{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 4.036697247706422,
  "eval_steps": 500,
  "global_step": 220,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.02,
      "learning_rate": 0.00019919156561236823,
      "loss": 2.1538,
      "step": 1
    },
    {
      "epoch": 0.04,
      "learning_rate": 0.00019835812809934576,
      "loss": 2.1787,
      "step": 2
    },
    {
      "epoch": 0.06,
      "learning_rate": 0.0001975246905863233,
      "loss": 1.769,
      "step": 3
    },
    {
      "epoch": 0.07,
      "learning_rate": 0.00019669125307330082,
      "loss": 1.4897,
      "step": 4
    },
    {
      "epoch": 0.09,
      "learning_rate": 0.00019585781556027837,
      "loss": 1.3456,
      "step": 5
    },
    {
      "epoch": 0.11,
      "learning_rate": 0.0001950243780472559,
      "loss": 1.3128,
      "step": 6
    },
    {
      "epoch": 0.13,
      "learning_rate": 0.00019419094053423346,
      "loss": 1.1232,
      "step": 7
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.000193357503021211,
      "loss": 1.0925,
      "step": 8
    },
    {
      "epoch": 0.17,
      "learning_rate": 0.00019252406550818854,
      "loss": 0.9432,
      "step": 9
    },
    {
      "epoch": 0.18,
      "learning_rate": 0.00019169062799516607,
      "loss": 1.1487,
      "step": 10
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.0001908571904821436,
      "loss": 0.8783,
      "step": 11
    },
    {
      "epoch": 0.22,
      "learning_rate": 0.00019002375296912116,
      "loss": 1.0987,
      "step": 12
    },
    {
      "epoch": 0.24,
      "learning_rate": 0.00018919031545609868,
      "loss": 1.1263,
      "step": 13
    },
    {
      "epoch": 0.26,
      "learning_rate": 0.00018835687794307624,
      "loss": 1.0026,
      "step": 14
    },
    {
      "epoch": 0.28,
      "learning_rate": 0.00018752344043005377,
      "loss": 0.9925,
      "step": 15
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.00018669000291703133,
      "loss": 0.9272,
      "step": 16
    },
    {
      "epoch": 0.31,
      "learning_rate": 0.00018585656540400885,
      "loss": 1.1142,
      "step": 17
    },
    {
      "epoch": 0.33,
      "learning_rate": 0.00018502312789098638,
      "loss": 0.8863,
      "step": 18
    },
    {
      "epoch": 0.35,
      "learning_rate": 0.0001841896903779639,
      "loss": 1.4011,
      "step": 19
    },
    {
      "epoch": 0.37,
      "learning_rate": 0.00018335625286494147,
      "loss": 1.1558,
      "step": 20
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.000182522815351919,
      "loss": 1.1528,
      "step": 21
    },
    {
      "epoch": 0.4,
      "learning_rate": 0.00018168937783889655,
      "loss": 0.9246,
      "step": 22
    },
    {
      "epoch": 0.42,
      "learning_rate": 0.00018085594032587408,
      "loss": 0.8869,
      "step": 23
    },
    {
      "epoch": 0.44,
      "learning_rate": 0.00018002250281285164,
      "loss": 0.9948,
      "step": 24
    },
    {
      "epoch": 0.46,
      "learning_rate": 0.00017918906529982914,
      "loss": 1.1422,
      "step": 25
    },
    {
      "epoch": 0.48,
      "learning_rate": 0.0001783556277868067,
      "loss": 1.0643,
      "step": 26
    },
    {
      "epoch": 0.5,
      "learning_rate": 0.00017752219027378422,
      "loss": 1.0188,
      "step": 27
