diff --git "a/checkpoint-1000/trainer_state.json" "b/checkpoint-1000/trainer_state.json"
new file mode 100644--- /dev/null
+++ "b/checkpoint-1000/trainer_state.json"
@@ -0,0 +1,7033 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.0002813291238162,
+  "eval_steps": 500,
+  "global_step": 1000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.001000281329123816,
+      "grad_norm": 5.902005195617676,
+      "learning_rate": 0.0001999999450590425,
+      "loss": 3.1875,
+      "step": 1
+    },
+    {
+      "epoch": 0.002000562658247632,
+      "grad_norm": 3.2577760219573975,
+      "learning_rate": 0.00019999978023623033,
+      "loss": 2.3666,
+      "step": 2
+    },
+    {
+      "epoch": 0.003000843987371448,
+      "grad_norm": 5.3700995445251465,
+      "learning_rate": 0.0001999995055317446,
+      "loss": 2.8282,
+      "step": 3
+    },
+    {
+      "epoch": 0.004001125316495264,
+      "grad_norm": 2.1445534229278564,
+      "learning_rate": 0.00019999912094588717,
+      "loss": 2.2322,
+      "step": 4
+    },
+    {
+      "epoch": 0.005001406645619081,
+      "grad_norm": 1.5143821239471436,
+      "learning_rate": 0.00019999862647908064,
+      "loss": 2.1709,
+      "step": 5
+    },
+    {
+      "epoch": 0.006001687974742896,
+      "grad_norm": 2.0491714477539062,
+      "learning_rate": 0.00019999802213186834,
+      "loss": 2.2863,
+      "step": 6
+    },
+    {
+      "epoch": 0.007001969303866712,
+      "grad_norm": 1.2016857862472534,
+      "learning_rate": 0.0001999973079049143,
+      "loss": 1.5595,
+      "step": 7
+    },
+    {
+      "epoch": 0.008002250632990529,
+      "grad_norm": 1.3860406875610352,
+      "learning_rate": 0.00019999648379900338,
+      "loss": 1.7264,
+      "step": 8
+    },
+    {
+      "epoch": 0.009002531962114344,
+      "grad_norm": 1.0861930847167969,
+      "learning_rate": 0.0001999955498150411,
+      "loss": 2.0533,
+      "step": 9
+    },
+    {
+      "epoch": 0.010002813291238161,
+      "grad_norm": 2.233243703842163,
+      "learning_rate": 0.00019999450595405374,
+      "loss": 1.9378,
+      "step": 10
+    },
+    {
+      "epoch": 0.011003094620361977,
+      "grad_norm": 1.302808165550232,
+      "learning_rate": 0.0001999933522171883,
+      "loss": 1.9182,
+      "step": 11
+    },
+    {
+      "epoch": 0.012003375949485792,
+      "grad_norm": 0.8285257816314697,
+      "learning_rate": 0.00019999208860571255,
+      "loss": 1.9146,
+      "step": 12
+    },
+    {
+      "epoch": 0.01300365727860961,
+      "grad_norm": 1.2248319387435913,
+      "learning_rate": 0.00019999071512101496,
+      "loss": 1.7467,
+      "step": 13
+    },
+    {
+      "epoch": 0.014003938607733425,
+      "grad_norm": 0.8307135105133057,
+      "learning_rate": 0.00019998923176460474,
+      "loss": 1.6896,
+      "step": 14
+    },
+    {
+      "epoch": 0.01500421993685724,
+      "grad_norm": 1.1531301736831665,
+      "learning_rate": 0.00019998763853811184,
+      "loss": 1.7549,
+      "step": 15
+    },
+    {
+      "epoch": 0.016004501265981057,
+      "grad_norm": 1.0071958303451538,
+      "learning_rate": 0.00019998593544328692,
+      "loss": 1.903,
+      "step": 16
+    },
+    {
+      "epoch": 0.017004782595104875,
+      "grad_norm": 0.9111937284469604,
+      "learning_rate": 0.00019998412248200138,
+      "loss": 1.8372,
+      "step": 17
+    },
+    {
+      "epoch": 0.01800506392422869,
+      "grad_norm": 0.9943836331367493,
+      "learning_rate": 0.00019998219965624734,
+      "loss": 1.7304,
+      "step": 18
+    },
+    {
+      "epoch": 0.019005345253352506,
+      "grad_norm": 0.8139007687568665,
+      "learning_rate": 0.0001999801669681376,
+      "loss": 1.6932,
+      "step": 19
+    },
+    {
+      "epoch": 0.020005626582476323,
+      "grad_norm": 0.7991273999214172,
+      "learning_rate": 0.00019997802441990573,
+      "loss": 1.9596,
+      "step": 20
+    },
+    {
+      "epoch": 0.021005907911600136,
+      "grad_norm": 0.832266628742218,
+      "learning_rate": 0.00019997577201390606,
+      "loss": 1.7116,
+      "step": 21
+    },
+    {
+      "epoch": 0.022006189240723954,
+      "grad_norm": 0.8465655446052551,
+      "learning_rate": 0.00019997340975261353,
+      "loss": 1.7711,
+      "step": 22
+    },
+    {
+      "epoch": 0.02300647056984777,
+      "grad_norm": 1.032426118850708,
+      "learning_rate": 0.00019997093763862383,
+      "loss": 1.6746,
+      "step": 23
+    },
+    {
+      "epoch": 0.024006751898971584,
+      "grad_norm": 1.0036743879318237,
+      "learning_rate": 0.0001999683556746534,
+      "loss": 1.7274,
+      "step": 24
+    },
+    {
+      "epoch": 0.0250070332280954,
+      "grad_norm": 0.9491412043571472,
+      "learning_rate": 0.0001999656638635393,
+      "loss": 2.0302,
+      "step": 25
+    },
+    {
+      "epoch": 0.02600731455721922,
+      "grad_norm": 0.9477822184562683,
+      "learning_rate": 0.0001999628622082394,
+      "loss": 1.6107,
+      "step": 26
+    },
+    {
+      "epoch": 0.027007595886343033,
+      "grad_norm": 1.0687041282653809,
+      "learning_rate": 0.0001999599507118322,
+      "loss": 1.8225,
+      "step": 27
+    },
+    {
+      "epoch": 0.02800787721546685,
+      "grad_norm": 1.6572712659835815,
+      "learning_rate": 0.00019995692937751683,
+      "loss": 1.896,
+      "step": 28
+    },
+    {
+      "epoch": 0.029008158544590667,
+      "grad_norm": 1.013258695602417,
+      "learning_rate": 0.0001999537982086133,
+      "loss": 1.7847,
+      "step": 29
+    },
+    {
+      "epoch": 0.03000843987371448,
+      "grad_norm": 0.7584932446479797,
+      "learning_rate": 0.00019995055720856218,
+      "loss": 1.5841,
+      "step": 30
+    },
+    {
+      "epoch": 0.031008721202838298,
+      "grad_norm": 1.1543537378311157,
+      "learning_rate": 0.00019994720638092468,
+      "loss": 1.8362,
+      "step": 31
+    },
+    {
+      "epoch": 0.032009002531962115,
+      "grad_norm": 0.8389608860015869,
+      "learning_rate": 0.00019994374572938277,
+      "loss": 1.7913,
+      "step": 32
+    },
+    {
+      "epoch": 0.03300928386108593,
+      "grad_norm": 0.7582125663757324,
+      "learning_rate": 0.00019994017525773913,
+      "loss": 1.5406,
+      "step": 33
+    },
+    {
+      "epoch": 0.03400956519020975,
+      "grad_norm": 0.7866935133934021,
+      "learning_rate": 0.00019993649496991705,
+      "loss": 1.5363,
+      "step": 34
+    },
+    {
+      "epoch": 0.03500984651933356,
+      "grad_norm": 0.8007768988609314,
+      "learning_rate": 0.00019993270486996046,
+      "loss": 1.7597,
+      "step": 35
+    },
+    {
+      "epoch": 0.03601012784845738,
+      "grad_norm": 0.8109031319618225,
+      "learning_rate": 0.000199928804962034,
+      "loss": 1.5554,
+      "step": 36
+    },
+    {
+      "epoch": 0.037010409177581194,
+      "grad_norm": 0.7722628116607666,
+      "learning_rate": 0.00019992479525042303,
+      "loss": 1.6437,
+      "step": 37
+    },
+    {
+      "epoch": 0.03801069050670501,
+      "grad_norm": 0.7336480021476746,
+      "learning_rate": 0.00019992067573953342,
+      "loss": 1.7276,
+      "step": 38
+    },
+    {
+      "epoch": 0.03901097183582883,
+      "grad_norm": 0.6940280795097351,
+      "learning_rate": 0.0001999164464338918,
+      "loss": 1.846,
+      "step": 39
+    },
+    {
+      "epoch": 0.040011253164952645,
+      "grad_norm": 0.7079702615737915,
+      "learning_rate": 0.0001999121073381454,
+      "loss": 1.7017,
+      "step": 40
+    },
+    {
+      "epoch": 0.041011534494076456,
+      "grad_norm": 0.7438498139381409,
+      "learning_rate": 0.0001999076584570621,
+      "loss": 1.665,
+      "step": 41
+    },
+    {
+      "epoch": 0.04201181582320027,
+      "grad_norm": 0.6951525211334229,
+      "learning_rate": 0.00019990309979553045,
+      "loss": 1.588,
+      "step": 42
+    },
+    {
+      "epoch": 0.04301209715232409,
+      "grad_norm": 0.9398604035377502,
+      "learning_rate": 0.00019989843135855958,
+      "loss": 1.6513,
+      "step": 43
+    },
+    {
+      "epoch": 0.04401237848144791,
+      "grad_norm": 0.7384347319602966,
+      "learning_rate": 0.00019989365315127922,
+      "loss": 1.5975,
+      "step": 44
+    },
+    {
+      "epoch": 0.045012659810571724,
+      "grad_norm": 0.9856846332550049,
+      "learning_rate": 0.0001998887651789398,
+      "loss": 1.644,
+      "step": 45
+    },
+    {
+      "epoch": 0.04601294113969554,
+      "grad_norm": 0.7322820425033569,
+      "learning_rate": 0.0001998837674469123,
+      "loss": 1.5207,
+      "step": 46
+    },
+    {
+      "epoch": 0.04701322246881936,
+      "grad_norm": 0.8695257902145386,
+      "learning_rate": 0.00019987865996068833,
+      "loss": 1.5572,
+      "step": 47
+    },
+    {
+      "epoch": 0.04801350379794317,
+      "grad_norm": 0.7231017351150513,
+      "learning_rate": 0.00019987344272588006,
+      "loss": 1.5841,
+      "step": 48
+    },
+    {
+      "epoch": 0.049013785127066986,
+      "grad_norm": 0.7147384285926819,
+      "learning_rate": 0.00019986811574822033,
+      "loss": 1.8628,
+      "step": 49
+    },
+    {
+      "epoch": 0.0500140664561908,
+      "grad_norm": 0.8631477355957031,
+      "learning_rate": 0.00019986267903356254,
+      "loss": 1.8487,
+      "step": 50
+    },
+    {
+      "epoch": 0.05101434778531462,
+      "grad_norm": 0.7995486855506897,
+      "learning_rate": 0.0001998571325878806,
+      "loss": 1.6491,
+      "step": 51
+    },
+    {
+      "epoch": 0.05201462911443844,
+      "grad_norm": 0.7828657031059265,
+      "learning_rate": 0.0001998514764172691,
+      "loss": 1.7496,
+      "step": 52
+    },
+    {
+      "epoch": 0.053014910443562255,
+      "grad_norm": 0.7789833545684814,
+      "learning_rate": 0.00019984571052794313,
+      "loss": 1.6628,
+      "step": 53
+    },
+    {
+      "epoch": 0.054015191772686065,
+      "grad_norm": 0.7077661752700806,
+      "learning_rate": 0.00019983983492623833,
+      "loss": 1.771,
+      "step": 54
+    },
+    {
+      "epoch": 0.05501547310180988,
+      "grad_norm": 0.7939582467079163,
+      "learning_rate": 0.00019983384961861096,
+      "loss": 1.707,
+      "step": 55
+    },
+    {
+      "epoch": 0.0560157544309337,
+      "grad_norm": 0.9438828229904175,
+      "learning_rate": 0.0001998277546116378,
+      "loss": 1.8334,
+      "step": 56
+    },
+    {
+      "epoch": 0.05701603576005752,
+      "grad_norm": 0.8028286695480347,
+      "learning_rate": 0.00019982154991201608,
+      "loss": 1.9117,
+      "step": 57
+    },
+    {
+      "epoch": 0.058016317089181334,
+      "grad_norm": 0.6563037037849426,
+      "learning_rate": 0.00019981523552656377,
+      "loss": 1.4767,
+      "step": 58
+    },
+    {
+      "epoch": 0.05901659841830515,
+      "grad_norm": 0.6600964665412903,
+      "learning_rate": 0.00019980881146221914,
+      "loss": 1.6656,
+      "step": 59
+    },
+    {
+      "epoch": 0.06001687974742896,
+      "grad_norm": 0.7966578602790833,
+      "learning_rate": 0.00019980227772604112,
+      "loss": 1.4844,
+      "step": 60
+    },
+    {
+      "epoch": 0.06101716107655278,
+      "grad_norm": 0.8019976615905762,
+      "learning_rate": 0.0001997956343252091,
+      "loss": 1.5682,
+      "step": 61
+    },
+    {
+      "epoch": 0.062017442405676595,
+      "grad_norm": 0.8935349583625793,
+      "learning_rate": 0.00019978888126702296,
+      "loss": 1.8131,
+      "step": 62
+    },
+    {
+      "epoch": 0.06301772373480041,
+      "grad_norm": 0.8085179924964905,
+      "learning_rate": 0.00019978201855890308,
+      "loss": 1.5602,
+      "step": 63
+    },
+    {
+      "epoch": 0.06401800506392423,
+      "grad_norm": 0.7631951570510864,
+      "learning_rate": 0.00019977504620839035,
+      "loss": 1.8008,
+      "step": 64
+    },
+    {
+      "epoch": 0.06501828639304805,
+      "grad_norm": 0.7315165996551514,
+      "learning_rate": 0.00019976796422314615,
+      "loss": 1.5735,
+      "step": 65
+    },
+    {
+      "epoch": 0.06601856772217186,
+      "grad_norm": 0.745726466178894,
+      "learning_rate": 0.00019976077261095226,
+      "loss": 1.5775,
+      "step": 66
+    },
+    {
+      "epoch": 0.06701884905129568,
+      "grad_norm": 0.9082249999046326,
+      "learning_rate": 0.00019975347137971098,
+      "loss": 1.7427,
+      "step": 67
+    },
+    {
+      "epoch": 0.0680191303804195,
+      "grad_norm": 0.6575669050216675,
+      "learning_rate": 0.00019974606053744503,
+      "loss": 1.5231,
+      "step": 68
+    },
+    {
+      "epoch": 0.06901941170954332,
+      "grad_norm": 0.7749233245849609,
+      "learning_rate": 0.00019973854009229763,
+      "loss": 1.5703,
+      "step": 69
+    },
+    {
+      "epoch": 0.07001969303866712,
+      "grad_norm": 0.7240824699401855,
+      "learning_rate": 0.00019973091005253232,
+      "loss": 1.5197,
+      "step": 70
+    },
+    {
+      "epoch": 0.07101997436779094,
+      "grad_norm": 0.8683856725692749,
+      "learning_rate": 0.0001997231704265332,
+      "loss": 1.6183,
+      "step": 71
+    },
+    {
+      "epoch": 0.07202025569691475,
+      "grad_norm": 0.6885640621185303,
+      "learning_rate": 0.00019971532122280464,
+      "loss": 1.6565,
+      "step": 72
+    },
+    {
+      "epoch": 0.07302053702603857,
+      "grad_norm": 0.6648329496383667,
+      "learning_rate": 0.0001997073624499716,
+      "loss": 1.5943,
+      "step": 73
+    },
+    {
+      "epoch": 0.07402081835516239,
+      "grad_norm": 0.8867416977882385,
+      "learning_rate": 0.0001996992941167792,
+      "loss": 1.7855,
+      "step": 74
+    },
+    {
+      "epoch": 0.0750210996842862,
+      "grad_norm": 0.7790491580963135,
+      "learning_rate": 0.00019969111623209323,
+      "loss": 1.6723,
+      "step": 75
+    },
+    {
+      "epoch": 0.07602138101341002,
+      "grad_norm": 0.7999201416969299,
+      "learning_rate": 0.00019968282880489957,
+      "loss": 1.5619,
+      "step": 76
+    },
+    {
+      "epoch": 0.07702166234253384,
+      "grad_norm": 0.6316407322883606,
+      "learning_rate": 0.00019967443184430467,
+      "loss": 1.6377,
+      "step": 77
+    },
+    {
+      "epoch": 0.07802194367165766,
+      "grad_norm": 0.7680445313453674,
+      "learning_rate": 0.0001996659253595353,
+      "loss": 1.5433,
+      "step": 78
+    },
+    {
+      "epoch": 0.07902222500078147,
+      "grad_norm": 0.7158446907997131,
+      "learning_rate": 0.0001996573093599385,
+      "loss": 1.5436,
+      "step": 79
+    },
+    {
+      "epoch": 0.08002250632990529,
+      "grad_norm": 0.7354825139045715,
+      "learning_rate": 0.00019964858385498172,
+      "loss": 1.6512,
+      "step": 80
+    },
+    {
+      "epoch": 0.08102278765902911,
+      "grad_norm": 0.7031210660934448,
+      "learning_rate": 0.00019963974885425266,
+      "loss": 1.6411,
+      "step": 81
+    },
+    {
+      "epoch": 0.08202306898815291,
+      "grad_norm": 0.8451045751571655,
+      "learning_rate": 0.00019963080436745945,
+      "loss": 1.6622,
+      "step": 82
+    },
+    {
+      "epoch": 0.08302335031727673,
+      "grad_norm": 0.8329521417617798,
+      "learning_rate": 0.00019962175040443044,
+      "loss": 1.9269,
+      "step": 83
+    },
+    {
+      "epoch": 0.08402363164640055,
+      "grad_norm": 0.6967645883560181,
+      "learning_rate": 0.0001996125869751143,
+      "loss": 1.7243,
+      "step": 84
+    },
+    {
+      "epoch": 0.08502391297552436,
+      "grad_norm": 0.8699042797088623,
+      "learning_rate": 0.00019960331408957997,
+      "loss": 1.7211,
+      "step": 85
+    },
+    {
+      "epoch": 0.08602419430464818,
+      "grad_norm": 0.6780512928962708,
+      "learning_rate": 0.00019959393175801671,
+      "loss": 1.6376,
+      "step": 86
+    },
+    {
+      "epoch": 0.087024475633772,
+      "grad_norm": 0.7213720679283142,
+      "learning_rate": 0.00019958443999073397,
+      "loss": 1.6048,
+      "step": 87
+    },
+    {
+      "epoch": 0.08802475696289581,
+      "grad_norm": 0.6077585816383362,
+      "learning_rate": 0.00019957483879816151,
+      "loss": 1.5231,
+      "step": 88
+    },
+    {
+      "epoch": 0.08902503829201963,
+      "grad_norm": 0.6854611039161682,
+      "learning_rate": 0.00019956512819084928,
+      "loss": 1.4726,
+      "step": 89
+    },
+    {
+      "epoch": 0.09002531962114345,
+      "grad_norm": 0.6969390511512756,
+      "learning_rate": 0.00019955530817946748,
+      "loss": 1.6435,
+      "step": 90
+    },
+    {
+      "epoch": 0.09102560095026727,
+      "grad_norm": 0.7178792953491211,
+      "learning_rate": 0.00019954537877480655,
+      "loss": 1.6967,
+      "step": 91
+    },
+    {
+      "epoch": 0.09202588227939108,
+      "grad_norm": 0.8248458504676819,
+      "learning_rate": 0.00019953533998777706,
+      "loss": 1.5884,
+      "step": 92
+    },
+    {
+      "epoch": 0.0930261636085149,
+      "grad_norm": 0.6472075581550598,
+      "learning_rate": 0.00019952519182940993,
+      "loss": 1.5074,
+      "step": 93
+    },
+    {
+      "epoch": 0.09402644493763872,
+      "grad_norm": 0.7548672556877136,
+      "learning_rate": 0.00019951493431085603,
+      "loss": 1.6934,
+      "step": 94
+    },
+    {
+      "epoch": 0.09502672626676252,
+      "grad_norm": 0.6680666208267212,
+      "learning_rate": 0.00019950456744338658,
+      "loss": 1.4014,
+      "step": 95
+    },
+    {
+      "epoch": 0.09602700759588634,
+      "grad_norm": 0.7270862460136414,
+      "learning_rate": 0.00019949409123839288,
+      "loss": 1.6991,
+      "step": 96
+    },
+    {
+      "epoch": 0.09702728892501016,
+      "grad_norm": 0.682833731174469,
+      "learning_rate": 0.00019948350570738642,
+      "loss": 1.4926,
+      "step": 97
+    },
+    {
+      "epoch": 0.09802757025413397,
+      "grad_norm": 0.6598315238952637,
+      "learning_rate": 0.0001994728108619987,
+      "loss": 1.6329,
+      "step": 98
+    },
+    {
+      "epoch": 0.09902785158325779,
+      "grad_norm": 0.830845832824707,
+      "learning_rate": 0.0001994620067139815,
+      "loss": 1.8517,
+      "step": 99
+    },
+    {
+      "epoch": 0.1000281329123816,
+      "grad_norm": 0.6964694857597351,
+      "learning_rate": 0.00019945109327520658,
+      "loss": 1.5459,
+      "step": 100
+    },
+    {
+      "epoch": 0.10102841424150542,
+      "grad_norm": 0.8640177249908447,
+      "learning_rate": 0.00019944007055766586,
+      "loss": 1.6638,
+      "step": 101
+    },
+    {
+      "epoch": 0.10202869557062924,
+      "grad_norm": 0.6485210657119751,
+      "learning_rate": 0.00019942893857347128,
+      "loss": 1.8025,
+      "step": 102
+    },
+    {
+      "epoch": 0.10302897689975306,
+      "grad_norm": 0.6746248006820679,
+      "learning_rate": 0.00019941769733485494,
+      "loss": 1.6954,
+      "step": 103
+    },
+    {
+      "epoch": 0.10402925822887688,
+      "grad_norm": 0.7386549115180969,
+      "learning_rate": 0.00019940634685416888,
+      "loss": 1.4547,
+      "step": 104
+    },
+    {
+      "epoch": 0.10502953955800069,
+      "grad_norm": 0.7518633008003235,
+      "learning_rate": 0.00019939488714388524,
+      "loss": 1.5098,
+      "step": 105
+    },
+    {
+      "epoch": 0.10602982088712451,
+      "grad_norm": 0.7350422739982605,
+      "learning_rate": 0.00019938331821659614,
+      "loss": 1.5452,
+      "step": 106
+    },
+    {
+      "epoch": 0.10703010221624833,
+      "grad_norm": 0.6544668674468994,
+      "learning_rate": 0.0001993716400850138,
+      "loss": 1.5106,
+      "step": 107
+    },
+    {
+      "epoch": 0.10803038354537213,
+      "grad_norm": 0.6108564138412476,
+      "learning_rate": 0.0001993598527619703,
+      "loss": 1.5818,
+      "step": 108
+    },
+    {
+      "epoch": 0.10903066487449595,
+      "grad_norm": 0.731071949005127,
+      "learning_rate": 0.00019934795626041783,
+      "loss": 1.4819,
+      "step": 109
+    },
+    {
+      "epoch": 0.11003094620361976,
+      "grad_norm": 0.5978986620903015,
+      "learning_rate": 0.0001993359505934285,
+      "loss": 1.5469,
+      "step": 110
+    },
+    {
+      "epoch": 0.11103122753274358,
+      "grad_norm": 0.7249881029129028,
+      "learning_rate": 0.00019932383577419432,
+      "loss": 1.7466,
+      "step": 111
+    },
+    {
+      "epoch": 0.1120315088618674,
+      "grad_norm": 0.6161806583404541,
+      "learning_rate": 0.0001993116118160273,
+      "loss": 1.3411,
+      "step": 112
+    },
+    {
+      "epoch": 0.11303179019099122,
+      "grad_norm": 0.6745229363441467,
+      "learning_rate": 0.00019929927873235938,
+      "loss": 1.5615,
+      "step": 113
+    },
+    {
+      "epoch": 0.11403207152011503,
+      "grad_norm": 0.6489872336387634,
+      "learning_rate": 0.00019928683653674237,
+      "loss": 1.6279,
+      "step": 114
+    },
+    {
+      "epoch": 0.11503235284923885,
+      "grad_norm": 0.7769975662231445,
+      "learning_rate": 0.00019927428524284805,
+      "loss": 1.6155,
+      "step": 115
+    },
+    {
+      "epoch": 0.11603263417836267,
+      "grad_norm": 0.734336793422699,
+      "learning_rate": 0.00019926162486446792,
+      "loss": 1.6837,
+      "step": 116
+    },
+    {
+      "epoch": 0.11703291550748648,
+      "grad_norm": 0.6966903805732727,
+      "learning_rate": 0.0001992488554155135,
+      "loss": 1.6659,
+      "step": 117
+    },
+    {
+      "epoch": 0.1180331968366103,
+      "grad_norm": 0.6714586615562439,
+      "learning_rate": 0.00019923597691001615,
+      "loss": 1.5161,
+      "step": 118
+    },
+    {
+      "epoch": 0.11903347816573412,
+      "grad_norm": 0.6390894651412964,
+      "learning_rate": 0.0001992229893621269,
+      "loss": 1.4561,
+      "step": 119
+    },
+    {
+      "epoch": 0.12003375949485792,
+      "grad_norm": 0.6481143832206726,
+      "learning_rate": 0.00019920989278611687,
+      "loss": 1.6331,
+      "step": 120
+    },
+    {
+      "epoch": 0.12103404082398174,
+      "grad_norm": 0.6819384694099426,
+      "learning_rate": 0.0001991966871963767,
+      "loss": 1.6508,
+      "step": 121
+    },
+    {
+      "epoch": 0.12203432215310556,
+      "grad_norm": 0.6839059591293335,
+      "learning_rate": 0.000199183372607417,
+      "loss": 1.6514,
+      "step": 122
+    },
+    {
+      "epoch": 0.12303460348222937,
+      "grad_norm": 0.6401050090789795,
+      "learning_rate": 0.0001991699490338681,
+      "loss": 1.8065,
+      "step": 123
+    },
+    {
+      "epoch": 0.12403488481135319,
+      "grad_norm": 0.6860588788986206,
