{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.6628735568690273,
  "global_step": 12000,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.0,
      "learning_rate": 6.226286401385679e-05,
      "loss": 1.4854,
      "step": 10
    },
    {
      "epoch": 0.0,
      "learning_rate": 8.100585369797515e-05,
      "loss": 1.3991,
      "step": 20
    },
    {
      "epoch": 0.0,
      "learning_rate": 9.196979981458785e-05,
      "loss": 1.2649,
      "step": 30
    },
    {
      "epoch": 0.0,
      "learning_rate": 9.97488433820935e-05,
      "loss": 1.3398,
      "step": 40
    },
    {
      "epoch": 0.0,
      "learning_rate": 0.0001057827383435952,
      "loss": 1.1817,
      "step": 50
    },
    {
      "epoch": 0.0,
      "learning_rate": 0.0001107127894987062,
      "loss": 1.3592,
      "step": 60
    },
    {
      "epoch": 0.0,
      "learning_rate": 0.00011488108835764138,
      "loss": 1.1946,
      "step": 70
    },
    {
      "epoch": 0.0,
      "learning_rate": 0.00011849183306621185,
      "loss": 1.2433,
      "step": 80
    },
    {
      "epoch": 0.0,
      "learning_rate": 0.00012167673561531892,
      "loss": 1.2936,
      "step": 90
    },
    {
      "epoch": 0.01,
      "learning_rate": 0.00012452572802771359,
      "loss": 1.1955,
      "step": 100
    },
    {
      "epoch": 0.01,
      "learning_rate": 0.00012710295515488854,
      "loss": 1.3258,
      "step": 110
    },
    {
      "epoch": 0.01,
      "learning_rate": 0.00012945577918282457,
      "loss": 1.2087,
      "step": 120
    },
    {
      "epoch": 0.01,
      "learning_rate": 0.00013162016747767712,
      "loss": 1.2059,
      "step": 130
    },
    {
      "epoch": 0.01,
      "learning_rate": 0.00013362407804175968,
      "loss": 1.2616,
      "step": 140
    },
    {
      "epoch": 0.01,
      "learning_rate": 0.00013548967414432628,
      "loss": 1.1475,
      "step": 150
    },
    {
      "epoch": 0.01,
      "learning_rate": 0.0001372348227503302,
      "loss": 1.3272,
      "step": 160
    },
    {
      "epoch": 0.01,
      "learning_rate": 0.000138874137881629,
      "loss": 1.2506,
      "step": 170
    },
    {
      "epoch": 0.01,
      "learning_rate": 0.0001404197252994373,
      "loss": 1.2071,
      "step": 180
    },
    {
      "epoch": 0.01,
      "learning_rate": 0.00014188172557721247,
      "loss": 1.3089,
      "step": 190
    },
    {
      "epoch": 0.01,
      "learning_rate": 0.0001432687177118319,
      "loss": 1.1428,
      "step": 200
    },
    {
      "epoch": 0.01,
      "learning_rate": 0.00014458802415837242,
      "loss": 1.2244,
      "step": 210
    },
    {
      "epoch": 0.01,
      "learning_rate": 0.0001458459448390069,
      "loss": 1.1951,
      "step": 220
    },
    {
      "epoch": 0.01,
      "learning_rate": 0.00014704793909170365,
      "loss": 1.215,
      "step": 230
    },
    {
      "epoch": 0.01,
      "learning_rate": 0.00014819876886694292,
      "loss": 1.2766,
      "step": 240
    },
    {
      "epoch": 0.01,
      "learning_rate": 0.00014930261267333362,
      "loss": 1.1436,
      "step": 250
    },
    {
      "epoch": 0.01,
      "learning_rate": 0.00015036315716179547,
      "loss": 1.2817,
      "step": 260
    },
    {
      "epoch": 0.01,
      "learning_rate": 0.00015138367141604998,
      "loss": 1.2022,
      "step": 270
    },
    {
      "epoch": 0.02,
      "learning_rate": 0.00015236706772587806,
      "loss": 1.2149,
      "step": 280
    },
    {
      "epoch": 0.02,
      "learning_rate": 0.0001533159516911759,
      "loss": 1.2048,
      "step": 290
    },
    {
      "epoch": 0.02,
      "learning_rate": 0.00015423266382844463,
      "loss": 1.1425,
      "step": 300
    },
    {
      "epoch": 0.02,
      "learning_rate": 0.00015511931435253522,
      "loss": 1.2738,
      "step": 310
    },
    {
      "epoch": 0.02,
      "learning_rate": 0.0001559778124344486,
      "loss": 1.1905,
      "step": 320
    },
    {
      "epoch": 0.02,
      "learning_rate": 0.00015680989095561958,
      "loss": 1.1633,
      "step": 330
    },
    {
      "epoch": 0.02,
      "learning_rate": 0.00015761712756574739,
      "loss": 1.2421,
      "step": 340
    },
    {
      "epoch": 0.02,
      "learning_rate": 0.00015840096268737977,
      "loss": 1.144,
      "step": 350
    },
    {
      "epoch": 0.02,
      "learning_rate": 0.00015916271498355564,
      "loss": 1.2408,
      "step": 360
    },
    {
      "epoch": 0.02,
      "learning_rate": 0.00015990359470573583,
      "loss": 1.2195,
      "step": 370
    },
    {
      "epoch": 0.02,
      "learning_rate": 0.00016062471526133082,
      "loss": 1.2085,
      "step": 380
    },
    {
      "epoch": 0.02,
      "learning_rate": 0.0001613271032784082,
      "loss": 1.243,
      "step": 390
    },
    {
      "epoch": 0.02,
      "learning_rate": 0.0001620117073959503,
      "loss": 1.1044,
      "step": 400
    },
    {
      "epoch": 0.02,
      "learning_rate": 0.00016267940596854117,
      "loss": 1.2442,
      "step": 410
    },
    {
      "epoch": 0.02,
      "learning_rate": 0.00016333101384249078,
      "loss": 1.1882,
      "step": 420
    },
    {
      "epoch": 0.02,
      "learning_rate": 0.00016396728833453322,
      "loss": 1.1486,
      "step": 430
    },
    {
      "epoch": 0.02,
      "learning_rate": 0.00016458893452312522,
      "loss": 1.2567,
      "step": 440
    },
    {
      "epoch": 0.02,
      "learning_rate": 0.00016519660994505735,
      "loss": 1.164,
      "step": 450
    },
    {
      "epoch": 0.03,
      "learning_rate": 0.000165790928775822,
      "loss": 1.2633,
      "step": 460
    },
    {
      "epoch": 0.03,
      "learning_rate": 0.00016637246556036958,
      "loss": 1.1913,
      "step": 470
    },
    {
      "epoch": 0.03,
      "learning_rate": 0.00016694175855106128,
      "loss": 1.1477,
      "step": 480
    },
    {
      "epoch": 0.03,
      "learning_rate": 0.00016749931270142591,
      "loss": 1.2731,
      "step": 490
    },
    {
      "epoch": 0.03,
      "learning_rate": 0.000168045602357452,
      "loss": 1.1511,
      "step": 500
    },
    {
      "epoch": 0.03,
      "learning_rate": 0.00016858107368236008,
      "loss": 1.2301,
      "step": 510
    },
    {
      "epoch": 0.03,
      "learning_rate": 0.00016910614684591385,
      "loss": 1.1907,
      "step": 520
    },
    {
      "epoch": 0.03,
      "learning_rate": 0.00016962121800518536,
      "loss": 1.1612,
      "step": 530
    },
    {
      "epoch": 0.03,
      "learning_rate": 0.00017012666110016836,
      "loss": 1.2319,
      "step": 540
    },
    {
      "epoch": 0.03,
      "learning_rate": 0.00017062282948462692,
      "loss": 1.1193,
      "step": 550
    },
    {
      "epoch": 0.03,
      "learning_rate": 0.00017111005740999641,
      "loss": 1.2784,
      "step": 560
    },
    {
      "epoch": 0.03,
      "learning_rate": 0.00017158866137794354,
      "loss": 1.1673,
      "step": 570
    },
    {
      "epoch": 0.03,
      "learning_rate": 0.00017205894137529426,
      "loss": 1.1765,
      "step": 580
    },
    {
      "epoch": 0.03,
      "learning_rate": 0.00017252118200339632,
      "loss": 1.2579,
      "step": 590
    },
    {
      "epoch": 0.03,
      "learning_rate": 0.00017297565351256298,
      "loss": 1.1393,
      "step": 600
    },
    {
      "epoch": 0.03,
      "learning_rate": 0.00017342261275101354,
      "loss": 1.2666,
      "step": 610
    },
    {
      "epoch": 0.03,
      "learning_rate": 0.00017386230403665357,
      "loss": 1.2035,
      "step": 620
    },
    {
      "epoch": 0.03,
      "learning_rate": 0.0001742949599591035,
      "loss": 1.1859,
      "step": 630
    },
    {
      "epoch": 0.04,
      "learning_rate": 0.00017472080211856694,
      "loss": 1.2394,
      "step": 640
    },
    {
      "epoch": 0.04,
      "learning_rate": 0.00017514004180741556,
      "loss": 1.1103,
      "step": 650
    },
    {
      "epoch": 0.04,
      "learning_rate": 0.00017555288063973793,
      "loss": 1.1979,
      "step": 660
    },
    {
      "epoch": 0.04,
      "learning_rate": 0.00017595951113354868,
      "loss": 1.1613,
      "step": 670
    },
    {
      "epoch": 0.04,
      "learning_rate": 0.0001763601172498657,
      "loss": 1.1612,
      "step": 680
    },
    {
      "epoch": 0.04,
      "learning_rate": 0.0001767548748924347,
      "loss": 1.2676,
      "step": 690
    },
    {
      "epoch": 0.04,
      "learning_rate": 0.00017714395237149812,
      "loss": 1.1264,
      "step": 700
    },
    {
      "epoch": 0.04,
      "learning_rate": 0.00017752751083466962,
      "loss": 1.2567,
      "step": 710
    },
    {
      "epoch": 0.04,
      "learning_rate": 0.000177905704667674,
      "loss": 1.1648,
      "step": 720
    },
    {
      "epoch": 0.04,
      "learning_rate": 0.0001782786818674474,
      "loss": 1.192,
      "step": 730
    },
    {
      "epoch": 0.04,
      "learning_rate": 0.00017864658438985419,
      "loss": 1.2161,
      "step": 740
    },
    {
      "epoch": 0.04,
      "learning_rate": 0.00017900954847406472,
      "loss": 1.1022,
      "step": 750
    },
    {
      "epoch": 0.04,
      "learning_rate": 0.0001793677049454492,
      "loss": 1.3062,
      "step": 760
    },
    {
      "epoch": 0.04,
      "learning_rate": 0.0001797211794986731,
      "loss": 1.1351,
      "step": 770
    },
    {
      "epoch": 0.04,
      "learning_rate": 0.00018007009296252654,
      "loss": 1.209,
      "step": 780
    },
    {
      "epoch": 0.04,
      "learning_rate": 0.00018041456154788414,
      "loss": 1.2362,
      "step": 790
    },
    {
      "epoch": 0.04,
      "learning_rate": 0.00018075469708006865,
      "loss": 1.1302,
      "step": 800
    },
    {
      "epoch": 0.04,
      "learning_rate": 0.00018109060721678105,
      "loss": 1.2922,
      "step": 810
    },
    {
      "epoch": 0.05,
      "learning_rate": 0.0001814223956526595,
      "loss": 1.1519,
      "step": 820
    },
    {
      "epoch": 0.05,
      "learning_rate": 0.00018175016231143995,
      "loss": 1.1629,
      "step": 830
    },
    {
      "epoch": 0.05,
      "learning_rate": 0.00018207400352660916,
      "loss": 1.2504,
      "step": 840
    },
    {
      "epoch": 0.05,
      "learning_rate": 0.00018239401221136744,
      "loss": 1.1551,
      "step": 850
    },
    {
      "epoch": 0.05,
      "learning_rate": 0.0001827102780186516,
      "loss": 1.2317,
      "step": 860
    },
    {
      "epoch": 0.05,
      "learning_rate": 0.00018302288749190697,
      "loss": 1.1559,
      "step": 870
    },
    {
      "epoch": 0.05,
      "learning_rate": 0.0001833319242072436,
      "loss": 1.2097,
      "step": 880
    },
    {
      "epoch": 0.05,
      "learning_rate": 0.00018363746890756038,
      "loss": 1.228,
      "step": 890
    },
    {
      "epoch": 0.05,
      "learning_rate": 0.0001839395996291757,
      "loss": 1.1432,
      "step": 900
    },
    {
      "epoch": 0.05,
      "learning_rate": 0.0001842383918214617,
      "loss": 1.1888,
      "step": 910
    },
    {
      "epoch": 0.05,
      "learning_rate": 0.00018453391845994036,
      "loss": 1.1958,
      "step": 920
    },
    {
      "epoch": 0.05,
      "learning_rate": 0.00018482625015326626,
      "loss": 1.148,
      "step": 930
    },
    {
      "epoch": 0.05,
      "learning_rate": 0.00018511545524448793,
      "loss": 1.242,
      "step": 940
    },
    {
      "epoch": 0.05,
      "learning_rate": 0.0001854015999069509,
      "loss": 1.1326,
      "step": 950
    },
    {
      "epoch": 0.05,
      "learning_rate": 0.00018568474823517966,
      "loss": 1.2941,
      "step": 960
    },
    {
      "epoch": 0.05,
      "learning_rate": 0.0001859649623310504,
      "loss": 1.1983,
      "step": 970
    },
    {
      "epoch": 0.05,
      "learning_rate": 0.00018624230238554427,
      "loss": 1.156,
      "step": 980
    },
    {
      "epoch": 0.05,
      "learning_rate": 0.00018651682675635065,
      "loss": 1.2216,
      "step": 990
    },
    {
      "epoch": 0.06,
      "learning_rate": 0.00018678859204157035,
      "loss": 1.0838,
      "step": 1000
    },
    {
      "epoch": 0.06,
      "learning_rate": 0.00018705765314975205,
      "loss": 1.2639,
      "step": 1010
    },
    {
      "epoch": 0.06,
      "learning_rate": 0.00018732406336647843,
      "loss": 1.1877,
      "step": 1020
    },
    {
      "epoch": 0.06,
      "learning_rate": 0.00018758787441770382,
      "loss": 1.1674,
      "step": 1030
    },
    {
      "epoch": 0.06,
      "learning_rate": 0.0001878491365300322,
      "loss": 1.1946,
      "step": 1040
    },
    {
      "epoch": 0.06,
      "learning_rate": 0.00018810789848811086,
      "loss": 1.121,
      "step": 1050
    },
    {
      "epoch": 0.06,
      "learning_rate": 0.00018836420768930372,
      "loss": 1.2559,
      "step": 1060
    },
    {
      "epoch": 0.06,
      "learning_rate": 0.00018861811019579795,
      "loss": 1.123,
      "step": 1070
    },
    {
      "epoch": 0.06,
      "learning_rate": 0.0001888696507842867,
      "loss": 1.1994,
      "step": 1080
    },
    {
      "epoch": 0.06,
      "learning_rate": 0.00018911887299336228,
      "loss": 1.2116,
      "step": 1090
    },
    {
      "epoch": 0.06,
      "learning_rate": 0.0001893658191687453,
      "loss": 1.0746,
      "step": 1100
    },
    {
      "epoch": 0.06,
      "learning_rate": 0.0001896105305064669,
      "loss": 1.2671,
      "step": 1110
    },
    {
      "epoch": 0.06,
      "learning_rate": 0.00018985304709411477,
      "loss": 1.1409,
      "step": 1120
    },
    {
      "epoch": 0.06,
      "learning_rate": 0.00019009340795024567,
      "loss": 1.1153,
      "step": 1130
    },
    {
      "epoch": 0.06,
      "learning_rate": 0.0001903316510620619,
      "loss": 1.2162,
      "step": 1140
    },
    {
      "epoch": 0.06,
      "learning_rate": 0.00019056781342144207,
      "loss": 1.103,
      "step": 1150
    },
    {
      "epoch": 0.06,
      "learning_rate": 0.0001908019310594126,
      "loss": 1.2478,
      "step": 1160
    },
    {
      "epoch": 0.06,
      "learning_rate": 0.00019103403907913926,
      "loss": 1.1723,
      "step": 1170
    },
    {
      "epoch": 0.07,
      "learning_rate": 0.0001912641716875147,
      "loss": 1.1992,
      "step": 1180
    },
    {
      "epoch": 0.07,
      "learning_rate": 0.0001914923622254136,
      "loss": 1.2087,
      "step": 1190
    },
    {
      "epoch": 0.07,
      "learning_rate": 0.00019171864319668136,
      "loss": 1.1551,
      "step": 1200
    },
    {
      "epoch": 0.07,
      "learning_rate": 0.00019194304629592022,
      "loss": 1.2317,
      "step": 1210
    },
    {
      "epoch": 0.07,
      "learning_rate": 0.00019216560243513192,
      "loss": 1.1294,
      "step": 1220
    },
    {
      "epoch": 0.07,
      "learning_rate": 0.0001923863417692722,
      "loss": 1.1429,
      "step": 1230
    },
    {
      "epoch": 0.07,
      "learning_rate": 0.00019260529372077195,
      "loss": 1.2404,
      "step": 1240
    },
    {
      "epoch": 0.07,
      "learning_rate": 0.00019282248700307206,
      "loss": 1.1336,
      "step": 1250
    },
    {
      "epoch": 0.07,
      "learning_rate": 0.00019303794964322185,
      "loss": 1.2671,
      "step": 1260
    },
    {
      "epoch": 0.07,
      "learning_rate": 0.00019325170900358343,
      "loss": 1.1229,
      "step": 1270
    },
    {
      "epoch": 0.07,
      "learning_rate": 0.0001934637918026853,
      "loss": 1.1335,
      "step": 1280
    },
    {
      "epoch": 0.07,
      "learning_rate": 0.0001936742241352643,
      "loss": 1.2139,
      "step": 1290
    },
    {
      "epoch": 0.07,
      "learning_rate": 0.0001938830314915339,
      "loss": 1.0886,
      "step": 1300
    },
    {
      "epoch": 0.07,
      "learning_rate": 0.000194090238775714,
      "loss": 1.2325,
      "step": 1310
    },
    {
      "epoch": 0.07,
      "learning_rate": 0.0001942958703238563,
      "loss": 1.1449,
      "step": 1320
    },
    {
      "epoch": 0.07,
      "learning_rate": 0.00019449994992099703,
      "loss": 1.1834,
      "step": 1330
    },
    {
      "epoch": 0.07,
      "learning_rate": 0.00019470250081766706,
      "loss": 1.2746,
      "step": 1340
    },
    {
      "epoch": 0.07,
      "learning_rate": 0.00019490354574578842,
      "loss": 1.103,
      "step": 1350
    },
    {
      "epoch": 0.08,
      "learning_rate": 0.0001951031069339841,
      "loss": 1.2797,
      "step": 1360
    },
    {
      "epoch": 0.08,
      "learning_rate": 0.0001953012061223271,
      "loss": 1.1534,
      "step": 1370
    },
    {
      "epoch": 0.08,
      "learning_rate": 0.00019549786457655305,
      "loss": 1.1639,
      "step": 1380
    },
    {
      "epoch": 0.08,
      "learning_rate": 0.00019569310310175997,
      "loss": 1.2115,
      "step": 1390
    },
    {
      "epoch": 0.08,
      "learning_rate": 0.00019588694205561647,
      "loss": 1.0515,
      "step": 1400
    },
    {
      "epoch": 0.08,
      "learning_rate": 0.00019607940136110065,
      "loss": 1.2054,
      "step": 1410
    },
    {
      "epoch": 0.08,
      "learning_rate": 0.000196270500518788,
      "loss": 1.1422,
      "step": 1420
    },
    {
      "epoch": 0.08,
      "learning_rate": 0.00019646025861870886,
      "loss": 1.1391,
      "step": 1430
    },
    {
      "epoch": 0.08,
      "learning_rate": 0.00019664869435179235,
      "loss": 1.2412,
      "step": 1440
    },
    {
      "epoch": 0.08,
      "learning_rate": 0.00019683582602091432,
      "loss": 1.1085,
      "step": 1450
    },
    {
      "epoch": 0.08,
      "learning_rate": 0.00019702167155156576,
      "loss": 1.2386,
      "step": 1460
    },
    {
      "epoch": 0.08,
      "learning_rate": 0.00019720624850215698,
      "loss": 1.1997,
      "step": 1470
    },
    {
      "epoch": 0.08,
      "learning_rate": 0.00019738957407397257,
      "loss": 1.1984,
      "step": 1480
    },
    {
      "epoch": 0.08,
      "learning_rate": 0.00019757166512079108,
      "loss": 1.2307,
      "step": 1490
    },
    {
      "epoch": 0.08,
      "learning_rate": 0.00019775253815818307,
      "loss": 1.1343,
      "step": 1500
    },
    {
      "epoch": 0.08,
      "learning_rate": 0.0001979322093725002,
      "loss": 1.2189,
      "step": 1510
    },
    {
      "epoch": 0.08,
      "learning_rate": 0.00019811069462956756,
      "loss": 1.1581,
      "step": 1520
    },
    {
      "epoch": 0.08,
      "learning_rate": 0.00019828800948309115,
      "loss": 1.1699,
      "step": 1530
    },
    {
      "epoch": 0.09,
      "learning_rate": 0.00019846416918279145,
      "loss": 1.2407,
      "step": 1540
    },
    {
      "epoch": 0.09,
      "learning_rate": 0.00019863918868227366,
      "loss": 1.0669,
      "step": 1550
    },
    {
      "epoch": 0.09,
      "learning_rate": 0.00019881308264664492,
      "loss": 1.2039,
      "step": 1560
    },
    {
      "epoch": 0.09,
      "learning_rate": 0.0001989858654598883,
      "loss": 1.1691,
      "step": 1570
    },
    {
      "epoch": 0.09,
      "learning_rate": 0.0001991575512320025,
      "loss": 1.1569,
      "step": 1580
    },
    {
      "epoch": 0.09,
      "learning_rate": 0.00019932815380591643,
      "loss": 1.2092,
      "step": 1590
    },
    {
      "epoch": 0.09,
      "learning_rate": 0.000199497686764187,
      "loss": 1.128,
      "step": 1600
    },
    {
      "epoch": 0.09,
      "learning_rate": 0.00019966616343548824,
      "loss": 1.2002,
      "step": 1610
    },
    {
      "epoch": 0.09,
      "learning_rate": 0.0001998335969008994,
      "loss": 1.0644,
      "step": 1620
    },
    {
      "epoch": 0.09,
      "learning_rate": 0.0002,
      "loss": 1.1275,
      "step": 1630
    },
    {
      "epoch": 0.09,
      "learning_rate": 0.0001999658307864614,
      "loss": 1.1783,
      "step": 1640
    },
    {
      "epoch": 0.09,
      "learning_rate": 0.00019992786499364073,
      "loss": 1.1262,
      "step": 1650
    },
    {
      "epoch": 0.09,
      "learning_rate": 0.00019988989920082006,
      "loss": 1.2625,
      "step": 1660
    },
    {
      "epoch": 0.09,
      "learning_rate": 0.00019985193340799938,
      "loss": 1.1807,
      "step": 1670
    },
    {
      "epoch": 0.09,
      "learning_rate": 0.00019981396761517873,
      "loss": 1.1256,
      "step": 1680
    },
    {
      "epoch": 0.09,
      "learning_rate": 0.00019977600182235808,
      "loss": 1.2082,
      "step": 1690
    },
    {
      "epoch": 0.09,
      "learning_rate": 0.0001997380360295374,
      "loss": 1.0813,
      "step": 1700
    },
    {
      "epoch": 0.09,
      "learning_rate": 0.00019970007023671673,
      "loss": 1.1981,
