{ "best_metric": 0.59626758, "best_model_checkpoint": "/mnt/workspace/xingjun.wxj/swift_work/swift-by/output/qwen2-7b-instruct/v7-20240904-182455/checkpoint-432", "epoch": 1.9965337954939342, "eval_steps": 200, "global_step": 432, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "acc": 0.81453747, "epoch": 0.00462160600808781, "grad_norm": 2.1875, "learning_rate": 2.2727272727272729e-07, "loss": 0.76972306, "memory(GiB)": 94.61, "step": 1, "train_speed(iter/s)": 0.038737 }, { "acc": 0.8124181, "epoch": 0.023108030040439053, "grad_norm": 2.6875, "learning_rate": 1.1363636363636364e-06, "loss": 0.64217675, "memory(GiB)": 100.77, "step": 5, "train_speed(iter/s)": 0.049551 }, { "acc": 0.80393114, "epoch": 0.046216060080878106, "grad_norm": 2.40625, "learning_rate": 2.2727272727272728e-06, "loss": 0.72643595, "memory(GiB)": 141.03, "step": 10, "train_speed(iter/s)": 0.049763 }, { "acc": 0.79872313, "epoch": 0.06932409012131716, "grad_norm": 2.09375, "learning_rate": 3.409090909090909e-06, "loss": 0.73066745, "memory(GiB)": 141.03, "step": 15, "train_speed(iter/s)": 0.049428 }, { "acc": 0.8086524, "epoch": 0.09243212016175621, "grad_norm": 2.078125, "learning_rate": 4.5454545454545455e-06, "loss": 0.76757164, "memory(GiB)": 184.34, "step": 20, "train_speed(iter/s)": 0.047908 }, { "acc": 0.80337076, "epoch": 0.11554015020219527, "grad_norm": 1.625, "learning_rate": 5.681818181818183e-06, "loss": 0.81441174, "memory(GiB)": 150.97, "step": 25, "train_speed(iter/s)": 0.046696 }, { "acc": 0.8120677, "epoch": 0.1386481802426343, "grad_norm": 1.453125, "learning_rate": 6.818181818181818e-06, "loss": 0.7133667, "memory(GiB)": 150.97, "step": 30, "train_speed(iter/s)": 0.046543 }, { "acc": 0.82139053, "epoch": 0.16175621028307338, "grad_norm": 1.4765625, "learning_rate": 7.954545454545455e-06, "loss": 0.59637189, "memory(GiB)": 150.98, "step": 35, "train_speed(iter/s)": 0.047037 }, { "acc": 0.81568699, "epoch": 0.18486424032351242, "grad_norm": 1.1796875, "learning_rate": 9.090909090909091e-06, "loss": 0.70513887, "memory(GiB)": 150.98, "step": 40, "train_speed(iter/s)": 0.046892 }, { "acc": 0.820224, "epoch": 0.20797227036395147, "grad_norm": 1.171875, "learning_rate": 9.999836101895782e-06, "loss": 0.69312973, "memory(GiB)": 150.98, "step": 45, "train_speed(iter/s)": 0.046848 }, { "acc": 0.81471777, "epoch": 0.23108030040439054, "grad_norm": 1.234375, "learning_rate": 9.994100796397954e-06, "loss": 0.71612887, "memory(GiB)": 150.98, "step": 50, "train_speed(iter/s)": 0.04669 }, { "acc": 0.81478605, "epoch": 0.2541883304448296, "grad_norm": 1.2578125, "learning_rate": 9.98018132755861e-06, "loss": 0.64565916, "memory(GiB)": 150.98, "step": 55, "train_speed(iter/s)": 0.046851 }, { "acc": 0.81756649, "epoch": 0.2772963604852686, "grad_norm": 1.28125, "learning_rate": 9.958100506132127e-06, "loss": 0.66640944, "memory(GiB)": 150.98, "step": 60, "train_speed(iter/s)": 0.047121 }, { "acc": 0.81747818, "epoch": 0.30040439052570767, "grad_norm": 1.4375, "learning_rate": 9.927894517421252e-06, "loss": 0.63872623, "memory(GiB)": 150.98, "step": 65, "train_speed(iter/s)": 0.047364 }, { "acc": 0.81161108, "epoch": 