+      "learning_rate": 0.00019915641649048005,
+      "loss": 1.7658,
+      "step": 124
+    },
+    {
+      "epoch": 0.12503516614047702,
+      "grad_norm": 0.6286434531211853,
+      "learning_rate": 0.0001991427749921227,
+      "loss": 1.7678,
+      "step": 125
+    },
+    {
+      "epoch": 0.12603544746960083,
+      "grad_norm": 0.6609922647476196,
+      "learning_rate": 0.00019912902455378556,
+      "loss": 1.4934,
+      "step": 126
+    },
+    {
+      "epoch": 0.12703572879872463,
+      "grad_norm": 0.7058399319648743,
+      "learning_rate": 0.00019911516519057788,
+      "loss": 1.6058,
+      "step": 127
+    },
+    {
+      "epoch": 0.12803601012784846,
+      "grad_norm": 0.6362051963806152,
+      "learning_rate": 0.00019910119691772863,
+      "loss": 1.502,
+      "step": 128
+    },
+    {
+      "epoch": 0.12903629145697226,
+      "grad_norm": 0.7493100762367249,
+      "learning_rate": 0.00019908711975058637,
+      "loss": 1.5287,
+      "step": 129
+    },
+    {
+      "epoch": 0.1300365727860961,
+      "grad_norm": 0.6492393612861633,
+      "learning_rate": 0.0001990729337046194,
+      "loss": 1.5716,
+      "step": 130
+    },
+    {
+      "epoch": 0.1310368541152199,
+      "grad_norm": 0.70331871509552,
+      "learning_rate": 0.0001990586387954156,
+      "loss": 1.5882,
+      "step": 131
+    },
+    {
+      "epoch": 0.13203713544434373,
+      "grad_norm": 0.7581572532653809,
+      "learning_rate": 0.00019904423503868247,
+      "loss": 1.7627,
+      "step": 132
+    },
+    {
+      "epoch": 0.13303741677346753,
+      "grad_norm": 0.7087228894233704,
+      "learning_rate": 0.00019902972245024715,
+      "loss": 1.6257,
+      "step": 133
+    },
+    {
+      "epoch": 0.13403769810259136,
+      "grad_norm": 0.7920627593994141,
+      "learning_rate": 0.00019901510104605637,
+      "loss": 1.572,
+      "step": 134
+    },
+    {
+      "epoch": 0.13503797943171517,
+      "grad_norm": 0.6869202256202698,
+      "learning_rate": 0.00019900037084217637,
+      "loss": 1.5478,
+      "step": 135
+    },
+    {
+      "epoch": 0.136038260760839,
+      "grad_norm": 0.6879409551620483,
+      "learning_rate": 0.00019898553185479303,
+      "loss": 1.3104,
+      "step": 136
+    },
+    {
+      "epoch": 0.1370385420899628,
+      "grad_norm": 0.6574143767356873,
+      "learning_rate": 0.00019897058410021167,
+      "loss": 1.7041,
+      "step": 137
+    },
+    {
+      "epoch": 0.13803882341908663,
+      "grad_norm": 0.7793259620666504,
+      "learning_rate": 0.00019895552759485722,
+      "loss": 1.5417,
+      "step": 138
+    },
+    {
+      "epoch": 0.13903910474821043,
+      "grad_norm": 0.6310438513755798,
+      "learning_rate": 0.00019894036235527395,
+      "loss": 1.4978,
+      "step": 139
+    },
+    {
+      "epoch": 0.14003938607733424,
+      "grad_norm": 0.6298012137413025,
+      "learning_rate": 0.00019892508839812584,
+      "loss": 1.5367,
+      "step": 140
+    },
+    {
+      "epoch": 0.14103966740645807,
+      "grad_norm": 0.5647856593132019,
+      "learning_rate": 0.00019890970574019617,
+      "loss": 1.537,
+      "step": 141
+    },
+    {
+      "epoch": 0.14203994873558187,
+      "grad_norm": 0.6491876244544983,
+      "learning_rate": 0.00019889421439838763,
+      "loss": 1.6992,
+      "step": 142
+    },
+    {
+      "epoch": 0.1430402300647057,
+      "grad_norm": 0.6574720144271851,
+      "learning_rate": 0.00019887861438972246,
+      "loss": 1.3837,
+      "step": 143
+    },
+    {
+      "epoch": 0.1440405113938295,
+      "grad_norm": 0.6267092227935791,
+      "learning_rate": 0.00019886290573134228,
+      "loss": 1.6307,
+      "step": 144
+    },
+    {
+      "epoch": 0.14504079272295334,
+      "grad_norm": 0.6785029172897339,
+      "learning_rate": 0.000198847088440508,
+      "loss": 1.574,
+      "step": 145
+    },
+    {
+      "epoch": 0.14604107405207714,
+      "grad_norm": 0.6218644380569458,
+      "learning_rate": 0.0001988311625346,
+      "loss": 1.4676,
+      "step": 146
+    },
+    {
+      "epoch": 0.14704135538120097,
+      "grad_norm": 0.6047986745834351,
+      "learning_rate": 0.00019881512803111796,
+      "loss": 1.4316,
+      "step": 147
+    },
+    {
+      "epoch": 0.14804163671032478,
+      "grad_norm": 0.7340937256813049,
+      "learning_rate": 0.00019879898494768093,
+      "loss": 1.5185,
+      "step": 148
+    },
+    {
+      "epoch": 0.1490419180394486,
+      "grad_norm": 0.5874620676040649,
+      "learning_rate": 0.00019878273330202717,
+      "loss": 1.5031,
+      "step": 149
+    },
+    {
+      "epoch": 0.1500421993685724,
+      "grad_norm": 0.6943556666374207,
+      "learning_rate": 0.00019876637311201433,
+      "loss": 1.7323,
+      "step": 150
+    },
+    {
+      "epoch": 0.15104248069769624,
+      "grad_norm": 0.6345832347869873,
+      "learning_rate": 0.00019874990439561934,
+      "loss": 1.4691,
+      "step": 151
+    },
+    {
+      "epoch": 0.15204276202682004,
+      "grad_norm": 0.7047753930091858,
+      "learning_rate": 0.0001987333271709383,
+      "loss": 1.5198,
+      "step": 152
+    },
+    {
+      "epoch": 0.15304304335594385,
+      "grad_norm": 0.6043322086334229,
+      "learning_rate": 0.00019871664145618657,
+      "loss": 1.5488,
+      "step": 153
+    },
+    {
+      "epoch": 0.15404332468506768,
+      "grad_norm": 0.5978446006774902,
+      "learning_rate": 0.00019869984726969878,
+      "loss": 1.4278,
+      "step": 154
+    },
+    {
+      "epoch": 0.15504360601419148,
+      "grad_norm": 0.6796436905860901,
+      "learning_rate": 0.00019868294462992866,
+      "loss": 1.5845,
+      "step": 155
+    },
+    {
+      "epoch": 0.1560438873433153,
+      "grad_norm": 0.7113372087478638,
+      "learning_rate": 0.00019866593355544922,
+      "loss": 1.7509,
+      "step": 156
+    },
+    {
+      "epoch": 0.15704416867243912,
+      "grad_norm": 0.5908107757568359,
+      "learning_rate": 0.00019864881406495246,
+      "loss": 1.5693,
+      "step": 157
+    },
+    {
+      "epoch": 0.15804445000156295,
+      "grad_norm": 0.7135252952575684,
+      "learning_rate": 0.00019863158617724967,
+      "loss": 1.6109,
+      "step": 158
+    },
+    {
+      "epoch": 0.15904473133068675,
+      "grad_norm": 0.5621710419654846,
+      "learning_rate": 0.00019861424991127115,
+      "loss": 1.5368,
+      "step": 159
+    },
+    {
+      "epoch": 0.16004501265981058,
+      "grad_norm": 0.6205443143844604,
+      "learning_rate": 0.00019859680528606637,
+      "loss": 1.5181,
+      "step": 160
+    },
+    {
+      "epoch": 0.16104529398893438,
+      "grad_norm": 0.6933260560035706,
+      "learning_rate": 0.00019857925232080373,
+      "loss": 1.4508,
+      "step": 161
+    },
+    {
+      "epoch": 0.16204557531805822,
+      "grad_norm": 0.6911661028862,
+      "learning_rate": 0.00019856159103477086,
+      "loss": 1.5423,
+      "step": 162
+    },
+    {
+      "epoch": 0.16304585664718202,
+      "grad_norm": 0.7684744000434875,
+      "learning_rate": 0.00019854382144737426,
+      "loss": 1.4097,
+      "step": 163
+    },
+    {
+      "epoch": 0.16404613797630582,
+      "grad_norm": 0.6657288074493408,
+      "learning_rate": 0.00019852594357813952,
+      "loss": 1.6145,
+      "step": 164
+    },
+    {
+      "epoch": 0.16504641930542965,
+      "grad_norm": 0.7030160427093506,
+      "learning_rate": 0.00019850795744671116,
+      "loss": 1.6551,
+      "step": 165
+    },
+    {
+      "epoch": 0.16604670063455346,
+      "grad_norm": 0.87894207239151,
+      "learning_rate": 0.0001984898630728527,
+      "loss": 1.6316,
+      "step": 166
+    },
+    {
+      "epoch": 0.1670469819636773,
+      "grad_norm": 0.6282681226730347,
+      "learning_rate": 0.0001984716604764466,
+      "loss": 1.451,
+      "step": 167
+    },
+    {
+      "epoch": 0.1680472632928011,
+      "grad_norm": 0.6729792952537537,
+      "learning_rate": 0.0001984533496774942,
+      "loss": 1.4381,
+      "step": 168
+    },
+    {
+      "epoch": 0.16904754462192492,
+      "grad_norm": 0.7300116419792175,
+      "learning_rate": 0.0001984349306961158,
+      "loss": 1.4244,
+      "step": 169
+    },
+    {
+      "epoch": 0.17004782595104873,
+      "grad_norm": 0.6853480935096741,
+      "learning_rate": 0.00019841640355255043,
+      "loss": 1.6174,
+      "step": 170
+    },
+    {
+      "epoch": 0.17104810728017256,
+      "grad_norm": 0.735612690448761,
+      "learning_rate": 0.00019839776826715614,
+      "loss": 1.5085,
+      "step": 171
+    },
+    {
+      "epoch": 0.17204838860929636,
+      "grad_norm": 0.6735563278198242,
+      "learning_rate": 0.00019837902486040978,
+      "loss": 1.507,
+      "step": 172
+    },
+    {
+      "epoch": 0.1730486699384202,
+      "grad_norm": 0.6617917418479919,
+      "learning_rate": 0.0001983601733529069,
+      "loss": 1.6774,
+      "step": 173
+    },
+    {
+      "epoch": 0.174048951267544,
+      "grad_norm": 0.7137823700904846,
+      "learning_rate": 0.00019834121376536187,
+      "loss": 1.4665,
+      "step": 174
+    },
+    {
+      "epoch": 0.17504923259666783,
+      "grad_norm": 0.6372626423835754,
+      "learning_rate": 0.00019832214611860793,
+      "loss": 1.3597,
+      "step": 175
+    },
+    {
+      "epoch": 0.17604951392579163,
+      "grad_norm": 0.7131632566452026,
+      "learning_rate": 0.00019830297043359692,
+      "loss": 1.4833,
+      "step": 176
+    },
+    {
+      "epoch": 0.17704979525491543,
+      "grad_norm": 0.7538559436798096,
+      "learning_rate": 0.00019828368673139947,
+      "loss": 1.4714,
+      "step": 177
+    },
+    {
+      "epoch": 0.17805007658403926,
+      "grad_norm": 0.5684806108474731,
+      "learning_rate": 0.0001982642950332049,
+      "loss": 1.5012,
+      "step": 178
+    },
+    {
+      "epoch": 0.17905035791316307,
+      "grad_norm": 0.621658444404602,
+      "learning_rate": 0.00019824479536032112,
+      "loss": 1.9119,
+      "step": 179
+    },
+    {
+      "epoch": 0.1800506392422869,
+      "grad_norm": 0.6564679741859436,
+      "learning_rate": 0.0001982251877341748,
+      "loss": 1.5131,
+      "step": 180
+    },
+    {
+      "epoch": 0.1810509205714107,
+      "grad_norm": 0.6546526551246643,
+      "learning_rate": 0.00019820547217631117,
+      "loss": 1.4493,
+      "step": 181
+    },
+    {
+      "epoch": 0.18205120190053453,
+      "grad_norm": 0.6504479050636292,
+      "learning_rate": 0.00019818564870839405,
+      "loss": 1.6131,
+      "step": 182
+    },
+    {
+      "epoch": 0.18305148322965833,
+      "grad_norm": 0.6269803047180176,
+      "learning_rate": 0.00019816571735220583,
+      "loss": 1.5936,
+      "step": 183
+    },
+    {
+      "epoch": 0.18405176455878217,
+      "grad_norm": 0.6303942799568176,
+      "learning_rate": 0.00019814567812964748,
+      "loss": 1.6948,
+      "step": 184
+    },
+    {
+      "epoch": 0.18505204588790597,
+      "grad_norm": 0.6562885046005249,
+      "learning_rate": 0.00019812553106273847,
+      "loss": 1.5542,
+      "step": 185
+    },
+    {
+      "epoch": 0.1860523272170298,
+      "grad_norm": 0.5844212174415588,
+      "learning_rate": 0.00019810527617361681,
+      "loss": 1.539,
+      "step": 186
+    },
+    {
+      "epoch": 0.1870526085461536,
+      "grad_norm": 0.6402295231819153,
+      "learning_rate": 0.00019808491348453894,
+      "loss": 1.4748,
+      "step": 187
+    },
+    {
+      "epoch": 0.18805288987527743,
+      "grad_norm": 0.6579477190971375,
+      "learning_rate": 0.00019806444301787978,
+      "loss": 1.5114,
+      "step": 188
+    },
+    {
+      "epoch": 0.18905317120440124,
+      "grad_norm": 0.6511597037315369,
+      "learning_rate": 0.0001980438647961327,
+      "loss": 1.4678,
+      "step": 189
+    },
+    {
+      "epoch": 0.19005345253352504,
+      "grad_norm": 0.6911427974700928,
+      "learning_rate": 0.00019802317884190935,
+      "loss": 1.6876,
+      "step": 190
+    },
+    {
+      "epoch": 0.19105373386264887,
+      "grad_norm": 0.6146433353424072,
+      "learning_rate": 0.00019800238517793996,
+      "loss": 1.5986,
+      "step": 191
+    },
+    {
+      "epoch": 0.19205401519177268,
+      "grad_norm": 0.6126302480697632,
+      "learning_rate": 0.00019798148382707296,
+      "loss": 1.571,
+      "step": 192
+    },
+    {
+      "epoch": 0.1930542965208965,
+      "grad_norm": 0.5751072764396667,
+      "learning_rate": 0.00019796047481227515,
+      "loss": 1.4921,
+      "step": 193
+    },
+    {
+      "epoch": 0.1940545778500203,
+      "grad_norm": 0.6484839916229248,
+      "learning_rate": 0.00019793935815663163,
+      "loss": 1.7495,
+      "step": 194
+    },
+    {
+      "epoch": 0.19505485917914414,
+      "grad_norm": 0.6875973343849182,
+      "learning_rate": 0.00019791813388334581,
+      "loss": 1.5782,
+      "step": 195
+    },
+    {
+      "epoch": 0.19605514050826794,
+      "grad_norm": 0.8130943179130554,
+      "learning_rate": 0.00019789680201573933,
+      "loss": 1.4964,
+      "step": 196
+    },
+    {
+      "epoch": 0.19705542183739178,
+      "grad_norm": 0.6734403371810913,
+      "learning_rate": 0.00019787536257725202,
+      "loss": 1.4787,
+      "step": 197
+    },
+    {
+      "epoch": 0.19805570316651558,
+      "grad_norm": 0.6480582356452942,
+      "learning_rate": 0.00019785381559144196,
+      "loss": 1.5629,
+      "step": 198
+    },
+    {
+      "epoch": 0.1990559844956394,
+      "grad_norm": 0.6554624438285828,
+      "learning_rate": 0.00019783216108198542,
+      "loss": 1.5806,
+      "step": 199
+    },
+    {
+      "epoch": 0.2000562658247632,
+      "grad_norm": 0.705443263053894,
+      "learning_rate": 0.00019781039907267677,
+      "loss": 1.8372,
+      "step": 200
+    },
+    {
+      "epoch": 0.20105654715388704,
+      "grad_norm": 0.706923246383667,
+      "learning_rate": 0.00019778852958742853,
+      "loss": 1.6405,
+      "step": 201
+    },
+    {
+      "epoch": 0.20205682848301085,
+      "grad_norm": 0.7062544822692871,
+      "learning_rate": 0.00019776655265027127,
+      "loss": 1.6,
+      "step": 202
+    },
+    {
+      "epoch": 0.20305710981213465,
+      "grad_norm": 0.7227569222450256,
+      "learning_rate": 0.00019774446828535371,
+      "loss": 1.5172,
+      "step": 203
+    },
+    {
+      "epoch": 0.20405739114125848,
+      "grad_norm": 0.6762563586235046,
+      "learning_rate": 0.00019772227651694256,
+      "loss": 1.6753,
+      "step": 204
+    },
+    {
+      "epoch": 0.20505767247038229,
+      "grad_norm": 0.6048421859741211,
+      "learning_rate": 0.00019769997736942258,
+      "loss": 1.4827,
+      "step": 205
+    },
+    {
+      "epoch": 0.20605795379950612,
+      "grad_norm": 0.6002956032752991,
+      "learning_rate": 0.00019767757086729647,
+      "loss": 1.5438,
+      "step": 206
+    },
+    {
+      "epoch": 0.20705823512862992,
+      "grad_norm": 0.7948954701423645,
+      "learning_rate": 0.00019765505703518496,
+      "loss": 1.4988,
+      "step": 207
+    },
+    {
+      "epoch": 0.20805851645775375,
+      "grad_norm": 0.6495680809020996,
+      "learning_rate": 0.00019763243589782662,
+      "loss": 1.5738,
+      "step": 208
+    },
+    {
+      "epoch": 0.20905879778687755,
+      "grad_norm": 0.6413107514381409,
+      "learning_rate": 0.00019760970748007803,
+      "loss": 1.3794,
+      "step": 209
+    },
+    {
+      "epoch": 0.21005907911600138,
+      "grad_norm": 0.5999665260314941,
+      "learning_rate": 0.0001975868718069136,
+      "loss": 1.4313,
+      "step": 210
+    },
+    {
+      "epoch": 0.2110593604451252,
+      "grad_norm": 0.6355773210525513,
+      "learning_rate": 0.00019756392890342563,
+      "loss": 1.5107,
+      "step": 211
+    },
+    {
+      "epoch": 0.21205964177424902,
+      "grad_norm": 0.6068251729011536,
+      "learning_rate": 0.00019754087879482422,
+      "loss": 1.536,
+      "step": 212
+    },
+    {
+      "epoch": 0.21305992310337282,
+      "grad_norm": 0.5568909049034119,
+      "learning_rate": 0.00019751772150643722,
+      "loss": 1.5372,
+      "step": 213
+    },
+    {
+      "epoch": 0.21406020443249665,
+      "grad_norm": 0.5771281719207764,
+      "learning_rate": 0.00019749445706371038,
+      "loss": 1.487,
+      "step": 214
+    },
+    {
+      "epoch": 0.21506048576162046,
+      "grad_norm": 0.6146671772003174,
+      "learning_rate": 0.00019747108549220702,
+      "loss": 1.4585,
+      "step": 215
+    },
+    {
+      "epoch": 0.21606076709074426,
+      "grad_norm": 0.5595754981040955,
+      "learning_rate": 0.00019744760681760832,
+      "loss": 1.4224,
+      "step": 216
+    },
+    {
+      "epoch": 0.2170610484198681,
+      "grad_norm": 0.5873929858207703,
+      "learning_rate": 0.00019742402106571314,
+      "loss": 1.4581,
+      "step": 217
+    },
+    {
+      "epoch": 0.2180613297489919,
+      "grad_norm": 0.5725668668746948,
+      "learning_rate": 0.00019740032826243788,
+      "loss": 1.4393,
+      "step": 218
+    },
+    {
+      "epoch": 0.21906161107811573,
+      "grad_norm": 0.6452648043632507,
+      "learning_rate": 0.0001973765284338167,
+      "loss": 1.6048,
+      "step": 219
+    },
+    {
+      "epoch": 0.22006189240723953,
+      "grad_norm": 0.6166092753410339,
+      "learning_rate": 0.00019735262160600127,
+      "loss": 1.4976,
+      "step": 220
+    },
+    {
+      "epoch": 0.22106217373636336,
+      "grad_norm": 0.7053269147872925,
+      "learning_rate": 0.00019732860780526088,
+      "loss": 1.6882,
+      "step": 221
+    },
+    {
+      "epoch": 0.22206245506548716,
+      "grad_norm": 0.7072796821594238,
+      "learning_rate": 0.00019730448705798239,
+      "loss": 1.5441,
+      "step": 222
+    },
+    {
+      "epoch": 0.223062736394611,
+      "grad_norm": 0.6704496145248413,
+      "learning_rate": 0.00019728025939067008,
+      "loss": 1.3791,
+      "step": 223
+    },
+    {
+      "epoch": 0.2240630177237348,
+      "grad_norm": 0.6141743659973145,
+      "learning_rate": 0.00019725592482994583,
+      "loss": 1.5831,
+      "step": 224
+    },
+    {
+      "epoch": 0.22506329905285863,
+      "grad_norm": 0.6235673427581787,
+      "learning_rate": 0.00019723148340254892,
+      "loss": 1.6103,
+      "step": 225
+    },
+    {
+      "epoch": 0.22606358038198243,
+      "grad_norm": 0.6383673548698425,
+      "learning_rate": 0.00019720693513533598,
+      "loss": 1.6284,
+      "step": 226
+    },
+    {
+      "epoch": 0.22706386171110624,
+      "grad_norm": 0.7666104435920715,
+      "learning_rate": 0.00019718228005528122,
+      "loss": 1.702,
+      "step": 227
+    },
+    {
+      "epoch": 0.22806414304023007,
+      "grad_norm": 0.6431383490562439,
+      "learning_rate": 0.00019715751818947603,
+      "loss": 1.4571,
+      "step": 228
+    },
+    {
+      "epoch": 0.22906442436935387,
+      "grad_norm": 0.6177626252174377,
+      "learning_rate": 0.0001971326495651293,
+      "loss": 1.4326,
+      "step": 229
+    },
+    {
+      "epoch": 0.2300647056984777,
+      "grad_norm": 0.7352898120880127,
+      "learning_rate": 0.00019710767420956705,
+      "loss": 1.7427,
+      "step": 230
+    },
+    {
+      "epoch": 0.2310649870276015,
+      "grad_norm": 0.6259469389915466,
+      "learning_rate": 0.0001970825921502328,
+      "loss": 1.634,
+      "step": 231
+    },
+    {
+      "epoch": 0.23206526835672533,
+      "grad_norm": 0.6699635982513428,
+      "learning_rate": 0.0001970574034146871,
+      "loss": 1.4705,
+      "step": 232
+    },
+    {
+      "epoch": 0.23306554968584914,
+      "grad_norm": 0.5577033162117004,
+      "learning_rate": 0.00019703210803060782,
+      "loss": 1.5438,
+      "step": 233
+    },
+    {
+      "epoch": 0.23406583101497297,
+      "grad_norm": 0.6063429117202759,
+      "learning_rate": 0.00019700670602579008,
+      "loss": 1.555,
+      "step": 234
+    },
+    {
+      "epoch": 0.23506611234409677,
+      "grad_norm": 0.6069104671478271,
+      "learning_rate": 0.00019698119742814606,
+      "loss": 1.5036,
+      "step": 235
+    },
+    {
+      "epoch": 0.2360663936732206,
+      "grad_norm": 0.6158379316329956,
+      "learning_rate": 0.00019695558226570507,
+      "loss": 1.3741,
+      "step": 236
+    },
+    {
+      "epoch": 0.2370666750023444,
+      "grad_norm": 0.6366294622421265,
+      "learning_rate": 0.00019692986056661356,
+      "loss": 1.4467,
+      "step": 237
+    },
+    {
+      "epoch": 0.23806695633146824,
+      "grad_norm": 0.6726595163345337,
+      "learning_rate": 0.00019690403235913504,
+      "loss": 1.3861,
+      "step": 238
+    },
+    {
+      "epoch": 0.23906723766059204,
+      "grad_norm": 0.6546512842178345,
+      "learning_rate": 0.00019687809767165,
+      "loss": 1.6886,
+      "step": 239
+    },
+    {
+      "epoch": 0.24006751898971584,
+      "grad_norm": 0.6623121500015259,
+      "learning_rate": 0.000196852056532656,
+      "loss": 1.5925,
+      "step": 240
+    },
+    {
+      "epoch": 0.24106780031883968,
+      "grad_norm": 0.6577529311180115,
+      "learning_rate": 0.00019682590897076752,
+      "loss": 1.4509,
+      "step": 241
+    },
+    {
+      "epoch": 0.24206808164796348,
+      "grad_norm": 0.5586327314376831,
+      "learning_rate": 0.00019679965501471608,
+      "loss": 1.6346,
+      "step": 242
+    },
+    {
+      "epoch": 0.2430683629770873,
+      "grad_norm": 0.6459937691688538,
+      "learning_rate": 0.0001967732946933499,
+      "loss": 1.4129,
+      "step": 243
+    },
+    {
+      "epoch": 0.2440686443062111,
+      "grad_norm": 0.778732180595398,
+      "learning_rate": 0.00019674682803563428,
+      "loss": 1.5129,
+      "step": 244
+    },
+    {
+      "epoch": 0.24506892563533494,
+      "grad_norm": 0.7264451384544373,
+      "learning_rate": 0.00019672025507065131,
+      "loss": 1.4483,
+      "step": 245
+    },
+    {
+      "epoch": 0.24606920696445875,
+      "grad_norm": 0.616084635257721,
+      "learning_rate": 0.00019669357582759983,
+      "loss": 1.5947,
+      "step": 246
+    },
+    {
+      "epoch": 0.24706948829358258,
+      "grad_norm": 0.5911642909049988,
+      "learning_rate": 0.00019666679033579552,
+      "loss": 1.6407,
+      "step": 247
+    },
+    {
+      "epoch": 0.24806976962270638,
+      "grad_norm": 0.6102796792984009,
+      "learning_rate": 0.00019663989862467082,
+      "loss": 1.5251,
+      "step": 248
+    },
+    {
+      "epoch": 0.2490700509518302,
+      "grad_norm": 0.5973434448242188,
