diff --git "a/lora-checkpoints-1/trainer_state.json" "b/lora-checkpoints-1/trainer_state.json" new file mode 100644--- /dev/null +++ "b/lora-checkpoints-1/trainer_state.json" @@ -0,0 +1,10675 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.0, + "global_step": 1775, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 3.7037037037037037e-06, + "loss": 1.6156, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 7.4074074074074075e-06, + "loss": 1.5653, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 1.1111111111111112e-05, + "loss": 1.3969, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 1.4814814814814815e-05, + "loss": 1.2164, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 1.8518518518518518e-05, + "loss": 1.2245, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 2.2222222222222223e-05, + "loss": 1.4574, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 2.5925925925925925e-05, + "loss": 1.2275, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 2.962962962962963e-05, + "loss": 1.2384, + "step": 8 + }, + { + "epoch": 0.01, + "learning_rate": 3.3333333333333335e-05, + "loss": 1.3397, + "step": 9 + }, + { + "epoch": 0.01, + "learning_rate": 3.7037037037037037e-05, + "loss": 1.0733, + "step": 10 + }, + { + "epoch": 0.01, + "learning_rate": 4.074074074074074e-05, + "loss": 1.047, + "step": 11 + }, + { + "epoch": 0.01, + "learning_rate": 4.4444444444444447e-05, + "loss": 1.0879, + "step": 12 + }, + { + "epoch": 0.01, + "learning_rate": 4.814814814814815e-05, + "loss": 1.4383, + "step": 13 + }, + { + "epoch": 0.01, + "learning_rate": 5.185185185185185e-05, + "loss": 1.0471, + "step": 14 + }, + { + "epoch": 0.01, + "learning_rate": 5.555555555555556e-05, + "loss": 1.1159, + "step": 15 + }, + { + "epoch": 0.01, + "learning_rate": 5.925925925925926e-05, + "loss": 1.569, + "step": 16 + }, + { + "epoch": 0.01, + "learning_rate": 6.296296296296296e-05, + "loss": 1.3859, + "step": 17 + }, + { + "epoch": 0.01, + "learning_rate": 6.666666666666667e-05, + "loss": 1.0769, + "step": 18 + }, + { + "epoch": 0.01, + "learning_rate": 7.037037037037038e-05, + "loss": 0.8342, + "step": 19 + }, + { + "epoch": 0.01, + "learning_rate": 7.407407407407407e-05, + "loss": 1.2498, + "step": 20 + }, + { + "epoch": 0.01, + "learning_rate": 7.777777777777778e-05, + "loss": 0.9921, + "step": 21 + }, + { + "epoch": 0.01, + "learning_rate": 8.148148148148148e-05, + "loss": 1.0894, + "step": 22 + }, + { + "epoch": 0.01, + "learning_rate": 8.518518518518518e-05, + "loss": 1.2262, + "step": 23 + }, + { + "epoch": 0.01, + "learning_rate": 8.888888888888889e-05, + "loss": 1.0083, + "step": 24 + }, + { + "epoch": 0.01, + "learning_rate": 9.25925925925926e-05, + "loss": 1.0188, + "step": 25 + }, + { + "epoch": 0.01, + "learning_rate": 9.62962962962963e-05, + "loss": 1.2602, + "step": 26 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001, + "loss": 1.0527, + "step": 27 + }, + { + "epoch": 0.02, + "learning_rate": 0.0001037037037037037, + "loss": 0.9503, + "step": 28 + }, + { + "epoch": 0.02, + "learning_rate": 0.00010740740740740742, + "loss": 1.0101, + "step": 29 + }, + { + "epoch": 0.02, + "learning_rate": 0.00011111111111111112, + "loss": 1.0957, + "step": 30 + }, + { + "epoch": 0.02, + "learning_rate": 0.00011481481481481482, + "loss": 0.976, + "step": 31 + }, + { + "epoch": 0.02, + "learning_rate": 0.00011851851851851852, + "loss": 0.9268, + "step": 32 + }, + { + "epoch": 0.02, + "learning_rate": 0.00012222222222222224, + "loss": 0.8646, + "step": 33 + }, + { + "epoch": 0.02, + "learning_rate": 0.00012592592592592592, + "loss": 1.0684, + "step": 34 + }, + { + "epoch": 0.02, + "learning_rate": 0.00012962962962962963, + "loss": 0.915, + "step": 35 + }, + { + "epoch": 0.02, + "learning_rate": 0.00013333333333333334, + "loss": 1.2329, + "step": 36 + }, + { + "epoch": 0.02, + "learning_rate": 0.00013703703703703705, + "loss": 1.1997, + "step": 37 + }, + { + "epoch": 0.02, + "learning_rate": 0.00014074074074074076, + "loss": 0.7975, + "step": 38 + }, + { + "epoch": 0.02, + "learning_rate": 0.00014444444444444444, + "loss": 0.8977, + "step": 39 + }, + { + "epoch": 0.02, + "learning_rate": 0.00014814814814814815, + "loss": 0.8541, + "step": 40 + }, + { + "epoch": 0.02, + "learning_rate": 0.00015185185185185185, + "loss": 0.843, + "step": 41 + }, + { + "epoch": 0.02, + "learning_rate": 0.00015555555555555556, + "loss": 1.0504, + "step": 42 + }, + { + "epoch": 0.02, + "learning_rate": 0.00015925925925925927, + "loss": 1.1616, + "step": 43 + }, + { + "epoch": 0.02, + "learning_rate": 0.00016296296296296295, + "loss": 1.0504, + "step": 44 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001666666666666667, + "loss": 1.0339, + "step": 45 + }, + { + "epoch": 0.03, + "learning_rate": 0.00017037037037037037, + "loss": 1.3559, + "step": 46 + }, + { + "epoch": 0.03, + "learning_rate": 0.00017407407407407408, + "loss": 0.9241, + "step": 47 + }, + { + "epoch": 0.03, + "learning_rate": 0.00017777777777777779, + "loss": 0.8159, + "step": 48 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001814814814814815, + "loss": 0.9279, + "step": 49 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001851851851851852, + "loss": 0.8833, + "step": 50 + }, + { + "epoch": 0.03, + "learning_rate": 0.00018888888888888888, + "loss": 0.7633, + "step": 51 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001925925925925926, + "loss": 0.8833, + "step": 52 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001962962962962963, + "loss": 1.1069, + "step": 53 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8578, + "step": 54 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019999983338738205, + "loss": 0.795, + "step": 55 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019999933355008333, + "loss": 0.9512, + "step": 56 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019999850048976945, + "loss": 0.9342, + "step": 57 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001999973342092164, + "loss": 1.0502, + "step": 58 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019999583471231046, + "loss": 0.9382, + "step": 59 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001999940020040484, + "loss": 1.0215, + "step": 60 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001999918360905372, + "loss": 0.8625, + "step": 61 + }, + { + "epoch": 0.03, + "learning_rate": 0.0001999893369789943, + "loss": 1.0226, + "step": 62 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019998650467774733, + "loss": 1.111, + "step": 63 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019998333919623424, + "loss": 0.8417, + "step": 64 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001999798405450032, + "loss": 1.1361, + "step": 65 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019997600873571263, + "loss": 0.7799, + "step": 66 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019997184378113105, + "loss": 0.9244, + "step": 67 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019996734569513715, + "loss": 0.8649, + "step": 68 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019996251449271973, + "loss": 0.7906, + "step": 69 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001999573501899775, + "loss": 0.9595, + "step": 70 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019995185280411928, + "loss": 1.0123, + "step": 71 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019994602235346372, + "loss": 0.8628, + "step": 72 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019993985885743938, + "loss": 0.9477, + "step": 73 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019993336233658455, + "loss": 1.0705, + "step": 74 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001999265328125473, + "loss": 0.8122, + "step": 75 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019991937030808528, + "loss": 0.9656, + "step": 76 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019991187484706585, + "loss": 0.9207, + "step": 77 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001999040464544657, + "loss": 0.9395, + "step": 78 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019989588515637106, + "loss": 0.9005, + "step": 79 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001998873909799774, + "loss": 0.7768, + "step": 80 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019987856395358946, + "loss": 0.9209, + "step": 81 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019986940410662114, + "loss": 0.8841, + "step": 82 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019985991146959537, + "loss": 0.8465, + "step": 83 + }, + { + "epoch": 0.05, + "learning_rate": 0.000199850086074144, + "loss": 1.5621, + "step": 84 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001998399279530077, + "loss": 1.0367, + "step": 85 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001998294371400359, + "loss": 1.0315, + "step": 86 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019981861367018668, + "loss": 0.9351, + "step": 87 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019980745757952655, + "loss": 0.9467, + "step": 88 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019979596890523041, + "loss": 0.9819, + "step": 89 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019978414768558143, + "loss": 0.7389, + "step": 90 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019977199395997087, + "loss": 0.841, + "step": 91 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019975950776889804, + "loss": 0.8481, + "step": 92 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001997466891539701, + "loss": 1.0625, + "step": 93 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019973353815790187, + "loss": 0.9027, + "step": 94 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019972005482451582, + "loss": 0.8663, + "step": 95 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019970623919874178, + "loss": 1.0159, + "step": 96 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001996920913266169, + "loss": 0.9159, + "step": 97 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019967761125528553, + "loss": 1.0981, + "step": 98 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019966279903299884, + "loss": 0.8146, + "step": 99 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019964765470911492, + "loss": 0.7222, + "step": 100 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019963217833409854, + "loss": 0.9921, + "step": 101 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001996163699595208, + "loss": 1.3971, + "step": 102 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019960022963805922, + "loss": 1.1027, + "step": 103 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019958375742349746, + "loss": 0.7822, + "step": 104 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019956695337072504, + "loss": 1.0715, + "step": 105 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019954981753573733, + "loss": 1.0565, + "step": 106 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001995323499756353, + "loss": 1.3881, + "step": 107 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019951455074862517, + "loss": 0.9813, + "step": 108 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019949641991401856, + "loss": 1.0453, + "step": 109 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001994779575322319, + "loss": 0.8274, + "step": 110 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001994591636647866, + "loss": 0.7891, + "step": 111 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019944003837430845, + "loss": 0.9952, + "step": 112 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019942058172452783, + "loss": 0.8288, + "step": 113 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019940079378027919, + "loss": 0.8955, + "step": 114 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019938067460750097, + "loss": 0.8128, + "step": 115 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019936022427323528, + "loss": 0.8954, + "step": 116 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019933944284562785, + "loss": 0.9127, + "step": 117 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019931833039392758, + "loss": 1.5297, + "step": 118 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019929688698848655, + "loss": 1.4747, + "step": 119 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001992751127007596, + "loss": 0.9704, + "step": 120 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019925300760330407, + "loss": 1.0599, + "step": 121 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019923057176977977, + "loss": 0.8956, + "step": 122 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001992078052749486, + "loss": 0.8015, + "step": 123 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019918470819467422, + "loss": 0.8177, + "step": 124 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019916128060592196, + "loss": 0.9083, + "step": 125 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019913752258675843, + "loss": 1.3935, + "step": 126 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019911343421635133, + "loss": 1.1009, + "step": 127 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019908901557496927, + "loss": 0.9699, + "step": 128 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019906426674398122, + "loss": 0.8572, + "step": 129 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019903918780585656, + "loss": 0.8358, + "step": 130 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019901377884416473, + "loss": 1.0103, + "step": 131 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001989880399435747, + "loss": 0.8636, + "step": 132 + }, + { + "epoch": 0.07, + "learning_rate": 0.000198961971189855, + "loss": 0.8481, + "step": 133 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019893557266987332, + "loss": 0.9202, + "step": 134 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001989088444715962, + "loss": 0.9665, + "step": 135 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001988817866840887, + "loss": 1.1398, + "step": 136 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001988543993975142, + "loss": 0.8528, + "step": 137 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019882668270313413, + "loss": 0.813, + "step": 138 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019879863669330743, + "loss": 0.7961, + "step": 139 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001987702614614905, + "loss": 1.1777, + "step": 140 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019874155710223677, + "loss": 1.0353, + "step": 141 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019871252371119643, + "loss": 0.8068, + "step": 142 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019868316138511603, + "loss": 0.8066, + "step": 143 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019865347022183827, + "loss": 1.0352, + "step": 144 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001986234503203016, + "loss": 0.8572, + "step": 145 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019859310178053994, + "loss": 0.9557, + "step": 146 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019856242470368222, + "loss": 1.3891, + "step": 147 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019853141919195223, + "loss": 0.9101, + "step": 148 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019850008534866818, + "loss": 0.9016, + "step": 149 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001984684232782423, + "loss": 0.7849, + "step": 150 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019843643308618068, + "loss": 1.1141, + "step": 151 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001984041148790826, + "loss": 0.8641, + "step": 152 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019837146876464058, + "loss": 0.9155, + "step": 153 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019833849485163962, + "loss": 0.945, + "step": 154 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001983051932499572, + "loss": 1.0809, + "step": 155 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019827156407056264, + "loss": 0.9264, + "step": 156 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019823760742551685, + "loss": 0.6897, + "step": 157 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019820332342797192, + "loss": 0.7899, + "step": 158 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001981687121921708, + "loss": 0.8011, + "step": 159 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019813377383344686, + "loss": 0.8901, + "step": 160 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001980985084682235, + "loss": 0.8281, + "step": 161 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019806291621401388, + "loss": 0.8769, + "step": 162 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019802699718942033, + "loss": 0.7309, + "step": 163 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019799075151413412, + "loss": 0.9114, + "step": 164 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019795417930893494, + "loss": 0.9296, + "step": 165 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019791728069569066, + "loss": 1.5162, + "step": 166 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019788005579735675, + "loss": 0.836, + "step": 167 + }, + { + "epoch": 0.09, + "learning_rate": 0.000197842504737976, + "loss": 0.7553, + "step": 168 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019780462764267798, + "loss": 1.0793, + "step": 169 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001977664246376787, + "loss": 0.8704, + "step": 170 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001977278958502803, + "loss": 0.8467, + "step": 171 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019768904140887033, + "loss": 0.9529, + "step": 172 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019764986144292165, + "loss": 0.9642, + "step": 173 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001976103560829918, + "loss": 0.9745, + "step": 174 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019757052546072256, + "loss": 0.9918, + "step": 175 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001975303697088397, + "loss": 0.9228, + "step": 176 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019748988896115221, + "loss": 0.8553, + "step": 177 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019744908335255222, + "loss": 1.459, + "step": 178 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019740795301901435, + "loss": 0.8777, + "step": 179 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019736649809759516, + "loss": 1.1507, + "step": 180 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019732471872643297, + "loss": 1.5318, + "step": 181 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001972826150447472, + "loss": 0.7829, + "step": 182 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001972401871928379, + "loss": 0.7352, + "step": 183 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001971974353120854, + "loss": 0.7926, + "step": 184 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019715435954494975, + "loss": 0.737, + "step": 185 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019711096003497026, + "loss": 0.7938, + "step": 186 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001970672369267651, + "loss": 0.8829, + "step": 187 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019702319036603067, + "loss": 0.7432, + "step": 188 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001969788204995412, + "loss": 1.0677, + "step": 189 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001969341274751483, + "loss": 1.0395, + "step": 190 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019688911144178045, + "loss": 0.7546, + "step": 191 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001968437725494424, + "loss": 0.8733, + "step": 192 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019679811094921478, + "loss": 1.068, + "step": 193 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019675212679325354, + "loss": 0.886, + "step": 194 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019670582023478952, + "loss": 0.8922, + "step": 195 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019665919142812784, + "loss": 0.8347, + "step": 196 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019661224052864752, + "loss": 1.0944, + "step": 197 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001965649676928007, + "loss": 1.0164, + "step": 198 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019651737307811246, + "loss": 1.0235, + "step": 199 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019646945684318007, + "loss": 1.032, + "step": 200 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001964212191476725, + "loss": 1.0406, + "step": 201 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019637266015232993, + "loss": 0.9182, + "step": 202 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001963237800189632, + "loss": 0.9003, + "step": 203 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001962745789104532, + "loss": 1.0019, + "step": 204 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019622505699075048, + "loss": 0.871, + "step": 205 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001961752144248746, + "loss": 0.7815, + "step": 206 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019612505137891353, + "loss": 1.337, + "step": 207 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001960745680200232, + "loss": 1.0935, + "step": 208 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001960237645164269, + "loss": 1.0427, + "step": 209 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019597264103741473, + "loss": 0.7992, + "step": 210 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019592119775334302, + "loss": 1.4345, + "step": 211 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001958694348356338, + "loss": 0.9539, + "step": 212 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019581735245677412, + "loss": 1.5357, + "step": 213 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001957649507903157, + "loss": 0.8563, + "step": 214 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019571223001087402, + "loss": 1.0575, + "step": 215 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019565919029412808, + "loss": 1.0911, + "step": 216 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019560583181681956, + "loss": 0.8674, + "step": 217 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001955521547567524, + "loss": 0.7726, + "step": 218 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019549815929279212, + "loss": 0.7347, + "step": 