diff --git "a/checkpoints_ft/llava_raw_200k/llava-v1.5-13b-pretrain/trainer_state.json" "b/checkpoints_ft/llava_raw_200k/llava-v1.5-13b-pretrain/trainer_state.json" new file mode 100644--- /dev/null +++ "b/checkpoints_ft/llava_raw_200k/llava-v1.5-13b-pretrain/trainer_state.json" @@ -0,0 +1,9408 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.0, + "eval_steps": 500, + "global_step": 1563, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 2.1276595744680852e-05, + "loss": 7.108, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 4.2553191489361704e-05, + "loss": 7.1953, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 6.382978723404255e-05, + "loss": 6.5838, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 8.510638297872341e-05, + "loss": 6.0248, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 0.00010638297872340425, + "loss": 5.2211, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 0.0001276595744680851, + "loss": 4.8425, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 0.00014893617021276596, + "loss": 4.6524, + "step": 7 + }, + { + "epoch": 0.01, + "learning_rate": 0.00017021276595744682, + "loss": 4.813, + "step": 8 + }, + { + "epoch": 0.01, + "learning_rate": 0.00019148936170212765, + "loss": 4.6359, + "step": 9 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002127659574468085, + "loss": 4.5986, + "step": 10 + }, + { + "epoch": 0.01, + "learning_rate": 0.00023404255319148937, + "loss": 4.2365, + "step": 11 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002553191489361702, + "loss": 4.3282, + "step": 12 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002765957446808511, + "loss": 4.2216, + "step": 13 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002978723404255319, + "loss": 4.2701, + "step": 14 + }, + { + "epoch": 0.01, + "learning_rate": 0.0003191489361702128, + "loss": 4.2888, + "step": 15 + }, + { + "epoch": 0.01, + "learning_rate": 0.00034042553191489364, + "loss": 4.0663, + "step": 16 + }, + { + "epoch": 0.01, + "learning_rate": 0.0003617021276595745, + "loss": 4.0237, + "step": 17 + }, + { + "epoch": 0.01, + "learning_rate": 0.0003829787234042553, + "loss": 3.9743, + "step": 18 + }, + { + "epoch": 0.01, + "learning_rate": 0.00040425531914893613, + "loss": 3.8384, + "step": 19 + }, + { + "epoch": 0.01, + "learning_rate": 0.000425531914893617, + "loss": 3.8563, + "step": 20 + }, + { + "epoch": 0.01, + "learning_rate": 0.00044680851063829785, + "loss": 3.9171, + "step": 21 + }, + { + "epoch": 0.01, + "learning_rate": 0.00046808510638297874, + "loss": 3.7824, + "step": 22 + }, + { + "epoch": 0.01, + "learning_rate": 0.0004893617021276596, + "loss": 3.8326, + "step": 23 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005106382978723404, + "loss": 3.7543, + "step": 24 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005319148936170213, + "loss": 3.6159, + "step": 25 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005531914893617022, + "loss": 3.8324, + "step": 26 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005744680851063831, + "loss": 3.7801, + "step": 27 + }, + { + "epoch": 0.02, + "learning_rate": 0.0005957446808510638, + "loss": 3.6986, + "step": 28 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006170212765957447, + "loss": 3.514, + "step": 29 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006382978723404256, + "loss": 3.5191, + "step": 30 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006595744680851064, + "loss": 3.6786, + "step": 31 + }, + { + "epoch": 0.02, + "learning_rate": 0.0006808510638297873, + "loss": 3.4974, + "step": 32 + }, + { + "epoch": 0.02, + "learning_rate": 0.0007021276595744682, + "loss": 3.48, + "step": 33 + }, + { + "epoch": 0.02, + "learning_rate": 0.000723404255319149, + "loss": 3.503, + "step": 34 + }, + { + "epoch": 0.02, + "learning_rate": 0.0007446808510638298, + "loss": 3.5276, + "step": 35 + }, + { + "epoch": 0.02, + "learning_rate": 0.0007659574468085106, + "loss": 3.4442, + "step": 36 + }, + { + "epoch": 0.02, + "learning_rate": 0.0007872340425531915, + "loss": 3.4631, + "step": 37 + }, + { + "epoch": 0.02, + "learning_rate": 0.0008085106382978723, + "loss": 3.4147, + "step": 38 + }, + { + "epoch": 0.02, + "learning_rate": 0.0008297872340425531, + "loss": 3.4706, + "step": 39 + }, + { + "epoch": 0.03, + "learning_rate": 0.000851063829787234, + "loss": 3.5004, + "step": 40 + }, + { + "epoch": 0.03, + "learning_rate": 0.0008723404255319149, + "loss": 3.4641, + "step": 41 + }, + { + "epoch": 0.03, + "learning_rate": 0.0008936170212765957, + "loss": 3.4686, + "step": 42 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009148936170212766, + "loss": 3.3098, + "step": 43 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009361702127659575, + "loss": 3.1808, + "step": 44 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009574468085106384, + "loss": 3.1921, + "step": 45 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009787234042553192, + "loss": 3.3104, + "step": 46 + }, + { + "epoch": 0.03, + "learning_rate": 0.001, + "loss": 3.3155, + "step": 47 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999989264032304, + "loss": 3.2819, + "step": 48 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999957056175321, + "loss": 3.2802, + "step": 49 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999903376567364, + "loss": 3.0536, + "step": 50 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999828225438954, + "loss": 3.101, + "step": 51 + }, + { + "epoch": 0.03, + "learning_rate": 0.0009999731603112817, + "loss": 3.1781, + "step": 52 + }, + { + "epoch": 0.03, + "learning_rate": 0.000999961351000389, + "loss": 3.0154, + "step": 53 + }, + { + "epoch": 0.03, + "learning_rate": 0.000999947394661931, + "loss": 3.1807, + "step": 54 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009999312913558413, + "loss": 3.1276, + "step": 55 + }, + { + "epoch": 0.04, + "learning_rate": 0.000999913041151274, + "loss": 3.1217, + "step": 56 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009998926441266026, + "loss": 3.0376, + "step": 57 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009998701003694195, + "loss": 3.1796, + "step": 58 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009998454099765367, + "loss": 3.1062, + "step": 59 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009998185730539842, + "loss": 3.0824, + "step": 60 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009997895897170099, + "loss": 3.0683, + "step": 61 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009997584600900799, + "loss": 2.8955, + "step": 62 + }, + { + "epoch": 0.04, + "learning_rate": 0.000999725184306876, + "loss": 3.1632, + "step": 63 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009996897625102986, + "loss": 2.878, + "step": 64 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009996521948524616, + "loss": 2.9642, + "step": 65 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009996124814946952, + "loss": 3.0548, + "step": 66 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009995706226075445, + "loss": 2.9631, + "step": 67 + }, + { + "epoch": 0.04, + "learning_rate": 0.000999526618370767, + "loss": 2.9474, + "step": 68 + }, + { + "epoch": 0.04, + "learning_rate": 0.0009994804689733344, + "loss": 2.9853, + "step": 69 + }, + { + "epoch": 0.04, + "learning_rate": 0.00099943217461343, + "loss": 2.9542, + "step": 70 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009993817354984485, + "loss": 2.984, + "step": 71 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009993291518449947, + "loss": 3.0298, + "step": 72 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009992744238788835, + "loss": 3.0919, + "step": 73 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009992175518351379, + "loss": 2.9055, + "step": 74 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009991585359579885, + "loss": 2.993, + "step": 75 + }, + { + "epoch": 0.05, + "learning_rate": 0.000999097376500872, + "loss": 3.0122, + "step": 76 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009990340737264312, + "loss": 2.9489, + "step": 77 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009989686279065124, + "loss": 2.8933, + "step": 78 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009989010393221655, + "loss": 2.9019, + "step": 79 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009988313082636422, + "loss": 2.9815, + "step": 80 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009987594350303942, + "loss": 2.8513, + "step": 81 + }, + { + "epoch": 0.05, + "learning_rate": 0.000998685419931073, + "loss": 2.9635, + "step": 82 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009986092632835286, + "loss": 2.9016, + "step": 83 + }, + { + "epoch": 0.05, + "learning_rate": 0.0009985309654148068, + "loss": 2.881, + "step": 84 + }, + { + "epoch": 0.05, + "learning_rate": 0.000998450526661149, + "loss": 2.8898, + "step": 85 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009983679473679903, + "loss": 2.709, + "step": 86 + }, + { + "epoch": 0.06, + "learning_rate": 0.000998283227889958, + "loss": 2.8043, + "step": 87 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009981963685908705, + "loss": 2.9313, + "step": 88 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009981073698437355, + "loss": 2.7111, + "step": 89 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009980162320307477, + "loss": 2.8254, + "step": 90 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009979229555432882, + "loss": 2.8376, + "step": 91 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009978275407819225, + "loss": 2.6649, + "step": 92 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009977299881563984, + "loss": 2.8524, + "step": 93 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009976302980856447, + "loss": 2.7397, + "step": 94 + }, + { + "epoch": 0.06, + "learning_rate": 0.000997528470997769, + "loss": 2.6912, + "step": 95 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009974245073300564, + "loss": 2.8565, + "step": 96 + }, + { + "epoch": 0.06, + "learning_rate": 0.000997318407528967, + "loss": 2.789, + "step": 97 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009972101720501347, + "loss": 2.84, + "step": 98 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009970998013583642, + "loss": 2.774, + "step": 99 + }, + { + "epoch": 0.06, + "learning_rate": 0.00099698729592763, + "loss": 2.6355, + "step": 100 + }, + { + "epoch": 0.06, + "learning_rate": 0.0009968726562410743, + "loss": 2.8173, + "step": 101 + }, + { + "epoch": 0.07, + "learning_rate": 0.000996755882791004, + "loss": 2.6143, + "step": 102 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009966369760788896, + "loss": 2.6691, + "step": 103 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009965159366153622, + "loss": 2.6734, + "step": 104 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009963927649202127, + "loss": 2.7468, + "step": 105 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009962674615223877, + "loss": 2.6971, + "step": 106 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009961400269599885, + "loss": 2.7469, + "step": 107 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009960104617802686, + "loss": 2.7382, + "step": 108 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009958787665396308, + "loss": 2.7565, + "step": 109 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009957449418036256, + "loss": 2.6273, + "step": 110 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009956089881469482, + "loss": 2.7472, + "step": 111 + }, + { + "epoch": 0.07, + "learning_rate": 0.000995470906153436, + "loss": 2.588, + "step": 112 + }, + { + "epoch": 0.07, + "learning_rate": 0.000995330696416067, + "loss": 2.6636, + "step": 113 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009951883595369555, + "loss": 2.5938, + "step": 114 + }, + { + "epoch": 0.07, + "learning_rate": 0.0009950438961273517, + "loss": 2.7012, + "step": 115 + }, + { + "epoch": 0.07, + "learning_rate": 0.000994897306807637, + "loss": 2.5484, + "step": 116 + }, + { + "epoch": 0.07, + "learning_rate": 0.000994748592207323, + "loss": 2.5682, + "step": 117 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009945977529650476, + "loss": 2.583, + "step": 118 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009944447897285728, + "loss": 2.668, + "step": 119 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009942897031547822, + "loss": 2.5936, + "step": 120 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009941324939096773, + "loss": 2.514, + "step": 121 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009939731626683755, + "loss": 2.6285, + "step": 122 + }, + { + "epoch": 0.08, + "learning_rate": 0.000993811710115107, + "loss": 2.5116, + "step": 123 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009936481369432115, + "loss": 2.4464, + "step": 124 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009934824438551353, + "loss": 2.5799, + "step": 125 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009933146315624288, + "loss": 2.5832, + "step": 126 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009931447007857433, + "loss": 2.5727, + "step": 127 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009929726522548267, + "loss": 2.6191, + "step": 128 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009927984867085223, + "loss": 2.6684, + "step": 129 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009926222048947644, + "loss": 2.4844, + "step": 130 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009924438075705755, + "loss": 2.6227, + "step": 131 + }, + { + "epoch": 0.08, + "learning_rate": 0.0009922632955020622, + "loss": 2.6172, + "step": 132 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009920806694644138, + "loss": 2.5165, + "step": 133 + }, + { + "epoch": 0.09, + "learning_rate": 0.000991895930241897, + "loss": 2.5375, + "step": 134 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009917090786278533, + "loss": 2.6482, + "step": 135 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009915201154246961, + "loss": 2.6062, + "step": 136 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009913290414439067, + "loss": 2.5604, + "step": 137 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009911358575060304, + "loss": 2.5019, + "step": 138 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009909405644406737, + "loss": 2.5783, + "step": 139 + }, + { + "epoch": 0.09, + "learning_rate": 0.000990743163086501, + "loss": 2.643, + "step": 140 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009905436542912301, + "loss": 2.4923, + "step": 141 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009903420389116287, + "loss": 2.5403, + "step": 142 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009901383178135112, + "loss": 2.526, + "step": 143 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009899324918717354, + "loss": 2.3946, + "step": 144 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009897245619701971, + "loss": 2.4762, + "step": 145 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009895145290018282, + "loss": 2.5249, + "step": 146 + }, + { + "epoch": 0.09, + "learning_rate": 0.000989302393868591, + "loss": 2.5589, + "step": 147 + }, + { + "epoch": 0.09, + "learning_rate": 0.0009890881574814764, + "loss": 2.5168, + "step": 148 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009888718207604979, + "loss": 2.5024, + "step": 149 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009886533846346897, + "loss": 2.4461, + "step": 150 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009884328500421005, + "loss": 2.5174, + "step": 151 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009882102179297914, + "loss": 2.5289, + "step": 152 + }, + { + "epoch": 0.1, + "learning_rate": 0.000987985489253831, + "loss": 2.4729, + "step": 153 + }, + { + "epoch": 0.1, + "learning_rate": 0.000987758664979291, + "loss": 2.4637, + "step": 154 + }, + { + "epoch": 0.1, + "learning_rate": 0.000987529746080243, + "loss": 2.5186, + "step": 155 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009872987335397532, + "loss": 2.4407, + "step": 156 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009870656283498785, + "loss": 2.4552, + "step": 157 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009868304315116634, + "loss": 2.4524, + "step": 158 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009865931440351337, + "loss": 2.4382, + "step": 159 + }, + { + "epoch": 0.1, + "learning_rate": 0.000986353766939294, + "loss": 2.5236, + "step": 160 + }, + { + "epoch": 0.1, + "learning_rate": 0.000986112301252122, + "loss": 2.3765, + "step": 161 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009858687480105645, + "loss": 2.3683, + "step": 162 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009856231082605344, + "loss": 2.3164, + "step": 163 + }, + { + "epoch": 0.1, + "learning_rate": 0.0009853753830569027, + "loss": 2.3975, + "step": 164 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009851255734634981, + "loss": 2.4327, + "step": 165 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009848736805530996, + "loss": 2.3305, + "step": 166 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009846197054074325, + "loss": 2.4151, + "step": 167 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009843636491171648, + "loss": 2.3239, + "step": 168 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009841055127819008, + "loss": 2.3778, + "step": 169 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009838452975101783, + "loss": 2.4159, + "step": 170 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009835830044194625, + "loss": 2.4867, + "step": 171 + }, + { + "epoch": 0.11, + "learning_rate": 0.000983318634636141, + "loss": 2.2631, + "step": 172 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009830521892955201, + "loss": 2.3465, + "step": 173 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009827836695418194, + "loss": 2.2615, + "step": 174 + }, + { + "epoch": 0.11, + "learning_rate": 0.0009825130765281668, + "loss": 2.3477, + "step": 175 + }, + { + "epoch": 0.11, + "learning_rate": 0.000982240411416593, + "loss": 2.3642, + "step": 176 + }, + { + "epoch": 0.11, + "learning_rate": 0.000981965675378028, + "loss": 2.3737, + "step": 177 + }, + { + "epoch": 0.11, + "learning_rate": 0.000981688869592294, + "loss": 2.3817, + "step": 178 + }, + { + "epoch": 0.11, + "learning_rate": 0.000981409995248103, + "loss": 2.3798, + "step": 179 + }, + { + "epoch": 0.12, + "learning_rate": 0.000981129053543049, + "loss": 2.2757, + "step": 180 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009808460456836045, + "loss": 2.4109, + "step": 181 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009805609728851148, + "loss": 2.3866, + "step": 182 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009802738363717926, + "loss": 2.2564, + "step": 183 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009799846373767134, + "loss": 2.2494, + "step": 184 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009796933771418098, + "loss": 2.349, + "step": 185 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009794000569178659, + "loss": 2.4194, + "step": 186 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009791046779645122, + "loss": 2.3216, + "step": 187 + }, + { + "epoch": 0.12, + "learning_rate": 0.00097880724155022, + "loss": 2.3861, + "step": 188 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009785077489522969, + "loss": 2.2825, + "step": 189 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009782062014568797, + "loss": 2.3263, + "step": 190 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009779026003589304, + "loss": 2.2013, + "step": 191 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009775969469622292, + "loss": 2.2716, + "step": 192 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009772892425793705, + "loss": 2.4497, + "step": 193 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009769794885317558, + "loss": 2.2882, + "step": 194 + }, + { + "epoch": 0.12, + "learning_rate": 