diff --git "a/72b/trainer_state.json" "b/72b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/72b/trainer_state.json" @@ -0,0 +1,15297 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.0, + "eval_steps": 500, + "global_step": 2181, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "grad_norm": 35.6231464997871, + "learning_rate": 1.5151515151515153e-05, + "loss": 9.3652, + "step": 1 + }, + { + "epoch": 0.0, + "grad_norm": 35.92330916133144, + "learning_rate": 3.0303030303030306e-05, + "loss": 9.3382, + "step": 2 + }, + { + "epoch": 0.0, + "grad_norm": 7.231722225089904, + "learning_rate": 4.545454545454546e-05, + "loss": 8.8522, + "step": 3 + }, + { + "epoch": 0.0, + "grad_norm": 2.369954036743097, + "learning_rate": 6.060606060606061e-05, + "loss": 8.8564, + "step": 4 + }, + { + "epoch": 0.0, + "grad_norm": 12.663503624079658, + "learning_rate": 7.575757575757576e-05, + "loss": 8.4349, + "step": 5 + }, + { + "epoch": 0.0, + "grad_norm": 31.25181061747781, + "learning_rate": 9.090909090909092e-05, + "loss": 8.6229, + "step": 6 + }, + { + "epoch": 0.0, + "grad_norm": 37.33243831299671, + "learning_rate": 0.00010606060606060606, + "loss": 8.8206, + "step": 7 + }, + { + "epoch": 0.0, + "grad_norm": 24.270798474480543, + "learning_rate": 0.00012121212121212122, + "loss": 7.3819, + "step": 8 + }, + { + "epoch": 0.0, + "grad_norm": 65.23057542361212, + "learning_rate": 0.00013636363636363637, + "loss": 6.9387, + "step": 9 + }, + { + "epoch": 0.0, + "grad_norm": 52.07605968519506, + "learning_rate": 0.00015151515151515152, + "loss": 7.0564, + "step": 10 + }, + { + "epoch": 0.01, + "grad_norm": 13.079150298164448, + "learning_rate": 0.00016666666666666666, + "loss": 6.4266, + "step": 11 + }, + { + "epoch": 0.01, + "grad_norm": 2.6688270060011425, + "learning_rate": 0.00018181818181818183, + "loss": 6.1114, + "step": 12 + }, + { + "epoch": 0.01, + "grad_norm": 7.050211195613581, + "learning_rate": 0.00019696969696969695, + "loss": 6.207, + "step": 13 + }, + { + "epoch": 0.01, + "grad_norm": 1.636321004360315, + "learning_rate": 0.00021212121212121213, + "loss": 5.8461, + "step": 14 + }, + { + "epoch": 0.01, + "grad_norm": 1.7193781177674055, + "learning_rate": 0.00022727272727272727, + "loss": 5.7272, + "step": 15 + }, + { + "epoch": 0.01, + "grad_norm": 1.7939980680893302, + "learning_rate": 0.00024242424242424245, + "loss": 5.3522, + "step": 16 + }, + { + "epoch": 0.01, + "grad_norm": 31.475560112408974, + "learning_rate": 0.00025757575757575756, + "loss": 5.8448, + "step": 17 + }, + { + "epoch": 0.01, + "grad_norm": 18.95582034095008, + "learning_rate": 0.00027272727272727274, + "loss": 5.4235, + "step": 18 + }, + { + "epoch": 0.01, + "grad_norm": 2.860416105519063, + "learning_rate": 0.0002878787878787879, + "loss": 5.2066, + "step": 19 + }, + { + "epoch": 0.01, + "grad_norm": 3.2909871451343204, + "learning_rate": 0.00030303030303030303, + "loss": 4.9889, + "step": 20 + }, + { + "epoch": 0.01, + "grad_norm": 2.4575217589545706, + "learning_rate": 0.0003181818181818182, + "loss": 4.8823, + "step": 21 + }, + { + "epoch": 0.01, + "grad_norm": 1.7934215420950284, + "learning_rate": 0.0003333333333333333, + "loss": 4.6509, + "step": 22 + }, + { + "epoch": 0.01, + "grad_norm": 1.153137745543451, + "learning_rate": 0.0003484848484848485, + "loss": 4.4638, + "step": 23 + }, + { + "epoch": 0.01, + "grad_norm": 1.590465433445637, + "learning_rate": 0.00036363636363636367, + "loss": 4.5866, + "step": 24 + }, + { + "epoch": 0.01, + "grad_norm": 1.1028291207140761, + "learning_rate": 0.0003787878787878788, + "loss": 4.3329, + "step": 25 + }, + { + "epoch": 0.01, + "grad_norm": 0.9443674527308606, + "learning_rate": 0.0003939393939393939, + "loss": 4.2267, + "step": 26 + }, + { + "epoch": 0.01, + "grad_norm": 0.6131706999245661, + "learning_rate": 0.00040909090909090913, + "loss": 4.4129, + "step": 27 + }, + { + "epoch": 0.01, + "grad_norm": 0.9931732213719607, + "learning_rate": 0.00042424242424242425, + "loss": 4.2866, + "step": 28 + }, + { + "epoch": 0.01, + "grad_norm": 0.4956897560760095, + "learning_rate": 0.0004393939393939394, + "loss": 4.0904, + "step": 29 + }, + { + "epoch": 0.01, + "grad_norm": 4.363838849342912, + "learning_rate": 0.00045454545454545455, + "loss": 4.3782, + "step": 30 + }, + { + "epoch": 0.01, + "grad_norm": 0.6873388271271459, + "learning_rate": 0.0004696969696969697, + "loss": 4.13, + "step": 31 + }, + { + "epoch": 0.01, + "grad_norm": 1.43150893817963, + "learning_rate": 0.0004848484848484849, + "loss": 4.241, + "step": 32 + }, + { + "epoch": 0.02, + "grad_norm": 0.48305076836344624, + "learning_rate": 0.0005, + "loss": 4.1711, + "step": 33 + }, + { + "epoch": 0.02, + "grad_norm": 0.3350872433005161, + "learning_rate": 0.0005151515151515151, + "loss": 4.1739, + "step": 34 + }, + { + "epoch": 0.02, + "grad_norm": 0.35771104058944886, + "learning_rate": 0.0005303030303030302, + "loss": 4.1007, + "step": 35 + }, + { + "epoch": 0.02, + "grad_norm": 0.35394352895084363, + "learning_rate": 0.0005454545454545455, + "loss": 3.9501, + "step": 36 + }, + { + "epoch": 0.02, + "grad_norm": 0.3556968965015149, + "learning_rate": 0.0005606060606060606, + "loss": 4.12, + "step": 37 + }, + { + "epoch": 0.02, + "grad_norm": 0.5342531256035216, + "learning_rate": 0.0005757575757575758, + "loss": 4.078, + "step": 38 + }, + { + "epoch": 0.02, + "grad_norm": 0.40274236021233567, + "learning_rate": 0.0005909090909090909, + "loss": 4.1505, + "step": 39 + }, + { + "epoch": 0.02, + "grad_norm": 0.37982336204910594, + "learning_rate": 0.0006060606060606061, + "loss": 4.1318, + "step": 40 + }, + { + "epoch": 0.02, + "grad_norm": 0.4427249973641121, + "learning_rate": 0.0006212121212121212, + "loss": 3.9231, + "step": 41 + }, + { + "epoch": 0.02, + "grad_norm": 1.0419164218551258, + "learning_rate": 0.0006363636363636364, + "loss": 4.0269, + "step": 42 + }, + { + "epoch": 0.02, + "grad_norm": 0.5567583515701285, + "learning_rate": 0.0006515151515151515, + "loss": 3.9712, + "step": 43 + }, + { + "epoch": 0.02, + "grad_norm": 0.41262532216581865, + "learning_rate": 0.0006666666666666666, + "loss": 3.913, + "step": 44 + }, + { + "epoch": 0.02, + "grad_norm": 0.3584993367687472, + "learning_rate": 0.0006818181818181818, + "loss": 3.9027, + "step": 45 + }, + { + "epoch": 0.02, + "grad_norm": 0.3764530568011376, + "learning_rate": 0.000696969696969697, + "loss": 4.0029, + "step": 46 + }, + { + "epoch": 0.02, + "grad_norm": 0.28725402532410044, + "learning_rate": 0.0007121212121212122, + "loss": 4.0063, + "step": 47 + }, + { + "epoch": 0.02, + "grad_norm": 0.24639421197145955, + "learning_rate": 0.0007272727272727273, + "loss": 3.9326, + "step": 48 + }, + { + "epoch": 0.02, + "grad_norm": 0.2861555938572352, + "learning_rate": 0.0007424242424242425, + "loss": 3.943, + "step": 49 + }, + { + "epoch": 0.02, + "grad_norm": 0.44017978305923483, + "learning_rate": 0.0007575757575757576, + "loss": 3.9489, + "step": 50 + }, + { + "epoch": 0.02, + "grad_norm": 0.4840463207066867, + "learning_rate": 0.0007727272727272727, + "loss": 3.942, + "step": 51 + }, + { + "epoch": 0.02, + "grad_norm": 0.8957230667217483, + "learning_rate": 0.0007878787878787878, + "loss": 3.9037, + "step": 52 + }, + { + "epoch": 0.02, + "grad_norm": 0.4816467809741688, + "learning_rate": 0.000803030303030303, + "loss": 3.8997, + "step": 53 + }, + { + "epoch": 0.02, + "grad_norm": 0.38237712591734363, + "learning_rate": 0.0008181818181818183, + "loss": 3.9628, + "step": 54 + }, + { + "epoch": 0.03, + "grad_norm": 1.6996121842131515, + "learning_rate": 0.0008333333333333334, + "loss": 3.9518, + "step": 55 + }, + { + "epoch": 0.03, + "grad_norm": 0.3549458661135047, + "learning_rate": 0.0008484848484848485, + "loss": 4.0217, + "step": 56 + }, + { + "epoch": 0.03, + "grad_norm": 0.8855649903773636, + "learning_rate": 0.0008636363636363636, + "loss": 3.9283, + "step": 57 + }, + { + "epoch": 0.03, + "grad_norm": 0.532703832375215, + "learning_rate": 0.0008787878787878789, + "loss": 3.9352, + "step": 58 + }, + { + "epoch": 0.03, + "grad_norm": 0.4301527966259608, + "learning_rate": 0.000893939393939394, + "loss": 3.8933, + "step": 59 + }, + { + "epoch": 0.03, + "grad_norm": 0.36343822063257797, + "learning_rate": 0.0009090909090909091, + "loss": 3.899, + "step": 60 + }, + { + "epoch": 0.03, + "grad_norm": 0.4571230800818782, + "learning_rate": 0.0009242424242424242, + "loss": 3.8235, + "step": 61 + }, + { + "epoch": 0.03, + "grad_norm": 0.4716767686854641, + "learning_rate": 0.0009393939393939394, + "loss": 3.8761, + "step": 62 + }, + { + "epoch": 0.03, + "grad_norm": 0.44258928637702416, + "learning_rate": 0.0009545454545454546, + "loss": 3.8516, + "step": 63 + }, + { + "epoch": 0.03, + "grad_norm": 0.5266597950036421, + "learning_rate": 0.0009696969696969698, + "loss": 3.8353, + "step": 64 + }, + { + "epoch": 0.03, + "grad_norm": 0.412600079316998, + "learning_rate": 0.000984848484848485, + "loss": 3.8122, + "step": 65 + }, + { + "epoch": 0.03, + "grad_norm": 0.36959748396394654, + "learning_rate": 0.001, + "loss": 3.7723, + "step": 66 + }, + { + "epoch": 0.03, + "grad_norm": 0.30613521235924535, + "learning_rate": 0.0009999994484067654, + "loss": 3.7035, + "step": 67 + }, + { + "epoch": 0.03, + "grad_norm": 0.2806990997671294, + "learning_rate": 0.0009999977936282788, + "loss": 3.8159, + "step": 68 + }, + { + "epoch": 0.03, + "grad_norm": 0.28574560709629776, + "learning_rate": 0.0009999950356681913, + "loss": 3.6558, + "step": 69 + }, + { + "epoch": 0.03, + "grad_norm": 0.4246176360205799, + "learning_rate": 0.0009999911745325876, + "loss": 3.7948, + "step": 70 + }, + { + "epoch": 0.03, + "grad_norm": 0.4276343999050113, + "learning_rate": 0.0009999862102299873, + "loss": 3.6605, + "step": 71 + }, + { + "epoch": 0.03, + "grad_norm": 0.3427873016989194, + "learning_rate": 0.0009999801427713433, + "loss": 3.7644, + "step": 72 + }, + { + "epoch": 0.03, + "grad_norm": 0.4607730758750902, + "learning_rate": 0.0009999729721700424, + "loss": 3.6255, + "step": 73 + }, + { + "epoch": 0.03, + "grad_norm": 0.26964079915231465, + "learning_rate": 0.000999964698441906, + "loss": 3.7065, + "step": 74 + }, + { + "epoch": 0.03, + "grad_norm": 0.26937917391578037, + "learning_rate": 0.0009999553216051892, + "loss": 3.5876, + "step": 75 + }, + { + "epoch": 0.03, + "grad_norm": 0.3120123704867196, + "learning_rate": 0.00099994484168058, + "loss": 3.7445, + "step": 76 + }, + { + "epoch": 0.04, + "grad_norm": 0.32349978172818317, + "learning_rate": 0.0009999332586912019, + "loss": 3.8054, + "step": 77 + }, + { + "epoch": 0.04, + "grad_norm": 0.29844230641343156, + "learning_rate": 0.0009999205726626108, + "loss": 3.5192, + "step": 78 + }, + { + "epoch": 0.04, + "grad_norm": 0.39790642080834976, + "learning_rate": 0.000999906783622797, + "loss": 3.5319, + "step": 79 + }, + { + "epoch": 0.04, + "grad_norm": 0.3305412165578488, + "learning_rate": 0.0009998918916021842, + "loss": 3.7056, + "step": 80 + }, + { + "epoch": 0.04, + "grad_norm": 0.34563140622786687, + "learning_rate": 0.0009998758966336297, + "loss": 3.7685, + "step": 81 + }, + { + "epoch": 0.04, + "grad_norm": 0.2825570292873176, + "learning_rate": 0.0009998587987524242, + "loss": 3.6081, + "step": 82 + }, + { + "epoch": 0.04, + "grad_norm": 0.22299810473790152, + "learning_rate": 0.0009998405979962926, + "loss": 3.5665, + "step": 83 + }, + { + "epoch": 0.04, + "grad_norm": 0.3092802999538855, + "learning_rate": 0.000999821294405392, + "loss": 3.5616, + "step": 84 + }, + { + "epoch": 0.04, + "grad_norm": 0.2576039617678053, + "learning_rate": 0.0009998008880223134, + "loss": 3.6937, + "step": 85 + }, + { + "epoch": 0.04, + "grad_norm": 0.21481665405008674, + "learning_rate": 0.000999779378892081, + "loss": 3.5144, + "step": 86 + }, + { + "epoch": 0.04, + "grad_norm": 0.25123404483566714, + "learning_rate": 0.0009997567670621522, + "loss": 3.6283, + "step": 87 + }, + { + "epoch": 0.04, + "grad_norm": 0.2577115241815996, + "learning_rate": 0.0009997330525824165, + "loss": 3.5051, + "step": 88 + }, + { + "epoch": 0.04, + "grad_norm": 0.3043087260371866, + "learning_rate": 0.0009997082355051976, + "loss": 3.5543, + "step": 89 + }, + { + "epoch": 0.04, + "grad_norm": 0.3545016683615683, + "learning_rate": 0.000999682315885251, + "loss": 3.542, + "step": 90 + }, + { + "epoch": 0.04, + "grad_norm": 0.34386194955491955, + "learning_rate": 0.0009996552937797645, + "loss": 3.5394, + "step": 91 + }, + { + "epoch": 0.04, + "grad_norm": 0.37112854656297195, + "learning_rate": 0.0009996271692483596, + "loss": 3.4994, + "step": 92 + }, + { + "epoch": 0.04, + "grad_norm": 0.5114308982283607, + "learning_rate": 0.0009995979423530893, + "loss": 3.4647, + "step": 93 + }, + { + "epoch": 0.04, + "grad_norm": 0.2807433631747716, + "learning_rate": 0.000999567613158439, + "loss": 3.4074, + "step": 94 + }, + { + "epoch": 0.04, + "grad_norm": 0.3306154771619005, + "learning_rate": 0.0009995361817313263, + "loss": 3.4999, + "step": 95 + }, + { + "epoch": 0.04, + "grad_norm": 0.2957302402988648, + "learning_rate": 0.0009995036481411004, + "loss": 3.491, + "step": 96 + }, + { + "epoch": 0.04, + "grad_norm": 0.2698580892627919, + "learning_rate": 0.0009994700124595429, + "loss": 3.5976, + "step": 97 + }, + { + "epoch": 0.04, + "grad_norm": 0.27196746273699035, + "learning_rate": 0.0009994352747608663, + "loss": 3.4213, + "step": 98 + }, + { + "epoch": 0.05, + "grad_norm": 0.30358956210258486, + "learning_rate": 0.0009993994351217151, + "loss": 3.5215, + "step": 99 + }, + { + "epoch": 0.05, + "grad_norm": 0.2726926376668444, + "learning_rate": 0.000999362493621165, + "loss": 3.4668, + "step": 100 + }, + { + "epoch": 0.05, + "grad_norm": 0.32003603958140714, + "learning_rate": 0.0009993244503407226, + "loss": 3.4924, + "step": 101 + }, + { + "epoch": 0.05, + "grad_norm": 0.2618368497370899, + "learning_rate": 0.0009992853053643258, + "loss": 3.4169, + "step": 102 + }, + { + "epoch": 0.05, + "grad_norm": 0.23056619271604348, + "learning_rate": 0.0009992450587783426, + "loss": 3.3563, + "step": 103 + }, + { + "epoch": 0.05, + "grad_norm": 0.2963111516603701, + "learning_rate": 0.000999203710671572, + "loss": 3.3747, + "step": 104 + }, + { + "epoch": 0.05, + "grad_norm": 0.25090411114949296, + "learning_rate": 0.0009991612611352438, + "loss": 3.3951, + "step": 105 + }, + { + "epoch": 0.05, + "grad_norm": 0.2725259882426756, + "learning_rate": 0.0009991177102630173, + "loss": 3.3461, + "step": 106 + }, + { + "epoch": 0.05, + "grad_norm": 0.293535650775447, + "learning_rate": 0.0009990730581509817, + "loss": 3.3314, + "step": 107 + }, + { + "epoch": 0.05, + "grad_norm": 0.27592942808116405, + "learning_rate": 0.0009990273048976566, + "loss": 3.3422, + "step": 108 + }, + { + "epoch": 0.05, + "grad_norm": 0.30689045930157793, + "learning_rate": 0.0009989804506039905, + "loss": 3.3833, + "step": 109 + }, + { + "epoch": 0.05, + "grad_norm": 0.33436394612317977, + "learning_rate": 0.0009989324953733614, + "loss": 3.3433, + "step": 110 + }, + { + "epoch": 0.05, + "grad_norm": 0.3314279350266806, + "learning_rate": 0.0009988834393115766, + "loss": 3.3731, + "step": 111 + }, + { + "epoch": 0.05, + "grad_norm": 0.3227977228279974, + "learning_rate": 0.000998833282526872, + "loss": 3.3655, + "step": 112 + }, + { + "epoch": 0.05, + "grad_norm": 0.24104148477876433, + "learning_rate": 0.0009987820251299122, + "loss": 3.2887, + "step": 113 + }, + { + "epoch": 0.05, + "grad_norm": 0.269439271196603, + "learning_rate": 0.00099872966723379, + "loss": 3.3846, + "step": 114 + }, + { + "epoch": 0.05, + "grad_norm": 0.25200135742878493, + "learning_rate": 0.0009986762089540266, + "loss": 3.2429, + "step": 115 + }, + { + "epoch": 0.05, + "grad_norm": 0.26918520504524285, + "learning_rate": 0.0009986216504085709, + "loss": 3.2299, + "step": 116 + }, + { + "epoch": 0.05, + "grad_norm": 0.4157644024379225, + "learning_rate": 0.0009985659917177991, + "loss": 3.2479, + "step": 117 + }, + { + "epoch": 0.05, + "grad_norm": 0.35060698689189057, + "learning_rate": 0.0009985092330045155, + "loss": 3.3372, + "step": 118 + }, + { + "epoch": 0.05, + "grad_norm": 0.3558036195591651, + "learning_rate": 0.0009984513743939508, + "loss": 3.3206, + "step": 119 + }, + { + "epoch": 0.06, + "grad_norm": 0.30656831404857576, + "learning_rate": 0.0009983924160137626, + "loss": 3.216, + "step": 120 + }, + { + "epoch": 0.06, + "grad_norm": 0.28631288158763357, + "learning_rate": 0.000998332357994035, + "loss": 3.1817, + "step": 121 + }, + { + "epoch": 0.06, + "grad_norm": 0.2710260040907228, + "learning_rate": 0.0009982712004672786, + "loss": 3.2832, + "step": 122 + }, + { + "epoch": 0.06, + "grad_norm": 0.39985552897750976, + "learning_rate": 0.0009982089435684295, + "loss": 3.3005, + "step": 123 + }, + { + "epoch": 0.06, + "grad_norm": 0.2886244988018138, + "learning_rate": 0.0009981455874348499, + "loss": 3.1814, + "step": 124 + }, + { + "epoch": 0.06, + "grad_norm": 0.2743220990121642, + "learning_rate": 0.0009980811322063269, + "loss": 3.1812, + "step": 125 + }, + { + "epoch": 0.06, + "grad_norm": 0.3331957968692638, + "learning_rate": 0.0009980155780250728, + "loss": 3.2038, + "step": 126 + }, + { + "epoch": 0.06, + "grad_norm": 0.40366690185871634, + "learning_rate": 0.0009979489250357243, + "loss": 3.2163, + "step": 127 + }, + { + "epoch": 0.06, + "grad_norm": 0.2692444778412937, + "learning_rate": 0.0009978811733853431, + "loss": 3.2061, + "step": 128 + }, + { + "epoch": 0.06, + "grad_norm": 0.358578429884789, + "learning_rate": 0.0009978123232234147, + "loss": 3.1957, + "step": 129 + }, + { + "epoch": 0.06, + "grad_norm": 0.32314805601099256, + "learning_rate": 0.000997742374701848, + "loss": 3.1299, + "step": 130 + }, + { + "epoch": 0.06, + "grad_norm": 0.30095652221922026, + "learning_rate": 0.0009976713279749754, + "loss": 3.1885, + "step": 131 + }, + { + "epoch": 0.06, + "grad_norm": 0.36225961331034895, + "learning_rate": 0.0009975991831995528, + "loss": 3.1614, + "step": 132 + }, + { + "epoch": 0.06, + "grad_norm": 0.3126475955532988, + "learning_rate": 0.0009975259405347581, + "loss": 3.1087, + "step": 133 + }, + { + "epoch": 0.06, + "grad_norm": 0.32382557990622896, + "learning_rate": 0.0009974516001421926, + "loss": 3.1152, + "step": 134 + }, + { + "epoch": 0.06, + "grad_norm": 0.3400310829439886, + "learning_rate": 0.000997376162185878, + "loss": 3.1077, + "step": 135 + }, + { + "epoch": 0.06, + "grad_norm": 0.39457268313456995, + "learning_rate": 0.0009972996268322594, + "loss": 3.1568, + "step": 136 + }, + { + "epoch": 0.06, + "grad_norm": 0.37721772998908687, + "learning_rate": 0.0009972219942502017, + "loss": 3.1725, + "step": 137 + }, + { + "epoch": 0.06, + "grad_norm": 0.3066023976813978, + "learning_rate": 0.0009971432646109918, + "loss": 3.046, + "step": 138 + }, + { + "epoch": 0.06, + "grad_norm": 0.31722667477351196, + "learning_rate": 0.0009970634380883365, + "loss": 3.0917, + "step": 139 + }, + { + "epoch": 0.06, + "grad_norm": 0.4024486208572313, + "learning_rate": 0.0009969825148583627, + "loss": 3.0452, + "step": 140 + }, + { + "epoch": 0.06, + "grad_norm": 0.35978612321237574, + "learning_rate": 0.0009969004950996173, + "loss": 3.1304, + "step": 141 + }, + { + "epoch": 0.07, + "grad_norm": 0.2958063445213475, + "learning_rate": 0.0009968173789930668, + "loss": 3.1333, + "step": 142 + }, + { + "epoch": 0.07, + "grad_norm": 0.3047961892188907, + "learning_rate": 0.0009967331667220958, + "loss": 3.0437, + "step": 143 + }, + { + "epoch": 0.07, + "grad_norm": 0.2963194238982676, + "learning_rate": 0.0009966478584725086, + "loss": 3.1806, + "step": 144 + }, + { + "epoch": 0.07, + "grad_norm": 0.27385528529967657, + "learning_rate": 0.0009965614544325263, + "loss": 3.0404, + "step": 145 + }, + { + "epoch": 0.07, + "grad_norm": 0.3465255342427384, + "learning_rate": 0.000996473954792789, + "loss": 3.0744, + "step": 146 + }, + { + "epoch": 0.07, + "grad_norm": 0.2606621343708543, + "learning_rate": 0.0009963853597463532, + "loss": 2.9269, + "step": 147 + }, + { + "epoch": 0.07, + "grad_norm": 0.3065895457630765, + "learning_rate": 0.000996295669488693, + "loss": 3.0698, + "step": 148 + }, + { + "epoch": 0.07, + "grad_norm": 0.30958792017026254, + "learning_rate": 0.0009962048842176979, + "loss": 3.0043, + "step": 149 + }, + { + "epoch": 0.07, + "grad_norm": 0.3668036995288627, + "learning_rate": 0.0009961130041336748, + "loss": 3.0222, + "step": 150 + }, + { + "epoch": 0.07, + "grad_norm": 0.2830879398649476, + "learning_rate": 0.0009960200294393449, + "loss": 2.9509, + "step": 151 + }, + { + "epoch": 0.07, + "grad_norm": 0.30285431864411605, + "learning_rate": 0.0009959259603398453, + "loss": 3.0342, + "step": 152 + }, + { + "epoch": 0.07, + "grad_norm": 0.2575727626365476, + "learning_rate": 0.0009958307970427275, + "loss": 3.0521, + "step": 153 + }, + { + "epoch": 0.07, + "grad_norm": 0.3156884570711579, + "learning_rate": 0.0009957345397579572, + "loss": 2.9831, + "step": 154 + }, + { + "epoch": 0.07, + "grad_norm": 0.2911513452618453, + "learning_rate": 0.0009956371886979138, + "loss": 2.9508, + "step": 155 + }, + { + "epoch": 0.07, + "grad_norm": 0.45403156425258584, + "learning_rate": 0.00099553874407739, + "loss": 3.0999, + "step": 156 + }, + { + "epoch": 0.07, + "grad_norm": 0.2942844063625299, + "learning_rate": 0.0009954392061135916, + "loss": 2.929, + "step": 157 + }, + { + "epoch": 0.07, + "grad_norm": 0.2947085197043086, + "learning_rate": 0.0009953385750261364, + "loss": 2.8922, + "step": 158 + }, + { + "epoch": 0.07, + "grad_norm": 0.3752940939833083, + "learning_rate": 0.0009952368510370538, + "loss": 2.8992, + "step": 159 + }, + { + "epoch": 0.07, + "grad_norm": 0.35022535809651395, + "learning_rate": 0.0009951340343707852, + "loss": 2.9463, + "step": 160 + }, + { + "epoch": 0.07, + "grad_norm": 0.2800399676379611, + "learning_rate": 0.0009950301252541823, + "loss": 2.8644, + "step": 161 + }, + { + "epoch": 0.07, + "grad_norm": 0.43931130971195914, + "learning_rate": 0.0009949251239165075, + "loss": 2.8918, + "step": 162 + }, + { + "epoch": 0.07, + "grad_norm": 0.2587391122033232, + "learning_rate": 0.000994819030589433, + "loss": 2.7714, + "step": 163 + }, + { + "epoch": 0.08, + "grad_norm": 0.2912233214164248, + "learning_rate": 0.00099471184550704, + "loss": 2.8757, + "step": 164 + }, + { + "epoch": 0.08, + "grad_norm": 0.26369976668205913, + "learning_rate": 0.0009946035689058189, + "loss": 2.8366, + "step": 165 + }, + { + "epoch": 0.08, + "grad_norm": 0.3119861807026255, + "learning_rate": 0.0009944942010246681, + "loss": 2.8904, + "step": 166 + }, + { + "epoch": 0.08, + "grad_norm": 0.3135685663334647, + "learning_rate": 0.0009943837421048942, + "loss": 2.9331, + "step": 167 + }, + { + "epoch": 0.08, + "grad_norm": 0.2741790055246914, + "learning_rate": 0.0009942721923902106, + "loss": 2.897, + "step": 168 + }, + { + "epoch": 0.08, + "grad_norm": 0.30069323259587705, + "learning_rate": 0.0009941595521267377, + "loss": 2.9062, + "step": 169 + }, + { + "epoch": 0.08, + "grad_norm": 0.2752725400966257, + "learning_rate": 0.0009940458215630017, + "loss": 2.8521, + "step": 170 + }, + { + "epoch": 0.08, + "grad_norm": 0.29833317210850385, + "learning_rate": 0.0009939310009499348, + "loss": 2.8392, + "step": 171 + }, + { + "epoch": 0.08, + "grad_norm": 0.3010990853723632, + "learning_rate": 0.000993815090540874, + "loss": 2.886, + "step": 172 + }, + { + "epoch": 0.08, + "grad_norm": 0.28126011575543086, + "learning_rate": 0.000993698090591561, + "loss": 2.8285, + "step": 173 + }, + { + "epoch": 0.08, + "grad_norm": 1.4910568871779766, + "learning_rate": 0.0009935800013601416, + "loss": 2.7636, + "step": 174 + }, + { + "epoch": 0.08, + "grad_norm": 0.8706310528189558, + "learning_rate": 0.000993460823107164, + "loss": 2.8934, + "step": 175 + }, + { + "epoch": 0.08, + "grad_norm": 0.5705255710078868, + "learning_rate": 0.0009933405560955803, + "loss": 2.9715, + "step": 176 + }, + { + "epoch": 0.08, + "grad_norm": 0.33145568768393224, + "learning_rate": 0.0009932192005907446, + "loss": 2.8063, + "step": 177 + }, + { + "epoch": 0.08, + "grad_norm": 0.39377750214390944, + "learning_rate": 0.0009930967568604118, + "loss": 2.8612, + "step": 178 + }, + { + "epoch": 0.08, + "grad_norm": 0.34542992690272417, + "learning_rate": 0.000992973225174739, + "loss": 2.8684, + "step": 179 + }, + { + "epoch": 0.08, + "grad_norm": 0.29692469665994997, + "learning_rate": 0.0009928486058062827, + "loss": 2.8374, + "step": 180 + }, + { + "epoch": 0.08, + "grad_norm": 0.3407979421259312, + "learning_rate": 0.0009927228990299999, + "loss": 2.8532, + "step": 181 + }, + { + "epoch": 0.08, + "grad_norm": 0.29920766642270125, + "learning_rate": 0.0009925961051232468, + "loss": 2.8698, + "step": 182 + }, + { + "epoch": 0.08, + "grad_norm": 0.3582698424662068, + "learning_rate": 0.000992468224365778, + "loss": 2.871, + "step": 183 + }, + { + "epoch": 0.08, + "grad_norm": 0.3545106726865571, + "learning_rate": 0.000992339257039746, + "loss": 2.8401, + "step": 184 + }, + { + "epoch": 0.08, + "grad_norm": 0.34150027994337356, + "learning_rate": 0.0009922092034297006, + "loss": 2.8161, + "step": 185 + }, + { + "epoch": 0.09, + "grad_norm": 0.29597427379567576, + "learning_rate": 0.0009920780638225891, + "loss": 2.7254, + "step": 186 + }, + { + "epoch": 0.09, + "grad_norm": 0.279054159682378, + "learning_rate": 0.0009919458385077538, + "loss": 2.85, + "step": 187 + }, + { + "epoch": 0.09, + "grad_norm": 0.2998415316645372, + "learning_rate": 0.0009918125277769336, + "loss": 2.7565, + "step": 188 + }, + { + "epoch": 0.09, + "grad_norm": 0.2917424714923249, + "learning_rate": 0.0009916781319242614, + "loss": 2.9422, + "step": 189 + }, + { + "epoch": 0.09, + "grad_norm": 0.29413397288366033, + "learning_rate": 0.0009915426512462646, + "loss": 2.7579, + "step": 190 + }, + { + "epoch": 0.09, + "grad_norm": 0.3322563981558645, + "learning_rate": 0.0009914060860418644, + "loss": 2.7233, + "step": 191 + }, + { + "epoch": 0.09, + "grad_norm": 0.27603662628058084, + "learning_rate": 0.000991268436612374, + "loss": 2.7266, + "step": 192 + }, + { + "epoch": 0.09, + "grad_norm": 0.29898026977242703, + "learning_rate": 0.0009911297032614997, + "loss": 2.7981, + "step": 193 + }, + { + "epoch": 0.09, + "grad_norm": 0.2877462442144209, + "learning_rate": 0.000990989886295339, + "loss": 2.916, + "step": 194 + }, + { + "epoch": 0.09, + "grad_norm": 0.2939298284789785, + "learning_rate": 0.0009908489860223804, + "loss": 2.7377, + "step": 195 + }, + { + "epoch": 0.09, + "grad_norm": 0.3036147319081863, + "learning_rate": 0.000990707002753502, + "loss": 2.8093, + "step": 196 + }, + { + "epoch": 0.09, + "grad_norm": 0.31942314453425996, + "learning_rate": 0.0009905639368019724, + "loss": 2.6946, + "step": 197 + }, + { + "epoch": 0.09, + "grad_norm": 0.2874918418586274, + "learning_rate": 0.0009904197884834482, + "loss": 2.7245, + "step": 198 + }, + { + "epoch": 0.09, + "grad_norm": 0.2646050865471292, + "learning_rate": 0.0009902745581159742, + "loss": 2.7087, + "step": 199 + }, + { + "epoch": 0.09, + "grad_norm": 0.36966099141889186, + "learning_rate": 0.0009901282460199829, + "loss": 2.7819, + "step": 200 + }, + { + "epoch": 0.09, + "grad_norm": 0.29404822841447537, + "learning_rate": 0.0009899808525182935, + "loss": 2.7658, + "step": 201 + }, + { + "epoch": 0.09, + "grad_norm": 0.30171022116516655, + "learning_rate": 0.0009898323779361107, + "loss": 2.6611, + "step": 202 + }, + { + "epoch": 0.09, + "grad_norm": 0.3043178613531503, + "learning_rate": 0.000989682822601025, + "loss": 2.7405, + "step": 203 + }, + { + "epoch": 0.09, + "grad_norm": 0.2937650446577514, + "learning_rate": 0.0009895321868430113, + "loss": 2.6451, + "step": 204 + }, + { + "epoch": 0.09, + "grad_norm": 0.3166616949683505, + "learning_rate": 0.0009893804709944281, + "loss": 2.8168, + "step": 205 + }, + { + "epoch": 0.09, + "grad_norm": 0.25831943272390334, + "learning_rate": 0.0009892276753900174, + "loss": 2.76, + "step": 206 + }, + { + "epoch": 0.09, + "grad_norm": 0.26178197011596577, + "learning_rate": 0.0009890738003669028, + "loss": 2.6926, + "step": 207 + }, + { + "epoch": 0.1, + "grad_norm": 0.44255648226971, + "learning_rate": 0.0009889188462645904, + "loss": 2.7413, + "step": 208 + }, + { + "epoch": 0.1, + "grad_norm": 0.30467274112881104, + "learning_rate": 0.0009887628134249667, + "loss": 2.6813, + "step": 209 + }, + { + "epoch": 0.1, + "grad_norm": 0.328070305717662, + "learning_rate": 0.0009886057021922983, + "loss": 2.743, + "step": 210 + }, + { + "epoch": 0.1, + "grad_norm": 0.27721448591162473, + "learning_rate": 0.0009884475129132311, + "loss": 2.7179, + "step": 211 + }, + { + "epoch": 0.1, + "grad_norm": 0.6511726190385966, + "learning_rate": 0.0009882882459367897, + "loss": 2.6842, + "step": 212 + }, + { + "epoch": 0.1, + "grad_norm": 0.4058805133439206, + "learning_rate": 0.0009881279016143766, + "loss": 2.7386, + "step": 213 + }, + { + "epoch": 0.1, + "grad_norm": 0.3659065615282764, + "learning_rate": 0.0009879664802997707, + "loss": 2.7264, + "step": 214 + }, + { + "epoch": 0.1, + "grad_norm": 0.3133910835012604, + "learning_rate": 0.000987803982349128, + "loss": 2.7252, + "step": 215 + }, + { + "epoch": 0.1, + "grad_norm": 0.27110262432610865, + "learning_rate": 0.0009876404081209796, + "loss": 2.689, + "step": 216 + }, + { + "epoch": 0.1, + "grad_norm": 0.27239237136382227, + "learning_rate": 0.000987475757976231, + "loss": 2.6658, + "step": 217 + }, + { + "epoch": 0.1, + "grad_norm": 0.5423522825845379, + "learning_rate": 0.000987310032278162, + "loss": 2.7756, + "step": 218 + }, + { + "epoch": 0.1, + "grad_norm": 0.32554655473300864, + "learning_rate": 0.0009871432313924254, + "loss": 2.7887, + "step": 219 + }, + { + "epoch": 0.1, + "grad_norm": 0.25846401899226173, + "learning_rate": 0.000986975355687046, + "loss": 2.698, + "step": 220 + }, + { + "epoch": 0.1, + "grad_norm": 0.3019388953834801, + "learning_rate": 0.0009868064055324204, + "loss": 2.7292, + "step": 221 + }, + { + "epoch": 0.1, + "grad_norm": 0.26745258430936475, + "learning_rate": 0.0009866363813013153, + "loss": 2.6795, + "step": 222 + }, + { + "epoch": 0.1, + "grad_norm": 0.24968530117239846, + "learning_rate": 0.0009864652833688676, + "loss": 2.7136, + "step": 223 + }, + { + "epoch": 0.1, + "grad_norm": 0.28143839914604074, + "learning_rate": 0.0009862931121125836, + "loss": 2.761, + "step": 224 + }, + { + "epoch": 0.1, + "grad_norm": 0.29440843646184306, + "learning_rate": 0.000986119867912337, + "loss": 2.5947, + "step": 225 + }, + { + "epoch": 0.1, + "grad_norm": 0.36495001194544974, + "learning_rate": 0.000985945551150369, + "loss": 2.5828, + "step": 226 + }, + { + "epoch": 0.1, + "grad_norm": 0.2943033342906207, + "learning_rate": 0.0009857701622112876, + "loss": 2.7798, + "step": 227 + }, + { + "epoch": 0.1, + "grad_norm": 0.4448223001789178, + "learning_rate": 0.000985593701482066, + "loss": 2.67, + "step": 228 + }, + { + "epoch": 0.1, + "grad_norm": 0.3044824976896804, + "learning_rate": 0.0009854161693520424, + "loss": 2.7579, + "step": 229 + }, + { + "epoch": 0.11, + "grad_norm": 0.3992527378125072, + "learning_rate": 0.0009852375662129194, + "loss": 2.5987, + "step": 230 + }, + { + "epoch": 0.11, + "grad_norm": 0.26628358368490856, + "learning_rate": 0.0009850578924587613, + "loss": 2.7062, + "step": 231 + }, + { + "epoch": 0.11, + "grad_norm": 0.2694631997998857, + "learning_rate": 0.000984877148485996, + "loss": 2.7057, + "step": 232 + }, + { + "epoch": 0.11, + "grad_norm": 0.31222163013070225, + "learning_rate": 0.000984695334693412, + "loss": 2.6277, + "step": 233 + }, + { + "epoch": 0.11, + "grad_norm": 0.2582876938246746, + "learning_rate": 0.000984512451482158, + "loss": 2.6598, + "step": 234 + }, + { + "epoch": 0.11, + "grad_norm": 0.2980822516680601, + "learning_rate": 0.0009843284992557431, + "loss": 2.5825, + "step": 235 + }, + { + "epoch": 0.11, + "grad_norm": 0.2629171383394584, + "learning_rate": 0.000984143478420034, + "loss": 2.6298, + "step": 236 + }, + { + "epoch": 0.11, + "grad_norm": 0.4153204621263423, + "learning_rate": 0.0009839573893832563, + "loss": 2.6654, + "step": 237 + }, + { + "epoch": 0.11, + "grad_norm": 0.2661578110933496, + "learning_rate": 0.000983770232555991, + "loss": 2.6443, + "step": 238 + }, + { + "epoch": 0.11, + "grad_norm": 0.32868480742901773, + "learning_rate": 0.0009835820083511765, + "loss": 2.6721, + "step": 239 + }, + { + "epoch": 0.11, + "grad_norm": 0.25464574601357637, + "learning_rate": 0.0009833927171841055, + "loss": 2.6175, + "step": 240 + }, + { + "epoch": 0.11, + "grad_norm": 0.32013898257585327, + "learning_rate": 0.0009832023594724246, + "loss": 2.5438, + "step": 241 + }, + { + "epoch": 0.11, + "grad_norm": 0.2640855958581696, + "learning_rate": 0.0009830109356361344, + "loss": 2.6358, + "step": 242 + }, + { + "epoch": 0.11, + "grad_norm": 0.2409276372971484, + "learning_rate": 0.0009828184460975867, + "loss": 2.615, + "step": 243 + }, + { + "epoch": 0.11, + "grad_norm": 0.30073813431851604, + "learning_rate": 0.0009826248912814855, + "loss": 2.6969, + "step": 244 + }, + { + "epoch": 0.11, + "grad_norm": 0.23932315711083457, + "learning_rate": 0.0009824302716148847, + "loss": 2.6994, + "step": 245 + }, + { + "epoch": 0.11, + "grad_norm": 0.28363131908120987, + "learning_rate": 0.0009822345875271884, + "loss": 2.6548, + "step": 246 + }, + { + "epoch": 0.11, + "grad_norm": 0.2843183963888889, + "learning_rate": 0.0009820378394501481, + "loss": 2.7219, + "step": 247 + }, + { + "epoch": 0.11, + "grad_norm": 0.23316552112670008, + "learning_rate": 0.0009818400278178636, + "loss": 2.595, + "step": 248 + }, + { + "epoch": 0.11, + "grad_norm": 0.2503998689419003, + "learning_rate": 0.0009816411530667814, + "loss": 2.6582, + "step": 249 + }, + { + "epoch": 0.11, + "grad_norm": 0.27546854396037773, + "learning_rate": 0.000981441215635693, + "loss": 2.5897, + "step": 250 + }, + { + "epoch": 0.12, + "grad_norm": 0.3218138457570169, + "learning_rate": 0.0009812402159657353, + "loss": 2.5597, + "step": 251 + }, + { + "epoch": 0.12, + "grad_norm": 0.22877170074503378, + "learning_rate": 0.000981038154500388, + "loss": 2.5368, + "step": 252 + }, + { + "epoch": 0.12, + "grad_norm": 0.2857201796053759, + "learning_rate": 0.0009808350316854746, + "loss": 2.5967, + "step": 253 + }, + { + "epoch": 0.12, + "grad_norm": 0.2626764135266731, + "learning_rate": 0.0009806308479691594, + "loss": 2.573, + "step": 254 + }, + { + "epoch": 0.12, + "grad_norm": 0.24004132426734054, + "learning_rate": 0.0009804256038019482, + "loss": 2.6474, + "step": 255 + }, + { + "epoch": 0.12, + "grad_norm": 0.2838742359912671, + "learning_rate": 0.0009802192996366857, + "loss": 2.5998, + "step": 256 + }, + { + "epoch": 0.12, + "grad_norm": 0.3339200315347223, + "learning_rate": 0.0009800119359285563, + "loss": 2.6048, + "step": 257 + }, + { + "epoch": 0.12, + "grad_norm": 0.31495154258745606, + "learning_rate": 0.0009798035131350813, + "loss": 2.5904, + "step": 258 + }, + { + "epoch": 0.12, + "grad_norm": 0.25454722173721295, + "learning_rate": 0.0009795940317161194, + "loss": 2.6457, + "step": 259 + }, + { + "epoch": 0.12, + "grad_norm": 0.2780311528635556, + "learning_rate": 0.0009793834921338646, + "loss": 2.5425, + "step": 260 + }, + { + "epoch": 0.12, + "grad_norm": 0.26011588384390677, + "learning_rate": 0.0009791718948528457, + "loss": 2.6891, + "step": 261 + }, + { + "epoch": 0.12, + "grad_norm": 0.3402631377661696, + "learning_rate": 0.0009789592403399252, + "loss": 2.6052, + "step": 262 + }, + { + "epoch": 0.12, + "grad_norm": 0.31514351232795046, + "learning_rate": 0.0009787455290642985, + "loss": 2.5763, + "step": 263 + }, + { + "epoch": 0.12, + "grad_norm": 0.33398676237416175, + "learning_rate": 0.000978530761497492, + "loss": 2.7201, + "step": 264 + }, + { + "epoch": 0.12, + "grad_norm": 0.296948613783211, + "learning_rate": 0.0009783149381133633, + "loss": 2.644, + "step": 265 + }, + { + "epoch": 0.12, + "grad_norm": 0.498072821470756, + "learning_rate": 0.0009780980593880992, + "loss": 2.603, + "step": 266 + }, + { + "epoch": 0.12, + "grad_norm": 0.2672412775974075, + "learning_rate": 0.0009778801258002153, + "loss": 2.5773, + "step": 267 + }, + { + "epoch": 0.12, + "grad_norm": 0.2609394048230652, + "learning_rate": 0.000977661137830554, + "loss": 2.6203, + "step": 268 + }, + { + "epoch": 0.12, + "grad_norm": 0.3066173778930956, + "learning_rate": 0.0009774410959622845, + "loss": 2.5656, + "step": 269 + }, + { + "epoch": 0.12, + "grad_norm": 0.24133568694980762, + "learning_rate": 0.000977220000680901, + "loss": 2.507, + "step": 270 + }, + { + "epoch": 0.12, + "grad_norm": 0.2661567063627454, + "learning_rate": 0.000976997852474223, + "loss": 2.5056, + "step": 271 + }, + { + "epoch": 0.12, + "grad_norm": 0.7894568711705849, + "learning_rate": 0.0009767746518323914, + "loss": 2.6361, + "step": 272 + }, + { + "epoch": 0.13, + "grad_norm": 0.32332952652784674, + "learning_rate": 0.0009765503992478704, + "loss": 2.5988, + "step": 273 + }, + { + "epoch": 0.13, + "grad_norm": 0.3731253506008722, + "learning_rate": 0.0009763250952154449, + "loss": 2.648, + "step": 274 + }, + { + "epoch": 0.13, + "grad_norm": 0.32521929126962584, + "learning_rate": 