      "step": 1710
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.00019966210444389605,
      "loss": 1.1224,
      "step": 1720
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.00019962413865107537,
      "loss": 1.1375,
      "step": 1730
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.00019958617285825472,
      "loss": 1.1768,
      "step": 1740
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.00019954820706543405,
      "loss": 1.097,
      "step": 1750
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.00019951024127261337,
      "loss": 1.2163,
      "step": 1760
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.00019947227547979272,
      "loss": 1.1339,
      "step": 1770
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.00019943430968697205,
      "loss": 1.1616,
      "step": 1780
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.0001993963438941514,
      "loss": 1.2019,
      "step": 1790
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.00019935837810133072,
      "loss": 1.087,
      "step": 1800
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.00019932041230851004,
      "loss": 1.2352,
      "step": 1810
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.00019928244651568937,
      "loss": 1.1305,
      "step": 1820
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.0001992444807228687,
      "loss": 1.126,
      "step": 1830
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.00019920651493004804,
      "loss": 1.2041,
      "step": 1840
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.0001991685491372274,
      "loss": 1.0549,
      "step": 1850
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.00019913058334440671,
      "loss": 1.2373,
      "step": 1860
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.00019909261755158604,
      "loss": 1.1491,
      "step": 1870
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.00019905465175876536,
      "loss": 1.1715,
      "step": 1880
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.00019901668596594468,
      "loss": 1.2384,
      "step": 1890
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.00019897872017312404,
      "loss": 1.0732,
      "step": 1900
    },
    {
      "epoch": 0.11,
      "learning_rate": 0.00019894075438030336,
      "loss": 1.2436,
      "step": 1910
    },
    {
      "epoch": 0.11,
      "learning_rate": 0.00019890278858748268,
      "loss": 1.1645,
      "step": 1920
    },
    {
      "epoch": 0.11,
      "learning_rate": 0.000198864822794662,
      "loss": 1.123,
      "step": 1930
    },
    {
      "epoch": 0.11,
      "learning_rate": 0.00019882685700184136,
      "loss": 1.2387,
      "step": 1940
    },
    {
      "epoch": 0.11,
      "learning_rate": 0.00019878889120902068,
      "loss": 1.0858,
      "step": 1950
    },
    {
      "epoch": 0.11,
      "learning_rate": 0.00019875092541620003,
      "loss": 1.2401,
      "step": 1960
    },
    {
      "epoch": 0.11,
      "learning_rate": 0.00019871295962337935,
      "loss": 1.1272,
      "step": 1970
    },
    {
      "epoch": 0.11,
      "learning_rate": 0.00019867499383055868,
      "loss": 1.1403,
      "step": 1980
    },
    {
      "epoch": 0.11,
      "learning_rate": 0.000198637028037738,
      "loss": 1.157,
      "step": 1990
    },
    {
      "epoch": 0.11,
      "learning_rate": 0.00019859906224491732,
      "loss": 1.0744,
      "step": 2000
    },
    {
      "epoch": 0.11,
      "eval_loss": 1.1491358280181885,
      "eval_runtime": 1.9664,
      "eval_samples_per_second": 50.854,
      "eval_steps_per_second": 6.611,
      "step": 2000
    },
    {
      "epoch": 0.11,
      "mmlu_eval_accuracy": NaN,
      "mmlu_eval_accuracy_abstract_algebra": 0.5454545454545454,
      "mmlu_eval_accuracy_anatomy": 0.21428571428571427,
      "mmlu_eval_accuracy_astronomy": 0.125,
      "mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
      "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552,
      "mmlu_eval_accuracy_college_biology": 0.75,
      "mmlu_eval_accuracy_college_chemistry": 1.0,
      "mmlu_eval_accuracy_college_computer_science": 0.6363636363636364,
      "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
      "mmlu_eval_accuracy_college_medicine": 0.45454545454545453,
      "mmlu_eval_accuracy_college_physics": 0.45454545454545453,
      "mmlu_eval_accuracy_computer_security": 0.45454545454545453,
      "mmlu_eval_accuracy_conceptual_physics": 0.42857142857142855,
      "mmlu_eval_accuracy_econometrics": NaN,
      "mmlu_eval_accuracy_electrical_engineering": NaN,
      "mmlu_eval_accuracy_elementary_mathematics": NaN,
      "mmlu_eval_accuracy_formal_logic": NaN,
      "mmlu_eval_accuracy_global_facts": NaN,
      "mmlu_eval_accuracy_high_school_biology": NaN,
      "mmlu_eval_accuracy_high_school_chemistry": NaN,
      "mmlu_eval_accuracy_high_school_computer_science": NaN,
      "mmlu_eval_accuracy_high_school_european_history": NaN,
      "mmlu_eval_accuracy_high_school_geography": NaN,
      "mmlu_eval_accuracy_high_school_government_and_politics": NaN,
      "mmlu_eval_accuracy_high_school_macroeconomics": NaN,
      "mmlu_eval_accuracy_high_school_mathematics": NaN,
      "mmlu_eval_accuracy_high_school_microeconomics": NaN,
      "mmlu_eval_accuracy_high_school_physics": NaN,
      "mmlu_eval_accuracy_high_school_psychology": NaN,
      "mmlu_eval_accuracy_high_school_statistics": NaN,
      "mmlu_eval_accuracy_high_school_us_history": NaN,
      "mmlu_eval_accuracy_high_school_world_history": NaN,
      "mmlu_eval_accuracy_human_aging": NaN,
      "mmlu_eval_accuracy_human_sexuality": NaN,
      "mmlu_eval_accuracy_international_law": NaN,
      "mmlu_eval_accuracy_jurisprudence": NaN,
      "mmlu_eval_accuracy_logical_fallacies": NaN,
      "mmlu_eval_accuracy_machine_learning": NaN,
      "mmlu_eval_accuracy_management": NaN,
      "mmlu_eval_accuracy_marketing": NaN,
      "mmlu_eval_accuracy_medical_genetics": NaN,
      "mmlu_eval_accuracy_miscellaneous": NaN,
      "mmlu_eval_accuracy_moral_disputes": NaN,
      "mmlu_eval_accuracy_moral_scenarios": NaN,
      "mmlu_eval_accuracy_nutrition": NaN,
      "mmlu_eval_accuracy_philosophy": NaN,
      "mmlu_eval_accuracy_prehistory": NaN,
      "mmlu_eval_accuracy_professional_accounting": NaN,
      "mmlu_eval_accuracy_professional_law": NaN,
      "mmlu_eval_accuracy_professional_medicine": NaN,
      "mmlu_eval_accuracy_professional_psychology": NaN,
      "mmlu_eval_accuracy_public_relations": NaN,
      "mmlu_eval_accuracy_security_studies": NaN,
      "mmlu_eval_accuracy_sociology": NaN,
      "mmlu_eval_accuracy_us_foreign_policy": NaN,
      "mmlu_eval_accuracy_virology": NaN,
      "mmlu_eval_accuracy_world_religions": NaN,
      "mmlu_loss": 1.007582182297483,
      "step": 2000
    },
    {
      "epoch": 0.11,
      "learning_rate": 0.00019856109645209667,
      "loss": 1.2053,
      "step": 2010
    },
    {
      "epoch": 0.11,
      "learning_rate": 0.000198523130659276,
      "loss": 1.1405,
      "step": 2020
    },
    {
      "epoch": 0.11,
      "learning_rate": 0.00019848516486645535,
      "loss": 1.1468,
      "step": 2030
    },
    {
      "epoch": 0.11,
      "learning_rate": 0.00019844719907363467,
      "loss": 1.2189,
      "step": 2040
    },
    {
      "epoch": 0.11,
      "learning_rate": 0.000198409233280814,
      "loss": 1.0986,
      "step": 2050
    },
    {
      "epoch": 0.11,
      "learning_rate": 0.00019837126748799332,
      "loss": 1.1598,
      "step": 2060
    },
    {
      "epoch": 0.11,
      "learning_rate": 0.00019833330169517267,
      "loss": 1.1875,
      "step": 2070
    },
    {
      "epoch": 0.11,
      "learning_rate": 0.000198295335902352,
      "loss": 1.1328,
      "step": 2080
    },
    {
      "epoch": 0.12,
      "learning_rate": 0.00019825737010953132,
      "loss": 1.1765,
      "step": 2090
    },
    {
      "epoch": 0.12,
      "learning_rate": 0.00019821940431671064,
      "loss": 1.0558,
      "step": 2100
    },
    {
      "epoch": 0.12,
      "learning_rate": 0.00019818143852389,
      "loss": 1.2161,
      "step": 2110
    },
    {
      "epoch": 0.12,
      "learning_rate": 0.0001981434727310693,
      "loss": 1.149,
      "step": 2120
    },
    {
      "epoch": 0.12,
      "learning_rate": 0.00019810550693824866,
      "loss": 1.1905,
      "step": 2130
    },
    {
      "epoch": 0.12,
      "learning_rate": 0.000198067541145428,
      "loss": 1.2479,
      "step": 2140
    },
    {
      "epoch": 0.12,
      "learning_rate": 0.0001980295753526073,
      "loss": 1.076,
      "step": 2150
    },
    {
      "epoch": 0.12,
      "learning_rate": 0.00019799160955978663,
      "loss": 1.2602,
      "step": 2160
    },
    {
      "epoch": 0.12,
      "learning_rate": 0.00019795364376696596,
      "loss": 1.1454,
      "step": 2170
    },
    {
      "epoch": 0.12,
      "learning_rate": 0.0001979156779741453,
      "loss": 1.1334,
      "step": 2180
    },
    {
      "epoch": 0.12,
      "learning_rate": 0.00019787771218132463,
      "loss": 1.1795,
      "step": 2190
    },
    {
      "epoch": 0.12,
      "learning_rate": 0.00019783974638850398,
      "loss": 1.1137,
      "step": 2200
    },
    {
      "epoch": 0.12,
      "learning_rate": 0.0001978017805956833,
      "loss": 1.2005,
      "step": 2210
    },
    {
      "epoch": 0.12,
      "learning_rate": 0.00019776381480286263,
      "loss": 1.1376,
      "step": 2220
    },
    {
      "epoch": 0.12,
      "learning_rate": 0.00019772584901004195,
      "loss": 1.166,
      "step": 2230
    },
    {
      "epoch": 0.12,
      "learning_rate": 0.0001976878832172213,
      "loss": 1.192,
      "step": 2240
    },
    {
      "epoch": 0.12,
      "learning_rate": 0.00019764991742440063,
      "loss": 1.0876,
      "step": 2250
    },
    {
      "epoch": 0.12,
      "learning_rate": 0.00019761195163157995,
      "loss": 1.2518,
      "step": 2260
    },
    {
      "epoch": 0.13,
      "learning_rate": 0.00019757398583875927,
      "loss": 1.196,
      "step": 2270
    },
    {
      "epoch": 0.13,
      "learning_rate": 0.0001975360200459386,
      "loss": 1.2188,
      "step": 2280
    },
    {
      "epoch": 0.13,
      "learning_rate": 0.00019749805425311795,
      "loss": 1.2075,
      "step": 2290
    },
    {
      "epoch": 0.13,
      "learning_rate": 0.0001974600884602973,
      "loss": 1.0276,
      "step": 2300
    },
    {
      "epoch": 0.13,
      "learning_rate": 0.00019742212266747662,
      "loss": 1.227,
      "step": 2310
    },
    {
      "epoch": 0.13,
      "learning_rate": 0.00019738415687465594,
      "loss": 1.1681,
      "step": 2320
    },
    {
      "epoch": 0.13,
      "learning_rate": 0.00019734619108183527,
      "loss": 1.1402,
      "step": 2330
    },
    {
      "epoch": 0.13,
      "learning_rate": 0.0001973082252890146,
      "loss": 1.1977,
      "step": 2340
    },
    {
      "epoch": 0.13,
      "learning_rate": 0.00019727025949619394,
      "loss": 1.0541,
      "step": 2350
    },
    {
      "epoch": 0.13,
      "learning_rate": 0.00019723229370337327,
      "loss": 1.2152,
      "step": 2360
    },
    {
      "epoch": 0.13,
      "learning_rate": 0.00019719432791055262,
      "loss": 1.1588,
      "step": 2370
    },
    {
      "epoch": 0.13,
      "learning_rate": 0.00019715636211773194,
      "loss": 1.0637,
      "step": 2380
    },
    {
      "epoch": 0.13,
      "learning_rate": 0.00019711839632491126,
      "loss": 1.2027,
      "step": 2390
    },
    {
      "epoch": 0.13,
      "learning_rate": 0.0001970804305320906,
      "loss": 1.1089,
      "step": 2400
    },
    {
      "epoch": 0.13,
      "learning_rate": 0.00019704246473926994,
      "loss": 1.2193,
      "step": 2410
    },
    {
      "epoch": 0.13,
      "learning_rate": 0.00019700449894644926,
      "loss": 1.1809,
      "step": 2420
    },
    {
      "epoch": 0.13,
      "learning_rate": 0.00019696653315362858,
      "loss": 1.1154,
      "step": 2430
    },
    {
      "epoch": 0.13,
      "learning_rate": 0.0001969285673608079,
      "loss": 1.1509,
      "step": 2440
    },
    {
      "epoch": 0.14,
      "learning_rate": 0.00019689060156798723,
      "loss": 1.1225,
      "step": 2450
    },
    {
      "epoch": 0.14,
      "learning_rate": 0.00019685263577516658,
      "loss": 1.246,
      "step": 2460
    },
    {
      "epoch": 0.14,
      "learning_rate": 0.00019681466998234593,
      "loss": 1.1565,
      "step": 2470
    },
    {
      "epoch": 0.14,
      "learning_rate": 0.00019677670418952526,
      "loss": 1.1319,
      "step": 2480
    },
    {
      "epoch": 0.14,
      "learning_rate": 0.00019673873839670458,
      "loss": 1.1855,
      "step": 2490
    },
    {
      "epoch": 0.14,
      "learning_rate": 0.0001967007726038839,
      "loss": 1.142,
      "step": 2500
    },
    {
      "epoch": 0.14,
      "learning_rate": 0.00019666280681106323,
      "loss": 1.2383,
      "step": 2510
    },
    {
      "epoch": 0.14,
      "learning_rate": 0.00019662484101824258,
      "loss": 1.1175,
      "step": 2520
    },
    {
      "epoch": 0.14,
      "learning_rate": 0.0001965868752254219,
      "loss": 1.1014,
      "step": 2530
    },
    {
      "epoch": 0.14,
      "learning_rate": 0.00019654890943260122,
      "loss": 1.1959,
      "step": 2540
    },
    {
      "epoch": 0.14,
      "learning_rate": 0.00019651094363978057,
      "loss": 1.0617,
      "step": 2550
    },
    {
      "epoch": 0.14,
      "learning_rate": 0.0001964729778469599,
      "loss": 1.2567,
      "step": 2560
    },
    {
      "epoch": 0.14,
      "learning_rate": 0.00019643501205413922,
      "loss": 1.1222,
      "step": 2570
    },
    {
      "epoch": 0.14,
      "learning_rate": 0.00019639704626131857,
      "loss": 1.1147,
      "step": 2580
    },
    {
      "epoch": 0.14,
      "learning_rate": 0.0001963590804684979,
      "loss": 1.2296,
      "step": 2590
    },
    {
      "epoch": 0.14,
      "learning_rate": 0.00019632111467567722,
      "loss": 1.094,
      "step": 2600
    },
    {
      "epoch": 0.14,
      "learning_rate": 0.00019628314888285654,
      "loss": 1.1776,
      "step": 2610
    },
    {
      "epoch": 0.14,
      "learning_rate": 0.00019624518309003586,
      "loss": 1.1303,
      "step": 2620
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.00019620721729721524,
      "loss": 1.137,
      "step": 2630
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.00019616925150439457,
      "loss": 1.2335,
      "step": 2640
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.0001961312857115739,
      "loss": 1.0721,
      "step": 2650
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.0001960933199187532,
      "loss": 1.2737,
      "step": 2660
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.00019605535412593254,
      "loss": 1.0844,
      "step": 2670
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.0001960173883331119,
      "loss": 1.1289,
      "step": 2680
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.0001959794225402912,
      "loss": 1.1722,
      "step": 2690
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.00019594145674747053,
      "loss": 1.0891,
      "step": 2700
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.00019590349095464986,
      "loss": 1.2333,
      "step": 2710
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.0001958655251618292,
      "loss": 1.1545,
      "step": 2720
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.00019582755936900853,
      "loss": 1.1221,
      "step": 2730
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.00019578959357618788,
      "loss": 1.1968,
      "step": 2740
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.0001957516277833672,
      "loss": 1.159,
      "step": 2750
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.00019571366199054653,
      "loss": 1.2564,
      "step": 2760
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.00019567569619772585,
      "loss": 1.1335,
      "step": 2770
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.00019563773040490518,
      "loss": 1.1433,
      "step": 2780
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.00019559976461208453,
      "loss": 1.1722,
      "step": 2790
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.00019556179881926385,
      "loss": 1.0977,
      "step": 2800
    },
    {
      "epoch": 0.16,
      "learning_rate": 0.0001955238330264432,
      "loss": 1.2189,
      "step": 2810
    },
    {
      "epoch": 0.16,
      "learning_rate": 0.00019548586723362252,
      "loss": 1.1602,
      "step": 2820
    },
    {
      "epoch": 0.16,
      "learning_rate": 0.00019544790144080185,
      "loss": 1.147,
      "step": 2830
    },
    {
      "epoch": 0.16,
      "learning_rate": 0.00019540993564798117,
      "loss": 1.2212,
      "step": 2840
    },
    {
      "epoch": 0.16,
      "learning_rate": 0.00019537196985516052,
      "loss": 1.1267,
      "step": 2850
    },
    {
      "epoch": 0.16,
      "learning_rate": 0.00019533400406233984,
      "loss": 1.2403,
      "step": 2860
    },
    {
      "epoch": 0.16,
      "learning_rate": 0.00019529603826951917,
      "loss": 1.13,
      "step": 2870
    },
    {
      "epoch": 0.16,
      "learning_rate": 0.0001952580724766985,
      "loss": 1.1179,
      "step": 2880
    },
    {
      "epoch": 0.16,
      "learning_rate": 0.00019522010668387784,
      "loss": 1.1641,
      "step": 2890
    },
    {
      "epoch": 0.16,
      "learning_rate": 0.00019518214089105716,
      "loss": 1.0859,
      "step": 2900
    },
    {
      "epoch": 0.16,
      "learning_rate": 0.00019514417509823652,
      "loss": 1.267,
      "step": 2910
    },
    {
      "epoch": 0.16,
      "learning_rate": 0.00019510620930541584,
      "loss": 1.1309,
      "step": 2920
    },
    {
      "epoch": 0.16,
      "learning_rate": 0.00019506824351259516,
      "loss": 1.0973,
      "step": 2930
    },
    {
      "epoch": 0.16,
      "learning_rate": 0.00019503027771977449,
      "loss": 1.1753,
      "step": 2940
    },
    {
      "epoch": 0.16,
      "learning_rate": 0.0001949923119269538,
      "loss": 1.0664,
      "step": 2950
    },
    {
      "epoch": 0.16,
      "learning_rate": 0.00019495434613413316,
      "loss": 1.2195,
      "step": 2960
    },
    {
      "epoch": 0.16,
      "learning_rate": 0.00019491638034131248,
      "loss": 1.1501,
      "step": 2970
    },
    {
      "epoch": 0.16,
      "learning_rate": 0.00019487841454849183,
      "loss": 1.1266,
      "step": 2980
    },
    {
      "epoch": 0.17,
      "learning_rate": 0.00019484044875567116,
      "loss": 1.1611,
      "step": 2990
    },
    {
      "epoch": 0.17,
      "learning_rate": 0.00019480248296285048,
      "loss": 1.0625,
      "step": 3000
    },
    {
      "epoch": 0.17,
      "learning_rate": 0.0001947645171700298,
      "loss": 1.2264,
      "step": 3010
    },
    {
      "epoch": 0.17,
      "learning_rate": 0.00019472655137720915,
      "loss": 1.1014,
      "step": 3020
    },
    {
      "epoch": 0.17,
      "learning_rate": 0.00019468858558438848,
      "loss": 1.1016,
      "step": 3030
    },
    {
      "epoch": 0.17,
      "learning_rate": 0.0001946506197915678,
      "loss": 1.2034,
      "step": 3040
    },
    {
      "epoch": 0.17,
      "learning_rate": 0.00019461265399874712,
      "loss": 1.0768,
      "step": 3050
    },
    {
      "epoch": 0.17,
      "learning_rate": 0.00019457468820592645,
      "loss": 1.1682,
      "step": 3060
    },
    {
      "epoch": 0.17,
      "learning_rate": 0.0001945367224131058,
      "loss": 1.1381,
      "step": 3070
    },
    {
      "epoch": 0.17,
      "learning_rate": 0.00019449875662028515,
      "loss": 1.1447,
      "step": 3080
    },
    {
      "epoch": 0.17,
      "learning_rate": 0.00019446079082746447,
      "loss": 1.2159,
      "step": 3090
    },
    {
      "epoch": 0.17,
      "learning_rate": 0.0001944228250346438,
      "loss": 1.0857,
      "step": 3100
    },
    {
      "epoch": 0.17,
      "learning_rate": 0.00019438485924182312,
      "loss": 1.2315,
      "step": 3110
    },
    {
      "epoch": 0.17,
      "learning_rate": 0.00019434689344900244,
      "loss": 1.1214,
      "step": 3120
    },
    {
      "epoch": 0.17,
      "learning_rate": 0.0001943089276561818,
      "loss": 1.1003,
      "step": 3130
    },
    {
      "epoch": 0.17,
      "learning_rate": 0.00019427096186336112,
      "loss": 1.2121,
      "step": 3140
    },
    {
      "epoch": 0.17,
      "learning_rate": 0.00019423299607054047,
      "loss": 1.0662,
      "step": 3150
    },