+      "learning_rate": 0.00019661290072377482,
+      "loss": 1.3969,
+      "step": 249
+    },
+    {
+      "epoch": 0.25007033228095404,
+      "grad_norm": 0.8515523076057434,
+      "learning_rate": 0.00019658579666277334,
+      "loss": 1.5687,
+      "step": 250
+    },
+    {
+      "epoch": 0.2510706136100778,
+      "grad_norm": 0.5003417134284973,
+      "learning_rate": 0.0001965585864714488,
+      "loss": 1.4102,
+      "step": 251
+    },
+    {
+      "epoch": 0.25207089493920165,
+      "grad_norm": 0.5215190052986145,
+      "learning_rate": 0.00019653127017970034,
+      "loss": 1.2471,
+      "step": 252
+    },
+    {
+      "epoch": 0.2530711762683255,
+      "grad_norm": 0.6491619348526001,
+      "learning_rate": 0.0001965038478175436,
+      "loss": 1.6969,
+      "step": 253
+    },
+    {
+      "epoch": 0.25407145759744926,
+      "grad_norm": 0.6176133155822754,
+      "learning_rate": 0.00019647631941511082,
+      "loss": 1.5351,
+      "step": 254
+    },
+    {
+      "epoch": 0.2550717389265731,
+      "grad_norm": 0.6913408041000366,
+      "learning_rate": 0.0001964486850026507,
+      "loss": 1.4309,
+      "step": 255
+    },
+    {
+      "epoch": 0.2560720202556969,
+      "grad_norm": 0.5875718593597412,
+      "learning_rate": 0.00019642094461052852,
+      "loss": 1.4679,
+      "step": 256
+    },
+    {
+      "epoch": 0.25707230158482075,
+      "grad_norm": 0.6682264804840088,
+      "learning_rate": 0.00019639309826922585,
+      "loss": 1.5393,
+      "step": 257
+    },
+    {
+      "epoch": 0.2580725829139445,
+      "grad_norm": 0.7241432666778564,
+      "learning_rate": 0.0001963651460093409,
+      "loss": 1.4998,
+      "step": 258
+    },
+    {
+      "epoch": 0.25907286424306836,
+      "grad_norm": 0.5210353136062622,
+      "learning_rate": 0.00019633708786158806,
+      "loss": 1.3837,
+      "step": 259
+    },
+    {
+      "epoch": 0.2600731455721922,
+      "grad_norm": 0.584020733833313,
+      "learning_rate": 0.00019630892385679818,
+      "loss": 1.4961,
+      "step": 260
+    },
+    {
+      "epoch": 0.261073426901316,
+      "grad_norm": 0.6708115935325623,
+      "learning_rate": 0.00019628065402591845,
+      "loss": 1.5277,
+      "step": 261
+    },
+    {
+      "epoch": 0.2620737082304398,
+      "grad_norm": 0.5480003952980042,
+      "learning_rate": 0.00019625227840001225,
+      "loss": 1.556,
+      "step": 262
+    },
+    {
+      "epoch": 0.2630739895595636,
+      "grad_norm": 0.595191478729248,
+      "learning_rate": 0.0001962237970102593,
+      "loss": 1.3514,
+      "step": 263
+    },
+    {
+      "epoch": 0.26407427088868746,
+      "grad_norm": 0.7332099080085754,
+      "learning_rate": 0.0001961952098879555,
+      "loss": 1.5394,
+      "step": 264
+    },
+    {
+      "epoch": 0.26507455221781123,
+      "grad_norm": 0.596319317817688,
+      "learning_rate": 0.00019616651706451287,
+      "loss": 1.3828,
+      "step": 265
+    },
+    {
+      "epoch": 0.26607483354693506,
+      "grad_norm": 0.5998026132583618,
+      "learning_rate": 0.0001961377185714597,
+      "loss": 1.4479,
+      "step": 266
+    },
+    {
+      "epoch": 0.2670751148760589,
+      "grad_norm": 0.6220220923423767,
+      "learning_rate": 0.0001961088144404403,
+      "loss": 1.5121,
+      "step": 267
+    },
+    {
+      "epoch": 0.2680753962051827,
+      "grad_norm": 0.5865943431854248,
+      "learning_rate": 0.00019607980470321505,
+      "loss": 1.6747,
+      "step": 268
+    },
+    {
+      "epoch": 0.2690756775343065,
+      "grad_norm": 0.5790852904319763,
+      "learning_rate": 0.00019605068939166045,
+      "loss": 1.3798,
+      "step": 269
+    },
+    {
+      "epoch": 0.27007595886343033,
+      "grad_norm": 0.6157498955726624,
+      "learning_rate": 0.00019602146853776894,
+      "loss": 1.6799,
+      "step": 270
+    },
+    {
+      "epoch": 0.27107624019255416,
+      "grad_norm": 0.6214422583580017,
+      "learning_rate": 0.000195992142173649,
+      "loss": 1.4782,
+      "step": 271
+    },
+    {
+      "epoch": 0.272076521521678,
+      "grad_norm": 0.6460129618644714,
+      "learning_rate": 0.0001959627103315249,
+      "loss": 1.4874,
+      "step": 272
+    },
+    {
+      "epoch": 0.27307680285080177,
+      "grad_norm": 0.5928930640220642,
+      "learning_rate": 0.00019593317304373705,
+      "loss": 1.4557,
+      "step": 273
+    },
+    {
+      "epoch": 0.2740770841799256,
+      "grad_norm": 0.5123687982559204,
+      "learning_rate": 0.00019590353034274144,
+      "loss": 1.445,
+      "step": 274
+    },
+    {
+      "epoch": 0.27507736550904943,
+      "grad_norm": 0.607455313205719,
+      "learning_rate": 0.00019587378226111014,
+      "loss": 1.4468,
+      "step": 275
+    },
+    {
+      "epoch": 0.27607764683817326,
+      "grad_norm": 0.6108120083808899,
+      "learning_rate": 0.00019584392883153088,
+      "loss": 1.3834,
+      "step": 276
+    },
+    {
+      "epoch": 0.27707792816729704,
+      "grad_norm": 0.680404543876648,
+      "learning_rate": 0.00019581397008680717,
+      "loss": 1.5094,
+      "step": 277
+    },
+    {
+      "epoch": 0.27807820949642087,
+      "grad_norm": 0.6419563889503479,
+      "learning_rate": 0.00019578390605985826,
+      "loss": 1.6933,
+      "step": 278
+    },
+    {
+      "epoch": 0.2790784908255447,
+      "grad_norm": 0.5788853764533997,
+      "learning_rate": 0.00019575373678371909,
+      "loss": 1.4754,
+      "step": 279
+    },
+    {
+      "epoch": 0.2800787721546685,
+      "grad_norm": 0.5943770408630371,
+      "learning_rate": 0.00019572346229154025,
+      "loss": 1.2949,
+      "step": 280
+    },
+    {
+      "epoch": 0.2810790534837923,
+      "grad_norm": 0.5997135043144226,
+      "learning_rate": 0.00019569308261658787,
+      "loss": 1.5365,
+      "step": 281
+    },
+    {
+      "epoch": 0.28207933481291614,
+      "grad_norm": 0.692401647567749,
+      "learning_rate": 0.00019566259779224378,
+      "loss": 1.4946,
+      "step": 282
+    },
+    {
+      "epoch": 0.28307961614203997,
+      "grad_norm": 0.5856708884239197,
+      "learning_rate": 0.00019563200785200526,
+      "loss": 1.426,
+      "step": 283
+    },
+    {
+      "epoch": 0.28407989747116374,
+      "grad_norm": 1.2516822814941406,
+      "learning_rate": 0.00019560131282948516,
+      "loss": 1.5119,
+      "step": 284
+    },
+    {
+      "epoch": 0.2850801788002876,
+      "grad_norm": 0.6360501050949097,
+      "learning_rate": 0.0001955705127584117,
+      "loss": 1.3916,
+      "step": 285
+    },
+    {
+      "epoch": 0.2860804601294114,
+      "grad_norm": 0.6822036504745483,
+      "learning_rate": 0.00019553960767262863,
+      "loss": 1.5565,
+      "step": 286
+    },
+    {
+      "epoch": 0.28708074145853524,
+      "grad_norm": 0.6973714828491211,
+      "learning_rate": 0.00019550859760609503,
+      "loss": 1.5559,
+      "step": 287
+    },
+    {
+      "epoch": 0.288081022787659,
+      "grad_norm": 0.6595618724822998,
+      "learning_rate": 0.00019547748259288536,
+      "loss": 1.5824,
+      "step": 288
+    },
+    {
+      "epoch": 0.28908130411678284,
+      "grad_norm": 0.5625808238983154,
+      "learning_rate": 0.0001954462626671894,
+      "loss": 1.2669,
+      "step": 289
+    },
+    {
+      "epoch": 0.2900815854459067,
+      "grad_norm": 0.6318663358688354,
+      "learning_rate": 0.0001954149378633122,
+      "loss": 1.3896,
+      "step": 290
+    },
+    {
+      "epoch": 0.29108186677503045,
+      "grad_norm": 0.6655906438827515,
+      "learning_rate": 0.00019538350821567404,
+      "loss": 1.3889,
+      "step": 291
+    },
+    {
+      "epoch": 0.2920821481041543,
+      "grad_norm": 0.5947337746620178,
+      "learning_rate": 0.00019535197375881045,
+      "loss": 1.6112,
+      "step": 292
+    },
+    {
+      "epoch": 0.2930824294332781,
+      "grad_norm": 0.6139295101165771,
+      "learning_rate": 0.00019532033452737205,
+      "loss": 1.5185,
+      "step": 293
+    },
+    {
+      "epoch": 0.29408271076240194,
+      "grad_norm": 0.579953670501709,
+      "learning_rate": 0.00019528859055612468,
+      "loss": 1.3874,
+      "step": 294
+    },
+    {
+      "epoch": 0.2950829920915257,
+      "grad_norm": 0.6101506352424622,
+      "learning_rate": 0.0001952567418799492,
+      "loss": 1.5965,
+      "step": 295
+    },
+    {
+      "epoch": 0.29608327342064955,
+      "grad_norm": 0.6393965482711792,
+      "learning_rate": 0.00019522478853384155,
+      "loss": 1.4124,
+      "step": 296
+    },
+    {
+      "epoch": 0.2970835547497734,
+      "grad_norm": 0.6147856712341309,
+      "learning_rate": 0.00019519273055291266,
+      "loss": 1.3776,
+      "step": 297
+    },
+    {
+      "epoch": 0.2980838360788972,
+      "grad_norm": 0.6056416630744934,
+      "learning_rate": 0.00019516056797238846,
+      "loss": 1.4453,
+      "step": 298
+    },
+    {
+      "epoch": 0.299084117408021,
+      "grad_norm": 0.6705831289291382,
+      "learning_rate": 0.00019512830082760987,
+      "loss": 1.3248,
+      "step": 299
+    },
+    {
+      "epoch": 0.3000843987371448,
+      "grad_norm": 0.6664314866065979,
+      "learning_rate": 0.00019509592915403255,
+      "loss": 1.5865,
+      "step": 300
+    },
+    {
+      "epoch": 0.30108468006626865,
+      "grad_norm": 0.5325604677200317,
+      "learning_rate": 0.00019506345298722717,
+      "loss": 1.0646,
+      "step": 301
+    },
+    {
+      "epoch": 0.3020849613953925,
+      "grad_norm": 0.589242160320282,
+      "learning_rate": 0.00019503087236287913,
+      "loss": 1.2297,
+      "step": 302
+    },
+    {
+      "epoch": 0.30308524272451626,
+      "grad_norm": 0.5677699446678162,
+      "learning_rate": 0.00019499818731678873,
+      "loss": 1.3961,
+      "step": 303
+    },
+    {
+      "epoch": 0.3040855240536401,
+      "grad_norm": 0.5676394701004028,
+      "learning_rate": 0.00019496539788487082,
+      "loss": 1.3276,
+      "step": 304
+    },
+    {
+      "epoch": 0.3050858053827639,
+      "grad_norm": 0.7280861139297485,
+      "learning_rate": 0.0001949325041031551,
+      "loss": 1.6731,
+      "step": 305
+    },
+    {
+      "epoch": 0.3060860867118877,
+      "grad_norm": 0.690636396408081,
+      "learning_rate": 0.0001948995060077859,
+      "loss": 1.5443,
+      "step": 306
+    },
+    {
+      "epoch": 0.3070863680410115,
+      "grad_norm": 0.611426055431366,
+      "learning_rate": 0.0001948664036350221,
+      "loss": 1.5827,
+      "step": 307
+    },
+    {
+      "epoch": 0.30808664937013536,
+      "grad_norm": 0.7112497091293335,
+      "learning_rate": 0.00019483319702123732,
+      "loss": 1.5401,
+      "step": 308
+    },
+    {
+      "epoch": 0.3090869306992592,
+      "grad_norm": 0.6598275303840637,
+      "learning_rate": 0.00019479988620291956,
+      "loss": 1.6432,
+      "step": 309
+    },
+    {
+      "epoch": 0.31008721202838296,
+      "grad_norm": 0.5019932985305786,
+      "learning_rate": 0.00019476647121667137,
+      "loss": 1.2561,
+      "step": 310
+    },
+    {
+      "epoch": 0.3110874933575068,
+      "grad_norm": 0.7777897715568542,
+      "learning_rate": 0.00019473295209920983,
+      "loss": 1.6118,
+      "step": 311
+    },
+    {
+      "epoch": 0.3120877746866306,
+      "grad_norm": 0.6028640866279602,
+      "learning_rate": 0.00019469932888736632,
+      "loss": 1.4682,
+      "step": 312
+    },
+    {
+      "epoch": 0.31308805601575446,
+      "grad_norm": 0.554381251335144,
+      "learning_rate": 0.00019466560161808674,
+      "loss": 1.4179,
+      "step": 313
+    },
+    {
+      "epoch": 0.31408833734487823,
+      "grad_norm": 0.6212736368179321,
+      "learning_rate": 0.00019463177032843124,
+      "loss": 1.4327,
+      "step": 314
+    },
+    {
+      "epoch": 0.31508861867400206,
+      "grad_norm": 0.6829814910888672,
+      "learning_rate": 0.00019459783505557424,
+      "loss": 1.4455,
+      "step": 315
+    },
+    {
+      "epoch": 0.3160889000031259,
+      "grad_norm": 0.5808065533638,
+      "learning_rate": 0.00019456379583680452,
+      "loss": 1.3583,
+      "step": 316
+    },
+    {
+      "epoch": 0.31708918133224967,
+      "grad_norm": 0.6354159712791443,
+      "learning_rate": 0.000194529652709525,
+      "loss": 1.6916,
+      "step": 317
+    },
+    {
+      "epoch": 0.3180894626613735,
+      "grad_norm": 0.6299159526824951,
+      "learning_rate": 0.00019449540571125286,
+      "loss": 1.47,
+      "step": 318
+    },
+    {
+      "epoch": 0.31908974399049733,
+      "grad_norm": 0.6222877502441406,
+      "learning_rate": 0.00019446105487961926,
+      "loss": 1.4137,
+      "step": 319
+    },
+    {
+      "epoch": 0.32009002531962116,
+      "grad_norm": 0.5995916724205017,
+      "learning_rate": 0.0001944266002523696,
+      "loss": 1.3679,
+      "step": 320
+    },
+    {
+      "epoch": 0.32109030664874494,
+      "grad_norm": 0.599814236164093,
+      "learning_rate": 0.0001943920418673633,
+      "loss": 1.4075,
+      "step": 321
+    },
+    {
+      "epoch": 0.32209058797786877,
+      "grad_norm": 0.5409269332885742,
+      "learning_rate": 0.00019435737976257377,
+      "loss": 1.4289,
+      "step": 322
+    },
+    {
+      "epoch": 0.3230908693069926,
+      "grad_norm": 0.5298951864242554,
+      "learning_rate": 0.00019432261397608834,
+      "loss": 1.2834,
+      "step": 323
+    },
+    {
+      "epoch": 0.32409115063611643,
+      "grad_norm": 0.7196112871170044,
+      "learning_rate": 0.00019428774454610843,
+      "loss": 1.4845,
+      "step": 324
+    },
+    {
+      "epoch": 0.3250914319652402,
+      "grad_norm": 0.5605450868606567,
+      "learning_rate": 0.00019425277151094913,
+      "loss": 1.4575,
+      "step": 325
+    },
+    {
+      "epoch": 0.32609171329436404,
+      "grad_norm": 0.573080837726593,
+      "learning_rate": 0.00019421769490903957,
+      "loss": 1.5757,
+      "step": 326
+    },
+    {
+      "epoch": 0.32709199462348787,
+      "grad_norm": 0.5017902851104736,
+      "learning_rate": 0.0001941825147789225,
+      "loss": 1.5794,
+      "step": 327
+    },
+    {
+      "epoch": 0.32809227595261165,
+      "grad_norm": 0.643267810344696,
+      "learning_rate": 0.00019414723115925456,
+      "loss": 1.4903,
+      "step": 328
+    },
+    {
+      "epoch": 0.3290925572817355,
+      "grad_norm": 0.6522070169448853,
+      "learning_rate": 0.0001941118440888061,
+      "loss": 1.5907,
+      "step": 329
+    },
+    {
+      "epoch": 0.3300928386108593,
+      "grad_norm": 0.6496105790138245,
+      "learning_rate": 0.0001940763536064611,
+      "loss": 1.4225,
+      "step": 330
+    },
+    {
+      "epoch": 0.33109311993998314,
+      "grad_norm": 0.6011468768119812,
+      "learning_rate": 0.00019404075975121716,
+      "loss": 1.5022,
+      "step": 331
+    },
+    {
+      "epoch": 0.3320934012691069,
+      "grad_norm": 0.6327878832817078,
+      "learning_rate": 0.0001940050625621855,
+      "loss": 1.468,
+      "step": 332
+    },
+    {
+      "epoch": 0.33309368259823074,
+      "grad_norm": 0.6187490820884705,
+      "learning_rate": 0.00019396926207859084,
+      "loss": 1.5183,
+      "step": 333
+    },
+    {
+      "epoch": 0.3340939639273546,
+      "grad_norm": 0.7625093460083008,
+      "learning_rate": 0.0001939333583397715,
+      "loss": 1.4813,
+      "step": 334
+    },
+    {
+      "epoch": 0.3350942452564784,
+      "grad_norm": 0.5286359190940857,
+      "learning_rate": 0.00019389735138517915,
+      "loss": 1.3674,
+      "step": 335
+    },
+    {
+      "epoch": 0.3360945265856022,
+      "grad_norm": 0.5798503160476685,
+      "learning_rate": 0.00019386124125437895,
+      "loss": 1.3016,
+      "step": 336
+    },
+    {
+      "epoch": 0.337094807914726,
+      "grad_norm": 0.48794126510620117,
+      "learning_rate": 0.00019382502798704935,
+      "loss": 1.3642,
+      "step": 337
+    },
+    {
+      "epoch": 0.33809508924384984,
+      "grad_norm": 0.7394312620162964,
+      "learning_rate": 0.00019378871162298227,
+      "loss": 1.327,
+      "step": 338
+    },
+    {
+      "epoch": 0.3390953705729737,
+      "grad_norm": 0.5598319172859192,
+      "learning_rate": 0.00019375229220208276,
+      "loss": 1.4247,
+      "step": 339
+    },
+    {
+      "epoch": 0.34009565190209745,
+      "grad_norm": 0.6099628806114197,
+      "learning_rate": 0.00019371576976436917,
+      "loss": 1.4906,
+      "step": 340
+    },
+    {
+      "epoch": 0.3410959332312213,
+      "grad_norm": 0.6749781370162964,
+      "learning_rate": 0.00019367914434997312,
+      "loss": 1.367,
+      "step": 341
+    },
+    {
+      "epoch": 0.3420962145603451,
+      "grad_norm": 0.7721238136291504,
+      "learning_rate": 0.00019364241599913924,
+      "loss": 1.4464,
+      "step": 342
+    },
+    {
+      "epoch": 0.3430964958894689,
+      "grad_norm": 0.5762369632720947,
+      "learning_rate": 0.0001936055847522254,
+      "loss": 1.409,
+      "step": 343
+    },
+    {
+      "epoch": 0.3440967772185927,
+      "grad_norm": 0.6960498690605164,
+      "learning_rate": 0.00019356865064970244,
+      "loss": 1.3907,
+      "step": 344
+    },
+    {
+      "epoch": 0.34509705854771655,
+      "grad_norm": 0.5805984735488892,
+      "learning_rate": 0.0001935316137321543,
+      "loss": 1.4539,
+      "step": 345
+    },
+    {
+      "epoch": 0.3460973398768404,
+      "grad_norm": 0.5686045289039612,
+      "learning_rate": 0.00019349447404027782,
+      "loss": 1.4493,
+      "step": 346
+    },
+    {
+      "epoch": 0.34709762120596416,
+      "grad_norm": 0.5448501706123352,
+      "learning_rate": 0.00019345723161488283,
+      "loss": 1.5633,
+      "step": 347
+    },
+    {
+      "epoch": 0.348097902535088,
+      "grad_norm": 0.6388784050941467,
+      "learning_rate": 0.000193419886496892,
+      "loss": 1.7179,
+      "step": 348
+    },
+    {
+      "epoch": 0.3490981838642118,
+      "grad_norm": 0.5240457653999329,
+      "learning_rate": 0.00019338243872734086,
+      "loss": 1.4411,
+      "step": 349
+    },
+    {
+      "epoch": 0.35009846519333565,
+      "grad_norm": 0.5460641384124756,
+      "learning_rate": 0.00019334488834737775,
+      "loss": 1.361,
+      "step": 350
+    },
+    {
+      "epoch": 0.3510987465224594,
+      "grad_norm": 0.5495695471763611,
+      "learning_rate": 0.00019330723539826375,
+      "loss": 1.5891,
+      "step": 351
+    },
+    {
+      "epoch": 0.35209902785158326,
+      "grad_norm": 0.5618153214454651,
+      "learning_rate": 0.00019326947992137262,
+      "loss": 1.3084,
+      "step": 352
+    },
+    {
+      "epoch": 0.3530993091807071,
+      "grad_norm": 0.5603707432746887,
+      "learning_rate": 0.00019323162195819082,
+      "loss": 1.5732,
+      "step": 353
+    },
+    {
+      "epoch": 0.35409959050983086,
+      "grad_norm": 0.5732563138008118,
+      "learning_rate": 0.0001931936615503174,
+      "loss": 1.5045,
+      "step": 354
+    },
+    {
+      "epoch": 0.3550998718389547,
+      "grad_norm": 0.5997583866119385,
+      "learning_rate": 0.000193155598739464,
+      "loss": 1.4175,
+      "step": 355
+    },
+    {
+      "epoch": 0.3561001531680785,
+      "grad_norm": 0.5769765377044678,
+      "learning_rate": 0.0001931174335674547,
+      "loss": 1.4834,
+      "step": 356
+    },
+    {
+      "epoch": 0.35710043449720236,
+      "grad_norm": 0.5902683138847351,
+      "learning_rate": 0.0001930791660762262,
+      "loss": 1.4664,
+      "step": 357
+    },
+    {
+      "epoch": 0.35810071582632613,
+      "grad_norm": 0.6354758143424988,
+      "learning_rate": 0.00019304079630782752,
+      "loss": 1.3891,
+      "step": 358
+    },
+    {
+      "epoch": 0.35910099715544996,
+      "grad_norm": 0.6018317341804504,
+      "learning_rate": 0.0001930023243044201,
+      "loss": 1.4514,
+      "step": 359
+    },
+    {
+      "epoch": 0.3601012784845738,
+      "grad_norm": 0.5409123301506042,
+      "learning_rate": 0.00019296375010827773,
+      "loss": 1.4708,
+      "step": 360
+    },
+    {
+      "epoch": 0.3611015598136976,
+      "grad_norm": 0.5457523465156555,
+      "learning_rate": 0.00019292507376178643,
+      "loss": 1.4988,
+      "step": 361
+    },
+    {
+      "epoch": 0.3621018411428214,
+      "grad_norm": 0.626768946647644,
+      "learning_rate": 0.00019288629530744454,
+      "loss": 1.5722,
+      "step": 362
+    },
+    {
+      "epoch": 0.36310212247194523,
+      "grad_norm": 0.566554069519043,
+      "learning_rate": 0.0001928474147878626,
+      "loss": 1.2135,
+      "step": 363
+    },
+    {
+      "epoch": 0.36410240380106906,
+      "grad_norm": 0.7327786684036255,
+      "learning_rate": 0.0001928084322457632,
+      "loss": 1.5245,
+      "step": 364
+    },
+    {
+      "epoch": 0.3651026851301929,
+      "grad_norm": 0.5205698609352112,
+      "learning_rate": 0.00019276934772398114,
+      "loss": 1.2068,
+      "step": 365
+    },
+    {
+      "epoch": 0.36610296645931667,
+      "grad_norm": 1.0956753492355347,
+      "learning_rate": 0.00019273016126546323,
+      "loss": 1.5044,
+      "step": 366
+    },
+    {
+      "epoch": 0.3671032477884405,
+      "grad_norm": 0.6484043598175049,
+      "learning_rate": 0.00019269087291326833,
+      "loss": 1.6369,
+      "step": 367
+    },
+    {
+      "epoch": 0.36810352911756433,
+      "grad_norm": 0.6363429427146912,
+      "learning_rate": 0.00019265148271056722,
+      "loss": 1.4338,
+      "step": 368
+    },
+    {
+      "epoch": 0.3691038104466881,
+      "grad_norm": 0.6295244693756104,
+      "learning_rate": 0.0001926119907006426,
+      "loss": 1.4701,
+      "step": 369
+    },
+    {
+      "epoch": 0.37010409177581194,
+      "grad_norm": 0.6013259887695312,
+      "learning_rate": 0.00019257239692688907,
+      "loss": 1.7629,
+      "step": 370
+    },
+    {
+      "epoch": 0.37110437310493577,
+      "grad_norm": 0.6949493885040283,
+      "learning_rate": 0.00019253270143281296,
+      "loss": 1.6713,
+      "step": 371
+    },
+    {
+      "epoch": 0.3721046544340596,
+      "grad_norm": 0.6933801174163818,
+      "learning_rate": 0.00019249290426203252,
+      "loss": 1.6131,
+      "step": 372
+    },
+    {
+      "epoch": 0.3731049357631834,
+      "grad_norm": 0.5847527384757996,
+      "learning_rate": 0.0001924530054582776,
+      "loss": 1.3968,
+      "step": 373
+    },
+    {
+      "epoch": 0.3741052170923072,
+      "grad_norm": 0.6053057312965393,
+      "learning_rate": 0.0001924130050653898,