219 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019544384560486524, + "loss": 0.775, + "step": 220 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001953892138739586, + "loss": 1.0373, + "step": 221 + }, + { + "epoch": 0.13, + "learning_rate": 0.000195334264282119, + "loss": 1.1528, + "step": 222 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019527899701245232, + "loss": 0.8832, + "step": 223 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019522341224912303, + "loss": 0.9369, + "step": 224 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019516751017735362, + "loss": 0.7424, + "step": 225 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019511129098342383, + "loss": 1.2663, + "step": 226 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019505475485467031, + "loss": 1.0327, + "step": 227 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019499790197948565, + "loss": 0.7705, + "step": 228 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019494073254731794, + "loss": 0.8773, + "step": 229 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019488324674867024, + "loss": 0.9251, + "step": 230 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019482544477509968, + "loss": 0.7985, + "step": 231 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019476732681921702, + "loss": 0.8283, + "step": 232 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019470889307468601, + "loss": 1.0076, + "step": 233 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019465014373622256, + "loss": 0.9597, + "step": 234 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019459107899959434, + "loss": 1.3785, + "step": 235 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019453169906161994, + "loss": 0.9615, + "step": 236 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019447200412016832, + "loss": 0.8347, + "step": 237 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019441199437415807, + "loss": 1.0783, + "step": 238 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019435167002355682, + "loss": 0.7429, + "step": 239 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019429103126938048, + "loss": 0.7747, + "step": 240 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019423007831369273, + "loss": 1.0095, + "step": 241 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019416881135960422, + "loss": 1.3889, + "step": 242 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019410723061127186, + "loss": 0.9639, + "step": 243 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019404533627389827, + "loss": 0.9272, + "step": 244 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019398312855373098, + "loss": 0.8153, + "step": 245 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019392060765806185, + "loss": 0.8101, + "step": 246 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019385777379522622, + "loss": 0.7923, + "step": 247 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001937946271746024, + "loss": 0.8118, + "step": 248 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019373116800661092, + "loss": 0.657, + "step": 249 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019366739650271368, + "loss": 0.7612, + "step": 250 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019360331287541344, + "loss": 0.8982, + "step": 251 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019353891733825304, + "loss": 0.9628, + "step": 252 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019347421010581465, + "loss": 0.9822, + "step": 253 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019340919139371903, + "loss": 0.9402, + "step": 254 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019334386141862505, + "loss": 0.7639, + "step": 255 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019327822039822863, + "loss": 0.983, + "step": 256 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001932122685512622, + "loss": 0.7007, + "step": 257 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019314600609749395, + "loss": 0.7921, + "step": 258 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019307943325772714, + "loss": 1.046, + "step": 259 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001930125502537992, + "loss": 0.6867, + "step": 260 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019294535730858127, + "loss": 0.8388, + "step": 261 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001928778546459771, + "loss": 0.8017, + "step": 262 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019281004249092272, + "loss": 0.9773, + "step": 263 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019274192106938522, + "loss": 1.2289, + "step": 264 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019267349060836245, + "loss": 0.8394, + "step": 265 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019260475133588194, + "loss": 0.8306, + "step": 266 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019253570348100029, + "loss": 0.7998, + "step": 267 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019246634727380238, + "loss": 0.88, + "step": 268 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001923966829454006, + "loss": 0.9796, + "step": 269 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019232671072793412, + "loss": 1.4552, + "step": 270 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019225643085456792, + "loss": 0.8625, + "step": 271 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019218584355949235, + "loss": 0.7941, + "step": 272 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001921149490779221, + "loss": 0.8139, + "step": 273 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019204374764609546, + "loss": 0.8766, + "step": 274 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019197223950127352, + "loss": 0.9313, + "step": 275 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019190042488173952, + "loss": 0.8172, + "step": 276 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019182830402679786, + "loss": 1.0091, + "step": 277 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001917558771767735, + "loss": 0.8192, + "step": 278 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019168314457301087, + "loss": 0.9843, + "step": 279 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019161010645787343, + "loss": 0.871, + "step": 280 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019153676307474263, + "loss": 0.8803, + "step": 281 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019146311466801709, + "loss": 1.3221, + "step": 282 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019138916148311186, + "loss": 0.7727, + "step": 283 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019131490376645769, + "loss": 0.8603, + "step": 284 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019124034176549998, + "loss": 0.9902, + "step": 285 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019116547572869816, + "loss": 1.0216, + "step": 286 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019109030590552478, + "loss": 0.8401, + "step": 287 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001910148325464646, + "loss": 1.0606, + "step": 288 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019093905590301388, + "loss": 0.78, + "step": 289 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019086297622767964, + "loss": 0.9343, + "step": 290 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019078659377397842, + "loss": 0.8022, + "step": 291 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019070990879643595, + "loss": 0.775, + "step": 292 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019063292155058586, + "loss": 0.9838, + "step": 293 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019055563229296906, + "loss": 0.8544, + "step": 294 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019047804128113295, + "loss": 1.0533, + "step": 295 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019040014877363024, + "loss": 0.7176, + "step": 296 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019032195503001852, + "loss": 0.8775, + "step": 297 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019024346031085908, + "loss": 1.0344, + "step": 298 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019016466487771605, + "loss": 0.9044, + "step": 299 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019008556899315575, + "loss": 1.0232, + "step": 300 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019000617292074562, + "loss": 1.0462, + "step": 301 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018992647692505344, + "loss": 0.9079, + "step": 302 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018984648127164637, + "loss": 0.8502, + "step": 303 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018976618622709005, + "loss": 0.9477, + "step": 304 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001896855920589479, + "loss": 0.8901, + "step": 305 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018960469903578, + "loss": 0.9076, + "step": 306 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018952350742714236, + "loss": 0.7829, + "step": 307 + }, + { + "epoch": 0.17, + "learning_rate": 0.00018944201750358585, + "loss": 0.8432, + "step": 308 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001893602295366555, + "loss": 0.9024, + "step": 309 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001892781437988894, + "loss": 0.7057, + "step": 310 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018919576056381803, + "loss": 0.7502, + "step": 311 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018911308010596302, + "loss": 0.9563, + "step": 312 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018903010270083663, + "loss": 0.8973, + "step": 313 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018894682862494042, + "loss": 0.9902, + "step": 314 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001888632581557647, + "loss": 1.0053, + "step": 315 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018877939157178726, + "loss": 0.8633, + "step": 316 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018869522915247283, + "loss": 0.7928, + "step": 317 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001886107711782718, + "loss": 1.134, + "step": 318 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018852601793061945, + "loss": 0.8021, + "step": 319 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018844096969193494, + "loss": 1.5151, + "step": 320 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018835562674562054, + "loss": 0.7987, + "step": 321 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018826998937606043, + "loss": 0.9297, + "step": 322 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018818405786861996, + "loss": 0.8499, + "step": 323 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001880978325096446, + "loss": 0.7189, + "step": 324 + }, + { + "epoch": 0.18, + "learning_rate": 0.000188011313586459, + "loss": 0.7418, + "step": 325 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018792450138736607, + "loss": 0.7652, + "step": 326 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018783739620164592, + "loss": 0.7955, + "step": 327 + }, + { + "epoch": 0.18, + "learning_rate": 0.00018774999831955506, + "loss": 0.8644, + "step": 328 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001876623080323252, + "loss": 0.7352, + "step": 329 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018757432563216265, + "loss": 1.0154, + "step": 330 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018748605141224683, + "loss": 0.7747, + "step": 331 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018739748566672982, + "loss": 0.8373, + "step": 332 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018730862869073493, + "loss": 0.8233, + "step": 333 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018721948078035614, + "loss": 0.9781, + "step": 334 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018713004223265672, + "loss": 0.9515, + "step": 335 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001870403133456685, + "loss": 1.0041, + "step": 336 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018695029441839075, + "loss": 0.855, + "step": 337 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018685998575078928, + "loss": 0.9206, + "step": 338 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018676938764379539, + "loss": 1.379, + "step": 339 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018667850039930477, + "loss": 1.0057, + "step": 340 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001865873243201767, + "loss": 0.9008, + "step": 341 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018649585971023284, + "loss": 0.7521, + "step": 342 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001864041068742564, + "loss": 1.1338, + "step": 343 + }, + { + "epoch": 0.19, + "learning_rate": 0.000186312066117991, + "loss": 0.7557, + "step": 344 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018621973774813957, + "loss": 1.0157, + "step": 345 + }, + { + "epoch": 0.19, + "learning_rate": 0.00018612712207236365, + "loss": 0.7837, + "step": 346 + }, + { + "epoch": 0.2, + "learning_rate": 0.000186034219399282, + "loss": 0.8779, + "step": 347 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018594103003846972, + "loss": 0.8541, + "step": 348 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018584755430045734, + "loss": 0.8277, + "step": 349 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001857537924967296, + "loss": 0.6714, + "step": 350 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001856597449397245, + "loss": 0.9007, + "step": 351 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018556541194283223, + "loss": 1.2025, + "step": 352 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018547079382039407, + "loss": 1.2175, + "step": 353 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001853758908877016, + "loss": 0.9114, + "step": 354 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018528070346099525, + "loss": 0.7793, + "step": 355 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001851852318574636, + "loss": 0.8605, + "step": 356 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018508947639524212, + "loss": 0.8143, + "step": 357 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018499343739341212, + "loss": 0.8905, + "step": 358 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018489711517199987, + "loss": 0.9302, + "step": 359 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018480051005197528, + "loss": 0.7711, + "step": 360 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018470362235525095, + "loss": 0.8955, + "step": 361 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018460645240468124, + "loss": 0.9303, + "step": 362 + }, + { + "epoch": 0.2, + "learning_rate": 0.00018450900052406085, + "loss": 0.8873, + "step": 363 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018441126703812408, + "loss": 0.9313, + "step": 364 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018431325227254353, + "loss": 0.8167, + "step": 365 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001842149565539292, + "loss": 0.8987, + "step": 366 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018411638020982717, + "loss": 1.2625, + "step": 367 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018401752356871876, + "loss": 0.7683, + "step": 368 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018391838696001919, + "loss": 0.7065, + "step": 369 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018381897071407665, + "loss": 0.8583, + "step": 370 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001837192751621712, + "loss": 1.0727, + "step": 371 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001836193006365136, + "loss": 1.0953, + "step": 372 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018351904747024414, + "loss": 1.0089, + "step": 373 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018341851599743168, + "loss": 0.8007, + "step": 374 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018331770655307246, + "loss": 0.7265, + "step": 375 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018321661947308902, + "loss": 1.1326, + "step": 376 + }, + { + "epoch": 0.21, + "learning_rate": 0.000183115255094329, + "loss": 0.9342, + "step": 377 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018301361375456406, + "loss": 1.2021, + "step": 378 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018291169579248885, + "loss": 0.7478, + "step": 379 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018280950154771973, + "loss": 0.8206, + "step": 380 + }, + { + "epoch": 0.21, + "learning_rate": 0.00018270703136079365, + "loss": 0.7933, + "step": 381 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018260428557316722, + "loss": 0.9599, + "step": 382 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018250126452721527, + "loss": 1.0447, + "step": 383 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018239796856622998, + "loss": 0.8113, + "step": 384 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018229439803441947, + "loss": 0.8049, + "step": 385 + }, + { + "epoch": 0.22, + "learning_rate": 0.000182190553276907, + "loss": 0.8866, + "step": 386 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001820864346397294, + "loss": 0.7476, + "step": 387 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018198204246983632, + "loss": 0.8021, + "step": 388 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001818773771150888, + "loss": 0.8439, + "step": 389 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018177243892425818, + "loss": 0.7912, + "step": 390 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018166722824702506, + "loss": 0.7333, + "step": 391 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018156174543397792, + "loss": 0.9418, + "step": 392 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001814559908366121, + "loss": 0.9187, + "step": 393 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018134996480732865, + "loss": 0.9454, + "step": 394 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018124366769943303, + "loss": 0.86, + "step": 395 + }, + { + "epoch": 0.22, + "learning_rate": 0.000181137099867134, + "loss": 1.0415, + "step": 396 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018103026166554253, + "loss": 0.8858, + "step": 397 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018092315345067043, + "loss": 0.9148, + "step": 398 + }, + { + "epoch": 0.22, + "learning_rate": 0.00018081577557942934, + "loss": 0.8514, + "step": 399 + }, + { + "epoch": 0.23, + "learning_rate": 0.00018070812840962938, + "loss": 0.9579, + "step": 400 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001806002122999781, + "loss": 0.7442, + "step": 401 + }, + { + "epoch": 0.23, + "learning_rate": 0.00018049202761007921, + "loss": 0.8042, + "step": 402 + }, + { + "epoch": 0.23, + "learning_rate": 0.00018038357470043145, + "loss": 0.8746, + "step": 403 + }, + { + "epoch": 0.23, + "learning_rate": 0.00018027485393242717, + "loss": 0.7722, + "step": 404 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001801658656683515, + "loss": 0.776, + "step": 405 + }, + { + "epoch": 0.23, + "learning_rate": 0.00018005661027138082, + "loss": 0.792, + "step": 406 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017994708810558169, + "loss": 0.8237, + "step": 407 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017983729953590958, + "loss": 0.884, + "step": 408 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001797272449282077, + "loss": 0.8552, + "step": 409 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017961692464920582, + "loss": 0.8579, + "step": 410 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017950633906651896, + "loss": 0.7286, + "step": 411 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001793954885486461, + "loss": 0.8987, + "step": 412 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017928437346496922, + "loss": 1.0588, + "step": 413 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017917299418575183, + "loss": 0.7697, + "step": 414 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017906135108213773, + "loss": 1.4389, + "step": 415 + }, + { + "epoch": 0.23, + "learning_rate": 0.00017894944452614994, + "loss": 1.4422, + "step": 416 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001788372748906894, + "loss": 0.8038, + "step": 417 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017872484254953354, + "loss": 1.1945, + "step": 418 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001786121478773354, + "loss": 0.9607, + "step": 419 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017849919124962197, + "loss": 1.2117, + "step": 420 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017838597304279335, + "loss": 0.9041, + "step": 421 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017827249363412104, + "loss": 0.9118, + "step": 422 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001781587534017472, + "loss": 0.9351, + "step": 423 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001780447527246829, + "loss": 0.9212, + "step": 424 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001779304919828072, + "loss": 1.0091, + "step": 425 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017781597155686572, + "loss": 0.7895, + "step": 426 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017770119182846942, + "loss": 0.9084, + "step": 427 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017758615318009334, + "loss": 0.7537, + "step": 428 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017747085599507524, + "loss": 0.8332, + "step": 429 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017735530065761447, + "loss": 0.8075, + "step": 430 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017723948755277063, + "loss": 0.6878, + "step": 431 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001771234170664621, + "loss": 0.7899, + "step": 432 + }, + { + "epoch": 0.24, + "learning_rate": 0.00017700708958546507, + "loss": 0.9414, + "step": 433 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001768905054974121, + "loss": 0.916, + "step": 434 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017677366519079074, + "loss": 0.7936, + "step": 435 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017665656905494246, + "loss": 1.0211, + "step": 436 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017653921748006106, + "loss": 0.9869, + "step": 437 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001764216108571916, + "loss": 