    },
    {
      "epoch": 0.51,
      "learning_rate": 0.00017668875276076178,
      "loss": 1.2852,
      "step": 28
    },
    {
      "epoch": 0.53,
      "learning_rate": 0.0001758553152477393,
      "loss": 1.1224,
      "step": 29
    },
    {
      "epoch": 0.55,
      "learning_rate": 0.00017502187773471686,
      "loss": 0.9911,
      "step": 30
    },
    {
      "epoch": 0.57,
      "learning_rate": 0.0001741884402216944,
      "loss": 1.0483,
      "step": 31
    },
    {
      "epoch": 0.59,
      "learning_rate": 0.00017335500270867192,
      "loss": 1.0113,
      "step": 32
    },
    {
      "epoch": 0.61,
      "learning_rate": 0.00017252156519564945,
      "loss": 0.9042,
      "step": 33
    },
    {
      "epoch": 0.62,
      "learning_rate": 0.000171688127682627,
      "loss": 0.747,
      "step": 34
    },
    {
      "epoch": 0.64,
      "learning_rate": 0.00017085469016960453,
      "loss": 1.0973,
      "step": 35
    },
    {
      "epoch": 0.66,
      "learning_rate": 0.0001700212526565821,
      "loss": 1.2896,
      "step": 36
    },
    {
      "epoch": 0.68,
      "learning_rate": 0.00016918781514355962,
      "loss": 0.7344,
      "step": 37
    },
    {
      "epoch": 0.7,
      "learning_rate": 0.00016835437763053717,
      "loss": 1.1291,
      "step": 38
    },
    {
      "epoch": 0.72,
      "learning_rate": 0.0001675209401175147,
      "loss": 0.9825,
      "step": 39
    },
    {
      "epoch": 0.73,
      "learning_rate": 0.00016668750260449223,
      "loss": 1.1524,
      "step": 40
    },
    {
      "epoch": 0.75,
      "learning_rate": 0.00016585406509146976,
      "loss": 0.8895,
      "step": 41
    },
    {
      "epoch": 0.77,
      "learning_rate": 0.00016502062757844731,
      "loss": 0.8906,
      "step": 42
    },
    {
      "epoch": 0.79,
      "learning_rate": 0.00016418719006542484,
      "loss": 0.9501,
      "step": 43
    },
    {
      "epoch": 0.81,
      "learning_rate": 0.0001633537525524024,
      "loss": 1.215,
      "step": 44
    },
    {
      "epoch": 0.83,
      "learning_rate": 0.00016252031503937993,
      "loss": 1.1934,
      "step": 45
    },
    {
      "epoch": 0.84,
      "learning_rate": 0.00016168687752635748,
      "loss": 1.138,
      "step": 46
    },
    {
      "epoch": 0.86,
      "learning_rate": 0.000160853440013335,
      "loss": 1.147,
      "step": 47
    },
    {
      "epoch": 0.88,
      "learning_rate": 0.00016002000250031254,
      "loss": 1.1176,
      "step": 48
    },
    {
      "epoch": 0.9,
      "learning_rate": 0.00015918656498729007,
      "loss": 1.2923,
      "step": 49
    },
    {
      "epoch": 0.92,
      "learning_rate": 0.00015835312747426763,
      "loss": 0.6327,
      "step": 50
    },
    {
      "epoch": 0.94,
      "learning_rate": 0.00015751968996124515,
      "loss": 1.1538,
      "step": 51
    },
    {
      "epoch": 0.95,
      "learning_rate": 0.0001566862524482227,
      "loss": 0.9916,
      "step": 52
    },
    {
      "epoch": 0.97,
      "learning_rate": 0.00015585281493520024,
      "loss": 1.088,
      "step": 53
    },
    {
      "epoch": 0.99,
      "learning_rate": 0.00015501937742217777,
      "loss": 1.1032,
      "step": 54
    },
    {
      "epoch": 1.01,
      "learning_rate": 0.00015418593990915532,
      "loss": 0.9807,