0.0009760987402322195, + "loss": 2.5739, + "step": 275 + }, + { + "epoch": 0.13, + "grad_norm": 0.24380197457646935, + "learning_rate": 0.0009758713347976178, + "loss": 2.5778, + "step": 276 + }, + { + "epoch": 0.13, + "grad_norm": 0.28224805722631924, + "learning_rate": 0.000975642879413381, + "loss": 2.6387, + "step": 277 + }, + { + "epoch": 0.13, + "grad_norm": 0.4667848243338128, + "learning_rate": 0.0009754133745835665, + "loss": 2.6301, + "step": 278 + }, + { + "epoch": 0.13, + "grad_norm": 0.3344104172851605, + "learning_rate": 0.0009751828208145482, + "loss": 2.6079, + "step": 279 + }, + { + "epoch": 0.13, + "grad_norm": 0.2990515640519381, + "learning_rate": 0.0009749512186150131, + "loss": 2.6515, + "step": 280 + }, + { + "epoch": 0.13, + "grad_norm": 0.22370886225609918, + "learning_rate": 0.0009747185684959625, + "loss": 2.5512, + "step": 281 + }, + { + "epoch": 0.13, + "grad_norm": 0.28276566937554515, + "learning_rate": 0.000974484870970709, + "loss": 2.5587, + "step": 282 + }, + { + "epoch": 0.13, + "grad_norm": 0.2501305986971202, + "learning_rate": 0.0009742501265548767, + "loss": 2.5496, + "step": 283 + }, + { + "epoch": 0.13, + "grad_norm": 0.25615455084945, + "learning_rate": 0.0009740143357663993, + "loss": 2.5386, + "step": 284 + }, + { + "epoch": 0.13, + "grad_norm": 0.2663748719165565, + "learning_rate": 0.000973777499125519, + "loss": 2.5585, + "step": 285 + }, + { + "epoch": 0.13, + "grad_norm": 0.24325142243799, + "learning_rate": 0.0009735396171547859, + "loss": 2.5945, + "step": 286 + }, + { + "epoch": 0.13, + "grad_norm": 0.2752485611807798, + "learning_rate": 0.0009733006903790564, + "loss": 2.6296, + "step": 287 + }, + { + "epoch": 0.13, + "grad_norm": 0.23736678798362604, + "learning_rate": 0.0009730607193254922, + "loss": 2.6021, + "step": 288 + }, + { + "epoch": 0.13, + "grad_norm": 0.27847273881659146, + "learning_rate": 0.0009728197045235585, + "loss": 2.5228, + "step": 289 + }, + { + "epoch": 0.13, + "grad_norm": 0.23264877118039437, + "learning_rate": 0.0009725776465050242, + "loss": 2.5551, + "step": 290 + }, + { + "epoch": 0.13, + "grad_norm": 0.21831592615779596, + "learning_rate": 0.0009723345458039594, + "loss": 2.5509, + "step": 291 + }, + { + "epoch": 0.13, + "grad_norm": 0.23777138921871704, + "learning_rate": 0.000972090402956735, + "loss": 2.5391, + "step": 292 + }, + { + "epoch": 0.13, + "grad_norm": 0.24381865262282584, + "learning_rate": 0.0009718452185020212, + "loss": 2.5143, + "step": 293 + }, + { + "epoch": 0.13, + "grad_norm": 0.25072048479148346, + "learning_rate": 0.0009715989929807862, + "loss": 2.5151, + "step": 294 + }, + { + "epoch": 0.14, + "grad_norm": 0.2784732534240599, + "learning_rate": 0.0009713517269362955, + "loss": 2.5409, + "step": 295 + }, + { + "epoch": 0.14, + "grad_norm": 0.22926021538286676, + "learning_rate": 0.0009711034209141101, + "loss": 2.4994, + "step": 296 + }, + { + "epoch": 0.14, + "grad_norm": 0.2436718288733235, + "learning_rate": 0.0009708540754620856, + "loss": 2.5662, + "step": 297 + }, + { + "epoch": 0.14, + "grad_norm": 0.22506426040064556, + "learning_rate": 0.0009706036911303713, + "loss": 2.5866, + "step": 298 + }, + { + "epoch": 0.14, + "grad_norm": 0.24942195637059375, + "learning_rate": 0.0009703522684714083, + "loss": 2.5769, + "step": 299 + }, + { + "epoch": 0.14, + "grad_norm": 0.24500114802222245, + "learning_rate": 0.0009700998080399286, + "loss": 2.5079, + "step": 300 + }, + { + "epoch": 0.14, + "grad_norm": 0.24448219667617863, + "learning_rate": 0.0009698463103929542, + "loss": 2.4727, + "step": 301 + }, + { + "epoch": 0.14, + "grad_norm": 0.2771818606173995, + "learning_rate": 0.0009695917760897954, + "loss": 2.5461, + "step": 302 + }, + { + "epoch": 0.14, + "grad_norm": 0.22524025429937, + "learning_rate": 0.0009693362056920501, + "loss": 2.4659, + "step": 303 + }, + { + "epoch": 0.14, + "grad_norm": 0.2827412801107414, + "learning_rate": 0.0009690795997636015, + "loss": 2.5577, + "step": 304 + }, + { + "epoch": 0.14, + "grad_norm": 0.26121061135901197, + "learning_rate": 0.0009688219588706179, + "loss": 2.6101, + "step": 305 + }, + { + "epoch": 0.14, + "grad_norm": 0.30169848264370014, + "learning_rate": 0.0009685632835815518, + "loss": 2.4885, + "step": 306 + }, + { + "epoch": 0.14, + "grad_norm": 0.26432657968165396, + "learning_rate": 0.0009683035744671367, + "loss": 2.5344, + "step": 307 + }, + { + "epoch": 0.14, + "grad_norm": 0.27123429154544226, + "learning_rate": 0.0009680428321003883, + "loss": 2.5453, + "step": 308 + }, + { + "epoch": 0.14, + "grad_norm": 0.2408096412142215, + "learning_rate": 0.000967781057056601, + "loss": 2.4644, + "step": 309 + }, + { + "epoch": 0.14, + "grad_norm": 0.22876028072376958, + "learning_rate": 0.0009675182499133485, + "loss": 2.5372, + "step": 310 + }, + { + "epoch": 0.14, + "grad_norm": 0.2373888391940621, + "learning_rate": 0.0009672544112504813, + "loss": 2.5068, + "step": 311 + }, + { + "epoch": 0.14, + "grad_norm": 0.2176608114129179, + "learning_rate": 0.0009669895416501257, + "loss": 2.4595, + "step": 312 + }, + { + "epoch": 0.14, + "grad_norm": 0.2425916154692314, + "learning_rate": 0.0009667236416966833, + "loss": 2.5567, + "step": 313 + }, + { + "epoch": 0.14, + "grad_norm": 0.330554324751859, + "learning_rate": 0.0009664567119768281, + "loss": 2.5671, + "step": 314 + }, + { + "epoch": 0.14, + "grad_norm": 0.2749751358238836, + "learning_rate": 0.0009661887530795067, + "loss": 2.4215, + "step": 315 + }, + { + "epoch": 0.14, + "grad_norm": 0.24540581436777884, + "learning_rate": 0.0009659197655959365, + "loss": 2.3667, + "step": 316 + }, + { + "epoch": 0.15, + "grad_norm": 0.2456429599622594, + "learning_rate": 0.000965649750119604, + "loss": 2.5299, + "step": 317 + }, + { + "epoch": 0.15, + "grad_norm": 0.40511840050867626, + "learning_rate": 0.0009653787072462643, + "loss": 2.5858, + "step": 318 + }, + { + "epoch": 0.15, + "grad_norm": 0.2915964636637138, + "learning_rate": 0.0009651066375739388, + "loss": 2.5886, + "step": 319 + }, + { + "epoch": 0.15, + "grad_norm": 0.23995172980788054, + "learning_rate": 0.000964833541702915, + "loss": 2.4773, + "step": 320 + }, + { + "epoch": 0.15, + "grad_norm": 0.2290573949683804, + "learning_rate": 0.0009645594202357438, + "loss": 2.4679, + "step": 321 + }, + { + "epoch": 0.15, + "grad_norm": 0.2217290283106237, + "learning_rate": 0.0009642842737772397, + "loss": 2.5029, + "step": 322 + }, + { + "epoch": 0.15, + "grad_norm": 0.25217557779155975, + "learning_rate": 0.0009640081029344782, + "loss": 2.5546, + "step": 323 + }, + { + "epoch": 0.15, + "grad_norm": 0.21599048579024788, + "learning_rate": 0.0009637309083167956, + "loss": 2.4589, + "step": 324 + }, + { + "epoch": 0.15, + "grad_norm": 0.23779490242619933, + "learning_rate": 0.0009634526905357859, + "loss": 2.6191, + "step": 325 + }, + { + "epoch": 0.15, + "grad_norm": 0.2241675800026173, + "learning_rate": 0.000963173450205302, + "loss": 2.5681, + "step": 326 + }, + { + "epoch": 0.15, + "grad_norm": 0.2221024752733853, + "learning_rate": 0.0009628931879414517, + "loss": 2.5149, + "step": 327 + }, + { + "epoch": 0.15, + "grad_norm": 0.22522388450484887, + "learning_rate": 0.0009626119043625983, + "loss": 2.577, + "step": 328 + }, + { + "epoch": 0.15, + "grad_norm": 0.2639253545944138, + "learning_rate": 0.0009623296000893582, + "loss": 2.5457, + "step": 329 + }, + { + "epoch": 0.15, + "grad_norm": 0.25411540848854947, + "learning_rate": 0.0009620462757446, + "loss": 2.5138, + "step": 330 + }, + { + "epoch": 0.15, + "grad_norm": 0.2683841375615613, + "learning_rate": 0.0009617619319534428, + "loss": 2.575, + "step": 331 + }, + { + "epoch": 0.15, + "grad_norm": 1.0199077704410708, + "learning_rate": 0.000961476569343255, + "loss": 2.5656, + "step": 332 + }, + { + "epoch": 0.15, + "grad_norm": 0.3561368416425003, + "learning_rate": 0.0009611901885436529, + "loss": 2.6289, + "step": 333 + }, + { + "epoch": 0.15, + "grad_norm": 0.4632827687137865, + "learning_rate": 0.0009609027901864996, + "loss": 2.6316, + "step": 334 + }, + { + "epoch": 0.15, + "grad_norm": 0.3946513372694328, + "learning_rate": 0.0009606143749059029, + "loss": 2.5917, + "step": 335 + }, + { + "epoch": 0.15, + "grad_norm": 0.38841030468445586, + "learning_rate": 0.0009603249433382144, + "loss": 2.4967, + "step": 336 + }, + { + "epoch": 0.15, + "grad_norm": 0.2531117025642261, + "learning_rate": 0.0009600344961220282, + "loss": 2.5499, + "step": 337 + }, + { + "epoch": 0.15, + "grad_norm": 0.26699663949518543, + "learning_rate": 0.0009597430338981791, + "loss": 2.5438, + "step": 338 + }, + { + "epoch": 0.16, + "grad_norm": 0.3115428999287217, + "learning_rate": 0.0009594505573097414, + "loss": 2.5238, + "step": 339 + }, + { + "epoch": 0.16, + "grad_norm": 0.31981913987689775, + "learning_rate": 0.0009591570670020277, + "loss": 2.6135, + "step": 340 + }, + { + "epoch": 0.16, + "grad_norm": 0.30483462481777157, + "learning_rate": 0.0009588625636225871, + "loss": 2.5353, + "step": 341 + }, + { + "epoch": 0.16, + "grad_norm": 0.497471969678511, + "learning_rate": 0.0009585670478212036, + "loss": 2.5704, + "step": 342 + }, + { + "epoch": 0.16, + "grad_norm": 0.2741563196984564, + "learning_rate": 0.0009582705202498956, + "loss": 2.5753, + "step": 343 + }, + { + "epoch": 0.16, + "grad_norm": 0.4041368975316352, + "learning_rate": 0.0009579729815629133, + "loss": 2.4716, + "step": 344 + }, + { + "epoch": 0.16, + "grad_norm": 0.2323256663029621, + "learning_rate": 0.0009576744324167379, + "loss": 2.6081, + "step": 345 + }, + { + "epoch": 0.16, + "grad_norm": 0.3095996276768797, + "learning_rate": 0.0009573748734700804, + "loss": 2.5574, + "step": 346 + }, + { + "epoch": 0.16, + "grad_norm": 0.2347644657122629, + "learning_rate": 0.0009570743053838796, + "loss": 2.6287, + "step": 347 + }, + { + "epoch": 0.16, + "grad_norm": 1.230129316090552, + "learning_rate": 0.0009567727288213005, + "loss": 2.5612, + "step": 348 + }, + { + "epoch": 0.16, + "grad_norm": 0.312513382655126, + "learning_rate": 0.0009564701444477337, + "loss": 2.5412, + "step": 349 + }, + { + "epoch": 0.16, + "grad_norm": 0.29306169909258206, + "learning_rate": 0.000956166552930793, + "loss": 2.5825, + "step": 350 + }, + { + "epoch": 0.16, + "grad_norm": 0.41582562358594316, + "learning_rate": 0.0009558619549403147, + "loss": 2.5352, + "step": 351 + }, + { + "epoch": 0.16, + "grad_norm": 0.24212448365671677, + "learning_rate": 0.0009555563511483555, + "loss": 2.5216, + "step": 352 + }, + { + "epoch": 0.16, + "grad_norm": 0.22614785600091616, + "learning_rate": 0.0009552497422291912, + "loss": 2.5255, + "step": 353 + }, + { + "epoch": 0.16, + "grad_norm": 3.199800912368347, + "learning_rate": 0.0009549421288593157, + "loss": 2.5728, + "step": 354 + }, + { + "epoch": 0.16, + "grad_norm": 0.35485161703560264, + "learning_rate": 0.0009546335117174385, + "loss": 2.6037, + "step": 355 + }, + { + "epoch": 0.16, + "grad_norm": 0.24453258748195944, + "learning_rate": 0.0009543238914844843, + "loss": 2.5388, + "step": 356 + }, + { + "epoch": 0.16, + "grad_norm": 0.403061657350811, + "learning_rate": 0.0009540132688435907, + "loss": 2.4898, + "step": 357 + }, + { + "epoch": 0.16, + "grad_norm": 0.2587874292120635, + "learning_rate": 0.0009537016444801074, + "loss": 2.5749, + "step": 358 + }, + { + "epoch": 0.16, + "grad_norm": 0.2961475540504943, + "learning_rate": 0.0009533890190815935, + "loss": 2.5807, + "step": 359 + }, + { + "epoch": 0.17, + "grad_norm": 0.22191430055017883, + "learning_rate": 0.0009530753933378173, + "loss": 2.5329, + "step": 360 + }, + { + "epoch": 0.17, + "grad_norm": 0.24726715187349263, + "learning_rate": 0.0009527607679407545, + "loss": 2.5156, + "step": 361 + }, + { + "epoch": 0.17, + "grad_norm": 0.2626248686156067, + "learning_rate": 0.0009524451435845857, + "loss": 2.5396, + "step": 362 + }, + { + "epoch": 0.17, + "grad_norm": 0.2695892022178038, + "learning_rate": 0.0009521285209656963, + "loss": 2.532, + "step": 363 + }, + { + "epoch": 0.17, + "grad_norm": 0.28467743945309887, + "learning_rate": 0.0009518109007826734, + "loss": 2.4994, + "step": 364 + }, + { + "epoch": 0.17, + "grad_norm": 0.24822240456160663, + "learning_rate": 0.0009514922837363059, + "loss": 2.5485, + "step": 365 + }, + { + "epoch": 0.17, + "grad_norm": 0.26775712893221276, + "learning_rate": 0.0009511726705295817, + "loss": 2.516, + "step": 366 + }, + { + "epoch": 0.17, + "grad_norm": 0.23630246901871552, + "learning_rate": 0.000950852061867687, + "loss": 2.5466, + "step": 367 + }, + { + "epoch": 0.17, + "grad_norm": 0.2084717698182876, + "learning_rate": 0.0009505304584580038, + "loss": 2.4778, + "step": 368 + }, + { + "epoch": 0.17, + "grad_norm": 0.2282390971123192, + "learning_rate": 0.0009502078610101092, + "loss": 2.559, + "step": 369 + }, + { + "epoch": 0.17, + "grad_norm": 0.22511098057298112, + "learning_rate": 0.0009498842702357736, + "loss": 2.5442, + "step": 370 + }, + { + "epoch": 0.17, + "grad_norm": 0.22249997905472296, + "learning_rate": 0.0009495596868489587, + "loss": 2.4418, + "step": 371 + }, + { + "epoch": 0.17, + "grad_norm": 0.22681400521284273, + "learning_rate": 0.0009492341115658167, + "loss": 2.4528, + "step": 372 + }, + { + "epoch": 0.17, + "grad_norm": 0.24216937085357818, + "learning_rate": 0.0009489075451046879, + "loss": 2.4743, + "step": 373 + }, + { + "epoch": 0.17, + "grad_norm": 0.20652486824076494, + "learning_rate": 0.0009485799881861, + "loss": 2.472, + "step": 374 + }, + { + "epoch": 0.17, + "grad_norm": 0.23630893196470576, + "learning_rate": 0.0009482514415327654, + "loss": 2.655, + "step": 375 + }, + { + "epoch": 0.17, + "grad_norm": 0.23962543892445873, + "learning_rate": 0.000947921905869581, + "loss": 2.4349, + "step": 376 + }, + { + "epoch": 0.17, + "grad_norm": 0.2030928997837339, + "learning_rate": 0.0009475913819236248, + "loss": 2.4466, + "step": 377 + }, + { + "epoch": 0.17, + "grad_norm": 0.24825214645690102, + "learning_rate": 0.0009472598704241561, + "loss": 2.5037, + "step": 378 + }, + { + "epoch": 0.17, + "grad_norm": 0.19707397801968132, + "learning_rate": 0.0009469273721026131, + "loss": 2.4901, + "step": 379 + }, + { + "epoch": 0.17, + "grad_norm": 0.2338732110706325, + "learning_rate": 0.0009465938876926111, + "loss": 2.4779, + "step": 380 + }, + { + "epoch": 0.17, + "grad_norm": 0.24189949821344117, + "learning_rate": 0.0009462594179299406, + "loss": 2.423, + "step": 381 + }, + { + "epoch": 0.18, + "grad_norm": 0.23190175642179273, + "learning_rate": 0.0009459239635525672, + "loss": 2.4773, + "step": 382 + }, + { + "epoch": 0.18, + "grad_norm": 0.2325892481960379, + "learning_rate": 0.0009455875253006281, + "loss": 2.5214, + "step": 383 + }, + { + "epoch": 0.18, + "grad_norm": 0.3465889910349687, + "learning_rate": 0.0009452501039164315, + "loss": 2.5612, + "step": 384 + }, + { + "epoch": 0.18, + "grad_norm": 0.22844933911344173, + "learning_rate": 0.0009449117001444549, + "loss": 2.5201, + "step": 385 + }, + { + "epoch": 0.18, + "grad_norm": 0.21993552132703634, + "learning_rate": 0.0009445723147313433, + "loss": 2.4697, + "step": 386 + }, + { + "epoch": 0.18, + "grad_norm": 0.23502112840926154, + "learning_rate": 0.0009442319484259074, + "loss": 2.3488, + "step": 387 + }, + { + "epoch": 0.18, + "grad_norm": 0.252153402717478, + "learning_rate": 0.0009438906019791222, + "loss": 2.4759, + "step": 388 + }, + { + "epoch": 0.18, + "grad_norm": 0.21018655238430012, + "learning_rate": 0.0009435482761441251, + "loss": 2.5721, + "step": 389 + }, + { + "epoch": 0.18, + "grad_norm": 0.26808481229498776, + "learning_rate": 0.000943204971676215, + "loss": 2.4398, + "step": 390 + }, + { + "epoch": 0.18, + "grad_norm": 0.21779778696655663, + "learning_rate": 0.0009428606893328493, + "loss": 2.4588, + "step": 391 + }, + { + "epoch": 0.18, + "grad_norm": 0.25508339975782446, + "learning_rate": 0.0009425154298736432, + "loss": 2.5685, + "step": 392 + }, + { + "epoch": 0.18, + "grad_norm": 0.22490668125183028, + "learning_rate": 0.0009421691940603678, + "loss": 2.5775, + "step": 393 + }, + { + "epoch": 0.18, + "grad_norm": 0.2249564364855568, + "learning_rate": 0.0009418219826569488, + "loss": 2.3819, + "step": 394 + }, + { + "epoch": 0.18, + "grad_norm": 0.21652201172433794, + "learning_rate": 0.0009414737964294635, + "loss": 2.5289, + "step": 395 + }, + { + "epoch": 0.18, + "grad_norm": 0.23087123620886738, + "learning_rate": 0.000941124636146141, + "loss": 2.4889, + "step": 396 + }, + { + "epoch": 0.18, + "grad_norm": 0.23545498235108664, + "learning_rate": 0.0009407745025773589, + "loss": 2.4443, + "step": 397 + }, + { + "epoch": 0.18, + "grad_norm": 0.2170195249154736, + "learning_rate": 0.0009404233964956423, + "loss": 2.4976, + "step": 398 + }, + { + "epoch": 0.18, + "grad_norm": 0.259659306426799, + "learning_rate": 0.0009400713186756625, + "loss": 2.4226, + "step": 399 + }, + { + "epoch": 0.18, + "grad_norm": 0.24418664020215997, + "learning_rate": 0.0009397182698942342, + "loss": 2.5256, + "step": 400 + }, + { + "epoch": 0.18, + "grad_norm": 0.24907251876402392, + "learning_rate": 0.0009393642509303149, + "loss": 2.5905, + "step": 401 + }, + { + "epoch": 0.18, + "grad_norm": 0.2324191400034502, + "learning_rate": 0.0009390092625650023, + "loss": 2.4809, + "step": 402 + }, + { + "epoch": 0.18, + "grad_norm": 0.2479198984124518, + "learning_rate": 0.0009386533055815332, + "loss": 2.4708, + "step": 403 + }, + { + "epoch": 0.19, + "grad_norm": 0.22009000979645943, + "learning_rate": 0.0009382963807652813, + "loss": 2.417, + "step": 404 + }, + { + "epoch": 0.19, + "grad_norm": 0.22820255895293776, + "learning_rate": 0.000937938488903756, + "loss": 2.5519, + "step": 405 + }, + { + "epoch": 0.19, + "grad_norm": 0.24983542487514318, + "learning_rate": 0.0009375796307866003, + "loss": 2.4596, + "step": 406 + }, + { + "epoch": 0.19, + "grad_norm": 0.20968411385161706, + "learning_rate": 0.0009372198072055888, + "loss": 2.3977, + "step": 407 + }, + { + "epoch": 0.19, + "grad_norm": 0.23522003095493732, + "learning_rate": 0.0009368590189546268, + "loss": 2.5229, + "step": 408 + }, + { + "epoch": 0.19, + "grad_norm": 0.21867102622388068, + "learning_rate": 0.0009364972668297474, + "loss": 2.5352, + "step": 409 + }, + { + "epoch": 0.19, + "grad_norm": 0.2427595149806782, + "learning_rate": 0.0009361345516291111, + "loss": 2.457, + "step": 410 + }, + { + "epoch": 0.19, + "grad_norm": 0.24624307699752854, + "learning_rate": 0.0009357708741530024, + "loss": 2.4999, + "step": 411 + }, + { + "epoch": 0.19, + "grad_norm": 0.20411934583397426, + "learning_rate": 0.00093540623520383, + "loss": 2.3988, + "step": 412 + }, + { + "epoch": 0.19, + "grad_norm": 0.20798247995767968, + "learning_rate": 0.000935040635586123, + "loss": 2.469, + "step": 413 + }, + { + "epoch": 0.19, + "grad_norm": 0.22308432548454912, + "learning_rate": 0.0009346740761065305, + "loss": 2.4577, + "step": 414 + }, + { + "epoch": 0.19, + "grad_norm": 0.26893936224953247, + "learning_rate": 0.0009343065575738197, + "loss": 2.4627, + "step": 415 + }, + { + "epoch": 0.19, + "grad_norm": 0.23181250257456554, + "learning_rate": 0.0009339380807988733, + "loss": 2.4481, + "step": 416 + }, + { + "epoch": 0.19, + "grad_norm": 0.4710626042800092, + "learning_rate": 0.0009335686465946887, + "loss": 2.6139, + "step": 417 + }, + { + "epoch": 0.19, + "grad_norm": 0.29654075658920276, + "learning_rate": 0.0009331982557763754, + "loss": 2.3753, + "step": 418 + }, + { + "epoch": 0.19, + "grad_norm": 0.2916196648685602, + "learning_rate": 0.0009328269091611537, + "loss": 2.5643, + "step": 419 + }, + { + "epoch": 0.19, + "grad_norm": 0.25237095366661694, + "learning_rate": 0.0009324546075683524, + "loss": 2.4877, + "step": 420 + }, + { + "epoch": 0.19, + "grad_norm": 0.22584476966297573, + "learning_rate": 0.0009320813518194083, + "loss": 2.3215, + "step": 421 + }, + { + "epoch": 0.19, + "grad_norm": 0.34199853274773573, + "learning_rate": 0.0009317071427378624, + "loss": 2.4135, + "step": 422 + }, + { + "epoch": 0.19, + "grad_norm": 0.2366242724909103, + "learning_rate": 0.0009313319811493594, + "loss": 2.5269, + "step": 423 + }, + { + "epoch": 0.19, + "grad_norm": 0.2064178580144876, + "learning_rate": 0.000930955867881646, + "loss": 2.3445, + "step": 424 + }, + { + "epoch": 0.19, + "grad_norm": 0.2256422223670338, + "learning_rate": 0.0009305788037645681, + "loss": 2.5281, + "step": 425 + }, + { + "epoch": 0.2, + "grad_norm": 0.22461738207238655, + "learning_rate": 0.0009302007896300697, + "loss": 2.4717, + "step": 426 + }, + { + "epoch": 0.2, + "grad_norm": 0.24049128500155229, + "learning_rate": 0.0009298218263121911, + "loss": 2.422, + "step": 427 + }, + { + "epoch": 0.2, + "grad_norm": 0.23692615481512005, + "learning_rate": 0.0009294419146470668, + "loss": 2.5149, + "step": 428 + }, + { + "epoch": 0.2, + "grad_norm": 0.20675669064975458, + "learning_rate": 0.0009290610554729234, + "loss": 2.4264, + "step": 429 + }, + { + "epoch": 0.2, + "grad_norm": 0.376023309762259, + "learning_rate": 0.0009286792496300784, + "loss": 2.5531, + "step": 430 + }, + { + "epoch": 0.2, + "grad_norm": 0.20928554921892148, + "learning_rate": 0.0009282964979609379, + "loss": 2.5273, + "step": 431 + }, + { + "epoch": 0.2, + "grad_norm": 0.2056501954310486, + "learning_rate": 0.0009279128013099947, + "loss": 2.4772, + "step": 432 + }, + { + "epoch": 0.2, + "grad_norm": 0.23481073302102604, + "learning_rate": 0.0009275281605238268, + "loss": 2.4741, + "step": 433 + }, + { + "epoch": 0.2, + "grad_norm": 0.21483835439476132, + "learning_rate": 0.0009271425764510953, + "loss": 2.4483, + "step": 434 + }, + { + "epoch": 0.2, + "grad_norm": 0.22700853412110927, + "learning_rate": 0.0009267560499425423, + "loss": 2.4469, + "step": 435 + }, + { + "epoch": 0.2, + "grad_norm": 0.22187936941292152, + "learning_rate": 0.0009263685818509895, + "loss": 2.4396, + "step": 436 + }, + { + "epoch": 0.2, + "grad_norm": 0.19866276989777332, + "learning_rate": 0.000925980173031336, + "loss": 2.4085, + "step": 437 + }, + { + "epoch": 0.2, + "grad_norm": 0.2420081498456651, + "learning_rate": 0.0009255908243405567, + "loss": 2.4206, + "step": 438 + }, + { + "epoch": 0.2, + "grad_norm": 0.32196214725802497, + "learning_rate": 0.0009252005366376996, + "loss": 2.5171, + "step": 439 + }, + { + "epoch": 0.2, + "grad_norm": 0.656139937938564, + "learning_rate": 0.0009248093107838852, + "loss": 2.3876, + "step": 440 + }, + { + "epoch": 0.2, + "grad_norm": 0.2292508626104499, + "learning_rate": 0.0009244171476423036, + "loss": 2.4913, + "step": 441 + }, + { + "epoch": 0.2, + "grad_norm": 0.2514520532393082, + "learning_rate": 0.0009240240480782129, + "loss": 2.3984, + "step": 442 + }, + { + "epoch": 0.2, + "grad_norm": 0.24722039656627623, + "learning_rate": 0.0009236300129589376, + "loss": 2.4797, + "step": 443 + }, + { + "epoch": 0.2, + "grad_norm": 0.23217974052113197, + "learning_rate": 0.0009232350431538657, + "loss": 2.4446, + "step": 444 + }, + { + "epoch": 0.2, + "grad_norm": 0.2465976110275916, + "learning_rate": 0.0009228391395344482, + "loss": 2.4833, + "step": 445 + }, + { + "epoch": 0.2, + "grad_norm": 0.2964307924613834, + "learning_rate": 0.000922442302974196, + "loss": 2.4422, + "step": 446 + }, + { + "epoch": 0.2, + "grad_norm": 0.2958105133486997, + "learning_rate": 0.0009220445343486785, + "loss": 2.5096, + "step": 447 + }, + { + "epoch": 0.21, + "grad_norm": 0.20742642232919467, + "learning_rate": 0.0009216458345355217, + "loss": 2.476, + "step": 448 + }, + { + "epoch": 0.21, + "grad_norm": 0.2939197760413958, + "learning_rate": 0.0009212462044144061, + "loss": 2.3075, + "step": 449 + }, + { + "epoch": 0.21, + "grad_norm": 0.22831308952967008, + "learning_rate": 0.0009208456448670648, + "loss": 2.3645, + "step": 450 + }, + { + "epoch": 0.21, + "grad_norm": 0.2046184427803563, + "learning_rate": 0.0009204441567772816, + "loss": 2.5325, + "step": 451 + }, + { + "epoch": 0.21, + "grad_norm": 0.218976544652746, + "learning_rate": 0.0009200417410308888, + "loss": 2.4718, + "step": 452 + }, + { + "epoch": 0.21, + "grad_norm": 0.4169027678599138, + "learning_rate": 0.0009196383985157656, + "loss": 2.4338, + "step": 453 + }, + { + "epoch": 0.21, + "grad_norm": 0.22471421905704042, + "learning_rate": 0.000919234130121836, + "loss": 2.4738, + "step": 454 + }, + { + "epoch": 0.21, + "grad_norm": 0.22223962907276715, + "learning_rate": 0.0009188289367410672, + "loss": 2.3882, + "step": 455 + }, + { + "epoch": 0.21, + "grad_norm": 0.24389398730912437, + "learning_rate": 0.0009184228192674666, + "loss": 2.3694, + "step": 456 + }, + { + "epoch": 0.21, + "grad_norm": 0.21451366449639808, + "learning_rate": 0.0009180157785970808, + "loss": 2.4673, + "step": 457 + }, + { + "epoch": 0.21, + "grad_norm": 0.21329521493092138, + "learning_rate": 0.0009176078156279932, + "loss": 2.4373, + "step": 458 + }, + { + "epoch": 0.21, + "grad_norm": 0.21841560134213592, + "learning_rate": 0.0009171989312603226, + "loss": 2.4582, + "step": 459 + }, + { + "epoch": 0.21, + "grad_norm": 0.21433374431620714, + "learning_rate": 0.0009167891263962202, + "loss": 2.3777, + "step": 460 + }, + { + "epoch": 0.21, + "grad_norm": 0.21076283005751678, + "learning_rate": 0.0009163784019398685, + "loss": 2.5632, + "step": 461 + }, + { + "epoch": 0.21, + "grad_norm": 0.2317826379608557, + "learning_rate": 0.0009159667587974785, + "loss": 2.3418, + "step": 462 + }, + { + "epoch": 0.21, + "grad_norm": 0.21140652198332757, + "learning_rate": 0.0009155541978772887, + "loss": 2.3636, + "step": 463 + }, + { + "epoch": 0.21, + "grad_norm": 0.21700199296556189, + "learning_rate": 0.0009151407200895625, + "loss": 2.4332, + "step": 464 + }, + { + "epoch": 0.21, + "grad_norm": 0.21563581553204864, + "learning_rate": 0.000914726326346586, + "loss": 2.4558, + "step": 465 + }, + { + "epoch": 0.21, + "grad_norm": 0.27401473087278994, + "learning_rate": 0.0009143110175626661, + "loss": 2.4574, + "step": 466 + }, + { + "epoch": 0.21, + "grad_norm": 0.23359146797667518, + "learning_rate": 0.0009138947946541291, + "loss": 2.4475, + "step": 467 + }, + { + "epoch": 0.21, + "grad_norm": 0.20337007677553431, + "learning_rate": 0.0009134776585393181, + "loss": 2.3648, + "step": 468 + }, + { + "epoch": 0.22, + "grad_norm": 0.20548678898069075, + "learning_rate": 0.0009130596101385906, + "loss": 2.5058, + "step": 469 + }, + { + "epoch": 0.22, + "grad_norm": 0.1983072404050006, + "learning_rate": 0.0009126406503743174, + "loss": 2.4441, + "step": 470 + }, + { + "epoch": 0.22, + "grad_norm": 0.19573282475927392, + "learning_rate": 0.0009122207801708802, + "loss": 2.3784, + "step": 471 + }, + { + "epoch": 0.22, + "grad_norm": 0.20887133066575367, + "learning_rate": 0.0009118000004546689, + "loss": 2.3518, + "step": 472 + }, + { + "epoch": 0.22, + "grad_norm": 0.20451510673611523, + "learning_rate": 0.0009113783121540807, + "loss": 2.4296, + "step": 473 + }, + { + "epoch": 0.22, + "grad_norm": 0.23003735727880745, + "learning_rate": 0.0009109557161995172, + "loss": 2.5437, + "step": 474 + }, + { + "epoch": 0.22, + "grad_norm": 0.22329661643155108, + "learning_rate": 0.0009105322135233828, + "loss": 2.4263, + "step": 475 + }, + { + "epoch": 0.22, + "grad_norm": 0.2311749107313663, + "learning_rate": 0.0009101078050600821, + "loss": 2.4799, + "step": 476 + }, + { + "epoch": 0.22, + "grad_norm": 0.21077159822014843, + "learning_rate": 0.0009096824917460186, + "loss": 2.3934, + "step": 477 + }, + { + "epoch": 0.22, + "grad_norm": 0.23273551705487114, + "learning_rate": 0.0009092562745195921, + "loss": 2.4765, + "step": 478 + }, + { + "epoch": 0.22, + "grad_norm": 0.20348622126366023, + "learning_rate": 0.0009088291543211967, + "loss": 2.3589, + "step": 479 + }, + { + "epoch": 0.22, + "grad_norm": 0.29917308023971134, + "learning_rate": 0.0009084011320932188, + "loss": 2.3977, + "step": 480 + }, + { + "epoch": 0.22, + "grad_norm": 0.2240233328471604, + "learning_rate": 0.0009079722087800352, + "loss": 2.3624, + "step": 481 + }, + { + "epoch": 0.22, + "grad_norm": 0.264946541041109, + "learning_rate": 0.0009075423853280106, + "loss": 2.4174, + "step": 482 + }, + { + "epoch": 0.22, + "grad_norm": 0.2067416289958836, + "learning_rate": 0.0009071116626854958, + "loss": 2.4683, + "step": 483 + }, + { + "epoch": 0.22, + "grad_norm": 0.21804443835595105, + "learning_rate": 0.0009066800418028256, + "loss": 2.3821, + "step": 484 + }, + { + "epoch": 0.22, + "grad_norm": 0.20887622182622434, + "learning_rate": 0.0009062475236323168, + "loss": 2.4204, + "step": 485 + }, + { + "epoch": 0.22, + "grad_norm": 0.19760867706820356, + "learning_rate": 0.0009058141091282656, + "loss": 2.3633, + "step": 486 + }, + { + "epoch": 0.22, + "grad_norm": 0.2596812147923856, + "learning_rate": 0.0009053797992469461, + "loss": 2.5797, + "step": 487 + }, + { + "epoch": 0.22, + "grad_norm": 0.30979846882101825, + "learning_rate": 0.0009049445949466078, + "loss": 2.438, + "step": 488 + }, + { + "epoch": 0.22, + "grad_norm": 0.21976708697845465, + "learning_rate": 0.0009045084971874737, + "loss": 2.3821, + "step": 489 + }, + { + "epoch": 0.22, + "grad_norm": 0.26724957221663764, + "learning_rate": 0.0009040715069317382, + "loss": 2.349, + "step": 490 + }, + { + "epoch": 0.23, + "grad_norm": 0.20852210950888997, + "learning_rate": 0.0009036336251435648, + "loss": 2.4259, + "step": 491 + }, + { + "epoch": 0.23, + "grad_norm": 0.20953732860842395, + "learning_rate": 0.0009031948527890839, + "loss": 2.4767, + "step": 492 + }, + { + "epoch": 0.23, + "grad_norm": 0.21564146223863298, + "learning_rate": 0.000902755190836391, + "loss": 2.3925, + "step": 493 + }, + { + "epoch": 0.23, + "grad_norm": 0.22303540610094452, + "learning_rate": 0.0009023146402555442, + "loss": 2.5553, + "step": 494 + }, + { + "epoch": 0.23, + "grad_norm": 0.3167420975414526, + "learning_rate": 0.0009018732020185624, + "loss": 2.4242, + "step": 495 + }, + { + "epoch": 0.23, + "grad_norm": 0.21488045658744837, + "learning_rate": 0.0009014308770994235, + "loss": 2.339, + "step": 496 + }, + { + "epoch": 0.23, + "grad_norm": 0.23487915201224632, + "learning_rate": 0.0009009876664740605, + "loss": 2.4191, + "step": 497 + }, + { + "epoch": 0.23, + "grad_norm": 0.2478952830933866, + "learning_rate": 0.0009005435711203618, + "loss": 2.4027, + "step": 498 + }, + { + "epoch": 0.23, + "grad_norm": 0.21374886931597525, + "learning_rate": 0.000900098592018167, + "loss": 2.3841, + "step": 499 + }, + { + "epoch": 0.23, + "grad_norm": 0.3361911458848779, + "learning_rate": 0.0008996527301492663, + "loss": 2.4415, + "step": 500 + }, + { + "epoch": 0.23, + "grad_norm": 0.24769890503372907, + "learning_rate": 0.0008992059864973972, + "loss": 2.3923, + "step": 501 + }, + { + "epoch": 0.23, + "grad_norm": 0.20914863750413765, + "learning_rate": 0.0008987583620482427, + "loss": 2.3953, + "step": 502 + }, + { + "epoch": 0.23, + "grad_norm": 0.21183630108056073, + "learning_rate": 0.0008983098577894292, + "loss": 2.4063, + "step": 503 + }, + { + "epoch": 0.23, + "grad_norm": 0.23564931821882754, + "learning_rate": 0.0008978604747105246, + "loss": 2.3431, + "step": 504 + }, + { + "epoch": 0.23, + "grad_norm": 0.24860652518481535, + "learning_rate": 0.0008974102138030354, + "loss": 2.4204, + "step": 505 + }, + { + "epoch": 0.23, + "grad_norm": 0.2550527418934057, + "learning_rate": 0.000896959076060405, + "loss": 2.457, + "step": 506 + }, + { + "epoch": 0.23, + "grad_norm": 0.22306945023809946, + "learning_rate": 0.0008965070624780116, + "loss": 2.3422, + "step": 507 + }, + { + "epoch": 0.23, + "grad_norm": 0.20084927846012107, + "learning_rate": 0.0008960541740531658, + "loss": 2.4928, + "step": 508 + }, + { + "epoch": 0.23, + "grad_norm": 0.19632627513684062, + "learning_rate": 0.0008956004117851083, + "loss": 2.4219, + "step": 509 + }, + { + "epoch": 0.23, + "grad_norm": 0.2165555879303392, + "learning_rate": 0.0008951457766750079, + "loss": 2.4041, + "step": 510 + }, + { + "epoch": 0.23, + "grad_norm": 0.2176244634978172, + "learning_rate": 0.0008946902697259593, + "loss": 2.3943, + "step": 511 + }, + { + "epoch": 0.23, + "grad_norm": 0.3272669909320465, + "learning_rate": 0.0008942338919429805, + "loss": 2.4134, + "step": 512 + }, + { + "epoch": 0.24, + "grad_norm": 0.20099338364821506, + "learning_rate": 0.0008937766443330113, + "loss": 2.3729, + "step": 513 + }, + { + "epoch": 0.24, + "grad_norm": 0.23262943610630704, + "learning_rate": 0.0008933185279049103, + "loss": 2.4557, + "step": 514 + }, + { + "epoch": 0.24, + "grad_norm": 0.22496695506197298, + "learning_rate": 0.0008928595436694532, + "loss": 2.4638, + "step": 515 + }, + { + "epoch": 0.24, + "grad_norm": 0.20141524594427854, + "learning_rate": 0.0008923996926393305, + "loss": 2.2829, + "step": 516 + }, + { + "epoch": 0.24, + "grad_norm": 0.20598645698167217, + "learning_rate": 0.0008919389758291449, + "loss": 2.4188, + "step": 517 + }, + { + "epoch": 0.24, + "grad_norm": 0.23622830188364277, + "learning_rate": 0.0008914773942554098, + "loss": 2.4293, + "step": 518 + }, + { + "epoch": 0.24, + "grad_norm": 0.3483381310896749, + "learning_rate": 0.000891014948936546, + "loss": 2.5452, + "step": 519 + }, + { + "epoch": 0.24, + "grad_norm": 0.19296938480701972, + "learning_rate": 0.0008905516408928804, + "loss": 2.4789, + "step": 520 + }, + { + "epoch": 0.24, + "grad_norm": 0.24609843293317585, + "learning_rate": 0.0008900874711466434, + "loss": 2.3897, + "step": 521 + }, + { + "epoch": 0.24, + "grad_norm": 0.24864621690391547, + "learning_rate": 0.0008896224407219666, + "loss": 2.4935, + "step": 522 + }, + { + "epoch": 0.24, + "grad_norm": 0.20484951705170515, + "learning_rate": 0.0008891565506448804, + "loss": 2.4352, + "step": 523 + }, + { + "epoch": 0.24, + "grad_norm": 0.2669855623951663, + "learning_rate": 0.0008886898019433122, + "loss": 2.2807, + "step": 524 + }, + { + "epoch": 0.24, + "grad_norm": 0.25340569076951064, + "learning_rate": 0.0008882221956470836, + "loss": 2.4292, + "step": 525 + }, + { + "epoch": 0.24, + "grad_norm": 0.23151207906462135, + "learning_rate": 0.0008877537327879086, + "loss": 2.3664, + "step": 526 + }, + { + "epoch": 0.24, + "grad_norm": 0.23649736754179107, + "learning_rate": 0.0008872844143993908, + "loss": 2.3583, + "step": 527 + }, + { + "epoch": 0.24, + "grad_norm": 0.21240447920797598, + "learning_rate": 0.0008868142415170218, + "loss": 2.4167, + "step": 528 + }, + { + "epoch": 0.24, + "grad_norm": 0.2721591028654908, + "learning_rate": 0.0008863432151781781, + "loss": 2.5031, + "step": 529 + }, + { + "epoch": 0.24, + "grad_norm": 0.19096215240533407, + "learning_rate": 0.0008858713364221195, + "loss": 2.3601, + "step": 530 + }, + { + "epoch": 0.24, + "grad_norm": 0.2046198990848414, + "learning_rate": 0.0008853986062899868, + "loss": 2.3968, + "step": 531 + }, + { + "epoch": 0.24, + "grad_norm": 0.24970964399913645, + "learning_rate": 0.0008849250258247986, + "loss": 2.4135, + "step": 532 + }, + { + "epoch": 0.24, + "grad_norm": 0.2057778519880038, + "learning_rate": 0.0008844505960714503, + "loss": 2.3534, + "step": 533 + }, + { + "epoch": 0.24, + "grad_norm": 0.21465961945404075, + "learning_rate": 0.0008839753180767108, + "loss": 2.3701, + "step": 534 + }, + { + "epoch": 0.25, + "grad_norm": 0.25732585858458407, + "learning_rate": 0.0008834991928892204, + "loss": 2.4429, + "step": 535 + }, + { + "epoch": 0.25, + "grad_norm": 0.21365043954618054, + "learning_rate": 0.000883022221559489, + "loss": 2.4283, + "step": 536 + }, + { + "epoch": 0.25, + "grad_norm": 0.24680465357320902, + "learning_rate": 0.0008825444051398934, + "loss": 2.399, + "step": 537 + }, + { + "epoch": 0.25, + "grad_norm": 0.26093165498943477, + "learning_rate": 0.0008820657446846745, + "loss": 2.4116, + "step": 538 + }, + { + "epoch": 0.25, + "grad_norm": 0.2355947219046093, + "learning_rate": 0.000881586241249936, + "loss": 2.4024, + "step": 539 + }, + { + "epoch": 0.25, + "grad_norm": 0.3241075278272244, + "learning_rate": 0.0008811058958936411, + "loss": 2.4542, + "step": 540 + }, + { + "epoch": 0.25, + "grad_norm": 0.1999214090036047, + "learning_rate": 0.000880624709675611, + "loss": 2.3668, + "step": 541 + }, + { + "epoch": 0.25, + "grad_norm": 0.2737352499451527, + "learning_rate": 0.000880142683657522, + "loss": 2.3845, + "step": 542 + }, + { + "epoch": 0.25, + "grad_norm": 0.26357771066534397, + "learning_rate": 0.0008796598189029029, + "loss": 2.3453, + "step": 543 + }, + { + "epoch": 0.25, + "grad_norm": 0.2757845839473988, + "learning_rate": 0.0008791761164771338, + "loss": 2.4009, + "step": 544 + }, + { + "epoch": 0.25, + "grad_norm": 0.2262926643916019, + "learning_rate": 0.0008786915774474424, + "loss": 2.3193, + "step": 545 + }, + { + "epoch": 0.25, + "grad_norm": 0.2681246344456434, + "learning_rate": 0.0008782062028829027, + "loss": 2.3441, + "step": 546 + }, + { + "epoch": 0.25, + "grad_norm": 0.20248358326103355, + "learning_rate": 0.0008777199938544318, + "loss": 2.3992, + "step": 547 + }, + { + "epoch": 0.25, + "grad_norm": 0.20862031535845815, + "learning_rate": 0.0008772329514347883, + "loss": 2.2813, + "step": 548 + }, + { + "epoch": 0.25, + "grad_norm": 0.2184798913741189, + "learning_rate": 0.0008767450766985694, + "loss": 2.4004, + "step": 549 + }, + { + "epoch": 