diff --git "a/checkpoint-2372/trainer_state.json" "b/checkpoint-2372/trainer_state.json" new file mode 100644--- /dev/null +++ "b/checkpoint-2372/trainer_state.json" @@ -0,0 +1,16637 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.9998946148171567, + "eval_steps": 500, + "global_step": 2372, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.00042154073137316893, + "grad_norm": 1.554450511932373, + "learning_rate": 5.0000000000000004e-08, + "loss": 0.9124, + "step": 1 + }, + { + "epoch": 0.0008430814627463379, + "grad_norm": 1.5286387205123901, + "learning_rate": 1.0000000000000001e-07, + "loss": 0.8797, + "step": 2 + }, + { + "epoch": 0.001264622194119507, + "grad_norm": 1.5313383340835571, + "learning_rate": 1.5000000000000002e-07, + "loss": 0.9107, + "step": 3 + }, + { + "epoch": 0.0016861629254926757, + "grad_norm": 1.668462872505188, + "learning_rate": 2.0000000000000002e-07, + "loss": 0.8902, + "step": 4 + }, + { + "epoch": 0.0021077036568658445, + "grad_norm": 1.5774749517440796, + "learning_rate": 2.5000000000000004e-07, + "loss": 0.9171, + "step": 5 + }, + { + "epoch": 0.002529244388239014, + "grad_norm": 1.6463191509246826, + "learning_rate": 3.0000000000000004e-07, + "loss": 0.8578, + "step": 6 + }, + { + "epoch": 0.0029507851196121826, + "grad_norm": 1.5910251140594482, + "learning_rate": 3.5000000000000004e-07, + "loss": 0.8858, + "step": 7 + }, + { + "epoch": 0.0033723258509853514, + "grad_norm": 1.573474645614624, + "learning_rate": 4.0000000000000003e-07, + "loss": 0.8712, + "step": 8 + }, + { + "epoch": 0.0037938665823585203, + "grad_norm": 1.6730811595916748, + "learning_rate": 4.5000000000000003e-07, + "loss": 0.8757, + "step": 9 + }, + { + "epoch": 0.004215407313731689, + "grad_norm": 1.6088658571243286, + "learning_rate": 5.000000000000001e-07, + "loss": 0.9272, + "step": 10 + }, + { + "epoch": 0.004636948045104858, + "grad_norm": 1.4241929054260254, + "learning_rate": 5.5e-07, + "loss": 0.8652, + "step": 11 + }, + { + "epoch": 0.005058488776478028, + "grad_norm": 1.4424278736114502, + "learning_rate": 6.000000000000001e-07, + "loss": 0.8822, + "step": 12 + }, + { + "epoch": 0.005480029507851196, + "grad_norm": 1.4737945795059204, + "learning_rate": 6.5e-07, + "loss": 0.8871, + "step": 13 + }, + { + "epoch": 0.005901570239224365, + "grad_norm": 1.3290244340896606, + "learning_rate": 7.000000000000001e-07, + "loss": 0.8616, + "step": 14 + }, + { + "epoch": 0.006323110970597534, + "grad_norm": 1.3889096975326538, + "learning_rate": 7.5e-07, + "loss": 0.8775, + "step": 15 + }, + { + "epoch": 0.006744651701970703, + "grad_norm": 1.319577693939209, + "learning_rate": 8.000000000000001e-07, + "loss": 0.8907, + "step": 16 + }, + { + "epoch": 0.007166192433343872, + "grad_norm": 1.1662847995758057, + "learning_rate": 8.500000000000001e-07, + "loss": 0.8981, + "step": 17 + }, + { + "epoch": 0.0075877331647170405, + "grad_norm": 1.197760820388794, + "learning_rate": 9.000000000000001e-07, + "loss": 0.8417, + "step": 18 + }, + { + "epoch": 0.00800927389609021, + "grad_norm": 1.0497264862060547, + "learning_rate": 9.500000000000001e-07, + "loss": 0.8447, + "step": 19 + }, + { + "epoch": 0.008430814627463378, + "grad_norm": 1.058746337890625, + "learning_rate": 1.0000000000000002e-06, + "loss": 0.8676, + "step": 20 + }, + { + "epoch": 0.008852355358836548, + "grad_norm": 0.942598819732666, + "learning_rate": 1.0500000000000001e-06, + "loss": 0.8565, + "step": 21 + }, + { + "epoch": 0.009273896090209717, + "grad_norm": 0.9345218539237976, + "learning_rate": 1.1e-06, + "loss": 0.859, + "step": 22 + }, + { + "epoch": 0.009695436821582885, + "grad_norm": 0.8632031679153442, + "learning_rate": 1.1500000000000002e-06, + "loss": 0.8711, + "step": 23 + }, + { + "epoch": 0.010116977552956055, + "grad_norm": 0.794277012348175, + "learning_rate": 1.2000000000000002e-06, + "loss": 0.8619, + "step": 24 + }, + { + "epoch": 0.010538518284329224, + "grad_norm": 0.7953000664710999, + "learning_rate": 1.25e-06, + "loss": 0.8261, + "step": 25 + }, + { + "epoch": 0.010960059015702392, + "grad_norm": 0.7987999320030212, + "learning_rate": 1.3e-06, + "loss": 0.843, + "step": 26 + }, + { + "epoch": 0.01138159974707556, + "grad_norm": 0.7570469975471497, + "learning_rate": 1.3500000000000002e-06, + "loss": 0.8293, + "step": 27 + }, + { + "epoch": 0.01180314047844873, + "grad_norm": 0.7138553857803345, + "learning_rate": 1.4000000000000001e-06, + "loss": 0.8295, + "step": 28 + }, + { + "epoch": 0.012224681209821899, + "grad_norm": 0.6718113422393799, + "learning_rate": 1.45e-06, + "loss": 0.8251, + "step": 29 + }, + { + "epoch": 0.012646221941195067, + "grad_norm": 0.6300117373466492, + "learning_rate": 1.5e-06, + "loss": 0.7955, + "step": 30 + }, + { + "epoch": 0.013067762672568237, + "grad_norm": 0.6070649027824402, + "learning_rate": 1.5500000000000002e-06, + "loss": 0.7859, + "step": 31 + }, + { + "epoch": 0.013489303403941406, + "grad_norm": 0.5400272011756897, + "learning_rate": 1.6000000000000001e-06, + "loss": 0.7935, + "step": 32 + }, + { + "epoch": 0.013910844135314574, + "grad_norm": 0.5371619462966919, + "learning_rate": 1.6500000000000003e-06, + "loss": 0.8271, + "step": 33 + }, + { + "epoch": 0.014332384866687744, + "grad_norm": 0.48049041628837585, + "learning_rate": 1.7000000000000002e-06, + "loss": 0.7997, + "step": 34 + }, + { + "epoch": 0.014753925598060913, + "grad_norm": 0.47074759006500244, + "learning_rate": 1.75e-06, + "loss": 0.789, + "step": 35 + }, + { + "epoch": 0.015175466329434081, + "grad_norm": 0.4344562292098999, + "learning_rate": 1.8000000000000001e-06, + "loss": 0.7876, + "step": 36 + }, + { + "epoch": 0.015597007060807251, + "grad_norm": 0.4061878025531769, + "learning_rate": 1.85e-06, + "loss": 0.777, + "step": 37 + }, + { + "epoch": 0.01601854779218042, + "grad_norm": 0.39230242371559143, + "learning_rate": 1.9000000000000002e-06, + "loss": 0.8033, + "step": 38 + }, + { + "epoch": 0.016440088523553588, + "grad_norm": 0.3969016373157501, + "learning_rate": 1.9500000000000004e-06, + "loss": 0.7837, + "step": 39 + }, + { + "epoch": 0.016861629254926756, + "grad_norm": 0.3729524612426758, + "learning_rate": 2.0000000000000003e-06, + "loss": 0.7795, + "step": 40 + }, + { + "epoch": 0.017283169986299925, + "grad_norm": 0.3697626292705536, + "learning_rate": 2.05e-06, + "loss": 0.7919, + "step": 41 + }, + { + "epoch": 0.017704710717673097, + "grad_norm": 0.34239786863327026, + "learning_rate": 2.1000000000000002e-06, + "loss": 0.7544, + "step": 42 + }, + { + "epoch": 0.018126251449046265, + "grad_norm": 0.36224567890167236, + "learning_rate": 2.15e-06, + "loss": 0.7769, + "step": 43 + }, + { + "epoch": 0.018547792180419433, + "grad_norm": 0.3495021462440491, + "learning_rate": 2.2e-06, + "loss": 0.746, + "step": 44 + }, + { + "epoch": 0.0189693329117926, + "grad_norm": 0.33883053064346313, + "learning_rate": 2.25e-06, + "loss": 0.77, + "step": 45 + }, + { + "epoch": 0.01939087364316577, + "grad_norm": 0.30793020129203796, + "learning_rate": 2.3000000000000004e-06, + "loss": 0.7325, + "step": 46 + }, + { + "epoch": 0.01981241437453894, + "grad_norm": 0.31899771094322205, + "learning_rate": 2.35e-06, + "loss": 0.7739, + "step": 47 + }, + { + "epoch": 0.02023395510591211, + "grad_norm": 0.31002360582351685, + "learning_rate": 2.4000000000000003e-06, + "loss": 0.7711, + "step": 48 + }, + { + "epoch": 0.02065549583728528, + "grad_norm": 0.29887646436691284, + "learning_rate": 2.4500000000000003e-06, + "loss": 0.7484, + "step": 49 + }, + { + "epoch": 0.021077036568658447, + "grad_norm": 0.2904997766017914, + "learning_rate": 2.5e-06, + "loss": 0.755, + "step": 50 + }, + { + "epoch": 0.021498577300031615, + "grad_norm": 0.2875346541404724, + "learning_rate": 2.55e-06, + "loss": 0.7764, + "step": 51 + }, + { + "epoch": 0.021920118031404784, + "grad_norm": 0.2731809914112091, + "learning_rate": 2.6e-06, + "loss": 0.7518, + "step": 52 + }, + { + "epoch": 0.022341658762777952, + "grad_norm": 0.25800859928131104, + "learning_rate": 2.6500000000000005e-06, + "loss": 0.7376, + "step": 53 + }, + { + "epoch": 0.02276319949415112, + "grad_norm": 0.2637141942977905, + "learning_rate": 2.7000000000000004e-06, + "loss": 0.7376, + "step": 54 + }, + { + "epoch": 0.023184740225524293, + "grad_norm": 0.2621852457523346, + "learning_rate": 2.7500000000000004e-06, + "loss": 0.7443, + "step": 55 + }, + { + "epoch": 0.02360628095689746, + "grad_norm": 0.24826474487781525, + "learning_rate": 2.8000000000000003e-06, + "loss": 0.7312, + "step": 56 + }, + { + "epoch": 0.02402782168827063, + "grad_norm": 0.2539840340614319, + "learning_rate": 2.85e-06, + "loss": 0.7306, + "step": 57 + }, + { + "epoch": 0.024449362419643798, + "grad_norm": 0.25040122866630554, + "learning_rate": 2.9e-06, + "loss": 0.7192, + "step": 58 + }, + { + "epoch": 0.024870903151016966, + "grad_norm": 0.23641498386859894, + "learning_rate": 2.95e-06, + "loss": 0.7518, + "step": 59 + }, + { + "epoch": 0.025292443882390134, + "grad_norm": 0.2318529635667801, + "learning_rate": 3e-06, + "loss": 0.7407, + "step": 60 + }, + { + "epoch": 0.025713984613763306, + "grad_norm": 0.22770705819129944, + "learning_rate": 3.05e-06, + "loss": 0.7297, + "step": 61 + }, + { + "epoch": 0.026135525345136475, + "grad_norm": 0.22948750853538513, + "learning_rate": 3.1000000000000004e-06, + "loss": 0.7299, + "step": 62 + }, + { + "epoch": 0.026557066076509643, + "grad_norm": 0.2390872687101364, + "learning_rate": 3.1500000000000003e-06, + "loss": 0.7325, + "step": 63 + }, + { + "epoch": 0.02697860680788281, + "grad_norm": 0.2283066362142563, + "learning_rate": 3.2000000000000003e-06, + "loss": 0.7297, + "step": 64 + }, + { + "epoch": 0.02740014753925598, + "grad_norm": 0.2239808738231659, + "learning_rate": 3.2500000000000002e-06, + "loss": 0.7686, + "step": 65 + }, + { + "epoch": 0.027821688270629148, + "grad_norm": 0.21871443092823029, + "learning_rate": 3.3000000000000006e-06, + "loss": 0.7136, + "step": 66 + }, + { + "epoch": 0.02824322900200232, + "grad_norm": 0.2268369197845459, + "learning_rate": 3.3500000000000005e-06, + "loss": 0.7636, + "step": 67 + }, + { + "epoch": 0.02866476973337549, + "grad_norm": 0.25275668501853943, + "learning_rate": 3.4000000000000005e-06, + "loss": 0.777, + "step": 68 + }, + { + "epoch": 0.029086310464748657, + "grad_norm": 0.22813616693019867, + "learning_rate": 3.45e-06, + "loss": 0.7453, + "step": 69 + }, + { + "epoch": 0.029507851196121825, + "grad_norm": 0.22262635827064514, + "learning_rate": 3.5e-06, + "loss": 0.76, + "step": 70 + }, + { + "epoch": 0.029929391927494994, + "grad_norm": 0.20812402665615082, + "learning_rate": 3.5500000000000003e-06, + "loss": 0.7437, + "step": 71 + }, + { + "epoch": 0.030350932658868162, + "grad_norm": 0.20619122684001923, + "learning_rate": 3.6000000000000003e-06, + "loss": 0.7258, + "step": 72 + }, + { + "epoch": 0.03077247339024133, + "grad_norm": 0.20562823116779327, + "learning_rate": 3.65e-06, + "loss": 0.7273, + "step": 73 + }, + { + "epoch": 0.031194014121614502, + "grad_norm": 0.1989251971244812, + "learning_rate": 3.7e-06, + "loss": 0.7462, + "step": 74 + }, + { + "epoch": 0.03161555485298767, + "grad_norm": 0.20220854878425598, + "learning_rate": 3.7500000000000005e-06, + "loss": 0.7316, + "step": 75 + }, + { + "epoch": 0.03203709558436084, + "grad_norm": 0.19772911071777344, + "learning_rate": 3.8000000000000005e-06, + "loss": 0.7414, + "step": 76 + }, + { + "epoch": 0.03245863631573401, + "grad_norm": 0.19900061190128326, + "learning_rate": 3.85e-06, + "loss": 0.6924, + "step": 77 + }, + { + "epoch": 0.032880177047107176, + "grad_norm": 0.18977713584899902, + "learning_rate": 3.900000000000001e-06, + "loss": 0.7117, + "step": 78 + }, + { + "epoch": 0.033301717778480344, + "grad_norm": 0.19983789324760437, + "learning_rate": 3.95e-06, + "loss": 0.7174, + "step": 79 + }, + { + "epoch": 0.03372325850985351, + "grad_norm": 0.1869533509016037, + "learning_rate": 4.000000000000001e-06, + "loss": 0.75, + "step": 80 + }, + { + "epoch": 0.03414479924122668, + "grad_norm": 0.1975327730178833, + "learning_rate": 4.05e-06, + "loss": 0.7586, + "step": 81 + }, + { + "epoch": 0.03456633997259985, + "grad_norm": 0.18499982357025146, + "learning_rate": 4.1e-06, + "loss": 0.7194, + "step": 82 + }, + { + "epoch": 0.034987880703973025, + "grad_norm": 0.1828499436378479, + "learning_rate": 4.15e-06, + "loss": 0.7232, + "step": 83 + }, + { + "epoch": 0.03540942143534619, + "grad_norm": 0.18891121447086334, + "learning_rate": 4.2000000000000004e-06, + "loss": 0.7064, + "step": 84 + }, + { + "epoch": 0.03583096216671936, + "grad_norm": 0.1964845210313797, + "learning_rate": 4.25e-06, + "loss": 0.72, + "step": 85 + }, + { + "epoch": 0.03625250289809253, + "grad_norm": 0.17995160818099976, + "learning_rate": 4.3e-06, + "loss": 0.7146, + "step": 86 + }, + { + "epoch": 0.0366740436294657, + "grad_norm": 0.18630728125572205, + "learning_rate": 4.350000000000001e-06, + "loss": 0.7168, + "step": 87 + }, + { + "epoch": 0.03709558436083887, + "grad_norm": 0.18258942663669586, + "learning_rate": 4.4e-06, + "loss": 0.714, + "step": 88 + }, + { + "epoch": 0.037517125092212035, + "grad_norm": 0.17748843133449554, + "learning_rate": 4.450000000000001e-06, + "loss": 0.7154, + "step": 89 + }, + { + "epoch": 0.0379386658235852, + "grad_norm": 0.1819748431444168, + "learning_rate": 4.5e-06, + "loss": 0.7111, + "step": 90 + }, + { + "epoch": 0.03836020655495837, + "grad_norm": 0.18879565596580505, + "learning_rate": 4.5500000000000005e-06, + "loss": 0.6919, + "step": 91 + }, + { + "epoch": 0.03878174728633154, + "grad_norm": 0.18279008567333221, + "learning_rate": 4.600000000000001e-06, + "loss": 0.7635, + "step": 92 + }, + { + "epoch": 0.03920328801770471, + "grad_norm": 0.1807212084531784, + "learning_rate": 4.65e-06, + "loss": 0.714, + "step": 93 + }, + { + "epoch": 0.03962482874907788, + "grad_norm": 0.18220968544483185, + "learning_rate": 4.7e-06, + "loss": 0.7166, + "step": 94 + }, + { + "epoch": 0.040046369480451045, + "grad_norm": 0.18105052411556244, + "learning_rate": 4.75e-06, + "loss": 0.716, + "step": 95 + }, + { + "epoch": 0.04046791021182422, + "grad_norm": 0.18787191808223724, + "learning_rate": 4.800000000000001e-06, + "loss": 0.7285, + "step": 96 + }, + { + "epoch": 0.04088945094319739, + "grad_norm": 0.176447331905365, + "learning_rate": 4.85e-06, + "loss": 0.6979, + "step": 97 + }, + { + "epoch": 0.04131099167457056, + "grad_norm": 0.17359976470470428, + "learning_rate": 4.9000000000000005e-06, + "loss": 0.7048, + "step": 98 + }, + { + "epoch": 0.041732532405943726, + "grad_norm": 0.1798487901687622, + "learning_rate": 4.95e-06, + "loss": 0.7714, + "step": 99 + }, + { + "epoch": 0.042154073137316894, + "grad_norm": 0.18481405079364777, + "learning_rate": 5e-06, + "loss": 0.7103, + "step": 100 + }, + { + "epoch": 0.04257561386869006, + "grad_norm": 0.1738777607679367, + "learning_rate": 4.9999997493714225e-06, + "loss": 0.709, + "step": 101 + }, + { + "epoch": 0.04299715460006323, + "grad_norm": 0.1754748374223709, + "learning_rate": 4.999998997485738e-06, + "loss": 0.7277, + "step": 102 + }, + { + "epoch": 0.0434186953314364, + "grad_norm": 0.17723973095417023, + "learning_rate": 4.999997744343098e-06, + "loss": 0.6855, + "step": 103 + }, + { + "epoch": 0.04384023606280957, + "grad_norm": 0.17454974353313446, + "learning_rate": 4.999995989943754e-06, + "loss": 0.7123, + "step": 104 + }, + { + "epoch": 0.044261776794182736, + "grad_norm": 0.1745677888393402, + "learning_rate": 4.999993734288058e-06, + "loss": 0.7089, + "step": 105 + }, + { + "epoch": 0.044683317525555905, + "grad_norm": 0.16998346149921417, + "learning_rate": 4.999990977376461e-06, + "loss": 0.7123, + "step": 106 + }, + { + "epoch": 0.04510485825692907, + "grad_norm": 0.17023731768131256, + "learning_rate": 4.9999877192095166e-06, + "loss": 0.6998, + "step": 107 + }, + { + "epoch": 0.04552639898830224, + "grad_norm": 0.1744530200958252, + "learning_rate": 4.999983959787878e-06, + "loss": 0.7051, + "step": 108 + }, + { + "epoch": 0.04594793971967542, + "grad_norm": 0.17939868569374084, + "learning_rate": 4.999979699112301e-06, + "loss": 0.7117, + "step": 109 + }, + { + "epoch": 0.046369480451048585, + "grad_norm": 0.18414615094661713, + "learning_rate": 4.9999749371836355e-06, + "loss": 0.7399, + "step": 110 + }, + { + "epoch": 0.04679102118242175, + "grad_norm": 0.17194895446300507, + "learning_rate": 4.99996967400284e-06, + "loss": 0.7011, + "step": 111 + }, + { + "epoch": 0.04721256191379492, + "grad_norm": 0.17224766314029694, + "learning_rate": 4.999963909570969e-06, + "loss": 0.706, + "step": 112 + }, + { + "epoch": 0.04763410264516809, + "grad_norm": 0.18243743479251862, + "learning_rate": 4.999957643889176e-06, + "loss": 0.6706, + "step": 113 + }, + { + "epoch": 0.04805564337654126, + "grad_norm": 0.1826334446668625, + "learning_rate": 4.999950876958721e-06, + "loss": 0.6943, + "step": 114 + }, + { + "epoch": 0.04847718410791443, + "grad_norm": 0.17811767756938934, + "learning_rate": 4.9999436087809584e-06, + "loss": 0.7036, + "step": 115 + }, + { + "epoch": 0.048898724839287595, + "grad_norm": 0.1884814202785492, + "learning_rate": 4.999935839357345e-06, + "loss": 0.71, + "step": 116 + }, + { + "epoch": 0.049320265570660764, + "grad_norm": 0.17991511523723602, + "learning_rate": 4.99992756868944e-06, + "loss": 0.7033, + "step": 117 + }, + { + "epoch": 0.04974180630203393, + "grad_norm": 0.1852027177810669, + "learning_rate": 4.999918796778902e-06, + "loss": 0.6701, + "step": 118 + }, + { + "epoch": 0.0501633470334071, + "grad_norm": 0.17148995399475098, + "learning_rate": 4.999909523627488e-06, + "loss": 0.7017, + "step": 119 + }, + { + "epoch": 0.05058488776478027, + "grad_norm": 0.18856461346149445, + "learning_rate": 4.999899749237059e-06, + "loss": 0.7128, + "step": 120 + }, + { + "epoch": 0.051006428496153444, + "grad_norm": 0.18930798768997192, + "learning_rate": 4.999889473609574e-06, + "loss": 0.7093, + "step": 121 + }, + { + "epoch": 0.05142796922752661, + "grad_norm": 0.17779304087162018, + "learning_rate": 4.999878696747093e-06, + "loss": 0.6867, + "step": 122 + }, + { + "epoch": 0.05184950995889978, + "grad_norm": 0.1712871789932251, + "learning_rate": 4.999867418651778e-06, + "loss": 0.6628, + "step": 123 + }, + { + "epoch": 0.05227105069027295, + "grad_norm": 0.1712663471698761, + "learning_rate": 4.999855639325888e-06, + "loss": 0.6866, + "step": 124 + }, + { + "epoch": 0.05269259142164612, + "grad_norm": 0.1759692132472992, + "learning_rate": 4.9998433587717875e-06, + "loss": 0.6659, + "step": 125 + }, + { + "epoch": 0.053114132153019286, + "grad_norm": 0.17685872316360474, + "learning_rate": 4.999830576991937e-06, + "loss": 0.7081, + "step": 126 + }, + { + "epoch": 0.053535672884392455, + "grad_norm": 0.17527182400226593, + "learning_rate": 4.9998172939889016e-06, + "loss": 0.7222, + "step": 127 + }, + { + "epoch": 0.05395721361576562, + "grad_norm": 0.17963087558746338, + "learning_rate": 4.999803509765341e-06, + "loss": 0.6822, + "step": 128 + }, + { + "epoch": 0.05437875434713879, + "grad_norm": 0.179128959774971, + "learning_rate": 4.999789224324021e-06, + "loss": 0.6903, + "step": 129 + }, + { + "epoch": 0.05480029507851196, + "grad_norm": 0.1729232668876648, + "learning_rate": 4.999774437667806e-06, + "loss": 0.6871, + "step": 130 + }, + { + "epoch": 0.05522183580988513, + "grad_norm": 0.18572039902210236, + "learning_rate": 4.99975914979966e-06, + "loss": 0.7034, + "step": 131 + }, + { + "epoch": 0.055643376541258296, + "grad_norm": 0.1708957850933075, + "learning_rate": 4.99974336072265e-06, + "loss": 0.7316, + "step": 132 + }, + { + "epoch": 0.056064917272631465, + "grad_norm": 0.17814520001411438, + "learning_rate": 4.9997270704399395e-06, + "loss": 0.7147, + "step": 133 + }, + { + "epoch": 0.05648645800400464, + "grad_norm": 0.18104323744773865, + "learning_rate": 4.999710278954796e-06, + "loss": 0.6796, + "step": 134 + }, + { + "epoch": 0.05690799873537781, + "grad_norm": 0.17645549774169922, + "learning_rate": 4.999692986270586e-06, + "loss": 0.7012, + "step": 135 + }, + { + "epoch": 0.05732953946675098, + "grad_norm": 0.18215152621269226, + "learning_rate": 4.999675192390776e-06, + "loss": 0.6851, + "step": 136 + }, + { + "epoch": 0.057751080198124145, + "grad_norm": 0.16767218708992004, + "learning_rate": 4.999656897318935e-06, + "loss": 0.7002, + "step": 137 + }, + { + "epoch": 0.058172620929497314, + "grad_norm": 0.18999888002872467, + "learning_rate": 4.99963810105873e-06, + "loss": 0.6831, + "step": 138 + }, + { + "epoch": 0.05859416166087048, + "grad_norm": 0.17262063920497894, + "learning_rate": 4.999618803613931e-06, + "loss": 0.6632, + "step": 139 + }, + { + "epoch": 0.05901570239224365, + "grad_norm": 0.18284167349338531, + "learning_rate": 4.999599004988407e-06, + "loss": 0.6976, + "step": 140 + }, + { + "epoch": 0.05943724312361682, + "grad_norm": 0.19742456078529358, + "learning_rate": 4.999578705186126e-06, + "loss": 0.7024, + "step": 141 + }, + { + "epoch": 0.05985878385498999, + "grad_norm": 0.17782630026340485, + "learning_rate": 4.9995579042111595e-06, + "loss": 0.6669, + "step": 142 + }, + { + "epoch": 0.060280324586363156, + "grad_norm": 0.1842881292104721, + "learning_rate": 4.9995366020676785e-06, + "loss": 0.7113, + "step": 143 + }, + { + "epoch": 0.060701865317736324, + "grad_norm": 0.20911230146884918, + "learning_rate": 4.999514798759954e-06, + "loss": 0.6731, + "step": 144 + }, + { + "epoch": 0.06112340604910949, + "grad_norm": 0.17967282235622406, + "learning_rate": 4.999492494292357e-06, + "loss": 0.6911, + "step": 145 + }, + { + "epoch": 0.06154494678048266, + "grad_norm": 0.18562951683998108, + "learning_rate": 4.99946968866936e-06, + "loss": 0.6793, + "step": 146 + }, + { + "epoch": 0.061966487511855836, + "grad_norm": 0.18126961588859558, + "learning_rate": 4.999446381895535e-06, + "loss": 0.6966, + "step": 147 + }, + { + "epoch": 0.062388028243229005, + "grad_norm": 0.18489444255828857, + "learning_rate": 4.999422573975556e-06, + "loss": 0.6882, + "step": 148 + }, + { + "epoch": 0.06280956897460217, + "grad_norm": 0.19031500816345215, + "learning_rate": 4.999398264914196e-06, + "loss": 0.6814, + "step": 149 + }, + { + "epoch": 0.06323110970597534, + "grad_norm": 0.17611351609230042, + "learning_rate": 4.999373454716329e-06, + "loss": 0.6931, + "step": 150 + }, + { + "epoch": 0.06365265043734851, + "grad_norm": 0.17956188321113586, + "learning_rate": 4.999348143386931e-06, + "loss": 0.678, + "step": 151 + }, + { + "epoch": 0.06407419116872168, + "grad_norm": 0.17854593694210052, + "learning_rate": 4.999322330931074e-06, + "loss": 0.6815, + "step": 152 + }, + { + "epoch": 0.06449573190009485, + "grad_norm": 0.1742367446422577, + "learning_rate": 4.999296017353935e-06, + "loss": 0.6993, + "step": 153 + }, + { + "epoch": 0.06491727263146801, + "grad_norm": 0.1765994429588318, + "learning_rate": 4.999269202660791e-06, + "loss": 0.6779, + "step": 154 + }, + { + "epoch": 0.06533881336284118, + "grad_norm": 0.1769678294658661, + "learning_rate": 4.999241886857018e-06, + "loss": 0.6833, + "step": 155 + }, + { + "epoch": 0.06576035409421435, + "grad_norm": 0.17637397348880768, + "learning_rate": 4.999214069948092e-06, + "loss": 0.6837, + "step": 156 + }, + { + "epoch": 0.06618189482558752, + "grad_norm": 0.1915796846151352, + "learning_rate": 4.99918575193959e-06, + "loss": 0.68, + "step": 157 + }, + { + "epoch": 0.06660343555696069, + "grad_norm": 0.17869912087917328, + "learning_rate": 4.999156932837192e-06, + "loss": 0.6947, + "step": 158 + }, + { + "epoch": 0.06702497628833386, + "grad_norm": 0.17902164161205292, + "learning_rate": 4.999127612646674e-06, + "loss": 0.6911, + "step": 159 + }, + { + "epoch": 0.06744651701970703, + "grad_norm": 0.18028411269187927, + "learning_rate": 4.999097791373915e-06, + "loss": 0.6795, + "step": 160 + }, + { + "epoch": 0.0678680577510802, + "grad_norm": 0.1825106143951416, + "learning_rate": 4.999067469024897e-06, + "loss": 0.6786, + "step": 161 + }, + { + "epoch": 0.06828959848245336, + "grad_norm": 0.1832597702741623, + "learning_rate": 4.999036645605696e-06, + "loss": 0.679, + "step": 162 + }, + { + "epoch": 0.06871113921382653, + "grad_norm": 0.18045204877853394, + "learning_rate": 4.9990053211224946e-06, + "loss": 0.6817, + "step": 163 + }, + { + "epoch": 0.0691326799451997, + "grad_norm": 0.1871611773967743, + "learning_rate": 4.998973495581572e-06, + "loss": 0.7141, + "step": 164 + }, + { + "epoch": 0.06955422067657287, + "grad_norm": 0.17999723553657532, + "learning_rate": 4.998941168989311e-06, + "loss": 0.6645, + "step": 165 + }, + { + "epoch": 0.06997576140794605, + "grad_norm": 0.17337147891521454, + "learning_rate": 4.998908341352191e-06, + "loss": 0.669, + "step": 166 + }, + { + "epoch": 0.07039730213931922, + "grad_norm": 0.17942361533641815, + "learning_rate": 4.998875012676796e-06, + "loss": 0.6935, + "step": 167 + }, + { + "epoch": 0.07081884287069239, + "grad_norm": 0.17995475232601166, + "learning_rate": 4.998841182969808e-06, + "loss": 0.7071, + "step": 168 + }, + { + "epoch": 0.07124038360206555, + "grad_norm": 0.1790342926979065, + "learning_rate": 4.99880685223801e-06, + "loss": 0.6829, + "step": 169 + }, + { + "epoch": 0.07166192433343872, + "grad_norm": 0.18393510580062866, + "learning_rate": 4.998772020488284e-06, + "loss": 0.6833, + "step": 170 + }, + { + "epoch": 0.07208346506481189, + "grad_norm": 0.17788998782634735, + "learning_rate": 4.998736687727616e-06, + "loss": 0.6839, + "step": 171 + }, + { + "epoch": 0.07250500579618506, + "grad_norm": 0.1787301003932953, + "learning_rate": 4.998700853963088e-06, + "loss": 0.6961, + "step": 172 + }, + { + "epoch": 0.07292654652755823, + "grad_norm": 0.1817287653684616, + "learning_rate": 4.998664519201887e-06, + "loss": 0.6671, + "step": 173 + }, + { + "epoch": 0.0733480872589314, + "grad_norm": 0.18745344877243042, + "learning_rate": 4.998627683451297e-06, + "loss": 0.7037, + "step": 174 + }, + { + "epoch": 0.07376962799030456, + "grad_norm": 0.18669237196445465, + "learning_rate": 4.998590346718704e-06, + "loss": 0.6899, + "step": 175 + }, + { + "epoch": 0.07419116872167773, + "grad_norm": 0.1815669983625412, + "learning_rate": 4.998552509011594e-06, + "loss": 0.6693, + "step": 176 + }, + { + "epoch": 0.0746127094530509, + "grad_norm": 0.18319211900234222, + "learning_rate": 4.998514170337554e-06, + "loss": 0.6811, + "step": 177 + }, + { + "epoch": 0.07503425018442407, + "grad_norm": 0.1861065775156021, + "learning_rate": 4.99847533070427e-06, + "loss": 0.6855, + "step": 178 + }, + { + "epoch": 0.07545579091579724, + "grad_norm": 0.17398186028003693, + "learning_rate": 4.998435990119531e-06, + "loss": 0.6787, + "step": 179 + }, + { + "epoch": 0.0758773316471704, + "grad_norm": 0.17608197033405304, + "learning_rate": 4.998396148591223e-06, + "loss": 0.686, + "step": 180 + }, + { + "epoch": 0.07629887237854358, + "grad_norm": 0.17787930369377136, + "learning_rate": 4.9983558061273364e-06, + "loss": 0.6869, + "step": 181 + }, + { + "epoch": 0.07672041310991674, + "grad_norm": 0.18847839534282684, + "learning_rate": 4.998314962735958e-06, + "loss": 0.6865, + "step": 182 + }, + { + "epoch": 0.07714195384128991, + "grad_norm": 0.1885470151901245, + "learning_rate": 4.998273618425279e-06, + "loss": 0.6971, + "step": 183 + }, + { + "epoch": 0.07756349457266308, + "grad_norm": 0.1825360357761383, + "learning_rate": 4.9982317732035876e-06, + "loss": 0.6923, + "step": 184 + }, + { + "epoch": 0.07798503530403625, + "grad_norm": 0.18757036328315735, + "learning_rate": 4.998189427079274e-06, + "loss": 0.6774, + "step": 185 + }, + { + "epoch": 0.07840657603540942, + "grad_norm": 0.1757952719926834, + "learning_rate": 4.998146580060829e-06, + "loss": 0.6945, + "step": 186 + }, + { + "epoch": 0.07882811676678259, + "grad_norm": 0.1819627583026886, + "learning_rate": 4.998103232156844e-06, + "loss": 0.6961, + "step": 187 + }, + { + "epoch": 0.07924965749815575, + "grad_norm": 0.17991092801094055, + "learning_rate": 4.998059383376009e-06, + "loss": 0.6896, + "step": 188 + }, + { + "epoch": 0.07967119822952892, + "grad_norm": 0.18240217864513397, + "learning_rate": 4.9980150337271185e-06, + "loss": 0.6678, + "step": 189 + }, + { + "epoch": 0.08009273896090209, + "grad_norm": 0.17979981005191803, + "learning_rate": 4.9979701832190616e-06, + "loss": 0.655, + "step": 190 + }, + { + "epoch": 0.08051427969227527, + "grad_norm": 0.18346832692623138, + "learning_rate": 4.997924831860832e-06, + "loss": 0.6631, + "step": 191 + }, + { + "epoch": 0.08093582042364844, + "grad_norm": 0.18479032814502716, + "learning_rate": 4.997878979661524e-06, + "loss": 0.6576, + "step": 192 + }, + { + "epoch": 0.08135736115502161, + "grad_norm": 0.19124893844127655, + "learning_rate": 4.99783262663033e-06, + "loss": 0.6619, + "step": 193 + }, + { + "epoch": 0.08177890188639478, + "grad_norm": 0.18158017098903656, + "learning_rate": 4.997785772776544e-06, + "loss": 0.6817, + "step": 194 + }, + { + "epoch": 0.08220044261776795, + "grad_norm": 0.19892625510692596, + "learning_rate": 4.997738418109561e-06, + "loss": 0.687, + "step": 195 + }, + { + "epoch": 0.08262198334914111, + "grad_norm": 0.1827138215303421, + "learning_rate": 4.997690562638874e-06, + "loss": 0.6801, + "step": 196 + }, + { + "epoch": 0.08304352408051428, + "grad_norm": 0.18990923464298248, + "learning_rate": 4.9976422063740805e-06, + "loss": 0.6696, + "step": 197 + }, + { + "epoch": 0.08346506481188745, + "grad_norm": 0.18232716619968414, + "learning_rate": 4.997593349324874e-06, + "loss": 0.6382, + "step": 198 + }, + { + "epoch": 0.08388660554326062, + "grad_norm": 0.18175926804542542, + "learning_rate": 4.997543991501052e-06, + "loss": 0.6997, + "step": 199 + }, + { + "epoch": 0.08430814627463379, + "grad_norm": 0.1816951483488083, + "learning_rate": 4.997494132912511e-06, + "loss": 0.6835, + "step": 200 + }, + { + "epoch": 0.08472968700600696, + "grad_norm": 0.18778060376644135, + "learning_rate": 4.997443773569246e-06, + "loss": 0.6473, + "step": 201 + }, + { + "epoch": 0.08515122773738013, + "grad_norm": 0.17751739919185638, + "learning_rate": 4.997392913481355e-06, + "loss": 0.6771, + "step": 202 + }, + { + "epoch": 0.0855727684687533, + "grad_norm": 0.18700537085533142, + "learning_rate": 4.997341552659037e-06, + "loss": 0.6668, + "step": 203 + }, + { + "epoch": 0.08599430920012646, + "grad_norm": 0.18602705001831055, + "learning_rate": 4.997289691112588e-06, + "loss": 0.6575, + "step": 204 + }, + { + "epoch": 0.08641584993149963, + "grad_norm": 0.18992920219898224, + "learning_rate": 4.9972373288524075e-06, + "loss": 0.6763, + "step": 205 + }, + { + "epoch": 0.0868373906628728, + "grad_norm": 0.189517080783844, + "learning_rate": 4.997184465888994e-06, + "loss": 0.7008, + "step": 206 + }, + { + "epoch": 0.08725893139424597, + "grad_norm": 0.18478715419769287, + "learning_rate": 4.997131102232947e-06, + "loss": 0.679, + "step": 207 + }, + { + "epoch": 0.08768047212561914, + "grad_norm": 0.18573221564292908, + "learning_rate": 4.997077237894965e-06, + "loss": 0.6756, + "step": 208 + }, + { + "epoch": 0.0881020128569923, + "grad_norm": 0.18967847526073456, + "learning_rate": 4.99702287288585e-06, + "loss": 0.6552, + "step": 209 + }, + { + "epoch": 0.08852355358836547, + "grad_norm": 0.18442094326019287, + "learning_rate": 4.9969680072165e-06, + "loss": 0.6823, + "step": 210 + }, + { + "epoch": 0.08894509431973864, + "grad_norm": 0.1894274652004242, + "learning_rate": 4.996912640897917e-06, + "loss": 0.6745, + "step": 211 + }, + { + "epoch": 0.08936663505111181, + "grad_norm": 0.18941868841648102, + "learning_rate": 4.996856773941202e-06, + "loss": 0.6971, + "step": 212 + }, + { + "epoch": 0.08978817578248498, + "grad_norm": 0.18658168613910675, + "learning_rate": 4.996800406357557e-06, + "loss": 0.6622, + "step": 213 + }, + { + "epoch": 0.09020971651385815, + "grad_norm": 0.18819528818130493, + "learning_rate": 4.996743538158283e-06, + "loss": 0.6848, + "step": 214 + }, + { + "epoch": 0.09063125724523131, + "grad_norm": 0.1927175223827362, + "learning_rate": 4.9966861693547815e-06, + "loss": 0.6805, + "step": 215 + }, + { + "epoch": 0.09105279797660448, + "grad_norm": 0.191157728433609, + "learning_rate": 4.996628299958557e-06, + "loss": 0.6763, + "step": 216 + }, + { + "epoch": 0.09147433870797766, + "grad_norm": 0.18605469167232513, + "learning_rate": 4.996569929981211e-06, + "loss": 0.6719, + "step": 217 + }, + { + "epoch": 0.09189587943935083, + "grad_norm": 0.18317627906799316, + "learning_rate": 4.996511059434448e-06, + "loss": 0.6728, + "step": 218 + }, + { + "epoch": 0.092317420170724, + "grad_norm": 0.18342594802379608, + "learning_rate": 4.9964516883300705e-06, + "loss": 0.6835, + "step": 219 + }, + { + "epoch": 0.09273896090209717, + "grad_norm": 0.19015051424503326, + "learning_rate": 4.996391816679984e-06, + "loss": 0.6815, + "step": 220 + }, + { + "epoch": 0.09316050163347034, + "grad_norm": 0.19501470029354095, + "learning_rate": 4.996331444496192e-06, + "loss": 0.685, + "step": 221 + }, + { + "epoch": 0.0935820423648435, + "grad_norm": 0.19016507267951965, + "learning_rate": 4.996270571790799e-06, + "loss": 0.6654, + "step": 222 + }, + { + "epoch": 0.09400358309621668, + "grad_norm": 0.1969563215970993, + "learning_rate": 4.996209198576011e-06, + "loss": 0.6625, + "step": 223 + }, + { + "epoch": 0.09442512382758984, + "grad_norm": 0.19229756295681, + "learning_rate": 4.9961473248641325e-06, + "loss": 0.6867, + "step": 224 + }, + { + "epoch": 0.09484666455896301, + "grad_norm": 0.18767569959163666, + "learning_rate": 4.9960849506675705e-06, + "loss": 0.6595, + "step": 225 + }, + { + "epoch": 0.09526820529033618, + "grad_norm": 0.19153764843940735, + "learning_rate": 4.9960220759988295e-06, + "loss": 0.6709, + "step": 226 + }, + { + "epoch": 0.09568974602170935, + "grad_norm": 0.20141515135765076, + "learning_rate": 4.995958700870519e-06, + "loss": 0.6791, + "step": 227 + }, + { + "epoch": 0.09611128675308252, + "grad_norm": 0.1969662606716156, + "learning_rate": 4.9958948252953435e-06, + "loss": 0.6792, + "step": 228 + }, + { + "epoch": 0.09653282748445569, + "grad_norm": 0.19556061923503876, + "learning_rate": 4.99583044928611e-06, + "loss": 0.6436, + "step": 229 + }, + { + "epoch": 0.09695436821582885, + "grad_norm": 0.20046646893024445, + "learning_rate": 4.9957655728557275e-06, + "loss": 0.6762, + "step": 230 + }, + { + "epoch": 0.09737590894720202, + "grad_norm": 0.18485157191753387, + "learning_rate": 4.995700196017204e-06, + "loss": 0.6658, + "step": 231 + }, + { + "epoch": 0.09779744967857519, + "grad_norm": 0.1980086714029312, + "learning_rate": 4.9956343187836455e-06, + "loss": 0.6516, + "step": 232 + }, + { + "epoch": 0.09821899040994836, + "grad_norm": 0.18426518142223358, + "learning_rate": 4.995567941168264e-06, + "loss": 0.6844, + "step": 233 + }, + { + "epoch": 0.09864053114132153, + "grad_norm": 0.1942421793937683, + "learning_rate": 4.995501063184365e-06, + "loss": 0.6946, + "step": 234 + }, + { + "epoch": 0.0990620718726947, + "grad_norm": 0.1975025087594986, + "learning_rate": 4.99543368484536e-06, + "loss": 0.6498, + "step": 235 + }, + { + "epoch": 0.09948361260406786, + "grad_norm": 0.18677708506584167, + "learning_rate": 4.995365806164758e-06, + "loss": 0.662, + "step": 236 + }, + { + "epoch": 0.09990515333544103, + "grad_norm": 0.1851079761981964, + "learning_rate": 4.995297427156169e-06, + "loss": 0.6773, + "step": 237 + }, + { + "epoch": 0.1003266940668142, + "grad_norm": 0.18994666635990143, + "learning_rate": 4.995228547833301e-06, + "loss": 0.6852, + "step": 238 + }, + { + "epoch": 0.10074823479818737, + "grad_norm": 0.19767063856124878, + "learning_rate": 4.995159168209968e-06, + "loss": 0.6863, + "step": 239 + }, + { + "epoch": 0.10116977552956054, + "grad_norm": 0.2009822577238083, + "learning_rate": 4.995089288300079e-06, + "loss": 0.695, + "step": 240 + }, + { + "epoch": 0.1015913162609337, + "grad_norm": 0.19976560771465302, + "learning_rate": 4.995018908117644e-06, + "loss": 0.6773, + "step": 241 + }, + { + "epoch": 0.10201285699230689, + "grad_norm": 0.19675956666469574, + "learning_rate": 4.994948027676778e-06, + "loss": 0.6595, + "step": 242 + }, + { + "epoch": 0.10243439772368006, + "grad_norm": 0.19577495753765106, + "learning_rate": 4.99487664699169e-06, + "loss": 0.6716, + "step": 243 + }, + { + "epoch": 0.10285593845505323, + "grad_norm": 0.1974613070487976, + "learning_rate": 4.994804766076691e-06, + "loss": 0.6548, + "step": 244 + }, + { + "epoch": 0.1032774791864264, + "grad_norm": 0.19054162502288818, + "learning_rate": 4.994732384946196e-06, + "loss": 0.6846, + "step": 245 + }, + { + "epoch": 0.10369901991779956, + "grad_norm": 0.1930086314678192, + "learning_rate": 4.994659503614716e-06, + "loss": 0.6636, + "step": 246 + }, + { + "epoch": 0.10412056064917273, + "grad_norm": 0.19504211843013763, + "learning_rate": 4.994586122096865e-06, + "loss": 0.6964, + "step": 247 + }, + { + "epoch": 0.1045421013805459, + "grad_norm": 0.19730274379253387, + "learning_rate": 4.994512240407354e-06, + "loss": 0.6822, + "step": 248 + }, + { + "epoch": 0.10496364211191907, + "grad_norm": 0.1991763710975647, + "learning_rate": 4.994437858561e-06, + "loss": 0.6736, + "step": 249 + }, + { + "epoch": 0.10538518284329224, + "grad_norm": 0.20081613957881927, + "learning_rate": 4.994362976572713e-06, + "loss": 0.6878, + "step": 250 + }, + { + "epoch": 0.1058067235746654, + "grad_norm": 0.21170829236507416, + "learning_rate": 4.994287594457511e-06, + "loss": 0.6787, + "step": 251 + }, + { + "epoch": 0.10622826430603857, + "grad_norm": 0.19960327446460724, + "learning_rate": 4.9942117122305045e-06, + "loss": 0.6702, + "step": 252 + }, + { + "epoch": 0.10664980503741174, + "grad_norm": 0.19778785109519958, + "learning_rate": 4.9941353299069105e-06, + "loss": 0.6963, + "step": 253 + }, + { + "epoch": 0.10707134576878491, + "grad_norm": 0.1955125480890274, + "learning_rate": 4.994058447502043e-06, + "loss": 0.6776, + "step": 254 + }, + { + "epoch": 0.10749288650015808, + "grad_norm": 0.19576016068458557, + "learning_rate": 4.9939810650313175e-06, + "loss": 0.6761, + "step": 255 + }, + { + "epoch": 0.10791442723153125, + "grad_norm": 0.19699929654598236, + "learning_rate": 4.993903182510249e-06, + "loss": 0.6787, + "step": 256 + }, + { + "epoch": 0.10833596796290441, + "grad_norm": 0.18686431646347046, + "learning_rate": 4.993824799954454e-06, + "loss": 0.6692, + "step": 257 + }, + { + "epoch": 0.10875750869427758, + "grad_norm": 0.19229714572429657, + "learning_rate": 4.9937459173796475e-06, + "loss": 0.664, + "step": 258 + }, + { + "epoch": 0.10917904942565075, + "grad_norm": 0.19343610107898712, + "learning_rate": 4.9936665348016465e-06, + "loss": 0.6621, + "step": 259 + }, + { + "epoch": 0.10960059015702392, + "grad_norm": 0.19266656041145325, + "learning_rate": 4.9935866522363665e-06, + "loss": 0.7024, + "step": 260 + }, + { + "epoch": 0.11002213088839709, + "grad_norm": 0.19614985585212708, + "learning_rate": 4.993506269699824e-06, + "loss": 0.6448, + "step": 261 + }, + { + "epoch": 0.11044367161977026, + "grad_norm": 0.19521160423755646, + "learning_rate": 4.993425387208137e-06, + "loss": 0.698, + "step": 262 + }, + { + "epoch": 0.11086521235114342, + "grad_norm": 0.21780386567115784, + "learning_rate": 4.993344004777523e-06, + "loss": 0.6868, + "step": 263 + }, + { + "epoch": 0.11128675308251659, + "grad_norm": 0.18932631611824036, + "learning_rate": 4.993262122424298e-06, + "loss": 0.6513, + "step": 264 + }, + { + "epoch": 0.11170829381388976, + "grad_norm": 0.20421689748764038, + "learning_rate": 4.9931797401648806e-06, + "loss": 0.6753, + "step": 265 + }, + { + "epoch": 0.11212983454526293, + "grad_norm": 0.20207132399082184, + "learning_rate": 4.993096858015788e-06, + "loss": 0.6821, + "step": 266 + }, + { + "epoch": 0.1125513752766361, + "grad_norm": 0.20157171785831451, + "learning_rate": 4.993013475993638e-06, + "loss": 0.6889, + "step": 267 + }, + { + "epoch": 0.11297291600800928, + "grad_norm": 0.20024839043617249, + "learning_rate": 4.992929594115151e-06, + "loss": 0.6243, + "step": 268 + }, + { + "epoch": 0.11339445673938245, + "grad_norm": 0.21691858768463135, + "learning_rate": 4.992845212397144e-06, + "loss": 0.6851, + "step": 269 + }, + { + "epoch": 0.11381599747075562, + "grad_norm": 0.19579987227916718, + "learning_rate": 4.9927603308565356e-06, + "loss": 0.6868, + "step": 270 + }, + { + "epoch": 0.11423753820212879, + "grad_norm": 0.19934384524822235, + "learning_rate": 4.992674949510345e-06, + "loss": 0.6815, + "step": 271 + }, + { + "epoch": 0.11465907893350195, + "grad_norm": 0.21055586636066437, + "learning_rate": 4.992589068375691e-06, + "loss": 0.6504, + "step": 272 + }, + { + "epoch": 0.11508061966487512, + "grad_norm": 0.20408973097801208, + "learning_rate": 4.992502687469795e-06, + "loss": 0.6768, + "step": 273 + }, + { + "epoch": 0.11550216039624829, + "grad_norm": 0.19852286577224731, + "learning_rate": 4.992415806809975e-06, + "loss": 0.6867, + "step": 274 + }, + { + "epoch": 0.11592370112762146, + "grad_norm": 0.19237147271633148, + "learning_rate": 4.99232842641365e-06, + "loss": 0.6666, + "step": 275 + }, + { + "epoch": 0.11634524185899463, + "grad_norm": 0.2004595398902893, + "learning_rate": 4.992240546298342e-06, + "loss": 0.6778, + "step": 276 + }, + { + "epoch": 0.1167667825903678, + "grad_norm": 0.20304861664772034, + "learning_rate": 4.992152166481669e-06, + "loss": 0.674, + "step": 277 + }, + { + "epoch": 0.11718832332174096, + "grad_norm": 0.19285213947296143, + "learning_rate": 4.992063286981354e-06, + "loss": 0.65, + "step": 278 + }, + { + "epoch": 0.11760986405311413, + "grad_norm": 0.20184293389320374, + "learning_rate": 4.991973907815215e-06, + "loss": 0.685, + "step": 279 + }, + { + "epoch": 0.1180314047844873, + "grad_norm": 0.19268806278705597, + "learning_rate": 4.991884029001175e-06, + "loss": 0.6626, + "step": 280 + }, + { + "epoch": 0.11845294551586047, + "grad_norm": 0.20452861487865448, + "learning_rate": 4.991793650557254e-06, + "loss": 0.6763, + "step": 281 + }, + { + "epoch": 0.11887448624723364, + "grad_norm": 0.20973370969295502, + "learning_rate": 4.991702772501572e-06, + "loss": 0.6571, + "step": 282 + }, + { + "epoch": 0.1192960269786068, + "grad_norm": 0.20668712258338928, + "learning_rate": 4.9916113948523526e-06, + "loss": 0.6783, + "step": 283 + }, + { + "epoch": 0.11971756770997997, + "grad_norm": 0.1931544989347458, + "learning_rate": 4.991519517627916e-06, + "loss": 0.6747, + "step": 284 + }, + { + "epoch": 0.12013910844135314, + "grad_norm": 0.2019011378288269, + "learning_rate": 4.991427140846683e-06, + "loss": 0.6406, + "step": 285 + }, + { + "epoch": 0.12056064917272631, + "grad_norm": 0.20072971284389496, + "learning_rate": 4.991334264527177e-06, + "loss": 0.6724, + "step": 286 + }, + { + "epoch": 0.12098218990409948, + "grad_norm": 0.2066023200750351, + "learning_rate": 4.991240888688019e-06, + "loss": 0.6412, + "step": 287 + }, + { + "epoch": 0.12140373063547265, + "grad_norm": 0.20346936583518982, + "learning_rate": 4.991147013347932e-06, + "loss": 0.6452, + "step": 288 + }, + { + "epoch": 0.12182527136684582, + "grad_norm": 0.19868072867393494, + "learning_rate": 4.991052638525737e-06, + "loss": 0.6579, + "step": 289 + }, + { + "epoch": 0.12224681209821898, + "grad_norm": 0.202948659658432, + "learning_rate": 4.990957764240358e-06, + "loss": 0.6521, + "step": 290 + }, + { + "epoch": 0.12266835282959215, + "grad_norm": 0.1964743435382843, + "learning_rate": 4.990862390510817e-06, + "loss": 0.6219, + "step": 291 + }, + { + "epoch": 0.12308989356096532, + "grad_norm": 0.20336145162582397, + "learning_rate": 4.990766517356236e-06, + "loss": 0.6606, + "step": 292 + }, + { + "epoch": 0.1235114342923385, + "grad_norm": 0.20082779228687286, + "learning_rate": 4.990670144795837e-06, + "loss": 0.6823, + "step": 293 + }, + { + "epoch": 0.12393297502371167, + "grad_norm": 0.20099136233329773, + "learning_rate": 4.990573272848946e-06, + "loss": 0.6808, + "step": 294 + }, + { + "epoch": 0.12435451575508484, + "grad_norm": 0.19388745725154877, + "learning_rate": 4.990475901534983e-06, + "loss": 0.675, + "step": 295 + }, + { + "epoch": 0.12477605648645801, + "grad_norm": 0.2019960582256317, + "learning_rate": 4.990378030873474e-06, + "loss": 0.6561, + "step": 296 + }, + { + "epoch": 0.12519759721783116, + "grad_norm": 0.21345113217830658, + "learning_rate": 4.99027966088404e-06, + "loss": 0.6692, + "step": 297 + }, + { + "epoch": 0.12561913794920435, + "grad_norm": 0.2115856260061264, + "learning_rate": 