diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,13407 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 2.998676016280096, + "eval_steps": 500, + "global_step": 1911, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0015691658902564605, + "grad_norm": 11.272488257964362, + "learning_rate": 3.4482758620689656e-07, + "loss": 1.4352, + "step": 1 + }, + { + "epoch": 0.003138331780512921, + "grad_norm": 11.0931606459403, + "learning_rate": 6.896551724137931e-07, + "loss": 1.4128, + "step": 2 + }, + { + "epoch": 0.004707497670769382, + "grad_norm": 10.643291417717766, + "learning_rate": 1.0344827586206898e-06, + "loss": 1.3831, + "step": 3 + }, + { + "epoch": 0.006276663561025842, + "grad_norm": 11.830761571467178, + "learning_rate": 1.3793103448275862e-06, + "loss": 1.403, + "step": 4 + }, + { + "epoch": 0.007845829451282304, + "grad_norm": 10.521045392166496, + "learning_rate": 1.724137931034483e-06, + "loss": 1.4114, + "step": 5 + }, + { + "epoch": 0.009414995341538763, + "grad_norm": 9.521913823560627, + "learning_rate": 2.0689655172413796e-06, + "loss": 1.3692, + "step": 6 + }, + { + "epoch": 0.010984161231795225, + "grad_norm": 5.232682953056989, + "learning_rate": 2.4137931034482762e-06, + "loss": 1.3208, + "step": 7 + }, + { + "epoch": 0.012553327122051684, + "grad_norm": 4.476804897678295, + "learning_rate": 2.7586206896551725e-06, + "loss": 1.2706, + "step": 8 + }, + { + "epoch": 0.014122493012308146, + "grad_norm": 2.7967062768481865, + "learning_rate": 3.103448275862069e-06, + "loss": 1.1767, + "step": 9 + }, + { + "epoch": 0.015691658902564607, + "grad_norm": 2.5441620398429463, + "learning_rate": 3.448275862068966e-06, + "loss": 1.1364, + "step": 10 + }, + { + "epoch": 0.017260824792821067, + "grad_norm": 2.500120686959644, + "learning_rate": 3.793103448275862e-06, + "loss": 1.1842, + "step": 11 + }, + { + "epoch": 0.018829990683077526, + "grad_norm": 2.740073197861995, + "learning_rate": 4.137931034482759e-06, + "loss": 1.1003, + "step": 12 + }, + { + "epoch": 0.020399156573333986, + "grad_norm": 2.3918313029109917, + "learning_rate": 4.482758620689656e-06, + "loss": 1.1322, + "step": 13 + }, + { + "epoch": 0.02196832246359045, + "grad_norm": 2.2662733556116312, + "learning_rate": 4.8275862068965525e-06, + "loss": 1.1162, + "step": 14 + }, + { + "epoch": 0.02353748835384691, + "grad_norm": 2.1915447862782527, + "learning_rate": 5.172413793103449e-06, + "loss": 1.0935, + "step": 15 + }, + { + "epoch": 0.02510665424410337, + "grad_norm": 2.0421259400073, + "learning_rate": 5.517241379310345e-06, + "loss": 1.0534, + "step": 16 + }, + { + "epoch": 0.026675820134359828, + "grad_norm": 2.4390986023165158, + "learning_rate": 5.862068965517242e-06, + "loss": 1.0959, + "step": 17 + }, + { + "epoch": 0.02824498602461629, + "grad_norm": 1.8985984381891956, + "learning_rate": 6.206896551724138e-06, + "loss": 1.056, + "step": 18 + }, + { + "epoch": 0.02981415191487275, + "grad_norm": 1.6963799376959103, + "learning_rate": 6.551724137931035e-06, + "loss": 1.0459, + "step": 19 + }, + { + "epoch": 0.031383317805129214, + "grad_norm": 1.6281550972419943, + "learning_rate": 6.896551724137932e-06, + "loss": 1.042, + "step": 20 + }, + { + "epoch": 0.03295248369538567, + "grad_norm": 1.4261844326769773, + "learning_rate": 7.241379310344828e-06, + "loss": 1.0209, + "step": 21 + }, + { + "epoch": 0.034521649585642133, + "grad_norm": 1.3836614317055176, + "learning_rate": 7.586206896551724e-06, + "loss": 1.0288, + "step": 22 + }, + { + "epoch": 0.03609081547589859, + "grad_norm": 1.3366047431421009, + "learning_rate": 7.93103448275862e-06, + "loss": 1.0478, + "step": 23 + }, + { + "epoch": 0.03765998136615505, + "grad_norm": 1.3544976854281805, + "learning_rate": 8.275862068965518e-06, + "loss": 1.0472, + "step": 24 + }, + { + "epoch": 0.039229147256411516, + "grad_norm": 1.37085590741488, + "learning_rate": 8.620689655172414e-06, + "loss": 1.0243, + "step": 25 + }, + { + "epoch": 0.04079831314666797, + "grad_norm": 1.3399659661475207, + "learning_rate": 8.965517241379312e-06, + "loss": 1.0067, + "step": 26 + }, + { + "epoch": 0.042367479036924435, + "grad_norm": 1.1338660079511698, + "learning_rate": 9.310344827586207e-06, + "loss": 0.9967, + "step": 27 + }, + { + "epoch": 0.0439366449271809, + "grad_norm": 1.1473655664327627, + "learning_rate": 9.655172413793105e-06, + "loss": 0.989, + "step": 28 + }, + { + "epoch": 0.045505810817437355, + "grad_norm": 1.1519251849162189, + "learning_rate": 1e-05, + "loss": 0.9928, + "step": 29 + }, + { + "epoch": 0.04707497670769382, + "grad_norm": 1.1092645739751517, + "learning_rate": 1.0344827586206898e-05, + "loss": 0.9679, + "step": 30 + }, + { + "epoch": 0.048644142597950274, + "grad_norm": 1.0638236897062967, + "learning_rate": 1.0689655172413792e-05, + "loss": 0.9589, + "step": 31 + }, + { + "epoch": 0.05021330848820674, + "grad_norm": 0.9312615409095046, + "learning_rate": 1.103448275862069e-05, + "loss": 0.9473, + "step": 32 + }, + { + "epoch": 0.0517824743784632, + "grad_norm": 0.9660355103833085, + "learning_rate": 1.1379310344827587e-05, + "loss": 0.9828, + "step": 33 + }, + { + "epoch": 0.053351640268719656, + "grad_norm": 1.0466827883694991, + "learning_rate": 1.1724137931034483e-05, + "loss": 0.9772, + "step": 34 + }, + { + "epoch": 0.05492080615897612, + "grad_norm": 0.8931657272159612, + "learning_rate": 1.206896551724138e-05, + "loss": 0.9646, + "step": 35 + }, + { + "epoch": 0.05648997204923258, + "grad_norm": 0.8019826823207468, + "learning_rate": 1.2413793103448277e-05, + "loss": 0.9663, + "step": 36 + }, + { + "epoch": 0.05805913793948904, + "grad_norm": 0.8276045830440536, + "learning_rate": 1.2758620689655174e-05, + "loss": 0.9662, + "step": 37 + }, + { + "epoch": 0.0596283038297455, + "grad_norm": 0.923971173195591, + "learning_rate": 1.310344827586207e-05, + "loss": 0.9707, + "step": 38 + }, + { + "epoch": 0.06119746972000196, + "grad_norm": 0.8625258254200348, + "learning_rate": 1.3448275862068967e-05, + "loss": 0.9785, + "step": 39 + }, + { + "epoch": 0.06276663561025843, + "grad_norm": 0.7743708162100692, + "learning_rate": 1.3793103448275863e-05, + "loss": 0.9679, + "step": 40 + }, + { + "epoch": 0.06433580150051488, + "grad_norm": 0.8627254879884673, + "learning_rate": 1.4137931034482759e-05, + "loss": 0.9393, + "step": 41 + }, + { + "epoch": 0.06590496739077134, + "grad_norm": 0.9276663241128001, + "learning_rate": 1.4482758620689657e-05, + "loss": 0.965, + "step": 42 + }, + { + "epoch": 0.0674741332810278, + "grad_norm": 0.8040970997079206, + "learning_rate": 1.4827586206896554e-05, + "loss": 0.9449, + "step": 43 + }, + { + "epoch": 0.06904329917128427, + "grad_norm": 0.7654771283178015, + "learning_rate": 1.5172413793103448e-05, + "loss": 0.9292, + "step": 44 + }, + { + "epoch": 0.07061246506154073, + "grad_norm": 0.8331404099529315, + "learning_rate": 1.5517241379310346e-05, + "loss": 0.9264, + "step": 45 + }, + { + "epoch": 0.07218163095179718, + "grad_norm": 0.8582155957880822, + "learning_rate": 1.586206896551724e-05, + "loss": 0.96, + "step": 46 + }, + { + "epoch": 0.07375079684205364, + "grad_norm": 0.984701936656816, + "learning_rate": 1.6206896551724137e-05, + "loss": 0.9365, + "step": 47 + }, + { + "epoch": 0.0753199627323101, + "grad_norm": 0.8543319754765061, + "learning_rate": 1.6551724137931037e-05, + "loss": 0.9387, + "step": 48 + }, + { + "epoch": 0.07688912862256657, + "grad_norm": 0.7354318449970685, + "learning_rate": 1.6896551724137932e-05, + "loss": 0.9425, + "step": 49 + }, + { + "epoch": 0.07845829451282303, + "grad_norm": 0.8213529344491065, + "learning_rate": 1.7241379310344828e-05, + "loss": 0.9348, + "step": 50 + }, + { + "epoch": 0.08002746040307948, + "grad_norm": 1.1067533114051213, + "learning_rate": 1.7586206896551724e-05, + "loss": 0.9473, + "step": 51 + }, + { + "epoch": 0.08159662629333594, + "grad_norm": 0.8400328281550804, + "learning_rate": 1.7931034482758623e-05, + "loss": 0.9301, + "step": 52 + }, + { + "epoch": 0.08316579218359241, + "grad_norm": 0.8370778003878797, + "learning_rate": 1.827586206896552e-05, + "loss": 0.9317, + "step": 53 + }, + { + "epoch": 0.08473495807384887, + "grad_norm": 0.8908306556589923, + "learning_rate": 1.8620689655172415e-05, + "loss": 0.9133, + "step": 54 + }, + { + "epoch": 0.08630412396410533, + "grad_norm": 0.83407744299919, + "learning_rate": 1.896551724137931e-05, + "loss": 0.9302, + "step": 55 + }, + { + "epoch": 0.0878732898543618, + "grad_norm": 0.7635292113005164, + "learning_rate": 1.931034482758621e-05, + "loss": 0.9181, + "step": 56 + }, + { + "epoch": 0.08944245574461825, + "grad_norm": 0.7652021267207634, + "learning_rate": 1.9655172413793106e-05, + "loss": 0.8823, + "step": 57 + }, + { + "epoch": 0.09101162163487471, + "grad_norm": 0.8904272775089193, + "learning_rate": 2e-05, + "loss": 0.9123, + "step": 58 + }, + { + "epoch": 0.09258078752513117, + "grad_norm": 0.8381840657381086, + "learning_rate": 1.9999985627947104e-05, + "loss": 0.9399, + "step": 59 + }, + { + "epoch": 0.09414995341538764, + "grad_norm": 0.7381922221059936, + "learning_rate": 1.9999942511829714e-05, + "loss": 0.8994, + "step": 60 + }, + { + "epoch": 0.0957191193056441, + "grad_norm": 0.7611813511178191, + "learning_rate": 1.999987065177177e-05, + "loss": 0.9294, + "step": 61 + }, + { + "epoch": 0.09728828519590055, + "grad_norm": 0.7566970543114174, + "learning_rate": 1.9999770047979828e-05, + "loss": 0.9168, + "step": 62 + }, + { + "epoch": 0.09885745108615701, + "grad_norm": 0.7454082428140971, + "learning_rate": 1.9999640700743063e-05, + "loss": 0.9244, + "step": 63 + }, + { + "epoch": 0.10042661697641347, + "grad_norm": 0.723587008022164, + "learning_rate": 1.9999482610433275e-05, + "loss": 0.9097, + "step": 64 + }, + { + "epoch": 0.10199578286666994, + "grad_norm": 0.7751102363742651, + "learning_rate": 1.999929577750487e-05, + "loss": 0.9254, + "step": 65 + }, + { + "epoch": 0.1035649487569264, + "grad_norm": 0.7564755143947245, + "learning_rate": 1.99990802024949e-05, + "loss": 0.9375, + "step": 66 + }, + { + "epoch": 0.10513411464718286, + "grad_norm": 0.8377969755997268, + "learning_rate": 1.9998835886022997e-05, + "loss": 0.9067, + "step": 67 + }, + { + "epoch": 0.10670328053743931, + "grad_norm": 0.8026025545637548, + "learning_rate": 1.999856282879144e-05, + "loss": 0.8952, + "step": 68 + }, + { + "epoch": 0.10827244642769578, + "grad_norm": 0.7015852417445009, + "learning_rate": 1.9998261031585104e-05, + "loss": 0.9073, + "step": 69 + }, + { + "epoch": 0.10984161231795224, + "grad_norm": 0.8132394285529749, + "learning_rate": 1.999793049527148e-05, + "loss": 0.9144, + "step": 70 + }, + { + "epoch": 0.1114107782082087, + "grad_norm": 0.7960059801435135, + "learning_rate": 1.999757122080066e-05, + "loss": 0.8968, + "step": 71 + }, + { + "epoch": 0.11297994409846517, + "grad_norm": 0.783264987001189, + "learning_rate": 1.999718320920535e-05, + "loss": 0.8967, + "step": 72 + }, + { + "epoch": 0.11454910998872161, + "grad_norm": 0.6914436170942413, + "learning_rate": 1.9996766461600855e-05, + "loss": 0.9005, + "step": 73 + }, + { + "epoch": 0.11611827587897808, + "grad_norm": 0.7636496635969408, + "learning_rate": 1.9996320979185074e-05, + "loss": 0.9016, + "step": 74 + }, + { + "epoch": 0.11768744176923454, + "grad_norm": 0.7664674319956424, + "learning_rate": 1.9995846763238514e-05, + "loss": 0.9106, + "step": 75 + }, + { + "epoch": 0.119256607659491, + "grad_norm": 0.7641192104240221, + "learning_rate": 1.999534381512426e-05, + "loss": 0.9179, + "step": 76 + }, + { + "epoch": 0.12082577354974747, + "grad_norm": 0.6854691940498465, + "learning_rate": 1.9994812136287994e-05, + "loss": 0.8938, + "step": 77 + }, + { + "epoch": 0.12239493944000392, + "grad_norm": 0.8147579468081143, + "learning_rate": 1.9994251728257978e-05, + "loss": 0.906, + "step": 78 + }, + { + "epoch": 0.12396410533026038, + "grad_norm": 0.7927705378197664, + "learning_rate": 1.9993662592645057e-05, + "loss": 0.899, + "step": 79 + }, + { + "epoch": 0.12553327122051686, + "grad_norm": 0.6887191201827737, + "learning_rate": 1.999304473114265e-05, + "loss": 0.8593, + "step": 80 + }, + { + "epoch": 0.1271024371107733, + "grad_norm": 0.7761908068261424, + "learning_rate": 1.9992398145526738e-05, + "loss": 0.9124, + "step": 81 + }, + { + "epoch": 0.12867160300102976, + "grad_norm": 0.770274666552246, + "learning_rate": 1.999172283765588e-05, + "loss": 0.9079, + "step": 82 + }, + { + "epoch": 0.13024076889128622, + "grad_norm": 0.7241292852716699, + "learning_rate": 1.999101880947118e-05, + "loss": 0.9007, + "step": 83 + }, + { + "epoch": 0.13180993478154268, + "grad_norm": 0.7622797843473729, + "learning_rate": 1.9990286062996316e-05, + "loss": 0.877, + "step": 84 + }, + { + "epoch": 0.13337910067179914, + "grad_norm": 0.7786328812817573, + "learning_rate": 1.9989524600337493e-05, + "loss": 0.8843, + "step": 85 + }, + { + "epoch": 0.1349482665620556, + "grad_norm": 0.7229907044002635, + "learning_rate": 1.998873442368347e-05, + "loss": 0.8947, + "step": 86 + }, + { + "epoch": 0.13651743245231207, + "grad_norm": 0.6751340757105616, + "learning_rate": 1.998791553530554e-05, + "loss": 0.8847, + "step": 87 + }, + { + "epoch": 0.13808659834256853, + "grad_norm": 0.7662400723909407, + "learning_rate": 1.9987067937557527e-05, + "loss": 0.9022, + "step": 88 + }, + { + "epoch": 0.139655764232825, + "grad_norm": 0.7538616345769723, + "learning_rate": 1.9986191632875768e-05, + "loss": 0.8758, + "step": 89 + }, + { + "epoch": 0.14122493012308146, + "grad_norm": 0.6826897699341007, + "learning_rate": 1.9985286623779126e-05, + "loss": 0.89, + "step": 90 + }, + { + "epoch": 0.14279409601333792, + "grad_norm": 0.7905043333256622, + "learning_rate": 1.9984352912868973e-05, + "loss": 0.8574, + "step": 91 + }, + { + "epoch": 0.14436326190359436, + "grad_norm": 0.7367870689453241, + "learning_rate": 1.9983390502829168e-05, + "loss": 0.8601, + "step": 92 + }, + { + "epoch": 0.14593242779385082, + "grad_norm": 0.7362573090751993, + "learning_rate": 1.998239939642608e-05, + "loss": 0.8926, + "step": 93 + }, + { + "epoch": 0.14750159368410728, + "grad_norm": 0.7226330158275116, + "learning_rate": 1.998137959650855e-05, + "loss": 0.9153, + "step": 94 + }, + { + "epoch": 0.14907075957436375, + "grad_norm": 0.730058433948825, + "learning_rate": 1.9980331106007912e-05, + "loss": 0.8993, + "step": 95 + }, + { + "epoch": 0.1506399254646202, + "grad_norm": 0.753974038787166, + "learning_rate": 1.9979253927937948e-05, + "loss": 0.9024, + "step": 96 + }, + { + "epoch": 0.15220909135487667, + "grad_norm": 0.7227900960487232, + "learning_rate": 1.9978148065394917e-05, + "loss": 0.8931, + "step": 97 + }, + { + "epoch": 0.15377825724513314, + "grad_norm": 0.7433440664504725, + "learning_rate": 1.9977013521557516e-05, + "loss": 0.8645, + "step": 98 + }, + { + "epoch": 0.1553474231353896, + "grad_norm": 0.7077760276480354, + "learning_rate": 1.9975850299686894e-05, + "loss": 0.8559, + "step": 99 + }, + { + "epoch": 0.15691658902564606, + "grad_norm": 0.7576132903661229, + "learning_rate": 1.9974658403126624e-05, + "loss": 0.8759, + "step": 100 + }, + { + "epoch": 0.15848575491590253, + "grad_norm": 0.7240351543413873, + "learning_rate": 1.997343783530271e-05, + "loss": 0.8694, + "step": 101 + }, + { + "epoch": 0.16005492080615896, + "grad_norm": 0.7254639461474256, + "learning_rate": 1.9972188599723564e-05, + "loss": 0.8989, + "step": 102 + }, + { + "epoch": 0.16162408669641543, + "grad_norm": 0.7851603911250958, + "learning_rate": 1.997091069998e-05, + "loss": 0.8763, + "step": 103 + }, + { + "epoch": 0.1631932525866719, + "grad_norm": 0.7705234916818976, + "learning_rate": 1.9969604139745227e-05, + "loss": 0.8642, + "step": 104 + }, + { + "epoch": 0.16476241847692835, + "grad_norm": 0.7699032365333096, + "learning_rate": 1.9968268922774842e-05, + "loss": 0.8931, + "step": 105 + }, + { + "epoch": 0.16633158436718481, + "grad_norm": 0.8631933068348875, + "learning_rate": 1.99669050529068e-05, + "loss": 0.8982, + "step": 106 + }, + { + "epoch": 0.16790075025744128, + "grad_norm": 0.8233206296932418, + "learning_rate": 1.9965512534061426e-05, + "loss": 0.8745, + "step": 107 + }, + { + "epoch": 0.16946991614769774, + "grad_norm": 0.8348117365026448, + "learning_rate": 1.9964091370241384e-05, + "loss": 0.8942, + "step": 108 + }, + { + "epoch": 0.1710390820379542, + "grad_norm": 0.7198099494003858, + "learning_rate": 1.9962641565531694e-05, + "loss": 0.8899, + "step": 109 + }, + { + "epoch": 0.17260824792821067, + "grad_norm": 0.8670933610588272, + "learning_rate": 1.996116312409968e-05, + "loss": 0.8812, + "step": 110 + }, + { + "epoch": 0.17417741381846713, + "grad_norm": 0.8491765986431412, + "learning_rate": 1.9959656050194994e-05, + "loss": 0.8715, + "step": 111 + }, + { + "epoch": 0.1757465797087236, + "grad_norm": 0.7046196782092339, + "learning_rate": 1.9958120348149585e-05, + "loss": 0.8721, + "step": 112 + }, + { + "epoch": 0.17731574559898003, + "grad_norm": 0.7369560395354052, + "learning_rate": 1.9956556022377693e-05, + "loss": 0.872, + "step": 113 + }, + { + "epoch": 0.1788849114892365, + "grad_norm": 0.7802191792216598, + "learning_rate": 1.995496307737583e-05, + "loss": 0.8833, + "step": 114 + }, + { + "epoch": 0.18045407737949296, + "grad_norm": 0.816528253592501, + "learning_rate": 1.9953341517722773e-05, + "loss": 0.8688, + "step": 115 + }, + { + "epoch": 0.18202324326974942, + "grad_norm": 0.7298517686996712, + "learning_rate": 1.9951691348079553e-05, + "loss": 0.8691, + "step": 116 + }, + { + "epoch": 0.18359240916000588, + "grad_norm": 0.7604405768637559, + "learning_rate": 1.995001257318943e-05, + "loss": 0.8786, + "step": 117 + }, + { + "epoch": 0.18516157505026234, + "grad_norm": 0.7836159442393097, + "learning_rate": 1.99483051978779e-05, + "loss": 0.8649, + "step": 118 + }, + { + "epoch": 0.1867307409405188, + "grad_norm": 0.7299028152447427, + "learning_rate": 1.994656922705266e-05, + "loss": 0.856, + "step": 119 + }, + { + "epoch": 0.18829990683077527, + "grad_norm": 0.7548713186339182, + "learning_rate": 1.9944804665703593e-05, + "loss": 0.8823, + "step": 120 + }, + { + "epoch": 0.18986907272103173, + "grad_norm": 0.7573653085180222, + "learning_rate": 1.994301151890278e-05, + "loss": 0.8675, + "step": 121 + }, + { + "epoch": 0.1914382386112882, + "grad_norm": 0.8885442741020362, + "learning_rate": 1.9941189791804466e-05, + "loss": 0.8886, + "step": 122 + }, + { + "epoch": 0.19300740450154466, + "grad_norm": 0.7381405086867769, + "learning_rate": 1.9939339489645034e-05, + "loss": 0.8717, + "step": 123 + }, + { + "epoch": 0.1945765703918011, + "grad_norm": 0.7463307222711407, + "learning_rate": 1.9937460617743013e-05, + "loss": 0.8744, + "step": 124 + }, + { + "epoch": 0.19614573628205756, + "grad_norm": 0.8654609652602285, + "learning_rate": 1.993555318149906e-05, + "loss": 0.889, + "step": 125 + }, + { + "epoch": 0.19771490217231402, + "grad_norm": 0.7849912689324775, + "learning_rate": 1.9933617186395917e-05, + "loss": 0.8762, + "step": 126 + }, + { + "epoch": 0.19928406806257049, + "grad_norm": 0.8002241791369005, + "learning_rate": 1.9931652637998443e-05, + "loss": 0.8751, + "step": 127 + }, + { + "epoch": 0.20085323395282695, + "grad_norm": 0.7068996354932181, + "learning_rate": 1.9929659541953548e-05, + "loss": 0.8712, + "step": 128 + }, + { + "epoch": 0.2024223998430834, + "grad_norm": 0.7889080948860275, + "learning_rate": 1.992763790399021e-05, + "loss": 0.859, + "step": 129 + }, + { + "epoch": 0.20399156573333987, + "grad_norm": 0.7822335872655365, + "learning_rate": 1.9925587729919447e-05, + "loss": 0.8811, + "step": 130 + }, + { + "epoch": 0.20556073162359634, + "grad_norm": 0.8059774406273587, + "learning_rate": 1.99235090256343e-05, + "loss": 0.8858, + "step": 131 + }, + { + "epoch": 0.2071298975138528, + "grad_norm": 0.7540895868089319, + "learning_rate": 1.992140179710982e-05, + "loss": 0.8875, + "step": 132 + }, + { + "epoch": 0.20869906340410926, + "grad_norm": 0.7846220864667804, + "learning_rate": 1.991926605040305e-05, + "loss": 0.8458, + "step": 133 + }, + { + "epoch": 0.21026822929436573, + "grad_norm": 0.7047087658235964, + "learning_rate": 1.9917101791652997e-05, + "loss": 0.8738, + "step": 134 + }, + { + "epoch": 0.21183739518462216, + "grad_norm": 0.7196516438286433, + "learning_rate": 1.991490902708063e-05, + "loss": 0.8692, + "step": 135 + }, + { + "epoch": 0.21340656107487863, + "grad_norm": 0.7883176612843322, + "learning_rate": 1.9912687762988855e-05, + "loss": 0.879, + "step": 136 + }, + { + "epoch": 0.2149757269651351, + "grad_norm": 0.6751868528232794, + "learning_rate": 1.9910438005762503e-05, + "loss": 0.8713, + "step": 137 + }, + { + "epoch": 0.21654489285539155, + "grad_norm": 0.7266397934419208, + "learning_rate": 1.9908159761868292e-05, + "loss": 0.8769, + "step": 138 + }, + { + "epoch": 0.21811405874564802, + "grad_norm": 0.7471264193008941, + "learning_rate": 1.9905853037854834e-05, + "loss": 0.8802, + "step": 139 + }, + { + "epoch": 0.21968322463590448, + "grad_norm": 0.715724210142443, + "learning_rate": 1.9903517840352605e-05, + "loss": 0.8587, + "step": 140 + }, + { + "epoch": 0.22125239052616094, + "grad_norm": 0.7561328229150864, + "learning_rate": 1.9901154176073914e-05, + "loss": 0.8683, + "step": 141 + }, + { + "epoch": 0.2228215564164174, + "grad_norm": 0.686487994915129, + "learning_rate": 1.9898762051812906e-05, + "loss": 0.8487, + "step": 142 + }, + { + "epoch": 0.22439072230667387, + "grad_norm": 0.8089172767827801, + "learning_rate": 1.9896341474445526e-05, + "loss": 0.8892, + "step": 143 + }, + { + "epoch": 0.22595988819693033, + "grad_norm": 0.8740625586916276, + "learning_rate": 1.989389245092951e-05, + "loss": 0.8639, + "step": 144 + }, + { + "epoch": 0.22752905408718677, + "grad_norm": 0.7390304199448842, + "learning_rate": 1.9891414988304357e-05, + "loss": 0.8464, + "step": 145 + }, + { + "epoch": 0.22909821997744323, + "grad_norm": 0.8288692386757024, + "learning_rate": 1.988890909369131e-05, + "loss": 0.8557, + "step": 146 + }, + { + "epoch": 0.2306673858676997, + "grad_norm": 0.8406054645692689, + "learning_rate": 1.988637477429334e-05, + "loss": 0.867, + "step": 147 + }, + { + "epoch": 0.23223655175795616, + "grad_norm": 0.686442460999749, + "learning_rate": 1.9883812037395126e-05, + "loss": 0.8862, + "step": 148 + }, + { + "epoch": 0.23380571764821262, + "grad_norm": 0.8295574504292643, + "learning_rate": 1.988122089036302e-05, + "loss": 0.8442, + "step": 149 + }, + { + "epoch": 0.23537488353846908, + "grad_norm": 0.6853562810053988, + "learning_rate": 1.987860134064504e-05, + "loss": 0.8517, + "step": 150 + }, + { + "epoch": 0.23694404942872554, + "grad_norm": 0.7775758820403763, + "learning_rate": 1.987595339577085e-05, + "loss": 0.8663, + "step": 151 + }, + { + "epoch": 0.238513215318982, + "grad_norm": 0.7067263950544675, + "learning_rate": 1.9873277063351737e-05, + "loss": 0.8619, + "step": 152 + }, + { + "epoch": 0.24008238120923847, + "grad_norm": 0.8089442938328503, + "learning_rate": 1.9870572351080573e-05, + "loss": 0.8715, + "step": 153 + }, + { + "epoch": 0.24165154709949493, + "grad_norm": 0.8755005657177319, + "learning_rate": 1.9867839266731813e-05, + "loss": 0.8681, + "step": 154 + }, + { + "epoch": 0.2432207129897514, + "grad_norm": 0.7162575447869155, + "learning_rate": 1.9865077818161464e-05, + "loss": 0.8515, + "step": 155 + }, + { + "epoch": 0.24478987888000783, + "grad_norm": 0.7787457082502274, + "learning_rate": 1.9862288013307062e-05, + "loss": 0.8871, + "step": 156 + }, + { + "epoch": 0.2463590447702643, + "grad_norm": 0.8095480592704093, + "learning_rate": 1.9859469860187654e-05, + "loss": 0.8641, + "step": 157 + }, + { + "epoch": 0.24792821066052076, + "grad_norm": 0.8070091072897313, + "learning_rate": 1.9856623366903765e-05, + "loss": 0.8728, + "step": 158 + }, + { + "epoch": 0.24949737655077722, + "grad_norm": 0.8021783356149979, + "learning_rate": 1.9853748541637387e-05, + "loss": 0.8826, + "step": 159 + }, + { + "epoch": 0.2510665424410337, + "grad_norm": 0.886216903978757, + "learning_rate": 1.985084539265195e-05, + "loss": 0.8672, + "step": 160 + }, + { + "epoch": 0.2526357083312901, + "grad_norm": 0.7893526987955237, + "learning_rate": 1.9847913928292297e-05, + "loss": 0.8408, + "step": 161 + }, + { + "epoch": 0.2542048742215466, + "grad_norm": 0.7433259267981747, + "learning_rate": 1.9844954156984656e-05, + "loss": 0.8467, + "step": 162 + }, + { + "epoch": 0.25577404011180305, + "grad_norm": 0.7949982916591, + "learning_rate": 1.9841966087236626e-05, + "loss": 0.8534, + "step": 163 + }, + { + "epoch": 0.2573432060020595, + "grad_norm": 0.75524371392311, + "learning_rate": 1.983894972763715e-05, + "loss": 0.8985, + "step": 164 + }, + { + "epoch": 0.258912371892316, + "grad_norm": 0.7557283683559115, + "learning_rate": 1.983590508685648e-05, + "loss": 0.863, + "step": 165 + }, + { + "epoch": 0.26048153778257244, + "grad_norm": 0.7663216799290998, + "learning_rate": 1.9832832173646164e-05, + "loss": 0.8538, + "step": 166 + }, + { + "epoch": 0.2620507036728289, + "grad_norm": 0.7646094386491168, + "learning_rate": 1.982973099683902e-05, + "loss": 0.8451, + "step": 167 + }, + { + "epoch": 0.26361986956308536, + "grad_norm": 0.7370525737792721, + "learning_rate": 1.98266015653491e-05, + "loss": 0.8488, + "step": 168 + }, + { + "epoch": 0.2651890354533418, + "grad_norm": 0.7807270711651909, + "learning_rate": 1.9823443888171676e-05, + "loss": 0.8916, + "step": 169 + }, + { + "epoch": 0.2667582013435983, + "grad_norm": 0.7585536651749992, + "learning_rate": 1.9820257974383205e-05, + "loss": 0.8711, + "step": 170 + }, + { + "epoch": 0.26832736723385475, + "grad_norm": 0.7660249493583986, + "learning_rate": 1.9817043833141317e-05, + "loss": 0.8759, + "step": 171 + }, + { + "epoch": 0.2698965331241112, + "grad_norm": 0.9119784301784903, + "learning_rate": 1.981380147368477e-05, + "loss": 0.8904, + "step": 172 + }, + { + "epoch": 0.2714656990143677, + "grad_norm": 0.6806506174100767, + "learning_rate": 1.9810530905333437e-05, + "loss": 0.8657, + "step": 173 + }, + { + "epoch": 0.27303486490462414, + "grad_norm": 0.7868453586139633, + "learning_rate": 1.980723213748828e-05, + "loss": 0.8823, + "step": 174 + }, + { + "epoch": 0.2746040307948806, + "grad_norm": 0.8644204420772899, + "learning_rate": 1.9803905179631303e-05, + "loss": 0.8546, + "step": 175 + }, + { + "epoch": 0.27617319668513707, + "grad_norm": 0.7160963839532088, + "learning_rate": 1.9800550041325553e-05, + "loss": 0.8538, + "step": 176 + }, + { + "epoch": 0.27774236257539353, + "grad_norm": 0.7636955168568258, + "learning_rate": 1.9797166732215078e-05, + "loss": 0.8687, + "step": 177 + }, + { + "epoch": 0.27931152846565, + "grad_norm": 0.81733852619721, + "learning_rate": 1.979375526202489e-05, + "loss": 0.8541, + "step": 178 + }, + { + "epoch": 0.28088069435590646, + "grad_norm": 0.8057135487952796, + "learning_rate": 1.9790315640560962e-05, + "loss": 0.8346, + "step": 179 + }, + { + "epoch": 0.2824498602461629, + "grad_norm": 0.7793925721093384, + "learning_rate": 1.9786847877710177e-05, + "loss": 0.8558, + "step": 180 + }, + { + "epoch": 0.2840190261364194, + "grad_norm": 0.7542240585851123, + "learning_rate": 1.9783351983440306e-05, + "loss": 0.8648, + "step": 181 + }, + { + "epoch": 0.28558819202667585, + "grad_norm": 0.7354379173828268, + "learning_rate": 1.9779827967799985e-05, + "loss": 0.8538, + "step": 182 + }, + { + "epoch": 0.28715735791693225, + "grad_norm": 0.7651881586610363, + "learning_rate": 1.9776275840918685e-05, + "loss": 0.8342, + "step": 183 + }, + { + "epoch": 0.2887265238071887, + "grad_norm": 0.9027663878612077, + "learning_rate": 1.9772695613006676e-05, + "loss": 0.861, + "step": 184 + }, + { + "epoch": 0.2902956896974452, + "grad_norm": 0.773452599555622, + "learning_rate": 1.9769087294355006e-05, + "loss": 0.8578, + "step": 185 + }, + { + "epoch": 0.29186485558770164, + "grad_norm": 0.7674065376911422, + "learning_rate": 1.9765450895335454e-05, + "loss": 0.8403, + "step": 186 + }, + { + "epoch": 0.2934340214779581, + "grad_norm": 0.8319274210080099, + "learning_rate": 1.9761786426400532e-05, + "loss": 0.8558, + "step": 187 + }, + { + "epoch": 0.29500318736821457, + "grad_norm": 0.748304024100806, + "learning_rate": 1.975809389808343e-05, + "loss": 0.8521, + "step": 188 + }, + { + "epoch": 0.29657235325847103, + "grad_norm": 0.7667066312347395, + "learning_rate": 1.9754373320997987e-05, + "loss": 0.8744, + "step": 189 + }, + { + "epoch": 0.2981415191487275, + "grad_norm": 0.7863025391114771, + "learning_rate": 1.9750624705838666e-05, + "loss": 0.8575, + "step": 190 + }, + { + "epoch": 0.29971068503898396, + "grad_norm": 0.7808819255998675, + "learning_rate": 1.974684806338053e-05, + "loss": 0.8417, + "step": 191 + }, + { + "epoch": 0.3012798509292404, + "grad_norm": 0.677894377823736, + "learning_rate": 1.9743043404479203e-05, + "loss": 0.8646, + "step": 192 + }, + { + "epoch": 0.3028490168194969, + "grad_norm": 0.7694146043646329, + "learning_rate": 1.9739210740070833e-05, + "loss": 0.8662, + "step": 193 + }, + { + "epoch": 0.30441818270975335, + "grad_norm": 0.9255283581381419, + "learning_rate": 1.973535008117207e-05, + "loss": 0.843, + "step": 194 + }, + { + "epoch": 0.3059873486000098, + "grad_norm": 0.6817104055346374, + "learning_rate": 1.9731461438880034e-05, + "loss": 0.83, + "step": 195 + }, + { + "epoch": 0.3075565144902663, + "grad_norm": 0.8302031790838414, + "learning_rate": 1.972754482437228e-05, + "loss": 0.8469, + "step": 196 + }, + { + "epoch": 0.30912568038052274, + "grad_norm": 0.8489783993839521, + "learning_rate": 1.9723600248906766e-05, + "loss": 0.8591, + "step": 197 + }, + { + "epoch": 0.3106948462707792, + "grad_norm": 0.813303706179681, + "learning_rate": 1.9719627723821818e-05, + "loss": 0.8701, + "step": 198 + }, + { + "epoch": 0.31226401216103566, + "grad_norm": 0.8224094205940473, + "learning_rate": 1.971562726053611e-05, + "loss": 0.8514, + "step": 199 + }, + { + "epoch": 0.3138331780512921, + "grad_norm": 0.768413372749551, + "learning_rate": 1.971159887054862e-05, + "loss": 0.8391, + "step": 200 + }, + { + "epoch": 0.3154023439415486, + "grad_norm": 0.9123999473550879, + "learning_rate": 1.970754256543858e-05, + "loss": 0.8549, + "step": 201 + }, + { + "epoch": 0.31697150983180505, + "grad_norm": 0.7812643761892657, + "learning_rate": 1.9703458356865484e-05, + "loss": 0.8523, + "step": 202 + }, + { + "epoch": 0.3185406757220615, + "grad_norm": 0.7040191756905371, + "learning_rate": 1.9699346256569033e-05, + "loss": 0.8478, + "step": 203 + }, + { + "epoch": 0.3201098416123179, + "grad_norm": 0.7115085906671391, + "learning_rate": 1.9695206276369077e-05, + "loss": 0.8522, + "step": 204 + }, + { + "epoch": 0.3216790075025744, + "grad_norm": 0.8202197104252852, + "learning_rate": 1.969103842816563e-05, + "loss": 0.8461, + "step": 205 + }, + { + "epoch": 0.32324817339283085, + "grad_norm": 0.7631221688538243, + "learning_rate": 1.968684272393879e-05, + "loss": 0.8708, + "step": 206 + }, + { + "epoch": 0.3248173392830873, + "grad_norm": 0.7388642425826576, + "learning_rate": 1.968261917574874e-05, + "loss": 0.8636, + "step": 207 + }, + { + "epoch": 0.3263865051733438, + "grad_norm": 0.7633365283209427, + "learning_rate": 1.967836779573569e-05, + "loss": 0.8417, + "step": 208 + }, + { + "epoch": 0.32795567106360024, + "grad_norm": 0.7832600718655486, + "learning_rate": 1.9674088596119853e-05, + "loss": 0.8552, + "step": 209 + }, + { + "epoch": 0.3295248369538567, + "grad_norm": 0.8340710850147682, + "learning_rate": 1.96697815892014e-05, + "loss": 0.8319, + "step": 210 + }, + { + "epoch": 0.33109400284411317, + "grad_norm": 0.7636784436230482, + "learning_rate": 1.9665446787360444e-05, + "loss": 0.8688, + "step": 211 + }, + { + "epoch": 0.33266316873436963, + "grad_norm": 0.842898500420848, + "learning_rate": 1.9661084203056983e-05, + "loss": 0.8472, + "step": 212 + }, + { + "epoch": 0.3342323346246261, + "grad_norm": 0.7981515604884727, + "learning_rate": 1.965669384883087e-05, + "loss": 0.8474, + "step": 213 + }, + { + "epoch": 0.33580150051488256, + "grad_norm": 0.7248564359387966, + "learning_rate": 1.9652275737301797e-05, + "loss": 0.8688, + "step": 214 + }, + { + "epoch": 0.337370666405139, + "grad_norm": 0.9367555688235145, + "learning_rate": 1.9647829881169223e-05, + "loss": 0.8414, + "step": 215 + }, + { + "epoch": 0.3389398322953955, + "grad_norm": 0.7512923513745018, + "learning_rate": 1.9643356293212363e-05, + "loss": 0.8381, + "step": 216 + }, + { + "epoch": 0.34050899818565195, + "grad_norm": 0.8292116707814458, + "learning_rate": 1.963885498629015e-05, + "loss": 0.8672, + "step": 217 + }, + { + "epoch": 0.3420781640759084, + "grad_norm": 0.7571748129831849, + "learning_rate": 1.9634325973341183e-05, + "loss": 0.8687, + "step": 218 + }, + { + "epoch": 0.34364732996616487, + "grad_norm": 0.8033335331307723, + "learning_rate": 1.962976926738371e-05, + "loss": 0.8503, + "step": 219 + }, + { + "epoch": 0.34521649585642133, + "grad_norm": 0.7702958013328455, + "learning_rate": 1.962518488151557e-05, + "loss": 0.8572, + "step": 220 + }, + { + "epoch": 0.3467856617466778, + "grad_norm": 0.7773309211600538, + "learning_rate": 1.9620572828914177e-05, + "loss": 0.8564, + "step": 221 + }, + { + "epoch": 0.34835482763693426, + "grad_norm": 0.7172600760847799, + "learning_rate": 1.9615933122836454e-05, + "loss": 0.8574, + "step": 222 + }, + { + "epoch": 0.3499239935271907, + "grad_norm": 0.8070121659356566, + "learning_rate": 1.961126577661883e-05, + "loss": 0.8812, + "step": 223 + }, + { + "epoch": 0.3514931594174472, + "grad_norm": 0.7659770573898073, + "learning_rate": 1.960657080367717e-05, + "loss": 0.8211, + "step": 224 + }, + { + "epoch": 0.35306232530770365, + "grad_norm": 0.7005613157252402, + "learning_rate": 1.9601848217506755e-05, + "loss": 0.8629, + "step": 225 + }, + { + "epoch": 0.35463149119796006, + "grad_norm": 0.7772168734601813, + "learning_rate": 1.9597098031682238e-05, + "loss": 0.847, + "step": 226 + }, + { + "epoch": 0.3562006570882165, + "grad_norm": 0.7242043799321884, + "learning_rate": 1.9592320259857603e-05, + "loss": 0.8416, + "step": 227 + }, + { + "epoch": 0.357769822978473, + "grad_norm": 0.7007408152068441, + "learning_rate": 1.9587514915766124e-05, + "loss": 0.8443, + "step": 228 + }, + { + "epoch": 0.35933898886872945, + "grad_norm": 0.7071228511997497, + "learning_rate": 1.9582682013220337e-05, + "loss": 0.8788, + "step": 229 + }, + { + "epoch": 0.3609081547589859, + "grad_norm": 0.7185437861339777, + "learning_rate": 1.957782156611199e-05, + "loss": 0.8523, + "step": 230 + }, + { + "epoch": 0.3624773206492424, + "grad_norm": 0.7472842949489382, + "learning_rate": 1.9572933588411997e-05, + "loss": 0.848, + "step": 231 + }, + { + "epoch": 0.36404648653949884, + "grad_norm": 0.775608056134747, + "learning_rate": 1.9568018094170415e-05, + "loss": 0.8396, + "step": 232 + }, + { + "epoch": 0.3656156524297553, + "grad_norm": 0.7521110831245076, + "learning_rate": 1.9563075097516397e-05, + "loss": 0.8264, + "step": 233 + }, + { + "epoch": 0.36718481832001176, + "grad_norm": 0.7901869260162981, + "learning_rate": 1.9558104612658137e-05, + "loss": 0.871, + "step": 234 + }, + { + "epoch": 0.3687539842102682, + "grad_norm": 0.8020075798033522, + "learning_rate": 1.955310665388286e-05, + "loss": 0.8172, + "step": 235 + }, + { + "epoch": 0.3703231501005247, + "grad_norm": 0.7891001984416371, + "learning_rate": 1.954808123555674e-05, + "loss": 0.8221, + "step": 236 + }, + { + "epoch": 0.37189231599078115, + "grad_norm": 0.7864844060886398, + "learning_rate": 1.9543028372124903e-05, + "loss": 0.8435, + "step": 237 + }, + { + "epoch": 0.3734614818810376, + "grad_norm": 0.8322594692248915, + "learning_rate": 1.9537948078111348e-05, + "loss": 0.8591, + "step": 238 + }, + { + "epoch": 