0.32351242056614676, "grad_norm": 1.28125, "learning_rate": 9.889612861977855e-06, "loss": 0.7101274, "memory(GiB)": 150.98, "step": 70, "train_speed(iter/s)": 0.047269 }, { "acc": 0.81774912, "epoch": 0.3466204506065858, "grad_norm": 1.3828125, "learning_rate": 9.843318274483089e-06, "loss": 0.64770298, "memory(GiB)": 150.98, "step": 75, "train_speed(iter/s)": 0.047298 }, { "acc": 0.81703777, "epoch": 0.36972848064702485, "grad_norm": 1.1328125, "learning_rate": 9.789086620939936e-06, "loss": 0.64908137, "memory(GiB)": 150.98, "step": 80, "train_speed(iter/s)": 0.047241 }, { "acc": 0.8161418, "epoch": 0.3928365106874639, "grad_norm": 1.3671875, "learning_rate": 9.727006774346551e-06, "loss": 0.66009436, "memory(GiB)": 150.98, "step": 85, "train_speed(iter/s)": 0.047297 }, { "acc": 0.82398653, "epoch": 0.41594454072790293, "grad_norm": 1.3203125, "learning_rate": 9.657180469054213e-06, "loss": 0.64000554, "memory(GiB)": 150.98, "step": 90, "train_speed(iter/s)": 0.047467 }, { "acc": 0.82110977, "epoch": 0.439052570768342, "grad_norm": 1.28125, "learning_rate": 9.579722134048506e-06, "loss": 0.67605906, "memory(GiB)": 150.98, "step": 95, "train_speed(iter/s)": 0.047599 }, { "acc": 0.82549, "epoch": 0.4621606008087811, "grad_norm": 1.4140625, "learning_rate": 9.494758705426978e-06, "loss": 0.58404155, "memory(GiB)": 150.98, "step": 100, "train_speed(iter/s)": 0.047822 }, { "acc": 0.82027588, "epoch": 0.4852686308492201, "grad_norm": 1.28125, "learning_rate": 9.402429418380555e-06, "loss": 0.69437795, "memory(GiB)": 150.98, "step": 105, "train_speed(iter/s)": 0.047539 }, { "acc": 0.82060165, "epoch": 0.5083766608896592, "grad_norm": 1.4296875, "learning_rate": 9.302885579019626e-06, "loss": 0.60217834, "memory(GiB)": 150.98, "step": 110, "train_speed(iter/s)": 0.047767 }, { "acc": 0.81884346, "epoch": 0.5314846909300982, "grad_norm": 1.40625, "learning_rate": 9.196290316418712e-06, "loss": 0.62260752, "memory(GiB)": 150.98, "step": 115, "train_speed(iter/s)": 0.047925 }, { "acc": 0.81530762, "epoch": 0.5545927209705372, "grad_norm": 1.1796875, "learning_rate": 9.082818315286054e-06, "loss": 0.67854958, "memory(GiB)": 150.98, "step": 120, "train_speed(iter/s)": 0.048032 }, { "acc": 0.8216691, "epoch": 0.5777007510109763, "grad_norm": 1.28125, "learning_rate": 8.962655529696236e-06, "loss": 0.61422577, "memory(GiB)": 150.98, "step": 125, "train_speed(iter/s)": 0.048043 }, { "acc": 0.82413073, "epoch": 0.6008087810514153, "grad_norm": 1.1796875, "learning_rate": 8.83599887835493e-06, "loss": 0.59601698, "memory(GiB)": 150.98, "step": 130, "train_speed(iter/s)": 0.048165 }, { "acc": 0.82421112, "epoch": 0.6239168110918544, "grad_norm": 1.3515625, "learning_rate": 8.7030559218952e-06, "loss": 0.62850995, "memory(GiB)": 150.98, "step": 135, "train_speed(iter/s)": 0.048186 }, { "acc": 0.81220446, "epoch": 0.6470248411322935, "grad_norm": 1.40625, "learning_rate": 8.564044522734147e-06, "loss": 0.65466747, "memory(GiB)": 150.98, "step": 140, "train_speed(iter/s)": 0.048296 }, { "acc": 0.8225975, "epoch": 0.6701328711727326, "grad_norm": 1.3515625, "learning_rate": 8.419192488047369e-06, "loss": 