4.9901807915864055e-06, + "loss": 0.7, + "step": 298 + }, + { + "epoch": 0.1260406786805775, + "grad_norm": 0.20527495443820953, + "learning_rate": 4.990081423000394e-06, + "loss": 0.6672, + "step": 299 + }, + { + "epoch": 0.12646221941195068, + "grad_norm": 0.20394611358642578, + "learning_rate": 4.989981555145928e-06, + "loss": 0.6641, + "step": 300 + }, + { + "epoch": 0.12688376014332384, + "grad_norm": 0.20698480308055878, + "learning_rate": 4.989881188043035e-06, + "loss": 0.6649, + "step": 301 + }, + { + "epoch": 0.12730530087469702, + "grad_norm": 0.20958511531352997, + "learning_rate": 4.989780321711834e-06, + "loss": 0.6548, + "step": 302 + }, + { + "epoch": 0.12772684160607017, + "grad_norm": 0.2013298124074936, + "learning_rate": 4.989678956172553e-06, + "loss": 0.6671, + "step": 303 + }, + { + "epoch": 0.12814838233744336, + "grad_norm": 0.20705978572368622, + "learning_rate": 4.989577091445512e-06, + "loss": 0.6418, + "step": 304 + }, + { + "epoch": 0.1285699230688165, + "grad_norm": 0.2003588080406189, + "learning_rate": 4.9894747275511395e-06, + "loss": 0.6668, + "step": 305 + }, + { + "epoch": 0.1289914638001897, + "grad_norm": 0.20356950163841248, + "learning_rate": 4.9893718645099575e-06, + "loss": 0.6639, + "step": 306 + }, + { + "epoch": 0.12941300453156288, + "grad_norm": 0.20462188124656677, + "learning_rate": 4.98926850234259e-06, + "loss": 0.6681, + "step": 307 + }, + { + "epoch": 0.12983454526293603, + "grad_norm": 0.2045106738805771, + "learning_rate": 4.989164641069763e-06, + "loss": 0.6948, + "step": 308 + }, + { + "epoch": 0.1302560859943092, + "grad_norm": 0.2094605416059494, + "learning_rate": 4.9890602807123e-06, + "loss": 0.6622, + "step": 309 + }, + { + "epoch": 0.13067762672568237, + "grad_norm": 0.2059636414051056, + "learning_rate": 4.988955421291125e-06, + "loss": 0.6773, + "step": 310 + }, + { + "epoch": 0.13109916745705555, + "grad_norm": 0.1962340921163559, + "learning_rate": 4.988850062827263e-06, + "loss": 0.6415, + "step": 311 + }, + { + "epoch": 0.1315207081884287, + "grad_norm": 0.20182925462722778, + "learning_rate": 4.98874420534184e-06, + "loss": 0.659, + "step": 312 + }, + { + "epoch": 0.13194224891980189, + "grad_norm": 0.20462483167648315, + "learning_rate": 4.9886378488560785e-06, + "loss": 0.6682, + "step": 313 + }, + { + "epoch": 0.13236378965117504, + "grad_norm": 0.20841017365455627, + "learning_rate": 4.988530993391305e-06, + "loss": 0.6634, + "step": 314 + }, + { + "epoch": 0.13278533038254822, + "grad_norm": 0.20585286617279053, + "learning_rate": 4.988423638968943e-06, + "loss": 0.6696, + "step": 315 + }, + { + "epoch": 0.13320687111392138, + "grad_norm": 0.20328669250011444, + "learning_rate": 4.9883157856105195e-06, + "loss": 0.6781, + "step": 316 + }, + { + "epoch": 0.13362841184529456, + "grad_norm": 0.20803019404411316, + "learning_rate": 4.988207433337657e-06, + "loss": 0.656, + "step": 317 + }, + { + "epoch": 0.1340499525766677, + "grad_norm": 0.201886847615242, + "learning_rate": 4.988098582172081e-06, + "loss": 0.6313, + "step": 318 + }, + { + "epoch": 0.1344714933080409, + "grad_norm": 0.20804308354854584, + "learning_rate": 4.987989232135618e-06, + "loss": 0.6797, + "step": 319 + }, + { + "epoch": 0.13489303403941405, + "grad_norm": 0.20710523426532745, + "learning_rate": 4.987879383250191e-06, + "loss": 0.6789, + "step": 320 + }, + { + "epoch": 0.13531457477078723, + "grad_norm": 0.20678341388702393, + "learning_rate": 4.9877690355378265e-06, + "loss": 0.6597, + "step": 321 + }, + { + "epoch": 0.1357361155021604, + "grad_norm": 0.2014772742986679, + "learning_rate": 4.9876581890206485e-06, + "loss": 0.6496, + "step": 322 + }, + { + "epoch": 0.13615765623353357, + "grad_norm": 0.20414437353610992, + "learning_rate": 4.9875468437208825e-06, + "loss": 0.6291, + "step": 323 + }, + { + "epoch": 0.13657919696490672, + "grad_norm": 0.20725557208061218, + "learning_rate": 4.987434999660854e-06, + "loss": 0.6868, + "step": 324 + }, + { + "epoch": 0.1370007376962799, + "grad_norm": 0.20924833416938782, + "learning_rate": 4.987322656862987e-06, + "loss": 0.6747, + "step": 325 + }, + { + "epoch": 0.13742227842765306, + "grad_norm": 0.20984621345996857, + "learning_rate": 4.987209815349808e-06, + "loss": 0.6834, + "step": 326 + }, + { + "epoch": 0.13784381915902624, + "grad_norm": 0.21052715182304382, + "learning_rate": 4.98709647514394e-06, + "loss": 0.6422, + "step": 327 + }, + { + "epoch": 0.1382653598903994, + "grad_norm": 0.21226079761981964, + "learning_rate": 4.9869826362681105e-06, + "loss": 0.6533, + "step": 328 + }, + { + "epoch": 0.13868690062177258, + "grad_norm": 0.2016143947839737, + "learning_rate": 4.986868298745142e-06, + "loss": 0.6442, + "step": 329 + }, + { + "epoch": 0.13910844135314573, + "grad_norm": 0.19947828352451324, + "learning_rate": 4.986753462597962e-06, + "loss": 0.6563, + "step": 330 + }, + { + "epoch": 0.13952998208451892, + "grad_norm": 0.21439361572265625, + "learning_rate": 4.986638127849593e-06, + "loss": 0.6433, + "step": 331 + }, + { + "epoch": 0.1399515228158921, + "grad_norm": 0.20104160904884338, + "learning_rate": 4.9865222945231625e-06, + "loss": 0.637, + "step": 332 + }, + { + "epoch": 0.14037306354726525, + "grad_norm": 0.20007939636707306, + "learning_rate": 4.986405962641893e-06, + "loss": 0.6474, + "step": 333 + }, + { + "epoch": 0.14079460427863844, + "grad_norm": 0.2133202701807022, + "learning_rate": 4.9862891322291105e-06, + "loss": 0.6733, + "step": 334 + }, + { + "epoch": 0.1412161450100116, + "grad_norm": 0.2044401466846466, + "learning_rate": 4.9861718033082405e-06, + "loss": 0.6726, + "step": 335 + }, + { + "epoch": 0.14163768574138477, + "grad_norm": 0.20695999264717102, + "learning_rate": 4.986053975902807e-06, + "loss": 0.6794, + "step": 336 + }, + { + "epoch": 0.14205922647275793, + "grad_norm": 0.2152855545282364, + "learning_rate": 4.985935650036435e-06, + "loss": 0.6639, + "step": 337 + }, + { + "epoch": 0.1424807672041311, + "grad_norm": 0.21518713235855103, + "learning_rate": 4.985816825732848e-06, + "loss": 0.6671, + "step": 338 + }, + { + "epoch": 0.14290230793550426, + "grad_norm": 0.21271373331546783, + "learning_rate": 4.985697503015872e-06, + "loss": 0.6698, + "step": 339 + }, + { + "epoch": 0.14332384866687745, + "grad_norm": 0.2174816131591797, + "learning_rate": 4.985577681909431e-06, + "loss": 0.6376, + "step": 340 + }, + { + "epoch": 0.1437453893982506, + "grad_norm": 0.20762839913368225, + "learning_rate": 4.98545736243755e-06, + "loss": 0.6492, + "step": 341 + }, + { + "epoch": 0.14416693012962378, + "grad_norm": 0.21048258244991302, + "learning_rate": 4.985336544624353e-06, + "loss": 0.6494, + "step": 342 + }, + { + "epoch": 0.14458847086099694, + "grad_norm": 0.208738774061203, + "learning_rate": 4.985215228494065e-06, + "loss": 0.6738, + "step": 343 + }, + { + "epoch": 0.14501001159237012, + "grad_norm": 0.21118545532226562, + "learning_rate": 4.9850934140710084e-06, + "loss": 0.6526, + "step": 344 + }, + { + "epoch": 0.14543155232374327, + "grad_norm": 0.2104908674955368, + "learning_rate": 4.984971101379609e-06, + "loss": 0.6596, + "step": 345 + }, + { + "epoch": 0.14585309305511646, + "grad_norm": 0.21006746590137482, + "learning_rate": 4.9848482904443905e-06, + "loss": 0.6528, + "step": 346 + }, + { + "epoch": 0.1462746337864896, + "grad_norm": 0.21185743808746338, + "learning_rate": 4.984724981289976e-06, + "loss": 0.6642, + "step": 347 + }, + { + "epoch": 0.1466961745178628, + "grad_norm": 0.21709086000919342, + "learning_rate": 4.9846011739410905e-06, + "loss": 0.6833, + "step": 348 + }, + { + "epoch": 0.14711771524923595, + "grad_norm": 0.20782820880413055, + "learning_rate": 4.9844768684225575e-06, + "loss": 0.6474, + "step": 349 + }, + { + "epoch": 0.14753925598060913, + "grad_norm": 0.20482183992862701, + "learning_rate": 4.9843520647593005e-06, + "loss": 0.6421, + "step": 350 + }, + { + "epoch": 0.14796079671198228, + "grad_norm": 0.2143651843070984, + "learning_rate": 4.984226762976342e-06, + "loss": 0.6596, + "step": 351 + }, + { + "epoch": 0.14838233744335547, + "grad_norm": 0.22368572652339935, + "learning_rate": 4.984100963098807e-06, + "loss": 0.651, + "step": 352 + }, + { + "epoch": 0.14880387817472862, + "grad_norm": 0.20261022448539734, + "learning_rate": 4.983974665151918e-06, + "loss": 0.6363, + "step": 353 + }, + { + "epoch": 0.1492254189061018, + "grad_norm": 0.21051320433616638, + "learning_rate": 4.983847869160997e-06, + "loss": 0.6535, + "step": 354 + }, + { + "epoch": 0.14964695963747496, + "grad_norm": 0.20940569043159485, + "learning_rate": 4.98372057515147e-06, + "loss": 0.6523, + "step": 355 + }, + { + "epoch": 0.15006850036884814, + "grad_norm": 0.2194211781024933, + "learning_rate": 4.9835927831488565e-06, + "loss": 0.6533, + "step": 356 + }, + { + "epoch": 0.15049004110022132, + "grad_norm": 0.22318407893180847, + "learning_rate": 4.98346449317878e-06, + "loss": 0.6957, + "step": 357 + }, + { + "epoch": 0.15091158183159448, + "grad_norm": 0.2162528932094574, + "learning_rate": 4.983335705266964e-06, + "loss": 0.6691, + "step": 358 + }, + { + "epoch": 0.15133312256296766, + "grad_norm": 0.20046716928482056, + "learning_rate": 4.983206419439231e-06, + "loss": 0.6504, + "step": 359 + }, + { + "epoch": 0.1517546632943408, + "grad_norm": 0.23220473527908325, + "learning_rate": 4.9830766357215025e-06, + "loss": 0.6377, + "step": 360 + }, + { + "epoch": 0.152176204025714, + "grad_norm": 0.21880929172039032, + "learning_rate": 4.982946354139799e-06, + "loss": 0.6386, + "step": 361 + }, + { + "epoch": 0.15259774475708715, + "grad_norm": 0.21767985820770264, + "learning_rate": 4.982815574720246e-06, + "loss": 0.6569, + "step": 362 + }, + { + "epoch": 0.15301928548846033, + "grad_norm": 0.22018642723560333, + "learning_rate": 4.9826842974890614e-06, + "loss": 0.6602, + "step": 363 + }, + { + "epoch": 0.1534408262198335, + "grad_norm": 0.22948899865150452, + "learning_rate": 4.982552522472569e-06, + "loss": 0.6506, + "step": 364 + }, + { + "epoch": 0.15386236695120667, + "grad_norm": 0.20289656519889832, + "learning_rate": 4.9824202496971894e-06, + "loss": 0.6558, + "step": 365 + }, + { + "epoch": 0.15428390768257982, + "grad_norm": 0.22870121896266937, + "learning_rate": 4.982287479189444e-06, + "loss": 0.6854, + "step": 366 + }, + { + "epoch": 0.154705448413953, + "grad_norm": 0.23659977316856384, + "learning_rate": 4.982154210975952e-06, + "loss": 0.6698, + "step": 367 + }, + { + "epoch": 0.15512698914532616, + "grad_norm": 0.22445474565029144, + "learning_rate": 4.982020445083436e-06, + "loss": 0.6731, + "step": 368 + }, + { + "epoch": 0.15554852987669934, + "grad_norm": 0.21690113842487335, + "learning_rate": 4.981886181538717e-06, + "loss": 0.6479, + "step": 369 + }, + { + "epoch": 0.1559700706080725, + "grad_norm": 0.21330410242080688, + "learning_rate": 4.9817514203687124e-06, + "loss": 0.6647, + "step": 370 + }, + { + "epoch": 0.15639161133944568, + "grad_norm": 0.21377027034759521, + "learning_rate": 4.981616161600444e-06, + "loss": 0.657, + "step": 371 + }, + { + "epoch": 0.15681315207081883, + "grad_norm": 0.21915587782859802, + "learning_rate": 4.981480405261032e-06, + "loss": 0.665, + "step": 372 + }, + { + "epoch": 0.15723469280219202, + "grad_norm": 0.22189389169216156, + "learning_rate": 4.981344151377695e-06, + "loss": 0.6587, + "step": 373 + }, + { + "epoch": 0.15765623353356517, + "grad_norm": 0.21328085660934448, + "learning_rate": 4.981207399977752e-06, + "loss": 0.6425, + "step": 374 + }, + { + "epoch": 0.15807777426493835, + "grad_norm": 0.22045306861400604, + "learning_rate": 4.981070151088624e-06, + "loss": 0.6506, + "step": 375 + }, + { + "epoch": 0.1584993149963115, + "grad_norm": 0.2125290185213089, + "learning_rate": 4.980932404737827e-06, + "loss": 0.6815, + "step": 376 + }, + { + "epoch": 0.1589208557276847, + "grad_norm": 0.21428261697292328, + "learning_rate": 4.980794160952982e-06, + "loss": 0.65, + "step": 377 + }, + { + "epoch": 0.15934239645905784, + "grad_norm": 0.22129037976264954, + "learning_rate": 4.980655419761806e-06, + "loss": 0.6659, + "step": 378 + }, + { + "epoch": 0.15976393719043103, + "grad_norm": 0.22464123368263245, + "learning_rate": 4.980516181192117e-06, + "loss": 0.6667, + "step": 379 + }, + { + "epoch": 0.16018547792180418, + "grad_norm": 0.21550893783569336, + "learning_rate": 4.980376445271834e-06, + "loss": 0.6552, + "step": 380 + }, + { + "epoch": 0.16060701865317736, + "grad_norm": 0.21697524189949036, + "learning_rate": 4.980236212028973e-06, + "loss": 0.6615, + "step": 381 + }, + { + "epoch": 0.16102855938455055, + "grad_norm": 0.21036921441555023, + "learning_rate": 4.980095481491651e-06, + "loss": 0.6402, + "step": 382 + }, + { + "epoch": 0.1614501001159237, + "grad_norm": 0.21921782195568085, + "learning_rate": 4.979954253688086e-06, + "loss": 0.6404, + "step": 383 + }, + { + "epoch": 0.16187164084729688, + "grad_norm": 0.2197704017162323, + "learning_rate": 4.9798125286465935e-06, + "loss": 0.66, + "step": 384 + }, + { + "epoch": 0.16229318157867004, + "grad_norm": 0.21849073469638824, + "learning_rate": 4.979670306395591e-06, + "loss": 0.6416, + "step": 385 + }, + { + "epoch": 0.16271472231004322, + "grad_norm": 0.21315787732601166, + "learning_rate": 4.979527586963594e-06, + "loss": 0.653, + "step": 386 + }, + { + "epoch": 0.16313626304141637, + "grad_norm": 0.2077677696943283, + "learning_rate": 4.9793843703792175e-06, + "loss": 0.6138, + "step": 387 + }, + { + "epoch": 0.16355780377278956, + "grad_norm": 0.21379877626895905, + "learning_rate": 4.979240656671177e-06, + "loss": 0.6698, + "step": 388 + }, + { + "epoch": 0.1639793445041627, + "grad_norm": 0.214260071516037, + "learning_rate": 4.979096445868288e-06, + "loss": 0.6734, + "step": 389 + }, + { + "epoch": 0.1644008852355359, + "grad_norm": 0.219817116856575, + "learning_rate": 4.978951737999466e-06, + "loss": 0.6582, + "step": 390 + }, + { + "epoch": 0.16482242596690905, + "grad_norm": 0.2153392732143402, + "learning_rate": 4.978806533093723e-06, + "loss": 0.6577, + "step": 391 + }, + { + "epoch": 0.16524396669828223, + "grad_norm": 0.2169211059808731, + "learning_rate": 4.978660831180175e-06, + "loss": 0.6246, + "step": 392 + }, + { + "epoch": 0.16566550742965538, + "grad_norm": 0.22149506211280823, + "learning_rate": 4.978514632288035e-06, + "loss": 0.6434, + "step": 393 + }, + { + "epoch": 0.16608704816102857, + "grad_norm": 0.21007981896400452, + "learning_rate": 4.978367936446616e-06, + "loss": 0.6483, + "step": 394 + }, + { + "epoch": 0.16650858889240172, + "grad_norm": 0.22675804793834686, + "learning_rate": 4.978220743685331e-06, + "loss": 0.6221, + "step": 395 + }, + { + "epoch": 0.1669301296237749, + "grad_norm": 0.2154684215784073, + "learning_rate": 4.978073054033694e-06, + "loss": 0.6469, + "step": 396 + }, + { + "epoch": 0.16735167035514806, + "grad_norm": 0.21647655963897705, + "learning_rate": 4.977924867521316e-06, + "loss": 0.6452, + "step": 397 + }, + { + "epoch": 0.16777321108652124, + "grad_norm": 0.2090582400560379, + "learning_rate": 4.9777761841779074e-06, + "loss": 0.6469, + "step": 398 + }, + { + "epoch": 0.1681947518178944, + "grad_norm": 0.22375378012657166, + "learning_rate": 4.977627004033281e-06, + "loss": 0.6522, + "step": 399 + }, + { + "epoch": 0.16861629254926758, + "grad_norm": 0.2127104252576828, + "learning_rate": 4.9774773271173494e-06, + "loss": 0.6689, + "step": 400 + }, + { + "epoch": 0.16903783328064073, + "grad_norm": 0.2096283733844757, + "learning_rate": 4.9773271534601205e-06, + "loss": 0.649, + "step": 401 + }, + { + "epoch": 0.1694593740120139, + "grad_norm": 0.20685532689094543, + "learning_rate": 4.977176483091706e-06, + "loss": 0.6583, + "step": 402 + }, + { + "epoch": 0.16988091474338707, + "grad_norm": 0.22643961012363434, + "learning_rate": 4.977025316042316e-06, + "loss": 0.6447, + "step": 403 + }, + { + "epoch": 0.17030245547476025, + "grad_norm": 0.21273617446422577, + "learning_rate": 4.976873652342259e-06, + "loss": 0.6276, + "step": 404 + }, + { + "epoch": 0.1707239962061334, + "grad_norm": 0.215843066573143, + "learning_rate": 4.976721492021945e-06, + "loss": 0.6395, + "step": 405 + }, + { + "epoch": 0.1711455369375066, + "grad_norm": 0.2145632803440094, + "learning_rate": 4.976568835111882e-06, + "loss": 0.6568, + "step": 406 + }, + { + "epoch": 0.17156707766887974, + "grad_norm": 0.22427786886692047, + "learning_rate": 4.976415681642678e-06, + "loss": 0.6351, + "step": 407 + }, + { + "epoch": 0.17198861840025292, + "grad_norm": 0.21854615211486816, + "learning_rate": 4.97626203164504e-06, + "loss": 0.6957, + "step": 408 + }, + { + "epoch": 0.1724101591316261, + "grad_norm": 0.21164420247077942, + "learning_rate": 4.976107885149777e-06, + "loss": 0.6592, + "step": 409 + }, + { + "epoch": 0.17283169986299926, + "grad_norm": 0.22965668141841888, + "learning_rate": 4.9759532421877956e-06, + "loss": 0.6589, + "step": 410 + }, + { + "epoch": 0.17325324059437244, + "grad_norm": 0.2169698178768158, + "learning_rate": 4.9757981027901004e-06, + "loss": 0.6339, + "step": 411 + }, + { + "epoch": 0.1736747813257456, + "grad_norm": 0.2144223302602768, + "learning_rate": 4.975642466987799e-06, + "loss": 0.6302, + "step": 412 + }, + { + "epoch": 0.17409632205711878, + "grad_norm": 0.2207185924053192, + "learning_rate": 4.975486334812096e-06, + "loss": 0.6293, + "step": 413 + }, + { + "epoch": 0.17451786278849193, + "grad_norm": 0.22312521934509277, + "learning_rate": 4.975329706294297e-06, + "loss": 0.6574, + "step": 414 + }, + { + "epoch": 0.17493940351986512, + "grad_norm": 0.21296381950378418, + "learning_rate": 4.975172581465806e-06, + "loss": 0.6432, + "step": 415 + }, + { + "epoch": 0.17536094425123827, + "grad_norm": 0.21974453330039978, + "learning_rate": 4.975014960358126e-06, + "loss": 0.6406, + "step": 416 + }, + { + "epoch": 0.17578248498261145, + "grad_norm": 0.22318316996097565, + "learning_rate": 4.974856843002863e-06, + "loss": 0.6444, + "step": 417 + }, + { + "epoch": 0.1762040257139846, + "grad_norm": 0.23577533662319183, + "learning_rate": 4.974698229431718e-06, + "loss": 0.657, + "step": 418 + }, + { + "epoch": 0.1766255664453578, + "grad_norm": 0.23191891610622406, + "learning_rate": 4.9745391196764936e-06, + "loss": 0.6507, + "step": 419 + }, + { + "epoch": 0.17704710717673094, + "grad_norm": 0.22186735272407532, + "learning_rate": 4.974379513769093e-06, + "loss": 0.6517, + "step": 420 + }, + { + "epoch": 0.17746864790810413, + "grad_norm": 0.23127466440200806, + "learning_rate": 4.974219411741516e-06, + "loss": 0.6619, + "step": 421 + }, + { + "epoch": 0.17789018863947728, + "grad_norm": 0.22906289994716644, + "learning_rate": 4.974058813625865e-06, + "loss": 0.6456, + "step": 422 + }, + { + "epoch": 0.17831172937085046, + "grad_norm": 0.22450274229049683, + "learning_rate": 4.973897719454339e-06, + "loss": 0.6628, + "step": 423 + }, + { + "epoch": 0.17873327010222362, + "grad_norm": 0.2400558739900589, + "learning_rate": 4.973736129259239e-06, + "loss": 0.6606, + "step": 424 + }, + { + "epoch": 0.1791548108335968, + "grad_norm": 0.23657605051994324, + "learning_rate": 4.973574043072963e-06, + "loss": 0.6195, + "step": 425 + }, + { + "epoch": 0.17957635156496995, + "grad_norm": 0.21887663006782532, + "learning_rate": 4.973411460928011e-06, + "loss": 0.6379, + "step": 426 + }, + { + "epoch": 0.17999789229634314, + "grad_norm": 0.22087790071964264, + "learning_rate": 4.973248382856981e-06, + "loss": 0.6206, + "step": 427 + }, + { + "epoch": 0.1804194330277163, + "grad_norm": 0.2348846197128296, + "learning_rate": 4.973084808892571e-06, + "loss": 0.6543, + "step": 428 + }, + { + "epoch": 0.18084097375908947, + "grad_norm": 0.23617230355739594, + "learning_rate": 4.972920739067576e-06, + "loss": 0.6679, + "step": 429 + }, + { + "epoch": 0.18126251449046263, + "grad_norm": 0.22668734192848206, + "learning_rate": 4.972756173414895e-06, + "loss": 0.6269, + "step": 430 + }, + { + "epoch": 0.1816840552218358, + "grad_norm": 0.2268986999988556, + "learning_rate": 4.972591111967523e-06, + "loss": 0.6393, + "step": 431 + }, + { + "epoch": 0.18210559595320897, + "grad_norm": 0.22111493349075317, + "learning_rate": 4.972425554758554e-06, + "loss": 0.6618, + "step": 432 + }, + { + "epoch": 0.18252713668458215, + "grad_norm": 0.22980272769927979, + "learning_rate": 4.972259501821184e-06, + "loss": 0.6473, + "step": 433 + }, + { + "epoch": 0.18294867741595533, + "grad_norm": 0.2237127721309662, + "learning_rate": 4.9720929531887075e-06, + "loss": 0.6571, + "step": 434 + }, + { + "epoch": 0.18337021814732848, + "grad_norm": 0.22420798242092133, + "learning_rate": 4.971925908894517e-06, + "loss": 0.6362, + "step": 435 + }, + { + "epoch": 0.18379175887870167, + "grad_norm": 0.21993198990821838, + "learning_rate": 4.971758368972105e-06, + "loss": 0.6634, + "step": 436 + }, + { + "epoch": 0.18421329961007482, + "grad_norm": 0.22855877876281738, + "learning_rate": 4.9715903334550654e-06, + "loss": 0.6481, + "step": 437 + }, + { + "epoch": 0.184634840341448, + "grad_norm": 0.22450317442417145, + "learning_rate": 4.9714218023770885e-06, + "loss": 0.6404, + "step": 438 + }, + { + "epoch": 0.18505638107282116, + "grad_norm": 0.22329369187355042, + "learning_rate": 4.971252775771965e-06, + "loss": 0.659, + "step": 439 + }, + { + "epoch": 0.18547792180419434, + "grad_norm": 0.22804588079452515, + "learning_rate": 4.971083253673587e-06, + "loss": 0.6469, + "step": 440 + }, + { + "epoch": 0.1858994625355675, + "grad_norm": 0.22212441265583038, + "learning_rate": 4.970913236115942e-06, + "loss": 0.6594, + "step": 441 + }, + { + "epoch": 0.18632100326694068, + "grad_norm": 0.2262367606163025, + "learning_rate": 4.97074272313312e-06, + "loss": 0.6328, + "step": 442 + }, + { + "epoch": 0.18674254399831383, + "grad_norm": 0.22934353351593018, + "learning_rate": 4.97057171475931e-06, + "loss": 0.6617, + "step": 443 + }, + { + "epoch": 0.187164084729687, + "grad_norm": 0.2225915640592575, + "learning_rate": 4.970400211028798e-06, + "loss": 0.6272, + "step": 444 + }, + { + "epoch": 0.18758562546106017, + "grad_norm": 0.2209312468767166, + "learning_rate": 4.970228211975973e-06, + "loss": 0.6557, + "step": 445 + }, + { + "epoch": 0.18800716619243335, + "grad_norm": 0.21495817601680756, + "learning_rate": 4.970055717635321e-06, + "loss": 0.631, + "step": 446 + }, + { + "epoch": 0.1884287069238065, + "grad_norm": 0.23232516646385193, + "learning_rate": 4.969882728041425e-06, + "loss": 0.67, + "step": 447 + }, + { + "epoch": 0.1888502476551797, + "grad_norm": 0.22030207514762878, + "learning_rate": 4.969709243228972e-06, + "loss": 0.6181, + "step": 448 + }, + { + "epoch": 0.18927178838655284, + "grad_norm": 0.2210187464952469, + "learning_rate": 4.969535263232747e-06, + "loss": 0.6505, + "step": 449 + }, + { + "epoch": 0.18969332911792602, + "grad_norm": 0.21762901544570923, + "learning_rate": 4.969360788087632e-06, + "loss": 0.6316, + "step": 450 + }, + { + "epoch": 0.19011486984929918, + "grad_norm": 0.21815869212150574, + "learning_rate": 4.96918581782861e-06, + "loss": 0.6379, + "step": 451 + }, + { + "epoch": 0.19053641058067236, + "grad_norm": 0.22199398279190063, + "learning_rate": 4.969010352490764e-06, + "loss": 0.6366, + "step": 452 + }, + { + "epoch": 0.19095795131204552, + "grad_norm": 0.22442398965358734, + "learning_rate": 4.968834392109274e-06, + "loss": 0.6407, + "step": 453 + }, + { + "epoch": 0.1913794920434187, + "grad_norm": 0.21754616498947144, + "learning_rate": 4.968657936719422e-06, + "loss": 0.6285, + "step": 454 + }, + { + "epoch": 0.19180103277479185, + "grad_norm": 0.20777983963489532, + "learning_rate": 4.968480986356586e-06, + "loss": 0.6651, + "step": 455 + }, + { + "epoch": 0.19222257350616503, + "grad_norm": 0.22279435396194458, + "learning_rate": 4.968303541056247e-06, + "loss": 0.6319, + "step": 456 + }, + { + "epoch": 0.1926441142375382, + "grad_norm": 0.2189827561378479, + "learning_rate": 4.968125600853982e-06, + "loss": 0.6609, + "step": 457 + }, + { + "epoch": 0.19306565496891137, + "grad_norm": 0.22233273088932037, + "learning_rate": 4.967947165785467e-06, + "loss": 0.6571, + "step": 458 + }, + { + "epoch": 0.19348719570028455, + "grad_norm": 0.21394787728786469, + "learning_rate": 4.967768235886483e-06, + "loss": 0.6478, + "step": 459 + }, + { + "epoch": 0.1939087364316577, + "grad_norm": 0.23329754173755646, + "learning_rate": 4.967588811192902e-06, + "loss": 0.662, + "step": 460 + }, + { + "epoch": 0.1943302771630309, + "grad_norm": 0.2127532660961151, + "learning_rate": 4.967408891740702e-06, + "loss": 0.6594, + "step": 461 + }, + { + "epoch": 0.19475181789440404, + "grad_norm": 0.22482381761074066, + "learning_rate": 4.967228477565955e-06, + "loss": 0.6587, + "step": 462 + }, + { + "epoch": 0.19517335862577723, + "grad_norm": 0.23118707537651062, + "learning_rate": 4.967047568704836e-06, + "loss": 0.6379, + "step": 463 + }, + { + "epoch": 0.19559489935715038, + "grad_norm": 0.21856175363063812, + "learning_rate": 4.966866165193617e-06, + "loss": 0.6586, + "step": 464 + }, + { + "epoch": 0.19601644008852356, + "grad_norm": 0.21749050915241241, + "learning_rate": 4.966684267068671e-06, + "loss": 0.6654, + "step": 465 + }, + { + "epoch": 0.19643798081989672, + "grad_norm": 0.22064447402954102, + "learning_rate": 4.9665018743664676e-06, + "loss": 0.6404, + "step": 466 + }, + { + "epoch": 0.1968595215512699, + "grad_norm": 0.2192775160074234, + "learning_rate": 4.9663189871235784e-06, + "loss": 0.6662, + "step": 467 + }, + { + "epoch": 0.19728106228264305, + "grad_norm": 0.22765064239501953, + "learning_rate": 4.966135605376672e-06, + "loss": 0.6206, + "step": 468 + }, + { + "epoch": 0.19770260301401624, + "grad_norm": 0.21945759654045105, + "learning_rate": 4.965951729162517e-06, + "loss": 0.6589, + "step": 469 + }, + { + "epoch": 0.1981241437453894, + "grad_norm": 0.22714141011238098, + "learning_rate": 4.965767358517982e-06, + "loss": 0.6597, + "step": 470 + }, + { + "epoch": 0.19854568447676257, + "grad_norm": 0.21871019899845123, + "learning_rate": 4.9655824934800325e-06, + "loss": 0.6449, + "step": 471 + }, + { + "epoch": 0.19896722520813573, + "grad_norm": 0.23086382448673248, + "learning_rate": 4.965397134085736e-06, + "loss": 0.6607, + "step": 472 + }, + { + "epoch": 0.1993887659395089, + "grad_norm": 0.22550630569458008, + "learning_rate": 4.965211280372256e-06, + "loss": 0.6494, + "step": 473 + }, + { + "epoch": 0.19981030667088207, + "grad_norm": 0.2192370444536209, + "learning_rate": 4.965024932376857e-06, + "loss": 0.6421, + "step": 474 + }, + { + "epoch": 0.20023184740225525, + "grad_norm": 0.23266327381134033, + "learning_rate": 4.9648380901369044e-06, + "loss": 0.6672, + "step": 475 + }, + { + "epoch": 0.2006533881336284, + "grad_norm": 0.21692770719528198, + "learning_rate": 4.964650753689857e-06, + "loss": 0.6454, + "step": 476 + }, + { + "epoch": 0.20107492886500158, + "grad_norm": 0.22346735000610352, + "learning_rate": 4.96446292307328e-06, + "loss": 0.6438, + "step": 477 + }, + { + "epoch": 0.20149646959637474, + "grad_norm": 0.22075144946575165, + "learning_rate": 4.964274598324831e-06, + "loss": 0.6704, + "step": 478 + }, + { + "epoch": 0.20191801032774792, + "grad_norm": 0.22169655561447144, + "learning_rate": 4.964085779482271e-06, + "loss": 0.6341, + "step": 479 + }, + { + "epoch": 0.20233955105912108, + "grad_norm": 0.2210836112499237, + "learning_rate": 4.963896466583459e-06, + "loss": 0.6558, + "step": 480 + }, + { + "epoch": 0.20276109179049426, + "grad_norm": 0.22162769734859467, + "learning_rate": 4.963706659666352e-06, + "loss": 0.6541, + "step": 481 + }, + { + "epoch": 0.2031826325218674, + "grad_norm": 0.2314087152481079, + "learning_rate": 4.963516358769007e-06, + "loss": 0.6314, + "step": 482 + }, + { + "epoch": 0.2036041732532406, + "grad_norm": 0.22203563153743744, + "learning_rate": 4.963325563929581e-06, + "loss": 0.6438, + "step": 483 + }, + { + "epoch": 0.20402571398461378, + "grad_norm": 0.22781838476657867, + "learning_rate": 4.963134275186327e-06, + "loss": 0.6444, + "step": 484 + }, + { + "epoch": 0.20444725471598693, + "grad_norm": 0.2267368882894516, + "learning_rate": 4.9629424925776e-06, + "loss": 0.6477, + "step": 485 + }, + { + "epoch": 0.2048687954473601, + "grad_norm": 0.2233951836824417, + "learning_rate": 4.962750216141854e-06, + "loss": 0.6492, + "step": 486 + }, + { + "epoch": 0.20529033617873327, + "grad_norm": 0.23200178146362305, + "learning_rate": 4.9625574459176385e-06, + "loss": 0.6959, + "step": 487 + }, + { + "epoch": 0.20571187691010645, + "grad_norm": 0.23076531291007996, + "learning_rate": 4.962364181943606e-06, + "loss": 0.6435, + "step": 488 + }, + { + "epoch": 0.2061334176414796, + "grad_norm": 0.23725484311580658, + "learning_rate": 4.962170424258508e-06, + "loss": 0.6642, + "step": 489 + }, + { + "epoch": 0.2065549583728528, + "grad_norm": 0.2263781726360321, + "learning_rate": 4.961976172901189e-06, + "loss": 0.6212, + "step": 490 + }, + { + "epoch": 0.20697649910422594, + "grad_norm": 0.22753490507602692, + "learning_rate": 4.961781427910602e-06, + "loss": 0.6547, + "step": 491 + }, + { + "epoch": 0.20739803983559912, + "grad_norm": 0.22493496537208557, + "learning_rate": 4.961586189325791e-06, + "loss": 0.6449, + "step": 492 + }, + { + "epoch": 0.20781958056697228, + "grad_norm": 0.23242434859275818, + "learning_rate": 4.961390457185902e-06, + "loss": 0.6636, + "step": 493 + }, + { + "epoch": 0.20824112129834546, + "grad_norm": 0.2310808002948761, + "learning_rate": 4.961194231530181e-06, + "loss": 0.649, + "step": 494 + }, + { + "epoch": 0.20866266202971862, + "grad_norm": 0.22858233749866486, + "learning_rate": 4.960997512397971e-06, + "loss": 0.6558, + "step": 495 + }, + { + "epoch": 0.2090842027610918, + "grad_norm": 0.22522948682308197, + "learning_rate": 4.960800299828715e-06, + "loss": 0.6699, + "step": 496 + }, + { + "epoch": 0.20950574349246495, + "grad_norm": 0.2328474521636963, + "learning_rate": 4.960602593861955e-06, + "loss": 0.6489, + "step": 497 + }, + { + "epoch": 0.20992728422383813, + "grad_norm": 0.2228248119354248, + "learning_rate": 4.96040439453733e-06, + "loss": 0.6617, + "step": 498 + }, + { + "epoch": 0.2103488249552113, + "grad_norm": 0.23502282798290253, + "learning_rate": 4.960205701894583e-06, + "loss": 0.6553, + "step": 499 + }, + { + "epoch": 0.21077036568658447, + "grad_norm": 0.22323139011859894, + "learning_rate": 4.960006515973548e-06, + "loss": 0.6329, + "step": 500 + }, + { + "epoch": 0.21119190641795763, + "grad_norm": 0.2224983423948288, + "learning_rate": 4.959806836814166e-06, + "loss": 0.6451, + "step": 501 + }, + { + "epoch": 0.2116134471493308, + "grad_norm": 0.22500398755073547, + "learning_rate": 4.9596066644564715e-06, + "loss": 0.6219, + "step": 502 + }, + { + "epoch": 0.21203498788070396, + "grad_norm": 0.22492237389087677, + "learning_rate": 4.9594059989406e-06, + "loss": 0.6564, + "step": 503 + }, + { + "epoch": 0.21245652861207714, + "grad_norm": 0.23181870579719543, + "learning_rate": 4.959204840306785e-06, + "loss": 0.6504, + "step": 504 + }, + { + "epoch": 0.2128780693434503, + "grad_norm": 0.22693991661071777, + "learning_rate": 4.95900318859536e-06, + "loss": 0.647, + "step": 505 + }, + { + "epoch": 0.21329961007482348, + "grad_norm": 0.23504593968391418, + "learning_rate": 4.958801043846757e-06, + "loss": 0.6242, + "step": 506 + }, + { + "epoch": 0.21372115080619664, + "grad_norm": 0.2442081719636917, + "learning_rate": 4.9585984061015065e-06, + "loss": 0.6764, + "step": 507 + }, + { + "epoch": 0.21414269153756982, + "grad_norm": 0.23746952414512634, + "learning_rate": 4.958395275400237e-06, + "loss": 0.6612, + "step": 508 + }, + { + "epoch": 0.214564232268943, + "grad_norm": 0.23237504065036774, + "learning_rate": 4.958191651783678e-06, + "loss": 0.6793, + "step": 509 + }, + { + "epoch": 0.21498577300031615, + "grad_norm": 0.23623941838741302, + "learning_rate": 4.957987535292656e-06, + "loss": 0.6412, + "step": 510 + }, + { + "epoch": 0.21540731373168934, + "grad_norm": 0.23477403819561005, + "learning_rate": 4.957782925968096e-06, + "loss": 0.6673, + "step": 511 + }, + { + "epoch": 0.2158288544630625, + "grad_norm": 0.21841122210025787, + "learning_rate": 4.9575778238510245e-06, + "loss": 0.64, + "step": 512 + }, + { + "epoch": 0.21625039519443567, + "grad_norm": 0.22514000535011292, + "learning_rate": 4.957372228982564e-06, + "loss": 0.6522, + "step": 513 + }, + { + "epoch": 0.21667193592580883, + "grad_norm": 0.2274819165468216, + "learning_rate": 4.957166141403938e-06, + "loss": 0.6697, + "step": 514 + }, + { + "epoch": 0.217093476657182, + "grad_norm": 0.24151133000850677, + "learning_rate": 4.956959561156466e-06, + "loss": 0.6647, + "step": 515 + }, + { + "epoch": 0.21751501738855517, + "grad_norm": 0.2281079739332199, + "learning_rate": 4.956752488281569e-06, + "loss": 0.6029, + "step": 516 + }, + { + "epoch": 0.21793655811992835, + "grad_norm": 0.24034132063388824, + "learning_rate": 4.956544922820765e-06, + "loss": 0.6634, + "step": 517 + }, + { + "epoch": 0.2183580988513015, + "grad_norm": 0.2356782704591751, + "learning_rate": 4.956336864815673e-06, + "loss": 0.6233, + "step": 518 + }, + { + "epoch": 0.21877963958267468, + "grad_norm": 0.23048047721385956, + "learning_rate": 4.956128314308007e-06, + "loss": 0.6509, + "step": 519 + }, + { + "epoch": 0.21920118031404784, + "grad_norm": 0.23716945946216583, + "learning_rate": 4.9559192713395835e-06, + "loss": 0.6414, + "step": 520 + }, + { + "epoch": 0.21962272104542102, + "grad_norm": 0.22305086255073547, + "learning_rate": 4.955709735952317e-06, + "loss": 0.6242, + "step": 521 + }, + { + "epoch": 0.22004426177679418, + "grad_norm": 0.25302743911743164, + "learning_rate": 4.955499708188217e-06, + "loss": 0.6416, + "step": 522 + }, + { + "epoch": 0.22046580250816736, + "grad_norm": 0.2288902997970581, + "learning_rate": 4.9552891880893975e-06, + "loss": 0.6564, + "step": 523 + }, + { + "epoch": 0.2208873432395405, + "grad_norm": 0.22555950284004211, + "learning_rate": 4.955078175698067e-06, + "loss": 0.6402, + "step": 524 + }, + { + "epoch": 0.2213088839709137, + "grad_norm": 0.22635763883590698, + "learning_rate": 4.954866671056534e-06, + "loss": 0.6776, + "step": 525 + }, + { + "epoch": 0.22173042470228685, + "grad_norm": 0.2513132393360138, + "learning_rate": 4.954654674207207e-06, + "loss": 0.6291, + "step": 526 + }, + { + "epoch": 0.22215196543366003, + "grad_norm": 0.24248895049095154, + "learning_rate": 4.95444218519259e-06, + "loss": 0.6473, + "step": 527 + }, + { + "epoch": 0.22257350616503319, + "grad_norm": 0.23155072331428528, + "learning_rate": 4.9542292040552905e-06, + "loss": 0.6617, + "step": 528 + }, + { + "epoch": 0.22299504689640637, + "grad_norm": 0.22736796736717224, + "learning_rate": 4.95401573083801e-06, + "loss": 0.6436, + "step": 529 + }, + { + "epoch": 0.22341658762777952, + "grad_norm": 0.23843534290790558, + "learning_rate": 4.953801765583549e-06, + "loss": 0.6523, + "step": 530 + }, + { + "epoch": 0.2238381283591527, + "grad_norm": 0.2373620867729187, + "learning_rate": 4.953587308334812e-06, + "loss": 0.6434, + "step": 531 + }, + { + "epoch": 0.22425966909052586, + "grad_norm": 0.22916729748249054, + "learning_rate": 4.953372359134795e-06, + "loss": 0.6298, + "step": 532 + }, + { + "epoch": 0.22468120982189904, + "grad_norm": 0.23192116618156433, + "learning_rate": 4.953156918026597e-06, + "loss": 0.6307, + "step": 533 + }, + { + "epoch": 0.2251027505532722, + "grad_norm": 0.23496942222118378, + "learning_rate": 4.9529409850534134e-06, + "loss": 0.6604, + "step": 534 + }, + { + "epoch": 0.22552429128464538, + "grad_norm": 0.2322310507297516, + "learning_rate": 4.952724560258543e-06, + "loss": 0.6559, + "step": 535 + }, + { + "epoch": 0.22594583201601856, + "grad_norm": 0.23275437951087952, + "learning_rate": 4.952507643685375e-06, + "loss": 0.6479, + "step": 536 + }, + { + "epoch": 0.22636737274739172, + "grad_norm": 0.23254382610321045, + "learning_rate": 4.952290235377405e-06, + "loss": 0.6294, + "step": 537 + }, + { + "epoch": 0.2267889134787649, + "grad_norm": 0.23082607984542847, + "learning_rate": 4.952072335378223e-06, + "loss": 0.607, + "step": 538 + }, + { + "epoch": 0.22721045421013805, + "grad_norm": 0.23705212771892548, + "learning_rate": 4.951853943731518e-06, + "loss": 0.6502, + "step": 539 + }, + { + "epoch": 0.22763199494151123, + "grad_norm": 0.23072996735572815, + "learning_rate": 4.951635060481079e-06, + "loss": 0.6508, + "step": 540 + }, + { + "epoch": 0.2280535356728844, + "grad_norm": 0.21911437809467316, + "learning_rate": 4.951415685670793e-06, + "loss": 0.6112, + "step": 541 + }, + { + "epoch": 0.22847507640425757, + "grad_norm": 0.22660993039608002, + "learning_rate": 4.951195819344644e-06, + "loss": 0.6417, + "step": 542 + }, + { + "epoch": 0.22889661713563073, + "grad_norm": 0.23092220723628998, + "learning_rate": 4.950975461546716e-06, + "loss": 0.6524, + "step": 543 + }, + { + "epoch": 0.2293181578670039, + "grad_norm": 0.23236800730228424, + "learning_rate": 4.9507546123211926e-06, + "loss": 0.6595, + "step": 544 + }, + { + "epoch": 0.22973969859837706, + "grad_norm": 0.2335730642080307, + "learning_rate": 4.950533271712353e-06, + "loss": 0.6396, + "step": 545 + }, + { + "epoch": 0.23016123932975024, + "grad_norm": 0.23026856780052185, + "learning_rate": 4.950311439764579e-06, + "loss": 0.6514, + "step": 546 + }, + { + "epoch": 0.2305827800611234, + "grad_norm": 0.22758536040782928, + "learning_rate": 4.950089116522347e-06, + "loss": 0.6575, + "step": 547 + }, + { + "epoch": 0.23100432079249658, + "grad_norm": 0.24229104816913605, + "learning_rate": 4.949866302030232e-06, + "loss": 0.6465, + "step": 548 + }, + { + "epoch": 0.23142586152386974, + "grad_norm": 0.24203070998191833, + "learning_rate": 4.949642996332912e-06, + "loss": 0.6248, + "step": 549 + }, + { + "epoch": 0.23184740225524292, + "grad_norm": 0.23183302581310272, + "learning_rate": 4.949419199475159e-06, + "loss": 0.6478, + "step": 550 + }, + { + "epoch": 0.23226894298661607, + "grad_norm": 0.2225986272096634, + "learning_rate": 4.949194911501843e-06, + "loss": 0.6524, + "step": 551 + }, + { + "epoch": 0.23269048371798925, + "grad_norm": 0.22970671951770782, + "learning_rate": 4.948970132457938e-06, + "loss": 0.6479, + "step": 552 + }, + { + "epoch": 0.2331120244493624, + "grad_norm": 0.22436730563640594, + "learning_rate": 4.94874486238851e-06, + "loss": 0.6435, + "step": 553 + }, + { + "epoch": 0.2335335651807356, + "grad_norm": 0.2407492846250534, + "learning_rate": 4.948519101338729e-06, + "loss": 0.6237, + "step": 554 + }, + { + "epoch": 0.23395510591210875, + "grad_norm": 0.23236878216266632, + "learning_rate": 4.948292849353858e-06, + "loss": 0.6445, + "step": 555 + }, + { + "epoch": 0.23437664664348193, + "grad_norm": 0.22568278014659882, + "learning_rate": 4.948066106479262e-06, + "loss": 0.6358, + "step": 556 + }, + { + "epoch": 0.23479818737485508, + "grad_norm": 0.2250591665506363, + "learning_rate": 4.947838872760404e-06, + "loss": 0.6168, + "step": 557 + }, + { + "epoch": 0.23521972810622827, + "grad_norm": 0.23011131584644318, + "learning_rate": 4.947611148242846e-06, + "loss": 0.6548, + "step": 558 + }, + { + "epoch": 0.23564126883760142, + "grad_norm": 0.22665046155452728, + "learning_rate": 4.947382932972245e-06, + "loss": 0.6691, + "step": 559 + }, + { + "epoch": 0.2360628095689746, + "grad_norm": 0.2275232970714569, + "learning_rate": 4.94715422699436e-06, + "loss": 0.6531, + "step": 560 + }, + { + "epoch": 0.23648435030034778, + "grad_norm": 0.23100855946540833, + "learning_rate": 4.946925030355049e-06, + "loss": 0.6181, + "step": 561 + }, + { + "epoch": 0.23690589103172094, + "grad_norm": 0.2354455590248108, + "learning_rate": 4.9466953431002634e-06, + "loss": 0.6543, + "step": 562 + }, + { + "epoch": 0.23732743176309412, + "grad_norm": 0.23215655982494354, + "learning_rate": 4.946465165276058e-06, + "loss": 0.6615, + "step": 563 + }, + { + "epoch": 0.23774897249446728, + "grad_norm": 0.2307896912097931, + "learning_rate": 4.9462344969285835e-06, + "loss": 0.6296, + "step": 564 + }, + { + "epoch": 0.23817051322584046, + "grad_norm": 0.2466116100549698, + "learning_rate": 4.946003338104091e-06, + "loss": 0.6794, + "step": 565 + }, + { + "epoch": 0.2385920539572136, + "grad_norm": 0.22987677156925201, + "learning_rate": 4.945771688848926e-06, + "loss": 0.6555, + "step": 566 + }, + { + "epoch": 0.2390135946885868, + "grad_norm": 0.22888435423374176, + "learning_rate": 4.945539549209537e-06, + "loss": 0.6651, + "step": 567 + }, + { + "epoch": 0.23943513541995995, + "grad_norm": 0.22943688929080963, + "learning_rate": 4.9453069192324675e-06, + "loss": 0.6517, + "step": 568 + }, + { + "epoch": 0.23985667615133313, + "grad_norm": 0.2373216152191162, + "learning_rate": 4.94507379896436e-06, + "loss": 0.6348, + "step": 569 + }, + { + "epoch": 0.24027821688270629, + "grad_norm": 0.23128359019756317, + "learning_rate": 4.944840188451958e-06, + "loss": 0.6548, + "step": 570 + }, + { + "epoch": 0.24069975761407947, + "grad_norm": 0.23508068919181824, + "learning_rate": 4.944606087742099e-06, + "loss": 0.63, + "step": 571 + }, + { + "epoch": 0.24112129834545262, + "grad_norm": 0.24441313743591309, + "learning_rate": 4.944371496881721e-06, + "loss": 0.6485, + "step": 572 + }, + { + "epoch": 0.2415428390768258, + "grad_norm": 0.23405586183071136, + "learning_rate": 4.944136415917862e-06, + "loss": 0.6395, + "step": 573 + }, + { + "epoch": 0.24196437980819896, + "grad_norm": 0.22768528759479523, + "learning_rate": 4.9439008448976545e-06, + "loss": 0.6287, + "step": 574 + }, + { + "epoch": 0.24238592053957214, + "grad_norm": 0.23460225760936737, + "learning_rate": 4.943664783868331e-06, + "loss": 0.6458, + "step": 575 + }, + { + "epoch": 0.2428074612709453, + "grad_norm": 0.23477911949157715, + "learning_rate": 4.9434282328772245e-06, + "loss": 0.6618, + "step": 576 + }, + { + "epoch": 0.24322900200231848, + "grad_norm": 0.2367464154958725, + "learning_rate": 4.943191191971762e-06, + "loss": 0.6503, + "step": 577 + }, + { + "epoch": 0.24365054273369163, + "grad_norm": 0.23600925505161285, + "learning_rate": 4.9429536611994715e-06, + "loss": 0.6617, + "step": 578 + }, + { + "epoch": 0.24407208346506482, + "grad_norm": 0.2309107929468155, + "learning_rate": 4.942715640607979e-06, + "loss": 0.6212, + "step": 579 + }, + { + "epoch": 0.24449362419643797, + "grad_norm": 0.24014215171337128, + "learning_rate": 4.942477130245009e-06, + "loss": 0.6437, + "step": 580 + }, + { + "epoch": 0.24491516492781115, + "grad_norm": 0.23044876754283905, + "learning_rate": 4.942238130158381e-06, + "loss": 0.6494, + "step": 581 + }, + { + "epoch": 0.2453367056591843, + "grad_norm": 0.22551876306533813, + "learning_rate": 4.941998640396018e-06, + "loss": 0.6247, + "step": 582 + }, + { + "epoch": 0.2457582463905575, + "grad_norm": 0.24673812091350555, + "learning_rate": 4.9417586610059366e-06, + "loss": 0.6417, + "step": 583 + }, + { + "epoch": 0.24617978712193064, + "grad_norm": 0.23272879421710968, + "learning_rate": 4.941518192036255e-06, + "loss": 0.6613, + "step": 584 + }, + { + "epoch": 0.24660132785330383, + "grad_norm": 0.22514313459396362, + "learning_rate": 4.941277233535185e-06, + "loss": 0.639, + "step": 585 + }, + { + "epoch": 0.247022868584677, + "grad_norm": 0.24539217352867126, + "learning_rate": 4.941035785551043e-06, + "loss": 0.6453, + "step": 586 + }, + { + "epoch": 0.24744440931605016, + "grad_norm": 0.24861027300357819, + "learning_rate": 4.940793848132237e-06, + "loss": 0.6413, + "step": 587 + }, + { + "epoch": 0.24786595004742334, + "grad_norm": 0.23630225658416748, + "learning_rate": 4.940551421327279e-06, + "loss": 0.638, + "step": 588 + }, + { + "epoch": 0.2482874907787965, + "grad_norm": 0.24242550134658813, + "learning_rate": 4.940308505184773e-06, + "loss": 0.6313, + "step": 589 + }, + { + "epoch": 0.24870903151016968, + "grad_norm": 0.23441772162914276, + "learning_rate": 4.940065099753427e-06, + "loss": 0.6603, + "step": 590 + }, + { + "epoch": 0.24913057224154284, + "grad_norm": 0.230148583650589, + "learning_rate": 4.939821205082045e-06, + "loss": 0.6576, + "step": 591 + }, + { + "epoch": 0.24955211297291602, + "grad_norm": 0.24094484746456146, + "learning_rate": 4.939576821219525e-06, + "loss": 0.6595, + "step": 592 + }, + { + "epoch": 0.24997365370428917, + "grad_norm": 0.24190938472747803, + "learning_rate": 4.93933194821487e-06, + "loss": 0.6572, + "step": 593 + }, + { + "epoch": 0.2503951944356623, + "grad_norm": 0.23510822653770447, + "learning_rate": 4.939086586117177e-06, + "loss": 