{ "best_global_step": null, "best_metric": null, "best_model_checkpoint": null, "epoch": 0.9997274461706187, "eval_steps": 1834, "global_step": 7336, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0, "eval_loss": 1.0668452978134155, "eval_runtime": 1251.6489, "eval_samples_per_second": 4.105, "eval_steps_per_second": 0.172, "memory/device_mem_reserved(gib)": 34.96, "memory/max_mem_active(gib)": 28.15, "memory/max_mem_allocated(gib)": 26.09, "step": 0 }, { "epoch": 0.0001362769146906514, "grad_norm": 1.59375, "learning_rate": 0.0, "loss": 1.1323, "memory/device_mem_reserved(gib)": 53.34, "memory/max_mem_active(gib)": 42.21, "memory/max_mem_allocated(gib)": 42.21, "step": 1 }, { "epoch": 0.0002725538293813028, "grad_norm": 1.7421875, "learning_rate": 2.7285129604365622e-08, "loss": 1.1657, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2 }, { "epoch": 0.0004088307440719542, "grad_norm": 1.453125, "learning_rate": 5.4570259208731244e-08, "loss": 1.0031, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3 }, { "epoch": 0.0005451076587626056, "grad_norm": 1.6015625, "learning_rate": 8.185538881309687e-08, "loss": 1.1636, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4 }, { "epoch": 0.000681384573453257, "grad_norm": 1.625, "learning_rate": 1.0914051841746249e-07, "loss": 1.0693, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5 }, { "epoch": 0.0008176614881439084, "grad_norm": 1.5078125, "learning_rate": 1.3642564802182812e-07, "loss": 1.0196, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6 }, { "epoch": 0.0009539384028345599, "grad_norm": 1.4609375, "learning_rate": 1.6371077762619374e-07, "loss": 1.0711, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7 }, { "epoch": 0.0010902153175252113, "grad_norm": 1.6015625, "learning_rate": 1.9099590723055936e-07, "loss": 1.1219, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 8 }, { "epoch": 0.0012264922322158627, "grad_norm": 1.609375, "learning_rate": 2.1828103683492497e-07, "loss": 1.1111, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 9 }, { "epoch": 0.001362769146906514, "grad_norm": 1.453125, "learning_rate": 2.455661664392906e-07, "loss": 1.0278, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 10 }, { "epoch": 0.0014990460615971655, "grad_norm": 1.4453125, "learning_rate": 2.7285129604365624e-07, "loss": 1.107, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 11 }, { "epoch": 0.001635322976287817, "grad_norm": 1.4375, "learning_rate": 3.0013642564802186e-07, "loss": 0.9552, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 12 }, { "epoch": 0.0017715998909784683, "grad_norm": 1.4765625, "learning_rate": 3.274215552523875e-07, "loss": 1.0146, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 13 }, { "epoch": 0.0019078768056691197, "grad_norm": 1.7109375, "learning_rate": 3.5470668485675315e-07, "loss": 1.1845, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 14 }, { "epoch": 0.002044153720359771, "grad_norm": 1.5234375, "learning_rate": 3.819918144611187e-07, "loss": 1.0454, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 15 }, { "epoch": 0.0021804306350504225, "grad_norm": 1.5703125, "learning_rate": 4.092769440654844e-07, "loss": 1.0545, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 16 }, { "epoch": 0.0023167075497410737, "grad_norm": 1.453125, "learning_rate": 4.3656207366984995e-07, "loss": 1.0421, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 17 }, { "epoch": 0.0024529844644317253, "grad_norm": 1.328125, "learning_rate": 4.6384720327421557e-07, "loss": 1.1019, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 18 }, { "epoch": 0.0025892613791223765, "grad_norm": 1.6171875, "learning_rate": 4.911323328785812e-07, "loss": 1.1081, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 19 }, { "epoch": 0.002725538293813028, "grad_norm": 1.46875, "learning_rate": 5.184174624829469e-07, "loss": 1.0492, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 20 }, { "epoch": 0.0028618152085036794, "grad_norm": 1.3828125, "learning_rate": 5.457025920873125e-07, "loss": 0.9529, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 21 }, { "epoch": 0.002998092123194331, "grad_norm": 1.5703125, "learning_rate": 5.729877216916781e-07, "loss": 1.1025, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 22 }, { "epoch": 0.003134369037884982, "grad_norm": 1.5078125, "learning_rate": 6.002728512960437e-07, "loss": 1.0323, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 23 }, { "epoch": 0.003270645952575634, "grad_norm": 1.546875, "learning_rate": 6.275579809004094e-07, "loss": 1.0353, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 24 }, { "epoch": 0.003406922867266285, "grad_norm": 1.515625, "learning_rate": 6.54843110504775e-07, "loss": 1.0586, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 25 }, { "epoch": 0.0035431997819569366, "grad_norm": 1.4296875, "learning_rate": 6.821282401091406e-07, "loss": 0.9852, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 26 }, { "epoch": 0.003679476696647588, "grad_norm": 1.640625, "learning_rate": 7.094133697135063e-07, "loss": 1.1659, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 27 }, { "epoch": 0.0038157536113382394, "grad_norm": 1.4609375, "learning_rate": 7.366984993178718e-07, "loss": 1.0032, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 28 }, { "epoch": 0.003952030526028891, "grad_norm": 1.609375, "learning_rate": 7.639836289222374e-07, "loss": 1.1605, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 29 }, { "epoch": 0.004088307440719542, "grad_norm": 1.5390625, "learning_rate": 7.91268758526603e-07, "loss": 1.0845, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 30 }, { "epoch": 0.0042245843554101934, "grad_norm": 1.4453125, "learning_rate": 8.185538881309688e-07, "loss": 1.0011, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 31 }, { "epoch": 0.004360861270100845, "grad_norm": 1.5859375, "learning_rate": 8.458390177353343e-07, "loss": 1.0941, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 32 }, { "epoch": 0.004497138184791497, "grad_norm": 1.578125, "learning_rate": 8.731241473396999e-07, "loss": 1.1284, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 33 }, { "epoch": 0.0046334150994821474, "grad_norm": 1.5390625, "learning_rate": 9.004092769440656e-07, "loss": 1.1089, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 34 }, { "epoch": 0.004769692014172799, "grad_norm": 1.5234375, "learning_rate": 9.276944065484311e-07, "loss": 1.0479, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 35 }, { "epoch": 0.004905968928863451, "grad_norm": 1.375, "learning_rate": 9.549795361527968e-07, "loss": 1.0526, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 36 }, { "epoch": 0.005042245843554102, "grad_norm": 1.4609375, "learning_rate": 9.822646657571625e-07, "loss": 1.0211, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 37 }, { "epoch": 0.005178522758244753, "grad_norm": 1.4140625, "learning_rate": 1.0095497953615282e-06, "loss": 0.991, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 38 }, { "epoch": 0.005314799672935405, "grad_norm": 1.3203125, "learning_rate": 1.0368349249658937e-06, "loss": 1.0079, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 39 }, { "epoch": 0.005451076587626056, "grad_norm": 1.3984375, "learning_rate": 1.0641200545702592e-06, "loss": 0.9772, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 40 }, { "epoch": 0.005587353502316708, "grad_norm": 1.3046875, "learning_rate": 1.091405184174625e-06, "loss": 0.9657, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 41 }, { "epoch": 0.005723630417007359, "grad_norm": 1.40625, "learning_rate": 1.1186903137789905e-06, "loss": 0.9987, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 42 }, { "epoch": 0.00585990733169801, "grad_norm": 1.3828125, "learning_rate": 1.1459754433833562e-06, "loss": 0.9695, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 43 }, { "epoch": 0.005996184246388662, "grad_norm": 1.359375, "learning_rate": 1.173260572987722e-06, "loss": 0.9822, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 44 }, { "epoch": 0.006132461161079314, "grad_norm": 1.265625, "learning_rate": 1.2005457025920874e-06, "loss": 0.9489, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 45 }, { "epoch": 0.006268738075769964, "grad_norm": 1.3828125, "learning_rate": 1.227830832196453e-06, "loss": 1.026, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 46 }, { "epoch": 0.006405014990460616, "grad_norm": 1.4375, "learning_rate": 1.2551159618008189e-06, "loss": 1.0758, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 47 }, { "epoch": 0.006541291905151268, "grad_norm": 1.4921875, "learning_rate": 1.2824010914051844e-06, "loss": 1.0704, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 48 }, { "epoch": 0.006677568819841918, "grad_norm": 1.3515625, "learning_rate": 1.30968622100955e-06, "loss": 0.9826, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 49 }, { "epoch": 0.00681384573453257, "grad_norm": 1.34375, "learning_rate": 1.3369713506139156e-06, "loss": 1.0109, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 50 }, { "epoch": 0.006950122649223222, "grad_norm": 1.265625, "learning_rate": 1.3642564802182811e-06, "loss": 0.9642, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 51 }, { "epoch": 0.007086399563913873, "grad_norm": 1.1953125, "learning_rate": 1.3915416098226466e-06, "loss": 0.9532, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 52 }, { "epoch": 0.007222676478604524, "grad_norm": 1.21875, "learning_rate": 1.4188267394270126e-06, "loss": 0.9754, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 53 }, { "epoch": 0.007358953393295176, "grad_norm": 1.203125, "learning_rate": 1.446111869031378e-06, "loss": 0.8908, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 54 }, { "epoch": 0.007495230307985827, "grad_norm": 1.25, "learning_rate": 1.4733969986357436e-06, "loss": 0.9124, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 55 }, { "epoch": 0.007631507222676479, "grad_norm": 1.2734375, "learning_rate": 1.5006821282401093e-06, "loss": 1.0729, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 56 }, { "epoch": 0.00776778413736713, "grad_norm": 1.15625, "learning_rate": 1.5279672578444748e-06, "loss": 0.986, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 57 }, { "epoch": 0.007904061052057782, "grad_norm": 1.40625, "learning_rate": 1.5552523874488404e-06, "loss": 1.0837, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 58 }, { "epoch": 0.008040337966748433, "grad_norm": 1.2109375, "learning_rate": 1.582537517053206e-06, "loss": 1.063, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 59 }, { "epoch": 0.008176614881439084, "grad_norm": 1.1953125, "learning_rate": 1.6098226466575718e-06, "loss": 0.9666, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 60 }, { "epoch": 0.008312891796129736, "grad_norm": 1.1640625, "learning_rate": 1.6371077762619375e-06, "loss": 1.0397, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 61 }, { "epoch": 0.008449168710820387, "grad_norm": 1.171875, "learning_rate": 1.664392905866303e-06, "loss": 0.9564, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 62 }, { "epoch": 0.008585445625511038, "grad_norm": 1.1015625, "learning_rate": 1.6916780354706686e-06, "loss": 0.9381, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 63 }, { "epoch": 0.00872172254020169, "grad_norm": 1.140625, "learning_rate": 1.7189631650750343e-06, "loss": 0.9529, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 64 }, { "epoch": 0.008857999454892341, "grad_norm": 1.3359375, "learning_rate": 1.7462482946793998e-06, "loss": 1.0354, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 65 }, { "epoch": 0.008994276369582993, "grad_norm": 1.078125, "learning_rate": 1.7735334242837653e-06, "loss": 0.9752, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 66 }, { "epoch": 0.009130553284273644, "grad_norm": 1.0703125, "learning_rate": 1.8008185538881312e-06, "loss": 1.0045, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 67 }, { "epoch": 0.009266830198964295, "grad_norm": 1.1875, "learning_rate": 1.8281036834924968e-06, "loss": 1.0375, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 68 }, { "epoch": 0.009403107113654947, "grad_norm": 1.140625, "learning_rate": 1.8553888130968623e-06, "loss": 1.0741, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 69 }, { "epoch": 0.009539384028345598, "grad_norm": 1.0390625, "learning_rate": 1.882673942701228e-06, "loss": 0.957, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 70 }, { "epoch": 0.009675660943036249, "grad_norm": 1.1171875, "learning_rate": 1.9099590723055935e-06, "loss": 0.9739, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 71 }, { "epoch": 0.009811937857726901, "grad_norm": 1.21875, "learning_rate": 1.937244201909959e-06, "loss": 1.0922, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 72 }, { "epoch": 0.009948214772417552, "grad_norm": 1.0234375, "learning_rate": 1.964529331514325e-06, "loss": 0.9162, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 73 }, { "epoch": 0.010084491687108205, "grad_norm": 1.09375, "learning_rate": 1.9918144611186905e-06, "loss": 1.0455, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 74 }, { "epoch": 0.010220768601798855, "grad_norm": 1.015625, "learning_rate": 2.0190995907230564e-06, "loss": 0.9593, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 75 }, { "epoch": 0.010357045516489506, "grad_norm": 1.015625, "learning_rate": 2.046384720327422e-06, "loss": 1.0211, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 76 }, { "epoch": 0.010493322431180159, "grad_norm": 0.9609375, "learning_rate": 2.0736698499317874e-06, "loss": 0.9086, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 77 }, { "epoch": 0.01062959934587081, "grad_norm": 0.98046875, "learning_rate": 2.100954979536153e-06, "loss": 1.0001, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 78 }, { "epoch": 0.01076587626056146, "grad_norm": 1.0390625, "learning_rate": 2.1282401091405185e-06, "loss": 1.0674, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 79 }, { "epoch": 0.010902153175252113, "grad_norm": 0.91796875, "learning_rate": 2.155525238744884e-06, "loss": 0.9234, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 80 }, { "epoch": 0.011038430089942763, "grad_norm": 0.9375, "learning_rate": 2.18281036834925e-06, "loss": 0.8779, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 81 }, { "epoch": 0.011174707004633416, "grad_norm": 0.98046875, "learning_rate": 2.2100954979536154e-06, "loss": 1.0179, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 82 }, { "epoch": 0.011310983919324067, "grad_norm": 0.9296875, "learning_rate": 2.237380627557981e-06, "loss": 1.0045, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 83 }, { "epoch": 0.011447260834014717, "grad_norm": 0.9609375, "learning_rate": 2.264665757162347e-06, "loss": 0.976, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 84 }, { "epoch": 0.01158353774870537, "grad_norm": 0.99609375, "learning_rate": 2.2919508867667124e-06, "loss": 1.0774, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 85 }, { "epoch": 0.01171981466339602, "grad_norm": 0.96484375, "learning_rate": 2.319236016371078e-06, "loss": 1.0, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 86 }, { "epoch": 0.011856091578086671, "grad_norm": 0.84765625, "learning_rate": 2.346521145975444e-06, "loss": 0.9722, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 87 }, { "epoch": 0.011992368492777324, "grad_norm": 0.9375, "learning_rate": 2.3738062755798093e-06, "loss": 0.9525, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 88 }, { "epoch": 0.012128645407467975, "grad_norm": 0.8671875, "learning_rate": 2.401091405184175e-06, "loss": 0.9368, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 89 }, { "epoch": 0.012264922322158627, "grad_norm": 0.84375, "learning_rate": 2.4283765347885404e-06, "loss": 0.9327, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 90 }, { "epoch": 0.012401199236849278, "grad_norm": 0.83203125, "learning_rate": 2.455661664392906e-06, "loss": 0.9721, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 91 }, { "epoch": 0.012537476151539929, "grad_norm": 0.828125, "learning_rate": 2.482946793997272e-06, "loss": 0.9275, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 92 }, { "epoch": 0.012673753066230581, "grad_norm": 0.8671875, "learning_rate": 2.5102319236016377e-06, "loss": 0.9738, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 93 }, { "epoch": 0.012810029980921232, "grad_norm": 0.83203125, "learning_rate": 2.537517053206003e-06, "loss": 1.0251, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 94 }, { "epoch": 0.012946306895611883, "grad_norm": 0.7578125, "learning_rate": 2.5648021828103688e-06, "loss": 0.9614, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 95 }, { "epoch": 0.013082583810302535, "grad_norm": 0.77734375, "learning_rate": 2.5920873124147343e-06, "loss": 0.9486, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 96 }, { "epoch": 0.013218860724993186, "grad_norm": 0.75, "learning_rate": 2.6193724420191e-06, "loss": 0.9613, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 97 }, { "epoch": 0.013355137639683837, "grad_norm": 0.8046875, "learning_rate": 2.6466575716234653e-06, "loss": 0.9738, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 98 }, { "epoch": 0.01349141455437449, "grad_norm": 0.73828125, "learning_rate": 2.6739427012278312e-06, "loss": 0.9189, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 99 }, { "epoch": 0.01362769146906514, "grad_norm": 0.76171875, "learning_rate": 2.7012278308321963e-06, "loss": 0.9062, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 100 }, { "epoch": 0.013763968383755792, "grad_norm": 0.9140625, "learning_rate": 2.7285129604365623e-06, "loss": 0.9733, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 101 }, { "epoch": 0.013900245298446443, "grad_norm": 0.74609375, "learning_rate": 2.755798090040928e-06, "loss": 1.0091, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 102 }, { "epoch": 0.014036522213137094, "grad_norm": 0.6484375, "learning_rate": 2.7830832196452933e-06, "loss": 0.8684, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 103 }, { "epoch": 0.014172799127827746, "grad_norm": 0.85546875, "learning_rate": 2.8103683492496592e-06, "loss": 0.9708, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 104 }, { "epoch": 0.014309076042518397, "grad_norm": 0.7578125, "learning_rate": 2.837653478854025e-06, "loss": 0.9421, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 105 }, { "epoch": 0.014445352957209048, "grad_norm": 0.671875, "learning_rate": 2.8649386084583903e-06, "loss": 0.8681, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 106 }, { "epoch": 0.0145816298718997, "grad_norm": 0.58984375, "learning_rate": 2.892223738062756e-06, "loss": 0.9721, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 107 }, { "epoch": 0.014717906786590351, "grad_norm": 0.59765625, "learning_rate": 2.9195088676671217e-06, "loss": 0.8922, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 108 }, { "epoch": 0.014854183701281004, "grad_norm": 0.60546875, "learning_rate": 2.9467939972714872e-06, "loss": 0.9205, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 109 }, { "epoch": 0.014990460615971654, "grad_norm": 0.65234375, "learning_rate": 2.9740791268758527e-06, "loss": 0.9185, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 110 }, { "epoch": 0.015126737530662305, "grad_norm": 0.61328125, "learning_rate": 3.0013642564802187e-06, "loss": 0.9741, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 111 }, { "epoch": 0.015263014445352958, "grad_norm": 0.59375, "learning_rate": 3.0286493860845838e-06, "loss": 0.9004, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 112 }, { "epoch": 0.015399291360043608, "grad_norm": 0.55078125, "learning_rate": 3.0559345156889497e-06, "loss": 0.8226, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 113 }, { "epoch": 0.01553556827473426, "grad_norm": 0.6015625, "learning_rate": 3.0832196452933156e-06, "loss": 0.9809, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 114 }, { "epoch": 0.01567184518942491, "grad_norm": 0.546875, "learning_rate": 3.1105047748976807e-06, "loss": 0.9122, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 115 }, { "epoch": 0.015808122104115564, "grad_norm": 0.63671875, "learning_rate": 3.1377899045020467e-06, "loss": 1.0556, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 116 }, { "epoch": 0.015944399018806215, "grad_norm": 0.5703125, "learning_rate": 3.165075034106412e-06, "loss": 0.8785, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 117 }, { "epoch": 0.016080675933496866, "grad_norm": 0.490234375, "learning_rate": 3.1923601637107777e-06, "loss": 0.8355, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 118 }, { "epoch": 0.016216952848187517, "grad_norm": 0.55859375, "learning_rate": 3.2196452933151436e-06, "loss": 0.8934, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 119 }, { "epoch": 0.016353229762878167, "grad_norm": 0.5390625, "learning_rate": 3.246930422919509e-06, "loss": 0.9387, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 120 }, { "epoch": 0.01648950667756882, "grad_norm": 0.55078125, "learning_rate": 3.274215552523875e-06, "loss": 1.015, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 121 }, { "epoch": 0.016625783592259472, "grad_norm": 0.515625, "learning_rate": 3.30150068212824e-06, "loss": 0.8957, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 122 }, { "epoch": 0.016762060506950123, "grad_norm": 0.59765625, "learning_rate": 3.328785811732606e-06, "loss": 1.027, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 123 }, { "epoch": 0.016898337421640774, "grad_norm": 0.5546875, "learning_rate": 3.356070941336972e-06, "loss": 1.0047, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 124 }, { "epoch": 0.017034614336331425, "grad_norm": 0.52734375, "learning_rate": 3.383356070941337e-06, "loss": 1.0016, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 125 }, { "epoch": 0.017170891251022075, "grad_norm": 0.53125, "learning_rate": 3.410641200545703e-06, "loss": 0.9449, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 126 }, { "epoch": 0.01730716816571273, "grad_norm": 0.51953125, "learning_rate": 3.4379263301500686e-06, "loss": 0.8808, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 127 }, { "epoch": 0.01744344508040338, "grad_norm": 0.474609375, "learning_rate": 3.465211459754434e-06, "loss": 0.9077, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 128 }, { "epoch": 0.01757972199509403, "grad_norm": 0.53125, "learning_rate": 3.4924965893587996e-06, "loss": 1.001, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 129 }, { "epoch": 0.017715998909784682, "grad_norm": 0.4921875, "learning_rate": 3.5197817189631655e-06, "loss": 0.9224, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 130 }, { "epoch": 0.017852275824475333, "grad_norm": 0.404296875, "learning_rate": 3.5470668485675306e-06, "loss": 0.9159, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 131 }, { "epoch": 0.017988552739165987, "grad_norm": 0.431640625, "learning_rate": 3.5743519781718966e-06, "loss": 0.8568, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 132 }, { "epoch": 0.018124829653856638, "grad_norm": 0.435546875, "learning_rate": 3.6016371077762625e-06, "loss": 0.9877, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 133 }, { "epoch": 0.01826110656854729, "grad_norm": 0.412109375, "learning_rate": 3.6289222373806276e-06, "loss": 0.8403, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 134 }, { "epoch": 0.01839738348323794, "grad_norm": 0.431640625, "learning_rate": 3.6562073669849935e-06, "loss": 0.8537, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 135 }, { "epoch": 0.01853366039792859, "grad_norm": 0.37890625, "learning_rate": 3.6834924965893594e-06, "loss": 0.8537, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 136 }, { "epoch": 0.018669937312619244, "grad_norm": 0.373046875, "learning_rate": 3.7107776261937245e-06, "loss": 0.8592, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 137 }, { "epoch": 0.018806214227309895, "grad_norm": 0.59375, "learning_rate": 3.7380627557980905e-06, "loss": 0.9983, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 138 }, { "epoch": 0.018942491142000546, "grad_norm": 0.400390625, "learning_rate": 3.765347885402456e-06, "loss": 0.8449, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 139 }, { "epoch": 0.019078768056691196, "grad_norm": 0.38671875, "learning_rate": 3.7926330150068215e-06, "loss": 0.8582, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 140 }, { "epoch": 0.019215044971381847, "grad_norm": 0.435546875, "learning_rate": 3.819918144611187e-06, "loss": 0.9499, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 141 }, { "epoch": 0.019351321886072498, "grad_norm": 0.37890625, "learning_rate": 3.847203274215553e-06, "loss": 0.8773, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 142 }, { "epoch": 0.019487598800763152, "grad_norm": 0.4375, "learning_rate": 3.874488403819918e-06, "loss": 0.9453, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 143 }, { "epoch": 0.019623875715453803, "grad_norm": 0.404296875, "learning_rate": 3.901773533424284e-06, "loss": 0.9217, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 144 }, { "epoch": 0.019760152630144454, "grad_norm": 0.37109375, "learning_rate": 3.92905866302865e-06, "loss": 0.8681, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 145 }, { "epoch": 0.019896429544835104, "grad_norm": 0.41015625, "learning_rate": 3.956343792633016e-06, "loss": 0.9217, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 146 }, { "epoch": 0.020032706459525755, "grad_norm": 0.41015625, "learning_rate": 3.983628922237381e-06, "loss": 0.9639, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 147 }, { "epoch": 0.02016898337421641, "grad_norm": 0.392578125, "learning_rate": 4.010914051841747e-06, "loss": 0.8277, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 148 }, { "epoch": 0.02030526028890706, "grad_norm": 0.37890625, "learning_rate": 4.038199181446113e-06, "loss": 0.9014, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 149 }, { "epoch": 0.02044153720359771, "grad_norm": 0.36328125, "learning_rate": 4.065484311050478e-06, "loss": 0.872, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 150 }, { "epoch": 0.02057781411828836, "grad_norm": 0.41796875, "learning_rate": 4.092769440654844e-06, "loss": 0.9654, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 151 }, { "epoch": 0.020714091032979012, "grad_norm": 0.451171875, "learning_rate": 4.120054570259209e-06, "loss": 0.8787, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 152 }, { "epoch": 0.020850367947669663, "grad_norm": 0.37890625, "learning_rate": 4.147339699863575e-06, "loss": 0.8307, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 153 }, { "epoch": 0.020986644862360317, "grad_norm": 0.384765625, "learning_rate": 4.17462482946794e-06, "loss": 0.9126, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 154 }, { "epoch": 0.021122921777050968, "grad_norm": 0.412109375, "learning_rate": 4.201909959072306e-06, "loss": 0.9307, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 155 }, { "epoch": 0.02125919869174162, "grad_norm": 0.439453125, "learning_rate": 4.229195088676671e-06, "loss": 0.9307, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 156 }, { "epoch": 0.02139547560643227, "grad_norm": 0.404296875, "learning_rate": 4.256480218281037e-06, "loss": 0.9201, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 157 }, { "epoch": 0.02153175252112292, "grad_norm": 0.390625, "learning_rate": 4.283765347885403e-06, "loss": 0.9762, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 158 }, { "epoch": 0.021668029435813575, "grad_norm": 0.32421875, "learning_rate": 4.311050477489768e-06, "loss": 0.8446, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 159 }, { "epoch": 0.021804306350504225, "grad_norm": 0.359375, "learning_rate": 4.338335607094134e-06, "loss": 0.9245, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 160 }, { "epoch": 0.021940583265194876, "grad_norm": 0.380859375, "learning_rate": 4.3656207366985e-06, "loss": 0.9548, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 161 }, { "epoch": 0.022076860179885527, "grad_norm": 0.31640625, "learning_rate": 4.392905866302865e-06, "loss": 0.8383, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 162 }, { "epoch": 0.022213137094576178, "grad_norm": 0.41796875, "learning_rate": 4.420190995907231e-06, "loss": 0.9038, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 163 }, { "epoch": 0.022349414009266832, "grad_norm": 0.396484375, "learning_rate": 4.447476125511597e-06, "loss": 0.8859, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 164 }, { "epoch": 0.022485690923957483, "grad_norm": 0.419921875, "learning_rate": 4.474761255115962e-06, "loss": 0.8197, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 165 }, { "epoch": 0.022621967838648133, "grad_norm": 0.3203125, "learning_rate": 4.502046384720328e-06, "loss": 0.8766, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 166 }, { "epoch": 0.022758244753338784, "grad_norm": 0.33984375, "learning_rate": 4.529331514324694e-06, "loss": 0.8435, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 167 }, { "epoch": 0.022894521668029435, "grad_norm": 0.314453125, "learning_rate": 4.556616643929059e-06, "loss": 0.7589, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 168 }, { "epoch": 0.023030798582720086, "grad_norm": 0.3359375, "learning_rate": 4.583901773533425e-06, "loss": 0.9079, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 169 }, { "epoch": 0.02316707549741074, "grad_norm": 0.4375, "learning_rate": 4.611186903137791e-06, "loss": 0.9744, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 170 }, { "epoch": 0.02330335241210139, "grad_norm": 0.361328125, "learning_rate": 4.638472032742156e-06, "loss": 0.8879, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 171 }, { "epoch": 0.02343962932679204, "grad_norm": 0.376953125, "learning_rate": 4.665757162346522e-06, "loss": 0.8947, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 172 }, { "epoch": 0.023575906241482692, "grad_norm": 0.43359375, "learning_rate": 4.693042291950888e-06, "loss": 1.042, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 173 }, { "epoch": 0.023712183156173343, "grad_norm": 0.361328125, "learning_rate": 4.720327421555253e-06, "loss": 0.8711, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 174 }, { "epoch": 0.023848460070863997, "grad_norm": 0.384765625, "learning_rate": 4.747612551159619e-06, "loss": 0.8823, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 175 }, { "epoch": 0.023984736985554648, "grad_norm": 0.337890625, "learning_rate": 4.774897680763984e-06, "loss": 0.8709, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 176 }, { "epoch": 0.0241210139002453, "grad_norm": 0.34765625, "learning_rate": 4.80218281036835e-06, "loss": 0.896, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 177 }, { "epoch": 0.02425729081493595, "grad_norm": 0.33984375, "learning_rate": 4.829467939972715e-06, "loss": 0.9146, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 178 }, { "epoch": 0.0243935677296266, "grad_norm": 0.33203125, "learning_rate": 4.856753069577081e-06, "loss": 0.8484, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 179 }, { "epoch": 0.024529844644317254, "grad_norm": 0.298828125, "learning_rate": 4.884038199181447e-06, "loss": 0.8759, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 180 }, { "epoch": 0.024666121559007905, "grad_norm": 0.384765625, "learning_rate": 4.911323328785812e-06, "loss": 0.8168, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 181 }, { "epoch": 0.024802398473698556, "grad_norm": 0.349609375, "learning_rate": 4.938608458390178e-06, "loss": 0.8451, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 182 }, { "epoch": 0.024938675388389207, "grad_norm": 0.279296875, "learning_rate": 4.965893587994544e-06, "loss": 0.7996, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 183 }, { "epoch": 0.025074952303079857, "grad_norm": 0.314453125, "learning_rate": 4.993178717598909e-06, "loss": 0.8627, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 184 }, { "epoch": 0.025211229217770508, "grad_norm": 0.310546875, "learning_rate": 5.0204638472032755e-06, "loss": 0.8276, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 185 }, { "epoch": 0.025347506132461162, "grad_norm": 0.298828125, "learning_rate": 5.047748976807641e-06, "loss": 0.8306, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 186 }, { "epoch": 0.025483783047151813, "grad_norm": 0.333984375, "learning_rate": 5.075034106412006e-06, "loss": 0.8611, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 187 }, { "epoch": 0.025620059961842464, "grad_norm": 0.33984375, "learning_rate": 5.102319236016372e-06, "loss": 0.856, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 188 }, { "epoch": 0.025756336876533115, "grad_norm": 0.33203125, "learning_rate": 5.1296043656207375e-06, "loss": 0.8397, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 189 }, { "epoch": 0.025892613791223765, "grad_norm": 0.333984375, "learning_rate": 5.156889495225103e-06, "loss": 0.8822, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 190 }, { "epoch": 0.02602889070591442, "grad_norm": 0.37109375, "learning_rate": 5.1841746248294686e-06, "loss": 0.8955, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 191 }, { "epoch": 0.02616516762060507, "grad_norm": 0.3203125, "learning_rate": 5.2114597544338345e-06, "loss": 0.8821, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 192 }, { "epoch": 0.02630144453529572, "grad_norm": 0.3359375, "learning_rate": 5.2387448840382e-06, "loss": 0.8985, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 193 }, { "epoch": 0.026437721449986372, "grad_norm": 0.3515625, "learning_rate": 5.2660300136425655e-06, "loss": 0.8903, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 194 }, { "epoch": 0.026573998364677023, "grad_norm": 0.2890625, "learning_rate": 5.293315143246931e-06, "loss": 0.8107, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 195 }, { "epoch": 0.026710275279367673, "grad_norm": 0.408203125, "learning_rate": 5.3206002728512966e-06, "loss": 0.8339, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 196 }, { "epoch": 0.026846552194058328, "grad_norm": 0.298828125, "learning_rate": 5.3478854024556625e-06, "loss": 0.8519, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 197 }, { "epoch": 0.02698282910874898, "grad_norm": 0.294921875, "learning_rate": 5.375170532060028e-06, "loss": 0.8003, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 198 }, { "epoch": 0.02711910602343963, "grad_norm": 0.36328125, "learning_rate": 5.402455661664393e-06, "loss": 0.8467, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 199 }, { "epoch": 0.02725538293813028, "grad_norm": 3.171875, "learning_rate": 5.4297407912687595e-06, "loss": 0.9867, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 200 }, { "epoch": 0.02739165985282093, "grad_norm": 0.37890625, "learning_rate": 5.4570259208731245e-06, "loss": 0.853, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 201 }, { "epoch": 0.027527936767511585, "grad_norm": 0.29296875, "learning_rate": 5.48431105047749e-06, "loss": 0.8643, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 202 }, { "epoch": 0.027664213682202236, "grad_norm": 0.373046875, "learning_rate": 5.511596180081856e-06, "loss": 0.8943, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 203 }, { "epoch": 0.027800490596892886, "grad_norm": 0.31640625, "learning_rate": 5.5388813096862215e-06, "loss": 0.8409, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 204 }, { "epoch": 0.027936767511583537, "grad_norm": 0.302734375, "learning_rate": 5.566166439290587e-06, "loss": 0.8269, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 205 }, { "epoch": 0.028073044426274188, "grad_norm": 0.361328125, "learning_rate": 5.593451568894953e-06, "loss": 0.8719, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 206 }, { "epoch": 0.028209321340964842, "grad_norm": 0.35546875, "learning_rate": 5.6207366984993185e-06, "loss": 0.8071, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 207 }, { "epoch": 0.028345598255655493, "grad_norm": 0.431640625, "learning_rate": 5.6480218281036836e-06, "loss": 0.8808, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 208 }, { "epoch": 0.028481875170346144, "grad_norm": 0.310546875, "learning_rate": 5.67530695770805e-06, "loss": 0.7856, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 209 }, { "epoch": 0.028618152085036794, "grad_norm": 0.31640625, "learning_rate": 5.7025920873124154e-06, "loss": 0.9004, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 210 }, { "epoch": 0.028754428999727445, "grad_norm": 0.32421875, "learning_rate": 5.7298772169167805e-06, "loss": 0.819, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 211 }, { "epoch": 0.028890705914418096, "grad_norm": 0.2890625, "learning_rate": 5.7571623465211465e-06, "loss": 0.8166, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 212 }, { "epoch": 0.02902698282910875, "grad_norm": 0.337890625, "learning_rate": 5.784447476125512e-06, "loss": 0.8666, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 213 }, { "epoch": 0.0291632597437994, "grad_norm": 0.44921875, "learning_rate": 5.8117326057298775e-06, "loss": 0.8117, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 214 }, { "epoch": 0.02929953665849005, "grad_norm": 0.31640625, "learning_rate": 5.839017735334243e-06, "loss": 0.7816, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 215 }, { "epoch": 0.029435813573180702, "grad_norm": 0.255859375, "learning_rate": 5.8663028649386085e-06, "loss": 0.7351, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 216 }, { "epoch": 0.029572090487871353, "grad_norm": 0.34375, "learning_rate": 5.8935879945429744e-06, "loss": 0.7756, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 217 }, { "epoch": 0.029708367402562007, "grad_norm": 0.3515625, "learning_rate": 5.92087312414734e-06, "loss": 0.9409, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 218 }, { "epoch": 0.029844644317252658, "grad_norm": 0.34765625, "learning_rate": 5.9481582537517055e-06, "loss": 0.8888, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 219 }, { "epoch": 0.02998092123194331, "grad_norm": 0.439453125, "learning_rate": 5.975443383356071e-06, "loss": 0.723, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 220 }, { "epoch": 0.03011719814663396, "grad_norm": 0.37109375, "learning_rate": 6.002728512960437e-06, "loss": 0.8567, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 221 }, { "epoch": 0.03025347506132461, "grad_norm": 0.5078125, "learning_rate": 6.0300136425648024e-06, "loss": 0.9582, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 222 }, { "epoch": 0.030389751976015265, "grad_norm": 0.306640625, "learning_rate": 6.0572987721691675e-06, "loss": 0.8269, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 223 }, { "epoch": 0.030526028890705915, "grad_norm": 0.314453125, "learning_rate": 6.084583901773534e-06, "loss": 0.7906, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 224 }, { "epoch": 0.030662305805396566, "grad_norm": 0.349609375, "learning_rate": 6.111869031377899e-06, "loss": 0.88, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 225 }, { "epoch": 0.030798582720087217, "grad_norm": 0.314453125, "learning_rate": 6.1391541609822645e-06, "loss": 0.8707, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 226 }, { "epoch": 0.030934859634777868, "grad_norm": 0.2578125, "learning_rate": 6.166439290586631e-06, "loss": 0.8543, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 227 }, { "epoch": 0.03107113654946852, "grad_norm": 0.361328125, "learning_rate": 6.193724420190996e-06, "loss": 0.8966, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 228 }, { "epoch": 0.031207413464159173, "grad_norm": 0.375, "learning_rate": 6.2210095497953614e-06, "loss": 0.8893, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 229 }, { "epoch": 0.03134369037884982, "grad_norm": 0.314453125, "learning_rate": 6.248294679399728e-06, "loss": 0.8253, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 230 }, { "epoch": 0.031479967293540474, "grad_norm": 0.28515625, "learning_rate": 6.275579809004093e-06, "loss": 0.8881, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 231 }, { "epoch": 0.03161624420823113, "grad_norm": 0.271484375, "learning_rate": 6.302864938608458e-06, "loss": 0.8412, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 232 }, { "epoch": 0.031752521122921776, "grad_norm": 0.3203125, "learning_rate": 6.330150068212824e-06, "loss": 0.7829, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 233 }, { "epoch": 0.03188879803761243, "grad_norm": 0.30078125, "learning_rate": 6.35743519781719e-06, "loss": 0.8153, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 234 }, { "epoch": 0.03202507495230308, "grad_norm": 0.35546875, "learning_rate": 6.384720327421555e-06, "loss": 0.8908, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 235 }, { "epoch": 0.03216135186699373, "grad_norm": 0.30078125, "learning_rate": 6.412005457025921e-06, "loss": 0.8675, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 236 }, { "epoch": 0.032297628781684386, "grad_norm": 0.341796875, "learning_rate": 6.439290586630287e-06, "loss": 0.9082, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 237 }, { "epoch": 0.03243390569637503, "grad_norm": 0.30078125, "learning_rate": 6.466575716234653e-06, "loss": 0.8358, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 238 }, { "epoch": 0.03257018261106569, "grad_norm": 0.2890625, "learning_rate": 6.493860845839018e-06, "loss": 0.853, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 239 }, { "epoch": 0.032706459525756335, "grad_norm": 0.32421875, "learning_rate": 6.521145975443383e-06, "loss": 0.7504, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 240 }, { "epoch": 0.03284273644044699, "grad_norm": 0.287109375, "learning_rate": 6.54843110504775e-06, "loss": 0.8706, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 241 }, { "epoch": 0.03297901335513764, "grad_norm": 0.3125, "learning_rate": 6.575716234652115e-06, "loss": 0.7849, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 242 }, { "epoch": 0.03311529026982829, "grad_norm": 0.291015625, "learning_rate": 6.60300136425648e-06, "loss": 0.8021, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 243 }, { "epoch": 0.033251567184518944, "grad_norm": 0.3046875, "learning_rate": 6.630286493860847e-06, "loss": 0.8631, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 244 }, { "epoch": 0.03338784409920959, "grad_norm": 0.349609375, "learning_rate": 6.657571623465212e-06, "loss": 0.9218, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 245 }, { "epoch": 0.033524121013900246, "grad_norm": 0.35546875, "learning_rate": 6.684856753069577e-06, "loss": 0.8197, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 246 }, { "epoch": 0.03366039792859089, "grad_norm": 0.33984375, "learning_rate": 6.712141882673944e-06, "loss": 0.8398, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 247 }, { "epoch": 0.03379667484328155, "grad_norm": 0.26953125, "learning_rate": 6.739427012278309e-06, "loss": 0.7522, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 248 }, { "epoch": 0.0339329517579722, "grad_norm": 0.359375, "learning_rate": 6.766712141882674e-06, "loss": 0.7551, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 249 }, { "epoch": 0.03406922867266285, "grad_norm": 0.4140625, "learning_rate": 6.79399727148704e-06, "loss": 0.9023, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 250 }, { "epoch": 0.0342055055873535, "grad_norm": 0.314453125, "learning_rate": 6.821282401091406e-06, "loss": 0.954, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 251 }, { "epoch": 0.03434178250204415, "grad_norm": 0.341796875, "learning_rate": 6.848567530695771e-06, "loss": 0.824, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 252 }, { "epoch": 0.034478059416734805, "grad_norm": 0.353515625, "learning_rate": 6.875852660300137e-06, "loss": 0.9014, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 253 }, { "epoch": 0.03461433633142546, "grad_norm": 0.34375, "learning_rate": 6.903137789904503e-06, "loss": 0.8257, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 254 }, { "epoch": 0.034750613246116106, "grad_norm": 0.388671875, "learning_rate": 6.930422919508868e-06, "loss": 0.9038, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 255 }, { "epoch": 0.03488689016080676, "grad_norm": 0.333984375, "learning_rate": 6.957708049113234e-06, "loss": 0.9011, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 256 }, { "epoch": 0.03502316707549741, "grad_norm": 0.306640625, "learning_rate": 6.984993178717599e-06, "loss": 0.8529, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 257 }, { "epoch": 0.03515944399018806, "grad_norm": 0.322265625, "learning_rate": 7.012278308321965e-06, "loss": 0.8027, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 258 }, { "epoch": 0.035295720904878716, "grad_norm": 0.337890625, "learning_rate": 7.039563437926331e-06, "loss": 0.8737, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 259 }, { "epoch": 0.035431997819569364, "grad_norm": 0.265625, "learning_rate": 7.066848567530696e-06, "loss": 0.8174, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 260 }, { "epoch": 0.03556827473426002, "grad_norm": 0.359375, "learning_rate": 7.094133697135061e-06, "loss": 0.8628, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 261 }, { "epoch": 0.035704551648950665, "grad_norm": 0.486328125, "learning_rate": 7.121418826739428e-06, "loss": 0.9444, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 262 }, { "epoch": 0.03584082856364132, "grad_norm": 0.380859375, "learning_rate": 7.148703956343793e-06, "loss": 0.8445, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 263 }, { "epoch": 0.035977105478331974, "grad_norm": 0.306640625, "learning_rate": 7.175989085948158e-06, "loss": 0.869, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 264 }, { "epoch": 0.03611338239302262, "grad_norm": 0.3046875, "learning_rate": 7.203274215552525e-06, "loss": 0.8636, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 265 }, { "epoch": 0.036249659307713275, "grad_norm": 0.294921875, "learning_rate": 7.23055934515689e-06, "loss": 0.9024, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 266 }, { "epoch": 0.03638593622240392, "grad_norm": 0.318359375, "learning_rate": 7.257844474761255e-06, "loss": 0.7898, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 267 }, { "epoch": 0.03652221313709458, "grad_norm": 0.310546875, "learning_rate": 7.285129604365622e-06, "loss": 0.8167, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 268 }, { "epoch": 0.03665849005178523, "grad_norm": 0.353515625, "learning_rate": 7.312414733969987e-06, "loss": 0.8028, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 269 }, { "epoch": 0.03679476696647588, "grad_norm": 0.279296875, "learning_rate": 7.339699863574352e-06, "loss": 0.7567, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 270 }, { "epoch": 0.03693104388116653, "grad_norm": 0.328125, "learning_rate": 7.366984993178719e-06, "loss": 0.7976, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 271 }, { "epoch": 0.03706732079585718, "grad_norm": 0.421875, "learning_rate": 7.394270122783084e-06, "loss": 0.8654, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 272 }, { "epoch": 0.037203597710547834, "grad_norm": 0.263671875, "learning_rate": 7.421555252387449e-06, "loss": 0.8197, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 273 }, { "epoch": 0.03733987462523849, "grad_norm": 0.259765625, "learning_rate": 7.448840381991815e-06, "loss": 0.7665, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 274 }, { "epoch": 0.037476151539929135, "grad_norm": 0.3046875, "learning_rate": 7.476125511596181e-06, "loss": 0.8359, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 275 }, { "epoch": 0.03761242845461979, "grad_norm": 0.265625, "learning_rate": 7.503410641200546e-06, "loss": 0.8297, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 276 }, { "epoch": 0.03774870536931044, "grad_norm": 0.328125, "learning_rate": 7.530695770804912e-06, "loss": 0.8504, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 277 }, { "epoch": 0.03788498228400109, "grad_norm": 0.349609375, "learning_rate": 7.557980900409277e-06, "loss": 0.8153, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 278 }, { "epoch": 0.03802125919869174, "grad_norm": 0.3125, "learning_rate": 7.585266030013643e-06, "loss": 0.8238, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 279 }, { "epoch": 0.03815753611338239, "grad_norm": 0.26171875, "learning_rate": 7.612551159618009e-06, "loss": 0.7655, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 280 }, { "epoch": 0.03829381302807305, "grad_norm": 0.29296875, "learning_rate": 7.639836289222374e-06, "loss": 0.8106, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 281 }, { "epoch": 0.038430089942763694, "grad_norm": 0.30859375, "learning_rate": 7.667121418826739e-06, "loss": 0.8623, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 282 }, { "epoch": 0.03856636685745435, "grad_norm": 0.271484375, "learning_rate": 7.694406548431106e-06, "loss": 0.8383, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 283 }, { "epoch": 0.038702643772144996, "grad_norm": 0.333984375, "learning_rate": 7.721691678035471e-06, "loss": 0.9154, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 284 }, { "epoch": 0.03883892068683565, "grad_norm": 0.3046875, "learning_rate": 7.748976807639836e-06, "loss": 0.8198, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 285 }, { "epoch": 0.038975197601526304, "grad_norm": 0.32421875, "learning_rate": 7.776261937244203e-06, "loss": 0.8227, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 286 }, { "epoch": 0.03911147451621695, "grad_norm": 0.341796875, "learning_rate": 7.803547066848568e-06, "loss": 0.8381, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 287 }, { "epoch": 0.039247751430907606, "grad_norm": 0.296875, "learning_rate": 7.830832196452933e-06, "loss": 0.8489, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 288 }, { "epoch": 0.03938402834559825, "grad_norm": 0.318359375, "learning_rate": 7.8581173260573e-06, "loss": 0.8184, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 289 }, { "epoch": 0.03952030526028891, "grad_norm": 0.337890625, "learning_rate": 7.885402455661665e-06, "loss": 0.8816, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 290 }, { "epoch": 0.03965658217497956, "grad_norm": 0.30859375, "learning_rate": 7.912687585266032e-06, "loss": 0.7644, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 291 }, { "epoch": 0.03979285908967021, "grad_norm": 0.291015625, "learning_rate": 7.939972714870397e-06, "loss": 0.8283, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 292 }, { "epoch": 0.03992913600436086, "grad_norm": 0.361328125, "learning_rate": 7.967257844474762e-06, "loss": 0.932, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 293 }, { "epoch": 0.04006541291905151, "grad_norm": 0.392578125, "learning_rate": 7.994542974079129e-06, "loss": 0.8055, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 294 }, { "epoch": 0.040201689833742164, "grad_norm": 0.26953125, "learning_rate": 8.021828103683494e-06, "loss": 0.8107, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 295 }, { "epoch": 0.04033796674843282, "grad_norm": 0.388671875, "learning_rate": 8.049113233287859e-06, "loss": 0.8055, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 296 }, { "epoch": 0.040474243663123466, "grad_norm": 0.314453125, "learning_rate": 8.076398362892226e-06, "loss": 0.8777, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 297 }, { "epoch": 0.04061052057781412, "grad_norm": 0.361328125, "learning_rate": 8.10368349249659e-06, "loss": 0.879, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 298 }, { "epoch": 0.04074679749250477, "grad_norm": 0.306640625, "learning_rate": 8.130968622100956e-06, "loss": 0.9055, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 299 }, { "epoch": 0.04088307440719542, "grad_norm": 0.474609375, "learning_rate": 8.158253751705323e-06, "loss": 0.9196, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 300 }, { "epoch": 0.041019351321886076, "grad_norm": 0.267578125, "learning_rate": 8.185538881309688e-06, "loss": 0.7828, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 301 }, { "epoch": 0.04115562823657672, "grad_norm": 0.2734375, "learning_rate": 8.212824010914053e-06, "loss": 0.7405, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 302 }, { "epoch": 0.04129190515126738, "grad_norm": 0.353515625, "learning_rate": 8.240109140518418e-06, "loss": 0.8292, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 303 }, { "epoch": 0.041428182065958025, "grad_norm": 0.287109375, "learning_rate": 8.267394270122785e-06, "loss": 0.836, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 304 }, { "epoch": 0.04156445898064868, "grad_norm": 0.369140625, "learning_rate": 8.29467939972715e-06, "loss": 0.8033, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 305 }, { "epoch": 0.041700735895339326, "grad_norm": 0.318359375, "learning_rate": 8.321964529331515e-06, "loss": 0.8778, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 306 }, { "epoch": 0.04183701281002998, "grad_norm": 0.28125, "learning_rate": 8.34924965893588e-06, "loss": 0.7474, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 307 }, { "epoch": 0.041973289724720635, "grad_norm": 0.3515625, "learning_rate": 8.376534788540247e-06, "loss": 0.9562, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 308 }, { "epoch": 0.04210956663941128, "grad_norm": 0.302734375, "learning_rate": 8.403819918144612e-06, "loss": 0.8215, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 309 }, { "epoch": 0.042245843554101936, "grad_norm": 0.349609375, "learning_rate": 8.431105047748977e-06, "loss": 0.8502, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 310 }, { "epoch": 0.04238212046879258, "grad_norm": 0.388671875, "learning_rate": 8.458390177353342e-06, "loss": 0.9167, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 311 }, { "epoch": 0.04251839738348324, "grad_norm": 0.255859375, "learning_rate": 8.485675306957709e-06, "loss": 0.8254, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 312 }, { "epoch": 0.04265467429817389, "grad_norm": 0.27734375, "learning_rate": 8.512960436562074e-06, "loss": 0.79, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 313 }, { "epoch": 0.04279095121286454, "grad_norm": 0.251953125, "learning_rate": 8.540245566166439e-06, "loss": 0.7869, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 314 }, { "epoch": 0.04292722812755519, "grad_norm": 0.408203125, "learning_rate": 8.567530695770806e-06, "loss": 0.9243, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 315 }, { "epoch": 0.04306350504224584, "grad_norm": 0.28125, "learning_rate": 8.59481582537517e-06, "loss": 0.9108, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 316 }, { "epoch": 0.043199781956936495, "grad_norm": 0.294921875, "learning_rate": 8.622100954979536e-06, "loss": 0.7624, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 317 }, { "epoch": 0.04333605887162715, "grad_norm": 0.275390625, "learning_rate": 8.649386084583903e-06, "loss": 0.8656, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 318 }, { "epoch": 0.043472335786317796, "grad_norm": 0.296875, "learning_rate": 8.676671214188268e-06, "loss": 0.7964, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 319 }, { "epoch": 0.04360861270100845, "grad_norm": 0.29296875, "learning_rate": 8.703956343792633e-06, "loss": 0.8566, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 320 }, { "epoch": 0.0437448896156991, "grad_norm": 0.318359375, "learning_rate": 8.731241473397e-06, "loss": 0.8522, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 321 }, { "epoch": 0.04388116653038975, "grad_norm": 0.3203125, "learning_rate": 8.758526603001365e-06, "loss": 0.7471, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 322 }, { "epoch": 0.044017443445080406, "grad_norm": 0.341796875, "learning_rate": 8.78581173260573e-06, "loss": 0.9304, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 323 }, { "epoch": 0.044153720359771054, "grad_norm": 0.34765625, "learning_rate": 8.813096862210097e-06, "loss": 0.9073, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 324 }, { "epoch": 0.04428999727446171, "grad_norm": 0.3125, "learning_rate": 8.840381991814462e-06, "loss": 0.8984, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 325 }, { "epoch": 0.044426274189152355, "grad_norm": 0.31640625, "learning_rate": 8.867667121418827e-06, "loss": 0.7837, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 326 }, { "epoch": 0.04456255110384301, "grad_norm": 0.2890625, "learning_rate": 8.894952251023194e-06, "loss": 0.8781, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 327 }, { "epoch": 0.044698828018533664, "grad_norm": 0.8671875, "learning_rate": 8.922237380627559e-06, "loss": 0.7694, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 328 }, { "epoch": 0.04483510493322431, "grad_norm": 0.384765625, "learning_rate": 8.949522510231924e-06, "loss": 0.8526, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 329 }, { "epoch": 0.044971381847914965, "grad_norm": 0.287109375, "learning_rate": 8.97680763983629e-06, "loss": 0.8327, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 330 }, { "epoch": 0.04510765876260561, "grad_norm": 0.314453125, "learning_rate": 9.004092769440656e-06, "loss": 0.756, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 331 }, { "epoch": 0.04524393567729627, "grad_norm": 0.27734375, "learning_rate": 9.03137789904502e-06, "loss": 0.8234, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 332 }, { "epoch": 0.045380212591986914, "grad_norm": 0.353515625, "learning_rate": 9.058663028649387e-06, "loss": 0.8137, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 333 }, { "epoch": 0.04551648950667757, "grad_norm": 0.33984375, "learning_rate": 9.085948158253753e-06, "loss": 0.8907, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 334 }, { "epoch": 0.04565276642136822, "grad_norm": 0.3359375, "learning_rate": 9.113233287858118e-06, "loss": 0.8789, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 335 }, { "epoch": 0.04578904333605887, "grad_norm": 0.310546875, "learning_rate": 9.140518417462484e-06, "loss": 0.8488, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 336 }, { "epoch": 0.045925320250749524, "grad_norm": 0.29296875, "learning_rate": 9.16780354706685e-06, "loss": 0.8865, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 337 }, { "epoch": 0.04606159716544017, "grad_norm": 0.314453125, "learning_rate": 9.195088676671215e-06, "loss": 0.8416, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 338 }, { "epoch": 0.046197874080130825, "grad_norm": 0.28515625, "learning_rate": 9.222373806275581e-06, "loss": 0.7195, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 339 }, { "epoch": 0.04633415099482148, "grad_norm": 0.423828125, "learning_rate": 9.249658935879946e-06, "loss": 0.958, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 340 }, { "epoch": 0.04647042790951213, "grad_norm": 0.341796875, "learning_rate": 9.276944065484312e-06, "loss": 0.7793, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 341 }, { "epoch": 0.04660670482420278, "grad_norm": 0.291015625, "learning_rate": 9.304229195088678e-06, "loss": 0.7959, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 342 }, { "epoch": 0.04674298173889343, "grad_norm": 0.310546875, "learning_rate": 9.331514324693043e-06, "loss": 0.8278, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 343 }, { "epoch": 0.04687925865358408, "grad_norm": 0.2890625, "learning_rate": 9.358799454297409e-06, "loss": 0.8274, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 344 }, { "epoch": 0.04701553556827474, "grad_norm": 0.267578125, "learning_rate": 9.386084583901775e-06, "loss": 0.8577, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 345 }, { "epoch": 0.047151812482965384, "grad_norm": 0.2578125, "learning_rate": 9.41336971350614e-06, "loss": 0.7848, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 346 }, { "epoch": 0.04728808939765604, "grad_norm": 0.28125, "learning_rate": 9.440654843110505e-06, "loss": 0.8025, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 347 }, { "epoch": 0.047424366312346686, "grad_norm": 0.29296875, "learning_rate": 9.46793997271487e-06, "loss": 0.8125, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 348 }, { "epoch": 0.04756064322703734, "grad_norm": 0.2578125, "learning_rate": 9.495225102319237e-06, "loss": 0.8057, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 349 }, { "epoch": 0.047696920141727994, "grad_norm": 0.357421875, "learning_rate": 9.522510231923602e-06, "loss": 0.8542, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 350 }, { "epoch": 0.04783319705641864, "grad_norm": 0.291015625, "learning_rate": 9.549795361527968e-06, "loss": 0.8119, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 351 }, { "epoch": 0.047969473971109296, "grad_norm": 0.41015625, "learning_rate": 9.577080491132333e-06, "loss": 0.8879, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 352 }, { "epoch": 0.04810575088579994, "grad_norm": 0.251953125, "learning_rate": 9.6043656207367e-06, "loss": 0.8442, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 353 }, { "epoch": 0.0482420278004906, "grad_norm": 0.2890625, "learning_rate": 9.631650750341064e-06, "loss": 0.8382, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 354 }, { "epoch": 0.04837830471518125, "grad_norm": 0.62890625, "learning_rate": 9.65893587994543e-06, "loss": 0.9421, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 355 }, { "epoch": 0.0485145816298719, "grad_norm": 0.255859375, "learning_rate": 9.686221009549796e-06, "loss": 0.7221, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 356 }, { "epoch": 0.04865085854456255, "grad_norm": 0.328125, "learning_rate": 9.713506139154161e-06, "loss": 0.8118, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 357 }, { "epoch": 0.0487871354592532, "grad_norm": 0.33203125, "learning_rate": 9.740791268758527e-06, "loss": 0.8568, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 358 }, { "epoch": 0.048923412373943855, "grad_norm": 0.345703125, "learning_rate": 9.768076398362893e-06, "loss": 0.8487, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 359 }, { "epoch": 0.04905968928863451, "grad_norm": 0.283203125, "learning_rate": 9.795361527967258e-06, "loss": 0.78, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 360 }, { "epoch": 0.049195966203325156, "grad_norm": 0.3203125, "learning_rate": 9.822646657571624e-06, "loss": 0.8244, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 361 }, { "epoch": 0.04933224311801581, "grad_norm": 0.322265625, "learning_rate": 9.84993178717599e-06, "loss": 0.8275, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 362 }, { "epoch": 0.04946852003270646, "grad_norm": 0.333984375, "learning_rate": 9.877216916780355e-06, "loss": 0.8222, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 363 }, { "epoch": 0.04960479694739711, "grad_norm": 0.27734375, "learning_rate": 9.90450204638472e-06, "loss": 0.7549, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 364 }, { "epoch": 0.04974107386208776, "grad_norm": 0.341796875, "learning_rate": 9.931787175989087e-06, "loss": 0.8462, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 365 }, { "epoch": 0.04987735077677841, "grad_norm": 0.283203125, "learning_rate": 9.959072305593452e-06, "loss": 0.7197, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 366 }, { "epoch": 0.05001362769146907, "grad_norm": 0.31640625, "learning_rate": 9.986357435197817e-06, "loss": 0.7846, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 367 }, { "epoch": 0.050149904606159715, "grad_norm": 0.255859375, "learning_rate": 1.0013642564802184e-05, "loss": 0.751, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 368 }, { "epoch": 0.05028618152085037, "grad_norm": 0.2578125, "learning_rate": 1.0040927694406551e-05, "loss": 0.7988, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 369 }, { "epoch": 0.050422458435541016, "grad_norm": 0.27734375, "learning_rate": 1.0068212824010914e-05, "loss": 0.8324, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 370 }, { "epoch": 0.05055873535023167, "grad_norm": 0.267578125, "learning_rate": 1.0095497953615281e-05, "loss": 0.7502, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 371 }, { "epoch": 0.050695012264922325, "grad_norm": 0.328125, "learning_rate": 1.0122783083219648e-05, "loss": 0.8031, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 372 }, { "epoch": 0.05083128917961297, "grad_norm": 0.421875, "learning_rate": 1.0150068212824011e-05, "loss": 0.9546, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 373 }, { "epoch": 0.050967566094303626, "grad_norm": 0.349609375, "learning_rate": 1.0177353342428378e-05, "loss": 0.8017, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 374 }, { "epoch": 0.051103843008994274, "grad_norm": 0.30078125, "learning_rate": 1.0204638472032743e-05, "loss": 0.7675, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 375 }, { "epoch": 0.05124011992368493, "grad_norm": 0.27734375, "learning_rate": 1.0231923601637108e-05, "loss": 0.8342, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 376 }, { "epoch": 0.05137639683837558, "grad_norm": 0.279296875, "learning_rate": 1.0259208731241475e-05, "loss": 0.7719, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 377 }, { "epoch": 0.05151267375306623, "grad_norm": 0.28515625, "learning_rate": 1.028649386084584e-05, "loss": 0.8411, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 378 }, { "epoch": 0.051648950667756884, "grad_norm": 0.267578125, "learning_rate": 1.0313778990450205e-05, "loss": 0.7837, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 379 }, { "epoch": 0.05178522758244753, "grad_norm": 0.27734375, "learning_rate": 1.0341064120054572e-05, "loss": 0.831, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 380 }, { "epoch": 0.051921504497138185, "grad_norm": 0.373046875, "learning_rate": 1.0368349249658937e-05, "loss": 0.8431, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 381 }, { "epoch": 0.05205778141182884, "grad_norm": 0.349609375, "learning_rate": 1.0395634379263302e-05, "loss": 0.8336, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 382 }, { "epoch": 0.05219405832651949, "grad_norm": 0.306640625, "learning_rate": 1.0422919508867669e-05, "loss": 0.8015, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 383 }, { "epoch": 0.05233033524121014, "grad_norm": 0.349609375, "learning_rate": 1.0450204638472034e-05, "loss": 0.8488, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 384 }, { "epoch": 0.05246661215590079, "grad_norm": 0.306640625, "learning_rate": 1.04774897680764e-05, "loss": 0.8314, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 385 }, { "epoch": 0.05260288907059144, "grad_norm": 0.54296875, "learning_rate": 1.0504774897680764e-05, "loss": 0.7954, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 386 }, { "epoch": 0.0527391659852821, "grad_norm": 0.326171875, "learning_rate": 1.0532060027285131e-05, "loss": 0.7612, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 387 }, { "epoch": 0.052875442899972744, "grad_norm": 0.30078125, "learning_rate": 1.0559345156889496e-05, "loss": 0.8743, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 388 }, { "epoch": 0.0530117198146634, "grad_norm": 0.2451171875, "learning_rate": 1.0586630286493861e-05, "loss": 0.801, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 389 }, { "epoch": 0.053147996729354045, "grad_norm": 0.33203125, "learning_rate": 1.0613915416098228e-05, "loss": 0.8209, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 390 }, { "epoch": 0.0532842736440447, "grad_norm": 0.419921875, "learning_rate": 1.0641200545702593e-05, "loss": 0.7766, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 391 }, { "epoch": 0.05342055055873535, "grad_norm": 0.322265625, "learning_rate": 1.0668485675306958e-05, "loss": 0.799, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 392 }, { "epoch": 0.053556827473426, "grad_norm": 0.353515625, "learning_rate": 1.0695770804911325e-05, "loss": 0.8437, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 393 }, { "epoch": 0.053693104388116655, "grad_norm": 0.388671875, "learning_rate": 1.072305593451569e-05, "loss": 0.8944, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 394 }, { "epoch": 0.0538293813028073, "grad_norm": 0.27734375, "learning_rate": 1.0750341064120055e-05, "loss": 0.7859, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 395 }, { "epoch": 0.05396565821749796, "grad_norm": 0.283203125, "learning_rate": 1.0777626193724422e-05, "loss": 0.7725, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 396 }, { "epoch": 0.054101935132188604, "grad_norm": 0.341796875, "learning_rate": 1.0804911323328785e-05, "loss": 0.798, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 397 }, { "epoch": 0.05423821204687926, "grad_norm": 0.326171875, "learning_rate": 1.0832196452933152e-05, "loss": 0.8242, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 398 }, { "epoch": 0.05437448896156991, "grad_norm": 0.318359375, "learning_rate": 1.0859481582537519e-05, "loss": 0.8005, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 399 }, { "epoch": 0.05451076587626056, "grad_norm": 0.3203125, "learning_rate": 1.0886766712141882e-05, "loss": 0.8087, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 400 }, { "epoch": 0.054647042790951214, "grad_norm": 0.302734375, "learning_rate": 1.0914051841746249e-05, "loss": 0.8802, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 401 }, { "epoch": 0.05478331970564186, "grad_norm": 0.380859375, "learning_rate": 1.0941336971350616e-05, "loss": 0.7942, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 402 }, { "epoch": 0.054919596620332516, "grad_norm": 0.322265625, "learning_rate": 1.096862210095498e-05, "loss": 0.8122, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 403 }, { "epoch": 0.05505587353502317, "grad_norm": 0.412109375, "learning_rate": 1.0995907230559346e-05, "loss": 0.8353, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 404 }, { "epoch": 0.05519215044971382, "grad_norm": 0.2890625, "learning_rate": 1.1023192360163713e-05, "loss": 0.7233, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 405 }, { "epoch": 0.05532842736440447, "grad_norm": 0.28125, "learning_rate": 1.1050477489768076e-05, "loss": 0.7841, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 406 }, { "epoch": 0.05546470427909512, "grad_norm": 0.353515625, "learning_rate": 1.1077762619372443e-05, "loss": 0.8742, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 407 }, { "epoch": 0.05560098119378577, "grad_norm": 0.29296875, "learning_rate": 1.110504774897681e-05, "loss": 0.7791, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 408 }, { "epoch": 0.05573725810847643, "grad_norm": 0.30078125, "learning_rate": 1.1132332878581173e-05, "loss": 0.8237, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 409 }, { "epoch": 0.055873535023167074, "grad_norm": 0.546875, "learning_rate": 1.115961800818554e-05, "loss": 0.7853, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 410 }, { "epoch": 0.05600981193785773, "grad_norm": 0.330078125, "learning_rate": 1.1186903137789907e-05, "loss": 0.8824, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 411 }, { "epoch": 0.056146088852548376, "grad_norm": 0.28515625, "learning_rate": 1.121418826739427e-05, "loss": 0.7792, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 412 }, { "epoch": 0.05628236576723903, "grad_norm": 0.294921875, "learning_rate": 1.1241473396998637e-05, "loss": 0.8219, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 413 }, { "epoch": 0.056418642681929684, "grad_norm": 0.302734375, "learning_rate": 1.1268758526603004e-05, "loss": 0.7538, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 414 }, { "epoch": 0.05655491959662033, "grad_norm": 0.302734375, "learning_rate": 1.1296043656207367e-05, "loss": 0.7167, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 415 }, { "epoch": 0.056691196511310986, "grad_norm": 0.30078125, "learning_rate": 1.1323328785811734e-05, "loss": 0.7605, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 416 }, { "epoch": 0.05682747342600163, "grad_norm": 0.2734375, "learning_rate": 1.13506139154161e-05, "loss": 0.8141, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 417 }, { "epoch": 0.05696375034069229, "grad_norm": 0.298828125, "learning_rate": 1.1377899045020464e-05, "loss": 0.7544, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 418 }, { "epoch": 0.057100027255382935, "grad_norm": 0.240234375, "learning_rate": 1.1405184174624831e-05, "loss": 0.8162, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 419 }, { "epoch": 0.05723630417007359, "grad_norm": 0.2431640625, "learning_rate": 1.1432469304229196e-05, "loss": 0.789, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 420 }, { "epoch": 0.05737258108476424, "grad_norm": 0.302734375, "learning_rate": 1.1459754433833561e-05, "loss": 0.8202, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 421 }, { "epoch": 0.05750885799945489, "grad_norm": 0.439453125, "learning_rate": 1.1487039563437928e-05, "loss": 0.9097, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 422 }, { "epoch": 0.057645134914145545, "grad_norm": 0.330078125, "learning_rate": 1.1514324693042293e-05, "loss": 0.817, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 423 }, { "epoch": 0.05778141182883619, "grad_norm": 0.37109375, "learning_rate": 1.1541609822646658e-05, "loss": 0.8743, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 424 }, { "epoch": 0.057917688743526846, "grad_norm": 0.337890625, "learning_rate": 1.1568894952251025e-05, "loss": 0.9424, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 425 }, { "epoch": 0.0580539656582175, "grad_norm": 0.263671875, "learning_rate": 1.159618008185539e-05, "loss": 0.7513, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 426 }, { "epoch": 0.05819024257290815, "grad_norm": 0.3515625, "learning_rate": 1.1623465211459755e-05, "loss": 0.8295, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 427 }, { "epoch": 0.0583265194875988, "grad_norm": 0.35546875, "learning_rate": 1.1650750341064122e-05, "loss": 0.8387, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 428 }, { "epoch": 0.05846279640228945, "grad_norm": 0.291015625, "learning_rate": 1.1678035470668487e-05, "loss": 0.8505, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 429 }, { "epoch": 0.0585990733169801, "grad_norm": 0.462890625, "learning_rate": 1.1705320600272852e-05, "loss": 0.8913, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 430 }, { "epoch": 0.05873535023167076, "grad_norm": 0.28125, "learning_rate": 1.1732605729877217e-05, "loss": 0.7861, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 431 }, { "epoch": 0.058871627146361405, "grad_norm": 0.28125, "learning_rate": 1.1759890859481584e-05, "loss": 0.7958, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 432 }, { "epoch": 0.05900790406105206, "grad_norm": 0.28125, "learning_rate": 1.1787175989085949e-05, "loss": 0.7186, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 433 }, { "epoch": 0.059144180975742706, "grad_norm": 0.373046875, "learning_rate": 1.1814461118690314e-05, "loss": 0.871, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 434 }, { "epoch": 0.05928045789043336, "grad_norm": 0.328125, "learning_rate": 1.184174624829468e-05, "loss": 0.826, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 435 }, { "epoch": 0.059416734805124015, "grad_norm": 0.37109375, "learning_rate": 1.1869031377899046e-05, "loss": 0.8207, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 436 }, { "epoch": 0.05955301171981466, "grad_norm": 0.33984375, "learning_rate": 1.1896316507503411e-05, "loss": 0.8568, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 437 }, { "epoch": 0.059689288634505316, "grad_norm": 0.486328125, "learning_rate": 1.1923601637107778e-05, "loss": 0.866, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 438 }, { "epoch": 0.059825565549195964, "grad_norm": 0.333984375, "learning_rate": 1.1950886766712143e-05, "loss": 0.8321, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 439 }, { "epoch": 0.05996184246388662, "grad_norm": 0.296875, "learning_rate": 1.1978171896316508e-05, "loss": 0.8246, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 440 }, { "epoch": 0.06009811937857727, "grad_norm": 0.259765625, "learning_rate": 1.2005457025920875e-05, "loss": 0.849, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 441 }, { "epoch": 0.06023439629326792, "grad_norm": 0.36328125, "learning_rate": 1.2032742155525238e-05, "loss": 0.8765, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 442 }, { "epoch": 0.060370673207958574, "grad_norm": 0.3671875, "learning_rate": 1.2060027285129605e-05, "loss": 0.8779, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 443 }, { "epoch": 0.06050695012264922, "grad_norm": 0.25390625, "learning_rate": 1.2087312414733972e-05, "loss": 0.7675, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 444 }, { "epoch": 0.060643227037339875, "grad_norm": 0.27734375, "learning_rate": 1.2114597544338335e-05, "loss": 0.7637, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 445 }, { "epoch": 0.06077950395203053, "grad_norm": 0.31640625, "learning_rate": 1.2141882673942702e-05, "loss": 0.7548, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 446 }, { "epoch": 0.06091578086672118, "grad_norm": 0.326171875, "learning_rate": 1.2169167803547069e-05, "loss": 0.8344, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 447 }, { "epoch": 0.06105205778141183, "grad_norm": 0.3203125, "learning_rate": 1.2196452933151432e-05, "loss": 0.7705, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 448 }, { "epoch": 0.06118833469610248, "grad_norm": 0.359375, "learning_rate": 1.2223738062755799e-05, "loss": 0.8042, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 449 }, { "epoch": 0.06132461161079313, "grad_norm": 0.38671875, "learning_rate": 1.2251023192360166e-05, "loss": 0.7708, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 450 }, { "epoch": 0.06146088852548378, "grad_norm": 0.28125, "learning_rate": 1.2278308321964529e-05, "loss": 0.7298, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 451 }, { "epoch": 0.061597165440174434, "grad_norm": 0.263671875, "learning_rate": 1.2305593451568896e-05, "loss": 0.7226, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 452 }, { "epoch": 0.06173344235486509, "grad_norm": 0.27734375, "learning_rate": 1.2332878581173263e-05, "loss": 0.7619, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 453 }, { "epoch": 0.061869719269555735, "grad_norm": 0.306640625, "learning_rate": 1.2360163710777626e-05, "loss": 0.7614, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 454 }, { "epoch": 0.06200599618424639, "grad_norm": 0.447265625, "learning_rate": 1.2387448840381993e-05, "loss": 0.8373, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 455 }, { "epoch": 0.06214227309893704, "grad_norm": 0.29296875, "learning_rate": 1.241473396998636e-05, "loss": 0.8038, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 456 }, { "epoch": 0.06227855001362769, "grad_norm": 0.28125, "learning_rate": 1.2442019099590723e-05, "loss": 0.767, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 457 }, { "epoch": 0.062414826928318345, "grad_norm": 0.333984375, "learning_rate": 1.246930422919509e-05, "loss": 0.8171, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 458 }, { "epoch": 0.06255110384300899, "grad_norm": 0.283203125, "learning_rate": 1.2496589358799456e-05, "loss": 0.788, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 459 }, { "epoch": 0.06268738075769964, "grad_norm": 0.306640625, "learning_rate": 1.252387448840382e-05, "loss": 0.7665, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 460 }, { "epoch": 0.0628236576723903, "grad_norm": 0.21875, "learning_rate": 1.2551159618008187e-05, "loss": 0.7218, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 461 }, { "epoch": 0.06295993458708095, "grad_norm": 0.291015625, "learning_rate": 1.2578444747612553e-05, "loss": 0.7349, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 462 }, { "epoch": 0.0630962115017716, "grad_norm": 0.2451171875, "learning_rate": 1.2605729877216917e-05, "loss": 0.761, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 463 }, { "epoch": 0.06323248841646226, "grad_norm": 0.31640625, "learning_rate": 1.2633015006821284e-05, "loss": 0.9009, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 464 }, { "epoch": 0.0633687653311529, "grad_norm": 0.5625, "learning_rate": 1.2660300136425649e-05, "loss": 0.7939, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 465 }, { "epoch": 0.06350504224584355, "grad_norm": 0.310546875, "learning_rate": 1.2687585266030014e-05, "loss": 0.9365, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 466 }, { "epoch": 0.0636413191605342, "grad_norm": 0.2890625, "learning_rate": 1.271487039563438e-05, "loss": 0.7023, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 467 }, { "epoch": 0.06377759607522486, "grad_norm": 0.640625, "learning_rate": 1.2742155525238746e-05, "loss": 1.0949, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 468 }, { "epoch": 0.06391387298991551, "grad_norm": 0.25390625, "learning_rate": 1.276944065484311e-05, "loss": 0.7676, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 469 }, { "epoch": 0.06405014990460615, "grad_norm": 0.302734375, "learning_rate": 1.2796725784447478e-05, "loss": 0.823, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 470 }, { "epoch": 0.06418642681929682, "grad_norm": 0.30078125, "learning_rate": 1.2824010914051843e-05, "loss": 0.8308, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 471 }, { "epoch": 0.06432270373398746, "grad_norm": 0.255859375, "learning_rate": 1.2851296043656208e-05, "loss": 0.8248, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 472 }, { "epoch": 0.06445898064867811, "grad_norm": 0.28125, "learning_rate": 1.2878581173260574e-05, "loss": 0.7972, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 473 }, { "epoch": 0.06459525756336877, "grad_norm": 0.287109375, "learning_rate": 1.290586630286494e-05, "loss": 0.7431, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 474 }, { "epoch": 0.06473153447805942, "grad_norm": 0.4296875, "learning_rate": 1.2933151432469306e-05, "loss": 0.8382, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 475 }, { "epoch": 0.06486781139275007, "grad_norm": 0.283203125, "learning_rate": 1.296043656207367e-05, "loss": 0.8488, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 476 }, { "epoch": 0.06500408830744071, "grad_norm": 0.443359375, "learning_rate": 1.2987721691678037e-05, "loss": 0.8608, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 477 }, { "epoch": 0.06514036522213137, "grad_norm": 0.271484375, "learning_rate": 1.3015006821282403e-05, "loss": 0.739, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 478 }, { "epoch": 0.06527664213682202, "grad_norm": 0.47265625, "learning_rate": 1.3042291950886767e-05, "loss": 0.7349, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 479 }, { "epoch": 0.06541291905151267, "grad_norm": 0.27734375, "learning_rate": 1.3069577080491133e-05, "loss": 0.8309, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 480 }, { "epoch": 0.06554919596620333, "grad_norm": 0.5234375, "learning_rate": 1.30968622100955e-05, "loss": 0.8019, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 481 }, { "epoch": 0.06568547288089398, "grad_norm": 0.3046875, "learning_rate": 1.3124147339699864e-05, "loss": 0.7354, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 482 }, { "epoch": 0.06582174979558462, "grad_norm": 0.33203125, "learning_rate": 1.315143246930423e-05, "loss": 0.8331, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 483 }, { "epoch": 0.06595802671027529, "grad_norm": 0.2734375, "learning_rate": 1.3178717598908597e-05, "loss": 0.8104, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 484 }, { "epoch": 0.06609430362496593, "grad_norm": 0.41796875, "learning_rate": 1.320600272851296e-05, "loss": 0.784, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 485 }, { "epoch": 0.06623058053965658, "grad_norm": 0.47265625, "learning_rate": 1.3233287858117327e-05, "loss": 0.7669, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 486 }, { "epoch": 0.06636685745434723, "grad_norm": 0.333984375, "learning_rate": 1.3260572987721694e-05, "loss": 0.7946, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 487 }, { "epoch": 0.06650313436903789, "grad_norm": 0.337890625, "learning_rate": 1.3287858117326058e-05, "loss": 0.7925, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 488 }, { "epoch": 0.06663941128372854, "grad_norm": 0.33984375, "learning_rate": 1.3315143246930424e-05, "loss": 0.7968, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 489 }, { "epoch": 0.06677568819841918, "grad_norm": 0.29296875, "learning_rate": 1.3342428376534791e-05, "loss": 0.6951, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 490 }, { "epoch": 0.06691196511310984, "grad_norm": 0.25390625, "learning_rate": 1.3369713506139155e-05, "loss": 0.7762, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 491 }, { "epoch": 0.06704824202780049, "grad_norm": 0.37109375, "learning_rate": 1.3396998635743521e-05, "loss": 0.822, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 492 }, { "epoch": 0.06718451894249114, "grad_norm": 0.263671875, "learning_rate": 1.3424283765347888e-05, "loss": 0.7533, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 493 }, { "epoch": 0.06732079585718179, "grad_norm": 0.3359375, "learning_rate": 1.3451568894952252e-05, "loss": 0.7839, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 494 }, { "epoch": 0.06745707277187245, "grad_norm": 0.294921875, "learning_rate": 1.3478854024556618e-05, "loss": 0.749, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 495 }, { "epoch": 0.0675933496865631, "grad_norm": 0.31640625, "learning_rate": 1.3506139154160985e-05, "loss": 0.7386, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 496 }, { "epoch": 0.06772962660125374, "grad_norm": 0.287109375, "learning_rate": 1.3533424283765348e-05, "loss": 0.7564, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 497 }, { "epoch": 0.0678659035159444, "grad_norm": 0.27734375, "learning_rate": 1.3560709413369715e-05, "loss": 0.766, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 498 }, { "epoch": 0.06800218043063505, "grad_norm": 0.271484375, "learning_rate": 1.358799454297408e-05, "loss": 0.7539, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 499 }, { "epoch": 0.0681384573453257, "grad_norm": 0.310546875, "learning_rate": 1.3615279672578445e-05, "loss": 0.8254, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 500 }, { "epoch": 0.06827473426001636, "grad_norm": 0.298828125, "learning_rate": 1.3642564802182812e-05, "loss": 0.8471, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 501 }, { "epoch": 0.068411011174707, "grad_norm": 0.30859375, "learning_rate": 1.3669849931787177e-05, "loss": 0.7867, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 502 }, { "epoch": 0.06854728808939765, "grad_norm": 0.328125, "learning_rate": 1.3697135061391542e-05, "loss": 0.8429, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 503 }, { "epoch": 0.0686835650040883, "grad_norm": 0.345703125, "learning_rate": 1.372442019099591e-05, "loss": 0.8139, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 504 }, { "epoch": 0.06881984191877896, "grad_norm": 0.341796875, "learning_rate": 1.3751705320600274e-05, "loss": 0.79, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 505 }, { "epoch": 0.06895611883346961, "grad_norm": 0.30859375, "learning_rate": 1.377899045020464e-05, "loss": 0.8204, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 506 }, { "epoch": 0.06909239574816026, "grad_norm": 0.376953125, "learning_rate": 1.3806275579809006e-05, "loss": 0.8246, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 507 }, { "epoch": 0.06922867266285092, "grad_norm": 0.33984375, "learning_rate": 1.3833560709413371e-05, "loss": 0.8246, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 508 }, { "epoch": 0.06936494957754157, "grad_norm": 0.4453125, "learning_rate": 1.3860845839017736e-05, "loss": 0.8355, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 509 }, { "epoch": 0.06950122649223221, "grad_norm": 0.296875, "learning_rate": 1.3888130968622101e-05, "loss": 0.7517, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 510 }, { "epoch": 0.06963750340692287, "grad_norm": 0.25, "learning_rate": 1.3915416098226468e-05, "loss": 0.7594, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 511 }, { "epoch": 0.06977378032161352, "grad_norm": 0.375, "learning_rate": 1.3942701227830833e-05, "loss": 0.7733, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 512 }, { "epoch": 0.06991005723630417, "grad_norm": 0.30859375, "learning_rate": 1.3969986357435198e-05, "loss": 0.8044, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 513 }, { "epoch": 0.07004633415099482, "grad_norm": 0.30078125, "learning_rate": 1.3997271487039565e-05, "loss": 0.7425, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 514 }, { "epoch": 0.07018261106568548, "grad_norm": 0.3359375, "learning_rate": 1.402455661664393e-05, "loss": 0.7839, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 515 }, { "epoch": 0.07031888798037612, "grad_norm": 0.29296875, "learning_rate": 1.4051841746248295e-05, "loss": 0.7384, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 516 }, { "epoch": 0.07045516489506677, "grad_norm": 0.33203125, "learning_rate": 1.4079126875852662e-05, "loss": 0.7197, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 517 }, { "epoch": 0.07059144180975743, "grad_norm": 0.267578125, "learning_rate": 1.4106412005457027e-05, "loss": 0.7741, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 518 }, { "epoch": 0.07072771872444808, "grad_norm": 0.291015625, "learning_rate": 1.4133697135061392e-05, "loss": 0.7448, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 519 }, { "epoch": 0.07086399563913873, "grad_norm": 0.42578125, "learning_rate": 1.4160982264665759e-05, "loss": 0.7767, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 520 }, { "epoch": 0.07100027255382937, "grad_norm": 0.359375, "learning_rate": 1.4188267394270122e-05, "loss": 0.7793, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 521 }, { "epoch": 0.07113654946852004, "grad_norm": 0.322265625, "learning_rate": 1.421555252387449e-05, "loss": 0.7664, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 522 }, { "epoch": 0.07127282638321068, "grad_norm": 0.2734375, "learning_rate": 1.4242837653478856e-05, "loss": 0.6739, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 523 }, { "epoch": 0.07140910329790133, "grad_norm": 0.263671875, "learning_rate": 1.427012278308322e-05, "loss": 0.7489, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 524 }, { "epoch": 0.07154538021259199, "grad_norm": 0.400390625, "learning_rate": 1.4297407912687586e-05, "loss": 0.7393, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 525 }, { "epoch": 0.07168165712728264, "grad_norm": 0.3046875, "learning_rate": 1.4324693042291953e-05, "loss": 0.7648, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 526 }, { "epoch": 0.07181793404197329, "grad_norm": 0.427734375, "learning_rate": 1.4351978171896316e-05, "loss": 0.8874, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 527 }, { "epoch": 0.07195421095666395, "grad_norm": 0.373046875, "learning_rate": 1.4379263301500683e-05, "loss": 0.8273, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 528 }, { "epoch": 0.0720904878713546, "grad_norm": 0.392578125, "learning_rate": 1.440654843110505e-05, "loss": 0.8148, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 529 }, { "epoch": 0.07222676478604524, "grad_norm": 0.283203125, "learning_rate": 1.4433833560709413e-05, "loss": 0.8355, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 530 }, { "epoch": 0.07236304170073589, "grad_norm": 0.35546875, "learning_rate": 1.446111869031378e-05, "loss": 0.8577, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 531 }, { "epoch": 0.07249931861542655, "grad_norm": 0.263671875, "learning_rate": 1.4488403819918147e-05, "loss": 0.7681, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 532 }, { "epoch": 0.0726355955301172, "grad_norm": 0.298828125, "learning_rate": 1.451568894952251e-05, "loss": 0.772, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 533 }, { "epoch": 0.07277187244480784, "grad_norm": 0.353515625, "learning_rate": 1.4542974079126877e-05, "loss": 0.7773, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 534 }, { "epoch": 0.0729081493594985, "grad_norm": 0.3125, "learning_rate": 1.4570259208731244e-05, "loss": 0.8566, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 535 }, { "epoch": 0.07304442627418915, "grad_norm": 0.248046875, "learning_rate": 1.4597544338335607e-05, "loss": 0.7595, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 536 }, { "epoch": 0.0731807031888798, "grad_norm": 0.291015625, "learning_rate": 1.4624829467939974e-05, "loss": 0.8314, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 537 }, { "epoch": 0.07331698010357046, "grad_norm": 0.298828125, "learning_rate": 1.465211459754434e-05, "loss": 0.7285, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 538 }, { "epoch": 0.07345325701826111, "grad_norm": 0.255859375, "learning_rate": 1.4679399727148704e-05, "loss": 0.738, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 539 }, { "epoch": 0.07358953393295176, "grad_norm": 0.41796875, "learning_rate": 1.4706684856753071e-05, "loss": 0.7248, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 540 }, { "epoch": 0.0737258108476424, "grad_norm": 0.3203125, "learning_rate": 1.4733969986357438e-05, "loss": 0.8625, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 541 }, { "epoch": 0.07386208776233306, "grad_norm": 0.337890625, "learning_rate": 1.4761255115961801e-05, "loss": 0.7749, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 542 }, { "epoch": 0.07399836467702371, "grad_norm": 0.30859375, "learning_rate": 1.4788540245566168e-05, "loss": 0.7397, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 543 }, { "epoch": 0.07413464159171436, "grad_norm": 0.30078125, "learning_rate": 1.4815825375170533e-05, "loss": 0.7274, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 544 }, { "epoch": 0.07427091850640502, "grad_norm": 0.330078125, "learning_rate": 1.4843110504774898e-05, "loss": 0.7821, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 545 }, { "epoch": 0.07440719542109567, "grad_norm": 0.314453125, "learning_rate": 1.4870395634379265e-05, "loss": 0.8088, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 546 }, { "epoch": 0.07454347233578631, "grad_norm": 0.259765625, "learning_rate": 1.489768076398363e-05, "loss": 0.7412, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 547 }, { "epoch": 0.07467974925047698, "grad_norm": 0.5625, "learning_rate": 1.4924965893587995e-05, "loss": 0.7942, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 548 }, { "epoch": 0.07481602616516762, "grad_norm": 0.8203125, "learning_rate": 1.4952251023192362e-05, "loss": 0.797, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 549 }, { "epoch": 0.07495230307985827, "grad_norm": 0.4453125, "learning_rate": 1.4979536152796727e-05, "loss": 0.829, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 550 }, { "epoch": 0.07508857999454892, "grad_norm": 0.375, "learning_rate": 1.5006821282401092e-05, "loss": 0.8833, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 551 }, { "epoch": 0.07522485690923958, "grad_norm": 0.287109375, "learning_rate": 1.5034106412005459e-05, "loss": 0.7976, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 552 }, { "epoch": 0.07536113382393023, "grad_norm": 0.353515625, "learning_rate": 1.5061391541609824e-05, "loss": 0.8018, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 553 }, { "epoch": 0.07549741073862087, "grad_norm": 0.259765625, "learning_rate": 1.5088676671214189e-05, "loss": 0.744, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 554 }, { "epoch": 0.07563368765331153, "grad_norm": 0.419921875, "learning_rate": 1.5115961800818554e-05, "loss": 0.7285, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 555 }, { "epoch": 0.07576996456800218, "grad_norm": 0.25390625, "learning_rate": 1.5143246930422921e-05, "loss": 0.7911, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 556 }, { "epoch": 0.07590624148269283, "grad_norm": 0.287109375, "learning_rate": 1.5170532060027286e-05, "loss": 0.7814, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 557 }, { "epoch": 0.07604251839738348, "grad_norm": 0.3515625, "learning_rate": 1.5197817189631651e-05, "loss": 0.7715, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 558 }, { "epoch": 0.07617879531207414, "grad_norm": 0.29296875, "learning_rate": 1.5225102319236018e-05, "loss": 0.7845, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 559 }, { "epoch": 0.07631507222676479, "grad_norm": 0.279296875, "learning_rate": 1.5252387448840383e-05, "loss": 0.7334, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 560 }, { "epoch": 0.07645134914145543, "grad_norm": 0.35546875, "learning_rate": 1.5279672578444748e-05, "loss": 0.8202, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 561 }, { "epoch": 0.0765876260561461, "grad_norm": 0.26953125, "learning_rate": 1.5306957708049115e-05, "loss": 0.7343, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 562 }, { "epoch": 0.07672390297083674, "grad_norm": 0.2890625, "learning_rate": 1.5334242837653478e-05, "loss": 0.8442, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 563 }, { "epoch": 0.07686017988552739, "grad_norm": 0.294921875, "learning_rate": 1.5361527967257845e-05, "loss": 0.7409, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 564 }, { "epoch": 0.07699645680021805, "grad_norm": 0.26953125, "learning_rate": 1.5388813096862212e-05, "loss": 0.7523, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 565 }, { "epoch": 0.0771327337149087, "grad_norm": 0.26953125, "learning_rate": 1.5416098226466575e-05, "loss": 0.7437, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 566 }, { "epoch": 0.07726901062959934, "grad_norm": 0.28515625, "learning_rate": 1.5443383356070942e-05, "loss": 0.7879, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 567 }, { "epoch": 0.07740528754428999, "grad_norm": 0.416015625, "learning_rate": 1.547066848567531e-05, "loss": 0.7811, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 568 }, { "epoch": 0.07754156445898065, "grad_norm": 0.3125, "learning_rate": 1.5497953615279672e-05, "loss": 0.7975, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 569 }, { "epoch": 0.0776778413736713, "grad_norm": 0.259765625, "learning_rate": 1.552523874488404e-05, "loss": 0.7622, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 570 }, { "epoch": 0.07781411828836195, "grad_norm": 0.4375, "learning_rate": 1.5552523874488406e-05, "loss": 0.8163, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 571 }, { "epoch": 0.07795039520305261, "grad_norm": 0.26171875, "learning_rate": 1.557980900409277e-05, "loss": 0.767, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 572 }, { "epoch": 0.07808667211774326, "grad_norm": 0.310546875, "learning_rate": 1.5607094133697136e-05, "loss": 0.81, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 573 }, { "epoch": 0.0782229490324339, "grad_norm": 0.265625, "learning_rate": 1.5634379263301503e-05, "loss": 0.8077, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 574 }, { "epoch": 0.07835922594712456, "grad_norm": 0.30078125, "learning_rate": 1.5661664392905866e-05, "loss": 0.8411, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 575 }, { "epoch": 0.07849550286181521, "grad_norm": 0.314453125, "learning_rate": 1.5688949522510233e-05, "loss": 0.8301, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 576 }, { "epoch": 0.07863177977650586, "grad_norm": 0.31640625, "learning_rate": 1.57162346521146e-05, "loss": 0.7885, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 577 }, { "epoch": 0.0787680566911965, "grad_norm": 0.2578125, "learning_rate": 1.5743519781718966e-05, "loss": 0.7785, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 578 }, { "epoch": 0.07890433360588717, "grad_norm": 0.267578125, "learning_rate": 1.577080491132333e-05, "loss": 0.7859, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 579 }, { "epoch": 0.07904061052057781, "grad_norm": 0.359375, "learning_rate": 1.5798090040927697e-05, "loss": 0.7507, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 580 }, { "epoch": 0.07917688743526846, "grad_norm": 0.412109375, "learning_rate": 1.5825375170532063e-05, "loss": 0.8171, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 581 }, { "epoch": 0.07931316434995912, "grad_norm": 0.326171875, "learning_rate": 1.5852660300136427e-05, "loss": 0.7251, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 582 }, { "epoch": 0.07944944126464977, "grad_norm": 0.26953125, "learning_rate": 1.5879945429740794e-05, "loss": 0.8162, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 583 }, { "epoch": 0.07958571817934042, "grad_norm": 0.423828125, "learning_rate": 1.590723055934516e-05, "loss": 0.7931, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 584 }, { "epoch": 0.07972199509403106, "grad_norm": 0.3125, "learning_rate": 1.5934515688949524e-05, "loss": 0.776, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 585 }, { "epoch": 0.07985827200872173, "grad_norm": 0.453125, "learning_rate": 1.596180081855389e-05, "loss": 0.8407, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 586 }, { "epoch": 0.07999454892341237, "grad_norm": 0.373046875, "learning_rate": 1.5989085948158257e-05, "loss": 0.7825, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 587 }, { "epoch": 0.08013082583810302, "grad_norm": 0.341796875, "learning_rate": 1.601637107776262e-05, "loss": 0.8076, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 588 }, { "epoch": 0.08026710275279368, "grad_norm": 0.373046875, "learning_rate": 1.6043656207366987e-05, "loss": 0.7939, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 589 }, { "epoch": 0.08040337966748433, "grad_norm": 0.3984375, "learning_rate": 1.6070941336971354e-05, "loss": 0.7872, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 590 }, { "epoch": 0.08053965658217498, "grad_norm": 0.330078125, "learning_rate": 1.6098226466575718e-05, "loss": 0.8696, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 591 }, { "epoch": 0.08067593349686564, "grad_norm": 0.2734375, "learning_rate": 1.6125511596180084e-05, "loss": 0.7117, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 592 }, { "epoch": 0.08081221041155628, "grad_norm": 0.400390625, "learning_rate": 1.615279672578445e-05, "loss": 0.733, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 593 }, { "epoch": 0.08094848732624693, "grad_norm": 0.34765625, "learning_rate": 1.6180081855388815e-05, "loss": 0.8448, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 594 }, { "epoch": 0.08108476424093758, "grad_norm": 0.314453125, "learning_rate": 1.620736698499318e-05, "loss": 0.7674, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 595 }, { "epoch": 0.08122104115562824, "grad_norm": 0.4375, "learning_rate": 1.6234652114597548e-05, "loss": 0.8158, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 596 }, { "epoch": 0.08135731807031889, "grad_norm": 3.421875, "learning_rate": 1.626193724420191e-05, "loss": 0.8369, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 597 }, { "epoch": 0.08149359498500953, "grad_norm": 0.35546875, "learning_rate": 1.628922237380628e-05, "loss": 0.771, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 598 }, { "epoch": 0.0816298718997002, "grad_norm": 0.333984375, "learning_rate": 1.6316507503410645e-05, "loss": 0.8779, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 599 }, { "epoch": 0.08176614881439084, "grad_norm": 0.33984375, "learning_rate": 1.634379263301501e-05, "loss": 0.7994, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 600 }, { "epoch": 0.08190242572908149, "grad_norm": 0.345703125, "learning_rate": 1.6371077762619375e-05, "loss": 0.7532, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 601 }, { "epoch": 0.08203870264377215, "grad_norm": 0.296875, "learning_rate": 1.639836289222374e-05, "loss": 0.8198, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 602 }, { "epoch": 0.0821749795584628, "grad_norm": 0.380859375, "learning_rate": 1.6425648021828106e-05, "loss": 0.809, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 603 }, { "epoch": 0.08231125647315345, "grad_norm": 0.388671875, "learning_rate": 1.6452933151432472e-05, "loss": 0.738, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 604 }, { "epoch": 0.0824475333878441, "grad_norm": 0.298828125, "learning_rate": 1.6480218281036836e-05, "loss": 0.7944, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 605 }, { "epoch": 0.08258381030253475, "grad_norm": 0.408203125, "learning_rate": 1.6507503410641202e-05, "loss": 0.8417, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 606 }, { "epoch": 0.0827200872172254, "grad_norm": 0.3515625, "learning_rate": 1.653478854024557e-05, "loss": 0.7859, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 607 }, { "epoch": 0.08285636413191605, "grad_norm": 0.265625, "learning_rate": 1.6562073669849933e-05, "loss": 0.7769, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 608 }, { "epoch": 0.08299264104660671, "grad_norm": 0.298828125, "learning_rate": 1.65893587994543e-05, "loss": 0.7853, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 609 }, { "epoch": 0.08312891796129736, "grad_norm": 0.33984375, "learning_rate": 1.6616643929058666e-05, "loss": 0.786, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 610 }, { "epoch": 0.083265194875988, "grad_norm": 0.279296875, "learning_rate": 1.664392905866303e-05, "loss": 0.7741, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 611 }, { "epoch": 0.08340147179067865, "grad_norm": 0.263671875, "learning_rate": 1.6671214188267396e-05, "loss": 0.7835, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 612 }, { "epoch": 0.08353774870536931, "grad_norm": 0.412109375, "learning_rate": 1.669849931787176e-05, "loss": 0.8003, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 613 }, { "epoch": 0.08367402562005996, "grad_norm": 0.3203125, "learning_rate": 1.6725784447476127e-05, "loss": 0.731, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 614 }, { "epoch": 0.08381030253475061, "grad_norm": 0.263671875, "learning_rate": 1.6753069577080493e-05, "loss": 0.7666, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 615 }, { "epoch": 0.08394657944944127, "grad_norm": 0.267578125, "learning_rate": 1.6780354706684857e-05, "loss": 0.7994, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 616 }, { "epoch": 0.08408285636413192, "grad_norm": 0.37109375, "learning_rate": 1.6807639836289224e-05, "loss": 0.8084, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 617 }, { "epoch": 0.08421913327882256, "grad_norm": 0.30078125, "learning_rate": 1.683492496589359e-05, "loss": 0.7362, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 618 }, { "epoch": 0.08435541019351323, "grad_norm": 0.287109375, "learning_rate": 1.6862210095497954e-05, "loss": 0.865, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 619 }, { "epoch": 0.08449168710820387, "grad_norm": 0.357421875, "learning_rate": 1.688949522510232e-05, "loss": 0.8168, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 620 }, { "epoch": 0.08462796402289452, "grad_norm": 0.291015625, "learning_rate": 1.6916780354706684e-05, "loss": 0.684, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 621 }, { "epoch": 0.08476424093758517, "grad_norm": 0.31640625, "learning_rate": 1.694406548431105e-05, "loss": 0.7989, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 622 }, { "epoch": 0.08490051785227583, "grad_norm": 0.33203125, "learning_rate": 1.6971350613915417e-05, "loss": 0.7253, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 623 }, { "epoch": 0.08503679476696648, "grad_norm": 0.322265625, "learning_rate": 1.699863574351978e-05, "loss": 0.7876, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 624 }, { "epoch": 0.08517307168165712, "grad_norm": 0.322265625, "learning_rate": 1.7025920873124148e-05, "loss": 0.7552, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 625 }, { "epoch": 0.08530934859634778, "grad_norm": 0.26171875, "learning_rate": 1.7053206002728514e-05, "loss": 0.7308, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 626 }, { "epoch": 0.08544562551103843, "grad_norm": 0.333984375, "learning_rate": 1.7080491132332878e-05, "loss": 0.7465, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 627 }, { "epoch": 0.08558190242572908, "grad_norm": 0.255859375, "learning_rate": 1.7107776261937245e-05, "loss": 0.821, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 628 }, { "epoch": 0.08571817934041974, "grad_norm": 0.46484375, "learning_rate": 1.713506139154161e-05, "loss": 0.7944, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 629 }, { "epoch": 0.08585445625511039, "grad_norm": 0.248046875, "learning_rate": 1.7162346521145975e-05, "loss": 0.7655, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 630 }, { "epoch": 0.08599073316980103, "grad_norm": 0.388671875, "learning_rate": 1.718963165075034e-05, "loss": 0.8372, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 631 }, { "epoch": 0.08612701008449168, "grad_norm": 0.3125, "learning_rate": 1.721691678035471e-05, "loss": 0.7094, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 632 }, { "epoch": 0.08626328699918234, "grad_norm": 0.255859375, "learning_rate": 1.7244201909959072e-05, "loss": 0.7258, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 633 }, { "epoch": 0.08639956391387299, "grad_norm": 0.326171875, "learning_rate": 1.727148703956344e-05, "loss": 0.7706, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 634 }, { "epoch": 0.08653584082856364, "grad_norm": 0.2373046875, "learning_rate": 1.7298772169167805e-05, "loss": 0.6916, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 635 }, { "epoch": 0.0866721177432543, "grad_norm": 0.322265625, "learning_rate": 1.732605729877217e-05, "loss": 0.8627, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 636 }, { "epoch": 0.08680839465794495, "grad_norm": 0.3046875, "learning_rate": 1.7353342428376535e-05, "loss": 0.7554, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 637 }, { "epoch": 0.08694467157263559, "grad_norm": 0.44140625, "learning_rate": 1.7380627557980902e-05, "loss": 0.8427, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 638 }, { "epoch": 0.08708094848732624, "grad_norm": 0.287109375, "learning_rate": 1.7407912687585266e-05, "loss": 0.7597, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 639 }, { "epoch": 0.0872172254020169, "grad_norm": 0.259765625, "learning_rate": 1.7435197817189632e-05, "loss": 0.8042, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 640 }, { "epoch": 0.08735350231670755, "grad_norm": 0.3125, "learning_rate": 1.7462482946794e-05, "loss": 0.7817, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 641 }, { "epoch": 0.0874897792313982, "grad_norm": 0.255859375, "learning_rate": 1.7489768076398363e-05, "loss": 0.7461, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 642 }, { "epoch": 0.08762605614608886, "grad_norm": 0.353515625, "learning_rate": 1.751705320600273e-05, "loss": 0.8366, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 643 }, { "epoch": 0.0877623330607795, "grad_norm": 0.306640625, "learning_rate": 1.7544338335607096e-05, "loss": 0.7847, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 644 }, { "epoch": 0.08789860997547015, "grad_norm": 0.30078125, "learning_rate": 1.757162346521146e-05, "loss": 0.817, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 645 }, { "epoch": 0.08803488689016081, "grad_norm": 0.337890625, "learning_rate": 1.7598908594815826e-05, "loss": 0.7198, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 646 }, { "epoch": 0.08817116380485146, "grad_norm": 0.318359375, "learning_rate": 1.7626193724420193e-05, "loss": 0.7952, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 647 }, { "epoch": 0.08830744071954211, "grad_norm": 0.5, "learning_rate": 1.7653478854024557e-05, "loss": 0.9928, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 648 }, { "epoch": 0.08844371763423275, "grad_norm": 0.306640625, "learning_rate": 1.7680763983628923e-05, "loss": 0.8258, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 649 }, { "epoch": 0.08857999454892342, "grad_norm": 0.283203125, "learning_rate": 1.770804911323329e-05, "loss": 0.756, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 650 }, { "epoch": 0.08871627146361406, "grad_norm": 0.28125, "learning_rate": 1.7735334242837654e-05, "loss": 0.7499, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 651 }, { "epoch": 0.08885254837830471, "grad_norm": 0.265625, "learning_rate": 1.776261937244202e-05, "loss": 0.8085, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 652 }, { "epoch": 0.08898882529299537, "grad_norm": 0.359375, "learning_rate": 1.7789904502046387e-05, "loss": 0.8367, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 653 }, { "epoch": 0.08912510220768602, "grad_norm": 0.333984375, "learning_rate": 1.781718963165075e-05, "loss": 0.7581, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 654 }, { "epoch": 0.08926137912237667, "grad_norm": 0.30859375, "learning_rate": 1.7844474761255117e-05, "loss": 0.813, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 655 }, { "epoch": 0.08939765603706733, "grad_norm": 0.279296875, "learning_rate": 1.7871759890859484e-05, "loss": 0.7735, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 656 }, { "epoch": 0.08953393295175797, "grad_norm": 0.25, "learning_rate": 1.7899045020463847e-05, "loss": 0.7499, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 657 }, { "epoch": 0.08967020986644862, "grad_norm": 0.30859375, "learning_rate": 1.7926330150068214e-05, "loss": 0.7514, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 658 }, { "epoch": 0.08980648678113927, "grad_norm": 0.310546875, "learning_rate": 1.795361527967258e-05, "loss": 0.8333, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 659 }, { "epoch": 0.08994276369582993, "grad_norm": 0.419921875, "learning_rate": 1.7980900409276944e-05, "loss": 0.7758, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 660 }, { "epoch": 0.09007904061052058, "grad_norm": 0.57421875, "learning_rate": 1.800818553888131e-05, "loss": 0.7712, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 661 }, { "epoch": 0.09021531752521122, "grad_norm": 0.291015625, "learning_rate": 1.8035470668485678e-05, "loss": 0.7865, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 662 }, { "epoch": 0.09035159443990189, "grad_norm": 0.326171875, "learning_rate": 1.806275579809004e-05, "loss": 0.7253, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 663 }, { "epoch": 0.09048787135459253, "grad_norm": 0.28125, "learning_rate": 1.8090040927694408e-05, "loss": 0.7618, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 664 }, { "epoch": 0.09062414826928318, "grad_norm": 0.388671875, "learning_rate": 1.8117326057298775e-05, "loss": 0.8063, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 665 }, { "epoch": 0.09076042518397383, "grad_norm": 0.298828125, "learning_rate": 1.814461118690314e-05, "loss": 0.7925, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 666 }, { "epoch": 0.09089670209866449, "grad_norm": 0.298828125, "learning_rate": 1.8171896316507505e-05, "loss": 0.7476, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 667 }, { "epoch": 0.09103297901335514, "grad_norm": 0.318359375, "learning_rate": 1.8199181446111872e-05, "loss": 0.7346, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 668 }, { "epoch": 0.09116925592804578, "grad_norm": 0.322265625, "learning_rate": 1.8226466575716235e-05, "loss": 0.731, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 669 }, { "epoch": 0.09130553284273644, "grad_norm": 0.4921875, "learning_rate": 1.8253751705320602e-05, "loss": 0.7006, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 670 }, { "epoch": 0.09144180975742709, "grad_norm": 0.330078125, "learning_rate": 1.828103683492497e-05, "loss": 0.8474, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 671 }, { "epoch": 0.09157808667211774, "grad_norm": 0.298828125, "learning_rate": 1.8308321964529332e-05, "loss": 0.7666, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 672 }, { "epoch": 0.0917143635868084, "grad_norm": 0.279296875, "learning_rate": 1.83356070941337e-05, "loss": 0.7568, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 673 }, { "epoch": 0.09185064050149905, "grad_norm": 0.27734375, "learning_rate": 1.8362892223738066e-05, "loss": 0.7152, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 674 }, { "epoch": 0.0919869174161897, "grad_norm": 0.310546875, "learning_rate": 1.839017735334243e-05, "loss": 0.7364, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 675 }, { "epoch": 0.09212319433088034, "grad_norm": 0.251953125, "learning_rate": 1.8417462482946796e-05, "loss": 0.77, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 676 }, { "epoch": 0.092259471245571, "grad_norm": 0.369140625, "learning_rate": 1.8444747612551163e-05, "loss": 0.7703, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 677 }, { "epoch": 0.09239574816026165, "grad_norm": 0.310546875, "learning_rate": 1.8472032742155526e-05, "loss": 0.7684, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 678 }, { "epoch": 0.0925320250749523, "grad_norm": 0.2734375, "learning_rate": 1.8499317871759893e-05, "loss": 0.6625, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 679 }, { "epoch": 0.09266830198964296, "grad_norm": 0.34375, "learning_rate": 1.852660300136426e-05, "loss": 0.8483, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 680 }, { "epoch": 0.0928045789043336, "grad_norm": 0.3515625, "learning_rate": 1.8553888130968623e-05, "loss": 0.764, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 681 }, { "epoch": 0.09294085581902425, "grad_norm": 0.306640625, "learning_rate": 1.858117326057299e-05, "loss": 0.7006, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 682 }, { "epoch": 0.09307713273371492, "grad_norm": 0.412109375, "learning_rate": 1.8608458390177357e-05, "loss": 0.8417, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 683 }, { "epoch": 0.09321340964840556, "grad_norm": 0.26953125, "learning_rate": 1.863574351978172e-05, "loss": 0.7749, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 684 }, { "epoch": 0.09334968656309621, "grad_norm": 0.30078125, "learning_rate": 1.8663028649386087e-05, "loss": 0.7476, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 685 }, { "epoch": 0.09348596347778686, "grad_norm": 0.291015625, "learning_rate": 1.8690313778990454e-05, "loss": 0.7759, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 686 }, { "epoch": 0.09362224039247752, "grad_norm": 0.33984375, "learning_rate": 1.8717598908594817e-05, "loss": 0.8451, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 687 }, { "epoch": 0.09375851730716817, "grad_norm": 0.326171875, "learning_rate": 1.8744884038199184e-05, "loss": 0.7144, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 688 }, { "epoch": 0.09389479422185881, "grad_norm": 0.302734375, "learning_rate": 1.877216916780355e-05, "loss": 0.7441, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 689 }, { "epoch": 0.09403107113654947, "grad_norm": 0.240234375, "learning_rate": 1.8799454297407914e-05, "loss": 0.7182, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 690 }, { "epoch": 0.09416734805124012, "grad_norm": 0.341796875, "learning_rate": 1.882673942701228e-05, "loss": 0.7454, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 691 }, { "epoch": 0.09430362496593077, "grad_norm": 0.34765625, "learning_rate": 1.8854024556616644e-05, "loss": 0.7998, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 692 }, { "epoch": 0.09443990188062143, "grad_norm": 0.34765625, "learning_rate": 1.888130968622101e-05, "loss": 0.795, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 693 }, { "epoch": 0.09457617879531208, "grad_norm": 0.326171875, "learning_rate": 1.8908594815825378e-05, "loss": 0.7091, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 694 }, { "epoch": 0.09471245571000272, "grad_norm": 0.322265625, "learning_rate": 1.893587994542974e-05, "loss": 0.6732, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 695 }, { "epoch": 0.09484873262469337, "grad_norm": 0.48046875, "learning_rate": 1.8963165075034108e-05, "loss": 0.8337, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 696 }, { "epoch": 0.09498500953938403, "grad_norm": 0.287109375, "learning_rate": 1.8990450204638475e-05, "loss": 0.7161, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 697 }, { "epoch": 0.09512128645407468, "grad_norm": 0.5078125, "learning_rate": 1.9017735334242838e-05, "loss": 0.7751, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 698 }, { "epoch": 0.09525756336876533, "grad_norm": 0.263671875, "learning_rate": 1.9045020463847205e-05, "loss": 0.7542, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 699 }, { "epoch": 0.09539384028345599, "grad_norm": 0.28125, "learning_rate": 1.9072305593451568e-05, "loss": 0.8113, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 700 }, { "epoch": 0.09553011719814664, "grad_norm": 0.361328125, "learning_rate": 1.9099590723055935e-05, "loss": 0.8214, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 701 }, { "epoch": 0.09566639411283728, "grad_norm": 0.24609375, "learning_rate": 1.9126875852660302e-05, "loss": 0.7424, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 702 }, { "epoch": 0.09580267102752793, "grad_norm": 0.259765625, "learning_rate": 1.9154160982264665e-05, "loss": 0.732, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 703 }, { "epoch": 0.09593894794221859, "grad_norm": 0.7578125, "learning_rate": 1.9181446111869032e-05, "loss": 0.8486, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 704 }, { "epoch": 0.09607522485690924, "grad_norm": 0.2890625, "learning_rate": 1.92087312414734e-05, "loss": 0.7505, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 705 }, { "epoch": 0.09621150177159989, "grad_norm": 0.31640625, "learning_rate": 1.9236016371077762e-05, "loss": 0.7816, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 706 }, { "epoch": 0.09634777868629055, "grad_norm": 0.36328125, "learning_rate": 1.926330150068213e-05, "loss": 0.7696, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 707 }, { "epoch": 0.0964840556009812, "grad_norm": 0.267578125, "learning_rate": 1.9290586630286496e-05, "loss": 0.7132, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 708 }, { "epoch": 0.09662033251567184, "grad_norm": 0.30859375, "learning_rate": 1.931787175989086e-05, "loss": 0.7653, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 709 }, { "epoch": 0.0967566094303625, "grad_norm": 0.259765625, "learning_rate": 1.9345156889495226e-05, "loss": 0.7806, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 710 }, { "epoch": 0.09689288634505315, "grad_norm": 0.33203125, "learning_rate": 1.9372442019099593e-05, "loss": 0.8047, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 711 }, { "epoch": 0.0970291632597438, "grad_norm": 0.302734375, "learning_rate": 1.9399727148703956e-05, "loss": 0.7847, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 712 }, { "epoch": 0.09716544017443444, "grad_norm": 0.27734375, "learning_rate": 1.9427012278308323e-05, "loss": 0.7684, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 713 }, { "epoch": 0.0973017170891251, "grad_norm": 0.4140625, "learning_rate": 1.945429740791269e-05, "loss": 0.7586, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 714 }, { "epoch": 0.09743799400381575, "grad_norm": 0.283203125, "learning_rate": 1.9481582537517053e-05, "loss": 0.7924, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 715 }, { "epoch": 0.0975742709185064, "grad_norm": 0.3359375, "learning_rate": 1.950886766712142e-05, "loss": 0.7393, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 716 }, { "epoch": 0.09771054783319706, "grad_norm": 0.439453125, "learning_rate": 1.9536152796725787e-05, "loss": 0.7596, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 717 }, { "epoch": 0.09784682474788771, "grad_norm": 0.408203125, "learning_rate": 1.956343792633015e-05, "loss": 0.8223, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 718 }, { "epoch": 0.09798310166257836, "grad_norm": 0.328125, "learning_rate": 1.9590723055934517e-05, "loss": 0.8083, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 719 }, { "epoch": 0.09811937857726902, "grad_norm": 0.345703125, "learning_rate": 1.9618008185538884e-05, "loss": 0.8038, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 720 }, { "epoch": 0.09825565549195966, "grad_norm": 0.26171875, "learning_rate": 1.9645293315143247e-05, "loss": 0.7844, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 721 }, { "epoch": 0.09839193240665031, "grad_norm": 0.38671875, "learning_rate": 1.9672578444747614e-05, "loss": 0.8165, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 722 }, { "epoch": 0.09852820932134096, "grad_norm": 0.515625, "learning_rate": 1.969986357435198e-05, "loss": 0.7785, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 723 }, { "epoch": 0.09866448623603162, "grad_norm": 0.267578125, "learning_rate": 1.9727148703956344e-05, "loss": 0.6898, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 724 }, { "epoch": 0.09880076315072227, "grad_norm": 0.283203125, "learning_rate": 1.975443383356071e-05, "loss": 0.7101, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 725 }, { "epoch": 0.09893704006541292, "grad_norm": 0.32421875, "learning_rate": 1.9781718963165078e-05, "loss": 0.7277, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 726 }, { "epoch": 0.09907331698010358, "grad_norm": 0.380859375, "learning_rate": 1.980900409276944e-05, "loss": 0.7096, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 727 }, { "epoch": 0.09920959389479422, "grad_norm": 0.2373046875, "learning_rate": 1.9836289222373808e-05, "loss": 0.6773, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 728 }, { "epoch": 0.09934587080948487, "grad_norm": 0.333984375, "learning_rate": 1.9863574351978174e-05, "loss": 0.7285, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 729 }, { "epoch": 0.09948214772417552, "grad_norm": 0.296875, "learning_rate": 1.9890859481582538e-05, "loss": 0.7946, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 730 }, { "epoch": 0.09961842463886618, "grad_norm": 0.322265625, "learning_rate": 1.9918144611186905e-05, "loss": 0.882, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 731 }, { "epoch": 0.09975470155355683, "grad_norm": 0.263671875, "learning_rate": 1.994542974079127e-05, "loss": 0.7593, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 732 }, { "epoch": 0.09989097846824747, "grad_norm": 0.349609375, "learning_rate": 1.9972714870395635e-05, "loss": 0.7889, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 733 }, { "epoch": 0.10002725538293814, "grad_norm": 0.41796875, "learning_rate": 2e-05, "loss": 0.7861, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 734 }, { "epoch": 0.10016353229762878, "grad_norm": 0.5859375, "learning_rate": 1.9999998868154503e-05, "loss": 0.8392, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 735 }, { "epoch": 0.10029980921231943, "grad_norm": 0.49609375, "learning_rate": 1.9999995472618274e-05, "loss": 0.8574, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 736 }, { "epoch": 0.10043608612701009, "grad_norm": 0.3359375, "learning_rate": 1.9999989813392076e-05, "loss": 0.7815, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 737 }, { "epoch": 0.10057236304170074, "grad_norm": 0.3515625, "learning_rate": 1.999998189047719e-05, "loss": 0.8314, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 738 }, { "epoch": 0.10070863995639139, "grad_norm": 0.255859375, "learning_rate": 1.9999971703875413e-05, "loss": 0.7719, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 739 }, { "epoch": 0.10084491687108203, "grad_norm": 0.353515625, "learning_rate": 1.9999959253589046e-05, "loss": 0.7733, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 740 }, { "epoch": 0.1009811937857727, "grad_norm": 0.375, "learning_rate": 1.9999944539620915e-05, "loss": 0.8685, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 741 }, { "epoch": 0.10111747070046334, "grad_norm": 0.390625, "learning_rate": 1.9999927561974345e-05, "loss": 0.7964, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 742 }, { "epoch": 0.10125374761515399, "grad_norm": 0.390625, "learning_rate": 1.9999908320653182e-05, "loss": 0.7703, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 743 }, { "epoch": 0.10139002452984465, "grad_norm": 0.337890625, "learning_rate": 1.9999886815661777e-05, "loss": 0.8003, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 744 }, { "epoch": 0.1015263014445353, "grad_norm": 0.349609375, "learning_rate": 1.9999863047005003e-05, "loss": 0.7746, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 745 }, { "epoch": 0.10166257835922594, "grad_norm": 0.2734375, "learning_rate": 1.9999837014688238e-05, "loss": 0.7493, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 746 }, { "epoch": 0.1017988552739166, "grad_norm": 0.37109375, "learning_rate": 1.999980871871738e-05, "loss": 0.7894, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 747 }, { "epoch": 0.10193513218860725, "grad_norm": 0.33203125, "learning_rate": 1.9999778159098826e-05, "loss": 0.7707, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 748 }, { "epoch": 0.1020714091032979, "grad_norm": 0.3515625, "learning_rate": 1.99997453358395e-05, "loss": 0.8242, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 749 }, { "epoch": 0.10220768601798855, "grad_norm": 0.34765625, "learning_rate": 1.9999710248946827e-05, "loss": 0.9349, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 750 }, { "epoch": 0.10234396293267921, "grad_norm": 0.4453125, "learning_rate": 1.9999672898428756e-05, "loss": 0.7695, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 751 }, { "epoch": 0.10248023984736986, "grad_norm": 0.3203125, "learning_rate": 1.9999633284293738e-05, "loss": 0.7026, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 752 }, { "epoch": 0.1026165167620605, "grad_norm": 0.3125, "learning_rate": 1.999959140655074e-05, "loss": 0.7707, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 753 }, { "epoch": 0.10275279367675116, "grad_norm": 0.66015625, "learning_rate": 1.9999547265209244e-05, "loss": 0.8704, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 754 }, { "epoch": 0.10288907059144181, "grad_norm": 0.3203125, "learning_rate": 1.9999500860279242e-05, "loss": 0.6991, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 755 }, { "epoch": 0.10302534750613246, "grad_norm": 0.3359375, "learning_rate": 1.9999452191771237e-05, "loss": 0.7732, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 756 }, { "epoch": 0.1031616244208231, "grad_norm": 0.318359375, "learning_rate": 1.9999401259696242e-05, "loss": 0.7285, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 757 }, { "epoch": 0.10329790133551377, "grad_norm": 0.310546875, "learning_rate": 1.99993480640658e-05, "loss": 0.7829, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 758 }, { "epoch": 0.10343417825020441, "grad_norm": 0.251953125, "learning_rate": 1.999929260489194e-05, "loss": 0.6934, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 759 }, { "epoch": 0.10357045516489506, "grad_norm": 0.330078125, "learning_rate": 1.9999234882187216e-05, "loss": 0.7307, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 760 }, { "epoch": 0.10370673207958572, "grad_norm": 0.357421875, "learning_rate": 1.9999174895964704e-05, "loss": 0.7879, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 761 }, { "epoch": 0.10384300899427637, "grad_norm": 0.392578125, "learning_rate": 1.9999112646237976e-05, "loss": 0.8515, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 762 }, { "epoch": 0.10397928590896702, "grad_norm": 0.546875, "learning_rate": 1.9999048133021128e-05, "loss": 0.6962, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 763 }, { "epoch": 0.10411556282365768, "grad_norm": 0.388671875, "learning_rate": 1.999898135632876e-05, "loss": 0.7428, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 764 }, { "epoch": 0.10425183973834833, "grad_norm": 0.330078125, "learning_rate": 1.999891231617599e-05, "loss": 0.7648, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 765 }, { "epoch": 0.10438811665303897, "grad_norm": 0.388671875, "learning_rate": 1.9998841012578444e-05, "loss": 0.7174, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 766 }, { "epoch": 0.10452439356772962, "grad_norm": 0.314453125, "learning_rate": 1.9998767445552265e-05, "loss": 0.7554, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 767 }, { "epoch": 0.10466067048242028, "grad_norm": 0.3828125, "learning_rate": 1.999869161511411e-05, "loss": 0.7552, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 768 }, { "epoch": 0.10479694739711093, "grad_norm": 0.515625, "learning_rate": 1.9998613521281136e-05, "loss": 0.734, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 769 }, { "epoch": 0.10493322431180158, "grad_norm": 0.2333984375, "learning_rate": 1.999853316407103e-05, "loss": 0.704, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 770 }, { "epoch": 0.10506950122649224, "grad_norm": 0.33984375, "learning_rate": 1.9998450543501975e-05, "loss": 0.7474, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 771 }, { "epoch": 0.10520577814118288, "grad_norm": 0.314453125, "learning_rate": 1.9998365659592676e-05, "loss": 0.8029, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 772 }, { "epoch": 0.10534205505587353, "grad_norm": 0.326171875, "learning_rate": 1.9998278512362354e-05, "loss": 0.7391, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 773 }, { "epoch": 0.1054783319705642, "grad_norm": 0.294921875, "learning_rate": 1.999818910183073e-05, "loss": 0.7124, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 774 }, { "epoch": 0.10561460888525484, "grad_norm": 0.296875, "learning_rate": 1.9998097428018043e-05, "loss": 0.6967, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 775 }, { "epoch": 0.10575088579994549, "grad_norm": 0.279296875, "learning_rate": 1.9998003490945052e-05, "loss": 0.7373, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 776 }, { "epoch": 0.10588716271463613, "grad_norm": 0.3125, "learning_rate": 1.9997907290633013e-05, "loss": 0.7029, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 777 }, { "epoch": 0.1060234396293268, "grad_norm": 0.283203125, "learning_rate": 1.9997808827103707e-05, "loss": 0.7083, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 778 }, { "epoch": 0.10615971654401744, "grad_norm": 0.65625, "learning_rate": 1.9997708100379423e-05, "loss": 0.7761, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 779 }, { "epoch": 0.10629599345870809, "grad_norm": 0.31640625, "learning_rate": 1.9997605110482963e-05, "loss": 0.8216, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 780 }, { "epoch": 0.10643227037339875, "grad_norm": 0.3515625, "learning_rate": 1.999749985743764e-05, "loss": 0.6861, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 781 }, { "epoch": 0.1065685472880894, "grad_norm": 0.43359375, "learning_rate": 1.9997392341267278e-05, "loss": 0.7273, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 782 }, { "epoch": 0.10670482420278005, "grad_norm": 0.3203125, "learning_rate": 1.999728256199622e-05, "loss": 0.7512, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 783 }, { "epoch": 0.1068411011174707, "grad_norm": 0.31640625, "learning_rate": 1.9997170519649313e-05, "loss": 0.7506, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 784 }, { "epoch": 0.10697737803216135, "grad_norm": 0.28125, "learning_rate": 1.999705621425192e-05, "loss": 0.7084, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 785 }, { "epoch": 0.107113654946852, "grad_norm": 0.53125, "learning_rate": 1.9996939645829918e-05, "loss": 0.8189, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 786 }, { "epoch": 0.10724993186154265, "grad_norm": 0.302734375, "learning_rate": 1.9996820814409693e-05, "loss": 0.7067, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 787 }, { "epoch": 0.10738620877623331, "grad_norm": 0.296875, "learning_rate": 1.9996699720018146e-05, "loss": 0.7258, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 788 }, { "epoch": 0.10752248569092396, "grad_norm": 0.28125, "learning_rate": 1.9996576362682688e-05, "loss": 0.744, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 789 }, { "epoch": 0.1076587626056146, "grad_norm": 0.275390625, "learning_rate": 1.9996450742431243e-05, "loss": 0.703, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 790 }, { "epoch": 0.10779503952030527, "grad_norm": 0.49609375, "learning_rate": 1.999632285929225e-05, "loss": 0.8826, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 791 }, { "epoch": 0.10793131643499591, "grad_norm": 0.40625, "learning_rate": 1.999619271329466e-05, "loss": 0.8651, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 792 }, { "epoch": 0.10806759334968656, "grad_norm": 0.2890625, "learning_rate": 1.999606030446792e-05, "loss": 0.7827, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 793 }, { "epoch": 0.10820387026437721, "grad_norm": 0.33203125, "learning_rate": 1.999592563284202e-05, "loss": 0.7882, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 794 }, { "epoch": 0.10834014717906787, "grad_norm": 0.361328125, "learning_rate": 1.9995788698447437e-05, "loss": 0.8185, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 795 }, { "epoch": 0.10847642409375852, "grad_norm": 0.2578125, "learning_rate": 1.9995649501315172e-05, "loss": 0.7857, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 796 }, { "epoch": 0.10861270100844916, "grad_norm": 0.337890625, "learning_rate": 1.999550804147673e-05, "loss": 0.7038, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 797 }, { "epoch": 0.10874897792313983, "grad_norm": 0.3203125, "learning_rate": 1.9995364318964137e-05, "loss": 0.6831, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 798 }, { "epoch": 0.10888525483783047, "grad_norm": 0.376953125, "learning_rate": 1.9995218333809935e-05, "loss": 0.9007, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 799 }, { "epoch": 0.10902153175252112, "grad_norm": 0.3125, "learning_rate": 1.9995070086047152e-05, "loss": 0.7239, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 800 }, { "epoch": 0.10915780866721178, "grad_norm": 0.275390625, "learning_rate": 1.9994919575709364e-05, "loss": 0.7231, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 801 }, { "epoch": 0.10929408558190243, "grad_norm": 0.322265625, "learning_rate": 1.999476680283063e-05, "loss": 0.7177, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 802 }, { "epoch": 0.10943036249659308, "grad_norm": 0.375, "learning_rate": 1.9994611767445542e-05, "loss": 0.8376, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 803 }, { "epoch": 0.10956663941128372, "grad_norm": 0.28515625, "learning_rate": 1.999445446958919e-05, "loss": 0.7304, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 804 }, { "epoch": 0.10970291632597438, "grad_norm": 0.25390625, "learning_rate": 1.999429490929718e-05, "loss": 0.8273, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 805 }, { "epoch": 0.10983919324066503, "grad_norm": 0.318359375, "learning_rate": 1.9994133086605642e-05, "loss": 0.7461, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 806 }, { "epoch": 0.10997547015535568, "grad_norm": 0.25390625, "learning_rate": 1.999396900155119e-05, "loss": 0.6554, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 807 }, { "epoch": 0.11011174707004634, "grad_norm": 0.287109375, "learning_rate": 1.9993802654170982e-05, "loss": 0.7348, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 808 }, { "epoch": 0.11024802398473699, "grad_norm": 0.44921875, "learning_rate": 1.999363404450267e-05, "loss": 0.8028, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 809 }, { "epoch": 0.11038430089942763, "grad_norm": 0.31640625, "learning_rate": 1.9993463172584423e-05, "loss": 0.7757, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 810 }, { "epoch": 0.11052057781411828, "grad_norm": 0.29296875, "learning_rate": 1.9993290038454916e-05, "loss": 0.7625, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 811 }, { "epoch": 0.11065685472880894, "grad_norm": 0.255859375, "learning_rate": 1.9993114642153348e-05, "loss": 0.7273, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 812 }, { "epoch": 0.11079313164349959, "grad_norm": 0.60546875, "learning_rate": 1.999293698371942e-05, "loss": 0.7835, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 813 }, { "epoch": 0.11092940855819024, "grad_norm": 0.271484375, "learning_rate": 1.999275706319335e-05, "loss": 0.7314, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 814 }, { "epoch": 0.1110656854728809, "grad_norm": 0.345703125, "learning_rate": 1.999257488061586e-05, "loss": 0.7852, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 815 }, { "epoch": 0.11120196238757155, "grad_norm": 0.310546875, "learning_rate": 1.99923904360282e-05, "loss": 0.7476, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 816 }, { "epoch": 0.11133823930226219, "grad_norm": 0.2734375, "learning_rate": 1.9992203729472116e-05, "loss": 0.7305, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 817 }, { "epoch": 0.11147451621695285, "grad_norm": 0.279296875, "learning_rate": 1.9992014760989876e-05, "loss": 0.7939, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 818 }, { "epoch": 0.1116107931316435, "grad_norm": 0.28515625, "learning_rate": 1.9991823530624254e-05, "loss": 0.7382, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 819 }, { "epoch": 0.11174707004633415, "grad_norm": 0.46875, "learning_rate": 1.999163003841854e-05, "loss": 0.8751, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 820 }, { "epoch": 0.1118833469610248, "grad_norm": 0.3046875, "learning_rate": 1.9991434284416536e-05, "loss": 0.8049, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 821 }, { "epoch": 0.11201962387571546, "grad_norm": 0.2490234375, "learning_rate": 1.9991236268662555e-05, "loss": 0.7403, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 822 }, { "epoch": 0.1121559007904061, "grad_norm": 0.34765625, "learning_rate": 1.9991035991201415e-05, "loss": 0.8293, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 823 }, { "epoch": 0.11229217770509675, "grad_norm": 0.375, "learning_rate": 1.999083345207846e-05, "loss": 0.7515, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 824 }, { "epoch": 0.11242845461978741, "grad_norm": 0.328125, "learning_rate": 1.999062865133954e-05, "loss": 0.75, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 825 }, { "epoch": 0.11256473153447806, "grad_norm": 0.337890625, "learning_rate": 1.9990421589031003e-05, "loss": 0.7735, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 826 }, { "epoch": 0.11270100844916871, "grad_norm": 0.427734375, "learning_rate": 1.9990212265199738e-05, "loss": 0.7861, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 827 }, { "epoch": 0.11283728536385937, "grad_norm": 0.30859375, "learning_rate": 1.9990000679893116e-05, "loss": 0.7513, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 828 }, { "epoch": 0.11297356227855002, "grad_norm": 0.8671875, "learning_rate": 1.9989786833159047e-05, "loss": 0.7565, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 829 }, { "epoch": 0.11310983919324066, "grad_norm": 0.36328125, "learning_rate": 1.9989570725045922e-05, "loss": 0.7843, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 830 }, { "epoch": 0.11324611610793131, "grad_norm": 0.341796875, "learning_rate": 1.9989352355602677e-05, "loss": 0.7391, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 831 }, { "epoch": 0.11338239302262197, "grad_norm": 0.298828125, "learning_rate": 1.9989131724878734e-05, "loss": 0.7682, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 832 }, { "epoch": 0.11351866993731262, "grad_norm": 0.283203125, "learning_rate": 1.9988908832924044e-05, "loss": 0.8239, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 833 }, { "epoch": 0.11365494685200327, "grad_norm": 0.294921875, "learning_rate": 1.9988683679789057e-05, "loss": 0.7595, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 834 }, { "epoch": 0.11379122376669393, "grad_norm": 0.279296875, "learning_rate": 1.9988456265524744e-05, "loss": 0.7738, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 835 }, { "epoch": 0.11392750068138457, "grad_norm": 0.2890625, "learning_rate": 1.9988226590182583e-05, "loss": 0.7186, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 836 }, { "epoch": 0.11406377759607522, "grad_norm": 0.328125, "learning_rate": 1.9987994653814567e-05, "loss": 0.7594, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 837 }, { "epoch": 0.11420005451076587, "grad_norm": 0.349609375, "learning_rate": 1.9987760456473197e-05, "loss": 0.6879, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 838 }, { "epoch": 0.11433633142545653, "grad_norm": 0.2412109375, "learning_rate": 1.9987523998211494e-05, "loss": 0.7192, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 839 }, { "epoch": 0.11447260834014718, "grad_norm": 0.296875, "learning_rate": 1.9987285279082977e-05, "loss": 0.7482, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 840 }, { "epoch": 0.11460888525483783, "grad_norm": 0.50390625, "learning_rate": 1.9987044299141683e-05, "loss": 0.7562, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 841 }, { "epoch": 0.11474516216952849, "grad_norm": 0.349609375, "learning_rate": 1.9986801058442172e-05, "loss": 0.7513, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 842 }, { "epoch": 0.11488143908421913, "grad_norm": 0.333984375, "learning_rate": 1.9986555557039505e-05, "loss": 0.8161, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 843 }, { "epoch": 0.11501771599890978, "grad_norm": 0.26171875, "learning_rate": 1.998630779498925e-05, "loss": 0.8139, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 844 }, { "epoch": 0.11515399291360044, "grad_norm": 0.283203125, "learning_rate": 1.998605777234749e-05, "loss": 0.6718, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 845 }, { "epoch": 0.11529026982829109, "grad_norm": 0.2890625, "learning_rate": 1.9985805489170836e-05, "loss": 0.7624, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 846 }, { "epoch": 0.11542654674298174, "grad_norm": 0.26953125, "learning_rate": 1.9985550945516384e-05, "loss": 0.6496, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 847 }, { "epoch": 0.11556282365767238, "grad_norm": 0.27734375, "learning_rate": 1.9985294141441756e-05, "loss": 0.7399, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 848 }, { "epoch": 0.11569910057236305, "grad_norm": 0.2578125, "learning_rate": 1.998503507700509e-05, "loss": 0.6704, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 849 }, { "epoch": 0.11583537748705369, "grad_norm": 0.291015625, "learning_rate": 1.9984773752265033e-05, "loss": 0.7601, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 850 }, { "epoch": 0.11597165440174434, "grad_norm": 0.30078125, "learning_rate": 1.9984510167280732e-05, "loss": 0.7188, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 851 }, { "epoch": 0.116107931316435, "grad_norm": 0.29296875, "learning_rate": 1.998424432211186e-05, "loss": 0.7702, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 852 }, { "epoch": 0.11624420823112565, "grad_norm": 0.333984375, "learning_rate": 1.9983976216818593e-05, "loss": 0.7266, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 853 }, { "epoch": 0.1163804851458163, "grad_norm": 0.32421875, "learning_rate": 1.9983705851461622e-05, "loss": 0.7461, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 854 }, { "epoch": 0.11651676206050696, "grad_norm": 0.53125, "learning_rate": 1.9983433226102153e-05, "loss": 0.9015, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 855 }, { "epoch": 0.1166530389751976, "grad_norm": 0.39453125, "learning_rate": 1.9983158340801898e-05, "loss": 0.7637, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 856 }, { "epoch": 0.11678931588988825, "grad_norm": 0.333984375, "learning_rate": 1.9982881195623082e-05, "loss": 0.7209, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 857 }, { "epoch": 0.1169255928045789, "grad_norm": 0.34765625, "learning_rate": 1.998260179062844e-05, "loss": 0.7718, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 858 }, { "epoch": 0.11706186971926956, "grad_norm": 0.369140625, "learning_rate": 1.9982320125881227e-05, "loss": 0.8812, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 859 }, { "epoch": 0.1171981466339602, "grad_norm": 2.375, "learning_rate": 1.9982036201445195e-05, "loss": 0.7901, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 860 }, { "epoch": 0.11733442354865085, "grad_norm": 0.3203125, "learning_rate": 1.998175001738462e-05, "loss": 0.7651, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 861 }, { "epoch": 0.11747070046334152, "grad_norm": 0.380859375, "learning_rate": 1.998146157376429e-05, "loss": 0.7627, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 862 }, { "epoch": 0.11760697737803216, "grad_norm": 0.2734375, "learning_rate": 1.9981170870649492e-05, "loss": 0.773, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 863 }, { "epoch": 0.11774325429272281, "grad_norm": 0.29296875, "learning_rate": 1.9980877908106033e-05, "loss": 0.7704, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 864 }, { "epoch": 0.11787953120741347, "grad_norm": 0.314453125, "learning_rate": 1.9980582686200236e-05, "loss": 0.7545, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 865 }, { "epoch": 0.11801580812210412, "grad_norm": 0.349609375, "learning_rate": 1.9980285204998922e-05, "loss": 0.7224, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 866 }, { "epoch": 0.11815208503679477, "grad_norm": 0.37109375, "learning_rate": 1.9979985464569444e-05, "loss": 0.8157, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 867 }, { "epoch": 0.11828836195148541, "grad_norm": 0.263671875, "learning_rate": 1.997968346497964e-05, "loss": 0.7046, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 868 }, { "epoch": 0.11842463886617607, "grad_norm": 0.251953125, "learning_rate": 1.9979379206297883e-05, "loss": 0.781, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 869 }, { "epoch": 0.11856091578086672, "grad_norm": 0.375, "learning_rate": 1.9979072688593046e-05, "loss": 0.8135, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 870 }, { "epoch": 0.11869719269555737, "grad_norm": 0.34765625, "learning_rate": 1.997876391193451e-05, "loss": 0.8183, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 871 }, { "epoch": 0.11883346961024803, "grad_norm": 0.25390625, "learning_rate": 1.9978452876392174e-05, "loss": 0.7082, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 872 }, { "epoch": 0.11896974652493868, "grad_norm": 0.31640625, "learning_rate": 1.9978139582036455e-05, "loss": 0.7107, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 873 }, { "epoch": 0.11910602343962932, "grad_norm": 0.337890625, "learning_rate": 1.997782402893826e-05, "loss": 0.7865, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 874 }, { "epoch": 0.11924230035431997, "grad_norm": 0.341796875, "learning_rate": 1.9977506217169035e-05, "loss": 0.7298, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 875 }, { "epoch": 0.11937857726901063, "grad_norm": 0.291015625, "learning_rate": 1.9977186146800707e-05, "loss": 0.7348, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 876 }, { "epoch": 0.11951485418370128, "grad_norm": 0.30078125, "learning_rate": 1.9976863817905745e-05, "loss": 0.7861, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 877 }, { "epoch": 0.11965113109839193, "grad_norm": 0.27734375, "learning_rate": 1.9976539230557107e-05, "loss": 0.6837, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 878 }, { "epoch": 0.11978740801308259, "grad_norm": 0.35546875, "learning_rate": 1.9976212384828267e-05, "loss": 0.7882, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 879 }, { "epoch": 0.11992368492777324, "grad_norm": 0.380859375, "learning_rate": 1.997588328079322e-05, "loss": 0.816, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 880 }, { "epoch": 0.12005996184246388, "grad_norm": 0.26953125, "learning_rate": 1.9975551918526456e-05, "loss": 0.7526, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 881 }, { "epoch": 0.12019623875715454, "grad_norm": 0.2890625, "learning_rate": 1.9975218298102997e-05, "loss": 0.74, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 882 }, { "epoch": 0.12033251567184519, "grad_norm": 0.322265625, "learning_rate": 1.997488241959835e-05, "loss": 0.7515, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 883 }, { "epoch": 0.12046879258653584, "grad_norm": 0.34765625, "learning_rate": 1.997454428308856e-05, "loss": 0.8103, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 884 }, { "epoch": 0.12060506950122649, "grad_norm": 0.3125, "learning_rate": 1.9974203888650164e-05, "loss": 0.8706, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 885 }, { "epoch": 0.12074134641591715, "grad_norm": 0.25, "learning_rate": 1.997386123636022e-05, "loss": 0.681, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 886 }, { "epoch": 0.1208776233306078, "grad_norm": 0.330078125, "learning_rate": 1.997351632629629e-05, "loss": 0.7443, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 887 }, { "epoch": 0.12101390024529844, "grad_norm": 0.357421875, "learning_rate": 1.9973169158536455e-05, "loss": 0.8779, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 888 }, { "epoch": 0.1211501771599891, "grad_norm": 0.27734375, "learning_rate": 1.99728197331593e-05, "loss": 0.8239, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 889 }, { "epoch": 0.12128645407467975, "grad_norm": 0.29296875, "learning_rate": 1.9972468050243926e-05, "loss": 0.7498, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 890 }, { "epoch": 0.1214227309893704, "grad_norm": 0.28125, "learning_rate": 1.9972114109869944e-05, "loss": 0.6945, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 891 }, { "epoch": 0.12155900790406106, "grad_norm": 0.337890625, "learning_rate": 1.9971757912117475e-05, "loss": 0.7523, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 892 }, { "epoch": 0.1216952848187517, "grad_norm": 0.314453125, "learning_rate": 1.9971399457067148e-05, "loss": 0.7182, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 893 }, { "epoch": 0.12183156173344235, "grad_norm": 0.25390625, "learning_rate": 1.9971038744800105e-05, "loss": 0.7473, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 894 }, { "epoch": 0.121967838648133, "grad_norm": 0.330078125, "learning_rate": 1.997067577539801e-05, "loss": 0.7896, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 895 }, { "epoch": 0.12210411556282366, "grad_norm": 0.296875, "learning_rate": 1.9970310548943013e-05, "loss": 0.7027, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 896 }, { "epoch": 0.12224039247751431, "grad_norm": 0.275390625, "learning_rate": 1.9969943065517806e-05, "loss": 0.7134, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 897 }, { "epoch": 0.12237666939220496, "grad_norm": 0.296875, "learning_rate": 1.9969573325205563e-05, "loss": 0.7489, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 898 }, { "epoch": 0.12251294630689562, "grad_norm": 0.33203125, "learning_rate": 1.996920132808999e-05, "loss": 0.7894, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 899 }, { "epoch": 0.12264922322158626, "grad_norm": 0.337890625, "learning_rate": 1.996882707425529e-05, "loss": 0.7773, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 900 }, { "epoch": 0.12278550013627691, "grad_norm": 0.3359375, "learning_rate": 1.9968450563786187e-05, "loss": 0.818, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 901 }, { "epoch": 0.12292177705096756, "grad_norm": 0.3984375, "learning_rate": 1.9968071796767908e-05, "loss": 0.8229, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 902 }, { "epoch": 0.12305805396565822, "grad_norm": 0.291015625, "learning_rate": 1.9967690773286198e-05, "loss": 0.7253, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 903 }, { "epoch": 0.12319433088034887, "grad_norm": 0.306640625, "learning_rate": 1.9967307493427307e-05, "loss": 0.6978, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 904 }, { "epoch": 0.12333060779503952, "grad_norm": 0.34375, "learning_rate": 1.9966921957277993e-05, "loss": 0.7471, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 905 }, { "epoch": 0.12346688470973018, "grad_norm": 0.34765625, "learning_rate": 1.9966534164925537e-05, "loss": 0.8303, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 906 }, { "epoch": 0.12360316162442082, "grad_norm": 0.322265625, "learning_rate": 1.996614411645772e-05, "loss": 0.7801, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 907 }, { "epoch": 0.12373943853911147, "grad_norm": 0.318359375, "learning_rate": 1.9965751811962836e-05, "loss": 0.7082, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 908 }, { "epoch": 0.12387571545380213, "grad_norm": 0.328125, "learning_rate": 1.996535725152969e-05, "loss": 0.822, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 909 }, { "epoch": 0.12401199236849278, "grad_norm": 0.453125, "learning_rate": 1.99649604352476e-05, "loss": 0.8311, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 910 }, { "epoch": 0.12414826928318343, "grad_norm": 0.458984375, "learning_rate": 1.996456136320639e-05, "loss": 0.6861, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 911 }, { "epoch": 0.12428454619787407, "grad_norm": 0.322265625, "learning_rate": 1.9964160035496408e-05, "loss": 