0.3750306477712941, + "grad_norm": 0.7861781276737043, + "learning_rate": 1.953284036811893e-05, + "loss": 0.8424, + "step": 239 + }, + { + "epoch": 0.37659981366155054, + "grad_norm": 0.7587824109421507, + "learning_rate": 1.9527705256829293e-05, + "loss": 0.8455, + "step": 240 + }, + { + "epoch": 0.378168979551807, + "grad_norm": 0.8054301495528072, + "learning_rate": 1.9522542759002866e-05, + "loss": 0.837, + "step": 241 + }, + { + "epoch": 0.37973814544206347, + "grad_norm": 0.7435044879925587, + "learning_rate": 1.9517352889478787e-05, + "loss": 0.845, + "step": 242 + }, + { + "epoch": 0.38130731133231993, + "grad_norm": 0.7020482850404819, + "learning_rate": 1.951213566317487e-05, + "loss": 0.8352, + "step": 243 + }, + { + "epoch": 0.3828764772225764, + "grad_norm": 0.81693994407979, + "learning_rate": 1.9506891095087563e-05, + "loss": 0.8346, + "step": 244 + }, + { + "epoch": 0.38444564311283286, + "grad_norm": 0.7303764658558978, + "learning_rate": 1.950161920029191e-05, + "loss": 0.8578, + "step": 245 + }, + { + "epoch": 0.3860148090030893, + "grad_norm": 0.7351241094383767, + "learning_rate": 1.9496319993941498e-05, + "loss": 0.849, + "step": 246 + }, + { + "epoch": 0.38758397489334573, + "grad_norm": 0.686380690779999, + "learning_rate": 1.949099349126843e-05, + "loss": 0.867, + "step": 247 + }, + { + "epoch": 0.3891531407836022, + "grad_norm": 0.7471915013075717, + "learning_rate": 1.9485639707583255e-05, + "loss": 0.8319, + "step": 248 + }, + { + "epoch": 0.39072230667385865, + "grad_norm": 0.6882834803145461, + "learning_rate": 1.9480258658274947e-05, + "loss": 0.8277, + "step": 249 + }, + { + "epoch": 0.3922914725641151, + "grad_norm": 0.7468679664828046, + "learning_rate": 1.947485035881085e-05, + "loss": 0.8456, + "step": 250 + }, + { + "epoch": 0.3938606384543716, + "grad_norm": 0.6936300092711225, + "learning_rate": 1.946941482473664e-05, + "loss": 0.8439, + "step": 251 + }, + { + "epoch": 0.39542980434462804, + "grad_norm": 0.7452972132793442, + "learning_rate": 1.9463952071676268e-05, + "loss": 0.8529, + "step": 252 + }, + { + "epoch": 0.3969989702348845, + "grad_norm": 0.7041663843901055, + "learning_rate": 1.9458462115331938e-05, + "loss": 0.8463, + "step": 253 + }, + { + "epoch": 0.39856813612514097, + "grad_norm": 0.6960468670599904, + "learning_rate": 1.945294497148403e-05, + "loss": 0.8655, + "step": 254 + }, + { + "epoch": 0.40013730201539743, + "grad_norm": 0.7269589347441181, + "learning_rate": 1.9447400655991086e-05, + "loss": 0.8402, + "step": 255 + }, + { + "epoch": 0.4017064679056539, + "grad_norm": 0.6911247809680555, + "learning_rate": 1.9441829184789745e-05, + "loss": 0.8378, + "step": 256 + }, + { + "epoch": 0.40327563379591036, + "grad_norm": 0.7300455734199899, + "learning_rate": 1.94362305738947e-05, + "loss": 0.8283, + "step": 257 + }, + { + "epoch": 0.4048447996861668, + "grad_norm": 0.6804187941038841, + "learning_rate": 1.9430604839398657e-05, + "loss": 0.8502, + "step": 258 + }, + { + "epoch": 0.4064139655764233, + "grad_norm": 0.6745629125019782, + "learning_rate": 1.942495199747229e-05, + "loss": 0.8309, + "step": 259 + }, + { + "epoch": 0.40798313146667975, + "grad_norm": 0.666356591402976, + "learning_rate": 1.9419272064364186e-05, + "loss": 0.8482, + "step": 260 + }, + { + "epoch": 0.4095522973569362, + "grad_norm": 0.7201969961891354, + "learning_rate": 1.9413565056400804e-05, + "loss": 0.8516, + "step": 261 + }, + { + "epoch": 0.4111214632471927, + "grad_norm": 0.7064391607371447, + "learning_rate": 1.940783098998643e-05, + "loss": 0.858, + "step": 262 + }, + { + "epoch": 0.41269062913744914, + "grad_norm": 0.6844556992776223, + "learning_rate": 1.9402069881603123e-05, + "loss": 0.8503, + "step": 263 + }, + { + "epoch": 0.4142597950277056, + "grad_norm": 0.686600947246657, + "learning_rate": 1.939628174781068e-05, + "loss": 0.8441, + "step": 264 + }, + { + "epoch": 0.41582896091796206, + "grad_norm": 0.6792094536874498, + "learning_rate": 1.939046660524656e-05, + "loss": 0.8286, + "step": 265 + }, + { + "epoch": 0.41739812680821853, + "grad_norm": 0.734167478877529, + "learning_rate": 1.9384624470625884e-05, + "loss": 0.8434, + "step": 266 + }, + { + "epoch": 0.418967292698475, + "grad_norm": 0.654205695446543, + "learning_rate": 1.9378755360741342e-05, + "loss": 0.8177, + "step": 267 + }, + { + "epoch": 0.42053645858873145, + "grad_norm": 0.7225090616344176, + "learning_rate": 1.9372859292463163e-05, + "loss": 0.8503, + "step": 268 + }, + { + "epoch": 0.42210562447898786, + "grad_norm": 0.67515867367939, + "learning_rate": 1.9366936282739067e-05, + "loss": 0.8393, + "step": 269 + }, + { + "epoch": 0.4236747903692443, + "grad_norm": 0.7261627103914131, + "learning_rate": 1.9360986348594226e-05, + "loss": 0.8639, + "step": 270 + }, + { + "epoch": 0.4252439562595008, + "grad_norm": 0.695718762198511, + "learning_rate": 1.935500950713118e-05, + "loss": 0.8422, + "step": 271 + }, + { + "epoch": 0.42681312214975725, + "grad_norm": 0.7195710303151387, + "learning_rate": 1.934900577552983e-05, + "loss": 0.8397, + "step": 272 + }, + { + "epoch": 0.4283822880400137, + "grad_norm": 0.7035679541108324, + "learning_rate": 1.934297517104737e-05, + "loss": 0.8082, + "step": 273 + }, + { + "epoch": 0.4299514539302702, + "grad_norm": 0.7268112865575431, + "learning_rate": 1.9336917711018227e-05, + "loss": 0.8351, + "step": 274 + }, + { + "epoch": 0.43152061982052664, + "grad_norm": 0.6561930178599715, + "learning_rate": 1.9330833412854035e-05, + "loss": 0.8317, + "step": 275 + }, + { + "epoch": 0.4330897857107831, + "grad_norm": 0.845233409356619, + "learning_rate": 1.932472229404356e-05, + "loss": 0.8459, + "step": 276 + }, + { + "epoch": 0.43465895160103957, + "grad_norm": 0.7468477924420288, + "learning_rate": 1.9318584372152668e-05, + "loss": 0.845, + "step": 277 + }, + { + "epoch": 0.43622811749129603, + "grad_norm": 0.6898115886093594, + "learning_rate": 1.9312419664824268e-05, + "loss": 0.8457, + "step": 278 + }, + { + "epoch": 0.4377972833815525, + "grad_norm": 0.74066723201382, + "learning_rate": 1.9306228189778255e-05, + "loss": 0.8355, + "step": 279 + }, + { + "epoch": 0.43936644927180896, + "grad_norm": 0.769753190022015, + "learning_rate": 1.9300009964811475e-05, + "loss": 0.8635, + "step": 280 + }, + { + "epoch": 0.4409356151620654, + "grad_norm": 0.7530379937412007, + "learning_rate": 1.9293765007797662e-05, + "loss": 0.8336, + "step": 281 + }, + { + "epoch": 0.4425047810523219, + "grad_norm": 0.7286877598832755, + "learning_rate": 1.928749333668738e-05, + "loss": 0.8343, + "step": 282 + }, + { + "epoch": 0.44407394694257835, + "grad_norm": 0.7288783062280276, + "learning_rate": 1.928119496950799e-05, + "loss": 0.8067, + "step": 283 + }, + { + "epoch": 0.4456431128328348, + "grad_norm": 0.802597143867939, + "learning_rate": 1.9274869924363585e-05, + "loss": 0.8544, + "step": 284 + }, + { + "epoch": 0.44721227872309127, + "grad_norm": 0.7162852675919648, + "learning_rate": 1.9268518219434943e-05, + "loss": 0.8453, + "step": 285 + }, + { + "epoch": 0.44878144461334774, + "grad_norm": 0.867720949977952, + "learning_rate": 1.9262139872979474e-05, + "loss": 0.8433, + "step": 286 + }, + { + "epoch": 0.4503506105036042, + "grad_norm": 0.797679948164506, + "learning_rate": 1.9255734903331157e-05, + "loss": 0.8304, + "step": 287 + }, + { + "epoch": 0.45191977639386066, + "grad_norm": 0.713966312590489, + "learning_rate": 1.9249303328900505e-05, + "loss": 0.8335, + "step": 288 + }, + { + "epoch": 0.4534889422841171, + "grad_norm": 0.8107308721937179, + "learning_rate": 1.9242845168174514e-05, + "loss": 0.8505, + "step": 289 + }, + { + "epoch": 0.45505810817437353, + "grad_norm": 0.7241037125351435, + "learning_rate": 1.923636043971658e-05, + "loss": 0.843, + "step": 290 + }, + { + "epoch": 0.45662727406463, + "grad_norm": 0.7808231867201284, + "learning_rate": 1.9229849162166478e-05, + "loss": 0.8504, + "step": 291 + }, + { + "epoch": 0.45819643995488646, + "grad_norm": 0.7327029734065018, + "learning_rate": 1.922331135424029e-05, + "loss": 0.8519, + "step": 292 + }, + { + "epoch": 0.4597656058451429, + "grad_norm": 0.8722600730108714, + "learning_rate": 1.921674703473037e-05, + "loss": 0.8213, + "step": 293 + }, + { + "epoch": 0.4613347717353994, + "grad_norm": 0.830604449039856, + "learning_rate": 1.921015622250526e-05, + "loss": 0.8139, + "step": 294 + }, + { + "epoch": 0.46290393762565585, + "grad_norm": 0.7186326357087109, + "learning_rate": 1.920353893650966e-05, + "loss": 0.833, + "step": 295 + }, + { + "epoch": 0.4644731035159123, + "grad_norm": 0.8148732054144233, + "learning_rate": 1.9196895195764363e-05, + "loss": 0.8263, + "step": 296 + }, + { + "epoch": 0.4660422694061688, + "grad_norm": 0.7113937997307276, + "learning_rate": 1.919022501936622e-05, + "loss": 0.8353, + "step": 297 + }, + { + "epoch": 0.46761143529642524, + "grad_norm": 0.6805837993776361, + "learning_rate": 1.918352842648804e-05, + "loss": 0.8519, + "step": 298 + }, + { + "epoch": 0.4691806011866817, + "grad_norm": 0.7755578389831994, + "learning_rate": 1.9176805436378597e-05, + "loss": 0.8234, + "step": 299 + }, + { + "epoch": 0.47074976707693816, + "grad_norm": 0.7456227489277198, + "learning_rate": 1.9170056068362516e-05, + "loss": 0.8304, + "step": 300 + }, + { + "epoch": 0.4723189329671946, + "grad_norm": 0.6758692862571203, + "learning_rate": 1.9163280341840253e-05, + "loss": 0.8354, + "step": 301 + }, + { + "epoch": 0.4738880988574511, + "grad_norm": 0.7940370146646629, + "learning_rate": 1.9156478276288027e-05, + "loss": 0.8422, + "step": 302 + }, + { + "epoch": 0.47545726474770755, + "grad_norm": 0.6963204258292274, + "learning_rate": 1.9149649891257772e-05, + "loss": 0.8248, + "step": 303 + }, + { + "epoch": 0.477026430637964, + "grad_norm": 0.7186445641137688, + "learning_rate": 1.9142795206377066e-05, + "loss": 0.8343, + "step": 304 + }, + { + "epoch": 0.4785955965282205, + "grad_norm": 0.8126238965138781, + "learning_rate": 1.9135914241349088e-05, + "loss": 0.8435, + "step": 305 + }, + { + "epoch": 0.48016476241847694, + "grad_norm": 0.6629313852535808, + "learning_rate": 1.9129007015952556e-05, + "loss": 0.8392, + "step": 306 + }, + { + "epoch": 0.4817339283087334, + "grad_norm": 0.784882838437951, + "learning_rate": 1.9122073550041675e-05, + "loss": 0.833, + "step": 307 + }, + { + "epoch": 0.48330309419898987, + "grad_norm": 0.7791688559441003, + "learning_rate": 1.911511386354607e-05, + "loss": 0.8295, + "step": 308 + }, + { + "epoch": 0.48487226008924633, + "grad_norm": 0.7227436466913426, + "learning_rate": 1.9108127976470737e-05, + "loss": 0.8342, + "step": 309 + }, + { + "epoch": 0.4864414259795028, + "grad_norm": 0.8750790818261531, + "learning_rate": 1.9101115908895985e-05, + "loss": 0.8268, + "step": 310 + }, + { + "epoch": 0.48801059186975926, + "grad_norm": 0.7111097650814941, + "learning_rate": 1.9094077680977377e-05, + "loss": 0.8704, + "step": 311 + }, + { + "epoch": 0.48957975776001567, + "grad_norm": 0.8435025682165305, + "learning_rate": 1.9087013312945668e-05, + "loss": 0.8143, + "step": 312 + }, + { + "epoch": 0.49114892365027213, + "grad_norm": 0.8688751647388246, + "learning_rate": 1.907992282510675e-05, + "loss": 0.8566, + "step": 313 + }, + { + "epoch": 0.4927180895405286, + "grad_norm": 0.801427654894205, + "learning_rate": 1.90728062378416e-05, + "loss": 0.8354, + "step": 314 + }, + { + "epoch": 0.49428725543078506, + "grad_norm": 0.8195367234878244, + "learning_rate": 1.906566357160621e-05, + "loss": 0.8159, + "step": 315 + }, + { + "epoch": 0.4958564213210415, + "grad_norm": 0.883355320234134, + "learning_rate": 1.9058494846931538e-05, + "loss": 0.8253, + "step": 316 + }, + { + "epoch": 0.497425587211298, + "grad_norm": 0.8406215564534029, + "learning_rate": 1.9051300084423433e-05, + "loss": 0.8071, + "step": 317 + }, + { + "epoch": 0.49899475310155444, + "grad_norm": 0.8578724375502428, + "learning_rate": 1.904407930476261e-05, + "loss": 0.8505, + "step": 318 + }, + { + "epoch": 0.500563918991811, + "grad_norm": 0.9793981210398741, + "learning_rate": 1.9036832528704547e-05, + "loss": 0.8615, + "step": 319 + }, + { + "epoch": 0.5021330848820674, + "grad_norm": 0.7779210504068751, + "learning_rate": 1.902955977707945e-05, + "loss": 0.8281, + "step": 320 + }, + { + "epoch": 0.5037022507723239, + "grad_norm": 0.7872790047793906, + "learning_rate": 1.9022261070792197e-05, + "loss": 0.8754, + "step": 321 + }, + { + "epoch": 0.5052714166625802, + "grad_norm": 0.8536393043955611, + "learning_rate": 1.901493643082227e-05, + "loss": 0.8055, + "step": 322 + }, + { + "epoch": 0.5068405825528367, + "grad_norm": 0.8295119413410734, + "learning_rate": 1.900758587822369e-05, + "loss": 0.8266, + "step": 323 + }, + { + "epoch": 0.5084097484430932, + "grad_norm": 0.7784805521191259, + "learning_rate": 1.900020943412496e-05, + "loss": 0.846, + "step": 324 + }, + { + "epoch": 0.5099789143333496, + "grad_norm": 0.8722231513721744, + "learning_rate": 1.8992807119729013e-05, + "loss": 0.8034, + "step": 325 + }, + { + "epoch": 0.5115480802236061, + "grad_norm": 0.7190110457603671, + "learning_rate": 1.8985378956313133e-05, + "loss": 0.8111, + "step": 326 + }, + { + "epoch": 0.5131172461138626, + "grad_norm": 0.8173731238597682, + "learning_rate": 1.8977924965228923e-05, + "loss": 0.8142, + "step": 327 + }, + { + "epoch": 0.514686412004119, + "grad_norm": 0.8855477796622119, + "learning_rate": 1.89704451679022e-05, + "loss": 0.8201, + "step": 328 + }, + { + "epoch": 0.5162555778943755, + "grad_norm": 0.698335340514232, + "learning_rate": 1.8962939585832985e-05, + "loss": 0.8295, + "step": 329 + }, + { + "epoch": 0.517824743784632, + "grad_norm": 0.753903170150091, + "learning_rate": 1.8955408240595396e-05, + "loss": 0.8338, + "step": 330 + }, + { + "epoch": 0.5193939096748884, + "grad_norm": 0.868205977372359, + "learning_rate": 1.894785115383761e-05, + "loss": 0.8303, + "step": 331 + }, + { + "epoch": 0.5209630755651449, + "grad_norm": 0.7253986099083615, + "learning_rate": 1.8940268347281802e-05, + "loss": 0.8258, + "step": 332 + }, + { + "epoch": 0.5225322414554013, + "grad_norm": 0.6871576278756758, + "learning_rate": 1.8932659842724067e-05, + "loss": 0.8416, + "step": 333 + }, + { + "epoch": 0.5241014073456578, + "grad_norm": 0.8083398963531386, + "learning_rate": 1.8925025662034376e-05, + "loss": 0.8347, + "step": 334 + }, + { + "epoch": 0.5256705732359143, + "grad_norm": 0.7667380824139266, + "learning_rate": 1.8917365827156493e-05, + "loss": 0.8313, + "step": 335 + }, + { + "epoch": 0.5272397391261707, + "grad_norm": 0.7210432342675546, + "learning_rate": 1.890968036010793e-05, + "loss": 0.8399, + "step": 336 + }, + { + "epoch": 0.5288089050164272, + "grad_norm": 0.7462258544818293, + "learning_rate": 1.8901969282979882e-05, + "loss": 0.8226, + "step": 337 + }, + { + "epoch": 0.5303780709066837, + "grad_norm": 0.7527879259370438, + "learning_rate": 1.889423261793714e-05, + "loss": 0.8243, + "step": 338 + }, + { + "epoch": 0.5319472367969401, + "grad_norm": 0.7166200704322698, + "learning_rate": 1.888647038721806e-05, + "loss": 0.8257, + "step": 339 + }, + { + "epoch": 0.5335164026871966, + "grad_norm": 0.8800857116890911, + "learning_rate": 1.8878682613134486e-05, + "loss": 0.8309, + "step": 340 + }, + { + "epoch": 0.535085568577453, + "grad_norm": 0.7056883535212769, + "learning_rate": 1.8870869318071667e-05, + "loss": 0.8403, + "step": 341 + }, + { + "epoch": 0.5366547344677095, + "grad_norm": 0.724266957402652, + "learning_rate": 1.886303052448823e-05, + "loss": 0.8411, + "step": 342 + }, + { + "epoch": 0.538223900357966, + "grad_norm": 0.7478114130480105, + "learning_rate": 1.8855166254916082e-05, + "loss": 0.8532, + "step": 343 + }, + { + "epoch": 0.5397930662482224, + "grad_norm": 0.7236268168310761, + "learning_rate": 1.8847276531960363e-05, + "loss": 0.8373, + "step": 344 + }, + { + "epoch": 0.5413622321384789, + "grad_norm": 0.7708356058648402, + "learning_rate": 1.8839361378299376e-05, + "loss": 0.8433, + "step": 345 + }, + { + "epoch": 0.5429313980287354, + "grad_norm": 0.7122535332724641, + "learning_rate": 1.8831420816684528e-05, + "loss": 0.8494, + "step": 346 + }, + { + "epoch": 0.5445005639189918, + "grad_norm": 0.6818118735087734, + "learning_rate": 1.8823454869940243e-05, + "loss": 0.8096, + "step": 347 + }, + { + "epoch": 0.5460697298092483, + "grad_norm": 0.6892639418959253, + "learning_rate": 1.8815463560963932e-05, + "loss": 0.8313, + "step": 348 + }, + { + "epoch": 0.5476388956995047, + "grad_norm": 0.6231698332420209, + "learning_rate": 1.8807446912725893e-05, + "loss": 0.816, + "step": 349 + }, + { + "epoch": 0.5492080615897612, + "grad_norm": 0.69177416881062, + "learning_rate": 1.8799404948269267e-05, + "loss": 0.8386, + "step": 350 + }, + { + "epoch": 0.5507772274800177, + "grad_norm": 0.676144378396341, + "learning_rate": 1.879133769070996e-05, + "loss": 0.8294, + "step": 351 + }, + { + "epoch": 0.5523463933702741, + "grad_norm": 0.6822340175503191, + "learning_rate": 1.878324516323658e-05, + "loss": 0.809, + "step": 352 + }, + { + "epoch": 0.5539155592605306, + "grad_norm": 0.7360218095662615, + "learning_rate": 1.877512738911038e-05, + "loss": 0.8096, + "step": 353 + }, + { + "epoch": 0.5554847251507871, + "grad_norm": 0.6271317377013338, + "learning_rate": 1.8766984391665173e-05, + "loss": 0.8235, + "step": 354 + }, + { + "epoch": 0.5570538910410435, + "grad_norm": 0.6640421778175191, + "learning_rate": 1.8758816194307272e-05, + "loss": 0.829, + "step": 355 + }, + { + "epoch": 0.5586230569313, + "grad_norm": 0.7029292433271469, + "learning_rate": 1.875062282051544e-05, + "loss": 0.844, + "step": 356 + }, + { + "epoch": 0.5601922228215565, + "grad_norm": 0.6373488534328882, + "learning_rate": 1.8742404293840784e-05, + "loss": 0.8339, + "step": 357 + }, + { + "epoch": 0.5617613887118129, + "grad_norm": 0.7044723707421129, + "learning_rate": 1.8734160637906738e-05, + "loss": 0.8331, + "step": 358 + }, + { + "epoch": 0.5633305546020694, + "grad_norm": 0.7584335727897751, + "learning_rate": 1.8725891876408946e-05, + "loss": 0.8213, + "step": 359 + }, + { + "epoch": 0.5648997204923258, + "grad_norm": 0.6599185658756294, + "learning_rate": 1.8717598033115224e-05, + "loss": 0.8569, + "step": 360 + }, + { + "epoch": 0.5664688863825823, + "grad_norm": 0.704365458509732, + "learning_rate": 1.8709279131865486e-05, + "loss": 0.8265, + "step": 361 + }, + { + "epoch": 0.5680380522728388, + "grad_norm": 0.7824297627538636, + "learning_rate": 1.8700935196571666e-05, + "loss": 0.8294, + "step": 362 + }, + { + "epoch": 0.5696072181630952, + "grad_norm": 0.6910388517838051, + "learning_rate": 1.8692566251217665e-05, + "loss": 0.8159, + "step": 363 + }, + { + "epoch": 0.5711763840533517, + "grad_norm": 0.9141759575207105, + "learning_rate": 1.8684172319859258e-05, + "loss": 0.8543, + "step": 364 + }, + { + "epoch": 0.572745549943608, + "grad_norm": 0.6923514907759056, + "learning_rate": 1.867575342662406e-05, + "loss": 0.8308, + "step": 365 + }, + { + "epoch": 0.5743147158338645, + "grad_norm": 0.7871755486736863, + "learning_rate": 1.8667309595711426e-05, + "loss": 0.8195, + "step": 366 + }, + { + "epoch": 0.575883881724121, + "grad_norm": 0.736697098608543, + "learning_rate": 1.8658840851392386e-05, + "loss": 0.8137, + "step": 367 + }, + { + "epoch": 0.5774530476143774, + "grad_norm": 0.7015610378221094, + "learning_rate": 1.8650347218009596e-05, + "loss": 0.8524, + "step": 368 + }, + { + "epoch": 0.5790222135046339, + "grad_norm": 0.7357617134103119, + "learning_rate": 1.8641828719977244e-05, + "loss": 0.8345, + "step": 369 + }, + { + "epoch": 0.5805913793948904, + "grad_norm": 0.7109966959279804, + "learning_rate": 1.8633285381780987e-05, + "loss": 0.8353, + "step": 370 + }, + { + "epoch": 0.5821605452851468, + "grad_norm": 0.7024674889311903, + "learning_rate": 1.862471722797789e-05, + "loss": 0.8432, + "step": 371 + }, + { + "epoch": 0.5837297111754033, + "grad_norm": 0.6999505622425886, + "learning_rate": 1.861612428319634e-05, + "loss": 0.8411, + "step": 372 + }, + { + "epoch": 0.5852988770656598, + "grad_norm": 0.6982150916537049, + "learning_rate": 1.8607506572135994e-05, + "loss": 0.7959, + "step": 373 + }, + { + "epoch": 0.5868680429559162, + "grad_norm": 0.7020596340950395, + "learning_rate": 1.8598864119567693e-05, + "loss": 0.8017, + "step": 374 + }, + { + "epoch": 0.5884372088461727, + "grad_norm": 0.6686275845549737, + "learning_rate": 1.859019695033339e-05, + "loss": 0.802, + "step": 375 + }, + { + "epoch": 0.5900063747364291, + "grad_norm": 0.6645612734866118, + "learning_rate": 1.858150508934609e-05, + "loss": 0.8262, + "step": 376 + }, + { + "epoch": 0.5915755406266856, + "grad_norm": 0.6923508947440026, + "learning_rate": 1.8572788561589766e-05, + "loss": 0.8193, + "step": 377 + }, + { + "epoch": 0.5931447065169421, + "grad_norm": 0.7561539114886064, + "learning_rate": 1.8564047392119306e-05, + "loss": 0.8336, + "step": 378 + }, + { + "epoch": 0.5947138724071985, + "grad_norm": 0.6750352883555016, + "learning_rate": 1.855528160606041e-05, + "loss": 0.8167, + "step": 379 + }, + { + "epoch": 0.596283038297455, + "grad_norm": 0.7493837600956766, + "learning_rate": 1.8546491228609552e-05, + "loss": 0.8188, + "step": 380 + }, + { + "epoch": 0.5978522041877115, + "grad_norm": 0.731594857129808, + "learning_rate": 1.8537676285033886e-05, + "loss": 0.8324, + "step": 381 + }, + { + "epoch": 0.5994213700779679, + "grad_norm": 0.7001893897171816, + "learning_rate": 1.852883680067118e-05, + "loss": 0.8178, + "step": 382 + }, + { + "epoch": 0.6009905359682244, + "grad_norm": 0.6852142446532932, + "learning_rate": 1.851997280092974e-05, + "loss": 0.8102, + "step": 383 + }, + { + "epoch": 0.6025597018584808, + "grad_norm": 0.6983434794976544, + "learning_rate": 1.8511084311288338e-05, + "loss": 0.8332, + "step": 384 + }, + { + "epoch": 0.6041288677487373, + "grad_norm": 0.6933691219197556, + "learning_rate": 1.8502171357296144e-05, + "loss": 0.8146, + "step": 385 + }, + { + "epoch": 0.6056980336389938, + "grad_norm": 0.700602487961442, + "learning_rate": 1.8493233964572648e-05, + "loss": 0.8135, + "step": 386 + }, + { + "epoch": 0.6072671995292502, + "grad_norm": 0.6744943633457979, + "learning_rate": 1.8484272158807587e-05, + "loss": 0.8376, + "step": 387 + }, + { + "epoch": 0.6088363654195067, + "grad_norm": 0.7865201124937491, + "learning_rate": 1.847528596576087e-05, + "loss": 0.8117, + "step": 388 + }, + { + "epoch": 0.6104055313097632, + "grad_norm": 0.6433086814077168, + "learning_rate": 1.8466275411262504e-05, + "loss": 0.8155, + "step": 389 + }, + { + "epoch": 0.6119746972000196, + "grad_norm": 0.7076424626661005, + "learning_rate": 1.8457240521212525e-05, + "loss": 0.8166, + "step": 390 + }, + { + "epoch": 0.6135438630902761, + "grad_norm": 0.8078938878284891, + "learning_rate": 1.8448181321580916e-05, + "loss": 0.8459, + "step": 391 + }, + { + "epoch": 0.6151130289805326, + "grad_norm": 0.7461616818713168, + "learning_rate": 1.8439097838407532e-05, + "loss": 0.8049, + "step": 392 + }, + { + "epoch": 0.616682194870789, + "grad_norm": 0.7152268552139599, + "learning_rate": 1.8429990097802037e-05, + "loss": 0.808, + "step": 393 + }, + { + "epoch": 0.6182513607610455, + "grad_norm": 0.6846357455674837, + "learning_rate": 1.8420858125943818e-05, + "loss": 0.8045, + "step": 394 + }, + { + "epoch": 0.6198205266513019, + "grad_norm": 0.6983269194639065, + "learning_rate": 1.8411701949081906e-05, + "loss": 0.8105, + "step": 395 + }, + { + "epoch": 0.6213896925415584, + "grad_norm": 0.7605464379002871, + "learning_rate": 1.840252159353492e-05, + "loss": 0.797, + "step": 396 + }, + { + "epoch": 0.6229588584318149, + "grad_norm": 0.6983797607098158, + "learning_rate": 1.8393317085690964e-05, + "loss": 0.8569, + "step": 397 + }, + { + "epoch": 0.6245280243220713, + "grad_norm": 0.6748691689781784, + "learning_rate": 1.838408845200758e-05, + "loss": 0.8208, + "step": 398 + }, + { + "epoch": 0.6260971902123278, + "grad_norm": 0.8098834293213556, + "learning_rate": 1.837483571901164e-05, + "loss": 0.8147, + "step": 399 + }, + { + "epoch": 0.6276663561025843, + "grad_norm": 0.7181360293484808, + "learning_rate": 1.8365558913299307e-05, + "loss": 0.8299, + "step": 400 + }, + { + "epoch": 0.6292355219928407, + "grad_norm": 0.6969158627505524, + "learning_rate": 1.835625806153593e-05, + "loss": 0.8234, + "step": 401 + }, + { + "epoch": 0.6308046878830972, + "grad_norm": 0.754159219293913, + "learning_rate": 1.834693319045597e-05, + "loss": 0.8247, + "step": 402 + }, + { + "epoch": 0.6323738537733536, + "grad_norm": 0.7319986358100911, + "learning_rate": 1.8337584326862935e-05, + "loss": 0.8152, + "step": 403 + }, + { + "epoch": 0.6339430196636101, + "grad_norm": 0.7452151204389407, + "learning_rate": 1.8328211497629304e-05, + "loss": 0.8148, + "step": 404 + }, + { + "epoch": 0.6355121855538666, + "grad_norm": 0.6651465044606695, + "learning_rate": 1.8318814729696427e-05, + "loss": 0.824, + "step": 405 + }, + { + "epoch": 0.637081351444123, + "grad_norm": 0.6770145443430586, + "learning_rate": 1.8309394050074482e-05, + "loss": 0.8237, + "step": 406 + }, + { + "epoch": 0.6386505173343795, + "grad_norm": 0.6727769957144305, + "learning_rate": 1.8299949485842366e-05, + "loss": 0.8377, + "step": 407 + }, + { + "epoch": 0.6402196832246358, + "grad_norm": 0.8010705157322117, + "learning_rate": 1.8290481064147637e-05, + "loss": 0.8135, + "step": 408 + }, + { + "epoch": 0.6417888491148923, + "grad_norm": 0.6733077616751881, + "learning_rate": 1.828098881220642e-05, + "loss": 0.8432, + "step": 409 + }, + { + "epoch": 0.6433580150051488, + "grad_norm": 0.7089761572504684, + "learning_rate": 1.8271472757303352e-05, + "loss": 0.8379, + "step": 410 + }, + { + "epoch": 0.6449271808954052, + "grad_norm": 0.7752473611159495, + "learning_rate": 1.8261932926791477e-05, + "loss": 0.8398, + "step": 411 + }, + { + "epoch": 0.6464963467856617, + "grad_norm": 0.734051159422781, + "learning_rate": 1.8252369348092184e-05, + "loss": 0.8234, + "step": 412 + }, + { + "epoch": 0.6480655126759182, + "grad_norm": 0.6468926275147576, + "learning_rate": 1.824278204869513e-05, + "loss": 0.8038, + "step": 413 + }, + { + "epoch": 0.6496346785661746, + "grad_norm": 0.6950725330894157, + "learning_rate": 1.823317105615815e-05, + "loss": 0.8208, + "step": 414 + }, + { + "epoch": 0.6512038444564311, + "grad_norm": 0.6753962572420696, + "learning_rate": 1.8223536398107177e-05, + "loss": 0.8391, + "step": 415 + }, + { + "epoch": 0.6527730103466876, + "grad_norm": 0.7042901367806785, + "learning_rate": 1.8213878102236177e-05, + "loss": 0.8146, + "step": 416 + }, + { + "epoch": 0.654342176236944, + "grad_norm": 0.7500913478458661, + "learning_rate": 1.8204196196307058e-05, + "loss": 0.8314, + "step": 417 + }, + { + "epoch": 0.6559113421272005, + "grad_norm": 0.6957807209230921, + "learning_rate": 1.819449070814959e-05, + "loss": 0.8001, + "step": 418 + }, + { + "epoch": 0.6574805080174569, + "grad_norm": 0.6457468023907118, + "learning_rate": 1.8184761665661335e-05, + "loss": 0.7992, + "step": 419 + }, + { + "epoch": 0.6590496739077134, + "grad_norm": 0.6955793263668436, + "learning_rate": 1.8175009096807557e-05, + "loss": 0.8134, + "step": 420 + }, + { + "epoch": 0.6606188397979699, + "grad_norm": 0.7545609633979165, + "learning_rate": 1.8165233029621136e-05, + "loss": 0.8164, + "step": 421 + }, + { + "epoch": 0.6621880056882263, + "grad_norm": 0.6554743383140347, + "learning_rate": 1.8155433492202507e-05, + "loss": 0.8259, + "step": 422 + }, + { + "epoch": 0.6637571715784828, + "grad_norm": 0.7139814219154882, + "learning_rate": 1.8145610512719565e-05, + "loss": 0.8333, + "step": 423 + }, + { + "epoch": 0.6653263374687393, + "grad_norm": 0.6950404797930613, + "learning_rate": 1.8135764119407585e-05, + "loss": 0.8127, + "step": 424 + }, + { + "epoch": 0.6668955033589957, + "grad_norm": 0.641920314446041, + "learning_rate": 1.8125894340569145e-05, + "loss": 0.8045, + "step": 425 + }, + { + "epoch": 0.6684646692492522, + "grad_norm": 0.7501186303259437, + "learning_rate": 1.8116001204574042e-05, + "loss": 0.8251, + "step": 426 + }, + { + "epoch": 0.6700338351395086, + "grad_norm": 0.7091587706100728, + "learning_rate": 1.8106084739859206e-05, + "loss": 0.8217, + "step": 427 + }, + { + "epoch": 0.6716030010297651, + "grad_norm": 0.6999075333919983, + "learning_rate": 1.8096144974928635e-05, + "loss": 0.8167, + "step": 428 + }, + { + "epoch": 0.6731721669200216, + "grad_norm": 0.8425405072714384, + "learning_rate": 1.808618193835329e-05, + "loss": 0.8065, + "step": 429 + }, + { + "epoch": 0.674741332810278, + "grad_norm": 0.7656723967224829, + "learning_rate": 1.8076195658771033e-05, + "loss": 0.8271, + "step": 430 + }, + { + "epoch": 0.6763104987005345, + "grad_norm": 0.7407720143672063, + "learning_rate": 1.8066186164886525e-05, + "loss": 0.8063, + "step": 431 + }, + { + "epoch": 0.677879664590791, + "grad_norm": 0.8941476261659167, + "learning_rate": 1.8056153485471167e-05, + "loss": 0.8047, + "step": 432 + }, + { + "epoch": 0.6794488304810474, + "grad_norm": 0.6360637102703494, + "learning_rate": 1.8046097649362994e-05, + "loss": 0.8094, + "step": 433 + }, + { + "epoch": 0.6810179963713039, + "grad_norm": 0.7238862166213049, + "learning_rate": 1.8036018685466614e-05, + "loss": 0.8101, + "step": 434 + }, + { + "epoch": 0.6825871622615604, + "grad_norm": 0.7574138784308379, + "learning_rate": 1.80259166227531e-05, + "loss": 0.8079, + "step": 435 + }, + { + "epoch": 0.6841563281518168, + "grad_norm": 0.7023579698448427, + "learning_rate": 1.8015791490259932e-05, + "loss": 0.8145, + "step": 436 + }, + { + "epoch": 0.6857254940420733, + "grad_norm": 0.8225272967989602, + "learning_rate": 1.80056433170909e-05, + "loss": 0.82, + "step": 437 + }, + { + "epoch": 0.6872946599323297, + "grad_norm": 0.64159432837912, + "learning_rate": 1.799547213241602e-05, + "loss": 0.8296, + "step": 438 + }, + { + "epoch": 0.6888638258225862, + "grad_norm": 0.8057821733572857, + "learning_rate": 1.798527796547145e-05, + "loss": 0.8003, + "step": 439 + }, + { + "epoch": 0.6904329917128427, + "grad_norm": 0.716957403699838, + "learning_rate": 1.7975060845559412e-05, + "loss": 0.7932, + "step": 440 + }, + { + "epoch": 0.6920021576030991, + "grad_norm": 0.6642423022463745, + "learning_rate": 1.79648208020481e-05, + "loss": 0.8097, + "step": 441 + }, + { + "epoch": 0.6935713234933556, + "grad_norm": 0.7709982710378553, + "learning_rate": 1.7954557864371615e-05, + "loss": 0.8034, + "step": 442 + }, + { + "epoch": 0.6951404893836121, + "grad_norm": 0.6386502331455692, + "learning_rate": 1.794427206202984e-05, + "loss": 0.7855, + "step": 443 + }, + { + "epoch": 0.6967096552738685, + "grad_norm": 0.6497383877425416, + "learning_rate": 1.79339634245884e-05, + "loss": 0.8157, + "step": 444 + }, + { + "epoch": 0.698278821164125, + "grad_norm": 0.7699030331105429, + "learning_rate": 1.7923631981678552e-05, + "loss": 0.8272, + "step": 445 + }, + { + "epoch": 0.6998479870543814, + "grad_norm": 0.6970165818064721, + "learning_rate": 1.7913277762997105e-05, + "loss": 0.8118, + "step": 446 + }, + { + "epoch": 0.7014171529446379, + "grad_norm": 0.7099113528250288, + "learning_rate": 1.7902900798306334e-05, + "loss": 0.8209, + "step": 447 + }, + { + "epoch": 0.7029863188348944, + "grad_norm": 0.6720400867479696, + "learning_rate": 1.7892501117433896e-05, + "loss": 0.7994, + "step": 448 + }, + { + "epoch": 0.7045554847251508, + "grad_norm": 0.7888958270253592, + "learning_rate": 1.788207875027274e-05, + "loss": 0.8367, + "step": 449 + }, + { + "epoch": 0.7061246506154073, + "grad_norm": 0.7290525822038607, + "learning_rate": 1.7871633726781042e-05, + "loss": 0.813, + "step": 450 + }, + { + "epoch": 0.7076938165056637, + "grad_norm": 0.6698872656305315, + "learning_rate": 1.786116607698207e-05, + "loss": 0.799, + "step": 451 + }, + { + "epoch": 0.7092629823959201, + "grad_norm": 0.6393617197451871, + "learning_rate": 1.785067583096416e-05, + "loss": 0.8196, + "step": 452 + }, + { + "epoch": 0.7108321482861766, + "grad_norm": 0.7159540730903501, + "learning_rate": 1.784016301888058e-05, + "loss": 0.7878, + "step": 453 + }, + { + "epoch": 0.712401314176433, + "grad_norm": 0.7368282115740014, + "learning_rate": 1.7829627670949468e-05, + "loss": 0.8086, + "step": 454 + }, + { + "epoch": 0.7139704800666895, + "grad_norm": 0.6476538158940627, + "learning_rate": 1.7819069817453746e-05, + "loss": 0.7988, + "step": 455 + }, + { + "epoch": 0.715539645956946, + "grad_norm": 0.784552921400997, + "learning_rate": 1.7808489488741013e-05, + "loss": 0.8233, + "step": 456 + }, + { + "epoch": 0.7171088118472024, + "grad_norm": 0.7178294530644177, + "learning_rate": 1.779788671522348e-05, + "loss": 0.8073, + "step": 457 + }, + { + "epoch": 0.7186779777374589, + "grad_norm": 0.6730171014633602, + "learning_rate": 1.778726152737787e-05, + "loss": 0.8221, + "step": 458 + }, + { + "epoch": 0.7202471436277154, + "grad_norm": 0.8214261337376169, + "learning_rate": 1.7776613955745337e-05, + "loss": 0.8297, + "step": 459 + }, + { + "epoch": 0.7218163095179718, + "grad_norm": 0.6893321165565585, + "learning_rate": 1.776594403093138e-05, + "loss": 0.8321, + "step": 460 + }, + { + "epoch": 0.7233854754082283, + "grad_norm": 0.8516099663226969, + "learning_rate": 1.7755251783605733e-05, + "loss": 0.7984, + "step": 461 + }, + { + "epoch": 0.7249546412984847, + "grad_norm": 0.7839754746050254, + "learning_rate": 1.774453724450231e-05, + "loss": 0.8425, + "step": 462 + }, + { + "epoch": 0.7265238071887412, + "grad_norm": 0.6537865642848764, + "learning_rate": 1.7733800444419088e-05, + "loss": 0.8158, + "step": 463 + }, + { + "epoch": 0.7280929730789977, + "grad_norm": 0.7533825963172626, + "learning_rate": 1.7723041414218053e-05, + "loss": 0.8107, + "step": 464 + }, + { + "epoch": 0.7296621389692541, + "grad_norm": 0.7109718264788607, + "learning_rate": 1.7712260184825063e-05, + "loss": 0.8251, + "step": 465 + }, + { + "epoch": 0.7312313048595106, + "grad_norm": 0.6721597266694148, + "learning_rate": 1.7701456787229805e-05, + "loss": 0.8117, + "step": 466 + }, + { + "epoch": 0.7328004707497671, + "grad_norm": 0.6881719830558359, + "learning_rate": 1.7690631252485676e-05, + "loss": 0.7967, + "step": 467 + }, + { + "epoch": 0.7343696366400235, + "grad_norm": 0.6445607899227929, + "learning_rate": 1.767978361170971e-05, + "loss": 0.8097, + "step": 468 + }, + { + "epoch": 0.73593880253028, + "grad_norm": 0.7504824832613186, + "learning_rate": 1.766891389608248e-05, + "loss": 0.835, + "step": 469 + }, + { + "epoch": 0.7375079684205365, + "grad_norm": 0.7866067337434499, + "learning_rate": 1.7658022136848008e-05, + "loss": 0.8014, + "step": 470 + }, + { + "epoch": 0.7390771343107929, + "grad_norm": 0.6303009056377867, + "learning_rate": 1.7647108365313683e-05, + "loss": 0.8233, + "step": 471 + }, + { + "epoch": 0.7406463002010494, + "grad_norm": 0.7147872336913142, + "learning_rate": 1.763617261285017e-05, + "loss": 0.8154, + "step": 472 + }, + { + "epoch": 0.7422154660913058, + "grad_norm": 0.7829534690519674, + "learning_rate": 1.7625214910891307e-05, + "loss": 0.8299, + "step": 473 + }, + { + "epoch": 0.7437846319815623, + "grad_norm": 0.675903984438671, + "learning_rate": 1.761423529093403e-05, + "loss": 0.8245, + "step": 474 + }, + { + "epoch": 0.7453537978718188, + "grad_norm": 0.7220838854114594, + "learning_rate": 1.7603233784538275e-05, + "loss": 0.8274, + "step": 475 + }, + { + "epoch": 0.7469229637620752, + "grad_norm": 0.7917437857037457, + "learning_rate": 1.759221042332689e-05, + "loss": 0.8475, + "step": 476 + }, + { + "epoch": 0.7484921296523317, + "grad_norm": 0.7149355792999409, + "learning_rate": 1.7581165238985533e-05, + "loss": 0.809, + "step": 477 + }, + { + "epoch": 0.7500612955425882, + "grad_norm": 0.6910650547613271, + "learning_rate": 