0.0009766676861495888, + "loss": 2.2883, + "step": 195 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009763538367718698, + "loss": 2.3532, + "step": 196 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009760379417463893, + "loss": 2.3784, + "step": 197 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009757200024297232, + "loss": 2.3293, + "step": 198 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009754000201872258, + "loss": 2.3501, + "step": 199 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009750779963930245, + "loss": 2.3574, + "step": 200 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009747539324300144, + "loss": 2.2178, + "step": 201 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009744278296898515, + "loss": 2.3093, + "step": 202 + }, + { + "epoch": 0.13, + "learning_rate": 0.000974099689572947, + "loss": 2.4095, + "step": 203 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009737695134884619, + "loss": 2.3221, + "step": 204 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009734373028543, + "loss": 2.3116, + "step": 205 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009731030590971022, + "loss": 2.3332, + "step": 206 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009727667836522407, + "loss": 2.251, + "step": 207 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009724284779638126, + "loss": 2.3526, + "step": 208 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009720881434846331, + "loss": 2.2599, + "step": 209 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009717457816762305, + "loss": 2.2631, + "step": 210 + }, + { + "epoch": 0.13, + "learning_rate": 0.0009714013940088388, + "loss": 2.4821, + "step": 211 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009710549819613918, + "loss": 2.2771, + "step": 212 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009707065470215173, + "loss": 2.335, + "step": 213 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009703560906855295, + "loss": 2.2848, + "step": 214 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009700036144584237, + "loss": 2.2959, + "step": 215 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009696491198538691, + "loss": 2.3476, + "step": 216 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009692926083942028, + "loss": 2.3183, + "step": 217 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009689340816104232, + "loss": 2.3273, + "step": 218 + }, + { + "epoch": 0.14, + "learning_rate": 0.000968573541042183, + "loss": 2.2907, + "step": 219 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009682109882377828, + "loss": 2.2288, + "step": 220 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009678464247541647, + "loss": 2.3493, + "step": 221 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009674798521569056, + "loss": 2.2174, + "step": 222 + }, + { + "epoch": 0.14, + "learning_rate": 0.00096711127202021, + "loss": 2.2263, + "step": 223 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009667406859269037, + "loss": 2.1875, + "step": 224 + }, + { + "epoch": 0.14, + "learning_rate": 0.0009663680954684268, + "loss": 2.1721, + "step": 225 + }, + { + "epoch": 0.14, + "learning_rate": 0.000965993502244827, + "loss": 2.2401, + "step": 226 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009656169078647525, + "loss": 2.2895, + "step": 227 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009652383139454455, + "loss": 2.2994, + "step": 228 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009648577221127346, + "loss": 2.304, + "step": 229 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009644751340010287, + "loss": 2.3248, + "step": 230 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009640905512533091, + "loss": 2.1651, + "step": 231 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009637039755211232, + "loss": 2.4588, + "step": 232 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009633154084645766, + "loss": 2.3051, + "step": 233 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009629248517523265, + "loss": 2.201, + "step": 234 + }, + { + "epoch": 0.15, + "learning_rate": 0.000962532307061575, + "loss": 2.2204, + "step": 235 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009621377760780606, + "loss": 2.2385, + "step": 236 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009617412604960523, + "loss": 2.2268, + "step": 237 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009613427620183412, + "loss": 2.1924, + "step": 238 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009609422823562345, + "loss": 2.1914, + "step": 239 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009605398232295464, + "loss": 2.2397, + "step": 240 + }, + { + "epoch": 0.15, + "learning_rate": 0.0009601353863665925, + "loss": 2.2382, + "step": 241 + }, + { + "epoch": 0.15, + "learning_rate": 0.000959728973504181, + "loss": 2.1397, + "step": 242 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009593205863876062, + "loss": 2.3034, + "step": 243 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009589102267706405, + "loss": 2.2742, + "step": 244 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009584978964155267, + "loss": 2.1876, + "step": 245 + }, + { + "epoch": 0.16, + "learning_rate": 0.000958083597092971, + "loss": 2.1879, + "step": 246 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009576673305821353, + "loss": 2.2453, + "step": 247 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009572490986706289, + "loss": 2.1252, + "step": 248 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009568289031545017, + "loss": 2.1716, + "step": 249 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009564067458382357, + "loss": 2.226, + "step": 250 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009559826285347379, + "loss": 2.193, + "step": 251 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009555565530653322, + "loss": 2.2524, + "step": 252 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009551285212597516, + "loss": 2.2862, + "step": 253 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009546985349561302, + "loss": 2.2861, + "step": 254 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009542665960009959, + "loss": 2.2567, + "step": 255 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009538327062492616, + "loss": 2.2102, + "step": 256 + }, + { + "epoch": 0.16, + "learning_rate": 0.0009533968675642177, + "loss": 2.1723, + "step": 257 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009529590818175245, + "loss": 2.3281, + "step": 258 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009525193508892034, + "loss": 2.148, + "step": 259 + }, + { + "epoch": 0.17, + "learning_rate": 0.000952077676667629, + "loss": 2.3173, + "step": 260 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009516340610495216, + "loss": 2.1974, + "step": 261 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009511885059399383, + "loss": 2.1511, + "step": 262 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009507410132522651, + "loss": 2.2892, + "step": 263 + }, + { + "epoch": 0.17, + "learning_rate": 0.000950291584908209, + "loss": 2.266, + "step": 264 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009498402228377891, + "loss": 2.2416, + "step": 265 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009493869289793291, + "loss": 2.14, + "step": 266 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009489317052794481, + "loss": 2.3052, + "step": 267 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009484745536930528, + "loss": 2.2679, + "step": 268 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009480154761833292, + "loss": 2.2388, + "step": 269 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009475544747217337, + "loss": 2.3174, + "step": 270 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009470915512879852, + "loss": 2.2157, + "step": 271 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009466267078700561, + "loss": 2.3632, + "step": 272 + }, + { + "epoch": 0.17, + "learning_rate": 0.0009461599464641637, + "loss": 2.0922, + "step": 273 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009456912690747624, + "loss": 2.2296, + "step": 274 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009452206777145342, + "loss": 2.1478, + "step": 275 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009447481744043808, + "loss": 2.1135, + "step": 276 + }, + { + "epoch": 0.18, + "learning_rate": 0.000944273761173414, + "loss": 2.2915, + "step": 277 + }, + { + "epoch": 0.18, + "learning_rate": 0.000943797440058948, + "loss": 2.1634, + "step": 278 + }, + { + "epoch": 0.18, + "learning_rate": 0.00094331921310649, + "loss": 2.0843, + "step": 279 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009428390823697317, + "loss": 2.1926, + "step": 280 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009423570499105402, + "loss": 2.2488, + "step": 281 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009418731177989497, + "loss": 2.18, + "step": 282 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009413872881131517, + "loss": 2.2783, + "step": 283 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009408995629394872, + "loss": 2.1865, + "step": 284 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009404099443724368, + "loss": 2.2078, + "step": 285 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009399184345146121, + "loss": 2.1406, + "step": 286 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009394250354767467, + "loss": 2.1094, + "step": 287 + }, + { + "epoch": 0.18, + "learning_rate": 0.000938929749377687, + "loss": 2.2685, + "step": 288 + }, + { + "epoch": 0.18, + "learning_rate": 0.0009384325783443832, + "loss": 2.2398, + "step": 289 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009379335245118803, + "loss": 2.1341, + "step": 290 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009374325900233087, + "loss": 2.165, + "step": 291 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009369297770298747, + "loss": 2.2718, + "step": 292 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009364250876908523, + "loss": 2.274, + "step": 293 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009359185241735724, + "loss": 2.2583, + "step": 294 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009354100886534151, + "loss": 2.2744, + "step": 295 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009348997833137995, + "loss": 2.1787, + "step": 296 + }, + { + "epoch": 0.19, + "learning_rate": 0.000934387610346174, + "loss": 2.1388, + "step": 297 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009338735719500075, + "loss": 2.1725, + "step": 298 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009333576703327802, + "loss": 2.2194, + "step": 299 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009328399077099729, + "loss": 2.1777, + "step": 300 + }, + { + "epoch": 0.19, + "learning_rate": 0.000932320286305059, + "loss": 2.2725, + "step": 301 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009317988083494942, + "loss": 2.3469, + "step": 302 + }, + { + "epoch": 0.19, + "learning_rate": 0.000931275476082706, + "loss": 2.2439, + "step": 303 + }, + { + "epoch": 0.19, + "learning_rate": 0.0009307502917520863, + "loss": 2.2337, + "step": 304 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009302232576129797, + "loss": 2.2943, + "step": 305 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009296943759286748, + "loss": 2.1714, + "step": 306 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009291636489703941, + "loss": 2.243, + "step": 307 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009286310790172851, + "loss": 2.2194, + "step": 308 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009280966683564087, + "loss": 2.2637, + "step": 309 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009275604192827316, + "loss": 2.144, + "step": 310 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009270223340991146, + "loss": 2.2584, + "step": 311 + }, + { + "epoch": 0.2, + "learning_rate": 0.000926482415116304, + "loss": 2.2547, + "step": 312 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009259406646529209, + "loss": 2.2587, + "step": 313 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009253970850354511, + "loss": 2.2832, + "step": 314 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009248516785982364, + "loss": 2.201, + "step": 315 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009243044476834628, + "loss": 2.268, + "step": 316 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009237553946411519, + "loss": 2.1911, + "step": 317 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009232045218291498, + "loss": 2.3109, + "step": 318 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009226518316131176, + "loss": 2.3246, + "step": 319 + }, + { + "epoch": 0.2, + "learning_rate": 0.0009220973263665211, + "loss": 2.1487, + "step": 320 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009215410084706206, + "loss": 2.1668, + "step": 321 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009209828803144602, + "loss": 2.1548, + "step": 322 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009204229442948584, + "loss": 2.1904, + "step": 323 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009198612028163973, + "loss": 2.0854, + "step": 324 + }, + { + "epoch": 0.21, + "learning_rate": 0.000919297658291412, + "loss": 2.2675, + "step": 325 + }, + { + "epoch": 0.21, + "learning_rate": 0.000918732313139981, + "loss": 2.102, + "step": 326 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009181651697899152, + "loss": 2.199, + "step": 327 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009175962306767476, + "loss": 2.184, + "step": 328 + }, + { + "epoch": 0.21, + "learning_rate": 0.000917025498243723, + "loss": 2.2724, + "step": 329 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009164529749417875, + "loss": 2.116, + "step": 330 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009158786632295776, + "loss": 2.229, + "step": 331 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009153025655734102, + "loss": 2.2581, + "step": 332 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009147246844472717, + "loss": 2.1557, + "step": 333 + }, + { + "epoch": 0.21, + "learning_rate": 0.000914145022332807, + "loss": 2.2587, + "step": 334 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009135635817193099, + "loss": 2.2502, + "step": 335 + }, + { + "epoch": 0.21, + "learning_rate": 0.0009129803651037117, + "loss": 2.1707, + "step": 336 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009123953749905697, + "loss": 2.2182, + "step": 337 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009118086138920582, + "loss": 2.1679, + "step": 338 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009112200843279565, + "loss": 2.11, + "step": 339 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009106297888256383, + "loss": 2.199, + "step": 340 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009100377299200611, + "loss": 2.1865, + "step": 341 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009094439101537548, + "loss": 2.2557, + "step": 342 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009088483320768114, + "loss": 2.2548, + "step": 343 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009082509982468738, + "loss": 2.153, + "step": 344 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009076519112291246, + "loss": 2.2516, + "step": 345 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009070510735962753, + "loss": 2.1287, + "step": 346 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009064484879285555, + "loss": 2.2911, + "step": 347 + }, + { + "epoch": 0.22, + "learning_rate": 0.000905844156813701, + "loss": 2.0597, + "step": 348 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009052380828469435, + "loss": 2.0511, + "step": 349 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009046302686309997, + "loss": 2.1439, + "step": 350 + }, + { + "epoch": 0.22, + "learning_rate": 0.0009040207167760586, + "loss": 2.2244, + "step": 351 + }, + { + "epoch": 0.23, + "learning_rate": 0.000903409429899772, + "loss": 2.2189, + "step": 352 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009027964106272424, + "loss": 2.1356, + "step": 353 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009021816615910118, + "loss": 2.09, + "step": 354 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009015651854310505, + "loss": 2.2249, + "step": 355 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009009469847947459, + "loss": 2.2083, + "step": 356 + }, + { + "epoch": 0.23, + "learning_rate": 0.0009003270623368906, + "loss": 2.2736, + "step": 357 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008997054207196717, + "loss": 2.2922, + "step": 358 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008990820626126589, + "loss": 2.2362, + "step": 359 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008984569906927933, + "loss": 2.1109, + "step": 360 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008978302076443754, + "loss": 2.1859, + "step": 361 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008972017161590546, + "loss": 2.4003, + "step": 362 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008965715189358165, + "loss": 2.2753, + "step": 363 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008959396186809716, + "loss": 2.1252, + "step": 364 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008953060181081448, + "loss": 2.2287, + "step": 365 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008946707199382615, + "loss": 2.0739, + "step": 366 + }, + { + "epoch": 0.23, + "learning_rate": 0.0008940337268995384, + "loss": 2.1275, + "step": 367 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008933950417274701, + "loss": 2.2411, + "step": 368 + }, + { + "epoch": 0.24, + "learning_rate": 0.000892754667164818, + "loss": 2.1115, + "step": 369 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008921126059615983, + "loss": 2.1571, + "step": 370 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008914688608750701, + "loss": 2.2391, + "step": 371 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008908234346697244, + "loss": 2.119, + "step": 372 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008901763301172708, + "loss": 2.1566, + "step": 373 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008895275499966269, + "loss": 2.0553, + "step": 374 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008888770970939058, + "loss": 2.203, + "step": 375 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008882249742024036, + "loss": 2.1265, + "step": 376 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008875711841225889, + "loss": 2.2856, + "step": 377 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008869157296620892, + "loss": 2.0852, + "step": 378 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008862586136356794, + "loss": 2.2626, + "step": 379 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008855998388652705, + "loss": 2.0272, + "step": 380 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008849394081798962, + "loss": 2.1022, + "step": 381 + }, + { + "epoch": 0.24, + "learning_rate": 0.0008842773244157014, + "loss": 2.207, + "step": 382 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008836135904159301, + "loss": 2.1352, + "step": 383 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008829482090309131, + "loss": 2.1552, + "step": 384 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008822811831180555, + "loss": 2.1444, + "step": 385 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008816125155418249, + "loss": 2.2295, + "step": 386 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008809422091737387, + "loss": 2.1854, + "step": 387 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008802702668923517, + "loss": 2.2542, + "step": 388 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008795966915832443, + "loss": 2.3112, + "step": 389 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008789214861390095, + "loss": 