0.7336, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 912 }, { "epoch": 0.12442082311256474, "grad_norm": 0.494140625, "learning_rate": 1.9963756452208488e-05, "loss": 0.7689, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 913 }, { "epoch": 0.12455710002725538, "grad_norm": 0.314453125, "learning_rate": 1.9963350613434e-05, "loss": 0.8116, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 914 }, { "epoch": 0.12469337694194603, "grad_norm": 0.63671875, "learning_rate": 1.9962942519264807e-05, "loss": 0.8246, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 915 }, { "epoch": 0.12482965385663669, "grad_norm": 0.2578125, "learning_rate": 1.996253216979329e-05, "loss": 0.8168, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 916 }, { "epoch": 0.12496593077132734, "grad_norm": 0.447265625, "learning_rate": 1.9962119565112337e-05, "loss": 0.7724, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 917 }, { "epoch": 0.12510220768601799, "grad_norm": 0.333984375, "learning_rate": 1.9961704705315353e-05, "loss": 0.7228, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 918 }, { "epoch": 0.12523848460070863, "grad_norm": 0.26953125, "learning_rate": 1.9961287590496252e-05, "loss": 0.7249, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 919 }, { "epoch": 0.12537476151539928, "grad_norm": 0.30859375, "learning_rate": 1.996086822074945e-05, "loss": 0.7212, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 920 }, { "epoch": 0.12551103843008996, "grad_norm": 0.33203125, "learning_rate": 1.996044659616988e-05, "loss": 0.7778, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 921 }, { "epoch": 0.1256473153447806, "grad_norm": 0.48828125, "learning_rate": 1.9960022716852988e-05, "loss": 0.6941, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 922 }, { "epoch": 0.12578359225947125, "grad_norm": 0.296875, "learning_rate": 1.995959658289473e-05, "loss": 0.7707, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 923 }, { "epoch": 0.1259198691741619, "grad_norm": 0.2890625, "learning_rate": 1.9959168194391557e-05, "loss": 0.6934, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 924 }, { "epoch": 0.12605614608885254, "grad_norm": 0.306640625, "learning_rate": 1.995873755144046e-05, "loss": 0.7342, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 925 }, { "epoch": 0.1261924230035432, "grad_norm": 0.318359375, "learning_rate": 1.9958304654138906e-05, "loss": 0.7628, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 926 }, { "epoch": 0.12632869991823384, "grad_norm": 0.349609375, "learning_rate": 1.99578695025849e-05, "loss": 0.7957, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 927 }, { "epoch": 0.1264649768329245, "grad_norm": 0.34765625, "learning_rate": 1.9957432096876944e-05, "loss": 0.7815, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 928 }, { "epoch": 0.12660125374761516, "grad_norm": 0.34765625, "learning_rate": 1.9956992437114056e-05, "loss": 0.7836, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 929 }, { "epoch": 0.1267375306623058, "grad_norm": 0.265625, "learning_rate": 1.995655052339576e-05, "loss": 0.7092, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 930 }, { "epoch": 0.12687380757699646, "grad_norm": 0.3203125, "learning_rate": 1.995610635582209e-05, "loss": 0.772, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 931 }, { "epoch": 0.1270100844916871, "grad_norm": 0.435546875, "learning_rate": 1.9955659934493592e-05, "loss": 0.7611, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 932 }, { "epoch": 0.12714636140637775, "grad_norm": 0.53125, "learning_rate": 1.9955211259511324e-05, "loss": 0.7387, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 933 }, { "epoch": 0.1272826383210684, "grad_norm": 0.29296875, "learning_rate": 1.9954760330976848e-05, "loss": 0.7442, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 934 }, { "epoch": 0.12741891523575907, "grad_norm": 0.287109375, "learning_rate": 1.9954307148992244e-05, "loss": 0.7384, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 935 }, { "epoch": 0.12755519215044972, "grad_norm": 0.259765625, "learning_rate": 1.99538517136601e-05, "loss": 0.6496, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 936 }, { "epoch": 0.12769146906514037, "grad_norm": 0.2890625, "learning_rate": 1.9953394025083507e-05, "loss": 0.7902, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 937 }, { "epoch": 0.12782774597983101, "grad_norm": 0.24609375, "learning_rate": 1.9952934083366077e-05, "loss": 0.6661, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 938 }, { "epoch": 0.12796402289452166, "grad_norm": 0.341796875, "learning_rate": 1.995247188861192e-05, "loss": 0.7758, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 939 }, { "epoch": 0.1281002998092123, "grad_norm": 0.30078125, "learning_rate": 1.9952007440925674e-05, "loss": 0.7264, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 940 }, { "epoch": 0.12823657672390298, "grad_norm": 0.279296875, "learning_rate": 1.995154074041246e-05, "loss": 0.715, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 941 }, { "epoch": 0.12837285363859363, "grad_norm": 0.33984375, "learning_rate": 1.995107178717794e-05, "loss": 0.7339, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 942 }, { "epoch": 0.12850913055328428, "grad_norm": 0.333984375, "learning_rate": 1.9950600581328258e-05, "loss": 0.6741, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 943 }, { "epoch": 0.12864540746797493, "grad_norm": 0.59765625, "learning_rate": 1.995012712297009e-05, "loss": 0.7474, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 944 }, { "epoch": 0.12878168438266557, "grad_norm": 0.28125, "learning_rate": 1.9949651412210606e-05, "loss": 0.6833, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 945 }, { "epoch": 0.12891796129735622, "grad_norm": 0.400390625, "learning_rate": 1.9949173449157494e-05, "loss": 0.9026, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 946 }, { "epoch": 0.12905423821204687, "grad_norm": 0.423828125, "learning_rate": 1.994869323391895e-05, "loss": 0.7267, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 947 }, { "epoch": 0.12919051512673754, "grad_norm": 0.3203125, "learning_rate": 1.9948210766603683e-05, "loss": 0.7782, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 948 }, { "epoch": 0.1293267920414282, "grad_norm": 0.251953125, "learning_rate": 1.9947726047320905e-05, "loss": 0.6851, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 949 }, { "epoch": 0.12946306895611884, "grad_norm": 0.279296875, "learning_rate": 1.9947239076180345e-05, "loss": 0.6834, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 950 }, { "epoch": 0.12959934587080948, "grad_norm": 0.30078125, "learning_rate": 1.9946749853292233e-05, "loss": 0.7716, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 951 }, { "epoch": 0.12973562278550013, "grad_norm": 0.376953125, "learning_rate": 1.9946258378767317e-05, "loss": 0.7581, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 952 }, { "epoch": 0.12987189970019078, "grad_norm": 0.296875, "learning_rate": 1.9945764652716853e-05, "loss": 0.7475, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 953 }, { "epoch": 0.13000817661488143, "grad_norm": 0.29296875, "learning_rate": 1.99452686752526e-05, "loss": 0.8379, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 954 }, { "epoch": 0.1301444535295721, "grad_norm": 0.59375, "learning_rate": 1.994477044648684e-05, "loss": 0.7549, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 955 }, { "epoch": 0.13028073044426275, "grad_norm": 0.33984375, "learning_rate": 1.994426996653235e-05, "loss": 0.8551, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 956 }, { "epoch": 0.1304170073589534, "grad_norm": 0.345703125, "learning_rate": 1.9943767235502424e-05, "loss": 0.7582, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 957 }, { "epoch": 0.13055328427364404, "grad_norm": 0.451171875, "learning_rate": 1.9943262253510868e-05, "loss": 0.7082, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 958 }, { "epoch": 0.1306895611883347, "grad_norm": 0.40625, "learning_rate": 1.994275502067199e-05, "loss": 0.7701, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 959 }, { "epoch": 0.13082583810302534, "grad_norm": 0.326171875, "learning_rate": 1.9942245537100617e-05, "loss": 0.8485, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 960 }, { "epoch": 0.13096211501771599, "grad_norm": 0.46484375, "learning_rate": 1.9941733802912078e-05, "loss": 0.765, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 961 }, { "epoch": 0.13109839193240666, "grad_norm": 0.33203125, "learning_rate": 1.9941219818222213e-05, "loss": 0.7422, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 962 }, { "epoch": 0.1312346688470973, "grad_norm": 0.310546875, "learning_rate": 1.9940703583147373e-05, "loss": 0.7481, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 963 }, { "epoch": 0.13137094576178796, "grad_norm": 0.322265625, "learning_rate": 1.9940185097804416e-05, "loss": 0.7525, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 964 }, { "epoch": 0.1315072226764786, "grad_norm": 0.26953125, "learning_rate": 1.9939664362310713e-05, "loss": 0.7405, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 965 }, { "epoch": 0.13164349959116925, "grad_norm": 0.34765625, "learning_rate": 1.9939141376784144e-05, "loss": 0.7158, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 966 }, { "epoch": 0.1317797765058599, "grad_norm": 0.32421875, "learning_rate": 1.9938616141343093e-05, "loss": 0.765, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 967 }, { "epoch": 0.13191605342055057, "grad_norm": 0.40625, "learning_rate": 1.9938088656106458e-05, "loss": 0.747, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 968 }, { "epoch": 0.13205233033524122, "grad_norm": 0.2890625, "learning_rate": 1.993755892119365e-05, "loss": 0.7091, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 969 }, { "epoch": 0.13218860724993187, "grad_norm": 0.27734375, "learning_rate": 1.9937026936724575e-05, "loss": 0.7718, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 970 }, { "epoch": 0.1323248841646225, "grad_norm": 0.28125, "learning_rate": 1.993649270281967e-05, "loss": 0.7791, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 971 }, { "epoch": 0.13246116107931316, "grad_norm": 2.09375, "learning_rate": 1.9935956219599854e-05, "loss": 0.8363, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 972 }, { "epoch": 0.1325974379940038, "grad_norm": 0.3359375, "learning_rate": 1.9935417487186587e-05, "loss": 0.7668, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 973 }, { "epoch": 0.13273371490869446, "grad_norm": 0.380859375, "learning_rate": 1.993487650570181e-05, "loss": 0.8036, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 974 }, { "epoch": 0.13286999182338513, "grad_norm": 0.263671875, "learning_rate": 1.9934333275267988e-05, "loss": 0.6971, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 975 }, { "epoch": 0.13300626873807578, "grad_norm": 0.298828125, "learning_rate": 1.993378779600809e-05, "loss": 0.7784, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 976 }, { "epoch": 0.13314254565276643, "grad_norm": 0.263671875, "learning_rate": 1.9933240068045596e-05, "loss": 0.7504, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 977 }, { "epoch": 0.13327882256745707, "grad_norm": 0.296875, "learning_rate": 1.9932690091504497e-05, "loss": 0.7239, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 978 }, { "epoch": 0.13341509948214772, "grad_norm": 0.306640625, "learning_rate": 1.9932137866509294e-05, "loss": 0.7941, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 979 }, { "epoch": 0.13355137639683837, "grad_norm": 0.25, "learning_rate": 1.9931583393184984e-05, "loss": 0.7189, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 980 }, { "epoch": 0.13368765331152901, "grad_norm": 0.25390625, "learning_rate": 1.9931026671657087e-05, "loss": 0.7003, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 981 }, { "epoch": 0.1338239302262197, "grad_norm": 0.376953125, "learning_rate": 1.9930467702051632e-05, "loss": 0.785, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 982 }, { "epoch": 0.13396020714091034, "grad_norm": 0.3984375, "learning_rate": 1.9929906484495145e-05, "loss": 0.6913, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 983 }, { "epoch": 0.13409648405560098, "grad_norm": 0.326171875, "learning_rate": 1.9929343019114674e-05, "loss": 0.7213, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 984 }, { "epoch": 0.13423276097029163, "grad_norm": 0.341796875, "learning_rate": 1.9928777306037766e-05, "loss": 0.7881, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 985 }, { "epoch": 0.13436903788498228, "grad_norm": 0.283203125, "learning_rate": 1.9928209345392485e-05, "loss": 0.682, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 986 }, { "epoch": 0.13450531479967293, "grad_norm": 0.314453125, "learning_rate": 1.9927639137307397e-05, "loss": 0.7732, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 987 }, { "epoch": 0.13464159171436357, "grad_norm": 0.357421875, "learning_rate": 1.9927066681911584e-05, "loss": 0.8717, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 988 }, { "epoch": 0.13477786862905425, "grad_norm": 0.33984375, "learning_rate": 1.9926491979334623e-05, "loss": 0.7599, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 989 }, { "epoch": 0.1349141455437449, "grad_norm": 0.357421875, "learning_rate": 1.9925915029706617e-05, "loss": 0.8585, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 990 }, { "epoch": 0.13505042245843554, "grad_norm": 0.287109375, "learning_rate": 1.9925335833158164e-05, "loss": 0.707, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 991 }, { "epoch": 0.1351866993731262, "grad_norm": 0.26953125, "learning_rate": 1.9924754389820382e-05, "loss": 0.6255, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 992 }, { "epoch": 0.13532297628781684, "grad_norm": 0.353515625, "learning_rate": 1.992417069982489e-05, "loss": 0.7896, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 993 }, { "epoch": 0.13545925320250748, "grad_norm": 0.287109375, "learning_rate": 1.9923584763303815e-05, "loss": 0.7297, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 994 }, { "epoch": 0.13559553011719816, "grad_norm": 0.28515625, "learning_rate": 1.9922996580389796e-05, "loss": 0.7919, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 995 }, { "epoch": 0.1357318070318888, "grad_norm": 0.28515625, "learning_rate": 1.992240615121598e-05, "loss": 0.8232, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 996 }, { "epoch": 0.13586808394657945, "grad_norm": 0.251953125, "learning_rate": 1.992181347591602e-05, "loss": 0.7239, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 997 }, { "epoch": 0.1360043608612701, "grad_norm": 0.359375, "learning_rate": 1.9921218554624083e-05, "loss": 0.7905, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 998 }, { "epoch": 0.13614063777596075, "grad_norm": 0.2890625, "learning_rate": 1.992062138747484e-05, "loss": 0.6965, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 999 }, { "epoch": 0.1362769146906514, "grad_norm": 0.283203125, "learning_rate": 1.9920021974603468e-05, "loss": 0.6707, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1000 }, { "epoch": 0.13641319160534204, "grad_norm": 0.361328125, "learning_rate": 1.9919420316145658e-05, "loss": 0.8333, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1001 }, { "epoch": 0.13654946852003272, "grad_norm": 0.34375, "learning_rate": 1.9918816412237603e-05, "loss": 0.7351, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1002 }, { "epoch": 0.13668574543472337, "grad_norm": 0.291015625, "learning_rate": 1.9918210263016018e-05, "loss": 0.7207, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1003 }, { "epoch": 0.136822022349414, "grad_norm": 0.306640625, "learning_rate": 1.9917601868618105e-05, "loss": 0.6735, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1004 }, { "epoch": 0.13695829926410466, "grad_norm": 0.318359375, "learning_rate": 1.9916991229181594e-05, "loss": 0.8031, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1005 }, { "epoch": 0.1370945761787953, "grad_norm": 0.330078125, "learning_rate": 1.991637834484471e-05, "loss": 0.8268, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1006 }, { "epoch": 0.13723085309348595, "grad_norm": 0.3515625, "learning_rate": 1.9915763215746192e-05, "loss": 0.7483, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1007 }, { "epoch": 0.1373671300081766, "grad_norm": 0.310546875, "learning_rate": 1.991514584202529e-05, "loss": 0.6939, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1008 }, { "epoch": 0.13750340692286728, "grad_norm": 0.326171875, "learning_rate": 1.9914526223821753e-05, "loss": 0.8516, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1009 }, { "epoch": 0.13763968383755792, "grad_norm": 0.28515625, "learning_rate": 1.9913904361275846e-05, "loss": 0.8121, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1010 }, { "epoch": 0.13777596075224857, "grad_norm": 0.5390625, "learning_rate": 1.991328025452834e-05, "loss": 0.7407, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1011 }, { "epoch": 0.13791223766693922, "grad_norm": 0.26171875, "learning_rate": 1.991265390372051e-05, "loss": 0.7173, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1012 }, { "epoch": 0.13804851458162987, "grad_norm": 0.30078125, "learning_rate": 1.9912025308994146e-05, "loss": 0.7006, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1013 }, { "epoch": 0.1381847914963205, "grad_norm": 0.34765625, "learning_rate": 1.9911394470491543e-05, "loss": 0.7564, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1014 }, { "epoch": 0.13832106841101116, "grad_norm": 0.46875, "learning_rate": 1.9910761388355505e-05, "loss": 0.7229, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1015 }, { "epoch": 0.13845734532570184, "grad_norm": 0.296875, "learning_rate": 1.9910126062729334e-05, "loss": 0.736, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1016 }, { "epoch": 0.13859362224039248, "grad_norm": 0.5, "learning_rate": 1.9909488493756854e-05, "loss": 0.7882, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1017 }, { "epoch": 0.13872989915508313, "grad_norm": 0.341796875, "learning_rate": 1.990884868158239e-05, "loss": 0.7892, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1018 }, { "epoch": 0.13886617606977378, "grad_norm": 0.30859375, "learning_rate": 1.9908206626350778e-05, "loss": 0.7731, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1019 }, { "epoch": 0.13900245298446443, "grad_norm": 0.3203125, "learning_rate": 1.9907562328207356e-05, "loss": 0.7314, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1020 }, { "epoch": 0.13913872989915507, "grad_norm": 0.306640625, "learning_rate": 1.9906915787297973e-05, "loss": 0.7859, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1021 }, { "epoch": 0.13927500681384575, "grad_norm": 0.2734375, "learning_rate": 1.9906267003768987e-05, "loss": 0.7228, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1022 }, { "epoch": 0.1394112837285364, "grad_norm": 0.412109375, "learning_rate": 1.9905615977767264e-05, "loss": 0.7254, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1023 }, { "epoch": 0.13954756064322704, "grad_norm": 0.31640625, "learning_rate": 1.990496270944018e-05, "loss": 0.7141, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1024 }, { "epoch": 0.1396838375579177, "grad_norm": 0.341796875, "learning_rate": 1.9904307198935606e-05, "loss": 0.8415, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1025 }, { "epoch": 0.13982011447260834, "grad_norm": 0.302734375, "learning_rate": 1.990364944640193e-05, "loss": 0.766, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1026 }, { "epoch": 0.13995639138729898, "grad_norm": 0.2890625, "learning_rate": 1.9902989451988052e-05, "loss": 0.7625, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1027 }, { "epoch": 0.14009266830198963, "grad_norm": 0.412109375, "learning_rate": 1.9902327215843373e-05, "loss": 0.709, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1028 }, { "epoch": 0.1402289452166803, "grad_norm": 0.3359375, "learning_rate": 1.9901662738117804e-05, "loss": 0.8329, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1029 }, { "epoch": 0.14036522213137095, "grad_norm": 0.2177734375, "learning_rate": 1.9900996018961755e-05, "loss": 0.7017, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1030 }, { "epoch": 0.1405014990460616, "grad_norm": 0.42578125, "learning_rate": 1.9900327058526162e-05, "loss": 0.723, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1031 }, { "epoch": 0.14063777596075225, "grad_norm": 0.24609375, "learning_rate": 1.989965585696245e-05, "loss": 0.7149, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1032 }, { "epoch": 0.1407740528754429, "grad_norm": 0.359375, "learning_rate": 1.9898982414422556e-05, "loss": 0.8109, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1033 }, { "epoch": 0.14091032979013354, "grad_norm": 0.56640625, "learning_rate": 1.9898306731058933e-05, "loss": 0.6499, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1034 }, { "epoch": 0.1410466067048242, "grad_norm": 0.275390625, "learning_rate": 1.9897628807024526e-05, "loss": 0.755, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1035 }, { "epoch": 0.14118288361951487, "grad_norm": 0.7421875, "learning_rate": 1.9896948642472807e-05, "loss": 0.9121, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1036 }, { "epoch": 0.1413191605342055, "grad_norm": 0.322265625, "learning_rate": 1.9896266237557737e-05, "loss": 0.7909, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1037 }, { "epoch": 0.14145543744889616, "grad_norm": 0.251953125, "learning_rate": 1.9895581592433798e-05, "loss": 0.7724, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1038 }, { "epoch": 0.1415917143635868, "grad_norm": 0.2275390625, "learning_rate": 1.9894894707255962e-05, "loss": 0.6673, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1039 }, { "epoch": 0.14172799127827745, "grad_norm": 0.322265625, "learning_rate": 1.9894205582179728e-05, "loss": 0.7487, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1040 }, { "epoch": 0.1418642681929681, "grad_norm": 0.28125, "learning_rate": 1.9893514217361085e-05, "loss": 0.7322, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1041 }, { "epoch": 0.14200054510765875, "grad_norm": 0.27734375, "learning_rate": 1.9892820612956543e-05, "loss": 0.7404, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1042 }, { "epoch": 0.14213682202234942, "grad_norm": 0.431640625, "learning_rate": 1.9892124769123112e-05, "loss": 0.7437, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1043 }, { "epoch": 0.14227309893704007, "grad_norm": 0.2431640625, "learning_rate": 1.9891426686018308e-05, "loss": 0.7066, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1044 }, { "epoch": 0.14240937585173072, "grad_norm": 0.423828125, "learning_rate": 1.9890726363800153e-05, "loss": 0.7931, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1045 }, { "epoch": 0.14254565276642137, "grad_norm": 0.263671875, "learning_rate": 1.989002380262718e-05, "loss": 0.7381, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1046 }, { "epoch": 0.142681929681112, "grad_norm": 0.251953125, "learning_rate": 1.9889319002658428e-05, "loss": 0.7133, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1047 }, { "epoch": 0.14281820659580266, "grad_norm": 0.326171875, "learning_rate": 1.988861196405344e-05, "loss": 0.7767, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1048 }, { "epoch": 0.14295448351049334, "grad_norm": 0.423828125, "learning_rate": 1.9887902686972274e-05, "loss": 0.7962, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1049 }, { "epoch": 0.14309076042518398, "grad_norm": 0.328125, "learning_rate": 1.9887191171575482e-05, "loss": 0.7316, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1050 }, { "epoch": 0.14322703733987463, "grad_norm": 0.443359375, "learning_rate": 1.988647741802413e-05, "loss": 0.8213, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1051 }, { "epoch": 0.14336331425456528, "grad_norm": 0.310546875, "learning_rate": 1.988576142647979e-05, "loss": 0.647, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1052 }, { "epoch": 0.14349959116925592, "grad_norm": 0.37109375, "learning_rate": 1.988504319710454e-05, "loss": 0.8423, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1053 }, { "epoch": 0.14363586808394657, "grad_norm": 0.404296875, "learning_rate": 1.988432273006097e-05, "loss": 0.8112, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1054 }, { "epoch": 0.14377214499863722, "grad_norm": 0.3125, "learning_rate": 1.9883600025512165e-05, "loss": 0.7749, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1055 }, { "epoch": 0.1439084219133279, "grad_norm": 0.294921875, "learning_rate": 1.9882875083621726e-05, "loss": 0.7372, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1056 }, { "epoch": 0.14404469882801854, "grad_norm": 0.287109375, "learning_rate": 1.9882147904553758e-05, "loss": 0.7521, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1057 }, { "epoch": 0.1441809757427092, "grad_norm": 0.255859375, "learning_rate": 1.9881418488472867e-05, "loss": 0.7101, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1058 }, { "epoch": 0.14431725265739984, "grad_norm": 0.296875, "learning_rate": 1.9880686835544178e-05, "loss": 0.7995, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1059 }, { "epoch": 0.14445352957209048, "grad_norm": 0.275390625, "learning_rate": 1.9879952945933305e-05, "loss": 0.6971, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1060 }, { "epoch": 0.14458980648678113, "grad_norm": 0.298828125, "learning_rate": 1.987921681980639e-05, "loss": 0.7638, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1061 }, { "epoch": 0.14472608340147178, "grad_norm": 0.236328125, "learning_rate": 1.987847845733006e-05, "loss": 0.661, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1062 }, { "epoch": 0.14486236031616245, "grad_norm": 0.28515625, "learning_rate": 1.9877737858671457e-05, "loss": 0.7511, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1063 }, { "epoch": 0.1449986372308531, "grad_norm": 0.267578125, "learning_rate": 1.9876995023998235e-05, "loss": 0.7172, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1064 }, { "epoch": 0.14513491414554375, "grad_norm": 0.330078125, "learning_rate": 1.987624995347855e-05, "loss": 0.7802, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1065 }, { "epoch": 0.1452711910602344, "grad_norm": 0.3359375, "learning_rate": 1.9875502647281055e-05, "loss": 0.7379, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1066 }, { "epoch": 0.14540746797492504, "grad_norm": 0.3515625, "learning_rate": 1.987475310557492e-05, "loss": 0.7358, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1067 }, { "epoch": 0.1455437448896157, "grad_norm": 0.486328125, "learning_rate": 1.9874001328529825e-05, "loss": 0.8669, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1068 }, { "epoch": 0.14568002180430634, "grad_norm": 0.451171875, "learning_rate": 1.9873247316315943e-05, "loss": 0.7289, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1069 }, { "epoch": 0.145816298718997, "grad_norm": 2.984375, "learning_rate": 1.9872491069103955e-05, "loss": 0.7425, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1070 }, { "epoch": 0.14595257563368766, "grad_norm": 0.279296875, "learning_rate": 1.9871732587065064e-05, "loss": 0.7397, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1071 }, { "epoch": 0.1460888525483783, "grad_norm": 0.40625, "learning_rate": 1.9870971870370955e-05, "loss": 0.8072, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1072 }, { "epoch": 0.14622512946306895, "grad_norm": 0.369140625, "learning_rate": 1.9870208919193836e-05, "loss": 0.7996, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1073 }, { "epoch": 0.1463614063777596, "grad_norm": 0.279296875, "learning_rate": 1.9869443733706414e-05, "loss": 0.708, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1074 }, { "epoch": 0.14649768329245025, "grad_norm": 0.3203125, "learning_rate": 1.9868676314081907e-05, "loss": 0.8052, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1075 }, { "epoch": 0.14663396020714092, "grad_norm": 0.310546875, "learning_rate": 1.986790666049403e-05, "loss": 0.7664, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1076 }, { "epoch": 0.14677023712183157, "grad_norm": 0.3828125, "learning_rate": 1.9867134773117015e-05, "loss": 0.8798, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1077 }, { "epoch": 0.14690651403652222, "grad_norm": 0.318359375, "learning_rate": 1.9866360652125585e-05, "loss": 0.721, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1078 }, { "epoch": 0.14704279095121287, "grad_norm": 0.2578125, "learning_rate": 1.9865584297694986e-05, "loss": 0.7226, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1079 }, { "epoch": 0.1471790678659035, "grad_norm": 0.33203125, "learning_rate": 1.986480571000095e-05, "loss": 0.6831, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1080 }, { "epoch": 0.14731534478059416, "grad_norm": 0.341796875, "learning_rate": 1.986402488921974e-05, "loss": 0.7891, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1081 }, { "epoch": 0.1474516216952848, "grad_norm": 0.306640625, "learning_rate": 1.9863241835528094e-05, "loss": 0.773, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1082 }, { "epoch": 0.14758789860997548, "grad_norm": 0.28515625, "learning_rate": 1.9862456549103282e-05, "loss": 0.8105, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1083 }, { "epoch": 0.14772417552466613, "grad_norm": 0.294921875, "learning_rate": 1.9861669030123065e-05, "loss": 0.7684, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1084 }, { "epoch": 0.14786045243935678, "grad_norm": 0.31640625, "learning_rate": 1.9860879278765713e-05, "loss": 0.7955, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1085 }, { "epoch": 0.14799672935404742, "grad_norm": 0.265625, "learning_rate": 1.986008729521e-05, "loss": 0.7316, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1086 }, { "epoch": 0.14813300626873807, "grad_norm": 0.3125, "learning_rate": 1.985929307963521e-05, "loss": 0.7831, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1087 }, { "epoch": 0.14826928318342872, "grad_norm": 0.26953125, "learning_rate": 1.9858496632221125e-05, "loss": 0.6766, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1088 }, { "epoch": 0.14840556009811937, "grad_norm": 0.26171875, "learning_rate": 1.985769795314804e-05, "loss": 0.7574, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1089 }, { "epoch": 0.14854183701281004, "grad_norm": 0.30859375, "learning_rate": 1.9856897042596746e-05, "loss": 0.7252, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1090 }, { "epoch": 0.1486781139275007, "grad_norm": 0.322265625, "learning_rate": 1.985609390074855e-05, "loss": 0.7851, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1091 }, { "epoch": 0.14881439084219134, "grad_norm": 0.28125, "learning_rate": 1.9855288527785257e-05, "loss": 0.7377, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1092 }, { "epoch": 0.14895066775688198, "grad_norm": 0.337890625, "learning_rate": 1.9854480923889176e-05, "loss": 0.7211, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1093 }, { "epoch": 0.14908694467157263, "grad_norm": 0.310546875, "learning_rate": 1.9853671089243124e-05, "loss": 0.7076, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1094 }, { "epoch": 0.14922322158626328, "grad_norm": 0.35546875, "learning_rate": 1.9852859024030425e-05, "loss": 0.758, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1095 }, { "epoch": 0.14935949850095395, "grad_norm": 0.306640625, "learning_rate": 1.9852044728434903e-05, "loss": 0.7882, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1096 }, { "epoch": 0.1494957754156446, "grad_norm": 0.380859375, "learning_rate": 1.9851228202640893e-05, "loss": 0.6986, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1097 }, { "epoch": 0.14963205233033525, "grad_norm": 0.330078125, "learning_rate": 1.9850409446833224e-05, "loss": 0.7043, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1098 }, { "epoch": 0.1497683292450259, "grad_norm": 0.275390625, "learning_rate": 1.9849588461197247e-05, "loss": 0.6827, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1099 }, { "epoch": 0.14990460615971654, "grad_norm": 0.279296875, "learning_rate": 1.98487652459188e-05, "loss": 0.6875, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1100 }, { "epoch": 0.1500408830744072, "grad_norm": 0.3671875, "learning_rate": 1.9847939801184236e-05, "loss": 0.7596, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1101 }, { "epoch": 0.15017715998909784, "grad_norm": 0.244140625, "learning_rate": 1.984711212718041e-05, "loss": 0.6741, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1102 }, { "epoch": 0.1503134369037885, "grad_norm": 0.283203125, "learning_rate": 1.9846282224094686e-05, "loss": 0.7348, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1103 }, { "epoch": 0.15044971381847916, "grad_norm": 0.3203125, "learning_rate": 1.984545009211492e-05, "loss": 0.809, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1104 }, { "epoch": 0.1505859907331698, "grad_norm": 0.349609375, "learning_rate": 1.9844615731429485e-05, "loss": 0.7207, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1105 }, { "epoch": 0.15072226764786045, "grad_norm": 0.30859375, "learning_rate": 1.9843779142227258e-05, "loss": 0.7044, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1106 }, { "epoch": 0.1508585445625511, "grad_norm": 0.271484375, "learning_rate": 1.984294032469761e-05, "loss": 0.6853, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1107 }, { "epoch": 0.15099482147724175, "grad_norm": 0.275390625, "learning_rate": 1.9842099279030432e-05, "loss": 0.7879, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1108 }, { "epoch": 0.1511310983919324, "grad_norm": 0.34375, "learning_rate": 1.9841256005416104e-05, "loss": 0.6983, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1109 }, { "epoch": 0.15126737530662307, "grad_norm": 0.26953125, "learning_rate": 1.9840410504045517e-05, "loss": 0.8036, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1110 }, { "epoch": 0.15140365222131372, "grad_norm": 0.330078125, "learning_rate": 1.983956277511007e-05, "loss": 0.7757, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1111 }, { "epoch": 0.15153992913600436, "grad_norm": 0.37109375, "learning_rate": 1.983871281880166e-05, "loss": 0.8848, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1112 }, { "epoch": 0.151676206050695, "grad_norm": 0.310546875, "learning_rate": 1.9837860635312694e-05, "loss": 0.7702, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1113 }, { "epoch": 0.15181248296538566, "grad_norm": 0.27734375, "learning_rate": 1.9837006224836076e-05, "loss": 0.7063, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1114 }, { "epoch": 0.1519487598800763, "grad_norm": 0.3046875, "learning_rate": 1.9836149587565223e-05, "loss": 0.7653, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1115 }, { "epoch": 0.15208503679476695, "grad_norm": 0.310546875, "learning_rate": 1.9835290723694043e-05, "loss": 0.8202, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1116 }, { "epoch": 0.15222131370945763, "grad_norm": 0.333984375, "learning_rate": 1.9834429633416964e-05, "loss": 0.7618, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1117 }, { "epoch": 0.15235759062414828, "grad_norm": 0.23828125, "learning_rate": 1.983356631692891e-05, "loss": 0.6831, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1118 }, { "epoch": 0.15249386753883892, "grad_norm": 0.259765625, "learning_rate": 1.9832700774425304e-05, "loss": 0.7009, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1119 }, { "epoch": 0.15263014445352957, "grad_norm": 0.388671875, "learning_rate": 1.9831833006102082e-05, "loss": 0.7381, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1120 }, { "epoch": 0.15276642136822022, "grad_norm": 0.341796875, "learning_rate": 1.983096301215568e-05, "loss": 0.7137, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1121 }, { "epoch": 0.15290269828291086, "grad_norm": 0.287109375, "learning_rate": 1.9830090792783036e-05, "loss": 0.8041, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1122 }, { "epoch": 0.15303897519760154, "grad_norm": 0.298828125, "learning_rate": 1.9829216348181594e-05, "loss": 0.7446, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1123 }, { "epoch": 0.1531752521122922, "grad_norm": 0.28125, "learning_rate": 1.98283396785493e-05, "loss": 0.7349, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1124 }, { "epoch": 0.15331152902698283, "grad_norm": 0.49609375, "learning_rate": 1.982746078408461e-05, "loss": 0.7028, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1125 }, { "epoch": 0.15344780594167348, "grad_norm": 0.50390625, "learning_rate": 1.982657966498647e-05, "loss": 0.9373, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1126 }, { "epoch": 0.15358408285636413, "grad_norm": 0.333984375, "learning_rate": 1.9825696321454348e-05, "loss": 0.7004, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1127 }, { "epoch": 0.15372035977105478, "grad_norm": 0.287109375, "learning_rate": 1.9824810753688196e-05, "loss": 0.7121, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1128 }, { "epoch": 0.15385663668574542, "grad_norm": 0.279296875, "learning_rate": 1.9823922961888486e-05, "loss": 0.7363, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1129 }, { "epoch": 0.1539929136004361, "grad_norm": 0.29296875, "learning_rate": 1.9823032946256183e-05, "loss": 0.6896, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1130 }, { "epoch": 0.15412919051512675, "grad_norm": 0.419921875, "learning_rate": 1.9822140706992764e-05, "loss": 0.7865, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1131 }, { "epoch": 0.1542654674298174, "grad_norm": 0.45703125, "learning_rate": 1.9821246244300197e-05, "loss": 0.8169, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1132 }, { "epoch": 0.15440174434450804, "grad_norm": 0.3984375, "learning_rate": 1.9820349558380966e-05, "loss": 0.7521, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1133 }, { "epoch": 0.1545380212591987, "grad_norm": 1.3828125, "learning_rate": 1.9819450649438052e-05, "loss": 0.7695, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1134 }, { "epoch": 0.15467429817388934, "grad_norm": 0.32421875, "learning_rate": 1.981854951767494e-05, "loss": 0.7333, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1135 }, { "epoch": 0.15481057508857998, "grad_norm": 0.40625, "learning_rate": 1.981764616329562e-05, "loss": 0.7789, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1136 }, { "epoch": 0.15494685200327066, "grad_norm": 0.361328125, "learning_rate": 1.981674058650458e-05, "loss": 0.718, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1137 }, { "epoch": 0.1550831289179613, "grad_norm": 0.3125, "learning_rate": 1.9815832787506814e-05, "loss": 0.7204, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1138 }, { "epoch": 0.15521940583265195, "grad_norm": 0.32421875, "learning_rate": 1.9814922766507825e-05, "loss": 0.7026, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1139 }, { "epoch": 0.1553556827473426, "grad_norm": 0.28125, "learning_rate": 1.9814010523713608e-05, "loss": 0.7218, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1140 }, { "epoch": 0.15549195966203325, "grad_norm": 0.447265625, "learning_rate": 1.981309605933067e-05, "loss": 0.8195, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1141 }, { "epoch": 0.1556282365767239, "grad_norm": 0.271484375, "learning_rate": 1.9812179373566018e-05, "loss": 0.7675, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1142 }, { "epoch": 0.15576451349141454, "grad_norm": 0.333984375, "learning_rate": 1.9811260466627163e-05, "loss": 0.7434, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1143 }, { "epoch": 0.15590079040610522, "grad_norm": 0.37109375, "learning_rate": 1.981033933872211e-05, "loss": 0.7014, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1144 }, { "epoch": 0.15603706732079586, "grad_norm": 0.5234375, "learning_rate": 1.9809415990059378e-05, "loss": 0.8195, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1145 }, { "epoch": 0.1561733442354865, "grad_norm": 0.322265625, "learning_rate": 1.9808490420847986e-05, "loss": 0.6646, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1146 }, { "epoch": 0.15630962115017716, "grad_norm": 0.296875, "learning_rate": 1.9807562631297453e-05, "loss": 0.7315, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1147 }, { "epoch": 0.1564458980648678, "grad_norm": 0.58203125, "learning_rate": 1.9806632621617797e-05, "loss": 0.8142, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1148 }, { "epoch": 0.15658217497955845, "grad_norm": 0.30078125, "learning_rate": 1.9805700392019553e-05, "loss": 0.7614, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1149 }, { "epoch": 0.15671845189424913, "grad_norm": 0.333984375, "learning_rate": 1.9804765942713743e-05, "loss": 0.7686, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1150 }, { "epoch": 0.15685472880893978, "grad_norm": 0.251953125, "learning_rate": 1.98038292739119e-05, "loss": 0.7072, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1151 }, { "epoch": 0.15699100572363042, "grad_norm": 0.306640625, "learning_rate": 1.9802890385826058e-05, "loss": 0.7478, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1152 }, { "epoch": 0.15712728263832107, "grad_norm": 0.291015625, "learning_rate": 1.9801949278668746e-05, "loss": 0.7274, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1153 }, { "epoch": 0.15726355955301172, "grad_norm": 0.357421875, "learning_rate": 1.9801005952653005e-05, "loss": 0.7895, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1154 }, { "epoch": 0.15739983646770236, "grad_norm": 0.341796875, "learning_rate": 1.9800060407992373e-05, "loss": 0.7856, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1155 }, { "epoch": 0.157536113382393, "grad_norm": 0.3359375, "learning_rate": 1.97991126449009e-05, "loss": 0.7493, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1156 }, { "epoch": 0.1576723902970837, "grad_norm": 0.2431640625, "learning_rate": 1.979816266359312e-05, "loss": 0.6656, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1157 }, { "epoch": 0.15780866721177433, "grad_norm": 0.46875, "learning_rate": 1.9797210464284086e-05, "loss": 0.7872, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1158 }, { "epoch": 0.15794494412646498, "grad_norm": 0.3359375, "learning_rate": 1.9796256047189346e-05, "loss": 0.7914, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1159 }, { "epoch": 0.15808122104115563, "grad_norm": 0.37890625, "learning_rate": 1.9795299412524948e-05, "loss": 0.7515, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1160 }, { "epoch": 0.15821749795584628, "grad_norm": 0.32421875, "learning_rate": 1.9794340560507445e-05, "loss": 0.6676, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1161 }, { "epoch": 0.15835377487053692, "grad_norm": 0.322265625, "learning_rate": 1.979337949135389e-05, "loss": 0.8038, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1162 }, { "epoch": 0.15849005178522757, "grad_norm": 0.296875, "learning_rate": 1.9792416205281844e-05, "loss": 0.7497, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1163 }, { "epoch": 0.15862632869991825, "grad_norm": 0.29296875, "learning_rate": 1.9791450702509362e-05, "loss": 0.7745, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1164 }, { "epoch": 0.1587626056146089, "grad_norm": 0.2333984375, "learning_rate": 1.9790482983255005e-05, "loss": 0.7143, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1165 }, { "epoch": 0.15889888252929954, "grad_norm": 0.42578125, "learning_rate": 1.9789513047737835e-05, "loss": 0.874, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1166 }, { "epoch": 0.1590351594439902, "grad_norm": 0.322265625, "learning_rate": 1.978854089617741e-05, "loss": 0.7225, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1167 }, { "epoch": 0.15917143635868083, "grad_norm": 0.26171875, "learning_rate": 1.9787566528793806e-05, "loss": 0.7629, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1168 }, { "epoch": 0.15930771327337148, "grad_norm": 0.3828125, "learning_rate": 1.978658994580758e-05, "loss": 0.8008, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1169 }, { "epoch": 0.15944399018806213, "grad_norm": 0.291015625, "learning_rate": 1.9785611147439806e-05, "loss": 0.7638, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1170 }, { "epoch": 0.1595802671027528, "grad_norm": 0.37109375, "learning_rate": 1.978463013391205e-05, "loss": 0.7352, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1171 }, { "epoch": 0.15971654401744345, "grad_norm": 0.2734375, "learning_rate": 1.9783646905446386e-05, "loss": 0.7211, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1172 }, { "epoch": 0.1598528209321341, "grad_norm": 0.2890625, "learning_rate": 1.978266146226538e-05, "loss": 0.772, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1173 }, { "epoch": 0.15998909784682475, "grad_norm": 0.271484375, "learning_rate": 1.9781673804592118e-05, "loss": 0.7234, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1174 }, { "epoch": 0.1601253747615154, "grad_norm": 0.388671875, "learning_rate": 1.9780683932650165e-05, "loss": 0.7521, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1175 }, { "epoch": 0.16026165167620604, "grad_norm": 0.341796875, "learning_rate": 1.97796918466636e-05, "loss": 0.7123, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1176 }, { "epoch": 0.16039792859089672, "grad_norm": 0.353515625, "learning_rate": 1.9778697546857e-05, "loss": 0.7788, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1177 }, { "epoch": 0.16053420550558736, "grad_norm": 0.3671875, "learning_rate": 1.9777701033455448e-05, "loss": 0.7212, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1178 }, { "epoch": 0.160670482420278, "grad_norm": 0.435546875, "learning_rate": 1.977670230668452e-05, "loss": 0.8324, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1179 }, { "epoch": 0.16080675933496866, "grad_norm": 0.37890625, "learning_rate": 1.9775701366770295e-05, "loss": 0.6979, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1180 }, { "epoch": 0.1609430362496593, "grad_norm": 0.244140625, "learning_rate": 1.977469821393936e-05, "loss": 0.7293, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1181 }, { "epoch": 0.16107931316434995, "grad_norm": 0.361328125, "learning_rate": 1.9773692848418796e-05, "loss": 0.7108, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1182 }, { "epoch": 0.1612155900790406, "grad_norm": 0.357421875, "learning_rate": 1.9772685270436184e-05, "loss": 0.7093, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1183 }, { "epoch": 0.16135186699373127, "grad_norm": 0.291015625, "learning_rate": 1.977167548021961e-05, "loss": 0.7203, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1184 }, { "epoch": 0.16148814390842192, "grad_norm": 0.267578125, "learning_rate": 1.9770663477997662e-05, "loss": 0.7263, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1185 }, { "epoch": 0.16162442082311257, "grad_norm": 0.3203125, "learning_rate": 1.9769649263999423e-05, "loss": 0.703, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1186 }, { "epoch": 0.16176069773780322, "grad_norm": 0.333984375, "learning_rate": 1.9768632838454482e-05, "loss": 0.7713, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1187 }, { "epoch": 0.16189697465249386, "grad_norm": 0.326171875, "learning_rate": 1.9767614201592925e-05, "loss": 0.726, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1188 }, { "epoch": 0.1620332515671845, "grad_norm": 0.31640625, "learning_rate": 1.9766593353645338e-05, "loss": 0.7603, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1189 }, { "epoch": 0.16216952848187516, "grad_norm": 0.310546875, "learning_rate": 1.976557029484281e-05, "loss": 0.7437, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1190 }, { "epoch": 0.16230580539656583, "grad_norm": 0.3046875, "learning_rate": 1.9764545025416935e-05, "loss": 0.7378, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1191 }, { "epoch": 0.16244208231125648, "grad_norm": 0.322265625, "learning_rate": 1.9763517545599798e-05, "loss": 0.7856, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1192 }, { "epoch": 0.16257835922594713, "grad_norm": 0.345703125, "learning_rate": 1.9762487855623986e-05, "loss": 0.7449, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1193 }, { "epoch": 0.16271463614063778, "grad_norm": 0.298828125, "learning_rate": 1.9761455955722596e-05, "loss": 0.7351, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1194 }, { "epoch": 0.16285091305532842, "grad_norm": 0.6484375, "learning_rate": 1.976042184612921e-05, "loss": 0.9085, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1195 }, { "epoch": 0.16298718997001907, "grad_norm": 0.251953125, "learning_rate": 1.9759385527077922e-05, "loss": 0.6917, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1196 }, { "epoch": 0.16312346688470972, "grad_norm": 0.263671875, "learning_rate": 1.9758346998803328e-05, "loss": 0.7184, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1197 }, { "epoch": 0.1632597437994004, "grad_norm": 0.28515625, "learning_rate": 1.9757306261540516e-05, "loss": 0.7616, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1198 }, { "epoch": 0.16339602071409104, "grad_norm": 0.333984375, "learning_rate": 1.975626331552507e-05, "loss": 0.7684, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1199 }, { "epoch": 0.1635322976287817, "grad_norm": 0.380859375, "learning_rate": 1.975521816099309e-05, "loss": 0.7017, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1200 }, { "epoch": 0.16366857454347233, "grad_norm": 0.357421875, "learning_rate": 1.9754170798181155e-05, "loss": 0.7095, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1201 }, { "epoch": 0.16380485145816298, "grad_norm": 0.4375, "learning_rate": 1.9753121227326367e-05, "loss": 0.7702, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1202 }, { "epoch": 0.16394112837285363, "grad_norm": 0.333984375, "learning_rate": 1.9752069448666317e-05, "loss": 0.8277, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1203 }, { "epoch": 0.1640774052875443, "grad_norm": 0.333984375, "learning_rate": 1.9751015462439086e-05, "loss": 0.7085, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1204 }, { "epoch": 0.16421368220223495, "grad_norm": 0.296875, "learning_rate": 1.9749959268883267e-05, "loss": 0.7746, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1205 }, { "epoch": 0.1643499591169256, "grad_norm": 0.26171875, "learning_rate": 1.9748900868237953e-05, "loss": 0.7099, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1206 }, { "epoch": 0.16448623603161625, "grad_norm": 0.32421875, "learning_rate": 1.9747840260742732e-05, "loss": 0.7378, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1207 }, { "epoch": 0.1646225129463069, "grad_norm": 0.298828125, "learning_rate": 1.9746777446637694e-05, "loss": 0.7155, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1208 }, { "epoch": 0.16475878986099754, "grad_norm": 0.3984375, "learning_rate": 1.974571242616342e-05, "loss": 0.7783, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1209 }, { "epoch": 0.1648950667756882, "grad_norm": 0.298828125, "learning_rate": 1.9744645199561007e-05, "loss": 0.7531, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1210 }, { "epoch": 0.16503134369037886, "grad_norm": 0.29296875, "learning_rate": 1.9743575767072034e-05, "loss": 0.7911, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1211 }, { "epoch": 0.1651676206050695, "grad_norm": 0.251953125, "learning_rate": 1.9742504128938595e-05, "loss": 0.6438, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1212 }, { "epoch": 0.16530389751976016, "grad_norm": 0.298828125, "learning_rate": 1.974143028540327e-05, "loss": 0.739, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1213 }, { "epoch": 0.1654401744344508, "grad_norm": 0.28515625, "learning_rate": 1.974035423670915e-05, "loss": 0.7716, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1214 }, { "epoch": 0.16557645134914145, "grad_norm": 0.26171875, "learning_rate": 1.9739275983099816e-05, "loss": 0.7107, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1215 }, { "epoch": 0.1657127282638321, "grad_norm": 0.345703125, "learning_rate": 1.9738195524819347e-05, "loss": 0.7629, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1216 }, { "epoch": 0.16584900517852275, "grad_norm": 0.283203125, "learning_rate": 1.973711286211233e-05, "loss": 0.7039, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1217 }, { "epoch": 0.16598528209321342, "grad_norm": 0.26171875, "learning_rate": 1.9736027995223844e-05, "loss": 0.722, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1218 }, { "epoch": 0.16612155900790407, "grad_norm": 0.3125, "learning_rate": 1.9734940924399476e-05, "loss": 0.7396, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1219 }, { "epoch": 0.16625783592259472, "grad_norm": 0.26171875, "learning_rate": 1.9733851649885297e-05, "loss": 0.7726, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1220 }, { "epoch": 0.16639411283728536, "grad_norm": 0.271484375, "learning_rate": 1.9732760171927887e-05, "loss": 0.73, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1221 }, { "epoch": 0.166530389751976, "grad_norm": 0.328125, "learning_rate": 1.9731666490774325e-05, "loss": 0.7201, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1222 }, { "epoch": 0.16666666666666666, "grad_norm": 0.314453125, "learning_rate": 1.973057060667219e-05, "loss": 0.7677, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1223 }, { "epoch": 0.1668029435813573, "grad_norm": 0.263671875, "learning_rate": 1.9729472519869546e-05, "loss": 0.7799, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1224 }, { "epoch": 0.16693922049604798, "grad_norm": 0.373046875, "learning_rate": 1.972837223061497e-05, "loss": 0.7505, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1225 }, { "epoch": 0.16707549741073863, "grad_norm": 0.2890625, "learning_rate": 1.9727269739157543e-05, "loss": 0.7314, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1226 }, { "epoch": 0.16721177432542927, "grad_norm": 0.59375, "learning_rate": 1.9726165045746825e-05, "loss": 0.7591, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1227 }, { "epoch": 0.16734805124011992, "grad_norm": 0.48828125, "learning_rate": 1.9725058150632884e-05, "loss": 0.8802, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1228 }, { "epoch": 0.16748432815481057, "grad_norm": 0.37890625, "learning_rate": 1.9723949054066293e-05, "loss": 0.6927, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1229 }, { "epoch": 0.16762060506950122, "grad_norm": 0.8046875, "learning_rate": 1.9722837756298112e-05, "loss": 0.6715, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1230 }, { "epoch": 0.1677568819841919, "grad_norm": 0.28125, "learning_rate": 1.9721724257579907e-05, "loss": 0.6659, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1231 }, { "epoch": 0.16789315889888254, "grad_norm": 0.322265625, "learning_rate": 1.972060855816374e-05, "loss": 0.7393, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1232 }, { "epoch": 0.16802943581357319, "grad_norm": 0.369140625, "learning_rate": 1.971949065830217e-05, "loss": 0.7183, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1233 }, { "epoch": 0.16816571272826383, "grad_norm": 0.3671875, "learning_rate": 1.9718370558248254e-05, "loss": 0.8121, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1234 }, { "epoch": 0.16830198964295448, "grad_norm": 0.326171875, "learning_rate": 1.9717248258255548e-05, "loss": 0.8328, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1235 }, { "epoch": 0.16843826655764513, "grad_norm": 0.287109375, "learning_rate": 1.971612375857811e-05, "loss": 0.7028, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1236 }, { "epoch": 0.16857454347233577, "grad_norm": 0.291015625, "learning_rate": 1.9714997059470487e-05, "loss": 0.7658, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1237 }, { "epoch": 0.16871082038702645, "grad_norm": 0.330078125, "learning_rate": 1.971386816118773e-05, "loss": 0.7516, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1238 }, { "epoch": 0.1688470973017171, "grad_norm": 0.291015625, "learning_rate": 1.971273706398539e-05, "loss": 0.6612, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1239 }, { "epoch": 0.16898337421640774, "grad_norm": 0.384765625, "learning_rate": 1.971160376811951e-05, "loss": 0.8468, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1240 }, { "epoch": 0.1691196511310984, "grad_norm": 0.353515625, "learning_rate": 1.971046827384663e-05, "loss": 0.8455, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1241 }, { "epoch": 0.16925592804578904, "grad_norm": 0.423828125, "learning_rate": 1.9709330581423795e-05, "loss": 0.7733, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1242 }, { "epoch": 0.1693922049604797, "grad_norm": 0.87890625, "learning_rate": 1.9708190691108545e-05, "loss": 0.7576, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1243 }, { "epoch": 0.16952848187517033, "grad_norm": 0.279296875, "learning_rate": 1.970704860315891e-05, "loss": 0.6552, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1244 }, { "epoch": 0.169664758789861, "grad_norm": 0.2890625, "learning_rate": 1.970590431783343e-05, "loss": 0.6742, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1245 }, { "epoch": 0.16980103570455166, "grad_norm": 0.404296875, "learning_rate": 1.9704757835391134e-05, "loss": 0.7965, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1246 }, { "epoch": 0.1699373126192423, "grad_norm": 0.357421875, "learning_rate": 1.9703609156091543e-05, "loss": 0.7374, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1247 }, { "epoch": 0.17007358953393295, "grad_norm": 0.37109375, "learning_rate": 1.9702458280194692e-05, "loss": 0.752, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1248 }, { "epoch": 0.1702098664486236, "grad_norm": 0.275390625, "learning_rate": 1.97013052079611e-05, "loss": 0.7193, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1249 }, { "epoch": 0.17034614336331425, "grad_norm": 0.345703125, "learning_rate": 1.9700149939651787e-05, "loss": 0.6807, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1250 }, { "epoch": 0.1704824202780049, "grad_norm": 0.412109375, "learning_rate": 1.9698992475528268e-05, "loss": 0.7655, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1251 }, { "epoch": 0.17061869719269557, "grad_norm": 0.31640625, "learning_rate": 1.9697832815852564e-05, "loss": 0.8, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1252 }, { "epoch": 0.17075497410738621, "grad_norm": 0.349609375, "learning_rate": 1.9696670960887174e-05, "loss": 0.7269, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1253 }, { "epoch": 0.17089125102207686, "grad_norm": 0.298828125, "learning_rate": 1.969550691089512e-05, "loss": 0.7633, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1254 }, { "epoch": 0.1710275279367675, "grad_norm": 0.33984375, "learning_rate": 1.9694340666139898e-05, "loss": 0.7327, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1255 }, { "epoch": 0.17116380485145816, "grad_norm": 0.333984375, "learning_rate": 1.969317222688551e-05, "loss": 0.7049, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1256 }, { "epoch": 0.1713000817661488, "grad_norm": 0.66796875, "learning_rate": 1.969200159339646e-05, "loss": 0.8705, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1257 }, { "epoch": 0.17143635868083948, "grad_norm": 0.30859375, "learning_rate": 1.9690828765937736e-05, "loss": 0.7624, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1258 }, { "epoch": 0.17157263559553013, "grad_norm": 0.302734375, "learning_rate": 1.9689653744774837e-05, "loss": 0.6898, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1259 }, { "epoch": 0.17170891251022077, "grad_norm": 0.341796875, "learning_rate": 1.9688476530173745e-05, "loss": 0.7316, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1260 }, { "epoch": 0.17184518942491142, "grad_norm": 0.330078125, "learning_rate": 1.9687297122400952e-05, "loss": 0.7616, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1261 }, { "epoch": 0.17198146633960207, "grad_norm": 0.28515625, "learning_rate": 1.968611552172343e-05, "loss": 0.7325, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1262 }, { "epoch": 0.17211774325429272, "grad_norm": 0.3359375, "learning_rate": 1.968493172840867e-05, "loss": 0.7733, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1263 }, { "epoch": 0.17225402016898336, "grad_norm": 0.265625, "learning_rate": 1.9683745742724634e-05, "loss": 0.6396, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1264 }, { "epoch": 0.17239029708367404, "grad_norm": 0.275390625, "learning_rate": 1.96825575649398e-05, "loss": 0.7688, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1265 }, { "epoch": 0.17252657399836469, "grad_norm": 0.6015625, "learning_rate": 1.968136719532313e-05, "loss": 0.7153, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1266 }, { "epoch": 0.17266285091305533, "grad_norm": 0.310546875, "learning_rate": 1.9680174634144088e-05, "loss": 0.7324, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1267 }, { "epoch": 0.17279912782774598, "grad_norm": 0.33203125, "learning_rate": 1.9678979881672636e-05, "loss": 0.7326, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1268 }, { "epoch": 0.17293540474243663, "grad_norm": 0.3125, "learning_rate": 1.9677782938179226e-05, "loss": 0.7379, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1269 }, { "epoch": 0.17307168165712727, "grad_norm": 0.296875, "learning_rate": 1.967658380393481e-05, "loss": 0.8051, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1270 }, { "epoch": 0.17320795857181792, "grad_norm": 0.330078125, "learning_rate": 1.9675382479210837e-05, "loss": 0.7216, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1271 }, { "epoch": 0.1733442354865086, "grad_norm": 0.328125, "learning_rate": 1.9674178964279246e-05, "loss": 0.7309, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1272 }, { "epoch": 0.17348051240119924, "grad_norm": 0.322265625, "learning_rate": 1.967297325941248e-05, "loss": 0.7568, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1273 }, { "epoch": 0.1736167893158899, "grad_norm": 0.287109375, "learning_rate": 1.9671765364883465e-05, "loss": 0.7085, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1274 }, { "epoch": 0.17375306623058054, "grad_norm": 0.33984375, "learning_rate": 1.967055528096564e-05, "loss": 0.7234, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1275 }, { "epoch": 0.17388934314527119, "grad_norm": 0.388671875, "learning_rate": 1.9669343007932927e-05, "loss": 0.7373, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1276 }, { "epoch": 0.17402562005996183, "grad_norm": 0.35546875, "learning_rate": 1.9668128546059748e-05, "loss": 0.7463, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1277 }, { "epoch": 0.17416189697465248, "grad_norm": 0.37890625, "learning_rate": 1.9666911895621017e-05, "loss": 0.7598, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1278 }, { "epoch": 0.17429817388934316, "grad_norm": 0.388671875, "learning_rate": 1.966569305689215e-05, "loss": 0.8197, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1279 }, { "epoch": 0.1744344508040338, "grad_norm": 0.52734375, "learning_rate": 1.9664472030149055e-05, "loss": 0.7432, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1280 }, { "epoch": 0.17457072771872445, "grad_norm": 0.5, "learning_rate": 1.9663248815668127e-05, "loss": 0.8639, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1281 }, { "epoch": 0.1747070046334151, "grad_norm": 0.37109375, "learning_rate": 1.9662023413726272e-05, "loss": 0.7679, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1282 }, { "epoch": 0.17484328154810574, "grad_norm": 0.294921875, "learning_rate": 1.9660795824600882e-05, "loss": 0.6814, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1283 }, { "epoch": 0.1749795584627964, "grad_norm": 0.37890625, "learning_rate": 1.965956604856984e-05, "loss": 0.8295, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1284 }, { "epoch": 0.17511583537748707, "grad_norm": 0.306640625, "learning_rate": 1.9658334085911534e-05, "loss": 0.7062, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1285 }, { "epoch": 0.17525211229217771, "grad_norm": 0.279296875, "learning_rate": 1.9657099936904843e-05, "loss": 0.7424, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1286 }, { "epoch": 0.17538838920686836, "grad_norm": 0.31640625, "learning_rate": 1.9655863601829135e-05, "loss": 0.7097, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1287 }, { "epoch": 0.175524666121559, "grad_norm": 0.326171875, "learning_rate": 1.9654625080964286e-05, "loss": 0.7476, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1288 }, { "epoch": 0.17566094303624966, "grad_norm": 0.361328125, "learning_rate": 1.965338437459065e-05, "loss": 0.7617, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1289 }, { "epoch": 0.1757972199509403, "grad_norm": 0.31640625, "learning_rate": 1.965214148298909e-05, "loss": 0.7279, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1290 }, { "epoch": 0.17593349686563095, "grad_norm": 0.263671875, "learning_rate": 1.965089640644096e-05, "loss": 0.6701, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1291 }, { "epoch": 0.17606977378032163, "grad_norm": 0.3359375, "learning_rate": 1.96496491452281e-05, "loss": 0.7987, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1292 }, { "epoch": 0.17620605069501227, "grad_norm": 0.453125, "learning_rate": 1.9648399699632857e-05, "loss": 0.7311, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1293 }, { "epoch": 0.17634232760970292, "grad_norm": 0.361328125, "learning_rate": 1.9647148069938065e-05, "loss": 0.7818, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1294 }, { "epoch": 0.17647860452439357, "grad_norm": 0.322265625, "learning_rate": 1.9645894256427056e-05, "loss": 0.7823, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1295 }, { "epoch": 0.17661488143908421, "grad_norm": 0.353515625, "learning_rate": 1.9644638259383652e-05, "loss": 0.7702, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1296 }, { "epoch": 0.17675115835377486, "grad_norm": 0.2578125, "learning_rate": 1.9643380079092173e-05, "loss": 0.7409, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1297 }, { "epoch": 0.1768874352684655, "grad_norm": 0.326171875, "learning_rate": 1.9642119715837432e-05, "loss": 0.7729, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1298 }, { "epoch": 0.17702371218315618, "grad_norm": 0.3359375, "learning_rate": 1.9640857169904736e-05, "loss": 0.7196, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1299 }, { "epoch": 0.17715998909784683, "grad_norm": 0.384765625, "learning_rate": 1.963959244157989e-05, "loss": 0.7889, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1300 }, { "epoch": 0.17729626601253748, "grad_norm": 0.3671875, "learning_rate": 1.9638325531149184e-05, "loss": 0.7477, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1301 }, { "epoch": 0.17743254292722813, "grad_norm": 0.275390625, "learning_rate": 1.963705643889941e-05, "loss": 0.7671, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1302 }, { "epoch": 0.17756881984191877, "grad_norm": 0.62890625, "learning_rate": 1.963578516511785e-05, "loss": 0.7828, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1303 }, { "epoch": 0.17770509675660942, "grad_norm": 0.244140625, "learning_rate": 1.9634511710092284e-05, "loss": 0.6881, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1304 }, { "epoch": 0.17784137367130007, "grad_norm": 0.322265625, "learning_rate": 1.963323607411098e-05, "loss": 0.6814, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1305 }, { "epoch": 0.17797765058599074, "grad_norm": 0.298828125, "learning_rate": 1.9631958257462704e-05, "loss": 0.782, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1306 }, { "epoch": 0.1781139275006814, "grad_norm": 0.470703125, "learning_rate": 1.963067826043671e-05, "loss": 0.8441, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1307 }, { "epoch": 0.17825020441537204, "grad_norm": 0.375, "learning_rate": 1.9629396083322758e-05, "loss": 0.7124, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1308 }, { "epoch": 0.17838648133006269, "grad_norm": 0.34765625, "learning_rate": 1.9628111726411088e-05, "loss": 0.7186, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1309 }, { "epoch": 0.17852275824475333, "grad_norm": 0.29296875, "learning_rate": 1.962682518999244e-05, "loss": 0.7842, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1310 }, { "epoch": 0.17865903515944398, "grad_norm": 0.3203125, "learning_rate": 1.9625536474358043e-05, "loss": 0.7035, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1311 }, { "epoch": 0.17879531207413465, "grad_norm": 0.294921875, "learning_rate": 1.9624245579799627e-05, "loss": 0.6641, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1312 }, { "epoch": 0.1789315889888253, "grad_norm": 0.2890625, "learning_rate": 1.9622952506609407e-05, "loss": 0.7654, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1313 }, { "epoch": 0.17906786590351595, "grad_norm": 0.4375, "learning_rate": 1.9621657255080097e-05, "loss": 1.0029, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1314 }, { "epoch": 0.1792041428182066, "grad_norm": 0.396484375, "learning_rate": 1.96203598255049e-05, "loss": 0.7086, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1315 }, { "epoch": 0.17934041973289724, "grad_norm": 0.359375, "learning_rate": 1.961906021817752e-05, "loss": 0.7756, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1316 }, { "epoch": 0.1794766966475879, "grad_norm": 0.458984375, "learning_rate": 1.961775843339214e-05, "loss": 0.7101, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1317 }, { "epoch": 0.17961297356227854, "grad_norm": 0.345703125, "learning_rate": 1.9616454471443446e-05, "loss": 0.7489, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1318 }, { "epoch": 0.1797492504769692, "grad_norm": 0.2578125, "learning_rate": 1.961514833262662e-05, "loss": 0.6701, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1319 }, { "epoch": 0.17988552739165986, "grad_norm": 0.3828125, "learning_rate": 1.961384001723732e-05, "loss": 0.8197, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1320 }, { "epoch": 0.1800218043063505, "grad_norm": 0.35546875, "learning_rate": 1.961252952557172e-05, "loss": 0.7345, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1321 }, { "epoch": 0.18015808122104116, "grad_norm": 0.365234375, "learning_rate": 1.9611216857926472e-05, "loss": 0.7856, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1322 }, { "epoch": 0.1802943581357318, "grad_norm": 0.33203125, "learning_rate": 1.960990201459872e-05, "loss": 0.6841, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1323 }, { "epoch": 0.18043063505042245, "grad_norm": 0.2578125, "learning_rate": 1.9608584995886103e-05, "loss": 0.7144, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1324 }, { "epoch": 0.1805669119651131, "grad_norm": 0.31640625, "learning_rate": 1.960726580208676e-05, "loss": 0.7544, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1325 }, { "epoch": 0.18070318887980377, "grad_norm": 0.298828125, "learning_rate": 1.9605944433499308e-05, "loss": 0.6522, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1326 }, { "epoch": 0.18083946579449442, "grad_norm": 1.0234375, "learning_rate": 1.960462089042287e-05, "loss": 0.7695, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1327 }, { "epoch": 0.18097574270918507, "grad_norm": 0.322265625, "learning_rate": 1.9603295173157054e-05, "loss": 0.8112, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1328 }, { "epoch": 0.18111201962387571, "grad_norm": 0.3125, "learning_rate": 1.9601967282001957e-05, "loss": 0.749, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1329 }, { "epoch": 0.18124829653856636, "grad_norm": 0.3125, "learning_rate": 1.9600637217258175e-05, "loss": 0.8158, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1330 }, { "epoch": 0.181384573453257, "grad_norm": 0.48828125, "learning_rate": 1.9599304979226796e-05, "loss": 0.7304, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1331 }, { "epoch": 0.18152085036794766, "grad_norm": 0.271484375, "learning_rate": 1.9597970568209395e-05, "loss": 0.6828, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1332 }, { "epoch": 0.18165712728263833, "grad_norm": 0.306640625, "learning_rate": 1.9596633984508046e-05, "loss": 0.7285, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1333 }, { "epoch": 0.18179340419732898, "grad_norm": 0.6171875, "learning_rate": 1.9595295228425302e-05, "loss": 0.8549, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1334 }, { "epoch": 0.18192968111201963, "grad_norm": 0.3125, "learning_rate": 1.9593954300264225e-05, "loss": 0.7427, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1335 }, { "epoch": 0.18206595802671027, "grad_norm": 0.30859375, "learning_rate": 1.9592611200328353e-05, "loss": 0.7644, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1336 }, { "epoch": 0.18220223494140092, "grad_norm": 0.318359375, "learning_rate": 1.9591265928921722e-05, "loss": 0.7543, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1337 }, { "epoch": 0.18233851185609157, "grad_norm": 0.283203125, "learning_rate": 1.9589918486348866e-05, "loss": 0.6924, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1338 }, { "epoch": 0.18247478877078224, "grad_norm": 0.3203125, "learning_rate": 1.95885688729148e-05, "loss": 0.6986, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1339 }, { "epoch": 0.1826110656854729, "grad_norm": 0.6640625, "learning_rate": 1.9587217088925037e-05, "loss": 0.8579, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1340 }, { "epoch": 0.18274734260016354, "grad_norm": 0.34765625, "learning_rate": 1.9585863134685578e-05, "loss": 0.7024, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1341 }, { "epoch": 0.18288361951485418, "grad_norm": 0.26171875, "learning_rate": 1.9584507010502915e-05, "loss": 0.7138, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1342 }, { "epoch": 0.18301989642954483, "grad_norm": 0.3046875, "learning_rate": 1.958314871668403e-05, "loss": 0.7745, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1343 }, { "epoch": 0.18315617334423548, "grad_norm": 0.2314453125, "learning_rate": 1.9581788253536406e-05, "loss": 0.6892, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1344 }, { "epoch": 0.18329245025892613, "grad_norm": 0.279296875, "learning_rate": 1.9580425621368006e-05, "loss": 0.7267, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1345 }, { "epoch": 0.1834287271736168, "grad_norm": 0.26171875, "learning_rate": 1.9579060820487288e-05, "loss": 0.7603, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1346 }, { "epoch": 0.18356500408830745, "grad_norm": 0.31640625, "learning_rate": 1.95776938512032e-05, "loss": 0.754, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1347 }, { "epoch": 0.1837012810029981, "grad_norm": 0.26953125, "learning_rate": 1.9576324713825185e-05, "loss": 0.7291, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1348 }, { "epoch": 0.18383755791768874, "grad_norm": 0.404296875, "learning_rate": 1.9574953408663168e-05, "loss": 0.7131, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1349 }, { "epoch": 0.1839738348323794, "grad_norm": 0.28125, "learning_rate": 1.9573579936027573e-05, "loss": 0.7326, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1350 }, { "epoch": 0.18411011174707004, "grad_norm": 0.265625, "learning_rate": 1.9572204296229312e-05, "loss": 0.7765, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1351 }, { "epoch": 0.18424638866176068, "grad_norm": 0.283203125, "learning_rate": 1.957082648957979e-05, "loss": 0.7572, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1352 }, { "epoch": 0.18438266557645136, "grad_norm": 0.26171875, "learning_rate": 1.9569446516390894e-05, "loss": 0.7093, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1353 }, { "epoch": 0.184518942491142, "grad_norm": 0.271484375, "learning_rate": 1.9568064376975013e-05, "loss": 0.6837, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1354 }, { "epoch": 0.18465521940583265, "grad_norm": 0.3359375, "learning_rate": 1.9566680071645013e-05, "loss": 0.7752, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1355 }, { "epoch": 0.1847914963205233, "grad_norm": 0.271484375, "learning_rate": 1.9565293600714267e-05, "loss": 0.6377, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1356 }, { "epoch": 0.18492777323521395, "grad_norm": 0.279296875, "learning_rate": 1.9563904964496622e-05, "loss": 0.7967, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1357 }, { "epoch": 0.1850640501499046, "grad_norm": 0.298828125, "learning_rate": 1.956251416330643e-05, "loss": 0.764, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1358 }, { "epoch": 0.18520032706459524, "grad_norm": 0.3046875, "learning_rate": 1.9561121197458517e-05, "loss": 0.7326, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1359 }, { "epoch": 0.18533660397928592, "grad_norm": 0.50390625, "learning_rate": 1.9559726067268212e-05, "loss": 0.6972, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1360 }, { "epoch": 0.18547288089397657, "grad_norm": 0.333984375, "learning_rate": 1.9558328773051326e-05, "loss": 0.7803, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1361 }, { "epoch": 0.1856091578086672, "grad_norm": 0.384765625, "learning_rate": 1.955692931512417e-05, "loss": 0.8247, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1362 }, { "epoch": 0.18574543472335786, "grad_norm": 0.32421875, "learning_rate": 1.955552769380353e-05, "loss": 0.6836, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1363 }, { "epoch": 0.1858817116380485, "grad_norm": 0.326171875, "learning_rate": 1.9554123909406698e-05, "loss": 0.6965, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1364 }, { "epoch": 0.18601798855273916, "grad_norm": 0.328125, "learning_rate": 1.955271796225144e-05, "loss": 0.6742, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1365 }, { "epoch": 0.18615426546742983, "grad_norm": 0.30859375, "learning_rate": 1.9551309852656025e-05, "loss": 0.6807, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1366 }, { "epoch": 0.18629054238212048, "grad_norm": 0.337890625, "learning_rate": 1.9549899580939198e-05, "loss": 0.7227, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1367 }, { "epoch": 0.18642681929681112, "grad_norm": 0.26171875, "learning_rate": 1.9548487147420208e-05, "loss": 0.6833, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1368 }, { "epoch": 0.18656309621150177, "grad_norm": 0.267578125, "learning_rate": 1.9547072552418786e-05, "loss": 0.7559, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1369 }, { "epoch": 0.18669937312619242, "grad_norm": 0.28515625, "learning_rate": 1.9545655796255147e-05, "loss": 0.7407, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1370 }, { "epoch": 0.18683565004088307, "grad_norm": 0.3203125, "learning_rate": 1.954423687925e-05, "loss": 0.738, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1371 }, { "epoch": 0.18697192695557371, "grad_norm": 0.25390625, "learning_rate": 1.9542815801724555e-05, "loss": 0.764, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1372 }, { "epoch": 0.1871082038702644, "grad_norm": 0.287109375, "learning_rate": 1.954139256400049e-05, "loss": 0.7453, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1373 }, { "epoch": 0.18724448078495504, "grad_norm": 0.455078125, "learning_rate": 1.9539967166399987e-05, "loss": 0.7556, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1374 }, { "epoch": 0.18738075769964568, "grad_norm": 0.2734375, "learning_rate": 1.953853960924571e-05, "loss": 0.7475, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1375 }, { "epoch": 0.18751703461433633, "grad_norm": 0.279296875, "learning_rate": 1.9537109892860812e-05, "loss": 0.7929, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1376 }, { "epoch": 0.18765331152902698, "grad_norm": 0.322265625, "learning_rate": 1.9535678017568937e-05, "loss": 0.7391, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1377 }, { "epoch": 0.18778958844371763, "grad_norm": 0.267578125, "learning_rate": 1.953424398369422e-05, "loss": 0.7102, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1378 }, { "epoch": 0.18792586535840827, "grad_norm": 0.2578125, "learning_rate": 1.9532807791561284e-05, "loss": 0.6795, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1379 }, { "epoch": 0.18806214227309895, "grad_norm": 0.30859375, "learning_rate": 1.9531369441495235e-05, "loss": 0.772, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1380 }, { "epoch": 0.1881984191877896, "grad_norm": 0.5625, "learning_rate": 1.952992893382167e-05, "loss": 0.739, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1381 }, { "epoch": 0.18833469610248024, "grad_norm": 0.3046875, "learning_rate": 1.9528486268866675e-05, "loss": 0.7031, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1382 }, { "epoch": 0.1884709730171709, "grad_norm": 0.361328125, "learning_rate": 1.952704144695683e-05, "loss": 0.6737, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1383 }, { "epoch": 0.18860724993186154, "grad_norm": 0.796875, "learning_rate": 1.952559446841919e-05, "loss": 0.7836, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1384 }, { "epoch": 0.18874352684655218, "grad_norm": 0.283203125, "learning_rate": 1.9524145333581315e-05, "loss": 0.77, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1385 }, { "epoch": 0.18887980376124286, "grad_norm": 0.294921875, "learning_rate": 1.9522694042771236e-05, "loss": 0.7473, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1386 }, { "epoch": 0.1890160806759335, "grad_norm": 0.322265625, "learning_rate": 1.952124059631749e-05, "loss": 0.7472, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1387 }, { "epoch": 0.18915235759062415, "grad_norm": 0.70703125, "learning_rate": 1.9519784994549083e-05, "loss": 0.6791, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1388 }, { "epoch": 0.1892886345053148, "grad_norm": 0.298828125, "learning_rate": 1.9518327237795524e-05, "loss": 0.7436, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1389 }, { "epoch": 0.18942491142000545, "grad_norm": 0.404296875, "learning_rate": 1.95168673263868e-05, "loss": 0.7422, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1390 }, { "epoch": 0.1895611883346961, "grad_norm": 0.326171875, "learning_rate": 1.9515405260653397e-05, "loss": 0.7404, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1391 }, { "epoch": 0.18969746524938674, "grad_norm": 0.3203125, "learning_rate": 1.9513941040926272e-05, "loss": 0.7493, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1392 }, { "epoch": 0.18983374216407742, "grad_norm": 0.30859375, "learning_rate": 1.9512474667536886e-05, "loss": 0.7202, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1393 }, { "epoch": 0.18997001907876807, "grad_norm": 0.349609375, "learning_rate": 1.9511006140817177e-05, "loss": 0.6611, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1394 }, { "epoch": 0.1901062959934587, "grad_norm": 0.279296875, "learning_rate": 1.9509535461099575e-05, "loss": 0.6898, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1395 }, { "epoch": 0.19024257290814936, "grad_norm": 0.279296875, "learning_rate": 1.9508062628716998e-05, "loss": 0.7342, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1396 }, { "epoch": 0.19037884982284, "grad_norm": 0.28515625, "learning_rate": 1.9506587644002848e-05, "loss": 0.7265, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1397 }, { "epoch": 0.19051512673753065, "grad_norm": 0.43359375, "learning_rate": 1.9505110507291015e-05, "loss": 0.7357, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1398 }, { "epoch": 0.1906514036522213, "grad_norm": 0.380859375, "learning_rate": 1.9503631218915884e-05, "loss": 0.7225, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1399 }, { "epoch": 0.19078768056691198, "grad_norm": 0.283203125, "learning_rate": 1.950214977921231e-05, "loss": 0.7062, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1400 }, { "epoch": 0.19092395748160262, "grad_norm": 0.66015625, "learning_rate": 1.950066618851565e-05, "loss": 0.7913, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1401 }, { "epoch": 0.19106023439629327, "grad_norm": 0.30859375, "learning_rate": 1.9499180447161747e-05, "loss": 0.7611, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1402 }, { "epoch": 0.19119651131098392, "grad_norm": 0.275390625, "learning_rate": 1.949769255548692e-05, "loss": 0.714, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1403 }, { "epoch": 0.19133278822567457, "grad_norm": 0.33203125, "learning_rate": 1.9496202513827984e-05, "loss": 0.769, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1404 }, { "epoch": 0.1914690651403652, "grad_norm": 0.2890625, "learning_rate": 1.949471032252224e-05, "loss": 0.7685, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1405 }, { "epoch": 0.19160534205505586, "grad_norm": 0.328125, "learning_rate": 1.9493215981907473e-05, "loss": 0.7258, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1406 }, { "epoch": 0.19174161896974654, "grad_norm": 0.359375, "learning_rate": 1.9491719492321956e-05, "loss": 0.7601, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1407 }, { "epoch": 0.19187789588443718, "grad_norm": 0.328125, "learning_rate": 1.949022085410445e-05, "loss": 0.7563, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1408 }, { "epoch": 0.19201417279912783, "grad_norm": 0.341796875, "learning_rate": 1.9488720067594195e-05, "loss": 0.7943, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1409 }, { "epoch": 0.19215044971381848, "grad_norm": 0.4453125, "learning_rate": 1.9487217133130925e-05, "loss": 0.789, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1410 }, { "epoch": 0.19228672662850912, "grad_norm": 0.2412109375, "learning_rate": 1.948571205105486e-05, "loss": 0.6915, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1411 }, { "epoch": 0.19242300354319977, "grad_norm": 0.404296875, "learning_rate": 1.9484204821706703e-05, "loss": 0.7665, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1412 }, { "epoch": 0.19255928045789045, "grad_norm": 0.44921875, "learning_rate": 1.9482695445427643e-05, "loss": 0.7902, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1413 }, { "epoch": 0.1926955573725811, "grad_norm": 0.255859375, "learning_rate": 1.9481183922559358e-05, "loss": 0.7259, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1414 }, { "epoch": 0.19283183428727174, "grad_norm": 0.298828125, "learning_rate": 1.947967025344401e-05, "loss": 0.8055, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1415 }, { "epoch": 0.1929681112019624, "grad_norm": 0.33203125, "learning_rate": 1.947815443842424e-05, "loss": 0.7191, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1416 }, { "epoch": 0.19310438811665304, "grad_norm": 0.361328125, "learning_rate": 1.9476636477843196e-05, "loss": 0.7406, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1417 }, { "epoch": 0.19324066503134368, "grad_norm": 0.5390625, "learning_rate": 1.9475116372044483e-05, "loss": 0.6977, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1418 }, { "epoch": 0.19337694194603433, "grad_norm": 0.3515625, "learning_rate": 1.9473594121372215e-05, "loss": 0.7833, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1419 }, { "epoch": 0.193513218860725, "grad_norm": 0.291015625, "learning_rate": 1.947206972617098e-05, "loss": 0.7535, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1420 }, { "epoch": 0.19364949577541565, "grad_norm": 0.388671875, "learning_rate": 1.947054318678585e-05, "loss": 0.7502, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1421 }, { "epoch": 0.1937857726901063, "grad_norm": 0.294921875, "learning_rate": 1.9469014503562393e-05, "loss": 0.7738, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1422 }, { "epoch": 0.19392204960479695, "grad_norm": 0.3046875, "learning_rate": 1.9467483676846654e-05, "loss": 0.6715, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1423 }, { "epoch": 0.1940583265194876, "grad_norm": 0.3203125, "learning_rate": 1.946595070698516e-05, "loss": 0.807, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1424 }, { "epoch": 0.19419460343417824, "grad_norm": 0.279296875, "learning_rate": 1.946441559432493e-05, "loss": 0.7372, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1425 }, { "epoch": 0.1943308803488689, "grad_norm": 0.314453125, "learning_rate": 1.9462878339213473e-05, "loss": 0.7503, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1426 }, { "epoch": 0.19446715726355956, "grad_norm": 0.26953125, "learning_rate": 1.9461338941998768e-05, "loss": 0.7035, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1427 }, { "epoch": 0.1946034341782502, "grad_norm": 0.267578125, "learning_rate": 1.9459797403029286e-05, "loss": 0.7301, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1428 }, { "epoch": 0.19473971109294086, "grad_norm": 0.6171875, "learning_rate": 1.945825372265399e-05, "loss": 0.8597, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1429 }, { "epoch": 0.1948759880076315, "grad_norm": 0.328125, "learning_rate": 1.945670790122232e-05, "loss": 0.7436, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1430 }, { "epoch": 0.19501226492232215, "grad_norm": 0.333984375, "learning_rate": 1.94551599390842e-05, "loss": 0.6754, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1431 }, { "epoch": 0.1951485418370128, "grad_norm": 0.298828125, "learning_rate": 1.945360983659004e-05, "loss": 0.7476, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1432 }, { "epoch": 0.19528481875170345, "grad_norm": 0.328125, "learning_rate": 1.9452057594090737e-05, "loss": 0.6723, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1433 }, { "epoch": 0.19542109566639412, "grad_norm": 0.578125, "learning_rate": 1.9450503211937673e-05, "loss": 0.8319, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1434 }, { "epoch": 0.19555737258108477, "grad_norm": 0.318359375, "learning_rate": 1.944894669048271e-05, "loss": 0.7217, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1435 }, { "epoch": 0.19569364949577542, "grad_norm": 0.470703125, "learning_rate": 1.9447388030078194e-05, "loss": 0.6505, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1436 }, { "epoch": 0.19582992641046607, "grad_norm": 0.2890625, "learning_rate": 1.9445827231076964e-05, "loss": 0.7074, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1437 }, { "epoch": 0.1959662033251567, "grad_norm": 0.36328125, "learning_rate": 1.944426429383233e-05, "loss": 0.6822, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1438 }, { "epoch": 0.19610248023984736, "grad_norm": 0.341796875, "learning_rate": 1.9442699218698093e-05, "loss": 0.8258, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1439 }, { "epoch": 0.19623875715453803, "grad_norm": 0.3203125, "learning_rate": 1.9441132006028544e-05, "loss": 0.7716, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1440 }, { "epoch": 0.19637503406922868, "grad_norm": 0.322265625, "learning_rate": 1.9439562656178442e-05, "loss": 0.7655, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1441 }, { "epoch": 0.19651131098391933, "grad_norm": 0.357421875, "learning_rate": 1.943799116950305e-05, "loss": 0.6666, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1442 }, { "epoch": 0.19664758789860998, "grad_norm": 0.39453125, "learning_rate": 1.9436417546358097e-05, "loss": 0.7529, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1443 }, { "epoch": 0.19678386481330062, "grad_norm": 0.33203125, "learning_rate": 1.9434841787099804e-05, "loss": 0.7824, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1444 }, { "epoch": 0.19692014172799127, "grad_norm": 0.3828125, "learning_rate": 1.9433263892084873e-05, "loss": 0.8036, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1445 }, { "epoch": 0.19705641864268192, "grad_norm": 0.326171875, "learning_rate": 1.9431683861670496e-05, "loss": 0.6469, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1446 }, { "epoch": 0.1971926955573726, "grad_norm": 0.3515625, "learning_rate": 1.9430101696214335e-05, "loss": 0.7191, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1447 }, { "epoch": 0.19732897247206324, "grad_norm": 0.3359375, "learning_rate": 1.942851739607455e-05, "loss": 0.8079, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1448 }, { "epoch": 0.1974652493867539, "grad_norm": 0.267578125, "learning_rate": 1.9426930961609777e-05, "loss": 0.687, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1449 }, { "epoch": 0.19760152630144454, "grad_norm": 0.3125, "learning_rate": 1.9425342393179128e-05, "loss": 0.7171, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1450 }, { "epoch": 0.19773780321613518, "grad_norm": 0.283203125, "learning_rate": 1.9423751691142216e-05, "loss": 0.7825, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1451 }, { "epoch": 0.19787408013082583, "grad_norm": 0.35546875, "learning_rate": 1.9422158855859122e-05, "loss": 0.7425, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1452 }, { "epoch": 0.19801035704551648, "grad_norm": 0.28125, "learning_rate": 1.9420563887690414e-05, "loss": 0.7241, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1453 }, { "epoch": 0.19814663396020715, "grad_norm": 0.310546875, "learning_rate": 1.9418966786997148e-05, "loss": 0.6803, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1454 }, { "epoch": 0.1982829108748978, "grad_norm": 0.31640625, "learning_rate": 1.9417367554140854e-05, "loss": 0.6721, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1455 }, { "epoch": 0.19841918778958845, "grad_norm": 0.318359375, "learning_rate": 1.941576618948355e-05, "loss": 0.6502, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1456 }, { "epoch": 0.1985554647042791, "grad_norm": 0.3359375, "learning_rate": 1.9414162693387734e-05, "loss": 0.7255, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1457 }, { "epoch": 0.19869174161896974, "grad_norm": 0.26171875, "learning_rate": 1.941255706621639e-05, "loss": 0.7073, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1458 }, { "epoch": 0.1988280185336604, "grad_norm": 0.359375, "learning_rate": 1.941094930833298e-05, "loss": 0.743, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1459 }, { "epoch": 0.19896429544835104, "grad_norm": 0.369140625, "learning_rate": 1.9409339420101454e-05, "loss": 0.724, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1460 }, { "epoch": 0.1991005723630417, "grad_norm": 0.251953125, "learning_rate": 1.940772740188624e-05, "loss": 0.7474, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1461 }, { "epoch": 0.19923684927773236, "grad_norm": 0.28515625, "learning_rate": 1.9406113254052248e-05, "loss": 0.7429, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1462 }, { "epoch": 0.199373126192423, "grad_norm": 0.40625, "learning_rate": 1.940449697696487e-05, "loss": 0.7001, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1463 }, { "epoch": 0.19950940310711365, "grad_norm": 0.380859375, "learning_rate": 1.940287857098999e-05, "loss": 0.8066, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1464 }, { "epoch": 0.1996456800218043, "grad_norm": 0.40234375, "learning_rate": 1.940125803649395e-05, "loss": 0.7759, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1465 }, { "epoch": 0.19978195693649495, "grad_norm": 0.337890625, "learning_rate": 1.9399635373843597e-05, "loss": 0.7157, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1466 }, { "epoch": 0.19991823385118562, "grad_norm": 0.28125, "learning_rate": 1.9398010583406255e-05, "loss": 0.7327, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1467 }, { "epoch": 0.20005451076587627, "grad_norm": 0.390625, "learning_rate": 1.9396383665549724e-05, "loss": 0.7995, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1468 }, { "epoch": 0.20019078768056692, "grad_norm": 0.33984375, "learning_rate": 1.939475462064228e-05, "loss": 0.7217, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1469 }, { "epoch": 0.20032706459525756, "grad_norm": 0.5390625, "learning_rate": 1.9393123449052703e-05, "loss": 0.7641, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1470 }, { "epoch": 0.2004633415099482, "grad_norm": 0.291015625, "learning_rate": 1.939149015115023e-05, "loss": 0.7195, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1471 }, { "epoch": 0.20059961842463886, "grad_norm": 0.3515625, "learning_rate": 1.938985472730459e-05, "loss": 0.712, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1472 }, { "epoch": 0.2007358953393295, "grad_norm": 0.25390625, "learning_rate": 1.9388217177885994e-05, "loss": 0.7182, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1473 }, { "epoch": 0.20087217225402018, "grad_norm": 0.359375, "learning_rate": 1.9386577503265133e-05, "loss": 0.7835, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1474 }, { "epoch": 0.20100844916871083, "grad_norm": 0.333984375, "learning_rate": 1.9384935703813178e-05, "loss": 0.7255, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1475 }, { "epoch": 0.20114472608340148, "grad_norm": 0.3671875, "learning_rate": 1.9383291779901778e-05, "loss": 0.7035, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1476 }, { "epoch": 0.20128100299809212, "grad_norm": 0.33203125, "learning_rate": 1.9381645731903074e-05, "loss": 0.7012, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1477 }, { "epoch": 0.20141727991278277, "grad_norm": 0.31640625, "learning_rate": 1.9379997560189677e-05, "loss": 0.6889, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1478 }, { "epoch": 0.20155355682747342, "grad_norm": 0.365234375, "learning_rate": 1.937834726513468e-05, "loss": 0.8131, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1479 }, { "epoch": 0.20168983374216407, "grad_norm": 0.388671875, "learning_rate": 1.937669484711166e-05, "loss": 0.7868, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1480 }, { "epoch": 0.20182611065685474, "grad_norm": 0.3046875, "learning_rate": 1.9375040306494677e-05, "loss": 0.7718, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1481 }, { "epoch": 0.2019623875715454, "grad_norm": 0.3046875, "learning_rate": 1.937338364365826e-05, "loss": 0.7407, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1482 }, { "epoch": 0.20209866448623603, "grad_norm": 0.3203125, "learning_rate": 1.9371724858977435e-05, "loss": 0.7349, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1483 }, { "epoch": 0.20223494140092668, "grad_norm": 0.59765625, "learning_rate": 1.9370063952827696e-05, "loss": 0.7132, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1484 }, { "epoch": 0.20237121831561733, "grad_norm": 0.337890625, "learning_rate": 1.936840092558502e-05, "loss": 0.7318, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1485 }, { "epoch": 0.20250749523030798, "grad_norm": 0.287109375, "learning_rate": 1.9366735777625866e-05, "loss": 0.7592, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1486 }, { "epoch": 0.20264377214499862, "grad_norm": 0.359375, "learning_rate": 1.936506850932717e-05, "loss": 0.6886, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1487 }, { "epoch": 0.2027800490596893, "grad_norm": 0.353515625, "learning_rate": 1.936339912106635e-05, "loss": 0.736, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1488 }, { "epoch": 0.20291632597437995, "grad_norm": 0.275390625, "learning_rate": 1.9361727613221308e-05, "loss": 0.6723, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1489 }, { "epoch": 0.2030526028890706, "grad_norm": 0.298828125, "learning_rate": 1.936005398617042e-05, "loss": 0.818, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1490 }, { "epoch": 0.20318887980376124, "grad_norm": 0.265625, "learning_rate": 1.935837824029254e-05, "loss": 0.7271, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1491 }, { "epoch": 0.2033251567184519, "grad_norm": 0.302734375, "learning_rate": 1.935670037596701e-05, "loss": 0.7299, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1492 }, { "epoch": 0.20346143363314254, "grad_norm": 0.2734375, "learning_rate": 1.9355020393573644e-05, "loss": 0.6663, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1493 }, { "epoch": 0.2035977105478332, "grad_norm": 0.37109375, "learning_rate": 1.935333829349274e-05, "loss": 0.7892, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1494 }, { "epoch": 0.20373398746252386, "grad_norm": 0.38671875, "learning_rate": 1.9351654076105067e-05, "loss": 0.7553, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1495 }, { "epoch": 0.2038702643772145, "grad_norm": 0.29296875, "learning_rate": 1.9349967741791888e-05, "loss": 0.8094, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1496 }, { "epoch": 0.20400654129190515, "grad_norm": 0.31640625, "learning_rate": 1.9348279290934938e-05, "loss": 0.7223, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1497 }, { "epoch": 0.2041428182065958, "grad_norm": 0.3671875, "learning_rate": 1.934658872391642e-05, "loss": 0.7565, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1498 }, { "epoch": 0.20427909512128645, "grad_norm": 0.328125, "learning_rate": 1.9344896041119032e-05, "loss": 0.665, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1499 }, { "epoch": 0.2044153720359771, "grad_norm": 0.32421875, "learning_rate": 1.9343201242925947e-05, "loss": 0.72, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1500 }, { "epoch": 0.20455164895066777, "grad_norm": 0.310546875, "learning_rate": 1.9341504329720814e-05, "loss": 0.71, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1501 }, { "epoch": 0.20468792586535842, "grad_norm": 0.392578125, "learning_rate": 1.9339805301887758e-05, "loss": 0.8097, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1502 }, { "epoch": 0.20482420278004906, "grad_norm": 0.33203125, "learning_rate": 1.9338104159811388e-05, "loss": 0.7804, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1503 }, { "epoch": 0.2049604796947397, "grad_norm": 0.392578125, "learning_rate": 1.9336400903876793e-05, "loss": 0.7243, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1504 }, { "epoch": 0.20509675660943036, "grad_norm": 0.298828125, "learning_rate": 1.933469553446954e-05, "loss": 0.7639, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1505 }, { "epoch": 0.205233033524121, "grad_norm": 0.306640625, "learning_rate": 1.933298805197566e-05, "loss": 0.7368, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1506 }, { "epoch": 0.20536931043881165, "grad_norm": 0.31640625, "learning_rate": 1.9331278456781686e-05, "loss": 0.7256, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1507 }, { "epoch": 0.20550558735350233, "grad_norm": 0.296875, "learning_rate": 1.932956674927461e-05, "loss": 0.6327, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1508 }, { "epoch": 0.20564186426819298, "grad_norm": 0.310546875, "learning_rate": 1.9327852929841918e-05, "loss": 0.6869, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1509 }, { "epoch": 0.20577814118288362, "grad_norm": 0.369140625, "learning_rate": 1.9326136998871558e-05, "loss": 0.6731, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1510 }, { "epoch": 0.20591441809757427, "grad_norm": 0.28515625, "learning_rate": 1.9324418956751968e-05, "loss": 0.6576, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1511 }, { "epoch": 0.20605069501226492, "grad_norm": 0.283203125, "learning_rate": 1.9322698803872057e-05, "loss": 0.7122, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1512 }, { "epoch": 0.20618697192695556, "grad_norm": 0.296875, "learning_rate": 1.9320976540621212e-05, "loss": 0.6762, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1513 }, { "epoch": 0.2063232488416462, "grad_norm": 0.32421875, "learning_rate": 1.931925216738931e-05, "loss": 0.747, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1514 }, { "epoch": 0.2064595257563369, "grad_norm": 0.3203125, "learning_rate": 1.9317525684566686e-05, "loss": 0.6803, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1515 }, { "epoch": 0.20659580267102753, "grad_norm": 0.5, "learning_rate": 1.9315797092544168e-05, "loss": 0.7778, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1516 }, { "epoch": 0.20673207958571818, "grad_norm": 0.3125, "learning_rate": 1.9314066391713052e-05, "loss": 0.756, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1517 }, { "epoch": 0.20686835650040883, "grad_norm": 0.337890625, "learning_rate": 1.9312333582465118e-05, "loss": 0.6972, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1518 }, { "epoch": 0.20700463341509948, "grad_norm": 0.341796875, "learning_rate": 1.9310598665192618e-05, "loss": 0.8283, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1519 }, { "epoch": 0.20714091032979012, "grad_norm": 0.31640625, "learning_rate": 1.930886164028829e-05, "loss": 0.7274, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1520 }, { "epoch": 0.2072771872444808, "grad_norm": 0.29296875, "learning_rate": 1.930712250814533e-05, "loss": 0.7122, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1521 }, { "epoch": 0.20741346415917145, "grad_norm": 0.294921875, "learning_rate": 1.9305381269157436e-05, "loss": 0.7018, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1522 }, { "epoch": 0.2075497410738621, "grad_norm": 0.416015625, "learning_rate": 1.9303637923718767e-05, "loss": 0.6898, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1523 }, { "epoch": 0.20768601798855274, "grad_norm": 0.298828125, "learning_rate": 1.9301892472223962e-05, "loss": 0.7343, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1524 }, { "epoch": 0.2078222949032434, "grad_norm": 0.38671875, "learning_rate": 1.9300144915068137e-05, "loss": 0.7694, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1525 }, { "epoch": 0.20795857181793403, "grad_norm": 0.703125, "learning_rate": 1.9298395252646883e-05, "loss": 0.7811, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1526 }, { "epoch": 0.20809484873262468, "grad_norm": 0.373046875, "learning_rate": 1.9296643485356274e-05, "loss": 0.7426, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1527 }, { "epoch": 0.20823112564731536, "grad_norm": 0.328125, "learning_rate": 1.9294889613592853e-05, "loss": 0.718, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1528 }, { "epoch": 0.208367402562006, "grad_norm": 0.365234375, "learning_rate": 1.9293133637753644e-05, "loss": 0.7545, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1529 }, { "epoch": 0.20850367947669665, "grad_norm": 0.3203125, "learning_rate": 1.9291375558236144e-05, "loss": 0.7432, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1530 }, { "epoch": 0.2086399563913873, "grad_norm": 0.25, "learning_rate": 1.9289615375438328e-05, "loss": 0.6847, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1531 }, { "epoch": 0.20877623330607795, "grad_norm": 0.333984375, "learning_rate": 1.9287853089758645e-05, "loss": 0.7217, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1532 }, { "epoch": 0.2089125102207686, "grad_norm": 0.287109375, "learning_rate": 1.9286088701596027e-05, "loss": 0.7555, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1533 }, { "epoch": 0.20904878713545924, "grad_norm": 0.357421875, "learning_rate": 1.9284322211349877e-05, "loss": 0.7779, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1534 }, { "epoch": 0.20918506405014992, "grad_norm": 0.373046875, "learning_rate": 1.928255361942007e-05, "loss": 0.7504, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1535 }, { "epoch": 0.20932134096484056, "grad_norm": 0.3828125, "learning_rate": 1.9280782926206957e-05, "loss": 0.6665, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1536 }, { "epoch": 0.2094576178795312, "grad_norm": 0.404296875, "learning_rate": 1.9279010132111377e-05, "loss": 0.7261, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1537 }, { "epoch": 0.20959389479422186, "grad_norm": 0.359375, "learning_rate": 1.9277235237534633e-05, "loss": 0.8462, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1538 }, { "epoch": 0.2097301717089125, "grad_norm": 0.30859375, "learning_rate": 1.9275458242878506e-05, "loss": 0.7351, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1539 }, { "epoch": 0.20986644862360315, "grad_norm": 0.578125, "learning_rate": 1.9273679148545246e-05, "loss": 0.7782, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1540 }, { "epoch": 0.2100027255382938, "grad_norm": 0.390625, "learning_rate": 1.9271897954937595e-05, "loss": 0.7703, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1541 }, { "epoch": 0.21013900245298447, "grad_norm": 0.314453125, "learning_rate": 1.9270114662458758e-05, "loss": 0.6957, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1542 }, { "epoch": 0.21027527936767512, "grad_norm": 0.388671875, "learning_rate": 1.9268329271512412e-05, "loss": 0.736, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1543 }, { "epoch": 0.21041155628236577, "grad_norm": 0.279296875, "learning_rate": 1.9266541782502716e-05, "loss": 0.6884, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1544 }, { "epoch": 0.21054783319705642, "grad_norm": 0.384765625, "learning_rate": 1.926475219583431e-05, "loss": 0.8098, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1545 }, { "epoch": 0.21068411011174706, "grad_norm": 0.3359375, "learning_rate": 1.926296051191229e-05, "loss": 0.6785, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1546 }, { "epoch": 0.2108203870264377, "grad_norm": 0.498046875, "learning_rate": 1.9261166731142243e-05, "loss": 0.8166, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1547 }, { "epoch": 0.2109566639411284, "grad_norm": 0.28125, "learning_rate": 1.9259370853930227e-05, "loss": 0.6833, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1548 }, { "epoch": 0.21109294085581903, "grad_norm": 0.345703125, "learning_rate": 1.9257572880682775e-05, "loss": 0.7375, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1549 }, { "epoch": 0.21122921777050968, "grad_norm": 0.345703125, "learning_rate": 1.9255772811806886e-05, "loss": 0.8278, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1550 }, { "epoch": 0.21136549468520033, "grad_norm": 0.5859375, "learning_rate": 1.9253970647710042e-05, "loss": 0.8514, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1551 }, { "epoch": 0.21150177159989098, "grad_norm": 0.34375, "learning_rate": 1.92521663888002e-05, "loss": 0.8115, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1552 }, { "epoch": 0.21163804851458162, "grad_norm": 0.328125, "learning_rate": 1.9250360035485786e-05, "loss": 0.7064, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1553 }, { "epoch": 0.21177432542927227, "grad_norm": 0.259765625, "learning_rate": 1.9248551588175704e-05, "loss": 0.759, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1554 }, { "epoch": 0.21191060234396294, "grad_norm": 0.2734375, "learning_rate": 1.924674104727933e-05, "loss": 0.6849, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1555 }, { "epoch": 0.2120468792586536, "grad_norm": 0.291015625, "learning_rate": 1.9244928413206517e-05, "loss": 0.7168, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1556 }, { "epoch": 0.21218315617334424, "grad_norm": 0.26953125, "learning_rate": 1.9243113686367583e-05, "loss": 0.7567, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1557 }, { "epoch": 0.2123194330880349, "grad_norm": 0.294921875, "learning_rate": 1.924129686717333e-05, "loss": 0.7503, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1558 }, { "epoch": 0.21245571000272553, "grad_norm": 0.263671875, "learning_rate": 1.9239477956035034e-05, "loss": 0.7204, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1559 }, { "epoch": 0.21259198691741618, "grad_norm": 0.404296875, "learning_rate": 1.9237656953364432e-05, "loss": 0.7553, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1560 }, { "epoch": 0.21272826383210683, "grad_norm": 0.283203125, "learning_rate": 1.9235833859573748e-05, "loss": 0.6409, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1561 }, { "epoch": 0.2128645407467975, "grad_norm": 0.404296875, "learning_rate": 1.923400867507567e-05, "loss": 0.7238, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1562 }, { "epoch": 0.21300081766148815, "grad_norm": 0.296875, "learning_rate": 1.9232181400283373e-05, "loss": 0.6757, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1563 }, { "epoch": 0.2131370945761788, "grad_norm": 0.3203125, "learning_rate": 1.9230352035610485e-05, "loss": 0.7096, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1564 }, { "epoch": 0.21327337149086945, "grad_norm": 0.26953125, "learning_rate": 1.922852058147112e-05, "loss": 0.7589, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1565 }, { "epoch": 0.2134096484055601, "grad_norm": 0.318359375, "learning_rate": 1.9226687038279866e-05, "loss": 0.7304, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1566 }, { "epoch": 0.21354592532025074, "grad_norm": 0.310546875, "learning_rate": 1.9224851406451777e-05, "loss": 0.691, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1567 }, { "epoch": 0.2136822022349414, "grad_norm": 0.322265625, "learning_rate": 1.9223013686402386e-05, "loss": 0.7564, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1568 }, { "epoch": 0.21381847914963206, "grad_norm": 0.421875, "learning_rate": 1.9221173878547693e-05, "loss": 0.7722, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1569 }, { "epoch": 0.2139547560643227, "grad_norm": 0.3203125, "learning_rate": 1.9219331983304176e-05, "loss": 0.8041, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1570 }, { "epoch": 0.21409103297901336, "grad_norm": 0.318359375, "learning_rate": 1.9217488001088784e-05, "loss": 0.7357, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1571 }, { "epoch": 0.214227309893704, "grad_norm": 0.5078125, "learning_rate": 1.9215641932318938e-05, "loss": 0.7653, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1572 }, { "epoch": 0.21436358680839465, "grad_norm": 0.310546875, "learning_rate": 1.9213793777412527e-05, "loss": 0.7333, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1573 }, { "epoch": 0.2144998637230853, "grad_norm": 0.306640625, "learning_rate": 1.921194353678792e-05, "loss": 0.7434, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1574 }, { "epoch": 0.21463614063777597, "grad_norm": 0.337890625, "learning_rate": 1.921009121086395e-05, "loss": 0.7319, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1575 }, { "epoch": 0.21477241755246662, "grad_norm": 0.234375, "learning_rate": 1.920823680005993e-05, "loss": 0.6859, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1576 }, { "epoch": 0.21490869446715727, "grad_norm": 0.251953125, "learning_rate": 1.920638030479564e-05, "loss": 0.6629, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1577 }, { "epoch": 0.21504497138184792, "grad_norm": 0.41796875, "learning_rate": 1.9204521725491335e-05, "loss": 0.7355, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1578 }, { "epoch": 0.21518124829653856, "grad_norm": 0.263671875, "learning_rate": 1.9202661062567737e-05, "loss": 0.6881, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1579 }, { "epoch": 0.2153175252112292, "grad_norm": 0.322265625, "learning_rate": 1.9200798316446043e-05, "loss": 0.685, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1580 }, { "epoch": 0.21545380212591986, "grad_norm": 0.5859375, "learning_rate": 1.9198933487547923e-05, "loss": 0.7573, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1581 }, { "epoch": 0.21559007904061053, "grad_norm": 0.318359375, "learning_rate": 1.9197066576295518e-05, "loss": 0.6685, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1582 }, { "epoch": 0.21572635595530118, "grad_norm": 0.330078125, "learning_rate": 1.9195197583111437e-05, "loss": 0.6815, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1583 }, { "epoch": 0.21586263286999183, "grad_norm": 0.33984375, "learning_rate": 1.919332650841876e-05, "loss": 0.785, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1584 }, { "epoch": 0.21599890978468247, "grad_norm": 0.6875, "learning_rate": 1.919145335264104e-05, "loss": 0.7386, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1585 }, { "epoch": 0.21613518669937312, "grad_norm": 0.3046875, "learning_rate": 1.918957811620231e-05, "loss": 0.6829, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1586 }, { "epoch": 0.21627146361406377, "grad_norm": 0.384765625, "learning_rate": 1.9187700799527053e-05, "loss": 0.7671, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1587 }, { "epoch": 0.21640774052875442, "grad_norm": 0.4296875, "learning_rate": 1.9185821403040248e-05, "loss": 0.7769, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1588 }, { "epoch": 0.2165440174434451, "grad_norm": 0.353515625, "learning_rate": 1.9183939927167327e-05, "loss": 0.7894, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1589 }, { "epoch": 0.21668029435813574, "grad_norm": 0.2890625, "learning_rate": 1.9182056372334196e-05, "loss": 0.7491, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1590 }, { "epoch": 0.21681657127282639, "grad_norm": 0.2470703125, "learning_rate": 1.918017073896723e-05, "loss": 0.6849, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1591 }, { "epoch": 0.21695284818751703, "grad_norm": 0.3125, "learning_rate": 1.917828302749329e-05, "loss": 0.7679, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1592 }, { "epoch": 0.21708912510220768, "grad_norm": 0.294921875, "learning_rate": 1.9176393238339685e-05, "loss": 0.712, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1593 }, { "epoch": 0.21722540201689833, "grad_norm": 0.341796875, "learning_rate": 1.917450137193421e-05, "loss": 0.7293, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1594 }, { "epoch": 0.21736167893158898, "grad_norm": 0.3984375, "learning_rate": 1.9172607428705126e-05, "loss": 0.8128, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1595 }, { "epoch": 0.21749795584627965, "grad_norm": 0.39453125, "learning_rate": 1.917071140908116e-05, "loss": 0.7881, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1596 }, { "epoch": 0.2176342327609703, "grad_norm": 0.34375, "learning_rate": 1.916881331349151e-05, "loss": 0.7577, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1597 }, { "epoch": 0.21777050967566094, "grad_norm": 0.33203125, "learning_rate": 1.9166913142365852e-05, "loss": 0.7867, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1598 }, { "epoch": 0.2179067865903516, "grad_norm": 0.255859375, "learning_rate": 1.9165010896134323e-05, "loss": 0.69, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1599 }, { "epoch": 0.21804306350504224, "grad_norm": 0.2314453125, "learning_rate": 1.9163106575227534e-05, "loss": 0.6511, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1600 }, { "epoch": 0.2181793404197329, "grad_norm": 0.4453125, "learning_rate": 1.9161200180076564e-05, "loss": 0.7288, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1601 }, { "epoch": 0.21831561733442356, "grad_norm": 0.62890625, "learning_rate": 1.9159291711112962e-05, "loss": 0.8985, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1602 }, { "epoch": 0.2184518942491142, "grad_norm": 0.271484375, "learning_rate": 1.9157381168768742e-05, "loss": 0.7571, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1603 }, { "epoch": 0.21858817116380486, "grad_norm": 0.375, "learning_rate": 1.91554685534764e-05, "loss": 0.7354, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1604 }, { "epoch": 0.2187244480784955, "grad_norm": 0.353515625, "learning_rate": 1.915355386566889e-05, "loss": 0.7804, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1605 }, { "epoch": 0.21886072499318615, "grad_norm": 0.326171875, "learning_rate": 1.9151637105779632e-05, "loss": 0.8026, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1606 }, { "epoch": 0.2189970019078768, "grad_norm": 0.380859375, "learning_rate": 1.914971827424253e-05, "loss": 0.7188, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1607 }, { "epoch": 0.21913327882256745, "grad_norm": 0.2890625, "learning_rate": 1.9147797371491942e-05, "loss": 0.6879, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1608 }, { "epoch": 0.21926955573725812, "grad_norm": 0.453125, "learning_rate": 1.9145874397962704e-05, "loss": 0.8611, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1609 }, { "epoch": 0.21940583265194877, "grad_norm": 0.376953125, "learning_rate": 1.9143949354090118e-05, "loss": 0.7154, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1610 }, { "epoch": 0.21954210956663942, "grad_norm": 0.388671875, "learning_rate": 1.9142022240309953e-05, "loss": 0.691, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1611 }, { "epoch": 0.21967838648133006, "grad_norm": 0.32421875, "learning_rate": 1.9140093057058447e-05, "loss": 0.7213, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1612 }, { "epoch": 0.2198146633960207, "grad_norm": 0.41796875, "learning_rate": 1.9138161804772314e-05, "loss": 0.7327, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1613 }, { "epoch": 0.21995094031071136, "grad_norm": 0.349609375, "learning_rate": 1.9136228483888718e-05, "loss": 0.6875, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1614 }, { "epoch": 0.220087217225402, "grad_norm": 0.375, "learning_rate": 1.9134293094845313e-05, "loss": 0.791, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1615 }, { "epoch": 0.22022349414009268, "grad_norm": 0.361328125, "learning_rate": 1.9132355638080213e-05, "loss": 0.8587, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1616 }, { "epoch": 0.22035977105478333, "grad_norm": 0.322265625, "learning_rate": 1.9130416114031986e-05, "loss": 0.7371, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1617 }, { "epoch": 0.22049604796947397, "grad_norm": 0.380859375, "learning_rate": 1.9128474523139692e-05, "loss": 0.8211, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1618 }, { "epoch": 0.22063232488416462, "grad_norm": 0.2890625, "learning_rate": 1.912653086584284e-05, "loss": 0.7115, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1619 }, { "epoch": 0.22076860179885527, "grad_norm": 0.265625, "learning_rate": 1.912458514258142e-05, "loss": 0.6961, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1620 }, { "epoch": 0.22090487871354592, "grad_norm": 0.39453125, "learning_rate": 1.912263735379588e-05, "loss": 0.7368, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1621 }, { "epoch": 0.22104115562823656, "grad_norm": 0.28515625, "learning_rate": 1.912068749992714e-05, "loss": 0.7893, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1622 }, { "epoch": 0.22117743254292724, "grad_norm": 0.30859375, "learning_rate": 1.9118735581416588e-05, "loss": 0.7288, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1623 }, { "epoch": 0.22131370945761789, "grad_norm": 0.2578125, "learning_rate": 1.9116781598706073e-05, "loss": 0.6551, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1624 }, { "epoch": 0.22144998637230853, "grad_norm": 0.341796875, "learning_rate": 1.9114825552237923e-05, "loss": 0.7401, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1625 }, { "epoch": 0.22158626328699918, "grad_norm": 0.498046875, "learning_rate": 1.9112867442454922e-05, "loss": 0.8198, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1626 }, { "epoch": 0.22172254020168983, "grad_norm": 0.35546875, "learning_rate": 1.911090726980033e-05, "loss": 0.7017, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1627 }, { "epoch": 0.22185881711638047, "grad_norm": 0.310546875, "learning_rate": 1.910894503471786e-05, "loss": 0.7412, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1628 }, { "epoch": 0.22199509403107115, "grad_norm": 0.357421875, "learning_rate": 1.9106980737651714e-05, "loss": 0.7474, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1629 }, { "epoch": 0.2221313709457618, "grad_norm": 0.306640625, "learning_rate": 1.910501437904654e-05, "loss": 0.654, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1630 }, { "epoch": 0.22226764786045244, "grad_norm": 0.310546875, "learning_rate": 1.9103045959347463e-05, "loss": 0.7618, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1631 }, { "epoch": 0.2224039247751431, "grad_norm": 0.345703125, "learning_rate": 1.910107547900007e-05, "loss": 0.8139, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1632 }, { "epoch": 0.22254020168983374, "grad_norm": 0.3984375, "learning_rate": 1.909910293845042e-05, "loss": 0.7013, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1633 }, { "epoch": 0.22267647860452439, "grad_norm": 0.35546875, "learning_rate": 1.9097128338145033e-05, "loss": 0.7138, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1634 }, { "epoch": 0.22281275551921503, "grad_norm": 0.27734375, "learning_rate": 1.90951516785309e-05, "loss": 0.7174, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1635 }, { "epoch": 0.2229490324339057, "grad_norm": 0.2890625, "learning_rate": 1.9093172960055476e-05, "loss": 0.7315, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1636 }, { "epoch": 0.22308530934859636, "grad_norm": 0.3203125, "learning_rate": 1.909119218316668e-05, "loss": 0.7576, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1637 }, { "epoch": 0.223221586263287, "grad_norm": 0.32421875, "learning_rate": 1.9089209348312895e-05, "loss": 0.7263, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1638 }, { "epoch": 0.22335786317797765, "grad_norm": 0.337890625, "learning_rate": 1.908722445594298e-05, "loss": 0.684, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1639 }, { "epoch": 0.2234941400926683, "grad_norm": 0.32421875, "learning_rate": 1.908523750650625e-05, "loss": 0.7581, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1640 }, { "epoch": 0.22363041700735894, "grad_norm": 0.322265625, "learning_rate": 1.9083248500452495e-05, "loss": 0.8935, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1641 }, { "epoch": 0.2237666939220496, "grad_norm": 0.353515625, "learning_rate": 1.9081257438231952e-05, "loss": 0.7412, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1642 }, { "epoch": 0.22390297083674027, "grad_norm": 0.279296875, "learning_rate": 1.9079264320295345e-05, "loss": 0.7307, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1643 }, { "epoch": 0.22403924775143091, "grad_norm": 0.64453125, "learning_rate": 1.9077269147093854e-05, "loss": 0.9577, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1644 }, { "epoch": 0.22417552466612156, "grad_norm": 0.546875, "learning_rate": 1.907527191907912e-05, "loss": 0.728, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1645 }, { "epoch": 0.2243118015808122, "grad_norm": 0.287109375, "learning_rate": 1.9073272636703258e-05, "loss": 0.7116, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1646 }, { "epoch": 0.22444807849550286, "grad_norm": 0.396484375, "learning_rate": 1.9071271300418845e-05, "loss": 0.7139, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1647 }, { "epoch": 0.2245843554101935, "grad_norm": 0.337890625, "learning_rate": 1.906926791067892e-05, "loss": 0.7437, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1648 }, { "epoch": 0.22472063232488415, "grad_norm": 0.33203125, "learning_rate": 1.906726246793698e-05, "loss": 0.7038, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1649 }, { "epoch": 0.22485690923957483, "grad_norm": 0.3671875, "learning_rate": 1.9065254972647008e-05, "loss": 0.726, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1650 }, { "epoch": 0.22499318615426547, "grad_norm": 0.30078125, "learning_rate": 1.9063245425263436e-05, "loss": 0.7113, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1651 }, { "epoch": 0.22512946306895612, "grad_norm": 0.400390625, "learning_rate": 1.9061233826241158e-05, "loss": 0.7598, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1652 }, { "epoch": 0.22526573998364677, "grad_norm": 0.39453125, "learning_rate": 1.905922017603554e-05, "loss": 0.7583, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1653 }, { "epoch": 0.22540201689833742, "grad_norm": 0.29296875, "learning_rate": 1.9057204475102415e-05, "loss": 0.76, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1654 }, { "epoch": 0.22553829381302806, "grad_norm": 0.306640625, "learning_rate": 1.905518672389807e-05, "loss": 0.7096, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1655 }, { "epoch": 0.22567457072771874, "grad_norm": 0.279296875, "learning_rate": 1.9053166922879262e-05, "loss": 0.7571, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1656 }, { "epoch": 0.22581084764240938, "grad_norm": 0.51171875, "learning_rate": 1.9051145072503216e-05, "loss": 0.6924, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1657 }, { "epoch": 0.22594712455710003, "grad_norm": 0.32421875, "learning_rate": 1.904912117322761e-05, "loss": 0.7227, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1658 }, { "epoch": 0.22608340147179068, "grad_norm": 0.326171875, "learning_rate": 1.9047095225510595e-05, "loss": 0.7408, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1659 }, { "epoch": 0.22621967838648133, "grad_norm": 0.328125, "learning_rate": 1.9045067229810784e-05, "loss": 0.7205, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1660 }, { "epoch": 0.22635595530117197, "grad_norm": 0.42578125, "learning_rate": 1.9043037186587252e-05, "loss": 0.7486, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1661 }, { "epoch": 0.22649223221586262, "grad_norm": 0.330078125, "learning_rate": 1.904100509629954e-05, "loss": 0.7522, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1662 }, { "epoch": 0.2266285091305533, "grad_norm": 0.34375, "learning_rate": 1.9038970959407646e-05, "loss": 0.7407, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1663 }, { "epoch": 0.22676478604524394, "grad_norm": 0.287109375, "learning_rate": 1.903693477637204e-05, "loss": 0.7053, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1664 }, { "epoch": 0.2269010629599346, "grad_norm": 0.30078125, "learning_rate": 1.9034896547653647e-05, "loss": 0.6575, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1665 }, { "epoch": 0.22703733987462524, "grad_norm": 0.41015625, "learning_rate": 1.9032856273713864e-05, "loss": 0.7857, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1666 }, { "epoch": 0.22717361678931589, "grad_norm": 0.330078125, "learning_rate": 1.9030813955014543e-05, "loss": 0.7019, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1667 }, { "epoch": 0.22730989370400653, "grad_norm": 0.4375, "learning_rate": 1.9028769592018e-05, "loss": 0.7122, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1668 }, { "epoch": 0.22744617061869718, "grad_norm": 0.369140625, "learning_rate": 1.9026723185187018e-05, "loss": 0.706, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1669 }, { "epoch": 0.22758244753338785, "grad_norm": 0.283203125, "learning_rate": 1.9024674734984837e-05, "loss": 0.6644, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1670 }, { "epoch": 0.2277187244480785, "grad_norm": 0.30859375, "learning_rate": 1.9022624241875173e-05, "loss": 0.6695, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1671 }, { "epoch": 0.22785500136276915, "grad_norm": 0.5078125, "learning_rate": 1.902057170632218e-05, "loss": 0.834, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1672 }, { "epoch": 0.2279912782774598, "grad_norm": 0.3359375, "learning_rate": 1.90185171287905e-05, "loss": 0.7004, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1673 }, { "epoch": 0.22812755519215044, "grad_norm": 0.267578125, "learning_rate": 1.901646050974522e-05, "loss": 0.7252, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1674 }, { "epoch": 0.2282638321068411, "grad_norm": 0.36328125, "learning_rate": 1.9014401849651897e-05, "loss": 0.7672, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1675 }, { "epoch": 0.22840010902153174, "grad_norm": 0.328125, "learning_rate": 1.9012341148976544e-05, "loss": 0.7002, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1676 }, { "epoch": 0.2285363859362224, "grad_norm": 0.31640625, "learning_rate": 1.9010278408185648e-05, "loss": 0.7395, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1677 }, { "epoch": 0.22867266285091306, "grad_norm": 0.306640625, "learning_rate": 1.900821362774614e-05, "loss": 0.7261, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1678 }, { "epoch": 0.2288089397656037, "grad_norm": 0.390625, "learning_rate": 1.900614680812543e-05, "loss": 0.7579, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1679 }, { "epoch": 0.22894521668029436, "grad_norm": 0.3046875, "learning_rate": 1.9004077949791383e-05, "loss": 0.7557, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1680 }, { "epoch": 0.229081493594985, "grad_norm": 0.341796875, "learning_rate": 1.900200705321232e-05, "loss": 0.7803, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1681 }, { "epoch": 0.22921777050967565, "grad_norm": 0.248046875, "learning_rate": 1.8999934118857026e-05, "loss": 0.654, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1682 }, { "epoch": 0.22935404742436633, "grad_norm": 0.390625, "learning_rate": 1.8997859147194754e-05, "loss": 0.791, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1683 }, { "epoch": 0.22949032433905697, "grad_norm": 0.412109375, "learning_rate": 1.8995782138695214e-05, "loss": 0.8245, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1684 }, { "epoch": 0.22962660125374762, "grad_norm": 0.32421875, "learning_rate": 1.8993703093828573e-05, "loss": 0.6282, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1685 }, { "epoch": 0.22976287816843827, "grad_norm": 0.333984375, "learning_rate": 1.8991622013065463e-05, "loss": 0.7562, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1686 }, { "epoch": 0.22989915508312891, "grad_norm": 0.3515625, "learning_rate": 1.898953889687698e-05, "loss": 0.7819, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1687 }, { "epoch": 0.23003543199781956, "grad_norm": 0.267578125, "learning_rate": 1.8987453745734673e-05, "loss": 0.6433, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1688 }, { "epoch": 0.2301717089125102, "grad_norm": 0.322265625, "learning_rate": 1.898536656011056e-05, "loss": 0.8225, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1689 }, { "epoch": 0.23030798582720088, "grad_norm": 0.2890625, "learning_rate": 1.898327734047711e-05, "loss": 0.703, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1690 }, { "epoch": 0.23044426274189153, "grad_norm": 0.419921875, "learning_rate": 1.8981186087307263e-05, "loss": 0.7244, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1691 }, { "epoch": 0.23058053965658218, "grad_norm": 0.345703125, "learning_rate": 1.8979092801074407e-05, "loss": 0.7045, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1692 }, { "epoch": 0.23071681657127283, "grad_norm": 0.296875, "learning_rate": 1.8976997482252408e-05, "loss": 0.711, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1693 }, { "epoch": 0.23085309348596347, "grad_norm": 0.421875, "learning_rate": 1.8974900131315572e-05, "loss": 0.7271, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1694 }, { "epoch": 0.23098937040065412, "grad_norm": 0.3125, "learning_rate": 1.897280074873868e-05, "loss": 0.7331, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1695 }, { "epoch": 0.23112564731534477, "grad_norm": 0.28125, "learning_rate": 1.8970699334996962e-05, "loss": 0.7125, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1696 }, { "epoch": 0.23126192423003544, "grad_norm": 0.37109375, "learning_rate": 1.8968595890566117e-05, "loss": 0.8221, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1697 }, { "epoch": 0.2313982011447261, "grad_norm": 0.27734375, "learning_rate": 1.8966490415922303e-05, "loss": 0.6906, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1698 }, { "epoch": 0.23153447805941674, "grad_norm": 0.30859375, "learning_rate": 1.8964382911542128e-05, "loss": 0.749, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1699 }, { "epoch": 0.23167075497410738, "grad_norm": 0.298828125, "learning_rate": 1.8962273377902668e-05, "loss": 0.7407, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1700 }, { "epoch": 0.23180703188879803, "grad_norm": 0.2890625, "learning_rate": 1.8960161815481456e-05, "loss": 0.7101, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1701 }, { "epoch": 0.23194330880348868, "grad_norm": 0.275390625, "learning_rate": 1.8958048224756484e-05, "loss": 0.785, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1702 }, { "epoch": 0.23207958571817935, "grad_norm": 0.412109375, "learning_rate": 1.8955932606206207e-05, "loss": 0.8383, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1703 }, { "epoch": 0.23221586263287, "grad_norm": 0.2890625, "learning_rate": 1.8953814960309533e-05, "loss": 0.7878, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1704 }, { "epoch": 0.23235213954756065, "grad_norm": 0.373046875, "learning_rate": 1.8951695287545832e-05, "loss": 0.7975, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1705 }, { "epoch": 0.2324884164622513, "grad_norm": 0.48046875, "learning_rate": 1.8949573588394932e-05, "loss": 0.7157, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1706 }, { "epoch": 0.23262469337694194, "grad_norm": 0.333984375, "learning_rate": 1.894744986333712e-05, "loss": 0.7309, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1707 }, { "epoch": 0.2327609702916326, "grad_norm": 0.291015625, "learning_rate": 1.8945324112853146e-05, "loss": 0.6926, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1708 }, { "epoch": 0.23289724720632324, "grad_norm": 0.3125, "learning_rate": 1.894319633742421e-05, "loss": 0.6664, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1709 }, { "epoch": 0.2330335241210139, "grad_norm": 0.3203125, "learning_rate": 1.8941066537531968e-05, "loss": 0.7554, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1710 }, { "epoch": 0.23316980103570456, "grad_norm": 0.400390625, "learning_rate": 1.8938934713658555e-05, "loss": 0.8471, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1711 }, { "epoch": 0.2333060779503952, "grad_norm": 0.3828125, "learning_rate": 1.893680086628654e-05, "loss": 0.7214, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1712 }, { "epoch": 0.23344235486508585, "grad_norm": 0.349609375, "learning_rate": 1.8934664995898962e-05, "loss": 0.6899, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1713 }, { "epoch": 0.2335786317797765, "grad_norm": 0.421875, "learning_rate": 1.893252710297932e-05, "loss": 0.7343, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1714 }, { "epoch": 0.23371490869446715, "grad_norm": 0.357421875, "learning_rate": 1.8930387188011562e-05, "loss": 0.7743, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1715 }, { "epoch": 0.2338511856091578, "grad_norm": 0.30078125, "learning_rate": 1.8928245251480107e-05, "loss": 0.6723, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1716 }, { "epoch": 0.23398746252384847, "grad_norm": 0.306640625, "learning_rate": 1.8926101293869808e-05, "loss": 0.8284, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1717 }, { "epoch": 0.23412373943853912, "grad_norm": 0.322265625, "learning_rate": 1.892395531566601e-05, "loss": 0.6868, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1718 }, { "epoch": 0.23426001635322977, "grad_norm": 0.29296875, "learning_rate": 1.8921807317354475e-05, "loss": 0.7539, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1719 }, { "epoch": 0.2343962932679204, "grad_norm": 0.318359375, "learning_rate": 1.8919657299421458e-05, "loss": 0.6829, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1720 }, { "epoch": 0.23453257018261106, "grad_norm": 0.275390625, "learning_rate": 1.8917505262353656e-05, "loss": 0.6476, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1721 }, { "epoch": 0.2346688470973017, "grad_norm": 0.470703125, "learning_rate": 1.891535120663822e-05, "loss": 0.7881, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1722 }, { "epoch": 0.23480512401199236, "grad_norm": 0.244140625, "learning_rate": 1.891319513276276e-05, "loss": 0.6879, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1723 }, { "epoch": 0.23494140092668303, "grad_norm": 0.35546875, "learning_rate": 1.8911037041215346e-05, "loss": 0.7693, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1724 }, { "epoch": 0.23507767784137368, "grad_norm": 0.322265625, "learning_rate": 1.8908876932484506e-05, "loss": 0.7217, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1725 }, { "epoch": 0.23521395475606433, "grad_norm": 0.294921875, "learning_rate": 1.8906714807059218e-05, "loss": 0.745, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1726 }, { "epoch": 0.23535023167075497, "grad_norm": 1.421875, "learning_rate": 1.8904550665428926e-05, "loss": 0.6841, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1727 }, { "epoch": 0.23548650858544562, "grad_norm": 0.30078125, "learning_rate": 1.8902384508083518e-05, "loss": 0.7233, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1728 }, { "epoch": 0.23562278550013627, "grad_norm": 0.30078125, "learning_rate": 1.8900216335513348e-05, "loss": 0.8391, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1729 }, { "epoch": 0.23575906241482694, "grad_norm": 0.380859375, "learning_rate": 1.8898046148209228e-05, "loss": 0.8151, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1730 }, { "epoch": 0.2358953393295176, "grad_norm": 0.294921875, "learning_rate": 1.889587394666241e-05, "loss": 0.7355, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1731 }, { "epoch": 0.23603161624420824, "grad_norm": 0.275390625, "learning_rate": 1.8893699731364624e-05, "loss": 0.695, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1732 }, { "epoch": 0.23616789315889888, "grad_norm": 0.5546875, "learning_rate": 1.8891523502808037e-05, "loss": 0.8905, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1733 }, { "epoch": 0.23630417007358953, "grad_norm": 0.328125, "learning_rate": 1.888934526148529e-05, "loss": 0.757, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1734 }, { "epoch": 0.23644044698828018, "grad_norm": 0.30859375, "learning_rate": 1.888716500788946e-05, "loss": 0.7319, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1735 }, { "epoch": 0.23657672390297083, "grad_norm": 0.34765625, "learning_rate": 1.8884982742514096e-05, "loss": 0.7616, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1736 }, { "epoch": 0.2367130008176615, "grad_norm": 0.263671875, "learning_rate": 1.888279846585319e-05, "loss": 0.6748, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1737 }, { "epoch": 0.23684927773235215, "grad_norm": 0.337890625, "learning_rate": 1.8880612178401198e-05, "loss": 0.6967, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1738 }, { "epoch": 0.2369855546470428, "grad_norm": 0.30859375, "learning_rate": 1.887842388065302e-05, "loss": 0.6707, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1739 }, { "epoch": 0.23712183156173344, "grad_norm": 0.349609375, "learning_rate": 1.8876233573104038e-05, "loss": 0.7476, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1740 }, { "epoch": 0.2372581084764241, "grad_norm": 0.390625, "learning_rate": 1.887404125625005e-05, "loss": 0.7757, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1741 }, { "epoch": 0.23739438539111474, "grad_norm": 0.267578125, "learning_rate": 1.8871846930587337e-05, "loss": 0.8009, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1742 }, { "epoch": 0.23753066230580538, "grad_norm": 0.271484375, "learning_rate": 1.8869650596612627e-05, "loss": 0.7031, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1743 }, { "epoch": 0.23766693922049606, "grad_norm": 0.37109375, "learning_rate": 1.8867452254823103e-05, "loss": 0.6796, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1744 }, { "epoch": 0.2378032161351867, "grad_norm": 0.28515625, "learning_rate": 1.8865251905716396e-05, "loss": 0.6846, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1745 }, { "epoch": 0.23793949304987735, "grad_norm": 0.345703125, "learning_rate": 1.8863049549790603e-05, "loss": 0.722, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1746 }, { "epoch": 0.238075769964568, "grad_norm": 0.3203125, "learning_rate": 1.8860845187544266e-05, "loss": 0.7335, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1747 }, { "epoch": 0.23821204687925865, "grad_norm": 0.337890625, "learning_rate": 1.8858638819476387e-05, "loss": 0.6363, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1748 }, { "epoch": 0.2383483237939493, "grad_norm": 0.28515625, "learning_rate": 1.885643044608642e-05, "loss": 0.7803, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1749 }, { "epoch": 0.23848460070863994, "grad_norm": 0.3203125, "learning_rate": 1.885422006787427e-05, "loss": 0.7651, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1750 }, { "epoch": 0.23862087762333062, "grad_norm": 0.298828125, "learning_rate": 1.8852007685340298e-05, "loss": 0.7406, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1751 }, { "epoch": 0.23875715453802127, "grad_norm": 0.314453125, "learning_rate": 1.8849793298985318e-05, "loss": 0.6434, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1752 }, { "epoch": 0.2388934314527119, "grad_norm": 0.296875, "learning_rate": 1.8847576909310604e-05, "loss": 0.7472, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1753 }, { "epoch": 0.23902970836740256, "grad_norm": 0.53125, "learning_rate": 1.884535851681787e-05, "loss": 0.7776, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1754 }, { "epoch": 0.2391659852820932, "grad_norm": 0.31640625, "learning_rate": 1.8843138122009302e-05, "loss": 0.744, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1755 }, { "epoch": 0.23930226219678385, "grad_norm": 0.35546875, "learning_rate": 1.8840915725387522e-05, "loss": 0.6984, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1756 }, { "epoch": 0.23943853911147453, "grad_norm": 0.330078125, "learning_rate": 1.883869132745561e-05, "loss": 0.6617, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1757 }, { "epoch": 0.23957481602616518, "grad_norm": 0.37109375, "learning_rate": 1.8836464928717108e-05, "loss": 0.7239, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1758 }, { "epoch": 0.23971109294085582, "grad_norm": 0.306640625, "learning_rate": 1.8834236529676e-05, "loss": 0.7026, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1759 }, { "epoch": 0.23984736985554647, "grad_norm": 0.408203125, "learning_rate": 1.8832006130836726e-05, "loss": 0.6969, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1760 }, { "epoch": 0.23998364677023712, "grad_norm": 0.333984375, "learning_rate": 1.8829773732704177e-05, "loss": 0.7358, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1761 }, { "epoch": 0.24011992368492777, "grad_norm": 0.392578125, "learning_rate": 1.8827539335783703e-05, "loss": 0.6989, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1762 }, { "epoch": 0.2402562005996184, "grad_norm": 0.33984375, "learning_rate": 1.8825302940581105e-05, "loss": 0.7474, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1763 }, { "epoch": 0.2403924775143091, "grad_norm": 0.341796875, "learning_rate": 1.8823064547602627e-05, "loss": 0.7125, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1764 }, { "epoch": 0.24052875442899974, "grad_norm": 0.373046875, "learning_rate": 1.8820824157354978e-05, "loss": 0.7907, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1765 }, { "epoch": 0.24066503134369038, "grad_norm": 0.328125, "learning_rate": 1.8818581770345306e-05, "loss": 0.7851, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1766 }, { "epoch": 0.24080130825838103, "grad_norm": 0.333984375, "learning_rate": 1.881633738708123e-05, "loss": 0.6943, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1767 }, { "epoch": 0.24093758517307168, "grad_norm": 0.50390625, "learning_rate": 1.8814091008070793e-05, "loss": 0.78, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1768 }, { "epoch": 0.24107386208776233, "grad_norm": 0.306640625, "learning_rate": 1.8811842633822513e-05, "loss": 0.7718, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1769 }, { "epoch": 0.24121013900245297, "grad_norm": 0.322265625, "learning_rate": 1.880959226484536e-05, "loss": 0.7267, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1770 }, { "epoch": 0.24134641591714365, "grad_norm": 0.310546875, "learning_rate": 1.880733990164874e-05, "loss": 0.7792, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1771 }, { "epoch": 0.2414826928318343, "grad_norm": 0.443359375, "learning_rate": 1.8805085544742517e-05, "loss": 0.7545, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1772 }, { "epoch": 0.24161896974652494, "grad_norm": 0.318359375, "learning_rate": 1.8802829194637016e-05, "loss": 0.7244, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1773 }, { "epoch": 0.2417552466612156, "grad_norm": 0.287109375, "learning_rate": 1.8800570851842995e-05, "loss": 0.6899, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1774 }, { "epoch": 0.24189152357590624, "grad_norm": 0.294921875, "learning_rate": 1.879831051687168e-05, "loss": 0.6827, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1775 }, { "epoch": 0.24202780049059688, "grad_norm": 0.330078125, "learning_rate": 1.8796048190234742e-05, "loss": 0.7394, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1776 }, { "epoch": 0.24216407740528753, "grad_norm": 0.3125, "learning_rate": 1.8793783872444295e-05, "loss": 0.7564, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1777 }, { "epoch": 0.2423003543199782, "grad_norm": 0.306640625, "learning_rate": 1.8791517564012915e-05, "loss": 0.7756, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1778 }, { "epoch": 0.24243663123466885, "grad_norm": 0.44921875, "learning_rate": 1.878924926545362e-05, "loss": 0.7829, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1779 }, { "epoch": 0.2425729081493595, "grad_norm": 0.3515625, "learning_rate": 1.8786978977279894e-05, "loss": 0.7965, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1780 }, { "epoch": 0.24270918506405015, "grad_norm": 0.83984375, "learning_rate": 1.8784706700005646e-05, "loss": 0.7492, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1781 }, { "epoch": 0.2428454619787408, "grad_norm": 0.3828125, "learning_rate": 1.8782432434145256e-05, "loss": 0.8021, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1782 }, { "epoch": 0.24298173889343144, "grad_norm": 0.326171875, "learning_rate": 1.8780156180213547e-05, "loss": 0.7452, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1783 }, { "epoch": 0.24311801580812212, "grad_norm": 0.25390625, "learning_rate": 1.8777877938725794e-05, "loss": 0.6895, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1784 }, { "epoch": 0.24325429272281276, "grad_norm": 0.2734375, "learning_rate": 1.877559771019772e-05, "loss": 0.6936, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1785 }, { "epoch": 0.2433905696375034, "grad_norm": 0.349609375, "learning_rate": 1.8773315495145496e-05, "loss": 0.6801, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1786 }, { "epoch": 0.24352684655219406, "grad_norm": 0.3125, "learning_rate": 1.8771031294085745e-05, "loss": 0.7644, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1787 }, { "epoch": 0.2436631234668847, "grad_norm": 0.38671875, "learning_rate": 1.876874510753554e-05, "loss": 0.7005, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1788 }, { "epoch": 0.24379940038157535, "grad_norm": 0.48046875, "learning_rate": 1.876645693601241e-05, "loss": 0.7799, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1789 }, { "epoch": 0.243935677296266, "grad_norm": 0.32421875, "learning_rate": 1.8764166780034318e-05, "loss": 0.7238, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1790 }, { "epoch": 0.24407195421095668, "grad_norm": 0.2890625, "learning_rate": 1.8761874640119684e-05, "loss": 0.7091, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1791 }, { "epoch": 0.24420823112564732, "grad_norm": 0.35546875, "learning_rate": 1.8759580516787382e-05, "loss": 0.7814, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1792 }, { "epoch": 0.24434450804033797, "grad_norm": 0.337890625, "learning_rate": 1.8757284410556728e-05, "loss": 0.7113, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1793 }, { "epoch": 0.24448078495502862, "grad_norm": 0.45703125, "learning_rate": 1.875498632194749e-05, "loss": 0.7381, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1794 }, { "epoch": 0.24461706186971927, "grad_norm": 0.26953125, "learning_rate": 1.8752686251479887e-05, "loss": 0.7504, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1795 }, { "epoch": 0.2447533387844099, "grad_norm": 0.271484375, "learning_rate": 1.8750384199674582e-05, "loss": 0.6823, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1796 }, { "epoch": 0.24488961569910056, "grad_norm": 0.3125, "learning_rate": 1.8748080167052688e-05, "loss": 0.7531, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1797 }, { "epoch": 0.24502589261379124, "grad_norm": 0.28515625, "learning_rate": 1.8745774154135763e-05, "loss": 0.7151, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1798 }, { "epoch": 0.24516216952848188, "grad_norm": 0.466796875, "learning_rate": 1.8743466161445823e-05, "loss": 0.7305, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1799 }, { "epoch": 0.24529844644317253, "grad_norm": 0.462890625, "learning_rate": 1.8741156189505325e-05, "loss": 0.7697, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1800 }, { "epoch": 0.24543472335786318, "grad_norm": 0.291015625, "learning_rate": 1.8738844238837173e-05, "loss": 0.6823, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1801 }, { "epoch": 0.24557100027255382, "grad_norm": 0.271484375, "learning_rate": 1.8736530309964722e-05, "loss": 0.681, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1802 }, { "epoch": 0.24570727718724447, "grad_norm": 0.31640625, "learning_rate": 1.873421440341178e-05, "loss": 0.6582, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1803 }, { "epoch": 0.24584355410193512, "grad_norm": 0.27734375, "learning_rate": 1.8731896519702582e-05, "loss": 0.7415, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1804 }, { "epoch": 0.2459798310166258, "grad_norm": 0.310546875, "learning_rate": 1.8729576659361843e-05, "loss": 0.7739, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1805 }, { "epoch": 0.24611610793131644, "grad_norm": 0.3203125, "learning_rate": 1.8727254822914694e-05, "loss": 0.7352, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1806 }, { "epoch": 0.2462523848460071, "grad_norm": 0.265625, "learning_rate": 1.8724931010886734e-05, "loss": 0.7217, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1807 }, { "epoch": 0.24638866176069774, "grad_norm": 0.3828125, "learning_rate": 1.8722605223804004e-05, "loss": 0.7253, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1808 }, { "epoch": 0.24652493867538838, "grad_norm": 0.341796875, "learning_rate": 1.8720277462192982e-05, "loss": 0.8277, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1809 }, { "epoch": 0.24666121559007903, "grad_norm": 0.296875, "learning_rate": 1.8717947726580608e-05, "loss": 0.7224, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1810 }, { "epoch": 0.2467974925047697, "grad_norm": 0.306640625, "learning_rate": 1.8715616017494257e-05, "loss": 0.7524, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1811 }, { "epoch": 0.24693376941946035, "grad_norm": 0.5234375, "learning_rate": 1.8713282335461764e-05, "loss": 0.7369, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1812 }, { "epoch": 0.247070046334151, "grad_norm": 0.26953125, "learning_rate": 1.8710946681011396e-05, "loss": 0.6478, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1813 }, { "epoch": 0.24720632324884165, "grad_norm": 0.37109375, "learning_rate": 1.8708609054671874e-05, "loss": 0.7629, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1814 }, { "epoch": 0.2473426001635323, "grad_norm": 0.326171875, "learning_rate": 1.8706269456972363e-05, "loss": 0.6962, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1815 }, { "epoch": 0.24747887707822294, "grad_norm": 0.341796875, "learning_rate": 1.870392788844248e-05, "loss": 0.724, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1816 }, { "epoch": 0.2476151539929136, "grad_norm": 0.35546875, "learning_rate": 1.8701584349612283e-05, "loss": 0.7411, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1817 }, { "epoch": 0.24775143090760426, "grad_norm": 0.287109375, "learning_rate": 1.8699238841012274e-05, "loss": 0.7083, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1818 }, { "epoch": 0.2478877078222949, "grad_norm": 0.265625, "learning_rate": 1.8696891363173405e-05, "loss": 0.7137, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1819 }, { "epoch": 0.24802398473698556, "grad_norm": 0.26953125, "learning_rate": 1.869454191662707e-05, "loss": 0.6564, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1820 }, { "epoch": 0.2481602616516762, "grad_norm": 0.3046875, "learning_rate": 1.8692190501905114e-05, "loss": 0.7148, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1821 }, { "epoch": 0.24829653856636685, "grad_norm": 0.30078125, "learning_rate": 1.8689837119539825e-05, "loss": 0.7129, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1822 }, { "epoch": 0.2484328154810575, "grad_norm": 0.30859375, "learning_rate": 1.8687481770063936e-05, "loss": 0.7023, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1823 }, { "epoch": 0.24856909239574815, "grad_norm": 0.392578125, "learning_rate": 1.8685124454010623e-05, "loss": 0.8401, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1824 }, { "epoch": 0.24870536931043882, "grad_norm": 0.267578125, "learning_rate": 1.868276517191351e-05, "loss": 0.6871, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1825 }, { "epoch": 0.24884164622512947, "grad_norm": 0.26171875, "learning_rate": 1.868040392430667e-05, "loss": 0.6995, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1826 }, { "epoch": 0.24897792313982012, "grad_norm": 0.267578125, "learning_rate": 