1.7570098263262608e-05, + "loss": 0.8132, + "step": 478 + }, + { + "epoch": 0.7516304614328446, + "grad_norm": 0.7650525336029764, + "learning_rate": 1.7559009527969145e-05, + "loss": 0.8107, + "step": 479 + }, + { + "epoch": 0.7531996273231011, + "grad_norm": 0.7678212906690784, + "learning_rate": 1.754789906497872e-05, + "loss": 0.8109, + "step": 480 + }, + { + "epoch": 0.7547687932133575, + "grad_norm": 0.6383707499049117, + "learning_rate": 1.7536766906227365e-05, + "loss": 0.8063, + "step": 481 + }, + { + "epoch": 0.756337959103614, + "grad_norm": 0.8522670527346118, + "learning_rate": 1.752561308371348e-05, + "loss": 0.8157, + "step": 482 + }, + { + "epoch": 0.7579071249938705, + "grad_norm": 0.7930403589499919, + "learning_rate": 1.751443762949772e-05, + "loss": 0.8029, + "step": 483 + }, + { + "epoch": 0.7594762908841269, + "grad_norm": 0.6288113764581796, + "learning_rate": 1.750324057570294e-05, + "loss": 0.8252, + "step": 484 + }, + { + "epoch": 0.7610454567743834, + "grad_norm": 0.7031530416277852, + "learning_rate": 1.7492021954514068e-05, + "loss": 0.8077, + "step": 485 + }, + { + "epoch": 0.7626146226646399, + "grad_norm": 0.7708218065173724, + "learning_rate": 1.748078179817802e-05, + "loss": 0.8023, + "step": 486 + }, + { + "epoch": 0.7641837885548963, + "grad_norm": 0.6799372475491817, + "learning_rate": 1.7469520139003627e-05, + "loss": 0.8203, + "step": 487 + }, + { + "epoch": 0.7657529544451528, + "grad_norm": 0.6992511409953582, + "learning_rate": 1.745823700936152e-05, + "loss": 0.831, + "step": 488 + }, + { + "epoch": 0.7673221203354093, + "grad_norm": 0.6781285850790751, + "learning_rate": 1.7446932441684044e-05, + "loss": 0.8379, + "step": 489 + }, + { + "epoch": 0.7688912862256657, + "grad_norm": 0.7003178265211839, + "learning_rate": 1.743560646846517e-05, + "loss": 0.8156, + "step": 490 + }, + { + "epoch": 0.7704604521159222, + "grad_norm": 0.6281699122180051, + "learning_rate": 1.7424259122260396e-05, + "loss": 0.8118, + "step": 491 + }, + { + "epoch": 0.7720296180061786, + "grad_norm": 0.6555713044357072, + "learning_rate": 1.741289043568665e-05, + "loss": 0.8137, + "step": 492 + }, + { + "epoch": 0.7735987838964351, + "grad_norm": 0.7316387142927496, + "learning_rate": 1.740150044142221e-05, + "loss": 0.8007, + "step": 493 + }, + { + "epoch": 0.7751679497866915, + "grad_norm": 0.722609826172713, + "learning_rate": 1.7390089172206594e-05, + "loss": 0.8345, + "step": 494 + }, + { + "epoch": 0.7767371156769479, + "grad_norm": 0.6531002990849316, + "learning_rate": 1.7378656660840475e-05, + "loss": 0.8249, + "step": 495 + }, + { + "epoch": 0.7783062815672044, + "grad_norm": 0.6741354485887595, + "learning_rate": 1.7367202940185583e-05, + "loss": 0.8341, + "step": 496 + }, + { + "epoch": 0.7798754474574608, + "grad_norm": 0.6709988543956592, + "learning_rate": 1.7355728043164613e-05, + "loss": 0.7946, + "step": 497 + }, + { + "epoch": 0.7814446133477173, + "grad_norm": 0.6595885302529915, + "learning_rate": 1.7344232002761138e-05, + "loss": 0.8125, + "step": 498 + }, + { + "epoch": 0.7830137792379738, + "grad_norm": 0.710979420911621, + "learning_rate": 1.7332714852019487e-05, + "loss": 0.8054, + "step": 499 + }, + { + "epoch": 0.7845829451282302, + "grad_norm": 0.6533184911971489, + "learning_rate": 1.732117662404469e-05, + "loss": 0.8434, + "step": 500 + }, + { + "epoch": 0.7861521110184867, + "grad_norm": 0.6659869923020332, + "learning_rate": 1.7309617352002343e-05, + "loss": 0.7999, + "step": 501 + }, + { + "epoch": 0.7877212769087432, + "grad_norm": 0.6568986059667483, + "learning_rate": 1.7298037069118546e-05, + "loss": 0.8009, + "step": 502 + }, + { + "epoch": 0.7892904427989996, + "grad_norm": 0.6354201540803367, + "learning_rate": 1.7286435808679787e-05, + "loss": 0.8188, + "step": 503 + }, + { + "epoch": 0.7908596086892561, + "grad_norm": 0.6672100749606731, + "learning_rate": 1.7274813604032847e-05, + "loss": 0.7892, + "step": 504 + }, + { + "epoch": 0.7924287745795126, + "grad_norm": 0.6371444526615044, + "learning_rate": 1.7263170488584717e-05, + "loss": 0.8131, + "step": 505 + }, + { + "epoch": 0.793997940469769, + "grad_norm": 0.7456005982963471, + "learning_rate": 1.725150649580249e-05, + "loss": 0.8383, + "step": 506 + }, + { + "epoch": 0.7955671063600255, + "grad_norm": 0.6511784387683395, + "learning_rate": 1.7239821659213272e-05, + "loss": 0.8088, + "step": 507 + }, + { + "epoch": 0.7971362722502819, + "grad_norm": 0.6793395853342363, + "learning_rate": 1.7228116012404085e-05, + "loss": 0.8165, + "step": 508 + }, + { + "epoch": 0.7987054381405384, + "grad_norm": 0.6691807054058334, + "learning_rate": 1.721638958902175e-05, + "loss": 0.8315, + "step": 509 + }, + { + "epoch": 0.8002746040307949, + "grad_norm": 0.6504268301547628, + "learning_rate": 1.7204642422772836e-05, + "loss": 0.8096, + "step": 510 + }, + { + "epoch": 0.8018437699210513, + "grad_norm": 0.6534928735312999, + "learning_rate": 1.7192874547423514e-05, + "loss": 0.84, + "step": 511 + }, + { + "epoch": 0.8034129358113078, + "grad_norm": 0.6838591730669165, + "learning_rate": 1.71810859967995e-05, + "loss": 0.8014, + "step": 512 + }, + { + "epoch": 0.8049821017015643, + "grad_norm": 0.6165450255519258, + "learning_rate": 1.716927680478591e-05, + "loss": 0.7928, + "step": 513 + }, + { + "epoch": 0.8065512675918207, + "grad_norm": 0.6587483637904128, + "learning_rate": 1.715744700532723e-05, + "loss": 0.8181, + "step": 514 + }, + { + "epoch": 0.8081204334820772, + "grad_norm": 0.6524271238302766, + "learning_rate": 1.714559663242715e-05, + "loss": 0.8101, + "step": 515 + }, + { + "epoch": 0.8096895993723336, + "grad_norm": 0.6403769753872768, + "learning_rate": 1.7133725720148513e-05, + "loss": 0.7953, + "step": 516 + }, + { + "epoch": 0.8112587652625901, + "grad_norm": 0.6357272635711984, + "learning_rate": 1.712183430261319e-05, + "loss": 0.8136, + "step": 517 + }, + { + "epoch": 0.8128279311528466, + "grad_norm": 0.6058535344892332, + "learning_rate": 1.7109922414001997e-05, + "loss": 0.8116, + "step": 518 + }, + { + "epoch": 0.814397097043103, + "grad_norm": 0.7117480045479407, + "learning_rate": 1.7097990088554595e-05, + "loss": 0.7945, + "step": 519 + }, + { + "epoch": 0.8159662629333595, + "grad_norm": 0.640144578639951, + "learning_rate": 1.7086037360569386e-05, + "loss": 0.818, + "step": 520 + }, + { + "epoch": 0.817535428823616, + "grad_norm": 0.6492922119177317, + "learning_rate": 1.707406426440342e-05, + "loss": 0.8093, + "step": 521 + }, + { + "epoch": 0.8191045947138724, + "grad_norm": 0.7197118156272728, + "learning_rate": 1.7062070834472287e-05, + "loss": 0.808, + "step": 522 + }, + { + "epoch": 0.8206737606041289, + "grad_norm": 0.7818181859268165, + "learning_rate": 1.7050057105250034e-05, + "loss": 0.8161, + "step": 523 + }, + { + "epoch": 0.8222429264943854, + "grad_norm": 0.6941809311994893, + "learning_rate": 1.7038023111269045e-05, + "loss": 0.8247, + "step": 524 + }, + { + "epoch": 0.8238120923846418, + "grad_norm": 0.7386763962568045, + "learning_rate": 1.7025968887119962e-05, + "loss": 0.8178, + "step": 525 + }, + { + "epoch": 0.8253812582748983, + "grad_norm": 0.7077831748661425, + "learning_rate": 1.701389446745158e-05, + "loss": 0.8161, + "step": 526 + }, + { + "epoch": 0.8269504241651547, + "grad_norm": 0.6526885632115078, + "learning_rate": 1.7001799886970735e-05, + "loss": 0.799, + "step": 527 + }, + { + "epoch": 0.8285195900554112, + "grad_norm": 0.7639975857248498, + "learning_rate": 1.6989685180442212e-05, + "loss": 0.781, + "step": 528 + }, + { + "epoch": 0.8300887559456677, + "grad_norm": 0.6684469040627832, + "learning_rate": 1.697755038268866e-05, + "loss": 0.7856, + "step": 529 + }, + { + "epoch": 0.8316579218359241, + "grad_norm": 0.7058117508872238, + "learning_rate": 1.696539552859046e-05, + "loss": 0.8014, + "step": 530 + }, + { + "epoch": 0.8332270877261806, + "grad_norm": 0.6836163548650119, + "learning_rate": 1.6953220653085662e-05, + "loss": 0.7861, + "step": 531 + }, + { + "epoch": 0.8347962536164371, + "grad_norm": 0.6527971166004355, + "learning_rate": 1.6941025791169855e-05, + "loss": 0.7992, + "step": 532 + }, + { + "epoch": 0.8363654195066935, + "grad_norm": 0.6978339614853983, + "learning_rate": 1.692881097789608e-05, + "loss": 0.794, + "step": 533 + }, + { + "epoch": 0.83793458539695, + "grad_norm": 0.6821421763392262, + "learning_rate": 1.691657624837472e-05, + "loss": 0.8234, + "step": 534 + }, + { + "epoch": 0.8395037512872064, + "grad_norm": 0.6675300069385321, + "learning_rate": 1.6904321637773414e-05, + "loss": 0.8032, + "step": 535 + }, + { + "epoch": 0.8410729171774629, + "grad_norm": 0.7346622800030119, + "learning_rate": 1.6892047181316952e-05, + "loss": 0.7911, + "step": 536 + }, + { + "epoch": 0.8426420830677193, + "grad_norm": 0.739051301794649, + "learning_rate": 1.687975291428715e-05, + "loss": 0.7891, + "step": 537 + }, + { + "epoch": 0.8442112489579757, + "grad_norm": 0.6373011156184432, + "learning_rate": 1.6867438872022782e-05, + "loss": 0.8069, + "step": 538 + }, + { + "epoch": 0.8457804148482322, + "grad_norm": 0.6709585938330882, + "learning_rate": 1.6855105089919467e-05, + "loss": 0.8332, + "step": 539 + }, + { + "epoch": 0.8473495807384887, + "grad_norm": 0.677293117839924, + "learning_rate": 1.684275160342955e-05, + "loss": 0.7958, + "step": 540 + }, + { + "epoch": 0.8489187466287451, + "grad_norm": 0.6761789735191491, + "learning_rate": 1.683037844806203e-05, + "loss": 0.8076, + "step": 541 + }, + { + "epoch": 0.8504879125190016, + "grad_norm": 0.6408496083925778, + "learning_rate": 1.6817985659382437e-05, + "loss": 0.8117, + "step": 542 + }, + { + "epoch": 0.852057078409258, + "grad_norm": 0.6430311453864617, + "learning_rate": 1.680557327301273e-05, + "loss": 0.8161, + "step": 543 + }, + { + "epoch": 0.8536262442995145, + "grad_norm": 0.7397332654739386, + "learning_rate": 1.67931413246312e-05, + "loss": 0.8106, + "step": 544 + }, + { + "epoch": 0.855195410189771, + "grad_norm": 0.7299719224754243, + "learning_rate": 1.678068984997238e-05, + "loss": 0.8189, + "step": 545 + }, + { + "epoch": 0.8567645760800274, + "grad_norm": 0.6491507227287643, + "learning_rate": 1.6768218884826916e-05, + "loss": 0.8176, + "step": 546 + }, + { + "epoch": 0.8583337419702839, + "grad_norm": 0.7289415570036244, + "learning_rate": 1.675572846504148e-05, + "loss": 0.8036, + "step": 547 + }, + { + "epoch": 0.8599029078605404, + "grad_norm": 0.7030586652496121, + "learning_rate": 1.674321862651867e-05, + "loss": 0.783, + "step": 548 + }, + { + "epoch": 0.8614720737507968, + "grad_norm": 0.6497840412025223, + "learning_rate": 1.6730689405216895e-05, + "loss": 0.8181, + "step": 549 + }, + { + "epoch": 0.8630412396410533, + "grad_norm": 0.6676400549113347, + "learning_rate": 1.6718140837150286e-05, + "loss": 0.8343, + "step": 550 + }, + { + "epoch": 0.8646104055313097, + "grad_norm": 0.7593329134013538, + "learning_rate": 1.6705572958388576e-05, + "loss": 0.8094, + "step": 551 + }, + { + "epoch": 0.8661795714215662, + "grad_norm": 0.8003932084095836, + "learning_rate": 1.669298580505701e-05, + "loss": 0.7976, + "step": 552 + }, + { + "epoch": 0.8677487373118227, + "grad_norm": 0.6574327020780073, + "learning_rate": 1.668037941333623e-05, + "loss": 0.7995, + "step": 553 + }, + { + "epoch": 0.8693179032020791, + "grad_norm": 0.7513090844076649, + "learning_rate": 1.6667753819462196e-05, + "loss": 0.8091, + "step": 554 + }, + { + "epoch": 0.8708870690923356, + "grad_norm": 0.7905519835629078, + "learning_rate": 1.665510905972603e-05, + "loss": 0.7994, + "step": 555 + }, + { + "epoch": 0.8724562349825921, + "grad_norm": 0.6830400188674131, + "learning_rate": 1.664244517047398e-05, + "loss": 0.8211, + "step": 556 + }, + { + "epoch": 0.8740254008728485, + "grad_norm": 0.6631120909160505, + "learning_rate": 1.6629762188107248e-05, + "loss": 0.7918, + "step": 557 + }, + { + "epoch": 0.875594566763105, + "grad_norm": 0.7167243386372935, + "learning_rate": 1.6617060149081944e-05, + "loss": 0.8367, + "step": 558 + }, + { + "epoch": 0.8771637326533614, + "grad_norm": 0.696860779606996, + "learning_rate": 1.6604339089908935e-05, + "loss": 0.8103, + "step": 559 + }, + { + "epoch": 0.8787328985436179, + "grad_norm": 0.6807416652503484, + "learning_rate": 1.6591599047153778e-05, + "loss": 0.7905, + "step": 560 + }, + { + "epoch": 0.8803020644338744, + "grad_norm": 0.6744850894294322, + "learning_rate": 1.657884005743658e-05, + "loss": 0.7875, + "step": 561 + }, + { + "epoch": 0.8818712303241308, + "grad_norm": 0.6892485774873763, + "learning_rate": 1.6566062157431915e-05, + "loss": 0.8014, + "step": 562 + }, + { + "epoch": 0.8834403962143873, + "grad_norm": 0.6506627437686835, + "learning_rate": 1.655326538386872e-05, + "loss": 0.8068, + "step": 563 + }, + { + "epoch": 0.8850095621046438, + "grad_norm": 0.872940706391606, + "learning_rate": 1.6540449773530168e-05, + "loss": 0.8227, + "step": 564 + }, + { + "epoch": 0.8865787279949002, + "grad_norm": 0.7041284488554426, + "learning_rate": 1.652761536325359e-05, + "loss": 0.7926, + "step": 565 + }, + { + "epoch": 0.8881478938851567, + "grad_norm": 0.7439493389344818, + "learning_rate": 1.6514762189930353e-05, + "loss": 0.8106, + "step": 566 + }, + { + "epoch": 0.8897170597754132, + "grad_norm": 0.6983851282263962, + "learning_rate": 1.650189029050575e-05, + "loss": 0.7708, + "step": 567 + }, + { + "epoch": 0.8912862256656696, + "grad_norm": 0.6917605366023396, + "learning_rate": 1.6488999701978905e-05, + "loss": 0.7659, + "step": 568 + }, + { + "epoch": 0.8928553915559261, + "grad_norm": 0.6377545035956164, + "learning_rate": 1.6476090461402664e-05, + "loss": 0.7944, + "step": 569 + }, + { + "epoch": 0.8944245574461825, + "grad_norm": 0.7392678410611455, + "learning_rate": 1.6463162605883485e-05, + "loss": 0.794, + "step": 570 + }, + { + "epoch": 0.895993723336439, + "grad_norm": 0.705170379300143, + "learning_rate": 1.645021617258133e-05, + "loss": 0.7925, + "step": 571 + }, + { + "epoch": 0.8975628892266955, + "grad_norm": 0.6128144490754132, + "learning_rate": 1.6437251198709567e-05, + "loss": 0.8006, + "step": 572 + }, + { + "epoch": 0.8991320551169519, + "grad_norm": 0.7117533384983966, + "learning_rate": 1.6424267721534856e-05, + "loss": 0.8134, + "step": 573 + }, + { + "epoch": 0.9007012210072084, + "grad_norm": 0.8039404801729146, + "learning_rate": 1.641126577837703e-05, + "loss": 0.7725, + "step": 574 + }, + { + "epoch": 0.9022703868974649, + "grad_norm": 0.659058227738277, + "learning_rate": 1.6398245406609027e-05, + "loss": 0.7845, + "step": 575 + }, + { + "epoch": 0.9038395527877213, + "grad_norm": 0.6551723308376716, + "learning_rate": 1.638520664365673e-05, + "loss": 0.8051, + "step": 576 + }, + { + "epoch": 0.9054087186779778, + "grad_norm": 0.7339846146712853, + "learning_rate": 1.6372149526998905e-05, + "loss": 0.7969, + "step": 577 + }, + { + "epoch": 0.9069778845682342, + "grad_norm": 0.6972162560558418, + "learning_rate": 1.635907409416706e-05, + "loss": 0.7813, + "step": 578 + }, + { + "epoch": 0.9085470504584907, + "grad_norm": 0.6665523295553141, + "learning_rate": 1.634598038274536e-05, + "loss": 0.8136, + "step": 579 + }, + { + "epoch": 0.9101162163487471, + "grad_norm": 0.7291147795349994, + "learning_rate": 1.6332868430370508e-05, + "loss": 0.8109, + "step": 580 + }, + { + "epoch": 0.9116853822390035, + "grad_norm": 0.8210953729995312, + "learning_rate": 1.631973827473164e-05, + "loss": 0.7945, + "step": 581 + }, + { + "epoch": 0.91325454812926, + "grad_norm": 0.637417375253505, + "learning_rate": 1.6306589953570207e-05, + "loss": 0.7873, + "step": 582 + }, + { + "epoch": 0.9148237140195165, + "grad_norm": 0.6572399735162374, + "learning_rate": 1.6293423504679898e-05, + "loss": 0.8011, + "step": 583 + }, + { + "epoch": 0.9163928799097729, + "grad_norm": 0.8253311695850781, + "learning_rate": 1.6280238965906474e-05, + "loss": 0.8112, + "step": 584 + }, + { + "epoch": 0.9179620458000294, + "grad_norm": 0.6770273612358756, + "learning_rate": 1.6267036375147728e-05, + "loss": 0.8016, + "step": 585 + }, + { + "epoch": 0.9195312116902858, + "grad_norm": 0.7928913502491136, + "learning_rate": 1.6253815770353316e-05, + "loss": 0.8001, + "step": 586 + }, + { + "epoch": 0.9211003775805423, + "grad_norm": 0.7135756659960236, + "learning_rate": 1.6240577189524688e-05, + "loss": 0.8056, + "step": 587 + }, + { + "epoch": 0.9226695434707988, + "grad_norm": 0.7348035046236058, + "learning_rate": 1.6227320670714966e-05, + "loss": 0.7864, + "step": 588 + }, + { + "epoch": 0.9242387093610552, + "grad_norm": 0.7994395457219496, + "learning_rate": 1.6214046252028823e-05, + "loss": 0.8077, + "step": 589 + }, + { + "epoch": 0.9258078752513117, + "grad_norm": 0.7586472260929925, + "learning_rate": 1.6200753971622387e-05, + "loss": 0.8155, + "step": 590 + }, + { + "epoch": 0.9273770411415682, + "grad_norm": 0.6969293077110756, + "learning_rate": 1.618744386770313e-05, + "loss": 0.7827, + "step": 591 + }, + { + "epoch": 0.9289462070318246, + "grad_norm": 0.7310085843341342, + "learning_rate": 1.617411597852976e-05, + "loss": 0.7897, + "step": 592 + }, + { + "epoch": 0.9305153729220811, + "grad_norm": 0.8143514280731344, + "learning_rate": 1.6160770342412097e-05, + "loss": 0.7906, + "step": 593 + }, + { + "epoch": 0.9320845388123375, + "grad_norm": 0.7111896304465191, + "learning_rate": 1.614740699771098e-05, + "loss": 0.8025, + "step": 594 + }, + { + "epoch": 0.933653704702594, + "grad_norm": 0.7037008978412734, + "learning_rate": 1.6134025982838153e-05, + "loss": 0.8099, + "step": 595 + }, + { + "epoch": 0.9352228705928505, + "grad_norm": 0.6685839806742361, + "learning_rate": 1.6120627336256142e-05, + "loss": 0.7937, + "step": 596 + }, + { + "epoch": 0.9367920364831069, + "grad_norm": 0.6827532038787048, + "learning_rate": 1.610721109647816e-05, + "loss": 0.8105, + "step": 597 + }, + { + "epoch": 0.9383612023733634, + "grad_norm": 0.7455307978046383, + "learning_rate": 1.609377730206799e-05, + "loss": 0.8081, + "step": 598 + }, + { + "epoch": 0.9399303682636199, + "grad_norm": 0.6851142967985461, + "learning_rate": 1.6080325991639866e-05, + "loss": 0.8064, + "step": 599 + }, + { + "epoch": 0.9414995341538763, + "grad_norm": 0.8055141185224926, + "learning_rate": 1.6066857203858387e-05, + "loss": 0.8292, + "step": 600 + }, + { + "epoch": 0.9430687000441328, + "grad_norm": 0.6564242605325623, + "learning_rate": 1.605337097743837e-05, + "loss": 0.8237, + "step": 601 + }, + { + "epoch": 0.9446378659343893, + "grad_norm": 0.7054701247398754, + "learning_rate": 1.6039867351144778e-05, + "loss": 0.7874, + "step": 602 + }, + { + "epoch": 0.9462070318246457, + "grad_norm": 0.7358471397571945, + "learning_rate": 1.6026346363792565e-05, + "loss": 0.7977, + "step": 603 + }, + { + "epoch": 0.9477761977149022, + "grad_norm": 0.6529066045354731, + "learning_rate": 1.6012808054246608e-05, + "loss": 0.8131, + "step": 604 + }, + { + "epoch": 0.9493453636051586, + "grad_norm": 0.6962657017653682, + "learning_rate": 1.5999252461421564e-05, + "loss": 0.7983, + "step": 605 + }, + { + "epoch": 0.9509145294954151, + "grad_norm": 0.6459694871618518, + "learning_rate": 1.5985679624281772e-05, + "loss": 0.7979, + "step": 606 + }, + { + "epoch": 0.9524836953856716, + "grad_norm": 0.6978067782862442, + "learning_rate": 1.597208958184114e-05, + "loss": 0.7997, + "step": 607 + }, + { + "epoch": 0.954052861275928, + "grad_norm": 0.6068382673996924, + "learning_rate": 1.595848237316303e-05, + "loss": 0.8017, + "step": 608 + }, + { + "epoch": 0.9556220271661845, + "grad_norm": 0.6789099200038117, + "learning_rate": 1.5944858037360145e-05, + "loss": 0.8076, + "step": 609 + }, + { + "epoch": 0.957191193056441, + "grad_norm": 0.6596958956112973, + "learning_rate": 1.5931216613594426e-05, + "loss": 0.7958, + "step": 610 + }, + { + "epoch": 0.9587603589466974, + "grad_norm": 0.6296782433758215, + "learning_rate": 1.5917558141076915e-05, + "loss": 0.7926, + "step": 611 + }, + { + "epoch": 0.9603295248369539, + "grad_norm": 0.6805938856593269, + "learning_rate": 1.590388265906768e-05, + "loss": 0.8197, + "step": 612 + }, + { + "epoch": 0.9618986907272103, + "grad_norm": 0.6410835407854243, + "learning_rate": 1.5890190206875663e-05, + "loss": 0.784, + "step": 613 + }, + { + "epoch": 0.9634678566174668, + "grad_norm": 0.6277299047590931, + "learning_rate": 1.58764808238586e-05, + "loss": 0.7902, + "step": 614 + }, + { + "epoch": 0.9650370225077233, + "grad_norm": 0.6772710416091088, + "learning_rate": 1.5862754549422884e-05, + "loss": 0.7988, + "step": 615 + }, + { + "epoch": 0.9666061883979797, + "grad_norm": 0.6181929496022875, + "learning_rate": 1.5849011423023463e-05, + "loss": 0.7938, + "step": 616 + }, + { + "epoch": 0.9681753542882362, + "grad_norm": 0.6247195756779031, + "learning_rate": 1.5835251484163728e-05, + "loss": 0.8203, + "step": 617 + }, + { + "epoch": 0.9697445201784927, + "grad_norm": 0.6604799598320987, + "learning_rate": 1.5821474772395385e-05, + "loss": 0.8037, + "step": 618 + }, + { + "epoch": 0.9713136860687491, + "grad_norm": 0.6873045775586228, + "learning_rate": 1.5807681327318372e-05, + "loss": 0.7987, + "step": 619 + }, + { + "epoch": 0.9728828519590056, + "grad_norm": 0.6508798780264626, + "learning_rate": 1.5793871188580704e-05, + "loss": 0.8004, + "step": 620 + }, + { + "epoch": 0.974452017849262, + "grad_norm": 0.7422396353508237, + "learning_rate": 1.578004439587839e-05, + "loss": 0.8181, + "step": 621 + }, + { + "epoch": 0.9760211837395185, + "grad_norm": 0.7019113344967481, + "learning_rate": 1.5766200988955315e-05, + "loss": 0.7923, + "step": 622 + }, + { + "epoch": 0.9775903496297749, + "grad_norm": 0.708015835537674, + "learning_rate": 1.575234100760311e-05, + "loss": 0.8026, + "step": 623 + }, + { + "epoch": 0.9791595155200313, + "grad_norm": 0.6597727898719461, + "learning_rate": 1.5738464491661054e-05, + "loss": 0.7918, + "step": 624 + }, + { + "epoch": 0.9807286814102878, + "grad_norm": 0.7287073025117725, + "learning_rate": 1.5724571481015953e-05, + "loss": 0.7694, + "step": 625 + }, + { + "epoch": 0.9822978473005443, + "grad_norm": 0.6803212996836236, + "learning_rate": 1.5710662015602016e-05, + "loss": 0.8232, + "step": 626 + }, + { + "epoch": 0.9838670131908007, + "grad_norm": 0.6634984218475023, + "learning_rate": 1.5696736135400765e-05, + "loss": 0.7971, + "step": 627 + }, + { + "epoch": 0.9854361790810572, + "grad_norm": 0.69890043399333, + "learning_rate": 1.5682793880440895e-05, + "loss": 0.8126, + "step": 628 + }, + { + "epoch": 0.9870053449713136, + "grad_norm": 0.651169439597212, + "learning_rate": 1.566883529079817e-05, + "loss": 0.7793, + "step": 629 + }, + { + "epoch": 0.9885745108615701, + "grad_norm": 0.760055267233693, + "learning_rate": 1.5654860406595312e-05, + "loss": 0.8125, + "step": 630 + }, + { + "epoch": 0.9901436767518266, + "grad_norm": 0.7551011983188946, + "learning_rate": 1.5640869268001875e-05, + "loss": 0.8128, + "step": 631 + }, + { + "epoch": 0.991712842642083, + "grad_norm": 0.6831265112531708, + "learning_rate": 1.562686191523413e-05, + "loss": 0.7988, + "step": 632 + }, + { + "epoch": 0.9932820085323395, + "grad_norm": 0.6219245966811059, + "learning_rate": 1.5612838388554966e-05, + "loss": 0.798, + "step": 633 + }, + { + "epoch": 0.994851174422596, + "grad_norm": 0.6964076748363703, + "learning_rate": 1.5598798728273753e-05, + "loss": 0.7923, + "step": 634 + }, + { + "epoch": 0.9964203403128524, + "grad_norm": 0.770883927331421, + "learning_rate": 1.5584742974746242e-05, + "loss": 0.815, + "step": 635 + }, + { + "epoch": 0.9979895062031089, + "grad_norm": 0.6772179151384508, + "learning_rate": 1.557067116837444e-05, + "loss": 0.8173, + "step": 636 + }, + { + "epoch": 0.9995586720933654, + "grad_norm": 0.668345093008785, + "learning_rate": 1.5556583349606492e-05, + "loss": 0.7858, + "step": 637 + }, + { + "epoch": 1.001127837983622, + "grad_norm": 0.7803388353156092, + "learning_rate": 1.5542479558936572e-05, + "loss": 0.7356, + "step": 638 + }, + { + "epoch": 1.0026970038738783, + "grad_norm": 0.7541533192368013, + "learning_rate": 1.5528359836904774e-05, + "loss": 0.7531, + "step": 639 + }, + { + "epoch": 1.0042661697641349, + "grad_norm": 0.6935113060988236, + "learning_rate": 1.551422422409697e-05, + "loss": 0.7336, + "step": 640 + }, + { + "epoch": 1.0058353356543912, + "grad_norm": 0.7637416776658377, + "learning_rate": 1.5500072761144712e-05, + "loss": 0.7449, + "step": 641 + }, + { + "epoch": 1.0074045015446478, + "grad_norm": 0.748625067791586, + "learning_rate": 1.5485905488725126e-05, + "loss": 0.7301, + "step": 642 + }, + { + "epoch": 1.0089736674349041, + "grad_norm": 0.7528740869999863, + "learning_rate": 1.5471722447560757e-05, + "loss": 0.75, + "step": 643 + }, + { + "epoch": 1.0105428333251605, + "grad_norm": 0.6412858721686633, + "learning_rate": 1.5457523678419498e-05, + "loss": 0.7241, + "step": 644 + }, + { + "epoch": 1.012111999215417, + "grad_norm": 0.826256044071756, + "learning_rate": 1.5443309222114434e-05, + "loss": 0.756, + "step": 645 + }, + { + "epoch": 1.0136811651056734, + "grad_norm": 0.7145799807315482, + "learning_rate": 1.5429079119503752e-05, + "loss": 0.7259, + "step": 646 + }, + { + "epoch": 1.01525033099593, + "grad_norm": 0.6475158763865285, + "learning_rate": 1.5414833411490612e-05, + "loss": 0.7477, + "step": 647 + }, + { + "epoch": 1.0168194968861863, + "grad_norm": 0.7281077002979637, + "learning_rate": 1.5400572139023026e-05, + "loss": 0.7218, + "step": 648 + }, + { + "epoch": 1.018388662776443, + "grad_norm": 0.745008142531903, + "learning_rate": 1.5386295343093743e-05, + "loss": 0.7278, + "step": 649 + }, + { + "epoch": 1.0199578286666993, + "grad_norm": 0.596703405304876, + "learning_rate": 1.537200306474014e-05, + "loss": 0.7168, + "step": 650 + }, + { + "epoch": 1.0215269945569558, + "grad_norm": 0.66818392318934, + "learning_rate": 1.5357695345044096e-05, + "loss": 0.7111, + "step": 651 + }, + { + "epoch": 1.0230961604472122, + "grad_norm": 0.6890967493522583, + "learning_rate": 1.5343372225131863e-05, + "loss": 0.7301, + "step": 652 + }, + { + "epoch": 1.0246653263374688, + "grad_norm": 0.7105057085919756, + "learning_rate": 1.5329033746173975e-05, + "loss": 0.7028, + "step": 653 + }, + { + "epoch": 1.0262344922277251, + "grad_norm": 0.6490853329771772, + "learning_rate": 1.5314679949385105e-05, + "loss": 0.7267, + "step": 654 + }, + { + "epoch": 1.0278036581179817, + "grad_norm": 0.7135115488094335, + "learning_rate": 1.530031087602396e-05, + "loss": 0.7226, + "step": 655 + }, + { + "epoch": 1.029372824008238, + "grad_norm": 0.6752809293469212, + "learning_rate": 1.5285926567393158e-05, + "loss": 0.7197, + "step": 656 + }, + { + "epoch": 1.0309419898984946, + "grad_norm": 0.6330814107063447, + "learning_rate": 1.5271527064839107e-05, + "loss": 0.7489, + "step": 657 + }, + { + "epoch": 1.032511155788751, + "grad_norm": 0.6878492533579073, + "learning_rate": 1.5257112409751886e-05, + "loss": 0.7377, + "step": 658 + }, + { + "epoch": 1.0340803216790075, + "grad_norm": 0.6674789984104226, + "learning_rate": 1.5242682643565135e-05, + "loss": 0.7208, + "step": 659 + }, + { + "epoch": 1.035649487569264, + "grad_norm": 0.657117739008243, + "learning_rate": 1.5228237807755925e-05, + "loss": 0.7303, + "step": 660 + }, + { + "epoch": 1.0372186534595205, + "grad_norm": 0.6767574155048245, + "learning_rate": 1.5213777943844648e-05, + "loss": 0.7407, + "step": 661 + }, + { + "epoch": 1.0387878193497768, + "grad_norm": 0.6912916163166987, + "learning_rate": 1.5199303093394883e-05, + "loss": 0.727, + "step": 662 + }, + { + "epoch": 1.0403569852400334, + "grad_norm": 0.6699302597943366, + "learning_rate": 1.5184813298013304e-05, + "loss": 0.7347, + "step": 663 + }, + { + "epoch": 1.0419261511302897, + "grad_norm": 0.6620724775997375, + "learning_rate": 1.5170308599349524e-05, + "loss": 0.7454, + "step": 664 + }, + { + "epoch": 1.0434953170205463, + "grad_norm": 0.6846086093807906, + "learning_rate": 1.5155789039096005e-05, + "loss": 0.7305, + "step": 665 + }, + { + "epoch": 1.0450644829108027, + "grad_norm": 0.6974910569549667, + "learning_rate": 1.5141254658987922e-05, + "loss": 0.7182, + "step": 666 + }, + { + "epoch": 1.0466336488010592, + "grad_norm": 0.6761012200383468, + "learning_rate": 1.5126705500803055e-05, + "loss": 0.7431, + "step": 667 + }, + { + "epoch": 1.0482028146913156, + "grad_norm": 0.7116609578466914, + "learning_rate": 1.5112141606361657e-05, + "loss": 0.7052, + "step": 668 + }, + { + "epoch": 1.0497719805815722, + "grad_norm": 0.6486505551529763, + "learning_rate": 1.5097563017526336e-05, + "loss": 0.7362, + "step": 669 + }, + { + "epoch": 1.0513411464718285, + "grad_norm": 0.7280159021660275, + "learning_rate": 1.5082969776201948e-05, + "loss": 0.7384, + "step": 670 + }, + { + "epoch": 1.052910312362085, + "grad_norm": 0.5974562161059254, + "learning_rate": 1.5068361924335457e-05, + "loss": 0.7164, + "step": 671 + }, + { + "epoch": 1.0544794782523415, + "grad_norm": 0.654157948660559, + "learning_rate": 1.505373950391583e-05, + "loss": 0.7062, + "step": 672 + }, + { + "epoch": 1.056048644142598, + "grad_norm": 0.7288734094958, + "learning_rate": 1.5039102556973899e-05, + "loss": 0.7237, + "step": 673 + }, + { + "epoch": 1.0576178100328544, + "grad_norm": 0.7272863503548945, + "learning_rate": 1.5024451125582271e-05, + "loss": 0.7189, + "step": 674 + }, + { + "epoch": 1.059186975923111, + "grad_norm": 0.6597557887721957, + "learning_rate": 1.5009785251855164e-05, + "loss": 0.7231, + "step": 675 + }, + { + "epoch": 1.0607561418133673, + "grad_norm": 0.6888057732787886, + "learning_rate": 1.4995104977948331e-05, + "loss": 0.7448, + "step": 676 + }, + { + "epoch": 1.0623253077036239, + "grad_norm": 0.7517206654601427, + "learning_rate": 1.49804103460589e-05, + "loss": 0.7238, + "step": 677 + }, + { + "epoch": 1.0638944735938802, + "grad_norm": 0.7536335190220884, + "learning_rate": 1.4965701398425275e-05, + "loss": 0.7255, + "step": 678 + }, + { + "epoch": 1.0654636394841368, + "grad_norm": 0.7202992167808299, + "learning_rate": 1.4950978177327016e-05, + "loss": 0.722, + "step": 679 + }, + { + "epoch": 1.0670328053743932, + "grad_norm": 0.723904254278952, + "learning_rate": 1.4936240725084701e-05, + "loss": 0.7354, + "step": 680 + }, + { + "epoch": 1.0686019712646497, + "grad_norm": 0.7439928284873452, + "learning_rate": 1.4921489084059823e-05, + "loss": 0.7129, + "step": 681 + }, + { + "epoch": 1.070171137154906, + "grad_norm": 0.6888363367701373, + "learning_rate": 1.4906723296654652e-05, + "loss": 0.7384, + "step": 682 + }, + { + "epoch": 1.0717403030451627, + "grad_norm": 0.6967227398393554, + "learning_rate": 1.4891943405312126e-05, + "loss": 0.7353, + "step": 683 + }, + { + "epoch": 1.073309468935419, + "grad_norm": 0.794666467584343, + "learning_rate": 1.4877149452515718e-05, + "loss": 0.7132, + "step": 684 + }, + { + "epoch": 1.0748786348256756, + "grad_norm": 0.6602649754123938, + "learning_rate": 1.4862341480789322e-05, + "loss": 0.7146, + "step": 685 + }, + { + "epoch": 1.076447800715932, + "grad_norm": 0.8894682823538541, + "learning_rate": 1.484751953269713e-05, + "loss": 0.7375, + "step": 686 + }, + { + "epoch": 1.0780169666061883, + "grad_norm": 0.7585247138160331, + "learning_rate": 1.483268365084351e-05, + "loss": 0.7157, + "step": 687 + }, + { + "epoch": 1.0795861324964449, + "grad_norm": 0.7117654864119813, + "learning_rate": 1.481783387787287e-05, + "loss": 0.7052, + "step": 688 + }, + { + "epoch": 1.0811552983867014, + "grad_norm": 0.7344324037870501, + "learning_rate": 1.4802970256469564e-05, + "loss": 0.7241, + "step": 689 + }, + { + "epoch": 1.0827244642769578, + "grad_norm": 0.8246376521345272, + "learning_rate": 1.4788092829357736e-05, + "loss": 0.7255, + "step": 690 + }, + { + "epoch": 1.0842936301672141, + "grad_norm": 0.7457152420569799, + "learning_rate": 1.4773201639301223e-05, + "loss": 0.7239, + "step": 691 + }, + { + "epoch": 1.0858627960574707, + "grad_norm": 0.6845725156795525, + "learning_rate": 1.4758296729103413e-05, + "loss": 0.7202, + "step": 692 + }, + { + "epoch": 1.087431961947727, + "grad_norm": 0.6635657637485262, + "learning_rate": 1.4743378141607146e-05, + "loss": 0.7221, + "step": 693 + }, + { + "epoch": 1.0890011278379836, + "grad_norm": 0.7144072518590094, + "learning_rate": 1.4728445919694563e-05, + "loss": 0.7106, + "step": 694 + }, + { + "epoch": 1.09057029372824, + "grad_norm": 0.6914091269695335, + "learning_rate": 1.4713500106287e-05, + "loss": 0.7142, + "step": 695 + }, + { + "epoch": 1.0921394596184966, + "grad_norm": 0.6442449050355384, + "learning_rate": 1.4698540744344864e-05, + "loss": 0.7291, + "step": 696 + }, + { + "epoch": 1.093708625508753, + "grad_norm": 0.7010092912473106, + "learning_rate": 1.4683567876867503e-05, + "loss": 0.7278, + "step": 697 + }, + { + "epoch": 1.0952777913990095, + "grad_norm": 0.6958420274973538, + "learning_rate": 1.4668581546893086e-05, + "loss": 0.7157, + "step": 698 + }, + { + "epoch": 1.0968469572892658, + "grad_norm": 0.7332870445914398, + "learning_rate": 1.4653581797498477e-05, + "loss": 0.7189, + "step": 699 + }, + { + "epoch": 1.0984161231795224, + "grad_norm": 0.6665929969073299, + "learning_rate": 1.4638568671799113e-05, + "loss": 0.7281, + "step": 700 + }, + { + "epoch": 1.0999852890697788, + "grad_norm": 0.6833765726881289, + "learning_rate": 1.4623542212948887e-05, + "loss": 0.7269, + "step": 701 + }, + { + "epoch": 1.1015544549600353, + "grad_norm": 0.7928659779727998, + "learning_rate": 1.4608502464140002e-05, + "loss": 0.7094, + "step": 702 + }, + { + "epoch": 1.1031236208502917, + "grad_norm": 0.6567329845650816, + "learning_rate": 1.4593449468602878e-05, + "loss": 0.7345, + "step": 703 + }, + { + "epoch": 1.1046927867405483, + "grad_norm": 0.6578233587658882, + "learning_rate": 1.4578383269606004e-05, + "loss": 0.7194, + "step": 704 + }, + { + "epoch": 1.1062619526308046, + "grad_norm": 0.678695684331327, + "learning_rate": 1.4563303910455821e-05, + "loss": 0.7255, + "step": 705 + }, + { + "epoch": 1.1078311185210612, + "grad_norm": 0.6779685173206671, + "learning_rate": 1.4548211434496598e-05, + "loss": 0.722, + "step": 706 + }, + { + "epoch": 1.1094002844113175, + "grad_norm": 0.6314744333887462, + "learning_rate": 1.4533105885110307e-05, + "loss": 0.7216, + "step": 707 + }, + { + "epoch": 1.1109694503015741, + "grad_norm": 0.6502234664163404, + "learning_rate": 1.4517987305716502e-05, + "loss": 0.7073, + "step": 708 + }, + { + "epoch": 1.1125386161918305, + "grad_norm": 0.7175775943504926, + "learning_rate": 1.4502855739772184e-05, + "loss": 0.7144, + "step": 709 + }, + { + "epoch": 1.114107782082087, + "grad_norm": 0.5783185520260196, + "learning_rate": 1.4487711230771686e-05, + "loss": 0.7234, + "step": 710 + }, + { + "epoch": 1.1156769479723434, + "grad_norm": 0.6231893108916796, + "learning_rate": 1.4472553822246548e-05, + "loss": 0.7153, + "step": 711 + }, + { + "epoch": 1.1172461138626, + "grad_norm": 0.632956161157449, + "learning_rate": 1.4457383557765385e-05, + "loss": 0.7358, + "step": 712 + }, + { + "epoch": 1.1188152797528563, + "grad_norm": 0.6553940813975944, + "learning_rate": 1.4442200480933761e-05, + "loss": 0.7216, + "step": 713 + }, + { + "epoch": 1.120384445643113, + "grad_norm": 0.6897533234088822, + "learning_rate": 1.442700463539408e-05, + "loss": 0.7311, + "step": 714 + }, + { + "epoch": 1.1219536115333693, + "grad_norm": 0.652847984685953, + "learning_rate": 1.4411796064825436e-05, + "loss": 0.7292, + "step": 715 + }, + { + "epoch": 1.1235227774236258, + "grad_norm": 0.6700420140424015, + "learning_rate": 1.439657481294351e-05, + "loss": 0.7303, + "step": 716 + }, + { + "epoch": 1.1250919433138822, + "grad_norm": 0.6808545629120182, + "learning_rate": 1.4381340923500422e-05, + "loss": 0.7236, + "step": 717 + }, + { + "epoch": 1.1266611092041388, + "grad_norm": 