+      "loss": 1.3311,
+      "step": 374
+    },
+    {
+      "epoch": 0.37510549842143104,
+      "grad_norm": 0.5513793230056763,
+      "learning_rate": 0.00019237290312732226,
+      "loss": 1.5063,
+      "step": 375
+    },
+    {
+      "epoch": 0.37610577975055487,
+      "grad_norm": 0.5859197378158569,
+      "learning_rate": 0.00019233269968813984,
+      "loss": 1.3556,
+      "step": 376
+    },
+    {
+      "epoch": 0.37710606107967864,
+      "grad_norm": 0.5623495578765869,
+      "learning_rate": 0.00019229239479201876,
+      "loss": 1.3859,
+      "step": 377
+    },
+    {
+      "epoch": 0.3781063424088025,
+      "grad_norm": 0.602118968963623,
+      "learning_rate": 0.0001922519884832469,
+      "loss": 1.334,
+      "step": 378
+    },
+    {
+      "epoch": 0.3791066237379263,
+      "grad_norm": 0.5212380886077881,
+      "learning_rate": 0.0001922114808062234,
+      "loss": 1.401,
+      "step": 379
+    },
+    {
+      "epoch": 0.3801069050670501,
+      "grad_norm": 0.4969455599784851,
+      "learning_rate": 0.00019217087180545893,
+      "loss": 1.2292,
+      "step": 380
+    },
+    {
+      "epoch": 0.3811071863961739,
+      "grad_norm": 0.578629732131958,
+      "learning_rate": 0.0001921301615255754,
+      "loss": 1.5015,
+      "step": 381
+    },
+    {
+      "epoch": 0.38210746772529774,
+      "grad_norm": 0.593053936958313,
+      "learning_rate": 0.0001920893500113061,
+      "loss": 1.302,
+      "step": 382
+    },
+    {
+      "epoch": 0.3831077490544216,
+      "grad_norm": 0.5832563638687134,
+      "learning_rate": 0.00019204843730749547,
+      "loss": 1.3695,
+      "step": 383
+    },
+    {
+      "epoch": 0.38410803038354535,
+      "grad_norm": 0.5608510375022888,
+      "learning_rate": 0.00019200742345909915,
+      "loss": 1.3792,
+      "step": 384
+    },
+    {
+      "epoch": 0.3851083117126692,
+      "grad_norm": 0.5337334275245667,
+      "learning_rate": 0.00019196630851118398,
+      "loss": 1.4163,
+      "step": 385
+    },
+    {
+      "epoch": 0.386108593041793,
+      "grad_norm": 0.5460125803947449,
+      "learning_rate": 0.0001919250925089278,
+      "loss": 1.2439,
+      "step": 386
+    },
+    {
+      "epoch": 0.38710887437091684,
+      "grad_norm": 0.6217851638793945,
+      "learning_rate": 0.00019188377549761963,
+      "loss": 1.6428,
+      "step": 387
+    },
+    {
+      "epoch": 0.3881091557000406,
+      "grad_norm": 0.7154502868652344,
+      "learning_rate": 0.00019184235752265928,
+      "loss": 1.3468,
+      "step": 388
+    },
+    {
+      "epoch": 0.38910943702916445,
+      "grad_norm": 0.5044635534286499,
+      "learning_rate": 0.00019180083862955772,
+      "loss": 1.1877,
+      "step": 389
+    },
+    {
+      "epoch": 0.3901097183582883,
+      "grad_norm": 0.5755971074104309,
+      "learning_rate": 0.00019175921886393666,
+      "loss": 1.3475,
+      "step": 390
+    },
+    {
+      "epoch": 0.39110999968741206,
+      "grad_norm": 0.6121137738227844,
+      "learning_rate": 0.00019171749827152869,
+      "loss": 1.4342,
+      "step": 391
+    },
+    {
+      "epoch": 0.3921102810165359,
+      "grad_norm": 0.5615536570549011,
+      "learning_rate": 0.0001916756768981772,
+      "loss": 1.5471,
+      "step": 392
+    },
+    {
+      "epoch": 0.3931105623456597,
+      "grad_norm": 0.6527026295661926,
+      "learning_rate": 0.00019163375478983632,
+      "loss": 1.6363,
+      "step": 393
+    },
+    {
+      "epoch": 0.39411084367478355,
+      "grad_norm": 0.6465044617652893,
+      "learning_rate": 0.00019159173199257085,
+      "loss": 1.3823,
+      "step": 394
+    },
+    {
+      "epoch": 0.3951111250039073,
+      "grad_norm": 0.5620000958442688,
+      "learning_rate": 0.00019154960855255628,
+      "loss": 1.5418,
+      "step": 395
+    },
+    {
+      "epoch": 0.39611140633303116,
+      "grad_norm": 0.7090588808059692,
+      "learning_rate": 0.0001915073845160786,
+      "loss": 1.4593,
+      "step": 396
+    },
+    {
+      "epoch": 0.397111687662155,
+      "grad_norm": 0.6644489169120789,
+      "learning_rate": 0.00019146505992953446,
+      "loss": 1.4236,
+      "step": 397
+    },
+    {
+      "epoch": 0.3981119689912788,
+      "grad_norm": 0.6038135886192322,
+      "learning_rate": 0.00019142263483943085,
+      "loss": 1.1805,
+      "step": 398
+    },
+    {
+      "epoch": 0.3991122503204026,
+      "grad_norm": 0.6746726036071777,
+      "learning_rate": 0.00019138010929238534,
+      "loss": 1.5264,
+      "step": 399
+    },
+    {
+      "epoch": 0.4001125316495264,
+      "grad_norm": 0.5871374607086182,
+      "learning_rate": 0.00019133748333512575,
+      "loss": 1.3709,
+      "step": 400
+    },
+    {
+      "epoch": 0.40111281297865026,
+      "grad_norm": 0.5743412375450134,
+      "learning_rate": 0.00019129475701449035,
+      "loss": 1.4677,
+      "step": 401
+    },
+    {
+      "epoch": 0.4021130943077741,
+      "grad_norm": 0.6184396743774414,
+      "learning_rate": 0.0001912519303774276,
+      "loss": 1.4228,
+      "step": 402
+    },
+    {
+      "epoch": 0.40311337563689786,
+      "grad_norm": 0.5872434973716736,
+      "learning_rate": 0.0001912090034709963,
+      "loss": 1.3495,
+      "step": 403
+    },
+    {
+      "epoch": 0.4041136569660217,
+      "grad_norm": 0.6500155925750732,
+      "learning_rate": 0.00019116597634236525,
+      "loss": 1.4315,
+      "step": 404
+    },
+    {
+      "epoch": 0.4051139382951455,
+      "grad_norm": 0.5240740180015564,
+      "learning_rate": 0.0001911228490388136,
+      "loss": 1.4954,
+      "step": 405
+    },
+    {
+      "epoch": 0.4061142196242693,
+      "grad_norm": 0.5531806945800781,
+      "learning_rate": 0.00019107962160773035,
+      "loss": 1.3949,
+      "step": 406
+    },
+    {
+      "epoch": 0.40711450095339313,
+      "grad_norm": 0.5266262888908386,
+      "learning_rate": 0.0001910362940966147,
+      "loss": 1.2859,
+      "step": 407
+    },
+    {
+      "epoch": 0.40811478228251696,
+      "grad_norm": 0.5734869241714478,
+      "learning_rate": 0.00019099286655307568,
+      "loss": 1.2451,
+      "step": 408
+    },
+    {
+      "epoch": 0.4091150636116408,
+      "grad_norm": 0.5922874212265015,
+      "learning_rate": 0.0001909493390248324,
+      "loss": 1.5429,
+      "step": 409
+    },
+    {
+      "epoch": 0.41011534494076457,
+      "grad_norm": 0.542540431022644,
+      "learning_rate": 0.00019090571155971366,
+      "loss": 1.4138,
+      "step": 410
+    },
+    {
+      "epoch": 0.4111156262698884,
+      "grad_norm": 0.57356196641922,
+      "learning_rate": 0.00019086198420565823,
+      "loss": 1.2592,
+      "step": 411
+    },
+    {
+      "epoch": 0.41211590759901223,
+      "grad_norm": 0.6042733192443848,
+      "learning_rate": 0.00019081815701071445,
+      "loss": 1.5524,
+      "step": 412
+    },
+    {
+      "epoch": 0.41311618892813606,
+      "grad_norm": 0.46550241112709045,
+      "learning_rate": 0.0001907742300230406,
+      "loss": 1.308,
+      "step": 413
+    },
+    {
+      "epoch": 0.41411647025725984,
+      "grad_norm": 0.6283137798309326,
+      "learning_rate": 0.00019073020329090444,
+      "loss": 1.4753,
+      "step": 414
+    },
+    {
+      "epoch": 0.41511675158638367,
+      "grad_norm": 0.5254876613616943,
+      "learning_rate": 0.0001906860768626834,
+      "loss": 1.2157,
+      "step": 415
+    },
+    {
+      "epoch": 0.4161170329155075,
+      "grad_norm": 0.59089195728302,
+      "learning_rate": 0.00019064185078686443,
+      "loss": 1.2684,
+      "step": 416
+    },
+    {
+      "epoch": 0.4171173142446313,
+      "grad_norm": 0.7129126787185669,
+      "learning_rate": 0.000190597525112044,
+      "loss": 1.3974,
+      "step": 417
+    },
+    {
+      "epoch": 0.4181175955737551,
+      "grad_norm": 0.607305109500885,
+      "learning_rate": 0.000190553099886928,
+      "loss": 1.4312,
+      "step": 418
+    },
+    {
+      "epoch": 0.41911787690287894,
+      "grad_norm": 0.49921515583992004,
+      "learning_rate": 0.00019050857516033173,
+      "loss": 1.3469,
+      "step": 419
+    },
+    {
+      "epoch": 0.42011815823200277,
+      "grad_norm": 0.6167325377464294,
+      "learning_rate": 0.00019046395098117983,
+      "loss": 1.4723,
+      "step": 420
+    },
+    {
+      "epoch": 0.42111843956112655,
+      "grad_norm": 0.6144593358039856,
+      "learning_rate": 0.00019041922739850616,
+      "loss": 1.5502,
+      "step": 421
+    },
+    {
+      "epoch": 0.4221187208902504,
+      "grad_norm": 0.61333167552948,
+      "learning_rate": 0.00019037440446145385,
+      "loss": 1.3283,
+      "step": 422
+    },
+    {
+      "epoch": 0.4231190022193742,
+      "grad_norm": 0.5881702303886414,
+      "learning_rate": 0.00019032948221927524,
+      "loss": 1.4206,
+      "step": 423
+    },
+    {
+      "epoch": 0.42411928354849804,
+      "grad_norm": 0.5334322452545166,
+      "learning_rate": 0.00019028446072133175,
+      "loss": 1.4603,
+      "step": 424
+    },
+    {
+      "epoch": 0.4251195648776218,
+      "grad_norm": 0.5730605721473694,
+      "learning_rate": 0.00019023934001709383,
+      "loss": 1.4375,
+      "step": 425
+    },
+    {
+      "epoch": 0.42611984620674564,
+      "grad_norm": 0.6227820515632629,
+      "learning_rate": 0.00019019412015614098,
+      "loss": 1.4888,
+      "step": 426
+    },
+    {
+      "epoch": 0.4271201275358695,
+      "grad_norm": 0.5811313390731812,
+      "learning_rate": 0.00019014880118816164,
+      "loss": 1.3492,
+      "step": 427
+    },
+    {
+      "epoch": 0.4281204088649933,
+      "grad_norm": 0.5685800313949585,
+      "learning_rate": 0.0001901033831629532,
+      "loss": 1.5052,
+      "step": 428
+    },
+    {
+      "epoch": 0.4291206901941171,
+      "grad_norm": 0.5961394309997559,
+      "learning_rate": 0.00019005786613042185,
+      "loss": 1.3324,
+      "step": 429
+    },
+    {
+      "epoch": 0.4301209715232409,
+      "grad_norm": 0.5845314860343933,
+      "learning_rate": 0.00019001225014058255,
+      "loss": 1.5733,
+      "step": 430
+    },
+    {
+      "epoch": 0.43112125285236474,
+      "grad_norm": 0.5400176048278809,
+      "learning_rate": 0.00018996653524355902,
+      "loss": 1.3973,
+      "step": 431
+    },
+    {
+      "epoch": 0.4321215341814885,
+      "grad_norm": 0.5462201833724976,
+      "learning_rate": 0.00018992072148958368,
+      "loss": 1.2167,
+      "step": 432
+    },
+    {
+      "epoch": 0.43312181551061235,
+      "grad_norm": 0.6200360059738159,
+      "learning_rate": 0.00018987480892899758,
+      "loss": 1.5596,
+      "step": 433
+    },
+    {
+      "epoch": 0.4341220968397362,
+      "grad_norm": 0.5230718851089478,
+      "learning_rate": 0.00018982879761225027,
+      "loss": 1.3661,
+      "step": 434
+    },
+    {
+      "epoch": 0.43512237816886,
+      "grad_norm": 0.5868643522262573,
+      "learning_rate": 0.00018978268758989991,
+      "loss": 1.4792,
+      "step": 435
+    },
+    {
+      "epoch": 0.4361226594979838,
+      "grad_norm": 0.580892026424408,
+      "learning_rate": 0.00018973647891261307,
+      "loss": 1.3275,
+      "step": 436
+    },
+    {
+      "epoch": 0.4371229408271076,
+      "grad_norm": 0.5903263688087463,
+      "learning_rate": 0.00018969017163116472,
+      "loss": 1.4721,
+      "step": 437
+    },
+    {
+      "epoch": 0.43812322215623145,
+      "grad_norm": 0.5108968019485474,
+      "learning_rate": 0.0001896437657964382,
+      "loss": 1.3785,
+      "step": 438
+    },
+    {
+      "epoch": 0.4391235034853553,
+      "grad_norm": 0.6707500219345093,
+      "learning_rate": 0.00018959726145942508,
+      "loss": 1.5033,
+      "step": 439
+    },
+    {
+      "epoch": 0.44012378481447906,
+      "grad_norm": 0.5793184638023376,
+      "learning_rate": 0.00018955065867122528,
+      "loss": 1.3629,
+      "step": 440
+    },
+    {
+      "epoch": 0.4411240661436029,
+      "grad_norm": 0.5549041628837585,
+      "learning_rate": 0.00018950395748304678,
+      "loss": 1.5557,
+      "step": 441
+    },
+    {
+      "epoch": 0.4421243474727267,
+      "grad_norm": 0.5406919121742249,
+      "learning_rate": 0.0001894571579462058,
+      "loss": 1.4441,
+      "step": 442
+    },
+    {
+      "epoch": 0.4431246288018505,
+      "grad_norm": 0.5131089091300964,
+      "learning_rate": 0.00018941026011212654,
+      "loss": 1.3051,
+      "step": 443
+    },
+    {
+      "epoch": 0.4441249101309743,
+      "grad_norm": 0.601586639881134,
+      "learning_rate": 0.00018936326403234125,
+      "loss": 1.5297,
+      "step": 444
+    },
+    {
+      "epoch": 0.44512519146009816,
+      "grad_norm": 0.5036457180976868,
+      "learning_rate": 0.00018931616975849006,
+      "loss": 1.357,
+      "step": 445
+    },
+    {
+      "epoch": 0.446125472789222,
+      "grad_norm": 0.5471266508102417,
+      "learning_rate": 0.00018926897734232115,
+      "loss": 1.2176,
+      "step": 446
+    },
+    {
+      "epoch": 0.44712575411834576,
+      "grad_norm": 0.6057867407798767,
+      "learning_rate": 0.0001892216868356904,
+      "loss": 1.4763,
+      "step": 447
+    },
+    {
+      "epoch": 0.4481260354474696,
+      "grad_norm": 0.5384593605995178,
+      "learning_rate": 0.0001891742982905615,
+      "loss": 1.513,
+      "step": 448
+    },
+    {
+      "epoch": 0.4491263167765934,
+      "grad_norm": 0.6144880056381226,
+      "learning_rate": 0.00018912681175900598,
+      "loss": 1.5782,
+      "step": 449
+    },
+    {
+      "epoch": 0.45012659810571726,
+      "grad_norm": 0.4838174879550934,
+      "learning_rate": 0.00018907922729320285,
+      "loss": 1.4085,
+      "step": 450
+    },
+    {
+      "epoch": 0.45112687943484103,
+      "grad_norm": 0.6852928400039673,
+      "learning_rate": 0.00018903154494543889,
+      "loss": 1.5989,
+      "step": 451
+    },
+    {
+      "epoch": 0.45212716076396486,
+      "grad_norm": 0.47527411580085754,
+      "learning_rate": 0.00018898376476810834,
+      "loss": 1.3409,
+      "step": 452
+    },
+    {
+      "epoch": 0.4531274420930887,
+      "grad_norm": 0.5665884613990784,
+      "learning_rate": 0.00018893588681371303,
+      "loss": 1.5395,
+      "step": 453
+    },
+    {
+      "epoch": 0.45412772342221247,
+      "grad_norm": 0.5792158246040344,
+      "learning_rate": 0.00018888791113486213,
+      "loss": 1.516,
+      "step": 454
+    },
+    {
+      "epoch": 0.4551280047513363,
+      "grad_norm": 0.5223523378372192,
+      "learning_rate": 0.00018883983778427227,
+      "loss": 1.3678,
+      "step": 455
+    },
+    {
+      "epoch": 0.45612828608046013,
+      "grad_norm": 0.5927590131759644,
+      "learning_rate": 0.0001887916668147673,
+      "loss": 1.3617,
+      "step": 456
+    },
+    {
+      "epoch": 0.45712856740958396,
+      "grad_norm": 0.7266496419906616,
+      "learning_rate": 0.00018874339827927846,
+      "loss": 1.3734,
+      "step": 457
+    },
+    {
+      "epoch": 0.45812884873870774,
+      "grad_norm": 0.6495805978775024,
+      "learning_rate": 0.00018869503223084414,
+      "loss": 1.5282,
+      "step": 458
+    },
+    {
+      "epoch": 0.45912913006783157,
+      "grad_norm": 0.6099816560745239,
+      "learning_rate": 0.00018864656872260985,
+      "loss": 1.4691,
+      "step": 459
+    },
+    {
+      "epoch": 0.4601294113969554,
+      "grad_norm": 0.5208227038383484,
+      "learning_rate": 0.00018859800780782828,
+      "loss": 1.3949,
+      "step": 460
+    },
+    {
+      "epoch": 0.46112969272607923,
+      "grad_norm": 0.5526600480079651,
+      "learning_rate": 0.000188549349539859,
+      "loss": 1.3557,
+      "step": 461
+    },
+    {
+      "epoch": 0.462129974055203,
+      "grad_norm": 0.5537740588188171,
+      "learning_rate": 0.00018850059397216876,
+      "loss": 1.4703,
+      "step": 462
+    },
+    {
+      "epoch": 0.46313025538432684,
+      "grad_norm": 0.5553976893424988,
+      "learning_rate": 0.00018845174115833099,
+      "loss": 1.4356,
+      "step": 463
+    },
+    {
+      "epoch": 0.46413053671345067,
+      "grad_norm": 0.6027779579162598,
+      "learning_rate": 0.0001884027911520262,
+      "loss": 1.4763,
+      "step": 464
+    },
+    {
+      "epoch": 0.4651308180425745,
+      "grad_norm": 0.5559154748916626,
+      "learning_rate": 0.00018835374400704154,
+      "loss": 1.4148,
+      "step": 465
+    },
+    {
+      "epoch": 0.4661310993716983,
+      "grad_norm": 0.6124109029769897,
+      "learning_rate": 0.00018830459977727096,
+      "loss": 1.4468,
+      "step": 466
+    },
+    {
+      "epoch": 0.4671313807008221,
+      "grad_norm": 0.4762580692768097,
+      "learning_rate": 0.0001882553585167151,
+      "loss": 1.3714,
+      "step": 467
+    },
+    {
+      "epoch": 0.46813166202994594,
+      "grad_norm": 0.5793487429618835,
+      "learning_rate": 0.00018820602027948114,
+      "loss": 1.4828,
+      "step": 468
+    },
+    {
+      "epoch": 0.4691319433590697,
+      "grad_norm": 0.55177241563797,
+      "learning_rate": 0.00018815658511978298,
+      "loss": 1.4157,
+      "step": 469
+    },
+    {
+      "epoch": 0.47013222468819355,
+      "grad_norm": 0.5065292716026306,
+      "learning_rate": 0.00018810705309194083,
+      "loss": 1.4519,
+      "step": 470
+    },
+    {
+      "epoch": 0.4711325060173174,
+      "grad_norm": 0.5401413440704346,
+      "learning_rate": 0.00018805742425038145,
+      "loss": 1.4344,
+      "step": 471
+    },
+    {
+      "epoch": 0.4721327873464412,
+      "grad_norm": 0.7173880338668823,
+      "learning_rate": 0.00018800769864963802,
+      "loss": 1.7325,
+      "step": 472
+    },
+    {
+      "epoch": 0.473133068675565,
+      "grad_norm": 0.507682204246521,
+      "learning_rate": 0.00018795787634434994,
+      "loss": 1.37,
+      "step": 473
+    },
+    {
+      "epoch": 0.4741333500046888,
+      "grad_norm": 0.551888644695282,
+      "learning_rate": 0.0001879079573892629,
+      "loss": 1.3695,
+      "step": 474
+    },
+    {
+      "epoch": 0.47513363133381264,
+      "grad_norm": 0.5109260082244873,
+      "learning_rate": 0.00018785794183922883,
+      "loss": 1.4001,
+      "step": 475
+    },
+    {
+      "epoch": 0.4761339126629365,
+      "grad_norm": 0.4565551280975342,
+      "learning_rate": 0.00018780782974920572,
+      "loss": 1.1752,
+      "step": 476
+    },
+    {
+      "epoch": 0.47713419399206025,
+      "grad_norm": 0.5651509761810303,
+      "learning_rate": 0.00018775762117425777,
+      "loss": 1.4291,
+      "step": 477
+    },
+    {
+      "epoch": 0.4781344753211841,
+      "grad_norm": 0.5827792286872864,
+      "learning_rate": 0.0001877073161695551,
+      "loss": 1.3438,
+      "step": 478
+    },
+    {
+      "epoch": 0.4791347566503079,
+      "grad_norm": 0.5719752907752991,
+      "learning_rate": 0.00018765691479037376,
+      "loss": 1.4683,
+      "step": 479
+    },
+    {
+      "epoch": 0.4801350379794317,
+      "grad_norm": 0.5153111815452576,
+      "learning_rate": 0.00018760641709209583,
+      "loss": 1.4392,
+      "step": 480
+    },
+    {
+      "epoch": 0.4811353193085555,
+      "grad_norm": 0.5455904603004456,
+      "learning_rate": 0.0001875558231302091,
+      "loss": 1.1603,
+      "step": 481
+    },
+    {
+      "epoch": 0.48213560063767935,
+      "grad_norm": 0.5857074856758118,
+      "learning_rate": 0.00018750513296030718,
+      "loss": 1.3099,
+      "step": 482
+    },
+    {
+      "epoch": 0.4831358819668032,
+      "grad_norm": 0.6051676273345947,
+      "learning_rate": 0.00018745434663808942,
+      "loss": 1.3587,
+      "step": 483
+    },
+    {
+      "epoch": 0.48413616329592696,
+      "grad_norm": 0.588749885559082,
+      "learning_rate": 0.0001874034642193608,
+      "loss": 1.5277,
+      "step": 484
+    },
+    {
+      "epoch": 0.4851364446250508,
+      "grad_norm": 0.5295410752296448,
+      "learning_rate": 0.0001873524857600319,
+      "loss": 1.2084,
+      "step": 485
+    },
+    {
+      "epoch": 0.4861367259541746,
+      "grad_norm": 0.5313368439674377,
+      "learning_rate": 0.00018730141131611882,
+      "loss": 1.4002,
+      "step": 486
+    },
+    {
+      "epoch": 0.48713700728329845,
+      "grad_norm": 0.5166353583335876,
+      "learning_rate": 0.00018725024094374315,
+      "loss": 1.208,
+      "step": 487
+    },
+    {
+      "epoch": 0.4881372886124222,
+      "grad_norm": 0.5478363037109375,
+      "learning_rate": 0.00018719897469913184,
+      "loss": 1.3236,
+      "step": 488
+    },
+    {
+      "epoch": 0.48913756994154606,
+      "grad_norm": 0.5531913042068481,
+      "learning_rate": 0.00018714761263861728,
+      "loss": 1.4938,
+      "step": 489
+    },
+    {
+      "epoch": 0.4901378512706699,
+      "grad_norm": 0.5334530472755432,
+      "learning_rate": 0.000187096154818637,
+      "loss": 1.4172,
+      "step": 490
+    },
+    {
+      "epoch": 0.4911381325997937,
+      "grad_norm": 0.5667001605033875,
+      "learning_rate": 0.00018704460129573391,
+      "loss": 1.3517,
+      "step": 491
+    },
+    {
+      "epoch": 0.4921384139289175,
+      "grad_norm": 0.5568780303001404,
+      "learning_rate": 0.00018699295212655596,
+      "loss": 1.4287,
+      "step": 492
+    },
+    {
+      "epoch": 0.4931386952580413,
+      "grad_norm": 0.6663610935211182,
+      "learning_rate": 0.00018694120736785632,
+      "loss": 1.5416,
+      "step": 493
+    },
+    {
+      "epoch": 0.49413897658716516,
+      "grad_norm": 0.5753045082092285,
+      "learning_rate": 0.00018688936707649304,
+      "loss": 1.5552,
+      "step": 494
+    },
+    {
+      "epoch": 0.49513925791628893,
+      "grad_norm": 0.5707410573959351,
+      "learning_rate": 0.00018683743130942928,
+      "loss": 1.5332,
+      "step": 495
+    },
+    {
+      "epoch": 0.49613953924541276,
+      "grad_norm": 0.5847951173782349,
+      "learning_rate": 0.00018678540012373302,
+      "loss": 1.3488,
+      "step": 496
+    },
+    {
+      "epoch": 0.4971398205745366,
+      "grad_norm": 0.60503751039505,
+      "learning_rate": 0.00018673327357657715,
+      "loss": 1.3924,
+      "step": 497
+    },
+    {
+      "epoch": 0.4981401019036604,
+      "grad_norm": 0.635142982006073,
+      "learning_rate": 0.0001866810517252393,
+      "loss": 1.4392,
+      "step": 498
+    },
+    {
+      "epoch": 0.4991403832327842,
+      "grad_norm": 0.5536782741546631,
+      "learning_rate": 0.00018662873462710184,
+      "loss": 1.286,