0.25, + "grad_norm": 0.18995957948272044, + "learning_rate": 0.0008762563707222086, + "loss": 2.4303, + "step": 550 + }, + { + "epoch": 0.25, + "grad_norm": 0.20959668134058398, + "learning_rate": 0.0008757668345839738, + "loss": 2.468, + "step": 551 + }, + { + "epoch": 0.25, + "grad_norm": 0.27292510406315823, + "learning_rate": 0.0008752764693639638, + "loss": 2.4601, + "step": 552 + }, + { + "epoch": 0.25, + "grad_norm": 0.19840487305807933, + "learning_rate": 0.0008747852761441078, + "loss": 2.3421, + "step": 553 + }, + { + "epoch": 0.25, + "grad_norm": 0.20055448448728347, + "learning_rate": 0.0008742932560081607, + "loss": 2.3359, + "step": 554 + }, + { + "epoch": 0.25, + "grad_norm": 0.23286312814488175, + "learning_rate": 0.0008738004100417025, + "loss": 2.3448, + "step": 555 + }, + { + "epoch": 0.25, + "grad_norm": 0.1976749331690812, + "learning_rate": 0.0008733067393321355, + "loss": 2.469, + "step": 556 + }, + { + "epoch": 0.26, + "grad_norm": 0.25797412100545836, + "learning_rate": 0.000872812244968681, + "loss": 2.4306, + "step": 557 + }, + { + "epoch": 0.26, + "grad_norm": 0.2894067488982873, + "learning_rate": 0.0008723169280423783, + "loss": 2.4533, + "step": 558 + }, + { + "epoch": 0.26, + "grad_norm": 0.20442043723960854, + "learning_rate": 0.0008718207896460811, + "loss": 2.4385, + "step": 559 + }, + { + "epoch": 0.26, + "grad_norm": 0.24388858399066854, + "learning_rate": 0.0008713238308744557, + "loss": 2.4717, + "step": 560 + }, + { + "epoch": 0.26, + "grad_norm": 0.21292847247630436, + "learning_rate": 0.0008708260528239789, + "loss": 2.3366, + "step": 561 + }, + { + "epoch": 0.26, + "grad_norm": 0.19976489392785904, + "learning_rate": 0.000870327456592934, + "loss": 2.3744, + "step": 562 + }, + { + "epoch": 0.26, + "grad_norm": 0.21206258135815417, + "learning_rate": 0.0008698280432814107, + "loss": 2.4004, + "step": 563 + }, + { + "epoch": 0.26, + "grad_norm": 0.20954470296735697, + "learning_rate": 0.000869327813991301, + "loss": 2.4174, + "step": 564 + }, + { + "epoch": 0.26, + "grad_norm": 0.21800195919666462, + "learning_rate": 0.0008688267698262971, + "loss": 2.4124, + "step": 565 + }, + { + "epoch": 0.26, + "grad_norm": 0.23516885549977773, + "learning_rate": 0.0008683249118918894, + "loss": 2.3878, + "step": 566 + }, + { + "epoch": 0.26, + "grad_norm": 0.2101725173734163, + "learning_rate": 0.0008678222412953637, + "loss": 2.4054, + "step": 567 + }, + { + "epoch": 0.26, + "grad_norm": 0.22889224585043877, + "learning_rate": 0.0008673187591457987, + "loss": 2.5794, + "step": 568 + }, + { + "epoch": 0.26, + "grad_norm": 0.2187492812026622, + "learning_rate": 0.0008668144665540639, + "loss": 2.4125, + "step": 569 + }, + { + "epoch": 0.26, + "grad_norm": 0.193578338408776, + "learning_rate": 0.0008663093646328167, + "loss": 2.4336, + "step": 570 + }, + { + "epoch": 0.26, + "grad_norm": 0.21541402518268304, + "learning_rate": 0.0008658034544965003, + "loss": 2.454, + "step": 571 + }, + { + "epoch": 0.26, + "grad_norm": 0.2698734535906141, + "learning_rate": 0.0008652967372613412, + "loss": 2.4178, + "step": 572 + }, + { + "epoch": 0.26, + "grad_norm": 0.18621398462622735, + "learning_rate": 0.0008647892140453466, + "loss": 2.395, + "step": 573 + }, + { + "epoch": 0.26, + "grad_norm": 0.2254863568333006, + "learning_rate": 0.0008642808859683021, + "loss": 2.3298, + "step": 574 + }, + { + "epoch": 0.26, + "grad_norm": 0.2484311273331186, + "learning_rate": 0.0008637717541517689, + "loss": 2.4352, + "step": 575 + }, + { + "epoch": 0.26, + "grad_norm": 0.21784843563444936, + "learning_rate": 0.0008632618197190816, + "loss": 2.4143, + "step": 576 + }, + { + "epoch": 0.26, + "grad_norm": 0.18494274768227145, + "learning_rate": 0.0008627510837953458, + "loss": 2.4224, + "step": 577 + }, + { + "epoch": 0.27, + "grad_norm": 0.1956293788016938, + "learning_rate": 0.0008622395475074355, + "loss": 2.3882, + "step": 578 + }, + { + "epoch": 0.27, + "grad_norm": 0.1975937784405231, + "learning_rate": 0.0008617272119839903, + "loss": 2.3548, + "step": 579 + }, + { + "epoch": 0.27, + "grad_norm": 0.2174944822781471, + "learning_rate": 0.0008612140783554136, + "loss": 2.2991, + "step": 580 + }, + { + "epoch": 0.27, + "grad_norm": 0.2094381648115037, + "learning_rate": 0.0008607001477538696, + "loss": 2.3997, + "step": 581 + }, + { + "epoch": 0.27, + "grad_norm": 0.21491611068237, + "learning_rate": 0.0008601854213132807, + "loss": 2.4631, + "step": 582 + }, + { + "epoch": 0.27, + "grad_norm": 0.24484071899162763, + "learning_rate": 0.0008596699001693256, + "loss": 2.3438, + "step": 583 + }, + { + "epoch": 0.27, + "grad_norm": 0.197539248230288, + "learning_rate": 0.000859153585459436, + "loss": 2.3695, + "step": 584 + }, + { + "epoch": 0.27, + "grad_norm": 0.19839716463046012, + "learning_rate": 0.0008586364783227949, + "loss": 2.346, + "step": 585 + }, + { + "epoch": 0.27, + "grad_norm": 0.2518523582373015, + "learning_rate": 0.0008581185799003332, + "loss": 2.3956, + "step": 586 + }, + { + "epoch": 0.27, + "grad_norm": 0.21542938108873624, + "learning_rate": 0.0008575998913347283, + "loss": 2.3763, + "step": 587 + }, + { + "epoch": 0.27, + "grad_norm": 0.2568553990776338, + "learning_rate": 0.0008570804137704004, + "loss": 2.3313, + "step": 588 + }, + { + "epoch": 0.27, + "grad_norm": 0.20235281636101288, + "learning_rate": 0.0008565601483535108, + "loss": 2.3154, + "step": 589 + }, + { + "epoch": 0.27, + "grad_norm": 0.2295542764071981, + "learning_rate": 0.0008560390962319591, + "loss": 2.3038, + "step": 590 + }, + { + "epoch": 0.27, + "grad_norm": 0.23857225207943458, + "learning_rate": 0.0008555172585553804, + "loss": 2.4039, + "step": 591 + }, + { + "epoch": 0.27, + "grad_norm": 0.21646702082850616, + "learning_rate": 0.0008549946364751435, + "loss": 2.3144, + "step": 592 + }, + { + "epoch": 0.27, + "grad_norm": 0.2626300808580288, + "learning_rate": 0.0008544712311443475, + "loss": 2.3865, + "step": 593 + }, + { + "epoch": 0.27, + "grad_norm": 0.19649068430260827, + "learning_rate": 0.0008539470437178196, + "loss": 2.3726, + "step": 594 + }, + { + "epoch": 0.27, + "grad_norm": 0.2352309802570764, + "learning_rate": 0.000853422075352113, + "loss": 2.3757, + "step": 595 + }, + { + "epoch": 0.27, + "grad_norm": 0.2137881470486359, + "learning_rate": 0.0008528963272055035, + "loss": 2.3862, + "step": 596 + }, + { + "epoch": 0.27, + "grad_norm": 0.20794025780059436, + "learning_rate": 0.0008523698004379877, + "loss": 2.3696, + "step": 597 + }, + { + "epoch": 0.27, + "grad_norm": 0.19989483787457923, + "learning_rate": 0.00085184249621128, + "loss": 2.4657, + "step": 598 + }, + { + "epoch": 0.27, + "grad_norm": 0.2344962326786526, + "learning_rate": 0.0008513144156888101, + "loss": 2.4402, + "step": 599 + }, + { + "epoch": 0.28, + "grad_norm": 0.2013813602991416, + "learning_rate": 0.0008507855600357207, + "loss": 2.4327, + "step": 600 + }, + { + "epoch": 0.28, + "grad_norm": 0.19700384967989573, + "learning_rate": 0.0008502559304188644, + "loss": 2.397, + "step": 601 + }, + { + "epoch": 0.28, + "grad_norm": 0.2549281385265782, + "learning_rate": 0.0008497255280068019, + "loss": 2.4236, + "step": 602 + }, + { + "epoch": 0.28, + "grad_norm": 0.21474110151975728, + "learning_rate": 0.0008491943539697986, + "loss": 2.2786, + "step": 603 + }, + { + "epoch": 0.28, + "grad_norm": 0.2035123052510544, + "learning_rate": 0.0008486624094798226, + "loss": 2.344, + "step": 604 + }, + { + "epoch": 0.28, + "grad_norm": 0.2251696375490433, + "learning_rate": 0.0008481296957105417, + "loss": 2.4343, + "step": 605 + }, + { + "epoch": 0.28, + "grad_norm": 0.2419176314896895, + "learning_rate": 0.0008475962138373213, + "loss": 2.3148, + "step": 606 + }, + { + "epoch": 0.28, + "grad_norm": 0.2195381469097167, + "learning_rate": 0.0008470619650372211, + "loss": 2.4232, + "step": 607 + }, + { + "epoch": 0.28, + "grad_norm": 0.26144703785516543, + "learning_rate": 0.0008465269504889934, + "loss": 2.3801, + "step": 608 + }, + { + "epoch": 0.28, + "grad_norm": 0.20116454519465898, + "learning_rate": 0.0008459911713730799, + "loss": 2.3737, + "step": 609 + }, + { + "epoch": 0.28, + "grad_norm": 0.2088106790770107, + "learning_rate": 0.0008454546288716089, + "loss": 2.4945, + "step": 610 + }, + { + "epoch": 0.28, + "grad_norm": 0.20234949831885418, + "learning_rate": 0.0008449173241683935, + "loss": 2.3904, + "step": 611 + }, + { + "epoch": 0.28, + "grad_norm": 0.19560218025364734, + "learning_rate": 0.0008443792584489281, + "loss": 2.4444, + "step": 612 + }, + { + "epoch": 0.28, + "grad_norm": 0.18390141461863452, + "learning_rate": 0.0008438404329003863, + "loss": 2.4053, + "step": 613 + }, + { + "epoch": 0.28, + "grad_norm": 0.18761271991611642, + "learning_rate": 0.0008433008487116183, + "loss": 2.4177, + "step": 614 + }, + { + "epoch": 0.28, + "grad_norm": 0.19536034728683432, + "learning_rate": 0.0008427605070731481, + "loss": 2.2697, + "step": 615 + }, + { + "epoch": 0.28, + "grad_norm": 0.211679348289352, + "learning_rate": 0.0008422194091771708, + "loss": 2.4451, + "step": 616 + }, + { + "epoch": 0.28, + "grad_norm": 0.19397610797730208, + "learning_rate": 0.0008416775562175503, + "loss": 2.2843, + "step": 617 + }, + { + "epoch": 0.28, + "grad_norm": 0.21871429229999056, + "learning_rate": 0.000841134949389816, + "loss": 2.3792, + "step": 618 + }, + { + "epoch": 0.28, + "grad_norm": 0.204490633497813, + "learning_rate": 0.0008405915898911611, + "loss": 2.3491, + "step": 619 + }, + { + "epoch": 0.28, + "grad_norm": 0.1971118255914251, + "learning_rate": 0.0008400474789204396, + "loss": 2.404, + "step": 620 + }, + { + "epoch": 0.28, + "grad_norm": 0.17751864394272654, + "learning_rate": 0.0008395026176781626, + "loss": 2.4039, + "step": 621 + }, + { + "epoch": 0.29, + "grad_norm": 0.18596073969537139, + "learning_rate": 0.0008389570073664976, + "loss": 2.3819, + "step": 622 + }, + { + "epoch": 0.29, + "grad_norm": 0.1927749157983514, + "learning_rate": 0.0008384106491892642, + "loss": 2.3509, + "step": 623 + }, + { + "epoch": 0.29, + "grad_norm": 0.2234001284600126, + "learning_rate": 0.0008378635443519327, + "loss": 2.3851, + "step": 624 + }, + { + "epoch": 0.29, + "grad_norm": 0.22129679675400996, + "learning_rate": 0.0008373156940616199, + "loss": 2.3779, + "step": 625 + }, + { + "epoch": 0.29, + "grad_norm": 0.2186865444563567, + "learning_rate": 0.0008367670995270882, + "loss": 2.4054, + "step": 626 + }, + { + "epoch": 0.29, + "grad_norm": 0.193874218877803, + "learning_rate": 0.0008362177619587416, + "loss": 2.4078, + "step": 627 + }, + { + "epoch": 0.29, + "grad_norm": 0.2493696364585381, + "learning_rate": 0.0008356676825686238, + "loss": 2.3454, + "step": 628 + }, + { + "epoch": 0.29, + "grad_norm": 0.1953469196750395, + "learning_rate": 0.0008351168625704147, + "loss": 2.3811, + "step": 629 + }, + { + "epoch": 0.29, + "grad_norm": 0.26927494887071446, + "learning_rate": 0.0008345653031794292, + "loss": 2.4361, + "step": 630 + }, + { + "epoch": 0.29, + "grad_norm": 0.22632974479884757, + "learning_rate": 0.0008340130056126125, + "loss": 2.4216, + "step": 631 + }, + { + "epoch": 0.29, + "grad_norm": 0.22427260200946117, + "learning_rate": 0.0008334599710885394, + "loss": 2.3011, + "step": 632 + }, + { + "epoch": 0.29, + "grad_norm": 0.2248139015545977, + "learning_rate": 0.0008329062008274098, + "loss": 2.3795, + "step": 633 + }, + { + "epoch": 0.29, + "grad_norm": 0.20702451567581667, + "learning_rate": 0.000832351696051048, + "loss": 2.4376, + "step": 634 + }, + { + "epoch": 0.29, + "grad_norm": 0.1981608935191815, + "learning_rate": 0.000831796457982898, + "loss": 2.3904, + "step": 635 + }, + { + "epoch": 0.29, + "grad_norm": 0.2351700413889612, + "learning_rate": 0.0008312404878480222, + "loss": 2.4509, + "step": 636 + }, + { + "epoch": 0.29, + "grad_norm": 0.18917376536905353, + "learning_rate": 0.0008306837868730979, + "loss": 2.3927, + "step": 637 + }, + { + "epoch": 0.29, + "grad_norm": 0.2010016900452529, + "learning_rate": 0.0008301263562864152, + "loss": 2.3788, + "step": 638 + }, + { + "epoch": 0.29, + "grad_norm": 0.22107828224727413, + "learning_rate": 0.0008295681973178737, + "loss": 2.3459, + "step": 639 + }, + { + "epoch": 0.29, + "grad_norm": 0.19525667513251108, + "learning_rate": 0.0008290093111989804, + "loss": 2.4176, + "step": 640 + }, + { + "epoch": 0.29, + "grad_norm": 0.1843495976820245, + "learning_rate": 0.0008284496991628465, + "loss": 2.2873, + "step": 641 + }, + { + "epoch": 0.29, + "grad_norm": 0.2331315436960734, + "learning_rate": 0.0008278893624441847, + "loss": 2.2469, + "step": 642 + }, + { + "epoch": 0.29, + "grad_norm": 0.18661483815699137, + "learning_rate": 0.000827328302279307, + "loss": 2.389, + "step": 643 + }, + { + "epoch": 0.3, + "grad_norm": 0.219937239375505, + "learning_rate": 0.0008267665199061211, + "loss": 2.223, + "step": 644 + }, + { + "epoch": 0.3, + "grad_norm": 0.1908610471332063, + "learning_rate": 0.0008262040165641288, + "loss": 2.3493, + "step": 645 + }, + { + "epoch": 0.3, + "grad_norm": 0.2218041733023859, + "learning_rate": 0.0008256407934944219, + "loss": 2.3966, + "step": 646 + }, + { + "epoch": 0.3, + "grad_norm": 0.2400988486651035, + "learning_rate": 0.0008250768519396807, + "loss": 2.4234, + "step": 647 + }, + { + "epoch": 0.3, + "grad_norm": 0.19696602307904285, + "learning_rate": 0.0008245121931441706, + "loss": 2.3386, + "step": 648 + }, + { + "epoch": 0.3, + "grad_norm": 0.19581465458040276, + "learning_rate": 0.0008239468183537393, + "loss": 2.3839, + "step": 649 + }, + { + "epoch": 0.3, + "grad_norm": 0.18191346808001652, + "learning_rate": 0.0008233807288158146, + "loss": 2.3373, + "step": 650 + }, + { + "epoch": 0.3, + "grad_norm": 0.18648996069853518, + "learning_rate": 0.0008228139257794012, + "loss": 2.3567, + "step": 651 + }, + { + "epoch": 0.3, + "grad_norm": 0.2173595679994734, + "learning_rate": 0.0008222464104950778, + "loss": 2.3188, + "step": 652 + }, + { + "epoch": 0.3, + "grad_norm": 0.23416536777652644, + "learning_rate": 0.000821678184214995, + "loss": 2.349, + "step": 653 + }, + { + "epoch": 0.3, + "grad_norm": 0.23933556124199534, + "learning_rate": 0.0008211092481928716, + "loss": 2.3022, + "step": 654 + }, + { + "epoch": 0.3, + "grad_norm": 0.33135031664789705, + "learning_rate": 0.0008205396036839927, + "loss": 2.4384, + "step": 655 + }, + { + "epoch": 0.3, + "grad_norm": 0.27816027405540256, + "learning_rate": 0.0008199692519452069, + "loss": 2.4068, + "step": 656 + }, + { + "epoch": 0.3, + "grad_norm": 0.241217360103072, + "learning_rate": 0.0008193981942349224, + "loss": 2.3245, + "step": 657 + }, + { + "epoch": 0.3, + "grad_norm": 0.22571173283869966, + "learning_rate": 0.0008188264318131056, + "loss": 2.3532, + "step": 658 + }, + { + "epoch": 0.3, + "grad_norm": 0.36527475366548495, + "learning_rate": 0.0008182539659412776, + "loss": 2.2805, + "step": 659 + }, + { + "epoch": 0.3, + "grad_norm": 0.20824281813904175, + "learning_rate": 0.0008176807978825118, + "loss": 2.3076, + "step": 660 + }, + { + "epoch": 0.3, + "grad_norm": 0.21618348875387058, + "learning_rate": 0.0008171069289014306, + "loss": 2.4162, + "step": 661 + }, + { + "epoch": 0.3, + "grad_norm": 0.3277306074095195, + "learning_rate": 0.0008165323602642028, + "loss": 2.4918, + "step": 662 + }, + { + "epoch": 0.3, + "grad_norm": 0.21618338001683027, + "learning_rate": 0.0008159570932385414, + "loss": 2.3178, + "step": 663 + }, + { + "epoch": 0.3, + "grad_norm": 0.41150585631550446, + "learning_rate": 0.0008153811290936999, + "loss": 2.3755, + "step": 664 + }, + { + "epoch": 0.3, + "grad_norm": 0.18514624084149653, + "learning_rate": 0.0008148044691004698, + "loss": 2.3044, + "step": 665 + }, + { + "epoch": 0.31, + "grad_norm": 0.19826778274700552, + "learning_rate": 0.0008142271145311783, + "loss": 2.371, + "step": 666 + }, + { + "epoch": 0.31, + "grad_norm": 0.19800687029254593, + "learning_rate": 0.000813649066659685, + "loss": 2.46, + "step": 667 + }, + { + "epoch": 0.31, + "grad_norm": 0.2038158634919084, + "learning_rate": 0.0008130703267613787, + "loss": 2.3798, + "step": 668 + }, + { + "epoch": 0.31, + "grad_norm": 0.2162426368972599, + "learning_rate": 0.0008124908961131759, + "loss": 2.3736, + "step": 669 + }, + { + "epoch": 0.31, + "grad_norm": 0.20210868759344444, + "learning_rate": 0.0008119107759935163, + "loss": 2.2218, + "step": 670 + }, + { + "epoch": 0.31, + "grad_norm": 0.2370674538947633, + "learning_rate": 0.0008113299676823615, + "loss": 2.3402, + "step": 671 + }, + { + "epoch": 0.31, + "grad_norm": 0.25954801138517875, + "learning_rate": 0.0008107484724611911, + "loss": 2.4794, + "step": 672 + }, + { + "epoch": 0.31, + "grad_norm": 0.2441431767717557, + "learning_rate": 0.0008101662916130006, + "loss": 2.3825, + "step": 673 + }, + { + "epoch": 0.31, + "grad_norm": 0.24799002523689026, + "learning_rate": 0.0008095834264222979, + "loss": 2.3756, + "step": 674 + }, + { + "epoch": 0.31, + "grad_norm": 0.19606787597209255, + "learning_rate": 0.0008089998781751009, + "loss": 2.4495, + "step": 675 + }, + { + "epoch": 0.31, + "grad_norm": 0.18675910769787626, + "learning_rate": 0.0008084156481589349, + "loss": 2.3685, + "step": 676 + }, + { + "epoch": 0.31, + "grad_norm": 0.20931629068769167, + "learning_rate": 0.0008078307376628291, + "loss": 2.4268, + "step": 677 + }, + { + "epoch": 0.31, + "grad_norm": 0.20023719464407022, + "learning_rate": 0.0008072451479773143, + "loss": 2.2848, + "step": 678 + }, + { + "epoch": 0.31, + "grad_norm": 0.18839254025218666, + "learning_rate": 0.0008066588803944195, + "loss": 2.4575, + "step": 679 + }, + { + "epoch": 0.31, + "grad_norm": 0.22735360447256375, + "learning_rate": 0.0008060719362076697, + "loss": 2.3781, + "step": 680 + }, + { + "epoch": 0.31, + "grad_norm": 0.20011640949650045, + "learning_rate": 0.0008054843167120826, + "loss": 2.4546, + "step": 681 + }, + { + "epoch": 0.31, + "grad_norm": 0.2409932598725054, + "learning_rate": 0.0008048960232041663, + "loss": 2.3864, + "step": 682 + }, + { + "epoch": 0.31, + "grad_norm": 0.2086057699858548, + "learning_rate": 0.0008043070569819153, + "loss": 2.3165, + "step": 683 + }, + { + "epoch": 0.31, + "grad_norm": 0.20379135157872952, + "learning_rate": 0.0008037174193448089, + "loss": 2.4397, + "step": 684 + }, + { + "epoch": 0.31, + "grad_norm": 0.1858701651450303, + "learning_rate": 0.0008031271115938077, + "loss": 2.268, + "step": 685 + }, + { + "epoch": 0.31, + "grad_norm": 0.1987946802050316, + "learning_rate": 0.0008025361350313505, + "loss": 2.2898, + "step": 686 + }, + { + "epoch": 0.31, + "grad_norm": 0.2045174568438363, + "learning_rate": 0.0008019444909613523, + "loss": 2.4713, + "step": 687 + }, + { + "epoch": 0.32, + "grad_norm": 0.21540873376267614, + "learning_rate": 0.0008013521806892003, + "loss": 2.4278, + "step": 688 + }, + { + "epoch": 0.32, + "grad_norm": 0.24698433541838496, + "learning_rate": 0.000800759205521752, + "loss": 2.271, + "step": 689 + }, + { + "epoch": 0.32, + "grad_norm": 0.21731184854277974, + "learning_rate": 0.0008001655667673318, + "loss": 2.4819, + "step": 690 + }, + { + "epoch": 0.32, + "grad_norm": 0.21353345965209342, + "learning_rate": 0.0007995712657357279, + "loss": 2.4431, + "step": 691 + }, + { + "epoch": 0.32, + "grad_norm": 0.20339203627152008, + "learning_rate": 0.0007989763037381904, + "loss": 2.3394, + "step": 692 + }, + { + "epoch": 0.32, + "grad_norm": 0.24603137742451495, + "learning_rate": 0.0007983806820874271, + "loss": 2.3408, + "step": 693 + }, + { + "epoch": 0.32, + "grad_norm": 0.23677984198331511, + "learning_rate": 0.0007977844020976016, + "loss": 2.4641, + "step": 694 + }, + { + "epoch": 0.32, + "grad_norm": 0.19725586455489866, + "learning_rate": 0.00079718746508433, + "loss": 2.4005, + "step": 695 + }, + { + "epoch": 0.32, + "grad_norm": 0.1963443784909098, + "learning_rate": 0.0007965898723646776, + "loss": 2.3582, + "step": 696 + }, + { + "epoch": 0.32, + "grad_norm": 0.20979711414374208, + "learning_rate": 0.0007959916252571573, + "loss": 2.2866, + "step": 697 + }, + { + "epoch": 0.32, + "grad_norm": 0.2052443232619753, + "learning_rate": 0.000795392725081725, + "loss": 2.3464, + "step": 698 + }, + { + "epoch": 0.32, + "grad_norm": 0.2242005329337713, + "learning_rate": 0.000794793173159778, + "loss": 2.4148, + "step": 699 + }, + { + "epoch": 0.32, + "grad_norm": 0.22519323494860072, + "learning_rate": 0.0007941929708141513, + "loss": 2.3863, + "step": 700 + }, + { + "epoch": 0.32, + "grad_norm": 0.23520972594585451, + "learning_rate": 0.0007935921193691153, + "loss": 2.4021, + "step": 701 + }, + { + "epoch": 0.32, + "grad_norm": 0.1844359162498499, + "learning_rate": 0.0007929906201503722, + "loss": 2.38, + "step": 702 + }, + { + "epoch": 0.32, + "grad_norm": 0.19717614082154636, + "learning_rate": 0.0007923884744850536, + "loss": 2.2309, + "step": 703 + }, + { + "epoch": 0.32, + "grad_norm": 0.2037077725616735, + "learning_rate": 0.0007917856837017176, + "loss": 2.4433, + "step": 704 + }, + { + "epoch": 0.32, + "grad_norm": 0.1925404590739173, + "learning_rate": 0.0007911822491303452, + "loss": 2.2646, + "step": 705 + }, + { + "epoch": 0.32, + "grad_norm": 0.20858132264413534, + "learning_rate": 0.0007905781721023382, + "loss": 2.2701, + "step": 706 + }, + { + "epoch": 0.32, + "grad_norm": 0.19363526401138292, + "learning_rate": 0.000789973453950516, + "loss": 2.4239, + "step": 707 + }, + { + "epoch": 0.32, + "grad_norm": 0.21832182679668807, + "learning_rate": 0.000789368096009112, + "loss": 2.3583, + "step": 708 + }, + { + "epoch": 0.33, + "grad_norm": 0.27138257155868745, + "learning_rate": 0.0007887620996137721, + "loss": 2.3999, + "step": 709 + }, + { + "epoch": 0.33, + "grad_norm": 0.1809686309066487, + "learning_rate": 0.0007881554661015497, + "loss": 2.4271, + "step": 710 + }, + { + "epoch": 0.33, + "grad_norm": 0.22860960447863507, + "learning_rate": 0.0007875481968109051, + "loss": 2.374, + "step": 711 + }, + { + "epoch": 0.33, + "grad_norm": 0.18724085451783046, + "learning_rate": 0.0007869402930817007, + "loss": 2.2868, + "step": 712 + }, + { + "epoch": 0.33, + "grad_norm": 0.22760141002918394, + "learning_rate": 0.0007863317562551987, + "loss": 2.3192, + "step": 713 + }, + { + "epoch": 0.33, + "grad_norm": 0.21009428782855413, + "learning_rate": 0.0007857225876740584, + "loss": 2.2556, + "step": 714 + }, + { + "epoch": 0.33, + "grad_norm": 0.23318589408968843, + "learning_rate": 0.0007851127886823327, + "loss": 2.4696, + "step": 715 + }, + { + "epoch": 0.33, + "grad_norm": 0.18931431759570835, + "learning_rate": 0.0007845023606254658, + "loss": 2.3637, + "step": 716 + }, + { + "epoch": 0.33, + "grad_norm": 0.21371372831041674, + "learning_rate": 0.0007838913048502894, + "loss": 2.3044, + "step": 717 + }, + { + "epoch": 0.33, + "grad_norm": 0.23741446025466503, + "learning_rate": 0.0007832796227050208, + "loss": 2.3959, + "step": 718 + }, + { + "epoch": 0.33, + "grad_norm": 0.1954794363907472, + "learning_rate": 0.0007826673155392587, + "loss": 2.4036, + "step": 719 + }, + { + "epoch": 0.33, + "grad_norm": 0.19355549139180442, + "learning_rate": 0.000782054384703981, + "loss": 2.3518, + "step": 720 + }, + { + "epoch": 0.33, + "grad_norm": 0.19058707181452672, + "learning_rate": 0.0007814408315515418, + "loss": 2.2554, + "step": 721 + }, + { + "epoch": 0.33, + "grad_norm": 0.18862008679669443, + "learning_rate": 0.0007808266574356683, + "loss": 2.3749, + "step": 722 + }, + { + "epoch": 0.33, + "grad_norm": 0.2011672418433559, + "learning_rate": 0.0007802118637114573, + "loss": 2.3588, + "step": 723 + }, + { + "epoch": 0.33, + "grad_norm": 0.20490752082136918, + "learning_rate": 0.0007795964517353734, + "loss": 2.2891, + "step": 724 + }, + { + "epoch": 0.33, + "grad_norm": 0.19697554112813798, + "learning_rate": 0.0007789804228652449, + "loss": 2.3216, + "step": 725 + }, + { + "epoch": 0.33, + "grad_norm": 0.20214514347467497, + "learning_rate": 0.0007783637784602609, + "loss": 2.3624, + "step": 726 + }, + { + "epoch": 0.33, + "grad_norm": 0.216794108368424, + "learning_rate": 0.0007777465198809692, + "loss": 2.3486, + "step": 727 + }, + { + "epoch": 0.33, + "grad_norm": 0.1887730859733003, + "learning_rate": 0.0007771286484892722, + "loss": 2.4041, + "step": 728 + }, + { + "epoch": 0.33, + "grad_norm": 0.2047214032497465, + "learning_rate": 0.000776510165648425, + "loss": 2.3556, + "step": 729 + }, + { + "epoch": 0.33, + "grad_norm": 0.20502758969992438, + "learning_rate": 0.0007758910727230311, + "loss": 2.3405, + "step": 730 + }, + { + "epoch": 0.34, + "grad_norm": 0.20142954830152926, + "learning_rate": 0.0007752713710790404, + "loss": 2.3886, + "step": 731 + }, + { + "epoch": 0.34, + "grad_norm": 0.1904148106052041, + "learning_rate": 0.0007746510620837459, + "loss": 2.2503, + "step": 732 + }, + { + "epoch": 0.34, + "grad_norm": 0.19559286284291258, + "learning_rate": 0.0007740301471057807, + "loss": 2.34, + "step": 733 + }, + { + "epoch": 0.34, + "grad_norm": 0.19435104129637765, + "learning_rate": 0.0007734086275151146, + "loss": 2.3234, + "step": 734 + }, + { + "epoch": 0.34, + "grad_norm": 0.19637982771274068, + "learning_rate": 0.0007727865046830517, + "loss": 2.4429, + "step": 735 + }, + { + "epoch": 0.34, + "grad_norm": 0.20868362721860748, + "learning_rate": 0.0007721637799822269, + "loss": 2.2851, + "step": 736 + }, + { + "epoch": 0.34, + "grad_norm": 0.19460682529125425, + "learning_rate": 0.0007715404547866032, + "loss": 2.3141, + "step": 737 + }, + { + "epoch": 0.34, + "grad_norm": 0.1842484478550409, + "learning_rate": 0.0007709165304714685, + "loss": 2.3279, + "step": 738 + }, + { + "epoch": 0.34, + "grad_norm": 0.1954823941784777, + "learning_rate": 0.0007702920084134324, + "loss": 2.3628, + "step": 739 + }, + { + "epoch": 0.34, + "grad_norm": 0.2057945409179893, + "learning_rate": 0.0007696668899904236, + "loss": 2.3612, + "step": 740 + }, + { + "epoch": 0.34, + "grad_norm": 0.221795770009671, + "learning_rate": 0.0007690411765816864, + "loss": 2.4244, + "step": 741 + }, + { + "epoch": 0.34, + "grad_norm": 0.1897258456722474, + "learning_rate": 0.0007684148695677778, + "loss": 2.3541, + "step": 742 + }, + { + "epoch": 0.34, + "grad_norm": 0.18979243212370528, + "learning_rate": 0.000767787970330565, + "loss": 2.4033, + "step": 743 + }, + { + "epoch": 0.34, + "grad_norm": 0.2433378278761861, + "learning_rate": 0.000767160480253221, + "loss": 2.4029, + "step": 744 + }, + { + "epoch": 0.34, + "grad_norm": 0.18750501388840535, + "learning_rate": 0.0007665324007202235, + "loss": 2.3978, + "step": 745 + }, + { + "epoch": 0.34, + "grad_norm": 0.2225863064309629, + "learning_rate": 0.0007659037331173498, + "loss": 2.3345, + "step": 746 + }, + { + "epoch": 0.34, + "grad_norm": 0.213089444219252, + "learning_rate": 0.0007652744788316752, + "loss": 2.2527, + "step": 747 + }, + { + "epoch": 0.34, + "grad_norm": 0.21971372810416237, + "learning_rate": 0.0007646446392515692, + "loss": 2.3673, + "step": 748 + }, + { + "epoch": 0.34, + "grad_norm": 0.23501992316198161, + "learning_rate": 0.000764014215766693, + "loss": 2.3157, + "step": 749 + }, + { + "epoch": 0.34, + "grad_norm": 0.1856917542793935, + "learning_rate": 0.0007633832097679958, + "loss": 2.3439, + "step": 750 + }, + { + "epoch": 0.34, + "grad_norm": 0.25242396922092497, + "learning_rate": 0.0007627516226477122, + "loss": 2.2608, + "step": 751 + }, + { + "epoch": 0.34, + "grad_norm": 0.20923617621552523, + "learning_rate": 0.0007621194557993589, + "loss": 2.429, + "step": 752 + }, + { + "epoch": 0.35, + "grad_norm": 0.320184605735471, + "learning_rate": 0.0007614867106177319, + "loss": 2.2587, + "step": 753 + }, + { + "epoch": 0.35, + "grad_norm": 0.21760552346946388, + "learning_rate": 0.0007608533884989029, + "loss": 2.3994, + "step": 754 + }, + { + "epoch": 0.35, + "grad_norm": 0.25308705870800474, + "learning_rate": 0.0007602194908402166, + "loss": 2.3485, + "step": 755 + }, + { + "epoch": 0.35, + "grad_norm": 0.2736373068892872, + "learning_rate": 0.0007595850190402877, + "loss": 2.3523, + "step": 756 + }, + { + "epoch": 0.35, + "grad_norm": 0.18683039056710407, + "learning_rate": 0.0007589499744989976, + "loss": 2.336, + "step": 757 + }, + { + "epoch": 0.35, + "grad_norm": 0.23174670383419038, + "learning_rate": 0.0007583143586174916, + "loss": 2.436, + "step": 758 + }, + { + "epoch": 0.35, + "grad_norm": 0.22727209616487662, + "learning_rate": 0.000757678172798175, + "loss": 2.3595, + "step": 759 + }, + { + "epoch": 0.35, + "grad_norm": 0.19149219724328997, + "learning_rate": 0.0007570414184447112, + "loss": 2.3684, + "step": 760 + }, + { + "epoch": 0.35, + "grad_norm": 0.2046532281742551, + "learning_rate": 0.0007564040969620179, + "loss": 2.3544, + "step": 761 + }, + { + "epoch": 0.35, + "grad_norm": 0.20459527147083986, + "learning_rate": 0.0007557662097562636, + "loss": 2.4206, + "step": 762 + }, + { + "epoch": 0.35, + "grad_norm": 0.26070828709713334, + "learning_rate": 0.0007551277582348658, + "loss": 2.2653, + "step": 763 + }, + { + "epoch": 0.35, + "grad_norm": 0.18062158061965738, + "learning_rate": 0.0007544887438064862, + "loss": 2.4017, + "step": 764 + }, + { + "epoch": 0.35, + "grad_norm": 0.1960319135279008, + "learning_rate": 0.0007538491678810294, + "loss": 2.3809, + "step": 765 + }, + { + "epoch": 0.35, + "grad_norm": 0.21023391476072942, + "learning_rate": 0.0007532090318696381, + "loss": 2.2907, + "step": 766 + }, + { + "epoch": 0.35, + "grad_norm": 0.18803088825275407, + "learning_rate": 0.0007525683371846913, + "loss": 2.3441, + "step": 767 + }, + { + "epoch": 0.35, + "grad_norm": 0.21310102160155725, + "learning_rate": 0.0007519270852398001, + "loss": 2.3438, + "step": 768 + }, + { + "epoch": 0.35, + "grad_norm": 0.18331767472362986, + "learning_rate": 0.000751285277449806, + "loss": 2.3357, + "step": 769 + }, + { + "epoch": 0.35, + "grad_norm": 0.20360588716768827, + "learning_rate": 0.0007506429152307756, + "loss": 2.317, + "step": 770 + }, + { + "epoch": 0.35, + "grad_norm": 0.2033600173331542, + "learning_rate": 0.00075, + "loss": 2.4427, + "step": 771 + }, + { + "epoch": 0.35, + "grad_norm": 0.18489937934985012, + "learning_rate": 0.00074935653317599, + "loss": 2.3327, + "step": 772 + }, + { + "epoch": 0.35, + "grad_norm": 0.20500140415873963, + "learning_rate": 0.000748712516178473, + "loss": 2.3208, + "step": 773 + }, + { + "epoch": 0.35, + "grad_norm": 0.2664603500454692, + "learning_rate": 0.0007480679504283911, + "loss": 2.4536, + "step": 774 + }, + { + "epoch": 0.36, + "grad_norm": 0.20872735960447777, + "learning_rate": 0.0007474228373478964, + "loss": 2.3758, + "step": 775 + }, + { + "epoch": 0.36, + "grad_norm": 0.40314195957461746, + "learning_rate": 0.0007467771783603492, + "loss": 2.4367, + "step": 776 + }, + { + "epoch": 0.36, + "grad_norm": 0.21929009051306372, + "learning_rate": 0.0007461309748903138, + "loss": 2.2901, + "step": 777 + }, + { + "epoch": 0.36, + "grad_norm": 0.28769864004957624, + "learning_rate": 0.0007454842283635562, + "loss": 2.2851, + "step": 778 + }, + { + "epoch": 0.36, + "grad_norm": 0.20376323767622917, + "learning_rate": 0.0007448369402070404, + "loss": 2.2719, + "step": 779 + }, + { + "epoch": 0.36, + "grad_norm": 0.20847468050595735, + "learning_rate": 0.0007441891118489254, + "loss": 2.4159, + "step": 780 + }, + { + "epoch": 0.36, + "grad_norm": 0.21483670199828028, + "learning_rate": 0.0007435407447185622, + "loss": 2.3409, + "step": 781 + }, + { + "epoch": 0.36, + "grad_norm": 0.18774575655600578, + "learning_rate": 0.0007428918402464908, + "loss": 2.4111, + "step": 782 + }, + { + "epoch": 0.36, + "grad_norm": 0.22257786676712701, + "learning_rate": 0.0007422423998644359, + "loss": 2.327, + "step": 783 + }, + { + "epoch": 0.36, + "grad_norm": 0.19656173140214175, + "learning_rate": 0.0007415924250053055, + "loss": 2.3243, + "step": 784 + }, + { + "epoch": 0.36, + "grad_norm": 0.19294087772840215, + "learning_rate": 0.0007409419171031865, + "loss": 2.2991, + "step": 785 + }, + { + "epoch": 0.36, + "grad_norm": 0.2780291290639327, + "learning_rate": 0.0007402908775933419, + "loss": 2.3384, + "step": 786 + }, + { + "epoch": 0.36, + "grad_norm": 0.32131660538566914, + "learning_rate": 0.0007396393079122077, + "loss": 2.2836, + "step": 787 + }, + { + "epoch": 0.36, + "grad_norm": 0.18014440861514922, + "learning_rate": 0.0007389872094973896, + "loss": 2.3441, + "step": 788 + }, + { + "epoch": 0.36, + "grad_norm": 0.17922724952907773, + "learning_rate": 0.00073833458378766, + "loss": 2.3926, + "step": 789 + }, + { + "epoch": 0.36, + "grad_norm": 0.20876180547026796, + "learning_rate": 0.0007376814322229544, + "loss": 2.3279, + "step": 790 + }, + { + "epoch": 0.36, + "grad_norm": 0.20086651258069252, + "learning_rate": 0.0007370277562443688, + "loss": 2.3815, + "step": 791 + }, + { + "epoch": 0.36, + "grad_norm": 0.18149783222286842, + "learning_rate": 0.0007363735572941564, + "loss": 2.3196, + "step": 792 + }, + { + "epoch": 0.36, + "grad_norm": 0.20689608625505085, + "learning_rate": 0.0007357188368157236, + "loss": 2.3387, + "step": 793 + }, + { + "epoch": 0.36, + "grad_norm": 0.2051407010325912, + "learning_rate": 0.0007350635962536284, + "loss": 2.3518, + "step": 794 + }, + { + "epoch": 0.36, + "grad_norm": 0.18497534360929443, + "learning_rate": 0.0007344078370535756, + "loss": 2.328, + "step": 795 + }, + { + "epoch": 0.36, + "grad_norm": 0.2062021676685693, + "learning_rate": 0.0007337515606624148, + "loss": 2.3337, + "step": 796 + }, + { + "epoch": 0.37, + "grad_norm": 0.19292346646592923, + "learning_rate": 0.0007330947685281362, + "loss": 2.3881, + "step": 797 + }, + { + "epoch": 0.37, + "grad_norm": 0.19431158318164274, + "learning_rate": 0.0007324374620998682, + "loss": 2.231, + "step": 798 + }, + { + "epoch": 0.37, + "grad_norm": 0.17960174500928416, + "learning_rate": 0.000731779642827874, + "loss": 2.3514, + "step": 799 + }, + { + "epoch": 0.37, + "grad_norm": 0.18651871599780215, + "learning_rate": 0.0007311213121635483, + "loss": 2.3136, + "step": 800 + }, + { + "epoch": 0.37, + "grad_norm": 0.22151104341638359, + "learning_rate": 0.0007304624715594139, + "loss": 2.2776, + "step": 801 + }, + { + "epoch": 0.37, + "grad_norm": 0.20191035823757558, + "learning_rate": 0.0007298031224691193, + "loss": 2.4019, + "step": 802 + }, + { + "epoch": 0.37, + "grad_norm": 0.21520051258278164, + "learning_rate": 0.0007291432663474339, + "loss": 2.3578, + "step": 803 + }, + { + "epoch": 0.37, + "grad_norm": 0.2123667485860328, + "learning_rate": 0.0007284829046502467, + "loss": 2.3404, + "step": 804 + }, + { + "epoch": 0.37, + "grad_norm": 0.20197111059713233, + "learning_rate": 0.0007278220388345619, + "loss": 2.3036, + "step": 805 + }, + { + "epoch": 0.37, + "grad_norm": 0.22779217721407607, + "learning_rate": 0.0007271606703584958, + "loss": 2.2107, + "step": 806 + }, + { + "epoch": 0.37, + "grad_norm": 0.2023083957595873, + "learning_rate": 0.000726498800681274, + "loss": 2.2484, + "step": 807 + }, + { + "epoch": 0.37, + "grad_norm": 0.1975370132197128, + "learning_rate": 0.0007258364312632279, + "loss": 2.3137, + "step": 808 + }, + { + "epoch": 0.37, + "grad_norm": 0.4135758179483727, + "learning_rate": 0.0007251735635657915, + "loss": 2.3741, + "step": 809 + }, + { + "epoch": 0.37, + "grad_norm": 0.2053124658749272, + "learning_rate": 0.000724510199051498, + "loss": 2.3386, + "step": 810 + }, + { + "epoch": 0.37, + "grad_norm": 0.28838204621232394, + "learning_rate": 0.0007238463391839769, + "loss": 2.4388, + "step": 811 + }, + { + "epoch": 0.37, + "grad_norm": 0.195761835066669, + "learning_rate": 0.0007231819854279508, + "loss": 2.3712, + "step": 812 + }, + { + "epoch": 0.37, + "grad_norm": 0.22214621901168474, + "learning_rate": 0.0007225171392492316, + "loss": 2.2705, + "step": 813 + }, + { + "epoch": 0.37, + "grad_norm": 0.20084627881887687, + "learning_rate": 0.0007218518021147182, + "loss": 2.3459, + "step": 814 + }, + { + "epoch": 0.37, + "grad_norm": 0.20314888013603266, + "learning_rate": 0.0007211859754923923, + "loss": 2.3749, + "step": 815 + }, + { + "epoch": 0.37, + "grad_norm": 0.2013203444191679, + "learning_rate": 0.0007205196608513158, + "loss": 2.2786, + "step": 816 + }, + { + "epoch": 0.37, + "grad_norm": 0.19874411305826045, + "learning_rate": 0.0007198528596616272, + "loss": 2.3801, + "step": 817 + }, + { + "epoch": 0.38, + "grad_norm": 0.21376035120377598, + "learning_rate": 0.0007191855733945387, + "loss": 2.2399, + "step": 818 + }, + { + "epoch": 0.38, + "grad_norm": 0.20544550327052827, + "learning_rate": 0.0007185178035223327, + "loss": 2.2568, + "step": 819 + }, + { + "epoch": 0.38, + "grad_norm": 0.1805528869228331, + "learning_rate": 0.0007178495515183583, + "loss": 2.2206, + "step": 820 + }, + { + "epoch": 0.38, + "grad_norm": 0.17453856200009432, + "learning_rate": 0.000717180818857029, + "loss": 2.2467, + "step": 821 + }, + { + "epoch": 0.38, + "grad_norm": 0.20836730061901637, + "learning_rate": 0.0007165116070138182, + "loss": 2.2966, + "step": 822 + }, + { + "epoch": 0.38, + "grad_norm": 0.19154117460323508, + "learning_rate": 0.0007158419174652569, + "loss": 2.2179, + "step": 823 + }, + { + "epoch": 0.38, + "grad_norm": 0.18413944919918598, + "learning_rate": 0.00071517175168893, + "loss": 2.3136, + "step": 824 + }, + { + "epoch": 0.38, + "grad_norm": 0.1855865790021418, + "learning_rate": 0.0007145011111634732, + "loss": 2.2829, + "step": 825 + }, + { + "epoch": 0.38, + "grad_norm": 0.18286565202728272, + "learning_rate": 0.0007138299973685694, + "loss": 2.3683, + "step": 826 + }, + { + "epoch": 0.38, + "grad_norm": 0.19827864677694135, + "learning_rate": 0.0007131584117849459, + "loss": 2.3483, + "step": 827 + }, + { + "epoch": 0.38, + "grad_norm": 0.19180813794350873, + "learning_rate": 0.0007124863558943713, + "loss": 2.3933, + "step": 828 + }, + { + "epoch": 0.38, + "grad_norm": 0.2509763907915549, + "learning_rate": 0.0007118138311796514, + "loss": 2.3301, + "step": 829 + }, + { + "epoch": 0.38, + "grad_norm": 0.18646497383333407, + "learning_rate": 0.0007111408391246262, + "loss": 2.3524, + "step": 830 + }, + { + "epoch": 0.38, + "grad_norm": 0.22084470145995486, + "learning_rate": 0.0007104673812141675, + "loss": 2.3048, + "step": 831 + }, + { + "epoch": 0.38, + "grad_norm": 0.2924279373206126, + "learning_rate": 0.0007097934589341745, + "loss": 2.2938, + "step": 832 + }, + { + "epoch": 0.38, + "grad_norm": 0.17615696957060115, + "learning_rate": 0.0007091190737715711, + "loss": 2.3244, + "step": 833 + }, + { + "epoch": 0.38, + "grad_norm": 0.28010122400223514, + "learning_rate": 0.0007084442272143026, + "loss": 2.2665, + "step": 834 + }, + { + "epoch": 0.38, + "grad_norm": 0.23895613550242362, + "learning_rate": 0.000707768920751332, + "loss": 2.3736, + "step": 835 + }, + { + "epoch": 0.38, + "grad_norm": 0.30638765855342515, + "learning_rate": 0.0007070931558726373, + "loss": 2.42, + "step": 836 + }, + { + "epoch": 0.38, + "grad_norm": 0.19740973110442517, + "learning_rate": 0.0007064169340692076, + "loss": 2.3688, + "step": 837 + }, + { + "epoch": 0.38, + "grad_norm": 0.18614562765778994, + "learning_rate": 0.0007057402568330407, + "loss": 2.2925, + "step": 838 + }, + { + "epoch": 0.38, + "grad_norm": 0.19021276884658653, + "learning_rate": 0.0007050631256571389, + "loss": 2.3176, + "step": 839 + }, + { + "epoch": 0.39, + "grad_norm": 0.20377023574621192, + "learning_rate": 0.000704385542035506, + "loss": 2.3721, + "step": 840 + }, + { + "epoch": 0.39, + "grad_norm": 0.19398576581794946, + "learning_rate": 0.000703707507463144, + "loss": 2.4265, + "step": 841 + }, + { + "epoch": 0.39, + "grad_norm": 0.18286379247760692, + "learning_rate": 0.0007030290234360505, + "loss": 2.2834, + "step": 842 + }, + { + "epoch": 0.39, + "grad_norm": 0.2241367836936832, + "learning_rate": 0.0007023500914512139, + "loss": 2.3313, + "step": 843 + }, + { + "epoch": 0.39, + "grad_norm": 0.1943041234399729, + "learning_rate": 0.0007016707130066116, + "loss": 2.3732, + "step": 844 + }, + { + "epoch": 0.39, + "grad_norm": 0.1902692626457823, + "learning_rate": 0.0007009908896012055, + "loss": 2.3236, + "step": 845 + }, + { + "epoch": 0.39, + "grad_norm": 0.21815866675174161, + "learning_rate": 0.0007003106227349399, + "loss": 2.3503, + "step": 846 + }, + { + "epoch": 0.39, + "grad_norm": 0.2356714869033572, + "learning_rate": 0.000699629913908737, + "loss": 2.2722, + "step": 847 + }, + { + "epoch": 0.39, + "grad_norm": 0.27328164160288015, + "learning_rate": 0.0006989487646244943, + "loss": 2.3425, + "step": 848 + }, + { + "epoch": 0.39, + "grad_norm": 0.38423376026800166, + "learning_rate": 0.0006982671763850814, + "loss": 2.2623, + "step": 849 + }, + { + "epoch": 0.39, + "grad_norm": 0.22450150737278143, + "learning_rate": 0.0006975851506943359, + "loss": 2.355, + "step": 850 + }, + { + "epoch": 0.39, + "grad_norm": 0.1962949145078148, + "learning_rate": 0.0006969026890570611, + "loss": 2.3988, + "step": 851 + }, + { + "epoch": 0.39, + "grad_norm": 0.251564593921598, + "learning_rate": 0.0006962197929790216, + "loss": 2.2942, + "step": 852 + }, + { + "epoch": 0.39, + "grad_norm": 0.19865063121892915, + "learning_rate": 0.0006955364639669409, + "loss": 2.312, + "step": 853 + }, + { + "epoch": 0.39, + "grad_norm": 0.21344764152276532, + "learning_rate": 0.0006948527035284978, + "loss": 2.2317, + "step": 854 + }, + { + "epoch": 0.39, + "grad_norm": 0.2082542713452519, + "learning_rate": 0.0006941685131723225, + "loss": 2.316, + "step": 855 + }, + { + "epoch": 0.39, + "grad_norm": 0.19498036767222396, + "learning_rate": 0.0006934838944079943, + "loss": 2.3128, + "step": 856 + }, + { + "epoch": 0.39, + "grad_norm": 0.19265923803500504, + "learning_rate": 0.0006927988487460378, + "loss": 2.3014, + "step": 857 + }, + { + "epoch": 0.39, + "grad_norm": 0.21734190277392662, + "learning_rate": 0.0006921133776979186, + "loss": 2.3098, + "step": 858 + }, + { + "epoch": 0.39, + "grad_norm": 0.198225655389868, + "learning_rate": 0.0006914274827760418, + "loss": 2.2765, + "step": 859 + }, + { + "epoch": 0.39, + "grad_norm": 0.1895948243656752, + "learning_rate": 0.0006907411654937475, + "loss": 2.2727, + "step": 860 + }, + { + "epoch": 0.39, + "grad_norm": 0.25103940569568, + "learning_rate": 0.0006900544273653075, + "loss": 2.3454, + "step": 861 + }, + { + "epoch": 0.4, + "grad_norm": 0.20405639697615052, + "learning_rate": 0.000689367269905922, + "loss": 2.1382, + "step": 862 + }, + { + "epoch": 0.4, + "grad_norm": 0.19272975071836476, + "learning_rate": 0.0006886796946317168, + "loss": 2.2369, + "step": 863 + }, + { + "epoch": 0.4, + "grad_norm": 0.19307218900900847, + "learning_rate": 0.0006879917030597397, + "loss": 2.3114, + "step": 864 + }, + { + "epoch": 0.4, + "grad_norm": 0.19365180829284487, + "learning_rate": 0.0006873032967079561, + "loss": 2.3261, + "step": 865 + }, + { + "epoch": 0.4, + "grad_norm": 0.18465156347534134, + "learning_rate": 0.0006866144770952474, + "loss": 2.2731, + "step": 866 + }, + { + "epoch": 0.4, + "grad_norm": 0.19809557904987649, + "learning_rate": 0.0006859252457414067, + "loss": 2.3451, + "step": 867 + }, + { + "epoch": 0.4, + "grad_norm": 0.202695843152827, + "learning_rate": 0.0006852356041671351, + "loss": 2.278, + "step": 868 + }, + { + "epoch": 0.4, + "grad_norm": 0.198137078645546, + "learning_rate": 0.0006845455538940394, + "loss": 2.3089, + "step": 869 + }, + { + "epoch": 0.4, + "grad_norm": 0.21071404489809498, + "learning_rate": 0.0006838550964446276, + "loss": 2.3682, + "step": 870 + }, + { + "epoch": 0.4, + "grad_norm": 0.20118375585240011, + "learning_rate": 0.0006831642333423067, + "loss": 2.2411, + "step": 871 + }, + { + "epoch": 0.4, + "grad_norm": 0.18620407458597057, + "learning_rate": 0.000682472966111378, + "loss": 2.2187, + "step": 872 + }, + { + "epoch": 0.4, + "grad_norm": 0.22012949643674648, + "learning_rate": 0.0006817812962770348, + "loss": 2.2905, + "step": 873 + }, + { + "epoch": 0.4, + "grad_norm": 0.23612356969713408, + "learning_rate": 0.0006810892253653589, + "loss": 2.3812, + "step": 874 + }, + { + "epoch": 0.4, + "grad_norm": 0.22179099176395964, + "learning_rate": 0.0006803967549033167, + "loss": 2.3639, + "step": 875 + }, + { + "epoch": 0.4, + "grad_norm": 0.2147968161186134, + "learning_rate": 0.0006797038864187564, + "loss": 2.2744, + "step": 876 + }, + { + "epoch": 0.4, + "grad_norm": 0.2021288657092707, + "learning_rate": 0.0006790106214404043, + "loss": 2.3627, + "step": 877 + }, + { + "epoch": 0.4, + "grad_norm": 0.18415746260523375, + "learning_rate": 0.0006783169614978614, + "loss": 2.3297, + "step": 878 + }, + { + "epoch": 0.4, + "grad_norm": 0.20374460850089376, + "learning_rate": 0.0006776229081216001, + "loss": 2.3115, + "step": 879 + }, + { + "epoch": 0.4, + "grad_norm": 0.23287018318766442, + "learning_rate": 0.0006769284628429611, + "loss": 2.3263, + "step": 880 + }, + { + "epoch": 0.4, + "grad_norm": 0.20027640374845418, + "learning_rate": 0.0006762336271941498, + "loss": 2.2428, + "step": 881 + }, + { + "epoch": 0.4, + "grad_norm": 0.19756273154373202, + "learning_rate": 0.0006755384027082326, + "loss": 2.1943, + "step": 882 + }, + { + "epoch": 0.4, + "grad_norm": 0.1915900624203546, + "learning_rate": 0.0006748427909191342, + "loss": 2.2723, + "step": 883 + }, + { + "epoch": 0.41, + "grad_norm": 0.2085759904057532, + "learning_rate": 0.0006741467933616335, + "loss": 2.3204, + "step": 884 + }, + { + "epoch": 0.41, + "grad_norm": 0.22157961624577513, + "learning_rate": 0.0006734504115713604, + "loss": 2.2837, + "step": 885 + }, + { + "epoch": 0.41, + "grad_norm": 0.1896462746692905, + "learning_rate": 0.0006727536470847932, + "loss": 2.3189, + "step": 886 + }, + { + "epoch": 0.41, + "grad_norm": 0.21588230997983862, + "learning_rate": 0.000672056501439254, + "loss": 2.329, + "step": 887 + }, + { + "epoch": 0.41, + "grad_norm": 0.2036890927389993, + "learning_rate": 0.0006713589761729063, + "loss": 2.3204, + "step": 888 + }, + { + "epoch": 0.41, + "grad_norm": 0.22516307588625917, + "learning_rate": 0.0006706610728247508, + "loss": 2.2577, + "step": 889 + }, + { + "epoch": 0.41, + "grad_norm": 0.23133588472591893, + "learning_rate": 0.0006699627929346227, + "loss": 2.3687, + "step": 890 + }, + { + "epoch": 0.41, + "grad_norm": 0.19229499003414702, + "learning_rate": 0.0006692641380431879, + "loss": 2.3339, + "step": 891 + }, + { + "epoch": 0.41, + "grad_norm": 0.21774830527816041, + "learning_rate": 0.0006685651096919393, + "loss": 2.3177, + "step": 892 + }, + { + "epoch": 0.41, + "grad_norm": 0.20930569239816452, + "learning_rate": 0.0006678657094231944, + "loss": 2.3752, + "step": 893 + }, + { + "epoch": 0.41, + "grad_norm": 0.2081323023299026, + "learning_rate": 0.0006671659387800909, + "loss": 2.3064, + "step": 894 + }, + { + "epoch": 0.41, + "grad_norm": 0.34002435720731017, + "learning_rate": 0.000666465799306584, + "loss": 2.3881, + "step": 895 + }, + { + "epoch": 0.41, + "grad_norm": 0.20198223078033153, + "learning_rate": 0.0006657652925474423, + "loss": 2.3666, + "step": 896 + }, + { + "epoch": 0.41, + "grad_norm": 0.26007057501897357, + "learning_rate": 0.000665064420048245, + "loss": 2.2755, + "step": 897 + }, + { + "epoch": 0.41, + "grad_norm": 0.26147757897529245, + "learning_rate": 0.0006643631833553785, + "loss": 2.3477, + "step": 898 + }, + { + "epoch": 0.41, + "grad_norm": 0.2060910800057873, + "learning_rate": 0.000663661584016032, + "loss": 2.3614, + "step": 899 + }, + { + "epoch": 0.41, + "grad_norm": 0.26167207038201895, + "learning_rate": 0.0006629596235781957, + "loss": 2.3654, + "step": 900 + }, + { + "epoch": 0.41, + "grad_norm": 0.29495660841161697, + "learning_rate": 0.0006622573035906556, + "loss": 2.2417, + "step": 901 + }, + { + "epoch": 0.41, + "grad_norm": 0.19310821947391765, + "learning_rate": 0.0006615546256029921, + "loss": 2.2905, + "step": 902 + }, + { + "epoch": 0.41, + "grad_norm": 0.26893157663279665, + "learning_rate": 0.0006608515911655743, + "loss": 2.3304, + "step": 903 + }, + { + "epoch": 0.41, + "grad_norm": 0.23075046515978526, + "learning_rate": 0.0006601482018295591, + "loss": 2.35, + "step": 904 + }, + { + "epoch": 0.41, + "grad_norm": 0.1771148701433882, + "learning_rate": 0.0006594444591468851, + "loss": 2.2412, + "step": 905 + }, + { + "epoch": 0.42, + "grad_norm": 0.19489504687864068, + "learning_rate": 0.0006587403646702713, + "loss": 2.2459, + "step": 906 + }, + { + "epoch": 0.42, + "grad_norm": 0.2714518039398787, + "learning_rate": 0.0006580359199532126, + "loss": 2.3484, + "step": 907 + }, + { + "epoch": 0.42, + "grad_norm": 0.19406895693333825, + "learning_rate": 0.000657331126549977, + "loss": 2.3049, + "step": 908 + }, + { + "epoch": 0.42, + "grad_norm": 0.18414270817475306, + "learning_rate": 0.0006566259860156014, + "loss": 2.3283, + "step": 909 + }, + { + "epoch": 0.42, + "grad_norm": 0.17909426935652828, + "learning_rate": 0.0006559204999058888, + "loss": 2.3302, + "step": 910 + }, + { + "epoch": 0.42, + "grad_norm": 0.18988836140984194, + "learning_rate": 0.0006552146697774049, + "loss": 2.3368, + "step": 911 + }, + { + "epoch": 0.42, + "grad_norm": 0.2044259510785487, + "learning_rate": 0.0006545084971874737, + "loss": 2.1915, + "step": 912 + }, + { + "epoch": 0.42, + "grad_norm": 0.18714581792959542, + "learning_rate": 0.0006538019836941758, + "loss": 2.136, + "step": 913 + }, + { + "epoch": 0.42, + "grad_norm": 0.18502481710818772, + "learning_rate": 0.0006530951308563431, + "loss": 2.3043, + "step": 914 + }, + { + "epoch": 0.42, + "grad_norm": 0.1995484296661357, + "learning_rate": 0.0006523879402335567, + "loss": 2.3699, + "step": 915 + }, + { + "epoch": 0.42, + "grad_norm": 0.201887498415686, + "learning_rate": 0.0006516804133861429, + "loss": 2.3451, + "step": 916 + }, + { + "epoch": 0.42, + "grad_norm": 0.18885297927682473, + "learning_rate": 0.0006509725518751698, + "loss": 2.4236, + "step": 917 + }, + { + "epoch": 0.42, + "grad_norm": 0.19519431856405164, + "learning_rate": 0.0006502643572624438, + "loss": 2.4622, + "step": 918 + }, + { + "epoch": 0.42, + "grad_norm": 0.17556897597691706, + "learning_rate": 0.0006495558311105064, + "loss": 2.2327, + "step": 919 + }, + { + "epoch": 0.42, + "grad_norm": 0.17800897997761006, + "learning_rate": 0.0006488469749826305, + "loss": 2.3598, + "step": 920 + }, + { + "epoch": 0.42, + "grad_norm": 0.169142320627074, + "learning_rate": 0.000648137790442817, + "loss": 2.3581, + "step": 921 + }, + { + "epoch": 0.42, + "grad_norm": 0.18464938311431825, + "learning_rate": 0.0006474282790557916, + "loss": 2.268, + "step": 922 + }, + { + "epoch": 0.42, + "grad_norm": 0.17079890582372748, + "learning_rate": 0.000646718442387001, + "loss": 2.2837, + "step": 923 + }, + { + "epoch": 0.42, + "grad_norm": 0.1981558380671666, + "learning_rate": 0.0006460082820026094, + "loss": 2.3379, + "step": 924 + }, + { + "epoch": 0.42, + "grad_norm": 0.1863631429552079, + "learning_rate": 0.0006452977994694959, + "loss": 2.2186, + "step": 925 + }, + { + "epoch": 0.42, + "grad_norm": 0.20432748249266522, + "learning_rate": 0.0006445869963552496, + "loss": 2.4264, + "step": 926 + }, + { + "epoch": 0.43, + "grad_norm": 0.22605622439992526, + "learning_rate": 0.0006438758742281672, + "loss": 2.3001, + "step": 927 + }, + { + "epoch": 0.43, + "grad_norm": 0.18833865740090783, + "learning_rate": 0.0006431644346572495, + "loss": 2.2868, + "step": 928 + }, + { + "epoch": 0.43, + "grad_norm": 0.19269999433795965, + "learning_rate": 0.0006424526792121974, + "loss": 2.2867, + "step": 929 + }, + { + "epoch": 0.43, + "grad_norm": 0.23145182417898588, + "learning_rate": 0.0006417406094634089, + "loss": 2.254, + "step": 930 + }, + { + "epoch": 0.43, + "grad_norm": 0.2292636450731889, + "learning_rate": 0.0006410282269819756, + "loss": 2.1581, + "step": 931 + }, + { + "epoch": 0.43, + "grad_norm": 0.19024776600663415, + "learning_rate": 0.0006403155333396787, + "loss": 2.345, + "step": 932 + }, + { + "epoch": 0.43, + "grad_norm": 0.20433117337761977, + "learning_rate": 0.0006396025301089863, + "loss": 2.3431, + "step": 933 + }, + { + "epoch": 0.43, + "grad_norm": 0.190969878801415, + "learning_rate": 0.0006388892188630493, + "loss": 2.2589, + "step": 934 + }, + { + "epoch": 0.43, + "grad_norm": 0.27387163863468883, + "learning_rate": 0.0006381756011756982, + "loss": 2.4413, + "step": 935 + }, + { + "epoch": 0.43, + "grad_norm": 0.1880523612724434, + "learning_rate": 0.0006374616786214403, + "loss": 2.368, + "step": 936 + }, + { + "epoch": 0.43, + "grad_norm": 0.24568313897734026, + "learning_rate": 0.0006367474527754544, + "loss": 2.2505, + "step": 937 + }, + { + "epoch": 0.43, + "grad_norm": 0.19424083008133555, + "learning_rate": 0.0006360329252135894, + "loss": 2.161, + "step": 938 + }, + { + "epoch": 0.43, + "grad_norm": 0.18516979864603655, + "learning_rate": 0.0006353180975123595, + "loss": 2.2522, + "step": 939 + }, + { + "epoch": 0.43, + "grad_norm": 0.1933796940382306, + "learning_rate": 0.0006346029712489413, + "loss": 2.373, + "step": 940 + }, + { + "epoch": 0.43, + "grad_norm": 0.19567104200965937, + "learning_rate": 0.0006338875480011698, + "loss": 2.253, + "step": 941 + }, + { + "epoch": 0.43, + "grad_norm": 0.18928172635653925, + "learning_rate": 0.0006331718293475357, + "loss": 2.365, + "step": 942 + }, + { + "epoch": 0.43, + "grad_norm": 0.1883402341287598, + "learning_rate": 0.0006324558168671811, + "loss": 2.2489, + "step": 943 + }, + { + "epoch": 0.43, + "grad_norm": 0.18528204655746094, + "learning_rate": 0.0006317395121398968, + "loss": 2.367, + "step": 944 + }, + { + "epoch": 0.43, + "grad_norm": 0.17923568960477376, + "learning_rate": 0.0006310229167461179, + "loss": 2.2457, + "step": 945 + }, + { + "epoch": 0.43, + "grad_norm": 0.21058161914817144, + "learning_rate": 0.0006303060322669214, + "loss": 2.237, + "step": 946 + }, + { + "epoch": 0.43, + "grad_norm": 0.22219026920193016, + "learning_rate": 0.0006295888602840214, + "loss": 2.2812, + "step": 947 + }, + { + "epoch": 0.43, + "grad_norm": 0.17728502029969723, + "learning_rate": 0.0006288714023797671, + "loss": 2.2083, + "step": 948 + }, + { + "epoch": 0.44, + "grad_norm": 0.21983946784046893, + "learning_rate": 0.000628153660137138, + "loss": 2.2738, + "step": 949 + }, + { + "epoch": 0.44, + "grad_norm": 0.19393617441958705, + "learning_rate": 0.0006274356351397413, + "loss": 2.3642, + "step": 950 + }, + { + "epoch": 0.44, + "grad_norm": 0.18198251376069294, + "learning_rate": 0.0006267173289718079, + "loss": 2.3328, + "step": 951 + }, + { + "epoch": 0.44, + "grad_norm": 0.19840623276474004, + "learning_rate": 0.000625998743218189, + "loss": 2.3928, + "step": 952 + }, + { + "epoch": 0.44, + "grad_norm": 0.16490550143095098, + "learning_rate": 0.000625279879464353, + "loss": 2.253, + "step": 953 + }, + { + "epoch": 0.44, + "grad_norm": 0.2219088542312716, + "learning_rate": 0.000624560739296381, + "loss": 2.2894, + "step": 954 + }, + { + "epoch": 0.44, + "grad_norm": 0.21281788014230854, + "learning_rate": 0.0006238413243009648, + "loss": 2.2371, + "step": 955 + }, + { + "epoch": 0.44, + "grad_norm": 0.17765650671732197, + "learning_rate": 0.000623121636065402, + "loss": 2.3553, + "step": 956 + }, + { + "epoch": 0.44, + "grad_norm": 0.20055443908547071, + "learning_rate": 0.0006224016761775933, + "loss": 2.3315, + "step": 957 + }, + { + "epoch": 0.44, + "grad_norm": 0.23511185735862003, + "learning_rate": 0.0006216814462260386, + "loss": 2.3971, + "step": 958 + }, + { + "epoch": 0.44, + "grad_norm": 0.19347813456716173, + "learning_rate": 0.0006209609477998338, + "loss": 2.2927, + "step": 959 + }, + { + "epoch": 0.44, + "grad_norm": 0.1865685439486773, + "learning_rate": 0.0006202401824886674, + "loss": 2.3553, + "step": 960 + }, + { + "epoch": 0.44, + "grad_norm": 0.22144670009934586, + "learning_rate": 0.0006195191518828162, + "loss": 2.2591, + "step": 961 + }, + { + "epoch": 0.44, + "grad_norm": 0.22211037280269338, + "learning_rate": 0.0006187978575731427, + "loss": 2.3444, + "step": 962 + }, + { + "epoch": 0.44, + "grad_norm": 0.1939491948181642, + "learning_rate": 0.0006180763011510911, + "loss": 2.3641, + "step": 963 + }, + { + "epoch": 0.44, + "grad_norm": 0.19701694503342218, + "learning_rate": 0.000617354484208684, + "loss": 2.1935, + "step": 964 + }, + { + "epoch": 0.44, + "grad_norm": 0.31511446440932334, + "learning_rate": 0.0006166324083385189, + "loss": 2.4057, + "step": 965 + }, + { + "epoch": 0.44, + "grad_norm": 0.21384094713131208, + "learning_rate": 0.0006159100751337642, + "loss": 2.2941, + "step": 966 + }, + { + "epoch": 0.44, + "grad_norm": 0.21524731913204212, + "learning_rate": 0.0006151874861881565, + "loss": 2.3714, + "step": 967 + }, + { + "epoch": 0.44, + "grad_norm": 0.22198862415603574, + "learning_rate": 0.0006144646430959964, + "loss": 2.3958, + "step": 968 + }, + { + "epoch": 0.44, + "grad_norm": 0.26020426652389267, + "learning_rate": 0.0006137415474521454, + "loss": 2.3187, + "step": 969 + }, + { + "epoch": 0.44, + "grad_norm": 0.2158983488323549, + "learning_rate": 0.0006130182008520222, + "loss": 2.4328, + "step": 970 + }, + { + "epoch": 0.45, + "grad_norm": 0.29806179780157543, + "learning_rate": 0.000612294604891599, + "loss": 2.2996, + "step": 971 + }, + { + "epoch": 0.45, + "grad_norm": 0.19094894769493104, + "learning_rate": 0.0006115707611673986, + "loss": 2.2549, + "step": 972 + }, + { + "epoch": 0.45, + "grad_norm": 0.2407964857339151, + "learning_rate": 0.0006108466712764902, + "loss": 2.3891, + "step": 973 + }, + { + "epoch": 0.45, + "grad_norm": 0.18501491780491267, + "learning_rate": 0.0006101223368164858, + "loss": 2.3702, + "step": 974 + }, + { + "epoch": 0.45, + "grad_norm": 0.20377471957296275, + "learning_rate": 0.0006093977593855375, + "loss": 2.277, + "step": 975 + }, + { + "epoch": 0.45, + "grad_norm": 0.17517923073942576, + "learning_rate": 0.0006086729405823335, + "loss": 2.2429, + "step": 976 + }, + { + "epoch": 0.45, + "grad_norm": 0.19493129783515237, + "learning_rate": 0.0006079478820060943, + "loss": 2.2864, + "step": 977 + }, + { + "epoch": 0.45, + "grad_norm": 0.20241673364164225, + "learning_rate": 0.0006072225852565695, + "loss": 2.307, + "step": 978 + }, + { + "epoch": 0.45, + "grad_norm": 0.21947432359092806, + "learning_rate": 0.0006064970519340341, + "loss": 2.2389, + "step": 979 + }, + { + "epoch": 0.45, + "grad_norm": 0.20267004419356788, + "learning_rate": 0.0006057712836392856, + "loss": 2.2574, + "step": 980 + }, + { + "epoch": 0.45, + "grad_norm": 0.2483365290695732, + "learning_rate": 0.0006050452819736389, + "loss": 2.3306, + "step": 981 + }, + { + "epoch": 0.45, + "grad_norm": 0.24423742779599047, + "learning_rate": 0.000604319048538925, + "loss": 2.3142, + "step": 982 + }, + { + "epoch": 0.45, + "grad_norm": 0.1926480109330013, + "learning_rate": 0.0006035925849374855, + "loss": 2.3787, + "step": 983 + }, + { + "epoch": 0.45, + "grad_norm": 0.19989371937625453, + "learning_rate": 0.0006028658927721697, + "loss": 2.3171, + "step": 984 + }, + { + "epoch": 0.45, + "grad_norm": 0.21778763716887023, + "learning_rate": 0.0006021389736463321, + "loss": 2.2416, + "step": 985 + }, + { + "epoch": 0.45, + "grad_norm": 0.2528921633359687, + "learning_rate": 0.0006014118291638271, + "loss": 2.2518, + "step": 986 + }, + { + "epoch": 0.45, + "grad_norm": 0.1880540989884949, + "learning_rate": 0.0006006844609290065, + "loss": 2.3139, + "step": 987 + }, + { + "epoch": 0.45, + "grad_norm": 0.1806888423551429, + "learning_rate": 0.0005999568705467161, + "loss": 2.2504, + "step": 988 + }, + { + "epoch": 0.45, + "grad_norm": 0.2086466381261986, + "learning_rate": 0.0005992290596222915, + "loss": 2.3673, + "step": 989 + }, + { + "epoch": 0.45, + "grad_norm": 0.19798143853838837, + "learning_rate": 0.0005985010297615551, + "loss": 2.3874, + "step": 990 + }, + { + "epoch": 0.45, + "grad_norm": 0.19687214659810998, + "learning_rate": 0.0005977727825708123, + "loss": 2.2746, + "step": 991 + }, + { + "epoch": 0.45, + "grad_norm": 0.19757455206800495, + "learning_rate": 0.0005970443196568478, + "loss": 2.3306, + "step": 992 + }, + { + "epoch": 0.46, + "grad_norm": 0.24065239213636638, + "learning_rate": 0.0005963156426269227, + "loss": 2.2898, + "step": 993 + }, + { + "epoch": 0.46, + "grad_norm": 0.1813782260020924, + "learning_rate": 0.0005955867530887702, + "loss": 2.2615, + "step": 994 + }, + { + "epoch": 0.46, + "grad_norm": 0.1966319891318423, + "learning_rate": 0.0005948576526505923, + "loss": 2.2771, + "step": 995 + }, + { + "epoch": 0.46, + "grad_norm": 0.2009311773025214, + "learning_rate": 0.0005941283429210568, + "loss": 2.246, + "step": 996 + }, + { + "epoch": 0.46, + "grad_norm": 0.21336161194018574, + "learning_rate": 0.0005933988255092926, + "loss": 2.2709, + "step": 997 + }, + { + "epoch": 0.46, + "grad_norm": 0.1879526817611693, + "learning_rate": 0.0005926691020248874, + "loss": 2.1845, + "step": 998 + }, + { + "epoch": 0.46, + "grad_norm": 0.2328901742430851, + "learning_rate": 0.0005919391740778833, + "loss": 2.3408, + "step": 999 + }, + { + "epoch": 0.46, + "grad_norm": 0.2028350622823925, + "learning_rate": 0.0005912090432787736, + "loss": 2.239, + "step": 1000 + }, + { + "epoch": 0.46, + "grad_norm": 0.2247958121454979, + "learning_rate": 0.000590478711238499, + "loss": 2.3131, + "step": 1001 + }, + { + "epoch": 0.46, + "grad_norm": 0.18419163699253302, + "learning_rate": 0.0005897481795684446, + "loss": 2.2877, + "step": 1002 + }, + { + "epoch": 0.46, + "grad_norm": 0.22600690682937993, + "learning_rate": 0.0005890174498804355, + "loss": 2.3341, + "step": 1003 + }, + { + "epoch": 0.46, + "grad_norm": 0.1868463333906242, + "learning_rate": 0.0005882865237867339, + "loss": 2.2543, + "step": 1004 + }, + { + "epoch": 0.46, + "grad_norm": 0.22091897929768306, + "learning_rate": 0.0005875554029000353, + "loss": 2.2889, + "step": 1005 + }, + { + "epoch": 0.46, + "grad_norm": 0.2031067202214159, + "learning_rate": 0.0005868240888334653, + "loss": 2.3111, + "step": 1006 + }, + { + "epoch": 0.46, + "grad_norm": 0.21675791690392532, + "learning_rate": 0.0005860925832005753, + "loss": 2.3156, + "step": 1007 + }, + { + "epoch": 0.46, + "grad_norm": 0.1832991047491456, + "learning_rate": 0.0005853608876153395, + "loss": 2.2029, + "step": 1008 + }, + { + "epoch": 0.46, + "grad_norm": 0.23240960393591845, + "learning_rate": 0.0005846290036921512, + "loss": 2.2621, + "step": 1009 + }, + { + "epoch": 0.46, + "grad_norm": 0.2948036650826921, + "learning_rate": 0.0005838969330458195, + "loss": 2.3628, + "step": 1010 + }, + { + "epoch": 0.46, + "grad_norm": 0.18631865453648605, + "learning_rate": 0.0005831646772915651, + "loss": 2.3131, + "step": 1011 + }, + { + "epoch": 0.46, + "grad_norm": 0.46756874766931944, + "learning_rate": 0.0005824322380450173, + "loss": 2.3837, + "step": 1012 + }, + { + "epoch": 0.46, + "grad_norm": 0.21758479069621758, + "learning_rate": 0.0005816996169222102, + "loss": 2.3547, + "step": 1013 + }, + { + "epoch": 0.46, + "grad_norm": 0.2093711128555137, + "learning_rate": 0.0005809668155395793, + "loss": 2.2432, + "step": 1014 + }, + { + "epoch": 0.47, + "grad_norm": 0.33866714062915965, + "learning_rate": 0.0005802338355139578, + "loss": 2.2499, + "step": 1015 + }, + { + "epoch": 0.47, + "grad_norm": 0.23024644829842, + "learning_rate": 0.0005795006784625728, + "loss": 2.3437, + "step": 1016 + }, + { + "epoch": 0.47, + "grad_norm": 0.26825840097822606, + "learning_rate": 0.0005787673460030423, + "loss": 2.2835, + "step": 1017 + }, + { + "epoch": 0.47, + "grad_norm": 0.20183240016934045, + "learning_rate": 0.000578033839753371, + "loss": 2.2759, + "step": 1018 + }, + { + "epoch": 0.47, + "grad_norm": 0.19674374213288, + "learning_rate": 0.0005773001613319476, + "loss": 2.3313, + "step": 1019 + }, + { + "epoch": 0.47, + "grad_norm": 0.18085727925907052, + "learning_rate": 0.00057656631235754, + "loss": 2.268, + "step": 1020 + }, + { + "epoch": 0.47, + "grad_norm": 0.2038679592440122, + "learning_rate": 0.0005758322944492929, + "loss": 2.3487, + "step": 1021 + }, + { + "epoch": 0.47, + "grad_norm": 0.1926720797649195, + "learning_rate": 0.0005750981092267237, + "loss": 2.3543, + "step": 1022 + }, + { + "epoch": 0.47, + "grad_norm": 0.19165106237028234, + "learning_rate": 0.0005743637583097183, + "loss": 2.2886, + "step": 1023 + }, + { + "epoch": 0.47, + "grad_norm": 0.18209386914076375, + "learning_rate": 0.0005736292433185291, + "loss": 2.2387, + "step": 1024 + }, + { + "epoch": 0.47, + "grad_norm": 0.17615385670374137, + "learning_rate": 0.0005728945658737699, + "loss": 2.31, + "step": 1025 + }, + { + "epoch": 0.47, + "grad_norm": 0.17806370038029987, + "learning_rate": 0.0005721597275964133, + "loss": 2.3343, + "step": 1026 + }, + { + "epoch": 0.47, + "grad_norm": 0.19007782070156048, + "learning_rate": 0.0005714247301077865, + "loss": 2.2888, + "step": 1027 + }, + { + "epoch": 0.47, + "grad_norm": 0.19564426674892993, + "learning_rate": 0.0005706895750295682, + "loss": 2.3542, + "step": 1028 + }, + { + "epoch": 0.47, + "grad_norm": 0.20871425165631555, + "learning_rate": 0.0005699542639837844, + "loss": 2.1775, + "step": 1029 + }, + { + "epoch": 0.47, + "grad_norm": 0.1907305098301913, + "learning_rate": 0.0005692187985928055, + "loss": 2.35, + "step": 1030 + }, + { + "epoch": 0.47, + "grad_norm": 0.18374067062515861, + "learning_rate": 0.0005684831804793427, + "loss": 2.2276, + "step": 1031 + }, + { + "epoch": 0.47, + "grad_norm": 0.1861635101650719, + "learning_rate": 0.0005677474112664438, + "loss": 2.2546, + "step": 1032 + }, + { + "epoch": 0.47, + "grad_norm": 0.2242272596410295, + "learning_rate": 0.0005670114925774899, + "loss": 2.2026, + "step": 1033 + }, + { + "epoch": 0.47, + "grad_norm": 0.2618489426289969, + "learning_rate": 0.0005662754260361924, + "loss": 2.2997, + "step": 1034 + }, + { + "epoch": 0.47, + "grad_norm": 0.33415021566162034, + "learning_rate": 0.0005655392132665884, + "loss": 2.3202, + "step": 1035 + }, + { + "epoch": 0.48, + "grad_norm": 0.23644062504153296, + "learning_rate": 0.000564802855893038, + "loss": 2.2847, + "step": 1036 + }, + { + "epoch": 0.48, + "grad_norm": 0.2501062949591512, + "learning_rate": 0.0005640663555402198, + "loss": 2.2566, + "step": 1037 + }, + { + "epoch": 0.48, + "grad_norm": 0.203792001564127, + "learning_rate": 0.0005633297138331285, + "loss": 2.2547, + "step": 1038 + }, + { + "epoch": 0.48, + "grad_norm": 0.19196674519389317, + "learning_rate": 0.0005625929323970705, + "loss": 2.3013, + "step": 1039 + }, + { + "epoch": 0.48, + "grad_norm": 0.25791094714748275, + "learning_rate": 0.0005618560128576603, + "loss": 2.2359, + "step": 1040 + }, + { + "epoch": 0.48, + "grad_norm": 0.20325322131583645, + "learning_rate": 0.0005611189568408173, + "loss": 2.3657, + "step": 1041 + }, + { + "epoch": 0.48, + "grad_norm": 0.2018379047208872, + "learning_rate": 0.0005603817659727619, + "loss": 2.3465, + "step": 1042 + }, + { + "epoch": 0.48, + "grad_norm": 0.21047171654750876, + "learning_rate": 0.0005596444418800121, + "loss": 2.3567, + "step": 1043 + }, + { + "epoch": 0.48, + "grad_norm": 0.20661382862125846, + "learning_rate": 0.0005589069861893798, + "loss": 2.2525, + "step": 1044 + }, + { + "epoch": 0.48, + "grad_norm": 0.19228367630058127, + "learning_rate": 0.0005581694005279673, + "loss": 2.3059, + "step": 1045 + }, + { + "epoch": 0.48, + "grad_norm": 0.20259043264545934, + "learning_rate": 0.0005574316865231637, + "loss": 2.2479, + "step": 1046 + }, + { + "epoch": 0.48, + "grad_norm": 0.19089153911893383, + "learning_rate": 0.0005566938458026411, + "loss": 2.271, + "step": 1047 + }, + { + "epoch": 0.48, + "grad_norm": 0.23068471072136526, + "learning_rate": 0.0005559558799943514, + "loss": 2.3517, + "step": 1048 + }, + { + "epoch": 0.48, + "grad_norm": 0.21223248162790012, + "learning_rate": 0.0005552177907265223, + "loss": 2.2576, + "step": 1049 + }, + { + "epoch": 0.48, + "grad_norm": 0.31319663438786005, + "learning_rate": 0.000554479579627654, + "loss": 2.3121, + "step": 1050 + }, + { + "epoch": 0.48, + "grad_norm": 0.20446917400573966, + "learning_rate": 0.0005537412483265157, + "loss": 2.2647, + "step": 1051 + }, + { + "epoch": 0.48, + "grad_norm": 0.2786858949326627, + "learning_rate": 0.0005530027984521413, + "loss": 2.2764, + "step": 1052 + }, + { + "epoch": 0.48, + "grad_norm": 0.21629333620963334, + "learning_rate": 0.0005522642316338268, + "loss": 2.2398, + "step": 1053 + }, + { + "epoch": 0.48, + "grad_norm": 0.26547945028077696, + "learning_rate": 0.0005515255495011259, + "loss": 2.3294, + "step": 1054 + }, + { + "epoch": 0.48, + "grad_norm": 0.26634753251535265, + "learning_rate": 0.0005507867536838472, + "loss": 2.3617, + "step": 1055 + }, + { + "epoch": 0.48, + "grad_norm": 0.29386828296597256, + "learning_rate": 0.0005500478458120492, + "loss": 2.2953, + "step": 1056 + }, + { + "epoch": 0.48, + "grad_norm": 0.19006661747447498, + "learning_rate": 0.0005493088275160387, + "loss": 2.2812, + "step": 1057 + }, + { + "epoch": 0.49, + "grad_norm": 0.2454462241562612, + "learning_rate": 0.0005485697004263657, + "loss": 2.3125, + "step": 1058 + }, + { + "epoch": 0.49, + "grad_norm": 0.2399264690887458, + "learning_rate": 0.0005478304661738199, + "loss": 2.3748, + "step": 1059 + }, + { + "epoch": 0.49, + "grad_norm": 0.1738298340232373, + "learning_rate": 0.0005470911263894279, + "loss": 2.2223, + "step": 1060 + }, + { + "epoch": 0.49, + "grad_norm": 0.179827510270877, + "learning_rate": 0.0005463516827044491, + "loss": 2.3037, + "step": 1061 + }, + { + "epoch": 0.49, + "grad_norm": 0.22965394233230552, + "learning_rate": 0.000545612136750372, + "loss": 2.3539, + "step": 1062 + }, + { + "epoch": 0.49, + "grad_norm": 0.18669379906517364, + "learning_rate": 0.0005448724901589107, + "loss": 2.2044, + "step": 1063 + }, + { + "epoch": 0.49, + "grad_norm": 0.21985341501033437, + "learning_rate": 0.0005441327445620014, + "loss": 2.2574, + "step": 1064 + }, + { + "epoch": 0.49, + "grad_norm": 0.19425404727092083, + "learning_rate": 0.0005433929015917988, + "loss": 2.3843, + "step": 1065 + }, + { + "epoch": 0.49, + "grad_norm": 0.25767406485142264, + "learning_rate": 0.0005426529628806724, + "loss": 2.2817, + "step": 1066 + }, + { + "epoch": 0.49, + "grad_norm": 0.18238472501806316, + "learning_rate": 0.0005419129300612029, + "loss": 2.2495, + "step": 1067 + }, + { + "epoch": 0.49, + "grad_norm": 0.201570602298331, + "learning_rate": 0.000541172804766179, + "loss": 2.2961, + "step": 1068 + }, + { + "epoch": 0.49, + "grad_norm": 0.24086221216322745, + "learning_rate": 0.0005404325886285927, + "loss": 2.3457, + "step": 1069 + }, + { + "epoch": 0.49, + "grad_norm": 0.2209726697952291, + "learning_rate": 0.000539692283281637, + "loss": 2.2352, + "step": 1070 + }, + { + "epoch": 0.49, + "grad_norm": 0.23454298404531085, + "learning_rate": 0.0005389518903587017, + "loss": 2.3354, + "step": 1071 + }, + { + "epoch": 0.49, + "grad_norm": 0.17445272692232963, + "learning_rate": 0.0005382114114933695, + "loss": 2.294, + "step": 1072 + }, + { + "epoch": 0.49, + "grad_norm": 0.2030831412403649, + "learning_rate": 0.0005374708483194132, + "loss": 2.2684, + "step": 1073 + }, + { + "epoch": 0.49, + "grad_norm": 0.2435087475863543, + "learning_rate": 0.000536730202470791, + "loss": 2.244, + "step": 1074 + }, + { + "epoch": 0.49, + "grad_norm": 0.2709614190995955, + "learning_rate": 0.0005359894755816443, + "loss": 2.3084, + "step": 1075 + }, + { + "epoch": 0.49, + "grad_norm": 0.22929096859745687, + "learning_rate": 0.0005352486692862926, + "loss": 2.3476, + "step": 1076 + }, + { + "epoch": 0.49, + "grad_norm": 0.23709380146561126, + "learning_rate": 0.0005345077852192307, + "loss": 2.2751, + "step": 1077 + }, + { + "epoch": 0.49, + "grad_norm": 0.20407291229680802, + "learning_rate": 0.0005337668250151254, + "loss": 2.2393, + "step": 1078 + }, + { + "epoch": 0.49, + "grad_norm": 0.19233547093680542, + "learning_rate": 0.0005330257903088111, + "loss": 2.3139, + "step": 1079 + }, + { + "epoch": 0.5, + "grad_norm": 0.21543834936182232, + "learning_rate": 0.000532284682735287, + "loss": 2.2958, + "step": 1080 + }, + { + "epoch": 0.5, + "grad_norm": 0.17978413090947715, + "learning_rate": 0.0005315435039297124, + "loss": 2.2525, + "step": 1081 + }, + { + "epoch": 0.5, + "grad_norm": 0.20171842770879145, + "learning_rate": 0.0005308022555274046, + "loss": 2.2355, + "step": 1082 + }, + { + "epoch": 0.5, + "grad_norm": 0.18658755947304875, + "learning_rate": 0.0005300609391638336, + "loss": 2.2889, + "step": 1083 + }, + { + "epoch": 0.5, + "grad_norm": 0.1851271837008504, + "learning_rate": 0.0005293195564746201, + "loss": 2.3078, + "step": 1084 + }, + { + "epoch": 0.5, + "grad_norm": 0.18869242598405417, + "learning_rate": 0.0005285781090955304, + "loss": 2.2867, + "step": 1085 + }, + { + "epoch": 0.5, + "grad_norm": 0.19400741311691838, + "learning_rate": 0.0005278365986624743, + "loss": 2.288, + "step": 1086 + }, + { + "epoch": 0.5, + "grad_norm": 0.19096776001875135, + "learning_rate": 0.0005270950268115001, + "loss": 2.3019, + "step": 1087 + }, + { + "epoch": 0.5, + "grad_norm": 0.18541987260378812, + "learning_rate": 0.0005263533951787919, + "loss": 2.227, + "step": 1088 + }, + { + "epoch": 0.5, + "grad_norm": 0.18190656042986617, + "learning_rate": 0.000525611705400666, + "loss": 2.2503, + "step": 1089 + }, + { + "epoch": 0.5, + "grad_norm": 0.26748336928825994, + "learning_rate": 0.0005248699591135664, + "loss": 2.3488, + "step": 1090 + }, + { + "epoch": 0.5, + "grad_norm": 0.17069847335031554, + "learning_rate": 0.0005241281579540618, + "loss": 2.3185, + "step": 1091 + }, + { + "epoch": 0.5, + "grad_norm": 0.1707549629958552, + "learning_rate": 0.0005233863035588427, + "loss": 2.1952, + "step": 1092 + }, + { + "epoch": 0.5, + "grad_norm": 0.1978292021451277, + "learning_rate": 0.0005226443975647161, + "loss": 2.2348, + "step": 1093 + }, + { + "epoch": 0.5, + "grad_norm": 0.23992658415043197, + "learning_rate": 0.0005219024416086036, + "loss": 2.2473, + "step": 1094 + }, + { + "epoch": 0.5, + "grad_norm": 0.1909821484576342, + "learning_rate": 0.0005211604373275366, + "loss": 2.2342, + "step": 1095 + }, + { + "epoch": 0.5, + "grad_norm": 0.19530377327191842, + "learning_rate": 0.0005204183863586533, + "loss": 2.2779, + "step": 1096 + }, + { + "epoch": 0.5, + "grad_norm": 0.30953001418338605, + "learning_rate": 0.0005196762903391951, + "loss": 2.3838, + "step": 1097 + }, + { + "epoch": 0.5, + "grad_norm": 0.1936213278165242, + "learning_rate": 0.0005189341509065023, + "loss": 2.2591, + "step": 1098 + }, + { + "epoch": 0.5, + "grad_norm": 0.279486149984322, + "learning_rate": 0.0005181919696980112, + "loss": 2.3146, + "step": 1099 + }, + { + "epoch": 0.5, + "grad_norm": 0.2274874356108612, + "learning_rate": 0.0005174497483512506, + "loss": 2.2009, + "step": 1100 + }, + { + "epoch": 0.5, + "grad_norm": 0.19372626673628057, + "learning_rate": 0.0005167074885038374, + "loss": 2.2979, + "step": 1101 + }, + { + "epoch": 0.51, + "grad_norm": 0.23207218951252356, + "learning_rate": 0.0005159651917934735, + "loss": 2.2427, + "step": 1102 + }, + { + "epoch": 0.51, + "grad_norm": 0.18513489727114354, + "learning_rate": 0.0005152228598579428, + "loss": 2.2296, + "step": 1103 + }, + { + "epoch": 0.51, + "grad_norm": 0.20474673296478796, + "learning_rate": 0.000514480494335106, + "loss": 2.2801, + "step": 1104 + }, + { + "epoch": 0.51, + "grad_norm": 0.20996337013276892, + "learning_rate": 0.0005137380968628983, + "loss": 2.2274, + "step": 1105 + }, + { + "epoch": 0.51, + "grad_norm": 0.17903395378055992, + "learning_rate": 0.0005129956690793255, + "loss": 2.2409, + "step": 1106 + }, + { + "epoch": 0.51, + "grad_norm": 0.2015642795837232, + "learning_rate": 0.0005122532126224601, + "loss": 2.2672, + "step": 1107 + }, + { + "epoch": 0.51, + "grad_norm": 0.18309425104212837, + "learning_rate": 0.0005115107291304378, + "loss": 2.2631, + "step": 1108 + }, + { + "epoch": 0.51, + "grad_norm": 0.20530802885289537, + "learning_rate": 0.0005107682202414544, + "loss": 2.1865, + "step": 1109 + }, + { + "epoch": 0.51, + "grad_norm": 0.23239605891290058, + "learning_rate": 0.0005100256875937613, + "loss": 2.2096, + "step": 1110 + }, + { + "epoch": 0.51, + "grad_norm": 0.1893105068635605, + "learning_rate": 0.0005092831328256625, + "loss": 2.2451, + "step": 1111 + }, + { + "epoch": 0.51, + "grad_norm": 0.21067724947451022, + "learning_rate": 0.0005085405575755105, + "loss": 2.249, + "step": 1112 + }, + { + "epoch": 0.51, + "grad_norm": 0.18714955962932112, + "learning_rate": 0.0005077979634817034, + "loss": 2.3871, + "step": 1113 + }, + { + "epoch": 0.51, + "grad_norm": 0.181492974892437, + "learning_rate": 0.0005070553521826808, + "loss": 2.292, + "step": 1114 + }, + { + "epoch": 0.51, + "grad_norm": 0.18986047298411007, + "learning_rate": 0.00050631272531692, + "loss": 2.2914, + "step": 1115 + }, + { + "epoch": 0.51, + "grad_norm": 0.1772325310036856, + "learning_rate": 0.0005055700845229327, + "loss": 2.2242, + "step": 1116 + }, + { + "epoch": 0.51, + "grad_norm": 0.19854487559145773, + "learning_rate": 0.000504827431439262, + "loss": 2.2306, + "step": 1117 + }, + { + "epoch": 0.51, + "grad_norm": 0.20294962941402123, + "learning_rate": 0.000504084767704477, + "loss": 2.2413, + "step": 1118 + }, + { + "epoch": 0.51, + "grad_norm": 0.20062240416716906, + "learning_rate": 0.0005033420949571712, + "loss": 2.2624, + "step": 1119 + }, + { + "epoch": 0.51, + "grad_norm": 0.1905768920984189, + "learning_rate": 0.0005025994148359574, + "loss": 2.2958, + "step": 1120 + }, + { + "epoch": 0.51, + "grad_norm": 0.21825056218276598, + "learning_rate": 0.0005018567289794651, + "loss": 2.2078, + "step": 1121 + }, + { + "epoch": 0.51, + "grad_norm": 0.1862547344235112, + "learning_rate": 0.0005011140390263362, + "loss": 2.2051, + "step": 1122 + }, + { + "epoch": 0.51, + "grad_norm": 0.2036333448599533, + "learning_rate": 0.0005003713466152218, + "loss": 2.2355, + "step": 1123 + }, + { + "epoch": 0.52, + "grad_norm": 0.21524136440080122, + "learning_rate": 0.0004996286533847783, + "loss": 2.3383, + "step": 1124 + }, + { + "epoch": 0.52, + "grad_norm": 0.21719887869380947, + "learning_rate": 0.000498885960973664, + "loss": 2.2381, + "step": 1125 + }, + { + "epoch": 0.52, + "grad_norm": 0.21165162016723654, + "learning_rate": 0.000498143271020535, + "loss": 2.3354, + "step": 1126 + }, + { + "epoch": 0.52, + "grad_norm": 0.18888347385427734, + "learning_rate": 0.0004974005851640428, + "loss": 2.2506, + "step": 1127 + }, + { + "epoch": 0.52, + "grad_norm": 0.19807216773467462, + "learning_rate": 0.000496657905042829, + "loss": 2.2268, + "step": 1128 + }, + { + "epoch": 0.52, + "grad_norm": 0.21322649681062633, + "learning_rate": 0.0004959152322955232, + "loss": 2.3084, + "step": 1129 + }, + { + "epoch": 0.52, + "grad_norm": 0.2003205884852552, + "learning_rate": 0.0004951725685607382, + "loss": 2.2654, + "step": 1130 + }, + { + "epoch": 0.52, + "grad_norm": 0.22529761269497126, + "learning_rate": 0.0004944299154770673, + "loss": 2.3608, + "step": 1131 + }, + { + "epoch": 0.52, + "grad_norm": 0.18678574236074785, + "learning_rate": 0.0004936872746830802, + "loss": 2.3206, + "step": 1132 + }, + { + "epoch": 0.52, + "grad_norm": 0.17608884330479413, + "learning_rate": 0.0004929446478173195, + "loss": 2.2501, + "step": 1133 + }, + { + "epoch": 0.52, + "grad_norm": 0.18342957380802533, + "learning_rate": 0.0004922020365182968, + "loss": 2.2308, + "step": 1134 + }, + { + "epoch": 0.52, + "grad_norm": 0.1792246947862169, + "learning_rate": 0.0004914594424244897, + "loss": 2.2912, + "step": 1135 + }, + { + "epoch": 0.52, + "grad_norm": 0.1809363773455921, + "learning_rate": 0.0004907168671743376, + "loss": 2.2992, + "step": 1136 + }, + { + "epoch": 0.52, + "grad_norm": 0.19986065221721425, + "learning_rate": 0.0004899743124062387, + "loss": 2.3218, + "step": 1137 + }, + { + "epoch": 0.52, + "grad_norm": 0.21152675875515442, + "learning_rate": 0.0004892317797585456, + "loss": 2.3354, + "step": 1138 + }, + { + "epoch": 0.52, + "grad_norm": 0.2005213989352476, + "learning_rate": 0.0004884892708695623, + "loss": 2.2712, + "step": 1139 + }, + { + "epoch": 0.52, + "grad_norm": 0.17032316773415224, + "learning_rate": 0.0004877467873775402, + "loss": 2.3343, + "step": 1140 + }, + { + "epoch": 0.52, + "grad_norm": 0.2025232049746483, + "learning_rate": 0.00048700433092067473, + "loss": 2.1061, + "step": 1141 + }, + { + "epoch": 0.52, + "grad_norm": 0.20032447958338767, + "learning_rate": 0.0004862619031371019, + "loss": 2.2667, + "step": 1142 + }, + { + "epoch": 0.52, + "grad_norm": 0.21950388068719603, + "learning_rate": 0.0004855195056648942, + "loss": 2.2991, + "step": 1143 + }, + { + "epoch": 0.52, + "grad_norm": 0.2795589966691644, + "learning_rate": 0.00048477714014205734, + "loss": 2.3178, + "step": 1144 + }, + { + "epoch": 0.52, + "grad_norm": 0.19261517425854324, + "learning_rate": 0.00048403480820652644, + "loss": 2.2733, + "step": 1145 + }, + { + "epoch": 0.53, + "grad_norm": 0.2054961487492141, + "learning_rate": 0.0004832925114961629, + "loss": 2.3108, + "step": 1146 + }, + { + "epoch": 0.53, + "grad_norm": 0.23954046960380154, + "learning_rate": 0.0004825502516487497, + "loss": 2.2358, + "step": 1147 + }, + { + "epoch": 0.53, + "grad_norm": 0.18611298954807698, + "learning_rate": 0.00048180803030198896, + "loss": 2.2842, + "step": 1148 + }, + { + "epoch": 0.53, + "grad_norm": 0.19093372814583423, + "learning_rate": 0.0004810658490934979, + "loss": 2.2221, + "step": 1149 + }, + { + "epoch": 0.53, + "grad_norm": 0.19223203769535774, + "learning_rate": 0.000480323709660805, + "loss": 2.3011, + "step": 1150 + }, + { + "epoch": 0.53, + "grad_norm": 0.22731974388004775, + "learning_rate": 0.0004795816136413467, + "loss": 2.2097, + "step": 1151 + }, + { + "epoch": 0.53, + "grad_norm": 0.1912017775056782, + "learning_rate": 0.00047883956267246353, + "loss": 2.3103, + "step": 1152 + }, + { + "epoch": 0.53, + "grad_norm": 0.2499409836693643, + "learning_rate": 0.00047809755839139657, + "loss": 2.3499, + "step": 1153 + }, + { + "epoch": 0.53, + "grad_norm": 0.2867112636491996, + "learning_rate": 0.0004773556024352841, + "loss": 2.3371, + "step": 1154 + }, + { + "epoch": 0.53, + "grad_norm": 0.22500797636774908, + "learning_rate": 0.00047661369644115754, + "loss": 2.3049, + "step": 1155 + }, + { + "epoch": 0.53, + "grad_norm": 0.22330440236901491, + "learning_rate": 0.0004758718420459383, + "loss": 2.2907, + "step": 1156 + }, + { + "epoch": 0.53, + "grad_norm": 0.18147654948271694, + "learning_rate": 0.0004751300408864339, + "loss": 2.1761, + "step": 1157 + }, + { + "epoch": 0.53, + "grad_norm": 0.2032371439142983, + "learning_rate": 0.00047438829459933414, + "loss": 2.2264, + "step": 1158 + }, + { + "epoch": 0.53, + "grad_norm": 0.21820864234735196, + "learning_rate": 0.0004736466048212082, + "loss": 2.2077, + "step": 1159 + }, + { + "epoch": 0.53, + "grad_norm": 0.23299194856534536, + "learning_rate": 0.0004729049731885002, + "loss": 2.2465, + "step": 1160 + }, + { + "epoch": 0.53, + "grad_norm": 0.2038406896073209, + "learning_rate": 0.000472163401337526, + "loss": 2.1641, + "step": 1161 + }, + { + "epoch": 0.53, + "grad_norm": 0.1772943850702147, + "learning_rate": 0.00047142189090446985, + "loss": 2.1578, + "step": 1162 + }, + { + "epoch": 0.53, + "grad_norm": 0.20447740878697107, + "learning_rate": 0.0004706804435253802, + "loss": 2.2378, + "step": 1163 + }, + { + "epoch": 0.53, + "grad_norm": 0.20052718808675293, + "learning_rate": 0.0004699390608361665, + "loss": 2.2263, + "step": 1164 + }, + { + "epoch": 0.53, + "grad_norm": 0.23535840606907324, + "learning_rate": 0.0004691977444725955, + "loss": 2.2469, + "step": 1165 + }, + { + "epoch": 0.53, + "grad_norm": 0.19195892214675228, + "learning_rate": 0.0004684564960702877, + "loss": 2.2247, + "step": 1166 + }, + { + "epoch": 0.54, + "grad_norm": 0.22245366059583868, + "learning_rate": 0.0004677153172647131, + "loss": 2.2232, + "step": 1167 + }, + { + "epoch": 0.54, + "grad_norm": 0.3128015982715286, + "learning_rate": 0.00046697420969118894, + "loss": 2.2859, + "step": 1168 + }, + { + "epoch": 0.54, + "grad_norm": 0.18677959306683925, + "learning_rate": 0.00046623317498487466, + "loss": 2.2198, + "step": 1169 + }, + { + "epoch": 0.54, + "grad_norm": 0.18287516761933456, + "learning_rate": 0.0004654922147807694, + "loss": 2.2928, + "step": 1170 + }, + { + "epoch": 0.54, + "grad_norm": 0.23487836310485485, + "learning_rate": 0.00046475133071370757, + "loss": 2.3733, + "step": 1171 + }, + { + "epoch": 0.54, + "grad_norm": 0.236264178735234, + "learning_rate": 0.00046401052441835574, + "loss": 2.1708, + "step": 1172 + }, + { + "epoch": 0.54, + "grad_norm": 0.18304796803271958, + "learning_rate": 0.000463269797529209, + "loss": 2.1492, + "step": 1173 + }, + { + "epoch": 0.54, + "grad_norm": 0.19650688261061686, + "learning_rate": 0.00046252915168058697, + "loss": 2.2861, + "step": 1174 + }, + { + "epoch": 0.54, + "grad_norm": 0.2153293851553533, + "learning_rate": 0.0004617885885066305, + "loss": 2.2142, + "step": 1175 + }, + { + "epoch": 0.54, + "grad_norm": 0.19038469718345974, + "learning_rate": 0.0004610481096412984, + "loss": 2.2386, + "step": 1176 + }, + { + "epoch": 0.54, + "grad_norm": 0.2787724107934683, + "learning_rate": 0.000460307716718363, + "loss": 2.3103, + "step": 1177 + }, + { + "epoch": 0.54, + "grad_norm": 0.20564265023096304, + "learning_rate": 0.0004595674113714074, + "loss": 2.2908, + "step": 1178 + }, + { + "epoch": 0.54, + "grad_norm": 0.19329286241075597, + "learning_rate": 0.0004588271952338212, + "loss": 2.2678, + "step": 1179 + }, + { + "epoch": 0.54, + "grad_norm": 0.2365834813151521, + "learning_rate": 0.00045808706993879714, + "loss": 2.3055, + "step": 1180 + }, + { + "epoch": 0.54, + "grad_norm": 0.185809493920274, + "learning_rate": 0.00045734703711932767, + "loss": 2.2478, + "step": 1181 + }, + { + "epoch": 0.54, + "grad_norm": 0.18810050631567263, + "learning_rate": 0.0004566070984082013, + "loss": 2.2351, + "step": 1182 + }, + { + "epoch": 0.54, + "grad_norm": 0.2467368430148837, + "learning_rate": 0.00045586725543799865, + "loss": 2.2115, + "step": 1183 + }, + { + "epoch": 0.54, + "grad_norm": 0.17927689117548848, + "learning_rate": 0.00045512750984108937, + "loss": 2.2159, + "step": 1184 + }, + { + "epoch": 0.54, + "grad_norm": 0.1846781117772759, + "learning_rate": 0.000454387863249628, + "loss": 2.3077, + "step": 1185 + }, + { + "epoch": 0.54, + "grad_norm": 0.2900751512075014, + "learning_rate": 0.00045364831729555096, + "loss": 2.2833, + "step": 1186 + }, + { + "epoch": 0.54, + "grad_norm": 0.1912324515919627, + "learning_rate": 0.0004529088736105721, + "loss": 2.2981, + "step": 1187 + }, + { + "epoch": 0.54, + "grad_norm": 0.21196450310910056, + "learning_rate": 0.0004521695338261802, + "loss": 2.34, + "step": 1188 + }, + { + "epoch": 0.55, + "grad_norm": 0.18125382055607042, + "learning_rate": 0.0004514302995736344, + "loss": 2.2563, + "step": 1189 + }, + { + "epoch": 0.55, + "grad_norm": 0.19025315113124708, + "learning_rate": 0.0004506911724839613, + "loss": 2.2725, + "step": 1190 + }, + { + "epoch": 0.55, + "grad_norm": 0.18721804621277707, + "learning_rate": 0.0004499521541879508, + "loss": 2.2682, + "step": 1191 + }, + { + "epoch": 0.55, + "grad_norm": 0.18032970095817946, + "learning_rate": 0.00044921324631615303, + "loss": 2.2253, + "step": 1192 + }, + { + "epoch": 0.55, + "grad_norm": 0.20585341122256842, + "learning_rate": 0.0004484744504988742, + "loss": 2.3214, + "step": 1193 + }, + { + "epoch": 0.55, + "grad_norm": 0.1908612281789712, + "learning_rate": 0.00044773576836617336, + "loss": 2.2477, + "step": 1194 + }, + { + "epoch": 0.55, + "grad_norm": 0.18685817519312983, + "learning_rate": 0.0004469972015478588, + "loss": 2.2694, + "step": 1195 + }, + { + "epoch": 0.55, + "grad_norm": 0.18094547890158294, + "learning_rate": 0.0004462587516734844, + "loss": 2.3555, + "step": 1196 + }, + { + "epoch": 0.55, + "grad_norm": 0.19024835084237673, + "learning_rate": 0.00044552042037234596, + "loss": 2.2099, + "step": 1197 + }, + { + "epoch": 0.55, + "grad_norm": 0.25298620550383893, + "learning_rate": 0.00044478220927347774, + "loss": 2.2874, + "step": 1198 + }, + { + "epoch": 0.55, + "grad_norm": 0.18346510605154787, + "learning_rate": 0.00044404412000564875, + "loss": 2.2492, + "step": 1199 + }, + { + "epoch": 0.55, + "grad_norm": 0.18878340688085313, + "learning_rate": 0.000443306154197359, + "loss": 2.2732, + "step": 1200 + }, + { + "epoch": 0.55, + "grad_norm": 0.24906530126708393, + "learning_rate": 0.00044256831347683646, + "loss": 2.2715, + "step": 1201 + }, + { + "epoch": 0.55, + "grad_norm": 0.1922182814973345, + "learning_rate": 0.0004418305994720328, + "loss": 2.2154, + "step": 1202 + }, + { + "epoch": 0.55, + "grad_norm": 0.19288009080164145, + "learning_rate": 0.0004410930138106203, + "loss": 2.2669, + "step": 1203 + }, + { + "epoch": 0.55, + "grad_norm": 0.17549155099447092, + "learning_rate": 0.000440355558119988, + "loss": 2.2603, + "step": 1204 + }, + { + "epoch": 0.55, + "grad_norm": 0.21255106368592674, + "learning_rate": 0.00043961823402723814, + "loss": 2.2817, + "step": 1205 + }, + { + "epoch": 0.55, + "grad_norm": 0.21128789558812464, + "learning_rate": 0.0004388810431591829, + "loss": 2.1811, + "step": 1206 + }, + { + "epoch": 0.55, + "grad_norm": 0.17766707366364953, + "learning_rate": 0.0004381439871423398, + "loss": 2.1903, + "step": 1207 + }, + { + "epoch": 0.55, + "grad_norm": 0.27827061949316606, + "learning_rate": 0.00043740706760292966, + "loss": 2.3613, + "step": 1208 + }, + { + "epoch": 0.55, + "grad_norm": 0.19926969181455123, + "learning_rate": 0.0004366702861668716, + "loss": 2.2602, + "step": 1209 + }, + { + "epoch": 0.55, + "grad_norm": 0.18811612085536475, + "learning_rate": 0.00043593364445978036, + "loss": 2.1927, + "step": 1210 + }, + { + "epoch": 0.56, + "grad_norm": 0.18896764136852554, + "learning_rate": 0.0004351971441069622, + "loss": 2.2669, + "step": 1211 + }, + { + "epoch": 0.56, + "grad_norm": 0.1938219094816705, + "learning_rate": 0.0004344607867334116, + "loss": 2.2337, + "step": 1212 + }, + { + "epoch": 0.56, + "grad_norm": 0.18926851477943216, + "learning_rate": 0.00043372457396380766, + "loss": 2.1689, + "step": 1213 + }, + { + "epoch": 0.56, + "grad_norm": 0.1973034228890134, + "learning_rate": 0.00043298850742251013, + "loss": 2.1653, + "step": 1214 + }, + { + "epoch": 0.56, + "grad_norm": 0.19488744185364906, + "learning_rate": 0.0004322525887335563, + "loss": 2.3052, + "step": 1215 + }, + { + "epoch": 0.56, + "grad_norm": 0.18349572536925124, + "learning_rate": 0.00043151681952065734, + "loss": 2.2275, + "step": 1216 + }, + { + "epoch": 0.56, + "grad_norm": 0.20265050580001648, + "learning_rate": 0.00043078120140719456, + "loss": 2.3454, + "step": 1217 + }, + { + "epoch": 0.56, + "grad_norm": 0.18276899434119848, + "learning_rate": 0.0004300457360162158, + "loss": 2.2345, + "step": 1218 + }, + { + "epoch": 0.56, + "grad_norm": 0.1862332177549386, + "learning_rate": 0.0004293104249704319, + "loss": 2.2503, + "step": 1219 + }, + { + "epoch": 0.56, + "grad_norm": 0.16820538876559463, + "learning_rate": 0.00042857526989221355, + "loss": 2.2382, + "step": 1220 + }, + { + "epoch": 0.56, + "grad_norm": 0.18881251207114616, + "learning_rate": 0.00042784027240358674, + "loss": 2.2268, + "step": 1221 + }, + { + "epoch": 0.56, + "grad_norm": 0.18387922415519586, + "learning_rate": 0.0004271054341262301, + "loss": 2.1616, + "step": 1222 + }, + { + "epoch": 0.56, + "grad_norm": 0.18911087035563762, + "learning_rate": 0.000426370756681471, + "loss": 2.3294, + "step": 1223 + }, + { + "epoch": 0.56, + "grad_norm": 0.17645987498222496, + "learning_rate": 0.0004256362416902817, + "loss": 2.1901, + "step": 1224 + }, + { + "epoch": 0.56, + "grad_norm": 0.190222143136341, + "learning_rate": 0.00042490189077327637, + "loss": 2.2048, + "step": 1225 + }, + { + "epoch": 0.56, + "grad_norm": 0.18429446437189342, + "learning_rate": 0.00042416770555070703, + "loss": 2.2047, + "step": 1226 + }, + { + "epoch": 0.56, + "grad_norm": 0.20509554885670242, + "learning_rate": 0.00042343368764246, + "loss": 2.3187, + "step": 1227 + }, + { + "epoch": 0.56, + "grad_norm": 0.23090396078407904, + "learning_rate": 0.0004226998386680524, + "loss": 2.2922, + "step": 1228 + }, + { + "epoch": 0.56, + "grad_norm": 0.18881409479070263, + "learning_rate": 0.000421966160246629, + "loss": 2.3231, + "step": 1229 + }, + { + "epoch": 0.56, + "grad_norm": 0.21068368167770815, + "learning_rate": 0.00042123265399695783, + "loss": 2.2151, + "step": 1230 + }, + { + "epoch": 0.56, + "grad_norm": 0.1927934321189989, + "learning_rate": 0.0004204993215374273, + "loss": 2.206, + "step": 1231 + }, + { + "epoch": 0.56, + "grad_norm": 0.20990951449812512, + "learning_rate": 0.00041976616448604226, + "loss": 2.3327, + "step": 1232 + }, + { + "epoch": 0.57, + "grad_norm": 0.19463041699272174, + "learning_rate": 0.00041903318446042076, + "loss": 2.2831, + "step": 1233 + }, + { + "epoch": 0.57, + "grad_norm": 0.18135827752732028, + "learning_rate": 0.00041830038307778984, + "loss": 2.3148, + "step": 1234 + }, + { + "epoch": 0.57, + "grad_norm": 0.1746691825406842, + "learning_rate": 0.0004175677619549828, + "loss": 2.2179, + "step": 1235 + }, + { + "epoch": 0.57, + "grad_norm": 0.21862887106824952, + "learning_rate": 0.000416835322708435, + "loss": 2.3168, + "step": 1236 + }, + { + "epoch": 0.57, + "grad_norm": 0.2728361671936902, + "learning_rate": 0.00041610306695418056, + "loss": 2.3114, + "step": 1237 + }, + { + "epoch": 0.57, + "grad_norm": 0.18749376213413793, + "learning_rate": 0.0004153709963078488, + "loss": 2.2081, + "step": 1238 + }, + { + "epoch": 0.57, + "grad_norm": 0.20172508003082934, + "learning_rate": 0.0004146391123846606, + "loss": 2.1533, + "step": 1239 + }, + { + "epoch": 0.57, + "grad_norm": 0.1905211734280136, + "learning_rate": 0.0004139074167994249, + "loss": 2.3602, + "step": 1240 + }, + { + "epoch": 0.57, + "grad_norm": 0.22928757774524552, + "learning_rate": 0.00041317591116653486, + "loss": 2.2466, + "step": 1241 + }, + { + "epoch": 0.57, + "grad_norm": 0.17774388780265438, + "learning_rate": 0.0004124445970999648, + "loss": 2.2, + "step": 1242 + }, + { + "epoch": 0.57, + "grad_norm": 0.18508717661770255, + "learning_rate": 0.00041171347621326627, + "loss": 2.2453, + "step": 1243 + }, + { + "epoch": 0.57, + "grad_norm": 0.20431750035364474, + "learning_rate": 0.00041098255011956465, + "loss": 2.3943, + "step": 1244 + }, + { + "epoch": 0.57, + "grad_norm": 0.1866450005792133, + "learning_rate": 0.00041025182043155547, + "loss": 2.1703, + "step": 1245 + }, + { + "epoch": 0.57, + "grad_norm": 0.2172384875477202, + "learning_rate": 0.000409521288761501, + "loss": 2.1623, + "step": 1246 + }, + { + "epoch": 0.57, + "grad_norm": 0.20709352285882723, + "learning_rate": 0.00040879095672122646, + "loss": 2.3205, + "step": 1247 + }, + { + "epoch": 0.57, + "grad_norm": 0.17462529618629322, + "learning_rate": 0.0004080608259221167, + "loss": 2.2962, + "step": 1248 + }, + { + "epoch": 0.57, + "grad_norm": 0.21031774762766467, + "learning_rate": 0.0004073308979751126, + "loss": 2.2274, + "step": 1249 + }, + { + "epoch": 0.57, + "grad_norm": 0.18354241116167444, + "learning_rate": 0.0004066011744907074, + "loss": 2.2819, + "step": 1250 + }, + { + "epoch": 0.57, + "grad_norm": 0.18975372655131278, + "learning_rate": 0.00040587165707894326, + "loss": 2.2845, + "step": 1251 + }, + { + "epoch": 0.57, + "grad_norm": 0.1797951642734182, + "learning_rate": 0.0004051423473494076, + "loss": 2.2174, + "step": 1252 + }, + { + "epoch": 0.57, + "grad_norm": 0.19008946430655352, + "learning_rate": 0.0004044132469112299, + "loss": 2.1995, + "step": 1253 + }, + { + "epoch": 0.57, + "grad_norm": 0.18958866429164678, + "learning_rate": 0.00040368435737307733, + "loss": 2.1729, + "step": 1254 + }, + { + "epoch": 0.58, + "grad_norm": 0.2224723642152882, + "learning_rate": 0.00040295568034315224, + "loss": 2.2977, + "step": 1255 + }, + { + "epoch": 0.58, + "grad_norm": 0.1957094952263542, + "learning_rate": 0.0004022272174291878, + "loss": 2.2346, + "step": 1256 + }, + { + "epoch": 0.58, + "grad_norm": 0.22023229819181303, + "learning_rate": 0.0004014989702384449, + "loss": 2.2463, + "step": 1257 + }, + { + "epoch": 0.58, + "grad_norm": 0.1906386449405532, + "learning_rate": 0.00040077094037770843, + "loss": 2.1761, + "step": 1258 + }, + { + "epoch": 0.58, + "grad_norm": 0.20287614741675425, + "learning_rate": 0.0004000431294532838, + "loss": 2.2827, + "step": 1259 + }, + { + "epoch": 0.58, + "grad_norm": 0.2528854170430994, + "learning_rate": 0.0003993155390709935, + "loss": 2.2153, + "step": 1260 + }, + { + "epoch": 0.58, + "grad_norm": 0.19241776590473417, + "learning_rate": 0.0003985881708361729, + "loss": 2.3144, + "step": 1261 + }, + { + "epoch": 0.58, + "grad_norm": 0.1888228793502787, + "learning_rate": 0.00039786102635366784, + "loss": 2.162, + "step": 1262 + }, + { + "epoch": 0.58, + "grad_norm": 0.2234874940035254, + "learning_rate": 0.0003971341072278302, + "loss": 2.1962, + "step": 1263 + }, + { + "epoch": 0.58, + "grad_norm": 0.18955654291845556, + "learning_rate": 0.00039640741506251457, + "loss": 2.1761, + "step": 1264 + }, + { + "epoch": 0.58, + "grad_norm": 0.23993605003845758, + "learning_rate": 0.00039568095146107495, + "loss": 2.2399, + "step": 1265 + }, + { + "epoch": 0.58, + "grad_norm": 0.18445708208105568, + "learning_rate": 0.00039495471802636096, + "loss": 2.2359, + "step": 1266 + }, + { + "epoch": 0.58, + "grad_norm": 0.186414375797195, + "learning_rate": 0.0003942287163607145, + "loss": 2.3477, + "step": 1267 + }, + { + "epoch": 0.58, + "grad_norm": 0.1838374171172832, + "learning_rate": 0.0003935029480659658, + "loss": 2.2312, + "step": 1268 + }, + { + "epoch": 0.58, + "grad_norm": 0.20425104144258618, + "learning_rate": 0.00039277741474343054, + "loss": 2.2464, + "step": 1269 + }, + { + "epoch": 0.58, + "grad_norm": 0.21409283388797837, + "learning_rate": 0.0003920521179939057, + "loss": 2.2854, + "step": 1270 + }, + { + "epoch": 0.58, + "grad_norm": 0.18037460096337335, + "learning_rate": 0.00039132705941766644, + "loss": 2.2891, + "step": 1271 + }, + { + "epoch": 0.58, + "grad_norm": 0.188793063550782, + "learning_rate": 0.0003906022406144624, + "loss": 2.2689, + "step": 1272 + }, + { + "epoch": 0.58, + "grad_norm": 0.23379910810357254, + "learning_rate": 0.0003898776631835143, + "loss": 2.2444, + "step": 1273 + }, + { + "epoch": 0.58, + "grad_norm": 0.2418846347958164, + "learning_rate": 0.00038915332872350994, + "loss": 2.2695, + "step": 1274 + }, + { + "epoch": 0.58, + "grad_norm": 0.20898329577923583, + "learning_rate": 0.00038842923883260135, + "loss": 2.2475, + "step": 1275 + }, + { + "epoch": 0.59, + "grad_norm": 0.20182748139344864, + "learning_rate": 0.00038770539510840093, + "loss": 2.2841, + "step": 1276 + }, + { + "epoch": 0.59, + "grad_norm": 0.17670515578860566, + "learning_rate": 0.00038698179914797783, + "loss": 2.1946, + "step": 1277 + }, + { + "epoch": 0.59, + "grad_norm": 0.20684398924091532, + "learning_rate": 0.0003862584525478545, + "loss": 2.4186, + "step": 1278 + }, + { + "epoch": 0.59, + "grad_norm": 0.17770115857670463, + "learning_rate": 0.00038553535690400353, + "loss": 2.3019, + "step": 1279 + }, + { + "epoch": 0.59, + "grad_norm": 0.2358064511008403, + "learning_rate": 0.00038481251381184355, + "loss": 2.3173, + "step": 1280 + }, + { + "epoch": 0.59, + "grad_norm": 0.17765235888945596, + "learning_rate": 0.00038408992486623584, + "loss": 2.1932, + "step": 1281 + }, + { + "epoch": 0.59, + "grad_norm": 0.18892421840227794, + "learning_rate": 0.00038336759166148117, + "loss": 2.1715, + "step": 1282 + }, + { + "epoch": 0.59, + "grad_norm": 0.3000085130779585, + "learning_rate": 0.0003826455157913159, + "loss": 2.2992, + "step": 1283 + }, + { + "epoch": 0.59, + "grad_norm": 0.22045775371586201, + "learning_rate": 0.00038192369884890886, + "loss": 2.2475, + "step": 1284 + }, + { + "epoch": 0.59, + "grad_norm": 0.22013586932891713, + "learning_rate": 0.00038120214242685723, + "loss": 2.1329, + "step": 1285 + }, + { + "epoch": 0.59, + "grad_norm": 0.340075280439399, + "learning_rate": 0.00038048084811718373, + "loss": 2.2927, + "step": 1286 + }, + { + "epoch": 0.59, + "grad_norm": 0.23364609073286757, + "learning_rate": 0.0003797598175113327, + "loss": 2.1574, + "step": 1287 + }, + { + "epoch": 0.59, + "grad_norm": 0.2102621086284534, + "learning_rate": 0.0003790390522001662, + "loss": 2.3669, + "step": 1288 + }, + { + "epoch": 0.59, + "grad_norm": 0.3094465808386579, + "learning_rate": 0.0003783185537739615, + "loss": 2.1568, + "step": 1289 + }, + { + "epoch": 0.59, + "grad_norm": 0.28653852249152384, + "learning_rate": 0.00037759832382240697, + "loss": 2.132, + "step": 1290 + }, + { + "epoch": 0.59, + "grad_norm": 0.18038992475960816, + "learning_rate": 0.00037687836393459826, + "loss": 2.2981, + "step": 1291 + }, + { + "epoch": 0.59, + "grad_norm": 0.2546417220749466, + "learning_rate": 0.0003761586756990354, + "loss": 2.2508, + "step": 1292 + }, + { + "epoch": 0.59, + "grad_norm": 0.2690586355651456, + "learning_rate": 0.0003754392607036191, + "loss": 2.2928, + "step": 1293 + }, + { + "epoch": 0.59, + "grad_norm": 0.1799824059163454, + "learning_rate": 0.0003747201205356472, + "loss": 2.1295, + "step": 1294 + }, + { + "epoch": 0.59, + "grad_norm": 0.20952931801550648, + "learning_rate": 0.0003740012567818111, + "loss": 2.2855, + "step": 1295 + }, + { + "epoch": 0.59, + "grad_norm": 0.3001885106631049, + "learning_rate": 0.0003732826710281922, + "loss": 2.2083, + "step": 1296 + }, + { + "epoch": 0.59, + "grad_norm": 0.24445052518317822, + "learning_rate": 0.0003725643648602588, + "loss": 2.1802, + "step": 1297 + }, + { + "epoch": 0.6, + "grad_norm": 0.19661733746944998, + "learning_rate": 0.0003718463398628621, + "loss": 2.2961, + "step": 1298 + }, + { + "epoch": 0.6, + "grad_norm": 0.18121739168870124, + "learning_rate": 0.0003711285976202331, + "loss": 2.2257, + "step": 1299 + }, + { + "epoch": 0.6, + "grad_norm": 0.18195545427631368, + "learning_rate": 0.0003704111397159787, + "loss": 2.2414, + "step": 1300 + }, + { + "epoch": 0.6, + "grad_norm": 0.2405270900423001, + "learning_rate": 0.0003696939677330788, + "loss": 2.2563, + "step": 1301 + }, + { + "epoch": 0.6, + "grad_norm": 0.18034266293866646, + "learning_rate": 0.00036897708325388213, + "loss": 2.2153, + "step": 1302 + }, + { + "epoch": 0.6, + "grad_norm": 0.1850260387124836, + "learning_rate": 0.0003682604878601034, + "loss": 2.2158, + "step": 1303 + }, + { + "epoch": 0.6, + "grad_norm": 0.2064985826226712, + "learning_rate": 0.000367544183132819, + "loss": 2.3413, + "step": 1304 + }, + { + "epoch": 0.6, + "grad_norm": 0.18712081828786284, + "learning_rate": 0.0003668281706524645, + "loss": 2.2059, + "step": 1305 + }, + { + "epoch": 0.6, + "grad_norm": 0.2734511063203182, + "learning_rate": 0.0003661124519988304, + "loss": 2.2164, + "step": 1306 + }, + { + "epoch": 0.6, + "grad_norm": 0.18255899373613693, + "learning_rate": 0.00036539702875105893, + "loss": 2.3133, + "step": 1307 + }, + { + "epoch": 0.6, + "grad_norm": 0.1879123363188035, + "learning_rate": 0.0003646819024876406, + "loss": 2.2098, + "step": 1308 + }, + { + "epoch": 0.6, + "grad_norm": 0.180183574488371, + "learning_rate": 0.0003639670747864107, + "loss": 2.2786, + "step": 1309 + }, + { + "epoch": 0.6, + "grad_norm": 0.19242360692321994, + "learning_rate": 0.00036325254722454584, + "loss": 2.1864, + "step": 1310 + }, + { + "epoch": 0.6, + "grad_norm": 0.1806397753088917, + "learning_rate": 0.00036253832137855997, + "loss": 2.2608, + "step": 1311 + }, + { + "epoch": 0.6, + "grad_norm": 0.18482521161844623, + "learning_rate": 0.00036182439882430183, + "loss": 2.2817, + "step": 1312 + }, + { + "epoch": 0.6, + "grad_norm": 0.2552333068790262, + "learning_rate": 0.00036111078113695096, + "loss": 2.2366, + "step": 1313 + }, + { + "epoch": 0.6, + "grad_norm": 0.19595820427188101, + "learning_rate": 0.0003603974698910139, + "loss": 2.2617, + "step": 1314 + }, + { + "epoch": 0.6, + "grad_norm": 0.17740108185580644, + "learning_rate": 0.0003596844666603214, + "loss": 2.2654, + "step": 1315 + }, + { + "epoch": 0.6, + "grad_norm": 0.23578194280941028, + "learning_rate": 0.0003589717730180245, + "loss": 2.2537, + "step": 1316 + }, + { + "epoch": 0.6, + "grad_norm": 0.2658032910863844, + "learning_rate": 0.00035825939053659117, + "loss": 2.3486, + "step": 1317 + }, + { + "epoch": 0.6, + "grad_norm": 0.21632284442012603, + "learning_rate": 0.00035754732078780273, + "loss": 2.3047, + "step": 1318 + }, + { + "epoch": 0.6, + "grad_norm": 0.18913978026393974, + "learning_rate": 0.00035683556534275076, + "loss": 2.1875, + "step": 1319 + }, + { + "epoch": 0.61, + "grad_norm": 0.2844470053866404, + "learning_rate": 0.00035612412577183303, + "loss": 2.2038, + "step": 1320 + }, + { + "epoch": 0.61, + "grad_norm": 0.18642782790201706, + "learning_rate": 0.00035541300364475063, + "loss": 2.2436, + "step": 1321 + }, + { + "epoch": 0.61, + "grad_norm": 0.1775893194022604, + "learning_rate": 0.0003547022005305043, + "loss": 2.1513, + "step": 1322 + }, + { + "epoch": 0.61, + "grad_norm": 0.20385968479729516, + "learning_rate": 0.0003539917179973907, + "loss": 2.2503, + "step": 1323 + }, + { + "epoch": 0.61, + "grad_norm": 0.17595962168765855, + "learning_rate": 0.00035328155761299917, + "loss": 2.1725, + "step": 1324 + }, + { + "epoch": 0.61, + "grad_norm": 0.17872433773992158, + "learning_rate": 0.0003525717209442085, + "loss": 2.2968, + "step": 1325 + }, + { + "epoch": 0.61, + "grad_norm": 0.19567661799867794, + "learning_rate": 0.00035186220955718306, + "loss": 2.2611, + "step": 1326 + }, + { + "epoch": 0.61, + "grad_norm": 0.20273265369321386, + "learning_rate": 0.0003511530250173696, + "loss": 2.3664, + "step": 1327 + }, + { + "epoch": 0.61, + "grad_norm": 0.20211778955213286, + "learning_rate": 0.00035044416888949364, + "loss": 2.2597, + "step": 1328 + }, + { + "epoch": 0.61, + "grad_norm": 0.19139268504947132, + "learning_rate": 0.0003497356427375562, + "loss": 2.2682, + "step": 1329 + }, + { + "epoch": 0.61, + "grad_norm": 0.18447269131526733, + "learning_rate": 0.00034902744812483034, + "loss": 2.2752, + "step": 1330 + }, + { + "epoch": 0.61, + "grad_norm": 0.19284858252669615, + "learning_rate": 0.00034831958661385714, + "loss": 2.2985, + "step": 1331 + }, + { + "epoch": 0.61, + "grad_norm": 0.18461881893382576, + "learning_rate": 0.0003476120597664434, + "loss": 2.2102, + "step": 1332 + }, + { + "epoch": 0.61, + "grad_norm": 0.1855244860987682, + "learning_rate": 0.00034690486914365704, + "loss": 2.2778, + "step": 1333 + }, + { + "epoch": 0.61, + "grad_norm": 0.1911956466898806, + "learning_rate": 0.00034619801630582435, + "loss": 2.2485, + "step": 1334 + }, + { + "epoch": 0.61, + "grad_norm": 0.20465760409312944, + "learning_rate": 0.00034549150281252633, + "loss": 2.2052, + "step": 1335 + }, + { + "epoch": 0.61, + "grad_norm": 0.2801317674455071, + "learning_rate": 0.0003447853302225952, + "loss": 2.2726, + "step": 1336 + }, + { + "epoch": 0.61, + "grad_norm": 0.18842951958541385, + "learning_rate": 0.00034407950009411126, + "loss": 2.1703, + "step": 1337 + }, + { + "epoch": 0.61, + "grad_norm": 0.1973682529156317, + "learning_rate": 0.00034337401398439873, + "loss": 2.2267, + "step": 1338 + }, + { + "epoch": 0.61, + "grad_norm": 0.1835531916927005, + "learning_rate": 0.00034266887345002305, + "loss": 2.2262, + "step": 1339 + }, + { + "epoch": 0.61, + "grad_norm": 0.2582758447711379, + "learning_rate": 0.0003419640800467874, + "loss": 2.243, + "step": 1340 + }, + { + "epoch": 0.61, + "grad_norm": 0.29089237700785897, + "learning_rate": 0.0003412596353297288, + "loss": 2.1537, + "step": 1341 + }, + { + "epoch": 0.62, + "grad_norm": 0.20166142977304616, + "learning_rate": 0.00034055554085311493, + "loss": 2.2695, + "step": 1342 + }, + { + "epoch": 0.62, + "grad_norm": 0.19518983404552798, + "learning_rate": 0.00033985179817044105, + "loss": 2.2087, + "step": 1343 + }, + { + "epoch": 0.62, + "grad_norm": 0.2468136038172577, + "learning_rate": 0.0003391484088344257, + "loss": 2.2733, + "step": 1344 + }, + { + "epoch": 0.62, + "grad_norm": 0.24428106967888125, + "learning_rate": 0.00033844537439700807, + "loss": 2.2454, + "step": 1345 + }, + { + "epoch": 0.62, + "grad_norm": 0.2029546107476688, + "learning_rate": 0.00033774269640934445, + "loss": 2.2247, + "step": 1346 + }, + { + "epoch": 0.62, + "grad_norm": 0.20522621702789048, + "learning_rate": 0.0003370403764218045, + "loss": 2.2284, + "step": 1347 + }, + { + "epoch": 0.62, + "grad_norm": 0.18433801924083765, + "learning_rate": 0.000336338415983968, + "loss": 2.2512, + "step": 1348 + }, + { + "epoch": 0.62, + "grad_norm": 0.19598892253268746, + "learning_rate": 0.00033563681664462155, + "loss": 2.1926, + "step": 1349 + }, + { + "epoch": 0.62, + "grad_norm": 0.197308707696409, + "learning_rate": 0.000334935579951755, + "loss": 2.2156, + "step": 1350 + }, + { + "epoch": 0.62, + "grad_norm": 0.1793875776965209, + "learning_rate": 0.0003342347074525578, + "loss": 2.2778, + "step": 1351 + }, + { + "epoch": 0.62, + "grad_norm": 0.1811369925364848, + "learning_rate": 0.0003335342006934161, + "loss": 2.272, + "step": 1352 + }, + { + "epoch": 0.62, + "grad_norm": 0.19513199396328343, + "learning_rate": 0.00033283406121990914, + "loss": 2.1905, + "step": 1353 + }, + { + "epoch": 0.62, + "grad_norm": 0.20070695255916304, + "learning_rate": 0.0003321342905768057, + "loss": 2.2238, + "step": 1354 + }, + { + "epoch": 0.62, + "grad_norm": 0.29299169256740776, + "learning_rate": 0.00033143489030806086, + "loss": 2.2868, + "step": 1355 + }, + { + "epoch": 0.62, + "grad_norm": 0.1857749396649075, + "learning_rate": 0.00033073586195681227, + "loss": 2.3183, + "step": 1356 + }, + { + "epoch": 0.62, + "grad_norm": 0.23241927742011315, + "learning_rate": 0.00033003720706537736, + "loss": 2.1935, + "step": 1357 + }, + { + "epoch": 0.62, + "grad_norm": 0.1871646743527776, + "learning_rate": 0.0003293389271752492, + "loss": 2.2085, + "step": 1358 + }, + { + "epoch": 0.62, + "grad_norm": 0.20041938281263647, + "learning_rate": 0.00032864102382709374, + "loss": 2.2322, + "step": 1359 + }, + { + "epoch": 0.62, + "grad_norm": 0.17434633835093435, + "learning_rate": 0.000327943498560746, + "loss": 2.1981, + "step": 1360 + }, + { + "epoch": 0.62, + "grad_norm": 0.17996352870957807, + "learning_rate": 0.00032724635291520694, + "loss": 2.2281, + "step": 1361 + }, + { + "epoch": 0.62, + "grad_norm": 0.1910484386383553, + "learning_rate": 0.00032654958842863967, + "loss": 2.2664, + "step": 1362 + }, + { + "epoch": 0.62, + "grad_norm": 0.1863680563344538, + "learning_rate": 0.0003258532066383667, + "loss": 2.3068, + "step": 1363 + }, + { + "epoch": 0.63, + "grad_norm": 0.2214543974915027, + "learning_rate": 0.000325157209080866, + "loss": 2.229, + "step": 1364 + }, + { + "epoch": 0.63, + "grad_norm": 0.1996595869906418, + "learning_rate": 0.00032446159729176743, + "loss": 2.2015, + "step": 1365 + }, + { + "epoch": 0.63, + "grad_norm": 0.18695596002789788, + "learning_rate": 0.0003237663728058502, + "loss": 2.408, + "step": 1366 + }, + { + "epoch": 0.63, + "grad_norm": 0.18537889814260455, + "learning_rate": 0.0003230715371570389, + "loss": 2.3043, + "step": 1367 + }, + { + "epoch": 0.63, + "grad_norm": 0.20161357499972068, + "learning_rate": 0.00032237709187839996, + "loss": 2.2627, + "step": 1368 + }, + { + "epoch": 0.63, + "grad_norm": 0.17770813522381917, + "learning_rate": 0.0003216830385021388, + "loss": 2.1704, + "step": 1369 + }, + { + "epoch": 0.63, + "grad_norm": 0.1882891867328501, + "learning_rate": 