0.6536634238814496, + "learning_rate": 1.4366094440284632e-05, + "loss": 0.717, + "step": 718 + }, + { + "epoch": 1.128230275094395, + "grad_norm": 0.6088038345099579, + "learning_rate": 1.435083540712079e-05, + "loss": 0.7274, + "step": 719 + }, + { + "epoch": 1.1297994409846517, + "grad_norm": 0.6884030984569609, + "learning_rate": 1.4335563867869618e-05, + "loss": 0.7274, + "step": 720 + }, + { + "epoch": 1.131368606874908, + "grad_norm": 0.6862114045899801, + "learning_rate": 1.4320279866427798e-05, + "loss": 0.7402, + "step": 721 + }, + { + "epoch": 1.1329377727651646, + "grad_norm": 0.663924831018658, + "learning_rate": 1.430498344672782e-05, + "loss": 0.7245, + "step": 722 + }, + { + "epoch": 1.134506938655421, + "grad_norm": 0.7009174871348716, + "learning_rate": 1.4289674652737877e-05, + "loss": 0.7195, + "step": 723 + }, + { + "epoch": 1.1360761045456775, + "grad_norm": 0.6401414921019333, + "learning_rate": 1.4274353528461728e-05, + "loss": 0.7251, + "step": 724 + }, + { + "epoch": 1.1376452704359339, + "grad_norm": 0.6623338594853233, + "learning_rate": 1.4259020117938574e-05, + "loss": 0.7143, + "step": 725 + }, + { + "epoch": 1.1392144363261902, + "grad_norm": 0.7038453216768193, + "learning_rate": 1.4243674465242934e-05, + "loss": 0.7413, + "step": 726 + }, + { + "epoch": 1.1407836022164468, + "grad_norm": 0.6001545347663756, + "learning_rate": 1.4228316614484511e-05, + "loss": 0.7197, + "step": 727 + }, + { + "epoch": 1.1423527681067034, + "grad_norm": 0.6238452842054542, + "learning_rate": 1.4212946609808079e-05, + "loss": 0.7233, + "step": 728 + }, + { + "epoch": 1.1439219339969597, + "grad_norm": 0.6693838531750909, + "learning_rate": 1.4197564495393334e-05, + "loss": 0.7203, + "step": 729 + }, + { + "epoch": 1.145491099887216, + "grad_norm": 0.6342589745019122, + "learning_rate": 1.4182170315454798e-05, + "loss": 0.7326, + "step": 730 + }, + { + "epoch": 1.1470602657774727, + "grad_norm": 0.812157778897247, + "learning_rate": 1.4166764114241657e-05, + "loss": 0.7144, + "step": 731 + }, + { + "epoch": 1.1486294316677292, + "grad_norm": 0.6446321313076545, + "learning_rate": 1.4151345936037664e-05, + "loss": 0.7132, + "step": 732 + }, + { + "epoch": 1.1501985975579856, + "grad_norm": 0.6147445437009036, + "learning_rate": 1.413591582516099e-05, + "loss": 0.7384, + "step": 733 + }, + { + "epoch": 1.151767763448242, + "grad_norm": 0.6342181435018887, + "learning_rate": 1.4120473825964112e-05, + "loss": 0.737, + "step": 734 + }, + { + "epoch": 1.1533369293384985, + "grad_norm": 0.6587877437587489, + "learning_rate": 1.4105019982833674e-05, + "loss": 0.7151, + "step": 735 + }, + { + "epoch": 1.1549060952287549, + "grad_norm": 0.6537503190247131, + "learning_rate": 1.4089554340190365e-05, + "loss": 0.725, + "step": 736 + }, + { + "epoch": 1.1564752611190114, + "grad_norm": 0.6142318456564848, + "learning_rate": 1.4074076942488794e-05, + "loss": 0.7119, + "step": 737 + }, + { + "epoch": 1.1580444270092678, + "grad_norm": 0.6378727308612256, + "learning_rate": 1.4058587834217356e-05, + "loss": 0.7139, + "step": 738 + }, + { + "epoch": 1.1596135928995244, + "grad_norm": 0.6808954236194737, + "learning_rate": 1.404308705989811e-05, + "loss": 0.7317, + "step": 739 + }, + { + "epoch": 1.1611827587897807, + "grad_norm": 0.6202247666014872, + "learning_rate": 1.4027574664086641e-05, + "loss": 0.7253, + "step": 740 + }, + { + "epoch": 1.1627519246800373, + "grad_norm": 0.6120356659088082, + "learning_rate": 1.4012050691371948e-05, + "loss": 0.7209, + "step": 741 + }, + { + "epoch": 1.1643210905702936, + "grad_norm": 0.699382990304684, + "learning_rate": 1.3996515186376298e-05, + "loss": 0.7004, + "step": 742 + }, + { + "epoch": 1.1658902564605502, + "grad_norm": 0.6534250771619439, + "learning_rate": 1.3980968193755115e-05, + "loss": 0.723, + "step": 743 + }, + { + "epoch": 1.1674594223508066, + "grad_norm": 0.6360644274914368, + "learning_rate": 1.3965409758196838e-05, + "loss": 0.7123, + "step": 744 + }, + { + "epoch": 1.1690285882410631, + "grad_norm": 0.7111862414760431, + "learning_rate": 1.3949839924422798e-05, + "loss": 0.7189, + "step": 745 + }, + { + "epoch": 1.1705977541313195, + "grad_norm": 0.8081990423548935, + "learning_rate": 1.3934258737187087e-05, + "loss": 0.7223, + "step": 746 + }, + { + "epoch": 1.172166920021576, + "grad_norm": 0.6891489914761177, + "learning_rate": 1.3918666241276442e-05, + "loss": 0.7118, + "step": 747 + }, + { + "epoch": 1.1737360859118324, + "grad_norm": 0.7017431769982081, + "learning_rate": 1.390306248151009e-05, + "loss": 0.7293, + "step": 748 + }, + { + "epoch": 1.175305251802089, + "grad_norm": 0.8561422174851111, + "learning_rate": 1.3887447502739649e-05, + "loss": 0.733, + "step": 749 + }, + { + "epoch": 1.1768744176923454, + "grad_norm": 0.7801804711838448, + "learning_rate": 1.3871821349848977e-05, + "loss": 0.7166, + "step": 750 + }, + { + "epoch": 1.178443583582602, + "grad_norm": 0.6844665558684861, + "learning_rate": 1.3856184067754053e-05, + "loss": 0.7311, + "step": 751 + }, + { + "epoch": 1.1800127494728583, + "grad_norm": 0.6838754450457964, + "learning_rate": 1.3840535701402847e-05, + "loss": 0.725, + "step": 752 + }, + { + "epoch": 1.1815819153631149, + "grad_norm": 0.8355096684243345, + "learning_rate": 1.3824876295775187e-05, + "loss": 0.7054, + "step": 753 + }, + { + "epoch": 1.1831510812533712, + "grad_norm": 0.6994375840647716, + "learning_rate": 1.3809205895882635e-05, + "loss": 0.7439, + "step": 754 + }, + { + "epoch": 1.1847202471436278, + "grad_norm": 0.625280968043297, + "learning_rate": 1.3793524546768358e-05, + "loss": 0.7363, + "step": 755 + }, + { + "epoch": 1.1862894130338841, + "grad_norm": 0.7952663185665346, + "learning_rate": 1.3777832293506985e-05, + "loss": 0.7299, + "step": 756 + }, + { + "epoch": 1.1878585789241407, + "grad_norm": 0.7136619606631258, + "learning_rate": 1.3762129181204502e-05, + "loss": 0.7178, + "step": 757 + }, + { + "epoch": 1.189427744814397, + "grad_norm": 0.7151037409561691, + "learning_rate": 1.3746415254998095e-05, + "loss": 0.7234, + "step": 758 + }, + { + "epoch": 1.1909969107046536, + "grad_norm": 0.7534371098019876, + "learning_rate": 1.3730690560056043e-05, + "loss": 0.7358, + "step": 759 + }, + { + "epoch": 1.19256607659491, + "grad_norm": 0.6561493218889439, + "learning_rate": 1.3714955141577573e-05, + "loss": 0.7012, + "step": 760 + }, + { + "epoch": 1.1941352424851666, + "grad_norm": 0.6467586929020817, + "learning_rate": 1.3699209044792743e-05, + "loss": 0.7178, + "step": 761 + }, + { + "epoch": 1.195704408375423, + "grad_norm": 0.7512650743410423, + "learning_rate": 1.3683452314962295e-05, + "loss": 0.7178, + "step": 762 + }, + { + "epoch": 1.1972735742656795, + "grad_norm": 0.6525744254059402, + "learning_rate": 1.3667684997377542e-05, + "loss": 0.6999, + "step": 763 + }, + { + "epoch": 1.1988427401559358, + "grad_norm": 0.6412166724199153, + "learning_rate": 1.365190713736023e-05, + "loss": 0.7277, + "step": 764 + }, + { + "epoch": 1.2004119060461924, + "grad_norm": 0.6524839068324342, + "learning_rate": 1.3636118780262405e-05, + "loss": 0.7145, + "step": 765 + }, + { + "epoch": 1.2019810719364488, + "grad_norm": 0.6941780975807582, + "learning_rate": 1.3620319971466288e-05, + "loss": 0.6978, + "step": 766 + }, + { + "epoch": 1.2035502378267053, + "grad_norm": 0.6528914685779267, + "learning_rate": 1.3604510756384141e-05, + "loss": 0.726, + "step": 767 + }, + { + "epoch": 1.2051194037169617, + "grad_norm": 0.6728320802721812, + "learning_rate": 1.3588691180458143e-05, + "loss": 0.7346, + "step": 768 + }, + { + "epoch": 1.206688569607218, + "grad_norm": 0.6796777970406698, + "learning_rate": 1.3572861289160245e-05, + "loss": 0.7067, + "step": 769 + }, + { + "epoch": 1.2082577354974746, + "grad_norm": 0.633779910604212, + "learning_rate": 1.3557021127992055e-05, + "loss": 0.7008, + "step": 770 + }, + { + "epoch": 1.2098269013877312, + "grad_norm": 0.6428649575602099, + "learning_rate": 1.3541170742484705e-05, + "loss": 0.7212, + "step": 771 + }, + { + "epoch": 1.2113960672779875, + "grad_norm": 0.6547919283959451, + "learning_rate": 1.3525310178198707e-05, + "loss": 0.7426, + "step": 772 + }, + { + "epoch": 1.212965233168244, + "grad_norm": 0.6758542651299493, + "learning_rate": 1.3509439480723835e-05, + "loss": 0.7277, + "step": 773 + }, + { + "epoch": 1.2145343990585005, + "grad_norm": 0.6632989746423631, + "learning_rate": 1.3493558695678992e-05, + "loss": 0.7351, + "step": 774 + }, + { + "epoch": 1.216103564948757, + "grad_norm": 0.6737948427199923, + "learning_rate": 1.347766786871207e-05, + "loss": 0.7132, + "step": 775 + }, + { + "epoch": 1.2176727308390134, + "grad_norm": 0.613664926888893, + "learning_rate": 1.3461767045499834e-05, + "loss": 0.7085, + "step": 776 + }, + { + "epoch": 1.2192418967292697, + "grad_norm": 0.7189106691619672, + "learning_rate": 1.3445856271747777e-05, + "loss": 0.7202, + "step": 777 + }, + { + "epoch": 1.2208110626195263, + "grad_norm": 0.6970045979027315, + "learning_rate": 1.3429935593189996e-05, + "loss": 0.7364, + "step": 778 + }, + { + "epoch": 1.2223802285097827, + "grad_norm": 0.6501064907259375, + "learning_rate": 1.3414005055589057e-05, + "loss": 0.7335, + "step": 779 + }, + { + "epoch": 1.2239493944000392, + "grad_norm": 0.7288492056653614, + "learning_rate": 1.3398064704735862e-05, + "loss": 0.7472, + "step": 780 + }, + { + "epoch": 1.2255185602902956, + "grad_norm": 0.63512445384459, + "learning_rate": 1.3382114586449533e-05, + "loss": 0.7205, + "step": 781 + }, + { + "epoch": 1.2270877261805522, + "grad_norm": 0.6802757181095903, + "learning_rate": 1.3366154746577254e-05, + "loss": 0.7087, + "step": 782 + }, + { + "epoch": 1.2286568920708085, + "grad_norm": 0.6614354443478233, + "learning_rate": 1.3350185230994157e-05, + "loss": 0.7131, + "step": 783 + }, + { + "epoch": 1.230226057961065, + "grad_norm": 0.6961912892855205, + "learning_rate": 1.3334206085603186e-05, + "loss": 0.7344, + "step": 784 + }, + { + "epoch": 1.2317952238513215, + "grad_norm": 0.628800560490552, + "learning_rate": 1.3318217356334967e-05, + "loss": 0.7327, + "step": 785 + }, + { + "epoch": 1.233364389741578, + "grad_norm": 0.6672480947779101, + "learning_rate": 1.3302219089147675e-05, + "loss": 0.7006, + "step": 786 + }, + { + "epoch": 1.2349335556318344, + "grad_norm": 0.6448005745755109, + "learning_rate": 1.3286211330026894e-05, + "loss": 0.7056, + "step": 787 + }, + { + "epoch": 1.236502721522091, + "grad_norm": 0.6765035508388694, + "learning_rate": 1.3270194124985499e-05, + "loss": 0.7042, + "step": 788 + }, + { + "epoch": 1.2380718874123473, + "grad_norm": 0.647612951228948, + "learning_rate": 1.325416752006351e-05, + "loss": 0.7176, + "step": 789 + }, + { + "epoch": 1.2396410533026039, + "grad_norm": 0.6339962885133088, + "learning_rate": 1.3238131561327976e-05, + "loss": 0.7378, + "step": 790 + }, + { + "epoch": 1.2412102191928602, + "grad_norm": 0.6286832535598963, + "learning_rate": 1.3222086294872818e-05, + "loss": 0.6975, + "step": 791 + }, + { + "epoch": 1.2427793850831168, + "grad_norm": 0.6162134218155843, + "learning_rate": 1.320603176681873e-05, + "loss": 0.703, + "step": 792 + }, + { + "epoch": 1.2443485509733732, + "grad_norm": 0.6364009286271917, + "learning_rate": 1.318996802331301e-05, + "loss": 0.7414, + "step": 793 + }, + { + "epoch": 1.2459177168636297, + "grad_norm": 0.6171774323053136, + "learning_rate": 1.3173895110529454e-05, + "loss": 0.7154, + "step": 794 + }, + { + "epoch": 1.247486882753886, + "grad_norm": 0.6681351003352828, + "learning_rate": 1.3157813074668213e-05, + "loss": 0.7326, + "step": 795 + }, + { + "epoch": 1.2490560486441427, + "grad_norm": 0.6922564812364559, + "learning_rate": 1.3141721961955658e-05, + "loss": 0.7361, + "step": 796 + }, + { + "epoch": 1.250625214534399, + "grad_norm": 0.6245513089701152, + "learning_rate": 1.3125621818644258e-05, + "loss": 0.7005, + "step": 797 + }, + { + "epoch": 1.2521943804246556, + "grad_norm": 0.6756554219192724, + "learning_rate": 1.3109512691012434e-05, + "loss": 0.7336, + "step": 798 + }, + { + "epoch": 1.253763546314912, + "grad_norm": 0.6316842690348985, + "learning_rate": 1.3093394625364433e-05, + "loss": 0.7289, + "step": 799 + }, + { + "epoch": 1.2553327122051685, + "grad_norm": 0.6594970458642331, + "learning_rate": 1.3077267668030194e-05, + "loss": 0.735, + "step": 800 + }, + { + "epoch": 1.2569018780954249, + "grad_norm": 0.6774121437546732, + "learning_rate": 1.3061131865365211e-05, + "loss": 0.7332, + "step": 801 + }, + { + "epoch": 1.2584710439856814, + "grad_norm": 0.672321809942326, + "learning_rate": 1.3044987263750409e-05, + "loss": 0.7121, + "step": 802 + }, + { + "epoch": 1.2600402098759378, + "grad_norm": 0.6527618468069383, + "learning_rate": 1.3028833909591999e-05, + "loss": 0.7213, + "step": 803 + }, + { + "epoch": 1.2616093757661944, + "grad_norm": 0.6822686695702428, + "learning_rate": 1.3012671849321351e-05, + "loss": 0.7206, + "step": 804 + }, + { + "epoch": 1.2631785416564507, + "grad_norm": 0.7522933567335175, + "learning_rate": 1.2996501129394872e-05, + "loss": 0.7433, + "step": 805 + }, + { + "epoch": 1.2647477075467073, + "grad_norm": 0.7042896031448598, + "learning_rate": 1.2980321796293838e-05, + "loss": 0.7248, + "step": 806 + }, + { + "epoch": 1.2663168734369636, + "grad_norm": 0.629881001262114, + "learning_rate": 1.2964133896524305e-05, + "loss": 0.7209, + "step": 807 + }, + { + "epoch": 1.26788603932722, + "grad_norm": 0.7250615513612696, + "learning_rate": 1.2947937476616938e-05, + "loss": 0.7348, + "step": 808 + }, + { + "epoch": 1.2694552052174766, + "grad_norm": 0.5960591541052541, + "learning_rate": 1.29317325831269e-05, + "loss": 0.7036, + "step": 809 + }, + { + "epoch": 1.2710243711077331, + "grad_norm": 0.6460594144376343, + "learning_rate": 1.2915519262633704e-05, + "loss": 0.7256, + "step": 810 + }, + { + "epoch": 1.2725935369979895, + "grad_norm": 0.6504432261618547, + "learning_rate": 1.2899297561741097e-05, + "loss": 0.7315, + "step": 811 + }, + { + "epoch": 1.2741627028882458, + "grad_norm": 0.6589905476272644, + "learning_rate": 1.2883067527076904e-05, + "loss": 0.7374, + "step": 812 + }, + { + "epoch": 1.2757318687785024, + "grad_norm": 0.652258833483685, + "learning_rate": 1.286682920529291e-05, + "loss": 0.6959, + "step": 813 + }, + { + "epoch": 1.277301034668759, + "grad_norm": 0.6376618945006635, + "learning_rate": 1.2850582643064713e-05, + "loss": 0.7477, + "step": 814 + }, + { + "epoch": 1.2788702005590153, + "grad_norm": 0.6288339391724042, + "learning_rate": 1.2834327887091611e-05, + "loss": 0.723, + "step": 815 + }, + { + "epoch": 1.2804393664492717, + "grad_norm": 0.6841754013444288, + "learning_rate": 1.2818064984096443e-05, + "loss": 0.734, + "step": 816 + }, + { + "epoch": 1.2820085323395283, + "grad_norm": 0.665660129580248, + "learning_rate": 1.280179398082547e-05, + "loss": 0.7168, + "step": 817 + }, + { + "epoch": 1.2835776982297848, + "grad_norm": 0.6379562045996827, + "learning_rate": 1.2785514924048235e-05, + "loss": 0.7134, + "step": 818 + }, + { + "epoch": 1.2851468641200412, + "grad_norm": 0.7173502137871494, + "learning_rate": 1.2769227860557431e-05, + "loss": 0.7375, + "step": 819 + }, + { + "epoch": 1.2867160300102976, + "grad_norm": 0.6323317821606141, + "learning_rate": 1.2752932837168768e-05, + "loss": 0.7129, + "step": 820 + }, + { + "epoch": 1.2882851959005541, + "grad_norm": 0.7095835462650433, + "learning_rate": 1.2736629900720832e-05, + "loss": 0.7189, + "step": 821 + }, + { + "epoch": 1.2898543617908107, + "grad_norm": 0.7039545759984338, + "learning_rate": 1.2720319098074954e-05, + "loss": 0.7191, + "step": 822 + }, + { + "epoch": 1.291423527681067, + "grad_norm": 0.6414711038775592, + "learning_rate": 1.2704000476115079e-05, + "loss": 0.7093, + "step": 823 + }, + { + "epoch": 1.2929926935713234, + "grad_norm": 0.6892424705413851, + "learning_rate": 1.268767408174763e-05, + "loss": 0.7222, + "step": 824 + }, + { + "epoch": 1.29456185946158, + "grad_norm": 0.6872882040827433, + "learning_rate": 1.2671339961901366e-05, + "loss": 0.691, + "step": 825 + }, + { + "epoch": 1.2961310253518366, + "grad_norm": 0.6826371199489001, + "learning_rate": 1.265499816352725e-05, + "loss": 0.7234, + "step": 826 + }, + { + "epoch": 1.297700191242093, + "grad_norm": 0.7122200020281779, + "learning_rate": 1.2638648733598325e-05, + "loss": 0.7192, + "step": 827 + }, + { + "epoch": 1.2992693571323493, + "grad_norm": 0.6604076487985651, + "learning_rate": 1.2622291719109559e-05, + "loss": 0.699, + "step": 828 + }, + { + "epoch": 1.3008385230226058, + "grad_norm": 0.6211196438803553, + "learning_rate": 1.2605927167077736e-05, + "loss": 0.7118, + "step": 829 + }, + { + "epoch": 1.3024076889128622, + "grad_norm": 0.7220367233158411, + "learning_rate": 1.2589555124541293e-05, + "loss": 0.7249, + "step": 830 + }, + { + "epoch": 1.3039768548031188, + "grad_norm": 0.6593177938665435, + "learning_rate": 1.25731756385602e-05, + "loss": 0.7245, + "step": 831 + }, + { + "epoch": 1.305546020693375, + "grad_norm": 0.7087644841287654, + "learning_rate": 1.255678875621583e-05, + "loss": 0.7469, + "step": 832 + }, + { + "epoch": 1.3071151865836317, + "grad_norm": 0.6872448238166301, + "learning_rate": 1.2540394524610808e-05, + "loss": 0.7055, + "step": 833 + }, + { + "epoch": 1.308684352473888, + "grad_norm": 0.666042649831981, + "learning_rate": 1.252399299086889e-05, + "loss": 0.7154, + "step": 834 + }, + { + "epoch": 1.3102535183641446, + "grad_norm": 0.6208951368120518, + "learning_rate": 1.2507584202134812e-05, + "loss": 0.7144, + "step": 835 + }, + { + "epoch": 1.311822684254401, + "grad_norm": 0.6673651013952011, + "learning_rate": 1.2491168205574175e-05, + "loss": 0.7128, + "step": 836 + }, + { + "epoch": 1.3133918501446575, + "grad_norm": 0.6000189443577801, + "learning_rate": 1.2474745048373292e-05, + "loss": 0.729, + "step": 837 + }, + { + "epoch": 1.3149610160349139, + "grad_norm": 0.6417302271800848, + "learning_rate": 1.2458314777739056e-05, + "loss": 0.7267, + "step": 838 + }, + { + "epoch": 1.3165301819251705, + "grad_norm": 0.6337429718201932, + "learning_rate": 1.2441877440898817e-05, + "loss": 0.7128, + "step": 839 + }, + { + "epoch": 1.3180993478154268, + "grad_norm": 0.6170874332239124, + "learning_rate": 1.2425433085100224e-05, + "loss": 0.7122, + "step": 840 + }, + { + "epoch": 1.3196685137056834, + "grad_norm": 0.678129615260254, + "learning_rate": 1.2408981757611112e-05, + "loss": 0.705, + "step": 841 + }, + { + "epoch": 1.3212376795959397, + "grad_norm": 0.6109538192264312, + "learning_rate": 1.2392523505719349e-05, + "loss": 0.7287, + "step": 842 + }, + { + "epoch": 1.3228068454861963, + "grad_norm": 0.6361898884654272, + "learning_rate": 1.237605837673271e-05, + "loss": 0.726, + "step": 843 + }, + { + "epoch": 1.3243760113764527, + "grad_norm": 0.6321164785889781, + "learning_rate": 1.2359586417978733e-05, + "loss": 0.7106, + "step": 844 + }, + { + "epoch": 1.3259451772667092, + "grad_norm": 0.689710845047404, + "learning_rate": 1.2343107676804593e-05, + "loss": 0.7328, + "step": 845 + }, + { + "epoch": 1.3275143431569656, + "grad_norm": 0.6377904917047713, + "learning_rate": 1.2326622200576956e-05, + "loss": 0.7021, + "step": 846 + }, + { + "epoch": 1.3290835090472222, + "grad_norm": 0.6342268562642017, + "learning_rate": 1.2310130036681847e-05, + "loss": 0.7269, + "step": 847 + }, + { + "epoch": 1.3306526749374785, + "grad_norm": 0.7301799069542851, + "learning_rate": 1.2293631232524524e-05, + "loss": 0.7186, + "step": 848 + }, + { + "epoch": 1.332221840827735, + "grad_norm": 0.6924306019618529, + "learning_rate": 1.2277125835529318e-05, + "loss": 0.7238, + "step": 849 + }, + { + "epoch": 1.3337910067179914, + "grad_norm": 0.66191286060955, + "learning_rate": 1.2260613893139517e-05, + "loss": 0.7336, + "step": 850 + }, + { + "epoch": 1.3353601726082478, + "grad_norm": 0.6341200858429045, + "learning_rate": 1.2244095452817227e-05, + "loss": 0.7136, + "step": 851 + }, + { + "epoch": 1.3369293384985044, + "grad_norm": 0.6305949205529846, + "learning_rate": 1.2227570562043223e-05, + "loss": 0.6972, + "step": 852 + }, + { + "epoch": 1.338498504388761, + "grad_norm": 0.7402111928148778, + "learning_rate": 1.221103926831683e-05, + "loss": 0.7116, + "step": 853 + }, + { + "epoch": 1.3400676702790173, + "grad_norm": 0.6774097888733212, + "learning_rate": 1.219450161915577e-05, + "loss": 0.7155, + "step": 854 + }, + { + "epoch": 1.3416368361692736, + "grad_norm": 0.6928756650842154, + "learning_rate": 1.2177957662096038e-05, + "loss": 0.7438, + "step": 855 + }, + { + "epoch": 1.3432060020595302, + "grad_norm": 0.6333148904267516, + "learning_rate": 1.2161407444691761e-05, + "loss": 0.7259, + "step": 856 + }, + { + "epoch": 1.3447751679497868, + "grad_norm": 0.6716744132199812, + "learning_rate": 1.2144851014515055e-05, + "loss": 0.7165, + "step": 857 + }, + { + "epoch": 1.3463443338400432, + "grad_norm": 0.6584659508564903, + "learning_rate": 1.2128288419155903e-05, + "loss": 0.7201, + "step": 858 + }, + { + "epoch": 1.3479134997302995, + "grad_norm": 0.6367110648116499, + "learning_rate": 1.2111719706222e-05, + "loss": 0.7264, + "step": 859 + }, + { + "epoch": 1.349482665620556, + "grad_norm": 0.6911286087877214, + "learning_rate": 1.2095144923338633e-05, + "loss": 0.7066, + "step": 860 + }, + { + "epoch": 1.3510518315108127, + "grad_norm": 0.6641566696877007, + "learning_rate": 1.2078564118148531e-05, + "loss": 0.7082, + "step": 861 + }, + { + "epoch": 1.352620997401069, + "grad_norm": 0.6285900612911928, + "learning_rate": 1.2061977338311737e-05, + "loss": 0.7015, + "step": 862 + }, + { + "epoch": 1.3541901632913254, + "grad_norm": 0.6706389266328956, + "learning_rate": 1.2045384631505466e-05, + "loss": 0.701, + "step": 863 + }, + { + "epoch": 1.355759329181582, + "grad_norm": 0.716743179939992, + "learning_rate": 1.202878604542397e-05, + "loss": 0.7161, + "step": 864 + }, + { + "epoch": 1.3573284950718385, + "grad_norm": 0.7172535310656336, + "learning_rate": 1.20121816277784e-05, + "loss": 0.7423, + "step": 865 + }, + { + "epoch": 1.3588976609620949, + "grad_norm": 0.6552993900588525, + "learning_rate": 1.1995571426296671e-05, + "loss": 0.7231, + "step": 866 + }, + { + "epoch": 1.3604668268523512, + "grad_norm": 0.7122718419281147, + "learning_rate": 1.1978955488723323e-05, + "loss": 0.728, + "step": 867 + }, + { + "epoch": 1.3620359927426078, + "grad_norm": 0.7508958503348475, + "learning_rate": 1.1962333862819379e-05, + "loss": 0.7379, + "step": 868 + }, + { + "epoch": 1.3636051586328644, + "grad_norm": 0.692924199197633, + "learning_rate": 1.1945706596362216e-05, + "loss": 0.7197, + "step": 869 + }, + { + "epoch": 1.3651743245231207, + "grad_norm": 0.7066239667161673, + "learning_rate": 1.1929073737145432e-05, + "loss": 0.7069, + "step": 870 + }, + { + "epoch": 1.366743490413377, + "grad_norm": 0.6595984818284824, + "learning_rate": 1.1912435332978684e-05, + "loss": 0.7082, + "step": 871 + }, + { + "epoch": 1.3683126563036336, + "grad_norm": 0.6582476309008898, + "learning_rate": 1.1895791431687585e-05, + "loss": 0.7301, + "step": 872 + }, + { + "epoch": 1.36988182219389, + "grad_norm": 0.6255889268832004, + "learning_rate": 1.1879142081113535e-05, + "loss": 0.7078, + "step": 873 + }, + { + "epoch": 1.3714509880841466, + "grad_norm": 0.6091634211001478, + "learning_rate": 1.1862487329113606e-05, + "loss": 0.6962, + "step": 874 + }, + { + "epoch": 1.373020153974403, + "grad_norm": 0.6069056316047424, + "learning_rate": 1.1845827223560394e-05, + "loss": 0.719, + "step": 875 + }, + { + "epoch": 1.3745893198646595, + "grad_norm": 0.6581162509079973, + "learning_rate": 1.1829161812341883e-05, + "loss": 0.7136, + "step": 876 + }, + { + "epoch": 1.3761584857549158, + "grad_norm": 0.7146293984341919, + "learning_rate": 1.1812491143361305e-05, + "loss": 0.6956, + "step": 877 + }, + { + "epoch": 1.3777276516451724, + "grad_norm": 0.6398066925579683, + "learning_rate": 1.1795815264537008e-05, + "loss": 0.7096, + "step": 878 + }, + { + "epoch": 1.3792968175354288, + "grad_norm": 0.7040517341531731, + "learning_rate": 1.1779134223802315e-05, + "loss": 0.7224, + "step": 879 + }, + { + "epoch": 1.3808659834256853, + "grad_norm": 0.7262898787492248, + "learning_rate": 1.1762448069105387e-05, + "loss": 0.7184, + "step": 880 + }, + { + "epoch": 1.3824351493159417, + "grad_norm": 0.6169288405090357, + "learning_rate": 1.1745756848409083e-05, + "loss": 0.7163, + "step": 881 + }, + { + "epoch": 1.3840043152061983, + "grad_norm": 0.6489901700081867, + "learning_rate": 1.1729060609690824e-05, + "loss": 0.7356, + "step": 882 + }, + { + "epoch": 1.3855734810964546, + "grad_norm": 0.7332798261806479, + "learning_rate": 1.171235940094245e-05, + "loss": 0.7118, + "step": 883 + }, + { + "epoch": 1.3871426469867112, + "grad_norm": 0.7068124427937897, + "learning_rate": 1.1695653270170102e-05, + "loss": 0.7357, + "step": 884 + }, + { + "epoch": 1.3887118128769675, + "grad_norm": 0.6551653615753867, + "learning_rate": 1.1678942265394055e-05, + "loss": 0.7343, + "step": 885 + }, + { + "epoch": 1.3902809787672241, + "grad_norm": 0.6492077536437721, + "learning_rate": 1.1662226434648595e-05, + "loss": 0.7163, + "step": 886 + }, + { + "epoch": 1.3918501446574805, + "grad_norm": 0.6076820885521024, + "learning_rate": 1.1645505825981884e-05, + "loss": 0.7355, + "step": 887 + }, + { + "epoch": 1.393419310547737, + "grad_norm": 0.6353027453712743, + "learning_rate": 1.162878048745582e-05, + "loss": 0.6992, + "step": 888 + }, + { + "epoch": 1.3949884764379934, + "grad_norm": 0.6379801521717718, + "learning_rate": 1.161205046714589e-05, + "loss": 0.719, + "step": 889 + }, + { + "epoch": 1.39655764232825, + "grad_norm": 0.655493219820094, + "learning_rate": 1.1595315813141041e-05, + "loss": 0.7052, + "step": 890 + }, + { + "epoch": 1.3981268082185063, + "grad_norm": 0.6490874447096325, + "learning_rate": 1.1578576573543541e-05, + "loss": 0.7244, + "step": 891 + }, + { + "epoch": 1.399695974108763, + "grad_norm": 0.6070219004139445, + "learning_rate": 1.1561832796468837e-05, + "loss": 0.7064, + "step": 892 + }, + { + "epoch": 1.4012651399990192, + "grad_norm": 0.5971904718538777, + "learning_rate": 1.1545084530045419e-05, + "loss": 0.7143, + "step": 893 + }, + { + "epoch": 1.4028343058892756, + "grad_norm": 0.661237907441588, + "learning_rate": 1.1528331822414681e-05, + "loss": 0.738, + "step": 894 + }, + { + "epoch": 1.4044034717795322, + "grad_norm": 0.7048163716097692, + "learning_rate": 1.1511574721730781e-05, + "loss": 0.727, + "step": 895 + }, + { + "epoch": 1.4059726376697887, + "grad_norm": 0.6543903582649592, + "learning_rate": 1.1494813276160511e-05, + "loss": 0.7091, + "step": 896 + }, + { + "epoch": 1.407541803560045, + "grad_norm": 0.6464902292006662, + "learning_rate": 1.1478047533883143e-05, + "loss": 0.7264, + "step": 897 + }, + { + "epoch": 1.4091109694503015, + "grad_norm": 0.6354389748862034, + "learning_rate": 1.1461277543090308e-05, + "loss": 0.7208, + "step": 898 + }, + { + "epoch": 1.410680135340558, + "grad_norm": 0.6426275815483544, + "learning_rate": 1.144450335198584e-05, + "loss": 0.7328, + "step": 899 + }, + { + "epoch": 1.4122493012308146, + "grad_norm": 0.7113472619113095, + "learning_rate": 1.1427725008785655e-05, + "loss": 0.7173, + "step": 900 + }, + { + "epoch": 1.413818467121071, + "grad_norm": 0.6492531266677515, + "learning_rate": 1.1410942561717601e-05, + "loss": 0.708, + "step": 901 + }, + { + "epoch": 1.4153876330113273, + "grad_norm": 0.6004987321507724, + "learning_rate": 1.139415605902132e-05, + "loss": 0.6925, + "step": 902 + }, + { + "epoch": 1.4169567989015839, + "grad_norm": 0.6544327255517137, + "learning_rate": 1.1377365548948114e-05, + "loss": 0.725, + "step": 903 + }, + { + "epoch": 1.4185259647918405, + "grad_norm": 0.6706443927063417, + "learning_rate": 1.1360571079760798e-05, + "loss": 0.714, + "step": 904 + }, + { + "epoch": 1.4200951306820968, + "grad_norm": 0.6554918234186878, + "learning_rate": 1.1343772699733579e-05, + "loss": 0.747, + "step": 905 + }, + { + "epoch": 1.4216642965723532, + "grad_norm": 0.667318349315597, + "learning_rate": 1.132697045715189e-05, + "loss": 0.7337, + "step": 906 + }, + { + "epoch": 1.4232334624626097, + "grad_norm": 0.6498718980360371, + "learning_rate": 1.1310164400312284e-05, + "loss": 0.7227, + "step": 907 + }, + { + "epoch": 1.4248026283528663, + "grad_norm": 0.6638037233928351, + "learning_rate": 1.1293354577522264e-05, + "loss": 0.7194, + "step": 908 + }, + { + "epoch": 1.4263717942431227, + "grad_norm": 0.6009365998164207, + "learning_rate": 1.127654103710016e-05, + "loss": 0.6977, + "step": 909 + }, + { + "epoch": 1.427940960133379, + "grad_norm": 0.6693527197521654, + "learning_rate": 1.1259723827374996e-05, + "loss": 0.7079, + "step": 910 + }, + { + "epoch": 1.4295101260236356, + "grad_norm": 0.6414718328304878, + "learning_rate": 1.1242902996686333e-05, + "loss": 0.7193, + "step": 911 + }, + { + "epoch": 1.4310792919138922, + "grad_norm": 0.6675790358892798, + "learning_rate": 1.122607859338415e-05, + "loss": 0.6981, + "step": 912 + }, + { + "epoch": 1.4326484578041485, + "grad_norm": 0.6441348355283296, + "learning_rate": 1.1209250665828684e-05, + "loss": 0.7118, + "step": 913 + }, + { + "epoch": 1.4342176236944049, + "grad_norm": 0.6164443619823742, + "learning_rate": 1.119241926239031e-05, + "loss": 0.6896, + "step": 914 + }, + { + "epoch": 1.4357867895846614, + "grad_norm": 0.6471133591799608, + "learning_rate": 1.1175584431449393e-05, + "loss": 0.7232, + "step": 915 + }, + { + "epoch": 1.4373559554749178, + "grad_norm": 0.6037249696523037, + "learning_rate": 1.1158746221396148e-05, + "loss": 0.7037, + "step": 916 + }, + { + "epoch": 1.4389251213651744, + "grad_norm": 0.609308940441626, + "learning_rate": 1.1141904680630504e-05, + "loss": 0.704, + "step": 917 + }, + { + "epoch": 1.4404942872554307, + "grad_norm": 0.6461029103749456, + "learning_rate": 1.1125059857561966e-05, + "loss": 0.7224, + "step": 918 + }, + { + "epoch": 1.4420634531456873, + "grad_norm": 0.7260077174455071, + "learning_rate": 1.110821180060947e-05, + "loss": 0.7468, + "step": 919 + }, + { + "epoch": 1.4436326190359436, + "grad_norm": 0.6927068323498747, + "learning_rate": 1.1091360558201249e-05, + "loss": 0.7221, + "step": 920 + }, + { + "epoch": 1.4452017849262002, + "grad_norm": 0.66661507681019, + "learning_rate": 1.1074506178774696e-05, + "loss": 0.7149, + "step": 921 + }, + { + "epoch": 1.4467709508164566, + "grad_norm": 0.6620128299023971, + "learning_rate": 1.1057648710776212e-05, + "loss": 0.6944, + "step": 922 + }, + { + "epoch": 1.4483401167067131, + "grad_norm": 0.6804221522462558, + "learning_rate": 1.1040788202661084e-05, + "loss": 0.7282, + "step": 923 + }, + { + "epoch": 1.4499092825969695, + "grad_norm": 0.6320356229533106, + "learning_rate": 1.1023924702893334e-05, + "loss": 0.7202, + "step": 924 + }, + { + "epoch": 1.451478448487226, + "grad_norm": 0.6686623512159883, + "learning_rate": 1.1007058259945584e-05, + "loss": 0.7094, + "step": 925 + }, + { + "epoch": 1.4530476143774824, + "grad_norm": 0.6887700510314242, + "learning_rate": 1.0990188922298918e-05, + "loss": 0.7413, + "step": 926 + }, + { + "epoch": 1.454616780267739, + "grad_norm": 0.6231211563761995, + "learning_rate": 1.0973316738442738e-05, + "loss": 0.7225, + "step": 927 + }, + { + "epoch": 1.4561859461579953, + "grad_norm": 0.6751436015523725, + "learning_rate": 1.0956441756874628e-05, + "loss": 0.6898, + "step": 928 + }, + { + "epoch": 1.457755112048252, + "grad_norm": 0.6625187200945359, + "learning_rate": 1.0939564026100213e-05, + "loss": 0.7264, + "step": 929 + }, + { + "epoch": 1.4593242779385083, + "grad_norm": 0.6482001119532237, + "learning_rate": 1.092268359463302e-05, + "loss": 0.7112, + "step": 930 + }, + { + "epoch": 1.4608934438287648, + "grad_norm": 0.6301893529545485, + "learning_rate": 1.0905800510994341e-05, + "loss": 0.686, + "step": 931 + }, + { + "epoch": 1.4624626097190212, + "grad_norm": 0.6796906393477904, + "learning_rate": 1.0888914823713092e-05, + "loss": 0.698, + "step": 932 + }, + { + "epoch": 1.4640317756092778, + "grad_norm": 0.670826610392774, + "learning_rate": 1.0872026581325667e-05, + "loss": 0.7136, + "step": 933 + }, + { + "epoch": 1.4656009414995341, + "grad_norm": 0.6748241181522556, + "learning_rate": 1.0855135832375809e-05, + "loss": 0.7312, + "step": 934 + }, + { + "epoch": 1.4671701073897907, + "grad_norm": 0.6810985311683945, + "learning_rate": 1.083824262541447e-05, + "loss": 0.7226, + "step": 935 + }, + { + "epoch": 1.468739273280047, + "grad_norm": 0.6504131617101103, + "learning_rate": 1.0821347008999658e-05, + "loss": 0.7232, + "step": 936 + }, + { + "epoch": 1.4703084391703034, + "grad_norm": 0.6876471796689092, + "learning_rate": 1.0804449031696315e-05, + "loss": 0.7214, + "step": 937 + }, + { + "epoch": 1.47187760506056, + "grad_norm": 0.6586583558429676, + "learning_rate": 1.0787548742076164e-05, + "loss": 0.7194, + "step": 938 + }, + { + "epoch": 1.4734467709508166, + "grad_norm": 0.6545289283894062, + "learning_rate": 1.0770646188717578e-05, + "loss": 0.731, + "step": 939 + }, + { + "epoch": 1.475015936841073, + "grad_norm": 0.605386804813954, + "learning_rate": 1.0753741420205431e-05, + "loss": 0.7006, + "step": 940 + }, + { + "epoch": 1.4765851027313293, + "grad_norm": 0.6464394500621592, + "learning_rate": 1.0736834485130972e-05, + "loss": 0.718, + "step": 941 + }, + { + "epoch": 1.4781542686215858, + "grad_norm": 0.7027032163748959, + "learning_rate": 1.0719925432091671e-05, + "loss": 0.7013, + "step": 942 + }, + { + "epoch": 1.4797234345118424, + "grad_norm": 0.6779436071932261, + "learning_rate": 1.0703014309691096e-05, + "loss": 0.7037, + "step": 943 + }, + { + "epoch": 1.4812926004020988, + "grad_norm": 0.6230572746544857, + "learning_rate": 1.068610116653875e-05, + "loss": 0.6978, + "step": 944 + }, + { + "epoch": 1.482861766292355, + "grad_norm": 0.7217539540895462, + "learning_rate": 1.0669186051249948e-05, + "loss": 0.7134, + "step": 945 + }, + { + "epoch": 1.4844309321826117, + "grad_norm": 0.7009593547944113, + "learning_rate": 1.0652269012445684e-05, + "loss": 0.7151, + "step": 946 + }, + { + "epoch": 1.4860000980728683, + "grad_norm": 0.6544138110624551, + "learning_rate": 1.0635350098752468e-05, + "loss": 0.7244, + "step": 947 + }, + { + "epoch": 1.4875692639631246, + "grad_norm": 0.652779647397337, + "learning_rate": 1.0618429358802209e-05, + "loss": 0.715, + "step": 948 + }, + { + "epoch": 1.489138429853381, + "grad_norm": 0.7527013775930431, + "learning_rate": 1.0601506841232057e-05, + "loss": 0.6921, + "step": 949 + }, + { + "epoch": 1.4907075957436375, + "grad_norm": 0.6203219744767766, + "learning_rate": 1.0584582594684274e-05, + "loss": 0.7031, + "step": 950 + }, + { + "epoch": 1.492276761633894, + "grad_norm": 0.6564685383938513, + "learning_rate": 1.0567656667806097e-05, + "loss": 0.71, + "step": 951 + }, + { + "epoch": 1.4938459275241505, + "grad_norm": 0.7000099478905847, + "learning_rate": 1.055072910924959e-05, + "loss": 0.7124, + "step": 952 + }, + { + "epoch": 1.4954150934144068, + "grad_norm": 0.7004083911366619, + "learning_rate": 1.0533799967671503e-05, + "loss": 0.7151, + "step": 953 + }, + { + "epoch": 1.4969842593046634, + "grad_norm": 0.5966368787953654, + "learning_rate": 1.0516869291733142e-05, + "loss": 0.7132, + "step": 954 + }, + { + "epoch": 1.49855342519492, + "grad_norm": 0.6635042394956364, + "learning_rate": 1.0499937130100222e-05, + "loss": 0.7156, + "step": 955 + }, + { + "epoch": 1.5001225910851763, + "grad_norm": 0.6403983044201088, + "learning_rate": 1.0483003531442726e-05, + "loss": 0.711, + "step": 956 + }, + { + "epoch": 1.5016917569754327, + "grad_norm": 0.6205113619290785, + "learning_rate": 1.0466068544434766e-05, + "loss": 0.6914, + "step": 957 + }, + { + "epoch": 1.5032609228656892, + "grad_norm": 0.6144033172763296, + "learning_rate": 1.0449132217754455e-05, + "loss": 0.7161, + "step": 958 + }, + { + "epoch": 1.5048300887559458, + "grad_norm": 0.6503831884098968, + "learning_rate": 1.043219460008374e-05, + "loss": 0.7077, + "step": 959 + }, + { + "epoch": 1.5063992546462022, + "grad_norm": 0.6559066820649389, + "learning_rate": 1.0415255740108299e-05, + "loss": 0.7126, + "step": 960 + }, + { + "epoch": 1.5079684205364585, + "grad_norm": 0.6669233492788981, + "learning_rate": 1.0398315686517362e-05, + "loss": 0.7314, + "step": 961 + }, + { + "epoch": 1.509537586426715, + "grad_norm": 0.6699956584009586, + "learning_rate": 1.0381374488003603e-05, + "loss": 0.7058, + "step": 962 + }, + { + "epoch": 1.5111067523169717, + "grad_norm": 0.6297987639550877, + "learning_rate": 1.036443219326298e-05, + "loss": 0.7384, + "step": 963 + }, + { + "epoch": 1.512675918207228, + "grad_norm": 0.6489531235629726, + "learning_rate": 1.0347488850994608e-05, + "loss": 0.6993, + "step": 964 + }, + { + "epoch": 1.5142450840974844, + "grad_norm": 0.6696723773300036, + "learning_rate": 1.0330544509900603e-05, + "loss": 0.694, + "step": 965 + }, + { + "epoch": 1.515814249987741, + "grad_norm": 0.6365754829771774, + "learning_rate": 1.0313599218685961e-05, + "loss": 0.7094, + "step": 966 + }, + { + "epoch": 1.5173834158779973, + "grad_norm": 0.6328993746213125, + "learning_rate": 1.029665302605841e-05, + "loss": 0.6914, + "step": 967 + }, + { + "epoch": 1.5189525817682537, + "grad_norm": 0.6139947594794258, + "learning_rate": 1.0279705980728258e-05, + "loss": 0.7228, + "step": 968 + }, + { + "epoch": 1.5205217476585102, + "grad_norm": 0.6390231354865114, + "learning_rate": 1.026275813140828e-05, + "loss": 0.7143, + "step": 969 + }, + { + "epoch": 1.5220909135487668, + "grad_norm": 0.627828876181501, + "learning_rate": 1.0245809526813547e-05, + "loss": 0.709, + "step": 970 + }, + { + "epoch": 1.5236600794390232, + "grad_norm": 0.6732805664396306, + "learning_rate": 1.0228860215661309e-05, + "loss": 0.7157, + "step": 971 + }, + { + "epoch": 1.5252292453292795, + "grad_norm": 0.6259352912612589, + "learning_rate": 1.0211910246670848e-05, + "loss": 0.7146, + "step": 972 + }, + { + "epoch": 1.526798411219536, + "grad_norm": 0.6191689066059438, + "learning_rate": 1.0194959668563332e-05, + "loss": 0.7007, + "step": 973 + }, + { + "epoch": 1.5283675771097927, + "grad_norm": 0.6275859426803602, + "learning_rate": 1.017800853006168e-05, + "loss": 0.734, + "step": 974 + }, + { + "epoch": 1.529936743000049, + "grad_norm": 0.6701857975513259, + "learning_rate": 1.0161056879890427e-05, + "loss": 0.7195, + "step": 975 + }, + { + "epoch": 1.5315059088903054, + "grad_norm": 0.6377874209019501, + "learning_rate": 1.0144104766775574e-05, + "loss": 0.7168, + "step": 976 + }, + { + "epoch": 1.533075074780562, + "grad_norm": 0.6397745601573495, + "learning_rate": 1.0127152239444453e-05, + "loss": 0.7086, + "step": 977 + }, + { + "epoch": 1.5346442406708185, + "grad_norm": 0.6255335784383, + "learning_rate": 1.0110199346625593e-05, + "loss": 0.6759, + "step": 978 + }, + { + "epoch": 1.5362134065610749, + "grad_norm": 0.635433391648022, + "learning_rate": 1.0093246137048563e-05, + "loss": 0.7035, + "step": 979 + }, + { + "epoch": 1.5377825724513312, + "grad_norm": 0.6904416974712441, + "learning_rate": 1.0076292659443852e-05, + "loss": 0.7104, + "step": 980 + }, + { + "epoch": 1.5393517383415878, + "grad_norm": 0.6837712528244906, + "learning_rate": 1.0059338962542713e-05, + "loss": 0.6925, + "step": 981 + }, + { + "epoch": 1.5409209042318444, + "grad_norm": 0.6494950457449515, + "learning_rate": 1.0042385095077032e-05, + "loss": 0.7164, + "step": 982 + }, + { + "epoch": 1.5424900701221007, + "grad_norm": 0.757896168999957, + "learning_rate": 1.0025431105779184e-05, + "loss": 0.7279, + "step": 983 + }, + { + "epoch": 1.544059236012357, + "grad_norm": 0.7448199748521469, + "learning_rate": 1.0008477043381896e-05, + "loss": 0.7191, + "step": 984 + }, + { + "epoch": 1.5456284019026136, + "grad_norm": 0.6136418718230442, + "learning_rate": 9.991522956618107e-06, + "loss": 0.7051, + "step": 985 + }, + { + "epoch": 1.5471975677928702, + "grad_norm": 0.6288927505949025, + "learning_rate": 9.974568894220821e-06, + "loss": 0.7127, + "step": 986 + }, + { + "epoch": 1.5487667336831266, + "grad_norm": 0.6824877652531189, + "learning_rate": 9.957614904922971e-06, + "loss": 0.7273, + "step": 987 + }, + { + "epoch": 1.550335899573383, + "grad_norm": 0.7006077310202782, + "learning_rate": 9.940661037457294e-06, + "loss": 0.7122, + "step": 988 + }, + { + "epoch": 1.5519050654636395, + "grad_norm": 0.6708701065789046, + "learning_rate": 9.923707340556151e-06, + "loss": 0.7177, + "step": 989 + }, + { + "epoch": 1.553474231353896, + "grad_norm": 0.6582307582516453, + "learning_rate": 9.906753862951437e-06, + "loss": 0.7063, + "step": 990 + }, + { + "epoch": 1.5550433972441524, + "grad_norm": 0.6347410586607902, + "learning_rate": 9.88980065337441e-06, + "loss": 0.7294, + "step": 991 + }, + { + "epoch": 1.5566125631344088, + "grad_norm": 0.6348844146933083, + "learning_rate": 9.872847760555547e-06, + "loss": 0.7165, + "step": 992 + }, + { + "epoch": 1.5581817290246653, + "grad_norm": 0.6760485941537946, + "learning_rate": 9.855895233224431e-06, + "loss": 0.7032, + "step": 993 + }, + { + "epoch": 1.559750894914922, + "grad_norm": 0.6775588684652758, + "learning_rate": 9.838943120109576e-06, + "loss": 0.7317, + "step": 994 + }, + { + "epoch": 1.5613200608051783, + "grad_norm": 0.6336931532586304, + "learning_rate": 9.821991469938325e-06, + "loss": 0.7073, + "step": 995 + }, + { + "epoch": 1.5628892266954346, + "grad_norm": 0.6405181006341011, + "learning_rate": 9.805040331436672e-06, + "loss": 0.7149, + "step": 996 + }, + { + "epoch": 1.5644583925856912, + "grad_norm": 0.651328071023763, + "learning_rate": 9.788089753329157e-06, + "loss": 0.7031, + "step": 997 + }, + { + "epoch": 1.5660275584759478, + "grad_norm": 0.6580422372108625, + "learning_rate": 9.771139784338693e-06, + "loss": 0.7031, + "step": 998 + }, + { + "epoch": 1.5675967243662041, + "grad_norm": 0.6747374973150568, + "learning_rate": 9.754190473186455e-06, + "loss": 0.7052, + "step": 999 + }, + { + "epoch": 1.5691658902564605, + "grad_norm": 0.6788063663213355, + "learning_rate": 9.737241868591724e-06, + "loss": 0.6949, + "step": 1000 + }, + { + "epoch": 1.570735056146717, + "grad_norm": 0.6514039944228376, + "learning_rate": 9.720294019271744e-06, + "loss": 0.7176, + "step": 1001 + }, + { + "epoch": 1.5723042220369736, + "grad_norm": 0.6408944598434222, + "learning_rate": 9.703346973941595e-06, + "loss": 0.6805, + "step": 1002 + }, + { + "epoch": 1.57387338792723, + "grad_norm": 0.6423383519755441, + "learning_rate": 9.686400781314042e-06, + "loss": 0.7159, + "step": 1003 + }, + { + "epoch": 1.5754425538174863, + "grad_norm": 0.6986579452497751, + "learning_rate": 9.669455490099402e-06, + "loss": 0.7017, + "step": 1004 + }, + { + "epoch": 1.577011719707743, + "grad_norm": 0.6869231881799038, + "learning_rate": 9.652511149005396e-06, + "loss": 0.7135, + "step": 1005 + }, + { + "epoch": 1.5785808855979995, + "grad_norm": 0.6365031741288624, + "learning_rate": 9.635567806737021e-06, + "loss": 0.7096, + "step": 1006 + }, + { + "epoch": 1.5801500514882558, + "grad_norm": 0.6917464393492744, + "learning_rate": 9.618625511996398e-06, + "loss": 0.7066, + "step": 1007 + }, + { + "epoch": 1.5817192173785122, + "grad_norm": 0.640456584705113, + "learning_rate": 9.601684313482638e-06, + "loss": 0.6949, + "step": 1008 + }, + { + "epoch": 1.5832883832687688, + "grad_norm": 0.6226025973147625, + "learning_rate": 9.584744259891706e-06, + "loss": 0.7048, + "step": 1009 + }, + { + "epoch": 1.584857549159025, + "grad_norm": 0.6239819004200348, + "learning_rate": 9.56780539991626e-06, + "loss": 0.7051, + "step": 1010 + }, + { + "epoch": 1.5864267150492815, + "grad_norm": 0.6370590711664889, + "learning_rate": 9.55086778224555e-06, + "loss": 0.7057, + "step": 1011 + }, + { + "epoch": 1.587995880939538, + "grad_norm": 0.6742768140779845, + "learning_rate": 9.533931455565236e-06, + "loss": 0.6935, + "step": 1012 + }, + { + "epoch": 1.5895650468297946, + "grad_norm": 0.6928710897901328, + "learning_rate": 9.51699646855728e-06, + "loss": 0.702, + "step": 1013 + }, + { + "epoch": 1.591134212720051, + "grad_norm": 0.66231702914188, + "learning_rate": 9.50006286989978e-06, + "loss": 0.7122, + "step": 1014 + }, + { + "epoch": 1.5927033786103073, + "grad_norm": 0.6895821314961985, + "learning_rate": 9.483130708266856e-06, + "loss": 0.6984, + "step": 1015 + }, + { + "epoch": 1.5942725445005639, + "grad_norm": 0.6340169173777641, + "learning_rate": 9.466200032328499e-06, + "loss": 0.704, + "step": 1016 + }, + { + "epoch": 1.5958417103908205, + "grad_norm": 0.6652887889787393, + "learning_rate": 9.44927089075041e-06, + "loss": 0.7142, + "step": 1017 + }, + { + "epoch": 1.5974108762810768, + "grad_norm": 0.6436118759130055, + "learning_rate": 9.432343332193907e-06, + "loss": 0.7178, + "step": 1018 + }, + { + "epoch": 1.5989800421713332, + "grad_norm": 0.6175284973383992, + "learning_rate": 9.415417405315727e-06, + "loss": 0.7241, + "step": 1019 + }, + { + "epoch": 1.6005492080615897, + "grad_norm": 0.6883805518240275, + "learning_rate": 9.39849315876795e-06, + "loss": 0.7085, + "step": 1020 + }, + { + "epoch": 1.6021183739518463, + "grad_norm": 0.6510785737423868, + "learning_rate": 9.381570641197795e-06, + "loss": 0.703, + "step": 1021 + }, + { + "epoch": 1.6036875398421027, + "grad_norm": 0.6316146644684786, + "learning_rate": 9.364649901247534e-06, + "loss": 0.6784, + "step": 1022 + }, + { + "epoch": 1.605256705732359, + "grad_norm": 0.631761598142362, + "learning_rate": 9.34773098755432e-06, + "loss": 0.7171, + "step": 1023 + }, + { + "epoch": 1.6068258716226156, + "grad_norm": 0.6243893090534003, + "learning_rate": 9.330813948750053e-06, + "loss": 0.7045, + "step": 1024 + }, + { + "epoch": 1.6083950375128722, + "grad_norm": 0.6762987341217479, + "learning_rate": 9.313898833461255e-06, + "loss": 0.7161, + "step": 1025 + }, + { + "epoch": 1.6099642034031285, + "grad_norm": 0.6961664714220779, + "learning_rate": 9.29698569030891e-06, + "loss": 0.6936, + "step": 1026 + }, + { + "epoch": 1.6115333692933849, + "grad_norm": 0.6543853600703728, + "learning_rate": 9.28007456790833e-06, + "loss": 0.7066, + "step": 1027 + }, + { + "epoch": 1.6131025351836414, + "grad_norm": 0.6577394657678143, + "learning_rate": 9.26316551486903e-06, + "loss": 0.7042, + "step": 1028 + }, + { + "epoch": 1.614671701073898, + "grad_norm": 0.6213845720425254, + "learning_rate": 9.246258579794574e-06, + "loss": 0.706, + "step": 1029 + }, + { + "epoch": 1.6162408669641544, + "grad_norm": 0.646385894153232, + "learning_rate": 9.229353811282427e-06, + "loss": 0.6994, + "step": 1030 + }, + { + "epoch": 1.6178100328544107, + "grad_norm": 0.6002939184814735, + "learning_rate": 9.212451257923841e-06, + "loss": 0.7147, + "step": 1031 + }, + { + "epoch": 1.6193791987446673, + "grad_norm": 0.6177556132508117, + "learning_rate": 9.195550968303688e-06, + "loss": 0.7206, + "step": 1032 + }, + { + "epoch": 1.6209483646349239, + "grad_norm": 0.6676433083358203, + "learning_rate": 9.178652991000342e-06, + "loss": 0.7135, + "step": 1033 + }, + { + "epoch": 1.6225175305251802, + "grad_norm": 0.6447717531362551, + "learning_rate": 9.161757374585533e-06, + "loss": 0.6947, + "step": 1034 + }, + { + "epoch": 1.6240866964154366, + "grad_norm": 0.6496436648371882, + "learning_rate": 9.144864167624191e-06, + "loss": 0.7062, + "step": 1035 + }, + { + "epoch": 1.6256558623056931, + "grad_norm": 0.6282422668589572, + "learning_rate": 9.127973418674338e-06, + "loss": 0.7131, + "step": 1036 + }, + { + "epoch": 1.6272250281959497, + "grad_norm": 0.6412536147560591, + "learning_rate": 9.111085176286912e-06, + "loss": 0.705, + "step": 1037 + }, + { + "epoch": 1.628794194086206, + "grad_norm": 0.6398745555621472, + "learning_rate": 9.094199489005664e-06, + "loss": 0.7072, + "step": 1038 + }, + { + "epoch": 1.6303633599764624, + "grad_norm": 0.6630610452324819, + "learning_rate": 9.07731640536698e-06, + "loss": 0.7169, + "step": 1039 + }, + { + "epoch": 1.631932525866719, + "grad_norm": 0.6095763545126665, + "learning_rate": 9.06043597389979e-06, + "loss": 0.7042, + "step": 1040 + }, + { + "epoch": 1.6335016917569756, + "grad_norm": 0.6281401607345313, + "learning_rate": 9.043558243125374e-06, + "loss": 0.7202, + "step": 1041 + }, + { + "epoch": 1.635070857647232, + "grad_norm": 0.6491471947760574, + "learning_rate": 9.026683261557263e-06, + "loss": 0.7088, + "step": 1042 + }, + { + "epoch": 1.6366400235374883, + "grad_norm": 0.6245528400850705, + "learning_rate": 9.009811077701083e-06, + "loss": 0.6997, + "step": 1043 + }, + { + "epoch": 1.6382091894277448, + "grad_norm": 0.6014793709833866, + "learning_rate": 8.992941740054418e-06, + "loss": 0.6864, + "step": 1044 + }, + { + "epoch": 1.6397783553180014, + "grad_norm": 0.6712013468046127, + "learning_rate": 8.97607529710667e-06, + "loss": 0.7091, + "step": 1045 + }, + { + "epoch": 1.6413475212082578, + "grad_norm": 0.6456142832514454, + "learning_rate": 8.959211797338919e-06, + "loss": 0.7274, + "step": 1046 + }, + { + "epoch": 1.6429166870985141, + "grad_norm": 0.631039106626239, + "learning_rate": 8.942351289223795e-06, + "loss": 0.696, + "step": 1047 + }, + { + "epoch": 1.6444858529887707, + "grad_norm": 0.6452024951206032, + "learning_rate": 8.925493821225309e-06, + "loss": 0.7155, + "step": 1048 + }, + { + "epoch": 1.6460550188790273, + "grad_norm": 0.6925349978803207, + "learning_rate": 8.908639441798751e-06, + "loss": 0.7118, + "step": 1049 + }, + { + "epoch": 1.6476241847692836, + "grad_norm": 0.623460794807272, + "learning_rate": 8.891788199390533e-06, + "loss": 0.7196, + "step": 1050 + }, + { + "epoch": 1.64919335065954, + "grad_norm": 0.6139370875582836, + "learning_rate": 8.874940142438036e-06, + "loss": 0.7025, + "step": 1051 + }, + { + "epoch": 1.6507625165497966, + "grad_norm": 0.6621554794128032, + "learning_rate": 8.858095319369499e-06, + "loss": 0.7, + "step": 1052 + }, + { + "epoch": 1.652331682440053, + "grad_norm": 0.6638135232309305, + "learning_rate": 8.841253778603855e-06, + "loss": 0.7089, + "step": 1053 + }, + { + "epoch": 1.6539008483303093, + "grad_norm": 0.6247517907078712, + "learning_rate": 8.824415568550612e-06, + "loss": 0.7008, + "step": 1054 + }, + { + "epoch": 1.6554700142205658, + "grad_norm": 0.6244272954448689, + "learning_rate": 8.807580737609693e-06, + "loss": 0.6954, + "step": 1055 + }, + { + "epoch": 1.6570391801108224, + "grad_norm": 0.5945918864496853, + "learning_rate": 8.790749334171323e-06, + "loss": 0.7039, + "step": 1056 + }, + { + "epoch": 1.6586083460010788, + "grad_norm": 0.6509265609516273, + "learning_rate": 8.773921406615854e-06, + "loss": 0.6901, + "step": 1057 + }, + { + "epoch": 1.6601775118913351, + "grad_norm": 0.6405197143222408, + "learning_rate": 8.757097003313665e-06, + "loss": 0.7107, + "step": 1058 + }, + { + "epoch": 1.6617466777815917, + "grad_norm": 0.6280967002098, + "learning_rate": 8.740276172625007e-06, + "loss": 0.6948, + "step": 1059 + }, + { + "epoch": 1.6633158436718483, + "grad_norm": 0.6928514339663628, + "learning_rate": 8.72345896289984e-06, + "loss": 0.6884, + "step": 1060 + }, + { + "epoch": 1.6648850095621046, + "grad_norm": 0.6558722594715815, + "learning_rate": 8.706645422477739e-06, + "loss": 0.6991, + "step": 1061 + }, + { + "epoch": 1.666454175452361, + "grad_norm": 0.6324092178787085, + "learning_rate": 8.689835599687717e-06, + "loss": 0.7082, + "step": 1062 + }, + { + "epoch": 1.6680233413426175, + "grad_norm": 0.5916052072948866, + "learning_rate": 8.67302954284811e-06, + "loss": 0.7047, + "step": 1063 + }, + { + "epoch": 1.6695925072328741, + "grad_norm": 0.6207266100408737, + "learning_rate": 8.656227300266425e-06, + "loss": 0.6962, + "step": 1064 + }, + { + "epoch": 1.6711616731231305, + "grad_norm": 0.6353384778587967, + "learning_rate": 8.639428920239205e-06, + "loss": 0.7207, + "step": 1065 + }, + { + "epoch": 1.6727308390133868, + "grad_norm": 0.5980011237721573, + "learning_rate": 8.62263445105189e-06, + "loss": 0.6928, + "step": 1066 + }, + { + "epoch": 1.6743000049036434, + "grad_norm": 0.6019753532644648, + "learning_rate": 8.60584394097868e-06, + "loss": 0.7066, + "step": 1067 + }, + { + "epoch": 1.6758691707939, + "grad_norm": 0.6245204809660225, + "learning_rate": 8.5890574382824e-06, + "loss": 0.7018, + "step": 1068 + }, + { + "epoch": 1.6774383366841563, + "grad_norm": 0.6188899619713829, + "learning_rate": 8.572274991214345e-06, + "loss": 0.7271, + "step": 1069 + }, + { + "epoch": 1.6790075025744127, + "grad_norm": 0.6620429411198595, + "learning_rate": 8.555496648014163e-06, + "loss": 0.691, + "step": 1070 + }, + { + "epoch": 1.6805766684646692, + "grad_norm": 0.6145848182046878, + "learning_rate": 8.538722456909694e-06, + "loss": 0.7108, + "step": 1071 + }, + { + "epoch": 1.6821458343549258, + "grad_norm": 0.6745297311424414, + "learning_rate": 8.521952466116862e-06, + "loss": 0.7336, + "step": 1072 + }, + { + "epoch": 1.6837150002451822, + "grad_norm": 0.6322868925886423, + "learning_rate": 8.505186723839492e-06, + "loss": 0.7365, + "step": 1073 + }, + { + "epoch": 1.6852841661354385, + "grad_norm": 0.6175557879197305, + "learning_rate": 8.488425278269224e-06, + "loss": 0.6984, + "step": 1074 + }, + { + "epoch": 1.686853332025695, + "grad_norm": 0.6568470238648557, + "learning_rate": 8.471668177585324e-06, + "loss": 0.7123, + "step": 1075 + }, + { + "epoch": 1.6884224979159517, + "grad_norm": 0.6592345405941343, + "learning_rate": 8.454915469954583e-06, + "loss": 0.704, + "step": 1076 + }, + { + "epoch": 1.689991663806208, + "grad_norm": 0.6791387183045869, + "learning_rate": 8.438167203531166e-06, + "loss": 0.6947, + "step": 1077 + }, + { + "epoch": 1.6915608296964644, + "grad_norm": 0.6171406367367374, + "learning_rate": 8.42142342645646e-06, + "loss": 0.7178, + "step": 1078 + }, + { + "epoch": 1.693129995586721, + "grad_norm": 0.708568725588992, + "learning_rate": 8.404684186858962e-06, + "loss": 0.6958, + "step": 1079 + }, + { + "epoch": 1.6946991614769775, + "grad_norm": 0.6341635834833368, + "learning_rate": 8.387949532854113e-06, + "loss": 0.7012, + "step": 1080 + }, + { + "epoch": 1.6962683273672339, + "grad_norm": 0.6458269723907708, + "learning_rate": 8.371219512544182e-06, + "loss": 0.6971, + "step": 1081 + }, + { + "epoch": 1.6978374932574902, + "grad_norm": 0.6702174914601319, + "learning_rate": 8.354494174018118e-06, + "loss": 0.7254, + "step": 1082 + }, + { + "epoch": 1.6994066591477468, + "grad_norm": 0.6496132767064503, + "learning_rate": 8.337773565351407e-06, + "loss": 0.705, + "step": 1083 + }, + { + "epoch": 1.7009758250380034, + "grad_norm": 0.6965140918408609, + "learning_rate": 8.321057734605949e-06, + "loss": 0.7035, + "step": 1084 + }, + { + "epoch": 1.7025449909282597, + "grad_norm": 0.6492386198040799, + "learning_rate": 8.3043467298299e-06, + "loss": 0.7107, + "step": 1085 + }, + { + "epoch": 1.704114156818516, + "grad_norm": 0.6844803310270812, + "learning_rate": 8.287640599057551e-06, + "loss": 0.7278, + "step": 1086 + }, + { + "epoch": 1.7056833227087727, + "grad_norm": 0.6601689944185404, + "learning_rate": 8.270939390309181e-06, + "loss": 0.721, + "step": 1087 + }, + { + "epoch": 1.7072524885990292, + "grad_norm": 0.6055565802709788, + "learning_rate": 8.254243151590922e-06, + "loss": 0.6885, + "step": 1088 + }, + { + "epoch": 1.7088216544892856, + "grad_norm": 0.659804664271136, + "learning_rate": 8.237551930894616e-06, + "loss": 0.699, + "step": 1089 + }, + { + "epoch": 1.710390820379542, + "grad_norm": 0.5884698439102443, + "learning_rate": 8.22086577619769e-06, + "loss": 0.7148, + "step": 1090 + }, + { + "epoch": 1.7119599862697985, + "grad_norm": 0.5971594463869768, + "learning_rate": 8.204184735462994e-06, + "loss": 0.7134, + "step": 1091 + }, + { + "epoch": 1.713529152160055, + "grad_norm": 0.6169754619874099, + "learning_rate": 8.187508856638697e-06, + "loss": 0.7109, + "step": 1092 + }, + { + "epoch": 1.7150983180503114, + "grad_norm": 0.6443043273623997, + "learning_rate": 8.17083818765812e-06, + "loss": 0.6808, + "step": 1093 + }, + { + "epoch": 1.7166674839405678, + "grad_norm": 0.6946723093457059, + "learning_rate": 8.154172776439608e-06, + "loss": 0.7127, + "step": 1094 + }, + { + "epoch": 1.7182366498308244, + "grad_norm": 0.6047874938726835, + "learning_rate": 8.137512670886397e-06, + "loss": 0.6803, + "step": 1095 + }, + { + "epoch": 1.7198058157210807, + "grad_norm": 0.6656951538199034, + "learning_rate": 8.120857918886467e-06, + "loss": 0.7093, + "step": 1096 + }, + { + "epoch": 1.721374981611337, + "grad_norm": 0.6837507066445706, + "learning_rate": 8.10420856831242e-06, + "loss": 0.6942, + "step": 1097 + }, + { + "epoch": 1.7229441475015936, + "grad_norm": 0.635602582087701, + "learning_rate": 8.087564667021317e-06, + "loss": 0.7012, + "step": 1098 + }, + { + "epoch": 1.7245133133918502, + "grad_norm": 0.599712409319767, + "learning_rate": 8.070926262854573e-06, + "loss": 0.7049, + "step": 1099 + }, + { + "epoch": 1.7260824792821066, + "grad_norm": 0.6495867025142901, + "learning_rate": 8.054293403637787e-06, + "loss": 0.6966, + "step": 1100 + }, + { + "epoch": 1.727651645172363, + "grad_norm": 0.6718493170372416, + "learning_rate": 8.037666137180624e-06, + "loss": 0.7085, + "step": 1101 + }, + { + "epoch": 1.7292208110626195, + "grad_norm": 0.6749526961002337, + "learning_rate": 8.021044511276682e-06, + "loss": 0.7028, + "step": 1102 + }, + { + "epoch": 1.730789976952876, + "grad_norm": 0.6270599084234583, + "learning_rate": 8.00442857370333e-06, + "loss": 0.7098, + "step": 1103 + }, + { + "epoch": 1.7323591428431324, + "grad_norm": 0.6648225603969561, + "learning_rate": 7.987818372221603e-06, + "loss": 0.7173, + "step": 1104 + }, + { + "epoch": 1.7339283087333888, + "grad_norm": 0.6348604444177273, + "learning_rate": 7.971213954576031e-06, + "loss": 0.7104, + "step": 1105 + }, + { + "epoch": 1.7354974746236453, + "grad_norm": 0.6001370659336149, + "learning_rate": 7.954615368494538e-06, + "loss": 0.7059, + "step": 1106 + }, + { + "epoch": 1.737066640513902, + "grad_norm": 0.6798105594418516, + "learning_rate": 7.938022661688265e-06, + "loss": 0.7145, + "step": 1107 + }, + { + "epoch": 1.7386358064041583, + "grad_norm": 0.6360471172877283, + "learning_rate": 7.921435881851474e-06, + "loss": 0.705, + "step": 1108 + }, + { + "epoch": 1.7402049722944146, + "grad_norm": 0.6201481389190848, + "learning_rate": 7.90485507666137e-06, + "loss": 0.6879, + "step": 1109 + }, + { + "epoch": 1.7417741381846712, + "grad_norm": 0.6459395460997385, + "learning_rate": 7.888280293778001e-06, + "loss": 0.703, + "step": 1110 + }, + { + "epoch": 1.7433433040749278, + "grad_norm": 0.612585709914007, + "learning_rate": 7.871711580844102e-06, + "loss": 0.7029, + "step": 1111 + }, + { + "epoch": 1.7449124699651841, + "grad_norm": 0.6470757813091548, + "learning_rate": 7.855148985484946e-06, + "loss": 0.7088, + "step": 1112 + }, + { + "epoch": 1.7464816358554405, + "grad_norm": 0.6097058940318653, + "learning_rate": 7.838592555308244e-06, + "loss": 0.7018, + "step": 1113 + }, + { + "epoch": 1.748050801745697, + "grad_norm": 0.6122460281216233, + "learning_rate": 7.822042337903964e-06, + "loss": 0.7031, + "step": 1114 + }, + { + "epoch": 1.7496199676359536, + "grad_norm": 0.5971811555292899, + "learning_rate": 7.805498380844236e-06, + "loss": 0.7043, + "step": 1115 + }, + { + "epoch": 1.75118913352621, + "grad_norm": 0.6353531859378245, + "learning_rate": 7.788960731683174e-06, + "loss": 0.7323, + "step": 1116 + }, + { + "epoch": 1.7527582994164663, + "grad_norm": 0.6195863182578605, + "learning_rate": 7.772429437956777e-06, + "loss": 0.6801, + "step": 1117 + }, + { + "epoch": 1.754327465306723, + "grad_norm": 0.6534979629661563, + "learning_rate": 7.755904547182778e-06, + "loss": 0.7307, + "step": 1118 + }, + { + "epoch": 1.7558966311969795, + "grad_norm": 0.6203916414515298, + "learning_rate": 7.739386106860485e-06, + "loss": 0.727, + "step": 1119 + }, + { + "epoch": 1.7574657970872358, + "grad_norm": 0.572405593970221, + "learning_rate": 7.722874164470685e-06, + "loss": 0.6816, + "step": 1120 + }, + { + "epoch": 1.7590349629774922, + "grad_norm": 0.6302250883720385, + "learning_rate": 7.70636876747548e-06, + "loss": 0.6967, + "step": 1121 + }, + { + "epoch": 1.7606041288677488, + "grad_norm": 0.677220696069866, + "learning_rate": 7.689869963318154e-06, + "loss": 0.7089, + "step": 1122 + }, + { + "epoch": 1.7621732947580053, + "grad_norm": 0.6541747936470931, + "learning_rate": 7.673377799423047e-06, + "loss": 0.7224, + "step": 1123 + }, + { + "epoch": 1.7637424606482617, + "grad_norm": 0.6566712143387494, + "learning_rate": 7.656892323195414e-06, + "loss": 0.6964, + "step": 1124 + }, + { + "epoch": 1.765311626538518, + "grad_norm": 0.665809611809167, + "learning_rate": 7.64041358202127e-06, + "loss": 0.7227, + "step": 1125 + }, + { + "epoch": 1.7668807924287746, + "grad_norm": 0.6281827985793729, + "learning_rate": 7.6239416232672904e-06, + "loss": 0.6997, + "step": 1126 + }, + { + "epoch": 1.7684499583190312, + "grad_norm": 0.6507539991939618, + "learning_rate": 7.607476494280653e-06, + "loss": 0.6937, + "step": 1127 + }, + { + "epoch": 1.7700191242092875, + "grad_norm": 0.6359338791494793, + "learning_rate": 7.591018242388888e-06, + "loss": 0.7067, + "step": 1128 + }, + { + "epoch": 1.7715882900995439, + "grad_norm": 0.6121130124235268, + "learning_rate": 7.574566914899779e-06, + "loss": 0.687, + "step": 1129 + }, + { + "epoch": 1.7731574559898005, + "grad_norm": 0.6585417807949921, + "learning_rate": 7.5581225591011864e-06, + "loss": 0.7131, + "step": 1130 + }, + { + "epoch": 1.774726621880057, + "grad_norm": 0.7000636376122298, + "learning_rate": 7.541685222260948e-06, + "loss": 0.6959, + "step": 1131 + }, + { + "epoch": 1.7762957877703134, + "grad_norm": 0.651308126942087, + "learning_rate": 7.525254951626712e-06, + "loss": 0.7051, + "step": 1132 + }, + { + "epoch": 1.7778649536605697, + "grad_norm": 0.6549972425198098, + "learning_rate": 7.5088317944258305e-06, + "loss": 0.6977, + "step": 1133 + }, + { + "epoch": 1.7794341195508263, + "grad_norm": 0.6300073025952618, + "learning_rate": 7.492415797865191e-06, + "loss": 0.7004, + "step": 1134 + }, + { + "epoch": 1.7810032854410829, + "grad_norm": 0.6601507019986638, + "learning_rate": 7.476007009131112e-06, + "loss": 0.6983, + "step": 1135 + }, + { + "epoch": 1.7825724513313392, + "grad_norm": 0.621486442547712, + "learning_rate": 7.459605475389193e-06, + "loss": 0.6929, + "step": 1136 + }, + { + "epoch": 1.7841416172215956, + "grad_norm": 0.6140955996488306, + "learning_rate": 7.44321124378417e-06, + "loss": 0.6872, + "step": 1137 + }, + { + "epoch": 1.7857107831118522, + "grad_norm": 0.6319486258470721, + "learning_rate": 7.426824361439803e-06, + "loss": 0.7088, + "step": 1138 + }, + { + "epoch": 1.7872799490021085, + "grad_norm": 0.6263204875215514, + "learning_rate": 7.41044487545871e-06, + "loss": 0.7126, + "step": 1139 + }, + { + "epoch": 1.7888491148923649, + "grad_norm": 0.6359878910671518, + "learning_rate": 7.394072832922268e-06, + "loss": 0.7023, + "step": 1140 + }, + { + "epoch": 1.7904182807826214, + "grad_norm": 0.6152475421394614, + "learning_rate": 7.3777082808904435e-06, + "loss": 0.7007, + "step": 1141 + }, + { + "epoch": 1.791987446672878, + "grad_norm": 0.7300175781449448, + "learning_rate": 7.361351266401682e-06, + "loss": 0.7179, + "step": 1142 + }, + { + "epoch": 1.7935566125631344, + "grad_norm": 0.6734639434083697, + "learning_rate": 7.345001836472754e-06, + "loss": 0.6954, + "step": 1143 + }, + { + "epoch": 1.7951257784533907, + "grad_norm": 0.6559915907143103, + "learning_rate": 7.328660038098636e-06, + "loss": 0.6975, + "step": 1144 + }, + { + "epoch": 1.7966949443436473, + "grad_norm": 0.6230344497628719, + "learning_rate": 7.312325918252373e-06, + "loss": 0.6896, + "step": 1145 + }, + { + "epoch": 1.7982641102339039, + "grad_norm": 0.6418743424655805, + "learning_rate": 7.295999523884921e-06, + "loss": 0.7075, + "step": 1146 + }, + { + "epoch": 1.7998332761241602, + "grad_norm": 0.6345174041260885, + "learning_rate": 7.279680901925051e-06, + "loss": 0.6982, + "step": 1147 + }, + { + "epoch": 1.8014024420144166, + "grad_norm": 0.6815099482696455, + "learning_rate": 7.263370099279173e-06, + "loss": 0.7061, + "step": 1148 + }, + { + "epoch": 1.8029716079046731, + "grad_norm": 0.6375270587693587, + "learning_rate": 7.247067162831237e-06, + "loss": 0.7279, + "step": 1149 + }, + { + "epoch": 1.8045407737949297, + "grad_norm": 0.6504743023164037, + "learning_rate": 7.230772139442572e-06, + "loss": 0.6958, + "step": 1150 + }, + { + "epoch": 1.806109939685186, + "grad_norm": 0.6605354589680494, + "learning_rate": 7.214485075951771e-06, + "loss": 0.6904, + "step": 1151 + }, + { + "epoch": 1.8076791055754424, + "grad_norm": 0.6170601615698432, + "learning_rate": 7.198206019174534e-06, + "loss": 0.6947, + "step": 1152 + }, + { + "epoch": 1.809248271465699, + "grad_norm": 0.6541446258968322, + "learning_rate": 7.181935015903558e-06, + "loss": 0.7062, + "step": 1153 + }, + { + "epoch": 1.8108174373559556, + "grad_norm": 0.6584528391904312, + "learning_rate": 7.165672112908393e-06, + "loss": 0.702, + "step": 1154 + }, + { + "epoch": 1.812386603246212, + "grad_norm": 0.6332537278885018, + "learning_rate": 7.149417356935289e-06, + "loss": 0.6919, + "step": 1155 + }, + { + "epoch": 1.8139557691364683, + "grad_norm": 0.6131041572435836, + "learning_rate": 7.133170794707096e-06, + "loss": 0.6835, + "step": 1156 + }, + { + "epoch": 1.8155249350267249, + "grad_norm": 0.6285075754323795, + "learning_rate": 7.116932472923098e-06, + "loss": 0.7236, + "step": 1157 + }, + { + "epoch": 1.8170941009169814, + "grad_norm": 0.6553522780245459, + "learning_rate": 7.100702438258905e-06, + "loss": 0.7045, + "step": 1158 + }, + { + "epoch": 1.8186632668072378, + "grad_norm": 0.6814098888024047, + "learning_rate": 7.084480737366297e-06, + "loss": 0.7048, + "step": 1159 + }, + { + "epoch": 1.8202324326974941, + "grad_norm": 0.6812839488763198, + "learning_rate": 7.068267416873102e-06, + "loss": 0.7076, + "step": 1160 + }, + { + "epoch": 1.8218015985877507, + "grad_norm": 0.6119633775778521, + "learning_rate": 7.052062523383065e-06, + "loss": 0.7157, + "step": 1161 + }, + { + "epoch": 1.8233707644780073, + "grad_norm": 0.6395066806290381, + "learning_rate": 7.035866103475698e-06, + "loss": 0.7048, + "step": 1162 + }, + { + "epoch": 1.8249399303682636, + "grad_norm": 0.6420004479602329, + "learning_rate": 7.019678203706164e-06, + "loss": 0.688, + "step": 1163 + }, + { + "epoch": 1.82650909625852, + "grad_norm": 0.6428224074749301, + "learning_rate": 7.0034988706051325e-06, + "loss": 0.7029, + "step": 1164 + }, + { + "epoch": 1.8280782621487766, + "grad_norm": 0.6180945076131441, + "learning_rate": 6.987328150678652e-06, + "loss": 0.6981, + "step": 1165 + }, + { + "epoch": 1.8296474280390331, + "grad_norm": 0.6658191389298024, + "learning_rate": 6.9711660904080055e-06, + "loss": 0.7133, + "step": 1166 + }, + { + "epoch": 1.8312165939292895, + "grad_norm": 0.6269620808352516, + "learning_rate": 6.955012736249598e-06, + "loss": 0.6915, + "step": 1167 + }, + { + "epoch": 1.8327857598195458, + "grad_norm": 0.6347435455195121, + "learning_rate": 6.938868134634793e-06, + "loss": 0.6862, + "step": 1168 + }, + { + "epoch": 1.8343549257098024, + "grad_norm": 0.68734574220207, + "learning_rate": 6.922732331969808e-06, + "loss": 0.7223, + "step": 1169 + }, + { + "epoch": 1.835924091600059, + "grad_norm": 0.7521968601568131, + "learning_rate": 6.90660537463557e-06, + "loss": 0.7278, + "step": 1170 + }, + { + "epoch": 1.8374932574903153, + "grad_norm": 0.6615864158860839, + "learning_rate": 6.890487308987567e-06, + "loss": 0.6935, + "step": 1171 + }, + { + "epoch": 1.8390624233805717, + "grad_norm": 0.6575366132447145, + "learning_rate": 6.8743781813557455e-06, + "loss": 0.699, + "step": 1172 + }, + { + "epoch": 1.8406315892708283, + "grad_norm": 0.605647784389949, + "learning_rate": 6.858278038044344e-06, + "loss": 0.7106, + "step": 1173 + }, + { + "epoch": 1.8422007551610848, + "grad_norm": 0.6151684801912656, + "learning_rate": 6.842186925331793e-06, + "loss": 0.6822, + "step": 1174 + }, + { + "epoch": 1.8437699210513412, + "grad_norm": 0.6496773321129877, + "learning_rate": 6.8261048894705505e-06, + "loss": 0.7023, + "step": 1175 + }, + { + "epoch": 1.8453390869415975, + "grad_norm": 0.6790779081064787, + "learning_rate": 6.810031976686994e-06, + "loss": 0.7009, + "step": 1176 + }, + { + "epoch": 1.8469082528318541, + "grad_norm": 0.6492562303262582, + "learning_rate": 6.793968233181274e-06, + "loss": 0.7033, + "step": 1177 + }, + { + "epoch": 1.8484774187221107, + "grad_norm": 0.6795535516752428, + "learning_rate": 6.777913705127181e-06, + "loss": 0.6974, + "step": 1178 + }, + { + "epoch": 1.850046584612367, + "grad_norm": 0.6133435325482682, + "learning_rate": 6.761868438672028e-06, + "loss": 0.6768, + "step": 1179 + }, + { + "epoch": 1.8516157505026234, + "grad_norm": 0.6734783786535161, + "learning_rate": 6.745832479936492e-06, + "loss": 0.7258, + "step": 1180 + }, + { + "epoch": 1.85318491639288, + "grad_norm": 0.6553186703528671, + "learning_rate": 6.729805875014506e-06, + "loss": 0.692, + "step": 1181 + }, + { + "epoch": 1.8547540822831363, + "grad_norm": 0.6689015345419655, + "learning_rate": 6.713788669973108e-06, + "loss": 0.7275, + "step": 1182 + }, + { + "epoch": 1.8563232481733927, + "grad_norm": 0.652414854955715, + "learning_rate": 6.6977809108523295e-06, + "loss": 0.7032, + "step": 1183 + }, + { + "epoch": 1.8578924140636492, + "grad_norm": 0.6660192902805323, + "learning_rate": 6.6817826436650335e-06, + "loss": 0.709, + "step": 1184 + }, + { + "epoch": 1.8594615799539058, + "grad_norm": 0.6294970132004326, + "learning_rate": 6.665793914396818e-06, + "loss": 0.6991, + "step": 1185 + }, + { + "epoch": 1.8610307458441622, + "grad_norm": 0.6494049490430254, + "learning_rate": 6.649814769005847e-06, + "loss": 0.7049, + "step": 1186 + }, + { + "epoch": 1.8625999117344185, + "grad_norm": 0.6450618366003338, + "learning_rate": 6.633845253422748e-06, + "loss": 0.686, + "step": 1187 + }, + { + "epoch": 1.864169077624675, + "grad_norm": 0.6273351263132932, + "learning_rate": 6.617885413550471e-06, + "loss": 0.6983, + "step": 1188 + }, + { + "epoch": 1.8657382435149317, + "grad_norm": 0.6407254618041669, + "learning_rate": 6.601935295264139e-06, + "loss": 0.6948, + "step": 1189 + }, + { + "epoch": 1.867307409405188, + "grad_norm": 0.6199466084000794, + "learning_rate": 6.5859949444109495e-06, + "loss": 0.6991, + "step": 1190 + }, + { + "epoch": 1.8688765752954444, + "grad_norm": 0.6436014472593918, + "learning_rate": 6.570064406810008e-06, + "loss": 0.7057, + "step": 1191 + }, + { + "epoch": 1.870445741185701, + "grad_norm": 0.606860907475786, + "learning_rate": 6.554143728252229e-06, + "loss": 0.7173, + "step": 1192 + }, + { + "epoch": 1.8720149070759575, + "grad_norm": 0.6066268486690809, + "learning_rate": 6.53823295450017e-06, + "loss": 0.7038, + "step": 1193 + }, + { + "epoch": 1.8735840729662139, + "grad_norm": 0.6279211466266119, + "learning_rate": 6.522332131287931e-06, + "loss": 0.6995, + "step": 1194 + }, + { + "epoch": 1.8751532388564702, + "grad_norm": 0.6780794136317954, + "learning_rate": 6.506441304321012e-06, + "loss": 0.7021, + "step": 1195 + }, + { + "epoch": 1.8767224047467268, + "grad_norm": 0.6918516064639121, + "learning_rate": 6.4905605192761656e-06, + "loss": 0.7025, + "step": 1196 + }, + { + "epoch": 1.8782915706369834, + "grad_norm": 0.6397444651462989, + "learning_rate": 