    {
      "epoch": 0.17,
      "learning_rate": 0.0001941950302777198,
      "loss": 1.2078,
      "step": 3160
    },
    {
      "epoch": 0.18,
      "learning_rate": 0.00019415706448489911,
      "loss": 1.1218,
      "step": 3170
    },
    {
      "epoch": 0.18,
      "learning_rate": 0.00019411909869207844,
      "loss": 1.136,
      "step": 3180
    },
    {
      "epoch": 0.18,
      "learning_rate": 0.0001940811328992578,
      "loss": 1.1991,
      "step": 3190
    },
    {
      "epoch": 0.18,
      "learning_rate": 0.0001940431671064371,
      "loss": 1.0649,
      "step": 3200
    },
    {
      "epoch": 0.18,
      "learning_rate": 0.00019400520131361644,
      "loss": 1.2392,
      "step": 3210
    },
    {
      "epoch": 0.18,
      "learning_rate": 0.00019396723552079576,
      "loss": 1.118,
      "step": 3220
    },
    {
      "epoch": 0.18,
      "learning_rate": 0.00019392926972797508,
      "loss": 1.1365,
      "step": 3230
    },
    {
      "epoch": 0.18,
      "learning_rate": 0.00019389130393515443,
      "loss": 1.1871,
      "step": 3240
    },
    {
      "epoch": 0.18,
      "learning_rate": 0.00019385333814233378,
      "loss": 1.0481,
      "step": 3250
    },
    {
      "epoch": 0.18,
      "learning_rate": 0.0001938153723495131,
      "loss": 1.2319,
      "step": 3260
    },
    {
      "epoch": 0.18,
      "learning_rate": 0.00019377740655669243,
      "loss": 1.1525,
      "step": 3270
    },
    {
      "epoch": 0.18,
      "learning_rate": 0.00019373944076387175,
      "loss": 1.1213,
      "step": 3280
    },
    {
      "epoch": 0.18,
      "learning_rate": 0.00019370147497105108,
      "loss": 1.1762,
      "step": 3290
    },
    {
      "epoch": 0.18,
      "learning_rate": 0.00019366350917823043,
      "loss": 1.0419,
      "step": 3300
    },
    {
      "epoch": 0.18,
      "learning_rate": 0.00019362554338540975,
      "loss": 1.2288,
      "step": 3310
    },
    {
      "epoch": 0.18,
      "learning_rate": 0.00019358757759258907,
      "loss": 1.1777,
      "step": 3320
    },
    {
      "epoch": 0.18,
      "learning_rate": 0.00019354961179976843,
      "loss": 1.1398,
      "step": 3330
    },
    {
      "epoch": 0.18,
      "learning_rate": 0.00019351164600694775,
      "loss": 1.1758,
      "step": 3340
    },
    {
      "epoch": 0.19,
      "learning_rate": 0.00019347368021412707,
      "loss": 1.0846,
      "step": 3350
    },
    {
      "epoch": 0.19,
      "learning_rate": 0.00019343571442130642,
      "loss": 1.2201,
      "step": 3360
    },
    {
      "epoch": 0.19,
      "learning_rate": 0.00019339774862848575,
      "loss": 1.1009,
      "step": 3370
    },
    {
      "epoch": 0.19,
      "learning_rate": 0.00019335978283566507,
      "loss": 1.1371,
      "step": 3380
    },
    {
      "epoch": 0.19,
      "learning_rate": 0.0001933218170428444,
      "loss": 1.204,
      "step": 3390
    },
    {
      "epoch": 0.19,
      "learning_rate": 0.00019328385125002372,
      "loss": 1.0918,
      "step": 3400
    },
    {
      "epoch": 0.19,
      "learning_rate": 0.00019324588545720307,
      "loss": 1.19,
      "step": 3410
    },
    {
      "epoch": 0.19,
      "learning_rate": 0.00019320791966438242,
      "loss": 1.1501,
      "step": 3420
    },
    {
      "epoch": 0.19,
      "learning_rate": 0.00019316995387156174,
      "loss": 1.1232,
      "step": 3430
    },
    {
      "epoch": 0.19,
      "learning_rate": 0.00019313198807874106,
      "loss": 1.2088,
      "step": 3440
    },
    {
      "epoch": 0.19,
      "learning_rate": 0.0001930940222859204,
      "loss": 1.0601,
      "step": 3450
    },
    {
      "epoch": 0.19,
      "learning_rate": 0.0001930560564930997,
      "loss": 1.2256,
      "step": 3460
    },
    {
      "epoch": 0.19,
      "learning_rate": 0.00019301809070027906,
      "loss": 1.0896,
      "step": 3470
    },
    {
      "epoch": 0.19,
      "learning_rate": 0.00019298012490745839,
      "loss": 1.1774,
      "step": 3480
    },
    {
      "epoch": 0.19,
      "learning_rate": 0.0001929421591146377,
      "loss": 1.1691,
      "step": 3490
    },
    {
      "epoch": 0.19,
      "learning_rate": 0.00019290419332181706,
      "loss": 1.052,
      "step": 3500
    },
    {
      "epoch": 0.19,
      "learning_rate": 0.00019286622752899638,
      "loss": 1.2578,
      "step": 3510
    },
    {
      "epoch": 0.19,
      "learning_rate": 0.0001928282617361757,
      "loss": 1.14,
      "step": 3520
    },
    {
      "epoch": 0.19,
      "learning_rate": 0.00019279029594335506,
      "loss": 1.1038,
      "step": 3530
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.00019275233015053438,
      "loss": 1.2139,
      "step": 3540
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.0001927143643577137,
      "loss": 1.0836,
      "step": 3550
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.00019267639856489303,
      "loss": 1.2205,
      "step": 3560
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.00019263843277207235,
      "loss": 1.1611,
      "step": 3570
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.0001926004669792517,
      "loss": 1.1044,
      "step": 3580
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.00019256250118643105,
      "loss": 1.176,
      "step": 3590
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.00019252453539361037,
      "loss": 1.088,
      "step": 3600
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.0001924865696007897,
      "loss": 1.2273,
      "step": 3610
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.00019244860380796902,
      "loss": 1.1066,
      "step": 3620
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.00019241063801514837,
      "loss": 1.1157,
      "step": 3630
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.0001923726722223277,
      "loss": 1.1903,
      "step": 3640
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.00019233470642950702,
      "loss": 1.0617,
      "step": 3650
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.00019229674063668634,
      "loss": 1.2024,
      "step": 3660
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.0001922587748438657,
      "loss": 1.1173,
      "step": 3670
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.00019222080905104502,
      "loss": 1.1281,
      "step": 3680
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.00019218284325822437,
      "loss": 1.1616,
      "step": 3690
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.0001921448774654037,
      "loss": 1.1023,
      "step": 3700
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.00019210691167258301,
      "loss": 1.2164,
      "step": 3710
    },
    {
      "epoch": 0.21,
      "learning_rate": 0.00019206894587976234,
      "loss": 1.1053,
      "step": 3720
    },
    {
      "epoch": 0.21,
      "learning_rate": 0.00019203098008694166,
      "loss": 1.172,
      "step": 3730
    },
    {
      "epoch": 0.21,
      "learning_rate": 0.000191993014294121,
      "loss": 1.1863,
      "step": 3740
    },
    {
      "epoch": 0.21,
      "learning_rate": 0.00019195504850130033,
      "loss": 1.0662,
      "step": 3750
    },
    {
      "epoch": 0.21,
      "learning_rate": 0.00019191708270847969,
      "loss": 1.2229,
      "step": 3760
    },
    {
      "epoch": 0.21,
      "learning_rate": 0.000191879116915659,
      "loss": 1.1553,
      "step": 3770
    },
    {
      "epoch": 0.21,
      "learning_rate": 0.00019184115112283833,
      "loss": 1.1146,
      "step": 3780
    },
    {
      "epoch": 0.21,
      "learning_rate": 0.00019180318533001766,
      "loss": 1.1671,
      "step": 3790
    },
    {
      "epoch": 0.21,
      "learning_rate": 0.000191765219537197,
      "loss": 1.139,
      "step": 3800
    },
    {
      "epoch": 0.21,
      "learning_rate": 0.00019172725374437633,
      "loss": 1.213,
      "step": 3810
    },
    {
      "epoch": 0.21,
      "learning_rate": 0.00019168928795155565,
      "loss": 1.103,
      "step": 3820
    },
    {
      "epoch": 0.21,
      "learning_rate": 0.00019165132215873498,
      "loss": 1.144,
      "step": 3830
    },
    {
      "epoch": 0.21,
      "learning_rate": 0.0001916133563659143,
      "loss": 1.1856,
      "step": 3840
    },
    {
      "epoch": 0.21,
      "learning_rate": 0.00019157539057309365,
      "loss": 1.0548,
      "step": 3850
    },
    {
      "epoch": 0.21,
      "learning_rate": 0.000191537424780273,
      "loss": 1.2376,
      "step": 3860
    },
    {
      "epoch": 0.21,
      "learning_rate": 0.00019149945898745232,
      "loss": 1.1467,
      "step": 3870
    },
    {
      "epoch": 0.21,
      "learning_rate": 0.00019146149319463165,
      "loss": 1.1517,
      "step": 3880
    },
    {
      "epoch": 0.21,
      "learning_rate": 0.00019142352740181097,
      "loss": 1.1989,
      "step": 3890
    },
    {
      "epoch": 0.22,
      "learning_rate": 0.0001913855616089903,
      "loss": 1.0422,
      "step": 3900
    },
    {
      "epoch": 0.22,
      "learning_rate": 0.00019134759581616965,
      "loss": 1.2195,
      "step": 3910
    },
    {
      "epoch": 0.22,
      "learning_rate": 0.00019130963002334897,
      "loss": 1.1608,
      "step": 3920
    },
    {
      "epoch": 0.22,
      "learning_rate": 0.00019127166423052832,
      "loss": 1.1162,
      "step": 3930
    },
    {
      "epoch": 0.22,
      "learning_rate": 0.00019123369843770764,
      "loss": 1.1381,
      "step": 3940
    },
    {
      "epoch": 0.22,
      "learning_rate": 0.00019119573264488697,
      "loss": 1.063,
      "step": 3950
    },
    {
      "epoch": 0.22,
      "learning_rate": 0.0001911577668520663,
      "loss": 1.2331,
      "step": 3960
    },
    {
      "epoch": 0.22,
      "learning_rate": 0.00019111980105924564,
      "loss": 1.1366,
      "step": 3970
    },
    {
      "epoch": 0.22,
      "learning_rate": 0.00019108183526642496,
      "loss": 1.1444,
      "step": 3980
    },
    {
      "epoch": 0.22,
      "learning_rate": 0.0001910438694736043,
      "loss": 1.1837,
      "step": 3990
    },
    {
      "epoch": 0.22,
      "learning_rate": 0.0001910059036807836,
      "loss": 1.0373,
      "step": 4000
    },
    {
      "epoch": 0.22,
      "eval_loss": 1.110398769378662,
      "eval_runtime": 1.9777,
      "eval_samples_per_second": 50.563,
      "eval_steps_per_second": 6.573,
      "step": 4000
    },
    {
      "epoch": 0.22,
      "mmlu_eval_accuracy": NaN,
      "mmlu_eval_accuracy_abstract_algebra": 0.5454545454545454,
      "mmlu_eval_accuracy_anatomy": 0.2857142857142857,
      "mmlu_eval_accuracy_astronomy": 0.125,
      "mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
      "mmlu_eval_accuracy_clinical_knowledge": 0.41379310344827586,
      "mmlu_eval_accuracy_college_biology": 0.75,
      "mmlu_eval_accuracy_college_chemistry": 1.0,
      "mmlu_eval_accuracy_college_computer_science": 0.6363636363636364,
      "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
      "mmlu_eval_accuracy_college_medicine": 0.45454545454545453,
      "mmlu_eval_accuracy_college_physics": 0.5454545454545454,
      "mmlu_eval_accuracy_computer_security": 0.5454545454545454,
      "mmlu_eval_accuracy_conceptual_physics": 0.42857142857142855,
      "mmlu_eval_accuracy_econometrics": NaN,
      "mmlu_eval_accuracy_electrical_engineering": NaN,
      "mmlu_eval_accuracy_elementary_mathematics": NaN,
      "mmlu_eval_accuracy_formal_logic": NaN,
      "mmlu_eval_accuracy_global_facts": NaN,
      "mmlu_eval_accuracy_high_school_biology": NaN,
      "mmlu_eval_accuracy_high_school_chemistry": NaN,
      "mmlu_eval_accuracy_high_school_computer_science": NaN,
      "mmlu_eval_accuracy_high_school_european_history": NaN,
      "mmlu_eval_accuracy_high_school_geography": NaN,
      "mmlu_eval_accuracy_high_school_government_and_politics": NaN,
      "mmlu_eval_accuracy_high_school_macroeconomics": NaN,
      "mmlu_eval_accuracy_high_school_mathematics": NaN,
      "mmlu_eval_accuracy_high_school_microeconomics": NaN,
      "mmlu_eval_accuracy_high_school_physics": NaN,
      "mmlu_eval_accuracy_high_school_psychology": NaN,
      "mmlu_eval_accuracy_high_school_statistics": NaN,
      "mmlu_eval_accuracy_high_school_us_history": NaN,
      "mmlu_eval_accuracy_high_school_world_history": NaN,
      "mmlu_eval_accuracy_human_aging": NaN,
      "mmlu_eval_accuracy_human_sexuality": NaN,
      "mmlu_eval_accuracy_international_law": NaN,
      "mmlu_eval_accuracy_jurisprudence": NaN,
      "mmlu_eval_accuracy_logical_fallacies": NaN,
      "mmlu_eval_accuracy_machine_learning": NaN,
      "mmlu_eval_accuracy_management": NaN,
      "mmlu_eval_accuracy_marketing": NaN,
      "mmlu_eval_accuracy_medical_genetics": NaN,
      "mmlu_eval_accuracy_miscellaneous": NaN,
      "mmlu_eval_accuracy_moral_disputes": NaN,
      "mmlu_eval_accuracy_moral_scenarios": NaN,
      "mmlu_eval_accuracy_nutrition": NaN,
      "mmlu_eval_accuracy_philosophy": NaN,
      "mmlu_eval_accuracy_prehistory": NaN,
      "mmlu_eval_accuracy_professional_accounting": NaN,
      "mmlu_eval_accuracy_professional_law": NaN,
      "mmlu_eval_accuracy_professional_medicine": NaN,
      "mmlu_eval_accuracy_professional_psychology": NaN,
      "mmlu_eval_accuracy_public_relations": NaN,
      "mmlu_eval_accuracy_security_studies": NaN,
      "mmlu_eval_accuracy_sociology": NaN,
      "mmlu_eval_accuracy_us_foreign_policy": NaN,
      "mmlu_eval_accuracy_virology": NaN,
      "mmlu_eval_accuracy_world_religions": NaN,
      "mmlu_loss": 1.2074859381342928,
      "step": 4000
    },
    {
      "epoch": 0.22,
      "learning_rate": 0.00019096793788796293,
      "loss": 1.2292,
      "step": 4010
    },
    {
      "epoch": 0.22,
      "learning_rate": 0.00019092997209514228,
      "loss": 1.085,
      "step": 4020
    },
    {
      "epoch": 0.22,
      "learning_rate": 0.00019089200630232164,
      "loss": 1.1231,
      "step": 4030
    },
    {
      "epoch": 0.22,
      "learning_rate": 0.00019085404050950096,
      "loss": 1.2231,
      "step": 4040
    },
    {
      "epoch": 0.22,
      "learning_rate": 0.00019081607471668028,
      "loss": 1.0526,
      "step": 4050
    },
    {
      "epoch": 0.22,
      "learning_rate": 0.0001907781089238596,
      "loss": 1.2899,
      "step": 4060
    },
    {
      "epoch": 0.22,
      "learning_rate": 0.00019074014313103893,
      "loss": 1.1367,
      "step": 4070
    },
    {
      "epoch": 0.23,
      "learning_rate": 0.00019070217733821828,
      "loss": 1.1275,
      "step": 4080
    },
    {
      "epoch": 0.23,
      "learning_rate": 0.0001906642115453976,
      "loss": 1.2279,
      "step": 4090
    },
    {
      "epoch": 0.23,
      "learning_rate": 0.00019062624575257693,
      "loss": 1.0699,
      "step": 4100
    },
    {
      "epoch": 0.23,
      "learning_rate": 0.00019058827995975628,
      "loss": 1.1987,
      "step": 4110
    },
    {
      "epoch": 0.23,
      "learning_rate": 0.0001905503141669356,
      "loss": 1.1191,
      "step": 4120
    },
    {
      "epoch": 0.23,
      "learning_rate": 0.00019051234837411492,
      "loss": 1.1265,
      "step": 4130
    },
    {
      "epoch": 0.23,
      "learning_rate": 0.00019047438258129427,
      "loss": 1.1401,
      "step": 4140
    },
    {
      "epoch": 0.23,
      "learning_rate": 0.0001904364167884736,
      "loss": 1.0537,
      "step": 4150
    },
    {
      "epoch": 0.23,
      "learning_rate": 0.00019039845099565292,
      "loss": 1.1899,
      "step": 4160
    },
    {
      "epoch": 0.23,
      "learning_rate": 0.00019036048520283224,
      "loss": 1.1534,
      "step": 4170
    },
    {
      "epoch": 0.23,
      "learning_rate": 0.00019032251941001157,
      "loss": 1.1586,
      "step": 4180
    },
    {
      "epoch": 0.23,
      "learning_rate": 0.00019028455361719092,
      "loss": 1.1836,
      "step": 4190
    },
    {
      "epoch": 0.23,
      "learning_rate": 0.00019024658782437027,
      "loss": 1.0386,
      "step": 4200
    },
    {
      "epoch": 0.23,
      "learning_rate": 0.0001902086220315496,
      "loss": 1.2267,
      "step": 4210
    },
    {
      "epoch": 0.23,
      "learning_rate": 0.00019017065623872892,
      "loss": 1.1185,
      "step": 4220
    },
    {
      "epoch": 0.23,
      "learning_rate": 0.00019013269044590824,
      "loss": 1.1282,
      "step": 4230
    },
    {
      "epoch": 0.23,
      "learning_rate": 0.00019009472465308756,
      "loss": 1.1845,
      "step": 4240
    },
    {
      "epoch": 0.23,
      "learning_rate": 0.0001900567588602669,
      "loss": 1.0246,
      "step": 4250
    },
    {
      "epoch": 0.24,
      "learning_rate": 0.00019001879306744624,
      "loss": 1.2289,
      "step": 4260
    },
    {
      "epoch": 0.24,
      "learning_rate": 0.00018998082727462556,
      "loss": 1.1126,
      "step": 4270
    },
    {
      "epoch": 0.24,
      "learning_rate": 0.0001899428614818049,
      "loss": 1.1857,
      "step": 4280
    },
    {
      "epoch": 0.24,
      "learning_rate": 0.00018990489568898423,
      "loss": 1.1578,
      "step": 4290
    },
    {
      "epoch": 0.24,
      "learning_rate": 0.00018986692989616356,
      "loss": 1.0807,
      "step": 4300
    },
    {
      "epoch": 0.24,
      "learning_rate": 0.0001898289641033429,
      "loss": 1.1825,
      "step": 4310
    },
    {
      "epoch": 0.24,
      "learning_rate": 0.00018979099831052223,
      "loss": 1.1619,
      "step": 4320
    },
    {
      "epoch": 0.24,
      "learning_rate": 0.00018975303251770156,
      "loss": 1.0785,
      "step": 4330
    },
    {
      "epoch": 0.24,
      "learning_rate": 0.00018971506672488088,
      "loss": 1.1788,
      "step": 4340
    },
    {
      "epoch": 0.24,
      "learning_rate": 0.0001896771009320602,
      "loss": 1.0419,
      "step": 4350
    },
    {
      "epoch": 0.24,
      "learning_rate": 0.00018963913513923955,
      "loss": 1.1988,
      "step": 4360
    },
    {
      "epoch": 0.24,
      "learning_rate": 0.0001896011693464189,
      "loss": 1.0989,
      "step": 4370
    },
    {
      "epoch": 0.24,
      "learning_rate": 0.00018956320355359823,
      "loss": 1.103,
      "step": 4380
    },
    {
      "epoch": 0.24,
      "learning_rate": 0.00018952523776077755,
      "loss": 1.2271,
      "step": 4390
    },
    {
      "epoch": 0.24,
      "learning_rate": 0.00018948727196795687,
      "loss": 1.0848,
      "step": 4400
    },
    {
      "epoch": 0.24,
      "learning_rate": 0.0001894493061751362,
      "loss": 1.244,
      "step": 4410
    },
    {
      "epoch": 0.24,
      "learning_rate": 0.00018941134038231555,
      "loss": 1.1194,
      "step": 4420
    },
    {
      "epoch": 0.24,
      "learning_rate": 0.00018937337458949487,
      "loss": 1.1216,
      "step": 4430
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.0001893354087966742,
      "loss": 1.2267,
      "step": 4440
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.00018929744300385354,
      "loss": 1.0305,
      "step": 4450
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.00018925947721103287,
      "loss": 1.2269,
      "step": 4460
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.0001892215114182122,
      "loss": 1.0973,
      "step": 4470
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.00018918354562539154,
      "loss": 1.1478,
      "step": 4480
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.00018914557983257087,
      "loss": 1.1812,
      "step": 4490
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.0001891076140397502,
      "loss": 1.071,
      "step": 4500
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.0001890696482469295,
      "loss": 1.2323,
      "step": 4510
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.00018903168245410884,
      "loss": 1.1268,
      "step": 4520
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.0001889937166612882,
      "loss": 1.1018,
      "step": 4530
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.00018895575086846754,
      "loss": 1.2016,
      "step": 4540
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.00018891778507564686,
      "loss": 1.083,
      "step": 4550
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.00018887981928282618,
      "loss": 1.2251,
      "step": 4560
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.0001888418534900055,
      "loss": 1.1421,
      "step": 4570
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.00018880388769718486,
      "loss": 1.1455,
      "step": 4580
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.00018876592190436418,
      "loss": 1.1418,
      "step": 4590