0.0003209893785595959, + "loss": 2.1541, + "step": 1370 + }, + { + "epoch": 0.63, + "grad_norm": 0.18148336221915956, + "learning_rate": 0.00032029611358124366, + "loss": 2.1277, + "step": 1371 + }, + { + "epoch": 0.63, + "grad_norm": 0.22063536784742852, + "learning_rate": 0.00031960324509668336, + "loss": 2.2815, + "step": 1372 + }, + { + "epoch": 0.63, + "grad_norm": 0.19274576882109398, + "learning_rate": 0.0003189107746346412, + "loss": 2.274, + "step": 1373 + }, + { + "epoch": 0.63, + "grad_norm": 0.1783566472982605, + "learning_rate": 0.0003182187037229653, + "loss": 2.2153, + "step": 1374 + }, + { + "epoch": 0.63, + "grad_norm": 0.18987526139622726, + "learning_rate": 0.0003175270338886221, + "loss": 2.206, + "step": 1375 + }, + { + "epoch": 0.63, + "grad_norm": 0.1918301507595119, + "learning_rate": 0.00031683576665769345, + "loss": 2.278, + "step": 1376 + }, + { + "epoch": 0.63, + "grad_norm": 0.19405913021661603, + "learning_rate": 0.0003161449035553724, + "loss": 2.289, + "step": 1377 + }, + { + "epoch": 0.63, + "grad_norm": 0.21268375964761443, + "learning_rate": 0.00031545444610596077, + "loss": 2.2073, + "step": 1378 + }, + { + "epoch": 0.63, + "grad_norm": 0.18786091584820366, + "learning_rate": 0.000314764395832865, + "loss": 2.2418, + "step": 1379 + }, + { + "epoch": 0.63, + "grad_norm": 0.1920977801485012, + "learning_rate": 0.0003140747542585934, + "loss": 2.2774, + "step": 1380 + }, + { + "epoch": 0.63, + "grad_norm": 0.18637431001456997, + "learning_rate": 0.00031338552290475266, + "loss": 2.2658, + "step": 1381 + }, + { + "epoch": 0.63, + "grad_norm": 0.18751012684114202, + "learning_rate": 0.00031269670329204396, + "loss": 2.308, + "step": 1382 + }, + { + "epoch": 0.63, + "grad_norm": 0.179257558551878, + "learning_rate": 0.0003120082969402604, + "loss": 2.1993, + "step": 1383 + }, + { + "epoch": 0.63, + "grad_norm": 0.19745655258571612, + "learning_rate": 0.00031132030536828314, + "loss": 2.2377, + "step": 1384 + }, + { + "epoch": 0.64, + "grad_norm": 0.20481796168631677, + "learning_rate": 0.00031063273009407805, + "loss": 2.1236, + "step": 1385 + }, + { + "epoch": 0.64, + "grad_norm": 0.17455041855029613, + "learning_rate": 0.00030994557263469265, + "loss": 2.2097, + "step": 1386 + }, + { + "epoch": 0.64, + "grad_norm": 0.2000083857724696, + "learning_rate": 0.0003092588345062526, + "loss": 2.3426, + "step": 1387 + }, + { + "epoch": 0.64, + "grad_norm": 0.22740707474544689, + "learning_rate": 0.0003085725172239582, + "loss": 2.2301, + "step": 1388 + }, + { + "epoch": 0.64, + "grad_norm": 0.21101889302825252, + "learning_rate": 0.0003078866223020815, + "loss": 2.1959, + "step": 1389 + }, + { + "epoch": 0.64, + "grad_norm": 0.18547495425636396, + "learning_rate": 0.0003072011512539624, + "loss": 2.3096, + "step": 1390 + }, + { + "epoch": 0.64, + "grad_norm": 0.189292496462095, + "learning_rate": 0.00030651610559200574, + "loss": 2.3003, + "step": 1391 + }, + { + "epoch": 0.64, + "grad_norm": 0.19720870200104826, + "learning_rate": 0.00030583148682767757, + "loss": 2.2529, + "step": 1392 + }, + { + "epoch": 0.64, + "grad_norm": 0.23025911409106464, + "learning_rate": 0.00030514729647150243, + "loss": 2.2748, + "step": 1393 + }, + { + "epoch": 0.64, + "grad_norm": 0.18967007909460432, + "learning_rate": 0.0003044635360330592, + "loss": 2.254, + "step": 1394 + }, + { + "epoch": 0.64, + "grad_norm": 0.18041237489552786, + "learning_rate": 0.00030378020702097845, + "loss": 2.3182, + "step": 1395 + }, + { + "epoch": 0.64, + "grad_norm": 0.1916160109152058, + "learning_rate": 0.000303097310942939, + "loss": 2.1872, + "step": 1396 + }, + { + "epoch": 0.64, + "grad_norm": 0.1986127504362061, + "learning_rate": 0.0003024148493056641, + "loss": 2.2702, + "step": 1397 + }, + { + "epoch": 0.64, + "grad_norm": 0.2144703637681908, + "learning_rate": 0.00030173282361491865, + "loss": 2.2711, + "step": 1398 + }, + { + "epoch": 0.64, + "grad_norm": 0.1940810374355363, + "learning_rate": 0.0003010512353755057, + "loss": 2.2136, + "step": 1399 + }, + { + "epoch": 0.64, + "grad_norm": 0.1792079359632857, + "learning_rate": 0.00030037008609126313, + "loss": 2.2427, + "step": 1400 + }, + { + "epoch": 0.64, + "grad_norm": 0.19538946019120856, + "learning_rate": 0.0002996893772650602, + "loss": 2.1542, + "step": 1401 + }, + { + "epoch": 0.64, + "grad_norm": 0.18738676868155263, + "learning_rate": 0.0002990091103987945, + "loss": 2.259, + "step": 1402 + }, + { + "epoch": 0.64, + "grad_norm": 0.1862799861232553, + "learning_rate": 0.0002983292869933886, + "loss": 2.2193, + "step": 1403 + }, + { + "epoch": 0.64, + "grad_norm": 0.18993300120099818, + "learning_rate": 0.0002976499085487862, + "loss": 2.2386, + "step": 1404 + }, + { + "epoch": 0.64, + "grad_norm": 0.1999741007162706, + "learning_rate": 0.00029697097656394963, + "loss": 2.1155, + "step": 1405 + }, + { + "epoch": 0.64, + "grad_norm": 0.21520654881067242, + "learning_rate": 0.00029629249253685595, + "loss": 2.2783, + "step": 1406 + }, + { + "epoch": 0.65, + "grad_norm": 0.20289509460833827, + "learning_rate": 0.00029561445796449416, + "loss": 2.2414, + "step": 1407 + }, + { + "epoch": 0.65, + "grad_norm": 0.20052060521708598, + "learning_rate": 0.0002949368743428612, + "loss": 2.2342, + "step": 1408 + }, + { + "epoch": 0.65, + "grad_norm": 0.18517905426925613, + "learning_rate": 0.0002942597431669593, + "loss": 2.1882, + "step": 1409 + }, + { + "epoch": 0.65, + "grad_norm": 0.1748698672646149, + "learning_rate": 0.0002935830659307924, + "loss": 2.1729, + "step": 1410 + }, + { + "epoch": 0.65, + "grad_norm": 0.20515858688000596, + "learning_rate": 0.0002929068441273629, + "loss": 2.2973, + "step": 1411 + }, + { + "epoch": 0.65, + "grad_norm": 0.21035373044550434, + "learning_rate": 0.0002922310792486681, + "loss": 2.2552, + "step": 1412 + }, + { + "epoch": 0.65, + "grad_norm": 0.18171867688596213, + "learning_rate": 0.00029155577278569745, + "loss": 2.164, + "step": 1413 + }, + { + "epoch": 0.65, + "grad_norm": 0.19142554860981092, + "learning_rate": 0.00029088092622842895, + "loss": 2.3058, + "step": 1414 + }, + { + "epoch": 0.65, + "grad_norm": 0.22585574415724136, + "learning_rate": 0.00029020654106582544, + "loss": 2.2967, + "step": 1415 + }, + { + "epoch": 0.65, + "grad_norm": 0.20839197388943148, + "learning_rate": 0.0002895326187858326, + "loss": 2.1379, + "step": 1416 + }, + { + "epoch": 0.65, + "grad_norm": 0.18963445812626922, + "learning_rate": 0.00028885916087537377, + "loss": 2.2517, + "step": 1417 + }, + { + "epoch": 0.65, + "grad_norm": 0.17964683700955608, + "learning_rate": 0.00028818616882034877, + "loss": 2.1998, + "step": 1418 + }, + { + "epoch": 0.65, + "grad_norm": 0.18310176037805095, + "learning_rate": 0.0002875136441056286, + "loss": 2.1636, + "step": 1419 + }, + { + "epoch": 0.65, + "grad_norm": 0.19933472339432423, + "learning_rate": 0.000286841588215054, + "loss": 2.2215, + "step": 1420 + }, + { + "epoch": 0.65, + "grad_norm": 0.18944002179010844, + "learning_rate": 0.0002861700026314308, + "loss": 2.2052, + "step": 1421 + }, + { + "epoch": 0.65, + "grad_norm": 0.20397469954379419, + "learning_rate": 0.00028549888883652686, + "loss": 2.3307, + "step": 1422 + }, + { + "epoch": 0.65, + "grad_norm": 0.19102753565566183, + "learning_rate": 0.00028482824831107, + "loss": 2.2958, + "step": 1423 + }, + { + "epoch": 0.65, + "grad_norm": 0.19255815578118618, + "learning_rate": 0.000284158082534743, + "loss": 2.1523, + "step": 1424 + }, + { + "epoch": 0.65, + "grad_norm": 0.20179182221086048, + "learning_rate": 0.00028348839298618177, + "loss": 2.247, + "step": 1425 + }, + { + "epoch": 0.65, + "grad_norm": 0.19373487368374542, + "learning_rate": 0.0002828191811429709, + "loss": 2.2765, + "step": 1426 + }, + { + "epoch": 0.65, + "grad_norm": 0.1895313183213899, + "learning_rate": 0.00028215044848164164, + "loss": 2.1476, + "step": 1427 + }, + { + "epoch": 0.65, + "grad_norm": 0.18845367250090436, + "learning_rate": 0.00028148219647766747, + "loss": 2.2103, + "step": 1428 + }, + { + "epoch": 0.66, + "grad_norm": 0.1914251447677708, + "learning_rate": 0.00028081442660546124, + "loss": 2.2424, + "step": 1429 + }, + { + "epoch": 0.66, + "grad_norm": 0.1758667348251855, + "learning_rate": 0.0002801471403383728, + "loss": 2.1285, + "step": 1430 + }, + { + "epoch": 0.66, + "grad_norm": 0.18453065999171286, + "learning_rate": 0.00027948033914868415, + "loss": 2.238, + "step": 1431 + }, + { + "epoch": 0.66, + "grad_norm": 0.19511681773065126, + "learning_rate": 0.00027881402450760775, + "loss": 2.1317, + "step": 1432 + }, + { + "epoch": 0.66, + "grad_norm": 0.17179269480164785, + "learning_rate": 0.00027814819788528165, + "loss": 2.1735, + "step": 1433 + }, + { + "epoch": 0.66, + "grad_norm": 0.21864748351254626, + "learning_rate": 0.00027748286075076836, + "loss": 2.2219, + "step": 1434 + }, + { + "epoch": 0.66, + "grad_norm": 0.18213288357270352, + "learning_rate": 0.00027681801457204937, + "loss": 2.178, + "step": 1435 + }, + { + "epoch": 0.66, + "grad_norm": 0.1892362563238357, + "learning_rate": 0.00027615366081602306, + "loss": 2.2616, + "step": 1436 + }, + { + "epoch": 0.66, + "grad_norm": 0.2315352583424298, + "learning_rate": 0.0002754898009485021, + "loss": 2.2967, + "step": 1437 + }, + { + "epoch": 0.66, + "grad_norm": 0.20177778596450854, + "learning_rate": 0.0002748264364342085, + "loss": 2.1796, + "step": 1438 + }, + { + "epoch": 0.66, + "grad_norm": 0.22340149496506595, + "learning_rate": 0.00027416356873677204, + "loss": 2.2529, + "step": 1439 + }, + { + "epoch": 0.66, + "grad_norm": 0.2078209518914614, + "learning_rate": 0.0002735011993187258, + "loss": 2.2154, + "step": 1440 + }, + { + "epoch": 0.66, + "grad_norm": 0.20002581821327756, + "learning_rate": 0.0002728393296415042, + "loss": 2.2803, + "step": 1441 + }, + { + "epoch": 0.66, + "grad_norm": 0.2046058389672194, + "learning_rate": 0.00027217796116543817, + "loss": 2.2288, + "step": 1442 + }, + { + "epoch": 0.66, + "grad_norm": 0.19135021347450232, + "learning_rate": 0.0002715170953497532, + "loss": 2.2098, + "step": 1443 + }, + { + "epoch": 0.66, + "grad_norm": 0.17985280756765962, + "learning_rate": 0.00027085673365256614, + "loss": 2.2436, + "step": 1444 + }, + { + "epoch": 0.66, + "grad_norm": 0.2083308502417597, + "learning_rate": 0.00027019687753088075, + "loss": 2.1847, + "step": 1445 + }, + { + "epoch": 0.66, + "grad_norm": 0.2061242343323679, + "learning_rate": 0.00026953752844058597, + "loss": 2.2943, + "step": 1446 + }, + { + "epoch": 0.66, + "grad_norm": 0.19412827683592032, + "learning_rate": 0.0002688786878364516, + "loss": 2.2281, + "step": 1447 + }, + { + "epoch": 0.66, + "grad_norm": 0.18666790069883518, + "learning_rate": 0.00026822035717212597, + "loss": 2.2776, + "step": 1448 + }, + { + "epoch": 0.66, + "grad_norm": 0.20049123909505298, + "learning_rate": 0.00026756253790013193, + "loss": 2.2565, + "step": 1449 + }, + { + "epoch": 0.66, + "grad_norm": 0.17328967327141262, + "learning_rate": 0.0002669052314718641, + "loss": 2.2974, + "step": 1450 + }, + { + "epoch": 0.67, + "grad_norm": 0.1784440959640575, + "learning_rate": 0.0002662484393375855, + "loss": 2.2682, + "step": 1451 + }, + { + "epoch": 0.67, + "grad_norm": 0.18739598589064754, + "learning_rate": 0.00026559216294642446, + "loss": 2.2617, + "step": 1452 + }, + { + "epoch": 0.67, + "grad_norm": 0.17769180545133384, + "learning_rate": 0.0002649364037463718, + "loss": 2.2972, + "step": 1453 + }, + { + "epoch": 0.67, + "grad_norm": 0.18685724740454043, + "learning_rate": 0.0002642811631842764, + "loss": 2.2233, + "step": 1454 + }, + { + "epoch": 0.67, + "grad_norm": 0.20997638800080842, + "learning_rate": 0.0002636264427058439, + "loss": 2.1861, + "step": 1455 + }, + { + "epoch": 0.67, + "grad_norm": 0.18851332189013073, + "learning_rate": 0.00026297224375563123, + "loss": 2.3069, + "step": 1456 + }, + { + "epoch": 0.67, + "grad_norm": 0.21763711466799426, + "learning_rate": 0.00026231856777704575, + "loss": 2.1716, + "step": 1457 + }, + { + "epoch": 0.67, + "grad_norm": 0.33604905222996384, + "learning_rate": 0.00026166541621234026, + "loss": 2.2342, + "step": 1458 + }, + { + "epoch": 0.67, + "grad_norm": 0.26924801805362825, + "learning_rate": 0.00026101279050261045, + "loss": 2.2035, + "step": 1459 + }, + { + "epoch": 0.67, + "grad_norm": 0.2128950809075568, + "learning_rate": 0.00026036069208779247, + "loss": 2.2379, + "step": 1460 + }, + { + "epoch": 0.67, + "grad_norm": 0.3201951134786103, + "learning_rate": 0.0002597091224066581, + "loss": 2.2109, + "step": 1461 + }, + { + "epoch": 0.67, + "grad_norm": 0.2314934489626402, + "learning_rate": 0.00025905808289681365, + "loss": 2.1433, + "step": 1462 + }, + { + "epoch": 0.67, + "grad_norm": 0.22030784569205167, + "learning_rate": 0.0002584075749946946, + "loss": 2.2151, + "step": 1463 + }, + { + "epoch": 0.67, + "grad_norm": 0.18558642645304532, + "learning_rate": 0.00025775760013556424, + "loss": 2.2211, + "step": 1464 + }, + { + "epoch": 0.67, + "grad_norm": 0.1942349599815909, + "learning_rate": 0.0002571081597535095, + "loss": 2.2139, + "step": 1465 + }, + { + "epoch": 0.67, + "grad_norm": 0.304175682701553, + "learning_rate": 0.00025645925528143776, + "loss": 2.2207, + "step": 1466 + }, + { + "epoch": 0.67, + "grad_norm": 0.26056394424861723, + "learning_rate": 0.0002558108881510747, + "loss": 2.1943, + "step": 1467 + }, + { + "epoch": 0.67, + "grad_norm": 0.19850786391687902, + "learning_rate": 0.00025516305979295963, + "loss": 2.2624, + "step": 1468 + }, + { + "epoch": 0.67, + "grad_norm": 0.2503943561817623, + "learning_rate": 0.0002545157716364439, + "loss": 2.2216, + "step": 1469 + }, + { + "epoch": 0.67, + "grad_norm": 0.24051158136163897, + "learning_rate": 0.00025386902510968624, + "loss": 2.2161, + "step": 1470 + }, + { + "epoch": 0.67, + "grad_norm": 0.29955666371913825, + "learning_rate": 0.00025322282163965095, + "loss": 2.2801, + "step": 1471 + }, + { + "epoch": 0.67, + "grad_norm": 0.1766186329171908, + "learning_rate": 0.00025257716265210384, + "loss": 2.1943, + "step": 1472 + }, + { + "epoch": 0.68, + "grad_norm": 0.20273439610205923, + "learning_rate": 0.0002519320495716091, + "loss": 2.3143, + "step": 1473 + }, + { + "epoch": 0.68, + "grad_norm": 0.19405165341480968, + "learning_rate": 0.00025128748382152716, + "loss": 2.1951, + "step": 1474 + }, + { + "epoch": 0.68, + "grad_norm": 0.2711970556161782, + "learning_rate": 0.00025064346682401016, + "loss": 2.261, + "step": 1475 + }, + { + "epoch": 0.68, + "grad_norm": 0.3395786486518534, + "learning_rate": 0.0002500000000000001, + "loss": 2.1434, + "step": 1476 + }, + { + "epoch": 0.68, + "grad_norm": 0.18208708161603418, + "learning_rate": 0.0002493570847692246, + "loss": 2.2851, + "step": 1477 + }, + { + "epoch": 0.68, + "grad_norm": 0.22639657759011805, + "learning_rate": 0.00024871472255019424, + "loss": 2.2174, + "step": 1478 + }, + { + "epoch": 0.68, + "grad_norm": 0.27989288403569, + "learning_rate": 0.00024807291476019994, + "loss": 2.259, + "step": 1479 + }, + { + "epoch": 0.68, + "grad_norm": 0.24917959388693353, + "learning_rate": 0.00024743166281530877, + "loss": 2.1206, + "step": 1480 + }, + { + "epoch": 0.68, + "grad_norm": 0.19333691959358187, + "learning_rate": 0.000246790968130362, + "loss": 2.1526, + "step": 1481 + }, + { + "epoch": 0.68, + "grad_norm": 0.22376378951731024, + "learning_rate": 0.0002461508321189706, + "loss": 2.1425, + "step": 1482 + }, + { + "epoch": 0.68, + "grad_norm": 0.20320233380512162, + "learning_rate": 0.00024551125619351385, + "loss": 2.2239, + "step": 1483 + }, + { + "epoch": 0.68, + "grad_norm": 0.3624227986507542, + "learning_rate": 0.00024487224176513453, + "loss": 2.2069, + "step": 1484 + }, + { + "epoch": 0.68, + "grad_norm": 0.23020888990948654, + "learning_rate": 0.0002442337902437365, + "loss": 2.1234, + "step": 1485 + }, + { + "epoch": 0.68, + "grad_norm": 0.2120820611283303, + "learning_rate": 0.0002435959030379824, + "loss": 2.3385, + "step": 1486 + }, + { + "epoch": 0.68, + "grad_norm": 0.18619653761939353, + "learning_rate": 0.00024295858155528888, + "loss": 2.2005, + "step": 1487 + }, + { + "epoch": 0.68, + "grad_norm": 0.25916498473478644, + "learning_rate": 0.00024232182720182523, + "loss": 2.2734, + "step": 1488 + }, + { + "epoch": 0.68, + "grad_norm": 0.24031492633414528, + "learning_rate": 0.00024168564138250855, + "loss": 2.2926, + "step": 1489 + }, + { + "epoch": 0.68, + "grad_norm": 0.18899670681697164, + "learning_rate": 0.00024105002550100246, + "loss": 2.1873, + "step": 1490 + }, + { + "epoch": 0.68, + "grad_norm": 0.18926732100237362, + "learning_rate": 0.00024041498095971254, + "loss": 2.2124, + "step": 1491 + }, + { + "epoch": 0.68, + "grad_norm": 0.18302231516414166, + "learning_rate": 0.0002397805091597835, + "loss": 2.193, + "step": 1492 + }, + { + "epoch": 0.68, + "grad_norm": 0.1877635024827204, + "learning_rate": 0.0002391466115010973, + "loss": 2.3009, + "step": 1493 + }, + { + "epoch": 0.69, + "grad_norm": 0.22776005416556602, + "learning_rate": 0.00023851328938226808, + "loss": 2.1645, + "step": 1494 + }, + { + "epoch": 0.69, + "grad_norm": 0.18093223572753056, + "learning_rate": 0.00023788054420064109, + "loss": 2.2668, + "step": 1495 + }, + { + "epoch": 0.69, + "grad_norm": 0.20672138956261293, + "learning_rate": 0.00023724837735228773, + "loss": 2.2672, + "step": 1496 + }, + { + "epoch": 0.69, + "grad_norm": 0.19688890269915277, + "learning_rate": 0.00023661679023200422, + "loss": 2.1192, + "step": 1497 + }, + { + "epoch": 0.69, + "grad_norm": 0.2112176393348204, + "learning_rate": 0.00023598578423330714, + "loss": 2.1721, + "step": 1498 + }, + { + "epoch": 0.69, + "grad_norm": 0.2049004971652839, + "learning_rate": 0.00023535536074843083, + "loss": 2.2084, + "step": 1499 + }, + { + "epoch": 0.69, + "grad_norm": 0.20996757462415702, + "learning_rate": 0.00023472552116832502, + "loss": 2.2519, + "step": 1500 + }, + { + "epoch": 0.69, + "grad_norm": 0.24012963549409447, + "learning_rate": 0.0002340962668826503, + "loss": 2.1776, + "step": 1501 + }, + { + "epoch": 0.69, + "grad_norm": 0.23219992976677206, + "learning_rate": 0.00023346759927977663, + "loss": 2.2641, + "step": 1502 + }, + { + "epoch": 0.69, + "grad_norm": 0.19027393249576735, + "learning_rate": 0.0002328395197467789, + "loss": 2.2316, + "step": 1503 + }, + { + "epoch": 0.69, + "grad_norm": 0.18114565370265182, + "learning_rate": 0.00023221202966943515, + "loss": 2.1765, + "step": 1504 + }, + { + "epoch": 0.69, + "grad_norm": 0.1963232943881231, + "learning_rate": 0.0002315851304322223, + "loss": 2.3062, + "step": 1505 + }, + { + "epoch": 0.69, + "grad_norm": 0.18620842633782264, + "learning_rate": 0.0002309588234183137, + "loss": 2.2425, + "step": 1506 + }, + { + "epoch": 0.69, + "grad_norm": 0.1814893136825068, + "learning_rate": 0.00023033311000957653, + "loss": 2.1954, + "step": 1507 + }, + { + "epoch": 0.69, + "grad_norm": 0.19736821813135216, + "learning_rate": 0.00022970799158656758, + "loss": 2.1966, + "step": 1508 + }, + { + "epoch": 0.69, + "grad_norm": 0.1961562580393141, + "learning_rate": 0.0002290834695285316, + "loss": 2.2678, + "step": 1509 + }, + { + "epoch": 0.69, + "grad_norm": 0.18527695410564257, + "learning_rate": 0.00022845954521339678, + "loss": 2.1979, + "step": 1510 + }, + { + "epoch": 0.69, + "grad_norm": 0.21667467879384777, + "learning_rate": 0.0002278362200177732, + "loss": 2.2624, + "step": 1511 + }, + { + "epoch": 0.69, + "grad_norm": 0.21346141189985268, + "learning_rate": 0.00022721349531694852, + "loss": 2.2377, + "step": 1512 + }, + { + "epoch": 0.69, + "grad_norm": 0.19281292972224368, + "learning_rate": 0.0002265913724848855, + "loss": 2.2496, + "step": 1513 + }, + { + "epoch": 0.69, + "grad_norm": 0.1803697689486273, + "learning_rate": 0.00022596985289421946, + "loss": 2.1063, + "step": 1514 + }, + { + "epoch": 0.69, + "grad_norm": 0.1825434056396797, + "learning_rate": 0.00022534893791625405, + "loss": 2.152, + "step": 1515 + }, + { + "epoch": 0.7, + "grad_norm": 0.2600537184465599, + "learning_rate": 0.00022472862892095968, + "loss": 2.3034, + "step": 1516 + }, + { + "epoch": 0.7, + "grad_norm": 0.19650118922496396, + "learning_rate": 0.00022410892727696896, + "loss": 2.2242, + "step": 1517 + }, + { + "epoch": 0.7, + "grad_norm": 0.2069140068687479, + "learning_rate": 0.0002234898343515751, + "loss": 2.2107, + "step": 1518 + }, + { + "epoch": 0.7, + "grad_norm": 0.20020060944353182, + "learning_rate": 0.00022287135151072792, + "loss": 2.1635, + "step": 1519 + }, + { + "epoch": 0.7, + "grad_norm": 0.21591449089316175, + "learning_rate": 0.00022225348011903096, + "loss": 2.2733, + "step": 1520 + }, + { + "epoch": 0.7, + "grad_norm": 0.1972273480033043, + "learning_rate": 0.0002216362215397393, + "loss": 2.2402, + "step": 1521 + }, + { + "epoch": 0.7, + "grad_norm": 0.1851253877143652, + "learning_rate": 0.00022101957713475522, + "loss": 2.1626, + "step": 1522 + }, + { + "epoch": 0.7, + "grad_norm": 0.19786856956763427, + "learning_rate": 0.00022040354826462666, + "loss": 2.1804, + "step": 1523 + }, + { + "epoch": 0.7, + "grad_norm": 0.1828524978322351, + "learning_rate": 0.0002197881362885426, + "loss": 2.2766, + "step": 1524 + }, + { + "epoch": 0.7, + "grad_norm": 0.2141707036014695, + "learning_rate": 0.0002191733425643318, + "loss": 2.1837, + "step": 1525 + }, + { + "epoch": 0.7, + "grad_norm": 0.2168531970815879, + "learning_rate": 0.00021855916844845826, + "loss": 2.2433, + "step": 1526 + }, + { + "epoch": 0.7, + "grad_norm": 0.20233740037321105, + "learning_rate": 0.00021794561529601898, + "loss": 2.098, + "step": 1527 + }, + { + "epoch": 0.7, + "grad_norm": 0.1822423276508221, + "learning_rate": 0.00021733268446074138, + "loss": 2.1459, + "step": 1528 + }, + { + "epoch": 0.7, + "grad_norm": 0.20588598327158075, + "learning_rate": 0.00021672037729497917, + "loss": 2.2571, + "step": 1529 + }, + { + "epoch": 0.7, + "grad_norm": 0.20405876785711166, + "learning_rate": 0.0002161086951497106, + "loss": 2.2175, + "step": 1530 + }, + { + "epoch": 0.7, + "grad_norm": 0.20425237961336562, + "learning_rate": 0.00021549763937453442, + "loss": 2.1977, + "step": 1531 + }, + { + "epoch": 0.7, + "grad_norm": 0.18484668034465665, + "learning_rate": 0.00021488721131766736, + "loss": 2.3079, + "step": 1532 + }, + { + "epoch": 0.7, + "grad_norm": 0.18195405135316484, + "learning_rate": 0.00021427741232594183, + "loss": 2.2581, + "step": 1533 + }, + { + "epoch": 0.7, + "grad_norm": 0.19934623738919066, + "learning_rate": 0.0002136682437448013, + "loss": 2.3151, + "step": 1534 + }, + { + "epoch": 0.7, + "grad_norm": 0.1761090674293767, + "learning_rate": 0.0002130597069182994, + "loss": 2.2707, + "step": 1535 + }, + { + "epoch": 0.7, + "grad_norm": 0.18966203461235204, + "learning_rate": 0.0002124518031890948, + "loss": 2.1894, + "step": 1536 + }, + { + "epoch": 0.7, + "grad_norm": 0.17705196092563874, + "learning_rate": 0.0002118445338984502, + "loss": 2.0647, + "step": 1537 + }, + { + "epoch": 0.71, + "grad_norm": 0.19188595382024975, + "learning_rate": 0.00021123790038622808, + "loss": 2.1992, + "step": 1538 + }, + { + "epoch": 0.71, + "grad_norm": 0.1946295819693327, + "learning_rate": 0.0002106319039908879, + "loss": 2.2271, + "step": 1539 + }, + { + "epoch": 0.71, + "grad_norm": 0.18664364365603164, + "learning_rate": 0.00021002654604948412, + "loss": 2.1954, + "step": 1540 + }, + { + "epoch": 0.71, + "grad_norm": 0.19524868971213807, + "learning_rate": 0.00020942182789766172, + "loss": 2.2256, + "step": 1541 + }, + { + "epoch": 0.71, + "grad_norm": 0.214082147660546, + "learning_rate": 0.00020881775086965492, + "loss": 2.2055, + "step": 1542 + }, + { + "epoch": 0.71, + "grad_norm": 0.21404205150775732, + "learning_rate": 0.00020821431629828246, + "loss": 2.2571, + "step": 1543 + }, + { + "epoch": 0.71, + "grad_norm": 0.18260312053171399, + "learning_rate": 0.00020761152551494643, + "loss": 2.2115, + "step": 1544 + }, + { + "epoch": 0.71, + "grad_norm": 0.20599866488769605, + "learning_rate": 0.00020700937984962798, + "loss": 2.2872, + "step": 1545 + }, + { + "epoch": 0.71, + "grad_norm": 0.18836850248849757, + "learning_rate": 0.0002064078806308848, + "loss": 2.1471, + "step": 1546 + }, + { + "epoch": 0.71, + "grad_norm": 0.22931003477469553, + "learning_rate": 0.00020580702918584882, + "loss": 2.2113, + "step": 1547 + }, + { + "epoch": 0.71, + "grad_norm": 0.2667415549362884, + "learning_rate": 0.000205206826840222, + "loss": 2.26, + "step": 1548 + }, + { + "epoch": 0.71, + "grad_norm": 0.2459939185179412, + "learning_rate": 0.0002046072749182751, + "loss": 2.2062, + "step": 1549 + }, + { + "epoch": 0.71, + "grad_norm": 0.1928491364931795, + "learning_rate": 0.00020400837474284273, + "loss": 2.2544, + "step": 1550 + }, + { + "epoch": 0.71, + "grad_norm": 0.1956199814566195, + "learning_rate": 0.0002034101276353224, + "loss": 2.3059, + "step": 1551 + }, + { + "epoch": 0.71, + "grad_norm": 0.19420135338028036, + "learning_rate": 0.00020281253491567027, + "loss": 2.2213, + "step": 1552 + }, + { + "epoch": 0.71, + "grad_norm": 0.17915577332501773, + "learning_rate": 0.0002022155979023984, + "loss": 2.1965, + "step": 1553 + }, + { + "epoch": 0.71, + "grad_norm": 0.20189144657011465, + "learning_rate": 0.000201619317912573, + "loss": 2.2754, + "step": 1554 + }, + { + "epoch": 0.71, + "grad_norm": 0.19249308224512263, + "learning_rate": 0.00020102369626180962, + "loss": 2.2355, + "step": 1555 + }, + { + "epoch": 0.71, + "grad_norm": 0.1956005781510566, + "learning_rate": 0.0002004287342642721, + "loss": 2.1826, + "step": 1556 + }, + { + "epoch": 0.71, + "grad_norm": 0.19535225604423562, + "learning_rate": 0.00019983443323266824, + "loss": 2.2161, + "step": 1557 + }, + { + "epoch": 0.71, + "grad_norm": 0.18821594441648345, + "learning_rate": 0.00019924079447824805, + "loss": 2.2628, + "step": 1558 + }, + { + "epoch": 0.71, + "grad_norm": 0.18541912165572785, + "learning_rate": 0.00019864781931079977, + "loss": 2.1582, + "step": 1559 + }, + { + "epoch": 0.72, + "grad_norm": 0.19739640589124663, + "learning_rate": 0.00019805550903864773, + "loss": 2.2898, + "step": 1560 + }, + { + "epoch": 0.72, + "grad_norm": 0.17805589213959752, + "learning_rate": 0.00019746386496864948, + "loss": 2.1451, + "step": 1561 + }, + { + "epoch": 0.72, + "grad_norm": 0.19098289775592805, + "learning_rate": 0.00019687288840619226, + "loss": 2.1777, + "step": 1562 + }, + { + "epoch": 0.72, + "grad_norm": 0.2099962397444676, + "learning_rate": 0.0001962825806551911, + "loss": 2.2387, + "step": 1563 + }, + { + "epoch": 0.72, + "grad_norm": 0.21564978665286988, + "learning_rate": 0.0001956929430180846, + "loss": 2.2113, + "step": 1564 + }, + { + "epoch": 0.72, + "grad_norm": 0.21208826286476679, + "learning_rate": 0.00019510397679583374, + "loss": 2.2778, + "step": 1565 + }, + { + "epoch": 0.72, + "grad_norm": 0.23282160200171023, + "learning_rate": 0.0001945156832879174, + "loss": 2.2405, + "step": 1566 + }, + { + "epoch": 0.72, + "grad_norm": 0.18909088214296713, + "learning_rate": 0.00019392806379233036, + "loss": 2.1233, + "step": 1567 + }, + { + "epoch": 0.72, + "grad_norm": 0.18878499736645987, + "learning_rate": 0.00019334111960558065, + "loss": 2.2506, + "step": 1568 + }, + { + "epoch": 0.72, + "grad_norm": 0.2234964171369105, + "learning_rate": 0.00019275485202268573, + "loss": 2.2678, + "step": 1569 + }, + { + "epoch": 0.72, + "grad_norm": 0.20470776775386346, + "learning_rate": 0.00019216926233717085, + "loss": 2.1672, + "step": 1570 + }, + { + "epoch": 0.72, + "grad_norm": 0.22275309748918465, + "learning_rate": 0.00019158435184106498, + "loss": 2.259, + "step": 1571 + }, + { + "epoch": 0.72, + "grad_norm": 0.27014707622836, + "learning_rate": 0.00019100012182489905, + "loss": 2.2463, + "step": 1572 + }, + { + "epoch": 0.72, + "grad_norm": 0.21767159587327195, + "learning_rate": 0.00019041657357770226, + "loss": 2.2115, + "step": 1573 + }, + { + "epoch": 0.72, + "grad_norm": 0.20202068925949876, + "learning_rate": 0.00018983370838699943, + "loss": 2.211, + "step": 1574 + }, + { + "epoch": 0.72, + "grad_norm": 0.20342210861943552, + "learning_rate": 0.00018925152753880892, + "loss": 2.2409, + "step": 1575 + }, + { + "epoch": 0.72, + "grad_norm": 0.1821893125466419, + "learning_rate": 0.00018867003231763847, + "loss": 2.3182, + "step": 1576 + }, + { + "epoch": 0.72, + "grad_norm": 0.20932059582293366, + "learning_rate": 0.00018808922400648375, + "loss": 2.3418, + "step": 1577 + }, + { + "epoch": 0.72, + "grad_norm": 0.20712601550413887, + "learning_rate": 0.00018750910388682428, + "loss": 2.2584, + "step": 1578 + }, + { + "epoch": 0.72, + "grad_norm": 0.19180017770030586, + "learning_rate": 0.00018692967323862125, + "loss": 2.185, + "step": 1579 + }, + { + "epoch": 0.72, + "grad_norm": 0.18183780880952385, + "learning_rate": 0.00018635093334031517, + "loss": 2.2351, + "step": 1580 + }, + { + "epoch": 0.72, + "grad_norm": 0.20306791528719403, + "learning_rate": 0.00018577288546882165, + "loss": 2.2009, + "step": 1581 + }, + { + "epoch": 0.73, + "grad_norm": 0.1867125106669833, + "learning_rate": 0.00018519553089953023, + "loss": 2.2079, + "step": 1582 + }, + { + "epoch": 0.73, + "grad_norm": 0.24180331343026557, + "learning_rate": 0.0001846188709063001, + "loss": 2.1587, + "step": 1583 + }, + { + "epoch": 0.73, + "grad_norm": 0.19897304441323937, + "learning_rate": 0.00018404290676145857, + "loss": 2.2069, + "step": 1584 + }, + { + "epoch": 0.73, + "grad_norm": 0.18028708175954042, + "learning_rate": 0.00018346763973579722, + "loss": 2.1999, + "step": 1585 + }, + { + "epoch": 0.73, + "grad_norm": 0.1788102325546695, + "learning_rate": 0.00018289307109856939, + "loss": 2.3119, + "step": 1586 + }, + { + "epoch": 0.73, + "grad_norm": 0.25970919726063385, + "learning_rate": 0.0001823192021174882, + "loss": 2.1805, + "step": 1587 + }, + { + "epoch": 0.73, + "grad_norm": 0.3230291821157351, + "learning_rate": 0.0001817460340587223, + "loss": 2.2451, + "step": 1588 + }, + { + "epoch": 0.73, + "grad_norm": 0.22237760149571476, + "learning_rate": 0.00018117356818689445, + "loss": 2.2716, + "step": 1589 + }, + { + "epoch": 0.73, + "grad_norm": 0.19861589483443368, + "learning_rate": 0.00018060180576507756, + "loss": 2.2241, + "step": 1590 + }, + { + "epoch": 0.73, + "grad_norm": 0.2027138907481531, + "learning_rate": 0.00018003074805479313, + "loss": 2.1104, + "step": 1591 + }, + { + "epoch": 0.73, + "grad_norm": 0.18223812240588746, + "learning_rate": 0.00017946039631600724, + "loss": 2.229, + "step": 1592 + }, + { + "epoch": 0.73, + "grad_norm": 0.19096538687424766, + "learning_rate": 0.00017889075180712837, + "loss": 2.2384, + "step": 1593 + }, + { + "epoch": 0.73, + "grad_norm": 0.24099476424481772, + "learning_rate": 0.00017832181578500512, + "loss": 2.1888, + "step": 1594 + }, + { + "epoch": 0.73, + "grad_norm": 0.19173945259739875, + "learning_rate": 0.0001777535895049221, + "loss": 2.1742, + "step": 1595 + }, + { + "epoch": 0.73, + "grad_norm": 0.2144360021734371, + "learning_rate": 0.0001771860742205988, + "loss": 2.2156, + "step": 1596 + }, + { + "epoch": 0.73, + "grad_norm": 0.19787805521022947, + "learning_rate": 0.00017661927118418525, + "loss": 2.27, + "step": 1597 + }, + { + "epoch": 0.73, + "grad_norm": 0.19645527472942198, + "learning_rate": 0.00017605318164626066, + "loss": 2.2824, + "step": 1598 + }, + { + "epoch": 0.73, + "grad_norm": 0.1933763195917297, + "learning_rate": 0.00017548780685582949, + "loss": 2.2063, + "step": 1599 + }, + { + "epoch": 0.73, + "grad_norm": 0.20359093024569735, + "learning_rate": 0.00017492314806031922, + "loss": 2.3112, + "step": 1600 + }, + { + "epoch": 0.73, + "grad_norm": 0.2448882109095324, + "learning_rate": 0.00017435920650557806, + "loss": 2.2054, + "step": 1601 + }, + { + "epoch": 0.73, + "grad_norm": 0.23499228007922196, + "learning_rate": 0.00017379598343587112, + "loss": 2.1748, + "step": 1602 + }, + { + "epoch": 0.73, + "grad_norm": 0.1866572012738809, + "learning_rate": 0.00017323348009387878, + "loss": 2.1825, + "step": 1603 + }, + { + "epoch": 0.74, + "grad_norm": 0.19465957865531244, + "learning_rate": 0.0001726716977206929, + "loss": 2.1952, + "step": 1604 + }, + { + "epoch": 0.74, + "grad_norm": 0.20300670254647896, + "learning_rate": 0.00017211063755581525, + "loss": 2.187, + "step": 1605 + }, + { + "epoch": 0.74, + "grad_norm": 0.22383187660444911, + "learning_rate": 0.0001715503008371536, + "loss": 2.2442, + "step": 1606 + }, + { + "epoch": 0.74, + "grad_norm": 0.22880211581630674, + "learning_rate": 0.0001709906888010196, + "loss": 2.1344, + "step": 1607 + }, + { + "epoch": 0.74, + "grad_norm": 0.19066504318640934, + "learning_rate": 0.00017043180268212638, + "loss": 2.2903, + "step": 1608 + }, + { + "epoch": 0.74, + "grad_norm": 0.180144463851334, + "learning_rate": 0.00016987364371358481, + "loss": 2.1999, + "step": 1609 + }, + { + "epoch": 0.74, + "grad_norm": 0.19929896838028124, + "learning_rate": 0.00016931621312690214, + "loss": 2.1486, + "step": 1610 + }, + { + "epoch": 0.74, + "grad_norm": 0.21491407979435423, + "learning_rate": 0.00016875951215197777, + "loss": 2.2174, + "step": 1611 + }, + { + "epoch": 0.74, + "grad_norm": 0.19428066108897044, + "learning_rate": 0.00016820354201710214, + "loss": 2.2611, + "step": 1612 + }, + { + "epoch": 0.74, + "grad_norm": 0.17798574500816167, + "learning_rate": 0.00016764830394895203, + "loss": 2.0659, + "step": 1613 + }, + { + "epoch": 0.74, + "grad_norm": 0.21506942949471067, + "learning_rate": 0.00016709379917259027, + "loss": 2.1912, + "step": 1614 + }, + { + "epoch": 0.74, + "grad_norm": 0.2207737704747922, + "learning_rate": 0.00016654002891146091, + "loss": 2.2741, + "step": 1615 + }, + { + "epoch": 0.74, + "grad_norm": 0.1953707785874773, + "learning_rate": 0.00016598699438738764, + "loss": 2.2494, + "step": 1616 + }, + { + "epoch": 0.74, + "grad_norm": 0.17814475841864036, + "learning_rate": 0.00016543469682057105, + "loss": 2.3114, + "step": 1617 + }, + { + "epoch": 0.74, + "grad_norm": 0.18975162989295133, + "learning_rate": 0.00016488313742958526, + "loss": 2.2936, + "step": 1618 + }, + { + "epoch": 0.74, + "grad_norm": 0.21606112399882343, + "learning_rate": 0.00016433231743137646, + "loss": 2.1237, + "step": 1619 + }, + { + "epoch": 0.74, + "grad_norm": 0.1964138622007884, + "learning_rate": 0.0001637822380412584, + "loss": 2.2238, + "step": 1620 + }, + { + "epoch": 0.74, + "grad_norm": 0.1768568605076697, + "learning_rate": 0.00016323290047291195, + "loss": 2.1795, + "step": 1621 + }, + { + "epoch": 0.74, + "grad_norm": 0.17697122000960472, + "learning_rate": 0.0001626843059383803, + "loss": 2.2457, + "step": 1622 + }, + { + "epoch": 0.74, + "grad_norm": 0.20133139460135735, + "learning_rate": 0.00016213645564806752, + "loss": 2.2088, + "step": 1623 + }, + { + "epoch": 0.74, + "grad_norm": 0.22371244223071798, + "learning_rate": 0.0001615893508107359, + "loss": 2.1771, + "step": 1624 + }, + { + "epoch": 0.75, + "grad_norm": 0.21846873722225582, + "learning_rate": 0.00016104299263350252, + "loss": 2.2472, + "step": 1625 + }, + { + "epoch": 0.75, + "grad_norm": 0.193463227000711, + "learning_rate": 0.00016049738232183758, + "loss": 2.1808, + "step": 1626 + }, + { + "epoch": 0.75, + "grad_norm": 0.2107648637239321, + "learning_rate": 0.0001599525210795606, + "loss": 2.2614, + "step": 1627 + }, + { + "epoch": 0.75, + "grad_norm": 0.18837238583996224, + "learning_rate": 0.00015940841010883889, + "loss": 2.1317, + "step": 1628 + }, + { + "epoch": 0.75, + "grad_norm": 0.18255780164595026, + "learning_rate": 0.00015886505061018413, + "loss": 2.1659, + "step": 1629 + }, + { + "epoch": 0.75, + "grad_norm": 0.19917463614874878, + "learning_rate": 0.0001583224437824498, + "loss": 2.1712, + "step": 1630 + }, + { + "epoch": 0.75, + "grad_norm": 0.18999035519797716, + "learning_rate": 0.0001577805908228293, + "loss": 2.1518, + "step": 1631 + }, + { + "epoch": 0.75, + "grad_norm": 0.19678592738515135, + "learning_rate": 0.00015723949292685191, + "loss": 2.1471, + "step": 1632 + }, + { + "epoch": 0.75, + "grad_norm": 0.18147378911278336, + "learning_rate": 0.0001566991512883818, + "loss": 2.1206, + "step": 1633 + }, + { + "epoch": 0.75, + "grad_norm": 0.2793719348265906, + "learning_rate": 0.00015615956709961378, + "loss": 2.133, + "step": 1634 + }, + { + "epoch": 0.75, + "grad_norm": 0.2164462871765308, + "learning_rate": 0.00015562074155107215, + "loss": 2.163, + "step": 1635 + }, + { + "epoch": 0.75, + "grad_norm": 0.19753690648887595, + "learning_rate": 0.0001550826758316068, + "loss": 2.2178, + "step": 1636 + }, + { + "epoch": 0.75, + "grad_norm": 0.19249246869373612, + "learning_rate": 0.00015454537112839122, + "loss": 2.1445, + "step": 1637 + }, + { + "epoch": 0.75, + "grad_norm": 0.19607124438698734, + "learning_rate": 0.00015400882862692033, + "loss": 2.1911, + "step": 1638 + }, + { + "epoch": 0.75, + "grad_norm": 0.23964537019996135, + "learning_rate": 0.00015347304951100665, + "loss": 2.2094, + "step": 1639 + }, + { + "epoch": 0.75, + "grad_norm": 0.17592119810258908, + "learning_rate": 0.00015293803496277907, + "loss": 2.2175, + "step": 1640 + }, + { + "epoch": 0.75, + "grad_norm": 0.1861908918131432, + "learning_rate": 0.00015240378616267886, + "loss": 