      "step": 55
    },
    {
      "epoch": 1.03,
      "learning_rate": 0.00015335250239613285,
      "loss": 0.992,
      "step": 56
    },
    {
      "epoch": 1.05,
      "learning_rate": 0.0001525190648831104,
      "loss": 0.8244,
      "step": 57
    },
    {
      "epoch": 1.06,
      "learning_rate": 0.00015168562737008794,
      "loss": 0.6069,
      "step": 58
    },
    {
      "epoch": 1.08,
      "learning_rate": 0.0001508521898570655,
      "loss": 0.5618,
      "step": 59
    },
    {
      "epoch": 1.1,
      "learning_rate": 0.00015001875234404302,
      "loss": 0.7973,
      "step": 60
    },
    {
      "epoch": 1.12,
      "learning_rate": 0.00014918531483102055,
      "loss": 0.7905,
      "step": 61
    },
    {
      "epoch": 1.14,
      "learning_rate": 0.00014835187731799808,
      "loss": 0.557,
      "step": 62
    },
    {
      "epoch": 1.16,
      "learning_rate": 0.00014751843980497563,
      "loss": 0.5413,
      "step": 63
    },
    {
      "epoch": 1.17,
      "learning_rate": 0.00014668500229195316,
      "loss": 0.5814,
      "step": 64
    },
    {
      "epoch": 1.19,
      "learning_rate": 0.00014585156477893072,
      "loss": 0.4426,
      "step": 65
    },
    {
      "epoch": 1.21,
      "learning_rate": 0.00014501812726590825,
      "loss": 0.962,
      "step": 66
    },
    {
      "epoch": 1.23,
      "learning_rate": 0.0001441846897528858,
      "loss": 0.6668,
      "step": 67
    },
    {
      "epoch": 1.25,
      "learning_rate": 0.00014335125223986333,
      "loss": 0.5324,
      "step": 68
    },
    {
      "epoch": 1.27,
      "learning_rate": 0.00014251781472684086,
      "loss": 0.5355,
      "step": 69
    },
    {
      "epoch": 1.28,
      "learning_rate": 0.0001416843772138184,
      "loss": 0.8187,
      "step": 70
    },
    {
      "epoch": 1.3,
      "learning_rate": 0.00014085093970079594,
      "loss": 0.8092,
      "step": 71
    },
    {
      "epoch": 1.32,
      "learning_rate": 0.00014001750218777347,
      "loss": 0.5255,
      "step": 72
    },
    {
      "epoch": 1.34,
      "learning_rate": 0.00013918406467475103,
      "loss": 0.4591,
      "step": 73
    },
    {
      "epoch": 1.36,
      "learning_rate": 0.00013835062716172856,
      "loss": 0.9451,
      "step": 74
    },
    {
      "epoch": 1.38,
      "learning_rate": 0.00013751718964870611,
      "loss": 1.0429,
      "step": 75
    },
    {
      "epoch": 1.39,
      "learning_rate": 0.00013668375213568364,
      "loss": 0.9241,
      "step": 76
    },
    {
      "epoch": 1.41,
      "learning_rate": 0.00013585031462266117,
      "loss": 0.8724,
      "step": 77
    },
    {
      "epoch": 1.43,
      "learning_rate": 0.0001350168771096387,
      "loss": 0.5596,
      "step": 78
    },
    {
      "epoch": 1.45,
      "learning_rate": 0.00013418343959661626,
      "loss": 0.8192,
      "step": 79
    },
    {
      "epoch": 1.47,
      "learning_rate": 0.00013335000208359378,
      "loss": 0.9415,
      "step": 80
    },
    {
      "epoch": 1.49,
      "learning_rate": 0.00013251656457057134,
      "loss": 0.739,
      "step": 81
    },
    {
      "epoch": 1.5,
      "learning_rate": 0.00013168312705754887,
      "loss": 0.8788,
      "step": 82
    },
    {
      "epoch": 1.52,
      "learning_rate": 0.0001308496895445264,
      "loss": 0.6318,