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.0001887279561115435,
      "loss": 1.0783,
      "step": 4600
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.00018868999031872283,
      "loss": 1.187,
      "step": 4610
    },
    {
      "epoch": 0.26,
      "learning_rate": 0.00018865202452590215,
      "loss": 1.1095,
      "step": 4620
    },
    {
      "epoch": 0.26,
      "learning_rate": 0.0001886140587330815,
      "loss": 1.1307,
      "step": 4630
    },
    {
      "epoch": 0.26,
      "learning_rate": 0.00018857609294026085,
      "loss": 1.1626,
      "step": 4640
    },
    {
      "epoch": 0.26,
      "learning_rate": 0.00018853812714744018,
      "loss": 1.0711,
      "step": 4650
    },
    {
      "epoch": 0.26,
      "learning_rate": 0.0001885001613546195,
      "loss": 1.1894,
      "step": 4660
    },
    {
      "epoch": 0.26,
      "learning_rate": 0.00018846219556179882,
      "loss": 1.1372,
      "step": 4670
    },
    {
      "epoch": 0.26,
      "learning_rate": 0.00018842422976897815,
      "loss": 1.1343,
      "step": 4680
    },
    {
      "epoch": 0.26,
      "learning_rate": 0.0001883862639761575,
      "loss": 1.1851,
      "step": 4690
    },
    {
      "epoch": 0.26,
      "learning_rate": 0.00018834829818333682,
      "loss": 1.0585,
      "step": 4700
    },
    {
      "epoch": 0.26,
      "learning_rate": 0.00018831033239051617,
      "loss": 1.1874,
      "step": 4710
    },
    {
      "epoch": 0.26,
      "learning_rate": 0.0001882723665976955,
      "loss": 1.1464,
      "step": 4720
    },
    {
      "epoch": 0.26,
      "learning_rate": 0.00018823440080487482,
      "loss": 1.1317,
      "step": 4730
    },
    {
      "epoch": 0.26,
      "learning_rate": 0.00018819643501205414,
      "loss": 1.2306,
      "step": 4740
    },
    {
      "epoch": 0.26,
      "learning_rate": 0.0001881584692192335,
      "loss": 1.0564,
      "step": 4750
    },
    {
      "epoch": 0.26,
      "learning_rate": 0.00018812050342641282,
      "loss": 1.209,
      "step": 4760
    },
    {
      "epoch": 0.26,
      "learning_rate": 0.00018808253763359214,
      "loss": 1.1539,
      "step": 4770
    },
    {
      "epoch": 0.26,
      "learning_rate": 0.00018804457184077146,
      "loss": 1.1303,
      "step": 4780
    },
    {
      "epoch": 0.26,
      "learning_rate": 0.00018800660604795079,
      "loss": 1.2107,
      "step": 4790
    },
    {
      "epoch": 0.27,
      "learning_rate": 0.00018796864025513014,
      "loss": 1.0294,
      "step": 4800
    },
    {
      "epoch": 0.27,
      "learning_rate": 0.0001879306744623095,
      "loss": 1.234,
      "step": 4810
    },
    {
      "epoch": 0.27,
      "learning_rate": 0.0001878927086694888,
      "loss": 1.1464,
      "step": 4820
    },
    {
      "epoch": 0.27,
      "learning_rate": 0.00018785474287666813,
      "loss": 1.107,
      "step": 4830
    },
    {
      "epoch": 0.27,
      "learning_rate": 0.00018781677708384746,
      "loss": 1.1833,
      "step": 4840
    },
    {
      "epoch": 0.27,
      "learning_rate": 0.00018777881129102678,
      "loss": 1.0265,
      "step": 4850
    },
    {
      "epoch": 0.27,
      "learning_rate": 0.00018774084549820613,
      "loss": 1.2075,
      "step": 4860
    },
    {
      "epoch": 0.27,
      "learning_rate": 0.00018770287970538545,
      "loss": 1.1351,
      "step": 4870
    },
    {
      "epoch": 0.27,
      "learning_rate": 0.00018766491391256478,
      "loss": 1.1321,
      "step": 4880
    },
    {
      "epoch": 0.27,
      "learning_rate": 0.00018762694811974413,
      "loss": 1.1653,
      "step": 4890
    },
    {
      "epoch": 0.27,
      "learning_rate": 0.00018758898232692345,
      "loss": 1.0572,
      "step": 4900
    },
    {
      "epoch": 0.27,
      "learning_rate": 0.00018755101653410278,
      "loss": 1.2171,
      "step": 4910
    },
    {
      "epoch": 0.27,
      "learning_rate": 0.00018751305074128213,
      "loss": 1.098,
      "step": 4920
    },
    {
      "epoch": 0.27,
      "learning_rate": 0.00018747508494846145,
      "loss": 1.1458,
      "step": 4930
    },
    {
      "epoch": 0.27,
      "learning_rate": 0.00018743711915564077,
      "loss": 1.1418,
      "step": 4940
    },
    {
      "epoch": 0.27,
      "learning_rate": 0.0001873991533628201,
      "loss": 1.0089,
      "step": 4950
    },
    {
      "epoch": 0.27,
      "learning_rate": 0.00018736118756999942,
      "loss": 1.1623,
      "step": 4960
    },
    {
      "epoch": 0.27,
      "learning_rate": 0.00018732322177717877,
      "loss": 1.1495,
      "step": 4970
    },
    {
      "epoch": 0.28,
      "learning_rate": 0.00018728525598435812,
      "loss": 1.1035,
      "step": 4980
    },
    {
      "epoch": 0.28,
      "learning_rate": 0.00018724729019153744,
      "loss": 1.161,
      "step": 4990
    },
    {
      "epoch": 0.28,
      "learning_rate": 0.00018720932439871677,
      "loss": 1.0411,
      "step": 5000
    },
    {
      "epoch": 0.28,
      "learning_rate": 0.0001871713586058961,
      "loss": 1.2324,
      "step": 5010
    },
    {
      "epoch": 0.28,
      "learning_rate": 0.00018713339281307541,
      "loss": 1.1385,
      "step": 5020
    },
    {
      "epoch": 0.28,
      "learning_rate": 0.00018709542702025477,
      "loss": 1.1043,
      "step": 5030
    },
    {
      "epoch": 0.28,
      "learning_rate": 0.0001870574612274341,
      "loss": 1.181,
      "step": 5040
    },
    {
      "epoch": 0.28,
      "learning_rate": 0.0001870194954346134,
      "loss": 1.0469,
      "step": 5050
    },
    {
      "epoch": 0.28,
      "learning_rate": 0.00018698152964179276,
      "loss": 1.2059,
      "step": 5060
    },
    {
      "epoch": 0.28,
      "learning_rate": 0.00018694356384897209,
      "loss": 1.1162,
      "step": 5070
    },
    {
      "epoch": 0.28,
      "learning_rate": 0.0001869055980561514,
      "loss": 1.1082,
      "step": 5080
    },
    {
      "epoch": 0.28,
      "learning_rate": 0.00018686763226333076,
      "loss": 1.1686,
      "step": 5090
    },
    {
      "epoch": 0.28,
      "learning_rate": 0.00018682966647051008,
      "loss": 1.0448,
      "step": 5100
    },
    {
      "epoch": 0.28,
      "learning_rate": 0.0001867917006776894,
      "loss": 1.1741,
      "step": 5110
    },
    {
      "epoch": 0.28,
      "learning_rate": 0.00018675373488486873,
      "loss": 1.0716,
      "step": 5120
    },
    {
      "epoch": 0.28,
      "learning_rate": 0.00018671576909204805,
      "loss": 1.1176,
      "step": 5130
    },
    {
      "epoch": 0.28,
      "learning_rate": 0.0001866778032992274,
      "loss": 1.1733,
      "step": 5140
    },
    {
      "epoch": 0.28,
      "learning_rate": 0.00018663983750640675,
      "loss": 1.0743,
      "step": 5150
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.00018660187171358608,
      "loss": 1.2193,
      "step": 5160
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.0001865639059207654,
      "loss": 1.1102,
      "step": 5170
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.00018652594012794473,
      "loss": 1.121,
      "step": 5180
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.00018648797433512405,
      "loss": 1.1776,
      "step": 5190
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.0001864500085423034,
      "loss": 1.0163,
      "step": 5200
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.00018641204274948272,
      "loss": 1.2541,
      "step": 5210
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.00018637407695666205,
      "loss": 1.0853,
      "step": 5220
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.0001863361111638414,
      "loss": 1.1733,
      "step": 5230
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.00018629814537102072,
      "loss": 1.2336,
      "step": 5240
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.00018626017957820004,
      "loss": 1.0562,
      "step": 5250
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.0001862222137853794,
      "loss": 1.2348,
      "step": 5260
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.00018618424799255872,
      "loss": 1.1489,
      "step": 5270
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.00018614628219973804,
      "loss": 1.15,
      "step": 5280
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.00018610831640691736,
      "loss": 1.1572,
      "step": 5290
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.0001860703506140967,
      "loss": 1.0913,
      "step": 5300
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.00018603238482127604,
      "loss": 1.1969,
      "step": 5310
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.0001859944190284554,
      "loss": 1.0944,
      "step": 5320
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.0001859564532356347,
      "loss": 1.1065,
      "step": 5330
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.00018591848744281404,
      "loss": 1.1457,
      "step": 5340
    },
    {
      "epoch": 0.3,
      "learning_rate": 0.00018588052164999336,
      "loss": 1.0607,
      "step": 5350
    },
    {
      "epoch": 0.3,
      "learning_rate": 0.00018584255585717268,
      "loss": 1.2277,
      "step": 5360
    },
    {
      "epoch": 0.3,
      "learning_rate": 0.00018580459006435203,
      "loss": 1.1081,
      "step": 5370
    },
    {
      "epoch": 0.3,
      "learning_rate": 0.00018576662427153136,
      "loss": 1.1414,
      "step": 5380
    },
    {
      "epoch": 0.3,
      "learning_rate": 0.00018572865847871068,
      "loss": 1.2183,
      "step": 5390
    },
    {
      "epoch": 0.3,
      "learning_rate": 0.00018569069268589003,
      "loss": 1.0255,
      "step": 5400
    },
    {
      "epoch": 0.3,
      "learning_rate": 0.00018565272689306935,
      "loss": 1.1896,
      "step": 5410
    },
    {
      "epoch": 0.3,
      "learning_rate": 0.00018561476110024868,
      "loss": 1.127,
      "step": 5420
    },
    {
      "epoch": 0.3,
      "learning_rate": 0.00018557679530742803,
      "loss": 1.1278,
      "step": 5430
    },
    {
      "epoch": 0.3,
      "learning_rate": 0.00018553882951460735,
      "loss": 1.2204,
      "step": 5440
    },
    {
      "epoch": 0.3,
      "learning_rate": 0.00018550086372178667,
      "loss": 1.0458,
      "step": 5450
    },
    {
      "epoch": 0.3,
      "learning_rate": 0.000185462897928966,
      "loss": 1.2106,
      "step": 5460
    },
    {
      "epoch": 0.3,
      "learning_rate": 0.00018542493213614532,
      "loss": 1.145,
      "step": 5470
    },
    {
      "epoch": 0.3,
      "learning_rate": 0.00018538696634332467,
      "loss": 1.1016,
      "step": 5480
    },
    {
      "epoch": 0.3,
      "learning_rate": 0.00018534900055050402,
      "loss": 1.1442,
      "step": 5490
    },
    {
      "epoch": 0.3,
      "learning_rate": 0.00018531103475768335,
      "loss": 1.0923,
      "step": 5500
    },
    {
      "epoch": 0.3,
      "learning_rate": 0.00018527306896486267,
      "loss": 1.1807,
      "step": 5510
    },
    {
      "epoch": 0.3,
      "learning_rate": 0.000185235103172042,
      "loss": 1.1165,
      "step": 5520
    },
    {
      "epoch": 0.31,
      "learning_rate": 0.00018519713737922134,
      "loss": 1.148,
      "step": 5530
    },
    {
      "epoch": 0.31,
      "learning_rate": 0.00018515917158640067,
      "loss": 1.193,
      "step": 5540
    },
    {
      "epoch": 0.31,
      "learning_rate": 0.00018512120579358,
      "loss": 1.0173,
      "step": 5550
    },
    {
      "epoch": 0.31,
      "learning_rate": 0.00018508324000075931,
      "loss": 1.2175,
      "step": 5560
    },
    {
      "epoch": 0.31,
      "learning_rate": 0.00018504527420793864,
      "loss": 1.1131,
      "step": 5570
    },
    {
      "epoch": 0.31,
      "learning_rate": 0.000185007308415118,
      "loss": 1.1276,
      "step": 5580
    },
    {
      "epoch": 0.31,
      "learning_rate": 0.00018496934262229734,
      "loss": 1.1736,
      "step": 5590
    },
    {
      "epoch": 0.31,
      "learning_rate": 0.00018493137682947666,
      "loss": 1.0398,
      "step": 5600
    },
    {
      "epoch": 0.31,
      "learning_rate": 0.00018489341103665599,
      "loss": 1.1924,
      "step": 5610
    },
    {
      "epoch": 0.31,
      "learning_rate": 0.0001848554452438353,
      "loss": 1.1046,
      "step": 5620
    },
    {
      "epoch": 0.31,
      "learning_rate": 0.00018481747945101463,
      "loss": 1.1178,
      "step": 5630
    },
    {
      "epoch": 0.31,
      "learning_rate": 0.00018477951365819398,
      "loss": 1.1669,
      "step": 5640
    },
    {
      "epoch": 0.31,
      "learning_rate": 0.0001847415478653733,
      "loss": 1.0463,
      "step": 5650
    },
    {
      "epoch": 0.31,
      "learning_rate": 0.00018470358207255266,
      "loss": 1.2307,
      "step": 5660
    },
    {
      "epoch": 0.31,
      "learning_rate": 0.00018466561627973198,
      "loss": 1.0907,
      "step": 5670
    },
    {
      "epoch": 0.31,
      "learning_rate": 0.0001846276504869113,
      "loss": 1.1094,
      "step": 5680
    },
    {
      "epoch": 0.31,
      "learning_rate": 0.00018458968469409063,
      "loss": 1.1678,
      "step": 5690
    },
    {
      "epoch": 0.31,
      "learning_rate": 0.00018455171890126998,
      "loss": 1.0547,
      "step": 5700
    },
    {
      "epoch": 0.32,
      "learning_rate": 0.0001845137531084493,
      "loss": 1.2321,
      "step": 5710
    },
    {
      "epoch": 0.32,
      "learning_rate": 0.00018447578731562862,
      "loss": 1.1277,
      "step": 5720
    },
    {
      "epoch": 0.32,
      "learning_rate": 0.00018443782152280795,
      "loss": 1.1338,
      "step": 5730
    },
    {
      "epoch": 0.32,
      "learning_rate": 0.00018439985572998727,
      "loss": 1.2256,
      "step": 5740
    },
    {
      "epoch": 0.32,
      "learning_rate": 0.00018436188993716662,
      "loss": 1.0613,
      "step": 5750
    },
    {
      "epoch": 0.32,
      "learning_rate": 0.00018432392414434597,
      "loss": 1.2168,
      "step": 5760
    },
    {
      "epoch": 0.32,
      "learning_rate": 0.0001842859583515253,
      "loss": 1.0944,
      "step": 5770
    },
    {
      "epoch": 0.32,
      "learning_rate": 0.00018424799255870462,
      "loss": 1.1116,
      "step": 5780
    },
    {
      "epoch": 0.32,
      "learning_rate": 0.00018421002676588394,
      "loss": 1.2336,
      "step": 5790
    },
    {
      "epoch": 0.32,
      "learning_rate": 0.00018417206097306327,
      "loss": 1.0786,
      "step": 5800
    },
    {
      "epoch": 0.32,
      "learning_rate": 0.00018413409518024262,
      "loss": 1.2013,
      "step": 5810
    },
    {
      "epoch": 0.32,
      "learning_rate": 0.00018409612938742194,
      "loss": 1.0692,
      "step": 5820
    },
    {
      "epoch": 0.32,
      "learning_rate": 0.00018405816359460126,
      "loss": 1.1132,
      "step": 5830
    },
    {
      "epoch": 0.32,
      "learning_rate": 0.00018402019780178061,
      "loss": 1.1931,
      "step": 5840
    },
    {
      "epoch": 0.32,
      "learning_rate": 0.00018398223200895994,
      "loss": 1.0281,
      "step": 5850
    },
    {
      "epoch": 0.32,
      "learning_rate": 0.00018394426621613926,
      "loss": 1.2425,
      "step": 5860
    },
    {
      "epoch": 0.32,
      "learning_rate": 0.0001839063004233186,
      "loss": 1.149,
      "step": 5870
    },
    {
      "epoch": 0.32,
      "learning_rate": 0.00018386833463049793,
      "loss": 1.1379,
      "step": 5880
    },
    {
      "epoch": 0.33,
      "learning_rate": 0.00018383036883767726,
      "loss": 1.1725,
      "step": 5890
    },
    {
      "epoch": 0.33,
      "learning_rate": 0.00018379240304485658,
      "loss": 1.0951,
      "step": 5900
    },
    {
      "epoch": 0.33,
      "learning_rate": 0.0001837544372520359,
      "loss": 1.195,
      "step": 5910
    },
    {
      "epoch": 0.33,
      "learning_rate": 0.00018371647145921526,
      "loss": 1.1485,
      "step": 5920
    },
    {
      "epoch": 0.33,
      "learning_rate": 0.0001836785056663946,
      "loss": 1.1079,
      "step": 5930
    },
    {
      "epoch": 0.33,
      "learning_rate": 0.00018364053987357393,
      "loss": 1.1965,
      "step": 5940
    },
    {
      "epoch": 0.33,
      "learning_rate": 0.00018360257408075325,
      "loss": 1.0699,
      "step": 5950
    },
    {
      "epoch": 0.33,
      "learning_rate": 0.00018356460828793258,
      "loss": 1.1892,
      "step": 5960
    },
    {
      "epoch": 0.33,
      "learning_rate": 0.0001835266424951119,
      "loss": 1.1574,
      "step": 5970
    },
    {
      "epoch": 0.33,
      "learning_rate": 0.00018348867670229125,
      "loss": 1.1089,
      "step": 5980
    },
    {
      "epoch": 0.33,
      "learning_rate": 0.00018345071090947057,
      "loss": 1.1851,
      "step": 5990
    },
    {
      "epoch": 0.33,
      "learning_rate": 0.0001834127451166499,
      "loss": 1.0495,
      "step": 6000
    },
    {
      "epoch": 0.33,
      "eval_loss": 1.1018731594085693,
      "eval_runtime": 1.9641,
      "eval_samples_per_second": 50.913,
      "eval_steps_per_second": 6.619,
      "step": 6000
    },
    {
      "epoch": 0.33,
      "mmlu_eval_accuracy": NaN,
      "mmlu_eval_accuracy_abstract_algebra": 0.5454545454545454,
      "mmlu_eval_accuracy_anatomy": 0.2857142857142857,
      "mmlu_eval_accuracy_astronomy": 0.0625,
      "mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
      "mmlu_eval_accuracy_clinical_knowledge": 0.5172413793103449,
      "mmlu_eval_accuracy_college_biology": 0.75,
      "mmlu_eval_accuracy_college_chemistry": 1.0,
      "mmlu_eval_accuracy_college_computer_science": 0.6363636363636364,
      "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
      "mmlu_eval_accuracy_college_medicine": 0.45454545454545453,
      "mmlu_eval_accuracy_college_physics": 0.5454545454545454,
      "mmlu_eval_accuracy_computer_security": 0.5454545454545454,
      "mmlu_eval_accuracy_conceptual_physics": 0.3333333333333333,
      "mmlu_eval_accuracy_econometrics": NaN,
      "mmlu_eval_accuracy_electrical_engineering": NaN,
      "mmlu_eval_accuracy_elementary_mathematics": NaN,
      "mmlu_eval_accuracy_formal_logic": NaN,
      "mmlu_eval_accuracy_global_facts": NaN,
      "mmlu_eval_accuracy_high_school_biology": NaN,
      "mmlu_eval_accuracy_high_school_chemistry": NaN,
      "mmlu_eval_accuracy_high_school_computer_science": NaN,
      "mmlu_eval_accuracy_high_school_european_history": NaN,
      "mmlu_eval_accuracy_high_school_geography": NaN,
      "mmlu_eval_accuracy_high_school_government_and_politics": NaN,
      "mmlu_eval_accuracy_high_school_macroeconomics": NaN,
      "mmlu_eval_accuracy_high_school_mathematics": NaN,
      "mmlu_eval_accuracy_high_school_microeconomics": NaN,
      "mmlu_eval_accuracy_high_school_physics": NaN,
      "mmlu_eval_accuracy_high_school_psychology": NaN,
      "mmlu_eval_accuracy_high_school_statistics": NaN,
      "mmlu_eval_accuracy_high_school_us_history": NaN,
      "mmlu_eval_accuracy_high_school_world_history": NaN,
      "mmlu_eval_accuracy_human_aging": NaN,
      "mmlu_eval_accuracy_human_sexuality": NaN,
      "mmlu_eval_accuracy_international_law": NaN,
      "mmlu_eval_accuracy_jurisprudence": NaN,
      "mmlu_eval_accuracy_logical_fallacies": NaN,
      "mmlu_eval_accuracy_machine_learning": NaN,
      "mmlu_eval_accuracy_management": NaN,
      "mmlu_eval_accuracy_marketing": NaN,
      "mmlu_eval_accuracy_medical_genetics": NaN,
      "mmlu_eval_accuracy_miscellaneous": NaN,
      "mmlu_eval_accuracy_moral_disputes": NaN,
      "mmlu_eval_accuracy_moral_scenarios": NaN,
      "mmlu_eval_accuracy_nutrition": NaN,
      "mmlu_eval_accuracy_philosophy": NaN,
      "mmlu_eval_accuracy_prehistory": NaN,
      "mmlu_eval_accuracy_professional_accounting": NaN,
      "mmlu_eval_accuracy_professional_law": NaN,
      "mmlu_eval_accuracy_professional_medicine": NaN,
      "mmlu_eval_accuracy_professional_psychology": NaN,
      "mmlu_eval_accuracy_public_relations": NaN,
      "mmlu_eval_accuracy_security_studies": NaN,
      "mmlu_eval_accuracy_sociology": NaN,
      "mmlu_eval_accuracy_us_foreign_policy": NaN,
      "mmlu_eval_accuracy_virology": NaN,
      "mmlu_eval_accuracy_world_religions": NaN,
      "mmlu_loss": 1.2562693644625444,
      "step": 6000
    },
    {
      "epoch": 0.33,
      "learning_rate": 0.00018337477932382925,
      "loss": 1.2248,
      "step": 6010
    },
    {
      "epoch": 0.33,
      "learning_rate": 0.00018333681353100857,
      "loss": 1.1279,
      "step": 6020
    },
    {
      "epoch": 0.33,
      "learning_rate": 0.0001832988477381879,
      "loss": 1.0738,
      "step": 6030