2.2477, + "step": 390 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008782446534592412, + "loss": 2.1792, + "step": 391 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008775661964505204, + "loss": 2.2727, + "step": 392 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008768861180264045, + "loss": 2.2526, + "step": 393 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008762044211074132, + "loss": 2.2027, + "step": 394 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008755211086210172, + "loss": 2.1673, + "step": 395 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008748361835016246, + "loss": 2.1185, + "step": 396 + }, + { + "epoch": 0.25, + "learning_rate": 0.0008741496486905691, + "loss": 2.1435, + "step": 397 + }, + { + "epoch": 0.25, + "learning_rate": 0.000873461507136097, + "loss": 2.1853, + "step": 398 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008727717617933544, + "loss": 2.0286, + "step": 399 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008720804156243747, + "loss": 2.183, + "step": 400 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008713874715980661, + "loss": 2.2431, + "step": 401 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008706929326901982, + "loss": 2.2307, + "step": 402 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008699968018833904, + "loss": 2.3219, + "step": 403 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008692990821670974, + "loss": 2.1649, + "step": 404 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008685997765375981, + "loss": 2.2494, + "step": 405 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008678988879979812, + "loss": 2.1301, + "step": 406 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008671964195581336, + "loss": 2.0965, + "step": 407 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008664923742347266, + "loss": 2.2184, + "step": 408 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008657867550512033, + "loss": 2.2106, + "step": 409 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008650795650377659, + "loss": 2.172, + "step": 410 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008643708072313618, + "loss": 2.0944, + "step": 411 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008636604846756713, + "loss": 2.1609, + "step": 412 + }, + { + "epoch": 0.26, + "learning_rate": 0.0008629486004210945, + "loss": 2.1832, + "step": 413 + }, + { + "epoch": 0.26, + "learning_rate": 0.000862235157524738, + "loss": 2.0838, + "step": 414 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008615201590504016, + "loss": 2.1057, + "step": 415 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008608036080685658, + "loss": 2.1207, + "step": 416 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008600855076563776, + "loss": 2.0985, + "step": 417 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008593658608976383, + "loss": 2.1249, + "step": 418 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008586446708827895, + "loss": 2.1138, + "step": 419 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008579219407089003, + "loss": 2.1276, + "step": 420 + }, + { + "epoch": 0.27, + "learning_rate": 0.000857197673479654, + "loss": 2.1115, + "step": 421 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008564718723053342, + "loss": 2.1083, + "step": 422 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008557445403028121, + "loss": 2.1589, + "step": 423 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008550156805955331, + "loss": 2.2647, + "step": 424 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008542852963135028, + "loss": 2.3004, + "step": 425 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008535533905932737, + "loss": 2.1676, + "step": 426 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008528199665779328, + "loss": 2.227, + "step": 427 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008520850274170863, + "loss": 2.0909, + "step": 428 + }, + { + "epoch": 0.27, + "learning_rate": 0.0008513485762668475, + "loss": 2.1056, + "step": 429 + }, + { + "epoch": 0.28, + "learning_rate": 0.000850610616289823, + "loss": 2.1027, + "step": 430 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008498711506550983, + "loss": 2.2032, + "step": 431 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008491301825382252, + "loss": 2.1601, + "step": 432 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008483877151212076, + "loss": 2.1407, + "step": 433 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008476437515924877, + "loss": 2.078, + "step": 434 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008468982951469333, + "loss": 2.1124, + "step": 435 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008461513489858227, + "loss": 2.0846, + "step": 436 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008454029163168317, + "loss": 2.2554, + "step": 437 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008446530003540203, + "loss": 2.1727, + "step": 438 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008439016043178176, + "loss": 2.1117, + "step": 439 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008431487314350091, + "loss": 2.2175, + "step": 440 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008423943849387222, + "loss": 2.1967, + "step": 441 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008416385680684131, + "loss": 2.1834, + "step": 442 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008408812840698517, + "loss": 2.0768, + "step": 443 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008401225361951089, + "loss": 2.3348, + "step": 444 + }, + { + "epoch": 0.28, + "learning_rate": 0.0008393623277025415, + "loss": 2.1338, + "step": 445 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008386006618567792, + "loss": 2.2643, + "step": 446 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008378375419287098, + "loss": 2.2881, + "step": 447 + }, + { + "epoch": 0.29, + "learning_rate": 0.000837072971195466, + "loss": 2.1771, + "step": 448 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008363069529404102, + "loss": 2.1407, + "step": 449 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008355394904531211, + "loss": 2.3564, + "step": 450 + }, + { + "epoch": 0.29, + "learning_rate": 0.00083477058702938, + "loss": 2.2557, + "step": 451 + }, + { + "epoch": 0.29, + "learning_rate": 0.000834000245971156, + "loss": 2.1336, + "step": 452 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008332284705865914, + "loss": 2.1308, + "step": 453 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008324552641899885, + "loss": 2.1951, + "step": 454 + }, + { + "epoch": 0.29, + "learning_rate": 0.000831680630101795, + "loss": 2.2223, + "step": 455 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008309045716485895, + "loss": 2.114, + "step": 456 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008301270921630673, + "loss": 2.1581, + "step": 457 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008293481949840261, + "loss": 2.1657, + "step": 458 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008285678834563523, + "loss": 2.2689, + "step": 459 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008277861609310056, + "loss": 2.1744, + "step": 460 + }, + { + "epoch": 0.29, + "learning_rate": 0.0008270030307650047, + "loss": 2.0757, + "step": 461 + }, + { + "epoch": 0.3, + "learning_rate": 0.000826218496321414, + "loss": 2.1619, + "step": 462 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008254325609693279, + "loss": 2.1041, + "step": 463 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008246452280838572, + "loss": 2.0972, + "step": 464 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008238565010461139, + "loss": 2.2143, + "step": 465 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008230663832431974, + "loss": 2.0791, + "step": 466 + }, + { + "epoch": 0.3, + "learning_rate": 0.000822274878068179, + "loss": 2.1503, + "step": 467 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008214819889200888, + "loss": 2.0529, + "step": 468 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008206877192038995, + "loss": 2.2145, + "step": 469 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008198920723305126, + "loss": 2.1894, + "step": 470 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008190950517167437, + "loss": 2.2042, + "step": 471 + }, + { + "epoch": 0.3, + "learning_rate": 0.000818296660785308, + "loss": 2.13, + "step": 472 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008174969029648052, + "loss": 2.2678, + "step": 473 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008166957816897049, + "loss": 2.1321, + "step": 474 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008158933004003319, + "loss": 2.1269, + "step": 475 + }, + { + "epoch": 0.3, + "learning_rate": 0.0008150894625428515, + "loss": 2.1511, + "step": 476 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008142842715692548, + "loss": 2.1518, + "step": 477 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008134777309373434, + "loss": 2.0268, + "step": 478 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008126698441107145, + "loss": 2.2607, + "step": 479 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008118606145587477, + "loss": 2.1925, + "step": 480 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008110500457565872, + "loss": 2.1061, + "step": 481 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008102381411851296, + "loss": 2.0693, + "step": 482 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008094249043310073, + "loss": 2.0749, + "step": 483 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008086103386865742, + "loss": 2.1105, + "step": 484 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008077944477498905, + "loss": 2.3, + "step": 485 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008069772350247073, + "loss": 2.2033, + "step": 486 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008061587040204528, + "loss": 2.1764, + "step": 487 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008053388582522159, + "loss": 2.1677, + "step": 488 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008045177012407315, + "loss": 2.1205, + "step": 489 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008036952365123659, + "loss": 2.2182, + "step": 490 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008028714675991006, + "loss": 2.1146, + "step": 491 + }, + { + "epoch": 0.31, + "learning_rate": 0.0008020463980385189, + "loss": 2.1031, + "step": 492 + }, + { + "epoch": 0.32, + "learning_rate": 0.0008012200313737881, + "loss": 2.2019, + "step": 493 + }, + { + "epoch": 0.32, + "learning_rate": 0.0008003923711536468, + "loss": 2.1299, + "step": 494 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007995634209323885, + "loss": 2.0436, + "step": 495 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007987331842698462, + "loss": 2.1156, + "step": 496 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007979016647313775, + "loss": 1.9952, + "step": 497 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007970688658878491, + "loss": 2.2441, + "step": 498 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007962347913156217, + "loss": 2.1284, + "step": 499 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007953994445965342, + "loss": 2.0766, + "step": 500 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007945628293178892, + "loss": 2.0884, + "step": 501 + }, + { + "epoch": 0.32, + "learning_rate": 0.000793724949072436, + "loss": 2.0743, + "step": 502 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007928858074583569, + "loss": 2.1974, + "step": 503 + }, + { + "epoch": 0.32, + "learning_rate": 0.000792045408079251, + "loss": 2.1545, + "step": 504 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007912037545441181, + "loss": 2.1991, + "step": 505 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007903608504673446, + "loss": 2.1463, + "step": 506 + }, + { + "epoch": 0.32, + "learning_rate": 0.0007895166994686868, + "loss": 2.1355, + "step": 507 + }, + { + "epoch": 0.33, + "learning_rate": 0.000788671305173256, + "loss": 2.1087, + "step": 508 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007878246712115023, + "loss": 2.0589, + "step": 509 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007869768012191997, + "loss": 2.2506, + "step": 510 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007861276988374302, + "loss": 2.0158, + "step": 511 + }, + { + "epoch": 0.33, + "learning_rate": 0.000785277367712568, + "loss": 2.4129, + "step": 512 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007844258114962641, + "loss": 2.1517, + "step": 513 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007835730338454308, + "loss": 2.0532, + "step": 514 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007827190384222249, + "loss": 2.0328, + "step": 515 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007818638288940338, + "loss": 2.0241, + "step": 516 + }, + { + "epoch": 0.33, + "learning_rate": 0.000781007408933458, + "loss": 2.089, + "step": 517 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007801497822182963, + "loss": 2.1421, + "step": 518 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007792909524315298, + "loss": 2.0429, + "step": 519 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007784309232613063, + "loss": 2.0567, + "step": 520 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007775696984009236, + "loss": 2.0844, + "step": 521 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007767072815488146, + "loss": 1.9539, + "step": 522 + }, + { + "epoch": 0.33, + "learning_rate": 0.0007758436764085315, + "loss": 2.0838, + "step": 523 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007749788866887286, + "loss": 2.1944, + "step": 524 + }, + { + "epoch": 0.34, + "learning_rate": 0.000774112916103148, + "loss": 2.0697, + "step": 525 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007732457683706025, + "loss": 2.2145, + "step": 526 + }, + { + "epoch": 0.34, + "learning_rate": 0.00077237744721496, + "loss": 2.1201, + "step": 527 + }, + { + "epoch": 0.34, + "learning_rate": 0.000771507956365128, + "loss": 2.1739, + "step": 528 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007706372995550362, + "loss": 2.0991, + "step": 529 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007697654805236224, + "loss": 2.1051, + "step": 530 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007688925030148149, + "loss": 2.1091, + "step": 531 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007680183707775171, + "loss": 2.1335, + "step": 532 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007671430875655907, + "loss": 2.0519, + "step": 533 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007662666571378414, + "loss": 2.2235, + "step": 534 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007653890832580002, + "loss": 2.3042, + "step": 535 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007645103696947089, + "loss": 2.0202, + "step": 536 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007636305202215041, + "loss": 2.1496, + "step": 537 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007627495386167998, + "loss": 2.066, + "step": 538 + }, + { + "epoch": 0.34, + "learning_rate": 0.0007618674286638719, + "loss": 2.1071, + "step": 539 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007609841941508422, + "loss": 2.1633, + "step": 540 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007600998388706615, + "loss": 1.9864, + "step": 541 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007592143666210935, + "loss": 1.9886, + "step": 542 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007583277812046993, + "loss": 2.228, + "step": 543 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007574400864288194, + "loss": 2.1525, + "step": 544 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007565512861055588, + "loss": 2.1214, + "step": 545 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007556613840517703, + "loss": 2.0097, + "step": 546 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007547703840890377, + "loss": 2.1701, + "step": 547 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007538782900436596, + "loss": 2.153, + "step": 548 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007529851057466335, + "loss": 2.0473, + "step": 549 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007520908350336381, + "loss": 2.1777, + "step": 550 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007511954817450181, + "loss": 2.0794, + "step": 551 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007502990497257672, + "loss": 2.1227, + "step": 552 + }, + { + "epoch": 0.35, + "learning_rate": 0.0007494015428255116, + "loss": 2.0203, + "step": 553 + }, + { + "epoch": 0.35, + "learning_rate": 0.000748502964898493, + "loss": 2.2284, + "step": 554 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007476033198035531, + "loss": 2.1305, + "step": 555 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007467026114041162, + "loss": 2.1204, + "step": 556 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007458008435681725, + "loss": 2.1656, + "step": 557 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007448980201682625, + "loss": 2.0631, + "step": 558 + }, + { + "epoch": 0.36, + "learning_rate": 0.000743994145081459, + "loss": 2.1667, + "step": 559 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007430892221893517, + "loss": 2.2527, + "step": 560 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007421832553780298, + "loss": 2.1574, + "step": 561 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007412762485380654, + "loss": 2.2368, + "step": 562 + }, + { + "epoch": 0.36, + "learning_rate": 0.000740368205564497, + "loss": 1.9816, + "step": 563 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007394591303568125, + "loss": 2.0842, + "step": 564 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007385490268189329, + "loss": 2.1682, + "step": 565 + }, + { + "epoch": 0.36, + "learning_rate": 0.000737637898859195, + "loss": 2.0874, + "step": 566 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007367257503903349, + "loss": 2.1096, + "step": 567 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007358125853294713, + "loss": 2.0769, + "step": 568 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007348984075980881, + "loss": 2.1701, + "step": 569 + }, + { + "epoch": 0.36, + "learning_rate": 0.0007339832211220188, + "loss": 2.1171, + "step": 570 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007330670298314281, + "loss": 2.0259, + "step": 571 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007321498376607962, + "loss": 2.3257, + "step": 572 + }, + { + "epoch": 0.37, + "learning_rate": 0.000731231648548901, + "loss": 2.1601, + "step": 573 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007303124664388023, + "loss": 2.144, + "step": 574 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007293922952778238, + "loss": 2.1255, + "step": 575 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007284711390175365, + "loss": 2.1666, + "step": 576 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007275490016137421, + "loss": 2.169, + "step": 577 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007266258870264554, + "loss": 2.1561, + "step": 578 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007257017992198879, + "loss": 2.1957, + "step": 579 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007247767421624303, + "loss": 1.9553, + "step": 580 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007238507198266355, + "loss": 2.2364, + "step": 581 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007229237361892023, + "loss": 2.0767, + "step": 582 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007219957952309567, + "loss": 2.0499, + "step": 583 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007210669009368366, + "loss": 2.0317, + "step": 584 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007201370572958737, + "loss": 