      "step": 83
    },
    {
      "epoch": 1.54,
      "learning_rate": 0.00013001625203150393,
      "loss": 0.5367,
      "step": 84
    },
    {
      "epoch": 1.56,
      "learning_rate": 0.00012918281451848148,
      "loss": 0.7263,
      "step": 85
    },
    {
      "epoch": 1.58,
      "learning_rate": 0.000128349377005459,
      "loss": 0.9614,
      "step": 86
    },
    {
      "epoch": 1.6,
      "learning_rate": 0.00012751593949243657,
      "loss": 0.8175,
      "step": 87
    },
    {
      "epoch": 1.61,
      "learning_rate": 0.0001266825019794141,
      "loss": 0.7122,
      "step": 88
    },
    {
      "epoch": 1.63,
      "learning_rate": 0.00012584906446639165,
      "loss": 0.5881,
      "step": 89
    },
    {
      "epoch": 1.65,
      "learning_rate": 0.00012501562695336918,
      "loss": 0.7257,
      "step": 90
    },
    {
      "epoch": 1.67,
      "learning_rate": 0.0001241821894403467,
      "loss": 0.7989,
      "step": 91
    },
    {
      "epoch": 1.69,
      "learning_rate": 0.00012334875192732424,
      "loss": 0.6186,
      "step": 92
    },
    {
      "epoch": 1.71,
      "learning_rate": 0.0001225153144143018,
      "loss": 0.3911,
      "step": 93
    },
    {
      "epoch": 1.72,
      "learning_rate": 0.00012168187690127932,
      "loss": 0.5717,
      "step": 94
    },
    {
      "epoch": 1.74,
      "learning_rate": 0.00012084843938825688,
      "loss": 0.6305,
      "step": 95
    },
    {
      "epoch": 1.76,
      "learning_rate": 0.0001200150018752344,
      "loss": 0.6012,
      "step": 96
    },
    {
      "epoch": 1.78,
      "learning_rate": 0.00011918156436221195,
      "loss": 0.7495,
      "step": 97
    },
    {
      "epoch": 1.8,
      "learning_rate": 0.00011834812684918948,
      "loss": 0.7502,
      "step": 98
    },
    {
      "epoch": 1.82,
      "learning_rate": 0.00011751468933616703,
      "loss": 0.85,
      "step": 99
    },
    {
      "epoch": 1.83,
      "learning_rate": 0.00011668125182314456,
      "loss": 0.604,
      "step": 100
    },
    {
      "epoch": 1.85,
      "learning_rate": 0.0001158478143101221,
      "loss": 0.9405,
      "step": 101
    },
    {
      "epoch": 1.87,
      "learning_rate": 0.00011501437679709966,
      "loss": 0.4737,
      "step": 102
    },
    {
      "epoch": 1.89,
      "learning_rate": 0.00011418093928407719,
      "loss": 0.8025,
      "step": 103
    },
    {
      "epoch": 1.91,
      "learning_rate": 0.00011334750177105473,
      "loss": 0.7759,
      "step": 104
    },
    {
      "epoch": 1.93,
      "learning_rate": 0.00011251406425803226,
      "loss": 0.7529,
      "step": 105
    },
    {
      "epoch": 1.94,
      "learning_rate": 0.00011168062674500981,
      "loss": 0.6858,
      "step": 106
    },
    {
      "epoch": 1.96,
      "learning_rate": 0.00011084718923198733,
      "loss": 0.8112,
      "step": 107
    },
    {
      "epoch": 1.98,
      "learning_rate": 0.00011001375171896489,
      "loss": 0.6097,
      "step": 108
    },
    {
      "epoch": 2.0,
      "learning_rate": 0.00010918031420594241,
      "loss": 0.7296,
      "step": 109
    },
    {
      "epoch": 2.02,
      "learning_rate": 0.00010834687669291996,
      "loss": 0.5612,
      "step": 110
    },
    {
      "epoch": 2.04,
      "learning_rate": 0.00010751343917989749,