    },
    {
      "epoch": 0.33,
      "learning_rate": 0.00018326088194536725,
      "loss": 1.1895,
      "step": 6040
    },
    {
      "epoch": 0.33,
      "learning_rate": 0.00018322291615254657,
      "loss": 1.0129,
      "step": 6050
    },
    {
      "epoch": 0.33,
      "learning_rate": 0.0001831849503597259,
      "loss": 1.2221,
      "step": 6060
    },
    {
      "epoch": 0.34,
      "learning_rate": 0.00018314698456690522,
      "loss": 1.1028,
      "step": 6070
    },
    {
      "epoch": 0.34,
      "learning_rate": 0.00018310901877408454,
      "loss": 1.102,
      "step": 6080
    },
    {
      "epoch": 0.34,
      "learning_rate": 0.0001830710529812639,
      "loss": 1.1225,
      "step": 6090
    },
    {
      "epoch": 0.34,
      "learning_rate": 0.00018303308718844324,
      "loss": 1.0915,
      "step": 6100
    },
    {
      "epoch": 0.34,
      "learning_rate": 0.00018299512139562256,
      "loss": 1.1598,
      "step": 6110
    },
    {
      "epoch": 0.34,
      "learning_rate": 0.0001829571556028019,
      "loss": 1.1404,
      "step": 6120
    },
    {
      "epoch": 0.34,
      "learning_rate": 0.0001829191898099812,
      "loss": 1.0737,
      "step": 6130
    },
    {
      "epoch": 0.34,
      "learning_rate": 0.00018288122401716053,
      "loss": 1.1347,
      "step": 6140
    },
    {
      "epoch": 0.34,
      "learning_rate": 0.00018284325822433988,
      "loss": 1.0211,
      "step": 6150
    },
    {
      "epoch": 0.34,
      "learning_rate": 0.0001828052924315192,
      "loss": 1.2267,
      "step": 6160
    },
    {
      "epoch": 0.34,
      "learning_rate": 0.00018276732663869853,
      "loss": 1.1446,
      "step": 6170
    },
    {
      "epoch": 0.34,
      "learning_rate": 0.00018272936084587788,
      "loss": 1.1504,
      "step": 6180
    },
    {
      "epoch": 0.34,
      "learning_rate": 0.0001826913950530572,
      "loss": 1.1443,
      "step": 6190
    },
    {
      "epoch": 0.34,
      "learning_rate": 0.00018265342926023653,
      "loss": 1.0797,
      "step": 6200
    },
    {
      "epoch": 0.34,
      "learning_rate": 0.00018261546346741588,
      "loss": 1.1665,
      "step": 6210
    },
    {
      "epoch": 0.34,
      "learning_rate": 0.0001825774976745952,
      "loss": 1.0945,
      "step": 6220
    },
    {
      "epoch": 0.34,
      "learning_rate": 0.00018253953188177453,
      "loss": 1.1407,
      "step": 6230
    },
    {
      "epoch": 0.34,
      "learning_rate": 0.00018250156608895385,
      "loss": 1.1482,
      "step": 6240
    },
    {
      "epoch": 0.35,
      "learning_rate": 0.00018246360029613317,
      "loss": 1.0432,
      "step": 6250
    },
    {
      "epoch": 0.35,
      "learning_rate": 0.00018242563450331252,
      "loss": 1.2223,
      "step": 6260
    },
    {
      "epoch": 0.35,
      "learning_rate": 0.00018238766871049187,
      "loss": 1.1428,
      "step": 6270
    },
    {
      "epoch": 0.35,
      "learning_rate": 0.0001823497029176712,
      "loss": 1.0959,
      "step": 6280
    },
    {
      "epoch": 0.35,
      "learning_rate": 0.00018231173712485052,
      "loss": 1.1745,
      "step": 6290
    },
    {
      "epoch": 0.35,
      "learning_rate": 0.00018227377133202984,
      "loss": 1.0914,
      "step": 6300
    },
    {
      "epoch": 0.35,
      "learning_rate": 0.00018223580553920917,
      "loss": 1.1881,
      "step": 6310
    },
    {
      "epoch": 0.35,
      "learning_rate": 0.00018219783974638852,
      "loss": 1.1077,
      "step": 6320
    },
    {
      "epoch": 0.35,
      "learning_rate": 0.00018215987395356784,
      "loss": 1.0773,
      "step": 6330
    },
    {
      "epoch": 0.35,
      "learning_rate": 0.00018212190816074717,
      "loss": 1.1642,
      "step": 6340
    },
    {
      "epoch": 0.35,
      "learning_rate": 0.0001820839423679265,
      "loss": 1.0321,
      "step": 6350
    },
    {
      "epoch": 0.35,
      "learning_rate": 0.00018204597657510584,
      "loss": 1.168,
      "step": 6360
    },
    {
      "epoch": 0.35,
      "learning_rate": 0.0001820080107822852,
      "loss": 1.1029,
      "step": 6370
    },
    {
      "epoch": 0.35,
      "learning_rate": 0.0001819700449894645,
      "loss": 1.1007,
      "step": 6380
    },
    {
      "epoch": 0.35,
      "learning_rate": 0.00018193207919664384,
      "loss": 1.2254,
      "step": 6390
    },
    {
      "epoch": 0.35,
      "learning_rate": 0.00018189411340382316,
      "loss": 1.0357,
      "step": 6400
    },
    {
      "epoch": 0.35,
      "learning_rate": 0.00018185614761100248,
      "loss": 1.2457,
      "step": 6410
    },
    {
      "epoch": 0.35,
      "learning_rate": 0.00018181818181818183,
      "loss": 1.1002,
      "step": 6420
    },
    {
      "epoch": 0.36,
      "learning_rate": 0.00018178021602536116,
      "loss": 1.1173,
      "step": 6430
    },
    {
      "epoch": 0.36,
      "learning_rate": 0.0001817422502325405,
      "loss": 1.1747,
      "step": 6440
    },
    {
      "epoch": 0.36,
      "learning_rate": 0.00018170428443971983,
      "loss": 1.0586,
      "step": 6450
    },
    {
      "epoch": 0.36,
      "learning_rate": 0.00018166631864689916,
      "loss": 1.218,
      "step": 6460
    },
    {
      "epoch": 0.36,
      "learning_rate": 0.00018162835285407848,
      "loss": 1.1095,
      "step": 6470
    },
    {
      "epoch": 0.36,
      "learning_rate": 0.00018159038706125783,
      "loss": 1.1188,
      "step": 6480
    },
    {
      "epoch": 0.36,
      "learning_rate": 0.00018155242126843715,
      "loss": 1.1898,
      "step": 6490
    },
    {
      "epoch": 0.36,
      "learning_rate": 0.00018151445547561648,
      "loss": 1.0182,
      "step": 6500
    },
    {
      "epoch": 0.36,
      "learning_rate": 0.0001814764896827958,
      "loss": 1.2594,
      "step": 6510
    },
    {
      "epoch": 0.36,
      "learning_rate": 0.00018143852388997512,
      "loss": 1.0942,
      "step": 6520
    },
    {
      "epoch": 0.36,
      "learning_rate": 0.00018140055809715447,
      "loss": 1.1292,
      "step": 6530
    },
    {
      "epoch": 0.36,
      "learning_rate": 0.00018136259230433382,
      "loss": 1.1962,
      "step": 6540
    },
    {
      "epoch": 0.36,
      "learning_rate": 0.00018132462651151315,
      "loss": 1.0887,
      "step": 6550
    },
    {
      "epoch": 0.36,
      "learning_rate": 0.00018128666071869247,
      "loss": 1.148,
      "step": 6560
    },
    {
      "epoch": 0.36,
      "learning_rate": 0.0001812486949258718,
      "loss": 1.0687,
      "step": 6570
    },
    {
      "epoch": 0.36,
      "learning_rate": 0.00018121072913305112,
      "loss": 1.1146,
      "step": 6580
    },
    {
      "epoch": 0.36,
      "learning_rate": 0.00018117276334023047,
      "loss": 1.1275,
      "step": 6590
    },
    {
      "epoch": 0.36,
      "learning_rate": 0.0001811347975474098,
      "loss": 1.0666,
      "step": 6600
    },
    {
      "epoch": 0.37,
      "learning_rate": 0.00018109683175458912,
      "loss": 1.2092,
      "step": 6610
    },
    {
      "epoch": 0.37,
      "learning_rate": 0.00018105886596176847,
      "loss": 1.1358,
      "step": 6620
    },
    {
      "epoch": 0.37,
      "learning_rate": 0.0001810209001689478,
      "loss": 1.203,
      "step": 6630
    },
    {
      "epoch": 0.37,
      "learning_rate": 0.0001809829343761271,
      "loss": 1.1757,
      "step": 6640
    },
    {
      "epoch": 0.37,
      "learning_rate": 0.00018094496858330646,
      "loss": 1.0754,
      "step": 6650
    },
    {
      "epoch": 0.37,
      "learning_rate": 0.0001809070027904858,
      "loss": 1.2037,
      "step": 6660
    },
    {
      "epoch": 0.37,
      "learning_rate": 0.0001808690369976651,
      "loss": 1.1305,
      "step": 6670
    },
    {
      "epoch": 0.37,
      "learning_rate": 0.00018083107120484443,
      "loss": 1.0914,
      "step": 6680
    },
    {
      "epoch": 0.37,
      "learning_rate": 0.00018079310541202376,
      "loss": 1.1591,
      "step": 6690
    },
    {
      "epoch": 0.37,
      "learning_rate": 0.0001807551396192031,
      "loss": 1.0899,
      "step": 6700
    },
    {
      "epoch": 0.37,
      "learning_rate": 0.00018071717382638246,
      "loss": 1.1849,
      "step": 6710
    },
    {
      "epoch": 0.37,
      "learning_rate": 0.00018067920803356178,
      "loss": 1.0921,
      "step": 6720
    },
    {
      "epoch": 0.37,
      "learning_rate": 0.0001806412422407411,
      "loss": 1.1229,
      "step": 6730
    },
    {
      "epoch": 0.37,
      "learning_rate": 0.00018060327644792043,
      "loss": 1.1526,
      "step": 6740
    },
    {
      "epoch": 0.37,
      "learning_rate": 0.00018056531065509975,
      "loss": 1.0688,
      "step": 6750
    },
    {
      "epoch": 0.37,
      "learning_rate": 0.0001805273448622791,
      "loss": 1.208,
      "step": 6760
    },
    {
      "epoch": 0.37,
      "learning_rate": 0.00018048937906945843,
      "loss": 1.0821,
      "step": 6770
    },
    {
      "epoch": 0.37,
      "learning_rate": 0.00018045141327663775,
      "loss": 1.0888,
      "step": 6780
    },
    {
      "epoch": 0.38,
      "learning_rate": 0.0001804134474838171,
      "loss": 1.1763,
      "step": 6790
    },
    {
      "epoch": 0.38,
      "learning_rate": 0.00018037548169099642,
      "loss": 1.0669,
      "step": 6800
    },
    {
      "epoch": 0.38,
      "learning_rate": 0.00018033751589817575,
      "loss": 1.2801,
      "step": 6810
    },
    {
      "epoch": 0.38,
      "learning_rate": 0.0001802995501053551,
      "loss": 1.0969,
      "step": 6820
    },
    {
      "epoch": 0.38,
      "learning_rate": 0.00018026158431253442,
      "loss": 1.1022,
      "step": 6830
    },
    {
      "epoch": 0.38,
      "learning_rate": 0.00018022361851971374,
      "loss": 1.1699,
      "step": 6840
    },
    {
      "epoch": 0.38,
      "learning_rate": 0.00018018565272689307,
      "loss": 1.0569,
      "step": 6850
    },
    {
      "epoch": 0.38,
      "learning_rate": 0.0001801476869340724,
      "loss": 1.1959,
      "step": 6860
    },
    {
      "epoch": 0.38,
      "learning_rate": 0.00018010972114125174,
      "loss": 1.1223,
      "step": 6870
    },
    {
      "epoch": 0.38,
      "learning_rate": 0.0001800717553484311,
      "loss": 1.1347,
      "step": 6880
    },
    {
      "epoch": 0.38,
      "learning_rate": 0.00018003378955561042,
      "loss": 1.1832,
      "step": 6890
    },
    {
      "epoch": 0.38,
      "learning_rate": 0.00017999582376278974,
      "loss": 1.0275,
      "step": 6900
    },
    {
      "epoch": 0.38,
      "learning_rate": 0.00017995785796996906,
      "loss": 1.2386,
      "step": 6910
    },
    {
      "epoch": 0.38,
      "learning_rate": 0.00017991989217714839,
      "loss": 1.0886,
      "step": 6920
    },
    {
      "epoch": 0.38,
      "learning_rate": 0.00017988192638432774,
      "loss": 1.1499,
      "step": 6930
    },
    {
      "epoch": 0.38,
      "learning_rate": 0.00017984396059150706,
      "loss": 1.1467,
      "step": 6940
    },
    {
      "epoch": 0.38,
      "learning_rate": 0.00017980599479868638,
      "loss": 1.0457,
      "step": 6950
    },
    {
      "epoch": 0.38,
      "learning_rate": 0.00017976802900586573,
      "loss": 1.182,
      "step": 6960
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.00017973006321304506,
      "loss": 1.1167,
      "step": 6970
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.00017969209742022438,
      "loss": 1.0978,
      "step": 6980
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.00017965413162740373,
      "loss": 1.1854,
      "step": 6990
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.00017961616583458305,
      "loss": 1.0204,
      "step": 7000
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.00017957820004176238,
      "loss": 1.1626,
      "step": 7010
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.0001795402342489417,
      "loss": 1.0955,
      "step": 7020
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.00017950226845612102,
      "loss": 1.0513,
      "step": 7030
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.00017946430266330038,
      "loss": 1.1696,
      "step": 7040
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.00017942633687047973,
      "loss": 1.0451,
      "step": 7050
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.00017938837107765905,
      "loss": 1.2098,
      "step": 7060
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.00017935040528483837,
      "loss": 1.1188,
      "step": 7070
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.0001793124394920177,
      "loss": 1.1274,
      "step": 7080
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.00017927447369919702,
      "loss": 1.1945,
      "step": 7090
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.00017923650790637637,
      "loss": 1.0446,
      "step": 7100
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.0001791985421135557,
      "loss": 1.203,
      "step": 7110
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.00017916057632073502,
      "loss": 1.0866,
      "step": 7120
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.00017912261052791434,
      "loss": 1.0894,
      "step": 7130
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.0001790846447350937,
      "loss": 1.172,
      "step": 7140
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.00017904667894227301,
      "loss": 1.034,
      "step": 7150
    },
    {
      "epoch": 0.4,
      "learning_rate": 0.00017900871314945237,
      "loss": 1.1868,
      "step": 7160
    },
    {
      "epoch": 0.4,
      "learning_rate": 0.0001789707473566317,
      "loss": 1.1176,
      "step": 7170
    },
    {
      "epoch": 0.4,
      "learning_rate": 0.000178932781563811,
      "loss": 1.0997,
      "step": 7180
    },
    {
      "epoch": 0.4,
      "learning_rate": 0.00017889481577099034,
      "loss": 1.1568,
      "step": 7190
    },
    {
      "epoch": 0.4,
      "learning_rate": 0.00017885684997816966,
      "loss": 1.0912,
      "step": 7200
    },
    {
      "epoch": 0.4,
      "learning_rate": 0.000178818884185349,
      "loss": 1.2338,
      "step": 7210
    },
    {
      "epoch": 0.4,
      "learning_rate": 0.00017878091839252836,
      "loss": 1.134,
      "step": 7220
    },
    {
      "epoch": 0.4,
      "learning_rate": 0.00017874295259970768,
      "loss": 1.1345,
      "step": 7230
    },
    {
      "epoch": 0.4,
      "learning_rate": 0.000178704986806887,
      "loss": 1.1553,
      "step": 7240
    },
    {
      "epoch": 0.4,
      "learning_rate": 0.00017866702101406633,
      "loss": 1.0481,
      "step": 7250
    },
    {
      "epoch": 0.4,
      "learning_rate": 0.00017862905522124565,
      "loss": 1.1803,
      "step": 7260
    },
    {
      "epoch": 0.4,
      "learning_rate": 0.000178591089428425,
      "loss": 1.1155,
      "step": 7270
    },
    {
      "epoch": 0.4,
      "learning_rate": 0.00017855312363560433,
      "loss": 1.172,
      "step": 7280
    },
    {
      "epoch": 0.4,
      "learning_rate": 0.00017851515784278365,
      "loss": 1.196,
      "step": 7290
    },
    {
      "epoch": 0.4,
      "learning_rate": 0.00017847719204996297,
      "loss": 1.0885,
      "step": 7300
    },
    {
      "epoch": 0.4,
      "learning_rate": 0.00017843922625714233,
      "loss": 1.2438,
      "step": 7310
    },
    {
      "epoch": 0.4,
      "learning_rate": 0.00017840126046432168,
      "loss": 1.1048,
      "step": 7320
    },
    {
      "epoch": 0.4,
      "learning_rate": 0.000178363294671501,
      "loss": 1.071,
      "step": 7330
    },
    {
      "epoch": 0.41,
      "learning_rate": 0.00017832532887868032,
      "loss": 1.1621,
      "step": 7340
    },
    {
      "epoch": 0.41,
      "learning_rate": 0.00017828736308585965,
      "loss": 1.0827,
      "step": 7350
    },
    {
      "epoch": 0.41,
      "learning_rate": 0.00017824939729303897,
      "loss": 1.2149,
      "step": 7360
    },
    {
      "epoch": 0.41,
      "learning_rate": 0.00017821143150021832,
      "loss": 1.1233,
      "step": 7370
    },
    {
      "epoch": 0.41,
      "learning_rate": 0.00017817346570739764,
      "loss": 1.1542,
      "step": 7380
    },
    {
      "epoch": 0.41,
      "learning_rate": 0.00017813549991457697,
      "loss": 1.1472,
      "step": 7390
    },
    {
      "epoch": 0.41,
      "learning_rate": 0.00017809753412175632,
      "loss": 1.0609,
      "step": 7400
    },
    {
      "epoch": 0.41,
      "learning_rate": 0.00017805956832893564,
      "loss": 1.1793,
      "step": 7410
    },
    {
      "epoch": 0.41,
      "learning_rate": 0.00017802160253611496,
      "loss": 1.0775,
      "step": 7420
    },
    {
      "epoch": 0.41,
      "learning_rate": 0.00017798363674329431,
      "loss": 1.1373,
      "step": 7430
    },
    {
      "epoch": 0.41,
      "learning_rate": 0.00017794567095047364,
      "loss": 1.1609,
      "step": 7440
    },
    {
      "epoch": 0.41,
      "learning_rate": 0.00017790770515765296,
      "loss": 0.9958,
      "step": 7450
    },
    {
      "epoch": 0.41,
      "learning_rate": 0.00017786973936483229,
      "loss": 1.2479,
      "step": 7460
    },
    {
      "epoch": 0.41,
      "learning_rate": 0.0001778317735720116,
      "loss": 1.0825,
      "step": 7470
    },
    {
      "epoch": 0.41,
      "learning_rate": 0.00017779380777919096,
      "loss": 1.1483,
      "step": 7480
    },
    {
      "epoch": 0.41,
      "learning_rate": 0.0001777558419863703,
      "loss": 1.1722,
      "step": 7490
    },
    {
      "epoch": 0.41,
      "learning_rate": 0.00017771787619354963,
      "loss": 1.0618,
      "step": 7500
    },
    {
      "epoch": 0.41,
      "learning_rate": 0.00017767991040072896,
      "loss": 1.1825,
      "step": 7510
    },
    {
      "epoch": 0.42,
      "learning_rate": 0.00017764194460790828,
      "loss": 1.1448,
      "step": 7520
    },
    {
      "epoch": 0.42,
      "learning_rate": 0.0001776039788150876,
      "loss": 1.102,
      "step": 7530
    },
    {
      "epoch": 0.42,
      "learning_rate": 0.00017756601302226695,
      "loss": 1.1665,
      "step": 7540
    },
    {
      "epoch": 0.42,
      "learning_rate": 0.00017752804722944628,
      "loss": 1.0456,
      "step": 7550
    },
    {
      "epoch": 0.42,
      "learning_rate": 0.0001774900814366256,
      "loss": 1.2029,
      "step": 7560
    },
    {
      "epoch": 0.42,
      "learning_rate": 0.00017745211564380495,
      "loss": 1.1128,
      "step": 7570
    },
    {
      "epoch": 0.42,
      "learning_rate": 0.00017741414985098427,
      "loss": 1.1381,
      "step": 7580
    },
    {
      "epoch": 0.42,
      "learning_rate": 0.0001773761840581636,
      "loss": 1.1638,
      "step": 7590
    },
    {
      "epoch": 0.42,
      "learning_rate": 0.00017733821826534295,
      "loss": 1.0881,
      "step": 7600
    },
    {
      "epoch": 0.42,
      "learning_rate": 0.00017730025247252227,
      "loss": 1.2373,
      "step": 7610
    },
    {
      "epoch": 0.42,
      "learning_rate": 0.0001772622866797016,
      "loss": 1.1243,
      "step": 7620
    },
    {
      "epoch": 0.42,
      "learning_rate": 0.00017722432088688092,
      "loss": 1.0909,
      "step": 7630
    },
    {
      "epoch": 0.42,
      "learning_rate": 0.00017718635509406024,
      "loss": 1.1583,
      "step": 7640
    },
    {
      "epoch": 0.42,
      "learning_rate": 0.0001771483893012396,
      "loss": 1.0165,
      "step": 7650
    },
    {
      "epoch": 0.42,
      "learning_rate": 0.00017711042350841894,
      "loss": 1.1867,
      "step": 7660
    },
    {
      "epoch": 0.42,
      "learning_rate": 0.00017707245771559827,
      "loss": 1.0553,
      "step": 7670
    },
    {
      "epoch": 0.42,
      "learning_rate": 0.0001770344919227776,
      "loss": 1.1146,
      "step": 7680
    },
    {
      "epoch": 0.42,
      "learning_rate": 0.00017699652612995691,
      "loss": 1.1711,
      "step": 7690
    },
    {
      "epoch": 0.43,
      "learning_rate": 0.00017695856033713624,
      "loss": 1.06,
      "step": 7700
    },
    {
      "epoch": 0.43,
      "learning_rate": 0.0001769205945443156,
      "loss": 1.2259,
      "step": 7710
    },
    {
      "epoch": 0.43,
      "learning_rate": 0.0001768826287514949,
      "loss": 1.1026,
      "step": 7720
    },
    {
      "epoch": 0.43,
      "learning_rate": 0.00017684466295867423,
      "loss": 1.1233,
      "step": 7730
    },
    {
      "epoch": 0.43,
      "learning_rate": 0.00017680669716585359,
      "loss": 1.1615,
      "step": 7740
    },
    {
      "epoch": 0.43,
      "learning_rate": 0.0001767687313730329,