1.8678040711724607e-05, "loss": 0.6934, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1827 }, { "epoch": 0.24911420005451076, "grad_norm": 0.310546875, "learning_rate": 1.867567553470229e-05, "loss": 0.7131, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1828 }, { "epoch": 0.2492504769692014, "grad_norm": 0.271484375, "learning_rate": 1.8673308393775115e-05, "loss": 0.7997, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1829 }, { "epoch": 0.24938675388389206, "grad_norm": 0.3828125, "learning_rate": 1.8670939289478932e-05, "loss": 0.734, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1830 }, { "epoch": 0.2495230307985827, "grad_norm": 0.337890625, "learning_rate": 1.8668568222350037e-05, "loss": 0.7336, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1831 }, { "epoch": 0.24965930771327338, "grad_norm": 0.41796875, "learning_rate": 1.8666195192925154e-05, "loss": 0.6376, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1832 }, { "epoch": 0.24979558462796403, "grad_norm": 0.326171875, "learning_rate": 1.866382020174148e-05, "loss": 0.7956, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1833 }, { "epoch": 0.24993186154265468, "grad_norm": 0.474609375, "learning_rate": 1.8661443249336625e-05, "loss": 0.7469, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1834 }, { "epoch": 0.24993186154265468, "eval_loss": 0.7284008860588074, "eval_runtime": 1255.3943, "eval_samples_per_second": 4.093, "eval_steps_per_second": 0.171, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1834 }, { "epoch": 0.2500681384573453, "grad_norm": 0.390625, "learning_rate": 1.8659064336248665e-05, "loss": 0.8278, "memory/device_mem_reserved(gib)": 56.25, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1835 }, { "epoch": 0.25020441537203597, "grad_norm": 0.322265625, "learning_rate": 1.8656683463016114e-05, "loss": 0.7142, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1836 }, { "epoch": 0.2503406922867266, "grad_norm": 0.2490234375, "learning_rate": 1.8654300630177925e-05, "loss": 0.6853, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1837 }, { "epoch": 0.25047696920141727, "grad_norm": 0.3828125, "learning_rate": 1.8651915838273496e-05, "loss": 0.7738, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1838 }, { "epoch": 0.2506132461161079, "grad_norm": 0.28515625, "learning_rate": 1.8649529087842674e-05, "loss": 0.6692, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1839 }, { "epoch": 0.25074952303079856, "grad_norm": 0.56640625, "learning_rate": 1.8647140379425745e-05, "loss": 0.7983, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1840 }, { "epoch": 0.2508857999454892, "grad_norm": 0.26171875, "learning_rate": 1.8644749713563433e-05, "loss": 0.7463, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1841 }, { "epoch": 0.2510220768601799, "grad_norm": 0.341796875, "learning_rate": 1.864235709079692e-05, "loss": 0.6629, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1842 }, { "epoch": 0.25115835377487056, "grad_norm": 0.455078125, "learning_rate": 1.8639962511667816e-05, "loss": 0.6951, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1843 }, { "epoch": 0.2512946306895612, "grad_norm": 0.361328125, "learning_rate": 1.863756597671818e-05, "loss": 0.6706, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1844 }, { "epoch": 0.25143090760425185, "grad_norm": 0.318359375, "learning_rate": 1.8635167486490514e-05, "loss": 0.7332, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1845 }, { "epoch": 0.2515671845189425, "grad_norm": 0.298828125, "learning_rate": 1.8632767041527768e-05, "loss": 0.6679, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1846 }, { "epoch": 0.25170346143363315, "grad_norm": 0.33984375, "learning_rate": 1.8630364642373316e-05, "loss": 0.777, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1847 }, { "epoch": 0.2518397383483238, "grad_norm": 0.2734375, "learning_rate": 1.8627960289571e-05, "loss": 0.7431, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1848 }, { "epoch": 0.25197601526301444, "grad_norm": 0.5234375, "learning_rate": 1.8625553983665082e-05, "loss": 0.7641, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1849 }, { "epoch": 0.2521122921777051, "grad_norm": 0.32421875, "learning_rate": 1.862314572520028e-05, "loss": 0.6794, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1850 }, { "epoch": 0.25224856909239574, "grad_norm": 0.5078125, "learning_rate": 1.8620735514721748e-05, "loss": 0.8079, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1851 }, { "epoch": 0.2523848460070864, "grad_norm": 0.34765625, "learning_rate": 1.861832335277508e-05, "loss": 0.748, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1852 }, { "epoch": 0.25252112292177703, "grad_norm": 0.341796875, "learning_rate": 1.861590923990632e-05, "loss": 0.7272, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1853 }, { "epoch": 0.2526573998364677, "grad_norm": 0.337890625, "learning_rate": 1.8613493176661946e-05, "loss": 0.7184, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1854 }, { "epoch": 0.2527936767511584, "grad_norm": 0.26953125, "learning_rate": 1.8611075163588883e-05, "loss": 0.6798, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1855 }, { "epoch": 0.252929953665849, "grad_norm": 0.244140625, "learning_rate": 1.860865520123449e-05, "loss": 0.6917, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1856 }, { "epoch": 0.2530662305805397, "grad_norm": 0.3046875, "learning_rate": 1.8606233290146574e-05, "loss": 0.8073, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1857 }, { "epoch": 0.2532025074952303, "grad_norm": 0.330078125, "learning_rate": 1.8603809430873383e-05, "loss": 0.6482, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1858 }, { "epoch": 0.25333878440992097, "grad_norm": 0.310546875, "learning_rate": 1.8601383623963596e-05, "loss": 0.7637, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1859 }, { "epoch": 0.2534750613246116, "grad_norm": 0.353515625, "learning_rate": 1.8598955869966354e-05, "loss": 0.7682, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1860 }, { "epoch": 0.25361133823930226, "grad_norm": 0.3046875, "learning_rate": 1.859652616943121e-05, "loss": 0.6944, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1861 }, { "epoch": 0.2537476151539929, "grad_norm": 0.310546875, "learning_rate": 1.8594094522908186e-05, "loss": 0.7132, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1862 }, { "epoch": 0.25388389206868356, "grad_norm": 0.287109375, "learning_rate": 1.8591660930947723e-05, "loss": 0.6212, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1863 }, { "epoch": 0.2540201689833742, "grad_norm": 0.2890625, "learning_rate": 1.8589225394100717e-05, "loss": 0.726, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1864 }, { "epoch": 0.25415644589806485, "grad_norm": 0.318359375, "learning_rate": 1.8586787912918494e-05, "loss": 0.7064, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1865 }, { "epoch": 0.2542927228127555, "grad_norm": 0.306640625, "learning_rate": 1.8584348487952827e-05, "loss": 0.6813, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1866 }, { "epoch": 0.25442899972744615, "grad_norm": 0.41015625, "learning_rate": 1.8581907119755925e-05, "loss": 0.7269, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1867 }, { "epoch": 0.2545652766421368, "grad_norm": 0.224609375, "learning_rate": 1.8579463808880435e-05, "loss": 0.7269, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1868 }, { "epoch": 0.2547015535568275, "grad_norm": 0.296875, "learning_rate": 1.8577018555879457e-05, "loss": 0.6836, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1869 }, { "epoch": 0.25483783047151815, "grad_norm": 0.310546875, "learning_rate": 1.857457136130651e-05, "loss": 0.7675, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1870 }, { "epoch": 0.2549741073862088, "grad_norm": 0.412109375, "learning_rate": 1.8572122225715573e-05, "loss": 0.7646, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1871 }, { "epoch": 0.25511038430089944, "grad_norm": 0.466796875, "learning_rate": 1.8569671149661045e-05, "loss": 0.7622, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1872 }, { "epoch": 0.2552466612155901, "grad_norm": 0.423828125, "learning_rate": 1.856721813369778e-05, "loss": 0.7126, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1873 }, { "epoch": 0.25538293813028073, "grad_norm": 0.2470703125, "learning_rate": 1.8564763178381064e-05, "loss": 0.6744, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1874 }, { "epoch": 0.2555192150449714, "grad_norm": 0.375, "learning_rate": 1.8562306284266622e-05, "loss": 0.7596, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1875 }, { "epoch": 0.25565549195966203, "grad_norm": 0.341796875, "learning_rate": 1.855984745191062e-05, "loss": 0.7424, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1876 }, { "epoch": 0.2557917688743527, "grad_norm": 0.2578125, "learning_rate": 1.855738668186966e-05, "loss": 0.73, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1877 }, { "epoch": 0.2559280457890433, "grad_norm": 0.53125, "learning_rate": 1.8554923974700786e-05, "loss": 0.8429, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1878 }, { "epoch": 0.25606432270373397, "grad_norm": 0.314453125, "learning_rate": 1.8552459330961475e-05, "loss": 0.7274, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1879 }, { "epoch": 0.2562005996184246, "grad_norm": 0.3125, "learning_rate": 1.8549992751209657e-05, "loss": 0.731, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1880 }, { "epoch": 0.25633687653311527, "grad_norm": 0.310546875, "learning_rate": 1.8547524236003675e-05, "loss": 0.7274, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1881 }, { "epoch": 0.25647315344780597, "grad_norm": 0.357421875, "learning_rate": 1.8545053785902333e-05, "loss": 0.6989, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1882 }, { "epoch": 0.2566094303624966, "grad_norm": 0.2578125, "learning_rate": 1.8542581401464864e-05, "loss": 0.7026, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1883 }, { "epoch": 0.25674570727718726, "grad_norm": 0.28125, "learning_rate": 1.8540107083250936e-05, "loss": 0.7378, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1884 }, { "epoch": 0.2568819841918779, "grad_norm": 0.3046875, "learning_rate": 1.853763083182066e-05, "loss": 0.7624, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1885 }, { "epoch": 0.25701826110656856, "grad_norm": 0.34375, "learning_rate": 1.8535152647734586e-05, "loss": 0.7165, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1886 }, { "epoch": 0.2571545380212592, "grad_norm": 0.3046875, "learning_rate": 1.8532672531553696e-05, "loss": 0.7756, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1887 }, { "epoch": 0.25729081493594985, "grad_norm": 0.333984375, "learning_rate": 1.853019048383941e-05, "loss": 0.799, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1888 }, { "epoch": 0.2574270918506405, "grad_norm": 0.396484375, "learning_rate": 1.8527706505153586e-05, "loss": 0.6918, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1889 }, { "epoch": 0.25756336876533115, "grad_norm": 0.2421875, "learning_rate": 1.8525220596058523e-05, "loss": 0.673, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1890 }, { "epoch": 0.2576996456800218, "grad_norm": 0.427734375, "learning_rate": 1.8522732757116956e-05, "loss": 0.7563, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1891 }, { "epoch": 0.25783592259471244, "grad_norm": 0.287109375, "learning_rate": 1.852024298889205e-05, "loss": 0.6879, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1892 }, { "epoch": 0.2579721995094031, "grad_norm": 0.33203125, "learning_rate": 1.8517751291947415e-05, "loss": 0.737, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1893 }, { "epoch": 0.25810847642409374, "grad_norm": 0.30078125, "learning_rate": 1.8515257666847092e-05, "loss": 0.7547, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1894 }, { "epoch": 0.2582447533387844, "grad_norm": 0.341796875, "learning_rate": 1.851276211415556e-05, "loss": 0.6907, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1895 }, { "epoch": 0.2583810302534751, "grad_norm": 0.373046875, "learning_rate": 1.8510264634437736e-05, "loss": 0.7085, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1896 }, { "epoch": 0.25851730716816573, "grad_norm": 0.287109375, "learning_rate": 1.8507765228258977e-05, "loss": 0.7807, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1897 }, { "epoch": 0.2586535840828564, "grad_norm": 0.267578125, "learning_rate": 1.8505263896185062e-05, "loss": 0.7143, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1898 }, { "epoch": 0.258789860997547, "grad_norm": 0.294921875, "learning_rate": 1.8502760638782225e-05, "loss": 0.7539, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1899 }, { "epoch": 0.2589261379122377, "grad_norm": 0.32421875, "learning_rate": 1.850025545661712e-05, "loss": 0.7531, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1900 }, { "epoch": 0.2590624148269283, "grad_norm": 0.388671875, "learning_rate": 1.8497748350256843e-05, "loss": 0.8005, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1901 }, { "epoch": 0.25919869174161897, "grad_norm": 0.275390625, "learning_rate": 1.8495239320268926e-05, "loss": 0.6576, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1902 }, { "epoch": 0.2593349686563096, "grad_norm": 0.3125, "learning_rate": 1.849272836722134e-05, "loss": 0.6773, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1903 }, { "epoch": 0.25947124557100026, "grad_norm": 0.30078125, "learning_rate": 1.849021549168248e-05, "loss": 0.7474, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1904 }, { "epoch": 0.2596075224856909, "grad_norm": 0.30078125, "learning_rate": 1.848770069422119e-05, "loss": 0.752, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1905 }, { "epoch": 0.25974379940038156, "grad_norm": 0.400390625, "learning_rate": 1.8485183975406737e-05, "loss": 0.7155, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1906 }, { "epoch": 0.2598800763150722, "grad_norm": 0.31640625, "learning_rate": 1.848266533580883e-05, "loss": 0.6823, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1907 }, { "epoch": 0.26001635322976285, "grad_norm": 0.279296875, "learning_rate": 1.8480144775997617e-05, "loss": 0.6975, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1908 }, { "epoch": 0.26015263014445356, "grad_norm": 0.33203125, "learning_rate": 1.8477622296543668e-05, "loss": 0.7297, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1909 }, { "epoch": 0.2602889070591442, "grad_norm": 0.345703125, "learning_rate": 1.8475097898017992e-05, "loss": 0.6827, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1910 }, { "epoch": 0.26042518397383485, "grad_norm": 0.337890625, "learning_rate": 1.8472571580992046e-05, "loss": 0.7641, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1911 }, { "epoch": 0.2605614608885255, "grad_norm": 0.33203125, "learning_rate": 1.8470043346037698e-05, "loss": 0.6892, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1912 }, { "epoch": 0.26069773780321615, "grad_norm": 0.51171875, "learning_rate": 1.8467513193727268e-05, "loss": 0.6594, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1913 }, { "epoch": 0.2608340147179068, "grad_norm": 0.330078125, "learning_rate": 1.8464981124633507e-05, "loss": 0.699, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1914 }, { "epoch": 0.26097029163259744, "grad_norm": 0.66796875, "learning_rate": 1.8462447139329595e-05, "loss": 0.7483, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1915 }, { "epoch": 0.2611065685472881, "grad_norm": 0.326171875, "learning_rate": 1.8459911238389142e-05, "loss": 0.7486, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1916 }, { "epoch": 0.26124284546197873, "grad_norm": 0.298828125, "learning_rate": 1.8457373422386203e-05, "loss": 0.733, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1917 }, { "epoch": 0.2613791223766694, "grad_norm": 0.34765625, "learning_rate": 1.8454833691895263e-05, "loss": 0.712, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1918 }, { "epoch": 0.26151539929136003, "grad_norm": 0.287109375, "learning_rate": 1.8452292047491238e-05, "loss": 0.7026, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1919 }, { "epoch": 0.2616516762060507, "grad_norm": 0.37109375, "learning_rate": 1.8449748489749475e-05, "loss": 0.8109, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1920 }, { "epoch": 0.2617879531207413, "grad_norm": 0.392578125, "learning_rate": 1.8447203019245758e-05, "loss": 0.7021, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1921 }, { "epoch": 0.26192423003543197, "grad_norm": 0.28515625, "learning_rate": 1.84446556365563e-05, "loss": 0.7045, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1922 }, { "epoch": 0.2620605069501227, "grad_norm": 0.2734375, "learning_rate": 1.8442106342257754e-05, "loss": 0.665, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1923 }, { "epoch": 0.2621967838648133, "grad_norm": 0.36328125, "learning_rate": 1.84395551369272e-05, "loss": 0.656, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1924 }, { "epoch": 0.26233306077950397, "grad_norm": 0.408203125, "learning_rate": 1.8437002021142154e-05, "loss": 0.6886, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1925 }, { "epoch": 0.2624693376941946, "grad_norm": 0.3046875, "learning_rate": 1.843444699548056e-05, "loss": 0.6868, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1926 }, { "epoch": 0.26260561460888526, "grad_norm": 0.294921875, "learning_rate": 1.8431890060520794e-05, "loss": 0.7242, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1927 }, { "epoch": 0.2627418915235759, "grad_norm": 0.2470703125, "learning_rate": 1.8429331216841673e-05, "loss": 0.7186, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1928 }, { "epoch": 0.26287816843826656, "grad_norm": 0.333984375, "learning_rate": 1.8426770465022436e-05, "loss": 0.7441, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1929 }, { "epoch": 0.2630144453529572, "grad_norm": 0.318359375, "learning_rate": 1.842420780564276e-05, "loss": 0.7347, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1930 }, { "epoch": 0.26315072226764785, "grad_norm": 0.375, "learning_rate": 1.8421643239282753e-05, "loss": 0.7496, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1931 }, { "epoch": 0.2632869991823385, "grad_norm": 0.3125, "learning_rate": 1.8419076766522952e-05, "loss": 0.7275, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1932 }, { "epoch": 0.26342327609702915, "grad_norm": 0.30859375, "learning_rate": 1.8416508387944326e-05, "loss": 0.7862, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1933 }, { "epoch": 0.2635595530117198, "grad_norm": 0.322265625, "learning_rate": 1.8413938104128278e-05, "loss": 0.724, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1934 }, { "epoch": 0.26369582992641044, "grad_norm": 0.353515625, "learning_rate": 1.841136591565664e-05, "loss": 0.794, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1935 }, { "epoch": 0.26383210684110114, "grad_norm": 0.365234375, "learning_rate": 1.8408791823111677e-05, "loss": 0.6697, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1936 }, { "epoch": 0.2639683837557918, "grad_norm": 0.333984375, "learning_rate": 1.8406215827076086e-05, "loss": 0.7153, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1937 }, { "epoch": 0.26410466067048244, "grad_norm": 0.283203125, "learning_rate": 1.840363792813299e-05, "loss": 0.6988, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1938 }, { "epoch": 0.2642409375851731, "grad_norm": 0.375, "learning_rate": 1.8401058126865946e-05, "loss": 0.6708, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1939 }, { "epoch": 0.26437721449986373, "grad_norm": 0.30078125, "learning_rate": 1.8398476423858937e-05, "loss": 0.6995, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1940 }, { "epoch": 0.2645134914145544, "grad_norm": 0.55859375, "learning_rate": 1.839589281969639e-05, "loss": 0.7164, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1941 }, { "epoch": 0.264649768329245, "grad_norm": 0.26171875, "learning_rate": 1.8393307314963148e-05, "loss": 0.6616, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1942 }, { "epoch": 0.2647860452439357, "grad_norm": 0.30859375, "learning_rate": 1.8390719910244487e-05, "loss": 0.7526, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1943 }, { "epoch": 0.2649223221586263, "grad_norm": 0.349609375, "learning_rate": 1.838813060612612e-05, "loss": 0.7623, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1944 }, { "epoch": 0.26505859907331697, "grad_norm": 0.275390625, "learning_rate": 1.8385539403194187e-05, "loss": 0.7472, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1945 }, { "epoch": 0.2651948759880076, "grad_norm": 0.359375, "learning_rate": 1.8382946302035248e-05, "loss": 0.6668, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1946 }, { "epoch": 0.26533115290269826, "grad_norm": 0.296875, "learning_rate": 1.8380351303236308e-05, "loss": 0.6968, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1947 }, { "epoch": 0.2654674298173889, "grad_norm": 0.3046875, "learning_rate": 1.8377754407384792e-05, "loss": 0.7115, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1948 }, { "epoch": 0.26560370673207956, "grad_norm": 0.35546875, "learning_rate": 1.8375155615068557e-05, "loss": 0.7611, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1949 }, { "epoch": 0.26573998364677026, "grad_norm": 0.3203125, "learning_rate": 1.837255492687589e-05, "loss": 0.7086, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1950 }, { "epoch": 0.2658762605614609, "grad_norm": 0.55859375, "learning_rate": 1.8369952343395506e-05, "loss": 0.7594, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1951 }, { "epoch": 0.26601253747615156, "grad_norm": 0.271484375, "learning_rate": 1.8367347865216554e-05, "loss": 0.7147, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1952 }, { "epoch": 0.2661488143908422, "grad_norm": 0.263671875, "learning_rate": 1.8364741492928597e-05, "loss": 0.729, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1953 }, { "epoch": 0.26628509130553285, "grad_norm": 0.2734375, "learning_rate": 1.8362133227121644e-05, "loss": 0.7447, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1954 }, { "epoch": 0.2664213682202235, "grad_norm": 0.376953125, "learning_rate": 1.8359523068386125e-05, "loss": 0.7899, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1955 }, { "epoch": 0.26655764513491415, "grad_norm": 0.255859375, "learning_rate": 1.8356911017312903e-05, "loss": 0.7176, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1956 }, { "epoch": 0.2666939220496048, "grad_norm": 0.28515625, "learning_rate": 1.8354297074493258e-05, "loss": 0.6856, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1957 }, { "epoch": 0.26683019896429544, "grad_norm": 0.2734375, "learning_rate": 1.8351681240518916e-05, "loss": 0.7698, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1958 }, { "epoch": 0.2669664758789861, "grad_norm": 0.310546875, "learning_rate": 1.8349063515982008e-05, "loss": 0.7363, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1959 }, { "epoch": 0.26710275279367673, "grad_norm": 0.33984375, "learning_rate": 1.8346443901475114e-05, "loss": 0.7937, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1960 }, { "epoch": 0.2672390297083674, "grad_norm": 0.29296875, "learning_rate": 1.8343822397591237e-05, "loss": 0.6926, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1961 }, { "epoch": 0.26737530662305803, "grad_norm": 0.345703125, "learning_rate": 1.8341199004923793e-05, "loss": 0.7808, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1962 }, { "epoch": 0.26751158353774873, "grad_norm": 0.3046875, "learning_rate": 1.8338573724066647e-05, "loss": 0.6676, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1963 }, { "epoch": 0.2676478604524394, "grad_norm": 0.279296875, "learning_rate": 1.8335946555614078e-05, "loss": 0.6532, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1964 }, { "epoch": 0.26778413736713, "grad_norm": 0.369140625, "learning_rate": 1.8333317500160798e-05, "loss": 0.6648, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1965 }, { "epoch": 0.2679204142818207, "grad_norm": 0.32421875, "learning_rate": 1.8330686558301942e-05, "loss": 0.7252, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1966 }, { "epoch": 0.2680566911965113, "grad_norm": 0.384765625, "learning_rate": 1.832805373063307e-05, "loss": 0.6673, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1967 }, { "epoch": 0.26819296811120197, "grad_norm": 0.296875, "learning_rate": 1.8325419017750183e-05, "loss": 0.7043, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1968 }, { "epoch": 0.2683292450258926, "grad_norm": 0.3515625, "learning_rate": 1.832278242024969e-05, "loss": 0.7081, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1969 }, { "epoch": 0.26846552194058326, "grad_norm": 0.27734375, "learning_rate": 1.8320143938728437e-05, "loss": 0.6685, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1970 }, { "epoch": 0.2686017988552739, "grad_norm": 0.51171875, "learning_rate": 1.8317503573783693e-05, "loss": 0.685, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1971 }, { "epoch": 0.26873807576996456, "grad_norm": 0.37890625, "learning_rate": 1.8314861326013162e-05, "loss": 0.823, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1972 }, { "epoch": 0.2688743526846552, "grad_norm": 0.3203125, "learning_rate": 1.831221719601496e-05, "loss": 0.6751, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1973 }, { "epoch": 0.26901062959934585, "grad_norm": 0.39453125, "learning_rate": 1.830957118438764e-05, "loss": 0.7, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1974 }, { "epoch": 0.2691469065140365, "grad_norm": 0.53515625, "learning_rate": 1.8306923291730174e-05, "loss": 0.7656, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1975 }, { "epoch": 0.26928318342872715, "grad_norm": 0.4765625, "learning_rate": 1.830427351864197e-05, "loss": 0.7591, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1976 }, { "epoch": 0.26941946034341785, "grad_norm": 0.36328125, "learning_rate": 1.8301621865722846e-05, "loss": 0.7868, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1977 }, { "epoch": 0.2695557372581085, "grad_norm": 0.29296875, "learning_rate": 1.8298968333573058e-05, "loss": 0.6567, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1978 }, { "epoch": 0.26969201417279914, "grad_norm": 0.30078125, "learning_rate": 1.8296312922793284e-05, "loss": 0.7333, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1979 }, { "epoch": 0.2698282910874898, "grad_norm": 0.5625, "learning_rate": 1.829365563398463e-05, "loss": 0.7679, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1980 }, { "epoch": 0.26996456800218044, "grad_norm": 0.38671875, "learning_rate": 1.829099646774862e-05, "loss": 0.7306, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1981 }, { "epoch": 0.2701008449168711, "grad_norm": 0.341796875, "learning_rate": 1.8288335424687207e-05, "loss": 0.7615, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1982 }, { "epoch": 0.27023712183156173, "grad_norm": 0.306640625, "learning_rate": 1.828567250540277e-05, "loss": 0.6423, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1983 }, { "epoch": 0.2703733987462524, "grad_norm": 0.5234375, "learning_rate": 1.8283007710498114e-05, "loss": 0.8175, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1984 }, { "epoch": 0.270509675660943, "grad_norm": 0.296875, "learning_rate": 1.828034104057646e-05, "loss": 0.6958, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1985 }, { "epoch": 0.2706459525756337, "grad_norm": 0.310546875, "learning_rate": 1.8277672496241465e-05, "loss": 0.7115, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1986 }, { "epoch": 0.2707822294903243, "grad_norm": 0.341796875, "learning_rate": 1.8275002078097206e-05, "loss": 0.7663, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1987 }, { "epoch": 0.27091850640501497, "grad_norm": 0.30859375, "learning_rate": 1.8272329786748176e-05, "loss": 0.6493, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1988 }, { "epoch": 0.2710547833197056, "grad_norm": 0.330078125, "learning_rate": 1.826965562279931e-05, "loss": 0.7148, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1989 }, { "epoch": 0.2711910602343963, "grad_norm": 0.34375, "learning_rate": 1.8266979586855945e-05, "loss": 0.6755, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1990 }, { "epoch": 0.27132733714908697, "grad_norm": 0.314453125, "learning_rate": 1.826430167952386e-05, "loss": 0.6963, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1991 }, { "epoch": 0.2714636140637776, "grad_norm": 0.44140625, "learning_rate": 1.826162190140925e-05, "loss": 0.7195, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1992 }, { "epoch": 0.27159989097846826, "grad_norm": 0.474609375, "learning_rate": 1.825894025311873e-05, "loss": 0.7585, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1993 }, { "epoch": 0.2717361678931589, "grad_norm": 0.44921875, "learning_rate": 1.8256256735259343e-05, "loss": 0.7417, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1994 }, { "epoch": 0.27187244480784956, "grad_norm": 0.318359375, "learning_rate": 1.8253571348438558e-05, "loss": 0.6814, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1995 }, { "epoch": 0.2720087217225402, "grad_norm": 0.255859375, "learning_rate": 1.825088409326426e-05, "loss": 0.6385, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1996 }, { "epoch": 0.27214499863723085, "grad_norm": 0.279296875, "learning_rate": 1.8248194970344766e-05, "loss": 0.7182, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1997 }, { "epoch": 0.2722812755519215, "grad_norm": 0.23046875, "learning_rate": 1.8245503980288802e-05, "loss": 0.6434, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1998 }, { "epoch": 0.27241755246661215, "grad_norm": 0.48046875, "learning_rate": 1.824281112370553e-05, "loss": 0.7175, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 1999 }, { "epoch": 0.2725538293813028, "grad_norm": 0.392578125, "learning_rate": 1.8240116401204534e-05, "loss": 0.7592, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2000 }, { "epoch": 0.27269010629599344, "grad_norm": 0.41796875, "learning_rate": 1.8237419813395803e-05, "loss": 0.6773, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2001 }, { "epoch": 0.2728263832106841, "grad_norm": 0.322265625, "learning_rate": 1.823472136088978e-05, "loss": 0.8216, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2002 }, { "epoch": 0.27296266012537473, "grad_norm": 1.1640625, "learning_rate": 1.823202104429729e-05, "loss": 0.8719, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2003 }, { "epoch": 0.27309893704006544, "grad_norm": 0.3046875, "learning_rate": 1.8229318864229614e-05, "loss": 0.7767, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2004 }, { "epoch": 0.2732352139547561, "grad_norm": 0.365234375, "learning_rate": 1.8226614821298444e-05, "loss": 0.6942, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2005 }, { "epoch": 0.27337149086944673, "grad_norm": 0.392578125, "learning_rate": 1.8223908916115882e-05, "loss": 0.8248, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2006 }, { "epoch": 0.2735077677841374, "grad_norm": 0.328125, "learning_rate": 1.822120114929447e-05, "loss": 0.7309, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2007 }, { "epoch": 0.273644044698828, "grad_norm": 0.35546875, "learning_rate": 1.821849152144716e-05, "loss": 0.7806, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2008 }, { "epoch": 0.2737803216135187, "grad_norm": 0.306640625, "learning_rate": 1.8215780033187325e-05, "loss": 0.6529, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2009 }, { "epoch": 0.2739165985282093, "grad_norm": 0.333984375, "learning_rate": 1.8213066685128766e-05, "loss": 0.7689, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2010 }, { "epoch": 0.27405287544289997, "grad_norm": 0.33203125, "learning_rate": 1.82103514778857e-05, "loss": 0.699, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2011 }, { "epoch": 0.2741891523575906, "grad_norm": 0.349609375, "learning_rate": 1.8207634412072765e-05, "loss": 0.7485, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2012 }, { "epoch": 0.27432542927228126, "grad_norm": 0.283203125, "learning_rate": 1.820491548830502e-05, "loss": 0.7093, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2013 }, { "epoch": 0.2744617061869719, "grad_norm": 0.41796875, "learning_rate": 1.8202194707197952e-05, "loss": 0.7746, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2014 }, { "epoch": 0.27459798310166256, "grad_norm": 0.4375, "learning_rate": 1.8199472069367452e-05, "loss": 0.7994, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2015 }, { "epoch": 0.2747342600163532, "grad_norm": 0.314453125, "learning_rate": 1.8196747575429847e-05, "loss": 0.7521, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2016 }, { "epoch": 0.2748705369310439, "grad_norm": 0.25390625, "learning_rate": 1.8194021226001878e-05, "loss": 0.7356, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2017 }, { "epoch": 0.27500681384573455, "grad_norm": 0.435546875, "learning_rate": 1.8191293021700704e-05, "loss": 0.7786, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2018 }, { "epoch": 0.2751430907604252, "grad_norm": 0.30859375, "learning_rate": 1.818856296314391e-05, "loss": 0.6845, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2019 }, { "epoch": 0.27527936767511585, "grad_norm": 0.33203125, "learning_rate": 1.8185831050949492e-05, "loss": 0.6764, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2020 }, { "epoch": 0.2754156445898065, "grad_norm": 0.28125, "learning_rate": 1.8183097285735872e-05, "loss": 0.6802, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2021 }, { "epoch": 0.27555192150449714, "grad_norm": 0.294921875, "learning_rate": 1.8180361668121892e-05, "loss": 0.7436, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2022 }, { "epoch": 0.2756881984191878, "grad_norm": 0.41796875, "learning_rate": 1.817762419872681e-05, "loss": 0.708, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2023 }, { "epoch": 0.27582447533387844, "grad_norm": 0.326171875, "learning_rate": 1.8174884878170303e-05, "loss": 0.6474, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2024 }, { "epoch": 0.2759607522485691, "grad_norm": 0.298828125, "learning_rate": 1.817214370707247e-05, "loss": 0.6841, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2025 }, { "epoch": 0.27609702916325973, "grad_norm": 0.400390625, "learning_rate": 1.816940068605383e-05, "loss": 0.7397, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2026 }, { "epoch": 0.2762333060779504, "grad_norm": 0.419921875, "learning_rate": 1.8166655815735314e-05, "loss": 0.7711, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2027 }, { "epoch": 0.276369582992641, "grad_norm": 0.4453125, "learning_rate": 1.8163909096738276e-05, "loss": 0.7163, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2028 }, { "epoch": 0.2765058599073317, "grad_norm": 0.412109375, "learning_rate": 1.8161160529684493e-05, "loss": 0.6908, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2029 }, { "epoch": 0.2766421368220223, "grad_norm": 0.26953125, "learning_rate": 1.815841011519615e-05, "loss": 0.6545, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2030 }, { "epoch": 0.276778413736713, "grad_norm": 0.349609375, "learning_rate": 1.815565785389586e-05, "loss": 0.7678, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2031 }, { "epoch": 0.27691469065140367, "grad_norm": 0.322265625, "learning_rate": 1.8152903746406648e-05, "loss": 0.7386, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2032 }, { "epoch": 0.2770509675660943, "grad_norm": 0.296875, "learning_rate": 1.815014779335196e-05, "loss": 0.7457, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2033 }, { "epoch": 0.27718724448078497, "grad_norm": 0.4140625, "learning_rate": 1.8147389995355655e-05, "loss": 0.7865, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2034 }, { "epoch": 0.2773235213954756, "grad_norm": 0.2578125, "learning_rate": 1.814463035304202e-05, "loss": 0.6774, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2035 }, { "epoch": 0.27745979831016626, "grad_norm": 0.287109375, "learning_rate": 1.8141868867035745e-05, "loss": 0.7411, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2036 }, { "epoch": 0.2775960752248569, "grad_norm": 0.33203125, "learning_rate": 1.813910553796195e-05, "loss": 0.7695, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2037 }, { "epoch": 0.27773235213954756, "grad_norm": 0.40234375, "learning_rate": 1.8136340366446162e-05, "loss": 0.7561, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2038 }, { "epoch": 0.2778686290542382, "grad_norm": 0.341796875, "learning_rate": 1.813357335311434e-05, "loss": 0.6774, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2039 }, { "epoch": 0.27800490596892885, "grad_norm": 0.37109375, "learning_rate": 1.8130804498592843e-05, "loss": 0.7347, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2040 }, { "epoch": 0.2781411828836195, "grad_norm": 0.275390625, "learning_rate": 1.8128033803508454e-05, "loss": 0.6599, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2041 }, { "epoch": 0.27827745979831015, "grad_norm": 0.283203125, "learning_rate": 1.8125261268488378e-05, "loss": 0.7584, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2042 }, { "epoch": 0.2784137367130008, "grad_norm": 0.353515625, "learning_rate": 1.8122486894160224e-05, "loss": 0.7491, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2043 }, { "epoch": 0.2785500136276915, "grad_norm": 0.3046875, "learning_rate": 1.811971068115203e-05, "loss": 0.7479, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2044 }, { "epoch": 0.27868629054238214, "grad_norm": 0.326171875, "learning_rate": 1.8116932630092248e-05, "loss": 0.7546, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2045 }, { "epoch": 0.2788225674570728, "grad_norm": 0.4296875, "learning_rate": 1.8114152741609735e-05, "loss": 0.7707, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2046 }, { "epoch": 0.27895884437176344, "grad_norm": 0.30078125, "learning_rate": 1.811137101633377e-05, "loss": 0.65, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2047 }, { "epoch": 0.2790951212864541, "grad_norm": 0.31640625, "learning_rate": 1.8108587454894063e-05, "loss": 0.7752, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2048 }, { "epoch": 0.27923139820114473, "grad_norm": 0.369140625, "learning_rate": 1.8105802057920713e-05, "loss": 0.724, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2049 }, { "epoch": 0.2793676751158354, "grad_norm": 0.373046875, "learning_rate": 1.8103014826044254e-05, "loss": 0.7728, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2050 }, { "epoch": 0.279503952030526, "grad_norm": 0.34765625, "learning_rate": 1.8100225759895627e-05, "loss": 0.7872, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2051 }, { "epoch": 0.2796402289452167, "grad_norm": 0.5078125, "learning_rate": 1.809743486010619e-05, "loss": 0.6561, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2052 }, { "epoch": 0.2797765058599073, "grad_norm": 0.44921875, "learning_rate": 1.8094642127307723e-05, "loss": 0.6979, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2053 }, { "epoch": 0.27991278277459797, "grad_norm": 0.375, "learning_rate": 1.8091847562132406e-05, "loss": 0.7812, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2054 }, { "epoch": 0.2800490596892886, "grad_norm": 0.3671875, "learning_rate": 1.8089051165212847e-05, "loss": 0.7285, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2055 }, { "epoch": 0.28018533660397926, "grad_norm": 0.46875, "learning_rate": 1.808625293718206e-05, "loss": 0.7007, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2056 }, { "epoch": 0.2803216135186699, "grad_norm": 0.78515625, "learning_rate": 1.8083452878673483e-05, "loss": 0.6958, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2057 }, { "epoch": 0.2804578904333606, "grad_norm": 0.298828125, "learning_rate": 1.8080650990320955e-05, "loss": 0.748, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2058 }, { "epoch": 0.28059416734805126, "grad_norm": 0.4765625, "learning_rate": 1.8077847272758744e-05, "loss": 0.7936, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2059 }, { "epoch": 0.2807304442627419, "grad_norm": 0.333984375, "learning_rate": 1.8075041726621523e-05, "loss": 0.7655, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2060 }, { "epoch": 0.28086672117743255, "grad_norm": 0.267578125, "learning_rate": 1.807223435254438e-05, "loss": 0.7431, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2061 }, { "epoch": 0.2810029980921232, "grad_norm": 0.326171875, "learning_rate": 1.8069425151162816e-05, "loss": 0.6536, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2062 }, { "epoch": 0.28113927500681385, "grad_norm": 0.314453125, "learning_rate": 1.806661412311275e-05, "loss": 0.7964, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2063 }, { "epoch": 0.2812755519215045, "grad_norm": 0.30078125, "learning_rate": 1.8063801269030513e-05, "loss": 0.7251, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2064 }, { "epoch": 0.28141182883619514, "grad_norm": 0.35546875, "learning_rate": 1.8060986589552848e-05, "loss": 0.7105, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2065 }, { "epoch": 0.2815481057508858, "grad_norm": 0.357421875, "learning_rate": 1.8058170085316906e-05, "loss": 0.682, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2066 }, { "epoch": 0.28168438266557644, "grad_norm": 0.357421875, "learning_rate": 1.8055351756960262e-05, "loss": 0.7917, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2067 }, { "epoch": 0.2818206595802671, "grad_norm": 0.34375, "learning_rate": 1.80525316051209e-05, "loss": 0.7024, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2068 }, { "epoch": 0.28195693649495773, "grad_norm": 0.34765625, "learning_rate": 1.804970963043721e-05, "loss": 0.7444, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2069 }, { "epoch": 0.2820932134096484, "grad_norm": 0.82421875, "learning_rate": 1.8046885833548e-05, "loss": 0.6613, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2070 }, { "epoch": 0.2822294903243391, "grad_norm": 0.302734375, "learning_rate": 1.8044060215092493e-05, "loss": 0.6832, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2071 }, { "epoch": 0.28236576723902973, "grad_norm": 0.353515625, "learning_rate": 1.8041232775710324e-05, "loss": 0.6381, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2072 }, { "epoch": 0.2825020441537204, "grad_norm": 0.322265625, "learning_rate": 1.8038403516041533e-05, "loss": 0.6923, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2073 }, { "epoch": 0.282638321068411, "grad_norm": 0.2470703125, "learning_rate": 1.803557243672658e-05, "loss": 0.7325, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2074 }, { "epoch": 0.28277459798310167, "grad_norm": 0.2578125, "learning_rate": 1.8032739538406333e-05, "loss": 0.7109, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2075 }, { "epoch": 0.2829108748977923, "grad_norm": 0.439453125, "learning_rate": 1.802990482172207e-05, "loss": 0.761, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2076 }, { "epoch": 0.28304715181248297, "grad_norm": 0.30078125, "learning_rate": 1.802706828731549e-05, "loss": 0.7347, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2077 }, { "epoch": 0.2831834287271736, "grad_norm": 0.294921875, "learning_rate": 1.802422993582869e-05, "loss": 0.71, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2078 }, { "epoch": 0.28331970564186426, "grad_norm": 0.4375, "learning_rate": 1.802138976790419e-05, "loss": 0.7664, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2079 }, { "epoch": 0.2834559825565549, "grad_norm": 0.26953125, "learning_rate": 1.801854778418491e-05, "loss": 0.6774, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2080 }, { "epoch": 0.28359225947124556, "grad_norm": 0.28515625, "learning_rate": 1.8015703985314196e-05, "loss": 0.7038, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2081 }, { "epoch": 0.2837285363859362, "grad_norm": 0.314453125, "learning_rate": 1.8012858371935786e-05, "loss": 0.6761, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2082 }, { "epoch": 0.28386481330062685, "grad_norm": 0.4296875, "learning_rate": 1.8010010944693846e-05, "loss": 0.6894, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2083 }, { "epoch": 0.2840010902153175, "grad_norm": 0.330078125, "learning_rate": 1.8007161704232946e-05, "loss": 0.7797, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2084 }, { "epoch": 0.2841373671300082, "grad_norm": 0.275390625, "learning_rate": 1.8004310651198063e-05, "loss": 0.7069, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2085 }, { "epoch": 0.28427364404469885, "grad_norm": 0.373046875, "learning_rate": 1.800145778623459e-05, "loss": 0.7532, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2086 }, { "epoch": 0.2844099209593895, "grad_norm": 0.36328125, "learning_rate": 1.799860310998832e-05, "loss": 0.7853, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2087 }, { "epoch": 0.28454619787408014, "grad_norm": 0.609375, "learning_rate": 1.7995746623105473e-05, "loss": 0.8123, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2088 }, { "epoch": 0.2846824747887708, "grad_norm": 0.333984375, "learning_rate": 1.799288832623267e-05, "loss": 0.7424, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2089 }, { "epoch": 0.28481875170346144, "grad_norm": 0.486328125, "learning_rate": 1.799002822001693e-05, "loss": 0.7495, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2090 }, { "epoch": 0.2849550286181521, "grad_norm": 0.453125, "learning_rate": 1.79871663051057e-05, "loss": 0.7772, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2091 }, { "epoch": 0.28509130553284273, "grad_norm": 0.37109375, "learning_rate": 1.7984302582146827e-05, "loss": 0.7314, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2092 }, { "epoch": 0.2852275824475334, "grad_norm": 0.5625, "learning_rate": 1.7981437051788572e-05, "loss": 0.7848, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2093 }, { "epoch": 0.285363859362224, "grad_norm": 0.296875, "learning_rate": 1.7978569714679603e-05, "loss": 0.7105, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2094 }, { "epoch": 0.2855001362769147, "grad_norm": 0.357421875, "learning_rate": 1.7975700571468994e-05, "loss": 0.7218, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2095 }, { "epoch": 0.2856364131916053, "grad_norm": 0.4375, "learning_rate": 1.797282962280623e-05, "loss": 0.7565, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2096 }, { "epoch": 0.28577269010629597, "grad_norm": 0.314453125, "learning_rate": 1.796995686934121e-05, "loss": 0.7153, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2097 }, { "epoch": 0.28590896702098667, "grad_norm": 0.283203125, "learning_rate": 1.796708231172423e-05, "loss": 0.6986, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2098 }, { "epoch": 0.2860452439356773, "grad_norm": 0.34375, "learning_rate": 1.7964205950606002e-05, "loss": 0.7875, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2099 }, { "epoch": 0.28618152085036797, "grad_norm": 0.236328125, "learning_rate": 1.796132778663765e-05, "loss": 0.7092, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2100 }, { "epoch": 0.2863177977650586, "grad_norm": 0.296875, "learning_rate": 1.7958447820470698e-05, "loss": 0.6924, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2101 }, { "epoch": 0.28645407467974926, "grad_norm": 0.83203125, "learning_rate": 1.795556605275708e-05, "loss": 0.6921, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2102 }, { "epoch": 0.2865903515944399, "grad_norm": 0.314453125, "learning_rate": 1.795268248414914e-05, "loss": 0.7914, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2103 }, { "epoch": 0.28672662850913055, "grad_norm": 0.458984375, "learning_rate": 1.7949797115299633e-05, "loss": 0.7555, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2104 }, { "epoch": 0.2868629054238212, "grad_norm": 0.2890625, "learning_rate": 1.7946909946861713e-05, "loss": 0.6957, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2105 }, { "epoch": 0.28699918233851185, "grad_norm": 0.2734375, "learning_rate": 1.794402097948895e-05, "loss": 0.6964, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2106 }, { "epoch": 0.2871354592532025, "grad_norm": 0.28515625, "learning_rate": 1.794113021383531e-05, "loss": 0.7709, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2107 }, { "epoch": 0.28727173616789314, "grad_norm": 0.267578125, "learning_rate": 1.7938237650555176e-05, "loss": 0.7347, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2108 }, { "epoch": 0.2874080130825838, "grad_norm": 0.76953125, "learning_rate": 1.7935343290303336e-05, "loss": 0.7858, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2109 }, { "epoch": 0.28754428999727444, "grad_norm": 0.515625, "learning_rate": 1.7932447133734986e-05, "loss": 0.7595, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2110 }, { "epoch": 0.2876805669119651, "grad_norm": 0.29296875, "learning_rate": 1.7929549181505722e-05, "loss": 0.6426, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2111 }, { "epoch": 0.2878168438266558, "grad_norm": 0.265625, "learning_rate": 1.7926649434271555e-05, "loss": 0.6899, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2112 }, { "epoch": 0.28795312074134644, "grad_norm": 0.58203125, "learning_rate": 1.7923747892688895e-05, "loss": 0.786, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2113 }, { "epoch": 0.2880893976560371, "grad_norm": 0.3125, "learning_rate": 1.7920844557414564e-05, "loss": 0.7468, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2114 }, { "epoch": 0.28822567457072773, "grad_norm": 0.35546875, "learning_rate": 1.791793942910578e-05, "loss": 0.7358, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2115 }, { "epoch": 0.2883619514854184, "grad_norm": 0.494140625, "learning_rate": 1.7915032508420184e-05, "loss": 0.754, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2116 }, { "epoch": 0.288498228400109, "grad_norm": 0.34765625, "learning_rate": 1.7912123796015808e-05, "loss": 0.7435, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2117 }, { "epoch": 0.28863450531479967, "grad_norm": 0.326171875, "learning_rate": 1.7909213292551096e-05, "loss": 0.7168, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2118 }, { "epoch": 0.2887707822294903, "grad_norm": 0.302734375, "learning_rate": 1.7906300998684894e-05, "loss": 0.7459, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2119 }, { "epoch": 0.28890705914418097, "grad_norm": 0.33203125, "learning_rate": 1.790338691507646e-05, "loss": 0.6934, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2120 }, { "epoch": 0.2890433360588716, "grad_norm": 0.330078125, "learning_rate": 1.7900471042385447e-05, "loss": 0.7435, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2121 }, { "epoch": 0.28917961297356226, "grad_norm": 0.58984375, "learning_rate": 1.7897553381271923e-05, "loss": 0.756, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2122 }, { "epoch": 0.2893158898882529, "grad_norm": 0.314453125, "learning_rate": 1.7894633932396352e-05, "loss": 0.7322, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2123 }, { "epoch": 0.28945216680294356, "grad_norm": 0.294921875, "learning_rate": 1.7891712696419606e-05, "loss": 0.6666, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2124 }, { "epoch": 0.28958844371763426, "grad_norm": 0.3125, "learning_rate": 1.788878967400297e-05, "loss": 0.6895, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2125 }, { "epoch": 0.2897247206323249, "grad_norm": 0.279296875, "learning_rate": 1.7885864865808123e-05, "loss": 0.6554, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2126 }, { "epoch": 0.28986099754701555, "grad_norm": 0.333984375, "learning_rate": 1.788293827249715e-05, "loss": 0.7446, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2127 }, { "epoch": 0.2899972744617062, "grad_norm": 0.443359375, "learning_rate": 1.7880009894732537e-05, "loss": 0.7816, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2128 }, { "epoch": 0.29013355137639685, "grad_norm": 0.380859375, "learning_rate": 1.7877079733177185e-05, "loss": 0.7211, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2129 }, { "epoch": 0.2902698282910875, "grad_norm": 0.314453125, "learning_rate": 1.787414778849439e-05, "loss": 0.6636, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2130 }, { "epoch": 0.29040610520577814, "grad_norm": 0.2734375, "learning_rate": 1.787121406134785e-05, "loss": 0.7709, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2131 }, { "epoch": 0.2905423821204688, "grad_norm": 0.294921875, "learning_rate": 1.7868278552401677e-05, "loss": 0.706, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2132 }, { "epoch": 0.29067865903515944, "grad_norm": 0.353515625, "learning_rate": 1.7865341262320376e-05, "loss": 0.6537, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2133 }, { "epoch": 0.2908149359498501, "grad_norm": 0.451171875, "learning_rate": 1.7862402191768855e-05, "loss": 0.7927, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2134 }, { "epoch": 0.29095121286454073, "grad_norm": 0.3046875, "learning_rate": 1.7859461341412436e-05, "loss": 0.6736, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2135 }, { "epoch": 0.2910874897792314, "grad_norm": 0.498046875, "learning_rate": 1.785651871191683e-05, "loss": 0.8698, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2136 }, { "epoch": 0.291223766693922, "grad_norm": 0.302734375, "learning_rate": 1.785357430394816e-05, "loss": 0.7867, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2137 }, { "epoch": 0.2913600436086127, "grad_norm": 0.314453125, "learning_rate": 1.7850628118172953e-05, "loss": 0.7651, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2138 }, { "epoch": 0.2914963205233034, "grad_norm": 0.353515625, "learning_rate": 1.7847680155258128e-05, "loss": 0.7259, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2139 }, { "epoch": 0.291632597437994, "grad_norm": 0.314453125, "learning_rate": 1.7844730415871013e-05, "loss": 0.7023, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2140 }, { "epoch": 0.29176887435268467, "grad_norm": 0.341796875, "learning_rate": 1.7841778900679344e-05, "loss": 0.682, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2141 }, { "epoch": 0.2919051512673753, "grad_norm": 0.333984375, "learning_rate": 1.7838825610351248e-05, "loss": 0.7705, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2142 }, { "epoch": 0.29204142818206597, "grad_norm": 0.34375, "learning_rate": 1.783587054555526e-05, "loss": 0.742, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2143 }, { "epoch": 0.2921777050967566, "grad_norm": 0.61328125, "learning_rate": 1.7832913706960314e-05, "loss": 0.725, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2144 }, { "epoch": 0.29231398201144726, "grad_norm": 0.3828125, "learning_rate": 1.782995509523575e-05, "loss": 0.7473, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2145 }, { "epoch": 0.2924502589261379, "grad_norm": 0.92578125, "learning_rate": 1.7826994711051305e-05, "loss": 0.6572, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2146 }, { "epoch": 0.29258653584082855, "grad_norm": 0.349609375, "learning_rate": 1.7824032555077114e-05, "loss": 0.6843, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2147 }, { "epoch": 0.2927228127555192, "grad_norm": 0.34375, "learning_rate": 1.7821068627983726e-05, "loss": 0.7359, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2148 }, { "epoch": 0.29285908967020985, "grad_norm": 0.314453125, "learning_rate": 1.7818102930442074e-05, "loss": 0.7177, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2149 }, { "epoch": 0.2929953665849005, "grad_norm": 0.4375, "learning_rate": 1.7815135463123508e-05, "loss": 0.6813, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2150 }, { "epoch": 0.29313164349959114, "grad_norm": 0.28125, "learning_rate": 1.781216622669976e-05, "loss": 0.7107, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2151 }, { "epoch": 0.29326792041428185, "grad_norm": 0.3359375, "learning_rate": 1.780919522184299e-05, "loss": 0.6776, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2152 }, { "epoch": 0.2934041973289725, "grad_norm": 0.265625, "learning_rate": 1.780622244922573e-05, "loss": 0.6352, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2153 }, { "epoch": 0.29354047424366314, "grad_norm": 0.68359375, "learning_rate": 1.780324790952092e-05, "loss": 0.7498, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2154 }, { "epoch": 0.2936767511583538, "grad_norm": 0.3671875, "learning_rate": 1.780027160340191e-05, "loss": 0.715, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2155 }, { "epoch": 0.29381302807304444, "grad_norm": 0.34375, "learning_rate": 1.779729353154245e-05, "loss": 0.6803, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2156 }, { "epoch": 0.2939493049877351, "grad_norm": 0.3203125, "learning_rate": 1.7794313694616676e-05, "loss": 0.7382, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2157 }, { "epoch": 0.29408558190242573, "grad_norm": 0.322265625, "learning_rate": 1.779133209329913e-05, "loss": 0.7334, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2158 }, { "epoch": 0.2942218588171164, "grad_norm": 0.33203125, "learning_rate": 1.7788348728264754e-05, "loss": 0.7235, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2159 }, { "epoch": 0.294358135731807, "grad_norm": 0.412109375, "learning_rate": 1.7785363600188894e-05, "loss": 0.7708, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2160 }, { "epoch": 0.29449441264649767, "grad_norm": 0.34375, "learning_rate": 1.7782376709747293e-05, "loss": 0.8228, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2161 }, { "epoch": 0.2946306895611883, "grad_norm": 0.33984375, "learning_rate": 1.777938805761608e-05, "loss": 0.7187, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2162 }, { "epoch": 0.29476696647587897, "grad_norm": 0.294921875, "learning_rate": 1.77763976444718e-05, "loss": 0.7594, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2163 }, { "epoch": 0.2949032433905696, "grad_norm": 0.29296875, "learning_rate": 1.7773405470991395e-05, "loss": 0.7448, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2164 }, { "epoch": 0.2950395203052603, "grad_norm": 0.248046875, "learning_rate": 1.7770411537852195e-05, "loss": 0.6935, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2165 }, { "epoch": 0.29517579721995096, "grad_norm": 0.259765625, "learning_rate": 1.7767415845731935e-05, "loss": 0.7419, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2166 }, { "epoch": 0.2953120741346416, "grad_norm": 0.52734375, "learning_rate": 1.7764418395308743e-05, "loss": 0.8094, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2167 }, { "epoch": 0.29544835104933226, "grad_norm": 0.38671875, "learning_rate": 1.7761419187261157e-05, "loss": 0.7084, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2168 }, { "epoch": 0.2955846279640229, "grad_norm": 0.2578125, "learning_rate": 1.7758418222268098e-05, "loss": 0.7797, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2169 }, { "epoch": 0.29572090487871355, "grad_norm": 0.3828125, "learning_rate": 1.77554155010089e-05, "loss": 0.809, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2170 }, { "epoch": 0.2958571817934042, "grad_norm": 0.302734375, "learning_rate": 1.7752411024163275e-05, "loss": 0.7086, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2171 }, { "epoch": 0.29599345870809485, "grad_norm": 0.33984375, "learning_rate": 1.7749404792411354e-05, "loss": 0.799, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2172 }, { "epoch": 0.2961297356227855, "grad_norm": 0.228515625, "learning_rate": 1.7746396806433644e-05, "loss": 0.6967, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2173 }, { "epoch": 0.29626601253747614, "grad_norm": 0.306640625, "learning_rate": 1.7743387066911074e-05, "loss": 0.6767, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2174 }, { "epoch": 0.2964022894521668, "grad_norm": 0.3515625, "learning_rate": 1.7740375574524947e-05, "loss": 0.7313, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2175 }, { "epoch": 0.29653856636685744, "grad_norm": 0.3984375, "learning_rate": 1.7737362329956975e-05, "loss": 0.7206, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2176 }, { "epoch": 0.2966748432815481, "grad_norm": 0.353515625, "learning_rate": 1.773434733388926e-05, "loss": 0.7782, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2177 }, { "epoch": 0.29681112019623873, "grad_norm": 0.455078125, "learning_rate": 1.7731330587004308e-05, "loss": 0.6629, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2178 }, { "epoch": 0.29694739711092943, "grad_norm": 0.275390625, "learning_rate": 1.7728312089985013e-05, "loss": 0.6418, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2179 }, { "epoch": 0.2970836740256201, "grad_norm": 0.408203125, "learning_rate": 1.7725291843514674e-05, "loss": 0.6567, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2180 }, { "epoch": 0.29721995094031073, "grad_norm": 0.3203125, "learning_rate": 1.7722269848276978e-05, "loss": 0.7437, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2181 }, { "epoch": 0.2973562278550014, "grad_norm": 0.376953125, "learning_rate": 1.7719246104956012e-05, "loss": 0.8123, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2182 }, { "epoch": 0.297492504769692, "grad_norm": 0.318359375, "learning_rate": 1.771622061423626e-05, "loss": 0.6952, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2183 }, { "epoch": 0.29762878168438267, "grad_norm": 0.46484375, "learning_rate": 1.77131933768026e-05, "loss": 0.7505, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2184 }, { "epoch": 0.2977650585990733, "grad_norm": 0.38671875, "learning_rate": 1.77101643933403e-05, "loss": 0.7345, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2185 }, { "epoch": 0.29790133551376397, "grad_norm": 0.484375, "learning_rate": 1.7707133664535032e-05, "loss": 0.6979, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2186 }, { "epoch": 0.2980376124284546, "grad_norm": 0.33984375, "learning_rate": 1.770410119107286e-05, "loss": 0.715, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2187 }, { "epoch": 0.29817388934314526, "grad_norm": 0.318359375, "learning_rate": 1.7701066973640242e-05, "loss": 0.7119, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2188 }, { "epoch": 0.2983101662578359, "grad_norm": 0.28515625, "learning_rate": 1.769803101292403e-05, "loss": 0.6487, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2189 }, { "epoch": 0.29844644317252655, "grad_norm": 0.328125, "learning_rate": 1.769499330961147e-05, "loss": 0.6698, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2190 }, { "epoch": 0.2985827200872172, "grad_norm": 0.2734375, "learning_rate": 1.7691953864390208e-05, "loss": 0.6995, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2191 }, { "epoch": 0.2987189970019079, "grad_norm": 0.431640625, "learning_rate": 1.7688912677948277e-05, "loss": 0.6629, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2192 }, { "epoch": 0.29885527391659855, "grad_norm": 0.435546875, "learning_rate": 1.768586975097411e-05, "loss": 0.8494, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2193 }, { "epoch": 0.2989915508312892, "grad_norm": 0.31640625, "learning_rate": 1.7682825084156533e-05, "loss": 0.7601, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2194 }, { "epoch": 0.29912782774597985, "grad_norm": 0.40625, "learning_rate": 1.767977867818476e-05, "loss": 0.7529, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2195 }, { "epoch": 0.2992641046606705, "grad_norm": 0.4609375, "learning_rate": 1.7676730533748405e-05, "loss": 0.673, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2196 }, { "epoch": 0.29940038157536114, "grad_norm": 0.326171875, "learning_rate": 1.7673680651537477e-05, "loss": 0.7038, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2197 }, { "epoch": 0.2995366584900518, "grad_norm": 0.34375, "learning_rate": 1.767062903224237e-05, "loss": 0.7983, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2198 }, { "epoch": 0.29967293540474244, "grad_norm": 0.28125, "learning_rate": 1.766757567655388e-05, "loss": 0.7303, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2199 }, { "epoch": 0.2998092123194331, "grad_norm": 0.291015625, "learning_rate": 1.766452058516319e-05, "loss": 0.7469, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2200 }, { "epoch": 0.29994548923412373, "grad_norm": 0.31640625, "learning_rate": 1.7661463758761878e-05, "loss": 0.6993, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2201 }, { "epoch": 0.3000817661488144, "grad_norm": 0.28125, "learning_rate": 1.7658405198041918e-05, "loss": 0.776, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2202 }, { "epoch": 0.300218043063505, "grad_norm": 0.294921875, "learning_rate": 1.7655344903695674e-05, "loss": 0.7011, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2203 }, { "epoch": 0.30035431997819567, "grad_norm": 0.341796875, "learning_rate": 1.7652282876415898e-05, "loss": 0.7, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2204 }, { "epoch": 0.3004905968928863, "grad_norm": 0.283203125, "learning_rate": 1.764921911689574e-05, "loss": 0.6937, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2205 }, { "epoch": 0.300626873807577, "grad_norm": 0.291015625, "learning_rate": 1.764615362582874e-05, "loss": 0.7897, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2206 }, { "epoch": 0.30076315072226767, "grad_norm": 0.298828125, "learning_rate": 1.7643086403908832e-05, "loss": 0.7112, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2207 }, { "epoch": 0.3008994276369583, "grad_norm": 0.3359375, "learning_rate": 1.7640017451830343e-05, "loss": 0.6899, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2208 }, { "epoch": 0.30103570455164896, "grad_norm": 0.3515625, "learning_rate": 1.763694677028798e-05, "loss": 0.7428, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2209 }, { "epoch": 0.3011719814663396, "grad_norm": 0.283203125, "learning_rate": 1.7633874359976862e-05, "loss": 0.7615, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2210 }, { "epoch": 0.30130825838103026, "grad_norm": 0.283203125, "learning_rate": 1.763080022159248e-05, "loss": 0.745, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2211 }, { "epoch": 0.3014445352957209, "grad_norm": 0.330078125, "learning_rate": 1.762772435583072e-05, "loss": 0.7655, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2212 }, { "epoch": 0.30158081221041155, "grad_norm": 0.322265625, "learning_rate": 1.7624646763387874e-05, "loss": 0.6827, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2213 }, { "epoch": 0.3017170891251022, "grad_norm": 0.30859375, "learning_rate": 1.762156744496061e-05, "loss": 0.725, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2214 }, { "epoch": 0.30185336603979285, "grad_norm": 0.2578125, "learning_rate": 1.7618486401245984e-05, "loss": 0.7315, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2215 }, { "epoch": 0.3019896429544835, "grad_norm": 0.2421875, "learning_rate": 1.7615403632941456e-05, "loss": 0.6343, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2216 }, { "epoch": 0.30212591986917414, "grad_norm": 0.416015625, "learning_rate": 1.7612319140744868e-05, "loss": 0.7851, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2217 }, { "epoch": 0.3022621967838648, "grad_norm": 0.279296875, "learning_rate": 1.7609232925354453e-05, "loss": 0.6988, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2218 }, { "epoch": 0.3023984736985555, "grad_norm": 0.310546875, "learning_rate": 1.7606144987468836e-05, "loss": 0.7591, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2219 }, { "epoch": 0.30253475061324614, "grad_norm": 0.396484375, "learning_rate": 1.760305532778703e-05, "loss": 0.716, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2220 }, { "epoch": 0.3026710275279368, "grad_norm": 0.263671875, "learning_rate": 1.759996394700844e-05, "loss": 0.6618, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2221 }, { "epoch": 0.30280730444262743, "grad_norm": 0.3828125, "learning_rate": 1.759687084583285e-05, "loss": 0.7964, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2222 }, { "epoch": 0.3029435813573181, "grad_norm": 0.51171875, "learning_rate": 1.7593776024960457e-05, "loss": 0.6551, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2223 }, { "epoch": 0.30307985827200873, "grad_norm": 0.306640625, "learning_rate": 1.7590679485091822e-05, "loss": 0.7051, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2224 }, { "epoch": 0.3032161351866994, "grad_norm": 0.2890625, "learning_rate": 1.758758122692791e-05, "loss": 0.6526, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2225 }, { "epoch": 0.30335241210139, "grad_norm": 0.31640625, "learning_rate": 1.7584481251170072e-05, "loss": 0.7227, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2226 }, { "epoch": 0.30348868901608067, "grad_norm": 0.259765625, "learning_rate": 1.7581379558520044e-05, "loss": 0.7044, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2227 }, { "epoch": 0.3036249659307713, "grad_norm": 0.3125, "learning_rate": 1.7578276149679956e-05, "loss": 0.6424, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2228 }, { "epoch": 0.30376124284546197, "grad_norm": 0.37890625, "learning_rate": 1.757517102535232e-05, "loss": 0.7818, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2229 }, { "epoch": 0.3038975197601526, "grad_norm": 0.29296875, "learning_rate": 1.7572064186240047e-05, "loss": 0.7525, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2230 }, { "epoch": 0.30403379667484326, "grad_norm": 0.365234375, "learning_rate": 1.7568955633046422e-05, "loss": 0.7805, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2231 }, { "epoch": 0.3041700735895339, "grad_norm": 0.263671875, "learning_rate": 1.7565845366475127e-05, "loss": 0.685, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2232 }, { "epoch": 0.3043063505042246, "grad_norm": 0.37890625, "learning_rate": 1.7562733387230233e-05, "loss": 0.7676, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2233 }, { "epoch": 0.30444262741891526, "grad_norm": 0.40234375, "learning_rate": 1.7559619696016198e-05, "loss": 0.806, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2234 }, { "epoch": 0.3045789043336059, "grad_norm": 0.61328125, "learning_rate": 1.7556504293537856e-05, "loss": 0.8826, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2235 }, { "epoch": 0.30471518124829655, "grad_norm": 0.373046875, "learning_rate": 1.755338718050045e-05, "loss": 0.7274, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2236 }, { "epoch": 0.3048514581629872, "grad_norm": 0.365234375, "learning_rate": 1.7550268357609588e-05, "loss": 0.7072, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2237 }, { "epoch": 0.30498773507767785, "grad_norm": 0.40625, "learning_rate": 1.754714782557128e-05, "loss": 0.6682, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2238 }, { "epoch": 0.3051240119923685, "grad_norm": 0.341796875, "learning_rate": 1.7544025585091917e-05, "loss": 0.8071, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2239 }, { "epoch": 0.30526028890705914, "grad_norm": 0.37890625, "learning_rate": 1.754090163687828e-05, "loss": 0.7295, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2240 }, { "epoch": 0.3053965658217498, "grad_norm": 0.365234375, "learning_rate": 1.7537775981637533e-05, "loss": 0.7521, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2241 }, { "epoch": 0.30553284273644044, "grad_norm": 0.40234375, "learning_rate": 1.7534648620077223e-05, "loss": 0.7461, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2242 }, { "epoch": 0.3056691196511311, "grad_norm": 0.458984375, "learning_rate": 1.7531519552905295e-05, "loss": 0.681, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2243 }, { "epoch": 0.30580539656582173, "grad_norm": 0.296875, "learning_rate": 1.752838878083007e-05, "loss": 0.7153, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2244 }, { "epoch": 0.3059416734805124, "grad_norm": 0.33984375, "learning_rate": 1.7525256304560257e-05, "loss": 0.7792, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2245 }, { "epoch": 0.3060779503952031, "grad_norm": 0.302734375, "learning_rate": 1.752212212480495e-05, "loss": 0.6613, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2246 }, { "epoch": 0.3062142273098937, "grad_norm": 0.294921875, "learning_rate": 1.751898624227364e-05, "loss": 0.6824, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2247 }, { "epoch": 0.3063505042245844, "grad_norm": 0.373046875, "learning_rate": 1.7515848657676185e-05, "loss": 0.6653, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2248 }, { "epoch": 0.306486781139275, "grad_norm": 0.3671875, "learning_rate": 1.751270937172284e-05, "loss": 0.7801, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2249 }, { "epoch": 0.30662305805396567, "grad_norm": 0.314453125, "learning_rate": 1.750956838512424e-05, "loss": 0.6278, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2250 }, { "epoch": 0.3067593349686563, "grad_norm": 0.294921875, "learning_rate": 1.750642569859141e-05, "loss": 0.7066, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2251 }, { "epoch": 0.30689561188334696, "grad_norm": 0.345703125, "learning_rate": 1.7503281312835753e-05, "loss": 0.7394, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2252 }, { "epoch": 0.3070318887980376, "grad_norm": 0.431640625, "learning_rate": 1.7500135228569067e-05, "loss": 0.8127, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2253 }, { "epoch": 0.30716816571272826, "grad_norm": 0.28125, "learning_rate": 1.749698744650353e-05, "loss": 0.6938, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2254 }, { "epoch": 0.3073044426274189, "grad_norm": 0.29296875, "learning_rate": 1.7493837967351693e-05, "loss": 0.7771, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2255 }, { "epoch": 0.30744071954210955, "grad_norm": 0.451171875, "learning_rate": 1.7490686791826504e-05, "loss": 0.781, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2256 }, { "epoch": 0.3075769964568002, "grad_norm": 0.31640625, "learning_rate": 1.7487533920641298e-05, "loss": 0.7079, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2257 }, { "epoch": 0.30771327337149085, "grad_norm": 0.474609375, "learning_rate": 1.748437935450978e-05, "loss": 0.8549, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2258 }, { "epoch": 0.3078495502861815, "grad_norm": 0.458984375, "learning_rate": 1.7481223094146053e-05, "loss": 0.7599, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2259 }, { "epoch": 0.3079858272008722, "grad_norm": 0.310546875, "learning_rate": 1.747806514026459e-05, "loss": 0.7039, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2260 }, { "epoch": 0.30812210411556284, "grad_norm": 0.375, "learning_rate": 1.7474905493580262e-05, "loss": 0.6739, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2261 }, { "epoch": 0.3082583810302535, "grad_norm": 0.31640625, "learning_rate": 1.7471744154808306e-05, "loss": 0.7442, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2262 }, { "epoch": 0.30839465794494414, "grad_norm": 0.478515625, "learning_rate": 1.746858112466436e-05, "loss": 0.8299, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2263 }, { "epoch": 0.3085309348596348, "grad_norm": 0.68359375, "learning_rate": 1.746541640386443e-05, "loss": 0.755, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2264 }, { "epoch": 0.30866721177432543, "grad_norm": 0.314453125, "learning_rate": 1.7462249993124912e-05, "loss": 0.7339, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2265 }, { "epoch": 0.3088034886890161, "grad_norm": 0.24609375, "learning_rate": 1.7459081893162587e-05, "loss": 0.6568, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2266 }, { "epoch": 0.30893976560370673, "grad_norm": 0.41796875, "learning_rate": 1.7455912104694613e-05, "loss": 0.6461, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2267 }, { "epoch": 0.3090760425183974, "grad_norm": 0.36328125, "learning_rate": 1.745274062843853e-05, "loss": 0.8003, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2268 }, { "epoch": 0.309212319433088, "grad_norm": 0.3671875, "learning_rate": 1.7449567465112266e-05, "loss": 0.6506, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2269 }, { "epoch": 0.30934859634777867, "grad_norm": 0.40234375, "learning_rate": 1.7446392615434127e-05, "loss": 0.7065, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2270 }, { "epoch": 0.3094848732624693, "grad_norm": 0.3671875, "learning_rate": 1.7443216080122798e-05, "loss": 0.7536, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2271 }, { "epoch": 0.30962115017715997, "grad_norm": 0.3515625, "learning_rate": 1.744003785989735e-05, "loss": 0.6909, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2272 }, { "epoch": 0.30975742709185067, "grad_norm": 0.267578125, "learning_rate": 1.7436857955477232e-05, "loss": 0.6616, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2273 }, { "epoch": 0.3098937040065413, "grad_norm": 0.33203125, "learning_rate": 1.7433676367582283e-05, "loss": 0.7365, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2274 }, { "epoch": 0.31002998092123196, "grad_norm": 0.578125, "learning_rate": 1.7430493096932705e-05, "loss": 0.6919, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2275 }, { "epoch": 0.3101662578359226, "grad_norm": 0.287109375, "learning_rate": 1.7427308144249098e-05, "loss": 0.7112, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2276 }, { "epoch": 0.31030253475061326, "grad_norm": 0.30859375, "learning_rate": 1.742412151025244e-05, "loss": 0.7029, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2277 }, { "epoch": 0.3104388116653039, "grad_norm": 0.37890625, "learning_rate": 1.7420933195664084e-05, "loss": 0.6891, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2278 }, { "epoch": 0.31057508857999455, "grad_norm": 0.3203125, "learning_rate": 1.741774320120576e-05, "loss": 0.7692, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2279 }, { "epoch": 0.3107113654946852, "grad_norm": 0.5390625, "learning_rate": 1.7414551527599594e-05, "loss": 0.6813, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2280 }, { "epoch": 0.31084764240937585, "grad_norm": 0.48828125, "learning_rate": 1.7411358175568076e-05, "loss": 0.7273, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2281 }, { "epoch": 0.3109839193240665, "grad_norm": 0.296875, "learning_rate": 1.7408163145834085e-05, "loss": 0.6954, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2282 }, { "epoch": 0.31112019623875714, "grad_norm": 0.423828125, "learning_rate": 1.7404966439120878e-05, "loss": 0.7808, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2283 }, { "epoch": 0.3112564731534478, "grad_norm": 0.294921875, "learning_rate": 1.7401768056152083e-05, "loss": 0.682, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2284 }, { "epoch": 0.31139275006813844, "grad_norm": 0.298828125, "learning_rate": 1.7398567997651725e-05, "loss": 0.709, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2285 }, { "epoch": 0.3115290269828291, "grad_norm": 0.314453125, "learning_rate": 1.7395366264344193e-05, "loss": 0.7039, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2286 }, { "epoch": 0.3116653038975198, "grad_norm": 0.6171875, "learning_rate": 1.739216285695426e-05, "loss": 0.7359, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2287 }, { "epoch": 0.31180158081221043, "grad_norm": 0.294921875, "learning_rate": 1.7388957776207083e-05, "loss": 0.705, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2288 }, { "epoch": 0.3119378577269011, "grad_norm": 0.37890625, "learning_rate": 1.7385751022828187e-05, "loss": 0.759, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2289 }, { "epoch": 0.3120741346415917, "grad_norm": 0.29296875, "learning_rate": 1.7382542597543485e-05, "loss": 0.6791, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2290 }, { "epoch": 0.3122104115562824, "grad_norm": 0.328125, "learning_rate": 1.737933250107927e-05, "loss": 0.6868, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2291 }, { "epoch": 0.312346688470973, "grad_norm": 0.466796875, "learning_rate": 1.7376120734162198e-05, "loss": 0.8439, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2292 }, { "epoch": 0.31248296538566367, "grad_norm": 0.322265625, "learning_rate": 1.737290729751932e-05, "loss": 0.6999, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2293 }, { "epoch": 0.3126192423003543, "grad_norm": 0.28515625, "learning_rate": 1.7369692191878064e-05, "loss": 0.7118, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2294 }, { "epoch": 0.31275551921504496, "grad_norm": 0.341796875, "learning_rate": 1.736647541796622e-05, "loss": 0.7657, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2295 }, { "epoch": 0.3128917961297356, "grad_norm": 0.46875, "learning_rate": 1.7363256976511972e-05, "loss": 0.7835, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2296 }, { "epoch": 0.31302807304442626, "grad_norm": 0.2734375, "learning_rate": 1.736003686824388e-05, "loss": 0.6895, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2297 }, { "epoch": 0.3131643499591169, "grad_norm": 0.28125, "learning_rate": 1.7356815093890865e-05, "loss": 0.699, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2298 }, { "epoch": 0.31330062687380755, "grad_norm": 0.30078125, "learning_rate": 1.735359165418225e-05, "loss": 0.6138, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2299 }, { "epoch": 0.31343690378849826, "grad_norm": 0.31640625, "learning_rate": 1.7350366549847714e-05, "loss": 0.785, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2300 }, { "epoch": 0.3135731807031889, "grad_norm": 0.44921875, "learning_rate": 1.7347139781617323e-05, "loss": 0.7623, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2301 }, { "epoch": 0.31370945761787955, "grad_norm": 0.33203125, "learning_rate": 1.734391135022152e-05, "loss": 0.7146, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2302 }, { "epoch": 0.3138457345325702, "grad_norm": 0.3671875, "learning_rate": 1.7340681256391116e-05, "loss": 0.8042, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2303 }, { "epoch": 0.31398201144726084, "grad_norm": 0.3203125, "learning_rate": 1.7337449500857312e-05, "loss": 0.7298, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2304 }, { "epoch": 0.3141182883619515, "grad_norm": 0.322265625, "learning_rate": 1.7334216084351672e-05, "loss": 0.8022, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2305 }, { "epoch": 0.31425456527664214, "grad_norm": 0.359375, "learning_rate": 1.7330981007606148e-05, "loss": 0.6991, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2306 }, { "epoch": 0.3143908421913328, "grad_norm": 0.294921875, "learning_rate": 1.732774427135305e-05, "loss": 0.6686, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2307 }, { "epoch": 0.31452711910602343, "grad_norm": 0.27734375, "learning_rate": 1.7324505876325085e-05, "loss": 0.6715, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2308 }, { "epoch": 0.3146633960207141, "grad_norm": 0.439453125, "learning_rate": 1.7321265823255324e-05, "loss": 0.7062, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2309 }, { "epoch": 0.31479967293540473, "grad_norm": 0.294921875, "learning_rate": 1.7318024112877215e-05, "loss": 0.765, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2310 }, { "epoch": 0.3149359498500954, "grad_norm": 0.37890625, "learning_rate": 1.7314780745924577e-05, "loss": 0.7718, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2311 }, { "epoch": 0.315072226764786, "grad_norm": 0.29296875, "learning_rate": 1.7311535723131608e-05, "loss": 0.728, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2312 }, { "epoch": 0.31520850367947667, "grad_norm": 0.32421875, "learning_rate": 1.7308289045232886e-05, "loss": 0.7542, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2313 }, { "epoch": 0.3153447805941674, "grad_norm": 0.27734375, "learning_rate": 1.730504071296336e-05, "loss": 0.7052, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2314 }, { "epoch": 0.315481057508858, "grad_norm": 0.2890625, "learning_rate": 1.7301790727058344e-05, "loss": 0.738, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2315 }, { "epoch": 0.31561733442354867, "grad_norm": 0.365234375, "learning_rate": 1.7298539088253542e-05, "loss": 0.7663, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2316 }, { "epoch": 0.3157536113382393, "grad_norm": 0.33203125, "learning_rate": 1.7295285797285014e-05, "loss": 0.7114, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2317 }, { "epoch": 0.31588988825292996, "grad_norm": 0.330078125, "learning_rate": 1.729203085488922e-05, "loss": 0.7144, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2318 }, { "epoch": 0.3160261651676206, "grad_norm": 0.271484375, "learning_rate": 1.7288774261802964e-05, "loss": 0.6868, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2319 }, { "epoch": 0.31616244208231126, "grad_norm": 0.310546875, "learning_rate": 1.728551601876345e-05, "loss": 0.6692, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2320 }, { "epoch": 0.3162987189970019, "grad_norm": 0.40625, "learning_rate": 1.728225612650823e-05, "loss": 0.6984, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2321 }, { "epoch": 0.31643499591169255, "grad_norm": 0.34765625, "learning_rate": 1.7278994585775256e-05, "loss": 0.7098, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2322 }, { "epoch": 0.3165712728263832, "grad_norm": 0.287109375, "learning_rate": 1.7275731397302833e-05, "loss": 0.7166, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2323 }, { "epoch": 0.31670754974107385, "grad_norm": 0.26171875, "learning_rate": 1.7272466561829647e-05, "loss": 0.6117, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2324 }, { "epoch": 0.3168438266557645, "grad_norm": 0.32421875, "learning_rate": 1.726920008009476e-05, "loss": 0.6859, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2325 }, { "epoch": 0.31698010357045514, "grad_norm": 0.33203125, "learning_rate": 1.7265931952837593e-05, "loss": 0.7123, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2326 }, { "epoch": 0.31711638048514584, "grad_norm": 0.294921875, "learning_rate": 1.726266218079796e-05, "loss": 0.7097, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2327 }, { "epoch": 0.3172526573998365, "grad_norm": 0.35546875, "learning_rate": 1.7259390764716028e-05, "loss": 0.7228, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2328 }, { "epoch": 0.31738893431452714, "grad_norm": 0.39453125, "learning_rate": 1.725611770533235e-05, "loss": 0.7499, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2329 }, { "epoch": 0.3175252112292178, "grad_norm": 0.2734375, "learning_rate": 1.725284300338784e-05, "loss": 0.7386, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2330 }, { "epoch": 0.31766148814390843, "grad_norm": 0.3515625, "learning_rate": 1.7249566659623796e-05, "loss": 0.7057, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2331 }, { "epoch": 0.3177977650585991, "grad_norm": 0.279296875, "learning_rate": 1.7246288674781877e-05, "loss": 0.6772, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2332 }, { "epoch": 0.3179340419732897, "grad_norm": 0.326171875, "learning_rate": 1.7243009049604115e-05, "loss": 0.7604, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2333 }, { "epoch": 0.3180703188879804, "grad_norm": 0.3828125, "learning_rate": 1.7239727784832923e-05, "loss": 0.7689, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2334 }, { "epoch": 0.318206595802671, "grad_norm": 0.4140625, "learning_rate": 1.7236444881211072e-05, "loss": 0.7305, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2335 }, { "epoch": 0.31834287271736167, "grad_norm": 0.322265625, "learning_rate": 1.7233160339481715e-05, "loss": 0.7434, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2336 }, { "epoch": 0.3184791496320523, "grad_norm": 0.318359375, "learning_rate": 1.7229874160388363e-05, "loss": 0.7009, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2337 }, { "epoch": 0.31861542654674296, "grad_norm": 0.36328125, "learning_rate": 1.722658634467491e-05, "loss": 0.7534, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2338 }, { "epoch": 0.3187517034614336, "grad_norm": 0.3359375, "learning_rate": 1.722329689308562e-05, "loss": 0.7859, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2339 }, { "epoch": 0.31888798037612426, "grad_norm": 0.322265625, "learning_rate": 1.7220005806365118e-05, "loss": 0.7277, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2340 }, { "epoch": 0.31902425729081496, "grad_norm": 0.27734375, "learning_rate": 1.7216713085258402e-05, "loss": 0.6815, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2341 }, { "epoch": 0.3191605342055056, "grad_norm": 0.25390625, "learning_rate": 1.721341873051085e-05, "loss": 0.713, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2342 }, { "epoch": 0.31929681112019626, "grad_norm": 0.322265625, "learning_rate": 1.7210122742868193e-05, "loss": 0.6908, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2343 }, { "epoch": 0.3194330880348869, "grad_norm": 0.365234375, "learning_rate": 1.7206825123076548e-05, "loss": 0.731, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2344 }, { "epoch": 0.31956936494957755, "grad_norm": 0.306640625, "learning_rate": 1.7203525871882394e-05, "loss": 0.7261, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2345 }, { "epoch": 0.3197056418642682, "grad_norm": 0.431640625, "learning_rate": 1.7200224990032577e-05, "loss": 0.6575, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2346 }, { "epoch": 0.31984191877895884, "grad_norm": 0.318359375, "learning_rate": 1.719692247827431e-05, "loss": 0.7091, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2347 }, { "epoch": 0.3199781956936495, "grad_norm": 0.41796875, "learning_rate": 1.7193618337355188e-05, "loss": 0.7174, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2348 }, { "epoch": 0.32011447260834014, "grad_norm": 0.255859375, "learning_rate": 1.7190312568023164e-05, "loss": 0.6862, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2349 }, { "epoch": 0.3202507495230308, "grad_norm": 0.4453125, "learning_rate": 1.718700517102656e-05, "loss": 0.7103, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2350 }, { "epoch": 0.32038702643772143, "grad_norm": 0.357421875, "learning_rate": 1.718369614711407e-05, "loss": 0.6744, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2351 }, { "epoch": 0.3205233033524121, "grad_norm": 0.349609375, "learning_rate": 1.7180385497034754e-05, "loss": 0.7235, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2352 }, { "epoch": 0.32065958026710273, "grad_norm": 0.609375, "learning_rate": 1.717707322153804e-05, "loss": 0.6742, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2353 }, { "epoch": 0.32079585718179343, "grad_norm": 0.494140625, "learning_rate": 1.7173759321373725e-05, "loss": 0.8357, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2354 }, { "epoch": 0.3209321340964841, "grad_norm": 0.30078125, "learning_rate": 1.7170443797291976e-05, "loss": 0.6973, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2355 }, { "epoch": 0.3210684110111747, "grad_norm": 0.30078125, "learning_rate": 1.7167126650043324e-05, "loss": 0.7707, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2356 }, { "epoch": 0.3212046879258654, "grad_norm": 0.265625, "learning_rate": 1.7163807880378668e-05, "loss": 0.7057, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2357 }, { "epoch": 0.321340964840556, "grad_norm": 0.306640625, "learning_rate": 1.7160487489049275e-05, "loss": 0.748, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2358 }, { "epoch": 0.32147724175524667, "grad_norm": 0.349609375, "learning_rate": 1.7157165476806782e-05, "loss": 0.7946, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2359 }, { "epoch": 0.3216135186699373, "grad_norm": 0.9609375, "learning_rate": 1.715384184440318e-05, "loss": 0.8144, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2360 }, { "epoch": 0.32174979558462796, "grad_norm": 0.390625, "learning_rate": 1.715051659259085e-05, "loss": 0.7531, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2361 }, { "epoch": 0.3218860724993186, "grad_norm": 0.6640625, "learning_rate": 1.714718972212252e-05, "loss": 0.7264, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2362 }, { "epoch": 0.32202234941400926, "grad_norm": 0.328125, "learning_rate": 1.7143861233751292e-05, "loss": 0.722, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2363 }, { "epoch": 0.3221586263286999, "grad_norm": 0.263671875, "learning_rate": 1.714053112823063e-05, "loss": 0.6915, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2364 }, { "epoch": 0.32229490324339055, "grad_norm": 0.345703125, "learning_rate": 1.7137199406314366e-05, "loss": 0.6792, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2365 }, { "epoch": 0.3224311801580812, "grad_norm": 0.28125, "learning_rate": 1.7133866068756703e-05, "loss": 0.7029, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2366 }, { "epoch": 0.32256745707277185, "grad_norm": 0.44921875, "learning_rate": 1.7130531116312202e-05, "loss": 0.8054, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2367 }, { "epoch": 0.32270373398746255, "grad_norm": 0.263671875, "learning_rate": 1.7127194549735802e-05, "loss": 0.6718, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2368 }, { "epoch": 0.3228400109021532, "grad_norm": 0.39453125, "learning_rate": 1.7123856369782784e-05, "loss": 0.8226, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2369 }, { "epoch": 0.32297628781684384, "grad_norm": 0.33203125, "learning_rate": 1.7120516577208827e-05, "loss": 0.737, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2370 }, { "epoch": 0.3231125647315345, "grad_norm": 0.283203125, "learning_rate": 1.7117175172769935e-05, "loss": 0.7769, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2371 }, { "epoch": 0.32324884164622514, "grad_norm": 0.37109375, "learning_rate": 1.7113832157222518e-05, "loss": 0.7126, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2372 }, { "epoch": 0.3233851185609158, "grad_norm": 0.361328125, "learning_rate": 1.711048753132332e-05, "loss": 0.6676, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2373 }, { "epoch": 0.32352139547560643, "grad_norm": 0.298828125, "learning_rate": 1.7107141295829465e-05, "loss": 0.7076, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2374 }, { "epoch": 0.3236576723902971, "grad_norm": 0.306640625, "learning_rate": 1.7103793451498442e-05, "loss": 0.7097, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2375 }, { "epoch": 0.3237939493049877, "grad_norm": 0.314453125, "learning_rate": 1.7100443999088088e-05, "loss": 0.6765, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2376 }, { "epoch": 0.3239302262196784, "grad_norm": 0.275390625, "learning_rate": 1.7097092939356622e-05, "loss": 0.719, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2377 }, { "epoch": 0.324066503134369, "grad_norm": 0.306640625, "learning_rate": 1.7093740273062624e-05, "loss": 0.7664, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2378 }, { "epoch": 0.32420278004905967, "grad_norm": 0.294921875, "learning_rate": 1.7090386000965028e-05, "loss": 0.7102, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2379 }, { "epoch": 0.3243390569637503, "grad_norm": 0.349609375, "learning_rate": 1.7087030123823142e-05, "loss": 0.716, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2380 }, { "epoch": 0.324475333878441, "grad_norm": 0.345703125, "learning_rate": 1.7083672642396632e-05, "loss": 0.7244, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2381 }, { "epoch": 0.32461161079313167, "grad_norm": 0.435546875, "learning_rate": 1.7080313557445524e-05, "loss": 0.7132, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2382 }, { "epoch": 0.3247478877078223, "grad_norm": 0.25, "learning_rate": 1.7076952869730213e-05, "loss": 0.6829, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2383 }, { "epoch": 0.32488416462251296, "grad_norm": 0.255859375, "learning_rate": 1.707359058001146e-05, "loss": 0.6721, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2384 }, { "epoch": 0.3250204415372036, "grad_norm": 0.419921875, "learning_rate": 1.7070226689050375e-05, "loss": 0.8074, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2385 }, { "epoch": 0.32515671845189426, "grad_norm": 0.427734375, "learning_rate": 1.7066861197608444e-05, "loss": 0.6597, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2386 }, { "epoch": 0.3252929953665849, "grad_norm": 0.328125, "learning_rate": 1.7063494106447512e-05, "loss": 0.7005, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2387 }, { "epoch": 0.32542927228127555, "grad_norm": 0.31640625, "learning_rate": 1.706012541632978e-05, "loss": 0.7253, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2388 }, { "epoch": 0.3255655491959662, "grad_norm": 0.44140625, "learning_rate": 1.7056755128017818e-05, "loss": 0.6787, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2389 }, { "epoch": 0.32570182611065684, "grad_norm": 0.236328125, "learning_rate": 1.7053383242274556e-05, "loss": 0.7468, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2390 }, { "epoch": 0.3258381030253475, "grad_norm": 0.306640625, "learning_rate": 1.705000975986328e-05, "loss": 0.7286, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2391 }, { "epoch": 0.32597437994003814, "grad_norm": 0.28515625, "learning_rate": 1.7046634681547646e-05, "loss": 0.7377, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2392 }, { "epoch": 0.3261106568547288, "grad_norm": 0.28515625, "learning_rate": 1.7043258008091667e-05, "loss": 0.7266, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2393 }, { "epoch": 0.32624693376941943, "grad_norm": 0.2255859375, "learning_rate": 1.7039879740259716e-05, "loss": 0.7022, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2394 }, { "epoch": 0.32638321068411014, "grad_norm": 0.34375, "learning_rate": 1.703649987881653e-05, "loss": 0.7043, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2395 }, { "epoch": 0.3265194875988008, "grad_norm": 0.34375, "learning_rate": 1.7033118424527208e-05, "loss": 0.7469, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2396 }, { "epoch": 0.32665576451349143, "grad_norm": 0.33203125, "learning_rate": 1.70297353781572e-05, "loss": 0.6769, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2397 }, { "epoch": 0.3267920414281821, "grad_norm": 0.41796875, "learning_rate": 1.702635074047233e-05, "loss": 0.7792, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2398 }, { "epoch": 0.3269283183428727, "grad_norm": 0.357421875, "learning_rate": 1.702296451223877e-05, "loss": 0.6671, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2399 }, { "epoch": 0.3270645952575634, "grad_norm": 0.255859375, "learning_rate": 1.701957669422306e-05, "loss": 0.7156, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2400 }, { "epoch": 0.327200872172254, "grad_norm": 0.3125, "learning_rate": 1.7016187287192097e-05, "loss": 0.6537, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2401 }, { "epoch": 0.32733714908694467, "grad_norm": 0.26953125, "learning_rate": 1.7012796291913137e-05, "loss": 0.7277, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2402 }, { "epoch": 0.3274734260016353, "grad_norm": 0.2490234375, "learning_rate": 1.70094037091538e-05, "loss": 0.6907, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2403 }, { "epoch": 0.32760970291632596, "grad_norm": 0.3515625, "learning_rate": 1.700600953968206e-05, "loss": 0.788, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2404 }, { "epoch": 0.3277459798310166, "grad_norm": 0.408203125, "learning_rate": 1.700261378426625e-05, "loss": 0.7476, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2405 }, { "epoch": 0.32788225674570726, "grad_norm": 0.353515625, "learning_rate": 1.6999216443675064e-05, "loss": 0.665, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2406 }, { "epoch": 0.3280185336603979, "grad_norm": 0.3671875, "learning_rate": 1.699581751867756e-05, "loss": 0.7185, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2407 }, { "epoch": 0.3281548105750886, "grad_norm": 0.44921875, "learning_rate": 1.6992417010043144e-05, "loss": 0.7876, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2408 }, { "epoch": 0.32829108748977925, "grad_norm": 0.298828125, "learning_rate": 1.6989014918541587e-05, "loss": 0.7953, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2409 }, { "epoch": 0.3284273644044699, "grad_norm": 0.419921875, "learning_rate": 1.6985611244943018e-05, "loss": 0.8368, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2410 }, { "epoch": 0.32856364131916055, "grad_norm": 0.251953125, "learning_rate": 1.6982205990017928e-05, "loss": 0.7624, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2411 }, { "epoch": 0.3286999182338512, "grad_norm": 0.404296875, "learning_rate": 1.6978799154537154e-05, "loss": 0.692, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2412 }, { "epoch": 0.32883619514854184, "grad_norm": 0.34765625, "learning_rate": 1.69753907392719e-05, "loss": 0.7535, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2413 }, { "epoch": 0.3289724720632325, "grad_norm": 0.31640625, "learning_rate": 1.6971980744993736e-05, "loss": 0.7838, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2414 }, { "epoch": 0.32910874897792314, "grad_norm": 0.28515625, "learning_rate": 1.6968569172474564e-05, "loss": 0.7157, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2415 }, { "epoch": 0.3292450258926138, "grad_norm": 0.37109375, "learning_rate": 1.696515602248667e-05, "loss": 0.8109, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2416 }, { "epoch": 0.32938130280730443, "grad_norm": 0.365234375, "learning_rate": 1.6961741295802675e-05, "loss": 0.7184, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2417 }, { "epoch": 0.3295175797219951, "grad_norm": 0.349609375, "learning_rate": 1.695832499319558e-05, "loss": 0.7028, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2418 }, { "epoch": 0.3296538566366857, "grad_norm": 0.31640625, "learning_rate": 1.6954907115438724e-05, "loss": 0.7207, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2419 }, { "epoch": 0.3297901335513764, "grad_norm": 0.28125, "learning_rate": 1.6951487663305805e-05, "loss": 0.7155, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2420 }, { "epoch": 0.329926410466067, "grad_norm": 0.322265625, "learning_rate": 1.694806663757089e-05, "loss": 0.6909, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2421 }, { "epoch": 0.3300626873807577, "grad_norm": 0.34765625, "learning_rate": 1.6944644039008385e-05, "loss": 0.7112, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2422 }, { "epoch": 0.33019896429544837, "grad_norm": 0.41796875, "learning_rate": 1.694121986839307e-05, "loss": 0.7765, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2423 }, { "epoch": 0.330335241210139, "grad_norm": 0.29296875, "learning_rate": 1.693779412650006e-05, "loss": 0.7263, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2424 }, { "epoch": 0.33047151812482967, "grad_norm": 0.27734375, "learning_rate": 1.693436681410485e-05, "loss": 0.7153, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2425 }, { "epoch": 0.3306077950395203, "grad_norm": 0.26171875, "learning_rate": 1.6930937931983266e-05, "loss": 0.7153, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2426 }, { "epoch": 0.33074407195421096, "grad_norm": 0.388671875, "learning_rate": 1.6927507480911507e-05, "loss": 0.7577, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2427 }, { "epoch": 0.3308803488689016, "grad_norm": 0.55859375, "learning_rate": 1.6924075461666117e-05, "loss": 0.804, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2428 }, { "epoch": 0.33101662578359226, "grad_norm": 0.302734375, "learning_rate": 1.6920641875024006e-05, "loss": 0.7078, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2429 }, { "epoch": 0.3311529026982829, "grad_norm": 0.349609375, "learning_rate": 1.6917206721762423e-05, "loss": 0.7161, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2430 }, { "epoch": 0.33128917961297355, "grad_norm": 0.4140625, "learning_rate": 1.691377000265899e-05, "loss": 0.7577, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2431 }, { "epoch": 0.3314254565276642, "grad_norm": 0.84765625, "learning_rate": 1.6910331718491667e-05, "loss": 0.7664, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2432 }, { "epoch": 0.33156173344235484, "grad_norm": 0.4375, "learning_rate": 1.6906891870038783e-05, "loss": 0.7429, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2433 }, { "epoch": 0.3316980103570455, "grad_norm": 0.2333984375, "learning_rate": 1.6903450458079e-05, "loss": 0.7761, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2434 }, { "epoch": 0.3318342872717362, "grad_norm": 0.2578125, "learning_rate": 1.6900007483391362e-05, "loss": 0.7026, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2435 }, { "epoch": 0.33197056418642684, "grad_norm": 0.2734375, "learning_rate": 1.689656294675524e-05, "loss": 0.6567, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2436 }, { "epoch": 0.3321068411011175, "grad_norm": 0.35546875, "learning_rate": 1.6893116848950382e-05, "loss": 0.7146, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2437 }, { "epoch": 0.33224311801580814, "grad_norm": 0.2734375, "learning_rate": 1.688966919075687e-05, "loss": 0.7133, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2438 }, { "epoch": 0.3323793949304988, "grad_norm": 0.310546875, "learning_rate": 1.688621997295515e-05, "loss": 0.7822, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2439 }, { "epoch": 0.33251567184518943, "grad_norm": 0.33203125, "learning_rate": 1.6882769196326014e-05, "loss": 0.7556, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2440 }, { "epoch": 0.3326519487598801, "grad_norm": 0.3984375, "learning_rate": 1.6879316861650615e-05, "loss": 0.6822, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2441 }, { "epoch": 0.3327882256745707, "grad_norm": 0.306640625, "learning_rate": 1.687586296971046e-05, "loss": 0.7359, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2442 }, { "epoch": 0.3329245025892614, "grad_norm": 0.3046875, "learning_rate": 1.6872407521287393e-05, "loss": 0.8048, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2443 }, { "epoch": 0.333060779503952, "grad_norm": 0.34765625, "learning_rate": 1.6868950517163627e-05, "loss": 0.8099, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2444 }, { "epoch": 0.33319705641864267, "grad_norm": 0.7734375, "learning_rate": 1.6865491958121723e-05, "loss": 0.7517, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2445 }, { "epoch": 0.3333333333333333, "grad_norm": 0.396484375, "learning_rate": 1.6862031844944588e-05, "loss": 0.7232, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2446 }, { "epoch": 0.33346961024802396, "grad_norm": 0.28515625, "learning_rate": 1.6858570178415482e-05, "loss": 0.7555, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2447 }, { "epoch": 0.3336058871627146, "grad_norm": 0.275390625, "learning_rate": 1.6855106959318027e-05, "loss": 0.7055, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2448 }, { "epoch": 0.3337421640774053, "grad_norm": 0.333984375, "learning_rate": 1.6851642188436182e-05, "loss": 0.73, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2449 }, { "epoch": 0.33387844099209596, "grad_norm": 0.56640625, "learning_rate": 1.6848175866554272e-05, "loss": 0.8079, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2450 }, { "epoch": 0.3340147179067866, "grad_norm": 0.314453125, "learning_rate": 1.6844707994456955e-05, "loss": 0.7506, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2451 }, { "epoch": 0.33415099482147725, "grad_norm": 0.36328125, "learning_rate": 1.6841238572929258e-05, "loss": 0.758, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2452 }, { "epoch": 0.3342872717361679, "grad_norm": 0.28515625, "learning_rate": 1.6837767602756546e-05, "loss": 0.7018, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2453 }, { "epoch": 0.33442354865085855, "grad_norm": 0.291015625, "learning_rate": 1.683429508472454e-05, "loss": 0.7297, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2454 }, { "epoch": 0.3345598255655492, "grad_norm": 0.302734375, "learning_rate": 1.683082101961931e-05, "loss": 0.7458, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2455 }, { "epoch": 0.33469610248023984, "grad_norm": 0.421875, "learning_rate": 1.6827345408227285e-05, "loss": 0.7848, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2456 }, { "epoch": 0.3348323793949305, "grad_norm": 0.361328125, "learning_rate": 1.6823868251335227e-05, "loss": 0.7274, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2457 }, { "epoch": 0.33496865630962114, "grad_norm": 0.384765625, "learning_rate": 1.682038954973026e-05, "loss": 0.6762, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2458 }, { "epoch": 0.3351049332243118, "grad_norm": 0.306640625, "learning_rate": 1.6816909304199855e-05, "loss": 0.7404, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2459 }, { "epoch": 0.33524121013900243, "grad_norm": 0.29296875, "learning_rate": 1.6813427515531832e-05, "loss": 0.7111, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2460 }, { "epoch": 0.3353774870536931, "grad_norm": 0.302734375, "learning_rate": 1.680994418451436e-05, "loss": 0.6711, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2461 }, { "epoch": 0.3355137639683838, "grad_norm": 0.2470703125, "learning_rate": 1.6806459311935953e-05, "loss": 0.6744, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2462 }, { "epoch": 0.33565004088307443, "grad_norm": 0.2578125, "learning_rate": 1.6802972898585488e-05, "loss": 0.6793, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2463 }, { "epoch": 0.3357863177977651, "grad_norm": 0.375, "learning_rate": 1.6799484945252174e-05, "loss": 0.6845, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2464 }, { "epoch": 0.3359225947124557, "grad_norm": 0.29296875, "learning_rate": 1.6795995452725574e-05, "loss": 0.7292, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2465 }, { "epoch": 0.33605887162714637, "grad_norm": 0.298828125, "learning_rate": 1.679250442179561e-05, "loss": 0.7875, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2466 }, { "epoch": 0.336195148541837, "grad_norm": 0.2373046875, "learning_rate": 1.6789011853252542e-05, "loss": 0.695, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2467 }, { "epoch": 0.33633142545652767, "grad_norm": 0.2451171875, "learning_rate": 1.678551774788697e-05, "loss": 0.7365, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2468 }, { "epoch": 0.3364677023712183, "grad_norm": 0.337890625, "learning_rate": 1.678202210648986e-05, "loss": 0.7162, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2469 }, { "epoch": 0.33660397928590896, "grad_norm": 0.376953125, "learning_rate": 1.6778524929852513e-05, "loss": 0.6852, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2470 }, { "epoch": 0.3367402562005996, "grad_norm": 0.3125, "learning_rate": 1.6775026218766586e-05, "loss": 0.646, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2471 }, { "epoch": 0.33687653311529026, "grad_norm": 0.29296875, "learning_rate": 1.6771525974024076e-05, "loss": 0.6745, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2472 }, { "epoch": 0.3370128100299809, "grad_norm": 0.310546875, "learning_rate": 1.6768024196417333e-05, "loss": 0.738, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2473 }, { "epoch": 0.33714908694467155, "grad_norm": 0.34765625, "learning_rate": 1.6764520886739046e-05, "loss": 0.7039, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2474 }, { "epoch": 0.3372853638593622, "grad_norm": 0.43359375, "learning_rate": 1.6761016045782264e-05, "loss": 0.7313, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2475 }, { "epoch": 0.3374216407740529, "grad_norm": 0.37109375, "learning_rate": 1.6757509674340363e-05, "loss": 0.8029, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2476 }, { "epoch": 0.33755791768874355, "grad_norm": 1.015625, "learning_rate": 1.675400177320709e-05, "loss": 0.7713, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2477 }, { "epoch": 0.3376941946034342, "grad_norm": 0.498046875, "learning_rate": 1.6750492343176516e-05, "loss": 0.7405, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2478 }, { "epoch": 0.33783047151812484, "grad_norm": 0.265625, "learning_rate": 1.6746981385043074e-05, "loss": 0.6804, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2479 }, { "epoch": 0.3379667484328155, "grad_norm": 0.443359375, "learning_rate": 1.6743468899601532e-05, "loss": 0.8061, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2480 }, { "epoch": 0.33810302534750614, "grad_norm": 0.3046875, "learning_rate": 1.673995488764701e-05, "loss": 0.7578, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2481 }, { "epoch": 0.3382393022621968, "grad_norm": 0.27734375, "learning_rate": 1.6736439349974974e-05, "loss": 0.659, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2482 }, { "epoch": 0.33837557917688743, "grad_norm": 0.26171875, "learning_rate": 1.6732922287381227e-05, "loss": 0.663, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2483 }, { "epoch": 0.3385118560915781, "grad_norm": 0.296875, "learning_rate": 1.6729403700661925e-05, "loss": 0.6475, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2484 }, { "epoch": 0.3386481330062687, "grad_norm": 0.29296875, "learning_rate": 1.6725883590613576e-05, "loss": 0.7043, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2485 }, { "epoch": 0.3387844099209594, "grad_norm": 0.33203125, "learning_rate": 1.672236195803301e-05, "loss": 0.6797, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2486 }, { "epoch": 0.33892068683565, "grad_norm": 0.29296875, "learning_rate": 1.6718838803717428e-05, "loss": 0.7204, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2487 }, { "epoch": 0.33905696375034067, "grad_norm": 0.333984375, "learning_rate": 1.6715314128464358e-05, "loss": 0.6921, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2488 }, { "epoch": 0.33919324066503137, "grad_norm": 0.337890625, "learning_rate": 1.6711787933071673e-05, "loss": 0.8231, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2489 }, { "epoch": 0.339329517579722, "grad_norm": 0.3203125, "learning_rate": 1.6708260218337607e-05, "loss": 0.7888, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2490 }, { "epoch": 0.33946579449441266, "grad_norm": 0.26953125, "learning_rate": 1.670473098506071e-05, "loss": 0.7349, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2491 }, { "epoch": 0.3396020714091033, "grad_norm": 0.298828125, "learning_rate": 1.6701200234039905e-05, "loss": 0.7676, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2492 }, { "epoch": 0.33973834832379396, "grad_norm": 0.314453125, "learning_rate": 1.6697667966074437e-05, "loss": 0.7496, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2493 }, { "epoch": 0.3398746252384846, "grad_norm": 0.322265625, "learning_rate": 1.6694134181963907e-05, "loss": 0.6878, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2494 }, { "epoch": 0.34001090215317525, "grad_norm": 0.34375, "learning_rate": 1.6690598882508253e-05, "loss": 0.7043, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2495 }, { "epoch": 0.3401471790678659, "grad_norm": 0.259765625, "learning_rate": 1.668706206850775e-05, "loss": 0.6948, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2496 }, { "epoch": 0.34028345598255655, "grad_norm": 0.412109375, "learning_rate": 1.668352374076304e-05, "loss": 0.726, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2497 }, { "epoch": 0.3404197328972472, "grad_norm": 0.298828125, "learning_rate": 1.6679983900075075e-05, "loss": 0.7148, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2498 }, { "epoch": 0.34055600981193784, "grad_norm": 0.4140625, "learning_rate": 1.667644254724517e-05, "loss": 0.7346, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2499 }, { "epoch": 0.3406922867266285, "grad_norm": 0.283203125, "learning_rate": 1.6672899683074987e-05, "loss": 0.6922, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2500 }, { "epoch": 0.34082856364131914, "grad_norm": 0.359375, "learning_rate": 1.666935530836651e-05, "loss": 0.7376, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2501 }, { "epoch": 0.3409648405560098, "grad_norm": 0.3359375, "learning_rate": 1.6665809423922077e-05, "loss": 0.6956, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2502 }, { "epoch": 0.3411011174707005, "grad_norm": 0.27734375, "learning_rate": 1.6662262030544375e-05, "loss": 0.776, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2503 }, { "epoch": 0.34123739438539114, "grad_norm": 0.27734375, "learning_rate": 1.6658713129036412e-05, "loss": 0.747, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2504 }, { "epoch": 0.3413736713000818, "grad_norm": 0.302734375, "learning_rate": 1.665516272020156e-05, "loss": 0.7694, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2505 }, { "epoch": 0.34150994821477243, "grad_norm": 0.27734375, "learning_rate": 1.6651610804843516e-05, "loss": 0.7336, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2506 }, { "epoch": 0.3416462251294631, "grad_norm": 0.404296875, "learning_rate": 1.664805738376633e-05, "loss": 0.7463, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2507 }, { "epoch": 0.3417825020441537, "grad_norm": 0.34765625, "learning_rate": 1.6644502457774377e-05, "loss": 0.678, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2508 }, { "epoch": 0.34191877895884437, "grad_norm": 0.265625, "learning_rate": 1.6640946027672395e-05, "loss": 0.6962, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2509 }, { "epoch": 0.342055055873535, "grad_norm": 0.345703125, "learning_rate": 1.6637388094265438e-05, "loss": 0.7045, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2510 }, { "epoch": 0.34219133278822567, "grad_norm": 0.3125, "learning_rate": 1.6633828658358916e-05, "loss": 0.6961, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2511 }, { "epoch": 0.3423276097029163, "grad_norm": 0.3125, "learning_rate": 1.6630267720758575e-05, "loss": 0.7955, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2512 }, { "epoch": 0.34246388661760696, "grad_norm": 0.32421875, "learning_rate": 1.662670528227051e-05, "loss": 0.659, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2513 }, { "epoch": 0.3426001635322976, "grad_norm": 0.447265625, "learning_rate": 1.6623141343701134e-05, "loss": 0.7792, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2514 }, { "epoch": 0.34273644044698826, "grad_norm": 0.3359375, "learning_rate": 1.6619575905857218e-05, "loss": 0.6979, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2515 }, { "epoch": 0.34287271736167896, "grad_norm": 0.34375, "learning_rate": 1.661600896954587e-05, "loss": 0.7362, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2516 }, { "epoch": 0.3430089942763696, "grad_norm": 0.5078125, "learning_rate": 1.6612440535574528e-05, "loss": 0.6496, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2517 }, { "epoch": 0.34314527119106025, "grad_norm": 0.2080078125, "learning_rate": 1.660887060475098e-05, "loss": 0.5857, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2518 }, { "epoch": 0.3432815481057509, "grad_norm": 0.28515625, "learning_rate": 1.6605299177883345e-05, "loss": 0.731, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2519 }, { "epoch": 0.34341782502044155, "grad_norm": 0.384765625, "learning_rate": 1.660172625578009e-05, "loss": 0.7573, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2520 }, { "epoch": 0.3435541019351322, "grad_norm": 0.34765625, "learning_rate": 1.6598151839250004e-05, "loss": 0.7803, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2521 }, { "epoch": 0.34369037884982284, "grad_norm": 0.384765625, "learning_rate": 1.659457592910223e-05, "loss": 0.807, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2522 }, { "epoch": 0.3438266557645135, "grad_norm": 0.34375, "learning_rate": 1.6590998526146244e-05, "loss": 0.7247, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2523 }, { "epoch": 0.34396293267920414, "grad_norm": 0.3203125, "learning_rate": 1.6587419631191864e-05, "loss": 0.6581, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2524 }, { "epoch": 0.3440992095938948, "grad_norm": 0.291015625, "learning_rate": 1.658383924504923e-05, "loss": 0.6947, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2525 }, { "epoch": 0.34423548650858543, "grad_norm": 0.33984375, "learning_rate": 1.6580257368528836e-05, "loss": 0.6947, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2526 }, { "epoch": 0.3443717634232761, "grad_norm": 0.2734375, "learning_rate": 1.6576674002441514e-05, "loss": 0.6723, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2527 }, { "epoch": 0.3445080403379667, "grad_norm": 0.333984375, "learning_rate": 1.6573089147598417e-05, "loss": 0.6456, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2528 }, { "epoch": 0.3446443172526574, "grad_norm": 0.318359375, "learning_rate": 1.6569502804811055e-05, "loss": 0.7051, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2529 }, { "epoch": 0.3447805941673481, "grad_norm": 0.380859375, "learning_rate": 1.656591497489126e-05, "loss": 0.8549, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2530 }, { "epoch": 0.3449168710820387, "grad_norm": 0.298828125, "learning_rate": 1.6562325658651204e-05, "loss": 0.6527, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2531 }, { "epoch": 0.34505314799672937, "grad_norm": 0.296875, "learning_rate": 1.6558734856903406e-05, "loss": 0.7163, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2532 }, { "epoch": 0.34518942491142, "grad_norm": 0.34375, "learning_rate": 1.65551425704607e-05, "loss": 0.8143, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2533 }, { "epoch": 0.34532570182611066, "grad_norm": 0.2578125, "learning_rate": 1.6551548800136277e-05, "loss": 0.795, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2534 }, { "epoch": 0.3454619787408013, "grad_norm": 0.32421875, "learning_rate": 1.6547953546743656e-05, "loss": 0.7165, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2535 }, { "epoch": 0.34559825565549196, "grad_norm": 0.365234375, "learning_rate": 1.6544356811096687e-05, "loss": 0.6934, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2536 }, { "epoch": 0.3457345325701826, "grad_norm": 0.494140625, "learning_rate": 1.654075859400956e-05, "loss": 0.7758, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2537 }, { "epoch": 0.34587080948487325, "grad_norm": 0.3359375, "learning_rate": 1.6537158896296807e-05, "loss": 0.7483, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2538 }, { "epoch": 0.3460070863995639, "grad_norm": 0.283203125, "learning_rate": 1.653355771877328e-05, "loss": 0.6393, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2539 }, { "epoch": 0.34614336331425455, "grad_norm": 0.2470703125, "learning_rate": 1.652995506225418e-05, "loss": 0.6756, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2540 }, { "epoch": 0.3462796402289452, "grad_norm": 0.2890625, "learning_rate": 1.652635092755503e-05, "loss": 0.6565, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2541 }, { "epoch": 0.34641591714363584, "grad_norm": 0.341796875, "learning_rate": 1.6522745315491706e-05, "loss": 0.8223, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2542 }, { "epoch": 0.34655219405832655, "grad_norm": 0.30859375, "learning_rate": 1.6519138226880397e-05, "loss": 0.7139, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2543 }, { "epoch": 0.3466884709730172, "grad_norm": 0.26953125, "learning_rate": 1.6515529662537635e-05, "loss": 0.7039, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2544 }, { "epoch": 0.34682474788770784, "grad_norm": 0.279296875, "learning_rate": 1.65119196232803e-05, "loss": 0.708, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2545 }, { "epoch": 0.3469610248023985, "grad_norm": 0.30078125, "learning_rate": 1.6508308109925582e-05, "loss": 0.7574, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2546 }, { "epoch": 0.34709730171708914, "grad_norm": 0.35546875, "learning_rate": 1.650469512329102e-05, "loss": 0.7182, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2547 }, { "epoch": 0.3472335786317798, "grad_norm": 0.25390625, "learning_rate": 1.6501080664194488e-05, "loss": 0.7254, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2548 }, { "epoch": 0.34736985554647043, "grad_norm": 0.279296875, "learning_rate": 1.6497464733454175e-05, "loss": 0.6726, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2549 }, { "epoch": 0.3475061324611611, "grad_norm": 0.30078125, "learning_rate": 1.6493847331888627e-05, "loss": 0.7515, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2550 }, { "epoch": 0.3476424093758517, "grad_norm": 0.302734375, "learning_rate": 1.6490228460316708e-05, "loss": 0.6973, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2551 }, { "epoch": 0.34777868629054237, "grad_norm": 0.31640625, "learning_rate": 1.6486608119557614e-05, "loss": 0.6759, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2552 }, { "epoch": 0.347914963205233, "grad_norm": 0.30859375, "learning_rate": 1.648298631043089e-05, "loss": 0.7122, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2553 }, { "epoch": 0.34805124011992367, "grad_norm": 0.294921875, "learning_rate": 1.647936303375639e-05, "loss": 0.6723, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2554 }, { "epoch": 0.3481875170346143, "grad_norm": 0.296875, "learning_rate": 1.647573829035432e-05, "loss": 0.7526, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2555 }, { "epoch": 0.34832379394930496, "grad_norm": 0.357421875, "learning_rate": 1.6472112081045204e-05, "loss": 0.7739, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2556 }, { "epoch": 0.34846007086399566, "grad_norm": 0.333984375, "learning_rate": 1.6468484406649906e-05, "loss": 0.7901, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2557 }, { "epoch": 0.3485963477786863, "grad_norm": 0.416015625, "learning_rate": 1.6464855267989623e-05, "loss": 0.6964, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2558 }, { "epoch": 0.34873262469337696, "grad_norm": 0.36328125, "learning_rate": 1.646122466588587e-05, "loss": 0.7088, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2559 }, { "epoch": 0.3488689016080676, "grad_norm": 1.34375, "learning_rate": 1.6457592601160514e-05, "loss": 0.6007, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2560 }, { "epoch": 0.34900517852275825, "grad_norm": 0.37890625, "learning_rate": 1.645395907463574e-05, "loss": 0.681, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2561 }, { "epoch": 0.3491414554374489, "grad_norm": 0.318359375, "learning_rate": 1.6450324087134062e-05, "loss": 0.7648, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2562 }, { "epoch": 0.34927773235213955, "grad_norm": 0.4453125, "learning_rate": 1.644668763947833e-05, "loss": 0.7137, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2563 }, { "epoch": 0.3494140092668302, "grad_norm": 0.50390625, "learning_rate": 1.6443049732491723e-05, "loss": 0.7435, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2564 }, { "epoch": 0.34955028618152084, "grad_norm": 0.263671875, "learning_rate": 1.6439410366997758e-05, "loss": 0.706, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2565 }, { "epoch": 0.3496865630962115, "grad_norm": 0.30859375, "learning_rate": 1.6435769543820263e-05, "loss": 0.7369, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2566 }, { "epoch": 0.34982284001090214, "grad_norm": 0.322265625, "learning_rate": 1.6432127263783412e-05, "loss": 0.7065, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2567 }, { "epoch": 0.3499591169255928, "grad_norm": 0.265625, "learning_rate": 1.6428483527711708e-05, "loss": 0.665, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2568 }, { "epoch": 0.35009539384028343, "grad_norm": 0.26171875, "learning_rate": 1.6424838336429984e-05, "loss": 0.6825, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2569 }, { "epoch": 0.35023167075497413, "grad_norm": 0.55859375, "learning_rate": 1.6421191690763388e-05, "loss": 0.7791, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2570 }, { "epoch": 0.3503679476696648, "grad_norm": 0.55859375, "learning_rate": 1.6417543591537416e-05, "loss": 0.7477, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2571 }, { "epoch": 0.35050422458435543, "grad_norm": 0.251953125, "learning_rate": 1.641389403957788e-05, "loss": 0.6887, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2572 }, { "epoch": 0.3506405014990461, "grad_norm": 0.3046875, "learning_rate": 1.6410243035710928e-05, "loss": 0.6369, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2573 }, { "epoch": 0.3507767784137367, "grad_norm": 0.2890625, "learning_rate": 1.6406590580763037e-05, "loss": 0.7634, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2574 }, { "epoch": 0.35091305532842737, "grad_norm": 0.52734375, "learning_rate": 1.6402936675561004e-05, "loss": 0.7507, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2575 }, { "epoch": 0.351049332243118, "grad_norm": 0.291015625, "learning_rate": 1.6399281320931963e-05, "loss": 0.7875, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2576 }, { "epoch": 0.35118560915780866, "grad_norm": 0.263671875, "learning_rate": 1.6395624517703378e-05, "loss": 0.6856, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2577 }, { "epoch": 0.3513218860724993, "grad_norm": 0.314453125, "learning_rate": 1.6391966266703027e-05, "loss": 0.7519, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2578 }, { "epoch": 0.35145816298718996, "grad_norm": 0.54296875, "learning_rate": 1.6388306568759033e-05, "loss": 0.8319, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2579 }, { "epoch": 0.3515944399018806, "grad_norm": 0.25390625, "learning_rate": 1.6384645424699835e-05, "loss": 0.6565, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2580 }, { "epoch": 0.35173071681657125, "grad_norm": 0.3046875, "learning_rate": 1.6380982835354205e-05, "loss": 0.7111, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2581 }, { "epoch": 0.3518669937312619, "grad_norm": 0.306640625, "learning_rate": 1.6377318801551238e-05, "loss": 0.7791, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2582 }, { "epoch": 0.35200327064595255, "grad_norm": 0.341796875, "learning_rate": 1.637365332412036e-05, "loss": 0.7845, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2583 }, { "epoch": 0.35213954756064325, "grad_norm": 0.5, "learning_rate": 1.6369986403891316e-05, "loss": 0.7489, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2584 }, { "epoch": 0.3522758244753339, "grad_norm": 0.349609375, "learning_rate": 1.636631804169419e-05, "loss": 0.7103, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2585 }, { "epoch": 0.35241210139002455, "grad_norm": 0.318359375, "learning_rate": 1.6362648238359384e-05, "loss": 0.6889, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2586 }, { "epoch": 0.3525483783047152, "grad_norm": 0.458984375, "learning_rate": 1.6358976994717626e-05, "loss": 0.7012, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2587 }, { "epoch": 0.35268465521940584, "grad_norm": 0.390625, "learning_rate": 1.635530431159998e-05, "loss": 0.7178, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2588 }, { "epoch": 0.3528209321340965, "grad_norm": 0.27734375, "learning_rate": 1.6351630189837813e-05, "loss": 0.7405, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2589 }, { "epoch": 0.35295720904878713, "grad_norm": 1.3671875, "learning_rate": 1.6347954630262844e-05, "loss": 0.6824, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2590 }, { "epoch": 0.3530934859634778, "grad_norm": 0.31640625, "learning_rate": 1.6344277633707106e-05, "loss": 0.7374, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2591 }, { "epoch": 0.35322976287816843, "grad_norm": 0.333984375, "learning_rate": 1.6340599201002956e-05, "loss": 0.7325, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2592 }, { "epoch": 0.3533660397928591, "grad_norm": 0.341796875, "learning_rate": 1.6336919332983073e-05, "loss": 0.6938, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2593 }, { "epoch": 0.3535023167075497, "grad_norm": 0.294921875, "learning_rate": 1.6333238030480473e-05, "loss": 0.719, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2594 }, { "epoch": 0.35363859362224037, "grad_norm": 0.302734375, "learning_rate": 1.6329555294328483e-05, "loss": 0.6724, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2595 }, { "epoch": 0.353774870536931, "grad_norm": 0.25, "learning_rate": 1.632587112536076e-05, "loss": 0.7391, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2596 }, { "epoch": 0.3539111474516217, "grad_norm": 0.333984375, "learning_rate": 1.632218552441129e-05, "loss": 0.709, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2597 }, { "epoch": 0.35404742436631237, "grad_norm": 0.333984375, "learning_rate": 1.6318498492314378e-05, "loss": 0.7228, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2598 }, { "epoch": 0.354183701281003, "grad_norm": 0.5625, "learning_rate": 1.6314810029904657e-05, "loss": 0.6875, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2599 }, { "epoch": 0.35431997819569366, "grad_norm": 0.2431640625, "learning_rate": 1.6311120138017075e-05, "loss": 0.6824, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2600 }, { "epoch": 0.3544562551103843, "grad_norm": 0.373046875, "learning_rate": 1.6307428817486912e-05, "loss": 0.7761, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2601 }, { "epoch": 0.35459253202507496, "grad_norm": 0.306640625, "learning_rate": 1.630373606914977e-05, "loss": 0.6951, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2602 }, { "epoch": 0.3547288089397656, "grad_norm": 0.41796875, "learning_rate": 1.6300041893841576e-05, "loss": 0.6501, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2603 }, { "epoch": 0.35486508585445625, "grad_norm": 0.46484375, "learning_rate": 1.6296346292398566e-05, "loss": 0.7407, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2604 }, { "epoch": 0.3550013627691469, "grad_norm": 0.3203125, "learning_rate": 1.6292649265657323e-05, "loss": 0.7439, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2605 }, { "epoch": 0.35513763968383755, "grad_norm": 0.302734375, "learning_rate": 1.628895081445473e-05, "loss": 0.723, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2606 }, { "epoch": 0.3552739165985282, "grad_norm": 0.390625, "learning_rate": 1.6285250939628015e-05, "loss": 0.6941, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2607 }, { "epoch": 0.35541019351321884, "grad_norm": 0.26171875, "learning_rate": 1.6281549642014698e-05, "loss": 0.677, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2608 }, { "epoch": 0.3555464704279095, "grad_norm": 0.29296875, "learning_rate": 1.627784692245265e-05, "loss": 0.6718, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2609 }, { "epoch": 0.35568274734260014, "grad_norm": 0.5390625, "learning_rate": 1.6274142781780045e-05, "loss": 0.6991, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2610 }, { "epoch": 0.35581902425729084, "grad_norm": 0.318359375, "learning_rate": 1.6270437220835398e-05, "loss": 0.7172, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2611 }, { "epoch": 0.3559553011719815, "grad_norm": 0.3984375, "learning_rate": 1.626673024045752e-05, "loss": 0.7393, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2612 }, { "epoch": 0.35609157808667213, "grad_norm": 0.283203125, "learning_rate": 1.6263021841485563e-05, "loss": 0.6719, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2613 }, { "epoch": 0.3562278550013628, "grad_norm": 0.328125, "learning_rate": 1.6259312024758998e-05, "loss": 0.718, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2614 }, { "epoch": 0.35636413191605343, "grad_norm": 0.267578125, "learning_rate": 1.6255600791117606e-05, "loss": 0.6353, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2615 }, { "epoch": 0.3565004088307441, "grad_norm": 0.296875, "learning_rate": 1.6251888141401495e-05, "loss": 0.7357, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2616 }, { "epoch": 0.3566366857454347, "grad_norm": 0.302734375, "learning_rate": 1.62481740764511e-05, "loss": 0.6405, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2617 }, { "epoch": 0.35677296266012537, "grad_norm": 0.291015625, "learning_rate": 1.6244458597107167e-05, "loss": 0.691, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2618 }, { "epoch": 0.356909239574816, "grad_norm": 0.404296875, "learning_rate": 1.6240741704210765e-05, "loss": 0.7008, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2619 }, { "epoch": 0.35704551648950666, "grad_norm": 0.314453125, "learning_rate": 1.6237023398603287e-05, "loss": 0.6495, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2620 }, { "epoch": 0.3571817934041973, "grad_norm": 0.2734375, "learning_rate": 1.6233303681126438e-05, "loss": 0.7382, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2621 }, { "epoch": 0.35731807031888796, "grad_norm": 0.318359375, "learning_rate": 1.6229582552622254e-05, "loss": 0.7723, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2622 }, { "epoch": 0.3574543472335786, "grad_norm": 0.330078125, "learning_rate": 1.6225860013933076e-05, "loss": 0.7464, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2623 }, { "epoch": 0.3575906241482693, "grad_norm": 0.3046875, "learning_rate": 1.6222136065901572e-05, "loss": 0.6978, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2624 }, { "epoch": 0.35772690106295996, "grad_norm": 0.359375, "learning_rate": 1.6218410709370735e-05, "loss": 0.7201, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2625 }, { "epoch": 0.3578631779776506, "grad_norm": 0.244140625, "learning_rate": 1.6214683945183872e-05, "loss": 0.732, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2626 }, { "epoch": 0.35799945489234125, "grad_norm": 0.6875, "learning_rate": 1.6210955774184595e-05, "loss": 0.8167, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2627 }, { "epoch": 0.3581357318070319, "grad_norm": 0.52734375, "learning_rate": 1.620722619721686e-05, "loss": 0.6648, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2628 }, { "epoch": 0.35827200872172255, "grad_norm": 0.26953125, "learning_rate": 1.620349521512492e-05, "loss": 0.7321, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2629 }, { "epoch": 0.3584082856364132, "grad_norm": 0.3359375, "learning_rate": 1.6199762828753353e-05, "loss": 0.7329, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2630 }, { "epoch": 0.35854456255110384, "grad_norm": 0.384765625, "learning_rate": 1.619602903894706e-05, "loss": 0.7782, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2631 }, { "epoch": 0.3586808394657945, "grad_norm": 0.326171875, "learning_rate": 1.6192293846551258e-05, "loss": 0.6606, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2632 }, { "epoch": 0.35881711638048513, "grad_norm": 0.298828125, "learning_rate": 1.6188557252411477e-05, "loss": 0.76, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2633 }, { "epoch": 0.3589533932951758, "grad_norm": 0.31640625, "learning_rate": 1.618481925737356e-05, "loss": 0.6796, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2634 }, { "epoch": 0.35908967020986643, "grad_norm": 0.27734375, "learning_rate": 1.6181079862283683e-05, "loss": 0.682, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2635 }, { "epoch": 0.3592259471245571, "grad_norm": 0.3203125, "learning_rate": 1.6177339067988324e-05, "loss": 0.7561, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2636 }, { "epoch": 0.3593622240392477, "grad_norm": 0.30859375, "learning_rate": 1.6173596875334286e-05, "loss": 0.7365, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2637 }, { "epoch": 0.3594985009539384, "grad_norm": 0.35546875, "learning_rate": 1.6169853285168682e-05, "loss": 0.7203, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2638 }, { "epoch": 0.3596347778686291, "grad_norm": 0.330078125, "learning_rate": 1.6166108298338946e-05, "loss": 0.6759, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2639 }, { "epoch": 0.3597710547833197, "grad_norm": 0.37890625, "learning_rate": 1.6162361915692834e-05, "loss": 0.7161, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2640 }, { "epoch": 0.35990733169801037, "grad_norm": 0.2431640625, "learning_rate": 1.6158614138078405e-05, "loss": 0.6137, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2641 }, { "epoch": 0.360043608612701, "grad_norm": 0.33984375, "learning_rate": 1.615486496634404e-05, "loss": 0.6372, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2642 }, { "epoch": 0.36017988552739166, "grad_norm": 0.34375, "learning_rate": 1.6151114401338437e-05, "loss": 0.7168, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2643 }, { "epoch": 0.3603161624420823, "grad_norm": 0.291015625, "learning_rate": 1.6147362443910608e-05, "loss": 0.696, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2644 }, { "epoch": 0.36045243935677296, "grad_norm": 0.298828125, "learning_rate": 1.6143609094909883e-05, "loss": 0.6756, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2645 }, { "epoch": 0.3605887162714636, "grad_norm": 0.51171875, "learning_rate": 1.6139854355185897e-05, "loss": 0.7395, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2646 }, { "epoch": 0.36072499318615425, "grad_norm": 0.287109375, "learning_rate": 1.6136098225588615e-05, "loss": 0.7165, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2647 }, { "epoch": 0.3608612701008449, "grad_norm": 0.30859375, "learning_rate": 1.61323407069683e-05, "loss": 0.7269, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2648 }, { "epoch": 0.36099754701553555, "grad_norm": 0.271484375, "learning_rate": 1.612858180017555e-05, "loss": 0.7137, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2649 }, { "epoch": 0.3611338239302262, "grad_norm": 0.3125, "learning_rate": 1.6124821506061253e-05, "loss": 0.6949, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2650 }, { "epoch": 0.3612701008449169, "grad_norm": 1.140625, "learning_rate": 1.612105982547663e-05, "loss": 0.7193, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2651 }, { "epoch": 0.36140637775960754, "grad_norm": 0.28125, "learning_rate": 1.611729675927321e-05, "loss": 0.7146, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2652 }, { "epoch": 0.3615426546742982, "grad_norm": 0.275390625, "learning_rate": 1.611353230830283e-05, "loss": 0.6942, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2653 }, { "epoch": 0.36167893158898884, "grad_norm": 0.283203125, "learning_rate": 1.610976647341765e-05, "loss": 0.6648, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2654 }, { "epoch": 0.3618152085036795, "grad_norm": 0.2265625, "learning_rate": 1.610599925547014e-05, "loss": 0.6889, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2655 }, { "epoch": 0.36195148541837013, "grad_norm": 0.2890625, "learning_rate": 1.6102230655313076e-05, "loss": 0.722, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2656 }, { "epoch": 0.3620877623330608, "grad_norm": 0.2890625, "learning_rate": 1.6098460673799553e-05, "loss": 0.6925, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2657 }, { "epoch": 0.36222403924775143, "grad_norm": 0.515625, "learning_rate": 1.6094689311782982e-05, "loss": 0.7546, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2658 }, { "epoch": 0.3623603161624421, "grad_norm": 0.271484375, "learning_rate": 1.6090916570117086e-05, "loss": 0.7348, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2659 }, { "epoch": 0.3624965930771327, "grad_norm": 0.373046875, "learning_rate": 1.608714244965589e-05, "loss": 0.7495, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2660 }, { "epoch": 0.36263286999182337, "grad_norm": 0.388671875, "learning_rate": 1.6083366951253737e-05, "loss": 0.7292, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2661 }, { "epoch": 0.362769146906514, "grad_norm": 0.341796875, "learning_rate": 1.6079590075765295e-05, "loss": 0.7669, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2662 }, { "epoch": 0.36290542382120466, "grad_norm": 0.29296875, "learning_rate": 1.6075811824045516e-05, "loss": 0.7271, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2663 }, { "epoch": 0.3630417007358953, "grad_norm": 0.28515625, "learning_rate": 1.607203219694969e-05, "loss": 0.6766, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2664 }, { "epoch": 0.363177977650586, "grad_norm": 0.3203125, "learning_rate": 1.606825119533341e-05, "loss": 0.6737, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2665 }, { "epoch": 0.36331425456527666, "grad_norm": 0.416015625, "learning_rate": 1.606446882005257e-05, "loss": 0.7026, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2666 }, { "epoch": 0.3634505314799673, "grad_norm": 0.259765625, "learning_rate": 1.6060685071963383e-05, "loss": 0.7031, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2667 }, { "epoch": 0.36358680839465796, "grad_norm": 0.314453125, "learning_rate": 1.605689995192238e-05, "loss": 0.712, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2668 }, { "epoch": 0.3637230853093486, "grad_norm": 0.3515625, "learning_rate": 1.605311346078639e-05, "loss": 0.7176, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2669 }, { "epoch": 0.36385936222403925, "grad_norm": 0.37890625, "learning_rate": 1.6049325599412556e-05, "loss": 0.772, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2670 }, { "epoch": 0.3639956391387299, "grad_norm": 0.359375, "learning_rate": 1.604553636865834e-05, "loss": 0.749, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2671 }, { "epoch": 0.36413191605342055, "grad_norm": 0.546875, "learning_rate": 1.60417457693815e-05, "loss": 0.7518, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2672 }, { "epoch": 0.3642681929681112, "grad_norm": 0.2275390625, "learning_rate": 1.6037953802440108e-05, "loss": 0.6658, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2673 }, { "epoch": 0.36440446988280184, "grad_norm": 0.2734375, "learning_rate": 1.6034160468692556e-05, "loss": 0.7002, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2674 }, { "epoch": 0.3645407467974925, "grad_norm": 0.388671875, "learning_rate": 1.603036576899754e-05, "loss": 0.7562, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2675 }, { "epoch": 0.36467702371218313, "grad_norm": 0.265625, "learning_rate": 1.6026569704214046e-05, "loss": 0.7051, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2676 }, { "epoch": 0.3648133006268738, "grad_norm": 0.349609375, "learning_rate": 1.6022772275201403e-05, "loss": 0.7154, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2677 }, { "epoch": 0.3649495775415645, "grad_norm": 0.328125, "learning_rate": 1.6018973482819225e-05, "loss": 0.7601, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2678 }, { "epoch": 0.36508585445625513, "grad_norm": 0.349609375, "learning_rate": 1.6015173327927445e-05, "loss": 0.7812, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2679 }, { "epoch": 0.3652221313709458, "grad_norm": 0.275390625, "learning_rate": 1.6011371811386292e-05, "loss": 0.7753, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2680 }, { "epoch": 0.3653584082856364, "grad_norm": 0.306640625, "learning_rate": 1.6007568934056318e-05, "loss": 0.6772, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2681 }, { "epoch": 0.3654946852003271, "grad_norm": 0.26171875, "learning_rate": 1.6003764696798375e-05, "loss": 0.7271, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2682 }, { "epoch": 0.3656309621150177, "grad_norm": 0.296875, "learning_rate": 1.599995910047363e-05, "loss": 0.7382, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2683 }, { "epoch": 0.36576723902970837, "grad_norm": 0.298828125, "learning_rate": 1.5996152145943543e-05, "loss": 0.7494, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2684 }, { "epoch": 0.365903515944399, "grad_norm": 0.287109375, "learning_rate": 1.5992343834069898e-05, "loss": 0.743, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2685 }, { "epoch": 0.36603979285908966, "grad_norm": 0.3046875, "learning_rate": 1.598853416571478e-05, "loss": 0.7319, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2686 }, { "epoch": 0.3661760697737803, "grad_norm": 0.31640625, "learning_rate": 1.5984723141740578e-05, "loss": 0.7165, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2687 }, { "epoch": 0.36631234668847096, "grad_norm": 0.294921875, "learning_rate": 1.598091076300998e-05, "loss": 0.6482, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2688 }, { "epoch": 0.3664486236031616, "grad_norm": 0.625, "learning_rate": 1.5977097030386008e-05, "loss": 0.6351, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2689 }, { "epoch": 0.36658490051785225, "grad_norm": 0.404296875, "learning_rate": 1.597328194473197e-05, "loss": 0.7601, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2690 }, { "epoch": 0.3667211774325429, "grad_norm": 0.287109375, "learning_rate": 1.596946550691147e-05, "loss": 0.7301, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2691 }, { "epoch": 0.3668574543472336, "grad_norm": 0.578125, "learning_rate": 1.5965647717788442e-05, "loss": 0.8607, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2692 }, { "epoch": 0.36699373126192425, "grad_norm": 0.31640625, "learning_rate": 1.5961828578227116e-05, "loss": 0.7402, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2693 }, { "epoch": 0.3671300081766149, "grad_norm": 0.255859375, "learning_rate": 1.5958008089092024e-05, "loss": 0.7015, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2694 }, { "epoch": 0.36726628509130554, "grad_norm": 0.357421875, "learning_rate": 1.595418625124801e-05, "loss": 0.7307, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2695 }, { "epoch": 0.3674025620059962, "grad_norm": 0.291015625, "learning_rate": 1.5950363065560216e-05, "loss": 0.7887, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2696 }, { "epoch": 0.36753883892068684, "grad_norm": 0.318359375, "learning_rate": 1.5946538532894097e-05, "loss": 0.6568, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2697 }, { "epoch": 0.3676751158353775, "grad_norm": 0.28125, "learning_rate": 1.5942712654115405e-05, "loss": 0.7604, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2698 }, { "epoch": 0.36781139275006813, "grad_norm": 0.341796875, "learning_rate": 1.5938885430090205e-05, "loss": 0.6615, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2699 }, { "epoch": 0.3679476696647588, "grad_norm": 0.28125, "learning_rate": 1.5935056861684854e-05, "loss": 0.7608, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2700 }, { "epoch": 0.36808394657944943, "grad_norm": 0.3046875, "learning_rate": 1.593122694976603e-05, "loss": 0.7056, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2701 }, { "epoch": 0.3682202234941401, "grad_norm": 0.296875, "learning_rate": 1.5927395695200708e-05, "loss": 0.744, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2702 }, { "epoch": 0.3683565004088307, "grad_norm": 0.26171875, "learning_rate": 1.5923563098856158e-05, "loss": 0.683, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2703 }, { "epoch": 0.36849277732352137, "grad_norm": 0.25, "learning_rate": 1.5919729161599967e-05, "loss": 0.6833, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2704 }, { "epoch": 0.3686290542382121, "grad_norm": 0.2431640625, "learning_rate": 1.591589388430002e-05, "loss": 0.6943, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2705 }, { "epoch": 0.3687653311529027, "grad_norm": 0.3046875, "learning_rate": 1.5912057267824498e-05, "loss": 0.7026, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2706 }, { "epoch": 0.36890160806759337, "grad_norm": 0.4296875, "learning_rate": 1.5908219313041903e-05, "loss": 0.7279, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2707 }, { "epoch": 0.369037884982284, "grad_norm": 0.41015625, "learning_rate": 1.590438002082102e-05, "loss": 0.7671, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2708 }, { "epoch": 0.36917416189697466, "grad_norm": 0.39453125, "learning_rate": 1.5900539392030956e-05, "loss": 0.659, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2709 }, { "epoch": 0.3693104388116653, "grad_norm": 0.298828125, "learning_rate": 1.58966974275411e-05, "loss": 0.6455, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2710 }, { "epoch": 0.36944671572635596, "grad_norm": 0.271484375, "learning_rate": 1.589285412822116e-05, "loss": 0.6996, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2711 }, { "epoch": 0.3695829926410466, "grad_norm": 0.322265625, "learning_rate": 1.5889009494941142e-05, "loss": 0.6439, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2712 }, { "epoch": 0.36971926955573725, "grad_norm": 0.82421875, "learning_rate": 1.5885163528571345e-05, "loss": 0.697, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2713 }, { "epoch": 0.3698555464704279, "grad_norm": 0.328125, "learning_rate": 1.5881316229982385e-05, "loss": 0.7445, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2714 }, { "epoch": 0.36999182338511855, "grad_norm": 0.298828125, "learning_rate": 1.5877467600045165e-05, "loss": 0.7217, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2715 }, { "epoch": 0.3701281002998092, "grad_norm": 0.3515625, "learning_rate": 1.5873617639630902e-05, "loss": 0.7005, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2716 }, { "epoch": 0.37026437721449984, "grad_norm": 0.361328125, "learning_rate": 1.5869766349611103e-05, "loss": 0.7133, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2717 }, { "epoch": 0.3704006541291905, "grad_norm": 0.318359375, "learning_rate": 1.5865913730857583e-05, "loss": 0.7502, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2718 }, { "epoch": 0.3705369310438812, "grad_norm": 0.44140625, "learning_rate": 1.5862059784242456e-05, "loss": 0.6978, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2719 }, { "epoch": 0.37067320795857184, "grad_norm": 0.2890625, "learning_rate": 1.5858204510638137e-05, "loss": 0.6523, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2720 }, { "epoch": 0.3708094848732625, "grad_norm": 0.3359375, "learning_rate": 1.5854347910917338e-05, "loss": 0.7117, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2721 }, { "epoch": 0.37094576178795313, "grad_norm": 0.30078125, "learning_rate": 1.5850489985953076e-05, "loss": 0.668, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2722 }, { "epoch": 0.3710820387026438, "grad_norm": 0.2314453125, "learning_rate": 1.584663073661867e-05, "loss": 0.685, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2723 }, { "epoch": 0.3712183156173344, "grad_norm": 0.314453125, "learning_rate": 1.584277016378773e-05, "loss": 0.7023, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2724 }, { "epoch": 0.3713545925320251, "grad_norm": 0.30078125, "learning_rate": 1.5838908268334166e-05, "loss": 0.7426, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2725 }, { "epoch": 0.3714908694467157, "grad_norm": 0.330078125, "learning_rate": 1.5835045051132197e-05, "loss": 0.7226, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2726 }, { "epoch": 0.37162714636140637, "grad_norm": 0.50390625, "learning_rate": 1.5831180513056344e-05, "loss": 0.9323, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2727 }, { "epoch": 0.371763423276097, "grad_norm": 0.298828125, "learning_rate": 1.5827314654981405e-05, "loss": 0.684, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2728 }, { "epoch": 0.37189970019078766, "grad_norm": 0.283203125, "learning_rate": 1.5823447477782497e-05, "loss": 0.6402, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2729 }, { "epoch": 0.3720359771054783, "grad_norm": 0.28125, "learning_rate": 1.581957898233503e-05, "loss": 0.6997, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2730 }, { "epoch": 0.37217225402016896, "grad_norm": 0.33203125, "learning_rate": 1.581570916951471e-05, "loss": 0.6868, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2731 }, { "epoch": 0.37230853093485966, "grad_norm": 0.306640625, "learning_rate": 1.5811838040197548e-05, "loss": 0.7127, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2732 }, { "epoch": 0.3724448078495503, "grad_norm": 0.287109375, "learning_rate": 1.5807965595259837e-05, "loss": 0.7332, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2733 }, { "epoch": 0.37258108476424096, "grad_norm": 0.28515625, "learning_rate": 1.5804091835578194e-05, "loss": 0.7093, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2734 }, { "epoch": 0.3727173616789316, "grad_norm": 0.298828125, "learning_rate": 1.5800216762029507e-05, "loss": 0.7173, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2735 }, { "epoch": 0.37285363859362225, "grad_norm": 0.302734375, "learning_rate": 1.5796340375490972e-05, "loss": 0.7883, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2736 }, { "epoch": 0.3729899155083129, "grad_norm": 0.291015625, "learning_rate": 1.5792462676840092e-05, "loss": 0.6672, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2737 }, { "epoch": 0.37312619242300354, "grad_norm": 0.3046875, "learning_rate": 1.5788583666954654e-05, "loss": 0.707, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2738 }, { "epoch": 0.3732624693376942, "grad_norm": 0.3046875, "learning_rate": 1.5784703346712747e-05, "loss": 0.7032, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2739 }, { "epoch": 0.37339874625238484, "grad_norm": 0.26953125, "learning_rate": 1.578082171699275e-05, "loss": 0.6835, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2740 }, { "epoch": 0.3735350231670755, "grad_norm": 0.34765625, "learning_rate": 1.577693877867335e-05, "loss": 0.725, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2741 }, { "epoch": 0.37367130008176613, "grad_norm": 0.322265625, "learning_rate": 1.5773054532633522e-05, "loss": 