6.474689821801295e-06, + "loss": 0.7016, + "step": 1197 + }, + { + "epoch": 1.8798607365272397, + "grad_norm": 0.6586939047854918, + "learning_rate": 6.4588292575152955e-06, + "loss": 0.6935, + "step": 1198 + }, + { + "epoch": 1.881429902417496, + "grad_norm": 0.659129961467629, + "learning_rate": 6.442978872007946e-06, + "loss": 0.72, + "step": 1199 + }, + { + "epoch": 1.8829990683077527, + "grad_norm": 0.6227414109356603, + "learning_rate": 6.42713871083976e-06, + "loss": 0.6982, + "step": 1200 + }, + { + "epoch": 1.8845682341980092, + "grad_norm": 0.5865974974437855, + "learning_rate": 6.411308819541863e-06, + "loss": 0.6706, + "step": 1201 + }, + { + "epoch": 1.8861374000882656, + "grad_norm": 0.6426127256430466, + "learning_rate": 6.395489243615861e-06, + "loss": 0.683, + "step": 1202 + }, + { + "epoch": 1.887706565978522, + "grad_norm": 0.7075310580622208, + "learning_rate": 6.379680028533714e-06, + "loss": 0.7047, + "step": 1203 + }, + { + "epoch": 1.8892757318687785, + "grad_norm": 0.6629674504863359, + "learning_rate": 6.363881219737599e-06, + "loss": 0.7181, + "step": 1204 + }, + { + "epoch": 1.890844897759035, + "grad_norm": 0.6551682368715769, + "learning_rate": 6.348092862639772e-06, + "loss": 0.7074, + "step": 1205 + }, + { + "epoch": 1.8924140636492914, + "grad_norm": 0.6061861217859599, + "learning_rate": 6.332315002622461e-06, + "loss": 0.7005, + "step": 1206 + }, + { + "epoch": 1.8939832295395478, + "grad_norm": 0.675041981785903, + "learning_rate": 6.316547685037707e-06, + "loss": 0.6858, + "step": 1207 + }, + { + "epoch": 1.8955523954298044, + "grad_norm": 0.6344423128781724, + "learning_rate": 6.300790955207262e-06, + "loss": 0.6825, + "step": 1208 + }, + { + "epoch": 1.897121561320061, + "grad_norm": 0.6460233777183989, + "learning_rate": 6.285044858422429e-06, + "loss": 0.6993, + "step": 1209 + }, + { + "epoch": 1.8986907272103173, + "grad_norm": 0.6365019211850873, + "learning_rate": 6.269309439943963e-06, + "loss": 0.6914, + "step": 1210 + }, + { + "epoch": 1.9002598931005736, + "grad_norm": 0.6522649543255505, + "learning_rate": 6.253584745001908e-06, + "loss": 0.7229, + "step": 1211 + }, + { + "epoch": 1.9018290589908302, + "grad_norm": 0.6055627378981961, + "learning_rate": 6.237870818795499e-06, + "loss": 0.6996, + "step": 1212 + }, + { + "epoch": 1.9033982248810868, + "grad_norm": 0.6837493058201992, + "learning_rate": 6.222167706493016e-06, + "loss": 0.6924, + "step": 1213 + }, + { + "epoch": 1.9049673907713431, + "grad_norm": 0.6552310529367559, + "learning_rate": 6.206475453231644e-06, + "loss": 0.7007, + "step": 1214 + }, + { + "epoch": 1.9065365566615995, + "grad_norm": 0.6126641002931191, + "learning_rate": 6.190794104117368e-06, + "loss": 0.6744, + "step": 1215 + }, + { + "epoch": 1.908105722551856, + "grad_norm": 0.5974081882305156, + "learning_rate": 6.175123704224814e-06, + "loss": 0.6889, + "step": 1216 + }, + { + "epoch": 1.9096748884421126, + "grad_norm": 0.6345803586892547, + "learning_rate": 6.1594642985971565e-06, + "loss": 0.6874, + "step": 1217 + }, + { + "epoch": 1.911244054332369, + "grad_norm": 0.5714376332451121, + "learning_rate": 6.143815932245951e-06, + "loss": 0.685, + "step": 1218 + }, + { + "epoch": 1.9128132202226253, + "grad_norm": 0.609582576120246, + "learning_rate": 6.128178650151026e-06, + "loss": 0.6934, + "step": 1219 + }, + { + "epoch": 1.914382386112882, + "grad_norm": 0.6239403437710609, + "learning_rate": 6.112552497260353e-06, + "loss": 0.7222, + "step": 1220 + }, + { + "epoch": 1.9159515520031385, + "grad_norm": 0.6256073955673842, + "learning_rate": 6.096937518489912e-06, + "loss": 0.7009, + "step": 1221 + }, + { + "epoch": 1.9175207178933948, + "grad_norm": 0.6455703858912576, + "learning_rate": 6.081333758723562e-06, + "loss": 0.6953, + "step": 1222 + }, + { + "epoch": 1.9190898837836512, + "grad_norm": 0.6125302149136747, + "learning_rate": 6.065741262812914e-06, + "loss": 0.6943, + "step": 1223 + }, + { + "epoch": 1.9206590496739078, + "grad_norm": 0.6061051920487148, + "learning_rate": 6.0501600755772074e-06, + "loss": 0.7012, + "step": 1224 + }, + { + "epoch": 1.9222282155641641, + "grad_norm": 0.6187039627628196, + "learning_rate": 6.0345902418031645e-06, + "loss": 0.7029, + "step": 1225 + }, + { + "epoch": 1.9237973814544205, + "grad_norm": 0.6376717568508281, + "learning_rate": 6.019031806244888e-06, + "loss": 0.7116, + "step": 1226 + }, + { + "epoch": 1.925366547344677, + "grad_norm": 0.610664608337934, + "learning_rate": 6.0034848136237035e-06, + "loss": 0.7179, + "step": 1227 + }, + { + "epoch": 1.9269357132349336, + "grad_norm": 0.6886841222426429, + "learning_rate": 5.987949308628054e-06, + "loss": 0.7282, + "step": 1228 + }, + { + "epoch": 1.92850487912519, + "grad_norm": 0.617905273538838, + "learning_rate": 5.9724253359133614e-06, + "loss": 0.688, + "step": 1229 + }, + { + "epoch": 1.9300740450154463, + "grad_norm": 0.6166033854421795, + "learning_rate": 5.956912940101891e-06, + "loss": 0.7218, + "step": 1230 + }, + { + "epoch": 1.931643210905703, + "grad_norm": 0.6449146850384282, + "learning_rate": 5.941412165782645e-06, + "loss": 0.6818, + "step": 1231 + }, + { + "epoch": 1.9332123767959595, + "grad_norm": 0.6648675935318192, + "learning_rate": 5.925923057511207e-06, + "loss": 0.7072, + "step": 1232 + }, + { + "epoch": 1.9347815426862158, + "grad_norm": 0.6225488767890067, + "learning_rate": 5.910445659809638e-06, + "loss": 0.6811, + "step": 1233 + }, + { + "epoch": 1.9363507085764722, + "grad_norm": 0.6079131353571832, + "learning_rate": 5.894980017166329e-06, + "loss": 0.6923, + "step": 1234 + }, + { + "epoch": 1.9379198744667288, + "grad_norm": 0.6054139293696174, + "learning_rate": 5.87952617403589e-06, + "loss": 0.7024, + "step": 1235 + }, + { + "epoch": 1.9394890403569853, + "grad_norm": 0.6313623365459131, + "learning_rate": 5.864084174839013e-06, + "loss": 0.6896, + "step": 1236 + }, + { + "epoch": 1.9410582062472417, + "grad_norm": 0.6724157702289305, + "learning_rate": 5.848654063962338e-06, + "loss": 0.7045, + "step": 1237 + }, + { + "epoch": 1.942627372137498, + "grad_norm": 0.6486622322371252, + "learning_rate": 5.833235885758346e-06, + "loss": 0.7116, + "step": 1238 + }, + { + "epoch": 1.9441965380277546, + "grad_norm": 0.6690736010146388, + "learning_rate": 5.817829684545204e-06, + "loss": 0.7081, + "step": 1239 + }, + { + "epoch": 1.9457657039180112, + "grad_norm": 0.6395365210454842, + "learning_rate": 5.80243550460667e-06, + "loss": 0.6985, + "step": 1240 + }, + { + "epoch": 1.9473348698082675, + "grad_norm": 0.653059451196709, + "learning_rate": 5.787053390191925e-06, + "loss": 0.6826, + "step": 1241 + }, + { + "epoch": 1.9489040356985239, + "grad_norm": 0.6438436764289824, + "learning_rate": 5.771683385515495e-06, + "loss": 0.7017, + "step": 1242 + }, + { + "epoch": 1.9504732015887805, + "grad_norm": 0.6053209673124681, + "learning_rate": 5.75632553475707e-06, + "loss": 0.6874, + "step": 1243 + }, + { + "epoch": 1.952042367479037, + "grad_norm": 0.6734140575018616, + "learning_rate": 5.740979882061433e-06, + "loss": 0.7007, + "step": 1244 + }, + { + "epoch": 1.9536115333692934, + "grad_norm": 0.650156651309369, + "learning_rate": 5.7256464715382754e-06, + "loss": 0.7005, + "step": 1245 + }, + { + "epoch": 1.9551806992595497, + "grad_norm": 0.6343794182017768, + "learning_rate": 5.710325347262125e-06, + "loss": 0.6989, + "step": 1246 + }, + { + "epoch": 1.9567498651498063, + "grad_norm": 0.6338702298199358, + "learning_rate": 5.695016553272182e-06, + "loss": 0.6771, + "step": 1247 + }, + { + "epoch": 1.9583190310400629, + "grad_norm": 0.6407917999891801, + "learning_rate": 5.6797201335722064e-06, + "loss": 0.7093, + "step": 1248 + }, + { + "epoch": 1.9598881969303192, + "grad_norm": 0.6399231661940882, + "learning_rate": 5.664436132130384e-06, + "loss": 0.6993, + "step": 1249 + }, + { + "epoch": 1.9614573628205756, + "grad_norm": 0.6184857642387768, + "learning_rate": 5.649164592879213e-06, + "loss": 0.708, + "step": 1250 + }, + { + "epoch": 1.9630265287108322, + "grad_norm": 0.6253891495439089, + "learning_rate": 5.6339055597153734e-06, + "loss": 0.7043, + "step": 1251 + }, + { + "epoch": 1.9645956946010887, + "grad_norm": 0.6237149252509561, + "learning_rate": 5.618659076499578e-06, + "loss": 0.6883, + "step": 1252 + }, + { + "epoch": 1.966164860491345, + "grad_norm": 0.6610964719405238, + "learning_rate": 5.603425187056496e-06, + "loss": 0.6828, + "step": 1253 + }, + { + "epoch": 1.9677340263816014, + "grad_norm": 0.6728073741297635, + "learning_rate": 5.588203935174563e-06, + "loss": 0.7036, + "step": 1254 + }, + { + "epoch": 1.969303192271858, + "grad_norm": 0.65038180509265, + "learning_rate": 5.572995364605921e-06, + "loss": 0.6883, + "step": 1255 + }, + { + "epoch": 1.9708723581621146, + "grad_norm": 0.6352491383991571, + "learning_rate": 5.55779951906624e-06, + "loss": 0.7105, + "step": 1256 + }, + { + "epoch": 1.972441524052371, + "grad_norm": 0.6335832091684889, + "learning_rate": 5.542616442234618e-06, + "loss": 0.7004, + "step": 1257 + }, + { + "epoch": 1.9740106899426273, + "grad_norm": 0.5831399595779609, + "learning_rate": 5.527446177753455e-06, + "loss": 0.6986, + "step": 1258 + }, + { + "epoch": 1.9755798558328839, + "grad_norm": 0.610766430097919, + "learning_rate": 5.512288769228318e-06, + "loss": 0.7071, + "step": 1259 + }, + { + "epoch": 1.9771490217231404, + "grad_norm": 0.6782468188201447, + "learning_rate": 5.49714426022782e-06, + "loss": 0.7053, + "step": 1260 + }, + { + "epoch": 1.9787181876133968, + "grad_norm": 0.6364731002267259, + "learning_rate": 5.482012694283503e-06, + "loss": 0.6756, + "step": 1261 + }, + { + "epoch": 1.9802873535036531, + "grad_norm": 0.6209452005657374, + "learning_rate": 5.466894114889697e-06, + "loss": 0.6814, + "step": 1262 + }, + { + "epoch": 1.9818565193939097, + "grad_norm": 0.6252634965080772, + "learning_rate": 5.451788565503406e-06, + "loss": 0.7067, + "step": 1263 + }, + { + "epoch": 1.9834256852841663, + "grad_norm": 0.6515761958953034, + "learning_rate": 5.43669608954418e-06, + "loss": 0.7025, + "step": 1264 + }, + { + "epoch": 1.9849948511744226, + "grad_norm": 0.6395587401705605, + "learning_rate": 5.421616730394e-06, + "loss": 0.687, + "step": 1265 + }, + { + "epoch": 1.986564017064679, + "grad_norm": 0.611002126634849, + "learning_rate": 5.406550531397123e-06, + "loss": 0.6937, + "step": 1266 + }, + { + "epoch": 1.9881331829549356, + "grad_norm": 0.6403543434666442, + "learning_rate": 5.391497535859999e-06, + "loss": 0.6971, + "step": 1267 + }, + { + "epoch": 1.989702348845192, + "grad_norm": 0.6403736195000795, + "learning_rate": 5.376457787051117e-06, + "loss": 0.6933, + "step": 1268 + }, + { + "epoch": 1.9912715147354483, + "grad_norm": 0.5968961618757637, + "learning_rate": 5.361431328200888e-06, + "loss": 0.6731, + "step": 1269 + }, + { + "epoch": 1.9928406806257049, + "grad_norm": 0.6478190412143306, + "learning_rate": 5.346418202501526e-06, + "loss": 0.6992, + "step": 1270 + }, + { + "epoch": 1.9944098465159614, + "grad_norm": 0.6327793952156039, + "learning_rate": 5.331418453106916e-06, + "loss": 0.6892, + "step": 1271 + }, + { + "epoch": 1.9959790124062178, + "grad_norm": 0.6470153466147767, + "learning_rate": 5.316432123132498e-06, + "loss": 0.684, + "step": 1272 + }, + { + "epoch": 1.9975481782964741, + "grad_norm": 0.61029701971341, + "learning_rate": 5.301459255655134e-06, + "loss": 0.702, + "step": 1273 + }, + { + "epoch": 1.9991173441867307, + "grad_norm": 0.6172624667831884, + "learning_rate": 5.286499893713003e-06, + "loss": 0.6801, + "step": 1274 + }, + { + "epoch": 2.0006865100769873, + "grad_norm": 0.6502943362915738, + "learning_rate": 5.271554080305439e-06, + "loss": 0.6862, + "step": 1275 + }, + { + "epoch": 2.002255675967244, + "grad_norm": 0.6532695834133205, + "learning_rate": 5.256621858392861e-06, + "loss": 0.645, + "step": 1276 + }, + { + "epoch": 2.0038248418575, + "grad_norm": 0.679386923860287, + "learning_rate": 5.241703270896589e-06, + "loss": 0.6094, + "step": 1277 + }, + { + "epoch": 2.0053940077477566, + "grad_norm": 0.5922442173268206, + "learning_rate": 5.226798360698786e-06, + "loss": 0.593, + "step": 1278 + }, + { + "epoch": 2.006963173638013, + "grad_norm": 0.6207292942961803, + "learning_rate": 5.211907170642267e-06, + "loss": 0.6396, + "step": 1279 + }, + { + "epoch": 2.0085323395282697, + "grad_norm": 0.6938543608650418, + "learning_rate": 5.1970297435304395e-06, + "loss": 0.6225, + "step": 1280 + }, + { + "epoch": 2.010101505418526, + "grad_norm": 0.6951419788663918, + "learning_rate": 5.18216612212713e-06, + "loss": 0.633, + "step": 1281 + }, + { + "epoch": 2.0116706713087824, + "grad_norm": 0.6685786850904167, + "learning_rate": 5.167316349156495e-06, + "loss": 0.6046, + "step": 1282 + }, + { + "epoch": 2.013239837199039, + "grad_norm": 0.6525886452405972, + "learning_rate": 5.1524804673028725e-06, + "loss": 0.636, + "step": 1283 + }, + { + "epoch": 2.0148090030892956, + "grad_norm": 0.6444216013425876, + "learning_rate": 5.1376585192106824e-06, + "loss": 0.6379, + "step": 1284 + }, + { + "epoch": 2.0163781689795517, + "grad_norm": 0.6223171786423164, + "learning_rate": 5.1228505474842885e-06, + "loss": 0.6328, + "step": 1285 + }, + { + "epoch": 2.0179473348698083, + "grad_norm": 0.5954563203202149, + "learning_rate": 5.10805659468788e-06, + "loss": 0.6072, + "step": 1286 + }, + { + "epoch": 2.019516500760065, + "grad_norm": 0.609285786041519, + "learning_rate": 5.093276703345351e-06, + "loss": 0.6329, + "step": 1287 + }, + { + "epoch": 2.021085666650321, + "grad_norm": 0.6138686877469576, + "learning_rate": 5.078510915940178e-06, + "loss": 0.6145, + "step": 1288 + }, + { + "epoch": 2.0226548325405775, + "grad_norm": 0.6359266591864806, + "learning_rate": 5.063759274915299e-06, + "loss": 0.6162, + "step": 1289 + }, + { + "epoch": 2.024223998430834, + "grad_norm": 0.5900005292856023, + "learning_rate": 5.0490218226729855e-06, + "loss": 0.6036, + "step": 1290 + }, + { + "epoch": 2.0257931643210907, + "grad_norm": 0.647771565313278, + "learning_rate": 5.034298601574726e-06, + "loss": 0.6316, + "step": 1291 + }, + { + "epoch": 2.027362330211347, + "grad_norm": 0.6180522481125589, + "learning_rate": 5.019589653941103e-06, + "loss": 0.6229, + "step": 1292 + }, + { + "epoch": 2.0289314961016034, + "grad_norm": 0.6121145229950486, + "learning_rate": 5.0048950220516725e-06, + "loss": 0.6297, + "step": 1293 + }, + { + "epoch": 2.03050066199186, + "grad_norm": 0.6516540867206794, + "learning_rate": 4.990214748144837e-06, + "loss": 0.6256, + "step": 1294 + }, + { + "epoch": 2.0320698278821165, + "grad_norm": 0.6896438757414021, + "learning_rate": 4.975548874417733e-06, + "loss": 0.639, + "step": 1295 + }, + { + "epoch": 2.0336389937723727, + "grad_norm": 0.6546359792448009, + "learning_rate": 4.9608974430261025e-06, + "loss": 0.614, + "step": 1296 + }, + { + "epoch": 2.0352081596626292, + "grad_norm": 0.6495885745428986, + "learning_rate": 4.946260496084175e-06, + "loss": 0.6188, + "step": 1297 + }, + { + "epoch": 2.036777325552886, + "grad_norm": 0.6670220750986432, + "learning_rate": 4.931638075664544e-06, + "loss": 0.6279, + "step": 1298 + }, + { + "epoch": 2.0383464914431424, + "grad_norm": 0.6466837858565543, + "learning_rate": 4.917030223798057e-06, + "loss": 0.6226, + "step": 1299 + }, + { + "epoch": 2.0399156573333985, + "grad_norm": 0.6252366671151887, + "learning_rate": 4.9024369824736654e-06, + "loss": 0.6166, + "step": 1300 + }, + { + "epoch": 2.041484823223655, + "grad_norm": 0.618641258105832, + "learning_rate": 4.88785839363835e-06, + "loss": 0.6072, + "step": 1301 + }, + { + "epoch": 2.0430539891139117, + "grad_norm": 0.6261693841939681, + "learning_rate": 4.873294499196946e-06, + "loss": 0.6112, + "step": 1302 + }, + { + "epoch": 2.0446231550041682, + "grad_norm": 0.6374330661267035, + "learning_rate": 4.85874534101208e-06, + "loss": 0.6188, + "step": 1303 + }, + { + "epoch": 2.0461923208944244, + "grad_norm": 0.6451208890553017, + "learning_rate": 4.844210960903998e-06, + "loss": 0.6146, + "step": 1304 + }, + { + "epoch": 2.047761486784681, + "grad_norm": 0.6171151222356629, + "learning_rate": 4.829691400650478e-06, + "loss": 0.6246, + "step": 1305 + }, + { + "epoch": 2.0493306526749375, + "grad_norm": 0.6209394509604264, + "learning_rate": 4.8151867019866985e-06, + "loss": 0.6135, + "step": 1306 + }, + { + "epoch": 2.050899818565194, + "grad_norm": 0.6479307989678751, + "learning_rate": 4.800696906605117e-06, + "loss": 0.6291, + "step": 1307 + }, + { + "epoch": 2.0524689844554502, + "grad_norm": 0.626833864075317, + "learning_rate": 4.786222056155356e-06, + "loss": 0.6297, + "step": 1308 + }, + { + "epoch": 2.054038150345707, + "grad_norm": 0.6884180450327059, + "learning_rate": 4.771762192244075e-06, + "loss": 0.6318, + "step": 1309 + }, + { + "epoch": 2.0556073162359634, + "grad_norm": 0.5961981176872094, + "learning_rate": 4.757317356434869e-06, + "loss": 0.6143, + "step": 1310 + }, + { + "epoch": 2.05717648212622, + "grad_norm": 0.6240117691297208, + "learning_rate": 4.742887590248114e-06, + "loss": 0.6174, + "step": 1311 + }, + { + "epoch": 2.058745648016476, + "grad_norm": 0.6225306028664694, + "learning_rate": 4.7284729351608985e-06, + "loss": 0.6437, + "step": 1312 + }, + { + "epoch": 2.0603148139067327, + "grad_norm": 0.6769715250396284, + "learning_rate": 4.714073432606841e-06, + "loss": 0.6149, + "step": 1313 + }, + { + "epoch": 2.0618839797969892, + "grad_norm": 0.6330285259582916, + "learning_rate": 4.699689123976039e-06, + "loss": 0.6218, + "step": 1314 + }, + { + "epoch": 2.063453145687246, + "grad_norm": 0.5975271077189797, + "learning_rate": 4.6853200506148955e-06, + "loss": 0.6238, + "step": 1315 + }, + { + "epoch": 2.065022311577502, + "grad_norm": 0.6462635721840223, + "learning_rate": 4.670966253826027e-06, + "loss": 0.5896, + "step": 1316 + }, + { + "epoch": 2.0665914774677585, + "grad_norm": 0.6577166325621118, + "learning_rate": 4.65662777486814e-06, + "loss": 0.6292, + "step": 1317 + }, + { + "epoch": 2.068160643358015, + "grad_norm": 0.6566413920626784, + "learning_rate": 4.6423046549559095e-06, + "loss": 0.6286, + "step": 1318 + }, + { + "epoch": 2.0697298092482717, + "grad_norm": 0.6238734664689921, + "learning_rate": 4.627996935259862e-06, + "loss": 0.6091, + "step": 1319 + }, + { + "epoch": 2.071298975138528, + "grad_norm": 0.5806528818105448, + "learning_rate": 4.6137046569062595e-06, + "loss": 0.6239, + "step": 1320 + }, + { + "epoch": 2.0728681410287844, + "grad_norm": 0.6226478025987044, + "learning_rate": 4.599427860976978e-06, + "loss": 0.6304, + "step": 1321 + }, + { + "epoch": 2.074437306919041, + "grad_norm": 0.6440113133813798, + "learning_rate": 4.585166588509391e-06, + "loss": 0.6233, + "step": 1322 + }, + { + "epoch": 2.0760064728092975, + "grad_norm": 0.6380787166210546, + "learning_rate": 4.570920880496247e-06, + "loss": 0.6083, + "step": 1323 + }, + { + "epoch": 2.0775756386995536, + "grad_norm": 0.6352201664360289, + "learning_rate": 4.556690777885571e-06, + "loss": 0.6094, + "step": 1324 + }, + { + "epoch": 2.07914480458981, + "grad_norm": 0.6340091351803824, + "learning_rate": 4.542476321580505e-06, + "loss": 0.612, + "step": 1325 + }, + { + "epoch": 2.080713970480067, + "grad_norm": 0.6379808320273905, + "learning_rate": 4.528277552439244e-06, + "loss": 0.6369, + "step": 1326 + }, + { + "epoch": 2.0822831363703234, + "grad_norm": 0.6182812260685615, + "learning_rate": 4.514094511274877e-06, + "loss": 0.6165, + "step": 1327 + }, + { + "epoch": 2.0838523022605795, + "grad_norm": 0.6373230561822038, + "learning_rate": 4.499927238855287e-06, + "loss": 0.6084, + "step": 1328 + }, + { + "epoch": 2.085421468150836, + "grad_norm": 0.6409460157675354, + "learning_rate": 4.485775775903033e-06, + "loss": 0.639, + "step": 1329 + }, + { + "epoch": 2.0869906340410926, + "grad_norm": 0.6282039128609315, + "learning_rate": 4.471640163095229e-06, + "loss": 0.6157, + "step": 1330 + }, + { + "epoch": 2.0885597999313488, + "grad_norm": 0.6137741793218672, + "learning_rate": 4.457520441063428e-06, + "loss": 0.6124, + "step": 1331 + }, + { + "epoch": 2.0901289658216053, + "grad_norm": 0.681372423604883, + "learning_rate": 4.443416650393509e-06, + "loss": 0.6013, + "step": 1332 + }, + { + "epoch": 2.091698131711862, + "grad_norm": 0.6590385412311799, + "learning_rate": 4.429328831625565e-06, + "loss": 0.6252, + "step": 1333 + }, + { + "epoch": 2.0932672976021185, + "grad_norm": 0.6197618086568621, + "learning_rate": 4.415257025253758e-06, + "loss": 0.6033, + "step": 1334 + }, + { + "epoch": 2.0948364634923746, + "grad_norm": 0.6156000017412134, + "learning_rate": 4.40120127172625e-06, + "loss": 0.5991, + "step": 1335 + }, + { + "epoch": 2.096405629382631, + "grad_norm": 0.664306039819029, + "learning_rate": 4.387161611445034e-06, + "loss": 0.6217, + "step": 1336 + }, + { + "epoch": 2.0979747952728878, + "grad_norm": 0.6611599761889236, + "learning_rate": 4.373138084765875e-06, + "loss": 0.618, + "step": 1337 + }, + { + "epoch": 2.0995439611631443, + "grad_norm": 0.6222404404322623, + "learning_rate": 4.359130731998127e-06, + "loss": 0.6288, + "step": 1338 + }, + { + "epoch": 2.1011131270534005, + "grad_norm": 0.6311429425363364, + "learning_rate": 4.345139593404688e-06, + "loss": 0.6184, + "step": 1339 + }, + { + "epoch": 2.102682292943657, + "grad_norm": 0.6445149714231355, + "learning_rate": 4.331164709201829e-06, + "loss": 0.6249, + "step": 1340 + }, + { + "epoch": 2.1042514588339136, + "grad_norm": 0.6173377175050655, + "learning_rate": 4.317206119559108e-06, + "loss": 0.6219, + "step": 1341 + }, + { + "epoch": 2.10582062472417, + "grad_norm": 0.6342165323182424, + "learning_rate": 4.303263864599239e-06, + "loss": 0.6175, + "step": 1342 + }, + { + "epoch": 2.1073897906144263, + "grad_norm": 0.6290617791208115, + "learning_rate": 4.289337984397988e-06, + "loss": 0.6151, + "step": 1343 + }, + { + "epoch": 2.108958956504683, + "grad_norm": 0.6403426983817079, + "learning_rate": 4.275428518984054e-06, + "loss": 0.6248, + "step": 1344 + }, + { + "epoch": 2.1105281223949395, + "grad_norm": 0.6560238644443025, + "learning_rate": 4.261535508338951e-06, + "loss": 0.5888, + "step": 1345 + }, + { + "epoch": 2.112097288285196, + "grad_norm": 0.6341580814633958, + "learning_rate": 4.2476589923968946e-06, + "loss": 0.6214, + "step": 1346 + }, + { + "epoch": 2.113666454175452, + "grad_norm": 0.6611016260475742, + "learning_rate": 4.233799011044687e-06, + "loss": 0.6371, + "step": 1347 + }, + { + "epoch": 2.1152356200657088, + "grad_norm": 0.6085285537758993, + "learning_rate": 4.219955604121611e-06, + "loss": 0.6333, + "step": 1348 + }, + { + "epoch": 2.1168047859559653, + "grad_norm": 0.6262253705752535, + "learning_rate": 4.206128811419299e-06, + "loss": 0.6215, + "step": 1349 + }, + { + "epoch": 2.118373951846222, + "grad_norm": 0.6286833131008006, + "learning_rate": 4.192318672681631e-06, + "loss": 0.6319, + "step": 1350 + }, + { + "epoch": 2.119943117736478, + "grad_norm": 0.6150093205982207, + "learning_rate": 4.178525227604615e-06, + "loss": 0.6107, + "step": 1351 + }, + { + "epoch": 2.1215122836267346, + "grad_norm": 0.5989661130072645, + "learning_rate": 4.164748515836276e-06, + "loss": 0.6257, + "step": 1352 + }, + { + "epoch": 2.123081449516991, + "grad_norm": 0.6149175273364935, + "learning_rate": 4.150988576976539e-06, + "loss": 0.6256, + "step": 1353 + }, + { + "epoch": 2.1246506154072478, + "grad_norm": 0.6534618762641019, + "learning_rate": 4.1372454505771186e-06, + "loss": 0.6286, + "step": 1354 + }, + { + "epoch": 2.126219781297504, + "grad_norm": 0.6149216597100641, + "learning_rate": 4.1235191761414025e-06, + "loss": 0.6326, + "step": 1355 + }, + { + "epoch": 2.1277889471877605, + "grad_norm": 0.6293541320131315, + "learning_rate": 4.10980979312434e-06, + "loss": 0.6046, + "step": 1356 + }, + { + "epoch": 2.129358113078017, + "grad_norm": 0.654792487329429, + "learning_rate": 4.096117340932322e-06, + "loss": 0.6081, + "step": 1357 + }, + { + "epoch": 2.1309272789682736, + "grad_norm": 0.6733007709475541, + "learning_rate": 4.082441858923088e-06, + "loss": 0.6375, + "step": 1358 + }, + { + "epoch": 2.1324964448585297, + "grad_norm": 0.6067073291253214, + "learning_rate": 4.068783386405577e-06, + "loss": 0.6242, + "step": 1359 + }, + { + "epoch": 2.1340656107487863, + "grad_norm": 0.6350207595746162, + "learning_rate": 4.055141962639858e-06, + "loss": 0.6089, + "step": 1360 + }, + { + "epoch": 2.135634776639043, + "grad_norm": 0.6503175818174727, + "learning_rate": 4.0415176268369714e-06, + "loss": 0.6093, + "step": 1361 + }, + { + "epoch": 2.1372039425292995, + "grad_norm": 0.6552626052070196, + "learning_rate": 4.027910418158861e-06, + "loss": 0.6177, + "step": 1362 + }, + { + "epoch": 2.1387731084195556, + "grad_norm": 0.607160411260159, + "learning_rate": 4.01432037571823e-06, + "loss": 0.594, + "step": 1363 + }, + { + "epoch": 2.140342274309812, + "grad_norm": 0.6141818558596257, + "learning_rate": 4.00074753857844e-06, + "loss": 0.6302, + "step": 1364 + }, + { + "epoch": 2.1419114402000687, + "grad_norm": 0.6539732506640329, + "learning_rate": 3.987191945753396e-06, + "loss": 0.6071, + "step": 1365 + }, + { + "epoch": 2.1434806060903253, + "grad_norm": 0.6262626578183587, + "learning_rate": 3.973653636207437e-06, + "loss": 0.6164, + "step": 1366 + }, + { + "epoch": 2.1450497719805814, + "grad_norm": 0.6445800626193894, + "learning_rate": 3.960132648855226e-06, + "loss": 0.6101, + "step": 1367 + }, + { + "epoch": 2.146618937870838, + "grad_norm": 0.6075052382718521, + "learning_rate": 3.946629022561627e-06, + "loss": 0.6229, + "step": 1368 + }, + { + "epoch": 2.1481881037610946, + "grad_norm": 0.6296286988783455, + "learning_rate": 3.933142796141616e-06, + "loss": 0.6257, + "step": 1369 + }, + { + "epoch": 2.149757269651351, + "grad_norm": 0.6530009437245898, + "learning_rate": 3.919674008360133e-06, + "loss": 0.6243, + "step": 1370 + }, + { + "epoch": 2.1513264355416073, + "grad_norm": 0.6348907597378193, + "learning_rate": 3.906222697932016e-06, + "loss": 0.6174, + "step": 1371 + }, + { + "epoch": 2.152895601431864, + "grad_norm": 0.6318441977343, + "learning_rate": 3.89278890352184e-06, + "loss": 0.6223, + "step": 1372 + }, + { + "epoch": 2.1544647673221204, + "grad_norm": 0.6489749457884836, + "learning_rate": 3.879372663743862e-06, + "loss": 0.5928, + "step": 1373 + }, + { + "epoch": 2.1560339332123766, + "grad_norm": 0.6382645515107063, + "learning_rate": 3.8659740171618485e-06, + "loss": 0.6193, + "step": 1374 + }, + { + "epoch": 2.157603099102633, + "grad_norm": 0.6608734648068885, + "learning_rate": 3.85259300228902e-06, + "loss": 0.6149, + "step": 1375 + }, + { + "epoch": 2.1591722649928897, + "grad_norm": 0.6211503702573417, + "learning_rate": 3.839229657587906e-06, + "loss": 0.6152, + "step": 1376 + }, + { + "epoch": 2.1607414308831463, + "grad_norm": 0.6476283598850665, + "learning_rate": 3.825884021470244e-06, + "loss": 0.6096, + "step": 1377 + }, + { + "epoch": 2.162310596773403, + "grad_norm": 0.626403655602433, + "learning_rate": 3.812556132296873e-06, + "loss": 0.615, + "step": 1378 + }, + { + "epoch": 2.163879762663659, + "grad_norm": 0.6153082963429655, + "learning_rate": 3.799246028377618e-06, + "loss": 0.6154, + "step": 1379 + }, + { + "epoch": 2.1654489285539156, + "grad_norm": 0.6038055156462527, + "learning_rate": 3.785953747971183e-06, + "loss": 0.6146, + "step": 1380 + }, + { + "epoch": 2.167018094444172, + "grad_norm": 0.6580520250662772, + "learning_rate": 3.7726793292850382e-06, + "loss": 0.6098, + "step": 1381 + }, + { + "epoch": 2.1685872603344283, + "grad_norm": 0.6288998309682243, + "learning_rate": 3.7594228104753107e-06, + "loss": 0.5862, + "step": 1382 + }, + { + "epoch": 2.170156426224685, + "grad_norm": 0.6313827812211942, + "learning_rate": 3.746184229646689e-06, + "loss": 0.6177, + "step": 1383 + }, + { + "epoch": 2.1717255921149414, + "grad_norm": 0.6599611497599748, + "learning_rate": 3.732963624852275e-06, + "loss": 0.608, + "step": 1384 + }, + { + "epoch": 2.173294758005198, + "grad_norm": 0.6498663474744056, + "learning_rate": 3.7197610340935263e-06, + "loss": 0.6186, + "step": 1385 + }, + { + "epoch": 2.174863923895454, + "grad_norm": 0.6838926563034045, + "learning_rate": 3.7065764953201066e-06, + "loss": 0.6212, + "step": 1386 + }, + { + "epoch": 2.1764330897857107, + "grad_norm": 0.6344757183599451, + "learning_rate": 3.693410046429793e-06, + "loss": 0.6334, + "step": 1387 + }, + { + "epoch": 2.1780022556759673, + "grad_norm": 0.6261863487618142, + "learning_rate": 3.680261725268364e-06, + "loss": 0.6151, + "step": 1388 + }, + { + "epoch": 2.179571421566224, + "grad_norm": 0.6547877002885869, + "learning_rate": 3.667131569629495e-06, + "loss": 0.6157, + "step": 1389 + }, + { + "epoch": 2.18114058745648, + "grad_norm": 0.6262514821781034, + "learning_rate": 3.654019617254644e-06, + "loss": 0.6096, + "step": 1390 + }, + { + "epoch": 2.1827097533467366, + "grad_norm": 0.6087299134232946, + "learning_rate": 3.6409259058329404e-06, + "loss": 0.6301, + "step": 1391 + }, + { + "epoch": 2.184278919236993, + "grad_norm": 0.6345458747487406, + "learning_rate": 3.6278504730011e-06, + "loss": 0.6284, + "step": 1392 + }, + { + "epoch": 2.1858480851272497, + "grad_norm": 0.6048122479797837, + "learning_rate": 3.614793356343269e-06, + "loss": 0.6218, + "step": 1393 + }, + { + "epoch": 2.187417251017506, + "grad_norm": 0.6125538089626119, + "learning_rate": 3.601754593390978e-06, + "loss": 0.61, + "step": 1394 + }, + { + "epoch": 2.1889864169077624, + "grad_norm": 0.7803536148969056, + "learning_rate": 3.5887342216229694e-06, + "loss": 0.6115, + "step": 1395 + }, + { + "epoch": 2.190555582798019, + "grad_norm": 0.6226438132889969, + "learning_rate": 3.5757322784651506e-06, + "loss": 0.6065, + "step": 1396 + }, + { + "epoch": 2.1921247486882756, + "grad_norm": 0.6216705847894933, + "learning_rate": 3.5627488012904333e-06, + "loss": 0.6003, + "step": 1397 + }, + { + "epoch": 2.1936939145785317, + "grad_norm": 0.6046800762296665, + "learning_rate": 3.5497838274186737e-06, + "loss": 0.6025, + "step": 1398 + }, + { + "epoch": 2.1952630804687883, + "grad_norm": 0.6362031206869132, + "learning_rate": 3.5368373941165167e-06, + "loss": 0.6301, + "step": 1399 + }, + { + "epoch": 2.196832246359045, + "grad_norm": 0.668758539321539, + "learning_rate": 3.5239095385973377e-06, + "loss": 0.6134, + "step": 1400 + }, + { + "epoch": 2.1984014122493014, + "grad_norm": 0.6403967472883619, + "learning_rate": 3.511000298021098e-06, + "loss": 0.6143, + "step": 1401 + }, + { + "epoch": 2.1999705781395575, + "grad_norm": 0.5970553908619288, + "learning_rate": 3.498109709494254e-06, + "loss": 0.607, + "step": 1402 + }, + { + "epoch": 2.201539744029814, + "grad_norm": 0.6227702242395404, + "learning_rate": 3.4852378100696505e-06, + "loss": 0.628, + "step": 1403 + }, + { + "epoch": 2.2031089099200707, + "grad_norm": 0.6338408588806297, + "learning_rate": 3.472384636746412e-06, + "loss": 0.6198, + "step": 1404 + }, + { + "epoch": 2.2046780758103273, + "grad_norm": 0.6376720106825551, + "learning_rate": 3.4595502264698356e-06, + "loss": 0.6078, + "step": 1405 + }, + { + "epoch": 2.2062472417005834, + "grad_norm": 0.6306285832000212, + "learning_rate": 3.446734616131282e-06, + "loss": 0.625, + "step": 1406 + }, + { + "epoch": 2.20781640759084, + "grad_norm": 0.6226892428730488, + "learning_rate": 3.433937842568088e-06, + "loss": 0.622, + "step": 1407 + }, + { + "epoch": 2.2093855734810965, + "grad_norm": 0.6207352149813079, + "learning_rate": 3.421159942563421e-06, + "loss": 0.6128, + "step": 1408 + }, + { + "epoch": 2.210954739371353, + "grad_norm": 0.6222677005956953, + "learning_rate": 3.4084009528462227e-06, + "loss": 0.6137, + "step": 1409 + }, + { + "epoch": 2.2125239052616092, + "grad_norm": 0.6186315547078428, + "learning_rate": 3.3956609100910643e-06, + "loss": 0.6094, + "step": 1410 + }, + { + "epoch": 2.214093071151866, + "grad_norm": 0.6329189874983667, + "learning_rate": 3.382939850918059e-06, + "loss": 0.6222, + "step": 1411 + }, + { + "epoch": 2.2156622370421224, + "grad_norm": 0.6344490203147958, + "learning_rate": 3.3702378118927537e-06, + "loss": 0.6111, + "step": 1412 + }, + { + "epoch": 2.217231402932379, + "grad_norm": 0.6537806725501569, + "learning_rate": 3.357554829526025e-06, + "loss": 0.6263, + "step": 1413 + }, + { + "epoch": 2.218800568822635, + "grad_norm": 0.6101179396070554, + "learning_rate": 3.3448909402739716e-06, + "loss": 0.6087, + "step": 1414 + }, + { + "epoch": 2.2203697347128917, + "grad_norm": 0.6150161152521031, + "learning_rate": 3.3322461805378094e-06, + "loss": 0.6204, + "step": 1415 + }, + { + "epoch": 2.2219389006031482, + "grad_norm": 0.6425715998201768, + "learning_rate": 3.3196205866637667e-06, + "loss": 0.6307, + "step": 1416 + }, + { + "epoch": 2.2235080664934044, + "grad_norm": 0.634070363391312, + "learning_rate": 3.3070141949429945e-06, + "loss": 0.6048, + "step": 1417 + }, + { + "epoch": 2.225077232383661, + "grad_norm": 0.6165257938318652, + "learning_rate": 3.2944270416114256e-06, + "loss": 0.6407, + "step": 1418 + }, + { + "epoch": 2.2266463982739175, + "grad_norm": 0.6323362993027953, + "learning_rate": 3.28185916284972e-06, + "loss": 0.6185, + "step": 1419 + }, + { + "epoch": 2.228215564164174, + "grad_norm": 0.6564535829246948, + "learning_rate": 3.269310594783106e-06, + "loss": 0.6008, + "step": 1420 + }, + { + "epoch": 2.2297847300544307, + "grad_norm": 0.5872342949393278, + "learning_rate": 3.2567813734813336e-06, + "loss": 0.6105, + "step": 1421 + }, + { + "epoch": 2.231353895944687, + "grad_norm": 0.6310778473204862, + "learning_rate": 3.244271534958523e-06, + "loss": 0.6205, + "step": 1422 + }, + { + "epoch": 2.2329230618349434, + "grad_norm": 0.6600569488406903, + "learning_rate": 3.231781115173088e-06, + "loss": 0.6053, + "step": 1423 + }, + { + "epoch": 2.2344922277252, + "grad_norm": 0.6288294461832861, + "learning_rate": 3.2193101500276226e-06, + "loss": 0.6173, + "step": 1424 + }, + { + "epoch": 2.236061393615456, + "grad_norm": 0.6590897159665384, + "learning_rate": 3.2068586753688014e-06, + "loss": 0.6276, + "step": 1425 + }, + { + "epoch": 2.2376305595057127, + "grad_norm": 0.6163557437757586, + "learning_rate": 3.1944267269872754e-06, + "loss": 0.6128, + "step": 1426 + }, + { + "epoch": 2.2391997253959692, + "grad_norm": 0.6144722120020086, + "learning_rate": 3.1820143406175642e-06, + "loss": 0.5974, + "step": 1427 + }, + { + "epoch": 2.240768891286226, + "grad_norm": 0.6199432490099716, + "learning_rate": 3.1696215519379726e-06, + "loss": 0.6155, + "step": 1428 + }, + { + "epoch": 2.242338057176482, + "grad_norm": 0.6419359527546662, + "learning_rate": 3.1572483965704503e-06, + "loss": 0.6304, + "step": 1429 + }, + { + "epoch": 2.2439072230667385, + "grad_norm": 0.6285531009181134, + "learning_rate": 3.1448949100805394e-06, + "loss": 0.6251, + "step": 1430 + }, + { + "epoch": 2.245476388956995, + "grad_norm": 0.6596871033902281, + "learning_rate": 3.1325611279772194e-06, + "loss": 0.6183, + "step": 1431 + }, + { + "epoch": 2.2470455548472517, + "grad_norm": 0.617400824424676, + "learning_rate": 3.1202470857128564e-06, + "loss": 0.6201, + "step": 1432 + }, + { + "epoch": 2.248614720737508, + "grad_norm": 0.6000444558853422, + "learning_rate": 3.107952818683052e-06, + "loss": 0.6211, + "step": 1433 + }, + { + "epoch": 2.2501838866277644, + "grad_norm": 0.6151810101126691, + "learning_rate": 3.095678362226585e-06, + "loss": 0.6163, + "step": 1434 + }, + { + "epoch": 2.251753052518021, + "grad_norm": 0.5995386290624433, + "learning_rate": 3.0834237516252817e-06, + "loss": 0.6149, + "step": 1435 + }, + { + "epoch": 2.2533222184082775, + "grad_norm": 0.6386655256355857, + "learning_rate": 3.071189022103923e-06, + "loss": 0.6298, + "step": 1436 + }, + { + "epoch": 2.2548913842985336, + "grad_norm": 0.6376300732459658, + "learning_rate": 3.058974208830147e-06, + "loss": 0.6257, + "step": 1437 + }, + { + "epoch": 2.25646055018879, + "grad_norm": 0.6798538813287663, + "learning_rate": 3.046779346914339e-06, + "loss": 0.6193, + "step": 1438 + }, + { + "epoch": 2.258029716079047, + "grad_norm": 0.6397045527151177, + "learning_rate": 3.0346044714095425e-06, + "loss": 0.6144, + "step": 1439 + }, + { + "epoch": 2.2595988819693034, + "grad_norm": 0.6266078173704976, + "learning_rate": 3.022449617311346e-06, + "loss": 0.6109, + "step": 1440 + }, + { + "epoch": 2.2611680478595595, + "grad_norm": 0.6278434253419796, + "learning_rate": 3.0103148195577914e-06, + "loss": 0.6369, + "step": 1441 + }, + { + "epoch": 2.262737213749816, + "grad_norm": 0.6194184838780724, + "learning_rate": 2.9982001130292703e-06, + "loss": 0.5819, + "step": 1442 + }, + { + "epoch": 2.2643063796400726, + "grad_norm": 0.6445298685317932, + "learning_rate": 2.98610553254842e-06, + "loss": 0.6071, + "step": 1443 + }, + { + "epoch": 2.265875545530329, + "grad_norm": 0.6622508987875027, + "learning_rate": 2.974031112880037e-06, + "loss": 0.62, + "step": 1444 + }, + { + "epoch": 2.2674447114205853, + "grad_norm": 0.6260982640737418, + "learning_rate": 2.961976888730956e-06, + "loss": 0.6063, + "step": 1445 + }, + { + "epoch": 2.269013877310842, + "grad_norm": 0.6213660116532819, + "learning_rate": 2.9499428947499696e-06, + "loss": 0.6168, + "step": 1446 + }, + { + "epoch": 2.2705830432010985, + "grad_norm": 0.6327257030732624, + "learning_rate": 2.9379291655277143e-06, + "loss": 0.6187, + "step": 1447 + }, + { + "epoch": 2.272152209091355, + "grad_norm": 0.6676047779512317, + "learning_rate": 2.925935735596582e-06, + "loss": 0.6096, + "step": 1448 + }, + { + "epoch": 2.273721374981611, + "grad_norm": 0.6710377516211432, + "learning_rate": 2.913962639430615e-06, + "loss": 0.6099, + "step": 1449 + }, + { + "epoch": 2.2752905408718678, + "grad_norm": 0.6312375938585953, + "learning_rate": 2.9020099114454046e-06, + "loss": 0.6217, + "step": 1450 + }, + { + "epoch": 2.2768597067621243, + "grad_norm": 0.6110392396180195, + "learning_rate": 2.890077585998007e-06, + "loss": 0.6056, + "step": 1451 + }, + { + "epoch": 2.2784288726523805, + "grad_norm": 0.6366367213227224, + "learning_rate": 2.878165697386812e-06, + "loss": 0.6295, + "step": 1452 + }, + { + "epoch": 2.279998038542637, + "grad_norm": 0.6102884849262568, + "learning_rate": 2.866274279851491e-06, + "loss": 0.6251, + "step": 1453 + }, + { + "epoch": 2.2815672044328936, + "grad_norm": 0.6522005329996032, + "learning_rate": 2.854403367572849e-06, + "loss": 0.6246, + "step": 1454 + }, + { + "epoch": 2.28313637032315, + "grad_norm": 0.6070571619116706, + "learning_rate": 2.8425529946727725e-06, + "loss": 0.6126, + "step": 1455 + }, + { + "epoch": 2.2847055362134068, + "grad_norm": 0.6341043240762326, + "learning_rate": 2.830723195214088e-06, + "loss": 0.6076, + "step": 1456 + }, + { + "epoch": 2.286274702103663, + "grad_norm": 0.6321485028521564, + "learning_rate": 2.818914003200508e-06, + "loss": 0.6263, + "step": 1457 + }, + { + "epoch": 2.2878438679939195, + "grad_norm": 0.6511982109621314, + "learning_rate": 2.807125452576487e-06, + "loss": 0.6134, + "step": 1458 + }, + { + "epoch": 2.289413033884176, + "grad_norm": 0.657722824823969, + "learning_rate": 2.7953575772271667e-06, + "loss": 0.6205, + "step": 1459 + }, + { + "epoch": 2.290982199774432, + "grad_norm": 0.6407152335124848, + "learning_rate": 2.7836104109782525e-06, + "loss": 0.6261, + "step": 1460 + }, + { + "epoch": 2.2925513656646888, + "grad_norm": 0.6464924200998755, + "learning_rate": 2.7718839875959213e-06, + "loss": 0.617, + "step": 1461 + }, + { + "epoch": 2.2941205315549453, + "grad_norm": 0.6363617759835972, + "learning_rate": 2.760178340786729e-06, + "loss": 0.6141, + "step": 1462 + }, + { + "epoch": 2.295689697445202, + "grad_norm": 0.6382021366682696, + "learning_rate": 2.7484935041975113e-06, + "loss": 0.6366, + "step": 1463 + }, + { + "epoch": 2.2972588633354585, + "grad_norm": 0.6264419892564671, + "learning_rate": 2.7368295114152852e-06, + "loss": 0.614, + "step": 1464 + }, + { + "epoch": 2.2988280292257146, + "grad_norm": 0.6195880762505518, + "learning_rate": 2.7251863959671533e-06, + "loss": 0.6219, + "step": 1465 + }, + { + "epoch": 2.300397195115971, + "grad_norm": 0.6337207342705035, + "learning_rate": 2.713564191320217e-06, + "loss": 0.6257, + "step": 1466 + }, + { + "epoch": 2.3019663610062278, + "grad_norm": 0.6401883764413624, + "learning_rate": 2.7019629308814544e-06, + "loss": 0.607, + "step": 1467 + }, + { + "epoch": 2.303535526896484, + "grad_norm": 0.6455545084912034, + "learning_rate": 2.6903826479976582e-06, + "loss": 0.6203, + "step": 1468 + }, + { + "epoch": 2.3051046927867405, + "grad_norm": 0.6319529124339137, + "learning_rate": 2.678823375955314e-06, + "loss": 0.605, + "step": 1469 + }, + { + "epoch": 2.306673858676997, + "grad_norm": 0.6734464564763516, + "learning_rate": 2.667285147980515e-06, + "loss": 0.6004, + "step": 1470 + }, + { + "epoch": 2.3082430245672536, + "grad_norm": 0.6457108215880251, + "learning_rate": 2.6557679972388674e-06, + "loss": 0.6407, + "step": 1471 + }, + { + "epoch": 2.3098121904575097, + "grad_norm": 0.623145989695181, + "learning_rate": 2.6442719568353894e-06, + "loss": 0.581, + "step": 1472 + }, + { + "epoch": 2.3113813563477663, + "grad_norm": 0.6249008620059275, + "learning_rate": 2.6327970598144214e-06, + "loss": 0.6084, + "step": 1473 + }, + { + "epoch": 2.312950522238023, + "grad_norm": 0.6205727447146092, + "learning_rate": 2.62134333915953e-06, + "loss": 0.6089, + "step": 1474 + }, + { + "epoch": 2.3145196881282795, + "grad_norm": 0.6215601762263706, + "learning_rate": 2.6099108277934105e-06, + "loss": 0.6235, + "step": 1475 + }, + { + "epoch": 2.3160888540185356, + "grad_norm": 0.6623986841030728, + "learning_rate": 2.598499558577794e-06, + "loss": 0.6189, + "step": 1476 + }, + { + "epoch": 2.317658019908792, + "grad_norm": 0.6598567447429622, + "learning_rate": 2.5871095643133502e-06, + "loss": 0.6142, + "step": 1477 + }, + { + "epoch": 2.3192271857990487, + "grad_norm": 0.626942727703376, + "learning_rate": 2.57574087773961e-06, + "loss": 0.6071, + "step": 1478 + }, + { + "epoch": 2.3207963516893053, + "grad_norm": 0.6621000130405794, + "learning_rate": 2.564393531534832e-06, + "loss": 0.6068, + "step": 1479 + }, + { + "epoch": 2.3223655175795614, + "grad_norm": 0.6578535480770981, + "learning_rate": 2.553067558315958e-06, + "loss": 0.6232, + "step": 1480 + }, + { + "epoch": 2.323934683469818, + "grad_norm": 0.6148389298447706, + "learning_rate": 2.5417629906384834e-06, + "loss": 0.603, + "step": 1481 + }, + { + "epoch": 2.3255038493600746, + "grad_norm": 0.6147817570612852, + "learning_rate": 2.5304798609963754e-06, + "loss": 0.6059, + "step": 1482 + }, + { + "epoch": 2.327073015250331, + "grad_norm": 0.6312216443998306, + "learning_rate": 2.5192182018219826e-06, + "loss": 0.6372, + "step": 1483 + }, + { + "epoch": 2.3286421811405873, + "grad_norm": 0.6433123033871498, + "learning_rate": 2.507978045485937e-06, + "loss": 0.6077, + "step": 1484 + }, + { + "epoch": 2.330211347030844, + "grad_norm": 0.5893717212409233, + "learning_rate": 2.496759424297062e-06, + "loss": 0.6144, + "step": 1485 + }, + { + "epoch": 2.3317805129211004, + "grad_norm": 0.6137350126249266, + "learning_rate": 2.485562370502279e-06, + "loss": 0.5823, + "step": 1486 + }, + { + "epoch": 2.333349678811357, + "grad_norm": 0.6341703219917879, + "learning_rate": 2.474386916286526e-06, + "loss": 0.6267, + "step": 1487 + }, + { + "epoch": 2.334918844701613, + "grad_norm": 0.6589104086276759, + "learning_rate": 2.4632330937726356e-06, + "loss": 0.6099, + "step": 1488 + }, + { + "epoch": 2.3364880105918697, + "grad_norm": 0.6442357630846699, + "learning_rate": 2.4521009350212854e-06, + "loss": 0.6229, + "step": 1489 + }, + { + "epoch": 2.3380571764821263, + "grad_norm": 0.6673942610035479, + "learning_rate": 2.4409904720308576e-06, + "loss": 0.5899, + "step": 1490 + }, + { + "epoch": 2.339626342372383, + "grad_norm": 0.6595420768429126, + "learning_rate": 2.4299017367373966e-06, + "loss": 0.5922, + "step": 1491 + }, + { + "epoch": 2.341195508262639, + "grad_norm": 0.6723612633056628, + "learning_rate": 2.4188347610144693e-06, + "loss": 0.6243, + "step": 1492 + }, + { + "epoch": 2.3427646741528956, + "grad_norm": 0.6011007231850244, + "learning_rate": 2.407789576673115e-06, + "loss": 0.6138, + "step": 1493 + }, + { + "epoch": 2.344333840043152, + "grad_norm": 0.6115044818220867, + "learning_rate": 2.396766215461728e-06, + "loss": 0.5967, + "step": 1494 + }, + { + "epoch": 2.3459030059334083, + "grad_norm": 0.6219391681432415, + "learning_rate": 2.385764709065973e-06, + "loss": 0.6129, + "step": 1495 + }, + { + "epoch": 2.347472171823665, + "grad_norm": 0.6175259072542536, + "learning_rate": 2.3747850891086956e-06, + "loss": 0.6045, + "step": 1496 + }, + { + "epoch": 2.3490413377139214, + "grad_norm": 0.6343486512456172, + "learning_rate": 2.363827387149833e-06, + "loss": 0.602, + "step": 1497 + }, + { + "epoch": 2.350610503604178, + "grad_norm": 0.6182504030823537, + "learning_rate": 2.3528916346863185e-06, + "loss": 0.6085, + "step": 1498 + }, + { + "epoch": 2.3521796694944346, + "grad_norm": 0.6289914071248726, + "learning_rate": 2.3419778631519963e-06, + "loss": 0.6081, + "step": 1499 + }, + { + "epoch": 2.3537488353846907, + "grad_norm": 0.6437968229643949, + "learning_rate": 2.331086103917525e-06, + "loss": 0.6258, + "step": 1500 + }, + { + "epoch": 2.3553180012749473, + "grad_norm": 0.6143000348105965, + "learning_rate": 2.320216388290293e-06, + "loss": 0.6119, + "step": 1501 + }, + { + "epoch": 2.356887167165204, + "grad_norm": 0.6430232985289135, + "learning_rate": 2.3093687475143236e-06, + "loss": 0.611, + "step": 1502 + }, + { + "epoch": 2.35845633305546, + "grad_norm": 0.6525804169675627, + "learning_rate": 2.2985432127701945e-06, + "loss": 0.5954, + "step": 1503 + }, + { + "epoch": 2.3600254989457166, + "grad_norm": 0.6405938021716366, + "learning_rate": 2.2877398151749375e-06, + "loss": 0.6083, + "step": 1504 + }, + { + "epoch": 2.361594664835973, + "grad_norm": 0.6301358688309666, + "learning_rate": 2.27695858578195e-06, + "loss": 0.6195, + "step": 1505 + }, + { + "epoch": 2.3631638307262297, + "grad_norm": 0.6376332562953813, + "learning_rate": 2.2661995555809123e-06, + "loss": 0.607, + "step": 1506 + }, + { + "epoch": 2.3647329966164863, + "grad_norm": 0.6528772246271954, + "learning_rate": 2.255462755497696e-06, + "loss": 0.6117, + "step": 1507 + }, + { + "epoch": 2.3663021625067424, + "grad_norm": 0.6405262043615331, + "learning_rate": 2.2447482163942725e-06, + "loss": 0.6098, + "step": 1508 + }, + { + "epoch": 2.367871328396999, + "grad_norm": 0.6157495247738175, + "learning_rate": 2.2340559690686247e-06, + "loss": 0.606, + "step": 1509 + }, + { + "epoch": 2.3694404942872556, + "grad_norm": 0.6173747553819633, + "learning_rate": 2.223386044254663e-06, + "loss": 0.6191, + "step": 1510 + }, + { + "epoch": 2.3710096601775117, + "grad_norm": 0.6495632557522085, + "learning_rate": 2.2127384726221303e-06, + "loss": 0.6174, + "step": 1511 + }, + { + "epoch": 2.3725788260677683, + "grad_norm": 0.63804910516746, + "learning_rate": 2.2021132847765246e-06, + "loss": 0.615, + "step": 1512 + }, + { + "epoch": 2.374147991958025, + "grad_norm": 0.6007113635502407, + "learning_rate": 2.1915105112589894e-06, + "loss": 0.6063, + "step": 1513 + }, + { + "epoch": 2.3757171578482814, + "grad_norm": 0.6256421483133896, + "learning_rate": 2.1809301825462593e-06, + "loss": 0.6112, + "step": 1514 + }, + { + "epoch": 2.3772863237385375, + "grad_norm": 0.6338794634542337, + "learning_rate": 2.170372329050533e-06, + "loss": 0.6238, + "step": 1515 + }, + { + "epoch": 2.378855489628794, + "grad_norm": 0.6262070628639611, + "learning_rate": 2.159836981119425e-06, + "loss": 0.6003, + "step": 1516 + }, + { + "epoch": 2.3804246555190507, + "grad_norm": 0.628382539066662, + "learning_rate": 2.1493241690358437e-06, + "loss": 0.6239, + "step": 1517 + }, + { + "epoch": 2.3819938214093073, + "grad_norm": 0.6441384619280617, + "learning_rate": 2.138833923017931e-06, + "loss": 0.6336, + "step": 1518 + }, + { + "epoch": 2.3835629872995634, + "grad_norm": 0.6203007050445565, + "learning_rate": 2.1283662732189624e-06, + "loss": 0.6076, + "step": 1519 + }, + { + "epoch": 2.38513215318982, + "grad_norm": 0.6373622299258588, + "learning_rate": 2.1179212497272582e-06, + "loss": 0.6162, + "step": 1520 + }, + { + "epoch": 2.3867013190800765, + "grad_norm": 0.6473460496058665, + "learning_rate": 2.107498882566107e-06, + "loss": 0.6309, + "step": 1521 + }, + { + "epoch": 2.388270484970333, + "grad_norm": 0.6281388779099333, + "learning_rate": 2.0970992016936685e-06, + "loss": 0.6105, + "step": 1522 + }, + { + "epoch": 2.3898396508605892, + "grad_norm": 0.612528178413823, + "learning_rate": 2.0867222370028985e-06, + "loss": 0.6147, + "step": 1523 + }, + { + "epoch": 2.391408816750846, + "grad_norm": 0.6393001306756122, + "learning_rate": 2.0763680183214485e-06, + "loss": 0.6055, + "step": 1524 + }, + { + "epoch": 2.3929779826411024, + "grad_norm": 0.6355165574692425, + "learning_rate": 2.0660365754116042e-06, + "loss": 0.5971, + "step": 1525 + }, + { + "epoch": 2.394547148531359, + "grad_norm": 0.6508164857285735, + "learning_rate": 2.0557279379701632e-06, + "loss": 0.6096, + "step": 1526 + }, + { + "epoch": 2.396116314421615, + "grad_norm": 0.6195889265363922, + "learning_rate": 2.045442135628389e-06, + "loss": 0.6171, + "step": 1527 + }, + { + "epoch": 2.3976854803118717, + "grad_norm": 0.625707846687031, + "learning_rate": 2.0351791979518997e-06, + "loss": 0.602, + "step": 1528 + }, + { + "epoch": 2.3992546462021282, + "grad_norm": 0.6405651850003998, + "learning_rate": 2.0249391544405916e-06, + "loss": 0.5988, + "step": 1529 + }, + { + "epoch": 2.400823812092385, + "grad_norm": 0.638746243332164, + "learning_rate": 2.0147220345285524e-06, + "loss": 0.5967, + "step": 1530 + }, + { + "epoch": 2.402392977982641, + "grad_norm": 0.6270345942193685, + "learning_rate": 2.004527867583982e-06, + "loss": 0.6134, + "step": 1531 + }, + { + "epoch": 2.4039621438728975, + "grad_norm": 0.6451295459806061, + "learning_rate": 1.9943566829091e-06, + "loss": 0.6204, + "step": 1532 + }, + { + "epoch": 2.405531309763154, + "grad_norm": 0.6805599696936404, + "learning_rate": 1.9842085097400678e-06, + "loss": 0.6469, + "step": 1533 + }, + { + "epoch": 2.4071004756534107, + "grad_norm": 0.6287805201611575, + "learning_rate": 1.9740833772469025e-06, + "loss": 0.6068, + "step": 1534 + }, + { + "epoch": 2.408669641543667, + "grad_norm": 0.6099299399274067, + "learning_rate": 1.963981314533391e-06, + "loss": 0.6125, + "step": 1535 + }, + { + "epoch": 2.4102388074339234, + "grad_norm": 0.6363862048066421, + "learning_rate": 1.953902350637006e-06, + "loss": 0.6009, + "step": 1536 + }, + { + "epoch": 2.41180797332418, + "grad_norm": 0.6500867083635392, + "learning_rate": 1.9438465145288377e-06, + "loss": 0.6297, + "step": 1537 + }, + { + "epoch": 2.413377139214436, + "grad_norm": 0.6247533149417938, + "learning_rate": 1.9338138351134773e-06, + "loss": 0.6208, + "step": 1538 + }, + { + "epoch": 2.4149463051046927, + "grad_norm": 0.6077696409784458, + "learning_rate": 1.9238043412289696e-06, + "loss": 0.6064, + "step": 1539 + }, + { + "epoch": 2.4165154709949492, + "grad_norm": 0.6421658176199089, + "learning_rate": 1.9138180616467105e-06, + "loss": 0.6197, + "step": 1540 + }, + { + "epoch": 2.418084636885206, + "grad_norm": 0.6416440586342028, + "learning_rate": 1.903855025071366e-06, + "loss": 0.6129, + "step": 1541 + }, + { + "epoch": 2.4196538027754624, + "grad_norm": 0.6533822232027569, + "learning_rate": 1.8939152601407952e-06, + "loss": 0.6291, + "step": 1542 + }, + { + "epoch": 2.4212229686657185, + "grad_norm": 0.6246858478025527, + "learning_rate": 1.8839987954259609e-06, + "loss": 0.6021, + "step": 1543 + }, + { + "epoch": 2.422792134555975, + "grad_norm": 0.6070615898532166, + "learning_rate": 1.8741056594308571e-06, + "loss": 0.6086, + "step": 1544 + }, + { + "epoch": 2.4243613004462317, + "grad_norm": 0.6822191373430361, + "learning_rate": 1.8642358805924144e-06, + "loss": 0.6253, + "step": 1545 + }, + { + "epoch": 2.425930466336488, + "grad_norm": 0.6150816960462416, + "learning_rate": 1.8543894872804368e-06, + "loss": 0.615, + "step": 1546 + }, + { + "epoch": 2.4274996322267444, + "grad_norm": 0.6116811488446279, + "learning_rate": 1.8445665077974928e-06, + "loss": 0.5908, + "step": 1547 + }, + { + "epoch": 2.429068798117001, + "grad_norm": 0.6111796080758666, + "learning_rate": 1.8347669703788683e-06, + "loss": 0.5947, + "step": 1548 + }, + { + "epoch": 2.4306379640072575, + "grad_norm": 0.6391360438485262, + "learning_rate": 1.824990903192445e-06, + "loss": 0.6142, + "step": 1549 + }, + { + "epoch": 2.432207129897514, + "grad_norm": 0.6370102971888556, + "learning_rate": 1.815238334338667e-06, + "loss": 0.616, + "step": 1550 + }, + { + "epoch": 2.43377629578777, + "grad_norm": 0.6249494383931662, + "learning_rate": 1.8055092918504103e-06, + "loss": 0.6042, + "step": 1551 + }, + { + "epoch": 2.435345461678027, + "grad_norm": 0.6354472986625086, + "learning_rate": 1.795803803692947e-06, + "loss": 0.582, + "step": 1552 + }, + { + "epoch": 2.4369146275682834, + "grad_norm": 0.6164983696970364, + "learning_rate": 1.7861218977638252e-06, + "loss": 0.6157, + "step": 1553 + }, + { + "epoch": 2.4384837934585395, + "grad_norm": 0.5999431542191072, + "learning_rate": 1.7764636018928249e-06, + "loss": 0.5996, + "step": 1554 + }, + { + "epoch": 2.440052959348796, + "grad_norm": 0.5997694077107606, + "learning_rate": 1.766828943841853e-06, + "loss": 0.6242, + "step": 1555 + }, + { + "epoch": 2.4416221252390526, + "grad_norm": 0.6275576192505237, + "learning_rate": 1.7572179513048703e-06, + "loss": 0.6017, + "step": 1556 + }, + { + "epoch": 2.443191291129309, + "grad_norm": 0.6269667230125978, + "learning_rate": 1.7476306519078168e-06, + "loss": 0.6242, + "step": 1557 + }, + { + "epoch": 2.4447604570195653, + "grad_norm": 0.6351257941001033, + "learning_rate": 1.738067073208527e-06, + "loss": 0.6127, + "step": 1558 + }, + { + "epoch": 2.446329622909822, + "grad_norm": 0.6254297485677375, + "learning_rate": 1.7285272426966526e-06, + "loss": 0.6381, + "step": 1559 + }, + { + "epoch": 2.4478987888000785, + "grad_norm": 0.6326320202845116, + "learning_rate": 1.7190111877935833e-06, + "loss": 0.6016, + "step": 1560 + }, + { + "epoch": 2.449467954690335, + "grad_norm": 0.6314581644694905, + "learning_rate": 1.7095189358523668e-06, + "loss": 0.6079, + "step": 1561 + }, + { + "epoch": 2.451037120580591, + "grad_norm": 0.6466999920670993, + "learning_rate": 1.700050514157635e-06, + "loss": 0.597, + "step": 1562 + }, + { + "epoch": 2.4526062864708478, + "grad_norm": 0.622701857312493, + "learning_rate": 1.690605949925519e-06, + "loss": 0.618, + "step": 1563 + }, + { + "epoch": 2.4541754523611043, + "grad_norm": 0.6647600633659189, + "learning_rate": 1.6811852703035737e-06, + "loss": 0.6397, + "step": 1564 + }, + { + "epoch": 2.455744618251361, + "grad_norm": 0.6322663886358674, + "learning_rate": 1.6717885023707004e-06, + "loss": 0.5989, + "step": 1565 + }, + { + "epoch": 2.457313784141617, + "grad_norm": 0.6387131085067256, + "learning_rate": 1.6624156731370666e-06, + "loss": 0.6211, + "step": 1566 + }, + { + "epoch": 2.4588829500318736, + "grad_norm": 0.6385964583943042, + "learning_rate": 1.6530668095440339e-06, + "loss": 0.6034, + "step": 1567 + }, + { + "epoch": 2.46045211592213, + "grad_norm": 0.6262228713544584, + "learning_rate": 1.643741938464073e-06, + "loss": 0.6188, + "step": 1568 + }, + { + "epoch": 2.4620212818123868, + "grad_norm": 0.6363780515861948, + "learning_rate": 1.6344410867006944e-06, + "loss": 0.5898, + "step": 1569 + }, + { + "epoch": 2.463590447702643, + "grad_norm": 0.6426953500638161, + "learning_rate": 1.6251642809883595e-06, + "loss": 0.6057, + "step": 1570 + }, + { + "epoch": 2.4651596135928995, + "grad_norm": 0.631158519559688, + "learning_rate": 1.6159115479924259e-06, + "loss": 0.6173, + "step": 1571 + }, + { + "epoch": 2.466728779483156, + "grad_norm": 0.5963181133175319, + "learning_rate": 1.606682914309038e-06, + "loss": 0.5858, + "step": 1572 + }, + { + "epoch": 2.4682979453734126, + "grad_norm": 0.6505244760665863, + "learning_rate": 1.597478406465085e-06, + "loss": 0.5898, + "step": 1573 + }, + { + "epoch": 2.4698671112636688, + "grad_norm": 0.6358307157040985, + "learning_rate": 1.5882980509180956e-06, + "loss": 0.6146, + "step": 1574 + }, + { + "epoch": 2.4714362771539253, + "grad_norm": 0.5903480280756508, + "learning_rate": 1.579141874056187e-06, + "loss": 0.6047, + "step": 1575 + }, + { + "epoch": 2.473005443044182, + "grad_norm": 0.6189676720446393, + "learning_rate": 1.5700099021979642e-06, + "loss": 0.6348, + "step": 1576 + }, + { + "epoch": 2.4745746089344385, + "grad_norm": 0.6443719263161586, + "learning_rate": 1.5609021615924702e-06, + "loss": 0.6315, + "step": 1577 + }, + { + "epoch": 2.4761437748246946, + "grad_norm": 0.6145981724704054, + "learning_rate": 1.551818678419087e-06, + "loss": 0.6145, + "step": 1578 + }, + { + "epoch": 2.477712940714951, + "grad_norm": 0.622934927524397, + "learning_rate": 1.5427594787874766e-06, + "loss": 0.5948, + "step": 1579 + }, + { + "epoch": 2.4792821066052078, + "grad_norm": 0.6699845892368447, + "learning_rate": 1.5337245887374962e-06, + "loss": 0.6047, + "step": 1580 + }, + { + "epoch": 2.480851272495464, + "grad_norm": 0.6375995339298633, + "learning_rate": 1.524714034239132e-06, + "loss": 0.6144, + "step": 1581 + }, + { + "epoch": 2.4824204383857205, + "grad_norm": 0.6569547672403754, + "learning_rate": 1.5157278411924148e-06, + "loss": 0.6132, + "step": 1582 + }, + { + "epoch": 2.483989604275977, + "grad_norm": 0.6029476296063775, + "learning_rate": 1.5067660354273527e-06, + "loss": 0.6208, + "step": 1583 + }, + { + "epoch": 2.4855587701662336, + "grad_norm": 0.6511040050621936, + "learning_rate": 1.4978286427038602e-06, + "loss": 0.6145, + "step": 1584 + }, + { + "epoch": 2.48712793605649, + "grad_norm": 0.618052434634993, + "learning_rate": 1.4889156887116652e-06, + "loss": 0.6018, + "step": 1585 + }, + { + "epoch": 2.4886971019467463, + "grad_norm": 0.6050298694027211, + "learning_rate": 1.4800271990702664e-06, + "loss": 0.6093, + "step": 1586 + }, + { + "epoch": 2.490266267837003, + "grad_norm": 0.6391172084775967, + "learning_rate": 1.4711631993288222e-06, + "loss": 0.6395, + "step": 1587 + }, + { + "epoch": 2.4918354337272595, + "grad_norm": 0.6054235436330725, + "learning_rate": 1.462323714966114e-06, + "loss": 0.6055, + "step": 1588 + }, + { + "epoch": 2.4934045996175156, + "grad_norm": 0.6548187603233284, + "learning_rate": 1.4535087713904484e-06, + "loss": 0.6182, + "step": 1589 + }, + { + "epoch": 2.494973765507772, + "grad_norm": 0.6196289256254138, + "learning_rate": 1.4447183939395925e-06, + "loss": 0.6051, + "step": 1590 + }, + { + "epoch": 2.4965429313980287, + "grad_norm": 0.6278881333433757, + "learning_rate": 1.4359526078806985e-06, + "loss": 0.6206, + "step": 1591 + }, + { + "epoch": 2.4981120972882853, + "grad_norm": 0.6279817779364651, + "learning_rate": 1.4272114384102353e-06, + "loss": 0.5997, + "step": 1592 + }, + { + "epoch": 2.499681263178542, + "grad_norm": 0.6403440499985011, + "learning_rate": 1.4184949106539137e-06, + "loss": 0.6276, + "step": 1593 + }, + { + "epoch": 2.501250429068798, + "grad_norm": 0.6329686166680581, + "learning_rate": 1.4098030496666126e-06, + "loss": 0.6154, + "step": 1594 + }, + { + "epoch": 2.5028195949590546, + "grad_norm": 0.6248742808250498, + "learning_rate": 1.4011358804323095e-06, + "loss": 0.6283, + "step": 1595 + }, + { + "epoch": 2.504388760849311, + "grad_norm": 0.6405945581797248, + "learning_rate": 1.3924934278640068e-06, + "loss": 0.6415, + "step": 1596 + }, + { + "epoch": 2.5059579267395673, + "grad_norm": 0.6263078722686413, + "learning_rate": 1.3838757168036598e-06, + "loss": 0.6178, + "step": 1597 + }, + { + "epoch": 2.507527092629824, + "grad_norm": 0.6853831416678203, + "learning_rate": 1.3752827720221128e-06, + "loss": 0.6047, + "step": 1598 + }, + { + "epoch": 2.5090962585200804, + "grad_norm": 0.6038787174236342, + "learning_rate": 1.366714618219015e-06, + "loss": 0.5963, + "step": 1599 + }, + { + "epoch": 2.510665424410337, + "grad_norm": 0.6462779919253984, + "learning_rate": 1.3581712800227576e-06, + "loss": 0.6056, + "step": 1600 + }, + { + "epoch": 2.5122345903005936, + "grad_norm": 0.6639922882540314, + "learning_rate": 1.3496527819904038e-06, + "loss": 0.6277, + "step": 1601 + }, + { + "epoch": 2.5138037561908497, + "grad_norm": 0.6312314509306844, + "learning_rate": 1.3411591486076136e-06, + "loss": 0.6082, + "step": 1602 + }, + { + "epoch": 2.5153729220811063, + "grad_norm": 0.60419353027876, + "learning_rate": 1.3326904042885757e-06, + "loss": 0.6174, + "step": 1603 + }, + { + "epoch": 2.516942087971363, + "grad_norm": 0.6394953202022576, + "learning_rate": 1.324246573375938e-06, + "loss": 0.6223, + "step": 1604 + }, + { + "epoch": 2.518511253861619, + "grad_norm": 0.6301197385255249, + "learning_rate": 1.3158276801407432e-06, + "loss": 0.6033, + "step": 1605 + }, + { + "epoch": 2.5200804197518756, + "grad_norm": 0.6403050882453963, + "learning_rate": 1.3074337487823374e-06, + "loss": 0.6195, + "step": 1606 + }, + { + "epoch": 2.521649585642132, + "grad_norm": 0.6483566179126462, + "learning_rate": 1.299064803428336e-06, + "loss": 0.6085, + "step": 1607 + }, + { + "epoch": 2.5232187515323887, + "grad_norm": 0.6462911527899499, + "learning_rate": 1.290720868134515e-06, + "loss": 0.613, + "step": 1608 + }, + { + "epoch": 2.5247879174226453, + "grad_norm": 0.6061301684390736, + "learning_rate": 1.2824019668847775e-06, + "loss": 0.6237, + "step": 1609 + }, + { + "epoch": 2.5263570833129014, + "grad_norm": 0.6199885041349689, + "learning_rate": 1.2741081235910547e-06, + "loss": 0.6087, + "step": 1610 + }, + { + "epoch": 2.527926249203158, + "grad_norm": 0.6228775327756475, + "learning_rate": 1.2658393620932652e-06, + "loss": 0.6263, + "step": 1611 + }, + { + "epoch": 2.5294954150934146, + "grad_norm": 0.6411144224242795, + "learning_rate": 1.2575957061592159e-06, + "loss": 0.6166, + "step": 1612 + }, + { + "epoch": 2.5310645809836707, + "grad_norm": 0.6577772393020911, + "learning_rate": 1.2493771794845644e-06, + "loss": 0.6016, + "step": 1613 + }, + { + "epoch": 2.5326337468739273, + "grad_norm": 0.6286159437770955, + "learning_rate": 1.2411838056927295e-06, + "loss": 0.6071, + "step": 1614 + }, + { + "epoch": 2.534202912764184, + "grad_norm": 0.6198771581646637, + "learning_rate": 1.233015608334831e-06, + "loss": 0.6126, + "step": 1615 + }, + { + "epoch": 2.53577207865444, + "grad_norm": 0.6128245165835714, + "learning_rate": 1.2248726108896225e-06, + "loss": 0.606, + "step": 1616 + }, + { + "epoch": 2.5373412445446966, + "grad_norm": 0.613565041753448, + "learning_rate": 1.216754836763422e-06, + "loss": 0.6153, + "step": 1617 + }, + { + "epoch": 2.538910410434953, + "grad_norm": 0.6266682143529125, + "learning_rate": 1.2086623092900441e-06, + "loss": 0.618, + "step": 1618 + }, + { + "epoch": 2.5404795763252097, + "grad_norm": 0.6043725875760491, + "learning_rate": 1.2005950517307374e-06, + "loss": 0.6002, + "step": 1619 + }, + { + "epoch": 2.5420487422154663, + "grad_norm": 0.621036861043719, + "learning_rate": 1.1925530872741098e-06, + "loss": 0.6276, + "step": 1620 + }, + { + "epoch": 2.5436179081057224, + "grad_norm": 0.5933230843164937, + "learning_rate": 1.1845364390360692e-06, + "loss": 0.6143, + "step": 1621 + }, + { + "epoch": 2.545187073995979, + "grad_norm": 0.6187328487055244, + "learning_rate": 1.1765451300597574e-06, + "loss": 0.5989, + "step": 1622 + }, + { + "epoch": 2.5467562398862356, + "grad_norm": 0.5716651604588641, + "learning_rate": 1.1685791833154748e-06, + "loss": 0.6009, + "step": 1623 + }, + { + "epoch": 2.5483254057764917, + "grad_norm": 0.6498092570434579, + "learning_rate": 1.160638621700624e-06, + "loss": 0.6073, + "step": 1624 + }, + { + "epoch": 2.5498945716667483, + "grad_norm": 0.6113170699342618, + "learning_rate": 1.1527234680396392e-06, + "loss": 0.6253, + "step": 1625 + }, + { + "epoch": 2.551463737557005, + "grad_norm": 0.6511765985576149, + "learning_rate": 1.1448337450839208e-06, + "loss": 0.5792, + "step": 1626 + }, + { + "epoch": 2.5530329034472614, + "grad_norm": 0.6469524388900086, + "learning_rate": 1.1369694755117733e-06, + "loss": 0.6375, + "step": 1627 + }, + { + "epoch": 2.554602069337518, + "grad_norm": 0.6193317460102629, + "learning_rate": 1.1291306819283353e-06, + "loss": 0.6091, + "step": 1628 + }, + { + "epoch": 2.556171235227774, + "grad_norm": 0.642537669933156, + "learning_rate": 1.121317386865518e-06, + "loss": 0.6158, + "step": 1629 + }, + { + "epoch": 2.5577404011180307, + "grad_norm": 0.6238691080621291, + "learning_rate": 1.1135296127819407e-06, + "loss": 0.5872, + "step": 1630 + }, + { + "epoch": 2.5593095670082873, + "grad_norm": 0.6123001185398639, + "learning_rate": 1.1057673820628612e-06, + "loss": 0.6096, + "step": 1631 + }, + { + "epoch": 2.5608787328985434, + "grad_norm": 0.6174704202396814, + "learning_rate": 1.0980307170201222e-06, + "loss": 0.602, + "step": 1632 + }, + { + "epoch": 2.5624478987888, + "grad_norm": 0.6409484261998208, + "learning_rate": 1.090319639892069e-06, + "loss": 0.6177, + "step": 1633 + }, + { + "epoch": 2.5640170646790565, + "grad_norm": 0.6306409839687421, + "learning_rate": 1.0826341728435096e-06, + "loss": 0.5895, + "step": 1634 + }, + { + "epoch": 2.565586230569313, + "grad_norm": 0.6200811666561175, + "learning_rate": 1.0749743379656263e-06, + "loss": 0.6165, + "step": 1635 + }, + { + "epoch": 2.5671553964595697, + "grad_norm": 0.6069260835975323, + "learning_rate": 1.0673401572759335e-06, + "loss": 0.6018, + "step": 1636 + }, + { + "epoch": 2.568724562349826, + "grad_norm": 0.6239421313429688, + "learning_rate": 1.0597316527182e-06, + "loss": 0.6117, + "step": 1637 + }, + { + "epoch": 2.5702937282400824, + "grad_norm": 0.622423182665628, + "learning_rate": 1.0521488461623919e-06, + "loss": 0.6131, + "step": 1638 + }, + { + "epoch": 2.571862894130339, + "grad_norm": 0.6491405530354314, + "learning_rate": 1.0445917594046073e-06, + "loss": 0.6131, + "step": 1639 + }, + { + "epoch": 2.573432060020595, + "grad_norm": 0.6414385864650671, + "learning_rate": 1.037060414167017e-06, + "loss": 0.6072, + "step": 1640 + }, + { + "epoch": 2.5750012259108517, + "grad_norm": 0.6192783327142664, + "learning_rate": 1.029554832097801e-06, + "loss": 0.6082, + "step": 1641 + }, + { + "epoch": 2.5765703918011083, + "grad_norm": 0.6320681366323113, + "learning_rate": 1.0220750347710795e-06, + "loss": 0.5985, + "step": 1642 + }, + { + "epoch": 2.578139557691365, + "grad_norm": 0.6267841186014629, + "learning_rate": 1.0146210436868675e-06, + "loss": 0.613, + "step": 1643 + }, + { + "epoch": 2.5797087235816214, + "grad_norm": 0.6116247762639864, + "learning_rate": 1.0071928802709886e-06, + "loss": 0.6104, + "step": 1644 + }, + { + "epoch": 2.5812778894718775, + "grad_norm": 0.6595623554979907, + "learning_rate": 9.997905658750428e-07, + "loss": 0.6047, + "step": 1645 + }, + { + "epoch": 2.582847055362134, + "grad_norm": 0.6269886873212843, + "learning_rate": 9.924141217763117e-07, + "loss": 0.6116, + "step": 1646 + }, + { + "epoch": 2.5844162212523907, + "grad_norm": 0.625318304559223, + "learning_rate": 9.8506356917773e-07, + "loss": 0.6166, + "step": 1647 + }, + { + "epoch": 2.585985387142647, + "grad_norm": 0.6089992405678766, + "learning_rate": 9.777389292078033e-07, + "loss": 0.5962, + "step": 1648 + }, + { + "epoch": 2.5875545530329034, + "grad_norm": 0.6233430244452259, + "learning_rate": 9.704402229205534e-07, + "loss": 0.5938, + "step": 1649 + }, + { + "epoch": 2.58912371892316, + "grad_norm": 0.6500889366305391, + "learning_rate": 9.631674712954586e-07, + "loss": 0.6171, + "step": 1650 + }, + { + "epoch": 2.5906928848134165, + "grad_norm": 0.6018959802186566, + "learning_rate": 9.559206952373933e-07, + "loss": 0.5982, + "step": 1651 + }, + { + "epoch": 2.592262050703673, + "grad_norm": 0.6292766046892906, + "learning_rate": 9.486999155765675e-07, + "loss": 0.6034, + "step": 1652 + }, + { + "epoch": 2.5938312165939292, + "grad_norm": 0.6567950396723267, + "learning_rate": 9.415051530684671e-07, + "loss": 0.5869, + "step": 1653 + }, + { + "epoch": 2.595400382484186, + "grad_norm": 0.6470169840291483, + "learning_rate": 9.343364283937928e-07, + "loss": 0.6256, + "step": 1654 + }, + { + "epoch": 2.5969695483744424, + "grad_norm": 0.6144759975367846, + "learning_rate": 9.271937621584026e-07, + "loss": 0.5908, + "step": 1655 + }, + { + "epoch": 2.5985387142646985, + "grad_norm": 0.6443112424048698, + "learning_rate": 9.200771748932513e-07, + "loss": 0.6117, + "step": 1656 + }, + { + "epoch": 2.600107880154955, + "grad_norm": 0.6488140315556548, + "learning_rate": 9.129866870543347e-07, + "loss": 0.5967, + "step": 1657 + }, + { + "epoch": 2.6016770460452117, + "grad_norm": 0.6194486411360511, + "learning_rate": 9.059223190226251e-07, + "loss": 0.6212, + "step": 1658 + }, + { + "epoch": 2.603246211935468, + "grad_norm": 0.6429705904587635, + "learning_rate": 8.988840911040165e-07, + "loss": 0.6019, + "step": 1659 + }, + { + "epoch": 2.6048153778257244, + "grad_norm": 0.6435054574798533, + "learning_rate": 8.918720235292655e-07, + "loss": 0.6271, + "step": 1660 + }, + { + "epoch": 2.606384543715981, + "grad_norm": 0.5956639052828546, + "learning_rate": 8.84886136453933e-07, + "loss": 0.6005, + "step": 1661 + }, + { + "epoch": 2.6079537096062375, + "grad_norm": 0.6073791304043207, + "learning_rate": 8.779264499583284e-07, + "loss": 0.6099, + "step": 1662 + }, + { + "epoch": 2.609522875496494, + "grad_norm": 0.5948979355736304, + "learning_rate": 8.709929840474463e-07, + "loss": 0.6171, + "step": 1663 + }, + { + "epoch": 2.61109204138675, + "grad_norm": 0.6541370980029577, + "learning_rate": 8.640857586509155e-07, + "loss": 0.6322, + "step": 1664 + }, + { + "epoch": 2.612661207277007, + "grad_norm": 0.6590286866274873, + "learning_rate": 8.572047936229355e-07, + "loss": 0.6011, + "step": 1665 + }, + { + "epoch": 2.6142303731672634, + "grad_norm": 0.6279250782414297, + "learning_rate": 8.503501087422305e-07, + "loss": 0.6022, + "step": 1666 + }, + { + "epoch": 2.6157995390575195, + "grad_norm": 0.6325486947752222, + "learning_rate": 8.435217237119719e-07, + "loss": 0.6369, + "step": 1667 + }, + { + "epoch": 2.617368704947776, + "grad_norm": 0.6177234534565488, + "learning_rate": 8.367196581597503e-07, + "loss": 0.5925, + "step": 1668 + }, + { + "epoch": 2.6189378708380326, + "grad_norm": 0.6165720105584769, + "learning_rate": 8.299439316374858e-07, + "loss": 0.6104, + "step": 1669 + }, + { + "epoch": 2.620507036728289, + "grad_norm": 0.5954218678375357, + "learning_rate": 8.231945636214068e-07, + "loss": 0.626, + "step": 1670 + }, + { + "epoch": 2.622076202618546, + "grad_norm": 0.6432133768174138, + "learning_rate": 8.164715735119599e-07, + "loss": 0.6144, + "step": 1671 + }, + { + "epoch": 2.623645368508802, + "grad_norm": 0.6193005560267426, + "learning_rate": 8.097749806337851e-07, + "loss": 0.5937, + "step": 1672 + }, + { + "epoch": 2.6252145343990585, + "grad_norm": 0.6006556888678798, + "learning_rate": 8.031048042356393e-07, + "loss": 0.6118, + "step": 1673 + }, + { + "epoch": 2.626783700289315, + "grad_norm": 0.6159492173114185, + "learning_rate": 7.964610634903458e-07, + "loss": 0.601, + "step": 1674 + }, + { + "epoch": 2.628352866179571, + "grad_norm": 0.6323529032694348, + "learning_rate": 7.898437774947442e-07, + "loss": 