0.6401, + "step": 594 + }, + { + "epoch": 0.2508167351670355, + "grad_norm": 0.24858558177947998, + "learning_rate": 4.93884073497564e-06, + "loss": 0.646, + "step": 595 + }, + { + "epoch": 0.2512382758984087, + "grad_norm": 0.25159332156181335, + "learning_rate": 4.9385943948395556e-06, + "loss": 0.6773, + "step": 596 + }, + { + "epoch": 0.2516598166297819, + "grad_norm": 0.23862655460834503, + "learning_rate": 4.938347565758313e-06, + "loss": 0.6484, + "step": 597 + }, + { + "epoch": 0.252081357361155, + "grad_norm": 0.24019469320774078, + "learning_rate": 4.938100247781405e-06, + "loss": 0.6456, + "step": 598 + }, + { + "epoch": 0.2525028980925282, + "grad_norm": 0.2486957311630249, + "learning_rate": 4.937852440958417e-06, + "loss": 0.6572, + "step": 599 + }, + { + "epoch": 0.25292443882390137, + "grad_norm": 0.2364828735589981, + "learning_rate": 4.937604145339037e-06, + "loss": 0.6173, + "step": 600 + }, + { + "epoch": 0.25334597955527455, + "grad_norm": 0.24158920347690582, + "learning_rate": 4.937355360973047e-06, + "loss": 0.6515, + "step": 601 + }, + { + "epoch": 0.2537675202866477, + "grad_norm": 0.23431281745433807, + "learning_rate": 4.93710608791033e-06, + "loss": 0.6425, + "step": 602 + }, + { + "epoch": 0.25418906101802086, + "grad_norm": 0.23290280997753143, + "learning_rate": 4.936856326200867e-06, + "loss": 0.6521, + "step": 603 + }, + { + "epoch": 0.25461060174939404, + "grad_norm": 0.23566517233848572, + "learning_rate": 4.936606075894734e-06, + "loss": 0.6633, + "step": 604 + }, + { + "epoch": 0.2550321424807672, + "grad_norm": 0.2343212217092514, + "learning_rate": 4.936355337042109e-06, + "loss": 0.6336, + "step": 605 + }, + { + "epoch": 0.25545368321214035, + "grad_norm": 0.2344362884759903, + "learning_rate": 4.936104109693264e-06, + "loss": 0.6393, + "step": 606 + }, + { + "epoch": 0.25587522394351353, + "grad_norm": 0.2336214780807495, + "learning_rate": 4.9358523938985715e-06, + "loss": 0.6687, + "step": 607 + }, + { + "epoch": 0.2562967646748867, + "grad_norm": 0.24387873709201813, + "learning_rate": 4.9356001897085e-06, + "loss": 0.6457, + "step": 608 + }, + { + "epoch": 0.2567183054062599, + "grad_norm": 0.22620625793933868, + "learning_rate": 4.93534749717362e-06, + "loss": 0.6354, + "step": 609 + }, + { + "epoch": 0.257139846137633, + "grad_norm": 0.2580990791320801, + "learning_rate": 4.9350943163445956e-06, + "loss": 0.6321, + "step": 610 + }, + { + "epoch": 0.2575613868690062, + "grad_norm": 0.2368079125881195, + "learning_rate": 4.9348406472721884e-06, + "loss": 0.6405, + "step": 611 + }, + { + "epoch": 0.2579829276003794, + "grad_norm": 0.24162867665290833, + "learning_rate": 4.9345864900072625e-06, + "loss": 0.6569, + "step": 612 + }, + { + "epoch": 0.25840446833175257, + "grad_norm": 0.2327560931444168, + "learning_rate": 4.934331844600777e-06, + "loss": 0.6281, + "step": 613 + }, + { + "epoch": 0.25882600906312575, + "grad_norm": 0.2410680055618286, + "learning_rate": 4.934076711103787e-06, + "loss": 0.6386, + "step": 614 + }, + { + "epoch": 0.2592475497944989, + "grad_norm": 0.236967995762825, + "learning_rate": 4.933821089567448e-06, + "loss": 0.6716, + "step": 615 + }, + { + "epoch": 0.25966909052587206, + "grad_norm": 0.23831325769424438, + "learning_rate": 4.933564980043016e-06, + "loss": 0.6403, + "step": 616 + }, + { + "epoch": 0.26009063125724524, + "grad_norm": 0.23473335802555084, + "learning_rate": 4.933308382581837e-06, + "loss": 0.6506, + "step": 617 + }, + { + "epoch": 0.2605121719886184, + "grad_norm": 0.22875827550888062, + "learning_rate": 4.9330512972353634e-06, + "loss": 0.6468, + "step": 618 + }, + { + "epoch": 0.26093371271999155, + "grad_norm": 0.23231644928455353, + "learning_rate": 4.9327937240551394e-06, + "loss": 0.6653, + "step": 619 + }, + { + "epoch": 0.26135525345136473, + "grad_norm": 0.23044337332248688, + "learning_rate": 4.932535663092809e-06, + "loss": 0.6392, + "step": 620 + }, + { + "epoch": 0.2617767941827379, + "grad_norm": 0.24206477403640747, + "learning_rate": 4.9322771144001155e-06, + "loss": 0.6447, + "step": 621 + }, + { + "epoch": 0.2621983349141111, + "grad_norm": 0.22915469110012054, + "learning_rate": 4.9320180780288975e-06, + "loss": 0.639, + "step": 622 + }, + { + "epoch": 0.2626198756454842, + "grad_norm": 0.2405308037996292, + "learning_rate": 4.931758554031093e-06, + "loss": 0.64, + "step": 623 + }, + { + "epoch": 0.2630414163768574, + "grad_norm": 0.24254557490348816, + "learning_rate": 4.931498542458738e-06, + "loss": 0.6644, + "step": 624 + }, + { + "epoch": 0.2634629571082306, + "grad_norm": 0.24402983486652374, + "learning_rate": 4.931238043363964e-06, + "loss": 0.6504, + "step": 625 + }, + { + "epoch": 0.26388449783960377, + "grad_norm": 0.23167647421360016, + "learning_rate": 4.930977056799003e-06, + "loss": 0.6241, + "step": 626 + }, + { + "epoch": 0.2643060385709769, + "grad_norm": 0.23658999800682068, + "learning_rate": 4.930715582816183e-06, + "loss": 0.6177, + "step": 627 + }, + { + "epoch": 0.2647275793023501, + "grad_norm": 0.23379571735858917, + "learning_rate": 4.930453621467931e-06, + "loss": 0.6213, + "step": 628 + }, + { + "epoch": 0.26514912003372326, + "grad_norm": 0.25034937262535095, + "learning_rate": 4.9301911728067705e-06, + "loss": 0.6495, + "step": 629 + }, + { + "epoch": 0.26557066076509644, + "grad_norm": 0.23181910812854767, + "learning_rate": 4.929928236885324e-06, + "loss": 0.6373, + "step": 630 + }, + { + "epoch": 0.26599220149646957, + "grad_norm": 0.2382071316242218, + "learning_rate": 4.9296648137563095e-06, + "loss": 0.6619, + "step": 631 + }, + { + "epoch": 0.26641374222784275, + "grad_norm": 0.2502119541168213, + "learning_rate": 4.929400903472545e-06, + "loss": 0.6367, + "step": 632 + }, + { + "epoch": 0.26683528295921594, + "grad_norm": 0.2474728375673294, + "learning_rate": 4.929136506086944e-06, + "loss": 0.6489, + "step": 633 + }, + { + "epoch": 0.2672568236905891, + "grad_norm": 0.2416396290063858, + "learning_rate": 4.928871621652521e-06, + "loss": 0.6524, + "step": 634 + }, + { + "epoch": 0.26767836442196224, + "grad_norm": 0.2540903389453888, + "learning_rate": 4.928606250222384e-06, + "loss": 0.6196, + "step": 635 + }, + { + "epoch": 0.2680999051533354, + "grad_norm": 0.24426867067813873, + "learning_rate": 4.928340391849742e-06, + "loss": 0.6482, + "step": 636 + }, + { + "epoch": 0.2685214458847086, + "grad_norm": 0.2426331788301468, + "learning_rate": 4.9280740465879005e-06, + "loss": 0.6472, + "step": 637 + }, + { + "epoch": 0.2689429866160818, + "grad_norm": 0.23949024081230164, + "learning_rate": 4.9278072144902624e-06, + "loss": 0.6422, + "step": 638 + }, + { + "epoch": 0.269364527347455, + "grad_norm": 0.24121366441249847, + "learning_rate": 4.927539895610328e-06, + "loss": 0.6446, + "step": 639 + }, + { + "epoch": 0.2697860680788281, + "grad_norm": 0.23991113901138306, + "learning_rate": 4.927272090001695e-06, + "loss": 0.6287, + "step": 640 + }, + { + "epoch": 0.2702076088102013, + "grad_norm": 0.23528017103672028, + "learning_rate": 4.92700379771806e-06, + "loss": 0.6643, + "step": 641 + }, + { + "epoch": 0.27062914954157447, + "grad_norm": 0.24310113489627838, + "learning_rate": 4.9267350188132155e-06, + "loss": 0.6189, + "step": 642 + }, + { + "epoch": 0.27105069027294765, + "grad_norm": 0.24128517508506775, + "learning_rate": 4.926465753341054e-06, + "loss": 0.6429, + "step": 643 + }, + { + "epoch": 0.2714722310043208, + "grad_norm": 0.2314596027135849, + "learning_rate": 4.926196001355563e-06, + "loss": 0.642, + "step": 644 + }, + { + "epoch": 0.27189377173569396, + "grad_norm": 0.23932240903377533, + "learning_rate": 4.925925762910828e-06, + "loss": 0.6416, + "step": 645 + }, + { + "epoch": 0.27231531246706714, + "grad_norm": 0.2377786934375763, + "learning_rate": 4.925655038061033e-06, + "loss": 0.6403, + "step": 646 + }, + { + "epoch": 0.2727368531984403, + "grad_norm": 0.2351432591676712, + "learning_rate": 4.925383826860459e-06, + "loss": 0.6564, + "step": 647 + }, + { + "epoch": 0.27315839392981345, + "grad_norm": 0.2569757103919983, + "learning_rate": 4.9251121293634855e-06, + "loss": 0.6586, + "step": 648 + }, + { + "epoch": 0.27357993466118663, + "grad_norm": 0.24319124221801758, + "learning_rate": 4.924839945624588e-06, + "loss": 0.6443, + "step": 649 + }, + { + "epoch": 0.2740014753925598, + "grad_norm": 0.23898649215698242, + "learning_rate": 4.92456727569834e-06, + "loss": 0.6427, + "step": 650 + }, + { + "epoch": 0.274423016123933, + "grad_norm": 0.23469041287899017, + "learning_rate": 4.9242941196394124e-06, + "loss": 0.6249, + "step": 651 + }, + { + "epoch": 0.2748445568553061, + "grad_norm": 0.23133525252342224, + "learning_rate": 4.9240204775025746e-06, + "loss": 0.6377, + "step": 652 + }, + { + "epoch": 0.2752660975866793, + "grad_norm": 0.23608164489269257, + "learning_rate": 4.923746349342692e-06, + "loss": 0.6566, + "step": 653 + }, + { + "epoch": 0.2756876383180525, + "grad_norm": 0.24548587203025818, + "learning_rate": 4.923471735214728e-06, + "loss": 0.639, + "step": 654 + }, + { + "epoch": 0.27610917904942567, + "grad_norm": 0.2368946373462677, + "learning_rate": 4.923196635173744e-06, + "loss": 0.626, + "step": 655 + }, + { + "epoch": 0.2765307197807988, + "grad_norm": 0.23965714871883392, + "learning_rate": 4.922921049274897e-06, + "loss": 0.6172, + "step": 656 + }, + { + "epoch": 0.276952260512172, + "grad_norm": 0.24123302102088928, + "learning_rate": 4.922644977573446e-06, + "loss": 0.6523, + "step": 657 + }, + { + "epoch": 0.27737380124354516, + "grad_norm": 0.2342904508113861, + "learning_rate": 4.92236842012474e-06, + "loss": 0.6317, + "step": 658 + }, + { + "epoch": 0.27779534197491834, + "grad_norm": 0.24967117607593536, + "learning_rate": 4.922091376984232e-06, + "loss": 0.6577, + "step": 659 + }, + { + "epoch": 0.27821688270629147, + "grad_norm": 0.2520374655723572, + "learning_rate": 4.921813848207469e-06, + "loss": 0.6535, + "step": 660 + }, + { + "epoch": 0.27863842343766465, + "grad_norm": 0.251691609621048, + "learning_rate": 4.921535833850098e-06, + "loss": 0.6594, + "step": 661 + }, + { + "epoch": 0.27905996416903783, + "grad_norm": 0.2477567046880722, + "learning_rate": 4.92125733396786e-06, + "loss": 0.6614, + "step": 662 + }, + { + "epoch": 0.279481504900411, + "grad_norm": 0.24444128572940826, + "learning_rate": 4.920978348616595e-06, + "loss": 0.627, + "step": 663 + }, + { + "epoch": 0.2799030456317842, + "grad_norm": 0.24467122554779053, + "learning_rate": 4.920698877852242e-06, + "loss": 0.6509, + "step": 664 + }, + { + "epoch": 0.2803245863631573, + "grad_norm": 0.24350443482398987, + "learning_rate": 4.920418921730834e-06, + "loss": 0.6169, + "step": 665 + }, + { + "epoch": 0.2807461270945305, + "grad_norm": 0.2476222813129425, + "learning_rate": 4.920138480308503e-06, + "loss": 0.6631, + "step": 666 + }, + { + "epoch": 0.2811676678259037, + "grad_norm": 0.2540128827095032, + "learning_rate": 4.91985755364148e-06, + "loss": 0.6398, + "step": 667 + }, + { + "epoch": 0.28158920855727687, + "grad_norm": 0.25022536516189575, + "learning_rate": 4.919576141786089e-06, + "loss": 0.6465, + "step": 668 + }, + { + "epoch": 0.28201074928865, + "grad_norm": 0.2424604594707489, + "learning_rate": 4.919294244798757e-06, + "loss": 0.6331, + "step": 669 + }, + { + "epoch": 0.2824322900200232, + "grad_norm": 0.24882696568965912, + "learning_rate": 4.919011862736002e-06, + "loss": 0.6221, + "step": 670 + }, + { + "epoch": 0.28285383075139636, + "grad_norm": 0.2524561583995819, + "learning_rate": 4.918728995654445e-06, + "loss": 0.649, + "step": 671 + }, + { + "epoch": 0.28327537148276954, + "grad_norm": 0.24799224734306335, + "learning_rate": 4.9184456436107996e-06, + "loss": 0.669, + "step": 672 + }, + { + "epoch": 0.28369691221414267, + "grad_norm": 0.2447243630886078, + "learning_rate": 4.918161806661881e-06, + "loss": 0.6357, + "step": 673 + }, + { + "epoch": 0.28411845294551585, + "grad_norm": 0.2402827888727188, + "learning_rate": 4.917877484864597e-06, + "loss": 0.6458, + "step": 674 + }, + { + "epoch": 0.28453999367688904, + "grad_norm": 0.2410714477300644, + "learning_rate": 4.917592678275956e-06, + "loss": 0.6231, + "step": 675 + }, + { + "epoch": 0.2849615344082622, + "grad_norm": 0.2530798614025116, + "learning_rate": 4.917307386953063e-06, + "loss": 0.6479, + "step": 676 + }, + { + "epoch": 0.28538307513963534, + "grad_norm": 0.24118180572986603, + "learning_rate": 4.917021610953119e-06, + "loss": 0.6201, + "step": 677 + }, + { + "epoch": 0.2858046158710085, + "grad_norm": 0.2527044415473938, + "learning_rate": 4.916735350333422e-06, + "loss": 0.6538, + "step": 678 + }, + { + "epoch": 0.2862261566023817, + "grad_norm": 0.2409856915473938, + "learning_rate": 4.916448605151371e-06, + "loss": 0.6569, + "step": 679 + }, + { + "epoch": 0.2866476973337549, + "grad_norm": 0.2408577799797058, + "learning_rate": 4.916161375464455e-06, + "loss": 0.6129, + "step": 680 + }, + { + "epoch": 0.287069238065128, + "grad_norm": 0.2356063276529312, + "learning_rate": 4.915873661330269e-06, + "loss": 0.6367, + "step": 681 + }, + { + "epoch": 0.2874907787965012, + "grad_norm": 0.23885254561901093, + "learning_rate": 4.915585462806497e-06, + "loss": 0.6056, + "step": 682 + }, + { + "epoch": 0.2879123195278744, + "grad_norm": 0.24226675927639008, + "learning_rate": 4.915296779950926e-06, + "loss": 0.6319, + "step": 683 + }, + { + "epoch": 0.28833386025924757, + "grad_norm": 0.22968819737434387, + "learning_rate": 4.915007612821436e-06, + "loss": 0.656, + "step": 684 + }, + { + "epoch": 0.2887554009906207, + "grad_norm": 0.23501384258270264, + "learning_rate": 4.914717961476006e-06, + "loss": 0.6303, + "step": 685 + }, + { + "epoch": 0.2891769417219939, + "grad_norm": 0.24456937611103058, + "learning_rate": 4.9144278259727135e-06, + "loss": 0.6654, + "step": 686 + }, + { + "epoch": 0.28959848245336706, + "grad_norm": 0.25023457407951355, + "learning_rate": 4.9141372063697305e-06, + "loss": 0.6341, + "step": 687 + }, + { + "epoch": 0.29002002318474024, + "grad_norm": 0.23992198705673218, + "learning_rate": 4.913846102725326e-06, + "loss": 0.6535, + "step": 688 + }, + { + "epoch": 0.2904415639161134, + "grad_norm": 0.2526721656322479, + "learning_rate": 4.913554515097868e-06, + "loss": 0.6284, + "step": 689 + }, + { + "epoch": 0.29086310464748655, + "grad_norm": 0.24390150606632233, + "learning_rate": 4.913262443545821e-06, + "loss": 0.6087, + "step": 690 + }, + { + "epoch": 0.29128464537885973, + "grad_norm": 0.23285752534866333, + "learning_rate": 4.912969888127746e-06, + "loss": 0.6377, + "step": 691 + }, + { + "epoch": 0.2917061861102329, + "grad_norm": 0.23910963535308838, + "learning_rate": 4.912676848902301e-06, + "loss": 0.639, + "step": 692 + }, + { + "epoch": 0.2921277268416061, + "grad_norm": 0.24280737340450287, + "learning_rate": 4.912383325928242e-06, + "loss": 0.6493, + "step": 693 + }, + { + "epoch": 0.2925492675729792, + "grad_norm": 0.25216546654701233, + "learning_rate": 4.912089319264421e-06, + "loss": 0.626, + "step": 694 + }, + { + "epoch": 0.2929708083043524, + "grad_norm": 0.2513390779495239, + "learning_rate": 4.9117948289697845e-06, + "loss": 0.658, + "step": 695 + }, + { + "epoch": 0.2933923490357256, + "grad_norm": 0.25428324937820435, + "learning_rate": 4.911499855103382e-06, + "loss": 0.6141, + "step": 696 + }, + { + "epoch": 0.29381388976709877, + "grad_norm": 0.24803313612937927, + "learning_rate": 4.911204397724357e-06, + "loss": 0.6153, + "step": 697 + }, + { + "epoch": 0.2942354304984719, + "grad_norm": 0.25573164224624634, + "learning_rate": 4.910908456891946e-06, + "loss": 0.6282, + "step": 698 + }, + { + "epoch": 0.2946569712298451, + "grad_norm": 0.24843843281269073, + "learning_rate": 4.910612032665488e-06, + "loss": 0.6163, + "step": 699 + }, + { + "epoch": 0.29507851196121826, + "grad_norm": 0.2477579414844513, + "learning_rate": 4.910315125104418e-06, + "loss": 0.6404, + "step": 700 + }, + { + "epoch": 0.29550005269259144, + "grad_norm": 0.24367770552635193, + "learning_rate": 4.910017734268264e-06, + "loss": 0.6545, + "step": 701 + }, + { + "epoch": 0.29592159342396457, + "grad_norm": 0.2565951347351074, + "learning_rate": 4.909719860216658e-06, + "loss": 0.6398, + "step": 702 + }, + { + "epoch": 0.29634313415533775, + "grad_norm": 0.2409091293811798, + "learning_rate": 4.90942150300932e-06, + "loss": 0.6171, + "step": 703 + }, + { + "epoch": 0.29676467488671093, + "grad_norm": 0.26979008316993713, + "learning_rate": 4.909122662706074e-06, + "loss": 0.6314, + "step": 704 + }, + { + "epoch": 0.2971862156180841, + "grad_norm": 0.24505124986171722, + "learning_rate": 4.908823339366838e-06, + "loss": 0.6547, + "step": 705 + }, + { + "epoch": 0.29760775634945724, + "grad_norm": 0.24928990006446838, + "learning_rate": 4.908523533051627e-06, + "loss": 0.6214, + "step": 706 + }, + { + "epoch": 0.2980292970808304, + "grad_norm": 0.2416117638349533, + "learning_rate": 4.908223243820553e-06, + "loss": 0.6086, + "step": 707 + }, + { + "epoch": 0.2984508378122036, + "grad_norm": 0.259198933839798, + "learning_rate": 4.907922471733824e-06, + "loss": 0.6152, + "step": 708 + }, + { + "epoch": 0.2988723785435768, + "grad_norm": 0.24309048056602478, + "learning_rate": 4.907621216851748e-06, + "loss": 0.6251, + "step": 709 + }, + { + "epoch": 0.2992939192749499, + "grad_norm": 0.24457012116909027, + "learning_rate": 4.907319479234726e-06, + "loss": 0.6515, + "step": 710 + }, + { + "epoch": 0.2997154600063231, + "grad_norm": 0.241489976644516, + "learning_rate": 4.907017258943256e-06, + "loss": 0.6434, + "step": 711 + }, + { + "epoch": 0.3001370007376963, + "grad_norm": 0.2522222399711609, + "learning_rate": 4.906714556037936e-06, + "loss": 0.6491, + "step": 712 + }, + { + "epoch": 0.30055854146906946, + "grad_norm": 0.25545766949653625, + "learning_rate": 4.906411370579458e-06, + "loss": 0.6328, + "step": 713 + }, + { + "epoch": 0.30098008220044264, + "grad_norm": 0.25071826577186584, + "learning_rate": 4.906107702628612e-06, + "loss": 0.6062, + "step": 714 + }, + { + "epoch": 0.30140162293181577, + "grad_norm": 0.23720961809158325, + "learning_rate": 4.905803552246284e-06, + "loss": 0.6551, + "step": 715 + }, + { + "epoch": 0.30182316366318895, + "grad_norm": 0.2490943819284439, + "learning_rate": 4.905498919493457e-06, + "loss": 0.6455, + "step": 716 + }, + { + "epoch": 0.30224470439456214, + "grad_norm": 0.24237141013145447, + "learning_rate": 4.90519380443121e-06, + "loss": 0.6218, + "step": 717 + }, + { + "epoch": 0.3026662451259353, + "grad_norm": 0.22884462773799896, + "learning_rate": 4.90488820712072e-06, + "loss": 0.6464, + "step": 718 + }, + { + "epoch": 0.30308778585730844, + "grad_norm": 0.23946937918663025, + "learning_rate": 4.904582127623262e-06, + "loss": 0.6151, + "step": 719 + }, + { + "epoch": 0.3035093265886816, + "grad_norm": 0.2361740618944168, + "learning_rate": 4.904275566000202e-06, + "loss": 0.6212, + "step": 720 + }, + { + "epoch": 0.3039308673200548, + "grad_norm": 0.24641628563404083, + "learning_rate": 4.90396852231301e-06, + "loss": 0.6388, + "step": 721 + }, + { + "epoch": 0.304352408051428, + "grad_norm": 0.23151759803295135, + "learning_rate": 4.903660996623247e-06, + "loss": 0.6162, + "step": 722 + }, + { + "epoch": 0.3047739487828011, + "grad_norm": 0.23785744607448578, + "learning_rate": 4.903352988992574e-06, + "loss": 0.6513, + "step": 723 + }, + { + "epoch": 0.3051954895141743, + "grad_norm": 0.24509042501449585, + "learning_rate": 4.903044499482747e-06, + "loss": 0.6387, + "step": 724 + }, + { + "epoch": 0.3056170302455475, + "grad_norm": 0.2480020523071289, + "learning_rate": 4.902735528155619e-06, + "loss": 0.6377, + "step": 725 + }, + { + "epoch": 0.30603857097692067, + "grad_norm": 0.2569882273674011, + "learning_rate": 4.902426075073139e-06, + "loss": 0.6641, + "step": 726 + }, + { + "epoch": 0.3064601117082938, + "grad_norm": 0.24334286153316498, + "learning_rate": 4.902116140297354e-06, + "loss": 0.639, + "step": 727 + }, + { + "epoch": 0.306881652439667, + "grad_norm": 0.241581529378891, + "learning_rate": 4.901805723890407e-06, + "loss": 0.6092, + "step": 728 + }, + { + "epoch": 0.30730319317104016, + "grad_norm": 0.23744048178195953, + "learning_rate": 4.901494825914537e-06, + "loss": 0.6537, + "step": 729 + }, + { + "epoch": 0.30772473390241334, + "grad_norm": 0.24378854036331177, + "learning_rate": 4.901183446432079e-06, + "loss": 0.6003, + "step": 730 + }, + { + "epoch": 0.30814627463378647, + "grad_norm": 0.24870693683624268, + "learning_rate": 4.9008715855054674e-06, + "loss": 0.6252, + "step": 731 + }, + { + "epoch": 0.30856781536515965, + "grad_norm": 0.24152925610542297, + "learning_rate": 4.9005592431972306e-06, + "loss": 0.6372, + "step": 732 + }, + { + "epoch": 0.30898935609653283, + "grad_norm": 0.25459250807762146, + "learning_rate": 4.900246419569993e-06, + "loss": 0.6274, + "step": 733 + }, + { + "epoch": 0.309410896827906, + "grad_norm": 0.24936500191688538, + "learning_rate": 4.899933114686477e-06, + "loss": 0.6015, + "step": 734 + }, + { + "epoch": 0.30983243755927914, + "grad_norm": 0.2448284775018692, + "learning_rate": 4.8996193286095015e-06, + "loss": 0.611, + "step": 735 + }, + { + "epoch": 0.3102539782906523, + "grad_norm": 0.2678229808807373, + "learning_rate": 4.899305061401983e-06, + "loss": 0.6311, + "step": 736 + }, + { + "epoch": 0.3106755190220255, + "grad_norm": 0.26180657744407654, + "learning_rate": 4.89899031312693e-06, + "loss": 0.6033, + "step": 737 + }, + { + "epoch": 0.3110970597533987, + "grad_norm": 0.2456626296043396, + "learning_rate": 4.898675083847453e-06, + "loss": 0.6353, + "step": 738 + }, + { + "epoch": 0.31151860048477187, + "grad_norm": 0.25847429037094116, + "learning_rate": 4.898359373626755e-06, + "loss": 0.6465, + "step": 739 + }, + { + "epoch": 0.311940141216145, + "grad_norm": 0.24212178587913513, + "learning_rate": 4.898043182528136e-06, + "loss": 0.6338, + "step": 740 + }, + { + "epoch": 0.3123616819475182, + "grad_norm": 0.25338494777679443, + "learning_rate": 4.897726510614995e-06, + "loss": 0.6451, + "step": 741 + }, + { + "epoch": 0.31278322267889136, + "grad_norm": 0.25079071521759033, + "learning_rate": 4.897409357950826e-06, + "loss": 0.6608, + "step": 742 + }, + { + "epoch": 0.31320476341026454, + "grad_norm": 0.26444000005722046, + "learning_rate": 4.897091724599217e-06, + "loss": 0.6153, + "step": 743 + }, + { + "epoch": 0.31362630414163767, + "grad_norm": 0.24816632270812988, + "learning_rate": 4.896773610623855e-06, + "loss": 0.6135, + "step": 744 + }, + { + "epoch": 0.31404784487301085, + "grad_norm": 0.24375613033771515, + "learning_rate": 4.896455016088524e-06, + "loss": 0.6487, + "step": 745 + }, + { + "epoch": 0.31446938560438403, + "grad_norm": 0.24404917657375336, + "learning_rate": 4.896135941057102e-06, + "loss": 0.6519, + "step": 746 + }, + { + "epoch": 0.3148909263357572, + "grad_norm": 0.24915026128292084, + "learning_rate": 4.8958163855935645e-06, + "loss": 0.623, + "step": 747 + }, + { + "epoch": 0.31531246706713034, + "grad_norm": 0.25012120604515076, + "learning_rate": 4.895496349761983e-06, + "loss": 0.6493, + "step": 748 + }, + { + "epoch": 0.3157340077985035, + "grad_norm": 0.250488817691803, + "learning_rate": 4.895175833626527e-06, + "loss": 0.6508, + "step": 749 + }, + { + "epoch": 0.3161555485298767, + "grad_norm": 0.2555750012397766, + "learning_rate": 4.894854837251459e-06, + "loss": 0.6038, + "step": 750 + }, + { + "epoch": 0.3165770892612499, + "grad_norm": 0.24569761753082275, + "learning_rate": 4.894533360701141e-06, + "loss": 0.625, + "step": 751 + }, + { + "epoch": 0.316998629992623, + "grad_norm": 0.25181856751441956, + "learning_rate": 4.89421140404003e-06, + "loss": 0.6228, + "step": 752 + }, + { + "epoch": 0.3174201707239962, + "grad_norm": 0.2686469256877899, + "learning_rate": 4.893888967332679e-06, + "loss": 0.6522, + "step": 753 + }, + { + "epoch": 0.3178417114553694, + "grad_norm": 0.24826131761074066, + "learning_rate": 4.893566050643738e-06, + "loss": 0.6144, + "step": 754 + }, + { + "epoch": 0.31826325218674256, + "grad_norm": 0.24306431412696838, + "learning_rate": 4.89324265403795e-06, + "loss": 0.6756, + "step": 755 + }, + { + "epoch": 0.3186847929181157, + "grad_norm": 0.24478738009929657, + "learning_rate": 4.892918777580161e-06, + "loss": 0.654, + "step": 756 + }, + { + "epoch": 0.31910633364948887, + "grad_norm": 0.2635796070098877, + "learning_rate": 4.892594421335306e-06, + "loss": 0.6443, + "step": 757 + }, + { + "epoch": 0.31952787438086205, + "grad_norm": 0.2445783019065857, + "learning_rate": 4.892269585368421e-06, + "loss": 0.6463, + "step": 758 + }, + { + "epoch": 0.31994941511223524, + "grad_norm": 0.2572665512561798, + "learning_rate": 4.891944269744636e-06, + "loss": 0.6554, + "step": 759 + }, + { + "epoch": 0.32037095584360836, + "grad_norm": 0.2534368634223938, + "learning_rate": 4.8916184745291785e-06, + "loss": 0.6257, + "step": 760 + }, + { + "epoch": 0.32079249657498154, + "grad_norm": 0.2623680531978607, + "learning_rate": 4.89129219978737e-06, + "loss": 0.6369, + "step": 761 + }, + { + "epoch": 0.3212140373063547, + "grad_norm": 0.28523921966552734, + "learning_rate": 4.89096544558463e-06, + "loss": 0.6242, + "step": 762 + }, + { + "epoch": 0.3216355780377279, + "grad_norm": 0.26124414801597595, + "learning_rate": 4.890638211986474e-06, + "loss": 0.6406, + "step": 763 + }, + { + "epoch": 0.3220571187691011, + "grad_norm": 0.26042789220809937, + "learning_rate": 4.890310499058513e-06, + "loss": 0.629, + "step": 764 + }, + { + "epoch": 0.3224786595004742, + "grad_norm": 0.27142202854156494, + "learning_rate": 4.889982306866454e-06, + "loss": 0.6162, + "step": 765 + }, + { + "epoch": 0.3229002002318474, + "grad_norm": 0.25213897228240967, + "learning_rate": 4.889653635476102e-06, + "loss": 0.6265, + "step": 766 + }, + { + "epoch": 0.3233217409632206, + "grad_norm": 0.2568320333957672, + "learning_rate": 4.889324484953355e-06, + "loss": 0.6362, + "step": 767 + }, + { + "epoch": 0.32374328169459377, + "grad_norm": 0.2552599012851715, + "learning_rate": 4.8889948553642095e-06, + "loss": 0.6526, + "step": 768 + }, + { + "epoch": 0.3241648224259669, + "grad_norm": 0.25189757347106934, + "learning_rate": 4.888664746774756e-06, + "loss": 0.6356, + "step": 769 + }, + { + "epoch": 0.3245863631573401, + "grad_norm": 0.24278956651687622, + "learning_rate": 4.8883341592511844e-06, + "loss": 0.6367, + "step": 770 + }, + { + "epoch": 0.32500790388871326, + "grad_norm": 0.2523997724056244, + "learning_rate": 4.888003092859776e-06, + "loss": 0.6454, + "step": 771 + }, + { + "epoch": 0.32542944462008644, + "grad_norm": 0.2542168200016022, + "learning_rate": 4.887671547666912e-06, + "loss": 0.6168, + "step": 772 + }, + { + "epoch": 0.32585098535145957, + "grad_norm": 0.2451404333114624, + "learning_rate": 4.887339523739068e-06, + "loss": 0.6295, + "step": 773 + }, + { + "epoch": 0.32627252608283275, + "grad_norm": 0.2537959814071655, + "learning_rate": 4.887007021142815e-06, + "loss": 0.6039, + "step": 774 + }, + { + "epoch": 0.32669406681420593, + "grad_norm": 0.2613690197467804, + "learning_rate": 4.886674039944822e-06, + "loss": 0.6246, + "step": 775 + }, + { + "epoch": 0.3271156075455791, + "grad_norm": 0.24343545734882355, + "learning_rate": 4.886340580211851e-06, + "loss": 0.6165, + "step": 776 + }, + { + "epoch": 0.32753714827695224, + "grad_norm": 0.2493949979543686, + "learning_rate": 4.886006642010763e-06, + "loss": 0.6433, + "step": 777 + }, + { + "epoch": 0.3279586890083254, + "grad_norm": 0.24980653822422028, + "learning_rate": 4.885672225408513e-06, + "loss": 0.6134, + "step": 778 + }, + { + "epoch": 0.3283802297396986, + "grad_norm": 0.24947059154510498, + "learning_rate": 4.885337330472153e-06, + "loss": 0.6178, + "step": 779 + }, + { + "epoch": 0.3288017704710718, + "grad_norm": 0.2452121376991272, + "learning_rate": 4.8850019572688305e-06, + "loss": 0.626, + "step": 780 + }, + { + "epoch": 0.3292233112024449, + "grad_norm": 0.2447056919336319, + "learning_rate": 4.884666105865787e-06, + "loss": 0.6363, + "step": 781 + }, + { + "epoch": 0.3296448519338181, + "grad_norm": 0.2492496818304062, + "learning_rate": 4.8843297763303644e-06, + "loss": 0.6582, + "step": 782 + }, + { + "epoch": 0.3300663926651913, + "grad_norm": 0.2591716945171356, + "learning_rate": 4.883992968729996e-06, + "loss": 0.5915, + "step": 783 + }, + { + "epoch": 0.33048793339656446, + "grad_norm": 0.24453039467334747, + "learning_rate": 4.883655683132212e-06, + "loss": 0.6341, + "step": 784 + }, + { + "epoch": 0.3309094741279376, + "grad_norm": 0.2636326849460602, + "learning_rate": 4.883317919604641e-06, + "loss": 0.6385, + "step": 785 + }, + { + "epoch": 0.33133101485931077, + "grad_norm": 0.24589572846889496, + "learning_rate": 4.882979678215004e-06, + "loss": 0.6167, + "step": 786 + }, + { + "epoch": 0.33175255559068395, + "grad_norm": 0.26419368386268616, + "learning_rate": 4.8826409590311205e-06, + "loss": 0.6182, + "step": 787 + }, + { + "epoch": 0.33217409632205713, + "grad_norm": 0.2559862434864044, + "learning_rate": 4.882301762120905e-06, + "loss": 0.6363, + "step": 788 + }, + { + "epoch": 0.3325956370534303, + "grad_norm": 0.25816717743873596, + "learning_rate": 4.881962087552366e-06, + "loss": 0.6167, + "step": 789 + }, + { + "epoch": 0.33301717778480344, + "grad_norm": 0.2528778314590454, + "learning_rate": 4.88162193539361e-06, + "loss": 0.6355, + "step": 790 + }, + { + "epoch": 0.3334387185161766, + "grad_norm": 0.2598842680454254, + "learning_rate": 4.881281305712838e-06, + "loss": 0.6468, + "step": 791 + }, + { + "epoch": 0.3338602592475498, + "grad_norm": 0.2565869092941284, + "learning_rate": 4.880940198578348e-06, + "loss": 0.6284, + "step": 792 + }, + { + "epoch": 0.334281799978923, + "grad_norm": 0.2511397898197174, + "learning_rate": 4.880598614058531e-06, + "loss": 0.6279, + "step": 793 + }, + { + "epoch": 0.3347033407102961, + "grad_norm": 0.2486419975757599, + "learning_rate": 4.880256552221879e-06, + "loss": 0.6546, + "step": 794 + }, + { + "epoch": 0.3351248814416693, + "grad_norm": 0.25715431571006775, + "learning_rate": 4.879914013136975e-06, + "loss": 0.6235, + "step": 795 + }, + { + "epoch": 0.3355464221730425, + "grad_norm": 0.2668071985244751, + "learning_rate": 4.879570996872497e-06, + "loss": 0.6425, + "step": 796 + }, + { + "epoch": 0.33596796290441566, + "grad_norm": 0.25566986203193665, + "learning_rate": 4.879227503497224e-06, + "loss": 0.6031, + "step": 797 + }, + { + "epoch": 0.3363895036357888, + "grad_norm": 0.2451721429824829, + "learning_rate": 4.878883533080025e-06, + "loss": 0.6505, + "step": 798 + }, + { + "epoch": 0.33681104436716197, + "grad_norm": 0.2558004856109619, + "learning_rate": 4.878539085689869e-06, + "loss": 0.6288, + "step": 799 + }, + { + "epoch": 0.33723258509853515, + "grad_norm": 0.2570480406284332, + "learning_rate": 4.878194161395816e-06, + "loss": 0.6425, + "step": 800 + }, + { + "epoch": 0.33765412582990834, + "grad_norm": 0.25120779871940613, + "learning_rate": 4.877848760267026e-06, + "loss": 0.6341, + "step": 801 + }, + { + "epoch": 0.33807566656128146, + "grad_norm": 0.25851771235466003, + "learning_rate": 4.877502882372753e-06, + "loss": 0.6311, + "step": 802 + }, + { + "epoch": 0.33849720729265464, + "grad_norm": 0.2400793433189392, + "learning_rate": 4.877156527782348e-06, + "loss": 0.6388, + "step": 803 + }, + { + "epoch": 0.3389187480240278, + "grad_norm": 0.24545061588287354, + "learning_rate": 4.876809696565252e-06, + "loss": 0.646, + "step": 804 + }, + { + "epoch": 0.339340288755401, + "grad_norm": 0.25027358531951904, + "learning_rate": 4.876462388791009e-06, + "loss": 0.6561, + "step": 805 + }, + { + "epoch": 0.33976182948677414, + "grad_norm": 0.255466103553772, + "learning_rate": 4.876114604529254e-06, + "loss": 0.6484, + "step": 806 + }, + { + "epoch": 0.3401833702181473, + "grad_norm": 0.25834470987319946, + "learning_rate": 4.875766343849719e-06, + "loss": 0.6465, + "step": 807 + }, + { + "epoch": 0.3406049109495205, + "grad_norm": 0.27207326889038086, + "learning_rate": 4.875417606822232e-06, + "loss": 0.628, + "step": 808 + }, + { + "epoch": 0.3410264516808937, + "grad_norm": 0.2536725401878357, + "learning_rate": 4.875068393516714e-06, + "loss": 0.6439, + "step": 809 + }, + { + "epoch": 0.3414479924122668, + "grad_norm": 0.2758451998233795, + "learning_rate": 4.874718704003185e-06, + "loss": 0.6498, + "step": 810 + }, + { + "epoch": 0.34186953314364, + "grad_norm": 0.26022541522979736, + "learning_rate": 4.874368538351758e-06, + "loss": 0.6394, + "step": 811 + }, + { + "epoch": 0.3422910738750132, + "grad_norm": 0.26493576169013977, + "learning_rate": 4.874017896632642e-06, + "loss": 0.6342, + "step": 812 + }, + { + "epoch": 0.34271261460638636, + "grad_norm": 0.2755403518676758, + "learning_rate": 4.873666778916142e-06, + "loss": 0.6193, + "step": 813 + }, + { + "epoch": 0.3431341553377595, + "grad_norm": 0.2545062303543091, + "learning_rate": 4.873315185272658e-06, + "loss": 0.6154, + "step": 814 + }, + { + "epoch": 0.34355569606913267, + "grad_norm": 0.26998916268348694, + "learning_rate": 4.872963115772686e-06, + "loss": 0.6476, + "step": 815 + }, + { + "epoch": 0.34397723680050585, + "grad_norm": 0.25837239623069763, + "learning_rate": 4.872610570486816e-06, + "loss": 0.6146, + "step": 816 + }, + { + "epoch": 0.34439877753187903, + "grad_norm": 0.2706039845943451, + "learning_rate": 4.872257549485735e-06, + "loss": 0.6183, + "step": 817 + }, + { + "epoch": 0.3448203182632522, + "grad_norm": 0.25320756435394287, + "learning_rate": 4.871904052840224e-06, + "loss": 0.6373, + "step": 818 + }, + { + "epoch": 0.34524185899462534, + "grad_norm": 0.2520752549171448, + "learning_rate": 4.871550080621162e-06, + "loss": 0.6214, + "step": 819 + }, + { + "epoch": 0.3456633997259985, + "grad_norm": 0.2538292407989502, + "learning_rate": 4.871195632899519e-06, + "loss": 0.6273, + "step": 820 + }, + { + "epoch": 0.3460849404573717, + "grad_norm": 0.2511141300201416, + "learning_rate": 4.870840709746364e-06, + "loss": 0.6395, + "step": 821 + }, + { + "epoch": 0.3465064811887449, + "grad_norm": 0.2537423372268677, + "learning_rate": 4.8704853112328595e-06, + "loss": 0.6459, + "step": 822 + }, + { + "epoch": 0.346928021920118, + "grad_norm": 0.24753199517726898, + "learning_rate": 4.870129437430266e-06, + "loss": 0.6243, + "step": 823 + }, + { + "epoch": 0.3473495626514912, + "grad_norm": 0.25171908736228943, + "learning_rate": 4.869773088409934e-06, + "loss": 0.6251, + "step": 824 + }, + { + "epoch": 0.3477711033828644, + "grad_norm": 0.2594963014125824, + "learning_rate": 4.8694162642433145e-06, + "loss": 0.6305, + "step": 825 + }, + { + "epoch": 0.34819264411423756, + "grad_norm": 0.24246972799301147, + "learning_rate": 4.869058965001951e-06, + "loss": 0.6108, + "step": 826 + }, + { + "epoch": 0.3486141848456107, + "grad_norm": 0.2587549090385437, + "learning_rate": 4.8687011907574846e-06, + "loss": 0.6291, + "step": 827 + }, + { + "epoch": 0.34903572557698387, + "grad_norm": 0.24805046617984772, + "learning_rate": 4.8683429415816485e-06, + "loss": 0.6091, + "step": 828 + }, + { + "epoch": 0.34945726630835705, + "grad_norm": 0.25509005784988403, + "learning_rate": 4.867984217546272e-06, + "loss": 0.6467, + "step": 829 + }, + { + "epoch": 0.34987880703973023, + "grad_norm": 0.2585395574569702, + "learning_rate": 4.867625018723283e-06, + "loss": 0.6102, + "step": 830 + }, + { + "epoch": 0.35030034777110336, + "grad_norm": 0.24894072115421295, + "learning_rate": 4.8672653451847e-06, + "loss": 0.6445, + "step": 831 + }, + { + "epoch": 0.35072188850247654, + "grad_norm": 0.2756640613079071, + "learning_rate": 4.866905197002637e-06, + "loss": 0.6197, + "step": 832 + }, + { + "epoch": 0.3511434292338497, + "grad_norm": 0.26490357518196106, + "learning_rate": 4.866544574249308e-06, + "loss": 0.6191, + "step": 833 + }, + { + "epoch": 0.3515649699652229, + "grad_norm": 0.24230548739433289, + "learning_rate": 4.866183476997017e-06, + "loss": 0.6319, + "step": 834 + }, + { + "epoch": 0.35198651069659603, + "grad_norm": 0.2637353241443634, + "learning_rate": 4.865821905318167e-06, + "loss": 0.6571, + "step": 835 + }, + { + "epoch": 0.3524080514279692, + "grad_norm": 0.2556266486644745, + "learning_rate": 4.865459859285251e-06, + "loss": 0.6432, + "step": 836 + }, + { + "epoch": 0.3528295921593424, + "grad_norm": 0.25549042224884033, + "learning_rate": 4.865097338970862e-06, + "loss": 0.6322, + "step": 837 + }, + { + "epoch": 0.3532511328907156, + "grad_norm": 0.2747564911842346, + "learning_rate": 4.864734344447686e-06, + "loss": 0.6418, + "step": 838 + }, + { + "epoch": 0.3536726736220887, + "grad_norm": 0.2574198544025421, + "learning_rate": 4.864370875788505e-06, + "loss": 0.6198, + "step": 839 + }, + { + "epoch": 0.3540942143534619, + "grad_norm": 0.25986191630363464, + "learning_rate": 4.864006933066196e-06, + "loss": 0.6157, + "step": 840 + }, + { + "epoch": 0.35451575508483507, + "grad_norm": 0.27981826663017273, + "learning_rate": 4.863642516353729e-06, + "loss": 0.6505, + "step": 841 + }, + { + "epoch": 0.35493729581620825, + "grad_norm": 0.2704963982105255, + "learning_rate": 4.863277625724172e-06, + "loss": 0.6485, + "step": 842 + }, + { + "epoch": 0.35535883654758144, + "grad_norm": 0.27085819840431213, + "learning_rate": 4.862912261250685e-06, + "loss": 0.6521, + "step": 843 + }, + { + "epoch": 0.35578037727895456, + "grad_norm": 0.2682935297489166, + "learning_rate": 4.862546423006526e-06, + "loss": 0.6403, + "step": 844 + }, + { + "epoch": 0.35620191801032774, + "grad_norm": 0.2632185220718384, + "learning_rate": 4.862180111065047e-06, + "loss": 0.6316, + "step": 845 + }, + { + "epoch": 0.3566234587417009, + "grad_norm": 0.25609323382377625, + "learning_rate": 4.861813325499693e-06, + "loss": 0.6518, + "step": 846 + }, + { + "epoch": 0.3570449994730741, + "grad_norm": 0.25910910964012146, + "learning_rate": 4.861446066384007e-06, + "loss": 0.6625, + "step": 847 + }, + { + "epoch": 0.35746654020444724, + "grad_norm": 0.2763497233390808, + "learning_rate": 4.861078333791624e-06, + "loss": 0.6157, + "step": 848 + }, + { + "epoch": 0.3578880809358204, + "grad_norm": 0.2565842866897583, + "learning_rate": 4.860710127796276e-06, + "loss": 0.6446, + "step": 849 + }, + { + "epoch": 0.3583096216671936, + "grad_norm": 0.26684844493865967, + "learning_rate": 4.860341448471791e-06, + "loss": 0.6393, + "step": 850 + }, + { + "epoch": 0.3587311623985668, + "grad_norm": 0.25313448905944824, + "learning_rate": 4.859972295892088e-06, + "loss": 0.6541, + "step": 851 + }, + { + "epoch": 0.3591527031299399, + "grad_norm": 0.2515822649002075, + "learning_rate": 4.859602670131185e-06, + "loss": 0.653, + "step": 852 + }, + { + "epoch": 0.3595742438613131, + "grad_norm": 0.2599954605102539, + "learning_rate": 4.8592325712631914e-06, + "loss": 0.5938, + "step": 853 + }, + { + "epoch": 0.3599957845926863, + "grad_norm": 0.27787014842033386, + "learning_rate": 4.858861999362313e-06, + "loss": 0.6227, + "step": 854 + }, + { + "epoch": 0.36041732532405946, + "grad_norm": 0.2670431137084961, + "learning_rate": 4.858490954502852e-06, + "loss": 0.6296, + "step": 855 + }, + { + "epoch": 0.3608388660554326, + "grad_norm": 0.25765085220336914, + "learning_rate": 4.858119436759204e-06, + "loss": 0.6446, + "step": 856 + }, + { + "epoch": 0.36126040678680577, + "grad_norm": 0.2589804530143738, + "learning_rate": 4.857747446205858e-06, + "loss": 0.6274, + "step": 857 + }, + { + "epoch": 0.36168194751817895, + "grad_norm": 0.2487720400094986, + "learning_rate": 4.8573749829174e-06, + "loss": 0.6248, + "step": 858 + }, + { + "epoch": 0.36210348824955213, + "grad_norm": 0.2504652142524719, + "learning_rate": 4.85700204696851e-06, + "loss": 0.6076, + "step": 859 + }, + { + "epoch": 0.36252502898092526, + "grad_norm": 0.24419501423835754, + "learning_rate": 4.856628638433962e-06, + "loss": 0.6378, + "step": 860 + }, + { + "epoch": 0.36294656971229844, + "grad_norm": 0.259529173374176, + "learning_rate": 4.856254757388626e-06, + "loss": 0.6306, + "step": 861 + }, + { + "epoch": 0.3633681104436716, + "grad_norm": 0.26039767265319824, + "learning_rate": 4.855880403907466e-06, + "loss": 0.6507, + "step": 862 + }, + { + "epoch": 0.3637896511750448, + "grad_norm": 0.23905687034130096, + "learning_rate": 4.855505578065542e-06, + "loss": 0.6185, + "step": 863 + }, + { + "epoch": 0.36421119190641793, + "grad_norm": 0.25929901003837585, + "learning_rate": 4.855130279938006e-06, + "loss": 0.6156, + "step": 864 + }, + { + "epoch": 0.3646327326377911, + "grad_norm": 0.24727587401866913, + "learning_rate": 4.854754509600107e-06, + "loss": 0.6191, + "step": 865 + }, + { + "epoch": 0.3650542733691643, + "grad_norm": 0.2667529582977295, + "learning_rate": 4.8543782671271885e-06, + "loss": 0.6253, + "step": 866 + }, + { + "epoch": 0.3654758141005375, + "grad_norm": 0.25281596183776855, + "learning_rate": 4.8540015525946884e-06, + "loss": 0.6449, + "step": 867 + }, + { + "epoch": 0.36589735483191066, + "grad_norm": 0.25489482283592224, + "learning_rate": 4.853624366078137e-06, + "loss": 0.6571, + "step": 868 + }, + { + "epoch": 0.3663188955632838, + "grad_norm": 0.2643046975135803, + "learning_rate": 4.8532467076531646e-06, + "loss": 0.645, + "step": 869 + }, + { + "epoch": 0.36674043629465697, + "grad_norm": 0.24946551024913788, + "learning_rate": 4.852868577395489e-06, + "loss": 0.6307, + "step": 870 + }, + { + "epoch": 0.36716197702603015, + "grad_norm": 0.2534451484680176, + "learning_rate": 4.85248997538093e-06, + "loss": 0.6357, + "step": 871 + }, + { + "epoch": 0.36758351775740333, + "grad_norm": 0.25324976444244385, + "learning_rate": 4.852110901685396e-06, + "loss": 0.6223, + "step": 872 + }, + { + "epoch": 0.36800505848877646, + "grad_norm": 0.2721559405326843, + "learning_rate": 4.851731356384893e-06, + "loss": 0.6169, + "step": 873 + }, + { + "epoch": 0.36842659922014964, + "grad_norm": 0.253261536359787, + "learning_rate": 4.851351339555522e-06, + "loss": 0.6312, + "step": 874 + }, + { + "epoch": 0.3688481399515228, + "grad_norm": 0.2624780833721161, + "learning_rate": 4.850970851273476e-06, + "loss": 0.6403, + "step": 875 + }, + { + "epoch": 0.369269680682896, + "grad_norm": 0.25246620178222656, + "learning_rate": 4.850589891615044e-06, + "loss": 0.6373, + "step": 876 + }, + { + "epoch": 0.36969122141426913, + "grad_norm": 0.24897249042987823, + "learning_rate": 4.85020846065661e-06, + "loss": 0.6202, + "step": 877 + }, + { + "epoch": 0.3701127621456423, + "grad_norm": 0.2582487165927887, + "learning_rate": 4.849826558474653e-06, + "loss": 0.6474, + "step": 878 + }, + { + "epoch": 0.3705343028770155, + "grad_norm": 0.2585439085960388, + "learning_rate": 4.849444185145743e-06, + "loss": 0.6001, + "step": 879 + }, + { + "epoch": 0.3709558436083887, + "grad_norm": 0.2579975724220276, + "learning_rate": 4.849061340746549e-06, + "loss": 0.6488, + "step": 880 + }, + { + "epoch": 0.3713773843397618, + "grad_norm": 0.24333162605762482, + "learning_rate": 4.848678025353832e-06, + "loss": 0.618, + "step": 881 + }, + { + "epoch": 0.371798925071135, + "grad_norm": 0.297209769487381, + "learning_rate": 4.848294239044448e-06, + "loss": 0.6101, + "step": 882 + }, + { + "epoch": 0.37222046580250817, + "grad_norm": 0.2524620294570923, + "learning_rate": 4.847909981895347e-06, + "loss": 0.6352, + "step": 883 + }, + { + "epoch": 0.37264200653388135, + "grad_norm": 0.26648691296577454, + "learning_rate": 4.847525253983573e-06, + "loss": 0.6176, + "step": 884 + }, + { + "epoch": 0.3730635472652545, + "grad_norm": 0.2886981964111328, + "learning_rate": 4.8471400553862655e-06, + "loss": 0.6219, + "step": 885 + }, + { + "epoch": 0.37348508799662766, + "grad_norm": 0.25700879096984863, + "learning_rate": 4.846754386180658e-06, + "loss": 0.6268, + "step": 886 + }, + { + "epoch": 0.37390662872800084, + "grad_norm": 0.26508307456970215, + "learning_rate": 4.846368246444078e-06, + "loss": 0.6552, + "step": 887 + }, + { + "epoch": 0.374328169459374, + "grad_norm": 0.2605459988117218, + "learning_rate": 4.8459816362539495e-06, + "loss": 0.6327, + "step": 888 + }, + { + "epoch": 0.37474971019074715, + "grad_norm": 0.2567014992237091, + "learning_rate": 4.845594555687786e-06, + "loss": 0.6208, + "step": 889 + }, + { + "epoch": 0.37517125092212034, + "grad_norm": 0.28781476616859436, + "learning_rate": 4.845207004823199e-06, + "loss": 0.6409, + "step": 890 + }, + { + "epoch": 0.3755927916534935, + "grad_norm": 0.24735136330127716, + "learning_rate": 4.844818983737896e-06, + "loss": 0.6269, + "step": 891 + }, + { + "epoch": 