0.6769, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2742 }, { "epoch": 0.3738075769964568, "grad_norm": 0.345703125, "learning_rate": 1.5769168979752545e-05, "loss": 0.7402, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2743 }, { "epoch": 0.37394385391114743, "grad_norm": 0.3125, "learning_rate": 1.5765282120909976e-05, "loss": 0.7048, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2744 }, { "epoch": 0.3740801308258381, "grad_norm": 0.31640625, "learning_rate": 1.576139395698569e-05, "loss": 0.6962, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2745 }, { "epoch": 0.3742164077405288, "grad_norm": 0.64453125, "learning_rate": 1.575750448885984e-05, "loss": 0.7425, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2746 }, { "epoch": 0.3743526846552194, "grad_norm": 0.404296875, "learning_rate": 1.575361371741289e-05, "loss": 0.7642, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2747 }, { "epoch": 0.3744889615699101, "grad_norm": 0.328125, "learning_rate": 1.5749721643525587e-05, "loss": 0.7482, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2748 }, { "epoch": 0.3746252384846007, "grad_norm": 0.296875, "learning_rate": 1.574582826807897e-05, "loss": 0.7299, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2749 }, { "epoch": 0.37476151539929137, "grad_norm": 0.26953125, "learning_rate": 1.5741933591954385e-05, "loss": 0.7295, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2750 }, { "epoch": 0.374897792313982, "grad_norm": 0.470703125, "learning_rate": 1.5738037616033465e-05, "loss": 0.7412, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2751 }, { "epoch": 0.37503406922867266, "grad_norm": 0.32421875, "learning_rate": 1.573414034119814e-05, "loss": 0.6984, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2752 }, { "epoch": 0.3751703461433633, "grad_norm": 0.3671875, "learning_rate": 1.5730241768330633e-05, "loss": 0.6807, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2753 }, { "epoch": 0.37530662305805396, "grad_norm": 0.322265625, "learning_rate": 1.5726341898313455e-05, "loss": 0.7585, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2754 }, { "epoch": 0.3754428999727446, "grad_norm": 0.490234375, "learning_rate": 1.572244073202942e-05, "loss": 0.7358, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2755 }, { "epoch": 0.37557917688743525, "grad_norm": 0.33203125, "learning_rate": 1.571853827036163e-05, "loss": 0.7315, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2756 }, { "epoch": 0.3757154538021259, "grad_norm": 0.546875, "learning_rate": 1.571463451419349e-05, "loss": 0.647, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2757 }, { "epoch": 0.37585173071681655, "grad_norm": 0.40625, "learning_rate": 1.5710729464408678e-05, "loss": 0.7275, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2758 }, { "epoch": 0.37598800763150725, "grad_norm": 0.2470703125, "learning_rate": 1.5706823121891178e-05, "loss": 0.6565, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2759 }, { "epoch": 0.3761242845461979, "grad_norm": 0.33203125, "learning_rate": 1.5702915487525276e-05, "loss": 0.6987, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2760 }, { "epoch": 0.37626056146088854, "grad_norm": 0.33203125, "learning_rate": 1.5699006562195526e-05, "loss": 0.7806, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2761 }, { "epoch": 0.3763968383755792, "grad_norm": 0.330078125, "learning_rate": 1.56950963467868e-05, "loss": 0.664, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2762 }, { "epoch": 0.37653311529026984, "grad_norm": 0.412109375, "learning_rate": 1.569118484218424e-05, "loss": 0.7003, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2763 }, { "epoch": 0.3766693922049605, "grad_norm": 0.373046875, "learning_rate": 1.5687272049273294e-05, "loss": 0.7977, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2764 }, { "epoch": 0.37680566911965113, "grad_norm": 0.275390625, "learning_rate": 1.5683357968939696e-05, "loss": 0.7198, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2765 }, { "epoch": 0.3769419460343418, "grad_norm": 0.458984375, "learning_rate": 1.5679442602069473e-05, "loss": 0.7859, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2766 }, { "epoch": 0.3770782229490324, "grad_norm": 0.30078125, "learning_rate": 1.567552594954895e-05, "loss": 0.6749, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2767 }, { "epoch": 0.3772144998637231, "grad_norm": 0.4375, "learning_rate": 1.5671608012264728e-05, "loss": 0.7123, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2768 }, { "epoch": 0.3773507767784137, "grad_norm": 0.55859375, "learning_rate": 1.566768879110371e-05, "loss": 0.719, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2769 }, { "epoch": 0.37748705369310437, "grad_norm": 0.291015625, "learning_rate": 1.566376828695308e-05, "loss": 0.686, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2770 }, { "epoch": 0.377623330607795, "grad_norm": 0.26953125, "learning_rate": 1.5659846500700333e-05, "loss": 0.6313, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2771 }, { "epoch": 0.3777596075224857, "grad_norm": 0.337890625, "learning_rate": 1.5655923433233226e-05, "loss": 0.6936, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2772 }, { "epoch": 0.37789588443717637, "grad_norm": 0.439453125, "learning_rate": 1.565199908543983e-05, "loss": 0.7465, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2773 }, { "epoch": 0.378032161351867, "grad_norm": 0.384765625, "learning_rate": 1.564807345820849e-05, "loss": 0.7694, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2774 }, { "epoch": 0.37816843826655766, "grad_norm": 0.35546875, "learning_rate": 1.5644146552427852e-05, "loss": 0.716, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2775 }, { "epoch": 0.3783047151812483, "grad_norm": 0.3515625, "learning_rate": 1.564021836898684e-05, "loss": 0.7516, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2776 }, { "epoch": 0.37844099209593896, "grad_norm": 0.427734375, "learning_rate": 1.5636288908774678e-05, "loss": 0.7245, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2777 }, { "epoch": 0.3785772690106296, "grad_norm": 0.306640625, "learning_rate": 1.563235817268087e-05, "loss": 0.6772, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2778 }, { "epoch": 0.37871354592532025, "grad_norm": 0.283203125, "learning_rate": 1.562842616159522e-05, "loss": 0.7698, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2779 }, { "epoch": 0.3788498228400109, "grad_norm": 0.53515625, "learning_rate": 1.562449287640781e-05, "loss": 0.6416, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2780 }, { "epoch": 0.37898609975470154, "grad_norm": 0.419921875, "learning_rate": 1.5620558318009012e-05, "loss": 0.7435, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2781 }, { "epoch": 0.3791223766693922, "grad_norm": 0.357421875, "learning_rate": 1.561662248728949e-05, "loss": 0.7837, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2782 }, { "epoch": 0.37925865358408284, "grad_norm": 0.392578125, "learning_rate": 1.5612685385140195e-05, "loss": 0.8063, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2783 }, { "epoch": 0.3793949304987735, "grad_norm": 0.453125, "learning_rate": 1.5608747012452367e-05, "loss": 0.7716, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2784 }, { "epoch": 0.37953120741346413, "grad_norm": 0.28125, "learning_rate": 1.5604807370117527e-05, "loss": 0.7308, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2785 }, { "epoch": 0.37966748432815484, "grad_norm": 0.375, "learning_rate": 1.5600866459027495e-05, "loss": 0.7241, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2786 }, { "epoch": 0.3798037612428455, "grad_norm": 0.328125, "learning_rate": 1.5596924280074367e-05, "loss": 0.7135, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2787 }, { "epoch": 0.37994003815753613, "grad_norm": 0.314453125, "learning_rate": 1.559298083415053e-05, "loss": 0.6912, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2788 }, { "epoch": 0.3800763150722268, "grad_norm": 0.265625, "learning_rate": 1.5589036122148664e-05, "loss": 0.6976, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2789 }, { "epoch": 0.3802125919869174, "grad_norm": 0.322265625, "learning_rate": 1.558509014496172e-05, "loss": 0.7156, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2790 }, { "epoch": 0.3803488689016081, "grad_norm": 0.3125, "learning_rate": 1.5581142903482954e-05, "loss": 0.6907, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2791 }, { "epoch": 0.3804851458162987, "grad_norm": 0.259765625, "learning_rate": 1.5577194398605896e-05, "loss": 0.6741, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2792 }, { "epoch": 0.38062142273098937, "grad_norm": 0.388671875, "learning_rate": 1.5573244631224364e-05, "loss": 0.7738, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2793 }, { "epoch": 0.38075769964568, "grad_norm": 0.26953125, "learning_rate": 1.5569293602232468e-05, "loss": 0.7144, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2794 }, { "epoch": 0.38089397656037066, "grad_norm": 0.359375, "learning_rate": 1.5565341312524597e-05, "loss": 0.7586, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2795 }, { "epoch": 0.3810302534750613, "grad_norm": 0.3046875, "learning_rate": 1.5561387762995425e-05, "loss": 0.774, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2796 }, { "epoch": 0.38116653038975196, "grad_norm": 0.287109375, "learning_rate": 1.5557432954539913e-05, "loss": 0.697, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2797 }, { "epoch": 0.3813028073044426, "grad_norm": 0.322265625, "learning_rate": 1.555347688805331e-05, "loss": 0.825, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2798 }, { "epoch": 0.3814390842191333, "grad_norm": 0.306640625, "learning_rate": 1.5549519564431144e-05, "loss": 0.7479, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2799 }, { "epoch": 0.38157536113382395, "grad_norm": 0.248046875, "learning_rate": 1.554556098456924e-05, "loss": 0.6432, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2800 }, { "epoch": 0.3817116380485146, "grad_norm": 0.3203125, "learning_rate": 1.5541601149363686e-05, "loss": 0.7314, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2801 }, { "epoch": 0.38184791496320525, "grad_norm": 0.294921875, "learning_rate": 1.553764005971087e-05, "loss": 0.6917, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2802 }, { "epoch": 0.3819841918778959, "grad_norm": 0.2890625, "learning_rate": 1.5533677716507468e-05, "loss": 0.7553, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2803 }, { "epoch": 0.38212046879258654, "grad_norm": 0.310546875, "learning_rate": 1.552971412065042e-05, "loss": 0.7437, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2804 }, { "epoch": 0.3822567457072772, "grad_norm": 0.349609375, "learning_rate": 1.552574927303697e-05, "loss": 0.7339, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2805 }, { "epoch": 0.38239302262196784, "grad_norm": 0.4375, "learning_rate": 1.5521783174564635e-05, "loss": 0.7643, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2806 }, { "epoch": 0.3825292995366585, "grad_norm": 0.3671875, "learning_rate": 1.551781582613122e-05, "loss": 0.7024, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2807 }, { "epoch": 0.38266557645134913, "grad_norm": 0.26171875, "learning_rate": 1.5513847228634805e-05, "loss": 0.6867, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2808 }, { "epoch": 0.3828018533660398, "grad_norm": 0.55078125, "learning_rate": 1.5509877382973756e-05, "loss": 0.8053, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2809 }, { "epoch": 0.3829381302807304, "grad_norm": 0.5859375, "learning_rate": 1.550590629004673e-05, "loss": 0.7354, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2810 }, { "epoch": 0.3830744071954211, "grad_norm": 0.333984375, "learning_rate": 1.5501933950752655e-05, "loss": 0.6771, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2811 }, { "epoch": 0.3832106841101117, "grad_norm": 0.458984375, "learning_rate": 1.5497960365990753e-05, "loss": 0.7432, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2812 }, { "epoch": 0.3833469610248024, "grad_norm": 0.490234375, "learning_rate": 1.549398553666051e-05, "loss": 0.6737, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2813 }, { "epoch": 0.38348323793949307, "grad_norm": 0.28125, "learning_rate": 1.5490009463661712e-05, "loss": 0.7787, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2814 }, { "epoch": 0.3836195148541837, "grad_norm": 0.41796875, "learning_rate": 1.5486032147894417e-05, "loss": 0.7722, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2815 }, { "epoch": 0.38375579176887437, "grad_norm": 0.375, "learning_rate": 1.5482053590258965e-05, "loss": 0.75, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2816 }, { "epoch": 0.383892068683565, "grad_norm": 0.275390625, "learning_rate": 1.5478073791655983e-05, "loss": 0.6966, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2817 }, { "epoch": 0.38402834559825566, "grad_norm": 0.337890625, "learning_rate": 1.547409275298637e-05, "loss": 0.7301, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2818 }, { "epoch": 0.3841646225129463, "grad_norm": 0.328125, "learning_rate": 1.547011047515131e-05, "loss": 0.7238, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2819 }, { "epoch": 0.38430089942763695, "grad_norm": 0.4296875, "learning_rate": 1.546612695905227e-05, "loss": 0.7089, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2820 }, { "epoch": 0.3844371763423276, "grad_norm": 0.330078125, "learning_rate": 1.5462142205590994e-05, "loss": 0.6694, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2821 }, { "epoch": 0.38457345325701825, "grad_norm": 0.34375, "learning_rate": 1.545815621566951e-05, "loss": 0.709, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2822 }, { "epoch": 0.3847097301717089, "grad_norm": 0.546875, "learning_rate": 1.5454168990190115e-05, "loss": 0.7357, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2823 }, { "epoch": 0.38484600708639954, "grad_norm": 0.35546875, "learning_rate": 1.5450180530055402e-05, "loss": 0.7624, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2824 }, { "epoch": 0.3849822840010902, "grad_norm": 0.431640625, "learning_rate": 1.5446190836168232e-05, "loss": 0.6963, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2825 }, { "epoch": 0.3851185609157809, "grad_norm": 0.57421875, "learning_rate": 1.5442199909431754e-05, "loss": 0.884, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2826 }, { "epoch": 0.38525483783047154, "grad_norm": 0.30078125, "learning_rate": 1.5438207750749374e-05, "loss": 0.7802, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2827 }, { "epoch": 0.3853911147451622, "grad_norm": 0.375, "learning_rate": 1.543421436102481e-05, "loss": 0.6562, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2828 }, { "epoch": 0.38552739165985284, "grad_norm": 0.322265625, "learning_rate": 1.5430219741162037e-05, "loss": 0.7016, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2829 }, { "epoch": 0.3856636685745435, "grad_norm": 0.484375, "learning_rate": 1.542622389206531e-05, "loss": 0.6784, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2830 }, { "epoch": 0.38579994548923413, "grad_norm": 0.453125, "learning_rate": 1.542222681463917e-05, "loss": 0.7225, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2831 }, { "epoch": 0.3859362224039248, "grad_norm": 0.35546875, "learning_rate": 1.541822850978843e-05, "loss": 0.7437, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2832 }, { "epoch": 0.3860724993186154, "grad_norm": 0.318359375, "learning_rate": 1.541422897841818e-05, "loss": 0.6884, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2833 }, { "epoch": 0.3862087762333061, "grad_norm": 0.349609375, "learning_rate": 1.54102282214338e-05, "loss": 0.7689, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2834 }, { "epoch": 0.3863450531479967, "grad_norm": 0.302734375, "learning_rate": 1.5406226239740925e-05, "loss": 0.6539, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2835 }, { "epoch": 0.38648133006268737, "grad_norm": 0.35546875, "learning_rate": 1.5402223034245487e-05, "loss": 0.7072, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2836 }, { "epoch": 0.386617606977378, "grad_norm": 0.271484375, "learning_rate": 1.5398218605853692e-05, "loss": 0.6991, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2837 }, { "epoch": 0.38675388389206866, "grad_norm": 0.29296875, "learning_rate": 1.5394212955472008e-05, "loss": 0.705, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2838 }, { "epoch": 0.3868901608067593, "grad_norm": 0.36328125, "learning_rate": 1.5390206084007196e-05, "loss": 0.7015, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2839 }, { "epoch": 0.38702643772145, "grad_norm": 0.333984375, "learning_rate": 1.538619799236629e-05, "loss": 0.7233, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2840 }, { "epoch": 0.38716271463614066, "grad_norm": 0.283203125, "learning_rate": 1.53821886814566e-05, "loss": 0.7253, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2841 }, { "epoch": 0.3872989915508313, "grad_norm": 0.28125, "learning_rate": 1.5378178152185703e-05, "loss": 0.7342, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2842 }, { "epoch": 0.38743526846552195, "grad_norm": 0.36328125, "learning_rate": 1.537416640546146e-05, "loss": 0.7039, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2843 }, { "epoch": 0.3875715453802126, "grad_norm": 0.318359375, "learning_rate": 1.5370153442192014e-05, "loss": 0.6968, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2844 }, { "epoch": 0.38770782229490325, "grad_norm": 0.4765625, "learning_rate": 1.536613926328577e-05, "loss": 0.8957, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2845 }, { "epoch": 0.3878440992095939, "grad_norm": 0.33984375, "learning_rate": 1.5362123869651413e-05, "loss": 0.8286, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2846 }, { "epoch": 0.38798037612428454, "grad_norm": 0.35546875, "learning_rate": 1.5358107262197904e-05, "loss": 0.6924, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2847 }, { "epoch": 0.3881166530389752, "grad_norm": 0.50390625, "learning_rate": 1.5354089441834482e-05, "loss": 0.7321, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2848 }, { "epoch": 0.38825292995366584, "grad_norm": 0.33984375, "learning_rate": 1.535007040947066e-05, "loss": 0.7091, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2849 }, { "epoch": 0.3883892068683565, "grad_norm": 0.34765625, "learning_rate": 1.5346050166016213e-05, "loss": 0.7087, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2850 }, { "epoch": 0.38852548378304713, "grad_norm": 0.27734375, "learning_rate": 1.5342028712381207e-05, "loss": 0.7205, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2851 }, { "epoch": 0.3886617606977378, "grad_norm": 0.373046875, "learning_rate": 1.5338006049475975e-05, "loss": 0.6886, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2852 }, { "epoch": 0.3887980376124285, "grad_norm": 0.34375, "learning_rate": 1.533398217821112e-05, "loss": 0.6781, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2853 }, { "epoch": 0.38893431452711913, "grad_norm": 0.3046875, "learning_rate": 1.5329957099497524e-05, "loss": 0.6715, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2854 }, { "epoch": 0.3890705914418098, "grad_norm": 0.46875, "learning_rate": 1.5325930814246342e-05, "loss": 0.7446, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2855 }, { "epoch": 0.3892068683565004, "grad_norm": 0.5234375, "learning_rate": 1.5321903323369e-05, "loss": 0.733, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2856 }, { "epoch": 0.38934314527119107, "grad_norm": 0.3984375, "learning_rate": 1.53178746277772e-05, "loss": 0.7219, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2857 }, { "epoch": 0.3894794221858817, "grad_norm": 0.296875, "learning_rate": 1.5313844728382906e-05, "loss": 0.6991, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2858 }, { "epoch": 0.38961569910057237, "grad_norm": 0.3359375, "learning_rate": 1.5309813626098368e-05, "loss": 0.778, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2859 }, { "epoch": 0.389751976015263, "grad_norm": 0.345703125, "learning_rate": 1.53057813218361e-05, "loss": 0.7176, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2860 }, { "epoch": 0.38988825292995366, "grad_norm": 0.328125, "learning_rate": 1.53017478165089e-05, "loss": 0.7343, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2861 }, { "epoch": 0.3900245298446443, "grad_norm": 0.416015625, "learning_rate": 1.529771311102982e-05, "loss": 0.7113, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2862 }, { "epoch": 0.39016080675933495, "grad_norm": 0.279296875, "learning_rate": 1.5293677206312194e-05, "loss": 0.7139, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2863 }, { "epoch": 0.3902970836740256, "grad_norm": 0.408203125, "learning_rate": 1.5289640103269626e-05, "loss": 0.695, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2864 }, { "epoch": 0.39043336058871625, "grad_norm": 0.2734375, "learning_rate": 1.5285601802815992e-05, "loss": 0.7431, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2865 }, { "epoch": 0.3905696375034069, "grad_norm": 0.31640625, "learning_rate": 1.5281562305865443e-05, "loss": 0.6675, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2866 }, { "epoch": 0.3907059144180976, "grad_norm": 0.28125, "learning_rate": 1.5277521613332395e-05, "loss": 0.6754, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2867 }, { "epoch": 0.39084219133278825, "grad_norm": 0.28125, "learning_rate": 1.5273479726131525e-05, "loss": 0.7108, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2868 }, { "epoch": 0.3909784682474789, "grad_norm": 0.265625, "learning_rate": 1.5269436645177808e-05, "loss": 0.7601, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2869 }, { "epoch": 0.39111474516216954, "grad_norm": 0.302734375, "learning_rate": 1.5265392371386457e-05, "loss": 0.7641, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2870 }, { "epoch": 0.3912510220768602, "grad_norm": 0.40234375, "learning_rate": 1.5261346905672982e-05, "loss": 0.7317, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2871 }, { "epoch": 0.39138729899155084, "grad_norm": 0.36328125, "learning_rate": 1.5257300248953146e-05, "loss": 0.7887, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2872 }, { "epoch": 0.3915235759062415, "grad_norm": 0.384765625, "learning_rate": 1.5253252402142989e-05, "loss": 0.7033, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2873 }, { "epoch": 0.39165985282093213, "grad_norm": 0.306640625, "learning_rate": 1.5249203366158817e-05, "loss": 0.6456, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2874 }, { "epoch": 0.3917961297356228, "grad_norm": 0.255859375, "learning_rate": 1.5245153141917213e-05, "loss": 0.7184, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2875 }, { "epoch": 0.3919324066503134, "grad_norm": 0.625, "learning_rate": 1.524110173033501e-05, "loss": 0.7195, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2876 }, { "epoch": 0.3920686835650041, "grad_norm": 0.30078125, "learning_rate": 1.5237049132329334e-05, "loss": 0.6762, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2877 }, { "epoch": 0.3922049604796947, "grad_norm": 0.265625, "learning_rate": 1.523299534881756e-05, "loss": 0.7491, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2878 }, { "epoch": 0.39234123739438537, "grad_norm": 0.283203125, "learning_rate": 1.5228940380717342e-05, "loss": 0.7251, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2879 }, { "epoch": 0.39247751430907607, "grad_norm": 0.396484375, "learning_rate": 1.5224884228946604e-05, "loss": 0.7726, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2880 }, { "epoch": 0.3926137912237667, "grad_norm": 0.267578125, "learning_rate": 1.5220826894423529e-05, "loss": 0.6922, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2881 }, { "epoch": 0.39275006813845736, "grad_norm": 0.3359375, "learning_rate": 1.5216768378066572e-05, "loss": 0.6822, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2882 }, { "epoch": 0.392886345053148, "grad_norm": 0.33984375, "learning_rate": 1.5212708680794457e-05, "loss": 0.7016, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2883 }, { "epoch": 0.39302262196783866, "grad_norm": 0.330078125, "learning_rate": 1.5208647803526171e-05, "loss": 0.6543, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2884 }, { "epoch": 0.3931588988825293, "grad_norm": 0.26953125, "learning_rate": 1.5204585747180976e-05, "loss": 0.7438, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2885 }, { "epoch": 0.39329517579721995, "grad_norm": 0.2421875, "learning_rate": 1.5200522512678394e-05, "loss": 0.7067, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2886 }, { "epoch": 0.3934314527119106, "grad_norm": 0.57421875, "learning_rate": 1.5196458100938214e-05, "loss": 0.6628, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2887 }, { "epoch": 0.39356772962660125, "grad_norm": 0.291015625, "learning_rate": 1.5192392512880495e-05, "loss": 0.7321, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2888 }, { "epoch": 0.3937040065412919, "grad_norm": 0.271484375, "learning_rate": 1.5188325749425561e-05, "loss": 0.6636, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2889 }, { "epoch": 0.39384028345598254, "grad_norm": 0.349609375, "learning_rate": 1.5184257811493998e-05, "loss": 0.8083, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2890 }, { "epoch": 0.3939765603706732, "grad_norm": 0.30078125, "learning_rate": 1.5180188700006669e-05, "loss": 0.7123, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2891 }, { "epoch": 0.39411283728536384, "grad_norm": 0.306640625, "learning_rate": 1.5176118415884684e-05, "loss": 0.7441, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2892 }, { "epoch": 0.3942491142000545, "grad_norm": 0.30859375, "learning_rate": 1.5172046960049442e-05, "loss": 0.7403, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2893 }, { "epoch": 0.3943853911147452, "grad_norm": 0.384765625, "learning_rate": 1.5167974333422587e-05, "loss": 0.7959, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2894 }, { "epoch": 0.39452166802943583, "grad_norm": 0.318359375, "learning_rate": 1.5163900536926036e-05, "loss": 0.781, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2895 }, { "epoch": 0.3946579449441265, "grad_norm": 0.298828125, "learning_rate": 1.5159825571481973e-05, "loss": 0.7601, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2896 }, { "epoch": 0.39479422185881713, "grad_norm": 0.421875, "learning_rate": 1.5155749438012843e-05, "loss": 0.7903, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2897 }, { "epoch": 0.3949304987735078, "grad_norm": 0.40234375, "learning_rate": 1.5151672137441358e-05, "loss": 0.7177, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2898 }, { "epoch": 0.3950667756881984, "grad_norm": 0.27734375, "learning_rate": 1.5147593670690487e-05, "loss": 0.7194, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2899 }, { "epoch": 0.39520305260288907, "grad_norm": 0.30078125, "learning_rate": 1.514351403868348e-05, "loss": 0.6728, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2900 }, { "epoch": 0.3953393295175797, "grad_norm": 0.251953125, "learning_rate": 1.5139433242343832e-05, "loss": 0.6843, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2901 }, { "epoch": 0.39547560643227037, "grad_norm": 0.384765625, "learning_rate": 1.5135351282595308e-05, "loss": 0.7444, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2902 }, { "epoch": 0.395611883346961, "grad_norm": 0.341796875, "learning_rate": 1.5131268160361942e-05, "loss": 0.7149, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2903 }, { "epoch": 0.39574816026165166, "grad_norm": 0.294921875, "learning_rate": 1.5127183876568024e-05, "loss": 0.7511, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2904 }, { "epoch": 0.3958844371763423, "grad_norm": 0.314453125, "learning_rate": 1.512309843213811e-05, "loss": 0.7052, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2905 }, { "epoch": 0.39602071409103295, "grad_norm": 0.251953125, "learning_rate": 1.511901182799702e-05, "loss": 0.6985, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2906 }, { "epoch": 0.39615699100572366, "grad_norm": 0.3828125, "learning_rate": 1.5114924065069834e-05, "loss": 0.7381, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2907 }, { "epoch": 0.3962932679204143, "grad_norm": 0.251953125, "learning_rate": 1.5110835144281892e-05, "loss": 0.7081, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2908 }, { "epoch": 0.39642954483510495, "grad_norm": 0.3671875, "learning_rate": 1.5106745066558806e-05, "loss": 0.7298, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2909 }, { "epoch": 0.3965658217497956, "grad_norm": 0.28515625, "learning_rate": 1.5102653832826438e-05, "loss": 0.6848, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2910 }, { "epoch": 0.39670209866448625, "grad_norm": 0.41015625, "learning_rate": 1.5098561444010917e-05, "loss": 0.7202, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2911 }, { "epoch": 0.3968383755791769, "grad_norm": 0.306640625, "learning_rate": 1.5094467901038639e-05, "loss": 0.6551, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2912 }, { "epoch": 0.39697465249386754, "grad_norm": 0.306640625, "learning_rate": 1.5090373204836246e-05, "loss": 0.7617, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2913 }, { "epoch": 0.3971109294085582, "grad_norm": 0.306640625, "learning_rate": 1.5086277356330659e-05, "loss": 0.6828, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2914 }, { "epoch": 0.39724720632324884, "grad_norm": 0.412109375, "learning_rate": 1.5082180356449045e-05, "loss": 0.7163, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2915 }, { "epoch": 0.3973834832379395, "grad_norm": 0.31640625, "learning_rate": 1.5078082206118845e-05, "loss": 0.6819, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2916 }, { "epoch": 0.39751976015263013, "grad_norm": 0.328125, "learning_rate": 1.507398290626775e-05, "loss": 0.7326, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2917 }, { "epoch": 0.3976560370673208, "grad_norm": 0.28125, "learning_rate": 1.5069882457823712e-05, "loss": 0.7182, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2918 }, { "epoch": 0.3977923139820114, "grad_norm": 0.318359375, "learning_rate": 1.5065780861714951e-05, "loss": 0.6162, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2919 }, { "epoch": 0.3979285908967021, "grad_norm": 0.26171875, "learning_rate": 1.5061678118869942e-05, "loss": 0.7374, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2920 }, { "epoch": 0.3980648678113928, "grad_norm": 0.314453125, "learning_rate": 1.5057574230217418e-05, "loss": 0.7753, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2921 }, { "epoch": 0.3982011447260834, "grad_norm": 0.359375, "learning_rate": 1.5053469196686367e-05, "loss": 0.7144, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2922 }, { "epoch": 0.39833742164077407, "grad_norm": 0.2890625, "learning_rate": 1.5049363019206048e-05, "loss": 0.7022, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2923 }, { "epoch": 0.3984736985554647, "grad_norm": 0.322265625, "learning_rate": 1.5045255698705972e-05, "loss": 0.6503, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2924 }, { "epoch": 0.39860997547015536, "grad_norm": 0.357421875, "learning_rate": 1.5041147236115905e-05, "loss": 0.6823, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2925 }, { "epoch": 0.398746252384846, "grad_norm": 0.333984375, "learning_rate": 1.503703763236588e-05, "loss": 0.7115, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2926 }, { "epoch": 0.39888252929953666, "grad_norm": 0.41015625, "learning_rate": 1.5032926888386188e-05, "loss": 0.7381, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2927 }, { "epoch": 0.3990188062142273, "grad_norm": 0.34765625, "learning_rate": 1.5028815005107365e-05, "loss": 0.6743, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2928 }, { "epoch": 0.39915508312891795, "grad_norm": 0.279296875, "learning_rate": 1.5024701983460217e-05, "loss": 0.7122, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2929 }, { "epoch": 0.3992913600436086, "grad_norm": 0.3046875, "learning_rate": 1.502058782437581e-05, "loss": 0.6726, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2930 }, { "epoch": 0.39942763695829925, "grad_norm": 0.8359375, "learning_rate": 1.5016472528785463e-05, "loss": 0.7295, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2931 }, { "epoch": 0.3995639138729899, "grad_norm": 0.498046875, "learning_rate": 1.5012356097620745e-05, "loss": 0.6839, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2932 }, { "epoch": 0.39970019078768054, "grad_norm": 0.294921875, "learning_rate": 1.5008238531813492e-05, "loss": 0.7432, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2933 }, { "epoch": 0.39983646770237125, "grad_norm": 0.2734375, "learning_rate": 1.5004119832295797e-05, "loss": 0.7228, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2934 }, { "epoch": 0.3999727446170619, "grad_norm": 0.2734375, "learning_rate": 1.5000000000000002e-05, "loss": 0.7418, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2935 }, { "epoch": 0.40010902153175254, "grad_norm": 0.3125, "learning_rate": 1.4995879035858712e-05, "loss": 0.7652, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2936 }, { "epoch": 0.4002452984464432, "grad_norm": 0.3046875, "learning_rate": 1.4991756940804782e-05, "loss": 0.6538, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2937 }, { "epoch": 0.40038157536113383, "grad_norm": 0.291015625, "learning_rate": 1.498763371577133e-05, "loss": 0.7146, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2938 }, { "epoch": 0.4005178522758245, "grad_norm": 0.392578125, "learning_rate": 1.498350936169173e-05, "loss": 0.8358, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2939 }, { "epoch": 0.40065412919051513, "grad_norm": 0.291015625, "learning_rate": 1.4979383879499603e-05, "loss": 0.6866, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2940 }, { "epoch": 0.4007904061052058, "grad_norm": 0.365234375, "learning_rate": 1.4975257270128832e-05, "loss": 0.7732, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2941 }, { "epoch": 0.4009266830198964, "grad_norm": 0.5234375, "learning_rate": 1.4971129534513554e-05, "loss": 0.8434, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2942 }, { "epoch": 0.40106295993458707, "grad_norm": 0.314453125, "learning_rate": 1.4967000673588161e-05, "loss": 0.6376, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2943 }, { "epoch": 0.4011992368492777, "grad_norm": 0.4375, "learning_rate": 1.49628706882873e-05, "loss": 0.712, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2944 }, { "epoch": 0.40133551376396837, "grad_norm": 0.328125, "learning_rate": 1.4958739579545873e-05, "loss": 0.6637, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2945 }, { "epoch": 0.401471790678659, "grad_norm": 0.32421875, "learning_rate": 1.4954607348299036e-05, "loss": 0.7113, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2946 }, { "epoch": 0.40160806759334966, "grad_norm": 0.318359375, "learning_rate": 1.4950473995482195e-05, "loss": 0.7657, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2947 }, { "epoch": 0.40174434450804036, "grad_norm": 0.3515625, "learning_rate": 1.4946339522031013e-05, "loss": 0.7429, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2948 }, { "epoch": 0.401880621422731, "grad_norm": 0.3671875, "learning_rate": 1.4942203928881411e-05, "loss": 0.696, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2949 }, { "epoch": 0.40201689833742166, "grad_norm": 0.27734375, "learning_rate": 1.4938067216969558e-05, "loss": 0.7194, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2950 }, { "epoch": 0.4021531752521123, "grad_norm": 0.345703125, "learning_rate": 1.4933929387231878e-05, "loss": 0.6765, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2951 }, { "epoch": 0.40228945216680295, "grad_norm": 0.28515625, "learning_rate": 1.4929790440605043e-05, "loss": 0.6452, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2952 }, { "epoch": 0.4024257290814936, "grad_norm": 0.28515625, "learning_rate": 1.4925650378025988e-05, "loss": 0.6994, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2953 }, { "epoch": 0.40256200599618425, "grad_norm": 0.427734375, "learning_rate": 1.4921509200431896e-05, "loss": 0.6945, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2954 }, { "epoch": 0.4026982829108749, "grad_norm": 0.30078125, "learning_rate": 1.49173669087602e-05, "loss": 0.7427, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2955 }, { "epoch": 0.40283455982556554, "grad_norm": 0.322265625, "learning_rate": 1.4913223503948584e-05, "loss": 0.7795, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2956 }, { "epoch": 0.4029708367402562, "grad_norm": 0.34765625, "learning_rate": 1.4909078986934993e-05, "loss": 0.7437, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2957 }, { "epoch": 0.40310711365494684, "grad_norm": 0.53125, "learning_rate": 1.490493335865761e-05, "loss": 0.8226, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2958 }, { "epoch": 0.4032433905696375, "grad_norm": 0.427734375, "learning_rate": 1.4900786620054882e-05, "loss": 0.7702, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2959 }, { "epoch": 0.40337966748432813, "grad_norm": 0.265625, "learning_rate": 1.4896638772065501e-05, "loss": 0.667, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2960 }, { "epoch": 0.40351594439901883, "grad_norm": 0.69140625, "learning_rate": 1.4892489815628415e-05, "loss": 0.8784, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2961 }, { "epoch": 0.4036522213137095, "grad_norm": 0.380859375, "learning_rate": 1.4888339751682814e-05, "loss": 0.7284, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2962 }, { "epoch": 0.40378849822840013, "grad_norm": 0.462890625, "learning_rate": 1.4884188581168146e-05, "loss": 0.7402, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2963 }, { "epoch": 0.4039247751430908, "grad_norm": 0.3828125, "learning_rate": 1.4880036305024108e-05, "loss": 0.7201, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2964 }, { "epoch": 0.4040610520577814, "grad_norm": 0.357421875, "learning_rate": 1.4875882924190652e-05, "loss": 0.6972, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2965 }, { "epoch": 0.40419732897247207, "grad_norm": 0.30078125, "learning_rate": 1.4871728439607967e-05, "loss": 0.7418, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2966 }, { "epoch": 0.4043336058871627, "grad_norm": 0.259765625, "learning_rate": 1.4867572852216506e-05, "loss": 0.7222, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2967 }, { "epoch": 0.40446988280185336, "grad_norm": 0.3359375, "learning_rate": 1.486341616295696e-05, "loss": 0.7498, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2968 }, { "epoch": 0.404606159716544, "grad_norm": 0.296875, "learning_rate": 1.485925837277028e-05, "loss": 0.7765, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2969 }, { "epoch": 0.40474243663123466, "grad_norm": 0.52734375, "learning_rate": 1.4855099482597659e-05, "loss": 0.6643, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2970 }, { "epoch": 0.4048787135459253, "grad_norm": 0.328125, "learning_rate": 1.4850939493380541e-05, "loss": 0.7567, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2971 }, { "epoch": 0.40501499046061595, "grad_norm": 0.404296875, "learning_rate": 1.4846778406060618e-05, "loss": 0.762, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2972 }, { "epoch": 0.4051512673753066, "grad_norm": 0.359375, "learning_rate": 1.4842616221579838e-05, "loss": 0.6415, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2973 }, { "epoch": 0.40528754428999725, "grad_norm": 0.375, "learning_rate": 1.4838452940880383e-05, "loss": 0.7982, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2974 }, { "epoch": 0.40542382120468795, "grad_norm": 0.478515625, "learning_rate": 1.4834288564904696e-05, "loss": 0.7357, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2975 }, { "epoch": 0.4055600981193786, "grad_norm": 0.41015625, "learning_rate": 1.483012309459546e-05, "loss": 0.776, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2976 }, { "epoch": 0.40569637503406925, "grad_norm": 0.345703125, "learning_rate": 1.482595653089561e-05, "loss": 0.772, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2977 }, { "epoch": 0.4058326519487599, "grad_norm": 0.33984375, "learning_rate": 1.4821788874748326e-05, "loss": 0.752, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2978 }, { "epoch": 0.40596892886345054, "grad_norm": 0.349609375, "learning_rate": 1.4817620127097041e-05, "loss": 0.7514, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2979 }, { "epoch": 0.4061052057781412, "grad_norm": 0.3046875, "learning_rate": 1.4813450288885425e-05, "loss": 0.7396, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2980 }, { "epoch": 0.40624148269283183, "grad_norm": 0.291015625, "learning_rate": 1.4809279361057402e-05, "loss": 0.7169, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2981 }, { "epoch": 0.4063777596075225, "grad_norm": 0.265625, "learning_rate": 1.4805107344557146e-05, "loss": 0.7333, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2982 }, { "epoch": 0.40651403652221313, "grad_norm": 0.38671875, "learning_rate": 1.4800934240329065e-05, "loss": 0.7684, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2983 }, { "epoch": 0.4066503134369038, "grad_norm": 0.341796875, "learning_rate": 1.4796760049317829e-05, "loss": 0.7964, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2984 }, { "epoch": 0.4067865903515944, "grad_norm": 0.291015625, "learning_rate": 1.479258477246834e-05, "loss": 0.7015, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2985 }, { "epoch": 0.40692286726628507, "grad_norm": 0.337890625, "learning_rate": 1.4788408410725752e-05, "loss": 0.6704, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2986 }, { "epoch": 0.4070591441809757, "grad_norm": 0.279296875, "learning_rate": 1.4784230965035464e-05, "loss": 0.7078, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2987 }, { "epoch": 0.4071954210956664, "grad_norm": 0.5859375, "learning_rate": 1.4780052436343127e-05, "loss": 0.7233, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2988 }, { "epoch": 0.40733169801035707, "grad_norm": 0.30859375, "learning_rate": 1.4775872825594622e-05, "loss": 0.7354, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2989 }, { "epoch": 0.4074679749250477, "grad_norm": 0.439453125, "learning_rate": 1.4771692133736087e-05, "loss": 0.7028, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2990 }, { "epoch": 0.40760425183973836, "grad_norm": 0.48828125, "learning_rate": 1.4767510361713907e-05, "loss": 0.6642, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2991 }, { "epoch": 0.407740528754429, "grad_norm": 0.43359375, "learning_rate": 1.4763327510474694e-05, "loss": 0.7528, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2992 }, { "epoch": 0.40787680566911966, "grad_norm": 0.310546875, "learning_rate": 1.4759143580965328e-05, "loss": 0.69, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2993 }, { "epoch": 0.4080130825838103, "grad_norm": 0.326171875, "learning_rate": 1.4754958574132911e-05, "loss": 0.6418, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2994 }, { "epoch": 0.40814935949850095, "grad_norm": 0.337890625, "learning_rate": 1.4750772490924812e-05, "loss": 0.7146, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2995 }, { "epoch": 0.4082856364131916, "grad_norm": 0.349609375, "learning_rate": 1.4746585332288619e-05, "loss": 0.6925, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2996 }, { "epoch": 0.40842191332788225, "grad_norm": 0.39453125, "learning_rate": 1.4742397099172183e-05, "loss": 0.7192, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2997 }, { "epoch": 0.4085581902425729, "grad_norm": 0.357421875, "learning_rate": 1.4738207792523587e-05, "loss": 0.8499, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2998 }, { "epoch": 0.40869446715726354, "grad_norm": 0.515625, "learning_rate": 1.473401741329116e-05, "loss": 0.7729, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 2999 }, { "epoch": 0.4088307440719542, "grad_norm": 0.31640625, "learning_rate": 1.4729825962423476e-05, "loss": 0.8009, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3000 }, { "epoch": 0.40896702098664484, "grad_norm": 0.439453125, "learning_rate": 1.4725633440869348e-05, "loss": 0.7696, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3001 }, { "epoch": 0.40910329790133554, "grad_norm": 0.3359375, "learning_rate": 1.4721439849577838e-05, "loss": 0.6948, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3002 }, { "epoch": 0.4092395748160262, "grad_norm": 0.31640625, "learning_rate": 1.4717245189498242e-05, "loss": 0.7666, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3003 }, { "epoch": 0.40937585173071683, "grad_norm": 0.330078125, "learning_rate": 1.47130494615801e-05, "loss": 0.7543, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3004 }, { "epoch": 0.4095121286454075, "grad_norm": 0.302734375, "learning_rate": 1.4708852666773197e-05, "loss": 0.7871, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3005 }, { "epoch": 0.40964840556009813, "grad_norm": 0.29296875, "learning_rate": 1.4704654806027558e-05, "loss": 0.6875, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3006 }, { "epoch": 0.4097846824747888, "grad_norm": 0.275390625, "learning_rate": 1.4700455880293447e-05, "loss": 0.7449, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3007 }, { "epoch": 0.4099209593894794, "grad_norm": 0.23828125, "learning_rate": 1.4696255890521374e-05, "loss": 0.7336, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3008 }, { "epoch": 0.41005723630417007, "grad_norm": 0.353515625, "learning_rate": 1.4692054837662087e-05, "loss": 0.6479, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3009 }, { "epoch": 0.4101935132188607, "grad_norm": 0.271484375, "learning_rate": 1.4687852722666572e-05, "loss": 0.7023, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3010 }, { "epoch": 0.41032979013355136, "grad_norm": 0.345703125, "learning_rate": 1.4683649546486056e-05, "loss": 0.6785, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3011 }, { "epoch": 0.410466067048242, "grad_norm": 0.291015625, "learning_rate": 1.4679445310072013e-05, "loss": 0.7486, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3012 }, { "epoch": 0.41060234396293266, "grad_norm": 0.466796875, "learning_rate": 1.467524001437615e-05, "loss": 0.7837, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3013 }, { "epoch": 0.4107386208776233, "grad_norm": 0.27734375, "learning_rate": 1.467103366035042e-05, "loss": 0.7557, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3014 }, { "epoch": 0.410874897792314, "grad_norm": 0.345703125, "learning_rate": 1.4666826248947006e-05, "loss": 0.7021, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3015 }, { "epoch": 0.41101117470700466, "grad_norm": 0.376953125, "learning_rate": 1.4662617781118336e-05, "loss": 0.6752, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3016 }, { "epoch": 0.4111474516216953, "grad_norm": 0.267578125, "learning_rate": 1.465840825781708e-05, "loss": 0.6784, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3017 }, { "epoch": 0.41128372853638595, "grad_norm": 0.42578125, "learning_rate": 1.4654197679996142e-05, "loss": 0.8717, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3018 }, { "epoch": 0.4114200054510766, "grad_norm": 0.486328125, "learning_rate": 1.4649986048608668e-05, "loss": 0.8266, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3019 }, { "epoch": 0.41155628236576725, "grad_norm": 0.412109375, "learning_rate": 1.4645773364608042e-05, "loss": 0.766, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3020 }, { "epoch": 0.4116925592804579, "grad_norm": 0.333984375, "learning_rate": 1.4641559628947883e-05, "loss": 0.7503, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3021 }, { "epoch": 0.41182883619514854, "grad_norm": 0.287109375, "learning_rate": 1.4637344842582055e-05, "loss": 0.7103, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3022 }, { "epoch": 0.4119651131098392, "grad_norm": 0.34375, "learning_rate": 1.463312900646465e-05, "loss": 0.7596, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3023 }, { "epoch": 0.41210139002452983, "grad_norm": 0.404296875, "learning_rate": 1.4628912121550005e-05, "loss": 0.665, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3024 }, { "epoch": 0.4122376669392205, "grad_norm": 0.30078125, "learning_rate": 1.4624694188792696e-05, "loss": 0.6962, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3025 }, { "epoch": 0.41237394385391113, "grad_norm": 0.298828125, "learning_rate": 1.4620475209147524e-05, "loss": 0.7375, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3026 }, { "epoch": 0.4125102207686018, "grad_norm": 0.322265625, "learning_rate": 1.4616255183569546e-05, "loss": 0.7887, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3027 }, { "epoch": 0.4126464976832924, "grad_norm": 0.298828125, "learning_rate": 1.4612034113014036e-05, "loss": 0.7368, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3028 }, { "epoch": 0.4127827745979831, "grad_norm": 0.2578125, "learning_rate": 1.4607811998436523e-05, "loss": 0.6907, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3029 }, { "epoch": 0.4129190515126738, "grad_norm": 0.251953125, "learning_rate": 1.4603588840792755e-05, "loss": 0.5896, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3030 }, { "epoch": 0.4130553284273644, "grad_norm": 0.33203125, "learning_rate": 1.4599364641038728e-05, "loss": 0.7088, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3031 }, { "epoch": 0.41319160534205507, "grad_norm": 0.298828125, "learning_rate": 1.4595139400130672e-05, "loss": 0.7115, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3032 }, { "epoch": 0.4133278822567457, "grad_norm": 0.251953125, "learning_rate": 1.4590913119025048e-05, "loss": 0.731, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3033 }, { "epoch": 0.41346415917143636, "grad_norm": 0.279296875, "learning_rate": 1.4586685798678556e-05, "loss": 0.6969, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3034 }, { "epoch": 0.413600436086127, "grad_norm": 0.51171875, "learning_rate": 1.4582457440048133e-05, "loss": 0.6161, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3035 }, { "epoch": 0.41373671300081766, "grad_norm": 0.34765625, "learning_rate": 1.4578228044090947e-05, "loss": 0.7122, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3036 }, { "epoch": 0.4138729899155083, "grad_norm": 0.33203125, "learning_rate": 1.4573997611764403e-05, "loss": 0.6805, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3037 }, { "epoch": 0.41400926683019895, "grad_norm": 0.34765625, "learning_rate": 1.4569766144026141e-05, "loss": 0.7227, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3038 }, { "epoch": 0.4141455437448896, "grad_norm": 0.32421875, "learning_rate": 1.456553364183403e-05, "loss": 0.7668, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3039 }, { "epoch": 0.41428182065958025, "grad_norm": 0.318359375, "learning_rate": 1.4561300106146185e-05, "loss": 0.7161, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3040 }, { "epoch": 0.4144180975742709, "grad_norm": 0.306640625, "learning_rate": 1.4557065537920942e-05, "loss": 0.7201, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3041 }, { "epoch": 0.4145543744889616, "grad_norm": 0.38671875, "learning_rate": 1.4552829938116877e-05, "loss": 0.7526, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3042 }, { "epoch": 0.41469065140365224, "grad_norm": 0.333984375, "learning_rate": 1.4548593307692801e-05, "loss": 0.8014, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3043 }, { "epoch": 0.4148269283183429, "grad_norm": 0.279296875, "learning_rate": 1.4544355647607755e-05, "loss": 0.7606, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3044 }, { "epoch": 0.41496320523303354, "grad_norm": 0.328125, "learning_rate": 1.4540116958821015e-05, "loss": 0.7426, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3045 }, { "epoch": 0.4150994821477242, "grad_norm": 0.2890625, "learning_rate": 1.4535877242292089e-05, "loss": 0.7479, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3046 }, { "epoch": 0.41523575906241483, "grad_norm": 0.3203125, "learning_rate": 1.4531636498980718e-05, "loss": 0.7461, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3047 }, { "epoch": 0.4153720359771055, "grad_norm": 0.291015625, "learning_rate": 1.4527394729846874e-05, "loss": 0.7032, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3048 }, { "epoch": 0.4155083128917961, "grad_norm": 0.3671875, "learning_rate": 1.4523151935850763e-05, "loss": 0.7622, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3049 }, { "epoch": 0.4156445898064868, "grad_norm": 0.3359375, "learning_rate": 1.4518908117952824e-05, "loss": 0.6767, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3050 }, { "epoch": 0.4157808667211774, "grad_norm": 0.400390625, "learning_rate": 1.4514663277113722e-05, "loss": 0.697, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3051 }, { "epoch": 0.41591714363586807, "grad_norm": 0.3984375, "learning_rate": 1.4510417414294366e-05, "loss": 0.8298, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3052 }, { "epoch": 0.4160534205505587, "grad_norm": 0.359375, "learning_rate": 1.4506170530455879e-05, "loss": 0.738, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3053 }, { "epoch": 0.41618969746524936, "grad_norm": 0.28125, "learning_rate": 1.4501922626559628e-05, "loss": 0.6746, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3054 }, { "epoch": 0.41632597437994, "grad_norm": 0.2578125, "learning_rate": 1.4497673703567207e-05, "loss": 0.7284, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3055 }, { "epoch": 0.4164622512946307, "grad_norm": 0.2890625, "learning_rate": 1.4493423762440447e-05, "loss": 0.721, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3056 }, { "epoch": 0.41659852820932136, "grad_norm": 0.38671875, "learning_rate": 1.4489172804141391e-05, "loss": 0.7486, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3057 }, { "epoch": 0.416734805124012, "grad_norm": 0.318359375, "learning_rate": 1.4484920829632331e-05, "loss": 0.7817, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3058 }, { "epoch": 0.41687108203870266, "grad_norm": 0.337890625, "learning_rate": 1.4480667839875786e-05, "loss": 0.7305, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3059 }, { "epoch": 0.4170073589533933, "grad_norm": 0.2890625, "learning_rate": 1.4476413835834497e-05, "loss": 0.7524, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3060 }, { "epoch": 0.41714363586808395, "grad_norm": 0.3984375, "learning_rate": 1.447215881847144e-05, "loss": 0.6875, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3061 }, { "epoch": 0.4172799127827746, "grad_norm": 0.302734375, "learning_rate": 1.4467902788749821e-05, "loss": 0.6855, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3062 }, { "epoch": 0.41741618969746525, "grad_norm": 0.462890625, "learning_rate": 1.4463645747633073e-05, "loss": 0.8144, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3063 }, { "epoch": 0.4175524666121559, "grad_norm": 0.330078125, "learning_rate": 1.4459387696084856e-05, "loss": 0.7554, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3064 }, { "epoch": 0.41768874352684654, "grad_norm": 0.30859375, "learning_rate": 1.4455128635069064e-05, "loss": 0.6711, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3065 }, { "epoch": 0.4178250204415372, "grad_norm": 0.283203125, "learning_rate": 1.4450868565549816e-05, "loss": 0.7666, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3066 }, { "epoch": 0.41796129735622783, "grad_norm": 0.2734375, "learning_rate": 1.4446607488491462e-05, "loss": 0.7187, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3067 }, { "epoch": 0.4180975742709185, "grad_norm": 0.33203125, "learning_rate": 1.4442345404858573e-05, "loss": 0.725, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3068 }, { "epoch": 0.4182338511856092, "grad_norm": 0.255859375, "learning_rate": 1.4438082315615957e-05, "loss": 0.7104, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3069 }, { "epoch": 0.41837012810029983, "grad_norm": 0.318359375, "learning_rate": 1.4433818221728646e-05, "loss": 0.7105, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3070 }, { "epoch": 0.4185064050149905, "grad_norm": 0.291015625, "learning_rate": 1.4429553124161899e-05, "loss": 0.7367, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3071 }, { "epoch": 0.4186426819296811, "grad_norm": 1.1875, "learning_rate": 1.4425287023881198e-05, "loss": 0.7225, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3072 }, { "epoch": 0.4187789588443718, "grad_norm": 0.30078125, "learning_rate": 1.4421019921852262e-05, "loss": 0.7641, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3073 }, { "epoch": 0.4189152357590624, "grad_norm": 0.287109375, "learning_rate": 1.441675181904103e-05, "loss": 0.673, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3074 }, { "epoch": 0.41905151267375307, "grad_norm": 0.283203125, "learning_rate": 1.4412482716413667e-05, "loss": 0.6954, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3075 }, { "epoch": 0.4191877895884437, "grad_norm": 0.421875, "learning_rate": 1.4408212614936565e-05, "loss": 0.7682, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3076 }, { "epoch": 0.41932406650313436, "grad_norm": 0.392578125, "learning_rate": 1.4403941515576344e-05, "loss": 0.6882, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3077 }, { "epoch": 0.419460343417825, "grad_norm": 0.333984375, "learning_rate": 1.4399669419299851e-05, "loss": 0.7375, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3078 }, { "epoch": 0.41959662033251566, "grad_norm": 0.404296875, "learning_rate": 1.4395396327074155e-05, "loss": 0.7235, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3079 }, { "epoch": 0.4197328972472063, "grad_norm": 0.32421875, "learning_rate": 1.4391122239866548e-05, "loss": 0.705, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3080 }, { "epoch": 0.41986917416189695, "grad_norm": 0.31640625, "learning_rate": 1.4386847158644558e-05, "loss": 0.7147, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3081 }, { "epoch": 0.4200054510765876, "grad_norm": 0.3046875, "learning_rate": 1.438257108437593e-05, "loss": 0.7165, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3082 }, { "epoch": 0.4201417279912783, "grad_norm": 0.25390625, "learning_rate": 1.4378294018028628e-05, "loss": 0.6866, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3083 }, { "epoch": 0.42027800490596895, "grad_norm": 0.283203125, "learning_rate": 1.4374015960570856e-05, "loss": 0.6946, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3084 }, { "epoch": 0.4204142818206596, "grad_norm": 0.27734375, "learning_rate": 1.436973691297103e-05, "loss": 0.6373, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3085 }, { "epoch": 0.42055055873535024, "grad_norm": 0.2734375, "learning_rate": 1.43654568761978e-05, "loss": 0.7086, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3086 }, { "epoch": 0.4206868356500409, "grad_norm": 0.326171875, "learning_rate": 1.4361175851220023e-05, "loss": 0.6993, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3087 }, { "epoch": 0.42082311256473154, "grad_norm": 0.27734375, "learning_rate": 1.4356893839006802e-05, "loss": 0.6541, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3088 }, { "epoch": 0.4209593894794222, "grad_norm": 0.294921875, "learning_rate": 1.4352610840527447e-05, "loss": 0.6678, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3089 }, { "epoch": 0.42109566639411283, "grad_norm": 0.279296875, "learning_rate": 1.4348326856751496e-05, "loss": 0.7797, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3090 }, { "epoch": 0.4212319433088035, "grad_norm": 0.3828125, "learning_rate": 1.434404188864871e-05, "loss": 0.7415, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3091 }, { "epoch": 0.4213682202234941, "grad_norm": 0.341796875, "learning_rate": 1.4339755937189076e-05, "loss": 0.6838, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3092 }, { "epoch": 0.4215044971381848, "grad_norm": 0.25390625, "learning_rate": 1.4335469003342799e-05, "loss": 0.6866, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3093 }, { "epoch": 0.4216407740528754, "grad_norm": 0.39453125, "learning_rate": 1.433118108808031e-05, "loss": 0.7503, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3094 }, { "epoch": 0.42177705096756607, "grad_norm": 0.31640625, "learning_rate": 1.4326892192372256e-05, "loss": 0.7869, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3095 }, { "epoch": 0.4219133278822568, "grad_norm": 0.314453125, "learning_rate": 1.4322602317189518e-05, "loss": 0.7912, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3096 }, { "epoch": 0.4220496047969474, "grad_norm": 0.296875, "learning_rate": 1.4318311463503188e-05, "loss": 0.7261, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3097 }, { "epoch": 0.42218588171163807, "grad_norm": 1.015625, "learning_rate": 1.431401963228458e-05, "loss": 0.7516, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3098 }, { "epoch": 0.4223221586263287, "grad_norm": 0.294921875, "learning_rate": 1.4309726824505233e-05, "loss": 0.8166, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3099 }, { "epoch": 0.42245843554101936, "grad_norm": 0.271484375, "learning_rate": 1.4305433041136906e-05, "loss": 0.67, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3100 }, { "epoch": 0.42259471245571, "grad_norm": 0.3359375, "learning_rate": 1.4301138283151583e-05, "loss": 0.7663, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3101 }, { "epoch": 0.42273098937040066, "grad_norm": 0.275390625, "learning_rate": 1.4296842551521461e-05, "loss": 0.7132, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3102 }, { "epoch": 0.4228672662850913, "grad_norm": 0.2490234375, "learning_rate": 1.429254584721896e-05, "loss": 0.6637, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3103 }, { "epoch": 0.42300354319978195, "grad_norm": 0.32421875, "learning_rate": 1.4288248171216724e-05, "loss": 0.7527, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3104 }, { "epoch": 0.4231398201144726, "grad_norm": 0.30859375, "learning_rate": 1.428394952448761e-05, "loss": 0.7211, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3105 }, { "epoch": 0.42327609702916325, "grad_norm": 0.66015625, "learning_rate": 1.4279649908004702e-05, "loss": 0.8515, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3106 }, { "epoch": 0.4234123739438539, "grad_norm": 0.25390625, "learning_rate": 1.4275349322741299e-05, "loss": 0.6743, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3107 }, { "epoch": 0.42354865085854454, "grad_norm": 0.357421875, "learning_rate": 1.427104776967092e-05, "loss": 0.7203, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3108 }, { "epoch": 0.4236849277732352, "grad_norm": 0.248046875, "learning_rate": 1.4266745249767309e-05, "loss": 0.7206, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3109 }, { "epoch": 0.4238212046879259, "grad_norm": 0.388671875, "learning_rate": 1.4262441764004416e-05, "loss": 0.7435, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3110 }, { "epoch": 0.42395748160261654, "grad_norm": 0.27734375, "learning_rate": 1.425813731335642e-05, "loss": 0.6877, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3111 }, { "epoch": 0.4240937585173072, "grad_norm": 0.306640625, "learning_rate": 1.4253831898797718e-05, "loss": 0.7186, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3112 }, { "epoch": 0.42423003543199783, "grad_norm": 0.439453125, "learning_rate": 1.424952552130292e-05, "loss": 0.7075, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3113 }, { "epoch": 0.4243663123466885, "grad_norm": 0.240234375, "learning_rate": 1.4245218181846859e-05, "loss": 0.7023, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3114 }, { "epoch": 0.4245025892613791, "grad_norm": 0.251953125, "learning_rate": 1.424090988140458e-05, "loss": 0.7005, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3115 }, { "epoch": 0.4246388661760698, "grad_norm": 0.427734375, "learning_rate": 1.4236600620951353e-05, "loss": 0.7086, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3116 }, { "epoch": 0.4247751430907604, "grad_norm": 0.259765625, "learning_rate": 1.4232290401462658e-05, "loss": 0.6657, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3117 }, { "epoch": 0.42491142000545107, "grad_norm": 0.396484375, "learning_rate": 1.4227979223914199e-05, "loss": 0.811, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3118 }, { "epoch": 0.4250476969201417, "grad_norm": 0.310546875, "learning_rate": 1.422366708928189e-05, "loss": 0.7239, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3119 }, { "epoch": 0.42518397383483236, "grad_norm": 0.255859375, "learning_rate": 1.4219353998541869e-05, "loss": 0.7, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3120 }, { "epoch": 0.425320250749523, "grad_norm": 0.291015625, "learning_rate": 1.4215039952670482e-05, "loss": 0.702, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3121 }, { "epoch": 0.42545652766421366, "grad_norm": 0.302734375, "learning_rate": 1.42107249526443e-05, "loss": 0.7144, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3122 }, { "epoch": 0.42559280457890436, "grad_norm": 0.25390625, "learning_rate": 1.42064089994401e-05, "loss": 0.6499, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3123 }, { "epoch": 0.425729081493595, "grad_norm": 0.298828125, "learning_rate": 1.4202092094034884e-05, "loss": 0.6364, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3124 }, { "epoch": 0.42586535840828565, "grad_norm": 0.4609375, "learning_rate": 1.419777423740587e-05, "loss": 0.7577, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3125 }, { "epoch": 0.4260016353229763, "grad_norm": 0.32421875, "learning_rate": 1.419345543053048e-05, "loss": 0.7573, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3126 }, { "epoch": 0.42613791223766695, "grad_norm": 0.357421875, "learning_rate": 1.4189135674386365e-05, "loss": 0.6647, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3127 }, { "epoch": 0.4262741891523576, "grad_norm": 0.310546875, "learning_rate": 1.4184814969951377e-05, "loss": 0.6857, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3128 }, { "epoch": 0.42641046606704824, "grad_norm": 0.34765625, "learning_rate": 1.4180493318203597e-05, "loss": 0.774, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3129 }, { "epoch": 0.4265467429817389, "grad_norm": 0.4375, "learning_rate": 1.4176170720121307e-05, "loss": 0.7665, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3130 }, { "epoch": 0.42668301989642954, "grad_norm": 0.291015625, "learning_rate": 1.4171847176683016e-05, "loss": 0.6851, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3131 }, { "epoch": 0.4268192968111202, "grad_norm": 0.294921875, "learning_rate": 1.4167522688867437e-05, "loss": 0.6873, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3132 }, { "epoch": 0.42695557372581083, "grad_norm": 0.27734375, "learning_rate": 1.4163197257653501e-05, "loss": 0.7601, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3133 }, { "epoch": 0.4270918506405015, "grad_norm": 0.275390625, "learning_rate": 1.415887088402035e-05, "loss": 0.7494, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3134 }, { "epoch": 0.4272281275551921, "grad_norm": 0.322265625, "learning_rate": 1.4154543568947346e-05, "loss": 0.7833, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3135 }, { "epoch": 0.4273644044698828, "grad_norm": 0.296875, "learning_rate": 1.4150215313414056e-05, "loss": 0.7382, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3136 }, { "epoch": 0.4275006813845735, "grad_norm": 0.458984375, "learning_rate": 1.414588611840026e-05, "loss": 0.7485, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3137 }, { "epoch": 0.4276369582992641, "grad_norm": 0.37109375, "learning_rate": 1.4141555984885962e-05, "loss": 0.7817, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3138 }, { "epoch": 0.42777323521395477, "grad_norm": 0.27734375, "learning_rate": 1.4137224913851368e-05, "loss": 0.6514, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3139 }, { "epoch": 0.4279095121286454, "grad_norm": 0.3203125, "learning_rate": 1.4132892906276894e-05, "loss": 0.757, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3140 }, { "epoch": 0.42804578904333607, "grad_norm": 0.318359375, "learning_rate": 1.4128559963143178e-05, "loss": 0.8185, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3141 }, { "epoch": 0.4281820659580267, "grad_norm": 0.28125, "learning_rate": 1.4124226085431061e-05, "loss": 0.69, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3142 }, { "epoch": 0.42831834287271736, "grad_norm": 0.37109375, "learning_rate": 1.41198912741216e-05, "loss": 0.7284, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3143 }, { "epoch": 0.428454619787408, "grad_norm": 0.326171875, "learning_rate": 1.4115555530196061e-05, "loss": 0.7054, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3144 }, { "epoch": 0.42859089670209866, "grad_norm": 0.27734375, "learning_rate": 1.4111218854635926e-05, "loss": 0.6814, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3145 }, { "epoch": 0.4287271736167893, "grad_norm": 0.3515625, "learning_rate": 1.4106881248422883e-05, "loss": 0.6989, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3146 }, { "epoch": 0.42886345053147995, "grad_norm": 0.2890625, "learning_rate": 1.4102542712538829e-05, "loss": 0.7148, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3147 }, { "epoch": 0.4289997274461706, "grad_norm": 0.4609375, "learning_rate": 1.4098203247965876e-05, "loss": 0.7334, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3148 }, { "epoch": 0.42913600436086125, "grad_norm": 0.3125, "learning_rate": 1.4093862855686346e-05, "loss": 0.6866, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3149 }, { "epoch": 0.42927228127555195, "grad_norm": 0.373046875, "learning_rate": 1.4089521536682771e-05, "loss": 0.7059, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3150 }, { "epoch": 0.4294085581902426, "grad_norm": 0.30078125, "learning_rate": 1.4085179291937889e-05, "loss": 0.7156, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3151 }, { "epoch": 0.42954483510493324, "grad_norm": 0.326171875, "learning_rate": 1.408083612243465e-05, "loss": 0.7072, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3152 }, { "epoch": 0.4296811120196239, "grad_norm": 0.373046875, "learning_rate": 1.4076492029156215e-05, "loss": 0.7611, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3153 }, { "epoch": 0.42981738893431454, "grad_norm": 0.671875, "learning_rate": 1.407214701308595e-05, "loss": 0.7038, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3154 }, { "epoch": 0.4299536658490052, "grad_norm": 0.318359375, "learning_rate": 1.4067801075207434e-05, "loss": 0.6896, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3155 }, { "epoch": 0.43008994276369583, "grad_norm": 0.328125, "learning_rate": 1.4063454216504453e-05, "loss": 0.6777, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3156 }, { "epoch": 0.4302262196783865, "grad_norm": 0.294921875, "learning_rate": 1.4059106437961005e-05, "loss": 0.738, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3157 }, { "epoch": 0.4303624965930771, "grad_norm": 0.255859375, "learning_rate": 1.4054757740561284e-05, "loss": 0.708, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3158 }, { "epoch": 0.4304987735077678, "grad_norm": 0.34765625, "learning_rate": 1.4050408125289709e-05, "loss": 0.6986, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3159 }, { "epoch": 0.4306350504224584, "grad_norm": 2.015625, "learning_rate": 1.4046057593130893e-05, "loss": 0.6756, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3160 }, { "epoch": 0.43077132733714907, "grad_norm": 0.341796875, "learning_rate": 1.4041706145069665e-05, "loss": 0.6912, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3161 }, { "epoch": 0.4309076042518397, "grad_norm": 0.349609375, "learning_rate": 1.4037353782091057e-05, "loss": 0.7992, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3162 }, { "epoch": 0.43104388116653036, "grad_norm": 0.314453125, "learning_rate": 1.403300050518031e-05, "loss": 0.7476, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3163 }, { "epoch": 0.43118015808122107, "grad_norm": 0.337890625, "learning_rate": 1.4028646315322874e-05, "loss": 0.6802, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3164 }, { "epoch": 0.4313164349959117, "grad_norm": 0.3046875, "learning_rate": 1.40242912135044e-05, "loss": 0.7226, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3165 }, { "epoch": 0.43145271191060236, "grad_norm": 0.384765625, "learning_rate": 1.4019935200710749e-05, "loss": 0.729, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3166 }, { "epoch": 0.431588988825293, "grad_norm": 0.341796875, "learning_rate": 1.4015578277927986e-05, "loss": 0.8083, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3167 }, { "epoch": 0.43172526573998365, "grad_norm": 0.275390625, "learning_rate": 1.4011220446142386e-05, "loss": 0.6415, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3168 }, { "epoch": 0.4318615426546743, "grad_norm": 0.291015625, "learning_rate": 1.4006861706340429e-05, "loss": 0.7231, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3169 }, { "epoch": 0.43199781956936495, "grad_norm": 0.376953125, "learning_rate": 1.4002502059508793e-05, "loss": 0.7092, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3170 }, { "epoch": 0.4321340964840556, "grad_norm": 0.34765625, "learning_rate": 1.3998141506634375e-05, "loss": 0.7339, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3171 }, { "epoch": 0.43227037339874624, "grad_norm": 0.376953125, "learning_rate": 1.3993780048704264e-05, "loss": 0.6832, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3172 }, { "epoch": 0.4324066503134369, "grad_norm": 0.35546875, "learning_rate": 1.398941768670576e-05, "loss": 0.7511, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3173 }, { "epoch": 0.43254292722812754, "grad_norm": 0.255859375, "learning_rate": 1.3985054421626369e-05, "loss": 0.6753, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3174 }, { "epoch": 0.4326792041428182, "grad_norm": 0.26953125, "learning_rate": 1.3980690254453797e-05, "loss": 0.706, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3175 }, { "epoch": 0.43281548105750883, "grad_norm": 0.33203125, "learning_rate": 1.3976325186175963e-05, "loss": 0.6702, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3176 }, { "epoch": 0.43295175797219954, "grad_norm": 0.28125, "learning_rate": 1.3971959217780972e-05, "loss": 0.7521, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3177 }, { "epoch": 0.4330880348868902, "grad_norm": 0.3046875, "learning_rate": 1.3967592350257156e-05, "loss": 0.6843, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3178 }, { "epoch": 0.43322431180158083, "grad_norm": 0.404296875, "learning_rate": 1.3963224584593029e-05, "loss": 0.7575, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3179 }, { "epoch": 0.4333605887162715, "grad_norm": 0.33984375, "learning_rate": 1.3958855921777328e-05, "loss": 0.6886, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3180 }, { "epoch": 0.4334968656309621, "grad_norm": 0.3671875, "learning_rate": 1.3954486362798973e-05, "loss": 0.7599, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3181 }, { "epoch": 0.43363314254565277, "grad_norm": 0.291015625, "learning_rate": 1.3950115908647105e-05, "loss": 0.6606, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3182 }, { "epoch": 0.4337694194603434, "grad_norm": 0.30078125, "learning_rate": 1.3945744560311056e-05, "loss": 0.6994, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3183 }, { "epoch": 0.43390569637503407, "grad_norm": 0.359375, "learning_rate": 1.3941372318780367e-05, "loss": 0.7207, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3184 }, { "epoch": 0.4340419732897247, "grad_norm": 0.296875, "learning_rate": 1.3936999185044775e-05, "loss": 0.7141, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3185 }, { "epoch": 0.43417825020441536, "grad_norm": 0.310546875, "learning_rate": 1.3932625160094224e-05, "loss": 0.8133, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3186 }, { "epoch": 0.434314527119106, "grad_norm": 0.34765625, "learning_rate": 1.3928250244918857e-05, "loss": 0.7065, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3187 }, { "epoch": 0.43445080403379666, "grad_norm": 0.32421875, "learning_rate": 1.3923874440509021e-05, "loss": 0.7475, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3188 }, { "epoch": 0.4345870809484873, "grad_norm": 0.337890625, "learning_rate": 1.3919497747855263e-05, "loss": 0.7263, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3189 }, { "epoch": 0.43472335786317795, "grad_norm": 0.427734375, "learning_rate": 1.3915120167948332e-05, "loss": 0.7168, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3190 }, { "epoch": 0.43485963477786865, "grad_norm": 0.2734375, "learning_rate": 1.3910741701779176e-05, "loss": 0.6743, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3191 }, { "epoch": 0.4349959116925593, "grad_norm": 0.310546875, "learning_rate": 1.390636235033894e-05, "loss": 0.7603, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3192 }, { "epoch": 0.43513218860724995, "grad_norm": 0.33984375, "learning_rate": 1.390198211461898e-05, "loss": 0.7055, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3193 }, { "epoch": 0.4352684655219406, "grad_norm": 0.30859375, "learning_rate": 1.3897600995610843e-05, "loss": 0.7075, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3194 }, { "epoch": 0.43540474243663124, "grad_norm": 0.271484375, "learning_rate": 1.3893218994306282e-05, "loss": 0.7027, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3195 }, { "epoch": 0.4355410193513219, "grad_norm": 0.408203125, "learning_rate": 1.3888836111697242e-05, "loss": 0.7161, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3196 }, { "epoch": 0.43567729626601254, "grad_norm": 1.1484375, "learning_rate": 1.3884452348775871e-05, "loss": 0.798, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3197 }, { "epoch": 0.4358135731807032, "grad_norm": 0.322265625, "learning_rate": 1.3880067706534526e-05, "loss": 0.7681, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3198 }, { "epoch": 0.43594985009539383, "grad_norm": 0.263671875, "learning_rate": 1.3875682185965747e-05, "loss": 0.7148, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3199 }, { "epoch": 0.4360861270100845, "grad_norm": 0.421875, "learning_rate": 1.3871295788062282e-05, "loss": 0.7329, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3200 }, { "epoch": 0.4362224039247751, "grad_norm": 0.330078125, "learning_rate": 1.3866908513817078e-05, "loss": 0.7852, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3201 }, { "epoch": 0.4363586808394658, "grad_norm": 0.328125, "learning_rate": 1.3862520364223277e-05, "loss": 0.6768, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3202 }, { "epoch": 0.4364949577541564, "grad_norm": 0.3984375, "learning_rate": 1.3858131340274223e-05, "loss": 0.7262, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3203 }, { "epoch": 0.4366312346688471, "grad_norm": 0.5234375, "learning_rate": 1.3853741442963449e-05, "loss": 0.767, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3204 }, { "epoch": 0.43676751158353777, "grad_norm": 0.318359375, "learning_rate": 1.3849350673284699e-05, "loss": 0.6973, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3205 }, { "epoch": 0.4369037884982284, "grad_norm": 0.412109375, "learning_rate": 1.3844959032231904e-05, "loss": 0.7459, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3206 }, { "epoch": 0.43704006541291907, "grad_norm": 0.29296875, "learning_rate": 1.3840566520799195e-05, "loss": 0.6542, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3207 }, { "epoch": 0.4371763423276097, "grad_norm": 0.310546875, "learning_rate": 1.3836173139980901e-05, "loss": 0.6931, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3208 }, { "epoch": 0.43731261924230036, "grad_norm": 0.271484375, "learning_rate": 1.3831778890771552e-05, "loss": 0.7, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3209 }, { "epoch": 0.437448896156991, "grad_norm": 0.27734375, "learning_rate": 1.3827383774165868e-05, "loss": 0.6901, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3210 }, { "epoch": 0.43758517307168165, "grad_norm": 0.267578125, "learning_rate": 1.3822987791158764e-05, "loss": 0.7046, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3211 }, { "epoch": 0.4377214499863723, "grad_norm": 0.337890625, "learning_rate": 1.3818590942745357e-05, "loss": 0.7133, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3212 }, { "epoch": 0.43785772690106295, "grad_norm": 0.318359375, "learning_rate": 1.3814193229920956e-05, "loss": 0.7217, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3213 }, { "epoch": 0.4379940038157536, "grad_norm": 0.287109375, "learning_rate": 1.3809794653681075e-05, "loss": 0.6794, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3214 }, { "epoch": 0.43813028073044424, "grad_norm": 0.828125, "learning_rate": 1.3805395215021407e-05, "loss": 0.7036, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3215 }, { "epoch": 0.4382665576451349, "grad_norm": 0.36328125, "learning_rate": 1.3800994914937853e-05, "loss": 0.7297, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3216 }, { "epoch": 0.43840283455982554, "grad_norm": 0.3125, "learning_rate": 1.3796593754426502e-05, "loss": 0.6868, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3217 }, { "epoch": 0.43853911147451624, "grad_norm": 0.2734375, "learning_rate": 1.3792191734483646e-05, "loss": 0.7381, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3218 }, { "epoch": 0.4386753883892069, "grad_norm": 0.267578125, "learning_rate": 1.3787788856105762e-05, "loss": 0.6977, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3219 }, { "epoch": 0.43881166530389754, "grad_norm": 0.31640625, "learning_rate": 1.3783385120289525e-05, "loss": 0.6477, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3220 }, { "epoch": 0.4389479422185882, "grad_norm": 0.34765625, "learning_rate": 1.3778980528031811e-05, "loss": 0.7221, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3221 }, { "epoch": 0.43908421913327883, "grad_norm": 0.390625, "learning_rate": 1.3774575080329676e-05, "loss": 0.7435, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3222 }, { "epoch": 0.4392204960479695, "grad_norm": 0.296875, "learning_rate": 1.3770168778180376e-05, "loss": 0.6617, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3223 }, { "epoch": 0.4393567729626601, "grad_norm": 0.259765625, "learning_rate": 1.376576162258137e-05, "loss": 0.7062, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3224 }, { "epoch": 0.43949304987735077, "grad_norm": 0.31640625, "learning_rate": 1.3761353614530297e-05, "loss": 0.7125, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3225 }, { "epoch": 0.4396293267920414, "grad_norm": 0.34765625, "learning_rate": 1.3756944755024995e-05, "loss": 0.6619, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3226 }, { "epoch": 0.43976560370673207, "grad_norm": 0.27734375, "learning_rate": 1.3752535045063493e-05, "loss": 0.7459, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3227 }, { "epoch": 0.4399018806214227, "grad_norm": 0.36328125, "learning_rate": 1.3748124485644011e-05, "loss": 0.6407, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3228 }, { "epoch": 0.44003815753611336, "grad_norm": 0.31640625, "learning_rate": 1.374371307776497e-05, "loss": 0.6608, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3229 }, { "epoch": 0.440174434450804, "grad_norm": 0.28515625, "learning_rate": 1.373930082242497e-05, "loss": 0.7612, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3230 }, { "epoch": 0.4403107113654947, "grad_norm": 0.353515625, "learning_rate": 1.373488772062281e-05, "loss": 0.7149, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3231 }, { "epoch": 0.44044698828018536, "grad_norm": 0.345703125, "learning_rate": 1.373047377335748e-05, "loss": 0.6688, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3232 }, { "epoch": 0.440583265194876, "grad_norm": 0.2412109375, "learning_rate": 1.3726058981628167e-05, "loss": 0.6419, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3233 }, { "epoch": 0.44071954210956665, "grad_norm": 0.37109375, "learning_rate": 1.3721643346434234e-05, "loss": 0.8378, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3234 }, { "epoch": 0.4408558190242573, "grad_norm": 0.330078125, "learning_rate": 1.371722686877525e-05, "loss": 0.7532, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3235 }, { "epoch": 0.44099209593894795, "grad_norm": 0.2578125, "learning_rate": 1.371280954965097e-05, "loss": 0.7118, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3236 }, { "epoch": 0.4411283728536386, "grad_norm": 0.37109375, "learning_rate": 1.3708391390061335e-05, "loss": 0.7274, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3237 }, { "epoch": 0.44126464976832924, "grad_norm": 0.30859375, "learning_rate": 1.3703972391006481e-05, "loss": 0.7402, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3238 }, { "epoch": 0.4414009266830199, "grad_norm": 0.28125, "learning_rate": 1.3699552553486734e-05, "loss": 0.7065, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3239 }, { "epoch": 0.44153720359771054, "grad_norm": 0.25390625, "learning_rate": 1.3695131878502612e-05, "loss": 0.6944, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3240 }, { "epoch": 0.4416734805124012, "grad_norm": 0.2890625, "learning_rate": 1.369071036705481e-05, "loss": 0.676, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3241 }, { "epoch": 0.44180975742709183, "grad_norm": 0.37890625, "learning_rate": 1.368628802014423e-05, "loss": 0.7225, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3242 }, { "epoch": 0.4419460343417825, "grad_norm": 0.333984375, "learning_rate": 1.368186483877195e-05, "loss": 0.7271, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3243 }, { "epoch": 0.4420823112564731, "grad_norm": 0.33203125, "learning_rate": 1.3677440823939243e-05, "loss": 0.7511, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3244 }, { "epoch": 0.44221858817116383, "grad_norm": 0.287109375, "learning_rate": 1.367301597664757e-05, "loss": 0.7377, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3245 }, { "epoch": 0.4423548650858545, "grad_norm": 0.44921875, "learning_rate": 1.3668590297898578e-05, "loss": 0.7847, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3246 }, { "epoch": 0.4424911420005451, "grad_norm": 0.392578125, "learning_rate": 1.3664163788694104e-05, "loss": 0.7314, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3247 }, { "epoch": 0.44262741891523577, "grad_norm": 0.365234375, "learning_rate": 1.3659736450036178e-05, "loss": 0.755, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3248 }, { "epoch": 0.4427636958299264, "grad_norm": 0.396484375, "learning_rate": 1.3655308282927005e-05, "loss": 0.759, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3249 }, { "epoch": 0.44289997274461707, "grad_norm": 0.318359375, "learning_rate": 1.365087928836899e-05, "loss": 0.6878, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3250 }, { "epoch": 0.4430362496593077, "grad_norm": 0.306640625, "learning_rate": 1.3646449467364717e-05, "loss": 0.6135, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3251 }, { "epoch": 0.44317252657399836, "grad_norm": 0.31640625, "learning_rate": 1.3642018820916965e-05, "loss": 0.7539, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3252 }, { "epoch": 0.443308803488689, "grad_norm": 0.353515625, "learning_rate": 1.3637587350028692e-05, "loss": 0.6908, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3253 }, { "epoch": 0.44344508040337965, "grad_norm": 0.2890625, "learning_rate": 1.3633155055703049e-05, "loss": 0.7339, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3254 }, { "epoch": 0.4435813573180703, "grad_norm": 0.296875, "learning_rate": 1.3628721938943367e-05, "loss": 0.6833, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3255 }, { "epoch": 0.44371763423276095, "grad_norm": 0.29296875, "learning_rate": 1.362428800075317e-05, "loss": 0.6833, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3256 }, { "epoch": 0.4438539111474516, "grad_norm": 0.275390625, "learning_rate": 1.3619853242136163e-05, "loss": 0.6626, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3257 }, { "epoch": 0.4439901880621423, "grad_norm": 0.306640625, "learning_rate": 1.3615417664096235e-05, "loss": 0.7112, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3258 }, { "epoch": 0.44412646497683295, "grad_norm": 0.392578125, "learning_rate": 1.3610981267637473e-05, "loss": 0.7135, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3259 }, { "epoch": 0.4442627418915236, "grad_norm": 0.2890625, "learning_rate": 1.360654405376413e-05, "loss": 0.6873, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3260 }, { "epoch": 0.44439901880621424, "grad_norm": 0.263671875, "learning_rate": 1.3602106023480659e-05, "loss": 0.7072, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3261 }, { "epoch": 0.4445352957209049, "grad_norm": 0.388671875, "learning_rate": 1.3597667177791692e-05, "loss": 0.7645, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3262 }, { "epoch": 0.44467157263559554, "grad_norm": 0.259765625, "learning_rate": 1.3593227517702046e-05, "loss": 0.7511, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3263 }, { "epoch": 0.4448078495502862, "grad_norm": 0.25, "learning_rate": 1.3588787044216725e-05, "loss": 0.7049, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3264 }, { "epoch": 0.44494412646497683, "grad_norm": 0.4140625, "learning_rate": 1.3584345758340913e-05, "loss": 0.7938, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3265 }, { "epoch": 0.4450804033796675, "grad_norm": 0.28125, "learning_rate": 1.3579903661079981e-05, "loss": 0.6993, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3266 }, { "epoch": 0.4452166802943581, "grad_norm": 0.333984375, "learning_rate": 1.3575460753439482e-05, "loss": 0.716, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3267 }, { "epoch": 0.44535295720904877, "grad_norm": 0.388671875, "learning_rate": 1.3571017036425153e-05, "loss": 0.7795, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3268 }, { "epoch": 0.4454892341237394, "grad_norm": 0.330078125, "learning_rate": 1.3566572511042916e-05, "loss": 0.7445, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3269 }, { "epoch": 0.44562551103843007, "grad_norm": 0.359375, "learning_rate": 1.3562127178298869e-05, "loss": 0.7006, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3270 }, { "epoch": 0.4457617879531207, "grad_norm": 0.35546875, "learning_rate": 1.3557681039199304e-05, "loss": 0.6945, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3271 }, { "epoch": 0.4458980648678114, "grad_norm": 0.40234375, "learning_rate": 1.3553234094750685e-05, "loss": 0.6877, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3272 }, { "epoch": 0.44603434178250206, "grad_norm": 0.271484375, "learning_rate": 1.3548786345959663e-05, "loss": 0.6749, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3273 }, { "epoch": 0.4461706186971927, "grad_norm": 0.294921875, "learning_rate": 1.3544337793833077e-05, "loss": 0.718, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3274 }, { "epoch": 0.44630689561188336, "grad_norm": 0.30859375, "learning_rate": 1.3539888439377937e-05, "loss": 0.6911, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3275 }, { "epoch": 0.446443172526574, "grad_norm": 0.306640625, "learning_rate": 1.3535438283601437e-05, "loss": 0.7843, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3276 }, { "epoch": 0.44657944944126465, "grad_norm": 0.310546875, "learning_rate": 1.3530987327510958e-05, "loss": 0.6462, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3277 }, { "epoch": 0.4467157263559553, "grad_norm": 0.291015625, "learning_rate": 1.352653557211406e-05, "loss": 0.6546, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3278 }, { "epoch": 0.44685200327064595, "grad_norm": 0.255859375, "learning_rate": 1.352208301841848e-05, "loss": 0.6713, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3279 }, { "epoch": 0.4469882801853366, "grad_norm": 0.314453125, "learning_rate": 1.351762966743214e-05, "loss": 0.7301, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3280 }, { "epoch": 0.44712455710002724, "grad_norm": 0.34375, "learning_rate": 1.351317552016314e-05, "loss": 0.78, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3281 }, { "epoch": 0.4472608340147179, "grad_norm": 0.337890625, "learning_rate": 1.3508720577619763e-05, "loss": 0.6929, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3282 }, { "epoch": 0.44739711092940854, "grad_norm": 0.35546875, "learning_rate": 1.350426484081047e-05, "loss": 0.6963, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3283 }, { "epoch": 0.4475333878440992, "grad_norm": 0.3203125, "learning_rate": 1.34998083107439e-05, "loss": 0.7308, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3284 }, { "epoch": 0.4476696647587899, "grad_norm": 0.380859375, "learning_rate": 1.3495350988428877e-05, "loss": 0.6824, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3285 }, { "epoch": 0.44780594167348053, "grad_norm": 0.375, "learning_rate": 1.34908928748744e-05, "loss": 0.7422, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3286 }, { "epoch": 0.4479422185881712, "grad_norm": 0.287109375, "learning_rate": 1.3486433971089646e-05, "loss": 0.7308, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3287 }, { "epoch": 0.44807849550286183, "grad_norm": 0.34375, "learning_rate": 1.3481974278083974e-05, "loss": 0.7418, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3288 }, { "epoch": 0.4482147724175525, "grad_norm": 0.37109375, "learning_rate": 1.3477513796866921e-05, "loss": 0.7475, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3289 }, { "epoch": 0.4483510493322431, "grad_norm": 0.3046875, "learning_rate": 1.3473052528448203e-05, "loss": 0.6857, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3290 }, { "epoch": 0.44848732624693377, "grad_norm": 0.302734375, "learning_rate": 1.3468590473837714e-05, "loss": 0.7056, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3291 }, { "epoch": 0.4486236031616244, "grad_norm": 0.291015625, "learning_rate": 1.3464127634045523e-05, "loss": 0.7463, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3292 }, { "epoch": 0.44875988007631507, "grad_norm": 0.361328125, "learning_rate": 1.3459664010081882e-05, "loss": 0.6693, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3293 }, { "epoch": 0.4488961569910057, "grad_norm": 0.419921875, "learning_rate": 1.3455199602957212e-05, "loss": 0.818, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3294 }, { "epoch": 0.44903243390569636, "grad_norm": 0.283203125, "learning_rate": 1.345073441368212e-05, "loss": 0.6859, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3295 }, { "epoch": 0.449168710820387, "grad_norm": 0.3203125, "learning_rate": 1.3446268443267389e-05, "loss": 0.6217, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3296 }, { "epoch": 0.44930498773507765, "grad_norm": 0.30859375, "learning_rate": 1.3441801692723976e-05, "loss": 0.6526, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3297 }, { "epoch": 0.4494412646497683, "grad_norm": 0.365234375, "learning_rate": 1.3437334163063015e-05, "loss": 0.6933, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3298 }, { "epoch": 0.449577541564459, "grad_norm": 0.306640625, "learning_rate": 1.3432865855295814e-05, "loss": 0.6998, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3299 }, { "epoch": 0.44971381847914965, "grad_norm": 0.3671875, "learning_rate": 1.342839677043386e-05, "loss": 0.7145, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3300 }, { "epoch": 0.4498500953938403, "grad_norm": 0.255859375, "learning_rate": 1.342392690948882e-05, "loss": 0.658, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3301 }, { "epoch": 0.44998637230853095, "grad_norm": 0.3671875, "learning_rate": 1.3419456273472526e-05, "loss": 0.7402, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3302 }, { "epoch": 0.4501226492232216, "grad_norm": 0.314453125, "learning_rate": 1.3414984863396998e-05, "loss": 0.7286, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3303 }, { "epoch": 0.45025892613791224, "grad_norm": 0.30078125, "learning_rate": 1.3410512680274423e-05, "loss": 0.7329, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3304 }, { "epoch": 0.4503952030526029, "grad_norm": 0.3203125, "learning_rate": 1.3406039725117166e-05, "loss": 0.6634, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3305 }, { "epoch": 0.45053147996729354, "grad_norm": 0.353515625, "learning_rate": 1.3401565998937762e-05, "loss": 0.7356, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3306 }, { "epoch": 0.4506677568819842, "grad_norm": 0.408203125, "learning_rate": 1.339709150274893e-05, "loss": 0.7081, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3307 }, { "epoch": 0.45080403379667483, "grad_norm": 0.41015625, "learning_rate": 1.3392616237563555e-05, "loss": 0.7971, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3308 }, { "epoch": 0.4509403107113655, "grad_norm": 0.267578125, "learning_rate": 1.3388140204394696e-05, "loss": 0.7305, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3309 }, { "epoch": 0.4510765876260561, "grad_norm": 0.267578125, "learning_rate": 1.3383663404255589e-05, "loss": 0.7674, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3310 }, { "epoch": 0.45121286454074677, "grad_norm": 0.31640625, "learning_rate": 1.3379185838159648e-05, "loss": 0.6468, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3311 }, { "epoch": 0.4513491414554375, "grad_norm": 0.341796875, "learning_rate": 1.3374707507120452e-05, "loss": 0.6763, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3312 }, { "epoch": 0.4514854183701281, "grad_norm": 0.41796875, "learning_rate": 1.3370228412151757e-05, "loss": 0.7596, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3313 }, { "epoch": 0.45162169528481877, "grad_norm": 0.298828125, "learning_rate": 1.3365748554267493e-05, "loss": 0.7453, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3314 }, { "epoch": 0.4517579721995094, "grad_norm": 0.337890625, "learning_rate": 1.336126793448176e-05, "loss": 0.7523, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3315 }, { "epoch": 0.45189424911420006, "grad_norm": 0.302734375, "learning_rate": 1.3356786553808834e-05, "loss": 0.7288, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3316 }, { "epoch": 0.4520305260288907, "grad_norm": 0.390625, "learning_rate": 1.3352304413263157e-05, "loss": 0.7574, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3317 }, { "epoch": 0.45216680294358136, "grad_norm": 0.3359375, "learning_rate": 1.3347821513859351e-05, "loss": 0.7226, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3318 }, { "epoch": 0.452303079858272, "grad_norm": 0.353515625, "learning_rate": 1.3343337856612205e-05, "loss": 0.7563, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3319 }, { "epoch": 0.45243935677296265, "grad_norm": 0.25390625, "learning_rate": 1.3338853442536682e-05, "loss": 0.6371, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3320 }, { "epoch": 0.4525756336876533, "grad_norm": 0.296875, "learning_rate": 1.3334368272647908e-05, "loss": 0.71, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3321 }, { "epoch": 0.45271191060234395, "grad_norm": 0.3046875, "learning_rate": 1.3329882347961196e-05, "loss": 0.6702, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3322 }, { "epoch": 0.4528481875170346, "grad_norm": 0.3125, "learning_rate": 1.3325395669492017e-05, "loss": 0.6701, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3323 }, { "epoch": 0.45298446443172524, "grad_norm": 0.3359375, "learning_rate": 1.3320908238256013e-05, "loss": 0.6685, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3324 }, { "epoch": 0.4531207413464159, "grad_norm": 0.28125, "learning_rate": 1.3316420055269003e-05, "loss": 0.7342, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3325 }, { "epoch": 0.4532570182611066, "grad_norm": 0.333984375, "learning_rate": 1.3311931121546973e-05, "loss": 0.6734, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3326 }, { "epoch": 0.45339329517579724, "grad_norm": 0.404296875, "learning_rate": 1.3307441438106077e-05, "loss": 0.6839, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3327 }, { "epoch": 0.4535295720904879, "grad_norm": 0.4296875, "learning_rate": 1.3302951005962643e-05, "loss": 0.7376, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3328 }, { "epoch": 0.45366584900517853, "grad_norm": 0.251953125, "learning_rate": 1.3298459826133166e-05, "loss": 0.6958, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3329 }, { "epoch": 0.4538021259198692, "grad_norm": 0.306640625, "learning_rate": 1.3293967899634308e-05, "loss": 0.6599, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3330 }, { "epoch": 0.45393840283455983, "grad_norm": 0.392578125, "learning_rate": 1.3289475227482906e-05, "loss": 0.6364, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3331 }, { "epoch": 0.4540746797492505, "grad_norm": 0.302734375, "learning_rate": 1.3284981810695958e-05, "loss": 0.686, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3332 }, { "epoch": 0.4542109566639411, "grad_norm": 0.333984375, "learning_rate": 1.3280487650290637e-05, "loss": 0.7043, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3333 }, { "epoch": 0.45434723357863177, "grad_norm": 0.43359375, "learning_rate": 1.3275992747284282e-05, "loss": 0.7522, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3334 }, { "epoch": 0.4544835104933224, "grad_norm": 0.291015625, "learning_rate": 1.32714971026944e-05, "loss": 0.726, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3335 }, { "epoch": 0.45461978740801307, "grad_norm": 0.46484375, "learning_rate": 1.3267000717538666e-05, "loss": 0.8082, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3336 }, { "epoch": 0.4547560643227037, "grad_norm": 0.28515625, "learning_rate": 1.326250359283492e-05, "loss": 0.7828, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3337 }, { "epoch": 0.45489234123739436, "grad_norm": 0.337890625, "learning_rate": 1.3258005729601178e-05, "loss": 0.6708, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3338 }, { "epoch": 0.45502861815208506, "grad_norm": 0.7109375, "learning_rate": 1.3253507128855612e-05, "loss": 0.6916, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3339 }, { "epoch": 0.4551648950667757, "grad_norm": 0.296875, "learning_rate": 1.3249007791616568e-05, "loss": 0.7669, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3340 }, { "epoch": 0.45530117198146636, "grad_norm": 0.427734375, "learning_rate": 1.3244507718902555e-05, "loss": 0.7662, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3341 }, { "epoch": 0.455437448896157, "grad_norm": 0.322265625, "learning_rate": 1.3240006911732255e-05, "loss": 0.7495, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3342 }, { "epoch": 0.45557372581084765, "grad_norm": 0.333984375, "learning_rate": 1.3235505371124509e-05, "loss": 0.7113, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3343 }, { "epoch": 0.4557100027255383, "grad_norm": 0.283203125, "learning_rate": 1.3231003098098325e-05, "loss": 0.7114, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3344 }, { "epoch": 0.45584627964022895, "grad_norm": 0.326171875, "learning_rate": 1.322650009367288e-05, "loss": 0.7472, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3345 }, { "epoch": 0.4559825565549196, "grad_norm": 0.267578125, "learning_rate": 1.322199635886752e-05, "loss": 0.7163, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3346 }, { "epoch": 0.45611883346961024, "grad_norm": 0.3125, "learning_rate": 1.3217491894701741e-05, "loss": 0.7266, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3347 }, { "epoch": 0.4562551103843009, "grad_norm": 0.3828125, "learning_rate": 1.3212986702195223e-05, "loss": 0.7391, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3348 }, { "epoch": 0.45639138729899154, "grad_norm": 0.328125, "learning_rate": 1.3208480782367797e-05, "loss": 0.7131, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3349 }, { "epoch": 0.4565276642136822, "grad_norm": 0.390625, "learning_rate": 1.3203974136239471e-05, "loss": 0.73, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3350 }, { "epoch": 0.45666394112837283, "grad_norm": 0.310546875, "learning_rate": 1.3199466764830402e-05, "loss": 0.6562, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3351 }, { "epoch": 0.4568002180430635, "grad_norm": 0.287109375, "learning_rate": 1.3194958669160924e-05, "loss": 0.782, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3352 }, { "epoch": 0.4569364949577542, "grad_norm": 0.28515625, "learning_rate": 1.3190449850251529e-05, "loss": 0.7252, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3353 }, { "epoch": 0.4570727718724448, "grad_norm": 0.400390625, "learning_rate": 1.3185940309122878e-05, "loss": 0.749, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3354 }, { "epoch": 0.4572090487871355, "grad_norm": 0.267578125, "learning_rate": 1.3181430046795786e-05, "loss": 0.7157, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3355 }, { "epoch": 0.4573453257018261, "grad_norm": 0.314453125, "learning_rate": 1.3176919064291242e-05, "loss": 0.6891, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3356 }, { "epoch": 0.45748160261651677, "grad_norm": 0.298828125, "learning_rate": 1.3172407362630395e-05, "loss": 0.6211, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3357 }, { "epoch": 0.4576178795312074, "grad_norm": 0.306640625, "learning_rate": 1.3167894942834545e-05, "loss": 0.7234, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3358 }, { "epoch": 0.45775415644589806, "grad_norm": 0.30859375, "learning_rate": 1.3163381805925173e-05, "loss": 0.7414, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3359 }, { "epoch": 0.4578904333605887, "grad_norm": 0.33203125, "learning_rate": 1.315886795292391e-05, "loss": 0.7753, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3360 }, { "epoch": 0.45802671027527936, "grad_norm": 0.35546875, "learning_rate": 1.3154353384852559e-05, "loss": 0.7121, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3361 }, { "epoch": 0.45816298718997, "grad_norm": 0.30078125, "learning_rate": 1.3149838102733068e-05, "loss": 0.7144, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3362 }, { "epoch": 0.45829926410466065, "grad_norm": 0.61328125, "learning_rate": 1.3145322107587563e-05, "loss": 0.7694, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3363 }, { "epoch": 0.4584355410193513, "grad_norm": 0.38671875, "learning_rate": 1.3140805400438327e-05, "loss": 0.6579, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3364 }, { "epoch": 0.45857181793404195, "grad_norm": 0.373046875, "learning_rate": 1.3136287982307805e-05, "loss": 0.7507, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3365 }, { "epoch": 0.45870809484873265, "grad_norm": 0.310546875, "learning_rate": 1.3131769854218594e-05, "loss": 0.7413, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3366 }, { "epoch": 0.4588443717634233, "grad_norm": 0.265625, "learning_rate": 1.312725101719346e-05, "loss": 0.7018, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3367 }, { "epoch": 0.45898064867811394, "grad_norm": 0.53515625, "learning_rate": 1.3122731472255334e-05, "loss": 0.7171, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3368 }, { "epoch": 0.4591169255928046, "grad_norm": 0.279296875, "learning_rate": 1.31182112204273e-05, "loss": 0.6644, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3369 }, { "epoch": 0.45925320250749524, "grad_norm": 0.31640625, "learning_rate": 1.3113690262732597e-05, "loss": 0.7024, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3370 }, { "epoch": 0.4593894794221859, "grad_norm": 0.263671875, "learning_rate": 1.3109168600194633e-05, "loss": 0.6658, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3371 }, { "epoch": 0.45952575633687653, "grad_norm": 0.33984375, "learning_rate": 1.3104646233836978e-05, "loss": 0.7756, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3372 }, { "epoch": 0.4596620332515672, "grad_norm": 0.279296875, "learning_rate": 1.3100123164683347e-05, "loss": 0.6792, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3373 }, { "epoch": 0.45979831016625783, "grad_norm": 0.298828125, "learning_rate": 1.309559939375763e-05, "loss": 0.7149, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3374 }, { "epoch": 0.4599345870809485, "grad_norm": 0.3828125, "learning_rate": 1.3091074922083866e-05, "loss": 0.821, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3375 }, { "epoch": 0.4600708639956391, "grad_norm": 0.26953125, "learning_rate": 1.308654975068626e-05, "loss": 0.6784, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3376 }, { "epoch": 0.46020714091032977, "grad_norm": 0.2412109375, "learning_rate": 1.3082023880589163e-05, "loss": 0.7114, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3377 }, { "epoch": 0.4603434178250204, "grad_norm": 0.400390625, "learning_rate": 1.3077497312817097e-05, "loss": 0.7313, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3378 }, { "epoch": 0.4604796947397111, "grad_norm": 0.423828125, "learning_rate": 1.3072970048394737e-05, "loss": 0.7889, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3379 }, { "epoch": 0.46061597165440177, "grad_norm": 0.291015625, "learning_rate": 1.3068442088346915e-05, "loss": 0.6773, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3380 }, { "epoch": 0.4607522485690924, "grad_norm": 0.263671875, "learning_rate": 1.3063913433698622e-05, "loss": 0.7434, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3381 }, { "epoch": 0.46088852548378306, "grad_norm": 0.30078125, "learning_rate": 1.3059384085475006e-05, "loss": 0.6957, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3382 }, { "epoch": 0.4610248023984737, "grad_norm": 0.345703125, "learning_rate": 1.3054854044701368e-05, "loss": 0.7143, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3383 }, { "epoch": 0.46116107931316436, "grad_norm": 0.263671875, "learning_rate": 1.3050323312403175e-05, "loss": 0.7024, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3384 }, { "epoch": 0.461297356227855, "grad_norm": 0.4296875, "learning_rate": 1.3045791889606038e-05, "loss": 0.714, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3385 }, { "epoch": 0.46143363314254565, "grad_norm": 0.328125, "learning_rate": 1.3041259777335737e-05, "loss": 0.7314, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3386 }, { "epoch": 0.4615699100572363, "grad_norm": 0.28515625, "learning_rate": 1.3036726976618202e-05, "loss": 0.6694, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3387 }, { "epoch": 0.46170618697192695, "grad_norm": 0.390625, "learning_rate": 1.3032193488479513e-05, "loss": 0.7016, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3388 }, { "epoch": 0.4618424638866176, "grad_norm": 0.296875, "learning_rate": 1.3027659313945915e-05, "loss": 0.7567, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3389 }, { "epoch": 0.46197874080130824, "grad_norm": 0.302734375, "learning_rate": 1.3023124454043807e-05, "loss": 0.6678, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3390 }, { "epoch": 0.4621150177159989, "grad_norm": 0.484375, "learning_rate": 1.3018588909799739e-05, "loss": 0.7376, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3391 }, { "epoch": 0.46225129463068954, "grad_norm": 0.2578125, "learning_rate": 1.3014052682240417e-05, "loss": 0.673, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3392 }, { "epoch": 0.46238757154538024, "grad_norm": 0.34765625, "learning_rate": 1.3009515772392706e-05, "loss": 0.6375, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3393 }, { "epoch": 0.4625238484600709, "grad_norm": 0.296875, "learning_rate": 1.3004978181283621e-05, "loss": 0.6383, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3394 }, { "epoch": 0.46266012537476153, "grad_norm": 1.0546875, "learning_rate": 1.3000439909940333e-05, "loss": 0.7133, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3395 }, { "epoch": 0.4627964022894522, "grad_norm": 0.361328125, "learning_rate": 1.2995900959390164e-05, "loss": 0.8026, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3396 }, { "epoch": 0.4629326792041428, "grad_norm": 0.427734375, "learning_rate": 1.2991361330660594e-05, "loss": 0.7917, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3397 }, { "epoch": 0.4630689561188335, "grad_norm": 0.275390625, "learning_rate": 1.2986821024779252e-05, "loss": 0.6496, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3398 }, { "epoch": 0.4632052330335241, "grad_norm": 0.255859375, "learning_rate": 1.2982280042773929e-05, "loss": 0.6364, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3399 }, { "epoch": 0.46334150994821477, "grad_norm": 0.283203125, "learning_rate": 1.2977738385672558e-05, "loss": 0.6561, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3400 }, { "epoch": 0.4634777868629054, "grad_norm": 0.244140625, "learning_rate": 1.297319605450323e-05, "loss": 0.6887, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3401 }, { "epoch": 0.46361406377759606, "grad_norm": 0.388671875, "learning_rate": 1.296865305029419e-05, "loss": 0.817, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3402 }, { "epoch": 0.4637503406922867, "grad_norm": 0.294921875, "learning_rate": 1.2964109374073832e-05, "loss": 0.6653, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3403 }, { "epoch": 0.46388661760697736, "grad_norm": 0.34375, "learning_rate": 1.2959565026870707e-05, "loss": 0.6923, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3404 }, { "epoch": 0.464022894521668, "grad_norm": 0.380859375, "learning_rate": 1.295502000971351e-05, "loss": 0.723, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3405 }, { "epoch": 0.4641591714363587, "grad_norm": 0.400390625, "learning_rate": 1.2950474323631097e-05, "loss": 0.7324, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3406 }, { "epoch": 0.46429544835104936, "grad_norm": 0.33203125, "learning_rate": 1.2945927969652467e-05, "loss": 0.7561, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3407 }, { "epoch": 0.46443172526574, "grad_norm": 0.275390625, "learning_rate": 1.2941380948806778e-05, "loss": 0.7451, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3408 }, { "epoch": 0.46456800218043065, "grad_norm": 0.283203125, "learning_rate": 1.2936833262123334e-05, "loss": 0.7658, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3409 }, { "epoch": 0.4647042790951213, "grad_norm": 0.427734375, "learning_rate": 1.2932284910631592e-05, "loss": 0.7026, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3410 }, { "epoch": 0.46484055600981194, "grad_norm": 0.462890625, "learning_rate": 1.2927735895361151e-05, "loss": 0.8608, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3411 }, { "epoch": 0.4649768329245026, "grad_norm": 0.330078125, "learning_rate": 1.2923186217341775e-05, "loss": 0.6703, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3412 }, { "epoch": 0.46511310983919324, "grad_norm": 0.396484375, "learning_rate": 1.2918635877603367e-05, "loss": 0.7008, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3413 }, { "epoch": 0.4652493867538839, "grad_norm": 0.30859375, "learning_rate": 1.291408487717599e-05, "loss": 0.7192, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3414 }, { "epoch": 0.46538566366857453, "grad_norm": 0.255859375, "learning_rate": 1.2909533217089838e-05, "loss": 0.7629, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3415 }, { "epoch": 0.4655219405832652, "grad_norm": 0.287109375, "learning_rate": 1.2904980898375275e-05, "loss": 0.7095, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3416 }, { "epoch": 0.46565821749795583, "grad_norm": 0.5859375, "learning_rate": 1.2900427922062802e-05, "loss": 0.8486, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3417 }, { "epoch": 0.4657944944126465, "grad_norm": 0.283203125, "learning_rate": 1.2895874289183072e-05, "loss": 0.7264, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3418 }, { "epoch": 0.4659307713273371, "grad_norm": 0.302734375, "learning_rate": 1.289132000076689e-05, "loss": 0.756, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3419 }, { "epoch": 0.4660670482420278, "grad_norm": 0.421875, "learning_rate": 1.2886765057845202e-05, "loss": 0.6679, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3420 }, { "epoch": 0.4662033251567185, "grad_norm": 0.375, "learning_rate": 1.2882209461449113e-05, "loss": 0.7478, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3421 }, { "epoch": 0.4663396020714091, "grad_norm": 0.33203125, "learning_rate": 1.2877653212609859e-05, "loss": 0.7225, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3422 }, { "epoch": 0.46647587898609977, "grad_norm": 0.384765625, "learning_rate": 1.2873096312358842e-05, "loss": 0.6418, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3423 }, { "epoch": 0.4666121559007904, "grad_norm": 0.275390625, "learning_rate": 1.28685387617276e-05, "loss": 0.6757, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3424 }, { "epoch": 0.46674843281548106, "grad_norm": 0.33984375, "learning_rate": 1.2863980561747823e-05, "loss": 0.7902, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3425 }, { "epoch": 0.4668847097301717, "grad_norm": 0.263671875, "learning_rate": 1.2859421713451345e-05, "loss": 0.7091, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3426 }, { "epoch": 0.46702098664486236, "grad_norm": 0.26953125, "learning_rate": 1.2854862217870153e-05, "loss": 0.7415, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3427 }, { "epoch": 0.467157263559553, "grad_norm": 0.28515625, "learning_rate": 1.2850302076036367e-05, "loss": 0.6804, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3428 }, { "epoch": 0.46729354047424365, "grad_norm": 0.28125, "learning_rate": 1.2845741288982271e-05, "loss": 0.724, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3429 }, { "epoch": 0.4674298173889343, "grad_norm": 0.326171875, "learning_rate": 1.2841179857740285e-05, "loss": 0.763, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3430 }, { "epoch": 0.46756609430362495, "grad_norm": 0.35546875, "learning_rate": 1.2836617783342968e-05, "loss": 0.76, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3431 }, { "epoch": 0.4677023712183156, "grad_norm": 0.275390625, "learning_rate": 1.283205506682304e-05, "loss": 0.6789, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3432 }, { "epoch": 0.4678386481330063, "grad_norm": 0.32421875, "learning_rate": 1.2827491709213362e-05, "loss": 0.7131, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3433 }, { "epoch": 0.46797492504769694, "grad_norm": 0.2734375, "learning_rate": 1.2822927711546928e-05, "loss": 0.7471, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3434 }, { "epoch": 0.4681112019623876, "grad_norm": 0.30859375, "learning_rate": 1.2818363074856894e-05, "loss": 0.7102, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3435 }, { "epoch": 0.46824747887707824, "grad_norm": 0.30859375, "learning_rate": 1.2813797800176548e-05, "loss": 0.6906, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3436 }, { "epoch": 0.4683837557917689, "grad_norm": 0.435546875, "learning_rate": 1.2809231888539331e-05, "loss": 0.8073, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3437 }, { "epoch": 0.46852003270645953, "grad_norm": 0.37890625, "learning_rate": 1.2804665340978819e-05, "loss": 0.6991, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3438 }, { "epoch": 0.4686563096211502, "grad_norm": 0.29296875, "learning_rate": 1.2800098158528739e-05, "loss": 0.7044, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3439 }, { "epoch": 0.4687925865358408, "grad_norm": 0.302734375, "learning_rate": 1.2795530342222966e-05, "loss": 0.7051, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3440 }, { "epoch": 0.4689288634505315, "grad_norm": 0.330078125, "learning_rate": 1.2790961893095505e-05, "loss": 0.6782, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3441 }, { "epoch": 0.4690651403652221, "grad_norm": 0.341796875, "learning_rate": 1.2786392812180514e-05, "loss": 0.7716, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3442 }, { "epoch": 0.46920141727991277, "grad_norm": 0.27734375, "learning_rate": 1.2781823100512294e-05, "loss": 0.776, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3443 }, { "epoch": 0.4693376941946034, "grad_norm": 1.2265625, "learning_rate": 1.2777252759125282e-05, "loss": 0.6731, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3444 }, { "epoch": 0.46947397110929406, "grad_norm": 0.29296875, "learning_rate": 1.2772681789054064e-05, "loss": 0.7341, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3445 }, { "epoch": 0.4696102480239847, "grad_norm": 0.33984375, "learning_rate": 1.276811019133337e-05, "loss": 0.7318, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3446 }, { "epoch": 0.4697465249386754, "grad_norm": 0.3046875, "learning_rate": 1.2763537966998063e-05, "loss": 0.6943, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3447 }, { "epoch": 0.46988280185336606, "grad_norm": 0.279296875, "learning_rate": 1.2758965117083157e-05, "loss": 0.7354, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3448 }, { "epoch": 0.4700190787680567, "grad_norm": 2.09375, "learning_rate": 1.2754391642623805e-05, "loss": 0.7883, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3449 }, { "epoch": 0.47015535568274736, "grad_norm": 0.322265625, "learning_rate": 1.2749817544655295e-05, "loss": 0.7235, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3450 }, { "epoch": 0.470291632597438, "grad_norm": 0.32421875, "learning_rate": 1.2745242824213066e-05, "loss": 0.6639, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3451 }, { "epoch": 0.47042790951212865, "grad_norm": 0.310546875, "learning_rate": 1.2740667482332691e-05, "loss": 0.7195, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3452 }, { "epoch": 0.4705641864268193, "grad_norm": 0.400390625, "learning_rate": 1.2736091520049886e-05, "loss": 0.691, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3453 }, { "epoch": 0.47070046334150994, "grad_norm": 0.314453125, "learning_rate": 1.2731514938400509e-05, "loss": 0.6669, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3454 }, { "epoch": 0.4708367402562006, "grad_norm": 0.318359375, "learning_rate": 1.2726937738420556e-05, "loss": 0.7046, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3455 }, { "epoch": 0.47097301717089124, "grad_norm": 0.298828125, "learning_rate": 1.2722359921146163e-05, "loss": 0.7687, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3456 }, { "epoch": 0.4711092940855819, "grad_norm": 0.345703125, "learning_rate": 1.2717781487613607e-05, "loss": 0.738, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3457 }, { "epoch": 0.47124557100027253, "grad_norm": 0.392578125, "learning_rate": 1.2713202438859304e-05, "loss": 0.7166, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3458 }, { "epoch": 0.4713818479149632, "grad_norm": 0.287109375, "learning_rate": 1.2708622775919812e-05, "loss": 0.6635, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3459 }, { "epoch": 0.4715181248296539, "grad_norm": 0.34765625, "learning_rate": 1.2704042499831818e-05, "loss": 0.7131, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3460 }, { "epoch": 0.47165440174434453, "grad_norm": 0.27734375, "learning_rate": 1.269946161163216e-05, "loss": 0.7299, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3461 }, { "epoch": 0.4717906786590352, "grad_norm": 0.322265625, "learning_rate": 1.2694880112357809e-05, "loss": 0.6794, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3462 }, { "epoch": 0.4719269555737258, "grad_norm": 0.390625, "learning_rate": 1.2690298003045879e-05, "loss": 0.7598, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3463 }, { "epoch": 0.4720632324884165, "grad_norm": 0.296875, "learning_rate": 1.2685715284733607e-05, "loss": 0.6674, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3464 }, { "epoch": 0.4721995094031071, "grad_norm": 0.30078125, "learning_rate": 1.2681131958458386e-05, "loss": 0.7151, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3465 }, { "epoch": 0.47233578631779777, "grad_norm": 0.37890625, "learning_rate": 1.2676548025257739e-05, "loss": 0.7063, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3466 }, { "epoch": 0.4724720632324884, "grad_norm": 0.33984375, "learning_rate": 1.267196348616933e-05, "loss": 0.7635, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3467 }, { "epoch": 0.47260834014717906, "grad_norm": 0.5, "learning_rate": 1.2667378342230952e-05, "loss": 0.7106, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3468 }, { "epoch": 0.4727446170618697, "grad_norm": 0.310546875, "learning_rate": 1.266279259448054e-05, "loss": 0.7457, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3469 }, { "epoch": 0.47288089397656036, "grad_norm": 0.40625, "learning_rate": 1.2658206243956168e-05, "loss": 0.8138, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3470 }, { "epoch": 0.473017170891251, "grad_norm": 0.236328125, "learning_rate": 1.2653619291696042e-05, "loss": 0.7432, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3471 }, { "epoch": 0.47315344780594165, "grad_norm": 0.283203125, "learning_rate": 1.2649031738738506e-05, "loss": 0.6689, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3472 }, { "epoch": 0.4732897247206323, "grad_norm": 0.375, "learning_rate": 1.2644443586122044e-05, "loss": 0.6989, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3473 }, { "epoch": 0.473426001635323, "grad_norm": 0.341796875, "learning_rate": 1.263985483488527e-05, "loss": 0.7376, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3474 }, { "epoch": 0.47356227855001365, "grad_norm": 0.33203125, "learning_rate": 1.2635265486066935e-05, "loss": 0.7337, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3475 }, { "epoch": 0.4736985554647043, "grad_norm": 0.2890625, "learning_rate": 1.2630675540705926e-05, "loss": 0.6999, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3476 }, { "epoch": 0.47383483237939494, "grad_norm": 0.3671875, "learning_rate": 1.2626084999841261e-05, "loss": 0.6844, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3477 }, { "epoch": 0.4739711092940856, "grad_norm": 0.306640625, "learning_rate": 1.2621493864512104e-05, "loss": 0.6497, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3478 }, { "epoch": 0.47410738620877624, "grad_norm": 0.50390625, "learning_rate": 1.2616902135757743e-05, "loss": 0.7476, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3479 }, { "epoch": 0.4742436631234669, "grad_norm": 0.28515625, "learning_rate": 1.2612309814617599e-05, "loss": 0.6948, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3480 }, { "epoch": 0.47437994003815753, "grad_norm": 0.306640625, "learning_rate": 1.2607716902131238e-05, "loss": 0.818, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3481 }, { "epoch": 0.4745162169528482, "grad_norm": 0.30859375, "learning_rate": 1.2603123399338348e-05, "loss": 0.675, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3482 }, { "epoch": 0.4746524938675388, "grad_norm": 0.4296875, "learning_rate": 1.2598529307278761e-05, "loss": 0.7732, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3483 }, { "epoch": 0.4747887707822295, "grad_norm": 0.5703125, "learning_rate": 1.2593934626992437e-05, "loss": 0.7421, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3484 }, { "epoch": 0.4749250476969201, "grad_norm": 0.4375, "learning_rate": 1.2589339359519465e-05, "loss": 0.7756, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3485 }, { "epoch": 0.47506132461161077, "grad_norm": 0.3984375, "learning_rate": 1.2584743505900078e-05, "loss": 0.778, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3486 }, { "epoch": 0.47519760152630147, "grad_norm": 0.26171875, "learning_rate": 1.2580147067174631e-05, "loss": 0.7356, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3487 }, { "epoch": 0.4753338784409921, "grad_norm": 0.287109375, "learning_rate": 1.2575550044383614e-05, "loss": 0.6556, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3488 }, { "epoch": 0.47547015535568277, "grad_norm": 0.80078125, "learning_rate": 1.2570952438567657e-05, "loss": 0.7336, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3489 }, { "epoch": 0.4756064322703734, "grad_norm": 0.30078125, "learning_rate": 1.2566354250767509e-05, "loss": 0.7083, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3490 }, { "epoch": 0.47574270918506406, "grad_norm": 0.275390625, "learning_rate": 1.2561755482024062e-05, "loss": 0.7256, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3491 }, { "epoch": 0.4758789860997547, "grad_norm": 0.55859375, "learning_rate": 1.2557156133378336e-05, "loss": 0.8105, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3492 }, { "epoch": 0.47601526301444536, "grad_norm": 0.326171875, "learning_rate": 1.255255620587148e-05, "loss": 0.736, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3493 }, { "epoch": 0.476151539929136, "grad_norm": 0.322265625, "learning_rate": 1.2547955700544773e-05, "loss": 0.7125, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3494 }, { "epoch": 0.47628781684382665, "grad_norm": 0.369140625, "learning_rate": 1.2543354618439629e-05, "loss": 0.6746, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3495 }, { "epoch": 0.4764240937585173, "grad_norm": 0.33203125, "learning_rate": 1.2538752960597593e-05, "loss": 0.7347, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3496 }, { "epoch": 0.47656037067320794, "grad_norm": 0.302734375, "learning_rate": 1.2534150728060332e-05, "loss": 0.708, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3497 }, { "epoch": 0.4766966475878986, "grad_norm": 0.263671875, "learning_rate": 1.2529547921869658e-05, "loss": 0.7065, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3498 }, { "epoch": 0.47683292450258924, "grad_norm": 0.357421875, "learning_rate": 1.2524944543067496e-05, "loss": 0.7465, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3499 }, { "epoch": 0.4769692014172799, "grad_norm": 0.30078125, "learning_rate": 1.2520340592695915e-05, "loss": 0.7242, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3500 }, { "epoch": 0.4771054783319706, "grad_norm": 0.279296875, "learning_rate": 1.2515736071797106e-05, "loss": 0.7146, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3501 }, { "epoch": 0.47724175524666124, "grad_norm": 0.416015625, "learning_rate": 1.2511130981413384e-05, "loss": 0.6889, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3502 }, { "epoch": 0.4773780321613519, "grad_norm": 0.51171875, "learning_rate": 1.2506525322587207e-05, "loss": 0.7359, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3503 }, { "epoch": 0.47751430907604253, "grad_norm": 0.263671875, "learning_rate": 1.250191909636115e-05, "loss": 0.6664, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3504 }, { "epoch": 0.4776505859907332, "grad_norm": 0.2578125, "learning_rate": 1.2497312303777922e-05, "loss": 0.6775, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3505 }, { "epoch": 0.4777868629054238, "grad_norm": 0.2890625, "learning_rate": 1.2492704945880355e-05, "loss": 0.6567, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3506 }, { "epoch": 0.4779231398201145, "grad_norm": 0.333984375, "learning_rate": 1.2488097023711413e-05, "loss": 0.6763, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3507 }, { "epoch": 0.4780594167348051, "grad_norm": 0.349609375, "learning_rate": 1.2483488538314192e-05, "loss": 0.7266, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3508 }, { "epoch": 0.47819569364949577, "grad_norm": 0.435546875, "learning_rate": 1.2478879490731908e-05, "loss": 0.8037, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3509 }, { "epoch": 0.4783319705641864, "grad_norm": 0.30859375, "learning_rate": 1.2474269882007905e-05, "loss": 0.706, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3510 }, { "epoch": 0.47846824747887706, "grad_norm": 0.484375, "learning_rate": 1.2469659713185658e-05, "loss": 0.8011, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3511 }, { "epoch": 0.4786045243935677, "grad_norm": 0.453125, "learning_rate": 1.246504898530877e-05, "loss": 0.7109, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3512 }, { "epoch": 0.47874080130825836, "grad_norm": 0.279296875, "learning_rate": 1.2460437699420959e-05, "loss": 0.6603, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3513 }, { "epoch": 0.47887707822294906, "grad_norm": 0.41015625, "learning_rate": 1.2455825856566083e-05, "loss": 0.7559, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3514 }, { "epoch": 0.4790133551376397, "grad_norm": 0.39453125, "learning_rate": 1.245121345778812e-05, "loss": 0.7733, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3515 }, { "epoch": 0.47914963205233035, "grad_norm": 0.298828125, "learning_rate": 1.2446600504131178e-05, "loss": 0.688, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3516 }, { "epoch": 0.479285908967021, "grad_norm": 0.76953125, "learning_rate": 1.2441986996639481e-05, "loss": 0.7579, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3517 }, { "epoch": 0.47942218588171165, "grad_norm": 0.37109375, "learning_rate": 1.2437372936357388e-05, "loss": 0.6922, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3518 }, { "epoch": 0.4795584627964023, "grad_norm": 0.294921875, "learning_rate": 1.2432758324329382e-05, "loss": 0.7049, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3519 }, { "epoch": 0.47969473971109294, "grad_norm": 0.314453125, "learning_rate": 1.242814316160006e-05, "loss": 0.7005, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3520 }, { "epoch": 0.4798310166257836, "grad_norm": 0.265625, "learning_rate": 1.2423527449214158e-05, "loss": 0.7222, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3521 }, { "epoch": 0.47996729354047424, "grad_norm": 0.390625, "learning_rate": 1.241891118821653e-05, "loss": 0.7245, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3522 }, { "epoch": 0.4801035704551649, "grad_norm": 0.28515625, "learning_rate": 1.241429437965216e-05, "loss": 0.7021, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3523 }, { "epoch": 0.48023984736985553, "grad_norm": 0.337890625, "learning_rate": 1.2409677024566145e-05, "loss": 0.7086, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3524 }, { "epoch": 0.4803761242845462, "grad_norm": 0.2431640625, "learning_rate": 1.2405059124003711e-05, "loss": 0.7466, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3525 }, { "epoch": 0.4805124011992368, "grad_norm": 0.298828125, "learning_rate": 1.240044067901021e-05, "loss": 0.6727, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3526 }, { "epoch": 0.4806486781139275, "grad_norm": 0.546875, "learning_rate": 1.2395821690631115e-05, "loss": 0.748, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3527 }, { "epoch": 0.4807849550286182, "grad_norm": 0.330078125, "learning_rate": 1.2391202159912024e-05, "loss": 0.6852, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3528 }, { "epoch": 0.4809212319433088, "grad_norm": 0.357421875, "learning_rate": 1.238658208789865e-05, "loss": 0.8054, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3529 }, { "epoch": 0.48105750885799947, "grad_norm": 0.275390625, "learning_rate": 1.2381961475636841e-05, "loss": 0.712, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3530 }, { "epoch": 0.4811937857726901, "grad_norm": 0.291015625, "learning_rate": 1.237734032417256e-05, "loss": 0.6851, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3531 }, { "epoch": 0.48133006268738077, "grad_norm": 0.375, "learning_rate": 1.2372718634551888e-05, "loss": 0.7153, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3532 }, { "epoch": 0.4814663396020714, "grad_norm": 0.2734375, "learning_rate": 1.2368096407821038e-05, "loss": 0.6929, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3533 }, { "epoch": 0.48160261651676206, "grad_norm": 0.263671875, "learning_rate": 1.2363473645026334e-05, "loss": 0.7198, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3534 }, { "epoch": 0.4817388934314527, "grad_norm": 0.345703125, "learning_rate": 1.2358850347214232e-05, "loss": 0.7017, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3535 }, { "epoch": 0.48187517034614336, "grad_norm": 0.404296875, "learning_rate": 1.2354226515431302e-05, "loss": 0.8649, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3536 }, { "epoch": 0.482011447260834, "grad_norm": 0.25, "learning_rate": 1.2349602150724236e-05, "loss": 0.6503, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3537 }, { "epoch": 0.48214772417552465, "grad_norm": 0.333984375, "learning_rate": 1.2344977254139852e-05, "loss": 0.693, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3538 }, { "epoch": 0.4822840010902153, "grad_norm": 0.3125, "learning_rate": 1.2340351826725074e-05, "loss": 0.7778, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3539 }, { "epoch": 0.48242027800490594, "grad_norm": 0.291015625, "learning_rate": 1.2335725869526962e-05, "loss": 0.7249, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3540 }, { "epoch": 0.48255655491959665, "grad_norm": 0.40625, "learning_rate": 1.233109938359269e-05, "loss": 0.7286, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3541 }, { "epoch": 0.4826928318342873, "grad_norm": 0.34375, "learning_rate": 1.2326472369969551e-05, "loss": 0.666, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3542 }, { "epoch": 0.48282910874897794, "grad_norm": 0.28125, "learning_rate": 1.2321844829704957e-05, "loss": 0.6842, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3543 }, { "epoch": 0.4829653856636686, "grad_norm": 0.337890625, "learning_rate": 1.231721676384644e-05, "loss": 0.7833, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3544 }, { "epoch": 0.48310166257835924, "grad_norm": 0.275390625, "learning_rate": 1.2312588173441651e-05, "loss": 0.6902, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3545 }, { "epoch": 0.4832379394930499, "grad_norm": 0.2890625, "learning_rate": 1.2307959059538358e-05, "loss": 0.737, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3546 }, { "epoch": 0.48337421640774053, "grad_norm": 0.310546875, "learning_rate": 1.2303329423184456e-05, "loss": 0.7155, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3547 }, { "epoch": 0.4835104933224312, "grad_norm": 0.314453125, "learning_rate": 1.2298699265427945e-05, "loss": 0.674, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3548 }, { "epoch": 0.4836467702371218, "grad_norm": 0.291015625, "learning_rate": 1.2294068587316952e-05, "loss": 0.6606, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3549 }, { "epoch": 0.4837830471518125, "grad_norm": 0.2734375, "learning_rate": 1.2289437389899724e-05, "loss": 0.6737, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3550 }, { "epoch": 0.4839193240665031, "grad_norm": 0.291015625, "learning_rate": 1.228480567422461e-05, "loss": 0.6642, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3551 }, { "epoch": 0.48405560098119377, "grad_norm": 0.27734375, "learning_rate": 1.2280173441340096e-05, "loss": 0.7332, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3552 }, { "epoch": 0.4841918778958844, "grad_norm": 0.56640625, "learning_rate": 1.2275540692294775e-05, "loss": 0.7581, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3553 }, { "epoch": 0.48432815481057506, "grad_norm": 0.302734375, "learning_rate": 1.2270907428137357e-05, "loss": 0.7261, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3554 }, { "epoch": 0.48446443172526577, "grad_norm": 0.294921875, "learning_rate": 1.2266273649916669e-05, "loss": 0.684, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3555 }, { "epoch": 0.4846007086399564, "grad_norm": 0.26171875, "learning_rate": 1.2261639358681656e-05, "loss": 0.6413, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3556 }, { "epoch": 0.48473698555464706, "grad_norm": 0.2490234375, "learning_rate": 1.2257004555481382e-05, "loss": 0.6488, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3557 }, { "epoch": 0.4848732624693377, "grad_norm": 0.283203125, "learning_rate": 1.2252369241365016e-05, "loss": 0.6898, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3558 }, { "epoch": 0.48500953938402835, "grad_norm": 0.3203125, "learning_rate": 1.2247733417381854e-05, "loss": 0.6974, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3559 }, { "epoch": 0.485145816298719, "grad_norm": 0.24609375, "learning_rate": 1.2243097084581307e-05, "loss": 0.6429, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3560 }, { "epoch": 0.48528209321340965, "grad_norm": 0.271484375, "learning_rate": 1.223846024401289e-05, "loss": 0.6299, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3561 }, { "epoch": 0.4854183701281003, "grad_norm": 0.439453125, "learning_rate": 1.2233822896726244e-05, "loss": 0.6874, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3562 }, { "epoch": 0.48555464704279094, "grad_norm": 0.2490234375, "learning_rate": 1.222918504377112e-05, "loss": 0.6146, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3563 }, { "epoch": 0.4856909239574816, "grad_norm": 0.31640625, "learning_rate": 1.2224546686197386e-05, "loss": 0.7434, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3564 }, { "epoch": 0.48582720087217224, "grad_norm": 0.265625, "learning_rate": 1.2219907825055028e-05, "loss": 0.7494, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3565 }, { "epoch": 0.4859634777868629, "grad_norm": 0.35546875, "learning_rate": 1.2215268461394132e-05, "loss": 0.7011, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3566 }, { "epoch": 0.48609975470155353, "grad_norm": 0.3203125, "learning_rate": 1.2210628596264909e-05, "loss": 0.7214, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3567 }, { "epoch": 0.48623603161624424, "grad_norm": 0.419921875, "learning_rate": 1.2205988230717682e-05, "loss": 0.759, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3568 }, { "epoch": 0.4863723085309349, "grad_norm": 0.291015625, "learning_rate": 1.2201347365802887e-05, "loss": 0.6946, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3569 }, { "epoch": 0.48650858544562553, "grad_norm": 0.3515625, "learning_rate": 1.219670600257107e-05, "loss": 0.6748, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3570 }, { "epoch": 0.4866448623603162, "grad_norm": 0.359375, "learning_rate": 1.2192064142072897e-05, "loss": 0.6907, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3571 }, { "epoch": 0.4867811392750068, "grad_norm": 0.3359375, "learning_rate": 1.2187421785359135e-05, "loss": 0.7669, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3572 }, { "epoch": 0.48691741618969747, "grad_norm": 0.34765625, "learning_rate": 1.2182778933480677e-05, "loss": 0.7834, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3573 }, { "epoch": 0.4870536931043881, "grad_norm": 0.2373046875, "learning_rate": 1.2178135587488515e-05, "loss": 0.6756, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3574 }, { "epoch": 0.48718997001907877, "grad_norm": 0.32421875, "learning_rate": 1.2173491748433765e-05, "loss": 0.6637, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3575 }, { "epoch": 0.4873262469337694, "grad_norm": 0.3515625, "learning_rate": 1.2168847417367646e-05, "loss": 0.776, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3576 }, { "epoch": 0.48746252384846006, "grad_norm": 0.314453125, "learning_rate": 1.216420259534149e-05, "loss": 0.6711, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3577 }, { "epoch": 0.4875988007631507, "grad_norm": 0.54296875, "learning_rate": 1.2159557283406742e-05, "loss": 0.6775, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3578 }, { "epoch": 0.48773507767784136, "grad_norm": 0.255859375, "learning_rate": 1.2154911482614955e-05, "loss": 0.7517, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3579 }, { "epoch": 0.487871354592532, "grad_norm": 0.349609375, "learning_rate": 1.2150265194017801e-05, "loss": 0.7804, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3580 }, { "epoch": 0.48800763150722265, "grad_norm": 0.306640625, "learning_rate": 1.214561841866705e-05, "loss": 0.6716, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3581 }, { "epoch": 0.48814390842191335, "grad_norm": 0.373046875, "learning_rate": 1.214097115761459e-05, "loss": 0.7262, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3582 }, { "epoch": 0.488280185336604, "grad_norm": 0.302734375, "learning_rate": 1.213632341191242e-05, "loss": 0.6794, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3583 }, { "epoch": 0.48841646225129465, "grad_norm": 0.3203125, "learning_rate": 1.2131675182612639e-05, "loss": 0.6913, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3584 }, { "epoch": 0.4885527391659853, "grad_norm": 0.291015625, "learning_rate": 1.2127026470767468e-05, "loss": 0.7028, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3585 }, { "epoch": 0.48868901608067594, "grad_norm": 0.31640625, "learning_rate": 1.2122377277429231e-05, "loss": 0.679, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3586 }, { "epoch": 0.4888252929953666, "grad_norm": 0.3046875, "learning_rate": 1.2117727603650364e-05, "loss": 0.6656, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3587 }, { "epoch": 0.48896156991005724, "grad_norm": 0.310546875, "learning_rate": 1.2113077450483405e-05, "loss": 0.6826, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3588 }, { "epoch": 0.4890978468247479, "grad_norm": 0.388671875, "learning_rate": 1.2108426818981009e-05, "loss": 0.7699, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3589 }, { "epoch": 0.48923412373943853, "grad_norm": 0.416015625, "learning_rate": 1.210377571019593e-05, "loss": 0.8095, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3590 }, { "epoch": 0.4893704006541292, "grad_norm": 0.287109375, "learning_rate": 1.2099124125181042e-05, "loss": 0.7129, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3591 }, { "epoch": 0.4895066775688198, "grad_norm": 0.2890625, "learning_rate": 1.2094472064989315e-05, "loss": 0.7026, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3592 }, { "epoch": 0.4896429544835105, "grad_norm": 0.23828125, "learning_rate": 1.2089819530673834e-05, "loss": 0.6629, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3593 }, { "epoch": 0.4897792313982011, "grad_norm": 0.3046875, "learning_rate": 1.2085166523287788e-05, "loss": 0.7237, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3594 }, { "epoch": 0.4899155083128918, "grad_norm": 0.34375, "learning_rate": 1.2080513043884477e-05, "loss": 0.7346, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3595 }, { "epoch": 0.49005178522758247, "grad_norm": 0.330078125, "learning_rate": 1.20758590935173e-05, "loss": 0.7706, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3596 }, { "epoch": 0.4901880621422731, "grad_norm": 0.337890625, "learning_rate": 1.2071204673239767e-05, "loss": 0.7514, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3597 }, { "epoch": 0.49032433905696376, "grad_norm": 0.298828125, "learning_rate": 1.2066549784105502e-05, "loss": 0.744, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3598 }, { "epoch": 0.4904606159716544, "grad_norm": 0.31640625, "learning_rate": 1.2061894427168221e-05, "loss": 0.6851, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3599 }, { "epoch": 0.49059689288634506, "grad_norm": 0.35546875, "learning_rate": 1.2057238603481758e-05, "loss": 0.7921, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3600 }, { "epoch": 0.4907331698010357, "grad_norm": 0.28515625, "learning_rate": 1.2052582314100044e-05, "loss": 0.726, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3601 }, { "epoch": 0.49086944671572635, "grad_norm": 0.328125, "learning_rate": 1.2047925560077123e-05, "loss": 0.7551, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3602 }, { "epoch": 0.491005723630417, "grad_norm": 0.2890625, "learning_rate": 1.2043268342467136e-05, "loss": 0.7524, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3603 }, { "epoch": 0.49114200054510765, "grad_norm": 0.298828125, "learning_rate": 1.2038610662324334e-05, "loss": 0.7327, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3604 }, { "epoch": 0.4912782774597983, "grad_norm": 0.337890625, "learning_rate": 1.2033952520703075e-05, "loss": 0.7444, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3605 }, { "epoch": 0.49141455437448894, "grad_norm": 0.333984375, "learning_rate": 1.2029293918657814e-05, "loss": 0.7622, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3606 }, { "epoch": 0.4915508312891796, "grad_norm": 0.271484375, "learning_rate": 1.2024634857243118e-05, "loss": 0.6708, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3607 }, { "epoch": 0.49168710820387024, "grad_norm": 0.3125, "learning_rate": 1.2019975337513653e-05, "loss": 0.7506, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3608 }, { "epoch": 0.49182338511856094, "grad_norm": 0.318359375, "learning_rate": 1.201531536052419e-05, "loss": 0.717, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3609 }, { "epoch": 0.4919596620332516, "grad_norm": 0.28125, "learning_rate": 1.2010654927329601e-05, "loss": 0.6626, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3610 }, { "epoch": 0.49209593894794224, "grad_norm": 0.380859375, "learning_rate": 1.2005994038984871e-05, "loss": 0.7242, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3611 }, { "epoch": 0.4922322158626329, "grad_norm": 0.26953125, "learning_rate": 1.2001332696545076e-05, "loss": 0.7232, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3612 }, { "epoch": 0.49236849277732353, "grad_norm": 0.2578125, "learning_rate": 1.1996670901065404e-05, "loss": 0.6826, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3613 }, { "epoch": 0.4925047696920142, "grad_norm": 0.408203125, "learning_rate": 1.1992008653601137e-05, "loss": 0.7826, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3614 }, { "epoch": 0.4926410466067048, "grad_norm": 0.33203125, "learning_rate": 1.1987345955207665e-05, "loss": 0.7018, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3615 }, { "epoch": 0.49277732352139547, "grad_norm": 0.30078125, "learning_rate": 1.198268280694048e-05, "loss": 0.6446, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3616 }, { "epoch": 0.4929136004360861, "grad_norm": 0.33203125, "learning_rate": 1.1978019209855174e-05, "loss": 0.6342, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3617 }, { "epoch": 0.49304987735077677, "grad_norm": 0.30859375, "learning_rate": 1.197335516500744e-05, "loss": 0.7891, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3618 }, { "epoch": 0.4931861542654674, "grad_norm": 0.2470703125, "learning_rate": 1.1968690673453076e-05, "loss": 0.6965, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3619 }, { "epoch": 0.49332243118015806, "grad_norm": 0.3046875, "learning_rate": 1.1964025736247978e-05, "loss": 0.8689, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3620 }, { "epoch": 0.4934587080948487, "grad_norm": 0.36328125, "learning_rate": 1.1959360354448143e-05, "loss": 0.7819, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3621 }, { "epoch": 0.4935949850095394, "grad_norm": 0.302734375, "learning_rate": 1.1954694529109672e-05, "loss": 0.716, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3622 }, { "epoch": 0.49373126192423006, "grad_norm": 0.4453125, "learning_rate": 1.1950028261288757e-05, "loss": 0.6995, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3623 }, { "epoch": 0.4938675388389207, "grad_norm": 0.61328125, "learning_rate": 1.1945361552041701e-05, "loss": 0.8939, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3624 }, { "epoch": 0.49400381575361135, "grad_norm": 0.29296875, "learning_rate": 1.1940694402424904e-05, "loss": 0.72, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3625 }, { "epoch": 0.494140092668302, "grad_norm": 0.26171875, "learning_rate": 1.1936026813494866e-05, "loss": 0.7609, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3626 }, { "epoch": 0.49427636958299265, "grad_norm": 0.314453125, "learning_rate": 1.1931358786308179e-05, "loss": 0.6637, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3627 }, { "epoch": 0.4944126464976833, "grad_norm": 0.375, "learning_rate": 1.1926690321921544e-05, "loss": 0.7647, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3628 }, { "epoch": 0.49454892341237394, "grad_norm": 0.35546875, "learning_rate": 1.1922021421391757e-05, "loss": 0.7287, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3629 }, { "epoch": 0.4946852003270646, "grad_norm": 0.33203125, "learning_rate": 1.191735208577571e-05, "loss": 0.633, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3630 }, { "epoch": 0.49482147724175524, "grad_norm": 0.36328125, "learning_rate": 1.1912682316130402e-05, "loss": 0.7544, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3631 }, { "epoch": 0.4949577541564459, "grad_norm": 0.2470703125, "learning_rate": 1.190801211351292e-05, "loss": 0.7229, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3632 }, { "epoch": 0.49509403107113653, "grad_norm": 0.2890625, "learning_rate": 1.1903341478980454e-05, "loss": 0.7002, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3633 }, { "epoch": 0.4952303079858272, "grad_norm": 0.330078125, "learning_rate": 1.1898670413590292e-05, "loss": 0.7761, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3634 }, { "epoch": 0.4953665849005178, "grad_norm": 0.306640625, "learning_rate": 1.1893998918399818e-05, "loss": 0.7024, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3635 }, { "epoch": 0.49550286181520853, "grad_norm": 0.244140625, "learning_rate": 1.1889326994466515e-05, "loss": 0.7284, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3636 }, { "epoch": 0.4956391387298992, "grad_norm": 0.328125, "learning_rate": 1.1884654642847962e-05, "loss": 0.7218, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3637 }, { "epoch": 0.4957754156445898, "grad_norm": 0.3359375, "learning_rate": 1.1879981864601835e-05, "loss": 0.6803, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3638 }, { "epoch": 0.49591169255928047, "grad_norm": 0.29296875, "learning_rate": 1.187530866078591e-05, "loss": 0.6713, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3639 }, { "epoch": 0.4960479694739711, "grad_norm": 0.3046875, "learning_rate": 1.187063503245805e-05, "loss": 0.7501, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3640 }, { "epoch": 0.49618424638866176, "grad_norm": 0.49609375, "learning_rate": 1.1865960980676224e-05, "loss": 0.7952, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3641 }, { "epoch": 0.4963205233033524, "grad_norm": 0.3046875, "learning_rate": 1.186128650649849e-05, "loss": 0.8038, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3642 }, { "epoch": 0.49645680021804306, "grad_norm": 0.3515625, "learning_rate": 1.1856611610983006e-05, "loss": 0.7274, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3643 }, { "epoch": 0.4965930771327337, "grad_norm": 0.29296875, "learning_rate": 1.1851936295188027e-05, "loss": 0.7415, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3644 }, { "epoch": 0.49672935404742435, "grad_norm": 0.7734375, "learning_rate": 1.1847260560171895e-05, "loss": 0.666, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3645 }, { "epoch": 0.496865630962115, "grad_norm": 0.296875, "learning_rate": 1.1842584406993053e-05, "loss": 0.7926, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3646 }, { "epoch": 0.49700190787680565, "grad_norm": 0.3984375, "learning_rate": 1.1837907836710041e-05, "loss": 0.7663, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3647 }, { "epoch": 0.4971381847914963, "grad_norm": 0.427734375, "learning_rate": 1.1833230850381488e-05, "loss": 0.685, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3648 }, { "epoch": 0.497274461706187, "grad_norm": 0.3125, "learning_rate": 1.1828553449066117e-05, "loss": 0.6975, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3649 }, { "epoch": 0.49741073862087765, "grad_norm": 0.2890625, "learning_rate": 1.1823875633822747e-05, "loss": 0.6902, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3650 }, { "epoch": 0.4975470155355683, "grad_norm": 0.27734375, "learning_rate": 1.1819197405710296e-05, "loss": 0.7525, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3651 }, { "epoch": 0.49768329245025894, "grad_norm": 0.3046875, "learning_rate": 1.1814518765787764e-05, "loss": 0.6633, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3652 }, { "epoch": 0.4978195693649496, "grad_norm": 0.251953125, "learning_rate": 1.1809839715114256e-05, "loss": 0.6478, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3653 }, { "epoch": 0.49795584627964024, "grad_norm": 0.31640625, "learning_rate": 1.180516025474896e-05, "loss": 0.6705, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3654 }, { "epoch": 0.4980921231943309, "grad_norm": 0.279296875, "learning_rate": 1.1800480385751168e-05, "loss": 0.734, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3655 }, { "epoch": 0.49822840010902153, "grad_norm": 1.0625, "learning_rate": 1.179580010918025e-05, "loss": 0.7131, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3656 }, { "epoch": 0.4983646770237122, "grad_norm": 0.2490234375, "learning_rate": 1.1791119426095677e-05, "loss": 0.6764, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3657 }, { "epoch": 0.4985009539384028, "grad_norm": 1.0625, "learning_rate": 1.178643833755701e-05, "loss": 