2.2624, + "step": 585 + }, + { + "epoch": 0.37, + "learning_rate": 0.0007192062683011766, + "loss": 2.2565, + "step": 586 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007182745379499133, + "loss": 2.0744, + "step": 587 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007173418702432948, + "loss": 2.1936, + "step": 588 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007164082691865572, + "loss": 2.1317, + "step": 589 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007154737387889445, + "loss": 2.1379, + "step": 590 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007145382830636924, + "loss": 2.1355, + "step": 591 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007136019060280099, + "loss": 2.2058, + "step": 592 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007126646117030618, + "loss": 2.1335, + "step": 593 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007117264041139535, + "loss": 2.0544, + "step": 594 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007107872872897112, + "loss": 2.045, + "step": 595 + }, + { + "epoch": 0.38, + "learning_rate": 0.000709847265263266, + "loss": 2.1062, + "step": 596 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007089063420714365, + "loss": 2.0644, + "step": 597 + }, + { + "epoch": 0.38, + "learning_rate": 0.000707964521754911, + "loss": 2.1581, + "step": 598 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007070218083582305, + "loss": 2.0723, + "step": 599 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007060782059297712, + "loss": 2.191, + "step": 600 + }, + { + "epoch": 0.38, + "learning_rate": 0.0007051337185217274, + "loss": 2.0073, + "step": 601 + }, + { + "epoch": 0.39, + "learning_rate": 0.0007041883501900933, + "loss": 2.1849, + "step": 602 + }, + { + "epoch": 0.39, + "learning_rate": 0.0007032421049946467, + "loss": 2.1022, + "step": 603 + }, + { + "epoch": 0.39, + "learning_rate": 0.0007022949869989306, + "loss": 2.0704, + "step": 604 + }, + { + "epoch": 0.39, + "learning_rate": 0.0007013470002702363, + "loss": 2.1019, + "step": 605 + }, + { + "epoch": 0.39, + "learning_rate": 0.0007003981488795858, + "loss": 2.1711, + "step": 606 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006994484369017142, + "loss": 1.9983, + "step": 607 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006984978684150524, + "loss": 2.1143, + "step": 608 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006975464475017094, + "loss": 2.102, + "step": 609 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006965941782474548, + "loss": 1.9986, + "step": 610 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006956410647417017, + "loss": 2.1441, + "step": 611 + }, + { + "epoch": 0.39, + "learning_rate": 0.000694687111077488, + "loss": 2.0354, + "step": 612 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006937323213514602, + "loss": 2.0708, + "step": 613 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006927766996638548, + "loss": 1.9991, + "step": 614 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006918202501184815, + "loss": 2.1745, + "step": 615 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006908629768227048, + "loss": 2.2681, + "step": 616 + }, + { + "epoch": 0.39, + "learning_rate": 0.0006899048838874267, + "loss": 2.2005, + "step": 617 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006889459754270689, + "loss": 2.1742, + "step": 618 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006879862555595559, + "loss": 2.003, + "step": 619 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006870257284062961, + "loss": 1.914, + "step": 620 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006860643980921648, + "loss": 2.0526, + "step": 621 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006851022687454867, + "loss": 2.1416, + "step": 622 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006841393444980176, + "loss": 2.0452, + "step": 623 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006831756294849267, + "loss": 2.081, + "step": 624 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006822111278447795, + "loss": 2.1476, + "step": 625 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006812458437195197, + "loss": 2.138, + "step": 626 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006802797812544502, + "loss": 2.066, + "step": 627 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006793129445982178, + "loss": 2.0665, + "step": 628 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006783453379027931, + "loss": 2.1124, + "step": 629 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006773769653234538, + "loss": 2.1271, + "step": 630 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006764078310187667, + "loss": 2.1177, + "step": 631 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006754379391505695, + "loss": 2.1263, + "step": 632 + }, + { + "epoch": 0.4, + "learning_rate": 0.0006744672938839533, + "loss": 2.1893, + "step": 633 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006734958993872447, + "loss": 2.0714, + "step": 634 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006725237598319877, + "loss": 2.1461, + "step": 635 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006715508793929257, + "loss": 2.0332, + "step": 636 + }, + { + "epoch": 0.41, + "learning_rate": 0.000670577262247984, + "loss": 2.2587, + "step": 637 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006696029125782515, + "loss": 2.0497, + "step": 638 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006686278345679625, + "loss": 2.1505, + "step": 639 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006676520324044801, + "loss": 2.2021, + "step": 640 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006666755102782757, + "loss": 2.0617, + "step": 641 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006656982723829139, + "loss": 2.0975, + "step": 642 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006647203229150322, + "loss": 2.0867, + "step": 643 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006637416660743243, + "loss": 2.1205, + "step": 644 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006627623060635214, + "loss": 2.1765, + "step": 645 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006617822470883746, + "loss": 2.1082, + "step": 646 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006608014933576361, + "loss": 2.1609, + "step": 647 + }, + { + "epoch": 0.41, + "learning_rate": 0.0006598200490830426, + "loss": 2.1197, + "step": 648 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006588379184792954, + "loss": 2.1256, + "step": 649 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006578551057640436, + "loss": 2.073, + "step": 650 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006568716151578654, + "loss": 2.0063, + "step": 651 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006558874508842498, + "loss": 2.0374, + "step": 652 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006549026171695797, + "loss": 2.1831, + "step": 653 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006539171182431121, + "loss": 2.1439, + "step": 654 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006529309583369606, + "loss": 2.011, + "step": 655 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006519441416860778, + "loss": 2.0212, + "step": 656 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006509566725282362, + "loss": 2.1151, + "step": 657 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006499685551040108, + "loss": 2.0407, + "step": 658 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006489797936567603, + "loss": 2.2286, + "step": 659 + }, + { + "epoch": 0.42, + "learning_rate": 0.000647990392432609, + "loss": 2.0817, + "step": 660 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006470003556804286, + "loss": 2.0324, + "step": 661 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006460096876518204, + "loss": 2.0501, + "step": 662 + }, + { + "epoch": 0.42, + "learning_rate": 0.000645018392601096, + "loss": 2.0481, + "step": 663 + }, + { + "epoch": 0.42, + "learning_rate": 0.0006440264747852605, + "loss": 2.0808, + "step": 664 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006430339384639927, + "loss": 2.0095, + "step": 665 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006420407878996277, + "loss": 2.144, + "step": 666 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006410470273571386, + "loss": 1.9558, + "step": 667 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006400526611041177, + "loss": 2.1207, + "step": 668 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006390576934107589, + "loss": 2.0454, + "step": 669 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006380621285498382, + "loss": 2.1451, + "step": 670 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006370659707966967, + "loss": 2.0708, + "step": 671 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006360692244292213, + "loss": 2.0124, + "step": 672 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006350718937278268, + "loss": 2.0163, + "step": 673 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006340739829754372, + "loss": 2.1376, + "step": 674 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006330754964574676, + "loss": 2.0892, + "step": 675 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006320764384618055, + "loss": 2.2149, + "step": 676 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006310768132787928, + "loss": 1.946, + "step": 677 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006300766252012069, + "loss": 2.0116, + "step": 678 + }, + { + "epoch": 0.43, + "learning_rate": 0.0006290758785242424, + "loss": 2.1479, + "step": 679 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006280745775454933, + "loss": 2.2129, + "step": 680 + }, + { + "epoch": 0.44, + "learning_rate": 0.000627072726564933, + "loss": 2.0555, + "step": 681 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006260703298848979, + "loss": 2.177, + "step": 682 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006250673918100671, + "loss": 1.9583, + "step": 683 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006240639166474451, + "loss": 2.2028, + "step": 684 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006230599087063425, + "loss": 2.1802, + "step": 685 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006220553722983582, + "loss": 2.1482, + "step": 686 + }, + { + "epoch": 0.44, + "learning_rate": 0.00062105031173736, + "loss": 2.0283, + "step": 687 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006200447313394675, + "loss": 2.2278, + "step": 688 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006190386354230319, + "loss": 2.0406, + "step": 689 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006180320283086184, + "loss": 2.135, + "step": 690 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006170249143189878, + "loss": 2.1924, + "step": 691 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006160172977790772, + "loss": 2.0691, + "step": 692 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006150091830159823, + "loss": 2.0878, + "step": 693 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006140005743589379, + "loss": 2.2254, + "step": 694 + }, + { + "epoch": 0.44, + "learning_rate": 0.0006129914761393001, + "loss": 2.0358, + "step": 695 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006119818926905269, + "loss": 2.1806, + "step": 696 + }, + { + "epoch": 0.45, + "learning_rate": 0.000610971828348161, + "loss": 2.0931, + "step": 697 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006099612874498095, + "loss": 2.1897, + "step": 698 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006089502743351258, + "loss": 2.2158, + "step": 699 + }, + { + "epoch": 0.45, + "learning_rate": 0.000607938793345792, + "loss": 2.1099, + "step": 700 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006069268488254986, + "loss": 2.1447, + "step": 701 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006059144451199274, + "loss": 2.088, + "step": 702 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006049015865767318, + "loss": 2.0913, + "step": 703 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006038882775455182, + "loss": 1.9968, + "step": 704 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006028745223778278, + "loss": 2.1489, + "step": 705 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006018603254271178, + "loss": 2.1627, + "step": 706 + }, + { + "epoch": 0.45, + "learning_rate": 0.0006008456910487428, + "loss": 2.01, + "step": 707 + }, + { + "epoch": 0.45, + "learning_rate": 0.000599830623599935, + "loss": 2.1357, + "step": 708 + }, + { + "epoch": 0.45, + "learning_rate": 0.0005988151274397873, + "loss": 1.9943, + "step": 709 + }, + { + "epoch": 0.45, + "learning_rate": 0.0005977992069292331, + "loss": 2.1386, + "step": 710 + }, + { + "epoch": 0.45, + "learning_rate": 0.0005967828664310283, + "loss": 2.085, + "step": 711 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005957661103097327, + "loss": 1.9988, + "step": 712 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005947489429316904, + "loss": 2.0894, + "step": 713 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005937313686650117, + "loss": 2.1503, + "step": 714 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005927133918795548, + "loss": 2.0145, + "step": 715 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005916950169469057, + "loss": 2.1422, + "step": 716 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005906762482403607, + "loss": 2.076, + "step": 717 + }, + { + "epoch": 0.46, + "learning_rate": 0.000589657090134907, + "loss": 2.0052, + "step": 718 + }, + { + "epoch": 0.46, + "learning_rate": 0.000588637547007204, + "loss": 2.1047, + "step": 719 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005876176232355642, + "loss": 2.0958, + "step": 720 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005865973231999356, + "loss": 2.0371, + "step": 721 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005855766512818812, + "loss": 2.0751, + "step": 722 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005845556118645611, + "loss": 2.1058, + "step": 723 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005835342093327143, + "loss": 2.0289, + "step": 724 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005825124480726382, + "loss": 2.0813, + "step": 725 + }, + { + "epoch": 0.46, + "learning_rate": 0.0005814903324721715, + "loss": 2.0131, + "step": 726 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005804678669206738, + "loss": 2.1488, + "step": 727 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005794450558090082, + "loss": 2.1403, + "step": 728 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005784219035295214, + "loss": 2.0519, + "step": 729 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005773984144760256, + "loss": 2.0766, + "step": 730 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005763745930437787, + "loss": 2.1381, + "step": 731 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005753504436294665, + "loss": 2.183, + "step": 732 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005743259706311826, + "loss": 2.0202, + "step": 733 + }, + { + "epoch": 0.47, + "learning_rate": 0.000573301178448411, + "loss": 1.9394, + "step": 734 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005722760714820057, + "loss": 2.1314, + "step": 735 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005712506541341731, + "loss": 2.0171, + "step": 736 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005702249308084519, + "loss": 2.1841, + "step": 737 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005691989059096954, + "loss": 2.1028, + "step": 738 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005681725838440515, + "loss": 2.1786, + "step": 739 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005671459690189443, + "loss": 1.9829, + "step": 740 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005661190658430556, + "loss": 2.0996, + "step": 741 + }, + { + "epoch": 0.47, + "learning_rate": 0.0005650918787263048, + "loss": 2.1729, + "step": 742 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005640644120798312, + "loss": 2.0628, + "step": 743 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005630366703159739, + "loss": 2.0293, + "step": 744 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005620086578482544, + "loss": 2.1123, + "step": 745 + }, + { + "epoch": 0.48, + "learning_rate": 0.000560980379091356, + "loss": 2.0685, + "step": 746 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005599518384611052, + "loss": 2.1878, + "step": 747 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005589230403744543, + "loss": 2.1039, + "step": 748 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005578939892494601, + "loss": 2.0256, + "step": 749 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005568646895052666, + "loss": 2.1454, + "step": 750 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005558351455620851, + "loss": 2.1523, + "step": 751 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005548053618411763, + "loss": 2.1313, + "step": 752 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005537753427648295, + "loss": 2.0054, + "step": 753 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005527450927563457, + "loss": 2.0739, + "step": 754 + }, + { + "epoch": 0.48, + "learning_rate": 0.000551714616240017, + "loss": 2.0825, + "step": 755 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005506839176411088, + "loss": 2.1276, + "step": 756 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005496530013858395, + "loss": 2.003, + "step": 757 + }, + { + "epoch": 0.48, + "learning_rate": 0.0005486218719013626, + "loss": 2.1952, + "step": 758 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005475905336157473, + "loss": 2.0608, + "step": 759 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005465589909579595, + "loss": 2.1367, + "step": 760 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005455272483578424, + "loss": 2.1141, + "step": 761 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005444953102460982, + "loss": 2.1984, + "step": 762 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005434631810542687, + "loss": 2.0545, + "step": 763 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005424308652147162, + "loss": 2.2969, + "step": 764 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005413983671606043, + "loss": 2.0684, + "step": 765 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005403656913258796, + "loss": 2.1263, + "step": 766 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005393328421452513, + "loss": 2.0416, + "step": 767 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005382998240541741, + "loss": 2.0437, + "step": 768 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005372666414888274, + "loss": 2.0819, + "step": 769 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005362332988860972, + "loss": 2.1703, + "step": 770 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005351998006835562, + "loss": 2.0741, + "step": 771 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005341661513194461, + "loss": 2.0513, + "step": 772 + }, + { + "epoch": 0.49, + "learning_rate": 0.0005331323552326573, + "loss": 2.076, + "step": 773 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005320984168627102, + "loss": 2.1185, + "step": 774 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005310643406497366, + "loss": 2.0478, + "step": 775 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005300301310344599, + "loss": 2.1537, + "step": 776 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005289957924581764, + "loss": 2.1505, + "step": 777 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005279613293627366, + "loss": 2.0568, + "step": 778 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005269267461905253, + "loss": 2.2114, + "step": 779 