0.3760143323848667, + "grad_norm": 0.25130677223205566, + "learning_rate": 4.844430492509674e-06, + "loss": 0.6312, + "step": 892 + }, + { + "epoch": 0.3764358731162399, + "grad_norm": 0.2650367021560669, + "learning_rate": 4.844041531216427e-06, + "loss": 0.6274, + "step": 893 + }, + { + "epoch": 0.376857413847613, + "grad_norm": 0.2622985541820526, + "learning_rate": 4.843652099936142e-06, + "loss": 0.6257, + "step": 894 + }, + { + "epoch": 0.3772789545789862, + "grad_norm": 0.24184496700763702, + "learning_rate": 4.843262198746903e-06, + "loss": 0.6426, + "step": 895 + }, + { + "epoch": 0.3777004953103594, + "grad_norm": 0.2562757134437561, + "learning_rate": 4.842871827726886e-06, + "loss": 0.6095, + "step": 896 + }, + { + "epoch": 0.37812203604173256, + "grad_norm": 0.25449368357658386, + "learning_rate": 4.84248098695436e-06, + "loss": 0.6024, + "step": 897 + }, + { + "epoch": 0.3785435767731057, + "grad_norm": 0.2706413269042969, + "learning_rate": 4.84208967650769e-06, + "loss": 0.6158, + "step": 898 + }, + { + "epoch": 0.37896511750447887, + "grad_norm": 0.27312538027763367, + "learning_rate": 4.841697896465337e-06, + "loss": 0.618, + "step": 899 + }, + { + "epoch": 0.37938665823585205, + "grad_norm": 0.26674240827560425, + "learning_rate": 4.841305646905852e-06, + "loss": 0.6546, + "step": 900 + }, + { + "epoch": 0.37980819896722523, + "grad_norm": 0.2656947076320648, + "learning_rate": 4.840912927907882e-06, + "loss": 0.6346, + "step": 901 + }, + { + "epoch": 0.38022973969859836, + "grad_norm": 0.24790920317173004, + "learning_rate": 4.840519739550169e-06, + "loss": 0.6328, + "step": 902 + }, + { + "epoch": 0.38065128042997154, + "grad_norm": 0.2540440559387207, + "learning_rate": 4.8401260819115494e-06, + "loss": 0.6491, + "step": 903 + }, + { + "epoch": 0.3810728211613447, + "grad_norm": 0.2641192674636841, + "learning_rate": 4.8397319550709504e-06, + "loss": 0.6378, + "step": 904 + }, + { + "epoch": 0.3814943618927179, + "grad_norm": 0.25249913334846497, + "learning_rate": 4.839337359107396e-06, + "loss": 0.6412, + "step": 905 + }, + { + "epoch": 0.38191590262409103, + "grad_norm": 0.25797387957572937, + "learning_rate": 4.8389422941000065e-06, + "loss": 0.6211, + "step": 906 + }, + { + "epoch": 0.3823374433554642, + "grad_norm": 0.24320074915885925, + "learning_rate": 4.8385467601279915e-06, + "loss": 0.6305, + "step": 907 + }, + { + "epoch": 0.3827589840868374, + "grad_norm": 0.24869081377983093, + "learning_rate": 4.8381507572706555e-06, + "loss": 0.6262, + "step": 908 + }, + { + "epoch": 0.3831805248182106, + "grad_norm": 0.2462390661239624, + "learning_rate": 4.8377542856074e-06, + "loss": 0.6381, + "step": 909 + }, + { + "epoch": 0.3836020655495837, + "grad_norm": 0.26460525393486023, + "learning_rate": 4.837357345217718e-06, + "loss": 0.6338, + "step": 910 + }, + { + "epoch": 0.3840236062809569, + "grad_norm": 0.2555061876773834, + "learning_rate": 4.836959936181198e-06, + "loss": 0.6261, + "step": 911 + }, + { + "epoch": 0.38444514701233007, + "grad_norm": 0.26664793491363525, + "learning_rate": 4.836562058577521e-06, + "loss": 0.6248, + "step": 912 + }, + { + "epoch": 0.38486668774370325, + "grad_norm": 0.25871822237968445, + "learning_rate": 4.836163712486462e-06, + "loss": 0.6578, + "step": 913 + }, + { + "epoch": 0.3852882284750764, + "grad_norm": 0.25666993856430054, + "learning_rate": 4.835764897987892e-06, + "loss": 0.6487, + "step": 914 + }, + { + "epoch": 0.38570976920644956, + "grad_norm": 0.26849183440208435, + "learning_rate": 4.835365615161774e-06, + "loss": 0.6591, + "step": 915 + }, + { + "epoch": 0.38613130993782274, + "grad_norm": 0.28308624029159546, + "learning_rate": 4.834965864088164e-06, + "loss": 0.6279, + "step": 916 + }, + { + "epoch": 0.3865528506691959, + "grad_norm": 0.244406059384346, + "learning_rate": 4.834565644847215e-06, + "loss": 0.5834, + "step": 917 + }, + { + "epoch": 0.3869743914005691, + "grad_norm": 0.2602737545967102, + "learning_rate": 4.83416495751917e-06, + "loss": 0.6424, + "step": 918 + }, + { + "epoch": 0.38739593213194223, + "grad_norm": 0.25824710726737976, + "learning_rate": 4.833763802184371e-06, + "loss": 0.6539, + "step": 919 + }, + { + "epoch": 0.3878174728633154, + "grad_norm": 0.28233054280281067, + "learning_rate": 4.833362178923249e-06, + "loss": 0.6425, + "step": 920 + }, + { + "epoch": 0.3882390135946886, + "grad_norm": 0.25876104831695557, + "learning_rate": 4.83296008781633e-06, + "loss": 0.6141, + "step": 921 + }, + { + "epoch": 0.3886605543260618, + "grad_norm": 0.2694402039051056, + "learning_rate": 4.832557528944235e-06, + "loss": 0.6208, + "step": 922 + }, + { + "epoch": 0.3890820950574349, + "grad_norm": 0.2811453938484192, + "learning_rate": 4.832154502387678e-06, + "loss": 0.6169, + "step": 923 + }, + { + "epoch": 0.3895036357888081, + "grad_norm": 0.27431371808052063, + "learning_rate": 4.831751008227468e-06, + "loss": 0.6315, + "step": 924 + }, + { + "epoch": 0.38992517652018127, + "grad_norm": 0.2558780610561371, + "learning_rate": 4.831347046544505e-06, + "loss": 0.6419, + "step": 925 + }, + { + "epoch": 0.39034671725155445, + "grad_norm": 0.2636081874370575, + "learning_rate": 4.8309426174197875e-06, + "loss": 0.6255, + "step": 926 + }, + { + "epoch": 0.3907682579829276, + "grad_norm": 0.2561451196670532, + "learning_rate": 4.830537720934401e-06, + "loss": 0.6306, + "step": 927 + }, + { + "epoch": 0.39118979871430076, + "grad_norm": 0.26738831400871277, + "learning_rate": 4.830132357169531e-06, + "loss": 0.6358, + "step": 928 + }, + { + "epoch": 0.39161133944567394, + "grad_norm": 0.26140525937080383, + "learning_rate": 4.829726526206453e-06, + "loss": 0.6347, + "step": 929 + }, + { + "epoch": 0.3920328801770471, + "grad_norm": 0.2580152750015259, + "learning_rate": 4.829320228126537e-06, + "loss": 0.6141, + "step": 930 + }, + { + "epoch": 0.39245442090842025, + "grad_norm": 0.2830435633659363, + "learning_rate": 4.828913463011248e-06, + "loss": 0.634, + "step": 931 + }, + { + "epoch": 0.39287596163979344, + "grad_norm": 0.2561737895011902, + "learning_rate": 4.8285062309421424e-06, + "loss": 0.6337, + "step": 932 + }, + { + "epoch": 0.3932975023711666, + "grad_norm": 0.26395025849342346, + "learning_rate": 4.828098532000872e-06, + "loss": 0.6218, + "step": 933 + }, + { + "epoch": 0.3937190431025398, + "grad_norm": 0.25036484003067017, + "learning_rate": 4.827690366269182e-06, + "loss": 0.6037, + "step": 934 + }, + { + "epoch": 0.3941405838339129, + "grad_norm": 0.2546205520629883, + "learning_rate": 4.82728173382891e-06, + "loss": 0.6038, + "step": 935 + }, + { + "epoch": 0.3945621245652861, + "grad_norm": 0.26110392808914185, + "learning_rate": 4.826872634761989e-06, + "loss": 0.6198, + "step": 936 + }, + { + "epoch": 0.3949836652966593, + "grad_norm": 0.2652420401573181, + "learning_rate": 4.826463069150443e-06, + "loss": 0.6357, + "step": 937 + }, + { + "epoch": 0.3954052060280325, + "grad_norm": 0.275619238615036, + "learning_rate": 4.826053037076393e-06, + "loss": 0.5979, + "step": 938 + }, + { + "epoch": 0.3958267467594056, + "grad_norm": 0.2655697166919708, + "learning_rate": 4.82564253862205e-06, + "loss": 0.6333, + "step": 939 + }, + { + "epoch": 0.3962482874907788, + "grad_norm": 0.25900575518608093, + "learning_rate": 4.825231573869721e-06, + "loss": 0.6359, + "step": 940 + }, + { + "epoch": 0.39666982822215197, + "grad_norm": 0.25702881813049316, + "learning_rate": 4.824820142901805e-06, + "loss": 0.667, + "step": 941 + }, + { + "epoch": 0.39709136895352515, + "grad_norm": 0.2654663622379303, + "learning_rate": 4.824408245800794e-06, + "loss": 0.6149, + "step": 942 + }, + { + "epoch": 0.39751290968489833, + "grad_norm": 0.25416263937950134, + "learning_rate": 4.823995882649279e-06, + "loss": 0.6481, + "step": 943 + }, + { + "epoch": 0.39793445041627146, + "grad_norm": 0.2957819104194641, + "learning_rate": 4.823583053529934e-06, + "loss": 0.6442, + "step": 944 + }, + { + "epoch": 0.39835599114764464, + "grad_norm": 0.2590720057487488, + "learning_rate": 4.823169758525537e-06, + "loss": 0.646, + "step": 945 + }, + { + "epoch": 0.3987775318790178, + "grad_norm": 0.2745110094547272, + "learning_rate": 4.8227559977189516e-06, + "loss": 0.6227, + "step": 946 + }, + { + "epoch": 0.399199072610391, + "grad_norm": 0.28078117966651917, + "learning_rate": 4.822341771193142e-06, + "loss": 0.6345, + "step": 947 + }, + { + "epoch": 0.39962061334176413, + "grad_norm": 0.26438355445861816, + "learning_rate": 4.821927079031157e-06, + "loss": 0.6151, + "step": 948 + }, + { + "epoch": 0.4000421540731373, + "grad_norm": 0.26167407631874084, + "learning_rate": 4.821511921316147e-06, + "loss": 0.617, + "step": 949 + }, + { + "epoch": 0.4004636948045105, + "grad_norm": 0.2908693552017212, + "learning_rate": 4.821096298131351e-06, + "loss": 0.6236, + "step": 950 + }, + { + "epoch": 0.4008852355358837, + "grad_norm": 0.2645222544670105, + "learning_rate": 4.820680209560104e-06, + "loss": 0.6482, + "step": 951 + }, + { + "epoch": 0.4013067762672568, + "grad_norm": 0.2635226547718048, + "learning_rate": 4.820263655685831e-06, + "loss": 0.6192, + "step": 952 + }, + { + "epoch": 0.40172831699863, + "grad_norm": 0.3159831166267395, + "learning_rate": 4.8198466365920525e-06, + "loss": 0.6171, + "step": 953 + }, + { + "epoch": 0.40214985773000317, + "grad_norm": 0.2780272960662842, + "learning_rate": 4.819429152362383e-06, + "loss": 0.6223, + "step": 954 + }, + { + "epoch": 0.40257139846137635, + "grad_norm": 0.2659270465373993, + "learning_rate": 4.81901120308053e-06, + "loss": 0.635, + "step": 955 + }, + { + "epoch": 0.4029929391927495, + "grad_norm": 0.32857468724250793, + "learning_rate": 4.818592788830292e-06, + "loss": 0.6236, + "step": 956 + }, + { + "epoch": 0.40341447992412266, + "grad_norm": 0.36082008481025696, + "learning_rate": 4.8181739096955614e-06, + "loss": 0.5739, + "step": 957 + }, + { + "epoch": 0.40383602065549584, + "grad_norm": 0.2774188220500946, + "learning_rate": 4.817754565760327e-06, + "loss": 0.6393, + "step": 958 + }, + { + "epoch": 0.404257561386869, + "grad_norm": 0.38916826248168945, + "learning_rate": 4.817334757108667e-06, + "loss": 0.6197, + "step": 959 + }, + { + "epoch": 0.40467910211824215, + "grad_norm": 0.33336907625198364, + "learning_rate": 4.816914483824755e-06, + "loss": 0.6377, + "step": 960 + }, + { + "epoch": 0.40510064284961533, + "grad_norm": 0.2591753304004669, + "learning_rate": 4.8164937459928565e-06, + "loss": 0.6189, + "step": 961 + }, + { + "epoch": 0.4055221835809885, + "grad_norm": 0.3399209976196289, + "learning_rate": 4.816072543697331e-06, + "loss": 0.6243, + "step": 962 + }, + { + "epoch": 0.4059437243123617, + "grad_norm": 0.3264703154563904, + "learning_rate": 4.815650877022631e-06, + "loss": 0.6107, + "step": 963 + }, + { + "epoch": 0.4063652650437348, + "grad_norm": 0.26772332191467285, + "learning_rate": 4.815228746053301e-06, + "loss": 0.6011, + "step": 964 + }, + { + "epoch": 0.406786805775108, + "grad_norm": 0.34515243768692017, + "learning_rate": 4.814806150873979e-06, + "loss": 0.6466, + "step": 965 + }, + { + "epoch": 0.4072083465064812, + "grad_norm": 0.30386337637901306, + "learning_rate": 4.814383091569398e-06, + "loss": 0.6219, + "step": 966 + }, + { + "epoch": 0.40762988723785437, + "grad_norm": 0.252386212348938, + "learning_rate": 4.813959568224383e-06, + "loss": 0.6343, + "step": 967 + }, + { + "epoch": 0.40805142796922755, + "grad_norm": 0.2739870548248291, + "learning_rate": 4.813535580923849e-06, + "loss": 0.6363, + "step": 968 + }, + { + "epoch": 0.4084729687006007, + "grad_norm": 0.27867093682289124, + "learning_rate": 4.81311112975281e-06, + "loss": 0.6255, + "step": 969 + }, + { + "epoch": 0.40889450943197386, + "grad_norm": 0.26044467091560364, + "learning_rate": 4.8126862147963675e-06, + "loss": 0.6192, + "step": 970 + }, + { + "epoch": 0.40931605016334704, + "grad_norm": 0.24662238359451294, + "learning_rate": 4.812260836139718e-06, + "loss": 0.6205, + "step": 971 + }, + { + "epoch": 0.4097375908947202, + "grad_norm": 0.26094821095466614, + "learning_rate": 4.8118349938681525e-06, + "loss": 0.6368, + "step": 972 + }, + { + "epoch": 0.41015913162609335, + "grad_norm": 0.2669769823551178, + "learning_rate": 4.811408688067053e-06, + "loss": 0.6391, + "step": 973 + }, + { + "epoch": 0.41058067235746654, + "grad_norm": 0.26848191022872925, + "learning_rate": 4.810981918821894e-06, + "loss": 0.6263, + "step": 974 + }, + { + "epoch": 0.4110022130888397, + "grad_norm": 0.2604810893535614, + "learning_rate": 4.810554686218246e-06, + "loss": 0.6212, + "step": 975 + }, + { + "epoch": 0.4114237538202129, + "grad_norm": 0.26288801431655884, + "learning_rate": 4.810126990341769e-06, + "loss": 0.6204, + "step": 976 + }, + { + "epoch": 0.411845294551586, + "grad_norm": 0.3077448010444641, + "learning_rate": 4.809698831278217e-06, + "loss": 0.629, + "step": 977 + }, + { + "epoch": 0.4122668352829592, + "grad_norm": 0.2948167622089386, + "learning_rate": 4.809270209113438e-06, + "loss": 0.6324, + "step": 978 + }, + { + "epoch": 0.4126883760143324, + "grad_norm": 0.2664027810096741, + "learning_rate": 4.8088411239333725e-06, + "loss": 0.6253, + "step": 979 + }, + { + "epoch": 0.4131099167457056, + "grad_norm": 0.27179285883903503, + "learning_rate": 4.808411575824051e-06, + "loss": 0.6277, + "step": 980 + }, + { + "epoch": 0.4135314574770787, + "grad_norm": 0.2673485279083252, + "learning_rate": 4.807981564871601e-06, + "loss": 0.6243, + "step": 981 + }, + { + "epoch": 0.4139529982084519, + "grad_norm": 0.2943292260169983, + "learning_rate": 4.807551091162241e-06, + "loss": 0.6337, + "step": 982 + }, + { + "epoch": 0.41437453893982507, + "grad_norm": 0.24857105314731598, + "learning_rate": 4.807120154782281e-06, + "loss": 0.6193, + "step": 983 + }, + { + "epoch": 0.41479607967119825, + "grad_norm": 0.28324785828590393, + "learning_rate": 4.806688755818126e-06, + "loss": 0.6116, + "step": 984 + }, + { + "epoch": 0.4152176204025714, + "grad_norm": 0.2738904058933258, + "learning_rate": 4.806256894356273e-06, + "loss": 0.6279, + "step": 985 + }, + { + "epoch": 0.41563916113394456, + "grad_norm": 0.2727424204349518, + "learning_rate": 4.805824570483309e-06, + "loss": 0.6232, + "step": 986 + }, + { + "epoch": 0.41606070186531774, + "grad_norm": 0.2537044286727905, + "learning_rate": 4.80539178428592e-06, + "loss": 0.6316, + "step": 987 + }, + { + "epoch": 0.4164822425966909, + "grad_norm": 0.25446152687072754, + "learning_rate": 4.804958535850877e-06, + "loss": 0.6313, + "step": 988 + }, + { + "epoch": 0.41690378332806405, + "grad_norm": 0.30367958545684814, + "learning_rate": 4.804524825265051e-06, + "loss": 0.6262, + "step": 989 + }, + { + "epoch": 0.41732532405943723, + "grad_norm": 0.2823420464992523, + "learning_rate": 4.804090652615401e-06, + "loss": 0.6256, + "step": 990 + }, + { + "epoch": 0.4177468647908104, + "grad_norm": 0.27978891134262085, + "learning_rate": 4.803656017988978e-06, + "loss": 0.6501, + "step": 991 + }, + { + "epoch": 0.4181684055221836, + "grad_norm": 0.28915122151374817, + "learning_rate": 4.80322092147293e-06, + "loss": 0.6079, + "step": 992 + }, + { + "epoch": 0.4185899462535568, + "grad_norm": 0.2608501613140106, + "learning_rate": 4.802785363154493e-06, + "loss": 0.6165, + "step": 993 + }, + { + "epoch": 0.4190114869849299, + "grad_norm": 0.2665726840496063, + "learning_rate": 4.802349343121e-06, + "loss": 0.6212, + "step": 994 + }, + { + "epoch": 0.4194330277163031, + "grad_norm": 0.26818427443504333, + "learning_rate": 4.801912861459873e-06, + "loss": 0.6494, + "step": 995 + }, + { + "epoch": 0.41985456844767627, + "grad_norm": 0.26791125535964966, + "learning_rate": 4.801475918258628e-06, + "loss": 0.6191, + "step": 996 + }, + { + "epoch": 0.42027610917904945, + "grad_norm": 0.26152119040489197, + "learning_rate": 4.801038513604872e-06, + "loss": 0.6274, + "step": 997 + }, + { + "epoch": 0.4206976499104226, + "grad_norm": 0.26130810379981995, + "learning_rate": 4.8006006475863075e-06, + "loss": 0.6156, + "step": 998 + }, + { + "epoch": 0.42111919064179576, + "grad_norm": 0.2579680383205414, + "learning_rate": 4.800162320290728e-06, + "loss": 0.6235, + "step": 999 + }, + { + "epoch": 0.42154073137316894, + "grad_norm": 0.27043697237968445, + "learning_rate": 4.799723531806019e-06, + "loss": 0.5876, + "step": 1000 + }, + { + "epoch": 0.4219622721045421, + "grad_norm": 0.27036502957344055, + "learning_rate": 4.7992842822201586e-06, + "loss": 0.6473, + "step": 1001 + }, + { + "epoch": 0.42238381283591525, + "grad_norm": 0.260535329580307, + "learning_rate": 4.798844571621217e-06, + "loss": 0.6272, + "step": 1002 + }, + { + "epoch": 0.42280535356728843, + "grad_norm": 0.2565985321998596, + "learning_rate": 4.798404400097359e-06, + "loss": 0.6298, + "step": 1003 + }, + { + "epoch": 0.4232268942986616, + "grad_norm": 0.2548902928829193, + "learning_rate": 4.79796376773684e-06, + "loss": 0.6208, + "step": 1004 + }, + { + "epoch": 0.4236484350300348, + "grad_norm": 0.2636111378669739, + "learning_rate": 4.7975226746280064e-06, + "loss": 0.6088, + "step": 1005 + }, + { + "epoch": 0.4240699757614079, + "grad_norm": 0.25958186388015747, + "learning_rate": 4.797081120859301e-06, + "loss": 0.6421, + "step": 1006 + }, + { + "epoch": 0.4244915164927811, + "grad_norm": 0.26245561242103577, + "learning_rate": 4.796639106519253e-06, + "loss": 0.612, + "step": 1007 + }, + { + "epoch": 0.4249130572241543, + "grad_norm": 0.25324252247810364, + "learning_rate": 4.7961966316964916e-06, + "loss": 0.6278, + "step": 1008 + }, + { + "epoch": 0.42533459795552747, + "grad_norm": 0.26179778575897217, + "learning_rate": 4.795753696479733e-06, + "loss": 0.6126, + "step": 1009 + }, + { + "epoch": 0.4257561386869006, + "grad_norm": 0.25410422682762146, + "learning_rate": 4.795310300957784e-06, + "loss": 0.6127, + "step": 1010 + }, + { + "epoch": 0.4261776794182738, + "grad_norm": 0.2644502520561218, + "learning_rate": 4.7948664452195515e-06, + "loss": 0.6303, + "step": 1011 + }, + { + "epoch": 0.42659922014964696, + "grad_norm": 0.2584587633609772, + "learning_rate": 4.794422129354026e-06, + "loss": 0.6257, + "step": 1012 + }, + { + "epoch": 0.42702076088102014, + "grad_norm": 0.2599596083164215, + "learning_rate": 4.793977353450297e-06, + "loss": 0.5903, + "step": 1013 + }, + { + "epoch": 0.42744230161239327, + "grad_norm": 0.25887182354927063, + "learning_rate": 4.793532117597541e-06, + "loss": 0.6244, + "step": 1014 + }, + { + "epoch": 0.42786384234376645, + "grad_norm": 0.2563137710094452, + "learning_rate": 4.7930864218850305e-06, + "loss": 0.6033, + "step": 1015 + }, + { + "epoch": 0.42828538307513964, + "grad_norm": 0.2676146626472473, + "learning_rate": 4.792640266402128e-06, + "loss": 0.6297, + "step": 1016 + }, + { + "epoch": 0.4287069238065128, + "grad_norm": 0.2720690369606018, + "learning_rate": 4.792193651238289e-06, + "loss": 0.6335, + "step": 1017 + }, + { + "epoch": 0.429128464537886, + "grad_norm": 0.25424066185951233, + "learning_rate": 4.791746576483062e-06, + "loss": 0.6278, + "step": 1018 + }, + { + "epoch": 0.4295500052692591, + "grad_norm": 0.2661586105823517, + "learning_rate": 4.791299042226085e-06, + "loss": 0.6293, + "step": 1019 + }, + { + "epoch": 0.4299715460006323, + "grad_norm": 0.25833815336227417, + "learning_rate": 4.790851048557092e-06, + "loss": 0.6113, + "step": 1020 + }, + { + "epoch": 0.4303930867320055, + "grad_norm": 0.2604774534702301, + "learning_rate": 4.790402595565906e-06, + "loss": 0.6309, + "step": 1021 + }, + { + "epoch": 0.4308146274633787, + "grad_norm": 0.2568994462490082, + "learning_rate": 4.789953683342443e-06, + "loss": 0.6344, + "step": 1022 + }, + { + "epoch": 0.4312361681947518, + "grad_norm": 0.2731021046638489, + "learning_rate": 4.789504311976712e-06, + "loss": 0.6195, + "step": 1023 + }, + { + "epoch": 0.431657708926125, + "grad_norm": 0.2635532021522522, + "learning_rate": 4.789054481558811e-06, + "loss": 0.6193, + "step": 1024 + }, + { + "epoch": 0.43207924965749817, + "grad_norm": 0.2546440362930298, + "learning_rate": 4.788604192178935e-06, + "loss": 0.6274, + "step": 1025 + }, + { + "epoch": 0.43250079038887135, + "grad_norm": 0.268265962600708, + "learning_rate": 4.788153443927367e-06, + "loss": 0.6401, + "step": 1026 + }, + { + "epoch": 0.4329223311202445, + "grad_norm": 0.2618175745010376, + "learning_rate": 4.787702236894483e-06, + "loss": 0.65, + "step": 1027 + }, + { + "epoch": 0.43334387185161766, + "grad_norm": 0.25307247042655945, + "learning_rate": 4.787250571170752e-06, + "loss": 0.624, + "step": 1028 + }, + { + "epoch": 0.43376541258299084, + "grad_norm": 0.24586071074008942, + "learning_rate": 4.786798446846734e-06, + "loss": 0.6287, + "step": 1029 + }, + { + "epoch": 0.434186953314364, + "grad_norm": 0.2568615972995758, + "learning_rate": 4.786345864013081e-06, + "loss": 0.6345, + "step": 1030 + }, + { + "epoch": 0.43460849404573715, + "grad_norm": 0.2736034691333771, + "learning_rate": 4.785892822760538e-06, + "loss": 0.6079, + "step": 1031 + }, + { + "epoch": 0.43503003477711033, + "grad_norm": 0.26009607315063477, + "learning_rate": 4.7854393231799415e-06, + "loss": 0.6154, + "step": 1032 + }, + { + "epoch": 0.4354515755084835, + "grad_norm": 0.26082906126976013, + "learning_rate": 4.784985365362217e-06, + "loss": 0.6118, + "step": 1033 + }, + { + "epoch": 0.4358731162398567, + "grad_norm": 0.26791390776634216, + "learning_rate": 4.784530949398386e-06, + "loss": 0.6348, + "step": 1034 + }, + { + "epoch": 0.4362946569712298, + "grad_norm": 0.24652516841888428, + "learning_rate": 4.78407607537956e-06, + "loss": 0.661, + "step": 1035 + }, + { + "epoch": 0.436716197702603, + "grad_norm": 0.2581693232059479, + "learning_rate": 4.783620743396943e-06, + "loss": 0.6159, + "step": 1036 + }, + { + "epoch": 0.4371377384339762, + "grad_norm": 0.2631494998931885, + "learning_rate": 4.783164953541829e-06, + "loss": 0.6167, + "step": 1037 + }, + { + "epoch": 0.43755927916534937, + "grad_norm": 0.2587696611881256, + "learning_rate": 4.782708705905607e-06, + "loss": 0.619, + "step": 1038 + }, + { + "epoch": 0.4379808198967225, + "grad_norm": 0.255253404378891, + "learning_rate": 4.7822520005797545e-06, + "loss": 0.6425, + "step": 1039 + }, + { + "epoch": 0.4384023606280957, + "grad_norm": 0.26016899943351746, + "learning_rate": 4.7817948376558435e-06, + "loss": 0.6172, + "step": 1040 + }, + { + "epoch": 0.43882390135946886, + "grad_norm": 0.2678396701812744, + "learning_rate": 4.7813372172255345e-06, + "loss": 0.6272, + "step": 1041 + }, + { + "epoch": 0.43924544209084204, + "grad_norm": 0.2512117922306061, + "learning_rate": 4.780879139380584e-06, + "loss": 0.6242, + "step": 1042 + }, + { + "epoch": 0.43966698282221517, + "grad_norm": 0.25928163528442383, + "learning_rate": 4.780420604212836e-06, + "loss": 0.6097, + "step": 1043 + }, + { + "epoch": 0.44008852355358835, + "grad_norm": 0.2669723629951477, + "learning_rate": 4.77996161181423e-06, + "loss": 0.6439, + "step": 1044 + }, + { + "epoch": 0.44051006428496153, + "grad_norm": 0.2671312093734741, + "learning_rate": 4.779502162276793e-06, + "loss": 0.6315, + "step": 1045 + }, + { + "epoch": 0.4409316050163347, + "grad_norm": 0.25989487767219543, + "learning_rate": 4.7790422556926485e-06, + "loss": 0.6374, + "step": 1046 + }, + { + "epoch": 0.4413531457477079, + "grad_norm": 0.2662140429019928, + "learning_rate": 4.778581892154007e-06, + "loss": 0.6199, + "step": 1047 + }, + { + "epoch": 0.441774686479081, + "grad_norm": 0.2540116608142853, + "learning_rate": 4.778121071753174e-06, + "loss": 0.5967, + "step": 1048 + }, + { + "epoch": 0.4421962272104542, + "grad_norm": 0.2513158917427063, + "learning_rate": 4.777659794582544e-06, + "loss": 0.6175, + "step": 1049 + }, + { + "epoch": 0.4426177679418274, + "grad_norm": 0.2592232823371887, + "learning_rate": 4.777198060734606e-06, + "loss": 0.5877, + "step": 1050 + }, + { + "epoch": 0.44303930867320057, + "grad_norm": 0.25538673996925354, + "learning_rate": 4.776735870301939e-06, + "loss": 0.635, + "step": 1051 + }, + { + "epoch": 0.4434608494045737, + "grad_norm": 0.2596547603607178, + "learning_rate": 4.776273223377211e-06, + "loss": 0.64, + "step": 1052 + }, + { + "epoch": 0.4438823901359469, + "grad_norm": 0.2586513161659241, + "learning_rate": 4.775810120053186e-06, + "loss": 0.6121, + "step": 1053 + }, + { + "epoch": 0.44430393086732006, + "grad_norm": 0.2675786316394806, + "learning_rate": 4.775346560422718e-06, + "loss": 0.6537, + "step": 1054 + }, + { + "epoch": 0.44472547159869324, + "grad_norm": 0.2632947266101837, + "learning_rate": 4.7748825445787505e-06, + "loss": 0.6269, + "step": 1055 + }, + { + "epoch": 0.44514701233006637, + "grad_norm": 0.25514236092567444, + "learning_rate": 4.7744180726143215e-06, + "loss": 0.6271, + "step": 1056 + }, + { + "epoch": 0.44556855306143955, + "grad_norm": 0.26467758417129517, + "learning_rate": 4.773953144622558e-06, + "loss": 0.6083, + "step": 1057 + }, + { + "epoch": 0.44599009379281274, + "grad_norm": 0.25567513704299927, + "learning_rate": 4.773487760696679e-06, + "loss": 0.632, + "step": 1058 + }, + { + "epoch": 0.4464116345241859, + "grad_norm": 0.26852452754974365, + "learning_rate": 4.773021920929996e-06, + "loss": 0.6156, + "step": 1059 + }, + { + "epoch": 0.44683317525555905, + "grad_norm": 0.26093602180480957, + "learning_rate": 4.772555625415912e-06, + "loss": 0.6063, + "step": 1060 + }, + { + "epoch": 0.4472547159869322, + "grad_norm": 0.2546708285808563, + "learning_rate": 4.77208887424792e-06, + "loss": 0.6205, + "step": 1061 + }, + { + "epoch": 0.4476762567183054, + "grad_norm": 0.2539382576942444, + "learning_rate": 4.771621667519604e-06, + "loss": 0.6236, + "step": 1062 + }, + { + "epoch": 0.4480977974496786, + "grad_norm": 0.26151296496391296, + "learning_rate": 4.7711540053246415e-06, + "loss": 0.5942, + "step": 1063 + }, + { + "epoch": 0.4485193381810517, + "grad_norm": 0.2815280258655548, + "learning_rate": 4.770685887756799e-06, + "loss": 0.6457, + "step": 1064 + }, + { + "epoch": 0.4489408789124249, + "grad_norm": 0.269229918718338, + "learning_rate": 4.770217314909937e-06, + "loss": 0.6418, + "step": 1065 + }, + { + "epoch": 0.4493624196437981, + "grad_norm": 0.26152241230010986, + "learning_rate": 4.7697482868780025e-06, + "loss": 0.6066, + "step": 1066 + }, + { + "epoch": 0.44978396037517127, + "grad_norm": 0.2684823274612427, + "learning_rate": 4.769278803755041e-06, + "loss": 0.6238, + "step": 1067 + }, + { + "epoch": 0.4502055011065444, + "grad_norm": 0.25364938378334045, + "learning_rate": 4.768808865635183e-06, + "loss": 0.6417, + "step": 1068 + }, + { + "epoch": 0.4506270418379176, + "grad_norm": 0.2659594714641571, + "learning_rate": 4.7683384726126525e-06, + "loss": 0.615, + "step": 1069 + }, + { + "epoch": 0.45104858256929076, + "grad_norm": 0.2671301066875458, + "learning_rate": 4.767867624781765e-06, + "loss": 0.6399, + "step": 1070 + }, + { + "epoch": 0.45147012330066394, + "grad_norm": 0.26167336106300354, + "learning_rate": 4.7673963222369264e-06, + "loss": 0.6278, + "step": 1071 + }, + { + "epoch": 0.4518916640320371, + "grad_norm": 0.2554144561290741, + "learning_rate": 4.766924565072636e-06, + "loss": 0.644, + "step": 1072 + }, + { + "epoch": 0.45231320476341025, + "grad_norm": 0.2789387106895447, + "learning_rate": 4.766452353383479e-06, + "loss": 0.6336, + "step": 1073 + }, + { + "epoch": 0.45273474549478343, + "grad_norm": 0.2620246708393097, + "learning_rate": 4.765979687264138e-06, + "loss": 0.6323, + "step": 1074 + }, + { + "epoch": 0.4531562862261566, + "grad_norm": 0.25983020663261414, + "learning_rate": 4.765506566809385e-06, + "loss": 0.6488, + "step": 1075 + }, + { + "epoch": 0.4535778269575298, + "grad_norm": 0.26858508586883545, + "learning_rate": 4.765032992114078e-06, + "loss": 0.6129, + "step": 1076 + }, + { + "epoch": 0.4539993676889029, + "grad_norm": 0.2651866376399994, + "learning_rate": 4.764558963273173e-06, + "loss": 0.6083, + "step": 1077 + }, + { + "epoch": 0.4544209084202761, + "grad_norm": 0.2506422996520996, + "learning_rate": 4.764084480381713e-06, + "loss": 0.6206, + "step": 1078 + }, + { + "epoch": 0.4548424491516493, + "grad_norm": 0.27116668224334717, + "learning_rate": 4.7636095435348336e-06, + "loss": 0.6445, + "step": 1079 + }, + { + "epoch": 0.45526398988302247, + "grad_norm": 0.26328805088996887, + "learning_rate": 4.763134152827762e-06, + "loss": 0.6463, + "step": 1080 + }, + { + "epoch": 0.4556855306143956, + "grad_norm": 0.26561427116394043, + "learning_rate": 4.762658308355813e-06, + "loss": 0.5944, + "step": 1081 + }, + { + "epoch": 0.4561070713457688, + "grad_norm": 0.2735762894153595, + "learning_rate": 4.762182010214398e-06, + "loss": 0.6099, + "step": 1082 + }, + { + "epoch": 0.45652861207714196, + "grad_norm": 0.27155566215515137, + "learning_rate": 4.761705258499012e-06, + "loss": 0.6211, + "step": 1083 + }, + { + "epoch": 0.45695015280851514, + "grad_norm": 0.2594447135925293, + "learning_rate": 4.761228053305249e-06, + "loss": 0.633, + "step": 1084 + }, + { + "epoch": 0.45737169353988827, + "grad_norm": 0.25998398661613464, + "learning_rate": 4.7607503947287885e-06, + "loss": 0.6284, + "step": 1085 + }, + { + "epoch": 0.45779323427126145, + "grad_norm": 0.26641547679901123, + "learning_rate": 4.760272282865402e-06, + "loss": 0.5986, + "step": 1086 + }, + { + "epoch": 0.45821477500263463, + "grad_norm": 0.26664137840270996, + "learning_rate": 4.759793717810951e-06, + "loss": 0.614, + "step": 1087 + }, + { + "epoch": 0.4586363157340078, + "grad_norm": 0.2598848342895508, + "learning_rate": 4.759314699661392e-06, + "loss": 0.617, + "step": 1088 + }, + { + "epoch": 0.45905785646538094, + "grad_norm": 0.28089427947998047, + "learning_rate": 4.758835228512768e-06, + "loss": 0.6155, + "step": 1089 + }, + { + "epoch": 0.4594793971967541, + "grad_norm": 0.28749001026153564, + "learning_rate": 4.758355304461215e-06, + "loss": 0.6243, + "step": 1090 + }, + { + "epoch": 0.4599009379281273, + "grad_norm": 0.27035224437713623, + "learning_rate": 4.757874927602959e-06, + "loss": 0.6113, + "step": 1091 + }, + { + "epoch": 0.4603224786595005, + "grad_norm": 0.2721879482269287, + "learning_rate": 4.757394098034316e-06, + "loss": 0.6232, + "step": 1092 + }, + { + "epoch": 0.4607440193908736, + "grad_norm": 0.2591506838798523, + "learning_rate": 4.756912815851694e-06, + "loss": 0.6237, + "step": 1093 + }, + { + "epoch": 0.4611655601222468, + "grad_norm": 0.2687780261039734, + "learning_rate": 4.756431081151593e-06, + "loss": 0.6327, + "step": 1094 + }, + { + "epoch": 0.46158710085362, + "grad_norm": 0.25412189960479736, + "learning_rate": 4.7559488940306e-06, + "loss": 0.5993, + "step": 1095 + }, + { + "epoch": 0.46200864158499316, + "grad_norm": 0.2526768147945404, + "learning_rate": 4.7554662545853966e-06, + "loss": 0.6207, + "step": 1096 + }, + { + "epoch": 0.46243018231636634, + "grad_norm": 0.26229342818260193, + "learning_rate": 4.754983162912753e-06, + "loss": 0.6353, + "step": 1097 + }, + { + "epoch": 0.46285172304773947, + "grad_norm": 0.25999030470848083, + "learning_rate": 4.754499619109529e-06, + "loss": 0.6407, + "step": 1098 + }, + { + "epoch": 0.46327326377911265, + "grad_norm": 0.26542598009109497, + "learning_rate": 4.754015623272679e-06, + "loss": 0.6319, + "step": 1099 + }, + { + "epoch": 0.46369480451048584, + "grad_norm": 0.25090083479881287, + "learning_rate": 4.753531175499243e-06, + "loss": 0.5904, + "step": 1100 + }, + { + "epoch": 0.464116345241859, + "grad_norm": 0.2685970962047577, + "learning_rate": 4.753046275886356e-06, + "loss": 0.638, + "step": 1101 + }, + { + "epoch": 0.46453788597323215, + "grad_norm": 0.2622133493423462, + "learning_rate": 4.7525609245312414e-06, + "loss": 0.6111, + "step": 1102 + }, + { + "epoch": 0.4649594267046053, + "grad_norm": 0.26265624165534973, + "learning_rate": 4.752075121531213e-06, + "loss": 0.6259, + "step": 1103 + }, + { + "epoch": 0.4653809674359785, + "grad_norm": 0.2703480124473572, + "learning_rate": 4.751588866983676e-06, + "loss": 0.615, + "step": 1104 + }, + { + "epoch": 0.4658025081673517, + "grad_norm": 0.2632228136062622, + "learning_rate": 4.751102160986126e-06, + "loss": 0.6091, + "step": 1105 + }, + { + "epoch": 0.4662240488987248, + "grad_norm": 0.2622014582157135, + "learning_rate": 4.750615003636149e-06, + "loss": 0.6336, + "step": 1106 + }, + { + "epoch": 0.466645589630098, + "grad_norm": 0.2672812342643738, + "learning_rate": 4.750127395031421e-06, + "loss": 0.6219, + "step": 1107 + }, + { + "epoch": 0.4670671303614712, + "grad_norm": 0.26772648096084595, + "learning_rate": 4.749639335269709e-06, + "loss": 0.6113, + "step": 1108 + }, + { + "epoch": 0.46748867109284437, + "grad_norm": 0.26772385835647583, + "learning_rate": 4.74915082444887e-06, + "loss": 0.6246, + "step": 1109 + }, + { + "epoch": 0.4679102118242175, + "grad_norm": 0.2761198580265045, + "learning_rate": 4.748661862666854e-06, + "loss": 0.6341, + "step": 1110 + }, + { + "epoch": 0.4683317525555907, + "grad_norm": 0.2883282005786896, + "learning_rate": 4.748172450021695e-06, + "loss": 0.6078, + "step": 1111 + }, + { + "epoch": 0.46875329328696386, + "grad_norm": 0.26267868280410767, + "learning_rate": 4.747682586611526e-06, + "loss": 0.6168, + "step": 1112 + }, + { + "epoch": 0.46917483401833704, + "grad_norm": 0.2641350030899048, + "learning_rate": 4.747192272534564e-06, + "loss": 0.6288, + "step": 1113 + }, + { + "epoch": 0.46959637474971017, + "grad_norm": 0.2652049660682678, + "learning_rate": 4.746701507889119e-06, + "loss": 0.6109, + "step": 1114 + }, + { + "epoch": 0.47001791548108335, + "grad_norm": 0.2701943516731262, + "learning_rate": 4.746210292773589e-06, + "loss": 0.631, + "step": 1115 + }, + { + "epoch": 0.47043945621245653, + "grad_norm": 0.26050370931625366, + "learning_rate": 4.745718627286467e-06, + "loss": 0.6046, + "step": 1116 + }, + { + "epoch": 0.4708609969438297, + "grad_norm": 0.2500555217266083, + "learning_rate": 4.745226511526331e-06, + "loss": 0.621, + "step": 1117 + }, + { + "epoch": 0.47128253767520284, + "grad_norm": 0.27831533551216125, + "learning_rate": 4.744733945591852e-06, + "loss": 0.6063, + "step": 1118 + }, + { + "epoch": 0.471704078406576, + "grad_norm": 0.27488645911216736, + "learning_rate": 4.7442409295817905e-06, + "loss": 0.6426, + "step": 1119 + }, + { + "epoch": 0.4721256191379492, + "grad_norm": 0.26801246404647827, + "learning_rate": 4.743747463594999e-06, + "loss": 0.6219, + "step": 1120 + }, + { + "epoch": 0.4725471598693224, + "grad_norm": 0.2606232464313507, + "learning_rate": 4.743253547730419e-06, + "loss": 0.6343, + "step": 1121 + }, + { + "epoch": 0.47296870060069557, + "grad_norm": 0.26671120524406433, + "learning_rate": 4.74275918208708e-06, + "loss": 0.6246, + "step": 1122 + }, + { + "epoch": 0.4733902413320687, + "grad_norm": 0.2592431306838989, + "learning_rate": 4.742264366764106e-06, + "loss": 0.6178, + "step": 1123 + }, + { + "epoch": 0.4738117820634419, + "grad_norm": 0.2565414309501648, + "learning_rate": 4.741769101860707e-06, + "loss": 0.6211, + "step": 1124 + }, + { + "epoch": 0.47423332279481506, + "grad_norm": 0.2641512453556061, + "learning_rate": 4.741273387476186e-06, + "loss": 0.6228, + "step": 1125 + }, + { + "epoch": 0.47465486352618824, + "grad_norm": 0.2560514211654663, + "learning_rate": 4.740777223709934e-06, + "loss": 0.6173, + "step": 1126 + }, + { + "epoch": 0.47507640425756137, + "grad_norm": 0.2703777253627777, + "learning_rate": 4.740280610661436e-06, + "loss": 0.6566, + "step": 1127 + }, + { + "epoch": 0.47549794498893455, + "grad_norm": 0.2565274238586426, + "learning_rate": 4.739783548430262e-06, + "loss": 0.6207, + "step": 1128 + }, + { + "epoch": 0.47591948572030773, + "grad_norm": 0.2626293897628784, + "learning_rate": 4.739286037116075e-06, + "loss": 0.6205, + "step": 1129 + }, + { + "epoch": 0.4763410264516809, + "grad_norm": 0.2706518769264221, + "learning_rate": 4.738788076818627e-06, + "loss": 0.6454, + "step": 1130 + }, + { + "epoch": 0.47676256718305404, + "grad_norm": 0.2505090534687042, + "learning_rate": 4.738289667637761e-06, + "loss": 0.6198, + "step": 1131 + }, + { + "epoch": 0.4771841079144272, + "grad_norm": 0.26570942997932434, + "learning_rate": 4.73779080967341e-06, + "loss": 0.6382, + "step": 1132 + }, + { + "epoch": 0.4776056486458004, + "grad_norm": 0.26299405097961426, + "learning_rate": 4.737291503025595e-06, + "loss": 0.6518, + "step": 1133 + }, + { + "epoch": 0.4780271893771736, + "grad_norm": 0.2567993998527527, + "learning_rate": 4.73679174779443e-06, + "loss": 0.621, + "step": 1134 + }, + { + "epoch": 0.4784487301085467, + "grad_norm": 0.27800050377845764, + "learning_rate": 4.736291544080116e-06, + "loss": 0.5977, + "step": 1135 + }, + { + "epoch": 0.4788702708399199, + "grad_norm": 0.26815560460090637, + "learning_rate": 4.735790891982946e-06, + "loss": 0.6233, + "step": 1136 + }, + { + "epoch": 0.4792918115712931, + "grad_norm": 0.26686331629753113, + "learning_rate": 4.735289791603303e-06, + "loss": 0.6315, + "step": 1137 + }, + { + "epoch": 0.47971335230266626, + "grad_norm": 0.2701219618320465, + "learning_rate": 4.734788243041656e-06, + "loss": 0.6328, + "step": 1138 + }, + { + "epoch": 0.4801348930340394, + "grad_norm": 0.26330623030662537, + "learning_rate": 4.7342862463985705e-06, + "loss": 0.6183, + "step": 1139 + }, + { + "epoch": 0.48055643376541257, + "grad_norm": 0.25904008746147156, + "learning_rate": 4.733783801774696e-06, + "loss": 0.6172, + "step": 1140 + }, + { + "epoch": 0.48097797449678575, + "grad_norm": 0.26612216234207153, + "learning_rate": 4.733280909270775e-06, + "loss": 0.6304, + "step": 1141 + }, + { + "epoch": 0.48139951522815894, + "grad_norm": 0.258950799703598, + "learning_rate": 4.73277756898764e-06, + "loss": 0.6151, + "step": 1142 + }, + { + "epoch": 0.48182105595953206, + "grad_norm": 0.2604837417602539, + "learning_rate": 4.73227378102621e-06, + "loss": 0.6077, + "step": 1143 + }, + { + "epoch": 0.48224259669090525, + "grad_norm": 0.27270665764808655, + "learning_rate": 4.731769545487496e-06, + "loss": 0.6295, + "step": 1144 + }, + { + "epoch": 0.4826641374222784, + "grad_norm": 0.27092665433883667, + "learning_rate": 4.731264862472601e-06, + "loss": 0.6293, + "step": 1145 + }, + { + "epoch": 0.4830856781536516, + "grad_norm": 0.2547491192817688, + "learning_rate": 4.730759732082713e-06, + "loss": 0.6165, + "step": 1146 + }, + { + "epoch": 0.4835072188850248, + "grad_norm": 0.2536171078681946, + "learning_rate": 4.730254154419114e-06, + "loss": 0.6339, + "step": 1147 + }, + { + "epoch": 0.4839287596163979, + "grad_norm": 0.3112848401069641, + "learning_rate": 4.729748129583171e-06, + "loss": 0.5989, + "step": 1148 + }, + { + "epoch": 0.4843503003477711, + "grad_norm": 0.2582842707633972, + "learning_rate": 4.729241657676347e-06, + "loss": 0.63, + "step": 1149 + }, + { + "epoch": 0.4847718410791443, + "grad_norm": 0.28158506751060486, + "learning_rate": 4.728734738800188e-06, + "loss": 0.6203, + "step": 1150 + }, + { + "epoch": 0.48519338181051747, + "grad_norm": 0.27585726976394653, + "learning_rate": 4.728227373056335e-06, + "loss": 0.5935, + "step": 1151 + }, + { + "epoch": 0.4856149225418906, + "grad_norm": 0.255629301071167, + "learning_rate": 4.727719560546514e-06, + "loss": 0.6066, + "step": 1152 + }, + { + "epoch": 0.4860364632732638, + "grad_norm": 0.2700357139110565, + "learning_rate": 4.727211301372545e-06, + "loss": 0.6083, + "step": 1153 + }, + { + "epoch": 0.48645800400463696, + "grad_norm": 0.25964388251304626, + "learning_rate": 4.7267025956363345e-06, + "loss": 0.6329, + "step": 1154 + }, + { + "epoch": 0.48687954473601014, + "grad_norm": 0.2649286985397339, + "learning_rate": 4.726193443439879e-06, + "loss": 0.6189, + "step": 1155 + }, + { + "epoch": 0.48730108546738327, + "grad_norm": 0.27843374013900757, + "learning_rate": 4.725683844885266e-06, + "loss": 0.6194, + "step": 1156 + }, + { + "epoch": 0.48772262619875645, + "grad_norm": 0.2973468005657196, + "learning_rate": 4.72517380007467e-06, + "loss": 0.624, + "step": 1157 + }, + { + "epoch": 0.48814416693012963, + "grad_norm": 0.2636312246322632, + "learning_rate": 4.724663309110359e-06, + "loss": 0.6249, + "step": 1158 + }, + { + "epoch": 0.4885657076615028, + "grad_norm": 0.2726534903049469, + "learning_rate": 4.724152372094685e-06, + "loss": 0.6207, + "step": 1159 + }, + { + "epoch": 0.48898724839287594, + "grad_norm": 0.28269731998443604, + "learning_rate": 4.7236409891300936e-06, + "loss": 0.6207, + "step": 1160 + }, + { + "epoch": 0.4894087891242491, + "grad_norm": 0.2639431357383728, + "learning_rate": 4.7231291603191184e-06, + "loss": 0.583, + "step": 1161 + }, + { + "epoch": 0.4898303298556223, + "grad_norm": 0.2738626301288605, + "learning_rate": 4.722616885764384e-06, + "loss": 0.6006, + "step": 1162 + }, + { + "epoch": 0.4902518705869955, + "grad_norm": 0.2973650395870209, + "learning_rate": 4.7221041655686e-06, + "loss": 0.6225, + "step": 1163 + }, + { + "epoch": 0.4906734113183686, + "grad_norm": 0.2661890387535095, + "learning_rate": 4.721590999834571e-06, + "loss": 0.6161, + "step": 1164 + }, + { + "epoch": 0.4910949520497418, + "grad_norm": 0.2920544743537903, + "learning_rate": 4.721077388665186e-06, + "loss": 0.6088, + "step": 1165 + }, + { + "epoch": 0.491516492781115, + "grad_norm": 0.2753474712371826, + "learning_rate": 4.720563332163428e-06, + "loss": 0.6053, + "step": 1166 + }, + { + "epoch": 0.49193803351248816, + "grad_norm": 0.2735542058944702, + "learning_rate": 4.720048830432364e-06, + "loss": 0.597, + "step": 1167 + }, + { + "epoch": 0.4923595742438613, + "grad_norm": 0.3518235683441162, + "learning_rate": 4.7195338835751545e-06, + "loss": 0.623, + "step": 1168 + }, + { + "epoch": 0.49278111497523447, + "grad_norm": 0.26030486822128296, + "learning_rate": 4.7190184916950484e-06, + "loss": 0.6369, + "step": 1169 + }, + { + "epoch": 0.49320265570660765, + "grad_norm": 0.26839718222618103, + "learning_rate": 4.718502654895383e-06, + "loss": 0.6006, + "step": 1170 + }, + { + "epoch": 0.49362419643798083, + "grad_norm": 0.2796967327594757, + "learning_rate": 4.7179863732795835e-06, + "loss": 0.6441, + "step": 1171 + }, + { + "epoch": 0.494045737169354, + "grad_norm": 0.2542371153831482, + "learning_rate": 4.7174696469511675e-06, + "loss": 0.6417, + "step": 1172 + }, + { + "epoch": 0.49446727790072714, + "grad_norm": 0.2567559778690338, + "learning_rate": 4.71695247601374e-06, + "loss": 0.6154, + "step": 1173 + }, + { + "epoch": 0.4948888186321003, + "grad_norm": 0.2611733675003052, + "learning_rate": 4.716434860570994e-06, + "loss": 0.6396, + "step": 1174 + }, + { + "epoch": 0.4953103593634735, + "grad_norm": 0.2692919373512268, + "learning_rate": 4.7159168007267144e-06, + "loss": 0.6252, + "step": 1175 + }, + { + "epoch": 0.4957319000948467, + "grad_norm": 0.2635321021080017, + "learning_rate": 4.715398296584773e-06, + "loss": 0.6166, + "step": 1176 + }, + { + "epoch": 0.4961534408262198, + "grad_norm": 0.2747281491756439, + "learning_rate": 4.7148793482491314e-06, + "loss": 0.6074, + "step": 1177 + }, + { + "epoch": 0.496574981557593, + "grad_norm": 0.27167364954948425, + "learning_rate": 4.71435995582384e-06, + "loss": 0.6175, + "step": 1178 + }, + { + "epoch": 0.4969965222889662, + "grad_norm": 0.27348098158836365, + "learning_rate": 4.713840119413039e-06, + "loss": 0.6353, + "step": 1179 + }, + { + "epoch": 0.49741806302033936, + "grad_norm": 0.2701179087162018, + "learning_rate": 4.713319839120957e-06, + "loss": 0.6189, + "step": 1180 + }, + { + "epoch": 0.4978396037517125, + "grad_norm": 0.28248587250709534, + "learning_rate": 4.712799115051911e-06, + "loss": 0.6056, + "step": 1181 + }, + { + "epoch": 0.49826114448308567, + "grad_norm": 0.2572071850299835, + "learning_rate": 4.7122779473103075e-06, + "loss": 0.6542, + "step": 1182 + }, + { + "epoch": 0.49868268521445885, + "grad_norm": 0.2606280446052551, + "learning_rate": 4.711756336000643e-06, + "loss": 0.6199, + "step": 1183 + }, + { + "epoch": 0.49910422594583204, + "grad_norm": 0.2715243399143219, + "learning_rate": 4.711234281227502e-06, + "loss": 0.6235, + "step": 1184 + }, + { + "epoch": 0.49952576667720516, + "grad_norm": 0.2728928327560425, + "learning_rate": 4.710711783095559e-06, + "loss": 0.6058, + "step": 1185 + }, + { + "epoch": 0.49994730740857835, + "grad_norm": 0.2675876021385193, + "learning_rate": 4.710188841709575e-06, + "loss": 0.629, + "step": 1186 + }, + { + "epoch": 0.5003688481399515, + "grad_norm": 0.2776484489440918, + "learning_rate": 4.709665457174399e-06, + "loss": 0.6052, + "step": 1187 + }, + { + "epoch": 0.5007903888713247, + "grad_norm": 