+      "step": 499
+    },
+    {
+      "epoch": 0.5001406645619081,
+      "grad_norm": 0.5676659345626831,
+      "learning_rate": 0.0001865763223396518,
+      "loss": 1.3006,
+      "step": 500
+    },
+    {
+      "epoch": 0.5011409458910319,
+      "grad_norm": 0.5546663403511047,
+      "learning_rate": 0.00018652381492048083,
+      "loss": 1.418,
+      "step": 501
+    },
+    {
+      "epoch": 0.5021412272201556,
+      "grad_norm": 0.5137162804603577,
+      "learning_rate": 0.00018647121242728506,
+      "loss": 1.3173,
+      "step": 502
+    },
+    {
+      "epoch": 0.5031415085492795,
+      "grad_norm": 0.5474348068237305,
+      "learning_rate": 0.00018641851491786512,
+      "loss": 1.6652,
+      "step": 503
+    },
+    {
+      "epoch": 0.5041417898784033,
+      "grad_norm": 0.5563383102416992,
+      "learning_rate": 0.00018636572245012606,
+      "loss": 1.4519,
+      "step": 504
+    },
+    {
+      "epoch": 0.5051420712075271,
+      "grad_norm": 0.5621083974838257,
+      "learning_rate": 0.00018631283508207725,
+      "loss": 1.5418,
+      "step": 505
+    },
+    {
+      "epoch": 0.506142352536651,
+      "grad_norm": 0.49915972352027893,
+      "learning_rate": 0.00018625985287183233,
+      "loss": 1.2969,
+      "step": 506
+    },
+    {
+      "epoch": 0.5071426338657747,
+      "grad_norm": 0.601996660232544,
+      "learning_rate": 0.00018620677587760916,
+      "loss": 1.4483,
+      "step": 507
+    },
+    {
+      "epoch": 0.5081429151948985,
+      "grad_norm": 0.5594652891159058,
+      "learning_rate": 0.00018615360415772978,
+      "loss": 1.4094,
+      "step": 508
+    },
+    {
+      "epoch": 0.5091431965240224,
+      "grad_norm": 0.557381808757782,
+      "learning_rate": 0.00018610033777062025,
+      "loss": 1.216,
+      "step": 509
+    },
+    {
+      "epoch": 0.5101434778531462,
+      "grad_norm": 0.5841740369796753,
+      "learning_rate": 0.0001860469767748108,
+      "loss": 1.4924,
+      "step": 510
+    },
+    {
+      "epoch": 0.5111437591822701,
+      "grad_norm": 0.4968324899673462,
+      "learning_rate": 0.00018599352122893539,
+      "loss": 1.2474,
+      "step": 511
+    },
+    {
+      "epoch": 0.5121440405113938,
+      "grad_norm": 0.5390318632125854,
+      "learning_rate": 0.00018593997119173205,
+      "loss": 1.4484,
+      "step": 512
+    },
+    {
+      "epoch": 0.5131443218405176,
+      "grad_norm": 0.6626128554344177,
+      "learning_rate": 0.00018588632672204264,
+      "loss": 1.5664,
+      "step": 513
+    },
+    {
+      "epoch": 0.5141446031696415,
+      "grad_norm": 0.6183133721351624,
+      "learning_rate": 0.0001858325878788126,
+      "loss": 1.5603,
+      "step": 514
+    },
+    {
+      "epoch": 0.5151448844987653,
+      "grad_norm": 0.5574773550033569,
+      "learning_rate": 0.00018577875472109134,
+      "loss": 1.3668,
+      "step": 515
+    },
+    {
+      "epoch": 0.516145165827889,
+      "grad_norm": 0.5127518773078918,
+      "learning_rate": 0.0001857248273080317,
+      "loss": 1.264,
+      "step": 516
+    },
+    {
+      "epoch": 0.5171454471570129,
+      "grad_norm": 0.6540619134902954,
+      "learning_rate": 0.00018567080569889015,
+      "loss": 1.3091,
+      "step": 517
+    },
+    {
+      "epoch": 0.5181457284861367,
+      "grad_norm": 0.5286336541175842,
+      "learning_rate": 0.00018561668995302667,
+      "loss": 1.3581,
+      "step": 518
+    },
+    {
+      "epoch": 0.5191460098152605,
+      "grad_norm": 0.6609972715377808,
+      "learning_rate": 0.00018556248012990468,
+      "loss": 1.3123,
+      "step": 519
+    },
+    {
+      "epoch": 0.5201462911443844,
+      "grad_norm": 0.48230236768722534,
+      "learning_rate": 0.000185508176289091,
+      "loss": 1.2372,
+      "step": 520
+    },
+    {
+      "epoch": 0.5211465724735082,
+      "grad_norm": 0.5173765420913696,
+      "learning_rate": 0.00018545377849025566,
+      "loss": 1.327,
+      "step": 521
+    },
+    {
+      "epoch": 0.522146853802632,
+      "grad_norm": 0.5822583436965942,
+      "learning_rate": 0.0001853992867931721,
+      "loss": 1.3851,
+      "step": 522
+    },
+    {
+      "epoch": 0.5231471351317558,
+      "grad_norm": 0.6025621891021729,
+      "learning_rate": 0.00018534470125771674,
+      "loss": 1.5627,
+      "step": 523
+    },
+    {
+      "epoch": 0.5241474164608796,
+      "grad_norm": 0.5516778230667114,
+      "learning_rate": 0.0001852900219438693,
+      "loss": 1.4036,
+      "step": 524
+    },
+    {
+      "epoch": 0.5251476977900035,
+      "grad_norm": 0.5738380551338196,
+      "learning_rate": 0.0001852352489117124,
+      "loss": 1.5042,
+      "step": 525
+    },
+    {
+      "epoch": 0.5261479791191273,
+      "grad_norm": 0.6360776424407959,
+      "learning_rate": 0.00018518038222143174,
+      "loss": 1.4101,
+      "step": 526
+    },
+    {
+      "epoch": 0.527148260448251,
+      "grad_norm": 0.5776675939559937,
+      "learning_rate": 0.00018512542193331583,
+      "loss": 1.6015,
+      "step": 527
+    },
+    {
+      "epoch": 0.5281485417773749,
+      "grad_norm": 0.5662726759910583,
+      "learning_rate": 0.00018507036810775615,
+      "loss": 1.3186,
+      "step": 528
+    },
+    {
+      "epoch": 0.5291488231064987,
+      "grad_norm": 0.6518335938453674,
+      "learning_rate": 0.00018501522080524688,
+      "loss": 1.4882,
+      "step": 529
+    },
+    {
+      "epoch": 0.5301491044356225,
+      "grad_norm": 0.5475590825080872,
+      "learning_rate": 0.0001849599800863849,
+      "loss": 1.487,
+      "step": 530
+    },
+    {
+      "epoch": 0.5311493857647464,
+      "grad_norm": 0.6275209188461304,
+      "learning_rate": 0.0001849046460118698,
+      "loss": 1.3563,
+      "step": 531
+    },
+    {
+      "epoch": 0.5321496670938701,
+      "grad_norm": 0.5629132390022278,
+      "learning_rate": 0.0001848492186425037,
+      "loss": 1.516,
+      "step": 532
+    },
+    {
+      "epoch": 0.533149948422994,
+      "grad_norm": 0.5251057744026184,
+      "learning_rate": 0.0001847936980391913,
+      "loss": 1.5254,
+      "step": 533
+    },
+    {
+      "epoch": 0.5341502297521178,
+      "grad_norm": 0.5635396838188171,
+      "learning_rate": 0.00018473808426293964,
+      "loss": 1.3408,
+      "step": 534
+    },
+    {
+      "epoch": 0.5351505110812416,
+      "grad_norm": 0.527082622051239,
+      "learning_rate": 0.00018468237737485823,
+      "loss": 1.2664,
+      "step": 535
+    },
+    {
+      "epoch": 0.5361507924103655,
+      "grad_norm": 0.6555044054985046,
+      "learning_rate": 0.00018462657743615888,
+      "loss": 1.464,
+      "step": 536
+    },
+    {
+      "epoch": 0.5371510737394892,
+      "grad_norm": 0.5468676686286926,
+      "learning_rate": 0.00018457068450815562,
+      "loss": 1.3733,
+      "step": 537
+    },
+    {
+      "epoch": 0.538151355068613,
+      "grad_norm": 0.5662835836410522,
+      "learning_rate": 0.00018451469865226464,
+      "loss": 1.509,
+      "step": 538
+    },
+    {
+      "epoch": 0.5391516363977369,
+      "grad_norm": 0.5553548336029053,
+      "learning_rate": 0.00018445861993000436,
+      "loss": 1.2476,
+      "step": 539
+    },
+    {
+      "epoch": 0.5401519177268607,
+      "grad_norm": 0.6240925192832947,
+      "learning_rate": 0.00018440244840299506,
+      "loss": 1.5835,
+      "step": 540
+    },
+    {
+      "epoch": 0.5411521990559846,
+      "grad_norm": 0.6107541918754578,
+      "learning_rate": 0.0001843461841329591,
+      "loss": 1.7176,
+      "step": 541
+    },
+    {
+      "epoch": 0.5421524803851083,
+      "grad_norm": 0.6990326642990112,
+      "learning_rate": 0.0001842898271817208,
+      "loss": 1.4235,
+      "step": 542
+    },
+    {
+      "epoch": 0.5431527617142321,
+      "grad_norm": 0.583871603012085,
+      "learning_rate": 0.00018423337761120618,
+      "loss": 1.5283,
+      "step": 543
+    },
+    {
+      "epoch": 0.544153043043356,
+      "grad_norm": 0.5585455894470215,
+      "learning_rate": 0.00018417683548344318,
+      "loss": 1.4875,
+      "step": 544
+    },
+    {
+      "epoch": 0.5451533243724798,
+      "grad_norm": 0.5199955701828003,
+      "learning_rate": 0.00018412020086056133,
+      "loss": 1.3989,
+      "step": 545
+    },
+    {
+      "epoch": 0.5461536057016035,
+      "grad_norm": 0.5517343878746033,
+      "learning_rate": 0.0001840634738047918,
+      "loss": 1.4073,
+      "step": 546
+    },
+    {
+      "epoch": 0.5471538870307274,
+      "grad_norm": 0.7140716314315796,
+      "learning_rate": 0.0001840066543784675,
+      "loss": 1.4477,
+      "step": 547
+    },
+    {
+      "epoch": 0.5481541683598512,
+      "grad_norm": 0.548422634601593,
+      "learning_rate": 0.00018394974264402257,
+      "loss": 1.4198,
+      "step": 548
+    },
+    {
+      "epoch": 0.549154449688975,
+      "grad_norm": 0.5907624363899231,
+      "learning_rate": 0.00018389273866399275,
+      "loss": 1.4033,
+      "step": 549
+    },
+    {
+      "epoch": 0.5501547310180989,
+      "grad_norm": 0.5327603220939636,
+      "learning_rate": 0.00018383564250101512,
+      "loss": 1.2674,
+      "step": 550
+    },
+    {
+      "epoch": 0.5511550123472226,
+      "grad_norm": 0.4678132236003876,
+      "learning_rate": 0.000183778454217828,
+      "loss": 1.3644,
+      "step": 551
+    },
+    {
+      "epoch": 0.5521552936763465,
+      "grad_norm": 0.674040675163269,
+      "learning_rate": 0.0001837211738772711,
+      "loss": 1.6942,
+      "step": 552
+    },
+    {
+      "epoch": 0.5531555750054703,
+      "grad_norm": 0.5374539494514465,
+      "learning_rate": 0.000183663801542285,
+      "loss": 1.1887,
+      "step": 553
+    },
+    {
+      "epoch": 0.5541558563345941,
+      "grad_norm": 0.5528072118759155,
+      "learning_rate": 0.00018360633727591155,
+      "loss": 1.2,
+      "step": 554
+    },
+    {
+      "epoch": 0.555156137663718,
+      "grad_norm": 0.6597411632537842,
+      "learning_rate": 0.00018354878114129367,
+      "loss": 1.402,
+      "step": 555
+    },
+    {
+      "epoch": 0.5561564189928417,
+      "grad_norm": 0.5931501388549805,
+      "learning_rate": 0.00018349113320167504,
+      "loss": 1.5583,
+      "step": 556
+    },
+    {
+      "epoch": 0.5571567003219655,
+      "grad_norm": 0.6331121921539307,
+      "learning_rate": 0.00018343339352040042,
+      "loss": 1.7882,
+      "step": 557
+    },
+    {
+      "epoch": 0.5581569816510894,
+      "grad_norm": 0.5221824645996094,
+      "learning_rate": 0.00018337556216091517,
+      "loss": 1.2457,
+      "step": 558
+    },
+    {
+      "epoch": 0.5591572629802132,
+      "grad_norm": 0.6008853912353516,
+      "learning_rate": 0.00018331763918676556,
+      "loss": 1.5916,
+      "step": 559
+    },
+    {
+      "epoch": 0.560157544309337,
+      "grad_norm": 0.5409006476402283,
+      "learning_rate": 0.00018325962466159848,
+      "loss": 1.3457,
+      "step": 560
+    },
+    {
+      "epoch": 0.5611578256384608,
+      "grad_norm": 0.5095859169960022,
+      "learning_rate": 0.00018320151864916135,
+      "loss": 1.3622,
+      "step": 561
+    },
+    {
+      "epoch": 0.5621581069675846,
+      "grad_norm": 0.5716331005096436,
+      "learning_rate": 0.00018314332121330225,
+      "loss": 1.6168,
+      "step": 562
+    },
+    {
+      "epoch": 0.5631583882967085,
+      "grad_norm": 0.600307047367096,
+      "learning_rate": 0.0001830850324179695,
+      "loss": 1.4117,
+      "step": 563
+    },
+    {
+      "epoch": 0.5641586696258323,
+      "grad_norm": 0.7528484463691711,
+      "learning_rate": 0.00018302665232721208,
+      "loss": 1.3418,
+      "step": 564
+    },
+    {
+      "epoch": 0.565158950954956,
+      "grad_norm": 0.6119087338447571,
+      "learning_rate": 0.0001829681810051791,
+      "loss": 1.4908,
+      "step": 565
+    },
+    {
+      "epoch": 0.5661592322840799,
+      "grad_norm": 0.6440190672874451,
+      "learning_rate": 0.00018290961851611995,
+      "loss": 1.3511,
+      "step": 566
+    },
+    {
+      "epoch": 0.5671595136132037,
+      "grad_norm": 0.647294282913208,
+      "learning_rate": 0.00018285096492438424,
+      "loss": 1.5165,
+      "step": 567
+    },
+    {
+      "epoch": 0.5681597949423275,
+      "grad_norm": 0.5499668717384338,
+      "learning_rate": 0.00018279222029442163,
+      "loss": 1.2876,
+      "step": 568
+    },
+    {
+      "epoch": 0.5691600762714514,
+      "grad_norm": 0.5629482865333557,
+      "learning_rate": 0.00018273338469078186,
+      "loss": 1.2256,
+      "step": 569
+    },
+    {
+      "epoch": 0.5701603576005752,
+      "grad_norm": 0.48661288619041443,
+      "learning_rate": 0.00018267445817811466,
+      "loss": 1.44,
+      "step": 570
+    },
+    {
+      "epoch": 0.5711606389296989,
+      "grad_norm": 0.5713567733764648,
+      "learning_rate": 0.00018261544082116954,
+      "loss": 1.741,
+      "step": 571
+    },
+    {
+      "epoch": 0.5721609202588228,
+      "grad_norm": 0.6130850315093994,
+      "learning_rate": 0.00018255633268479595,
+      "loss": 1.526,
+      "step": 572
+    },
+    {
+      "epoch": 0.5731612015879466,
+      "grad_norm": 0.5415536761283875,
+      "learning_rate": 0.00018249713383394303,
+      "loss": 1.2405,
+      "step": 573
+    },
+    {
+      "epoch": 0.5741614829170705,
+      "grad_norm": 0.600574791431427,
+      "learning_rate": 0.0001824378443336596,
+      "loss": 1.4534,
+      "step": 574
+    },
+    {
+      "epoch": 0.5751617642461943,
+      "grad_norm": 0.5479387044906616,
+      "learning_rate": 0.00018237846424909413,
+      "loss": 1.4277,
+      "step": 575
+    },
+    {
+      "epoch": 0.576162045575318,
+      "grad_norm": 0.5536132454872131,
+      "learning_rate": 0.00018231899364549455,
+      "loss": 1.3918,
+      "step": 576
+    },
+    {
+      "epoch": 0.5771623269044419,
+      "grad_norm": 0.6228598356246948,
+      "learning_rate": 0.00018225943258820833,
+      "loss": 1.413,
+      "step": 577
+    },
+    {
+      "epoch": 0.5781626082335657,
+      "grad_norm": 0.5498123168945312,
+      "learning_rate": 0.00018219978114268227,
+      "loss": 1.3558,
+      "step": 578
+    },
+    {
+      "epoch": 0.5791628895626895,
+      "grad_norm": 0.5427498817443848,
+      "learning_rate": 0.00018214003937446253,
+      "loss": 1.509,
+      "step": 579
+    },
+    {
+      "epoch": 0.5801631708918134,
+      "grad_norm": 0.522285521030426,
+      "learning_rate": 0.00018208020734919455,
+      "loss": 1.3847,
+      "step": 580
+    },
+    {
+      "epoch": 0.5811634522209371,
+      "grad_norm": 0.5963860750198364,
+      "learning_rate": 0.00018202028513262288,
+      "loss": 1.4605,
+      "step": 581
+    },
+    {
+      "epoch": 0.5821637335500609,
+      "grad_norm": 0.4854499101638794,
+      "learning_rate": 0.00018196027279059117,
+      "loss": 1.4968,
+      "step": 582
+    },
+    {
+      "epoch": 0.5831640148791848,
+      "grad_norm": 0.503466010093689,
+      "learning_rate": 0.00018190017038904215,
+      "loss": 1.2568,
+      "step": 583
+    },
+    {
+      "epoch": 0.5841642962083086,
+      "grad_norm": 0.6027483940124512,
+      "learning_rate": 0.0001818399779940175,
+      "loss": 1.5744,
+      "step": 584
+    },
+    {
+      "epoch": 0.5851645775374325,
+      "grad_norm": 0.5450258851051331,
+      "learning_rate": 0.0001817796956716578,
+      "loss": 1.2672,
+      "step": 585
+    },
+    {
+      "epoch": 0.5861648588665562,
+      "grad_norm": 0.5376724600791931,
+      "learning_rate": 0.00018171932348820234,
+      "loss": 1.5099,
+      "step": 586
+    },
+    {
+      "epoch": 0.58716514019568,
+      "grad_norm": 0.513921856880188,
+      "learning_rate": 0.0001816588615099893,
+      "loss": 1.3213,
+      "step": 587
+    },
+    {
+      "epoch": 0.5881654215248039,
+      "grad_norm": 0.7540159225463867,
+      "learning_rate": 0.00018159830980345548,
+      "loss": 1.2231,
+      "step": 588
+    },
+    {
+      "epoch": 0.5891657028539277,
+      "grad_norm": 0.5917702317237854,
+      "learning_rate": 0.0001815376684351362,
+      "loss": 1.6094,
+      "step": 589
+    },
+    {
+      "epoch": 0.5901659841830514,
+      "grad_norm": 0.5507463216781616,
+      "learning_rate": 0.00018147693747166534,
+      "loss": 1.3904,
+      "step": 590
+    },
+    {
+      "epoch": 0.5911662655121753,
+      "grad_norm": 0.545695960521698,
+      "learning_rate": 0.00018141611697977529,
+      "loss": 1.5172,
+      "step": 591
+    },
+    {
+      "epoch": 0.5921665468412991,
+      "grad_norm": 0.5876530408859253,
+      "learning_rate": 0.00018135520702629675,
+      "loss": 1.3676,
+      "step": 592
+    },
+    {
+      "epoch": 0.5931668281704229,
+      "grad_norm": 0.5510894060134888,
+      "learning_rate": 0.0001812942076781588,
+      "loss": 1.4379,
+      "step": 593
+    },
+    {
+      "epoch": 0.5941671094995468,
+      "grad_norm": 0.5105913877487183,
+      "learning_rate": 0.0001812331190023886,
+      "loss": 1.3687,
+      "step": 594
+    },
+    {
+      "epoch": 0.5951673908286705,
+      "grad_norm": 0.47876060009002686,
+      "learning_rate": 0.0001811719410661116,
+      "loss": 1.3178,
+      "step": 595
+    },
+    {
+      "epoch": 0.5961676721577944,
+      "grad_norm": 0.6079074144363403,
+      "learning_rate": 0.00018111067393655132,
+      "loss": 1.4713,
+      "step": 596
+    },
+    {
+      "epoch": 0.5971679534869182,
+      "grad_norm": 0.5363487601280212,
+      "learning_rate": 0.0001810493176810292,
+      "loss": 1.1868,
+      "step": 597
+    },
+    {
+      "epoch": 0.598168234816042,
+      "grad_norm": 0.5252292156219482,
+      "learning_rate": 0.00018098787236696474,
+      "loss": 1.303,
+      "step": 598
+    },
+    {
+      "epoch": 0.5991685161451659,
+      "grad_norm": 0.5377137064933777,
+      "learning_rate": 0.00018092633806187513,
+      "loss": 1.3653,
+      "step": 599
+    },
+    {
+      "epoch": 0.6001687974742896,
+      "grad_norm": 0.5274302363395691,
+      "learning_rate": 0.0001808647148333755,
+      "loss": 1.3693,
+      "step": 600
+    },
+    {
+      "epoch": 0.6011690788034134,
+      "grad_norm": 0.5664658546447754,
+      "learning_rate": 0.00018080300274917862,
+      "loss": 1.3807,
+      "step": 601
+    },
+    {
+      "epoch": 0.6021693601325373,
+      "grad_norm": 0.6609538197517395,
+      "learning_rate": 0.00018074120187709495,
+      "loss": 1.5015,
+      "step": 602
+    },
+    {
+      "epoch": 0.6031696414616611,
+      "grad_norm": 0.4943195879459381,
+      "learning_rate": 0.00018067931228503246,
+      "loss": 1.4436,
+      "step": 603
+    },
+    {
+      "epoch": 0.604169922790785,
+      "grad_norm": 0.549712598323822,
+      "learning_rate": 0.00018061733404099655,
+      "loss": 1.455,
+      "step": 604
+    },
+    {
+      "epoch": 0.6051702041199087,
+      "grad_norm": 0.5765941143035889,
+      "learning_rate": 0.00018055526721309016,
+      "loss": 1.3317,
+      "step": 605
+    },
+    {
+      "epoch": 0.6061704854490325,
+      "grad_norm": 0.5223068594932556,
+      "learning_rate": 0.0001804931118695135,
+      "loss": 1.3456,
+      "step": 606
+    },
+    {
+      "epoch": 0.6071707667781564,
+      "grad_norm": 0.5385129451751709,
+      "learning_rate": 0.00018043086807856403,
+      "loss": 1.3388,
+      "step": 607
+    },
+    {
+      "epoch": 0.6081710481072802,
+      "grad_norm": 0.5244528651237488,
+      "learning_rate": 0.00018036853590863648,
+      "loss": 1.398,
+      "step": 608
+    },
+    {
+      "epoch": 0.609171329436404,
+      "grad_norm": 0.5274112224578857,
+      "learning_rate": 0.00018030611542822257,
+      "loss": 1.3105,
+      "step": 609
+    },
+    {
+      "epoch": 0.6101716107655278,
+      "grad_norm": 0.5351893305778503,
+      "learning_rate": 0.00018024360670591114,
+      "loss": 1.3128,
+      "step": 610
+    },
+    {
+      "epoch": 0.6111718920946516,
+      "grad_norm": 0.5729460120201111,
+      "learning_rate": 0.00018018100981038798,
+      "loss": 1.3606,
+      "step": 611
+    },
+    {
+      "epoch": 0.6121721734237754,
+      "grad_norm": 0.5494408011436462,
+      "learning_rate": 0.00018011832481043576,
+      "loss": 1.4517,
+      "step": 612
+    },
+    {
+      "epoch": 0.6131724547528993,
+      "grad_norm": 0.5205882787704468,
+      "learning_rate": 0.00018005555177493394,
+      "loss": 1.4943,
+      "step": 613
+    },
+    {
+      "epoch": 0.614172736082023,
+      "grad_norm": 0.5488479137420654,
+      "learning_rate": 0.00017999269077285875,
+      "loss": 1.3939,
+      "step": 614
+    },
+    {
+      "epoch": 0.6151730174111469,
+      "grad_norm": 0.5779786109924316,
+      "learning_rate": 0.00017992974187328305,
+      "loss": 1.5744,
+      "step": 615
+    },
+    {
+      "epoch": 0.6161732987402707,
+      "grad_norm": 0.5576769113540649,
+      "learning_rate": 0.00017986670514537627,
+      "loss": 1.2284,
+      "step": 616
+    },
+    {
+      "epoch": 0.6171735800693945,
+      "grad_norm": 0.4912784993648529,
+      "learning_rate": 0.00017980358065840444,
+      "loss": 1.292,
+      "step": 617
+    },
+    {
+      "epoch": 0.6181738613985184,
+      "grad_norm": 0.657666027545929,
+      "learning_rate": 0.0001797403684817299,
+      "loss": 1.4918,
+      "step": 618
+    },
+    {
+      "epoch": 0.6191741427276422,
+      "grad_norm": 0.5642833113670349,
+      "learning_rate": 0.00017967706868481144,
+      "loss": 1.4718,
+      "step": 619
+    },
+    {
+      "epoch": 0.6201744240567659,
+      "grad_norm": 0.7243106961250305,
+      "learning_rate": 0.00017961368133720407,
+      "loss": 1.4342,
+      "step": 620
+    },
+    {
+      "epoch": 0.6211747053858898,
+      "grad_norm": 0.4982456564903259,
+      "learning_rate": 0.000179550206508559,
+      "loss": 1.4478,
+      "step": 621
+    },
+    {
+      "epoch": 0.6221749867150136,
+      "grad_norm": 0.5249592065811157,
+      "learning_rate": 0.00017948664426862364,
+      "loss": 1.485,
+      "step": 622
+    },
+    {
+      "epoch": 0.6231752680441374,
+      "grad_norm": 0.6167681217193604,
+      "learning_rate": 0.00017942299468724134,
+      "loss": 1.4813,
+      "step": 623
+    },
+    {
+      "epoch": 0.6241755493732613,
+      "grad_norm": 0.5300460457801819,
+      "learning_rate": 0.0001793592578343515,
+      "loss": 1.1364,
+      "step": 624
+    },
+    {
+      "epoch": 0.625175830702385,
+      "grad_norm": 0.5908417105674744,