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005258920473844429, + "loss": 2.1625, + "step": 780 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005248572373878869, + "loss": 2.0115, + "step": 781 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005238223206447319, + "loss": 2.1034, + "step": 782 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005227873015993108, + "loss": 2.1129, + "step": 783 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005217521846963964, + "loss": 2.0187, + "step": 784 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005207169743811809, + "loss": 2.1779, + "step": 785 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005196816750992583, + "loss": 2.0684, + "step": 786 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005186462912966047, + "loss": 2.1183, + "step": 787 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005176108274195586, + "loss": 2.1561, + "step": 788 + }, + { + "epoch": 0.5, + "learning_rate": 0.0005165752879148027, + "loss": 2.1467, + "step": 789 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005155396772293447, + "loss": 1.9988, + "step": 790 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005145039998104974, + "loss": 2.0457, + "step": 791 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005134682601058609, + "loss": 2.0758, + "step": 792 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005124324625633021, + "loss": 2.1233, + "step": 793 + }, + { + "epoch": 0.51, + "learning_rate": 0.000511396611630937, + "loss": 2.064, + "step": 794 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005103607117571098, + "loss": 2.1289, + "step": 795 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005093247673903761, + "loss": 2.108, + "step": 796 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005082887829794819, + "loss": 2.2605, + "step": 797 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005072527629733451, + "loss": 2.2369, + "step": 798 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005062167118210367, + "loss": 2.1236, + "step": 799 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005051806339717613, + "loss": 1.9941, + "step": 800 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005041445338748383, + "loss": 2.0634, + "step": 801 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005031084159796827, + "loss": 2.124, + "step": 802 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005020722847357858, + "loss": 1.9971, + "step": 803 + }, + { + "epoch": 0.51, + "learning_rate": 0.0005010361445926958, + "loss": 2.146, + "step": 804 + }, + { + "epoch": 0.52, + "learning_rate": 0.0005, + "loss": 2.1, + "step": 805 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004989638554073043, + "loss": 2.0237, + "step": 806 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004979277152642144, + "loss": 2.0851, + "step": 807 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004968915840203174, + "loss": 2.117, + "step": 808 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004958554661251616, + "loss": 2.1807, + "step": 809 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004948193660282387, + "loss": 2.0706, + "step": 810 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004937832881789635, + "loss": 1.9671, + "step": 811 + }, + { + "epoch": 0.52, + "learning_rate": 0.000492747237026655, + "loss": 2.2476, + "step": 812 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004917112170205183, + "loss": 2.1059, + "step": 813 + }, + { + "epoch": 0.52, + "learning_rate": 0.000490675232609624, + "loss": 1.9637, + "step": 814 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004896392882428901, + "loss": 2.1806, + "step": 815 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004886033883690631, + "loss": 2.231, + "step": 816 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004875675374366979, + "loss": 2.0196, + "step": 817 + }, + { + "epoch": 0.52, + "learning_rate": 0.00048653173989413924, + "loss": 2.0711, + "step": 818 + }, + { + "epoch": 0.52, + "learning_rate": 0.0004854960001895027, + "loss": 2.178, + "step": 819 + }, + { + "epoch": 0.52, + "learning_rate": 0.00048446032277065556, + "loss": 2.1598, + "step": 820 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004834247120851972, + "loss": 2.0319, + "step": 821 + }, + { + "epoch": 0.53, + "learning_rate": 0.00048238917258044153, + "loss": 1.9075, + "step": 822 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004813537087033954, + "loss": 2.1124, + "step": 823 + }, + { + "epoch": 0.53, + "learning_rate": 0.00048031832490074165, + "loss": 2.0723, + "step": 824 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004792830256188192, + "loss": 2.1403, + "step": 825 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004782478153036038, + "loss": 2.0108, + "step": 826 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004772126984006892, + "loss": 2.1216, + "step": 827 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004761776793552682, + "loss": 2.0904, + "step": 828 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004751427626121132, + "loss": 2.0011, + "step": 829 + }, + { + "epoch": 0.53, + "learning_rate": 0.00047410795261555716, + "loss": 2.118, + "step": 830 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004730732538094749, + "loss": 2.0842, + "step": 831 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004720386706372636, + "loss": 2.0677, + "step": 832 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004710042075418236, + "loss": 2.0989, + "step": 833 + }, + { + "epoch": 0.53, + "learning_rate": 0.00046996986896554024, + "loss": 2.0864, + "step": 834 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004689356593502635, + "loss": 2.0603, + "step": 835 + }, + { + "epoch": 0.53, + "learning_rate": 0.0004679015831372898, + "loss": 2.074, + "step": 836 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004668676447673429, + "loss": 2.0325, + "step": 837 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004658338486805541, + "loss": 2.0772, + "step": 838 + }, + { + "epoch": 0.54, + "learning_rate": 0.00046480019931644374, + "loss": 2.0146, + "step": 839 + }, + { + "epoch": 0.54, + "learning_rate": 0.00046376670111390283, + "loss": 2.0714, + "step": 840 + }, + { + "epoch": 0.54, + "learning_rate": 0.00046273335851117263, + "loss": 2.0015, + "step": 841 + }, + { + "epoch": 0.54, + "learning_rate": 0.000461700175945826, + "loss": 2.0755, + "step": 842 + }, + { + "epoch": 0.54, + "learning_rate": 0.00046066715785474875, + "loss": 2.1154, + "step": 843 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004596343086741207, + "loss": 2.1053, + "step": 844 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004586016328393956, + "loss": 2.2043, + "step": 845 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004575691347852839, + "loss": 2.052, + "step": 846 + }, + { + "epoch": 0.54, + "learning_rate": 0.0004565368189457313, + "loss": 2.0104, + "step": 847 + }, + { + "epoch": 0.54, + "learning_rate": 0.00045550468975390186, + "loss": 2.0294, + "step": 848 + }, + { + "epoch": 0.54, + "learning_rate": 0.00045447275164215773, + "loss": 2.172, + "step": 849 + }, + { + "epoch": 0.54, + "learning_rate": 0.00045344100904204073, + "loss": 2.0919, + "step": 850 + }, + { + "epoch": 0.54, + "learning_rate": 0.00045240946638425275, + "loss": 2.1253, + "step": 851 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004513781280986375, + "loss": 2.097, + "step": 852 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004503469986141606, + "loss": 1.9504, + "step": 853 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004493160823588913, + "loss": 2.0434, + "step": 854 + }, + { + "epoch": 0.55, + "learning_rate": 0.00044828538375998303, + "loss": 2.0219, + "step": 855 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004472549072436544, + "loss": 2.0524, + "step": 856 + }, + { + "epoch": 0.55, + "learning_rate": 0.00044622465723517053, + "loss": 1.9099, + "step": 857 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004451946381588239, + "loss": 2.1645, + "step": 858 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004441648544379149, + "loss": 2.0799, + "step": 859 + }, + { + "epoch": 0.55, + "learning_rate": 0.00044313531049473354, + "loss": 2.0362, + "step": 860 + }, + { + "epoch": 0.55, + "learning_rate": 0.00044210601075054016, + "loss": 2.1315, + "step": 861 + }, + { + "epoch": 0.55, + "learning_rate": 0.00044107695962554595, + "loss": 2.0403, + "step": 862 + }, + { + "epoch": 0.55, + "learning_rate": 0.00044004816153889474, + "loss": 2.0709, + "step": 863 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004390196209086442, + "loss": 1.9408, + "step": 864 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004379913421517457, + "loss": 2.1104, + "step": 865 + }, + { + "epoch": 0.55, + "learning_rate": 0.0004369633296840262, + "loss": 2.0904, + "step": 866 + }, + { + "epoch": 0.55, + "learning_rate": 0.00043593558792016907, + "loss": 2.1467, + "step": 867 + }, + { + "epoch": 0.56, + "learning_rate": 0.00043490812127369537, + "loss": 1.9398, + "step": 868 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004338809341569444, + "loss": 2.0858, + "step": 869 + }, + { + "epoch": 0.56, + "learning_rate": 0.00043285403098105576, + "loss": 2.0431, + "step": 870 + }, + { + "epoch": 0.56, + "learning_rate": 0.00043182741615594865, + "loss": 2.1525, + "step": 871 + }, + { + "epoch": 0.56, + "learning_rate": 0.00043080109409030475, + "loss": 2.0767, + "step": 872 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004297750691915482, + "loss": 2.0539, + "step": 873 + }, + { + "epoch": 0.56, + "learning_rate": 0.00042874934586582716, + "loss": 2.0088, + "step": 874 + }, + { + "epoch": 0.56, + "learning_rate": 0.00042772392851799434, + "loss": 2.0845, + "step": 875 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004266988215515891, + "loss": 2.0948, + "step": 876 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004256740293688175, + "loss": 1.9981, + "step": 877 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004246495563705337, + "loss": 2.1624, + "step": 878 + }, + { + "epoch": 0.56, + "learning_rate": 0.00042362540695622134, + "loss": 2.0171, + "step": 879 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004226015855239745, + "loss": 2.0464, + "step": 880 + }, + { + "epoch": 0.56, + "learning_rate": 0.00042157809647047856, + "loss": 1.9871, + "step": 881 + }, + { + "epoch": 0.56, + "learning_rate": 0.0004205549441909919, + "loss": 2.0953, + "step": 882 + }, + { + "epoch": 0.56, + "learning_rate": 0.00041953213307932633, + "loss": 2.2027, + "step": 883 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004185096675278287, + "loss": 1.9868, + "step": 884 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004174875519273619, + "loss": 2.2277, + "step": 885 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004164657906672859, + "loss": 2.0673, + "step": 886 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004154443881354388, + "loss": 2.0855, + "step": 887 + }, + { + "epoch": 0.57, + "learning_rate": 0.00041442334871811886, + "loss": 2.0787, + "step": 888 + }, + { + "epoch": 0.57, + "learning_rate": 0.00041340267680006456, + "loss": 2.0319, + "step": 889 + }, + { + "epoch": 0.57, + "learning_rate": 0.00041238237676443593, + "loss": 2.0753, + "step": 890 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004113624529927963, + "loss": 2.1217, + "step": 891 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004103429098650932, + "loss": 1.9521, + "step": 892 + }, + { + "epoch": 0.57, + "learning_rate": 0.00040932375175963936, + "loss": 1.9819, + "step": 893 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004083049830530944, + "loss": 1.9791, + "step": 894 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004072866081204453, + "loss": 2.1413, + "step": 895 + }, + { + "epoch": 0.57, + "learning_rate": 0.00040626863133498835, + "loss": 2.0922, + "step": 896 + }, + { + "epoch": 0.57, + "learning_rate": 0.0004052510570683098, + "loss": 2.1612, + "step": 897 + }, + { + "epoch": 0.57, + "learning_rate": 0.00040423388969026747, + "loss": 2.0848, + "step": 898 + }, + { + "epoch": 0.58, + "learning_rate": 0.00040321713356897173, + "loss": 2.2011, + "step": 899 + }, + { + "epoch": 0.58, + "learning_rate": 0.000402200793070767, + "loss": 2.064, + "step": 900 + }, + { + "epoch": 0.58, + "learning_rate": 0.00040118487256021284, + "loss": 2.1055, + "step": 901 + }, + { + "epoch": 0.58, + "learning_rate": 0.0004001693764000651, + "loss": 2.0265, + "step": 902 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039915430895125735, + "loss": 2.17, + "step": 903 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003981396745728822, + "loss": 2.0551, + "step": 904 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003971254776221722, + "loss": 2.157, + "step": 905 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003961117224544819, + "loss": 2.1378, + "step": 906 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003950984134232683, + "loss": 2.0609, + "step": 907 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039408555488007257, + "loss": 1.9766, + "step": 908 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003930731511745015, + "loss": 2.0318, + "step": 909 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039206120665420826, + "loss": 2.2185, + "step": 910 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003910497256648742, + "loss": 2.2372, + "step": 911 + }, + { + "epoch": 0.58, + "learning_rate": 0.00039003871255019056, + "loss": 1.9921, + "step": 912 + }, + { + "epoch": 0.58, + "learning_rate": 0.00038902817165183904, + "loss": 2.1184, + "step": 913 + }, + { + "epoch": 0.58, + "learning_rate": 0.0003880181073094731, + "loss": 2.0634, + "step": 914 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003870085238607002, + "loss": 2.0882, + "step": 915 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003859994256410623, + "loss": 2.0986, + "step": 916 + }, + { + "epoch": 0.59, + "learning_rate": 0.00038499081698401786, + "loss": 1.994, + "step": 917 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003839827022209228, + "loss": 2.0288, + "step": 918 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003829750856810123, + "loss": 2.0549, + "step": 919 + }, + { + "epoch": 0.59, + "learning_rate": 0.00038196797169138164, + "loss": 2.0223, + "step": 920 + }, + { + "epoch": 0.59, + "learning_rate": 0.00038096136457696825, + "loss": 2.043, + "step": 921 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003799552686605326, + "loss": 2.1654, + "step": 922 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003789496882626399, + "loss": 1.9595, + "step": 923 + }, + { + "epoch": 0.59, + "learning_rate": 0.00037794462770164187, + "loss": 2.1133, + "step": 924 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003769400912936575, + "loss": 2.109, + "step": 925 + }, + { + "epoch": 0.59, + "learning_rate": 0.00037593608335255495, + "loss": 1.9783, + "step": 926 + }, + { + "epoch": 0.59, + "learning_rate": 0.0003749326081899329, + "loss": 2.1163, + "step": 927 + }, + { + "epoch": 0.59, + "learning_rate": 0.00037392967011510225, + "loss": 2.039, + "step": 928 + }, + { + "epoch": 0.59, + "learning_rate": 0.00037292727343506707, + "loss": 2.1645, + "step": 929 + }, + { + "epoch": 0.6, + "learning_rate": 0.00037192542245450687, + "loss": 2.1381, + "step": 930 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003709241214757576, + "loss": 1.9833, + "step": 931 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003699233747987932, + "loss": 2.0596, + "step": 932 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003689231867212074, + "loss": 2.1023, + "step": 933 + }, + { + "epoch": 0.6, + "learning_rate": 0.00036792356153819467, + "loss": 2.2186, + "step": 934 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003669245035425324, + "loss": 2.0252, + "step": 935 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003659260170245628, + "loss": 2.0106, + "step": 936 + }, + { + "epoch": 0.6, + "learning_rate": 0.00036492810627217334, + "loss": 2.0541, + "step": 937 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003639307755707788, + "loss": 2.0236, + "step": 938 + }, + { + "epoch": 0.6, + "learning_rate": 0.00036293402920330344, + "loss": 2.0874, + "step": 939 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003619378714501619, + "loss": 2.1146, + "step": 940 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003609423065892412, + "loss": 2.0, + "step": 941 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003599473388958823, + "loss": 2.0712, + "step": 942 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003589529726428615, + "loss": 2.0856, + "step": 943 + }, + { + "epoch": 0.6, + "learning_rate": 0.0003579592121003724, + "loss": 2.034, + "step": 944 + }, + { + "epoch": 0.6, + "learning_rate": 0.00035696606153600753, + "loss": 2.0107, + "step": 945 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003559735252147397, + "loss": 2.0399, + "step": 946 + }, + { + "epoch": 0.61, + "learning_rate": 0.000354981607398904, + "loss": 1.9285, + "step": 947 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003539903123481798, + "loss": 1.9658, + "step": 948 + }, + { + "epoch": 0.61, + "learning_rate": 0.00035299964431957144, + "loss": 2.0946, + "step": 949 + }, + { + "epoch": 0.61, + "learning_rate": 0.00035200960756739106, + "loss": 1.9822, + "step": 950 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003510202063432397, + "loss": 1.8863, + "step": 951 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003500314448959892, + "loss": 2.0551, + "step": 952 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003490433274717637, + "loss": 1.9943, + "step": 953 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034805585831392227, + "loss": 2.0048, + "step": 954 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003470690416630395, + "loss": 2.0481, + "step": 955 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034608288175688804, + "loss": 2.0627, + "step": 956 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034509738283042046, + "loss": 2.0432, + "step": 957 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003441125491157503, + "loss": 2.0715, + "step": 958 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003431283848421347, + "loss": 2.1223, + "step": 959 + }, + { + "epoch": 0.61, + "learning_rate": 0.0003421448942359564, + "loss": 2.0992, + "step": 960 + }, + { + "epoch": 0.61, + "learning_rate": 0.00034116208152070473, + "loss": 1.9942, + "step": 961 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003401799509169575, + "loss": 2.024, + "step": 962 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033919850664236394, + "loss": 2.0626, + "step": 963 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003382177529116257, + "loss": 2.1118, + "step": 964 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003372376939364787, + "loss": 2.0552, + "step": 965 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033625833392567577, + "loss": 1.9632, + "step": 966 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033527967708496786, + "loss": 2.0454, + "step": 967 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003343017276170862, + "loss": 2.1536, + "step": 968 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033332448972172435, + "loss": 2.2057, + "step": 969 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003323479675955202, + "loss": 2.0075, + "step": 970 + }, + { + "epoch": 0.62, + "learning_rate": 0.00033137216543203745, + "loss": 2.0614, + "step": 971 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003303970874217487, + "loss": 2.1614, + "step": 972 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003294227377520161, + "loss": 2.1203, + "step": 973 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003284491206070744, + "loss": 2.0786, + "step": 974 + }, + { + "epoch": 0.62, + "learning_rate": 0.0003274762401680124, + "loss": 2.0887, + "step": 975 + }, + { + "epoch": 0.62, + "learning_rate": 0.00032650410061275535, + "loss": 