0.8318, + "step": 438 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001763037495782291, + "loss": 0.8525, + "step": 439 + }, + { + "epoch": 0.25, + "learning_rate": 0.000176185634035917, + "loss": 0.727, + "step": 440 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017606726462384616, + "loss": 0.6808, + "step": 441 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001759486417364533, + "loss": 0.8207, + "step": 442 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017582976576901982, + "loss": 1.3319, + "step": 443 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001757106371176704, + "loss": 0.8764, + "step": 444 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017559125617937186, + "loss": 0.7765, + "step": 445 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017547162335193156, + "loss": 0.9151, + "step": 446 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017535173903399627, + "loss": 0.8388, + "step": 447 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001752316036250508, + "loss": 1.3553, + "step": 448 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017511121752541664, + "loss": 1.3692, + "step": 449 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017499058113625067, + "loss": 0.8119, + "step": 450 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001748696948595438, + "loss": 1.4146, + "step": 451 + }, + { + "epoch": 0.25, + "learning_rate": 0.00017474855909811954, + "loss": 0.7804, + "step": 452 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017462717425563288, + "loss": 0.8669, + "step": 453 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017450554073656873, + "loss": 0.8945, + "step": 454 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017438365894624069, + "loss": 0.792, + "step": 455 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017426152929078963, + "loss": 1.0091, + "step": 456 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017413915217718236, + "loss": 1.4239, + "step": 457 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001740165280132103, + "loss": 0.8425, + "step": 458 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001738936572074882, + "loss": 0.8218, + "step": 459 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017377054016945247, + "loss": 0.816, + "step": 460 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017364717730936025, + "loss": 0.8223, + "step": 461 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017352356903828763, + "loss": 0.9625, + "step": 462 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017339971576812863, + "loss": 0.6561, + "step": 463 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017327561791159358, + "loss": 0.9804, + "step": 464 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017315127588220786, + "loss": 1.0037, + "step": 465 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001730266900943105, + "loss": 0.8521, + "step": 466 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017290186096305274, + "loss": 0.7289, + "step": 467 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001727767889043968, + "loss": 0.8317, + "step": 468 + }, + { + "epoch": 0.26, + "learning_rate": 0.00017265147433511433, + "loss": 1.1957, + "step": 469 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001725259176727851, + "loss": 0.6649, + "step": 470 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017240011933579557, + "loss": 0.9748, + "step": 471 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017227407974333757, + "loss": 0.8207, + "step": 472 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017214779931540682, + "loss": 0.9306, + "step": 473 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017202127847280158, + "loss": 0.7632, + "step": 474 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001718945176371212, + "loss": 0.8285, + "step": 475 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017176751723076483, + "loss": 0.8848, + "step": 476 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017164027767692982, + "loss": 0.7527, + "step": 477 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017151279939961052, + "loss": 0.7575, + "step": 478 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017138508282359667, + "loss": 0.7868, + "step": 479 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017125712837447215, + "loss": 1.3437, + "step": 480 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017112893647861348, + "loss": 1.0907, + "step": 481 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017100050756318843, + "loss": 0.7053, + "step": 482 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001708718420561545, + "loss": 0.9962, + "step": 483 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017074294038625767, + "loss": 0.7606, + "step": 484 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017061380298303086, + "loss": 0.7304, + "step": 485 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017048443027679243, + "loss": 0.905, + "step": 486 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001703548226986449, + "loss": 0.7237, + "step": 487 + }, + { + "epoch": 0.27, + "learning_rate": 0.00017022498068047342, + "loss": 1.3507, + "step": 488 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001700949046549444, + "loss": 0.8248, + "step": 489 + }, + { + "epoch": 0.28, + "learning_rate": 0.000169964595055504, + "loss": 0.6065, + "step": 490 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001698340523163766, + "loss": 0.9477, + "step": 491 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016970327687256364, + "loss": 0.838, + "step": 492 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016957226915984184, + "loss": 0.9129, + "step": 493 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016944102961476197, + "loss": 0.8447, + "step": 494 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016930955867464737, + "loss": 1.2855, + "step": 495 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001691778567775923, + "loss": 0.7336, + "step": 496 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001690459243624608, + "loss": 0.9687, + "step": 497 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016891376186888493, + "loss": 1.2448, + "step": 498 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016878136973726347, + "loss": 1.0912, + "step": 499 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016864874840876045, + "loss": 1.0546, + "step": 500 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001685158983253035, + "loss": 1.1884, + "step": 501 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016838281992958277, + "loss": 0.8389, + "step": 502 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016824951366504895, + "loss": 0.8537, + "step": 503 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001681159799759122, + "loss": 1.26, + "step": 504 + }, + { + "epoch": 0.28, + "learning_rate": 0.00016798221930714043, + "loss": 0.7816, + "step": 505 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016784823210445806, + "loss": 0.7435, + "step": 506 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016771401881434409, + "loss": 0.9165, + "step": 507 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001675795798840312, + "loss": 1.3665, + "step": 508 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001674449157615038, + "loss": 0.8221, + "step": 509 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016731002689549673, + "loss": 0.8232, + "step": 510 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016717491373549373, + "loss": 0.9572, + "step": 511 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016703957673172592, + "loss": 0.8271, + "step": 512 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016690401633517039, + "loss": 0.8954, + "step": 513 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016676823299754856, + "loss": 0.8934, + "step": 514 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016663222717132477, + "loss": 0.7789, + "step": 515 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016649599930970482, + "loss": 0.8003, + "step": 516 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016635954986663428, + "loss": 0.8889, + "step": 517 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001662228792967971, + "loss": 0.7812, + "step": 518 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016608598805561414, + "loss": 0.775, + "step": 519 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016594887659924154, + "loss": 0.767, + "step": 520 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016581154538456935, + "loss": 0.8532, + "step": 521 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016567399486921972, + "loss": 0.9951, + "step": 522 + }, + { + "epoch": 0.29, + "learning_rate": 0.00016553622551154578, + "loss": 0.9263, + "step": 523 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016539823777062971, + "loss": 0.9887, + "step": 524 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016526003210628155, + "loss": 0.8265, + "step": 525 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016512160897903745, + "loss": 0.7895, + "step": 526 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016498296885015815, + "loss": 0.7976, + "step": 527 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016484411218162758, + "loss": 0.8204, + "step": 528 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016470503943615122, + "loss": 1.0237, + "step": 529 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001645657510771545, + "loss": 0.8149, + "step": 530 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016442624756878143, + "loss": 0.8061, + "step": 531 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016428652937589293, + "loss": 0.7127, + "step": 532 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001641465969640652, + "loss": 0.9787, + "step": 533 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001640064507995884, + "loss": 0.8259, + "step": 534 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016386609134946492, + "loss": 0.7714, + "step": 535 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016372551908140786, + "loss": 0.8236, + "step": 536 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016358473446383945, + "loss": 0.7797, + "step": 537 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001634437379658896, + "loss": 0.7276, + "step": 538 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016330253005739423, + "loss": 0.7547, + "step": 539 + }, + { + "epoch": 0.3, + "learning_rate": 0.00016316111120889376, + "loss": 1.2456, + "step": 540 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001630194818916314, + "loss": 1.0233, + "step": 541 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016287764257755182, + "loss": 0.8906, + "step": 542 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016273559373929946, + "loss": 0.8644, + "step": 543 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001625933358502168, + "loss": 1.12, + "step": 544 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016245086938434307, + "loss": 0.7379, + "step": 545 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016230819481641246, + "loss": 0.8455, + "step": 546 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001621653126218527, + "loss": 0.8303, + "step": 547 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016202222327678327, + "loss": 0.9664, + "step": 548 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016187892725801398, + "loss": 0.8248, + "step": 549 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001617354250430434, + "loss": 0.784, + "step": 550 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016159171711005698, + "loss": 0.8401, + "step": 551 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016144780393792594, + "loss": 1.4073, + "step": 552 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016130368600620528, + "loss": 0.8576, + "step": 553 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016115936379513222, + "loss": 0.709, + "step": 554 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001610148377856249, + "loss": 1.0814, + "step": 555 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001608701084592804, + "loss": 0.8172, + "step": 556 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016072517629837335, + "loss": 0.7244, + "step": 557 + }, + { + "epoch": 0.31, + "learning_rate": 0.00016058004178585433, + "loss": 0.7825, + "step": 558 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001604347054053481, + "loss": 0.6828, + "step": 559 + }, + { + "epoch": 0.32, + "learning_rate": 0.00016028916764115224, + "loss": 0.8382, + "step": 560 + }, + { + "epoch": 0.32, + "learning_rate": 0.00016014342897823522, + "loss": 1.0926, + "step": 561 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015999748990223512, + "loss": 0.7837, + "step": 562 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015985135089945774, + "loss": 1.0089, + "step": 563 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015970501245687508, + "loss": 0.9058, + "step": 564 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015955847506212383, + "loss": 0.8571, + "step": 565 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015941173920350348, + "loss": 0.85, + "step": 566 + }, + { + "epoch": 0.32, + "learning_rate": 0.000159264805369975, + "loss": 0.9401, + "step": 567 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015911767405115903, + "loss": 0.9412, + "step": 568 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001589703457373342, + "loss": 1.2477, + "step": 569 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015882282091943565, + "loss": 0.7708, + "step": 570 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015867510008905333, + "loss": 0.8532, + "step": 571 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001585271837384303, + "loss": 1.1211, + "step": 572 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015837907236046115, + "loss": 0.9289, + "step": 573 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015823076644869038, + "loss": 0.9935, + "step": 574 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015808226649731072, + "loss": 0.8153, + "step": 575 + }, + { + "epoch": 0.32, + "learning_rate": 0.00015793357300116151, + "loss": 0.8336, + "step": 576 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015778468645572696, + "loss": 1.003, + "step": 577 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015763560735713463, + "loss": 0.748, + "step": 578 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015748633620215368, + "loss": 0.8705, + "step": 579 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015733687348819334, + "loss": 0.8002, + "step": 580 + }, + { + "epoch": 0.33, + "learning_rate": 0.000157187219713301, + "loss": 0.8333, + "step": 581 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015703737537616085, + "loss": 1.3624, + "step": 582 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015688734097609204, + "loss": 0.8917, + "step": 583 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015673711701304704, + "loss": 1.1263, + "step": 584 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015658670398761002, + "loss": 0.9955, + "step": 585 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015643610240099508, + "loss": 0.8186, + "step": 586 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015628531275504477, + "loss": 0.7674, + "step": 587 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015613433555222828, + "loss": 1.0408, + "step": 588 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015598317129563967, + "loss": 0.8282, + "step": 589 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001558318204889964, + "loss": 1.1224, + "step": 590 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015568028363663761, + "loss": 0.8067, + "step": 591 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001555285612435223, + "loss": 0.874, + "step": 592 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015537665381522775, + "loss": 0.8293, + "step": 593 + }, + { + "epoch": 0.33, + "learning_rate": 0.00015522456185794787, + "loss": 0.7221, + "step": 594 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015507228587849147, + "loss": 0.8911, + "step": 595 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001549198263842805, + "loss": 1.2569, + "step": 596 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015476718388334848, + "loss": 0.8417, + "step": 597 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015461435888433872, + "loss": 0.9617, + "step": 598 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015446135189650274, + "loss": 0.6472, + "step": 599 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001543081634296984, + "loss": 0.8647, + "step": 600 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015415479399438837, + "loss": 0.8457, + "step": 601 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015400124410163823, + "loss": 0.7784, + "step": 602 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015384751426311504, + "loss": 1.032, + "step": 603 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001536936049910854, + "loss": 0.8277, + "step": 604 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015353951679841386, + "loss": 0.9134, + "step": 605 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015338525019856114, + "loss": 0.7634, + "step": 606 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015323080570558246, + "loss": 0.8142, + "step": 607 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001530761838341259, + "loss": 0.8594, + "step": 608 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015292138509943052, + "loss": 0.8096, + "step": 609 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015276641001732476, + "loss": 0.8135, + "step": 610 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015261125910422476, + "loss": 0.7904, + "step": 611 + }, + { + "epoch": 0.34, + "learning_rate": 0.00015245593287713247, + "loss": 1.1609, + "step": 612 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015230043185363409, + "loss": 1.2596, + "step": 613 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015214475655189825, + "loss": 0.759, + "step": 614 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015198890749067436, + "loss": 0.8159, + "step": 615 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015183288518929084, + "loss": 0.7402, + "step": 616 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015167669016765336, + "loss": 0.8436, + "step": 617 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001515203229462431, + "loss": 0.8034, + "step": 618 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001513637840461152, + "loss": 1.3711, + "step": 619 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015120707398889668, + "loss": 0.7619, + "step": 620 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015105019329678506, + "loss": 0.9544, + "step": 621 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001508931424925464, + "loss": 0.74, + "step": 622 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015073592209951354, + "loss": 0.7063, + "step": 623 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001505785326415846, + "loss": 0.8065, + "step": 624 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001504209746432209, + "loss": 1.0547, + "step": 625 + }, + { + "epoch": 0.35, + "learning_rate": 0.00015026324862944552, + "loss": 0.9022, + "step": 626 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001501053551258413, + "loss": 0.6711, + "step": 627 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001499472946585492, + "loss": 1.3809, + "step": 628 + }, + { + "epoch": 0.35, + "learning_rate": 0.00014978906775426666, + "loss": 0.8689, + "step": 629 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001496306749402456, + "loss": 0.8555, + "step": 630 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001494721167442909, + "loss": 1.0124, + "step": 631 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014931339369475842, + "loss": 0.9591, + "step": 632 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001491545063205535, + "loss": 0.7966, + "step": 633 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014899545515112888, + "loss": 0.7895, + "step": 634 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014883624071648327, + "loss": 0.8954, + "step": 635 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014867686354715927, + "loss": 0.9035, + "step": 636 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001485173241742419, + "loss": 0.8505, + "step": 637 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014835762312935655, + "loss": 0.7879, + "step": 638 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014819776094466742, + "loss": 1.3412, + "step": 639 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001480377381528757, + "loss": 0.9046, + "step": 640 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014787755528721766, + "loss": 0.7757, + "step": 641 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014771721288146306, + "loss": 0.804, + "step": 642 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014755671146991325, + "loss": 1.1423, + "step": 643 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014739605158739941, + "loss": 0.7792, + "step": 644 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001472352337692809, + "loss": 0.7975, + "step": 645 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014707425855144316, + "loss": 1.0372, + "step": 646 + }, + { + "epoch": 0.36, + "learning_rate": 0.00014691312647029635, + "loss": 0.8304, + "step": 647 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014675183806277313, + "loss": 0.6675, + "step": 648 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014659039386632724, + "loss": 0.8444, + "step": 649 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014642879441893145, + "loss": 1.0982, + "step": 650 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001462670402590759, + "loss": 0.9841, + "step": 651 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001461051319257663, + "loss": 0.9167, + "step": 652 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014594306995852207, + "loss": 0.8576, + "step": 653 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014578085489737457, + "loss": 1.044, + "step": 654 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014561848728286532, + "loss": 1.1567, + "step": 655 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001454559676560442, + "loss": 0.9446, + "step": 656 