0.26823145151138306, + "learning_rate": 4.709141629594975e-06, + "loss": 0.5789, + "step": 1188 + }, + { + "epoch": 0.5012119296026979, + "grad_norm": 0.29227155447006226, + "learning_rate": 4.7086173590763305e-06, + "loss": 0.6003, + "step": 1189 + }, + { + "epoch": 0.501633470334071, + "grad_norm": 0.2729746997356415, + "learning_rate": 4.708092645723584e-06, + "loss": 0.6348, + "step": 1190 + }, + { + "epoch": 0.5020550110654441, + "grad_norm": 0.2588585615158081, + "learning_rate": 4.70756748964194e-06, + "loss": 0.6124, + "step": 1191 + }, + { + "epoch": 0.5024765517968174, + "grad_norm": 0.2697394788265228, + "learning_rate": 4.707041890936696e-06, + "loss": 0.6089, + "step": 1192 + }, + { + "epoch": 0.5028980925281905, + "grad_norm": 0.259132444858551, + "learning_rate": 4.706515849713234e-06, + "loss": 0.5953, + "step": 1193 + }, + { + "epoch": 0.5033196332595637, + "grad_norm": 0.2552300691604614, + "learning_rate": 4.705989366077028e-06, + "loss": 0.6016, + "step": 1194 + }, + { + "epoch": 0.5037411739909369, + "grad_norm": 0.2820501923561096, + "learning_rate": 4.70546244013364e-06, + "loss": 0.6113, + "step": 1195 + }, + { + "epoch": 0.50416271472231, + "grad_norm": 0.25056329369544983, + "learning_rate": 4.704935071988719e-06, + "loss": 0.625, + "step": 1196 + }, + { + "epoch": 0.5045842554536832, + "grad_norm": 0.2605217695236206, + "learning_rate": 4.704407261748003e-06, + "loss": 0.6212, + "step": 1197 + }, + { + "epoch": 0.5050057961850564, + "grad_norm": 0.27459844946861267, + "learning_rate": 4.703879009517322e-06, + "loss": 0.6344, + "step": 1198 + }, + { + "epoch": 0.5054273369164296, + "grad_norm": 0.2750336527824402, + "learning_rate": 4.703350315402591e-06, + "loss": 0.6229, + "step": 1199 + }, + { + "epoch": 0.5058488776478027, + "grad_norm": 0.2644559442996979, + "learning_rate": 4.702821179509815e-06, + "loss": 0.6228, + "step": 1200 + }, + { + "epoch": 0.5062704183791759, + "grad_norm": 0.3024531900882721, + "learning_rate": 4.702291601945086e-06, + "loss": 0.5882, + "step": 1201 + }, + { + "epoch": 0.5066919591105491, + "grad_norm": 0.27915382385253906, + "learning_rate": 4.701761582814586e-06, + "loss": 0.6138, + "step": 1202 + }, + { + "epoch": 0.5071134998419222, + "grad_norm": 0.27671054005622864, + "learning_rate": 4.7012311222245866e-06, + "loss": 0.5977, + "step": 1203 + }, + { + "epoch": 0.5075350405732953, + "grad_norm": 0.29683148860931396, + "learning_rate": 4.700700220281446e-06, + "loss": 0.6166, + "step": 1204 + }, + { + "epoch": 0.5079565813046686, + "grad_norm": 0.26660504937171936, + "learning_rate": 4.700168877091612e-06, + "loss": 0.6251, + "step": 1205 + }, + { + "epoch": 0.5083781220360417, + "grad_norm": 0.2591957151889801, + "learning_rate": 4.699637092761619e-06, + "loss": 0.6149, + "step": 1206 + }, + { + "epoch": 0.508799662767415, + "grad_norm": 0.2905402183532715, + "learning_rate": 4.699104867398093e-06, + "loss": 0.6, + "step": 1207 + }, + { + "epoch": 0.5092212034987881, + "grad_norm": 0.28757134079933167, + "learning_rate": 4.6985722011077465e-06, + "loss": 0.6183, + "step": 1208 + }, + { + "epoch": 0.5096427442301612, + "grad_norm": 0.26568982005119324, + "learning_rate": 4.698039093997379e-06, + "loss": 0.6165, + "step": 1209 + }, + { + "epoch": 0.5100642849615344, + "grad_norm": 0.27066823840141296, + "learning_rate": 4.697505546173881e-06, + "loss": 0.5983, + "step": 1210 + }, + { + "epoch": 0.5104858256929076, + "grad_norm": 0.2730790674686432, + "learning_rate": 4.696971557744231e-06, + "loss": 0.6478, + "step": 1211 + }, + { + "epoch": 0.5109073664242807, + "grad_norm": 0.26784396171569824, + "learning_rate": 4.696437128815494e-06, + "loss": 0.625, + "step": 1212 + }, + { + "epoch": 0.5113289071556539, + "grad_norm": 0.27559807896614075, + "learning_rate": 4.6959022594948265e-06, + "loss": 0.6228, + "step": 1213 + }, + { + "epoch": 0.5117504478870271, + "grad_norm": 0.2691324055194855, + "learning_rate": 4.6953669498894695e-06, + "loss": 0.6239, + "step": 1214 + }, + { + "epoch": 0.5121719886184003, + "grad_norm": 0.2766820192337036, + "learning_rate": 4.694831200106754e-06, + "loss": 0.5974, + "step": 1215 + }, + { + "epoch": 0.5125935293497734, + "grad_norm": 0.2721300721168518, + "learning_rate": 4.694295010254101e-06, + "loss": 0.6012, + "step": 1216 + }, + { + "epoch": 0.5130150700811466, + "grad_norm": 0.27212944626808167, + "learning_rate": 4.693758380439016e-06, + "loss": 0.6383, + "step": 1217 + }, + { + "epoch": 0.5134366108125198, + "grad_norm": 0.25905007123947144, + "learning_rate": 4.693221310769097e-06, + "loss": 0.6465, + "step": 1218 + }, + { + "epoch": 0.5138581515438929, + "grad_norm": 0.26136910915374756, + "learning_rate": 4.692683801352026e-06, + "loss": 0.613, + "step": 1219 + }, + { + "epoch": 0.514279692275266, + "grad_norm": 0.2776919901371002, + "learning_rate": 4.692145852295577e-06, + "loss": 0.6029, + "step": 1220 + }, + { + "epoch": 0.5147012330066393, + "grad_norm": 0.26061469316482544, + "learning_rate": 4.6916074637076085e-06, + "loss": 0.6294, + "step": 1221 + }, + { + "epoch": 0.5151227737380124, + "grad_norm": 0.2639305293560028, + "learning_rate": 4.69106863569607e-06, + "loss": 0.607, + "step": 1222 + }, + { + "epoch": 0.5155443144693856, + "grad_norm": 0.2754727900028229, + "learning_rate": 4.690529368368999e-06, + "loss": 0.5958, + "step": 1223 + }, + { + "epoch": 0.5159658552007588, + "grad_norm": 0.26845815777778625, + "learning_rate": 4.6899896618345185e-06, + "loss": 0.6294, + "step": 1224 + }, + { + "epoch": 0.5163873959321319, + "grad_norm": 0.28922829031944275, + "learning_rate": 4.689449516200842e-06, + "loss": 0.6337, + "step": 1225 + }, + { + "epoch": 0.5168089366635051, + "grad_norm": 0.27070170640945435, + "learning_rate": 4.688908931576269e-06, + "loss": 0.636, + "step": 1226 + }, + { + "epoch": 0.5172304773948783, + "grad_norm": 0.26557695865631104, + "learning_rate": 4.68836790806919e-06, + "loss": 0.6313, + "step": 1227 + }, + { + "epoch": 0.5176520181262515, + "grad_norm": 0.2571782171726227, + "learning_rate": 4.6878264457880815e-06, + "loss": 0.6316, + "step": 1228 + }, + { + "epoch": 0.5180735588576246, + "grad_norm": 0.2846078872680664, + "learning_rate": 4.687284544841508e-06, + "loss": 0.6299, + "step": 1229 + }, + { + "epoch": 0.5184950995889978, + "grad_norm": 0.28038179874420166, + "learning_rate": 4.68674220533812e-06, + "loss": 0.6239, + "step": 1230 + }, + { + "epoch": 0.518916640320371, + "grad_norm": 0.26650097966194153, + "learning_rate": 4.686199427386662e-06, + "loss": 0.628, + "step": 1231 + }, + { + "epoch": 0.5193381810517441, + "grad_norm": 0.26156511902809143, + "learning_rate": 4.68565621109596e-06, + "loss": 0.6342, + "step": 1232 + }, + { + "epoch": 0.5197597217831172, + "grad_norm": 0.26265615224838257, + "learning_rate": 4.685112556574931e-06, + "loss": 0.6094, + "step": 1233 + }, + { + "epoch": 0.5201812625144905, + "grad_norm": 0.2677500247955322, + "learning_rate": 4.68456846393258e-06, + "loss": 0.6113, + "step": 1234 + }, + { + "epoch": 0.5206028032458636, + "grad_norm": 0.26116621494293213, + "learning_rate": 4.684023933277998e-06, + "loss": 0.6254, + "step": 1235 + }, + { + "epoch": 0.5210243439772368, + "grad_norm": 0.26652956008911133, + "learning_rate": 4.683478964720366e-06, + "loss": 0.6179, + "step": 1236 + }, + { + "epoch": 0.52144588470861, + "grad_norm": 0.2626531422138214, + "learning_rate": 4.68293355836895e-06, + "loss": 0.6542, + "step": 1237 + }, + { + "epoch": 0.5218674254399831, + "grad_norm": 0.2718144953250885, + "learning_rate": 4.682387714333108e-06, + "loss": 0.5996, + "step": 1238 + }, + { + "epoch": 0.5222889661713563, + "grad_norm": 0.27493616938591003, + "learning_rate": 4.681841432722281e-06, + "loss": 0.6105, + "step": 1239 + }, + { + "epoch": 0.5227105069027295, + "grad_norm": 0.2722738981246948, + "learning_rate": 4.681294713646002e-06, + "loss": 0.6091, + "step": 1240 + }, + { + "epoch": 0.5231320476341026, + "grad_norm": 0.2790028750896454, + "learning_rate": 4.680747557213888e-06, + "loss": 0.6217, + "step": 1241 + }, + { + "epoch": 0.5235535883654758, + "grad_norm": 0.26496145129203796, + "learning_rate": 4.680199963535646e-06, + "loss": 0.6097, + "step": 1242 + }, + { + "epoch": 0.523975129096849, + "grad_norm": 0.2740166485309601, + "learning_rate": 4.679651932721071e-06, + "loss": 0.6401, + "step": 1243 + }, + { + "epoch": 0.5243966698282222, + "grad_norm": 0.2687187194824219, + "learning_rate": 4.679103464880044e-06, + "loss": 0.6188, + "step": 1244 + }, + { + "epoch": 0.5248182105595953, + "grad_norm": 0.2666671872138977, + "learning_rate": 4.678554560122534e-06, + "loss": 0.6176, + "step": 1245 + }, + { + "epoch": 0.5252397512909684, + "grad_norm": 0.26051363348960876, + "learning_rate": 4.678005218558599e-06, + "loss": 0.6409, + "step": 1246 + }, + { + "epoch": 0.5256612920223417, + "grad_norm": 0.27537602186203003, + "learning_rate": 4.677455440298383e-06, + "loss": 0.625, + "step": 1247 + }, + { + "epoch": 0.5260828327537148, + "grad_norm": 0.2916540801525116, + "learning_rate": 4.676905225452117e-06, + "loss": 0.6291, + "step": 1248 + }, + { + "epoch": 0.526504373485088, + "grad_norm": 0.2708275318145752, + "learning_rate": 4.676354574130123e-06, + "loss": 0.6136, + "step": 1249 + }, + { + "epoch": 0.5269259142164612, + "grad_norm": 0.27206695079803467, + "learning_rate": 4.675803486442807e-06, + "loss": 0.607, + "step": 1250 + }, + { + "epoch": 0.5273474549478343, + "grad_norm": 0.2734690308570862, + "learning_rate": 4.6752519625006625e-06, + "loss": 0.6065, + "step": 1251 + }, + { + "epoch": 0.5277689956792075, + "grad_norm": 0.2904685139656067, + "learning_rate": 4.674700002414274e-06, + "loss": 0.5856, + "step": 1252 + }, + { + "epoch": 0.5281905364105807, + "grad_norm": 0.2815206050872803, + "learning_rate": 4.674147606294308e-06, + "loss": 0.6145, + "step": 1253 + }, + { + "epoch": 0.5286120771419538, + "grad_norm": 0.26160579919815063, + "learning_rate": 4.673594774251525e-06, + "loss": 0.6331, + "step": 1254 + }, + { + "epoch": 0.529033617873327, + "grad_norm": 0.27661266922950745, + "learning_rate": 4.673041506396767e-06, + "loss": 0.6137, + "step": 1255 + }, + { + "epoch": 0.5294551586047002, + "grad_norm": 0.2790932059288025, + "learning_rate": 4.672487802840966e-06, + "loss": 0.6175, + "step": 1256 + }, + { + "epoch": 0.5298766993360734, + "grad_norm": 0.2758411765098572, + "learning_rate": 4.671933663695142e-06, + "loss": 0.6006, + "step": 1257 + }, + { + "epoch": 0.5302982400674465, + "grad_norm": 0.26209884881973267, + "learning_rate": 4.671379089070402e-06, + "loss": 0.632, + "step": 1258 + }, + { + "epoch": 0.5307197807988197, + "grad_norm": 0.2769412696361542, + "learning_rate": 4.670824079077937e-06, + "loss": 0.5768, + "step": 1259 + }, + { + "epoch": 0.5311413215301929, + "grad_norm": 0.2690974473953247, + "learning_rate": 4.670268633829032e-06, + "loss": 0.6218, + "step": 1260 + }, + { + "epoch": 0.531562862261566, + "grad_norm": 0.26128584146499634, + "learning_rate": 4.669712753435052e-06, + "loss": 0.6099, + "step": 1261 + }, + { + "epoch": 0.5319844029929391, + "grad_norm": 0.26777008175849915, + "learning_rate": 4.669156438007454e-06, + "loss": 0.6289, + "step": 1262 + }, + { + "epoch": 0.5324059437243124, + "grad_norm": 0.2801518440246582, + "learning_rate": 4.668599687657781e-06, + "loss": 0.6217, + "step": 1263 + }, + { + "epoch": 0.5328274844556855, + "grad_norm": 0.28167295455932617, + "learning_rate": 4.6680425024976635e-06, + "loss": 0.6024, + "step": 1264 + }, + { + "epoch": 0.5332490251870587, + "grad_norm": 0.2719642221927643, + "learning_rate": 4.667484882638818e-06, + "loss": 0.6301, + "step": 1265 + }, + { + "epoch": 0.5336705659184319, + "grad_norm": 0.25974738597869873, + "learning_rate": 4.666926828193048e-06, + "loss": 0.6071, + "step": 1266 + }, + { + "epoch": 0.534092106649805, + "grad_norm": 0.271354079246521, + "learning_rate": 4.666368339272246e-06, + "loss": 0.625, + "step": 1267 + }, + { + "epoch": 0.5345136473811782, + "grad_norm": 0.2817900478839874, + "learning_rate": 4.665809415988391e-06, + "loss": 0.6105, + "step": 1268 + }, + { + "epoch": 0.5349351881125514, + "grad_norm": 0.28142639994621277, + "learning_rate": 4.665250058453549e-06, + "loss": 0.6025, + "step": 1269 + }, + { + "epoch": 0.5353567288439245, + "grad_norm": 0.2750336527824402, + "learning_rate": 4.664690266779871e-06, + "loss": 0.5902, + "step": 1270 + }, + { + "epoch": 0.5357782695752977, + "grad_norm": 0.28132110834121704, + "learning_rate": 4.664130041079599e-06, + "loss": 0.654, + "step": 1271 + }, + { + "epoch": 0.5361998103066709, + "grad_norm": 0.2764010727405548, + "learning_rate": 4.663569381465057e-06, + "loss": 0.6378, + "step": 1272 + }, + { + "epoch": 0.5366213510380441, + "grad_norm": 0.2571348249912262, + "learning_rate": 4.6630082880486625e-06, + "loss": 0.6298, + "step": 1273 + }, + { + "epoch": 0.5370428917694172, + "grad_norm": 0.2853141129016876, + "learning_rate": 4.6624467609429135e-06, + "loss": 0.592, + "step": 1274 + }, + { + "epoch": 0.5374644325007903, + "grad_norm": 0.2846934497356415, + "learning_rate": 4.661884800260399e-06, + "loss": 0.6011, + "step": 1275 + }, + { + "epoch": 0.5378859732321636, + "grad_norm": 0.2740291655063629, + "learning_rate": 4.661322406113794e-06, + "loss": 0.6189, + "step": 1276 + }, + { + "epoch": 0.5383075139635367, + "grad_norm": 0.2646265923976898, + "learning_rate": 4.660759578615859e-06, + "loss": 0.6108, + "step": 1277 + }, + { + "epoch": 0.53872905469491, + "grad_norm": 0.2702798843383789, + "learning_rate": 4.660196317879443e-06, + "loss": 0.6119, + "step": 1278 + }, + { + "epoch": 0.5391505954262831, + "grad_norm": 0.2724854052066803, + "learning_rate": 4.659632624017482e-06, + "loss": 0.6253, + "step": 1279 + }, + { + "epoch": 0.5395721361576562, + "grad_norm": 0.2663208842277527, + "learning_rate": 4.659068497142998e-06, + "loss": 0.627, + "step": 1280 + }, + { + "epoch": 0.5399936768890294, + "grad_norm": 0.26867082715034485, + "learning_rate": 4.6585039373690986e-06, + "loss": 0.6279, + "step": 1281 + }, + { + "epoch": 0.5404152176204026, + "grad_norm": 0.27773624658584595, + "learning_rate": 4.657938944808981e-06, + "loss": 0.5959, + "step": 1282 + }, + { + "epoch": 0.5408367583517757, + "grad_norm": 0.2634912431240082, + "learning_rate": 4.65737351957593e-06, + "loss": 0.6357, + "step": 1283 + }, + { + "epoch": 0.5412582990831489, + "grad_norm": 0.2709040939807892, + "learning_rate": 4.6568076617833104e-06, + "loss": 0.6215, + "step": 1284 + }, + { + "epoch": 0.5416798398145221, + "grad_norm": 0.2677391469478607, + "learning_rate": 4.656241371544581e-06, + "loss": 0.617, + "step": 1285 + }, + { + "epoch": 0.5421013805458953, + "grad_norm": 0.2628321349620819, + "learning_rate": 4.655674648973285e-06, + "loss": 0.6216, + "step": 1286 + }, + { + "epoch": 0.5425229212772684, + "grad_norm": 0.26534026861190796, + "learning_rate": 4.65510749418305e-06, + "loss": 0.5938, + "step": 1287 + }, + { + "epoch": 0.5429444620086415, + "grad_norm": 0.2653622627258301, + "learning_rate": 4.654539907287594e-06, + "loss": 0.6245, + "step": 1288 + }, + { + "epoch": 0.5433660027400148, + "grad_norm": 0.263202965259552, + "learning_rate": 4.653971888400719e-06, + "loss": 0.644, + "step": 1289 + }, + { + "epoch": 0.5437875434713879, + "grad_norm": 0.283340185880661, + "learning_rate": 4.653403437636314e-06, + "loss": 0.6118, + "step": 1290 + }, + { + "epoch": 0.544209084202761, + "grad_norm": 0.26572883129119873, + "learning_rate": 4.6528345551083565e-06, + "loss": 0.6024, + "step": 1291 + }, + { + "epoch": 0.5446306249341343, + "grad_norm": 0.26857027411460876, + "learning_rate": 4.652265240930907e-06, + "loss": 0.6376, + "step": 1292 + }, + { + "epoch": 0.5450521656655074, + "grad_norm": 0.278123140335083, + "learning_rate": 4.651695495218116e-06, + "loss": 0.6101, + "step": 1293 + }, + { + "epoch": 0.5454737063968806, + "grad_norm": 0.27677711844444275, + "learning_rate": 4.651125318084219e-06, + "loss": 0.63, + "step": 1294 + }, + { + "epoch": 0.5458952471282538, + "grad_norm": 0.3076222240924835, + "learning_rate": 4.6505547096435374e-06, + "loss": 0.6067, + "step": 1295 + }, + { + "epoch": 0.5463167878596269, + "grad_norm": 0.2680820822715759, + "learning_rate": 4.649983670010481e-06, + "loss": 0.6128, + "step": 1296 + }, + { + "epoch": 0.5467383285910001, + "grad_norm": 0.2639501392841339, + "learning_rate": 4.649412199299544e-06, + "loss": 0.6173, + "step": 1297 + }, + { + "epoch": 0.5471598693223733, + "grad_norm": 0.2687246799468994, + "learning_rate": 4.648840297625308e-06, + "loss": 0.6373, + "step": 1298 + }, + { + "epoch": 0.5475814100537465, + "grad_norm": 0.2728808522224426, + "learning_rate": 4.648267965102442e-06, + "loss": 0.6089, + "step": 1299 + }, + { + "epoch": 0.5480029507851196, + "grad_norm": 0.27639055252075195, + "learning_rate": 4.6476952018456974e-06, + "loss": 0.6113, + "step": 1300 + }, + { + "epoch": 0.5484244915164928, + "grad_norm": 0.2534872591495514, + "learning_rate": 4.647122007969919e-06, + "loss": 0.621, + "step": 1301 + }, + { + "epoch": 0.548846032247866, + "grad_norm": 0.254555881023407, + "learning_rate": 4.646548383590031e-06, + "loss": 0.636, + "step": 1302 + }, + { + "epoch": 0.5492675729792391, + "grad_norm": 0.27459999918937683, + "learning_rate": 4.645974328821048e-06, + "loss": 0.606, + "step": 1303 + }, + { + "epoch": 0.5496891137106122, + "grad_norm": 0.2772482931613922, + "learning_rate": 4.6453998437780675e-06, + "loss": 0.6275, + "step": 1304 + }, + { + "epoch": 0.5501106544419855, + "grad_norm": 0.27909979224205017, + "learning_rate": 4.644824928576278e-06, + "loss": 0.6096, + "step": 1305 + }, + { + "epoch": 0.5505321951733586, + "grad_norm": 0.29173335433006287, + "learning_rate": 4.6442495833309505e-06, + "loss": 0.6369, + "step": 1306 + }, + { + "epoch": 0.5509537359047318, + "grad_norm": 0.27623939514160156, + "learning_rate": 4.643673808157444e-06, + "loss": 0.6031, + "step": 1307 + }, + { + "epoch": 0.551375276636105, + "grad_norm": 0.2823559045791626, + "learning_rate": 4.643097603171202e-06, + "loss": 0.6291, + "step": 1308 + }, + { + "epoch": 0.5517968173674781, + "grad_norm": 0.27116885781288147, + "learning_rate": 4.642520968487755e-06, + "loss": 0.62, + "step": 1309 + }, + { + "epoch": 0.5522183580988513, + "grad_norm": 0.2853292226791382, + "learning_rate": 4.641943904222722e-06, + "loss": 0.6337, + "step": 1310 + }, + { + "epoch": 0.5526398988302245, + "grad_norm": 0.27805304527282715, + "learning_rate": 4.641366410491804e-06, + "loss": 0.6042, + "step": 1311 + }, + { + "epoch": 0.5530614395615976, + "grad_norm": 0.2828497290611267, + "learning_rate": 4.6407884874107914e-06, + "loss": 0.5965, + "step": 1312 + }, + { + "epoch": 0.5534829802929708, + "grad_norm": 0.33296999335289, + "learning_rate": 4.640210135095559e-06, + "loss": 0.6094, + "step": 1313 + }, + { + "epoch": 0.553904521024344, + "grad_norm": 0.28261128067970276, + "learning_rate": 4.6396313536620665e-06, + "loss": 0.6339, + "step": 1314 + }, + { + "epoch": 0.5543260617557172, + "grad_norm": 0.3172251284122467, + "learning_rate": 4.639052143226364e-06, + "loss": 0.611, + "step": 1315 + }, + { + "epoch": 0.5547476024870903, + "grad_norm": 0.2962484359741211, + "learning_rate": 4.638472503904583e-06, + "loss": 0.64, + "step": 1316 + }, + { + "epoch": 0.5551691432184634, + "grad_norm": 0.27523574233055115, + "learning_rate": 4.637892435812944e-06, + "loss": 0.6277, + "step": 1317 + }, + { + "epoch": 0.5555906839498367, + "grad_norm": 0.28877633810043335, + "learning_rate": 4.6373119390677515e-06, + "loss": 0.5888, + "step": 1318 + }, + { + "epoch": 0.5560122246812098, + "grad_norm": 0.2957388460636139, + "learning_rate": 4.6367310137853975e-06, + "loss": 0.6116, + "step": 1319 + }, + { + "epoch": 0.5564337654125829, + "grad_norm": 0.2656603455543518, + "learning_rate": 4.636149660082358e-06, + "loss": 0.6043, + "step": 1320 + }, + { + "epoch": 0.5568553061439562, + "grad_norm": 0.27609819173812866, + "learning_rate": 4.635567878075197e-06, + "loss": 0.6034, + "step": 1321 + }, + { + "epoch": 0.5572768468753293, + "grad_norm": 0.2761106491088867, + "learning_rate": 4.634985667880563e-06, + "loss": 0.6135, + "step": 1322 + }, + { + "epoch": 0.5576983876067025, + "grad_norm": 0.2718981206417084, + "learning_rate": 4.6344030296151915e-06, + "loss": 0.6282, + "step": 1323 + }, + { + "epoch": 0.5581199283380757, + "grad_norm": 0.264858603477478, + "learning_rate": 4.6338199633959025e-06, + "loss": 0.6012, + "step": 1324 + }, + { + "epoch": 0.5585414690694488, + "grad_norm": 0.281182199716568, + "learning_rate": 4.633236469339603e-06, + "loss": 0.6261, + "step": 1325 + }, + { + "epoch": 0.558963009800822, + "grad_norm": 0.28161755204200745, + "learning_rate": 4.632652547563284e-06, + "loss": 0.6213, + "step": 1326 + }, + { + "epoch": 0.5593845505321952, + "grad_norm": 0.28579044342041016, + "learning_rate": 4.632068198184024e-06, + "loss": 0.5848, + "step": 1327 + }, + { + "epoch": 0.5598060912635684, + "grad_norm": 0.28025031089782715, + "learning_rate": 4.631483421318989e-06, + "loss": 0.6444, + "step": 1328 + }, + { + "epoch": 0.5602276319949415, + "grad_norm": 0.26460105180740356, + "learning_rate": 4.630898217085425e-06, + "loss": 0.6134, + "step": 1329 + }, + { + "epoch": 0.5606491727263146, + "grad_norm": 0.2625086307525635, + "learning_rate": 4.630312585600668e-06, + "loss": 0.6358, + "step": 1330 + }, + { + "epoch": 0.5610707134576879, + "grad_norm": 0.27133291959762573, + "learning_rate": 4.62972652698214e-06, + "loss": 0.6357, + "step": 1331 + }, + { + "epoch": 0.561492254189061, + "grad_norm": 0.267043799161911, + "learning_rate": 4.629140041347347e-06, + "loss": 0.623, + "step": 1332 + }, + { + "epoch": 0.5619137949204341, + "grad_norm": 0.27161791920661926, + "learning_rate": 4.628553128813882e-06, + "loss": 0.6226, + "step": 1333 + }, + { + "epoch": 0.5623353356518074, + "grad_norm": 0.27926748991012573, + "learning_rate": 4.62796578949942e-06, + "loss": 0.5837, + "step": 1334 + }, + { + "epoch": 0.5627568763831805, + "grad_norm": 0.29721203446388245, + "learning_rate": 4.627378023521726e-06, + "loss": 0.6374, + "step": 1335 + }, + { + "epoch": 0.5631784171145537, + "grad_norm": 0.2746407091617584, + "learning_rate": 4.626789830998649e-06, + "loss": 0.6241, + "step": 1336 + }, + { + "epoch": 0.5635999578459269, + "grad_norm": 0.2687798738479614, + "learning_rate": 4.626201212048123e-06, + "loss": 0.6414, + "step": 1337 + }, + { + "epoch": 0.5640214985773, + "grad_norm": 0.27230778336524963, + "learning_rate": 4.625612166788167e-06, + "loss": 0.5958, + "step": 1338 + }, + { + "epoch": 0.5644430393086732, + "grad_norm": 0.274969220161438, + "learning_rate": 4.6250226953368875e-06, + "loss": 0.6172, + "step": 1339 + }, + { + "epoch": 0.5648645800400464, + "grad_norm": 0.283153235912323, + "learning_rate": 4.624432797812474e-06, + "loss": 0.6026, + "step": 1340 + }, + { + "epoch": 0.5652861207714195, + "grad_norm": 0.27577412128448486, + "learning_rate": 4.623842474333202e-06, + "loss": 0.6189, + "step": 1341 + }, + { + "epoch": 0.5657076615027927, + "grad_norm": 0.27123355865478516, + "learning_rate": 4.623251725017436e-06, + "loss": 0.6146, + "step": 1342 + }, + { + "epoch": 0.5661292022341659, + "grad_norm": 0.2641772925853729, + "learning_rate": 4.622660549983621e-06, + "loss": 0.6335, + "step": 1343 + }, + { + "epoch": 0.5665507429655391, + "grad_norm": 0.2624492943286896, + "learning_rate": 4.622068949350289e-06, + "loss": 0.6314, + "step": 1344 + }, + { + "epoch": 0.5669722836969122, + "grad_norm": 0.2726256847381592, + "learning_rate": 4.621476923236058e-06, + "loss": 0.6422, + "step": 1345 + }, + { + "epoch": 0.5673938244282853, + "grad_norm": 0.26924243569374084, + "learning_rate": 4.62088447175963e-06, + "loss": 0.6421, + "step": 1346 + }, + { + "epoch": 0.5678153651596586, + "grad_norm": 0.25986015796661377, + "learning_rate": 4.620291595039797e-06, + "loss": 0.5958, + "step": 1347 + }, + { + "epoch": 0.5682369058910317, + "grad_norm": 0.2508310377597809, + "learning_rate": 4.619698293195427e-06, + "loss": 0.6323, + "step": 1348 + }, + { + "epoch": 0.568658446622405, + "grad_norm": 0.28102511167526245, + "learning_rate": 4.619104566345483e-06, + "loss": 0.5965, + "step": 1349 + }, + { + "epoch": 0.5690799873537781, + "grad_norm": 0.2653999924659729, + "learning_rate": 4.618510414609006e-06, + "loss": 0.6317, + "step": 1350 + }, + { + "epoch": 0.5695015280851512, + "grad_norm": 0.2717050313949585, + "learning_rate": 4.617915838105128e-06, + "loss": 0.6244, + "step": 1351 + }, + { + "epoch": 0.5699230688165244, + "grad_norm": 0.27203893661499023, + "learning_rate": 4.617320836953061e-06, + "loss": 0.6342, + "step": 1352 + }, + { + "epoch": 0.5703446095478976, + "grad_norm": 0.28115665912628174, + "learning_rate": 4.616725411272105e-06, + "loss": 0.5911, + "step": 1353 + }, + { + "epoch": 0.5707661502792707, + "grad_norm": 0.2593139708042145, + "learning_rate": 4.616129561181645e-06, + "loss": 0.6203, + "step": 1354 + }, + { + "epoch": 0.5711876910106439, + "grad_norm": 0.2681427597999573, + "learning_rate": 4.615533286801151e-06, + "loss": 0.6269, + "step": 1355 + }, + { + "epoch": 0.571609231742017, + "grad_norm": 0.2708660662174225, + "learning_rate": 4.614936588250176e-06, + "loss": 0.6163, + "step": 1356 + }, + { + "epoch": 0.5720307724733903, + "grad_norm": 0.2663513422012329, + "learning_rate": 4.614339465648361e-06, + "loss": 0.6329, + "step": 1357 + }, + { + "epoch": 0.5724523132047634, + "grad_norm": 0.2724343538284302, + "learning_rate": 4.613741919115432e-06, + "loss": 0.5891, + "step": 1358 + }, + { + "epoch": 0.5728738539361365, + "grad_norm": 0.2695017457008362, + "learning_rate": 4.613143948771196e-06, + "loss": 0.6104, + "step": 1359 + }, + { + "epoch": 0.5732953946675098, + "grad_norm": 0.27143579721450806, + "learning_rate": 4.61254555473555e-06, + "loss": 0.6004, + "step": 1360 + }, + { + "epoch": 0.5737169353988829, + "grad_norm": 0.2669190764427185, + "learning_rate": 4.611946737128472e-06, + "loss": 0.6345, + "step": 1361 + }, + { + "epoch": 0.574138476130256, + "grad_norm": 0.27886879444122314, + "learning_rate": 4.611347496070029e-06, + "loss": 0.6092, + "step": 1362 + }, + { + "epoch": 0.5745600168616293, + "grad_norm": 0.26956266164779663, + "learning_rate": 4.6107478316803675e-06, + "loss": 0.6073, + "step": 1363 + }, + { + "epoch": 0.5749815575930024, + "grad_norm": 0.272056519985199, + "learning_rate": 4.610147744079725e-06, + "loss": 0.6121, + "step": 1364 + }, + { + "epoch": 0.5754030983243756, + "grad_norm": 0.27157264947891235, + "learning_rate": 4.609547233388419e-06, + "loss": 0.6248, + "step": 1365 + }, + { + "epoch": 0.5758246390557488, + "grad_norm": 0.2761085331439972, + "learning_rate": 4.608946299726854e-06, + "loss": 0.6282, + "step": 1366 + }, + { + "epoch": 0.5762461797871219, + "grad_norm": 0.27115628123283386, + "learning_rate": 4.608344943215519e-06, + "loss": 0.5872, + "step": 1367 + }, + { + "epoch": 0.5766677205184951, + "grad_norm": 0.28046920895576477, + "learning_rate": 4.607743163974987e-06, + "loss": 0.6274, + "step": 1368 + }, + { + "epoch": 0.5770892612498683, + "grad_norm": 0.2628866732120514, + "learning_rate": 4.607140962125918e-06, + "loss": 0.6123, + "step": 1369 + }, + { + "epoch": 0.5775108019812414, + "grad_norm": 0.2672618329524994, + "learning_rate": 4.606538337789053e-06, + "loss": 0.6141, + "step": 1370 + }, + { + "epoch": 0.5779323427126146, + "grad_norm": 0.29874375462532043, + "learning_rate": 4.605935291085222e-06, + "loss": 0.6231, + "step": 1371 + }, + { + "epoch": 0.5783538834439877, + "grad_norm": 0.2824569046497345, + "learning_rate": 4.605331822135336e-06, + "loss": 0.6285, + "step": 1372 + }, + { + "epoch": 0.578775424175361, + "grad_norm": 0.2896886467933655, + "learning_rate": 4.604727931060393e-06, + "loss": 0.6215, + "step": 1373 + }, + { + "epoch": 0.5791969649067341, + "grad_norm": 0.2804042100906372, + "learning_rate": 4.604123617981477e-06, + "loss": 0.6106, + "step": 1374 + }, + { + "epoch": 0.5796185056381072, + "grad_norm": 0.26808956265449524, + "learning_rate": 4.6035188830197495e-06, + "loss": 0.6223, + "step": 1375 + }, + { + "epoch": 0.5800400463694805, + "grad_norm": 0.27078598737716675, + "learning_rate": 4.602913726296466e-06, + "loss": 0.6171, + "step": 1376 + }, + { + "epoch": 0.5804615871008536, + "grad_norm": 0.2836013436317444, + "learning_rate": 4.60230814793296e-06, + "loss": 0.6154, + "step": 1377 + }, + { + "epoch": 0.5808831278322268, + "grad_norm": 0.27606114745140076, + "learning_rate": 4.601702148050653e-06, + "loss": 0.637, + "step": 1378 + }, + { + "epoch": 0.5813046685636, + "grad_norm": 0.25860852003097534, + "learning_rate": 4.601095726771049e-06, + "loss": 0.6156, + "step": 1379 + }, + { + "epoch": 0.5817262092949731, + "grad_norm": 0.2803390622138977, + "learning_rate": 4.600488884215737e-06, + "loss": 0.6103, + "step": 1380 + }, + { + "epoch": 0.5821477500263463, + "grad_norm": 0.27952250838279724, + "learning_rate": 4.599881620506391e-06, + "loss": 0.6215, + "step": 1381 + }, + { + "epoch": 0.5825692907577195, + "grad_norm": 0.2727219760417938, + "learning_rate": 4.599273935764768e-06, + "loss": 0.6532, + "step": 1382 + }, + { + "epoch": 0.5829908314890926, + "grad_norm": 0.2749989628791809, + "learning_rate": 4.598665830112713e-06, + "loss": 0.6342, + "step": 1383 + }, + { + "epoch": 0.5834123722204658, + "grad_norm": 0.27826014161109924, + "learning_rate": 4.598057303672151e-06, + "loss": 0.6182, + "step": 1384 + }, + { + "epoch": 0.583833912951839, + "grad_norm": 0.26101773977279663, + "learning_rate": 4.597448356565094e-06, + "loss": 0.6149, + "step": 1385 + }, + { + "epoch": 0.5842554536832122, + "grad_norm": 0.27540817856788635, + "learning_rate": 4.596838988913637e-06, + "loss": 0.6178, + "step": 1386 + }, + { + "epoch": 0.5846769944145853, + "grad_norm": 0.34848058223724365, + "learning_rate": 4.59622920083996e-06, + "loss": 0.5944, + "step": 1387 + }, + { + "epoch": 0.5850985351459584, + "grad_norm": 0.26726233959198, + "learning_rate": 4.595618992466328e-06, + "loss": 0.5768, + "step": 1388 + }, + { + "epoch": 0.5855200758773317, + "grad_norm": 0.30718880891799927, + "learning_rate": 4.595008363915089e-06, + "loss": 0.6099, + "step": 1389 + }, + { + "epoch": 0.5859416166087048, + "grad_norm": 0.29525643587112427, + "learning_rate": 4.594397315308676e-06, + "loss": 0.6279, + "step": 1390 + }, + { + "epoch": 0.5863631573400779, + "grad_norm": 0.27441391348838806, + "learning_rate": 4.593785846769606e-06, + "loss": 0.6305, + "step": 1391 + }, + { + "epoch": 0.5867846980714512, + "grad_norm": 0.30598530173301697, + "learning_rate": 4.593173958420481e-06, + "loss": 0.6165, + "step": 1392 + }, + { + "epoch": 0.5872062388028243, + "grad_norm": 0.28334683179855347, + "learning_rate": 4.592561650383984e-06, + "loss": 0.6385, + "step": 1393 + }, + { + "epoch": 0.5876277795341975, + "grad_norm": 0.26329177618026733, + "learning_rate": 4.5919489227828865e-06, + "loss": 0.6177, + "step": 1394 + }, + { + "epoch": 0.5880493202655707, + "grad_norm": 0.2867093086242676, + "learning_rate": 4.591335775740042e-06, + "loss": 0.6081, + "step": 1395 + }, + { + "epoch": 0.5884708609969438, + "grad_norm": 0.28705722093582153, + "learning_rate": 4.590722209378387e-06, + "loss": 0.6131, + "step": 1396 + }, + { + "epoch": 0.588892401728317, + "grad_norm": 0.2669881582260132, + "learning_rate": 4.5901082238209445e-06, + "loss": 0.6209, + "step": 1397 + }, + { + "epoch": 0.5893139424596902, + "grad_norm": 0.26534005999565125, + "learning_rate": 4.589493819190821e-06, + "loss": 0.6578, + "step": 1398 + }, + { + "epoch": 0.5897354831910633, + "grad_norm": 0.2904300391674042, + "learning_rate": 4.588878995611205e-06, + "loss": 0.6183, + "step": 1399 + }, + { + "epoch": 0.5901570239224365, + "grad_norm": 0.26092708110809326, + "learning_rate": 4.58826375320537e-06, + "loss": 0.6138, + "step": 1400 + }, + { + "epoch": 0.5905785646538096, + "grad_norm": 0.2678774297237396, + "learning_rate": 4.587648092096675e-06, + "loss": 0.6136, + "step": 1401 + }, + { + "epoch": 0.5910001053851829, + "grad_norm": 0.29587626457214355, + "learning_rate": 4.587032012408561e-06, + "loss": 0.6095, + "step": 1402 + }, + { + "epoch": 0.591421646116556, + "grad_norm": 0.2828860282897949, + "learning_rate": 4.586415514264555e-06, + "loss": 0.595, + "step": 1403 + }, + { + "epoch": 0.5918431868479291, + "grad_norm": 0.28194284439086914, + "learning_rate": 4.585798597788266e-06, + "loss": 0.6387, + "step": 1404 + }, + { + "epoch": 0.5922647275793024, + "grad_norm": 0.32987740635871887, + "learning_rate": 4.585181263103387e-06, + "loss": 0.6452, + "step": 1405 + }, + { + "epoch": 0.5926862683106755, + "grad_norm": 0.2724097669124603, + "learning_rate": 4.584563510333696e-06, + "loss": 0.6049, + "step": 1406 + }, + { + "epoch": 0.5931078090420487, + "grad_norm": 0.26263338327407837, + "learning_rate": 4.583945339603053e-06, + "loss": 0.6346, + "step": 1407 + }, + { + "epoch": 0.5935293497734219, + "grad_norm": 0.29090073704719543, + "learning_rate": 4.583326751035405e-06, + "loss": 0.6365, + "step": 1408 + }, + { + "epoch": 0.593950890504795, + "grad_norm": 0.32534724473953247, + "learning_rate": 4.5827077447547795e-06, + "loss": 0.614, + "step": 1409 + }, + { + "epoch": 0.5943724312361682, + "grad_norm": 0.2802751958370209, + "learning_rate": 4.58208832088529e-06, + "loss": 0.6399, + "step": 1410 + }, + { + "epoch": 0.5947939719675414, + "grad_norm": 0.3451883792877197, + "learning_rate": 4.581468479551131e-06, + "loss": 0.6064, + "step": 1411 + }, + { + "epoch": 0.5952155126989145, + "grad_norm": 0.26382121443748474, + "learning_rate": 4.580848220876584e-06, + "loss": 0.6242, + "step": 1412 + }, + { + "epoch": 0.5956370534302877, + "grad_norm": 0.2767588198184967, + "learning_rate": 4.580227544986011e-06, + "loss": 0.6323, + "step": 1413 + }, + { + "epoch": 0.5960585941616608, + "grad_norm": 0.2695329785346985, + "learning_rate": 4.579606452003862e-06, + "loss": 0.6181, + "step": 1414 + }, + { + "epoch": 0.5964801348930341, + "grad_norm": 0.2818808853626251, + "learning_rate": 4.578984942054665e-06, + "loss": 0.6354, + "step": 1415 + }, + { + "epoch": 0.5969016756244072, + "grad_norm": 0.2704218029975891, + "learning_rate": 4.578363015263036e-06, + "loss": 0.6338, + "step": 1416 + }, + { + "epoch": 0.5973232163557803, + "grad_norm": 0.27999523282051086, + "learning_rate": 4.577740671753675e-06, + "loss": 0.6065, + "step": 1417 + }, + { + "epoch": 0.5977447570871536, + "grad_norm": 0.277739942073822, + "learning_rate": 4.57711791165136e-06, + "loss": 0.6323, + "step": 1418 + }, + { + "epoch": 0.5981662978185267, + "grad_norm": 0.2799640893936157, + "learning_rate": 4.576494735080957e-06, + "loss": 0.5866, + "step": 1419 + }, + { + "epoch": 0.5985878385498998, + "grad_norm": 0.271397203207016, + "learning_rate": 4.575871142167417e-06, + "loss": 0.6213, + "step": 1420 + }, + { + "epoch": 0.5990093792812731, + "grad_norm": 0.27047935128211975, + "learning_rate": 4.57524713303577e-06, + "loss": 0.6331, + "step": 1421 + }, + { + "epoch": 0.5994309200126462, + "grad_norm": 0.2855691909790039, + "learning_rate": 4.574622707811132e-06, + "loss": 0.6189, + "step": 1422 + }, + { + "epoch": 0.5998524607440194, + "grad_norm": 0.26830536127090454, + "learning_rate": 4.573997866618703e-06, + "loss": 0.63, + "step": 1423 + }, + { + "epoch": 0.6002740014753926, + "grad_norm": 0.27421873807907104, + "learning_rate": 4.5733726095837634e-06, + "loss": 0.649, + "step": 1424 + }, + { + "epoch": 0.6006955422067657, + "grad_norm": 0.32462403178215027, + "learning_rate": 4.5727469368316825e-06, + "loss": 0.6303, + "step": 1425 + }, + { + "epoch": 0.6011170829381389, + "grad_norm": 0.2736404240131378, + "learning_rate": 4.572120848487906e-06, + "loss": 0.6275, + "step": 1426 + }, + { + "epoch": 0.601538623669512, + "grad_norm": 0.2630680203437805, + "learning_rate": 4.571494344677968e-06, + "loss": 0.6186, + "step": 1427 + }, + { + "epoch": 0.6019601644008853, + "grad_norm": 0.35493215918540955, + "learning_rate": 4.570867425527484e-06, + "loss": 0.6075, + "step": 1428 + }, + { + "epoch": 0.6023817051322584, + "grad_norm": 0.27686911821365356, + "learning_rate": 4.570240091162154e-06, + "loss": 0.6367, + "step": 1429 + }, + { + "epoch": 0.6028032458636315, + "grad_norm": 0.2893412113189697, + "learning_rate": 4.569612341707759e-06, + "loss": 0.6339, + "step": 1430 + }, + { + "epoch": 0.6032247865950048, + "grad_norm": 0.3259349763393402, + "learning_rate": 4.568984177290164e-06, + "loss": 0.6071, + "step": 1431 + }, + { + "epoch": 0.6036463273263779, + "grad_norm": 0.28279799222946167, + "learning_rate": 4.56835559803532e-06, + "loss": 0.6377, + "step": 1432 + }, + { + "epoch": 0.604067868057751, + "grad_norm": 0.28336918354034424, + "learning_rate": 4.567726604069257e-06, + "loss": 0.6047, + "step": 1433 + }, + { + "epoch": 0.6044894087891243, + "grad_norm": 0.28855544328689575, + "learning_rate": 4.567097195518092e-06, + "loss": 0.6104, + "step": 1434 + }, + { + "epoch": 0.6049109495204974, + "grad_norm": 0.2689586877822876, + "learning_rate": 4.566467372508021e-06, + "loss": 0.6279, + "step": 1435 + }, + { + "epoch": 0.6053324902518706, + "grad_norm": 0.2705938518047333, + "learning_rate": 4.5658371351653265e-06, + "loss": 0.5944, + "step": 1436 + }, + { + "epoch": 0.6057540309832438, + "grad_norm": 0.2617529332637787, + "learning_rate": 4.565206483616373e-06, + "loss": 0.6149, + "step": 1437 + }, + { + "epoch": 0.6061755717146169, + "grad_norm": 0.2758113145828247, + "learning_rate": 4.564575417987608e-06, + "loss": 0.6355, + "step": 1438 + }, + { + "epoch": 0.6065971124459901, + "grad_norm": 0.2844107151031494, + "learning_rate": 4.5639439384055615e-06, + "loss": 0.6108, + "step": 1439 + }, + { + "epoch": 0.6070186531773633, + "grad_norm": 0.2876218855381012, + "learning_rate": 4.563312044996847e-06, + "loss": 0.6357, + "step": 1440 + }, + { + "epoch": 0.6074401939087364, + "grad_norm": 0.26658907532691956, + "learning_rate": 4.5626797378881615e-06, + "loss": 0.634, + "step": 1441 + }, + { + "epoch": 0.6078617346401096, + "grad_norm": 0.26826658844947815, + "learning_rate": 4.562047017206283e-06, + "loss": 0.5936, + "step": 1442 + }, + { + "epoch": 0.6082832753714827, + "grad_norm": 0.28318578004837036, + "learning_rate": 4.561413883078077e-06, + "loss": 0.6081, + "step": 1443 + }, + { + "epoch": 0.608704816102856, + "grad_norm": 0.2692621052265167, + "learning_rate": 4.560780335630484e-06, + "loss": 0.5849, + "step": 1444 + }, + { + "epoch": 0.6091263568342291, + "grad_norm": 0.2663171887397766, + "learning_rate": 4.560146374990536e-06, + "loss": 0.6154, + "step": 1445 + }, + { + "epoch": 0.6095478975656022, + "grad_norm": 0.26806384325027466, + "learning_rate": 4.5595120012853425e-06, + "loss": 0.6142, + "step": 1446 + }, + { + "epoch": 0.6099694382969755, + "grad_norm": 0.26338180899620056, + "learning_rate": 4.558877214642095e-06, + "loss": 0.6183, + "step": 1447 + }, + { + "epoch": 0.6103909790283486, + "grad_norm": 0.2887309789657593, + "learning_rate": 4.558242015188075e-06, + "loss": 0.6238, + "step": 1448 + }, + { + "epoch": 0.6108125197597217, + "grad_norm": 0.28384050726890564, + "learning_rate": 4.557606403050638e-06, + "loss": 0.5964, + "step": 1449 + }, + { + "epoch": 0.611234060491095, + "grad_norm": 0.2647939920425415, + "learning_rate": 4.556970378357227e-06, + "loss": 0.5983, + "step": 1450 + }, + { + "epoch": 0.6116556012224681, + "grad_norm": 0.2683292627334595, + "learning_rate": 4.556333941235368e-06, + "loss": 0.6309, + "step": 1451 + }, + { + "epoch": 0.6120771419538413, + "grad_norm": 0.29334157705307007, + "learning_rate": 4.555697091812666e-06, + "loss": 0.6013, + "step": 1452 + }, + { + "epoch": 0.6124986826852145, + "grad_norm": 0.2800478935241699, + "learning_rate": 4.555059830216813e-06, + "loss": 0.6178, + "step": 1453 + }, + { + "epoch": 0.6129202234165876, + "grad_norm": 0.2783694863319397, + "learning_rate": 4.554422156575581e-06, + "loss": 0.6373, + "step": 1454 + }, + { + "epoch": 0.6133417641479608, + "grad_norm": 0.2783585786819458, + "learning_rate": 4.553784071016826e-06, + "loss": 0.6337, + "step": 1455 + }, + { + "epoch": 0.613763304879334, + "grad_norm": 0.27096617221832275, + "learning_rate": 4.553145573668486e-06, + "loss": 0.6279, + "step": 1456 + }, + { + "epoch": 0.6141848456107072, + "grad_norm": 0.267915815114975, + "learning_rate": 4.5525066646585805e-06, + "loss": 0.6164, + "step": 1457 + }, + { + "epoch": 0.6146063863420803, + "grad_norm": 0.2673802971839905, + "learning_rate": 4.551867344115214e-06, + "loss": 0.6355, + "step": 1458 + }, + { + "epoch": 0.6150279270734534, + "grad_norm": 0.2651333212852478, + "learning_rate": 4.551227612166571e-06, + "loss": 0.6326, + "step": 1459 + }, + { + "epoch": 0.6154494678048267, + "grad_norm": 0.3178790211677551, + "learning_rate": 4.550587468940921e-06, + "loss": 0.6102, + "step": 1460 + }, + { + "epoch": 0.6158710085361998, + "grad_norm": 0.2939439117908478, + "learning_rate": 4.549946914566612e-06, + "loss": 0.6204, + "step": 1461 + }, + { + "epoch": 0.6162925492675729, + "grad_norm": 0.2602866590023041, + "learning_rate": 4.549305949172078e-06, + "loss": 0.6299, + "step": 1462 + }, + { + "epoch": 0.6167140899989462, + "grad_norm": 0.26795539259910583, + "learning_rate": 4.5486645728858355e-06, + "loss": 0.6131, + "step": 1463 + }, + { + "epoch": 0.6171356307303193, + "grad_norm": 0.28208860754966736, + "learning_rate": 4.548022785836483e-06, + "loss": 0.59, + "step": 1464 + }, + { + "epoch": 0.6175571714616925, + "grad_norm": 0.2706642150878906, + "learning_rate": 4.547380588152698e-06, + "loss": 0.6256, + "step": 1465 + }, + { + "epoch": 0.6179787121930657, + "grad_norm": 0.28007298707962036, + "learning_rate": 4.546737979963244e-06, + "loss": 0.6228, + "step": 1466 + }, + { + "epoch": 0.6184002529244388, + "grad_norm": 0.27777689695358276, + "learning_rate": 4.546094961396967e-06, + "loss": 0.5908, + "step": 1467 + }, + { + "epoch": 0.618821793655812, + "grad_norm": 0.2847370207309723, + "learning_rate": 4.545451532582793e-06, + "loss": 0.6218, + "step": 1468 + }, + { + "epoch": 0.6192433343871852, + "grad_norm": 0.28691092133522034, + "learning_rate": 4.544807693649731e-06, + "loss": 0.636, + "step": 1469 + }, + { + "epoch": 0.6196648751185583, + "grad_norm": 0.2734300494194031, + "learning_rate": 4.544163444726873e-06, + "loss": 0.6121, + "step": 1470 + }, + { + "epoch": 0.6200864158499315, + "grad_norm": 0.27876222133636475, + "learning_rate": 4.543518785943394e-06, + "loss": 0.6277, + "step": 1471 + }, + { + "epoch": 0.6205079565813046, + "grad_norm": 0.28242984414100647, + "learning_rate": 4.5428737174285474e-06, + "loss": 0.5956, + "step": 1472 + }, + { + "epoch": 0.6209294973126779, + "grad_norm": 0.273242324590683, + "learning_rate": 4.5422282393116725e-06, + "loss": 0.6177, + "step": 1473 + }, + { + "epoch": 0.621351038044051, + "grad_norm": 0.27772805094718933, + "learning_rate": 4.54158235172219e-06, + "loss": 0.6294, + "step": 1474 + }, + { + "epoch": 0.6217725787754241, + "grad_norm": 0.2782262861728668, + "learning_rate": 4.540936054789602e-06, + "loss": 0.6131, + "step": 1475 + }, + { + "epoch": 0.6221941195067974, + "grad_norm": 0.2707035541534424, + "learning_rate": 4.540289348643493e-06, + "loss": 0.6204, + "step": 1476 + }, + { + "epoch": 0.6226156602381705, + "grad_norm": 0.2733548581600189, + "learning_rate": 4.539642233413528e-06, + "loss": 0.6325, + "step": 1477 + }, + { + "epoch": 0.6230372009695437, + "grad_norm": 0.2936704456806183, + "learning_rate": 4.538994709229457e-06, + "loss": 0.5916, + "step": 1478 + }, + { + "epoch": 0.6234587417009169, + "grad_norm": 0.26808828115463257, + "learning_rate": 4.538346776221111e-06, + "loss": 0.6068, + "step": 1479 + }, + { + "epoch": 0.62388028243229, + "grad_norm": 0.2771219313144684, + "learning_rate": 4.537698434518401e-06, + "loss": 0.6029, + "step": 1480 + }, + { + "epoch": 0.6243018231636632, + "grad_norm": 0.2813969552516937, + "learning_rate": 4.537049684251322e-06, + "loss": 0.6189, + "step": 1481 + }, + { + "epoch": 0.6247233638950364, + "grad_norm": 0.29234641790390015, + "learning_rate": 4.536400525549948e-06, + "loss": 0.6017, + "step": 1482 + }, + { + "epoch": 0.6251449046264095, + "grad_norm": 0.27003294229507446, + "learning_rate": 4.5357509585444415e-06, + "loss": 0.6131, + "step": 1483 + }, + { + "epoch": 0.6255664453577827, + "grad_norm": 0.28071534633636475, + "learning_rate": 4.53510098336504e-06, + "loss": 0.627, + "step": 1484 + }, + { + "epoch": 