      "loss": 1.0338,
      "step": 7750
    },
    {
      "epoch": 0.43,
      "learning_rate": 0.00017673076558021223,
      "loss": 1.2506,
      "step": 7760
    },
    {
      "epoch": 0.43,
      "learning_rate": 0.00017669279978739158,
      "loss": 1.1077,
      "step": 7770
    },
    {
      "epoch": 0.43,
      "learning_rate": 0.0001766548339945709,
      "loss": 1.0701,
      "step": 7780
    },
    {
      "epoch": 0.43,
      "learning_rate": 0.00017661686820175023,
      "loss": 1.1583,
      "step": 7790
    },
    {
      "epoch": 0.43,
      "learning_rate": 0.00017657890240892955,
      "loss": 1.0209,
      "step": 7800
    },
    {
      "epoch": 0.43,
      "learning_rate": 0.00017654093661610888,
      "loss": 1.2504,
      "step": 7810
    },
    {
      "epoch": 0.43,
      "learning_rate": 0.00017650297082328823,
      "loss": 1.0819,
      "step": 7820
    },
    {
      "epoch": 0.43,
      "learning_rate": 0.00017646500503046758,
      "loss": 1.1083,
      "step": 7830
    },
    {
      "epoch": 0.43,
      "learning_rate": 0.0001764270392376469,
      "loss": 1.1461,
      "step": 7840
    },
    {
      "epoch": 0.43,
      "learning_rate": 0.00017638907344482622,
      "loss": 1.0021,
      "step": 7850
    },
    {
      "epoch": 0.43,
      "learning_rate": 0.00017635110765200555,
      "loss": 1.1797,
      "step": 7860
    },
    {
      "epoch": 0.43,
      "learning_rate": 0.00017631314185918487,
      "loss": 1.1139,
      "step": 7870
    },
    {
      "epoch": 0.44,
      "learning_rate": 0.00017627517606636422,
      "loss": 1.112,
      "step": 7880
    },
    {
      "epoch": 0.44,
      "learning_rate": 0.00017623721027354355,
      "loss": 1.1878,
      "step": 7890
    },
    {
      "epoch": 0.44,
      "learning_rate": 0.00017619924448072287,
      "loss": 1.0614,
      "step": 7900
    },
    {
      "epoch": 0.44,
      "learning_rate": 0.0001761612786879022,
      "loss": 1.2,
      "step": 7910
    },
    {
      "epoch": 0.44,
      "learning_rate": 0.00017612331289508154,
      "loss": 1.0745,
      "step": 7920
    },
    {
      "epoch": 0.44,
      "learning_rate": 0.00017608534710226087,
      "loss": 1.091,
      "step": 7930
    },
    {
      "epoch": 0.44,
      "learning_rate": 0.00017604738130944022,
      "loss": 1.1541,
      "step": 7940
    },
    {
      "epoch": 0.44,
      "learning_rate": 0.00017600941551661954,
      "loss": 1.0546,
      "step": 7950
    },
    {
      "epoch": 0.44,
      "learning_rate": 0.00017597144972379886,
      "loss": 1.1869,
      "step": 7960
    },
    {
      "epoch": 0.44,
      "learning_rate": 0.0001759334839309782,
      "loss": 1.0857,
      "step": 7970
    },
    {
      "epoch": 0.44,
      "learning_rate": 0.0001758955181381575,
      "loss": 1.1167,
      "step": 7980
    },
    {
      "epoch": 0.44,
      "learning_rate": 0.00017585755234533686,
      "loss": 1.1943,
      "step": 7990
    },
    {
      "epoch": 0.44,
      "learning_rate": 0.0001758195865525162,
      "loss": 1.0637,
      "step": 8000
    },
    {
      "epoch": 0.44,
      "eval_loss": 1.1032294034957886,
      "eval_runtime": 2.0046,
      "eval_samples_per_second": 49.886,
      "eval_steps_per_second": 6.485,
      "step": 8000
    },
    {
      "epoch": 0.44,
      "mmlu_eval_accuracy": NaN,
      "mmlu_eval_accuracy_abstract_algebra": 0.5454545454545454,
      "mmlu_eval_accuracy_anatomy": 0.35714285714285715,
      "mmlu_eval_accuracy_astronomy": 0.0625,
      "mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
      "mmlu_eval_accuracy_clinical_knowledge": 0.41379310344827586,
      "mmlu_eval_accuracy_college_biology": 0.8125,
      "mmlu_eval_accuracy_college_chemistry": 1.0,
      "mmlu_eval_accuracy_college_computer_science": 0.6363636363636364,
      "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
      "mmlu_eval_accuracy_college_medicine": 0.45454545454545453,
      "mmlu_eval_accuracy_college_physics": 0.2727272727272727,
      "mmlu_eval_accuracy_computer_security": 0.6363636363636364,
      "mmlu_eval_accuracy_conceptual_physics": 0.5238095238095238,
      "mmlu_eval_accuracy_econometrics": NaN,
      "mmlu_eval_accuracy_electrical_engineering": NaN,
      "mmlu_eval_accuracy_elementary_mathematics": NaN,
      "mmlu_eval_accuracy_formal_logic": NaN,
      "mmlu_eval_accuracy_global_facts": NaN,
      "mmlu_eval_accuracy_high_school_biology": NaN,
      "mmlu_eval_accuracy_high_school_chemistry": NaN,
      "mmlu_eval_accuracy_high_school_computer_science": NaN,
      "mmlu_eval_accuracy_high_school_european_history": NaN,
      "mmlu_eval_accuracy_high_school_geography": NaN,
      "mmlu_eval_accuracy_high_school_government_and_politics": NaN,
      "mmlu_eval_accuracy_high_school_macroeconomics": NaN,
      "mmlu_eval_accuracy_high_school_mathematics": NaN,
      "mmlu_eval_accuracy_high_school_microeconomics": NaN,
      "mmlu_eval_accuracy_high_school_physics": NaN,
      "mmlu_eval_accuracy_high_school_psychology": NaN,
      "mmlu_eval_accuracy_high_school_statistics": NaN,
      "mmlu_eval_accuracy_high_school_us_history": NaN,
      "mmlu_eval_accuracy_high_school_world_history": NaN,
      "mmlu_eval_accuracy_human_aging": NaN,
      "mmlu_eval_accuracy_human_sexuality": NaN,
      "mmlu_eval_accuracy_international_law": NaN,
      "mmlu_eval_accuracy_jurisprudence": NaN,
      "mmlu_eval_accuracy_logical_fallacies": NaN,
      "mmlu_eval_accuracy_machine_learning": NaN,
      "mmlu_eval_accuracy_management": NaN,
      "mmlu_eval_accuracy_marketing": NaN,
      "mmlu_eval_accuracy_medical_genetics": NaN,
      "mmlu_eval_accuracy_miscellaneous": NaN,
      "mmlu_eval_accuracy_moral_disputes": NaN,
      "mmlu_eval_accuracy_moral_scenarios": NaN,
      "mmlu_eval_accuracy_nutrition": NaN,
      "mmlu_eval_accuracy_philosophy": NaN,
      "mmlu_eval_accuracy_prehistory": NaN,
      "mmlu_eval_accuracy_professional_accounting": NaN,
      "mmlu_eval_accuracy_professional_law": NaN,
      "mmlu_eval_accuracy_professional_medicine": NaN,
      "mmlu_eval_accuracy_professional_psychology": NaN,
      "mmlu_eval_accuracy_public_relations": NaN,
      "mmlu_eval_accuracy_security_studies": NaN,
      "mmlu_eval_accuracy_sociology": NaN,
      "mmlu_eval_accuracy_us_foreign_policy": NaN,
      "mmlu_eval_accuracy_virology": NaN,
      "mmlu_eval_accuracy_world_religions": NaN,
      "mmlu_loss": 1.1005631206401933,
      "step": 8000
    },
    {
      "epoch": 0.44,
      "learning_rate": 0.00017578162075969553,
      "loss": 1.1715,
      "step": 8010
    },
    {
      "epoch": 0.44,
      "learning_rate": 0.00017574365496687486,
      "loss": 1.0833,
      "step": 8020
    },
    {
      "epoch": 0.44,
      "learning_rate": 0.00017570568917405418,
      "loss": 1.1304,
      "step": 8030
    },
    {
      "epoch": 0.44,
      "learning_rate": 0.0001756677233812335,
      "loss": 1.1738,
      "step": 8040
    },
    {
      "epoch": 0.44,
      "learning_rate": 0.00017562975758841286,
      "loss": 1.0631,
      "step": 8050
    },
    {
      "epoch": 0.45,
      "learning_rate": 0.00017559179179559218,
      "loss": 1.2041,
      "step": 8060
    },
    {
      "epoch": 0.45,
      "learning_rate": 0.0001755538260027715,
      "loss": 1.1268,
      "step": 8070
    },
    {
      "epoch": 0.45,
      "learning_rate": 0.00017551586020995083,
      "loss": 1.1077,
      "step": 8080
    },
    {
      "epoch": 0.45,
      "learning_rate": 0.00017547789441713018,
      "loss": 1.154,
      "step": 8090
    },
    {
      "epoch": 0.45,
      "learning_rate": 0.0001754399286243095,
      "loss": 1.0583,
      "step": 8100
    },
    {
      "epoch": 0.45,
      "learning_rate": 0.00017540196283148885,
      "loss": 1.1546,
      "step": 8110
    },
    {
      "epoch": 0.45,
      "learning_rate": 0.00017536399703866817,
      "loss": 1.0995,
      "step": 8120
    },
    {
      "epoch": 0.45,
      "learning_rate": 0.0001753260312458475,
      "loss": 1.1243,
      "step": 8130
    },
    {
      "epoch": 0.45,
      "learning_rate": 0.00017528806545302682,
      "loss": 1.1597,
      "step": 8140
    },
    {
      "epoch": 0.45,
      "learning_rate": 0.00017525009966020614,
      "loss": 1.0308,
      "step": 8150
    },
    {
      "epoch": 0.45,
      "learning_rate": 0.0001752121338673855,
      "loss": 1.1751,
      "step": 8160
    },
    {
      "epoch": 0.45,
      "learning_rate": 0.00017517416807456482,
      "loss": 1.1108,
      "step": 8170
    },
    {
      "epoch": 0.45,
      "learning_rate": 0.00017513620228174417,
      "loss": 1.1264,
      "step": 8180
    },
    {
      "epoch": 0.45,
      "learning_rate": 0.0001750982364889235,
      "loss": 1.1662,
      "step": 8190
    },
    {
      "epoch": 0.45,
      "learning_rate": 0.00017506027069610282,
      "loss": 1.0727,
      "step": 8200
    },
    {
      "epoch": 0.45,
      "learning_rate": 0.00017502230490328214,
      "loss": 1.1721,
      "step": 8210
    },
    {
      "epoch": 0.45,
      "learning_rate": 0.0001749843391104615,
      "loss": 1.1738,
      "step": 8220
    },
    {
      "epoch": 0.45,
      "learning_rate": 0.0001749463733176408,
      "loss": 1.1167,
      "step": 8230
    },
    {
      "epoch": 0.46,
      "learning_rate": 0.00017490840752482014,
      "loss": 1.1913,
      "step": 8240
    },
    {
      "epoch": 0.46,
      "learning_rate": 0.00017487044173199946,
      "loss": 1.0407,
      "step": 8250
    },
    {
      "epoch": 0.46,
      "learning_rate": 0.0001748324759391788,
      "loss": 1.1789,
      "step": 8260
    },
    {
      "epoch": 0.46,
      "learning_rate": 0.00017479451014635816,
      "loss": 1.079,
      "step": 8270
    },
    {
      "epoch": 0.46,
      "learning_rate": 0.00017475654435353748,
      "loss": 1.0893,
      "step": 8280
    },
    {
      "epoch": 0.46,
      "learning_rate": 0.0001747185785607168,
      "loss": 1.2122,
      "step": 8290
    },
    {
      "epoch": 0.46,
      "learning_rate": 0.00017468061276789613,
      "loss": 1.048,
      "step": 8300
    },
    {
      "epoch": 0.46,
      "learning_rate": 0.00017464264697507545,
      "loss": 1.2269,
      "step": 8310
    },
    {
      "epoch": 0.46,
      "learning_rate": 0.0001746046811822548,
      "loss": 1.1305,
      "step": 8320
    },
    {
      "epoch": 0.46,
      "learning_rate": 0.00017456671538943413,
      "loss": 1.1337,
      "step": 8330
    },
    {
      "epoch": 0.46,
      "learning_rate": 0.00017452874959661345,
      "loss": 1.1664,
      "step": 8340
    },
    {
      "epoch": 0.46,
      "learning_rate": 0.0001744907838037928,
      "loss": 1.0228,
      "step": 8350
    },
    {
      "epoch": 0.46,
      "learning_rate": 0.00017445281801097213,
      "loss": 1.1606,
      "step": 8360
    },
    {
      "epoch": 0.46,
      "learning_rate": 0.00017441485221815145,
      "loss": 1.09,
      "step": 8370
    },
    {
      "epoch": 0.46,
      "learning_rate": 0.0001743768864253308,
      "loss": 1.1113,
      "step": 8380
    },
    {
      "epoch": 0.46,
      "learning_rate": 0.00017433892063251012,
      "loss": 1.2006,
      "step": 8390
    },
    {
      "epoch": 0.46,
      "learning_rate": 0.00017430095483968945,
      "loss": 1.0509,
      "step": 8400
    },
    {
      "epoch": 0.46,
      "learning_rate": 0.00017426298904686877,
      "loss": 1.2254,
      "step": 8410
    },
    {
      "epoch": 0.47,
      "learning_rate": 0.0001742250232540481,
      "loss": 1.1138,
      "step": 8420
    },
    {
      "epoch": 0.47,
      "learning_rate": 0.00017418705746122744,
      "loss": 1.1118,
      "step": 8430
    },
    {
      "epoch": 0.47,
      "learning_rate": 0.0001741490916684068,
      "loss": 1.1802,
      "step": 8440
    },
    {
      "epoch": 0.47,
      "learning_rate": 0.00017411112587558612,
      "loss": 1.0444,
      "step": 8450
    },
    {
      "epoch": 0.47,
      "learning_rate": 0.00017407316008276544,
      "loss": 1.2194,
      "step": 8460
    },
    {
      "epoch": 0.47,
      "learning_rate": 0.00017403519428994477,
      "loss": 1.1218,
      "step": 8470
    },
    {
      "epoch": 0.47,
      "learning_rate": 0.0001739972284971241,
      "loss": 1.1704,
      "step": 8480
    },
    {
      "epoch": 0.47,
      "learning_rate": 0.00017395926270430344,
      "loss": 1.1731,
      "step": 8490
    },
    {
      "epoch": 0.47,
      "learning_rate": 0.00017392129691148276,
      "loss": 1.0216,
      "step": 8500
    },
    {
      "epoch": 0.47,
      "learning_rate": 0.00017388333111866209,
      "loss": 1.2453,
      "step": 8510
    },
    {
      "epoch": 0.47,
      "learning_rate": 0.00017384536532584144,
      "loss": 1.1244,
      "step": 8520
    },
    {
      "epoch": 0.47,
      "learning_rate": 0.00017380739953302076,
      "loss": 1.1442,
      "step": 8530
    },
    {
      "epoch": 0.47,
      "learning_rate": 0.00017376943374020008,
      "loss": 1.1991,
      "step": 8540
    },
    {
      "epoch": 0.47,
      "learning_rate": 0.00017373146794737943,
      "loss": 1.0731,
      "step": 8550
    },
    {
      "epoch": 0.47,
      "learning_rate": 0.00017369350215455876,
      "loss": 1.2022,
      "step": 8560
    },
    {
      "epoch": 0.47,
      "learning_rate": 0.00017365553636173808,
      "loss": 1.0881,
      "step": 8570
    },
    {
      "epoch": 0.47,
      "learning_rate": 0.0001736175705689174,
      "loss": 1.1009,
      "step": 8580
    },
    {
      "epoch": 0.47,
      "learning_rate": 0.00017357960477609673,
      "loss": 1.1683,
      "step": 8590
    },
    {
      "epoch": 0.48,
      "learning_rate": 0.00017354163898327608,
      "loss": 1.0271,
      "step": 8600
    },
    {
      "epoch": 0.48,
      "learning_rate": 0.00017350367319045543,
      "loss": 1.1771,
      "step": 8610
    },
    {
      "epoch": 0.48,
      "learning_rate": 0.00017346570739763475,
      "loss": 1.1151,
      "step": 8620
    },
    {
      "epoch": 0.48,
      "learning_rate": 0.00017342774160481408,
      "loss": 1.1111,
      "step": 8630
    },
    {
      "epoch": 0.48,
      "learning_rate": 0.0001733897758119934,
      "loss": 1.2079,
      "step": 8640
    },
    {
      "epoch": 0.48,
      "learning_rate": 0.00017335181001917272,
      "loss": 1.0144,
      "step": 8650
    },
    {
      "epoch": 0.48,
      "learning_rate": 0.00017331384422635207,
      "loss": 1.1869,
      "step": 8660
    },
    {
      "epoch": 0.48,
      "learning_rate": 0.0001732758784335314,
      "loss": 1.0914,
      "step": 8670
    },
    {
      "epoch": 0.48,
      "learning_rate": 0.00017323791264071072,
      "loss": 1.1002,
      "step": 8680
    },
    {
      "epoch": 0.48,
      "learning_rate": 0.00017319994684789004,
      "loss": 1.1338,
      "step": 8690
    },
    {
      "epoch": 0.48,
      "learning_rate": 0.0001731619810550694,
      "loss": 1.0108,
      "step": 8700
    },
    {
      "epoch": 0.48,
      "learning_rate": 0.00017312401526224872,
      "loss": 1.1879,
      "step": 8710
    },
    {
      "epoch": 0.48,
      "learning_rate": 0.00017308604946942807,
      "loss": 1.1358,
      "step": 8720
    },
    {
      "epoch": 0.48,
      "learning_rate": 0.0001730480836766074,
      "loss": 1.0972,
      "step": 8730
    },
    {
      "epoch": 0.48,
      "learning_rate": 0.00017301011788378672,
      "loss": 1.1843,
      "step": 8740
    },
    {
      "epoch": 0.48,
      "learning_rate": 0.00017297215209096604,
      "loss": 1.0276,
      "step": 8750
    },
    {
      "epoch": 0.48,
      "learning_rate": 0.00017293418629814536,
      "loss": 1.2217,
      "step": 8760
    },
    {
      "epoch": 0.48,
      "learning_rate": 0.0001728962205053247,
      "loss": 1.0545,
      "step": 8770
    },
    {
      "epoch": 0.49,
      "learning_rate": 0.00017285825471250406,
      "loss": 1.0885,
      "step": 8780
    },
    {
      "epoch": 0.49,
      "learning_rate": 0.0001728202889196834,
      "loss": 1.152,
      "step": 8790
    },
    {
      "epoch": 0.49,
      "learning_rate": 0.0001727823231268627,
      "loss": 1.0541,
      "step": 8800
    },
    {
      "epoch": 0.49,
      "learning_rate": 0.00017274435733404203,
      "loss": 1.2015,
      "step": 8810
    },
    {
      "epoch": 0.49,
      "learning_rate": 0.00017270639154122136,
      "loss": 1.1192,
      "step": 8820
    },
    {
      "epoch": 0.49,
      "learning_rate": 0.0001726684257484007,
      "loss": 1.0976,
      "step": 8830
    },
    {
      "epoch": 0.49,
      "learning_rate": 0.00017263045995558003,
      "loss": 1.1027,
      "step": 8840
    },
    {
      "epoch": 0.49,
      "learning_rate": 0.00017259249416275935,
      "loss": 1.0673,
      "step": 8850
    },
    {
      "epoch": 0.49,
      "learning_rate": 0.00017255452836993868,
      "loss": 1.2016,
      "step": 8860
    },
    {
      "epoch": 0.49,
      "learning_rate": 0.00017251656257711803,
      "loss": 1.0708,
      "step": 8870
    },
    {
      "epoch": 0.49,
      "learning_rate": 0.00017247859678429735,
      "loss": 1.1211,
      "step": 8880
    },
    {
      "epoch": 0.49,
      "learning_rate": 0.0001724406309914767,
      "loss": 1.1354,
      "step": 8890
    },
    {
      "epoch": 0.49,
      "learning_rate": 0.00017240266519865603,
      "loss": 1.0757,
      "step": 8900
    },
    {
      "epoch": 0.49,
      "learning_rate": 0.00017236469940583535,
      "loss": 1.2318,
      "step": 8910
    },
    {
      "epoch": 0.49,
      "learning_rate": 0.00017232673361301467,
      "loss": 1.1231,
      "step": 8920
    },
    {
      "epoch": 0.49,
      "learning_rate": 0.000172288767820194,
      "loss": 1.1097,
      "step": 8930
    },
    {
      "epoch": 0.49,
      "learning_rate": 0.00017225080202737335,
      "loss": 1.1618,
      "step": 8940
    },
    {
      "epoch": 0.49,
      "learning_rate": 0.00017221283623455267,
      "loss": 1.0874,
      "step": 8950
    },
    {
      "epoch": 0.49,
      "learning_rate": 0.00017217487044173202,
      "loss": 1.2472,
      "step": 8960
    },
    {
      "epoch": 0.5,
      "learning_rate": 0.00017213690464891134,
      "loss": 1.131,
      "step": 8970
    },
    {
      "epoch": 0.5,
      "learning_rate": 0.00017209893885609067,
      "loss": 1.0906,
      "step": 8980
    },
    {
      "epoch": 0.5,
      "learning_rate": 0.00017206097306327,
      "loss": 1.132,
      "step": 8990
    },
    {
      "epoch": 0.5,
      "learning_rate": 0.00017202300727044934,
      "loss": 1.0318,
      "step": 9000
    },
    {
      "epoch": 0.5,
      "learning_rate": 0.00017198504147762866,
      "loss": 1.2357,
      "step": 9010
    },
    {
      "epoch": 0.5,
      "learning_rate": 0.000171947075684808,
      "loss": 1.067,
      "step": 9020
    },
    {
      "epoch": 0.5,
      "learning_rate": 0.0001719091098919873,
      "loss": 1.0932,
      "step": 9030
    },
    {
      "epoch": 0.5,
      "learning_rate": 0.00017187114409916666,
      "loss": 1.1658,
      "step": 9040
    },
    {
      "epoch": 0.5,
      "learning_rate": 0.00017183317830634599,
      "loss": 1.0291,
      "step": 9050
    },
    {
      "epoch": 0.5,
      "learning_rate": 0.00017179521251352534,
      "loss": 1.183,
      "step": 9060
    },
    {
      "epoch": 0.5,
      "learning_rate": 0.00017175724672070466,
      "loss": 1.1261,
      "step": 9070
    },
    {
      "epoch": 0.5,
      "learning_rate": 0.00017171928092788398,
      "loss": 1.1133,
      "step": 9080
    },
    {
      "epoch": 0.5,
      "learning_rate": 0.0001716813151350633,
      "loss": 1.2068,
      "step": 9090
    },
    {
      "epoch": 0.5,
      "learning_rate": 0.00017164334934224263,
      "loss": 1.0777,
      "step": 9100
    },
    {
      "epoch": 0.5,
      "learning_rate": 0.00017160538354942198,
      "loss": 1.2064,
      "step": 9110
    },
    {
      "epoch": 0.5,
      "learning_rate": 0.0001715674177566013,
      "loss": 1.1148,
      "step": 9120
    },
    {
      "epoch": 0.5,
      "learning_rate": 0.00017152945196378065,
      "loss": 1.1075,
      "step": 9130
    },
    {
      "epoch": 0.5,
      "learning_rate": 0.00017149148617095998,
      "loss": 1.2026,
      "step": 9140
    },
    {
      "epoch": 0.51,
      "learning_rate": 0.0001714535203781393,
      "loss": 1.0355,
      "step": 9150
    },
    {
      "epoch": 0.51,
      "learning_rate": 0.00017141555458531862,
      "loss": 1.1654,
      "step": 9160
    },
    {
      "epoch": 0.51,
      "learning_rate": 0.00017137758879249798,
      "loss": 1.1032,
      "step": 9170
    },
    {
      "epoch": 0.51,