      "loss": 0.4,
      "step": 111
    },
    {
      "epoch": 2.06,
      "learning_rate": 0.00010668000166687504,
      "loss": 0.3471,
      "step": 112
    },
    {
      "epoch": 2.07,
      "learning_rate": 0.00010584656415385257,
      "loss": 0.5078,
      "step": 113
    },
    {
      "epoch": 2.09,
      "learning_rate": 0.00010501312664083011,
      "loss": 0.2617,
      "step": 114
    },
    {
      "epoch": 2.11,
      "learning_rate": 0.00010417968912780764,
      "loss": 0.4909,
      "step": 115
    },
    {
      "epoch": 2.13,
      "learning_rate": 0.0001033462516147852,
      "loss": 0.4184,
      "step": 116
    },
    {
      "epoch": 2.15,
      "learning_rate": 0.00010251281410176273,
      "loss": 0.2669,
      "step": 117
    },
    {
      "epoch": 2.17,
      "learning_rate": 0.00010167937658874027,
      "loss": 0.3185,
      "step": 118
    },
    {
      "epoch": 2.18,
      "learning_rate": 0.0001008459390757178,
      "loss": 0.4198,
      "step": 119
    },
    {
      "epoch": 2.2,
      "learning_rate": 0.00010001250156269535,
      "loss": 0.3946,
      "step": 120
    },
    {
      "epoch": 2.22,
      "learning_rate": 9.917906404967288e-05,
      "loss": 0.3378,
      "step": 121
    },
    {
      "epoch": 2.24,
      "learning_rate": 9.834562653665041e-05,
      "loss": 0.287,
      "step": 122
    },
    {
      "epoch": 2.26,
      "learning_rate": 9.751218902362795e-05,
      "loss": 0.2577,
      "step": 123
    },
    {
      "epoch": 2.28,
      "learning_rate": 9.66787515106055e-05,
      "loss": 0.3326,
      "step": 124
    },
    {
      "epoch": 2.29,
      "learning_rate": 9.584531399758304e-05,
      "loss": 0.3724,
      "step": 125
    },
    {
      "epoch": 2.31,
      "learning_rate": 9.501187648456058e-05,
      "loss": 0.1924,
      "step": 126
    },
    {
      "epoch": 2.33,
      "learning_rate": 9.417843897153812e-05,
      "loss": 0.2683,
      "step": 127
    },
    {
      "epoch": 2.35,
      "learning_rate": 9.334500145851566e-05,
      "loss": 0.368,
      "step": 128
    },
    {
      "epoch": 2.37,
      "learning_rate": 9.251156394549319e-05,
      "loss": 0.3479,
      "step": 129
    },
    {
      "epoch": 2.39,
      "learning_rate": 9.167812643247073e-05,
      "loss": 0.4842,
      "step": 130
    },
    {
      "epoch": 2.4,
      "learning_rate": 9.084468891944828e-05,
      "loss": 0.404,
      "step": 131
    },
    {
      "epoch": 2.42,
      "learning_rate": 9.001125140642582e-05,
      "loss": 0.5347,
      "step": 132
    },
    {
      "epoch": 2.44,
      "learning_rate": 8.917781389340335e-05,
      "loss": 0.1655,
      "step": 133
    },
    {
      "epoch": 2.46,
      "learning_rate": 8.834437638038089e-05,
      "loss": 0.3897,
      "step": 134
    },
    {
      "epoch": 2.48,
      "learning_rate": 8.751093886735843e-05,
      "loss": 0.4423,
      "step": 135
    },
    {
      "epoch": 2.5,
      "learning_rate": 8.667750135433596e-05,
      "loss": 0.5997,
      "step": 136
    },
    {
      "epoch": 2.51,
      "learning_rate": 8.58440638413135e-05,
      "loss": 0.4646,
      "step": 137
    },
    {
      "epoch": 2.53,
      "learning_rate": 8.501062632829104e-05,
      "loss": 0.3572,
      "step": 138
    },
    {
      "epoch": 2.55,
      "learning_rate": 8.417718881526859e-05,