0.6259879860891558, + "grad_norm": 0.27603864669799805, + "learning_rate": 4.534450600142064e-06, + "loss": 0.6086, + "step": 1485 + }, + { + "epoch": 0.6264095268205291, + "grad_norm": 0.27458807826042175, + "learning_rate": 4.533799809005921e-06, + "loss": 0.5987, + "step": 1486 + }, + { + "epoch": 0.6268310675519022, + "grad_norm": 0.28000253438949585, + "learning_rate": 4.533148610087093e-06, + "loss": 0.5872, + "step": 1487 + }, + { + "epoch": 0.6272526082832753, + "grad_norm": 0.27066949009895325, + "learning_rate": 4.53249700351615e-06, + "loss": 0.5847, + "step": 1488 + }, + { + "epoch": 0.6276741490146486, + "grad_norm": 0.27049657702445984, + "learning_rate": 4.531844989423738e-06, + "loss": 0.6182, + "step": 1489 + }, + { + "epoch": 0.6280956897460217, + "grad_norm": 0.2775096893310547, + "learning_rate": 4.531192567940591e-06, + "loss": 0.6314, + "step": 1490 + }, + { + "epoch": 0.6285172304773948, + "grad_norm": 0.274361789226532, + "learning_rate": 4.530539739197519e-06, + "loss": 0.5897, + "step": 1491 + }, + { + "epoch": 0.6289387712087681, + "grad_norm": 0.27788275480270386, + "learning_rate": 4.529886503325416e-06, + "loss": 0.627, + "step": 1492 + }, + { + "epoch": 0.6293603119401412, + "grad_norm": 0.27773517370224, + "learning_rate": 4.529232860455259e-06, + "loss": 0.5992, + "step": 1493 + }, + { + "epoch": 0.6297818526715144, + "grad_norm": 0.2709919214248657, + "learning_rate": 4.528578810718105e-06, + "loss": 0.6278, + "step": 1494 + }, + { + "epoch": 0.6302033934028876, + "grad_norm": 0.26856496930122375, + "learning_rate": 4.527924354245093e-06, + "loss": 0.6096, + "step": 1495 + }, + { + "epoch": 0.6306249341342607, + "grad_norm": 0.273642361164093, + "learning_rate": 4.527269491167441e-06, + "loss": 0.601, + "step": 1496 + }, + { + "epoch": 0.6310464748656339, + "grad_norm": 0.2719555199146271, + "learning_rate": 4.5266142216164534e-06, + "loss": 0.5962, + "step": 1497 + }, + { + "epoch": 0.631468015597007, + "grad_norm": 0.2666900157928467, + "learning_rate": 4.525958545723514e-06, + "loss": 0.6321, + "step": 1498 + }, + { + "epoch": 0.6318895563283802, + "grad_norm": 0.27161481976509094, + "learning_rate": 4.5253024636200855e-06, + "loss": 0.6045, + "step": 1499 + }, + { + "epoch": 0.6323110970597534, + "grad_norm": 0.269593745470047, + "learning_rate": 4.524645975437717e-06, + "loss": 0.6193, + "step": 1500 + }, + { + "epoch": 0.6327326377911265, + "grad_norm": 0.26981121301651, + "learning_rate": 4.523989081308034e-06, + "loss": 0.6238, + "step": 1501 + }, + { + "epoch": 0.6331541785224998, + "grad_norm": 0.2852029502391815, + "learning_rate": 4.523331781362746e-06, + "loss": 0.5843, + "step": 1502 + }, + { + "epoch": 0.6335757192538729, + "grad_norm": 0.26800987124443054, + "learning_rate": 4.522674075733644e-06, + "loss": 0.6485, + "step": 1503 + }, + { + "epoch": 0.633997259985246, + "grad_norm": 0.26402559876441956, + "learning_rate": 4.5220159645526e-06, + "loss": 0.637, + "step": 1504 + }, + { + "epoch": 0.6344188007166193, + "grad_norm": 0.28142592310905457, + "learning_rate": 4.521357447951567e-06, + "loss": 0.638, + "step": 1505 + }, + { + "epoch": 0.6348403414479924, + "grad_norm": 0.2762514054775238, + "learning_rate": 4.520698526062579e-06, + "loss": 0.6063, + "step": 1506 + }, + { + "epoch": 0.6352618821793656, + "grad_norm": 0.27199673652648926, + "learning_rate": 4.520039199017752e-06, + "loss": 0.6026, + "step": 1507 + }, + { + "epoch": 0.6356834229107388, + "grad_norm": 0.2824305593967438, + "learning_rate": 4.519379466949283e-06, + "loss": 0.6126, + "step": 1508 + }, + { + "epoch": 0.6361049636421119, + "grad_norm": 0.27216824889183044, + "learning_rate": 4.51871932998945e-06, + "loss": 0.6105, + "step": 1509 + }, + { + "epoch": 0.6365265043734851, + "grad_norm": 0.2837934195995331, + "learning_rate": 4.518058788270614e-06, + "loss": 0.5923, + "step": 1510 + }, + { + "epoch": 0.6369480451048583, + "grad_norm": 0.27647504210472107, + "learning_rate": 4.5173978419252135e-06, + "loss": 0.6132, + "step": 1511 + }, + { + "epoch": 0.6373695858362314, + "grad_norm": 0.28019583225250244, + "learning_rate": 4.51673649108577e-06, + "loss": 0.6115, + "step": 1512 + }, + { + "epoch": 0.6377911265676046, + "grad_norm": 0.28185561299324036, + "learning_rate": 4.516074735884888e-06, + "loss": 0.6146, + "step": 1513 + }, + { + "epoch": 0.6382126672989777, + "grad_norm": 0.29335102438926697, + "learning_rate": 4.5154125764552504e-06, + "loss": 0.5891, + "step": 1514 + }, + { + "epoch": 0.638634208030351, + "grad_norm": 0.28951752185821533, + "learning_rate": 4.514750012929621e-06, + "loss": 0.6138, + "step": 1515 + }, + { + "epoch": 0.6390557487617241, + "grad_norm": 0.2925238013267517, + "learning_rate": 4.514087045440847e-06, + "loss": 0.6185, + "step": 1516 + }, + { + "epoch": 0.6394772894930972, + "grad_norm": 0.29035359621047974, + "learning_rate": 4.513423674121855e-06, + "loss": 0.6293, + "step": 1517 + }, + { + "epoch": 0.6398988302244705, + "grad_norm": 0.29539164900779724, + "learning_rate": 4.512759899105653e-06, + "loss": 0.6239, + "step": 1518 + }, + { + "epoch": 0.6403203709558436, + "grad_norm": 0.2987770438194275, + "learning_rate": 4.512095720525329e-06, + "loss": 0.6182, + "step": 1519 + }, + { + "epoch": 0.6407419116872167, + "grad_norm": 0.2673036456108093, + "learning_rate": 4.511431138514054e-06, + "loss": 0.6192, + "step": 1520 + }, + { + "epoch": 0.64116345241859, + "grad_norm": 0.30469295382499695, + "learning_rate": 4.510766153205077e-06, + "loss": 0.6167, + "step": 1521 + }, + { + "epoch": 0.6415849931499631, + "grad_norm": 0.2974946200847626, + "learning_rate": 4.510100764731731e-06, + "loss": 0.6141, + "step": 1522 + }, + { + "epoch": 0.6420065338813363, + "grad_norm": 0.2762567400932312, + "learning_rate": 4.509434973227427e-06, + "loss": 0.6023, + "step": 1523 + }, + { + "epoch": 0.6424280746127095, + "grad_norm": 0.30400657653808594, + "learning_rate": 4.508768778825658e-06, + "loss": 0.6145, + "step": 1524 + }, + { + "epoch": 0.6428496153440826, + "grad_norm": 0.3083377480506897, + "learning_rate": 4.50810218166e-06, + "loss": 0.5834, + "step": 1525 + }, + { + "epoch": 0.6432711560754558, + "grad_norm": 0.2626950144767761, + "learning_rate": 4.507435181864106e-06, + "loss": 0.6237, + "step": 1526 + }, + { + "epoch": 0.643692696806829, + "grad_norm": 0.27182537317276, + "learning_rate": 4.5067677795717116e-06, + "loss": 0.5978, + "step": 1527 + }, + { + "epoch": 0.6441142375382022, + "grad_norm": 0.2731630504131317, + "learning_rate": 4.506099974916632e-06, + "loss": 0.6393, + "step": 1528 + }, + { + "epoch": 0.6445357782695753, + "grad_norm": 0.28954973816871643, + "learning_rate": 4.505431768032767e-06, + "loss": 0.6282, + "step": 1529 + }, + { + "epoch": 0.6449573190009484, + "grad_norm": 0.2655770480632782, + "learning_rate": 4.504763159054089e-06, + "loss": 0.599, + "step": 1530 + }, + { + "epoch": 0.6453788597323217, + "grad_norm": 0.2699226140975952, + "learning_rate": 4.5040941481146605e-06, + "loss": 0.6117, + "step": 1531 + }, + { + "epoch": 0.6458004004636948, + "grad_norm": 0.2721829116344452, + "learning_rate": 4.503424735348618e-06, + "loss": 0.6175, + "step": 1532 + }, + { + "epoch": 0.6462219411950679, + "grad_norm": 0.284728467464447, + "learning_rate": 4.502754920890181e-06, + "loss": 0.6212, + "step": 1533 + }, + { + "epoch": 0.6466434819264412, + "grad_norm": 0.26562049984931946, + "learning_rate": 4.502084704873649e-06, + "loss": 0.6224, + "step": 1534 + }, + { + "epoch": 0.6470650226578143, + "grad_norm": 0.2700594961643219, + "learning_rate": 4.501414087433404e-06, + "loss": 0.6279, + "step": 1535 + }, + { + "epoch": 0.6474865633891875, + "grad_norm": 0.31072473526000977, + "learning_rate": 4.500743068703905e-06, + "loss": 0.6061, + "step": 1536 + }, + { + "epoch": 0.6479081041205607, + "grad_norm": 0.29663199186325073, + "learning_rate": 4.5000716488196915e-06, + "loss": 0.5961, + "step": 1537 + }, + { + "epoch": 0.6483296448519338, + "grad_norm": 0.3037363886833191, + "learning_rate": 4.4993998279153885e-06, + "loss": 0.6213, + "step": 1538 + }, + { + "epoch": 0.648751185583307, + "grad_norm": 0.30323055386543274, + "learning_rate": 4.4987276061256965e-06, + "loss": 0.6202, + "step": 1539 + }, + { + "epoch": 0.6491727263146801, + "grad_norm": 0.2785603404045105, + "learning_rate": 4.498054983585398e-06, + "loss": 0.5867, + "step": 1540 + }, + { + "epoch": 0.6495942670460533, + "grad_norm": 0.2782061696052551, + "learning_rate": 4.497381960429355e-06, + "loss": 0.6235, + "step": 1541 + }, + { + "epoch": 0.6500158077774265, + "grad_norm": 0.29752299189567566, + "learning_rate": 4.496708536792512e-06, + "loss": 0.6339, + "step": 1542 + }, + { + "epoch": 0.6504373485087996, + "grad_norm": 0.2694087326526642, + "learning_rate": 4.496034712809891e-06, + "loss": 0.6221, + "step": 1543 + }, + { + "epoch": 0.6508588892401729, + "grad_norm": 0.2693852484226227, + "learning_rate": 4.495360488616598e-06, + "loss": 0.6295, + "step": 1544 + }, + { + "epoch": 0.651280429971546, + "grad_norm": 0.290547639131546, + "learning_rate": 4.494685864347813e-06, + "loss": 0.6006, + "step": 1545 + }, + { + "epoch": 0.6517019707029191, + "grad_norm": 0.27716904878616333, + "learning_rate": 4.494010840138804e-06, + "loss": 0.6015, + "step": 1546 + }, + { + "epoch": 0.6521235114342924, + "grad_norm": 0.26897433400154114, + "learning_rate": 4.493335416124912e-06, + "loss": 0.6091, + "step": 1547 + }, + { + "epoch": 0.6525450521656655, + "grad_norm": 0.2837153375148773, + "learning_rate": 4.4926595924415635e-06, + "loss": 0.6033, + "step": 1548 + }, + { + "epoch": 0.6529665928970386, + "grad_norm": 0.2710731625556946, + "learning_rate": 4.4919833692242635e-06, + "loss": 0.6008, + "step": 1549 + }, + { + "epoch": 0.6533881336284119, + "grad_norm": 0.28248926997184753, + "learning_rate": 4.491306746608595e-06, + "loss": 0.6209, + "step": 1550 + }, + { + "epoch": 0.653809674359785, + "grad_norm": 0.2770392894744873, + "learning_rate": 4.490629724730223e-06, + "loss": 0.5995, + "step": 1551 + }, + { + "epoch": 0.6542312150911582, + "grad_norm": 0.27291423082351685, + "learning_rate": 4.489952303724894e-06, + "loss": 0.6107, + "step": 1552 + }, + { + "epoch": 0.6546527558225314, + "grad_norm": 0.27929964661598206, + "learning_rate": 4.489274483728431e-06, + "loss": 0.601, + "step": 1553 + }, + { + "epoch": 0.6550742965539045, + "grad_norm": 0.2734281122684479, + "learning_rate": 4.48859626487674e-06, + "loss": 0.5962, + "step": 1554 + }, + { + "epoch": 0.6554958372852777, + "grad_norm": 0.28047844767570496, + "learning_rate": 4.487917647305804e-06, + "loss": 0.6208, + "step": 1555 + }, + { + "epoch": 0.6559173780166508, + "grad_norm": 0.275879830121994, + "learning_rate": 4.487238631151691e-06, + "loss": 0.6191, + "step": 1556 + }, + { + "epoch": 0.6563389187480241, + "grad_norm": 0.26818183064460754, + "learning_rate": 4.4865592165505424e-06, + "loss": 0.6054, + "step": 1557 + }, + { + "epoch": 0.6567604594793972, + "grad_norm": 0.26944100856781006, + "learning_rate": 4.485879403638585e-06, + "loss": 0.6024, + "step": 1558 + }, + { + "epoch": 0.6571820002107703, + "grad_norm": 0.2800596058368683, + "learning_rate": 4.485199192552123e-06, + "loss": 0.6088, + "step": 1559 + }, + { + "epoch": 0.6576035409421436, + "grad_norm": 0.26889878511428833, + "learning_rate": 4.484518583427539e-06, + "loss": 0.6045, + "step": 1560 + }, + { + "epoch": 0.6580250816735167, + "grad_norm": 0.265600323677063, + "learning_rate": 4.483837576401299e-06, + "loss": 0.6105, + "step": 1561 + }, + { + "epoch": 0.6584466224048898, + "grad_norm": 0.28204530477523804, + "learning_rate": 4.483156171609946e-06, + "loss": 0.6207, + "step": 1562 + }, + { + "epoch": 0.6588681631362631, + "grad_norm": 0.2679276764392853, + "learning_rate": 4.4824743691901025e-06, + "loss": 0.6232, + "step": 1563 + }, + { + "epoch": 0.6592897038676362, + "grad_norm": 0.27385732531547546, + "learning_rate": 4.481792169278474e-06, + "loss": 0.633, + "step": 1564 + }, + { + "epoch": 0.6597112445990094, + "grad_norm": 0.2697983682155609, + "learning_rate": 4.481109572011842e-06, + "loss": 0.6154, + "step": 1565 + }, + { + "epoch": 0.6601327853303826, + "grad_norm": 0.27938970923423767, + "learning_rate": 4.48042657752707e-06, + "loss": 0.6089, + "step": 1566 + }, + { + "epoch": 0.6605543260617557, + "grad_norm": 0.26816418766975403, + "learning_rate": 4.479743185961101e-06, + "loss": 0.6198, + "step": 1567 + }, + { + "epoch": 0.6609758667931289, + "grad_norm": 0.269928514957428, + "learning_rate": 4.479059397450955e-06, + "loss": 0.6093, + "step": 1568 + }, + { + "epoch": 0.661397407524502, + "grad_norm": 0.2774163484573364, + "learning_rate": 4.478375212133735e-06, + "loss": 0.6196, + "step": 1569 + }, + { + "epoch": 0.6618189482558752, + "grad_norm": 0.2701868414878845, + "learning_rate": 4.477690630146622e-06, + "loss": 0.5941, + "step": 1570 + }, + { + "epoch": 0.6622404889872484, + "grad_norm": 0.2725176215171814, + "learning_rate": 4.4770056516268755e-06, + "loss": 0.6138, + "step": 1571 + }, + { + "epoch": 0.6626620297186215, + "grad_norm": 0.27007344365119934, + "learning_rate": 4.476320276711836e-06, + "loss": 0.6425, + "step": 1572 + }, + { + "epoch": 0.6630835704499948, + "grad_norm": 0.2673550546169281, + "learning_rate": 4.475634505538925e-06, + "loss": 0.6205, + "step": 1573 + }, + { + "epoch": 0.6635051111813679, + "grad_norm": 0.2659700810909271, + "learning_rate": 4.4749483382456395e-06, + "loss": 0.5921, + "step": 1574 + }, + { + "epoch": 0.663926651912741, + "grad_norm": 0.2815890610218048, + "learning_rate": 4.47426177496956e-06, + "loss": 0.6092, + "step": 1575 + }, + { + "epoch": 0.6643481926441143, + "grad_norm": 0.2716395854949951, + "learning_rate": 4.473574815848341e-06, + "loss": 0.6044, + "step": 1576 + }, + { + "epoch": 0.6647697333754874, + "grad_norm": 0.2714964747428894, + "learning_rate": 4.472887461019723e-06, + "loss": 0.6357, + "step": 1577 + }, + { + "epoch": 0.6651912741068606, + "grad_norm": 0.26573747396469116, + "learning_rate": 4.4721997106215224e-06, + "loss": 0.5995, + "step": 1578 + }, + { + "epoch": 0.6656128148382338, + "grad_norm": 0.28311651945114136, + "learning_rate": 4.471511564791634e-06, + "loss": 0.616, + "step": 1579 + }, + { + "epoch": 0.6660343555696069, + "grad_norm": 0.281512051820755, + "learning_rate": 4.470823023668032e-06, + "loss": 0.6069, + "step": 1580 + }, + { + "epoch": 0.6664558963009801, + "grad_norm": 0.2670106589794159, + "learning_rate": 4.470134087388773e-06, + "loss": 0.6189, + "step": 1581 + }, + { + "epoch": 0.6668774370323532, + "grad_norm": 0.26908373832702637, + "learning_rate": 4.4694447560919896e-06, + "loss": 0.599, + "step": 1582 + }, + { + "epoch": 0.6672989777637264, + "grad_norm": 0.28021809458732605, + "learning_rate": 4.468755029915896e-06, + "loss": 0.6116, + "step": 1583 + }, + { + "epoch": 0.6677205184950996, + "grad_norm": 0.2837699353694916, + "learning_rate": 4.468064908998781e-06, + "loss": 0.605, + "step": 1584 + }, + { + "epoch": 0.6681420592264727, + "grad_norm": 0.2869711220264435, + "learning_rate": 4.4673743934790195e-06, + "loss": 0.6222, + "step": 1585 + }, + { + "epoch": 0.668563599957846, + "grad_norm": 0.27720531821250916, + "learning_rate": 4.46668348349506e-06, + "loss": 0.6344, + "step": 1586 + }, + { + "epoch": 0.6689851406892191, + "grad_norm": 0.2767402231693268, + "learning_rate": 4.465992179185432e-06, + "loss": 0.6305, + "step": 1587 + }, + { + "epoch": 0.6694066814205922, + "grad_norm": 0.2671508193016052, + "learning_rate": 4.465300480688745e-06, + "loss": 0.6026, + "step": 1588 + }, + { + "epoch": 0.6698282221519655, + "grad_norm": 0.28183871507644653, + "learning_rate": 4.4646083881436855e-06, + "loss": 0.5923, + "step": 1589 + }, + { + "epoch": 0.6702497628833386, + "grad_norm": 0.27600982785224915, + "learning_rate": 4.4639159016890195e-06, + "loss": 0.6335, + "step": 1590 + }, + { + "epoch": 0.6706713036147117, + "grad_norm": 0.2945455312728882, + "learning_rate": 4.463223021463595e-06, + "loss": 0.6129, + "step": 1591 + }, + { + "epoch": 0.671092844346085, + "grad_norm": 0.2954849302768707, + "learning_rate": 4.462529747606334e-06, + "loss": 0.6308, + "step": 1592 + }, + { + "epoch": 0.6715143850774581, + "grad_norm": 0.272697776556015, + "learning_rate": 4.46183608025624e-06, + "loss": 0.6243, + "step": 1593 + }, + { + "epoch": 0.6719359258088313, + "grad_norm": 0.28029197454452515, + "learning_rate": 4.461142019552397e-06, + "loss": 0.624, + "step": 1594 + }, + { + "epoch": 0.6723574665402045, + "grad_norm": 0.27908846735954285, + "learning_rate": 4.4604475656339645e-06, + "loss": 0.6188, + "step": 1595 + }, + { + "epoch": 0.6727790072715776, + "grad_norm": 0.2787590026855469, + "learning_rate": 4.459752718640183e-06, + "loss": 0.6203, + "step": 1596 + }, + { + "epoch": 0.6732005480029508, + "grad_norm": 0.3122871220111847, + "learning_rate": 4.459057478710372e-06, + "loss": 0.6221, + "step": 1597 + }, + { + "epoch": 0.6736220887343239, + "grad_norm": 0.3150908350944519, + "learning_rate": 4.458361845983929e-06, + "loss": 0.6024, + "step": 1598 + }, + { + "epoch": 0.6740436294656971, + "grad_norm": 0.28091809153556824, + "learning_rate": 4.45766582060033e-06, + "loss": 0.6219, + "step": 1599 + }, + { + "epoch": 0.6744651701970703, + "grad_norm": 0.3276417553424835, + "learning_rate": 4.456969402699129e-06, + "loss": 0.5989, + "step": 1600 + }, + { + "epoch": 0.6748867109284434, + "grad_norm": 0.28086593747138977, + "learning_rate": 4.456272592419961e-06, + "loss": 0.6066, + "step": 1601 + }, + { + "epoch": 0.6753082516598167, + "grad_norm": 0.29043135046958923, + "learning_rate": 4.455575389902539e-06, + "loss": 0.6236, + "step": 1602 + }, + { + "epoch": 0.6757297923911898, + "grad_norm": 0.2842647135257721, + "learning_rate": 4.4548777952866515e-06, + "loss": 0.6256, + "step": 1603 + }, + { + "epoch": 0.6761513331225629, + "grad_norm": 0.3000682592391968, + "learning_rate": 4.454179808712173e-06, + "loss": 0.603, + "step": 1604 + }, + { + "epoch": 0.6765728738539362, + "grad_norm": 0.26292684674263, + "learning_rate": 4.453481430319046e-06, + "loss": 0.6529, + "step": 1605 + }, + { + "epoch": 0.6769944145853093, + "grad_norm": 0.28136998414993286, + "learning_rate": 4.452782660247302e-06, + "loss": 0.5994, + "step": 1606 + }, + { + "epoch": 0.6774159553166825, + "grad_norm": 0.2886597812175751, + "learning_rate": 4.4520834986370435e-06, + "loss": 0.6141, + "step": 1607 + }, + { + "epoch": 0.6778374960480557, + "grad_norm": 0.2778439521789551, + "learning_rate": 4.451383945628456e-06, + "loss": 0.6098, + "step": 1608 + }, + { + "epoch": 0.6782590367794288, + "grad_norm": 0.2698838412761688, + "learning_rate": 4.450684001361802e-06, + "loss": 0.6022, + "step": 1609 + }, + { + "epoch": 0.678680577510802, + "grad_norm": 0.3036693334579468, + "learning_rate": 4.449983665977421e-06, + "loss": 0.5953, + "step": 1610 + }, + { + "epoch": 0.6791021182421751, + "grad_norm": 0.280348002910614, + "learning_rate": 4.449282939615734e-06, + "loss": 0.606, + "step": 1611 + }, + { + "epoch": 0.6795236589735483, + "grad_norm": 0.2767488658428192, + "learning_rate": 4.448581822417236e-06, + "loss": 0.6062, + "step": 1612 + }, + { + "epoch": 0.6799451997049215, + "grad_norm": 0.29645538330078125, + "learning_rate": 4.447880314522506e-06, + "loss": 0.5987, + "step": 1613 + }, + { + "epoch": 0.6803667404362946, + "grad_norm": 0.2836908996105194, + "learning_rate": 4.447178416072197e-06, + "loss": 0.6341, + "step": 1614 + }, + { + "epoch": 0.6807882811676679, + "grad_norm": 0.26265034079551697, + "learning_rate": 4.44647612720704e-06, + "loss": 0.5932, + "step": 1615 + }, + { + "epoch": 0.681209821899041, + "grad_norm": 0.28913354873657227, + "learning_rate": 4.445773448067849e-06, + "loss": 0.6349, + "step": 1616 + }, + { + "epoch": 0.6816313626304141, + "grad_norm": 0.2771572470664978, + "learning_rate": 4.445070378795512e-06, + "loss": 0.6177, + "step": 1617 + }, + { + "epoch": 0.6820529033617874, + "grad_norm": 0.26578274369239807, + "learning_rate": 4.444366919530995e-06, + "loss": 0.6289, + "step": 1618 + }, + { + "epoch": 0.6824744440931605, + "grad_norm": 0.2910264730453491, + "learning_rate": 4.443663070415345e-06, + "loss": 0.6338, + "step": 1619 + }, + { + "epoch": 0.6828959848245336, + "grad_norm": 0.27525678277015686, + "learning_rate": 4.442958831589686e-06, + "loss": 0.6194, + "step": 1620 + }, + { + "epoch": 0.6833175255559069, + "grad_norm": 0.2677125930786133, + "learning_rate": 4.442254203195219e-06, + "loss": 0.6259, + "step": 1621 + }, + { + "epoch": 0.68373906628728, + "grad_norm": 0.2736016809940338, + "learning_rate": 4.441549185373225e-06, + "loss": 0.6112, + "step": 1622 + }, + { + "epoch": 0.6841606070186532, + "grad_norm": 0.2876531481742859, + "learning_rate": 4.440843778265061e-06, + "loss": 0.607, + "step": 1623 + }, + { + "epoch": 0.6845821477500263, + "grad_norm": 0.28119125962257385, + "learning_rate": 4.440137982012163e-06, + "loss": 0.6166, + "step": 1624 + }, + { + "epoch": 0.6850036884813995, + "grad_norm": 0.27747398614883423, + "learning_rate": 4.439431796756047e-06, + "loss": 0.6046, + "step": 1625 + }, + { + "epoch": 0.6854252292127727, + "grad_norm": 0.26655852794647217, + "learning_rate": 4.4387252226383035e-06, + "loss": 0.6229, + "step": 1626 + }, + { + "epoch": 0.6858467699441458, + "grad_norm": 0.3029691278934479, + "learning_rate": 4.438018259800604e-06, + "loss": 0.5992, + "step": 1627 + }, + { + "epoch": 0.686268310675519, + "grad_norm": 0.26988986134529114, + "learning_rate": 4.4373109083846944e-06, + "loss": 0.6118, + "step": 1628 + }, + { + "epoch": 0.6866898514068922, + "grad_norm": 0.27183255553245544, + "learning_rate": 4.436603168532403e-06, + "loss": 0.6044, + "step": 1629 + }, + { + "epoch": 0.6871113921382653, + "grad_norm": 0.2642101049423218, + "learning_rate": 4.435895040385631e-06, + "loss": 0.6069, + "step": 1630 + }, + { + "epoch": 0.6875329328696386, + "grad_norm": 0.30380725860595703, + "learning_rate": 4.435186524086364e-06, + "loss": 0.5908, + "step": 1631 + }, + { + "epoch": 0.6879544736010117, + "grad_norm": 0.27173638343811035, + "learning_rate": 4.434477619776658e-06, + "loss": 0.6317, + "step": 1632 + }, + { + "epoch": 0.6883760143323848, + "grad_norm": 0.286288321018219, + "learning_rate": 4.433768327598651e-06, + "loss": 0.5705, + "step": 1633 + }, + { + "epoch": 0.6887975550637581, + "grad_norm": 0.2951652407646179, + "learning_rate": 4.43305864769456e-06, + "loss": 0.6033, + "step": 1634 + }, + { + "epoch": 0.6892190957951312, + "grad_norm": 0.2801284193992615, + "learning_rate": 4.4323485802066756e-06, + "loss": 0.616, + "step": 1635 + }, + { + "epoch": 0.6896406365265044, + "grad_norm": 0.28426387906074524, + "learning_rate": 4.43163812527737e-06, + "loss": 0.6123, + "step": 1636 + }, + { + "epoch": 0.6900621772578776, + "grad_norm": 0.2763877511024475, + "learning_rate": 4.430927283049092e-06, + "loss": 0.625, + "step": 1637 + }, + { + "epoch": 0.6904837179892507, + "grad_norm": 0.2745909094810486, + "learning_rate": 4.430216053664364e-06, + "loss": 0.6147, + "step": 1638 + }, + { + "epoch": 0.6909052587206239, + "grad_norm": 0.2839808166027069, + "learning_rate": 4.4295044372657934e-06, + "loss": 0.6203, + "step": 1639 + }, + { + "epoch": 0.691326799451997, + "grad_norm": 0.28000640869140625, + "learning_rate": 4.428792433996059e-06, + "loss": 0.5878, + "step": 1640 + }, + { + "epoch": 0.6917483401833702, + "grad_norm": 0.27341917157173157, + "learning_rate": 4.42808004399792e-06, + "loss": 0.5943, + "step": 1641 + }, + { + "epoch": 0.6921698809147434, + "grad_norm": 0.27175790071487427, + "learning_rate": 4.427367267414213e-06, + "loss": 0.6246, + "step": 1642 + }, + { + "epoch": 0.6925914216461165, + "grad_norm": 0.27792319655418396, + "learning_rate": 4.426654104387853e-06, + "loss": 0.6092, + "step": 1643 + }, + { + "epoch": 0.6930129623774898, + "grad_norm": 0.2790071964263916, + "learning_rate": 4.425940555061828e-06, + "loss": 0.5965, + "step": 1644 + }, + { + "epoch": 0.6934345031088629, + "grad_norm": 0.270605206489563, + "learning_rate": 4.42522661957921e-06, + "loss": 0.6445, + "step": 1645 + }, + { + "epoch": 0.693856043840236, + "grad_norm": 0.2771587669849396, + "learning_rate": 4.424512298083143e-06, + "loss": 0.6208, + "step": 1646 + }, + { + "epoch": 0.6942775845716093, + "grad_norm": 0.2780877649784088, + "learning_rate": 4.4237975907168514e-06, + "loss": 0.6218, + "step": 1647 + }, + { + "epoch": 0.6946991253029824, + "grad_norm": 0.2858000099658966, + "learning_rate": 4.423082497623636e-06, + "loss": 0.6081, + "step": 1648 + }, + { + "epoch": 0.6951206660343555, + "grad_norm": 0.27489861845970154, + "learning_rate": 4.422367018946875e-06, + "loss": 0.5982, + "step": 1649 + }, + { + "epoch": 0.6955422067657288, + "grad_norm": 0.27834510803222656, + "learning_rate": 4.421651154830024e-06, + "loss": 0.5961, + "step": 1650 + }, + { + "epoch": 0.6959637474971019, + "grad_norm": 0.2735705077648163, + "learning_rate": 4.420934905416614e-06, + "loss": 0.5981, + "step": 1651 + }, + { + "epoch": 0.6963852882284751, + "grad_norm": 0.28923502564430237, + "learning_rate": 4.420218270850258e-06, + "loss": 0.6034, + "step": 1652 + }, + { + "epoch": 0.6968068289598482, + "grad_norm": 0.2764311134815216, + "learning_rate": 4.419501251274641e-06, + "loss": 0.6532, + "step": 1653 + }, + { + "epoch": 0.6972283696912214, + "grad_norm": 0.29379788041114807, + "learning_rate": 4.4187838468335295e-06, + "loss": 0.5971, + "step": 1654 + }, + { + "epoch": 0.6976499104225946, + "grad_norm": 0.28338396549224854, + "learning_rate": 4.418066057670764e-06, + "loss": 0.5937, + "step": 1655 + }, + { + "epoch": 0.6980714511539677, + "grad_norm": 0.2692616879940033, + "learning_rate": 4.417347883930263e-06, + "loss": 0.615, + "step": 1656 + }, + { + "epoch": 0.698492991885341, + "grad_norm": 0.28758561611175537, + "learning_rate": 4.416629325756022e-06, + "loss": 0.6122, + "step": 1657 + }, + { + "epoch": 0.6989145326167141, + "grad_norm": 0.2703517973423004, + "learning_rate": 4.415910383292115e-06, + "loss": 0.6437, + "step": 1658 + }, + { + "epoch": 0.6993360733480872, + "grad_norm": 0.28340327739715576, + "learning_rate": 4.415191056682692e-06, + "loss": 0.6016, + "step": 1659 + }, + { + "epoch": 0.6997576140794605, + "grad_norm": 0.2763698697090149, + "learning_rate": 4.41447134607198e-06, + "loss": 0.5967, + "step": 1660 + }, + { + "epoch": 0.7001791548108336, + "grad_norm": 0.278862327337265, + "learning_rate": 4.413751251604282e-06, + "loss": 0.6285, + "step": 1661 + }, + { + "epoch": 0.7006006955422067, + "grad_norm": 0.27666908502578735, + "learning_rate": 4.413030773423981e-06, + "loss": 0.626, + "step": 1662 + }, + { + "epoch": 0.70102223627358, + "grad_norm": 0.2785831391811371, + "learning_rate": 4.412309911675533e-06, + "loss": 0.5918, + "step": 1663 + }, + { + "epoch": 0.7014437770049531, + "grad_norm": 0.2737468481063843, + "learning_rate": 4.411588666503473e-06, + "loss": 0.6294, + "step": 1664 + }, + { + "epoch": 0.7018653177363263, + "grad_norm": 0.2960760295391083, + "learning_rate": 4.410867038052414e-06, + "loss": 0.6145, + "step": 1665 + }, + { + "epoch": 0.7022868584676994, + "grad_norm": 0.273303359746933, + "learning_rate": 4.410145026467045e-06, + "loss": 0.5866, + "step": 1666 + }, + { + "epoch": 0.7027083991990726, + "grad_norm": 0.2917192876338959, + "learning_rate": 4.409422631892128e-06, + "loss": 0.6049, + "step": 1667 + }, + { + "epoch": 0.7031299399304458, + "grad_norm": 0.27532312273979187, + "learning_rate": 4.408699854472509e-06, + "loss": 0.6077, + "step": 1668 + }, + { + "epoch": 0.7035514806618189, + "grad_norm": 0.27879154682159424, + "learning_rate": 4.407976694353105e-06, + "loss": 0.5919, + "step": 1669 + }, + { + "epoch": 0.7039730213931921, + "grad_norm": 0.2655871510505676, + "learning_rate": 4.407253151678912e-06, + "loss": 0.5945, + "step": 1670 + }, + { + "epoch": 0.7043945621245653, + "grad_norm": 0.2663457989692688, + "learning_rate": 4.4065292265950025e-06, + "loss": 0.6147, + "step": 1671 + }, + { + "epoch": 0.7048161028559384, + "grad_norm": 0.2696913778781891, + "learning_rate": 4.405804919246525e-06, + "loss": 0.6132, + "step": 1672 + }, + { + "epoch": 0.7052376435873117, + "grad_norm": 0.2775292992591858, + "learning_rate": 4.405080229778705e-06, + "loss": 0.6162, + "step": 1673 + }, + { + "epoch": 0.7056591843186848, + "grad_norm": 0.2779128849506378, + "learning_rate": 4.404355158336847e-06, + "loss": 0.6332, + "step": 1674 + }, + { + "epoch": 0.7060807250500579, + "grad_norm": 0.28609174489974976, + "learning_rate": 4.403629705066328e-06, + "loss": 0.5831, + "step": 1675 + }, + { + "epoch": 0.7065022657814312, + "grad_norm": 0.28518691658973694, + "learning_rate": 4.402903870112603e-06, + "loss": 0.5973, + "step": 1676 + }, + { + "epoch": 0.7069238065128043, + "grad_norm": 0.2682948112487793, + "learning_rate": 4.4021776536212065e-06, + "loss": 0.5832, + "step": 1677 + }, + { + "epoch": 0.7073453472441774, + "grad_norm": 0.2743569016456604, + "learning_rate": 4.401451055737745e-06, + "loss": 0.6216, + "step": 1678 + }, + { + "epoch": 0.7077668879755507, + "grad_norm": 0.2641680836677551, + "learning_rate": 4.4007240766079026e-06, + "loss": 0.6088, + "step": 1679 + }, + { + "epoch": 0.7081884287069238, + "grad_norm": 0.2898157835006714, + "learning_rate": 4.399996716377442e-06, + "loss": 0.5973, + "step": 1680 + }, + { + "epoch": 0.708609969438297, + "grad_norm": 0.27880534529685974, + "learning_rate": 4.399268975192201e-06, + "loss": 0.624, + "step": 1681 + }, + { + "epoch": 0.7090315101696701, + "grad_norm": 0.2757487893104553, + "learning_rate": 4.398540853198094e-06, + "loss": 0.6265, + "step": 1682 + }, + { + "epoch": 0.7094530509010433, + "grad_norm": 0.26808667182922363, + "learning_rate": 4.3978123505411115e-06, + "loss": 0.5906, + "step": 1683 + }, + { + "epoch": 0.7098745916324165, + "grad_norm": 0.2868767976760864, + "learning_rate": 4.39708346736732e-06, + "loss": 0.6192, + "step": 1684 + }, + { + "epoch": 0.7102961323637896, + "grad_norm": 0.2838127017021179, + "learning_rate": 4.396354203822862e-06, + "loss": 0.5847, + "step": 1685 + }, + { + "epoch": 0.7107176730951629, + "grad_norm": 0.2981458902359009, + "learning_rate": 4.3956245600539594e-06, + "loss": 0.6143, + "step": 1686 + }, + { + "epoch": 0.711139213826536, + "grad_norm": 0.27322861552238464, + "learning_rate": 4.3948945362069045e-06, + "loss": 0.5792, + "step": 1687 + }, + { + "epoch": 0.7115607545579091, + "grad_norm": 0.2746187746524811, + "learning_rate": 4.394164132428071e-06, + "loss": 0.5881, + "step": 1688 + }, + { + "epoch": 0.7119822952892824, + "grad_norm": 0.279295414686203, + "learning_rate": 4.393433348863907e-06, + "loss": 0.6198, + "step": 1689 + }, + { + "epoch": 0.7124038360206555, + "grad_norm": 0.29463455080986023, + "learning_rate": 4.3927021856609365e-06, + "loss": 0.6194, + "step": 1690 + }, + { + "epoch": 0.7128253767520286, + "grad_norm": 0.28050824999809265, + "learning_rate": 4.3919706429657595e-06, + "loss": 0.6023, + "step": 1691 + }, + { + "epoch": 0.7132469174834019, + "grad_norm": 0.29703789949417114, + "learning_rate": 4.391238720925053e-06, + "loss": 0.6013, + "step": 1692 + }, + { + "epoch": 0.713668458214775, + "grad_norm": 0.2685180604457855, + "learning_rate": 4.390506419685569e-06, + "loss": 0.6258, + "step": 1693 + }, + { + "epoch": 0.7140899989461482, + "grad_norm": 0.27768176794052124, + "learning_rate": 4.389773739394137e-06, + "loss": 0.6099, + "step": 1694 + }, + { + "epoch": 0.7145115396775213, + "grad_norm": 0.28206533193588257, + "learning_rate": 4.389040680197659e-06, + "loss": 0.6266, + "step": 1695 + }, + { + "epoch": 0.7149330804088945, + "grad_norm": 0.28915563225746155, + "learning_rate": 4.3883072422431186e-06, + "loss": 0.6149, + "step": 1696 + }, + { + "epoch": 0.7153546211402677, + "grad_norm": 0.2777349650859833, + "learning_rate": 4.38757342567757e-06, + "loss": 0.6244, + "step": 1697 + }, + { + "epoch": 0.7157761618716408, + "grad_norm": 0.27584996819496155, + "learning_rate": 4.3868392306481465e-06, + "loss": 0.6029, + "step": 1698 + }, + { + "epoch": 0.716197702603014, + "grad_norm": 0.2841974198818207, + "learning_rate": 4.386104657302056e-06, + "loss": 0.6189, + "step": 1699 + }, + { + "epoch": 0.7166192433343872, + "grad_norm": 0.27435341477394104, + "learning_rate": 4.385369705786582e-06, + "loss": 0.6106, + "step": 1700 + }, + { + "epoch": 0.7170407840657603, + "grad_norm": 0.28609856963157654, + "learning_rate": 4.384634376249085e-06, + "loss": 0.598, + "step": 1701 + }, + { + "epoch": 0.7174623247971336, + "grad_norm": 0.2744964361190796, + "learning_rate": 4.383898668837001e-06, + "loss": 0.6086, + "step": 1702 + }, + { + "epoch": 0.7178838655285067, + "grad_norm": 0.28845101594924927, + "learning_rate": 4.383162583697842e-06, + "loss": 0.6018, + "step": 1703 + }, + { + "epoch": 0.7183054062598798, + "grad_norm": 0.27615106105804443, + "learning_rate": 4.382426120979193e-06, + "loss": 0.6421, + "step": 1704 + }, + { + "epoch": 0.7187269469912531, + "grad_norm": 0.28876346349716187, + "learning_rate": 4.381689280828718e-06, + "loss": 0.588, + "step": 1705 + }, + { + "epoch": 0.7191484877226262, + "grad_norm": 0.2773711383342743, + "learning_rate": 4.380952063394157e-06, + "loss": 0.5934, + "step": 1706 + }, + { + "epoch": 0.7195700284539994, + "grad_norm": 0.29457443952560425, + "learning_rate": 4.3802144688233215e-06, + "loss": 0.5994, + "step": 1707 + }, + { + "epoch": 0.7199915691853725, + "grad_norm": 0.27908065915107727, + "learning_rate": 4.379476497264104e-06, + "loss": 0.6314, + "step": 1708 + }, + { + "epoch": 0.7204131099167457, + "grad_norm": 0.2871860861778259, + "learning_rate": 4.3787381488644674e-06, + "loss": 0.6184, + "step": 1709 + }, + { + "epoch": 0.7208346506481189, + "grad_norm": 0.26911434531211853, + "learning_rate": 4.3779994237724555e-06, + "loss": 0.6107, + "step": 1710 + }, + { + "epoch": 0.721256191379492, + "grad_norm": 0.2794326841831207, + "learning_rate": 4.377260322136182e-06, + "loss": 0.6346, + "step": 1711 + }, + { + "epoch": 0.7216777321108652, + "grad_norm": 0.28446105122566223, + "learning_rate": 4.3765208441038405e-06, + "loss": 0.6251, + "step": 1712 + }, + { + "epoch": 0.7220992728422384, + "grad_norm": 0.2820131480693817, + "learning_rate": 4.375780989823698e-06, + "loss": 0.5968, + "step": 1713 + }, + { + "epoch": 0.7225208135736115, + "grad_norm": 0.27935776114463806, + "learning_rate": 4.375040759444097e-06, + "loss": 0.5975, + "step": 1714 + }, + { + "epoch": 0.7229423543049848, + "grad_norm": 0.27597203850746155, + "learning_rate": 4.374300153113457e-06, + "loss": 0.6069, + "step": 1715 + }, + { + "epoch": 0.7233638950363579, + "grad_norm": 0.2791931927204132, + "learning_rate": 4.373559170980271e-06, + "loss": 0.6049, + "step": 1716 + }, + { + "epoch": 0.723785435767731, + "grad_norm": 0.27633246779441833, + "learning_rate": 4.3728178131931074e-06, + "loss": 0.6054, + "step": 1717 + }, + { + "epoch": 0.7242069764991043, + "grad_norm": 0.28217223286628723, + "learning_rate": 4.372076079900611e-06, + "loss": 0.6028, + "step": 1718 + }, + { + "epoch": 0.7246285172304774, + "grad_norm": 0.2778562009334564, + "learning_rate": 4.371333971251502e-06, + "loss": 0.6262, + "step": 1719 + }, + { + "epoch": 0.7250500579618505, + "grad_norm": 0.2792932093143463, + "learning_rate": 4.370591487394576e-06, + "loss": 0.6153, + "step": 1720 + }, + { + "epoch": 0.7254715986932238, + "grad_norm": 0.27217432856559753, + "learning_rate": 4.369848628478701e-06, + "loss": 0.6194, + "step": 1721 + }, + { + "epoch": 0.7258931394245969, + "grad_norm": 0.28681138157844543, + "learning_rate": 4.369105394652824e-06, + "loss": 0.6196, + "step": 1722 + }, + { + "epoch": 0.7263146801559701, + "grad_norm": 0.2745744585990906, + "learning_rate": 4.368361786065964e-06, + "loss": 0.5945, + "step": 1723 + }, + { + "epoch": 0.7267362208873432, + "grad_norm": 0.2741144001483917, + "learning_rate": 4.367617802867218e-06, + "loss": 0.6027, + "step": 1724 + }, + { + "epoch": 0.7271577616187164, + "grad_norm": 0.2729848027229309, + "learning_rate": 4.366873445205757e-06, + "loss": 0.5874, + "step": 1725 + }, + { + "epoch": 0.7275793023500896, + "grad_norm": 0.2810051739215851, + "learning_rate": 4.366128713230825e-06, + "loss": 0.6091, + "step": 1726 + }, + { + "epoch": 0.7280008430814627, + "grad_norm": 0.2682962715625763, + "learning_rate": 4.365383607091745e-06, + "loss": 0.5964, + "step": 1727 + }, + { + "epoch": 0.7284223838128359, + "grad_norm": 0.27417638897895813, + "learning_rate": 4.364638126937911e-06, + "loss": 0.5947, + "step": 1728 + }, + { + "epoch": 0.7288439245442091, + "grad_norm": 0.2687387466430664, + "learning_rate": 4.363892272918796e-06, + "loss": 0.5869, + "step": 1729 + }, + { + "epoch": 0.7292654652755822, + "grad_norm": 0.2701239585876465, + "learning_rate": 4.363146045183943e-06, + "loss": 0.6246, + "step": 1730 + }, + { + "epoch": 0.7296870060069555, + "grad_norm": 0.2831512689590454, + "learning_rate": 4.3623994438829765e-06, + "loss": 0.6243, + "step": 1731 + }, + { + "epoch": 0.7301085467383286, + "grad_norm": 0.27394115924835205, + "learning_rate": 4.361652469165589e-06, + "loss": 0.6137, + "step": 1732 + }, + { + "epoch": 0.7305300874697017, + "grad_norm": 0.27634257078170776, + "learning_rate": 4.360905121181553e-06, + "loss": 0.6053, + "step": 1733 + }, + { + "epoch": 0.730951628201075, + "grad_norm": 0.2747725546360016, + "learning_rate": 4.360157400080714e-06, + "loss": 0.626, + "step": 1734 + }, + { + "epoch": 0.7313731689324481, + "grad_norm": 0.27450236678123474, + "learning_rate": 4.359409306012989e-06, + "loss": 0.5906, + "step": 1735 + }, + { + "epoch": 0.7317947096638213, + "grad_norm": 0.27480992674827576, + "learning_rate": 4.358660839128377e-06, + "loss": 0.5955, + "step": 1736 + }, + { + "epoch": 0.7322162503951944, + "grad_norm": 0.27613264322280884, + "learning_rate": 4.3579119995769466e-06, + "loss": 0.6362, + "step": 1737 + }, + { + "epoch": 0.7326377911265676, + "grad_norm": 0.2745966613292694, + "learning_rate": 4.357162787508842e-06, + "loss": 0.654, + "step": 1738 + }, + { + "epoch": 0.7330593318579408, + "grad_norm": 0.2735876441001892, + "learning_rate": 4.3564132030742815e-06, + "loss": 0.6222, + "step": 1739 + }, + { + "epoch": 0.7334808725893139, + "grad_norm": 0.27759552001953125, + "learning_rate": 4.355663246423559e-06, + "loss": 0.6053, + "step": 1740 + }, + { + "epoch": 0.7339024133206871, + "grad_norm": 0.2813555598258972, + "learning_rate": 4.354912917707044e-06, + "loss": 0.622, + "step": 1741 + }, + { + "epoch": 0.7343239540520603, + "grad_norm": 0.26837989687919617, + "learning_rate": 4.35416221707518e-06, + "loss": 0.5973, + "step": 1742 + }, + { + "epoch": 0.7347454947834334, + "grad_norm": 0.26664796471595764, + "learning_rate": 4.353411144678483e-06, + "loss": 0.5853, + "step": 1743 + }, + { + "epoch": 0.7351670355148067, + "grad_norm": 0.282762736082077, + "learning_rate": 4.3526597006675464e-06, + "loss": 0.6278, + "step": 1744 + }, + { + "epoch": 0.7355885762461798, + "grad_norm": 0.2791050672531128, + "learning_rate": 4.351907885193037e-06, + "loss": 0.6286, + "step": 1745 + }, + { + "epoch": 0.7360101169775529, + "grad_norm": 0.2787439823150635, + "learning_rate": 4.351155698405695e-06, + "loss": 0.6359, + "step": 1746 + }, + { + "epoch": 0.7364316577089262, + "grad_norm": 0.26782116293907166, + "learning_rate": 4.3504031404563355e-06, + "loss": 0.609, + "step": 1747 + }, + { + "epoch": 0.7368531984402993, + "grad_norm": 0.2759721279144287, + "learning_rate": 4.3496502114958505e-06, + "loss": 0.6048, + "step": 1748 + }, + { + "epoch": 0.7372747391716724, + "grad_norm": 0.2736058533191681, + "learning_rate": 4.3488969116752025e-06, + "loss": 0.6036, + "step": 1749 + }, + { + "epoch": 0.7376962799030456, + "grad_norm": 0.2725280523300171, + "learning_rate": 4.348143241145432e-06, + "loss": 0.6181, + "step": 1750 + }, + { + "epoch": 0.7381178206344188, + "grad_norm": 0.2820308208465576, + "learning_rate": 4.34738920005765e-06, + "loss": 0.6303, + "step": 1751 + }, + { + "epoch": 0.738539361365792, + "grad_norm": 0.2874038517475128, + "learning_rate": 4.346634788563045e-06, + "loss": 0.6375, + "step": 1752 + }, + { + "epoch": 0.7389609020971651, + "grad_norm": 0.2736482322216034, + "learning_rate": 4.3458800068128804e-06, + "loss": 0.5882, + "step": 1753 + }, + { + "epoch": 0.7393824428285383, + "grad_norm": 0.2805015742778778, + "learning_rate": 4.345124854958489e-06, + "loss": 0.5936, + "step": 1754 + }, + { + "epoch": 0.7398039835599115, + "grad_norm": 0.2744179666042328, + "learning_rate": 4.344369333151283e-06, + "loss": 0.6198, + "step": 1755 + }, + { + "epoch": 0.7402255242912846, + "grad_norm": 0.2678615152835846, + "learning_rate": 4.343613441542747e-06, + "loss": 0.5818, + "step": 1756 + }, + { + "epoch": 0.7406470650226579, + "grad_norm": 0.28406351804733276, + "learning_rate": 4.342857180284437e-06, + "loss": 0.5996, + "step": 1757 + }, + { + "epoch": 0.741068605754031, + "grad_norm": 0.2839788794517517, + "learning_rate": 4.3421005495279875e-06, + "loss": 0.5981, + "step": 1758 + }, + { + "epoch": 0.7414901464854041, + "grad_norm": 0.2863001227378845, + "learning_rate": 4.341343549425104e-06, + "loss": 0.614, + "step": 1759 + }, + { + "epoch": 0.7419116872167774, + "grad_norm": 0.26885831356048584, + "learning_rate": 4.34058618012757e-06, + "loss": 0.5978, + "step": 1760 + }, + { + "epoch": 0.7423332279481505, + "grad_norm": 0.2819503843784332, + "learning_rate": 4.339828441787236e-06, + "loss": 0.6105, + "step": 1761 + }, + { + "epoch": 0.7427547686795236, + "grad_norm": 0.27759721875190735, + "learning_rate": 4.339070334556033e-06, + "loss": 0.595, + "step": 1762 + }, + { + "epoch": 0.7431763094108969, + "grad_norm": 0.2791682481765747, + "learning_rate": 4.338311858585964e-06, + "loss": 0.6264, + "step": 1763 + }, + { + "epoch": 0.74359785014227, + "grad_norm": 0.27755993604660034, + "learning_rate": 4.337553014029105e-06, + "loss": 0.5891, + "step": 1764 + }, + { + "epoch": 0.7440193908736432, + "grad_norm": 0.2726767957210541, + "learning_rate": 4.336793801037606e-06, + "loss": 0.6021, + "step": 1765 + }, + { + "epoch": 0.7444409316050163, + "grad_norm": 0.26053258776664734, + "learning_rate": 4.336034219763693e-06, + "loss": 0.622, + "step": 1766 + }, + { + "epoch": 0.7448624723363895, + "grad_norm": 0.2840675115585327, + "learning_rate": 4.335274270359662e-06, + "loss": 0.6147, + "step": 1767 + }, + { + "epoch": 0.7452840130677627, + "grad_norm": 0.2740550935268402, + "learning_rate": 4.334513952977887e-06, + "loss": 0.6122, + "step": 1768 + }, + { + "epoch": 0.7457055537991358, + "grad_norm": 0.2909219563007355, + "learning_rate": 4.333753267770813e-06, + "loss": 0.6108, + "step": 1769 + }, + { + "epoch": 0.746127094530509, + "grad_norm": 0.2811336815357208, + "learning_rate": 4.332992214890959e-06, + "loss": 0.6112, + "step": 1770 + }, + { + "epoch": 0.7465486352618822, + "grad_norm": 0.28469184041023254, + "learning_rate": 4.3322307944909194e-06, + "loss": 0.5861, + "step": 1771 + }, + { + "epoch": 0.7469701759932553, + "grad_norm": 0.29819414019584656, + "learning_rate": 4.33146900672336e-06, + "loss": 0.5953, + "step": 1772 + }, + { + "epoch": 0.7473917167246286, + "grad_norm": 0.28422629833221436, + "learning_rate": 4.330706851741022e-06, + "loss": 0.6029, + "step": 1773 + }, + { + "epoch": 0.7478132574560017, + "grad_norm": 0.26283109188079834, + "learning_rate": 4.329944329696719e-06, + "loss": 0.615, + "step": 1774 + }, + { + "epoch": 0.7482347981873748, + "grad_norm": 0.27696385979652405, + "learning_rate": 4.329181440743341e-06, + "loss": 0.6079, + "step": 1775 + }, + { + "epoch": 0.748656338918748, + "grad_norm": 0.2810826897621155, + "learning_rate": 4.3284181850338484e-06, + "loss": 0.6352, + "step": 1776 + }, + { + "epoch": 0.7490778796501212, + "grad_norm": 0.3097665309906006, + "learning_rate": 4.327654562721274e-06, + "loss": 0.5866, + "step": 1777 + }, + { + "epoch": 0.7494994203814943, + "grad_norm": 0.27209892868995667, + "learning_rate": 4.326890573958729e-06, + "loss": 0.6078, + "step": 1778 + }, + { + "epoch": 0.7499209611128675, + "grad_norm": 0.28652647137641907, + "learning_rate": 4.326126218899395e-06, + "loss": 0.6124, + "step": 1779 + }, + { + "epoch": 0.7503425018442407, + "grad_norm": 0.2889411747455597, + "learning_rate": 4.325361497696525e-06, + "loss": 0.6165, + "step": 1780 + }, + { + "epoch": 0.7507640425756139, + "grad_norm": 0.28042012453079224, + "learning_rate": 