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014529329655846754, + "loss": 1.3375, + "step": 657 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014513047453219665, + "loss": 1.2952, + "step": 658 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014496750211979547, + "loss": 0.9073, + "step": 659 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001448043798643293, + "loss": 0.8585, + "step": 660 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014464110830936258, + "loss": 0.9106, + "step": 661 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014447768799895734, + "loss": 0.6596, + "step": 662 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014431411947767137, + "loss": 0.6683, + "step": 663 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001441504032905562, + "loss": 1.1954, + "step": 664 + }, + { + "epoch": 0.37, + "learning_rate": 0.00014398653998315552, + "loss": 0.7304, + "step": 665 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014382253010150316, + "loss": 0.8847, + "step": 666 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001436583741921215, + "loss": 0.8294, + "step": 667 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014349407280201944, + "loss": 0.8156, + "step": 668 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014332962647869066, + "loss": 0.8993, + "step": 669 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014316503577011178, + "loss": 0.8424, + "step": 670 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014300030122474063, + "loss": 1.0077, + "step": 671 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014283542339151427, + "loss": 0.8677, + "step": 672 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014267040281984726, + "loss": 0.6751, + "step": 673 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014250524005962977, + "loss": 0.7614, + "step": 674 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001423399356612258, + "loss": 0.7395, + "step": 675 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014217449017547132, + "loss": 1.0816, + "step": 676 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014200890415367248, + "loss": 0.7824, + "step": 677 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001418431781476036, + "loss": 0.8916, + "step": 678 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001416773127095057, + "loss": 1.1028, + "step": 679 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014151130839208412, + "loss": 0.7553, + "step": 680 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001413451657485072, + "loss": 0.6484, + "step": 681 + }, + { + "epoch": 0.38, + "learning_rate": 0.00014117888533240423, + "loss": 0.7217, + "step": 682 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001410124676978634, + "loss": 0.8028, + "step": 683 + }, + { + "epoch": 0.39, + "learning_rate": 0.00014084591339943032, + "loss": 0.7917, + "step": 684 + }, + { + "epoch": 0.39, + "learning_rate": 0.00014067922299210595, + "loss": 0.7778, + "step": 685 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001405123970313448, + "loss": 0.8221, + "step": 686 + }, + { + "epoch": 0.39, + "learning_rate": 0.00014034543607305305, + "loss": 1.024, + "step": 687 + }, + { + "epoch": 0.39, + "learning_rate": 0.00014017834067358672, + "loss": 0.829, + "step": 688 + }, + { + "epoch": 0.39, + "learning_rate": 0.00014001111138974996, + "loss": 0.8764, + "step": 689 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013984374877879283, + "loss": 0.8883, + "step": 690 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013967625339840982, + "loss": 0.9232, + "step": 691 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013950862580673783, + "loss": 0.7454, + "step": 692 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013934086656235424, + "loss": 0.7852, + "step": 693 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013917297622427526, + "loss": 0.7646, + "step": 694 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001390049553519538, + "loss": 0.7732, + "step": 695 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013883680450527786, + "loss": 0.6403, + "step": 696 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013866852424456846, + "loss": 0.808, + "step": 697 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013850011513057796, + "loss": 0.9614, + "step": 698 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013833157772448793, + "loss": 1.2961, + "step": 699 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001381629125879076, + "loss": 0.7336, + "step": 700 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013799412028287175, + "loss": 0.8196, + "step": 701 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013782520137183897, + "loss": 0.7323, + "step": 702 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013765615641768964, + "loss": 0.7116, + "step": 703 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013748698598372428, + "loss": 0.8247, + "step": 704 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001373176906336614, + "loss": 0.9065, + "step": 705 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013714827093163585, + "loss": 0.7677, + "step": 706 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001369787274421969, + "loss": 0.7408, + "step": 707 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013680906073030612, + "loss": 0.747, + "step": 708 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013663927136133589, + "loss": 0.7476, + "step": 709 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001364693599010672, + "loss": 0.927, + "step": 710 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013629932691568798, + "loss": 0.6891, + "step": 711 + }, + { + "epoch": 0.4, + "learning_rate": 0.000136129172971791, + "loss": 0.8696, + "step": 712 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001359588986363721, + "loss": 0.8205, + "step": 713 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013578850447682842, + "loss": 0.7585, + "step": 714 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013561799106095621, + "loss": 0.7709, + "step": 715 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013544735895694928, + "loss": 0.7173, + "step": 716 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013527660873339682, + "loss": 0.8324, + "step": 717 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013510574095928167, + "loss": 0.8532, + "step": 718 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013493475620397842, + "loss": 0.9455, + "step": 719 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013476365503725134, + "loss": 0.7647, + "step": 720 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013459243802925276, + "loss": 0.8985, + "step": 721 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013442110575052096, + "loss": 0.8071, + "step": 722 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001342496587719783, + "loss": 0.8594, + "step": 723 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013407809766492935, + "loss": 1.3122, + "step": 724 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013390642300105908, + "loss": 0.8905, + "step": 725 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013373463535243073, + "loss": 0.7611, + "step": 726 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001335627352914842, + "loss": 0.7507, + "step": 727 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013339072339103376, + "loss": 0.7598, + "step": 728 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013321860022426653, + "loss": 0.9462, + "step": 729 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013304636636474033, + "loss": 0.744, + "step": 730 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013287402238638184, + "loss": 0.9065, + "step": 731 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013270156886348474, + "loss": 1.1016, + "step": 732 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013252900637070755, + "loss": 0.5736, + "step": 733 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013235633548307218, + "loss": 0.7388, + "step": 734 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013218355677596154, + "loss": 0.933, + "step": 735 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001320106708251179, + "loss": 0.7731, + "step": 736 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013183767820664088, + "loss": 1.036, + "step": 737 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013166457949698553, + "loss": 0.789, + "step": 738 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013149137527296046, + "loss": 0.8962, + "step": 739 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001313180661117258, + "loss": 0.7209, + "step": 740 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013114465259079152, + "loss": 0.7199, + "step": 741 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001309711352880151, + "loss": 0.7151, + "step": 742 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013079751478160007, + "loss": 0.8211, + "step": 743 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013062379165009372, + "loss": 1.0261, + "step": 744 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013044996647238542, + "loss": 0.8577, + "step": 745 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013027603982770447, + "loss": 0.8477, + "step": 746 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013010201229561838, + "loss": 0.7291, + "step": 747 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012992788445603083, + "loss": 0.7069, + "step": 748 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012975365688917964, + "loss": 0.9096, + "step": 749 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001295793301756351, + "loss": 0.7728, + "step": 750 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012940490489629777, + "loss": 0.8063, + "step": 751 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012923038163239678, + "loss": 0.7136, + "step": 752 + }, + { + "epoch": 0.42, + "learning_rate": 0.00012905576096548758, + "loss": 0.7207, + "step": 753 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001288810434774504, + "loss": 0.7587, + "step": 754 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012870622975048786, + "loss": 0.8364, + "step": 755 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012853132036712357, + "loss": 0.571, + "step": 756 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012835631591019965, + "loss": 1.2064, + "step": 757 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012818121696287515, + "loss": 0.8322, + "step": 758 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012800602410862393, + "loss": 0.8146, + "step": 759 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012783073793123278, + "loss": 0.7418, + "step": 760 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001276553590147995, + "loss": 0.7244, + "step": 761 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001274798879437309, + "loss": 0.9075, + "step": 762 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012730432530274087, + "loss": 0.9277, + "step": 763 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001271286716768484, + "loss": 0.7937, + "step": 764 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012695292765137577, + "loss": 0.6439, + "step": 765 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012677709381194637, + "loss": 0.7473, + "step": 766 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012660117074448293, + "loss": 1.3543, + "step": 767 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012642515903520552, + "loss": 1.0504, + "step": 768 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012624905927062955, + "loss": 0.7844, + "step": 769 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012607287203756387, + "loss": 0.9319, + "step": 770 + }, + { + "epoch": 0.43, + "learning_rate": 0.00012589659792310885, + "loss": 0.8132, + "step": 771 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001257202375146543, + "loss": 0.7019, + "step": 772 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012554379139987764, + "loss": 0.9469, + "step": 773 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001253672601667418, + "loss": 0.6914, + "step": 774 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012519064440349342, + "loss": 0.9497, + "step": 775 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012501394469866076, + "loss": 0.9676, + "step": 776 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012483716164105187, + "loss": 0.9162, + "step": 777 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012466029581975253, + "loss": 0.8334, + "step": 778 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001244833478241243, + "loss": 0.5986, + "step": 779 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001243063182438024, + "loss": 0.8698, + "step": 780 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012412920766869426, + "loss": 0.737, + "step": 781 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012395201668897692, + "loss": 1.1016, + "step": 782 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012377474589509547, + "loss": 0.7145, + "step": 783 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012359739587776091, + "loss": 0.8291, + "step": 784 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012341996722794825, + "loss": 0.9367, + "step": 785 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012324246053689453, + "loss": 0.9221, + "step": 786 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012306487639609687, + "loss": 0.6626, + "step": 787 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012288721539731044, + "loss": 1.0209, + "step": 788 + }, + { + "epoch": 0.44, + "learning_rate": 0.00012270947813254645, + "loss": 0.8634, + "step": 789 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001225316651940704, + "loss": 0.941, + "step": 790 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012235377717439983, + "loss": 1.2792, + "step": 791 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012217581466630255, + "loss": 0.7631, + "step": 792 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012199777826279448, + "loss": 0.938, + "step": 793 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012181966855713798, + "loss": 0.828, + "step": 794 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012164148614283937, + "loss": 0.9448, + "step": 795 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012146323161364754, + "loss": 0.9555, + "step": 796 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012128490556355153, + "loss": 0.9826, + "step": 797 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001211065085867787, + "loss": 0.8737, + "step": 798 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012092804127779285, + "loss": 0.724, + "step": 799 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012074950423129206, + "loss": 0.9347, + "step": 800 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012057089804220687, + "loss": 0.7682, + "step": 801 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001203922233056981, + "loss": 0.7982, + "step": 802 + }, + { + "epoch": 0.45, + "learning_rate": 0.00012021348061715516, + "loss": 0.9748, + "step": 803 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001200346705721937, + "loss": 0.7878, + "step": 804 + }, + { + "epoch": 0.45, + "learning_rate": 0.000119855793766654, + "loss": 0.6317, + "step": 805 + }, + { + "epoch": 0.45, + "learning_rate": 0.00011967685079659863, + "loss": 0.829, + "step": 806 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001194978422583108, + "loss": 0.8489, + "step": 807 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011931876874829209, + "loss": 0.8484, + "step": 808 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011913963086326061, + "loss": 0.7864, + "step": 809 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011896042920014907, + "loss": 0.8398, + "step": 810 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011878116435610255, + "loss": 0.788, + "step": 811 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011860183692847682, + "loss": 0.749, + "step": 812 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011842244751483609, + "loss": 1.0909, + "step": 813 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011824299671295116, + "loss": 0.9441, + "step": 814 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011806348512079741, + "loss": 0.8497, + "step": 815 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011788391333655273, + "loss": 0.7769, + "step": 816 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011770428195859567, + "loss": 0.6826, + "step": 817 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011752459158550322, + "loss": 0.8367, + "step": 818 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011734484281604916, + "loss": 0.7551, + "step": 819 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011716503624920166, + "loss": 0.8194, + "step": 820 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011698517248412166, + "loss": 0.7992, + "step": 821 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011680525212016054, + "loss": 0.9062, + "step": 822 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011662527575685842, + "loss": 0.8486, + "step": 823 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011644524399394194, + "loss": 1.0532, + "step": 824 + }, + { + "epoch": 0.46, + "learning_rate": 0.00011626515743132233, + "loss": 0.7406, + "step": 825 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011608501666909355, + "loss": 0.8136, + "step": 826 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011590482230752996, + "loss": 0.9184, + "step": 827 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011572457494708475, + "loss": 0.6595, + "step": 828 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011554427518838756, + "loss": 0.8759, + "step": 829 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011536392363224268, + "loss": 0.7572, + "step": 830 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011518352087962703, + "loss": 0.7624, + "step": 831 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011500306753168812, + "loss": 0.7308, + "step": 832 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011482256418974204, + "loss": 0.8867, + "step": 833 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011464201145527143, + "loss": 1.2239, + "step": 834 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011446140992992362, + "loss": 0.7615, + "step": 835 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011428076021550849, + "loss": 0.9746, + "step": 836 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001141000629139964, + "loss": 0.7348, + "step": 837 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001139193186275164, + "loss": 0.9122, + "step": 838 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011373852795835405, + "loss": 0.8045, + "step": 839 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001135576915089495, + "loss": 0.7014, + "step": 840 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011337680988189543, + "loss": 1.0354, + "step": 841 + }, + { + "epoch": 0.47, + "learning_rate": 0.00011319588367993508, + "loss": 0.8719, + "step": 842 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001130149135059602, + "loss": 0.7174, + "step": 843 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001128338999630091, + "loss": 0.9047, + "step": 844 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011265284365426454, + "loss": 0.9501, + "step": 845 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011247174518305188, + "loss": 0.8435, + "step": 846 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001122906051528369, + "loss": 0.8896, + "step": 847 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011210942416722392, + "loss": 0.7462, + "step": 848 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011192820282995364, + "loss": 0.6714, + "step": 849 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011174694174490136, + "loss": 0.6543, + "step": 850 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011156564151607474, + "loss": 0.7926, + "step": 851 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001113843027476119, + "loss": 0.8468, + "step": 852 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011120292604377938, + "loss": 0.7742, + "step": 853 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011102151200897006, + "loss": 0.7602, + "step": 854 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011084006124770141, + "loss": 0.6848, + "step": 855 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011065857436461304, + "loss": 1.0019, + "step": 856 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011047705196446514, + "loss": 0.8663, + "step": 857 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011029549465213609, + "loss": 0.862, + "step": 858 + }, + { + "epoch": 0.48, + "learning_rate": 0.00011011390303262071, + "loss": 0.7396, + "step": 859 + }, + { + "epoch": 0.48, + "learning_rate": 0.00010993227771102805, + "loss": 0.8101, + "step": 860 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010975061929257958, + "loss": 0.7328, + "step": 861 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010956892838260695, + "loss": 0.9228, + "step": 862 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010938720558655016, + "loss": 0.7539, + "step": 863 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010920545150995541, + "loss": 0.9107, + "step": 864 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001090236667584731, + "loss": 0.7255, + "step": 865 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010884185193785599, + "loss": 0.8278, + "step": 866 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010866000765395687, + "loss": 0.767, + "step": 867 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010847813451272686, + "loss": 0.7239, + "step": 868 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010829623312021307, + "loss": 0.7715, + "step": 869 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010811430408255692, + "loss": 1.265, + "step": 870 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010793234800599182, + "loss": 0.7945, + "step": 871 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010775036549684139, + "loss": 0.7773, + "step": 872 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010756835716151722, + "loss": 0.6833, + "step": 873 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010738632360651704, + "loss": 0.8564, + "step": 874 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010720426543842261, + "loss": 