      "loss": 0.1949,
      "step": 139
    },
    {
      "epoch": 2.57,
      "learning_rate": 8.334375130224612e-05,
      "loss": 0.2445,
      "step": 140
    },
    {
      "epoch": 2.59,
      "learning_rate": 8.251031378922366e-05,
      "loss": 0.1282,
      "step": 141
    },
    {
      "epoch": 2.61,
      "learning_rate": 8.16768762762012e-05,
      "loss": 0.3019,
      "step": 142
    },
    {
      "epoch": 2.62,
      "learning_rate": 8.084343876317874e-05,
      "loss": 0.5425,
      "step": 143
    },
    {
      "epoch": 2.64,
      "learning_rate": 8.001000125015627e-05,
      "loss": 0.2889,
      "step": 144
    },
    {
      "epoch": 2.66,
      "learning_rate": 7.917656373713381e-05,
      "loss": 0.5389,
      "step": 145
    },
    {
      "epoch": 2.68,
      "learning_rate": 7.834312622411136e-05,
      "loss": 0.3105,
      "step": 146
    },
    {
      "epoch": 2.7,
      "learning_rate": 7.750968871108888e-05,
      "loss": 0.2775,
      "step": 147
    },
    {
      "epoch": 2.72,
      "learning_rate": 7.667625119806643e-05,
      "loss": 0.2566,
      "step": 148
    },
    {
      "epoch": 2.73,
      "learning_rate": 7.584281368504397e-05,
      "loss": 0.4733,
      "step": 149
    },
    {
      "epoch": 2.75,
      "learning_rate": 7.500937617202151e-05,
      "loss": 0.5824,
      "step": 150
    },
    {
      "epoch": 2.77,
      "learning_rate": 7.417593865899904e-05,
      "loss": 0.4396,
      "step": 151
    },
    {
      "epoch": 2.79,
      "learning_rate": 7.334250114597658e-05,
      "loss": 0.3624,
      "step": 152
    },
    {
      "epoch": 2.81,
      "learning_rate": 7.250906363295412e-05,
      "loss": 0.3028,
      "step": 153
    },
    {
      "epoch": 2.83,
      "learning_rate": 7.167562611993167e-05,
      "loss": 0.4637,
      "step": 154
    },
    {
      "epoch": 2.84,
      "learning_rate": 7.08421886069092e-05,
      "loss": 0.4665,
      "step": 155
    },
    {
      "epoch": 2.86,
      "learning_rate": 7.000875109388674e-05,
      "loss": 0.395,
      "step": 156
    },
    {
      "epoch": 2.88,
      "learning_rate": 6.917531358086428e-05,
      "loss": 0.349,
      "step": 157
    },
    {
      "epoch": 2.9,
      "learning_rate": 6.834187606784182e-05,
      "loss": 0.308,
      "step": 158
    },
    {
      "epoch": 2.92,
      "learning_rate": 6.750843855481935e-05,
      "loss": 0.3379,
      "step": 159
    },
    {
      "epoch": 2.94,
      "learning_rate": 6.667500104179689e-05,
      "loss": 0.3393,
      "step": 160
    },
    {
      "epoch": 2.95,
      "learning_rate": 6.584156352877443e-05,
      "loss": 0.265,
      "step": 161
    },
    {
      "epoch": 2.97,
      "learning_rate": 6.500812601575196e-05,
      "loss": 0.3515,
      "step": 162
    },
    {
      "epoch": 2.99,
      "learning_rate": 6.41746885027295e-05,
      "loss": 0.3806,
      "step": 163
    },
    {
      "epoch": 3.01,
      "learning_rate": 6.334125098970705e-05,
      "loss": 0.1495,
      "step": 164
    },
    {
      "epoch": 3.03,
      "learning_rate": 6.250781347668459e-05,
      "loss": 0.1339,
      "step": 165
    },
    {
      "epoch": 3.05,
      "learning_rate": 6.167437596366212e-05,
      "loss": 0.1661,
      "step": 166
    },
    {
      "epoch": 3.06,