4.32459641050345e-06, + "loss": 0.6102, + "step": 1781 + }, + { + "epoch": 0.751185583306987, + "grad_norm": 0.27746862173080444, + "learning_rate": 4.323830957473572e-06, + "loss": 0.6151, + "step": 1782 + }, + { + "epoch": 0.7516071240383602, + "grad_norm": 0.27821752429008484, + "learning_rate": 4.323065138760366e-06, + "loss": 0.6456, + "step": 1783 + }, + { + "epoch": 0.7520286647697334, + "grad_norm": 0.2764889895915985, + "learning_rate": 4.322298954517381e-06, + "loss": 0.6216, + "step": 1784 + }, + { + "epoch": 0.7524502055011065, + "grad_norm": 0.3045622706413269, + "learning_rate": 4.32153240489824e-06, + "loss": 0.6215, + "step": 1785 + }, + { + "epoch": 0.7528717462324798, + "grad_norm": 0.27773186564445496, + "learning_rate": 4.320765490056636e-06, + "loss": 0.6023, + "step": 1786 + }, + { + "epoch": 0.7532932869638529, + "grad_norm": 0.2807536721229553, + "learning_rate": 4.31999821014634e-06, + "loss": 0.6153, + "step": 1787 + }, + { + "epoch": 0.753714827695226, + "grad_norm": 0.2860603630542755, + "learning_rate": 4.319230565321193e-06, + "loss": 0.5811, + "step": 1788 + }, + { + "epoch": 0.7541363684265993, + "grad_norm": 0.2918761372566223, + "learning_rate": 4.31846255573511e-06, + "loss": 0.6347, + "step": 1789 + }, + { + "epoch": 0.7545579091579724, + "grad_norm": 0.27817055583000183, + "learning_rate": 4.317694181542079e-06, + "loss": 0.6141, + "step": 1790 + }, + { + "epoch": 0.7549794498893455, + "grad_norm": 0.29519447684288025, + "learning_rate": 4.316925442896162e-06, + "loss": 0.6077, + "step": 1791 + }, + { + "epoch": 0.7554009906207187, + "grad_norm": 0.26630932092666626, + "learning_rate": 4.316156339951492e-06, + "loss": 0.6275, + "step": 1792 + }, + { + "epoch": 0.7558225313520919, + "grad_norm": 0.2745026648044586, + "learning_rate": 4.315386872862276e-06, + "loss": 0.6112, + "step": 1793 + }, + { + "epoch": 0.7562440720834651, + "grad_norm": 0.2789205014705658, + "learning_rate": 4.314617041782796e-06, + "loss": 0.6196, + "step": 1794 + }, + { + "epoch": 0.7566656128148382, + "grad_norm": 0.28642550110816956, + "learning_rate": 4.313846846867406e-06, + "loss": 0.6191, + "step": 1795 + }, + { + "epoch": 0.7570871535462114, + "grad_norm": 0.2764802873134613, + "learning_rate": 4.313076288270529e-06, + "loss": 0.5964, + "step": 1796 + }, + { + "epoch": 0.7575086942775846, + "grad_norm": 0.28983137011528015, + "learning_rate": 4.312305366146667e-06, + "loss": 0.5838, + "step": 1797 + }, + { + "epoch": 0.7579302350089577, + "grad_norm": 0.2779114246368408, + "learning_rate": 4.31153408065039e-06, + "loss": 0.6009, + "step": 1798 + }, + { + "epoch": 0.7583517757403309, + "grad_norm": 0.294474333524704, + "learning_rate": 4.310762431936346e-06, + "loss": 0.599, + "step": 1799 + }, + { + "epoch": 0.7587733164717041, + "grad_norm": 0.27603766322135925, + "learning_rate": 4.3099904201592505e-06, + "loss": 0.6098, + "step": 1800 + }, + { + "epoch": 0.7591948572030772, + "grad_norm": 0.2785513699054718, + "learning_rate": 4.309218045473894e-06, + "loss": 0.614, + "step": 1801 + }, + { + "epoch": 0.7596163979344505, + "grad_norm": 0.2740197479724884, + "learning_rate": 4.308445308035141e-06, + "loss": 0.6025, + "step": 1802 + }, + { + "epoch": 0.7600379386658236, + "grad_norm": 0.30990973114967346, + "learning_rate": 4.307672207997926e-06, + "loss": 0.5914, + "step": 1803 + }, + { + "epoch": 0.7604594793971967, + "grad_norm": 0.28241434693336487, + "learning_rate": 4.3068987455172595e-06, + "loss": 0.6049, + "step": 1804 + }, + { + "epoch": 0.76088102012857, + "grad_norm": 0.30772578716278076, + "learning_rate": 4.306124920748221e-06, + "loss": 0.5808, + "step": 1805 + }, + { + "epoch": 0.7613025608599431, + "grad_norm": 0.291250616312027, + "learning_rate": 4.305350733845967e-06, + "loss": 0.6223, + "step": 1806 + }, + { + "epoch": 0.7617241015913163, + "grad_norm": 0.28212836384773254, + "learning_rate": 4.304576184965723e-06, + "loss": 0.6136, + "step": 1807 + }, + { + "epoch": 0.7621456423226894, + "grad_norm": 0.2886107861995697, + "learning_rate": 4.303801274262788e-06, + "loss": 0.6272, + "step": 1808 + }, + { + "epoch": 0.7625671830540626, + "grad_norm": 0.3118770718574524, + "learning_rate": 4.303026001892533e-06, + "loss": 0.628, + "step": 1809 + }, + { + "epoch": 0.7629887237854358, + "grad_norm": 0.2872169315814972, + "learning_rate": 4.302250368010405e-06, + "loss": 0.5963, + "step": 1810 + }, + { + "epoch": 0.7634102645168089, + "grad_norm": 0.29370740056037903, + "learning_rate": 4.301474372771917e-06, + "loss": 0.6119, + "step": 1811 + }, + { + "epoch": 0.7638318052481821, + "grad_norm": 0.3142782747745514, + "learning_rate": 4.300698016332662e-06, + "loss": 0.622, + "step": 1812 + }, + { + "epoch": 0.7642533459795553, + "grad_norm": 0.31696972250938416, + "learning_rate": 4.299921298848299e-06, + "loss": 0.6128, + "step": 1813 + }, + { + "epoch": 0.7646748867109284, + "grad_norm": 0.2781507670879364, + "learning_rate": 4.299144220474564e-06, + "loss": 0.6284, + "step": 1814 + }, + { + "epoch": 0.7650964274423017, + "grad_norm": 0.3658636212348938, + "learning_rate": 4.298366781367262e-06, + "loss": 0.5742, + "step": 1815 + }, + { + "epoch": 0.7655179681736748, + "grad_norm": 0.3189171552658081, + "learning_rate": 4.297588981682274e-06, + "loss": 0.5901, + "step": 1816 + }, + { + "epoch": 0.7659395089050479, + "grad_norm": 0.2833607494831085, + "learning_rate": 4.296810821575548e-06, + "loss": 0.6056, + "step": 1817 + }, + { + "epoch": 0.7663610496364212, + "grad_norm": 0.3028174638748169, + "learning_rate": 4.296032301203108e-06, + "loss": 0.6137, + "step": 1818 + }, + { + "epoch": 0.7667825903677943, + "grad_norm": 0.3240715563297272, + "learning_rate": 4.295253420721051e-06, + "loss": 0.6234, + "step": 1819 + }, + { + "epoch": 0.7672041310991674, + "grad_norm": 0.30187803506851196, + "learning_rate": 4.294474180285545e-06, + "loss": 0.6113, + "step": 1820 + }, + { + "epoch": 0.7676256718305406, + "grad_norm": 0.28072071075439453, + "learning_rate": 4.293694580052828e-06, + "loss": 0.6214, + "step": 1821 + }, + { + "epoch": 0.7680472125619138, + "grad_norm": 0.34691575169563293, + "learning_rate": 4.292914620179214e-06, + "loss": 0.6182, + "step": 1822 + }, + { + "epoch": 0.768468753293287, + "grad_norm": 0.30613550543785095, + "learning_rate": 4.292134300821086e-06, + "loss": 0.6091, + "step": 1823 + }, + { + "epoch": 0.7688902940246601, + "grad_norm": 0.2682267427444458, + "learning_rate": 4.291353622134901e-06, + "loss": 0.6126, + "step": 1824 + }, + { + "epoch": 0.7693118347560333, + "grad_norm": 0.2843674123287201, + "learning_rate": 4.290572584277185e-06, + "loss": 0.6114, + "step": 1825 + }, + { + "epoch": 0.7697333754874065, + "grad_norm": 0.2934292256832123, + "learning_rate": 4.2897911874045416e-06, + "loss": 0.6077, + "step": 1826 + }, + { + "epoch": 0.7701549162187796, + "grad_norm": 0.31129300594329834, + "learning_rate": 4.289009431673642e-06, + "loss": 0.6172, + "step": 1827 + }, + { + "epoch": 0.7705764569501528, + "grad_norm": 0.2624717652797699, + "learning_rate": 4.288227317241229e-06, + "loss": 0.6077, + "step": 1828 + }, + { + "epoch": 0.770997997681526, + "grad_norm": 0.3125290274620056, + "learning_rate": 4.287444844264121e-06, + "loss": 0.6274, + "step": 1829 + }, + { + "epoch": 0.7714195384128991, + "grad_norm": 0.3222668468952179, + "learning_rate": 4.286662012899206e-06, + "loss": 0.5822, + "step": 1830 + }, + { + "epoch": 0.7718410791442724, + "grad_norm": 0.2739278972148895, + "learning_rate": 4.285878823303441e-06, + "loss": 0.6115, + "step": 1831 + }, + { + "epoch": 0.7722626198756455, + "grad_norm": 0.2804218530654907, + "learning_rate": 4.285095275633861e-06, + "loss": 0.5799, + "step": 1832 + }, + { + "epoch": 0.7726841606070186, + "grad_norm": 0.28704482316970825, + "learning_rate": 4.284311370047567e-06, + "loss": 0.602, + "step": 1833 + }, + { + "epoch": 0.7731057013383918, + "grad_norm": 0.3058801591396332, + "learning_rate": 4.283527106701736e-06, + "loss": 0.6049, + "step": 1834 + }, + { + "epoch": 0.773527242069765, + "grad_norm": 0.2656762897968292, + "learning_rate": 4.282742485753615e-06, + "loss": 0.5868, + "step": 1835 + }, + { + "epoch": 0.7739487828011382, + "grad_norm": 0.30584681034088135, + "learning_rate": 4.281957507360523e-06, + "loss": 0.6005, + "step": 1836 + }, + { + "epoch": 0.7743703235325113, + "grad_norm": 0.27888980507850647, + "learning_rate": 4.281172171679848e-06, + "loss": 0.5838, + "step": 1837 + }, + { + "epoch": 0.7747918642638845, + "grad_norm": 0.2767752408981323, + "learning_rate": 4.280386478869055e-06, + "loss": 0.6067, + "step": 1838 + }, + { + "epoch": 0.7752134049952577, + "grad_norm": 0.2759985327720642, + "learning_rate": 4.279600429085676e-06, + "loss": 0.602, + "step": 1839 + }, + { + "epoch": 0.7756349457266308, + "grad_norm": 0.2769717276096344, + "learning_rate": 4.278814022487317e-06, + "loss": 0.612, + "step": 1840 + }, + { + "epoch": 0.776056486458004, + "grad_norm": 0.2806585729122162, + "learning_rate": 4.278027259231655e-06, + "loss": 0.6131, + "step": 1841 + }, + { + "epoch": 0.7764780271893772, + "grad_norm": 0.2769262194633484, + "learning_rate": 4.277240139476438e-06, + "loss": 0.6187, + "step": 1842 + }, + { + "epoch": 0.7768995679207503, + "grad_norm": 0.2785145044326782, + "learning_rate": 4.276452663379485e-06, + "loss": 0.5968, + "step": 1843 + }, + { + "epoch": 0.7773211086521236, + "grad_norm": 0.27963513135910034, + "learning_rate": 4.275664831098687e-06, + "loss": 0.6225, + "step": 1844 + }, + { + "epoch": 0.7777426493834967, + "grad_norm": 0.2933167815208435, + "learning_rate": 4.274876642792009e-06, + "loss": 0.597, + "step": 1845 + }, + { + "epoch": 0.7781641901148698, + "grad_norm": 0.2733224034309387, + "learning_rate": 4.274088098617481e-06, + "loss": 0.6133, + "step": 1846 + }, + { + "epoch": 0.778585730846243, + "grad_norm": 0.28585439920425415, + "learning_rate": 4.273299198733213e-06, + "loss": 0.5768, + "step": 1847 + }, + { + "epoch": 0.7790072715776162, + "grad_norm": 0.2819828987121582, + "learning_rate": 4.272509943297378e-06, + "loss": 0.6234, + "step": 1848 + }, + { + "epoch": 0.7794288123089893, + "grad_norm": 0.27826929092407227, + "learning_rate": 4.271720332468227e-06, + "loss": 0.6031, + "step": 1849 + }, + { + "epoch": 0.7798503530403625, + "grad_norm": 0.27371424436569214, + "learning_rate": 4.2709303664040765e-06, + "loss": 0.6148, + "step": 1850 + }, + { + "epoch": 0.7802718937717357, + "grad_norm": 0.28164538741111755, + "learning_rate": 4.270140045263318e-06, + "loss": 0.6033, + "step": 1851 + }, + { + "epoch": 0.7806934345031089, + "grad_norm": 0.26457610726356506, + "learning_rate": 4.269349369204414e-06, + "loss": 0.6011, + "step": 1852 + }, + { + "epoch": 0.781114975234482, + "grad_norm": 0.2710423171520233, + "learning_rate": 4.268558338385897e-06, + "loss": 0.6144, + "step": 1853 + }, + { + "epoch": 0.7815365159658552, + "grad_norm": 0.2840898334980011, + "learning_rate": 4.267766952966369e-06, + "loss": 0.6178, + "step": 1854 + }, + { + "epoch": 0.7819580566972284, + "grad_norm": 0.28516873717308044, + "learning_rate": 4.2669752131045075e-06, + "loss": 0.6187, + "step": 1855 + }, + { + "epoch": 0.7823795974286015, + "grad_norm": 0.27867427468299866, + "learning_rate": 4.266183118959057e-06, + "loss": 0.6023, + "step": 1856 + }, + { + "epoch": 0.7828011381599747, + "grad_norm": 0.2843732237815857, + "learning_rate": 4.265390670688836e-06, + "loss": 0.5775, + "step": 1857 + }, + { + "epoch": 0.7832226788913479, + "grad_norm": 0.2725246846675873, + "learning_rate": 4.2645978684527324e-06, + "loss": 0.6062, + "step": 1858 + }, + { + "epoch": 0.783644219622721, + "grad_norm": 0.2737867832183838, + "learning_rate": 4.263804712409704e-06, + "loss": 0.6143, + "step": 1859 + }, + { + "epoch": 0.7840657603540943, + "grad_norm": 0.2791579067707062, + "learning_rate": 4.263011202718782e-06, + "loss": 0.6044, + "step": 1860 + }, + { + "epoch": 0.7844873010854674, + "grad_norm": 0.28584977984428406, + "learning_rate": 4.262217339539066e-06, + "loss": 0.6097, + "step": 1861 + }, + { + "epoch": 0.7849088418168405, + "grad_norm": 0.2914561331272125, + "learning_rate": 4.2614231230297305e-06, + "loss": 0.6094, + "step": 1862 + }, + { + "epoch": 0.7853303825482137, + "grad_norm": 0.27307790517807007, + "learning_rate": 4.260628553350017e-06, + "loss": 0.6083, + "step": 1863 + }, + { + "epoch": 0.7857519232795869, + "grad_norm": 0.2828793525695801, + "learning_rate": 4.259833630659238e-06, + "loss": 0.5962, + "step": 1864 + }, + { + "epoch": 0.7861734640109601, + "grad_norm": 0.2726515829563141, + "learning_rate": 4.259038355116778e-06, + "loss": 0.6413, + "step": 1865 + }, + { + "epoch": 0.7865950047423332, + "grad_norm": 0.2797689735889435, + "learning_rate": 4.258242726882093e-06, + "loss": 0.62, + "step": 1866 + }, + { + "epoch": 0.7870165454737064, + "grad_norm": 0.2748602628707886, + "learning_rate": 4.257446746114707e-06, + "loss": 0.5977, + "step": 1867 + }, + { + "epoch": 0.7874380862050796, + "grad_norm": 0.28758981823921204, + "learning_rate": 4.256650412974218e-06, + "loss": 0.6291, + "step": 1868 + }, + { + "epoch": 0.7878596269364527, + "grad_norm": 0.27436304092407227, + "learning_rate": 4.255853727620293e-06, + "loss": 0.6068, + "step": 1869 + }, + { + "epoch": 0.7882811676678259, + "grad_norm": 0.2714298963546753, + "learning_rate": 4.255056690212669e-06, + "loss": 0.6064, + "step": 1870 + }, + { + "epoch": 0.7887027083991991, + "grad_norm": 0.27300503849983215, + "learning_rate": 4.254259300911155e-06, + "loss": 0.583, + "step": 1871 + }, + { + "epoch": 0.7891242491305722, + "grad_norm": 0.27161818742752075, + "learning_rate": 4.2534615598756305e-06, + "loss": 0.6282, + "step": 1872 + }, + { + "epoch": 0.7895457898619455, + "grad_norm": 0.26760098338127136, + "learning_rate": 4.2526634672660426e-06, + "loss": 0.5991, + "step": 1873 + }, + { + "epoch": 0.7899673305933186, + "grad_norm": 0.2806521952152252, + "learning_rate": 4.251865023242412e-06, + "loss": 0.6195, + "step": 1874 + }, + { + "epoch": 0.7903888713246917, + "grad_norm": 0.2772590219974518, + "learning_rate": 4.251066227964829e-06, + "loss": 0.622, + "step": 1875 + }, + { + "epoch": 0.790810412056065, + "grad_norm": 0.2802678048610687, + "learning_rate": 4.250267081593457e-06, + "loss": 0.6119, + "step": 1876 + }, + { + "epoch": 0.7912319527874381, + "grad_norm": 0.27274298667907715, + "learning_rate": 4.249467584288523e-06, + "loss": 0.6229, + "step": 1877 + }, + { + "epoch": 0.7916534935188112, + "grad_norm": 0.2765823304653168, + "learning_rate": 4.248667736210331e-06, + "loss": 0.6195, + "step": 1878 + }, + { + "epoch": 0.7920750342501844, + "grad_norm": 0.2746501863002777, + "learning_rate": 4.247867537519252e-06, + "loss": 0.6048, + "step": 1879 + }, + { + "epoch": 0.7924965749815576, + "grad_norm": 0.27662572264671326, + "learning_rate": 4.247066988375728e-06, + "loss": 0.6194, + "step": 1880 + }, + { + "epoch": 0.7929181157129308, + "grad_norm": 0.2744790017604828, + "learning_rate": 4.246266088940273e-06, + "loss": 0.6145, + "step": 1881 + }, + { + "epoch": 0.7933396564443039, + "grad_norm": 0.2794719636440277, + "learning_rate": 4.2454648393734664e-06, + "loss": 0.6312, + "step": 1882 + }, + { + "epoch": 0.7937611971756771, + "grad_norm": 0.28646135330200195, + "learning_rate": 4.244663239835964e-06, + "loss": 0.6086, + "step": 1883 + }, + { + "epoch": 0.7941827379070503, + "grad_norm": 0.27879732847213745, + "learning_rate": 4.243861290488488e-06, + "loss": 0.6111, + "step": 1884 + }, + { + "epoch": 0.7946042786384234, + "grad_norm": 0.2798142433166504, + "learning_rate": 4.2430589914918315e-06, + "loss": 0.605, + "step": 1885 + }, + { + "epoch": 0.7950258193697967, + "grad_norm": 0.2951052486896515, + "learning_rate": 4.242256343006857e-06, + "loss": 0.6209, + "step": 1886 + }, + { + "epoch": 0.7954473601011698, + "grad_norm": 0.26625362038612366, + "learning_rate": 4.241453345194499e-06, + "loss": 0.6067, + "step": 1887 + }, + { + "epoch": 0.7958689008325429, + "grad_norm": 0.27114495635032654, + "learning_rate": 4.2406499982157605e-06, + "loss": 0.6133, + "step": 1888 + }, + { + "epoch": 0.7962904415639162, + "grad_norm": 0.2642914652824402, + "learning_rate": 4.239846302231713e-06, + "loss": 0.6236, + "step": 1889 + }, + { + "epoch": 0.7967119822952893, + "grad_norm": 0.2724757790565491, + "learning_rate": 4.239042257403503e-06, + "loss": 0.6114, + "step": 1890 + }, + { + "epoch": 0.7971335230266624, + "grad_norm": 0.2783864438533783, + "learning_rate": 4.238237863892341e-06, + "loss": 0.611, + "step": 1891 + }, + { + "epoch": 0.7975550637580356, + "grad_norm": 0.27949777245521545, + "learning_rate": 4.237433121859512e-06, + "loss": 0.6417, + "step": 1892 + }, + { + "epoch": 0.7979766044894088, + "grad_norm": 0.2734021842479706, + "learning_rate": 4.236628031466369e-06, + "loss": 0.6233, + "step": 1893 + }, + { + "epoch": 0.798398145220782, + "grad_norm": 0.2807888388633728, + "learning_rate": 4.2358225928743345e-06, + "loss": 0.6237, + "step": 1894 + }, + { + "epoch": 0.7988196859521551, + "grad_norm": 0.29392918944358826, + "learning_rate": 4.2350168062449e-06, + "loss": 0.6087, + "step": 1895 + }, + { + "epoch": 0.7992412266835283, + "grad_norm": 0.27849727869033813, + "learning_rate": 4.23421067173963e-06, + "loss": 0.6134, + "step": 1896 + }, + { + "epoch": 0.7996627674149015, + "grad_norm": 0.2796291410923004, + "learning_rate": 4.233404189520157e-06, + "loss": 0.6204, + "step": 1897 + }, + { + "epoch": 0.8000843081462746, + "grad_norm": 0.2870771884918213, + "learning_rate": 4.232597359748181e-06, + "loss": 0.5965, + "step": 1898 + }, + { + "epoch": 0.8005058488776478, + "grad_norm": 0.277759313583374, + "learning_rate": 4.231790182585474e-06, + "loss": 0.6161, + "step": 1899 + }, + { + "epoch": 0.800927389609021, + "grad_norm": 0.2767733633518219, + "learning_rate": 4.230982658193879e-06, + "loss": 0.6029, + "step": 1900 + }, + { + "epoch": 0.8013489303403941, + "grad_norm": 0.2914954721927643, + "learning_rate": 4.230174786735306e-06, + "loss": 0.6172, + "step": 1901 + }, + { + "epoch": 0.8017704710717674, + "grad_norm": 0.27767834067344666, + "learning_rate": 4.229366568371735e-06, + "loss": 0.5865, + "step": 1902 + }, + { + "epoch": 0.8021920118031405, + "grad_norm": 0.27222493290901184, + "learning_rate": 4.228558003265217e-06, + "loss": 0.5893, + "step": 1903 + }, + { + "epoch": 0.8026135525345136, + "grad_norm": 0.273752361536026, + "learning_rate": 4.227749091577871e-06, + "loss": 0.6052, + "step": 1904 + }, + { + "epoch": 0.8030350932658868, + "grad_norm": 0.2827487885951996, + "learning_rate": 4.2269398334718855e-06, + "loss": 0.617, + "step": 1905 + }, + { + "epoch": 0.80345663399726, + "grad_norm": 0.27512606978416443, + "learning_rate": 4.226130229109522e-06, + "loss": 0.6044, + "step": 1906 + }, + { + "epoch": 0.8038781747286331, + "grad_norm": 0.28484004735946655, + "learning_rate": 4.225320278653105e-06, + "loss": 0.6148, + "step": 1907 + }, + { + "epoch": 0.8042997154600063, + "grad_norm": 0.28284281492233276, + "learning_rate": 4.224509982265032e-06, + "loss": 0.5991, + "step": 1908 + }, + { + "epoch": 0.8047212561913795, + "grad_norm": 0.2844797968864441, + "learning_rate": 4.223699340107773e-06, + "loss": 0.62, + "step": 1909 + }, + { + "epoch": 0.8051427969227527, + "grad_norm": 0.29437506198883057, + "learning_rate": 4.2228883523438614e-06, + "loss": 0.5912, + "step": 1910 + }, + { + "epoch": 0.8055643376541258, + "grad_norm": 0.2809103727340698, + "learning_rate": 4.222077019135904e-06, + "loss": 0.6136, + "step": 1911 + }, + { + "epoch": 0.805985878385499, + "grad_norm": 0.2818552255630493, + "learning_rate": 4.221265340646574e-06, + "loss": 0.6153, + "step": 1912 + }, + { + "epoch": 0.8064074191168722, + "grad_norm": 0.2797611951828003, + "learning_rate": 4.220453317038615e-06, + "loss": 0.5874, + "step": 1913 + }, + { + "epoch": 0.8068289598482453, + "grad_norm": 0.2917400896549225, + "learning_rate": 4.2196409484748425e-06, + "loss": 0.6314, + "step": 1914 + }, + { + "epoch": 0.8072505005796186, + "grad_norm": 0.27538177371025085, + "learning_rate": 4.218828235118137e-06, + "loss": 0.6155, + "step": 1915 + }, + { + "epoch": 0.8076720413109917, + "grad_norm": 0.2839571535587311, + "learning_rate": 4.21801517713145e-06, + "loss": 0.611, + "step": 1916 + }, + { + "epoch": 0.8080935820423648, + "grad_norm": 0.2872380316257477, + "learning_rate": 4.217201774677802e-06, + "loss": 0.5935, + "step": 1917 + }, + { + "epoch": 0.808515122773738, + "grad_norm": 0.27312177419662476, + "learning_rate": 4.216388027920282e-06, + "loss": 0.6241, + "step": 1918 + }, + { + "epoch": 0.8089366635051112, + "grad_norm": 0.28297922015190125, + "learning_rate": 4.21557393702205e-06, + "loss": 0.5935, + "step": 1919 + }, + { + "epoch": 0.8093582042364843, + "grad_norm": 0.2818053364753723, + "learning_rate": 4.214759502146331e-06, + "loss": 0.5713, + "step": 1920 + }, + { + "epoch": 0.8097797449678575, + "grad_norm": 0.29005730152130127, + "learning_rate": 4.213944723456425e-06, + "loss": 0.5647, + "step": 1921 + }, + { + "epoch": 0.8102012856992307, + "grad_norm": 0.283902108669281, + "learning_rate": 4.213129601115695e-06, + "loss": 0.5922, + "step": 1922 + }, + { + "epoch": 0.8106228264306039, + "grad_norm": 0.28247883915901184, + "learning_rate": 4.212314135287577e-06, + "loss": 0.5887, + "step": 1923 + }, + { + "epoch": 0.811044367161977, + "grad_norm": 0.2845180928707123, + "learning_rate": 4.211498326135571e-06, + "loss": 0.6055, + "step": 1924 + }, + { + "epoch": 0.8114659078933502, + "grad_norm": 0.28263020515441895, + "learning_rate": 4.210682173823253e-06, + "loss": 0.6054, + "step": 1925 + }, + { + "epoch": 0.8118874486247234, + "grad_norm": 0.2770913541316986, + "learning_rate": 4.209865678514262e-06, + "loss": 0.6232, + "step": 1926 + }, + { + "epoch": 0.8123089893560965, + "grad_norm": 0.30108752846717834, + "learning_rate": 4.209048840372307e-06, + "loss": 0.6072, + "step": 1927 + }, + { + "epoch": 0.8127305300874696, + "grad_norm": 0.26995745301246643, + "learning_rate": 4.208231659561167e-06, + "loss": 0.6127, + "step": 1928 + }, + { + "epoch": 0.8131520708188429, + "grad_norm": 0.28315192461013794, + "learning_rate": 4.207414136244691e-06, + "loss": 0.6352, + "step": 1929 + }, + { + "epoch": 0.813573611550216, + "grad_norm": 0.3060400187969208, + "learning_rate": 4.206596270586792e-06, + "loss": 0.6106, + "step": 1930 + }, + { + "epoch": 0.8139951522815893, + "grad_norm": 0.29358184337615967, + "learning_rate": 4.205778062751456e-06, + "loss": 0.6097, + "step": 1931 + }, + { + "epoch": 0.8144166930129624, + "grad_norm": 0.2807903289794922, + "learning_rate": 4.204959512902736e-06, + "loss": 0.5994, + "step": 1932 + }, + { + "epoch": 0.8148382337443355, + "grad_norm": 0.3359369933605194, + "learning_rate": 4.2041406212047516e-06, + "loss": 0.5951, + "step": 1933 + }, + { + "epoch": 0.8152597744757087, + "grad_norm": 0.27375471591949463, + "learning_rate": 4.203321387821695e-06, + "loss": 0.6111, + "step": 1934 + }, + { + "epoch": 0.8156813152070819, + "grad_norm": 0.2824607491493225, + "learning_rate": 4.202501812917824e-06, + "loss": 0.6155, + "step": 1935 + }, + { + "epoch": 0.8161028559384551, + "grad_norm": 0.33188438415527344, + "learning_rate": 4.2016818966574665e-06, + "loss": 0.5854, + "step": 1936 + }, + { + "epoch": 0.8165243966698282, + "grad_norm": 0.2901972532272339, + "learning_rate": 4.200861639205018e-06, + "loss": 0.6122, + "step": 1937 + }, + { + "epoch": 0.8169459374012014, + "grad_norm": 0.2772602438926697, + "learning_rate": 4.20004104072494e-06, + "loss": 0.6084, + "step": 1938 + }, + { + "epoch": 0.8173674781325746, + "grad_norm": 0.3018006980419159, + "learning_rate": 4.199220101381769e-06, + "loss": 0.6172, + "step": 1939 + }, + { + "epoch": 0.8177890188639477, + "grad_norm": 0.302866131067276, + "learning_rate": 4.1983988213401025e-06, + "loss": 0.5795, + "step": 1940 + }, + { + "epoch": 0.8182105595953209, + "grad_norm": 0.2862773537635803, + "learning_rate": 4.197577200764611e-06, + "loss": 0.6226, + "step": 1941 + }, + { + "epoch": 0.8186321003266941, + "grad_norm": 0.27157968282699585, + "learning_rate": 4.196755239820031e-06, + "loss": 0.5843, + "step": 1942 + }, + { + "epoch": 0.8190536410580672, + "grad_norm": 0.32020455598831177, + "learning_rate": 4.195932938671169e-06, + "loss": 0.5782, + "step": 1943 + }, + { + "epoch": 0.8194751817894405, + "grad_norm": 0.2892654836177826, + "learning_rate": 4.195110297482897e-06, + "loss": 0.5627, + "step": 1944 + }, + { + "epoch": 0.8198967225208136, + "grad_norm": 0.2753625810146332, + "learning_rate": 4.194287316420158e-06, + "loss": 0.6216, + "step": 1945 + }, + { + "epoch": 0.8203182632521867, + "grad_norm": 0.33662664890289307, + "learning_rate": 4.193463995647963e-06, + "loss": 0.6106, + "step": 1946 + }, + { + "epoch": 0.82073980398356, + "grad_norm": 0.2730756103992462, + "learning_rate": 4.192640335331388e-06, + "loss": 0.6125, + "step": 1947 + }, + { + "epoch": 0.8211613447149331, + "grad_norm": 0.28652599453926086, + "learning_rate": 4.191816335635581e-06, + "loss": 0.6094, + "step": 1948 + }, + { + "epoch": 0.8215828854463062, + "grad_norm": 0.3052879273891449, + "learning_rate": 4.190991996725756e-06, + "loss": 0.6199, + "step": 1949 + }, + { + "epoch": 0.8220044261776794, + "grad_norm": 0.30441632866859436, + "learning_rate": 4.190167318767195e-06, + "loss": 0.626, + "step": 1950 + }, + { + "epoch": 0.8224259669090526, + "grad_norm": 0.2776713967323303, + "learning_rate": 4.189342301925249e-06, + "loss": 0.5914, + "step": 1951 + }, + { + "epoch": 0.8228475076404258, + "grad_norm": 0.27965450286865234, + "learning_rate": 4.188516946365334e-06, + "loss": 0.6236, + "step": 1952 + }, + { + "epoch": 0.8232690483717989, + "grad_norm": 0.28747665882110596, + "learning_rate": 4.187691252252939e-06, + "loss": 0.5975, + "step": 1953 + }, + { + "epoch": 0.823690589103172, + "grad_norm": 0.2900429368019104, + "learning_rate": 4.186865219753616e-06, + "loss": 0.6085, + "step": 1954 + }, + { + "epoch": 0.8241121298345453, + "grad_norm": 0.26926830410957336, + "learning_rate": 4.1860388490329886e-06, + "loss": 0.5945, + "step": 1955 + }, + { + "epoch": 0.8245336705659184, + "grad_norm": 0.28972309827804565, + "learning_rate": 4.185212140256745e-06, + "loss": 0.5942, + "step": 1956 + }, + { + "epoch": 0.8249552112972915, + "grad_norm": 0.26291900873184204, + "learning_rate": 4.184385093590643e-06, + "loss": 0.6262, + "step": 1957 + }, + { + "epoch": 0.8253767520286648, + "grad_norm": 0.26619863510131836, + "learning_rate": 4.183557709200508e-06, + "loss": 0.5852, + "step": 1958 + }, + { + "epoch": 0.8257982927600379, + "grad_norm": 0.27881160378456116, + "learning_rate": 4.182729987252233e-06, + "loss": 0.6214, + "step": 1959 + }, + { + "epoch": 0.8262198334914111, + "grad_norm": 0.2759825587272644, + "learning_rate": 4.181901927911779e-06, + "loss": 0.6289, + "step": 1960 + }, + { + "epoch": 0.8266413742227843, + "grad_norm": 0.2735176384449005, + "learning_rate": 4.181073531345174e-06, + "loss": 0.6258, + "step": 1961 + }, + { + "epoch": 0.8270629149541574, + "grad_norm": 0.28626999258995056, + "learning_rate": 4.1802447977185135e-06, + "loss": 0.6037, + "step": 1962 + }, + { + "epoch": 0.8274844556855306, + "grad_norm": 0.273320734500885, + "learning_rate": 4.179415727197961e-06, + "loss": 0.6285, + "step": 1963 + }, + { + "epoch": 0.8279059964169038, + "grad_norm": 0.2882641851902008, + "learning_rate": 4.1785863199497485e-06, + "loss": 0.605, + "step": 1964 + }, + { + "epoch": 0.828327537148277, + "grad_norm": 0.2794593572616577, + "learning_rate": 4.177756576140173e-06, + "loss": 0.621, + "step": 1965 + }, + { + "epoch": 0.8287490778796501, + "grad_norm": 0.28361931443214417, + "learning_rate": 4.176926495935601e-06, + "loss": 0.6359, + "step": 1966 + }, + { + "epoch": 0.8291706186110233, + "grad_norm": 0.29417088627815247, + "learning_rate": 4.176096079502467e-06, + "loss": 0.6037, + "step": 1967 + }, + { + "epoch": 0.8295921593423965, + "grad_norm": 0.29032111167907715, + "learning_rate": 4.175265327007271e-06, + "loss": 0.5849, + "step": 1968 + }, + { + "epoch": 0.8300137000737696, + "grad_norm": 0.2781698703765869, + "learning_rate": 4.174434238616582e-06, + "loss": 0.6146, + "step": 1969 + }, + { + "epoch": 0.8304352408051427, + "grad_norm": 0.2866978645324707, + "learning_rate": 4.173602814497033e-06, + "loss": 0.6018, + "step": 1970 + }, + { + "epoch": 0.830856781536516, + "grad_norm": 0.2820422351360321, + "learning_rate": 4.172771054815331e-06, + "loss": 0.6047, + "step": 1971 + }, + { + "epoch": 0.8312783222678891, + "grad_norm": 0.28404533863067627, + "learning_rate": 4.171938959738243e-06, + "loss": 0.6003, + "step": 1972 + }, + { + "epoch": 0.8316998629992624, + "grad_norm": 0.2743147611618042, + "learning_rate": 4.171106529432608e-06, + "loss": 0.624, + "step": 1973 + }, + { + "epoch": 0.8321214037306355, + "grad_norm": 0.26434770226478577, + "learning_rate": 4.17027376406533e-06, + "loss": 0.6231, + "step": 1974 + }, + { + "epoch": 0.8325429444620086, + "grad_norm": 0.2709536552429199, + "learning_rate": 4.16944066380338e-06, + "loss": 0.5906, + "step": 1975 + }, + { + "epoch": 0.8329644851933818, + "grad_norm": 0.27898532152175903, + "learning_rate": 4.168607228813799e-06, + "loss": 0.5955, + "step": 1976 + }, + { + "epoch": 0.833386025924755, + "grad_norm": 0.27570927143096924, + "learning_rate": 4.167773459263693e-06, + "loss": 0.6344, + "step": 1977 + }, + { + "epoch": 0.8338075666561281, + "grad_norm": 0.2857637107372284, + "learning_rate": 4.166939355320232e-06, + "loss": 0.5819, + "step": 1978 + }, + { + "epoch": 0.8342291073875013, + "grad_norm": 0.2833573520183563, + "learning_rate": 4.166104917150661e-06, + "loss": 0.5874, + "step": 1979 + }, + { + "epoch": 0.8346506481188745, + "grad_norm": 0.2838643491268158, + "learning_rate": 4.165270144922283e-06, + "loss": 0.6121, + "step": 1980 + }, + { + "epoch": 0.8350721888502477, + "grad_norm": 0.28722503781318665, + "learning_rate": 4.1644350388024745e-06, + "loss": 0.619, + "step": 1981 + }, + { + "epoch": 0.8354937295816208, + "grad_norm": 0.27415475249290466, + "learning_rate": 4.163599598958676e-06, + "loss": 0.5907, + "step": 1982 + }, + { + "epoch": 0.835915270312994, + "grad_norm": 0.2793228030204773, + "learning_rate": 4.162763825558396e-06, + "loss": 0.635, + "step": 1983 + }, + { + "epoch": 0.8363368110443672, + "grad_norm": 0.2753475308418274, + "learning_rate": 4.161927718769209e-06, + "loss": 0.6237, + "step": 1984 + }, + { + "epoch": 0.8367583517757403, + "grad_norm": 0.2738324701786041, + "learning_rate": 4.1610912787587575e-06, + "loss": 0.6119, + "step": 1985 + }, + { + "epoch": 0.8371798925071136, + "grad_norm": 0.2788059711456299, + "learning_rate": 4.160254505694749e-06, + "loss": 0.6041, + "step": 1986 + }, + { + "epoch": 0.8376014332384867, + "grad_norm": 0.2716056704521179, + "learning_rate": 4.15941739974496e-06, + "loss": 0.6232, + "step": 1987 + }, + { + "epoch": 0.8380229739698598, + "grad_norm": 0.2745053470134735, + "learning_rate": 4.1585799610772315e-06, + "loss": 0.6226, + "step": 1988 + }, + { + "epoch": 0.838444514701233, + "grad_norm": 0.2858763635158539, + "learning_rate": 4.157742189859473e-06, + "loss": 0.5855, + "step": 1989 + }, + { + "epoch": 0.8388660554326062, + "grad_norm": 0.2706812024116516, + "learning_rate": 4.156904086259661e-06, + "loss": 0.6023, + "step": 1990 + }, + { + "epoch": 0.8392875961639793, + "grad_norm": 0.2723211348056793, + "learning_rate": 4.156065650445835e-06, + "loss": 0.6248, + "step": 1991 + }, + { + "epoch": 0.8397091368953525, + "grad_norm": 0.28066903352737427, + "learning_rate": 4.155226882586107e-06, + "loss": 0.6029, + "step": 1992 + }, + { + "epoch": 0.8401306776267257, + "grad_norm": 0.27876657247543335, + "learning_rate": 4.15438778284865e-06, + "loss": 0.6016, + "step": 1993 + }, + { + "epoch": 0.8405522183580989, + "grad_norm": 0.2750357985496521, + "learning_rate": 4.153548351401708e-06, + "loss": 0.6097, + "step": 1994 + }, + { + "epoch": 0.840973759089472, + "grad_norm": 0.27342572808265686, + "learning_rate": 4.152708588413587e-06, + "loss": 0.592, + "step": 1995 + }, + { + "epoch": 0.8413952998208452, + "grad_norm": 0.27430519461631775, + "learning_rate": 4.151868494052663e-06, + "loss": 0.6127, + "step": 1996 + }, + { + "epoch": 0.8418168405522184, + "grad_norm": 0.2829979658126831, + "learning_rate": 4.151028068487378e-06, + "loss": 0.6187, + "step": 1997 + }, + { + "epoch": 0.8422383812835915, + "grad_norm": 0.28300151228904724, + "learning_rate": 4.150187311886238e-06, + "loss": 0.6044, + "step": 1998 + }, + { + "epoch": 0.8426599220149646, + "grad_norm": 0.2855989336967468, + "learning_rate": 4.149346224417819e-06, + "loss": 0.6189, + "step": 1999 + }, + { + "epoch": 0.8430814627463379, + "grad_norm": 0.294101744890213, + "learning_rate": 4.148504806250761e-06, + "loss": 0.6041, + "step": 2000 + }, + { + "epoch": 0.843503003477711, + "grad_norm": 0.2791568636894226, + "learning_rate": 4.147663057553769e-06, + "loss": 0.5911, + "step": 2001 + }, + { + "epoch": 0.8439245442090842, + "grad_norm": 0.2881386876106262, + "learning_rate": 4.146820978495619e-06, + "loss": 0.6099, + "step": 2002 + }, + { + "epoch": 0.8443460849404574, + "grad_norm": 0.3120289742946625, + "learning_rate": 4.145978569245148e-06, + "loss": 0.6001, + "step": 2003 + }, + { + "epoch": 0.8447676256718305, + "grad_norm": 0.2827363610267639, + "learning_rate": 4.145135829971262e-06, + "loss": 0.6054, + "step": 2004 + }, + { + "epoch": 0.8451891664032037, + "grad_norm": 0.27895763516426086, + "learning_rate": 4.144292760842932e-06, + "loss": 0.6192, + "step": 2005 + }, + { + "epoch": 0.8456107071345769, + "grad_norm": 0.2944113612174988, + "learning_rate": 4.143449362029198e-06, + "loss": 0.6098, + "step": 2006 + }, + { + "epoch": 0.84603224786595, + "grad_norm": 0.285103440284729, + "learning_rate": 4.142605633699162e-06, + "loss": 0.5932, + "step": 2007 + }, + { + "epoch": 0.8464537885973232, + "grad_norm": 0.2834998667240143, + "learning_rate": 4.1417615760219935e-06, + "loss": 0.6112, + "step": 2008 + }, + { + "epoch": 0.8468753293286964, + "grad_norm": 0.2918637990951538, + "learning_rate": 4.14091718916693e-06, + "loss": 0.6099, + "step": 2009 + }, + { + "epoch": 0.8472968700600696, + "grad_norm": 0.2774882912635803, + "learning_rate": 4.1400724733032725e-06, + "loss": 0.6121, + "step": 2010 + }, + { + "epoch": 0.8477184107914427, + "grad_norm": 0.2920991778373718, + "learning_rate": 4.13922742860039e-06, + "loss": 0.6247, + "step": 2011 + }, + { + "epoch": 0.8481399515228158, + "grad_norm": 0.29502829909324646, + "learning_rate": 4.138382055227715e-06, + "loss": 0.5536, + "step": 2012 + }, + { + "epoch": 0.8485614922541891, + "grad_norm": 0.2787350118160248, + "learning_rate": 4.137536353354748e-06, + "loss": 0.6079, + "step": 2013 + }, + { + "epoch": 0.8489830329855622, + "grad_norm": 0.2818499207496643, + "learning_rate": 4.136690323151055e-06, + "loss": 0.6054, + "step": 2014 + }, + { + "epoch": 0.8494045737169355, + "grad_norm": 0.2817799150943756, + "learning_rate": 4.135843964786267e-06, + "loss": 0.6166, + "step": 2015 + }, + { + "epoch": 0.8498261144483086, + "grad_norm": 0.28017786145210266, + "learning_rate": 4.134997278430081e-06, + "loss": 0.6161, + "step": 2016 + }, + { + "epoch": 0.8502476551796817, + "grad_norm": 0.2978954613208771, + "learning_rate": 4.13415026425226e-06, + "loss": 0.597, + "step": 2017 + }, + { + "epoch": 0.8506691959110549, + "grad_norm": 0.2903663218021393, + "learning_rate": 4.133302922422633e-06, + "loss": 0.6178, + "step": 2018 + }, + { + "epoch": 0.8510907366424281, + "grad_norm": 0.2889491617679596, + "learning_rate": 4.132455253111096e-06, + "loss": 0.6028, + "step": 2019 + }, + { + "epoch": 0.8515122773738012, + "grad_norm": 0.2871458828449249, + "learning_rate": 4.131607256487607e-06, + "loss": 0.5936, + "step": 2020 + }, + { + "epoch": 0.8519338181051744, + "grad_norm": 0.29041045904159546, + "learning_rate": 4.130758932722192e-06, + "loss": 0.6211, + "step": 2021 + }, + { + "epoch": 0.8523553588365476, + "grad_norm": 0.2993323504924774, + "learning_rate": 4.129910281984944e-06, + "loss": 0.6045, + "step": 2022 + }, + { + "epoch": 0.8527768995679208, + "grad_norm": 0.2895345687866211, + "learning_rate": 4.129061304446017e-06, + "loss": 0.6036, + "step": 2023 + }, + { + "epoch": 0.8531984402992939, + "grad_norm": 0.27798959612846375, + "learning_rate": 4.128212000275636e-06, + "loss": 0.5955, + "step": 2024 + }, + { + "epoch": 0.853619981030667, + "grad_norm": 0.2896115481853485, + "learning_rate": 4.127362369644089e-06, + "loss": 0.6151, + "step": 2025 + }, + { + "epoch": 0.8540415217620403, + "grad_norm": 0.2754329442977905, + "learning_rate": 4.126512412721727e-06, + "loss": 0.6007, + "step": 2026 + }, + { + "epoch": 0.8544630624934134, + "grad_norm": 0.2852628231048584, + "learning_rate": 4.125662129678971e-06, + "loss": 0.6061, + "step": 2027 + }, + { + "epoch": 0.8548846032247865, + "grad_norm": 0.2820385694503784, + "learning_rate": 4.1248115206863035e-06, + "loss": 0.6003, + "step": 2028 + }, + { + "epoch": 0.8553061439561598, + "grad_norm": 0.298114538192749, + "learning_rate": 4.123960585914276e-06, + "loss": 0.6213, + "step": 2029 + }, + { + "epoch": 0.8557276846875329, + "grad_norm": 0.2903365194797516, + "learning_rate": 4.123109325533502e-06, + "loss": 0.6313, + "step": 2030 + }, + { + "epoch": 0.8561492254189061, + "grad_norm": 0.2795485556125641, + "learning_rate": 4.1222577397146625e-06, + "loss": 0.5913, + "step": 2031 + }, + { + "epoch": 0.8565707661502793, + "grad_norm": 0.279148668050766, + "learning_rate": 4.121405828628501e-06, + "loss": 0.607, + "step": 2032 + }, + { + "epoch": 0.8569923068816524, + "grad_norm": 0.27291420102119446, + "learning_rate": 4.120553592445831e-06, + "loss": 0.6152, + "step": 2033 + }, + { + "epoch": 0.8574138476130256, + "grad_norm": 0.2836747169494629, + "learning_rate": 4.119701031337526e-06, + "loss": 0.6189, + "step": 2034 + }, + { + "epoch": 0.8578353883443988, + "grad_norm": 0.27607133984565735, + "learning_rate": 4.118848145474528e-06, + "loss": 0.6143, + "step": 2035 + }, + { + "epoch": 0.858256929075772, + "grad_norm": 0.2850489914417267, + "learning_rate": 4.117994935027842e-06, + "loss": 0.6025, + "step": 2036 + }, + { + "epoch": 0.8586784698071451, + "grad_norm": 0.2796688377857208, + "learning_rate": 4.11714140016854e-06, + "loss": 0.6299, + "step": 2037 + }, + { + "epoch": 0.8591000105385183, + "grad_norm": 0.2783965766429901, + "learning_rate": 4.116287541067759e-06, + "loss": 0.623, + "step": 2038 + }, + { + "epoch": 0.8595215512698915, + "grad_norm": 0.26927781105041504, + "learning_rate": 4.115433357896699e-06, + "loss": 0.6057, + "step": 2039 + }, + { + "epoch": 0.8599430920012646, + "grad_norm": 0.2853672206401825, + "learning_rate": 4.114578850826625e-06, + "loss": 0.5987, + "step": 2040 + }, + { + "epoch": 0.8603646327326377, + "grad_norm": 0.27144283056259155, + "learning_rate": 4.1137240200288715e-06, + "loss": 0.6373, + "step": 2041 + }, + { + "epoch": 0.860786173464011, + "grad_norm": 0.28986623883247375, + "learning_rate": 4.112868865674832e-06, + "loss": 0.6201, + "step": 2042 + }, + { + "epoch": 0.8612077141953841, + "grad_norm": 0.27960702776908875, + "learning_rate": 4.112013387935967e-06, + "loss": 0.6033, + "step": 2043 + }, + { + "epoch": 0.8616292549267573, + "grad_norm": 0.2714480757713318, + "learning_rate": 4.111157586983804e-06, + "loss": 0.6073, + "step": 2044 + }, + { + "epoch": 0.8620507956581305, + "grad_norm": 0.2804807722568512, + "learning_rate": 4.110301462989933e-06, + "loss": 0.6023, + "step": 2045 + }, + { + "epoch": 0.8624723363895036, + "grad_norm": 0.28676900267601013, + "learning_rate": 4.1094450161260095e-06, + "loss": 0.6373, + "step": 2046 + }, + { + "epoch": 0.8628938771208768, + "grad_norm": 0.2765231430530548, + "learning_rate": 4.108588246563752e-06, + "loss": 0.6094, + "step": 2047 + }, + { + "epoch": 0.86331541785225, + "grad_norm": 0.27119365334510803, + "learning_rate": 4.107731154474946e-06, + "loss": 0.5949, + "step": 2048 + }, + { + "epoch": 0.8637369585836231, + "grad_norm": 0.28397083282470703, + "learning_rate": 4.106873740031442e-06, + "loss": 0.6089, + "step": 2049 + }, + { + "epoch": 0.8641584993149963, + "grad_norm": 0.2776951193809509, + "learning_rate": 4.1060160034051535e-06, + "loss": 0.6175, + "step": 2050 + }, + { + "epoch": 0.8645800400463695, + "grad_norm": 0.2785867750644684, + "learning_rate": 4.105157944768059e-06, + "loss": 0.5928, + "step": 2051 + }, + { + "epoch": 0.8650015807777427, + "grad_norm": 0.278852641582489, + "learning_rate": 4.104299564292201e-06, + "loss": 0.6116, + "step": 2052 + }, + { + "epoch": 0.8654231215091158, + "grad_norm": 0.30016806721687317, + "learning_rate": 4.103440862149689e-06, + "loss": 0.6372, + "step": 2053 + }, + { + "epoch": 0.865844662240489, + "grad_norm": 0.26678794622421265, + "learning_rate": 4.102581838512694e-06, + "loss": 0.5757, + "step": 2054 + }, + { + "epoch": 0.8662662029718622, + "grad_norm": 0.341045081615448, + "learning_rate": 4.101722493553452e-06, + "loss": 0.6175, + "step": 2055 + }, + { + "epoch": 0.8666877437032353, + "grad_norm": 0.30285635590553284, + "learning_rate": 4.100862827444266e-06, + "loss": 0.6304, + "step": 2056 + }, + { + "epoch": 0.8671092844346084, + "grad_norm": 0.2856931984424591, + "learning_rate": 4.100002840357499e-06, + "loss": 0.6074, + "step": 2057 + }, + { + "epoch": 0.8675308251659817, + "grad_norm": 0.27615147829055786, + "learning_rate": 4.0991425324655835e-06, + "loss": 0.6198, + "step": 2058 + }, + { + "epoch": 0.8679523658973548, + "grad_norm": 0.27827200293540955, + "learning_rate": 4.098281903941012e-06, + "loss": 0.5936, + "step": 2059 + }, + { + "epoch": 0.868373906628728, + "grad_norm": 0.2723389267921448, + "learning_rate": 4.097420954956345e-06, + "loss": 0.593, + "step": 2060 + }, + { + "epoch": 0.8687954473601012, + "grad_norm": 0.28361982107162476, + "learning_rate": 4.096559685684203e-06, + "loss": 0.5853, + "step": 2061 + }, + { + "epoch": 0.8692169880914743, + "grad_norm": 0.28583288192749023, + "learning_rate": 4.095698096297273e-06, + "loss": 0.5833, + "step": 2062 + }, + { + "epoch": 0.8696385288228475, + "grad_norm": 0.27001211047172546, + "learning_rate": 4.094836186968308e-06, + "loss": 0.5809, + "step": 2063 + }, + { + "epoch": 0.8700600695542207, + "grad_norm": 0.283908873796463, + "learning_rate": 4.093973957870121e-06, + "loss": 0.5933, + "step": 2064 + }, + { + "epoch": 0.8704816102855939, + "grad_norm": 0.2776426076889038, + "learning_rate": 4.093111409175593e-06, + "loss": 0.5974, + "step": 2065 + }, + { + "epoch": 0.870903151016967, + "grad_norm": 0.3008350133895874, + "learning_rate": 4.092248541057667e-06, + "loss": 0.6128, + "step": 2066 + }, + { + "epoch": 0.8713246917483402, + "grad_norm": 0.2751711905002594, + "learning_rate": 4.091385353689351e-06, + "loss": 0.5836, + "step": 2067 + }, + { + "epoch": 0.8717462324797134, + "grad_norm": 0.27652910351753235, + "learning_rate": 4.090521847243716e-06, + "loss": 0.6078, + "step": 2068 + }, + { + "epoch": 0.8721677732110865, + "grad_norm": 0.2825339138507843, + "learning_rate": 4.089658021893898e-06, + "loss": 0.628, + "step": 2069 + }, + { + "epoch": 0.8725893139424596, + "grad_norm": 0.27583521604537964, + "learning_rate": 4.088793877813095e-06, + "loss": 0.6123, + "step": 2070 + }, + { + "epoch": 0.8730108546738329, + "grad_norm": 0.28151851892471313, + "learning_rate": 4.087929415174572e-06, + "loss": 0.6286, + "step": 2071 + }, + { + "epoch": 0.873432395405206, + "grad_norm": 0.2782251536846161, + "learning_rate": 4.087064634151657e-06, + "loss": 0.6048, + "step": 2072 + }, + { + "epoch": 0.8738539361365792, + "grad_norm": 0.27317818999290466, + "learning_rate": 4.0861995349177375e-06, + "loss": 0.597, + "step": 2073 + }, + { + "epoch": 0.8742754768679524, + "grad_norm": 0.2704969346523285, + "learning_rate": 4.085334117646272e-06, + "loss": 0.622, + "step": 2074 + }, + { + "epoch": 0.8746970175993255, + "grad_norm": 0.28758692741394043, + "learning_rate": 4.084468382510777e-06, + "loss": 0.5941, + "step": 2075 + }, + { + "epoch": 0.8751185583306987, + "grad_norm": 0.2900252938270569, + "learning_rate": 4.083602329684836e-06, + "loss": 0.6328, + "step": 2076 + }, + { + "epoch": 0.8755400990620719, + "grad_norm": 0.2709287106990814, + "learning_rate": 4.082735959342094e-06, + "loss": 0.6142, + "step": 2077 + }, + { + "epoch": 0.875961639793445, + "grad_norm": 