0.68851438, "memory(GiB)": 150.98, "step": 145, "train_speed(iter/s)": 0.048275 }, { "acc": 0.82113705, "epoch": 0.6932409012131716, "grad_norm": 1.3203125, "learning_rate": 8.268737196446264e-06, "loss": 0.66175132, "memory(GiB)": 150.98, "step": 150, "train_speed(iter/s)": 0.048236 }, { "acc": 0.82547045, "epoch": 0.7163489312536107, "grad_norm": 1.1875, "learning_rate": 8.112925208969996e-06, "loss": 0.58082228, "memory(GiB)": 150.98, "step": 155, "train_speed(iter/s)": 0.048304 }, { "acc": 0.81520081, "epoch": 0.7394569612940497, "grad_norm": 1.15625, "learning_rate": 7.952011865029614e-06, "loss": 0.7566462, "memory(GiB)": 150.98, "step": 160, "train_speed(iter/s)": 0.04806 }, { "acc": 0.82244606, "epoch": 0.7625649913344887, "grad_norm": 1.265625, "learning_rate": 7.786260863966468e-06, "loss": 0.64169059, "memory(GiB)": 150.98, "step": 165, "train_speed(iter/s)": 0.048128 }, { "acc": 0.82460566, "epoch": 0.7856730213749278, "grad_norm": 1.203125, "learning_rate": 7.61594383291065e-06, "loss": 0.64750757, "memory(GiB)": 150.98, "step": 170, "train_speed(iter/s)": 0.048108 }, { "acc": 0.82297211, "epoch": 0.8087810514153668, "grad_norm": 1.1484375, "learning_rate": 7.441339881647654e-06, "loss": 0.62678857, "memory(GiB)": 150.98, "step": 175, "train_speed(iter/s)": 0.048123 }, { "acc": 0.82202625, "epoch": 0.8318890814558059, "grad_norm": 1.2109375, "learning_rate": 7.262735145222696e-06, "loss": 0.63359532, "memory(GiB)": 150.98, "step": 180, "train_speed(iter/s)": 0.04815 }, { "acc": 0.81521053, "epoch": 0.8549971114962449, "grad_norm": 1.3984375, "learning_rate": 7.080422315032298e-06, "loss": 0.66546955, "memory(GiB)": 150.98, "step": 185, "train_speed(iter/s)": 0.048203 }, { "acc": 0.83204832, "epoch": 0.878105141536684, "grad_norm": 1.3203125, "learning_rate": 6.894700159171535e-06, "loss": 0.60190206, "memory(GiB)": 150.98, "step": 190, "train_speed(iter/s)": 0.04822 }, { "acc": 0.81509237, "epoch": 0.901213171577123, "grad_norm": 1.15625, "learning_rate": 6.705873032822981e-06, "loss": 0.71670413, "memory(GiB)": 150.98, "step": 195, "train_speed(iter/s)": 0.048127 }, { "acc": 0.82601328, "epoch": 0.9243212016175621, "grad_norm": 1.3984375, "learning_rate": 6.514250379489754e-06, "loss": 0.55743012, "memory(GiB)": 150.98, "step": 200, "train_speed(iter/s)": 0.048221 }, { "epoch": 0.9243212016175621, "eval_acc": 0.7485949746717407, "eval_loss": 0.6565380096435547, "eval_runtime": 11.0891, "eval_samples_per_second": 12.445, "eval_steps_per_second": 12.445, "step": 200 }, { "acc": 0.82308855, "epoch": 0.9474292316580012, "grad_norm": 1.4375, "learning_rate": 6.320146223889966e-06, "loss": 0.63252063, "memory(GiB)": 150.98, "step": 205, "train_speed(iter/s)": 0.046847 }, { "acc": 0.82361374, "epoch": 0.9705372616984402, "grad_norm": 1.421875, "learning_rate": 6.123878657343648e-06, "loss": 0.59042826, "memory(GiB)": 150.98, "step": 210, "train_speed(iter/s)": 0.046942 }, { "acc": 0.82532425, "epoch": 0.9936452917388793, "grad_norm": 0.98828125, "learning_rate": 5.925769316495461e-06, "loss": 0.60934105, "memory(GiB)": 150.98, "step": 215, "train_speed(iter/s)": 0.046992 }, { "acc": 