      "learning_rate": 6.084093845063966e-05,
      "loss": 0.1169,
      "step": 167
    },
    {
      "epoch": 3.08,
      "learning_rate": 6.00075009376172e-05,
      "loss": 0.1587,
      "step": 168
    },
    {
      "epoch": 3.1,
      "learning_rate": 5.917406342459474e-05,
      "loss": 0.1224,
      "step": 169
    },
    {
      "epoch": 3.12,
      "learning_rate": 5.834062591157228e-05,
      "loss": 0.1495,
      "step": 170
    },
    {
      "epoch": 3.14,
      "learning_rate": 5.750718839854983e-05,
      "loss": 0.1137,
      "step": 171
    },
    {
      "epoch": 3.16,
      "learning_rate": 5.6673750885527365e-05,
      "loss": 0.1997,
      "step": 172
    },
    {
      "epoch": 3.17,
      "learning_rate": 5.584031337250491e-05,
      "loss": 0.1012,
      "step": 173
    },
    {
      "epoch": 3.19,
      "learning_rate": 5.500687585948244e-05,
      "loss": 0.0897,
      "step": 174
    },
    {
      "epoch": 3.21,
      "learning_rate": 5.417343834645998e-05,
      "loss": 0.0843,
      "step": 175
    },
    {
      "epoch": 3.23,
      "learning_rate": 5.334000083343752e-05,
      "loss": 0.1603,
      "step": 176
    },
    {
      "epoch": 3.25,
      "learning_rate": 5.2506563320415056e-05,
      "loss": 0.1169,
      "step": 177
    },
    {
      "epoch": 3.27,
      "learning_rate": 5.16731258073926e-05,
      "loss": 0.0993,
      "step": 178
    },
    {
      "epoch": 3.28,
      "learning_rate": 5.0839688294370134e-05,
      "loss": 0.1018,
      "step": 179
    },
    {
      "epoch": 3.3,
      "learning_rate": 5.0006250781347676e-05,
      "loss": 0.1279,
      "step": 180
    },
    {
      "epoch": 3.32,
      "learning_rate": 4.9172813268325205e-05,
      "loss": 0.27,
      "step": 181
    },
    {
      "epoch": 3.34,
      "learning_rate": 4.833937575530275e-05,
      "loss": 0.2169,
      "step": 182
    },
    {
      "epoch": 3.36,
      "learning_rate": 4.750593824228029e-05,
      "loss": 0.0919,
      "step": 183
    },
    {
      "epoch": 3.38,
      "learning_rate": 4.667250072925783e-05,
      "loss": 0.1618,
      "step": 184
    },
    {
      "epoch": 3.39,
      "learning_rate": 4.583906321623537e-05,
      "loss": 0.0735,
      "step": 185
    },
    {
      "epoch": 3.41,
      "learning_rate": 4.500562570321291e-05,
      "loss": 0.0924,
      "step": 186
    },
    {
      "epoch": 3.43,
      "learning_rate": 4.4172188190190444e-05,
      "loss": 0.1398,
      "step": 187
    },
    {
      "epoch": 3.45,
      "learning_rate": 4.333875067716798e-05,
      "loss": 0.3616,
      "step": 188
    },
    {
      "epoch": 3.47,
      "learning_rate": 4.250531316414552e-05,
      "loss": 0.2796,
      "step": 189
    },
    {
      "epoch": 3.49,
      "learning_rate": 4.167187565112306e-05,
      "loss": 0.1794,
      "step": 190
    },
    {
      "epoch": 3.5,
      "learning_rate": 4.08384381381006e-05,
      "loss": 0.2183,
      "step": 191
    },
    {
      "epoch": 3.52,
      "learning_rate": 4.0005000625078135e-05,
      "loss": 0.2381,
      "step": 192
    },
    {
      "epoch": 3.54,
      "learning_rate": 3.917156311205568e-05,
      "loss": 0.1094,
      "step": 193
    },
    {
      "epoch": 3.56,
      "learning_rate": 3.833812559903321e-05,
      "loss": 0.1113,
      "step": 194
    },
    {