0.7287, + "step": 875 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010702218326389766, + "loss": 1.04, + "step": 876 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010684007768968598, + "loss": 0.8489, + "step": 877 + }, + { + "epoch": 0.49, + "learning_rate": 0.00010665794932260928, + "loss": 0.8004, + "step": 878 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010647579876956526, + "loss": 0.8323, + "step": 879 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010629362663752547, + "loss": 0.7133, + "step": 880 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010611143353353348, + "loss": 0.795, + "step": 881 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010592922006470269, + "loss": 0.744, + "step": 882 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010574698683821434, + "loss": 0.8919, + "step": 883 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010556473446131554, + "loss": 0.7654, + "step": 884 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010538246354131718, + "loss": 0.8182, + "step": 885 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010520017468559202, + "loss": 0.8344, + "step": 886 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010501786850157247, + "loss": 0.8392, + "step": 887 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010483554559674879, + "loss": 0.812, + "step": 888 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010465320657866688, + "loss": 0.6947, + "step": 889 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010447085205492636, + "loss": 0.7484, + "step": 890 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010428848263317854, + "loss": 0.9025, + "step": 891 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010410609892112435, + "loss": 0.7653, + "step": 892 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010392370152651234, + "loss": 0.7782, + "step": 893 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010374129105713664, + "loss": 0.7214, + "step": 894 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010355886812083501, + "loss": 0.7799, + "step": 895 + }, + { + "epoch": 0.5, + "learning_rate": 0.00010337643332548668, + "loss": 0.7359, + "step": 896 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010319398727901044, + "loss": 0.7248, + "step": 897 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010301153058936252, + "loss": 0.7559, + "step": 898 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010282906386453474, + "loss": 0.749, + "step": 899 + }, + { + "epoch": 0.51, + "learning_rate": 0.0001026465877125522, + "loss": 0.9649, + "step": 900 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010246410274147151, + "loss": 0.6759, + "step": 901 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010228160955937867, + "loss": 0.7119, + "step": 902 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010209910877438696, + "loss": 1.3652, + "step": 903 + }, + { + "epoch": 0.51, + "learning_rate": 0.0001019166009946351, + "loss": 0.8787, + "step": 904 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010173408682828503, + "loss": 1.0258, + "step": 905 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010155156688352006, + "loss": 0.8565, + "step": 906 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010136904176854266, + "loss": 0.8563, + "step": 907 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010118651209157261, + "loss": 0.861, + "step": 908 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010100397846084487, + "loss": 0.7176, + "step": 909 + }, + { + "epoch": 0.51, + "learning_rate": 0.0001008214414846075, + "loss": 0.8259, + "step": 910 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010063890177111978, + "loss": 0.7398, + "step": 911 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010045635992865019, + "loss": 0.7487, + "step": 912 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010027381656547413, + "loss": 0.6734, + "step": 913 + }, + { + "epoch": 0.51, + "learning_rate": 0.00010009127228987214, + "loss": 0.7231, + "step": 914 + }, + { + "epoch": 0.52, + "learning_rate": 9.990872771012788e-05, + "loss": 0.7961, + "step": 915 + }, + { + "epoch": 0.52, + "learning_rate": 9.97261834345259e-05, + "loss": 0.6519, + "step": 916 + }, + { + "epoch": 0.52, + "learning_rate": 9.954364007134984e-05, + "loss": 0.7494, + "step": 917 + }, + { + "epoch": 0.52, + "learning_rate": 9.936109822888023e-05, + "loss": 0.8155, + "step": 918 + }, + { + "epoch": 0.52, + "learning_rate": 9.917855851539252e-05, + "loss": 0.9403, + "step": 919 + }, + { + "epoch": 0.52, + "learning_rate": 9.899602153915517e-05, + "loss": 1.0906, + "step": 920 + }, + { + "epoch": 0.52, + "learning_rate": 9.88134879084274e-05, + "loss": 0.8357, + "step": 921 + }, + { + "epoch": 0.52, + "learning_rate": 9.863095823145735e-05, + "loss": 0.7773, + "step": 922 + }, + { + "epoch": 0.52, + "learning_rate": 9.844843311647994e-05, + "loss": 0.833, + "step": 923 + }, + { + "epoch": 0.52, + "learning_rate": 9.826591317171497e-05, + "loss": 0.634, + "step": 924 + }, + { + "epoch": 0.52, + "learning_rate": 9.808339900536495e-05, + "loss": 1.3448, + "step": 925 + }, + { + "epoch": 0.52, + "learning_rate": 9.790089122561309e-05, + "loss": 0.6122, + "step": 926 + }, + { + "epoch": 0.52, + "learning_rate": 9.771839044062138e-05, + "loss": 0.8677, + "step": 927 + }, + { + "epoch": 0.52, + "learning_rate": 9.753589725852852e-05, + "loss": 0.6828, + "step": 928 + }, + { + "epoch": 0.52, + "learning_rate": 9.735341228744782e-05, + "loss": 0.8646, + "step": 929 + }, + { + "epoch": 0.52, + "learning_rate": 9.717093613546528e-05, + "loss": 0.9494, + "step": 930 + }, + { + "epoch": 0.52, + "learning_rate": 9.698846941063749e-05, + "loss": 0.8121, + "step": 931 + }, + { + "epoch": 0.53, + "learning_rate": 9.68060127209896e-05, + "loss": 0.6661, + "step": 932 + }, + { + "epoch": 0.53, + "learning_rate": 9.662356667451336e-05, + "loss": 0.8467, + "step": 933 + }, + { + "epoch": 0.53, + "learning_rate": 9.644113187916501e-05, + "loss": 0.8629, + "step": 934 + }, + { + "epoch": 0.53, + "learning_rate": 9.625870894286338e-05, + "loss": 0.835, + "step": 935 + }, + { + "epoch": 0.53, + "learning_rate": 9.607629847348769e-05, + "loss": 0.799, + "step": 936 + }, + { + "epoch": 0.53, + "learning_rate": 9.589390107887568e-05, + "loss": 1.2037, + "step": 937 + }, + { + "epoch": 0.53, + "learning_rate": 9.57115173668215e-05, + "loss": 0.7077, + "step": 938 + }, + { + "epoch": 0.53, + "learning_rate": 9.552914794507364e-05, + "loss": 0.6415, + "step": 939 + }, + { + "epoch": 0.53, + "learning_rate": 9.534679342133314e-05, + "loss": 0.743, + "step": 940 + }, + { + "epoch": 0.53, + "learning_rate": 9.516445440325122e-05, + "loss": 0.8041, + "step": 941 + }, + { + "epoch": 0.53, + "learning_rate": 9.498213149842752e-05, + "loss": 0.7966, + "step": 942 + }, + { + "epoch": 0.53, + "learning_rate": 9.479982531440797e-05, + "loss": 0.6566, + "step": 943 + }, + { + "epoch": 0.53, + "learning_rate": 9.46175364586828e-05, + "loss": 0.7146, + "step": 944 + }, + { + "epoch": 0.53, + "learning_rate": 9.443526553868448e-05, + "loss": 1.1755, + "step": 945 + }, + { + "epoch": 0.53, + "learning_rate": 9.425301316178571e-05, + "loss": 0.7073, + "step": 946 + }, + { + "epoch": 0.53, + "learning_rate": 9.407077993529735e-05, + "loss": 1.1089, + "step": 947 + }, + { + "epoch": 0.53, + "learning_rate": 9.388856646646657e-05, + "loss": 0.7497, + "step": 948 + }, + { + "epoch": 0.53, + "learning_rate": 9.370637336247456e-05, + "loss": 0.8511, + "step": 949 + }, + { + "epoch": 0.54, + "learning_rate": 9.352420123043479e-05, + "loss": 0.7657, + "step": 950 + }, + { + "epoch": 0.54, + "learning_rate": 9.334205067739075e-05, + "loss": 0.8039, + "step": 951 + }, + { + "epoch": 0.54, + "learning_rate": 9.315992231031403e-05, + "loss": 0.8257, + "step": 952 + }, + { + "epoch": 0.54, + "learning_rate": 9.297781673610235e-05, + "loss": 0.7441, + "step": 953 + }, + { + "epoch": 0.54, + "learning_rate": 9.279573456157741e-05, + "loss": 0.8553, + "step": 954 + }, + { + "epoch": 0.54, + "learning_rate": 9.261367639348297e-05, + "loss": 1.2339, + "step": 955 + }, + { + "epoch": 0.54, + "learning_rate": 9.24316428384828e-05, + "loss": 0.7821, + "step": 956 + }, + { + "epoch": 0.54, + "learning_rate": 9.224963450315865e-05, + "loss": 0.6806, + "step": 957 + }, + { + "epoch": 0.54, + "learning_rate": 9.20676519940082e-05, + "loss": 1.1895, + "step": 958 + }, + { + "epoch": 0.54, + "learning_rate": 9.18856959174431e-05, + "loss": 1.1241, + "step": 959 + }, + { + "epoch": 0.54, + "learning_rate": 9.170376687978694e-05, + "loss": 0.8757, + "step": 960 + }, + { + "epoch": 0.54, + "learning_rate": 9.152186548727316e-05, + "loss": 1.0129, + "step": 961 + }, + { + "epoch": 0.54, + "learning_rate": 9.133999234604312e-05, + "loss": 0.7279, + "step": 962 + }, + { + "epoch": 0.54, + "learning_rate": 9.115814806214402e-05, + "loss": 0.6364, + "step": 963 + }, + { + "epoch": 0.54, + "learning_rate": 9.09763332415269e-05, + "loss": 0.6729, + "step": 964 + }, + { + "epoch": 0.54, + "learning_rate": 9.079454849004463e-05, + "loss": 0.9003, + "step": 965 + }, + { + "epoch": 0.54, + "learning_rate": 9.061279441344985e-05, + "loss": 0.6094, + "step": 966 + }, + { + "epoch": 0.54, + "learning_rate": 9.043107161739308e-05, + "loss": 1.2343, + "step": 967 + }, + { + "epoch": 0.55, + "learning_rate": 9.024938070742047e-05, + "loss": 0.781, + "step": 968 + }, + { + "epoch": 0.55, + "learning_rate": 9.006772228897198e-05, + "loss": 0.7707, + "step": 969 + }, + { + "epoch": 0.55, + "learning_rate": 8.988609696737936e-05, + "loss": 0.7868, + "step": 970 + }, + { + "epoch": 0.55, + "learning_rate": 8.970450534786397e-05, + "loss": 0.9101, + "step": 971 + }, + { + "epoch": 0.55, + "learning_rate": 8.95229480355349e-05, + "loss": 0.8388, + "step": 972 + }, + { + "epoch": 0.55, + "learning_rate": 8.934142563538699e-05, + "loss": 0.7094, + "step": 973 + }, + { + "epoch": 0.55, + "learning_rate": 8.915993875229862e-05, + "loss": 0.7161, + "step": 974 + }, + { + "epoch": 0.55, + "learning_rate": 8.897848799102995e-05, + "loss": 0.8132, + "step": 975 + }, + { + "epoch": 0.55, + "learning_rate": 8.879707395622066e-05, + "loss": 0.8077, + "step": 976 + }, + { + "epoch": 0.55, + "learning_rate": 8.861569725238811e-05, + "loss": 0.6754, + "step": 977 + }, + { + "epoch": 0.55, + "learning_rate": 8.843435848392527e-05, + "loss": 0.7358, + "step": 978 + }, + { + "epoch": 0.55, + "learning_rate": 8.825305825509864e-05, + "loss": 1.2141, + "step": 979 + }, + { + "epoch": 0.55, + "learning_rate": 8.807179717004638e-05, + "loss": 0.647, + "step": 980 + }, + { + "epoch": 0.55, + "learning_rate": 8.789057583277612e-05, + "loss": 0.7078, + "step": 981 + }, + { + "epoch": 0.55, + "learning_rate": 8.770939484716311e-05, + "loss": 0.6399, + "step": 982 + }, + { + "epoch": 0.55, + "learning_rate": 8.752825481694813e-05, + "loss": 0.8801, + "step": 983 + }, + { + "epoch": 0.55, + "learning_rate": 8.734715634573547e-05, + "loss": 0.7671, + "step": 984 + }, + { + "epoch": 0.55, + "learning_rate": 8.716610003699092e-05, + "loss": 0.7765, + "step": 985 + }, + { + "epoch": 0.56, + "learning_rate": 8.698508649403979e-05, + "loss": 0.9701, + "step": 986 + }, + { + "epoch": 0.56, + "learning_rate": 8.680411632006493e-05, + "loss": 0.6288, + "step": 987 + }, + { + "epoch": 0.56, + "learning_rate": 8.66231901181046e-05, + "loss": 0.6859, + "step": 988 + }, + { + "epoch": 0.56, + "learning_rate": 8.644230849105053e-05, + "loss": 0.7826, + "step": 989 + }, + { + "epoch": 0.56, + "learning_rate": 8.626147204164599e-05, + "loss": 0.9293, + "step": 990 + }, + { + "epoch": 0.56, + "learning_rate": 8.608068137248367e-05, + "loss": 0.9309, + "step": 991 + }, + { + "epoch": 0.56, + "learning_rate": 8.589993708600364e-05, + "loss": 0.6977, + "step": 992 + }, + { + "epoch": 0.56, + "learning_rate": 8.571923978449156e-05, + "loss": 0.6077, + "step": 993 + }, + { + "epoch": 0.56, + "learning_rate": 8.553859007007638e-05, + "loss": 0.677, + "step": 994 + }, + { + "epoch": 0.56, + "learning_rate": 8.535798854472858e-05, + "loss": 1.2033, + "step": 995 + }, + { + "epoch": 0.56, + "learning_rate": 8.517743581025799e-05, + "loss": 0.6451, + "step": 996 + }, + { + "epoch": 0.56, + "learning_rate": 8.49969324683119e-05, + "loss": 0.7049, + "step": 997 + }, + { + "epoch": 0.56, + "learning_rate": 8.4816479120373e-05, + "loss": 0.9854, + "step": 998 + }, + { + "epoch": 0.56, + "learning_rate": 8.463607636775734e-05, + "loss": 0.6911, + "step": 999 + }, + { + "epoch": 0.56, + "learning_rate": 8.445572481161248e-05, + "loss": 0.8871, + "step": 1000 + }, + { + "epoch": 0.56, + "learning_rate": 8.427542505291527e-05, + "loss": 0.7191, + "step": 1001 + }, + { + "epoch": 0.56, + "learning_rate": 8.409517769247005e-05, + "loss": 0.8305, + "step": 1002 + }, + { + "epoch": 0.57, + "learning_rate": 8.391498333090647e-05, + "loss": 1.0712, + "step": 1003 + }, + { + "epoch": 0.57, + "learning_rate": 8.373484256867766e-05, + "loss": 0.7403, + "step": 1004 + }, + { + "epoch": 0.57, + "learning_rate": 8.355475600605808e-05, + "loss": 0.6185, + "step": 1005 + }, + { + "epoch": 0.57, + "learning_rate": 8.337472424314157e-05, + "loss": 0.8923, + "step": 1006 + }, + { + "epoch": 0.57, + "learning_rate": 8.319474787983945e-05, + "loss": 1.1525, + "step": 1007 + }, + { + "epoch": 0.57, + "learning_rate": 8.301482751587835e-05, + "loss": 0.8489, + "step": 1008 + }, + { + "epoch": 0.57, + "learning_rate": 8.283496375079838e-05, + "loss": 0.7807, + "step": 1009 + }, + { + "epoch": 0.57, + "learning_rate": 8.265515718395089e-05, + "loss": 0.7583, + "step": 1010 + }, + { + "epoch": 0.57, + "learning_rate": 8.247540841449683e-05, + "loss": 0.7964, + "step": 1011 + }, + { + "epoch": 0.57, + "learning_rate": 8.22957180414044e-05, + "loss": 0.6783, + "step": 1012 + }, + { + "epoch": 0.57, + "learning_rate": 8.211608666344732e-05, + "loss": 0.7656, + "step": 1013 + }, + { + "epoch": 0.57, + "learning_rate": 8.193651487920262e-05, + "loss": 0.8755, + "step": 1014 + }, + { + "epoch": 0.57, + "learning_rate": 8.175700328704887e-05, + "loss": 0.652, + "step": 1015 + }, + { + "epoch": 0.57, + "learning_rate": 8.157755248516395e-05, + "loss": 0.7741, + "step": 1016 + }, + { + "epoch": 0.57, + "learning_rate": 8.139816307152319e-05, + "loss": 0.6736, + "step": 1017 + }, + { + "epoch": 0.57, + "learning_rate": 8.121883564389747e-05, + "loss": 1.0194, + "step": 1018 + }, + { + "epoch": 0.57, + "learning_rate": 8.103957079985096e-05, + "loss": 0.8974, + "step": 1019 + }, + { + "epoch": 0.57, + "learning_rate": 8.08603691367394e-05, + "loss": 1.1692, + "step": 1020 + }, + { + "epoch": 0.58, + "learning_rate": 8.068123125170794e-05, + "loss": 1.1772, + "step": 1021 + }, + { + "epoch": 0.58, + "learning_rate": 8.050215774168923e-05, + "loss": 1.0947, + "step": 1022 + }, + { + "epoch": 0.58, + "learning_rate": 8.032314920340138e-05, + "loss": 0.7914, + "step": 1023 + }, + { + "epoch": 0.58, + "learning_rate": 8.014420623334602e-05, + "loss": 0.7016, + "step": 1024 + }, + { + "epoch": 0.58, + "learning_rate": 7.996532942780631e-05, + "loss": 0.7949, + "step": 1025 + }, + { + "epoch": 0.58, + "learning_rate": 7.978651938284485e-05, + "loss": 0.7486, + "step": 1026 + }, + { + "epoch": 0.58, + "learning_rate": 7.960777669430188e-05, + "loss": 0.6871, + "step": 1027 + }, + { + "epoch": 0.58, + "learning_rate": 7.942910195779313e-05, + "loss": 0.6712, + "step": 1028 + }, + { + "epoch": 0.58, + "learning_rate": 7.925049576870794e-05, + "loss": 0.8071, + "step": 1029 + }, + { + "epoch": 0.58, + "learning_rate": 7.907195872220719e-05, + "loss": 1.3063, + "step": 1030 + }, + { + "epoch": 0.58, + "learning_rate": 7.889349141322136e-05, + "loss": 0.803, + "step": 1031 + }, + { + "epoch": 0.58, + "learning_rate": 7.871509443644852e-05, + "loss": 0.8878, + "step": 1032 + }, + { + "epoch": 0.58, + "learning_rate": 7.85367683863525e-05, + "loss": 0.8877, + "step": 1033 + }, + { + "epoch": 0.58, + "learning_rate": 7.835851385716064e-05, + "loss": 0.9689, + "step": 1034 + }, + { + "epoch": 0.58, + "learning_rate": 7.818033144286207e-05, + "loss": 0.7097, + "step": 1035 + }, + { + "epoch": 0.58, + "learning_rate": 7.800222173720553e-05, + "loss": 0.9477, + "step": 1036 + }, + { + "epoch": 0.58, + "learning_rate": 7.782418533369749e-05, + "loss": 0.7715, + "step": 1037 + }, + { + "epoch": 0.58, + "learning_rate": 7.764622282560018e-05, + "loss": 0.8333, + "step": 1038 + }, + { + "epoch": 0.59, + "learning_rate": 7.746833480592961e-05, + "loss": 0.8228, + "step": 1039 + }, + { + "epoch": 0.59, + "learning_rate": 7.729052186745358e-05, + "loss": 0.7362, + "step": 1040 + }, + { + "epoch": 0.59, + "learning_rate": 7.71127846026896e-05, + "loss": 0.6737, + "step": 1041 + }, + { + "epoch": 0.59, + "learning_rate": 7.693512360390314e-05, + "loss": 1.0346, + "step": 1042 + }, + { + "epoch": 0.59, + "learning_rate": 7.675753946310549e-05, + "loss": 0.6864, + "step": 1043 + }, + { + "epoch": 0.59, + "learning_rate": 7.658003277205176e-05, + "loss": 1.2056, + "step": 1044 + }, + { + "epoch": 0.59, + "learning_rate": 7.640260412223912e-05, + "loss": 0.7851, + "step": 1045 + }, + { + "epoch": 0.59, + "learning_rate": 7.622525410490453e-05, + "loss": 0.784, + "step": 1046 + }, + { + "epoch": 0.59, + "learning_rate": 7.604798331102307e-05, + "loss": 0.8944, + "step": 1047 + }, + { + "epoch": 0.59, + "learning_rate": 7.587079233130573e-05, + "loss": 1.2137, + "step": 1048 + }, + { + "epoch": 0.59, + "learning_rate": 7.569368175619759e-05, + "loss": 0.7153, + "step": 1049 + }, + { + "epoch": 0.59, + "learning_rate": 7.551665217587576e-05, + "loss": 0.7135, + "step": 1050 + }, + { + "epoch": 0.59, + "learning_rate": 7.53397041802475e-05, + "loss": 0.9567, + "step": 1051 + }, + { + "epoch": 0.59, + "learning_rate": 7.516283835894812e-05, + "loss": 0.8759, + "step": 1052 + }, + { + "epoch": 0.59, + "learning_rate": 7.498605530133926e-05, + "loss": 0.6813, + "step": 1053 + }, + { + "epoch": 0.59, + "learning_rate": 7.480935559650661e-05, + "loss": 0.852, + "step": 1054 + }, + { + "epoch": 0.59, + "learning_rate": 7.463273983325823e-05, + "loss": 0.696, + "step": 1055 + }, + { + "epoch": 0.59, + "learning_rate": 7.445620860012238e-05, + "loss": 0.9231, + "step": 1056 + }, + { + "epoch": 0.6, + "learning_rate": 7.42797624853457e-05, + "loss": 0.8307, + "step": 1057 + }, + { + "epoch": 0.6, + "learning_rate": 7.410340207689116e-05, + "loss": 0.7858, + "step": 1058 + }, + { + "epoch": 0.6, + "learning_rate": 7.392712796243614e-05, + "loss": 0.8062, + "step": 1059 + }, + { + "epoch": 0.6, + "learning_rate": 7.37509407293705e-05, + "loss": 0.7053, + "step": 1060 + }, + { + "epoch": 0.6, + "learning_rate": 7.357484096479452e-05, + "loss": 0.9195, + "step": 1061 + }, + { + "epoch": 0.6, + "learning_rate": 7.339882925551711e-05, + "loss": 0.5775, + "step": 1062 + }, + { + "epoch": 0.6, + "learning_rate": 7.322290618805367e-05, + "loss": 0.7362, + "step": 1063 + }, + { + "epoch": 0.6, + "learning_rate": 7.304707234862425e-05, + "loss": 0.8341, + "step": 1064 + }, + { + "epoch": 0.6, + "learning_rate": 7.28713283231516e-05, + "loss": 0.7233, + "step": 1065 + }, + { + "epoch": 0.6, + "learning_rate": 7.269567469725913e-05, + "loss": 0.9734, + "step": 1066 + }, + { + "epoch": 0.6, + "learning_rate": 7.25201120562691e-05, + "loss": 0.8685, + "step": 1067 + }, + { + "epoch": 0.6, + "learning_rate": 7.23446409852005e-05, + "loss": 0.8805, + "step": 1068 + }, + { + "epoch": 0.6, + "learning_rate": 7.216926206876723e-05, + "loss": 0.7806, + "step": 1069 + }, + { + "epoch": 0.6, + "learning_rate": 7.199397589137609e-05, + "loss": 0.7547, + "step": 1070 + }, + { + "epoch": 0.6, + "learning_rate": 7.181878303712486e-05, + "loss": 1.245, + "step": 1071 + }, + { + "epoch": 0.6, + "learning_rate": 7.164368408980038e-05, + "loss": 0.9564, + "step": 1072 + }, + { + "epoch": 0.6, + "learning_rate": 7.146867963287647e-05, + "loss": 0.8624, + "step": 1073 + }, + { + "epoch": 0.61, + "learning_rate": 7.129377024951216e-05, + "loss": 0.8537, + "step": 1074 + }, + { + "epoch": 0.61, + "learning_rate": 7.111895652254968e-05, + "loss": 0.7774, + "step": 1075 + }, + { + "epoch": 0.61, + "learning_rate": 7.094423903451246e-05, + "loss": 0.8802, + "step": 1076 + }, + { + "epoch": 0.61, + "learning_rate": 7.076961836760327e-05, + "loss": 0.7884, + "step": 1077 + }, + { + "epoch": 0.61, + "learning_rate": 7.059509510370224e-05, + "loss": 0.8482, + "step": 1078 + }, + { + "epoch": 0.61, + "learning_rate": 7.042066982436493e-05, + "loss": 0.793, + "step": 1079 + }, + { + "epoch": 0.61, + "learning_rate": 7.024634311082039e-05, + "loss": 0.7387, + "step": 1080 + }, + { + "epoch": 0.61, + "learning_rate": 7.00721155439692e-05, + "loss": 0.6628, + "step": 1081 + }, + { + "epoch": 0.61, + "learning_rate": 6.989798770438163e-05, + "loss": 0.864, + "step": 1082 + }, + { + "epoch": 0.61, + "learning_rate": 6.972396017229555e-05, + "loss": 0.931, + "step": 1083 + }, + { + "epoch": 0.61, + "learning_rate": 6.95500335276146e-05, + "loss": 0.9182, + "step": 1084 + }, + { + "epoch": 0.61, + "learning_rate": 6.93762083499063e-05, + "loss": 1.0012, + "step": 1085 + }, + { + "epoch": 0.61, + "learning_rate": 6.920248521839994e-05, + "loss": 0.6599, + "step": 1086 + }, + { + "epoch": 0.61, + "learning_rate": 6.902886471198491e-05, + "loss": 0.7585, + "step": 1087 + }, + { + "epoch": 0.61, + "learning_rate": 6.885534740920849e-05, + "loss": 0.8336, + "step": 1088 + }, + { + "epoch": 0.61, + "learning_rate": 6.868193388827417e-05, + "loss": 0.7118, + "step": 1089 + }, + { + "epoch": 0.61, + "learning_rate": 6.850862472703957e-05, + "loss": 0.951, + "step": 1090 + }, + { + "epoch": 0.61, + "learning_rate": 6.833542050301446e-05, + "loss": 0.7977, + "step": 1091 + }, + { + "epoch": 0.62, + "learning_rate": 6.816232179335913e-05, + "loss": 1.2463, + "step": 1092 + }, + { + "epoch": 0.62, + "learning_rate": 6.798932917488214e-05, + "loss": 0.8156, + "step": 1093 + }, + { + "epoch": 0.62, + "learning_rate": 6.781644322403849e-05, + "loss": 0.6278, + "step": 1094 + }, + { + "epoch": 0.62, + "learning_rate": 6.764366451692787e-05, + "loss": 0.6757, + "step": 1095 + }, + { + "epoch": 0.62, + "learning_rate": 6.74709936292925e-05, + "loss": 0.7331, + "step": 1096 + }, + { + "epoch": 0.62, + "learning_rate": 6.729843113651533e-05, + "loss": 0.8496, + "step": 1097 + }, + { + "epoch": 0.62, + "learning_rate": 6.712597761361818e-05, + "loss": 0.9914, + "step": 1098 + }, + { + "epoch": 0.62, + "learning_rate": 6.695363363525968e-05, + "loss": 0.7282, + "step": 1099 + }, + { + "epoch": 0.62, + "learning_rate": 6.678139977573348e-05, + "loss": 1.2082, + "step": 1100 + }, + { + "epoch": 0.62, + "learning_rate": 6.660927660896627e-05, + "loss": 0.8302, + "step": 1101 + }, + { + "epoch": 0.62, + "learning_rate": 6.643726470851584e-05, + "loss": 0.7812, + "step": 1102 + }, + { + "epoch": 0.62, + "learning_rate": 6.626536464756928e-05, + "loss": 1.3404, + "step": 1103 + }, + { + "epoch": 0.62, + "learning_rate": 6.609357699894094e-05, + "loss": 0.8111, + "step": 1104 + }, + { + "epoch": 0.62, + "learning_rate": 6.592190233507067e-05, + "loss": 0.7004, + "step": 1105 + }, + { + "epoch": 0.62, + "learning_rate": 6.575034122802174e-05, + "loss": 0.8852, + "step": 1106 + }, + { + "epoch": 0.62, + "learning_rate": 6.557889424947907e-05, + "loss": 0.6664, + "step": 1107 + }, + { + "epoch": 0.62, + "learning_rate": 6.540756197074726e-05, + "loss": 0.8352, + "step": 1108 + }, + { + "epoch": 0.62, + "learning_rate": 6.523634496274866e-05, + "loss": 0.8103, + "step": 1109 + }, + { + "epoch": 0.63, + "learning_rate": 6.506524379602161e-05, + "loss": 0.8449, + "step": 1110 + }, + { + "epoch": 0.63, + "learning_rate": 6.489425904071831e-05, + "loss": 0.8378, + "step": 1111 + }, + { + "epoch": 0.63, + "learning_rate": 6.472339126660318e-05, + "loss": 0.708, + "step": 1112 + }, + { + "epoch": 0.63, + "learning_rate": 6.455264104305072e-05, + "loss": 0.6392, + "step": 1113 + }, + { + "epoch": 0.63, + "learning_rate": 6.438200893904382e-05, + "loss": 0.8068, + "step": 1114 + }, + { + "epoch": 0.63, + "learning_rate": 6.421149552317162e-05, + "loss": 0.8159, + "step": 1115 + }, + { + "epoch": 0.63, + "learning_rate": 6.404110136362793e-05, + "loss": 0.8443, + "step": 1116 + }, + { + "epoch": 0.63, + "learning_rate": 6.387082702820904e-05, + "loss": 0.6619, + "step": 1117 + }, + { + "epoch": 0.63, + "learning_rate": 6.370067308431204e-05, + "loss": 0.5855, + "step": 1118 + }, + { + "epoch": 0.63, + "learning_rate": 6.35306400989328e-05, + "loss": 0.6532, + "step": 1119 + }, + { + "epoch": 0.63, + "learning_rate": 6.336072863866414e-05, + "loss": 0.69, + "step": 1120 + }, + { + "epoch": 0.63, + "learning_rate": 6.319093926969392e-05, + "loss": 0.6479, + "step": 1121 + }, + { + "epoch": 0.63, + "learning_rate": 6.302127255780314e-05, + "loss": 0.9962, + "step": 1122 + }, + { + "epoch": 0.63, + "learning_rate": 6.285172906836416e-05, + "loss": 0.7883, + "step": 1123 + }, + { + "epoch": 0.63, + "learning_rate": 6.268230936633861e-05, + "loss": 0.9452, + "step": 1124 + }, + { + "epoch": 0.63, + "learning_rate": 6.251301401627575e-05, + "loss": 0.7097, + "step": 1125 + }, + { + "epoch": 0.63, + "learning_rate": 6.234384358231035e-05, + "loss": 0.7686, + "step": 1126 + }, + { + "epoch": 0.63, + "learning_rate": 6.217479862816104e-05, + "loss": 0.7341, + "step": 1127 + }, + { + "epoch": 0.64, + "learning_rate": 6.200587971712827e-05, + "loss": 0.7494, + "step": 1128 + }, + { + "epoch": 0.64, + "learning_rate": 6.183708741209241e-05, + "loss": 0.791, + "step": 1129 + }, + { + "epoch": 0.64, + "learning_rate": 6.166842227551209e-05, + "loss": 0.8723, + "step": 1130 + }, + { + "epoch": 0.64, + "learning_rate": 6.149988486942207e-05, + "loss": 0.6656, + "step": 1131 + }, + { + "epoch": 0.64, + "learning_rate": 6.133147575543155e-05, + "loss": 0.7851, + "step": 1132 + }, + { + "epoch": 0.64, + "learning_rate": 6.116319549472213e-05, + "loss": 0.6059, + "step": 1133 + }, + { + "epoch": 0.64, + "learning_rate": 6.099504464804621e-05, + "loss": 0.6957, + "step": 1134 + }, + { + "epoch": 0.64, + "learning_rate": 6.08270237757248e-05, + "loss": 0.7432, + "step": 1135 + }, + { + "epoch": 0.64, + "learning_rate": 6.065913343764581e-05, + "loss": 0.8713, + "step": 1136 + }, + { + "epoch": 0.64, + "learning_rate": 6.0491374193262226e-05, + "loss": 0.7453, + "step": 1137 + }, + { + "epoch": 0.64, + "learning_rate": 6.032374660159023e-05, + "loss": 0.6517, + "step": 1138 + }, + { + "epoch": 0.64, + "learning_rate": 6.0156251221207206e-05, + "loss": 0.707, + "step": 1139 + }, + { + "epoch": 0.64, + "learning_rate": 5.998888861025007e-05, + "loss": 0.8519, + "step": 1140 + }, + { + "epoch": 0.64, + "learning_rate": 5.982165932641328e-05, + "loss": 0.8042, + "step": 1141 + }, + { + "epoch": 0.64, + "learning_rate": 5.965456392694697e-05, + "loss": 0.7355, + "step": 1142 + }, + { + "epoch": 0.64, + "learning_rate": 5.948760296865523e-05, + "loss": 0.7415, + "step": 1143 + }, + { + "epoch": 0.64, + "learning_rate": 5.9320777007894056e-05, + "loss": 0.7645, + "step": 1144 + }, + { + "epoch": 0.65, + "learning_rate": 5.915408660056969e-05, + "loss": 0.7685, + "step": 1145 + }, + { + "epoch": 0.65, + "learning_rate": 5.8987532302136617e-05, + "loss": 0.7363, + "step": 1146 + }, + { + "epoch": 0.65, + "learning_rate": 5.882111466759581e-05, + "loss": 0.76, + "step": 1147 + }, + { + "epoch": 0.65, + "learning_rate": 5.865483425149281e-05, + "loss": 0.8771, + "step": 1148 + }, + { + "epoch": 0.65, + "learning_rate": 5.84886916079159e-05, + "loss": 0.8025, + "step": 1149 + }, + { + "epoch": 0.65, + "learning_rate": 5.832268729049435e-05, + "loss": 0.7262, + "step": 1150 + }, + { + "epoch": 0.65, + "learning_rate": 5.815682185239639e-05, + "loss": 0.9002, + "step": 1151 + }, + { + "epoch": 0.65, + "learning_rate": 5.799109584632751e-05, + "loss": 0.6659, + "step": 1152 + }, + { + "epoch": 0.65, + "learning_rate": 5.782550982452866e-05, + "loss": 0.8896, + "step": 1153 + }, + { + "epoch": 0.65, + "learning_rate": 5.76600643387742e-05, + "loss": 0.7628, + "step": 1154 + }, + { + "epoch": 0.65, + "learning_rate": 5.749475994037024e-05, + "loss": 0.7253, + "step": 1155 + }, + { + "epoch": 0.65, + "learning_rate": 5.732959718015276e-05, + "loss": 0.7756, + "step": 1156 + }, + { + "epoch": 0.65, + "learning_rate": 5.716457660848574e-05, + "loss": 0.7273, + "step": 1157 + }, + { + "epoch": 0.65, + "learning_rate": 5.699969877525939e-05, + "loss": 0.6803, + "step": 1158 + }, + { + "epoch": 0.65, + "learning_rate": 5.6834964229888254e-05, + "loss": 0.9369, + "step": 1159 + }, + { + "epoch": 0.65, + "learning_rate": 5.6670373521309414e-05, + "loss": 1.4763, + "step": 1160 + }, + { + "epoch": 0.65, + "learning_rate": 5.650592719798059e-05, + "loss": 0.8925, + "step": 1161 + }, + { + "epoch": 0.65, + "learning_rate": 5.6341625807878515e-05, + "loss": 0.741, + "step": 1162 + }, + { + "epoch": 0.66, + "learning_rate": 5.617746989849686e-05, + "loss": 0.6336, + "step": 1163 + }, + { + "epoch": 0.66, + "learning_rate": 5.601346001684453e-05, + "loss": 0.8073, + "step": 1164 + }, + { + "epoch": 0.66, + "learning_rate": 5.58495967094438e-05, + "loss": 0.7732, + "step": 1165 + }, + { + "epoch": 0.66, + "learning_rate": 5.568588052232864e-05, + "loss": 0.7729, + "step": 1166 + }, + { + "epoch": 0.66, + "learning_rate": 5.552231200104265e-05, + "loss": 0.8639, + "step": 1167 + }, + { + "epoch": 0.66, + "learning_rate": 5.535889169063746e-05, + "loss": 1.1933, + "step": 1168 + }, + { + "epoch": 0.66, + "learning_rate": 5.519562013567074e-05, + "loss": 0.7513, + "step": 1169 + }, + { + "epoch": 0.66, + "learning_rate": 5.5032497880204516e-05, + "loss": 0.6787, + "step": 1170 + }, + { + "epoch": 0.66, + "learning_rate": 5.486952546780335e-05, + "loss": 0.6883, + "step": 1171 + }, + { + "epoch": 0.66, + "learning_rate": 5.4706703441532435e-05, + "loss": 0.8568, + "step": 1172 + }, + { + "epoch": 0.66, + "learning_rate": 5.454403234395584e-05, + "loss": 0.7288, + "step": 1173 + }, + { + "epoch": 0.66, + "learning_rate": 5.438151271713472e-05, + "loss": 0.796, + "step": 1174 + }, + { + "epoch": 0.66, + "learning_rate": 5.421914510262542e-05, + "loss": 0.6233, + "step": 1175 + }, + { + "epoch": 0.66, + "learning_rate": 5.4056930041477926e-05, + "loss": 0.6704, + "step": 1176 + }, + { + "epoch": 0.66, + "learning_rate": 5.389486807423374e-05, + "loss": 0.7369, + "step": 1177 + }, + { + "epoch": 0.66, + "learning_rate": 5.37329597409241e-05, + "loss": 0.8298, + "step": 1178 + }, + { + "epoch": 0.66, + "learning_rate": 5.3571205581068586e-05, + "loss": 0.7091, + "step": 1179 + }, + { + "epoch": 0.66, + "learning_rate": 5.3409606133672805e-05, + "loss": 0.7377, + "step": 1180 + }, + { + "epoch": 0.67, + "learning_rate": 5.32481619372269e-05, + "loss": 0.6684, + "step": 1181 + }, + { + "epoch": 0.67, + "learning_rate": 5.308687352970371e-05, + "loss": 0.7677, + "step": 1182 + }, + { + "epoch": 0.67, + "learning_rate": 5.2925741448556834e-05, + "loss": 0.654, + "step": 1183 + }, + { + "epoch": 0.67, + "learning_rate": 5.276476623071913e-05, + "loss": 0.8953, + "step": 1184 + }, + { + "epoch": 0.67, + "learning_rate": 5.260394841260059e-05, + "loss": 0.6554, + "step": 1185 + }, + { + "epoch": 0.67, + "learning_rate": 5.2443288530086785e-05, + "loss": 0.6928, + "step": 1186 + }, + { + "epoch": 0.67, + "learning_rate": 5.228278711853698e-05, + "loss": 0.949, + "step": 1187 + }, + { + "epoch": 0.67, + "learning_rate": 5.212244471278234e-05, + "loss": 0.6176, + "step": 1188 + }, + { + "epoch": 0.67, + "learning_rate": 5.1962261847124314e-05, + "loss": 0.7151, + "step": 1189 + }, + { + "epoch": 0.67, + "learning_rate": 5.1802239055332593e-05, + "loss": 0.8021, + "step": 1190 + }, + { + "epoch": 0.67, + "learning_rate": 5.164237687064348e-05, + "loss": 0.922, + "step": 1191 + }, + { + "epoch": 0.67, + "learning_rate": 5.148267582575812e-05, + "loss": 1.1719, + "step": 1192 + }, + { + "epoch": 0.67, + "learning_rate": 5.132313645284072e-05, + "loss": 0.7822, + "step": 1193 + }, + { + "epoch": 0.67, + "learning_rate": 5.1163759283516755e-05, + "loss": 0.8073, + "step": 1194 + }, + { + "epoch": 0.67, + "learning_rate": 5.1004544848871113e-05, + "loss": 0.9652, + "step": 1195 + }, + { + "epoch": 0.67, + "learning_rate": 5.0845493679446524e-05, + "loss": 0.8506, + "step": 1196 + }, + { + "epoch": 0.67, + "learning_rate": 5.0686606305241536e-05, + "loss": 0.5911, + "step": 1197 + }, + { + "epoch": 0.67, + "learning_rate": 5.052788325570913e-05, + "loss": 0.7214, + "step": 1198 + }, + { + "epoch": 0.68, + "learning_rate": 5.036932505975442e-05, + "loss": 0.7009, + "step": 1199 + }, + { + "epoch": 0.68, + "learning_rate": 5.021093224573339e-05, + "loss": 0.7813, + "step": 1200 + }, + { + "epoch": 0.68, + "learning_rate": 5.005270534145081e-05, + "loss": 0.7713, + "step": 1201 + }, + { + "epoch": 0.68, + "learning_rate": 4.9894644874158746e-05, + "loss": 0.5524, + "step": 1202 + }, + { + "epoch": 0.68, + "learning_rate": 4.973675137055451e-05, + "loss": 0.9035, + "step": 1203 + }, + { + "epoch": 0.68, + "learning_rate": 4.9579025356779116e-05, + "loss": 0.8986, + "step": 1204 + }, + { + "epoch": 0.68, + "learning_rate": 4.942146735841541e-05, + "loss": 0.8919, + "step": 1205 + }, + { + "epoch": 0.68, + "learning_rate": 4.926407790048646e-05, + "loss": 0.8009, + "step": 1206 + }, + { + "epoch": 0.68, + "learning_rate": 4.910685750745364e-05, + "loss": 0.8372, + "step": 1207 + }, + { + "epoch": 0.68, + "learning_rate": 4.894980670321496e-05, + "loss": 0.88, + "step": 1208 + }, + { + "epoch": 0.68, + "learning_rate": 4.8792926011103344e-05, + "loss": 0.7772, + "step": 1209 + }, + { + "epoch": 0.68, + "learning_rate": 4.863621595388481e-05, + "loss": 0.6813, + "step": 1210 + }, + { + "epoch": 0.68, + "learning_rate": 4.847967705375689e-05, + "loss": 0.6814, + "step": 1211 + }, + { + "epoch": 0.68, + "learning_rate": 4.8323309832346666e-05, + "loss": 1.1277, + "step": 1212 + }, + { + "epoch": 0.68, + "learning_rate": 4.816711481070918e-05, + "loss": 0.7837, + "step": 1213 + }, + { + "epoch": 0.68, + "learning_rate": 4.8011092509325665e-05, + "loss": 0.6197, + "step": 1214 + }, + { + "epoch": 0.68, + "learning_rate": 4.785524344810174e-05, + "loss": 0.7878, + "step": 1215 + }, + { + "epoch": 0.69, + "learning_rate": 4.7699568146365923e-05, + "loss": 0.8079, + "step": 1216 + }, + { + "epoch": 0.69, + "learning_rate": 4.7544067122867544e-05, + "loss": 0.653, + "step": 1217 + }, + { + "epoch": 0.69, + "learning_rate": 4.7388740895775253e-05, + "loss": 0.6598, + "step": 1218 + }, + { + "epoch": 0.69, + "learning_rate": 4.723358998267524e-05, + "loss": 0.9466, + "step": 1219 + }, + { + "epoch": 0.69, + "learning_rate": 4.707861490056952e-05, + "loss": 0.7171, + "step": 1220 + }, + { + "epoch": 0.69, + "learning_rate": 4.692381616587415e-05, + "loss": 0.8317, + "step": 1221 + }, + { + "epoch": 0.69, + "learning_rate": 4.676919429441758e-05, + "loss": 0.7442, + "step": 1222 + }, + { + "epoch": 0.69, + "learning_rate": 4.661474980143889e-05, + "loss": 0.8542, + "step": 1223 + }, + { + "epoch": 0.69, + "learning_rate": 4.646048320158617e-05, + "loss": 0.7098, + "step": 1224 + }, + { + "epoch": 0.69, + "learning_rate": 4.630639500891463e-05, + "loss": 0.7172, + "step": 1225 + }, + { + "epoch": 0.69, + "learning_rate": 4.615248573688499e-05, + "loss": 0.7384, + "step": 1226 + }, + { + "epoch": 0.69, + "learning_rate": 4.599875589836181e-05, + "loss": 0.6196, + "step": 1227 + }, + { + "epoch": 0.69, + "learning_rate": 4.584520600561165e-05, + "loss": 0.6813, + "step": 1228 + }, + { + "epoch": 0.69, + "learning_rate": 4.5691836570301605e-05, + "loss": 0.8495, + "step": 1229 + }, + { + "epoch": 0.69, + "learning_rate": 4.553864810349727e-05, + "loss": 0.8749, + "step": 1230 + }, + { + "epoch": 0.69, + "learning_rate": 4.538564111566129e-05, + "loss": 1.2387, + "step": 1231 + }, + { + "epoch": 0.69, + "learning_rate": 4.5232816116651564e-05, + "loss": 0.6926, + "step": 1232 + }, + { + "epoch": 0.69, + "learning_rate": 4.5080173615719513e-05, + "loss": 0.6915, + "step": 1233 + }, + { + "epoch": 0.7, + "learning_rate": 4.492771412150855e-05, + "loss": 0.6305, + "step": 1234 + }, + { + "epoch": 0.7, + "learning_rate": 4.477543814205214e-05, + "loss": 0.729, + "step": 1235 + }, + { + "epoch": 0.7, + "learning_rate": 4.462334618477227e-05, + "loss": 0.8001, + "step": 1236 + }, + { + "epoch": 0.7, + "learning_rate": 4.44714387564777e-05, + "loss": 0.8624, + "step": 1237 + }, + { + "epoch": 0.7, + "learning_rate": 4.4319716363362395e-05, + "loss": 0.7888, + "step": 1238 + }, + { + "epoch": 0.7, + "learning_rate": 4.416817951100359e-05, + "loss": 1.1895, + "step": 1239 + }, + { + "epoch": 0.7, + "learning_rate": 4.401682870436039e-05, + "loss": 0.7076, + "step": 1240 + }, + { + "epoch": 0.7, + "learning_rate": 4.386566444777176e-05, + "loss": 0.9692, + "step": 1241 + }, + { + "epoch": 0.7, + "learning_rate": 4.371468724495524e-05, + "loss": 0.7307, + "step": 1242 + }, + { + "epoch": 0.7, + "learning_rate": 4.356389759900495e-05, + "loss": 0.7183, + "step": 1243 + }, + { + "epoch": 0.7, + "learning_rate": 4.341329601239005e-05, + "loss": 0.801, + "step": 1244 + }, + { + "epoch": 0.7, + "learning_rate": 4.326288298695301e-05, + "loss": 0.6987, + "step": 1245 + }, + { + "epoch": 0.7, + "learning_rate": 4.311265902390798e-05, + "loss": 0.7158, + "step": 1246 + }, + { + "epoch": 0.7, + "learning_rate": 4.296262462383916e-05, + "loss": 0.7609, + "step": 1247 + }, + { + "epoch": 0.7, + "learning_rate": 4.281278028669902e-05, + "loss": 0.7812, + "step": 1248 + }, + { + "epoch": 0.7, + "learning_rate": 4.2663126511806695e-05, + "loss": 0.7929, + "step": 1249 + }, + { + "epoch": 0.7, + "learning_rate": 4.251366379784629e-05, + "loss": 0.7697, + "step": 1250 + }, + { + "epoch": 0.7, + "learning_rate": 4.236439264286538e-05, + "loss": 0.7162, + "step": 1251 + }, + { + "epoch": 0.71, + "learning_rate": 4.221531354427306e-05, + "loss": 0.6982, + "step": 1252 + }, + { + "epoch": 0.71, + "learning_rate": 4.2066426998838516e-05, + "loss": 0.8633, + "step": 1253 + }, + { + "epoch": 0.71, + "learning_rate": 4.1917733502689304e-05, + "loss": 0.7189, + "step": 1254 + }, + { + "epoch": 0.71, + "learning_rate": 4.176923355130962e-05, + "loss": 1.191, + "step": 1255 + }, + { + "epoch": 0.71, + "learning_rate": 4.1620927639538864e-05, + "loss": 0.6681, + "step": 1256 + }, + { + "epoch": 0.71, + "learning_rate": 4.147281626156973e-05, + "loss": 0.6732, + "step": 1257 + }, + { + "epoch": 0.71, + "learning_rate": 4.132489991094668e-05, + "loss": 0.6049, + "step": 1258 + }, + { + "epoch": 0.71, + "learning_rate": 4.117717908056435e-05, + "loss": 1.1005, + "step": 1259 + }, + { + "epoch": 0.71, + "learning_rate": 4.102965426266578e-05, + "loss": 0.8842, + "step": 1260 + }, + { + "epoch": 0.71, + "learning_rate": 4.0882325948841e-05, + "loss": 0.6485, + "step": 1261 + }, + { + "epoch": 0.71, + "learning_rate": 4.0735194630025017e-05, + "loss": 0.7956, + "step": 1262 + }, + { + "epoch": 0.71, + "learning_rate": 4.058826079649654e-05, + "loss": 0.6693, + "step": 1263 + }, + { + "epoch": 0.71, + "learning_rate": 4.0441524937876216e-05, + "loss": 0.6803, + "step": 1264 + }, + { + "epoch": 0.71, + "learning_rate": 4.029498754312495e-05, + "loss": 0.6943, + "step": 1265 + }, + { + "epoch": 0.71, + "learning_rate": 4.0148649100542314e-05, + "loss": 0.8999, + "step": 1266 + }, + { + "epoch": 0.71, + "learning_rate": 4.000251009776491e-05, + "loss": 0.6775, + "step": 1267 + }, + { + "epoch": 0.71, + "learning_rate": 3.9856571021764764e-05, + "loss": 0.7986, + "step": 1268 + }, + { + "epoch": 0.71, + "learning_rate": 3.971083235884777e-05, + "loss": 0.8054, + "step": 1269 + }, + { + "epoch": 0.72, + "learning_rate": 3.95652945946519e-05, + "loss": 1.2107, + "step": 1270 + }, + { + "epoch": 0.72, + "learning_rate": 3.94199582141457e-05, + "loss": 0.5779, + "step": 1271 + }, + { + "epoch": 0.72, + "learning_rate": 3.9274823701626686e-05, + "loss": 0.5977, + "step": 1272 + }, + { + "epoch": 0.72, + "learning_rate": 3.912989154071961e-05, + "loss": 0.712, + "step": 1273 + }, + { + "epoch": 0.72, + "learning_rate": 3.898516221437512e-05, + "loss": 0.8499, + "step": 1274 + }, + { + "epoch": 0.72, + "learning_rate": 3.884063620486779e-05, + "loss": 0.8122, + "step": 1275 + }, + { + "epoch": 0.72, + "learning_rate": 3.869631399379476e-05, + "loss": 0.7614, + "step": 1276 + }, + { + "epoch": 0.72, + "learning_rate": 3.855219606207404e-05, + "loss": 0.7019, + "step": 1277 + }, + { + "epoch": 0.72, + "learning_rate": 3.8408282889943006e-05, + "loss": 0.8213, + "step": 1278 + }, + { + "epoch": 0.72, + "learning_rate": 3.826457495695662e-05, + "loss": 0.6838, + "step": 1279 + }, + { + "epoch": 0.72, + "learning_rate": 3.812107274198601e-05, + "loss": 0.9081, + "step": 1280 + }, + { + "epoch": 0.72, + "learning_rate": 3.797777672321674e-05, + "loss": 0.7745, + "step": 1281 + }, + { + "epoch": 0.72, + "learning_rate": 3.783468737814732e-05, + "loss": 0.6556, + "step": 1282 + }, + { + "epoch": 0.72, + "learning_rate": 3.769180518358756e-05, + "loss": 0.7071, + "step": 1283 + }, + { + "epoch": 0.72, + "learning_rate": 3.754913061565699e-05, + "loss": 0.6592, + "step": 1284 + }, + { + "epoch": 0.72, + "learning_rate": 3.7406664149783266e-05, + "loss": 0.8203, + "step": 1285 + }, + { + "epoch": 0.72, + "learning_rate": 3.726440626070058e-05, + "loss": 0.8143, + "step": 1286 + }, + { + "epoch": 0.73, + "learning_rate": 3.712235742244819e-05, + "loss": 0.7371, + "step": 1287 + }, + { + "epoch": 0.73, + "learning_rate": 3.698051810836862e-05, + "loss": 0.7613, + "step": 1288 + }, + { + "epoch": 0.73, + "learning_rate": 3.683888879110629e-05, + "loss": 0.8131, + "step": 1289 + }, + { + "epoch": 0.73, + "learning_rate": 3.6697469942605756e-05, + "loss": 0.8962, + "step": 1290 + }, + { + "epoch": 0.73, + "learning_rate": 3.65562620341104e-05, + "loss": 0.752, + "step": 1291 + }, + { + "epoch": 0.73, + "learning_rate": 3.641526553616058e-05, + "loss": 0.7432, + "step": 1292 + }, + { + "epoch": 0.73, + "learning_rate": 3.627448091859219e-05, + "loss": 0.7085, + "step": 1293 + }, + { + "epoch": 0.73, + "learning_rate": 3.613390865053512e-05, + "loss": 0.7702, + "step": 1294 + }, + { + "epoch": 0.73, + "learning_rate": 3.5993549200411594e-05, + "loss": 0.9452, + "step": 1295 + }, + { + "epoch": 0.73, + "learning_rate": 3.5853403035934796e-05, + "loss": 0.6424, + "step": 1296 + }, + { + "epoch": 0.73, + "learning_rate": 3.571347062410708e-05, + "loss": 0.6489, + "step": 1297 + }, + { + "epoch": 0.73, + "learning_rate": 3.5573752431218555e-05, + "loss": 0.6594, + "step": 1298 + }, + { + "epoch": 0.73, + "learning_rate": 3.5434248922845505e-05, + "loss": 0.933, + "step": 1299 + }, + { + "epoch": 0.73, + "learning_rate": 3.5294960563848776e-05, + "loss": 0.7299, + "step": 1300 + }, + { + "epoch": 0.73, + "learning_rate": 3.515588781837241e-05, + "loss": 0.7209, + "step": 1301 + }, + { + "epoch": 0.73, + "learning_rate": 3.501703114984186e-05, + "loss": 1.1838, + "step": 1302 + }, + { + "epoch": 0.73, + "learning_rate": 3.487839102096258e-05, + "loss": 0.882, + "step": 1303 + }, + { + "epoch": 0.73, + "learning_rate": 3.473996789371846e-05, + "loss": 0.641, + "step": 1304 + }, + { + "epoch": 0.74, + "learning_rate": 3.46017622293703e-05, + "loss": 0.7765, + "step": 1305 + }, + { + "epoch": 0.74, + "learning_rate": 3.446377448845426e-05, + "loss": 0.9985, + "step": 1306 + }, + { + "epoch": 0.74, + "learning_rate": 3.4326005130780305e-05, + "loss": 1.0759, + "step": 1307 + }, + { + "epoch": 0.74, + "learning_rate": 3.4188454615430674e-05, + "loss": 0.6849, + "step": 1308 + }, + { + "epoch": 0.74, + "learning_rate": 3.405112340075845e-05, + "loss": 0.6083, + "step": 1309 + }, + { + "epoch": 0.74, + "learning_rate": 3.3914011944385884e-05, + "loss": 1.2482, + "step": 1310 + }, + { + "epoch": 0.74, + "learning_rate": 3.377712070320294e-05, + "loss": 0.7582, + "step": 1311 + }, + { + "epoch": 0.74, + "learning_rate": 3.364045013336577e-05, + "loss": 0.7463, + "step": 1312 + }, + { + "epoch": 0.74, + "learning_rate": 3.350400069029518e-05, + "loss": 0.7687, + "step": 1313 + }, + { + "epoch": 0.74, + "learning_rate": 3.336777282867523e-05, + "loss": 1.123, + "step": 1314 + }, + { + "epoch": 0.74, + "learning_rate": 3.323176700245146e-05, + "loss": 0.8186, + "step": 1315 + }, + { + "epoch": 0.74, + "learning_rate": 3.3095983664829645e-05, + "loss": 0.7585, + "step": 1316 + }, + { + "epoch": 0.74, + "learning_rate": 3.296042326827408e-05, + "loss": 0.6138, + "step": 1317 + }, + { + "epoch": 0.74, + "learning_rate": 3.282508626450628e-05, + "loss": 1.3862, + "step": 1318 + }, + { + "epoch": 0.74, + "learning_rate": 3.2689973104503266e-05, + "loss": 0.9298, + "step": 1319 + }, + { + "epoch": 0.74, + "learning_rate": 3.255508423849619e-05, + "loss": 0.8358, + "step": 1320 + }, + { + "epoch": 0.74, + "learning_rate": 3.24204201159688e-05, + "loss": 0.7221, + "step": 1321 + }, + { + "epoch": 0.74, + "learning_rate": 3.228598118565588e-05, + "loss": 0.5925, + "step": 1322 + }, + { + "epoch": 0.75, + "learning_rate": 3.2151767895541964e-05, + "loss": 0.7204, + "step": 1323 + }, + { + "epoch": 0.75, + "learning_rate": 3.201778069285958e-05, + "loss": 0.6297, + "step": 1324 + }, + { + "epoch": 0.75, + "learning_rate": 3.1884020024087845e-05, + "loss": 0.8329, + "step": 1325 + }, + { + "epoch": 0.75, + "learning_rate": 3.175048633495108e-05, + "loss": 0.5306, + "step": 1326 + }, + { + "epoch": 0.75, + "learning_rate": 3.1617180070417276e-05, + "loss": 0.6373, + "step": 1327 + }, + { + "epoch": 0.75, + "learning_rate": 3.148410167469652e-05, + "loss": 1.2421, + "step": 1328 + }, + { + "epoch": 0.75, + "learning_rate": 3.1351251591239614e-05, + "loss": 0.7341, + "step": 1329 + }, + { + "epoch": 0.75, + "learning_rate": 3.1218630262736584e-05, + "loss": 0.7945, + "step": 1330 + }, + { + "epoch": 0.75, + "learning_rate": 3.108623813111509e-05, + "loss": 1.1648, + "step": 1331 + }, + { + "epoch": 0.75, + "learning_rate": 3.0954075637539216e-05, + "loss": 0.7461, + "step": 1332 + }, + { + "epoch": 0.75, + "learning_rate": 3.0822143222407706e-05, + "loss": 0.6602, + "step": 1333 + }, + { + "epoch": 0.75, + "learning_rate": 3.069044132535267e-05, + "loss": 0.8502, + "step": 1334 + }, + { + "epoch": 0.75, + "learning_rate": 3.055897038523802e-05, + "loss": 0.7536, + "step": 1335 + }, + { + "epoch": 0.75, + "learning_rate": 3.0427730840158162e-05, + "loss": 0.8572, + "step": 1336 + }, + { + "epoch": 0.75, + "learning_rate": 3.029672312743638e-05, + "loss": 0.7058, + "step": 1337 + }, + { + "epoch": 0.75, + "learning_rate": 3.016594768362341e-05, + "loss": 0.5814, + "step": 1338 + }, + { + "epoch": 0.75, + "learning_rate": 3.0035404944496026e-05, + "loss": 0.9938, + "step": 1339 + }, + { + "epoch": 0.75, + "learning_rate": 2.9905095345055567e-05, + "loss": 0.6144, + "step": 1340 + }, + { + "epoch": 0.76, + "learning_rate": 2.9775019319526565e-05, + "loss": 0.6979, + "step": 1341 + }, + { + "epoch": 0.76, + "learning_rate": 2.9645177301355108e-05, + "loss": 0.5378, + "step": 1342 + }, + { + "epoch": 0.76, + "learning_rate": 2.9515569723207594e-05, + "loss": 0.8483, + "step": 1343 + }, + { + "epoch": 0.76, + "learning_rate": 2.9386197016969175e-05, + "loss": 0.7246, + "step": 1344 + }, + { + "epoch": 0.76, + "learning_rate": 2.9257059613742343e-05, + "loss": 0.6906, + "step": 1345 + }, + { + "epoch": 0.76, + "learning_rate": 2.9128157943845536e-05, + "loss": 0.7399, + "step": 1346 + }, + { + "epoch": 0.76, + "learning_rate": 2.8999492436811625e-05, + "loss": 0.7527, + "step": 1347 + }, + { + "epoch": 0.76, + "learning_rate": 2.887106352138653e-05, + "loss": 0.8131, + "step": 1348 + }, + { + "epoch": 0.76, + "learning_rate": 2.8742871625527868e-05, + "loss": 0.7536, + "step": 1349 + }, + { + "epoch": 0.76, + "learning_rate": 2.8614917176403365e-05, + "loss": 0.6283, + "step": 1350 + }, + { + "epoch": 0.76, + "learning_rate": 2.848720060038952e-05, + "loss": 0.6545, + "step": 1351 + }, + { + "epoch": 0.76, + "learning_rate": 2.8359722323070203e-05, + "loss": 0.7307, + "step": 1352 + }, + { + "epoch": 0.76, + "learning_rate": 2.823248276923517e-05, + "loss": 0.6074, + "step": 1353 + }, + { + "epoch": 0.76, + "learning_rate": 2.810548236287879e-05, + "loss": 0.8015, + "step": 1354 + }, + { + "epoch": 0.76, + "learning_rate": 2.7978721527198437e-05, + "loss": 0.9709, + "step": 1355 + }, + { + "epoch": 0.76, + "learning_rate": 2.7852200684593198e-05, + "loss": 0.6414, + "step": 1356 + }, + { + "epoch": 0.76, + "learning_rate": 2.772592025666245e-05, + "loss": 0.6862, + "step": 1357 + }, + { + "epoch": 0.77, + "learning_rate": 2.7599880664204425e-05, + "loss": 0.7695, + "step": 1358 + }, + { + "epoch": 0.77, + "learning_rate": 2.7474082327214912e-05, + "loss": 0.6348, + "step": 1359 + }, + { + "epoch": 0.77, + "learning_rate": 2.734852566488567e-05, + "loss": 0.611, + "step": 1360 + }, + { + "epoch": 0.77, + "learning_rate": 2.7223211095603207e-05, + "loss": 0.9686, + "step": 1361 + }, + { + "epoch": 0.77, + "learning_rate": 2.7098139036947246e-05, + "loss": 0.6882, + "step": 1362 + }, + { + "epoch": 0.77, + "learning_rate": 2.6973309905689514e-05, + "loss": 0.6687, + "step": 1363 + }, + { + "epoch": 0.77, + "learning_rate": 2.6848724117792147e-05, + "loss": 0.7788, + "step": 1364 + }, + { + "epoch": 0.77, + "learning_rate": 2.672438208840644e-05, + "loss": 0.6981, + "step": 1365 + }, + { + "epoch": 0.77, + "learning_rate": 2.6600284231871396e-05, + "loss": 0.5941, + "step": 1366 + }, + { + "epoch": 0.77, + "learning_rate": 2.6476430961712394e-05, + "loss": 0.7236, + "step": 1367 + }, + { + "epoch": 0.77, + "learning_rate": 2.63528226906398e-05, + "loss": 1.2892, + "step": 1368 + }, + { + "epoch": 0.77, + "learning_rate": 2.6229459830547563e-05, + "loss": 0.6632, + "step": 1369 + }, + { + "epoch": 0.77, + "learning_rate": 2.610634279251185e-05, + "loss": 0.8121, + "step": 1370 + }, + { + "epoch": 0.77, + "learning_rate": 2.5983471986789687e-05, + "loss": 0.8787, + "step": 1371 + }, + { + "epoch": 0.77, + "learning_rate": 2.5860847822817658e-05, + "loss": 0.7232, + "step": 1372 + }, + { + "epoch": 0.77, + "learning_rate": 2.5738470709210406e-05, + "loss": 0.7711, + "step": 1373 + }, + { + "epoch": 0.77, + "learning_rate": 2.561634105375933e-05, + "loss": 0.7352, + "step": 1374 + }, + { + "epoch": 0.77, + "learning_rate": 2.5494459263431257e-05, + "loss": 0.7158, + "step": 1375 + }, + { + "epoch": 0.78, + "learning_rate": 2.5372825744367123e-05, + "loss": 0.9452, + "step": 1376 + }, + { + "epoch": 0.78, + "learning_rate": 2.5251440901880475e-05, + "loss": 0.8272, + "step": 1377 + }, + { + "epoch": 0.78, + "learning_rate": 2.5130305140456246e-05, + "loss": 0.6915, + "step": 1378 + }, + { + "epoch": 0.78, + "learning_rate": 2.5009418863749357e-05, + "loss": 0.6645, + "step": 1379 + }, + { + "epoch": 0.78, + "learning_rate": 2.488878247458336e-05, + "loss": 1.2046, + "step": 1380 + }, + { + "epoch": 0.78, + "learning_rate": 2.476839637494922e-05, + "loss": 0.5982, + "step": 1381 + }, + { + "epoch": 0.78, + "learning_rate": 2.4648260966003746e-05, + "loss": 0.7337, + "step": 1382 + }, + { + "epoch": 0.78, + "learning_rate": 2.4528376648068464e-05, + "loss": 0.8128, + "step": 1383 + }, + { + "epoch": 0.78, + "learning_rate": 2.4408743820628165e-05, + "loss": 1.1632, + "step": 1384 + }, + { + "epoch": 0.78, + "learning_rate": 2.428936288232958e-05, + "loss": 0.6012, + "step": 1385 + }, + { + "epoch": 0.78, + "learning_rate": 2.4170234230980204e-05, + "loss": 0.7624, + "step": 1386 + }, + { + "epoch": 0.78, + "learning_rate": 2.4051358263546743e-05, + "loss": 0.6402, + "step": 1387 + }, + { + "epoch": 0.78, + "learning_rate": 2.3932735376153848e-05, + "loss": 0.7716, + "step": 1388 + }, + { + "epoch": 0.78, + "learning_rate": 2.3814365964082995e-05, + "loss": 0.8992, + "step": 1389 + }, + { + "epoch": 0.78, + "learning_rate": 2.3696250421770917e-05, + "loss": 0.8011, + "step": 1390 + }, + { + "epoch": 0.78, + "learning_rate": 2.35783891428084e-05, + "loss": 1.3291, + "step": 1391 + }, + { + "epoch": 0.78, + "learning_rate": 2.3460782519938972e-05, + "loss": 0.624, + "step": 1392 + }, + { + "epoch": 0.78, + "learning_rate": 2.3343430945057552e-05, + "loss": 0.6847, + "step": 1393 + }, + { + "epoch": 0.79, + "learning_rate": 2.3226334809209248e-05, + "loss": 0.6807, + "step": 1394 + }, + { + "epoch": 0.79, + "learning_rate": 2.3109494502587924e-05, + "loss": 0.8035, + "step": 1395 + }, + { + "epoch": 0.79, + "learning_rate": 2.2992910414534962e-05, + "loss": 0.6652, + "step": 1396 + }, + { + "epoch": 0.79, + "learning_rate": 2.287658293353795e-05, + "loss": 0.764, + "step": 1397 + }, + { + "epoch": 0.79, + "learning_rate": 2.276051244722941e-05, + "loss": 0.8451, + "step": 1398 + }, + { + "epoch": 0.79, + "learning_rate": 2.264469934238552e-05, + "loss": 0.7084, + "step": 1399 + }, + { + "epoch": 0.79, + "learning_rate": 2.2529144004924763e-05, + "loss": 0.6521, + "step": 1400 + }, + { + "epoch": 0.79, + "learning_rate": 2.241384681990668e-05, + "loss": 0.6879, + "step": 1401 + }, + { + "epoch": 0.79, + "learning_rate": 2.229880817153057e-05, + "loss": 0.7663, + "step": 1402 + }, + { + "epoch": 0.79, + "learning_rate": 2.2184028443134275e-05, + "loss": 0.7211, + "step": 1403 + }, + { + "epoch": 0.79, + "learning_rate": 2.206950801719281e-05, + "loss": 0.6841, + "step": 1404 + }, + { + "epoch": 0.79, + "learning_rate": 2.1955247275317114e-05, + "loss": 0.6492, + "step": 1405 + }, + { + "epoch": 0.79, + "learning_rate": 2.1841246598252828e-05, + "loss": 0.8999, + "step": 1406 + }, + { + "epoch": 0.79, + "learning_rate": 2.1727506365878946e-05, + "loss": 0.851, + "step": 1407 + }, + { + "epoch": 0.79, + "learning_rate": 2.16140269572067e-05, + "loss": 0.6837, + "step": 1408 + }, + { + "epoch": 0.79, + "learning_rate": 2.1500808750378053e-05, + "loss": 0.6737, + "step": 1409 + }, + { + "epoch": 0.79, + "learning_rate": 2.1387852122664653e-05, + "loss": 0.7889, + "step": 1410 + }, + { + "epoch": 0.79, + "learning_rate": 2.1275157450466465e-05, + "loss": 0.6176, + "step": 1411 + }, + { + "epoch": 0.8, + "learning_rate": 2.1162725109310644e-05, + "loss": 0.9195, + "step": 1412 + }, + { + "epoch": 0.8, + "learning_rate": 2.1050555473850077e-05, + "loss": 0.7529, + "step": 1413 + }, + { + "epoch": 0.8, + "learning_rate": 2.09386489178623e-05, + "loss": 0.6822, + "step": 1414 + }, + { + "epoch": 0.8, + "learning_rate": 2.082700581424821e-05, + "loss": 0.7278, + "step": 1415 + }, + { + "epoch": 0.8, + "learning_rate": 2.0715626535030773e-05, + "loss": 1.0093, + "step": 1416 + }, + { + "epoch": 0.8, + "learning_rate": 2.0604511451353912e-05, + "loss": 0.7962, + "step": 1417 + }, + { + "epoch": 0.8, + "learning_rate": 2.0493660933481086e-05, + "loss": 0.7193, + "step": 1418 + }, + { + "epoch": 0.8, + "learning_rate": 2.038307535079419e-05, + "loss": 0.6861, + "step": 1419 + }, + { + "epoch": 0.8, + "learning_rate": 2.0272755071792294e-05, + "loss": 0.7653, + "step": 1420 + }, + { + "epoch": 0.8, + "learning_rate": 2.0162700464090435e-05, + "loss": 0.7624, + "step": 1421 + }, + { + "epoch": 0.8, + "learning_rate": 2.0052911894418334e-05, + "loss": 0.7622, + "step": 1422 + }, + { + "epoch": 0.8, + "learning_rate": 1.9943389728619187e-05, + "loss": 0.7902, + "step": 1423 + }, + { + "epoch": 0.8, + "learning_rate": 1.9834134331648514e-05, + "loss": 0.8742, + "step": 1424 + }, + { + "epoch": 0.8, + "learning_rate": 1.972514606757282e-05, + "loss": 0.6926, + "step": 1425 + }, + { + "epoch": 0.8, + "learning_rate": 1.9616425299568576e-05, + "loss": 0.8748, + "step": 1426 + }, + { + "epoch": 0.8, + "learning_rate": 1.9507972389920782e-05, + "loss": 0.7248, + "step": 1427 + }, + { + "epoch": 0.8, + "learning_rate": 1.939978770002191e-05, + "loss": 0.776, + "step": 1428 + }, + { + "epoch": 0.81, + "learning_rate": 1.9291871590370636e-05, + "loss": 0.8257, + "step": 1429 + }, + { + "epoch": 0.81, + "learning_rate": 1.9184224420570683e-05, + "loss": 0.7844, + "step": 1430 + }, + { + "epoch": 0.81, + "learning_rate": 1.9076846549329587e-05, + "loss": 0.9173, + "step": 1431 + }, + { + "epoch": 0.81, + "learning_rate": 1.8969738334457498e-05, + "loss": 0.7085, + "step": 1432 + }, + { + "epoch": 0.81, + "learning_rate": 1.8862900132866e-05, + "loss": 0.6768, + "step": 1433 + }, + { + "epoch": 0.81, + "learning_rate": 1.875633230056699e-05, + "loss": 0.7307, + "step": 1434 + }, + { + "epoch": 0.81, + "learning_rate": 1.8650035192671378e-05, + "loss": 0.7171, + "step": 1435 + }, + { + "epoch": 0.81, + "learning_rate": 1.854400916338791e-05, + "loss": 0.7878, + "step": 1436 + }, + { + "epoch": 0.81, + "learning_rate": 1.8438254566022107e-05, + "loss": 0.7052, + "step": 1437 + }, + { + "epoch": 0.81, + "learning_rate": 1.8332771752974942e-05, + "loss": 0.7995, + "step": 1438 + }, + { + "epoch": 0.81, + "learning_rate": 1.8227561075741806e-05, + "loss": 0.6204, + "step": 1439 + }, + { + "epoch": 0.81, + "learning_rate": 1.8122622884911212e-05, + "loss": 0.8637, + "step": 1440 + }, + { + "epoch": 0.81, + "learning_rate": 1.8017957530163687e-05, + "loss": 0.7789, + "step": 1441 + }, + { + "epoch": 0.81, + "learning_rate": 1.7913565360270612e-05, + "loss": 0.5202, + "step": 1442 + }, + { + "epoch": 0.81, + "learning_rate": 1.7809446723093015e-05, + "loss": 0.7306, + "step": 1443 + }, + { + "epoch": 0.81, + "learning_rate": 1.7705601965580532e-05, + "loss": 0.7822, + "step": 1444 + }, + { + "epoch": 0.81, + "learning_rate": 1.760203143377005e-05, + "loss": 0.7891, + "step": 1445 + }, + { + "epoch": 0.81, + "learning_rate": 1.7498735472784733e-05, + "loss": 0.6841, + "step": 1446 + }, + { + "epoch": 0.82, + "learning_rate": 1.7395714426832775e-05, + "loss": 0.6354, + "step": 1447 + }, + { + "epoch": 0.82, + "learning_rate": 1.729296863920634e-05, + "loss": 0.7875, + "step": 1448 + }, + { + "epoch": 0.82, + "learning_rate": 1.719049845228029e-05, + "loss": 0.6412, + "step": 1449 + }, + { + "epoch": 0.82, + "learning_rate": 1.7088304207511174e-05, + "loss": 0.8256, + "step": 1450 + }, + { + "epoch": 0.82, + "learning_rate": 1.6986386245435947e-05, + "loss": 0.654, + "step": 1451 + }, + { + "epoch": 0.82, + "learning_rate": 1.6884744905671034e-05, + "loss": 0.8571, + "step": 1452 + }, + { + "epoch": 0.82, + "learning_rate": 1.678338052691101e-05, + "loss": 0.7086, + "step": 1453 + }, + { + "epoch": 0.82, + "learning_rate": 1.6682293446927565e-05, + "loss": 0.717, + "step": 1454 + }, + { + "epoch": 0.82, + "learning_rate": 1.658148400256836e-05, + "loss": 1.041, + "step": 1455 + }, + { + "epoch": 0.82, + "learning_rate": 1.6480952529755888e-05, + "loss": 1.132, + "step": 1456 + }, + { + "epoch": 0.82, + "learning_rate": 1.638069936348643e-05, + "loss": 0.5997, + "step": 1457 + }, + { + "epoch": 0.82, + "learning_rate": 1.6280724837828796e-05, + "loss": 0.8224, + "step": 1458 + }, + { + "epoch": 0.82, + "learning_rate": 1.6181029285923367e-05, + "loss": 0.8324, + "step": 1459 + }, + { + "epoch": 0.82, + "learning_rate": 1.6081613039980827e-05, + "loss": 0.6056, + "step": 1460 + }, + { + "epoch": 0.82, + "learning_rate": 1.5982476431281258e-05, + "loss": 0.7354, + "step": 1461 + }, + { + "epoch": 0.82, + "learning_rate": 1.5883619790172832e-05, + "loss": 0.669, + "step": 1462 + }, + { + "epoch": 0.82, + "learning_rate": 1.5785043446070823e-05, + "loss": 0.6532, + "step": 1463 + }, + { + "epoch": 0.82, + "learning_rate": 1.5686747727456485e-05, + "loss": 0.7035, + "step": 1464 + }, + { + "epoch": 0.83, + "learning_rate": 1.558873296187594e-05, + "loss": 0.7205, + "step": 1465 + }, + { + "epoch": 0.83, + "learning_rate": 1.5490999475939172e-05, + "loss": 0.5845, + "step": 1466 + }, + { + "epoch": 0.83, + "learning_rate": 1.539354759531878e-05, + "loss": 0.5977, + "step": 1467 + }, + { + "epoch": 0.83, + "learning_rate": 1.5296377644749037e-05, + "loss": 0.6224, + "step": 1468 + }, + { + "epoch": 0.83, + "learning_rate": 1.5199489948024747e-05, + "loss": 0.6859, + "step": 1469 + }, + { + "epoch": 0.83, + "learning_rate": 1.5102884828000119e-05, + "loss": 0.6523, + "step": 1470 + }, + { + "epoch": 0.83, + "learning_rate": 1.5006562606587882e-05, + "loss": 0.6151, + "step": 1471 + }, + { + "epoch": 0.83, + "learning_rate": 1.491052360475792e-05, + "loss": 0.8936, + "step": 1472 + }, + { + "epoch": 0.83, + "learning_rate": 1.4814768142536395e-05, + "loss": 0.8074, + "step": 1473 + }, + { + "epoch": 0.83, + "learning_rate": 1.4719296539004746e-05, + "loss": 0.6527, + "step": 1474 + }, + { + "epoch": 0.83, + "learning_rate": 1.4624109112298413e-05, + "loss": 0.9028, + "step": 1475 + }, + { + "epoch": 0.83, + "learning_rate": 1.4529206179605936e-05, + "loss": 0.7406, + "step": 1476 + }, + { + "epoch": 0.83, + "learning_rate": 1.443458805716782e-05, + "loss": 0.7372, + "step": 1477 + }, + { + "epoch": 0.83, + "learning_rate": 1.4340255060275509e-05, + "loss": 0.7179, + "step": 1478 + }, + { + "epoch": 0.83, + "learning_rate": 1.4246207503270404e-05, + "loss": 1.0827, + "step": 1479 + }, + { + "epoch": 0.83, + "learning_rate": 1.4152445699542671e-05, + "loss": 0.6431, + "step": 1480 + }, + { + "epoch": 0.83, + "learning_rate": 1.40589699615303e-05, + "loss": 0.6615, + "step": 1481 + }, + { + "epoch": 0.83, + "learning_rate": 1.396578060071806e-05, + "loss": 0.839, + "step": 1482 + }, + { + "epoch": 0.84, + "learning_rate": 1.3872877927636363e-05, + "loss": 1.2344, + "step": 1483 + }, + { + "epoch": 0.84, + "learning_rate": 1.3780262251860433e-05, + "loss": 0.6666, + "step": 1484 + }, + { + "epoch": 0.84, + "learning_rate": 1.368793388200904e-05, + "loss": 1.4326, + "step": 1485 + }, + { + "epoch": 0.84, + "learning_rate": 1.3595893125743609e-05, + "loss": 0.6695, + "step": 1486 + }, + { + "epoch": 0.84, + "learning_rate": 1.3504140289767153e-05, + "loss": 0.8144, + "step": 1487 + }, + { + "epoch": 0.84, + "learning_rate": 1.3412675679823317e-05, + "loss": 0.6141, + "step": 1488 + }, + { + "epoch": 0.84, + "learning_rate": 1.3321499600695243e-05, + "loss": 1.0655, + "step": 1489 + }, + { + "epoch": 0.84, + "learning_rate": 1.323061235620463e-05, + "loss": 1.1028, + "step": 1490 + }, + { + "epoch": 0.84, + "learning_rate": 1.314001424921072e-05, + "loss": 0.6158, + "step": 1491 + }, + { + "epoch": 0.84, + "learning_rate": 1.3049705581609261e-05, + "loss": 0.7058, + "step": 1492 + }, + { + "epoch": 0.84, + "learning_rate": 1.2959686654331526e-05, + "loss": 0.7304, + "step": 1493 + }, + { + "epoch": 0.84, + "learning_rate": 1.286995776734331e-05, + "loss": 1.0598, + "step": 1494 + }, + { + "epoch": 0.84, + "learning_rate": 1.2780519219643894e-05, + "loss": 1.0134, + "step": 1495 + }, + { + "epoch": 0.84, + "learning_rate": 1.2691371309265066e-05, + "loss": 0.7382, + "step": 1496 + }, + { + "epoch": 0.84, + "learning_rate": 1.260251433327022e-05, + "loss": 0.6257, + "step": 1497 + }, + { + "epoch": 0.84, + "learning_rate": 1.2513948587753188e-05, + "loss": 0.9225, + "step": 1498 + }, + { + "epoch": 0.84, + "learning_rate": 1.2425674367837392e-05, + "loss": 0.8195, + "step": 1499 + }, + { + "epoch": 0.85, + "learning_rate": 1.233769196767478e-05, + "loss": 0.7473, + "step": 1500 + }, + { + "epoch": 0.85, + "learning_rate": 1.2250001680444967e-05, + "loss": 0.7794, + "step": 1501 + }, + { + "epoch": 0.85, + "learning_rate": 1.2162603798354088e-05, + "loss": 0.6547, + "step": 1502 + }, + { + "epoch": 0.85, + "learning_rate": 1.2075498612633951e-05, + "loss": 0.6557, + "step": 1503 + }, + { + "epoch": 0.85, + "learning_rate": 1.1988686413541007e-05, + "loss": 0.7643, + "step": 1504 + }, + { + "epoch": 0.85, + "learning_rate": 1.1902167490355387e-05, + "loss": 0.8573, + "step": 1505 + }, + { + "epoch": 0.85, + "learning_rate": 1.1815942131380043e-05, + "loss": 0.7683, + "step": 1506 + }, + { + "epoch": 0.85, + "learning_rate": 1.173001062393958e-05, + "loss": 0.7734, + "step": 1507 + }, + { + "epoch": 0.85, + "learning_rate": 1.1644373254379482e-05, + "loss": 0.666, + "step": 1508 + }, + { + "epoch": 0.85, + "learning_rate": 1.1559030308065078e-05, + "loss": 0.7856, + "step": 1509 + }, + { + "epoch": 0.85, + "learning_rate": 1.1473982069380573e-05, + "loss": 0.8065, + "step": 1510 + }, + { + "epoch": 0.85, + "learning_rate": 1.1389228821728203e-05, + "loss": 0.8726, + "step": 1511 + }, + { + "epoch": 0.85, + "learning_rate": 1.1304770847527169e-05, + "loss": 0.7335, + "step": 1512 + }, + { + "epoch": 0.85, + "learning_rate": 1.1220608428212764e-05, + "loss": 0.7631, + "step": 1513 + }, + { + "epoch": 0.85, + "learning_rate": 1.1136741844235343e-05, + "loss": 0.7019, + "step": 1514 + }, + { + "epoch": 0.85, + "learning_rate": 1.1053171375059601e-05, + "loss": 0.7676, + "step": 1515 + }, + { + "epoch": 0.85, + "learning_rate": 1.09698972991634e-05, + "loss": 0.6385, + "step": 1516 + }, + { + "epoch": 0.85, + "learning_rate": 1.0886919894036995e-05, + "loss": 0.65, + "step": 1517 + }, + { + "epoch": 0.86, + "learning_rate": 1.0804239436181995e-05, + "loss": 0.7539, + "step": 1518 + }, + { + "epoch": 0.86, + "learning_rate": 1.0721856201110603e-05, + "loss": 0.6454, + "step": 1519 + }, + { + "epoch": 0.86, + "learning_rate": 1.0639770463344534e-05, + "loss": 0.7002, + "step": 1520 + }, + { + "epoch": 0.86, + "learning_rate": 1.0557982496414176e-05, + "loss": 0.6548, + "step": 1521 + }, + { + "epoch": 0.86, + "learning_rate": 1.0476492572857666e-05, + "loss": 0.6824, + "step": 1522 + }, + { + "epoch": 0.86, + "learning_rate": 1.039530096421999e-05, + "loss": 0.8705, + "step": 1523 + }, + { + "epoch": 0.86, + "learning_rate": 1.0314407941052095e-05, + "loss": 1.1379, + "step": 1524 + }, + { + "epoch": 0.86, + "learning_rate": 1.0233813772909962e-05, + "loss": 1.0184, + "step": 1525 + }, + { + "epoch": 0.86, + "learning_rate": 1.0153518728353661e-05, + "loss": 0.7102, + "step": 1526 + }, + { + "epoch": 0.86, + "learning_rate": 1.0073523074946567e-05, + "loss": 0.6832, + "step": 1527 + }, + { + "epoch": 0.86, + "learning_rate": 9.99382707925437e-06, + "loss": 0.7868, + "step": 1528 + }, + { + "epoch": 0.86, + "learning_rate": 9.914431006844261e-06, + "loss": 0.8014, + "step": 1529 + }, + { + "epoch": 0.86, + "learning_rate": 9.835335122283973e-06, + "loss": 0.7465, + "step": 1530 + }, + { + "epoch": 0.86, + "learning_rate": 9.756539689140965e-06, + "loss": 0.9276, + "step": 1531 + }, + { + "epoch": 0.86, + "learning_rate": 9.67804496998147e-06, + "loss": 0.788, + "step": 1532 + }, + { + "epoch": 0.86, + "learning_rate": 9.59985122636976e-06, + "loss": 0.699, + "step": 1533 + }, + { + "epoch": 0.86, + "learning_rate": 9.521958718867108e-06, + "loss": 1.2395, + "step": 1534 + }, + { + "epoch": 0.86, + "learning_rate": 9.444367707030966e-06, + "loss": 0.6367, + "step": 1535 + }, + { + "epoch": 0.87, + "learning_rate": 9.36707844941417e-06, + "loss": 0.7273, + "step": 1536 + }, + { + "epoch": 0.87, + "learning_rate": 9.290091203564067e-06, + "loss": 0.7883, + "step": 1537 + }, + { + "epoch": 0.87, + "learning_rate": 9.21340622602158e-06, + "loss": 0.6715, + "step": 1538 + }, + { + "epoch": 0.87, + "learning_rate": 9.137023772320396e-06, + "loss": 1.2498, + "step": 1539 + }, + { + "epoch": 0.87, + "learning_rate": 9.060944096986123e-06, + "loss": 0.6353, + "step": 1540 + }, + { + "epoch": 0.87, + "learning_rate": 8.985167453535436e-06, + "loss": 0.6712, + "step": 1541 + }, + { + "epoch": 0.87, + "learning_rate": 8.909694094475252e-06, + "loss": 0.7074, + "step": 1542 + }, + { + "epoch": 0.87, + "learning_rate": 8.834524271301846e-06, + "loss": 0.7446, + "step": 1543 + }, + { + "epoch": 0.87, + "learning_rate": 8.759658234500023e-06, + "loss": 0.933, + "step": 1544 + }, + { + "epoch": 0.87, + "learning_rate": 8.685096233542311e-06, + "loss": 0.6554, + "step": 1545 + }, + { + "epoch": 0.87, + "learning_rate": 8.610838516888142e-06, + "loss": 0.614, + "step": 1546 + }, + { + "epoch": 0.87, + "learning_rate": 8.536885331982946e-06, + "loss": 0.658, + "step": 1547 + }, + { + "epoch": 0.87, + "learning_rate": 8.463236925257401e-06, + "loss": 0.642, + "step": 1548 + }, + { + "epoch": 0.87, + "learning_rate": 8.389893542126592e-06, + "loss": 0.7048, + "step": 1549 + }, + { + "epoch": 0.87, + "learning_rate": 8.316855426989145e-06, + "loss": 0.7164, + "step": 1550 + }, + { + "epoch": 0.87, + "learning_rate": 8.24412282322653e-06, + "loss": 0.6432, + "step": 1551 + }, + { + "epoch": 0.87, + "learning_rate": 8.171695973202143e-06, + "loss": 0.6439, + "step": 1552 + }, + { + "epoch": 0.87, + "learning_rate": 8.099575118260493e-06, + "loss": 0.7891, + "step": 1553 + }, + { + "epoch": 0.88, + "learning_rate": 8.0277604987265e-06, + "loss": 1.3786, + "step": 1554 + }, + { + "epoch": 0.88, + "learning_rate": 7.95625235390457e-06, + "loss": 0.7763, + "step": 1555 + }, + { + "epoch": 0.88, + "learning_rate": 7.885050922077908e-06, + "loss": 0.6437, + "step": 1556 + }, + { + "epoch": 0.88, + "learning_rate": 7.814156440507658e-06, + "loss": 0.6883, + "step": 1557 + }, + { + "epoch": 0.88, + "learning_rate": 7.743569145432084e-06, + "loss": 0.5832, + "step": 1558 + }, + { + "epoch": 0.88, + "learning_rate": 7.673289272065908e-06, + "loss": 1.1491, + "step": 1559 + }, + { + "epoch": 0.88, + "learning_rate": 7.603317054599401e-06, + "loss": 0.7369, + "step": 1560 + }, + { + "epoch": 0.88, + "learning_rate": 7.5336527261976376e-06, + "loss": 0.591, + "step": 1561 + }, + { + "epoch": 0.88, + "learning_rate": 7.464296518999736e-06, + "loss": 0.752, + "step": 1562 + }, + { + "epoch": 0.88, + "learning_rate": 7.395248664118071e-06, + "loss": 0.6564, + "step": 1563 + }, + { + "epoch": 0.88, + "learning_rate": 7.326509391637559e-06, + "loss": 0.711, + "step": 1564 + }, + { + "epoch": 0.88, + "learning_rate": 7.258078930614787e-06, + "loss": 0.6925, + "step": 1565 + }, + { + "epoch": 0.88, + "learning_rate": 7.189957509077305e-06, + "loss": 0.7056, + "step": 1566 + }, + { + "epoch": 0.88, + "learning_rate": 7.122145354022891e-06, + "loss": 0.7495, + "step": 1567 + }, + { + "epoch": 0.88, + "learning_rate": 7.0546426914187334e-06, + "loss": 0.6962, + "step": 1568 + }, + { + "epoch": 0.88, + "learning_rate": 6.987449746200792e-06, + "loss": 0.8689, + "step": 1569 + }, + { + "epoch": 0.88, + "learning_rate": 6.920566742272883e-06, + "loss": 0.6532, + "step": 1570 + }, + { + "epoch": 0.89, + "learning_rate": 6.8539939025060506e-06, + "loss": 0.6556, + "step": 1571 + }, + { + "epoch": 0.89, + "learning_rate": 6.7877314487377996e-06, + "loss": 0.6364, + "step": 1572 + }, + { + "epoch": 0.89, + "learning_rate": 6.7217796017713605e-06, + "loss": 0.6829, + "step": 1573 + }, + { + "epoch": 0.89, + "learning_rate": 6.656138581374938e-06, + "loss": 0.7143, + "step": 1574 + }, + { + "epoch": 0.89, + "learning_rate": 6.590808606280951e-06, + "loss": 0.8128, + "step": 1575 + }, + { + "epoch": 0.89, + "learning_rate": 6.525789894185385e-06, + "loss": 0.6871, + "step": 1576 + }, + { + "epoch": 0.89, + "learning_rate": 6.461082661746976e-06, + "loss": 0.9848, + "step": 1577 + }, + { + "epoch": 0.89, + "learning_rate": 6.396687124586576e-06, + "loss": 0.676, + "step": 1578 + }, + { + "epoch": 0.89, + "learning_rate": 6.332603497286338e-06, + "loss": 0.7569, + "step": 1579 + }, + { + "epoch": 0.89, + "learning_rate": 6.268831993389102e-06, + "loss": 0.7303, + "step": 1580 + }, + { + "epoch": 0.89, + "learning_rate": 6.205372825397593e-06, + "loss": 0.7696, + "step": 1581 + }, + { + "epoch": 0.89, + "learning_rate": 6.142226204773804e-06, + "loss": 0.796, + "step": 1582 + }, + { + "epoch": 0.89, + "learning_rate": 6.079392341938184e-06, + "loss": 0.6206, + "step": 1583 + }, + { + "epoch": 0.89, + "learning_rate": 6.0168714462690345e-06, + "loss": 0.6779, + "step": 1584 + }, + { + "epoch": 0.89, + "learning_rate": 5.954663726101739e-06, + "loss": 0.6859, + "step": 1585 + }, + { + "epoch": 0.89, + "learning_rate": 5.892769388728137e-06, + "loss": 0.7141, + "step": 1586 + }, + { + "epoch": 0.89, + "learning_rate": 5.83118864039579e-06, + "loss": 0.8449, + "step": 1587 + }, + { + "epoch": 0.89, + "learning_rate": 5.769921686307267e-06, + "loss": 0.7929, + "step": 1588 + }, + { + "epoch": 0.9, + "learning_rate": 5.708968730619535e-06, + "loss": 0.6283, + "step": 1589 + }, + { + "epoch": 0.9, + "learning_rate": 5.648329976443212e-06, + "loss": 0.6658, + "step": 1590 + }, + { + "epoch": 0.9, + "learning_rate": 5.5880056258419415e-06, + "loss": 0.7919, + "step": 1591 + }, + { + "epoch": 0.9, + "learning_rate": 5.5279958798316934e-06, + "loss": 0.7154, + "step": 1592 + }, + { + "epoch": 0.9, + "learning_rate": 5.468300938380056e-06, + "loss": 0.7585, + "step": 1593 + }, + { + "epoch": 0.9, + "learning_rate": 5.408921000405664e-06, + "loss": 0.7413, + "step": 1594 + }, + { + "epoch": 0.9, + "learning_rate": 5.349856263777431e-06, + "loss": 0.7866, + "step": 1595 + }, + { + "epoch": 0.9, + "learning_rate": 5.291106925314004e-06, + "loss": 0.6647, + "step": 1596 + }, + { + "epoch": 0.9, + "learning_rate": 5.2326731807829875e-06, + "loss": 0.8724, + "step": 1597 + }, + { + "epoch": 0.9, + "learning_rate": 5.174555224900346e-06, + "loss": 0.78, + "step": 1598 + }, + { + "epoch": 0.9, + "learning_rate": 5.116753251329764e-06, + "loss": 0.7836, + "step": 1599 + }, + { + "epoch": 0.9, + "learning_rate": 5.059267452682059e-06, + "loss": 0.7018, + "step": 1600 + }, + { + "epoch": 0.9, + "learning_rate": 5.0020980205143785e-06, + "loss": 0.6307, + "step": 1601 + }, + { + "epoch": 0.9, + "learning_rate": 4.945245145329702e-06, + "loss": 0.6927, + "step": 1602 + }, + { + "epoch": 0.9, + "learning_rate": 4.888709016576154e-06, + "loss": 0.6812, + "step": 1603 + }, + { + "epoch": 0.9, + "learning_rate": 4.832489822646402e-06, + "loss": 0.7431, + "step": 1604 + }, + { + "epoch": 0.9, + "learning_rate": 4.7765877508769815e-06, + "loss": 0.818, + "step": 1605 + }, + { + "epoch": 0.9, + "learning_rate": 4.721002987547696e-06, + "loss": 0.7638, + "step": 1606 + }, + { + "epoch": 0.91, + "learning_rate": 4.665735717881015e-06, + "loss": 0.6414, + "step": 1607 + }, + { + "epoch": 0.91, + "learning_rate": 4.610786126041399e-06, + "loss": 0.6879, + "step": 1608 + }, + { + "epoch": 0.91, + "learning_rate": 4.556154395134782e-06, + "loss": 0.7139, + "step": 1609 + }, + { + "epoch": 0.91, + "learning_rate": 4.5018407072078824e-06, + "loss": 0.6976, + "step": 1610 + }, + { + "epoch": 0.91, + "learning_rate": 4.447845243247606e-06, + "loss": 1.0527, + "step": 1611 + }, + { + "epoch": 0.91, + "learning_rate": 4.394168183180458e-06, + "loss": 0.6635, + "step": 1612 + }, + { + "epoch": 0.91, + "learning_rate": 4.34080970587194e-06, + "loss": 0.668, + "step": 1613 + }, + { + "epoch": 0.91, + "learning_rate": 4.2877699891260005e-06, + "loss": 0.7677, + "step": 1614 + }, + { + "epoch": 0.91, + "learning_rate": 4.2350492096843274e-06, + "loss": 0.6171, + "step": 1615 + }, + { + "epoch": 0.91, + "learning_rate": 4.18264754322587e-06, + "loss": 0.9829, + "step": 1616 + }, + { + "epoch": 0.91, + "learning_rate": 4.130565164366207e-06, + "loss": 0.7367, + "step": 1617 + }, + { + "epoch": 0.91, + "learning_rate": 4.078802246656987e-06, + "loss": 0.65, + "step": 1618 + }, + { + "epoch": 0.91, + "learning_rate": 4.027358962585293e-06, + "loss": 0.9596, + "step": 1619 + }, + { + "epoch": 0.91, + "learning_rate": 3.9762354835731315e-06, + "loss": 0.7187, + "step": 1620 + }, + { + "epoch": 0.91, + "learning_rate": 3.925431979976824e-06, + "loss": 0.6839, + "step": 1621 + }, + { + "epoch": 0.91, + "learning_rate": 3.874948621086483e-06, + "loss": 0.6716, + "step": 1622 + }, + { + "epoch": 0.91, + "learning_rate": 3.824785575125412e-06, + "loss": 0.6431, + "step": 1623 + }, + { + "epoch": 0.91, + "learning_rate": 3.7749430092495208e-06, + "loss": 0.6687, + "step": 1624 + }, + { + "epoch": 0.92, + "learning_rate": 3.72542108954681e-06, + "loss": 0.7704, + "step": 1625 + }, + { + "epoch": 0.92, + "learning_rate": 3.6762199810368214e-06, + "loss": 1.033, + "step": 1626 + }, + { + "epoch": 0.92, + "learning_rate": 3.627339847670075e-06, + "loss": 0.8748, + "step": 1627 + }, + { + "epoch": 0.92, + "learning_rate": 3.5787808523275124e-06, + "loss": 0.7874, + "step": 1628 + }, + { + "epoch": 0.92, + "learning_rate": 3.5305431568199433e-06, + "loss": 0.7576, + "step": 1629 + }, + { + "epoch": 0.92, + "learning_rate": 3.482626921887533e-06, + "loss": 1.005, + "step": 1630 + }, + { + "epoch": 0.92, + "learning_rate": 3.435032307199304e-06, + "loss": 0.8381, + "step": 1631 + }, + { + "epoch": 0.92, + "learning_rate": 3.387759471352503e-06, + "loss": 0.7558, + "step": 1632 + }, + { + "epoch": 0.92, + "learning_rate": 3.340808571872156e-06, + "loss": 0.652, + "step": 1633 + }, + { + "epoch": 0.92, + "learning_rate": 3.2941797652104923e-06, + "loss": 0.7443, + "step": 1634 + }, + { + "epoch": 0.92, + "learning_rate": 3.247873206746477e-06, + "loss": 0.8704, + "step": 1635 + }, + { + "epoch": 0.92, + "learning_rate": 3.201889050785245e-06, + "loss": 0.7245, + "step": 1636 + }, + { + "epoch": 0.92, + "learning_rate": 3.156227450557614e-06, + "loss": 0.6882, + "step": 1637 + }, + { + "epoch": 0.92, + "learning_rate": 3.110888558219549e-06, + "loss": 0.7225, + "step": 1638 + }, + { + "epoch": 0.92, + "learning_rate": 3.0658725248516874e-06, + "loss": 0.6717, + "step": 1639 + }, + { + "epoch": 0.92, + "learning_rate": 3.021179500458815e-06, + "loss": 1.0969, + "step": 1640 + }, + { + "epoch": 0.92, + "learning_rate": 2.9768096339693684e-06, + "loss": 0.6257, + "step": 1641 + }, + { + "epoch": 0.93, + "learning_rate": 2.932763073234923e-06, + "loss": 0.693, + "step": 1642 + }, + { + "epoch": 0.93, + "learning_rate": 2.8890399650297493e-06, + "loss": 0.6313, + "step": 1643 + }, + { + "epoch": 0.93, + "learning_rate": 2.84564045505028e-06, + "loss": 0.6905, + "step": 1644 + }, + { + "epoch": 0.93, + "learning_rate": 2.802564687914633e-06, + "loss": 0.7461, + "step": 1645 + }, + { + "epoch": 0.93, + "learning_rate": 2.759812807162132e-06, + "loss": 0.6584, + "step": 1646 + }, + { + "epoch": 0.93, + "learning_rate": 2.717384955252833e-06, + "loss": 0.8549, + "step": 1647 + }, + { + "epoch": 0.93, + "learning_rate": 2.675281273567032e-06, + "loss": 0.6854, + "step": 1648 + }, + { + "epoch": 0.93, + "learning_rate": 2.6335019024048447e-06, + "loss": 0.9723, + "step": 1649 + }, + { + "epoch": 0.93, + "learning_rate": 2.592046980985674e-06, + "loss": 0.6804, + "step": 1650 + }, + { + "epoch": 0.93, + "learning_rate": 2.5509166474477763e-06, + "loss": 0.7268, + "step": 1651 + }, + { + "epoch": 0.93, + "learning_rate": 2.5101110388477956e-06, + "loss": 0.8594, + "step": 1652 + }, + { + "epoch": 0.93, + "learning_rate": 2.4696302911603187e-06, + "loss": 0.6487, + "step": 1653 + }, + { + "epoch": 0.93, + "learning_rate": 2.429474539277432e-06, + "loss": 0.772, + "step": 1654 + }, + { + "epoch": 0.93, + "learning_rate": 2.3896439170082106e-06, + "loss": 0.6503, + "step": 1655 + }, + { + "epoch": 0.93, + "learning_rate": 2.350138557078352e-06, + "loss": 0.6615, + "step": 1656 + }, + { + "epoch": 0.93, + "learning_rate": 2.310958591129675e-06, + "loss": 0.5987, + "step": 1657 + }, + { + "epoch": 0.93, + "learning_rate": 2.2721041497197226e-06, + "loss": 0.6036, + "step": 1658 + }, + { + "epoch": 0.93, + "learning_rate": 2.2335753623213053e-06, + "loss": 0.7292, + "step": 1659 + }, + { + "epoch": 0.94, + "learning_rate": 2.1953723573220565e-06, + "loss": 0.9554, + "step": 1660 + }, + { + "epoch": 0.94, + "learning_rate": 2.1574952620240228e-06, + "loss": 0.6425, + "step": 1661 + }, + { + "epoch": 0.94, + "learning_rate": 2.1199442026432536e-06, + "loss": 0.8448, + "step": 1662 + }, + { + "epoch": 0.94, + "learning_rate": 2.082719304309355e-06, + "loss": 0.7427, + "step": 1663 + }, + { + "epoch": 0.94, + "learning_rate": 2.045820691065081e-06, + "loss": 0.6028, + "step": 1664 + }, + { + "epoch": 0.94, + "learning_rate": 2.009248485865922e-06, + "loss": 0.7538, + "step": 1665 + }, + { + "epoch": 0.94, + "learning_rate": 1.973002810579683e-06, + "loss": 0.8006, + "step": 1666 + }, + { + "epoch": 0.94, + "learning_rate": 1.9370837859861268e-06, + "loss": 0.7291, + "step": 1667 + }, + { + "epoch": 0.94, + "learning_rate": 1.9014915317765003e-06, + "loss": 0.6773, + "step": 1668 + }, + { + "epoch": 0.94, + "learning_rate": 1.8662261665531645e-06, + "loss": 0.6836, + "step": 1669 + }, + { + "epoch": 0.94, + "learning_rate": 1.8312878078292072e-06, + "loss": 0.5893, + "step": 1670 + }, + { + "epoch": 0.94, + "learning_rate": 1.7966765720280887e-06, + "loss": 0.7676, + "step": 1671 + }, + { + "epoch": 0.94, + "learning_rate": 1.7623925744831626e-06, + "loss": 0.682, + "step": 1672 + }, + { + "epoch": 0.94, + "learning_rate": 1.7284359294373663e-06, + "loss": 0.7338, + "step": 1673 + }, + { + "epoch": 0.94, + "learning_rate": 1.6948067500427989e-06, + "loss": 0.7846, + "step": 1674 + }, + { + "epoch": 0.94, + "learning_rate": 1.661505148360376e-06, + "loss": 0.6528, + "step": 1675 + }, + { + "epoch": 0.94, + "learning_rate": 1.628531235359454e-06, + "loss": 0.7176, + "step": 1676 + }, + { + "epoch": 0.94, + "learning_rate": 1.5958851209174064e-06, + "loss": 0.7479, + "step": 1677 + }, + { + "epoch": 0.95, + "learning_rate": 1.5635669138193476e-06, + "loss": 0.5771, + "step": 1678 + }, + { + "epoch": 0.95, + "learning_rate": 1.5315767217576994e-06, + "loss": 0.7066, + "step": 1679 + }, + { + "epoch": 0.95, + "learning_rate": 1.4999146513318352e-06, + "loss": 0.6572, + "step": 1680 + }, + { + "epoch": 0.95, + "learning_rate": 1.4685808080477814e-06, + "loss": 0.8481, + "step": 1681 + }, + { + "epoch": 0.95, + "learning_rate": 1.4375752963178057e-06, + "loss": 0.759, + "step": 1682 + }, + { + "epoch": 0.95, + "learning_rate": 1.4068982194600844e-06, + "loss": 0.7587, + "step": 1683 + }, + { + "epoch": 0.95, + "learning_rate": 1.3765496796984024e-06, + "loss": 0.69, + "step": 1684 + }, + { + "epoch": 0.95, + "learning_rate": 1.3465297781617426e-06, + "loss": 0.8593, + "step": 1685 + }, + { + "epoch": 0.95, + "learning_rate": 1.3168386148839974e-06, + "loss": 0.6419, + "step": 1686 + }, + { + "epoch": 0.95, + "learning_rate": 1.2874762888036019e-06, + "loss": 0.7105, + "step": 1687 + }, + { + "epoch": 0.95, + "learning_rate": 1.2584428977632457e-06, + "loss": 0.6939, + "step": 1688 + }, + { + "epoch": 0.95, + "learning_rate": 1.2297385385095173e-06, + "loss": 0.6837, + "step": 1689 + }, + { + "epoch": 0.95, + "learning_rate": 1.2013633066925821e-06, + "loss": 0.5718, + "step": 1690 + }, + { + "epoch": 0.95, + "learning_rate": 1.1733172968658723e-06, + "loss": 0.887, + "step": 1691 + }, + { + "epoch": 0.95, + "learning_rate": 1.1456006024857746e-06, + "loss": 0.8166, + "step": 1692 + }, + { + "epoch": 0.95, + "learning_rate": 1.1182133159113095e-06, + "loss": 0.6817, + "step": 1693 + }, + { + "epoch": 0.95, + "learning_rate": 1.09115552840382e-06, + "loss": 0.7303, + "step": 1694 + }, + { + "epoch": 0.95, + "learning_rate": 1.0644273301266826e-06, + "loss": 0.6797, + "step": 1695 + }, + { + "epoch": 0.96, + "learning_rate": 1.0380288101450086e-06, + "loss": 0.5043, + "step": 1696 + }, + { + "epoch": 0.96, + "learning_rate": 1.0119600564253206e-06, + "loss": 0.7003, + "step": 1697 + }, + { + "epoch": 0.96, + "learning_rate": 9.862211558352873e-07, + "loss": 0.6463, + "step": 1698 + }, + { + "epoch": 0.96, + "learning_rate": 9.608121941434234e-07, + "loss": 0.7284, + "step": 1699 + }, + { + "epoch": 0.96, + "learning_rate": 9.357332560188004e-07, + "loss": 0.7904, + "step": 1700 + }, + { + "epoch": 0.96, + "learning_rate": 9.109844250307586e-07, + "loss": 0.6598, + "step": 1701 + }, + { + "epoch": 0.96, + "learning_rate": 8.865657836486629e-07, + "loss": 0.7398, + "step": 1702 + }, + { + "epoch": 0.96, + "learning_rate": 8.624774132415914e-07, + "loss": 0.695, + "step": 1703 + }, + { + "epoch": 0.96, + "learning_rate": 8.38719394078058e-07, + "loss": 0.7711, + "step": 1704 + }, + { + "epoch": 0.96, + "learning_rate": 8.152918053257796e-07, + "loss": 0.6413, + "step": 1705 + }, + { + "epoch": 0.96, + "learning_rate": 7.921947250513983e-07, + "loss": 0.7671, + "step": 1706 + }, + { + "epoch": 0.96, + "learning_rate": 7.69428230220226e-07, + "loss": 0.8222, + "step": 1707 + }, + { + "epoch": 0.96, + "learning_rate": 7.469923966959447e-07, + "loss": 0.7758, + "step": 1708 + }, + { + "epoch": 0.96, + "learning_rate": 7.248872992404399e-07, + "loss": 0.6497, + "step": 1709 + }, + { + "epoch": 0.96, + "learning_rate": 7.031130115134565e-07, + "loss": 1.1094, + "step": 1710 + }, + { + "epoch": 0.96, + "learning_rate": 6.816696060724215e-07, + "loss": 0.6189, + "step": 1711 + }, + { + "epoch": 0.96, + "learning_rate": 6.605571543721767e-07, + "loss": 0.7411, + "step": 1712 + }, + { + "epoch": 0.97, + "learning_rate": 6.397757267647353e-07, + "loss": 0.6935, + "step": 1713 + }, + { + "epoch": 0.97, + "learning_rate": 6.193253924990483e-07, + "loss": 0.6793, + "step": 1714 + }, + { + "epoch": 0.97, + "learning_rate": 5.99206219720816e-07, + "loss": 0.6601, + "step": 1715 + }, + { + "epoch": 0.97, + "learning_rate": 5.794182754721766e-07, + "loss": 0.6191, + "step": 1716 + }, + { + "epoch": 0.97, + "learning_rate": 5.59961625691563e-07, + "loss": 0.6234, + "step": 1717 + }, + { + "epoch": 0.97, + "learning_rate": 5.40836335213446e-07, + "loss": 1.0931, + "step": 1718 + }, + { + "epoch": 0.97, + "learning_rate": 5.220424677681024e-07, + "loss": 0.734, + "step": 1719 + }, + { + "epoch": 0.97, + "learning_rate": 5.035800859814588e-07, + "loss": 0.6727, + "step": 1720 + }, + { + "epoch": 0.97, + "learning_rate": 4.854492513748365e-07, + "loss": 0.6986, + "step": 1721 + }, + { + "epoch": 0.97, + "learning_rate": 4.676500243647297e-07, + "loss": 0.8588, + "step": 1722 + }, + { + "epoch": 0.97, + "learning_rate": 4.5018246426267176e-07, + "loss": 0.6938, + "step": 1723 + }, + { + "epoch": 0.97, + "learning_rate": 4.330466292749691e-07, + "loss": 0.9598, + "step": 1724 + }, + { + "epoch": 0.97, + "learning_rate": 4.1624257650256794e-07, + "loss": 0.6753, + "step": 1725 + }, + { + "epoch": 0.97, + "learning_rate": 3.9977036194078777e-07, + "loss": 0.7669, + "step": 1726 + }, + { + "epoch": 0.97, + "learning_rate": 3.836300404792215e-07, + "loss": 0.9529, + "step": 1727 + }, + { + "epoch": 0.97, + "learning_rate": 3.6782166590147993e-07, + "loss": 0.6985, + "step": 1728 + }, + { + "epoch": 0.97, + "learning_rate": 3.5234529088506993e-07, + "loss": 0.5871, + "step": 1729 + }, + { + "epoch": 0.97, + "learning_rate": 3.3720096700117223e-07, + "loss": 0.7948, + "step": 1730 + }, + { + "epoch": 0.98, + "learning_rate": 3.2238874471449687e-07, + "loss": 0.6262, + "step": 1731 + }, + { + "epoch": 0.98, + "learning_rate": 3.0790867338310603e-07, + "loss": 0.6591, + "step": 1732 + }, + { + "epoch": 0.98, + "learning_rate": 2.937608012582471e-07, + "loss": 0.6008, + "step": 1733 + }, + { + "epoch": 0.98, + "learning_rate": 2.7994517548420864e-07, + "loss": 0.5115, + "step": 1734 + }, + { + "epoch": 0.98, + "learning_rate": 2.664618420981424e-07, + "loss": 1.0844, + "step": 1735 + }, + { + "epoch": 0.98, + "learning_rate": 2.533108460299083e-07, + "loss": 0.739, + "step": 1736 + }, + { + "epoch": 0.98, + "learning_rate": 2.4049223110196307e-07, + "loss": 0.6477, + "step": 1737 + }, + { + "epoch": 0.98, + "learning_rate": 2.2800604002913838e-07, + "loss": 0.9106, + "step": 1738 + }, + { + "epoch": 0.98, + "learning_rate": 2.1585231441859642e-07, + "loss": 0.6617, + "step": 1739 + }, + { + "epoch": 0.98, + "learning_rate": 2.040310947696078e-07, + "loss": 0.6735, + "step": 1740 + }, + { + "epoch": 0.98, + "learning_rate": 1.9254242047346272e-07, + "loss": 0.7457, + "step": 1741 + }, + { + "epoch": 0.98, + "learning_rate": 1.813863298133267e-07, + "loss": 0.8435, + "step": 1742 + }, + { + "epoch": 0.98, + "learning_rate": 1.7056285996409627e-07, + "loss": 0.6986, + "step": 1743 + }, + { + "epoch": 0.98, + "learning_rate": 1.6007204699232113e-07, + "loss": 0.6174, + "step": 1744 + }, + { + "epoch": 0.98, + "learning_rate": 1.499139258560378e-07, + "loss": 0.776, + "step": 1745 + }, + { + "epoch": 0.98, + "learning_rate": 1.400885304046473e-07, + "loss": 0.7365, + "step": 1746 + }, + { + "epoch": 0.98, + "learning_rate": 1.305958933788598e-07, + "loss": 0.8178, + "step": 1747 + }, + { + "epoch": 0.98, + "learning_rate": 1.2143604641055018e-07, + "loss": 1.1905, + "step": 1748 + }, + { + "epoch": 0.99, + "learning_rate": 1.1260902002262485e-07, + "loss": 0.7967, + "step": 1749 + }, + { + "epoch": 0.99, + "learning_rate": 1.0411484362896629e-07, + "loss": 0.7972, + "step": 1750 + }, + { + "epoch": 0.99, + "learning_rate": 9.59535455343108e-08, + "loss": 0.8899, + "step": 1751 + }, + { + "epoch": 0.99, + "learning_rate": 8.812515293415979e-08, + "loss": 0.8666, + "step": 1752 + }, + { + "epoch": 0.99, + "learning_rate": 8.062969191471315e-08, + "loss": 0.8428, + "step": 1753 + }, + { + "epoch": 0.99, + "learning_rate": 7.346718745272485e-08, + "loss": 0.6602, + "step": 1754 + }, + { + "epoch": 0.99, + "learning_rate": 6.663766341545864e-08, + "loss": 0.6813, + "step": 1755 + }, + { + "epoch": 0.99, + "learning_rate": 6.014114256063241e-08, + "loss": 0.6162, + "step": 1756 + }, + { + "epoch": 0.99, + "learning_rate": 5.397764653627402e-08, + "loss": 0.5943, + "step": 1757 + }, + { + "epoch": 0.99, + "learning_rate": 4.814719588072114e-08, + "loss": 0.7395, + "step": 1758 + }, + { + "epoch": 0.99, + "learning_rate": 4.264981002249924e-08, + "loss": 1.085, + "step": 1759 + }, + { + "epoch": 0.99, + "learning_rate": 3.748550728028821e-08, + "loss": 0.6146, + "step": 1760 + }, + { + "epoch": 0.99, + "learning_rate": 3.265430486284471e-08, + "loss": 1.2175, + "step": 1761 + }, + { + "epoch": 0.99, + "learning_rate": 2.8156218868957694e-08, + "loss": 0.9247, + "step": 1762 + }, + { + "epoch": 0.99, + "learning_rate": 2.3991264287381852e-08, + "loss": 0.95, + "step": 1763 + }, + { + "epoch": 0.99, + "learning_rate": 2.0159454996804272e-08, + "loss": 0.8374, + "step": 1764 + }, + { + "epoch": 0.99, + "learning_rate": 1.6660803765777834e-08, + "loss": 0.7599, + "step": 1765 + }, + { + "epoch": 0.99, + "learning_rate": 1.3495322252687902e-08, + "loss": 0.5751, + "step": 1766 + }, + { + "epoch": 1.0, + "learning_rate": 1.066302100570793e-08, + "loss": 0.7389, + "step": 1767 + }, + { + "epoch": 1.0, + "learning_rate": 8.163909462799435e-09, + "loss": 0.6544, + "step": 1768 + }, + { + "epoch": 1.0, + "learning_rate": 5.9979959516232035e-09, + "loss": 0.7415, + "step": 1769 + }, + { + "epoch": 1.0, + "learning_rate": 4.165287689550379e-09, + "loss": 1.0343, + "step": 1770 + }, + { + "epoch": 1.0, + "learning_rate": 2.665790783629163e-09, + "loss": 0.6682, + "step": 1771 + }, + { + "epoch": 1.0, + "learning_rate": 1.4995102305626064e-09, + "loss": 0.743, + "step": 1772 + }, + { + "epoch": 1.0, + "learning_rate": 6.664499166864069e-10, + "loss": 0.7826, + "step": 1773 + }, + { + "epoch": 1.0, + "learning_rate": 1.666126179689087e-10, + "loss": 0.6494, + "step": 1774 + }, + { + "epoch": 1.0, + "learning_rate": 0.0, + "loss": 0.5891, + "step": 1775 + }, + { + "epoch": 1.0, + "step": 1775, + "total_flos": 89872441638912.0, + "train_loss": 0.8474402057620841, + "train_runtime": 10515.967, + "train_samples_per_second": 2.699, + "train_steps_per_second": 0.169 + } + ], + "max_steps": 1775, + "num_train_epochs": 1, + "total_flos": 89872441638912.0, + "trial_name": null, + "trial_params": null +}