0.83245983, "epoch": 1.0167533217793183, "grad_norm": 1.1953125, "learning_rate": 5.726142856227453e-06, "loss": 0.65204225, "memory(GiB)": 150.98, "step": 220, "train_speed(iter/s)": 0.046872 }, { "acc": 0.83649168, "epoch": 1.0398613518197575, "grad_norm": 1.2109375, "learning_rate": 5.52532641762562e-06, "loss": 0.66422782, "memory(GiB)": 150.98, "step": 225, "train_speed(iter/s)": 0.046806 }, { "acc": 0.83163223, "epoch": 1.0629693818601964, "grad_norm": 1.140625, "learning_rate": 5.323649091872179e-06, "loss": 0.60072503, "memory(GiB)": 150.98, "step": 230, "train_speed(iter/s)": 0.046824 }, { "acc": 0.83812866, "epoch": 1.0860774119006356, "grad_norm": 1.25, "learning_rate": 5.121441380942066e-06, "loss": 0.58486128, "memory(GiB)": 150.98, "step": 235, "train_speed(iter/s)": 0.046865 }, { "acc": 0.82630444, "epoch": 1.1091854419410745, "grad_norm": 1.1328125, "learning_rate": 4.919034655987493e-06, "loss": 0.64795966, "memory(GiB)": 150.98, "step": 240, "train_speed(iter/s)": 0.046852 }, { "acc": 0.83698711, "epoch": 1.1322934719815136, "grad_norm": 1.4375, "learning_rate": 4.716760614298118e-06, "loss": 0.5604661, "memory(GiB)": 150.98, "step": 245, "train_speed(iter/s)": 0.046935 }, { "acc": 0.82200708, "epoch": 1.1554015020219526, "grad_norm": 1.2265625, "learning_rate": 4.51495073572676e-06, "loss": 0.65722399, "memory(GiB)": 150.98, "step": 250, "train_speed(iter/s)": 0.046964 }, { "acc": 0.83468876, "epoch": 1.1785095320623917, "grad_norm": 1.125, "learning_rate": 4.313935739471425e-06, "loss": 0.58888826, "memory(GiB)": 150.98, "step": 255, "train_speed(iter/s)": 0.046962 }, { "acc": 0.82915096, "epoch": 1.2016175621028307, "grad_norm": 1.4296875, "learning_rate": 4.1140450421038865e-06, "loss": 0.64913301, "memory(GiB)": 150.98, "step": 260, "train_speed(iter/s)": 0.04701 }, { "acc": 0.8357687, "epoch": 1.2247255921432698, "grad_norm": 1.2578125, "learning_rate": 3.9156062177329624e-06, "loss": 0.58918366, "memory(GiB)": 150.98, "step": 265, "train_speed(iter/s)": 0.04707 }, { "acc": 0.83036833, "epoch": 1.2478336221837087, "grad_norm": 1.203125, "learning_rate": 3.7189444611871383e-06, "loss": 0.60051751, "memory(GiB)": 150.98, "step": 270, "train_speed(iter/s)": 0.047112 }, { "acc": 0.8339922, "epoch": 1.270941652224148, "grad_norm": 1.3671875, "learning_rate": 3.524382055096309e-06, "loss": 0.55478253, "memory(GiB)": 150.98, "step": 275, "train_speed(iter/s)": 0.047186 }, { "acc": 0.83721056, "epoch": 1.2940496822645868, "grad_norm": 1.1328125, "learning_rate": 3.3322378417458985e-06, "loss": 0.59262004, "memory(GiB)": 150.98, "step": 280, "train_speed(iter/s)": 0.047233 }, { "acc": 0.82519064, "epoch": 1.317157712305026, "grad_norm": 1.171875, "learning_rate": 3.1428267005689182e-06, "loss": 0.68231759, "memory(GiB)": 150.98, "step": 285, "train_speed(iter/s)": 0.047214 }, { "acc": 0.83670778, "epoch": 1.3402657423454651, "grad_norm": 1.203125, "learning_rate": 2.9564590321322206e-06, "loss": 0.54285073, "memory(GiB)": 150.98, "step": 290, "train_speed(iter/s)": 0.047272 }, { "acc": 0.8335681, "epoch": 1.363373772385904, "grad_norm": 1.1953125, "learning_rate": 2.7734402494625395e-06, "loss": 