2.0989, + "step": 976 + }, + { + "epoch": 0.63, + "learning_rate": 0.00032553270611604667, + "loss": 2.1184, + "step": 977 + }, + { + "epoch": 0.63, + "learning_rate": 0.00032456206084943056, + "loss": 2.1357, + "step": 978 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003235921689812334, + "loss": 2.099, + "step": 979 + }, + { + "epoch": 0.63, + "learning_rate": 0.00032262303467654627, + "loss": 2.0439, + "step": 980 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003216546620972071, + "loss": 2.2389, + "step": 981 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003206870554017824, + "loss": 2.0241, + "step": 982 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003197202187455498, + "loss": 1.9409, + "step": 983 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031875415628048045, + "loss": 2.018, + "step": 984 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031778887215522044, + "loss": 2.0431, + "step": 985 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003168243705150733, + "loss": 2.0308, + "step": 986 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031586065550198256, + "loss": 2.0323, + "step": 987 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003148977312545134, + "loss": 2.0391, + "step": 988 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003139356019078352, + "loss": 2.0787, + "step": 989 + }, + { + "epoch": 0.63, + "learning_rate": 0.000312974271593704, + "loss": 2.0737, + "step": 990 + }, + { + "epoch": 0.63, + "learning_rate": 0.00031201374444044417, + "loss": 1.9624, + "step": 991 + }, + { + "epoch": 0.63, + "learning_rate": 0.0003110540245729312, + "loss": 2.1494, + "step": 992 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003100951161125735, + "loss": 1.9804, + "step": 993 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003091370231772954, + "loss": 2.1109, + "step": 994 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003081797498815185, + "loss": 2.0743, + "step": 995 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003072233003361452, + "loss": 2.1092, + "step": 996 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030626767864853986, + "loss": 2.1497, + "step": 997 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030531288892251206, + "loss": 2.0427, + "step": 998 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030435893525829845, + "loss": 2.0913, + "step": 999 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030340582175254516, + "loss": 1.9625, + "step": 1000 + }, + { + "epoch": 0.64, + "learning_rate": 0.00030245355249829055, + "loss": 2.0429, + "step": 1001 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003015021315849476, + "loss": 2.0236, + "step": 1002 + }, + { + "epoch": 0.64, + "learning_rate": 0.0003005515630982858, + "loss": 2.061, + "step": 1003 + }, + { + "epoch": 0.64, + "learning_rate": 0.00029960185112041425, + "loss": 2.0687, + "step": 1004 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002986529997297638, + "loss": 2.1061, + "step": 1005 + }, + { + "epoch": 0.64, + "learning_rate": 0.00029770501300106956, + "loss": 2.0088, + "step": 1006 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002967578950053533, + "loss": 1.9895, + "step": 1007 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002958116498099066, + "loss": 2.1139, + "step": 1008 + }, + { + "epoch": 0.65, + "learning_rate": 0.00029486628147827273, + "loss": 1.9323, + "step": 1009 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002939217940702288, + "loss": 2.0678, + "step": 1010 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002929781916417696, + "loss": 2.0156, + "step": 1011 + }, + { + "epoch": 0.65, + "learning_rate": 0.00029203547824508915, + "loss": 2.0424, + "step": 1012 + }, + { + "epoch": 0.65, + "learning_rate": 0.00029109365792856354, + "loss": 2.0264, + "step": 1013 + }, + { + "epoch": 0.65, + "learning_rate": 0.000290152734736734, + "loss": 2.2246, + "step": 1014 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002892127127102889, + "loss": 2.208, + "step": 1015 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002882735958860465, + "loss": 2.085, + "step": 1016 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028733538829693817, + "loss": 2.056, + "step": 1017 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028639809397199045, + "loss": 1.9826, + "step": 1018 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028546171693630745, + "loss": 2.0473, + "step": 1019 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028452626121105545, + "loss": 2.1385, + "step": 1020 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028359173081344305, + "loss": 2.0357, + "step": 1021 + }, + { + "epoch": 0.65, + "learning_rate": 0.00028265812975670525, + "loss": 2.0814, + "step": 1022 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002817254620500868, + "loss": 2.045, + "step": 1023 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002807937316988235, + "loss": 2.0983, + "step": 1024 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002798629427041262, + "loss": 2.0121, + "step": 1025 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002789330990631635, + "loss": 2.0904, + "step": 1026 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027800420476904335, + "loss": 2.0913, + "step": 1027 + }, + { + "epoch": 0.66, + "learning_rate": 0.000277076263810798, + "loss": 2.1313, + "step": 1028 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002761492801733645, + "loss": 2.0072, + "step": 1029 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027522325783756993, + "loss": 2.1575, + "step": 1030 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002742982007801121, + "loss": 2.2156, + "step": 1031 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027337411297354453, + "loss": 2.0812, + "step": 1032 + }, + { + "epoch": 0.66, + "learning_rate": 0.00027245099838625803, + "loss": 2.0107, + "step": 1033 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002715288609824635, + "loss": 2.1334, + "step": 1034 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002706077047221763, + "loss": 1.8868, + "step": 1035 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002696875335611977, + "loss": 2.0042, + "step": 1036 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002687683514510989, + "loss": 1.9757, + "step": 1037 + }, + { + "epoch": 0.66, + "learning_rate": 0.00026785016233920396, + "loss": 2.0251, + "step": 1038 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002669329701685719, + "loss": 2.0353, + "step": 1039 + }, + { + "epoch": 0.67, + "learning_rate": 0.00026601677887798126, + "loss": 2.1606, + "step": 1040 + }, + { + "epoch": 0.67, + "learning_rate": 0.000265101592401912, + "loss": 2.1006, + "step": 1041 + }, + { + "epoch": 0.67, + "learning_rate": 0.00026418741467052885, + "loss": 2.0603, + "step": 1042 + }, + { + "epoch": 0.67, + "learning_rate": 0.00026327424960966505, + "loss": 2.153, + "step": 1043 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002623621011408049, + "loss": 2.1767, + "step": 1044 + }, + { + "epoch": 0.67, + "learning_rate": 0.000261450973181067, + "loss": 1.99, + "step": 1045 + }, + { + "epoch": 0.67, + "learning_rate": 0.00026054086964318756, + "loss": 2.0899, + "step": 1046 + }, + { + "epoch": 0.67, + "learning_rate": 0.00025963179443550297, + "loss": 2.1129, + "step": 1047 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002587237514619347, + "loss": 2.1879, + "step": 1048 + }, + { + "epoch": 0.67, + "learning_rate": 0.00025781674462197027, + "loss": 2.099, + "step": 1049 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002569107778106483, + "loss": 2.1399, + "step": 1050 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002560058549185412, + "loss": 2.0716, + "step": 1051 + }, + { + "epoch": 0.67, + "learning_rate": 0.00025510197983173765, + "loss": 2.016, + "step": 1052 + }, + { + "epoch": 0.67, + "learning_rate": 0.00025419915643182765, + "loss": 2.0325, + "step": 1053 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002532973885958839, + "loss": 2.0582, + "step": 1054 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002523966801964468, + "loss": 2.0752, + "step": 1055 + }, + { + "epoch": 0.68, + "learning_rate": 0.00025149703510150704, + "loss": 2.1091, + "step": 1056 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002505984571744884, + "loss": 2.1413, + "step": 1057 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024970095027423284, + "loss": 1.8833, + "step": 1058 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002488045182549819, + "loss": 1.971, + "step": 1059 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002479091649663621, + "loss": 2.0568, + "step": 1060 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024701489425336666, + "loss": 1.9776, + "step": 1061 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002461217099563403, + "loss": 2.2035, + "step": 1062 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024522961591096244, + "loss": 2.0639, + "step": 1063 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002443386159482297, + "loss": 1.9484, + "step": 1064 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002434487138944413, + "loss": 2.1296, + "step": 1065 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024255991357118086, + "loss": 2.0624, + "step": 1066 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002416722187953006, + "loss": 2.1542, + "step": 1067 + }, + { + "epoch": 0.68, + "learning_rate": 0.00024078563337890635, + "loss": 2.1578, + "step": 1068 + }, + { + "epoch": 0.68, + "learning_rate": 0.00023990016112933866, + "loss": 2.1219, + "step": 1069 + }, + { + "epoch": 0.68, + "learning_rate": 0.00023901580584915783, + "loss": 2.0283, + "step": 1070 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023813257133612826, + "loss": 2.0599, + "step": 1071 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023725046138320033, + "loss": 2.0152, + "step": 1072 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023636947977849593, + "loss": 2.0702, + "step": 1073 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002354896303052912, + "loss": 2.0128, + "step": 1074 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023461091674199997, + "loss": 2.1287, + "step": 1075 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002337333428621588, + "loss": 2.0941, + "step": 1076 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023285691243440926, + "loss": 2.1369, + "step": 1077 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023198162922248323, + "loss": 1.9025, + "step": 1078 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002311074969851852, + "loss": 2.0787, + "step": 1079 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023023451947637758, + "loss": 2.0229, + "step": 1080 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022936270044496388, + "loss": 2.0799, + "step": 1081 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022849204363487214, + "loss": 2.016, + "step": 1082 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022762255278504007, + "loss": 1.9756, + "step": 1083 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022675423162939757, + "loss": 1.9795, + "step": 1084 + }, + { + "epoch": 0.69, + "learning_rate": 0.00022588708389685192, + "loss": 2.1467, + "step": 1085 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002250211133112714, + "loss": 1.9688, + "step": 1086 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022415632359146855, + "loss": 2.1594, + "step": 1087 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022329271845118541, + "loss": 2.0094, + "step": 1088 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022243030159907668, + "loss": 2.078, + "step": 1089 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022156907673869392, + "loss": 2.0417, + "step": 1090 + }, + { + "epoch": 0.7, + "learning_rate": 0.00022070904756847022, + "loss": 2.0016, + "step": 1091 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021985021778170373, + "loss": 1.8752, + "step": 1092 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002189925910665421, + "loss": 2.1363, + "step": 1093 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021813617110596646, + "loss": 2.0353, + "step": 1094 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021728096157777515, + "loss": 2.0782, + "step": 1095 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021642696615456952, + "loss": 1.9352, + "step": 1096 + }, + { + "epoch": 0.7, + "learning_rate": 0.000215574188503736, + "loss": 2.0556, + "step": 1097 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021472263228743206, + "loss": 2.051, + "step": 1098 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021387230116257, + "loss": 1.9908, + "step": 1099 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021302319878080034, + "loss": 1.9891, + "step": 1100 + }, + { + "epoch": 0.7, + "learning_rate": 0.00021217532878849789, + "loss": 1.9989, + "step": 1101 + }, + { + "epoch": 0.71, + "learning_rate": 0.00021132869482674404, + "loss": 2.0781, + "step": 1102 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002104833005313131, + "loss": 2.0379, + "step": 1103 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020963914953265545, + "loss": 2.0529, + "step": 1104 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020879624545588188, + "loss": 2.0158, + "step": 1105 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020795459192074923, + "loss": 2.1177, + "step": 1106 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002071141925416431, + "loss": 1.9829, + "step": 1107 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020627505092756415, + "loss": 2.002, + "step": 1108 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020543717068211093, + "loss": 2.0185, + "step": 1109 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002046005554034656, + "loss": 2.0862, + "step": 1110 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020376520868437836, + "loss": 2.1291, + "step": 1111 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020293113411215085, + "loss": 2.078, + "step": 1112 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020209833526862265, + "loss": 2.0553, + "step": 1113 + }, + { + "epoch": 0.71, + "learning_rate": 0.000201266815730154, + "loss": 2.0603, + "step": 1114 + }, + { + "epoch": 0.71, + "learning_rate": 0.00020043657906761142, + "loss": 1.9504, + "step": 1115 + }, + { + "epoch": 0.71, + "learning_rate": 0.0001996076288463532, + "loss": 1.9397, + "step": 1116 + }, + { + "epoch": 0.71, + "learning_rate": 0.00019877996862621206, + "loss": 2.1393, + "step": 1117 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019795360196148127, + "loss": 2.1321, + "step": 1118 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001971285324008994, + "loss": 2.1099, + "step": 1119 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001963047634876342, + "loss": 2.1581, + "step": 1120 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001954822987592685, + "loss": 2.0484, + "step": 1121 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019466114174778422, + "loss": 1.9932, + "step": 1122 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001938412959795472, + "loss": 2.0662, + "step": 1123 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001930227649752928, + "loss": 2.0545, + "step": 1124 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019220555225010966, + "loss": 2.0381, + "step": 1125 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001913896613134259, + "loss": 2.0394, + "step": 1126 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019057509566899268, + "loss": 2.1844, + "step": 1127 + }, + { + "epoch": 0.72, + "learning_rate": 0.00018976185881487028, + "loss": 2.0882, + "step": 1128 + }, + { + "epoch": 0.72, + "learning_rate": 0.00018894995424341283, + "loss": 2.1727, + "step": 1129 + }, + { + "epoch": 0.72, + "learning_rate": 0.00018813938544125236, + "loss": 2.0092, + "step": 1130 + }, + { + "epoch": 0.72, + "learning_rate": 0.00018733015588928549, + "loss": 1.9774, + "step": 1131 + }, + { + "epoch": 0.72, + "learning_rate": 0.00018652226906265695, + "loss": 1.9787, + "step": 1132 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001857157284307452, + "loss": 2.109, + "step": 1133 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018491053745714846, + "loss": 2.0125, + "step": 1134 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018410669959966803, + "loss": 2.0888, + "step": 1135 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018330421831029515, + "loss": 1.9985, + "step": 1136 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018250309703519497, + "loss": 2.1737, + "step": 1137 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018170333921469205, + "loss": 2.0432, + "step": 1138 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018090494828325632, + "loss": 1.8715, + "step": 1139 + }, + { + "epoch": 0.73, + "learning_rate": 0.0001801079276694874, + "loss": 2.0333, + "step": 1140 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017931228079610056, + "loss": 1.9958, + "step": 1141 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017851801107991128, + "loss": 2.1071, + "step": 1142 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017772512193182095, + "loss": 2.1363, + "step": 1143 + }, + { + "epoch": 0.73, + "learning_rate": 0.0001769336167568028, + "loss": 2.0867, + "step": 1144 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017614349895388615, + "loss": 2.0741, + "step": 1145 + }, + { + "epoch": 0.73, + "learning_rate": 0.0001753547719161428, + "loss": 2.0356, + "step": 1146 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017456743903067218, + "loss": 2.0378, + "step": 1147 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017378150367858608, + "loss": 2.0892, + "step": 1148 + }, + { + "epoch": 0.74, + "learning_rate": 0.00017299696923499543, + "loss": 2.144, + "step": 1149 + }, + { + "epoch": 0.74, + "learning_rate": 0.00017221383906899451, + "loss": 2.0567, + "step": 1150 + }, + { + "epoch": 0.74, + "learning_rate": 0.0001714321165436476, + "loss": 2.0739, + "step": 1151 + }, + { + "epoch": 0.74, + "learning_rate": 0.00017065180501597387, + "loss": 1.9071, + "step": 1152 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016987290783693283, + "loss": 1.9898, + "step": 1153 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016909542835141073, + "loss": 2.1216, + "step": 1154 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016831936989820506, + "loss": 2.147, + "step": 1155 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016754473581001168, + "loss": 2.0879, + "step": 1156 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016677152941340872, + "loss": 1.9584, + "step": 1157 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016599975402884404, + "loss": 2.1087, + "step": 1158 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016522941297061994, + "loss": 2.0596, + "step": 1159 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016446050954687885, + "loss": 2.1234, + "step": 1160 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016369304705959, + "loss": 2.0916, + "step": 1161 + }, + { + "epoch": 0.74, + "learning_rate": 0.0001629270288045342, + "loss": 2.1231, + "step": 1162 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016216245807129003, + "loss": 1.9881, + "step": 1163 + }, + { + "epoch": 0.74, + "learning_rate": 0.00016139933814322084, + "loss": 2.0208, + "step": 1164 + }, + { + "epoch": 0.75, + "learning_rate": 0.00016063767229745858, + "loss": 2.0831, + "step": 1165 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015987746380489114, + "loss": 1.9929, + "step": 1166 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015911871593014837, + "loss": 2.1134, + "step": 1167 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015836143193158697, + "loss": 2.0022, + "step": 1168 + }, + { + "epoch": 0.75, + "learning_rate": 0.0001576056150612778, + "loss": 2.0163, + "step": 1169 + }, + { + "epoch": 0.75, + "learning_rate": 0.0001568512685649911, + "loss": 2.0716, + "step": 1170 + }, + { + "epoch": 0.75, + "learning_rate": 0.0001560983956821825, + "loss": 2.1022, + "step": 1171 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015534699964597982, + "loss": 2.0575, + "step": 1172 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015459708368316822, + "loss": 2.1312, + "step": 1173 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015384865101417743, + "loss": 2.0264, + "step": 1174 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015310170485306672, + "loss": 2.117, + "step": 1175 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015235624840751223, + "loss": 2.2048, + "step": 1176 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015161228487879254, + "loss": 2.0683, + "step": 1177 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015086981746177474, + "loss": 2.1411, + "step": 1178 + }, + { + "epoch": 0.75, + "learning_rate": 0.00015012884934490167, + "loss": 2.1484, + "step": 1179 + }, + { + "epoch": 0.75, + "learning_rate": 0.00014938938371017706, + "loss": 2.0971, + "step": 1180 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014865142373315227, + "loss": 2.1303, + "step": 1181 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001479149725829137, + "loss": 2.0389, + "step": 1182 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001471800334220672, + "loss": 2.0711, + "step": 1183 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014644660940672628, + "loss": 2.0522, + "step": 1184 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001457147036864974, + "loss": 2.0749, + "step": 1185 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014498431940446693, + "loss": 2.1095, + "step": 1186 + }, + { + "epoch": 0.76, + "learning_rate": 0.000144255459697188, + "loss": 2.0136, + "step": 1187 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014352812769466577, + "loss": 2.0678, + "step": 1188 + }, + { + "epoch": 0.76, + "learning_rate": 0.00014280232652034609, + "loss": 2.0472, + "step": 1189 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001420780592910998, + "loss": 2.0866, + "step": 1190 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001413553291172106, + "loss": 1.975, + "step": 1191 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001406341391023619, + "loss": 1.996, + "step": 1192 + }, + { + "epoch": 0.76, + "learning_rate": 0.00013991449234362246, + "loss": 1.978, + "step": 1193 + }, + { + "epoch": 0.76, + "learning_rate": 0.00013919639193143418, + "loss": 2.1107, + "step": 1194 + }, + { + "epoch": 0.76, + "learning_rate": 0.00013847984094959842, + "loss": 2.0115, + "step": 1195 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013776484247526204, + "loss": 1.9402, + "step": 1196 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013705139957890562, + "loss": 2.0726, + "step": 1197 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001363395153243288, + "loss": 2.0066, + "step": 1198 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013562919276863844, + "loss": 2.0812, + "step": 1199 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013492043496223416, + "loss": 1.9382, + "step": 1200 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013421324494879662, + "loss": 2.0392, + "step": 1201 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013350762576527347, + "loss": 2.0958, + "step": 1202 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013280358044186647, + "loss": 2.0135, + "step": 1203 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001321011120020189, + "loss": 1.9997, + "step": 1204 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013140022346240217, + "loss": 2.1455, + "step": 1205 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001307009178329025, + "loss": 2.0862, + "step": 1206 + }, + { + "epoch": 0.77, + "learning_rate": 0.00013000319811660966, + "loss": 2.024, + "step": 1207 + }, + { + "epoch": 0.77, + "learning_rate": 0.00012930706730980186, + "loss": 1.9954, + "step": 1208 + }, + { + "epoch": 0.77, + "learning_rate": 0.00012861252840193406, + "loss": 2.0401, + "step": 1209 + }, + { + "epoch": 0.77, + "learning_rate": 0.00012791958437562552, + "loss": 2.0393, + "step": 1210 + }, + { + "epoch": 0.77, + "learning_rate": 0.00012722823820664574, + "loss": 2.0206, + "step": 1211 + }, + { + "epoch": 0.78, + "learning_rate": 0.000126538492863903, + "loss": 2.0376, + "step": 1212 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012585035130943095, + "loss": 2.1911, + "step": 1213 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012516381649837544, + "loss": 2.0106, + "step": 1214 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012447889137898294, + "loss": 2.0499, + "step": 1215 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012379557889258686, + "loss": 2.0506, + "step": 1216 + }, + { + "epoch": 0.78, + "learning_rate": 0.0001231138819735957, + "loss": 2.1426, + "step": 1217 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012243380354947964, + "loss": 2.1219, + "step": 1218 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012175534654075887, + "loss": 1.954, + "step": 1219 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012107851386099044, + "loss": 2.1988, + "step": 1220 + }, + { + "epoch": 0.78, + "learning_rate": 0.00012040330841675574, + "loss": 1.9507, + "step": 1221 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011972973310764846, + "loss": 1.9815, + "step": 1222 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011905779082626139, + "loss": 1.9717, + "step": 1223 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011838748445817505, + "loss": 1.9872, + "step": 1224 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011771881688194452, + "loss": 2.0511, + "step": 1225 + }, + { + "epoch": 0.78, + "learning_rate": 0.00011705179096908691, + "loss": 2.0517, + "step": 1226 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011638640958406998, + "loss": 2.0622, + "step": 1227 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011572267558429878, + "loss": 2.1418, + "step": 1228 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011506059182010392, + "loss": 2.0083, + "step": 1229 + }, + { + "epoch": 0.79, + "learning_rate": 0.0001144001611347295, + "loss": 2.0656, + "step": 1230 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011374138636432052, + "loss": 2.0848, + "step": 1231 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011308427033791097, + "loss": 1.8887, + "step": 1232 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011242881587741127, + "loss": 2.0152, + "step": 1233 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011177502579759646, + "loss": 2.01, + "step": 1234 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011112290290609445, + "loss": 2.0655, + "step": 1235 + }, + { + "epoch": 0.79, + "learning_rate": 0.00011047245000337302, + "loss": 1.9779, + "step": 1236 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010982366988272924, + "loss": 2.021, + "step": 1237 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010917656533027576, + "loss": 2.0764, + "step": 1238 + }, + { + "epoch": 0.79, + "learning_rate": 0.0001085311391249299, + "loss": 2.0037, + "step": 1239 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010788739403840192, + "loss": 2.0077, + "step": 1240 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010724533283518206, + "loss": 2.0069, + "step": 1241 + }, + { + "epoch": 0.79, + "learning_rate": 0.00010660495827252986, + "loss": 2.0557, + "step": 1242 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010596627310046165, + "loss": 2.0399, + "step": 1243 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010532928006173852, + "loss": 2.0151, + "step": 1244 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010469398189185542, + "loss": 2.1227, + "step": 1245 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010406038131902834, + "loss": 1.9816, + "step": 1246 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010342848106418367, + "loss": 1.9101, + "step": 1247 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010279828384094542, + "loss": 2.1743, + "step": 1248 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010216979235562452, + "loss": 2.163, + "step": 1249 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010154300930720683, + "loss": 1.9514, + "step": 1250 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010091793738734111, + "loss": 1.9639, + "step": 1251 + }, + { + "epoch": 0.8, + "learning_rate": 0.00010029457928032843, + "loss": 2.1185, + "step": 1252 + }, + { + "epoch": 0.8, + "learning_rate": 9.967293766310958e-05, + "loss": 2.0083, + "step": 1253 + }, + { + "epoch": 0.8, + "learning_rate": 9.905301520525412e-05, + "loss": 2.0035, + "step": 1254 + }, + { + "epoch": 0.8, + "learning_rate": 9.843481456894948e-05, + "loss": 2.0419, + "step": 1255 + }, + { + "epoch": 0.8, + "learning_rate": 9.78183384089883e-05, + "loss": 1.9924, + "step": 1256 + }, + { + "epoch": 0.8, + "learning_rate": 9.720358937275764e-05, + "loss": 1.9788, + "step": 1257 + }, + { + "epoch": 0.8, + "learning_rate": 9.659057010022809e-05, + "loss": 2.0713, + "step": 1258 + }, + { + "epoch": 0.81, + "learning_rate": 9.59792832239415e-05, + "loss": 2.1188, + "step": 1259 + }, + { + "epoch": 0.81, + "learning_rate": 9.536973136900034e-05, + "loss": 2.1621, + "step": 1260 + }, + { + "epoch": 0.81, + "learning_rate": 9.476191715305649e-05, + "loss": 2.0539, + "step": 1261 + }, + { + "epoch": 0.81, + "learning_rate": 9.415584318629911e-05, + "loss": 2.049, + "step": 1262 + }, + { + "epoch": 0.81, + "learning_rate": 9.35515120714447e-05, + "loss": 2.0543, + "step": 1263 + }, + { + "epoch": 0.81, + "learning_rate": 9.29489264037247e-05, + "loss": 2.0494, + "step": 1264 + }, + { + "epoch": 0.81, + "learning_rate": 9.234808877087553e-05, + "loss": 2.019, + "step": 1265 + }, + { + "epoch": 0.81, + "learning_rate": 9.174900175312628e-05, + "loss": 2.1056, + "step": 1266 + }, + { + "epoch": 0.81, + "learning_rate": 9.115166792318858e-05, + "loss": 2.0569, + "step": 1267 + }, + { + "epoch": 0.81, + "learning_rate": 9.05560898462453e-05, + "loss": 2.1397, + "step": 1268 + }, + { + "epoch": 0.81, + "learning_rate": 8.996227007993895e-05, + "loss": 2.1158, + "step": 1269 + }, + { + "epoch": 0.81, + "learning_rate": 8.937021117436178e-05, + "loss": 1.91, + "step": 1270 + }, + { + "epoch": 0.81, + "learning_rate": 8.877991567204352e-05, + "loss": 1.9289, + "step": 1271 + }, + { + "epoch": 0.81, + "learning_rate": 8.819138610794176e-05, + "loss": 1.9655, + "step": 1272 + }, + { + "epoch": 0.81, + "learning_rate": 8.76046250094304e-05, + "loss": 2.0962, + "step": 1273 + }, + { + "epoch": 0.82, + "learning_rate": 8.701963489628839e-05, + "loss": 2.0683, + "step": 1274 + }, + { + "epoch": 0.82, + "learning_rate": 8.643641828069004e-05, + "loss": 1.9939, + "step": 1275 + }, + { + "epoch": 0.82, + "learning_rate": 8.585497766719313e-05, + "loss": 1.9661, + "step": 1276 + }, + { + "epoch": 0.82, + "learning_rate": 8.527531555272849e-05, + "loss": 2.1734, + "step": 1277 + }, + { + "epoch": 0.82, + "learning_rate": 8.469743442658984e-05, + "loss": 2.0604, + "step": 1278 + }, + { + "epoch": 0.82, + "learning_rate": 8.412133677042238e-05, + "loss": 2.0125, + "step": 1279 + }, + { + "epoch": 0.82, + "learning_rate": 8.35470250582126e-05, + "loss": 2.1259, + "step": 1280 + }, + { + "epoch": 0.82, + "learning_rate": 8.297450175627713e-05, + "loss": 2.0728, + "step": 1281 + }, + { + "epoch": 0.82, + "learning_rate": 8.24037693232525e-05, + "loss": 2.0009, + "step": 1282 + }, + { + "epoch": 0.82, + "learning_rate": 8.183483021008498e-05, + "loss": 1.9845, + "step": 1283 + }, + { + "epoch": 0.82, + "learning_rate": 8.126768686001912e-05, + "loss": 2.0634, + "step": 1284 + }, + { + "epoch": 0.82, + "learning_rate": 8.070234170858803e-05, + "loss": 2.117, + "step": 1285 + }, + { + "epoch": 0.82, + "learning_rate": 8.013879718360285e-05, + "loss": 2.1212, + "step": 1286 + }, + { + "epoch": 0.82, + "learning_rate": 7.957705570514162e-05, + "loss": 1.9513, + "step": 1287 + }, + { + "epoch": 0.82, + "learning_rate": 7.901711968553987e-05, + "loss": 2.1499, + "step": 1288 + }, + { + "epoch": 0.82, + "learning_rate": 7.845899152937946e-05, + "loss": 2.1485, + "step": 1289 + }, + { + "epoch": 0.83, + "learning_rate": 7.79026736334788e-05, + "loss": 1.9962, + "step": 1290 + }, + { + "epoch": 0.83, + "learning_rate": 7.734816838688247e-05, + "loss": 2.0017, + "step": 1291 + }, + { + "epoch": 0.83, + "learning_rate": 7.679547817085026e-05, + "loss": 2.0559, + "step": 1292 + }, + { + "epoch": 0.83, + "learning_rate": 7.62446053588482e-05, + "loss": 1.9789, + "step": 1293 + }, + { + "epoch": 0.83, + "learning_rate": 7.569555231653719e-05, + "loss": 2.0361, + "step": 1294 + }, + { + "epoch": 0.83, + "learning_rate": 7.51483214017637e-05, + "loss": 2.0423, + "step": 1295 + }, + { + "epoch": 0.83, + "learning_rate": 7.460291496454886e-05, + "loss": 1.9793, + "step": 1296 + }, + { + "epoch": 0.83, + "learning_rate": 7.405933534707914e-05, + "loss": 2.0369, + "step": 1297 + }, + { + "epoch": 0.83, + "learning_rate": 7.351758488369598e-05, + "loss": 1.9934, + "step": 1298 + }, + { + "epoch": 0.83, + "learning_rate": 7.297766590088528e-05, + "loss": 1.9649, + "step": 1299 + }, + { + "epoch": 0.83, + "learning_rate": 7.243958071726841e-05, + "loss": 1.9614, + "step": 1300 + }, + { + "epoch": 0.83, + "learning_rate": 7.190333164359137e-05, + "loss": 1.9227, + "step": 1301 + }, + { + "epoch": 0.83, + "learning_rate": 7.136892098271491e-05, + "loss": 2.0098, + "step": 1302 + }, + { + "epoch": 0.83, + "learning_rate": 7.083635102960584e-05, + "loss": 2.1107, + "step": 1303 + }, + { + "epoch": 0.83, + "learning_rate": 7.030562407132535e-05, + "loss": 1.9936, + "step": 1304 + }, + { + "epoch": 0.83, + "learning_rate": 6.977674238702037e-05, + "loss": 2.1293, + "step": 1305 + }, + { + "epoch": 0.84, + "learning_rate": 6.924970824791382e-05, + "loss": 1.8941, + "step": 1306 + }, + { + "epoch": 0.84, + "learning_rate": 6.8724523917294e-05, + "loss": 2.0207, + "step": 1307 + }, + { + "epoch": 0.84, + "learning_rate": 6.820119165050592e-05, + "loss": 2.0245, + "step": 1308 + }, + { + "epoch": 0.84, + "learning_rate": 6.767971369494097e-05, + "loss": 2.1325, + "step": 1309 + }, + { + "epoch": 0.84, + "learning_rate": 6.716009229002706e-05, + "loss": 2.0091, + "step": 1310 + }, + { + "epoch": 0.84, + "learning_rate": 6.664232966721994e-05, + "loss": 2.0626, + "step": 1311 + }, + { + "epoch": 0.84, + "learning_rate": 6.612642804999253e-05, + "loss": 2.0543, + "step": 1312 + }, + { + "epoch": 0.84, + "learning_rate": 6.561238965382621e-05, + "loss": 2.0264, + "step": 1313 + }, + { + "epoch": 0.84, + "learning_rate": 6.510021668620058e-05, + "loss": 1.9749, + "step": 1314 + }, + { + "epoch": 0.84, + "learning_rate": 6.458991134658487e-05, + "loss": 2.0976, + "step": 1315 + }, + { + "epoch": 0.84, + "learning_rate": 6.408147582642771e-05, + "loss": 1.9672, + "step": 1316 + }, + { + "epoch": 0.84, + "learning_rate": 6.357491230914786e-05, + "loss": 2.1487, + "step": 1317 + }, + { + "epoch": 0.84, + "learning_rate": 6.307022297012539e-05, + "loss": 2.1202, + "step": 1318 + }, + { + "epoch": 0.84, + "learning_rate": 6.256740997669142e-05, + "loss": 1.99, + "step": 1319 + }, + { + "epoch": 0.84, + "learning_rate": 6.20664754881196e-05, + "loss": 2.1795, + "step": 1320 + }, + { + "epoch": 0.85, + "learning_rate": 6.156742165561685e-05, + "loss": 1.9783, + "step": 1321 + }, + { + "epoch": 0.85, + "learning_rate": 6.107025062231309e-05, + "loss": 2.0304, + "step": 1322 + }, + { + "epoch": 0.85, + "learning_rate": 6.057496452325345e-05, + "loss": 1.9992, + "step": 1323 + }, + { + "epoch": 0.85, + "learning_rate": 6.0081565485388065e-05, + "loss": 2.1068, + "step": 1324 + }, + { + "epoch": 0.85, + "learning_rate": 5.9590055627563256e-05, + "loss": 2.0077, + "step": 1325 + }, + { + "epoch": 0.85, + "learning_rate": 5.910043706051277e-05, + "loss": 1.9689, + "step": 1326 + }, + { + "epoch": 0.85, + "learning_rate": 5.861271188684819e-05, + "loss": 2.0364, + "step": 1327 + }, + { + "epoch": 0.85, + "learning_rate": 5.8126882201050336e-05, + "loss": 2.106, + "step": 1328 + }, + { + "epoch": 0.85, + "learning_rate": 5.76429500894598e-05, + "loss": 2.0746, + "step": 1329 + }, + { + "epoch": 0.85, + "learning_rate": 5.7160917630268315e-05, + "loss": 2.0777, + "step": 1330 + }, + { + "epoch": 0.85, + "learning_rate": 5.668078689351008e-05, + "loss": 2.0527, + "step": 1331 + }, + { + "epoch": 0.85, + "learning_rate": 5.6202559941052e-05, + "loss": 2.0564, + "step": 1332 + }, + { + "epoch": 0.85, + "learning_rate": 5.572623882658595e-05, + "loss": 1.9755, + "step": 1333 + }, + { + "epoch": 0.85, + "learning_rate": 5.525182559561926e-05, + "loss": 2.1418, + "step": 1334 + }, + { + "epoch": 0.85, + "learning_rate": 5.477932228546573e-05, + "loss": 2.002, + "step": 1335 + }, + { + "epoch": 0.85, + "learning_rate": 5.4308730925237635e-05, + "loss": 2.0443, + "step": 1336 + }, + { + "epoch": 0.86, + "learning_rate": 5.384005353583632e-05, + "loss": 2.0262, + "step": 1337 + }, + { + "epoch": 0.86, + "learning_rate": 5.337329212994396e-05, + "loss": 2.0728, + "step": 1338 + }, + { + "epoch": 0.86, + "learning_rate": 5.290844871201483e-05, + "loss": 2.0627, + "step": 1339 + }, + { + "epoch": 0.86, + "learning_rate": 5.244552527826624e-05, + "loss": 2.0657, + "step": 1340 + }, + { + "epoch": 0.86, + "learning_rate": 5.19845238166709e-05, + "loss": 2.0977, + "step": 1341 + }, + { + "epoch": 0.86, + "learning_rate": 5.152544630694722e-05, + "loss": 2.0809, + "step": 1342 + }, + { + "epoch": 0.86, + "learning_rate": 5.106829472055202e-05, + "loss": 2.061, + "step": 1343 + }, + { + "epoch": 0.86, + "learning_rate": 5.061307102067092e-05, + "loss": 2.0563, + "step": 1344 + }, + { + "epoch": 0.86, + "learning_rate": 5.0159777162210764e-05, + "loss": 2.0787, + "step": 1345 + }, + { + "epoch": 0.86, + "learning_rate": 4.9708415091791024e-05, + "loss": 2.0334, + "step": 1346 + }, + { + "epoch": 0.86, + "learning_rate": 4.925898674773488e-05, + "loss": 2.1453, + "step": 1347 + }, + { + "epoch": 0.86, + "learning_rate": 4.88114940600618e-05, + "loss": 2.0326, + "step": 1348 + }, + { + "epoch": 0.86, + "learning_rate": 4.836593895047853e-05, + "loss": 2.0689, + "step": 1349 + }, + { + "epoch": 0.86, + "learning_rate": 4.7922323332370954e-05, + "loss": 1.9353, + "step": 1350 + }, + { + "epoch": 0.86, + "learning_rate": 4.7480649110796695e-05, + "loss": 2.0438, + "step": 1351 + }, + { + "epoch": 0.87, + "learning_rate": 4.704091818247558e-05, + "loss": 2.061, + "step": 1352 + }, + { + "epoch": 0.87, + "learning_rate": 4.660313243578229e-05, + "loss": 1.9906, + "step": 1353 + }, + { + "epoch": 0.87, + "learning_rate": 4.6167293750738584e-05, + "loss": 2.0689, + "step": 1354 + }, + { + "epoch": 0.87, + "learning_rate": 4.573340399900416e-05, + "loss": 2.002, + "step": 1355 + }, + { + "epoch": 0.87, + "learning_rate": 4.5301465043869785e-05, + "loss": 1.9093, + "step": 1356 + }, + { + "epoch": 0.87, + "learning_rate": 4.487147874024855e-05, + "loss": 2.0036, + "step": 1357 + }, + { + "epoch": 0.87, + "learning_rate": 4.4443446934667845e-05, + "loss": 2.1165, + "step": 1358 + }, + { + "epoch": 0.87, + "learning_rate": 4.401737146526219e-05, + "loss": 2.0492, + "step": 1359 + }, + { + "epoch": 0.87, + "learning_rate": 4.35932541617644e-05, + "loss": 2.0545, + "step": 1360 + }, + { + "epoch": 0.87, + "learning_rate": 4.317109684549847e-05, + "loss": 2.0776, + "step": 1361 + }, + { + "epoch": 0.87, + "learning_rate": 4.275090132937115e-05, + "loss": 2.1115, + "step": 1362 + }, + { + "epoch": 0.87, + "learning_rate": 4.2332669417864735e-05, + "loss": 2.1846, + "step": 1363 + }, + { + "epoch": 0.87, + "learning_rate": 4.1916402907029026e-05, + "loss": 2.0127, + "step": 1364 + }, + { + "epoch": 0.87, + "learning_rate": 4.150210358447343e-05, + "loss": 1.8958, + "step": 1365 + }, + { + "epoch": 0.87, + "learning_rate": 4.10897732293597e-05, + "loss": 2.0652, + "step": 1366 + }, + { + "epoch": 0.87, + "learning_rate": 4.0679413612393855e-05, + "loss": 1.9985, + "step": 1367 + }, + { + "epoch": 