0.6012, + "step": 1675 + }, + { + "epoch": 2.6299220320698278, + "grad_norm": 0.6154230134847168, + "learning_rate": 7.832529652696319e-07, + "loss": 0.6138, + "step": 1676 + }, + { + "epoch": 2.6314911979600843, + "grad_norm": 0.6357829028911038, + "learning_rate": 7.766886457597089e-07, + "loss": 0.6154, + "step": 1677 + }, + { + "epoch": 2.633060363850341, + "grad_norm": 0.6397687770530546, + "learning_rate": 7.701508378335243e-07, + "loss": 0.6184, + "step": 1678 + }, + { + "epoch": 2.6346295297405975, + "grad_norm": 0.6347302023334771, + "learning_rate": 7.636395602834223e-07, + "loss": 0.6136, + "step": 1679 + }, + { + "epoch": 2.6361986956308536, + "grad_norm": 0.622009642155309, + "learning_rate": 7.571548318254874e-07, + "loss": 0.6069, + "step": 1680 + }, + { + "epoch": 2.63776786152111, + "grad_norm": 0.6299062315815387, + "learning_rate": 7.506966710994945e-07, + "loss": 0.6217, + "step": 1681 + }, + { + "epoch": 2.6393370274113668, + "grad_norm": 0.6285087030260604, + "learning_rate": 7.442650966688469e-07, + "loss": 0.6016, + "step": 1682 + }, + { + "epoch": 2.640906193301623, + "grad_norm": 0.6398852513724924, + "learning_rate": 7.378601270205299e-07, + "loss": 0.626, + "step": 1683 + }, + { + "epoch": 2.6424753591918795, + "grad_norm": 0.6125662679027378, + "learning_rate": 7.314817805650576e-07, + "loss": 0.6201, + "step": 1684 + }, + { + "epoch": 2.644044525082136, + "grad_norm": 0.6022790662824037, + "learning_rate": 7.251300756364154e-07, + "loss": 0.6042, + "step": 1685 + }, + { + "epoch": 2.6456136909723926, + "grad_norm": 0.6399851300869409, + "learning_rate": 7.188050304920113e-07, + "loss": 0.6154, + "step": 1686 + }, + { + "epoch": 2.647182856862649, + "grad_norm": 0.6176334154422897, + "learning_rate": 7.125066633126221e-07, + "loss": 0.6053, + "step": 1687 + }, + { + "epoch": 2.6487520227529053, + "grad_norm": 0.641212058982805, + "learning_rate": 7.062349922023414e-07, + "loss": 0.5947, + "step": 1688 + }, + { + "epoch": 2.650321188643162, + "grad_norm": 0.6223828261776106, + "learning_rate": 6.999900351885258e-07, + "loss": 0.587, + "step": 1689 + }, + { + "epoch": 2.6518903545334185, + "grad_norm": 0.6466995608169822, + "learning_rate": 6.937718102217461e-07, + "loss": 0.6303, + "step": 1690 + }, + { + "epoch": 2.6534595204236746, + "grad_norm": 0.6277732028739825, + "learning_rate": 6.875803351757371e-07, + "loss": 0.6002, + "step": 1691 + }, + { + "epoch": 2.655028686313931, + "grad_norm": 0.5966572750248873, + "learning_rate": 6.814156278473338e-07, + "loss": 0.6093, + "step": 1692 + }, + { + "epoch": 2.6565978522041878, + "grad_norm": 0.6192878936800507, + "learning_rate": 6.752777059564431e-07, + "loss": 0.6265, + "step": 1693 + }, + { + "epoch": 2.6581670180944443, + "grad_norm": 0.6059962082795073, + "learning_rate": 6.691665871459674e-07, + "loss": 0.584, + "step": 1694 + }, + { + "epoch": 2.659736183984701, + "grad_norm": 0.6269888314020751, + "learning_rate": 6.630822889817734e-07, + "loss": 0.6096, + "step": 1695 + }, + { + "epoch": 2.661305349874957, + "grad_norm": 0.6256330750742394, + "learning_rate": 6.570248289526326e-07, + "loss": 0.6146, + "step": 1696 + }, + { + "epoch": 2.6628745157652136, + "grad_norm": 0.6243811466130468, + "learning_rate": 6.509942244701717e-07, + "loss": 0.5997, + "step": 1697 + }, + { + "epoch": 2.66444368165547, + "grad_norm": 0.6144060701586297, + "learning_rate": 6.449904928688244e-07, + "loss": 0.6135, + "step": 1698 + }, + { + "epoch": 2.6660128475457263, + "grad_norm": 0.6476907715758169, + "learning_rate": 6.390136514057788e-07, + "loss": 0.6231, + "step": 1699 + }, + { + "epoch": 2.667582013435983, + "grad_norm": 0.6311623347938916, + "learning_rate": 6.330637172609333e-07, + "loss": 0.629, + "step": 1700 + }, + { + "epoch": 2.6691511793262395, + "grad_norm": 0.6046918718544069, + "learning_rate": 6.271407075368385e-07, + "loss": 0.6084, + "step": 1701 + }, + { + "epoch": 2.6707203452164956, + "grad_norm": 0.6286572909511952, + "learning_rate": 6.212446392586613e-07, + "loss": 0.6224, + "step": 1702 + }, + { + "epoch": 2.672289511106752, + "grad_norm": 0.6207655106756741, + "learning_rate": 6.15375529374116e-07, + "loss": 0.6282, + "step": 1703 + }, + { + "epoch": 2.6738586769970087, + "grad_norm": 0.6302683784481893, + "learning_rate": 6.095333947534421e-07, + "loss": 0.6027, + "step": 1704 + }, + { + "epoch": 2.6754278428872653, + "grad_norm": 0.6099747919191167, + "learning_rate": 6.037182521893247e-07, + "loss": 0.6092, + "step": 1705 + }, + { + "epoch": 2.676997008777522, + "grad_norm": 0.5981094613416341, + "learning_rate": 5.979301183968789e-07, + "loss": 0.6048, + "step": 1706 + }, + { + "epoch": 2.678566174667778, + "grad_norm": 0.6024927225313307, + "learning_rate": 5.921690100135713e-07, + "loss": 0.5849, + "step": 1707 + }, + { + "epoch": 2.6801353405580346, + "grad_norm": 0.6330637434067633, + "learning_rate": 5.864349435991978e-07, + "loss": 0.6181, + "step": 1708 + }, + { + "epoch": 2.681704506448291, + "grad_norm": 0.6458744268718086, + "learning_rate": 5.807279356358164e-07, + "loss": 0.6278, + "step": 1709 + }, + { + "epoch": 2.6832736723385473, + "grad_norm": 0.6324015374998069, + "learning_rate": 5.750480025277116e-07, + "loss": 0.6082, + "step": 1710 + }, + { + "epoch": 2.684842838228804, + "grad_norm": 0.613714779013516, + "learning_rate": 5.693951606013448e-07, + "loss": 0.6121, + "step": 1711 + }, + { + "epoch": 2.6864120041190604, + "grad_norm": 0.5997658841682052, + "learning_rate": 5.637694261053029e-07, + "loss": 0.6178, + "step": 1712 + }, + { + "epoch": 2.687981170009317, + "grad_norm": 0.6325968452961189, + "learning_rate": 5.581708152102583e-07, + "loss": 0.6083, + "step": 1713 + }, + { + "epoch": 2.6895503358995736, + "grad_norm": 0.6409704318561665, + "learning_rate": 5.525993440089161e-07, + "loss": 0.6181, + "step": 1714 + }, + { + "epoch": 2.6911195017898297, + "grad_norm": 0.6204250558165678, + "learning_rate": 5.470550285159704e-07, + "loss": 0.6077, + "step": 1715 + }, + { + "epoch": 2.6926886676800863, + "grad_norm": 0.6279969649977819, + "learning_rate": 5.415378846680641e-07, + "loss": 0.6044, + "step": 1716 + }, + { + "epoch": 2.694257833570343, + "grad_norm": 0.6280679478451149, + "learning_rate": 5.360479283237319e-07, + "loss": 0.5867, + "step": 1717 + }, + { + "epoch": 2.695826999460599, + "grad_norm": 0.6131444761744856, + "learning_rate": 5.305851752633628e-07, + "loss": 0.6166, + "step": 1718 + }, + { + "epoch": 2.6973961653508556, + "grad_norm": 0.6382530040309086, + "learning_rate": 5.251496411891521e-07, + "loss": 0.6038, + "step": 1719 + }, + { + "epoch": 2.698965331241112, + "grad_norm": 0.5920627773228943, + "learning_rate": 5.197413417250563e-07, + "loss": 0.6059, + "step": 1720 + }, + { + "epoch": 2.7005344971313687, + "grad_norm": 0.6121144084531541, + "learning_rate": 5.143602924167479e-07, + "loss": 0.618, + "step": 1721 + }, + { + "epoch": 2.7021036630216253, + "grad_norm": 0.6400788668283861, + "learning_rate": 5.090065087315721e-07, + "loss": 0.6154, + "step": 1722 + }, + { + "epoch": 2.7036728289118814, + "grad_norm": 0.5962691473983363, + "learning_rate": 5.036800060585023e-07, + "loss": 0.5994, + "step": 1723 + }, + { + "epoch": 2.705241994802138, + "grad_norm": 0.6067094750757442, + "learning_rate": 4.983807997080925e-07, + "loss": 0.6158, + "step": 1724 + }, + { + "epoch": 2.7068111606923946, + "grad_norm": 0.6131021891472516, + "learning_rate": 4.931089049124405e-07, + "loss": 0.5968, + "step": 1725 + }, + { + "epoch": 2.7083803265826507, + "grad_norm": 0.6159120657158506, + "learning_rate": 4.878643368251323e-07, + "loss": 0.6099, + "step": 1726 + }, + { + "epoch": 2.7099494924729073, + "grad_norm": 0.6219286721157657, + "learning_rate": 4.826471105212149e-07, + "loss": 0.5978, + "step": 1727 + }, + { + "epoch": 2.711518658363164, + "grad_norm": 0.6330727581857869, + "learning_rate": 4.774572409971334e-07, + "loss": 0.6049, + "step": 1728 + }, + { + "epoch": 2.7130878242534204, + "grad_norm": 0.619731754175007, + "learning_rate": 4.722947431707092e-07, + "loss": 0.6092, + "step": 1729 + }, + { + "epoch": 2.714656990143677, + "grad_norm": 0.6392807152782485, + "learning_rate": 4.671596318810745e-07, + "loss": 0.609, + "step": 1730 + }, + { + "epoch": 2.716226156033933, + "grad_norm": 0.626448411328319, + "learning_rate": 4.620519218886543e-07, + "loss": 0.6038, + "step": 1731 + }, + { + "epoch": 2.7177953219241897, + "grad_norm": 0.6215557330430416, + "learning_rate": 4.5697162787509686e-07, + "loss": 0.6106, + "step": 1732 + }, + { + "epoch": 2.7193644878144463, + "grad_norm": 0.6246367760947891, + "learning_rate": 4.5191876444325986e-07, + "loss": 0.6396, + "step": 1733 + }, + { + "epoch": 2.7209336537047024, + "grad_norm": 0.6139685110655894, + "learning_rate": 4.468933461171432e-07, + "loss": 0.6217, + "step": 1734 + }, + { + "epoch": 2.722502819594959, + "grad_norm": 0.6287472961922276, + "learning_rate": 4.418953873418641e-07, + "loss": 0.5999, + "step": 1735 + }, + { + "epoch": 2.7240719854852156, + "grad_norm": 0.6360286353553899, + "learning_rate": 4.3692490248360755e-07, + "loss": 0.6041, + "step": 1736 + }, + { + "epoch": 2.725641151375472, + "grad_norm": 0.6111515665662038, + "learning_rate": 4.319819058295893e-07, + "loss": 0.6013, + "step": 1737 + }, + { + "epoch": 2.7272103172657287, + "grad_norm": 0.6299515696538398, + "learning_rate": 4.2706641158800855e-07, + "loss": 0.592, + "step": 1738 + }, + { + "epoch": 2.728779483155985, + "grad_norm": 0.6285255481204092, + "learning_rate": 4.221784338880153e-07, + "loss": 0.6216, + "step": 1739 + }, + { + "epoch": 2.7303486490462414, + "grad_norm": 0.6274256875476529, + "learning_rate": 4.173179867796662e-07, + "loss": 0.6168, + "step": 1740 + }, + { + "epoch": 2.731917814936498, + "grad_norm": 0.6145593914482529, + "learning_rate": 4.124850842338779e-07, + "loss": 0.6231, + "step": 1741 + }, + { + "epoch": 2.733486980826754, + "grad_norm": 0.6315720550867571, + "learning_rate": 4.076797401423993e-07, + "loss": 0.6019, + "step": 1742 + }, + { + "epoch": 2.7350561467170107, + "grad_norm": 0.6394659496581799, + "learning_rate": 4.0290196831776264e-07, + "loss": 0.6104, + "step": 1743 + }, + { + "epoch": 2.7366253126072673, + "grad_norm": 0.6239458047902254, + "learning_rate": 3.981517824932446e-07, + "loss": 0.6227, + "step": 1744 + }, + { + "epoch": 2.7381944784975234, + "grad_norm": 0.6229992986733072, + "learning_rate": 3.9342919632283093e-07, + "loss": 0.6048, + "step": 1745 + }, + { + "epoch": 2.73976364438778, + "grad_norm": 0.6087428019577692, + "learning_rate": 3.8873422338117084e-07, + "loss": 0.5854, + "step": 1746 + }, + { + "epoch": 2.7413328102780365, + "grad_norm": 0.626181564902417, + "learning_rate": 3.8406687716354695e-07, + "loss": 0.608, + "step": 1747 + }, + { + "epoch": 2.742901976168293, + "grad_norm": 0.6232293317789762, + "learning_rate": 3.7942717108582663e-07, + "loss": 0.6225, + "step": 1748 + }, + { + "epoch": 2.7444711420585497, + "grad_norm": 0.6174512725503123, + "learning_rate": 3.748151184844295e-07, + "loss": 0.6034, + "step": 1749 + }, + { + "epoch": 2.746040307948806, + "grad_norm": 0.6118531305616566, + "learning_rate": 3.702307326162924e-07, + "loss": 0.6006, + "step": 1750 + }, + { + "epoch": 2.7476094738390624, + "grad_norm": 0.6303333813449055, + "learning_rate": 3.656740266588177e-07, + "loss": 0.6116, + "step": 1751 + }, + { + "epoch": 2.749178639729319, + "grad_norm": 0.6771241557171276, + "learning_rate": 3.611450137098538e-07, + "loss": 0.6087, + "step": 1752 + }, + { + "epoch": 2.750747805619575, + "grad_norm": 0.6108654732292905, + "learning_rate": 3.5664370678763825e-07, + "loss": 0.6211, + "step": 1753 + }, + { + "epoch": 2.7523169715098317, + "grad_norm": 0.6290060081596168, + "learning_rate": 3.5217011883077914e-07, + "loss": 0.6128, + "step": 1754 + }, + { + "epoch": 2.7538861374000883, + "grad_norm": 0.6159020657547403, + "learning_rate": 3.477242626982047e-07, + "loss": 0.599, + "step": 1755 + }, + { + "epoch": 2.755455303290345, + "grad_norm": 0.6422097275912046, + "learning_rate": 3.4330615116912933e-07, + "loss": 0.6112, + "step": 1756 + }, + { + "epoch": 2.7570244691806014, + "grad_norm": 0.6126211203416192, + "learning_rate": 3.389157969430201e-07, + "loss": 0.6183, + "step": 1757 + }, + { + "epoch": 2.7585936350708575, + "grad_norm": 0.6239291110253911, + "learning_rate": 3.345532126395579e-07, + "loss": 0.6077, + "step": 1758 + }, + { + "epoch": 2.760162800961114, + "grad_norm": 0.6342786200286286, + "learning_rate": 3.302184107986017e-07, + "loss": 0.5963, + "step": 1759 + }, + { + "epoch": 2.7617319668513707, + "grad_norm": 0.6327285715488448, + "learning_rate": 3.259114038801503e-07, + "loss": 0.6047, + "step": 1760 + }, + { + "epoch": 2.763301132741627, + "grad_norm": 0.6525724232968162, + "learning_rate": 3.216322042643127e-07, + "loss": 0.6084, + "step": 1761 + }, + { + "epoch": 2.7648702986318834, + "grad_norm": 0.6364815901300408, + "learning_rate": 3.17380824251261e-07, + "loss": 0.6012, + "step": 1762 + }, + { + "epoch": 2.76643946452214, + "grad_norm": 0.6288438646347232, + "learning_rate": 3.1315727606121226e-07, + "loss": 0.6187, + "step": 1763 + }, + { + "epoch": 2.7680086304123965, + "grad_norm": 0.6273627975177132, + "learning_rate": 3.0896157183437305e-07, + "loss": 0.6077, + "step": 1764 + }, + { + "epoch": 2.769577796302653, + "grad_norm": 0.6366765864678001, + "learning_rate": 3.0479372363092506e-07, + "loss": 0.6104, + "step": 1765 + }, + { + "epoch": 2.7711469621929092, + "grad_norm": 0.636397196659369, + "learning_rate": 3.0065374343096974e-07, + "loss": 0.6117, + "step": 1766 + }, + { + "epoch": 2.772716128083166, + "grad_norm": 0.6398011152595193, + "learning_rate": 2.965416431345147e-07, + "loss": 0.5909, + "step": 1767 + }, + { + "epoch": 2.7742852939734224, + "grad_norm": 0.6283700991353168, + "learning_rate": 2.9245743456142283e-07, + "loss": 0.5978, + "step": 1768 + }, + { + "epoch": 2.7758544598636785, + "grad_norm": 0.6160353193768956, + "learning_rate": 2.8840112945138553e-07, + "loss": 0.6246, + "step": 1769 + }, + { + "epoch": 2.777423625753935, + "grad_norm": 0.6381385874899927, + "learning_rate": 2.8437273946388954e-07, + "loss": 0.6193, + "step": 1770 + }, + { + "epoch": 2.7789927916441917, + "grad_norm": 0.6257187563897191, + "learning_rate": 2.803722761781824e-07, + "loss": 0.5951, + "step": 1771 + }, + { + "epoch": 2.7805619575344482, + "grad_norm": 0.6291003830444258, + "learning_rate": 2.763997510932381e-07, + "loss": 0.6173, + "step": 1772 + }, + { + "epoch": 2.782131123424705, + "grad_norm": 0.6183145230722933, + "learning_rate": 2.7245517562772385e-07, + "loss": 0.6232, + "step": 1773 + }, + { + "epoch": 2.783700289314961, + "grad_norm": 0.6048824669502935, + "learning_rate": 2.685385611199698e-07, + "loss": 0.6141, + "step": 1774 + }, + { + "epoch": 2.7852694552052175, + "grad_norm": 0.6155741411631986, + "learning_rate": 2.646499188279328e-07, + "loss": 0.5949, + "step": 1775 + }, + { + "epoch": 2.786838621095474, + "grad_norm": 0.5866504981490761, + "learning_rate": 2.607892599291695e-07, + "loss": 0.6109, + "step": 1776 + }, + { + "epoch": 2.78840778698573, + "grad_norm": 0.6342916046998135, + "learning_rate": 2.5695659552079866e-07, + "loss": 0.5994, + "step": 1777 + }, + { + "epoch": 2.789976952875987, + "grad_norm": 0.6202593091452479, + "learning_rate": 2.5315193661947013e-07, + "loss": 0.5905, + "step": 1778 + }, + { + "epoch": 2.7915461187662434, + "grad_norm": 0.6458404780592726, + "learning_rate": 2.493752941613348e-07, + "loss": 0.6195, + "step": 1779 + }, + { + "epoch": 2.7931152846565, + "grad_norm": 0.6359881774462259, + "learning_rate": 2.4562667900201677e-07, + "loss": 0.6165, + "step": 1780 + }, + { + "epoch": 2.7946844505467565, + "grad_norm": 0.6034287806264477, + "learning_rate": 2.4190610191657246e-07, + "loss": 0.6085, + "step": 1781 + }, + { + "epoch": 2.7962536164370126, + "grad_norm": 0.598533459476681, + "learning_rate": 2.3821357359946838e-07, + "loss": 0.586, + "step": 1782 + }, + { + "epoch": 2.797822782327269, + "grad_norm": 0.6337616449867283, + "learning_rate": 2.345491046645465e-07, + "loss": 0.6072, + "step": 1783 + }, + { + "epoch": 2.799391948217526, + "grad_norm": 0.6180899901002155, + "learning_rate": 2.309127056449989e-07, + "loss": 0.6302, + "step": 1784 + }, + { + "epoch": 2.800961114107782, + "grad_norm": 0.6274120475368292, + "learning_rate": 2.2730438699332446e-07, + "loss": 0.6182, + "step": 1785 + }, + { + "epoch": 2.8025302799980385, + "grad_norm": 0.6286903227810913, + "learning_rate": 2.237241590813155e-07, + "loss": 0.6119, + "step": 1786 + }, + { + "epoch": 2.804099445888295, + "grad_norm": 0.6200394016947913, + "learning_rate": 2.2017203220001559e-07, + "loss": 0.6252, + "step": 1787 + }, + { + "epoch": 2.805668611778551, + "grad_norm": 0.6095346503938988, + "learning_rate": 2.1664801655969735e-07, + "loss": 0.6071, + "step": 1788 + }, + { + "epoch": 2.8072377776688078, + "grad_norm": 0.6070171687559665, + "learning_rate": 2.1315212228982584e-07, + "loss": 0.5908, + "step": 1789 + }, + { + "epoch": 2.8088069435590644, + "grad_norm": 0.610167775406647, + "learning_rate": 2.0968435943904075e-07, + "loss": 0.6047, + "step": 1790 + }, + { + "epoch": 2.810376109449321, + "grad_norm": 0.6092962332697563, + "learning_rate": 2.062447379751109e-07, + "loss": 0.6007, + "step": 1791 + }, + { + "epoch": 2.8119452753395775, + "grad_norm": 0.6069155785582789, + "learning_rate": 2.028332677849254e-07, + "loss": 0.588, + "step": 1792 + }, + { + "epoch": 2.8135144412298336, + "grad_norm": 0.6195372476122729, + "learning_rate": 1.9944995867444806e-07, + "loss": 0.6263, + "step": 1793 + }, + { + "epoch": 2.81508360712009, + "grad_norm": 0.6258172521903729, + "learning_rate": 1.9609482036869853e-07, + "loss": 0.6113, + "step": 1794 + }, + { + "epoch": 2.8166527730103468, + "grad_norm": 0.5957456998484894, + "learning_rate": 1.927678625117224e-07, + "loss": 0.6173, + "step": 1795 + }, + { + "epoch": 2.818221938900603, + "grad_norm": 0.6013420772952011, + "learning_rate": 1.8946909466656115e-07, + "loss": 0.6294, + "step": 1796 + }, + { + "epoch": 2.8197911047908595, + "grad_norm": 0.6178391550460209, + "learning_rate": 1.8619852631523105e-07, + "loss": 0.6075, + "step": 1797 + }, + { + "epoch": 2.821360270681116, + "grad_norm": 0.6115085507289373, + "learning_rate": 1.8295616685868434e-07, + "loss": 0.61, + "step": 1798 + }, + { + "epoch": 2.8229294365713726, + "grad_norm": 0.6332524030633829, + "learning_rate": 1.797420256167981e-07, + "loss": 0.6111, + "step": 1799 + }, + { + "epoch": 2.824498602461629, + "grad_norm": 0.6189568380201572, + "learning_rate": 1.7655611182832767e-07, + "loss": 0.617, + "step": 1800 + }, + { + "epoch": 2.8260677683518853, + "grad_norm": 0.592681618893148, + "learning_rate": 1.7339843465090322e-07, + "loss": 0.6154, + "step": 1801 + }, + { + "epoch": 2.827636934242142, + "grad_norm": 0.6030740318403597, + "learning_rate": 1.7026900316098217e-07, + "loss": 0.6328, + "step": 1802 + }, + { + "epoch": 2.8292061001323985, + "grad_norm": 0.6496354626918339, + "learning_rate": 1.6716782635383677e-07, + "loss": 0.6122, + "step": 1803 + }, + { + "epoch": 2.8307752660226546, + "grad_norm": 0.6192955883853107, + "learning_rate": 1.640949131435221e-07, + "loss": 0.6251, + "step": 1804 + }, + { + "epoch": 2.832344431912911, + "grad_norm": 0.6324870043465912, + "learning_rate": 1.6105027236285265e-07, + "loss": 0.6234, + "step": 1805 + }, + { + "epoch": 2.8339135978031678, + "grad_norm": 0.613572627637444, + "learning_rate": 1.5803391276337565e-07, + "loss": 0.6172, + "step": 1806 + }, + { + "epoch": 2.8354827636934243, + "grad_norm": 0.6008663021488783, + "learning_rate": 1.5504584301534677e-07, + "loss": 0.6136, + "step": 1807 + }, + { + "epoch": 2.837051929583681, + "grad_norm": 0.6357660273456727, + "learning_rate": 1.520860717077055e-07, + "loss": 0.6086, + "step": 1808 + }, + { + "epoch": 2.838621095473937, + "grad_norm": 0.6096253514157608, + "learning_rate": 1.49154607348051e-07, + "loss": 0.605, + "step": 1809 + }, + { + "epoch": 2.8401902613641936, + "grad_norm": 0.6379925629048546, + "learning_rate": 1.462514583626129e-07, + "loss": 0.6072, + "step": 1810 + }, + { + "epoch": 2.84175942725445, + "grad_norm": 0.6145059421094945, + "learning_rate": 1.4337663309623718e-07, + "loss": 0.6267, + "step": 1811 + }, + { + "epoch": 2.8433285931447063, + "grad_norm": 0.6422167553048911, + "learning_rate": 1.405301398123482e-07, + "loss": 0.5996, + "step": 1812 + }, + { + "epoch": 2.844897759034963, + "grad_norm": 0.6628217797141939, + "learning_rate": 1.3771198669293885e-07, + "loss": 0.589, + "step": 1813 + }, + { + "epoch": 2.8464669249252195, + "grad_norm": 0.6025837806882417, + "learning_rate": 1.3492218183853712e-07, + "loss": 0.5896, + "step": 1814 + }, + { + "epoch": 2.848036090815476, + "grad_norm": 0.6214085884461172, + "learning_rate": 1.3216073326818736e-07, + "loss": 0.6026, + "step": 1815 + }, + { + "epoch": 2.8496052567057326, + "grad_norm": 0.6445313920113861, + "learning_rate": 1.2942764891942793e-07, + "loss": 0.6132, + "step": 1816 + }, + { + "epoch": 2.8511744225959887, + "grad_norm": 0.6343902514011032, + "learning_rate": 1.2672293664826364e-07, + "loss": 0.6308, + "step": 1817 + }, + { + "epoch": 2.8527435884862453, + "grad_norm": 0.6610384011800102, + "learning_rate": 1.2404660422914993e-07, + "loss": 0.609, + "step": 1818 + }, + { + "epoch": 2.854312754376502, + "grad_norm": 0.6061586499692299, + "learning_rate": 1.213986593549621e-07, + "loss": 0.6004, + "step": 1819 + }, + { + "epoch": 2.855881920266758, + "grad_norm": 0.6077126550131754, + "learning_rate": 1.1877910963698502e-07, + "loss": 0.6152, + "step": 1820 + }, + { + "epoch": 2.8574510861570146, + "grad_norm": 0.6243076938643307, + "learning_rate": 1.1618796260487675e-07, + "loss": 0.6134, + "step": 1821 + }, + { + "epoch": 2.859020252047271, + "grad_norm": 0.6551016168182041, + "learning_rate": 1.1362522570665945e-07, + "loss": 0.6198, + "step": 1822 + }, + { + "epoch": 2.8605894179375277, + "grad_norm": 0.6170006393898833, + "learning_rate": 1.1109090630868958e-07, + "loss": 0.6149, + "step": 1823 + }, + { + "epoch": 2.8621585838277843, + "grad_norm": 0.6025650371690818, + "learning_rate": 1.0858501169564439e-07, + "loss": 0.5793, + "step": 1824 + }, + { + "epoch": 2.8637277497180404, + "grad_norm": 0.6009150271064042, + "learning_rate": 1.0610754907049104e-07, + "loss": 0.6229, + "step": 1825 + }, + { + "epoch": 2.865296915608297, + "grad_norm": 0.633054890173234, + "learning_rate": 1.0365852555447642e-07, + "loss": 0.6026, + "step": 1826 + }, + { + "epoch": 2.8668660814985536, + "grad_norm": 0.6073046160185441, + "learning_rate": 1.0123794818709732e-07, + "loss": 0.6193, + "step": 1827 + }, + { + "epoch": 2.8684352473888097, + "grad_norm": 0.6893878610570311, + "learning_rate": 9.884582392608921e-08, + "loss": 0.6158, + "step": 1828 + }, + { + "epoch": 2.8700044132790663, + "grad_norm": 0.6158337050229648, + "learning_rate": 9.64821596473986e-08, + "loss": 0.6226, + "step": 1829 + }, + { + "epoch": 2.871573579169323, + "grad_norm": 0.6057275738681348, + "learning_rate": 9.414696214516628e-08, + "loss": 0.6116, + "step": 1830 + }, + { + "epoch": 2.873142745059579, + "grad_norm": 0.6296795526642787, + "learning_rate": 9.184023813170961e-08, + "loss": 0.6148, + "step": 1831 + }, + { + "epoch": 2.8747119109498356, + "grad_norm": 0.6371941823339383, + "learning_rate": 8.956199423750033e-08, + "loss": 0.6054, + "step": 1832 + }, + { + "epoch": 2.876281076840092, + "grad_norm": 0.6246056754726999, + "learning_rate": 8.731223701114566e-08, + "loss": 0.6216, + "step": 1833 + }, + { + "epoch": 2.8778502427303487, + "grad_norm": 0.6218270704544585, + "learning_rate": 8.509097291937273e-08, + "loss": 0.6105, + "step": 1834 + }, + { + "epoch": 2.8794194086206053, + "grad_norm": 0.6028587942745154, + "learning_rate": 8.289820834700757e-08, + "loss": 0.6316, + "step": 1835 + }, + { + "epoch": 2.8809885745108614, + "grad_norm": 0.6197897768450511, + "learning_rate": 8.073394959695391e-08, + "loss": 0.6104, + "step": 1836 + }, + { + "epoch": 2.882557740401118, + "grad_norm": 0.6056141265481063, + "learning_rate": 7.859820289018105e-08, + "loss": 0.6059, + "step": 1837 + }, + { + "epoch": 2.8841269062913746, + "grad_norm": 0.6237582952875913, + "learning_rate": 7.649097436570164e-08, + "loss": 0.6204, + "step": 1838 + }, + { + "epoch": 2.8856960721816307, + "grad_norm": 0.6137871564411005, + "learning_rate": 7.441227008055607e-08, + "loss": 0.599, + "step": 1839 + }, + { + "epoch": 2.8872652380718873, + "grad_norm": 0.5809785939935747, + "learning_rate": 7.23620960097926e-08, + "loss": 0.6171, + "step": 1840 + }, + { + "epoch": 2.888834403962144, + "grad_norm": 0.6063946492156929, + "learning_rate": 7.034045804645506e-08, + "loss": 0.6123, + "step": 1841 + }, + { + "epoch": 2.8904035698524004, + "grad_norm": 0.6276637285570226, + "learning_rate": 6.834736200155956e-08, + "loss": 0.6131, + "step": 1842 + }, + { + "epoch": 2.891972735742657, + "grad_norm": 0.6190183279985443, + "learning_rate": 6.638281360408339e-08, + "loss": 0.619, + "step": 1843 + }, + { + "epoch": 2.893541901632913, + "grad_norm": 0.6238441748545265, + "learning_rate": 6.444681850094392e-08, + "loss": 0.6276, + "step": 1844 + }, + { + "epoch": 2.8951110675231697, + "grad_norm": 0.6379794182036369, + "learning_rate": 6.253938225698863e-08, + "loss": 0.6142, + "step": 1845 + }, + { + "epoch": 2.8966802334134263, + "grad_norm": 0.591226045286818, + "learning_rate": 6.066051035496956e-08, + "loss": 0.6072, + "step": 1846 + }, + { + "epoch": 2.8982493993036824, + "grad_norm": 0.6287830824690123, + "learning_rate": 5.881020819553773e-08, + "loss": 0.6041, + "step": 1847 + }, + { + "epoch": 2.899818565193939, + "grad_norm": 0.6297126090441673, + "learning_rate": 5.6988481097219886e-08, + "loss": 0.6114, + "step": 1848 + }, + { + "epoch": 2.9013877310841956, + "grad_norm": 0.629255305646127, + "learning_rate": 5.519533429640955e-08, + "loss": 0.6163, + "step": 1849 + }, + { + "epoch": 2.902956896974452, + "grad_norm": 0.6510614775787666, + "learning_rate": 5.343077294734378e-08, + "loss": 0.6217, + "step": 1850 + }, + { + "epoch": 2.9045260628647087, + "grad_norm": 0.6135214725232454, + "learning_rate": 5.1694802122099763e-08, + "loss": 0.6136, + "step": 1851 + }, + { + "epoch": 2.906095228754965, + "grad_norm": 0.6162932803993775, + "learning_rate": 4.9987426810569337e-08, + "loss": 0.609, + "step": 1852 + }, + { + "epoch": 2.9076643946452214, + "grad_norm": 0.6182593240308235, + "learning_rate": 4.8308651920448976e-08, + "loss": 0.5812, + "step": 1853 + }, + { + "epoch": 2.909233560535478, + "grad_norm": 0.6251815502912391, + "learning_rate": 4.665848227722869e-08, + "loss": 0.6243, + "step": 1854 + }, + { + "epoch": 2.910802726425734, + "grad_norm": 0.6280364432992998, + "learning_rate": 4.503692262417203e-08, + "loss": 0.6202, + "step": 1855 + }, + { + "epoch": 2.9123718923159907, + "grad_norm": 0.6042553815150471, + "learning_rate": 4.344397762230834e-08, + "loss": 0.6007, + "step": 1856 + }, + { + "epoch": 2.9139410582062473, + "grad_norm": 0.6062804696233999, + "learning_rate": 4.1879651850414984e-08, + "loss": 0.6215, + "step": 1857 + }, + { + "epoch": 2.915510224096504, + "grad_norm": 0.6265930786009388, + "learning_rate": 4.0343949805006224e-08, + "loss": 0.6395, + "step": 1858 + }, + { + "epoch": 2.9170793899867604, + "grad_norm": 0.6463660972716352, + "learning_rate": 3.8836875900321036e-08, + "loss": 0.6017, + "step": 1859 + }, + { + "epoch": 2.9186485558770165, + "grad_norm": 0.630618534169613, + "learning_rate": 3.735843446830867e-08, + "loss": 0.6174, + "step": 1860 + }, + { + "epoch": 2.920217721767273, + "grad_norm": 0.6170787683735347, + "learning_rate": 3.590862975861642e-08, + "loss": 0.6032, + "step": 1861 + }, + { + "epoch": 2.9217868876575297, + "grad_norm": 0.6143039913473612, + "learning_rate": 3.448746593857744e-08, + "loss": 0.6056, + "step": 1862 + }, + { + "epoch": 2.923356053547786, + "grad_norm": 0.5986342660526142, + "learning_rate": 3.309494709320182e-08, + "loss": 0.6214, + "step": 1863 + }, + { + "epoch": 2.9249252194380424, + "grad_norm": 0.6093712718987271, + "learning_rate": 3.173107722515889e-08, + "loss": 0.6182, + "step": 1864 + }, + { + "epoch": 2.926494385328299, + "grad_norm": 0.6178238828402622, + "learning_rate": 3.0395860254772705e-08, + "loss": 0.6155, + "step": 1865 + }, + { + "epoch": 2.9280635512185555, + "grad_norm": 0.6460856927157047, + "learning_rate": 2.9089300020002097e-08, + "loss": 0.6138, + "step": 1866 + }, + { + "epoch": 2.929632717108812, + "grad_norm": 0.6146017431779306, + "learning_rate": 2.781140027643958e-08, + "loss": 0.6066, + "step": 1867 + }, + { + "epoch": 2.9312018829990683, + "grad_norm": 0.5992576952826651, + "learning_rate": 2.656216469729356e-08, + "loss": 0.618, + "step": 1868 + }, + { + "epoch": 2.932771048889325, + "grad_norm": 0.5966088207618054, + "learning_rate": 2.5341596873379447e-08, + "loss": 0.6129, + "step": 1869 + }, + { + "epoch": 2.9343402147795814, + "grad_norm": 0.6067118519460458, + "learning_rate": 2.4149700313110813e-08, + "loss": 0.6266, + "step": 1870 + }, + { + "epoch": 2.9359093806698375, + "grad_norm": 0.5883316843022128, + "learning_rate": 2.2986478442486026e-08, + "loss": 0.6089, + "step": 1871 + }, + { + "epoch": 2.937478546560094, + "grad_norm": 0.6295074553287695, + "learning_rate": 2.1851934605086057e-08, + "loss": 0.6315, + "step": 1872 + }, + { + "epoch": 2.9390477124503507, + "grad_norm": 0.6330491159810617, + "learning_rate": 2.074607206205226e-08, + "loss": 0.6011, + "step": 1873 + }, + { + "epoch": 2.940616878340607, + "grad_norm": 0.5985870659231455, + "learning_rate": 1.96688939920886e-08, + "loss": 0.5912, + "step": 1874 + }, + { + "epoch": 2.9421860442308634, + "grad_norm": 0.6338601801216073, + "learning_rate": 1.8620403491448334e-08, + "loss": 0.6227, + "step": 1875 + }, + { + "epoch": 2.94375521012112, + "grad_norm": 0.6058036703571001, + "learning_rate": 1.7600603573921794e-08, + "loss": 0.5991, + "step": 1876 + }, + { + "epoch": 2.9453243760113765, + "grad_norm": 0.6286878897897321, + "learning_rate": 1.6609497170834154e-08, + "loss": 0.6258, + "step": 1877 + }, + { + "epoch": 2.946893541901633, + "grad_norm": 0.6157360265928736, + "learning_rate": 1.5647087131031023e-08, + "loss": 0.6049, + "step": 1878 + }, + { + "epoch": 2.9484627077918892, + "grad_norm": 0.6250367911619527, + "learning_rate": 1.4713376220875097e-08, + "loss": 0.6107, + "step": 1879 + }, + { + "epoch": 2.950031873682146, + "grad_norm": 0.5996011159704814, + "learning_rate": 1.3808367124233945e-08, + "loss": 0.6071, + "step": 1880 + }, + { + "epoch": 2.9516010395724024, + "grad_norm": 0.5991967501581563, + "learning_rate": 1.2932062442475579e-08, + "loss": 0.5944, + "step": 1881 + }, + { + "epoch": 2.9531702054626585, + "grad_norm": 0.6147068311522826, + "learning_rate": 1.2084464694459563e-08, + "loss": 0.6068, + "step": 1882 + }, + { + "epoch": 2.954739371352915, + "grad_norm": 0.644616917490021, + "learning_rate": 1.1265576316530358e-08, + "loss": 0.6178, + "step": 1883 + }, + { + "epoch": 2.9563085372431717, + "grad_norm": 0.6060120438513794, + "learning_rate": 1.0475399662508434e-08, + "loss": 0.602, + "step": 1884 + }, + { + "epoch": 2.9578777031334282, + "grad_norm": 0.6169294407291479, + "learning_rate": 9.713937003685836e-09, + "loss": 0.6237, + "step": 1885 + }, + { + "epoch": 2.959446869023685, + "grad_norm": 0.6351522926910512, + "learning_rate": 8.981190528819517e-09, + "loss": 0.6144, + "step": 1886 + }, + { + "epoch": 2.961016034913941, + "grad_norm": 0.6495294100031579, + "learning_rate": 8.277162344123568e-09, + "loss": 0.6382, + "step": 1887 + }, + { + "epoch": 2.9625852008041975, + "grad_norm": 0.5984936307497688, + "learning_rate": 7.60185447326478e-09, + "loss": 0.6145, + "step": 1888 + }, + { + "epoch": 2.964154366694454, + "grad_norm": 0.6159161135481825, + "learning_rate": 6.955268857353759e-09, + "loss": 0.6023, + "step": 1889 + }, + { + "epoch": 2.96572353258471, + "grad_norm": 0.6281340357840098, + "learning_rate": 6.3374073549438144e-09, + "loss": 0.6166, + "step": 1890 + }, + { + "epoch": 2.967292698474967, + "grad_norm": 0.6119302841491187, + "learning_rate": 5.748271742023192e-09, + "loss": 0.6272, + "step": 1891 + }, + { + "epoch": 2.9688618643652234, + "grad_norm": 0.62284830258427, + "learning_rate": 5.187863712007302e-09, + "loss": 0.617, + "step": 1892 + }, + { + "epoch": 2.97043103025548, + "grad_norm": 0.6240913216520743, + "learning_rate": 4.6561848757420425e-09, + "loss": 0.6063, + "step": 1893 + }, + { + "epoch": 2.9720001961457365, + "grad_norm": 0.6264882659448358, + "learning_rate": 4.153236761488266e-09, + "loss": 0.6168, + "step": 1894 + }, + { + "epoch": 2.9735693620359926, + "grad_norm": 0.6255129673312394, + "learning_rate": 3.679020814926215e-09, + "loss": 0.6165, + "step": 1895 + }, + { + "epoch": 2.975138527926249, + "grad_norm": 0.6262445792960478, + "learning_rate": 3.2335383991477507e-09, + "loss": 0.6019, + "step": 1896 + }, + { + "epoch": 2.976707693816506, + "grad_norm": 0.6187188850763499, + "learning_rate": 2.8167907946519134e-09, + "loss": 0.623, + "step": 1897 + }, + { + "epoch": 2.978276859706762, + "grad_norm": 0.6117463895884275, + "learning_rate": 2.428779199341591e-09, + "loss": 0.6031, + "step": 1898 + }, + { + "epoch": 2.9798460255970185, + "grad_norm": 0.6168498754899621, + "learning_rate": 2.069504728522409e-09, + "loss": 0.5916, + "step": 1899 + }, + { + "epoch": 2.981415191487275, + "grad_norm": 0.6015360856359104, + "learning_rate": 1.7389684148960694e-09, + "loss": 0.5989, + "step": 1900 + }, + { + "epoch": 2.9829843573775316, + "grad_norm": 0.6235934671090169, + "learning_rate": 1.4371712085603506e-09, + "loss": 0.613, + "step": 1901 + }, + { + "epoch": 2.984553523267788, + "grad_norm": 0.6006278001550592, + "learning_rate": 1.164113977003556e-09, + "loss": 0.6167, + "step": 1902 + }, + { + "epoch": 2.9861226891580444, + "grad_norm": 0.6120152357372275, + "learning_rate": 9.197975051045138e-10, + "loss": 0.6139, + "step": 1903 + }, + { + "epoch": 2.987691855048301, + "grad_norm": 0.6062239494003836, + "learning_rate": 7.042224951292475e-10, + "loss": 0.622, + "step": 1904 + }, + { + "epoch": 2.9892610209385575, + "grad_norm": 0.6041678467085977, + "learning_rate": 5.173895667287543e-10, + "loss": 0.6111, + "step": 1905 + }, + { + "epoch": 2.9908301868288136, + "grad_norm": 0.6160400943913001, + "learning_rate": 3.5929925693789504e-10, + "loss": 0.6239, + "step": 1906 + }, + { + "epoch": 2.99239935271907, + "grad_norm": 0.6337867043172234, + "learning_rate": 2.2995202017317418e-10, + "loss": 0.6093, + "step": 1907 + }, + { + "epoch": 2.993968518609327, + "grad_norm": 0.5992238579034956, + "learning_rate": 1.2934822823051917e-10, + "loss": 0.62, + "step": 1908 + }, + { + "epoch": 2.9955376844995834, + "grad_norm": 0.6147206067789769, + "learning_rate": 5.748817028750075e-11, + "loss": 0.6138, + "step": 1909 + }, + { + "epoch": 2.99710685038984, + "grad_norm": 0.6291299009729636, + "learning_rate": 1.4372052900002432e-11, + "loss": 0.603, + "step": 1910 + }, + { + "epoch": 2.998676016280096, + "grad_norm": 0.5934030572394862, + "learning_rate": 0.0, + "loss": 0.5879, + "step": 1911 + }, + { + "epoch": 2.998676016280096, + "step": 1911, + "total_flos": 7.847567120190669e+16, + "train_loss": 0.7266823927623822, + "train_runtime": 148650.1651, + "train_samples_per_second": 26.339, + "train_steps_per_second": 0.013 + } + ], + "logging_steps": 1.0, + "max_steps": 1911, + "num_input_tokens_seen": 0, + "num_train_epochs": 3, + "save_steps": 500, + "total_flos": 7.847567120190669e+16, + "train_batch_size": 2, + "trial_name": null, + "trial_params": null +}