0.60112472, "memory(GiB)": 150.98, "step": 295, "train_speed(iter/s)": 0.04725 }, { "acc": 0.83400679, "epoch": 1.3864818024263432, "grad_norm": 1.1328125, "learning_rate": 2.594070277545975e-06, "loss": 0.61252079, "memory(GiB)": 150.98, "step": 300, "train_speed(iter/s)": 0.047279 }, { "acc": 0.83710117, "epoch": 1.4095898324667822, "grad_norm": 1.2109375, "learning_rate": 2.4186430618210704e-06, "loss": 0.53748951, "memory(GiB)": 150.98, "step": 305, "train_speed(iter/s)": 0.047266 }, { "acc": 0.8276473, "epoch": 1.4326978625072213, "grad_norm": 1.3125, "learning_rate": 2.2474460864709825e-06, "loss": 0.6252665, "memory(GiB)": 150.98, "step": 310, "train_speed(iter/s)": 0.04732 }, { "acc": 0.83237705, "epoch": 1.4558058925476602, "grad_norm": 1.1328125, "learning_rate": 2.0807599033041238e-06, "loss": 0.63391018, "memory(GiB)": 150.98, "step": 315, "train_speed(iter/s)": 0.04733 }, { "acc": 0.83387976, "epoch": 1.4789139225880994, "grad_norm": 1.046875, "learning_rate": 1.9188576719953635e-06, "loss": 0.63072858, "memory(GiB)": 150.98, "step": 320, "train_speed(iter/s)": 0.047302 }, { "acc": 0.83439655, "epoch": 1.5020219526285383, "grad_norm": 1.2265625, "learning_rate": 1.7620047124412e-06, "loss": 0.615345, "memory(GiB)": 150.98, "step": 325, "train_speed(iter/s)": 0.04731 }, { "acc": 0.83732977, "epoch": 1.5251299826689775, "grad_norm": 1.3671875, "learning_rate": 1.6104580699624839e-06, "loss": 0.57706161, "memory(GiB)": 150.98, "step": 330, "train_speed(iter/s)": 0.04735 }, { "acc": 0.82502375, "epoch": 1.5482380127094166, "grad_norm": 1.2578125, "learning_rate": 1.4644660940672628e-06, "loss": 0.68620262, "memory(GiB)": 150.98, "step": 335, "train_speed(iter/s)": 0.047298 }, { "acc": 0.83036242, "epoch": 1.5713460427498556, "grad_norm": 1.1015625, "learning_rate": 1.3242680314639995e-06, "loss": 0.65163517, "memory(GiB)": 150.98, "step": 340, "train_speed(iter/s)": 0.047314 }, { "acc": 0.82439814, "epoch": 1.5944540727902945, "grad_norm": 1.140625, "learning_rate": 1.1900936339921692e-06, "loss": 0.64395781, "memory(GiB)": 150.98, "step": 345, "train_speed(iter/s)": 0.04733 }, { "acc": 0.83437843, "epoch": 1.6175621028307337, "grad_norm": 1.28125, "learning_rate": 1.062162782112729e-06, "loss": 0.58336234, "memory(GiB)": 150.98, "step": 350, "train_speed(iter/s)": 0.047379 }, { "acc": 0.83543835, "epoch": 1.6406701328711728, "grad_norm": 1.1640625, "learning_rate": 9.406851245754478e-07, "loss": 0.6100008, "memory(GiB)": 150.98, "step": 355, "train_speed(iter/s)": 0.047394 }, { "acc": 0.82420549, "epoch": 1.6637781629116117, "grad_norm": 1.3515625, "learning_rate": 8.258597348536452e-07, "loss": 0.67773538, "memory(GiB)": 150.98, "step": 360, "train_speed(iter/s)": 0.047419 }, { "acc": 0.83056965, "epoch": 1.686886192952051, "grad_norm": 1.1484375, "learning_rate": 7.178747849093093e-07, "loss": 0.63277826, "memory(GiB)": 150.98, "step": 365, "train_speed(iter/s)": 0.047439 }, { "acc": 0.83617363, "epoch": 1.7099942229924898, "grad_norm": 1.28125, "learning_rate": 6.16907236823262e-07, "loss": 0.58432493, "memory(GiB)": 150.98, "step": 370, "train_speed(iter/s)": 0.04747 }, { "acc": 0.82903013, "epoch": 1.733102253032929, "grad_norm": 1.1640625, "learning_rate": 5.231225527956924e-07, "loss": 0.6580874, "memory(GiB)": 150.98, "step": 375, "train_speed(iter/s)": 0.047437 }, { "acc": 0.83327017, "epoch": 1.7562102830733681, "grad_norm": 1.1328125, "learning_rate": 4.3667442399229985e-07, "loss": 0.58462934, "memory(GiB)": 150.98, "step": 380, "train_speed(iter/s)": 0.047468 }, { "acc": 0.83651209, "epoch": 1.779318313113807, "grad_norm": 1.125, "learning_rate": 3.577045186804118e-07, "loss": 0.58018489, "memory(GiB)": 150.98, "step": 385, "train_speed(iter/s)": 0.047511 }, { "acc": 0.82789068, "epoch": 1.802426343154246, "grad_norm": 1.0703125, "learning_rate": 2.8634225006782867e-07, "loss": 0.67336974, "memory(GiB)": 150.98, "step": 390, "train_speed(iter/s)": 0.047483 }, { "acc": 0.84120426, "epoch": 1.8255343731946851, "grad_norm": 1.2109375, "learning_rate": 2.2270456422483655e-07, "loss": 0.58580966, "memory(GiB)": 150.98, "step": 395, "train_speed(iter/s)": 0.047495 }, { "acc": 0.82003698, "epoch": 1.8486424032351243, "grad_norm": 1.125, "learning_rate": 1.6689574843694433e-07, "loss": 0.77600121, "memory(GiB)": 150.98, "step": 400, "train_speed(iter/s)": 0.04747 }, { "epoch": 1.8486424032351243, "eval_acc": 0.7489352050202878, "eval_loss": 0.6084072589874268, "eval_runtime": 11.0063, "eval_samples_per_second": 12.538, "eval_steps_per_second": 12.538, "step": 400 }, { "acc": 0.83795338, "epoch": 1.8717504332755632, "grad_norm": 1.3671875, "learning_rate": 1.1900726030241005e-07, "loss": 0.57120104, "memory(GiB)": 150.98, "step": 405, "train_speed(iter/s)": 0.046796 }, { "acc": 0.82940121, "epoch": 1.8948584633160022, "grad_norm": 1.2109375, "learning_rate": 7.911757785462882e-08, "loss": 0.63004894, "memory(GiB)": 150.98, "step": 410, "train_speed(iter/s)": 0.046799 }, { "acc": 0.82601376, "epoch": 1.9179664933564413, "grad_norm": 1.3125, "learning_rate": 4.729207095498345e-08, "loss": 0.5973454, "memory(GiB)": 150.98, "step": 415, "train_speed(iter/s)": 0.046849 }, { "acc": 0.83928432, "epoch": 1.9410745233968805, "grad_norm": 1.2578125, "learning_rate": 2.358289416693027e-08, "loss": 0.57047229, "memory(GiB)": 150.98, "step": 420, "train_speed(iter/s)": 0.046875 }, { "acc": 0.83347263, "epoch": 1.9641825534373196, "grad_norm": 1.1171875, "learning_rate": 8.02890128686562e-09, "loss": 0.56035862, "memory(GiB)": 150.98, "step": 425, "train_speed(iter/s)": 0.046877 }, { "acc": 0.83463163, "epoch": 1.9872905834777586, "grad_norm": 1.28125, "learning_rate": 6.555816718389896e-10, "loss": 0.57831531, "memory(GiB)": 150.98, "step": 430, "train_speed(iter/s)": 0.046917 }, { "epoch": 1.9965337954939342, "eval_acc": 0.7487839915320447, "eval_loss": 0.596267580986023, "eval_runtime": 11.0681, "eval_samples_per_second": 12.468, "eval_steps_per_second": 12.468, "step": 432 } ], "logging_steps": 5, "max_steps": 432, "num_input_tokens_seen": 0, "num_train_epochs": 2, "save_steps": 200, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": true }, "attributes": {} } }, "total_flos": 8.150084761585428e+17, "train_batch_size": 1, "trial_name": null, "trial_params": null }