0.28346288204193115, + "learning_rate": 4.081869271656263e-06, + "loss": 0.6258, + "step": 2078 + }, + { + "epoch": 0.8763831805248182, + "grad_norm": 0.2880302369594574, + "learning_rate": 4.081002266801114e-06, + "loss": 0.5716, + "step": 2079 + }, + { + "epoch": 0.8768047212561914, + "grad_norm": 0.2749912142753601, + "learning_rate": 4.080134944950485e-06, + "loss": 0.5979, + "step": 2080 + }, + { + "epoch": 0.8772262619875646, + "grad_norm": 0.29808875918388367, + "learning_rate": 4.079267306278276e-06, + "loss": 0.5893, + "step": 2081 + }, + { + "epoch": 0.8776478027189377, + "grad_norm": 0.2836261987686157, + "learning_rate": 4.078399350958452e-06, + "loss": 0.6049, + "step": 2082 + }, + { + "epoch": 0.8780693434503108, + "grad_norm": 0.27648887038230896, + "learning_rate": 4.077531079165039e-06, + "loss": 0.5956, + "step": 2083 + }, + { + "epoch": 0.8784908841816841, + "grad_norm": 0.2816130518913269, + "learning_rate": 4.076662491072129e-06, + "loss": 0.6191, + "step": 2084 + }, + { + "epoch": 0.8789124249130572, + "grad_norm": 0.2897788882255554, + "learning_rate": 4.075793586853876e-06, + "loss": 0.5803, + "step": 2085 + }, + { + "epoch": 0.8793339656444303, + "grad_norm": 0.2893310487270355, + "learning_rate": 4.0749243666844986e-06, + "loss": 0.6012, + "step": 2086 + }, + { + "epoch": 0.8797555063758036, + "grad_norm": 0.29058441519737244, + "learning_rate": 4.074054830738277e-06, + "loss": 0.6248, + "step": 2087 + }, + { + "epoch": 0.8801770471071767, + "grad_norm": 0.297395795583725, + "learning_rate": 4.073184979189556e-06, + "loss": 0.5923, + "step": 2088 + }, + { + "epoch": 0.8805985878385499, + "grad_norm": 0.2873823344707489, + "learning_rate": 4.072314812212744e-06, + "loss": 0.6042, + "step": 2089 + }, + { + "epoch": 0.8810201285699231, + "grad_norm": 0.293666809797287, + "learning_rate": 4.07144432998231e-06, + "loss": 0.6173, + "step": 2090 + }, + { + "epoch": 0.8814416693012962, + "grad_norm": 0.28066980838775635, + "learning_rate": 4.07057353267279e-06, + "loss": 0.5898, + "step": 2091 + }, + { + "epoch": 0.8818632100326694, + "grad_norm": 0.28104695677757263, + "learning_rate": 4.069702420458781e-06, + "loss": 0.5983, + "step": 2092 + }, + { + "epoch": 0.8822847507640426, + "grad_norm": 0.2850969433784485, + "learning_rate": 4.0688309935149435e-06, + "loss": 0.5849, + "step": 2093 + }, + { + "epoch": 0.8827062914954158, + "grad_norm": 0.2807822823524475, + "learning_rate": 4.067959252016e-06, + "loss": 0.6008, + "step": 2094 + }, + { + "epoch": 0.8831278322267889, + "grad_norm": 0.28492605686187744, + "learning_rate": 4.06708719613674e-06, + "loss": 0.5981, + "step": 2095 + }, + { + "epoch": 0.883549372958162, + "grad_norm": 0.28317704796791077, + "learning_rate": 4.066214826052009e-06, + "loss": 0.5959, + "step": 2096 + }, + { + "epoch": 0.8839709136895353, + "grad_norm": 0.28549128770828247, + "learning_rate": 4.065342141936724e-06, + "loss": 0.613, + "step": 2097 + }, + { + "epoch": 0.8843924544209084, + "grad_norm": 0.2889178991317749, + "learning_rate": 4.064469143965857e-06, + "loss": 0.6036, + "step": 2098 + }, + { + "epoch": 0.8848139951522815, + "grad_norm": 0.30202168226242065, + "learning_rate": 4.063595832314449e-06, + "loss": 0.5883, + "step": 2099 + }, + { + "epoch": 0.8852355358836548, + "grad_norm": 0.29604771733283997, + "learning_rate": 4.0627222071576e-06, + "loss": 0.5909, + "step": 2100 + }, + { + "epoch": 0.8856570766150279, + "grad_norm": 0.277469664812088, + "learning_rate": 4.061848268670475e-06, + "loss": 0.5871, + "step": 2101 + }, + { + "epoch": 0.8860786173464011, + "grad_norm": 0.31157124042510986, + "learning_rate": 4.060974017028303e-06, + "loss": 0.6118, + "step": 2102 + }, + { + "epoch": 0.8865001580777743, + "grad_norm": 0.2846732437610626, + "learning_rate": 4.0600994524063704e-06, + "loss": 0.6098, + "step": 2103 + }, + { + "epoch": 0.8869216988091474, + "grad_norm": 0.28533172607421875, + "learning_rate": 4.059224574980033e-06, + "loss": 0.6356, + "step": 2104 + }, + { + "epoch": 0.8873432395405206, + "grad_norm": 0.29689931869506836, + "learning_rate": 4.0583493849247035e-06, + "loss": 0.6021, + "step": 2105 + }, + { + "epoch": 0.8877647802718938, + "grad_norm": 0.28279995918273926, + "learning_rate": 4.057473882415862e-06, + "loss": 0.6133, + "step": 2106 + }, + { + "epoch": 0.8881863210032669, + "grad_norm": 0.2909523844718933, + "learning_rate": 4.056598067629048e-06, + "loss": 0.6006, + "step": 2107 + }, + { + "epoch": 0.8886078617346401, + "grad_norm": 0.2784798741340637, + "learning_rate": 4.055721940739867e-06, + "loss": 0.5653, + "step": 2108 + }, + { + "epoch": 0.8890294024660133, + "grad_norm": 0.2829459309577942, + "learning_rate": 4.054845501923983e-06, + "loss": 0.6157, + "step": 2109 + }, + { + "epoch": 0.8894509431973865, + "grad_norm": 0.28051742911338806, + "learning_rate": 4.053968751357125e-06, + "loss": 0.6012, + "step": 2110 + }, + { + "epoch": 0.8898724839287596, + "grad_norm": 0.2818240821361542, + "learning_rate": 4.053091689215084e-06, + "loss": 0.6132, + "step": 2111 + }, + { + "epoch": 0.8902940246601327, + "grad_norm": 0.28318852186203003, + "learning_rate": 4.0522143156737125e-06, + "loss": 0.5706, + "step": 2112 + }, + { + "epoch": 0.890715565391506, + "grad_norm": 0.2676553726196289, + "learning_rate": 4.051336630908929e-06, + "loss": 0.6234, + "step": 2113 + }, + { + "epoch": 0.8911371061228791, + "grad_norm": 0.2781136929988861, + "learning_rate": 4.050458635096709e-06, + "loss": 0.5785, + "step": 2114 + }, + { + "epoch": 0.8915586468542523, + "grad_norm": 0.2733917236328125, + "learning_rate": 4.0495803284130945e-06, + "loss": 0.6194, + "step": 2115 + }, + { + "epoch": 0.8919801875856255, + "grad_norm": 0.27440735697746277, + "learning_rate": 4.048701711034189e-06, + "loss": 0.6064, + "step": 2116 + }, + { + "epoch": 0.8924017283169986, + "grad_norm": 0.2773163318634033, + "learning_rate": 4.047822783136156e-06, + "loss": 0.6064, + "step": 2117 + }, + { + "epoch": 0.8928232690483718, + "grad_norm": 0.26787060499191284, + "learning_rate": 4.0469435448952255e-06, + "loss": 0.5858, + "step": 2118 + }, + { + "epoch": 0.893244809779745, + "grad_norm": 0.28501734137535095, + "learning_rate": 4.0460639964876855e-06, + "loss": 0.6108, + "step": 2119 + }, + { + "epoch": 0.8936663505111181, + "grad_norm": 0.2865848243236542, + "learning_rate": 4.0451841380898885e-06, + "loss": 0.6145, + "step": 2120 + }, + { + "epoch": 0.8940878912424913, + "grad_norm": 0.2869279980659485, + "learning_rate": 4.0443039698782485e-06, + "loss": 0.6076, + "step": 2121 + }, + { + "epoch": 0.8945094319738645, + "grad_norm": 0.2846921384334564, + "learning_rate": 4.0434234920292415e-06, + "loss": 0.5921, + "step": 2122 + }, + { + "epoch": 0.8949309727052377, + "grad_norm": 0.2824147045612335, + "learning_rate": 4.042542704719407e-06, + "loss": 0.5961, + "step": 2123 + }, + { + "epoch": 0.8953525134366108, + "grad_norm": 0.28017786145210266, + "learning_rate": 4.041661608125344e-06, + "loss": 0.5939, + "step": 2124 + }, + { + "epoch": 0.895774054167984, + "grad_norm": 0.28550079464912415, + "learning_rate": 4.040780202423715e-06, + "loss": 0.6183, + "step": 2125 + }, + { + "epoch": 0.8961955948993572, + "grad_norm": 0.27808085083961487, + "learning_rate": 4.039898487791246e-06, + "loss": 0.6218, + "step": 2126 + }, + { + "epoch": 0.8966171356307303, + "grad_norm": 0.2862350344657898, + "learning_rate": 4.039016464404721e-06, + "loss": 0.6342, + "step": 2127 + }, + { + "epoch": 0.8970386763621034, + "grad_norm": 0.28022876381874084, + "learning_rate": 4.038134132440991e-06, + "loss": 0.5981, + "step": 2128 + }, + { + "epoch": 0.8974602170934767, + "grad_norm": 0.28031426668167114, + "learning_rate": 4.037251492076962e-06, + "loss": 0.605, + "step": 2129 + }, + { + "epoch": 0.8978817578248498, + "grad_norm": 0.2737732231616974, + "learning_rate": 4.0363685434896095e-06, + "loss": 0.5851, + "step": 2130 + }, + { + "epoch": 0.898303298556223, + "grad_norm": 0.2849540710449219, + "learning_rate": 4.0354852868559665e-06, + "loss": 0.5969, + "step": 2131 + }, + { + "epoch": 0.8987248392875962, + "grad_norm": 0.27989661693573, + "learning_rate": 4.0346017223531284e-06, + "loss": 0.6348, + "step": 2132 + }, + { + "epoch": 0.8991463800189693, + "grad_norm": 0.2764364182949066, + "learning_rate": 4.0337178501582505e-06, + "loss": 0.5799, + "step": 2133 + }, + { + "epoch": 0.8995679207503425, + "grad_norm": 0.30946192145347595, + "learning_rate": 4.032833670448555e-06, + "loss": 0.5944, + "step": 2134 + }, + { + "epoch": 0.8999894614817157, + "grad_norm": 0.27153879404067993, + "learning_rate": 4.031949183401319e-06, + "loss": 0.6277, + "step": 2135 + }, + { + "epoch": 0.9004110022130888, + "grad_norm": 0.2839837074279785, + "learning_rate": 4.031064389193888e-06, + "loss": 0.5693, + "step": 2136 + }, + { + "epoch": 0.900832542944462, + "grad_norm": 0.30949097871780396, + "learning_rate": 4.030179288003663e-06, + "loss": 0.5885, + "step": 2137 + }, + { + "epoch": 0.9012540836758351, + "grad_norm": 0.2840593159198761, + "learning_rate": 4.029293880008111e-06, + "loss": 0.6036, + "step": 2138 + }, + { + "epoch": 0.9016756244072084, + "grad_norm": 0.2975214123725891, + "learning_rate": 4.028408165384758e-06, + "loss": 0.6035, + "step": 2139 + }, + { + "epoch": 0.9020971651385815, + "grad_norm": 0.27985626459121704, + "learning_rate": 4.027522144311193e-06, + "loss": 0.6074, + "step": 2140 + }, + { + "epoch": 0.9025187058699546, + "grad_norm": 0.2713305354118347, + "learning_rate": 4.026635816965065e-06, + "loss": 0.6016, + "step": 2141 + }, + { + "epoch": 0.9029402466013279, + "grad_norm": 0.2814711034297943, + "learning_rate": 4.025749183524087e-06, + "loss": 0.6192, + "step": 2142 + }, + { + "epoch": 0.903361787332701, + "grad_norm": 0.2971091568470001, + "learning_rate": 4.024862244166029e-06, + "loss": 0.5867, + "step": 2143 + }, + { + "epoch": 0.9037833280640742, + "grad_norm": 0.2876945436000824, + "learning_rate": 4.023974999068726e-06, + "loss": 0.618, + "step": 2144 + }, + { + "epoch": 0.9042048687954474, + "grad_norm": 0.2947264015674591, + "learning_rate": 4.023087448410073e-06, + "loss": 0.6162, + "step": 2145 + }, + { + "epoch": 0.9046264095268205, + "grad_norm": 0.3105650246143341, + "learning_rate": 4.022199592368027e-06, + "loss": 0.568, + "step": 2146 + }, + { + "epoch": 0.9050479502581937, + "grad_norm": 0.2721710205078125, + "learning_rate": 4.021311431120604e-06, + "loss": 0.6261, + "step": 2147 + }, + { + "epoch": 0.9054694909895669, + "grad_norm": 0.2941567301750183, + "learning_rate": 4.0204229648458864e-06, + "loss": 0.6028, + "step": 2148 + }, + { + "epoch": 0.90589103172094, + "grad_norm": 0.2927354872226715, + "learning_rate": 4.019534193722011e-06, + "loss": 0.6009, + "step": 2149 + }, + { + "epoch": 0.9063125724523132, + "grad_norm": 0.2825859487056732, + "learning_rate": 4.01864511792718e-06, + "loss": 0.6094, + "step": 2150 + }, + { + "epoch": 0.9067341131836864, + "grad_norm": 0.28243502974510193, + "learning_rate": 4.017755737639656e-06, + "loss": 0.605, + "step": 2151 + }, + { + "epoch": 0.9071556539150596, + "grad_norm": 0.2718103229999542, + "learning_rate": 4.016866053037762e-06, + "loss": 0.5913, + "step": 2152 + }, + { + "epoch": 0.9075771946464327, + "grad_norm": 0.2946881055831909, + "learning_rate": 4.015976064299882e-06, + "loss": 0.618, + "step": 2153 + }, + { + "epoch": 0.9079987353778058, + "grad_norm": 0.27851560711860657, + "learning_rate": 4.0150857716044606e-06, + "loss": 0.5828, + "step": 2154 + }, + { + "epoch": 0.9084202761091791, + "grad_norm": 0.2766689360141754, + "learning_rate": 4.014195175130005e-06, + "loss": 0.5989, + "step": 2155 + }, + { + "epoch": 0.9088418168405522, + "grad_norm": 0.2926025688648224, + "learning_rate": 4.013304275055083e-06, + "loss": 0.5808, + "step": 2156 + }, + { + "epoch": 0.9092633575719253, + "grad_norm": 0.27221032977104187, + "learning_rate": 4.012413071558322e-06, + "loss": 0.6068, + "step": 2157 + }, + { + "epoch": 0.9096848983032986, + "grad_norm": 0.2939716577529907, + "learning_rate": 4.011521564818411e-06, + "loss": 0.6064, + "step": 2158 + }, + { + "epoch": 0.9101064390346717, + "grad_norm": 0.2940266728401184, + "learning_rate": 4.010629755014099e-06, + "loss": 0.6018, + "step": 2159 + }, + { + "epoch": 0.9105279797660449, + "grad_norm": 0.2799992859363556, + "learning_rate": 4.009737642324197e-06, + "loss": 0.6157, + "step": 2160 + }, + { + "epoch": 0.9109495204974181, + "grad_norm": 0.30319494009017944, + "learning_rate": 4.008845226927575e-06, + "loss": 0.6128, + "step": 2161 + }, + { + "epoch": 0.9113710612287912, + "grad_norm": 0.29442089796066284, + "learning_rate": 4.007952509003167e-06, + "loss": 0.6005, + "step": 2162 + }, + { + "epoch": 0.9117926019601644, + "grad_norm": 0.28662458062171936, + "learning_rate": 4.007059488729964e-06, + "loss": 0.5993, + "step": 2163 + }, + { + "epoch": 0.9122141426915376, + "grad_norm": 0.28034350275993347, + "learning_rate": 4.006166166287019e-06, + "loss": 0.6241, + "step": 2164 + }, + { + "epoch": 0.9126356834229108, + "grad_norm": 0.2975638806819916, + "learning_rate": 4.0052725418534465e-06, + "loss": 0.5874, + "step": 2165 + }, + { + "epoch": 0.9130572241542839, + "grad_norm": 0.2957809567451477, + "learning_rate": 4.0043786156084206e-06, + "loss": 0.5858, + "step": 2166 + }, + { + "epoch": 0.913478764885657, + "grad_norm": 0.28277072310447693, + "learning_rate": 4.003484387731176e-06, + "loss": 0.5811, + "step": 2167 + }, + { + "epoch": 0.9139003056170303, + "grad_norm": 0.2862344980239868, + "learning_rate": 4.002589858401007e-06, + "loss": 0.5795, + "step": 2168 + }, + { + "epoch": 0.9143218463484034, + "grad_norm": 0.2989932894706726, + "learning_rate": 4.001695027797271e-06, + "loss": 0.5955, + "step": 2169 + }, + { + "epoch": 0.9147433870797765, + "grad_norm": 0.28623783588409424, + "learning_rate": 4.000799896099382e-06, + "loss": 0.6076, + "step": 2170 + }, + { + "epoch": 0.9151649278111498, + "grad_norm": 0.29774290323257446, + "learning_rate": 3.999904463486819e-06, + "loss": 0.5991, + "step": 2171 + }, + { + "epoch": 0.9155864685425229, + "grad_norm": 0.294663667678833, + "learning_rate": 3.999008730139117e-06, + "loss": 0.6146, + "step": 2172 + }, + { + "epoch": 0.9160080092738961, + "grad_norm": 0.2871439456939697, + "learning_rate": 3.998112696235874e-06, + "loss": 0.6131, + "step": 2173 + }, + { + "epoch": 0.9164295500052693, + "grad_norm": 0.273807168006897, + "learning_rate": 3.997216361956746e-06, + "loss": 0.6248, + "step": 2174 + }, + { + "epoch": 0.9168510907366424, + "grad_norm": 0.29719939827919006, + "learning_rate": 3.996319727481452e-06, + "loss": 0.5881, + "step": 2175 + }, + { + "epoch": 0.9172726314680156, + "grad_norm": 0.2858426570892334, + "learning_rate": 3.995422792989769e-06, + "loss": 0.6049, + "step": 2176 + }, + { + "epoch": 0.9176941721993888, + "grad_norm": 0.2690010964870453, + "learning_rate": 3.994525558661536e-06, + "loss": 0.6066, + "step": 2177 + }, + { + "epoch": 0.9181157129307619, + "grad_norm": 0.2945442795753479, + "learning_rate": 3.99362802467665e-06, + "loss": 0.6094, + "step": 2178 + }, + { + "epoch": 0.9185372536621351, + "grad_norm": 0.2932618260383606, + "learning_rate": 3.992730191215069e-06, + "loss": 0.6055, + "step": 2179 + }, + { + "epoch": 0.9189587943935082, + "grad_norm": 0.26866838335990906, + "learning_rate": 3.991832058456812e-06, + "loss": 0.5828, + "step": 2180 + }, + { + "epoch": 0.9193803351248815, + "grad_norm": 0.3017159402370453, + "learning_rate": 3.9909336265819565e-06, + "loss": 0.6112, + "step": 2181 + }, + { + "epoch": 0.9198018758562546, + "grad_norm": 0.2945748269557953, + "learning_rate": 3.9900348957706416e-06, + "loss": 0.5996, + "step": 2182 + }, + { + "epoch": 0.9202234165876277, + "grad_norm": 0.2749302387237549, + "learning_rate": 3.989135866203064e-06, + "loss": 0.6118, + "step": 2183 + }, + { + "epoch": 0.920644957319001, + "grad_norm": 0.2886725068092346, + "learning_rate": 3.988236538059483e-06, + "loss": 0.6015, + "step": 2184 + }, + { + "epoch": 0.9210664980503741, + "grad_norm": 0.28767129778862, + "learning_rate": 3.987336911520215e-06, + "loss": 0.6178, + "step": 2185 + }, + { + "epoch": 0.9214880387817472, + "grad_norm": 0.27905577421188354, + "learning_rate": 3.98643698676564e-06, + "loss": 0.6294, + "step": 2186 + }, + { + "epoch": 0.9219095795131205, + "grad_norm": 0.28357744216918945, + "learning_rate": 3.9855367639761935e-06, + "loss": 0.6085, + "step": 2187 + }, + { + "epoch": 0.9223311202444936, + "grad_norm": 0.2827235460281372, + "learning_rate": 3.984636243332373e-06, + "loss": 0.605, + "step": 2188 + }, + { + "epoch": 0.9227526609758668, + "grad_norm": 0.2820284068584442, + "learning_rate": 3.983735425014736e-06, + "loss": 0.5978, + "step": 2189 + }, + { + "epoch": 0.92317420170724, + "grad_norm": 0.28684645891189575, + "learning_rate": 3.9828343092038995e-06, + "loss": 0.593, + "step": 2190 + }, + { + "epoch": 0.9235957424386131, + "grad_norm": 0.26792189478874207, + "learning_rate": 3.981932896080539e-06, + "loss": 0.6164, + "step": 2191 + }, + { + "epoch": 0.9240172831699863, + "grad_norm": 0.2801945209503174, + "learning_rate": 3.98103118582539e-06, + "loss": 0.5925, + "step": 2192 + }, + { + "epoch": 0.9244388239013595, + "grad_norm": 0.29323193430900574, + "learning_rate": 3.98012917861925e-06, + "loss": 0.6089, + "step": 2193 + }, + { + "epoch": 0.9248603646327327, + "grad_norm": 0.275608092546463, + "learning_rate": 3.9792268746429715e-06, + "loss": 0.6156, + "step": 2194 + }, + { + "epoch": 0.9252819053641058, + "grad_norm": 0.28546401858329773, + "learning_rate": 3.978324274077471e-06, + "loss": 0.5979, + "step": 2195 + }, + { + "epoch": 0.9257034460954789, + "grad_norm": 0.2746219336986542, + "learning_rate": 3.977421377103721e-06, + "loss": 0.6389, + "step": 2196 + }, + { + "epoch": 0.9261249868268522, + "grad_norm": 0.2820807993412018, + "learning_rate": 3.976518183902757e-06, + "loss": 0.598, + "step": 2197 + }, + { + "epoch": 0.9265465275582253, + "grad_norm": 0.28698429465293884, + "learning_rate": 3.9756146946556686e-06, + "loss": 0.6201, + "step": 2198 + }, + { + "epoch": 0.9269680682895984, + "grad_norm": 0.2853392958641052, + "learning_rate": 3.974710909543611e-06, + "loss": 0.6018, + "step": 2199 + }, + { + "epoch": 0.9273896090209717, + "grad_norm": 0.3022915720939636, + "learning_rate": 3.973806828747795e-06, + "loss": 0.6333, + "step": 2200 + }, + { + "epoch": 0.9278111497523448, + "grad_norm": 0.2829367220401764, + "learning_rate": 3.97290245244949e-06, + "loss": 0.6063, + "step": 2201 + }, + { + "epoch": 0.928232690483718, + "grad_norm": 0.2798102796077728, + "learning_rate": 3.971997780830027e-06, + "loss": 0.6347, + "step": 2202 + }, + { + "epoch": 0.9286542312150912, + "grad_norm": 0.279094934463501, + "learning_rate": 3.971092814070796e-06, + "loss": 0.5913, + "step": 2203 + }, + { + "epoch": 0.9290757719464643, + "grad_norm": 0.2940881550312042, + "learning_rate": 3.970187552353244e-06, + "loss": 0.6, + "step": 2204 + }, + { + "epoch": 0.9294973126778375, + "grad_norm": 0.2886712849140167, + "learning_rate": 3.96928199585888e-06, + "loss": 0.5928, + "step": 2205 + }, + { + "epoch": 0.9299188534092107, + "grad_norm": 0.2864512503147125, + "learning_rate": 3.968376144769269e-06, + "loss": 0.6013, + "step": 2206 + }, + { + "epoch": 0.9303403941405838, + "grad_norm": 0.26435351371765137, + "learning_rate": 3.9674699992660385e-06, + "loss": 0.5832, + "step": 2207 + }, + { + "epoch": 0.930761934871957, + "grad_norm": 0.29388976097106934, + "learning_rate": 3.966563559530872e-06, + "loss": 0.6015, + "step": 2208 + }, + { + "epoch": 0.9311834756033301, + "grad_norm": 0.28892943263053894, + "learning_rate": 3.965656825745513e-06, + "loss": 0.6005, + "step": 2209 + }, + { + "epoch": 0.9316050163347034, + "grad_norm": 0.2897278070449829, + "learning_rate": 3.964749798091766e-06, + "loss": 0.6364, + "step": 2210 + }, + { + "epoch": 0.9320265570660765, + "grad_norm": 0.29189011454582214, + "learning_rate": 3.963842476751491e-06, + "loss": 0.6212, + "step": 2211 + }, + { + "epoch": 0.9324480977974496, + "grad_norm": 0.28161856532096863, + "learning_rate": 3.962934861906609e-06, + "loss": 0.5859, + "step": 2212 + }, + { + "epoch": 0.9328696385288229, + "grad_norm": 0.28370827436447144, + "learning_rate": 3.962026953739099e-06, + "loss": 0.6085, + "step": 2213 + }, + { + "epoch": 0.933291179260196, + "grad_norm": 0.29442110657691956, + "learning_rate": 3.961118752431e-06, + "loss": 0.6222, + "step": 2214 + }, + { + "epoch": 0.9337127199915692, + "grad_norm": 0.2824901342391968, + "learning_rate": 3.960210258164409e-06, + "loss": 0.596, + "step": 2215 + }, + { + "epoch": 0.9341342607229424, + "grad_norm": 0.2776724398136139, + "learning_rate": 3.959301471121481e-06, + "loss": 0.6049, + "step": 2216 + }, + { + "epoch": 0.9345558014543155, + "grad_norm": 0.27715787291526794, + "learning_rate": 3.95839239148443e-06, + "loss": 0.578, + "step": 2217 + }, + { + "epoch": 0.9349773421856887, + "grad_norm": 0.28056320548057556, + "learning_rate": 3.957483019435531e-06, + "loss": 0.6166, + "step": 2218 + }, + { + "epoch": 0.9353988829170619, + "grad_norm": 0.30024999380111694, + "learning_rate": 3.956573355157113e-06, + "loss": 0.6303, + "step": 2219 + }, + { + "epoch": 0.935820423648435, + "grad_norm": 0.2794478237628937, + "learning_rate": 3.955663398831569e-06, + "loss": 0.5946, + "step": 2220 + }, + { + "epoch": 0.9362419643798082, + "grad_norm": 0.28899577260017395, + "learning_rate": 3.954753150641346e-06, + "loss": 0.6316, + "step": 2221 + }, + { + "epoch": 0.9366635051111813, + "grad_norm": 0.27376696467399597, + "learning_rate": 3.953842610768952e-06, + "loss": 0.6022, + "step": 2222 + }, + { + "epoch": 0.9370850458425546, + "grad_norm": 0.29236894845962524, + "learning_rate": 3.952931779396953e-06, + "loss": 0.6022, + "step": 2223 + }, + { + "epoch": 0.9375065865739277, + "grad_norm": 0.2876782715320587, + "learning_rate": 3.952020656707973e-06, + "loss": 0.6077, + "step": 2224 + }, + { + "epoch": 0.9379281273053008, + "grad_norm": 0.2863978147506714, + "learning_rate": 3.951109242884694e-06, + "loss": 0.6278, + "step": 2225 + }, + { + "epoch": 0.9383496680366741, + "grad_norm": 0.27618297934532166, + "learning_rate": 3.9501975381098585e-06, + "loss": 0.5925, + "step": 2226 + }, + { + "epoch": 0.9387712087680472, + "grad_norm": 0.2849017083644867, + "learning_rate": 3.949285542566266e-06, + "loss": 0.6074, + "step": 2227 + }, + { + "epoch": 0.9391927494994203, + "grad_norm": 0.3025689721107483, + "learning_rate": 3.948373256436773e-06, + "loss": 0.6055, + "step": 2228 + }, + { + "epoch": 0.9396142902307936, + "grad_norm": 0.2864554226398468, + "learning_rate": 3.947460679904297e-06, + "loss": 0.6045, + "step": 2229 + }, + { + "epoch": 0.9400358309621667, + "grad_norm": 0.28702396154403687, + "learning_rate": 3.946547813151809e-06, + "loss": 0.6175, + "step": 2230 + }, + { + "epoch": 0.9404573716935399, + "grad_norm": 0.28559887409210205, + "learning_rate": 3.945634656362346e-06, + "loss": 0.6241, + "step": 2231 + }, + { + "epoch": 0.9408789124249131, + "grad_norm": 0.29609599709510803, + "learning_rate": 3.9447212097189945e-06, + "loss": 0.6133, + "step": 2232 + }, + { + "epoch": 0.9413004531562862, + "grad_norm": 0.2630096971988678, + "learning_rate": 3.943807473404906e-06, + "loss": 0.5952, + "step": 2233 + }, + { + "epoch": 0.9417219938876594, + "grad_norm": 0.28403013944625854, + "learning_rate": 3.942893447603284e-06, + "loss": 0.5923, + "step": 2234 + }, + { + "epoch": 0.9421435346190326, + "grad_norm": 0.3007854223251343, + "learning_rate": 3.941979132497398e-06, + "loss": 0.6169, + "step": 2235 + }, + { + "epoch": 0.9425650753504057, + "grad_norm": 0.2730088233947754, + "learning_rate": 3.941064528270566e-06, + "loss": 0.616, + "step": 2236 + }, + { + "epoch": 0.9429866160817789, + "grad_norm": 0.28775206208229065, + "learning_rate": 3.9401496351061725e-06, + "loss": 0.6064, + "step": 2237 + }, + { + "epoch": 0.943408156813152, + "grad_norm": 0.3401184380054474, + "learning_rate": 3.939234453187653e-06, + "loss": 0.6055, + "step": 2238 + }, + { + "epoch": 0.9438296975445253, + "grad_norm": 0.27999570965766907, + "learning_rate": 3.938318982698507e-06, + "loss": 0.6076, + "step": 2239 + }, + { + "epoch": 0.9442512382758984, + "grad_norm": 0.2810767889022827, + "learning_rate": 3.937403223822288e-06, + "loss": 0.6112, + "step": 2240 + }, + { + "epoch": 0.9446727790072715, + "grad_norm": 0.285456120967865, + "learning_rate": 3.936487176742607e-06, + "loss": 0.5906, + "step": 2241 + }, + { + "epoch": 0.9450943197386448, + "grad_norm": 0.2654629349708557, + "learning_rate": 3.935570841643136e-06, + "loss": 0.5868, + "step": 2242 + }, + { + "epoch": 0.9455158604700179, + "grad_norm": 0.27784648537635803, + "learning_rate": 3.934654218707601e-06, + "loss": 0.5785, + "step": 2243 + }, + { + "epoch": 0.9459374012013911, + "grad_norm": 0.2784576714038849, + "learning_rate": 3.933737308119789e-06, + "loss": 0.5953, + "step": 2244 + }, + { + "epoch": 0.9463589419327643, + "grad_norm": 0.27703163027763367, + "learning_rate": 3.932820110063541e-06, + "loss": 0.6094, + "step": 2245 + }, + { + "epoch": 0.9467804826641374, + "grad_norm": 0.2766515910625458, + "learning_rate": 3.93190262472276e-06, + "loss": 0.587, + "step": 2246 + }, + { + "epoch": 0.9472020233955106, + "grad_norm": 0.2773672044277191, + "learning_rate": 3.9309848522814045e-06, + "loss": 0.6043, + "step": 2247 + }, + { + "epoch": 0.9476235641268838, + "grad_norm": 0.29011252522468567, + "learning_rate": 3.930066792923489e-06, + "loss": 0.6091, + "step": 2248 + }, + { + "epoch": 0.9480451048582569, + "grad_norm": 0.31273454427719116, + "learning_rate": 3.929148446833089e-06, + "loss": 0.5832, + "step": 2249 + }, + { + "epoch": 0.9484666455896301, + "grad_norm": 0.299483984708786, + "learning_rate": 3.928229814194335e-06, + "loss": 0.6033, + "step": 2250 + }, + { + "epoch": 0.9488881863210032, + "grad_norm": 0.3058757185935974, + "learning_rate": 3.927310895191413e-06, + "loss": 0.6114, + "step": 2251 + }, + { + "epoch": 0.9493097270523765, + "grad_norm": 0.32154780626296997, + "learning_rate": 3.926391690008571e-06, + "loss": 0.6026, + "step": 2252 + }, + { + "epoch": 0.9497312677837496, + "grad_norm": 0.27533838152885437, + "learning_rate": 3.925472198830112e-06, + "loss": 0.6083, + "step": 2253 + }, + { + "epoch": 0.9501528085151227, + "grad_norm": 0.30225443840026855, + "learning_rate": 3.924552421840397e-06, + "loss": 0.5971, + "step": 2254 + }, + { + "epoch": 0.950574349246496, + "grad_norm": 0.3585510849952698, + "learning_rate": 3.923632359223843e-06, + "loss": 0.6134, + "step": 2255 + }, + { + "epoch": 0.9509958899778691, + "grad_norm": 0.2780791223049164, + "learning_rate": 3.922712011164926e-06, + "loss": 0.5796, + "step": 2256 + }, + { + "epoch": 0.9514174307092422, + "grad_norm": 0.31672948598861694, + "learning_rate": 3.921791377848179e-06, + "loss": 0.6094, + "step": 2257 + }, + { + "epoch": 0.9518389714406155, + "grad_norm": 0.3601115942001343, + "learning_rate": 3.9208704594581895e-06, + "loss": 0.5935, + "step": 2258 + }, + { + "epoch": 0.9522605121719886, + "grad_norm": 0.27946773171424866, + "learning_rate": 3.919949256179607e-06, + "loss": 0.6065, + "step": 2259 + }, + { + "epoch": 0.9526820529033618, + "grad_norm": 0.3284471929073334, + "learning_rate": 3.9190277681971325e-06, + "loss": 0.6035, + "step": 2260 + }, + { + "epoch": 0.953103593634735, + "grad_norm": 0.3442308306694031, + "learning_rate": 3.918105995695529e-06, + "loss": 0.5955, + "step": 2261 + }, + { + "epoch": 0.9535251343661081, + "grad_norm": 0.3055817186832428, + "learning_rate": 3.917183938859614e-06, + "loss": 0.5905, + "step": 2262 + }, + { + "epoch": 0.9539466750974813, + "grad_norm": 0.29305440187454224, + "learning_rate": 3.916261597874262e-06, + "loss": 0.6027, + "step": 2263 + }, + { + "epoch": 0.9543682158288544, + "grad_norm": 0.3483583331108093, + "learning_rate": 3.915338972924405e-06, + "loss": 0.5893, + "step": 2264 + }, + { + "epoch": 0.9547897565602277, + "grad_norm": 0.2935795485973358, + "learning_rate": 3.9144160641950336e-06, + "loss": 0.602, + "step": 2265 + }, + { + "epoch": 0.9552112972916008, + "grad_norm": 0.27118217945098877, + "learning_rate": 3.913492871871192e-06, + "loss": 0.6086, + "step": 2266 + }, + { + "epoch": 0.9556328380229739, + "grad_norm": 0.2959030866622925, + "learning_rate": 3.912569396137984e-06, + "loss": 0.59, + "step": 2267 + }, + { + "epoch": 0.9560543787543472, + "grad_norm": 0.3291478753089905, + "learning_rate": 3.911645637180568e-06, + "loss": 0.6072, + "step": 2268 + }, + { + "epoch": 0.9564759194857203, + "grad_norm": 0.33360931277275085, + "learning_rate": 3.91072159518416e-06, + "loss": 0.5805, + "step": 2269 + }, + { + "epoch": 0.9568974602170934, + "grad_norm": 0.28666454553604126, + "learning_rate": 3.909797270334035e-06, + "loss": 0.5875, + "step": 2270 + }, + { + "epoch": 0.9573190009484667, + "grad_norm": 0.3093635141849518, + "learning_rate": 3.908872662815521e-06, + "loss": 0.5923, + "step": 2271 + }, + { + "epoch": 0.9577405416798398, + "grad_norm": 0.28461939096450806, + "learning_rate": 3.907947772814006e-06, + "loss": 0.6116, + "step": 2272 + }, + { + "epoch": 0.958162082411213, + "grad_norm": 0.282041996717453, + "learning_rate": 3.907022600514931e-06, + "loss": 0.6101, + "step": 2273 + }, + { + "epoch": 0.9585836231425862, + "grad_norm": 0.281760036945343, + "learning_rate": 3.9060971461037965e-06, + "loss": 0.6207, + "step": 2274 + }, + { + "epoch": 0.9590051638739593, + "grad_norm": 0.28164204955101013, + "learning_rate": 3.905171409766161e-06, + "loss": 0.6052, + "step": 2275 + }, + { + "epoch": 0.9594267046053325, + "grad_norm": 0.31009265780448914, + "learning_rate": 3.904245391687635e-06, + "loss": 0.6141, + "step": 2276 + }, + { + "epoch": 0.9598482453367057, + "grad_norm": 0.28976762294769287, + "learning_rate": 3.903319092053886e-06, + "loss": 0.6034, + "step": 2277 + }, + { + "epoch": 0.9602697860680788, + "grad_norm": 0.2753479480743408, + "learning_rate": 3.902392511050645e-06, + "loss": 0.6004, + "step": 2278 + }, + { + "epoch": 0.960691326799452, + "grad_norm": 0.2792729139328003, + "learning_rate": 3.90146564886369e-06, + "loss": 0.604, + "step": 2279 + }, + { + "epoch": 0.9611128675308251, + "grad_norm": 0.27799367904663086, + "learning_rate": 3.900538505678859e-06, + "loss": 0.6119, + "step": 2280 + }, + { + "epoch": 0.9615344082621984, + "grad_norm": 0.30479997396469116, + "learning_rate": 3.89961108168205e-06, + "loss": 0.6084, + "step": 2281 + }, + { + "epoch": 0.9619559489935715, + "grad_norm": 0.2862239480018616, + "learning_rate": 3.8986833770592125e-06, + "loss": 0.6349, + "step": 2282 + }, + { + "epoch": 0.9623774897249446, + "grad_norm": 0.2916741967201233, + "learning_rate": 3.897755391996354e-06, + "loss": 0.5836, + "step": 2283 + }, + { + "epoch": 0.9627990304563179, + "grad_norm": 0.30355191230773926, + "learning_rate": 3.896827126679537e-06, + "loss": 0.5871, + "step": 2284 + }, + { + "epoch": 0.963220571187691, + "grad_norm": 0.29013755917549133, + "learning_rate": 3.8958985812948844e-06, + "loss": 0.6115, + "step": 2285 + }, + { + "epoch": 0.9636421119190641, + "grad_norm": 0.2741113305091858, + "learning_rate": 3.8949697560285695e-06, + "loss": 0.6003, + "step": 2286 + }, + { + "epoch": 0.9640636526504374, + "grad_norm": 0.28248217701911926, + "learning_rate": 3.894040651066826e-06, + "loss": 0.6074, + "step": 2287 + }, + { + "epoch": 0.9644851933818105, + "grad_norm": 0.29614850878715515, + "learning_rate": 3.893111266595941e-06, + "loss": 0.6123, + "step": 2288 + }, + { + "epoch": 0.9649067341131837, + "grad_norm": 0.26676252484321594, + "learning_rate": 3.892181602802259e-06, + "loss": 0.6171, + "step": 2289 + }, + { + "epoch": 0.9653282748445569, + "grad_norm": 0.28357061743736267, + "learning_rate": 3.891251659872181e-06, + "loss": 0.5868, + "step": 2290 + }, + { + "epoch": 0.96574981557593, + "grad_norm": 0.2830214202404022, + "learning_rate": 3.8903214379921614e-06, + "loss": 0.6049, + "step": 2291 + }, + { + "epoch": 0.9661713563073032, + "grad_norm": 0.28438079357147217, + "learning_rate": 3.889390937348715e-06, + "loss": 0.616, + "step": 2292 + }, + { + "epoch": 0.9665928970386763, + "grad_norm": 0.2946721613407135, + "learning_rate": 3.8884601581284075e-06, + "loss": 0.5774, + "step": 2293 + }, + { + "epoch": 0.9670144377700496, + "grad_norm": 0.26881149411201477, + "learning_rate": 3.887529100517864e-06, + "loss": 0.6072, + "step": 2294 + }, + { + "epoch": 0.9674359785014227, + "grad_norm": 0.2788190543651581, + "learning_rate": 3.886597764703763e-06, + "loss": 0.6226, + "step": 2295 + }, + { + "epoch": 0.9678575192327958, + "grad_norm": 0.3008344769477844, + "learning_rate": 3.885666150872843e-06, + "loss": 0.5968, + "step": 2296 + }, + { + "epoch": 0.9682790599641691, + "grad_norm": 0.27828311920166016, + "learning_rate": 3.884734259211892e-06, + "loss": 0.5991, + "step": 2297 + }, + { + "epoch": 0.9687006006955422, + "grad_norm": 0.29506435990333557, + "learning_rate": 3.883802089907758e-06, + "loss": 0.6074, + "step": 2298 + }, + { + "epoch": 0.9691221414269153, + "grad_norm": 0.2771647870540619, + "learning_rate": 3.882869643147344e-06, + "loss": 0.6181, + "step": 2299 + }, + { + "epoch": 0.9695436821582886, + "grad_norm": 0.29433438181877136, + "learning_rate": 3.881936919117608e-06, + "loss": 0.6017, + "step": 2300 + }, + { + "epoch": 0.9699652228896617, + "grad_norm": 0.2772413194179535, + "learning_rate": 3.881003918005564e-06, + "loss": 0.5979, + "step": 2301 + }, + { + "epoch": 0.9703867636210349, + "grad_norm": 0.2829548120498657, + "learning_rate": 3.88007063999828e-06, + "loss": 0.62, + "step": 2302 + }, + { + "epoch": 0.9708083043524081, + "grad_norm": 0.2813149094581604, + "learning_rate": 3.879137085282883e-06, + "loss": 0.6179, + "step": 2303 + }, + { + "epoch": 0.9712298450837812, + "grad_norm": 0.27367615699768066, + "learning_rate": 3.878203254046553e-06, + "loss": 0.6103, + "step": 2304 + }, + { + "epoch": 0.9716513858151544, + "grad_norm": 0.28040611743927, + "learning_rate": 3.8772691464765244e-06, + "loss": 0.5811, + "step": 2305 + }, + { + "epoch": 0.9720729265465275, + "grad_norm": 0.2823663055896759, + "learning_rate": 3.87633476276009e-06, + "loss": 0.5909, + "step": 2306 + }, + { + "epoch": 0.9724944672779007, + "grad_norm": 0.29227545857429504, + "learning_rate": 3.875400103084596e-06, + "loss": 0.5947, + "step": 2307 + }, + { + "epoch": 0.9729160080092739, + "grad_norm": 0.2901232838630676, + "learning_rate": 3.874465167637443e-06, + "loss": 0.5743, + "step": 2308 + }, + { + "epoch": 0.973337548740647, + "grad_norm": 0.27965834736824036, + "learning_rate": 3.873529956606091e-06, + "loss": 0.615, + "step": 2309 + }, + { + "epoch": 0.9737590894720203, + "grad_norm": 0.2752435803413391, + "learning_rate": 3.87259447017805e-06, + "loss": 0.6172, + "step": 2310 + }, + { + "epoch": 0.9741806302033934, + "grad_norm": 0.2852821350097656, + "learning_rate": 3.871658708540888e-06, + "loss": 0.5948, + "step": 2311 + }, + { + "epoch": 0.9746021709347665, + "grad_norm": 0.29288598895072937, + "learning_rate": 3.8707226718822295e-06, + "loss": 0.6041, + "step": 2312 + }, + { + "epoch": 0.9750237116661398, + "grad_norm": 0.2894674837589264, + "learning_rate": 3.8697863603897515e-06, + "loss": 0.6066, + "step": 2313 + }, + { + "epoch": 0.9754452523975129, + "grad_norm": 0.28330737352371216, + "learning_rate": 3.868849774251186e-06, + "loss": 0.5978, + "step": 2314 + }, + { + "epoch": 0.975866793128886, + "grad_norm": 0.2776613235473633, + "learning_rate": 3.867912913654324e-06, + "loss": 0.6046, + "step": 2315 + }, + { + "epoch": 0.9762883338602593, + "grad_norm": 0.28327205777168274, + "learning_rate": 3.866975778787006e-06, + "loss": 0.5907, + "step": 2316 + }, + { + "epoch": 0.9767098745916324, + "grad_norm": 0.28314539790153503, + "learning_rate": 3.866038369837131e-06, + "loss": 0.6052, + "step": 2317 + }, + { + "epoch": 0.9771314153230056, + "grad_norm": 0.29251641035079956, + "learning_rate": 3.865100686992652e-06, + "loss": 0.5939, + "step": 2318 + }, + { + "epoch": 0.9775529560543788, + "grad_norm": 0.2855965793132782, + "learning_rate": 3.864162730441579e-06, + "loss": 0.6067, + "step": 2319 + }, + { + "epoch": 0.9779744967857519, + "grad_norm": 0.28611767292022705, + "learning_rate": 3.863224500371973e-06, + "loss": 0.6204, + "step": 2320 + }, + { + "epoch": 0.9783960375171251, + "grad_norm": 0.2908514440059662, + "learning_rate": 3.862285996971952e-06, + "loss": 0.6402, + "step": 2321 + }, + { + "epoch": 0.9788175782484982, + "grad_norm": 0.28100308775901794, + "learning_rate": 3.861347220429689e-06, + "loss": 0.6074, + "step": 2322 + }, + { + "epoch": 0.9792391189798715, + "grad_norm": 0.2851255536079407, + "learning_rate": 3.860408170933412e-06, + "loss": 0.6179, + "step": 2323 + }, + { + "epoch": 0.9796606597112446, + "grad_norm": 0.3015802800655365, + "learning_rate": 3.859468848671401e-06, + "loss": 0.6111, + "step": 2324 + }, + { + "epoch": 0.9800822004426177, + "grad_norm": 0.26925206184387207, + "learning_rate": 3.858529253831996e-06, + "loss": 0.574, + "step": 2325 + }, + { + "epoch": 0.980503741173991, + "grad_norm": 0.2821880578994751, + "learning_rate": 3.857589386603586e-06, + "loss": 0.5811, + "step": 2326 + }, + { + "epoch": 0.9809252819053641, + "grad_norm": 0.2831347584724426, + "learning_rate": 3.856649247174618e-06, + "loss": 0.6052, + "step": 2327 + }, + { + "epoch": 0.9813468226367372, + "grad_norm": 0.2848794460296631, + "learning_rate": 3.855708835733592e-06, + "loss": 0.5959, + "step": 2328 + }, + { + "epoch": 0.9817683633681105, + "grad_norm": 0.27481842041015625, + "learning_rate": 3.8547681524690636e-06, + "loss": 0.6096, + "step": 2329 + }, + { + "epoch": 0.9821899040994836, + "grad_norm": 0.2689361870288849, + "learning_rate": 3.853827197569643e-06, + "loss": 0.6068, + "step": 2330 + }, + { + "epoch": 0.9826114448308568, + "grad_norm": 0.2996506094932556, + "learning_rate": 3.852885971223994e-06, + "loss": 0.6057, + "step": 2331 + }, + { + "epoch": 0.98303298556223, + "grad_norm": 0.27831658720970154, + "learning_rate": 3.851944473620834e-06, + "loss": 0.6407, + "step": 2332 + }, + { + "epoch": 0.9834545262936031, + "grad_norm": 0.2729586958885193, + "learning_rate": 3.8510027049489375e-06, + "loss": 0.6112, + "step": 2333 + }, + { + "epoch": 0.9838760670249763, + "grad_norm": 0.2839052975177765, + "learning_rate": 3.850060665397132e-06, + "loss": 0.6031, + "step": 2334 + }, + { + "epoch": 0.9842976077563494, + "grad_norm": 0.277802437543869, + "learning_rate": 3.849118355154298e-06, + "loss": 0.6166, + "step": 2335 + }, + { + "epoch": 0.9847191484877226, + "grad_norm": 0.29497143626213074, + "learning_rate": 3.848175774409371e-06, + "loss": 0.5952, + "step": 2336 + }, + { + "epoch": 0.9851406892190958, + "grad_norm": 0.29097846150398254, + "learning_rate": 3.847232923351343e-06, + "loss": 0.6188, + "step": 2337 + }, + { + "epoch": 0.9855622299504689, + "grad_norm": 0.28244611620903015, + "learning_rate": 3.846289802169257e-06, + "loss": 0.6027, + "step": 2338 + }, + { + "epoch": 0.9859837706818422, + "grad_norm": 0.2995868921279907, + "learning_rate": 3.845346411052211e-06, + "loss": 0.6142, + "step": 2339 + }, + { + "epoch": 0.9864053114132153, + "grad_norm": 0.2752271294593811, + "learning_rate": 3.84440275018936e-06, + "loss": 0.6136, + "step": 2340 + }, + { + "epoch": 0.9868268521445884, + "grad_norm": 0.2759368419647217, + "learning_rate": 3.843458819769908e-06, + "loss": 0.604, + "step": 2341 + }, + { + "epoch": 0.9872483928759617, + "grad_norm": 0.2889411747455597, + "learning_rate": 3.842514619983118e-06, + "loss": 0.6046, + "step": 2342 + }, + { + "epoch": 0.9876699336073348, + "grad_norm": 0.29494187235832214, + "learning_rate": 3.8415701510183014e-06, + "loss": 0.5794, + "step": 2343 + }, + { + "epoch": 0.988091474338708, + "grad_norm": 0.27018147706985474, + "learning_rate": 3.840625413064831e-06, + "loss": 0.613, + "step": 2344 + }, + { + "epoch": 0.9885130150700812, + "grad_norm": 0.27789413928985596, + "learning_rate": 3.8396804063121275e-06, + "loss": 0.5997, + "step": 2345 + }, + { + "epoch": 0.9889345558014543, + "grad_norm": 0.30701005458831787, + "learning_rate": 3.8387351309496674e-06, + "loss": 0.5921, + "step": 2346 + }, + { + "epoch": 0.9893560965328275, + "grad_norm": 0.2997194826602936, + "learning_rate": 3.837789587166981e-06, + "loss": 0.6125, + "step": 2347 + }, + { + "epoch": 0.9897776372642006, + "grad_norm": 0.28274911642074585, + "learning_rate": 3.836843775153654e-06, + "loss": 0.6087, + "step": 2348 + }, + { + "epoch": 0.9901991779955738, + "grad_norm": 0.29039493203163147, + "learning_rate": 3.835897695099322e-06, + "loss": 0.6195, + "step": 2349 + }, + { + "epoch": 0.990620718726947, + "grad_norm": 0.2735041081905365, + "learning_rate": 3.834951347193679e-06, + "loss": 0.5989, + "step": 2350 + }, + { + "epoch": 0.9910422594583201, + "grad_norm": 0.2798038721084595, + "learning_rate": 3.8340047316264685e-06, + "loss": 0.6231, + "step": 2351 + }, + { + "epoch": 0.9914638001896934, + "grad_norm": 0.2791386842727661, + "learning_rate": 3.83305784858749e-06, + "loss": 0.6082, + "step": 2352 + }, + { + "epoch": 0.9918853409210665, + "grad_norm": 0.2851346433162689, + "learning_rate": 3.832110698266598e-06, + "loss": 0.6046, + "step": 2353 + }, + { + "epoch": 0.9923068816524396, + "grad_norm": 0.28105953335762024, + "learning_rate": 3.831163280853698e-06, + "loss": 0.5793, + "step": 2354 + }, + { + "epoch": 0.9927284223838129, + "grad_norm": 0.28375425934791565, + "learning_rate": 3.830215596538749e-06, + "loss": 0.6022, + "step": 2355 + }, + { + "epoch": 0.993149963115186, + "grad_norm": 0.29085788130760193, + "learning_rate": 3.8292676455117665e-06, + "loss": 0.6111, + "step": 2356 + }, + { + "epoch": 0.9935715038465591, + "grad_norm": 0.28563249111175537, + "learning_rate": 3.8283194279628136e-06, + "loss": 0.5985, + "step": 2357 + }, + { + "epoch": 0.9939930445779324, + "grad_norm": 0.2845872938632965, + "learning_rate": 3.827370944082014e-06, + "loss": 0.5824, + "step": 2358 + }, + { + "epoch": 0.9944145853093055, + "grad_norm": 0.27961254119873047, + "learning_rate": 3.8264221940595415e-06, + "loss": 0.601, + "step": 2359 + }, + { + "epoch": 0.9948361260406787, + "grad_norm": 0.2869557738304138, + "learning_rate": 3.825473178085621e-06, + "loss": 0.5925, + "step": 2360 + }, + { + "epoch": 0.9952576667720519, + "grad_norm": 0.28052857518196106, + "learning_rate": 3.824523896350533e-06, + "loss": 0.6276, + "step": 2361 + }, + { + "epoch": 0.995679207503425, + "grad_norm": 0.28515782952308655, + "learning_rate": 3.823574349044614e-06, + "loss": 0.6044, + "step": 2362 + }, + { + "epoch": 0.9961007482347982, + "grad_norm": 0.2769378125667572, + "learning_rate": 3.822624536358249e-06, + "loss": 0.6143, + "step": 2363 + }, + { + "epoch": 0.9965222889661713, + "grad_norm": 0.27190500497817993, + "learning_rate": 3.8216744584818775e-06, + "loss": 0.5809, + "step": 2364 + }, + { + "epoch": 0.9969438296975445, + "grad_norm": 0.28445911407470703, + "learning_rate": 3.8207241156059945e-06, + "loss": 0.6106, + "step": 2365 + }, + { + "epoch": 0.9973653704289177, + "grad_norm": 0.29215818643569946, + "learning_rate": 3.819773507921145e-06, + "loss": 0.606, + "step": 2366 + }, + { + "epoch": 0.9977869111602908, + "grad_norm": 0.2882162630558014, + "learning_rate": 3.818822635617929e-06, + "loss": 0.5858, + "step": 2367 + }, + { + "epoch": 0.9982084518916641, + "grad_norm": 0.28893187642097473, + "learning_rate": 3.817871498887e-06, + "loss": 0.5993, + "step": 2368 + }, + { + "epoch": 0.9986299926230372, + "grad_norm": 0.28756967186927795, + "learning_rate": 3.816920097919063e-06, + "loss": 0.582, + "step": 2369 + }, + { + "epoch": 0.9990515333544103, + "grad_norm": 0.2795482873916626, + "learning_rate": 3.815968432904877e-06, + "loss": 0.612, + "step": 2370 + }, + { + "epoch": 0.9994730740857836, + "grad_norm": 0.2794437110424042, + "learning_rate": 3.815016504035252e-06, + "loss": 0.6052, + "step": 2371 + }, + { + "epoch": 0.9998946148171567, + "grad_norm": 0.26533517241477966, + "learning_rate": 3.8140643115010546e-06, + "loss": 0.5968, + "step": 2372 + } + ], + "logging_steps": 1, + "max_steps": 7116, + "num_input_tokens_seen": 0, + "num_train_epochs": 3, + "save_steps": 2372, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 2.125410346482008e+19, + "train_batch_size": 12, + "trial_name": null, + "trial_params": null +}