+      "learning_rate": 0.0001792954337799894,
+      "loss": 1.4402,
+      "step": 625
+    },
+    {
+      "epoch": 0.6261761120315089,
+      "grad_norm": 0.5684035420417786,
+      "learning_rate": 0.00017923152259428612,
+      "loss": 1.4847,
+      "step": 626
+    },
+    {
+      "epoch": 0.6271763933606327,
+      "grad_norm": 0.5421493053436279,
+      "learning_rate": 0.00017916752434746856,
+      "loss": 1.3348,
+      "step": 627
+    },
+    {
+      "epoch": 0.6281766746897565,
+      "grad_norm": 0.5295160412788391,
+      "learning_rate": 0.0001791034391098591,
+      "loss": 1.4703,
+      "step": 628
+    },
+    {
+      "epoch": 0.6291769560188804,
+      "grad_norm": 0.5196051001548767,
+      "learning_rate": 0.00017903926695187595,
+      "loss": 1.3478,
+      "step": 629
+    },
+    {
+      "epoch": 0.6301772373480041,
+      "grad_norm": 0.4994469881057739,
+      "learning_rate": 0.0001789750079440326,
+      "loss": 1.2368,
+      "step": 630
+    },
+    {
+      "epoch": 0.6311775186771279,
+      "grad_norm": 0.5117055177688599,
+      "learning_rate": 0.00017891066215693817,
+      "loss": 1.3429,
+      "step": 631
+    },
+    {
+      "epoch": 0.6321778000062518,
+      "grad_norm": 0.49438026547431946,
+      "learning_rate": 0.00017884622966129695,
+      "loss": 1.301,
+      "step": 632
+    },
+    {
+      "epoch": 0.6331780813353756,
+      "grad_norm": 0.6113334894180298,
+      "learning_rate": 0.00017878171052790868,
+      "loss": 1.4636,
+      "step": 633
+    },
+    {
+      "epoch": 0.6341783626644993,
+      "grad_norm": 0.6063141822814941,
+      "learning_rate": 0.00017871710482766817,
+      "loss": 1.2262,
+      "step": 634
+    },
+    {
+      "epoch": 0.6351786439936232,
+      "grad_norm": 0.5604403614997864,
+      "learning_rate": 0.00017865241263156546,
+      "loss": 1.4112,
+      "step": 635
+    },
+    {
+      "epoch": 0.636178925322747,
+      "grad_norm": 0.523415207862854,
+      "learning_rate": 0.0001785876340106855,
+      "loss": 1.3281,
+      "step": 636
+    },
+    {
+      "epoch": 0.6371792066518709,
+      "grad_norm": 0.5602991580963135,
+      "learning_rate": 0.0001785227690362083,
+      "loss": 1.44,
+      "step": 637
+    },
+    {
+      "epoch": 0.6381794879809947,
+      "grad_norm": 0.46946853399276733,
+      "learning_rate": 0.00017845781777940878,
+      "loss": 1.2956,
+      "step": 638
+    },
+    {
+      "epoch": 0.6391797693101184,
+      "grad_norm": 0.5586503744125366,
+      "learning_rate": 0.00017839278031165658,
+      "loss": 1.5419,
+      "step": 639
+    },
+    {
+      "epoch": 0.6401800506392423,
+      "grad_norm": 0.5270752310752869,
+      "learning_rate": 0.00017832765670441612,
+      "loss": 1.305,
+      "step": 640
+    },
+    {
+      "epoch": 0.6411803319683661,
+      "grad_norm": 0.57756108045578,
+      "learning_rate": 0.0001782624470292465,
+      "loss": 1.2145,
+      "step": 641
+    },
+    {
+      "epoch": 0.6421806132974899,
+      "grad_norm": 0.5709058046340942,
+      "learning_rate": 0.0001781971513578013,
+      "loss": 1.4804,
+      "step": 642
+    },
+    {
+      "epoch": 0.6431808946266138,
+      "grad_norm": 0.505849301815033,
+      "learning_rate": 0.00017813176976182873,
+      "loss": 1.3964,
+      "step": 643
+    },
+    {
+      "epoch": 0.6441811759557375,
+      "grad_norm": 0.5171617269515991,
+      "learning_rate": 0.00017806630231317127,
+      "loss": 1.3283,
+      "step": 644
+    },
+    {
+      "epoch": 0.6451814572848613,
+      "grad_norm": 0.5567512512207031,
+      "learning_rate": 0.00017800074908376584,
+      "loss": 1.481,
+      "step": 645
+    },
+    {
+      "epoch": 0.6461817386139852,
+      "grad_norm": 0.5000666379928589,
+      "learning_rate": 0.00017793511014564358,
+      "loss": 1.2856,
+      "step": 646
+    },
+    {
+      "epoch": 0.647182019943109,
+      "grad_norm": 0.49550777673721313,
+      "learning_rate": 0.00017786938557092983,
+      "loss": 1.3447,
+      "step": 647
+    },
+    {
+      "epoch": 0.6481823012722329,
+      "grad_norm": 0.5904624462127686,
+      "learning_rate": 0.00017780357543184397,
+      "loss": 1.241,
+      "step": 648
+    },
+    {
+      "epoch": 0.6491825826013566,
+      "grad_norm": 0.4615901708602905,
+      "learning_rate": 0.00017773767980069945,
+      "loss": 1.3436,
+      "step": 649
+    },
+    {
+      "epoch": 0.6501828639304804,
+      "grad_norm": 0.48083069920539856,
+      "learning_rate": 0.0001776716987499037,
+      "loss": 1.3906,
+      "step": 650
+    },
+    {
+      "epoch": 0.6511831452596043,
+      "grad_norm": 0.4525931775569916,
+      "learning_rate": 0.0001776056323519579,
+      "loss": 1.3417,
+      "step": 651
+    },
+    {
+      "epoch": 0.6521834265887281,
+      "grad_norm": 0.6179555058479309,
+      "learning_rate": 0.00017753948067945712,
+      "loss": 1.3438,
+      "step": 652
+    },
+    {
+      "epoch": 0.6531837079178519,
+      "grad_norm": 0.5525293946266174,
+      "learning_rate": 0.00017747324380509006,
+      "loss": 1.4551,
+      "step": 653
+    },
+    {
+      "epoch": 0.6541839892469757,
+      "grad_norm": 0.533028781414032,
+      "learning_rate": 0.00017740692180163908,
+      "loss": 1.4396,
+      "step": 654
+    },
+    {
+      "epoch": 0.6551842705760995,
+      "grad_norm": 0.5196881890296936,
+      "learning_rate": 0.00017734051474198003,
+      "loss": 1.3032,
+      "step": 655
+    },
+    {
+      "epoch": 0.6561845519052233,
+      "grad_norm": 0.5190469622612,
+      "learning_rate": 0.0001772740226990823,
+      "loss": 1.4049,
+      "step": 656
+    },
+    {
+      "epoch": 0.6571848332343472,
+      "grad_norm": 0.49517175555229187,
+      "learning_rate": 0.00017720744574600863,
+      "loss": 1.3696,
+      "step": 657
+    },
+    {
+      "epoch": 0.658185114563471,
+      "grad_norm": 0.5165138244628906,
+      "learning_rate": 0.00017714078395591502,
+      "loss": 1.3667,
+      "step": 658
+    },
+    {
+      "epoch": 0.6591853958925948,
+      "grad_norm": 0.5624507665634155,
+      "learning_rate": 0.00017707403740205071,
+      "loss": 1.2109,
+      "step": 659
+    },
+    {
+      "epoch": 0.6601856772217186,
+      "grad_norm": 0.45942649245262146,
+      "learning_rate": 0.00017700720615775812,
+      "loss": 1.259,
+      "step": 660
+    },
+    {
+      "epoch": 0.6611859585508424,
+      "grad_norm": 0.5019019842147827,
+      "learning_rate": 0.0001769402902964727,
+      "loss": 1.3739,
+      "step": 661
+    },
+    {
+      "epoch": 0.6621862398799663,
+      "grad_norm": 0.4661652743816376,
+      "learning_rate": 0.00017687328989172288,
+      "loss": 1.2606,
+      "step": 662
+    },
+    {
+      "epoch": 0.66318652120909,
+      "grad_norm": 0.5310545563697815,
+      "learning_rate": 0.00017680620501712996,
+      "loss": 1.3406,
+      "step": 663
+    },
+    {
+      "epoch": 0.6641868025382138,
+      "grad_norm": 0.5190532207489014,
+      "learning_rate": 0.00017673903574640814,
+      "loss": 1.3052,
+      "step": 664
+    },
+    {
+      "epoch": 0.6651870838673377,
+      "grad_norm": 0.5265533328056335,
+      "learning_rate": 0.00017667178215336423,
+      "loss": 1.2326,
+      "step": 665
+    },
+    {
+      "epoch": 0.6661873651964615,
+      "grad_norm": 0.5971291065216064,
+      "learning_rate": 0.0001766044443118978,
+      "loss": 1.4291,
+      "step": 666
+    },
+    {
+      "epoch": 0.6671876465255854,
+      "grad_norm": 0.5295760631561279,
+      "learning_rate": 0.000176537022296001,
+      "loss": 1.2781,
+      "step": 667
+    },
+    {
+      "epoch": 0.6681879278547092,
+      "grad_norm": 0.5124595761299133,
+      "learning_rate": 0.00017646951617975837,
+      "loss": 1.318,
+      "step": 668
+    },
+    {
+      "epoch": 0.6691882091838329,
+      "grad_norm": 0.5968078970909119,
+      "learning_rate": 0.00017640192603734692,
+      "loss": 1.1483,
+      "step": 669
+    },
+    {
+      "epoch": 0.6701884905129568,
+      "grad_norm": 0.6211404204368591,
+      "learning_rate": 0.00017633425194303606,
+      "loss": 1.1164,
+      "step": 670
+    },
+    {
+      "epoch": 0.6711887718420806,
+      "grad_norm": 0.5539883375167847,
+      "learning_rate": 0.00017626649397118734,
+      "loss": 1.453,
+      "step": 671
+    },
+    {
+      "epoch": 0.6721890531712044,
+      "grad_norm": 0.5188294649124146,
+      "learning_rate": 0.00017619865219625452,
+      "loss": 1.5201,
+      "step": 672
+    },
+    {
+      "epoch": 0.6731893345003283,
+      "grad_norm": 0.531973659992218,
+      "learning_rate": 0.00017613072669278343,
+      "loss": 1.3176,
+      "step": 673
+    },
+    {
+      "epoch": 0.674189615829452,
+      "grad_norm": 0.5878707766532898,
+      "learning_rate": 0.00017606271753541192,
+      "loss": 1.5326,
+      "step": 674
+    },
+    {
+      "epoch": 0.6751898971585758,
+      "grad_norm": 0.595443844795227,
+      "learning_rate": 0.00017599462479886974,
+      "loss": 1.4033,
+      "step": 675
+    },
+    {
+      "epoch": 0.6761901784876997,
+      "grad_norm": 0.5093846321105957,
+      "learning_rate": 0.00017592644855797854,
+      "loss": 1.2995,
+      "step": 676
+    },
+    {
+      "epoch": 0.6771904598168235,
+      "grad_norm": 0.5521978735923767,
+      "learning_rate": 0.00017585818888765168,
+      "loss": 1.2912,
+      "step": 677
+    },
+    {
+      "epoch": 0.6781907411459474,
+      "grad_norm": 0.4612530469894409,
+      "learning_rate": 0.0001757898458628941,
+      "loss": 1.1902,
+      "step": 678
+    },
+    {
+      "epoch": 0.6791910224750711,
+      "grad_norm": 0.4973600506782532,
+      "learning_rate": 0.00017572141955880252,
+      "loss": 1.3547,
+      "step": 679
+    },
+    {
+      "epoch": 0.6801913038041949,
+      "grad_norm": 0.606407105922699,
+      "learning_rate": 0.00017565291005056504,
+      "loss": 1.371,
+      "step": 680
+    },
+    {
+      "epoch": 0.6811915851333188,
+      "grad_norm": 0.5027814507484436,
+      "learning_rate": 0.00017558431741346122,
+      "loss": 1.4551,
+      "step": 681
+    },
+    {
+      "epoch": 0.6821918664624426,
+      "grad_norm": 0.5732039213180542,
+      "learning_rate": 0.00017551564172286197,
+      "loss": 1.4181,
+      "step": 682
+    },
+    {
+      "epoch": 0.6831921477915663,
+      "grad_norm": 0.6327995657920837,
+      "learning_rate": 0.00017544688305422943,
+      "loss": 1.237,
+      "step": 683
+    },
+    {
+      "epoch": 0.6841924291206902,
+      "grad_norm": 0.5779625177383423,
+      "learning_rate": 0.00017537804148311695,
+      "loss": 1.5356,
+      "step": 684
+    },
+    {
+      "epoch": 0.685192710449814,
+      "grad_norm": 0.6031951308250427,
+      "learning_rate": 0.00017530911708516902,
+      "loss": 1.3776,
+      "step": 685
+    },
+    {
+      "epoch": 0.6861929917789378,
+      "grad_norm": 0.4811258018016815,
+      "learning_rate": 0.00017524010993612098,
+      "loss": 1.185,
+      "step": 686
+    },
+    {
+      "epoch": 0.6871932731080617,
+      "grad_norm": 0.5048002600669861,
+      "learning_rate": 0.00017517102011179933,
+      "loss": 1.3335,
+      "step": 687
+    },
+    {
+      "epoch": 0.6881935544371854,
+      "grad_norm": 0.5963343977928162,
+      "learning_rate": 0.0001751018476881212,
+      "loss": 1.4326,
+      "step": 688
+    },
+    {
+      "epoch": 0.6891938357663093,
+      "grad_norm": 0.4770168960094452,
+      "learning_rate": 0.00017503259274109464,
+      "loss": 1.4664,
+      "step": 689
+    },
+    {
+      "epoch": 0.6901941170954331,
+      "grad_norm": 0.5020537376403809,
+      "learning_rate": 0.00017496325534681825,
+      "loss": 1.349,
+      "step": 690
+    },
+    {
+      "epoch": 0.6911943984245569,
+      "grad_norm": 0.5567785501480103,
+      "learning_rate": 0.00017489383558148136,
+      "loss": 1.452,
+      "step": 691
+    },
+    {
+      "epoch": 0.6921946797536808,
+      "grad_norm": 0.5167350769042969,
+      "learning_rate": 0.00017482433352136365,
+      "loss": 1.1148,
+      "step": 692
+    },
+    {
+      "epoch": 0.6931949610828045,
+      "grad_norm": 0.6030716300010681,
+      "learning_rate": 0.00017475474924283536,
+      "loss": 1.3473,
+      "step": 693
+    },
+    {
+      "epoch": 0.6941952424119283,
+      "grad_norm": 0.5643062591552734,
+      "learning_rate": 0.00017468508282235704,
+      "loss": 1.3476,
+      "step": 694
+    },
+    {
+      "epoch": 0.6951955237410522,
+      "grad_norm": 0.5124102234840393,
+      "learning_rate": 0.00017461533433647946,
+      "loss": 1.339,
+      "step": 695
+    },
+    {
+      "epoch": 0.696195805070176,
+      "grad_norm": 0.5690215229988098,
+      "learning_rate": 0.00017454550386184362,
+      "loss": 1.3816,
+      "step": 696
+    },
+    {
+      "epoch": 0.6971960863992998,
+      "grad_norm": 0.5938367247581482,
+      "learning_rate": 0.00017447559147518055,
+      "loss": 1.4554,
+      "step": 697
+    },
+    {
+      "epoch": 0.6981963677284236,
+      "grad_norm": 0.5288996696472168,
+      "learning_rate": 0.00017440559725331135,
+      "loss": 1.2904,
+      "step": 698
+    },
+    {
+      "epoch": 0.6991966490575474,
+      "grad_norm": 0.5047140121459961,
+      "learning_rate": 0.000174335521273147,
+      "loss": 1.2362,
+      "step": 699
+    },
+    {
+      "epoch": 0.7001969303866713,
+      "grad_norm": 0.5563321709632874,
+      "learning_rate": 0.00017426536361168834,
+      "loss": 1.2863,
+      "step": 700
+    },
+    {
+      "epoch": 0.7011972117157951,
+      "grad_norm": 0.48857688903808594,
+      "learning_rate": 0.00017419512434602594,
+      "loss": 1.3387,
+      "step": 701
+    },
+    {
+      "epoch": 0.7021974930449189,
+      "grad_norm": 0.5205016732215881,
+      "learning_rate": 0.00017412480355334005,
+      "loss": 1.3874,
+      "step": 702
+    },
+    {
+      "epoch": 0.7031977743740427,
+      "grad_norm": 0.5850381851196289,
+      "learning_rate": 0.00017405440131090048,
+      "loss": 1.5369,
+      "step": 703
+    },
+    {
+      "epoch": 0.7041980557031665,
+      "grad_norm": 0.5708681344985962,
+      "learning_rate": 0.00017398391769606658,
+      "loss": 1.3622,
+      "step": 704
+    },
+    {
+      "epoch": 0.7051983370322903,
+      "grad_norm": 0.5743641257286072,
+      "learning_rate": 0.00017391335278628712,
+      "loss": 1.2946,
+      "step": 705
+    },
+    {
+      "epoch": 0.7061986183614142,
+      "grad_norm": 0.5376024842262268,
+      "learning_rate": 0.00017384270665910014,
+      "loss": 1.2952,
+      "step": 706
+    },
+    {
+      "epoch": 0.707198899690538,
+      "grad_norm": 0.6123641133308411,
+      "learning_rate": 0.000173771979392133,
+      "loss": 1.4239,
+      "step": 707
+    },
+    {
+      "epoch": 0.7081991810196617,
+      "grad_norm": 0.5639240741729736,
+      "learning_rate": 0.00017370117106310214,
+      "loss": 1.3627,
+      "step": 708
+    },
+    {
+      "epoch": 0.7091994623487856,
+      "grad_norm": 0.5551653504371643,
+      "learning_rate": 0.0001736302817498131,
+      "loss": 1.3435,
+      "step": 709
+    },
+    {
+      "epoch": 0.7101997436779094,
+      "grad_norm": 0.4746958911418915,
+      "learning_rate": 0.00017355931153016044,
+      "loss": 1.2402,
+      "step": 710
+    },
+    {
+      "epoch": 0.7112000250070333,
+      "grad_norm": 0.4722553491592407,
+      "learning_rate": 0.0001734882604821276,
+      "loss": 1.3962,
+      "step": 711
+    },
+    {
+      "epoch": 0.712200306336157,
+      "grad_norm": 0.5038101077079773,
+      "learning_rate": 0.0001734171286837868,
+      "loss": 1.3261,
+      "step": 712
+    },
+    {
+      "epoch": 0.7132005876652808,
+      "grad_norm": 0.5004639625549316,
+      "learning_rate": 0.00017334591621329906,
+      "loss": 1.4943,
+      "step": 713
+    },
+    {
+      "epoch": 0.7142008689944047,
+      "grad_norm": 0.5141516327857971,
+      "learning_rate": 0.00017327462314891402,
+      "loss": 1.2754,
+      "step": 714
+    },
+    {
+      "epoch": 0.7152011503235285,
+      "grad_norm": 0.5491873025894165,
+      "learning_rate": 0.00017320324956896977,
+      "loss": 1.3052,
+      "step": 715
+    },
+    {
+      "epoch": 0.7162014316526523,
+      "grad_norm": 0.49937358498573303,
+      "learning_rate": 0.00017313179555189306,
+      "loss": 1.2277,
+      "step": 716
+    },
+    {
+      "epoch": 0.7172017129817762,
+      "grad_norm": 0.6419594287872314,
+      "learning_rate": 0.00017306026117619889,
+      "loss": 1.4844,
+      "step": 717
+    },
+    {
+      "epoch": 0.7182019943108999,
+      "grad_norm": 0.521108090877533,
+      "learning_rate": 0.0001729886465204906,
+      "loss": 1.2917,
+      "step": 718
+    },
+    {
+      "epoch": 0.7192022756400237,
+      "grad_norm": 0.532421886920929,
+      "learning_rate": 0.0001729169516634598,
+      "loss": 1.4555,
+      "step": 719
+    },
+    {
+      "epoch": 0.7202025569691476,
+      "grad_norm": 0.5168073177337646,
+      "learning_rate": 0.0001728451766838861,
+      "loss": 1.2116,
+      "step": 720
+    },
+    {
+      "epoch": 0.7212028382982714,
+      "grad_norm": 0.5593972206115723,
+      "learning_rate": 0.00017277332166063726,
+      "loss": 1.4345,
+      "step": 721
+    },
+    {
+      "epoch": 0.7222031196273953,
+      "grad_norm": 0.5317432284355164,
+      "learning_rate": 0.00017270138667266894,
+      "loss": 1.2987,
+      "step": 722
+    },
+    {
+      "epoch": 0.723203400956519,
+      "grad_norm": 0.6262248158454895,
+      "learning_rate": 0.00017262937179902472,
+      "loss": 1.2591,
+      "step": 723
+    },
+    {
+      "epoch": 0.7242036822856428,
+      "grad_norm": 0.5377100110054016,
+      "learning_rate": 0.00017255727711883588,
+      "loss": 1.366,
+      "step": 724
+    },
+    {
+      "epoch": 0.7252039636147667,
+      "grad_norm": 0.5637168288230896,
+      "learning_rate": 0.00017248510271132144,
+      "loss": 1.4593,
+      "step": 725
+    },
+    {
+      "epoch": 0.7262042449438905,
+      "grad_norm": 0.5360320210456848,
+      "learning_rate": 0.00017241284865578802,
+      "loss": 1.4797,
+      "step": 726
+    },
+    {
+      "epoch": 0.7272045262730142,
+      "grad_norm": 0.48500168323516846,
+      "learning_rate": 0.00017234051503162978,
+      "loss": 1.3875,
+      "step": 727
+    },
+    {
+      "epoch": 0.7282048076021381,
+      "grad_norm": 0.5666176080703735,
+      "learning_rate": 0.0001722681019183283,
+      "loss": 1.4683,
+      "step": 728
+    },
+    {
+      "epoch": 0.7292050889312619,
+      "grad_norm": 0.5710940361022949,
+      "learning_rate": 0.00017219560939545246,
+      "loss": 1.5538,
+      "step": 729
+    },
+    {
+      "epoch": 0.7302053702603858,
+      "grad_norm": 0.5658044219017029,
+      "learning_rate": 0.00017212303754265843,
+      "loss": 1.248,
+      "step": 730
+    },
+    {
+      "epoch": 0.7312056515895096,
+      "grad_norm": 0.5355331301689148,
+      "learning_rate": 0.0001720503864396896,
+      "loss": 1.259,
+      "step": 731
+    },
+    {
+      "epoch": 0.7322059329186333,
+      "grad_norm": 0.5683363676071167,
+      "learning_rate": 0.00017197765616637636,
+      "loss": 1.4242,
+      "step": 732
+    },
+    {
+      "epoch": 0.7332062142477572,
+      "grad_norm": 0.488972932100296,
+      "learning_rate": 0.0001719048468026361,
+      "loss": 1.3442,
+      "step": 733
+    },
+    {
+      "epoch": 0.734206495576881,
+      "grad_norm": 0.45563748478889465,
+      "learning_rate": 0.00017183195842847322,
+      "loss": 1.3236,
+      "step": 734
+    },
+    {
+      "epoch": 0.7352067769060048,
+      "grad_norm": 0.5114185214042664,
+      "learning_rate": 0.0001717589911239788,
+      "loss": 1.3071,
+      "step": 735
+    },
+    {
+      "epoch": 0.7362070582351287,
+      "grad_norm": 0.558686375617981,
+      "learning_rate": 0.00017168594496933074,
+      "loss": 1.2889,
+      "step": 736
+    },
+    {
+      "epoch": 0.7372073395642524,
+      "grad_norm": 0.49099281430244446,
+      "learning_rate": 0.00017161282004479351,
+      "loss": 1.1701,
+      "step": 737
+    },
+    {
+      "epoch": 0.7382076208933762,
+      "grad_norm": 0.549524188041687,
+      "learning_rate": 0.0001715396164307182,
+      "loss": 1.2853,
+      "step": 738
+    },
+    {
+      "epoch": 0.7392079022225001,
+      "grad_norm": 0.5683863162994385,
+      "learning_rate": 0.0001714663342075424,
+      "loss": 1.4201,
+      "step": 739
+    },
+    {
+      "epoch": 0.7402081835516239,
+      "grad_norm": 0.5957104563713074,
+      "learning_rate": 0.00017139297345578994,
+      "loss": 1.3406,
+      "step": 740
+    },
+    {
+      "epoch": 0.7412084648807478,
+      "grad_norm": 0.4645147919654846,
+      "learning_rate": 0.00017131953425607104,
+      "loss": 1.2344,
+      "step": 741
+    },
+    {
+      "epoch": 0.7422087462098715,
+      "grad_norm": 0.4981783330440521,
+      "learning_rate": 0.00017124601668908212,
+      "loss": 1.422,
+      "step": 742
+    },
+    {
+      "epoch": 0.7432090275389953,
+      "grad_norm": 0.5426530838012695,
+      "learning_rate": 0.00017117242083560568,
+      "loss": 1.4275,
+      "step": 743
+    },
+    {
+      "epoch": 0.7442093088681192,
+      "grad_norm": 0.5585354566574097,
+      "learning_rate": 0.00017109874677651024,
+      "loss": 1.5049,
+      "step": 744
+    },
+    {
+      "epoch": 0.745209590197243,
+      "grad_norm": 0.5639151930809021,
+      "learning_rate": 0.0001710249945927503,
+      "loss": 1.4019,
+      "step": 745
+    },
+    {
+      "epoch": 0.7462098715263668,
+      "grad_norm": 0.8334717750549316,
+      "learning_rate": 0.00017095116436536612,
+      "loss": 1.5607,
+      "step": 746
+    },
+    {
+      "epoch": 0.7472101528554906,
+      "grad_norm": 0.513970673084259,
+      "learning_rate": 0.00017087725617548385,
+      "loss": 1.1967,
+      "step": 747
+    },
+    {
+      "epoch": 0.7482104341846144,
+      "grad_norm": 0.6200702786445618,
+      "learning_rate": 0.00017080327010431513,
+      "loss": 1.2298,
+      "step": 748
+    },
+    {
+      "epoch": 0.7492107155137382,
+      "grad_norm": 0.54522305727005,
+      "learning_rate": 0.00017072920623315734,
+      "loss": 1.3214,
+      "step": 749
+    },
+    {
+      "epoch": 0.7502109968428621,
+      "grad_norm": 0.6682360172271729,
+      "learning_rate": 0.00017065506464339326,
+      "loss": 1.4631,
+      "step": 750
+    },
+    {