      "epoch": 3.58,
      "learning_rate": 3.7504688086010755e-05,
      "loss": 0.1681,
      "step": 195
    },
    {
      "epoch": 3.6,
      "learning_rate": 3.667125057298829e-05,
      "loss": 0.1226,
      "step": 196
    },
    {
      "epoch": 3.61,
      "learning_rate": 3.583781305996583e-05,
      "loss": 0.2821,
      "step": 197
    },
    {
      "epoch": 3.63,
      "learning_rate": 3.500437554694337e-05,
      "loss": 0.1742,
      "step": 198
    },
    {
      "epoch": 3.65,
      "learning_rate": 3.417093803392091e-05,
      "loss": 0.289,
      "step": 199
    },
    {
      "epoch": 3.67,
      "learning_rate": 3.3337500520898446e-05,
      "loss": 0.2191,
      "step": 200
    },
    {
      "epoch": 3.69,
      "learning_rate": 3.250406300787598e-05,
      "loss": 0.1286,
      "step": 201
    },
    {
      "epoch": 3.71,
      "learning_rate": 3.1670625494853524e-05,
      "loss": 0.2275,
      "step": 202
    },
    {
      "epoch": 3.72,
      "learning_rate": 3.083718798183106e-05,
      "loss": 0.0647,
      "step": 203
    },
    {
      "epoch": 3.74,
      "learning_rate": 3.00037504688086e-05,
      "loss": 0.0477,
      "step": 204
    },
    {
      "epoch": 3.76,
      "learning_rate": 2.917031295578614e-05,
      "loss": 0.2203,
      "step": 205
    },
    {
      "epoch": 3.78,
      "learning_rate": 2.8336875442763683e-05,
      "loss": 0.2017,
      "step": 206
    },
    {
      "epoch": 3.8,
      "learning_rate": 2.750343792974122e-05,
      "loss": 0.1703,
      "step": 207
    },
    {
      "epoch": 3.82,
      "learning_rate": 2.667000041671876e-05,
      "loss": 0.2045,
      "step": 208
    },
    {
      "epoch": 3.83,
      "learning_rate": 2.58365629036963e-05,
      "loss": 0.0735,
      "step": 209
    },
    {
      "epoch": 3.85,
      "learning_rate": 2.5003125390673838e-05,
      "loss": 0.143,
      "step": 210
    },
    {
      "epoch": 3.87,
      "learning_rate": 2.4169687877651373e-05,
      "loss": 0.0957,
      "step": 211
    },
    {
      "epoch": 3.89,
      "learning_rate": 2.3336250364628916e-05,
      "loss": 0.1068,
      "step": 212
    },
    {
      "epoch": 3.91,
      "learning_rate": 2.2502812851606454e-05,
      "loss": 0.0779,
      "step": 213
    },
    {
      "epoch": 3.93,
      "learning_rate": 2.166937533858399e-05,
      "loss": 0.1485,
      "step": 214
    },
    {
      "epoch": 3.94,
      "learning_rate": 2.083593782556153e-05,
      "loss": 0.1665,
      "step": 215
    },
    {
      "epoch": 3.96,
      "learning_rate": 2.0002500312539068e-05,
      "loss": 0.1002,
      "step": 216
    },
    {
      "epoch": 3.98,
      "learning_rate": 1.9169062799516606e-05,
      "loss": 0.0731,
      "step": 217
    },
    {
      "epoch": 4.0,
      "learning_rate": 1.8335625286494145e-05,
      "loss": 0.2159,
      "step": 218
    },
    {
      "epoch": 4.02,
      "learning_rate": 1.7502187773471684e-05,
      "loss": 0.1446,
      "step": 219
    },
    {
      "epoch": 4.04,
      "learning_rate": 1.6668750260449223e-05,
      "loss": 0.0548,
      "step": 220
    }
  ],
  "logging_steps": 1,
  "max_steps": 240,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "save_steps": 20,
  "total_flos": 1.3658971558649856e+16,
  "train_batch_size": 1,
  "trial_name": null,
  "trial_params": null
}