2.1775, + "step": 1641 + }, + { + "epoch": 0.75, + "grad_norm": 0.20125455766328215, + "learning_rate": 0.00015187030428945843, + "loss": 2.1232, + "step": 1642 + }, + { + "epoch": 0.75, + "grad_norm": 0.18220011769452754, + "learning_rate": 0.0001513375905201776, + "loss": 2.2761, + "step": 1643 + }, + { + "epoch": 0.75, + "grad_norm": 0.20401137958201015, + "learning_rate": 0.00015080564603020142, + "loss": 2.2621, + "step": 1644 + }, + { + "epoch": 0.75, + "grad_norm": 0.20725862344826565, + "learning_rate": 0.0001502744719931982, + "loss": 2.2654, + "step": 1645 + }, + { + "epoch": 0.75, + "grad_norm": 0.19131166980598346, + "learning_rate": 0.00014974406958113558, + "loss": 2.1841, + "step": 1646 + }, + { + "epoch": 0.76, + "grad_norm": 0.18763084871233615, + "learning_rate": 0.00014921443996427947, + "loss": 2.1816, + "step": 1647 + }, + { + "epoch": 0.76, + "grad_norm": 0.20007590157905134, + "learning_rate": 0.0001486855843111901, + "loss": 2.2322, + "step": 1648 + }, + { + "epoch": 0.76, + "grad_norm": 0.18486852230259052, + "learning_rate": 0.0001481575037887201, + "loss": 2.244, + "step": 1649 + }, + { + "epoch": 0.76, + "grad_norm": 0.24071422489637626, + "learning_rate": 0.00014763019956201253, + "loss": 2.2352, + "step": 1650 + }, + { + "epoch": 0.76, + "grad_norm": 0.18850086248691222, + "learning_rate": 0.0001471036727944966, + "loss": 2.1758, + "step": 1651 + }, + { + "epoch": 0.76, + "grad_norm": 0.20958107722806976, + "learning_rate": 0.0001465779246478872, + "loss": 2.1242, + "step": 1652 + }, + { + "epoch": 0.76, + "grad_norm": 0.19816103135578358, + "learning_rate": 0.00014605295628218045, + "loss": 2.2191, + "step": 1653 + }, + { + "epoch": 0.76, + "grad_norm": 0.19767401454404324, + "learning_rate": 0.0001455287688556527, + "loss": 2.1659, + "step": 1654 + }, + { + "epoch": 0.76, + "grad_norm": 0.20170741661861794, + "learning_rate": 0.00014500536352485673, + "loss": 2.1583, + "step": 1655 + }, + { + "epoch": 0.76, + "grad_norm": 0.19451970892839868, + "learning_rate": 0.00014448274144461965, + "loss": 2.1531, + "step": 1656 + }, + { + "epoch": 0.76, + "grad_norm": 0.1983971592885169, + "learning_rate": 0.00014396090376804112, + "loss": 2.2808, + "step": 1657 + }, + { + "epoch": 0.76, + "grad_norm": 0.20036668100112304, + "learning_rate": 0.00014343985164648926, + "loss": 2.1621, + "step": 1658 + }, + { + "epoch": 0.76, + "grad_norm": 0.17956418346262712, + "learning_rate": 0.00014291958622959973, + "loss": 2.1108, + "step": 1659 + }, + { + "epoch": 0.76, + "grad_norm": 0.19163779240422277, + "learning_rate": 0.00014240010866527176, + "loss": 2.2189, + "step": 1660 + }, + { + "epoch": 0.76, + "grad_norm": 0.1849911819141893, + "learning_rate": 0.00014188142009966686, + "loss": 2.1158, + "step": 1661 + }, + { + "epoch": 0.76, + "grad_norm": 0.18703705509274776, + "learning_rate": 0.0001413635216772053, + "loss": 2.1498, + "step": 1662 + }, + { + "epoch": 0.76, + "grad_norm": 0.21083153137799815, + "learning_rate": 0.000140846414540564, + "loss": 2.146, + "step": 1663 + }, + { + "epoch": 0.76, + "grad_norm": 0.20404962877498423, + "learning_rate": 0.00014033009983067452, + "loss": 2.1202, + "step": 1664 + }, + { + "epoch": 0.76, + "grad_norm": 0.1882720781745955, + "learning_rate": 0.00013981457868671927, + "loss": 2.2111, + "step": 1665 + }, + { + "epoch": 0.76, + "grad_norm": 0.2288132013418471, + "learning_rate": 0.0001392998522461305, + "loss": 2.3476, + "step": 1666 + }, + { + "epoch": 0.76, + "grad_norm": 0.23193204455004215, + "learning_rate": 0.00013878592164458635, + "loss": 2.1672, + "step": 1667 + }, + { + "epoch": 0.76, + "grad_norm": 0.18286888327065542, + "learning_rate": 0.00013827278801600978, + "loss": 2.2505, + "step": 1668 + }, + { + "epoch": 0.77, + "grad_norm": 0.22110820889936017, + "learning_rate": 0.0001377604524925647, + "loss": 2.3063, + "step": 1669 + }, + { + "epoch": 0.77, + "grad_norm": 0.18268790456642167, + "learning_rate": 0.00013724891620465424, + "loss": 2.1805, + "step": 1670 + }, + { + "epoch": 0.77, + "grad_norm": 0.18300284011449935, + "learning_rate": 0.0001367381802809185, + "loss": 2.0894, + "step": 1671 + }, + { + "epoch": 0.77, + "grad_norm": 0.19340820190300712, + "learning_rate": 0.00013622824584823113, + "loss": 2.1876, + "step": 1672 + }, + { + "epoch": 0.77, + "grad_norm": 0.19451855855276823, + "learning_rate": 0.00013571911403169795, + "loss": 2.1924, + "step": 1673 + }, + { + "epoch": 0.77, + "grad_norm": 0.20061107686542368, + "learning_rate": 0.0001352107859546533, + "loss": 2.1782, + "step": 1674 + }, + { + "epoch": 0.77, + "grad_norm": 0.18293368740032123, + "learning_rate": 0.00013470326273865886, + "loss": 2.1969, + "step": 1675 + }, + { + "epoch": 0.77, + "grad_norm": 0.19105161403968232, + "learning_rate": 0.00013419654550349985, + "loss": 2.2505, + "step": 1676 + }, + { + "epoch": 0.77, + "grad_norm": 0.18329848000966667, + "learning_rate": 0.00013369063536718346, + "loss": 2.193, + "step": 1677 + }, + { + "epoch": 0.77, + "grad_norm": 0.19918211680274883, + "learning_rate": 0.00013318553344593632, + "loss": 2.1907, + "step": 1678 + }, + { + "epoch": 0.77, + "grad_norm": 0.18306875277000662, + "learning_rate": 0.00013268124085420136, + "loss": 2.2271, + "step": 1679 + }, + { + "epoch": 0.77, + "grad_norm": 0.1969061388149091, + "learning_rate": 0.0001321777587046364, + "loss": 2.2799, + "step": 1680 + }, + { + "epoch": 0.77, + "grad_norm": 0.1909693595505324, + "learning_rate": 0.00013167508810811059, + "loss": 2.2479, + "step": 1681 + }, + { + "epoch": 0.77, + "grad_norm": 0.2187907272156998, + "learning_rate": 0.0001311732301737029, + "loss": 2.231, + "step": 1682 + }, + { + "epoch": 0.77, + "grad_norm": 0.19151448184451567, + "learning_rate": 0.0001306721860086991, + "loss": 2.232, + "step": 1683 + }, + { + "epoch": 0.77, + "grad_norm": 0.24237967985760334, + "learning_rate": 0.00013017195671858928, + "loss": 2.1274, + "step": 1684 + }, + { + "epoch": 0.77, + "grad_norm": 0.22313216538361463, + "learning_rate": 0.0001296725434070661, + "loss": 2.2988, + "step": 1685 + }, + { + "epoch": 0.77, + "grad_norm": 0.1871589346127272, + "learning_rate": 0.00012917394717602121, + "loss": 2.226, + "step": 1686 + }, + { + "epoch": 0.77, + "grad_norm": 0.2031560102603832, + "learning_rate": 0.00012867616912554426, + "loss": 2.1, + "step": 1687 + }, + { + "epoch": 0.77, + "grad_norm": 0.1855331389357105, + "learning_rate": 0.00012817921035391882, + "loss": 2.2082, + "step": 1688 + }, + { + "epoch": 0.77, + "grad_norm": 0.23430526836707816, + "learning_rate": 0.00012768307195762168, + "loss": 2.2291, + "step": 1689 + }, + { + "epoch": 0.77, + "grad_norm": 0.18490800513601963, + "learning_rate": 0.00012718775503131908, + "loss": 2.1937, + "step": 1690 + }, + { + "epoch": 0.78, + "grad_norm": 0.1943216741961921, + "learning_rate": 0.0001266932606678646, + "loss": 2.2073, + "step": 1691 + }, + { + "epoch": 0.78, + "grad_norm": 0.18084687237287614, + "learning_rate": 0.00012619958995829756, + "loss": 2.2264, + "step": 1692 + }, + { + "epoch": 0.78, + "grad_norm": 0.1855015575812618, + "learning_rate": 0.0001257067439918394, + "loss": 2.15, + "step": 1693 + }, + { + "epoch": 0.78, + "grad_norm": 0.200991730166067, + "learning_rate": 0.00012521472385589234, + "loss": 2.164, + "step": 1694 + }, + { + "epoch": 0.78, + "grad_norm": 0.26668447006870294, + "learning_rate": 0.00012472353063603626, + "loss": 2.1674, + "step": 1695 + }, + { + "epoch": 0.78, + "grad_norm": 0.22909325452640183, + "learning_rate": 0.0001242331654160263, + "loss": 2.1367, + "step": 1696 + }, + { + "epoch": 0.78, + "grad_norm": 0.1833503891920896, + "learning_rate": 0.0001237436292777914, + "loss": 2.2136, + "step": 1697 + }, + { + "epoch": 0.78, + "grad_norm": 0.20651070209236647, + "learning_rate": 0.00012325492330143061, + "loss": 2.2119, + "step": 1698 + }, + { + "epoch": 0.78, + "grad_norm": 0.19682019786365978, + "learning_rate": 0.00012276704856521175, + "loss": 2.1082, + "step": 1699 + }, + { + "epoch": 0.78, + "grad_norm": 0.20335231082644095, + "learning_rate": 0.00012228000614556816, + "loss": 2.258, + "step": 1700 + }, + { + "epoch": 0.78, + "grad_norm": 0.21082622693188877, + "learning_rate": 0.00012179379711709738, + "loss": 2.2404, + "step": 1701 + }, + { + "epoch": 0.78, + "grad_norm": 0.21016183505928604, + "learning_rate": 0.0001213084225525577, + "loss": 2.2428, + "step": 1702 + }, + { + "epoch": 0.78, + "grad_norm": 0.19984774299750688, + "learning_rate": 0.00012082388352286627, + "loss": 2.3315, + "step": 1703 + }, + { + "epoch": 0.78, + "grad_norm": 0.19050267394620785, + "learning_rate": 0.00012034018109709716, + "loss": 2.2552, + "step": 1704 + }, + { + "epoch": 0.78, + "grad_norm": 0.18778525856213116, + "learning_rate": 0.00011985731634247809, + "loss": 2.1114, + "step": 1705 + }, + { + "epoch": 0.78, + "grad_norm": 0.19865405908954992, + "learning_rate": 0.00011937529032438904, + "loss": 2.1821, + "step": 1706 + }, + { + "epoch": 0.78, + "grad_norm": 0.1974929876620853, + "learning_rate": 0.00011889410410635887, + "loss": 2.1329, + "step": 1707 + }, + { + "epoch": 0.78, + "grad_norm": 0.21243387820957768, + "learning_rate": 0.0001184137587500641, + "loss": 2.1182, + "step": 1708 + }, + { + "epoch": 0.78, + "grad_norm": 0.1809294113991889, + "learning_rate": 0.00011793425531532564, + "loss": 2.1128, + "step": 1709 + }, + { + "epoch": 0.78, + "grad_norm": 0.17787120218346783, + "learning_rate": 0.00011745559486010671, + "loss": 2.2297, + "step": 1710 + }, + { + "epoch": 0.78, + "grad_norm": 0.21606891099112033, + "learning_rate": 0.00011697777844051105, + "loss": 2.2467, + "step": 1711 + }, + { + "epoch": 0.78, + "grad_norm": 0.2258865065213219, + "learning_rate": 0.00011650080711077964, + "loss": 2.1912, + "step": 1712 + }, + { + "epoch": 0.79, + "grad_norm": 0.19934098623832255, + "learning_rate": 0.00011602468192328936, + "loss": 2.296, + "step": 1713 + }, + { + "epoch": 0.79, + "grad_norm": 0.19709652821797638, + "learning_rate": 0.00011554940392854973, + "loss": 2.2448, + "step": 1714 + }, + { + "epoch": 0.79, + "grad_norm": 0.1740995585014064, + "learning_rate": 0.00011507497417520146, + "loss": 2.2519, + "step": 1715 + }, + { + "epoch": 0.79, + "grad_norm": 0.19590812595424664, + "learning_rate": 0.00011460139371001339, + "loss": 2.234, + "step": 1716 + }, + { + "epoch": 0.79, + "grad_norm": 0.1755138115956415, + "learning_rate": 0.00011412866357788049, + "loss": 2.1393, + "step": 1717 + }, + { + "epoch": 0.79, + "grad_norm": 0.17941813046667845, + "learning_rate": 0.00011365678482182207, + "loss": 2.0629, + "step": 1718 + }, + { + "epoch": 0.79, + "grad_norm": 0.19125703883185885, + "learning_rate": 0.0001131857584829783, + "loss": 2.1965, + "step": 1719 + }, + { + "epoch": 0.79, + "grad_norm": 0.21757703770553918, + "learning_rate": 0.0001127155856006093, + "loss": 2.2998, + "step": 1720 + }, + { + "epoch": 0.79, + "grad_norm": 0.23780922613017255, + "learning_rate": 0.00011224626721209141, + "loss": 2.084, + "step": 1721 + }, + { + "epoch": 0.79, + "grad_norm": 0.23940348029101957, + "learning_rate": 0.0001117778043529164, + "loss": 2.2932, + "step": 1722 + }, + { + "epoch": 0.79, + "grad_norm": 0.2727031863292812, + "learning_rate": 0.0001113101980566879, + "loss": 2.169, + "step": 1723 + }, + { + "epoch": 0.79, + "grad_norm": 0.1851528949937712, + "learning_rate": 0.00011084344935511958, + "loss": 2.1378, + "step": 1724 + }, + { + "epoch": 0.79, + "grad_norm": 0.20585820991495263, + "learning_rate": 0.00011037755927803345, + "loss": 2.2071, + "step": 1725 + }, + { + "epoch": 0.79, + "grad_norm": 0.17328164649097605, + "learning_rate": 0.00010991252885335651, + "loss": 2.2355, + "step": 1726 + }, + { + "epoch": 0.79, + "grad_norm": 0.2079753273911144, + "learning_rate": 0.00010944835910711958, + "loss": 2.1974, + "step": 1727 + }, + { + "epoch": 0.79, + "grad_norm": 0.18850172563237755, + "learning_rate": 0.00010898505106345396, + "loss": 2.2555, + "step": 1728 + }, + { + "epoch": 0.79, + "grad_norm": 0.21488912378705807, + "learning_rate": 0.00010852260574459022, + "loss": 2.1867, + "step": 1729 + }, + { + "epoch": 0.79, + "grad_norm": 0.19873615422040616, + "learning_rate": 0.00010806102417085512, + "loss": 2.1659, + "step": 1730 + }, + { + "epoch": 0.79, + "grad_norm": 0.2661226017715601, + "learning_rate": 0.00010760030736066951, + "loss": 2.1782, + "step": 1731 + }, + { + "epoch": 0.79, + "grad_norm": 0.21400204753584326, + "learning_rate": 0.00010714045633054687, + "loss": 2.2344, + "step": 1732 + }, + { + "epoch": 0.79, + "grad_norm": 0.19683992285367743, + "learning_rate": 0.00010668147209508971, + "loss": 2.1691, + "step": 1733 + }, + { + "epoch": 0.8, + "grad_norm": 0.19587003337868084, + "learning_rate": 0.00010622335566698877, + "loss": 2.2495, + "step": 1734 + }, + { + "epoch": 0.8, + "grad_norm": 0.2171496905534823, + "learning_rate": 0.00010576610805701942, + "loss": 2.241, + "step": 1735 + }, + { + "epoch": 0.8, + "grad_norm": 0.2093414877701797, + "learning_rate": 0.00010530973027404073, + "loss": 2.1838, + "step": 1736 + }, + { + "epoch": 0.8, + "grad_norm": 0.1782116980049615, + "learning_rate": 0.00010485422332499212, + "loss": 2.1561, + "step": 1737 + }, + { + "epoch": 0.8, + "grad_norm": 0.18083806183817183, + "learning_rate": 0.00010439958821489165, + "loss": 2.1607, + "step": 1738 + }, + { + "epoch": 0.8, + "grad_norm": 0.20240197636029783, + "learning_rate": 0.00010394582594683428, + "loss": 2.1399, + "step": 1739 + }, + { + "epoch": 0.8, + "grad_norm": 0.19213255189345904, + "learning_rate": 0.0001034929375219884, + "loss": 2.106, + "step": 1740 + }, + { + "epoch": 0.8, + "grad_norm": 0.1861107618455325, + "learning_rate": 0.00010304092393959514, + "loss": 2.174, + "step": 1741 + }, + { + "epoch": 0.8, + "grad_norm": 0.1822005738759056, + "learning_rate": 0.00010258978619696468, + "loss": 2.0973, + "step": 1742 + }, + { + "epoch": 0.8, + "grad_norm": 0.19943263125110733, + "learning_rate": 0.00010213952528947551, + "loss": 2.2293, + "step": 1743 + }, + { + "epoch": 0.8, + "grad_norm": 0.18231295484075816, + "learning_rate": 0.00010169014221057089, + "loss": 2.095, + "step": 1744 + }, + { + "epoch": 0.8, + "grad_norm": 0.19399413023280057, + "learning_rate": 0.00010124163795175734, + "loss": 2.2225, + "step": 1745 + }, + { + "epoch": 0.8, + "grad_norm": 0.22718083779593137, + "learning_rate": 0.00010079401350260287, + "loss": 2.0985, + "step": 1746 + }, + { + "epoch": 0.8, + "grad_norm": 0.18741488304511364, + "learning_rate": 0.00010034726985073362, + "loss": 2.2973, + "step": 1747 + }, + { + "epoch": 0.8, + "grad_norm": 0.2060957117334076, + "learning_rate": 9.9901407981833e-05, + "loss": 2.2446, + "step": 1748 + }, + { + "epoch": 0.8, + "grad_norm": 0.19253235354533865, + "learning_rate": 9.94564288796384e-05, + "loss": 2.222, + "step": 1749 + }, + { + "epoch": 0.8, + "grad_norm": 0.25337820962425156, + "learning_rate": 9.901233352593953e-05, + "loss": 2.2028, + "step": 1750 + }, + { + "epoch": 0.8, + "grad_norm": 0.2677452623177619, + "learning_rate": 9.856912290057668e-05, + "loss": 2.1535, + "step": 1751 + }, + { + "epoch": 0.8, + "grad_norm": 0.2002660480282296, + "learning_rate": 9.812679798143748e-05, + "loss": 2.191, + "step": 1752 + }, + { + "epoch": 0.8, + "grad_norm": 0.2036564576414624, + "learning_rate": 9.768535974445586e-05, + "loss": 2.2427, + "step": 1753 + }, + { + "epoch": 0.8, + "grad_norm": 0.19910617508886524, + "learning_rate": 9.724480916360906e-05, + "loss": 2.1171, + "step": 1754 + }, + { + "epoch": 0.8, + "grad_norm": 0.19563108353633346, + "learning_rate": 9.68051472109162e-05, + "loss": 2.1735, + "step": 1755 + }, + { + "epoch": 0.81, + "grad_norm": 0.20773625682939686, + "learning_rate": 9.636637485643529e-05, + "loss": 2.2396, + "step": 1756 + }, + { + "epoch": 0.81, + "grad_norm": 0.20881795791125538, + "learning_rate": 9.592849306826174e-05, + "loss": 2.3078, + "step": 1757 + }, + { + "epoch": 0.81, + "grad_norm": 0.22115639761056105, + "learning_rate": 9.549150281252633e-05, + "loss": 2.2354, + "step": 1758 + }, + { + "epoch": 0.81, + "grad_norm": 0.22310616035679062, + "learning_rate": 9.505540505339223e-05, + "loss": 2.1185, + "step": 1759 + }, + { + "epoch": 0.81, + "grad_norm": 0.20643716715485386, + "learning_rate": 9.4620200753054e-05, + "loss": 2.2384, + "step": 1760 + }, + { + "epoch": 0.81, + "grad_norm": 0.20577665878935408, + "learning_rate": 9.418589087173441e-05, + "loss": 2.1033, + "step": 1761 + }, + { + "epoch": 0.81, + "grad_norm": 0.19116741242747853, + "learning_rate": 9.375247636768325e-05, + "loss": 2.1755, + "step": 1762 + }, + { + "epoch": 0.81, + "grad_norm": 0.19018272894363455, + "learning_rate": 9.331995819717443e-05, + "loss": 2.2542, + "step": 1763 + }, + { + "epoch": 0.81, + "grad_norm": 0.20118894812462212, + "learning_rate": 9.288833731450419e-05, + "loss": 2.1996, + "step": 1764 + }, + { + "epoch": 0.81, + "grad_norm": 0.18727501332591692, + "learning_rate": 9.245761467198948e-05, + "loss": 2.1894, + "step": 1765 + }, + { + "epoch": 0.81, + "grad_norm": 0.23599146487908126, + "learning_rate": 9.20277912199648e-05, + "loss": 2.1774, + "step": 1766 + }, + { + "epoch": 0.81, + "grad_norm": 0.24251108155452514, + "learning_rate": 9.159886790678123e-05, + "loss": 2.3079, + "step": 1767 + }, + { + "epoch": 0.81, + "grad_norm": 0.21508329933928858, + "learning_rate": 9.11708456788033e-05, + "loss": 2.2564, + "step": 1768 + }, + { + "epoch": 0.81, + "grad_norm": 0.212138063223538, + "learning_rate": 9.074372548040793e-05, + "loss": 2.2158, + "step": 1769 + }, + { + "epoch": 0.81, + "grad_norm": 0.18114125553046279, + "learning_rate": 9.031750825398145e-05, + "loss": 2.141, + "step": 1770 + }, + { + "epoch": 0.81, + "grad_norm": 0.2000891578175025, + "learning_rate": 8.98921949399179e-05, + "loss": 2.1094, + "step": 1771 + }, + { + "epoch": 0.81, + "grad_norm": 0.18884757369029959, + "learning_rate": 8.94677864766173e-05, + "loss": 2.2201, + "step": 1772 + }, + { + "epoch": 0.81, + "grad_norm": 0.17884144415827705, + "learning_rate": 8.904428380048269e-05, + "loss": 2.1754, + "step": 1773 + }, + { + "epoch": 0.81, + "grad_norm": 0.18784435817932182, + "learning_rate": 8.862168784591929e-05, + "loss": 2.255, + "step": 1774 + }, + { + "epoch": 0.81, + "grad_norm": 0.19944156139958769, + "learning_rate": 8.819999954533115e-05, + "loss": 2.2959, + "step": 1775 + }, + { + "epoch": 0.81, + "grad_norm": 0.2328736129968475, + "learning_rate": 8.777921982911996e-05, + "loss": 2.1767, + "step": 1776 + }, + { + "epoch": 0.81, + "grad_norm": 0.1891135650617138, + "learning_rate": 8.735934962568253e-05, + "loss": 2.1549, + "step": 1777 + }, + { + "epoch": 0.82, + "grad_norm": 0.2342808209378535, + "learning_rate": 8.694038986140945e-05, + "loss": 2.0982, + "step": 1778 + }, + { + "epoch": 0.82, + "grad_norm": 0.2420984741543743, + "learning_rate": 8.652234146068206e-05, + "loss": 2.225, + "step": 1779 + }, + { + "epoch": 0.82, + "grad_norm": 0.20031550440461612, + "learning_rate": 8.610520534587086e-05, + "loss": 2.2026, + "step": 1780 + }, + { + "epoch": 0.82, + "grad_norm": 0.20575513621666017, + "learning_rate": 8.568898243733397e-05, + "loss": 2.265, + "step": 1781 + }, + { + "epoch": 0.82, + "grad_norm": 0.20281790383411716, + "learning_rate": 8.527367365341409e-05, + "loss": 2.2274, + "step": 1782 + }, + { + "epoch": 0.82, + "grad_norm": 0.19099244638056956, + "learning_rate": 8.485927991043757e-05, + "loss": 2.0307, + "step": 1783 + }, + { + "epoch": 0.82, + "grad_norm": 0.21005635827262786, + "learning_rate": 8.444580212271125e-05, + "loss": 2.2305, + "step": 1784 + }, + { + "epoch": 0.82, + "grad_norm": 0.1830157410501735, + "learning_rate": 8.403324120252159e-05, + "loss": 2.2158, + "step": 1785 + }, + { + "epoch": 0.82, + "grad_norm": 0.19146743934589475, + "learning_rate": 8.362159806013175e-05, + "loss": 2.227, + "step": 1786 + }, + { + "epoch": 0.82, + "grad_norm": 0.1887199787218294, + "learning_rate": 8.321087360377988e-05, + "loss": 2.2483, + "step": 1787 + }, + { + "epoch": 0.82, + "grad_norm": 0.2028962951882763, + "learning_rate": 8.280106873967752e-05, + "loss": 2.1891, + "step": 1788 + }, + { + "epoch": 0.82, + "grad_norm": 0.20052000910923584, + "learning_rate": 8.239218437200679e-05, + "loss": 2.1685, + "step": 1789 + }, + { + "epoch": 0.82, + "grad_norm": 0.19132550343799978, + "learning_rate": 8.198422140291939e-05, + "loss": 2.239, + "step": 1790 + }, + { + "epoch": 0.82, + "grad_norm": 0.1898714917050587, + "learning_rate": 8.157718073253351e-05, + "loss": 2.2275, + "step": 1791 + }, + { + "epoch": 0.82, + "grad_norm": 0.18634586399936065, + "learning_rate": 8.117106325893287e-05, + "loss": 2.142, + "step": 1792 + }, + { + "epoch": 0.82, + "grad_norm": 0.1825308805880104, + "learning_rate": 8.076586987816404e-05, + "loss": 2.1782, + "step": 1793 + }, + { + "epoch": 0.82, + "grad_norm": 0.21418924241377196, + "learning_rate": 8.036160148423449e-05, + "loss": 2.3745, + "step": 1794 + }, + { + "epoch": 0.82, + "grad_norm": 0.1949175517634401, + "learning_rate": 7.995825896911141e-05, + "loss": 2.0629, + "step": 1795 + }, + { + "epoch": 0.82, + "grad_norm": 0.18712306672705675, + "learning_rate": 7.955584322271853e-05, + "loss": 2.1716, + "step": 1796 + }, + { + "epoch": 0.82, + "grad_norm": 0.1916650205086422, + "learning_rate": 7.915435513293523e-05, + "loss": 2.2967, + "step": 1797 + }, + { + "epoch": 0.82, + "grad_norm": 0.20178552403826586, + "learning_rate": 7.875379558559387e-05, + "loss": 2.3119, + "step": 1798 + }, + { + "epoch": 0.82, + "grad_norm": 0.18446327719664796, + "learning_rate": 7.835416546447838e-05, + "loss": 2.1926, + "step": 1799 + }, + { + "epoch": 0.83, + "grad_norm": 0.19612353850654568, + "learning_rate": 7.795546565132167e-05, + "loss": 2.1325, + "step": 1800 + }, + { + "epoch": 0.83, + "grad_norm": 0.19997504214175774, + "learning_rate": 7.755769702580412e-05, + "loss": 2.1765, + "step": 1801 + }, + { + "epoch": 0.83, + "grad_norm": 0.1987177620796784, + "learning_rate": 7.716086046555193e-05, + "loss": 2.1697, + "step": 1802 + }, + { + "epoch": 0.83, + "grad_norm": 0.2176508952062808, + "learning_rate": 7.676495684613432e-05, + "loss": 2.0908, + "step": 1803 + }, + { + "epoch": 0.83, + "grad_norm": 0.20728211151429424, + "learning_rate": 7.636998704106252e-05, + "loss": 2.2785, + "step": 1804 + }, + { + "epoch": 0.83, + "grad_norm": 0.21682824484302715, + "learning_rate": 7.597595192178702e-05, + "loss": 2.1959, + "step": 1805 + }, + { + "epoch": 0.83, + "grad_norm": 0.18481565817678483, + "learning_rate": 7.558285235769646e-05, + "loss": 2.2127, + "step": 1806 + }, + { + "epoch": 0.83, + "grad_norm": 0.20926846487120232, + "learning_rate": 7.519068921611494e-05, + "loss": 2.2315, + "step": 1807 + }, + { + "epoch": 0.83, + "grad_norm": 0.1984765497680103, + "learning_rate": 7.479946336230047e-05, + "loss": 2.2238, + "step": 1808 + }, + { + "epoch": 0.83, + "grad_norm": 0.1928630238687702, + "learning_rate": 7.440917565944349e-05, + "loss": 2.1736, + "step": 1809 + }, + { + "epoch": 0.83, + "grad_norm": 0.2704599584699775, + "learning_rate": 7.4019826968664e-05, + "loss": 2.2734, + "step": 1810 + }, + { + "epoch": 0.83, + "grad_norm": 0.2304509562758494, + "learning_rate": 7.363141814901053e-05, + "loss": 2.1236, + "step": 1811 + }, + { + "epoch": 0.83, + "grad_norm": 0.1942000925477848, + "learning_rate": 7.32439500574577e-05, + "loss": 2.1942, + "step": 1812 + }, + { + "epoch": 0.83, + "grad_norm": 0.19554712749801237, + "learning_rate": 7.285742354890473e-05, + "loss": 2.2288, + "step": 1813 + }, + { + "epoch": 0.83, + "grad_norm": 0.1820137605640334, + "learning_rate": 7.247183947617325e-05, + "loss": 2.1655, + "step": 1814 + }, + { + "epoch": 0.83, + "grad_norm": 0.20015347253316956, + "learning_rate": 7.20871986900053e-05, + "loss": 2.2659, + "step": 1815 + }, + { + "epoch": 0.83, + "grad_norm": 0.22495034164038688, + "learning_rate": 7.170350203906218e-05, + "loss": 2.1841, + "step": 1816 + }, + { + "epoch": 0.83, + "grad_norm": 0.27835217168178317, + "learning_rate": 7.132075036992158e-05, + "loss": 2.1883, + "step": 1817 + }, + { + "epoch": 0.83, + "grad_norm": 0.18648231209692093, + "learning_rate": 7.093894452707666e-05, + "loss": 2.2003, + "step": 1818 + }, + { + "epoch": 0.83, + "grad_norm": 0.1829525060701676, + "learning_rate": 7.055808535293334e-05, + "loss": 2.1439, + "step": 1819 + }, + { + "epoch": 0.83, + "grad_norm": 0.19777689920103092, + "learning_rate": 7.017817368780888e-05, + "loss": 2.2089, + "step": 1820 + }, + { + "epoch": 0.83, + "grad_norm": 0.21225748704768785, + "learning_rate": 6.979921036993042e-05, + "loss": 2.1958, + "step": 1821 + }, + { + "epoch": 0.84, + "grad_norm": 0.23122050625000368, + "learning_rate": 6.942119623543202e-05, + "loss": 2.2188, + "step": 1822 + }, + { + "epoch": 0.84, + "grad_norm": 0.19676928170023078, + "learning_rate": 6.904413211835414e-05, + "loss": 2.2175, + "step": 1823 + }, + { + "epoch": 0.84, + "grad_norm": 0.1848667586477778, + "learning_rate": 6.866801885064056e-05, + "loss": 2.2651, + "step": 1824 + }, + { + "epoch": 0.84, + "grad_norm": 0.18818300533971175, + "learning_rate": 6.829285726213769e-05, + "loss": 2.1735, + "step": 1825 + }, + { + "epoch": 0.84, + "grad_norm": 0.21194043528920234, + "learning_rate": 6.79186481805918e-05, + "loss": 2.158, + "step": 1826 + }, + { + "epoch": 0.84, + "grad_norm": 0.20049431740385892, + "learning_rate": 6.754539243164754e-05, + "loss": 2.3047, + "step": 1827 + }, + { + "epoch": 0.84, + "grad_norm": 0.18561535657623318, + "learning_rate": 6.717309083884654e-05, + "loss": 2.204, + "step": 1828 + }, + { + "epoch": 0.84, + "grad_norm": 0.20699383399240484, + "learning_rate": 6.680174422362468e-05, + "loss": 2.2048, + "step": 1829 + }, + { + "epoch": 0.84, + "grad_norm": 0.21501953782226746, + "learning_rate": 6.643135340531136e-05, + "loss": 2.2059, + "step": 1830 + }, + { + "epoch": 0.84, + "grad_norm": 0.20953027982785097, + "learning_rate": 6.606191920112664e-05, + "loss": 2.1573, + "step": 1831 + }, + { + "epoch": 0.84, + "grad_norm": 0.2005048894980158, + "learning_rate": 6.569344242618036e-05, + "loss": 2.1987, + "step": 1832 + }, + { + "epoch": 0.84, + "grad_norm": 0.1927734002521077, + "learning_rate": 6.532592389346958e-05, + "loss": 2.2697, + "step": 1833 + }, + { + "epoch": 0.84, + "grad_norm": 0.19528504866207952, + "learning_rate": 6.495936441387713e-05, + "loss": 2.2455, + "step": 1834 + }, + { + "epoch": 0.84, + "grad_norm": 0.19711341754790157, + "learning_rate": 6.459376479617013e-05, + "loss": 2.1955, + "step": 1835 + }, + { + "epoch": 0.84, + "grad_norm": 0.18752884114031879, + "learning_rate": 6.422912584699752e-05, + "loss": 2.1222, + "step": 1836 + }, + { + "epoch": 0.84, + "grad_norm": 0.2085162032520396, + "learning_rate": 6.386544837088904e-05, + "loss": 2.2519, + "step": 1837 + }, + { + "epoch": 0.84, + "grad_norm": 0.19750882148801546, + "learning_rate": 6.350273317025251e-05, + "loss": 2.2485, + "step": 1838 + }, + { + "epoch": 0.84, + "grad_norm": 0.20195687587452138, + "learning_rate": 6.314098104537324e-05, + "loss": 2.2525, + "step": 1839 + }, + { + "epoch": 0.84, + "grad_norm": 0.18450607629703755, + "learning_rate": 6.278019279441122e-05, + "loss": 2.0268, + "step": 1840 + }, + { + "epoch": 0.84, + "grad_norm": 0.1985112798807352, + "learning_rate": 6.242036921339972e-05, + "loss": 2.2566, + "step": 1841 + }, + { + "epoch": 0.84, + "grad_norm": 0.19469125691243405, + "learning_rate": 6.206151109624402e-05, + "loss": 2.2547, + "step": 1842 + }, + { + "epoch": 0.85, + "grad_norm": 0.19039330079737057, + "learning_rate": 6.170361923471868e-05, + "loss": 2.2077, + "step": 1843 + }, + { + "epoch": 0.85, + "grad_norm": 0.21939976600894096, + "learning_rate": 6.134669441846691e-05, + "loss": 2.2381, + "step": 1844 + }, + { + "epoch": 0.85, + "grad_norm": 0.19221216812944528, + "learning_rate": 6.099073743499772e-05, + "loss": 2.235, + "step": 1845 + }, + { + "epoch": 0.85, + "grad_norm": 0.1836073425587186, + "learning_rate": 6.063574906968511e-05, + "loss": 2.2427, + "step": 1846 + }, + { + "epoch": 0.85, + "grad_norm": 0.22577770334124844, + "learning_rate": 6.028173010576582e-05, + "loss": 2.1423, + "step": 1847 + }, + { + "epoch": 0.85, + "grad_norm": 0.211336298659514, + "learning_rate": 5.9928681324337544e-05, + "loss": 2.1811, + "step": 1848 + }, + { + "epoch": 0.85, + "grad_norm": 0.20619227868507703, + "learning_rate": 5.957660350435773e-05, + "loss": 2.1179, + "step": 1849 + }, + { + "epoch": 0.85, + "grad_norm": 0.19970617236740604, + "learning_rate": 5.922549742264122e-05, + "loss": 2.3006, + "step": 1850 + }, + { + "epoch": 0.85, + "grad_norm": 0.19942773250705054, + "learning_rate": 5.8875363853859166e-05, + "loss": 2.1493, + "step": 1851 + }, + { + "epoch": 0.85, + "grad_norm": 0.23911792575825705, + "learning_rate": 5.852620357053651e-05, + "loss": 2.2839, + "step": 1852 + }, + { + "epoch": 0.85, + "grad_norm": 0.182643237008338, + "learning_rate": 5.8178017343051336e-05, + "loss": 2.1686, + "step": 1853 + }, + { + "epoch": 0.85, + "grad_norm": 0.18945587597081381, + "learning_rate": 5.783080593963219e-05, + "loss": 2.1759, + "step": 1854 + }, + { + "epoch": 0.85, + "grad_norm": 0.22518719464280804, + "learning_rate": 5.748457012635683e-05, + "loss": 2.1207, + "step": 1855 + }, + { + "epoch": 0.85, + "grad_norm": 0.20338083766079387, + "learning_rate": 5.713931066715078e-05, + "loss": 2.2452, + "step": 1856 + }, + { + "epoch": 0.85, + "grad_norm": 0.2162505419761062, + "learning_rate": 5.679502832378497e-05, + "loss": 2.2722, + "step": 1857 + }, + { + "epoch": 0.85, + "grad_norm": 0.20059055268022957, + "learning_rate": 5.645172385587482e-05, + "loss": 2.1582, + "step": 1858 + }, + { + "epoch": 0.85, + "grad_norm": 0.1922801930959447, + "learning_rate": 5.6109398020877834e-05, + "loss": 2.2056, + "step": 1859 + }, + { + "epoch": 0.85, + "grad_norm": 0.18217671989263112, + "learning_rate": 5.576805157409265e-05, + "loss": 2.1004, + "step": 1860 + }, + { + "epoch": 0.85, + "grad_norm": 0.19023629531242559, + "learning_rate": 5.542768526865677e-05, + "loss": 2.1139, + "step": 1861 + }, + { + "epoch": 0.85, + "grad_norm": 0.19569367089707743, + "learning_rate": 5.508829985554509e-05, + "loss": 2.1616, + "step": 1862 + }, + { + "epoch": 0.85, + "grad_norm": 0.18580240173141926, + "learning_rate": 5.474989608356856e-05, + "loss": 2.1938, + "step": 1863 + }, + { + "epoch": 0.85, + "grad_norm": 0.20821077022850057, + "learning_rate": 5.441247469937194e-05, + "loss": 2.1402, + "step": 1864 + }, + { + "epoch": 0.86, + "grad_norm": 0.199332613636617, + "learning_rate": 5.407603644743286e-05, + "loss": 2.2157, + "step": 1865 + }, + { + "epoch": 0.86, + "grad_norm": 0.19107402508334112, + "learning_rate": 5.374058207005944e-05, + "loss": 2.1925, + "step": 1866 + }, + { + "epoch": 0.86, + "grad_norm": 0.1998386059360506, + "learning_rate": 5.3406112307389066e-05, + "loss": 2.1977, + "step": 1867 + }, + { + "epoch": 0.86, + "grad_norm": 0.19577399880479301, + "learning_rate": 5.3072627897386926e-05, + "loss": 2.0557, + "step": 1868 + }, + { + "epoch": 0.86, + "grad_norm": 0.1914850550675608, + "learning_rate": 5.27401295758439e-05, + "loss": 2.2003, + "step": 1869 + }, + { + "epoch": 0.86, + "grad_norm": 0.17950457843660056, + "learning_rate": 5.2408618076375315e-05, + "loss": 2.218, + "step": 1870 + }, + { + "epoch": 0.86, + "grad_norm": 0.19889337052379386, + "learning_rate": 5.207809413041914e-05, + "loss": 2.0621, + "step": 1871 + }, + { + "epoch": 0.86, + "grad_norm": 0.19109818430953646, + "learning_rate": 5.174855846723459e-05, + "loss": 2.2414, + "step": 1872 + }, + { + "epoch": 0.86, + "grad_norm": 0.19748445704293383, + "learning_rate": 5.1420011813900104e-05, + "loss": 2.1245, + "step": 1873 + }, + { + "epoch": 0.86, + "grad_norm": 0.26941446052539003, + "learning_rate": 5.109245489531211e-05, + "loss": 2.2114, + "step": 1874 + }, + { + "epoch": 0.86, + "grad_norm": 0.18661276153060335, + "learning_rate": 5.0765888434183446e-05, + "loss": 2.1697, + "step": 1875 + }, + { + "epoch": 0.86, + "grad_norm": 0.19972798422298496, + "learning_rate": 5.0440313151041364e-05, + "loss": 2.1656, + "step": 1876 + }, + { + "epoch": 0.86, + "grad_norm": 0.19824390940594824, + "learning_rate": 5.011572976422657e-05, + "loss": 2.1265, + "step": 1877 + }, + { + "epoch": 0.86, + "grad_norm": 0.18572163346625642, + "learning_rate": 4.9792138989890825e-05, + "loss": 2.184, + "step": 1878 + }, + { + "epoch": 0.86, + "grad_norm": 0.18500496629958407, + "learning_rate": 4.9469541541996234e-05, + "loss": 2.1129, + "step": 1879 + }, + { + "epoch": 0.86, + "grad_norm": 0.2711769701201184, + "learning_rate": 4.914793813231305e-05, + "loss": 2.2072, + "step": 1880 + }, + { + "epoch": 0.86, + "grad_norm": 0.3012206830534826, + "learning_rate": 4.882732947041818e-05, + "loss": 2.2257, + "step": 1881 + }, + { + "epoch": 0.86, + "grad_norm": 0.24537301154376234, + "learning_rate": 4.850771626369416e-05, + "loss": 2.0437, + "step": 1882 + }, + { + "epoch": 0.86, + "grad_norm": 0.2167949372812504, + "learning_rate": 4.818909921732662e-05, + "loss": 2.2226, + "step": 1883 + }, + { + "epoch": 0.86, + "grad_norm": 0.194005884542549, + "learning_rate": 4.787147903430383e-05, + "loss": 2.2402, + "step": 1884 + }, + { + "epoch": 0.86, + "grad_norm": 0.20235480462107255, + "learning_rate": 4.755485641541424e-05, + "loss": 2.3329, + "step": 1885 + }, + { + "epoch": 0.86, + "grad_norm": 0.19910654069227096, + "learning_rate": 4.723923205924557e-05, + "loss": 2.2449, + "step": 1886 + }, + { + "epoch": 0.87, + "grad_norm": 0.19415300642372504, + "learning_rate": 4.6924606662182736e-05, + "loss": 2.1628, + "step": 1887 + }, + { + "epoch": 0.87, + "grad_norm": 0.22299199880414705, + "learning_rate": 4.6610980918406596e-05, + "loss": 2.131, + "step": 1888 + }, + { + "epoch": 0.87, + "grad_norm": 0.22716178879800655, + "learning_rate": 4.629835551989276e-05, + "loss": 2.2413, + "step": 1889 + }, + { + "epoch": 0.87, + "grad_norm": 0.19141449013198333, + "learning_rate": 4.5986731156409224e-05, + "loss": 2.1117, + "step": 1890 + }, + { + "epoch": 0.87, + "grad_norm": 0.2178077859840288, + "learning_rate": 4.567610851551568e-05, + "loss": 2.2135, + "step": 1891 + }, + { + "epoch": 0.87, + "grad_norm": 0.18395662145279898, + "learning_rate": 4.536648828256146e-05, + "loss": 2.217, + "step": 1892 + }, + { + "epoch": 0.87, + "grad_norm": 0.24833285193023724, + "learning_rate": 4.505787114068433e-05, + "loss": 2.3179, + "step": 1893 + }, + { + "epoch": 0.87, + "grad_norm": 0.20138924696714214, + "learning_rate": 4.4750257770808764e-05, + "loss": 2.183, + "step": 1894 + }, + { + "epoch": 0.87, + "grad_norm": 0.19012786203001, + "learning_rate": 4.444364885164448e-05, + "loss": 2.1483, + "step": 1895 + }, + { + "epoch": 0.87, + "grad_norm": 0.23678039556562408, + "learning_rate": 4.413804505968533e-05, + "loss": 2.1112, + "step": 1896 + }, + { + "epoch": 0.87, + "grad_norm": 0.24128247937453084, + "learning_rate": 4.3833447069206944e-05, + "loss": 2.1589, + "step": 1897 + }, + { + "epoch": 0.87, + "grad_norm": 0.1979738062347433, + "learning_rate": 4.352985555226635e-05, + "loss": 2.2818, + "step": 1898 + }, + { + "epoch": 0.87, + "grad_norm": 0.18919320079146243, + "learning_rate": 4.322727117869951e-05, + "loss": 2.2398, + "step": 1899 + }, + { + "epoch": 0.87, + "grad_norm": 0.18221378097255525, + "learning_rate": 4.29256946161205e-05, + "loss": 2.1706, + "step": 1900 + }, + { + "epoch": 0.87, + "grad_norm": 0.1978861247834856, + "learning_rate": 4.262512652991968e-05, + "loss": 2.1463, + "step": 1901 + }, + { + "epoch": 0.87, + "grad_norm": 0.19058448074411846, + "learning_rate": 4.2325567583262113e-05, + "loss": 2.3173, + "step": 1902 + }, + { + "epoch": 0.87, + "grad_norm": 0.2093543645908347, + "learning_rate": 4.2027018437086895e-05, + "loss": 2.2174, + "step": 1903 + }, + { + "epoch": 0.87, + "grad_norm": 0.19682517595557825, + "learning_rate": 4.172947975010449e-05, + "loss": 2.1142, + "step": 1904 + }, + { + "epoch": 0.87, + "grad_norm": 0.1860850272660553, + "learning_rate": 4.143295217879645e-05, + "loss": 2.2912, + "step": 1905 + }, + { + "epoch": 0.87, + "grad_norm": 0.20166645416034587, + "learning_rate": 4.113743637741296e-05, + "loss": 2.3348, + "step": 1906 + }, + { + "epoch": 0.87, + "grad_norm": 0.18803886008201887, + "learning_rate": 4.084293299797226e-05, + "loss": 2.1972, + "step": 1907 + }, + { + "epoch": 0.87, + "grad_norm": 0.18953121028684525, + "learning_rate": 4.054944269025862e-05, + "loss": 2.2734, + "step": 1908 + }, + { + "epoch": 0.88, + "grad_norm": 0.1971576034749491, + "learning_rate": 4.025696610182095e-05, + "loss": 2.2135, + "step": 1909 + }, + { + "epoch": 0.88, + "grad_norm": 0.20026802939844263, + "learning_rate": 3.996550387797187e-05, + "loss": 2.121, + "step": 1910 + }, + { + "epoch": 0.88, + "grad_norm": 0.24744569396766025, + "learning_rate": 3.9675056661785556e-05, + "loss": 2.0837, + "step": 1911 + }, + { + "epoch": 0.88, + "grad_norm": 0.19065586578441535, + "learning_rate": 3.9385625094097154e-05, + "loss": 2.207, + "step": 1912 + }, + { + "epoch": 0.88, + "grad_norm": 0.20765971142714085, + "learning_rate": 