+      "epoch": 0.7512112781719859,
+      "grad_norm": 0.5061535239219666,
+      "learning_rate": 0.00017058084541649106,
+      "loss": 1.5062,
+      "step": 751
+    },
+    {
+      "epoch": 0.7522115595011097,
+      "grad_norm": 0.5790627598762512,
+      "learning_rate": 0.00017050654863400429,
+      "loss": 1.1371,
+      "step": 752
+    },
+    {
+      "epoch": 0.7532118408302335,
+      "grad_norm": 0.6058077216148376,
+      "learning_rate": 0.00017043217437757164,
+      "loss": 1.2185,
+      "step": 753
+    },
+    {
+      "epoch": 0.7542121221593573,
+      "grad_norm": 0.5494515895843506,
+      "learning_rate": 0.00017035772272891702,
+      "loss": 1.2468,
+      "step": 754
+    },
+    {
+      "epoch": 0.7552124034884812,
+      "grad_norm": 0.5687912106513977,
+      "learning_rate": 0.00017028319376984928,
+      "loss": 1.5621,
+      "step": 755
+    },
+    {
+      "epoch": 0.756212684817605,
+      "grad_norm": 0.5341185927391052,
+      "learning_rate": 0.00017020858758226229,
+      "loss": 1.3598,
+      "step": 756
+    },
+    {
+      "epoch": 0.7572129661467287,
+      "grad_norm": 0.5373026132583618,
+      "learning_rate": 0.0001701339042481347,
+      "loss": 1.4185,
+      "step": 757
+    },
+    {
+      "epoch": 0.7582132474758526,
+      "grad_norm": 0.46508973836898804,
+      "learning_rate": 0.00017005914384953007,
+      "loss": 1.2962,
+      "step": 758
+    },
+    {
+      "epoch": 0.7592135288049764,
+      "grad_norm": 0.4580937325954437,
+      "learning_rate": 0.00016998430646859654,
+      "loss": 1.0707,
+      "step": 759
+    },
+    {
+      "epoch": 0.7602138101341002,
+      "grad_norm": 0.5277093052864075,
+      "learning_rate": 0.00016990939218756683,
+      "loss": 1.2529,
+      "step": 760
+    },
+    {
+      "epoch": 0.761214091463224,
+      "grad_norm": 0.5356671214103699,
+      "learning_rate": 0.0001698344010887582,
+      "loss": 1.4032,
+      "step": 761
+    },
+    {
+      "epoch": 0.7622143727923478,
+      "grad_norm": 0.6881769299507141,
+      "learning_rate": 0.0001697593332545723,
+      "loss": 1.4885,
+      "step": 762
+    },
+    {
+      "epoch": 0.7632146541214717,
+      "grad_norm": 0.5370383262634277,
+      "learning_rate": 0.0001696841887674951,
+      "loss": 1.3271,
+      "step": 763
+    },
+    {
+      "epoch": 0.7642149354505955,
+      "grad_norm": 0.4792316257953644,
+      "learning_rate": 0.00016960896771009684,
+      "loss": 1.2274,
+      "step": 764
+    },
+    {
+      "epoch": 0.7652152167797193,
+      "grad_norm": 0.5276592373847961,
+      "learning_rate": 0.00016953367016503182,
+      "loss": 1.2399,
+      "step": 765
+    },
+    {
+      "epoch": 0.7662154981088432,
+      "grad_norm": 0.4789050221443176,
+      "learning_rate": 0.00016945829621503838,
+      "loss": 1.4002,
+      "step": 766
+    },
+    {
+      "epoch": 0.7672157794379669,
+      "grad_norm": 0.492712140083313,
+      "learning_rate": 0.00016938284594293897,
+      "loss": 1.3897,
+      "step": 767
+    },
+    {
+      "epoch": 0.7682160607670907,
+      "grad_norm": 0.5009675621986389,
+      "learning_rate": 0.00016930731943163972,
+      "loss": 1.3797,
+      "step": 768
+    },
+    {
+      "epoch": 0.7692163420962146,
+      "grad_norm": 0.4863432049751282,
+      "learning_rate": 0.00016923171676413063,
+      "loss": 1.4251,
+      "step": 769
+    },
+    {
+      "epoch": 0.7702166234253384,
+      "grad_norm": 0.5190616846084595,
+      "learning_rate": 0.00016915603802348535,
+      "loss": 1.4265,
+      "step": 770
+    },
+    {
+      "epoch": 0.7712169047544621,
+      "grad_norm": 0.5603469610214233,
+      "learning_rate": 0.00016908028329286112,
+      "loss": 1.2852,
+      "step": 771
+    },
+    {
+      "epoch": 0.772217186083586,
+      "grad_norm": 0.5128753185272217,
+      "learning_rate": 0.0001690044526554987,
+      "loss": 1.3324,
+      "step": 772
+    },
+    {
+      "epoch": 0.7732174674127098,
+      "grad_norm": 0.4992072284221649,
+      "learning_rate": 0.00016892854619472223,
+      "loss": 1.2498,
+      "step": 773
+    },
+    {
+      "epoch": 0.7742177487418337,
+      "grad_norm": 0.6128407716751099,
+      "learning_rate": 0.00016885256399393924,
+      "loss": 1.2967,
+      "step": 774
+    },
+    {
+      "epoch": 0.7752180300709575,
+      "grad_norm": 0.5186858177185059,
+      "learning_rate": 0.00016877650613664034,
+      "loss": 1.2654,
+      "step": 775
+    },
+    {
+      "epoch": 0.7762183114000812,
+      "grad_norm": 0.5207421183586121,
+      "learning_rate": 0.00016870037270639942,
+      "loss": 1.2994,
+      "step": 776
+    },
+    {
+      "epoch": 0.7772185927292051,
+      "grad_norm": 0.509912371635437,
+      "learning_rate": 0.0001686241637868734,
+      "loss": 1.3971,
+      "step": 777
+    },
+    {
+      "epoch": 0.7782188740583289,
+      "grad_norm": 0.47703370451927185,
+      "learning_rate": 0.00016854787946180198,
+      "loss": 1.282,
+      "step": 778
+    },
+    {
+      "epoch": 0.7792191553874527,
+      "grad_norm": 0.5404442548751831,
+      "learning_rate": 0.00016847151981500789,
+      "loss": 1.1986,
+      "step": 779
+    },
+    {
+      "epoch": 0.7802194367165766,
+      "grad_norm": 0.541050136089325,
+      "learning_rate": 0.00016839508493039657,
+      "loss": 1.4478,
+      "step": 780
+    },
+    {
+      "epoch": 0.7812197180457003,
+      "grad_norm": 0.46520569920539856,
+      "learning_rate": 0.00016831857489195618,
+      "loss": 1.2385,
+      "step": 781
+    },
+    {
+      "epoch": 0.7822199993748241,
+      "grad_norm": 0.5150445699691772,
+      "learning_rate": 0.00016824198978375736,
+      "loss": 1.3695,
+      "step": 782
+    },
+    {
+      "epoch": 0.783220280703948,
+      "grad_norm": 0.5754334926605225,
+      "learning_rate": 0.00016816532968995328,
+      "loss": 1.3026,
+      "step": 783
+    },
+    {
+      "epoch": 0.7842205620330718,
+      "grad_norm": 0.5335776209831238,
+      "learning_rate": 0.0001680885946947796,
+      "loss": 1.3391,
+      "step": 784
+    },
+    {
+      "epoch": 0.7852208433621957,
+      "grad_norm": 0.6596659421920776,
+      "learning_rate": 0.00016801178488255413,
+      "loss": 1.3224,
+      "step": 785
+    },
+    {
+      "epoch": 0.7862211246913194,
+      "grad_norm": 0.5251991748809814,
+      "learning_rate": 0.00016793490033767698,
+      "loss": 1.1744,
+      "step": 786
+    },
+    {
+      "epoch": 0.7872214060204432,
+      "grad_norm": 0.5112204551696777,
+      "learning_rate": 0.00016785794114463037,
+      "loss": 1.2455,
+      "step": 787
+    },
+    {
+      "epoch": 0.7882216873495671,
+      "grad_norm": 0.532893717288971,
+      "learning_rate": 0.00016778090738797853,
+      "loss": 1.2437,
+      "step": 788
+    },
+    {
+      "epoch": 0.7892219686786909,
+      "grad_norm": 0.5534240007400513,
+      "learning_rate": 0.00016770379915236766,
+      "loss": 1.396,
+      "step": 789
+    },
+    {
+      "epoch": 0.7902222500078147,
+      "grad_norm": 0.5164292454719543,
+      "learning_rate": 0.00016762661652252567,
+      "loss": 1.3138,
+      "step": 790
+    },
+    {
+      "epoch": 0.7912225313369385,
+      "grad_norm": 0.5660764575004578,
+      "learning_rate": 0.00016754935958326244,
+      "loss": 1.3014,
+      "step": 791
+    },
+    {
+      "epoch": 0.7922228126660623,
+      "grad_norm": 0.5137651562690735,
+      "learning_rate": 0.00016747202841946928,
+      "loss": 1.2834,
+      "step": 792
+    },
+    {
+      "epoch": 0.7932230939951862,
+      "grad_norm": 0.5546874403953552,
+      "learning_rate": 0.00016739462311611919,
+      "loss": 1.2841,
+      "step": 793
+    },
+    {
+      "epoch": 0.79422337532431,
+      "grad_norm": 0.5112007260322571,
+      "learning_rate": 0.00016731714375826657,
+      "loss": 1.1873,
+      "step": 794
+    },
+    {
+      "epoch": 0.7952236566534338,
+      "grad_norm": 0.5462679862976074,
+      "learning_rate": 0.00016723959043104728,
+      "loss": 1.2602,
+      "step": 795
+    },
+    {
+      "epoch": 0.7962239379825576,
+      "grad_norm": 0.5083702802658081,
+      "learning_rate": 0.00016716196321967832,
+      "loss": 1.334,
+      "step": 796
+    },
+    {
+      "epoch": 0.7972242193116814,
+      "grad_norm": 0.5491913557052612,
+      "learning_rate": 0.00016708426220945802,
+      "loss": 1.335,
+      "step": 797
+    },
+    {
+      "epoch": 0.7982245006408052,
+      "grad_norm": 0.5257419943809509,
+      "learning_rate": 0.00016700648748576574,
+      "loss": 1.374,
+      "step": 798
+    },
+    {
+      "epoch": 0.7992247819699291,
+      "grad_norm": 0.5252013206481934,
+      "learning_rate": 0.0001669286391340618,
+      "loss": 1.281,
+      "step": 799
+    },
+    {
+      "epoch": 0.8002250632990529,
+      "grad_norm": 0.5784058570861816,
+      "learning_rate": 0.00016685071723988748,
+      "loss": 1.385,
+      "step": 800
+    },
+    {
+      "epoch": 0.8012253446281766,
+      "grad_norm": 0.5508819818496704,
+      "learning_rate": 0.00016677272188886483,
+      "loss": 1.5138,
+      "step": 801
+    },
+    {
+      "epoch": 0.8022256259573005,
+      "grad_norm": 0.5943104028701782,
+      "learning_rate": 0.00016669465316669667,
+      "loss": 1.2341,
+      "step": 802
+    },
+    {
+      "epoch": 0.8032259072864243,
+      "grad_norm": 0.5109750032424927,
+      "learning_rate": 0.00016661651115916642,
+      "loss": 1.361,
+      "step": 803
+    },
+    {
+      "epoch": 0.8042261886155482,
+      "grad_norm": 0.5322972536087036,
+      "learning_rate": 0.00016653829595213794,
+      "loss": 1.3383,
+      "step": 804
+    },
+    {
+      "epoch": 0.805226469944672,
+      "grad_norm": 0.4870489537715912,
+      "learning_rate": 0.00016646000763155568,
+      "loss": 1.2932,
+      "step": 805
+    },
+    {
+      "epoch": 0.8062267512737957,
+      "grad_norm": 0.6070749163627625,
+      "learning_rate": 0.00016638164628344425,
+      "loss": 1.3517,
+      "step": 806
+    },
+    {
+      "epoch": 0.8072270326029196,
+      "grad_norm": 0.5695485472679138,
+      "learning_rate": 0.00016630321199390867,
+      "loss": 1.295,
+      "step": 807
+    },
+    {
+      "epoch": 0.8082273139320434,
+      "grad_norm": 0.49092933535575867,
+      "learning_rate": 0.00016622470484913406,
+      "loss": 1.1708,
+      "step": 808
+    },
+    {
+      "epoch": 0.8092275952611672,
+      "grad_norm": 0.5488709807395935,
+      "learning_rate": 0.00016614612493538551,
+      "loss": 1.3101,
+      "step": 809
+    },
+    {
+      "epoch": 0.810227876590291,
+      "grad_norm": 0.6875150799751282,
+      "learning_rate": 0.00016606747233900815,
+      "loss": 1.3,
+      "step": 810
+    },
+    {
+      "epoch": 0.8112281579194148,
+      "grad_norm": 0.5599775910377502,
+      "learning_rate": 0.00016598874714642697,
+      "loss": 1.5711,
+      "step": 811
+    },
+    {
+      "epoch": 0.8122284392485386,
+      "grad_norm": 0.7102994322776794,
+      "learning_rate": 0.00016590994944414678,
+      "loss": 1.4553,
+      "step": 812
+    },
+    {
+      "epoch": 0.8132287205776625,
+      "grad_norm": 0.5191233158111572,
+      "learning_rate": 0.00016583107931875192,
+      "loss": 1.4292,
+      "step": 813
+    },
+    {
+      "epoch": 0.8142290019067863,
+      "grad_norm": 0.4739600718021393,
+      "learning_rate": 0.0001657521368569064,
+      "loss": 1.3776,
+      "step": 814
+    },
+    {
+      "epoch": 0.8152292832359102,
+      "grad_norm": 0.5282078981399536,
+      "learning_rate": 0.0001656731221453537,
+      "loss": 1.4359,
+      "step": 815
+    },
+    {
+      "epoch": 0.8162295645650339,
+      "grad_norm": 0.690367579460144,
+      "learning_rate": 0.00016559403527091675,
+      "loss": 1.1747,
+      "step": 816
+    },
+    {
+      "epoch": 0.8172298458941577,
+      "grad_norm": 0.5715120434761047,
+      "learning_rate": 0.0001655148763204977,
+      "loss": 1.3289,
+      "step": 817
+    },
+    {
+      "epoch": 0.8182301272232816,
+      "grad_norm": 0.7024423480033875,
+      "learning_rate": 0.00016543564538107797,
+      "loss": 1.4758,
+      "step": 818
+    },
+    {
+      "epoch": 0.8192304085524054,
+      "grad_norm": 0.5568886399269104,
+      "learning_rate": 0.00016535634253971794,
+      "loss": 1.5172,
+      "step": 819
+    },
+    {
+      "epoch": 0.8202306898815291,
+      "grad_norm": 0.5847441554069519,
+      "learning_rate": 0.00016527696788355714,
+      "loss": 1.1993,
+      "step": 820
+    },
+    {
+      "epoch": 0.821230971210653,
+      "grad_norm": 0.5402149558067322,
+      "learning_rate": 0.00016519752149981397,
+      "loss": 1.2921,
+      "step": 821
+    },
+    {
+      "epoch": 0.8222312525397768,
+      "grad_norm": 0.6050311326980591,
+      "learning_rate": 0.0001651180034757856,
+      "loss": 1.59,
+      "step": 822
+    },
+    {
+      "epoch": 0.8232315338689006,
+      "grad_norm": 0.6215486526489258,
+      "learning_rate": 0.00016503841389884798,
+      "loss": 1.4562,
+      "step": 823
+    },
+    {
+      "epoch": 0.8242318151980245,
+      "grad_norm": 0.6507789492607117,
+      "learning_rate": 0.00016495875285645566,
+      "loss": 1.349,
+      "step": 824
+    },
+    {
+      "epoch": 0.8252320965271482,
+      "grad_norm": 0.5273147225379944,
+      "learning_rate": 0.00016487902043614173,
+      "loss": 1.4016,
+      "step": 825
+    },
+    {
+      "epoch": 0.8262323778562721,
+      "grad_norm": 0.579987645149231,
+      "learning_rate": 0.0001647992167255177,
+      "loss": 1.4077,
+      "step": 826
+    },
+    {
+      "epoch": 0.8272326591853959,
+      "grad_norm": 0.5068405270576477,
+      "learning_rate": 0.0001647193418122734,
+      "loss": 1.5075,
+      "step": 827
+    },
+    {
+      "epoch": 0.8282329405145197,
+      "grad_norm": 0.519982099533081,
+      "learning_rate": 0.00016463939578417692,
+      "loss": 1.2721,
+      "step": 828
+    },
+    {
+      "epoch": 0.8292332218436436,
+      "grad_norm": 0.5181561708450317,
+      "learning_rate": 0.0001645593787290745,
+      "loss": 1.2299,
+      "step": 829
+    },
+    {
+      "epoch": 0.8302335031727673,
+      "grad_norm": 0.47413337230682373,
+      "learning_rate": 0.0001644792907348904,
+      "loss": 1.2462,
+      "step": 830
+    },
+    {
+      "epoch": 0.8312337845018911,
+      "grad_norm": 0.5426570773124695,
+      "learning_rate": 0.00016439913188962685,
+      "loss": 1.4496,
+      "step": 831
+    },
+    {
+      "epoch": 0.832234065831015,
+      "grad_norm": 0.5744379758834839,
+      "learning_rate": 0.0001643189022813639,
+      "loss": 1.3284,
+      "step": 832
+    },
+    {
+      "epoch": 0.8332343471601388,
+      "grad_norm": 0.49693235754966736,
+      "learning_rate": 0.0001642386019982594,
+      "loss": 1.4082,
+      "step": 833
+    },
+    {
+      "epoch": 0.8342346284892626,
+      "grad_norm": 0.5346773862838745,
+      "learning_rate": 0.00016415823112854883,
+      "loss": 1.4238,
+      "step": 834
+    },
+    {
+      "epoch": 0.8352349098183864,
+      "grad_norm": 0.6201802492141724,
+      "learning_rate": 0.00016407778976054526,
+      "loss": 1.3288,
+      "step": 835
+    },
+    {
+      "epoch": 0.8362351911475102,
+      "grad_norm": 0.5161807537078857,
+      "learning_rate": 0.0001639972779826392,
+      "loss": 1.3798,
+      "step": 836
+    },
+    {
+      "epoch": 0.8372354724766341,
+      "grad_norm": 0.4670160412788391,
+      "learning_rate": 0.0001639166958832985,
+      "loss": 1.3765,
+      "step": 837
+    },
+    {
+      "epoch": 0.8382357538057579,
+      "grad_norm": 0.6492543816566467,
+      "learning_rate": 0.00016383604355106837,
+      "loss": 1.5277,
+      "step": 838
+    },
+    {
+      "epoch": 0.8392360351348817,
+      "grad_norm": 0.5766328573226929,
+      "learning_rate": 0.00016375532107457108,
+      "loss": 1.2481,
+      "step": 839
+    },
+    {
+      "epoch": 0.8402363164640055,
+      "grad_norm": 0.6431072950363159,
+      "learning_rate": 0.00016367452854250603,
+      "loss": 1.2755,
+      "step": 840
+    },
+    {
+      "epoch": 0.8412365977931293,
+      "grad_norm": 0.5121828317642212,
+      "learning_rate": 0.00016359366604364972,
+      "loss": 1.2927,
+      "step": 841
+    },
+    {
+      "epoch": 0.8422368791222531,
+      "grad_norm": 0.5222392678260803,
+      "learning_rate": 0.00016351273366685526,
+      "loss": 1.2626,
+      "step": 842
+    },
+    {
+      "epoch": 0.843237160451377,
+      "grad_norm": 0.5536903142929077,
+      "learning_rate": 0.00016343173150105278,
+      "loss": 1.1892,
+      "step": 843
+    },
+    {
+      "epoch": 0.8442374417805008,
+      "grad_norm": 0.5569381713867188,
+      "learning_rate": 0.00016335065963524897,
+      "loss": 1.4263,
+      "step": 844
+    },
+    {
+      "epoch": 0.8452377231096245,
+      "grad_norm": 0.6490715742111206,
+      "learning_rate": 0.0001632695181585272,
+      "loss": 1.452,
+      "step": 845
+    },
+    {
+      "epoch": 0.8462380044387484,
+      "grad_norm": 0.5965350270271301,
+      "learning_rate": 0.00016318830716004722,
+      "loss": 1.4189,
+      "step": 846
+    },
+    {
+      "epoch": 0.8472382857678722,
+      "grad_norm": 0.45904603600502014,
+      "learning_rate": 0.00016310702672904528,
+      "loss": 1.4024,
+      "step": 847
+    },
+    {
+      "epoch": 0.8482385670969961,
+      "grad_norm": 0.4320334494113922,
+      "learning_rate": 0.00016302567695483382,
+      "loss": 1.2105,
+      "step": 848
+    },
+    {
+      "epoch": 0.8492388484261199,
+      "grad_norm": 0.527032196521759,
+      "learning_rate": 0.0001629442579268016,
+      "loss": 1.1996,
+      "step": 849
+    },
+    {
+      "epoch": 0.8502391297552436,
+      "grad_norm": 0.6317036747932434,
+      "learning_rate": 0.00016286276973441333,
+      "loss": 1.4811,
+      "step": 850
+    },
+    {
+      "epoch": 0.8512394110843675,
+      "grad_norm": 0.5726277828216553,
+      "learning_rate": 0.00016278121246720987,
+      "loss": 1.3249,
+      "step": 851
+    },
+    {
+      "epoch": 0.8522396924134913,
+      "grad_norm": 0.4624577462673187,
+      "learning_rate": 0.00016269958621480788,
+      "loss": 1.3291,
+      "step": 852
+    },
+    {
+      "epoch": 0.8532399737426151,
+      "grad_norm": 0.5774461627006531,
+      "learning_rate": 0.0001626178910668998,
+      "loss": 1.2891,
+      "step": 853
+    },
+    {
+      "epoch": 0.854240255071739,
+      "grad_norm": 0.503584086894989,
+      "learning_rate": 0.00016253612711325386,
+      "loss": 1.3048,
+      "step": 854
+    },
+    {
+      "epoch": 0.8552405364008627,
+      "grad_norm": 0.4560583233833313,
+      "learning_rate": 0.0001624542944437139,
+      "loss": 1.2658,
+      "step": 855
+    },
+    {
+      "epoch": 0.8562408177299866,
+      "grad_norm": 0.49611610174179077,
+      "learning_rate": 0.00016237239314819917,
+      "loss": 1.1017,
+      "step": 856
+    },
+    {
+      "epoch": 0.8572410990591104,
+      "grad_norm": 0.5600405931472778,
+      "learning_rate": 0.0001622904233167044,
+      "loss": 1.3274,
+      "step": 857
+    },
+    {
+      "epoch": 0.8582413803882342,
+      "grad_norm": 0.5849353075027466,
+      "learning_rate": 0.0001622083850392996,
+      "loss": 1.274,
+      "step": 858
+    },
+    {
+      "epoch": 0.859241661717358,
+      "grad_norm": 0.5781377553939819,
+      "learning_rate": 0.00016212627840613003,
+      "loss": 1.4157,
+      "step": 859
+    },
+    {
+      "epoch": 0.8602419430464818,
+      "grad_norm": 0.4908173680305481,
+      "learning_rate": 0.000162044103507416,
+      "loss": 1.3,
+      "step": 860
+    },
+    {
+      "epoch": 0.8612422243756056,
+      "grad_norm": 0.5844553112983704,
+      "learning_rate": 0.00016196186043345288,
+      "loss": 1.2325,
+      "step": 861
+    },
+    {
+      "epoch": 0.8622425057047295,
+      "grad_norm": 0.5381117463111877,
+      "learning_rate": 0.00016187954927461093,
+      "loss": 1.41,
+      "step": 862
+    },
+    {
+      "epoch": 0.8632427870338533,
+      "grad_norm": 0.5468165278434753,
+      "learning_rate": 0.00016179717012133521,
+      "loss": 1.4272,
+      "step": 863
+    },
+    {
+      "epoch": 0.864243068362977,
+      "grad_norm": 0.5702970027923584,
+      "learning_rate": 0.00016171472306414554,
+      "loss": 1.3624,
+      "step": 864
+    },
+    {
+      "epoch": 0.8652433496921009,
+      "grad_norm": 0.5430637001991272,
+      "learning_rate": 0.00016163220819363628,
+      "loss": 1.2555,
+      "step": 865
+    },
+    {
+      "epoch": 0.8662436310212247,
+      "grad_norm": 0.5266844034194946,
+      "learning_rate": 0.00016154962560047643,
+      "loss": 1.3743,
+      "step": 866
+    },
+    {
+      "epoch": 0.8672439123503486,
+      "grad_norm": 0.5201333165168762,
+      "learning_rate": 0.00016146697537540924,
+      "loss": 1.3959,
+      "step": 867
+    },
+    {
+      "epoch": 0.8682441936794724,
+      "grad_norm": 0.44362199306488037,
+      "learning_rate": 0.0001613842576092524,
+      "loss": 1.2661,
+      "step": 868
+    },
+    {
+      "epoch": 0.8692444750085961,
+      "grad_norm": 0.5465226769447327,
+      "learning_rate": 0.00016130147239289778,
+      "loss": 1.3688,
+      "step": 869
+    },
+    {
+      "epoch": 0.87024475633772,
+      "grad_norm": 0.5353460907936096,
+      "learning_rate": 0.00016121861981731135,
+      "loss": 1.2327,
+      "step": 870
+    },
+    {
+      "epoch": 0.8712450376668438,
+      "grad_norm": 0.5463739633560181,
+      "learning_rate": 0.00016113569997353312,
+      "loss": 1.2994,
+      "step": 871
+    },
+    {
+      "epoch": 0.8722453189959676,
+      "grad_norm": 0.5219647288322449,
+      "learning_rate": 0.000161052712952677,
+      "loss": 1.3916,
+      "step": 872
+    },
+    {
+      "epoch": 0.8732456003250915,
+      "grad_norm": 0.4675636887550354,
+      "learning_rate": 0.0001609696588459307,
+      "loss": 1.2786,
+      "step": 873
+    },
+    {
+      "epoch": 0.8742458816542152,
+      "grad_norm": 0.48863986134529114,
+      "learning_rate": 0.00016088653774455568,
+      "loss": 1.1762,
+      "step": 874
+    },
+    {
+      "epoch": 0.875246162983339,
+      "grad_norm": 0.48759785294532776,
+      "learning_rate": 0.00016080334973988695,
+      "loss": 1.2107,
+      "step": 875
+    },
+    {
+      "epoch": 0.8762464443124629,
+      "grad_norm": 0.7353807687759399,