      "learning_rate": 0.0001713396229996773,
      "loss": 1.1445,
      "step": 9180
    },
    {
      "epoch": 0.51,
      "learning_rate": 0.00017130165720685662,
      "loss": 1.205,
      "step": 9190
    },
    {
      "epoch": 0.51,
      "learning_rate": 0.00017126369141403595,
      "loss": 1.0083,
      "step": 9200
    },
    {
      "epoch": 0.51,
      "learning_rate": 0.00017122572562121527,
      "loss": 1.2079,
      "step": 9210
    },
    {
      "epoch": 0.51,
      "learning_rate": 0.00017118775982839465,
      "loss": 1.0913,
      "step": 9220
    },
    {
      "epoch": 0.51,
      "learning_rate": 0.00017114979403557397,
      "loss": 1.0892,
      "step": 9230
    },
    {
      "epoch": 0.51,
      "learning_rate": 0.0001711118282427533,
      "loss": 1.1518,
      "step": 9240
    },
    {
      "epoch": 0.51,
      "learning_rate": 0.00017107386244993262,
      "loss": 1.0212,
      "step": 9250
    },
    {
      "epoch": 0.51,
      "learning_rate": 0.00017103589665711194,
      "loss": 1.1316,
      "step": 9260
    },
    {
      "epoch": 0.51,
      "learning_rate": 0.0001709979308642913,
      "loss": 1.1017,
      "step": 9270
    },
    {
      "epoch": 0.51,
      "learning_rate": 0.00017095996507147061,
      "loss": 1.1198,
      "step": 9280
    },
    {
      "epoch": 0.51,
      "learning_rate": 0.00017092199927864994,
      "loss": 1.1801,
      "step": 9290
    },
    {
      "epoch": 0.51,
      "learning_rate": 0.0001708840334858293,
      "loss": 1.0817,
      "step": 9300
    },
    {
      "epoch": 0.51,
      "learning_rate": 0.0001708460676930086,
      "loss": 1.2189,
      "step": 9310
    },
    {
      "epoch": 0.51,
      "learning_rate": 0.00017080810190018794,
      "loss": 1.0838,
      "step": 9320
    },
    {
      "epoch": 0.52,
      "learning_rate": 0.00017077013610736729,
      "loss": 1.1358,
      "step": 9330
    },
    {
      "epoch": 0.52,
      "learning_rate": 0.0001707321703145466,
      "loss": 1.1816,
      "step": 9340
    },
    {
      "epoch": 0.52,
      "learning_rate": 0.00017069420452172593,
      "loss": 1.0447,
      "step": 9350
    },
    {
      "epoch": 0.52,
      "learning_rate": 0.00017065623872890526,
      "loss": 1.1844,
      "step": 9360
    },
    {
      "epoch": 0.52,
      "learning_rate": 0.00017061827293608458,
      "loss": 1.1397,
      "step": 9370
    },
    {
      "epoch": 0.52,
      "learning_rate": 0.00017058030714326393,
      "loss": 1.1515,
      "step": 9380
    },
    {
      "epoch": 0.52,
      "learning_rate": 0.00017054234135044328,
      "loss": 1.1859,
      "step": 9390
    },
    {
      "epoch": 0.52,
      "learning_rate": 0.0001705043755576226,
      "loss": 1.0596,
      "step": 9400
    },
    {
      "epoch": 0.52,
      "learning_rate": 0.00017046640976480193,
      "loss": 1.1949,
      "step": 9410
    },
    {
      "epoch": 0.52,
      "learning_rate": 0.00017042844397198125,
      "loss": 1.0483,
      "step": 9420
    },
    {
      "epoch": 0.52,
      "learning_rate": 0.00017039047817916057,
      "loss": 1.1605,
      "step": 9430
    },
    {
      "epoch": 0.52,
      "learning_rate": 0.00017035251238633993,
      "loss": 1.2048,
      "step": 9440
    },
    {
      "epoch": 0.52,
      "learning_rate": 0.00017031454659351925,
      "loss": 1.0345,
      "step": 9450
    },
    {
      "epoch": 0.52,
      "learning_rate": 0.00017027658080069857,
      "loss": 1.2459,
      "step": 9460
    },
    {
      "epoch": 0.52,
      "learning_rate": 0.0001702386150078779,
      "loss": 1.0672,
      "step": 9470
    },
    {
      "epoch": 0.52,
      "learning_rate": 0.00017020064921505725,
      "loss": 1.097,
      "step": 9480
    },
    {
      "epoch": 0.52,
      "learning_rate": 0.00017016268342223657,
      "loss": 1.2101,
      "step": 9490
    },
    {
      "epoch": 0.52,
      "learning_rate": 0.00017012471762941592,
      "loss": 1.0143,
      "step": 9500
    },
    {
      "epoch": 0.53,
      "learning_rate": 0.00017008675183659524,
      "loss": 1.2034,
      "step": 9510
    },
    {
      "epoch": 0.53,
      "learning_rate": 0.00017004878604377457,
      "loss": 1.0942,
      "step": 9520
    },
    {
      "epoch": 0.53,
      "learning_rate": 0.0001700108202509539,
      "loss": 1.09,
      "step": 9530
    },
    {
      "epoch": 0.53,
      "learning_rate": 0.00016997285445813321,
      "loss": 1.1249,
      "step": 9540
    },
    {
      "epoch": 0.53,
      "learning_rate": 0.00016993488866531256,
      "loss": 1.0765,
      "step": 9550
    },
    {
      "epoch": 0.53,
      "learning_rate": 0.00016989692287249191,
      "loss": 1.206,
      "step": 9560
    },
    {
      "epoch": 0.53,
      "learning_rate": 0.00016985895707967124,
      "loss": 1.1043,
      "step": 9570
    },
    {
      "epoch": 0.53,
      "learning_rate": 0.00016982099128685056,
      "loss": 1.1091,
      "step": 9580
    },
    {
      "epoch": 0.53,
      "learning_rate": 0.00016978302549402989,
      "loss": 1.1638,
      "step": 9590
    },
    {
      "epoch": 0.53,
      "learning_rate": 0.0001697450597012092,
      "loss": 1.0236,
      "step": 9600
    },
    {
      "epoch": 0.53,
      "learning_rate": 0.00016970709390838856,
      "loss": 1.1924,
      "step": 9610
    },
    {
      "epoch": 0.53,
      "learning_rate": 0.00016966912811556788,
      "loss": 1.0758,
      "step": 9620
    },
    {
      "epoch": 0.53,
      "learning_rate": 0.0001696311623227472,
      "loss": 1.1459,
      "step": 9630
    },
    {
      "epoch": 0.53,
      "learning_rate": 0.00016959319652992653,
      "loss": 1.1309,
      "step": 9640
    },
    {
      "epoch": 0.53,
      "learning_rate": 0.00016955523073710588,
      "loss": 1.1036,
      "step": 9650
    },
    {
      "epoch": 0.53,
      "learning_rate": 0.0001695172649442852,
      "loss": 1.1954,
      "step": 9660
    },
    {
      "epoch": 0.53,
      "learning_rate": 0.00016947929915146455,
      "loss": 1.0518,
      "step": 9670
    },
    {
      "epoch": 0.53,
      "learning_rate": 0.00016944133335864388,
      "loss": 1.1108,
      "step": 9680
    },
    {
      "epoch": 0.54,
      "learning_rate": 0.0001694033675658232,
      "loss": 1.1727,
      "step": 9690
    },
    {
      "epoch": 0.54,
      "learning_rate": 0.00016936540177300252,
      "loss": 1.043,
      "step": 9700
    },
    {
      "epoch": 0.54,
      "learning_rate": 0.00016932743598018185,
      "loss": 1.1429,
      "step": 9710
    },
    {
      "epoch": 0.54,
      "learning_rate": 0.0001692894701873612,
      "loss": 1.0893,
      "step": 9720
    },
    {
      "epoch": 0.54,
      "learning_rate": 0.00016925150439454052,
      "loss": 1.0873,
      "step": 9730
    },
    {
      "epoch": 0.54,
      "learning_rate": 0.00016921353860171987,
      "loss": 1.1595,
      "step": 9740
    },
    {
      "epoch": 0.54,
      "learning_rate": 0.0001691755728088992,
      "loss": 1.0543,
      "step": 9750
    },
    {
      "epoch": 0.54,
      "learning_rate": 0.00016913760701607852,
      "loss": 1.2044,
      "step": 9760
    },
    {
      "epoch": 0.54,
      "learning_rate": 0.00016909964122325784,
      "loss": 1.1167,
      "step": 9770
    },
    {
      "epoch": 0.54,
      "learning_rate": 0.0001690616754304372,
      "loss": 1.1231,
      "step": 9780
    },
    {
      "epoch": 0.54,
      "learning_rate": 0.00016902370963761652,
      "loss": 1.1408,
      "step": 9790
    },
    {
      "epoch": 0.54,
      "learning_rate": 0.00016898574384479584,
      "loss": 1.0285,
      "step": 9800
    },
    {
      "epoch": 0.54,
      "learning_rate": 0.00016894777805197516,
      "loss": 1.2118,
      "step": 9810
    },
    {
      "epoch": 0.54,
      "learning_rate": 0.00016890981225915451,
      "loss": 1.0846,
      "step": 9820
    },
    {
      "epoch": 0.54,
      "learning_rate": 0.00016887184646633384,
      "loss": 1.1582,
      "step": 9830
    },
    {
      "epoch": 0.54,
      "learning_rate": 0.0001688338806735132,
      "loss": 1.1556,
      "step": 9840
    },
    {
      "epoch": 0.54,
      "learning_rate": 0.0001687959148806925,
      "loss": 1.0019,
      "step": 9850
    },
    {
      "epoch": 0.54,
      "learning_rate": 0.00016875794908787183,
      "loss": 1.1901,
      "step": 9860
    },
    {
      "epoch": 0.55,
      "learning_rate": 0.00016871998329505116,
      "loss": 1.1013,
      "step": 9870
    },
    {
      "epoch": 0.55,
      "learning_rate": 0.00016868201750223048,
      "loss": 1.1148,
      "step": 9880
    },
    {
      "epoch": 0.55,
      "learning_rate": 0.00016864405170940983,
      "loss": 1.1592,
      "step": 9890
    },
    {
      "epoch": 0.55,
      "learning_rate": 0.00016860608591658916,
      "loss": 1.0152,
      "step": 9900
    },
    {
      "epoch": 0.55,
      "learning_rate": 0.0001685681201237685,
      "loss": 1.1935,
      "step": 9910
    },
    {
      "epoch": 0.55,
      "learning_rate": 0.00016853015433094783,
      "loss": 1.1219,
      "step": 9920
    },
    {
      "epoch": 0.55,
      "learning_rate": 0.00016849218853812715,
      "loss": 1.0601,
      "step": 9930
    },
    {
      "epoch": 0.55,
      "learning_rate": 0.00016845422274530648,
      "loss": 1.1514,
      "step": 9940
    },
    {
      "epoch": 0.55,
      "learning_rate": 0.00016841625695248583,
      "loss": 0.9967,
      "step": 9950
    },
    {
      "epoch": 0.55,
      "learning_rate": 0.00016837829115966515,
      "loss": 1.1804,
      "step": 9960
    },
    {
      "epoch": 0.55,
      "learning_rate": 0.00016834032536684447,
      "loss": 1.106,
      "step": 9970
    },
    {
      "epoch": 0.55,
      "learning_rate": 0.0001683023595740238,
      "loss": 1.1105,
      "step": 9980
    },
    {
      "epoch": 0.55,
      "learning_rate": 0.00016826439378120312,
      "loss": 1.1945,
      "step": 9990
    },
    {
      "epoch": 0.55,
      "learning_rate": 0.00016822642798838247,
      "loss": 1.0313,
      "step": 10000
    },
    {
      "epoch": 0.55,
      "eval_loss": 1.093135952949524,
      "eval_runtime": 1.9627,
      "eval_samples_per_second": 50.95,
      "eval_steps_per_second": 6.624,
      "step": 10000
    },
    {
      "epoch": 0.55,
      "mmlu_eval_accuracy": NaN,
      "mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453,
      "mmlu_eval_accuracy_anatomy": 0.35714285714285715,
      "mmlu_eval_accuracy_astronomy": 0.125,
      "mmlu_eval_accuracy_business_ethics": 0.6363636363636364,
      "mmlu_eval_accuracy_clinical_knowledge": 0.41379310344827586,
      "mmlu_eval_accuracy_college_biology": 0.75,
      "mmlu_eval_accuracy_college_chemistry": 0.875,
      "mmlu_eval_accuracy_college_computer_science": 0.6363636363636364,
      "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
      "mmlu_eval_accuracy_college_medicine": 0.5454545454545454,
      "mmlu_eval_accuracy_college_physics": 0.18181818181818182,
      "mmlu_eval_accuracy_computer_security": 0.45454545454545453,
      "mmlu_eval_accuracy_conceptual_physics": 0.47619047619047616,
      "mmlu_eval_accuracy_econometrics": NaN,
      "mmlu_eval_accuracy_electrical_engineering": NaN,
      "mmlu_eval_accuracy_elementary_mathematics": NaN,
      "mmlu_eval_accuracy_formal_logic": NaN,
      "mmlu_eval_accuracy_global_facts": NaN,
      "mmlu_eval_accuracy_high_school_biology": NaN,
      "mmlu_eval_accuracy_high_school_chemistry": NaN,
      "mmlu_eval_accuracy_high_school_computer_science": NaN,
      "mmlu_eval_accuracy_high_school_european_history": NaN,
      "mmlu_eval_accuracy_high_school_geography": NaN,
      "mmlu_eval_accuracy_high_school_government_and_politics": NaN,
      "mmlu_eval_accuracy_high_school_macroeconomics": NaN,
      "mmlu_eval_accuracy_high_school_mathematics": NaN,
      "mmlu_eval_accuracy_high_school_microeconomics": NaN,
      "mmlu_eval_accuracy_high_school_physics": NaN,
      "mmlu_eval_accuracy_high_school_psychology": NaN,
      "mmlu_eval_accuracy_high_school_statistics": NaN,
      "mmlu_eval_accuracy_high_school_us_history": NaN,
      "mmlu_eval_accuracy_high_school_world_history": NaN,
      "mmlu_eval_accuracy_human_aging": NaN,
      "mmlu_eval_accuracy_human_sexuality": NaN,
      "mmlu_eval_accuracy_international_law": NaN,
      "mmlu_eval_accuracy_jurisprudence": NaN,
      "mmlu_eval_accuracy_logical_fallacies": NaN,
      "mmlu_eval_accuracy_machine_learning": NaN,
      "mmlu_eval_accuracy_management": NaN,
      "mmlu_eval_accuracy_marketing": NaN,
      "mmlu_eval_accuracy_medical_genetics": NaN,
      "mmlu_eval_accuracy_miscellaneous": NaN,
      "mmlu_eval_accuracy_moral_disputes": NaN,
      "mmlu_eval_accuracy_moral_scenarios": NaN,
      "mmlu_eval_accuracy_nutrition": NaN,
      "mmlu_eval_accuracy_philosophy": NaN,
      "mmlu_eval_accuracy_prehistory": NaN,
      "mmlu_eval_accuracy_professional_accounting": NaN,
      "mmlu_eval_accuracy_professional_law": NaN,
      "mmlu_eval_accuracy_professional_medicine": NaN,
      "mmlu_eval_accuracy_professional_psychology": NaN,
      "mmlu_eval_accuracy_public_relations": NaN,
      "mmlu_eval_accuracy_security_studies": NaN,
      "mmlu_eval_accuracy_sociology": NaN,
      "mmlu_eval_accuracy_us_foreign_policy": NaN,
      "mmlu_eval_accuracy_virology": NaN,
      "mmlu_eval_accuracy_world_religions": NaN,
      "mmlu_loss": 0.9934630032318333,
      "step": 10000
    },
    {
      "epoch": 0.55,
      "learning_rate": 0.00016818846219556182,
      "loss": 1.2753,
      "step": 10010
    },
    {
      "epoch": 0.55,
      "learning_rate": 0.00016815049640274115,
      "loss": 1.0814,
      "step": 10020
    },
    {
      "epoch": 0.55,
      "learning_rate": 0.00016811253060992047,
      "loss": 1.0591,
      "step": 10030
    },
    {
      "epoch": 0.55,
      "learning_rate": 0.0001680745648170998,
      "loss": 1.1769,
      "step": 10040
    },
    {
      "epoch": 0.56,
      "learning_rate": 0.00016803659902427912,
      "loss": 1.0637,
      "step": 10050
    },
    {
      "epoch": 0.56,
      "learning_rate": 0.00016799863323145847,
      "loss": 1.1419,
      "step": 10060
    },
    {
      "epoch": 0.56,
      "learning_rate": 0.0001679606674386378,
      "loss": 1.1077,
      "step": 10070
    },
    {
      "epoch": 0.56,
      "learning_rate": 0.00016792270164581714,
      "loss": 1.1202,
      "step": 10080
    },
    {
      "epoch": 0.56,
      "learning_rate": 0.00016788473585299646,
      "loss": 1.1092,
      "step": 10090
    },
    {
      "epoch": 0.56,
      "learning_rate": 0.0001678467700601758,
      "loss": 1.0123,
      "step": 10100
    },
    {
      "epoch": 0.56,
      "learning_rate": 0.00016780880426735514,
      "loss": 1.1836,
      "step": 10110
    },
    {
      "epoch": 0.56,
      "learning_rate": 0.00016777083847453446,
      "loss": 1.0693,
      "step": 10120
    },
    {
      "epoch": 0.56,
      "learning_rate": 0.00016773287268171378,
      "loss": 1.082,
      "step": 10130
    },
    {
      "epoch": 0.56,
      "learning_rate": 0.0001676949068888931,
      "loss": 1.1454,
      "step": 10140
    },
    {
      "epoch": 0.56,
      "learning_rate": 0.00016765694109607243,
      "loss": 1.0528,
      "step": 10150
    },
    {
      "epoch": 0.56,
      "learning_rate": 0.00016761897530325178,
      "loss": 1.1933,
      "step": 10160
    },
    {
      "epoch": 0.56,
      "learning_rate": 0.00016758100951043113,
      "loss": 1.1221,
      "step": 10170
    },
    {
      "epoch": 0.56,
      "learning_rate": 0.00016754304371761046,
      "loss": 1.117,
      "step": 10180
    },
    {
      "epoch": 0.56,
      "learning_rate": 0.00016750507792478978,
      "loss": 1.1451,
      "step": 10190
    },
    {
      "epoch": 0.56,
      "learning_rate": 0.0001674671121319691,
      "loss": 1.0643,
      "step": 10200
    },
    {
      "epoch": 0.56,
      "learning_rate": 0.00016742914633914843,
      "loss": 1.2249,
      "step": 10210
    },
    {
      "epoch": 0.56,
      "learning_rate": 0.00016739118054632778,
      "loss": 1.115,
      "step": 10220
    },
    {
      "epoch": 0.57,
      "learning_rate": 0.0001673532147535071,
      "loss": 1.0937,
      "step": 10230
    },
    {
      "epoch": 0.57,
      "learning_rate": 0.00016731524896068642,
      "loss": 1.1612,
      "step": 10240
    },
    {
      "epoch": 0.57,
      "learning_rate": 0.00016727728316786575,
      "loss": 1.0649,
      "step": 10250
    },
    {
      "epoch": 0.57,
      "learning_rate": 0.0001672393173750451,
      "loss": 1.2074,
      "step": 10260
    },
    {
      "epoch": 0.57,
      "learning_rate": 0.00016720135158222442,
      "loss": 1.0892,
      "step": 10270
    },
    {
      "epoch": 0.57,
      "learning_rate": 0.00016716338578940377,
      "loss": 1.1302,
      "step": 10280
    },
    {
      "epoch": 0.57,
      "learning_rate": 0.0001671254199965831,
      "loss": 1.1513,
      "step": 10290
    },
    {
      "epoch": 0.57,
      "learning_rate": 0.00016708745420376242,
      "loss": 1.0549,
      "step": 10300
    },
    {
      "epoch": 0.57,
      "learning_rate": 0.00016704948841094174,
      "loss": 1.2296,
      "step": 10310
    },
    {
      "epoch": 0.57,
      "learning_rate": 0.00016701152261812107,
      "loss": 1.0671,
      "step": 10320
    },
    {
      "epoch": 0.57,
      "learning_rate": 0.00016697355682530042,
      "loss": 1.1102,
      "step": 10330
    },
    {
      "epoch": 0.57,
      "learning_rate": 0.00016693559103247977,
      "loss": 1.1001,
      "step": 10340
    },
    {
      "epoch": 0.57,
      "learning_rate": 0.0001668976252396591,
      "loss": 1.0419,
      "step": 10350
    },
    {
      "epoch": 0.57,
      "learning_rate": 0.0001668596594468384,
      "loss": 1.2167,
      "step": 10360
    },
    {
      "epoch": 0.57,
      "learning_rate": 0.00016682169365401774,
      "loss": 1.1062,
      "step": 10370
    },
    {
      "epoch": 0.57,
      "learning_rate": 0.00016678372786119706,
      "loss": 1.0865,
      "step": 10380
    },
    {
      "epoch": 0.57,
      "learning_rate": 0.0001667457620683764,
      "loss": 1.1414,
      "step": 10390
    },
    {
      "epoch": 0.57,
      "learning_rate": 0.00016670779627555573,
      "loss": 1.0388,
      "step": 10400
    },
    {
      "epoch": 0.58,
      "learning_rate": 0.00016666983048273506,
      "loss": 1.1287,
      "step": 10410
    },
    {
      "epoch": 0.58,
      "learning_rate": 0.00016663186468991438,
      "loss": 1.0894,
      "step": 10420
    },
    {
      "epoch": 0.58,
      "learning_rate": 0.00016659389889709373,
      "loss": 1.1156,
      "step": 10430
    },
    {
      "epoch": 0.58,
      "learning_rate": 0.00016655593310427306,
      "loss": 1.1405,
      "step": 10440
    },
    {
      "epoch": 0.58,
      "learning_rate": 0.0001665179673114524,
      "loss": 1.0181,
      "step": 10450
    },
    {
      "epoch": 0.58,
      "learning_rate": 0.00016648000151863173,
      "loss": 1.1604,
      "step": 10460
    },
    {
      "epoch": 0.58,
      "learning_rate": 0.00016644203572581105,
      "loss": 1.0799,
      "step": 10470
    },
    {
      "epoch": 0.58,
      "learning_rate": 0.00016640406993299038,
      "loss": 1.1437,
      "step": 10480
    },
    {
      "epoch": 0.58,
      "learning_rate": 0.0001663661041401697,
      "loss": 1.1852,
      "step": 10490
    },
    {
      "epoch": 0.58,
      "learning_rate": 0.00016632813834734905,
      "loss": 1.0712,
      "step": 10500
    },
    {
      "epoch": 0.58,
      "learning_rate": 0.00016629017255452837,
      "loss": 1.1855,
      "step": 10510
    },
    {
      "epoch": 0.58,
      "learning_rate": 0.00016625220676170772,
      "loss": 1.1211,
      "step": 10520
    },
    {
      "epoch": 0.58,
      "learning_rate": 0.00016621424096888705,
      "loss": 1.0731,
      "step": 10530
    },
    {
      "epoch": 0.58,
      "learning_rate": 0.00016617627517606637,
      "loss": 1.1385,
      "step": 10540
    },
    {
      "epoch": 0.58,
      "learning_rate": 0.0001661383093832457,
      "loss": 1.0333,
      "step": 10550
    },
    {
      "epoch": 0.58,
      "learning_rate": 0.00016610034359042504,
      "loss": 1.2008,
      "step": 10560
    },
    {
      "epoch": 0.58,
      "learning_rate": 0.00016606237779760437,
      "loss": 1.0792,
      "step": 10570
    },
    {
      "epoch": 0.58,
      "learning_rate": 0.0001660244120047837,
      "loss": 1.1494,
      "step": 10580
    },
    {
      "epoch": 0.58,
      "learning_rate": 0.00016598644621196302,
      "loss": 1.1602,
      "step": 10590
    },
    {
      "epoch": 0.59,
      "learning_rate": 0.00016594848041914237,
      "loss": 1.0484,
      "step": 10600
    },
    {
      "epoch": 0.59,
      "learning_rate": 0.0001659105146263217,
      "loss": 1.2558,
      "step": 10610
    },
    {
      "epoch": 0.59,
      "learning_rate": 0.00016587254883350104,
      "loss": 1.0949,
      "step": 10620
    },
    {
      "epoch": 0.59,
      "learning_rate": 0.00016583458304068036,
      "loss": 1.1117,
      "step": 10630
    },
    {
      "epoch": 0.59,
      "learning_rate": 0.00016579661724785969,
      "loss": 1.1609,
      "step": 10640
    },
    {
      "epoch": 0.59,
      "learning_rate": 0.000165758651455039,
      "loss": 1.0533,
      "step": 10650
    },
    {
      "epoch": 0.59,
      "learning_rate": 0.00016572068566221833,
      "loss": 1.2188,
      "step": 10660
    },
    {
      "epoch": 0.59,
      "learning_rate": 0.00016568271986939768,
      "loss": 1.0741,
      "step": 10670
    },
    {
      "epoch": 0.59,
      "learning_rate": 0.000165644754076577,
      "loss": 1.0587,
      "step": 10680
    },
    {
      "epoch": 0.59,
      "learning_rate": 0.00016560678828375636,
      "loss": 1.1442,
      "step": 10690
    },
    {
      "epoch": 0.59,
      "learning_rate": 0.00016556882249093568,
      "loss": 1.0176,
      "step": 10700
    },
    {
      "epoch": 0.59,
      "learning_rate": 0.000165530856698115,
      "loss": 1.1438,
      "step": 10710
    },
    {
      "epoch": 0.59,
      "learning_rate": 0.00016549289090529433,
      "loss": 1.1068,
      "step": 10720
    },
    {
      "epoch": 0.59,
      "learning_rate": 0.00016545492511247368,
      "loss": 1.1599,
      "step": 10730
    },
    {
      "epoch": 0.59,
      "learning_rate": 0.000165416959319653,
      "loss": 1.1086,
      "step": 10740
    },
    {
      "epoch": 0.59,
      "learning_rate": 0.00016537899352683233,
      "loss": 1.017,
      "step": 10750
    },
    {
      "epoch": 0.59,
      "learning_rate": 0.00016534102773401165,
      "loss": 1.1783,
      "step": 10760
    },
    {
      "epoch": 0.59,
      "learning_rate": 0.00016530306194119097,
      "loss": 1.0951,
      "step": 10770
    },
    {
      "epoch": 0.6,
      "learning_rate": 0.00016526509614837032,
      "loss": 1.1006,
      "step": 10780
    },
    {
      "epoch": 0.6,
      "learning_rate": 0.00016522713035554967,
      "loss": 1.1423,
      "step": 10790
    },
    {
      "epoch": 0.6,
      "learning_rate": 0.000165189164562729,
      "loss": 1.0442,
      "step": 10800
    },
    {
      "epoch": 0.6,
      "learning_rate": 0.00016515119876990832,
      "loss": 1.1991,
      "step": 10810
    },
    {
      "epoch": 0.6,
      "learning_rate": 0.00016511323297708764,
      "loss": 1.0897,
      "step": 10820
    },
    {
      "epoch": 0.6,
      "learning_rate": 0.00016507526718426697,
      "loss": 1.1232,
      "step": 10830
    },
    {
      "epoch": 0.6,
      "learning_rate": 0.00016503730139144632,
      "loss": 1.1423,
      "step": 10840
    },
    {
      "epoch": 0.6,
      "learning_rate": 0.00016499933559862564,
      "loss": 1.0857,
      "step": 10850
    },
    {
      "epoch": 0.6,
      "learning_rate": 0.000164961369805805,
      "loss": 1.1523,
      "step": 10860
    },
    {
      "epoch": 0.6,
      "learning_rate": 0.00016492340401298432,
      "loss": 1.0755,
      "step": 10870
    },
    {
      "epoch": 0.6,
      "learning_rate": 0.00016488543822016364,
      "loss": 1.1343,
      "step": 10880
    },
    {
      "epoch": 0.6,
      "learning_rate": 0.00016484747242734296,
      "loss": 1.1869,
      "step": 10890
    },
    {
      "epoch": 0.6,
      "learning_rate": 0.0001648095066345223,
      "loss": 0.9949,
      "step": 10900
    },
    {
      "epoch": 0.6,
      "learning_rate": 0.00016477154084170164,
      "loss": 1.1829,
      "step": 10910
    },
    {
      "epoch": 0.6,
      "learning_rate": 0.00016473357504888096,
      "loss": 1.066,
      "step": 10920
    },
    {
      "epoch": 0.6,
      "learning_rate": 0.00016469560925606028,
      "loss": 1.1363,
      "step": 10930
    },
    {
      "epoch": 0.6,
      "learning_rate": 0.0001646576434632396,
      "loss": 1.1399,
      "step": 10940
    },
    {
      "epoch": 0.6,
      "learning_rate": 0.00016461967767041896,
      "loss": 1.0054,
      "step": 10950
    },
    {
      "epoch": 0.61,
      "learning_rate": 0.0001645817118775983,
      "loss": 1.1933,
      "step": 10960
    },
    {
      "epoch": 0.61,
      "learning_rate": 0.00016454374608477763,
      "loss": 1.081,
      "step": 10970
    },
    {
      "epoch": 0.61,
      "learning_rate": 0.00016450578029195695,
      "loss": 1.1207,
      "step": 10980
    },
    {
      "epoch": 0.61,
      "learning_rate": 0.00016446781449913628,
      "loss": 1.1576,
      "step": 10990
    },
    {
      "epoch": 0.61,
      "learning_rate": 0.0001644298487063156,
      "loss": 1.0303,
      "step": 11000
    },
    {
      "epoch": 0.61,
      "learning_rate": 0.00016439188291349495,
      "loss": 1.2308,
      "step": 11010
    },
    {
      "epoch": 0.61,
      "learning_rate": 0.00016435391712067428,
      "loss": 1.0759,
      "step": 11020
    },
    {
      "epoch": 0.61,
      "learning_rate": 0.0001643159513278536,
      "loss": 1.1499,
      "step": 11030
    },
    {
      "epoch": 0.61,
      "learning_rate": 0.00016427798553503295,
      "loss": 1.2058,
      "step": 11040
    },
    {
      "epoch": 0.61,
      "learning_rate": 0.00016424001974221227,
      "loss": 1.0445,
      "step": 11050
    },
    {
      "epoch": 0.61,
      "learning_rate": 0.00016420205394939162,
      "loss": 1.1934,
      "step": 11060
    },
    {
      "epoch": 0.61,
      "learning_rate": 0.00016416408815657095,
      "loss": 1.0907,
      "step": 11070
    },
    {
      "epoch": 0.61,
      "learning_rate": 0.00016412612236375027,
      "loss": 1.083,
      "step": 11080
    },
    {
      "epoch": 0.61,
      "learning_rate": 0.0001640881565709296,
      "loss": 1.1749,
      "step": 11090
    },
    {
      "epoch": 0.61,
      "learning_rate": 0.00016405019077810892,
      "loss": 1.0066,
      "step": 11100
    },
    {
      "epoch": 0.61,
      "learning_rate": 0.00016401222498528827,
      "loss": 1.1799,
      "step": 11110
    },
    {
      "epoch": 0.61,
      "learning_rate": 0.00016397425919246762,
      "loss": 1.0522,
      "step": 11120
    },
    {
      "epoch": 0.61,
      "learning_rate": 0.00016393629339964694,
      "loss": 1.0808,
      "step": 11130
    },
    {
      "epoch": 0.62,
      "learning_rate": 0.00016389832760682626,
      "loss": 1.2018,
      "step": 11140
    },
    {
      "epoch": 0.62,
      "learning_rate": 0.0001638603618140056,
      "loss": 1.0684,
      "step": 11150
    },
    {
      "epoch": 0.62,
      "learning_rate": 0.0001638223960211849,
      "loss": 1.1679,
      "step": 11160
    },
    {
      "epoch": 0.62,
      "learning_rate": 0.00016378443022836426,
      "loss": 1.0899,
      "step": 11170
    },
    {
      "epoch": 0.62,
      "learning_rate": 0.00016374646443554359,
      "loss": 1.0833,
      "step": 11180
    },
    {
      "epoch": 0.62,
      "learning_rate": 0.0001637084986427229,
      "loss": 1.182,
      "step": 11190
    },
    {
      "epoch": 0.62,
      "learning_rate": 0.00016367053284990223,
      "loss": 1.0758,
      "step": 11200
    },
    {
      "epoch": 0.62,
      "learning_rate": 0.00016363256705708158,
      "loss": 1.1437,
      "step": 11210
    },
    {
      "epoch": 0.62,
      "learning_rate": 0.0001635946012642609,
      "loss": 1.1106,
      "step": 11220
    },
    {
      "epoch": 0.62,
      "learning_rate": 0.00016355663547144026,
      "loss": 1.1053,
      "step": 11230
    },
    {
      "epoch": 0.62,
      "learning_rate": 0.00016351866967861958,
      "loss": 1.1546,
      "step": 11240
    },
    {
      "epoch": 0.62,
      "learning_rate": 0.0001634807038857989,
      "loss": 1.0076,
      "step": 11250
    },
    {
      "epoch": 0.62,
      "learning_rate": 0.00016344273809297823,
      "loss": 1.1533,
      "step": 11260
    },
    {
      "epoch": 0.62,
      "learning_rate": 0.00016340477230015755,
      "loss": 1.119,
      "step": 11270
    },
    {
      "epoch": 0.62,
      "learning_rate": 0.0001633668065073369,
      "loss": 1.1071,
      "step": 11280
    },
    {
      "epoch": 0.62,
      "learning_rate": 0.00016332884071451622,
      "loss": 1.1484,
      "step": 11290
    },
    {
      "epoch": 0.62,
      "learning_rate": 0.00016329087492169558,
      "loss": 1.0669,
      "step": 11300
    },
    {
      "epoch": 0.62,
      "learning_rate": 0.0001632529091288749,
      "loss": 1.2377,
      "step": 11310
    },
    {
      "epoch": 0.63,
      "learning_rate": 0.00016321494333605422,
      "loss": 1.064,
      "step": 11320
    },
    {
      "epoch": 0.63,
      "learning_rate": 0.00016317697754323355,
      "loss": 1.0834,
      "step": 11330
    },
    {
      "epoch": 0.63,
      "learning_rate": 0.0001631390117504129,
      "loss": 1.1403,
      "step": 11340
    },
    {
      "epoch": 0.63,
      "learning_rate": 0.00016310104595759222,
      "loss": 1.0699,
      "step": 11350
    },
    {
      "epoch": 0.63,
      "learning_rate": 0.00016306308016477154,
      "loss": 1.1507,
      "step": 11360
    },
    {
      "epoch": 0.63,
      "learning_rate": 0.00016302511437195087,
      "loss": 1.0728,
      "step": 11370
    },
    {
      "epoch": 0.63,
      "learning_rate": 0.00016298714857913022,
      "loss": 1.0695,
      "step": 11380
    },
    {
      "epoch": 0.63,
      "learning_rate": 0.00016294918278630954,
      "loss": 1.1562,
      "step": 11390
    },
    {
      "epoch": 0.63,
      "learning_rate": 0.0001629112169934889,
      "loss": 1.0224,
      "step": 11400
    },
    {
      "epoch": 0.63,
      "learning_rate": 0.00016287325120066821,
      "loss": 1.1824,
      "step": 11410
    },
    {
      "epoch": 0.63,
      "learning_rate": 0.00016283528540784754,
      "loss": 1.1097,
      "step": 11420
    },
    {
      "epoch": 0.63,
      "learning_rate": 0.00016279731961502686,
      "loss": 1.0889,
      "step": 11430
    },
    {
      "epoch": 0.63,
      "learning_rate": 0.00016275935382220618,
      "loss": 1.1409,
      "step": 11440
    },
    {
      "epoch": 0.63,
      "learning_rate": 0.00016272138802938554,
      "loss": 1.0545,
      "step": 11450
    },
    {
      "epoch": 0.63,
      "learning_rate": 0.00016268342223656486,
      "loss": 1.2208,
      "step": 11460
    },
    {
      "epoch": 0.63,
      "learning_rate": 0.0001626454564437442,
      "loss": 1.104,
      "step": 11470
    },
    {
      "epoch": 0.63,
      "learning_rate": 0.00016260749065092353,
      "loss": 1.1207,
      "step": 11480
    },
    {
      "epoch": 0.63,
      "learning_rate": 0.00016256952485810286,
      "loss": 1.1701,
      "step": 11490
    },
    {
      "epoch": 0.64,
      "learning_rate": 0.00016253155906528218,
      "loss": 1.0237,
      "step": 11500
    },
    {
      "epoch": 0.64,
      "learning_rate": 0.00016249359327246153,
      "loss": 1.2081,
      "step": 11510
    },
    {
      "epoch": 0.64,
      "learning_rate": 0.00016245562747964085,
      "loss": 1.1031,
      "step": 11520
    },
    {
      "epoch": 0.64,
      "learning_rate": 0.00016241766168682018,
      "loss": 1.0649,
      "step": 11530
    },
    {
      "epoch": 0.64,
      "learning_rate": 0.0001623796958939995,
      "loss": 1.1853,
      "step": 11540
    },
    {
      "epoch": 0.64,
      "learning_rate": 0.00016234173010117882,
      "loss": 1.0277,
      "step": 11550
    },
    {
      "epoch": 0.64,
      "learning_rate": 0.00016230376430835817,
      "loss": 1.133,
      "step": 11560
    },
    {
      "epoch": 0.64,
      "learning_rate": 0.00016226579851553753,
      "loss": 1.1233,
      "step": 11570
    },
    {
      "epoch": 0.64,
      "learning_rate": 0.00016222783272271685,
      "loss": 1.0954,
      "step": 11580
    },
    {
      "epoch": 0.64,
      "learning_rate": 0.00016218986692989617,
      "loss": 1.1522,
      "step": 11590
    },
    {
      "epoch": 0.64,
      "learning_rate": 0.0001621519011370755,
      "loss": 1.0041,
      "step": 11600
    },
    {
      "epoch": 0.64,
      "learning_rate": 0.00016211393534425482,
      "loss": 1.1471,
      "step": 11610
    },
    {
      "epoch": 0.64,
      "learning_rate": 0.00016207596955143417,
      "loss": 1.0746,
      "step": 11620
    },
    {
      "epoch": 0.64,
      "learning_rate": 0.0001620380037586135,
      "loss": 1.0909,
      "step": 11630
    },
    {
      "epoch": 0.64,
      "learning_rate": 0.00016200003796579284,
      "loss": 1.1264,
      "step": 11640
    },
    {
      "epoch": 0.64,
      "learning_rate": 0.00016196207217297217,
      "loss": 1.0273,
      "step": 11650
    },
    {
      "epoch": 0.64,
      "learning_rate": 0.0001619241063801515,
      "loss": 1.2157,
      "step": 11660
    },
    {
      "epoch": 0.64,
      "learning_rate": 0.00016188614058733081,
      "loss": 1.055,
      "step": 11670
    },
    {
      "epoch": 0.65,
      "learning_rate": 0.00016184817479451016,
      "loss": 1.0756,
      "step": 11680
    },
    {
      "epoch": 0.65,
      "learning_rate": 0.0001618102090016895,
      "loss": 1.1673,
      "step": 11690
    },
    {
      "epoch": 0.65,
      "learning_rate": 0.0001617722432088688,
      "loss": 1.0647,
      "step": 11700
    },
    {
      "epoch": 0.65,
      "learning_rate": 0.00016173427741604813,
      "loss": 1.1893,
      "step": 11710
    },
    {
      "epoch": 0.65,
      "learning_rate": 0.00016169631162322746,
      "loss": 1.1097,
      "step": 11720
    },
    {
      "epoch": 0.65,
      "learning_rate": 0.0001616583458304068,
      "loss": 1.1296,
      "step": 11730
    },
    {
      "epoch": 0.65,
      "learning_rate": 0.00016162038003758616,
      "loss": 1.1569,
      "step": 11740
    },
    {
      "epoch": 0.65,
      "learning_rate": 0.00016158241424476548,
      "loss": 1.0083,
      "step": 11750
    },
    {
      "epoch": 0.65,
      "learning_rate": 0.0001615444484519448,
      "loss": 1.124,
      "step": 11760
    },
    {
      "epoch": 0.65,
      "learning_rate": 0.00016150648265912413,
      "loss": 1.0624,
      "step": 11770
    },
    {
      "epoch": 0.65,
      "learning_rate": 0.00016146851686630345,
      "loss": 1.1091,
      "step": 11780
    },
    {
      "epoch": 0.65,
      "learning_rate": 0.0001614305510734828,
      "loss": 1.1548,
      "step": 11790
    },
    {
      "epoch": 0.65,
      "learning_rate": 0.00016139258528066213,
      "loss": 1.0428,
      "step": 11800
    },
    {
      "epoch": 0.65,
      "learning_rate": 0.00016135461948784145,
      "loss": 1.1567,
      "step": 11810
    },
    {
      "epoch": 0.65,
      "learning_rate": 0.0001613166536950208,
      "loss": 1.085,
      "step": 11820
    },
    {
      "epoch": 0.65,
      "learning_rate": 0.00016127868790220012,
      "loss": 1.0887,
      "step": 11830
    },
    {
      "epoch": 0.65,
      "learning_rate": 0.00016124072210937945,
      "loss": 1.1699,
      "step": 11840
    },
    {
      "epoch": 0.65,
      "learning_rate": 0.0001612027563165588,
      "loss": 1.0464,
      "step": 11850
    },
    {
      "epoch": 0.66,
      "learning_rate": 0.00016116479052373812,
      "loss": 1.2486,
      "step": 11860
    },
    {
      "epoch": 0.66,
      "learning_rate": 0.00016112682473091745,
      "loss": 1.1073,
      "step": 11870
    },
    {
      "epoch": 0.66,
      "learning_rate": 0.00016108885893809677,
      "loss": 1.1094,
      "step": 11880
    },
    {
      "epoch": 0.66,
      "learning_rate": 0.0001610508931452761,
      "loss": 1.1772,
      "step": 11890
    },
    {
      "epoch": 0.66,
      "learning_rate": 0.00016101292735245544,
      "loss": 1.0588,
      "step": 11900
    },
    {
      "epoch": 0.66,
      "learning_rate": 0.0001609749615596348,
      "loss": 1.2318,
      "step": 11910
    },
    {
      "epoch": 0.66,
      "learning_rate": 0.00016093699576681412,
      "loss": 1.0654,
      "step": 11920
    },
    {
      "epoch": 0.66,
      "learning_rate": 0.00016089902997399344,
      "loss": 1.0555,
      "step": 11930
    },
    {
      "epoch": 0.66,
      "learning_rate": 0.00016086106418117276,
      "loss": 1.1654,
      "step": 11940
    },
    {
      "epoch": 0.66,
      "learning_rate": 0.0001608230983883521,
      "loss": 1.0351,
      "step": 11950
    },
    {
      "epoch": 0.66,
      "learning_rate": 0.00016078513259553144,
      "loss": 1.1783,
      "step": 11960
    },
    {
      "epoch": 0.66,
      "learning_rate": 0.00016074716680271076,
      "loss": 1.1161,
      "step": 11970
    },
    {
      "epoch": 0.66,
      "learning_rate": 0.00016070920100989008,
      "loss": 1.1364,
      "step": 11980
    },
    {
      "epoch": 0.66,
      "learning_rate": 0.00016067123521706943,
      "loss": 1.1486,
      "step": 11990
    },
    {
      "epoch": 0.66,
      "learning_rate": 0.00016063326942424876,
      "loss": 0.9943,
      "step": 12000
    },
    {
      "epoch": 0.66,
      "eval_loss": 1.0959264039993286,
      "eval_runtime": 2.0019,
      "eval_samples_per_second": 49.952,
      "eval_steps_per_second": 6.494,
      "step": 12000
    },
    {
      "epoch": 0.66,
      "mmlu_eval_accuracy": NaN,
      "mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453,
      "mmlu_eval_accuracy_anatomy": 0.42857142857142855,
      "mmlu_eval_accuracy_astronomy": 0.125,
      "mmlu_eval_accuracy_business_ethics": 0.6363636363636364,
      "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552,
      "mmlu_eval_accuracy_college_biology": 0.8125,
      "mmlu_eval_accuracy_college_chemistry": 1.0,
      "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454,
      "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
      "mmlu_eval_accuracy_college_medicine": 0.5,
      "mmlu_eval_accuracy_college_physics": 0.36363636363636365,
      "mmlu_eval_accuracy_computer_security": 0.6363636363636364,
      "mmlu_eval_accuracy_conceptual_physics": 0.42857142857142855,
      "mmlu_eval_accuracy_econometrics": NaN,
      "mmlu_eval_accuracy_electrical_engineering": NaN,
      "mmlu_eval_accuracy_elementary_mathematics": NaN,
      "mmlu_eval_accuracy_formal_logic": NaN,
      "mmlu_eval_accuracy_global_facts": NaN,
      "mmlu_eval_accuracy_high_school_biology": NaN,
      "mmlu_eval_accuracy_high_school_chemistry": NaN,
      "mmlu_eval_accuracy_high_school_computer_science": NaN,
      "mmlu_eval_accuracy_high_school_european_history": NaN,
      "mmlu_eval_accuracy_high_school_geography": NaN,
      "mmlu_eval_accuracy_high_school_government_and_politics": NaN,
      "mmlu_eval_accuracy_high_school_macroeconomics": NaN,
      "mmlu_eval_accuracy_high_school_mathematics": NaN,
      "mmlu_eval_accuracy_high_school_microeconomics": NaN,
      "mmlu_eval_accuracy_high_school_physics": NaN,
      "mmlu_eval_accuracy_high_school_psychology": NaN,
      "mmlu_eval_accuracy_high_school_statistics": NaN,
      "mmlu_eval_accuracy_high_school_us_history": NaN,
      "mmlu_eval_accuracy_high_school_world_history": NaN,
      "mmlu_eval_accuracy_human_aging": NaN,
      "mmlu_eval_accuracy_human_sexuality": NaN,
      "mmlu_eval_accuracy_international_law": NaN,
      "mmlu_eval_accuracy_jurisprudence": NaN,
      "mmlu_eval_accuracy_logical_fallacies": NaN,
      "mmlu_eval_accuracy_machine_learning": NaN,
      "mmlu_eval_accuracy_management": NaN,
      "mmlu_eval_accuracy_marketing": NaN,
      "mmlu_eval_accuracy_medical_genetics": NaN,
      "mmlu_eval_accuracy_miscellaneous": NaN,
      "mmlu_eval_accuracy_moral_disputes": NaN,
      "mmlu_eval_accuracy_moral_scenarios": NaN,
      "mmlu_eval_accuracy_nutrition": NaN,
      "mmlu_eval_accuracy_philosophy": NaN,
      "mmlu_eval_accuracy_prehistory": NaN,
      "mmlu_eval_accuracy_professional_accounting": NaN,
      "mmlu_eval_accuracy_professional_law": NaN,
      "mmlu_eval_accuracy_professional_medicine": NaN,
      "mmlu_eval_accuracy_professional_psychology": NaN,
      "mmlu_eval_accuracy_public_relations": NaN,
      "mmlu_eval_accuracy_security_studies": NaN,
      "mmlu_eval_accuracy_sociology": NaN,
      "mmlu_eval_accuracy_us_foreign_policy": NaN,
      "mmlu_eval_accuracy_virology": NaN,
      "mmlu_eval_accuracy_world_religions": NaN,
      "mmlu_loss": 0.9960953282037129,
      "step": 12000
    }
  ],
  "max_steps": 54309,
  "num_train_epochs": 3,
  "total_flos": 6.187341352301232e+18,
  "trial_name": null,
  "trial_params": null
}