0.7573, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3658 }, { "epoch": 0.49863723085309347, "grad_norm": 0.48828125, "learning_rate": 1.1781756844623915e-05, "loss": 0.6526, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3659 }, { "epoch": 0.4987735077677841, "grad_norm": 0.3125, "learning_rate": 1.1777074948356123e-05, "loss": 0.7646, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3660 }, { "epoch": 0.49890978468247477, "grad_norm": 1.359375, "learning_rate": 1.1772392649813473e-05, "loss": 0.6579, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3661 }, { "epoch": 0.4990460615971654, "grad_norm": 0.3359375, "learning_rate": 1.1767709950055898e-05, "loss": 0.7751, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3662 }, { "epoch": 0.4991823385118561, "grad_norm": 0.41015625, "learning_rate": 1.1763026850143415e-05, "loss": 0.7199, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3663 }, { "epoch": 0.49931861542654676, "grad_norm": 0.41015625, "learning_rate": 1.1758343351136131e-05, "loss": 0.7296, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3664 }, { "epoch": 0.4994548923412374, "grad_norm": 0.376953125, "learning_rate": 1.1753659454094246e-05, "loss": 0.7618, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3665 }, { "epoch": 0.49959116925592806, "grad_norm": 0.33984375, "learning_rate": 1.1748975160078053e-05, "loss": 0.7238, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3666 }, { "epoch": 0.4997274461706187, "grad_norm": 0.3359375, "learning_rate": 1.1744290470147926e-05, "loss": 0.737, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3667 }, { "epoch": 0.49986372308530935, "grad_norm": 0.3671875, "learning_rate": 1.1739605385364337e-05, "loss": 0.7718, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3668 }, { "epoch": 0.49986372308530935, "eval_loss": 0.7126984596252441, "eval_runtime": 1254.3695, "eval_samples_per_second": 4.096, "eval_steps_per_second": 0.171, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3668 }, { "epoch": 0.5, "grad_norm": 0.251953125, "learning_rate": 1.1734919906787842e-05, "loss": 0.7156, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3669 }, { "epoch": 0.5001362769146906, "grad_norm": 0.318359375, "learning_rate": 1.1730234035479096e-05, "loss": 0.7523, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3670 }, { "epoch": 0.5002725538293813, "grad_norm": 0.322265625, "learning_rate": 1.1725547772498824e-05, "loss": 0.7214, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3671 }, { "epoch": 0.5004088307440719, "grad_norm": 0.3515625, "learning_rate": 1.172086111890786e-05, "loss": 0.8616, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3672 }, { "epoch": 0.5005451076587626, "grad_norm": 0.36328125, "learning_rate": 1.1716174075767114e-05, "loss": 0.7374, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3673 }, { "epoch": 0.5006813845734532, "grad_norm": 0.275390625, "learning_rate": 1.171148664413759e-05, "loss": 0.6446, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3674 }, { "epoch": 0.5008176614881439, "grad_norm": 0.291015625, "learning_rate": 1.1706798825080371e-05, "loss": 0.7467, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3675 }, { "epoch": 0.5009539384028345, "grad_norm": 0.251953125, "learning_rate": 1.1702110619656644e-05, "loss": 0.7158, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3676 }, { "epoch": 0.5010902153175252, "grad_norm": 0.28125, "learning_rate": 1.1697422028927667e-05, "loss": 0.658, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3677 }, { "epoch": 0.5012264922322158, "grad_norm": 0.35546875, "learning_rate": 1.1692733053954799e-05, "loss": 0.7644, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3678 }, { "epoch": 0.5013627691469065, "grad_norm": 0.220703125, "learning_rate": 1.168804369579947e-05, "loss": 0.6687, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3679 }, { "epoch": 0.5014990460615971, "grad_norm": 0.255859375, "learning_rate": 1.1683353955523211e-05, "loss": 0.5956, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3680 }, { "epoch": 0.5016353229762878, "grad_norm": 0.287109375, "learning_rate": 1.1678663834187634e-05, "loss": 0.6853, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3681 }, { "epoch": 0.5017715998909784, "grad_norm": 0.28125, "learning_rate": 1.1673973332854437e-05, "loss": 0.7519, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3682 }, { "epoch": 0.5019078768056692, "grad_norm": 0.259765625, "learning_rate": 1.1669282452585404e-05, "loss": 0.7188, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3683 }, { "epoch": 0.5020441537203598, "grad_norm": 0.28125, "learning_rate": 1.1664591194442405e-05, "loss": 0.658, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3684 }, { "epoch": 0.5021804306350505, "grad_norm": 0.365234375, "learning_rate": 1.16598995594874e-05, "loss": 0.7287, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3685 }, { "epoch": 0.5023167075497411, "grad_norm": 0.263671875, "learning_rate": 1.1655207548782425e-05, "loss": 0.7194, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3686 }, { "epoch": 0.5024529844644318, "grad_norm": 0.275390625, "learning_rate": 1.1650515163389607e-05, "loss": 0.7157, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3687 }, { "epoch": 0.5025892613791224, "grad_norm": 0.28125, "learning_rate": 1.1645822404371159e-05, "loss": 0.7583, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3688 }, { "epoch": 0.5027255382938131, "grad_norm": 0.322265625, "learning_rate": 1.1641129272789375e-05, "loss": 0.6943, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3689 }, { "epoch": 0.5028618152085037, "grad_norm": 0.244140625, "learning_rate": 1.1636435769706637e-05, "loss": 0.7362, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3690 }, { "epoch": 0.5029980921231944, "grad_norm": 0.89453125, "learning_rate": 1.1631741896185407e-05, "loss": 0.6887, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3691 }, { "epoch": 0.503134369037885, "grad_norm": 0.314453125, "learning_rate": 1.1627047653288234e-05, "loss": 0.6635, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3692 }, { "epoch": 0.5032706459525756, "grad_norm": 0.359375, "learning_rate": 1.1622353042077755e-05, "loss": 0.7667, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3693 }, { "epoch": 0.5034069228672663, "grad_norm": 0.298828125, "learning_rate": 1.1617658063616673e-05, "loss": 0.666, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3694 }, { "epoch": 0.5035431997819569, "grad_norm": 0.26171875, "learning_rate": 1.1612962718967793e-05, "loss": 0.7327, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3695 }, { "epoch": 0.5036794766966476, "grad_norm": 0.279296875, "learning_rate": 1.1608267009193994e-05, "loss": 0.7196, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3696 }, { "epoch": 0.5038157536113382, "grad_norm": 0.337890625, "learning_rate": 1.1603570935358246e-05, "loss": 0.7479, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3697 }, { "epoch": 0.5039520305260289, "grad_norm": 0.2890625, "learning_rate": 1.1598874498523585e-05, "loss": 0.6638, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3698 }, { "epoch": 0.5040883074407195, "grad_norm": 0.345703125, "learning_rate": 1.1594177699753146e-05, "loss": 0.7849, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3699 }, { "epoch": 0.5042245843554102, "grad_norm": 0.26953125, "learning_rate": 1.1589480540110137e-05, "loss": 0.6295, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3700 }, { "epoch": 0.5043608612701008, "grad_norm": 0.3046875, "learning_rate": 1.1584783020657848e-05, "loss": 0.7034, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3701 }, { "epoch": 0.5044971381847915, "grad_norm": 0.27734375, "learning_rate": 1.1580085142459656e-05, "loss": 0.7105, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3702 }, { "epoch": 0.5046334150994821, "grad_norm": 0.267578125, "learning_rate": 1.1575386906579014e-05, "loss": 0.697, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3703 }, { "epoch": 0.5047696920141728, "grad_norm": 0.326171875, "learning_rate": 1.1570688314079457e-05, "loss": 0.702, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3704 }, { "epoch": 0.5049059689288634, "grad_norm": 0.25390625, "learning_rate": 1.1565989366024601e-05, "loss": 0.6929, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3705 }, { "epoch": 0.5050422458435541, "grad_norm": 0.283203125, "learning_rate": 1.1561290063478143e-05, "loss": 0.7246, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3706 }, { "epoch": 0.5051785227582447, "grad_norm": 0.3203125, "learning_rate": 1.1556590407503858e-05, "loss": 0.7142, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3707 }, { "epoch": 0.5053147996729354, "grad_norm": 0.318359375, "learning_rate": 1.155189039916561e-05, "loss": 0.742, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3708 }, { "epoch": 0.505451076587626, "grad_norm": 0.6015625, "learning_rate": 1.1547190039527326e-05, "loss": 0.8343, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3709 }, { "epoch": 0.5055873535023168, "grad_norm": 0.310546875, "learning_rate": 1.1542489329653024e-05, "loss": 0.6578, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3710 }, { "epoch": 0.5057236304170074, "grad_norm": 0.28515625, "learning_rate": 1.1537788270606805e-05, "loss": 0.7515, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3711 }, { "epoch": 0.505859907331698, "grad_norm": 0.291015625, "learning_rate": 1.1533086863452843e-05, "loss": 0.6918, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3712 }, { "epoch": 0.5059961842463887, "grad_norm": 0.341796875, "learning_rate": 1.1528385109255385e-05, "loss": 0.7034, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3713 }, { "epoch": 0.5061324611610794, "grad_norm": 0.32421875, "learning_rate": 1.1523683009078765e-05, "loss": 0.7139, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3714 }, { "epoch": 0.50626873807577, "grad_norm": 0.2578125, "learning_rate": 1.1518980563987399e-05, "loss": 0.6681, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3715 }, { "epoch": 0.5064050149904606, "grad_norm": 0.28515625, "learning_rate": 1.1514277775045768e-05, "loss": 0.6973, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3716 }, { "epoch": 0.5065412919051513, "grad_norm": 0.451171875, "learning_rate": 1.1509574643318442e-05, "loss": 0.8429, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3717 }, { "epoch": 0.5066775688198419, "grad_norm": 0.3203125, "learning_rate": 1.1504871169870065e-05, "loss": 0.8226, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3718 }, { "epoch": 0.5068138457345326, "grad_norm": 0.251953125, "learning_rate": 1.1500167355765358e-05, "loss": 0.7018, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3719 }, { "epoch": 0.5069501226492232, "grad_norm": 0.267578125, "learning_rate": 1.1495463202069114e-05, "loss": 0.6991, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3720 }, { "epoch": 0.5070863995639139, "grad_norm": 0.30078125, "learning_rate": 1.1490758709846212e-05, "loss": 0.6717, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3721 }, { "epoch": 0.5072226764786045, "grad_norm": 0.2734375, "learning_rate": 1.1486053880161607e-05, "loss": 0.6956, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3722 }, { "epoch": 0.5073589533932952, "grad_norm": 0.326171875, "learning_rate": 1.1481348714080324e-05, "loss": 0.7599, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3723 }, { "epoch": 0.5074952303079858, "grad_norm": 0.25, "learning_rate": 1.1476643212667466e-05, "loss": 0.6782, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3724 }, { "epoch": 0.5076315072226765, "grad_norm": 0.6328125, "learning_rate": 1.1471937376988214e-05, "loss": 0.7157, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3725 }, { "epoch": 0.5077677841373671, "grad_norm": 0.37890625, "learning_rate": 1.1467231208107824e-05, "loss": 0.7749, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3726 }, { "epoch": 0.5079040610520578, "grad_norm": 0.40625, "learning_rate": 1.1462524707091625e-05, "loss": 0.7045, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3727 }, { "epoch": 0.5080403379667484, "grad_norm": 0.447265625, "learning_rate": 1.1457817875005027e-05, "loss": 0.6946, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3728 }, { "epoch": 0.5081766148814391, "grad_norm": 0.326171875, "learning_rate": 1.145311071291351e-05, "loss": 0.7332, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3729 }, { "epoch": 0.5083128917961297, "grad_norm": 0.5234375, "learning_rate": 1.1448403221882629e-05, "loss": 0.7487, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3730 }, { "epoch": 0.5084491687108204, "grad_norm": 0.310546875, "learning_rate": 1.1443695402978017e-05, "loss": 0.7338, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3731 }, { "epoch": 0.508585445625511, "grad_norm": 0.33203125, "learning_rate": 1.1438987257265378e-05, "loss": 0.674, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3732 }, { "epoch": 0.5087217225402016, "grad_norm": 0.2421875, "learning_rate": 1.1434278785810486e-05, "loss": 0.6598, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3733 }, { "epoch": 0.5088579994548923, "grad_norm": 0.369140625, "learning_rate": 1.1429569989679201e-05, "loss": 0.7249, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3734 }, { "epoch": 0.5089942763695829, "grad_norm": 0.40234375, "learning_rate": 1.1424860869937443e-05, "loss": 0.7419, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3735 }, { "epoch": 0.5091305532842736, "grad_norm": 0.271484375, "learning_rate": 1.1420151427651213e-05, "loss": 0.6361, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3736 }, { "epoch": 0.5092668301989643, "grad_norm": 0.318359375, "learning_rate": 1.1415441663886587e-05, "loss": 0.7135, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3737 }, { "epoch": 0.509403107113655, "grad_norm": 0.46875, "learning_rate": 1.1410731579709704e-05, "loss": 0.7467, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3738 }, { "epoch": 0.5095393840283456, "grad_norm": 0.28125, "learning_rate": 1.1406021176186783e-05, "loss": 0.6972, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3739 }, { "epoch": 0.5096756609430363, "grad_norm": 0.447265625, "learning_rate": 1.1401310454384115e-05, "loss": 0.6936, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3740 }, { "epoch": 0.5098119378577269, "grad_norm": 0.41796875, "learning_rate": 1.1396599415368062e-05, "loss": 0.7121, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3741 }, { "epoch": 0.5099482147724176, "grad_norm": 0.294921875, "learning_rate": 1.1391888060205061e-05, "loss": 0.8015, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3742 }, { "epoch": 0.5100844916871082, "grad_norm": 0.2373046875, "learning_rate": 1.138717638996161e-05, "loss": 0.7296, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3743 }, { "epoch": 0.5102207686017989, "grad_norm": 0.2578125, "learning_rate": 1.138246440570429e-05, "loss": 0.6966, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3744 }, { "epoch": 0.5103570455164895, "grad_norm": 0.353515625, "learning_rate": 1.1377752108499747e-05, "loss": 0.8192, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3745 }, { "epoch": 0.5104933224311802, "grad_norm": 0.32421875, "learning_rate": 1.1373039499414703e-05, "loss": 0.7404, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3746 }, { "epoch": 0.5106295993458708, "grad_norm": 0.33203125, "learning_rate": 1.1368326579515943e-05, "loss": 0.6874, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3747 }, { "epoch": 0.5107658762605615, "grad_norm": 0.3515625, "learning_rate": 1.1363613349870326e-05, "loss": 0.7331, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3748 }, { "epoch": 0.5109021531752521, "grad_norm": 0.32421875, "learning_rate": 1.1358899811544785e-05, "loss": 0.7154, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3749 }, { "epoch": 0.5110384300899428, "grad_norm": 0.369140625, "learning_rate": 1.1354185965606317e-05, "loss": 0.726, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3750 }, { "epoch": 0.5111747070046334, "grad_norm": 0.283203125, "learning_rate": 1.1349471813121993e-05, "loss": 0.7146, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3751 }, { "epoch": 0.5113109839193241, "grad_norm": 0.296875, "learning_rate": 1.1344757355158949e-05, "loss": 0.683, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3752 }, { "epoch": 0.5114472608340147, "grad_norm": 0.283203125, "learning_rate": 1.1340042592784393e-05, "loss": 0.7706, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3753 }, { "epoch": 0.5115835377487054, "grad_norm": 0.255859375, "learning_rate": 1.1335327527065605e-05, "loss": 0.6433, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3754 }, { "epoch": 0.511719814663396, "grad_norm": 0.271484375, "learning_rate": 1.1330612159069925e-05, "loss": 0.7083, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3755 }, { "epoch": 0.5118560915780866, "grad_norm": 0.3671875, "learning_rate": 1.132589648986477e-05, "loss": 0.6986, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3756 }, { "epoch": 0.5119923684927773, "grad_norm": 0.302734375, "learning_rate": 1.1321180520517622e-05, "loss": 0.7101, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3757 }, { "epoch": 0.5121286454074679, "grad_norm": 0.263671875, "learning_rate": 1.1316464252096028e-05, "loss": 0.6621, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3758 }, { "epoch": 0.5122649223221586, "grad_norm": 0.38671875, "learning_rate": 1.1311747685667608e-05, "loss": 0.7884, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3759 }, { "epoch": 0.5124011992368492, "grad_norm": 0.384765625, "learning_rate": 1.1307030822300047e-05, "loss": 0.7853, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3760 }, { "epoch": 0.5125374761515399, "grad_norm": 0.314453125, "learning_rate": 1.1302313663061097e-05, "loss": 0.7251, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3761 }, { "epoch": 0.5126737530662305, "grad_norm": 0.326171875, "learning_rate": 1.1297596209018576e-05, "loss": 0.7785, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3762 }, { "epoch": 0.5128100299809212, "grad_norm": 0.30859375, "learning_rate": 1.1292878461240366e-05, "loss": 0.7424, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3763 }, { "epoch": 0.5129463068956119, "grad_norm": 0.294921875, "learning_rate": 1.1288160420794425e-05, "loss": 0.7116, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3764 }, { "epoch": 0.5130825838103026, "grad_norm": 0.2373046875, "learning_rate": 1.128344208874877e-05, "loss": 0.6764, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3765 }, { "epoch": 0.5132188607249932, "grad_norm": 0.337890625, "learning_rate": 1.1278723466171488e-05, "loss": 0.6526, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3766 }, { "epoch": 0.5133551376396839, "grad_norm": 0.2578125, "learning_rate": 1.1274004554130724e-05, "loss": 0.7159, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3767 }, { "epoch": 0.5134914145543745, "grad_norm": 0.287109375, "learning_rate": 1.1269285353694699e-05, "loss": 0.7452, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3768 }, { "epoch": 0.5136276914690652, "grad_norm": 0.21484375, "learning_rate": 1.1264565865931692e-05, "loss": 0.6102, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3769 }, { "epoch": 0.5137639683837558, "grad_norm": 0.3125, "learning_rate": 1.1259846091910047e-05, "loss": 0.719, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3770 }, { "epoch": 0.5139002452984465, "grad_norm": 0.37109375, "learning_rate": 1.1255126032698177e-05, "loss": 0.6888, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3771 }, { "epoch": 0.5140365222131371, "grad_norm": 0.27734375, "learning_rate": 1.1250405689364561e-05, "loss": 0.6879, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3772 }, { "epoch": 0.5141727991278278, "grad_norm": 0.275390625, "learning_rate": 1.1245685062977732e-05, "loss": 0.6565, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3773 }, { "epoch": 0.5143090760425184, "grad_norm": 0.353515625, "learning_rate": 1.1240964154606298e-05, "loss": 0.8038, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3774 }, { "epoch": 0.5144453529572091, "grad_norm": 0.29296875, "learning_rate": 1.1236242965318924e-05, "loss": 0.656, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3775 }, { "epoch": 0.5145816298718997, "grad_norm": 0.84765625, "learning_rate": 1.1231521496184348e-05, "loss": 0.6862, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3776 }, { "epoch": 0.5147179067865904, "grad_norm": 0.6484375, "learning_rate": 1.1226799748271358e-05, "loss": 0.6878, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3777 }, { "epoch": 0.514854183701281, "grad_norm": 0.3125, "learning_rate": 1.1222077722648814e-05, "loss": 0.7519, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3778 }, { "epoch": 0.5149904606159716, "grad_norm": 0.359375, "learning_rate": 1.1217355420385639e-05, "loss": 0.7291, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3779 }, { "epoch": 0.5151267375306623, "grad_norm": 0.3203125, "learning_rate": 1.121263284255081e-05, "loss": 0.7091, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3780 }, { "epoch": 0.5152630144453529, "grad_norm": 0.279296875, "learning_rate": 1.1207909990213379e-05, "loss": 0.7165, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3781 }, { "epoch": 0.5153992913600436, "grad_norm": 0.578125, "learning_rate": 1.120318686444245e-05, "loss": 0.8108, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3782 }, { "epoch": 0.5155355682747342, "grad_norm": 0.337890625, "learning_rate": 1.11984634663072e-05, "loss": 0.7012, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3783 }, { "epoch": 0.5156718451894249, "grad_norm": 0.330078125, "learning_rate": 1.1193739796876848e-05, "loss": 0.7044, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3784 }, { "epoch": 0.5158081221041155, "grad_norm": 0.34765625, "learning_rate": 1.1189015857220695e-05, "loss": 0.8223, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3785 }, { "epoch": 0.5159443990188062, "grad_norm": 0.318359375, "learning_rate": 1.1184291648408095e-05, "loss": 0.6962, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3786 }, { "epoch": 0.5160806759334968, "grad_norm": 0.302734375, "learning_rate": 1.1179567171508463e-05, "loss": 0.6716, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3787 }, { "epoch": 0.5162169528481875, "grad_norm": 0.263671875, "learning_rate": 1.117484242759127e-05, "loss": 0.7009, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3788 }, { "epoch": 0.5163532297628781, "grad_norm": 0.326171875, "learning_rate": 1.1170117417726056e-05, "loss": 0.7332, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3789 }, { "epoch": 0.5164895066775688, "grad_norm": 0.34375, "learning_rate": 1.1165392142982414e-05, "loss": 0.8223, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3790 }, { "epoch": 0.5166257835922595, "grad_norm": 0.294921875, "learning_rate": 1.1160666604430006e-05, "loss": 0.6279, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3791 }, { "epoch": 0.5167620605069502, "grad_norm": 0.310546875, "learning_rate": 1.115594080313854e-05, "loss": 0.7612, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3792 }, { "epoch": 0.5168983374216408, "grad_norm": 0.25, "learning_rate": 1.1151214740177799e-05, "loss": 0.6861, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3793 }, { "epoch": 0.5170346143363315, "grad_norm": 0.298828125, "learning_rate": 1.1146488416617613e-05, "loss": 0.7072, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3794 }, { "epoch": 0.5171708912510221, "grad_norm": 0.34375, "learning_rate": 1.114176183352788e-05, "loss": 0.7216, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3795 }, { "epoch": 0.5173071681657128, "grad_norm": 0.263671875, "learning_rate": 1.1137034991978546e-05, "loss": 0.6634, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3796 }, { "epoch": 0.5174434450804034, "grad_norm": 0.267578125, "learning_rate": 1.1132307893039624e-05, "loss": 0.6568, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3797 }, { "epoch": 0.517579721995094, "grad_norm": 0.376953125, "learning_rate": 1.1127580537781188e-05, "loss": 0.6905, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3798 }, { "epoch": 0.5177159989097847, "grad_norm": 0.302734375, "learning_rate": 1.112285292727336e-05, "loss": 0.7614, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3799 }, { "epoch": 0.5178522758244753, "grad_norm": 0.296875, "learning_rate": 1.1118125062586324e-05, "loss": 0.7087, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3800 }, { "epoch": 0.517988552739166, "grad_norm": 0.404296875, "learning_rate": 1.1113396944790326e-05, "loss": 0.8014, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3801 }, { "epoch": 0.5181248296538566, "grad_norm": 0.318359375, "learning_rate": 1.1108668574955668e-05, "loss": 0.6771, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3802 }, { "epoch": 0.5182611065685473, "grad_norm": 0.291015625, "learning_rate": 1.11039399541527e-05, "loss": 0.6255, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3803 }, { "epoch": 0.5183973834832379, "grad_norm": 0.2060546875, "learning_rate": 1.109921108345184e-05, "loss": 0.6697, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3804 }, { "epoch": 0.5185336603979286, "grad_norm": 0.400390625, "learning_rate": 1.1094481963923553e-05, "loss": 0.7616, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3805 }, { "epoch": 0.5186699373126192, "grad_norm": 0.361328125, "learning_rate": 1.1089752596638375e-05, "loss": 0.665, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3806 }, { "epoch": 0.5188062142273099, "grad_norm": 0.3515625, "learning_rate": 1.1085022982666881e-05, "loss": 0.763, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3807 }, { "epoch": 0.5189424911420005, "grad_norm": 0.4765625, "learning_rate": 1.1080293123079714e-05, "loss": 0.8443, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3808 }, { "epoch": 0.5190787680566912, "grad_norm": 0.27734375, "learning_rate": 1.1075563018947565e-05, "loss": 0.733, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3809 }, { "epoch": 0.5192150449713818, "grad_norm": 0.22265625, "learning_rate": 1.1070832671341184e-05, "loss": 0.6243, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3810 }, { "epoch": 0.5193513218860725, "grad_norm": 0.287109375, "learning_rate": 1.1066102081331373e-05, "loss": 0.6553, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3811 }, { "epoch": 0.5194875988007631, "grad_norm": 0.375, "learning_rate": 1.1061371249988997e-05, "loss": 0.7347, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3812 }, { "epoch": 0.5196238757154538, "grad_norm": 0.294921875, "learning_rate": 1.1056640178384967e-05, "loss": 0.7636, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3813 }, { "epoch": 0.5197601526301444, "grad_norm": 0.3671875, "learning_rate": 1.1051908867590252e-05, "loss": 0.712, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3814 }, { "epoch": 0.5198964295448351, "grad_norm": 0.30859375, "learning_rate": 1.1047177318675874e-05, "loss": 0.6713, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3815 }, { "epoch": 0.5200327064595257, "grad_norm": 0.2578125, "learning_rate": 1.104244553271291e-05, "loss": 0.7459, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3816 }, { "epoch": 0.5201689833742164, "grad_norm": 0.25390625, "learning_rate": 1.1037713510772487e-05, "loss": 0.7612, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3817 }, { "epoch": 0.5203052602889071, "grad_norm": 0.30078125, "learning_rate": 1.1032981253925794e-05, "loss": 0.6692, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3818 }, { "epoch": 0.5204415372035978, "grad_norm": 0.310546875, "learning_rate": 1.1028248763244065e-05, "loss": 0.6415, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3819 }, { "epoch": 0.5205778141182884, "grad_norm": 0.34375, "learning_rate": 1.1023516039798588e-05, "loss": 0.6924, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3820 }, { "epoch": 0.520714091032979, "grad_norm": 0.34765625, "learning_rate": 1.1018783084660711e-05, "loss": 0.6334, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3821 }, { "epoch": 0.5208503679476697, "grad_norm": 0.33984375, "learning_rate": 1.1014049898901822e-05, "loss": 0.8695, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3822 }, { "epoch": 0.5209866448623603, "grad_norm": 0.345703125, "learning_rate": 1.1009316483593368e-05, "loss": 0.6946, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3823 }, { "epoch": 0.521122921777051, "grad_norm": 0.26171875, "learning_rate": 1.1004582839806854e-05, "loss": 0.7082, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3824 }, { "epoch": 0.5212591986917416, "grad_norm": 0.388671875, "learning_rate": 1.0999848968613831e-05, "loss": 0.7166, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3825 }, { "epoch": 0.5213954756064323, "grad_norm": 0.6484375, "learning_rate": 1.0995114871085892e-05, "loss": 0.6869, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3826 }, { "epoch": 0.5215317525211229, "grad_norm": 0.26953125, "learning_rate": 1.0990380548294697e-05, "loss": 0.6772, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3827 }, { "epoch": 0.5216680294358136, "grad_norm": 0.40234375, "learning_rate": 1.0985646001311952e-05, "loss": 0.6989, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3828 }, { "epoch": 0.5218043063505042, "grad_norm": 0.359375, "learning_rate": 1.0980911231209405e-05, "loss": 0.7836, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3829 }, { "epoch": 0.5219405832651949, "grad_norm": 0.396484375, "learning_rate": 1.097617623905887e-05, "loss": 0.7092, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3830 }, { "epoch": 0.5220768601798855, "grad_norm": 0.255859375, "learning_rate": 1.0971441025932197e-05, "loss": 0.6605, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3831 }, { "epoch": 0.5222131370945762, "grad_norm": 0.384765625, "learning_rate": 1.09667055929013e-05, "loss": 0.723, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3832 }, { "epoch": 0.5223494140092668, "grad_norm": 0.2373046875, "learning_rate": 1.0961969941038122e-05, "loss": 0.7198, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3833 }, { "epoch": 0.5224856909239575, "grad_norm": 0.29296875, "learning_rate": 1.0957234071414675e-05, "loss": 0.7297, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3834 }, { "epoch": 0.5226219678386481, "grad_norm": 0.27734375, "learning_rate": 1.0952497985103017e-05, "loss": 0.6693, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3835 }, { "epoch": 0.5227582447533388, "grad_norm": 0.337890625, "learning_rate": 1.0947761683175246e-05, "loss": 0.7119, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3836 }, { "epoch": 0.5228945216680294, "grad_norm": 0.31640625, "learning_rate": 1.0943025166703518e-05, "loss": 0.7557, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3837 }, { "epoch": 0.5230307985827201, "grad_norm": 0.2890625, "learning_rate": 1.0938288436760032e-05, "loss": 0.7039, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3838 }, { "epoch": 0.5231670754974107, "grad_norm": 0.291015625, "learning_rate": 1.0933551494417037e-05, "loss": 0.7276, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3839 }, { "epoch": 0.5233033524121014, "grad_norm": 0.314453125, "learning_rate": 1.0928814340746831e-05, "loss": 0.669, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3840 }, { "epoch": 0.523439629326792, "grad_norm": 0.34765625, "learning_rate": 1.092407697682176e-05, "loss": 0.6817, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3841 }, { "epoch": 0.5235759062414826, "grad_norm": 0.318359375, "learning_rate": 1.0919339403714218e-05, "loss": 0.6821, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3842 }, { "epoch": 0.5237121831561733, "grad_norm": 0.29296875, "learning_rate": 1.0914601622496639e-05, "loss": 0.6672, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3843 }, { "epoch": 0.5238484600708639, "grad_norm": 0.408203125, "learning_rate": 1.0909863634241517e-05, "loss": 0.7018, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3844 }, { "epoch": 0.5239847369855547, "grad_norm": 0.314453125, "learning_rate": 1.0905125440021382e-05, "loss": 0.7352, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3845 }, { "epoch": 0.5241210139002453, "grad_norm": 0.279296875, "learning_rate": 1.090038704090882e-05, "loss": 0.673, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3846 }, { "epoch": 0.524257290814936, "grad_norm": 0.287109375, "learning_rate": 1.0895648437976453e-05, "loss": 0.7161, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3847 }, { "epoch": 0.5243935677296266, "grad_norm": 0.30078125, "learning_rate": 1.0890909632296955e-05, "loss": 0.7012, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3848 }, { "epoch": 0.5245298446443173, "grad_norm": 0.26953125, "learning_rate": 1.0886170624943047e-05, "loss": 0.7001, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3849 }, { "epoch": 0.5246661215590079, "grad_norm": 0.275390625, "learning_rate": 1.0881431416987493e-05, "loss": 0.7187, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3850 }, { "epoch": 0.5248023984736986, "grad_norm": 0.3046875, "learning_rate": 1.0876692009503105e-05, "loss": 0.6973, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3851 }, { "epoch": 0.5249386753883892, "grad_norm": 0.298828125, "learning_rate": 1.0871952403562733e-05, "loss": 0.7578, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3852 }, { "epoch": 0.5250749523030799, "grad_norm": 0.287109375, "learning_rate": 1.086721260023928e-05, "loss": 0.6502, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3853 }, { "epoch": 0.5252112292177705, "grad_norm": 0.28125, "learning_rate": 1.0862472600605696e-05, "loss": 0.7477, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3854 }, { "epoch": 0.5253475061324612, "grad_norm": 0.30859375, "learning_rate": 1.0857732405734962e-05, "loss": 0.7338, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3855 }, { "epoch": 0.5254837830471518, "grad_norm": 0.328125, "learning_rate": 1.085299201670012e-05, "loss": 0.739, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3856 }, { "epoch": 0.5256200599618425, "grad_norm": 0.287109375, "learning_rate": 1.084825143457424e-05, "loss": 0.661, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3857 }, { "epoch": 0.5257563368765331, "grad_norm": 0.3125, "learning_rate": 1.0843510660430447e-05, "loss": 0.6875, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3858 }, { "epoch": 0.5258926137912238, "grad_norm": 0.328125, "learning_rate": 1.083876969534191e-05, "loss": 0.7084, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3859 }, { "epoch": 0.5260288907059144, "grad_norm": 0.32421875, "learning_rate": 1.083402854038183e-05, "loss": 0.6741, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3860 }, { "epoch": 0.5261651676206051, "grad_norm": 0.298828125, "learning_rate": 1.0829287196623462e-05, "loss": 0.7046, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3861 }, { "epoch": 0.5263014445352957, "grad_norm": 0.431640625, "learning_rate": 1.0824545665140094e-05, "loss": 0.654, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3862 }, { "epoch": 0.5264377214499864, "grad_norm": 0.330078125, "learning_rate": 1.0819803947005072e-05, "loss": 0.7777, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3863 }, { "epoch": 0.526573998364677, "grad_norm": 0.58984375, "learning_rate": 1.0815062043291766e-05, "loss": 0.7263, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3864 }, { "epoch": 0.5267102752793676, "grad_norm": 0.267578125, "learning_rate": 1.08103199550736e-05, "loss": 0.6914, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3865 }, { "epoch": 0.5268465521940583, "grad_norm": 0.31640625, "learning_rate": 1.0805577683424038e-05, "loss": 0.7064, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3866 }, { "epoch": 0.5269828291087489, "grad_norm": 0.236328125, "learning_rate": 1.0800835229416577e-05, "loss": 0.7183, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3867 }, { "epoch": 0.5271191060234396, "grad_norm": 0.314453125, "learning_rate": 1.079609259412477e-05, "loss": 0.7821, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3868 }, { "epoch": 0.5272553829381302, "grad_norm": 0.333984375, "learning_rate": 1.0791349778622196e-05, "loss": 0.7472, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3869 }, { "epoch": 0.5273916598528209, "grad_norm": 0.333984375, "learning_rate": 1.0786606783982487e-05, "loss": 0.733, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3870 }, { "epoch": 0.5275279367675115, "grad_norm": 0.28125, "learning_rate": 1.0781863611279309e-05, "loss": 0.6558, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3871 }, { "epoch": 0.5276642136822023, "grad_norm": 0.302734375, "learning_rate": 1.0777120261586372e-05, "loss": 0.7065, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3872 }, { "epoch": 0.5278004905968929, "grad_norm": 0.265625, "learning_rate": 1.0772376735977417e-05, "loss": 0.6447, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3873 }, { "epoch": 0.5279367675115836, "grad_norm": 0.29296875, "learning_rate": 1.0767633035526241e-05, "loss": 0.7247, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3874 }, { "epoch": 0.5280730444262742, "grad_norm": 0.390625, "learning_rate": 1.0762889161306662e-05, "loss": 0.7515, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3875 }, { "epoch": 0.5282093213409649, "grad_norm": 0.248046875, "learning_rate": 1.0758145114392553e-05, "loss": 0.6502, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3876 }, { "epoch": 0.5283455982556555, "grad_norm": 0.333984375, "learning_rate": 1.0753400895857818e-05, "loss": 0.8, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3877 }, { "epoch": 0.5284818751703462, "grad_norm": 0.27734375, "learning_rate": 1.0748656506776401e-05, "loss": 0.7751, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3878 }, { "epoch": 0.5286181520850368, "grad_norm": 0.30859375, "learning_rate": 1.0743911948222284e-05, "loss": 0.6484, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3879 }, { "epoch": 0.5287544289997275, "grad_norm": 0.2890625, "learning_rate": 1.0739167221269487e-05, "loss": 0.7038, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3880 }, { "epoch": 0.5288907059144181, "grad_norm": 0.283203125, "learning_rate": 1.0734422326992074e-05, "loss": 0.7192, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3881 }, { "epoch": 0.5290269828291088, "grad_norm": 0.412109375, "learning_rate": 1.072967726646414e-05, "loss": 0.6627, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3882 }, { "epoch": 0.5291632597437994, "grad_norm": 0.2236328125, "learning_rate": 1.072493204075982e-05, "loss": 0.7076, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3883 }, { "epoch": 0.52929953665849, "grad_norm": 0.275390625, "learning_rate": 1.0720186650953288e-05, "loss": 0.7146, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3884 }, { "epoch": 0.5294358135731807, "grad_norm": 0.3125, "learning_rate": 1.0715441098118755e-05, "loss": 0.6426, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3885 }, { "epoch": 0.5295720904878713, "grad_norm": 0.306640625, "learning_rate": 1.0710695383330461e-05, "loss": 0.7276, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3886 }, { "epoch": 0.529708367402562, "grad_norm": 0.28515625, "learning_rate": 1.0705949507662694e-05, "loss": 0.6723, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3887 }, { "epoch": 0.5298446443172526, "grad_norm": 0.298828125, "learning_rate": 1.0701203472189774e-05, "loss": 0.6455, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3888 }, { "epoch": 0.5299809212319433, "grad_norm": 0.30859375, "learning_rate": 1.0696457277986056e-05, "loss": 0.755, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3889 }, { "epoch": 0.5301171981466339, "grad_norm": 0.421875, "learning_rate": 1.0691710926125931e-05, "loss": 0.6678, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3890 }, { "epoch": 0.5302534750613246, "grad_norm": 0.318359375, "learning_rate": 1.0686964417683828e-05, "loss": 0.7502, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3891 }, { "epoch": 0.5303897519760152, "grad_norm": 0.34375, "learning_rate": 1.0682217753734205e-05, "loss": 0.5813, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3892 }, { "epoch": 0.5305260288907059, "grad_norm": 0.283203125, "learning_rate": 1.0677470935351569e-05, "loss": 0.6983, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3893 }, { "epoch": 0.5306623058053965, "grad_norm": 0.25390625, "learning_rate": 1.067272396361044e-05, "loss": 0.718, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3894 }, { "epoch": 0.5307985827200872, "grad_norm": 0.275390625, "learning_rate": 1.0667976839585396e-05, "loss": 0.6999, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3895 }, { "epoch": 0.5309348596347778, "grad_norm": 0.435546875, "learning_rate": 1.066322956435104e-05, "loss": 0.7181, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3896 }, { "epoch": 0.5310711365494685, "grad_norm": 0.265625, "learning_rate": 1.0658482138982005e-05, "loss": 0.7036, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3897 }, { "epoch": 0.5312074134641591, "grad_norm": 0.34765625, "learning_rate": 1.0653734564552957e-05, "loss": 0.7321, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3898 }, { "epoch": 0.5313436903788499, "grad_norm": 0.37890625, "learning_rate": 1.0648986842138607e-05, "loss": 0.7728, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3899 }, { "epoch": 0.5314799672935405, "grad_norm": 0.2734375, "learning_rate": 1.0644238972813692e-05, "loss": 0.6497, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3900 }, { "epoch": 0.5316162442082312, "grad_norm": 0.78125, "learning_rate": 1.063949095765298e-05, "loss": 0.7824, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3901 }, { "epoch": 0.5317525211229218, "grad_norm": 0.333984375, "learning_rate": 1.0634742797731274e-05, "loss": 0.7264, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3902 }, { "epoch": 0.5318887980376125, "grad_norm": 0.291015625, "learning_rate": 1.0629994494123412e-05, "loss": 0.7317, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3903 }, { "epoch": 0.5320250749523031, "grad_norm": 0.478515625, "learning_rate": 1.0625246047904269e-05, "loss": 0.755, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3904 }, { "epoch": 0.5321613518669938, "grad_norm": 0.28125, "learning_rate": 1.0620497460148737e-05, "loss": 0.7201, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3905 }, { "epoch": 0.5322976287816844, "grad_norm": 0.341796875, "learning_rate": 1.0615748731931755e-05, "loss": 0.6748, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3906 }, { "epoch": 0.532433905696375, "grad_norm": 0.302734375, "learning_rate": 1.0610999864328287e-05, "loss": 0.7065, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3907 }, { "epoch": 0.5325701826110657, "grad_norm": 0.232421875, "learning_rate": 1.060625085841333e-05, "loss": 0.6496, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3908 }, { "epoch": 0.5327064595257563, "grad_norm": 0.49609375, "learning_rate": 1.0601501715261913e-05, "loss": 0.7887, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3909 }, { "epoch": 0.532842736440447, "grad_norm": 0.400390625, "learning_rate": 1.0596752435949091e-05, "loss": 0.7861, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3910 }, { "epoch": 0.5329790133551376, "grad_norm": 0.265625, "learning_rate": 1.0592003021549961e-05, "loss": 0.6793, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3911 }, { "epoch": 0.5331152902698283, "grad_norm": 0.2578125, "learning_rate": 1.0587253473139642e-05, "loss": 0.6668, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3912 }, { "epoch": 0.5332515671845189, "grad_norm": 0.314453125, "learning_rate": 1.0582503791793281e-05, "loss": 0.6887, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3913 }, { "epoch": 0.5333878440992096, "grad_norm": 0.478515625, "learning_rate": 1.057775397858606e-05, "loss": 0.7808, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3914 }, { "epoch": 0.5335241210139002, "grad_norm": 0.369140625, "learning_rate": 1.0573004034593194e-05, "loss": 0.766, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3915 }, { "epoch": 0.5336603979285909, "grad_norm": 0.306640625, "learning_rate": 1.0568253960889923e-05, "loss": 0.6938, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3916 }, { "epoch": 0.5337966748432815, "grad_norm": 0.2890625, "learning_rate": 1.0563503758551509e-05, "loss": 0.7151, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3917 }, { "epoch": 0.5339329517579722, "grad_norm": 0.703125, "learning_rate": 1.0558753428653259e-05, "loss": 0.6192, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3918 }, { "epoch": 0.5340692286726628, "grad_norm": 0.27734375, "learning_rate": 1.0554002972270499e-05, "loss": 0.7894, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3919 }, { "epoch": 0.5342055055873535, "grad_norm": 0.34375, "learning_rate": 1.0549252390478587e-05, "loss": 0.6575, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3920 }, { "epoch": 0.5343417825020441, "grad_norm": 0.466796875, "learning_rate": 1.0544501684352902e-05, "loss": 0.6806, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3921 }, { "epoch": 0.5344780594167348, "grad_norm": 0.294921875, "learning_rate": 1.0539750854968862e-05, "loss": 0.7107, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3922 }, { "epoch": 0.5346143363314254, "grad_norm": 0.28125, "learning_rate": 1.0534999903401913e-05, "loss": 0.7176, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3923 }, { "epoch": 0.5347506132461161, "grad_norm": 0.2353515625, "learning_rate": 1.0530248830727511e-05, "loss": 0.6839, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3924 }, { "epoch": 0.5348868901608067, "grad_norm": 0.30859375, "learning_rate": 1.0525497638021162e-05, "loss": 0.698, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3925 }, { "epoch": 0.5350231670754975, "grad_norm": 0.5078125, "learning_rate": 1.0520746326358384e-05, "loss": 0.7527, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3926 }, { "epoch": 0.5351594439901881, "grad_norm": 0.2890625, "learning_rate": 1.0515994896814731e-05, "loss": 0.7286, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3927 }, { "epoch": 0.5352957209048788, "grad_norm": 0.255859375, "learning_rate": 1.0511243350465779e-05, "loss": 0.7035, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3928 }, { "epoch": 0.5354319978195694, "grad_norm": 0.2890625, "learning_rate": 1.0506491688387128e-05, "loss": 0.7102, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3929 }, { "epoch": 0.53556827473426, "grad_norm": 0.365234375, "learning_rate": 1.0501739911654414e-05, "loss": 0.7235, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3930 }, { "epoch": 0.5357045516489507, "grad_norm": 0.373046875, "learning_rate": 1.0496988021343284e-05, "loss": 0.7557, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3931 }, { "epoch": 0.5358408285636413, "grad_norm": 0.341796875, "learning_rate": 1.0492236018529423e-05, "loss": 0.7114, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3932 }, { "epoch": 0.535977105478332, "grad_norm": 0.28515625, "learning_rate": 1.0487483904288538e-05, "loss": 0.6956, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3933 }, { "epoch": 0.5361133823930226, "grad_norm": 0.3671875, "learning_rate": 1.0482731679696361e-05, "loss": 0.72, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3934 }, { "epoch": 0.5362496593077133, "grad_norm": 0.4453125, "learning_rate": 1.0477979345828651e-05, "loss": 0.9286, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3935 }, { "epoch": 0.5363859362224039, "grad_norm": 0.26171875, "learning_rate": 1.0473226903761184e-05, "loss": 0.6609, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3936 }, { "epoch": 0.5365222131370946, "grad_norm": 0.32421875, "learning_rate": 1.046847435456977e-05, "loss": 0.717, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3937 }, { "epoch": 0.5366584900517852, "grad_norm": 0.341796875, "learning_rate": 1.046372169933024e-05, "loss": 0.7579, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3938 }, { "epoch": 0.5367947669664759, "grad_norm": 0.337890625, "learning_rate": 1.0458968939118446e-05, "loss": 0.7333, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3939 }, { "epoch": 0.5369310438811665, "grad_norm": 0.296875, "learning_rate": 1.0454216075010264e-05, "loss": 0.7648, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3940 }, { "epoch": 0.5370673207958572, "grad_norm": 0.3203125, "learning_rate": 1.0449463108081602e-05, "loss": 0.7302, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3941 }, { "epoch": 0.5372035977105478, "grad_norm": 0.341796875, "learning_rate": 1.0444710039408378e-05, "loss": 0.7288, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3942 }, { "epoch": 0.5373398746252385, "grad_norm": 0.310546875, "learning_rate": 1.0439956870066546e-05, "loss": 0.6685, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3943 }, { "epoch": 0.5374761515399291, "grad_norm": 0.423828125, "learning_rate": 1.043520360113207e-05, "loss": 0.7918, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3944 }, { "epoch": 0.5376124284546198, "grad_norm": 0.265625, "learning_rate": 1.0430450233680948e-05, "loss": 0.6917, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3945 }, { "epoch": 0.5377487053693104, "grad_norm": 0.291015625, "learning_rate": 1.0425696768789195e-05, "loss": 0.6584, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3946 }, { "epoch": 0.5378849822840011, "grad_norm": 0.30078125, "learning_rate": 1.0420943207532848e-05, "loss": 0.6901, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3947 }, { "epoch": 0.5380212591986917, "grad_norm": 0.287109375, "learning_rate": 1.0416189550987968e-05, "loss": 0.6624, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3948 }, { "epoch": 0.5381575361133824, "grad_norm": 0.271484375, "learning_rate": 1.0411435800230634e-05, "loss": 0.7153, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3949 }, { "epoch": 0.538293813028073, "grad_norm": 0.341796875, "learning_rate": 1.0406681956336946e-05, "loss": 0.7519, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3950 }, { "epoch": 0.5384300899427636, "grad_norm": 0.279296875, "learning_rate": 1.0401928020383029e-05, "loss": 0.7534, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3951 }, { "epoch": 0.5385663668574543, "grad_norm": 0.271484375, "learning_rate": 1.039717399344503e-05, "loss": 0.6775, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3952 }, { "epoch": 0.538702643772145, "grad_norm": 0.47265625, "learning_rate": 1.0392419876599114e-05, "loss": 0.7446, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3953 }, { "epoch": 0.5388389206868357, "grad_norm": 0.283203125, "learning_rate": 1.0387665670921463e-05, "loss": 0.665, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3954 }, { "epoch": 0.5389751976015263, "grad_norm": 0.302734375, "learning_rate": 1.038291137748828e-05, "loss": 0.7469, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3955 }, { "epoch": 0.539111474516217, "grad_norm": 0.396484375, "learning_rate": 1.0378156997375796e-05, "loss": 0.7292, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3956 }, { "epoch": 0.5392477514309076, "grad_norm": 0.361328125, "learning_rate": 1.0373402531660255e-05, "loss": 0.7076, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3957 }, { "epoch": 0.5393840283455983, "grad_norm": 0.296875, "learning_rate": 1.0368647981417917e-05, "loss": 0.6795, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3958 }, { "epoch": 0.5395203052602889, "grad_norm": 0.79296875, "learning_rate": 1.0363893347725065e-05, "loss": 0.7819, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3959 }, { "epoch": 0.5396565821749796, "grad_norm": 0.37890625, "learning_rate": 1.0359138631658006e-05, "loss": 0.7799, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3960 }, { "epoch": 0.5397928590896702, "grad_norm": 0.296875, "learning_rate": 1.035438383429306e-05, "loss": 0.703, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3961 }, { "epoch": 0.5399291360043609, "grad_norm": 0.248046875, "learning_rate": 1.0349628956706563e-05, "loss": 0.7178, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3962 }, { "epoch": 0.5400654129190515, "grad_norm": 0.3203125, "learning_rate": 1.0344873999974874e-05, "loss": 0.6799, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3963 }, { "epoch": 0.5402016898337422, "grad_norm": 0.423828125, "learning_rate": 1.034011896517437e-05, "loss": 0.8087, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3964 }, { "epoch": 0.5403379667484328, "grad_norm": 0.28125, "learning_rate": 1.0335363853381442e-05, "loss": 0.6636, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3965 }, { "epoch": 0.5404742436631235, "grad_norm": 0.353515625, "learning_rate": 1.03306086656725e-05, "loss": 0.7424, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3966 }, { "epoch": 0.5406105205778141, "grad_norm": 0.271484375, "learning_rate": 1.032585340312397e-05, "loss": 0.732, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3967 }, { "epoch": 0.5407467974925048, "grad_norm": 0.267578125, "learning_rate": 1.0321098066812303e-05, "loss": 0.6571, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3968 }, { "epoch": 0.5408830744071954, "grad_norm": 0.330078125, "learning_rate": 1.0316342657813952e-05, "loss": 0.7106, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3969 }, { "epoch": 0.541019351321886, "grad_norm": 0.318359375, "learning_rate": 1.03115871772054e-05, "loss": 0.7418, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3970 }, { "epoch": 0.5411556282365767, "grad_norm": 0.388671875, "learning_rate": 1.0306831626063138e-05, "loss": 0.6744, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3971 }, { "epoch": 0.5412919051512673, "grad_norm": 0.28515625, "learning_rate": 1.0302076005463678e-05, "loss": 0.7274, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3972 }, { "epoch": 0.541428182065958, "grad_norm": 0.3125, "learning_rate": 1.0297320316483544e-05, "loss": 0.6695, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3973 }, { "epoch": 0.5415644589806486, "grad_norm": 0.326171875, "learning_rate": 1.0292564560199279e-05, "loss": 0.7412, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3974 }, { "epoch": 0.5417007358953393, "grad_norm": 0.232421875, "learning_rate": 1.0287808737687437e-05, "loss": 0.7222, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3975 }, { "epoch": 0.5418370128100299, "grad_norm": 0.30078125, "learning_rate": 1.0283052850024593e-05, "loss": 0.7359, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3976 }, { "epoch": 0.5419732897247206, "grad_norm": 0.443359375, "learning_rate": 1.0278296898287328e-05, "loss": 0.7452, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3977 }, { "epoch": 0.5421095666394112, "grad_norm": 0.38671875, "learning_rate": 1.0273540883552244e-05, "loss": 0.7783, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3978 }, { "epoch": 0.5422458435541019, "grad_norm": 0.44140625, "learning_rate": 1.0268784806895961e-05, "loss": 0.7883, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3979 }, { "epoch": 0.5423821204687926, "grad_norm": 0.283203125, "learning_rate": 1.02640286693951e-05, "loss": 0.7901, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3980 }, { "epoch": 0.5425183973834833, "grad_norm": 0.255859375, "learning_rate": 1.0259272472126307e-05, "loss": 0.7245, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3981 }, { "epoch": 0.5426546742981739, "grad_norm": 0.4140625, "learning_rate": 1.0254516216166237e-05, "loss": 0.763, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3982 }, { "epoch": 0.5427909512128646, "grad_norm": 0.30078125, "learning_rate": 1.0249759902591562e-05, "loss": 0.6974, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3983 }, { "epoch": 0.5429272281275552, "grad_norm": 0.326171875, "learning_rate": 1.0245003532478964e-05, "loss": 0.7162, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3984 }, { "epoch": 0.5430635050422459, "grad_norm": 0.404296875, "learning_rate": 1.0240247106905135e-05, "loss": 0.7372, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3985 }, { "epoch": 0.5431997819569365, "grad_norm": 0.51171875, "learning_rate": 1.0235490626946784e-05, "loss": 0.7102, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3986 }, { "epoch": 0.5433360588716272, "grad_norm": 0.34765625, "learning_rate": 1.0230734093680634e-05, "loss": 0.7081, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3987 }, { "epoch": 0.5434723357863178, "grad_norm": 0.3359375, "learning_rate": 1.0225977508183416e-05, "loss": 0.6846, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3988 }, { "epoch": 0.5436086127010085, "grad_norm": 0.31640625, "learning_rate": 1.022122087153187e-05, "loss": 0.7349, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3989 }, { "epoch": 0.5437448896156991, "grad_norm": 0.310546875, "learning_rate": 1.0216464184802754e-05, "loss": 0.6645, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3990 }, { "epoch": 0.5438811665303898, "grad_norm": 0.271484375, "learning_rate": 1.021170744907284e-05, "loss": 0.6934, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3991 }, { "epoch": 0.5440174434450804, "grad_norm": 0.26953125, "learning_rate": 1.02069506654189e-05, "loss": 0.6938, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3992 }, { "epoch": 0.544153720359771, "grad_norm": 0.33984375, "learning_rate": 1.0202193834917721e-05, "loss": 0.6822, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3993 }, { "epoch": 0.5442899972744617, "grad_norm": 0.33984375, "learning_rate": 1.019743695864611e-05, "loss": 0.7666, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3994 }, { "epoch": 0.5444262741891523, "grad_norm": 0.283203125, "learning_rate": 1.019268003768087e-05, "loss": 0.7114, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3995 }, { "epoch": 0.544562551103843, "grad_norm": 0.287109375, "learning_rate": 1.0187923073098824e-05, "loss": 0.7905, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3996 }, { "epoch": 0.5446988280185336, "grad_norm": 0.3203125, "learning_rate": 1.0183166065976802e-05, "loss": 0.7772, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3997 }, { "epoch": 0.5448351049332243, "grad_norm": 0.251953125, "learning_rate": 1.0178409017391642e-05, "loss": 0.733, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3998 }, { "epoch": 0.5449713818479149, "grad_norm": 0.310546875, "learning_rate": 1.0173651928420193e-05, "loss": 0.7627, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 3999 }, { "epoch": 0.5451076587626056, "grad_norm": 0.25, "learning_rate": 1.0168894800139311e-05, "loss": 0.6679, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4000 }, { "epoch": 0.5452439356772962, "grad_norm": 0.291015625, "learning_rate": 1.0164137633625869e-05, "loss": 0.6713, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4001 }, { "epoch": 0.5453802125919869, "grad_norm": 0.265625, "learning_rate": 1.0159380429956738e-05, "loss": 0.6561, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4002 }, { "epoch": 0.5455164895066775, "grad_norm": 0.2890625, "learning_rate": 1.0154623190208803e-05, "loss": 0.6961, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4003 }, { "epoch": 0.5456527664213682, "grad_norm": 0.33203125, "learning_rate": 1.0149865915458954e-05, "loss": 0.8177, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4004 }, { "epoch": 0.5457890433360588, "grad_norm": 0.291015625, "learning_rate": 1.0145108606784094e-05, "loss": 0.7467, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4005 }, { "epoch": 0.5459253202507495, "grad_norm": 0.283203125, "learning_rate": 1.014035126526113e-05, "loss": 0.7241, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4006 }, { "epoch": 0.5460615971654402, "grad_norm": 0.3125, "learning_rate": 1.0135593891966975e-05, "loss": 0.6654, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4007 }, { "epoch": 0.5461978740801309, "grad_norm": 0.26953125, "learning_rate": 1.0130836487978552e-05, "loss": 0.6737, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4008 }, { "epoch": 0.5463341509948215, "grad_norm": 0.35546875, "learning_rate": 1.0126079054372792e-05, "loss": 0.708, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4009 }, { "epoch": 0.5464704279095122, "grad_norm": 0.25390625, "learning_rate": 1.0121321592226633e-05, "loss": 0.7378, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4010 }, { "epoch": 0.5466067048242028, "grad_norm": 0.271484375, "learning_rate": 1.011656410261701e-05, "loss": 0.7297, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4011 }, { "epoch": 0.5467429817388935, "grad_norm": 0.2373046875, "learning_rate": 1.0111806586620879e-05, "loss": 0.7773, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4012 }, { "epoch": 0.5468792586535841, "grad_norm": 0.26171875, "learning_rate": 1.0107049045315191e-05, "loss": 0.6489, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4013 }, { "epoch": 0.5470155355682748, "grad_norm": 0.34375, "learning_rate": 1.0102291479776907e-05, "loss": 0.7422, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4014 }, { "epoch": 0.5471518124829654, "grad_norm": 0.37890625, "learning_rate": 1.0097533891082992e-05, "loss": 0.8221, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4015 }, { "epoch": 0.547288089397656, "grad_norm": 0.30859375, "learning_rate": 1.0092776280310416e-05, "loss": 0.6711, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4016 }, { "epoch": 0.5474243663123467, "grad_norm": 0.2353515625, "learning_rate": 1.0088018648536165e-05, "loss": 0.6954, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4017 }, { "epoch": 0.5475606432270373, "grad_norm": 0.33984375, "learning_rate": 1.0083260996837205e-05, "loss": 0.7647, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4018 }, { "epoch": 0.547696920141728, "grad_norm": 0.3125, "learning_rate": 1.0078503326290527e-05, "loss": 0.7793, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4019 }, { "epoch": 0.5478331970564186, "grad_norm": 0.28515625, "learning_rate": 1.0073745637973125e-05, "loss": 0.7188, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4020 }, { "epoch": 0.5479694739711093, "grad_norm": 0.384765625, "learning_rate": 1.0068987932961991e-05, "loss": 0.7434, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4021 }, { "epoch": 0.5481057508857999, "grad_norm": 0.3515625, "learning_rate": 1.0064230212334119e-05, "loss": 0.7147, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4022 }, { "epoch": 0.5482420278004906, "grad_norm": 0.333984375, "learning_rate": 1.005947247716651e-05, "loss": 0.6861, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4023 }, { "epoch": 0.5483783047151812, "grad_norm": 0.322265625, "learning_rate": 1.0054714728536167e-05, "loss": 0.6838, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4024 }, { "epoch": 0.5485145816298719, "grad_norm": 0.353515625, "learning_rate": 1.0049956967520108e-05, "loss": 0.7274, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4025 }, { "epoch": 0.5486508585445625, "grad_norm": 0.4609375, "learning_rate": 1.004519919519533e-05, "loss": 0.7511, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4026 }, { "epoch": 0.5487871354592532, "grad_norm": 0.443359375, "learning_rate": 1.0040441412638853e-05, "loss": 0.8219, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4027 }, { "epoch": 0.5489234123739438, "grad_norm": 0.31640625, "learning_rate": 1.003568362092769e-05, "loss": 0.712, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4028 }, { "epoch": 0.5490596892886345, "grad_norm": 0.32421875, "learning_rate": 1.0030925821138858e-05, "loss": 0.7678, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4029 }, { "epoch": 0.5491959662033251, "grad_norm": 0.69140625, "learning_rate": 1.0026168014349373e-05, "loss": 0.667, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4030 }, { "epoch": 0.5493322431180158, "grad_norm": 0.2236328125, "learning_rate": 1.0021410201636258e-05, "loss": 0.6295, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4031 }, { "epoch": 0.5494685200327064, "grad_norm": 0.287109375, "learning_rate": 1.001665238407654e-05, "loss": 0.6846, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4032 }, { "epoch": 0.5496047969473971, "grad_norm": 0.2890625, "learning_rate": 1.0011894562747233e-05, "loss": 0.724, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4033 }, { "epoch": 0.5497410738620878, "grad_norm": 0.33984375, "learning_rate": 1.0007136738725365e-05, "loss": 0.7817, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4034 }, { "epoch": 0.5498773507767785, "grad_norm": 0.27734375, "learning_rate": 1.000237891308796e-05, "loss": 0.7105, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4035 }, { "epoch": 0.5500136276914691, "grad_norm": 0.29296875, "learning_rate": 9.997621086912043e-06, "loss": 0.699, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4036 }, { "epoch": 0.5501499046061598, "grad_norm": 0.32421875, "learning_rate": 9.992863261274639e-06, "loss": 0.6829, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4037 }, { "epoch": 0.5502861815208504, "grad_norm": 0.337890625, "learning_rate": 9.98810543725277e-06, "loss": 0.7221, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4038 }, { "epoch": 0.550422458435541, "grad_norm": 0.236328125, "learning_rate": 9.983347615923465e-06, "loss": 0.6834, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4039 }, { "epoch": 0.5505587353502317, "grad_norm": 0.328125, "learning_rate": 9.978589798363741e-06, "loss": 0.777, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4040 }, { "epoch": 0.5506950122649223, "grad_norm": 0.33984375, "learning_rate": 9.97383198565063e-06, "loss": 0.738, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4041 }, { "epoch": 0.550831289179613, "grad_norm": 0.306640625, "learning_rate": 9.969074178861149e-06, "loss": 0.6816, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4042 }, { "epoch": 0.5509675660943036, "grad_norm": 0.318359375, "learning_rate": 9.964316379072314e-06, "loss": 0.6641, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4043 }, { "epoch": 0.5511038430089943, "grad_norm": 0.287109375, "learning_rate": 9.95955858736115e-06, "loss": 0.6854, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4044 }, { "epoch": 0.5512401199236849, "grad_norm": 0.421875, "learning_rate": 9.954800804804675e-06, "loss": 0.7114, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4045 }, { "epoch": 0.5513763968383756, "grad_norm": 0.248046875, "learning_rate": 9.950043032479896e-06, "loss": 0.6544, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4046 }, { "epoch": 0.5515126737530662, "grad_norm": 0.345703125, "learning_rate": 9.945285271463834e-06, "loss": 0.683, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4047 }, { "epoch": 0.5516489506677569, "grad_norm": 0.263671875, "learning_rate": 9.940527522833494e-06, "loss": 0.6942, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4048 }, { "epoch": 0.5517852275824475, "grad_norm": 0.30859375, "learning_rate": 9.935769787665886e-06, "loss": 0.6869, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4049 }, { "epoch": 0.5519215044971382, "grad_norm": 0.34375, "learning_rate": 9.931012067038014e-06, "loss": 0.6933, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4050 }, { "epoch": 0.5520577814118288, "grad_norm": 0.283203125, "learning_rate": 9.926254362026875e-06, "loss": 0.7109, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4051 }, { "epoch": 0.5521940583265195, "grad_norm": 0.275390625, "learning_rate": 9.921496673709475e-06, "loss": 0.6443, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4052 }, { "epoch": 0.5523303352412101, "grad_norm": 0.255859375, "learning_rate": 9.9167390031628e-06, "loss": 0.6882, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4053 }, { "epoch": 0.5524666121559008, "grad_norm": 0.30078125, "learning_rate": 9.91198135146384e-06, "loss": 0.6723, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4054 }, { "epoch": 0.5526028890705914, "grad_norm": 0.33984375, "learning_rate": 9.907223719689586e-06, "loss": 0.8102, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4055 }, { "epoch": 0.552739165985282, "grad_norm": 0.302734375, "learning_rate": 9.90246610891701e-06, "loss": 0.7658, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4056 }, { "epoch": 0.5528754428999727, "grad_norm": 0.298828125, "learning_rate": 9.897708520223096e-06, "loss": 0.7019, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4057 }, { "epoch": 0.5530117198146633, "grad_norm": 0.29296875, "learning_rate": 9.892950954684814e-06, "loss": 0.7367, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4058 }, { "epoch": 0.553147996729354, "grad_norm": 0.27734375, "learning_rate": 9.888193413379123e-06, "loss": 0.7004, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4059 }, { "epoch": 0.5532842736440446, "grad_norm": 0.51953125, "learning_rate": 9.883435897382993e-06, "loss": 0.751, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4060 }, { "epoch": 0.5534205505587354, "grad_norm": 0.326171875, "learning_rate": 9.87867840777337e-06, "loss": 0.6848, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4061 }, { "epoch": 0.553556827473426, "grad_norm": 0.59375, "learning_rate": 9.87392094562721e-06, "loss": 0.7956, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4062 }, { "epoch": 0.5536931043881167, "grad_norm": 0.28125, "learning_rate": 9.86916351202145e-06, "loss": 0.7382, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4063 }, { "epoch": 0.5538293813028073, "grad_norm": 0.271484375, "learning_rate": 9.86440610803303e-06, "loss": 0.7234, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4064 }, { "epoch": 0.553965658217498, "grad_norm": 0.73828125, "learning_rate": 9.859648734738873e-06, "loss": 0.6622, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4065 }, { "epoch": 0.5541019351321886, "grad_norm": 0.42578125, "learning_rate": 9.85489139321591e-06, "loss": 0.8029, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4066 }, { "epoch": 0.5542382120468793, "grad_norm": 0.28515625, "learning_rate": 9.850134084541046e-06, "loss": 0.6793, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4067 }, { "epoch": 0.5543744889615699, "grad_norm": 0.3203125, "learning_rate": 9.8453768097912e-06, "loss": 0.7369, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4068 }, { "epoch": 0.5545107658762606, "grad_norm": 0.337890625, "learning_rate": 9.840619570043266e-06, "loss": 0.7299, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4069 }, { "epoch": 0.5546470427909512, "grad_norm": 0.31640625, "learning_rate": 9.835862366374133e-06, "loss": 0.7572, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4070 }, { "epoch": 0.5547833197056419, "grad_norm": 0.3203125, "learning_rate": 9.83110519986069e-06, "loss": 0.736, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4071 }, { "epoch": 0.5549195966203325, "grad_norm": 0.2734375, "learning_rate": 9.82634807157981e-06, "loss": 0.7339, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4072 }, { "epoch": 0.5550558735350232, "grad_norm": 0.30078125, "learning_rate": 9.821590982608362e-06, "loss": 0.69, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4073 }, { "epoch": 0.5551921504497138, "grad_norm": 0.296875, "learning_rate": 9.816833934023201e-06, "loss": 0.702, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4074 }, { "epoch": 0.5553284273644045, "grad_norm": 0.294921875, "learning_rate": 9.812076926901178e-06, "loss": 0.6417, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4075 }, { "epoch": 0.5554647042790951, "grad_norm": 0.29296875, "learning_rate": 9.807319962319131e-06, "loss": 0.6585, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4076 }, { "epoch": 0.5556009811937858, "grad_norm": 0.27734375, "learning_rate": 9.802563041353894e-06, "loss": 0.7283, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4077 }, { "epoch": 0.5557372581084764, "grad_norm": 0.423828125, "learning_rate": 9.797806165082279e-06, "loss": 0.679, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4078 }, { "epoch": 0.555873535023167, "grad_norm": 0.296875, "learning_rate": 9.793049334581104e-06, "loss": 0.7351, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4079 }, { "epoch": 0.5560098119378577, "grad_norm": 0.388671875, "learning_rate": 9.788292550927165e-06, "loss": 0.6738, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4080 }, { "epoch": 0.5561460888525483, "grad_norm": 0.28125, "learning_rate": 9.783535815197246e-06, "loss": 0.6533, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4081 }, { "epoch": 0.556282365767239, "grad_norm": 0.373046875, "learning_rate": 9.778779128468133e-06, "loss": 0.6834, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4082 }, { "epoch": 0.5564186426819296, "grad_norm": 0.271484375, "learning_rate": 9.774022491816591e-06, "loss": 0.7478, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4083 }, { "epoch": 0.5565549195966203, "grad_norm": 0.388671875, "learning_rate": 9.769265906319369e-06, "loss": 0.7478, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4084 }, { "epoch": 0.5566911965113109, "grad_norm": 0.3125, "learning_rate": 9.76450937305322e-06, "loss": 0.7074, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4085 }, { "epoch": 0.5568274734260016, "grad_norm": 0.30859375, "learning_rate": 9.759752893094866e-06, "loss": 0.7508, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4086 }, { "epoch": 0.5569637503406922, "grad_norm": 0.298828125, "learning_rate": 9.754996467521041e-06, "loss": 0.7076, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4087 }, { "epoch": 0.557100027255383, "grad_norm": 0.322265625, "learning_rate": 9.750240097408441e-06, "loss": 0.7478, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4088 }, { "epoch": 0.5572363041700736, "grad_norm": 0.306640625, "learning_rate": 9.745483783833763e-06, "loss": 0.7113, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4089 }, { "epoch": 0.5573725810847643, "grad_norm": 0.3046875, "learning_rate": 9.740727527873696e-06, "loss": 0.7043, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4090 }, { "epoch": 0.5575088579994549, "grad_norm": 0.337890625, "learning_rate": 9.735971330604905e-06, "loss": 0.7337, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4091 }, { "epoch": 0.5576451349141456, "grad_norm": 0.388671875, "learning_rate": 9.731215193104042e-06, "loss": 0.731, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4092 }, { "epoch": 0.5577814118288362, "grad_norm": 0.318359375, "learning_rate": 9.726459116447757e-06, "loss": 0.7568, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4093 }, { "epoch": 0.5579176887435269, "grad_norm": 0.419921875, "learning_rate": 9.721703101712675e-06, "loss": 0.739, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4094 }, { "epoch": 0.5580539656582175, "grad_norm": 0.38671875, "learning_rate": 9.71694714997541e-06, "loss": 0.74, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4095 }, { "epoch": 0.5581902425729082, "grad_norm": 0.31640625, "learning_rate": 9.712191262312565e-06, "loss": 0.6805, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4096 }, { "epoch": 0.5583265194875988, "grad_norm": 0.298828125, "learning_rate": 9.707435439800721e-06, "loss": 0.7275, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4097 }, { "epoch": 0.5584627964022895, "grad_norm": 0.41796875, "learning_rate": 9.702679683516458e-06, "loss": 0.8368, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4098 }, { "epoch": 0.5585990733169801, "grad_norm": 0.267578125, "learning_rate": 9.697923994536324e-06, "loss": 0.6869, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4099 }, { "epoch": 0.5587353502316708, "grad_norm": 0.5625, "learning_rate": 9.693168373936865e-06, "loss": 0.7489, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4100 }, { "epoch": 0.5588716271463614, "grad_norm": 0.390625, "learning_rate": 9.688412822794605e-06, "loss": 0.8519, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4101 }, { "epoch": 0.559007904061052, "grad_norm": 0.4765625, "learning_rate": 9.683657342186053e-06, "loss": 0.7832, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4102 }, { "epoch": 0.5591441809757427, "grad_norm": 0.255859375, "learning_rate": 9.678901933187702e-06, "loss": 0.7192, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4103 }, { "epoch": 0.5592804578904333, "grad_norm": 0.310546875, "learning_rate": 9.674146596876032e-06, "loss": 0.6997, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4104 }, { "epoch": 0.559416734805124, "grad_norm": 0.6171875, "learning_rate": 9.669391334327502e-06, "loss": 0.7286, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4105 }, { "epoch": 0.5595530117198146, "grad_norm": 0.333984375, "learning_rate": 9.664636146618561e-06, "loss": 0.7926, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4106 }, { "epoch": 0.5596892886345053, "grad_norm": 0.296875, "learning_rate": 9.659881034825634e-06, "loss": 0.7705, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4107 }, { "epoch": 0.5598255655491959, "grad_norm": 0.404296875, "learning_rate": 9.655126000025128e-06, "loss": 0.7251, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4108 }, { "epoch": 0.5599618424638866, "grad_norm": 0.2431640625, "learning_rate": 9.65037104329344e-06, "loss": 0.7299, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4109 }, { "epoch": 0.5600981193785772, "grad_norm": 0.353515625, "learning_rate": 9.645616165706944e-06, "loss": 0.7126, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4110 }, { "epoch": 0.5602343962932679, "grad_norm": 0.310546875, "learning_rate": 9.640861368341995e-06, "loss": 0.7175, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4111 }, { "epoch": 0.5603706732079585, "grad_norm": 0.32421875, "learning_rate": 9.636106652274938e-06, "loss": 0.6984, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4112 }, { "epoch": 0.5605069501226492, "grad_norm": 0.28125, "learning_rate": 9.631352018582088e-06, "loss": 0.693, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4113 }, { "epoch": 0.5606432270373398, "grad_norm": 0.28515625, "learning_rate": 9.626597468339748e-06, "loss": 0.6957, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4114 }, { "epoch": 0.5607795039520306, "grad_norm": 0.267578125, "learning_rate": 9.621843002624206e-06, "loss": 0.7166, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4115 }, { "epoch": 0.5609157808667212, "grad_norm": 0.322265625, "learning_rate": 9.61708862251172e-06, "loss": 0.7182, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4116 }, { "epoch": 0.5610520577814119, "grad_norm": 0.5390625, "learning_rate": 9.612334329078542e-06, "loss": 0.8026, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4117 }, { "epoch": 0.5611883346961025, "grad_norm": 0.326171875, "learning_rate": 9.60758012340089e-06, "loss": 0.6529, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4118 }, { "epoch": 0.5613246116107932, "grad_norm": 0.310546875, "learning_rate": 9.60282600655497e-06, "loss": 0.7653, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4119 }, { "epoch": 0.5614608885254838, "grad_norm": 0.328125, "learning_rate": 9.598071979616973e-06, "loss": 0.7211, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4120 }, { "epoch": 0.5615971654401745, "grad_norm": 0.291015625, "learning_rate": 9.593318043663059e-06, "loss": 0.7139, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4121 }, { "epoch": 0.5617334423548651, "grad_norm": 0.322265625, "learning_rate": 9.58856419976937e-06, "loss": 0.7699, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4122 }, { "epoch": 0.5618697192695558, "grad_norm": 0.2392578125, "learning_rate": 9.583810449012037e-06, "loss": 0.7176, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4123 }, { "epoch": 0.5620059961842464, "grad_norm": 0.337890625, "learning_rate": 9.579056792467152e-06, "loss": 0.6755, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4124 }, { "epoch": 0.562142273098937, "grad_norm": 0.345703125, "learning_rate": 9.574303231210808e-06, "loss": 0.7365, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4125 }, { "epoch": 0.5622785500136277, "grad_norm": 0.2392578125, "learning_rate": 9.569549766319054e-06, "loss": 0.6828, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4126 }, { "epoch": 0.5624148269283183, "grad_norm": 0.2470703125, "learning_rate": 9.564796398867933e-06, "loss": 0.6873, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4127 }, { "epoch": 0.562551103843009, "grad_norm": 0.28515625, "learning_rate": 9.560043129933457e-06, "loss": 0.7441, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4128 }, { "epoch": 0.5626873807576996, "grad_norm": 0.28515625, "learning_rate": 9.555289960591625e-06, "loss": 0.6762, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4129 }, { "epoch": 0.5628236576723903, "grad_norm": 0.27734375, "learning_rate": 9.5505368919184e-06, "loss": 0.7152, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4130 }, { "epoch": 0.5629599345870809, "grad_norm": 0.28125, "learning_rate": 9.54578392498974e-06, "loss": 0.6777, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4131 }, { "epoch": 0.5630962115017716, "grad_norm": 0.423828125, "learning_rate": 9.54103106088156e-06, "loss": 0.7723, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4132 }, { "epoch": 0.5632324884164622, "grad_norm": 0.31640625, "learning_rate": 9.536278300669763e-06, "loss": 0.6748, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4133 }, { "epoch": 0.5633687653311529, "grad_norm": 0.326171875, "learning_rate": 9.531525645430234e-06, "loss": 0.7343, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4134 }, { "epoch": 0.5635050422458435, "grad_norm": 0.275390625, "learning_rate": 9.526773096238817e-06, "loss": 0.7187, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4135 }, { "epoch": 0.5636413191605342, "grad_norm": 0.40625, "learning_rate": 9.522020654171354e-06, "loss": 0.7756, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4136 }, { "epoch": 0.5637775960752248, "grad_norm": 0.283203125, "learning_rate": 9.51726832030364e-06, "loss": 0.6861, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4137 }, { "epoch": 0.5639138729899155, "grad_norm": 0.54296875, "learning_rate": 9.512516095711465e-06, "loss": 0.8075, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4138 }, { "epoch": 0.5640501499046061, "grad_norm": 0.30859375, "learning_rate": 9.50776398147058e-06, "loss": 0.8001, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4139 }, { "epoch": 0.5641864268192968, "grad_norm": 0.333984375, "learning_rate": 9.503011978656723e-06, "loss": 0.7406, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4140 }, { "epoch": 0.5643227037339874, "grad_norm": 0.37890625, "learning_rate": 9.49826008834559e-06, "loss": 0.6736, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4141 }, { "epoch": 0.5644589806486782, "grad_norm": 0.359375, "learning_rate": 9.493508311612874e-06, "loss": 0.6973, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4142 }, { "epoch": 0.5645952575633688, "grad_norm": 0.302734375, "learning_rate": 9.488756649534227e-06, "loss": 0.7362, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4143 }, { "epoch": 0.5647315344780595, "grad_norm": 0.255859375, "learning_rate": 9.48400510318527e-06, "loss": 0.6659, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4144 }, { "epoch": 0.5648678113927501, "grad_norm": 0.31640625, "learning_rate": 9.479253673641619e-06, "loss": 0.7395, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4145 }, { "epoch": 0.5650040883074408, "grad_norm": 0.50390625, "learning_rate": 9.47450236197884e-06, "loss": 0.6478, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4146 }, { "epoch": 0.5651403652221314, "grad_norm": 0.271484375, "learning_rate": 9.46975116927249e-06, "loss": 0.697, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4147 }, { "epoch": 0.565276642136822, "grad_norm": 0.318359375, "learning_rate": 9.465000096598094e-06, "loss": 0.745, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4148 }, { "epoch": 0.5654129190515127, "grad_norm": 0.306640625, "learning_rate": 9.460249145031138e-06, "loss": 0.6763, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4149 }, { "epoch": 0.5655491959662033, "grad_norm": 0.322265625, "learning_rate": 9.455498315647101e-06, "loss": 0.6847, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4150 }, { "epoch": 0.565685472880894, "grad_norm": 0.390625, "learning_rate": 9.450747609521418e-06, "loss": 0.6798, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4151 }, { "epoch": 0.5658217497955846, "grad_norm": 0.330078125, "learning_rate": 9.445997027729503e-06, "loss": 0.7493, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4152 }, { "epoch": 0.5659580267102753, "grad_norm": 0.2421875, "learning_rate": 9.441246571346743e-06, "loss": 0.7592, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4153 }, { "epoch": 0.5660943036249659, "grad_norm": 0.291015625, "learning_rate": 9.43649624144849e-06, "loss": 0.6933, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4154 }, { "epoch": 0.5662305805396566, "grad_norm": 0.443359375, "learning_rate": 9.431746039110082e-06, "loss": 0.7067, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4155 }, { "epoch": 0.5663668574543472, "grad_norm": 0.2578125, "learning_rate": 9.426995965406809e-06, "loss": 0.6516, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4156 }, { "epoch": 0.5665031343690379, "grad_norm": 0.2890625, "learning_rate": 9.422246021413938e-06, "loss": 0.7228, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4157 }, { "epoch": 0.5666394112837285, "grad_norm": 0.26171875, "learning_rate": 9.41749620820672e-06, "loss": 0.6971, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4158 }, { "epoch": 0.5667756881984192, "grad_norm": 0.345703125, "learning_rate": 9.412746526860363e-06, "loss": 0.734, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4159 }, { "epoch": 0.5669119651131098, "grad_norm": 0.255859375, "learning_rate": 9.407996978450039e-06, "loss": 0.7693, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4160 }, { "epoch": 0.5670482420278005, "grad_norm": 0.349609375, "learning_rate": 9.40324756405091e-06, "loss": 0.7221, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4161 }, { "epoch": 0.5671845189424911, "grad_norm": 0.357421875, "learning_rate": 9.398498284738092e-06, "loss": 0.6976, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4162 }, { "epoch": 0.5673207958571818, "grad_norm": 0.3984375, "learning_rate": 9.393749141586673e-06, "loss": 0.6655, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4163 }, { "epoch": 0.5674570727718724, "grad_norm": 0.3125, "learning_rate": 9.389000135671716e-06, "loss": 0.7223, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4164 }, { "epoch": 0.567593349686563, "grad_norm": 0.41015625, "learning_rate": 9.384251268068247e-06, "loss": 0.7163, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4165 }, { "epoch": 0.5677296266012537, "grad_norm": 0.302734375, "learning_rate": 9.379502539851264e-06, "loss": 0.7017, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4166 }, { "epoch": 0.5678659035159443, "grad_norm": 0.41796875, "learning_rate": 9.374753952095736e-06, "loss": 0.7012, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4167 }, { "epoch": 0.568002180430635, "grad_norm": 0.3828125, "learning_rate": 9.370005505876588e-06, "loss": 0.7106, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4168 }, { "epoch": 0.5681384573453258, "grad_norm": 0.4453125, "learning_rate": 9.365257202268729e-06, "loss": 0.8355, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4169 }, { "epoch": 0.5682747342600164, "grad_norm": 0.30078125, "learning_rate": 9.360509042347025e-06, "loss": 0.7026, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4170 }, { "epoch": 0.568411011174707, "grad_norm": 0.30859375, "learning_rate": 9.35576102718631e-06, "loss": 0.738, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4171 }, { "epoch": 0.5685472880893977, "grad_norm": 0.404296875, "learning_rate": 9.351013157861394e-06, "loss": 0.7789, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4172 }, { "epoch": 0.5686835650040883, "grad_norm": 0.3125, "learning_rate": 9.346265435447043e-06, "loss": 0.674, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4173 }, { "epoch": 0.568819841918779, "grad_norm": 0.40234375, "learning_rate": 9.341517861017998e-06, "loss": 0.7867, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4174 }, { "epoch": 0.5689561188334696, "grad_norm": 0.3359375, "learning_rate": 9.336770435648963e-06, "loss": 0.6907, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4175 }, { "epoch": 0.5690923957481603, "grad_norm": 0.3515625, "learning_rate": 9.332023160414602e-06, "loss": 0.7321, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4176 }, { "epoch": 0.5692286726628509, "grad_norm": 0.314453125, "learning_rate": 9.327276036389563e-06, "loss": 0.764, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4177 }, { "epoch": 0.5693649495775416, "grad_norm": 0.271484375, "learning_rate": 9.322529064648438e-06, "loss": 0.6385, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4178 }, { "epoch": 0.5695012264922322, "grad_norm": 0.251953125, "learning_rate": 9.317782246265795e-06, "loss": 0.763, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4179 }, { "epoch": 0.5696375034069229, "grad_norm": 0.388671875, "learning_rate": 9.313035582316177e-06, "loss": 0.6809, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4180 }, { "epoch": 0.5697737803216135, "grad_norm": 0.271484375, "learning_rate": 9.308289073874074e-06, "loss": 0.7066, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4181 }, { "epoch": 0.5699100572363042, "grad_norm": 0.357421875, "learning_rate": 9.303542722013945e-06, "loss": 0.6797, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4182 }, { "epoch": 0.5700463341509948, "grad_norm": 0.3203125, "learning_rate": 9.298796527810228e-06, "loss": 0.7261, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4183 }, { "epoch": 0.5701826110656855, "grad_norm": 0.328125, "learning_rate": 9.294050492337306e-06, "loss": 0.7705, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4184 }, { "epoch": 0.5703188879803761, "grad_norm": 0.287109375, "learning_rate": 9.28930461666954e-06, "loss": 0.6882, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4185 }, { "epoch": 0.5704551648950668, "grad_norm": 0.3125, "learning_rate": 9.28455890188125e-06, "loss": 0.681, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4186 }, { "epoch": 0.5705914418097574, "grad_norm": 0.283203125, "learning_rate": 9.279813349046712e-06, "loss": 0.7365, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4187 }, { "epoch": 0.570727718724448, "grad_norm": 0.271484375, "learning_rate": 9.275067959240183e-06, "loss": 0.6875, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4188 }, { "epoch": 0.5708639956391387, "grad_norm": 0.26953125, "learning_rate": 9.270322733535864e-06, "loss": 0.7293, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4189 }, { "epoch": 0.5710002725538293, "grad_norm": 0.53125, "learning_rate": 9.26557767300793e-06, "loss": 0.8193, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4190 }, { "epoch": 0.57113654946852, "grad_norm": 0.28125, "learning_rate": 9.260832778730516e-06, "loss": 0.6871, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4191 }, { "epoch": 0.5712728263832106, "grad_norm": 0.3828125, "learning_rate": 9.256088051777723e-06, "loss": 0.7526, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4192 }, { "epoch": 0.5714091032979013, "grad_norm": 0.466796875, "learning_rate": 9.251343493223604e-06, "loss": 0.7677, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4193 }, { "epoch": 0.5715453802125919, "grad_norm": 0.314453125, "learning_rate": 9.246599104142187e-06, "loss": 0.719, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4194 }, { "epoch": 0.5716816571272826, "grad_norm": 0.283203125, "learning_rate": 9.241854885607447e-06, "loss": 0.6404, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4195 }, { "epoch": 0.5718179340419733, "grad_norm": 0.2890625, "learning_rate": 9.23711083869334e-06, "loss": 0.7197, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4196 }, { "epoch": 0.571954210956664, "grad_norm": 0.3203125, "learning_rate": 9.232366964473764e-06, "loss": 0.759, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4197 }, { "epoch": 0.5720904878713546, "grad_norm": 0.51953125, "learning_rate": 9.227623264022585e-06, "loss": 0.8039, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4198 }, { "epoch": 0.5722267647860453, "grad_norm": 0.30078125, "learning_rate": 9.222879738413632e-06, "loss": 0.7104, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4199 }, { "epoch": 0.5723630417007359, "grad_norm": 0.330078125, "learning_rate": 9.218136388720695e-06, "loss": 0.659, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4200 }, { "epoch": 0.5724993186154266, "grad_norm": 0.28125, "learning_rate": 9.213393216017515e-06, "loss": 0.7175, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4201 }, { "epoch": 0.5726355955301172, "grad_norm": 0.2431640625, "learning_rate": 9.208650221377806e-06, "loss": 0.6959, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4202 }, { "epoch": 0.5727718724448079, "grad_norm": 0.328125, "learning_rate": 9.203907405875235e-06, "loss": 0.6965, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4203 }, { "epoch": 0.5729081493594985, "grad_norm": 0.29296875, "learning_rate": 9.199164770583426e-06, "loss": 0.6603, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4204 }, { "epoch": 0.5730444262741892, "grad_norm": 0.27734375, "learning_rate": 9.194422316575968e-06, "loss": 0.7542, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4205 }, { "epoch": 0.5731807031888798, "grad_norm": 0.3984375, "learning_rate": 9.189680044926402e-06, "loss": 0.7502, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4206 }, { "epoch": 0.5733169801035705, "grad_norm": 0.326171875, "learning_rate": 9.184937956708237e-06, "loss": 0.7389, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4207 }, { "epoch": 0.5734532570182611, "grad_norm": 0.326171875, "learning_rate": 9.180196052994933e-06, "loss": 0.6688, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4208 }, { "epoch": 0.5735895339329518, "grad_norm": 0.625, "learning_rate": 9.175454334859906e-06, "loss": 0.6719, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4209 }, { "epoch": 0.5737258108476424, "grad_norm": 0.2353515625, "learning_rate": 9.170712803376542e-06, "loss": 0.6315, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4210 }, { "epoch": 0.573862087762333, "grad_norm": 0.2470703125, "learning_rate": 9.165971459618176e-06, "loss": 0.733, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4211 }, { "epoch": 0.5739983646770237, "grad_norm": 0.26171875, "learning_rate": 9.161230304658092e-06, "loss": 0.6584, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4212 }, { "epoch": 0.5741346415917143, "grad_norm": 0.28125, "learning_rate": 9.156489339569555e-06, "loss": 0.7503, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4213 }, { "epoch": 0.574270918506405, "grad_norm": 0.298828125, "learning_rate": 9.15174856542576e-06, "loss": 0.7153, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4214 }, { "epoch": 0.5744071954210956, "grad_norm": 0.29296875, "learning_rate": 9.147007983299884e-06, "loss": 0.6686, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4215 }, { "epoch": 0.5745434723357863, "grad_norm": 0.30078125, "learning_rate": 9.14226759426504e-06, "loss": 0.7208, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4216 }, { "epoch": 0.5746797492504769, "grad_norm": 0.283203125, "learning_rate": 9.137527399394308e-06, "loss": 0.6274, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4217 }, { "epoch": 0.5748160261651676, "grad_norm": 0.263671875, "learning_rate": 9.132787399760721e-06, "loss": 0.6903, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4218 }, { "epoch": 0.5749523030798582, "grad_norm": 0.30078125, "learning_rate": 9.128047596437272e-06, "loss": 0.7083, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4219 }, { "epoch": 0.5750885799945489, "grad_norm": 0.28125, "learning_rate": 9.123307990496898e-06, "loss": 0.6129, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4220 }, { "epoch": 0.5752248569092395, "grad_norm": 0.302734375, "learning_rate": 9.11856858301251e-06, "loss": 0.6419, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4221 }, { "epoch": 0.5753611338239302, "grad_norm": 0.341796875, "learning_rate": 9.113829375056953e-06, "loss": 0.7911, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4222 }, { "epoch": 0.5754974107386209, "grad_norm": 0.314453125, "learning_rate": 9.109090367703047e-06, "loss": 0.6492, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4223 }, { "epoch": 0.5756336876533116, "grad_norm": 0.3125, "learning_rate": 9.104351562023552e-06, "loss": 0.6683, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4224 }, { "epoch": 0.5757699645680022, "grad_norm": 0.283203125, "learning_rate": 9.099612959091182e-06, "loss": 0.6689, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4225 }, { "epoch": 0.5759062414826929, "grad_norm": 0.33203125, "learning_rate": 9.09487455997862e-06, "loss": 0.7014, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4226 }, { "epoch": 0.5760425183973835, "grad_norm": 0.3125, "learning_rate": 9.090136365758486e-06, "loss": 0.7464, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4227 }, { "epoch": 0.5761787953120742, "grad_norm": 0.275390625, "learning_rate": 9.085398377503363e-06, "loss": 0.6908, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4228 }, { "epoch": 0.5763150722267648, "grad_norm": 0.341796875, "learning_rate": 9.080660596285787e-06, "loss": 0.748, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4229 }, { "epoch": 0.5764513491414555, "grad_norm": 0.33203125, "learning_rate": 9.075923023178244e-06, "loss": 0.6862, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4230 }, { "epoch": 0.5765876260561461, "grad_norm": 0.302734375, "learning_rate": 9.07118565925317e-06, "loss": 0.6667, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4231 }, { "epoch": 0.5767239029708368, "grad_norm": 0.3125, "learning_rate": 9.066448505582966e-06, "loss": 0.7005, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4232 }, { "epoch": 0.5768601798855274, "grad_norm": 0.2734375, "learning_rate": 9.06171156323997e-06, "loss": 0.7019, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4233 }, { "epoch": 0.576996456800218, "grad_norm": 0.271484375, "learning_rate": 9.056974833296484e-06, "loss": 0.6884, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4234 }, { "epoch": 0.5771327337149087, "grad_norm": 0.32421875, "learning_rate": 9.052238316824758e-06, "loss": 0.7158, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4235 }, { "epoch": 0.5772690106295993, "grad_norm": 0.298828125, "learning_rate": 9.047502014896985e-06, "loss": 0.7728, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4236 }, { "epoch": 0.57740528754429, "grad_norm": 0.32421875, "learning_rate": 9.042765928585327e-06, "loss": 0.6755, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4237 }, { "epoch": 0.5775415644589806, "grad_norm": 0.37109375, "learning_rate": 9.038030058961885e-06, "loss": 0.8215, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4238 }, { "epoch": 0.5776778413736713, "grad_norm": 0.32421875, "learning_rate": 9.033294407098706e-06, "loss": 0.7297, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4239 }, { "epoch": 0.5778141182883619, "grad_norm": 0.390625, "learning_rate": 9.028558974067805e-06, "loss": 0.7716, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4240 }, { "epoch": 0.5779503952030526, "grad_norm": 0.34375, "learning_rate": 9.023823760941131e-06, "loss": 0.6979, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4241 }, { "epoch": 0.5780866721177432, "grad_norm": 0.4765625, "learning_rate": 9.019088768790597e-06, "loss": 0.6672, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4242 }, { "epoch": 0.5782229490324339, "grad_norm": 0.271484375, "learning_rate": 9.014353998688053e-06, "loss": 0.6973, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4243 }, { "epoch": 0.5783592259471245, "grad_norm": 0.4375, "learning_rate": 9.009619451705303e-06, "loss": 0.7216, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4244 }, { "epoch": 0.5784955028618152, "grad_norm": 0.2890625, "learning_rate": 9.00488512891411e-06, "loss": 0.727, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4245 }, { "epoch": 0.5786317797765058, "grad_norm": 0.375, "learning_rate": 9.000151031386176e-06, "loss": 0.6921, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4246 }, { "epoch": 0.5787680566911965, "grad_norm": 0.322265625, "learning_rate": 8.995417160193146e-06, "loss": 0.7616, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4247 }, { "epoch": 0.5789043336058871, "grad_norm": 0.427734375, "learning_rate": 8.990683516406633e-06, "loss": 0.8345, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4248 }, { "epoch": 0.5790406105205778, "grad_norm": 0.388671875, "learning_rate": 8.985950101098185e-06, "loss": 0.7271, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4249 }, { "epoch": 0.5791768874352685, "grad_norm": 0.28125, "learning_rate": 8.981216915339292e-06, "loss": 0.7254, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4250 }, { "epoch": 0.5793131643499592, "grad_norm": 0.27734375, "learning_rate": 8.976483960201414e-06, "loss": 0.7417, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4251 }, { "epoch": 0.5794494412646498, "grad_norm": 0.330078125, "learning_rate": 8.971751236755936e-06, "loss": 0.7059, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4252 }, { "epoch": 0.5795857181793405, "grad_norm": 0.267578125, "learning_rate": 8.96701874607421e-06, "loss": 0.6885, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4253 }, { "epoch": 0.5797219950940311, "grad_norm": 0.306640625, "learning_rate": 8.962286489227515e-06, "loss": 0.7587, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4254 }, { "epoch": 0.5798582720087218, "grad_norm": 0.259765625, "learning_rate": 8.957554467287092e-06, "loss": 0.6547, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4255 }, { "epoch": 0.5799945489234124, "grad_norm": 0.265625, "learning_rate": 8.952822681324128e-06, "loss": 0.6052, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4256 }, { "epoch": 0.580130825838103, "grad_norm": 0.376953125, "learning_rate": 8.948091132409753e-06, "loss": 0.6688, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4257 }, { "epoch": 0.5802671027527937, "grad_norm": 0.283203125, "learning_rate": 8.943359821615034e-06, "loss": 0.7143, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4258 }, { "epoch": 0.5804033796674843, "grad_norm": 0.275390625, "learning_rate": 8.938628750011004e-06, "loss": 0.7134, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4259 }, { "epoch": 0.580539656582175, "grad_norm": 0.33984375, "learning_rate": 8.93389791866863e-06, "loss": 0.7262, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4260 }, { "epoch": 0.5806759334968656, "grad_norm": 0.294921875, "learning_rate": 8.92916732865882e-06, "loss": 0.7661, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4261 }, { "epoch": 0.5808122104115563, "grad_norm": 0.2578125, "learning_rate": 8.92443698105244e-06, "loss": 0.6792, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4262 }, { "epoch": 0.5809484873262469, "grad_norm": 0.474609375, "learning_rate": 8.919706876920288e-06, "loss": 0.6909, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4263 }, { "epoch": 0.5810847642409376, "grad_norm": 0.498046875, "learning_rate": 8.91497701733312e-06, "loss": 0.8146, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4264 }, { "epoch": 0.5812210411556282, "grad_norm": 0.357421875, "learning_rate": 8.91024740336163e-06, "loss": 0.7771, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4265 }, { "epoch": 0.5813573180703189, "grad_norm": 0.42578125, "learning_rate": 8.905518036076447e-06, "loss": 0.7585, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4266 }, { "epoch": 0.5814935949850095, "grad_norm": 0.314453125, "learning_rate": 8.900788916548164e-06, "loss": 0.7237, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4267 }, { "epoch": 0.5816298718997002, "grad_norm": 0.349609375, "learning_rate": 8.896060045847305e-06, "loss": 0.7476, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4268 }, { "epoch": 0.5817661488143908, "grad_norm": 0.365234375, "learning_rate": 8.891331425044335e-06, "loss": 0.7567, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4269 }, { "epoch": 0.5819024257290815, "grad_norm": 0.376953125, "learning_rate": 8.886603055209676e-06, "loss": 0.6736, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4270 }, { "epoch": 0.5820387026437721, "grad_norm": 0.404296875, "learning_rate": 8.881874937413674e-06, "loss": 0.6788, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4271 }, { "epoch": 0.5821749795584628, "grad_norm": 0.32421875, "learning_rate": 8.877147072726642e-06, "loss": 0.6951, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4272 }, { "epoch": 0.5823112564731534, "grad_norm": 0.30859375, "learning_rate": 8.872419462218817e-06, "loss": 0.6709, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4273 }, { "epoch": 0.582447533387844, "grad_norm": 0.3515625, "learning_rate": 8.867692106960374e-06, "loss": 0.7155, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4274 }, { "epoch": 0.5825838103025347, "grad_norm": 0.271484375, "learning_rate": 8.862965008021457e-06, "loss": 0.6882, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4275 }, { "epoch": 0.5827200872172253, "grad_norm": 0.51171875, "learning_rate": 8.858238166472125e-06, "loss": 0.7539, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4276 }, { "epoch": 0.5828563641319161, "grad_norm": 0.3203125, "learning_rate": 8.853511583382386e-06, "loss": 0.6679, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4277 }, { "epoch": 0.5829926410466068, "grad_norm": 0.3046875, "learning_rate": 8.848785259822203e-06, "loss": 0.6508, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4278 }, { "epoch": 0.5831289179612974, "grad_norm": 0.28125, "learning_rate": 8.844059196861462e-06, "loss": 0.6714, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4279 }, { "epoch": 0.583265194875988, "grad_norm": 0.2392578125, "learning_rate": 8.839333395569998e-06, "loss": 0.6685, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4280 }, { "epoch": 0.5834014717906787, "grad_norm": 0.423828125, "learning_rate": 8.834607857017588e-06, "loss": 0.7661, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4281 }, { "epoch": 0.5835377487053693, "grad_norm": 0.349609375, "learning_rate": 8.829882582273947e-06, "loss": 0.7247, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4282 }, { "epoch": 0.58367402562006, "grad_norm": 0.29296875, "learning_rate": 8.825157572408732e-06, "loss": 0.6996, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4283 }, { "epoch": 0.5838103025347506, "grad_norm": 0.310546875, "learning_rate": 8.820432828491542e-06, "loss": 0.7375, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4284 }, { "epoch": 0.5839465794494413, "grad_norm": 0.314453125, "learning_rate": 8.815708351591905e-06, "loss": 0.6565, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4285 }, { "epoch": 0.5840828563641319, "grad_norm": 0.31640625, "learning_rate": 8.810984142779306e-06, "loss": 0.6934, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4286 }, { "epoch": 0.5842191332788226, "grad_norm": 0.373046875, "learning_rate": 8.806260203123157e-06, "loss": 0.7388, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4287 }, { "epoch": 0.5843554101935132, "grad_norm": 0.337890625, "learning_rate": 8.801536533692804e-06, "loss": 0.7418, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4288 }, { "epoch": 0.5844916871082039, "grad_norm": 0.298828125, "learning_rate": 8.796813135557553e-06, "loss": 0.7437, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4289 }, { "epoch": 0.5846279640228945, "grad_norm": 0.234375, "learning_rate": 8.792090009786623e-06, "loss": 0.6558, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4290 }, { "epoch": 0.5847642409375852, "grad_norm": 0.296875, "learning_rate": 8.787367157449193e-06, "loss": 0.6564, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4291 }, { "epoch": 0.5849005178522758, "grad_norm": 0.32421875, "learning_rate": 8.782644579614366e-06, "loss": 0.6748, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4292 }, { "epoch": 0.5850367947669665, "grad_norm": 0.275390625, "learning_rate": 8.777922277351189e-06, "loss": 0.6451, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4293 }, { "epoch": 0.5851730716816571, "grad_norm": 0.263671875, "learning_rate": 8.773200251728643e-06, "loss": 0.7064, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4294 }, { "epoch": 0.5853093485963478, "grad_norm": 0.41796875, "learning_rate": 8.768478503815657e-06, "loss": 0.6849, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4295 }, { "epoch": 0.5854456255110384, "grad_norm": 0.291015625, "learning_rate": 8.763757034681076e-06, "loss": 0.7438, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4296 }, { "epoch": 0.585581902425729, "grad_norm": 0.26171875, "learning_rate": 8.759035845393706e-06, "loss": 0.669, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4297 }, { "epoch": 0.5857181793404197, "grad_norm": 0.494140625, "learning_rate": 8.754314937022273e-06, "loss": 0.7185, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4298 }, { "epoch": 0.5858544562551103, "grad_norm": 0.361328125, "learning_rate": 8.749594310635442e-06, "loss": 0.6396, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4299 }, { "epoch": 0.585990733169801, "grad_norm": 0.30078125, "learning_rate": 8.744873967301825e-06, "loss": 0.6905, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4300 }, { "epoch": 0.5861270100844916, "grad_norm": 0.396484375, "learning_rate": 8.740153908089955e-06, "loss": 0.7153, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4301 }, { "epoch": 0.5862632869991823, "grad_norm": 0.29296875, "learning_rate": 8.735434134068313e-06, "loss": 0.729, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4302 }, { "epoch": 0.586399563913873, "grad_norm": 0.3203125, "learning_rate": 8.730714646305305e-06, "loss": 0.7156, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4303 }, { "epoch": 0.5865358408285637, "grad_norm": 0.267578125, "learning_rate": 8.725995445869277e-06, "loss": 0.6064, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4304 }, { "epoch": 0.5866721177432543, "grad_norm": 0.330078125, "learning_rate": 8.721276533828515e-06, "loss": 0.6356, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4305 }, { "epoch": 0.586808394657945, "grad_norm": 0.56640625, "learning_rate": 8.71655791125123e-06, "loss": 0.9085, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4306 }, { "epoch": 0.5869446715726356, "grad_norm": 0.294921875, "learning_rate": 8.711839579205576e-06, "loss": 0.722, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4307 }, { "epoch": 0.5870809484873263, "grad_norm": 0.375, "learning_rate": 8.707121538759637e-06, "loss": 0.8107, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4308 }, { "epoch": 0.5872172254020169, "grad_norm": 0.34765625, "learning_rate": 8.702403790981431e-06, "loss": 0.7927, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4309 }, { "epoch": 0.5873535023167076, "grad_norm": 0.62109375, "learning_rate": 8.697686336938905e-06, "loss": 0.807, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4310 }, { "epoch": 0.5874897792313982, "grad_norm": 0.333984375, "learning_rate": 8.692969177699957e-06, "loss": 0.7068, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4311 }, { "epoch": 0.5876260561460889, "grad_norm": 0.3203125, "learning_rate": 8.688252314332392e-06, "loss": 0.7479, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4312 }, { "epoch": 0.5877623330607795, "grad_norm": 0.287109375, "learning_rate": 8.683535747903973e-06, "loss": 0.6916, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4313 }, { "epoch": 0.5878986099754702, "grad_norm": 0.291015625, "learning_rate": 8.678819479482383e-06, "loss": 0.6807, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4314 }, { "epoch": 0.5880348868901608, "grad_norm": 0.4921875, "learning_rate": 8.67410351013523e-06, "loss": 0.679, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4315 }, { "epoch": 0.5881711638048515, "grad_norm": 0.32421875, "learning_rate": 8.669387840930078e-06, "loss": 0.7422, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4316 }, { "epoch": 0.5883074407195421, "grad_norm": 0.341796875, "learning_rate": 8.664672472934399e-06, "loss": 0.7396, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4317 }, { "epoch": 0.5884437176342328, "grad_norm": 0.376953125, "learning_rate": 8.659957407215608e-06, "loss": 0.7166, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4318 }, { "epoch": 0.5885799945489234, "grad_norm": 0.416015625, "learning_rate": 8.655242644841054e-06, "loss": 0.8046, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4319 }, { "epoch": 0.588716271463614, "grad_norm": 0.49609375, "learning_rate": 8.65052818687801e-06, "loss": 0.7894, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4320 }, { "epoch": 0.5888525483783047, "grad_norm": 0.2421875, "learning_rate": 8.645814034393684e-06, "loss": 0.675, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4321 }, { "epoch": 0.5889888252929953, "grad_norm": 0.326171875, "learning_rate": 8.64110018845522e-06, "loss": 0.6933, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4322 }, { "epoch": 0.589125102207686, "grad_norm": 0.37109375, "learning_rate": 8.636386650129675e-06, "loss": 0.7785, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4323 }, { "epoch": 0.5892613791223766, "grad_norm": 0.490234375, "learning_rate": 8.631673420484062e-06, "loss": 0.7457, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4324 }, { "epoch": 0.5893976560370673, "grad_norm": 0.3125, "learning_rate": 8.626960500585302e-06, "loss": 0.757, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4325 }, { "epoch": 0.5895339329517579, "grad_norm": 0.3046875, "learning_rate": 8.622247891500255e-06, "loss": 0.6708, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4326 }, { "epoch": 0.5896702098664486, "grad_norm": 0.263671875, "learning_rate": 8.617535594295715e-06, "loss": 0.6206, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4327 }, { "epoch": 0.5898064867811392, "grad_norm": 0.3828125, "learning_rate": 8.612823610038395e-06, "loss": 0.7254, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4328 }, { "epoch": 0.5899427636958299, "grad_norm": 0.34765625, "learning_rate": 8.608111939794944e-06, "loss": 0.6721, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4329 }, { "epoch": 0.5900790406105206, "grad_norm": 0.310546875, "learning_rate": 8.60340058463194e-06, "loss": 0.7463, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4330 }, { "epoch": 0.5902153175252113, "grad_norm": 0.3046875, "learning_rate": 8.598689545615886e-06, "loss": 0.6543, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4331 }, { "epoch": 0.5903515944399019, "grad_norm": 0.2890625, "learning_rate": 8.593978823813219e-06, "loss": 0.693, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4332 }, { "epoch": 0.5904878713545926, "grad_norm": 0.337890625, "learning_rate": 8.589268420290301e-06, "loss": 0.6512, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4333 }, { "epoch": 0.5906241482692832, "grad_norm": 0.37109375, "learning_rate": 8.584558336113415e-06, "loss": 0.7035, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4334 }, { "epoch": 0.5907604251839739, "grad_norm": 0.361328125, "learning_rate": 8.579848572348789e-06, "loss": 0.6703, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4335 }, { "epoch": 0.5908967020986645, "grad_norm": 0.314453125, "learning_rate": 8.575139130062562e-06, "loss": 0.6821, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4336 }, { "epoch": 0.5910329790133552, "grad_norm": 0.31640625, "learning_rate": 8.570430010320802e-06, "loss": 0.7469, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4337 }, { "epoch": 0.5911692559280458, "grad_norm": 0.384765625, "learning_rate": 8.565721214189517e-06, "loss": 0.6095, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4338 }, { "epoch": 0.5913055328427365, "grad_norm": 0.30859375, "learning_rate": 8.561012742734624e-06, "loss": 0.6934, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4339 }, { "epoch": 0.5914418097574271, "grad_norm": 0.263671875, "learning_rate": 8.556304597021985e-06, "loss": 0.7172, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4340 }, { "epoch": 0.5915780866721178, "grad_norm": 0.43359375, "learning_rate": 8.551596778117375e-06, "loss": 0.7373, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4341 }, { "epoch": 0.5917143635868084, "grad_norm": 0.30859375, "learning_rate": 8.546889287086492e-06, "loss": 0.7358, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4342 }, { "epoch": 0.591850640501499, "grad_norm": 0.375, "learning_rate": 8.542182124994977e-06, "loss": 0.6978, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4343 }, { "epoch": 0.5919869174161897, "grad_norm": 0.267578125, "learning_rate": 8.537475292908378e-06, "loss": 0.6889, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4344 }, { "epoch": 0.5921231943308803, "grad_norm": 0.373046875, "learning_rate": 8.532768791892181e-06, "loss": 0.7258, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4345 }, { "epoch": 0.592259471245571, "grad_norm": 0.341796875, "learning_rate": 8.528062623011791e-06, "loss": 0.7895, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4346 }, { "epoch": 0.5923957481602616, "grad_norm": 0.26953125, "learning_rate": 8.523356787332539e-06, "loss": 0.6718, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4347 }, { "epoch": 0.5925320250749523, "grad_norm": 0.26171875, "learning_rate": 8.518651285919678e-06, "loss": 0.6505, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4348 }, { "epoch": 0.5926683019896429, "grad_norm": 0.275390625, "learning_rate": 8.513946119838395e-06, "loss": 0.6617, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4349 }, { "epoch": 0.5928045789043336, "grad_norm": 0.365234375, "learning_rate": 8.509241290153788e-06, "loss": 0.7784, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4350 }, { "epoch": 0.5929408558190242, "grad_norm": 0.279296875, "learning_rate": 8.50453679793089e-06, "loss": 0.689, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4351 }, { "epoch": 0.5930771327337149, "grad_norm": 0.28515625, "learning_rate": 8.499832644234649e-06, "loss": 0.6983, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4352 }, { "epoch": 0.5932134096484055, "grad_norm": 0.54296875, "learning_rate": 8.495128830129937e-06, "loss": 0.7308, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4353 }, { "epoch": 0.5933496865630962, "grad_norm": 0.353515625, "learning_rate": 8.49042535668156e-06, "loss": 0.7069, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4354 }, { "epoch": 0.5934859634777868, "grad_norm": 0.31640625, "learning_rate": 8.485722224954237e-06, "loss": 0.7336, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4355 }, { "epoch": 0.5936222403924775, "grad_norm": 0.37109375, "learning_rate": 8.481019436012606e-06, "loss": 0.7042, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4356 }, { "epoch": 0.5937585173071682, "grad_norm": 0.30859375, "learning_rate": 8.476316990921237e-06, "loss": 0.6555, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4357 }, { "epoch": 0.5938947942218589, "grad_norm": 0.734375, "learning_rate": 8.47161489074462e-06, "loss": 0.8033, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4358 }, { "epoch": 0.5940310711365495, "grad_norm": 0.302734375, "learning_rate": 8.466913136547162e-06, "loss": 0.7623, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4359 }, { "epoch": 0.5941673480512402, "grad_norm": 0.3828125, "learning_rate": 8.462211729393198e-06, "loss": 0.7333, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4360 }, { "epoch": 0.5943036249659308, "grad_norm": 0.46875, "learning_rate": 8.457510670346976e-06, "loss": 0.8213, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4361 }, { "epoch": 0.5944399018806215, "grad_norm": 0.296875, "learning_rate": 8.45280996047268e-06, "loss": 0.6852, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4362 }, { "epoch": 0.5945761787953121, "grad_norm": 0.353515625, "learning_rate": 8.448109600834396e-06, "loss": 0.7799, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4363 }, { "epoch": 0.5947124557100028, "grad_norm": 0.37109375, "learning_rate": 8.443409592496142e-06, "loss": 0.6859, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4364 }, { "epoch": 0.5948487326246934, "grad_norm": 0.458984375, "learning_rate": 8.43870993652186e-06, "loss": 0.7902, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4365 }, { "epoch": 0.594985009539384, "grad_norm": 0.30078125, "learning_rate": 8.434010633975404e-06, "loss": 0.7218, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4366 }, { "epoch": 0.5951212864540747, "grad_norm": 0.283203125, "learning_rate": 8.429311685920544e-06, "loss": 0.6362, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4367 }, { "epoch": 0.5952575633687653, "grad_norm": 0.287109375, "learning_rate": 8.42461309342099e-06, "loss": 0.7393, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4368 }, { "epoch": 0.595393840283456, "grad_norm": 0.2421875, "learning_rate": 8.419914857540344e-06, "loss": 0.7368, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4369 }, { "epoch": 0.5955301171981466, "grad_norm": 0.310546875, "learning_rate": 8.415216979342154e-06, "loss": 0.672, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4370 }, { "epoch": 0.5956663941128373, "grad_norm": 0.390625, "learning_rate": 8.410519459889866e-06, "loss": 0.6977, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4371 }, { "epoch": 0.5958026710275279, "grad_norm": 0.287109375, "learning_rate": 8.405822300246858e-06, "loss": 0.6541, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4372 }, { "epoch": 0.5959389479422186, "grad_norm": 0.326171875, "learning_rate": 8.401125501476417e-06, "loss": 0.7338, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4373 }, { "epoch": 0.5960752248569092, "grad_norm": 0.3046875, "learning_rate": 8.39642906464176e-06, "loss": 0.7353, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4374 }, { "epoch": 0.5962115017715999, "grad_norm": 0.36328125, "learning_rate": 8.391732990806004e-06, "loss": 0.823, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4375 }, { "epoch": 0.5963477786862905, "grad_norm": 0.283203125, "learning_rate": 8.38703728103221e-06, "loss": 0.7255, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4376 }, { "epoch": 0.5964840556009812, "grad_norm": 0.326171875, "learning_rate": 8.382341936383334e-06, "loss": 0.7209, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4377 }, { "epoch": 0.5966203325156718, "grad_norm": 0.294921875, "learning_rate": 8.37764695792225e-06, "loss": 0.6706, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4378 }, { "epoch": 0.5967566094303625, "grad_norm": 0.294921875, "learning_rate": 8.372952346711768e-06, "loss": 0.7525, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4379 }, { "epoch": 0.5968928863450531, "grad_norm": 0.46875, "learning_rate": 8.368258103814593e-06, "loss": 0.7666, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4380 }, { "epoch": 0.5970291632597438, "grad_norm": 0.26171875, "learning_rate": 8.363564230293365e-06, "loss": 0.7045, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4381 }, { "epoch": 0.5971654401744344, "grad_norm": 0.32421875, "learning_rate": 8.358870727210627e-06, "loss": 0.6921, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4382 }, { "epoch": 0.597301717089125, "grad_norm": 0.26953125, "learning_rate": 8.354177595628845e-06, "loss": 0.711, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4383 }, { "epoch": 0.5974379940038158, "grad_norm": 0.255859375, "learning_rate": 8.349484836610395e-06, "loss": 0.6577, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4384 }, { "epoch": 0.5975742709185065, "grad_norm": 0.35546875, "learning_rate": 8.34479245121758e-06, "loss": 0.781, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4385 }, { "epoch": 0.5977105478331971, "grad_norm": 0.27734375, "learning_rate": 8.340100440512601e-06, "loss": 0.7373, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4386 }, { "epoch": 0.5978468247478878, "grad_norm": 0.34375, "learning_rate": 8.335408805557596e-06, "loss": 0.6414, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4387 }, { "epoch": 0.5979831016625784, "grad_norm": 0.271484375, "learning_rate": 8.330717547414596e-06, "loss": 0.6803, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4388 }, { "epoch": 0.598119378577269, "grad_norm": 0.453125, "learning_rate": 8.326026667145566e-06, "loss": 0.7274, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4389 }, { "epoch": 0.5982556554919597, "grad_norm": 0.341796875, "learning_rate": 8.32133616581237e-06, "loss": 0.7121, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4390 }, { "epoch": 0.5983919324066503, "grad_norm": 0.23828125, "learning_rate": 8.31664604447679e-06, "loss": 0.6764, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4391 }, { "epoch": 0.598528209321341, "grad_norm": 0.365234375, "learning_rate": 8.311956304200532e-06, "loss": 0.6892, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4392 }, { "epoch": 0.5986644862360316, "grad_norm": 0.328125, "learning_rate": 8.307266946045206e-06, "loss": 0.7306, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4393 }, { "epoch": 0.5988007631507223, "grad_norm": 0.265625, "learning_rate": 8.302577971072333e-06, "loss": 0.688, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4394 }, { "epoch": 0.5989370400654129, "grad_norm": 0.359375, "learning_rate": 8.297889380343359e-06, "loss": 0.771, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4395 }, { "epoch": 0.5990733169801036, "grad_norm": 0.2421875, "learning_rate": 8.29320117491963e-06, "loss": 0.6669, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4396 }, { "epoch": 0.5992095938947942, "grad_norm": 0.30078125, "learning_rate": 8.288513355862413e-06, "loss": 0.672, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4397 }, { "epoch": 0.5993458708094849, "grad_norm": 0.34375, "learning_rate": 8.283825924232889e-06, "loss": 0.7201, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4398 }, { "epoch": 0.5994821477241755, "grad_norm": 0.33203125, "learning_rate": 8.279138881092141e-06, "loss": 0.693, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4399 }, { "epoch": 0.5996184246388662, "grad_norm": 0.3828125, "learning_rate": 8.274452227501178e-06, "loss": 0.79, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4400 }, { "epoch": 0.5997547015535568, "grad_norm": 0.294921875, "learning_rate": 8.269765964520909e-06, "loss": 0.676, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4401 }, { "epoch": 0.5998909784682475, "grad_norm": 0.314453125, "learning_rate": 8.265080093212158e-06, "loss": 0.7116, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4402 }, { "epoch": 0.6000272553829381, "grad_norm": 0.330078125, "learning_rate": 8.260394614635667e-06, "loss": 0.6682, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4403 }, { "epoch": 0.6001635322976288, "grad_norm": 0.380859375, "learning_rate": 8.255709529852078e-06, "loss": 0.6922, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4404 }, { "epoch": 0.6002998092123194, "grad_norm": 0.314453125, "learning_rate": 8.25102483992195e-06, "loss": 0.7027, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4405 }, { "epoch": 0.60043608612701, "grad_norm": 0.42578125, "learning_rate": 8.246340545905757e-06, "loss": 0.6674, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4406 }, { "epoch": 0.6005723630417007, "grad_norm": 0.5546875, "learning_rate": 8.24165664886387e-06, "loss": 0.7957, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4407 }, { "epoch": 0.6007086399563913, "grad_norm": 0.478515625, "learning_rate": 8.236973149856588e-06, "loss": 0.6998, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4408 }, { "epoch": 0.600844916871082, "grad_norm": 1.09375, "learning_rate": 8.232290049944104e-06, "loss": 0.7389, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4409 }, { "epoch": 0.6009811937857726, "grad_norm": 0.328125, "learning_rate": 8.227607350186529e-06, "loss": 0.7046, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4410 }, { "epoch": 0.6011174707004634, "grad_norm": 0.41015625, "learning_rate": 8.22292505164388e-06, "loss": 0.7146, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4411 }, { "epoch": 0.601253747615154, "grad_norm": 0.263671875, "learning_rate": 8.218243155376091e-06, "loss": 0.7061, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4412 }, { "epoch": 0.6013900245298447, "grad_norm": 0.33984375, "learning_rate": 8.213561662442988e-06, "loss": 0.6841, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4413 }, { "epoch": 0.6015263014445353, "grad_norm": 0.306640625, "learning_rate": 8.208880573904328e-06, "loss": 0.7513, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4414 }, { "epoch": 0.601662578359226, "grad_norm": 0.369140625, "learning_rate": 8.204199890819757e-06, "loss": 0.7413, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4415 }, { "epoch": 0.6017988552739166, "grad_norm": 0.3125, "learning_rate": 8.199519614248836e-06, "loss": 0.7065, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4416 }, { "epoch": 0.6019351321886073, "grad_norm": 0.255859375, "learning_rate": 8.194839745251042e-06, "loss": 0.6847, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4417 }, { "epoch": 0.6020714091032979, "grad_norm": 0.3203125, "learning_rate": 8.190160284885746e-06, "loss": 0.727, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4418 }, { "epoch": 0.6022076860179886, "grad_norm": 0.265625, "learning_rate": 8.185481234212238e-06, "loss": 0.719, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4419 }, { "epoch": 0.6023439629326792, "grad_norm": 0.408203125, "learning_rate": 8.18080259428971e-06, "loss": 0.7634, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4420 }, { "epoch": 0.6024802398473699, "grad_norm": 0.296875, "learning_rate": 8.176124366177254e-06, "loss": 0.6629, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4421 }, { "epoch": 0.6026165167620605, "grad_norm": 0.26953125, "learning_rate": 8.171446550933885e-06, "loss": 0.7167, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4422 }, { "epoch": 0.6027527936767512, "grad_norm": 0.30078125, "learning_rate": 8.166769149618517e-06, "loss": 0.7175, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4423 }, { "epoch": 0.6028890705914418, "grad_norm": 0.359375, "learning_rate": 8.16209216328996e-06, "loss": 0.6681, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4424 }, { "epoch": 0.6030253475061325, "grad_norm": 0.314453125, "learning_rate": 8.157415593006948e-06, "loss": 0.6612, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4425 }, { "epoch": 0.6031616244208231, "grad_norm": 0.2392578125, "learning_rate": 8.15273943982811e-06, "loss": 0.7182, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4426 }, { "epoch": 0.6032979013355138, "grad_norm": 0.28125, "learning_rate": 8.148063704811975e-06, "loss": 0.6803, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4427 }, { "epoch": 0.6034341782502044, "grad_norm": 0.34765625, "learning_rate": 8.143388389016996e-06, "loss": 0.7528, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4428 }, { "epoch": 0.603570455164895, "grad_norm": 0.4921875, "learning_rate": 8.138713493501512e-06, "loss": 0.8286, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4429 }, { "epoch": 0.6037067320795857, "grad_norm": 1.0859375, "learning_rate": 8.13403901932378e-06, "loss": 0.7183, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4430 }, { "epoch": 0.6038430089942763, "grad_norm": 0.28515625, "learning_rate": 8.129364967541955e-06, "loss": 0.6962, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4431 }, { "epoch": 0.603979285908967, "grad_norm": 0.310546875, "learning_rate": 8.124691339214092e-06, "loss": 0.7437, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4432 }, { "epoch": 0.6041155628236576, "grad_norm": 0.330078125, "learning_rate": 8.120018135398167e-06, "loss": 0.8108, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4433 }, { "epoch": 0.6042518397383483, "grad_norm": 0.28515625, "learning_rate": 8.11534535715204e-06, "loss": 0.6528, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4434 }, { "epoch": 0.6043881166530389, "grad_norm": 0.263671875, "learning_rate": 8.110673005533488e-06, "loss": 0.7032, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4435 }, { "epoch": 0.6045243935677296, "grad_norm": 0.32421875, "learning_rate": 8.106001081600186e-06, "loss": 0.7636, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4436 }, { "epoch": 0.6046606704824202, "grad_norm": 0.2470703125, "learning_rate": 8.101329586409713e-06, "loss": 0.6816, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4437 }, { "epoch": 0.604796947397111, "grad_norm": 0.5390625, "learning_rate": 8.09665852101955e-06, "loss": 0.7077, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4438 }, { "epoch": 0.6049332243118016, "grad_norm": 0.34375, "learning_rate": 8.091987886487086e-06, "loss": 0.7184, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4439 }, { "epoch": 0.6050695012264923, "grad_norm": 0.333984375, "learning_rate": 8.0873176838696e-06, "loss": 0.6986, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4440 }, { "epoch": 0.6052057781411829, "grad_norm": 0.341796875, "learning_rate": 8.082647914224291e-06, "loss": 0.7433, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4441 }, { "epoch": 0.6053420550558736, "grad_norm": 0.279296875, "learning_rate": 8.077978578608248e-06, "loss": 0.6898, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4442 }, { "epoch": 0.6054783319705642, "grad_norm": 0.33203125, "learning_rate": 8.073309678078457e-06, "loss": 0.7674, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4443 }, { "epoch": 0.6056146088852549, "grad_norm": 0.298828125, "learning_rate": 8.068641213691826e-06, "loss": 0.7046, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4444 }, { "epoch": 0.6057508857999455, "grad_norm": 0.32421875, "learning_rate": 8.06397318650514e-06, "loss": 0.7911, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4445 }, { "epoch": 0.6058871627146362, "grad_norm": 0.396484375, "learning_rate": 8.059305597575098e-06, "loss": 0.723, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4446 }, { "epoch": 0.6060234396293268, "grad_norm": 0.27734375, "learning_rate": 8.0546384479583e-06, "loss": 0.742, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4447 }, { "epoch": 0.6061597165440175, "grad_norm": 0.3671875, "learning_rate": 8.049971738711247e-06, "loss": 0.7474, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4448 }, { "epoch": 0.6062959934587081, "grad_norm": 0.373046875, "learning_rate": 8.045305470890333e-06, "loss": 0.7507, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4449 }, { "epoch": 0.6064322703733988, "grad_norm": 0.27734375, "learning_rate": 8.04063964555186e-06, "loss": 0.7092, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4450 }, { "epoch": 0.6065685472880894, "grad_norm": 0.29296875, "learning_rate": 8.035974263752022e-06, "loss": 0.7308, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4451 }, { "epoch": 0.60670482420278, "grad_norm": 0.26171875, "learning_rate": 8.031309326546926e-06, "loss": 0.7227, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4452 }, { "epoch": 0.6068411011174707, "grad_norm": 0.349609375, "learning_rate": 8.026644834992563e-06, "loss": 0.7509, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4453 }, { "epoch": 0.6069773780321613, "grad_norm": 0.265625, "learning_rate": 8.021980790144828e-06, "loss": 0.6252, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4454 }, { "epoch": 0.607113654946852, "grad_norm": 0.34375, "learning_rate": 8.017317193059524e-06, "loss": 0.729, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4455 }, { "epoch": 0.6072499318615426, "grad_norm": 0.341796875, "learning_rate": 8.01265404479234e-06, "loss": 0.7972, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4456 }, { "epoch": 0.6073862087762333, "grad_norm": 0.2490234375, "learning_rate": 8.007991346398866e-06, "loss": 0.7174, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4457 }, { "epoch": 0.6075224856909239, "grad_norm": 0.380859375, "learning_rate": 8.0033290989346e-06, "loss": 0.7188, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4458 }, { "epoch": 0.6076587626056146, "grad_norm": 0.2734375, "learning_rate": 7.998667303454923e-06, "loss": 0.7534, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4459 }, { "epoch": 0.6077950395203052, "grad_norm": 0.33203125, "learning_rate": 7.99400596101513e-06, "loss": 0.6704, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4460 }, { "epoch": 0.6079313164349959, "grad_norm": 0.341796875, "learning_rate": 7.9893450726704e-06, "loss": 0.7471, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4461 }, { "epoch": 0.6080675933496865, "grad_norm": 0.279296875, "learning_rate": 7.984684639475812e-06, "loss": 0.7642, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4462 }, { "epoch": 0.6082038702643772, "grad_norm": 0.291015625, "learning_rate": 7.98002466248635e-06, "loss": 0.6806, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4463 }, { "epoch": 0.6083401471790678, "grad_norm": 0.2431640625, "learning_rate": 7.975365142756887e-06, "loss": 0.7056, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4464 }, { "epoch": 0.6084764240937586, "grad_norm": 0.287109375, "learning_rate": 7.970706081342188e-06, "loss": 0.6645, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4465 }, { "epoch": 0.6086127010084492, "grad_norm": 0.3046875, "learning_rate": 7.96604747929693e-06, "loss": 0.6912, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4466 }, { "epoch": 0.6087489779231399, "grad_norm": 0.26953125, "learning_rate": 7.961389337675667e-06, "loss": 0.7666, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4467 }, { "epoch": 0.6088852548378305, "grad_norm": 0.31640625, "learning_rate": 7.956731657532867e-06, "loss": 0.7213, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4468 }, { "epoch": 0.6090215317525212, "grad_norm": 0.384765625, "learning_rate": 7.952074439922882e-06, "loss": 0.7519, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4469 }, { "epoch": 0.6091578086672118, "grad_norm": 0.447265625, "learning_rate": 7.947417685899958e-06, "loss": 0.6453, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4470 }, { "epoch": 0.6092940855819025, "grad_norm": 0.251953125, "learning_rate": 7.942761396518247e-06, "loss": 0.6304, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4471 }, { "epoch": 0.6094303624965931, "grad_norm": 0.294921875, "learning_rate": 7.938105572831782e-06, "loss": 0.7913, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4472 }, { "epoch": 0.6095666394112838, "grad_norm": 0.455078125, "learning_rate": 7.933450215894501e-06, "loss": 0.6926, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4473 }, { "epoch": 0.6097029163259744, "grad_norm": 0.27734375, "learning_rate": 7.928795326760235e-06, "loss": 0.7922, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4474 }, { "epoch": 0.609839193240665, "grad_norm": 0.408203125, "learning_rate": 7.924140906482707e-06, "loss": 0.686, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4475 }, { "epoch": 0.6099754701553557, "grad_norm": 0.2216796875, "learning_rate": 7.919486956115527e-06, "loss": 0.5998, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4476 }, { "epoch": 0.6101117470700463, "grad_norm": 0.298828125, "learning_rate": 7.914833476712214e-06, "loss": 0.7026, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4477 }, { "epoch": 0.610248023984737, "grad_norm": 0.341796875, "learning_rate": 7.910180469326166e-06, "loss": 0.7048, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4478 }, { "epoch": 0.6103843008994276, "grad_norm": 0.46484375, "learning_rate": 7.905527935010686e-06, "loss": 0.7639, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4479 }, { "epoch": 0.6105205778141183, "grad_norm": 0.2431640625, "learning_rate": 7.900875874818961e-06, "loss": 0.6799, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4480 }, { "epoch": 0.6106568547288089, "grad_norm": 0.34765625, "learning_rate": 7.896224289804069e-06, "loss": 0.648, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4481 }, { "epoch": 0.6107931316434996, "grad_norm": 0.37890625, "learning_rate": 7.891573181018995e-06, "loss": 0.7468, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4482 }, { "epoch": 0.6109294085581902, "grad_norm": 0.32421875, "learning_rate": 7.8869225495166e-06, "loss": 0.7897, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4483 }, { "epoch": 0.6110656854728809, "grad_norm": 0.46875, "learning_rate": 7.882272396349638e-06, "loss": 0.8308, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4484 }, { "epoch": 0.6112019623875715, "grad_norm": 0.408203125, "learning_rate": 7.877622722570772e-06, "loss": 0.7273, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4485 }, { "epoch": 0.6113382393022622, "grad_norm": 0.330078125, "learning_rate": 7.872973529232533e-06, "loss": 0.7916, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4486 }, { "epoch": 0.6114745162169528, "grad_norm": 0.28515625, "learning_rate": 7.868324817387363e-06, "loss": 0.7764, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4487 }, { "epoch": 0.6116107931316435, "grad_norm": 0.330078125, "learning_rate": 7.863676588087586e-06, "loss": 0.6847, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4488 }, { "epoch": 0.6117470700463341, "grad_norm": 0.431640625, "learning_rate": 7.859028842385412e-06, "loss": 0.856, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4489 }, { "epoch": 0.6118833469610248, "grad_norm": 0.337890625, "learning_rate": 7.854381581332952e-06, "loss": 0.7085, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4490 }, { "epoch": 0.6120196238757154, "grad_norm": 0.349609375, "learning_rate": 7.849734805982204e-06, "loss": 0.6699, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4491 }, { "epoch": 0.6121559007904062, "grad_norm": 0.6171875, "learning_rate": 7.845088517385044e-06, "loss": 0.93, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4492 }, { "epoch": 0.6122921777050968, "grad_norm": 0.3515625, "learning_rate": 7.840442716593262e-06, "loss": 0.7401, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4493 }, { "epoch": 0.6124284546197875, "grad_norm": 0.341796875, "learning_rate": 7.835797404658516e-06, "loss": 0.7499, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4494 }, { "epoch": 0.6125647315344781, "grad_norm": 0.388671875, "learning_rate": 7.831152582632356e-06, "loss": 0.8153, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4495 }, { "epoch": 0.6127010084491687, "grad_norm": 0.376953125, "learning_rate": 7.826508251566238e-06, "loss": 0.7772, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4496 }, { "epoch": 0.6128372853638594, "grad_norm": 0.333984375, "learning_rate": 7.821864412511485e-06, "loss": 0.6917, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4497 }, { "epoch": 0.61297356227855, "grad_norm": 0.294921875, "learning_rate": 7.817221066519326e-06, "loss": 0.7127, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4498 }, { "epoch": 0.6131098391932407, "grad_norm": 0.4140625, "learning_rate": 7.812578214640866e-06, "loss": 0.7215, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4499 }, { "epoch": 0.6132461161079313, "grad_norm": 0.328125, "learning_rate": 7.807935857927107e-06, "loss": 0.7053, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4500 }, { "epoch": 0.613382393022622, "grad_norm": 0.322265625, "learning_rate": 7.803293997428932e-06, "loss": 0.681, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4501 }, { "epoch": 0.6135186699373126, "grad_norm": 0.28125, "learning_rate": 7.798652634197118e-06, "loss": 0.6614, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4502 }, { "epoch": 0.6136549468520033, "grad_norm": 0.267578125, "learning_rate": 7.79401176928232e-06, "loss": 0.665, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4503 }, { "epoch": 0.6137912237666939, "grad_norm": 0.29296875, "learning_rate": 7.789371403735096e-06, "loss": 0.708, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4504 }, { "epoch": 0.6139275006813846, "grad_norm": 0.2490234375, "learning_rate": 7.784731538605874e-06, "loss": 0.6436, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4505 }, { "epoch": 0.6140637775960752, "grad_norm": 0.265625, "learning_rate": 7.780092174944975e-06, "loss": 0.6793, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4506 }, { "epoch": 0.6142000545107659, "grad_norm": 0.3125, "learning_rate": 7.775453313802615e-06, "loss": 0.7221, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4507 }, { "epoch": 0.6143363314254565, "grad_norm": 0.30078125, "learning_rate": 7.77081495622888e-06, "loss": 0.7101, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4508 }, { "epoch": 0.6144726083401472, "grad_norm": 0.27734375, "learning_rate": 7.76617710327376e-06, "loss": 0.6335, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4509 }, { "epoch": 0.6146088852548378, "grad_norm": 0.25, "learning_rate": 7.761539755987112e-06, "loss": 0.7051, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4510 }, { "epoch": 0.6147451621695285, "grad_norm": 0.298828125, "learning_rate": 7.756902915418697e-06, "loss": 0.7349, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4511 }, { "epoch": 0.6148814390842191, "grad_norm": 0.43359375, "learning_rate": 7.752266582618147e-06, "loss": 0.6723, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4512 }, { "epoch": 0.6150177159989098, "grad_norm": 0.314453125, "learning_rate": 7.747630758634987e-06, "loss": 0.6912, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4513 }, { "epoch": 0.6151539929136004, "grad_norm": 0.2373046875, "learning_rate": 7.74299544451862e-06, "loss": 0.7228, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4514 }, { "epoch": 0.615290269828291, "grad_norm": 0.34765625, "learning_rate": 7.738360641318346e-06, "loss": 0.7852, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4515 }, { "epoch": 0.6154265467429817, "grad_norm": 0.296875, "learning_rate": 7.733726350083331e-06, "loss": 0.6477, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4516 }, { "epoch": 0.6155628236576723, "grad_norm": 0.2890625, "learning_rate": 7.729092571862646e-06, "loss": 0.7391, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4517 }, { "epoch": 0.615699100572363, "grad_norm": 0.3671875, "learning_rate": 7.724459307705228e-06, "loss": 0.6797, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4518 }, { "epoch": 0.6158353774870537, "grad_norm": 0.375, "learning_rate": 7.719826558659904e-06, "loss": 0.768, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4519 }, { "epoch": 0.6159716544017444, "grad_norm": 0.240234375, "learning_rate": 7.715194325775392e-06, "loss": 0.6806, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4520 }, { "epoch": 0.616107931316435, "grad_norm": 0.27734375, "learning_rate": 7.710562610100283e-06, "loss": 0.68, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4521 }, { "epoch": 0.6162442082311257, "grad_norm": 0.30078125, "learning_rate": 7.705931412683048e-06, "loss": 0.649, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4522 }, { "epoch": 0.6163804851458163, "grad_norm": 0.25390625, "learning_rate": 7.701300734572056e-06, "loss": 0.7085, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4523 }, { "epoch": 0.616516762060507, "grad_norm": 0.384765625, "learning_rate": 7.696670576815547e-06, "loss": 0.7558, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4524 }, { "epoch": 0.6166530389751976, "grad_norm": 0.279296875, "learning_rate": 7.692040940461643e-06, "loss": 0.6745, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4525 }, { "epoch": 0.6167893158898883, "grad_norm": 0.27734375, "learning_rate": 7.687411826558352e-06, "loss": 0.6914, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4526 }, { "epoch": 0.6169255928045789, "grad_norm": 0.322265625, "learning_rate": 7.682783236153562e-06, "loss": 0.6885, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4527 }, { "epoch": 0.6170618697192696, "grad_norm": 0.2890625, "learning_rate": 7.678155170295045e-06, "loss": 0.7756, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4528 }, { "epoch": 0.6171981466339602, "grad_norm": 0.302734375, "learning_rate": 7.673527630030452e-06, "loss": 0.7668, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4529 }, { "epoch": 0.6173344235486509, "grad_norm": 0.322265625, "learning_rate": 7.668900616407311e-06, "loss": 0.752, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4530 }, { "epoch": 0.6174707004633415, "grad_norm": 0.361328125, "learning_rate": 7.66427413047304e-06, "loss": 0.7692, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4531 }, { "epoch": 0.6176069773780322, "grad_norm": 0.400390625, "learning_rate": 7.659648173274931e-06, "loss": 0.6837, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4532 }, { "epoch": 0.6177432542927228, "grad_norm": 0.373046875, "learning_rate": 7.655022745860153e-06, "loss": 0.7437, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4533 }, { "epoch": 0.6178795312074135, "grad_norm": 0.283203125, "learning_rate": 7.650397849275766e-06, "loss": 0.6621, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4534 }, { "epoch": 0.6180158081221041, "grad_norm": 0.279296875, "learning_rate": 7.645773484568698e-06, "loss": 0.7298, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4535 }, { "epoch": 0.6181520850367948, "grad_norm": 0.328125, "learning_rate": 7.64114965278577e-06, "loss": 0.7579, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4536 }, { "epoch": 0.6182883619514854, "grad_norm": 0.287109375, "learning_rate": 7.636526354973668e-06, "loss": 0.6548, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4537 }, { "epoch": 0.618424638866176, "grad_norm": 0.3515625, "learning_rate": 7.631903592178967e-06, "loss": 0.828, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4538 }, { "epoch": 0.6185609157808667, "grad_norm": 0.302734375, "learning_rate": 7.627281365448115e-06, "loss": 0.6635, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4539 }, { "epoch": 0.6186971926955573, "grad_norm": 0.27734375, "learning_rate": 7.622659675827446e-06, "loss": 0.6635, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4540 }, { "epoch": 0.618833469610248, "grad_norm": 0.28125, "learning_rate": 7.6180385243631604e-06, "loss": 0.7083, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4541 }, { "epoch": 0.6189697465249386, "grad_norm": 0.291015625, "learning_rate": 7.613417912101353e-06, "loss": 0.7021, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4542 }, { "epoch": 0.6191060234396293, "grad_norm": 0.29296875, "learning_rate": 7.608797840087983e-06, "loss": 0.6639, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4543 }, { "epoch": 0.6192423003543199, "grad_norm": 0.44140625, "learning_rate": 7.604178309368886e-06, "loss": 0.6636, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4544 }, { "epoch": 0.6193785772690106, "grad_norm": 0.400390625, "learning_rate": 7.5995593209897934e-06, "loss": 0.6976, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4545 }, { "epoch": 0.6195148541837013, "grad_norm": 0.3515625, "learning_rate": 7.5949408759962895e-06, "loss": 0.7403, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4546 }, { "epoch": 0.619651131098392, "grad_norm": 0.255859375, "learning_rate": 7.590322975433857e-06, "loss": 0.7415, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4547 }, { "epoch": 0.6197874080130826, "grad_norm": 0.35546875, "learning_rate": 7.585705620347843e-06, "loss": 0.6758, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4548 }, { "epoch": 0.6199236849277733, "grad_norm": 0.3203125, "learning_rate": 7.581088811783468e-06, "loss": 0.8117, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4549 }, { "epoch": 0.6200599618424639, "grad_norm": 0.369140625, "learning_rate": 7.576472550785845e-06, "loss": 0.6336, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4550 }, { "epoch": 0.6201962387571546, "grad_norm": 0.328125, "learning_rate": 7.571856838399945e-06, "loss": 0.7779, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4551 }, { "epoch": 0.6203325156718452, "grad_norm": 0.330078125, "learning_rate": 7.567241675670622e-06, "loss": 0.7404, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4552 }, { "epoch": 0.6204687925865359, "grad_norm": 0.294921875, "learning_rate": 7.562627063642615e-06, "loss": 0.7148, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4553 }, { "epoch": 0.6206050695012265, "grad_norm": 0.375, "learning_rate": 7.5580130033605186e-06, "loss": 0.767, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4554 }, { "epoch": 0.6207413464159172, "grad_norm": 0.306640625, "learning_rate": 7.553399495868824e-06, "loss": 0.7019, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4555 }, { "epoch": 0.6208776233306078, "grad_norm": 0.412109375, "learning_rate": 7.548786542211881e-06, "loss": 0.714, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4556 }, { "epoch": 0.6210139002452985, "grad_norm": 0.333984375, "learning_rate": 7.544174143433917e-06, "loss": 0.7223, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4557 }, { "epoch": 0.6211501771599891, "grad_norm": 0.28515625, "learning_rate": 7.539562300579044e-06, "loss": 0.7044, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4558 }, { "epoch": 0.6212864540746798, "grad_norm": 0.3125, "learning_rate": 7.534951014691237e-06, "loss": 0.6837, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4559 }, { "epoch": 0.6214227309893704, "grad_norm": 0.310546875, "learning_rate": 7.530340286814343e-06, "loss": 0.7034, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4560 }, { "epoch": 0.621559007904061, "grad_norm": 0.3515625, "learning_rate": 7.525730117992098e-06, "loss": 0.7305, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4561 }, { "epoch": 0.6216952848187517, "grad_norm": 0.30859375, "learning_rate": 7.521120509268095e-06, "loss": 0.7541, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4562 }, { "epoch": 0.6218315617334423, "grad_norm": 0.373046875, "learning_rate": 7.51651146168581e-06, "loss": 0.7056, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4563 }, { "epoch": 0.621967838648133, "grad_norm": 0.33203125, "learning_rate": 7.511902976288589e-06, "loss": 0.725, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4564 }, { "epoch": 0.6221041155628236, "grad_norm": 0.3203125, "learning_rate": 7.507295054119649e-06, "loss": 0.6923, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4565 }, { "epoch": 0.6222403924775143, "grad_norm": 0.3203125, "learning_rate": 7.5026876962220815e-06, "loss": 0.7054, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4566 }, { "epoch": 0.6223766693922049, "grad_norm": 0.314453125, "learning_rate": 7.4980809036388535e-06, "loss": 0.7192, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4567 }, { "epoch": 0.6225129463068956, "grad_norm": 0.2734375, "learning_rate": 7.493474677412795e-06, "loss": 0.6999, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4568 }, { "epoch": 0.6226492232215862, "grad_norm": 0.41015625, "learning_rate": 7.488869018586617e-06, "loss": 0.6524, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4569 }, { "epoch": 0.6227855001362769, "grad_norm": 0.326171875, "learning_rate": 7.484263928202899e-06, "loss": 0.6929, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4570 }, { "epoch": 0.6229217770509675, "grad_norm": 0.28515625, "learning_rate": 7.479659407304085e-06, "loss": 0.7139, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4571 }, { "epoch": 0.6230580539656582, "grad_norm": 0.31640625, "learning_rate": 7.475055456932505e-06, "loss": 0.7407, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4572 }, { "epoch": 0.6231943308803489, "grad_norm": 0.275390625, "learning_rate": 7.470452078130348e-06, "loss": 0.6997, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4573 }, { "epoch": 0.6233306077950396, "grad_norm": 0.3671875, "learning_rate": 7.465849271939669e-06, "loss": 0.7697, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4574 }, { "epoch": 0.6234668847097302, "grad_norm": 0.36328125, "learning_rate": 7.461247039402411e-06, "loss": 0.7259, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4575 }, { "epoch": 0.6236031616244209, "grad_norm": 0.255859375, "learning_rate": 7.456645381560373e-06, "loss": 0.738, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4576 }, { "epoch": 0.6237394385391115, "grad_norm": 0.283203125, "learning_rate": 7.45204429945523e-06, "loss": 0.745, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4577 }, { "epoch": 0.6238757154538022, "grad_norm": 0.388671875, "learning_rate": 7.447443794128525e-06, "loss": 0.7056, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4578 }, { "epoch": 0.6240119923684928, "grad_norm": 0.302734375, "learning_rate": 7.442843866621665e-06, "loss": 0.6605, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4579 }, { "epoch": 0.6241482692831835, "grad_norm": 0.287109375, "learning_rate": 7.4382445179759385e-06, "loss": 0.6746, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4580 }, { "epoch": 0.6242845461978741, "grad_norm": 0.333984375, "learning_rate": 7.4336457492324946e-06, "loss": 0.7775, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4581 }, { "epoch": 0.6244208231125647, "grad_norm": 0.294921875, "learning_rate": 7.4290475614323455e-06, "loss": 0.7112, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4582 }, { "epoch": 0.6245571000272554, "grad_norm": 0.259765625, "learning_rate": 7.424449955616388e-06, "loss": 0.7261, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4583 }, { "epoch": 0.624693376941946, "grad_norm": 0.345703125, "learning_rate": 7.419852932825371e-06, "loss": 0.7514, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4584 }, { "epoch": 0.6248296538566367, "grad_norm": 0.291015625, "learning_rate": 7.415256494099925e-06, "loss": 0.6838, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4585 }, { "epoch": 0.6249659307713273, "grad_norm": 0.359375, "learning_rate": 7.410660640480538e-06, "loss": 0.7257, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4586 }, { "epoch": 0.625102207686018, "grad_norm": 0.359375, "learning_rate": 7.406065373007565e-06, "loss": 0.695, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4587 }, { "epoch": 0.6252384846007086, "grad_norm": 0.33984375, "learning_rate": 7.401470692721242e-06, "loss": 0.7267, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4588 }, { "epoch": 0.6253747615153993, "grad_norm": 1.296875, "learning_rate": 7.396876600661654e-06, "loss": 0.7375, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4589 }, { "epoch": 0.6255110384300899, "grad_norm": 0.26171875, "learning_rate": 7.3922830978687665e-06, "loss": 0.688, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4590 }, { "epoch": 0.6256473153447806, "grad_norm": 0.267578125, "learning_rate": 7.387690185382403e-06, "loss": 0.7328, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4591 }, { "epoch": 0.6257835922594712, "grad_norm": 0.30859375, "learning_rate": 7.383097864242264e-06, "loss": 0.6558, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4592 }, { "epoch": 0.6259198691741619, "grad_norm": 0.236328125, "learning_rate": 7.378506135487897e-06, "loss": 0.6651, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4593 }, { "epoch": 0.6260561460888525, "grad_norm": 0.279296875, "learning_rate": 7.373915000158741e-06, "loss": 0.639, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4594 }, { "epoch": 0.6261924230035432, "grad_norm": 0.3515625, "learning_rate": 7.369324459294076e-06, "loss": 0.752, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4595 }, { "epoch": 0.6263286999182338, "grad_norm": 0.34375, "learning_rate": 7.364734513933067e-06, "loss": 0.7115, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4596 }, { "epoch": 0.6264649768329245, "grad_norm": 0.30859375, "learning_rate": 7.3601451651147335e-06, "loss": 0.7458, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4597 }, { "epoch": 0.6266012537476151, "grad_norm": 0.337890625, "learning_rate": 7.355556413877955e-06, "loss": 0.7075, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4598 }, { "epoch": 0.6267375306623058, "grad_norm": 0.33203125, "learning_rate": 7.3509682612614956e-06, "loss": 0.7036, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4599 }, { "epoch": 0.6268738075769965, "grad_norm": 0.345703125, "learning_rate": 7.3463807083039616e-06, "loss": 0.762, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4600 }, { "epoch": 0.6270100844916872, "grad_norm": 0.42578125, "learning_rate": 7.341793756043836e-06, "loss": 0.7917, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4601 }, { "epoch": 0.6271463614063778, "grad_norm": 0.259765625, "learning_rate": 7.337207405519463e-06, "loss": 0.6732, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4602 }, { "epoch": 0.6272826383210685, "grad_norm": 0.3984375, "learning_rate": 7.332621657769051e-06, "loss": 0.6921, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4603 }, { "epoch": 0.6274189152357591, "grad_norm": 0.251953125, "learning_rate": 7.328036513830672e-06, "loss": 0.6099, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4604 }, { "epoch": 0.6275551921504497, "grad_norm": 0.3046875, "learning_rate": 7.3234519747422625e-06, "loss": 0.7859, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4605 }, { "epoch": 0.6276914690651404, "grad_norm": 0.310546875, "learning_rate": 7.318868041541614e-06, "loss": 0.7524, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4606 }, { "epoch": 0.627827745979831, "grad_norm": 0.357421875, "learning_rate": 7.314284715266396e-06, "loss": 0.7891, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4607 }, { "epoch": 0.6279640228945217, "grad_norm": 0.26953125, "learning_rate": 7.309701996954128e-06, "loss": 0.7595, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4608 }, { "epoch": 0.6281002998092123, "grad_norm": 0.337890625, "learning_rate": 7.305119887642191e-06, "loss": 0.6596, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4609 }, { "epoch": 0.628236576723903, "grad_norm": 0.3125, "learning_rate": 7.300538388367842e-06, "loss": 0.6891, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4610 }, { "epoch": 0.6283728536385936, "grad_norm": 0.283203125, "learning_rate": 7.295957500168187e-06, "loss": 0.6608, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4611 }, { "epoch": 0.6285091305532843, "grad_norm": 0.302734375, "learning_rate": 7.291377224080192e-06, "loss": 0.6863, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4612 }, { "epoch": 0.6286454074679749, "grad_norm": 0.291015625, "learning_rate": 7.286797561140699e-06, "loss": 0.6881, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4613 }, { "epoch": 0.6287816843826656, "grad_norm": 0.26953125, "learning_rate": 7.282218512386394e-06, "loss": 0.6995, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4614 }, { "epoch": 0.6289179612973562, "grad_norm": 0.298828125, "learning_rate": 7.27764007885384e-06, "loss": 0.6788, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4615 }, { "epoch": 0.6290542382120469, "grad_norm": 0.486328125, "learning_rate": 7.273062261579447e-06, "loss": 0.7891, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4616 }, { "epoch": 0.6291905151267375, "grad_norm": 0.32421875, "learning_rate": 7.268485061599492e-06, "loss": 0.7329, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4617 }, { "epoch": 0.6293267920414282, "grad_norm": 0.51171875, "learning_rate": 7.263908479950117e-06, "loss": 0.7427, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4618 }, { "epoch": 0.6294630689561188, "grad_norm": 0.35546875, "learning_rate": 7.259332517667315e-06, "loss": 0.6999, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4619 }, { "epoch": 0.6295993458708095, "grad_norm": 0.32421875, "learning_rate": 7.254757175786937e-06, "loss": 0.7193, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4620 }, { "epoch": 0.6297356227855001, "grad_norm": 0.263671875, "learning_rate": 7.2501824553447086e-06, "loss": 0.6749, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4621 }, { "epoch": 0.6298718997001908, "grad_norm": 0.322265625, "learning_rate": 7.2456083573762015e-06, "loss": 0.7104, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4622 }, { "epoch": 0.6300081766148814, "grad_norm": 0.326171875, "learning_rate": 7.2410348829168445e-06, "loss": 0.7355, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4623 }, { "epoch": 0.630144453529572, "grad_norm": 0.3515625, "learning_rate": 7.2364620330019405e-06, "loss": 0.7539, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4624 }, { "epoch": 0.6302807304442627, "grad_norm": 0.314453125, "learning_rate": 7.231889808666632e-06, "loss": 0.6945, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4625 }, { "epoch": 0.6304170073589533, "grad_norm": 0.35546875, "learning_rate": 7.2273182109459385e-06, "loss": 0.7874, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4626 }, { "epoch": 0.6305532842736441, "grad_norm": 0.294921875, "learning_rate": 7.222747240874721e-06, "loss": 0.683, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4627 }, { "epoch": 0.6306895611883347, "grad_norm": 0.330078125, "learning_rate": 7.21817689948771e-06, "loss": 0.6696, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4628 }, { "epoch": 0.6308258381030254, "grad_norm": 0.625, "learning_rate": 7.213607187819489e-06, "loss": 0.7948, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4629 }, { "epoch": 0.630962115017716, "grad_norm": 0.294921875, "learning_rate": 7.2090381069045e-06, "loss": 0.7275, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4630 }, { "epoch": 0.6310983919324067, "grad_norm": 0.29296875, "learning_rate": 7.204469657777036e-06, "loss": 0.6818, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4631 }, { "epoch": 0.6312346688470973, "grad_norm": 0.474609375, "learning_rate": 7.199901841471262e-06, "loss": 0.6875, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4632 }, { "epoch": 0.631370945761788, "grad_norm": 0.275390625, "learning_rate": 7.195334659021182e-06, "loss": 0.7155, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4633 }, { "epoch": 0.6315072226764786, "grad_norm": 0.357421875, "learning_rate": 7.190768111460673e-06, "loss": 0.7271, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4634 }, { "epoch": 0.6316434995911693, "grad_norm": 0.408203125, "learning_rate": 7.186202199823456e-06, "loss": 0.7247, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4635 }, { "epoch": 0.6317797765058599, "grad_norm": 0.2431640625, "learning_rate": 7.181636925143107e-06, "loss": 0.7128, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4636 }, { "epoch": 0.6319160534205506, "grad_norm": 0.35546875, "learning_rate": 7.177072288453073e-06, "loss": 0.7422, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4637 }, { "epoch": 0.6320523303352412, "grad_norm": 0.294921875, "learning_rate": 7.172508290786644e-06, "loss": 0.6705, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4638 }, { "epoch": 0.6321886072499319, "grad_norm": 0.224609375, "learning_rate": 7.16794493317696e-06, "loss": 0.661, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4639 }, { "epoch": 0.6323248841646225, "grad_norm": 0.2373046875, "learning_rate": 7.163382216657033e-06, "loss": 0.6462, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4640 }, { "epoch": 0.6324611610793132, "grad_norm": 0.326171875, "learning_rate": 7.158820142259721e-06, "loss": 0.7331, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4641 }, { "epoch": 0.6325974379940038, "grad_norm": 0.294921875, "learning_rate": 7.154258711017729e-06, "loss": 0.7166, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4642 }, { "epoch": 0.6327337149086945, "grad_norm": 0.30859375, "learning_rate": 7.149697923963634e-06, "loss": 0.7616, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4643 }, { "epoch": 0.6328699918233851, "grad_norm": 0.322265625, "learning_rate": 7.14513778212985e-06, "loss": 0.6917, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4644 }, { "epoch": 0.6330062687380758, "grad_norm": 0.33984375, "learning_rate": 7.140578286548656e-06, "loss": 0.7143, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4645 }, { "epoch": 0.6331425456527664, "grad_norm": 0.236328125, "learning_rate": 7.136019438252181e-06, "loss": 0.6918, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4646 }, { "epoch": 0.633278822567457, "grad_norm": 0.298828125, "learning_rate": 7.131461238272401e-06, "loss": 0.7298, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4647 }, { "epoch": 0.6334150994821477, "grad_norm": 0.26953125, "learning_rate": 7.126903687641161e-06, "loss": 0.7092, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4648 }, { "epoch": 0.6335513763968383, "grad_norm": 0.39453125, "learning_rate": 7.122346787390145e-06, "loss": 0.7395, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4649 }, { "epoch": 0.633687653311529, "grad_norm": 0.31640625, "learning_rate": 7.117790538550891e-06, "loss": 0.7251, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4650 }, { "epoch": 0.6338239302262196, "grad_norm": 0.271484375, "learning_rate": 7.113234942154799e-06, "loss": 0.7493, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4651 }, { "epoch": 0.6339602071409103, "grad_norm": 0.353515625, "learning_rate": 7.1086799992331104e-06, "loss": 0.7308, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4652 }, { "epoch": 0.6340964840556009, "grad_norm": 0.28125, "learning_rate": 7.104125710816929e-06, "loss": 0.6896, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4653 }, { "epoch": 0.6342327609702917, "grad_norm": 0.279296875, "learning_rate": 7.0995720779372005e-06, "loss": 0.7238, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4654 }, { "epoch": 0.6343690378849823, "grad_norm": 0.375, "learning_rate": 7.095019101624727e-06, "loss": 0.7144, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4655 }, { "epoch": 0.634505314799673, "grad_norm": 0.28515625, "learning_rate": 7.090466782910163e-06, "loss": 0.7232, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4656 }, { "epoch": 0.6346415917143636, "grad_norm": 0.330078125, "learning_rate": 7.085915122824016e-06, "loss": 0.7104, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4657 }, { "epoch": 0.6347778686290543, "grad_norm": 0.361328125, "learning_rate": 7.081364122396632e-06, "loss": 0.7915, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4658 }, { "epoch": 0.6349141455437449, "grad_norm": 0.515625, "learning_rate": 7.0768137826582276e-06, "loss": 0.8036, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4659 }, { "epoch": 0.6350504224584356, "grad_norm": 0.3828125, "learning_rate": 7.072264104638853e-06, "loss": 0.7708, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4660 }, { "epoch": 0.6351866993731262, "grad_norm": 0.318359375, "learning_rate": 7.067715089368412e-06, "loss": 0.6579, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4661 }, { "epoch": 0.6353229762878169, "grad_norm": 0.3203125, "learning_rate": 7.06316673787667e-06, "loss": 0.675, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4662 }, { "epoch": 0.6354592532025075, "grad_norm": 0.361328125, "learning_rate": 7.058619051193222e-06, "loss": 0.7072, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4663 }, { "epoch": 0.6355955301171982, "grad_norm": 0.265625, "learning_rate": 7.054072030347534e-06, "loss": 0.6475, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4664 }, { "epoch": 0.6357318070318888, "grad_norm": 0.92578125, "learning_rate": 7.049525676368907e-06, "loss": 0.7954, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4665 }, { "epoch": 0.6358680839465795, "grad_norm": 0.25, "learning_rate": 7.044979990286494e-06, "loss": 0.6549, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4666 }, { "epoch": 0.6360043608612701, "grad_norm": 1.5, "learning_rate": 7.040434973129298e-06, "loss": 0.8317, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4667 }, { "epoch": 0.6361406377759607, "grad_norm": 0.41015625, "learning_rate": 7.035890625926171e-06, "loss": 0.7162, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4668 }, { "epoch": 0.6362769146906514, "grad_norm": 0.423828125, "learning_rate": 7.031346949705813e-06, "loss": 0.8475, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4669 }, { "epoch": 0.636413191605342, "grad_norm": 0.298828125, "learning_rate": 7.026803945496774e-06, "loss": 0.6914, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4670 }, { "epoch": 0.6365494685200327, "grad_norm": 0.328125, "learning_rate": 7.022261614327448e-06, "loss": 0.7136, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4671 }, { "epoch": 0.6366857454347233, "grad_norm": 0.3828125, "learning_rate": 7.017719957226072e-06, "loss": 0.7893, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4672 }, { "epoch": 0.636822022349414, "grad_norm": 0.427734375, "learning_rate": 7.013178975220749e-06, "loss": 0.7822, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4673 }, { "epoch": 0.6369582992641046, "grad_norm": 0.427734375, "learning_rate": 7.0086386693394075e-06, "loss": 0.7023, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4674 }, { "epoch": 0.6370945761787953, "grad_norm": 0.435546875, "learning_rate": 7.004099040609839e-06, "loss": 0.7329, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4675 }, { "epoch": 0.6372308530934859, "grad_norm": 0.287109375, "learning_rate": 6.9995600900596715e-06, "loss": 0.668, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4676 }, { "epoch": 0.6373671300081766, "grad_norm": 0.27734375, "learning_rate": 6.99502181871638e-06, "loss": 0.7105, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4677 }, { "epoch": 0.6375034069228672, "grad_norm": 0.279296875, "learning_rate": 6.990484227607296e-06, "loss": 0.6994, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4678 }, { "epoch": 0.6376396838375579, "grad_norm": 0.2578125, "learning_rate": 6.985947317759585e-06, "loss": 0.693, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4679 }, { "epoch": 0.6377759607522485, "grad_norm": 0.267578125, "learning_rate": 6.981411090200264e-06, "loss": 0.7076, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4680 }, { "epoch": 0.6379122376669393, "grad_norm": 0.357421875, "learning_rate": 6.976875545956197e-06, "loss": 0.7508, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4681 }, { "epoch": 0.6380485145816299, "grad_norm": 0.302734375, "learning_rate": 6.972340686054085e-06, "loss": 0.6559, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4682 }, { "epoch": 0.6381847914963206, "grad_norm": 0.33984375, "learning_rate": 6.96780651152049e-06, "loss": 0.7914, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4683 }, { "epoch": 0.6383210684110112, "grad_norm": 0.263671875, "learning_rate": 6.9632730233818035e-06, "loss": 0.6679, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4684 }, { "epoch": 0.6384573453257019, "grad_norm": 0.291015625, "learning_rate": 6.958740222664263e-06, "loss": 0.6967, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4685 }, { "epoch": 0.6385936222403925, "grad_norm": 0.36328125, "learning_rate": 6.954208110393963e-06, "loss": 0.7638, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4686 }, { "epoch": 0.6387298991550832, "grad_norm": 0.30078125, "learning_rate": 6.949676687596829e-06, "loss": 0.7148, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4687 }, { "epoch": 0.6388661760697738, "grad_norm": 0.279296875, "learning_rate": 6.945145955298632e-06, "loss": 0.7359, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4688 }, { "epoch": 0.6390024529844645, "grad_norm": 0.2890625, "learning_rate": 6.940615914524998e-06, "loss": 0.6978, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4689 }, { "epoch": 0.6391387298991551, "grad_norm": 0.287109375, "learning_rate": 6.936086566301381e-06, "loss": 0.6977, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4690 }, { "epoch": 0.6392750068138457, "grad_norm": 0.388671875, "learning_rate": 6.931557911653086e-06, "loss": 0.774, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4691 }, { "epoch": 0.6394112837285364, "grad_norm": 0.53515625, "learning_rate": 6.927029951605265e-06, "loss": 0.7588, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4692 }, { "epoch": 0.639547560643227, "grad_norm": 0.2421875, "learning_rate": 6.922502687182905e-06, "loss": 0.672, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4693 }, { "epoch": 0.6396838375579177, "grad_norm": 0.296875, "learning_rate": 6.917976119410839e-06, "loss": 0.7223, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4694 }, { "epoch": 0.6398201144726083, "grad_norm": 0.32421875, "learning_rate": 6.9134502493137455e-06, "loss": 0.8055, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4695 }, { "epoch": 0.639956391387299, "grad_norm": 0.34765625, "learning_rate": 6.908925077916133e-06, "loss": 0.7644, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4696 }, { "epoch": 0.6400926683019896, "grad_norm": 0.255859375, "learning_rate": 6.904400606242372e-06, "loss": 0.6182, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4697 }, { "epoch": 0.6402289452166803, "grad_norm": 0.6484375, "learning_rate": 6.899876835316657e-06, "loss": 0.8109, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4698 }, { "epoch": 0.6403652221313709, "grad_norm": 0.365234375, "learning_rate": 6.895353766163026e-06, "loss": 0.7131, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4699 }, { "epoch": 0.6405014990460616, "grad_norm": 0.3359375, "learning_rate": 6.89083139980537e-06, "loss": 0.7178, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4700 }, { "epoch": 0.6406377759607522, "grad_norm": 0.294921875, "learning_rate": 6.886309737267405e-06, "loss": 0.703, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4701 }, { "epoch": 0.6407740528754429, "grad_norm": 0.25, "learning_rate": 6.881788779572704e-06, "loss": 0.6961, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4702 }, { "epoch": 0.6409103297901335, "grad_norm": 0.326171875, "learning_rate": 6.877268527744669e-06, "loss": 0.6899, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4703 }, { "epoch": 0.6410466067048242, "grad_norm": 0.283203125, "learning_rate": 6.872748982806541e-06, "loss": 0.6545, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4704 }, { "epoch": 0.6411828836195148, "grad_norm": 0.251953125, "learning_rate": 6.868230145781409e-06, "loss": 0.6478, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4705 }, { "epoch": 0.6413191605342055, "grad_norm": 0.439453125, "learning_rate": 6.8637120176922e-06, "loss": 0.6569, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4706 }, { "epoch": 0.6414554374488961, "grad_norm": 0.369140625, "learning_rate": 6.8591945995616725e-06, "loss": 0.7238, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4707 }, { "epoch": 0.6415917143635869, "grad_norm": 0.33984375, "learning_rate": 6.8546778924124395e-06, "loss": 0.7366, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4708 }, { "epoch": 0.6417279912782775, "grad_norm": 0.28515625, "learning_rate": 6.8501618972669384e-06, "loss": 0.7278, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4709 }, { "epoch": 0.6418642681929682, "grad_norm": 0.37890625, "learning_rate": 6.845646615147445e-06, "loss": 0.7445, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4710 }, { "epoch": 0.6420005451076588, "grad_norm": 0.29296875, "learning_rate": 6.841132047076092e-06, "loss": 0.7651, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4711 }, { "epoch": 0.6421368220223495, "grad_norm": 0.3359375, "learning_rate": 6.836618194074827e-06, "loss": 0.7524, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4712 }, { "epoch": 0.6422730989370401, "grad_norm": 0.310546875, "learning_rate": 6.832105057165457e-06, "loss": 0.7069, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4713 }, { "epoch": 0.6424093758517307, "grad_norm": 0.296875, "learning_rate": 6.827592637369611e-06, "loss": 0.7018, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4714 }, { "epoch": 0.6425456527664214, "grad_norm": 0.46484375, "learning_rate": 6.823080935708758e-06, "loss": 0.8092, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4715 }, { "epoch": 0.642681929681112, "grad_norm": 0.302734375, "learning_rate": 6.818569953204216e-06, "loss": 0.7536, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4716 }, { "epoch": 0.6428182065958027, "grad_norm": 0.322265625, "learning_rate": 6.814059690877126e-06, "loss": 0.7145, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4717 }, { "epoch": 0.6429544835104933, "grad_norm": 0.3828125, "learning_rate": 6.8095501497484725e-06, "loss": 0.6622, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4718 }, { "epoch": 0.643090760425184, "grad_norm": 0.306640625, "learning_rate": 6.805041330839079e-06, "loss": 0.666, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4719 }, { "epoch": 0.6432270373398746, "grad_norm": 0.32421875, "learning_rate": 6.800533235169604e-06, "loss": 0.6955, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4720 }, { "epoch": 0.6433633142545653, "grad_norm": 0.359375, "learning_rate": 6.796025863760533e-06, "loss": 0.6566, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4721 }, { "epoch": 0.6434995911692559, "grad_norm": 0.41796875, "learning_rate": 6.791519217632206e-06, "loss": 0.7427, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4722 }, { "epoch": 0.6436358680839466, "grad_norm": 0.333984375, "learning_rate": 6.7870132978047785e-06, "loss": 0.6933, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4723 }, { "epoch": 0.6437721449986372, "grad_norm": 0.734375, "learning_rate": 6.782508105298262e-06, "loss": 0.7025, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4724 }, { "epoch": 0.6439084219133279, "grad_norm": 0.318359375, "learning_rate": 6.778003641132487e-06, "loss": 0.7516, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4725 }, { "epoch": 0.6440446988280185, "grad_norm": 0.37890625, "learning_rate": 6.77349990632712e-06, "loss": 0.7533, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4726 }, { "epoch": 0.6441809757427092, "grad_norm": 0.27734375, "learning_rate": 6.768996901901678e-06, "loss": 0.6868, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4727 }, { "epoch": 0.6443172526573998, "grad_norm": 0.44921875, "learning_rate": 6.764494628875496e-06, "loss": 0.7356, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4728 }, { "epoch": 0.6444535295720905, "grad_norm": 0.31640625, "learning_rate": 6.759993088267747e-06, "loss": 0.6736, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4729 }, { "epoch": 0.6445898064867811, "grad_norm": 0.376953125, "learning_rate": 6.755492281097446e-06, "loss": 0.7743, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4730 }, { "epoch": 0.6447260834014718, "grad_norm": 0.455078125, "learning_rate": 6.750992208383436e-06, "loss": 0.7832, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4731 }, { "epoch": 0.6448623603161624, "grad_norm": 0.30078125, "learning_rate": 6.74649287114439e-06, "loss": 0.6698, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4732 }, { "epoch": 0.644998637230853, "grad_norm": 0.244140625, "learning_rate": 6.741994270398826e-06, "loss": 0.7617, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4733 }, { "epoch": 0.6451349141455437, "grad_norm": 0.326171875, "learning_rate": 6.7374964071650804e-06, "loss": 0.7165, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4734 }, { "epoch": 0.6452711910602345, "grad_norm": 0.380859375, "learning_rate": 6.732999282461338e-06, "loss": 0.6915, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4735 }, { "epoch": 0.6454074679749251, "grad_norm": 0.27734375, "learning_rate": 6.728502897305604e-06, "loss": 0.6869, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4736 }, { "epoch": 0.6455437448896157, "grad_norm": 0.27734375, "learning_rate": 6.724007252715721e-06, "loss": 0.6749, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4737 }, { "epoch": 0.6456800218043064, "grad_norm": 0.3359375, "learning_rate": 6.719512349709366e-06, "loss": 0.7128, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4738 }, { "epoch": 0.645816298718997, "grad_norm": 0.30859375, "learning_rate": 6.7150181893040474e-06, "loss": 0.7671, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4739 }, { "epoch": 0.6459525756336877, "grad_norm": 0.37890625, "learning_rate": 6.7105247725170976e-06, "loss": 0.7738, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4740 }, { "epoch": 0.6460888525483783, "grad_norm": 0.39453125, "learning_rate": 6.706032100365696e-06, "loss": 0.8092, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4741 }, { "epoch": 0.646225129463069, "grad_norm": 0.359375, "learning_rate": 6.701540173866836e-06, "loss": 0.6407, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4742 }, { "epoch": 0.6463614063777596, "grad_norm": 0.279296875, "learning_rate": 6.697048994037359e-06, "loss": 0.6889, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4743 }, { "epoch": 0.6464976832924503, "grad_norm": 0.267578125, "learning_rate": 6.692558561893925e-06, "loss": 0.6545, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4744 }, { "epoch": 0.6466339602071409, "grad_norm": 0.380859375, "learning_rate": 6.68806887845303e-06, "loss": 0.7604, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4745 }, { "epoch": 0.6467702371218316, "grad_norm": 0.375, "learning_rate": 6.683579944731e-06, "loss": 0.7842, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4746 }, { "epoch": 0.6469065140365222, "grad_norm": 0.44140625, "learning_rate": 6.6790917617439925e-06, "loss": 0.7706, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4747 }, { "epoch": 0.6470427909512129, "grad_norm": 0.341796875, "learning_rate": 6.674604330507986e-06, "loss": 0.7589, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4748 }, { "epoch": 0.6471790678659035, "grad_norm": 0.345703125, "learning_rate": 6.670117652038807e-06, "loss": 0.7035, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4749 }, { "epoch": 0.6473153447805942, "grad_norm": 0.373046875, "learning_rate": 6.665631727352091e-06, "loss": 0.6825, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4750 }, { "epoch": 0.6474516216952848, "grad_norm": 0.240234375, "learning_rate": 6.661146557463322e-06, "loss": 0.673, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4751 }, { "epoch": 0.6475878986099755, "grad_norm": 0.419921875, "learning_rate": 6.656662143387798e-06, "loss": 0.6906, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4752 }, { "epoch": 0.6477241755246661, "grad_norm": 0.25390625, "learning_rate": 6.65217848614065e-06, "loss": 0.7198, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4753 }, { "epoch": 0.6478604524393567, "grad_norm": 0.271484375, "learning_rate": 6.6476955867368464e-06, "loss": 0.7268, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4754 }, { "epoch": 0.6479967293540474, "grad_norm": 0.255859375, "learning_rate": 6.64321344619117e-06, "loss": 0.7411, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4755 }, { "epoch": 0.648133006268738, "grad_norm": 0.326171875, "learning_rate": 6.638732065518243e-06, "loss": 0.6962, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4756 }, { "epoch": 0.6482692831834287, "grad_norm": 0.2890625, "learning_rate": 6.634251445732509e-06, "loss": 0.676, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4757 }, { "epoch": 0.6484055600981193, "grad_norm": 0.2412109375, "learning_rate": 6.629771587848247e-06, "loss": 0.6617, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4758 }, { "epoch": 0.64854183701281, "grad_norm": 0.296875, "learning_rate": 6.625292492879551e-06, "loss": 0.699, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4759 }, { "epoch": 0.6486781139275006, "grad_norm": 0.3203125, "learning_rate": 6.620814161840357e-06, "loss": 0.7259, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4760 }, { "epoch": 0.6488143908421913, "grad_norm": 0.271484375, "learning_rate": 6.616336595744413e-06, "loss": 0.6852, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4761 }, { "epoch": 0.648950667756882, "grad_norm": 0.33203125, "learning_rate": 6.6118597956053085e-06, "loss": 0.6932, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4762 }, { "epoch": 0.6490869446715727, "grad_norm": 0.283203125, "learning_rate": 6.607383762436452e-06, "loss": 0.7135, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4763 }, { "epoch": 0.6492232215862633, "grad_norm": 0.6796875, "learning_rate": 6.602908497251073e-06, "loss": 0.7721, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4764 }, { "epoch": 0.649359498500954, "grad_norm": 0.3125, "learning_rate": 6.598434001062239e-06, "loss": 0.711, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4765 }, { "epoch": 0.6494957754156446, "grad_norm": 0.5234375, "learning_rate": 6.593960274882839e-06, "loss": 0.66, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4766 }, { "epoch": 0.6496320523303353, "grad_norm": 0.3671875, "learning_rate": 6.589487319725578e-06, "loss": 0.6695, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4767 }, { "epoch": 0.6497683292450259, "grad_norm": 0.369140625, "learning_rate": 6.585015136603005e-06, "loss": 0.8029, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4768 }, { "epoch": 0.6499046061597166, "grad_norm": 0.28515625, "learning_rate": 6.580543726527477e-06, "loss": 0.6475, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4769 }, { "epoch": 0.6500408830744072, "grad_norm": 0.30859375, "learning_rate": 6.576073090511183e-06, "loss": 0.655, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4770 }, { "epoch": 0.6501771599890979, "grad_norm": 0.275390625, "learning_rate": 6.571603229566144e-06, "loss": 0.7189, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4771 }, { "epoch": 0.6503134369037885, "grad_norm": 0.267578125, "learning_rate": 6.567134144704188e-06, "loss": 0.603, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4772 }, { "epoch": 0.6504497138184792, "grad_norm": 0.30078125, "learning_rate": 6.562665836936989e-06, "loss": 0.7469, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4773 }, { "epoch": 0.6505859907331698, "grad_norm": 0.302734375, "learning_rate": 6.558198307276027e-06, "loss": 0.7069, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4774 }, { "epoch": 0.6507222676478605, "grad_norm": 0.353515625, "learning_rate": 6.553731556732611e-06, "loss": 0.818, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4775 }, { "epoch": 0.6508585445625511, "grad_norm": 0.46875, "learning_rate": 6.549265586317881e-06, "loss": 0.7456, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4776 }, { "epoch": 0.6509948214772417, "grad_norm": 0.2890625, "learning_rate": 6.544800397042793e-06, "loss": 0.7006, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4777 }, { "epoch": 0.6511310983919324, "grad_norm": 0.2734375, "learning_rate": 6.540335989918122e-06, "loss": 0.7415, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4778 }, { "epoch": 0.651267375306623, "grad_norm": 0.2734375, "learning_rate": 6.535872365954481e-06, "loss": 0.6804, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4779 }, { "epoch": 0.6514036522213137, "grad_norm": 0.263671875, "learning_rate": 6.531409526162287e-06, "loss": 0.6824, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4780 }, { "epoch": 0.6515399291360043, "grad_norm": 0.279296875, "learning_rate": 6.526947471551799e-06, "loss": 0.6833, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4781 }, { "epoch": 0.651676206050695, "grad_norm": 0.328125, "learning_rate": 6.5224862031330806e-06, "loss": 0.7878, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4782 }, { "epoch": 0.6518124829653856, "grad_norm": 0.384765625, "learning_rate": 6.518025721916028e-06, "loss": 0.893, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4783 }, { "epoch": 0.6519487598800763, "grad_norm": 0.5703125, "learning_rate": 6.513566028910356e-06, "loss": 0.7287, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4784 }, { "epoch": 0.6520850367947669, "grad_norm": 0.25390625, "learning_rate": 6.509107125125604e-06, "loss": 0.7337, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4785 }, { "epoch": 0.6522213137094576, "grad_norm": 0.275390625, "learning_rate": 6.504649011571125e-06, "loss": 0.6995, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4786 }, { "epoch": 0.6523575906241482, "grad_norm": 0.31640625, "learning_rate": 6.500191689256102e-06, "loss": 0.7458, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4787 }, { "epoch": 0.6524938675388389, "grad_norm": 0.294921875, "learning_rate": 6.495735159189536e-06, "loss": 0.693, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4788 }, { "epoch": 0.6526301444535296, "grad_norm": 0.2890625, "learning_rate": 6.491279422380239e-06, "loss": 0.6962, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4789 }, { "epoch": 0.6527664213682203, "grad_norm": 0.283203125, "learning_rate": 6.486824479836864e-06, "loss": 0.7259, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4790 }, { "epoch": 0.6529026982829109, "grad_norm": 0.3828125, "learning_rate": 6.482370332567862e-06, "loss": 0.7894, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4791 }, { "epoch": 0.6530389751976016, "grad_norm": 0.373046875, "learning_rate": 6.4779169815815245e-06, "loss": 0.7031, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4792 }, { "epoch": 0.6531752521122922, "grad_norm": 0.29296875, "learning_rate": 6.473464427885946e-06, "loss": 0.6956, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4793 }, { "epoch": 0.6533115290269829, "grad_norm": 0.32421875, "learning_rate": 6.469012672489044e-06, "loss": 0.6857, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4794 }, { "epoch": 0.6534478059416735, "grad_norm": 0.3125, "learning_rate": 6.464561716398565e-06, "loss": 0.7369, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4795 }, { "epoch": 0.6535840828563642, "grad_norm": 0.404296875, "learning_rate": 6.460111560622068e-06, "loss": 0.6857, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4796 }, { "epoch": 0.6537203597710548, "grad_norm": 0.31640625, "learning_rate": 6.455662206166924e-06, "loss": 0.6988, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4797 }, { "epoch": 0.6538566366857455, "grad_norm": 0.3125, "learning_rate": 6.451213654040338e-06, "loss": 0.7732, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4798 }, { "epoch": 0.6539929136004361, "grad_norm": 0.30859375, "learning_rate": 6.446765905249316e-06, "loss": 0.6824, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4799 }, { "epoch": 0.6541291905151267, "grad_norm": 0.4765625, "learning_rate": 6.4423189608007e-06, "loss": 0.7286, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4800 }, { "epoch": 0.6542654674298174, "grad_norm": 0.302734375, "learning_rate": 6.437872821701134e-06, "loss": 0.7619, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4801 }, { "epoch": 0.654401744344508, "grad_norm": 0.38671875, "learning_rate": 6.433427488957087e-06, "loss": 0.7244, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4802 }, { "epoch": 0.6545380212591987, "grad_norm": 0.353515625, "learning_rate": 6.42898296357485e-06, "loss": 0.7068, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4803 }, { "epoch": 0.6546742981738893, "grad_norm": 0.359375, "learning_rate": 6.424539246560522e-06, "loss": 0.7332, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4804 }, { "epoch": 0.65481057508858, "grad_norm": 0.28125, "learning_rate": 6.420096338920021e-06, "loss": 0.7831, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4805 }, { "epoch": 0.6549468520032706, "grad_norm": 0.29296875, "learning_rate": 6.4156542416590905e-06, "loss": 0.7266, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4806 }, { "epoch": 0.6550831289179613, "grad_norm": 0.287109375, "learning_rate": 6.411212955783278e-06, "loss": 0.7113, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4807 }, { "epoch": 0.6552194058326519, "grad_norm": 0.255859375, "learning_rate": 6.406772482297956e-06, "loss": 0.6849, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4808 }, { "epoch": 0.6553556827473426, "grad_norm": 0.208984375, "learning_rate": 6.40233282220831e-06, "loss": 0.7049, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4809 }, { "epoch": 0.6554919596620332, "grad_norm": 0.392578125, "learning_rate": 6.397893976519345e-06, "loss": 0.7021, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4810 }, { "epoch": 0.6556282365767239, "grad_norm": 0.35546875, "learning_rate": 6.393455946235874e-06, "loss": 0.7234, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4811 }, { "epoch": 0.6557645134914145, "grad_norm": 0.31640625, "learning_rate": 6.389018732362533e-06, "loss": 0.7655, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4812 }, { "epoch": 0.6559007904061052, "grad_norm": 0.41015625, "learning_rate": 6.384582335903764e-06, "loss": 0.7956, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4813 }, { "epoch": 0.6560370673207958, "grad_norm": 0.296875, "learning_rate": 6.380146757863841e-06, "loss": 0.7384, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4814 }, { "epoch": 0.6561733442354865, "grad_norm": 0.3203125, "learning_rate": 6.3757119992468345e-06, "loss": 0.6728, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4815 }, { "epoch": 0.6563096211501772, "grad_norm": 0.30859375, "learning_rate": 6.371278061056634e-06, "loss": 0.6702, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4816 }, { "epoch": 0.6564458980648679, "grad_norm": 0.328125, "learning_rate": 6.366844944296955e-06, "loss": 0.735, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4817 }, { "epoch": 0.6565821749795585, "grad_norm": 0.46875, "learning_rate": 6.36241264997131e-06, "loss": 0.7065, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4818 }, { "epoch": 0.6567184518942492, "grad_norm": 0.283203125, "learning_rate": 6.357981179083037e-06, "loss": 0.6252, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4819 }, { "epoch": 0.6568547288089398, "grad_norm": 0.341796875, "learning_rate": 6.353550532635284e-06, "loss": 0.7307, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4820 }, { "epoch": 0.6569910057236305, "grad_norm": 0.29296875, "learning_rate": 6.3491207116310135e-06, "loss": 0.6965, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4821 }, { "epoch": 0.6571272826383211, "grad_norm": 0.28125, "learning_rate": 6.344691717072997e-06, "loss": 0.6918, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4822 }, { "epoch": 0.6572635595530117, "grad_norm": 0.328125, "learning_rate": 6.340263549963827e-06, "loss": 0.7362, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4823 }, { "epoch": 0.6573998364677024, "grad_norm": 0.32421875, "learning_rate": 6.3358362113058955e-06, "loss": 0.7633, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4824 }, { "epoch": 0.657536113382393, "grad_norm": 0.310546875, "learning_rate": 6.331409702101425e-06, "loss": 0.7243, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4825 }, { "epoch": 0.6576723902970837, "grad_norm": 0.265625, "learning_rate": 6.326984023352435e-06, "loss": 0.7065, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4826 }, { "epoch": 0.6578086672117743, "grad_norm": 0.294921875, "learning_rate": 6.322559176060759e-06, "loss": 0.6304, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4827 }, { "epoch": 0.657944944126465, "grad_norm": 0.6796875, "learning_rate": 6.318135161228054e-06, "loss": 0.6376, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4828 }, { "epoch": 0.6580812210411556, "grad_norm": 0.26953125, "learning_rate": 6.313711979855772e-06, "loss": 0.7364, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4829 }, { "epoch": 0.6582174979558463, "grad_norm": 0.30078125, "learning_rate": 6.309289632945193e-06, "loss": 0.6868, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4830 }, { "epoch": 0.6583537748705369, "grad_norm": 0.4375, "learning_rate": 6.304868121497394e-06, "loss": 0.7042, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4831 }, { "epoch": 0.6584900517852276, "grad_norm": 0.263671875, "learning_rate": 6.300447446513266e-06, "loss": 0.6915, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4832 }, { "epoch": 0.6586263286999182, "grad_norm": 0.2431640625, "learning_rate": 6.29602760899352e-06, "loss": 0.6772, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4833 }, { "epoch": 0.6587626056146089, "grad_norm": 0.322265625, "learning_rate": 6.291608609938669e-06, "loss": 0.6977, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4834 }, { "epoch": 0.6588988825292995, "grad_norm": 0.3671875, "learning_rate": 6.287190450349031e-06, "loss": 0.8112, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4835 }, { "epoch": 0.6590351594439902, "grad_norm": 0.271484375, "learning_rate": 6.282773131224752e-06, "loss": 0.6738, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4836 }, { "epoch": 0.6591714363586808, "grad_norm": 0.3046875, "learning_rate": 6.278356653565771e-06, "loss": 0.7421, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4837 }, { "epoch": 0.6593077132733715, "grad_norm": 0.33203125, "learning_rate": 6.273941018371836e-06, "loss": 0.6813, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4838 }, { "epoch": 0.6594439901880621, "grad_norm": 0.296875, "learning_rate": 6.269526226642522e-06, "loss": 0.7085, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4839 }, { "epoch": 0.6595802671027527, "grad_norm": 0.244140625, "learning_rate": 6.265112279377191e-06, "loss": 0.6838, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4840 }, { "epoch": 0.6597165440174434, "grad_norm": 0.44140625, "learning_rate": 6.260699177575034e-06, "loss": 0.6876, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4841 }, { "epoch": 0.659852820932134, "grad_norm": 0.2734375, "learning_rate": 6.256286922235035e-06, "loss": 0.6994, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4842 }, { "epoch": 0.6599890978468248, "grad_norm": 0.333984375, "learning_rate": 6.251875514355989e-06, "loss": 0.6516, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4843 }, { "epoch": 0.6601253747615154, "grad_norm": 0.375, "learning_rate": 6.247464954936511e-06, "loss": 0.7623, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4844 }, { "epoch": 0.6602616516762061, "grad_norm": 0.4296875, "learning_rate": 6.243055244975007e-06, "loss": 0.6814, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4845 }, { "epoch": 0.6603979285908967, "grad_norm": 0.25390625, "learning_rate": 6.238646385469704e-06, "loss": 0.7103, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4846 }, { "epoch": 0.6605342055055874, "grad_norm": 0.314453125, "learning_rate": 6.234238377418632e-06, "loss": 0.745, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4847 }, { "epoch": 0.660670482420278, "grad_norm": 0.3671875, "learning_rate": 6.229831221819624e-06, "loss": 0.7768, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4848 }, { "epoch": 0.6608067593349687, "grad_norm": 0.482421875, "learning_rate": 6.225424919670328e-06, "loss": 0.7563, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4849 }, { "epoch": 0.6609430362496593, "grad_norm": 0.306640625, "learning_rate": 6.2210194719681945e-06, "loss": 0.6841, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4850 }, { "epoch": 0.66107931316435, "grad_norm": 0.248046875, "learning_rate": 6.2166148797104745e-06, "loss": 0.6691, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4851 }, { "epoch": 0.6612155900790406, "grad_norm": 0.34375, "learning_rate": 6.21221114389424e-06, "loss": 0.7132, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4852 }, { "epoch": 0.6613518669937313, "grad_norm": 0.30078125, "learning_rate": 6.207808265516357e-06, "loss": 0.7199, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4853 }, { "epoch": 0.6614881439084219, "grad_norm": 0.3828125, "learning_rate": 6.2034062455734975e-06, "loss": 0.7702, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4854 }, { "epoch": 0.6616244208231126, "grad_norm": 0.34375, "learning_rate": 6.199005085062151e-06, "loss": 0.7653, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4855 }, { "epoch": 0.6617606977378032, "grad_norm": 0.333984375, "learning_rate": 6.194604784978597e-06, "loss": 0.6715, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4856 }, { "epoch": 0.6618969746524939, "grad_norm": 0.57421875, "learning_rate": 6.190205346318927e-06, "loss": 0.7562, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4857 }, { "epoch": 0.6620332515671845, "grad_norm": 0.259765625, "learning_rate": 6.185806770079046e-06, "loss": 0.6494, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4858 }, { "epoch": 0.6621695284818752, "grad_norm": 0.27734375, "learning_rate": 6.181409057254646e-06, "loss": 0.7166, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4859 }, { "epoch": 0.6623058053965658, "grad_norm": 0.30859375, "learning_rate": 6.17701220884124e-06, "loss": 0.686, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4860 }, { "epoch": 0.6624420823112565, "grad_norm": 0.267578125, "learning_rate": 6.1726162258341384e-06, "loss": 0.6834, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4861 }, { "epoch": 0.6625783592259471, "grad_norm": 0.28125, "learning_rate": 6.16822110922845e-06, "loss": 0.6669, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4862 }, { "epoch": 0.6627146361406377, "grad_norm": 0.3984375, "learning_rate": 6.163826860019101e-06, "loss": 0.7137, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4863 }, { "epoch": 0.6628509130553284, "grad_norm": 0.353515625, "learning_rate": 6.15943347920081e-06, "loss": 0.6751, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4864 }, { "epoch": 0.662987189970019, "grad_norm": 0.39453125, "learning_rate": 6.1550409677681e-06, "loss": 0.7631, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4865 }, { "epoch": 0.6631234668847097, "grad_norm": 0.2578125, "learning_rate": 6.150649326715305e-06, "loss": 0.6521, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4866 }, { "epoch": 0.6632597437994003, "grad_norm": 0.3515625, "learning_rate": 6.1462585570365506e-06, "loss": 0.717, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4867 }, { "epoch": 0.663396020714091, "grad_norm": 0.345703125, "learning_rate": 6.1418686597257805e-06, "loss": 0.6649, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4868 }, { "epoch": 0.6635322976287816, "grad_norm": 0.294921875, "learning_rate": 6.137479635776727e-06, "loss": 0.7065, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4869 }, { "epoch": 0.6636685745434724, "grad_norm": 0.283203125, "learning_rate": 6.133091486182923e-06, "loss": 0.6799, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4870 }, { "epoch": 0.663804851458163, "grad_norm": 0.2451171875, "learning_rate": 6.12870421193772e-06, "loss": 0.6748, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4871 }, { "epoch": 0.6639411283728537, "grad_norm": 0.279296875, "learning_rate": 6.124317814034256e-06, "loss": 0.7242, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4872 }, { "epoch": 0.6640774052875443, "grad_norm": 0.28125, "learning_rate": 6.119932293465478e-06, "loss": 0.6939, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4873 }, { "epoch": 0.664213682202235, "grad_norm": 0.306640625, "learning_rate": 6.115547651224131e-06, "loss": 0.7388, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4874 }, { "epoch": 0.6643499591169256, "grad_norm": 0.333984375, "learning_rate": 6.111163888302765e-06, "loss": 0.7915, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4875 }, { "epoch": 0.6644862360316163, "grad_norm": 0.271484375, "learning_rate": 6.106781005693723e-06, "loss": 0.7057, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4876 }, { "epoch": 0.6646225129463069, "grad_norm": 0.30078125, "learning_rate": 6.102399004389161e-06, "loss": 0.6674, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4877 }, { "epoch": 0.6647587898609976, "grad_norm": 0.322265625, "learning_rate": 6.098017885381021e-06, "loss": 0.6926, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4878 }, { "epoch": 0.6648950667756882, "grad_norm": 0.33984375, "learning_rate": 6.093637649661062e-06, "loss": 0.755, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4879 }, { "epoch": 0.6650313436903789, "grad_norm": 0.2314453125, "learning_rate": 6.08925829822083e-06, "loss": 0.6805, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4880 }, { "epoch": 0.6651676206050695, "grad_norm": 0.267578125, "learning_rate": 6.084879832051669e-06, "loss": 0.7193, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4881 }, { "epoch": 0.6653038975197602, "grad_norm": 0.2578125, "learning_rate": 6.080502252144739e-06, "loss": 0.6756, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4882 }, { "epoch": 0.6654401744344508, "grad_norm": 0.3046875, "learning_rate": 6.07612555949098e-06, "loss": 0.7348, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4883 }, { "epoch": 0.6655764513491415, "grad_norm": 0.314453125, "learning_rate": 6.071749755081144e-06, "loss": 0.715, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4884 }, { "epoch": 0.6657127282638321, "grad_norm": 0.310546875, "learning_rate": 6.0673748399057785e-06, "loss": 0.7141, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4885 }, { "epoch": 0.6658490051785227, "grad_norm": 0.330078125, "learning_rate": 6.063000814955229e-06, "loss": 0.712, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4886 }, { "epoch": 0.6659852820932134, "grad_norm": 0.333984375, "learning_rate": 6.0586276812196355e-06, "loss": 0.6862, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4887 }, { "epoch": 0.666121559007904, "grad_norm": 0.302734375, "learning_rate": 6.054255439688947e-06, "loss": 0.8159, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4888 }, { "epoch": 0.6662578359225947, "grad_norm": 0.322265625, "learning_rate": 6.049884091352895e-06, "loss": 0.7027, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4889 }, { "epoch": 0.6663941128372853, "grad_norm": 0.390625, "learning_rate": 6.045513637201028e-06, "loss": 0.7208, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4890 }, { "epoch": 0.666530389751976, "grad_norm": 0.4921875, "learning_rate": 6.041144078222678e-06, "loss": 0.6965, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4891 }, { "epoch": 0.6666666666666666, "grad_norm": 0.291015625, "learning_rate": 6.036775415406971e-06, "loss": 0.6558, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4892 }, { "epoch": 0.6668029435813573, "grad_norm": 0.302734375, "learning_rate": 6.032407649742849e-06, "loss": 0.7197, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4893 }, { "epoch": 0.6669392204960479, "grad_norm": 0.330078125, "learning_rate": 6.028040782219031e-06, "loss": 0.6945, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4894 }, { "epoch": 0.6670754974107386, "grad_norm": 0.404296875, "learning_rate": 6.023674813824041e-06, "loss": 0.7513, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4895 }, { "epoch": 0.6672117743254292, "grad_norm": 0.30859375, "learning_rate": 6.019309745546204e-06, "loss": 0.7814, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4896 }, { "epoch": 0.66734805124012, "grad_norm": 0.27734375, "learning_rate": 6.014945578373632e-06, "loss": 0.6465, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4897 }, { "epoch": 0.6674843281548106, "grad_norm": 0.34375, "learning_rate": 6.010582313294242e-06, "loss": 0.7927, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4898 }, { "epoch": 0.6676206050695013, "grad_norm": 0.353515625, "learning_rate": 6.00621995129574e-06, "loss": 0.7137, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4899 }, { "epoch": 0.6677568819841919, "grad_norm": 0.3671875, "learning_rate": 6.001858493365626e-06, "loss": 0.7286, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4900 }, { "epoch": 0.6678931588988826, "grad_norm": 0.341796875, "learning_rate": 5.997497940491208e-06, "loss": 0.716, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4901 }, { "epoch": 0.6680294358135732, "grad_norm": 0.35546875, "learning_rate": 5.993138293659576e-06, "loss": 0.7266, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4902 }, { "epoch": 0.6681657127282639, "grad_norm": 0.318359375, "learning_rate": 5.988779553857616e-06, "loss": 0.6839, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4903 }, { "epoch": 0.6683019896429545, "grad_norm": 0.396484375, "learning_rate": 5.984421722072018e-06, "loss": 0.6918, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4904 }, { "epoch": 0.6684382665576452, "grad_norm": 0.375, "learning_rate": 5.980064799289257e-06, "loss": 0.728, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4905 }, { "epoch": 0.6685745434723358, "grad_norm": 0.298828125, "learning_rate": 5.975708786495603e-06, "loss": 0.6719, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4906 }, { "epoch": 0.6687108203870265, "grad_norm": 0.35546875, "learning_rate": 5.97135368467713e-06, "loss": 0.7209, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4907 }, { "epoch": 0.6688470973017171, "grad_norm": 0.34375, "learning_rate": 5.96699949481969e-06, "loss": 0.7902, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4908 }, { "epoch": 0.6689833742164077, "grad_norm": 0.298828125, "learning_rate": 5.962646217908945e-06, "loss": 0.6938, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4909 }, { "epoch": 0.6691196511310984, "grad_norm": 0.30859375, "learning_rate": 5.958293854930338e-06, "loss": 0.6867, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4910 }, { "epoch": 0.669255928045789, "grad_norm": 0.27734375, "learning_rate": 5.95394240686911e-06, "loss": 0.6634, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4911 }, { "epoch": 0.6693922049604797, "grad_norm": 0.279296875, "learning_rate": 5.9495918747102944e-06, "loss": 0.6783, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4912 }, { "epoch": 0.6695284818751703, "grad_norm": 0.21875, "learning_rate": 5.945242259438719e-06, "loss": 0.6435, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4913 }, { "epoch": 0.669664758789861, "grad_norm": 0.376953125, "learning_rate": 5.9408935620389986e-06, "loss": 0.7026, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4914 }, { "epoch": 0.6698010357045516, "grad_norm": 0.33203125, "learning_rate": 5.9365457834955486e-06, "loss": 0.7172, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4915 }, { "epoch": 0.6699373126192423, "grad_norm": 0.26953125, "learning_rate": 5.932198924792565e-06, "loss": 0.7011, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4916 }, { "epoch": 0.6700735895339329, "grad_norm": 0.28125, "learning_rate": 5.927852986914051e-06, "loss": 0.7527, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4917 }, { "epoch": 0.6702098664486236, "grad_norm": 0.326171875, "learning_rate": 5.92350797084379e-06, "loss": 0.7085, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4918 }, { "epoch": 0.6703461433633142, "grad_norm": 0.365234375, "learning_rate": 5.919163877565351e-06, "loss": 0.7147, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4919 }, { "epoch": 0.6704824202780049, "grad_norm": 0.27734375, "learning_rate": 5.914820708062114e-06, "loss": 0.695, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4920 }, { "epoch": 0.6706186971926955, "grad_norm": 0.271484375, "learning_rate": 5.910478463317233e-06, "loss": 0.7489, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4921 }, { "epoch": 0.6707549741073862, "grad_norm": 0.3828125, "learning_rate": 5.906137144313655e-06, "loss": 0.7401, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4922 }, { "epoch": 0.6708912510220768, "grad_norm": 0.330078125, "learning_rate": 5.901796752034128e-06, "loss": 0.7033, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4923 }, { "epoch": 0.6710275279367676, "grad_norm": 0.39453125, "learning_rate": 5.897457287461174e-06, "loss": 0.6775, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4924 }, { "epoch": 0.6711638048514582, "grad_norm": 0.3671875, "learning_rate": 5.89311875157712e-06, "loss": 0.7595, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4925 }, { "epoch": 0.6713000817661489, "grad_norm": 0.263671875, "learning_rate": 5.888781145364078e-06, "loss": 0.7304, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4926 }, { "epoch": 0.6714363586808395, "grad_norm": 0.263671875, "learning_rate": 5.884444469803939e-06, "loss": 0.6866, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4927 }, { "epoch": 0.6715726355955302, "grad_norm": 0.427734375, "learning_rate": 5.880108725878403e-06, "loss": 0.8322, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4928 }, { "epoch": 0.6717089125102208, "grad_norm": 0.314453125, "learning_rate": 5.875773914568943e-06, "loss": 0.6788, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4929 }, { "epoch": 0.6718451894249114, "grad_norm": 0.275390625, "learning_rate": 5.871440036856824e-06, "loss": 0.7152, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4930 }, { "epoch": 0.6719814663396021, "grad_norm": 0.25390625, "learning_rate": 5.867107093723108e-06, "loss": 0.6668, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4931 }, { "epoch": 0.6721177432542927, "grad_norm": 0.365234375, "learning_rate": 5.862775086148638e-06, "loss": 0.7227, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4932 }, { "epoch": 0.6722540201689834, "grad_norm": 0.294921875, "learning_rate": 5.858444015114038e-06, "loss": 0.7389, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4933 }, { "epoch": 0.672390297083674, "grad_norm": 0.27734375, "learning_rate": 5.854113881599741e-06, "loss": 0.7647, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4934 }, { "epoch": 0.6725265739983647, "grad_norm": 0.287109375, "learning_rate": 5.849784686585949e-06, "loss": 0.7017, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4935 }, { "epoch": 0.6726628509130553, "grad_norm": 0.419921875, "learning_rate": 5.8454564310526586e-06, "loss": 0.6428, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4936 }, { "epoch": 0.672799127827746, "grad_norm": 0.337890625, "learning_rate": 5.841129115979653e-06, "loss": 0.7443, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4937 }, { "epoch": 0.6729354047424366, "grad_norm": 0.271484375, "learning_rate": 5.836802742346502e-06, "loss": 0.7065, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4938 }, { "epoch": 0.6730716816571273, "grad_norm": 0.2890625, "learning_rate": 5.832477311132565e-06, "loss": 0.6859, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4939 }, { "epoch": 0.6732079585718179, "grad_norm": 0.3984375, "learning_rate": 5.82815282331699e-06, "loss": 0.6977, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4940 }, { "epoch": 0.6733442354865086, "grad_norm": 0.5078125, "learning_rate": 5.823829279878693e-06, "loss": 0.739, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4941 }, { "epoch": 0.6734805124011992, "grad_norm": 0.306640625, "learning_rate": 5.81950668179641e-06, "loss": 0.7256, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4942 }, { "epoch": 0.6736167893158899, "grad_norm": 0.326171875, "learning_rate": 5.815185030048626e-06, "loss": 0.6985, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4943 }, { "epoch": 0.6737530662305805, "grad_norm": 0.330078125, "learning_rate": 5.810864325613641e-06, "loss": 0.7285, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4944 }, { "epoch": 0.6738893431452712, "grad_norm": 0.259765625, "learning_rate": 5.8065445694695235e-06, "loss": 0.7148, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4945 }, { "epoch": 0.6740256200599618, "grad_norm": 0.314453125, "learning_rate": 5.802225762594129e-06, "loss": 0.7222, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4946 }, { "epoch": 0.6741618969746525, "grad_norm": 0.296875, "learning_rate": 5.797907905965116e-06, "loss": 0.6986, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4947 }, { "epoch": 0.6742981738893431, "grad_norm": 0.25, "learning_rate": 5.793591000559903e-06, "loss": 0.6195, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4948 }, { "epoch": 0.6744344508040337, "grad_norm": 0.349609375, "learning_rate": 5.789275047355704e-06, "loss": 0.7274, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4949 }, { "epoch": 0.6745707277187244, "grad_norm": 0.33984375, "learning_rate": 5.78496004732952e-06, "loss": 0.7412, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4950 }, { "epoch": 0.6747070046334152, "grad_norm": 0.287109375, "learning_rate": 5.780646001458138e-06, "loss": 0.7453, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4951 }, { "epoch": 0.6748432815481058, "grad_norm": 0.4453125, "learning_rate": 5.776332910718111e-06, "loss": 0.7766, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4952 }, { "epoch": 0.6749795584627964, "grad_norm": 0.330078125, "learning_rate": 5.772020776085807e-06, "loss": 0.6733, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4953 }, { "epoch": 0.6751158353774871, "grad_norm": 0.3984375, "learning_rate": 5.767709598537347e-06, "loss": 0.7789, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4954 }, { "epoch": 0.6752521122921777, "grad_norm": 0.28515625, "learning_rate": 5.763399379048653e-06, "loss": 0.6896, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4955 }, { "epoch": 0.6753883892068684, "grad_norm": 0.294921875, "learning_rate": 5.759090118595425e-06, "loss": 0.7052, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4956 }, { "epoch": 0.675524666121559, "grad_norm": 0.2451171875, "learning_rate": 5.7547818181531455e-06, "loss": 0.6705, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4957 }, { "epoch": 0.6756609430362497, "grad_norm": 0.609375, "learning_rate": 5.750474478697084e-06, "loss": 0.6981, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4958 }, { "epoch": 0.6757972199509403, "grad_norm": 0.3359375, "learning_rate": 5.746168101202285e-06, "loss": 0.7713, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4959 }, { "epoch": 0.675933496865631, "grad_norm": 0.3125, "learning_rate": 5.741862686643582e-06, "loss": 0.7146, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4960 }, { "epoch": 0.6760697737803216, "grad_norm": 0.58984375, "learning_rate": 5.737558235995586e-06, "loss": 0.7625, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4961 }, { "epoch": 0.6762060506950123, "grad_norm": 0.318359375, "learning_rate": 5.733254750232697e-06, "loss": 0.7785, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4962 }, { "epoch": 0.6763423276097029, "grad_norm": 0.30859375, "learning_rate": 5.728952230329079e-06, "loss": 0.6578, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4963 }, { "epoch": 0.6764786045243936, "grad_norm": 0.27734375, "learning_rate": 5.724650677258705e-06, "loss": 0.6431, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4964 }, { "epoch": 0.6766148814390842, "grad_norm": 0.376953125, "learning_rate": 5.720350091995298e-06, "loss": 0.7271, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4965 }, { "epoch": 0.6767511583537749, "grad_norm": 0.388671875, "learning_rate": 5.716050475512393e-06, "loss": 0.7344, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4966 }, { "epoch": 0.6768874352684655, "grad_norm": 0.375, "learning_rate": 5.7117518287832804e-06, "loss": 0.6738, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4967 }, { "epoch": 0.6770237121831562, "grad_norm": 0.359375, "learning_rate": 5.707454152781042e-06, "loss": 0.7797, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4968 }, { "epoch": 0.6771599890978468, "grad_norm": 0.46484375, "learning_rate": 5.703157448478542e-06, "loss": 0.7111, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4969 }, { "epoch": 0.6772962660125375, "grad_norm": 0.486328125, "learning_rate": 5.698861716848418e-06, "loss": 0.7821, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4970 }, { "epoch": 0.6774325429272281, "grad_norm": 0.328125, "learning_rate": 5.694566958863095e-06, "loss": 0.7178, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4971 }, { "epoch": 0.6775688198419187, "grad_norm": 0.373046875, "learning_rate": 5.690273175494769e-06, "loss": 0.793, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4972 }, { "epoch": 0.6777050967566094, "grad_norm": 0.33203125, "learning_rate": 5.685980367715427e-06, "loss": 0.6398, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4973 }, { "epoch": 0.6778413736713, "grad_norm": 0.2216796875, "learning_rate": 5.6816885364968146e-06, "loss": 0.6582, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4974 }, { "epoch": 0.6779776505859907, "grad_norm": 0.2431640625, "learning_rate": 5.677397682810486e-06, "loss": 0.7259, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4975 }, { "epoch": 0.6781139275006813, "grad_norm": 0.291015625, "learning_rate": 5.673107807627742e-06, "loss": 0.7332, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4976 }, { "epoch": 0.678250204415372, "grad_norm": 0.33984375, "learning_rate": 5.668818911919696e-06, "loss": 0.6958, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4977 }, { "epoch": 0.6783864813300627, "grad_norm": 0.353515625, "learning_rate": 5.664530996657205e-06, "loss": 0.7783, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4978 }, { "epoch": 0.6785227582447534, "grad_norm": 0.33203125, "learning_rate": 5.660244062810928e-06, "loss": 0.7147, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4979 }, { "epoch": 0.678659035159444, "grad_norm": 0.3125, "learning_rate": 5.655958111351294e-06, "loss": 0.7279, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4980 }, { "epoch": 0.6787953120741347, "grad_norm": 0.294921875, "learning_rate": 5.651673143248509e-06, "loss": 0.7719, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4981 }, { "epoch": 0.6789315889888253, "grad_norm": 0.302734375, "learning_rate": 5.647389159472556e-06, "loss": 0.7228, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4982 }, { "epoch": 0.679067865903516, "grad_norm": 0.287109375, "learning_rate": 5.643106160993199e-06, "loss": 0.7127, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4983 }, { "epoch": 0.6792041428182066, "grad_norm": 0.28515625, "learning_rate": 5.63882414877998e-06, "loss": 0.6745, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4984 }, { "epoch": 0.6793404197328973, "grad_norm": 0.330078125, "learning_rate": 5.634543123802201e-06, "loss": 0.726, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4985 }, { "epoch": 0.6794766966475879, "grad_norm": 0.48046875, "learning_rate": 5.630263087028971e-06, "loss": 0.703, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4986 }, { "epoch": 0.6796129735622786, "grad_norm": 0.47265625, "learning_rate": 5.625984039429142e-06, "loss": 0.6702, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4987 }, { "epoch": 0.6797492504769692, "grad_norm": 0.2578125, "learning_rate": 5.621705981971375e-06, "loss": 0.6957, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4988 }, { "epoch": 0.6798855273916599, "grad_norm": 0.388671875, "learning_rate": 5.617428915624075e-06, "loss": 0.712, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4989 }, { "epoch": 0.6800218043063505, "grad_norm": 0.283203125, "learning_rate": 5.613152841355445e-06, "loss": 0.7337, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4990 }, { "epoch": 0.6801580812210412, "grad_norm": 0.26953125, "learning_rate": 5.608877760133453e-06, "loss": 0.7343, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4991 }, { "epoch": 0.6802943581357318, "grad_norm": 0.265625, "learning_rate": 5.604603672925852e-06, "loss": 0.6706, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4992 }, { "epoch": 0.6804306350504224, "grad_norm": 0.453125, "learning_rate": 5.600330580700151e-06, "loss": 0.7362, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4993 }, { "epoch": 0.6805669119651131, "grad_norm": 0.67578125, "learning_rate": 5.5960584844236565e-06, "loss": 0.757, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4994 }, { "epoch": 0.6807031888798037, "grad_norm": 0.287109375, "learning_rate": 5.591787385063437e-06, "loss": 0.7022, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4995 }, { "epoch": 0.6808394657944944, "grad_norm": 0.2734375, "learning_rate": 5.587517283586334e-06, "loss": 0.6961, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4996 }, { "epoch": 0.680975742709185, "grad_norm": 0.416015625, "learning_rate": 5.5832481809589735e-06, "loss": 0.7275, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4997 }, { "epoch": 0.6811120196238757, "grad_norm": 0.263671875, "learning_rate": 5.5789800781477355e-06, "loss": 0.6585, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4998 }, { "epoch": 0.6812482965385663, "grad_norm": 0.921875, "learning_rate": 5.574712976118804e-06, "loss": 0.7267, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 4999 }, { "epoch": 0.681384573453257, "grad_norm": 0.3984375, "learning_rate": 5.570446875838104e-06, "loss": 0.7747, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5000 }, { "epoch": 0.6815208503679476, "grad_norm": 0.34375, "learning_rate": 5.566181778271355e-06, "loss": 0.6648, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5001 }, { "epoch": 0.6816571272826383, "grad_norm": 0.45703125, "learning_rate": 5.561917684384045e-06, "loss": 0.7266, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5002 }, { "epoch": 0.6817934041973289, "grad_norm": 0.2734375, "learning_rate": 5.557654595141433e-06, "loss": 0.677, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5003 }, { "epoch": 0.6819296811120196, "grad_norm": 0.376953125, "learning_rate": 5.553392511508542e-06, "loss": 0.7294, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5004 }, { "epoch": 0.6820659580267103, "grad_norm": 0.302734375, "learning_rate": 5.549131434450189e-06, "loss": 0.7148, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5005 }, { "epoch": 0.682202234941401, "grad_norm": 0.44921875, "learning_rate": 5.5448713649309374e-06, "loss": 0.6353, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5006 }, { "epoch": 0.6823385118560916, "grad_norm": 0.5625, "learning_rate": 5.540612303915148e-06, "loss": 0.6883, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5007 }, { "epoch": 0.6824747887707823, "grad_norm": 0.29296875, "learning_rate": 5.536354252366931e-06, "loss": 0.8086, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5008 }, { "epoch": 0.6826110656854729, "grad_norm": 0.287109375, "learning_rate": 5.532097211250182e-06, "loss": 0.7724, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5009 }, { "epoch": 0.6827473426001636, "grad_norm": 0.2578125, "learning_rate": 5.527841181528561e-06, "loss": 0.7422, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5010 }, { "epoch": 0.6828836195148542, "grad_norm": 0.34375, "learning_rate": 5.523586164165505e-06, "loss": 0.7315, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5011 }, { "epoch": 0.6830198964295449, "grad_norm": 0.326171875, "learning_rate": 5.519332160124215e-06, "loss": 0.6515, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5012 }, { "epoch": 0.6831561733442355, "grad_norm": 0.326171875, "learning_rate": 5.5150791703676694e-06, "loss": 0.7188, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5013 }, { "epoch": 0.6832924502589262, "grad_norm": 0.310546875, "learning_rate": 5.510827195858612e-06, "loss": 0.7232, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5014 }, { "epoch": 0.6834287271736168, "grad_norm": 0.32421875, "learning_rate": 5.506576237559558e-06, "loss": 0.664, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5015 }, { "epoch": 0.6835650040883074, "grad_norm": 0.314453125, "learning_rate": 5.502326296432796e-06, "loss": 0.8007, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5016 }, { "epoch": 0.6837012810029981, "grad_norm": 0.42578125, "learning_rate": 5.498077373440372e-06, "loss": 0.6281, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5017 }, { "epoch": 0.6838375579176887, "grad_norm": 0.388671875, "learning_rate": 5.493829469544125e-06, "loss": 0.7155, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5018 }, { "epoch": 0.6839738348323794, "grad_norm": 0.375, "learning_rate": 5.489582585705639e-06, "loss": 0.7893, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5019 }, { "epoch": 0.68411011174707, "grad_norm": 0.33203125, "learning_rate": 5.48533672288628e-06, "loss": 0.6937, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5020 }, { "epoch": 0.6842463886617607, "grad_norm": 0.3125, "learning_rate": 5.4810918820471805e-06, "loss": 0.7048, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5021 }, { "epoch": 0.6843826655764513, "grad_norm": 0.287109375, "learning_rate": 5.476848064149239e-06, "loss": 0.6963, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5022 }, { "epoch": 0.684518942491142, "grad_norm": 0.33203125, "learning_rate": 5.472605270153128e-06, "loss": 0.7255, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5023 }, { "epoch": 0.6846552194058326, "grad_norm": 0.326171875, "learning_rate": 5.468363501019285e-06, "loss": 0.7245, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5024 }, { "epoch": 0.6847914963205233, "grad_norm": 0.318359375, "learning_rate": 5.464122757707912e-06, "loss": 0.6407, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5025 }, { "epoch": 0.6849277732352139, "grad_norm": 0.263671875, "learning_rate": 5.459883041178986e-06, "loss": 0.6532, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5026 }, { "epoch": 0.6850640501499046, "grad_norm": 0.369140625, "learning_rate": 5.455644352392249e-06, "loss": 0.6571, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5027 }, { "epoch": 0.6852003270645952, "grad_norm": 0.251953125, "learning_rate": 5.4514066923071995e-06, "loss": 0.6992, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5028 }, { "epoch": 0.6853366039792859, "grad_norm": 0.431640625, "learning_rate": 5.4471700618831266e-06, "loss": 0.6962, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5029 }, { "epoch": 0.6854728808939765, "grad_norm": 0.439453125, "learning_rate": 5.442934462079063e-06, "loss": 0.7488, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5030 }, { "epoch": 0.6856091578086672, "grad_norm": 0.328125, "learning_rate": 5.438699893853818e-06, "loss": 0.7485, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5031 }, { "epoch": 0.6857454347233579, "grad_norm": 0.373046875, "learning_rate": 5.434466358165971e-06, "loss": 0.7005, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5032 }, { "epoch": 0.6858817116380486, "grad_norm": 0.3359375, "learning_rate": 5.430233855973862e-06, "loss": 0.7621, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5033 }, { "epoch": 0.6860179885527392, "grad_norm": 0.34375, "learning_rate": 5.426002388235598e-06, "loss": 0.7212, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5034 }, { "epoch": 0.6861542654674299, "grad_norm": 0.267578125, "learning_rate": 5.421771955909054e-06, "loss": 0.7057, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5035 }, { "epoch": 0.6862905423821205, "grad_norm": 0.267578125, "learning_rate": 5.417542559951867e-06, "loss": 0.6772, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5036 }, { "epoch": 0.6864268192968112, "grad_norm": 0.349609375, "learning_rate": 5.413314201321444e-06, "loss": 0.6936, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5037 }, { "epoch": 0.6865630962115018, "grad_norm": 0.330078125, "learning_rate": 5.409086880974956e-06, "loss": 0.7311, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5038 }, { "epoch": 0.6866993731261924, "grad_norm": 0.27734375, "learning_rate": 5.404860599869328e-06, "loss": 0.7294, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5039 }, { "epoch": 0.6868356500408831, "grad_norm": 0.28515625, "learning_rate": 5.400635358961276e-06, "loss": 0.6743, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5040 }, { "epoch": 0.6869719269555737, "grad_norm": 0.2431640625, "learning_rate": 5.396411159207249e-06, "loss": 0.74, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5041 }, { "epoch": 0.6871082038702644, "grad_norm": 0.28515625, "learning_rate": 5.392188001563482e-06, "loss": 0.6697, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5042 }, { "epoch": 0.687244480784955, "grad_norm": 0.58203125, "learning_rate": 5.387965886985967e-06, "loss": 0.6516, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5043 }, { "epoch": 0.6873807576996457, "grad_norm": 0.31640625, "learning_rate": 5.3837448164304585e-06, "loss": 0.7512, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5044 }, { "epoch": 0.6875170346143363, "grad_norm": 0.384765625, "learning_rate": 5.379524790852477e-06, "loss": 0.6896, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5045 }, { "epoch": 0.687653311529027, "grad_norm": 0.267578125, "learning_rate": 5.375305811207308e-06, "loss": 0.6891, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5046 }, { "epoch": 0.6877895884437176, "grad_norm": 0.3359375, "learning_rate": 5.371087878449995e-06, "loss": 0.7082, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5047 }, { "epoch": 0.6879258653584083, "grad_norm": 0.271484375, "learning_rate": 5.3668709935353514e-06, "loss": 0.7346, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5048 }, { "epoch": 0.6880621422730989, "grad_norm": 0.396484375, "learning_rate": 5.362655157417948e-06, "loss": 0.7661, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5049 }, { "epoch": 0.6881984191877896, "grad_norm": 0.470703125, "learning_rate": 5.358440371052115e-06, "loss": 0.7877, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5050 }, { "epoch": 0.6883346961024802, "grad_norm": 0.322265625, "learning_rate": 5.35422663539196e-06, "loss": 0.7769, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5051 }, { "epoch": 0.6884709730171709, "grad_norm": 0.2734375, "learning_rate": 5.350013951391333e-06, "loss": 0.6453, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5052 }, { "epoch": 0.6886072499318615, "grad_norm": 0.28515625, "learning_rate": 5.3458023200038604e-06, "loss": 0.6532, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5053 }, { "epoch": 0.6887435268465522, "grad_norm": 0.26171875, "learning_rate": 5.341591742182923e-06, "loss": 0.7104, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5054 }, { "epoch": 0.6888798037612428, "grad_norm": 0.28515625, "learning_rate": 5.337382218881666e-06, "loss": 0.7254, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5055 }, { "epoch": 0.6890160806759335, "grad_norm": 0.400390625, "learning_rate": 5.333173751052998e-06, "loss": 0.7728, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5056 }, { "epoch": 0.6891523575906241, "grad_norm": 0.8828125, "learning_rate": 5.328966339649586e-06, "loss": 0.7087, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5057 }, { "epoch": 0.6892886345053147, "grad_norm": 0.28125, "learning_rate": 5.3247599856238485e-06, "loss": 0.6653, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5058 }, { "epoch": 0.6894249114200055, "grad_norm": 0.337890625, "learning_rate": 5.320554689927986e-06, "loss": 0.6904, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5059 }, { "epoch": 0.6895611883346962, "grad_norm": 0.3203125, "learning_rate": 5.316350453513948e-06, "loss": 0.7355, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5060 }, { "epoch": 0.6896974652493868, "grad_norm": 0.298828125, "learning_rate": 5.31214727733343e-06, "loss": 0.7524, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5061 }, { "epoch": 0.6898337421640774, "grad_norm": 0.34765625, "learning_rate": 5.307945162337918e-06, "loss": 0.7869, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5062 }, { "epoch": 0.6899700190787681, "grad_norm": 0.41015625, "learning_rate": 5.303744109478625e-06, "loss": 0.6756, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5063 }, { "epoch": 0.6901062959934587, "grad_norm": 0.283203125, "learning_rate": 5.2995441197065545e-06, "loss": 0.764, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5064 }, { "epoch": 0.6902425729081494, "grad_norm": 0.328125, "learning_rate": 5.295345193972445e-06, "loss": 0.7185, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5065 }, { "epoch": 0.69037884982284, "grad_norm": 0.279296875, "learning_rate": 5.291147333226806e-06, "loss": 0.675, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5066 }, { "epoch": 0.6905151267375307, "grad_norm": 0.365234375, "learning_rate": 5.2869505384199025e-06, "loss": 0.749, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5067 }, { "epoch": 0.6906514036522213, "grad_norm": 0.3046875, "learning_rate": 5.282754810501764e-06, "loss": 0.7854, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5068 }, { "epoch": 0.690787680566912, "grad_norm": 0.35546875, "learning_rate": 5.278560150422163e-06, "loss": 0.7291, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5069 }, { "epoch": 0.6909239574816026, "grad_norm": 0.265625, "learning_rate": 5.274366559130655e-06, "loss": 0.7184, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5070 }, { "epoch": 0.6910602343962933, "grad_norm": 0.3984375, "learning_rate": 5.270174037576528e-06, "loss": 0.7305, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5071 }, { "epoch": 0.6911965113109839, "grad_norm": 0.388671875, "learning_rate": 5.265982586708844e-06, "loss": 0.7945, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5072 }, { "epoch": 0.6913327882256746, "grad_norm": 0.38671875, "learning_rate": 5.2617922074764175e-06, "loss": 0.7067, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5073 }, { "epoch": 0.6914690651403652, "grad_norm": 0.4453125, "learning_rate": 5.257602900827821e-06, "loss": 0.7765, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5074 }, { "epoch": 0.6916053420550559, "grad_norm": 0.3359375, "learning_rate": 5.253414667711383e-06, "loss": 0.6977, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5075 }, { "epoch": 0.6917416189697465, "grad_norm": 0.302734375, "learning_rate": 5.249227509075191e-06, "loss": 0.6646, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5076 }, { "epoch": 0.6918778958844372, "grad_norm": 0.8515625, "learning_rate": 5.245041425867088e-06, "loss": 0.7165, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5077 }, { "epoch": 0.6920141727991278, "grad_norm": 0.2470703125, "learning_rate": 5.2408564190346755e-06, "loss": 0.6918, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5078 }, { "epoch": 0.6921504497138184, "grad_norm": 0.27734375, "learning_rate": 5.236672489525312e-06, "loss": 0.7392, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5079 }, { "epoch": 0.6922867266285091, "grad_norm": 0.25, "learning_rate": 5.232489638286098e-06, "loss": 0.6219, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5080 }, { "epoch": 0.6924230035431997, "grad_norm": 0.279296875, "learning_rate": 5.228307866263918e-06, "loss": 0.7727, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5081 }, { "epoch": 0.6925592804578904, "grad_norm": 0.36328125, "learning_rate": 5.224127174405383e-06, "loss": 0.7117, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5082 }, { "epoch": 0.692695557372581, "grad_norm": 0.294921875, "learning_rate": 5.219947563656879e-06, "loss": 0.6196, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5083 }, { "epoch": 0.6928318342872717, "grad_norm": 0.314453125, "learning_rate": 5.215769034964539e-06, "loss": 0.7278, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5084 }, { "epoch": 0.6929681112019623, "grad_norm": 0.318359375, "learning_rate": 5.2115915892742516e-06, "loss": 0.7326, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5085 }, { "epoch": 0.6931043881166531, "grad_norm": 0.328125, "learning_rate": 5.2074152275316646e-06, "loss": 0.663, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5086 }, { "epoch": 0.6932406650313437, "grad_norm": 0.6796875, "learning_rate": 5.203239950682174e-06, "loss": 0.7566, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5087 }, { "epoch": 0.6933769419460344, "grad_norm": 0.470703125, "learning_rate": 5.199065759670935e-06, "loss": 0.7404, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5088 }, { "epoch": 0.693513218860725, "grad_norm": 0.37890625, "learning_rate": 5.194892655442856e-06, "loss": 0.6851, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5089 }, { "epoch": 0.6936494957754157, "grad_norm": 0.310546875, "learning_rate": 5.190720638942601e-06, "loss": 0.6591, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5090 }, { "epoch": 0.6937857726901063, "grad_norm": 0.291015625, "learning_rate": 5.1865497111145754e-06, "loss": 0.7045, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5091 }, { "epoch": 0.693922049604797, "grad_norm": 0.23046875, "learning_rate": 5.1823798729029655e-06, "loss": 0.6866, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5092 }, { "epoch": 0.6940583265194876, "grad_norm": 0.474609375, "learning_rate": 5.178211125251673e-06, "loss": 0.6823, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5093 }, { "epoch": 0.6941946034341783, "grad_norm": 0.451171875, "learning_rate": 5.174043469104395e-06, "loss": 0.6793, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5094 }, { "epoch": 0.6943308803488689, "grad_norm": 0.330078125, "learning_rate": 5.169876905404544e-06, "loss": 0.683, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5095 }, { "epoch": 0.6944671572635596, "grad_norm": 0.408203125, "learning_rate": 5.165711435095309e-06, "loss": 0.7305, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5096 }, { "epoch": 0.6946034341782502, "grad_norm": 0.42578125, "learning_rate": 5.161547059119619e-06, "loss": 0.7764, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5097 }, { "epoch": 0.6947397110929409, "grad_norm": 0.263671875, "learning_rate": 5.157383778420164e-06, "loss": 0.7196, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5098 }, { "epoch": 0.6948759880076315, "grad_norm": 0.28515625, "learning_rate": 5.1532215939393815e-06, "loss": 0.665, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5099 }, { "epoch": 0.6950122649223222, "grad_norm": 0.341796875, "learning_rate": 5.149060506619461e-06, "loss": 0.7169, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5100 }, { "epoch": 0.6951485418370128, "grad_norm": 0.33984375, "learning_rate": 5.144900517402347e-06, "loss": 0.7105, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5101 }, { "epoch": 0.6952848187517034, "grad_norm": 0.30078125, "learning_rate": 5.140741627229721e-06, "loss": 0.702, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5102 }, { "epoch": 0.6954210956663941, "grad_norm": 0.337890625, "learning_rate": 5.136583837043045e-06, "loss": 0.7483, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5103 }, { "epoch": 0.6955573725810847, "grad_norm": 0.263671875, "learning_rate": 5.132427147783497e-06, "loss": 0.6186, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5104 }, { "epoch": 0.6956936494957754, "grad_norm": 0.30859375, "learning_rate": 5.128271560392037e-06, "loss": 0.7224, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5105 }, { "epoch": 0.695829926410466, "grad_norm": 0.279296875, "learning_rate": 5.124117075809352e-06, "loss": 0.7543, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5106 }, { "epoch": 0.6959662033251567, "grad_norm": 0.2470703125, "learning_rate": 5.119963694975894e-06, "loss": 0.636, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5107 }, { "epoch": 0.6961024802398473, "grad_norm": 0.251953125, "learning_rate": 5.1158114188318566e-06, "loss": 0.6819, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5108 }, { "epoch": 0.696238757154538, "grad_norm": 0.26953125, "learning_rate": 5.11166024831719e-06, "loss": 0.7309, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5109 }, { "epoch": 0.6963750340692286, "grad_norm": 0.27734375, "learning_rate": 5.1075101843715894e-06, "loss": 0.6863, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5110 }, { "epoch": 0.6965113109839193, "grad_norm": 0.267578125, "learning_rate": 5.1033612279345e-06, "loss": 0.6857, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5111 }, { "epoch": 0.6966475878986099, "grad_norm": 0.251953125, "learning_rate": 5.099213379945118e-06, "loss": 0.643, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5112 }, { "epoch": 0.6967838648133007, "grad_norm": 0.345703125, "learning_rate": 5.095066641342391e-06, "loss": 0.8033, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5113 }, { "epoch": 0.6969201417279913, "grad_norm": 0.314453125, "learning_rate": 5.090921013065013e-06, "loss": 0.7069, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5114 }, { "epoch": 0.697056418642682, "grad_norm": 0.298828125, "learning_rate": 5.086776496051415e-06, "loss": 0.7355, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5115 }, { "epoch": 0.6971926955573726, "grad_norm": 0.33984375, "learning_rate": 5.082633091239804e-06, "loss": 0.7142, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5116 }, { "epoch": 0.6973289724720633, "grad_norm": 0.294921875, "learning_rate": 5.078490799568106e-06, "loss": 0.6923, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5117 }, { "epoch": 0.6974652493867539, "grad_norm": 0.345703125, "learning_rate": 5.074349621974013e-06, "loss": 0.7869, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5118 }, { "epoch": 0.6976015263014446, "grad_norm": 0.251953125, "learning_rate": 5.0702095593949586e-06, "loss": 0.6528, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5119 }, { "epoch": 0.6977378032161352, "grad_norm": 0.359375, "learning_rate": 5.06607061276813e-06, "loss": 0.6607, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5120 }, { "epoch": 0.6978740801308259, "grad_norm": 0.310546875, "learning_rate": 5.061932783030445e-06, "loss": 0.7146, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5121 }, { "epoch": 0.6980103570455165, "grad_norm": 0.310546875, "learning_rate": 5.057796071118595e-06, "loss": 0.7556, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5122 }, { "epoch": 0.6981466339602072, "grad_norm": 0.2890625, "learning_rate": 5.053660477968987e-06, "loss": 0.777, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5123 }, { "epoch": 0.6982829108748978, "grad_norm": 0.37890625, "learning_rate": 5.049526004517806e-06, "loss": 0.7043, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5124 }, { "epoch": 0.6984191877895884, "grad_norm": 0.265625, "learning_rate": 5.045392651700969e-06, "loss": 0.7274, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5125 }, { "epoch": 0.6985554647042791, "grad_norm": 0.333984375, "learning_rate": 5.041260420454126e-06, "loss": 0.7433, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5126 }, { "epoch": 0.6986917416189697, "grad_norm": 0.30859375, "learning_rate": 5.037129311712702e-06, "loss": 0.7103, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5127 }, { "epoch": 0.6988280185336604, "grad_norm": 0.345703125, "learning_rate": 5.03299932641184e-06, "loss": 0.6688, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5128 }, { "epoch": 0.698964295448351, "grad_norm": 0.458984375, "learning_rate": 5.028870465486449e-06, "loss": 0.6929, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5129 }, { "epoch": 0.6991005723630417, "grad_norm": 0.28125, "learning_rate": 5.0247427298711715e-06, "loss": 0.7291, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5130 }, { "epoch": 0.6992368492777323, "grad_norm": 0.298828125, "learning_rate": 5.020616120500404e-06, "loss": 0.656, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5131 }, { "epoch": 0.699373126192423, "grad_norm": 0.322265625, "learning_rate": 5.016490638308274e-06, "loss": 0.6969, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5132 }, { "epoch": 0.6995094031071136, "grad_norm": 0.23046875, "learning_rate": 5.012366284228673e-06, "loss": 0.6858, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5133 }, { "epoch": 0.6996456800218043, "grad_norm": 0.318359375, "learning_rate": 5.008243059195219e-06, "loss": 0.7708, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5134 }, { "epoch": 0.6997819569364949, "grad_norm": 0.330078125, "learning_rate": 5.004120964141295e-06, "loss": 0.7299, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5135 }, { "epoch": 0.6999182338511856, "grad_norm": 0.3515625, "learning_rate": 5.000000000000003e-06, "loss": 0.8186, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5136 }, { "epoch": 0.7000545107658762, "grad_norm": 0.291015625, "learning_rate": 4.995880167704207e-06, "loss": 0.633, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5137 }, { "epoch": 0.7001907876805669, "grad_norm": 0.291015625, "learning_rate": 4.991761468186509e-06, "loss": 0.7233, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5138 }, { "epoch": 0.7003270645952575, "grad_norm": 0.259765625, "learning_rate": 4.987643902379258e-06, "loss": 0.7305, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5139 }, { "epoch": 0.7004633415099483, "grad_norm": 0.25390625, "learning_rate": 4.98352747121454e-06, "loss": 0.6602, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5140 }, { "epoch": 0.7005996184246389, "grad_norm": 0.330078125, "learning_rate": 4.9794121756241895e-06, "loss": 0.7155, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5141 }, { "epoch": 0.7007358953393296, "grad_norm": 0.31640625, "learning_rate": 4.975298016539784e-06, "loss": 0.6626, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5142 }, { "epoch": 0.7008721722540202, "grad_norm": 0.26953125, "learning_rate": 4.971184994892638e-06, "loss": 0.7349, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5143 }, { "epoch": 0.7010084491687109, "grad_norm": 0.39453125, "learning_rate": 4.96707311161382e-06, "loss": 0.65, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5144 }, { "epoch": 0.7011447260834015, "grad_norm": 0.287109375, "learning_rate": 4.9629623676341195e-06, "loss": 0.713, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5145 }, { "epoch": 0.7012810029980922, "grad_norm": 0.30859375, "learning_rate": 4.9588527638841e-06, "loss": 0.6828, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5146 }, { "epoch": 0.7014172799127828, "grad_norm": 0.3046875, "learning_rate": 4.954744301294035e-06, "loss": 0.7449, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5147 }, { "epoch": 0.7015535568274734, "grad_norm": 0.3046875, "learning_rate": 4.950636980793956e-06, "loss": 0.6596, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5148 }, { "epoch": 0.7016898337421641, "grad_norm": 0.416015625, "learning_rate": 4.946530803313636e-06, "loss": 0.7201, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5149 }, { "epoch": 0.7018261106568547, "grad_norm": 0.29296875, "learning_rate": 4.9424257697825865e-06, "loss": 0.7138, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5150 }, { "epoch": 0.7019623875715454, "grad_norm": 0.255859375, "learning_rate": 4.938321881130059e-06, "loss": 0.7379, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5151 }, { "epoch": 0.702098664486236, "grad_norm": 0.328125, "learning_rate": 4.934219138285048e-06, "loss": 0.7699, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5152 }, { "epoch": 0.7022349414009267, "grad_norm": 0.32421875, "learning_rate": 4.930117542176287e-06, "loss": 0.7161, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5153 }, { "epoch": 0.7023712183156173, "grad_norm": 0.29296875, "learning_rate": 4.9260170937322515e-06, "loss": 0.6966, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5154 }, { "epoch": 0.702507495230308, "grad_norm": 0.423828125, "learning_rate": 4.92191779388116e-06, "loss": 0.7993, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5155 }, { "epoch": 0.7026437721449986, "grad_norm": 0.287109375, "learning_rate": 4.917819643550955e-06, "loss": 0.6452, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5156 }, { "epoch": 0.7027800490596893, "grad_norm": 0.3359375, "learning_rate": 4.913722643669348e-06, "loss": 0.6671, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5157 }, { "epoch": 0.7029163259743799, "grad_norm": 0.240234375, "learning_rate": 4.909626795163759e-06, "loss": 0.7012, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5158 }, { "epoch": 0.7030526028890706, "grad_norm": 0.30078125, "learning_rate": 4.905532098961367e-06, "loss": 0.7595, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5159 }, { "epoch": 0.7031888798037612, "grad_norm": 0.353515625, "learning_rate": 4.901438555989085e-06, "loss": 0.7566, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5160 }, { "epoch": 0.7033251567184519, "grad_norm": 0.349609375, "learning_rate": 4.8973461671735655e-06, "loss": 0.6804, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5161 }, { "epoch": 0.7034614336331425, "grad_norm": 0.322265625, "learning_rate": 4.8932549334411976e-06, "loss": 0.6689, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5162 }, { "epoch": 0.7035977105478332, "grad_norm": 0.35546875, "learning_rate": 4.889164855718109e-06, "loss": 0.7005, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5163 }, { "epoch": 0.7037339874625238, "grad_norm": 0.52734375, "learning_rate": 4.885075934930168e-06, "loss": 0.8221, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5164 }, { "epoch": 0.7038702643772144, "grad_norm": 0.3125, "learning_rate": 4.880988172002982e-06, "loss": 0.7929, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5165 }, { "epoch": 0.7040065412919051, "grad_norm": 0.33203125, "learning_rate": 4.876901567861893e-06, "loss": 0.7567, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5166 }, { "epoch": 0.7041428182065959, "grad_norm": 0.326171875, "learning_rate": 4.872816123431977e-06, "loss": 0.695, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5167 }, { "epoch": 0.7042790951212865, "grad_norm": 0.267578125, "learning_rate": 4.868731839638062e-06, "loss": 0.7126, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5168 }, { "epoch": 0.7044153720359771, "grad_norm": 0.296875, "learning_rate": 4.864648717404695e-06, "loss": 0.699, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5169 }, { "epoch": 0.7045516489506678, "grad_norm": 0.25, "learning_rate": 4.860566757656172e-06, "loss": 0.6958, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5170 }, { "epoch": 0.7046879258653584, "grad_norm": 0.9140625, "learning_rate": 4.856485961316523e-06, "loss": 0.7162, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5171 }, { "epoch": 0.7048242027800491, "grad_norm": 0.447265625, "learning_rate": 4.852406329309513e-06, "loss": 0.6898, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5172 }, { "epoch": 0.7049604796947397, "grad_norm": 0.328125, "learning_rate": 4.8483278625586465e-06, "loss": 0.7138, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5173 }, { "epoch": 0.7050967566094304, "grad_norm": 0.314453125, "learning_rate": 4.844250561987159e-06, "loss": 0.7282, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5174 }, { "epoch": 0.705233033524121, "grad_norm": 0.318359375, "learning_rate": 4.840174428518028e-06, "loss": 0.6698, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5175 }, { "epoch": 0.7053693104388117, "grad_norm": 0.31640625, "learning_rate": 4.836099463073966e-06, "loss": 0.7442, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5176 }, { "epoch": 0.7055055873535023, "grad_norm": 0.3359375, "learning_rate": 4.8320256665774175e-06, "loss": 0.7017, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5177 }, { "epoch": 0.705641864268193, "grad_norm": 0.259765625, "learning_rate": 4.827953039950558e-06, "loss": 0.6866, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5178 }, { "epoch": 0.7057781411828836, "grad_norm": 0.341796875, "learning_rate": 4.823881584115317e-06, "loss": 0.6763, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5179 }, { "epoch": 0.7059144180975743, "grad_norm": 0.306640625, "learning_rate": 4.8198112999933355e-06, "loss": 0.7163, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5180 }, { "epoch": 0.7060506950122649, "grad_norm": 1.125, "learning_rate": 4.815742188506004e-06, "loss": 0.6714, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5181 }, { "epoch": 0.7061869719269556, "grad_norm": 0.322265625, "learning_rate": 4.811674250574443e-06, "loss": 0.6615, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5182 }, { "epoch": 0.7063232488416462, "grad_norm": 0.2392578125, "learning_rate": 4.807607487119508e-06, "loss": 0.7109, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5183 }, { "epoch": 0.7064595257563369, "grad_norm": 0.3203125, "learning_rate": 4.803541899061789e-06, "loss": 0.7908, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5184 }, { "epoch": 0.7065958026710275, "grad_norm": 0.3359375, "learning_rate": 4.799477487321613e-06, "loss": 0.7211, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5185 }, { "epoch": 0.7067320795857182, "grad_norm": 0.322265625, "learning_rate": 4.795414252819026e-06, "loss": 0.717, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5186 }, { "epoch": 0.7068683565004088, "grad_norm": 0.30859375, "learning_rate": 4.791352196473834e-06, "loss": 0.6826, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5187 }, { "epoch": 0.7070046334150994, "grad_norm": 0.318359375, "learning_rate": 4.787291319205549e-06, "loss": 0.7162, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5188 }, { "epoch": 0.7071409103297901, "grad_norm": 0.328125, "learning_rate": 4.78323162193343e-06, "loss": 0.7086, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5189 }, { "epoch": 0.7072771872444807, "grad_norm": 0.298828125, "learning_rate": 4.7791731055764755e-06, "loss": 0.7016, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5190 }, { "epoch": 0.7074134641591714, "grad_norm": 0.375, "learning_rate": 4.775115771053396e-06, "loss": 0.7193, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5191 }, { "epoch": 0.707549741073862, "grad_norm": 0.287109375, "learning_rate": 4.77105961928266e-06, "loss": 0.6737, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5192 }, { "epoch": 0.7076860179885527, "grad_norm": 0.345703125, "learning_rate": 4.767004651182443e-06, "loss": 0.7636, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5193 }, { "epoch": 0.7078222949032434, "grad_norm": 0.375, "learning_rate": 4.76295086767067e-06, "loss": 0.7607, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5194 }, { "epoch": 0.7079585718179341, "grad_norm": 0.33203125, "learning_rate": 4.758898269664992e-06, "loss": 0.6876, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5195 }, { "epoch": 0.7080948487326247, "grad_norm": 0.296875, "learning_rate": 4.754846858082796e-06, "loss": 0.687, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5196 }, { "epoch": 0.7082311256473154, "grad_norm": 0.4296875, "learning_rate": 4.750796633841183e-06, "loss": 0.8329, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5197 }, { "epoch": 0.708367402562006, "grad_norm": 0.3125, "learning_rate": 4.746747597857014e-06, "loss": 0.7415, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5198 }, { "epoch": 0.7085036794766967, "grad_norm": 0.26171875, "learning_rate": 4.742699751046858e-06, "loss": 0.6685, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5199 }, { "epoch": 0.7086399563913873, "grad_norm": 0.271484375, "learning_rate": 4.738653094327021e-06, "loss": 0.6749, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5200 }, { "epoch": 0.708776233306078, "grad_norm": 0.41015625, "learning_rate": 4.7346076286135454e-06, "loss": 0.6819, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5201 }, { "epoch": 0.7089125102207686, "grad_norm": 0.25390625, "learning_rate": 4.730563354822197e-06, "loss": 0.6999, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5202 }, { "epoch": 0.7090487871354593, "grad_norm": 0.322265625, "learning_rate": 4.726520273868477e-06, "loss": 0.6598, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5203 }, { "epoch": 0.7091850640501499, "grad_norm": 0.279296875, "learning_rate": 4.7224783866676105e-06, "loss": 0.7052, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5204 }, { "epoch": 0.7093213409648406, "grad_norm": 0.2314453125, "learning_rate": 4.718437694134558e-06, "loss": 0.7202, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5205 }, { "epoch": 0.7094576178795312, "grad_norm": 0.314453125, "learning_rate": 4.714398197184007e-06, "loss": 0.6809, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5206 }, { "epoch": 0.7095938947942219, "grad_norm": 0.37109375, "learning_rate": 4.710359896730379e-06, "loss": 0.7416, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5207 }, { "epoch": 0.7097301717089125, "grad_norm": 0.265625, "learning_rate": 4.706322793687809e-06, "loss": 0.657, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5208 }, { "epoch": 0.7098664486236032, "grad_norm": 0.306640625, "learning_rate": 4.702286888970187e-06, "loss": 0.7195, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5209 }, { "epoch": 0.7100027255382938, "grad_norm": 0.3125, "learning_rate": 4.698252183491101e-06, "loss": 0.6686, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5210 }, { "epoch": 0.7101390024529844, "grad_norm": 0.31640625, "learning_rate": 4.694218678163901e-06, "loss": 0.7061, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5211 }, { "epoch": 0.7102752793676751, "grad_norm": 0.400390625, "learning_rate": 4.690186373901636e-06, "loss": 0.8222, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5212 }, { "epoch": 0.7104115562823657, "grad_norm": 0.29296875, "learning_rate": 4.6861552716170976e-06, "loss": 0.7738, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5213 }, { "epoch": 0.7105478331970564, "grad_norm": 0.3515625, "learning_rate": 4.682125372222804e-06, "loss": 0.8236, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5214 }, { "epoch": 0.710684110111747, "grad_norm": 0.3359375, "learning_rate": 4.678096676631e-06, "loss": 0.6974, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5215 }, { "epoch": 0.7108203870264377, "grad_norm": 0.291015625, "learning_rate": 4.674069185753657e-06, "loss": 0.7297, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5216 }, { "epoch": 0.7109566639411283, "grad_norm": 0.275390625, "learning_rate": 4.670042900502475e-06, "loss": 0.644, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5217 }, { "epoch": 0.711092940855819, "grad_norm": 0.298828125, "learning_rate": 4.666017821788884e-06, "loss": 0.7204, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5218 }, { "epoch": 0.7112292177705096, "grad_norm": 0.32421875, "learning_rate": 4.661993950524026e-06, "loss": 0.7585, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5219 }, { "epoch": 0.7113654946852003, "grad_norm": 0.28515625, "learning_rate": 4.657971287618796e-06, "loss": 0.6803, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5220 }, { "epoch": 0.711501771599891, "grad_norm": 0.31640625, "learning_rate": 4.6539498339837875e-06, "loss": 0.6942, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5221 }, { "epoch": 0.7116380485145817, "grad_norm": 0.287109375, "learning_rate": 4.649929590529347e-06, "loss": 0.7279, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5222 }, { "epoch": 0.7117743254292723, "grad_norm": 0.279296875, "learning_rate": 4.645910558165521e-06, "loss": 0.6737, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5223 }, { "epoch": 0.711910602343963, "grad_norm": 0.328125, "learning_rate": 4.6418927378020985e-06, "loss": 0.6949, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5224 }, { "epoch": 0.7120468792586536, "grad_norm": 0.384765625, "learning_rate": 4.637876130348591e-06, "loss": 0.8317, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5225 }, { "epoch": 0.7121831561733443, "grad_norm": 0.33203125, "learning_rate": 4.633860736714234e-06, "loss": 0.7315, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5226 }, { "epoch": 0.7123194330880349, "grad_norm": 0.25, "learning_rate": 4.629846557807988e-06, "loss": 0.7128, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5227 }, { "epoch": 0.7124557100027256, "grad_norm": 0.423828125, "learning_rate": 4.625833594538539e-06, "loss": 0.7547, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5228 }, { "epoch": 0.7125919869174162, "grad_norm": 0.33203125, "learning_rate": 4.621821847814298e-06, "loss": 0.7613, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5229 }, { "epoch": 0.7127282638321069, "grad_norm": 0.28515625, "learning_rate": 4.617811318543401e-06, "loss": 0.7337, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5230 }, { "epoch": 0.7128645407467975, "grad_norm": 0.33984375, "learning_rate": 4.613802007633712e-06, "loss": 0.7138, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5231 }, { "epoch": 0.7130008176614882, "grad_norm": 0.296875, "learning_rate": 4.609793915992803e-06, "loss": 0.7514, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5232 }, { "epoch": 0.7131370945761788, "grad_norm": 0.298828125, "learning_rate": 4.605787044527996e-06, "loss": 0.7539, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5233 }, { "epoch": 0.7132733714908694, "grad_norm": 0.302734375, "learning_rate": 4.601781394146314e-06, "loss": 0.7439, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5234 }, { "epoch": 0.7134096484055601, "grad_norm": 0.333984375, "learning_rate": 4.5977769657545145e-06, "loss": 0.7205, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5235 }, { "epoch": 0.7135459253202507, "grad_norm": 0.310546875, "learning_rate": 4.593773760259078e-06, "loss": 0.6938, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5236 }, { "epoch": 0.7136822022349414, "grad_norm": 0.232421875, "learning_rate": 4.589771778566205e-06, "loss": 0.7403, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5237 }, { "epoch": 0.713818479149632, "grad_norm": 0.33984375, "learning_rate": 4.585771021581819e-06, "loss": 0.7038, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5238 }, { "epoch": 0.7139547560643227, "grad_norm": 0.32421875, "learning_rate": 4.581771490211573e-06, "loss": 0.7213, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5239 }, { "epoch": 0.7140910329790133, "grad_norm": 0.330078125, "learning_rate": 4.577773185360832e-06, "loss": 0.6784, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5240 }, { "epoch": 0.714227309893704, "grad_norm": 0.263671875, "learning_rate": 4.573776107934691e-06, "loss": 0.6936, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5241 }, { "epoch": 0.7143635868083946, "grad_norm": 0.333984375, "learning_rate": 4.569780258837969e-06, "loss": 0.6683, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5242 }, { "epoch": 0.7144998637230853, "grad_norm": 0.25390625, "learning_rate": 4.56578563897519e-06, "loss": 0.6649, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5243 }, { "epoch": 0.7146361406377759, "grad_norm": 0.361328125, "learning_rate": 4.561792249250628e-06, "loss": 0.6615, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5244 }, { "epoch": 0.7147724175524666, "grad_norm": 0.2890625, "learning_rate": 4.557800090568253e-06, "loss": 0.6984, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5245 }, { "epoch": 0.7149086944671572, "grad_norm": 0.625, "learning_rate": 4.553809163831768e-06, "loss": 0.7675, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5246 }, { "epoch": 0.7150449713818479, "grad_norm": 0.33203125, "learning_rate": 4.549819469944598e-06, "loss": 0.6826, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5247 }, { "epoch": 0.7151812482965386, "grad_norm": 0.291015625, "learning_rate": 4.545831009809888e-06, "loss": 0.7425, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5248 }, { "epoch": 0.7153175252112293, "grad_norm": 0.29296875, "learning_rate": 4.541843784330492e-06, "loss": 0.6875, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5249 }, { "epoch": 0.7154538021259199, "grad_norm": 0.466796875, "learning_rate": 4.5378577944090095e-06, "loss": 0.7128, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5250 }, { "epoch": 0.7155900790406106, "grad_norm": 0.357421875, "learning_rate": 4.5338730409477294e-06, "loss": 0.6502, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5251 }, { "epoch": 0.7157263559553012, "grad_norm": 0.328125, "learning_rate": 4.529889524848694e-06, "loss": 0.7704, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5252 }, { "epoch": 0.7158626328699919, "grad_norm": 0.28515625, "learning_rate": 4.5259072470136346e-06, "loss": 0.7294, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5253 }, { "epoch": 0.7159989097846825, "grad_norm": 0.314453125, "learning_rate": 4.521926208344017e-06, "loss": 0.6884, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5254 }, { "epoch": 0.7161351866993731, "grad_norm": 0.322265625, "learning_rate": 4.5179464097410374e-06, "loss": 0.7398, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5255 }, { "epoch": 0.7162714636140638, "grad_norm": 0.3125, "learning_rate": 4.513967852105586e-06, "loss": 0.7345, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5256 }, { "epoch": 0.7164077405287544, "grad_norm": 0.265625, "learning_rate": 4.509990536338291e-06, "loss": 0.6938, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5257 }, { "epoch": 0.7165440174434451, "grad_norm": 0.271484375, "learning_rate": 4.506014463339492e-06, "loss": 0.725, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5258 }, { "epoch": 0.7166802943581357, "grad_norm": 0.244140625, "learning_rate": 4.502039634009251e-06, "loss": 0.734, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5259 }, { "epoch": 0.7168165712728264, "grad_norm": 0.298828125, "learning_rate": 4.498066049247344e-06, "loss": 0.6761, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5260 }, { "epoch": 0.716952848187517, "grad_norm": 0.33203125, "learning_rate": 4.494093709953274e-06, "loss": 0.7944, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5261 }, { "epoch": 0.7170891251022077, "grad_norm": 0.37109375, "learning_rate": 4.490122617026243e-06, "loss": 0.6951, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5262 }, { "epoch": 0.7172254020168983, "grad_norm": 0.302734375, "learning_rate": 4.486152771365201e-06, "loss": 0.747, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5263 }, { "epoch": 0.717361678931589, "grad_norm": 0.326171875, "learning_rate": 4.482184173868784e-06, "loss": 0.7471, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5264 }, { "epoch": 0.7174979558462796, "grad_norm": 0.318359375, "learning_rate": 4.4782168254353666e-06, "loss": 0.6859, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5265 }, { "epoch": 0.7176342327609703, "grad_norm": 0.298828125, "learning_rate": 4.474250726963031e-06, "loss": 0.6236, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5266 }, { "epoch": 0.7177705096756609, "grad_norm": 0.466796875, "learning_rate": 4.470285879349581e-06, "loss": 0.7013, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5267 }, { "epoch": 0.7179067865903516, "grad_norm": 0.318359375, "learning_rate": 4.466322283492536e-06, "loss": 0.7708, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5268 }, { "epoch": 0.7180430635050422, "grad_norm": 0.310546875, "learning_rate": 4.46235994028913e-06, "loss": 0.7504, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5269 }, { "epoch": 0.7181793404197329, "grad_norm": 0.314453125, "learning_rate": 4.458398850636316e-06, "loss": 0.7322, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5270 }, { "epoch": 0.7183156173344235, "grad_norm": 0.376953125, "learning_rate": 4.4544390154307635e-06, "loss": 0.773, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5271 }, { "epoch": 0.7184518942491142, "grad_norm": 0.29296875, "learning_rate": 4.450480435568859e-06, "loss": 0.6964, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5272 }, { "epoch": 0.7185881711638048, "grad_norm": 0.359375, "learning_rate": 4.446523111946691e-06, "loss": 0.7531, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5273 }, { "epoch": 0.7187244480784954, "grad_norm": 0.294921875, "learning_rate": 4.4425670454600924e-06, "loss": 0.8214, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5274 }, { "epoch": 0.7188607249931862, "grad_norm": 0.318359375, "learning_rate": 4.43861223700458e-06, "loss": 0.7149, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5275 }, { "epoch": 0.7189970019078769, "grad_norm": 0.2353515625, "learning_rate": 4.434658687475408e-06, "loss": 0.6776, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5276 }, { "epoch": 0.7191332788225675, "grad_norm": 0.38671875, "learning_rate": 4.430706397767535e-06, "loss": 0.7195, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5277 }, { "epoch": 0.7192695557372581, "grad_norm": 0.353515625, "learning_rate": 4.426755368775637e-06, "loss": 0.7148, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5278 }, { "epoch": 0.7194058326519488, "grad_norm": 0.34765625, "learning_rate": 4.422805601394106e-06, "loss": 0.7485, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5279 }, { "epoch": 0.7195421095666394, "grad_norm": 0.431640625, "learning_rate": 4.418857096517047e-06, "loss": 0.6978, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5280 }, { "epoch": 0.7196783864813301, "grad_norm": 0.302734375, "learning_rate": 4.4149098550382805e-06, "loss": 0.6965, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5281 }, { "epoch": 0.7198146633960207, "grad_norm": 0.28125, "learning_rate": 4.410963877851338e-06, "loss": 0.7089, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5282 }, { "epoch": 0.7199509403107114, "grad_norm": 0.2578125, "learning_rate": 4.4070191658494735e-06, "loss": 0.6541, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5283 }, { "epoch": 0.720087217225402, "grad_norm": 0.291015625, "learning_rate": 4.403075719925633e-06, "loss": 0.6917, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5284 }, { "epoch": 0.7202234941400927, "grad_norm": 0.28125, "learning_rate": 4.399133540972507e-06, "loss": 0.7132, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5285 }, { "epoch": 0.7203597710547833, "grad_norm": 0.451171875, "learning_rate": 4.395192629882475e-06, "loss": 0.7708, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5286 }, { "epoch": 0.720496047969474, "grad_norm": 0.275390625, "learning_rate": 4.391252987547636e-06, "loss": 0.6453, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5287 }, { "epoch": 0.7206323248841646, "grad_norm": 0.291015625, "learning_rate": 4.387314614859808e-06, "loss": 0.6825, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5288 }, { "epoch": 0.7207686017988553, "grad_norm": 0.318359375, "learning_rate": 4.383377512710512e-06, "loss": 0.7809, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5289 }, { "epoch": 0.7209048787135459, "grad_norm": 0.314453125, "learning_rate": 4.379441681990991e-06, "loss": 0.6782, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5290 }, { "epoch": 0.7210411556282366, "grad_norm": 0.259765625, "learning_rate": 4.375507123592194e-06, "loss": 0.7324, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5291 }, { "epoch": 0.7211774325429272, "grad_norm": 0.306640625, "learning_rate": 4.371573838404783e-06, "loss": 0.6071, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5292 }, { "epoch": 0.7213137094576179, "grad_norm": 0.296875, "learning_rate": 4.36764182731913e-06, "loss": 0.7112, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5293 }, { "epoch": 0.7214499863723085, "grad_norm": 0.357421875, "learning_rate": 4.363711091225328e-06, "loss": 0.6691, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5294 }, { "epoch": 0.7215862632869992, "grad_norm": 0.29296875, "learning_rate": 4.359781631013161e-06, "loss": 0.7013, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5295 }, { "epoch": 0.7217225402016898, "grad_norm": 0.337890625, "learning_rate": 4.355853447572153e-06, "loss": 0.814, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5296 }, { "epoch": 0.7218588171163804, "grad_norm": 0.33203125, "learning_rate": 4.3519265417915136e-06, "loss": 0.7477, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5297 }, { "epoch": 0.7219950940310711, "grad_norm": 0.294921875, "learning_rate": 4.348000914560173e-06, "loss": 0.7408, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5298 }, { "epoch": 0.7221313709457617, "grad_norm": 0.3125, "learning_rate": 4.344076566766776e-06, "loss": 0.6881, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5299 }, { "epoch": 0.7222676478604524, "grad_norm": 0.63671875, "learning_rate": 4.3401534992996705e-06, "loss": 0.7273, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5300 }, { "epoch": 0.722403924775143, "grad_norm": 0.388671875, "learning_rate": 4.336231713046919e-06, "loss": 0.7865, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5301 }, { "epoch": 0.7225402016898338, "grad_norm": 0.265625, "learning_rate": 4.332311208896294e-06, "loss": 0.697, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5302 }, { "epoch": 0.7226764786045244, "grad_norm": 0.412109375, "learning_rate": 4.328391987735274e-06, "loss": 0.75, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5303 }, { "epoch": 0.7228127555192151, "grad_norm": 0.326171875, "learning_rate": 4.3244740504510505e-06, "loss": 0.7559, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5304 }, { "epoch": 0.7229490324339057, "grad_norm": 0.412109375, "learning_rate": 4.3205573979305285e-06, "loss": 0.7764, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5305 }, { "epoch": 0.7230853093485964, "grad_norm": 2.5625, "learning_rate": 4.3166420310603045e-06, "loss": 0.7014, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5306 }, { "epoch": 0.723221586263287, "grad_norm": 0.357421875, "learning_rate": 4.312727950726712e-06, "loss": 0.6569, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5307 }, { "epoch": 0.7233578631779777, "grad_norm": 0.298828125, "learning_rate": 4.308815157815762e-06, "loss": 0.7043, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5308 }, { "epoch": 0.7234941400926683, "grad_norm": 0.369140625, "learning_rate": 4.304903653213206e-06, "loss": 0.7365, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5309 }, { "epoch": 0.723630417007359, "grad_norm": 0.28515625, "learning_rate": 4.300993437804476e-06, "loss": 0.6571, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5310 }, { "epoch": 0.7237666939220496, "grad_norm": 0.359375, "learning_rate": 4.297084512474728e-06, "loss": 0.7039, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5311 }, { "epoch": 0.7239029708367403, "grad_norm": 0.3515625, "learning_rate": 4.293176878108821e-06, "loss": 0.6453, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5312 }, { "epoch": 0.7240392477514309, "grad_norm": 0.291015625, "learning_rate": 4.289270535591327e-06, "loss": 0.68, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5313 }, { "epoch": 0.7241755246661216, "grad_norm": 0.57421875, "learning_rate": 4.285365485806512e-06, "loss": 0.7376, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5314 }, { "epoch": 0.7243118015808122, "grad_norm": 0.33984375, "learning_rate": 4.281461729638371e-06, "loss": 0.6569, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5315 }, { "epoch": 0.7244480784955029, "grad_norm": 0.4375, "learning_rate": 4.277559267970584e-06, "loss": 0.7698, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5316 }, { "epoch": 0.7245843554101935, "grad_norm": 0.455078125, "learning_rate": 4.273658101686549e-06, "loss": 0.8106, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5317 }, { "epoch": 0.7247206323248842, "grad_norm": 0.287109375, "learning_rate": 4.269758231669372e-06, "loss": 0.7611, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5318 }, { "epoch": 0.7248569092395748, "grad_norm": 0.359375, "learning_rate": 4.265859658801858e-06, "loss": 0.6449, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5319 }, { "epoch": 0.7249931861542654, "grad_norm": 0.34375, "learning_rate": 4.261962383966536e-06, "loss": 0.6655, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5320 }, { "epoch": 0.7251294630689561, "grad_norm": 0.2578125, "learning_rate": 4.258066408045617e-06, "loss": 0.7412, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5321 }, { "epoch": 0.7252657399836467, "grad_norm": 0.29296875, "learning_rate": 4.254171731921032e-06, "loss": 0.7474, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5322 }, { "epoch": 0.7254020168983374, "grad_norm": 0.30859375, "learning_rate": 4.250278356474417e-06, "loss": 0.6385, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5323 }, { "epoch": 0.725538293813028, "grad_norm": 0.291015625, "learning_rate": 4.246386282587114e-06, "loss": 0.723, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5324 }, { "epoch": 0.7256745707277187, "grad_norm": 0.302734375, "learning_rate": 4.242495511140158e-06, "loss": 0.7673, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5325 }, { "epoch": 0.7258108476424093, "grad_norm": 0.2333984375, "learning_rate": 4.238606043014315e-06, "loss": 0.6867, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5326 }, { "epoch": 0.7259471245571, "grad_norm": 0.328125, "learning_rate": 4.234717879090025e-06, "loss": 0.7673, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5327 }, { "epoch": 0.7260834014717906, "grad_norm": 0.33984375, "learning_rate": 4.230831020247461e-06, "loss": 0.7659, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5328 }, { "epoch": 0.7262196783864814, "grad_norm": 0.29296875, "learning_rate": 4.226945467366479e-06, "loss": 0.7321, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5329 }, { "epoch": 0.726355955301172, "grad_norm": 0.345703125, "learning_rate": 4.223061221326652e-06, "loss": 0.7183, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5330 }, { "epoch": 0.7264922322158627, "grad_norm": 0.28515625, "learning_rate": 4.219178283007253e-06, "loss": 0.6434, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5331 }, { "epoch": 0.7266285091305533, "grad_norm": 0.328125, "learning_rate": 4.215296653287257e-06, "loss": 0.7393, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5332 }, { "epoch": 0.726764786045244, "grad_norm": 0.330078125, "learning_rate": 4.2114163330453475e-06, "loss": 0.6628, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5333 }, { "epoch": 0.7269010629599346, "grad_norm": 0.408203125, "learning_rate": 4.207537323159908e-06, "loss": 0.8037, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5334 }, { "epoch": 0.7270373398746253, "grad_norm": 0.28515625, "learning_rate": 4.203659624509031e-06, "loss": 0.7, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5335 }, { "epoch": 0.7271736167893159, "grad_norm": 0.3359375, "learning_rate": 4.1997832379704965e-06, "loss": 0.8139, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5336 }, { "epoch": 0.7273098937040066, "grad_norm": 0.49609375, "learning_rate": 4.1959081644218126e-06, "loss": 0.7927, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5337 }, { "epoch": 0.7274461706186972, "grad_norm": 0.3359375, "learning_rate": 4.192034404740162e-06, "loss": 0.7157, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5338 }, { "epoch": 0.7275824475333879, "grad_norm": 0.373046875, "learning_rate": 4.188161959802458e-06, "loss": 0.5708, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5339 }, { "epoch": 0.7277187244480785, "grad_norm": 0.349609375, "learning_rate": 4.184290830485292e-06, "loss": 0.82, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5340 }, { "epoch": 0.7278550013627691, "grad_norm": 0.25390625, "learning_rate": 4.180421017664974e-06, "loss": 0.6784, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5341 }, { "epoch": 0.7279912782774598, "grad_norm": 0.2890625, "learning_rate": 4.1765525222175065e-06, "loss": 0.6486, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5342 }, { "epoch": 0.7281275551921504, "grad_norm": 0.326171875, "learning_rate": 4.172685345018599e-06, "loss": 0.6995, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5343 }, { "epoch": 0.7282638321068411, "grad_norm": 0.29296875, "learning_rate": 4.16881948694366e-06, "loss": 0.7481, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5344 }, { "epoch": 0.7284001090215317, "grad_norm": 0.294921875, "learning_rate": 4.164954948867802e-06, "loss": 0.6877, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5345 }, { "epoch": 0.7285363859362224, "grad_norm": 0.404296875, "learning_rate": 4.1610917316658395e-06, "loss": 0.7115, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5346 }, { "epoch": 0.728672662850913, "grad_norm": 0.451171875, "learning_rate": 4.157229836212274e-06, "loss": 0.7896, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5347 }, { "epoch": 0.7288089397656037, "grad_norm": 0.431640625, "learning_rate": 4.153369263381335e-06, "loss": 0.7088, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5348 }, { "epoch": 0.7289452166802943, "grad_norm": 0.35546875, "learning_rate": 4.149510014046922e-06, "loss": 0.744, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5349 }, { "epoch": 0.729081493594985, "grad_norm": 0.28125, "learning_rate": 4.145652089082665e-06, "loss": 0.7344, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5350 }, { "epoch": 0.7292177705096756, "grad_norm": 0.29296875, "learning_rate": 4.141795489361866e-06, "loss": 0.7032, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5351 }, { "epoch": 0.7293540474243663, "grad_norm": 0.404296875, "learning_rate": 4.137940215757547e-06, "loss": 0.6745, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5352 }, { "epoch": 0.7294903243390569, "grad_norm": 0.28515625, "learning_rate": 4.1340862691424184e-06, "loss": 0.7088, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5353 }, { "epoch": 0.7296266012537476, "grad_norm": 0.43359375, "learning_rate": 4.130233650388899e-06, "loss": 0.7266, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5354 }, { "epoch": 0.7297628781684382, "grad_norm": 0.85546875, "learning_rate": 4.1263823603691e-06, "loss": 0.7674, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5355 }, { "epoch": 0.729899155083129, "grad_norm": 0.296875, "learning_rate": 4.122532399954835e-06, "loss": 0.7112, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5356 }, { "epoch": 0.7300354319978196, "grad_norm": 0.384765625, "learning_rate": 4.118683770017616e-06, "loss": 0.7666, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5357 }, { "epoch": 0.7301717089125103, "grad_norm": 0.302734375, "learning_rate": 4.114836471428655e-06, "loss": 0.7275, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5358 }, { "epoch": 0.7303079858272009, "grad_norm": 0.4140625, "learning_rate": 4.1109905050588636e-06, "loss": 0.721, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5359 }, { "epoch": 0.7304442627418916, "grad_norm": 0.31640625, "learning_rate": 4.107145871778839e-06, "loss": 0.7074, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5360 }, { "epoch": 0.7305805396565822, "grad_norm": 0.34765625, "learning_rate": 4.1033025724589036e-06, "loss": 0.681, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5361 }, { "epoch": 0.7307168165712729, "grad_norm": 0.326171875, "learning_rate": 4.099460607969049e-06, "loss": 0.7386, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5362 }, { "epoch": 0.7308530934859635, "grad_norm": 0.322265625, "learning_rate": 4.0956199791789806e-06, "loss": 0.7393, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5363 }, { "epoch": 0.7309893704006541, "grad_norm": 0.306640625, "learning_rate": 4.0917806869581e-06, "loss": 0.7141, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5364 }, { "epoch": 0.7311256473153448, "grad_norm": 0.35546875, "learning_rate": 4.087942732175506e-06, "loss": 0.6825, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5365 }, { "epoch": 0.7312619242300354, "grad_norm": 0.361328125, "learning_rate": 4.084106115699983e-06, "loss": 0.7, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5366 }, { "epoch": 0.7313982011447261, "grad_norm": 0.29296875, "learning_rate": 4.080270838400033e-06, "loss": 0.7209, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5367 }, { "epoch": 0.7315344780594167, "grad_norm": 0.234375, "learning_rate": 4.076436901143842e-06, "loss": 0.6626, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5368 }, { "epoch": 0.7316707549741074, "grad_norm": 0.328125, "learning_rate": 4.0726043047992935e-06, "loss": 0.701, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5369 }, { "epoch": 0.731807031888798, "grad_norm": 0.33984375, "learning_rate": 4.068773050233972e-06, "loss": 0.7671, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5370 }, { "epoch": 0.7319433088034887, "grad_norm": 0.330078125, "learning_rate": 4.064943138315145e-06, "loss": 0.7965, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5371 }, { "epoch": 0.7320795857181793, "grad_norm": 0.2734375, "learning_rate": 4.061114569909801e-06, "loss": 0.7533, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5372 }, { "epoch": 0.73221586263287, "grad_norm": 0.28125, "learning_rate": 4.057287345884598e-06, "loss": 0.7132, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5373 }, { "epoch": 0.7323521395475606, "grad_norm": 0.259765625, "learning_rate": 4.0534614671059066e-06, "loss": 0.6717, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5374 }, { "epoch": 0.7324884164622513, "grad_norm": 0.30859375, "learning_rate": 4.049636934439786e-06, "loss": 0.7693, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5375 }, { "epoch": 0.7326246933769419, "grad_norm": 0.259765625, "learning_rate": 4.045813748751991e-06, "loss": 0.6998, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5376 }, { "epoch": 0.7327609702916326, "grad_norm": 0.267578125, "learning_rate": 4.041991910907975e-06, "loss": 0.7284, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5377 }, { "epoch": 0.7328972472063232, "grad_norm": 0.390625, "learning_rate": 4.038171421772887e-06, "loss": 0.7572, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5378 }, { "epoch": 0.7330335241210139, "grad_norm": 0.28125, "learning_rate": 4.034352282211558e-06, "loss": 0.6702, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5379 }, { "epoch": 0.7331698010357045, "grad_norm": 0.330078125, "learning_rate": 4.030534493088534e-06, "loss": 0.6883, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5380 }, { "epoch": 0.7333060779503952, "grad_norm": 0.26953125, "learning_rate": 4.026718055268037e-06, "loss": 0.6354, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5381 }, { "epoch": 0.7334423548650858, "grad_norm": 0.283203125, "learning_rate": 4.022902969613992e-06, "loss": 0.7207, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5382 }, { "epoch": 0.7335786317797766, "grad_norm": 0.26171875, "learning_rate": 4.019089236990019e-06, "loss": 0.6766, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5383 }, { "epoch": 0.7337149086944672, "grad_norm": 0.2412109375, "learning_rate": 4.015276858259427e-06, "loss": 0.6521, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5384 }, { "epoch": 0.7338511856091579, "grad_norm": 0.31640625, "learning_rate": 4.011465834285222e-06, "loss": 0.7108, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5385 }, { "epoch": 0.7339874625238485, "grad_norm": 0.275390625, "learning_rate": 4.007656165930101e-06, "loss": 0.6681, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5386 }, { "epoch": 0.7341237394385391, "grad_norm": 0.279296875, "learning_rate": 4.003847854056457e-06, "loss": 0.727, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5387 }, { "epoch": 0.7342600163532298, "grad_norm": 0.412109375, "learning_rate": 4.000040899526373e-06, "loss": 0.6842, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5388 }, { "epoch": 0.7343962932679204, "grad_norm": 0.2578125, "learning_rate": 3.9962353032016275e-06, "loss": 0.724, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5389 }, { "epoch": 0.7345325701826111, "grad_norm": 0.296875, "learning_rate": 3.992431065943682e-06, "loss": 0.7151, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5390 }, { "epoch": 0.7346688470973017, "grad_norm": 0.310546875, "learning_rate": 3.988628188613712e-06, "loss": 0.7578, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5391 }, { "epoch": 0.7348051240119924, "grad_norm": 0.251953125, "learning_rate": 3.984826672072562e-06, "loss": 0.6758, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5392 }, { "epoch": 0.734941400926683, "grad_norm": 0.51953125, "learning_rate": 3.981026517180777e-06, "loss": 0.8245, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5393 }, { "epoch": 0.7350776778413737, "grad_norm": 0.296875, "learning_rate": 3.977227724798599e-06, "loss": 0.6999, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5394 }, { "epoch": 0.7352139547560643, "grad_norm": 0.6171875, "learning_rate": 3.973430295785955e-06, "loss": 0.7006, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5395 }, { "epoch": 0.735350231670755, "grad_norm": 0.2451171875, "learning_rate": 3.969634231002466e-06, "loss": 0.7166, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5396 }, { "epoch": 0.7354865085854456, "grad_norm": 0.298828125, "learning_rate": 3.965839531307445e-06, "loss": 0.7451, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5397 }, { "epoch": 0.7356227855001363, "grad_norm": 0.361328125, "learning_rate": 3.962046197559892e-06, "loss": 0.7588, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5398 }, { "epoch": 0.7357590624148269, "grad_norm": 0.2734375, "learning_rate": 3.9582542306185035e-06, "loss": 0.6549, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5399 }, { "epoch": 0.7358953393295176, "grad_norm": 0.30859375, "learning_rate": 3.954463631341666e-06, "loss": 0.7658, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5400 }, { "epoch": 0.7360316162442082, "grad_norm": 0.369140625, "learning_rate": 3.950674400587443e-06, "loss": 0.7255, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5401 }, { "epoch": 0.7361678931588989, "grad_norm": 0.3203125, "learning_rate": 3.946886539213615e-06, "loss": 0.691, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5402 }, { "epoch": 0.7363041700735895, "grad_norm": 0.373046875, "learning_rate": 3.9431000480776235e-06, "loss": 0.7424, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5403 }, { "epoch": 0.7364404469882802, "grad_norm": 0.291015625, "learning_rate": 3.9393149280366186e-06, "loss": 0.7575, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5404 }, { "epoch": 0.7365767239029708, "grad_norm": 0.365234375, "learning_rate": 3.935531179947434e-06, "loss": 0.7406, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5405 }, { "epoch": 0.7367130008176614, "grad_norm": 0.333984375, "learning_rate": 3.931748804666593e-06, "loss": 0.6524, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5406 }, { "epoch": 0.7368492777323521, "grad_norm": 0.353515625, "learning_rate": 3.92796780305031e-06, "loss": 0.786, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5407 }, { "epoch": 0.7369855546470427, "grad_norm": 0.36328125, "learning_rate": 3.924188175954485e-06, "loss": 0.6346, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5408 }, { "epoch": 0.7371218315617334, "grad_norm": 0.37109375, "learning_rate": 3.920409924234708e-06, "loss": 0.7551, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5409 }, { "epoch": 0.7372581084764241, "grad_norm": 0.32421875, "learning_rate": 3.916633048746263e-06, "loss": 0.6084, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5410 }, { "epoch": 0.7373943853911148, "grad_norm": 0.5234375, "learning_rate": 3.912857550344115e-06, "loss": 0.6976, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5411 }, { "epoch": 0.7375306623058054, "grad_norm": 0.28125, "learning_rate": 3.909083429882915e-06, "loss": 0.653, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5412 }, { "epoch": 0.7376669392204961, "grad_norm": 0.326171875, "learning_rate": 3.90531068821702e-06, "loss": 0.6743, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5413 }, { "epoch": 0.7378032161351867, "grad_norm": 0.31640625, "learning_rate": 3.90153932620045e-06, "loss": 0.6566, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5414 }, { "epoch": 0.7379394930498774, "grad_norm": 0.330078125, "learning_rate": 3.897769344686929e-06, "loss": 0.7099, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5415 }, { "epoch": 0.738075769964568, "grad_norm": 0.2734375, "learning_rate": 3.8940007445298645e-06, "loss": 0.7086, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5416 }, { "epoch": 0.7382120468792587, "grad_norm": 0.28125, "learning_rate": 3.890233526582352e-06, "loss": 0.6521, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5417 }, { "epoch": 0.7383483237939493, "grad_norm": 0.310546875, "learning_rate": 3.886467691697171e-06, "loss": 0.7096, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5418 }, { "epoch": 0.73848460070864, "grad_norm": 0.328125, "learning_rate": 3.882703240726793e-06, "loss": 0.7062, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5419 }, { "epoch": 0.7386208776233306, "grad_norm": 0.345703125, "learning_rate": 3.878940174523371e-06, "loss": 0.6401, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5420 }, { "epoch": 0.7387571545380213, "grad_norm": 0.41015625, "learning_rate": 3.875178493938749e-06, "loss": 0.7222, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5421 }, { "epoch": 0.7388934314527119, "grad_norm": 0.33984375, "learning_rate": 3.871418199824457e-06, "loss": 0.7204, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5422 }, { "epoch": 0.7390297083674026, "grad_norm": 0.3828125, "learning_rate": 3.867659293031699e-06, "loss": 0.7586, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5423 }, { "epoch": 0.7391659852820932, "grad_norm": 0.45703125, "learning_rate": 3.863901774411391e-06, "loss": 0.6903, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5424 }, { "epoch": 0.7393022621967839, "grad_norm": 0.451171875, "learning_rate": 3.8601456448141025e-06, "loss": 0.767, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5425 }, { "epoch": 0.7394385391114745, "grad_norm": 0.23828125, "learning_rate": 3.856390905090121e-06, "loss": 0.7292, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5426 }, { "epoch": 0.7395748160261651, "grad_norm": 0.2314453125, "learning_rate": 3.852637556089394e-06, "loss": 0.6748, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5427 }, { "epoch": 0.7397110929408558, "grad_norm": 0.400390625, "learning_rate": 3.848885598661565e-06, "loss": 0.7266, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5428 }, { "epoch": 0.7398473698555464, "grad_norm": 0.283203125, "learning_rate": 3.845135033655961e-06, "loss": 0.653, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5429 }, { "epoch": 0.7399836467702371, "grad_norm": 0.34375, "learning_rate": 3.8413858619216e-06, "loss": 0.695, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5430 }, { "epoch": 0.7401199236849277, "grad_norm": 0.341796875, "learning_rate": 3.8376380843071655e-06, "loss": 0.7907, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5431 }, { "epoch": 0.7402562005996184, "grad_norm": 0.30859375, "learning_rate": 3.833891701661053e-06, "loss": 0.8009, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5432 }, { "epoch": 0.740392477514309, "grad_norm": 1.703125, "learning_rate": 3.830146714831322e-06, "loss": 0.6829, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5433 }, { "epoch": 0.7405287544289997, "grad_norm": 0.271484375, "learning_rate": 3.8264031246657165e-06, "loss": 0.7087, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5434 }, { "epoch": 0.7406650313436903, "grad_norm": 0.412109375, "learning_rate": 3.822660932011681e-06, "loss": 0.6972, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5435 }, { "epoch": 0.740801308258381, "grad_norm": 0.291015625, "learning_rate": 3.818920137716318e-06, "loss": 0.745, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5436 }, { "epoch": 0.7409375851730717, "grad_norm": 0.2412109375, "learning_rate": 3.815180742626443e-06, "loss": 0.6933, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5437 }, { "epoch": 0.7410738620877624, "grad_norm": 0.29296875, "learning_rate": 3.8114427475885284e-06, "loss": 0.6779, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5438 }, { "epoch": 0.741210139002453, "grad_norm": 0.33203125, "learning_rate": 3.8077061534487447e-06, "loss": 0.7178, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5439 }, { "epoch": 0.7413464159171437, "grad_norm": 0.380859375, "learning_rate": 3.8039709610529408e-06, "loss": 0.7494, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5440 }, { "epoch": 0.7414826928318343, "grad_norm": 0.248046875, "learning_rate": 3.8002371712466525e-06, "loss": 0.6402, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5441 }, { "epoch": 0.741618969746525, "grad_norm": 0.306640625, "learning_rate": 3.7965047848750845e-06, "loss": 0.6895, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5442 }, { "epoch": 0.7417552466612156, "grad_norm": 0.3046875, "learning_rate": 3.7927738027831463e-06, "loss": 0.7607, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5443 }, { "epoch": 0.7418915235759063, "grad_norm": 0.35546875, "learning_rate": 3.789044225815408e-06, "loss": 0.687, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5444 }, { "epoch": 0.7420278004905969, "grad_norm": 0.291015625, "learning_rate": 3.785316054816134e-06, "loss": 0.661, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5445 }, { "epoch": 0.7421640774052876, "grad_norm": 0.341796875, "learning_rate": 3.781589290629266e-06, "loss": 0.7166, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5446 }, { "epoch": 0.7423003543199782, "grad_norm": 0.294921875, "learning_rate": 3.777863934098429e-06, "loss": 0.7133, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5447 }, { "epoch": 0.7424366312346689, "grad_norm": 0.2734375, "learning_rate": 3.7741399860669283e-06, "loss": 0.6937, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5448 }, { "epoch": 0.7425729081493595, "grad_norm": 0.306640625, "learning_rate": 3.77041744737775e-06, "loss": 0.7838, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5449 }, { "epoch": 0.7427091850640501, "grad_norm": 0.380859375, "learning_rate": 3.7666963188735627e-06, "loss": 0.7278, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5450 }, { "epoch": 0.7428454619787408, "grad_norm": 0.271484375, "learning_rate": 3.762976601396715e-06, "loss": 0.6453, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5451 }, { "epoch": 0.7429817388934314, "grad_norm": 0.251953125, "learning_rate": 3.7592582957892396e-06, "loss": 0.6787, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5452 }, { "epoch": 0.7431180158081221, "grad_norm": 0.31640625, "learning_rate": 3.755541402892835e-06, "loss": 0.7601, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5453 }, { "epoch": 0.7432542927228127, "grad_norm": 0.373046875, "learning_rate": 3.7518259235489052e-06, "loss": 0.6941, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5454 }, { "epoch": 0.7433905696375034, "grad_norm": 0.3671875, "learning_rate": 3.7481118585985056e-06, "loss": 0.7019, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5455 }, { "epoch": 0.743526846552194, "grad_norm": 0.271484375, "learning_rate": 3.7443992088823997e-06, "loss": 0.7039, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5456 }, { "epoch": 0.7436631234668847, "grad_norm": 0.3125, "learning_rate": 3.7406879752410064e-06, "loss": 0.6643, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5457 }, { "epoch": 0.7437994003815753, "grad_norm": 0.283203125, "learning_rate": 3.736978158514437e-06, "loss": 0.6885, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5458 }, { "epoch": 0.743935677296266, "grad_norm": 0.41796875, "learning_rate": 3.7332697595424814e-06, "loss": 0.7705, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5459 }, { "epoch": 0.7440719542109566, "grad_norm": 0.388671875, "learning_rate": 3.7295627791646048e-06, "loss": 0.7102, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5460 }, { "epoch": 0.7442082311256473, "grad_norm": 0.328125, "learning_rate": 3.725857218219954e-06, "loss": 0.7168, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5461 }, { "epoch": 0.7443445080403379, "grad_norm": 0.3359375, "learning_rate": 3.7221530775473523e-06, "loss": 0.7839, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5462 }, { "epoch": 0.7444807849550286, "grad_norm": 0.337890625, "learning_rate": 3.718450357985307e-06, "loss": 0.7345, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5463 }, { "epoch": 0.7446170618697193, "grad_norm": 0.400390625, "learning_rate": 3.7147490603719884e-06, "loss": 0.7077, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5464 }, { "epoch": 0.74475333878441, "grad_norm": 0.263671875, "learning_rate": 3.7110491855452712e-06, "loss": 0.6963, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5465 }, { "epoch": 0.7448896156991006, "grad_norm": 0.244140625, "learning_rate": 3.7073507343426774e-06, "loss": 0.7701, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5466 }, { "epoch": 0.7450258926137913, "grad_norm": 0.62890625, "learning_rate": 3.7036537076014354e-06, "loss": 0.7536, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5467 }, { "epoch": 0.7451621695284819, "grad_norm": 0.373046875, "learning_rate": 3.69995810615843e-06, "loss": 0.7035, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5468 }, { "epoch": 0.7452984464431726, "grad_norm": 0.28515625, "learning_rate": 3.6962639308502325e-06, "loss": 0.6986, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5469 }, { "epoch": 0.7454347233578632, "grad_norm": 0.33203125, "learning_rate": 3.6925711825130905e-06, "loss": 0.6794, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5470 }, { "epoch": 0.7455710002725539, "grad_norm": 0.306640625, "learning_rate": 3.688879861982928e-06, "loss": 0.6639, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5471 }, { "epoch": 0.7457072771872445, "grad_norm": 0.302734375, "learning_rate": 3.6851899700953464e-06, "loss": 0.7334, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5472 }, { "epoch": 0.7458435541019351, "grad_norm": 0.310546875, "learning_rate": 3.681501507685622e-06, "loss": 0.6955, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5473 }, { "epoch": 0.7459798310166258, "grad_norm": 0.392578125, "learning_rate": 3.67781447558871e-06, "loss": 0.6535, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5474 }, { "epoch": 0.7461161079313164, "grad_norm": 0.2890625, "learning_rate": 3.674128874639241e-06, "loss": 0.6553, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5475 }, { "epoch": 0.7462523848460071, "grad_norm": 0.32421875, "learning_rate": 3.670444705671523e-06, "loss": 0.7236, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5476 }, { "epoch": 0.7463886617606977, "grad_norm": 0.37890625, "learning_rate": 3.6667619695195287e-06, "loss": 0.7443, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5477 }, { "epoch": 0.7465249386753884, "grad_norm": 0.31640625, "learning_rate": 3.6630806670169296e-06, "loss": 0.7623, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5478 }, { "epoch": 0.746661215590079, "grad_norm": 0.259765625, "learning_rate": 3.659400798997048e-06, "loss": 0.7058, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5479 }, { "epoch": 0.7467974925047697, "grad_norm": 0.3203125, "learning_rate": 3.6557223662928964e-06, "loss": 0.6741, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5480 }, { "epoch": 0.7469337694194603, "grad_norm": 0.365234375, "learning_rate": 3.652045369737157e-06, "loss": 0.6839, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5481 }, { "epoch": 0.747070046334151, "grad_norm": 0.263671875, "learning_rate": 3.648369810162189e-06, "loss": 0.7122, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5482 }, { "epoch": 0.7472063232488416, "grad_norm": 0.255859375, "learning_rate": 3.644695688400026e-06, "loss": 0.6901, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5483 }, { "epoch": 0.7473426001635323, "grad_norm": 0.25, "learning_rate": 3.641023005282375e-06, "loss": 0.7138, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5484 }, { "epoch": 0.7474788770782229, "grad_norm": 0.369140625, "learning_rate": 3.6373517616406186e-06, "loss": 0.7319, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5485 }, { "epoch": 0.7476151539929136, "grad_norm": 0.361328125, "learning_rate": 3.6336819583058115e-06, "loss": 0.7817, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5486 }, { "epoch": 0.7477514309076042, "grad_norm": 0.357421875, "learning_rate": 3.630013596108689e-06, "loss": 0.7834, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5487 }, { "epoch": 0.7478877078222949, "grad_norm": 0.25, "learning_rate": 3.626346675879643e-06, "loss": 0.6769, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5488 }, { "epoch": 0.7480239847369855, "grad_norm": 0.494140625, "learning_rate": 3.6226811984487664e-06, "loss": 0.7532, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5489 }, { "epoch": 0.7481602616516762, "grad_norm": 0.31640625, "learning_rate": 3.6190171646457982e-06, "loss": 0.6668, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5490 }, { "epoch": 0.7482965385663669, "grad_norm": 0.314453125, "learning_rate": 3.6153545753001663e-06, "loss": 0.779, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5491 }, { "epoch": 0.7484328154810576, "grad_norm": 0.337890625, "learning_rate": 3.611693431240968e-06, "loss": 0.6785, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5492 }, { "epoch": 0.7485690923957482, "grad_norm": 0.267578125, "learning_rate": 3.6080337332969773e-06, "loss": 0.7064, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5493 }, { "epoch": 0.7487053693104389, "grad_norm": 0.3125, "learning_rate": 3.604375482296625e-06, "loss": 0.6625, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5494 }, { "epoch": 0.7488416462251295, "grad_norm": 0.294921875, "learning_rate": 3.6007186790680402e-06, "loss": 0.7738, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5495 }, { "epoch": 0.7489779231398201, "grad_norm": 0.29296875, "learning_rate": 3.5970633244389975e-06, "loss": 0.7539, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5496 }, { "epoch": 0.7491142000545108, "grad_norm": 0.31640625, "learning_rate": 3.5934094192369652e-06, "loss": 0.6753, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5497 }, { "epoch": 0.7492504769692014, "grad_norm": 0.296875, "learning_rate": 3.589756964289075e-06, "loss": 0.6588, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5498 }, { "epoch": 0.7493867538838921, "grad_norm": 0.3125, "learning_rate": 3.5861059604221204e-06, "loss": 0.7058, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5499 }, { "epoch": 0.7495230307985827, "grad_norm": 0.24609375, "learning_rate": 3.582456408462588e-06, "loss": 0.6929, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5500 }, { "epoch": 0.7496593077132734, "grad_norm": 0.2373046875, "learning_rate": 3.5788083092366143e-06, "loss": 0.7065, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5501 }, { "epoch": 0.749795584627964, "grad_norm": 0.294921875, "learning_rate": 3.5751616635700193e-06, "loss": 0.7085, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5502 }, { "epoch": 0.749795584627964, "eval_loss": 0.7098046541213989, "eval_runtime": 1254.8207, "eval_samples_per_second": 4.095, "eval_steps_per_second": 0.171, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5502 }, { "epoch": 0.7499318615426547, "grad_norm": 0.275390625, "learning_rate": 3.571516472288291e-06, "loss": 0.7367, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5503 }, { "epoch": 0.7500681384573453, "grad_norm": 0.3203125, "learning_rate": 3.5678727362165876e-06, "loss": 0.753, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5504 }, { "epoch": 0.750204415372036, "grad_norm": 0.3671875, "learning_rate": 3.5642304561797404e-06, "loss": 0.6487, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5505 }, { "epoch": 0.7503406922867266, "grad_norm": 0.283203125, "learning_rate": 3.5605896330022495e-06, "loss": 0.709, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5506 }, { "epoch": 0.7504769692014173, "grad_norm": 0.29296875, "learning_rate": 3.5569502675082766e-06, "loss": 0.693, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5507 }, { "epoch": 0.7506132461161079, "grad_norm": 0.2734375, "learning_rate": 3.5533123605216748e-06, "loss": 0.6356, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5508 }, { "epoch": 0.7507495230307986, "grad_norm": 0.3671875, "learning_rate": 3.549675912865943e-06, "loss": 0.7252, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5509 }, { "epoch": 0.7508857999454892, "grad_norm": 0.228515625, "learning_rate": 3.5460409253642637e-06, "loss": 0.6821, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5510 }, { "epoch": 0.7510220768601799, "grad_norm": 0.341796875, "learning_rate": 3.542407398839488e-06, "loss": 0.7185, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5511 }, { "epoch": 0.7511583537748705, "grad_norm": 0.267578125, "learning_rate": 3.5387753341141305e-06, "loss": 0.6874, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5512 }, { "epoch": 0.7512946306895611, "grad_norm": 0.3125, "learning_rate": 3.5351447320103815e-06, "loss": 0.7435, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5513 }, { "epoch": 0.7514309076042518, "grad_norm": 0.29296875, "learning_rate": 3.5315155933500966e-06, "loss": 0.7972, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5514 }, { "epoch": 0.7515671845189424, "grad_norm": 0.392578125, "learning_rate": 3.5278879189547986e-06, "loss": 0.7206, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5515 }, { "epoch": 0.7517034614336331, "grad_norm": 0.341796875, "learning_rate": 3.5242617096456832e-06, "loss": 0.7221, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5516 }, { "epoch": 0.7518397383483238, "grad_norm": 0.259765625, "learning_rate": 3.5206369662436146e-06, "loss": 0.6879, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5517 }, { "epoch": 0.7519760152630145, "grad_norm": 0.30078125, "learning_rate": 3.5170136895691133e-06, "loss": 0.7956, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5518 }, { "epoch": 0.7521122921777051, "grad_norm": 0.318359375, "learning_rate": 3.5133918804423882e-06, "loss": 0.6889, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5519 }, { "epoch": 0.7522485690923958, "grad_norm": 0.30078125, "learning_rate": 3.5097715396832977e-06, "loss": 0.6012, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5520 }, { "epoch": 0.7523848460070864, "grad_norm": 0.36328125, "learning_rate": 3.506152668111378e-06, "loss": 0.7237, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5521 }, { "epoch": 0.7525211229217771, "grad_norm": 0.69140625, "learning_rate": 3.5025352665458278e-06, "loss": 0.7844, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5522 }, { "epoch": 0.7526573998364677, "grad_norm": 0.244140625, "learning_rate": 3.4989193358055173e-06, "loss": 0.7215, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5523 }, { "epoch": 0.7527936767511584, "grad_norm": 0.2890625, "learning_rate": 3.4953048767089803e-06, "loss": 0.6593, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5524 }, { "epoch": 0.752929953665849, "grad_norm": 0.53125, "learning_rate": 3.491691890074419e-06, "loss": 0.7793, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5525 }, { "epoch": 0.7530662305805397, "grad_norm": 0.37109375, "learning_rate": 3.4880803767197024e-06, "loss": 0.7673, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5526 }, { "epoch": 0.7532025074952303, "grad_norm": 0.30078125, "learning_rate": 3.4844703374623645e-06, "loss": 0.6994, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5527 }, { "epoch": 0.753338784409921, "grad_norm": 0.279296875, "learning_rate": 3.4808617731196105e-06, "loss": 0.6872, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5528 }, { "epoch": 0.7534750613246116, "grad_norm": 0.314453125, "learning_rate": 3.4772546845082978e-06, "loss": 0.7183, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5529 }, { "epoch": 0.7536113382393023, "grad_norm": 0.314453125, "learning_rate": 3.4736490724449733e-06, "loss": 0.6699, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5530 }, { "epoch": 0.7537476151539929, "grad_norm": 0.330078125, "learning_rate": 3.4700449377458257e-06, "loss": 0.6752, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5531 }, { "epoch": 0.7538838920686836, "grad_norm": 0.296875, "learning_rate": 3.4664422812267227e-06, "loss": 0.6814, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5532 }, { "epoch": 0.7540201689833742, "grad_norm": 0.404296875, "learning_rate": 3.462841103703196e-06, "loss": 0.7853, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5533 }, { "epoch": 0.7541564458980649, "grad_norm": 0.55078125, "learning_rate": 3.459241405990441e-06, "loss": 0.7876, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5534 }, { "epoch": 0.7542927228127555, "grad_norm": 0.60546875, "learning_rate": 3.455643188903316e-06, "loss": 0.7016, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5535 }, { "epoch": 0.7544289997274461, "grad_norm": 0.373046875, "learning_rate": 3.452046453256347e-06, "loss": 0.7236, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5536 }, { "epoch": 0.7545652766421368, "grad_norm": 0.43359375, "learning_rate": 3.448451199863724e-06, "loss": 0.7183, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5537 }, { "epoch": 0.7547015535568274, "grad_norm": 0.283203125, "learning_rate": 3.444857429539301e-06, "loss": 0.6447, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5538 }, { "epoch": 0.7548378304715181, "grad_norm": 0.40625, "learning_rate": 3.4412651430966006e-06, "loss": 0.7478, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5539 }, { "epoch": 0.7549741073862087, "grad_norm": 0.40234375, "learning_rate": 3.4376743413487956e-06, "loss": 0.7406, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5540 }, { "epoch": 0.7551103843008994, "grad_norm": 0.33203125, "learning_rate": 3.4340850251087443e-06, "loss": 0.6549, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5541 }, { "epoch": 0.75524666121559, "grad_norm": 0.3828125, "learning_rate": 3.4304971951889452e-06, "loss": 0.8051, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5542 }, { "epoch": 0.7553829381302807, "grad_norm": 0.255859375, "learning_rate": 3.426910852401585e-06, "loss": 0.7021, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5543 }, { "epoch": 0.7555192150449714, "grad_norm": 0.279296875, "learning_rate": 3.42332599755849e-06, "loss": 0.6814, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5544 }, { "epoch": 0.7556554919596621, "grad_norm": 0.3671875, "learning_rate": 3.4197426314711657e-06, "loss": 0.735, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5545 }, { "epoch": 0.7557917688743527, "grad_norm": 0.251953125, "learning_rate": 3.4161607549507735e-06, "loss": 0.707, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5546 }, { "epoch": 0.7559280457890434, "grad_norm": 0.265625, "learning_rate": 3.4125803688081407e-06, "loss": 0.6805, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5547 }, { "epoch": 0.756064322703734, "grad_norm": 0.25390625, "learning_rate": 3.409001473853756e-06, "loss": 0.696, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5548 }, { "epoch": 0.7562005996184247, "grad_norm": 0.3671875, "learning_rate": 3.4054240708977705e-06, "loss": 0.789, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5549 }, { "epoch": 0.7563368765331153, "grad_norm": 0.265625, "learning_rate": 3.401848160750001e-06, "loss": 0.6668, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5550 }, { "epoch": 0.756473153447806, "grad_norm": 0.384765625, "learning_rate": 3.3982737442199132e-06, "loss": 0.7041, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5551 }, { "epoch": 0.7566094303624966, "grad_norm": 0.259765625, "learning_rate": 3.3947008221166577e-06, "loss": 0.6969, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5552 }, { "epoch": 0.7567457072771873, "grad_norm": 0.380859375, "learning_rate": 3.391129395249021e-06, "loss": 0.8058, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5553 }, { "epoch": 0.7568819841918779, "grad_norm": 0.388671875, "learning_rate": 3.387559464425476e-06, "loss": 0.7556, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5554 }, { "epoch": 0.7570182611065686, "grad_norm": 0.36328125, "learning_rate": 3.3839910304541346e-06, "loss": 0.7962, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5555 }, { "epoch": 0.7571545380212592, "grad_norm": 0.31640625, "learning_rate": 3.3804240941427846e-06, "loss": 0.5999, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5556 }, { "epoch": 0.7572908149359499, "grad_norm": 0.5546875, "learning_rate": 3.3768586562988702e-06, "loss": 0.6884, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5557 }, { "epoch": 0.7574270918506405, "grad_norm": 0.2578125, "learning_rate": 3.3732947177294984e-06, "loss": 0.7902, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5558 }, { "epoch": 0.7575633687653311, "grad_norm": 0.283203125, "learning_rate": 3.3697322792414243e-06, "loss": 0.7172, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5559 }, { "epoch": 0.7576996456800218, "grad_norm": 0.765625, "learning_rate": 3.366171341641089e-06, "loss": 0.7649, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5560 }, { "epoch": 0.7578359225947124, "grad_norm": 0.318359375, "learning_rate": 3.3626119057345687e-06, "loss": 0.7024, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5561 }, { "epoch": 0.7579721995094031, "grad_norm": 0.43359375, "learning_rate": 3.3590539723276083e-06, "loss": 0.7324, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5562 }, { "epoch": 0.7581084764240937, "grad_norm": 0.40625, "learning_rate": 3.355497542225625e-06, "loss": 0.6776, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5563 }, { "epoch": 0.7582447533387844, "grad_norm": 0.31640625, "learning_rate": 3.351942616233671e-06, "loss": 0.7484, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5564 }, { "epoch": 0.758381030253475, "grad_norm": 0.27734375, "learning_rate": 3.348389195156485e-06, "loss": 0.7183, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5565 }, { "epoch": 0.7585173071681657, "grad_norm": 0.302734375, "learning_rate": 3.344837279798442e-06, "loss": 0.7393, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5566 }, { "epoch": 0.7586535840828563, "grad_norm": 0.357421875, "learning_rate": 3.3412868709635895e-06, "loss": 0.6705, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5567 }, { "epoch": 0.758789860997547, "grad_norm": 0.2890625, "learning_rate": 3.337737969455629e-06, "loss": 0.6829, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5568 }, { "epoch": 0.7589261379122376, "grad_norm": 0.431640625, "learning_rate": 3.334190576077927e-06, "loss": 0.7283, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5569 }, { "epoch": 0.7590624148269283, "grad_norm": 0.2890625, "learning_rate": 3.330644691633492e-06, "loss": 0.6996, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5570 }, { "epoch": 0.759198691741619, "grad_norm": 0.283203125, "learning_rate": 3.327100316925018e-06, "loss": 0.7087, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5571 }, { "epoch": 0.7593349686563097, "grad_norm": 0.267578125, "learning_rate": 3.3235574527548275e-06, "loss": 0.654, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5572 }, { "epoch": 0.7594712455710003, "grad_norm": 0.326171875, "learning_rate": 3.3200160999249287e-06, "loss": 0.7552, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5573 }, { "epoch": 0.759607522485691, "grad_norm": 0.365234375, "learning_rate": 3.316476259236965e-06, "loss": 0.7761, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5574 }, { "epoch": 0.7597437994003816, "grad_norm": 0.37890625, "learning_rate": 3.3129379314922495e-06, "loss": 0.6638, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5575 }, { "epoch": 0.7598800763150723, "grad_norm": 0.34375, "learning_rate": 3.309401117491752e-06, "loss": 0.6993, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5576 }, { "epoch": 0.7600163532297629, "grad_norm": 0.376953125, "learning_rate": 3.3058658180360957e-06, "loss": 0.7666, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5577 }, { "epoch": 0.7601526301444536, "grad_norm": 0.400390625, "learning_rate": 3.3023320339255637e-06, "loss": 0.819, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5578 }, { "epoch": 0.7602889070591442, "grad_norm": 0.3671875, "learning_rate": 3.2987997659600966e-06, "loss": 0.7694, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5579 }, { "epoch": 0.7604251839738349, "grad_norm": 0.34375, "learning_rate": 3.295269014939293e-06, "loss": 0.7074, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5580 }, { "epoch": 0.7605614608885255, "grad_norm": 0.32421875, "learning_rate": 3.2917397816623962e-06, "loss": 0.7382, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5581 }, { "epoch": 0.7606977378032161, "grad_norm": 0.388671875, "learning_rate": 3.28821206692833e-06, "loss": 0.709, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5582 }, { "epoch": 0.7608340147179068, "grad_norm": 0.30078125, "learning_rate": 3.2846858715356443e-06, "loss": 0.662, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5583 }, { "epoch": 0.7609702916325974, "grad_norm": 0.310546875, "learning_rate": 3.2811611962825764e-06, "loss": 0.6791, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5584 }, { "epoch": 0.7611065685472881, "grad_norm": 0.236328125, "learning_rate": 3.277638041966992e-06, "loss": 0.6804, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5585 }, { "epoch": 0.7612428454619787, "grad_norm": 0.26953125, "learning_rate": 3.2741164093864285e-06, "loss": 0.6998, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5586 }, { "epoch": 0.7613791223766694, "grad_norm": 0.349609375, "learning_rate": 3.2705962993380757e-06, "loss": 0.7086, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5587 }, { "epoch": 0.76151539929136, "grad_norm": 0.400390625, "learning_rate": 3.267077712618776e-06, "loss": 0.7397, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5588 }, { "epoch": 0.7616516762060507, "grad_norm": 0.2734375, "learning_rate": 3.2635606500250296e-06, "loss": 0.6858, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5589 }, { "epoch": 0.7617879531207413, "grad_norm": 0.287109375, "learning_rate": 3.2600451123529907e-06, "loss": 0.6822, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5590 }, { "epoch": 0.761924230035432, "grad_norm": 0.3125, "learning_rate": 3.256531100398469e-06, "loss": 0.7623, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5591 }, { "epoch": 0.7620605069501226, "grad_norm": 0.333984375, "learning_rate": 3.2530186149569266e-06, "loss": 0.7051, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5592 }, { "epoch": 0.7621967838648133, "grad_norm": 0.291015625, "learning_rate": 3.249507656823486e-06, "loss": 0.7411, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5593 }, { "epoch": 0.7623330607795039, "grad_norm": 0.33203125, "learning_rate": 3.24599822679291e-06, "loss": 0.7025, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5594 }, { "epoch": 0.7624693376941946, "grad_norm": 0.275390625, "learning_rate": 3.2424903256596386e-06, "loss": 0.7181, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5595 }, { "epoch": 0.7626056146088852, "grad_norm": 0.3046875, "learning_rate": 3.2389839542177415e-06, "loss": 0.6849, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5596 }, { "epoch": 0.7627418915235759, "grad_norm": 0.302734375, "learning_rate": 3.2354791132609566e-06, "loss": 0.7089, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5597 }, { "epoch": 0.7628781684382666, "grad_norm": 0.34765625, "learning_rate": 3.23197580358267e-06, "loss": 0.7154, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5598 }, { "epoch": 0.7630144453529573, "grad_norm": 0.30078125, "learning_rate": 3.228474025975925e-06, "loss": 0.706, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5599 }, { "epoch": 0.7631507222676479, "grad_norm": 0.2890625, "learning_rate": 3.2249737812334157e-06, "loss": 0.6541, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5600 }, { "epoch": 0.7632869991823386, "grad_norm": 0.353515625, "learning_rate": 3.2214750701474875e-06, "loss": 0.6905, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5601 }, { "epoch": 0.7634232760970292, "grad_norm": 0.310546875, "learning_rate": 3.2179778935101426e-06, "loss": 0.6988, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5602 }, { "epoch": 0.7635595530117198, "grad_norm": 0.330078125, "learning_rate": 3.2144822521130313e-06, "loss": 0.6771, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5603 }, { "epoch": 0.7636958299264105, "grad_norm": 0.3359375, "learning_rate": 3.2109881467474645e-06, "loss": 0.7324, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5604 }, { "epoch": 0.7638321068411011, "grad_norm": 0.32421875, "learning_rate": 3.207495578204389e-06, "loss": 0.7563, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5605 }, { "epoch": 0.7639683837557918, "grad_norm": 0.28125, "learning_rate": 3.204004547274426e-06, "loss": 0.6483, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5606 }, { "epoch": 0.7641046606704824, "grad_norm": 0.263671875, "learning_rate": 3.2005150547478304e-06, "loss": 0.7162, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5607 }, { "epoch": 0.7642409375851731, "grad_norm": 0.3125, "learning_rate": 3.197027101414516e-06, "loss": 0.7084, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5608 }, { "epoch": 0.7643772144998637, "grad_norm": 0.439453125, "learning_rate": 3.1935406880640486e-06, "loss": 0.7738, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5609 }, { "epoch": 0.7645134914145544, "grad_norm": 0.42578125, "learning_rate": 3.1900558154856443e-06, "loss": 0.748, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5610 }, { "epoch": 0.764649768329245, "grad_norm": 0.3515625, "learning_rate": 3.186572484468171e-06, "loss": 0.6518, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5611 }, { "epoch": 0.7647860452439357, "grad_norm": 0.275390625, "learning_rate": 3.183090695800146e-06, "loss": 0.6935, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5612 }, { "epoch": 0.7649223221586263, "grad_norm": 0.302734375, "learning_rate": 3.17961045026974e-06, "loss": 0.7169, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5613 }, { "epoch": 0.765058599073317, "grad_norm": 0.310546875, "learning_rate": 3.1761317486647734e-06, "loss": 0.7337, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5614 }, { "epoch": 0.7651948759880076, "grad_norm": 0.30078125, "learning_rate": 3.172654591772718e-06, "loss": 0.6874, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5615 }, { "epoch": 0.7653311529026983, "grad_norm": 0.35546875, "learning_rate": 3.169178980380687e-06, "loss": 0.7907, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5616 }, { "epoch": 0.7654674298173889, "grad_norm": 0.287109375, "learning_rate": 3.1657049152754625e-06, "loss": 0.7345, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5617 }, { "epoch": 0.7656037067320796, "grad_norm": 0.337890625, "learning_rate": 3.1622323972434577e-06, "loss": 0.7441, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5618 }, { "epoch": 0.7657399836467702, "grad_norm": 0.40234375, "learning_rate": 3.1587614270707456e-06, "loss": 0.679, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5619 }, { "epoch": 0.7658762605614609, "grad_norm": 0.251953125, "learning_rate": 3.155292005543047e-06, "loss": 0.6325, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5620 }, { "epoch": 0.7660125374761515, "grad_norm": 0.287109375, "learning_rate": 3.151824133445731e-06, "loss": 0.6933, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5621 }, { "epoch": 0.7661488143908421, "grad_norm": 0.376953125, "learning_rate": 3.148357811563817e-06, "loss": 0.7265, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5622 }, { "epoch": 0.7662850913055328, "grad_norm": 0.310546875, "learning_rate": 3.1448930406819766e-06, "loss": 0.6921, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5623 }, { "epoch": 0.7664213682202234, "grad_norm": 0.302734375, "learning_rate": 3.1414298215845164e-06, "loss": 0.7136, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5624 }, { "epoch": 0.7665576451349142, "grad_norm": 0.263671875, "learning_rate": 3.1379681550554163e-06, "loss": 0.6987, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5625 }, { "epoch": 0.7666939220496048, "grad_norm": 0.3515625, "learning_rate": 3.1345080418782805e-06, "loss": 0.8222, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5626 }, { "epoch": 0.7668301989642955, "grad_norm": 0.359375, "learning_rate": 3.1310494828363712e-06, "loss": 0.7019, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5627 }, { "epoch": 0.7669664758789861, "grad_norm": 0.33203125, "learning_rate": 3.12759247871261e-06, "loss": 0.7717, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5628 }, { "epoch": 0.7671027527936768, "grad_norm": 0.310546875, "learning_rate": 3.1241370302895457e-06, "loss": 0.6787, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5629 }, { "epoch": 0.7672390297083674, "grad_norm": 0.515625, "learning_rate": 3.1206831383493876e-06, "loss": 0.8307, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5630 }, { "epoch": 0.7673753066230581, "grad_norm": 0.322265625, "learning_rate": 3.1172308036739905e-06, "loss": 0.7825, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5631 }, { "epoch": 0.7675115835377487, "grad_norm": 0.2578125, "learning_rate": 3.113780027044856e-06, "loss": 0.7293, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5632 }, { "epoch": 0.7676478604524394, "grad_norm": 0.28515625, "learning_rate": 3.110330809243134e-06, "loss": 0.7135, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5633 }, { "epoch": 0.76778413736713, "grad_norm": 0.259765625, "learning_rate": 3.1068831510496245e-06, "loss": 0.6875, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5634 }, { "epoch": 0.7679204142818207, "grad_norm": 0.326171875, "learning_rate": 3.1034370532447598e-06, "loss": 0.7402, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5635 }, { "epoch": 0.7680566911965113, "grad_norm": 0.263671875, "learning_rate": 3.099992516608643e-06, "loss": 0.6919, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5636 }, { "epoch": 0.768192968111202, "grad_norm": 0.298828125, "learning_rate": 3.096549541921002e-06, "loss": 0.754, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5637 }, { "epoch": 0.7683292450258926, "grad_norm": 0.419921875, "learning_rate": 3.093108129961222e-06, "loss": 0.7223, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5638 }, { "epoch": 0.7684655219405833, "grad_norm": 0.298828125, "learning_rate": 3.0896682815083336e-06, "loss": 0.7079, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5639 }, { "epoch": 0.7686017988552739, "grad_norm": 0.376953125, "learning_rate": 3.0862299973410113e-06, "loss": 0.7531, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5640 }, { "epoch": 0.7687380757699646, "grad_norm": 0.41015625, "learning_rate": 3.082793278237577e-06, "loss": 0.7373, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5641 }, { "epoch": 0.7688743526846552, "grad_norm": 0.296875, "learning_rate": 3.079358124975996e-06, "loss": 0.7403, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5642 }, { "epoch": 0.7690106295993459, "grad_norm": 0.2890625, "learning_rate": 3.0759245383338842e-06, "loss": 0.7387, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5643 }, { "epoch": 0.7691469065140365, "grad_norm": 0.330078125, "learning_rate": 3.0724925190884958e-06, "loss": 0.7233, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5644 }, { "epoch": 0.7692831834287271, "grad_norm": 0.326171875, "learning_rate": 3.0690620680167395e-06, "loss": 0.7428, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5645 }, { "epoch": 0.7694194603434178, "grad_norm": 0.384765625, "learning_rate": 3.065633185895153e-06, "loss": 0.6465, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5646 }, { "epoch": 0.7695557372581084, "grad_norm": 0.37109375, "learning_rate": 3.0622058734999414e-06, "loss": 0.7652, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5647 }, { "epoch": 0.7696920141727991, "grad_norm": 0.3046875, "learning_rate": 3.058780131606934e-06, "loss": 0.7327, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5648 }, { "epoch": 0.7698282910874897, "grad_norm": 0.376953125, "learning_rate": 3.0553559609916163e-06, "loss": 0.7021, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5649 }, { "epoch": 0.7699645680021804, "grad_norm": 0.3125, "learning_rate": 3.0519333624291125e-06, "loss": 0.6604, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5650 }, { "epoch": 0.770100844916871, "grad_norm": 0.341796875, "learning_rate": 3.048512336694196e-06, "loss": 0.7767, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5651 }, { "epoch": 0.7702371218315618, "grad_norm": 0.263671875, "learning_rate": 3.045092884561279e-06, "loss": 0.7246, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5652 }, { "epoch": 0.7703733987462524, "grad_norm": 0.3046875, "learning_rate": 3.041675006804422e-06, "loss": 0.6849, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5653 }, { "epoch": 0.7705096756609431, "grad_norm": 0.294921875, "learning_rate": 3.0382587041973243e-06, "loss": 0.708, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5654 }, { "epoch": 0.7706459525756337, "grad_norm": 0.294921875, "learning_rate": 3.034843977513333e-06, "loss": 0.7365, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5655 }, { "epoch": 0.7707822294903244, "grad_norm": 0.341796875, "learning_rate": 3.03143082752544e-06, "loss": 0.7313, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5656 }, { "epoch": 0.770918506405015, "grad_norm": 0.3203125, "learning_rate": 3.028019255006267e-06, "loss": 0.7349, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5657 }, { "epoch": 0.7710547833197057, "grad_norm": 0.271484375, "learning_rate": 3.024609260728101e-06, "loss": 0.6379, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5658 }, { "epoch": 0.7711910602343963, "grad_norm": 0.2490234375, "learning_rate": 3.0212008454628493e-06, "loss": 0.681, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5659 }, { "epoch": 0.771327337149087, "grad_norm": 0.486328125, "learning_rate": 3.017794009982077e-06, "loss": 0.7017, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5660 }, { "epoch": 0.7714636140637776, "grad_norm": 0.2734375, "learning_rate": 3.014388755056984e-06, "loss": 0.6713, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5661 }, { "epoch": 0.7715998909784683, "grad_norm": 0.361328125, "learning_rate": 3.0109850814584164e-06, "loss": 0.6537, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5662 }, { "epoch": 0.7717361678931589, "grad_norm": 0.24609375, "learning_rate": 3.00758298995686e-06, "loss": 0.688, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5663 }, { "epoch": 0.7718724448078496, "grad_norm": 0.275390625, "learning_rate": 3.004182481322444e-06, "loss": 0.6985, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5664 }, { "epoch": 0.7720087217225402, "grad_norm": 0.25, "learning_rate": 3.0007835563249364e-06, "loss": 0.6711, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5665 }, { "epoch": 0.7721449986372309, "grad_norm": 0.35546875, "learning_rate": 2.997386215733752e-06, "loss": 0.7013, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5666 }, { "epoch": 0.7722812755519215, "grad_norm": 0.33203125, "learning_rate": 2.993990460317945e-06, "loss": 0.7105, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5667 }, { "epoch": 0.7724175524666121, "grad_norm": 0.279296875, "learning_rate": 2.9905962908461996e-06, "loss": 0.6386, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5668 }, { "epoch": 0.7725538293813028, "grad_norm": 0.27734375, "learning_rate": 2.9872037080868644e-06, "loss": 0.7056, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5669 }, { "epoch": 0.7726901062959934, "grad_norm": 0.333984375, "learning_rate": 2.983812712807902e-06, "loss": 0.6935, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5670 }, { "epoch": 0.7728263832106841, "grad_norm": 0.314453125, "learning_rate": 2.9804233057769414e-06, "loss": 0.7093, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5671 }, { "epoch": 0.7729626601253747, "grad_norm": 0.357421875, "learning_rate": 2.9770354877612316e-06, "loss": 0.7618, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5672 }, { "epoch": 0.7730989370400654, "grad_norm": 0.26171875, "learning_rate": 2.973649259527672e-06, "loss": 0.7011, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5673 }, { "epoch": 0.773235213954756, "grad_norm": 0.33984375, "learning_rate": 2.9702646218428e-06, "loss": 0.6352, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5674 }, { "epoch": 0.7733714908694467, "grad_norm": 0.333984375, "learning_rate": 2.9668815754727944e-06, "loss": 0.7026, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5675 }, { "epoch": 0.7735077677841373, "grad_norm": 0.31640625, "learning_rate": 2.963500121183469e-06, "loss": 0.739, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5676 }, { "epoch": 0.773644044698828, "grad_norm": 0.259765625, "learning_rate": 2.9601202597402845e-06, "loss": 0.7599, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5677 }, { "epoch": 0.7737803216135186, "grad_norm": 0.375, "learning_rate": 2.9567419919083373e-06, "loss": 0.7066, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5678 }, { "epoch": 0.7739165985282094, "grad_norm": 0.361328125, "learning_rate": 2.953365318452356e-06, "loss": 0.6609, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5679 }, { "epoch": 0.7740528754429, "grad_norm": 0.60546875, "learning_rate": 2.949990240136724e-06, "loss": 0.7212, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5680 }, { "epoch": 0.7741891523575907, "grad_norm": 0.345703125, "learning_rate": 2.946616757725447e-06, "loss": 0.7528, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5681 }, { "epoch": 0.7743254292722813, "grad_norm": 0.33984375, "learning_rate": 2.943244871982185e-06, "loss": 0.7218, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5682 }, { "epoch": 0.774461706186972, "grad_norm": 0.27734375, "learning_rate": 2.9398745836702227e-06, "loss": 0.6872, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5683 }, { "epoch": 0.7745979831016626, "grad_norm": 0.28125, "learning_rate": 2.9365058935524902e-06, "loss": 0.795, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5684 }, { "epoch": 0.7747342600163533, "grad_norm": 0.265625, "learning_rate": 2.9331388023915574e-06, "loss": 0.7662, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5685 }, { "epoch": 0.7748705369310439, "grad_norm": 0.376953125, "learning_rate": 2.9297733109496297e-06, "loss": 0.7754, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5686 }, { "epoch": 0.7750068138457346, "grad_norm": 0.263671875, "learning_rate": 2.926409419988543e-06, "loss": 0.6938, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5687 }, { "epoch": 0.7751430907604252, "grad_norm": 0.287109375, "learning_rate": 2.9230471302697905e-06, "loss": 0.7151, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5688 }, { "epoch": 0.7752793676751158, "grad_norm": 0.37109375, "learning_rate": 2.919686442554478e-06, "loss": 0.7547, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5689 }, { "epoch": 0.7754156445898065, "grad_norm": 0.5234375, "learning_rate": 2.9163273576033733e-06, "loss": 0.6868, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5690 }, { "epoch": 0.7755519215044971, "grad_norm": 0.28515625, "learning_rate": 2.912969876176861e-06, "loss": 0.6501, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5691 }, { "epoch": 0.7756881984191878, "grad_norm": 0.40625, "learning_rate": 2.9096139990349703e-06, "loss": 0.6827, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5692 }, { "epoch": 0.7758244753338784, "grad_norm": 0.30859375, "learning_rate": 2.906259726937378e-06, "loss": 0.7455, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5693 }, { "epoch": 0.7759607522485691, "grad_norm": 0.69921875, "learning_rate": 2.9029070606433787e-06, "loss": 0.6782, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5694 }, { "epoch": 0.7760970291632597, "grad_norm": 0.3828125, "learning_rate": 2.899556000911915e-06, "loss": 0.6966, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5695 }, { "epoch": 0.7762333060779504, "grad_norm": 0.2734375, "learning_rate": 2.8962065485015624e-06, "loss": 0.729, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5696 }, { "epoch": 0.776369582992641, "grad_norm": 0.27734375, "learning_rate": 2.8928587041705382e-06, "loss": 0.7233, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5697 }, { "epoch": 0.7765058599073317, "grad_norm": 0.267578125, "learning_rate": 2.8895124686766806e-06, "loss": 0.6772, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5698 }, { "epoch": 0.7766421368220223, "grad_norm": 0.337890625, "learning_rate": 2.8861678427774865e-06, "loss": 0.7236, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5699 }, { "epoch": 0.776778413736713, "grad_norm": 0.337890625, "learning_rate": 2.882824827230064e-06, "loss": 0.6467, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5700 }, { "epoch": 0.7769146906514036, "grad_norm": 0.255859375, "learning_rate": 2.8794834227911804e-06, "loss": 0.6914, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5701 }, { "epoch": 0.7770509675660943, "grad_norm": 0.31640625, "learning_rate": 2.8761436302172165e-06, "loss": 0.6707, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5702 }, { "epoch": 0.7771872444807849, "grad_norm": 0.3046875, "learning_rate": 2.872805450264202e-06, "loss": 0.6912, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5703 }, { "epoch": 0.7773235213954756, "grad_norm": 0.25390625, "learning_rate": 2.869468883687798e-06, "loss": 0.6827, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5704 }, { "epoch": 0.7774597983101662, "grad_norm": 0.26953125, "learning_rate": 2.866133931243299e-06, "loss": 0.6648, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5705 }, { "epoch": 0.777596075224857, "grad_norm": 0.298828125, "learning_rate": 2.862800593685636e-06, "loss": 0.6692, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5706 }, { "epoch": 0.7777323521395476, "grad_norm": 0.42578125, "learning_rate": 2.859468871769374e-06, "loss": 0.7517, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5707 }, { "epoch": 0.7778686290542383, "grad_norm": 0.37109375, "learning_rate": 2.8561387662487137e-06, "loss": 0.688, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5708 }, { "epoch": 0.7780049059689289, "grad_norm": 0.875, "learning_rate": 2.8528102778774803e-06, "loss": 0.7402, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5709 }, { "epoch": 0.7781411828836196, "grad_norm": 0.314453125, "learning_rate": 2.8494834074091517e-06, "loss": 0.7005, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5710 }, { "epoch": 0.7782774597983102, "grad_norm": 0.2734375, "learning_rate": 2.8461581555968176e-06, "loss": 0.7109, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5711 }, { "epoch": 0.7784137367130008, "grad_norm": 0.3203125, "learning_rate": 2.842834523193223e-06, "loss": 0.6731, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5712 }, { "epoch": 0.7785500136276915, "grad_norm": 0.30078125, "learning_rate": 2.839512510950727e-06, "loss": 0.7516, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5713 }, { "epoch": 0.7786862905423821, "grad_norm": 0.400390625, "learning_rate": 2.836192119621335e-06, "loss": 0.7775, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5714 }, { "epoch": 0.7788225674570728, "grad_norm": 0.287109375, "learning_rate": 2.8328733499566786e-06, "loss": 0.683, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5715 }, { "epoch": 0.7789588443717634, "grad_norm": 0.3046875, "learning_rate": 2.829556202708026e-06, "loss": 0.6772, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5716 }, { "epoch": 0.7790951212864541, "grad_norm": 0.365234375, "learning_rate": 2.8262406786262764e-06, "loss": 0.684, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5717 }, { "epoch": 0.7792313982011447, "grad_norm": 0.328125, "learning_rate": 2.822926778461963e-06, "loss": 0.7922, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5718 }, { "epoch": 0.7793676751158354, "grad_norm": 0.3125, "learning_rate": 2.819614502965249e-06, "loss": 0.7325, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5719 }, { "epoch": 0.779503952030526, "grad_norm": 0.357421875, "learning_rate": 2.816303852885932e-06, "loss": 0.6545, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5720 }, { "epoch": 0.7796402289452167, "grad_norm": 0.326171875, "learning_rate": 2.8129948289734444e-06, "loss": 0.7814, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5721 }, { "epoch": 0.7797765058599073, "grad_norm": 0.302734375, "learning_rate": 2.8096874319768363e-06, "loss": 0.7166, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5722 }, { "epoch": 0.779912782774598, "grad_norm": 0.2734375, "learning_rate": 2.806381662644815e-06, "loss": 0.7401, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5723 }, { "epoch": 0.7800490596892886, "grad_norm": 0.2734375, "learning_rate": 2.803077521725692e-06, "loss": 0.6788, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5724 }, { "epoch": 0.7801853366039793, "grad_norm": 0.28125, "learning_rate": 2.7997750099674282e-06, "loss": 0.6685, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5725 }, { "epoch": 0.7803216135186699, "grad_norm": 0.330078125, "learning_rate": 2.796474128117609e-06, "loss": 0.7796, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5726 }, { "epoch": 0.7804578904333606, "grad_norm": 0.275390625, "learning_rate": 2.7931748769234524e-06, "loss": 0.6618, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5727 }, { "epoch": 0.7805941673480512, "grad_norm": 0.251953125, "learning_rate": 2.789877257131808e-06, "loss": 0.6938, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5728 }, { "epoch": 0.7807304442627419, "grad_norm": 0.447265625, "learning_rate": 2.7865812694891525e-06, "loss": 0.8588, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5729 }, { "epoch": 0.7808667211774325, "grad_norm": 0.306640625, "learning_rate": 2.783286914741599e-06, "loss": 0.6998, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5730 }, { "epoch": 0.7810029980921231, "grad_norm": 0.357421875, "learning_rate": 2.779994193634884e-06, "loss": 0.7797, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5731 }, { "epoch": 0.7811392750068138, "grad_norm": 0.359375, "learning_rate": 2.7767031069143844e-06, "loss": 0.6627, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5732 }, { "epoch": 0.7812755519215046, "grad_norm": 0.48046875, "learning_rate": 2.7734136553250888e-06, "loss": 0.6845, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5733 }, { "epoch": 0.7814118288361952, "grad_norm": 0.30078125, "learning_rate": 2.7701258396116406e-06, "loss": 0.7421, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5734 }, { "epoch": 0.7815481057508858, "grad_norm": 0.34375, "learning_rate": 2.76683966051829e-06, "loss": 0.7663, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5735 }, { "epoch": 0.7816843826655765, "grad_norm": 0.32421875, "learning_rate": 2.7635551187889296e-06, "loss": 0.7658, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5736 }, { "epoch": 0.7818206595802671, "grad_norm": 0.263671875, "learning_rate": 2.760272215167079e-06, "loss": 0.6878, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5737 }, { "epoch": 0.7819569364949578, "grad_norm": 0.34765625, "learning_rate": 2.756990950395886e-06, "loss": 0.7553, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5738 }, { "epoch": 0.7820932134096484, "grad_norm": 0.349609375, "learning_rate": 2.7537113252181257e-06, "loss": 0.6715, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5739 }, { "epoch": 0.7822294903243391, "grad_norm": 0.27734375, "learning_rate": 2.750433340376206e-06, "loss": 0.787, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5740 }, { "epoch": 0.7823657672390297, "grad_norm": 0.3046875, "learning_rate": 2.7471569966121613e-06, "loss": 0.701, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5741 }, { "epoch": 0.7825020441537204, "grad_norm": 0.5546875, "learning_rate": 2.7438822946676534e-06, "loss": 0.6761, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5742 }, { "epoch": 0.782638321068411, "grad_norm": 0.380859375, "learning_rate": 2.7406092352839773e-06, "loss": 0.7138, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5743 }, { "epoch": 0.7827745979831017, "grad_norm": 0.275390625, "learning_rate": 2.737337819202043e-06, "loss": 0.646, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5744 }, { "epoch": 0.7829108748977923, "grad_norm": 0.306640625, "learning_rate": 2.7340680471624106e-06, "loss": 0.7043, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5745 }, { "epoch": 0.783047151812483, "grad_norm": 0.23046875, "learning_rate": 2.730799919905246e-06, "loss": 0.7577, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5746 }, { "epoch": 0.7831834287271736, "grad_norm": 0.31640625, "learning_rate": 2.7275334381703554e-06, "loss": 0.6918, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5747 }, { "epoch": 0.7833197056418643, "grad_norm": 0.48828125, "learning_rate": 2.7242686026971697e-06, "loss": 0.7262, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5748 }, { "epoch": 0.7834559825565549, "grad_norm": 1.890625, "learning_rate": 2.7210054142247465e-06, "loss": 0.7621, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5749 }, { "epoch": 0.7835922594712456, "grad_norm": 0.2421875, "learning_rate": 2.7177438734917704e-06, "loss": 0.6953, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5750 }, { "epoch": 0.7837285363859362, "grad_norm": 1.703125, "learning_rate": 2.7144839812365575e-06, "loss": 0.6591, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5751 }, { "epoch": 0.7838648133006269, "grad_norm": 0.267578125, "learning_rate": 2.7112257381970363e-06, "loss": 0.7827, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5752 }, { "epoch": 0.7840010902153175, "grad_norm": 0.310546875, "learning_rate": 2.707969145110786e-06, "loss": 0.7876, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5753 }, { "epoch": 0.7841373671300081, "grad_norm": 0.287109375, "learning_rate": 2.7047142027149875e-06, "loss": 0.6266, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5754 }, { "epoch": 0.7842736440446988, "grad_norm": 0.53125, "learning_rate": 2.701460911746464e-06, "loss": 0.7099, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5755 }, { "epoch": 0.7844099209593894, "grad_norm": 0.32421875, "learning_rate": 2.698209272941659e-06, "loss": 0.7083, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5756 }, { "epoch": 0.7845461978740801, "grad_norm": 0.2734375, "learning_rate": 2.6949592870366438e-06, "loss": 0.6858, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5757 }, { "epoch": 0.7846824747887707, "grad_norm": 0.35546875, "learning_rate": 2.691710954767114e-06, "loss": 0.7607, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5758 }, { "epoch": 0.7848187517034614, "grad_norm": 0.40234375, "learning_rate": 2.6884642768683923e-06, "loss": 0.6757, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5759 }, { "epoch": 0.7849550286181521, "grad_norm": 0.33203125, "learning_rate": 2.6852192540754265e-06, "loss": 0.7359, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5760 }, { "epoch": 0.7850913055328428, "grad_norm": 0.29296875, "learning_rate": 2.6819758871227886e-06, "loss": 0.6794, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5761 }, { "epoch": 0.7852275824475334, "grad_norm": 0.306640625, "learning_rate": 2.6787341767446806e-06, "loss": 0.7204, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5762 }, { "epoch": 0.7853638593622241, "grad_norm": 0.365234375, "learning_rate": 2.6754941236749154e-06, "loss": 0.6995, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5763 }, { "epoch": 0.7855001362769147, "grad_norm": 0.26171875, "learning_rate": 2.672255728646953e-06, "loss": 0.6814, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5764 }, { "epoch": 0.7856364131916054, "grad_norm": 0.33984375, "learning_rate": 2.669018992393858e-06, "loss": 0.7454, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5765 }, { "epoch": 0.785772690106296, "grad_norm": 0.33984375, "learning_rate": 2.66578391564833e-06, "loss": 0.7071, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5766 }, { "epoch": 0.7859089670209867, "grad_norm": 0.353515625, "learning_rate": 2.662550499142691e-06, "loss": 0.6971, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5767 }, { "epoch": 0.7860452439356773, "grad_norm": 0.267578125, "learning_rate": 2.6593187436088854e-06, "loss": 0.7333, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5768 }, { "epoch": 0.786181520850368, "grad_norm": 0.349609375, "learning_rate": 2.656088649778483e-06, "loss": 0.7306, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5769 }, { "epoch": 0.7863177977650586, "grad_norm": 0.349609375, "learning_rate": 2.652860218382679e-06, "loss": 0.7306, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5770 }, { "epoch": 0.7864540746797493, "grad_norm": 0.400390625, "learning_rate": 2.649633450152288e-06, "loss": 0.8365, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5771 }, { "epoch": 0.7865903515944399, "grad_norm": 0.275390625, "learning_rate": 2.6464083458177513e-06, "loss": 0.6733, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5772 }, { "epoch": 0.7867266285091306, "grad_norm": 0.326171875, "learning_rate": 2.6431849061091364e-06, "loss": 0.6633, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5773 }, { "epoch": 0.7868629054238212, "grad_norm": 0.267578125, "learning_rate": 2.6399631317561212e-06, "loss": 0.724, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5774 }, { "epoch": 0.7869991823385118, "grad_norm": 0.37890625, "learning_rate": 2.6367430234880286e-06, "loss": 0.7297, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5775 }, { "epoch": 0.7871354592532025, "grad_norm": 0.291015625, "learning_rate": 2.6335245820337817e-06, "loss": 0.7093, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5776 }, { "epoch": 0.7872717361678931, "grad_norm": 0.65234375, "learning_rate": 2.63030780812194e-06, "loss": 0.7201, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5777 }, { "epoch": 0.7874080130825838, "grad_norm": 0.296875, "learning_rate": 2.6270927024806804e-06, "loss": 0.6856, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5778 }, { "epoch": 0.7875442899972744, "grad_norm": 0.384765625, "learning_rate": 2.623879265837804e-06, "loss": 0.7345, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5779 }, { "epoch": 0.7876805669119651, "grad_norm": 0.337890625, "learning_rate": 2.6206674989207348e-06, "loss": 0.7103, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5780 }, { "epoch": 0.7878168438266557, "grad_norm": 0.43359375, "learning_rate": 2.617457402456516e-06, "loss": 0.8371, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5781 }, { "epoch": 0.7879531207413464, "grad_norm": 0.275390625, "learning_rate": 2.614248977171815e-06, "loss": 0.7089, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5782 }, { "epoch": 0.788089397656037, "grad_norm": 0.326171875, "learning_rate": 2.61104222379292e-06, "loss": 0.7779, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5783 }, { "epoch": 0.7882256745707277, "grad_norm": 0.29296875, "learning_rate": 2.607837143045744e-06, "loss": 0.6217, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5784 }, { "epoch": 0.7883619514854183, "grad_norm": 0.484375, "learning_rate": 2.604633735655808e-06, "loss": 0.6999, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5785 }, { "epoch": 0.788498228400109, "grad_norm": 0.265625, "learning_rate": 2.601432002348279e-06, "loss": 0.6995, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5786 }, { "epoch": 0.7886345053147997, "grad_norm": 0.2421875, "learning_rate": 2.5982319438479163e-06, "loss": 0.6927, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5787 }, { "epoch": 0.7887707822294904, "grad_norm": 0.3125, "learning_rate": 2.5950335608791278e-06, "loss": 0.7192, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5788 }, { "epoch": 0.788907059144181, "grad_norm": 0.376953125, "learning_rate": 2.5918368541659176e-06, "loss": 0.688, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5789 }, { "epoch": 0.7890433360588717, "grad_norm": 0.298828125, "learning_rate": 2.5886418244319256e-06, "loss": 0.648, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5790 }, { "epoch": 0.7891796129735623, "grad_norm": 0.396484375, "learning_rate": 2.585448472400408e-06, "loss": 0.7463, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5791 }, { "epoch": 0.789315889888253, "grad_norm": 0.28125, "learning_rate": 2.5822567987942404e-06, "loss": 0.6889, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5792 }, { "epoch": 0.7894521668029436, "grad_norm": 0.3046875, "learning_rate": 2.57906680433592e-06, "loss": 0.7267, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5793 }, { "epoch": 0.7895884437176343, "grad_norm": 0.322265625, "learning_rate": 2.575878489747562e-06, "loss": 0.6764, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5794 }, { "epoch": 0.7897247206323249, "grad_norm": 0.27734375, "learning_rate": 2.572691855750905e-06, "loss": 0.6675, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5795 }, { "epoch": 0.7898609975470156, "grad_norm": 0.3125, "learning_rate": 2.569506903067297e-06, "loss": 0.6885, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5796 }, { "epoch": 0.7899972744617062, "grad_norm": 0.283203125, "learning_rate": 2.566323632417724e-06, "loss": 0.7156, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5797 }, { "epoch": 0.7901335513763968, "grad_norm": 0.306640625, "learning_rate": 2.5631420445227673e-06, "loss": 0.6634, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5798 }, { "epoch": 0.7902698282910875, "grad_norm": 0.28125, "learning_rate": 2.559962140102653e-06, "loss": 0.6684, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5799 }, { "epoch": 0.7904061052057781, "grad_norm": 0.3828125, "learning_rate": 2.5567839198772047e-06, "loss": 0.7471, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5800 }, { "epoch": 0.7905423821204688, "grad_norm": 0.263671875, "learning_rate": 2.553607384565876e-06, "loss": 0.7035, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5801 }, { "epoch": 0.7906786590351594, "grad_norm": 0.298828125, "learning_rate": 2.5504325348877344e-06, "loss": 0.6854, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5802 }, { "epoch": 0.7908149359498501, "grad_norm": 0.271484375, "learning_rate": 2.5472593715614734e-06, "loss": 0.7192, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5803 }, { "epoch": 0.7909512128645407, "grad_norm": 0.302734375, "learning_rate": 2.5440878953053894e-06, "loss": 0.6781, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5804 }, { "epoch": 0.7910874897792314, "grad_norm": 0.31640625, "learning_rate": 2.5409181068374144e-06, "loss": 0.7274, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5805 }, { "epoch": 0.791223766693922, "grad_norm": 0.423828125, "learning_rate": 2.537750006875093e-06, "loss": 0.6911, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5806 }, { "epoch": 0.7913600436086127, "grad_norm": 0.2890625, "learning_rate": 2.5345835961355723e-06, "loss": 0.7049, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5807 }, { "epoch": 0.7914963205233033, "grad_norm": 0.279296875, "learning_rate": 2.531418875335645e-06, "loss": 0.7081, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5808 }, { "epoch": 0.791632597437994, "grad_norm": 0.26171875, "learning_rate": 2.528255845191694e-06, "loss": 0.6849, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5809 }, { "epoch": 0.7917688743526846, "grad_norm": 0.29296875, "learning_rate": 2.525094506419742e-06, "loss": 0.7572, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5810 }, { "epoch": 0.7919051512673753, "grad_norm": 0.248046875, "learning_rate": 2.52193485973541e-06, "loss": 0.6728, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5811 }, { "epoch": 0.7920414281820659, "grad_norm": 0.3046875, "learning_rate": 2.518776905853948e-06, "loss": 0.7445, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5812 }, { "epoch": 0.7921777050967566, "grad_norm": 0.267578125, "learning_rate": 2.515620645490219e-06, "loss": 0.6564, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5813 }, { "epoch": 0.7923139820114473, "grad_norm": 0.30859375, "learning_rate": 2.5124660793587053e-06, "loss": 0.6997, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5814 }, { "epoch": 0.792450258926138, "grad_norm": 0.373046875, "learning_rate": 2.509313208173495e-06, "loss": 0.8061, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5815 }, { "epoch": 0.7925865358408286, "grad_norm": 0.2734375, "learning_rate": 2.5061620326483116e-06, "loss": 0.7125, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5816 }, { "epoch": 0.7927228127555193, "grad_norm": 0.287109375, "learning_rate": 2.5030125534964724e-06, "loss": 0.6989, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5817 }, { "epoch": 0.7928590896702099, "grad_norm": 0.34375, "learning_rate": 2.499864771430934e-06, "loss": 0.79, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5818 }, { "epoch": 0.7929953665849006, "grad_norm": 0.302734375, "learning_rate": 2.496718687164248e-06, "loss": 0.7131, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5819 }, { "epoch": 0.7931316434995912, "grad_norm": 0.396484375, "learning_rate": 2.4935743014085943e-06, "loss": 0.7316, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5820 }, { "epoch": 0.7932679204142818, "grad_norm": 0.328125, "learning_rate": 2.4904316148757648e-06, "loss": 0.6934, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5821 }, { "epoch": 0.7934041973289725, "grad_norm": 0.271484375, "learning_rate": 2.487290628277166e-06, "loss": 0.7107, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5822 }, { "epoch": 0.7935404742436631, "grad_norm": 0.435546875, "learning_rate": 2.4841513423238196e-06, "loss": 0.684, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5823 }, { "epoch": 0.7936767511583538, "grad_norm": 0.328125, "learning_rate": 2.481013757726363e-06, "loss": 0.6816, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5824 }, { "epoch": 0.7938130280730444, "grad_norm": 0.3359375, "learning_rate": 2.4778778751950525e-06, "loss": 0.6639, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5825 }, { "epoch": 0.7939493049877351, "grad_norm": 0.28125, "learning_rate": 2.4747436954397465e-06, "loss": 0.7249, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5826 }, { "epoch": 0.7940855819024257, "grad_norm": 0.28125, "learning_rate": 2.471611219169936e-06, "loss": 0.6608, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5827 }, { "epoch": 0.7942218588171164, "grad_norm": 0.328125, "learning_rate": 2.4684804470947064e-06, "loss": 0.7651, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5828 }, { "epoch": 0.794358135731807, "grad_norm": 0.357421875, "learning_rate": 2.46535137992278e-06, "loss": 0.7102, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5829 }, { "epoch": 0.7944944126464977, "grad_norm": 0.37109375, "learning_rate": 2.4622240183624725e-06, "loss": 0.6412, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5830 }, { "epoch": 0.7946306895611883, "grad_norm": 0.271484375, "learning_rate": 2.4590983631217224e-06, "loss": 0.7625, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5831 }, { "epoch": 0.794766966475879, "grad_norm": 0.2470703125, "learning_rate": 2.4559744149080846e-06, "loss": 0.6696, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5832 }, { "epoch": 0.7949032433905696, "grad_norm": 0.34375, "learning_rate": 2.4528521744287213e-06, "loss": 0.7635, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5833 }, { "epoch": 0.7950395203052603, "grad_norm": 0.326171875, "learning_rate": 2.449731642390414e-06, "loss": 0.7589, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5834 }, { "epoch": 0.7951757972199509, "grad_norm": 0.330078125, "learning_rate": 2.446612819499552e-06, "loss": 0.6653, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5835 }, { "epoch": 0.7953120741346416, "grad_norm": 0.33984375, "learning_rate": 2.4434957064621436e-06, "loss": 0.6489, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5836 }, { "epoch": 0.7954483510493322, "grad_norm": 0.326171875, "learning_rate": 2.440380303983805e-06, "loss": 0.6956, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5837 }, { "epoch": 0.7955846279640229, "grad_norm": 0.3203125, "learning_rate": 2.4372666127697695e-06, "loss": 0.6681, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5838 }, { "epoch": 0.7957209048787135, "grad_norm": 0.33984375, "learning_rate": 2.4341546335248724e-06, "loss": 0.7074, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5839 }, { "epoch": 0.7958571817934041, "grad_norm": 0.302734375, "learning_rate": 2.431044366953582e-06, "loss": 0.6903, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5840 }, { "epoch": 0.7959934587080949, "grad_norm": 0.30078125, "learning_rate": 2.4279358137599574e-06, "loss": 0.7165, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5841 }, { "epoch": 0.7961297356227856, "grad_norm": 0.2890625, "learning_rate": 2.4248289746476815e-06, "loss": 0.7164, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5842 }, { "epoch": 0.7962660125374762, "grad_norm": 0.322265625, "learning_rate": 2.4217238503200467e-06, "loss": 0.719, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5843 }, { "epoch": 0.7964022894521668, "grad_norm": 0.283203125, "learning_rate": 2.4186204414799576e-06, "loss": 0.7106, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5844 }, { "epoch": 0.7965385663668575, "grad_norm": 0.32421875, "learning_rate": 2.4155187488299303e-06, "loss": 0.7055, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5845 }, { "epoch": 0.7966748432815481, "grad_norm": 0.484375, "learning_rate": 2.4124187730720916e-06, "loss": 0.697, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5846 }, { "epoch": 0.7968111201962388, "grad_norm": 0.279296875, "learning_rate": 2.40932051490818e-06, "loss": 0.6245, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5847 }, { "epoch": 0.7969473971109294, "grad_norm": 0.25390625, "learning_rate": 2.4062239750395456e-06, "loss": 0.7025, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5848 }, { "epoch": 0.7970836740256201, "grad_norm": 0.294921875, "learning_rate": 2.403129154167153e-06, "loss": 0.8081, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5849 }, { "epoch": 0.7972199509403107, "grad_norm": 0.578125, "learning_rate": 2.4000360529915645e-06, "loss": 0.849, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5850 }, { "epoch": 0.7973562278550014, "grad_norm": 0.3046875, "learning_rate": 2.3969446722129743e-06, "loss": 0.7089, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5851 }, { "epoch": 0.797492504769692, "grad_norm": 0.373046875, "learning_rate": 2.3938550125311667e-06, "loss": 0.7497, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5852 }, { "epoch": 0.7976287816843827, "grad_norm": 0.357421875, "learning_rate": 2.390767074645549e-06, "loss": 0.7635, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5853 }, { "epoch": 0.7977650585990733, "grad_norm": 0.482421875, "learning_rate": 2.3876808592551337e-06, "loss": 0.7132, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5854 }, { "epoch": 0.797901335513764, "grad_norm": 0.34375, "learning_rate": 2.384596367058545e-06, "loss": 0.7426, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5855 }, { "epoch": 0.7980376124284546, "grad_norm": 0.34765625, "learning_rate": 2.3815135987540173e-06, "loss": 0.7565, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5856 }, { "epoch": 0.7981738893431453, "grad_norm": 0.33984375, "learning_rate": 2.3784325550393925e-06, "loss": 0.7851, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5857 }, { "epoch": 0.7983101662578359, "grad_norm": 0.4296875, "learning_rate": 2.375353236612127e-06, "loss": 0.7875, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5858 }, { "epoch": 0.7984464431725266, "grad_norm": 0.251953125, "learning_rate": 2.3722756441692786e-06, "loss": 0.6903, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5859 }, { "epoch": 0.7985827200872172, "grad_norm": 0.306640625, "learning_rate": 2.369199778407526e-06, "loss": 0.7797, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5860 }, { "epoch": 0.7987189970019078, "grad_norm": 0.28515625, "learning_rate": 2.366125640023139e-06, "loss": 0.7215, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5861 }, { "epoch": 0.7988552739165985, "grad_norm": 0.31640625, "learning_rate": 2.3630532297120213e-06, "loss": 0.6506, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5862 }, { "epoch": 0.7989915508312891, "grad_norm": 0.27734375, "learning_rate": 2.3599825481696603e-06, "loss": 0.6674, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5863 }, { "epoch": 0.7991278277459798, "grad_norm": 0.302734375, "learning_rate": 2.3569135960911683e-06, "loss": 0.6642, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5864 }, { "epoch": 0.7992641046606704, "grad_norm": 0.33203125, "learning_rate": 2.3538463741712613e-06, "loss": 0.7016, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5865 }, { "epoch": 0.7994003815753611, "grad_norm": 0.2265625, "learning_rate": 2.3507808831042624e-06, "loss": 0.6386, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5866 }, { "epoch": 0.7995366584900517, "grad_norm": 0.2578125, "learning_rate": 2.3477171235841046e-06, "loss": 0.7351, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5867 }, { "epoch": 0.7996729354047425, "grad_norm": 0.328125, "learning_rate": 2.3446550963043312e-06, "loss": 0.7001, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5868 }, { "epoch": 0.7998092123194331, "grad_norm": 0.267578125, "learning_rate": 2.3415948019580826e-06, "loss": 0.7155, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5869 }, { "epoch": 0.7999454892341238, "grad_norm": 0.2890625, "learning_rate": 2.338536241238122e-06, "loss": 0.6595, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5870 }, { "epoch": 0.8000817661488144, "grad_norm": 0.2734375, "learning_rate": 2.3354794148368143e-06, "loss": 0.7007, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5871 }, { "epoch": 0.8002180430635051, "grad_norm": 0.275390625, "learning_rate": 2.332424323446122e-06, "loss": 0.7202, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5872 }, { "epoch": 0.8003543199781957, "grad_norm": 0.28125, "learning_rate": 2.3293709677576336e-06, "loss": 0.6718, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5873 }, { "epoch": 0.8004905968928864, "grad_norm": 0.3046875, "learning_rate": 2.326319348462527e-06, "loss": 0.7458, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5874 }, { "epoch": 0.800626873807577, "grad_norm": 0.287109375, "learning_rate": 2.3232694662515966e-06, "loss": 0.6724, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5875 }, { "epoch": 0.8007631507222677, "grad_norm": 0.232421875, "learning_rate": 2.3202213218152425e-06, "loss": 0.6575, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5876 }, { "epoch": 0.8008994276369583, "grad_norm": 0.28515625, "learning_rate": 2.3171749158434697e-06, "loss": 0.8424, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5877 }, { "epoch": 0.801035704551649, "grad_norm": 0.37890625, "learning_rate": 2.314130249025891e-06, "loss": 0.754, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5878 }, { "epoch": 0.8011719814663396, "grad_norm": 0.31640625, "learning_rate": 2.311087322051727e-06, "loss": 0.7293, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5879 }, { "epoch": 0.8013082583810303, "grad_norm": 0.3046875, "learning_rate": 2.3080461356097938e-06, "loss": 0.7302, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5880 }, { "epoch": 0.8014445352957209, "grad_norm": 0.267578125, "learning_rate": 2.305006690388534e-06, "loss": 0.682, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5881 }, { "epoch": 0.8015808122104116, "grad_norm": 0.3203125, "learning_rate": 2.301968987075974e-06, "loss": 0.7793, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5882 }, { "epoch": 0.8017170891251022, "grad_norm": 0.609375, "learning_rate": 2.298933026359762e-06, "loss": 0.6906, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5883 }, { "epoch": 0.8018533660397928, "grad_norm": 0.35546875, "learning_rate": 2.2958988089271426e-06, "loss": 0.757, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5884 }, { "epoch": 0.8019896429544835, "grad_norm": 0.3671875, "learning_rate": 2.2928663354649703e-06, "loss": 0.71, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5885 }, { "epoch": 0.8021259198691741, "grad_norm": 0.259765625, "learning_rate": 2.2898356066597026e-06, "loss": 0.7338, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5886 }, { "epoch": 0.8022621967838648, "grad_norm": 0.3671875, "learning_rate": 2.286806623197404e-06, "loss": 0.7085, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5887 }, { "epoch": 0.8023984736985554, "grad_norm": 0.376953125, "learning_rate": 2.2837793857637414e-06, "loss": 0.6638, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5888 }, { "epoch": 0.8025347506132461, "grad_norm": 0.314453125, "learning_rate": 2.280753895043989e-06, "loss": 0.6507, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5889 }, { "epoch": 0.8026710275279367, "grad_norm": 0.443359375, "learning_rate": 2.2777301517230265e-06, "loss": 0.6978, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5890 }, { "epoch": 0.8028073044426274, "grad_norm": 0.236328125, "learning_rate": 2.274708156485328e-06, "loss": 0.7506, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5891 }, { "epoch": 0.802943581357318, "grad_norm": 0.412109375, "learning_rate": 2.27168791001499e-06, "loss": 0.7037, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5892 }, { "epoch": 0.8030798582720087, "grad_norm": 0.70703125, "learning_rate": 2.2686694129956965e-06, "loss": 0.8198, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5893 }, { "epoch": 0.8032161351866993, "grad_norm": 0.26171875, "learning_rate": 2.2656526661107426e-06, "loss": 0.7156, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5894 }, { "epoch": 0.8033524121013901, "grad_norm": 0.2578125, "learning_rate": 2.2626376700430286e-06, "loss": 0.7188, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5895 }, { "epoch": 0.8034886890160807, "grad_norm": 0.283203125, "learning_rate": 2.2596244254750545e-06, "loss": 0.7522, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5896 }, { "epoch": 0.8036249659307714, "grad_norm": 0.314453125, "learning_rate": 2.2566129330889274e-06, "loss": 0.6634, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5897 }, { "epoch": 0.803761242845462, "grad_norm": 0.296875, "learning_rate": 2.253603193566355e-06, "loss": 0.7132, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5898 }, { "epoch": 0.8038975197601527, "grad_norm": 0.244140625, "learning_rate": 2.2505952075886495e-06, "loss": 0.6264, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5899 }, { "epoch": 0.8040337966748433, "grad_norm": 0.296875, "learning_rate": 2.2475889758367265e-06, "loss": 0.7176, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5900 }, { "epoch": 0.804170073589534, "grad_norm": 0.26953125, "learning_rate": 2.244584498991107e-06, "loss": 0.7201, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5901 }, { "epoch": 0.8043063505042246, "grad_norm": 0.3203125, "learning_rate": 2.2415817777319027e-06, "loss": 0.7396, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5902 }, { "epoch": 0.8044426274189153, "grad_norm": 0.296875, "learning_rate": 2.2385808127388477e-06, "loss": 0.6892, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5903 }, { "epoch": 0.8045789043336059, "grad_norm": 1.015625, "learning_rate": 2.2355816046912572e-06, "loss": 0.6908, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5904 }, { "epoch": 0.8047151812482966, "grad_norm": 0.404296875, "learning_rate": 2.2325841542680706e-06, "loss": 0.7452, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5905 }, { "epoch": 0.8048514581629872, "grad_norm": 0.291015625, "learning_rate": 2.229588462147808e-06, "loss": 0.6663, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5906 }, { "epoch": 0.8049877350776778, "grad_norm": 0.345703125, "learning_rate": 2.2265945290086066e-06, "loss": 0.6677, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5907 }, { "epoch": 0.8051240119923685, "grad_norm": 0.37109375, "learning_rate": 2.2236023555281995e-06, "loss": 0.7271, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5908 }, { "epoch": 0.8052602889070591, "grad_norm": 0.248046875, "learning_rate": 2.2206119423839222e-06, "loss": 0.7121, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5909 }, { "epoch": 0.8053965658217498, "grad_norm": 0.27734375, "learning_rate": 2.2176232902527116e-06, "loss": 0.7323, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5910 }, { "epoch": 0.8055328427364404, "grad_norm": 0.345703125, "learning_rate": 2.2146363998111077e-06, "loss": 0.7447, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5911 }, { "epoch": 0.8056691196511311, "grad_norm": 0.279296875, "learning_rate": 2.21165127173525e-06, "loss": 0.6898, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5912 }, { "epoch": 0.8058053965658217, "grad_norm": 0.26953125, "learning_rate": 2.208667906700873e-06, "loss": 0.6414, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5913 }, { "epoch": 0.8059416734805124, "grad_norm": 0.275390625, "learning_rate": 2.20568630538333e-06, "loss": 0.6755, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5914 }, { "epoch": 0.806077950395203, "grad_norm": 0.298828125, "learning_rate": 2.2027064684575505e-06, "loss": 0.6481, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5915 }, { "epoch": 0.8062142273098937, "grad_norm": 0.28515625, "learning_rate": 2.19972839659809e-06, "loss": 0.6896, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5916 }, { "epoch": 0.8063505042245843, "grad_norm": 0.337890625, "learning_rate": 2.196752090479083e-06, "loss": 0.6954, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5917 }, { "epoch": 0.806486781139275, "grad_norm": 0.263671875, "learning_rate": 2.1937775507742764e-06, "loss": 0.6669, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5918 }, { "epoch": 0.8066230580539656, "grad_norm": 0.31640625, "learning_rate": 2.190804778157013e-06, "loss": 0.7383, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5919 }, { "epoch": 0.8067593349686563, "grad_norm": 0.279296875, "learning_rate": 2.1878337733002385e-06, "loss": 0.7553, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5920 }, { "epoch": 0.8068956118833469, "grad_norm": 0.578125, "learning_rate": 2.184864536876494e-06, "loss": 0.6643, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5921 }, { "epoch": 0.8070318887980377, "grad_norm": 0.263671875, "learning_rate": 2.1818970695579267e-06, "loss": 0.7183, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5922 }, { "epoch": 0.8071681657127283, "grad_norm": 0.3671875, "learning_rate": 2.1789313720162786e-06, "loss": 0.6999, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5923 }, { "epoch": 0.807304442627419, "grad_norm": 0.369140625, "learning_rate": 2.1759674449228852e-06, "loss": 0.7628, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5924 }, { "epoch": 0.8074407195421096, "grad_norm": 0.498046875, "learning_rate": 2.1730052889486984e-06, "loss": 0.6582, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5925 }, { "epoch": 0.8075769964568003, "grad_norm": 0.3359375, "learning_rate": 2.1700449047642493e-06, "loss": 0.6896, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5926 }, { "epoch": 0.8077132733714909, "grad_norm": 0.294921875, "learning_rate": 2.167086293039686e-06, "loss": 0.6126, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5927 }, { "epoch": 0.8078495502861816, "grad_norm": 0.466796875, "learning_rate": 2.1641294544447423e-06, "loss": 0.7664, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5928 }, { "epoch": 0.8079858272008722, "grad_norm": 0.6015625, "learning_rate": 2.1611743896487534e-06, "loss": 0.6875, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5929 }, { "epoch": 0.8081221041155628, "grad_norm": 0.265625, "learning_rate": 2.158221099320658e-06, "loss": 0.717, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5930 }, { "epoch": 0.8082583810302535, "grad_norm": 0.322265625, "learning_rate": 2.1552695841289905e-06, "loss": 0.7381, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5931 }, { "epoch": 0.8083946579449441, "grad_norm": 0.384765625, "learning_rate": 2.1523198447418748e-06, "loss": 0.6804, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5932 }, { "epoch": 0.8085309348596348, "grad_norm": 0.353515625, "learning_rate": 2.149371881827053e-06, "loss": 0.6799, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5933 }, { "epoch": 0.8086672117743254, "grad_norm": 0.333984375, "learning_rate": 2.1464256960518405e-06, "loss": 0.6888, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5934 }, { "epoch": 0.8088034886890161, "grad_norm": 0.306640625, "learning_rate": 2.143481288083171e-06, "loss": 0.7164, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5935 }, { "epoch": 0.8089397656037067, "grad_norm": 0.314453125, "learning_rate": 2.1405386585875697e-06, "loss": 0.7394, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5936 }, { "epoch": 0.8090760425183974, "grad_norm": 0.33203125, "learning_rate": 2.1375978082311453e-06, "loss": 0.6773, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5937 }, { "epoch": 0.809212319433088, "grad_norm": 0.279296875, "learning_rate": 2.134658737679629e-06, "loss": 0.6925, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5938 }, { "epoch": 0.8093485963477787, "grad_norm": 0.361328125, "learning_rate": 2.131721447598326e-06, "loss": 0.7676, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5939 }, { "epoch": 0.8094848732624693, "grad_norm": 0.306640625, "learning_rate": 2.1287859386521513e-06, "loss": 0.7019, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5940 }, { "epoch": 0.80962115017716, "grad_norm": 0.322265625, "learning_rate": 2.1258522115056137e-06, "loss": 0.6677, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5941 }, { "epoch": 0.8097574270918506, "grad_norm": 0.3515625, "learning_rate": 2.1229202668228197e-06, "loss": 0.7585, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5942 }, { "epoch": 0.8098937040065413, "grad_norm": 0.5859375, "learning_rate": 2.1199901052674642e-06, "loss": 0.8176, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5943 }, { "epoch": 0.8100299809212319, "grad_norm": 0.478515625, "learning_rate": 2.117061727502856e-06, "loss": 0.7566, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5944 }, { "epoch": 0.8101662578359226, "grad_norm": 0.26953125, "learning_rate": 2.114135134191878e-06, "loss": 0.7638, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5945 }, { "epoch": 0.8103025347506132, "grad_norm": 0.306640625, "learning_rate": 2.1112103259970318e-06, "loss": 0.7251, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5946 }, { "epoch": 0.8104388116653038, "grad_norm": 0.4609375, "learning_rate": 2.1082873035803954e-06, "loss": 0.7662, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5947 }, { "epoch": 0.8105750885799945, "grad_norm": 0.259765625, "learning_rate": 2.1053660676036525e-06, "loss": 0.6348, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5948 }, { "epoch": 0.8107113654946853, "grad_norm": 0.330078125, "learning_rate": 2.1024466187280823e-06, "loss": 0.6912, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5949 }, { "epoch": 0.8108476424093759, "grad_norm": 0.236328125, "learning_rate": 2.099528957614556e-06, "loss": 0.7173, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5950 }, { "epoch": 0.8109839193240665, "grad_norm": 0.296875, "learning_rate": 2.0966130849235433e-06, "loss": 0.6917, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5951 }, { "epoch": 0.8111201962387572, "grad_norm": 0.384765625, "learning_rate": 2.093699001315107e-06, "loss": 0.8247, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5952 }, { "epoch": 0.8112564731534478, "grad_norm": 0.314453125, "learning_rate": 2.0907867074489064e-06, "loss": 0.699, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5953 }, { "epoch": 0.8113927500681385, "grad_norm": 0.310546875, "learning_rate": 2.087876203984194e-06, "loss": 0.7154, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5954 }, { "epoch": 0.8115290269828291, "grad_norm": 0.431640625, "learning_rate": 2.08496749157982e-06, "loss": 0.7725, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5955 }, { "epoch": 0.8116653038975198, "grad_norm": 0.310546875, "learning_rate": 2.0820605708942197e-06, "loss": 0.6928, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5956 }, { "epoch": 0.8118015808122104, "grad_norm": 0.57421875, "learning_rate": 2.079155442585442e-06, "loss": 0.7552, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5957 }, { "epoch": 0.8119378577269011, "grad_norm": 0.275390625, "learning_rate": 2.076252107311109e-06, "loss": 0.7131, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5958 }, { "epoch": 0.8120741346415917, "grad_norm": 0.453125, "learning_rate": 2.073350565728448e-06, "loss": 0.6826, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5959 }, { "epoch": 0.8122104115562824, "grad_norm": 0.2421875, "learning_rate": 2.0704508184942797e-06, "loss": 0.6414, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5960 }, { "epoch": 0.812346688470973, "grad_norm": 0.3984375, "learning_rate": 2.0675528662650157e-06, "loss": 0.7708, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5961 }, { "epoch": 0.8124829653856637, "grad_norm": 0.326171875, "learning_rate": 2.064656709696664e-06, "loss": 0.717, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5962 }, { "epoch": 0.8126192423003543, "grad_norm": 0.3203125, "learning_rate": 2.0617623494448257e-06, "loss": 0.6963, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5963 }, { "epoch": 0.812755519215045, "grad_norm": 0.33203125, "learning_rate": 2.0588697861646935e-06, "loss": 0.7152, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5964 }, { "epoch": 0.8128917961297356, "grad_norm": 0.390625, "learning_rate": 2.055979020511054e-06, "loss": 0.7451, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5965 }, { "epoch": 0.8130280730444263, "grad_norm": 0.349609375, "learning_rate": 2.05309005313829e-06, "loss": 0.7881, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5966 }, { "epoch": 0.8131643499591169, "grad_norm": 0.349609375, "learning_rate": 2.0502028847003672e-06, "loss": 0.7459, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5967 }, { "epoch": 0.8133006268738076, "grad_norm": 0.27734375, "learning_rate": 2.047317515850862e-06, "loss": 0.7339, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5968 }, { "epoch": 0.8134369037884982, "grad_norm": 0.27734375, "learning_rate": 2.0444339472429243e-06, "loss": 0.76, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5969 }, { "epoch": 0.8135731807031888, "grad_norm": 0.41015625, "learning_rate": 2.041552179529307e-06, "loss": 0.6972, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5970 }, { "epoch": 0.8137094576178795, "grad_norm": 0.26953125, "learning_rate": 2.038672213362354e-06, "loss": 0.7074, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5971 }, { "epoch": 0.8138457345325701, "grad_norm": 0.337890625, "learning_rate": 2.0357940493940007e-06, "loss": 0.6626, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5972 }, { "epoch": 0.8139820114472608, "grad_norm": 0.2353515625, "learning_rate": 2.032917688275774e-06, "loss": 0.6577, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5973 }, { "epoch": 0.8141182883619514, "grad_norm": 0.3671875, "learning_rate": 2.0300431306587943e-06, "loss": 0.7733, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5974 }, { "epoch": 0.8142545652766421, "grad_norm": 0.30859375, "learning_rate": 2.0271703771937713e-06, "loss": 0.7799, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5975 }, { "epoch": 0.8143908421913328, "grad_norm": 0.33984375, "learning_rate": 2.024299428531007e-06, "loss": 0.7725, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5976 }, { "epoch": 0.8145271191060235, "grad_norm": 0.32421875, "learning_rate": 2.0214302853204003e-06, "loss": 0.7083, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5977 }, { "epoch": 0.8146633960207141, "grad_norm": 0.25390625, "learning_rate": 2.0185629482114278e-06, "loss": 0.6576, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5978 }, { "epoch": 0.8147996729354048, "grad_norm": 0.298828125, "learning_rate": 2.0156974178531763e-06, "loss": 0.7058, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5979 }, { "epoch": 0.8149359498500954, "grad_norm": 0.337890625, "learning_rate": 2.012833694894305e-06, "loss": 0.767, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5980 }, { "epoch": 0.8150722267647861, "grad_norm": 0.244140625, "learning_rate": 2.0099717799830754e-06, "loss": 0.7459, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5981 }, { "epoch": 0.8152085036794767, "grad_norm": 0.30859375, "learning_rate": 2.007111673767337e-06, "loss": 0.6827, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5982 }, { "epoch": 0.8153447805941674, "grad_norm": 0.279296875, "learning_rate": 2.004253376894528e-06, "loss": 0.7009, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5983 }, { "epoch": 0.815481057508858, "grad_norm": 0.33984375, "learning_rate": 2.001396890011681e-06, "loss": 0.6778, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5984 }, { "epoch": 0.8156173344235487, "grad_norm": 0.26953125, "learning_rate": 1.9985422137654143e-06, "loss": 0.624, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5985 }, { "epoch": 0.8157536113382393, "grad_norm": 0.302734375, "learning_rate": 1.995689348801938e-06, "loss": 0.6898, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5986 }, { "epoch": 0.81588988825293, "grad_norm": 0.3828125, "learning_rate": 1.9928382957670543e-06, "loss": 0.7215, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5987 }, { "epoch": 0.8160261651676206, "grad_norm": 0.3359375, "learning_rate": 1.9899890553061565e-06, "loss": 0.7677, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5988 }, { "epoch": 0.8161624420823113, "grad_norm": 0.359375, "learning_rate": 1.9871416280642142e-06, "loss": 0.7624, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5989 }, { "epoch": 0.8162987189970019, "grad_norm": 0.294921875, "learning_rate": 1.984296014685809e-06, "loss": 0.6791, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5990 }, { "epoch": 0.8164349959116926, "grad_norm": 0.294921875, "learning_rate": 1.9814522158150917e-06, "loss": 0.7398, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5991 }, { "epoch": 0.8165712728263832, "grad_norm": 0.283203125, "learning_rate": 1.9786102320958132e-06, "loss": 0.6922, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5992 }, { "epoch": 0.8167075497410738, "grad_norm": 0.265625, "learning_rate": 1.9757700641713116e-06, "loss": 0.6827, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5993 }, { "epoch": 0.8168438266557645, "grad_norm": 0.2431640625, "learning_rate": 1.9729317126845115e-06, "loss": 0.6502, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5994 }, { "epoch": 0.8169801035704551, "grad_norm": 0.32421875, "learning_rate": 1.97009517827793e-06, "loss": 0.6295, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5995 }, { "epoch": 0.8171163804851458, "grad_norm": 0.3984375, "learning_rate": 1.967260461593671e-06, "loss": 0.7836, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5996 }, { "epoch": 0.8172526573998364, "grad_norm": 0.328125, "learning_rate": 1.9644275632734213e-06, "loss": 0.66, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5997 }, { "epoch": 0.8173889343145271, "grad_norm": 0.37890625, "learning_rate": 1.96159648395847e-06, "loss": 0.6782, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5998 }, { "epoch": 0.8175252112292177, "grad_norm": 0.2490234375, "learning_rate": 1.9587672242896792e-06, "loss": 0.679, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 5999 }, { "epoch": 0.8176614881439084, "grad_norm": 0.294921875, "learning_rate": 1.9559397849075057e-06, "loss": 0.7092, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6000 }, { "epoch": 0.817797765058599, "grad_norm": 0.388671875, "learning_rate": 1.9531141664520025e-06, "loss": 0.7311, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6001 }, { "epoch": 0.8179340419732897, "grad_norm": 0.46484375, "learning_rate": 1.950290369562792e-06, "loss": 0.7039, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6002 }, { "epoch": 0.8180703188879804, "grad_norm": 0.30859375, "learning_rate": 1.947468394879104e-06, "loss": 0.7135, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6003 }, { "epoch": 0.8182065958026711, "grad_norm": 0.35546875, "learning_rate": 1.9446482430397383e-06, "loss": 0.7227, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6004 }, { "epoch": 0.8183428727173617, "grad_norm": 0.3828125, "learning_rate": 1.9418299146830953e-06, "loss": 0.7409, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6005 }, { "epoch": 0.8184791496320524, "grad_norm": 0.474609375, "learning_rate": 1.9390134104471548e-06, "loss": 0.6951, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6006 }, { "epoch": 0.818615426546743, "grad_norm": 0.310546875, "learning_rate": 1.93619873096949e-06, "loss": 0.6916, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6007 }, { "epoch": 0.8187517034614337, "grad_norm": 0.3203125, "learning_rate": 1.9333858768872492e-06, "loss": 0.725, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6008 }, { "epoch": 0.8188879803761243, "grad_norm": 0.404296875, "learning_rate": 1.9305748488371866e-06, "loss": 0.7936, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6009 }, { "epoch": 0.819024257290815, "grad_norm": 0.291015625, "learning_rate": 1.927765647455624e-06, "loss": 0.665, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6010 }, { "epoch": 0.8191605342055056, "grad_norm": 0.298828125, "learning_rate": 1.92495827337848e-06, "loss": 0.6611, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6011 }, { "epoch": 0.8192968111201963, "grad_norm": 0.345703125, "learning_rate": 1.9221527272412576e-06, "loss": 0.7589, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6012 }, { "epoch": 0.8194330880348869, "grad_norm": 0.3671875, "learning_rate": 1.9193490096790466e-06, "loss": 0.7829, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6013 }, { "epoch": 0.8195693649495776, "grad_norm": 0.341796875, "learning_rate": 1.916547121326521e-06, "loss": 0.7734, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6014 }, { "epoch": 0.8197056418642682, "grad_norm": 0.369140625, "learning_rate": 1.913747062817941e-06, "loss": 0.7, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6015 }, { "epoch": 0.8198419187789588, "grad_norm": 0.380859375, "learning_rate": 1.910948834787155e-06, "loss": 0.66, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6016 }, { "epoch": 0.8199781956936495, "grad_norm": 0.26953125, "learning_rate": 1.9081524378675955e-06, "loss": 0.7264, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6017 }, { "epoch": 0.8201144726083401, "grad_norm": 0.2578125, "learning_rate": 1.9053578726922805e-06, "loss": 0.7041, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6018 }, { "epoch": 0.8202507495230308, "grad_norm": 0.93359375, "learning_rate": 1.9025651398938083e-06, "loss": 0.6598, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6019 }, { "epoch": 0.8203870264377214, "grad_norm": 0.29296875, "learning_rate": 1.8997742401043762e-06, "loss": 0.7698, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6020 }, { "epoch": 0.8205233033524121, "grad_norm": 0.455078125, "learning_rate": 1.89698517395575e-06, "loss": 0.6663, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6021 }, { "epoch": 0.8206595802671027, "grad_norm": 0.4765625, "learning_rate": 1.89419794207929e-06, "loss": 0.656, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6022 }, { "epoch": 0.8207958571817934, "grad_norm": 0.306640625, "learning_rate": 1.8914125451059417e-06, "loss": 0.7212, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6023 }, { "epoch": 0.820932134096484, "grad_norm": 0.5078125, "learning_rate": 1.8886289836662297e-06, "loss": 0.7069, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6024 }, { "epoch": 0.8210684110111747, "grad_norm": 0.32421875, "learning_rate": 1.88584725839027e-06, "loss": 0.7713, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6025 }, { "epoch": 0.8212046879258653, "grad_norm": 0.28125, "learning_rate": 1.8830673699077552e-06, "loss": 0.7647, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6026 }, { "epoch": 0.821340964840556, "grad_norm": 0.4140625, "learning_rate": 1.8802893188479687e-06, "loss": 0.7394, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6027 }, { "epoch": 0.8214772417552466, "grad_norm": 0.3125, "learning_rate": 1.8775131058397756e-06, "loss": 0.6896, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6028 }, { "epoch": 0.8216135186699373, "grad_norm": 0.375, "learning_rate": 1.8747387315116261e-06, "loss": 0.7538, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6029 }, { "epoch": 0.821749795584628, "grad_norm": 0.65234375, "learning_rate": 1.871966196491546e-06, "loss": 0.7036, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6030 }, { "epoch": 0.8218860724993187, "grad_norm": 0.322265625, "learning_rate": 1.8691955014071606e-06, "loss": 0.746, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6031 }, { "epoch": 0.8220223494140093, "grad_norm": 0.37109375, "learning_rate": 1.8664266468856607e-06, "loss": 0.6879, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6032 }, { "epoch": 0.8221586263287, "grad_norm": 0.337890625, "learning_rate": 1.8636596335538393e-06, "loss": 0.7205, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6033 }, { "epoch": 0.8222949032433906, "grad_norm": 0.2890625, "learning_rate": 1.8608944620380543e-06, "loss": 0.6927, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6034 }, { "epoch": 0.8224311801580813, "grad_norm": 0.306640625, "learning_rate": 1.8581311329642592e-06, "loss": 0.7715, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6035 }, { "epoch": 0.8225674570727719, "grad_norm": 0.328125, "learning_rate": 1.855369646957984e-06, "loss": 0.7686, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6036 }, { "epoch": 0.8227037339874625, "grad_norm": 0.314453125, "learning_rate": 1.8526100046443464e-06, "loss": 0.739, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6037 }, { "epoch": 0.8228400109021532, "grad_norm": 0.287109375, "learning_rate": 1.8498522066480428e-06, "loss": 0.6813, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6038 }, { "epoch": 0.8229762878168438, "grad_norm": 0.345703125, "learning_rate": 1.8470962535933535e-06, "loss": 0.7398, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6039 }, { "epoch": 0.8231125647315345, "grad_norm": 0.41015625, "learning_rate": 1.8443421461041434e-06, "loss": 0.7739, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6040 }, { "epoch": 0.8232488416462251, "grad_norm": 0.458984375, "learning_rate": 1.8415898848038493e-06, "loss": 0.8079, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6041 }, { "epoch": 0.8233851185609158, "grad_norm": 0.30078125, "learning_rate": 1.83883947031551e-06, "loss": 0.7495, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6042 }, { "epoch": 0.8235213954756064, "grad_norm": 0.26171875, "learning_rate": 1.8360909032617224e-06, "loss": 0.7224, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6043 }, { "epoch": 0.8236576723902971, "grad_norm": 0.34375, "learning_rate": 1.8333441842646894e-06, "loss": 0.6568, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6044 }, { "epoch": 0.8237939493049877, "grad_norm": 0.43359375, "learning_rate": 1.8305993139461731e-06, "loss": 0.8046, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6045 }, { "epoch": 0.8239302262196784, "grad_norm": 0.423828125, "learning_rate": 1.827856292927531e-06, "loss": 0.6478, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6046 }, { "epoch": 0.824066503134369, "grad_norm": 0.3046875, "learning_rate": 1.8251151218296993e-06, "loss": 0.7069, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6047 }, { "epoch": 0.8242027800490597, "grad_norm": 0.25390625, "learning_rate": 1.822375801273194e-06, "loss": 0.6692, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6048 }, { "epoch": 0.8243390569637503, "grad_norm": 0.376953125, "learning_rate": 1.8196383318781107e-06, "loss": 0.7852, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6049 }, { "epoch": 0.824475333878441, "grad_norm": 0.291015625, "learning_rate": 1.8169027142641305e-06, "loss": 0.6597, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6050 }, { "epoch": 0.8246116107931316, "grad_norm": 0.26171875, "learning_rate": 1.814168949050511e-06, "loss": 0.6592, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6051 }, { "epoch": 0.8247478877078223, "grad_norm": 0.322265625, "learning_rate": 1.811437036856093e-06, "loss": 0.6569, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6052 }, { "epoch": 0.8248841646225129, "grad_norm": 0.2890625, "learning_rate": 1.8087069782992994e-06, "loss": 0.7585, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6053 }, { "epoch": 0.8250204415372036, "grad_norm": 0.3046875, "learning_rate": 1.8059787739981228e-06, "loss": 0.7087, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6054 }, { "epoch": 0.8251567184518942, "grad_norm": 0.37109375, "learning_rate": 1.8032524245701554e-06, "loss": 0.7427, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6055 }, { "epoch": 0.8252929953665848, "grad_norm": 0.376953125, "learning_rate": 1.8005279306325507e-06, "loss": 0.7692, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6056 }, { "epoch": 0.8254292722812756, "grad_norm": 0.2578125, "learning_rate": 1.7978052928020518e-06, "loss": 0.7179, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6057 }, { "epoch": 0.8255655491959663, "grad_norm": 0.279296875, "learning_rate": 1.79508451169498e-06, "loss": 0.7694, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6058 }, { "epoch": 0.8257018261106569, "grad_norm": 0.3515625, "learning_rate": 1.7923655879272395e-06, "loss": 0.7226, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6059 }, { "epoch": 0.8258381030253475, "grad_norm": 0.3828125, "learning_rate": 1.7896485221143023e-06, "loss": 0.741, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6060 }, { "epoch": 0.8259743799400382, "grad_norm": 0.423828125, "learning_rate": 1.7869333148712387e-06, "loss": 0.7137, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6061 }, { "epoch": 0.8261106568547288, "grad_norm": 0.263671875, "learning_rate": 1.7842199668126758e-06, "loss": 0.6686, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6062 }, { "epoch": 0.8262469337694195, "grad_norm": 0.298828125, "learning_rate": 1.7815084785528447e-06, "loss": 0.7007, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6063 }, { "epoch": 0.8263832106841101, "grad_norm": 0.373046875, "learning_rate": 1.7787988507055332e-06, "loss": 0.7522, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6064 }, { "epoch": 0.8265194875988008, "grad_norm": 0.28515625, "learning_rate": 1.7760910838841173e-06, "loss": 0.7699, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6065 }, { "epoch": 0.8266557645134914, "grad_norm": 0.462890625, "learning_rate": 1.773385178701561e-06, "loss": 0.7169, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6066 }, { "epoch": 0.8267920414281821, "grad_norm": 0.357421875, "learning_rate": 1.7706811357703867e-06, "loss": 0.7683, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6067 }, { "epoch": 0.8269283183428727, "grad_norm": 0.31640625, "learning_rate": 1.7679789557027128e-06, "loss": 0.6893, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6068 }, { "epoch": 0.8270645952575634, "grad_norm": 0.326171875, "learning_rate": 1.765278639110226e-06, "loss": 0.7667, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6069 }, { "epoch": 0.827200872172254, "grad_norm": 0.330078125, "learning_rate": 1.7625801866041992e-06, "loss": 0.7322, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6070 }, { "epoch": 0.8273371490869447, "grad_norm": 0.31640625, "learning_rate": 1.75988359879547e-06, "loss": 0.6239, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6071 }, { "epoch": 0.8274734260016353, "grad_norm": 0.30859375, "learning_rate": 1.7571888762944722e-06, "loss": 0.7574, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6072 }, { "epoch": 0.827609702916326, "grad_norm": 0.287109375, "learning_rate": 1.7544960197111993e-06, "loss": 0.7004, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6073 }, { "epoch": 0.8277459798310166, "grad_norm": 0.2734375, "learning_rate": 1.751805029655239e-06, "loss": 0.7322, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6074 }, { "epoch": 0.8278822567457073, "grad_norm": 0.26171875, "learning_rate": 1.7491159067357421e-06, "loss": 0.6602, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6075 }, { "epoch": 0.8280185336603979, "grad_norm": 0.298828125, "learning_rate": 1.7464286515614458e-06, "loss": 0.6811, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6076 }, { "epoch": 0.8281548105750886, "grad_norm": 0.296875, "learning_rate": 1.7437432647406593e-06, "loss": 0.6911, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6077 }, { "epoch": 0.8282910874897792, "grad_norm": 0.36328125, "learning_rate": 1.741059746881274e-06, "loss": 0.6626, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6078 }, { "epoch": 0.8284273644044698, "grad_norm": 0.26953125, "learning_rate": 1.738378098590754e-06, "loss": 0.6977, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6079 }, { "epoch": 0.8285636413191605, "grad_norm": 0.275390625, "learning_rate": 1.7356983204761414e-06, "loss": 0.7375, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6080 }, { "epoch": 0.8286999182338511, "grad_norm": 0.333984375, "learning_rate": 1.7330204131440553e-06, "loss": 0.6991, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6081 }, { "epoch": 0.8288361951485418, "grad_norm": 0.296875, "learning_rate": 1.7303443772006923e-06, "loss": 0.7002, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6082 }, { "epoch": 0.8289724720632324, "grad_norm": 0.298828125, "learning_rate": 1.7276702132518253e-06, "loss": 0.6426, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6083 }, { "epoch": 0.8291087489779232, "grad_norm": 0.5859375, "learning_rate": 1.7249979219027956e-06, "loss": 0.8057, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6084 }, { "epoch": 0.8292450258926138, "grad_norm": 0.314453125, "learning_rate": 1.7223275037585364e-06, "loss": 0.6584, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6085 }, { "epoch": 0.8293813028073045, "grad_norm": 0.345703125, "learning_rate": 1.7196589594235424e-06, "loss": 0.6549, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6086 }, { "epoch": 0.8295175797219951, "grad_norm": 0.234375, "learning_rate": 1.7169922895018898e-06, "loss": 0.7257, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6087 }, { "epoch": 0.8296538566366858, "grad_norm": 0.240234375, "learning_rate": 1.7143274945972322e-06, "loss": 0.6826, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6088 }, { "epoch": 0.8297901335513764, "grad_norm": 0.314453125, "learning_rate": 1.7116645753127946e-06, "loss": 0.6612, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6089 }, { "epoch": 0.8299264104660671, "grad_norm": 0.294921875, "learning_rate": 1.709003532251382e-06, "loss": 0.7603, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6090 }, { "epoch": 0.8300626873807577, "grad_norm": 0.267578125, "learning_rate": 1.7063443660153722e-06, "loss": 0.6637, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6091 }, { "epoch": 0.8301989642954484, "grad_norm": 0.3046875, "learning_rate": 1.703687077206716e-06, "loss": 0.7244, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6092 }, { "epoch": 0.830335241210139, "grad_norm": 0.33203125, "learning_rate": 1.7010316664269433e-06, "loss": 0.6549, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6093 }, { "epoch": 0.8304715181248297, "grad_norm": 0.462890625, "learning_rate": 1.6983781342771587e-06, "loss": 0.7617, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6094 }, { "epoch": 0.8306077950395203, "grad_norm": 0.4453125, "learning_rate": 1.6957264813580331e-06, "loss": 0.7581, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6095 }, { "epoch": 0.830744071954211, "grad_norm": 0.376953125, "learning_rate": 1.6930767082698284e-06, "loss": 0.6898, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6096 }, { "epoch": 0.8308803488689016, "grad_norm": 0.26953125, "learning_rate": 1.690428815612364e-06, "loss": 0.7444, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6097 }, { "epoch": 0.8310166257835923, "grad_norm": 0.451171875, "learning_rate": 1.687782803985043e-06, "loss": 0.7955, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6098 }, { "epoch": 0.8311529026982829, "grad_norm": 0.251953125, "learning_rate": 1.6851386739868414e-06, "loss": 0.6493, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6099 }, { "epoch": 0.8312891796129735, "grad_norm": 0.31640625, "learning_rate": 1.682496426216308e-06, "loss": 0.7744, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6100 }, { "epoch": 0.8314254565276642, "grad_norm": 0.3125, "learning_rate": 1.6798560612715663e-06, "loss": 0.6473, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6101 }, { "epoch": 0.8315617334423548, "grad_norm": 0.4140625, "learning_rate": 1.6772175797503132e-06, "loss": 0.7985, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6102 }, { "epoch": 0.8316980103570455, "grad_norm": 0.28515625, "learning_rate": 1.6745809822498193e-06, "loss": 0.6999, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6103 }, { "epoch": 0.8318342872717361, "grad_norm": 0.26953125, "learning_rate": 1.6719462693669286e-06, "loss": 0.6241, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6104 }, { "epoch": 0.8319705641864268, "grad_norm": 0.34765625, "learning_rate": 1.6693134416980627e-06, "loss": 0.6643, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6105 }, { "epoch": 0.8321068411011174, "grad_norm": 0.296875, "learning_rate": 1.6666824998392028e-06, "loss": 0.7043, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6106 }, { "epoch": 0.8322431180158081, "grad_norm": 0.2890625, "learning_rate": 1.6640534443859234e-06, "loss": 0.6876, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6107 }, { "epoch": 0.8323793949304987, "grad_norm": 0.41015625, "learning_rate": 1.6614262759333556e-06, "loss": 0.73, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6108 }, { "epoch": 0.8325156718451894, "grad_norm": 0.345703125, "learning_rate": 1.6588009950762097e-06, "loss": 0.6648, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6109 }, { "epoch": 0.83265194875988, "grad_norm": 0.400390625, "learning_rate": 1.6561776024087683e-06, "loss": 0.8182, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6110 }, { "epoch": 0.8327882256745708, "grad_norm": 0.81640625, "learning_rate": 1.6535560985248878e-06, "loss": 0.6344, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6111 }, { "epoch": 0.8329245025892614, "grad_norm": 0.2890625, "learning_rate": 1.6509364840179943e-06, "loss": 0.707, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6112 }, { "epoch": 0.8330607795039521, "grad_norm": 0.306640625, "learning_rate": 1.648318759481088e-06, "loss": 0.7336, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6113 }, { "epoch": 0.8331970564186427, "grad_norm": 0.298828125, "learning_rate": 1.6457029255067414e-06, "loss": 0.7206, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6114 }, { "epoch": 0.8333333333333334, "grad_norm": 0.26953125, "learning_rate": 1.6430889826870977e-06, "loss": 0.7608, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6115 }, { "epoch": 0.833469610248024, "grad_norm": 0.29296875, "learning_rate": 1.6404769316138758e-06, "loss": 0.7197, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6116 }, { "epoch": 0.8336058871627147, "grad_norm": 0.3515625, "learning_rate": 1.6378667728783547e-06, "loss": 0.6427, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6117 }, { "epoch": 0.8337421640774053, "grad_norm": 0.3828125, "learning_rate": 1.6352585070714055e-06, "loss": 0.7596, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6118 }, { "epoch": 0.833878440992096, "grad_norm": 0.27734375, "learning_rate": 1.6326521347834511e-06, "loss": 0.6791, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6119 }, { "epoch": 0.8340147179067866, "grad_norm": 0.451171875, "learning_rate": 1.6300476566044954e-06, "loss": 0.837, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6120 }, { "epoch": 0.8341509948214773, "grad_norm": 0.359375, "learning_rate": 1.6274450731241109e-06, "loss": 0.6765, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6121 }, { "epoch": 0.8342872717361679, "grad_norm": 0.396484375, "learning_rate": 1.6248443849314444e-06, "loss": 0.7524, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6122 }, { "epoch": 0.8344235486508585, "grad_norm": 0.28125, "learning_rate": 1.6222455926152103e-06, "loss": 0.7, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6123 }, { "epoch": 0.8345598255655492, "grad_norm": 0.279296875, "learning_rate": 1.6196486967636959e-06, "loss": 0.6109, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6124 }, { "epoch": 0.8346961024802398, "grad_norm": 0.46875, "learning_rate": 1.6170536979647534e-06, "loss": 0.7633, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6125 }, { "epoch": 0.8348323793949305, "grad_norm": 0.291015625, "learning_rate": 1.614460596805818e-06, "loss": 0.6967, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6126 }, { "epoch": 0.8349686563096211, "grad_norm": 0.271484375, "learning_rate": 1.6118693938738816e-06, "loss": 0.726, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6127 }, { "epoch": 0.8351049332243118, "grad_norm": 0.255859375, "learning_rate": 1.609280089755515e-06, "loss": 0.7076, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6128 }, { "epoch": 0.8352412101390024, "grad_norm": 0.3046875, "learning_rate": 1.6066926850368557e-06, "loss": 0.7094, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6129 }, { "epoch": 0.8353774870536931, "grad_norm": 0.451171875, "learning_rate": 1.60410718030361e-06, "loss": 0.8506, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6130 }, { "epoch": 0.8355137639683837, "grad_norm": 0.40625, "learning_rate": 1.601523576141064e-06, "loss": 0.7113, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6131 }, { "epoch": 0.8356500408830744, "grad_norm": 0.345703125, "learning_rate": 1.5989418731340578e-06, "loss": 0.6554, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6132 }, { "epoch": 0.835786317797765, "grad_norm": 0.259765625, "learning_rate": 1.5963620718670126e-06, "loss": 0.7108, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6133 }, { "epoch": 0.8359225947124557, "grad_norm": 0.466796875, "learning_rate": 1.5937841729239157e-06, "loss": 0.774, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6134 }, { "epoch": 0.8360588716271463, "grad_norm": 0.279296875, "learning_rate": 1.5912081768883247e-06, "loss": 0.7322, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6135 }, { "epoch": 0.836195148541837, "grad_norm": 0.28515625, "learning_rate": 1.5886340843433602e-06, "loss": 0.7512, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6136 }, { "epoch": 0.8363314254565276, "grad_norm": 0.349609375, "learning_rate": 1.5860618958717245e-06, "loss": 0.7122, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6137 }, { "epoch": 0.8364677023712184, "grad_norm": 0.3359375, "learning_rate": 1.5834916120556766e-06, "loss": 0.7361, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6138 }, { "epoch": 0.836603979285909, "grad_norm": 0.2734375, "learning_rate": 1.580923233477052e-06, "loss": 0.7433, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6139 }, { "epoch": 0.8367402562005997, "grad_norm": 0.375, "learning_rate": 1.578356760717249e-06, "loss": 0.7803, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6140 }, { "epoch": 0.8368765331152903, "grad_norm": 0.29296875, "learning_rate": 1.575792194357242e-06, "loss": 0.7057, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6141 }, { "epoch": 0.837012810029981, "grad_norm": 0.3984375, "learning_rate": 1.5732295349775662e-06, "loss": 0.6766, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6142 }, { "epoch": 0.8371490869446716, "grad_norm": 0.3203125, "learning_rate": 1.57066878315833e-06, "loss": 0.6937, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6143 }, { "epoch": 0.8372853638593623, "grad_norm": 0.6015625, "learning_rate": 1.5681099394792076e-06, "loss": 0.7209, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6144 }, { "epoch": 0.8374216407740529, "grad_norm": 0.318359375, "learning_rate": 1.5655530045194435e-06, "loss": 0.7406, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6145 }, { "epoch": 0.8375579176887435, "grad_norm": 0.306640625, "learning_rate": 1.5629979788578508e-06, "loss": 0.6717, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6146 }, { "epoch": 0.8376941946034342, "grad_norm": 0.4921875, "learning_rate": 1.5604448630727997e-06, "loss": 0.6912, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6147 }, { "epoch": 0.8378304715181248, "grad_norm": 0.298828125, "learning_rate": 1.5578936577422487e-06, "loss": 0.6648, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6148 }, { "epoch": 0.8379667484328155, "grad_norm": 0.302734375, "learning_rate": 1.5553443634437005e-06, "loss": 0.6864, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6149 }, { "epoch": 0.8381030253475061, "grad_norm": 0.515625, "learning_rate": 1.5527969807542465e-06, "loss": 0.5983, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6150 }, { "epoch": 0.8382393022621968, "grad_norm": 0.306640625, "learning_rate": 1.5502515102505279e-06, "loss": 0.6537, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6151 }, { "epoch": 0.8383755791768874, "grad_norm": 0.322265625, "learning_rate": 1.5477079525087634e-06, "loss": 0.6823, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6152 }, { "epoch": 0.8385118560915781, "grad_norm": 0.23046875, "learning_rate": 1.5451663081047363e-06, "loss": 0.722, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6153 }, { "epoch": 0.8386481330062687, "grad_norm": 0.357421875, "learning_rate": 1.542626577613796e-06, "loss": 0.7012, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6154 }, { "epoch": 0.8387844099209594, "grad_norm": 0.3515625, "learning_rate": 1.5400887616108595e-06, "loss": 0.7473, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6155 }, { "epoch": 0.83892068683565, "grad_norm": 0.283203125, "learning_rate": 1.5375528606704082e-06, "loss": 0.6343, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6156 }, { "epoch": 0.8390569637503407, "grad_norm": 0.26953125, "learning_rate": 1.5350188753664962e-06, "loss": 0.6752, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6157 }, { "epoch": 0.8391932406650313, "grad_norm": 0.4140625, "learning_rate": 1.5324868062727306e-06, "loss": 0.836, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6158 }, { "epoch": 0.839329517579722, "grad_norm": 0.326171875, "learning_rate": 1.5299566539623046e-06, "loss": 0.6309, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6159 }, { "epoch": 0.8394657944944126, "grad_norm": 0.38671875, "learning_rate": 1.5274284190079558e-06, "loss": 0.7194, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6160 }, { "epoch": 0.8396020714091033, "grad_norm": 0.61328125, "learning_rate": 1.5249021019820088e-06, "loss": 0.6596, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6161 }, { "epoch": 0.8397383483237939, "grad_norm": 0.26953125, "learning_rate": 1.5223777034563358e-06, "loss": 0.6612, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6162 }, { "epoch": 0.8398746252384846, "grad_norm": 0.388671875, "learning_rate": 1.5198552240023868e-06, "loss": 0.733, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6163 }, { "epoch": 0.8400109021531752, "grad_norm": 0.3203125, "learning_rate": 1.51733466419117e-06, "loss": 0.7181, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6164 }, { "epoch": 0.840147179067866, "grad_norm": 0.279296875, "learning_rate": 1.5148160245932652e-06, "loss": 0.7448, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6165 }, { "epoch": 0.8402834559825566, "grad_norm": 0.306640625, "learning_rate": 1.5122993057788138e-06, "loss": 0.7065, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6166 }, { "epoch": 0.8404197328972473, "grad_norm": 0.326171875, "learning_rate": 1.5097845083175222e-06, "loss": 0.7002, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6167 }, { "epoch": 0.8405560098119379, "grad_norm": 0.30859375, "learning_rate": 1.507271632778665e-06, "loss": 0.7342, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6168 }, { "epoch": 0.8406922867266285, "grad_norm": 0.34765625, "learning_rate": 1.5047606797310743e-06, "loss": 0.7378, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6169 }, { "epoch": 0.8408285636413192, "grad_norm": 0.44140625, "learning_rate": 1.5022516497431605e-06, "loss": 0.7147, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6170 }, { "epoch": 0.8409648405560098, "grad_norm": 0.333984375, "learning_rate": 1.4997445433828817e-06, "loss": 0.7187, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6171 }, { "epoch": 0.8411011174707005, "grad_norm": 0.291015625, "learning_rate": 1.4972393612177783e-06, "loss": 0.6706, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6172 }, { "epoch": 0.8412373943853911, "grad_norm": 0.275390625, "learning_rate": 1.494736103814939e-06, "loss": 0.7168, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6173 }, { "epoch": 0.8413736713000818, "grad_norm": 0.39453125, "learning_rate": 1.4922347717410256e-06, "loss": 0.7064, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6174 }, { "epoch": 0.8415099482147724, "grad_norm": 0.265625, "learning_rate": 1.4897353655622649e-06, "loss": 0.7111, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6175 }, { "epoch": 0.8416462251294631, "grad_norm": 0.427734375, "learning_rate": 1.4872378858444447e-06, "loss": 0.7353, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6176 }, { "epoch": 0.8417825020441537, "grad_norm": 0.294921875, "learning_rate": 1.484742333152911e-06, "loss": 0.7507, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6177 }, { "epoch": 0.8419187789588444, "grad_norm": 0.3828125, "learning_rate": 1.482248708052587e-06, "loss": 0.766, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6178 }, { "epoch": 0.842055055873535, "grad_norm": 0.25, "learning_rate": 1.4797570111079508e-06, "loss": 0.7174, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6179 }, { "epoch": 0.8421913327882257, "grad_norm": 0.306640625, "learning_rate": 1.4772672428830448e-06, "loss": 0.6839, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6180 }, { "epoch": 0.8423276097029163, "grad_norm": 0.263671875, "learning_rate": 1.4747794039414786e-06, "loss": 0.7355, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6181 }, { "epoch": 0.842463886617607, "grad_norm": 0.31640625, "learning_rate": 1.472293494846414e-06, "loss": 0.6806, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6182 }, { "epoch": 0.8426001635322976, "grad_norm": 0.2421875, "learning_rate": 1.4698095161605942e-06, "loss": 0.6483, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6183 }, { "epoch": 0.8427364404469883, "grad_norm": 0.318359375, "learning_rate": 1.4673274684463078e-06, "loss": 0.7194, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6184 }, { "epoch": 0.8428727173616789, "grad_norm": 0.322265625, "learning_rate": 1.464847352265416e-06, "loss": 0.6694, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6185 }, { "epoch": 0.8430089942763695, "grad_norm": 0.359375, "learning_rate": 1.4623691681793405e-06, "loss": 0.6894, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6186 }, { "epoch": 0.8431452711910602, "grad_norm": 0.294921875, "learning_rate": 1.4598929167490682e-06, "loss": 0.6945, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6187 }, { "epoch": 0.8432815481057508, "grad_norm": 0.259765625, "learning_rate": 1.4574185985351386e-06, "loss": 0.7396, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6188 }, { "epoch": 0.8434178250204415, "grad_norm": 0.287109375, "learning_rate": 1.4549462140976711e-06, "loss": 0.7137, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6189 }, { "epoch": 0.8435541019351321, "grad_norm": 0.271484375, "learning_rate": 1.452475763996326e-06, "loss": 0.6408, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6190 }, { "epoch": 0.8436903788498228, "grad_norm": 0.263671875, "learning_rate": 1.4500072487903484e-06, "loss": 0.6826, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6191 }, { "epoch": 0.8438266557645135, "grad_norm": 0.5546875, "learning_rate": 1.4475406690385251e-06, "loss": 0.7405, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6192 }, { "epoch": 0.8439629326792042, "grad_norm": 0.28515625, "learning_rate": 1.4450760252992168e-06, "loss": 0.7309, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6193 }, { "epoch": 0.8440992095938948, "grad_norm": 0.439453125, "learning_rate": 1.4426133181303425e-06, "loss": 0.6831, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6194 }, { "epoch": 0.8442354865085855, "grad_norm": 0.375, "learning_rate": 1.440152548089382e-06, "loss": 0.7371, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6195 }, { "epoch": 0.8443717634232761, "grad_norm": 0.451171875, "learning_rate": 1.4376937157333793e-06, "loss": 0.7954, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6196 }, { "epoch": 0.8445080403379668, "grad_norm": 0.25, "learning_rate": 1.4352368216189372e-06, "loss": 0.673, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6197 }, { "epoch": 0.8446443172526574, "grad_norm": 0.26171875, "learning_rate": 1.4327818663022209e-06, "loss": 0.6873, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6198 }, { "epoch": 0.8447805941673481, "grad_norm": 0.28125, "learning_rate": 1.4303288503389556e-06, "loss": 0.6742, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6199 }, { "epoch": 0.8449168710820387, "grad_norm": 0.294921875, "learning_rate": 1.427877774284432e-06, "loss": 0.6312, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6200 }, { "epoch": 0.8450531479967294, "grad_norm": 0.2890625, "learning_rate": 1.425428638693489e-06, "loss": 0.7142, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6201 }, { "epoch": 0.84518942491142, "grad_norm": 0.36328125, "learning_rate": 1.422981444120547e-06, "loss": 0.7068, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6202 }, { "epoch": 0.8453257018261107, "grad_norm": 0.3359375, "learning_rate": 1.4205361911195658e-06, "loss": 0.7414, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6203 }, { "epoch": 0.8454619787408013, "grad_norm": 0.494140625, "learning_rate": 1.4180928802440796e-06, "loss": 0.7431, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6204 }, { "epoch": 0.845598255655492, "grad_norm": 0.37109375, "learning_rate": 1.4156515120471782e-06, "loss": 0.6293, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6205 }, { "epoch": 0.8457345325701826, "grad_norm": 0.333984375, "learning_rate": 1.4132120870815102e-06, "loss": 0.7737, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6206 }, { "epoch": 0.8458708094848733, "grad_norm": 0.263671875, "learning_rate": 1.4107746058992866e-06, "loss": 0.648, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6207 }, { "epoch": 0.8460070863995639, "grad_norm": 0.322265625, "learning_rate": 1.4083390690522792e-06, "loss": 0.69, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6208 }, { "epoch": 0.8461433633142545, "grad_norm": 0.462890625, "learning_rate": 1.4059054770918167e-06, "loss": 0.7447, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6209 }, { "epoch": 0.8462796402289452, "grad_norm": 0.470703125, "learning_rate": 1.4034738305687912e-06, "loss": 0.6993, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6210 }, { "epoch": 0.8464159171436358, "grad_norm": 0.27734375, "learning_rate": 1.401044130033652e-06, "loss": 0.6941, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6211 }, { "epoch": 0.8465521940583265, "grad_norm": 0.30078125, "learning_rate": 1.3986163760364025e-06, "loss": 0.6434, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6212 }, { "epoch": 0.8466884709730171, "grad_norm": 0.294921875, "learning_rate": 1.396190569126621e-06, "loss": 0.7346, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6213 }, { "epoch": 0.8468247478877078, "grad_norm": 0.28125, "learning_rate": 1.393766709853428e-06, "loss": 0.6884, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6214 }, { "epoch": 0.8469610248023984, "grad_norm": 0.294921875, "learning_rate": 1.3913447987655115e-06, "loss": 0.6844, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6215 }, { "epoch": 0.8470973017170891, "grad_norm": 0.294921875, "learning_rate": 1.3889248364111185e-06, "loss": 0.6914, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6216 }, { "epoch": 0.8472335786317797, "grad_norm": 0.296875, "learning_rate": 1.386506823338054e-06, "loss": 0.7111, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6217 }, { "epoch": 0.8473698555464704, "grad_norm": 0.30078125, "learning_rate": 1.3840907600936803e-06, "loss": 0.7731, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6218 }, { "epoch": 0.8475061324611611, "grad_norm": 0.298828125, "learning_rate": 1.381676647224921e-06, "loss": 0.7088, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6219 }, { "epoch": 0.8476424093758518, "grad_norm": 0.40625, "learning_rate": 1.3792644852782544e-06, "loss": 0.7368, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6220 }, { "epoch": 0.8477786862905424, "grad_norm": 0.28515625, "learning_rate": 1.3768542747997215e-06, "loss": 0.6377, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6221 }, { "epoch": 0.8479149632052331, "grad_norm": 0.59765625, "learning_rate": 1.3744460163349217e-06, "loss": 0.7075, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6222 }, { "epoch": 0.8480512401199237, "grad_norm": 0.310546875, "learning_rate": 1.3720397104290017e-06, "loss": 0.6738, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6223 }, { "epoch": 0.8481875170346144, "grad_norm": 0.265625, "learning_rate": 1.3696353576266852e-06, "loss": 0.6197, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6224 }, { "epoch": 0.848323793949305, "grad_norm": 0.328125, "learning_rate": 1.3672329584722367e-06, "loss": 0.6776, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6225 }, { "epoch": 0.8484600708639957, "grad_norm": 0.353515625, "learning_rate": 1.3648325135094864e-06, "loss": 0.7017, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6226 }, { "epoch": 0.8485963477786863, "grad_norm": 0.232421875, "learning_rate": 1.3624340232818211e-06, "loss": 0.6593, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6227 }, { "epoch": 0.848732624693377, "grad_norm": 0.3125, "learning_rate": 1.3600374883321866e-06, "loss": 0.6681, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6228 }, { "epoch": 0.8488689016080676, "grad_norm": 0.34375, "learning_rate": 1.357642909203082e-06, "loss": 0.7445, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6229 }, { "epoch": 0.8490051785227583, "grad_norm": 0.298828125, "learning_rate": 1.355250286436567e-06, "loss": 0.668, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6230 }, { "epoch": 0.8491414554374489, "grad_norm": 0.32421875, "learning_rate": 1.3528596205742573e-06, "loss": 0.7948, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6231 }, { "epoch": 0.8492777323521395, "grad_norm": 0.2734375, "learning_rate": 1.3504709121573268e-06, "loss": 0.7292, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6232 }, { "epoch": 0.8494140092668302, "grad_norm": 0.310546875, "learning_rate": 1.3480841617265062e-06, "loss": 0.7253, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6233 }, { "epoch": 0.8495502861815208, "grad_norm": 0.439453125, "learning_rate": 1.3456993698220766e-06, "loss": 0.7211, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6234 }, { "epoch": 0.8496865630962115, "grad_norm": 0.486328125, "learning_rate": 1.3433165369838885e-06, "loss": 0.7188, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6235 }, { "epoch": 0.8498228400109021, "grad_norm": 0.345703125, "learning_rate": 1.340935663751336e-06, "loss": 0.6569, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6236 }, { "epoch": 0.8499591169255928, "grad_norm": 0.408203125, "learning_rate": 1.3385567506633767e-06, "loss": 0.7146, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6237 }, { "epoch": 0.8500953938402834, "grad_norm": 0.384765625, "learning_rate": 1.3361797982585244e-06, "loss": 0.7166, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6238 }, { "epoch": 0.8502316707549741, "grad_norm": 0.322265625, "learning_rate": 1.3338048070748466e-06, "loss": 0.7103, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6239 }, { "epoch": 0.8503679476696647, "grad_norm": 0.333984375, "learning_rate": 1.3314317776499674e-06, "loss": 0.7099, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6240 }, { "epoch": 0.8505042245843554, "grad_norm": 0.466796875, "learning_rate": 1.3290607105210706e-06, "loss": 0.6795, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6241 }, { "epoch": 0.850640501499046, "grad_norm": 0.267578125, "learning_rate": 1.3266916062248857e-06, "loss": 0.7476, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6242 }, { "epoch": 0.8507767784137367, "grad_norm": 0.2470703125, "learning_rate": 1.3243244652977116e-06, "loss": 0.7299, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6243 }, { "epoch": 0.8509130553284273, "grad_norm": 0.365234375, "learning_rate": 1.321959288275395e-06, "loss": 0.7473, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6244 }, { "epoch": 0.851049332243118, "grad_norm": 0.326171875, "learning_rate": 1.3195960756933334e-06, "loss": 0.7201, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6245 }, { "epoch": 0.8511856091578087, "grad_norm": 0.283203125, "learning_rate": 1.3172348280864933e-06, "loss": 0.6541, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6246 }, { "epoch": 0.8513218860724994, "grad_norm": 0.390625, "learning_rate": 1.3148755459893781e-06, "loss": 0.6866, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6247 }, { "epoch": 0.85145816298719, "grad_norm": 0.30859375, "learning_rate": 1.3125182299360672e-06, "loss": 0.7073, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6248 }, { "epoch": 0.8515944399018807, "grad_norm": 0.34765625, "learning_rate": 1.3101628804601773e-06, "loss": 0.7227, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6249 }, { "epoch": 0.8517307168165713, "grad_norm": 0.267578125, "learning_rate": 1.3078094980948875e-06, "loss": 0.6582, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6250 }, { "epoch": 0.851866993731262, "grad_norm": 0.251953125, "learning_rate": 1.3054580833729324e-06, "loss": 0.6818, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6251 }, { "epoch": 0.8520032706459526, "grad_norm": 0.36328125, "learning_rate": 1.3031086368266e-06, "loss": 0.7628, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6252 }, { "epoch": 0.8521395475606433, "grad_norm": 0.408203125, "learning_rate": 1.300761158987728e-06, "loss": 0.7745, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6253 }, { "epoch": 0.8522758244753339, "grad_norm": 0.80859375, "learning_rate": 1.29841565038772e-06, "loss": 0.6848, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6254 }, { "epoch": 0.8524121013900245, "grad_norm": 1.53125, "learning_rate": 1.2960721115575214e-06, "loss": 0.7238, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6255 }, { "epoch": 0.8525483783047152, "grad_norm": 0.30859375, "learning_rate": 1.2937305430276382e-06, "loss": 0.747, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6256 }, { "epoch": 0.8526846552194058, "grad_norm": 0.341796875, "learning_rate": 1.2913909453281292e-06, "loss": 0.7693, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6257 }, { "epoch": 0.8528209321340965, "grad_norm": 0.6171875, "learning_rate": 1.2890533189886068e-06, "loss": 0.7309, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6258 }, { "epoch": 0.8529572090487871, "grad_norm": 0.84375, "learning_rate": 1.2867176645382384e-06, "loss": 0.6721, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6259 }, { "epoch": 0.8530934859634778, "grad_norm": 0.2890625, "learning_rate": 1.2843839825057425e-06, "loss": 0.6447, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6260 }, { "epoch": 0.8532297628781684, "grad_norm": 0.271484375, "learning_rate": 1.2820522734193941e-06, "loss": 0.6943, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6261 }, { "epoch": 0.8533660397928591, "grad_norm": 0.267578125, "learning_rate": 1.2797225378070199e-06, "loss": 0.629, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6262 }, { "epoch": 0.8535023167075497, "grad_norm": 0.36328125, "learning_rate": 1.2773947761960015e-06, "loss": 0.6576, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6263 }, { "epoch": 0.8536385936222404, "grad_norm": 0.42578125, "learning_rate": 1.275068989113265e-06, "loss": 0.8737, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6264 }, { "epoch": 0.853774870536931, "grad_norm": 0.3046875, "learning_rate": 1.2727451770853072e-06, "loss": 0.721, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6265 }, { "epoch": 0.8539111474516217, "grad_norm": 0.291015625, "learning_rate": 1.2704233406381583e-06, "loss": 0.6764, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6266 }, { "epoch": 0.8540474243663123, "grad_norm": 0.275390625, "learning_rate": 1.268103480297418e-06, "loss": 0.6717, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6267 }, { "epoch": 0.854183701281003, "grad_norm": 0.337890625, "learning_rate": 1.2657855965882249e-06, "loss": 0.7249, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6268 }, { "epoch": 0.8543199781956936, "grad_norm": 0.3359375, "learning_rate": 1.2634696900352794e-06, "loss": 0.6694, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6269 }, { "epoch": 0.8544562551103843, "grad_norm": 0.31640625, "learning_rate": 1.261155761162829e-06, "loss": 0.7238, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6270 }, { "epoch": 0.8545925320250749, "grad_norm": 0.3203125, "learning_rate": 1.2588438104946776e-06, "loss": 0.7299, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6271 }, { "epoch": 0.8547288089397655, "grad_norm": 0.279296875, "learning_rate": 1.2565338385541792e-06, "loss": 0.6684, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6272 }, { "epoch": 0.8548650858544563, "grad_norm": 0.25390625, "learning_rate": 1.2542258458642388e-06, "loss": 0.6975, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6273 }, { "epoch": 0.855001362769147, "grad_norm": 0.412109375, "learning_rate": 1.251919832947318e-06, "loss": 0.702, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6274 }, { "epoch": 0.8551376396838376, "grad_norm": 0.333984375, "learning_rate": 1.2496158003254212e-06, "loss": 0.6558, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6275 }, { "epoch": 0.8552739165985282, "grad_norm": 0.322265625, "learning_rate": 1.247313748520116e-06, "loss": 0.6881, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6276 }, { "epoch": 0.8554101935132189, "grad_norm": 0.28515625, "learning_rate": 1.2450136780525101e-06, "loss": 0.7104, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6277 }, { "epoch": 0.8555464704279095, "grad_norm": 3.015625, "learning_rate": 1.242715589443275e-06, "loss": 0.7771, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6278 }, { "epoch": 0.8556827473426002, "grad_norm": 0.28125, "learning_rate": 1.2404194832126214e-06, "loss": 0.6636, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6279 }, { "epoch": 0.8558190242572908, "grad_norm": 0.36328125, "learning_rate": 1.2381253598803188e-06, "loss": 0.6912, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6280 }, { "epoch": 0.8559553011719815, "grad_norm": 0.306640625, "learning_rate": 1.2358332199656853e-06, "loss": 0.6874, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6281 }, { "epoch": 0.8560915780866721, "grad_norm": 0.3515625, "learning_rate": 1.2335430639875923e-06, "loss": 0.7546, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6282 }, { "epoch": 0.8562278550013628, "grad_norm": 0.294921875, "learning_rate": 1.2312548924644585e-06, "loss": 0.7039, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6283 }, { "epoch": 0.8563641319160534, "grad_norm": 0.294921875, "learning_rate": 1.2289687059142553e-06, "loss": 0.6905, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6284 }, { "epoch": 0.8565004088307441, "grad_norm": 0.28125, "learning_rate": 1.2266845048545073e-06, "loss": 0.715, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6285 }, { "epoch": 0.8566366857454347, "grad_norm": 0.453125, "learning_rate": 1.2244022898022813e-06, "loss": 0.7806, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6286 }, { "epoch": 0.8567729626601254, "grad_norm": 0.2890625, "learning_rate": 1.2221220612742079e-06, "loss": 0.7332, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6287 }, { "epoch": 0.856909239574816, "grad_norm": 0.240234375, "learning_rate": 1.2198438197864527e-06, "loss": 0.6218, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6288 }, { "epoch": 0.8570455164895067, "grad_norm": 0.314453125, "learning_rate": 1.217567565854747e-06, "loss": 0.6825, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6289 }, { "epoch": 0.8571817934041973, "grad_norm": 0.275390625, "learning_rate": 1.2152932999943578e-06, "loss": 0.7577, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6290 }, { "epoch": 0.857318070318888, "grad_norm": 0.365234375, "learning_rate": 1.213021022720111e-06, "loss": 0.6441, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6291 }, { "epoch": 0.8574543472335786, "grad_norm": 0.36328125, "learning_rate": 1.2107507345463798e-06, "loss": 0.8045, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6292 }, { "epoch": 0.8575906241482693, "grad_norm": 0.28515625, "learning_rate": 1.2084824359870872e-06, "loss": 0.6822, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6293 }, { "epoch": 0.8577269010629599, "grad_norm": 0.345703125, "learning_rate": 1.2062161275557071e-06, "loss": 0.7274, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6294 }, { "epoch": 0.8578631779776505, "grad_norm": 0.4140625, "learning_rate": 1.2039518097652602e-06, "loss": 0.7355, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6295 }, { "epoch": 0.8579994548923412, "grad_norm": 0.30078125, "learning_rate": 1.2016894831283189e-06, "loss": 0.8115, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6296 }, { "epoch": 0.8581357318070318, "grad_norm": 0.25, "learning_rate": 1.199429148157004e-06, "loss": 0.686, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6297 }, { "epoch": 0.8582720087217225, "grad_norm": 0.271484375, "learning_rate": 1.197170805362987e-06, "loss": 0.7928, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6298 }, { "epoch": 0.8584082856364131, "grad_norm": 0.3125, "learning_rate": 1.1949144552574809e-06, "loss": 0.7143, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6299 }, { "epoch": 0.8585445625511039, "grad_norm": 0.361328125, "learning_rate": 1.1926600983512626e-06, "loss": 0.697, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6300 }, { "epoch": 0.8586808394657945, "grad_norm": 0.330078125, "learning_rate": 1.1904077351546416e-06, "loss": 0.744, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6301 }, { "epoch": 0.8588171163804852, "grad_norm": 0.32421875, "learning_rate": 1.188157366177487e-06, "loss": 0.7258, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6302 }, { "epoch": 0.8589533932951758, "grad_norm": 0.310546875, "learning_rate": 1.185908991929211e-06, "loss": 0.8078, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6303 }, { "epoch": 0.8590896702098665, "grad_norm": 0.34375, "learning_rate": 1.1836626129187789e-06, "loss": 0.6803, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6304 }, { "epoch": 0.8592259471245571, "grad_norm": 0.298828125, "learning_rate": 1.181418229654695e-06, "loss": 0.6652, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6305 }, { "epoch": 0.8593622240392478, "grad_norm": 0.5859375, "learning_rate": 1.1791758426450273e-06, "loss": 0.8004, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6306 }, { "epoch": 0.8594985009539384, "grad_norm": 0.31640625, "learning_rate": 1.176935452397373e-06, "loss": 0.7419, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6307 }, { "epoch": 0.8596347778686291, "grad_norm": 0.28515625, "learning_rate": 1.1746970594188955e-06, "loss": 0.722, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6308 }, { "epoch": 0.8597710547833197, "grad_norm": 0.294921875, "learning_rate": 1.1724606642162973e-06, "loss": 0.7119, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6309 }, { "epoch": 0.8599073316980104, "grad_norm": 0.29296875, "learning_rate": 1.170226267295822e-06, "loss": 0.7304, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6310 }, { "epoch": 0.860043608612701, "grad_norm": 0.337890625, "learning_rate": 1.1679938691632774e-06, "loss": 0.6206, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6311 }, { "epoch": 0.8601798855273917, "grad_norm": 0.306640625, "learning_rate": 1.1657634703240028e-06, "loss": 0.6967, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6312 }, { "epoch": 0.8603161624420823, "grad_norm": 0.29296875, "learning_rate": 1.163535071282893e-06, "loss": 0.7754, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6313 }, { "epoch": 0.860452439356773, "grad_norm": 0.294921875, "learning_rate": 1.161308672544389e-06, "loss": 0.7089, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6314 }, { "epoch": 0.8605887162714636, "grad_norm": 0.4609375, "learning_rate": 1.1590842746124797e-06, "loss": 0.8036, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6315 }, { "epoch": 0.8607249931861543, "grad_norm": 0.294921875, "learning_rate": 1.1568618779906992e-06, "loss": 0.7487, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6316 }, { "epoch": 0.8608612701008449, "grad_norm": 0.419921875, "learning_rate": 1.1546414831821307e-06, "loss": 0.7027, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6317 }, { "epoch": 0.8609975470155355, "grad_norm": 0.294921875, "learning_rate": 1.1524230906893985e-06, "loss": 0.6889, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6318 }, { "epoch": 0.8611338239302262, "grad_norm": 0.27734375, "learning_rate": 1.1502067010146855e-06, "loss": 0.6905, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6319 }, { "epoch": 0.8612701008449168, "grad_norm": 0.30859375, "learning_rate": 1.147992314659707e-06, "loss": 0.6169, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6320 }, { "epoch": 0.8614063777596075, "grad_norm": 0.28515625, "learning_rate": 1.1457799321257346e-06, "loss": 0.6821, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6321 }, { "epoch": 0.8615426546742981, "grad_norm": 0.373046875, "learning_rate": 1.1435695539135838e-06, "loss": 0.6971, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6322 }, { "epoch": 0.8616789315889888, "grad_norm": 0.255859375, "learning_rate": 1.1413611805236146e-06, "loss": 0.7236, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6323 }, { "epoch": 0.8618152085036794, "grad_norm": 0.482421875, "learning_rate": 1.139154812455735e-06, "loss": 0.7847, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6324 }, { "epoch": 0.8619514854183701, "grad_norm": 0.3046875, "learning_rate": 1.1369504502093987e-06, "loss": 0.7319, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6325 }, { "epoch": 0.8620877623330607, "grad_norm": 0.31640625, "learning_rate": 1.1347480942836054e-06, "loss": 0.7277, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6326 }, { "epoch": 0.8622240392477515, "grad_norm": 0.4140625, "learning_rate": 1.1325477451769008e-06, "loss": 0.7655, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6327 }, { "epoch": 0.8623603161624421, "grad_norm": 0.30859375, "learning_rate": 1.1303494033873763e-06, "loss": 0.7135, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6328 }, { "epoch": 0.8624965930771328, "grad_norm": 0.2421875, "learning_rate": 1.128153069412664e-06, "loss": 0.7254, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6329 }, { "epoch": 0.8626328699918234, "grad_norm": 0.2578125, "learning_rate": 1.1259587437499541e-06, "loss": 0.7332, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6330 }, { "epoch": 0.8627691469065141, "grad_norm": 0.45703125, "learning_rate": 1.123766426895967e-06, "loss": 0.7898, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6331 }, { "epoch": 0.8629054238212047, "grad_norm": 0.2734375, "learning_rate": 1.1215761193469786e-06, "loss": 0.6499, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6332 }, { "epoch": 0.8630417007358954, "grad_norm": 0.435546875, "learning_rate": 1.1193878215988063e-06, "loss": 0.7097, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6333 }, { "epoch": 0.863177977650586, "grad_norm": 0.3828125, "learning_rate": 1.1172015341468134e-06, "loss": 0.6816, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6334 }, { "epoch": 0.8633142545652767, "grad_norm": 0.322265625, "learning_rate": 1.1150172574859063e-06, "loss": 0.774, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6335 }, { "epoch": 0.8634505314799673, "grad_norm": 0.39453125, "learning_rate": 1.1128349921105408e-06, "loss": 0.7652, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6336 }, { "epoch": 0.863586808394658, "grad_norm": 0.318359375, "learning_rate": 1.1106547385147116e-06, "loss": 0.6951, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6337 }, { "epoch": 0.8637230853093486, "grad_norm": 0.294921875, "learning_rate": 1.1084764971919614e-06, "loss": 0.7569, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6338 }, { "epoch": 0.8638593622240393, "grad_norm": 0.349609375, "learning_rate": 1.1063002686353808e-06, "loss": 0.6922, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6339 }, { "epoch": 0.8639956391387299, "grad_norm": 0.2890625, "learning_rate": 1.1041260533375908e-06, "loss": 0.711, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6340 }, { "epoch": 0.8641319160534205, "grad_norm": 0.298828125, "learning_rate": 1.1019538517907779e-06, "loss": 0.6777, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6341 }, { "epoch": 0.8642681929681112, "grad_norm": 0.34765625, "learning_rate": 1.0997836644866544e-06, "loss": 0.6806, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6342 }, { "epoch": 0.8644044698828018, "grad_norm": 0.365234375, "learning_rate": 1.097615491916485e-06, "loss": 0.703, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6343 }, { "epoch": 0.8645407467974925, "grad_norm": 0.251953125, "learning_rate": 1.0954493345710782e-06, "loss": 0.6798, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6344 }, { "epoch": 0.8646770237121831, "grad_norm": 0.380859375, "learning_rate": 1.0932851929407828e-06, "loss": 0.7871, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6345 }, { "epoch": 0.8648133006268738, "grad_norm": 0.369140625, "learning_rate": 1.091123067515496e-06, "loss": 0.6888, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6346 }, { "epoch": 0.8649495775415644, "grad_norm": 0.27734375, "learning_rate": 1.0889629587846561e-06, "loss": 0.6729, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6347 }, { "epoch": 0.8650858544562551, "grad_norm": 0.302734375, "learning_rate": 1.0868048672372432e-06, "loss": 0.6947, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6348 }, { "epoch": 0.8652221313709457, "grad_norm": 0.359375, "learning_rate": 1.0846487933617833e-06, "loss": 0.6902, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6349 }, { "epoch": 0.8653584082856364, "grad_norm": 0.2392578125, "learning_rate": 1.0824947376463478e-06, "loss": 0.7043, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6350 }, { "epoch": 0.865494685200327, "grad_norm": 0.275390625, "learning_rate": 1.0803427005785417e-06, "loss": 0.6847, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6351 }, { "epoch": 0.8656309621150177, "grad_norm": 0.271484375, "learning_rate": 1.078192682645528e-06, "loss": 0.6485, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6352 }, { "epoch": 0.8657672390297083, "grad_norm": 0.384765625, "learning_rate": 1.0760446843339966e-06, "loss": 0.7113, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6353 }, { "epoch": 0.8659035159443991, "grad_norm": 0.326171875, "learning_rate": 1.073898706130192e-06, "loss": 0.7155, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6354 }, { "epoch": 0.8660397928590897, "grad_norm": 0.40234375, "learning_rate": 1.0717547485198976e-06, "loss": 0.7732, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6355 }, { "epoch": 0.8661760697737804, "grad_norm": 0.34375, "learning_rate": 1.0696128119884376e-06, "loss": 0.6349, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6356 }, { "epoch": 0.866312346688471, "grad_norm": 0.51171875, "learning_rate": 1.0674728970206805e-06, "loss": 0.8029, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6357 }, { "epoch": 0.8664486236031617, "grad_norm": 0.287109375, "learning_rate": 1.065335004101038e-06, "loss": 0.7111, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6358 }, { "epoch": 0.8665849005178523, "grad_norm": 0.271484375, "learning_rate": 1.0631991337134618e-06, "loss": 0.6537, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6359 }, { "epoch": 0.866721177432543, "grad_norm": 0.328125, "learning_rate": 1.0610652863414472e-06, "loss": 0.6551, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6360 }, { "epoch": 0.8668574543472336, "grad_norm": 0.30859375, "learning_rate": 1.0589334624680335e-06, "loss": 0.65, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6361 }, { "epoch": 0.8669937312619242, "grad_norm": 0.310546875, "learning_rate": 1.0568036625757939e-06, "loss": 0.7108, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6362 }, { "epoch": 0.8671300081766149, "grad_norm": 0.279296875, "learning_rate": 1.0546758871468576e-06, "loss": 0.7155, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6363 }, { "epoch": 0.8672662850913055, "grad_norm": 0.314453125, "learning_rate": 1.0525501366628787e-06, "loss": 0.7494, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6364 }, { "epoch": 0.8674025620059962, "grad_norm": 0.384765625, "learning_rate": 1.05042641160507e-06, "loss": 0.7113, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6365 }, { "epoch": 0.8675388389206868, "grad_norm": 0.330078125, "learning_rate": 1.04830471245417e-06, "loss": 0.7604, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6366 }, { "epoch": 0.8676751158353775, "grad_norm": 0.3359375, "learning_rate": 1.0461850396904683e-06, "loss": 0.6665, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6367 }, { "epoch": 0.8678113927500681, "grad_norm": 0.53515625, "learning_rate": 1.044067393793795e-06, "loss": 0.6926, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6368 }, { "epoch": 0.8679476696647588, "grad_norm": 0.35546875, "learning_rate": 1.0419517752435192e-06, "loss": 0.769, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6369 }, { "epoch": 0.8680839465794494, "grad_norm": 0.37109375, "learning_rate": 1.0398381845185468e-06, "loss": 0.6768, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6370 }, { "epoch": 0.8682202234941401, "grad_norm": 0.349609375, "learning_rate": 1.037726622097337e-06, "loss": 0.7027, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6371 }, { "epoch": 0.8683565004088307, "grad_norm": 0.3125, "learning_rate": 1.0356170884578764e-06, "loss": 0.7411, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6372 }, { "epoch": 0.8684927773235214, "grad_norm": 0.283203125, "learning_rate": 1.0335095840776998e-06, "loss": 0.6919, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6373 }, { "epoch": 0.868629054238212, "grad_norm": 0.33984375, "learning_rate": 1.0314041094338845e-06, "loss": 0.6893, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6374 }, { "epoch": 0.8687653311529027, "grad_norm": 0.296875, "learning_rate": 1.029300665003038e-06, "loss": 0.7301, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6375 }, { "epoch": 0.8689016080675933, "grad_norm": 0.361328125, "learning_rate": 1.0271992512613239e-06, "loss": 0.7543, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6376 }, { "epoch": 0.869037884982284, "grad_norm": 0.29296875, "learning_rate": 1.0250998686844305e-06, "loss": 0.7168, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6377 }, { "epoch": 0.8691741618969746, "grad_norm": 0.341796875, "learning_rate": 1.0230025177475944e-06, "loss": 0.6663, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6378 }, { "epoch": 0.8693104388116653, "grad_norm": 0.38671875, "learning_rate": 1.0209071989255926e-06, "loss": 0.8204, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6379 }, { "epoch": 0.8694467157263559, "grad_norm": 0.333984375, "learning_rate": 1.018813912692741e-06, "loss": 0.7301, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6380 }, { "epoch": 0.8695829926410467, "grad_norm": 0.625, "learning_rate": 1.0167226595228907e-06, "loss": 0.7373, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6381 }, { "epoch": 0.8697192695557373, "grad_norm": 0.359375, "learning_rate": 1.0146334398894442e-06, "loss": 0.7218, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6382 }, { "epoch": 0.869855546470428, "grad_norm": 0.458984375, "learning_rate": 1.0125462542653285e-06, "loss": 0.7394, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6383 }, { "epoch": 0.8699918233851186, "grad_norm": 0.291015625, "learning_rate": 1.0104611031230228e-06, "loss": 0.6841, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6384 }, { "epoch": 0.8701281002998092, "grad_norm": 0.33203125, "learning_rate": 1.008377986934539e-06, "loss": 0.6552, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6385 }, { "epoch": 0.8702643772144999, "grad_norm": 0.296875, "learning_rate": 1.0062969061714302e-06, "loss": 0.7413, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6386 }, { "epoch": 0.8704006541291905, "grad_norm": 0.3515625, "learning_rate": 1.0042178613047893e-06, "loss": 0.6977, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6387 }, { "epoch": 0.8705369310438812, "grad_norm": 0.318359375, "learning_rate": 1.0021408528052478e-06, "loss": 0.7087, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6388 }, { "epoch": 0.8706732079585718, "grad_norm": 0.38671875, "learning_rate": 1.0000658811429764e-06, "loss": 0.7581, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6389 }, { "epoch": 0.8708094848732625, "grad_norm": 0.2578125, "learning_rate": 9.979929467876848e-07, "loss": 0.6796, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6390 }, { "epoch": 0.8709457617879531, "grad_norm": 0.3125, "learning_rate": 9.95922050208622e-07, "loss": 0.6575, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6391 }, { "epoch": 0.8710820387026438, "grad_norm": 0.330078125, "learning_rate": 9.938531918745698e-07, "loss": 0.6807, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6392 }, { "epoch": 0.8712183156173344, "grad_norm": 0.302734375, "learning_rate": 9.917863722538622e-07, "loss": 0.6398, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6393 }, { "epoch": 0.8713545925320251, "grad_norm": 0.33203125, "learning_rate": 9.897215918143554e-07, "loss": 0.7852, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6394 }, { "epoch": 0.8714908694467157, "grad_norm": 0.38671875, "learning_rate": 9.876588510234586e-07, "loss": 0.7213, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6395 }, { "epoch": 0.8716271463614064, "grad_norm": 0.345703125, "learning_rate": 9.855981503481083e-07, "loss": 0.668, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6396 }, { "epoch": 0.871763423276097, "grad_norm": 0.3671875, "learning_rate": 9.835394902547834e-07, "loss": 0.6935, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6397 }, { "epoch": 0.8718997001907877, "grad_norm": 0.353515625, "learning_rate": 9.814828712095027e-07, "loss": 0.7677, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6398 }, { "epoch": 0.8720359771054783, "grad_norm": 0.330078125, "learning_rate": 9.79428293677821e-07, "loss": 0.739, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6399 }, { "epoch": 0.872172254020169, "grad_norm": 0.2890625, "learning_rate": 9.773757581248299e-07, "loss": 0.6921, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6400 }, { "epoch": 0.8723085309348596, "grad_norm": 0.375, "learning_rate": 9.753252650151624e-07, "loss": 0.7019, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6401 }, { "epoch": 0.8724448078495503, "grad_norm": 0.341796875, "learning_rate": 9.732768148129856e-07, "loss": 0.7419, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6402 }, { "epoch": 0.8725810847642409, "grad_norm": 0.333984375, "learning_rate": 9.712304079820013e-07, "loss": 0.6941, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6403 }, { "epoch": 0.8727173616789315, "grad_norm": 0.40234375, "learning_rate": 9.691860449854607e-07, "loss": 0.7047, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6404 }, { "epoch": 0.8728536385936222, "grad_norm": 0.296875, "learning_rate": 9.67143726286137e-07, "loss": 0.6613, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6405 }, { "epoch": 0.8729899155083128, "grad_norm": 0.251953125, "learning_rate": 9.651034523463542e-07, "loss": 0.6813, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6406 }, { "epoch": 0.8731261924230035, "grad_norm": 0.23828125, "learning_rate": 9.630652236279626e-07, "loss": 0.6771, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6407 }, { "epoch": 0.8732624693376942, "grad_norm": 0.388671875, "learning_rate": 9.61029040592355e-07, "loss": 0.7353, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6408 }, { "epoch": 0.8733987462523849, "grad_norm": 0.298828125, "learning_rate": 9.58994903700462e-07, "loss": 0.7149, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6409 }, { "epoch": 0.8735350231670755, "grad_norm": 0.333984375, "learning_rate": 9.569628134127484e-07, "loss": 0.7042, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6410 }, { "epoch": 0.8736713000817662, "grad_norm": 0.349609375, "learning_rate": 9.549327701892175e-07, "loss": 0.704, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6411 }, { "epoch": 0.8738075769964568, "grad_norm": 0.337890625, "learning_rate": 9.529047744894071e-07, "loss": 0.7052, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6412 }, { "epoch": 0.8739438539111475, "grad_norm": 0.31640625, "learning_rate": 9.508788267723934e-07, "loss": 0.6902, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6413 }, { "epoch": 0.8740801308258381, "grad_norm": 0.765625, "learning_rate": 9.488549274967873e-07, "loss": 0.7217, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6414 }, { "epoch": 0.8742164077405288, "grad_norm": 0.32421875, "learning_rate": 9.468330771207413e-07, "loss": 0.7286, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6415 }, { "epoch": 0.8743526846552194, "grad_norm": 0.380859375, "learning_rate": 9.448132761019324e-07, "loss": 0.821, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6416 }, { "epoch": 0.8744889615699101, "grad_norm": 0.330078125, "learning_rate": 9.427955248975884e-07, "loss": 0.7066, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6417 }, { "epoch": 0.8746252384846007, "grad_norm": 0.25, "learning_rate": 9.407798239644617e-07, "loss": 0.7755, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6418 }, { "epoch": 0.8747615153992914, "grad_norm": 0.341796875, "learning_rate": 9.38766173758845e-07, "loss": 0.7257, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6419 }, { "epoch": 0.874897792313982, "grad_norm": 0.333984375, "learning_rate": 9.36754574736567e-07, "loss": 0.6992, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6420 }, { "epoch": 0.8750340692286727, "grad_norm": 0.353515625, "learning_rate": 9.347450273529923e-07, "loss": 0.7417, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6421 }, { "epoch": 0.8751703461433633, "grad_norm": 0.326171875, "learning_rate": 9.327375320630205e-07, "loss": 0.7198, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6422 }, { "epoch": 0.875306623058054, "grad_norm": 0.314453125, "learning_rate": 9.307320893210848e-07, "loss": 0.7833, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6423 }, { "epoch": 0.8754428999727446, "grad_norm": 0.42578125, "learning_rate": 9.287286995811562e-07, "loss": 0.7886, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6424 }, { "epoch": 0.8755791768874353, "grad_norm": 0.31640625, "learning_rate": 9.267273632967411e-07, "loss": 0.6725, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6425 }, { "epoch": 0.8757154538021259, "grad_norm": 0.263671875, "learning_rate": 9.247280809208814e-07, "loss": 0.6745, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6426 }, { "epoch": 0.8758517307168165, "grad_norm": 0.302734375, "learning_rate": 9.227308529061473e-07, "loss": 0.7397, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6427 }, { "epoch": 0.8759880076315072, "grad_norm": 0.341796875, "learning_rate": 9.207356797046574e-07, "loss": 0.7188, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6428 }, { "epoch": 0.8761242845461978, "grad_norm": 0.34375, "learning_rate": 9.187425617680513e-07, "loss": 0.6635, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6429 }, { "epoch": 0.8762605614608885, "grad_norm": 0.384765625, "learning_rate": 9.167514995475102e-07, "loss": 0.7415, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6430 }, { "epoch": 0.8763968383755791, "grad_norm": 0.294921875, "learning_rate": 9.147624934937504e-07, "loss": 0.7302, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6431 }, { "epoch": 0.8765331152902698, "grad_norm": 0.267578125, "learning_rate": 9.12775544057023e-07, "loss": 0.6689, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6432 }, { "epoch": 0.8766693922049604, "grad_norm": 0.4453125, "learning_rate": 9.107906516871057e-07, "loss": 0.716, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6433 }, { "epoch": 0.8768056691196511, "grad_norm": 0.46484375, "learning_rate": 9.088078168333247e-07, "loss": 0.7412, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6434 }, { "epoch": 0.8769419460343418, "grad_norm": 0.376953125, "learning_rate": 9.068270399445256e-07, "loss": 0.7751, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6435 }, { "epoch": 0.8770782229490325, "grad_norm": 0.28515625, "learning_rate": 9.048483214691029e-07, "loss": 0.6608, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6436 }, { "epoch": 0.8772144998637231, "grad_norm": 0.33984375, "learning_rate": 9.028716618549693e-07, "loss": 0.7278, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6437 }, { "epoch": 0.8773507767784138, "grad_norm": 0.357421875, "learning_rate": 9.008970615495827e-07, "loss": 0.6767, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6438 }, { "epoch": 0.8774870536931044, "grad_norm": 0.384765625, "learning_rate": 8.989245209999342e-07, "loss": 0.7848, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6439 }, { "epoch": 0.8776233306077951, "grad_norm": 0.263671875, "learning_rate": 8.969540406525423e-07, "loss": 0.7039, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6440 }, { "epoch": 0.8777596075224857, "grad_norm": 0.28125, "learning_rate": 8.949856209534647e-07, "loss": 0.7131, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6441 }, { "epoch": 0.8778958844371764, "grad_norm": 0.275390625, "learning_rate": 8.930192623482892e-07, "loss": 0.6905, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6442 }, { "epoch": 0.878032161351867, "grad_norm": 0.458984375, "learning_rate": 8.91054965282141e-07, "loss": 0.775, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6443 }, { "epoch": 0.8781684382665577, "grad_norm": 0.318359375, "learning_rate": 8.890927301996743e-07, "loss": 0.7354, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6444 }, { "epoch": 0.8783047151812483, "grad_norm": 0.384765625, "learning_rate": 8.871325575450806e-07, "loss": 0.7149, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6445 }, { "epoch": 0.878440992095939, "grad_norm": 0.314453125, "learning_rate": 8.851744477620783e-07, "loss": 0.7445, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6446 }, { "epoch": 0.8785772690106296, "grad_norm": 0.255859375, "learning_rate": 8.832184012939282e-07, "loss": 0.6905, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6447 }, { "epoch": 0.8787135459253202, "grad_norm": 0.318359375, "learning_rate": 8.812644185834151e-07, "loss": 0.6911, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6448 }, { "epoch": 0.8788498228400109, "grad_norm": 0.31640625, "learning_rate": 8.793125000728619e-07, "loss": 0.7564, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6449 }, { "epoch": 0.8789860997547015, "grad_norm": 0.451171875, "learning_rate": 8.773626462041218e-07, "loss": 0.847, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6450 }, { "epoch": 0.8791223766693922, "grad_norm": 0.431640625, "learning_rate": 8.754148574185817e-07, "loss": 0.7377, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6451 }, { "epoch": 0.8792586535840828, "grad_norm": 0.306640625, "learning_rate": 8.734691341571611e-07, "loss": 0.7464, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6452 }, { "epoch": 0.8793949304987735, "grad_norm": 0.28515625, "learning_rate": 8.71525476860311e-07, "loss": 0.687, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6453 }, { "epoch": 0.8795312074134641, "grad_norm": 0.33984375, "learning_rate": 8.695838859680161e-07, "loss": 0.6966, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6454 }, { "epoch": 0.8796674843281548, "grad_norm": 0.298828125, "learning_rate": 8.676443619197916e-07, "loss": 0.7066, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6455 }, { "epoch": 0.8798037612428454, "grad_norm": 0.294921875, "learning_rate": 8.657069051546884e-07, "loss": 0.713, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6456 }, { "epoch": 0.8799400381575361, "grad_norm": 0.302734375, "learning_rate": 8.637715161112826e-07, "loss": 0.7354, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6457 }, { "epoch": 0.8800763150722267, "grad_norm": 0.283203125, "learning_rate": 8.61838195227691e-07, "loss": 0.7355, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6458 }, { "epoch": 0.8802125919869174, "grad_norm": 0.6015625, "learning_rate": 8.599069429415552e-07, "loss": 0.7978, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6459 }, { "epoch": 0.880348868901608, "grad_norm": 0.2890625, "learning_rate": 8.579777596900496e-07, "loss": 0.6988, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6460 }, { "epoch": 0.8804851458162987, "grad_norm": 0.2890625, "learning_rate": 8.56050645909885e-07, "loss": 0.6966, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6461 }, { "epoch": 0.8806214227309894, "grad_norm": 0.31640625, "learning_rate": 8.541256020372978e-07, "loss": 0.7905, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6462 }, { "epoch": 0.8807576996456801, "grad_norm": 0.3203125, "learning_rate": 8.522026285080598e-07, "loss": 0.695, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6463 }, { "epoch": 0.8808939765603707, "grad_norm": 0.5, "learning_rate": 8.502817257574725e-07, "loss": 0.7528, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6464 }, { "epoch": 0.8810302534750614, "grad_norm": 0.26171875, "learning_rate": 8.483628942203693e-07, "loss": 0.7383, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6465 }, { "epoch": 0.881166530389752, "grad_norm": 0.33203125, "learning_rate": 8.464461343311137e-07, "loss": 0.8494, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6466 }, { "epoch": 0.8813028073044427, "grad_norm": 0.279296875, "learning_rate": 8.445314465236021e-07, "loss": 0.6896, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6467 }, { "epoch": 0.8814390842191333, "grad_norm": 0.298828125, "learning_rate": 8.426188312312578e-07, "loss": 0.6684, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6468 }, { "epoch": 0.881575361133824, "grad_norm": 0.2734375, "learning_rate": 8.407082888870422e-07, "loss": 0.6712, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6469 }, { "epoch": 0.8817116380485146, "grad_norm": 0.27734375, "learning_rate": 8.387998199234382e-07, "loss": 0.6851, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6470 }, { "epoch": 0.8818479149632052, "grad_norm": 0.3046875, "learning_rate": 8.368934247724681e-07, "loss": 0.6197, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6471 }, { "epoch": 0.8819841918778959, "grad_norm": 0.41015625, "learning_rate": 8.349891038656776e-07, "loss": 0.8288, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6472 }, { "epoch": 0.8821204687925865, "grad_norm": 0.375, "learning_rate": 8.330868576341489e-07, "loss": 0.7268, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6473 }, { "epoch": 0.8822567457072772, "grad_norm": 0.326171875, "learning_rate": 8.311866865084916e-07, "loss": 0.7593, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6474 }, { "epoch": 0.8823930226219678, "grad_norm": 0.259765625, "learning_rate": 8.292885909188431e-07, "loss": 0.6807, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6475 }, { "epoch": 0.8825292995366585, "grad_norm": 0.322265625, "learning_rate": 8.27392571294876e-07, "loss": 0.6951, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6476 }, { "epoch": 0.8826655764513491, "grad_norm": 0.30078125, "learning_rate": 8.254986280657906e-07, "loss": 0.6765, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6477 }, { "epoch": 0.8828018533660398, "grad_norm": 0.416015625, "learning_rate": 8.236067616603171e-07, "loss": 0.6611, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6478 }, { "epoch": 0.8829381302807304, "grad_norm": 0.27734375, "learning_rate": 8.21716972506712e-07, "loss": 0.6925, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6479 }, { "epoch": 0.8830744071954211, "grad_norm": 0.357421875, "learning_rate": 8.198292610327707e-07, "loss": 0.79, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6480 }, { "epoch": 0.8832106841101117, "grad_norm": 0.30859375, "learning_rate": 8.179436276658093e-07, "loss": 0.7712, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6481 }, { "epoch": 0.8833469610248024, "grad_norm": 0.55078125, "learning_rate": 8.160600728326773e-07, "loss": 0.7132, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6482 }, { "epoch": 0.883483237939493, "grad_norm": 0.2734375, "learning_rate": 8.141785969597538e-07, "loss": 0.7061, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6483 }, { "epoch": 0.8836195148541837, "grad_norm": 0.2734375, "learning_rate": 8.122992004729469e-07, "loss": 0.703, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6484 }, { "epoch": 0.8837557917688743, "grad_norm": 0.484375, "learning_rate": 8.10421883797694e-07, "loss": 0.7245, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6485 }, { "epoch": 0.883892068683565, "grad_norm": 0.365234375, "learning_rate": 8.085466473589609e-07, "loss": 0.811, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6486 }, { "epoch": 0.8840283455982556, "grad_norm": 0.337890625, "learning_rate": 8.066734915812436e-07, "loss": 0.7236, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6487 }, { "epoch": 0.8841646225129463, "grad_norm": 0.30078125, "learning_rate": 8.048024168885671e-07, "loss": 0.7951, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6488 }, { "epoch": 0.884300899427637, "grad_norm": 0.609375, "learning_rate": 8.029334237044862e-07, "loss": 0.7608, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6489 }, { "epoch": 0.8844371763423277, "grad_norm": 0.28125, "learning_rate": 8.010665124520766e-07, "loss": 0.6911, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6490 }, { "epoch": 0.8845734532570183, "grad_norm": 0.400390625, "learning_rate": 7.992016835539595e-07, "loss": 0.6923, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6491 }, { "epoch": 0.884709730171709, "grad_norm": 0.294921875, "learning_rate": 7.973389374322649e-07, "loss": 0.716, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6492 }, { "epoch": 0.8848460070863996, "grad_norm": 0.275390625, "learning_rate": 7.954782745086687e-07, "loss": 0.7784, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6493 }, { "epoch": 0.8849822840010902, "grad_norm": 0.29296875, "learning_rate": 7.936196952043629e-07, "loss": 0.7139, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6494 }, { "epoch": 0.8851185609157809, "grad_norm": 0.31640625, "learning_rate": 7.917631999400733e-07, "loss": 0.7041, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6495 }, { "epoch": 0.8852548378304715, "grad_norm": 0.26953125, "learning_rate": 7.899087891360524e-07, "loss": 0.6723, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6496 }, { "epoch": 0.8853911147451622, "grad_norm": 0.302734375, "learning_rate": 7.880564632120857e-07, "loss": 0.6891, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6497 }, { "epoch": 0.8855273916598528, "grad_norm": 0.330078125, "learning_rate": 7.862062225874756e-07, "loss": 0.6702, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6498 }, { "epoch": 0.8856636685745435, "grad_norm": 0.314453125, "learning_rate": 7.843580676810658e-07, "loss": 0.7018, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6499 }, { "epoch": 0.8857999454892341, "grad_norm": 0.3359375, "learning_rate": 7.825119989112173e-07, "loss": 0.7346, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6500 }, { "epoch": 0.8859362224039248, "grad_norm": 0.3125, "learning_rate": 7.806680166958247e-07, "loss": 0.6705, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6501 }, { "epoch": 0.8860724993186154, "grad_norm": 0.2490234375, "learning_rate": 7.788261214523086e-07, "loss": 0.6818, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6502 }, { "epoch": 0.8862087762333061, "grad_norm": 0.396484375, "learning_rate": 7.769863135976152e-07, "loss": 0.7568, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6503 }, { "epoch": 0.8863450531479967, "grad_norm": 0.3671875, "learning_rate": 7.75148593548225e-07, "loss": 0.7234, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6504 }, { "epoch": 0.8864813300626874, "grad_norm": 0.77734375, "learning_rate": 7.733129617201363e-07, "loss": 0.7083, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6505 }, { "epoch": 0.886617606977378, "grad_norm": 0.376953125, "learning_rate": 7.714794185288821e-07, "loss": 0.6676, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6506 }, { "epoch": 0.8867538838920687, "grad_norm": 0.27734375, "learning_rate": 7.696479643895183e-07, "loss": 0.7084, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6507 }, { "epoch": 0.8868901608067593, "grad_norm": 0.4296875, "learning_rate": 7.67818599716631e-07, "loss": 0.7412, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6508 }, { "epoch": 0.88702643772145, "grad_norm": 0.419921875, "learning_rate": 7.659913249243278e-07, "loss": 0.7428, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6509 }, { "epoch": 0.8871627146361406, "grad_norm": 0.337890625, "learning_rate": 7.641661404262546e-07, "loss": 0.6905, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6510 }, { "epoch": 0.8872989915508313, "grad_norm": 0.3203125, "learning_rate": 7.623430466355686e-07, "loss": 0.7391, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6511 }, { "epoch": 0.8874352684655219, "grad_norm": 0.32421875, "learning_rate": 7.605220439649697e-07, "loss": 0.6519, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6512 }, { "epoch": 0.8875715453802125, "grad_norm": 0.26171875, "learning_rate": 7.587031328266703e-07, "loss": 0.7221, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6513 }, { "epoch": 0.8877078222949032, "grad_norm": 0.3203125, "learning_rate": 7.56886313632419e-07, "loss": 0.7306, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6514 }, { "epoch": 0.8878440992095938, "grad_norm": 0.26953125, "learning_rate": 7.550715867934866e-07, "loss": 0.7519, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6515 }, { "epoch": 0.8879803761242846, "grad_norm": 0.375, "learning_rate": 7.532589527206713e-07, "loss": 0.7195, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6516 }, { "epoch": 0.8881166530389752, "grad_norm": 0.31640625, "learning_rate": 7.514484118242971e-07, "loss": 0.6481, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6517 }, { "epoch": 0.8882529299536659, "grad_norm": 0.361328125, "learning_rate": 7.49639964514215e-07, "loss": 0.754, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6518 }, { "epoch": 0.8883892068683565, "grad_norm": 0.279296875, "learning_rate": 7.47833611199803e-07, "loss": 0.7164, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6519 }, { "epoch": 0.8885254837830472, "grad_norm": 0.37109375, "learning_rate": 7.460293522899586e-07, "loss": 0.7676, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6520 }, { "epoch": 0.8886617606977378, "grad_norm": 0.333984375, "learning_rate": 7.442271881931173e-07, "loss": 0.7715, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6521 }, { "epoch": 0.8887980376124285, "grad_norm": 0.28125, "learning_rate": 7.424271193172272e-07, "loss": 0.772, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6522 }, { "epoch": 0.8889343145271191, "grad_norm": 0.34375, "learning_rate": 7.406291460697734e-07, "loss": 0.7381, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6523 }, { "epoch": 0.8890705914418098, "grad_norm": 0.416015625, "learning_rate": 7.388332688577571e-07, "loss": 0.7677, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6524 }, { "epoch": 0.8892068683565004, "grad_norm": 0.359375, "learning_rate": 7.370394880877118e-07, "loss": 0.722, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6525 }, { "epoch": 0.8893431452711911, "grad_norm": 0.291015625, "learning_rate": 7.352478041656929e-07, "loss": 0.8171, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6526 }, { "epoch": 0.8894794221858817, "grad_norm": 0.318359375, "learning_rate": 7.334582174972837e-07, "loss": 0.6877, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6527 }, { "epoch": 0.8896156991005724, "grad_norm": 0.46484375, "learning_rate": 7.316707284875901e-07, "loss": 0.7706, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6528 }, { "epoch": 0.889751976015263, "grad_norm": 0.294921875, "learning_rate": 7.298853375412451e-07, "loss": 0.7216, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6529 }, { "epoch": 0.8898882529299537, "grad_norm": 0.365234375, "learning_rate": 7.281020450624054e-07, "loss": 0.7476, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6530 }, { "epoch": 0.8900245298446443, "grad_norm": 0.2470703125, "learning_rate": 7.263208514547548e-07, "loss": 0.6579, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6531 }, { "epoch": 0.890160806759335, "grad_norm": 0.318359375, "learning_rate": 7.245417571214996e-07, "loss": 0.714, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6532 }, { "epoch": 0.8902970836740256, "grad_norm": 0.408203125, "learning_rate": 7.227647624653689e-07, "loss": 0.759, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6533 }, { "epoch": 0.8904333605887162, "grad_norm": 0.322265625, "learning_rate": 7.209898678886252e-07, "loss": 0.7008, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6534 }, { "epoch": 0.8905696375034069, "grad_norm": 0.298828125, "learning_rate": 7.192170737930448e-07, "loss": 0.7795, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6535 }, { "epoch": 0.8907059144180975, "grad_norm": 0.357421875, "learning_rate": 7.174463805799348e-07, "loss": 0.7206, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6536 }, { "epoch": 0.8908421913327882, "grad_norm": 0.267578125, "learning_rate": 7.156777886501265e-07, "loss": 0.6748, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6537 }, { "epoch": 0.8909784682474788, "grad_norm": 0.25390625, "learning_rate": 7.139112984039742e-07, "loss": 0.6562, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6538 }, { "epoch": 0.8911147451621695, "grad_norm": 0.302734375, "learning_rate": 7.121469102413558e-07, "loss": 0.7397, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6539 }, { "epoch": 0.8912510220768601, "grad_norm": 0.291015625, "learning_rate": 7.103846245616752e-07, "loss": 0.6598, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6540 }, { "epoch": 0.8913872989915508, "grad_norm": 0.35546875, "learning_rate": 7.086244417638588e-07, "loss": 0.7307, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6541 }, { "epoch": 0.8915235759062414, "grad_norm": 0.384765625, "learning_rate": 7.068663622463579e-07, "loss": 0.7371, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6542 }, { "epoch": 0.8916598528209322, "grad_norm": 0.380859375, "learning_rate": 7.051103864071496e-07, "loss": 0.7576, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6543 }, { "epoch": 0.8917961297356228, "grad_norm": 0.3203125, "learning_rate": 7.033565146437271e-07, "loss": 0.6957, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6544 }, { "epoch": 0.8919324066503135, "grad_norm": 0.287109375, "learning_rate": 7.016047473531185e-07, "loss": 0.7335, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6545 }, { "epoch": 0.8920686835650041, "grad_norm": 0.322265625, "learning_rate": 6.998550849318653e-07, "loss": 0.6786, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6546 }, { "epoch": 0.8922049604796948, "grad_norm": 0.26171875, "learning_rate": 6.981075277760396e-07, "loss": 0.6615, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6547 }, { "epoch": 0.8923412373943854, "grad_norm": 0.28515625, "learning_rate": 6.96362076281234e-07, "loss": 0.6808, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6548 }, { "epoch": 0.8924775143090761, "grad_norm": 0.318359375, "learning_rate": 6.946187308425655e-07, "loss": 0.6818, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6549 }, { "epoch": 0.8926137912237667, "grad_norm": 0.40234375, "learning_rate": 6.9287749185467e-07, "loss": 0.6938, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6550 }, { "epoch": 0.8927500681384574, "grad_norm": 0.310546875, "learning_rate": 6.911383597117139e-07, "loss": 0.7084, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6551 }, { "epoch": 0.892886345053148, "grad_norm": 0.296875, "learning_rate": 6.894013348073825e-07, "loss": 0.7037, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6552 }, { "epoch": 0.8930226219678387, "grad_norm": 0.314453125, "learning_rate": 6.876664175348835e-07, "loss": 0.7168, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6553 }, { "epoch": 0.8931588988825293, "grad_norm": 0.302734375, "learning_rate": 6.859336082869505e-07, "loss": 0.7881, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6554 }, { "epoch": 0.89329517579722, "grad_norm": 0.2490234375, "learning_rate": 6.842029074558332e-07, "loss": 0.7285, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6555 }, { "epoch": 0.8934314527119106, "grad_norm": 0.33203125, "learning_rate": 6.824743154333157e-07, "loss": 0.7919, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6556 }, { "epoch": 0.8935677296266012, "grad_norm": 0.36328125, "learning_rate": 6.807478326106932e-07, "loss": 0.7025, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6557 }, { "epoch": 0.8937040065412919, "grad_norm": 0.28125, "learning_rate": 6.790234593787881e-07, "loss": 0.6992, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6558 }, { "epoch": 0.8938402834559825, "grad_norm": 0.328125, "learning_rate": 6.773011961279463e-07, "loss": 0.7075, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6559 }, { "epoch": 0.8939765603706732, "grad_norm": 0.3828125, "learning_rate": 6.755810432480359e-07, "loss": 0.7759, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6560 }, { "epoch": 0.8941128372853638, "grad_norm": 0.31640625, "learning_rate": 6.738630011284441e-07, "loss": 0.7464, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6561 }, { "epoch": 0.8942491142000545, "grad_norm": 0.3125, "learning_rate": 6.721470701580856e-07, "loss": 0.7159, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6562 }, { "epoch": 0.8943853911147451, "grad_norm": 0.287109375, "learning_rate": 6.704332507253897e-07, "loss": 0.7063, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6563 }, { "epoch": 0.8945216680294358, "grad_norm": 0.3125, "learning_rate": 6.68721543218317e-07, "loss": 0.7836, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6564 }, { "epoch": 0.8946579449441264, "grad_norm": 0.40234375, "learning_rate": 6.67011948024342e-07, "loss": 0.8194, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6565 }, { "epoch": 0.8947942218588171, "grad_norm": 0.330078125, "learning_rate": 6.653044655304652e-07, "loss": 0.7265, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6566 }, { "epoch": 0.8949304987735077, "grad_norm": 0.333984375, "learning_rate": 6.635990961232087e-07, "loss": 0.6791, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6567 }, { "epoch": 0.8950667756881984, "grad_norm": 0.2734375, "learning_rate": 6.618958401886133e-07, "loss": 0.6831, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6568 }, { "epoch": 0.895203052602889, "grad_norm": 0.306640625, "learning_rate": 6.601946981122454e-07, "loss": 0.7557, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6569 }, { "epoch": 0.8953393295175798, "grad_norm": 0.259765625, "learning_rate": 6.5849567027919e-07, "loss": 0.6413, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6570 }, { "epoch": 0.8954756064322704, "grad_norm": 0.376953125, "learning_rate": 6.567987570740553e-07, "loss": 0.7041, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6571 }, { "epoch": 0.8956118833469611, "grad_norm": 0.275390625, "learning_rate": 6.551039588809694e-07, "loss": 0.7555, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6572 }, { "epoch": 0.8957481602616517, "grad_norm": 0.39453125, "learning_rate": 6.534112760835843e-07, "loss": 0.8118, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6573 }, { "epoch": 0.8958844371763424, "grad_norm": 0.4296875, "learning_rate": 6.517207090650657e-07, "loss": 0.7669, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6574 }, { "epoch": 0.896020714091033, "grad_norm": 0.31640625, "learning_rate": 6.500322582081131e-07, "loss": 0.7331, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6575 }, { "epoch": 0.8961569910057237, "grad_norm": 0.318359375, "learning_rate": 6.48345923894933e-07, "loss": 0.695, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6576 }, { "epoch": 0.8962932679204143, "grad_norm": 0.3125, "learning_rate": 6.466617065072634e-07, "loss": 0.6903, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6577 }, { "epoch": 0.896429544835105, "grad_norm": 0.455078125, "learning_rate": 6.449796064263569e-07, "loss": 0.6381, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6578 }, { "epoch": 0.8965658217497956, "grad_norm": 0.369140625, "learning_rate": 6.432996240329903e-07, "loss": 0.7411, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6579 }, { "epoch": 0.8967020986644862, "grad_norm": 0.32421875, "learning_rate": 6.416217597074603e-07, "loss": 0.6879, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6580 }, { "epoch": 0.8968383755791769, "grad_norm": 0.34765625, "learning_rate": 6.399460138295809e-07, "loss": 0.7563, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6581 }, { "epoch": 0.8969746524938675, "grad_norm": 0.291015625, "learning_rate": 6.382723867786922e-07, "loss": 0.67, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6582 }, { "epoch": 0.8971109294085582, "grad_norm": 0.27734375, "learning_rate": 6.366008789336498e-07, "loss": 0.6816, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6583 }, { "epoch": 0.8972472063232488, "grad_norm": 0.310546875, "learning_rate": 6.349314906728333e-07, "loss": 0.7542, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6584 }, { "epoch": 0.8973834832379395, "grad_norm": 0.48828125, "learning_rate": 6.332642223741359e-07, "loss": 0.7874, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6585 }, { "epoch": 0.8975197601526301, "grad_norm": 0.486328125, "learning_rate": 6.315990744149825e-07, "loss": 0.6821, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6586 }, { "epoch": 0.8976560370673208, "grad_norm": 0.37890625, "learning_rate": 6.29936047172306e-07, "loss": 0.747, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6587 }, { "epoch": 0.8977923139820114, "grad_norm": 0.322265625, "learning_rate": 6.282751410225652e-07, "loss": 0.6611, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6588 }, { "epoch": 0.8979285908967021, "grad_norm": 0.3984375, "learning_rate": 6.266163563417394e-07, "loss": 0.6878, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6589 }, { "epoch": 0.8980648678113927, "grad_norm": 0.265625, "learning_rate": 6.249596935053259e-07, "loss": 0.6316, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6590 }, { "epoch": 0.8982011447260834, "grad_norm": 0.322265625, "learning_rate": 6.233051528883405e-07, "loss": 0.7257, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6591 }, { "epoch": 0.898337421640774, "grad_norm": 0.40234375, "learning_rate": 6.216527348653223e-07, "loss": 0.725, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6592 }, { "epoch": 0.8984736985554647, "grad_norm": 0.2890625, "learning_rate": 6.200024398103255e-07, "loss": 0.7394, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6593 }, { "epoch": 0.8986099754701553, "grad_norm": 0.28515625, "learning_rate": 6.183542680969268e-07, "loss": 0.724, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6594 }, { "epoch": 0.898746252384846, "grad_norm": 0.39453125, "learning_rate": 6.167082200982244e-07, "loss": 0.7654, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6595 }, { "epoch": 0.8988825292995366, "grad_norm": 0.265625, "learning_rate": 6.150642961868258e-07, "loss": 0.7353, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6596 }, { "epoch": 0.8990188062142274, "grad_norm": 0.29296875, "learning_rate": 6.134224967348712e-07, "loss": 0.7089, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6597 }, { "epoch": 0.899155083128918, "grad_norm": 0.279296875, "learning_rate": 6.117828221140098e-07, "loss": 0.6606, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6598 }, { "epoch": 0.8992913600436087, "grad_norm": 0.31640625, "learning_rate": 6.101452726954138e-07, "loss": 0.6844, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6599 }, { "epoch": 0.8994276369582993, "grad_norm": 0.296875, "learning_rate": 6.085098488497743e-07, "loss": 0.733, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6600 }, { "epoch": 0.89956391387299, "grad_norm": 0.326171875, "learning_rate": 6.068765509472995e-07, "loss": 0.7306, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6601 }, { "epoch": 0.8997001907876806, "grad_norm": 0.2490234375, "learning_rate": 6.052453793577195e-07, "loss": 0.7487, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6602 }, { "epoch": 0.8998364677023712, "grad_norm": 0.337890625, "learning_rate": 6.036163344502798e-07, "loss": 0.7636, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6603 }, { "epoch": 0.8999727446170619, "grad_norm": 0.263671875, "learning_rate": 6.019894165937468e-07, "loss": 0.7159, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6604 }, { "epoch": 0.9001090215317525, "grad_norm": 0.244140625, "learning_rate": 6.003646261564034e-07, "loss": 0.6726, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6605 }, { "epoch": 0.9002452984464432, "grad_norm": 0.328125, "learning_rate": 5.987419635060543e-07, "loss": 0.666, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6606 }, { "epoch": 0.9003815753611338, "grad_norm": 0.287109375, "learning_rate": 5.971214290100147e-07, "loss": 0.695, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6607 }, { "epoch": 0.9005178522758245, "grad_norm": 0.365234375, "learning_rate": 5.955030230351311e-07, "loss": 0.6591, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6608 }, { "epoch": 0.9006541291905151, "grad_norm": 0.275390625, "learning_rate": 5.938867459477526e-07, "loss": 0.727, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6609 }, { "epoch": 0.9007904061052058, "grad_norm": 0.373046875, "learning_rate": 5.922725981137623e-07, "loss": 0.7878, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6610 }, { "epoch": 0.9009266830198964, "grad_norm": 0.306640625, "learning_rate": 5.906605798985476e-07, "loss": 0.7147, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6611 }, { "epoch": 0.9010629599345871, "grad_norm": 0.337890625, "learning_rate": 5.890506916670214e-07, "loss": 0.7506, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6612 }, { "epoch": 0.9011992368492777, "grad_norm": 0.4609375, "learning_rate": 5.874429337836119e-07, "loss": 0.7618, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6613 }, { "epoch": 0.9013355137639684, "grad_norm": 0.306640625, "learning_rate": 5.858373066122692e-07, "loss": 0.6935, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6614 }, { "epoch": 0.901471790678659, "grad_norm": 0.287109375, "learning_rate": 5.842338105164525e-07, "loss": 0.6819, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6615 }, { "epoch": 0.9016080675933497, "grad_norm": 0.302734375, "learning_rate": 5.82632445859147e-07, "loss": 0.7504, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6616 }, { "epoch": 0.9017443445080403, "grad_norm": 0.318359375, "learning_rate": 5.81033213002854e-07, "loss": 0.6838, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6617 }, { "epoch": 0.901880621422731, "grad_norm": 0.376953125, "learning_rate": 5.794361123095837e-07, "loss": 0.7606, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6618 }, { "epoch": 0.9020168983374216, "grad_norm": 0.392578125, "learning_rate": 5.778411441408793e-07, "loss": 0.7369, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6619 }, { "epoch": 0.9021531752521122, "grad_norm": 0.52734375, "learning_rate": 5.762483088577831e-07, "loss": 0.8456, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6620 }, { "epoch": 0.9022894521668029, "grad_norm": 0.322265625, "learning_rate": 5.746576068208721e-07, "loss": 0.6789, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6621 }, { "epoch": 0.9024257290814935, "grad_norm": 0.27734375, "learning_rate": 5.730690383902271e-07, "loss": 0.7974, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6622 }, { "epoch": 0.9025620059961842, "grad_norm": 0.396484375, "learning_rate": 5.714826039254517e-07, "loss": 0.7433, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6623 }, { "epoch": 0.902698282910875, "grad_norm": 0.3671875, "learning_rate": 5.698983037856665e-07, "loss": 0.681, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6624 }, { "epoch": 0.9028345598255656, "grad_norm": 0.392578125, "learning_rate": 5.683161383295077e-07, "loss": 0.8016, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6625 }, { "epoch": 0.9029708367402562, "grad_norm": 0.318359375, "learning_rate": 5.667361079151268e-07, "loss": 0.7326, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6626 }, { "epoch": 0.9031071136549469, "grad_norm": 0.298828125, "learning_rate": 5.651582129001987e-07, "loss": 0.7052, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6627 }, { "epoch": 0.9032433905696375, "grad_norm": 0.291015625, "learning_rate": 5.635824536419043e-07, "loss": 0.7189, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6628 }, { "epoch": 0.9033796674843282, "grad_norm": 0.8203125, "learning_rate": 5.620088304969517e-07, "loss": 0.765, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6629 }, { "epoch": 0.9035159443990188, "grad_norm": 0.34375, "learning_rate": 5.604373438215582e-07, "loss": 0.6682, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6630 }, { "epoch": 0.9036522213137095, "grad_norm": 0.353515625, "learning_rate": 5.588679939714592e-07, "loss": 0.7438, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6631 }, { "epoch": 0.9037884982284001, "grad_norm": 0.3046875, "learning_rate": 5.573007813019082e-07, "loss": 0.7337, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6632 }, { "epoch": 0.9039247751430908, "grad_norm": 0.25, "learning_rate": 5.557357061676727e-07, "loss": 0.7236, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6633 }, { "epoch": 0.9040610520577814, "grad_norm": 0.296875, "learning_rate": 5.541727689230381e-07, "loss": 0.7554, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6634 }, { "epoch": 0.9041973289724721, "grad_norm": 0.263671875, "learning_rate": 5.526119699218058e-07, "loss": 0.7572, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6635 }, { "epoch": 0.9043336058871627, "grad_norm": 0.30078125, "learning_rate": 5.510533095172921e-07, "loss": 0.6843, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6636 }, { "epoch": 0.9044698828018534, "grad_norm": 0.53125, "learning_rate": 5.49496788062327e-07, "loss": 0.7668, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6637 }, { "epoch": 0.904606159716544, "grad_norm": 0.3359375, "learning_rate": 5.479424059092642e-07, "loss": 0.8108, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6638 }, { "epoch": 0.9047424366312347, "grad_norm": 0.482421875, "learning_rate": 5.463901634099611e-07, "loss": 0.6892, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6639 }, { "epoch": 0.9048787135459253, "grad_norm": 0.37109375, "learning_rate": 5.448400609158033e-07, "loss": 0.6652, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6640 }, { "epoch": 0.905014990460616, "grad_norm": 0.30078125, "learning_rate": 5.432920987776835e-07, "loss": 0.7309, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6641 }, { "epoch": 0.9051512673753066, "grad_norm": 0.5625, "learning_rate": 5.417462773460125e-07, "loss": 0.7032, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6642 }, { "epoch": 0.9052875442899972, "grad_norm": 0.5, "learning_rate": 5.402025969707159e-07, "loss": 0.7131, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6643 }, { "epoch": 0.9054238212046879, "grad_norm": 0.265625, "learning_rate": 5.386610580012364e-07, "loss": 0.6809, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6644 }, { "epoch": 0.9055600981193785, "grad_norm": 0.310546875, "learning_rate": 5.371216607865304e-07, "loss": 0.681, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6645 }, { "epoch": 0.9056963750340692, "grad_norm": 0.3046875, "learning_rate": 5.355844056750703e-07, "loss": 0.7803, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6646 }, { "epoch": 0.9058326519487598, "grad_norm": 0.515625, "learning_rate": 5.340492930148444e-07, "loss": 0.8026, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6647 }, { "epoch": 0.9059689288634505, "grad_norm": 0.337890625, "learning_rate": 5.325163231533492e-07, "loss": 0.8049, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6648 }, { "epoch": 0.9061052057781411, "grad_norm": 0.34765625, "learning_rate": 5.309854964376093e-07, "loss": 0.713, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6649 }, { "epoch": 0.9062414826928318, "grad_norm": 0.5546875, "learning_rate": 5.294568132141497e-07, "loss": 0.7263, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6650 }, { "epoch": 0.9063777596075225, "grad_norm": 0.5703125, "learning_rate": 5.279302738290237e-07, "loss": 0.6904, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6651 }, { "epoch": 0.9065140365222132, "grad_norm": 0.271484375, "learning_rate": 5.26405878627787e-07, "loss": 0.6788, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6652 }, { "epoch": 0.9066503134369038, "grad_norm": 0.306640625, "learning_rate": 5.24883627955518e-07, "loss": 0.6988, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6653 }, { "epoch": 0.9067865903515945, "grad_norm": 0.306640625, "learning_rate": 5.233635221568079e-07, "loss": 0.7122, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6654 }, { "epoch": 0.9069228672662851, "grad_norm": 0.291015625, "learning_rate": 5.218455615757601e-07, "loss": 0.6443, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6655 }, { "epoch": 0.9070591441809758, "grad_norm": 0.4296875, "learning_rate": 5.203297465559943e-07, "loss": 0.7721, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6656 }, { "epoch": 0.9071954210956664, "grad_norm": 0.36328125, "learning_rate": 5.188160774406447e-07, "loss": 0.7699, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6657 }, { "epoch": 0.9073316980103571, "grad_norm": 0.2490234375, "learning_rate": 5.173045545723587e-07, "loss": 0.7119, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6658 }, { "epoch": 0.9074679749250477, "grad_norm": 1.5078125, "learning_rate": 5.157951782932991e-07, "loss": 0.7204, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6659 }, { "epoch": 0.9076042518397384, "grad_norm": 0.45703125, "learning_rate": 5.142879489451435e-07, "loss": 0.7568, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6660 }, { "epoch": 0.907740528754429, "grad_norm": 0.291015625, "learning_rate": 5.12782866869076e-07, "loss": 0.7311, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6661 }, { "epoch": 0.9078768056691197, "grad_norm": 0.314453125, "learning_rate": 5.112799324058093e-07, "loss": 0.693, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6662 }, { "epoch": 0.9080130825838103, "grad_norm": 0.546875, "learning_rate": 5.097791458955547e-07, "loss": 0.7498, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6663 }, { "epoch": 0.908149359498501, "grad_norm": 0.48046875, "learning_rate": 5.082805076780462e-07, "loss": 0.7657, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6664 }, { "epoch": 0.9082856364131916, "grad_norm": 0.326171875, "learning_rate": 5.067840180925287e-07, "loss": 0.7281, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6665 }, { "epoch": 0.9084219133278822, "grad_norm": 0.55859375, "learning_rate": 5.052896774777616e-07, "loss": 0.6727, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6666 }, { "epoch": 0.9085581902425729, "grad_norm": 0.328125, "learning_rate": 5.037974861720174e-07, "loss": 0.7486, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6667 }, { "epoch": 0.9086944671572635, "grad_norm": 0.376953125, "learning_rate": 5.023074445130826e-07, "loss": 0.6969, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6668 }, { "epoch": 0.9088307440719542, "grad_norm": 0.283203125, "learning_rate": 5.008195528382554e-07, "loss": 0.6845, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6669 }, { "epoch": 0.9089670209866448, "grad_norm": 0.474609375, "learning_rate": 4.993338114843494e-07, "loss": 0.7349, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6670 }, { "epoch": 0.9091032979013355, "grad_norm": 0.28125, "learning_rate": 4.978502207876923e-07, "loss": 0.6931, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6671 }, { "epoch": 0.9092395748160261, "grad_norm": 0.30859375, "learning_rate": 4.963687810841177e-07, "loss": 0.6886, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6672 }, { "epoch": 0.9093758517307168, "grad_norm": 1.46875, "learning_rate": 4.948894927089843e-07, "loss": 0.8263, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6673 }, { "epoch": 0.9095121286454074, "grad_norm": 0.37890625, "learning_rate": 4.934123559971538e-07, "loss": 0.7197, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6674 }, { "epoch": 0.9096484055600981, "grad_norm": 0.275390625, "learning_rate": 4.919373712830034e-07, "loss": 0.6742, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6675 }, { "epoch": 0.9097846824747887, "grad_norm": 0.77734375, "learning_rate": 4.904645389004259e-07, "loss": 0.7386, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6676 }, { "epoch": 0.9099209593894794, "grad_norm": 0.30859375, "learning_rate": 4.889938591828247e-07, "loss": 0.6742, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6677 }, { "epoch": 0.9100572363041701, "grad_norm": 0.349609375, "learning_rate": 4.875253324631158e-07, "loss": 0.8223, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6678 }, { "epoch": 0.9101935132188608, "grad_norm": 0.26953125, "learning_rate": 4.860589590737296e-07, "loss": 0.6858, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6679 }, { "epoch": 0.9103297901335514, "grad_norm": 0.3203125, "learning_rate": 4.845947393466055e-07, "loss": 0.7432, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6680 }, { "epoch": 0.9104660670482421, "grad_norm": 0.66796875, "learning_rate": 4.831326736131991e-07, "loss": 0.8607, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6681 }, { "epoch": 0.9106023439629327, "grad_norm": 0.400390625, "learning_rate": 4.816727622044782e-07, "loss": 0.7091, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6682 }, { "epoch": 0.9107386208776234, "grad_norm": 0.291015625, "learning_rate": 4.802150054509169e-07, "loss": 0.6675, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6683 }, { "epoch": 0.910874897792314, "grad_norm": 0.451171875, "learning_rate": 4.787594036825116e-07, "loss": 0.7374, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6684 }, { "epoch": 0.9110111747070047, "grad_norm": 0.251953125, "learning_rate": 4.77305957228763e-07, "loss": 0.7084, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6685 }, { "epoch": 0.9111474516216953, "grad_norm": 0.2890625, "learning_rate": 4.7585466641868696e-07, "loss": 0.6449, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6686 }, { "epoch": 0.911283728536386, "grad_norm": 0.2890625, "learning_rate": 4.744055315808105e-07, "loss": 0.756, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6687 }, { "epoch": 0.9114200054510766, "grad_norm": 0.431640625, "learning_rate": 4.729585530431735e-07, "loss": 0.7102, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6688 }, { "epoch": 0.9115562823657672, "grad_norm": 0.33984375, "learning_rate": 4.715137311333262e-07, "loss": 0.7489, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6689 }, { "epoch": 0.9116925592804579, "grad_norm": 0.279296875, "learning_rate": 4.7007106617833366e-07, "loss": 0.6817, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6690 }, { "epoch": 0.9118288361951485, "grad_norm": 2.875, "learning_rate": 4.686305585047668e-07, "loss": 0.7869, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6691 }, { "epoch": 0.9119651131098392, "grad_norm": 0.27734375, "learning_rate": 4.671922084387182e-07, "loss": 0.7536, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6692 }, { "epoch": 0.9121013900245298, "grad_norm": 0.216796875, "learning_rate": 4.657560163057806e-07, "loss": 0.7123, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6693 }, { "epoch": 0.9122376669392205, "grad_norm": 0.28515625, "learning_rate": 4.643219824310641e-07, "loss": 0.691, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6694 }, { "epoch": 0.9123739438539111, "grad_norm": 0.470703125, "learning_rate": 4.628901071391911e-07, "loss": 0.8017, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6695 }, { "epoch": 0.9125102207686018, "grad_norm": 0.33984375, "learning_rate": 4.6146039075429474e-07, "loss": 0.7714, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6696 }, { "epoch": 0.9126464976832924, "grad_norm": 0.373046875, "learning_rate": 4.6003283360001594e-07, "loss": 0.7854, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6697 }, { "epoch": 0.9127827745979831, "grad_norm": 0.287109375, "learning_rate": 4.5860743599951186e-07, "loss": 0.7163, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6698 }, { "epoch": 0.9129190515126737, "grad_norm": 0.359375, "learning_rate": 4.571841982754477e-07, "loss": 0.7326, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6699 }, { "epoch": 0.9130553284273644, "grad_norm": 0.376953125, "learning_rate": 4.557631207500002e-07, "loss": 0.6703, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6700 }, { "epoch": 0.913191605342055, "grad_norm": 0.328125, "learning_rate": 4.543442037448587e-07, "loss": 0.6905, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6701 }, { "epoch": 0.9133278822567457, "grad_norm": 0.2373046875, "learning_rate": 4.529274475812184e-07, "loss": 0.6959, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6702 }, { "epoch": 0.9134641591714363, "grad_norm": 0.33984375, "learning_rate": 4.5151285257979407e-07, "loss": 0.7704, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6703 }, { "epoch": 0.913600436086127, "grad_norm": 0.3203125, "learning_rate": 4.501004190608038e-07, "loss": 0.7272, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6704 }, { "epoch": 0.9137367130008177, "grad_norm": 0.484375, "learning_rate": 4.4869014734397863e-07, "loss": 0.7395, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6705 }, { "epoch": 0.9138729899155084, "grad_norm": 0.35546875, "learning_rate": 4.472820377485609e-07, "loss": 0.7041, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6706 }, { "epoch": 0.914009266830199, "grad_norm": 0.380859375, "learning_rate": 4.458760905933035e-07, "loss": 0.6328, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6707 }, { "epoch": 0.9141455437448897, "grad_norm": 0.388671875, "learning_rate": 4.444723061964695e-07, "loss": 0.668, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6708 }, { "epoch": 0.9142818206595803, "grad_norm": 0.396484375, "learning_rate": 4.430706848758315e-07, "loss": 0.6394, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6709 }, { "epoch": 0.914418097574271, "grad_norm": 0.349609375, "learning_rate": 4.4167122694867336e-07, "loss": 0.7399, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6710 }, { "epoch": 0.9145543744889616, "grad_norm": 0.31640625, "learning_rate": 4.4027393273178954e-07, "loss": 0.7111, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6711 }, { "epoch": 0.9146906514036522, "grad_norm": 0.4609375, "learning_rate": 4.3887880254148584e-07, "loss": 0.7511, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6712 }, { "epoch": 0.9148269283183429, "grad_norm": 0.3203125, "learning_rate": 4.3748583669357193e-07, "loss": 0.682, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6713 }, { "epoch": 0.9149632052330335, "grad_norm": 0.271484375, "learning_rate": 4.3609503550337885e-07, "loss": 0.6326, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6714 }, { "epoch": 0.9150994821477242, "grad_norm": 0.34765625, "learning_rate": 4.347063992857348e-07, "loss": 0.7276, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6715 }, { "epoch": 0.9152357590624148, "grad_norm": 0.294921875, "learning_rate": 4.3331992835498714e-07, "loss": 0.822, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6716 }, { "epoch": 0.9153720359771055, "grad_norm": 0.287109375, "learning_rate": 4.319356230249905e-07, "loss": 0.6912, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6717 }, { "epoch": 0.9155083128917961, "grad_norm": 0.271484375, "learning_rate": 4.305534836091074e-07, "loss": 0.6996, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6718 }, { "epoch": 0.9156445898064868, "grad_norm": 0.29296875, "learning_rate": 4.2917351042021214e-07, "loss": 0.7537, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6719 }, { "epoch": 0.9157808667211774, "grad_norm": 0.34375, "learning_rate": 4.2779570377068816e-07, "loss": 0.7402, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6720 }, { "epoch": 0.9159171436358681, "grad_norm": 0.337890625, "learning_rate": 4.2642006397242807e-07, "loss": 0.7242, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6721 }, { "epoch": 0.9160534205505587, "grad_norm": 0.470703125, "learning_rate": 4.25046591336834e-07, "loss": 0.726, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6722 }, { "epoch": 0.9161896974652494, "grad_norm": 0.408203125, "learning_rate": 4.2367528617481833e-07, "loss": 0.7194, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6723 }, { "epoch": 0.91632597437994, "grad_norm": 0.361328125, "learning_rate": 4.2230614879680054e-07, "loss": 0.7488, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6724 }, { "epoch": 0.9164622512946307, "grad_norm": 0.27734375, "learning_rate": 4.209391795127149e-07, "loss": 0.7006, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6725 }, { "epoch": 0.9165985282093213, "grad_norm": 0.46484375, "learning_rate": 4.1957437863199504e-07, "loss": 0.6795, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6726 }, { "epoch": 0.916734805124012, "grad_norm": 0.287109375, "learning_rate": 4.1821174646359597e-07, "loss": 0.7492, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6727 }, { "epoch": 0.9168710820387026, "grad_norm": 0.361328125, "learning_rate": 4.16851283315971e-07, "loss": 0.7201, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6728 }, { "epoch": 0.9170073589533932, "grad_norm": 0.40625, "learning_rate": 4.154929894970894e-07, "loss": 0.761, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6729 }, { "epoch": 0.9171436358680839, "grad_norm": 0.29296875, "learning_rate": 4.1413686531442507e-07, "loss": 0.6745, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6730 }, { "epoch": 0.9172799127827747, "grad_norm": 0.2353515625, "learning_rate": 4.1278291107496484e-07, "loss": 0.6561, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6731 }, { "epoch": 0.9174161896974653, "grad_norm": 1.375, "learning_rate": 4.1143112708520006e-07, "loss": 0.8158, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6732 }, { "epoch": 0.917552466612156, "grad_norm": 0.34375, "learning_rate": 4.100815136511338e-07, "loss": 0.7455, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6733 }, { "epoch": 0.9176887435268466, "grad_norm": 0.3515625, "learning_rate": 4.087340710782783e-07, "loss": 0.7196, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6734 }, { "epoch": 0.9178250204415372, "grad_norm": 0.431640625, "learning_rate": 4.0738879967164856e-07, "loss": 0.6812, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6735 }, { "epoch": 0.9179612973562279, "grad_norm": 0.26953125, "learning_rate": 4.060456997357776e-07, "loss": 0.8065, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6736 }, { "epoch": 0.9180975742709185, "grad_norm": 0.28515625, "learning_rate": 4.0470477157469657e-07, "loss": 0.6597, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6737 }, { "epoch": 0.9182338511856092, "grad_norm": 0.279296875, "learning_rate": 4.033660154919561e-07, "loss": 0.7529, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6738 }, { "epoch": 0.9183701281002998, "grad_norm": 0.296875, "learning_rate": 4.0202943179060484e-07, "loss": 0.7212, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6739 }, { "epoch": 0.9185064050149905, "grad_norm": 0.28125, "learning_rate": 4.006950207732041e-07, "loss": 0.7126, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6740 }, { "epoch": 0.9186426819296811, "grad_norm": 0.287109375, "learning_rate": 3.993627827418256e-07, "loss": 0.7122, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6741 }, { "epoch": 0.9187789588443718, "grad_norm": 0.32421875, "learning_rate": 3.98032717998047e-07, "loss": 0.6575, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6742 }, { "epoch": 0.9189152357590624, "grad_norm": 0.28515625, "learning_rate": 3.9670482684294965e-07, "loss": 0.6939, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6743 }, { "epoch": 0.9190515126737531, "grad_norm": 0.30078125, "learning_rate": 3.953791095771331e-07, "loss": 0.6908, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6744 }, { "epoch": 0.9191877895884437, "grad_norm": 0.65625, "learning_rate": 3.9405556650069397e-07, "loss": 0.7434, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6745 }, { "epoch": 0.9193240665031344, "grad_norm": 0.2734375, "learning_rate": 3.9273419791324263e-07, "loss": 0.7076, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6746 }, { "epoch": 0.919460343417825, "grad_norm": 0.3125, "learning_rate": 3.9141500411389864e-07, "loss": 0.6852, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6747 }, { "epoch": 0.9195966203325157, "grad_norm": 0.330078125, "learning_rate": 3.900979854012821e-07, "loss": 0.7266, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6748 }, { "epoch": 0.9197328972472063, "grad_norm": 0.267578125, "learning_rate": 3.8878314207353107e-07, "loss": 0.6816, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6749 }, { "epoch": 0.919869174161897, "grad_norm": 0.369140625, "learning_rate": 3.874704744282809e-07, "loss": 0.7169, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6750 }, { "epoch": 0.9200054510765876, "grad_norm": 0.54296875, "learning_rate": 3.8615998276268054e-07, "loss": 0.7256, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6751 }, { "epoch": 0.9201417279912782, "grad_norm": 0.29296875, "learning_rate": 3.8485166737338374e-07, "loss": 0.7663, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6752 }, { "epoch": 0.9202780049059689, "grad_norm": 0.279296875, "learning_rate": 3.835455285565559e-07, "loss": 0.6683, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6753 }, { "epoch": 0.9204142818206595, "grad_norm": 0.3046875, "learning_rate": 3.822415666078627e-07, "loss": 0.6796, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6754 }, { "epoch": 0.9205505587353502, "grad_norm": 0.4453125, "learning_rate": 3.8093978182248357e-07, "loss": 0.7306, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6755 }, { "epoch": 0.9206868356500408, "grad_norm": 0.283203125, "learning_rate": 3.7964017449509947e-07, "loss": 0.6698, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6756 }, { "epoch": 0.9208231125647315, "grad_norm": 0.26171875, "learning_rate": 3.783427449199051e-07, "loss": 0.7079, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6757 }, { "epoch": 0.9209593894794222, "grad_norm": 0.271484375, "learning_rate": 3.7704749339059544e-07, "loss": 0.7362, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6758 }, { "epoch": 0.9210956663941129, "grad_norm": 0.287109375, "learning_rate": 3.75754420200376e-07, "loss": 0.6839, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6759 }, { "epoch": 0.9212319433088035, "grad_norm": 0.287109375, "learning_rate": 3.744635256419593e-07, "loss": 0.6338, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6760 }, { "epoch": 0.9213682202234942, "grad_norm": 0.26953125, "learning_rate": 3.731748100075627e-07, "loss": 0.6541, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6761 }, { "epoch": 0.9215044971381848, "grad_norm": 0.275390625, "learning_rate": 3.71888273588914e-07, "loss": 0.6762, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6762 }, { "epoch": 0.9216407740528755, "grad_norm": 0.2490234375, "learning_rate": 3.706039166772435e-07, "loss": 0.6659, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6763 }, { "epoch": 0.9217770509675661, "grad_norm": 0.408203125, "learning_rate": 3.6932173956329087e-07, "loss": 0.7805, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6764 }, { "epoch": 0.9219133278822568, "grad_norm": 0.31640625, "learning_rate": 3.680417425372984e-07, "loss": 0.6999, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6765 }, { "epoch": 0.9220496047969474, "grad_norm": 0.322265625, "learning_rate": 3.667639258890232e-07, "loss": 0.7618, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6766 }, { "epoch": 0.9221858817116381, "grad_norm": 0.322265625, "learning_rate": 3.654882899077172e-07, "loss": 0.7219, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6767 }, { "epoch": 0.9223221586263287, "grad_norm": 0.25, "learning_rate": 3.642148348821517e-07, "loss": 0.7334, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6768 }, { "epoch": 0.9224584355410194, "grad_norm": 0.30078125, "learning_rate": 3.629435611005916e-07, "loss": 0.6183, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6769 }, { "epoch": 0.92259471245571, "grad_norm": 0.361328125, "learning_rate": 3.616744688508178e-07, "loss": 0.8074, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6770 }, { "epoch": 0.9227309893704007, "grad_norm": 0.55859375, "learning_rate": 3.604075584201117e-07, "loss": 0.7304, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6771 }, { "epoch": 0.9228672662850913, "grad_norm": 0.271484375, "learning_rate": 3.5914283009526375e-07, "loss": 0.6301, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6772 }, { "epoch": 0.923003543199782, "grad_norm": 0.302734375, "learning_rate": 3.578802841625684e-07, "loss": 0.7159, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6773 }, { "epoch": 0.9231398201144726, "grad_norm": 0.55078125, "learning_rate": 3.5661992090782805e-07, "loss": 0.7275, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6774 }, { "epoch": 0.9232760970291632, "grad_norm": 0.3203125, "learning_rate": 3.5536174061634896e-07, "loss": 0.8335, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6775 }, { "epoch": 0.9234123739438539, "grad_norm": 0.298828125, "learning_rate": 3.5410574357294447e-07, "loss": 0.6878, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6776 }, { "epoch": 0.9235486508585445, "grad_norm": 0.349609375, "learning_rate": 3.5285193006193595e-07, "loss": 0.6936, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6777 }, { "epoch": 0.9236849277732352, "grad_norm": 0.279296875, "learning_rate": 3.516003003671431e-07, "loss": 0.7046, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6778 }, { "epoch": 0.9238212046879258, "grad_norm": 0.294921875, "learning_rate": 3.5035085477190143e-07, "loss": 0.6513, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6779 }, { "epoch": 0.9239574816026165, "grad_norm": 0.3828125, "learning_rate": 3.4910359355904257e-07, "loss": 0.7258, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6780 }, { "epoch": 0.9240937585173071, "grad_norm": 0.345703125, "learning_rate": 3.4785851701091054e-07, "loss": 0.7564, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6781 }, { "epoch": 0.9242300354319978, "grad_norm": 0.416015625, "learning_rate": 3.4661562540935115e-07, "loss": 0.6789, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6782 }, { "epoch": 0.9243663123466884, "grad_norm": 0.703125, "learning_rate": 3.45374919035717e-07, "loss": 0.7645, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6783 }, { "epoch": 0.9245025892613791, "grad_norm": 0.283203125, "learning_rate": 3.441363981708656e-07, "loss": 0.7362, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6784 }, { "epoch": 0.9246388661760698, "grad_norm": 0.333984375, "learning_rate": 3.4290006309515954e-07, "loss": 0.702, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6785 }, { "epoch": 0.9247751430907605, "grad_norm": 0.28125, "learning_rate": 3.4166591408846705e-07, "loss": 0.7212, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6786 }, { "epoch": 0.9249114200054511, "grad_norm": 0.353515625, "learning_rate": 3.404339514301613e-07, "loss": 0.7097, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6787 }, { "epoch": 0.9250476969201418, "grad_norm": 0.3203125, "learning_rate": 3.3920417539912264e-07, "loss": 0.6398, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6788 }, { "epoch": 0.9251839738348324, "grad_norm": 0.474609375, "learning_rate": 3.379765862737294e-07, "loss": 0.728, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6789 }, { "epoch": 0.9253202507495231, "grad_norm": 0.2734375, "learning_rate": 3.367511843318749e-07, "loss": 0.7075, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6790 }, { "epoch": 0.9254565276642137, "grad_norm": 0.328125, "learning_rate": 3.355279698509495e-07, "loss": 0.7734, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6791 }, { "epoch": 0.9255928045789044, "grad_norm": 0.287109375, "learning_rate": 3.343069431078516e-07, "loss": 0.7447, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6792 }, { "epoch": 0.925729081493595, "grad_norm": 0.298828125, "learning_rate": 3.3308810437898354e-07, "loss": 0.7223, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6793 }, { "epoch": 0.9258653584082857, "grad_norm": 0.3359375, "learning_rate": 3.3187145394025453e-07, "loss": 0.7103, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6794 }, { "epoch": 0.9260016353229763, "grad_norm": 0.30078125, "learning_rate": 3.3065699206707433e-07, "loss": 0.6685, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6795 }, { "epoch": 0.926137912237667, "grad_norm": 0.318359375, "learning_rate": 3.2944471903436194e-07, "loss": 0.7336, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6796 }, { "epoch": 0.9262741891523576, "grad_norm": 0.298828125, "learning_rate": 3.2823463511653553e-07, "loss": 0.6561, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6797 }, { "epoch": 0.9264104660670482, "grad_norm": 0.390625, "learning_rate": 3.2702674058752383e-07, "loss": 0.7787, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6798 }, { "epoch": 0.9265467429817389, "grad_norm": 0.2333984375, "learning_rate": 3.2582103572075694e-07, "loss": 0.6733, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6799 }, { "epoch": 0.9266830198964295, "grad_norm": 0.357421875, "learning_rate": 3.246175207891644e-07, "loss": 0.6826, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6800 }, { "epoch": 0.9268192968111202, "grad_norm": 0.279296875, "learning_rate": 3.234161960651905e-07, "loss": 0.7143, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6801 }, { "epoch": 0.9269555737258108, "grad_norm": 0.326171875, "learning_rate": 3.2221706182077536e-07, "loss": 0.7377, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6802 }, { "epoch": 0.9270918506405015, "grad_norm": 0.412109375, "learning_rate": 3.2102011832736537e-07, "loss": 0.6983, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6803 }, { "epoch": 0.9272281275551921, "grad_norm": 0.267578125, "learning_rate": 3.198253658559125e-07, "loss": 0.6608, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6804 }, { "epoch": 0.9273644044698828, "grad_norm": 0.283203125, "learning_rate": 3.1863280467687276e-07, "loss": 0.7634, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6805 }, { "epoch": 0.9275006813845734, "grad_norm": 0.298828125, "learning_rate": 3.1744243506020346e-07, "loss": 0.7152, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6806 }, { "epoch": 0.9276369582992641, "grad_norm": 0.26953125, "learning_rate": 3.1625425727536795e-07, "loss": 0.7118, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6807 }, { "epoch": 0.9277732352139547, "grad_norm": 0.296875, "learning_rate": 3.1506827159133223e-07, "loss": 0.6609, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6808 }, { "epoch": 0.9279095121286454, "grad_norm": 0.341796875, "learning_rate": 3.1388447827656933e-07, "loss": 0.6537, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6809 }, { "epoch": 0.928045789043336, "grad_norm": 0.310546875, "learning_rate": 3.127028775990515e-07, "loss": 0.6358, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6810 }, { "epoch": 0.9281820659580267, "grad_norm": 0.333984375, "learning_rate": 3.1152346982625593e-07, "loss": 0.6948, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6811 }, { "epoch": 0.9283183428727174, "grad_norm": 0.306640625, "learning_rate": 3.103462552251668e-07, "loss": 0.6999, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6812 }, { "epoch": 0.9284546197874081, "grad_norm": 0.26171875, "learning_rate": 3.0917123406226654e-07, "loss": 0.6682, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6813 }, { "epoch": 0.9285908967020987, "grad_norm": 0.26953125, "learning_rate": 3.079984066035435e-07, "loss": 0.6962, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6814 }, { "epoch": 0.9287271736167894, "grad_norm": 0.296875, "learning_rate": 3.06827773114492e-07, "loss": 0.7699, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6815 }, { "epoch": 0.92886345053148, "grad_norm": 0.279296875, "learning_rate": 3.056593338601055e-07, "loss": 0.6929, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6816 }, { "epoch": 0.9289997274461707, "grad_norm": 0.283203125, "learning_rate": 3.044930891048825e-07, "loss": 0.6689, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6817 }, { "epoch": 0.9291360043608613, "grad_norm": 0.33203125, "learning_rate": 3.033290391128274e-07, "loss": 0.7, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6818 }, { "epoch": 0.929272281275552, "grad_norm": 0.32421875, "learning_rate": 3.021671841474394e-07, "loss": 0.6392, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6819 }, { "epoch": 0.9294085581902426, "grad_norm": 0.66796875, "learning_rate": 3.0100752447173365e-07, "loss": 0.7573, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6820 }, { "epoch": 0.9295448351049332, "grad_norm": 0.275390625, "learning_rate": 2.9985006034821576e-07, "loss": 0.7001, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6821 }, { "epoch": 0.9296811120196239, "grad_norm": 0.26171875, "learning_rate": 2.9869479203890274e-07, "loss": 0.7416, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6822 }, { "epoch": 0.9298173889343145, "grad_norm": 0.353515625, "learning_rate": 2.975417198053099e-07, "loss": 0.71, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6823 }, { "epoch": 0.9299536658490052, "grad_norm": 0.294921875, "learning_rate": 2.963908439084584e-07, "loss": 0.6951, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6824 }, { "epoch": 0.9300899427636958, "grad_norm": 0.4765625, "learning_rate": 2.952421646088699e-07, "loss": 0.73, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6825 }, { "epoch": 0.9302262196783865, "grad_norm": 0.333984375, "learning_rate": 2.940956821665708e-07, "loss": 0.7768, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6826 }, { "epoch": 0.9303624965930771, "grad_norm": 0.3125, "learning_rate": 2.929513968410902e-07, "loss": 0.7159, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6827 }, { "epoch": 0.9304987735077678, "grad_norm": 0.453125, "learning_rate": 2.9180930889145643e-07, "loss": 0.7907, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6828 }, { "epoch": 0.9306350504224584, "grad_norm": 0.41015625, "learning_rate": 2.90669418576206e-07, "loss": 0.7033, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6829 }, { "epoch": 0.9307713273371491, "grad_norm": 0.30078125, "learning_rate": 2.8953172615337034e-07, "loss": 0.7072, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6830 }, { "epoch": 0.9309076042518397, "grad_norm": 0.4921875, "learning_rate": 2.883962318804934e-07, "loss": 0.7139, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6831 }, { "epoch": 0.9310438811665304, "grad_norm": 0.341796875, "learning_rate": 2.8726293601461286e-07, "loss": 0.6663, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6832 }, { "epoch": 0.931180158081221, "grad_norm": 0.26171875, "learning_rate": 2.861318388122714e-07, "loss": 0.7115, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6833 }, { "epoch": 0.9313164349959117, "grad_norm": 0.328125, "learning_rate": 2.850029405295152e-07, "loss": 0.7127, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6834 }, { "epoch": 0.9314527119106023, "grad_norm": 0.326171875, "learning_rate": 2.838762414218932e-07, "loss": 0.6264, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6835 }, { "epoch": 0.931588988825293, "grad_norm": 0.296875, "learning_rate": 2.827517417444525e-07, "loss": 0.7643, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6836 }, { "epoch": 0.9317252657399836, "grad_norm": 0.2890625, "learning_rate": 2.8162944175174846e-07, "loss": 0.6426, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6837 }, { "epoch": 0.9318615426546742, "grad_norm": 0.38671875, "learning_rate": 2.805093416978322e-07, "loss": 0.716, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6838 }, { "epoch": 0.931997819569365, "grad_norm": 0.28515625, "learning_rate": 2.7939144183626197e-07, "loss": 0.7142, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6839 }, { "epoch": 0.9321340964840557, "grad_norm": 0.30859375, "learning_rate": 2.7827574242009434e-07, "loss": 0.6548, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6840 }, { "epoch": 0.9322703733987463, "grad_norm": 0.423828125, "learning_rate": 2.7716224370188836e-07, "loss": 0.7383, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6841 }, { "epoch": 0.932406650313437, "grad_norm": 0.3359375, "learning_rate": 2.7605094593370906e-07, "loss": 0.7858, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6842 }, { "epoch": 0.9325429272281276, "grad_norm": 0.298828125, "learning_rate": 2.7494184936711634e-07, "loss": 0.7192, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6843 }, { "epoch": 0.9326792041428182, "grad_norm": 0.466796875, "learning_rate": 2.738349542531782e-07, "loss": 0.8018, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6844 }, { "epoch": 0.9328154810575089, "grad_norm": 0.294921875, "learning_rate": 2.727302608424587e-07, "loss": 0.6735, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6845 }, { "epoch": 0.9329517579721995, "grad_norm": 0.3359375, "learning_rate": 2.716277693850289e-07, "loss": 0.7047, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6846 }, { "epoch": 0.9330880348868902, "grad_norm": 0.291015625, "learning_rate": 2.7052748013045694e-07, "loss": 0.6623, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6847 }, { "epoch": 0.9332243118015808, "grad_norm": 0.34765625, "learning_rate": 2.694293933278147e-07, "loss": 0.7748, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6848 }, { "epoch": 0.9333605887162715, "grad_norm": 0.267578125, "learning_rate": 2.683335092256767e-07, "loss": 0.7046, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6849 }, { "epoch": 0.9334968656309621, "grad_norm": 0.26171875, "learning_rate": 2.6723982807211444e-07, "loss": 0.7272, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6850 }, { "epoch": 0.9336331425456528, "grad_norm": 0.2578125, "learning_rate": 2.661483501147066e-07, "loss": 0.7263, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6851 }, { "epoch": 0.9337694194603434, "grad_norm": 0.248046875, "learning_rate": 2.6505907560052666e-07, "loss": 0.6557, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6852 }, { "epoch": 0.9339056963750341, "grad_norm": 0.28515625, "learning_rate": 2.639720047761574e-07, "loss": 0.7609, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6853 }, { "epoch": 0.9340419732897247, "grad_norm": 0.2734375, "learning_rate": 2.628871378876718e-07, "loss": 0.7317, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6854 }, { "epoch": 0.9341782502044154, "grad_norm": 0.427734375, "learning_rate": 2.61804475180657e-07, "loss": 0.7861, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6855 }, { "epoch": 0.934314527119106, "grad_norm": 0.3046875, "learning_rate": 2.60724016900189e-07, "loss": 0.7649, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6856 }, { "epoch": 0.9344508040337967, "grad_norm": 0.33203125, "learning_rate": 2.596457632908522e-07, "loss": 0.7031, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6857 }, { "epoch": 0.9345870809484873, "grad_norm": 0.3359375, "learning_rate": 2.585697145967303e-07, "loss": 0.7101, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6858 }, { "epoch": 0.934723357863178, "grad_norm": 0.283203125, "learning_rate": 2.5749587106140616e-07, "loss": 0.6628, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6859 }, { "epoch": 0.9348596347778686, "grad_norm": 0.396484375, "learning_rate": 2.564242329279665e-07, "loss": 0.7692, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6860 }, { "epoch": 0.9349959116925592, "grad_norm": 0.33203125, "learning_rate": 2.5535480043899607e-07, "loss": 0.7394, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6861 }, { "epoch": 0.9351321886072499, "grad_norm": 0.359375, "learning_rate": 2.5428757383658243e-07, "loss": 0.8072, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6862 }, { "epoch": 0.9352684655219405, "grad_norm": 0.46484375, "learning_rate": 2.5322255336231007e-07, "loss": 0.7865, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6863 }, { "epoch": 0.9354047424366312, "grad_norm": 0.35546875, "learning_rate": 2.5215973925727054e-07, "loss": 0.685, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6864 }, { "epoch": 0.9355410193513218, "grad_norm": 0.33203125, "learning_rate": 2.5109913176204705e-07, "loss": 0.6818, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6865 }, { "epoch": 0.9356772962660126, "grad_norm": 0.392578125, "learning_rate": 2.500407311167341e-07, "loss": 0.6883, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6866 }, { "epoch": 0.9358135731807032, "grad_norm": 0.357421875, "learning_rate": 2.489845375609168e-07, "loss": 0.7095, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6867 }, { "epoch": 0.9359498500953939, "grad_norm": 0.29296875, "learning_rate": 2.4793055133368716e-07, "loss": 0.6715, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6868 }, { "epoch": 0.9360861270100845, "grad_norm": 0.36328125, "learning_rate": 2.4687877267363216e-07, "loss": 0.7357, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6869 }, { "epoch": 0.9362224039247752, "grad_norm": 0.212890625, "learning_rate": 2.4582920181884574e-07, "loss": 0.6449, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6870 }, { "epoch": 0.9363586808394658, "grad_norm": 0.330078125, "learning_rate": 2.4478183900691454e-07, "loss": 0.744, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6871 }, { "epoch": 0.9364949577541565, "grad_norm": 0.28515625, "learning_rate": 2.4373668447493225e-07, "loss": 0.7062, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6872 }, { "epoch": 0.9366312346688471, "grad_norm": 0.34375, "learning_rate": 2.426937384594874e-07, "loss": 0.7812, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6873 }, { "epoch": 0.9367675115835378, "grad_norm": 0.57421875, "learning_rate": 2.4165300119667335e-07, "loss": 0.7957, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6874 }, { "epoch": 0.9369037884982284, "grad_norm": 0.24609375, "learning_rate": 2.4061447292207716e-07, "loss": 0.6887, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6875 }, { "epoch": 0.9370400654129191, "grad_norm": 0.265625, "learning_rate": 2.3957815387079085e-07, "loss": 0.6596, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6876 }, { "epoch": 0.9371763423276097, "grad_norm": 0.97265625, "learning_rate": 2.3854404427740787e-07, "loss": 0.7443, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6877 }, { "epoch": 0.9373126192423004, "grad_norm": 0.28125, "learning_rate": 2.3751214437601644e-07, "loss": 0.7028, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6878 }, { "epoch": 0.937448896156991, "grad_norm": 0.3046875, "learning_rate": 2.3648245440020535e-07, "loss": 0.7064, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6879 }, { "epoch": 0.9375851730716817, "grad_norm": 0.287109375, "learning_rate": 2.3545497458306699e-07, "loss": 0.69, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6880 }, { "epoch": 0.9377214499863723, "grad_norm": 0.6328125, "learning_rate": 2.3442970515719087e-07, "loss": 0.8181, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6881 }, { "epoch": 0.937857726901063, "grad_norm": 0.3046875, "learning_rate": 2.3340664635466358e-07, "loss": 0.6447, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6882 }, { "epoch": 0.9379940038157536, "grad_norm": 0.3125, "learning_rate": 2.3238579840707764e-07, "loss": 0.7069, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6883 }, { "epoch": 0.9381302807304442, "grad_norm": 0.380859375, "learning_rate": 2.313671615455182e-07, "loss": 0.7482, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6884 }, { "epoch": 0.9382665576451349, "grad_norm": 0.26953125, "learning_rate": 2.3035073600057746e-07, "loss": 0.6648, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6885 }, { "epoch": 0.9384028345598255, "grad_norm": 0.375, "learning_rate": 2.2933652200233802e-07, "loss": 0.739, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6886 }, { "epoch": 0.9385391114745162, "grad_norm": 0.32421875, "learning_rate": 2.2832451978038962e-07, "loss": 0.707, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6887 }, { "epoch": 0.9386753883892068, "grad_norm": 0.33984375, "learning_rate": 2.2731472956381784e-07, "loss": 0.6903, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6888 }, { "epoch": 0.9388116653038975, "grad_norm": 0.271484375, "learning_rate": 2.2630715158120654e-07, "loss": 0.6855, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6889 }, { "epoch": 0.9389479422185881, "grad_norm": 0.376953125, "learning_rate": 2.2530178606064103e-07, "loss": 0.8198, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6890 }, { "epoch": 0.9390842191332788, "grad_norm": 0.357421875, "learning_rate": 2.2429863322970592e-07, "loss": 0.709, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6891 }, { "epoch": 0.9392204960479694, "grad_norm": 0.310546875, "learning_rate": 2.232976933154829e-07, "loss": 0.6785, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6892 }, { "epoch": 0.9393567729626602, "grad_norm": 0.396484375, "learning_rate": 2.2229896654455407e-07, "loss": 0.7586, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6893 }, { "epoch": 0.9394930498773508, "grad_norm": 0.28125, "learning_rate": 2.213024531430019e-07, "loss": 0.7418, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6894 }, { "epoch": 0.9396293267920415, "grad_norm": 0.302734375, "learning_rate": 2.2030815333640264e-07, "loss": 0.7071, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6895 }, { "epoch": 0.9397656037067321, "grad_norm": 0.267578125, "learning_rate": 2.1931606734983846e-07, "loss": 0.6922, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6896 }, { "epoch": 0.9399018806214228, "grad_norm": 0.27734375, "learning_rate": 2.1832619540788523e-07, "loss": 0.675, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6897 }, { "epoch": 0.9400381575361134, "grad_norm": 0.40234375, "learning_rate": 2.1733853773462042e-07, "loss": 0.7433, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6898 }, { "epoch": 0.9401744344508041, "grad_norm": 0.361328125, "learning_rate": 2.1635309455361743e-07, "loss": 0.7033, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6899 }, { "epoch": 0.9403107113654947, "grad_norm": 0.3359375, "learning_rate": 2.153698660879522e-07, "loss": 0.7203, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6900 }, { "epoch": 0.9404469882801854, "grad_norm": 0.26953125, "learning_rate": 2.143888525601967e-07, "loss": 0.7179, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6901 }, { "epoch": 0.940583265194876, "grad_norm": 0.265625, "learning_rate": 2.1341005419242112e-07, "loss": 0.6805, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6902 }, { "epoch": 0.9407195421095667, "grad_norm": 0.2470703125, "learning_rate": 2.1243347120619595e-07, "loss": 0.6535, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6903 }, { "epoch": 0.9408558190242573, "grad_norm": 0.255859375, "learning_rate": 2.1145910382258884e-07, "loss": 0.7313, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6904 }, { "epoch": 0.940992095938948, "grad_norm": 0.373046875, "learning_rate": 2.1048695226216886e-07, "loss": 0.7427, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6905 }, { "epoch": 0.9411283728536386, "grad_norm": 0.2734375, "learning_rate": 2.095170167449967e-07, "loss": 0.6819, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6906 }, { "epoch": 0.9412646497683292, "grad_norm": 0.357421875, "learning_rate": 2.0854929749064e-07, "loss": 0.7144, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6907 }, { "epoch": 0.9414009266830199, "grad_norm": 0.310546875, "learning_rate": 2.0758379471815803e-07, "loss": 0.7245, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6908 }, { "epoch": 0.9415372035977105, "grad_norm": 0.310546875, "learning_rate": 2.066205086461115e-07, "loss": 0.7143, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6909 }, { "epoch": 0.9416734805124012, "grad_norm": 0.265625, "learning_rate": 2.056594394925582e-07, "loss": 0.6578, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6910 }, { "epoch": 0.9418097574270918, "grad_norm": 0.4296875, "learning_rate": 2.0470058747505516e-07, "loss": 0.6503, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6911 }, { "epoch": 0.9419460343417825, "grad_norm": 0.29296875, "learning_rate": 2.0374395281065663e-07, "loss": 0.7677, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6912 }, { "epoch": 0.9420823112564731, "grad_norm": 0.29296875, "learning_rate": 2.0278953571591485e-07, "loss": 0.6944, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6913 }, { "epoch": 0.9422185881711638, "grad_norm": 0.318359375, "learning_rate": 2.018373364068804e-07, "loss": 0.7513, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6914 }, { "epoch": 0.9423548650858544, "grad_norm": 0.400390625, "learning_rate": 2.0088735509910196e-07, "loss": 0.7542, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6915 }, { "epoch": 0.9424911420005451, "grad_norm": 0.7265625, "learning_rate": 1.9993959200762746e-07, "loss": 0.6702, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6916 }, { "epoch": 0.9426274189152357, "grad_norm": 0.30078125, "learning_rate": 1.9899404734699756e-07, "loss": 0.777, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6917 }, { "epoch": 0.9427636958299264, "grad_norm": 0.326171875, "learning_rate": 1.980507213312577e-07, "loss": 0.6811, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6918 }, { "epoch": 0.942899972744617, "grad_norm": 0.259765625, "learning_rate": 1.9710961417394592e-07, "loss": 0.6742, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6919 }, { "epoch": 0.9430362496593078, "grad_norm": 0.302734375, "learning_rate": 1.9617072608810072e-07, "loss": 0.657, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6920 }, { "epoch": 0.9431725265739984, "grad_norm": 0.283203125, "learning_rate": 1.9523405728625654e-07, "loss": 0.6825, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6921 }, { "epoch": 0.9433088034886891, "grad_norm": 0.384765625, "learning_rate": 1.942996079804471e-07, "loss": 0.6984, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6922 }, { "epoch": 0.9434450804033797, "grad_norm": 0.46484375, "learning_rate": 1.933673783822021e-07, "loss": 0.694, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6923 }, { "epoch": 0.9435813573180704, "grad_norm": 0.30078125, "learning_rate": 1.9243736870255046e-07, "loss": 0.8123, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6924 }, { "epoch": 0.943717634232761, "grad_norm": 0.283203125, "learning_rate": 1.9150957915201606e-07, "loss": 0.6622, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6925 }, { "epoch": 0.9438539111474517, "grad_norm": 0.515625, "learning_rate": 1.905840099406242e-07, "loss": 0.7406, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6926 }, { "epoch": 0.9439901880621423, "grad_norm": 0.263671875, "learning_rate": 1.8966066127789286e-07, "loss": 0.7494, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6927 }, { "epoch": 0.944126464976833, "grad_norm": 0.302734375, "learning_rate": 1.8873953337284035e-07, "loss": 0.6899, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6928 }, { "epoch": 0.9442627418915236, "grad_norm": 0.283203125, "learning_rate": 1.8782062643398214e-07, "loss": 0.7837, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6929 }, { "epoch": 0.9443990188062142, "grad_norm": 0.4296875, "learning_rate": 1.869039406693296e-07, "loss": 0.7693, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6930 }, { "epoch": 0.9445352957209049, "grad_norm": 0.361328125, "learning_rate": 1.859894762863923e-07, "loss": 0.7216, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6931 }, { "epoch": 0.9446715726355955, "grad_norm": 0.291015625, "learning_rate": 1.8507723349217687e-07, "loss": 0.7183, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6932 }, { "epoch": 0.9448078495502862, "grad_norm": 0.4140625, "learning_rate": 1.8416721249318704e-07, "loss": 0.7311, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6933 }, { "epoch": 0.9449441264649768, "grad_norm": 0.296875, "learning_rate": 1.8325941349542354e-07, "loss": 0.7027, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6934 }, { "epoch": 0.9450804033796675, "grad_norm": 0.326171875, "learning_rate": 1.823538367043831e-07, "loss": 0.6656, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6935 }, { "epoch": 0.9452166802943581, "grad_norm": 0.2890625, "learning_rate": 1.8145048232506067e-07, "loss": 0.7249, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6936 }, { "epoch": 0.9453529572090488, "grad_norm": 0.40625, "learning_rate": 1.8054935056194933e-07, "loss": 0.7705, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6937 }, { "epoch": 0.9454892341237394, "grad_norm": 0.333984375, "learning_rate": 1.7965044161903477e-07, "loss": 0.7074, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6938 }, { "epoch": 0.9456255110384301, "grad_norm": 0.2490234375, "learning_rate": 1.7875375569980425e-07, "loss": 0.6457, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6939 }, { "epoch": 0.9457617879531207, "grad_norm": 0.35546875, "learning_rate": 1.778592930072398e-07, "loss": 0.6813, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6940 }, { "epoch": 0.9458980648678114, "grad_norm": 0.322265625, "learning_rate": 1.7696705374381728e-07, "loss": 0.7172, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6941 }, { "epoch": 0.946034341782502, "grad_norm": 0.34375, "learning_rate": 1.7607703811151623e-07, "loss": 0.7608, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6942 }, { "epoch": 0.9461706186971927, "grad_norm": 0.3046875, "learning_rate": 1.7518924631180655e-07, "loss": 0.6686, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6943 }, { "epoch": 0.9463068956118833, "grad_norm": 0.306640625, "learning_rate": 1.7430367854565645e-07, "loss": 0.729, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6944 }, { "epoch": 0.946443172526574, "grad_norm": 0.6875, "learning_rate": 1.7342033501353106e-07, "loss": 0.8318, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6945 }, { "epoch": 0.9465794494412646, "grad_norm": 0.310546875, "learning_rate": 1.725392159153938e-07, "loss": 0.7508, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6946 }, { "epoch": 0.9467157263559554, "grad_norm": 0.318359375, "learning_rate": 1.7166032145070066e-07, "loss": 0.7529, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6947 }, { "epoch": 0.946852003270646, "grad_norm": 0.365234375, "learning_rate": 1.7078365181840917e-07, "loss": 0.6887, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6948 }, { "epoch": 0.9469882801853367, "grad_norm": 0.3125, "learning_rate": 1.6990920721696614e-07, "loss": 0.7356, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6949 }, { "epoch": 0.9471245571000273, "grad_norm": 0.279296875, "learning_rate": 1.690369878443221e-07, "loss": 0.7356, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6950 }, { "epoch": 0.947260834014718, "grad_norm": 0.376953125, "learning_rate": 1.6816699389791914e-07, "loss": 0.7356, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6951 }, { "epoch": 0.9473971109294086, "grad_norm": 0.462890625, "learning_rate": 1.6729922557469636e-07, "loss": 0.6455, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6952 }, { "epoch": 0.9475333878440992, "grad_norm": 0.419921875, "learning_rate": 1.664336830710922e-07, "loss": 0.6759, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6953 }, { "epoch": 0.9476696647587899, "grad_norm": 0.30859375, "learning_rate": 1.6557036658303549e-07, "loss": 0.7309, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6954 }, { "epoch": 0.9478059416734805, "grad_norm": 0.28125, "learning_rate": 1.647092763059577e-07, "loss": 0.6726, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6955 }, { "epoch": 0.9479422185881712, "grad_norm": 0.302734375, "learning_rate": 1.6385041243478062e-07, "loss": 0.7036, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6956 }, { "epoch": 0.9480784955028618, "grad_norm": 0.349609375, "learning_rate": 1.6299377516392545e-07, "loss": 0.731, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6957 }, { "epoch": 0.9482147724175525, "grad_norm": 0.3359375, "learning_rate": 1.6213936468730706e-07, "loss": 0.7188, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6958 }, { "epoch": 0.9483510493322431, "grad_norm": 0.384765625, "learning_rate": 1.6128718119834076e-07, "loss": 0.6959, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6959 }, { "epoch": 0.9484873262469338, "grad_norm": 0.361328125, "learning_rate": 1.604372248899322e-07, "loss": 0.7153, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6960 }, { "epoch": 0.9486236031616244, "grad_norm": 0.296875, "learning_rate": 1.5958949595448525e-07, "loss": 0.7364, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6961 }, { "epoch": 0.9487598800763151, "grad_norm": 0.384765625, "learning_rate": 1.5874399458389865e-07, "loss": 0.6966, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6962 }, { "epoch": 0.9488961569910057, "grad_norm": 0.37109375, "learning_rate": 1.5790072096957042e-07, "loss": 0.7238, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6963 }, { "epoch": 0.9490324339056964, "grad_norm": 0.458984375, "learning_rate": 1.570596753023901e-07, "loss": 0.6855, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6964 }, { "epoch": 0.949168710820387, "grad_norm": 0.32421875, "learning_rate": 1.562208577727442e-07, "loss": 0.7354, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6965 }, { "epoch": 0.9493049877350777, "grad_norm": 0.306640625, "learning_rate": 1.5538426857051537e-07, "loss": 0.7224, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6966 }, { "epoch": 0.9494412646497683, "grad_norm": 0.28515625, "learning_rate": 1.5454990788508206e-07, "loss": 0.7279, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6967 }, { "epoch": 0.949577541564459, "grad_norm": 0.369140625, "learning_rate": 1.5371777590531766e-07, "loss": 0.6567, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6968 }, { "epoch": 0.9497138184791496, "grad_norm": 0.41015625, "learning_rate": 1.528878728195893e-07, "loss": 0.6421, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6969 }, { "epoch": 0.9498500953938402, "grad_norm": 0.248046875, "learning_rate": 1.520601988157655e-07, "loss": 0.7089, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6970 }, { "epoch": 0.9499863723085309, "grad_norm": 0.384765625, "learning_rate": 1.5123475408120092e-07, "loss": 0.7036, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6971 }, { "epoch": 0.9501226492232215, "grad_norm": 0.3046875, "learning_rate": 1.5041153880275494e-07, "loss": 0.6636, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6972 }, { "epoch": 0.9502589261379122, "grad_norm": 0.361328125, "learning_rate": 1.4959055316677629e-07, "loss": 0.7657, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6973 }, { "epoch": 0.9503952030526029, "grad_norm": 0.271484375, "learning_rate": 1.4877179735910963e-07, "loss": 0.7793, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6974 }, { "epoch": 0.9505314799672936, "grad_norm": 0.3671875, "learning_rate": 1.4795527156509783e-07, "loss": 0.7762, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6975 }, { "epoch": 0.9506677568819842, "grad_norm": 0.357421875, "learning_rate": 1.4714097596957743e-07, "loss": 0.7839, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6976 }, { "epoch": 0.9508040337966749, "grad_norm": 0.34375, "learning_rate": 1.4632891075687773e-07, "loss": 0.6099, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6977 }, { "epoch": 0.9509403107113655, "grad_norm": 0.291015625, "learning_rate": 1.4551907611082717e-07, "loss": 0.7509, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6978 }, { "epoch": 0.9510765876260562, "grad_norm": 0.240234375, "learning_rate": 1.447114722147469e-07, "loss": 0.679, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6979 }, { "epoch": 0.9512128645407468, "grad_norm": 0.265625, "learning_rate": 1.439060992514507e-07, "loss": 0.6654, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6980 }, { "epoch": 0.9513491414554375, "grad_norm": 0.45703125, "learning_rate": 1.4310295740325498e-07, "loss": 0.807, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6981 }, { "epoch": 0.9514854183701281, "grad_norm": 0.42578125, "learning_rate": 1.4230204685196202e-07, "loss": 0.7052, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6982 }, { "epoch": 0.9516216952848188, "grad_norm": 0.2890625, "learning_rate": 1.4150336777887687e-07, "loss": 0.7207, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6983 }, { "epoch": 0.9517579721995094, "grad_norm": 0.330078125, "learning_rate": 1.407069203647915e-07, "loss": 0.6703, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6984 }, { "epoch": 0.9518942491142001, "grad_norm": 0.259765625, "learning_rate": 1.3991270479000063e-07, "loss": 0.7269, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6985 }, { "epoch": 0.9520305260288907, "grad_norm": 0.53515625, "learning_rate": 1.3912072123428933e-07, "loss": 0.9324, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6986 }, { "epoch": 0.9521668029435814, "grad_norm": 0.228515625, "learning_rate": 1.3833096987693751e-07, "loss": 0.6885, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6987 }, { "epoch": 0.952303079858272, "grad_norm": 0.396484375, "learning_rate": 1.3754345089671884e-07, "loss": 0.7275, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6988 }, { "epoch": 0.9524393567729627, "grad_norm": 0.4921875, "learning_rate": 1.3675816447190739e-07, "loss": 0.8197, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6989 }, { "epoch": 0.9525756336876533, "grad_norm": 0.28125, "learning_rate": 1.3597511078026425e-07, "loss": 0.6792, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6990 }, { "epoch": 0.952711910602344, "grad_norm": 0.353515625, "learning_rate": 1.3519428999904993e-07, "loss": 0.7392, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6991 }, { "epoch": 0.9528481875170346, "grad_norm": 0.384765625, "learning_rate": 1.3441570230501856e-07, "loss": 0.7076, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6992 }, { "epoch": 0.9529844644317252, "grad_norm": 0.50390625, "learning_rate": 1.336393478744169e-07, "loss": 0.7694, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6993 }, { "epoch": 0.9531207413464159, "grad_norm": 0.275390625, "learning_rate": 1.3286522688298996e-07, "loss": 0.6737, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6994 }, { "epoch": 0.9532570182611065, "grad_norm": 0.51953125, "learning_rate": 1.3209333950597204e-07, "loss": 0.8425, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6995 }, { "epoch": 0.9533932951757972, "grad_norm": 0.43359375, "learning_rate": 1.3132368591809553e-07, "loss": 0.7814, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6996 }, { "epoch": 0.9535295720904878, "grad_norm": 0.36328125, "learning_rate": 1.3055626629358774e-07, "loss": 0.7925, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6997 }, { "epoch": 0.9536658490051785, "grad_norm": 0.34375, "learning_rate": 1.2979108080616752e-07, "loss": 0.7791, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6998 }, { "epoch": 0.9538021259198691, "grad_norm": 0.375, "learning_rate": 1.2902812962904743e-07, "loss": 0.7402, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 6999 }, { "epoch": 0.9539384028345598, "grad_norm": 0.26953125, "learning_rate": 1.282674129349404e-07, "loss": 0.6939, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7000 }, { "epoch": 0.9540746797492505, "grad_norm": 0.33984375, "learning_rate": 1.2750893089604422e-07, "loss": 0.7011, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7001 }, { "epoch": 0.9542109566639412, "grad_norm": 0.310546875, "learning_rate": 1.2675268368406046e-07, "loss": 0.6905, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7002 }, { "epoch": 0.9543472335786318, "grad_norm": 0.265625, "learning_rate": 1.2599867147017665e-07, "loss": 0.7052, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7003 }, { "epoch": 0.9544835104933225, "grad_norm": 0.283203125, "learning_rate": 1.2524689442507954e-07, "loss": 0.7292, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7004 }, { "epoch": 0.9546197874080131, "grad_norm": 0.33984375, "learning_rate": 1.2449735271894747e-07, "loss": 0.7937, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7005 }, { "epoch": 0.9547560643227038, "grad_norm": 0.31640625, "learning_rate": 1.2375004652145361e-07, "loss": 0.7652, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7006 }, { "epoch": 0.9548923412373944, "grad_norm": 0.439453125, "learning_rate": 1.2300497600176599e-07, "loss": 0.8827, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7007 }, { "epoch": 0.9550286181520851, "grad_norm": 0.287109375, "learning_rate": 1.222621413285441e-07, "loss": 0.6999, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7008 }, { "epoch": 0.9551648950667757, "grad_norm": 0.330078125, "learning_rate": 1.2152154266994454e-07, "loss": 0.6702, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7009 }, { "epoch": 0.9553011719814664, "grad_norm": 0.283203125, "learning_rate": 1.2078318019361322e-07, "loss": 0.653, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7010 }, { "epoch": 0.955437448896157, "grad_norm": 0.302734375, "learning_rate": 1.2004705406669537e-07, "loss": 0.7309, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7011 }, { "epoch": 0.9555737258108477, "grad_norm": 0.3046875, "learning_rate": 1.1931316445582542e-07, "loss": 0.6709, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7012 }, { "epoch": 0.9557100027255383, "grad_norm": 0.265625, "learning_rate": 1.1858151152713492e-07, "loss": 0.7463, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7013 }, { "epoch": 0.955846279640229, "grad_norm": 0.380859375, "learning_rate": 1.1785209544624588e-07, "loss": 0.7656, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7014 }, { "epoch": 0.9559825565549196, "grad_norm": 0.310546875, "learning_rate": 1.1712491637827616e-07, "loss": 0.6873, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7015 }, { "epoch": 0.9561188334696102, "grad_norm": 0.3125, "learning_rate": 1.1639997448783635e-07, "loss": 0.7154, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7016 }, { "epoch": 0.9562551103843009, "grad_norm": 0.25, "learning_rate": 1.1567726993903184e-07, "loss": 0.6355, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7017 }, { "epoch": 0.9563913872989915, "grad_norm": 0.3359375, "learning_rate": 1.1495680289545951e-07, "loss": 0.6914, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7018 }, { "epoch": 0.9565276642136822, "grad_norm": 0.33203125, "learning_rate": 1.1423857352021117e-07, "loss": 0.7551, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7019 }, { "epoch": 0.9566639411283728, "grad_norm": 0.3671875, "learning_rate": 1.1352258197587229e-07, "loss": 0.7606, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7020 }, { "epoch": 0.9568002180430635, "grad_norm": 0.333984375, "learning_rate": 1.128088284245199e-07, "loss": 0.7264, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7021 }, { "epoch": 0.9569364949577541, "grad_norm": 0.5, "learning_rate": 1.1209731302772809e-07, "loss": 0.7362, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7022 }, { "epoch": 0.9570727718724448, "grad_norm": 0.26953125, "learning_rate": 1.1138803594655912e-07, "loss": 0.741, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7023 }, { "epoch": 0.9572090487871354, "grad_norm": 0.44140625, "learning_rate": 1.1068099734157456e-07, "loss": 0.737, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7024 }, { "epoch": 0.9573453257018261, "grad_norm": 0.333984375, "learning_rate": 1.0997619737282305e-07, "loss": 0.6913, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7025 }, { "epoch": 0.9574816026165167, "grad_norm": 0.330078125, "learning_rate": 1.0927363619985032e-07, "loss": 0.6691, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7026 }, { "epoch": 0.9576178795312074, "grad_norm": 0.291015625, "learning_rate": 1.0857331398169579e-07, "loss": 0.7384, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7027 }, { "epoch": 0.9577541564458981, "grad_norm": 0.2734375, "learning_rate": 1.0787523087689044e-07, "loss": 0.7734, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7028 }, { "epoch": 0.9578904333605888, "grad_norm": 0.419921875, "learning_rate": 1.0717938704345787e-07, "loss": 0.6726, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7029 }, { "epoch": 0.9580267102752794, "grad_norm": 0.271484375, "learning_rate": 1.064857826389154e-07, "loss": 0.7151, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7030 }, { "epoch": 0.9581629871899701, "grad_norm": 0.28515625, "learning_rate": 1.0579441782027522e-07, "loss": 0.6937, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7031 }, { "epoch": 0.9582992641046607, "grad_norm": 0.357421875, "learning_rate": 1.051052927440388e-07, "loss": 0.7187, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7032 }, { "epoch": 0.9584355410193514, "grad_norm": 0.3359375, "learning_rate": 1.044184075662058e-07, "loss": 0.7643, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7033 }, { "epoch": 0.958571817934042, "grad_norm": 0.283203125, "learning_rate": 1.0373376244226186e-07, "loss": 0.6326, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7034 }, { "epoch": 0.9587080948487327, "grad_norm": 0.376953125, "learning_rate": 1.0305135752719409e-07, "loss": 0.6994, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7035 }, { "epoch": 0.9588443717634233, "grad_norm": 0.294921875, "learning_rate": 1.0237119297547338e-07, "loss": 0.6804, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7036 }, { "epoch": 0.958980648678114, "grad_norm": 0.5078125, "learning_rate": 1.0169326894107101e-07, "loss": 0.7024, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7037 }, { "epoch": 0.9591169255928046, "grad_norm": 0.29296875, "learning_rate": 1.0101758557744645e-07, "loss": 0.6623, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7038 }, { "epoch": 0.9592532025074952, "grad_norm": 0.296875, "learning_rate": 1.0034414303755402e-07, "loss": 0.7385, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7039 }, { "epoch": 0.9593894794221859, "grad_norm": 0.23046875, "learning_rate": 9.967294147383954e-08, "loss": 0.7037, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7040 }, { "epoch": 0.9595257563368765, "grad_norm": 0.470703125, "learning_rate": 9.900398103824482e-08, "loss": 0.812, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7041 }, { "epoch": 0.9596620332515672, "grad_norm": 0.298828125, "learning_rate": 9.833726188219872e-08, "loss": 0.7065, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7042 }, { "epoch": 0.9597983101662578, "grad_norm": 0.376953125, "learning_rate": 9.767278415662829e-08, "loss": 0.7346, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7043 }, { "epoch": 0.9599345870809485, "grad_norm": 0.3125, "learning_rate": 9.701054801194987e-08, "loss": 0.7026, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7044 }, { "epoch": 0.9600708639956391, "grad_norm": 0.27734375, "learning_rate": 9.635055359807132e-08, "loss": 0.689, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7045 }, { "epoch": 0.9602071409103298, "grad_norm": 0.4140625, "learning_rate": 9.569280106439871e-08, "loss": 0.7285, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7046 }, { "epoch": 0.9603434178250204, "grad_norm": 0.423828125, "learning_rate": 9.503729055982402e-08, "loss": 0.7061, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7047 }, { "epoch": 0.9604796947397111, "grad_norm": 0.421875, "learning_rate": 9.438402223273524e-08, "loss": 0.7009, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7048 }, { "epoch": 0.9606159716544017, "grad_norm": 0.345703125, "learning_rate": 9.373299623101295e-08, "loss": 0.7429, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7049 }, { "epoch": 0.9607522485690924, "grad_norm": 0.396484375, "learning_rate": 9.308421270202816e-08, "loss": 0.7019, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7050 }, { "epoch": 0.960888525483783, "grad_norm": 0.33984375, "learning_rate": 9.243767179264673e-08, "loss": 0.7259, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7051 }, { "epoch": 0.9610248023984737, "grad_norm": 0.326171875, "learning_rate": 9.179337364922492e-08, "loss": 0.6742, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7052 }, { "epoch": 0.9611610793131643, "grad_norm": 0.283203125, "learning_rate": 9.11513184176116e-08, "loss": 0.6996, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7053 }, { "epoch": 0.961297356227855, "grad_norm": 0.384765625, "learning_rate": 9.05115062431483e-08, "loss": 0.6388, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7054 }, { "epoch": 0.9614336331425457, "grad_norm": 0.310546875, "learning_rate": 8.987393727066918e-08, "loss": 0.7059, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7055 }, { "epoch": 0.9615699100572364, "grad_norm": 0.322265625, "learning_rate": 8.923861164449877e-08, "loss": 0.7777, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7056 }, { "epoch": 0.961706186971927, "grad_norm": 0.36328125, "learning_rate": 8.860552950845758e-08, "loss": 0.7266, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7057 }, { "epoch": 0.9618424638866176, "grad_norm": 0.30078125, "learning_rate": 8.797469100585432e-08, "loss": 0.7547, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7058 }, { "epoch": 0.9619787408013083, "grad_norm": 0.33203125, "learning_rate": 8.734609627949142e-08, "loss": 0.6651, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7059 }, { "epoch": 0.9621150177159989, "grad_norm": 0.36328125, "learning_rate": 8.671974547166285e-08, "loss": 0.7057, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7060 }, { "epoch": 0.9622512946306896, "grad_norm": 0.40234375, "learning_rate": 8.609563872415628e-08, "loss": 0.7428, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7061 }, { "epoch": 0.9623875715453802, "grad_norm": 0.30859375, "learning_rate": 8.54737761782487e-08, "loss": 0.7296, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7062 }, { "epoch": 0.9625238484600709, "grad_norm": 0.34765625, "learning_rate": 8.485415797471308e-08, "loss": 0.705, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7063 }, { "epoch": 0.9626601253747615, "grad_norm": 0.33984375, "learning_rate": 8.423678425380833e-08, "loss": 0.7233, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7064 }, { "epoch": 0.9627964022894522, "grad_norm": 2.515625, "learning_rate": 8.362165515529153e-08, "loss": 0.748, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7065 }, { "epoch": 0.9629326792041428, "grad_norm": 0.32421875, "learning_rate": 8.300877081840797e-08, "loss": 0.7249, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7066 }, { "epoch": 0.9630689561188335, "grad_norm": 0.345703125, "learning_rate": 8.239813138189556e-08, "loss": 0.7228, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7067 }, { "epoch": 0.9632052330335241, "grad_norm": 0.310546875, "learning_rate": 8.178973698398485e-08, "loss": 0.7902, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7068 }, { "epoch": 0.9633415099482148, "grad_norm": 0.455078125, "learning_rate": 8.118358776239677e-08, "loss": 0.8101, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7069 }, { "epoch": 0.9634777868629054, "grad_norm": 0.328125, "learning_rate": 8.057968385434489e-08, "loss": 0.8571, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7070 }, { "epoch": 0.9636140637775961, "grad_norm": 0.30859375, "learning_rate": 7.997802539653432e-08, "loss": 0.6807, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7071 }, { "epoch": 0.9637503406922867, "grad_norm": 0.3046875, "learning_rate": 7.937861252516276e-08, "loss": 0.7891, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7072 }, { "epoch": 0.9638866176069774, "grad_norm": 0.2490234375, "learning_rate": 7.878144537591837e-08, "loss": 0.7227, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7073 }, { "epoch": 0.964022894521668, "grad_norm": 0.302734375, "learning_rate": 7.818652408398075e-08, "loss": 0.6472, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7074 }, { "epoch": 0.9641591714363587, "grad_norm": 0.3359375, "learning_rate": 7.759384878402221e-08, "loss": 0.6565, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7075 }, { "epoch": 0.9642954483510493, "grad_norm": 0.28515625, "learning_rate": 7.700341961020652e-08, "loss": 0.7133, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7076 }, { "epoch": 0.96443172526574, "grad_norm": 0.30078125, "learning_rate": 7.641523669618789e-08, "loss": 0.7095, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7077 }, { "epoch": 0.9645680021804306, "grad_norm": 0.546875, "learning_rate": 7.582930017511314e-08, "loss": 0.811, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7078 }, { "epoch": 0.9647042790951212, "grad_norm": 0.30078125, "learning_rate": 7.524561017961952e-08, "loss": 0.7326, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7079 }, { "epoch": 0.9648405560098119, "grad_norm": 0.28515625, "learning_rate": 7.466416684183686e-08, "loss": 0.7097, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7080 }, { "epoch": 0.9649768329245025, "grad_norm": 0.30859375, "learning_rate": 7.408497029338657e-08, "loss": 0.7932, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7081 }, { "epoch": 0.9651131098391933, "grad_norm": 0.26953125, "learning_rate": 7.350802066537933e-08, "loss": 0.6987, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7082 }, { "epoch": 0.9652493867538839, "grad_norm": 0.345703125, "learning_rate": 7.293331808842063e-08, "loss": 0.6894, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7083 }, { "epoch": 0.9653856636685746, "grad_norm": 0.330078125, "learning_rate": 7.236086269260423e-08, "loss": 0.7749, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7084 }, { "epoch": 0.9655219405832652, "grad_norm": 0.283203125, "learning_rate": 7.179065460751645e-08, "loss": 0.6937, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7085 }, { "epoch": 0.9656582174979559, "grad_norm": 0.265625, "learning_rate": 7.122269396223513e-08, "loss": 0.6953, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7086 }, { "epoch": 0.9657944944126465, "grad_norm": 0.2392578125, "learning_rate": 7.065698088532858e-08, "loss": 0.6437, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7087 }, { "epoch": 0.9659307713273372, "grad_norm": 0.326171875, "learning_rate": 7.009351550485655e-08, "loss": 0.822, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7088 }, { "epoch": 0.9660670482420278, "grad_norm": 0.283203125, "learning_rate": 6.953229794837146e-08, "loss": 0.6644, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7089 }, { "epoch": 0.9662033251567185, "grad_norm": 0.439453125, "learning_rate": 6.897332834291392e-08, "loss": 0.6909, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7090 }, { "epoch": 0.9663396020714091, "grad_norm": 0.353515625, "learning_rate": 6.841660681501939e-08, "loss": 0.7374, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7091 }, { "epoch": 0.9664758789860998, "grad_norm": 0.279296875, "learning_rate": 6.786213349071036e-08, "loss": 0.6709, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7092 }, { "epoch": 0.9666121559007904, "grad_norm": 0.34765625, "learning_rate": 6.730990849550311e-08, "loss": 0.7374, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7093 }, { "epoch": 0.9667484328154811, "grad_norm": 0.265625, "learning_rate": 6.675993195440434e-08, "loss": 0.677, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7094 }, { "epoch": 0.9668847097301717, "grad_norm": 0.3671875, "learning_rate": 6.62122039919122e-08, "loss": 0.7423, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7095 }, { "epoch": 0.9670209866448624, "grad_norm": 0.328125, "learning_rate": 6.56667247320164e-08, "loss": 0.6915, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7096 }, { "epoch": 0.967157263559553, "grad_norm": 0.40234375, "learning_rate": 6.512349429819264e-08, "loss": 0.6934, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7097 }, { "epoch": 0.9672935404742437, "grad_norm": 0.27734375, "learning_rate": 6.458251281341698e-08, "loss": 0.6936, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7098 }, { "epoch": 0.9674298173889343, "grad_norm": 0.390625, "learning_rate": 6.404378040014592e-08, "loss": 0.7403, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7099 }, { "epoch": 0.967566094303625, "grad_norm": 0.314453125, "learning_rate": 6.350729718033521e-08, "loss": 0.7151, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7100 }, { "epoch": 0.9677023712183156, "grad_norm": 0.416015625, "learning_rate": 6.297306327542663e-08, "loss": 0.7624, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7101 }, { "epoch": 0.9678386481330062, "grad_norm": 0.353515625, "learning_rate": 6.244107880635452e-08, "loss": 0.7607, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7102 }, { "epoch": 0.9679749250476969, "grad_norm": 0.3203125, "learning_rate": 6.191134389354369e-08, "loss": 0.6586, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7103 }, { "epoch": 0.9681112019623875, "grad_norm": 0.349609375, "learning_rate": 6.138385865690932e-08, "loss": 0.6836, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7104 }, { "epoch": 0.9682474788770782, "grad_norm": 0.25, "learning_rate": 6.085862321585811e-08, "loss": 0.691, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7105 }, { "epoch": 0.9683837557917688, "grad_norm": 0.337890625, "learning_rate": 6.033563768928829e-08, "loss": 0.6492, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7106 }, { "epoch": 0.9685200327064595, "grad_norm": 0.30078125, "learning_rate": 5.981490219558627e-08, "loss": 0.6589, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7107 }, { "epoch": 0.9686563096211501, "grad_norm": 0.3359375, "learning_rate": 5.929641685262888e-08, "loss": 0.6603, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7108 }, { "epoch": 0.9687925865358409, "grad_norm": 0.3515625, "learning_rate": 5.878018177778888e-08, "loss": 0.7148, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7109 }, { "epoch": 0.9689288634505315, "grad_norm": 0.29296875, "learning_rate": 5.826619708792391e-08, "loss": 0.6174, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7110 }, { "epoch": 0.9690651403652222, "grad_norm": 0.2890625, "learning_rate": 5.7754462899384246e-08, "loss": 0.7705, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7111 }, { "epoch": 0.9692014172799128, "grad_norm": 0.349609375, "learning_rate": 5.724497932801054e-08, "loss": 0.757, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7112 }, { "epoch": 0.9693376941946035, "grad_norm": 0.287109375, "learning_rate": 5.673774648913499e-08, "loss": 0.7012, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7113 }, { "epoch": 0.9694739711092941, "grad_norm": 0.3046875, "learning_rate": 5.623276449757797e-08, "loss": 0.6319, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7114 }, { "epoch": 0.9696102480239848, "grad_norm": 0.283203125, "learning_rate": 5.573003346765471e-08, "loss": 0.7348, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7115 }, { "epoch": 0.9697465249386754, "grad_norm": 0.291015625, "learning_rate": 5.522955351316417e-08, "loss": 0.6717, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7116 }, { "epoch": 0.9698828018533661, "grad_norm": 0.3046875, "learning_rate": 5.473132474740239e-08, "loss": 0.7315, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7117 }, { "epoch": 0.9700190787680567, "grad_norm": 0.345703125, "learning_rate": 5.4235347283150273e-08, "loss": 0.7572, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7118 }, { "epoch": 0.9701553556827474, "grad_norm": 0.34765625, "learning_rate": 5.374162123268467e-08, "loss": 0.7037, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7119 }, { "epoch": 0.970291632597438, "grad_norm": 0.296875, "learning_rate": 5.325014670776951e-08, "loss": 0.7055, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7120 }, { "epoch": 0.9704279095121287, "grad_norm": 0.302734375, "learning_rate": 5.276092381965692e-08, "loss": 0.6768, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7121 }, { "epoch": 0.9705641864268193, "grad_norm": 0.279296875, "learning_rate": 5.227395267909496e-08, "loss": 0.6924, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7122 }, { "epoch": 0.97070046334151, "grad_norm": 0.287109375, "learning_rate": 5.1789233396316584e-08, "loss": 0.7506, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7123 }, { "epoch": 0.9708367402562006, "grad_norm": 0.50390625, "learning_rate": 5.1306766081048456e-08, "loss": 0.7279, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7124 }, { "epoch": 0.9709730171708912, "grad_norm": 0.380859375, "learning_rate": 5.082655084250654e-08, "loss": 0.8231, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7125 }, { "epoch": 0.9711092940855819, "grad_norm": 0.287109375, "learning_rate": 5.0348587789394996e-08, "loss": 0.6827, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7126 }, { "epoch": 0.9712455710002725, "grad_norm": 0.296875, "learning_rate": 4.987287702991173e-08, "loss": 0.6687, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7127 }, { "epoch": 0.9713818479149632, "grad_norm": 0.32421875, "learning_rate": 4.9399418671741694e-08, "loss": 0.6462, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7128 }, { "epoch": 0.9715181248296538, "grad_norm": 0.353515625, "learning_rate": 4.89282128220625e-08, "loss": 0.7388, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7129 }, { "epoch": 0.9716544017443445, "grad_norm": 0.333984375, "learning_rate": 4.845925958753994e-08, "loss": 0.7397, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7130 }, { "epoch": 0.9717906786590351, "grad_norm": 0.30078125, "learning_rate": 4.7992559074329093e-08, "loss": 0.7587, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7131 }, { "epoch": 0.9719269555737258, "grad_norm": 0.333984375, "learning_rate": 4.752811138807878e-08, "loss": 0.6947, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7132 }, { "epoch": 0.9720632324884164, "grad_norm": 0.33203125, "learning_rate": 4.70659166339249e-08, "loss": 0.6829, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7133 }, { "epoch": 0.9721995094031071, "grad_norm": 0.427734375, "learning_rate": 4.660597491649377e-08, "loss": 0.71, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7134 }, { "epoch": 0.9723357863177977, "grad_norm": 0.306640625, "learning_rate": 4.6148286339902095e-08, "loss": 0.7034, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7135 }, { "epoch": 0.9724720632324885, "grad_norm": 1.5859375, "learning_rate": 4.5692851007757e-08, "loss": 0.7448, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7136 }, { "epoch": 0.9726083401471791, "grad_norm": 0.34765625, "learning_rate": 4.5239669023153795e-08, "loss": 0.74, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7137 }, { "epoch": 0.9727446170618698, "grad_norm": 0.28515625, "learning_rate": 4.4788740488679315e-08, "loss": 0.7223, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7138 }, { "epoch": 0.9728808939765604, "grad_norm": 0.3125, "learning_rate": 4.434006550641079e-08, "loss": 0.6844, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7139 }, { "epoch": 0.9730171708912511, "grad_norm": 0.578125, "learning_rate": 4.389364417791253e-08, "loss": 0.7272, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7140 }, { "epoch": 0.9731534478059417, "grad_norm": 0.5078125, "learning_rate": 4.3449476604242593e-08, "loss": 0.7656, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7141 }, { "epoch": 0.9732897247206324, "grad_norm": 0.416015625, "learning_rate": 4.300756288594499e-08, "loss": 0.7735, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7142 }, { "epoch": 0.973426001635323, "grad_norm": 0.2890625, "learning_rate": 4.2567903123056364e-08, "loss": 0.7657, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7143 }, { "epoch": 0.9735622785500136, "grad_norm": 0.28125, "learning_rate": 4.2130497415101556e-08, "loss": 0.7228, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7144 }, { "epoch": 0.9736985554647043, "grad_norm": 0.2451171875, "learning_rate": 4.1695345861096915e-08, "loss": 0.6507, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7145 }, { "epoch": 0.9738348323793949, "grad_norm": 0.287109375, "learning_rate": 4.126244855954586e-08, "loss": 0.7085, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7146 }, { "epoch": 0.9739711092940856, "grad_norm": 0.33984375, "learning_rate": 4.083180560844335e-08, "loss": 0.7765, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7147 }, { "epoch": 0.9741073862087762, "grad_norm": 0.296875, "learning_rate": 4.040341710527473e-08, "loss": 0.6764, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7148 }, { "epoch": 0.9742436631234669, "grad_norm": 0.34765625, "learning_rate": 3.9977283147011325e-08, "loss": 0.7041, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7149 }, { "epoch": 0.9743799400381575, "grad_norm": 0.333984375, "learning_rate": 3.955340383012041e-08, "loss": 0.7809, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7150 }, { "epoch": 0.9745162169528482, "grad_norm": 0.279296875, "learning_rate": 3.913177925055189e-08, "loss": 0.6181, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7151 }, { "epoch": 0.9746524938675388, "grad_norm": 0.3359375, "learning_rate": 3.871240950375055e-08, "loss": 0.7824, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7152 }, { "epoch": 0.9747887707822295, "grad_norm": 0.318359375, "learning_rate": 3.82952946846471e-08, "loss": 0.6503, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7153 }, { "epoch": 0.9749250476969201, "grad_norm": 0.255859375, "learning_rate": 3.7880434887664904e-08, "loss": 0.6277, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7154 }, { "epoch": 0.9750613246116108, "grad_norm": 0.404296875, "learning_rate": 3.746783020671441e-08, "loss": 0.7611, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7155 }, { "epoch": 0.9751976015263014, "grad_norm": 0.3125, "learning_rate": 3.705748073519644e-08, "loss": 0.6857, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7156 }, { "epoch": 0.9753338784409921, "grad_norm": 0.349609375, "learning_rate": 3.6649386566002255e-08, "loss": 0.6983, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7157 }, { "epoch": 0.9754701553556827, "grad_norm": 0.34765625, "learning_rate": 3.62435477915124e-08, "loss": 0.7586, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7158 }, { "epoch": 0.9756064322703734, "grad_norm": 0.287109375, "learning_rate": 3.58399645035945e-08, "loss": 0.6532, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7159 }, { "epoch": 0.975742709185064, "grad_norm": 0.51953125, "learning_rate": 3.543863679360881e-08, "loss": 0.6668, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7160 }, { "epoch": 0.9758789860997547, "grad_norm": 0.431640625, "learning_rate": 3.5039564752402666e-08, "loss": 0.8263, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7161 }, { "epoch": 0.9760152630144453, "grad_norm": 0.453125, "learning_rate": 3.464274847031268e-08, "loss": 0.706, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7162 }, { "epoch": 0.9761515399291361, "grad_norm": 0.44140625, "learning_rate": 3.424818803716812e-08, "loss": 0.7258, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7163 }, { "epoch": 0.9762878168438267, "grad_norm": 0.33203125, "learning_rate": 3.38558835422842e-08, "loss": 0.7665, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7164 }, { "epoch": 0.9764240937585174, "grad_norm": 0.2255859375, "learning_rate": 3.346583507446543e-08, "loss": 0.6395, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7165 }, { "epoch": 0.976560370673208, "grad_norm": 0.25390625, "learning_rate": 3.3078042722008985e-08, "loss": 0.696, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7166 }, { "epoch": 0.9766966475878986, "grad_norm": 0.28125, "learning_rate": 3.2692506572696844e-08, "loss": 0.6431, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7167 }, { "epoch": 0.9768329245025893, "grad_norm": 0.45703125, "learning_rate": 3.230922671380365e-08, "loss": 0.6537, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7168 }, { "epoch": 0.9769692014172799, "grad_norm": 0.3125, "learning_rate": 3.1928203232092224e-08, "loss": 0.7097, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7169 }, { "epoch": 0.9771054783319706, "grad_norm": 0.31640625, "learning_rate": 3.1549436213814674e-08, "loss": 0.6811, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7170 }, { "epoch": 0.9772417552466612, "grad_norm": 0.37890625, "learning_rate": 3.117292574471131e-08, "loss": 0.673, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7171 }, { "epoch": 0.9773780321613519, "grad_norm": 0.36328125, "learning_rate": 3.0798671910012846e-08, "loss": 0.7299, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7172 }, { "epoch": 0.9775143090760425, "grad_norm": 0.298828125, "learning_rate": 3.042667479443817e-08, "loss": 0.6989, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7173 }, { "epoch": 0.9776505859907332, "grad_norm": 0.3046875, "learning_rate": 3.0056934482197706e-08, "loss": 0.6665, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7174 }, { "epoch": 0.9777868629054238, "grad_norm": 0.3046875, "learning_rate": 2.968945105698673e-08, "loss": 0.6909, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7175 }, { "epoch": 0.9779231398201145, "grad_norm": 0.314453125, "learning_rate": 2.9324224601994244e-08, "loss": 0.7236, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7176 }, { "epoch": 0.9780594167348051, "grad_norm": 0.53125, "learning_rate": 2.896125519989523e-08, "loss": 0.8088, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7177 }, { "epoch": 0.9781956936494958, "grad_norm": 0.30859375, "learning_rate": 2.860054293285508e-08, "loss": 0.6407, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7178 }, { "epoch": 0.9783319705641864, "grad_norm": 0.259765625, "learning_rate": 2.824208788252847e-08, "loss": 0.6842, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7179 }, { "epoch": 0.9784682474788771, "grad_norm": 0.3984375, "learning_rate": 2.7885890130057158e-08, "loss": 0.7716, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7180 }, { "epoch": 0.9786045243935677, "grad_norm": 0.2138671875, "learning_rate": 2.7531949756074428e-08, "loss": 0.6997, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7181 }, { "epoch": 0.9787408013082584, "grad_norm": 0.330078125, "learning_rate": 2.718026684070063e-08, "loss": 0.674, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7182 }, { "epoch": 0.978877078222949, "grad_norm": 0.32421875, "learning_rate": 2.6830841463546532e-08, "loss": 0.7397, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7183 }, { "epoch": 0.9790133551376397, "grad_norm": 0.396484375, "learning_rate": 2.6483673703711077e-08, "loss": 0.7318, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7184 }, { "epoch": 0.9791496320523303, "grad_norm": 0.333984375, "learning_rate": 2.6138763639782518e-08, "loss": 0.7079, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7185 }, { "epoch": 0.979285908967021, "grad_norm": 0.34765625, "learning_rate": 2.5796111349837283e-08, "loss": 0.7184, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7186 }, { "epoch": 0.9794221858817116, "grad_norm": 0.337890625, "learning_rate": 2.545571691144111e-08, "loss": 0.6986, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7187 }, { "epoch": 0.9795584627964022, "grad_norm": 0.3515625, "learning_rate": 2.511758040165013e-08, "loss": 0.6261, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7188 }, { "epoch": 0.9796947397110929, "grad_norm": 0.34765625, "learning_rate": 2.478170189700646e-08, "loss": 0.6855, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7189 }, { "epoch": 0.9798310166257836, "grad_norm": 0.337890625, "learning_rate": 2.4448081473543716e-08, "loss": 0.695, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7190 }, { "epoch": 0.9799672935404743, "grad_norm": 0.2734375, "learning_rate": 2.4116719206782603e-08, "loss": 0.7063, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7191 }, { "epoch": 0.9801035704551649, "grad_norm": 0.30078125, "learning_rate": 2.3787615171734223e-08, "loss": 0.7345, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7192 }, { "epoch": 0.9802398473698556, "grad_norm": 0.31640625, "learning_rate": 2.3460769442895658e-08, "loss": 0.6804, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7193 }, { "epoch": 0.9803761242845462, "grad_norm": 0.31640625, "learning_rate": 2.313618209425661e-08, "loss": 0.7661, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7194 }, { "epoch": 0.9805124011992369, "grad_norm": 0.51171875, "learning_rate": 2.2813853199292745e-08, "loss": 0.7494, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7195 }, { "epoch": 0.9806486781139275, "grad_norm": 0.318359375, "learning_rate": 2.2493782830970145e-08, "loss": 0.6716, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7196 }, { "epoch": 0.9807849550286182, "grad_norm": 0.28515625, "learning_rate": 2.2175971061740854e-08, "loss": 0.6787, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7197 }, { "epoch": 0.9809212319433088, "grad_norm": 0.26953125, "learning_rate": 2.186041796354954e-08, "loss": 0.6314, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7198 }, { "epoch": 0.9810575088579995, "grad_norm": 0.396484375, "learning_rate": 2.1547123607827958e-08, "loss": 0.6884, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7199 }, { "epoch": 0.9811937857726901, "grad_norm": 0.28125, "learning_rate": 2.1236088065493822e-08, "loss": 0.6652, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7200 }, { "epoch": 0.9813300626873808, "grad_norm": 0.25390625, "learning_rate": 2.0927311406958584e-08, "loss": 0.6881, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7201 }, { "epoch": 0.9814663396020714, "grad_norm": 0.3828125, "learning_rate": 2.062079370211967e-08, "loss": 0.7319, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7202 }, { "epoch": 0.9816026165167621, "grad_norm": 0.330078125, "learning_rate": 2.0316535020360462e-08, "loss": 0.6084, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7203 }, { "epoch": 0.9817388934314527, "grad_norm": 0.369140625, "learning_rate": 2.00145354305592e-08, "loss": 0.7324, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7204 }, { "epoch": 0.9818751703461434, "grad_norm": 0.34765625, "learning_rate": 1.9714795001075648e-08, "loss": 0.7508, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7205 }, { "epoch": 0.982011447260834, "grad_norm": 0.2890625, "learning_rate": 1.9417313799765526e-08, "loss": 0.6624, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7206 }, { "epoch": 0.9821477241755247, "grad_norm": 0.240234375, "learning_rate": 1.912209189396719e-08, "loss": 0.6173, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7207 }, { "epoch": 0.9822840010902153, "grad_norm": 0.310546875, "learning_rate": 1.88291293505094e-08, "loss": 0.6738, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7208 }, { "epoch": 0.982420278004906, "grad_norm": 0.38671875, "learning_rate": 1.8538426235711336e-08, "loss": 0.7843, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7209 }, { "epoch": 0.9825565549195966, "grad_norm": 0.322265625, "learning_rate": 1.8249982615378137e-08, "loss": 0.6879, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7210 }, { "epoch": 0.9826928318342872, "grad_norm": 0.337890625, "learning_rate": 1.7963798554805346e-08, "loss": 0.7612, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7211 }, { "epoch": 0.9828291087489779, "grad_norm": 0.55859375, "learning_rate": 1.7679874118774477e-08, "loss": 0.7505, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7212 }, { "epoch": 0.9829653856636685, "grad_norm": 0.359375, "learning_rate": 1.739820937155967e-08, "loss": 0.7913, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7213 }, { "epoch": 0.9831016625783592, "grad_norm": 0.28515625, "learning_rate": 1.7118804376919927e-08, "loss": 0.6863, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7214 }, { "epoch": 0.9832379394930498, "grad_norm": 0.35546875, "learning_rate": 1.6841659198103543e-08, "loss": 0.7331, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7215 }, { "epoch": 0.9833742164077405, "grad_norm": 0.328125, "learning_rate": 1.6566773897847e-08, "loss": 0.6827, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7216 }, { "epoch": 0.9835104933224312, "grad_norm": 0.310546875, "learning_rate": 1.6294148538378295e-08, "loss": 0.7149, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7217 }, { "epoch": 0.9836467702371219, "grad_norm": 0.330078125, "learning_rate": 1.602378318140918e-08, "loss": 0.599, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7218 }, { "epoch": 0.9837830471518125, "grad_norm": 0.2734375, "learning_rate": 1.575567788814292e-08, "loss": 0.6337, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7219 }, { "epoch": 0.9839193240665032, "grad_norm": 0.294921875, "learning_rate": 1.5489832719269847e-08, "loss": 0.7232, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7220 }, { "epoch": 0.9840556009811938, "grad_norm": 0.5, "learning_rate": 1.5226247734968503e-08, "loss": 0.7323, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7221 }, { "epoch": 0.9841918778958845, "grad_norm": 0.32421875, "learning_rate": 1.4964922994908926e-08, "loss": 0.7074, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7222 }, { "epoch": 0.9843281548105751, "grad_norm": 0.46484375, "learning_rate": 1.4705858558243803e-08, "loss": 0.8409, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7223 }, { "epoch": 0.9844644317252658, "grad_norm": 0.27734375, "learning_rate": 1.444905448361955e-08, "loss": 0.7035, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7224 }, { "epoch": 0.9846007086399564, "grad_norm": 0.2294921875, "learning_rate": 1.419451082916745e-08, "loss": 0.7549, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7225 }, { "epoch": 0.9847369855546471, "grad_norm": 0.349609375, "learning_rate": 1.3942227652509189e-08, "loss": 0.6961, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7226 }, { "epoch": 0.9848732624693377, "grad_norm": 0.357421875, "learning_rate": 1.3692205010753524e-08, "loss": 0.7054, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7227 }, { "epoch": 0.9850095393840284, "grad_norm": 0.330078125, "learning_rate": 1.3444442960497406e-08, "loss": 0.6593, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7228 }, { "epoch": 0.985145816298719, "grad_norm": 0.27734375, "learning_rate": 1.3198941557827082e-08, "loss": 0.6798, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7229 }, { "epoch": 0.9852820932134096, "grad_norm": 0.3515625, "learning_rate": 1.2955700858315878e-08, "loss": 0.7311, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7230 }, { "epoch": 0.9854183701281003, "grad_norm": 0.291015625, "learning_rate": 1.2714720917026413e-08, "loss": 0.6824, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7231 }, { "epoch": 0.9855546470427909, "grad_norm": 0.314453125, "learning_rate": 1.2476001788509496e-08, "loss": 0.6807, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7232 }, { "epoch": 0.9856909239574816, "grad_norm": 0.33203125, "learning_rate": 1.223954352680301e-08, "loss": 0.6838, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7233 }, { "epoch": 0.9858272008721722, "grad_norm": 0.34375, "learning_rate": 1.2005346185434142e-08, "loss": 0.7066, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7234 }, { "epoch": 0.9859634777868629, "grad_norm": 0.3125, "learning_rate": 1.1773409817417147e-08, "loss": 0.709, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7235 }, { "epoch": 0.9860997547015535, "grad_norm": 0.33984375, "learning_rate": 1.1543734475257806e-08, "loss": 0.7118, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7236 }, { "epoch": 0.9862360316162442, "grad_norm": 0.37890625, "learning_rate": 1.131632021094453e-08, "loss": 0.6748, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7237 }, { "epoch": 0.9863723085309348, "grad_norm": 0.29296875, "learning_rate": 1.1091167075957255e-08, "loss": 0.7216, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7238 }, { "epoch": 0.9865085854456255, "grad_norm": 0.30859375, "learning_rate": 1.0868275121266314e-08, "loss": 0.7087, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7239 }, { "epoch": 0.9866448623603161, "grad_norm": 0.291015625, "learning_rate": 1.0647644397324686e-08, "loss": 0.7481, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7240 }, { "epoch": 0.9867811392750068, "grad_norm": 0.29296875, "learning_rate": 1.0429274954077972e-08, "loss": 0.6966, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7241 }, { "epoch": 0.9869174161896974, "grad_norm": 0.361328125, "learning_rate": 1.0213166840956634e-08, "loss": 0.749, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7242 }, { "epoch": 0.9870536931043881, "grad_norm": 0.37109375, "learning_rate": 9.999320106882649e-09, "loss": 0.7016, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7243 }, { "epoch": 0.9871899700190788, "grad_norm": 0.294921875, "learning_rate": 9.78773480026396e-09, "loss": 0.7166, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7244 }, { "epoch": 0.9873262469337695, "grad_norm": 0.25, "learning_rate": 9.578410968996698e-09, "loss": 0.6797, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7245 }, { "epoch": 0.9874625238484601, "grad_norm": 0.263671875, "learning_rate": 9.371348660464074e-09, "loss": 0.6958, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7246 }, { "epoch": 0.9875988007631508, "grad_norm": 0.28515625, "learning_rate": 9.166547921540814e-09, "loss": 0.7195, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7247 }, { "epoch": 0.9877350776778414, "grad_norm": 0.314453125, "learning_rate": 8.964008798585388e-09, "loss": 0.7682, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7248 }, { "epoch": 0.9878713545925321, "grad_norm": 0.359375, "learning_rate": 8.76373133744779e-09, "loss": 0.7612, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7249 }, { "epoch": 0.9880076315072227, "grad_norm": 0.33203125, "learning_rate": 8.565715583465084e-09, "loss": 0.7285, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7250 }, { "epoch": 0.9881439084219134, "grad_norm": 0.30078125, "learning_rate": 8.369961581460306e-09, "loss": 0.6381, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7251 }, { "epoch": 0.988280185336604, "grad_norm": 0.41796875, "learning_rate": 8.176469375746898e-09, "loss": 0.6375, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7252 }, { "epoch": 0.9884164622512946, "grad_norm": 0.3359375, "learning_rate": 7.985239010125379e-09, "loss": 0.7216, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7253 }, { "epoch": 0.9885527391659853, "grad_norm": 0.46875, "learning_rate": 7.796270527884453e-09, "loss": 0.7095, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7254 }, { "epoch": 0.9886890160806759, "grad_norm": 0.66015625, "learning_rate": 7.609563971802126e-09, "loss": 0.7145, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7255 }, { "epoch": 0.9888252929953666, "grad_norm": 3.75, "learning_rate": 7.425119384140145e-09, "loss": 0.8275, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7256 }, { "epoch": 0.9889615699100572, "grad_norm": 0.3828125, "learning_rate": 7.242936806652889e-09, "loss": 0.6879, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7257 }, { "epoch": 0.9890978468247479, "grad_norm": 0.287109375, "learning_rate": 7.063016280580704e-09, "loss": 0.731, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7258 }, { "epoch": 0.9892341237394385, "grad_norm": 0.35546875, "learning_rate": 6.885357846652119e-09, "loss": 0.7607, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7259 }, { "epoch": 0.9893704006541292, "grad_norm": 0.3359375, "learning_rate": 6.709961545083854e-09, "loss": 0.7362, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7260 }, { "epoch": 0.9895066775688198, "grad_norm": 0.279296875, "learning_rate": 6.536827415578595e-09, "loss": 0.621, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7261 }, { "epoch": 0.9896429544835105, "grad_norm": 0.318359375, "learning_rate": 6.365955497330545e-09, "loss": 0.6943, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7262 }, { "epoch": 0.9897792313982011, "grad_norm": 0.470703125, "learning_rate": 6.197345829017653e-09, "loss": 0.7002, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7263 }, { "epoch": 0.9899155083128918, "grad_norm": 0.466796875, "learning_rate": 6.030998448810499e-09, "loss": 0.7292, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7264 }, { "epoch": 0.9900517852275824, "grad_norm": 0.3515625, "learning_rate": 5.8669133943622945e-09, "loss": 0.7504, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7265 }, { "epoch": 0.9901880621422731, "grad_norm": 0.283203125, "learning_rate": 5.705090702819993e-09, "loss": 0.712, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7266 }, { "epoch": 0.9903243390569637, "grad_norm": 0.349609375, "learning_rate": 5.5455304108120725e-09, "loss": 0.6465, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7267 }, { "epoch": 0.9904606159716544, "grad_norm": 0.33203125, "learning_rate": 5.388232554459638e-09, "loss": 0.7346, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7268 }, { "epoch": 0.990596892886345, "grad_norm": 0.376953125, "learning_rate": 5.233197169370874e-09, "loss": 0.6904, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7269 }, { "epoch": 0.9907331698010357, "grad_norm": 0.2890625, "learning_rate": 5.080424290638819e-09, "loss": 0.6904, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7270 }, { "epoch": 0.9908694467157264, "grad_norm": 0.298828125, "learning_rate": 4.929913952848031e-09, "loss": 0.6983, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7271 }, { "epoch": 0.9910057236304171, "grad_norm": 0.359375, "learning_rate": 4.781666190069034e-09, "loss": 0.7257, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7272 }, { "epoch": 0.9911420005451077, "grad_norm": 0.32421875, "learning_rate": 4.63568103586165e-09, "loss": 0.7606, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7273 }, { "epoch": 0.9912782774597984, "grad_norm": 0.330078125, "learning_rate": 4.491958523270557e-09, "loss": 0.7205, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7274 }, { "epoch": 0.991414554374489, "grad_norm": 0.30859375, "learning_rate": 4.3504986848297295e-09, "loss": 0.6762, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7275 }, { "epoch": 0.9915508312891796, "grad_norm": 0.369140625, "learning_rate": 4.211301552563552e-09, "loss": 0.73, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7276 }, { "epoch": 0.9916871082038703, "grad_norm": 0.267578125, "learning_rate": 4.0743671579812624e-09, "loss": 0.6317, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7277 }, { "epoch": 0.9918233851185609, "grad_norm": 0.357421875, "learning_rate": 3.93969553208029e-09, "loss": 0.7228, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7278 }, { "epoch": 0.9919596620332516, "grad_norm": 0.41015625, "learning_rate": 3.807286705345137e-09, "loss": 0.7846, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7279 }, { "epoch": 0.9920959389479422, "grad_norm": 0.79296875, "learning_rate": 3.677140707750715e-09, "loss": 0.6336, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7280 }, { "epoch": 0.9922322158626329, "grad_norm": 0.2890625, "learning_rate": 3.549257568756792e-09, "loss": 0.6731, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7281 }, { "epoch": 0.9923684927773235, "grad_norm": 0.37890625, "learning_rate": 3.4236373173124336e-09, "loss": 0.7043, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7282 }, { "epoch": 0.9925047696920142, "grad_norm": 0.28125, "learning_rate": 3.3002799818548926e-09, "loss": 0.6928, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7283 }, { "epoch": 0.9926410466067048, "grad_norm": 0.34765625, "learning_rate": 3.1791855903073874e-09, "loss": 0.6748, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7284 }, { "epoch": 0.9927773235213955, "grad_norm": 0.2734375, "learning_rate": 3.060354170083546e-09, "loss": 0.6708, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7285 }, { "epoch": 0.9929136004360861, "grad_norm": 0.3125, "learning_rate": 2.943785748080741e-09, "loss": 0.7842, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7286 }, { "epoch": 0.9930498773507768, "grad_norm": 0.30078125, "learning_rate": 2.8294803506889734e-09, "loss": 0.7505, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7287 }, { "epoch": 0.9931861542654674, "grad_norm": 0.33984375, "learning_rate": 2.7174380037819912e-09, "loss": 0.655, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7288 }, { "epoch": 0.9933224311801581, "grad_norm": 0.310546875, "learning_rate": 2.60765873272284e-09, "loss": 0.657, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7289 }, { "epoch": 0.9934587080948487, "grad_norm": 0.33203125, "learning_rate": 2.5001425623627507e-09, "loss": 0.7031, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7290 }, { "epoch": 0.9935949850095394, "grad_norm": 0.26953125, "learning_rate": 2.394889517038923e-09, "loss": 0.6794, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7291 }, { "epoch": 0.99373126192423, "grad_norm": 0.361328125, "learning_rate": 2.2918996205789634e-09, "loss": 0.7168, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7292 }, { "epoch": 0.9938675388389206, "grad_norm": 0.9453125, "learning_rate": 2.191172896295335e-09, "loss": 0.7748, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7293 }, { "epoch": 0.9940038157536113, "grad_norm": 0.30078125, "learning_rate": 2.092709366989798e-09, "loss": 0.6648, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7294 }, { "epoch": 0.994140092668302, "grad_norm": 0.365234375, "learning_rate": 1.99650905495119e-09, "loss": 0.7818, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7295 }, { "epoch": 0.9942763695829926, "grad_norm": 0.287109375, "learning_rate": 1.902571981957646e-09, "loss": 0.6917, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7296 }, { "epoch": 0.9944126464976832, "grad_norm": 0.294921875, "learning_rate": 1.8108981692721573e-09, "loss": 0.6541, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7297 }, { "epoch": 0.994548923412374, "grad_norm": 0.412109375, "learning_rate": 1.7214876376470124e-09, "loss": 0.7962, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7298 }, { "epoch": 0.9946852003270646, "grad_norm": 0.314453125, "learning_rate": 1.6343404073226876e-09, "loss": 0.6596, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7299 }, { "epoch": 0.9948214772417553, "grad_norm": 0.28515625, "learning_rate": 1.5494564980267357e-09, "loss": 0.7107, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7300 }, { "epoch": 0.9949577541564459, "grad_norm": 0.314453125, "learning_rate": 1.4668359289726764e-09, "loss": 0.7281, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7301 }, { "epoch": 0.9950940310711366, "grad_norm": 0.357421875, "learning_rate": 1.3864787188644368e-09, "loss": 0.7299, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7302 }, { "epoch": 0.9952303079858272, "grad_norm": 0.3984375, "learning_rate": 1.3083848858930214e-09, "loss": 0.7728, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7303 }, { "epoch": 0.9953665849005179, "grad_norm": 0.318359375, "learning_rate": 1.2325544477354012e-09, "loss": 0.7285, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7304 }, { "epoch": 0.9955028618152085, "grad_norm": 0.3515625, "learning_rate": 1.1589874215578446e-09, "loss": 0.7246, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7305 }, { "epoch": 0.9956391387298992, "grad_norm": 0.271484375, "learning_rate": 1.0876838240125865e-09, "loss": 0.6859, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7306 }, { "epoch": 0.9957754156445898, "grad_norm": 0.345703125, "learning_rate": 1.0186436712422699e-09, "loss": 0.7196, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7307 }, { "epoch": 0.9959116925592805, "grad_norm": 0.287109375, "learning_rate": 9.518669788732838e-10, "loss": 0.6975, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7308 }, { "epoch": 0.9960479694739711, "grad_norm": 0.28515625, "learning_rate": 8.873537620235351e-10, "loss": 0.662, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7309 }, { "epoch": 0.9961842463886618, "grad_norm": 0.3671875, "learning_rate": 8.251040352968975e-10, "loss": 0.7673, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7310 }, { "epoch": 0.9963205233033524, "grad_norm": 0.322265625, "learning_rate": 7.651178127843217e-10, "loss": 0.695, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7311 }, { "epoch": 0.9964568002180431, "grad_norm": 0.3125, "learning_rate": 7.073951080638353e-10, "loss": 0.7851, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7312 }, { "epoch": 0.9965930771327337, "grad_norm": 0.4140625, "learning_rate": 6.519359342038733e-10, "loss": 0.7601, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7313 }, { "epoch": 0.9967293540474244, "grad_norm": 0.25390625, "learning_rate": 5.987403037577277e-10, "loss": 0.6508, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7314 }, { "epoch": 0.996865630962115, "grad_norm": 0.37890625, "learning_rate": 5.478082287668774e-10, "loss": 0.7048, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7315 }, { "epoch": 0.9970019078768056, "grad_norm": 0.318359375, "learning_rate": 4.991397207609883e-10, "loss": 0.7054, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7316 }, { "epoch": 0.9971381847914963, "grad_norm": 0.32421875, "learning_rate": 4.5273479075791384e-10, "loss": 0.6813, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7317 }, { "epoch": 0.9972744617061869, "grad_norm": 0.291015625, "learning_rate": 4.08593449261474e-10, "loss": 0.6597, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7318 }, { "epoch": 0.9974107386208776, "grad_norm": 0.353515625, "learning_rate": 3.667157062636761e-10, "loss": 0.6995, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7319 }, { "epoch": 0.9975470155355682, "grad_norm": 0.283203125, "learning_rate": 3.2710157124471456e-10, "loss": 0.6907, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7320 }, { "epoch": 0.9976832924502589, "grad_norm": 0.2890625, "learning_rate": 2.897510531729708e-10, "loss": 0.6954, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7321 }, { "epoch": 0.9978195693649495, "grad_norm": 0.283203125, "learning_rate": 2.546641605016831e-10, "loss": 0.6886, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7322 }, { "epoch": 0.9979558462796402, "grad_norm": 0.31640625, "learning_rate": 2.218409011756073e-10, "loss": 0.6817, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7323 }, { "epoch": 0.9980921231943308, "grad_norm": 0.2890625, "learning_rate": 1.9128128262213553e-10, "loss": 0.6598, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7324 }, { "epoch": 0.9982284001090216, "grad_norm": 0.408203125, "learning_rate": 1.6298531176128786e-10, "loss": 0.8451, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7325 }, { "epoch": 0.9983646770237122, "grad_norm": 0.390625, "learning_rate": 1.369529949979409e-10, "loss": 0.6549, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7326 }, { "epoch": 0.9985009539384029, "grad_norm": 0.310546875, "learning_rate": 1.1318433822404828e-10, "loss": 0.662, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7327 }, { "epoch": 0.9986372308530935, "grad_norm": 0.419921875, "learning_rate": 9.167934682086099e-11, "loss": 0.7201, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7328 }, { "epoch": 0.9987735077677842, "grad_norm": 0.33984375, "learning_rate": 7.243802565670699e-11, "loss": 0.7198, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7329 }, { "epoch": 0.9989097846824748, "grad_norm": 0.384765625, "learning_rate": 5.54603790869912e-11, "loss": 0.7147, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7330 }, { "epoch": 0.9990460615971655, "grad_norm": 0.2890625, "learning_rate": 4.074641095419552e-11, "loss": 0.7102, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7331 }, { "epoch": 0.9991823385118561, "grad_norm": 0.31640625, "learning_rate": 2.8296124590099227e-11, "loss": 0.6544, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7332 }, { "epoch": 0.9993186154265468, "grad_norm": 0.302734375, "learning_rate": 1.8109522812448375e-11, "loss": 0.754, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7333 }, { "epoch": 0.9994548923412374, "grad_norm": 0.29296875, "learning_rate": 1.0186607927176185e-11, "loss": 0.7024, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7334 }, { "epoch": 0.9995911692559281, "grad_norm": 0.546875, "learning_rate": 4.527381727292834e-12, "loss": 0.9121, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7335 }, { "epoch": 0.9997274461706187, "grad_norm": 0.306640625, "learning_rate": 1.131845496216144e-12, "loss": 0.6704, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7336 }, { "epoch": 0.9997274461706187, "eval_loss": 0.7096565365791321, "eval_runtime": 1253.6581, "eval_samples_per_second": 4.098, "eval_steps_per_second": 0.171, "memory/device_mem_reserved(gib)": 58.56, "memory/max_mem_active(gib)": 46.57, "memory/max_mem_allocated(gib)": 44.55, "step": 7336 } ], "logging_steps": 1, "max_steps": 7336, "num_input_tokens_seen": 0, "num_train_epochs": 1, "save_steps": 500, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": true }, "attributes": {} } }, "total_flos": 1.77350748812027e+21, "train_batch_size": 1, "trial_name": null, "trial_params": null }