+      "learning_rate": 0.00016072009492333318,
+      "loss": 1.4855,
+      "step": 876
+    },
+    {
+      "epoch": 0.8772467256415867,
+      "grad_norm": 0.4878953993320465,
+      "learning_rate": 0.0001606367733863763,
+      "loss": 1.2343,
+      "step": 877
+    },
+    {
+      "epoch": 0.8782470069707106,
+      "grad_norm": 0.4764840304851532,
+      "learning_rate": 0.00016055338522057158,
+      "loss": 1.3159,
+      "step": 878
+    },
+    {
+      "epoch": 0.8792472882998343,
+      "grad_norm": 0.5289160013198853,
+      "learning_rate": 0.00016046993051754756,
+      "loss": 1.3298,
+      "step": 879
+    },
+    {
+      "epoch": 0.8802475696289581,
+      "grad_norm": 0.5421459078788757,
+      "learning_rate": 0.00016038640936900586,
+      "loss": 1.4081,
+      "step": 880
+    },
+    {
+      "epoch": 0.881247850958082,
+      "grad_norm": 0.5096681118011475,
+      "learning_rate": 0.00016030282186672116,
+      "loss": 1.2406,
+      "step": 881
+    },
+    {
+      "epoch": 0.8822481322872058,
+      "grad_norm": 0.5783627033233643,
+      "learning_rate": 0.00016021916810254097,
+      "loss": 1.3505,
+      "step": 882
+    },
+    {
+      "epoch": 0.8832484136163296,
+      "grad_norm": 0.5718142986297607,
+      "learning_rate": 0.00016013544816838565,
+      "loss": 1.4106,
+      "step": 883
+    },
+    {
+      "epoch": 0.8842486949454534,
+      "grad_norm": 0.551607072353363,
+      "learning_rate": 0.00016005166215624827,
+      "loss": 1.3474,
+      "step": 884
+    },
+    {
+      "epoch": 0.8852489762745772,
+      "grad_norm": 0.5464247465133667,
+      "learning_rate": 0.0001599678101581945,
+      "loss": 1.4443,
+      "step": 885
+    },
+    {
+      "epoch": 0.886249257603701,
+      "grad_norm": 0.5075456500053406,
+      "learning_rate": 0.00015988389226636253,
+      "loss": 1.4919,
+      "step": 886
+    },
+    {
+      "epoch": 0.8872495389328249,
+      "grad_norm": 0.48557186126708984,
+      "learning_rate": 0.00015979990857296295,
+      "loss": 1.4225,
+      "step": 887
+    },
+    {
+      "epoch": 0.8882498202619487,
+      "grad_norm": 0.5385611653327942,
+      "learning_rate": 0.00015971585917027862,
+      "loss": 1.2937,
+      "step": 888
+    },
+    {
+      "epoch": 0.8892501015910725,
+      "grad_norm": 0.6477749943733215,
+      "learning_rate": 0.00015963174415066468,
+      "loss": 1.5628,
+      "step": 889
+    },
+    {
+      "epoch": 0.8902503829201963,
+      "grad_norm": 0.6205973029136658,
+      "learning_rate": 0.0001595475636065483,
+      "loss": 1.4902,
+      "step": 890
+    },
+    {
+      "epoch": 0.8912506642493201,
+      "grad_norm": 0.45717301964759827,
+      "learning_rate": 0.00015946331763042867,
+      "loss": 1.1998,
+      "step": 891
+    },
+    {
+      "epoch": 0.892250945578444,
+      "grad_norm": 0.5279855132102966,
+      "learning_rate": 0.00015937900631487686,
+      "loss": 1.0668,
+      "step": 892
+    },
+    {
+      "epoch": 0.8932512269075678,
+      "grad_norm": 0.5207269787788391,
+      "learning_rate": 0.00015929462975253585,
+      "loss": 1.2774,
+      "step": 893
+    },
+    {
+      "epoch": 0.8942515082366915,
+      "grad_norm": 0.5200834274291992,
+      "learning_rate": 0.00015921018803612014,
+      "loss": 1.4316,
+      "step": 894
+    },
+    {
+      "epoch": 0.8952517895658154,
+      "grad_norm": 0.48317649960517883,
+      "learning_rate": 0.0001591256812584159,
+      "loss": 1.4101,
+      "step": 895
+    },
+    {
+      "epoch": 0.8962520708949392,
+      "grad_norm": 0.475483775138855,
+      "learning_rate": 0.00015904110951228082,
+      "loss": 1.2011,
+      "step": 896
+    },
+    {
+      "epoch": 0.897252352224063,
+      "grad_norm": 0.6542660593986511,
+      "learning_rate": 0.00015895647289064396,
+      "loss": 1.56,
+      "step": 897
+    },
+    {
+      "epoch": 0.8982526335531869,
+      "grad_norm": 0.5154829621315002,
+      "learning_rate": 0.00015887177148650564,
+      "loss": 1.3748,
+      "step": 898
+    },
+    {
+      "epoch": 0.8992529148823106,
+      "grad_norm": 0.5744799375534058,
+      "learning_rate": 0.0001587870053929374,
+      "loss": 1.4072,
+      "step": 899
+    },
+    {
+      "epoch": 0.9002531962114345,
+      "grad_norm": 0.4835909307003021,
+      "learning_rate": 0.00015870217470308188,
+      "loss": 1.3037,
+      "step": 900
+    },
+    {
+      "epoch": 0.9012534775405583,
+      "grad_norm": 0.5292366743087769,
+      "learning_rate": 0.0001586172795101526,
+      "loss": 1.2395,
+      "step": 901
+    },
+    {
+      "epoch": 0.9022537588696821,
+      "grad_norm": 0.5905430912971497,
+      "learning_rate": 0.00015853231990743406,
+      "loss": 1.29,
+      "step": 902
+    },
+    {
+      "epoch": 0.903254040198806,
+      "grad_norm": 0.4918007254600525,
+      "learning_rate": 0.0001584472959882815,
+      "loss": 1.2593,
+      "step": 903
+    },
+    {
+      "epoch": 0.9042543215279297,
+      "grad_norm": 0.4735652208328247,
+      "learning_rate": 0.00015836220784612085,
+      "loss": 1.1669,
+      "step": 904
+    },
+    {
+      "epoch": 0.9052546028570535,
+      "grad_norm": 0.6272550821304321,
+      "learning_rate": 0.00015827705557444852,
+      "loss": 1.3692,
+      "step": 905
+    },
+    {
+      "epoch": 0.9062548841861774,
+      "grad_norm": 0.5333564877510071,
+      "learning_rate": 0.00015819183926683153,
+      "loss": 1.3672,
+      "step": 906
+    },
+    {
+      "epoch": 0.9072551655153012,
+      "grad_norm": 0.44029948115348816,
+      "learning_rate": 0.00015810655901690715,
+      "loss": 1.2124,
+      "step": 907
+    },
+    {
+      "epoch": 0.9082554468444249,
+      "grad_norm": 0.5636379718780518,
+      "learning_rate": 0.00015802121491838297,
+      "loss": 1.3507,
+      "step": 908
+    },
+    {
+      "epoch": 0.9092557281735488,
+      "grad_norm": 0.4394778907299042,
+      "learning_rate": 0.0001579358070650367,
+      "loss": 1.3159,
+      "step": 909
+    },
+    {
+      "epoch": 0.9102560095026726,
+      "grad_norm": 0.5382723212242126,
+      "learning_rate": 0.00015785033555071616,
+      "loss": 1.3733,
+      "step": 910
+    },
+    {
+      "epoch": 0.9112562908317965,
+      "grad_norm": 0.5251659750938416,
+      "learning_rate": 0.00015776480046933905,
+      "loss": 1.2253,
+      "step": 911
+    },
+    {
+      "epoch": 0.9122565721609203,
+      "grad_norm": 0.4791383743286133,
+      "learning_rate": 0.000157679201914893,
+      "loss": 1.2341,
+      "step": 912
+    },
+    {
+      "epoch": 0.913256853490044,
+      "grad_norm": 0.5058613419532776,
+      "learning_rate": 0.00015759353998143528,
+      "loss": 1.2717,
+      "step": 913
+    },
+    {
+      "epoch": 0.9142571348191679,
+      "grad_norm": 0.46837320923805237,
+      "learning_rate": 0.00015750781476309288,
+      "loss": 1.2484,
+      "step": 914
+    },
+    {
+      "epoch": 0.9152574161482917,
+      "grad_norm": 0.524444580078125,
+      "learning_rate": 0.00015742202635406235,
+      "loss": 1.5512,
+      "step": 915
+    },
+    {
+      "epoch": 0.9162576974774155,
+      "grad_norm": 0.6169744729995728,
+      "learning_rate": 0.00015733617484860963,
+      "loss": 1.271,
+      "step": 916
+    },
+    {
+      "epoch": 0.9172579788065394,
+      "grad_norm": 0.48883670568466187,
+      "learning_rate": 0.00015725026034106996,
+      "loss": 1.4779,
+      "step": 917
+    },
+    {
+      "epoch": 0.9182582601356631,
+      "grad_norm": 0.5408645272254944,
+      "learning_rate": 0.00015716428292584787,
+      "loss": 1.3574,
+      "step": 918
+    },
+    {
+      "epoch": 0.919258541464787,
+      "grad_norm": 0.5622221231460571,
+      "learning_rate": 0.00015707824269741702,
+      "loss": 1.2146,
+      "step": 919
+    },
+    {
+      "epoch": 0.9202588227939108,
+      "grad_norm": 0.477328896522522,
+      "learning_rate": 0.00015699213975031996,
+      "loss": 1.162,
+      "step": 920
+    },
+    {
+      "epoch": 0.9212591041230346,
+      "grad_norm": 0.503027081489563,
+      "learning_rate": 0.0001569059741791684,
+      "loss": 1.1674,
+      "step": 921
+    },
+    {
+      "epoch": 0.9222593854521585,
+      "grad_norm": 0.5951637625694275,
+      "learning_rate": 0.0001568197460786426,
+      "loss": 1.3737,
+      "step": 922
+    },
+    {
+      "epoch": 0.9232596667812822,
+      "grad_norm": 0.5276626348495483,
+      "learning_rate": 0.0001567334555434917,
+      "loss": 1.2494,
+      "step": 923
+    },
+    {
+      "epoch": 0.924259948110406,
+      "grad_norm": 0.6354761123657227,
+      "learning_rate": 0.0001566471026685334,
+      "loss": 1.2052,
+      "step": 924
+    },
+    {
+      "epoch": 0.9252602294395299,
+      "grad_norm": 0.4227287471294403,
+      "learning_rate": 0.00015656068754865387,
+      "loss": 1.1446,
+      "step": 925
+    },
+    {
+      "epoch": 0.9262605107686537,
+      "grad_norm": 0.5290839076042175,
+      "learning_rate": 0.00015647421027880772,
+      "loss": 1.2057,
+      "step": 926
+    },
+    {
+      "epoch": 0.9272607920977775,
+      "grad_norm": 0.4961225986480713,
+      "learning_rate": 0.0001563876709540178,
+      "loss": 1.2788,
+      "step": 927
+    },
+    {
+      "epoch": 0.9282610734269013,
+      "grad_norm": 0.5095213651657104,
+      "learning_rate": 0.0001563010696693752,
+      "loss": 1.2751,
+      "step": 928
+    },
+    {
+      "epoch": 0.9292613547560251,
+      "grad_norm": 0.5027223825454712,
+      "learning_rate": 0.00015621440652003907,
+      "loss": 1.3653,
+      "step": 929
+    },
+    {
+      "epoch": 0.930261636085149,
+      "grad_norm": 0.49251896142959595,
+      "learning_rate": 0.00015612768160123652,
+      "loss": 1.1556,
+      "step": 930
+    },
+    {
+      "epoch": 0.9312619174142728,
+      "grad_norm": 0.5187139511108398,
+      "learning_rate": 0.00015604089500826257,
+      "loss": 1.3623,
+      "step": 931
+    },
+    {
+      "epoch": 0.9322621987433966,
+      "grad_norm": 0.5004428029060364,
+      "learning_rate": 0.00015595404683648,
+      "loss": 1.185,
+      "step": 932
+    },
+    {
+      "epoch": 0.9332624800725204,
+      "grad_norm": 0.5750531554222107,
+      "learning_rate": 0.00015586713718131922,
+      "loss": 1.2999,
+      "step": 933
+    },
+    {
+      "epoch": 0.9342627614016442,
+      "grad_norm": 0.482732355594635,
+      "learning_rate": 0.0001557801661382782,
+      "loss": 1.2635,
+      "step": 934
+    },
+    {
+      "epoch": 0.935263042730768,
+      "grad_norm": 0.47854143381118774,
+      "learning_rate": 0.00015569313380292248,
+      "loss": 1.2833,
+      "step": 935
+    },
+    {
+      "epoch": 0.9362633240598919,
+      "grad_norm": 0.49382665753364563,
+      "learning_rate": 0.00015560604027088477,
+      "loss": 1.2327,
+      "step": 936
+    },
+    {
+      "epoch": 0.9372636053890157,
+      "grad_norm": 0.5009885430335999,
+      "learning_rate": 0.00015551888563786515,
+      "loss": 1.2967,
+      "step": 937
+    },
+    {
+      "epoch": 0.9382638867181394,
+      "grad_norm": 0.5012707114219666,
+      "learning_rate": 0.00015543166999963076,
+      "loss": 1.3231,
+      "step": 938
+    },
+    {
+      "epoch": 0.9392641680472633,
+      "grad_norm": 0.6908506751060486,
+      "learning_rate": 0.0001553443934520159,
+      "loss": 1.4055,
+      "step": 939
+    },
+    {
+      "epoch": 0.9402644493763871,
+      "grad_norm": 0.7104817032814026,
+      "learning_rate": 0.00015525705609092157,
+      "loss": 1.3435,
+      "step": 940
+    },
+    {
+      "epoch": 0.941264730705511,
+      "grad_norm": 0.49263522028923035,
+      "learning_rate": 0.00015516965801231586,
+      "loss": 1.2259,
+      "step": 941
+    },
+    {
+      "epoch": 0.9422650120346348,
+      "grad_norm": 0.5337693691253662,
+      "learning_rate": 0.0001550821993122334,
+      "loss": 1.2863,
+      "step": 942
+    },
+    {
+      "epoch": 0.9432652933637585,
+      "grad_norm": 0.5506749153137207,
+      "learning_rate": 0.0001549946800867755,
+      "loss": 1.4061,
+      "step": 943
+    },
+    {
+      "epoch": 0.9442655746928824,
+      "grad_norm": 0.5121364593505859,
+      "learning_rate": 0.00015490710043210997,
+      "loss": 1.3567,
+      "step": 944
+    },
+    {
+      "epoch": 0.9452658560220062,
+      "grad_norm": 0.5326678156852722,
+      "learning_rate": 0.00015481946044447099,
+      "loss": 1.2719,
+      "step": 945
+    },
+    {
+      "epoch": 0.94626613735113,
+      "grad_norm": 0.6023722290992737,
+      "learning_rate": 0.00015473176022015906,
+      "loss": 1.1512,
+      "step": 946
+    },
+    {
+      "epoch": 0.9472664186802539,
+      "grad_norm": 0.4953387975692749,
+      "learning_rate": 0.0001546439998555409,
+      "loss": 1.556,
+      "step": 947
+    },
+    {
+      "epoch": 0.9482667000093776,
+      "grad_norm": 0.5187799334526062,
+      "learning_rate": 0.0001545561794470492,
+      "loss": 1.279,
+      "step": 948
+    },
+    {
+      "epoch": 0.9492669813385014,
+      "grad_norm": 0.5788894295692444,
+      "learning_rate": 0.00015446829909118275,
+      "loss": 1.3246,
+      "step": 949
+    },
+    {
+      "epoch": 0.9502672626676253,
+      "grad_norm": 0.5551681518554688,
+      "learning_rate": 0.00015438035888450623,
+      "loss": 1.2231,
+      "step": 950
+    },
+    {
+      "epoch": 0.9512675439967491,
+      "grad_norm": 0.4898390471935272,
+      "learning_rate": 0.00015429235892364994,
+      "loss": 1.2036,
+      "step": 951
+    },
+    {
+      "epoch": 0.952267825325873,
+      "grad_norm": 0.5427507162094116,
+      "learning_rate": 0.00015420429930530996,
+      "loss": 1.3614,
+      "step": 952
+    },
+    {
+      "epoch": 0.9532681066549967,
+      "grad_norm": 0.557054340839386,
+      "learning_rate": 0.00015411618012624786,
+      "loss": 1.4249,
+      "step": 953
+    },
+    {
+      "epoch": 0.9542683879841205,
+      "grad_norm": 0.5793543457984924,
+      "learning_rate": 0.00015402800148329071,
+      "loss": 1.4341,
+      "step": 954
+    },
+    {
+      "epoch": 0.9552686693132444,
+      "grad_norm": 0.5993456244468689,
+      "learning_rate": 0.00015393976347333088,
+      "loss": 1.0259,
+      "step": 955
+    },
+    {
+      "epoch": 0.9562689506423682,
+      "grad_norm": 0.554904580116272,
+      "learning_rate": 0.00015385146619332596,
+      "loss": 1.3558,
+      "step": 956
+    },
+    {
+      "epoch": 0.9572692319714919,
+      "grad_norm": 0.5488478541374207,
+      "learning_rate": 0.00015376310974029873,
+      "loss": 1.358,
+      "step": 957
+    },
+    {
+      "epoch": 0.9582695133006158,
+      "grad_norm": 0.5108879208564758,
+      "learning_rate": 0.00015367469421133695,
+      "loss": 1.3865,
+      "step": 958
+    },
+    {
+      "epoch": 0.9592697946297396,
+      "grad_norm": 0.4606814682483673,
+      "learning_rate": 0.00015358621970359325,
+      "loss": 1.2055,
+      "step": 959
+    },
+    {
+      "epoch": 0.9602700759588634,
+      "grad_norm": 0.4974004328250885,
+      "learning_rate": 0.00015349768631428519,
+      "loss": 1.2541,
+      "step": 960
+    },
+    {
+      "epoch": 0.9612703572879873,
+      "grad_norm": 0.5107241272926331,
+      "learning_rate": 0.00015340909414069488,
+      "loss": 1.1624,
+      "step": 961
+    },
+    {
+      "epoch": 0.962270638617111,
+      "grad_norm": 0.5587212443351746,
+      "learning_rate": 0.00015332044328016914,
+      "loss": 1.349,
+      "step": 962
+    },
+    {
+      "epoch": 0.9632709199462349,
+      "grad_norm": 0.5209497809410095,
+      "learning_rate": 0.0001532317338301192,
+      "loss": 1.3695,
+      "step": 963
+    },
+    {
+      "epoch": 0.9642712012753587,
+      "grad_norm": 0.4985620677471161,
+      "learning_rate": 0.00015314296588802076,
+      "loss": 1.4597,
+      "step": 964
+    },
+    {
+      "epoch": 0.9652714826044825,
+      "grad_norm": 0.5065100789070129,
+      "learning_rate": 0.00015305413955141365,
+      "loss": 1.4225,
+      "step": 965
+    },
+    {
+      "epoch": 0.9662717639336064,
+      "grad_norm": 0.5079792737960815,
+      "learning_rate": 0.00015296525491790205,
+      "loss": 1.057,
+      "step": 966
+    },
+    {
+      "epoch": 0.9672720452627301,
+      "grad_norm": 0.4673600196838379,
+      "learning_rate": 0.00015287631208515406,
+      "loss": 1.2531,
+      "step": 967
+    },
+    {
+      "epoch": 0.9682723265918539,
+      "grad_norm": 0.5309945344924927,
+      "learning_rate": 0.00015278731115090171,
+      "loss": 1.374,
+      "step": 968
+    },
+    {
+      "epoch": 0.9692726079209778,
+      "grad_norm": 0.4792092442512512,
+      "learning_rate": 0.00015269825221294098,
+      "loss": 1.3018,
+      "step": 969
+    },
+    {
+      "epoch": 0.9702728892501016,
+      "grad_norm": 0.5222868323326111,
+      "learning_rate": 0.00015260913536913154,
+      "loss": 1.4063,
+      "step": 970
+    },
+    {
+      "epoch": 0.9712731705792254,
+      "grad_norm": 0.5373417139053345,
+      "learning_rate": 0.00015251996071739664,
+      "loss": 1.2183,
+      "step": 971
+    },
+    {
+      "epoch": 0.9722734519083492,
+      "grad_norm": 0.5624721050262451,
+      "learning_rate": 0.00015243072835572318,
+      "loss": 1.2696,
+      "step": 972
+    },
+    {
+      "epoch": 0.973273733237473,
+      "grad_norm": 0.46938082575798035,
+      "learning_rate": 0.0001523414383821613,
+      "loss": 1.3544,
+      "step": 973
+    },
+    {
+      "epoch": 0.9742740145665969,
+      "grad_norm": 0.45348694920539856,
+      "learning_rate": 0.00015225209089482462,
+      "loss": 1.2078,
+      "step": 974
+    },
+    {
+      "epoch": 0.9752742958957207,
+      "grad_norm": 0.48000606894493103,
+      "learning_rate": 0.0001521626859918898,
+      "loss": 1.1914,
+      "step": 975
+    },
+    {
+      "epoch": 0.9762745772248445,
+      "grad_norm": 0.5106796622276306,
+      "learning_rate": 0.00015207322377159668,
+      "loss": 1.3249,
+      "step": 976
+    },
+    {
+      "epoch": 0.9772748585539683,
+      "grad_norm": 0.49865373969078064,
+      "learning_rate": 0.00015198370433224805,
+      "loss": 1.2876,
+      "step": 977
+    },
+    {
+      "epoch": 0.9782751398830921,
+      "grad_norm": 0.5271755456924438,
+      "learning_rate": 0.00015189412777220958,
+      "loss": 1.3049,
+      "step": 978
+    },
+    {
+      "epoch": 0.9792754212122159,
+      "grad_norm": 0.49824708700180054,
+      "learning_rate": 0.00015180449418990976,
+      "loss": 1.1614,
+      "step": 979
+    },
+    {
+      "epoch": 0.9802757025413398,
+      "grad_norm": 0.7327549457550049,
+      "learning_rate": 0.00015171480368383964,
+      "loss": 1.2923,
+      "step": 980
+    },
+    {
+      "epoch": 0.9812759838704636,
+      "grad_norm": 0.5170425176620483,
+      "learning_rate": 0.00015162505635255287,
+      "loss": 1.3097,
+      "step": 981
+    },
+    {
+      "epoch": 0.9822762651995874,
+      "grad_norm": 0.47041526436805725,
+      "learning_rate": 0.00015153525229466555,
+      "loss": 1.3508,
+      "step": 982
+    },
+    {
+      "epoch": 0.9832765465287112,
+      "grad_norm": 0.4670693278312683,
+      "learning_rate": 0.00015144539160885613,
+      "loss": 1.3974,
+      "step": 983
+    },
+    {
+      "epoch": 0.984276827857835,
+      "grad_norm": 0.5745754837989807,
+      "learning_rate": 0.00015135547439386516,
+      "loss": 1.2977,
+      "step": 984
+    },
+    {
+      "epoch": 0.9852771091869589,
+      "grad_norm": 0.5845474004745483,
+      "learning_rate": 0.0001512655007484955,
+      "loss": 1.3384,
+      "step": 985
+    },
+    {
+      "epoch": 0.9862773905160827,
+      "grad_norm": 0.5627439618110657,
+      "learning_rate": 0.00015117547077161185,
+      "loss": 1.1756,
+      "step": 986
+    },
+    {
+      "epoch": 0.9872776718452064,
+      "grad_norm": 0.6411226987838745,
+      "learning_rate": 0.0001510853845621409,
+      "loss": 1.3441,
+      "step": 987
+    },
+    {
+      "epoch": 0.9882779531743303,
+      "grad_norm": 0.545659601688385,
+      "learning_rate": 0.00015099524221907107,
+      "loss": 1.3766,
+      "step": 988
+    },
+    {
+      "epoch": 0.9892782345034541,
+      "grad_norm": 0.5058498382568359,
+      "learning_rate": 0.0001509050438414525,
+      "loss": 1.3171,
+      "step": 989
+    },
+    {
+      "epoch": 0.9902785158325779,
+      "grad_norm": 0.6247567534446716,
+      "learning_rate": 0.00015081478952839693,
+      "loss": 1.2141,
+      "step": 990
+    },
+    {
+      "epoch": 0.9912787971617018,
+      "grad_norm": 0.5492308139801025,
+      "learning_rate": 0.00015072447937907753,
+      "loss": 1.1626,
+      "step": 991
+    },
+    {
+      "epoch": 0.9922790784908255,
+      "grad_norm": 0.4795534908771515,
+      "learning_rate": 0.00015063411349272877,
+      "loss": 1.218,
+      "step": 992
+    },
+    {
+      "epoch": 0.9932793598199494,
+      "grad_norm": 0.5527793169021606,
+      "learning_rate": 0.00015054369196864644,
+      "loss": 1.3816,
+      "step": 993
+    },
+    {
+      "epoch": 0.9942796411490732,
+      "grad_norm": 0.5297475457191467,
+      "learning_rate": 0.00015045321490618748,
+      "loss": 1.2515,
+      "step": 994
+    },
+    {
+      "epoch": 0.995279922478197,
+      "grad_norm": 0.518803596496582,
+      "learning_rate": 0.00015036268240476978,
+      "loss": 1.3631,
+      "step": 995
+    },
+    {
+      "epoch": 0.9962802038073209,
+      "grad_norm": 0.47196391224861145,
+      "learning_rate": 0.00015027209456387218,
+      "loss": 1.0932,
+      "step": 996
+    },
+    {
+      "epoch": 0.9972804851364446,
+      "grad_norm": 0.5369086861610413,
+      "learning_rate": 0.00015018145148303438,
+      "loss": 1.1181,
+      "step": 997
+    },
+    {
+      "epoch": 0.9982807664655684,
+      "grad_norm": 0.5940788388252258,
+      "learning_rate": 0.00015009075326185667,
+      "loss": 1.561,
+      "step": 998
+    },
+    {
+      "epoch": 0.9992810477946923,
+      "grad_norm": 0.5340734124183655,
+      "learning_rate": 0.00015000000000000001,
+      "loss": 1.2909,
+      "step": 999
+    },
+    {
+      "epoch": 1.0002813291238162,
+      "grad_norm": 0.5133704543113708,
+      "learning_rate": 0.00014990919179718584,
+      "loss": 1.0441,
+      "step": 1000
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 2997,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 6.479774965540454e+16,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}