0.88, + "learning_rate": 4.027102649581899e-05, + "loss": 1.9486, + "step": 1368 + }, + { + "epoch": 0.88, + "learning_rate": 3.9864613633407545e-05, + "loss": 2.0108, + "step": 1369 + }, + { + "epoch": 0.88, + "learning_rate": 3.9460176770453545e-05, + "loss": 1.9678, + "step": 1370 + }, + { + "epoch": 0.88, + "learning_rate": 3.9057717643765535e-05, + "loss": 2.0813, + "step": 1371 + }, + { + "epoch": 0.88, + "learning_rate": 3.8657237981658766e-05, + "loss": 2.0249, + "step": 1372 + }, + { + "epoch": 0.88, + "learning_rate": 3.825873950394776e-05, + "loss": 2.0555, + "step": 1373 + }, + { + "epoch": 0.88, + "learning_rate": 3.7862223921939385e-05, + "loss": 2.064, + "step": 1374 + }, + { + "epoch": 0.88, + "learning_rate": 3.7467692938425056e-05, + "loss": 2.1184, + "step": 1375 + }, + { + "epoch": 0.88, + "learning_rate": 3.7075148247673496e-05, + "loss": 2.0194, + "step": 1376 + }, + { + "epoch": 0.88, + "learning_rate": 3.6684591535423586e-05, + "loss": 2.0099, + "step": 1377 + }, + { + "epoch": 0.88, + "learning_rate": 3.6296024478876865e-05, + "loss": 2.1091, + "step": 1378 + }, + { + "epoch": 0.88, + "learning_rate": 3.590944874669089e-05, + "loss": 2.0349, + "step": 1379 + }, + { + "epoch": 0.88, + "learning_rate": 3.552486599897126e-05, + "loss": 2.0592, + "step": 1380 + }, + { + "epoch": 0.88, + "learning_rate": 3.5142277887265373e-05, + "loss": 2.1006, + "step": 1381 + }, + { + "epoch": 0.88, + "learning_rate": 3.47616860545546e-05, + "loss": 1.9213, + "step": 1382 + }, + { + "epoch": 0.88, + "learning_rate": 3.438309213524754e-05, + "loss": 2.0228, + "step": 1383 + }, + { + "epoch": 0.89, + "learning_rate": 3.400649775517312e-05, + "loss": 2.1505, + "step": 1384 + }, + { + "epoch": 0.89, + "learning_rate": 3.3631904531573276e-05, + "loss": 2.0152, + "step": 1385 + }, + { + "epoch": 0.89, + "learning_rate": 3.325931407309635e-05, + "loss": 2.0249, + "step": 1386 + }, + { + "epoch": 0.89, + "learning_rate": 3.288872797979009e-05, + "loss": 2.0274, + "step": 1387 + }, + { + "epoch": 0.89, + "learning_rate": 3.252014784309443e-05, + "loss": 1.9768, + "step": 1388 + }, + { + "epoch": 0.89, + "learning_rate": 3.215357524583534e-05, + "loss": 1.9595, + "step": 1389 + }, + { + "epoch": 0.89, + "learning_rate": 3.178901176221727e-05, + "loss": 2.07, + "step": 1390 + }, + { + "epoch": 0.89, + "learning_rate": 3.142645895781715e-05, + "loss": 2.1422, + "step": 1391 + }, + { + "epoch": 0.89, + "learning_rate": 3.1065918389576784e-05, + "loss": 1.9993, + "step": 1392 + }, + { + "epoch": 0.89, + "learning_rate": 3.070739160579711e-05, + "loss": 1.9802, + "step": 1393 + }, + { + "epoch": 0.89, + "learning_rate": 3.0350880146130967e-05, + "loss": 2.0366, + "step": 1394 + }, + { + "epoch": 0.89, + "learning_rate": 2.9996385541576355e-05, + "loss": 2.0166, + "step": 1395 + }, + { + "epoch": 0.89, + "learning_rate": 2.964390931447053e-05, + "loss": 1.936, + "step": 1396 + }, + { + "epoch": 0.89, + "learning_rate": 2.9293452978482793e-05, + "loss": 1.9417, + "step": 1397 + }, + { + "epoch": 0.89, + "learning_rate": 2.8945018038608105e-05, + "loss": 1.9738, + "step": 1398 + }, + { + "epoch": 0.9, + "learning_rate": 2.8598605991161263e-05, + "loss": 1.9199, + "step": 1399 + }, + { + "epoch": 0.9, + "learning_rate": 2.825421832376962e-05, + "loss": 2.0702, + "step": 1400 + }, + { + "epoch": 0.9, + "learning_rate": 2.791185651536693e-05, + "loss": 2.0496, + "step": 1401 + }, + { + "epoch": 0.9, + "learning_rate": 2.7571522036187513e-05, + "loss": 2.0071, + "step": 1402 + }, + { + "epoch": 0.9, + "learning_rate": 2.7233216347759272e-05, + "loss": 2.0777, + "step": 1403 + }, + { + "epoch": 0.9, + "learning_rate": 2.689694090289779e-05, + "loss": 2.0003, + "step": 1404 + }, + { + "epoch": 0.9, + "learning_rate": 2.6562697145700086e-05, + "loss": 2.0075, + "step": 1405 + }, + { + "epoch": 0.9, + "learning_rate": 2.6230486511538143e-05, + "loss": 2.1925, + "step": 1406 + }, + { + "epoch": 0.9, + "learning_rate": 2.5900310427053044e-05, + "loss": 1.9654, + "step": 1407 + }, + { + "epoch": 0.9, + "learning_rate": 2.5572170310148635e-05, + "loss": 2.0415, + "step": 1408 + }, + { + "epoch": 0.9, + "learning_rate": 2.5246067569985707e-05, + "loss": 2.093, + "step": 1409 + }, + { + "epoch": 0.9, + "learning_rate": 2.4922003606975497e-05, + "loss": 1.9399, + "step": 1410 + }, + { + "epoch": 0.9, + "learning_rate": 2.4599979812774233e-05, + "loss": 2.0331, + "step": 1411 + }, + { + "epoch": 0.9, + "learning_rate": 2.427999757027677e-05, + "loss": 2.0575, + "step": 1412 + }, + { + "epoch": 0.9, + "learning_rate": 2.3962058253610586e-05, + "loss": 2.1091, + "step": 1413 + }, + { + "epoch": 0.9, + "learning_rate": 2.3646163228130292e-05, + "loss": 2.1252, + "step": 1414 + }, + { + "epoch": 0.91, + "learning_rate": 2.3332313850411236e-05, + "loss": 1.9467, + "step": 1415 + }, + { + "epoch": 0.91, + "learning_rate": 2.3020511468244297e-05, + "loss": 2.0912, + "step": 1416 + }, + { + "epoch": 0.91, + "learning_rate": 2.2710757420629557e-05, + "loss": 2.1514, + "step": 1417 + }, + { + "epoch": 0.91, + "learning_rate": 2.2403053037770738e-05, + "loss": 2.0652, + "step": 1418 + }, + { + "epoch": 0.91, + "learning_rate": 2.209739964106966e-05, + "loss": 2.0069, + "step": 1419 + }, + { + "epoch": 0.91, + "learning_rate": 2.1793798543120303e-05, + "loss": 2.014, + "step": 1420 + }, + { + "epoch": 0.91, + "learning_rate": 2.1492251047703137e-05, + "loss": 2.0119, + "step": 1421 + }, + { + "epoch": 0.91, + "learning_rate": 2.119275844977997e-05, + "loss": 1.9937, + "step": 1422 + }, + { + "epoch": 0.91, + "learning_rate": 2.089532203548794e-05, + "loss": 1.9342, + "step": 1423 + }, + { + "epoch": 0.91, + "learning_rate": 2.05999430821342e-05, + "loss": 2.0152, + "step": 1424 + }, + { + "epoch": 0.91, + "learning_rate": 2.0306622858190238e-05, + "loss": 2.0578, + "step": 1425 + }, + { + "epoch": 0.91, + "learning_rate": 2.0015362623286515e-05, + "loss": 2.0387, + "step": 1426 + }, + { + "epoch": 0.91, + "learning_rate": 1.972616362820745e-05, + "loss": 2.0085, + "step": 1427 + }, + { + "epoch": 0.91, + "learning_rate": 1.943902711488532e-05, + "loss": 2.0803, + "step": 1428 + }, + { + "epoch": 0.91, + "learning_rate": 1.915395431639544e-05, + "loss": 2.0791, + "step": 1429 + }, + { + "epoch": 0.91, + "learning_rate": 1.8870946456950922e-05, + "loss": 1.9776, + "step": 1430 + }, + { + "epoch": 0.92, + "learning_rate": 1.859000475189687e-05, + "loss": 1.9127, + "step": 1431 + }, + { + "epoch": 0.92, + "learning_rate": 1.831113040770588e-05, + "loss": 2.0195, + "step": 1432 + }, + { + "epoch": 0.92, + "learning_rate": 1.8034324621972133e-05, + "loss": 2.049, + "step": 1433 + }, + { + "epoch": 0.92, + "learning_rate": 1.7759588583406928e-05, + "loss": 1.9749, + "step": 1434 + }, + { + "epoch": 0.92, + "learning_rate": 1.7486923471833283e-05, + "loss": 2.0562, + "step": 1435 + }, + { + "epoch": 0.92, + "learning_rate": 1.7216330458180496e-05, + "loss": 2.0913, + "step": 1436 + }, + { + "epoch": 0.92, + "learning_rate": 1.6947810704479872e-05, + "loss": 2.056, + "step": 1437 + }, + { + "epoch": 0.92, + "learning_rate": 1.668136536385906e-05, + "loss": 1.9869, + "step": 1438 + }, + { + "epoch": 0.92, + "learning_rate": 1.6416995580537664e-05, + "loss": 2.041, + "step": 1439 + }, + { + "epoch": 0.92, + "learning_rate": 1.615470248982165e-05, + "loss": 2.1099, + "step": 1440 + }, + { + "epoch": 0.92, + "learning_rate": 1.5894487218099162e-05, + "loss": 2.1563, + "step": 1441 + }, + { + "epoch": 0.92, + "learning_rate": 1.563635088283538e-05, + "loss": 2.1086, + "step": 1442 + }, + { + "epoch": 0.92, + "learning_rate": 1.5380294592567512e-05, + "loss": 1.9234, + "step": 1443 + }, + { + "epoch": 0.92, + "learning_rate": 1.5126319446900515e-05, + "loss": 2.006, + "step": 1444 + }, + { + "epoch": 0.92, + "learning_rate": 1.4874426536501894e-05, + "loss": 2.1003, + "step": 1445 + }, + { + "epoch": 0.93, + "learning_rate": 1.4624616943097247e-05, + "loss": 2.0895, + "step": 1446 + }, + { + "epoch": 0.93, + "learning_rate": 1.4376891739465824e-05, + "loss": 2.0987, + "step": 1447 + }, + { + "epoch": 0.93, + "learning_rate": 1.4131251989435434e-05, + "loss": 1.9545, + "step": 1448 + }, + { + "epoch": 0.93, + "learning_rate": 1.3887698747878263e-05, + "loss": 2.0026, + "step": 1449 + }, + { + "epoch": 0.93, + "learning_rate": 1.3646233060706226e-05, + "loss": 2.0492, + "step": 1450 + }, + { + "epoch": 0.93, + "learning_rate": 1.3406855964866405e-05, + "loss": 2.0705, + "step": 1451 + }, + { + "epoch": 0.93, + "learning_rate": 1.316956848833667e-05, + "loss": 2.1291, + "step": 1452 + }, + { + "epoch": 0.93, + "learning_rate": 1.2934371650121457e-05, + "loss": 2.167, + "step": 1453 + }, + { + "epoch": 0.93, + "learning_rate": 1.2701266460246885e-05, + "loss": 2.049, + "step": 1454 + }, + { + "epoch": 0.93, + "learning_rate": 1.247025391975698e-05, + "loss": 2.1115, + "step": 1455 + }, + { + "epoch": 0.93, + "learning_rate": 1.2241335020708844e-05, + "loss": 1.9536, + "step": 1456 + }, + { + "epoch": 0.93, + "learning_rate": 1.2014510746168995e-05, + "loss": 1.9942, + "step": 1457 + }, + { + "epoch": 0.93, + "learning_rate": 1.1789782070208588e-05, + "loss": 1.972, + "step": 1458 + }, + { + "epoch": 0.93, + "learning_rate": 1.1567149957899593e-05, + "loss": 2.0336, + "step": 1459 + }, + { + "epoch": 0.93, + "learning_rate": 1.1346615365310453e-05, + "loss": 2.0645, + "step": 1460 + }, + { + "epoch": 0.93, + "learning_rate": 1.1128179239502046e-05, + "loss": 2.1064, + "step": 1461 + }, + { + "epoch": 0.94, + "learning_rate": 1.0911842518523673e-05, + "loss": 2.1099, + "step": 1462 + }, + { + "epoch": 0.94, + "learning_rate": 1.0697606131408966e-05, + "loss": 1.9866, + "step": 1463 + }, + { + "epoch": 0.94, + "learning_rate": 1.048547099817182e-05, + "loss": 2.0888, + "step": 1464 + }, + { + "epoch": 0.94, + "learning_rate": 1.0275438029802797e-05, + "loss": 2.0214, + "step": 1465 + }, + { + "epoch": 0.94, + "learning_rate": 1.0067508128264568e-05, + "loss": 2.0284, + "step": 1466 + }, + { + "epoch": 0.94, + "learning_rate": 9.861682186488696e-06, + "loss": 2.0187, + "step": 1467 + }, + { + "epoch": 0.94, + "learning_rate": 9.65796108837147e-06, + "loss": 2.1388, + "step": 1468 + }, + { + "epoch": 0.94, + "learning_rate": 9.456345708770075e-06, + "loss": 2.0939, + "step": 1469 + }, + { + "epoch": 0.94, + "learning_rate": 9.25683691349899e-06, + "loss": 2.0337, + "step": 1470 + }, + { + "epoch": 0.94, + "learning_rate": 9.059435559326258e-06, + "loss": 2.0728, + "step": 1471 + }, + { + "epoch": 0.94, + "learning_rate": 8.864142493969718e-06, + "loss": 1.986, + "step": 1472 + }, + { + "epoch": 0.94, + "learning_rate": 8.6709585560934e-06, + "loss": 1.9078, + "step": 1473 + }, + { + "epoch": 0.94, + "learning_rate": 8.479884575303798e-06, + "loss": 2.045, + "step": 1474 + }, + { + "epoch": 0.94, + "learning_rate": 8.290921372146654e-06, + "loss": 1.9891, + "step": 1475 + }, + { + "epoch": 0.94, + "learning_rate": 8.104069758103017e-06, + "loss": 2.0907, + "step": 1476 + }, + { + "epoch": 0.94, + "learning_rate": 7.919330535586133e-06, + "loss": 2.0122, + "step": 1477 + }, + { + "epoch": 0.95, + "learning_rate": 7.73670449793773e-06, + "loss": 2.0846, + "step": 1478 + }, + { + "epoch": 0.95, + "learning_rate": 7.556192429424569e-06, + "loss": 2.0389, + "step": 1479 + }, + { + "epoch": 0.95, + "learning_rate": 7.377795105235563e-06, + "loss": 1.9995, + "step": 1480 + }, + { + "epoch": 0.95, + "learning_rate": 7.201513291477669e-06, + "loss": 2.0477, + "step": 1481 + }, + { + "epoch": 0.95, + "learning_rate": 7.0273477451733295e-06, + "loss": 2.0437, + "step": 1482 + }, + { + "epoch": 0.95, + "learning_rate": 6.855299214256816e-06, + "loss": 2.0877, + "step": 1483 + }, + { + "epoch": 0.95, + "learning_rate": 6.68536843757106e-06, + "loss": 1.9569, + "step": 1484 + }, + { + "epoch": 0.95, + "learning_rate": 6.517556144864712e-06, + "loss": 2.0714, + "step": 1485 + }, + { + "epoch": 0.95, + "learning_rate": 6.351863056788587e-06, + "loss": 1.9801, + "step": 1486 + }, + { + "epoch": 0.95, + "learning_rate": 6.188289884893061e-06, + "loss": 1.9997, + "step": 1487 + }, + { + "epoch": 0.95, + "learning_rate": 6.026837331624513e-06, + "loss": 2.0261, + "step": 1488 + }, + { + "epoch": 0.95, + "learning_rate": 5.867506090322772e-06, + "loss": 2.0547, + "step": 1489 + }, + { + "epoch": 0.95, + "learning_rate": 5.7102968452179e-06, + "loss": 2.1389, + "step": 1490 + }, + { + "epoch": 0.95, + "learning_rate": 5.555210271427191e-06, + "loss": 1.9253, + "step": 1491 + }, + { + "epoch": 0.95, + "learning_rate": 5.402247034952456e-06, + "loss": 2.0889, + "step": 1492 + }, + { + "epoch": 0.96, + "learning_rate": 5.251407792677021e-06, + "loss": 2.0328, + "step": 1493 + }, + { + "epoch": 0.96, + "learning_rate": 5.102693192362895e-06, + "loss": 2.0667, + "step": 1494 + }, + { + "epoch": 0.96, + "learning_rate": 4.956103872648332e-06, + "loss": 2.1119, + "step": 1495 + }, + { + "epoch": 0.96, + "learning_rate": 4.811640463044498e-06, + "loss": 1.9774, + "step": 1496 + }, + { + "epoch": 0.96, + "learning_rate": 4.6693035839331375e-06, + "loss": 2.1061, + "step": 1497 + }, + { + "epoch": 0.96, + "learning_rate": 4.529093846564025e-06, + "loss": 2.0502, + "step": 1498 + }, + { + "epoch": 0.96, + "learning_rate": 4.391011853051963e-06, + "loss": 2.1556, + "step": 1499 + }, + { + "epoch": 0.96, + "learning_rate": 4.255058196374506e-06, + "loss": 2.1004, + "step": 1500 + }, + { + "epoch": 0.96, + "learning_rate": 4.1212334603693e-06, + "loss": 2.048, + "step": 1501 + }, + { + "epoch": 0.96, + "learning_rate": 3.98953821973147e-06, + "loss": 2.111, + "step": 1502 + }, + { + "epoch": 0.96, + "learning_rate": 3.859973040011511e-06, + "loss": 2.0643, + "step": 1503 + }, + { + "epoch": 0.96, + "learning_rate": 3.732538477612346e-06, + "loss": 2.0215, + "step": 1504 + }, + { + "epoch": 0.96, + "learning_rate": 3.60723507978733e-06, + "loss": 2.0689, + "step": 1505 + }, + { + "epoch": 0.96, + "learning_rate": 3.484063384637748e-06, + "loss": 2.1398, + "step": 1506 + }, + { + "epoch": 0.96, + "learning_rate": 3.3630239211105417e-06, + "loss": 2.0233, + "step": 1507 + }, + { + "epoch": 0.96, + "learning_rate": 3.244117208996089e-06, + "loss": 1.9022, + "step": 1508 + }, + { + "epoch": 0.97, + "learning_rate": 3.1273437589257048e-06, + "loss": 2.0525, + "step": 1509 + }, + { + "epoch": 0.97, + "learning_rate": 3.012704072369921e-06, + "loss": 2.0592, + "step": 1510 + }, + { + "epoch": 0.97, + "learning_rate": 2.900198641635876e-06, + "loss": 2.159, + "step": 1511 + }, + { + "epoch": 0.97, + "learning_rate": 2.78982794986532e-06, + "loss": 2.0346, + "step": 1512 + }, + { + "epoch": 0.97, + "learning_rate": 2.6815924710329455e-06, + "loss": 2.1132, + "step": 1513 + }, + { + "epoch": 0.97, + "learning_rate": 2.575492669943613e-06, + "loss": 1.8871, + "step": 1514 + }, + { + "epoch": 0.97, + "learning_rate": 2.471529002231021e-06, + "loss": 2.0232, + "step": 1515 + }, + { + "epoch": 0.97, + "learning_rate": 2.3697019143554268e-06, + "loss": 2.1101, + "step": 1516 + }, + { + "epoch": 0.97, + "learning_rate": 2.2700118436016494e-06, + "loss": 1.9881, + "step": 1517 + }, + { + "epoch": 0.97, + "learning_rate": 2.1724592180775713e-06, + "loss": 2.0167, + "step": 1518 + }, + { + "epoch": 0.97, + "learning_rate": 2.0770444567118076e-06, + "loss": 2.0315, + "step": 1519 + }, + { + "epoch": 0.97, + "learning_rate": 1.98376796925237e-06, + "loss": 2.0213, + "step": 1520 + }, + { + "epoch": 0.97, + "learning_rate": 1.8926301562645631e-06, + "loss": 1.9744, + "step": 1521 + }, + { + "epoch": 0.97, + "learning_rate": 1.8036314091294248e-06, + "loss": 1.9864, + "step": 1522 + }, + { + "epoch": 0.97, + "learning_rate": 1.7167721100420087e-06, + "loss": 2.1043, + "step": 1523 + }, + { + "epoch": 0.98, + "learning_rate": 1.6320526320098283e-06, + "loss": 2.1207, + "step": 1524 + }, + { + "epoch": 0.98, + "learning_rate": 1.5494733388510818e-06, + "loss": 2.1295, + "step": 1525 + }, + { + "epoch": 0.98, + "learning_rate": 1.4690345851932074e-06, + "loss": 2.0264, + "step": 1526 + }, + { + "epoch": 0.98, + "learning_rate": 1.3907367164713303e-06, + "loss": 1.9259, + "step": 1527 + }, + { + "epoch": 0.98, + "learning_rate": 1.3145800689268738e-06, + "loss": 1.9978, + "step": 1528 + }, + { + "epoch": 0.98, + "learning_rate": 1.240564969605895e-06, + "loss": 2.1096, + "step": 1529 + }, + { + "epoch": 0.98, + "learning_rate": 1.1686917363579187e-06, + "loss": 2.1318, + "step": 1530 + }, + { + "epoch": 0.98, + "learning_rate": 1.0989606778344375e-06, + "loss": 2.0157, + "step": 1531 + }, + { + "epoch": 0.98, + "learning_rate": 1.031372093487526e-06, + "loss": 2.0984, + "step": 1532 + }, + { + "epoch": 0.98, + "learning_rate": 9.6592627356884e-07, + "loss": 2.081, + "step": 1533 + }, + { + "epoch": 0.98, + "learning_rate": 9.02623499128008e-07, + "loss": 1.9643, + "step": 1534 + }, + { + "epoch": 0.98, + "learning_rate": 8.414640420116304e-07, + "loss": 2.0651, + "step": 1535 + }, + { + "epoch": 0.98, + "learning_rate": 7.824481648621151e-07, + "loss": 2.0144, + "step": 1536 + }, + { + "epoch": 0.98, + "learning_rate": 7.255761211165113e-07, + "loss": 1.9446, + "step": 1537 + }, + { + "epoch": 0.98, + "learning_rate": 6.708481550052881e-07, + "loss": 2.1112, + "step": 1538 + }, + { + "epoch": 0.98, + "learning_rate": 6.182645015516131e-07, + "loss": 2.0769, + "step": 1539 + }, + { + "epoch": 0.99, + "learning_rate": 5.678253865700756e-07, + "loss": 2.123, + "step": 1540 + }, + { + "epoch": 0.99, + "learning_rate": 5.195310266656317e-07, + "loss": 2.042, + "step": 1541 + }, + { + "epoch": 0.99, + "learning_rate": 4.733816292330495e-07, + "loss": 2.0879, + "step": 1542 + }, + { + "epoch": 0.99, + "learning_rate": 4.293773924556321e-07, + "loss": 1.8932, + "step": 1543 + }, + { + "epoch": 0.99, + "learning_rate": 3.875185053047181e-07, + "loss": 1.9342, + "step": 1544 + }, + { + "epoch": 0.99, + "learning_rate": 3.4780514753851577e-07, + "loss": 1.8892, + "step": 1545 + }, + { + "epoch": 0.99, + "learning_rate": 3.1023748970149257e-07, + "loss": 1.9717, + "step": 1546 + }, + { + "epoch": 0.99, + "learning_rate": 2.7481569312381993e-07, + "loss": 2.0279, + "step": 1547 + }, + { + "epoch": 0.99, + "learning_rate": 2.4153990992031863e-07, + "loss": 2.0209, + "step": 1548 + }, + { + "epoch": 0.99, + "learning_rate": 2.1041028299012554e-07, + "loss": 2.0255, + "step": 1549 + }, + { + "epoch": 0.99, + "learning_rate": 1.814269460158613e-07, + "loss": 2.1133, + "step": 1550 + }, + { + "epoch": 0.99, + "learning_rate": 1.5459002346324135e-07, + "loss": 2.112, + "step": 1551 + }, + { + "epoch": 0.99, + "learning_rate": 1.298996305804101e-07, + "loss": 1.9504, + "step": 1552 + }, + { + "epoch": 0.99, + "learning_rate": 1.0735587339749664e-07, + "loss": 2.033, + "step": 1553 + }, + { + "epoch": 0.99, + "learning_rate": 8.695884872600423e-08, + "loss": 2.0499, + "step": 1554 + }, + { + "epoch": 0.99, + "learning_rate": 6.870864415875477e-08, + "loss": 1.9979, + "step": 1555 + }, + { + "epoch": 1.0, + "learning_rate": 5.260533806911161e-08, + "loss": 2.0888, + "step": 1556 + }, + { + "epoch": 1.0, + "learning_rate": 3.864899961097956e-08, + "loss": 2.0155, + "step": 1557 + }, + { + "epoch": 1.0, + "learning_rate": 2.683968871824982e-08, + "loss": 2.0571, + "step": 1558 + }, + { + "epoch": 1.0, + "learning_rate": 1.7177456104688903e-08, + "loss": 2.1045, + "step": 1559 + }, + { + "epoch": 1.0, + "learning_rate": 9.6623432636056e-09, + "loss": 1.9497, + "step": 1560 + }, + { + "epoch": 1.0, + "learning_rate": 4.294382467906477e-09, + "loss": 1.9055, + "step": 1561 + }, + { + "epoch": 1.0, + "learning_rate": 1.0735967695962856e-09, + "loss": 2.1567, + "step": 1562 + }, + { + "epoch": 1.0, + "learning_rate": 0.0, + "loss": 2.0059, + "step": 1563 + }, + { + "epoch": 1.0, + "step": 1563, + "total_flos": 5.05049150555947e+17, + "train_loss": 2.211227413788867, + "train_runtime": 13197.7803, + "train_samples_per_second": 15.154, + "train_steps_per_second": 0.118 + } + ], + "logging_steps": 1.0, + "max_steps": 1563, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 24000, + "total_flos": 5.05049150555947e+17, + "train_batch_size": 32, + "trial_name": null, + "trial_params": null +}