3.909720981350034e-05, + "loss": 2.3281, + "step": 1913 + }, + { + "epoch": 0.88, + "grad_norm": 0.2075437632919322, + "learning_rate": 3.880981145634704e-05, + "loss": 2.2532, + "step": 1914 + }, + { + "epoch": 0.88, + "grad_norm": 0.21958259656117657, + "learning_rate": 3.852343065674507e-05, + "loss": 2.1759, + "step": 1915 + }, + { + "epoch": 0.88, + "grad_norm": 0.20612161030245038, + "learning_rate": 3.8238068046557276e-05, + "loss": 2.216, + "step": 1916 + }, + { + "epoch": 0.88, + "grad_norm": 0.19204842084921714, + "learning_rate": 3.795372425540006e-05, + "loss": 2.3331, + "step": 1917 + }, + { + "epoch": 0.88, + "grad_norm": 0.19954221468337327, + "learning_rate": 3.76703999106418e-05, + "loss": 2.137, + "step": 1918 + }, + { + "epoch": 0.88, + "grad_norm": 0.20224296754995272, + "learning_rate": 3.7388095637401754e-05, + "loss": 2.2432, + "step": 1919 + }, + { + "epoch": 0.88, + "grad_norm": 0.19853684804394414, + "learning_rate": 3.7106812058548376e-05, + "loss": 2.1035, + "step": 1920 + }, + { + "epoch": 0.88, + "grad_norm": 0.18477678035420592, + "learning_rate": 3.682654979469807e-05, + "loss": 2.1804, + "step": 1921 + }, + { + "epoch": 0.88, + "grad_norm": 0.2024734553471205, + "learning_rate": 3.654730946421403e-05, + "loss": 2.207, + "step": 1922 + }, + { + "epoch": 0.88, + "grad_norm": 0.19686517653073293, + "learning_rate": 3.6269091683204466e-05, + "loss": 2.2153, + "step": 1923 + }, + { + "epoch": 0.88, + "grad_norm": 0.18510770456825373, + "learning_rate": 3.5991897065521693e-05, + "loss": 2.1849, + "step": 1924 + }, + { + "epoch": 0.88, + "grad_norm": 0.21388936167274522, + "learning_rate": 3.571572622276026e-05, + "loss": 2.3079, + "step": 1925 + }, + { + "epoch": 0.88, + "grad_norm": 0.19610269827686574, + "learning_rate": 3.544057976425619e-05, + "loss": 2.1634, + "step": 1926 + }, + { + "epoch": 0.88, + "grad_norm": 0.17990448810000684, + "learning_rate": 3.5166458297085146e-05, + "loss": 2.1194, + "step": 1927 + }, + { + "epoch": 0.88, + "grad_norm": 0.19463739838401434, + "learning_rate": 3.489336242606111e-05, + "loss": 2.1601, + "step": 1928 + }, + { + "epoch": 0.88, + "grad_norm": 0.19597754550921037, + "learning_rate": 3.462129275373577e-05, + "loss": 2.1924, + "step": 1929 + }, + { + "epoch": 0.88, + "grad_norm": 0.1936132902928904, + "learning_rate": 3.4350249880395924e-05, + "loss": 2.3264, + "step": 1930 + }, + { + "epoch": 0.89, + "grad_norm": 0.2077776730847013, + "learning_rate": 3.408023440406355e-05, + "loss": 2.1909, + "step": 1931 + }, + { + "epoch": 0.89, + "grad_norm": 0.1918216632549217, + "learning_rate": 3.381124692049331e-05, + "loss": 2.1951, + "step": 1932 + }, + { + "epoch": 0.89, + "grad_norm": 0.18768923670567975, + "learning_rate": 3.354328802317197e-05, + "loss": 2.2152, + "step": 1933 + }, + { + "epoch": 0.89, + "grad_norm": 0.2098135394092074, + "learning_rate": 3.327635830331677e-05, + "loss": 2.1604, + "step": 1934 + }, + { + "epoch": 0.89, + "grad_norm": 0.20327429747523748, + "learning_rate": 3.3010458349874206e-05, + "loss": 2.1177, + "step": 1935 + }, + { + "epoch": 0.89, + "grad_norm": 0.18687694693447232, + "learning_rate": 3.2745588749518775e-05, + "loss": 2.1616, + "step": 1936 + }, + { + "epoch": 0.89, + "grad_norm": 0.23459461102577694, + "learning_rate": 3.248175008665161e-05, + "loss": 2.2814, + "step": 1937 + }, + { + "epoch": 0.89, + "grad_norm": 0.19292016642247395, + "learning_rate": 3.221894294339911e-05, + "loss": 2.2436, + "step": 1938 + }, + { + "epoch": 0.89, + "grad_norm": 0.19431476506648462, + "learning_rate": 3.1957167899611836e-05, + "loss": 2.2327, + "step": 1939 + }, + { + "epoch": 0.89, + "grad_norm": 0.18265038775289763, + "learning_rate": 3.169642553286334e-05, + "loss": 2.1112, + "step": 1940 + }, + { + "epoch": 0.89, + "grad_norm": 0.21706147352754185, + "learning_rate": 3.143671641844831e-05, + "loss": 2.1174, + "step": 1941 + }, + { + "epoch": 0.89, + "grad_norm": 0.1957030574443801, + "learning_rate": 3.117804112938205e-05, + "loss": 2.1653, + "step": 1942 + }, + { + "epoch": 0.89, + "grad_norm": 0.20656869936447403, + "learning_rate": 3.092040023639869e-05, + "loss": 2.2373, + "step": 1943 + }, + { + "epoch": 0.89, + "grad_norm": 0.1912810812060888, + "learning_rate": 3.066379430795002e-05, + "loss": 2.1595, + "step": 1944 + }, + { + "epoch": 0.89, + "grad_norm": 0.20029621312624993, + "learning_rate": 3.040822391020459e-05, + "loss": 2.191, + "step": 1945 + }, + { + "epoch": 0.89, + "grad_norm": 0.19008659157006305, + "learning_rate": 3.0153689607045842e-05, + "loss": 2.2164, + "step": 1946 + }, + { + "epoch": 0.89, + "grad_norm": 0.20186695443127436, + "learning_rate": 2.9900191960071545e-05, + "loss": 2.0746, + "step": 1947 + }, + { + "epoch": 0.89, + "grad_norm": 0.21022148165027219, + "learning_rate": 2.9647731528591848e-05, + "loss": 2.1648, + "step": 1948 + }, + { + "epoch": 0.89, + "grad_norm": 0.18973935150204035, + "learning_rate": 2.9396308869628795e-05, + "loss": 2.1556, + "step": 1949 + }, + { + "epoch": 0.89, + "grad_norm": 0.23653670039381058, + "learning_rate": 2.914592453791448e-05, + "loss": 2.2075, + "step": 1950 + }, + { + "epoch": 0.89, + "grad_norm": 0.1845112970208968, + "learning_rate": 2.8896579085889994e-05, + "loss": 2.2772, + "step": 1951 + }, + { + "epoch": 0.9, + "grad_norm": 0.20908254439747587, + "learning_rate": 2.86482730637046e-05, + "loss": 2.1511, + "step": 1952 + }, + { + "epoch": 0.9, + "grad_norm": 0.19286081646580286, + "learning_rate": 2.840100701921383e-05, + "loss": 2.0803, + "step": 1953 + }, + { + "epoch": 0.9, + "grad_norm": 0.20551856561898202, + "learning_rate": 2.8154781497978898e-05, + "loss": 2.2413, + "step": 1954 + }, + { + "epoch": 0.9, + "grad_norm": 0.21889998141671516, + "learning_rate": 2.7909597043265013e-05, + "loss": 2.1405, + "step": 1955 + }, + { + "epoch": 0.9, + "grad_norm": 0.2231807640861434, + "learning_rate": 2.7665454196040662e-05, + "loss": 2.1732, + "step": 1956 + }, + { + "epoch": 0.9, + "grad_norm": 0.19956850408106178, + "learning_rate": 2.7422353494975905e-05, + "loss": 2.1642, + "step": 1957 + }, + { + "epoch": 0.9, + "grad_norm": 0.1967234300049274, + "learning_rate": 2.7180295476441573e-05, + "loss": 2.2617, + "step": 1958 + }, + { + "epoch": 0.9, + "grad_norm": 0.1929931859540948, + "learning_rate": 2.6939280674508016e-05, + "loss": 2.2123, + "step": 1959 + }, + { + "epoch": 0.9, + "grad_norm": 0.19819382593309176, + "learning_rate": 2.669930962094358e-05, + "loss": 2.2196, + "step": 1960 + }, + { + "epoch": 0.9, + "grad_norm": 0.18880256169158757, + "learning_rate": 2.6460382845214126e-05, + "loss": 2.1853, + "step": 1961 + }, + { + "epoch": 0.9, + "grad_norm": 0.22390549165456095, + "learning_rate": 2.6222500874481025e-05, + "loss": 2.2164, + "step": 1962 + }, + { + "epoch": 0.9, + "grad_norm": 0.20143490297331865, + "learning_rate": 2.5985664233600827e-05, + "loss": 2.2549, + "step": 1963 + }, + { + "epoch": 0.9, + "grad_norm": 0.18776271406355677, + "learning_rate": 2.574987344512336e-05, + "loss": 2.2014, + "step": 1964 + }, + { + "epoch": 0.9, + "grad_norm": 0.20132125627381, + "learning_rate": 2.5515129029290984e-05, + "loss": 2.2347, + "step": 1965 + }, + { + "epoch": 0.9, + "grad_norm": 0.18040612108491977, + "learning_rate": 2.5281431504037556e-05, + "loss": 2.1925, + "step": 1966 + }, + { + "epoch": 0.9, + "grad_norm": 0.19986193573422673, + "learning_rate": 2.504878138498684e-05, + "loss": 2.1117, + "step": 1967 + }, + { + "epoch": 0.9, + "grad_norm": 0.19618785250489398, + "learning_rate": 2.48171791854519e-05, + "loss": 2.2049, + "step": 1968 + }, + { + "epoch": 0.9, + "grad_norm": 0.2079422231330272, + "learning_rate": 2.4586625416433473e-05, + "loss": 2.1231, + "step": 1969 + }, + { + "epoch": 0.9, + "grad_norm": 0.20815911283199579, + "learning_rate": 2.435712058661921e-05, + "loss": 2.1638, + "step": 1970 + }, + { + "epoch": 0.9, + "grad_norm": 0.1847587492213394, + "learning_rate": 2.4128665202382327e-05, + "loss": 2.1642, + "step": 1971 + }, + { + "epoch": 0.9, + "grad_norm": 0.18821514796089872, + "learning_rate": 2.3901259767780515e-05, + "loss": 2.1013, + "step": 1972 + }, + { + "epoch": 0.9, + "grad_norm": 0.18355602953655625, + "learning_rate": 2.367490478455514e-05, + "loss": 2.1657, + "step": 1973 + }, + { + "epoch": 0.91, + "grad_norm": 0.20535638029339043, + "learning_rate": 2.3449600752129597e-05, + "loss": 2.2678, + "step": 1974 + }, + { + "epoch": 0.91, + "grad_norm": 0.18867902458849223, + "learning_rate": 2.3225348167608685e-05, + "loss": 2.2627, + "step": 1975 + }, + { + "epoch": 0.91, + "grad_norm": 0.1914067256373385, + "learning_rate": 2.3002147525777118e-05, + "loss": 2.195, + "step": 1976 + }, + { + "epoch": 0.91, + "grad_norm": 0.2136669811879824, + "learning_rate": 2.2779999319098856e-05, + "loss": 2.2534, + "step": 1977 + }, + { + "epoch": 0.91, + "grad_norm": 0.19946708066958158, + "learning_rate": 2.255890403771571e-05, + "loss": 2.1757, + "step": 1978 + }, + { + "epoch": 0.91, + "grad_norm": 0.19346733206840042, + "learning_rate": 2.233886216944614e-05, + "loss": 2.0634, + "step": 1979 + }, + { + "epoch": 0.91, + "grad_norm": 0.2000127873713282, + "learning_rate": 2.211987419978484e-05, + "loss": 2.1263, + "step": 1980 + }, + { + "epoch": 0.91, + "grad_norm": 0.18134249399893168, + "learning_rate": 2.1901940611900705e-05, + "loss": 2.1627, + "step": 1981 + }, + { + "epoch": 0.91, + "grad_norm": 0.2363422354942448, + "learning_rate": 2.168506188663666e-05, + "loss": 2.2085, + "step": 1982 + }, + { + "epoch": 0.91, + "grad_norm": 0.1819892336970973, + "learning_rate": 2.1469238502507925e-05, + "loss": 2.2615, + "step": 1983 + }, + { + "epoch": 0.91, + "grad_norm": 0.18033471780381427, + "learning_rate": 2.125447093570154e-05, + "loss": 2.0973, + "step": 1984 + }, + { + "epoch": 0.91, + "grad_norm": 0.211072872722578, + "learning_rate": 2.1040759660074793e-05, + "loss": 2.1567, + "step": 1985 + }, + { + "epoch": 0.91, + "grad_norm": 0.19425712631528852, + "learning_rate": 2.0828105147154273e-05, + "loss": 2.199, + "step": 1986 + }, + { + "epoch": 0.91, + "grad_norm": 0.18725057734621575, + "learning_rate": 2.061650786613545e-05, + "loss": 2.1931, + "step": 1987 + }, + { + "epoch": 0.91, + "grad_norm": 0.23587010700663522, + "learning_rate": 2.040596828388058e-05, + "loss": 2.2556, + "step": 1988 + }, + { + "epoch": 0.91, + "grad_norm": 0.20548593971297058, + "learning_rate": 2.019648686491865e-05, + "loss": 2.2556, + "step": 1989 + }, + { + "epoch": 0.91, + "grad_norm": 0.1902358075622334, + "learning_rate": 1.9988064071443767e-05, + "loss": 2.1304, + "step": 1990 + }, + { + "epoch": 0.91, + "grad_norm": 0.19612024562925534, + "learning_rate": 1.9780700363314253e-05, + "loss": 2.2905, + "step": 1991 + }, + { + "epoch": 0.91, + "grad_norm": 0.19556413541453066, + "learning_rate": 1.957439619805196e-05, + "loss": 2.1391, + "step": 1992 + }, + { + "epoch": 0.91, + "grad_norm": 0.19209113008189557, + "learning_rate": 1.9369152030840554e-05, + "loss": 2.2448, + "step": 1993 + }, + { + "epoch": 0.91, + "grad_norm": 0.18751244063533964, + "learning_rate": 1.916496831452552e-05, + "loss": 2.2361, + "step": 1994 + }, + { + "epoch": 0.91, + "grad_norm": 0.19187763370449215, + "learning_rate": 1.8961845499611998e-05, + "loss": 2.2454, + "step": 1995 + }, + { + "epoch": 0.92, + "grad_norm": 0.20455863432545388, + "learning_rate": 1.8759784034264925e-05, + "loss": 2.1975, + "step": 1996 + }, + { + "epoch": 0.92, + "grad_norm": 0.1853286827226229, + "learning_rate": 1.855878436430708e-05, + "loss": 2.142, + "step": 1997 + }, + { + "epoch": 0.92, + "grad_norm": 0.19312026744014948, + "learning_rate": 1.835884693321871e-05, + "loss": 2.1713, + "step": 1998 + }, + { + "epoch": 0.92, + "grad_norm": 0.19252971065582783, + "learning_rate": 1.8159972182136386e-05, + "loss": 2.1235, + "step": 1999 + }, + { + "epoch": 0.92, + "grad_norm": 0.33114500484963694, + "learning_rate": 1.7962160549851945e-05, + "loss": 2.2087, + "step": 2000 + }, + { + "epoch": 0.92, + "grad_norm": 0.21921616924700024, + "learning_rate": 1.776541247281177e-05, + "loss": 2.1372, + "step": 2001 + }, + { + "epoch": 0.92, + "grad_norm": 0.19012941654090756, + "learning_rate": 1.7569728385115224e-05, + "loss": 2.0686, + "step": 2002 + }, + { + "epoch": 0.92, + "grad_norm": 0.19655146436767246, + "learning_rate": 1.7375108718514665e-05, + "loss": 2.1836, + "step": 2003 + }, + { + "epoch": 0.92, + "grad_norm": 0.20110724467803348, + "learning_rate": 1.7181553902413438e-05, + "loss": 2.153, + "step": 2004 + }, + { + "epoch": 0.92, + "grad_norm": 0.1942797000691788, + "learning_rate": 1.698906436386577e-05, + "loss": 2.1477, + "step": 2005 + }, + { + "epoch": 0.92, + "grad_norm": 0.1891071110101527, + "learning_rate": 1.679764052757532e-05, + "loss": 2.1255, + "step": 2006 + }, + { + "epoch": 0.92, + "grad_norm": 0.2170093693354212, + "learning_rate": 1.6607282815894464e-05, + "loss": 2.1107, + "step": 2007 + }, + { + "epoch": 0.92, + "grad_norm": 0.19286216104030646, + "learning_rate": 1.6417991648823405e-05, + "loss": 2.2312, + "step": 2008 + }, + { + "epoch": 0.92, + "grad_norm": 0.205173395238311, + "learning_rate": 1.6229767444008835e-05, + "loss": 2.1098, + "step": 2009 + }, + { + "epoch": 0.92, + "grad_norm": 0.1981955010333475, + "learning_rate": 1.604261061674378e-05, + "loss": 2.2001, + "step": 2010 + }, + { + "epoch": 0.92, + "grad_norm": 0.2069598551103229, + "learning_rate": 1.5856521579965865e-05, + "loss": 2.2153, + "step": 2011 + }, + { + "epoch": 0.92, + "grad_norm": 0.19260963093953506, + "learning_rate": 1.5671500744256938e-05, + "loss": 2.0238, + "step": 2012 + }, + { + "epoch": 0.92, + "grad_norm": 0.19701925963760566, + "learning_rate": 1.5487548517841953e-05, + "loss": 2.2616, + "step": 2013 + }, + { + "epoch": 0.92, + "grad_norm": 0.20101777943736646, + "learning_rate": 1.530466530658814e-05, + "loss": 2.1451, + "step": 2014 + }, + { + "epoch": 0.92, + "grad_norm": 0.19404024047867283, + "learning_rate": 1.5122851514004054e-05, + "loss": 2.1685, + "step": 2015 + }, + { + "epoch": 0.92, + "grad_norm": 0.19723895213031353, + "learning_rate": 1.4942107541238703e-05, + "loss": 2.1524, + "step": 2016 + }, + { + "epoch": 0.92, + "grad_norm": 0.21154888915051387, + "learning_rate": 1.4762433787080809e-05, + "loss": 2.2019, + "step": 2017 + }, + { + "epoch": 0.93, + "grad_norm": 0.1947307519730949, + "learning_rate": 1.4583830647957541e-05, + "loss": 2.2779, + "step": 2018 + }, + { + "epoch": 0.93, + "grad_norm": 0.20203760047354097, + "learning_rate": 1.4406298517934068e-05, + "loss": 2.2577, + "step": 2019 + }, + { + "epoch": 0.93, + "grad_norm": 0.19348372488895035, + "learning_rate": 1.4229837788712562e-05, + "loss": 2.2309, + "step": 2020 + }, + { + "epoch": 0.93, + "grad_norm": 0.20412188871083298, + "learning_rate": 1.4054448849631085e-05, + "loss": 2.2145, + "step": 2021 + }, + { + "epoch": 0.93, + "grad_norm": 0.20275106138522248, + "learning_rate": 1.3880132087663145e-05, + "loss": 2.1992, + "step": 2022 + }, + { + "epoch": 0.93, + "grad_norm": 0.18848634444128004, + "learning_rate": 1.3706887887416419e-05, + "loss": 2.1111, + "step": 2023 + }, + { + "epoch": 0.93, + "grad_norm": 0.1950374091505675, + "learning_rate": 1.3534716631132316e-05, + "loss": 2.124, + "step": 2024 + }, + { + "epoch": 0.93, + "grad_norm": 0.1980610734894286, + "learning_rate": 1.3363618698684853e-05, + "loss": 2.1667, + "step": 2025 + }, + { + "epoch": 0.93, + "grad_norm": 0.20403693275685497, + "learning_rate": 1.3193594467579728e-05, + "loss": 2.1501, + "step": 2026 + }, + { + "epoch": 0.93, + "grad_norm": 0.1875024155918712, + "learning_rate": 1.3024644312954026e-05, + "loss": 2.1538, + "step": 2027 + }, + { + "epoch": 0.93, + "grad_norm": 0.22049484051797572, + "learning_rate": 1.2856768607574564e-05, + "loss": 2.15, + "step": 2028 + }, + { + "epoch": 0.93, + "grad_norm": 0.1825459604626624, + "learning_rate": 1.2689967721837947e-05, + "loss": 2.1531, + "step": 2029 + }, + { + "epoch": 0.93, + "grad_norm": 0.2096288210912088, + "learning_rate": 1.2524242023769006e-05, + "loss": 2.0841, + "step": 2030 + }, + { + "epoch": 0.93, + "grad_norm": 0.18540237027527212, + "learning_rate": 1.2359591879020526e-05, + "loss": 2.206, + "step": 2031 + }, + { + "epoch": 0.93, + "grad_norm": 0.2309550219168011, + "learning_rate": 1.2196017650872081e-05, + "loss": 2.1261, + "step": 2032 + }, + { + "epoch": 0.93, + "grad_norm": 0.1860902171012852, + "learning_rate": 1.2033519700229367e-05, + "loss": 2.2473, + "step": 2033 + }, + { + "epoch": 0.93, + "grad_norm": 0.20046705856995362, + "learning_rate": 1.1872098385623586e-05, + "loss": 2.1723, + "step": 2034 + }, + { + "epoch": 0.93, + "grad_norm": 0.20482532684124266, + "learning_rate": 1.1711754063210289e-05, + "loss": 2.1784, + "step": 2035 + }, + { + "epoch": 0.93, + "grad_norm": 0.2187139674223324, + "learning_rate": 1.155248708676887e-05, + "loss": 2.1451, + "step": 2036 + }, + { + "epoch": 0.93, + "grad_norm": 0.19393108346645146, + "learning_rate": 1.1394297807701737e-05, + "loss": 2.2221, + "step": 2037 + }, + { + "epoch": 0.93, + "grad_norm": 0.2282910523870032, + "learning_rate": 1.1237186575033254e-05, + "loss": 2.1543, + "step": 2038 + }, + { + "epoch": 0.93, + "grad_norm": 0.20548067942247925, + "learning_rate": 1.1081153735409522e-05, + "loss": 2.2179, + "step": 2039 + }, + { + "epoch": 0.94, + "grad_norm": 0.19971225488982752, + "learning_rate": 1.0926199633097156e-05, + "loss": 2.1512, + "step": 2040 + }, + { + "epoch": 0.94, + "grad_norm": 0.18659223958085702, + "learning_rate": 1.0772324609982787e-05, + "loss": 2.1873, + "step": 2041 + }, + { + "epoch": 0.94, + "grad_norm": 0.19303822054027964, + "learning_rate": 1.0619529005571893e-05, + "loss": 2.1571, + "step": 2042 + }, + { + "epoch": 0.94, + "grad_norm": 0.1884339440639785, + "learning_rate": 1.0467813156988748e-05, + "loss": 2.1396, + "step": 2043 + }, + { + "epoch": 0.94, + "grad_norm": 0.1918076845717858, + "learning_rate": 1.0317177398975031e-05, + "loss": 2.1823, + "step": 2044 + }, + { + "epoch": 0.94, + "grad_norm": 0.1879511613649959, + "learning_rate": 1.0167622063889326e-05, + "loss": 2.2193, + "step": 2045 + }, + { + "epoch": 0.94, + "grad_norm": 0.19511193646995698, + "learning_rate": 1.0019147481706625e-05, + "loss": 2.1675, + "step": 2046 + }, + { + "epoch": 0.94, + "grad_norm": 0.1912134356420688, + "learning_rate": 9.871753980017051e-06, + "loss": 2.2016, + "step": 2047 + }, + { + "epoch": 0.94, + "grad_norm": 0.19656688625405103, + "learning_rate": 9.725441884025855e-06, + "loss": 2.0808, + "step": 2048 + }, + { + "epoch": 0.94, + "grad_norm": 0.18858274058121444, + "learning_rate": 9.580211516551862e-06, + "loss": 2.2434, + "step": 2049 + }, + { + "epoch": 0.94, + "grad_norm": 0.2061849735006877, + "learning_rate": 9.436063198027589e-06, + "loss": 2.1201, + "step": 2050 + }, + { + "epoch": 0.94, + "grad_norm": 0.2080860279532561, + "learning_rate": 9.292997246497959e-06, + "loss": 2.1285, + "step": 2051 + }, + { + "epoch": 0.94, + "grad_norm": 0.19466607767495836, + "learning_rate": 9.151013977619693e-06, + "loss": 2.2615, + "step": 2052 + }, + { + "epoch": 0.94, + "grad_norm": 0.2039045666200661, + "learning_rate": 9.010113704661038e-06, + "loss": 2.1697, + "step": 2053 + }, + { + "epoch": 0.94, + "grad_norm": 0.24723047297594025, + "learning_rate": 8.870296738500316e-06, + "loss": 2.2283, + "step": 2054 + }, + { + "epoch": 0.94, + "grad_norm": 0.1871069223455371, + "learning_rate": 8.731563387626095e-06, + "loss": 2.1561, + "step": 2055 + }, + { + "epoch": 0.94, + "grad_norm": 0.19282128174545868, + "learning_rate": 8.59391395813569e-06, + "loss": 2.1445, + "step": 2056 + }, + { + "epoch": 0.94, + "grad_norm": 0.19370877413321544, + "learning_rate": 8.457348753735328e-06, + "loss": 2.2292, + "step": 2057 + }, + { + "epoch": 0.94, + "grad_norm": 0.19454351853028562, + "learning_rate": 8.321868075738593e-06, + "loss": 2.1805, + "step": 2058 + }, + { + "epoch": 0.94, + "grad_norm": 0.20540528006645054, + "learning_rate": 8.187472223066371e-06, + "loss": 2.2358, + "step": 2059 + }, + { + "epoch": 0.94, + "grad_norm": 0.1888830282951952, + "learning_rate": 8.054161492246136e-06, + "loss": 2.1635, + "step": 2060 + }, + { + "epoch": 0.94, + "grad_norm": 0.25498811129545057, + "learning_rate": 7.921936177411049e-06, + "loss": 2.2323, + "step": 2061 + }, + { + "epoch": 0.95, + "grad_norm": 0.2113278323148511, + "learning_rate": 7.790796570299463e-06, + "loss": 2.0849, + "step": 2062 + }, + { + "epoch": 0.95, + "grad_norm": 0.2775332652026939, + "learning_rate": 7.660742960254207e-06, + "loss": 2.2149, + "step": 2063 + }, + { + "epoch": 0.95, + "grad_norm": 0.18903080172632977, + "learning_rate": 7.531775634222138e-06, + "loss": 2.0931, + "step": 2064 + }, + { + "epoch": 0.95, + "grad_norm": 0.1919165792825485, + "learning_rate": 7.403894876753192e-06, + "loss": 2.1333, + "step": 2065 + }, + { + "epoch": 0.95, + "grad_norm": 0.20763809115738863, + "learning_rate": 7.277100970000061e-06, + "loss": 2.192, + "step": 2066 + }, + { + "epoch": 0.95, + "grad_norm": 0.18955348581369685, + "learning_rate": 7.151394193717408e-06, + "loss": 2.12, + "step": 2067 + }, + { + "epoch": 0.95, + "grad_norm": 0.18328044779973232, + "learning_rate": 7.026774825261151e-06, + "loss": 2.1856, + "step": 2068 + }, + { + "epoch": 0.95, + "grad_norm": 0.1751543879896552, + "learning_rate": 6.903243139588233e-06, + "loss": 2.0948, + "step": 2069 + }, + { + "epoch": 0.95, + "grad_norm": 0.19257414335085654, + "learning_rate": 6.780799409255522e-06, + "loss": 2.1193, + "step": 2070 + }, + { + "epoch": 0.95, + "grad_norm": 0.2032283100932146, + "learning_rate": 6.659443904419637e-06, + "loss": 2.365, + "step": 2071 + }, + { + "epoch": 0.95, + "grad_norm": 0.1901335731900858, + "learning_rate": 6.539176892836008e-06, + "loss": 2.2127, + "step": 2072 + }, + { + "epoch": 0.95, + "grad_norm": 0.1830822410232406, + "learning_rate": 6.4199986398585375e-06, + "loss": 2.2466, + "step": 2073 + }, + { + "epoch": 0.95, + "grad_norm": 0.19127275389743414, + "learning_rate": 6.3019094084388884e-06, + "loss": 2.1827, + "step": 2074 + }, + { + "epoch": 0.95, + "grad_norm": 0.18726510950164066, + "learning_rate": 6.18490945912592e-06, + "loss": 2.2055, + "step": 2075 + }, + { + "epoch": 0.95, + "grad_norm": 0.22584349296502365, + "learning_rate": 6.068999050065249e-06, + "loss": 2.203, + "step": 2076 + }, + { + "epoch": 0.95, + "grad_norm": 0.19956677967305267, + "learning_rate": 5.9541784369983586e-06, + "loss": 2.1919, + "step": 2077 + }, + { + "epoch": 0.95, + "grad_norm": 0.20067286258465994, + "learning_rate": 5.840447873262433e-06, + "loss": 2.2103, + "step": 2078 + }, + { + "epoch": 0.95, + "grad_norm": 0.23129609567199327, + "learning_rate": 5.727807609789471e-06, + "loss": 2.1047, + "step": 2079 + }, + { + "epoch": 0.95, + "grad_norm": 0.20171431506497148, + "learning_rate": 5.616257895105892e-06, + "loss": 2.1326, + "step": 2080 + }, + { + "epoch": 0.95, + "grad_norm": 0.19486933048017996, + "learning_rate": 5.505798975331933e-06, + "loss": 2.2657, + "step": 2081 + }, + { + "epoch": 0.95, + "grad_norm": 0.21593627074979774, + "learning_rate": 5.396431094181198e-06, + "loss": 2.2251, + "step": 2082 + }, + { + "epoch": 0.96, + "grad_norm": 0.23641825745444192, + "learning_rate": 5.288154492960107e-06, + "loss": 2.241, + "step": 2083 + }, + { + "epoch": 0.96, + "grad_norm": 0.18691229164519382, + "learning_rate": 5.1809694105671155e-06, + "loss": 2.2606, + "step": 2084 + }, + { + "epoch": 0.96, + "grad_norm": 0.1921254091290113, + "learning_rate": 5.074876083492441e-06, + "loss": 2.1476, + "step": 2085 + }, + { + "epoch": 0.96, + "grad_norm": 0.1889631408149205, + "learning_rate": 4.96987474581767e-06, + "loss": 2.2383, + "step": 2086 + }, + { + "epoch": 0.96, + "grad_norm": 0.18570516765200648, + "learning_rate": 4.865965629214819e-06, + "loss": 2.0722, + "step": 2087 + }, + { + "epoch": 0.96, + "grad_norm": 0.17649910697872934, + "learning_rate": 4.763148962946218e-06, + "loss": 2.1595, + "step": 2088 + }, + { + "epoch": 0.96, + "grad_norm": 0.2099212550584415, + "learning_rate": 4.661424973863681e-06, + "loss": 2.1306, + "step": 2089 + }, + { + "epoch": 0.96, + "grad_norm": 0.18869501286940418, + "learning_rate": 4.560793886408398e-06, + "loss": 2.2137, + "step": 2090 + }, + { + "epoch": 0.96, + "grad_norm": 0.20169776238862558, + "learning_rate": 4.461255922609986e-06, + "loss": 2.2509, + "step": 2091 + }, + { + "epoch": 0.96, + "grad_norm": 0.21619108989468952, + "learning_rate": 4.362811302086267e-06, + "loss": 2.2517, + "step": 2092 + }, + { + "epoch": 0.96, + "grad_norm": 0.20771470044218263, + "learning_rate": 4.265460242042885e-06, + "loss": 2.1139, + "step": 2093 + }, + { + "epoch": 0.96, + "grad_norm": 0.19972908253861982, + "learning_rate": 4.169202957272522e-06, + "loss": 2.1752, + "step": 2094 + }, + { + "epoch": 0.96, + "grad_norm": 0.19957327839708133, + "learning_rate": 4.074039660154738e-06, + "loss": 2.1985, + "step": 2095 + }, + { + "epoch": 0.96, + "grad_norm": 0.19883606882050645, + "learning_rate": 3.9799705606551325e-06, + "loss": 2.2758, + "step": 2096 + }, + { + "epoch": 0.96, + "grad_norm": 0.20808595260955495, + "learning_rate": 3.886995866325294e-06, + "loss": 2.113, + "step": 2097 + }, + { + "epoch": 0.96, + "grad_norm": 0.1894819161544858, + "learning_rate": 3.795115782302072e-06, + "loss": 2.2941, + "step": 2098 + }, + { + "epoch": 0.96, + "grad_norm": 0.18966916999933695, + "learning_rate": 3.704330511307197e-06, + "loss": 2.1239, + "step": 2099 + }, + { + "epoch": 0.96, + "grad_norm": 0.21555008905562795, + "learning_rate": 3.614640253646828e-06, + "loss": 2.1663, + "step": 2100 + }, + { + "epoch": 0.96, + "grad_norm": 0.19513533608743058, + "learning_rate": 3.5260452072110594e-06, + "loss": 2.2996, + "step": 2101 + }, + { + "epoch": 0.96, + "grad_norm": 0.2523173585943737, + "learning_rate": 3.4385455674737498e-06, + "loss": 2.1433, + "step": 2102 + }, + { + "epoch": 0.96, + "grad_norm": 0.19230225924480368, + "learning_rate": 3.3521415274915256e-06, + "loss": 2.2118, + "step": 2103 + }, + { + "epoch": 0.96, + "grad_norm": 0.19152261302246, + "learning_rate": 3.2668332779041133e-06, + "loss": 2.1712, + "step": 2104 + }, + { + "epoch": 0.97, + "grad_norm": 0.18578534899639837, + "learning_rate": 3.1826210069332838e-06, + "loss": 2.1601, + "step": 2105 + }, + { + "epoch": 0.97, + "grad_norm": 0.20699721862798706, + "learning_rate": 3.0995049003826324e-06, + "loss": 2.1755, + "step": 2106 + }, + { + "epoch": 0.97, + "grad_norm": 0.1992680098851376, + "learning_rate": 3.017485141637355e-06, + "loss": 2.1091, + "step": 2107 + }, + { + "epoch": 0.97, + "grad_norm": 0.19970589910061495, + "learning_rate": 2.9365619116636376e-06, + "loss": 2.2035, + "step": 2108 + }, + { + "epoch": 0.97, + "grad_norm": 0.19131702011255383, + "learning_rate": 2.856735389008269e-06, + "loss": 2.1642, + "step": 2109 + }, + { + "epoch": 0.97, + "grad_norm": 0.2091099076513038, + "learning_rate": 2.778005749798307e-06, + "loss": 2.1523, + "step": 2110 + }, + { + "epoch": 0.97, + "grad_norm": 0.20417045585748392, + "learning_rate": 2.700373167740744e-06, + "loss": 2.163, + "step": 2111 + }, + { + "epoch": 0.97, + "grad_norm": 0.20007450741266897, + "learning_rate": 2.62383781412201e-06, + "loss": 2.1222, + "step": 2112 + }, + { + "epoch": 0.97, + "grad_norm": 0.1987948992709418, + "learning_rate": 2.5483998578076373e-06, + "loss": 2.0882, + "step": 2113 + }, + { + "epoch": 0.97, + "grad_norm": 0.18181097162034857, + "learning_rate": 2.4740594652418736e-06, + "loss": 2.0758, + "step": 2114 + }, + { + "epoch": 0.97, + "grad_norm": 0.20301242155231014, + "learning_rate": 2.4008168004472917e-06, + "loss": 2.1441, + "step": 2115 + }, + { + "epoch": 0.97, + "grad_norm": 0.2032301846008531, + "learning_rate": 2.3286720250246253e-06, + "loss": 2.147, + "step": 2116 + }, + { + "epoch": 0.97, + "grad_norm": 0.20544452243777264, + "learning_rate": 2.2576252981520994e-06, + "loss": 2.106, + "step": 2117 + }, + { + "epoch": 0.97, + "grad_norm": 0.2068995093228831, + "learning_rate": 2.1876767765853233e-06, + "loss": 2.1379, + "step": 2118 + }, + { + "epoch": 0.97, + "grad_norm": 0.19580164526399707, + "learning_rate": 2.118826614656788e-06, + "loss": 2.1396, + "step": 2119 + }, + { + "epoch": 0.97, + "grad_norm": 0.18186058111208828, + "learning_rate": 2.051074964275701e-06, + "loss": 2.1983, + "step": 2120 + }, + { + "epoch": 0.97, + "grad_norm": 0.1838385133269049, + "learning_rate": 1.984421974927375e-06, + "loss": 2.1144, + "step": 2121 + }, + { + "epoch": 0.97, + "grad_norm": 0.1916877246486266, + "learning_rate": 1.9188677936731734e-06, + "loss": 2.1611, + "step": 2122 + }, + { + "epoch": 0.97, + "grad_norm": 0.18554331794605056, + "learning_rate": 1.8544125651501208e-06, + "loss": 2.2233, + "step": 2123 + }, + { + "epoch": 0.97, + "grad_norm": 0.19093714451069582, + "learning_rate": 1.7910564315704035e-06, + "loss": 2.1864, + "step": 2124 + }, + { + "epoch": 0.97, + "grad_norm": 0.19972965700226353, + "learning_rate": 1.7287995327214257e-06, + "loss": 2.156, + "step": 2125 + }, + { + "epoch": 0.97, + "grad_norm": 0.19739820613325956, + "learning_rate": 1.6676420059649754e-06, + "loss": 2.1547, + "step": 2126 + }, + { + "epoch": 0.98, + "grad_norm": 0.21596054472451073, + "learning_rate": 1.6075839862374485e-06, + "loss": 2.1517, + "step": 2127 + }, + { + "epoch": 0.98, + "grad_norm": 0.19737953667045977, + "learning_rate": 1.5486256060492366e-06, + "loss": 2.2091, + "step": 2128 + }, + { + "epoch": 0.98, + "grad_norm": 0.19934670093801882, + "learning_rate": 1.4907669954844495e-06, + "loss": 2.1902, + "step": 2129 + }, + { + "epoch": 0.98, + "grad_norm": 0.2057176331862614, + "learning_rate": 1.434008282200805e-06, + "loss": 2.0593, + "step": 2130 + }, + { + "epoch": 0.98, + "grad_norm": 0.2080553688250285, + "learning_rate": 1.3783495914291844e-06, + "loss": 2.1453, + "step": 2131 + }, + { + "epoch": 0.98, + "grad_norm": 0.19914143735690726, + "learning_rate": 1.3237910459734104e-06, + "loss": 2.233, + "step": 2132 + }, + { + "epoch": 0.98, + "grad_norm": 0.22979860331370242, + "learning_rate": 1.270332766210025e-06, + "loss": 2.1735, + "step": 2133 + }, + { + "epoch": 0.98, + "grad_norm": 0.19289931128356794, + "learning_rate": 1.2179748700879012e-06, + "loss": 2.1888, + "step": 2134 + }, + { + "epoch": 0.98, + "grad_norm": 0.22941647849578664, + "learning_rate": 1.1667174731280205e-06, + "loss": 2.2537, + "step": 2135 + }, + { + "epoch": 0.98, + "grad_norm": 0.2009315236826002, + "learning_rate": 1.1165606884234182e-06, + "loss": 2.2183, + "step": 2136 + }, + { + "epoch": 0.98, + "grad_norm": 0.18355656786725322, + "learning_rate": 1.0675046266386268e-06, + "loss": 2.196, + "step": 2137 + }, + { + "epoch": 0.98, + "grad_norm": 0.19148086396910793, + "learning_rate": 1.019549396009567e-06, + "loss": 2.1516, + "step": 2138 + }, + { + "epoch": 0.98, + "grad_norm": 0.19402210604911022, + "learning_rate": 9.726951023434348e-07, + "loss": 2.2103, + "step": 2139 + }, + { + "epoch": 0.98, + "grad_norm": 0.18056688474285934, + "learning_rate": 9.269418490182591e-07, + "loss": 2.1522, + "step": 2140 + }, + { + "epoch": 0.98, + "grad_norm": 0.19810340509218416, + "learning_rate": 8.822897369827332e-07, + "loss": 2.2411, + "step": 2141 + }, + { + "epoch": 0.98, + "grad_norm": 0.20897103240974127, + "learning_rate": 8.387388647561611e-07, + "loss": 2.1462, + "step": 2142 + }, + { + "epoch": 0.98, + "grad_norm": 0.21112426223430172, + "learning_rate": 7.962893284279016e-07, + "loss": 2.1869, + "step": 2143 + }, + { + "epoch": 0.98, + "grad_norm": 0.1908637158993216, + "learning_rate": 7.549412216574791e-07, + "loss": 2.2562, + "step": 2144 + }, + { + "epoch": 0.98, + "grad_norm": 0.22542434179114795, + "learning_rate": 7.146946356743067e-07, + "loss": 2.131, + "step": 2145 + }, + { + "epoch": 0.98, + "grad_norm": 0.19572774300812076, + "learning_rate": 6.755496592773524e-07, + "loss": 2.2349, + "step": 2146 + }, + { + "epoch": 0.98, + "grad_norm": 0.19299751435300574, + "learning_rate": 6.375063788349733e-07, + "loss": 2.2702, + "step": 2147 + }, + { + "epoch": 0.98, + "grad_norm": 0.19205107148682682, + "learning_rate": 6.005648782848594e-07, + "loss": 2.276, + "step": 2148 + }, + { + "epoch": 0.99, + "grad_norm": 0.22331968774920136, + "learning_rate": 5.647252391337565e-07, + "loss": 2.1672, + "step": 2149 + }, + { + "epoch": 0.99, + "grad_norm": 0.18897163342669585, + "learning_rate": 5.299875404572441e-07, + "loss": 2.1269, + "step": 2150 + }, + { + "epoch": 0.99, + "grad_norm": 0.20127712926093394, + "learning_rate": 4.963518588996796e-07, + "loss": 2.0969, + "step": 2151 + }, + { + "epoch": 0.99, + "grad_norm": 0.20714562316330812, + "learning_rate": 4.638182686738657e-07, + "loss": 2.223, + "step": 2152 + }, + { + "epoch": 0.99, + "grad_norm": 0.23590564639677303, + "learning_rate": 4.3238684156110543e-07, + "loss": 2.1911, + "step": 2153 + }, + { + "epoch": 0.99, + "grad_norm": 0.19070247624896428, + "learning_rate": 4.020576469108139e-07, + "loss": 2.0987, + "step": 2154 + }, + { + "epoch": 0.99, + "grad_norm": 0.1819939250388134, + "learning_rate": 3.7283075164046274e-07, + "loss": 2.1798, + "step": 2155 + }, + { + "epoch": 0.99, + "grad_norm": 0.19964014107200853, + "learning_rate": 3.4470622023557995e-07, + "loss": 2.2356, + "step": 2156 + }, + { + "epoch": 0.99, + "grad_norm": 0.18279341900127724, + "learning_rate": 3.176841147492504e-07, + "loss": 2.062, + "step": 2157 + }, + { + "epoch": 0.99, + "grad_norm": 0.1957150414429896, + "learning_rate": 2.9176449480244895e-07, + "loss": 2.0838, + "step": 2158 + }, + { + "epoch": 0.99, + "grad_norm": 0.23085452732795825, + "learning_rate": 2.6694741758342967e-07, + "loss": 2.2414, + "step": 2159 + }, + { + "epoch": 0.99, + "grad_norm": 0.19089795244642885, + "learning_rate": 2.432329378478926e-07, + "loss": 2.2245, + "step": 2160 + }, + { + "epoch": 0.99, + "grad_norm": 0.20066195840208897, + "learning_rate": 2.2062110791892798e-07, + "loss": 2.2919, + "step": 2161 + }, + { + "epoch": 0.99, + "grad_norm": 0.2157511364181122, + "learning_rate": 1.9911197768662792e-07, + "loss": 2.1778, + "step": 2162 + }, + { + "epoch": 0.99, + "grad_norm": 0.19891805881025382, + "learning_rate": 1.7870559460814173e-07, + "loss": 2.1806, + "step": 2163 + }, + { + "epoch": 0.99, + "grad_norm": 0.24079538938176967, + "learning_rate": 1.5940200370750947e-07, + "loss": 2.2058, + "step": 2164 + }, + { + "epoch": 0.99, + "grad_norm": 0.21886722587155213, + "learning_rate": 1.4120124757577291e-07, + "loss": 2.2762, + "step": 2165 + }, + { + "epoch": 0.99, + "grad_norm": 0.19607844221964868, + "learning_rate": 1.2410336637047603e-07, + "loss": 2.1298, + "step": 2166 + }, + { + "epoch": 0.99, + "grad_norm": 0.18686611614232976, + "learning_rate": 1.081083978159425e-07, + "loss": 2.2318, + "step": 2167 + }, + { + "epoch": 0.99, + "grad_norm": 0.18841378167004874, + "learning_rate": 9.321637720310915e-08, + "loss": 2.2597, + "step": 2168 + }, + { + "epoch": 0.99, + "grad_norm": 0.21712361431867647, + "learning_rate": 7.942733738924845e-08, + "loss": 2.0964, + "step": 2169 + }, + { + "epoch": 0.99, + "grad_norm": 0.21578423526770352, + "learning_rate": 6.6741308798135e-08, + "loss": 2.0722, + "step": 2170 + }, + { + "epoch": 1.0, + "grad_norm": 0.21765132516734073, + "learning_rate": 5.5158319419934546e-08, + "loss": 2.2093, + "step": 2171 + }, + { + "epoch": 1.0, + "grad_norm": 0.1865658112942751, + "learning_rate": 4.4678394810981906e-08, + "loss": 2.1088, + "step": 2172 + }, + { + "epoch": 1.0, + "grad_norm": 0.19971384253638758, + "learning_rate": 3.5301558093947527e-08, + "loss": 2.1057, + "step": 2173 + }, + { + "epoch": 1.0, + "grad_norm": 0.20203706154656964, + "learning_rate": 2.7027829957559925e-08, + "loss": 2.1473, + "step": 2174 + }, + { + "epoch": 1.0, + "grad_norm": 0.1922634552480605, + "learning_rate": 1.985722865682771e-08, + "loss": 2.2618, + "step": 2175 + }, + { + "epoch": 1.0, + "grad_norm": 0.18535374714409486, + "learning_rate": 1.3789770012762048e-08, + "loss": 2.16, + "step": 2176 + }, + { + "epoch": 1.0, + "grad_norm": 0.18746212844333343, + "learning_rate": 8.825467412376665e-09, + "loss": 2.2552, + "step": 2177 + }, + { + "epoch": 1.0, + "grad_norm": 0.23552355636141623, + "learning_rate": 4.96433180879885e-09, + "loss": 2.097, + "step": 2178 + }, + { + "epoch": 1.0, + "grad_norm": 0.1997303195681656, + "learning_rate": 2.206371721158451e-09, + "loss": 2.1229, + "step": 2179 + }, + { + "epoch": 1.0, + "grad_norm": 0.21279036854422084, + "learning_rate": 5.515932345323549e-10, + "loss": 2.3312, + "step": 2180 + }, + { + "epoch": 1.0, + "grad_norm": 0.18951126699640802, + "learning_rate": 0.0, + "loss": 2.1756, + "step": 2181 + }, + { + "epoch": 1.0, + "step": 2181, + "total_flos": 209650944909312.0, + "train_loss": 2.4349290611874013, + "train_runtime": 70604.6117, + "train_samples_per_second": 7.905, + "train_steps_per_second": 0.031 + } + ], + "logging_steps": 1.0, + "max_steps": 2181, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 50000.0, + "total_flos": 209650944909312.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +}