diff --git "a/checkpoint-4082/trainer_state.json" "b/checkpoint-4082/trainer_state.json" new file mode 100644--- /dev/null +++ "b/checkpoint-4082/trainer_state.json" @@ -0,0 +1,28607 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.9993876301285978, + "eval_steps": 500, + "global_step": 4082, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0004898958971218616, + "grad_norm": 1.668303370475769, + "learning_rate": 5.0000000000000004e-08, + "loss": 0.9871, + "step": 1 + }, + { + "epoch": 0.0009797917942437231, + "grad_norm": 1.5414912700653076, + "learning_rate": 1.0000000000000001e-07, + "loss": 0.9553, + "step": 2 + }, + { + "epoch": 0.001469687691365585, + "grad_norm": 1.5704071521759033, + "learning_rate": 1.5000000000000002e-07, + "loss": 0.9932, + "step": 3 + }, + { + "epoch": 0.0019595835884874463, + "grad_norm": 1.5206725597381592, + "learning_rate": 2.0000000000000002e-07, + "loss": 0.955, + "step": 4 + }, + { + "epoch": 0.002449479485609308, + "grad_norm": 1.5219823122024536, + "learning_rate": 2.5000000000000004e-07, + "loss": 0.9255, + "step": 5 + }, + { + "epoch": 0.00293937538273117, + "grad_norm": 1.458319902420044, + "learning_rate": 3.0000000000000004e-07, + "loss": 0.918, + "step": 6 + }, + { + "epoch": 0.003429271279853031, + "grad_norm": 1.6977298259735107, + "learning_rate": 3.5000000000000004e-07, + "loss": 1.0083, + "step": 7 + }, + { + "epoch": 0.0039191671769748925, + "grad_norm": 1.5800329446792603, + "learning_rate": 4.0000000000000003e-07, + "loss": 0.9472, + "step": 8 + }, + { + "epoch": 0.004409063074096754, + "grad_norm": 1.5464119911193848, + "learning_rate": 4.5000000000000003e-07, + "loss": 0.9621, + "step": 9 + }, + { + "epoch": 0.004898958971218616, + "grad_norm": 1.5234100818634033, + "learning_rate": 5.000000000000001e-07, + "loss": 0.9296, + "step": 10 + }, + { + "epoch": 0.005388854868340478, + "grad_norm": 1.481718897819519, + "learning_rate": 5.5e-07, + "loss": 0.9571, + "step": 11 + }, + { + "epoch": 0.00587875076546234, + "grad_norm": 1.4497618675231934, + "learning_rate": 6.000000000000001e-07, + "loss": 0.9538, + "step": 12 + }, + { + "epoch": 0.0063686466625842006, + "grad_norm": 1.5114537477493286, + "learning_rate": 6.5e-07, + "loss": 0.9591, + "step": 13 + }, + { + "epoch": 0.006858542559706062, + "grad_norm": 1.4514930248260498, + "learning_rate": 7.000000000000001e-07, + "loss": 0.917, + "step": 14 + }, + { + "epoch": 0.007348438456827924, + "grad_norm": 1.3999227285385132, + "learning_rate": 7.5e-07, + "loss": 0.9543, + "step": 15 + }, + { + "epoch": 0.007838334353949785, + "grad_norm": 1.3517608642578125, + "learning_rate": 8.000000000000001e-07, + "loss": 0.9439, + "step": 16 + }, + { + "epoch": 0.008328230251071647, + "grad_norm": 1.2273361682891846, + "learning_rate": 8.500000000000001e-07, + "loss": 0.961, + "step": 17 + }, + { + "epoch": 0.008818126148193509, + "grad_norm": 1.157639980316162, + "learning_rate": 9.000000000000001e-07, + "loss": 0.9285, + "step": 18 + }, + { + "epoch": 0.00930802204531537, + "grad_norm": 1.0808814764022827, + "learning_rate": 9.500000000000001e-07, + "loss": 0.91, + "step": 19 + }, + { + "epoch": 0.009797917942437232, + "grad_norm": 1.0530990362167358, + "learning_rate": 1.0000000000000002e-06, + "loss": 0.899, + "step": 20 + }, + { + "epoch": 0.010287813839559094, + "grad_norm": 1.0722999572753906, + "learning_rate": 1.0500000000000001e-06, + "loss": 0.9384, + "step": 21 + }, + { + "epoch": 0.010777709736680956, + "grad_norm": 0.9200907945632935, + "learning_rate": 1.1e-06, + "loss": 0.9012, + "step": 22 + }, + { + "epoch": 0.011267605633802818, + "grad_norm": 0.8614085912704468, + "learning_rate": 1.1500000000000002e-06, + "loss": 0.9176, + "step": 23 + }, + { + "epoch": 0.01175750153092468, + "grad_norm": 0.8791833519935608, + "learning_rate": 1.2000000000000002e-06, + "loss": 0.9024, + "step": 24 + }, + { + "epoch": 0.01224739742804654, + "grad_norm": 0.7829999923706055, + "learning_rate": 1.25e-06, + "loss": 0.8956, + "step": 25 + }, + { + "epoch": 0.012737293325168401, + "grad_norm": 0.7279092073440552, + "learning_rate": 1.3e-06, + "loss": 0.8837, + "step": 26 + }, + { + "epoch": 0.013227189222290263, + "grad_norm": 0.7260591983795166, + "learning_rate": 1.3500000000000002e-06, + "loss": 0.9255, + "step": 27 + }, + { + "epoch": 0.013717085119412125, + "grad_norm": 0.6384291648864746, + "learning_rate": 1.4000000000000001e-06, + "loss": 0.8652, + "step": 28 + }, + { + "epoch": 0.014206981016533986, + "grad_norm": 0.6459453701972961, + "learning_rate": 1.45e-06, + "loss": 0.8353, + "step": 29 + }, + { + "epoch": 0.014696876913655848, + "grad_norm": 0.6280319094657898, + "learning_rate": 1.5e-06, + "loss": 0.8961, + "step": 30 + }, + { + "epoch": 0.01518677281077771, + "grad_norm": 0.6156179308891296, + "learning_rate": 1.5500000000000002e-06, + "loss": 0.8929, + "step": 31 + }, + { + "epoch": 0.01567666870789957, + "grad_norm": 0.5640994310379028, + "learning_rate": 1.6000000000000001e-06, + "loss": 0.8689, + "step": 32 + }, + { + "epoch": 0.016166564605021434, + "grad_norm": 0.5428940057754517, + "learning_rate": 1.6500000000000003e-06, + "loss": 0.8843, + "step": 33 + }, + { + "epoch": 0.016656460502143294, + "grad_norm": 0.5078619122505188, + "learning_rate": 1.7000000000000002e-06, + "loss": 0.879, + "step": 34 + }, + { + "epoch": 0.017146356399265157, + "grad_norm": 0.4971136748790741, + "learning_rate": 1.75e-06, + "loss": 0.8815, + "step": 35 + }, + { + "epoch": 0.017636252296387017, + "grad_norm": 0.4693506062030792, + "learning_rate": 1.8000000000000001e-06, + "loss": 0.8494, + "step": 36 + }, + { + "epoch": 0.01812614819350888, + "grad_norm": 0.4563111960887909, + "learning_rate": 1.85e-06, + "loss": 0.8379, + "step": 37 + }, + { + "epoch": 0.01861604409063074, + "grad_norm": 0.4457121193408966, + "learning_rate": 1.9000000000000002e-06, + "loss": 0.8923, + "step": 38 + }, + { + "epoch": 0.019105939987752604, + "grad_norm": 0.4194672107696533, + "learning_rate": 1.9500000000000004e-06, + "loss": 0.8229, + "step": 39 + }, + { + "epoch": 0.019595835884874464, + "grad_norm": 0.40843793749809265, + "learning_rate": 2.0000000000000003e-06, + "loss": 0.8483, + "step": 40 + }, + { + "epoch": 0.020085731781996324, + "grad_norm": 0.39125168323516846, + "learning_rate": 2.05e-06, + "loss": 0.8487, + "step": 41 + }, + { + "epoch": 0.020575627679118188, + "grad_norm": 0.39917248487472534, + "learning_rate": 2.1000000000000002e-06, + "loss": 0.8859, + "step": 42 + }, + { + "epoch": 0.021065523576240048, + "grad_norm": 0.36128363013267517, + "learning_rate": 2.15e-06, + "loss": 0.7875, + "step": 43 + }, + { + "epoch": 0.02155541947336191, + "grad_norm": 0.37637510895729065, + "learning_rate": 2.2e-06, + "loss": 0.8377, + "step": 44 + }, + { + "epoch": 0.02204531537048377, + "grad_norm": 0.3807457387447357, + "learning_rate": 2.25e-06, + "loss": 0.848, + "step": 45 + }, + { + "epoch": 0.022535211267605635, + "grad_norm": 0.36621737480163574, + "learning_rate": 2.3000000000000004e-06, + "loss": 0.8301, + "step": 46 + }, + { + "epoch": 0.023025107164727495, + "grad_norm": 0.35659459233283997, + "learning_rate": 2.35e-06, + "loss": 0.8429, + "step": 47 + }, + { + "epoch": 0.02351500306184936, + "grad_norm": 0.3621164858341217, + "learning_rate": 2.4000000000000003e-06, + "loss": 0.8035, + "step": 48 + }, + { + "epoch": 0.02400489895897122, + "grad_norm": 0.3681345283985138, + "learning_rate": 2.4500000000000003e-06, + "loss": 0.7814, + "step": 49 + }, + { + "epoch": 0.02449479485609308, + "grad_norm": 0.3703807294368744, + "learning_rate": 2.5e-06, + "loss": 0.8359, + "step": 50 + }, + { + "epoch": 0.024984690753214942, + "grad_norm": 0.3428044319152832, + "learning_rate": 2.55e-06, + "loss": 0.7875, + "step": 51 + }, + { + "epoch": 0.025474586650336802, + "grad_norm": 0.3258868455886841, + "learning_rate": 2.6e-06, + "loss": 0.7972, + "step": 52 + }, + { + "epoch": 0.025964482547458666, + "grad_norm": 0.30134114623069763, + "learning_rate": 2.6500000000000005e-06, + "loss": 0.8126, + "step": 53 + }, + { + "epoch": 0.026454378444580526, + "grad_norm": 0.3181776702404022, + "learning_rate": 2.7000000000000004e-06, + "loss": 0.8232, + "step": 54 + }, + { + "epoch": 0.02694427434170239, + "grad_norm": 0.3208143711090088, + "learning_rate": 2.7500000000000004e-06, + "loss": 0.8325, + "step": 55 + }, + { + "epoch": 0.02743417023882425, + "grad_norm": 0.2844039499759674, + "learning_rate": 2.8000000000000003e-06, + "loss": 0.7862, + "step": 56 + }, + { + "epoch": 0.027924066135946113, + "grad_norm": 0.28659218549728394, + "learning_rate": 2.85e-06, + "loss": 0.8426, + "step": 57 + }, + { + "epoch": 0.028413962033067973, + "grad_norm": 0.2850748300552368, + "learning_rate": 2.9e-06, + "loss": 0.7922, + "step": 58 + }, + { + "epoch": 0.028903857930189833, + "grad_norm": 0.27821680903434753, + "learning_rate": 2.95e-06, + "loss": 0.8085, + "step": 59 + }, + { + "epoch": 0.029393753827311696, + "grad_norm": 0.2871108055114746, + "learning_rate": 3e-06, + "loss": 0.8015, + "step": 60 + }, + { + "epoch": 0.029883649724433557, + "grad_norm": 0.2768966853618622, + "learning_rate": 3.05e-06, + "loss": 0.8081, + "step": 61 + }, + { + "epoch": 0.03037354562155542, + "grad_norm": 0.27445188164711, + "learning_rate": 3.1000000000000004e-06, + "loss": 0.7832, + "step": 62 + }, + { + "epoch": 0.03086344151867728, + "grad_norm": 0.2732076048851013, + "learning_rate": 3.1500000000000003e-06, + "loss": 0.8103, + "step": 63 + }, + { + "epoch": 0.03135333741579914, + "grad_norm": 0.2777082026004791, + "learning_rate": 3.2000000000000003e-06, + "loss": 0.838, + "step": 64 + }, + { + "epoch": 0.03184323331292101, + "grad_norm": 0.2745436728000641, + "learning_rate": 3.2500000000000002e-06, + "loss": 0.792, + "step": 65 + }, + { + "epoch": 0.03233312921004287, + "grad_norm": 0.2597768306732178, + "learning_rate": 3.3000000000000006e-06, + "loss": 0.8076, + "step": 66 + }, + { + "epoch": 0.03282302510716473, + "grad_norm": 0.25194868445396423, + "learning_rate": 3.3500000000000005e-06, + "loss": 0.7815, + "step": 67 + }, + { + "epoch": 0.03331292100428659, + "grad_norm": 0.24808664619922638, + "learning_rate": 3.4000000000000005e-06, + "loss": 0.7815, + "step": 68 + }, + { + "epoch": 0.03380281690140845, + "grad_norm": 0.25291213393211365, + "learning_rate": 3.45e-06, + "loss": 0.7831, + "step": 69 + }, + { + "epoch": 0.034292712798530314, + "grad_norm": 0.2491445690393448, + "learning_rate": 3.5e-06, + "loss": 0.7918, + "step": 70 + }, + { + "epoch": 0.034782608695652174, + "grad_norm": 0.24815823137760162, + "learning_rate": 3.5500000000000003e-06, + "loss": 0.7925, + "step": 71 + }, + { + "epoch": 0.035272504592774034, + "grad_norm": 0.23526257276535034, + "learning_rate": 3.6000000000000003e-06, + "loss": 0.7971, + "step": 72 + }, + { + "epoch": 0.035762400489895894, + "grad_norm": 0.23858553171157837, + "learning_rate": 3.65e-06, + "loss": 0.8177, + "step": 73 + }, + { + "epoch": 0.03625229638701776, + "grad_norm": 0.23471508920192719, + "learning_rate": 3.7e-06, + "loss": 0.7927, + "step": 74 + }, + { + "epoch": 0.03674219228413962, + "grad_norm": 0.23156484961509705, + "learning_rate": 3.7500000000000005e-06, + "loss": 0.7824, + "step": 75 + }, + { + "epoch": 0.03723208818126148, + "grad_norm": 0.23146644234657288, + "learning_rate": 3.8000000000000005e-06, + "loss": 0.7813, + "step": 76 + }, + { + "epoch": 0.03772198407838334, + "grad_norm": 0.23870326578617096, + "learning_rate": 3.85e-06, + "loss": 0.7871, + "step": 77 + }, + { + "epoch": 0.03821187997550521, + "grad_norm": 0.2287260890007019, + "learning_rate": 3.900000000000001e-06, + "loss": 0.7842, + "step": 78 + }, + { + "epoch": 0.03870177587262707, + "grad_norm": 0.22993454337120056, + "learning_rate": 3.95e-06, + "loss": 0.7554, + "step": 79 + }, + { + "epoch": 0.03919167176974893, + "grad_norm": 0.22278738021850586, + "learning_rate": 4.000000000000001e-06, + "loss": 0.7796, + "step": 80 + }, + { + "epoch": 0.03968156766687079, + "grad_norm": 0.22093527019023895, + "learning_rate": 4.05e-06, + "loss": 0.7546, + "step": 81 + }, + { + "epoch": 0.04017146356399265, + "grad_norm": 0.22237907350063324, + "learning_rate": 4.1e-06, + "loss": 0.7762, + "step": 82 + }, + { + "epoch": 0.040661359461114516, + "grad_norm": 0.23848189413547516, + "learning_rate": 4.15e-06, + "loss": 0.7694, + "step": 83 + }, + { + "epoch": 0.041151255358236376, + "grad_norm": 0.22380702197551727, + "learning_rate": 4.2000000000000004e-06, + "loss": 0.7829, + "step": 84 + }, + { + "epoch": 0.041641151255358236, + "grad_norm": 0.22918623685836792, + "learning_rate": 4.25e-06, + "loss": 0.7784, + "step": 85 + }, + { + "epoch": 0.042131047152480096, + "grad_norm": 0.21957220137119293, + "learning_rate": 4.3e-06, + "loss": 0.7444, + "step": 86 + }, + { + "epoch": 0.04262094304960196, + "grad_norm": 0.2195909172296524, + "learning_rate": 4.350000000000001e-06, + "loss": 0.791, + "step": 87 + }, + { + "epoch": 0.04311083894672382, + "grad_norm": 0.22012612223625183, + "learning_rate": 4.4e-06, + "loss": 0.7374, + "step": 88 + }, + { + "epoch": 0.04360073484384568, + "grad_norm": 0.22052907943725586, + "learning_rate": 4.450000000000001e-06, + "loss": 0.7833, + "step": 89 + }, + { + "epoch": 0.04409063074096754, + "grad_norm": 0.22584034502506256, + "learning_rate": 4.5e-06, + "loss": 0.7803, + "step": 90 + }, + { + "epoch": 0.0445805266380894, + "grad_norm": 0.21903306245803833, + "learning_rate": 4.5500000000000005e-06, + "loss": 0.7222, + "step": 91 + }, + { + "epoch": 0.04507042253521127, + "grad_norm": 0.21120664477348328, + "learning_rate": 4.600000000000001e-06, + "loss": 0.7955, + "step": 92 + }, + { + "epoch": 0.04556031843233313, + "grad_norm": 0.22016657888889313, + "learning_rate": 4.65e-06, + "loss": 0.7551, + "step": 93 + }, + { + "epoch": 0.04605021432945499, + "grad_norm": 0.2233135849237442, + "learning_rate": 4.7e-06, + "loss": 0.7665, + "step": 94 + }, + { + "epoch": 0.04654011022657685, + "grad_norm": 0.21228142082691193, + "learning_rate": 4.75e-06, + "loss": 0.7513, + "step": 95 + }, + { + "epoch": 0.04703000612369872, + "grad_norm": 0.2213594615459442, + "learning_rate": 4.800000000000001e-06, + "loss": 0.757, + "step": 96 + }, + { + "epoch": 0.04751990202082058, + "grad_norm": 0.21695221960544586, + "learning_rate": 4.85e-06, + "loss": 0.7641, + "step": 97 + }, + { + "epoch": 0.04800979791794244, + "grad_norm": 0.2285292148590088, + "learning_rate": 4.9000000000000005e-06, + "loss": 0.7558, + "step": 98 + }, + { + "epoch": 0.0484996938150643, + "grad_norm": 0.21678751707077026, + "learning_rate": 4.95e-06, + "loss": 0.7418, + "step": 99 + }, + { + "epoch": 0.04898958971218616, + "grad_norm": 0.20614083111286163, + "learning_rate": 5e-06, + "loss": 0.7477, + "step": 100 + }, + { + "epoch": 0.049479485609308024, + "grad_norm": 0.2086937427520752, + "learning_rate": 4.999999659917706e-06, + "loss": 0.7649, + "step": 101 + }, + { + "epoch": 0.049969381506429884, + "grad_norm": 0.2142128199338913, + "learning_rate": 4.999998639670915e-06, + "loss": 0.7333, + "step": 102 + }, + { + "epoch": 0.050459277403551744, + "grad_norm": 0.21820193529129028, + "learning_rate": 4.999996939259905e-06, + "loss": 0.7542, + "step": 103 + }, + { + "epoch": 0.050949173300673604, + "grad_norm": 0.21764390170574188, + "learning_rate": 4.999994558685137e-06, + "loss": 0.7514, + "step": 104 + }, + { + "epoch": 0.05143906919779547, + "grad_norm": 0.21882116794586182, + "learning_rate": 4.999991497947262e-06, + "loss": 0.7423, + "step": 105 + }, + { + "epoch": 0.05192896509491733, + "grad_norm": 0.21646051108837128, + "learning_rate": 4.99998775704711e-06, + "loss": 0.7604, + "step": 106 + }, + { + "epoch": 0.05241886099203919, + "grad_norm": 0.2149217575788498, + "learning_rate": 4.9999833359857005e-06, + "loss": 0.7573, + "step": 107 + }, + { + "epoch": 0.05290875688916105, + "grad_norm": 0.21114769577980042, + "learning_rate": 4.9999782347642355e-06, + "loss": 0.7664, + "step": 108 + }, + { + "epoch": 0.05339865278628291, + "grad_norm": 0.23437361419200897, + "learning_rate": 4.9999724533841035e-06, + "loss": 0.7561, + "step": 109 + }, + { + "epoch": 0.05388854868340478, + "grad_norm": 0.21103020012378693, + "learning_rate": 4.999965991846876e-06, + "loss": 0.7931, + "step": 110 + }, + { + "epoch": 0.05437844458052664, + "grad_norm": 0.22028645873069763, + "learning_rate": 4.999958850154312e-06, + "loss": 0.7392, + "step": 111 + }, + { + "epoch": 0.0548683404776485, + "grad_norm": 0.21418073773384094, + "learning_rate": 4.999951028308353e-06, + "loss": 0.7394, + "step": 112 + }, + { + "epoch": 0.05535823637477036, + "grad_norm": 0.2170812487602234, + "learning_rate": 4.99994252631113e-06, + "loss": 0.7649, + "step": 113 + }, + { + "epoch": 0.055848132271892226, + "grad_norm": 0.2240699976682663, + "learning_rate": 4.999933344164954e-06, + "loss": 0.7407, + "step": 114 + }, + { + "epoch": 0.056338028169014086, + "grad_norm": 0.2185816615819931, + "learning_rate": 4.999923481872324e-06, + "loss": 0.7705, + "step": 115 + }, + { + "epoch": 0.056827924066135946, + "grad_norm": 0.21891696751117706, + "learning_rate": 4.999912939435922e-06, + "loss": 0.7243, + "step": 116 + }, + { + "epoch": 0.057317819963257806, + "grad_norm": 0.21337160468101501, + "learning_rate": 4.999901716858617e-06, + "loss": 0.7281, + "step": 117 + }, + { + "epoch": 0.057807715860379666, + "grad_norm": 0.22411711513996124, + "learning_rate": 4.9998898141434635e-06, + "loss": 0.7407, + "step": 118 + }, + { + "epoch": 0.05829761175750153, + "grad_norm": 0.21748706698417664, + "learning_rate": 4.999877231293698e-06, + "loss": 0.7421, + "step": 119 + }, + { + "epoch": 0.05878750765462339, + "grad_norm": 0.2109653800725937, + "learning_rate": 4.999863968312744e-06, + "loss": 0.748, + "step": 120 + }, + { + "epoch": 0.05927740355174525, + "grad_norm": 0.21555471420288086, + "learning_rate": 4.999850025204211e-06, + "loss": 0.7199, + "step": 121 + }, + { + "epoch": 0.05976729944886711, + "grad_norm": 0.221576988697052, + "learning_rate": 4.999835401971892e-06, + "loss": 0.7292, + "step": 122 + }, + { + "epoch": 0.06025719534598898, + "grad_norm": 0.21922191977500916, + "learning_rate": 4.9998200986197645e-06, + "loss": 0.7493, + "step": 123 + }, + { + "epoch": 0.06074709124311084, + "grad_norm": 0.22416526079177856, + "learning_rate": 4.999804115151994e-06, + "loss": 0.7382, + "step": 124 + }, + { + "epoch": 0.0612369871402327, + "grad_norm": 0.21385036408901215, + "learning_rate": 4.9997874515729275e-06, + "loss": 0.7542, + "step": 125 + }, + { + "epoch": 0.06172688303735456, + "grad_norm": 0.21742364764213562, + "learning_rate": 4.9997701078870985e-06, + "loss": 0.7512, + "step": 126 + }, + { + "epoch": 0.06221677893447643, + "grad_norm": 0.21706967055797577, + "learning_rate": 4.999752084099227e-06, + "loss": 0.7517, + "step": 127 + }, + { + "epoch": 0.06270667483159828, + "grad_norm": 0.24107079207897186, + "learning_rate": 4.999733380214215e-06, + "loss": 0.7558, + "step": 128 + }, + { + "epoch": 0.06319657072872015, + "grad_norm": 0.21388758718967438, + "learning_rate": 4.999713996237152e-06, + "loss": 0.765, + "step": 129 + }, + { + "epoch": 0.06368646662584201, + "grad_norm": 0.2108607441186905, + "learning_rate": 4.999693932173312e-06, + "loss": 0.7365, + "step": 130 + }, + { + "epoch": 0.06417636252296387, + "grad_norm": 0.21274609863758087, + "learning_rate": 4.999673188028153e-06, + "loss": 0.7529, + "step": 131 + }, + { + "epoch": 0.06466625842008573, + "grad_norm": 0.21276482939720154, + "learning_rate": 4.999651763807321e-06, + "loss": 0.7573, + "step": 132 + }, + { + "epoch": 0.06515615431720759, + "grad_norm": 0.22406885027885437, + "learning_rate": 4.999629659516641e-06, + "loss": 0.724, + "step": 133 + }, + { + "epoch": 0.06564605021432945, + "grad_norm": 0.22327333688735962, + "learning_rate": 4.99960687516213e-06, + "loss": 0.7507, + "step": 134 + }, + { + "epoch": 0.06613594611145132, + "grad_norm": 0.21817858517169952, + "learning_rate": 4.999583410749984e-06, + "loss": 0.7329, + "step": 135 + }, + { + "epoch": 0.06662584200857317, + "grad_norm": 0.2202960103750229, + "learning_rate": 4.99955926628659e-06, + "loss": 0.7001, + "step": 136 + }, + { + "epoch": 0.06711573790569504, + "grad_norm": 0.22170418500900269, + "learning_rate": 4.999534441778515e-06, + "loss": 0.7083, + "step": 137 + }, + { + "epoch": 0.0676056338028169, + "grad_norm": 0.22274421155452728, + "learning_rate": 4.999508937232514e-06, + "loss": 0.7545, + "step": 138 + }, + { + "epoch": 0.06809552969993876, + "grad_norm": 0.22415056824684143, + "learning_rate": 4.999482752655524e-06, + "loss": 0.7451, + "step": 139 + }, + { + "epoch": 0.06858542559706063, + "grad_norm": 0.20987579226493835, + "learning_rate": 4.999455888054672e-06, + "loss": 0.7274, + "step": 140 + }, + { + "epoch": 0.06907532149418248, + "grad_norm": 0.2241065949201584, + "learning_rate": 4.999428343437264e-06, + "loss": 0.7422, + "step": 141 + }, + { + "epoch": 0.06956521739130435, + "grad_norm": 0.2241523563861847, + "learning_rate": 4.999400118810794e-06, + "loss": 0.73, + "step": 142 + }, + { + "epoch": 0.07005511328842622, + "grad_norm": 0.21995913982391357, + "learning_rate": 4.999371214182944e-06, + "loss": 0.7614, + "step": 143 + }, + { + "epoch": 0.07054500918554807, + "grad_norm": 0.22398804128170013, + "learning_rate": 4.999341629561575e-06, + "loss": 0.7263, + "step": 144 + }, + { + "epoch": 0.07103490508266994, + "grad_norm": 0.2156529575586319, + "learning_rate": 4.9993113649547364e-06, + "loss": 0.759, + "step": 145 + }, + { + "epoch": 0.07152480097979179, + "grad_norm": 0.22519437968730927, + "learning_rate": 4.999280420370664e-06, + "loss": 0.7556, + "step": 146 + }, + { + "epoch": 0.07201469687691366, + "grad_norm": 0.22073966264724731, + "learning_rate": 4.999248795817774e-06, + "loss": 0.7485, + "step": 147 + }, + { + "epoch": 0.07250459277403552, + "grad_norm": 0.2195131778717041, + "learning_rate": 4.999216491304673e-06, + "loss": 0.732, + "step": 148 + }, + { + "epoch": 0.07299448867115738, + "grad_norm": 0.23442167043685913, + "learning_rate": 4.999183506840149e-06, + "loss": 0.7593, + "step": 149 + }, + { + "epoch": 0.07348438456827924, + "grad_norm": 0.225722998380661, + "learning_rate": 4.999149842433175e-06, + "loss": 0.7417, + "step": 150 + }, + { + "epoch": 0.0739742804654011, + "grad_norm": 0.22025473415851593, + "learning_rate": 4.9991154980929104e-06, + "loss": 0.7449, + "step": 151 + }, + { + "epoch": 0.07446417636252296, + "grad_norm": 0.23160138726234436, + "learning_rate": 4.9990804738287005e-06, + "loss": 0.7409, + "step": 152 + }, + { + "epoch": 0.07495407225964483, + "grad_norm": 0.21675211191177368, + "learning_rate": 4.999044769650072e-06, + "loss": 0.7417, + "step": 153 + }, + { + "epoch": 0.07544396815676668, + "grad_norm": 0.22495831549167633, + "learning_rate": 4.999008385566741e-06, + "loss": 0.7398, + "step": 154 + }, + { + "epoch": 0.07593386405388855, + "grad_norm": 0.22678421437740326, + "learning_rate": 4.9989713215886036e-06, + "loss": 0.7217, + "step": 155 + }, + { + "epoch": 0.07642375995101042, + "grad_norm": 0.21712447702884674, + "learning_rate": 4.998933577725746e-06, + "loss": 0.7394, + "step": 156 + }, + { + "epoch": 0.07691365584813227, + "grad_norm": 0.2327713668346405, + "learning_rate": 4.998895153988437e-06, + "loss": 0.7475, + "step": 157 + }, + { + "epoch": 0.07740355174525414, + "grad_norm": 0.21809875965118408, + "learning_rate": 4.998856050387129e-06, + "loss": 0.7397, + "step": 158 + }, + { + "epoch": 0.07789344764237599, + "grad_norm": 0.2248068004846573, + "learning_rate": 4.998816266932462e-06, + "loss": 0.7504, + "step": 159 + }, + { + "epoch": 0.07838334353949786, + "grad_norm": 0.22332903742790222, + "learning_rate": 4.998775803635259e-06, + "loss": 0.7187, + "step": 160 + }, + { + "epoch": 0.07887323943661972, + "grad_norm": 0.23418764770030975, + "learning_rate": 4.998734660506529e-06, + "loss": 0.7269, + "step": 161 + }, + { + "epoch": 0.07936313533374158, + "grad_norm": 0.21334218978881836, + "learning_rate": 4.998692837557465e-06, + "loss": 0.7228, + "step": 162 + }, + { + "epoch": 0.07985303123086344, + "grad_norm": 0.2249280959367752, + "learning_rate": 4.998650334799446e-06, + "loss": 0.7569, + "step": 163 + }, + { + "epoch": 0.0803429271279853, + "grad_norm": 0.22758226096630096, + "learning_rate": 4.998607152244036e-06, + "loss": 0.7351, + "step": 164 + }, + { + "epoch": 0.08083282302510716, + "grad_norm": 0.21682260930538177, + "learning_rate": 4.998563289902984e-06, + "loss": 0.705, + "step": 165 + }, + { + "epoch": 0.08132271892222903, + "grad_norm": 0.22186994552612305, + "learning_rate": 4.998518747788221e-06, + "loss": 0.6869, + "step": 166 + }, + { + "epoch": 0.08181261481935088, + "grad_norm": 0.2218897044658661, + "learning_rate": 4.9984735259118675e-06, + "loss": 0.7516, + "step": 167 + }, + { + "epoch": 0.08230251071647275, + "grad_norm": 0.24786899983882904, + "learning_rate": 4.9984276242862265e-06, + "loss": 0.7292, + "step": 168 + }, + { + "epoch": 0.0827924066135946, + "grad_norm": 0.22796982526779175, + "learning_rate": 4.998381042923786e-06, + "loss": 0.708, + "step": 169 + }, + { + "epoch": 0.08328230251071647, + "grad_norm": 0.2350655496120453, + "learning_rate": 4.998333781837219e-06, + "loss": 0.7427, + "step": 170 + }, + { + "epoch": 0.08377219840783834, + "grad_norm": 0.21661469340324402, + "learning_rate": 4.998285841039384e-06, + "loss": 0.7173, + "step": 171 + }, + { + "epoch": 0.08426209430496019, + "grad_norm": 0.2350396364927292, + "learning_rate": 4.998237220543324e-06, + "loss": 0.7485, + "step": 172 + }, + { + "epoch": 0.08475199020208206, + "grad_norm": 0.2210429608821869, + "learning_rate": 4.998187920362268e-06, + "loss": 0.7455, + "step": 173 + }, + { + "epoch": 0.08524188609920393, + "grad_norm": 0.23016513884067535, + "learning_rate": 4.998137940509626e-06, + "loss": 0.7116, + "step": 174 + }, + { + "epoch": 0.08573178199632578, + "grad_norm": 0.21964678168296814, + "learning_rate": 4.998087280998999e-06, + "loss": 0.7356, + "step": 175 + }, + { + "epoch": 0.08622167789344765, + "grad_norm": 0.22432510554790497, + "learning_rate": 4.998035941844167e-06, + "loss": 0.7315, + "step": 176 + }, + { + "epoch": 0.0867115737905695, + "grad_norm": 0.2379545122385025, + "learning_rate": 4.9979839230591e-06, + "loss": 0.7165, + "step": 177 + }, + { + "epoch": 0.08720146968769137, + "grad_norm": 0.234178826212883, + "learning_rate": 4.99793122465795e-06, + "loss": 0.7378, + "step": 178 + }, + { + "epoch": 0.08769136558481323, + "grad_norm": 0.216177836060524, + "learning_rate": 4.9978778466550524e-06, + "loss": 0.6997, + "step": 179 + }, + { + "epoch": 0.08818126148193509, + "grad_norm": 0.2306894212961197, + "learning_rate": 4.9978237890649315e-06, + "loss": 0.7341, + "step": 180 + }, + { + "epoch": 0.08867115737905695, + "grad_norm": 0.21481899917125702, + "learning_rate": 4.9977690519022945e-06, + "loss": 0.7151, + "step": 181 + }, + { + "epoch": 0.0891610532761788, + "grad_norm": 0.2187681943178177, + "learning_rate": 4.997713635182033e-06, + "loss": 0.7497, + "step": 182 + }, + { + "epoch": 0.08965094917330067, + "grad_norm": 0.22013579308986664, + "learning_rate": 4.997657538919224e-06, + "loss": 0.7094, + "step": 183 + }, + { + "epoch": 0.09014084507042254, + "grad_norm": 0.22705145180225372, + "learning_rate": 4.99760076312913e-06, + "loss": 0.7298, + "step": 184 + }, + { + "epoch": 0.0906307409675444, + "grad_norm": 0.2299501895904541, + "learning_rate": 4.997543307827196e-06, + "loss": 0.7584, + "step": 185 + }, + { + "epoch": 0.09112063686466626, + "grad_norm": 0.22536176443099976, + "learning_rate": 4.997485173029056e-06, + "loss": 0.711, + "step": 186 + }, + { + "epoch": 0.09161053276178811, + "grad_norm": 0.22876884043216705, + "learning_rate": 4.997426358750525e-06, + "loss": 0.6999, + "step": 187 + }, + { + "epoch": 0.09210042865890998, + "grad_norm": 0.2220255434513092, + "learning_rate": 4.997366865007605e-06, + "loss": 0.7033, + "step": 188 + }, + { + "epoch": 0.09259032455603185, + "grad_norm": 0.22282293438911438, + "learning_rate": 4.9973066918164815e-06, + "loss": 0.7296, + "step": 189 + }, + { + "epoch": 0.0930802204531537, + "grad_norm": 0.2244081050157547, + "learning_rate": 4.997245839193526e-06, + "loss": 0.7217, + "step": 190 + }, + { + "epoch": 0.09357011635027557, + "grad_norm": 0.24491725862026215, + "learning_rate": 4.997184307155294e-06, + "loss": 0.6933, + "step": 191 + }, + { + "epoch": 0.09406001224739743, + "grad_norm": 0.2341097742319107, + "learning_rate": 4.997122095718527e-06, + "loss": 0.7156, + "step": 192 + }, + { + "epoch": 0.09454990814451929, + "grad_norm": 0.23293037712574005, + "learning_rate": 4.997059204900151e-06, + "loss": 0.7219, + "step": 193 + }, + { + "epoch": 0.09503980404164115, + "grad_norm": 0.224905863404274, + "learning_rate": 4.996995634717276e-06, + "loss": 0.6925, + "step": 194 + }, + { + "epoch": 0.09552969993876301, + "grad_norm": 0.23174867033958435, + "learning_rate": 4.996931385187195e-06, + "loss": 0.7354, + "step": 195 + }, + { + "epoch": 0.09601959583588487, + "grad_norm": 0.2354530245065689, + "learning_rate": 4.996866456327392e-06, + "loss": 0.7218, + "step": 196 + }, + { + "epoch": 0.09650949173300674, + "grad_norm": 0.22878359258174896, + "learning_rate": 4.996800848155529e-06, + "loss": 0.7289, + "step": 197 + }, + { + "epoch": 0.0969993876301286, + "grad_norm": 0.22221261262893677, + "learning_rate": 4.996734560689457e-06, + "loss": 0.7276, + "step": 198 + }, + { + "epoch": 0.09748928352725046, + "grad_norm": 0.23485805094242096, + "learning_rate": 4.9966675939472094e-06, + "loss": 0.7407, + "step": 199 + }, + { + "epoch": 0.09797917942437231, + "grad_norm": 0.2275373488664627, + "learning_rate": 4.996599947947009e-06, + "loss": 0.7187, + "step": 200 + }, + { + "epoch": 0.09846907532149418, + "grad_norm": 0.22819741070270538, + "learning_rate": 4.996531622707255e-06, + "loss": 0.717, + "step": 201 + }, + { + "epoch": 0.09895897121861605, + "grad_norm": 0.24706602096557617, + "learning_rate": 4.99646261824654e-06, + "loss": 0.7126, + "step": 202 + }, + { + "epoch": 0.0994488671157379, + "grad_norm": 0.2240106165409088, + "learning_rate": 4.996392934583636e-06, + "loss": 0.7269, + "step": 203 + }, + { + "epoch": 0.09993876301285977, + "grad_norm": 0.23807524144649506, + "learning_rate": 4.996322571737502e-06, + "loss": 0.719, + "step": 204 + }, + { + "epoch": 0.10042865890998164, + "grad_norm": 0.23285457491874695, + "learning_rate": 4.996251529727282e-06, + "loss": 0.7088, + "step": 205 + }, + { + "epoch": 0.10091855480710349, + "grad_norm": 0.227351576089859, + "learning_rate": 4.996179808572303e-06, + "loss": 0.74, + "step": 206 + }, + { + "epoch": 0.10140845070422536, + "grad_norm": 0.2282775193452835, + "learning_rate": 4.996107408292079e-06, + "loss": 0.7037, + "step": 207 + }, + { + "epoch": 0.10189834660134721, + "grad_norm": 0.23110702633857727, + "learning_rate": 4.996034328906308e-06, + "loss": 0.7153, + "step": 208 + }, + { + "epoch": 0.10238824249846908, + "grad_norm": 0.2378554791212082, + "learning_rate": 4.995960570434869e-06, + "loss": 0.7097, + "step": 209 + }, + { + "epoch": 0.10287813839559094, + "grad_norm": 0.2271486073732376, + "learning_rate": 4.995886132897833e-06, + "loss": 0.7112, + "step": 210 + }, + { + "epoch": 0.1033680342927128, + "grad_norm": 0.24688458442687988, + "learning_rate": 4.99581101631545e-06, + "loss": 0.6905, + "step": 211 + }, + { + "epoch": 0.10385793018983466, + "grad_norm": 0.23487895727157593, + "learning_rate": 4.995735220708158e-06, + "loss": 0.6851, + "step": 212 + }, + { + "epoch": 0.10434782608695652, + "grad_norm": 0.23712845146656036, + "learning_rate": 4.995658746096577e-06, + "loss": 0.7162, + "step": 213 + }, + { + "epoch": 0.10483772198407838, + "grad_norm": 0.23982517421245575, + "learning_rate": 4.995581592501514e-06, + "loss": 0.7172, + "step": 214 + }, + { + "epoch": 0.10532761788120025, + "grad_norm": 0.24245846271514893, + "learning_rate": 4.99550375994396e-06, + "loss": 0.7461, + "step": 215 + }, + { + "epoch": 0.1058175137783221, + "grad_norm": 0.25469428300857544, + "learning_rate": 4.995425248445089e-06, + "loss": 0.7231, + "step": 216 + }, + { + "epoch": 0.10630740967544397, + "grad_norm": 0.23790335655212402, + "learning_rate": 4.995346058026263e-06, + "loss": 0.6956, + "step": 217 + }, + { + "epoch": 0.10679730557256582, + "grad_norm": 0.23641760647296906, + "learning_rate": 4.995266188709027e-06, + "loss": 0.7264, + "step": 218 + }, + { + "epoch": 0.10728720146968769, + "grad_norm": 0.24292510747909546, + "learning_rate": 4.99518564051511e-06, + "loss": 0.6772, + "step": 219 + }, + { + "epoch": 0.10777709736680956, + "grad_norm": 0.2255912572145462, + "learning_rate": 4.995104413466426e-06, + "loss": 0.6805, + "step": 220 + }, + { + "epoch": 0.10826699326393141, + "grad_norm": 0.24550217390060425, + "learning_rate": 4.995022507585075e-06, + "loss": 0.7456, + "step": 221 + }, + { + "epoch": 0.10875688916105328, + "grad_norm": 0.24428114295005798, + "learning_rate": 4.99493992289334e-06, + "loss": 0.7485, + "step": 222 + }, + { + "epoch": 0.10924678505817514, + "grad_norm": 0.2401362955570221, + "learning_rate": 4.994856659413691e-06, + "loss": 0.7092, + "step": 223 + }, + { + "epoch": 0.109736680955297, + "grad_norm": 0.24536854028701782, + "learning_rate": 4.99477271716878e-06, + "loss": 0.6942, + "step": 224 + }, + { + "epoch": 0.11022657685241886, + "grad_norm": 0.23893441259860992, + "learning_rate": 4.994688096181444e-06, + "loss": 0.7108, + "step": 225 + }, + { + "epoch": 0.11071647274954072, + "grad_norm": 0.2415887713432312, + "learning_rate": 4.994602796474707e-06, + "loss": 0.6844, + "step": 226 + }, + { + "epoch": 0.11120636864666258, + "grad_norm": 0.2488085925579071, + "learning_rate": 4.994516818071775e-06, + "loss": 0.7047, + "step": 227 + }, + { + "epoch": 0.11169626454378445, + "grad_norm": 0.24722400307655334, + "learning_rate": 4.994430160996041e-06, + "loss": 0.7382, + "step": 228 + }, + { + "epoch": 0.1121861604409063, + "grad_norm": 0.24387723207473755, + "learning_rate": 4.99434282527108e-06, + "loss": 0.7109, + "step": 229 + }, + { + "epoch": 0.11267605633802817, + "grad_norm": 0.24834807217121124, + "learning_rate": 4.9942548109206545e-06, + "loss": 0.7077, + "step": 230 + }, + { + "epoch": 0.11316595223515002, + "grad_norm": 0.23779404163360596, + "learning_rate": 4.994166117968709e-06, + "loss": 0.6803, + "step": 231 + }, + { + "epoch": 0.11365584813227189, + "grad_norm": 0.24619951844215393, + "learning_rate": 4.994076746439375e-06, + "loss": 0.7001, + "step": 232 + }, + { + "epoch": 0.11414574402939376, + "grad_norm": 0.23684336245059967, + "learning_rate": 4.993986696356966e-06, + "loss": 0.7151, + "step": 233 + }, + { + "epoch": 0.11463563992651561, + "grad_norm": 0.26148277521133423, + "learning_rate": 4.993895967745983e-06, + "loss": 0.6959, + "step": 234 + }, + { + "epoch": 0.11512553582363748, + "grad_norm": 0.24303443729877472, + "learning_rate": 4.993804560631109e-06, + "loss": 0.7427, + "step": 235 + }, + { + "epoch": 0.11561543172075933, + "grad_norm": 0.23858515918254852, + "learning_rate": 4.993712475037213e-06, + "loss": 0.7167, + "step": 236 + }, + { + "epoch": 0.1161053276178812, + "grad_norm": 0.23997746407985687, + "learning_rate": 4.993619710989349e-06, + "loss": 0.7456, + "step": 237 + }, + { + "epoch": 0.11659522351500307, + "grad_norm": 0.24167482554912567, + "learning_rate": 4.993526268512755e-06, + "loss": 0.7072, + "step": 238 + }, + { + "epoch": 0.11708511941212492, + "grad_norm": 0.2411864548921585, + "learning_rate": 4.9934321476328515e-06, + "loss": 0.6987, + "step": 239 + }, + { + "epoch": 0.11757501530924679, + "grad_norm": 0.2430465817451477, + "learning_rate": 4.993337348375249e-06, + "loss": 0.7009, + "step": 240 + }, + { + "epoch": 0.11806491120636865, + "grad_norm": 0.2417476773262024, + "learning_rate": 4.993241870765736e-06, + "loss": 0.695, + "step": 241 + }, + { + "epoch": 0.1185548071034905, + "grad_norm": 0.24546459317207336, + "learning_rate": 4.99314571483029e-06, + "loss": 0.7091, + "step": 242 + }, + { + "epoch": 0.11904470300061237, + "grad_norm": 0.2377326339483261, + "learning_rate": 4.993048880595072e-06, + "loss": 0.7005, + "step": 243 + }, + { + "epoch": 0.11953459889773423, + "grad_norm": 0.2439325898885727, + "learning_rate": 4.992951368086427e-06, + "loss": 0.6956, + "step": 244 + }, + { + "epoch": 0.1200244947948561, + "grad_norm": 0.2318105548620224, + "learning_rate": 4.992853177330884e-06, + "loss": 0.708, + "step": 245 + }, + { + "epoch": 0.12051439069197796, + "grad_norm": 0.24266572296619415, + "learning_rate": 4.992754308355159e-06, + "loss": 0.7126, + "step": 246 + }, + { + "epoch": 0.12100428658909981, + "grad_norm": 0.24958163499832153, + "learning_rate": 4.99265476118615e-06, + "loss": 0.7165, + "step": 247 + }, + { + "epoch": 0.12149418248622168, + "grad_norm": 0.24117092788219452, + "learning_rate": 4.99255453585094e-06, + "loss": 0.6977, + "step": 248 + }, + { + "epoch": 0.12198407838334353, + "grad_norm": 0.24092306196689606, + "learning_rate": 4.992453632376797e-06, + "loss": 0.7179, + "step": 249 + }, + { + "epoch": 0.1224739742804654, + "grad_norm": 0.24704957008361816, + "learning_rate": 4.992352050791175e-06, + "loss": 0.6955, + "step": 250 + }, + { + "epoch": 0.12296387017758727, + "grad_norm": 0.23530827462673187, + "learning_rate": 4.992249791121709e-06, + "loss": 0.7051, + "step": 251 + }, + { + "epoch": 0.12345376607470912, + "grad_norm": 0.2405635416507721, + "learning_rate": 4.992146853396219e-06, + "loss": 0.7247, + "step": 252 + }, + { + "epoch": 0.12394366197183099, + "grad_norm": 0.23462170362472534, + "learning_rate": 4.992043237642715e-06, + "loss": 0.709, + "step": 253 + }, + { + "epoch": 0.12443355786895285, + "grad_norm": 0.24728280305862427, + "learning_rate": 4.991938943889384e-06, + "loss": 0.6904, + "step": 254 + }, + { + "epoch": 0.12492345376607471, + "grad_norm": 0.2390342354774475, + "learning_rate": 4.991833972164602e-06, + "loss": 0.7031, + "step": 255 + }, + { + "epoch": 0.12541334966319656, + "grad_norm": 0.25283288955688477, + "learning_rate": 4.991728322496928e-06, + "loss": 0.717, + "step": 256 + }, + { + "epoch": 0.12590324556031843, + "grad_norm": 0.23909400403499603, + "learning_rate": 4.991621994915105e-06, + "loss": 0.6916, + "step": 257 + }, + { + "epoch": 0.1263931414574403, + "grad_norm": 0.24953396618366241, + "learning_rate": 4.991514989448063e-06, + "loss": 0.6901, + "step": 258 + }, + { + "epoch": 0.12688303735456216, + "grad_norm": 0.24343158304691315, + "learning_rate": 4.991407306124914e-06, + "loss": 0.7018, + "step": 259 + }, + { + "epoch": 0.12737293325168403, + "grad_norm": 0.24725763499736786, + "learning_rate": 4.991298944974953e-06, + "loss": 0.6996, + "step": 260 + }, + { + "epoch": 0.12786282914880587, + "grad_norm": 0.25944840908050537, + "learning_rate": 4.991189906027663e-06, + "loss": 0.7083, + "step": 261 + }, + { + "epoch": 0.12835272504592773, + "grad_norm": 0.2454294115304947, + "learning_rate": 4.991080189312709e-06, + "loss": 0.7058, + "step": 262 + }, + { + "epoch": 0.1288426209430496, + "grad_norm": 0.2501434087753296, + "learning_rate": 4.990969794859941e-06, + "loss": 0.7102, + "step": 263 + }, + { + "epoch": 0.12933251684017147, + "grad_norm": 0.26826831698417664, + "learning_rate": 4.990858722699395e-06, + "loss": 0.7305, + "step": 264 + }, + { + "epoch": 0.12982241273729334, + "grad_norm": 0.23846790194511414, + "learning_rate": 4.990746972861289e-06, + "loss": 0.6752, + "step": 265 + }, + { + "epoch": 0.13031230863441517, + "grad_norm": 0.25017425417900085, + "learning_rate": 4.990634545376027e-06, + "loss": 0.7062, + "step": 266 + }, + { + "epoch": 0.13080220453153704, + "grad_norm": 0.2652483880519867, + "learning_rate": 4.990521440274195e-06, + "loss": 0.7117, + "step": 267 + }, + { + "epoch": 0.1312921004286589, + "grad_norm": 0.24066515266895294, + "learning_rate": 4.990407657586568e-06, + "loss": 0.7193, + "step": 268 + }, + { + "epoch": 0.13178199632578078, + "grad_norm": 0.2460177093744278, + "learning_rate": 4.990293197344098e-06, + "loss": 0.6644, + "step": 269 + }, + { + "epoch": 0.13227189222290264, + "grad_norm": 0.2507753372192383, + "learning_rate": 4.99017805957793e-06, + "loss": 0.7114, + "step": 270 + }, + { + "epoch": 0.13276178812002448, + "grad_norm": 0.25557348132133484, + "learning_rate": 4.990062244319387e-06, + "loss": 0.6895, + "step": 271 + }, + { + "epoch": 0.13325168401714635, + "grad_norm": 0.2597479522228241, + "learning_rate": 4.989945751599978e-06, + "loss": 0.7285, + "step": 272 + }, + { + "epoch": 0.13374157991426822, + "grad_norm": 0.2611940801143646, + "learning_rate": 4.989828581451398e-06, + "loss": 0.7296, + "step": 273 + }, + { + "epoch": 0.13423147581139008, + "grad_norm": 0.2552890479564667, + "learning_rate": 4.989710733905524e-06, + "loss": 0.7324, + "step": 274 + }, + { + "epoch": 0.13472137170851195, + "grad_norm": 0.2605132460594177, + "learning_rate": 4.9895922089944185e-06, + "loss": 0.6969, + "step": 275 + }, + { + "epoch": 0.1352112676056338, + "grad_norm": 0.25689518451690674, + "learning_rate": 4.989473006750328e-06, + "loss": 0.7032, + "step": 276 + }, + { + "epoch": 0.13570116350275566, + "grad_norm": 0.25465458631515503, + "learning_rate": 4.989353127205684e-06, + "loss": 0.6865, + "step": 277 + }, + { + "epoch": 0.13619105939987752, + "grad_norm": 0.25785622000694275, + "learning_rate": 4.989232570393101e-06, + "loss": 0.7007, + "step": 278 + }, + { + "epoch": 0.1366809552969994, + "grad_norm": 0.25546690821647644, + "learning_rate": 4.989111336345378e-06, + "loss": 0.7342, + "step": 279 + }, + { + "epoch": 0.13717085119412126, + "grad_norm": 0.25426116585731506, + "learning_rate": 4.9889894250955005e-06, + "loss": 0.6978, + "step": 280 + }, + { + "epoch": 0.13766074709124312, + "grad_norm": 0.25376084446907043, + "learning_rate": 4.988866836676635e-06, + "loss": 0.6856, + "step": 281 + }, + { + "epoch": 0.13815064298836496, + "grad_norm": 0.2518889307975769, + "learning_rate": 4.988743571122133e-06, + "loss": 0.6964, + "step": 282 + }, + { + "epoch": 0.13864053888548683, + "grad_norm": 0.24486613273620605, + "learning_rate": 4.9886196284655315e-06, + "loss": 0.7082, + "step": 283 + }, + { + "epoch": 0.1391304347826087, + "grad_norm": 0.26591217517852783, + "learning_rate": 4.988495008740552e-06, + "loss": 0.6737, + "step": 284 + }, + { + "epoch": 0.13962033067973056, + "grad_norm": 0.2720721960067749, + "learning_rate": 4.988369711981097e-06, + "loss": 0.7142, + "step": 285 + }, + { + "epoch": 0.14011022657685243, + "grad_norm": 0.2502274215221405, + "learning_rate": 4.988243738221258e-06, + "loss": 0.6928, + "step": 286 + }, + { + "epoch": 0.14060012247397427, + "grad_norm": 0.2472478747367859, + "learning_rate": 4.988117087495306e-06, + "loss": 0.7081, + "step": 287 + }, + { + "epoch": 0.14109001837109614, + "grad_norm": 0.2597702145576477, + "learning_rate": 4.9879897598377005e-06, + "loss": 0.7252, + "step": 288 + }, + { + "epoch": 0.141579914268218, + "grad_norm": 0.2554181218147278, + "learning_rate": 4.987861755283081e-06, + "loss": 0.6871, + "step": 289 + }, + { + "epoch": 0.14206981016533987, + "grad_norm": 0.2611641585826874, + "learning_rate": 4.9877330738662755e-06, + "loss": 0.6922, + "step": 290 + }, + { + "epoch": 0.14255970606246174, + "grad_norm": 0.2400081306695938, + "learning_rate": 4.987603715622291e-06, + "loss": 0.6572, + "step": 291 + }, + { + "epoch": 0.14304960195958358, + "grad_norm": 0.2615026831626892, + "learning_rate": 4.987473680586323e-06, + "loss": 0.7023, + "step": 292 + }, + { + "epoch": 0.14353949785670544, + "grad_norm": 0.25383347272872925, + "learning_rate": 4.98734296879375e-06, + "loss": 0.6958, + "step": 293 + }, + { + "epoch": 0.1440293937538273, + "grad_norm": 0.25849246978759766, + "learning_rate": 4.987211580280133e-06, + "loss": 0.7196, + "step": 294 + }, + { + "epoch": 0.14451928965094918, + "grad_norm": 0.26360154151916504, + "learning_rate": 4.987079515081219e-06, + "loss": 0.7121, + "step": 295 + }, + { + "epoch": 0.14500918554807105, + "grad_norm": 0.2684732973575592, + "learning_rate": 4.986946773232939e-06, + "loss": 0.7198, + "step": 296 + }, + { + "epoch": 0.14549908144519288, + "grad_norm": 0.2610439360141754, + "learning_rate": 4.986813354771406e-06, + "loss": 0.6924, + "step": 297 + }, + { + "epoch": 0.14598897734231475, + "grad_norm": 0.25493988394737244, + "learning_rate": 4.986679259732919e-06, + "loss": 0.7354, + "step": 298 + }, + { + "epoch": 0.14647887323943662, + "grad_norm": 0.2612632215023041, + "learning_rate": 4.986544488153963e-06, + "loss": 0.6878, + "step": 299 + }, + { + "epoch": 0.14696876913655849, + "grad_norm": 0.25811073184013367, + "learning_rate": 4.986409040071202e-06, + "loss": 0.6793, + "step": 300 + }, + { + "epoch": 0.14745866503368035, + "grad_norm": 0.2634781301021576, + "learning_rate": 4.986272915521487e-06, + "loss": 0.7061, + "step": 301 + }, + { + "epoch": 0.1479485609308022, + "grad_norm": 0.25826555490493774, + "learning_rate": 4.9861361145418545e-06, + "loss": 0.664, + "step": 302 + }, + { + "epoch": 0.14843845682792406, + "grad_norm": 0.24985066056251526, + "learning_rate": 4.985998637169522e-06, + "loss": 0.6932, + "step": 303 + }, + { + "epoch": 0.14892835272504593, + "grad_norm": 0.25596854090690613, + "learning_rate": 4.985860483441894e-06, + "loss": 0.6568, + "step": 304 + }, + { + "epoch": 0.1494182486221678, + "grad_norm": 0.2568427324295044, + "learning_rate": 4.985721653396555e-06, + "loss": 0.6889, + "step": 305 + }, + { + "epoch": 0.14990814451928966, + "grad_norm": 0.2716825604438782, + "learning_rate": 4.985582147071277e-06, + "loss": 0.6813, + "step": 306 + }, + { + "epoch": 0.1503980404164115, + "grad_norm": 0.2683699131011963, + "learning_rate": 4.985441964504015e-06, + "loss": 0.6805, + "step": 307 + }, + { + "epoch": 0.15088793631353337, + "grad_norm": 0.2588299810886383, + "learning_rate": 4.985301105732908e-06, + "loss": 0.6981, + "step": 308 + }, + { + "epoch": 0.15137783221065523, + "grad_norm": 0.24666503071784973, + "learning_rate": 4.985159570796279e-06, + "loss": 0.6898, + "step": 309 + }, + { + "epoch": 0.1518677281077771, + "grad_norm": 0.2546054720878601, + "learning_rate": 4.985017359732636e-06, + "loss": 0.6994, + "step": 310 + }, + { + "epoch": 0.15235762400489897, + "grad_norm": 0.24838140606880188, + "learning_rate": 4.9848744725806666e-06, + "loss": 0.7174, + "step": 311 + }, + { + "epoch": 0.15284751990202083, + "grad_norm": 0.2766893804073334, + "learning_rate": 4.984730909379248e-06, + "loss": 0.7009, + "step": 312 + }, + { + "epoch": 0.15333741579914267, + "grad_norm": 0.2599968910217285, + "learning_rate": 4.984586670167438e-06, + "loss": 0.687, + "step": 313 + }, + { + "epoch": 0.15382731169626454, + "grad_norm": 0.2503408193588257, + "learning_rate": 4.984441754984479e-06, + "loss": 0.732, + "step": 314 + }, + { + "epoch": 0.1543172075933864, + "grad_norm": 0.2544567883014679, + "learning_rate": 4.984296163869798e-06, + "loss": 0.6474, + "step": 315 + }, + { + "epoch": 0.15480710349050827, + "grad_norm": 0.25679001212120056, + "learning_rate": 4.9841498968630055e-06, + "loss": 0.7131, + "step": 316 + }, + { + "epoch": 0.15529699938763014, + "grad_norm": 0.2618502080440521, + "learning_rate": 4.984002954003895e-06, + "loss": 0.7174, + "step": 317 + }, + { + "epoch": 0.15578689528475198, + "grad_norm": 0.268387109041214, + "learning_rate": 4.9838553353324445e-06, + "loss": 0.7087, + "step": 318 + }, + { + "epoch": 0.15627679118187385, + "grad_norm": 0.25605982542037964, + "learning_rate": 4.9837070408888175e-06, + "loss": 0.6813, + "step": 319 + }, + { + "epoch": 0.15676668707899571, + "grad_norm": 0.26913389563560486, + "learning_rate": 4.983558070713359e-06, + "loss": 0.73, + "step": 320 + }, + { + "epoch": 0.15725658297611758, + "grad_norm": 0.26553523540496826, + "learning_rate": 4.983408424846597e-06, + "loss": 0.6842, + "step": 321 + }, + { + "epoch": 0.15774647887323945, + "grad_norm": 0.2679034471511841, + "learning_rate": 4.983258103329248e-06, + "loss": 0.681, + "step": 322 + }, + { + "epoch": 0.1582363747703613, + "grad_norm": 0.2610563039779663, + "learning_rate": 4.983107106202209e-06, + "loss": 0.6812, + "step": 323 + }, + { + "epoch": 0.15872627066748315, + "grad_norm": 0.25914549827575684, + "learning_rate": 4.982955433506558e-06, + "loss": 0.6934, + "step": 324 + }, + { + "epoch": 0.15921616656460502, + "grad_norm": 0.25528278946876526, + "learning_rate": 4.982803085283563e-06, + "loss": 0.7034, + "step": 325 + }, + { + "epoch": 0.1597060624617269, + "grad_norm": 0.2526107132434845, + "learning_rate": 4.982650061574672e-06, + "loss": 0.704, + "step": 326 + }, + { + "epoch": 0.16019595835884876, + "grad_norm": 0.25860223174095154, + "learning_rate": 4.982496362421517e-06, + "loss": 0.6896, + "step": 327 + }, + { + "epoch": 0.1606858542559706, + "grad_norm": 0.2585155665874481, + "learning_rate": 4.982341987865914e-06, + "loss": 0.7077, + "step": 328 + }, + { + "epoch": 0.16117575015309246, + "grad_norm": 0.25666436553001404, + "learning_rate": 4.982186937949864e-06, + "loss": 0.6887, + "step": 329 + }, + { + "epoch": 0.16166564605021433, + "grad_norm": 0.248607337474823, + "learning_rate": 4.9820312127155515e-06, + "loss": 0.7001, + "step": 330 + }, + { + "epoch": 0.1621555419473362, + "grad_norm": 0.28019267320632935, + "learning_rate": 4.981874812205341e-06, + "loss": 0.7299, + "step": 331 + }, + { + "epoch": 0.16264543784445806, + "grad_norm": 0.26801958680152893, + "learning_rate": 4.981717736461788e-06, + "loss": 0.6979, + "step": 332 + }, + { + "epoch": 0.1631353337415799, + "grad_norm": 0.2580174505710602, + "learning_rate": 4.981559985527624e-06, + "loss": 0.6632, + "step": 333 + }, + { + "epoch": 0.16362522963870177, + "grad_norm": 0.26502886414527893, + "learning_rate": 4.9814015594457686e-06, + "loss": 0.6887, + "step": 334 + }, + { + "epoch": 0.16411512553582364, + "grad_norm": 0.27120092511177063, + "learning_rate": 4.9812424582593246e-06, + "loss": 0.7047, + "step": 335 + }, + { + "epoch": 0.1646050214329455, + "grad_norm": 0.2717300057411194, + "learning_rate": 4.981082682011577e-06, + "loss": 0.7083, + "step": 336 + }, + { + "epoch": 0.16509491733006737, + "grad_norm": 0.2662920653820038, + "learning_rate": 4.9809222307459984e-06, + "loss": 0.718, + "step": 337 + }, + { + "epoch": 0.1655848132271892, + "grad_norm": 0.25591158866882324, + "learning_rate": 4.980761104506238e-06, + "loss": 0.6912, + "step": 338 + }, + { + "epoch": 0.16607470912431108, + "grad_norm": 0.25804129242897034, + "learning_rate": 4.980599303336135e-06, + "loss": 0.6812, + "step": 339 + }, + { + "epoch": 0.16656460502143294, + "grad_norm": 0.26774024963378906, + "learning_rate": 4.980436827279709e-06, + "loss": 0.7064, + "step": 340 + }, + { + "epoch": 0.1670545009185548, + "grad_norm": 0.26028621196746826, + "learning_rate": 4.980273676381165e-06, + "loss": 0.685, + "step": 341 + }, + { + "epoch": 0.16754439681567668, + "grad_norm": 0.2737005054950714, + "learning_rate": 4.980109850684891e-06, + "loss": 0.6825, + "step": 342 + }, + { + "epoch": 0.16803429271279854, + "grad_norm": 0.26772844791412354, + "learning_rate": 4.979945350235459e-06, + "loss": 0.6999, + "step": 343 + }, + { + "epoch": 0.16852418860992038, + "grad_norm": 0.2749219834804535, + "learning_rate": 4.979780175077621e-06, + "loss": 0.67, + "step": 344 + }, + { + "epoch": 0.16901408450704225, + "grad_norm": 0.2647887170314789, + "learning_rate": 4.979614325256318e-06, + "loss": 0.7059, + "step": 345 + }, + { + "epoch": 0.16950398040416412, + "grad_norm": 0.2660578787326813, + "learning_rate": 4.979447800816673e-06, + "loss": 0.6964, + "step": 346 + }, + { + "epoch": 0.16999387630128598, + "grad_norm": 0.2642233669757843, + "learning_rate": 4.979280601803988e-06, + "loss": 0.6668, + "step": 347 + }, + { + "epoch": 0.17048377219840785, + "grad_norm": 0.26047587394714355, + "learning_rate": 4.979112728263755e-06, + "loss": 0.7015, + "step": 348 + }, + { + "epoch": 0.1709736680955297, + "grad_norm": 0.26166731119155884, + "learning_rate": 4.9789441802416454e-06, + "loss": 0.6964, + "step": 349 + }, + { + "epoch": 0.17146356399265156, + "grad_norm": 0.26318004727363586, + "learning_rate": 4.978774957783517e-06, + "loss": 0.7015, + "step": 350 + }, + { + "epoch": 0.17195345988977342, + "grad_norm": 0.2654951512813568, + "learning_rate": 4.978605060935407e-06, + "loss": 0.6653, + "step": 351 + }, + { + "epoch": 0.1724433557868953, + "grad_norm": 0.2767031490802765, + "learning_rate": 4.9784344897435405e-06, + "loss": 0.6837, + "step": 352 + }, + { + "epoch": 0.17293325168401716, + "grad_norm": 0.2719745635986328, + "learning_rate": 4.978263244254324e-06, + "loss": 0.6784, + "step": 353 + }, + { + "epoch": 0.173423147581139, + "grad_norm": 0.2508717179298401, + "learning_rate": 4.978091324514346e-06, + "loss": 0.6805, + "step": 354 + }, + { + "epoch": 0.17391304347826086, + "grad_norm": 0.26405903697013855, + "learning_rate": 4.977918730570381e-06, + "loss": 0.6521, + "step": 355 + }, + { + "epoch": 0.17440293937538273, + "grad_norm": 0.26240110397338867, + "learning_rate": 4.977745462469386e-06, + "loss": 0.675, + "step": 356 + }, + { + "epoch": 0.1748928352725046, + "grad_norm": 0.2654706835746765, + "learning_rate": 4.9775715202585005e-06, + "loss": 0.6967, + "step": 357 + }, + { + "epoch": 0.17538273116962647, + "grad_norm": 0.26780185103416443, + "learning_rate": 4.97739690398505e-06, + "loss": 0.6808, + "step": 358 + }, + { + "epoch": 0.1758726270667483, + "grad_norm": 0.27980104088783264, + "learning_rate": 4.9772216136965405e-06, + "loss": 0.6901, + "step": 359 + }, + { + "epoch": 0.17636252296387017, + "grad_norm": 0.2825722396373749, + "learning_rate": 4.977045649440662e-06, + "loss": 0.7147, + "step": 360 + }, + { + "epoch": 0.17685241886099204, + "grad_norm": 0.28033769130706787, + "learning_rate": 4.97686901126529e-06, + "loss": 0.69, + "step": 361 + }, + { + "epoch": 0.1773423147581139, + "grad_norm": 0.2616003751754761, + "learning_rate": 4.976691699218479e-06, + "loss": 0.679, + "step": 362 + }, + { + "epoch": 0.17783221065523577, + "grad_norm": 0.26597169041633606, + "learning_rate": 4.976513713348472e-06, + "loss": 0.6817, + "step": 363 + }, + { + "epoch": 0.1783221065523576, + "grad_norm": 0.2727013826370239, + "learning_rate": 4.976335053703692e-06, + "loss": 0.6878, + "step": 364 + }, + { + "epoch": 0.17881200244947948, + "grad_norm": 0.2789647579193115, + "learning_rate": 4.976155720332747e-06, + "loss": 0.6942, + "step": 365 + }, + { + "epoch": 0.17930189834660135, + "grad_norm": 0.26109856367111206, + "learning_rate": 4.975975713284426e-06, + "loss": 0.6992, + "step": 366 + }, + { + "epoch": 0.1797917942437232, + "grad_norm": 0.2630729675292969, + "learning_rate": 4.975795032607703e-06, + "loss": 0.7101, + "step": 367 + }, + { + "epoch": 0.18028169014084508, + "grad_norm": 0.28116390109062195, + "learning_rate": 4.9756136783517365e-06, + "loss": 0.6843, + "step": 368 + }, + { + "epoch": 0.18077158603796692, + "grad_norm": 0.26151201128959656, + "learning_rate": 4.975431650565865e-06, + "loss": 0.6973, + "step": 369 + }, + { + "epoch": 0.1812614819350888, + "grad_norm": 0.2683990001678467, + "learning_rate": 4.975248949299613e-06, + "loss": 0.7055, + "step": 370 + }, + { + "epoch": 0.18175137783221065, + "grad_norm": 0.26030197739601135, + "learning_rate": 4.9750655746026875e-06, + "loss": 0.7008, + "step": 371 + }, + { + "epoch": 0.18224127372933252, + "grad_norm": 0.26876166462898254, + "learning_rate": 4.974881526524978e-06, + "loss": 0.694, + "step": 372 + }, + { + "epoch": 0.1827311696264544, + "grad_norm": 0.2684592604637146, + "learning_rate": 4.974696805116558e-06, + "loss": 0.7156, + "step": 373 + }, + { + "epoch": 0.18322106552357623, + "grad_norm": 0.27490681409835815, + "learning_rate": 4.974511410427683e-06, + "loss": 0.6843, + "step": 374 + }, + { + "epoch": 0.1837109614206981, + "grad_norm": 0.2698623239994049, + "learning_rate": 4.974325342508793e-06, + "loss": 0.6917, + "step": 375 + }, + { + "epoch": 0.18420085731781996, + "grad_norm": 0.27144962549209595, + "learning_rate": 4.974138601410513e-06, + "loss": 0.7152, + "step": 376 + }, + { + "epoch": 0.18469075321494183, + "grad_norm": 0.26694294810295105, + "learning_rate": 4.9739511871836454e-06, + "loss": 0.6715, + "step": 377 + }, + { + "epoch": 0.1851806491120637, + "grad_norm": 0.2714312672615051, + "learning_rate": 4.973763099879181e-06, + "loss": 0.6997, + "step": 378 + }, + { + "epoch": 0.18567054500918556, + "grad_norm": 0.27155402302742004, + "learning_rate": 4.973574339548291e-06, + "loss": 0.6609, + "step": 379 + }, + { + "epoch": 0.1861604409063074, + "grad_norm": 0.2687325179576874, + "learning_rate": 4.973384906242332e-06, + "loss": 0.7095, + "step": 380 + }, + { + "epoch": 0.18665033680342927, + "grad_norm": 0.2704453766345978, + "learning_rate": 4.973194800012841e-06, + "loss": 0.6728, + "step": 381 + }, + { + "epoch": 0.18714023270055113, + "grad_norm": 0.2697974145412445, + "learning_rate": 4.973004020911541e-06, + "loss": 0.6817, + "step": 382 + }, + { + "epoch": 0.187630128597673, + "grad_norm": 0.27038195729255676, + "learning_rate": 4.972812568990334e-06, + "loss": 0.69, + "step": 383 + }, + { + "epoch": 0.18812002449479487, + "grad_norm": 0.27607688307762146, + "learning_rate": 4.97262044430131e-06, + "loss": 0.6935, + "step": 384 + }, + { + "epoch": 0.1886099203919167, + "grad_norm": 0.261408269405365, + "learning_rate": 4.972427646896738e-06, + "loss": 0.6641, + "step": 385 + }, + { + "epoch": 0.18909981628903857, + "grad_norm": 0.2864983379840851, + "learning_rate": 4.972234176829072e-06, + "loss": 0.6989, + "step": 386 + }, + { + "epoch": 0.18958971218616044, + "grad_norm": 0.2765742838382721, + "learning_rate": 4.972040034150949e-06, + "loss": 0.6516, + "step": 387 + }, + { + "epoch": 0.1900796080832823, + "grad_norm": 0.27313947677612305, + "learning_rate": 4.9718452189151885e-06, + "loss": 0.722, + "step": 388 + }, + { + "epoch": 0.19056950398040418, + "grad_norm": 0.27086713910102844, + "learning_rate": 4.971649731174793e-06, + "loss": 0.6706, + "step": 389 + }, + { + "epoch": 0.19105939987752601, + "grad_norm": 0.2872767150402069, + "learning_rate": 4.9714535709829475e-06, + "loss": 0.7021, + "step": 390 + }, + { + "epoch": 0.19154929577464788, + "grad_norm": 0.2844785749912262, + "learning_rate": 4.971256738393021e-06, + "loss": 0.6867, + "step": 391 + }, + { + "epoch": 0.19203919167176975, + "grad_norm": 0.2807650864124298, + "learning_rate": 4.971059233458565e-06, + "loss": 0.6744, + "step": 392 + }, + { + "epoch": 0.19252908756889162, + "grad_norm": 0.26693230867385864, + "learning_rate": 4.970861056233314e-06, + "loss": 0.7266, + "step": 393 + }, + { + "epoch": 0.19301898346601348, + "grad_norm": 0.27306389808654785, + "learning_rate": 4.970662206771184e-06, + "loss": 0.6958, + "step": 394 + }, + { + "epoch": 0.19350887936313532, + "grad_norm": 0.2836274802684784, + "learning_rate": 4.9704626851262775e-06, + "loss": 0.699, + "step": 395 + }, + { + "epoch": 0.1939987752602572, + "grad_norm": 0.27907463908195496, + "learning_rate": 4.970262491352875e-06, + "loss": 0.6961, + "step": 396 + }, + { + "epoch": 0.19448867115737906, + "grad_norm": 0.2898431420326233, + "learning_rate": 4.970061625505443e-06, + "loss": 0.6883, + "step": 397 + }, + { + "epoch": 0.19497856705450092, + "grad_norm": 0.2687452435493469, + "learning_rate": 4.969860087638632e-06, + "loss": 0.6499, + "step": 398 + }, + { + "epoch": 0.1954684629516228, + "grad_norm": 0.2855985760688782, + "learning_rate": 4.969657877807271e-06, + "loss": 0.6937, + "step": 399 + }, + { + "epoch": 0.19595835884874463, + "grad_norm": 0.27004674077033997, + "learning_rate": 4.969454996066377e-06, + "loss": 0.6813, + "step": 400 + }, + { + "epoch": 0.1964482547458665, + "grad_norm": 0.2813244163990021, + "learning_rate": 4.969251442471145e-06, + "loss": 0.6907, + "step": 401 + }, + { + "epoch": 0.19693815064298836, + "grad_norm": 0.2692974805831909, + "learning_rate": 4.969047217076956e-06, + "loss": 0.668, + "step": 402 + }, + { + "epoch": 0.19742804654011023, + "grad_norm": 0.2798345983028412, + "learning_rate": 4.968842319939374e-06, + "loss": 0.6637, + "step": 403 + }, + { + "epoch": 0.1979179424372321, + "grad_norm": 0.2649277448654175, + "learning_rate": 4.968636751114141e-06, + "loss": 0.7005, + "step": 404 + }, + { + "epoch": 0.19840783833435394, + "grad_norm": 0.270865261554718, + "learning_rate": 4.968430510657189e-06, + "loss": 0.6985, + "step": 405 + }, + { + "epoch": 0.1988977342314758, + "grad_norm": 0.2828701138496399, + "learning_rate": 4.968223598624625e-06, + "loss": 0.6675, + "step": 406 + }, + { + "epoch": 0.19938763012859767, + "grad_norm": 0.28420430421829224, + "learning_rate": 4.968016015072747e-06, + "loss": 0.7123, + "step": 407 + }, + { + "epoch": 0.19987752602571954, + "grad_norm": 0.2720252573490143, + "learning_rate": 4.967807760058029e-06, + "loss": 0.6612, + "step": 408 + }, + { + "epoch": 0.2003674219228414, + "grad_norm": 0.276832640171051, + "learning_rate": 4.9675988336371305e-06, + "loss": 0.6776, + "step": 409 + }, + { + "epoch": 0.20085731781996327, + "grad_norm": 0.2641506791114807, + "learning_rate": 4.967389235866893e-06, + "loss": 0.6782, + "step": 410 + }, + { + "epoch": 0.2013472137170851, + "grad_norm": 0.2748897969722748, + "learning_rate": 4.967178966804341e-06, + "loss": 0.6945, + "step": 411 + }, + { + "epoch": 0.20183710961420698, + "grad_norm": 0.27730754017829895, + "learning_rate": 4.966968026506683e-06, + "loss": 0.6681, + "step": 412 + }, + { + "epoch": 0.20232700551132884, + "grad_norm": 0.2730098366737366, + "learning_rate": 4.966756415031307e-06, + "loss": 0.7097, + "step": 413 + }, + { + "epoch": 0.2028169014084507, + "grad_norm": 0.26940208673477173, + "learning_rate": 4.9665441324357834e-06, + "loss": 0.6963, + "step": 414 + }, + { + "epoch": 0.20330679730557258, + "grad_norm": 0.28830280900001526, + "learning_rate": 4.9663311787778715e-06, + "loss": 0.6455, + "step": 415 + }, + { + "epoch": 0.20379669320269442, + "grad_norm": 0.2707945704460144, + "learning_rate": 4.966117554115505e-06, + "loss": 0.6781, + "step": 416 + }, + { + "epoch": 0.20428658909981628, + "grad_norm": 0.28427818417549133, + "learning_rate": 4.965903258506806e-06, + "loss": 0.654, + "step": 417 + }, + { + "epoch": 0.20477648499693815, + "grad_norm": 0.26649975776672363, + "learning_rate": 4.965688292010077e-06, + "loss": 0.7078, + "step": 418 + }, + { + "epoch": 0.20526638089406002, + "grad_norm": 0.27190712094306946, + "learning_rate": 4.9654726546838015e-06, + "loss": 0.6648, + "step": 419 + }, + { + "epoch": 0.20575627679118189, + "grad_norm": 0.27658402919769287, + "learning_rate": 4.965256346586648e-06, + "loss": 0.7066, + "step": 420 + }, + { + "epoch": 0.20624617268830372, + "grad_norm": 0.2791120111942291, + "learning_rate": 4.965039367777466e-06, + "loss": 0.6856, + "step": 421 + }, + { + "epoch": 0.2067360685854256, + "grad_norm": 0.27996936440467834, + "learning_rate": 4.964821718315289e-06, + "loss": 0.6779, + "step": 422 + }, + { + "epoch": 0.20722596448254746, + "grad_norm": 0.27422329783439636, + "learning_rate": 4.9646033982593315e-06, + "loss": 0.6641, + "step": 423 + }, + { + "epoch": 0.20771586037966933, + "grad_norm": 0.28245022892951965, + "learning_rate": 4.964384407668991e-06, + "loss": 0.6649, + "step": 424 + }, + { + "epoch": 0.2082057562767912, + "grad_norm": 0.2692187428474426, + "learning_rate": 4.964164746603847e-06, + "loss": 0.6685, + "step": 425 + }, + { + "epoch": 0.20869565217391303, + "grad_norm": 0.27592557668685913, + "learning_rate": 4.963944415123662e-06, + "loss": 0.6436, + "step": 426 + }, + { + "epoch": 0.2091855480710349, + "grad_norm": 0.2831850051879883, + "learning_rate": 4.9637234132883805e-06, + "loss": 0.6738, + "step": 427 + }, + { + "epoch": 0.20967544396815677, + "grad_norm": 0.30106180906295776, + "learning_rate": 4.9635017411581295e-06, + "loss": 0.7092, + "step": 428 + }, + { + "epoch": 0.21016533986527863, + "grad_norm": 0.2780488431453705, + "learning_rate": 4.96327939879322e-06, + "loss": 0.6872, + "step": 429 + }, + { + "epoch": 0.2106552357624005, + "grad_norm": 0.2832487225532532, + "learning_rate": 4.96305638625414e-06, + "loss": 0.6791, + "step": 430 + }, + { + "epoch": 0.21114513165952234, + "grad_norm": 0.27021270990371704, + "learning_rate": 4.962832703601568e-06, + "loss": 0.7024, + "step": 431 + }, + { + "epoch": 0.2116350275566442, + "grad_norm": 0.2906636595726013, + "learning_rate": 4.962608350896357e-06, + "loss": 0.6916, + "step": 432 + }, + { + "epoch": 0.21212492345376607, + "grad_norm": 0.27886664867401123, + "learning_rate": 4.962383328199549e-06, + "loss": 0.6882, + "step": 433 + }, + { + "epoch": 0.21261481935088794, + "grad_norm": 0.2870326638221741, + "learning_rate": 4.962157635572362e-06, + "loss": 0.6775, + "step": 434 + }, + { + "epoch": 0.2131047152480098, + "grad_norm": 0.2815456688404083, + "learning_rate": 4.9619312730762e-06, + "loss": 0.7052, + "step": 435 + }, + { + "epoch": 0.21359461114513165, + "grad_norm": 0.2805708646774292, + "learning_rate": 4.961704240772649e-06, + "loss": 0.6697, + "step": 436 + }, + { + "epoch": 0.2140845070422535, + "grad_norm": 0.29036977887153625, + "learning_rate": 4.961476538723477e-06, + "loss": 0.6859, + "step": 437 + }, + { + "epoch": 0.21457440293937538, + "grad_norm": 0.28320616483688354, + "learning_rate": 4.9612481669906335e-06, + "loss": 0.6502, + "step": 438 + }, + { + "epoch": 0.21506429883649725, + "grad_norm": 0.2814081013202667, + "learning_rate": 4.961019125636251e-06, + "loss": 0.6802, + "step": 439 + }, + { + "epoch": 0.21555419473361911, + "grad_norm": 0.2973114252090454, + "learning_rate": 4.960789414722642e-06, + "loss": 0.6808, + "step": 440 + }, + { + "epoch": 0.21604409063074098, + "grad_norm": 0.28980064392089844, + "learning_rate": 4.960559034312306e-06, + "loss": 0.6619, + "step": 441 + }, + { + "epoch": 0.21653398652786282, + "grad_norm": 0.28697559237480164, + "learning_rate": 4.960327984467919e-06, + "loss": 0.6548, + "step": 442 + }, + { + "epoch": 0.2170238824249847, + "grad_norm": 0.2818733751773834, + "learning_rate": 4.9600962652523435e-06, + "loss": 0.6608, + "step": 443 + }, + { + "epoch": 0.21751377832210655, + "grad_norm": 0.28344979882240295, + "learning_rate": 4.959863876728622e-06, + "loss": 0.6818, + "step": 444 + }, + { + "epoch": 0.21800367421922842, + "grad_norm": 0.277803510427475, + "learning_rate": 4.959630818959979e-06, + "loss": 0.6632, + "step": 445 + }, + { + "epoch": 0.2184935701163503, + "grad_norm": 0.290330708026886, + "learning_rate": 4.9593970920098226e-06, + "loss": 0.7021, + "step": 446 + }, + { + "epoch": 0.21898346601347213, + "grad_norm": 0.2983878254890442, + "learning_rate": 4.9591626959417395e-06, + "loss": 0.645, + "step": 447 + }, + { + "epoch": 0.219473361910594, + "grad_norm": 0.3008386492729187, + "learning_rate": 4.958927630819503e-06, + "loss": 0.6722, + "step": 448 + }, + { + "epoch": 0.21996325780771586, + "grad_norm": 0.29174381494522095, + "learning_rate": 4.9586918967070666e-06, + "loss": 0.7, + "step": 449 + }, + { + "epoch": 0.22045315370483773, + "grad_norm": 0.2773303985595703, + "learning_rate": 4.958455493668565e-06, + "loss": 0.6606, + "step": 450 + }, + { + "epoch": 0.2209430496019596, + "grad_norm": 0.29781636595726013, + "learning_rate": 4.958218421768314e-06, + "loss": 0.673, + "step": 451 + }, + { + "epoch": 0.22143294549908143, + "grad_norm": 0.2792598605155945, + "learning_rate": 4.957980681070814e-06, + "loss": 0.7003, + "step": 452 + }, + { + "epoch": 0.2219228413962033, + "grad_norm": 0.2928924262523651, + "learning_rate": 4.957742271640746e-06, + "loss": 0.6825, + "step": 453 + }, + { + "epoch": 0.22241273729332517, + "grad_norm": 0.2799023985862732, + "learning_rate": 4.957503193542973e-06, + "loss": 0.6808, + "step": 454 + }, + { + "epoch": 0.22290263319044704, + "grad_norm": 0.2886837124824524, + "learning_rate": 4.957263446842541e-06, + "loss": 0.6846, + "step": 455 + }, + { + "epoch": 0.2233925290875689, + "grad_norm": 0.29160356521606445, + "learning_rate": 4.957023031604674e-06, + "loss": 0.6755, + "step": 456 + }, + { + "epoch": 0.22388242498469074, + "grad_norm": 0.29495176672935486, + "learning_rate": 4.956781947894784e-06, + "loss": 0.6744, + "step": 457 + }, + { + "epoch": 0.2243723208818126, + "grad_norm": 0.28703880310058594, + "learning_rate": 4.95654019577846e-06, + "loss": 0.7161, + "step": 458 + }, + { + "epoch": 0.22486221677893448, + "grad_norm": 0.29158130288124084, + "learning_rate": 4.956297775321475e-06, + "loss": 0.6943, + "step": 459 + }, + { + "epoch": 0.22535211267605634, + "grad_norm": 0.2803298234939575, + "learning_rate": 4.956054686589783e-06, + "loss": 0.6823, + "step": 460 + }, + { + "epoch": 0.2258420085731782, + "grad_norm": 0.2935578525066376, + "learning_rate": 4.95581092964952e-06, + "loss": 0.6856, + "step": 461 + }, + { + "epoch": 0.22633190447030005, + "grad_norm": 0.28209394216537476, + "learning_rate": 4.955566504567004e-06, + "loss": 0.693, + "step": 462 + }, + { + "epoch": 0.22682180036742192, + "grad_norm": 0.2914902865886688, + "learning_rate": 4.955321411408735e-06, + "loss": 0.6978, + "step": 463 + }, + { + "epoch": 0.22731169626454378, + "grad_norm": 0.2760421335697174, + "learning_rate": 4.955075650241396e-06, + "loss": 0.6912, + "step": 464 + }, + { + "epoch": 0.22780159216166565, + "grad_norm": 0.2878439724445343, + "learning_rate": 4.954829221131847e-06, + "loss": 0.6973, + "step": 465 + }, + { + "epoch": 0.22829148805878752, + "grad_norm": 0.2849530279636383, + "learning_rate": 4.954582124147135e-06, + "loss": 0.6682, + "step": 466 + }, + { + "epoch": 0.22878138395590936, + "grad_norm": 0.2800678610801697, + "learning_rate": 4.954334359354486e-06, + "loss": 0.6524, + "step": 467 + }, + { + "epoch": 0.22927127985303122, + "grad_norm": 0.2819807231426239, + "learning_rate": 4.954085926821308e-06, + "loss": 0.6899, + "step": 468 + }, + { + "epoch": 0.2297611757501531, + "grad_norm": 0.290926456451416, + "learning_rate": 4.953836826615193e-06, + "loss": 0.6909, + "step": 469 + }, + { + "epoch": 0.23025107164727496, + "grad_norm": 0.2750617265701294, + "learning_rate": 4.953587058803909e-06, + "loss": 0.666, + "step": 470 + }, + { + "epoch": 0.23074096754439682, + "grad_norm": 0.2927756607532501, + "learning_rate": 4.953336623455413e-06, + "loss": 0.6676, + "step": 471 + }, + { + "epoch": 0.23123086344151866, + "grad_norm": 0.2824176549911499, + "learning_rate": 4.953085520637839e-06, + "loss": 0.6479, + "step": 472 + }, + { + "epoch": 0.23172075933864053, + "grad_norm": 0.2902854084968567, + "learning_rate": 4.952833750419502e-06, + "loss": 0.6675, + "step": 473 + }, + { + "epoch": 0.2322106552357624, + "grad_norm": 0.2878444790840149, + "learning_rate": 4.952581312868901e-06, + "loss": 0.6707, + "step": 474 + }, + { + "epoch": 0.23270055113288426, + "grad_norm": 0.29057806730270386, + "learning_rate": 4.952328208054716e-06, + "loss": 0.6931, + "step": 475 + }, + { + "epoch": 0.23319044703000613, + "grad_norm": 0.287222683429718, + "learning_rate": 4.952074436045806e-06, + "loss": 0.6675, + "step": 476 + }, + { + "epoch": 0.233680342927128, + "grad_norm": 0.2918603718280792, + "learning_rate": 4.951819996911217e-06, + "loss": 0.6752, + "step": 477 + }, + { + "epoch": 0.23417023882424984, + "grad_norm": 0.2872229814529419, + "learning_rate": 4.951564890720172e-06, + "loss": 0.6731, + "step": 478 + }, + { + "epoch": 0.2346601347213717, + "grad_norm": 0.28795695304870605, + "learning_rate": 4.951309117542075e-06, + "loss": 0.6798, + "step": 479 + }, + { + "epoch": 0.23515003061849357, + "grad_norm": 0.27824899554252625, + "learning_rate": 4.951052677446515e-06, + "loss": 0.705, + "step": 480 + }, + { + "epoch": 0.23563992651561544, + "grad_norm": 0.2940081059932709, + "learning_rate": 4.95079557050326e-06, + "loss": 0.6721, + "step": 481 + }, + { + "epoch": 0.2361298224127373, + "grad_norm": 0.31432050466537476, + "learning_rate": 4.950537796782261e-06, + "loss": 0.71, + "step": 482 + }, + { + "epoch": 0.23661971830985915, + "grad_norm": 0.28667113184928894, + "learning_rate": 4.950279356353648e-06, + "loss": 0.6781, + "step": 483 + }, + { + "epoch": 0.237109614206981, + "grad_norm": 0.28186243772506714, + "learning_rate": 4.950020249287734e-06, + "loss": 0.689, + "step": 484 + }, + { + "epoch": 0.23759951010410288, + "grad_norm": 0.282751202583313, + "learning_rate": 4.9497604756550134e-06, + "loss": 0.6943, + "step": 485 + }, + { + "epoch": 0.23808940600122475, + "grad_norm": 0.29054197669029236, + "learning_rate": 4.9495000355261625e-06, + "loss": 0.689, + "step": 486 + }, + { + "epoch": 0.2385793018983466, + "grad_norm": 0.28855305910110474, + "learning_rate": 4.949238928972037e-06, + "loss": 0.6566, + "step": 487 + }, + { + "epoch": 0.23906919779546845, + "grad_norm": 0.2937643229961395, + "learning_rate": 4.948977156063675e-06, + "loss": 0.6669, + "step": 488 + }, + { + "epoch": 0.23955909369259032, + "grad_norm": 0.27907466888427734, + "learning_rate": 4.948714716872297e-06, + "loss": 0.6802, + "step": 489 + }, + { + "epoch": 0.2400489895897122, + "grad_norm": 0.29693931341171265, + "learning_rate": 4.948451611469304e-06, + "loss": 0.6874, + "step": 490 + }, + { + "epoch": 0.24053888548683405, + "grad_norm": 0.2904781401157379, + "learning_rate": 4.948187839926276e-06, + "loss": 0.6912, + "step": 491 + }, + { + "epoch": 0.24102878138395592, + "grad_norm": 0.28125911951065063, + "learning_rate": 4.947923402314978e-06, + "loss": 0.6663, + "step": 492 + }, + { + "epoch": 0.24151867728107776, + "grad_norm": 0.3010816276073456, + "learning_rate": 4.947658298707354e-06, + "loss": 0.6784, + "step": 493 + }, + { + "epoch": 0.24200857317819963, + "grad_norm": 0.29629260301589966, + "learning_rate": 4.9473925291755295e-06, + "loss": 0.7006, + "step": 494 + }, + { + "epoch": 0.2424984690753215, + "grad_norm": 0.29816797375679016, + "learning_rate": 4.947126093791812e-06, + "loss": 0.6519, + "step": 495 + }, + { + "epoch": 0.24298836497244336, + "grad_norm": 0.29432323575019836, + "learning_rate": 4.946858992628688e-06, + "loss": 0.7049, + "step": 496 + }, + { + "epoch": 0.24347826086956523, + "grad_norm": 0.2930796444416046, + "learning_rate": 4.946591225758828e-06, + "loss": 0.661, + "step": 497 + }, + { + "epoch": 0.24396815676668707, + "grad_norm": 0.2817651629447937, + "learning_rate": 4.946322793255081e-06, + "loss": 0.6622, + "step": 498 + }, + { + "epoch": 0.24445805266380893, + "grad_norm": 0.28571751713752747, + "learning_rate": 4.946053695190479e-06, + "loss": 0.6726, + "step": 499 + }, + { + "epoch": 0.2449479485609308, + "grad_norm": 0.28773561120033264, + "learning_rate": 4.945783931638235e-06, + "loss": 0.6766, + "step": 500 + }, + { + "epoch": 0.24543784445805267, + "grad_norm": 0.28509920835494995, + "learning_rate": 4.945513502671741e-06, + "loss": 0.6548, + "step": 501 + }, + { + "epoch": 0.24592774035517453, + "grad_norm": 0.28688615560531616, + "learning_rate": 4.9452424083645725e-06, + "loss": 0.6814, + "step": 502 + }, + { + "epoch": 0.24641763625229637, + "grad_norm": 0.3019798994064331, + "learning_rate": 4.9449706487904845e-06, + "loss": 0.6688, + "step": 503 + }, + { + "epoch": 0.24690753214941824, + "grad_norm": 0.2820969521999359, + "learning_rate": 4.944698224023414e-06, + "loss": 0.6696, + "step": 504 + }, + { + "epoch": 0.2473974280465401, + "grad_norm": 0.2863926887512207, + "learning_rate": 4.944425134137478e-06, + "loss": 0.6699, + "step": 505 + }, + { + "epoch": 0.24788732394366197, + "grad_norm": 0.28923314809799194, + "learning_rate": 4.944151379206976e-06, + "loss": 0.6594, + "step": 506 + }, + { + "epoch": 0.24837721984078384, + "grad_norm": 0.29417911171913147, + "learning_rate": 4.943876959306386e-06, + "loss": 0.6771, + "step": 507 + }, + { + "epoch": 0.2488671157379057, + "grad_norm": 0.3137289881706238, + "learning_rate": 4.943601874510369e-06, + "loss": 0.6995, + "step": 508 + }, + { + "epoch": 0.24935701163502755, + "grad_norm": 0.2851713001728058, + "learning_rate": 4.9433261248937655e-06, + "loss": 0.6397, + "step": 509 + }, + { + "epoch": 0.24984690753214941, + "grad_norm": 0.3067043125629425, + "learning_rate": 4.943049710531599e-06, + "loss": 0.6696, + "step": 510 + }, + { + "epoch": 0.2503368034292713, + "grad_norm": 0.28277942538261414, + "learning_rate": 4.942772631499071e-06, + "loss": 0.6852, + "step": 511 + }, + { + "epoch": 0.2508266993263931, + "grad_norm": 0.2837325930595398, + "learning_rate": 4.942494887871565e-06, + "loss": 0.7028, + "step": 512 + }, + { + "epoch": 0.251316595223515, + "grad_norm": 0.28493350744247437, + "learning_rate": 4.942216479724647e-06, + "loss": 0.6616, + "step": 513 + }, + { + "epoch": 0.25180649112063686, + "grad_norm": 0.28880465030670166, + "learning_rate": 4.941937407134061e-06, + "loss": 0.6609, + "step": 514 + }, + { + "epoch": 0.25229638701775875, + "grad_norm": 0.29091018438339233, + "learning_rate": 4.941657670175734e-06, + "loss": 0.6714, + "step": 515 + }, + { + "epoch": 0.2527862829148806, + "grad_norm": 0.32527679204940796, + "learning_rate": 4.941377268925773e-06, + "loss": 0.6783, + "step": 516 + }, + { + "epoch": 0.25327617881200243, + "grad_norm": 0.31313812732696533, + "learning_rate": 4.941096203460465e-06, + "loss": 0.7043, + "step": 517 + }, + { + "epoch": 0.2537660747091243, + "grad_norm": 0.29403164982795715, + "learning_rate": 4.940814473856278e-06, + "loss": 0.678, + "step": 518 + }, + { + "epoch": 0.25425597060624616, + "grad_norm": 0.2897968590259552, + "learning_rate": 4.9405320801898615e-06, + "loss": 0.6726, + "step": 519 + }, + { + "epoch": 0.25474586650336806, + "grad_norm": 0.3000484108924866, + "learning_rate": 4.940249022538045e-06, + "loss": 0.6736, + "step": 520 + }, + { + "epoch": 0.2552357624004899, + "grad_norm": 0.3161175847053528, + "learning_rate": 4.9399653009778394e-06, + "loss": 0.6713, + "step": 521 + }, + { + "epoch": 0.25572565829761174, + "grad_norm": 0.30063289403915405, + "learning_rate": 4.9396809155864354e-06, + "loss": 0.6839, + "step": 522 + }, + { + "epoch": 0.25621555419473363, + "grad_norm": 0.3286581337451935, + "learning_rate": 4.939395866441204e-06, + "loss": 0.6747, + "step": 523 + }, + { + "epoch": 0.25670545009185547, + "grad_norm": 0.3079366087913513, + "learning_rate": 4.9391101536196975e-06, + "loss": 0.691, + "step": 524 + }, + { + "epoch": 0.25719534598897736, + "grad_norm": 0.30219361186027527, + "learning_rate": 4.938823777199649e-06, + "loss": 0.7159, + "step": 525 + }, + { + "epoch": 0.2576852418860992, + "grad_norm": 0.3035431206226349, + "learning_rate": 4.938536737258972e-06, + "loss": 0.6961, + "step": 526 + }, + { + "epoch": 0.25817513778322104, + "grad_norm": 0.29658591747283936, + "learning_rate": 4.938249033875759e-06, + "loss": 0.6925, + "step": 527 + }, + { + "epoch": 0.25866503368034294, + "grad_norm": 0.3085661232471466, + "learning_rate": 4.937960667128285e-06, + "loss": 0.6447, + "step": 528 + }, + { + "epoch": 0.2591549295774648, + "grad_norm": 0.30884072184562683, + "learning_rate": 4.9376716370950054e-06, + "loss": 0.6899, + "step": 529 + }, + { + "epoch": 0.25964482547458667, + "grad_norm": 0.30775752663612366, + "learning_rate": 4.937381943854554e-06, + "loss": 0.6918, + "step": 530 + }, + { + "epoch": 0.2601347213717085, + "grad_norm": 0.2908138930797577, + "learning_rate": 4.937091587485749e-06, + "loss": 0.691, + "step": 531 + }, + { + "epoch": 0.26062461726883035, + "grad_norm": 0.31106460094451904, + "learning_rate": 4.9368005680675825e-06, + "loss": 0.6864, + "step": 532 + }, + { + "epoch": 0.26111451316595224, + "grad_norm": 0.33596447110176086, + "learning_rate": 4.936508885679234e-06, + "loss": 0.6663, + "step": 533 + }, + { + "epoch": 0.2616044090630741, + "grad_norm": 0.30692586302757263, + "learning_rate": 4.936216540400059e-06, + "loss": 0.6774, + "step": 534 + }, + { + "epoch": 0.262094304960196, + "grad_norm": 0.30321234464645386, + "learning_rate": 4.935923532309596e-06, + "loss": 0.6516, + "step": 535 + }, + { + "epoch": 0.2625842008573178, + "grad_norm": 0.29872727394104004, + "learning_rate": 4.935629861487561e-06, + "loss": 0.6467, + "step": 536 + }, + { + "epoch": 0.26307409675443966, + "grad_norm": 0.3029206097126007, + "learning_rate": 4.9353355280138525e-06, + "loss": 0.6683, + "step": 537 + }, + { + "epoch": 0.26356399265156155, + "grad_norm": 0.2922782897949219, + "learning_rate": 4.935040531968548e-06, + "loss": 0.6554, + "step": 538 + }, + { + "epoch": 0.2640538885486834, + "grad_norm": 0.3034957945346832, + "learning_rate": 4.934744873431907e-06, + "loss": 0.6924, + "step": 539 + }, + { + "epoch": 0.2645437844458053, + "grad_norm": 0.28574198484420776, + "learning_rate": 4.934448552484367e-06, + "loss": 0.6931, + "step": 540 + }, + { + "epoch": 0.2650336803429271, + "grad_norm": 0.31014350056648254, + "learning_rate": 4.934151569206548e-06, + "loss": 0.677, + "step": 541 + }, + { + "epoch": 0.26552357624004896, + "grad_norm": 0.29660624265670776, + "learning_rate": 4.933853923679247e-06, + "loss": 0.6425, + "step": 542 + }, + { + "epoch": 0.26601347213717086, + "grad_norm": 0.3027561604976654, + "learning_rate": 4.933555615983445e-06, + "loss": 0.706, + "step": 543 + }, + { + "epoch": 0.2665033680342927, + "grad_norm": 0.3137056827545166, + "learning_rate": 4.933256646200301e-06, + "loss": 0.6832, + "step": 544 + }, + { + "epoch": 0.2669932639314146, + "grad_norm": 0.300325483083725, + "learning_rate": 4.9329570144111525e-06, + "loss": 0.6648, + "step": 545 + }, + { + "epoch": 0.26748315982853643, + "grad_norm": 0.29390445351600647, + "learning_rate": 4.932656720697523e-06, + "loss": 0.688, + "step": 546 + }, + { + "epoch": 0.26797305572565827, + "grad_norm": 0.3029269874095917, + "learning_rate": 4.932355765141108e-06, + "loss": 0.6781, + "step": 547 + }, + { + "epoch": 0.26846295162278017, + "grad_norm": 0.30967509746551514, + "learning_rate": 4.932054147823791e-06, + "loss": 0.6786, + "step": 548 + }, + { + "epoch": 0.268952847519902, + "grad_norm": 0.30142655968666077, + "learning_rate": 4.9317518688276285e-06, + "loss": 0.6964, + "step": 549 + }, + { + "epoch": 0.2694427434170239, + "grad_norm": 0.3007182776927948, + "learning_rate": 4.931448928234862e-06, + "loss": 0.6662, + "step": 550 + }, + { + "epoch": 0.26993263931414574, + "grad_norm": 0.29471781849861145, + "learning_rate": 4.931145326127911e-06, + "loss": 0.698, + "step": 551 + }, + { + "epoch": 0.2704225352112676, + "grad_norm": 0.30415260791778564, + "learning_rate": 4.930841062589375e-06, + "loss": 0.7043, + "step": 552 + }, + { + "epoch": 0.2709124311083895, + "grad_norm": 0.3111327290534973, + "learning_rate": 4.930536137702034e-06, + "loss": 0.7016, + "step": 553 + }, + { + "epoch": 0.2714023270055113, + "grad_norm": 0.3104318082332611, + "learning_rate": 4.930230551548848e-06, + "loss": 0.7092, + "step": 554 + }, + { + "epoch": 0.2718922229026332, + "grad_norm": 0.3054961562156677, + "learning_rate": 4.929924304212956e-06, + "loss": 0.658, + "step": 555 + }, + { + "epoch": 0.27238211879975505, + "grad_norm": 0.31626299023628235, + "learning_rate": 4.929617395777678e-06, + "loss": 0.684, + "step": 556 + }, + { + "epoch": 0.27287201469687694, + "grad_norm": 0.30073830485343933, + "learning_rate": 4.929309826326512e-06, + "loss": 0.6749, + "step": 557 + }, + { + "epoch": 0.2733619105939988, + "grad_norm": 0.30198878049850464, + "learning_rate": 4.929001595943138e-06, + "loss": 0.659, + "step": 558 + }, + { + "epoch": 0.2738518064911206, + "grad_norm": 0.3132243752479553, + "learning_rate": 4.928692704711416e-06, + "loss": 0.6918, + "step": 559 + }, + { + "epoch": 0.2743417023882425, + "grad_norm": 0.3196859359741211, + "learning_rate": 4.928383152715383e-06, + "loss": 0.6748, + "step": 560 + }, + { + "epoch": 0.27483159828536435, + "grad_norm": 0.2999397814273834, + "learning_rate": 4.928072940039258e-06, + "loss": 0.6835, + "step": 561 + }, + { + "epoch": 0.27532149418248625, + "grad_norm": 0.3084956705570221, + "learning_rate": 4.92776206676744e-06, + "loss": 0.6781, + "step": 562 + }, + { + "epoch": 0.2758113900796081, + "grad_norm": 0.3060546815395355, + "learning_rate": 4.927450532984507e-06, + "loss": 0.6698, + "step": 563 + }, + { + "epoch": 0.2763012859767299, + "grad_norm": 0.2978016138076782, + "learning_rate": 4.9271383387752145e-06, + "loss": 0.6748, + "step": 564 + }, + { + "epoch": 0.2767911818738518, + "grad_norm": 0.3078594505786896, + "learning_rate": 4.926825484224503e-06, + "loss": 0.6964, + "step": 565 + }, + { + "epoch": 0.27728107777097366, + "grad_norm": 0.30537673830986023, + "learning_rate": 4.926511969417488e-06, + "loss": 0.6821, + "step": 566 + }, + { + "epoch": 0.27777097366809556, + "grad_norm": 0.2968599200248718, + "learning_rate": 4.926197794439466e-06, + "loss": 0.6922, + "step": 567 + }, + { + "epoch": 0.2782608695652174, + "grad_norm": 0.3004016876220703, + "learning_rate": 4.9258829593759135e-06, + "loss": 0.6586, + "step": 568 + }, + { + "epoch": 0.27875076546233923, + "grad_norm": 0.2979053854942322, + "learning_rate": 4.925567464312487e-06, + "loss": 0.6963, + "step": 569 + }, + { + "epoch": 0.27924066135946113, + "grad_norm": 0.309206485748291, + "learning_rate": 4.9252513093350206e-06, + "loss": 0.6728, + "step": 570 + }, + { + "epoch": 0.27973055725658297, + "grad_norm": 0.2939196228981018, + "learning_rate": 4.924934494529531e-06, + "loss": 0.6411, + "step": 571 + }, + { + "epoch": 0.28022045315370486, + "grad_norm": 0.30378228425979614, + "learning_rate": 4.92461701998221e-06, + "loss": 0.6868, + "step": 572 + }, + { + "epoch": 0.2807103490508267, + "grad_norm": 0.2925695478916168, + "learning_rate": 4.924298885779435e-06, + "loss": 0.6987, + "step": 573 + }, + { + "epoch": 0.28120024494794854, + "grad_norm": 0.29253894090652466, + "learning_rate": 4.923980092007757e-06, + "loss": 0.6548, + "step": 574 + }, + { + "epoch": 0.28169014084507044, + "grad_norm": 0.30530020594596863, + "learning_rate": 4.923660638753911e-06, + "loss": 0.6667, + "step": 575 + }, + { + "epoch": 0.2821800367421923, + "grad_norm": 0.2993137240409851, + "learning_rate": 4.9233405261048066e-06, + "loss": 0.657, + "step": 576 + }, + { + "epoch": 0.28266993263931417, + "grad_norm": 0.3004169464111328, + "learning_rate": 4.923019754147537e-06, + "loss": 0.6751, + "step": 577 + }, + { + "epoch": 0.283159828536436, + "grad_norm": 0.3030836880207062, + "learning_rate": 4.922698322969372e-06, + "loss": 0.6605, + "step": 578 + }, + { + "epoch": 0.28364972443355785, + "grad_norm": 0.3000795841217041, + "learning_rate": 4.922376232657765e-06, + "loss": 0.7048, + "step": 579 + }, + { + "epoch": 0.28413962033067974, + "grad_norm": 0.3051553964614868, + "learning_rate": 4.922053483300343e-06, + "loss": 0.6613, + "step": 580 + }, + { + "epoch": 0.2846295162278016, + "grad_norm": 0.2963907718658447, + "learning_rate": 4.9217300749849175e-06, + "loss": 0.6541, + "step": 581 + }, + { + "epoch": 0.2851194121249235, + "grad_norm": 0.3138301968574524, + "learning_rate": 4.921406007799474e-06, + "loss": 0.6408, + "step": 582 + }, + { + "epoch": 0.2856093080220453, + "grad_norm": 0.292310893535614, + "learning_rate": 4.9210812818321814e-06, + "loss": 0.6784, + "step": 583 + }, + { + "epoch": 0.28609920391916716, + "grad_norm": 0.30917978286743164, + "learning_rate": 4.920755897171388e-06, + "loss": 0.679, + "step": 584 + }, + { + "epoch": 0.28658909981628905, + "grad_norm": 0.30815809965133667, + "learning_rate": 4.920429853905617e-06, + "loss": 0.669, + "step": 585 + }, + { + "epoch": 0.2870789957134109, + "grad_norm": 0.3038373589515686, + "learning_rate": 4.920103152123576e-06, + "loss": 0.6818, + "step": 586 + }, + { + "epoch": 0.2875688916105328, + "grad_norm": 0.3149436414241791, + "learning_rate": 4.919775791914148e-06, + "loss": 0.6871, + "step": 587 + }, + { + "epoch": 0.2880587875076546, + "grad_norm": 0.29806646704673767, + "learning_rate": 4.919447773366397e-06, + "loss": 0.6504, + "step": 588 + }, + { + "epoch": 0.28854868340477646, + "grad_norm": 0.29603317379951477, + "learning_rate": 4.919119096569567e-06, + "loss": 0.6709, + "step": 589 + }, + { + "epoch": 0.28903857930189836, + "grad_norm": 0.29373258352279663, + "learning_rate": 4.918789761613076e-06, + "loss": 0.6673, + "step": 590 + }, + { + "epoch": 0.2895284751990202, + "grad_norm": 0.3051702380180359, + "learning_rate": 4.91845976858653e-06, + "loss": 0.652, + "step": 591 + }, + { + "epoch": 0.2900183710961421, + "grad_norm": 0.3097754120826721, + "learning_rate": 4.918129117579704e-06, + "loss": 0.6782, + "step": 592 + }, + { + "epoch": 0.29050826699326393, + "grad_norm": 0.29908713698387146, + "learning_rate": 4.91779780868256e-06, + "loss": 0.6467, + "step": 593 + }, + { + "epoch": 0.29099816289038577, + "grad_norm": 0.30273228883743286, + "learning_rate": 4.917465841985234e-06, + "loss": 0.6372, + "step": 594 + }, + { + "epoch": 0.29148805878750766, + "grad_norm": 0.32377082109451294, + "learning_rate": 4.917133217578044e-06, + "loss": 0.7058, + "step": 595 + }, + { + "epoch": 0.2919779546846295, + "grad_norm": 0.31425973773002625, + "learning_rate": 4.916799935551485e-06, + "loss": 0.6975, + "step": 596 + }, + { + "epoch": 0.2924678505817514, + "grad_norm": 0.2944108247756958, + "learning_rate": 4.916465995996232e-06, + "loss": 0.6974, + "step": 597 + }, + { + "epoch": 0.29295774647887324, + "grad_norm": 0.3176249861717224, + "learning_rate": 4.916131399003139e-06, + "loss": 0.6825, + "step": 598 + }, + { + "epoch": 0.2934476423759951, + "grad_norm": 0.3081783950328827, + "learning_rate": 4.915796144663236e-06, + "loss": 0.6493, + "step": 599 + }, + { + "epoch": 0.29393753827311697, + "grad_norm": 0.3036037087440491, + "learning_rate": 4.915460233067738e-06, + "loss": 0.6487, + "step": 600 + }, + { + "epoch": 0.2944274341702388, + "grad_norm": 0.30290353298187256, + "learning_rate": 4.915123664308032e-06, + "loss": 0.6779, + "step": 601 + }, + { + "epoch": 0.2949173300673607, + "grad_norm": 0.3099123239517212, + "learning_rate": 4.9147864384756895e-06, + "loss": 0.6716, + "step": 602 + }, + { + "epoch": 0.29540722596448254, + "grad_norm": 0.29497596621513367, + "learning_rate": 4.914448555662455e-06, + "loss": 0.6712, + "step": 603 + }, + { + "epoch": 0.2958971218616044, + "grad_norm": 0.30663248896598816, + "learning_rate": 4.914110015960258e-06, + "loss": 0.656, + "step": 604 + }, + { + "epoch": 0.2963870177587263, + "grad_norm": 0.3016858994960785, + "learning_rate": 4.913770819461201e-06, + "loss": 0.6637, + "step": 605 + }, + { + "epoch": 0.2968769136558481, + "grad_norm": 0.3061820864677429, + "learning_rate": 4.913430966257569e-06, + "loss": 0.7025, + "step": 606 + }, + { + "epoch": 0.29736680955297, + "grad_norm": 0.31017857789993286, + "learning_rate": 4.913090456441826e-06, + "loss": 0.6858, + "step": 607 + }, + { + "epoch": 0.29785670545009185, + "grad_norm": 0.3078562319278717, + "learning_rate": 4.9127492901066095e-06, + "loss": 0.6884, + "step": 608 + }, + { + "epoch": 0.2983466013472137, + "grad_norm": 0.29675593972206116, + "learning_rate": 4.912407467344742e-06, + "loss": 0.6452, + "step": 609 + }, + { + "epoch": 0.2988364972443356, + "grad_norm": 0.3073781430721283, + "learning_rate": 4.9120649882492195e-06, + "loss": 0.6797, + "step": 610 + }, + { + "epoch": 0.2993263931414574, + "grad_norm": 0.3066023588180542, + "learning_rate": 4.911721852913223e-06, + "loss": 0.6618, + "step": 611 + }, + { + "epoch": 0.2998162890385793, + "grad_norm": 0.3042829930782318, + "learning_rate": 4.911378061430103e-06, + "loss": 0.6489, + "step": 612 + }, + { + "epoch": 0.30030618493570116, + "grad_norm": 0.2988530695438385, + "learning_rate": 4.911033613893397e-06, + "loss": 0.6994, + "step": 613 + }, + { + "epoch": 0.300796080832823, + "grad_norm": 0.31692102551460266, + "learning_rate": 4.910688510396815e-06, + "loss": 0.6698, + "step": 614 + }, + { + "epoch": 0.3012859767299449, + "grad_norm": 0.30138760805130005, + "learning_rate": 4.91034275103425e-06, + "loss": 0.652, + "step": 615 + }, + { + "epoch": 0.30177587262706673, + "grad_norm": 0.3250851035118103, + "learning_rate": 4.909996335899768e-06, + "loss": 0.6551, + "step": 616 + }, + { + "epoch": 0.3022657685241886, + "grad_norm": 0.31239888072013855, + "learning_rate": 4.909649265087621e-06, + "loss": 0.6676, + "step": 617 + }, + { + "epoch": 0.30275566442131047, + "grad_norm": 0.30099815130233765, + "learning_rate": 4.909301538692233e-06, + "loss": 0.6777, + "step": 618 + }, + { + "epoch": 0.3032455603184323, + "grad_norm": 0.3122364282608032, + "learning_rate": 4.908953156808207e-06, + "loss": 0.658, + "step": 619 + }, + { + "epoch": 0.3037354562155542, + "grad_norm": 0.3116292357444763, + "learning_rate": 4.908604119530328e-06, + "loss": 0.6574, + "step": 620 + }, + { + "epoch": 0.30422535211267604, + "grad_norm": 0.30465927720069885, + "learning_rate": 4.908254426953557e-06, + "loss": 0.6238, + "step": 621 + }, + { + "epoch": 0.30471524800979793, + "grad_norm": 0.3098441958427429, + "learning_rate": 4.907904079173033e-06, + "loss": 0.6996, + "step": 622 + }, + { + "epoch": 0.3052051439069198, + "grad_norm": 0.3130321502685547, + "learning_rate": 4.907553076284073e-06, + "loss": 0.6849, + "step": 623 + }, + { + "epoch": 0.30569503980404167, + "grad_norm": 0.31285127997398376, + "learning_rate": 4.907201418382174e-06, + "loss": 0.6887, + "step": 624 + }, + { + "epoch": 0.3061849357011635, + "grad_norm": 0.3078165650367737, + "learning_rate": 4.906849105563008e-06, + "loss": 0.6516, + "step": 625 + }, + { + "epoch": 0.30667483159828535, + "grad_norm": 0.30509424209594727, + "learning_rate": 4.906496137922429e-06, + "loss": 0.6655, + "step": 626 + }, + { + "epoch": 0.30716472749540724, + "grad_norm": 0.30886662006378174, + "learning_rate": 4.906142515556469e-06, + "loss": 0.6742, + "step": 627 + }, + { + "epoch": 0.3076546233925291, + "grad_norm": 0.30892255902290344, + "learning_rate": 4.905788238561333e-06, + "loss": 0.6623, + "step": 628 + }, + { + "epoch": 0.308144519289651, + "grad_norm": 0.3067830502986908, + "learning_rate": 4.905433307033411e-06, + "loss": 0.6616, + "step": 629 + }, + { + "epoch": 0.3086344151867728, + "grad_norm": 0.3024778962135315, + "learning_rate": 4.905077721069265e-06, + "loss": 0.6747, + "step": 630 + }, + { + "epoch": 0.30912431108389465, + "grad_norm": 0.3080230951309204, + "learning_rate": 4.90472148076564e-06, + "loss": 0.6855, + "step": 631 + }, + { + "epoch": 0.30961420698101655, + "grad_norm": 0.3134588897228241, + "learning_rate": 4.9043645862194545e-06, + "loss": 0.6981, + "step": 632 + }, + { + "epoch": 0.3101041028781384, + "grad_norm": 0.3064582049846649, + "learning_rate": 4.904007037527809e-06, + "loss": 0.6902, + "step": 633 + }, + { + "epoch": 0.3105939987752603, + "grad_norm": 0.3072272837162018, + "learning_rate": 4.903648834787981e-06, + "loss": 0.6876, + "step": 634 + }, + { + "epoch": 0.3110838946723821, + "grad_norm": 0.31387409567832947, + "learning_rate": 4.903289978097423e-06, + "loss": 0.6981, + "step": 635 + }, + { + "epoch": 0.31157379056950396, + "grad_norm": 0.30770981311798096, + "learning_rate": 4.90293046755377e-06, + "loss": 0.6514, + "step": 636 + }, + { + "epoch": 0.31206368646662586, + "grad_norm": 0.2999817132949829, + "learning_rate": 4.90257030325483e-06, + "loss": 0.6645, + "step": 637 + }, + { + "epoch": 0.3125535823637477, + "grad_norm": 0.3214426636695862, + "learning_rate": 4.9022094852985925e-06, + "loss": 0.6754, + "step": 638 + }, + { + "epoch": 0.3130434782608696, + "grad_norm": 0.3216695487499237, + "learning_rate": 4.901848013783225e-06, + "loss": 0.6642, + "step": 639 + }, + { + "epoch": 0.31353337415799143, + "grad_norm": 0.3139570355415344, + "learning_rate": 4.901485888807069e-06, + "loss": 0.6535, + "step": 640 + }, + { + "epoch": 0.31402327005511327, + "grad_norm": 0.3131052851676941, + "learning_rate": 4.9011231104686495e-06, + "loss": 0.6743, + "step": 641 + }, + { + "epoch": 0.31451316595223516, + "grad_norm": 0.2983650863170624, + "learning_rate": 4.900759678866663e-06, + "loss": 0.6808, + "step": 642 + }, + { + "epoch": 0.315003061849357, + "grad_norm": 0.31281766295433044, + "learning_rate": 4.90039559409999e-06, + "loss": 0.6625, + "step": 643 + }, + { + "epoch": 0.3154929577464789, + "grad_norm": 0.3253592550754547, + "learning_rate": 4.9000308562676825e-06, + "loss": 0.6513, + "step": 644 + }, + { + "epoch": 0.31598285364360074, + "grad_norm": 0.3129440248012543, + "learning_rate": 4.8996654654689745e-06, + "loss": 0.6746, + "step": 645 + }, + { + "epoch": 0.3164727495407226, + "grad_norm": 0.3100399971008301, + "learning_rate": 4.899299421803277e-06, + "loss": 0.6788, + "step": 646 + }, + { + "epoch": 0.31696264543784447, + "grad_norm": 0.3134135901927948, + "learning_rate": 4.898932725370177e-06, + "loss": 0.667, + "step": 647 + }, + { + "epoch": 0.3174525413349663, + "grad_norm": 0.2989857792854309, + "learning_rate": 4.898565376269439e-06, + "loss": 0.6549, + "step": 648 + }, + { + "epoch": 0.3179424372320882, + "grad_norm": 0.307166188955307, + "learning_rate": 4.89819737460101e-06, + "loss": 0.6819, + "step": 649 + }, + { + "epoch": 0.31843233312921004, + "grad_norm": 0.3121511936187744, + "learning_rate": 4.897828720465007e-06, + "loss": 0.6865, + "step": 650 + }, + { + "epoch": 0.3189222290263319, + "grad_norm": 0.3052747845649719, + "learning_rate": 4.897459413961729e-06, + "loss": 0.6588, + "step": 651 + }, + { + "epoch": 0.3194121249234538, + "grad_norm": 0.3178597688674927, + "learning_rate": 4.897089455191653e-06, + "loss": 0.6671, + "step": 652 + }, + { + "epoch": 0.3199020208205756, + "grad_norm": 0.3084629476070404, + "learning_rate": 4.896718844255431e-06, + "loss": 0.6698, + "step": 653 + }, + { + "epoch": 0.3203919167176975, + "grad_norm": 0.32827791571617126, + "learning_rate": 4.896347581253893e-06, + "loss": 0.667, + "step": 654 + }, + { + "epoch": 0.32088181261481935, + "grad_norm": 0.3143371641635895, + "learning_rate": 4.895975666288048e-06, + "loss": 0.6646, + "step": 655 + }, + { + "epoch": 0.3213717085119412, + "grad_norm": 0.3030723035335541, + "learning_rate": 4.8956030994590805e-06, + "loss": 0.6569, + "step": 656 + }, + { + "epoch": 0.3218616044090631, + "grad_norm": 0.313111275434494, + "learning_rate": 4.8952298808683554e-06, + "loss": 0.6601, + "step": 657 + }, + { + "epoch": 0.3223515003061849, + "grad_norm": 0.33992889523506165, + "learning_rate": 4.894856010617411e-06, + "loss": 0.6966, + "step": 658 + }, + { + "epoch": 0.3228413962033068, + "grad_norm": 0.31487035751342773, + "learning_rate": 4.894481488807964e-06, + "loss": 0.6819, + "step": 659 + }, + { + "epoch": 0.32333129210042866, + "grad_norm": 0.30711787939071655, + "learning_rate": 4.894106315541909e-06, + "loss": 0.6497, + "step": 660 + }, + { + "epoch": 0.3238211879975505, + "grad_norm": 0.30664297938346863, + "learning_rate": 4.89373049092132e-06, + "loss": 0.6343, + "step": 661 + }, + { + "epoch": 0.3243110838946724, + "grad_norm": 0.32928934693336487, + "learning_rate": 4.893354015048444e-06, + "loss": 0.6819, + "step": 662 + }, + { + "epoch": 0.32480097979179423, + "grad_norm": 0.3158688545227051, + "learning_rate": 4.892976888025708e-06, + "loss": 0.671, + "step": 663 + }, + { + "epoch": 0.3252908756889161, + "grad_norm": 0.311565101146698, + "learning_rate": 4.892599109955715e-06, + "loss": 0.6619, + "step": 664 + }, + { + "epoch": 0.32578077158603796, + "grad_norm": 0.317327082157135, + "learning_rate": 4.892220680941247e-06, + "loss": 0.6821, + "step": 665 + }, + { + "epoch": 0.3262706674831598, + "grad_norm": 0.32189080119132996, + "learning_rate": 4.891841601085259e-06, + "loss": 0.6384, + "step": 666 + }, + { + "epoch": 0.3267605633802817, + "grad_norm": 0.3046722412109375, + "learning_rate": 4.891461870490887e-06, + "loss": 0.673, + "step": 667 + }, + { + "epoch": 0.32725045927740354, + "grad_norm": 0.31418314576148987, + "learning_rate": 4.891081489261443e-06, + "loss": 0.6604, + "step": 668 + }, + { + "epoch": 0.32774035517452543, + "grad_norm": 0.31496915221214294, + "learning_rate": 4.890700457500416e-06, + "loss": 0.6448, + "step": 669 + }, + { + "epoch": 0.32823025107164727, + "grad_norm": 0.3126322329044342, + "learning_rate": 4.890318775311471e-06, + "loss": 0.6533, + "step": 670 + }, + { + "epoch": 0.3287201469687691, + "grad_norm": 0.305670827627182, + "learning_rate": 4.889936442798451e-06, + "loss": 0.64, + "step": 671 + }, + { + "epoch": 0.329210042865891, + "grad_norm": 0.32083502411842346, + "learning_rate": 4.889553460065375e-06, + "loss": 0.6648, + "step": 672 + }, + { + "epoch": 0.32969993876301285, + "grad_norm": 0.30888432264328003, + "learning_rate": 4.88916982721644e-06, + "loss": 0.6468, + "step": 673 + }, + { + "epoch": 0.33018983466013474, + "grad_norm": 0.3246508836746216, + "learning_rate": 4.88878554435602e-06, + "loss": 0.6956, + "step": 674 + }, + { + "epoch": 0.3306797305572566, + "grad_norm": 0.31742051243782043, + "learning_rate": 4.888400611588664e-06, + "loss": 0.6581, + "step": 675 + }, + { + "epoch": 0.3311696264543784, + "grad_norm": 0.2962053716182709, + "learning_rate": 4.8880150290191e-06, + "loss": 0.6419, + "step": 676 + }, + { + "epoch": 0.3316595223515003, + "grad_norm": 0.302521675825119, + "learning_rate": 4.887628796752232e-06, + "loss": 0.6541, + "step": 677 + }, + { + "epoch": 0.33214941824862215, + "grad_norm": 0.3055395483970642, + "learning_rate": 4.88724191489314e-06, + "loss": 0.657, + "step": 678 + }, + { + "epoch": 0.33263931414574405, + "grad_norm": 0.3162010908126831, + "learning_rate": 4.886854383547081e-06, + "loss": 0.6679, + "step": 679 + }, + { + "epoch": 0.3331292100428659, + "grad_norm": 0.3197442591190338, + "learning_rate": 4.88646620281949e-06, + "loss": 0.6334, + "step": 680 + }, + { + "epoch": 0.3336191059399877, + "grad_norm": 0.3153987228870392, + "learning_rate": 4.8860773728159775e-06, + "loss": 0.6522, + "step": 681 + }, + { + "epoch": 0.3341090018371096, + "grad_norm": 0.32448455691337585, + "learning_rate": 4.885687893642329e-06, + "loss": 0.6632, + "step": 682 + }, + { + "epoch": 0.33459889773423146, + "grad_norm": 0.31581366062164307, + "learning_rate": 4.885297765404512e-06, + "loss": 0.6734, + "step": 683 + }, + { + "epoch": 0.33508879363135335, + "grad_norm": 0.32606983184814453, + "learning_rate": 4.884906988208664e-06, + "loss": 0.6559, + "step": 684 + }, + { + "epoch": 0.3355786895284752, + "grad_norm": 0.3181923031806946, + "learning_rate": 4.884515562161104e-06, + "loss": 0.6753, + "step": 685 + }, + { + "epoch": 0.3360685854255971, + "grad_norm": 0.29703840613365173, + "learning_rate": 4.884123487368324e-06, + "loss": 0.6682, + "step": 686 + }, + { + "epoch": 0.3365584813227189, + "grad_norm": 0.30182990431785583, + "learning_rate": 4.8837307639369966e-06, + "loss": 0.6391, + "step": 687 + }, + { + "epoch": 0.33704837721984077, + "grad_norm": 0.3200860917568207, + "learning_rate": 4.883337391973966e-06, + "loss": 0.6768, + "step": 688 + }, + { + "epoch": 0.33753827311696266, + "grad_norm": 0.29847651720046997, + "learning_rate": 4.882943371586256e-06, + "loss": 0.6144, + "step": 689 + }, + { + "epoch": 0.3380281690140845, + "grad_norm": 0.3135667145252228, + "learning_rate": 4.882548702881067e-06, + "loss": 0.6512, + "step": 690 + }, + { + "epoch": 0.3385180649112064, + "grad_norm": 0.2976519465446472, + "learning_rate": 4.882153385965774e-06, + "loss": 0.6572, + "step": 691 + }, + { + "epoch": 0.33900796080832823, + "grad_norm": 0.3228099048137665, + "learning_rate": 4.881757420947928e-06, + "loss": 0.6546, + "step": 692 + }, + { + "epoch": 0.3394978567054501, + "grad_norm": 0.3073636293411255, + "learning_rate": 4.88136080793526e-06, + "loss": 0.6427, + "step": 693 + }, + { + "epoch": 0.33998775260257197, + "grad_norm": 0.3015718162059784, + "learning_rate": 4.880963547035674e-06, + "loss": 0.6581, + "step": 694 + }, + { + "epoch": 0.3404776484996938, + "grad_norm": 0.30982354283332825, + "learning_rate": 4.88056563835725e-06, + "loss": 0.6349, + "step": 695 + }, + { + "epoch": 0.3409675443968157, + "grad_norm": 0.3180277645587921, + "learning_rate": 4.880167082008247e-06, + "loss": 0.6618, + "step": 696 + }, + { + "epoch": 0.34145744029393754, + "grad_norm": 0.3110656440258026, + "learning_rate": 4.879767878097098e-06, + "loss": 0.665, + "step": 697 + }, + { + "epoch": 0.3419473361910594, + "grad_norm": 0.3028208911418915, + "learning_rate": 4.879368026732412e-06, + "loss": 0.6707, + "step": 698 + }, + { + "epoch": 0.3424372320881813, + "grad_norm": 0.3225865066051483, + "learning_rate": 4.878967528022976e-06, + "loss": 0.6498, + "step": 699 + }, + { + "epoch": 0.3429271279853031, + "grad_norm": 0.3116249442100525, + "learning_rate": 4.87856638207775e-06, + "loss": 0.6627, + "step": 700 + }, + { + "epoch": 0.343417023882425, + "grad_norm": 0.32170018553733826, + "learning_rate": 4.878164589005876e-06, + "loss": 0.6571, + "step": 701 + }, + { + "epoch": 0.34390691977954685, + "grad_norm": 0.3243235647678375, + "learning_rate": 4.877762148916665e-06, + "loss": 0.6281, + "step": 702 + }, + { + "epoch": 0.3443968156766687, + "grad_norm": 0.30337801575660706, + "learning_rate": 4.8773590619196064e-06, + "loss": 0.6781, + "step": 703 + }, + { + "epoch": 0.3448867115737906, + "grad_norm": 0.30504652857780457, + "learning_rate": 4.87695532812437e-06, + "loss": 0.6737, + "step": 704 + }, + { + "epoch": 0.3453766074709124, + "grad_norm": 0.33436259627342224, + "learning_rate": 4.876550947640794e-06, + "loss": 0.6872, + "step": 705 + }, + { + "epoch": 0.3458665033680343, + "grad_norm": 0.3146010935306549, + "learning_rate": 4.8761459205789e-06, + "loss": 0.6522, + "step": 706 + }, + { + "epoch": 0.34635639926515616, + "grad_norm": 0.3099222779273987, + "learning_rate": 4.8757402470488795e-06, + "loss": 0.6409, + "step": 707 + }, + { + "epoch": 0.346846295162278, + "grad_norm": 0.30881136655807495, + "learning_rate": 4.875333927161104e-06, + "loss": 0.6406, + "step": 708 + }, + { + "epoch": 0.3473361910593999, + "grad_norm": 0.310293048620224, + "learning_rate": 4.874926961026118e-06, + "loss": 0.6476, + "step": 709 + }, + { + "epoch": 0.34782608695652173, + "grad_norm": 0.33084210753440857, + "learning_rate": 4.874519348754644e-06, + "loss": 0.6554, + "step": 710 + }, + { + "epoch": 0.3483159828536436, + "grad_norm": 0.3112454116344452, + "learning_rate": 4.874111090457579e-06, + "loss": 0.668, + "step": 711 + }, + { + "epoch": 0.34880587875076546, + "grad_norm": 0.32594504952430725, + "learning_rate": 4.873702186245996e-06, + "loss": 0.678, + "step": 712 + }, + { + "epoch": 0.3492957746478873, + "grad_norm": 0.3138704299926758, + "learning_rate": 4.873292636231145e-06, + "loss": 0.6708, + "step": 713 + }, + { + "epoch": 0.3497856705450092, + "grad_norm": 0.3248952627182007, + "learning_rate": 4.872882440524448e-06, + "loss": 0.6453, + "step": 714 + }, + { + "epoch": 0.35027556644213104, + "grad_norm": 0.30387961864471436, + "learning_rate": 4.872471599237508e-06, + "loss": 0.6293, + "step": 715 + }, + { + "epoch": 0.35076546233925293, + "grad_norm": 0.3210145831108093, + "learning_rate": 4.8720601124821e-06, + "loss": 0.6811, + "step": 716 + }, + { + "epoch": 0.35125535823637477, + "grad_norm": 0.3145703673362732, + "learning_rate": 4.8716479803701755e-06, + "loss": 0.6534, + "step": 717 + }, + { + "epoch": 0.3517452541334966, + "grad_norm": 0.32032543420791626, + "learning_rate": 4.871235203013861e-06, + "loss": 0.677, + "step": 718 + }, + { + "epoch": 0.3522351500306185, + "grad_norm": 0.311057984828949, + "learning_rate": 4.870821780525458e-06, + "loss": 0.6599, + "step": 719 + }, + { + "epoch": 0.35272504592774034, + "grad_norm": 0.31371673941612244, + "learning_rate": 4.8704077130174475e-06, + "loss": 0.6655, + "step": 720 + }, + { + "epoch": 0.35321494182486224, + "grad_norm": 0.31282398104667664, + "learning_rate": 4.869993000602482e-06, + "loss": 0.6588, + "step": 721 + }, + { + "epoch": 0.3537048377219841, + "grad_norm": 0.3058509826660156, + "learning_rate": 4.8695776433933895e-06, + "loss": 0.6554, + "step": 722 + }, + { + "epoch": 0.3541947336191059, + "grad_norm": 0.32043665647506714, + "learning_rate": 4.8691616415031765e-06, + "loss": 0.6419, + "step": 723 + }, + { + "epoch": 0.3546846295162278, + "grad_norm": 0.3181472718715668, + "learning_rate": 4.86874499504502e-06, + "loss": 0.6498, + "step": 724 + }, + { + "epoch": 0.35517452541334965, + "grad_norm": 0.31420233845710754, + "learning_rate": 4.868327704132277e-06, + "loss": 0.6833, + "step": 725 + }, + { + "epoch": 0.35566442131047155, + "grad_norm": 0.30752044916152954, + "learning_rate": 4.867909768878479e-06, + "loss": 0.6696, + "step": 726 + }, + { + "epoch": 0.3561543172075934, + "grad_norm": 0.2980179488658905, + "learning_rate": 4.867491189397331e-06, + "loss": 0.6181, + "step": 727 + }, + { + "epoch": 0.3566442131047152, + "grad_norm": 0.33069589734077454, + "learning_rate": 4.867071965802715e-06, + "loss": 0.6842, + "step": 728 + }, + { + "epoch": 0.3571341090018371, + "grad_norm": 0.31239742040634155, + "learning_rate": 4.866652098208684e-06, + "loss": 0.6794, + "step": 729 + }, + { + "epoch": 0.35762400489895896, + "grad_norm": 0.3049803674221039, + "learning_rate": 4.866231586729474e-06, + "loss": 0.6487, + "step": 730 + }, + { + "epoch": 0.35811390079608085, + "grad_norm": 0.32708168029785156, + "learning_rate": 4.86581043147949e-06, + "loss": 0.6732, + "step": 731 + }, + { + "epoch": 0.3586037966932027, + "grad_norm": 0.317973792552948, + "learning_rate": 4.865388632573313e-06, + "loss": 0.6676, + "step": 732 + }, + { + "epoch": 0.35909369259032453, + "grad_norm": 0.3271551728248596, + "learning_rate": 4.864966190125702e-06, + "loss": 0.6439, + "step": 733 + }, + { + "epoch": 0.3595835884874464, + "grad_norm": 0.3095121383666992, + "learning_rate": 4.864543104251587e-06, + "loss": 0.6134, + "step": 734 + }, + { + "epoch": 0.36007348438456827, + "grad_norm": 0.3160260319709778, + "learning_rate": 4.864119375066077e-06, + "loss": 0.6594, + "step": 735 + }, + { + "epoch": 0.36056338028169016, + "grad_norm": 0.3187366724014282, + "learning_rate": 4.8636950026844534e-06, + "loss": 0.6758, + "step": 736 + }, + { + "epoch": 0.361053276178812, + "grad_norm": 0.32910969853401184, + "learning_rate": 4.863269987222174e-06, + "loss": 0.6372, + "step": 737 + }, + { + "epoch": 0.36154317207593384, + "grad_norm": 0.3208555281162262, + "learning_rate": 4.862844328794871e-06, + "loss": 0.632, + "step": 738 + }, + { + "epoch": 0.36203306797305573, + "grad_norm": 0.31716328859329224, + "learning_rate": 4.862418027518351e-06, + "loss": 0.6717, + "step": 739 + }, + { + "epoch": 0.3625229638701776, + "grad_norm": 0.33008137345314026, + "learning_rate": 4.861991083508595e-06, + "loss": 0.6629, + "step": 740 + }, + { + "epoch": 0.36301285976729947, + "grad_norm": 0.32629767060279846, + "learning_rate": 4.861563496881763e-06, + "loss": 0.6517, + "step": 741 + }, + { + "epoch": 0.3635027556644213, + "grad_norm": 0.32302382588386536, + "learning_rate": 4.861135267754183e-06, + "loss": 0.6497, + "step": 742 + }, + { + "epoch": 0.36399265156154315, + "grad_norm": 0.31350627541542053, + "learning_rate": 4.860706396242364e-06, + "loss": 0.6607, + "step": 743 + }, + { + "epoch": 0.36448254745866504, + "grad_norm": 0.3175422251224518, + "learning_rate": 4.860276882462986e-06, + "loss": 0.6311, + "step": 744 + }, + { + "epoch": 0.3649724433557869, + "grad_norm": 0.31468355655670166, + "learning_rate": 4.8598467265329065e-06, + "loss": 0.6402, + "step": 745 + }, + { + "epoch": 0.3654623392529088, + "grad_norm": 0.3147619962692261, + "learning_rate": 4.859415928569154e-06, + "loss": 0.6882, + "step": 746 + }, + { + "epoch": 0.3659522351500306, + "grad_norm": 0.31198322772979736, + "learning_rate": 4.858984488688937e-06, + "loss": 0.6679, + "step": 747 + }, + { + "epoch": 0.36644213104715245, + "grad_norm": 0.3297489285469055, + "learning_rate": 4.858552407009633e-06, + "loss": 0.685, + "step": 748 + }, + { + "epoch": 0.36693202694427435, + "grad_norm": 0.307198166847229, + "learning_rate": 4.858119683648796e-06, + "loss": 0.6682, + "step": 749 + }, + { + "epoch": 0.3674219228413962, + "grad_norm": 0.3127272129058838, + "learning_rate": 4.857686318724159e-06, + "loss": 0.6529, + "step": 750 + }, + { + "epoch": 0.3679118187385181, + "grad_norm": 0.31503623723983765, + "learning_rate": 4.857252312353622e-06, + "loss": 0.6607, + "step": 751 + }, + { + "epoch": 0.3684017146356399, + "grad_norm": 0.3225836157798767, + "learning_rate": 4.856817664655266e-06, + "loss": 0.6539, + "step": 752 + }, + { + "epoch": 0.3688916105327618, + "grad_norm": 0.3189702332019806, + "learning_rate": 4.856382375747341e-06, + "loss": 0.68, + "step": 753 + }, + { + "epoch": 0.36938150642988365, + "grad_norm": 0.3274145722389221, + "learning_rate": 4.855946445748277e-06, + "loss": 0.6388, + "step": 754 + }, + { + "epoch": 0.3698714023270055, + "grad_norm": 0.3334755003452301, + "learning_rate": 4.855509874776674e-06, + "loss": 0.6597, + "step": 755 + }, + { + "epoch": 0.3703612982241274, + "grad_norm": 0.3221217095851898, + "learning_rate": 4.855072662951308e-06, + "loss": 0.6532, + "step": 756 + }, + { + "epoch": 0.37085119412124923, + "grad_norm": 0.32857850193977356, + "learning_rate": 4.85463481039113e-06, + "loss": 0.6585, + "step": 757 + }, + { + "epoch": 0.3713410900183711, + "grad_norm": 0.3258369266986847, + "learning_rate": 4.854196317215265e-06, + "loss": 0.673, + "step": 758 + }, + { + "epoch": 0.37183098591549296, + "grad_norm": 0.3420117497444153, + "learning_rate": 4.853757183543012e-06, + "loss": 0.6838, + "step": 759 + }, + { + "epoch": 0.3723208818126148, + "grad_norm": 0.30562669038772583, + "learning_rate": 4.853317409493844e-06, + "loss": 0.6298, + "step": 760 + }, + { + "epoch": 0.3728107777097367, + "grad_norm": 0.3201233148574829, + "learning_rate": 4.852876995187408e-06, + "loss": 0.6723, + "step": 761 + }, + { + "epoch": 0.37330067360685854, + "grad_norm": 0.2966959774494171, + "learning_rate": 4.852435940743526e-06, + "loss": 0.6491, + "step": 762 + }, + { + "epoch": 0.37379056950398043, + "grad_norm": 0.32500383257865906, + "learning_rate": 4.851994246282194e-06, + "loss": 0.6564, + "step": 763 + }, + { + "epoch": 0.37428046540110227, + "grad_norm": 0.3188881278038025, + "learning_rate": 4.851551911923582e-06, + "loss": 0.6505, + "step": 764 + }, + { + "epoch": 0.3747703612982241, + "grad_norm": 0.3221505284309387, + "learning_rate": 4.8511089377880334e-06, + "loss": 0.6634, + "step": 765 + }, + { + "epoch": 0.375260257195346, + "grad_norm": 0.3052166700363159, + "learning_rate": 4.850665323996068e-06, + "loss": 0.6639, + "step": 766 + }, + { + "epoch": 0.37575015309246784, + "grad_norm": 0.33018791675567627, + "learning_rate": 4.850221070668376e-06, + "loss": 0.6912, + "step": 767 + }, + { + "epoch": 0.37624004898958974, + "grad_norm": 0.32073283195495605, + "learning_rate": 4.849776177925825e-06, + "loss": 0.6493, + "step": 768 + }, + { + "epoch": 0.3767299448867116, + "grad_norm": 0.31678506731987, + "learning_rate": 4.849330645889454e-06, + "loss": 0.6803, + "step": 769 + }, + { + "epoch": 0.3772198407838334, + "grad_norm": 0.32724466919898987, + "learning_rate": 4.848884474680477e-06, + "loss": 0.6704, + "step": 770 + }, + { + "epoch": 0.3777097366809553, + "grad_norm": 0.3205874264240265, + "learning_rate": 4.8484376644202845e-06, + "loss": 0.6577, + "step": 771 + }, + { + "epoch": 0.37819963257807715, + "grad_norm": 0.30893105268478394, + "learning_rate": 4.847990215230435e-06, + "loss": 0.666, + "step": 772 + }, + { + "epoch": 0.37868952847519904, + "grad_norm": 0.31219717860221863, + "learning_rate": 4.847542127232665e-06, + "loss": 0.6565, + "step": 773 + }, + { + "epoch": 0.3791794243723209, + "grad_norm": 0.3261759579181671, + "learning_rate": 4.847093400548885e-06, + "loss": 0.677, + "step": 774 + }, + { + "epoch": 0.3796693202694427, + "grad_norm": 0.31503742933273315, + "learning_rate": 4.846644035301178e-06, + "loss": 0.6666, + "step": 775 + }, + { + "epoch": 0.3801592161665646, + "grad_norm": 0.31190887093544006, + "learning_rate": 4.8461940316118e-06, + "loss": 0.6574, + "step": 776 + }, + { + "epoch": 0.38064911206368646, + "grad_norm": 0.3217906355857849, + "learning_rate": 4.845743389603182e-06, + "loss": 0.6441, + "step": 777 + }, + { + "epoch": 0.38113900796080835, + "grad_norm": 0.33193954825401306, + "learning_rate": 4.845292109397929e-06, + "loss": 0.6248, + "step": 778 + }, + { + "epoch": 0.3816289038579302, + "grad_norm": 0.3300223648548126, + "learning_rate": 4.844840191118819e-06, + "loss": 0.6431, + "step": 779 + }, + { + "epoch": 0.38211879975505203, + "grad_norm": 0.33220401406288147, + "learning_rate": 4.844387634888802e-06, + "loss": 0.6605, + "step": 780 + }, + { + "epoch": 0.3826086956521739, + "grad_norm": 0.3159903585910797, + "learning_rate": 4.8439344408310044e-06, + "loss": 0.655, + "step": 781 + }, + { + "epoch": 0.38309859154929576, + "grad_norm": 0.32114678621292114, + "learning_rate": 4.843480609068724e-06, + "loss": 0.658, + "step": 782 + }, + { + "epoch": 0.38358848744641766, + "grad_norm": 0.3086536228656769, + "learning_rate": 4.843026139725433e-06, + "loss": 0.6794, + "step": 783 + }, + { + "epoch": 0.3840783833435395, + "grad_norm": 0.31365227699279785, + "learning_rate": 4.842571032924778e-06, + "loss": 0.6678, + "step": 784 + }, + { + "epoch": 0.38456827924066134, + "grad_norm": 0.3227309286594391, + "learning_rate": 4.842115288790577e-06, + "loss": 0.6379, + "step": 785 + }, + { + "epoch": 0.38505817513778323, + "grad_norm": 0.32405832409858704, + "learning_rate": 4.8416589074468224e-06, + "loss": 0.652, + "step": 786 + }, + { + "epoch": 0.38554807103490507, + "grad_norm": 0.31400805711746216, + "learning_rate": 4.841201889017681e-06, + "loss": 0.6566, + "step": 787 + }, + { + "epoch": 0.38603796693202697, + "grad_norm": 0.3314230144023895, + "learning_rate": 4.84074423362749e-06, + "loss": 0.6414, + "step": 788 + }, + { + "epoch": 0.3865278628291488, + "grad_norm": 0.3287082314491272, + "learning_rate": 4.840285941400765e-06, + "loss": 0.6401, + "step": 789 + }, + { + "epoch": 0.38701775872627064, + "grad_norm": 0.31949952244758606, + "learning_rate": 4.8398270124621886e-06, + "loss": 0.6583, + "step": 790 + }, + { + "epoch": 0.38750765462339254, + "grad_norm": 0.3409273028373718, + "learning_rate": 4.839367446936621e-06, + "loss": 0.651, + "step": 791 + }, + { + "epoch": 0.3879975505205144, + "grad_norm": 0.31103092432022095, + "learning_rate": 4.838907244949093e-06, + "loss": 0.6546, + "step": 792 + }, + { + "epoch": 0.3884874464176363, + "grad_norm": 0.31950950622558594, + "learning_rate": 4.8384464066248114e-06, + "loss": 0.6822, + "step": 793 + }, + { + "epoch": 0.3889773423147581, + "grad_norm": 0.3224134147167206, + "learning_rate": 4.8379849320891545e-06, + "loss": 0.6731, + "step": 794 + }, + { + "epoch": 0.38946723821187995, + "grad_norm": 0.31685829162597656, + "learning_rate": 4.8375228214676735e-06, + "loss": 0.6401, + "step": 795 + }, + { + "epoch": 0.38995713410900185, + "grad_norm": 0.3154316544532776, + "learning_rate": 4.837060074886092e-06, + "loss": 0.6542, + "step": 796 + }, + { + "epoch": 0.3904470300061237, + "grad_norm": 0.30656275153160095, + "learning_rate": 4.836596692470309e-06, + "loss": 0.6541, + "step": 797 + }, + { + "epoch": 0.3909369259032456, + "grad_norm": 0.30986401438713074, + "learning_rate": 4.836132674346393e-06, + "loss": 0.6513, + "step": 798 + }, + { + "epoch": 0.3914268218003674, + "grad_norm": 0.3240419328212738, + "learning_rate": 4.83566802064059e-06, + "loss": 0.6405, + "step": 799 + }, + { + "epoch": 0.39191671769748926, + "grad_norm": 0.3198719620704651, + "learning_rate": 4.8352027314793145e-06, + "loss": 0.633, + "step": 800 + }, + { + "epoch": 0.39240661359461115, + "grad_norm": 0.336039662361145, + "learning_rate": 4.834736806989156e-06, + "loss": 0.6608, + "step": 801 + }, + { + "epoch": 0.392896509491733, + "grad_norm": 0.3361132740974426, + "learning_rate": 4.834270247296878e-06, + "loss": 0.6726, + "step": 802 + }, + { + "epoch": 0.3933864053888549, + "grad_norm": 0.3405260741710663, + "learning_rate": 4.833803052529414e-06, + "loss": 0.6692, + "step": 803 + }, + { + "epoch": 0.3938763012859767, + "grad_norm": 0.3248771131038666, + "learning_rate": 4.8333352228138725e-06, + "loss": 0.6819, + "step": 804 + }, + { + "epoch": 0.39436619718309857, + "grad_norm": 0.3115767538547516, + "learning_rate": 4.8328667582775336e-06, + "loss": 0.6491, + "step": 805 + }, + { + "epoch": 0.39485609308022046, + "grad_norm": 0.31870561838150024, + "learning_rate": 4.83239765904785e-06, + "loss": 0.6663, + "step": 806 + }, + { + "epoch": 0.3953459889773423, + "grad_norm": 0.31889578700065613, + "learning_rate": 4.8319279252524495e-06, + "loss": 0.6528, + "step": 807 + }, + { + "epoch": 0.3958358848744642, + "grad_norm": 0.32603761553764343, + "learning_rate": 4.831457557019128e-06, + "loss": 0.6628, + "step": 808 + }, + { + "epoch": 0.39632578077158603, + "grad_norm": 0.3227848708629608, + "learning_rate": 4.830986554475859e-06, + "loss": 0.6717, + "step": 809 + }, + { + "epoch": 0.3968156766687079, + "grad_norm": 0.30794838070869446, + "learning_rate": 4.830514917750785e-06, + "loss": 0.6596, + "step": 810 + }, + { + "epoch": 0.39730557256582977, + "grad_norm": 0.34206315875053406, + "learning_rate": 4.830042646972221e-06, + "loss": 0.6542, + "step": 811 + }, + { + "epoch": 0.3977954684629516, + "grad_norm": 0.31525009870529175, + "learning_rate": 4.8295697422686586e-06, + "loss": 0.6531, + "step": 812 + }, + { + "epoch": 0.3982853643600735, + "grad_norm": 0.34714141488075256, + "learning_rate": 4.829096203768757e-06, + "loss": 0.6652, + "step": 813 + }, + { + "epoch": 0.39877526025719534, + "grad_norm": 0.3229881227016449, + "learning_rate": 4.828622031601351e-06, + "loss": 0.6705, + "step": 814 + }, + { + "epoch": 0.3992651561543172, + "grad_norm": 0.31995874643325806, + "learning_rate": 4.828147225895445e-06, + "loss": 0.6507, + "step": 815 + }, + { + "epoch": 0.3997550520514391, + "grad_norm": 0.326016902923584, + "learning_rate": 4.827671786780219e-06, + "loss": 0.6786, + "step": 816 + }, + { + "epoch": 0.4002449479485609, + "grad_norm": 0.318215548992157, + "learning_rate": 4.8271957143850235e-06, + "loss": 0.6425, + "step": 817 + }, + { + "epoch": 0.4007348438456828, + "grad_norm": 0.3327416777610779, + "learning_rate": 4.82671900883938e-06, + "loss": 0.6546, + "step": 818 + }, + { + "epoch": 0.40122473974280465, + "grad_norm": 0.33632010221481323, + "learning_rate": 4.826241670272986e-06, + "loss": 0.6582, + "step": 819 + }, + { + "epoch": 0.40171463563992654, + "grad_norm": 0.3371349275112152, + "learning_rate": 4.825763698815709e-06, + "loss": 0.6768, + "step": 820 + }, + { + "epoch": 0.4022045315370484, + "grad_norm": 0.332950621843338, + "learning_rate": 4.825285094597586e-06, + "loss": 0.6613, + "step": 821 + }, + { + "epoch": 0.4026944274341702, + "grad_norm": 0.31979843974113464, + "learning_rate": 4.824805857748831e-06, + "loss": 0.6281, + "step": 822 + }, + { + "epoch": 0.4031843233312921, + "grad_norm": 0.33180534839630127, + "learning_rate": 4.824325988399828e-06, + "loss": 0.6741, + "step": 823 + }, + { + "epoch": 0.40367421922841396, + "grad_norm": 0.32684949040412903, + "learning_rate": 4.8238454866811326e-06, + "loss": 0.6638, + "step": 824 + }, + { + "epoch": 0.40416411512553585, + "grad_norm": 0.3229905664920807, + "learning_rate": 4.823364352723472e-06, + "loss": 0.6545, + "step": 825 + }, + { + "epoch": 0.4046540110226577, + "grad_norm": 0.32018545269966125, + "learning_rate": 4.822882586657748e-06, + "loss": 0.6553, + "step": 826 + }, + { + "epoch": 0.40514390691977953, + "grad_norm": 0.32592976093292236, + "learning_rate": 4.8224001886150315e-06, + "loss": 0.6425, + "step": 827 + }, + { + "epoch": 0.4056338028169014, + "grad_norm": 0.3335873484611511, + "learning_rate": 4.821917158726568e-06, + "loss": 0.6419, + "step": 828 + }, + { + "epoch": 0.40612369871402326, + "grad_norm": 0.32976460456848145, + "learning_rate": 4.821433497123772e-06, + "loss": 0.6545, + "step": 829 + }, + { + "epoch": 0.40661359461114516, + "grad_norm": 0.3185843527317047, + "learning_rate": 4.820949203938231e-06, + "loss": 0.6607, + "step": 830 + }, + { + "epoch": 0.407103490508267, + "grad_norm": 0.3265590965747833, + "learning_rate": 4.820464279301705e-06, + "loss": 0.6779, + "step": 831 + }, + { + "epoch": 0.40759338640538884, + "grad_norm": 0.32094770669937134, + "learning_rate": 4.819978723346127e-06, + "loss": 0.6139, + "step": 832 + }, + { + "epoch": 0.40808328230251073, + "grad_norm": 0.34664106369018555, + "learning_rate": 4.819492536203598e-06, + "loss": 0.6486, + "step": 833 + }, + { + "epoch": 0.40857317819963257, + "grad_norm": 0.32802873849868774, + "learning_rate": 4.819005718006394e-06, + "loss": 0.6516, + "step": 834 + }, + { + "epoch": 0.40906307409675446, + "grad_norm": 0.324709415435791, + "learning_rate": 4.8185182688869615e-06, + "loss": 0.665, + "step": 835 + }, + { + "epoch": 0.4095529699938763, + "grad_norm": 0.31625524163246155, + "learning_rate": 4.818030188977918e-06, + "loss": 0.6571, + "step": 836 + }, + { + "epoch": 0.41004286589099814, + "grad_norm": 0.3230063021183014, + "learning_rate": 4.817541478412055e-06, + "loss": 0.6628, + "step": 837 + }, + { + "epoch": 0.41053276178812004, + "grad_norm": 0.3374910354614258, + "learning_rate": 4.817052137322334e-06, + "loss": 0.6773, + "step": 838 + }, + { + "epoch": 0.4110226576852419, + "grad_norm": 0.32604286074638367, + "learning_rate": 4.816562165841885e-06, + "loss": 0.6695, + "step": 839 + }, + { + "epoch": 0.41151255358236377, + "grad_norm": 0.3211324214935303, + "learning_rate": 4.816071564104015e-06, + "loss": 0.6546, + "step": 840 + }, + { + "epoch": 0.4120024494794856, + "grad_norm": 0.3172019124031067, + "learning_rate": 4.815580332242199e-06, + "loss": 0.661, + "step": 841 + }, + { + "epoch": 0.41249234537660745, + "grad_norm": 0.32369232177734375, + "learning_rate": 4.8150884703900855e-06, + "loss": 0.6643, + "step": 842 + }, + { + "epoch": 0.41298224127372934, + "grad_norm": 0.3227887749671936, + "learning_rate": 4.814595978681493e-06, + "loss": 0.6353, + "step": 843 + }, + { + "epoch": 0.4134721371708512, + "grad_norm": 0.32307952642440796, + "learning_rate": 4.814102857250411e-06, + "loss": 0.6701, + "step": 844 + }, + { + "epoch": 0.4139620330679731, + "grad_norm": 0.335151731967926, + "learning_rate": 4.813609106231002e-06, + "loss": 0.6335, + "step": 845 + }, + { + "epoch": 0.4144519289650949, + "grad_norm": 0.32878342270851135, + "learning_rate": 4.813114725757597e-06, + "loss": 0.6643, + "step": 846 + }, + { + "epoch": 0.41494182486221676, + "grad_norm": 0.3271647095680237, + "learning_rate": 4.812619715964702e-06, + "loss": 0.6337, + "step": 847 + }, + { + "epoch": 0.41543172075933865, + "grad_norm": 0.3339027166366577, + "learning_rate": 4.8121240769869905e-06, + "loss": 0.6458, + "step": 848 + }, + { + "epoch": 0.4159216166564605, + "grad_norm": 0.33395877480506897, + "learning_rate": 4.8116278089593104e-06, + "loss": 0.6487, + "step": 849 + }, + { + "epoch": 0.4164115125535824, + "grad_norm": 0.34332144260406494, + "learning_rate": 4.811130912016679e-06, + "loss": 0.6517, + "step": 850 + }, + { + "epoch": 0.4169014084507042, + "grad_norm": 0.37615567445755005, + "learning_rate": 4.810633386294285e-06, + "loss": 0.6458, + "step": 851 + }, + { + "epoch": 0.41739130434782606, + "grad_norm": 0.3249885141849518, + "learning_rate": 4.810135231927486e-06, + "loss": 0.6688, + "step": 852 + }, + { + "epoch": 0.41788120024494796, + "grad_norm": 0.32357704639434814, + "learning_rate": 4.8096364490518164e-06, + "loss": 0.6505, + "step": 853 + }, + { + "epoch": 0.4183710961420698, + "grad_norm": 0.3268754482269287, + "learning_rate": 4.809137037802975e-06, + "loss": 0.6305, + "step": 854 + }, + { + "epoch": 0.4188609920391917, + "grad_norm": 0.32692062854766846, + "learning_rate": 4.808636998316837e-06, + "loss": 0.6655, + "step": 855 + }, + { + "epoch": 0.41935088793631353, + "grad_norm": 0.33697402477264404, + "learning_rate": 4.808136330729444e-06, + "loss": 0.6642, + "step": 856 + }, + { + "epoch": 0.41984078383343537, + "grad_norm": 0.3350159227848053, + "learning_rate": 4.807635035177012e-06, + "loss": 0.6565, + "step": 857 + }, + { + "epoch": 0.42033067973055727, + "grad_norm": 0.319500595331192, + "learning_rate": 4.807133111795925e-06, + "loss": 0.6227, + "step": 858 + }, + { + "epoch": 0.4208205756276791, + "grad_norm": 0.31828346848487854, + "learning_rate": 4.806630560722741e-06, + "loss": 0.6408, + "step": 859 + }, + { + "epoch": 0.421310471524801, + "grad_norm": 0.3408709466457367, + "learning_rate": 4.806127382094184e-06, + "loss": 0.6513, + "step": 860 + }, + { + "epoch": 0.42180036742192284, + "grad_norm": 0.3314608335494995, + "learning_rate": 4.805623576047155e-06, + "loss": 0.6601, + "step": 861 + }, + { + "epoch": 0.4222902633190447, + "grad_norm": 0.31937554478645325, + "learning_rate": 4.805119142718722e-06, + "loss": 0.6375, + "step": 862 + }, + { + "epoch": 0.4227801592161666, + "grad_norm": 0.33292335271835327, + "learning_rate": 4.804614082246121e-06, + "loss": 0.6677, + "step": 863 + }, + { + "epoch": 0.4232700551132884, + "grad_norm": 0.33356305956840515, + "learning_rate": 4.804108394766766e-06, + "loss": 0.6489, + "step": 864 + }, + { + "epoch": 0.4237599510104103, + "grad_norm": 0.33318352699279785, + "learning_rate": 4.8036020804182335e-06, + "loss": 0.6214, + "step": 865 + }, + { + "epoch": 0.42424984690753215, + "grad_norm": 0.329732209444046, + "learning_rate": 4.803095139338276e-06, + "loss": 0.6433, + "step": 866 + }, + { + "epoch": 0.424739742804654, + "grad_norm": 0.3253389894962311, + "learning_rate": 4.802587571664815e-06, + "loss": 0.6813, + "step": 867 + }, + { + "epoch": 0.4252296387017759, + "grad_norm": 0.3183434009552002, + "learning_rate": 4.802079377535943e-06, + "loss": 0.656, + "step": 868 + }, + { + "epoch": 0.4257195345988977, + "grad_norm": 0.3274723291397095, + "learning_rate": 4.801570557089921e-06, + "loss": 0.5987, + "step": 869 + }, + { + "epoch": 0.4262094304960196, + "grad_norm": 0.3257862627506256, + "learning_rate": 4.8010611104651814e-06, + "loss": 0.6481, + "step": 870 + }, + { + "epoch": 0.42669932639314145, + "grad_norm": 0.3261187970638275, + "learning_rate": 4.800551037800329e-06, + "loss": 0.6453, + "step": 871 + }, + { + "epoch": 0.4271892222902633, + "grad_norm": 0.3393871784210205, + "learning_rate": 4.800040339234134e-06, + "loss": 0.6306, + "step": 872 + }, + { + "epoch": 0.4276791181873852, + "grad_norm": 0.3195154368877411, + "learning_rate": 4.799529014905544e-06, + "loss": 0.6537, + "step": 873 + }, + { + "epoch": 0.428169014084507, + "grad_norm": 0.3519408702850342, + "learning_rate": 4.79901706495367e-06, + "loss": 0.6727, + "step": 874 + }, + { + "epoch": 0.4286589099816289, + "grad_norm": 0.33387088775634766, + "learning_rate": 4.7985044895177976e-06, + "loss": 0.6556, + "step": 875 + }, + { + "epoch": 0.42914880587875076, + "grad_norm": 0.32974541187286377, + "learning_rate": 4.7979912887373805e-06, + "loss": 0.6579, + "step": 876 + }, + { + "epoch": 0.4296387017758726, + "grad_norm": 0.32956287264823914, + "learning_rate": 4.7974774627520424e-06, + "loss": 0.6522, + "step": 877 + }, + { + "epoch": 0.4301285976729945, + "grad_norm": 0.31489697098731995, + "learning_rate": 4.7969630117015785e-06, + "loss": 0.6613, + "step": 878 + }, + { + "epoch": 0.43061849357011633, + "grad_norm": 0.33859875798225403, + "learning_rate": 4.796447935725954e-06, + "loss": 0.6546, + "step": 879 + }, + { + "epoch": 0.43110838946723823, + "grad_norm": 0.33555036783218384, + "learning_rate": 4.795932234965302e-06, + "loss": 0.6083, + "step": 880 + }, + { + "epoch": 0.43159828536436007, + "grad_norm": 0.3280044496059418, + "learning_rate": 4.795415909559929e-06, + "loss": 0.6721, + "step": 881 + }, + { + "epoch": 0.43208818126148196, + "grad_norm": 0.331339567899704, + "learning_rate": 4.7948989596503085e-06, + "loss": 0.6529, + "step": 882 + }, + { + "epoch": 0.4325780771586038, + "grad_norm": 0.3267557919025421, + "learning_rate": 4.794381385377084e-06, + "loss": 0.6483, + "step": 883 + }, + { + "epoch": 0.43306797305572564, + "grad_norm": 0.3242381513118744, + "learning_rate": 4.79386318688107e-06, + "loss": 0.652, + "step": 884 + }, + { + "epoch": 0.43355786895284754, + "grad_norm": 0.35081592202186584, + "learning_rate": 4.793344364303252e-06, + "loss": 0.6859, + "step": 885 + }, + { + "epoch": 0.4340477648499694, + "grad_norm": 0.33770686388015747, + "learning_rate": 4.792824917784783e-06, + "loss": 0.6315, + "step": 886 + }, + { + "epoch": 0.43453766074709127, + "grad_norm": 0.33075547218322754, + "learning_rate": 4.792304847466986e-06, + "loss": 0.6512, + "step": 887 + }, + { + "epoch": 0.4350275566442131, + "grad_norm": 0.3429637551307678, + "learning_rate": 4.791784153491355e-06, + "loss": 0.6803, + "step": 888 + }, + { + "epoch": 0.43551745254133495, + "grad_norm": 0.3312215209007263, + "learning_rate": 4.791262835999554e-06, + "loss": 0.6292, + "step": 889 + }, + { + "epoch": 0.43600734843845684, + "grad_norm": 0.3361411690711975, + "learning_rate": 4.790740895133415e-06, + "loss": 0.6537, + "step": 890 + }, + { + "epoch": 0.4364972443355787, + "grad_norm": 0.320117324590683, + "learning_rate": 4.790218331034939e-06, + "loss": 0.669, + "step": 891 + }, + { + "epoch": 0.4369871402327006, + "grad_norm": 0.3243316113948822, + "learning_rate": 4.7896951438463e-06, + "loss": 0.6205, + "step": 892 + }, + { + "epoch": 0.4374770361298224, + "grad_norm": 0.3368995785713196, + "learning_rate": 4.789171333709838e-06, + "loss": 0.6719, + "step": 893 + }, + { + "epoch": 0.43796693202694426, + "grad_norm": 0.3193654716014862, + "learning_rate": 4.788646900768064e-06, + "loss": 0.657, + "step": 894 + }, + { + "epoch": 0.43845682792406615, + "grad_norm": 0.3282233476638794, + "learning_rate": 4.788121845163658e-06, + "loss": 0.6526, + "step": 895 + }, + { + "epoch": 0.438946723821188, + "grad_norm": 0.3279890716075897, + "learning_rate": 4.787596167039471e-06, + "loss": 0.6384, + "step": 896 + }, + { + "epoch": 0.4394366197183099, + "grad_norm": 0.3300457298755646, + "learning_rate": 4.787069866538521e-06, + "loss": 0.6702, + "step": 897 + }, + { + "epoch": 0.4399265156154317, + "grad_norm": 0.33194148540496826, + "learning_rate": 4.7865429438039955e-06, + "loss": 0.6595, + "step": 898 + }, + { + "epoch": 0.44041641151255356, + "grad_norm": 0.34703534841537476, + "learning_rate": 4.786015398979254e-06, + "loss": 0.6537, + "step": 899 + }, + { + "epoch": 0.44090630740967546, + "grad_norm": 0.3270828425884247, + "learning_rate": 4.7854872322078225e-06, + "loss": 0.6616, + "step": 900 + }, + { + "epoch": 0.4413962033067973, + "grad_norm": 0.3177931606769562, + "learning_rate": 4.784958443633398e-06, + "loss": 0.6359, + "step": 901 + }, + { + "epoch": 0.4418860992039192, + "grad_norm": 0.33886033296585083, + "learning_rate": 4.784429033399844e-06, + "loss": 0.6472, + "step": 902 + }, + { + "epoch": 0.44237599510104103, + "grad_norm": 0.3440721929073334, + "learning_rate": 4.783899001651196e-06, + "loss": 0.6417, + "step": 903 + }, + { + "epoch": 0.44286589099816287, + "grad_norm": 0.3315575420856476, + "learning_rate": 4.783368348531657e-06, + "loss": 0.6478, + "step": 904 + }, + { + "epoch": 0.44335578689528476, + "grad_norm": 0.32453784346580505, + "learning_rate": 4.782837074185602e-06, + "loss": 0.6605, + "step": 905 + }, + { + "epoch": 0.4438456827924066, + "grad_norm": 0.3341559171676636, + "learning_rate": 4.782305178757569e-06, + "loss": 0.6778, + "step": 906 + }, + { + "epoch": 0.4443355786895285, + "grad_norm": 0.338220477104187, + "learning_rate": 4.781772662392272e-06, + "loss": 0.6609, + "step": 907 + }, + { + "epoch": 0.44482547458665034, + "grad_norm": 0.34984090924263, + "learning_rate": 4.781239525234588e-06, + "loss": 0.668, + "step": 908 + }, + { + "epoch": 0.4453153704837722, + "grad_norm": 0.31468555331230164, + "learning_rate": 4.780705767429565e-06, + "loss": 0.5993, + "step": 909 + }, + { + "epoch": 0.44580526638089407, + "grad_norm": 0.327556312084198, + "learning_rate": 4.780171389122423e-06, + "loss": 0.6509, + "step": 910 + }, + { + "epoch": 0.4462951622780159, + "grad_norm": 0.3160576820373535, + "learning_rate": 4.779636390458546e-06, + "loss": 0.6445, + "step": 911 + }, + { + "epoch": 0.4467850581751378, + "grad_norm": 0.3446383476257324, + "learning_rate": 4.7791007715834906e-06, + "loss": 0.64, + "step": 912 + }, + { + "epoch": 0.44727495407225965, + "grad_norm": 0.32624417543411255, + "learning_rate": 4.778564532642978e-06, + "loss": 0.6636, + "step": 913 + }, + { + "epoch": 0.4477648499693815, + "grad_norm": 0.3289485275745392, + "learning_rate": 4.778027673782901e-06, + "loss": 0.656, + "step": 914 + }, + { + "epoch": 0.4482547458665034, + "grad_norm": 0.3322214186191559, + "learning_rate": 4.777490195149322e-06, + "loss": 0.6997, + "step": 915 + }, + { + "epoch": 0.4487446417636252, + "grad_norm": 0.3421451449394226, + "learning_rate": 4.776952096888471e-06, + "loss": 0.6594, + "step": 916 + }, + { + "epoch": 0.4492345376607471, + "grad_norm": 0.3431428372859955, + "learning_rate": 4.7764133791467434e-06, + "loss": 0.651, + "step": 917 + }, + { + "epoch": 0.44972443355786895, + "grad_norm": 0.32274821400642395, + "learning_rate": 4.7758740420707086e-06, + "loss": 0.6277, + "step": 918 + }, + { + "epoch": 0.4502143294549908, + "grad_norm": 0.3264138102531433, + "learning_rate": 4.7753340858071e-06, + "loss": 0.6352, + "step": 919 + }, + { + "epoch": 0.4507042253521127, + "grad_norm": 0.3209553062915802, + "learning_rate": 4.7747935105028224e-06, + "loss": 0.6557, + "step": 920 + }, + { + "epoch": 0.4511941212492345, + "grad_norm": 0.3410312831401825, + "learning_rate": 4.774252316304947e-06, + "loss": 0.6751, + "step": 921 + }, + { + "epoch": 0.4516840171463564, + "grad_norm": 0.35638895630836487, + "learning_rate": 4.773710503360714e-06, + "loss": 0.6669, + "step": 922 + }, + { + "epoch": 0.45217391304347826, + "grad_norm": 0.34015554189682007, + "learning_rate": 4.773168071817534e-06, + "loss": 0.6505, + "step": 923 + }, + { + "epoch": 0.4526638089406001, + "grad_norm": 0.32471373677253723, + "learning_rate": 4.772625021822983e-06, + "loss": 0.6682, + "step": 924 + }, + { + "epoch": 0.453153704837722, + "grad_norm": 0.31346777081489563, + "learning_rate": 4.7720813535248056e-06, + "loss": 0.643, + "step": 925 + }, + { + "epoch": 0.45364360073484383, + "grad_norm": 0.33824825286865234, + "learning_rate": 4.771537067070917e-06, + "loss": 0.6633, + "step": 926 + }, + { + "epoch": 0.4541334966319657, + "grad_norm": 0.3258407711982727, + "learning_rate": 4.770992162609397e-06, + "loss": 0.6483, + "step": 927 + }, + { + "epoch": 0.45462339252908757, + "grad_norm": 0.32574284076690674, + "learning_rate": 4.770446640288497e-06, + "loss": 0.6399, + "step": 928 + }, + { + "epoch": 0.4551132884262094, + "grad_norm": 0.31942424178123474, + "learning_rate": 4.769900500256634e-06, + "loss": 0.6746, + "step": 929 + }, + { + "epoch": 0.4556031843233313, + "grad_norm": 0.3261716365814209, + "learning_rate": 4.769353742662395e-06, + "loss": 0.6626, + "step": 930 + }, + { + "epoch": 0.45609308022045314, + "grad_norm": 0.32581284642219543, + "learning_rate": 4.768806367654534e-06, + "loss": 0.6647, + "step": 931 + }, + { + "epoch": 0.45658297611757503, + "grad_norm": 0.32622581720352173, + "learning_rate": 4.768258375381971e-06, + "loss": 0.6535, + "step": 932 + }, + { + "epoch": 0.4570728720146969, + "grad_norm": 0.3114738166332245, + "learning_rate": 4.767709765993799e-06, + "loss": 0.6342, + "step": 933 + }, + { + "epoch": 0.4575627679118187, + "grad_norm": 0.33273571729660034, + "learning_rate": 4.7671605396392735e-06, + "loss": 0.6558, + "step": 934 + }, + { + "epoch": 0.4580526638089406, + "grad_norm": 0.3257521688938141, + "learning_rate": 4.766610696467822e-06, + "loss": 0.6407, + "step": 935 + }, + { + "epoch": 0.45854255970606245, + "grad_norm": 0.3364790678024292, + "learning_rate": 4.766060236629037e-06, + "loss": 0.6393, + "step": 936 + }, + { + "epoch": 0.45903245560318434, + "grad_norm": 0.33170202374458313, + "learning_rate": 4.765509160272681e-06, + "loss": 0.6292, + "step": 937 + }, + { + "epoch": 0.4595223515003062, + "grad_norm": 0.31647032499313354, + "learning_rate": 4.764957467548681e-06, + "loss": 0.634, + "step": 938 + }, + { + "epoch": 0.460012247397428, + "grad_norm": 0.32740557193756104, + "learning_rate": 4.7644051586071345e-06, + "loss": 0.6115, + "step": 939 + }, + { + "epoch": 0.4605021432945499, + "grad_norm": 0.32127001881599426, + "learning_rate": 4.763852233598307e-06, + "loss": 0.6474, + "step": 940 + }, + { + "epoch": 0.46099203919167175, + "grad_norm": 0.3447674512863159, + "learning_rate": 4.76329869267263e-06, + "loss": 0.6845, + "step": 941 + }, + { + "epoch": 0.46148193508879365, + "grad_norm": 0.32889634370803833, + "learning_rate": 4.762744535980702e-06, + "loss": 0.6364, + "step": 942 + }, + { + "epoch": 0.4619718309859155, + "grad_norm": 0.34127506613731384, + "learning_rate": 4.762189763673291e-06, + "loss": 0.6549, + "step": 943 + }, + { + "epoch": 0.4624617268830373, + "grad_norm": 0.33296868205070496, + "learning_rate": 4.761634375901333e-06, + "loss": 0.6462, + "step": 944 + }, + { + "epoch": 0.4629516227801592, + "grad_norm": 0.3282979428768158, + "learning_rate": 4.761078372815927e-06, + "loss": 0.6408, + "step": 945 + }, + { + "epoch": 0.46344151867728106, + "grad_norm": 0.3336234986782074, + "learning_rate": 4.760521754568345e-06, + "loss": 0.6441, + "step": 946 + }, + { + "epoch": 0.46393141457440296, + "grad_norm": 0.3332432806491852, + "learning_rate": 4.759964521310021e-06, + "loss": 0.6592, + "step": 947 + }, + { + "epoch": 0.4644213104715248, + "grad_norm": 0.3263160288333893, + "learning_rate": 4.7594066731925624e-06, + "loss": 0.6621, + "step": 948 + }, + { + "epoch": 0.4649112063686467, + "grad_norm": 0.3333407938480377, + "learning_rate": 4.758848210367739e-06, + "loss": 0.6374, + "step": 949 + }, + { + "epoch": 0.46540110226576853, + "grad_norm": 0.3290969729423523, + "learning_rate": 4.7582891329874894e-06, + "loss": 0.6531, + "step": 950 + }, + { + "epoch": 0.46589099816289037, + "grad_norm": 0.32899218797683716, + "learning_rate": 4.7577294412039195e-06, + "loss": 0.6478, + "step": 951 + }, + { + "epoch": 0.46638089406001226, + "grad_norm": 0.32041114568710327, + "learning_rate": 4.757169135169304e-06, + "loss": 0.6581, + "step": 952 + }, + { + "epoch": 0.4668707899571341, + "grad_norm": 0.3273862302303314, + "learning_rate": 4.7566082150360795e-06, + "loss": 0.6173, + "step": 953 + }, + { + "epoch": 0.467360685854256, + "grad_norm": 0.3293192684650421, + "learning_rate": 4.7560466809568565e-06, + "loss": 0.6345, + "step": 954 + }, + { + "epoch": 0.46785058175137784, + "grad_norm": 0.3363111913204193, + "learning_rate": 4.755484533084407e-06, + "loss": 0.6461, + "step": 955 + }, + { + "epoch": 0.4683404776484997, + "grad_norm": 0.3306375741958618, + "learning_rate": 4.754921771571674e-06, + "loss": 0.6364, + "step": 956 + }, + { + "epoch": 0.46883037354562157, + "grad_norm": 0.3344152271747589, + "learning_rate": 4.754358396571764e-06, + "loss": 0.6205, + "step": 957 + }, + { + "epoch": 0.4693202694427434, + "grad_norm": 0.32841694355010986, + "learning_rate": 4.753794408237954e-06, + "loss": 0.662, + "step": 958 + }, + { + "epoch": 0.4698101653398653, + "grad_norm": 0.3455883860588074, + "learning_rate": 4.753229806723684e-06, + "loss": 0.6537, + "step": 959 + }, + { + "epoch": 0.47030006123698714, + "grad_norm": 0.3336228132247925, + "learning_rate": 4.752664592182564e-06, + "loss": 0.6564, + "step": 960 + }, + { + "epoch": 0.470789957134109, + "grad_norm": 0.32779762148857117, + "learning_rate": 4.75209876476837e-06, + "loss": 0.6124, + "step": 961 + }, + { + "epoch": 0.4712798530312309, + "grad_norm": 0.3376416862010956, + "learning_rate": 4.751532324635043e-06, + "loss": 0.6485, + "step": 962 + }, + { + "epoch": 0.4717697489283527, + "grad_norm": 0.33599647879600525, + "learning_rate": 4.750965271936692e-06, + "loss": 0.6489, + "step": 963 + }, + { + "epoch": 0.4722596448254746, + "grad_norm": 0.33952006697654724, + "learning_rate": 4.750397606827594e-06, + "loss": 0.6501, + "step": 964 + }, + { + "epoch": 0.47274954072259645, + "grad_norm": 0.3457185626029968, + "learning_rate": 4.74982932946219e-06, + "loss": 0.6554, + "step": 965 + }, + { + "epoch": 0.4732394366197183, + "grad_norm": 0.3317156732082367, + "learning_rate": 4.749260439995089e-06, + "loss": 0.6445, + "step": 966 + }, + { + "epoch": 0.4737293325168402, + "grad_norm": 0.32509130239486694, + "learning_rate": 4.748690938581068e-06, + "loss": 0.6303, + "step": 967 + }, + { + "epoch": 0.474219228413962, + "grad_norm": 0.3271726369857788, + "learning_rate": 4.748120825375067e-06, + "loss": 0.6544, + "step": 968 + }, + { + "epoch": 0.4747091243110839, + "grad_norm": 0.32812872529029846, + "learning_rate": 4.747550100532195e-06, + "loss": 0.6249, + "step": 969 + }, + { + "epoch": 0.47519902020820576, + "grad_norm": 0.33634963631629944, + "learning_rate": 4.746978764207727e-06, + "loss": 0.6416, + "step": 970 + }, + { + "epoch": 0.4756889161053276, + "grad_norm": 0.33176323771476746, + "learning_rate": 4.746406816557103e-06, + "loss": 0.6538, + "step": 971 + }, + { + "epoch": 0.4761788120024495, + "grad_norm": 0.3377355933189392, + "learning_rate": 4.7458342577359315e-06, + "loss": 0.6325, + "step": 972 + }, + { + "epoch": 0.47666870789957133, + "grad_norm": 0.3324216902256012, + "learning_rate": 4.745261087899987e-06, + "loss": 0.6774, + "step": 973 + }, + { + "epoch": 0.4771586037966932, + "grad_norm": 0.33282217383384705, + "learning_rate": 4.744687307205207e-06, + "loss": 0.6317, + "step": 974 + }, + { + "epoch": 0.47764849969381507, + "grad_norm": 0.3376564383506775, + "learning_rate": 4.7441129158077e-06, + "loss": 0.6658, + "step": 975 + }, + { + "epoch": 0.4781383955909369, + "grad_norm": 0.3456125855445862, + "learning_rate": 4.743537913863736e-06, + "loss": 0.6802, + "step": 976 + }, + { + "epoch": 0.4786282914880588, + "grad_norm": 0.3268921971321106, + "learning_rate": 4.742962301529755e-06, + "loss": 0.6463, + "step": 977 + }, + { + "epoch": 0.47911818738518064, + "grad_norm": 0.34568679332733154, + "learning_rate": 4.742386078962362e-06, + "loss": 0.6507, + "step": 978 + }, + { + "epoch": 0.47960808328230253, + "grad_norm": 0.3478900194168091, + "learning_rate": 4.741809246318326e-06, + "loss": 0.6582, + "step": 979 + }, + { + "epoch": 0.4800979791794244, + "grad_norm": 0.3300599753856659, + "learning_rate": 4.741231803754583e-06, + "loss": 0.6444, + "step": 980 + }, + { + "epoch": 0.4805878750765462, + "grad_norm": 0.3292956054210663, + "learning_rate": 4.740653751428238e-06, + "loss": 0.635, + "step": 981 + }, + { + "epoch": 0.4810777709736681, + "grad_norm": 0.3479529619216919, + "learning_rate": 4.740075089496557e-06, + "loss": 0.6671, + "step": 982 + }, + { + "epoch": 0.48156766687078995, + "grad_norm": 0.33764973282814026, + "learning_rate": 4.739495818116974e-06, + "loss": 0.6346, + "step": 983 + }, + { + "epoch": 0.48205756276791184, + "grad_norm": 0.3391423225402832, + "learning_rate": 4.738915937447091e-06, + "loss": 0.6376, + "step": 984 + }, + { + "epoch": 0.4825474586650337, + "grad_norm": 0.3254561126232147, + "learning_rate": 4.738335447644673e-06, + "loss": 0.6551, + "step": 985 + }, + { + "epoch": 0.4830373545621555, + "grad_norm": 0.32766976952552795, + "learning_rate": 4.7377543488676495e-06, + "loss": 0.6372, + "step": 986 + }, + { + "epoch": 0.4835272504592774, + "grad_norm": 0.340474009513855, + "learning_rate": 4.7371726412741205e-06, + "loss": 0.6697, + "step": 987 + }, + { + "epoch": 0.48401714635639925, + "grad_norm": 0.3602207601070404, + "learning_rate": 4.736590325022346e-06, + "loss": 0.6462, + "step": 988 + }, + { + "epoch": 0.48450704225352115, + "grad_norm": 0.332263708114624, + "learning_rate": 4.7360074002707556e-06, + "loss": 0.6545, + "step": 989 + }, + { + "epoch": 0.484996938150643, + "grad_norm": 0.3312827944755554, + "learning_rate": 4.735423867177944e-06, + "loss": 0.6291, + "step": 990 + }, + { + "epoch": 0.4854868340477648, + "grad_norm": 0.35063663125038147, + "learning_rate": 4.73483972590267e-06, + "loss": 0.6423, + "step": 991 + }, + { + "epoch": 0.4859767299448867, + "grad_norm": 0.3246268033981323, + "learning_rate": 4.734254976603858e-06, + "loss": 0.653, + "step": 992 + }, + { + "epoch": 0.48646662584200856, + "grad_norm": 0.33790072798728943, + "learning_rate": 4.7336696194405995e-06, + "loss": 0.6448, + "step": 993 + }, + { + "epoch": 0.48695652173913045, + "grad_norm": 0.3333311676979065, + "learning_rate": 4.733083654572148e-06, + "loss": 0.6458, + "step": 994 + }, + { + "epoch": 0.4874464176362523, + "grad_norm": 0.3357294499874115, + "learning_rate": 4.732497082157928e-06, + "loss": 0.6462, + "step": 995 + }, + { + "epoch": 0.48793631353337413, + "grad_norm": 0.3324768841266632, + "learning_rate": 4.731909902357522e-06, + "loss": 0.6442, + "step": 996 + }, + { + "epoch": 0.48842620943049603, + "grad_norm": 0.3282735049724579, + "learning_rate": 4.731322115330683e-06, + "loss": 0.5999, + "step": 997 + }, + { + "epoch": 0.48891610532761787, + "grad_norm": 0.3322250247001648, + "learning_rate": 4.730733721237329e-06, + "loss": 0.6564, + "step": 998 + }, + { + "epoch": 0.48940600122473976, + "grad_norm": 0.33998483419418335, + "learning_rate": 4.7301447202375405e-06, + "loss": 0.6403, + "step": 999 + }, + { + "epoch": 0.4898958971218616, + "grad_norm": 0.3261421024799347, + "learning_rate": 4.729555112491566e-06, + "loss": 0.6633, + "step": 1000 + }, + { + "epoch": 0.49038579301898344, + "grad_norm": 0.3308633267879486, + "learning_rate": 4.728964898159816e-06, + "loss": 0.6439, + "step": 1001 + }, + { + "epoch": 0.49087568891610533, + "grad_norm": 0.3286653459072113, + "learning_rate": 4.728374077402868e-06, + "loss": 0.6699, + "step": 1002 + }, + { + "epoch": 0.4913655848132272, + "grad_norm": 0.34002241492271423, + "learning_rate": 4.727782650381464e-06, + "loss": 0.6804, + "step": 1003 + }, + { + "epoch": 0.49185548071034907, + "grad_norm": 0.3460935056209564, + "learning_rate": 4.727190617256513e-06, + "loss": 0.6293, + "step": 1004 + }, + { + "epoch": 0.4923453766074709, + "grad_norm": 0.3384420871734619, + "learning_rate": 4.726597978189085e-06, + "loss": 0.6425, + "step": 1005 + }, + { + "epoch": 0.49283527250459275, + "grad_norm": 0.3322122097015381, + "learning_rate": 4.726004733340417e-06, + "loss": 0.624, + "step": 1006 + }, + { + "epoch": 0.49332516840171464, + "grad_norm": 0.33144181966781616, + "learning_rate": 4.725410882871911e-06, + "loss": 0.6088, + "step": 1007 + }, + { + "epoch": 0.4938150642988365, + "grad_norm": 0.3404276967048645, + "learning_rate": 4.724816426945134e-06, + "loss": 0.6394, + "step": 1008 + }, + { + "epoch": 0.4943049601959584, + "grad_norm": 0.3359997570514679, + "learning_rate": 4.724221365721816e-06, + "loss": 0.6123, + "step": 1009 + }, + { + "epoch": 0.4947948560930802, + "grad_norm": 0.3339918255805969, + "learning_rate": 4.723625699363854e-06, + "loss": 0.6568, + "step": 1010 + }, + { + "epoch": 0.49528475199020205, + "grad_norm": 0.3534146547317505, + "learning_rate": 4.723029428033308e-06, + "loss": 0.6777, + "step": 1011 + }, + { + "epoch": 0.49577464788732395, + "grad_norm": 0.39140719175338745, + "learning_rate": 4.722432551892402e-06, + "loss": 0.6508, + "step": 1012 + }, + { + "epoch": 0.4962645437844458, + "grad_norm": 0.3383652865886688, + "learning_rate": 4.721835071103527e-06, + "loss": 0.6109, + "step": 1013 + }, + { + "epoch": 0.4967544396815677, + "grad_norm": 0.33597037196159363, + "learning_rate": 4.721236985829237e-06, + "loss": 0.6525, + "step": 1014 + }, + { + "epoch": 0.4972443355786895, + "grad_norm": 0.34626680612564087, + "learning_rate": 4.720638296232251e-06, + "loss": 0.6479, + "step": 1015 + }, + { + "epoch": 0.4977342314758114, + "grad_norm": 0.3565669357776642, + "learning_rate": 4.720039002475449e-06, + "loss": 0.6626, + "step": 1016 + }, + { + "epoch": 0.49822412737293326, + "grad_norm": 0.3603387475013733, + "learning_rate": 4.719439104721883e-06, + "loss": 0.635, + "step": 1017 + }, + { + "epoch": 0.4987140232700551, + "grad_norm": 0.34352055191993713, + "learning_rate": 4.71883860313476e-06, + "loss": 0.6377, + "step": 1018 + }, + { + "epoch": 0.499203919167177, + "grad_norm": 0.3388681411743164, + "learning_rate": 4.71823749787746e-06, + "loss": 0.6413, + "step": 1019 + }, + { + "epoch": 0.49969381506429883, + "grad_norm": 0.34849029779434204, + "learning_rate": 4.717635789113521e-06, + "loss": 0.6617, + "step": 1020 + }, + { + "epoch": 0.5001837109614207, + "grad_norm": 0.3474747836589813, + "learning_rate": 4.717033477006648e-06, + "loss": 0.6206, + "step": 1021 + }, + { + "epoch": 0.5006736068585426, + "grad_norm": 0.3422054648399353, + "learning_rate": 4.716430561720709e-06, + "loss": 0.6646, + "step": 1022 + }, + { + "epoch": 0.5011635027556645, + "grad_norm": 0.3335569202899933, + "learning_rate": 4.715827043419737e-06, + "loss": 0.633, + "step": 1023 + }, + { + "epoch": 0.5016533986527862, + "grad_norm": 0.33768150210380554, + "learning_rate": 4.7152229222679285e-06, + "loss": 0.6749, + "step": 1024 + }, + { + "epoch": 0.5021432945499081, + "grad_norm": 0.3343658447265625, + "learning_rate": 4.714618198429645e-06, + "loss": 0.6464, + "step": 1025 + }, + { + "epoch": 0.50263319044703, + "grad_norm": 0.33807894587516785, + "learning_rate": 4.71401287206941e-06, + "loss": 0.6605, + "step": 1026 + }, + { + "epoch": 0.5031230863441518, + "grad_norm": 0.3393549621105194, + "learning_rate": 4.713406943351913e-06, + "loss": 0.6217, + "step": 1027 + }, + { + "epoch": 0.5036129822412737, + "grad_norm": 0.33353668451309204, + "learning_rate": 4.7128004124420074e-06, + "loss": 0.6658, + "step": 1028 + }, + { + "epoch": 0.5041028781383956, + "grad_norm": 0.34081828594207764, + "learning_rate": 4.712193279504707e-06, + "loss": 0.6708, + "step": 1029 + }, + { + "epoch": 0.5045927740355175, + "grad_norm": 0.3360579311847687, + "learning_rate": 4.711585544705195e-06, + "loss": 0.6333, + "step": 1030 + }, + { + "epoch": 0.5050826699326393, + "grad_norm": 0.34213027358055115, + "learning_rate": 4.710977208208812e-06, + "loss": 0.6771, + "step": 1031 + }, + { + "epoch": 0.5055725658297612, + "grad_norm": 0.33724650740623474, + "learning_rate": 4.710368270181068e-06, + "loss": 0.6521, + "step": 1032 + }, + { + "epoch": 0.5060624617268831, + "grad_norm": 0.348318487405777, + "learning_rate": 4.709758730787633e-06, + "loss": 0.6532, + "step": 1033 + }, + { + "epoch": 0.5065523576240049, + "grad_norm": 0.3409515917301178, + "learning_rate": 4.709148590194343e-06, + "loss": 0.6564, + "step": 1034 + }, + { + "epoch": 0.5070422535211268, + "grad_norm": 0.33423691987991333, + "learning_rate": 4.708537848567195e-06, + "loss": 0.625, + "step": 1035 + }, + { + "epoch": 0.5075321494182486, + "grad_norm": 0.33926403522491455, + "learning_rate": 4.707926506072352e-06, + "loss": 0.6819, + "step": 1036 + }, + { + "epoch": 0.5080220453153704, + "grad_norm": 0.32573071122169495, + "learning_rate": 4.7073145628761394e-06, + "loss": 0.6431, + "step": 1037 + }, + { + "epoch": 0.5085119412124923, + "grad_norm": 0.3247716426849365, + "learning_rate": 4.706702019145045e-06, + "loss": 0.6184, + "step": 1038 + }, + { + "epoch": 0.5090018371096142, + "grad_norm": 0.32566073536872864, + "learning_rate": 4.706088875045722e-06, + "loss": 0.6466, + "step": 1039 + }, + { + "epoch": 0.5094917330067361, + "grad_norm": 0.34337013959884644, + "learning_rate": 4.705475130744986e-06, + "loss": 0.6602, + "step": 1040 + }, + { + "epoch": 0.5099816289038579, + "grad_norm": 0.33207571506500244, + "learning_rate": 4.704860786409815e-06, + "loss": 0.6485, + "step": 1041 + }, + { + "epoch": 0.5104715248009798, + "grad_norm": 0.3431706428527832, + "learning_rate": 4.704245842207353e-06, + "loss": 0.6468, + "step": 1042 + }, + { + "epoch": 0.5109614206981017, + "grad_norm": 0.33269333839416504, + "learning_rate": 4.703630298304902e-06, + "loss": 0.6604, + "step": 1043 + }, + { + "epoch": 0.5114513165952235, + "grad_norm": 0.33562201261520386, + "learning_rate": 4.7030141548699325e-06, + "loss": 0.6441, + "step": 1044 + }, + { + "epoch": 0.5119412124923454, + "grad_norm": 0.32720717787742615, + "learning_rate": 4.702397412070076e-06, + "loss": 0.6311, + "step": 1045 + }, + { + "epoch": 0.5124311083894673, + "grad_norm": 0.3368285298347473, + "learning_rate": 4.701780070073129e-06, + "loss": 0.6353, + "step": 1046 + }, + { + "epoch": 0.5129210042865892, + "grad_norm": 0.34569135308265686, + "learning_rate": 4.701162129047045e-06, + "loss": 0.6613, + "step": 1047 + }, + { + "epoch": 0.5134109001837109, + "grad_norm": 0.33015212416648865, + "learning_rate": 4.700543589159948e-06, + "loss": 0.6612, + "step": 1048 + }, + { + "epoch": 0.5139007960808328, + "grad_norm": 0.3241855800151825, + "learning_rate": 4.699924450580121e-06, + "loss": 0.6207, + "step": 1049 + }, + { + "epoch": 0.5143906919779547, + "grad_norm": 0.34834349155426025, + "learning_rate": 4.699304713476009e-06, + "loss": 0.6437, + "step": 1050 + }, + { + "epoch": 0.5148805878750765, + "grad_norm": 0.3462347388267517, + "learning_rate": 4.698684378016223e-06, + "loss": 0.6784, + "step": 1051 + }, + { + "epoch": 0.5153704837721984, + "grad_norm": 0.34267929196357727, + "learning_rate": 4.698063444369534e-06, + "loss": 0.6536, + "step": 1052 + }, + { + "epoch": 0.5158603796693203, + "grad_norm": 0.3365679383277893, + "learning_rate": 4.697441912704878e-06, + "loss": 0.631, + "step": 1053 + }, + { + "epoch": 0.5163502755664421, + "grad_norm": 0.3212380111217499, + "learning_rate": 4.69681978319135e-06, + "loss": 0.6266, + "step": 1054 + }, + { + "epoch": 0.516840171463564, + "grad_norm": 0.3165789544582367, + "learning_rate": 4.696197055998213e-06, + "loss": 0.6088, + "step": 1055 + }, + { + "epoch": 0.5173300673606859, + "grad_norm": 0.33306971192359924, + "learning_rate": 4.695573731294888e-06, + "loss": 0.6357, + "step": 1056 + }, + { + "epoch": 0.5178199632578078, + "grad_norm": 0.3291991353034973, + "learning_rate": 4.694949809250962e-06, + "loss": 0.652, + "step": 1057 + }, + { + "epoch": 0.5183098591549296, + "grad_norm": 0.33322209119796753, + "learning_rate": 4.694325290036181e-06, + "loss": 0.6504, + "step": 1058 + }, + { + "epoch": 0.5187997550520514, + "grad_norm": 0.3383603096008301, + "learning_rate": 4.693700173820457e-06, + "loss": 0.6514, + "step": 1059 + }, + { + "epoch": 0.5192896509491733, + "grad_norm": 0.31692832708358765, + "learning_rate": 4.693074460773861e-06, + "loss": 0.6002, + "step": 1060 + }, + { + "epoch": 0.5197795468462951, + "grad_norm": 0.3406504690647125, + "learning_rate": 4.69244815106663e-06, + "loss": 0.6455, + "step": 1061 + }, + { + "epoch": 0.520269442743417, + "grad_norm": 0.33714982867240906, + "learning_rate": 4.691821244869161e-06, + "loss": 0.6195, + "step": 1062 + }, + { + "epoch": 0.5207593386405389, + "grad_norm": 0.33816972374916077, + "learning_rate": 4.691193742352013e-06, + "loss": 0.6575, + "step": 1063 + }, + { + "epoch": 0.5212492345376607, + "grad_norm": 0.3503166735172272, + "learning_rate": 4.690565643685908e-06, + "loss": 0.6625, + "step": 1064 + }, + { + "epoch": 0.5217391304347826, + "grad_norm": 0.3353184461593628, + "learning_rate": 4.689936949041731e-06, + "loss": 0.6535, + "step": 1065 + }, + { + "epoch": 0.5222290263319045, + "grad_norm": 0.34093669056892395, + "learning_rate": 4.689307658590527e-06, + "loss": 0.6244, + "step": 1066 + }, + { + "epoch": 0.5227189222290264, + "grad_norm": 0.3339327871799469, + "learning_rate": 4.688677772503506e-06, + "loss": 0.6777, + "step": 1067 + }, + { + "epoch": 0.5232088181261482, + "grad_norm": 0.3263406455516815, + "learning_rate": 4.688047290952038e-06, + "loss": 0.6408, + "step": 1068 + }, + { + "epoch": 0.5236987140232701, + "grad_norm": 0.3410097062587738, + "learning_rate": 4.687416214107655e-06, + "loss": 0.6394, + "step": 1069 + }, + { + "epoch": 0.524188609920392, + "grad_norm": 0.34035810828208923, + "learning_rate": 4.686784542142052e-06, + "loss": 0.6518, + "step": 1070 + }, + { + "epoch": 0.5246785058175137, + "grad_norm": 0.33170121908187866, + "learning_rate": 4.686152275227085e-06, + "loss": 0.6382, + "step": 1071 + }, + { + "epoch": 0.5251684017146356, + "grad_norm": 0.3450348973274231, + "learning_rate": 4.685519413534773e-06, + "loss": 0.6588, + "step": 1072 + }, + { + "epoch": 0.5256582976117575, + "grad_norm": 0.34389328956604004, + "learning_rate": 4.684885957237295e-06, + "loss": 0.6438, + "step": 1073 + }, + { + "epoch": 0.5261481935088793, + "grad_norm": 0.34908241033554077, + "learning_rate": 4.6842519065069924e-06, + "loss": 0.6369, + "step": 1074 + }, + { + "epoch": 0.5266380894060012, + "grad_norm": 0.3395238220691681, + "learning_rate": 4.683617261516371e-06, + "loss": 0.6595, + "step": 1075 + }, + { + "epoch": 0.5271279853031231, + "grad_norm": 0.3576270043849945, + "learning_rate": 4.682982022438093e-06, + "loss": 0.6664, + "step": 1076 + }, + { + "epoch": 0.527617881200245, + "grad_norm": 0.3306131064891815, + "learning_rate": 4.6823461894449885e-06, + "loss": 0.6365, + "step": 1077 + }, + { + "epoch": 0.5281077770973668, + "grad_norm": 0.3483700156211853, + "learning_rate": 4.681709762710042e-06, + "loss": 0.6366, + "step": 1078 + }, + { + "epoch": 0.5285976729944887, + "grad_norm": 0.3481180965900421, + "learning_rate": 4.681072742406408e-06, + "loss": 0.6414, + "step": 1079 + }, + { + "epoch": 0.5290875688916106, + "grad_norm": 0.3466982841491699, + "learning_rate": 4.680435128707395e-06, + "loss": 0.6119, + "step": 1080 + }, + { + "epoch": 0.5295774647887324, + "grad_norm": 0.35319292545318604, + "learning_rate": 4.679796921786477e-06, + "loss": 0.6763, + "step": 1081 + }, + { + "epoch": 0.5300673606858542, + "grad_norm": 0.33957529067993164, + "learning_rate": 4.679158121817287e-06, + "loss": 0.644, + "step": 1082 + }, + { + "epoch": 0.5305572565829761, + "grad_norm": 0.3421860337257385, + "learning_rate": 4.6785187289736215e-06, + "loss": 0.6345, + "step": 1083 + }, + { + "epoch": 0.5310471524800979, + "grad_norm": 0.3383704721927643, + "learning_rate": 4.677878743429438e-06, + "loss": 0.6402, + "step": 1084 + }, + { + "epoch": 0.5315370483772198, + "grad_norm": 0.33505967259407043, + "learning_rate": 4.677238165358854e-06, + "loss": 0.6463, + "step": 1085 + }, + { + "epoch": 0.5320269442743417, + "grad_norm": 0.33692505955696106, + "learning_rate": 4.676596994936149e-06, + "loss": 0.6614, + "step": 1086 + }, + { + "epoch": 0.5325168401714636, + "grad_norm": 0.3422906994819641, + "learning_rate": 4.675955232335764e-06, + "loss": 0.684, + "step": 1087 + }, + { + "epoch": 0.5330067360685854, + "grad_norm": 0.33133259415626526, + "learning_rate": 4.6753128777323e-06, + "loss": 0.6523, + "step": 1088 + }, + { + "epoch": 0.5334966319657073, + "grad_norm": 0.3325001001358032, + "learning_rate": 4.67466993130052e-06, + "loss": 0.6484, + "step": 1089 + }, + { + "epoch": 0.5339865278628292, + "grad_norm": 0.3328482508659363, + "learning_rate": 4.674026393215349e-06, + "loss": 0.6595, + "step": 1090 + }, + { + "epoch": 0.534476423759951, + "grad_norm": 0.3406400680541992, + "learning_rate": 4.673382263651869e-06, + "loss": 0.6405, + "step": 1091 + }, + { + "epoch": 0.5349663196570729, + "grad_norm": 0.3300803005695343, + "learning_rate": 4.6727375427853285e-06, + "loss": 0.629, + "step": 1092 + }, + { + "epoch": 0.5354562155541948, + "grad_norm": 0.34695202112197876, + "learning_rate": 4.672092230791132e-06, + "loss": 0.667, + "step": 1093 + }, + { + "epoch": 0.5359461114513165, + "grad_norm": 0.3438461422920227, + "learning_rate": 4.6714463278448475e-06, + "loss": 0.6396, + "step": 1094 + }, + { + "epoch": 0.5364360073484384, + "grad_norm": 0.33978861570358276, + "learning_rate": 4.670799834122204e-06, + "loss": 0.6649, + "step": 1095 + }, + { + "epoch": 0.5369259032455603, + "grad_norm": 0.34469425678253174, + "learning_rate": 4.6701527497990886e-06, + "loss": 0.6625, + "step": 1096 + }, + { + "epoch": 0.5374157991426822, + "grad_norm": 0.34310537576675415, + "learning_rate": 4.669505075051553e-06, + "loss": 0.6516, + "step": 1097 + }, + { + "epoch": 0.537905695039804, + "grad_norm": 0.34367427229881287, + "learning_rate": 4.668856810055805e-06, + "loss": 0.6483, + "step": 1098 + }, + { + "epoch": 0.5383955909369259, + "grad_norm": 0.33170315623283386, + "learning_rate": 4.668207954988217e-06, + "loss": 0.6468, + "step": 1099 + }, + { + "epoch": 0.5388854868340478, + "grad_norm": 0.3421383798122406, + "learning_rate": 4.66755851002532e-06, + "loss": 0.6819, + "step": 1100 + }, + { + "epoch": 0.5393753827311696, + "grad_norm": 0.3380526304244995, + "learning_rate": 4.666908475343805e-06, + "loss": 0.6373, + "step": 1101 + }, + { + "epoch": 0.5398652786282915, + "grad_norm": 0.35264331102371216, + "learning_rate": 4.666257851120525e-06, + "loss": 0.6699, + "step": 1102 + }, + { + "epoch": 0.5403551745254134, + "grad_norm": 0.3282771408557892, + "learning_rate": 4.6656066375324924e-06, + "loss": 0.6482, + "step": 1103 + }, + { + "epoch": 0.5408450704225352, + "grad_norm": 0.34882423281669617, + "learning_rate": 4.664954834756881e-06, + "loss": 0.665, + "step": 1104 + }, + { + "epoch": 0.541334966319657, + "grad_norm": 0.3674059808254242, + "learning_rate": 4.664302442971024e-06, + "loss": 0.6649, + "step": 1105 + }, + { + "epoch": 0.541824862216779, + "grad_norm": 0.3493945896625519, + "learning_rate": 4.663649462352413e-06, + "loss": 0.6531, + "step": 1106 + }, + { + "epoch": 0.5423147581139008, + "grad_norm": 0.347479909658432, + "learning_rate": 4.662995893078702e-06, + "loss": 0.6499, + "step": 1107 + }, + { + "epoch": 0.5428046540110226, + "grad_norm": 0.3363555669784546, + "learning_rate": 4.6623417353277074e-06, + "loss": 0.6465, + "step": 1108 + }, + { + "epoch": 0.5432945499081445, + "grad_norm": 0.35221952199935913, + "learning_rate": 4.661686989277401e-06, + "loss": 0.6255, + "step": 1109 + }, + { + "epoch": 0.5437844458052664, + "grad_norm": 0.3683142066001892, + "learning_rate": 4.661031655105917e-06, + "loss": 0.6582, + "step": 1110 + }, + { + "epoch": 0.5442743417023882, + "grad_norm": 0.3454713225364685, + "learning_rate": 4.660375732991551e-06, + "loss": 0.6543, + "step": 1111 + }, + { + "epoch": 0.5447642375995101, + "grad_norm": 0.33530518412590027, + "learning_rate": 4.659719223112755e-06, + "loss": 0.6654, + "step": 1112 + }, + { + "epoch": 0.545254133496632, + "grad_norm": 0.3434372544288635, + "learning_rate": 4.659062125648144e-06, + "loss": 0.6548, + "step": 1113 + }, + { + "epoch": 0.5457440293937539, + "grad_norm": 0.33734411001205444, + "learning_rate": 4.658404440776491e-06, + "loss": 0.6547, + "step": 1114 + }, + { + "epoch": 0.5462339252908757, + "grad_norm": 0.339223176240921, + "learning_rate": 4.657746168676731e-06, + "loss": 0.62, + "step": 1115 + }, + { + "epoch": 0.5467238211879976, + "grad_norm": 0.3487626910209656, + "learning_rate": 4.657087309527957e-06, + "loss": 0.6413, + "step": 1116 + }, + { + "epoch": 0.5472137170851195, + "grad_norm": 0.3410091996192932, + "learning_rate": 4.656427863509421e-06, + "loss": 0.6577, + "step": 1117 + }, + { + "epoch": 0.5477036129822412, + "grad_norm": 0.34262603521347046, + "learning_rate": 4.655767830800536e-06, + "loss": 0.6196, + "step": 1118 + }, + { + "epoch": 0.5481935088793631, + "grad_norm": 0.3456190526485443, + "learning_rate": 4.655107211580874e-06, + "loss": 0.6383, + "step": 1119 + }, + { + "epoch": 0.548683404776485, + "grad_norm": 0.3383759558200836, + "learning_rate": 4.654446006030168e-06, + "loss": 0.6492, + "step": 1120 + }, + { + "epoch": 0.5491733006736068, + "grad_norm": 0.3437906801700592, + "learning_rate": 4.653784214328309e-06, + "loss": 0.6358, + "step": 1121 + }, + { + "epoch": 0.5496631965707287, + "grad_norm": 0.34938323497772217, + "learning_rate": 4.653121836655348e-06, + "loss": 0.6887, + "step": 1122 + }, + { + "epoch": 0.5501530924678506, + "grad_norm": 0.35022029280662537, + "learning_rate": 4.652458873191496e-06, + "loss": 0.6198, + "step": 1123 + }, + { + "epoch": 0.5506429883649725, + "grad_norm": 0.36812126636505127, + "learning_rate": 4.651795324117121e-06, + "loss": 0.6725, + "step": 1124 + }, + { + "epoch": 0.5511328842620943, + "grad_norm": 0.33869123458862305, + "learning_rate": 4.651131189612753e-06, + "loss": 0.6463, + "step": 1125 + }, + { + "epoch": 0.5516227801592162, + "grad_norm": 0.3331858217716217, + "learning_rate": 4.6504664698590795e-06, + "loss": 0.6208, + "step": 1126 + }, + { + "epoch": 0.5521126760563381, + "grad_norm": 0.37185487151145935, + "learning_rate": 4.64980116503695e-06, + "loss": 0.6047, + "step": 1127 + }, + { + "epoch": 0.5526025719534599, + "grad_norm": 0.33874985575675964, + "learning_rate": 4.64913527532737e-06, + "loss": 0.6609, + "step": 1128 + }, + { + "epoch": 0.5530924678505817, + "grad_norm": 0.3434850871562958, + "learning_rate": 4.648468800911506e-06, + "loss": 0.64, + "step": 1129 + }, + { + "epoch": 0.5535823637477036, + "grad_norm": 0.3372526168823242, + "learning_rate": 4.64780174197068e-06, + "loss": 0.6444, + "step": 1130 + }, + { + "epoch": 0.5540722596448254, + "grad_norm": 0.34443947672843933, + "learning_rate": 4.64713409868638e-06, + "loss": 0.6298, + "step": 1131 + }, + { + "epoch": 0.5545621555419473, + "grad_norm": 0.3271819055080414, + "learning_rate": 4.646465871240246e-06, + "loss": 0.6408, + "step": 1132 + }, + { + "epoch": 0.5550520514390692, + "grad_norm": 0.35289159417152405, + "learning_rate": 4.645797059814083e-06, + "loss": 0.6305, + "step": 1133 + }, + { + "epoch": 0.5555419473361911, + "grad_norm": 0.3394930362701416, + "learning_rate": 4.645127664589848e-06, + "loss": 0.6392, + "step": 1134 + }, + { + "epoch": 0.5560318432333129, + "grad_norm": 0.34543678164482117, + "learning_rate": 4.644457685749663e-06, + "loss": 0.6357, + "step": 1135 + }, + { + "epoch": 0.5565217391304348, + "grad_norm": 0.34728914499282837, + "learning_rate": 4.643787123475806e-06, + "loss": 0.6703, + "step": 1136 + }, + { + "epoch": 0.5570116350275567, + "grad_norm": 0.3504582643508911, + "learning_rate": 4.643115977950713e-06, + "loss": 0.6491, + "step": 1137 + }, + { + "epoch": 0.5575015309246785, + "grad_norm": 0.34880971908569336, + "learning_rate": 4.642444249356981e-06, + "loss": 0.6385, + "step": 1138 + }, + { + "epoch": 0.5579914268218004, + "grad_norm": 0.3401770293712616, + "learning_rate": 4.641771937877364e-06, + "loss": 0.6738, + "step": 1139 + }, + { + "epoch": 0.5584813227189223, + "grad_norm": 0.3317437171936035, + "learning_rate": 4.641099043694775e-06, + "loss": 0.6203, + "step": 1140 + }, + { + "epoch": 0.558971218616044, + "grad_norm": 0.3573921322822571, + "learning_rate": 4.640425566992284e-06, + "loss": 0.657, + "step": 1141 + }, + { + "epoch": 0.5594611145131659, + "grad_norm": 0.361086368560791, + "learning_rate": 4.639751507953124e-06, + "loss": 0.6261, + "step": 1142 + }, + { + "epoch": 0.5599510104102878, + "grad_norm": 0.35282137989997864, + "learning_rate": 4.639076866760681e-06, + "loss": 0.6494, + "step": 1143 + }, + { + "epoch": 0.5604409063074097, + "grad_norm": 0.3424915671348572, + "learning_rate": 4.638401643598504e-06, + "loss": 0.6582, + "step": 1144 + }, + { + "epoch": 0.5609308022045315, + "grad_norm": 0.3451825976371765, + "learning_rate": 4.6377258386502956e-06, + "loss": 0.6469, + "step": 1145 + }, + { + "epoch": 0.5614206981016534, + "grad_norm": 0.38539865612983704, + "learning_rate": 4.637049452099921e-06, + "loss": 0.6455, + "step": 1146 + }, + { + "epoch": 0.5619105939987753, + "grad_norm": 0.34357380867004395, + "learning_rate": 4.636372484131402e-06, + "loss": 0.6174, + "step": 1147 + }, + { + "epoch": 0.5624004898958971, + "grad_norm": 0.3448379337787628, + "learning_rate": 4.6356949349289164e-06, + "loss": 0.6623, + "step": 1148 + }, + { + "epoch": 0.562890385793019, + "grad_norm": 0.33698979020118713, + "learning_rate": 4.635016804676804e-06, + "loss": 0.6447, + "step": 1149 + }, + { + "epoch": 0.5633802816901409, + "grad_norm": 0.3464658260345459, + "learning_rate": 4.634338093559561e-06, + "loss": 0.6389, + "step": 1150 + }, + { + "epoch": 0.5638701775872627, + "grad_norm": 0.3458057940006256, + "learning_rate": 4.633658801761841e-06, + "loss": 0.6406, + "step": 1151 + }, + { + "epoch": 0.5643600734843846, + "grad_norm": 0.33887600898742676, + "learning_rate": 4.6329789294684554e-06, + "loss": 0.639, + "step": 1152 + }, + { + "epoch": 0.5648499693815064, + "grad_norm": 0.3495391309261322, + "learning_rate": 4.632298476864376e-06, + "loss": 0.6676, + "step": 1153 + }, + { + "epoch": 0.5653398652786283, + "grad_norm": 0.34821441769599915, + "learning_rate": 4.631617444134729e-06, + "loss": 0.6338, + "step": 1154 + }, + { + "epoch": 0.5658297611757501, + "grad_norm": 0.3480973243713379, + "learning_rate": 4.630935831464801e-06, + "loss": 0.6485, + "step": 1155 + }, + { + "epoch": 0.566319657072872, + "grad_norm": 0.34872427582740784, + "learning_rate": 4.630253639040035e-06, + "loss": 0.6717, + "step": 1156 + }, + { + "epoch": 0.5668095529699939, + "grad_norm": 0.35412171483039856, + "learning_rate": 4.629570867046032e-06, + "loss": 0.6638, + "step": 1157 + }, + { + "epoch": 0.5672994488671157, + "grad_norm": 0.3398905396461487, + "learning_rate": 4.628887515668552e-06, + "loss": 0.6222, + "step": 1158 + }, + { + "epoch": 0.5677893447642376, + "grad_norm": 0.3369976878166199, + "learning_rate": 4.628203585093511e-06, + "loss": 0.6314, + "step": 1159 + }, + { + "epoch": 0.5682792406613595, + "grad_norm": 0.3475426733493805, + "learning_rate": 4.627519075506983e-06, + "loss": 0.6509, + "step": 1160 + }, + { + "epoch": 0.5687691365584813, + "grad_norm": 0.33894526958465576, + "learning_rate": 4.6268339870952e-06, + "loss": 0.6242, + "step": 1161 + }, + { + "epoch": 0.5692590324556032, + "grad_norm": 0.33706197142601013, + "learning_rate": 4.626148320044551e-06, + "loss": 0.6349, + "step": 1162 + }, + { + "epoch": 0.5697489283527251, + "grad_norm": 0.34657469391822815, + "learning_rate": 4.625462074541582e-06, + "loss": 0.6365, + "step": 1163 + }, + { + "epoch": 0.570238824249847, + "grad_norm": 0.33160915970802307, + "learning_rate": 4.624775250772999e-06, + "loss": 0.6154, + "step": 1164 + }, + { + "epoch": 0.5707287201469687, + "grad_norm": 0.3429828882217407, + "learning_rate": 4.62408784892566e-06, + "loss": 0.6216, + "step": 1165 + }, + { + "epoch": 0.5712186160440906, + "grad_norm": 0.3496789038181305, + "learning_rate": 4.623399869186587e-06, + "loss": 0.6116, + "step": 1166 + }, + { + "epoch": 0.5717085119412125, + "grad_norm": 0.3350716531276703, + "learning_rate": 4.622711311742954e-06, + "loss": 0.6266, + "step": 1167 + }, + { + "epoch": 0.5721984078383343, + "grad_norm": 0.3509974777698517, + "learning_rate": 4.6220221767820926e-06, + "loss": 0.6623, + "step": 1168 + }, + { + "epoch": 0.5726883037354562, + "grad_norm": 0.33819615840911865, + "learning_rate": 4.621332464491495e-06, + "loss": 0.6323, + "step": 1169 + }, + { + "epoch": 0.5731781996325781, + "grad_norm": 0.3499974310398102, + "learning_rate": 4.620642175058808e-06, + "loss": 0.6694, + "step": 1170 + }, + { + "epoch": 0.5736680955296999, + "grad_norm": 0.34968307614326477, + "learning_rate": 4.619951308671836e-06, + "loss": 0.6417, + "step": 1171 + }, + { + "epoch": 0.5741579914268218, + "grad_norm": 0.34229612350463867, + "learning_rate": 4.6192598655185396e-06, + "loss": 0.6577, + "step": 1172 + }, + { + "epoch": 0.5746478873239437, + "grad_norm": 0.35713833570480347, + "learning_rate": 4.618567845787036e-06, + "loss": 0.6494, + "step": 1173 + }, + { + "epoch": 0.5751377832210656, + "grad_norm": 0.3432537913322449, + "learning_rate": 4.617875249665601e-06, + "loss": 0.6442, + "step": 1174 + }, + { + "epoch": 0.5756276791181874, + "grad_norm": 0.34398871660232544, + "learning_rate": 4.617182077342668e-06, + "loss": 0.6111, + "step": 1175 + }, + { + "epoch": 0.5761175750153092, + "grad_norm": 0.3581888675689697, + "learning_rate": 4.616488329006822e-06, + "loss": 0.6443, + "step": 1176 + }, + { + "epoch": 0.5766074709124311, + "grad_norm": 0.34683945775032043, + "learning_rate": 4.615794004846811e-06, + "loss": 0.6402, + "step": 1177 + }, + { + "epoch": 0.5770973668095529, + "grad_norm": 0.3287530541419983, + "learning_rate": 4.615099105051536e-06, + "loss": 0.6354, + "step": 1178 + }, + { + "epoch": 0.5775872627066748, + "grad_norm": 0.33705562353134155, + "learning_rate": 4.614403629810055e-06, + "loss": 0.628, + "step": 1179 + }, + { + "epoch": 0.5780771586037967, + "grad_norm": 0.3340762257575989, + "learning_rate": 4.613707579311584e-06, + "loss": 0.6575, + "step": 1180 + }, + { + "epoch": 0.5785670545009186, + "grad_norm": 0.34472784399986267, + "learning_rate": 4.613010953745494e-06, + "loss": 0.6307, + "step": 1181 + }, + { + "epoch": 0.5790569503980404, + "grad_norm": 0.3373768925666809, + "learning_rate": 4.612313753301313e-06, + "loss": 0.638, + "step": 1182 + }, + { + "epoch": 0.5795468462951623, + "grad_norm": 0.35141313076019287, + "learning_rate": 4.611615978168725e-06, + "loss": 0.6398, + "step": 1183 + }, + { + "epoch": 0.5800367421922842, + "grad_norm": 0.35514089465141296, + "learning_rate": 4.610917628537571e-06, + "loss": 0.6478, + "step": 1184 + }, + { + "epoch": 0.580526638089406, + "grad_norm": 0.3332272469997406, + "learning_rate": 4.61021870459785e-06, + "loss": 0.6333, + "step": 1185 + }, + { + "epoch": 0.5810165339865279, + "grad_norm": 0.3489050269126892, + "learning_rate": 4.6095192065397125e-06, + "loss": 0.6534, + "step": 1186 + }, + { + "epoch": 0.5815064298836498, + "grad_norm": 0.3449384272098541, + "learning_rate": 4.608819134553469e-06, + "loss": 0.6622, + "step": 1187 + }, + { + "epoch": 0.5819963257807715, + "grad_norm": 0.3545195162296295, + "learning_rate": 4.608118488829587e-06, + "loss": 0.6835, + "step": 1188 + }, + { + "epoch": 0.5824862216778934, + "grad_norm": 0.37098783254623413, + "learning_rate": 4.607417269558685e-06, + "loss": 0.6472, + "step": 1189 + }, + { + "epoch": 0.5829761175750153, + "grad_norm": 0.32945647835731506, + "learning_rate": 4.606715476931543e-06, + "loss": 0.6581, + "step": 1190 + }, + { + "epoch": 0.5834660134721372, + "grad_norm": 0.33627375960350037, + "learning_rate": 4.606013111139095e-06, + "loss": 0.6253, + "step": 1191 + }, + { + "epoch": 0.583955909369259, + "grad_norm": 0.34866514801979065, + "learning_rate": 4.605310172372429e-06, + "loss": 0.6474, + "step": 1192 + }, + { + "epoch": 0.5844458052663809, + "grad_norm": 0.34531986713409424, + "learning_rate": 4.6046066608227925e-06, + "loss": 0.6454, + "step": 1193 + }, + { + "epoch": 0.5849357011635028, + "grad_norm": 0.35326138138771057, + "learning_rate": 4.6039025766815855e-06, + "loss": 0.6415, + "step": 1194 + }, + { + "epoch": 0.5854255970606246, + "grad_norm": 0.3371431529521942, + "learning_rate": 4.6031979201403655e-06, + "loss": 0.6329, + "step": 1195 + }, + { + "epoch": 0.5859154929577465, + "grad_norm": 0.34482115507125854, + "learning_rate": 4.602492691390847e-06, + "loss": 0.6554, + "step": 1196 + }, + { + "epoch": 0.5864053888548684, + "grad_norm": 0.3397802412509918, + "learning_rate": 4.601786890624896e-06, + "loss": 0.6374, + "step": 1197 + }, + { + "epoch": 0.5868952847519902, + "grad_norm": 0.34569984674453735, + "learning_rate": 4.601080518034539e-06, + "loss": 0.6305, + "step": 1198 + }, + { + "epoch": 0.587385180649112, + "grad_norm": 0.34162670373916626, + "learning_rate": 4.6003735738119546e-06, + "loss": 0.6238, + "step": 1199 + }, + { + "epoch": 0.5878750765462339, + "grad_norm": 0.32768315076828003, + "learning_rate": 4.59966605814948e-06, + "loss": 0.6465, + "step": 1200 + }, + { + "epoch": 0.5883649724433558, + "grad_norm": 0.33572009205818176, + "learning_rate": 4.598957971239603e-06, + "loss": 0.6497, + "step": 1201 + }, + { + "epoch": 0.5888548683404776, + "grad_norm": 0.34493955969810486, + "learning_rate": 4.598249313274972e-06, + "loss": 0.6389, + "step": 1202 + }, + { + "epoch": 0.5893447642375995, + "grad_norm": 0.32795292139053345, + "learning_rate": 4.5975400844483885e-06, + "loss": 0.648, + "step": 1203 + }, + { + "epoch": 0.5898346601347214, + "grad_norm": 0.34611472487449646, + "learning_rate": 4.596830284952809e-06, + "loss": 0.6359, + "step": 1204 + }, + { + "epoch": 0.5903245560318432, + "grad_norm": 0.353735089302063, + "learning_rate": 4.596119914981346e-06, + "loss": 0.6448, + "step": 1205 + }, + { + "epoch": 0.5908144519289651, + "grad_norm": 0.3331935703754425, + "learning_rate": 4.5954089747272665e-06, + "loss": 0.6347, + "step": 1206 + }, + { + "epoch": 0.591304347826087, + "grad_norm": 0.35150009393692017, + "learning_rate": 4.5946974643839934e-06, + "loss": 0.6409, + "step": 1207 + }, + { + "epoch": 0.5917942437232088, + "grad_norm": 0.3617503345012665, + "learning_rate": 4.593985384145103e-06, + "loss": 0.665, + "step": 1208 + }, + { + "epoch": 0.5922841396203307, + "grad_norm": 0.3458351492881775, + "learning_rate": 4.593272734204331e-06, + "loss": 0.6473, + "step": 1209 + }, + { + "epoch": 0.5927740355174526, + "grad_norm": 0.35933324694633484, + "learning_rate": 4.592559514755562e-06, + "loss": 0.6561, + "step": 1210 + }, + { + "epoch": 0.5932639314145745, + "grad_norm": 0.34097525477409363, + "learning_rate": 4.591845725992841e-06, + "loss": 0.6501, + "step": 1211 + }, + { + "epoch": 0.5937538273116962, + "grad_norm": 0.3733212649822235, + "learning_rate": 4.591131368110363e-06, + "loss": 0.6705, + "step": 1212 + }, + { + "epoch": 0.5942437232088181, + "grad_norm": 0.3457193374633789, + "learning_rate": 4.590416441302483e-06, + "loss": 0.641, + "step": 1213 + }, + { + "epoch": 0.59473361910594, + "grad_norm": 0.36639225482940674, + "learning_rate": 4.589700945763707e-06, + "loss": 0.6582, + "step": 1214 + }, + { + "epoch": 0.5952235150030618, + "grad_norm": 0.3443004786968231, + "learning_rate": 4.588984881688696e-06, + "loss": 0.6359, + "step": 1215 + }, + { + "epoch": 0.5957134109001837, + "grad_norm": 0.33908525109291077, + "learning_rate": 4.588268249272269e-06, + "loss": 0.5971, + "step": 1216 + }, + { + "epoch": 0.5962033067973056, + "grad_norm": 0.3528711199760437, + "learning_rate": 4.5875510487093946e-06, + "loss": 0.6577, + "step": 1217 + }, + { + "epoch": 0.5966932026944274, + "grad_norm": 0.3453948199748993, + "learning_rate": 4.5868332801952e-06, + "loss": 0.665, + "step": 1218 + }, + { + "epoch": 0.5971830985915493, + "grad_norm": 0.3543250858783722, + "learning_rate": 4.586114943924964e-06, + "loss": 0.6449, + "step": 1219 + }, + { + "epoch": 0.5976729944886712, + "grad_norm": 0.35478734970092773, + "learning_rate": 4.585396040094124e-06, + "loss": 0.634, + "step": 1220 + }, + { + "epoch": 0.5981628903857931, + "grad_norm": 0.35524943470954895, + "learning_rate": 4.584676568898267e-06, + "loss": 0.624, + "step": 1221 + }, + { + "epoch": 0.5986527862829149, + "grad_norm": 0.35198506712913513, + "learning_rate": 4.583956530533137e-06, + "loss": 0.6355, + "step": 1222 + }, + { + "epoch": 0.5991426821800367, + "grad_norm": 0.355237752199173, + "learning_rate": 4.583235925194632e-06, + "loss": 0.6491, + "step": 1223 + }, + { + "epoch": 0.5996325780771586, + "grad_norm": 0.348114550113678, + "learning_rate": 4.582514753078805e-06, + "loss": 0.6518, + "step": 1224 + }, + { + "epoch": 0.6001224739742804, + "grad_norm": 0.351275235414505, + "learning_rate": 4.581793014381861e-06, + "loss": 0.6102, + "step": 1225 + }, + { + "epoch": 0.6006123698714023, + "grad_norm": 0.3485579490661621, + "learning_rate": 4.58107070930016e-06, + "loss": 0.6296, + "step": 1226 + }, + { + "epoch": 0.6011022657685242, + "grad_norm": 0.3615967929363251, + "learning_rate": 4.580347838030219e-06, + "loss": 0.6501, + "step": 1227 + }, + { + "epoch": 0.601592161665646, + "grad_norm": 0.33674904704093933, + "learning_rate": 4.579624400768704e-06, + "loss": 0.6393, + "step": 1228 + }, + { + "epoch": 0.6020820575627679, + "grad_norm": 0.3606870174407959, + "learning_rate": 4.578900397712439e-06, + "loss": 0.6315, + "step": 1229 + }, + { + "epoch": 0.6025719534598898, + "grad_norm": 0.3589491844177246, + "learning_rate": 4.5781758290584e-06, + "loss": 0.632, + "step": 1230 + }, + { + "epoch": 0.6030618493570117, + "grad_norm": 0.3339066803455353, + "learning_rate": 4.577450695003717e-06, + "loss": 0.6391, + "step": 1231 + }, + { + "epoch": 0.6035517452541335, + "grad_norm": 0.3310963213443756, + "learning_rate": 4.576724995745674e-06, + "loss": 0.6447, + "step": 1232 + }, + { + "epoch": 0.6040416411512554, + "grad_norm": 0.3522682785987854, + "learning_rate": 4.5759987314817115e-06, + "loss": 0.6486, + "step": 1233 + }, + { + "epoch": 0.6045315370483773, + "grad_norm": 0.3547263443470001, + "learning_rate": 4.575271902409418e-06, + "loss": 0.6352, + "step": 1234 + }, + { + "epoch": 0.605021432945499, + "grad_norm": 0.34916889667510986, + "learning_rate": 4.574544508726539e-06, + "loss": 0.6312, + "step": 1235 + }, + { + "epoch": 0.6055113288426209, + "grad_norm": 0.33695587515830994, + "learning_rate": 4.573816550630977e-06, + "loss": 0.6345, + "step": 1236 + }, + { + "epoch": 0.6060012247397428, + "grad_norm": 0.345257967710495, + "learning_rate": 4.57308802832078e-06, + "loss": 0.6353, + "step": 1237 + }, + { + "epoch": 0.6064911206368646, + "grad_norm": 0.36001551151275635, + "learning_rate": 4.572358941994158e-06, + "loss": 0.6327, + "step": 1238 + }, + { + "epoch": 0.6069810165339865, + "grad_norm": 0.3538808822631836, + "learning_rate": 4.571629291849467e-06, + "loss": 0.6475, + "step": 1239 + }, + { + "epoch": 0.6074709124311084, + "grad_norm": 0.34200891852378845, + "learning_rate": 4.570899078085223e-06, + "loss": 0.6101, + "step": 1240 + }, + { + "epoch": 0.6079608083282303, + "grad_norm": 0.34063735604286194, + "learning_rate": 4.57016830090009e-06, + "loss": 0.6288, + "step": 1241 + }, + { + "epoch": 0.6084507042253521, + "grad_norm": 0.3665306866168976, + "learning_rate": 4.569436960492889e-06, + "loss": 0.6801, + "step": 1242 + }, + { + "epoch": 0.608940600122474, + "grad_norm": 0.35070276260375977, + "learning_rate": 4.5687050570625915e-06, + "loss": 0.6408, + "step": 1243 + }, + { + "epoch": 0.6094304960195959, + "grad_norm": 0.33832818269729614, + "learning_rate": 4.5679725908083236e-06, + "loss": 0.6426, + "step": 1244 + }, + { + "epoch": 0.6099203919167177, + "grad_norm": 0.34335771203041077, + "learning_rate": 4.5672395619293645e-06, + "loss": 0.6562, + "step": 1245 + }, + { + "epoch": 0.6104102878138395, + "grad_norm": 0.3389594554901123, + "learning_rate": 4.566505970625147e-06, + "loss": 0.6519, + "step": 1246 + }, + { + "epoch": 0.6109001837109614, + "grad_norm": 0.33421632647514343, + "learning_rate": 4.565771817095255e-06, + "loss": 0.6308, + "step": 1247 + }, + { + "epoch": 0.6113900796080833, + "grad_norm": 0.3511391580104828, + "learning_rate": 4.565037101539428e-06, + "loss": 0.6095, + "step": 1248 + }, + { + "epoch": 0.6118799755052051, + "grad_norm": 0.3483385741710663, + "learning_rate": 4.564301824157557e-06, + "loss": 0.6042, + "step": 1249 + }, + { + "epoch": 0.612369871402327, + "grad_norm": 0.33592280745506287, + "learning_rate": 4.563565985149684e-06, + "loss": 0.6507, + "step": 1250 + }, + { + "epoch": 0.6128597672994489, + "grad_norm": 0.35174697637557983, + "learning_rate": 4.562829584716007e-06, + "loss": 0.6316, + "step": 1251 + }, + { + "epoch": 0.6133496631965707, + "grad_norm": 0.34856846928596497, + "learning_rate": 4.562092623056875e-06, + "loss": 0.6196, + "step": 1252 + }, + { + "epoch": 0.6138395590936926, + "grad_norm": 0.3431689143180847, + "learning_rate": 4.5613551003727905e-06, + "loss": 0.6273, + "step": 1253 + }, + { + "epoch": 0.6143294549908145, + "grad_norm": 0.34159907698631287, + "learning_rate": 4.560617016864408e-06, + "loss": 0.6265, + "step": 1254 + }, + { + "epoch": 0.6148193508879363, + "grad_norm": 0.3400711715221405, + "learning_rate": 4.5598783727325345e-06, + "loss": 0.6318, + "step": 1255 + }, + { + "epoch": 0.6153092467850582, + "grad_norm": 0.3741343319416046, + "learning_rate": 4.559139168178131e-06, + "loss": 0.6409, + "step": 1256 + }, + { + "epoch": 0.6157991426821801, + "grad_norm": 0.342777818441391, + "learning_rate": 4.558399403402308e-06, + "loss": 0.6472, + "step": 1257 + }, + { + "epoch": 0.616289038579302, + "grad_norm": 0.3362821936607361, + "learning_rate": 4.557659078606332e-06, + "loss": 0.6174, + "step": 1258 + }, + { + "epoch": 0.6167789344764237, + "grad_norm": 0.3407340347766876, + "learning_rate": 4.5569181939916195e-06, + "loss": 0.6475, + "step": 1259 + }, + { + "epoch": 0.6172688303735456, + "grad_norm": 0.3264087736606598, + "learning_rate": 4.5561767497597385e-06, + "loss": 0.6583, + "step": 1260 + }, + { + "epoch": 0.6177587262706675, + "grad_norm": 0.3396836221218109, + "learning_rate": 4.555434746112412e-06, + "loss": 0.656, + "step": 1261 + }, + { + "epoch": 0.6182486221677893, + "grad_norm": 0.3620426654815674, + "learning_rate": 4.5546921832515145e-06, + "loss": 0.642, + "step": 1262 + }, + { + "epoch": 0.6187385180649112, + "grad_norm": 0.3363342881202698, + "learning_rate": 4.5539490613790715e-06, + "loss": 0.6303, + "step": 1263 + }, + { + "epoch": 0.6192284139620331, + "grad_norm": 0.3500632047653198, + "learning_rate": 4.55320538069726e-06, + "loss": 0.6407, + "step": 1264 + }, + { + "epoch": 0.6197183098591549, + "grad_norm": 0.35342806577682495, + "learning_rate": 4.55246114140841e-06, + "loss": 0.6814, + "step": 1265 + }, + { + "epoch": 0.6202082057562768, + "grad_norm": 0.336715966463089, + "learning_rate": 4.5517163437150056e-06, + "loss": 0.6444, + "step": 1266 + }, + { + "epoch": 0.6206981016533987, + "grad_norm": 0.3470943868160248, + "learning_rate": 4.55097098781968e-06, + "loss": 0.6302, + "step": 1267 + }, + { + "epoch": 0.6211879975505206, + "grad_norm": 0.3440588116645813, + "learning_rate": 4.5502250739252165e-06, + "loss": 0.637, + "step": 1268 + }, + { + "epoch": 0.6216778934476423, + "grad_norm": 0.34795132279396057, + "learning_rate": 4.5494786022345565e-06, + "loss": 0.6319, + "step": 1269 + }, + { + "epoch": 0.6221677893447642, + "grad_norm": 0.35112684965133667, + "learning_rate": 4.548731572950788e-06, + "loss": 0.6207, + "step": 1270 + }, + { + "epoch": 0.6226576852418861, + "grad_norm": 0.34473106265068054, + "learning_rate": 4.547983986277151e-06, + "loss": 0.6297, + "step": 1271 + }, + { + "epoch": 0.6231475811390079, + "grad_norm": 0.3364686667919159, + "learning_rate": 4.547235842417041e-06, + "loss": 0.6783, + "step": 1272 + }, + { + "epoch": 0.6236374770361298, + "grad_norm": 0.3369466960430145, + "learning_rate": 4.546487141574e-06, + "loss": 0.6229, + "step": 1273 + }, + { + "epoch": 0.6241273729332517, + "grad_norm": 0.3586369752883911, + "learning_rate": 4.545737883951724e-06, + "loss": 0.6675, + "step": 1274 + }, + { + "epoch": 0.6246172688303735, + "grad_norm": 0.34704333543777466, + "learning_rate": 4.544988069754061e-06, + "loss": 0.6376, + "step": 1275 + }, + { + "epoch": 0.6251071647274954, + "grad_norm": 0.3543643057346344, + "learning_rate": 4.544237699185012e-06, + "loss": 0.6614, + "step": 1276 + }, + { + "epoch": 0.6255970606246173, + "grad_norm": 0.3370320796966553, + "learning_rate": 4.543486772448722e-06, + "loss": 0.6609, + "step": 1277 + }, + { + "epoch": 0.6260869565217392, + "grad_norm": 0.35931840538978577, + "learning_rate": 4.542735289749498e-06, + "loss": 0.6458, + "step": 1278 + }, + { + "epoch": 0.626576852418861, + "grad_norm": 0.35878509283065796, + "learning_rate": 4.5419832512917895e-06, + "loss": 0.658, + "step": 1279 + }, + { + "epoch": 0.6270667483159829, + "grad_norm": 0.3401985168457031, + "learning_rate": 4.5412306572802014e-06, + "loss": 0.6241, + "step": 1280 + }, + { + "epoch": 0.6275566442131048, + "grad_norm": 0.3442074656486511, + "learning_rate": 4.540477507919489e-06, + "loss": 0.6685, + "step": 1281 + }, + { + "epoch": 0.6280465401102265, + "grad_norm": 0.3460010290145874, + "learning_rate": 4.539723803414557e-06, + "loss": 0.6107, + "step": 1282 + }, + { + "epoch": 0.6285364360073484, + "grad_norm": 0.3613050580024719, + "learning_rate": 4.538969543970465e-06, + "loss": 0.6691, + "step": 1283 + }, + { + "epoch": 0.6290263319044703, + "grad_norm": 0.3598838448524475, + "learning_rate": 4.53821472979242e-06, + "loss": 0.6615, + "step": 1284 + }, + { + "epoch": 0.6295162278015921, + "grad_norm": 0.3557281792163849, + "learning_rate": 4.537459361085781e-06, + "loss": 0.6287, + "step": 1285 + }, + { + "epoch": 0.630006123698714, + "grad_norm": 0.33958539366722107, + "learning_rate": 4.5367034380560584e-06, + "loss": 0.6398, + "step": 1286 + }, + { + "epoch": 0.6304960195958359, + "grad_norm": 0.36244890093803406, + "learning_rate": 4.535946960908913e-06, + "loss": 0.6518, + "step": 1287 + }, + { + "epoch": 0.6309859154929578, + "grad_norm": 0.3795658349990845, + "learning_rate": 4.535189929850156e-06, + "loss": 0.6558, + "step": 1288 + }, + { + "epoch": 0.6314758113900796, + "grad_norm": 0.359651118516922, + "learning_rate": 4.534432345085751e-06, + "loss": 0.6182, + "step": 1289 + }, + { + "epoch": 0.6319657072872015, + "grad_norm": 0.37145259976387024, + "learning_rate": 4.533674206821809e-06, + "loss": 0.6564, + "step": 1290 + }, + { + "epoch": 0.6324556031843234, + "grad_norm": 0.3477351665496826, + "learning_rate": 4.532915515264595e-06, + "loss": 0.648, + "step": 1291 + }, + { + "epoch": 0.6329454990814452, + "grad_norm": 0.33393770456314087, + "learning_rate": 4.532156270620522e-06, + "loss": 0.6628, + "step": 1292 + }, + { + "epoch": 0.633435394978567, + "grad_norm": 0.35315823554992676, + "learning_rate": 4.531396473096156e-06, + "loss": 0.6305, + "step": 1293 + }, + { + "epoch": 0.6339252908756889, + "grad_norm": 0.35018977522850037, + "learning_rate": 4.53063612289821e-06, + "loss": 0.645, + "step": 1294 + }, + { + "epoch": 0.6344151867728107, + "grad_norm": 0.36220550537109375, + "learning_rate": 4.529875220233551e-06, + "loss": 0.6243, + "step": 1295 + }, + { + "epoch": 0.6349050826699326, + "grad_norm": 0.35167255997657776, + "learning_rate": 4.5291137653091935e-06, + "loss": 0.6497, + "step": 1296 + }, + { + "epoch": 0.6353949785670545, + "grad_norm": 0.36633917689323425, + "learning_rate": 4.528351758332303e-06, + "loss": 0.6378, + "step": 1297 + }, + { + "epoch": 0.6358848744641764, + "grad_norm": 0.3628346621990204, + "learning_rate": 4.5275891995101975e-06, + "loss": 0.6283, + "step": 1298 + }, + { + "epoch": 0.6363747703612982, + "grad_norm": 0.34469640254974365, + "learning_rate": 4.526826089050341e-06, + "loss": 0.6366, + "step": 1299 + }, + { + "epoch": 0.6368646662584201, + "grad_norm": 0.3598330020904541, + "learning_rate": 4.526062427160353e-06, + "loss": 0.6479, + "step": 1300 + }, + { + "epoch": 0.637354562155542, + "grad_norm": 0.3442913591861725, + "learning_rate": 4.525298214047995e-06, + "loss": 0.6231, + "step": 1301 + }, + { + "epoch": 0.6378444580526638, + "grad_norm": 0.3670358955860138, + "learning_rate": 4.5245334499211874e-06, + "loss": 0.6407, + "step": 1302 + }, + { + "epoch": 0.6383343539497857, + "grad_norm": 0.36164307594299316, + "learning_rate": 4.523768134987995e-06, + "loss": 0.6431, + "step": 1303 + }, + { + "epoch": 0.6388242498469076, + "grad_norm": 0.33182641863822937, + "learning_rate": 4.523002269456633e-06, + "loss": 0.6371, + "step": 1304 + }, + { + "epoch": 0.6393141457440293, + "grad_norm": 0.3582742214202881, + "learning_rate": 4.522235853535468e-06, + "loss": 0.6212, + "step": 1305 + }, + { + "epoch": 0.6398040416411512, + "grad_norm": 0.3448125123977661, + "learning_rate": 4.521468887433016e-06, + "loss": 0.6476, + "step": 1306 + }, + { + "epoch": 0.6402939375382731, + "grad_norm": 0.355258584022522, + "learning_rate": 4.520701371357942e-06, + "loss": 0.6284, + "step": 1307 + }, + { + "epoch": 0.640783833435395, + "grad_norm": 0.3545528054237366, + "learning_rate": 4.519933305519061e-06, + "loss": 0.6225, + "step": 1308 + }, + { + "epoch": 0.6412737293325168, + "grad_norm": 0.35198697447776794, + "learning_rate": 4.5191646901253375e-06, + "loss": 0.6257, + "step": 1309 + }, + { + "epoch": 0.6417636252296387, + "grad_norm": 0.3620002567768097, + "learning_rate": 4.518395525385884e-06, + "loss": 0.642, + "step": 1310 + }, + { + "epoch": 0.6422535211267606, + "grad_norm": 0.35877859592437744, + "learning_rate": 4.517625811509966e-06, + "loss": 0.66, + "step": 1311 + }, + { + "epoch": 0.6427434170238824, + "grad_norm": 0.3415077328681946, + "learning_rate": 4.5168555487069955e-06, + "loss": 0.615, + "step": 1312 + }, + { + "epoch": 0.6432333129210043, + "grad_norm": 0.34771469235420227, + "learning_rate": 4.516084737186534e-06, + "loss": 0.6361, + "step": 1313 + }, + { + "epoch": 0.6437232088181262, + "grad_norm": 0.35810625553131104, + "learning_rate": 4.515313377158295e-06, + "loss": 0.6555, + "step": 1314 + }, + { + "epoch": 0.6442131047152481, + "grad_norm": 0.36541587114334106, + "learning_rate": 4.514541468832137e-06, + "loss": 0.6216, + "step": 1315 + }, + { + "epoch": 0.6447030006123698, + "grad_norm": 0.3559669554233551, + "learning_rate": 4.5137690124180714e-06, + "loss": 0.6304, + "step": 1316 + }, + { + "epoch": 0.6451928965094917, + "grad_norm": 0.3511303663253784, + "learning_rate": 4.512996008126256e-06, + "loss": 0.6497, + "step": 1317 + }, + { + "epoch": 0.6456827924066136, + "grad_norm": 0.3545239269733429, + "learning_rate": 4.512222456166999e-06, + "loss": 0.6696, + "step": 1318 + }, + { + "epoch": 0.6461726883037354, + "grad_norm": 0.35808631777763367, + "learning_rate": 4.511448356750759e-06, + "loss": 0.6499, + "step": 1319 + }, + { + "epoch": 0.6466625842008573, + "grad_norm": 0.34952282905578613, + "learning_rate": 4.51067371008814e-06, + "loss": 0.628, + "step": 1320 + }, + { + "epoch": 0.6471524800979792, + "grad_norm": 0.33353301882743835, + "learning_rate": 4.509898516389899e-06, + "loss": 0.6132, + "step": 1321 + }, + { + "epoch": 0.647642375995101, + "grad_norm": 0.3683788478374481, + "learning_rate": 4.509122775866937e-06, + "loss": 0.6341, + "step": 1322 + }, + { + "epoch": 0.6481322718922229, + "grad_norm": 0.3552803695201874, + "learning_rate": 4.50834648873031e-06, + "loss": 0.62, + "step": 1323 + }, + { + "epoch": 0.6486221677893448, + "grad_norm": 0.35079067945480347, + "learning_rate": 4.507569655191216e-06, + "loss": 0.6079, + "step": 1324 + }, + { + "epoch": 0.6491120636864667, + "grad_norm": 0.34289830923080444, + "learning_rate": 4.506792275461007e-06, + "loss": 0.6469, + "step": 1325 + }, + { + "epoch": 0.6496019595835885, + "grad_norm": 0.3386910855770111, + "learning_rate": 4.506014349751179e-06, + "loss": 0.6557, + "step": 1326 + }, + { + "epoch": 0.6500918554807104, + "grad_norm": 0.37173083424568176, + "learning_rate": 4.505235878273382e-06, + "loss": 0.6401, + "step": 1327 + }, + { + "epoch": 0.6505817513778323, + "grad_norm": 0.37466418743133545, + "learning_rate": 4.504456861239409e-06, + "loss": 0.6153, + "step": 1328 + }, + { + "epoch": 0.651071647274954, + "grad_norm": 0.36054158210754395, + "learning_rate": 4.503677298861206e-06, + "loss": 0.6145, + "step": 1329 + }, + { + "epoch": 0.6515615431720759, + "grad_norm": 0.3630097508430481, + "learning_rate": 4.502897191350863e-06, + "loss": 0.6296, + "step": 1330 + }, + { + "epoch": 0.6520514390691978, + "grad_norm": 0.3524821400642395, + "learning_rate": 4.502116538920623e-06, + "loss": 0.6417, + "step": 1331 + }, + { + "epoch": 0.6525413349663196, + "grad_norm": 0.3513556122779846, + "learning_rate": 4.501335341782874e-06, + "loss": 0.6269, + "step": 1332 + }, + { + "epoch": 0.6530312308634415, + "grad_norm": 0.3473247289657593, + "learning_rate": 4.500553600150153e-06, + "loss": 0.6107, + "step": 1333 + }, + { + "epoch": 0.6535211267605634, + "grad_norm": 0.35425952076911926, + "learning_rate": 4.4997713142351436e-06, + "loss": 0.649, + "step": 1334 + }, + { + "epoch": 0.6540110226576853, + "grad_norm": 0.3341909945011139, + "learning_rate": 4.498988484250681e-06, + "loss": 0.6366, + "step": 1335 + }, + { + "epoch": 0.6545009185548071, + "grad_norm": 0.340781569480896, + "learning_rate": 4.498205110409746e-06, + "loss": 0.6243, + "step": 1336 + }, + { + "epoch": 0.654990814451929, + "grad_norm": 0.36256301403045654, + "learning_rate": 4.497421192925468e-06, + "loss": 0.6265, + "step": 1337 + }, + { + "epoch": 0.6554807103490509, + "grad_norm": 0.3434717357158661, + "learning_rate": 4.496636732011123e-06, + "loss": 0.63, + "step": 1338 + }, + { + "epoch": 0.6559706062461726, + "grad_norm": 0.3541300296783447, + "learning_rate": 4.495851727880139e-06, + "loss": 0.6459, + "step": 1339 + }, + { + "epoch": 0.6564605021432945, + "grad_norm": 0.3564087450504303, + "learning_rate": 4.4950661807460845e-06, + "loss": 0.6334, + "step": 1340 + }, + { + "epoch": 0.6569503980404164, + "grad_norm": 0.34885209798812866, + "learning_rate": 4.494280090822684e-06, + "loss": 0.6317, + "step": 1341 + }, + { + "epoch": 0.6574402939375382, + "grad_norm": 0.3564472496509552, + "learning_rate": 4.493493458323804e-06, + "loss": 0.6494, + "step": 1342 + }, + { + "epoch": 0.6579301898346601, + "grad_norm": 0.35500457882881165, + "learning_rate": 4.492706283463459e-06, + "loss": 0.6453, + "step": 1343 + }, + { + "epoch": 0.658420085731782, + "grad_norm": 0.3623114824295044, + "learning_rate": 4.4919185664558155e-06, + "loss": 0.6336, + "step": 1344 + }, + { + "epoch": 0.6589099816289039, + "grad_norm": 0.3338193893432617, + "learning_rate": 4.4911303075151815e-06, + "loss": 0.6408, + "step": 1345 + }, + { + "epoch": 0.6593998775260257, + "grad_norm": 0.3407876193523407, + "learning_rate": 4.490341506856017e-06, + "loss": 0.6248, + "step": 1346 + }, + { + "epoch": 0.6598897734231476, + "grad_norm": 0.3452967703342438, + "learning_rate": 4.489552164692926e-06, + "loss": 0.662, + "step": 1347 + }, + { + "epoch": 0.6603796693202695, + "grad_norm": 0.35615143179893494, + "learning_rate": 4.488762281240664e-06, + "loss": 0.6369, + "step": 1348 + }, + { + "epoch": 0.6608695652173913, + "grad_norm": 0.35876408219337463, + "learning_rate": 4.48797185671413e-06, + "loss": 0.6448, + "step": 1349 + }, + { + "epoch": 0.6613594611145132, + "grad_norm": 0.3522142171859741, + "learning_rate": 4.487180891328371e-06, + "loss": 0.6286, + "step": 1350 + }, + { + "epoch": 0.661849357011635, + "grad_norm": 0.3411237299442291, + "learning_rate": 4.486389385298583e-06, + "loss": 0.6281, + "step": 1351 + }, + { + "epoch": 0.6623392529087568, + "grad_norm": 0.3518471121788025, + "learning_rate": 4.485597338840106e-06, + "loss": 0.6391, + "step": 1352 + }, + { + "epoch": 0.6628291488058787, + "grad_norm": 0.35424360632896423, + "learning_rate": 4.48480475216843e-06, + "loss": 0.6272, + "step": 1353 + }, + { + "epoch": 0.6633190447030006, + "grad_norm": 0.35385259985923767, + "learning_rate": 4.48401162549919e-06, + "loss": 0.6423, + "step": 1354 + }, + { + "epoch": 0.6638089406001225, + "grad_norm": 0.33582809567451477, + "learning_rate": 4.48321795904817e-06, + "loss": 0.6471, + "step": 1355 + }, + { + "epoch": 0.6642988364972443, + "grad_norm": 0.35831162333488464, + "learning_rate": 4.4824237530312984e-06, + "loss": 0.6354, + "step": 1356 + }, + { + "epoch": 0.6647887323943662, + "grad_norm": 0.33920028805732727, + "learning_rate": 4.481629007664652e-06, + "loss": 0.6028, + "step": 1357 + }, + { + "epoch": 0.6652786282914881, + "grad_norm": 0.33606863021850586, + "learning_rate": 4.480833723164453e-06, + "loss": 0.6025, + "step": 1358 + }, + { + "epoch": 0.6657685241886099, + "grad_norm": 0.3546634316444397, + "learning_rate": 4.480037899747073e-06, + "loss": 0.6427, + "step": 1359 + }, + { + "epoch": 0.6662584200857318, + "grad_norm": 0.3600572347640991, + "learning_rate": 4.479241537629026e-06, + "loss": 0.6351, + "step": 1360 + }, + { + "epoch": 0.6667483159828537, + "grad_norm": 0.37154367566108704, + "learning_rate": 4.4784446370269765e-06, + "loss": 0.6371, + "step": 1361 + }, + { + "epoch": 0.6672382118799755, + "grad_norm": 0.3503185212612152, + "learning_rate": 4.477647198157733e-06, + "loss": 0.6452, + "step": 1362 + }, + { + "epoch": 0.6677281077770973, + "grad_norm": 0.3488251566886902, + "learning_rate": 4.476849221238253e-06, + "loss": 0.6447, + "step": 1363 + }, + { + "epoch": 0.6682180036742192, + "grad_norm": 0.3618388772010803, + "learning_rate": 4.476050706485637e-06, + "loss": 0.6293, + "step": 1364 + }, + { + "epoch": 0.6687078995713411, + "grad_norm": 0.3459049165248871, + "learning_rate": 4.475251654117134e-06, + "loss": 0.6524, + "step": 1365 + }, + { + "epoch": 0.6691977954684629, + "grad_norm": 0.33803868293762207, + "learning_rate": 4.4744520643501396e-06, + "loss": 0.6334, + "step": 1366 + }, + { + "epoch": 0.6696876913655848, + "grad_norm": 0.3458579480648041, + "learning_rate": 4.473651937402194e-06, + "loss": 0.6286, + "step": 1367 + }, + { + "epoch": 0.6701775872627067, + "grad_norm": 0.3435010612010956, + "learning_rate": 4.472851273490985e-06, + "loss": 0.6495, + "step": 1368 + }, + { + "epoch": 0.6706674831598285, + "grad_norm": 0.3350188732147217, + "learning_rate": 4.472050072834345e-06, + "loss": 0.625, + "step": 1369 + }, + { + "epoch": 0.6711573790569504, + "grad_norm": 0.3355303108692169, + "learning_rate": 4.471248335650255e-06, + "loss": 0.627, + "step": 1370 + }, + { + "epoch": 0.6716472749540723, + "grad_norm": 0.3544834554195404, + "learning_rate": 4.470446062156838e-06, + "loss": 0.6629, + "step": 1371 + }, + { + "epoch": 0.6721371708511942, + "grad_norm": 0.3765515089035034, + "learning_rate": 4.469643252572367e-06, + "loss": 0.6615, + "step": 1372 + }, + { + "epoch": 0.672627066748316, + "grad_norm": 0.36532217264175415, + "learning_rate": 4.468839907115259e-06, + "loss": 0.6492, + "step": 1373 + }, + { + "epoch": 0.6731169626454379, + "grad_norm": 0.3455331325531006, + "learning_rate": 4.468036026004075e-06, + "loss": 0.6604, + "step": 1374 + }, + { + "epoch": 0.6736068585425597, + "grad_norm": 0.34351903200149536, + "learning_rate": 4.4672316094575265e-06, + "loss": 0.6318, + "step": 1375 + }, + { + "epoch": 0.6740967544396815, + "grad_norm": 0.37456777691841125, + "learning_rate": 4.466426657694466e-06, + "loss": 0.6362, + "step": 1376 + }, + { + "epoch": 0.6745866503368034, + "grad_norm": 0.3516497015953064, + "learning_rate": 4.465621170933894e-06, + "loss": 0.6198, + "step": 1377 + }, + { + "epoch": 0.6750765462339253, + "grad_norm": 0.34695130586624146, + "learning_rate": 4.464815149394954e-06, + "loss": 0.6305, + "step": 1378 + }, + { + "epoch": 0.6755664421310471, + "grad_norm": 0.35416507720947266, + "learning_rate": 4.464008593296939e-06, + "loss": 0.6378, + "step": 1379 + }, + { + "epoch": 0.676056338028169, + "grad_norm": 0.3488617241382599, + "learning_rate": 4.463201502859286e-06, + "loss": 0.6306, + "step": 1380 + }, + { + "epoch": 0.6765462339252909, + "grad_norm": 0.34790799021720886, + "learning_rate": 4.462393878301574e-06, + "loss": 0.6608, + "step": 1381 + }, + { + "epoch": 0.6770361298224128, + "grad_norm": 0.3412380516529083, + "learning_rate": 4.461585719843533e-06, + "loss": 0.6133, + "step": 1382 + }, + { + "epoch": 0.6775260257195346, + "grad_norm": 0.35063865780830383, + "learning_rate": 4.460777027705033e-06, + "loss": 0.6292, + "step": 1383 + }, + { + "epoch": 0.6780159216166565, + "grad_norm": 0.33439743518829346, + "learning_rate": 4.459967802106092e-06, + "loss": 0.6287, + "step": 1384 + }, + { + "epoch": 0.6785058175137784, + "grad_norm": 0.34881168603897095, + "learning_rate": 4.459158043266874e-06, + "loss": 0.6503, + "step": 1385 + }, + { + "epoch": 0.6789957134109001, + "grad_norm": 0.3516039252281189, + "learning_rate": 4.458347751407686e-06, + "loss": 0.6667, + "step": 1386 + }, + { + "epoch": 0.679485609308022, + "grad_norm": 0.3718115985393524, + "learning_rate": 4.45753692674898e-06, + "loss": 0.6185, + "step": 1387 + }, + { + "epoch": 0.6799755052051439, + "grad_norm": 0.3400097191333771, + "learning_rate": 4.456725569511353e-06, + "loss": 0.65, + "step": 1388 + }, + { + "epoch": 0.6804654011022657, + "grad_norm": 0.35042303800582886, + "learning_rate": 4.45591367991555e-06, + "loss": 0.6319, + "step": 1389 + }, + { + "epoch": 0.6809552969993876, + "grad_norm": 0.3450476825237274, + "learning_rate": 4.455101258182458e-06, + "loss": 0.6413, + "step": 1390 + }, + { + "epoch": 0.6814451928965095, + "grad_norm": 0.3550189137458801, + "learning_rate": 4.454288304533107e-06, + "loss": 0.6349, + "step": 1391 + }, + { + "epoch": 0.6819350887936314, + "grad_norm": 0.34984391927719116, + "learning_rate": 4.453474819188676e-06, + "loss": 0.6509, + "step": 1392 + }, + { + "epoch": 0.6824249846907532, + "grad_norm": 0.35120296478271484, + "learning_rate": 4.452660802370485e-06, + "loss": 0.6078, + "step": 1393 + }, + { + "epoch": 0.6829148805878751, + "grad_norm": 0.34375014901161194, + "learning_rate": 4.451846254300002e-06, + "loss": 0.6337, + "step": 1394 + }, + { + "epoch": 0.683404776484997, + "grad_norm": 0.3296529948711395, + "learning_rate": 4.451031175198836e-06, + "loss": 0.6264, + "step": 1395 + }, + { + "epoch": 0.6838946723821188, + "grad_norm": 0.35613584518432617, + "learning_rate": 4.450215565288743e-06, + "loss": 0.6202, + "step": 1396 + }, + { + "epoch": 0.6843845682792407, + "grad_norm": 0.3382437825202942, + "learning_rate": 4.449399424791624e-06, + "loss": 0.6263, + "step": 1397 + }, + { + "epoch": 0.6848744641763626, + "grad_norm": 0.35394805669784546, + "learning_rate": 4.44858275392952e-06, + "loss": 0.6392, + "step": 1398 + }, + { + "epoch": 0.6853643600734843, + "grad_norm": 0.3411145806312561, + "learning_rate": 4.447765552924621e-06, + "loss": 0.6506, + "step": 1399 + }, + { + "epoch": 0.6858542559706062, + "grad_norm": 0.3441709876060486, + "learning_rate": 4.446947821999259e-06, + "loss": 0.6398, + "step": 1400 + }, + { + "epoch": 0.6863441518677281, + "grad_norm": 0.35997113585472107, + "learning_rate": 4.446129561375911e-06, + "loss": 0.6614, + "step": 1401 + }, + { + "epoch": 0.68683404776485, + "grad_norm": 0.3488248288631439, + "learning_rate": 4.445310771277197e-06, + "loss": 0.6482, + "step": 1402 + }, + { + "epoch": 0.6873239436619718, + "grad_norm": 0.3390911817550659, + "learning_rate": 4.444491451925883e-06, + "loss": 0.6138, + "step": 1403 + }, + { + "epoch": 0.6878138395590937, + "grad_norm": 0.3483215272426605, + "learning_rate": 4.443671603544878e-06, + "loss": 0.6455, + "step": 1404 + }, + { + "epoch": 0.6883037354562156, + "grad_norm": 0.36293405294418335, + "learning_rate": 4.442851226357232e-06, + "loss": 0.6562, + "step": 1405 + }, + { + "epoch": 0.6887936313533374, + "grad_norm": 0.35973989963531494, + "learning_rate": 4.442030320586145e-06, + "loss": 0.6355, + "step": 1406 + }, + { + "epoch": 0.6892835272504593, + "grad_norm": 0.35593295097351074, + "learning_rate": 4.441208886454956e-06, + "loss": 0.628, + "step": 1407 + }, + { + "epoch": 0.6897734231475812, + "grad_norm": 0.3477623164653778, + "learning_rate": 4.440386924187148e-06, + "loss": 0.6308, + "step": 1408 + }, + { + "epoch": 0.690263319044703, + "grad_norm": 0.3570405840873718, + "learning_rate": 4.43956443400635e-06, + "loss": 0.6481, + "step": 1409 + }, + { + "epoch": 0.6907532149418248, + "grad_norm": 0.3418077230453491, + "learning_rate": 4.438741416136335e-06, + "loss": 0.6331, + "step": 1410 + }, + { + "epoch": 0.6912431108389467, + "grad_norm": 0.3490599989891052, + "learning_rate": 4.4379178708010155e-06, + "loss": 0.6256, + "step": 1411 + }, + { + "epoch": 0.6917330067360686, + "grad_norm": 0.35988834500312805, + "learning_rate": 4.437093798224451e-06, + "loss": 0.6456, + "step": 1412 + }, + { + "epoch": 0.6922229026331904, + "grad_norm": 0.37563356757164, + "learning_rate": 4.4362691986308435e-06, + "loss": 0.648, + "step": 1413 + }, + { + "epoch": 0.6927127985303123, + "grad_norm": 0.37250471115112305, + "learning_rate": 4.435444072244539e-06, + "loss": 0.6773, + "step": 1414 + }, + { + "epoch": 0.6932026944274342, + "grad_norm": 0.34101811051368713, + "learning_rate": 4.434618419290024e-06, + "loss": 0.6535, + "step": 1415 + }, + { + "epoch": 0.693692590324556, + "grad_norm": 0.3587406277656555, + "learning_rate": 4.433792239991934e-06, + "loss": 0.6416, + "step": 1416 + }, + { + "epoch": 0.6941824862216779, + "grad_norm": 0.34490567445755005, + "learning_rate": 4.432965534575041e-06, + "loss": 0.6517, + "step": 1417 + }, + { + "epoch": 0.6946723821187998, + "grad_norm": 0.3421916961669922, + "learning_rate": 4.432138303264265e-06, + "loss": 0.648, + "step": 1418 + }, + { + "epoch": 0.6951622780159216, + "grad_norm": 0.34492430090904236, + "learning_rate": 4.431310546284668e-06, + "loss": 0.6534, + "step": 1419 + }, + { + "epoch": 0.6956521739130435, + "grad_norm": 0.33511802554130554, + "learning_rate": 4.430482263861451e-06, + "loss": 0.6188, + "step": 1420 + }, + { + "epoch": 0.6961420698101654, + "grad_norm": 0.3665695786476135, + "learning_rate": 4.429653456219965e-06, + "loss": 0.637, + "step": 1421 + }, + { + "epoch": 0.6966319657072872, + "grad_norm": 0.33063197135925293, + "learning_rate": 4.428824123585699e-06, + "loss": 0.6375, + "step": 1422 + }, + { + "epoch": 0.697121861604409, + "grad_norm": 0.3582562804222107, + "learning_rate": 4.427994266184285e-06, + "loss": 0.6294, + "step": 1423 + }, + { + "epoch": 0.6976117575015309, + "grad_norm": 0.3703780770301819, + "learning_rate": 4.427163884241501e-06, + "loss": 0.6699, + "step": 1424 + }, + { + "epoch": 0.6981016533986528, + "grad_norm": 0.35689881443977356, + "learning_rate": 4.426332977983264e-06, + "loss": 0.6439, + "step": 1425 + }, + { + "epoch": 0.6985915492957746, + "grad_norm": 0.3539344072341919, + "learning_rate": 4.425501547635635e-06, + "loss": 0.6608, + "step": 1426 + }, + { + "epoch": 0.6990814451928965, + "grad_norm": 0.3454554080963135, + "learning_rate": 4.424669593424819e-06, + "loss": 0.6364, + "step": 1427 + }, + { + "epoch": 0.6995713410900184, + "grad_norm": 0.340656042098999, + "learning_rate": 4.4238371155771614e-06, + "loss": 0.6277, + "step": 1428 + }, + { + "epoch": 0.7000612369871402, + "grad_norm": 0.35011354088783264, + "learning_rate": 4.423004114319151e-06, + "loss": 0.6621, + "step": 1429 + }, + { + "epoch": 0.7005511328842621, + "grad_norm": 0.34832993149757385, + "learning_rate": 4.42217058987742e-06, + "loss": 0.6516, + "step": 1430 + }, + { + "epoch": 0.701041028781384, + "grad_norm": 0.3486762046813965, + "learning_rate": 4.421336542478741e-06, + "loss": 0.6138, + "step": 1431 + }, + { + "epoch": 0.7015309246785059, + "grad_norm": 0.3553650975227356, + "learning_rate": 4.42050197235003e-06, + "loss": 0.6215, + "step": 1432 + }, + { + "epoch": 0.7020208205756276, + "grad_norm": 0.3504565954208374, + "learning_rate": 4.419666879718344e-06, + "loss": 0.6377, + "step": 1433 + }, + { + "epoch": 0.7025107164727495, + "grad_norm": 0.3645647466182709, + "learning_rate": 4.418831264810886e-06, + "loss": 0.6505, + "step": 1434 + }, + { + "epoch": 0.7030006123698714, + "grad_norm": 0.355643093585968, + "learning_rate": 4.417995127854995e-06, + "loss": 0.6316, + "step": 1435 + }, + { + "epoch": 0.7034905082669932, + "grad_norm": 0.34611374139785767, + "learning_rate": 4.417158469078156e-06, + "loss": 0.6224, + "step": 1436 + }, + { + "epoch": 0.7039804041641151, + "grad_norm": 0.35592782497406006, + "learning_rate": 4.416321288707997e-06, + "loss": 0.6477, + "step": 1437 + }, + { + "epoch": 0.704470300061237, + "grad_norm": 0.3591293394565582, + "learning_rate": 4.415483586972286e-06, + "loss": 0.6266, + "step": 1438 + }, + { + "epoch": 0.7049601959583589, + "grad_norm": 0.3570345342159271, + "learning_rate": 4.414645364098932e-06, + "loss": 0.6545, + "step": 1439 + }, + { + "epoch": 0.7054500918554807, + "grad_norm": 0.36388275027275085, + "learning_rate": 4.413806620315986e-06, + "loss": 0.656, + "step": 1440 + }, + { + "epoch": 0.7059399877526026, + "grad_norm": 0.3475639522075653, + "learning_rate": 4.4129673558516435e-06, + "loss": 0.6464, + "step": 1441 + }, + { + "epoch": 0.7064298836497245, + "grad_norm": 0.34937432408332825, + "learning_rate": 4.412127570934238e-06, + "loss": 0.6417, + "step": 1442 + }, + { + "epoch": 0.7069197795468463, + "grad_norm": 0.3504284918308258, + "learning_rate": 4.411287265792248e-06, + "loss": 0.6323, + "step": 1443 + }, + { + "epoch": 0.7074096754439682, + "grad_norm": 0.3767411708831787, + "learning_rate": 4.41044644065429e-06, + "loss": 0.6448, + "step": 1444 + }, + { + "epoch": 0.70789957134109, + "grad_norm": 0.3602970838546753, + "learning_rate": 4.409605095749125e-06, + "loss": 0.6345, + "step": 1445 + }, + { + "epoch": 0.7083894672382118, + "grad_norm": 0.3349767327308655, + "learning_rate": 4.408763231305654e-06, + "loss": 0.6224, + "step": 1446 + }, + { + "epoch": 0.7088793631353337, + "grad_norm": 0.36673104763031006, + "learning_rate": 4.407920847552918e-06, + "loss": 0.6457, + "step": 1447 + }, + { + "epoch": 0.7093692590324556, + "grad_norm": 0.3664603531360626, + "learning_rate": 4.407077944720104e-06, + "loss": 0.6302, + "step": 1448 + }, + { + "epoch": 0.7098591549295775, + "grad_norm": 0.3508128821849823, + "learning_rate": 4.4062345230365345e-06, + "loss": 0.6434, + "step": 1449 + }, + { + "epoch": 0.7103490508266993, + "grad_norm": 0.3559228479862213, + "learning_rate": 4.4053905827316765e-06, + "loss": 0.6112, + "step": 1450 + }, + { + "epoch": 0.7108389467238212, + "grad_norm": 0.3495516777038574, + "learning_rate": 4.404546124035137e-06, + "loss": 0.6522, + "step": 1451 + }, + { + "epoch": 0.7113288426209431, + "grad_norm": 0.3622876703739166, + "learning_rate": 4.4037011471766656e-06, + "loss": 0.667, + "step": 1452 + }, + { + "epoch": 0.7118187385180649, + "grad_norm": 0.3653157949447632, + "learning_rate": 4.402855652386151e-06, + "loss": 0.6518, + "step": 1453 + }, + { + "epoch": 0.7123086344151868, + "grad_norm": 0.36109858751296997, + "learning_rate": 4.402009639893622e-06, + "loss": 0.6193, + "step": 1454 + }, + { + "epoch": 0.7127985303123087, + "grad_norm": 0.3428484797477722, + "learning_rate": 4.401163109929251e-06, + "loss": 0.6384, + "step": 1455 + }, + { + "epoch": 0.7132884262094304, + "grad_norm": 0.33944132924079895, + "learning_rate": 4.40031606272335e-06, + "loss": 0.6195, + "step": 1456 + }, + { + "epoch": 0.7137783221065523, + "grad_norm": 0.34885114431381226, + "learning_rate": 4.399468498506372e-06, + "loss": 0.6374, + "step": 1457 + }, + { + "epoch": 0.7142682180036742, + "grad_norm": 0.3379736840724945, + "learning_rate": 4.39862041750891e-06, + "loss": 0.6476, + "step": 1458 + }, + { + "epoch": 0.7147581139007961, + "grad_norm": 0.3457338511943817, + "learning_rate": 4.397771819961696e-06, + "loss": 0.6336, + "step": 1459 + }, + { + "epoch": 0.7152480097979179, + "grad_norm": 0.35912013053894043, + "learning_rate": 4.3969227060956065e-06, + "loss": 0.6425, + "step": 1460 + }, + { + "epoch": 0.7157379056950398, + "grad_norm": 0.34900614619255066, + "learning_rate": 4.3960730761416556e-06, + "loss": 0.6181, + "step": 1461 + }, + { + "epoch": 0.7162278015921617, + "grad_norm": 0.3592720925807953, + "learning_rate": 4.395222930330999e-06, + "loss": 0.6493, + "step": 1462 + }, + { + "epoch": 0.7167176974892835, + "grad_norm": 0.37626612186431885, + "learning_rate": 4.394372268894932e-06, + "loss": 0.6488, + "step": 1463 + }, + { + "epoch": 0.7172075933864054, + "grad_norm": 0.33996111154556274, + "learning_rate": 4.3935210920648906e-06, + "loss": 0.6002, + "step": 1464 + }, + { + "epoch": 0.7176974892835273, + "grad_norm": 0.3402058482170105, + "learning_rate": 4.392669400072451e-06, + "loss": 0.6641, + "step": 1465 + }, + { + "epoch": 0.7181873851806491, + "grad_norm": 0.3400043249130249, + "learning_rate": 4.39181719314933e-06, + "loss": 0.6471, + "step": 1466 + }, + { + "epoch": 0.718677281077771, + "grad_norm": 0.35515210032463074, + "learning_rate": 4.3909644715273826e-06, + "loss": 0.616, + "step": 1467 + }, + { + "epoch": 0.7191671769748929, + "grad_norm": 0.3558686673641205, + "learning_rate": 4.390111235438606e-06, + "loss": 0.6475, + "step": 1468 + }, + { + "epoch": 0.7196570728720147, + "grad_norm": 0.357598215341568, + "learning_rate": 4.3892574851151375e-06, + "loss": 0.6427, + "step": 1469 + }, + { + "epoch": 0.7201469687691365, + "grad_norm": 0.3601952791213989, + "learning_rate": 4.388403220789252e-06, + "loss": 0.6324, + "step": 1470 + }, + { + "epoch": 0.7206368646662584, + "grad_norm": 0.3500250279903412, + "learning_rate": 4.387548442693367e-06, + "loss": 0.6429, + "step": 1471 + }, + { + "epoch": 0.7211267605633803, + "grad_norm": 0.3473350703716278, + "learning_rate": 4.386693151060036e-06, + "loss": 0.6341, + "step": 1472 + }, + { + "epoch": 0.7216166564605021, + "grad_norm": 0.3497799038887024, + "learning_rate": 4.385837346121957e-06, + "loss": 0.6235, + "step": 1473 + }, + { + "epoch": 0.722106552357624, + "grad_norm": 0.349621444940567, + "learning_rate": 4.384981028111965e-06, + "loss": 0.6265, + "step": 1474 + }, + { + "epoch": 0.7225964482547459, + "grad_norm": 0.35969698429107666, + "learning_rate": 4.384124197263033e-06, + "loss": 0.6484, + "step": 1475 + }, + { + "epoch": 0.7230863441518677, + "grad_norm": 0.3602536618709564, + "learning_rate": 4.383266853808278e-06, + "loss": 0.6515, + "step": 1476 + }, + { + "epoch": 0.7235762400489896, + "grad_norm": 0.35244783759117126, + "learning_rate": 4.382408997980952e-06, + "loss": 0.6041, + "step": 1477 + }, + { + "epoch": 0.7240661359461115, + "grad_norm": 0.3843582570552826, + "learning_rate": 4.38155063001445e-06, + "loss": 0.6119, + "step": 1478 + }, + { + "epoch": 0.7245560318432334, + "grad_norm": 0.3423139154911041, + "learning_rate": 4.3806917501423026e-06, + "loss": 0.6578, + "step": 1479 + }, + { + "epoch": 0.7250459277403551, + "grad_norm": 0.3562920391559601, + "learning_rate": 4.379832358598183e-06, + "loss": 0.644, + "step": 1480 + }, + { + "epoch": 0.725535823637477, + "grad_norm": 0.37188270688056946, + "learning_rate": 4.378972455615901e-06, + "loss": 0.6539, + "step": 1481 + }, + { + "epoch": 0.7260257195345989, + "grad_norm": 0.3575827479362488, + "learning_rate": 4.378112041429409e-06, + "loss": 0.6499, + "step": 1482 + }, + { + "epoch": 0.7265156154317207, + "grad_norm": 0.35851728916168213, + "learning_rate": 4.3772511162727934e-06, + "loss": 0.6381, + "step": 1483 + }, + { + "epoch": 0.7270055113288426, + "grad_norm": 0.35518619418144226, + "learning_rate": 4.376389680380286e-06, + "loss": 0.6302, + "step": 1484 + }, + { + "epoch": 0.7274954072259645, + "grad_norm": 0.33862000703811646, + "learning_rate": 4.37552773398625e-06, + "loss": 0.6378, + "step": 1485 + }, + { + "epoch": 0.7279853031230863, + "grad_norm": 0.3456350564956665, + "learning_rate": 4.374665277325195e-06, + "loss": 0.6266, + "step": 1486 + }, + { + "epoch": 0.7284751990202082, + "grad_norm": 0.35843735933303833, + "learning_rate": 4.373802310631765e-06, + "loss": 0.6189, + "step": 1487 + }, + { + "epoch": 0.7289650949173301, + "grad_norm": 0.35915929079055786, + "learning_rate": 4.372938834140742e-06, + "loss": 0.6305, + "step": 1488 + }, + { + "epoch": 0.729454990814452, + "grad_norm": 0.34460461139678955, + "learning_rate": 4.3720748480870515e-06, + "loss": 0.6325, + "step": 1489 + }, + { + "epoch": 0.7299448867115738, + "grad_norm": 0.34665390849113464, + "learning_rate": 4.371210352705753e-06, + "loss": 0.6403, + "step": 1490 + }, + { + "epoch": 0.7304347826086957, + "grad_norm": 0.34286579489707947, + "learning_rate": 4.370345348232046e-06, + "loss": 0.6241, + "step": 1491 + }, + { + "epoch": 0.7309246785058175, + "grad_norm": 0.36061859130859375, + "learning_rate": 4.369479834901268e-06, + "loss": 0.647, + "step": 1492 + }, + { + "epoch": 0.7314145744029393, + "grad_norm": 0.3598126173019409, + "learning_rate": 4.368613812948898e-06, + "loss": 0.6343, + "step": 1493 + }, + { + "epoch": 0.7319044703000612, + "grad_norm": 0.3460848331451416, + "learning_rate": 4.367747282610548e-06, + "loss": 0.6104, + "step": 1494 + }, + { + "epoch": 0.7323943661971831, + "grad_norm": 0.3402574360370636, + "learning_rate": 4.366880244121972e-06, + "loss": 0.6349, + "step": 1495 + }, + { + "epoch": 0.7328842620943049, + "grad_norm": 0.37308433651924133, + "learning_rate": 4.366012697719064e-06, + "loss": 0.6387, + "step": 1496 + }, + { + "epoch": 0.7333741579914268, + "grad_norm": 0.3392968773841858, + "learning_rate": 4.365144643637852e-06, + "loss": 0.6343, + "step": 1497 + }, + { + "epoch": 0.7338640538885487, + "grad_norm": 0.3485359251499176, + "learning_rate": 4.364276082114504e-06, + "loss": 0.6412, + "step": 1498 + }, + { + "epoch": 0.7343539497856706, + "grad_norm": 0.3518224358558655, + "learning_rate": 4.363407013385325e-06, + "loss": 0.6199, + "step": 1499 + }, + { + "epoch": 0.7348438456827924, + "grad_norm": 0.35371819138526917, + "learning_rate": 4.36253743768676e-06, + "loss": 0.6297, + "step": 1500 + }, + { + "epoch": 0.7353337415799143, + "grad_norm": 0.34904298186302185, + "learning_rate": 4.36166735525539e-06, + "loss": 0.5931, + "step": 1501 + }, + { + "epoch": 0.7358236374770362, + "grad_norm": 0.36501210927963257, + "learning_rate": 4.360796766327936e-06, + "loss": 0.6413, + "step": 1502 + }, + { + "epoch": 0.736313533374158, + "grad_norm": 0.356987327337265, + "learning_rate": 4.3599256711412555e-06, + "loss": 0.6476, + "step": 1503 + }, + { + "epoch": 0.7368034292712798, + "grad_norm": 0.3617223799228668, + "learning_rate": 4.3590540699323415e-06, + "loss": 0.6283, + "step": 1504 + }, + { + "epoch": 0.7372933251684017, + "grad_norm": 0.3590957820415497, + "learning_rate": 4.358181962938329e-06, + "loss": 0.633, + "step": 1505 + }, + { + "epoch": 0.7377832210655236, + "grad_norm": 0.3524998426437378, + "learning_rate": 4.357309350396488e-06, + "loss": 0.6341, + "step": 1506 + }, + { + "epoch": 0.7382731169626454, + "grad_norm": 0.3727060556411743, + "learning_rate": 4.356436232544227e-06, + "loss": 0.6502, + "step": 1507 + }, + { + "epoch": 0.7387630128597673, + "grad_norm": 0.349979043006897, + "learning_rate": 4.35556260961909e-06, + "loss": 0.6538, + "step": 1508 + }, + { + "epoch": 0.7392529087568892, + "grad_norm": 0.3617153763771057, + "learning_rate": 4.354688481858762e-06, + "loss": 0.627, + "step": 1509 + }, + { + "epoch": 0.739742804654011, + "grad_norm": 0.36576417088508606, + "learning_rate": 4.353813849501062e-06, + "loss": 0.6394, + "step": 1510 + }, + { + "epoch": 0.7402327005511329, + "grad_norm": 0.34674984216690063, + "learning_rate": 4.352938712783947e-06, + "loss": 0.6275, + "step": 1511 + }, + { + "epoch": 0.7407225964482548, + "grad_norm": 0.3658475875854492, + "learning_rate": 4.352063071945514e-06, + "loss": 0.6237, + "step": 1512 + }, + { + "epoch": 0.7412124923453766, + "grad_norm": 0.35605910420417786, + "learning_rate": 4.351186927223992e-06, + "loss": 0.6628, + "step": 1513 + }, + { + "epoch": 0.7417023882424985, + "grad_norm": 0.3472442030906677, + "learning_rate": 4.350310278857754e-06, + "loss": 0.6531, + "step": 1514 + }, + { + "epoch": 0.7421922841396204, + "grad_norm": 0.34654098749160767, + "learning_rate": 4.349433127085302e-06, + "loss": 0.6177, + "step": 1515 + }, + { + "epoch": 0.7426821800367422, + "grad_norm": 0.3483250141143799, + "learning_rate": 4.34855547214528e-06, + "loss": 0.5996, + "step": 1516 + }, + { + "epoch": 0.743172075933864, + "grad_norm": 0.3742973506450653, + "learning_rate": 4.34767731427647e-06, + "loss": 0.67, + "step": 1517 + }, + { + "epoch": 0.7436619718309859, + "grad_norm": 0.36761683225631714, + "learning_rate": 4.346798653717787e-06, + "loss": 0.6544, + "step": 1518 + }, + { + "epoch": 0.7441518677281078, + "grad_norm": 0.35679250955581665, + "learning_rate": 4.345919490708286e-06, + "loss": 0.627, + "step": 1519 + }, + { + "epoch": 0.7446417636252296, + "grad_norm": 0.34713515639305115, + "learning_rate": 4.345039825487156e-06, + "loss": 0.6363, + "step": 1520 + }, + { + "epoch": 0.7451316595223515, + "grad_norm": 0.3618803322315216, + "learning_rate": 4.344159658293723e-06, + "loss": 0.6641, + "step": 1521 + }, + { + "epoch": 0.7456215554194734, + "grad_norm": 0.35535937547683716, + "learning_rate": 4.343278989367452e-06, + "loss": 0.6325, + "step": 1522 + }, + { + "epoch": 0.7461114513165952, + "grad_norm": 0.3408360481262207, + "learning_rate": 4.342397818947943e-06, + "loss": 0.6324, + "step": 1523 + }, + { + "epoch": 0.7466013472137171, + "grad_norm": 0.3660116493701935, + "learning_rate": 4.341516147274931e-06, + "loss": 0.6098, + "step": 1524 + }, + { + "epoch": 0.747091243110839, + "grad_norm": 0.3499428629875183, + "learning_rate": 4.34063397458829e-06, + "loss": 0.667, + "step": 1525 + }, + { + "epoch": 0.7475811390079609, + "grad_norm": 0.3460999131202698, + "learning_rate": 4.339751301128028e-06, + "loss": 0.6339, + "step": 1526 + }, + { + "epoch": 0.7480710349050826, + "grad_norm": 0.3715626895427704, + "learning_rate": 4.338868127134291e-06, + "loss": 0.6494, + "step": 1527 + }, + { + "epoch": 0.7485609308022045, + "grad_norm": 0.35727787017822266, + "learning_rate": 4.3379844528473605e-06, + "loss": 0.6661, + "step": 1528 + }, + { + "epoch": 0.7490508266993264, + "grad_norm": 0.34379470348358154, + "learning_rate": 4.337100278507654e-06, + "loss": 0.6311, + "step": 1529 + }, + { + "epoch": 0.7495407225964482, + "grad_norm": 0.3414919972419739, + "learning_rate": 4.3362156043557246e-06, + "loss": 0.656, + "step": 1530 + }, + { + "epoch": 0.7500306184935701, + "grad_norm": 0.3487052619457245, + "learning_rate": 4.335330430632263e-06, + "loss": 0.6433, + "step": 1531 + }, + { + "epoch": 0.750520514390692, + "grad_norm": 0.3398865759372711, + "learning_rate": 4.334444757578093e-06, + "loss": 0.6083, + "step": 1532 + }, + { + "epoch": 0.7510104102878138, + "grad_norm": 0.3585461378097534, + "learning_rate": 4.3335585854341776e-06, + "loss": 0.6106, + "step": 1533 + }, + { + "epoch": 0.7515003061849357, + "grad_norm": 0.3617606461048126, + "learning_rate": 4.332671914441614e-06, + "loss": 0.6305, + "step": 1534 + }, + { + "epoch": 0.7519902020820576, + "grad_norm": 0.35764437913894653, + "learning_rate": 4.331784744841634e-06, + "loss": 0.6217, + "step": 1535 + }, + { + "epoch": 0.7524800979791795, + "grad_norm": 0.3439844250679016, + "learning_rate": 4.330897076875606e-06, + "loss": 0.6109, + "step": 1536 + }, + { + "epoch": 0.7529699938763013, + "grad_norm": 0.3562347888946533, + "learning_rate": 4.3300089107850365e-06, + "loss": 0.6455, + "step": 1537 + }, + { + "epoch": 0.7534598897734232, + "grad_norm": 0.3550952076911926, + "learning_rate": 4.329120246811562e-06, + "loss": 0.6443, + "step": 1538 + }, + { + "epoch": 0.753949785670545, + "grad_norm": 0.35900068283081055, + "learning_rate": 4.328231085196959e-06, + "loss": 0.6399, + "step": 1539 + }, + { + "epoch": 0.7544396815676668, + "grad_norm": 0.3578474819660187, + "learning_rate": 4.327341426183139e-06, + "loss": 0.6332, + "step": 1540 + }, + { + "epoch": 0.7549295774647887, + "grad_norm": 0.37041589617729187, + "learning_rate": 4.326451270012146e-06, + "loss": 0.6453, + "step": 1541 + }, + { + "epoch": 0.7554194733619106, + "grad_norm": 0.35958898067474365, + "learning_rate": 4.325560616926162e-06, + "loss": 0.6385, + "step": 1542 + }, + { + "epoch": 0.7559093692590324, + "grad_norm": 0.3471086919307709, + "learning_rate": 4.324669467167504e-06, + "loss": 0.6272, + "step": 1543 + }, + { + "epoch": 0.7563992651561543, + "grad_norm": 0.355865478515625, + "learning_rate": 4.323777820978622e-06, + "loss": 0.6502, + "step": 1544 + }, + { + "epoch": 0.7568891610532762, + "grad_norm": 0.3631455898284912, + "learning_rate": 4.322885678602103e-06, + "loss": 0.6361, + "step": 1545 + }, + { + "epoch": 0.7573790569503981, + "grad_norm": 0.3473595380783081, + "learning_rate": 4.321993040280669e-06, + "loss": 0.6271, + "step": 1546 + }, + { + "epoch": 0.7578689528475199, + "grad_norm": 0.3650197684764862, + "learning_rate": 4.321099906257175e-06, + "loss": 0.6371, + "step": 1547 + }, + { + "epoch": 0.7583588487446418, + "grad_norm": 0.3387010097503662, + "learning_rate": 4.320206276774613e-06, + "loss": 0.6436, + "step": 1548 + }, + { + "epoch": 0.7588487446417637, + "grad_norm": 0.3699718713760376, + "learning_rate": 4.3193121520761105e-06, + "loss": 0.6585, + "step": 1549 + }, + { + "epoch": 0.7593386405388854, + "grad_norm": 0.3527061343193054, + "learning_rate": 4.318417532404926e-06, + "loss": 0.6474, + "step": 1550 + }, + { + "epoch": 0.7598285364360073, + "grad_norm": 0.35305193066596985, + "learning_rate": 4.3175224180044575e-06, + "loss": 0.6245, + "step": 1551 + }, + { + "epoch": 0.7603184323331292, + "grad_norm": 0.352267861366272, + "learning_rate": 4.316626809118232e-06, + "loss": 0.6581, + "step": 1552 + }, + { + "epoch": 0.760808328230251, + "grad_norm": 0.35272592306137085, + "learning_rate": 4.3157307059899155e-06, + "loss": 0.631, + "step": 1553 + }, + { + "epoch": 0.7612982241273729, + "grad_norm": 0.3434283137321472, + "learning_rate": 4.314834108863308e-06, + "loss": 0.6205, + "step": 1554 + }, + { + "epoch": 0.7617881200244948, + "grad_norm": 0.35709479451179504, + "learning_rate": 4.313937017982342e-06, + "loss": 0.6205, + "step": 1555 + }, + { + "epoch": 0.7622780159216167, + "grad_norm": 0.3480152189731598, + "learning_rate": 4.313039433591085e-06, + "loss": 0.6281, + "step": 1556 + }, + { + "epoch": 0.7627679118187385, + "grad_norm": 0.3423363268375397, + "learning_rate": 4.3121413559337394e-06, + "loss": 0.6324, + "step": 1557 + }, + { + "epoch": 0.7632578077158604, + "grad_norm": 0.3515855371952057, + "learning_rate": 4.311242785254641e-06, + "loss": 0.6476, + "step": 1558 + }, + { + "epoch": 0.7637477036129823, + "grad_norm": 0.35674506425857544, + "learning_rate": 4.310343721798262e-06, + "loss": 0.6389, + "step": 1559 + }, + { + "epoch": 0.7642375995101041, + "grad_norm": 0.3473707437515259, + "learning_rate": 4.309444165809204e-06, + "loss": 0.6393, + "step": 1560 + }, + { + "epoch": 0.764727495407226, + "grad_norm": 0.3437351584434509, + "learning_rate": 4.308544117532209e-06, + "loss": 0.6496, + "step": 1561 + }, + { + "epoch": 0.7652173913043478, + "grad_norm": 0.35847991704940796, + "learning_rate": 4.307643577212145e-06, + "loss": 0.6237, + "step": 1562 + }, + { + "epoch": 0.7657072872014696, + "grad_norm": 0.3546234667301178, + "learning_rate": 4.306742545094022e-06, + "loss": 0.6363, + "step": 1563 + }, + { + "epoch": 0.7661971830985915, + "grad_norm": 0.3565414845943451, + "learning_rate": 4.305841021422978e-06, + "loss": 0.5923, + "step": 1564 + }, + { + "epoch": 0.7666870789957134, + "grad_norm": 0.3588482737541199, + "learning_rate": 4.304939006444288e-06, + "loss": 0.6266, + "step": 1565 + }, + { + "epoch": 0.7671769748928353, + "grad_norm": 0.3416237235069275, + "learning_rate": 4.3040365004033576e-06, + "loss": 0.6214, + "step": 1566 + }, + { + "epoch": 0.7676668707899571, + "grad_norm": 0.3760249614715576, + "learning_rate": 4.30313350354573e-06, + "loss": 0.6285, + "step": 1567 + }, + { + "epoch": 0.768156766687079, + "grad_norm": 0.33408862352371216, + "learning_rate": 4.302230016117079e-06, + "loss": 0.6094, + "step": 1568 + }, + { + "epoch": 0.7686466625842009, + "grad_norm": 0.3498431146144867, + "learning_rate": 4.301326038363213e-06, + "loss": 0.6187, + "step": 1569 + }, + { + "epoch": 0.7691365584813227, + "grad_norm": 0.3693348467350006, + "learning_rate": 4.300421570530073e-06, + "loss": 0.6644, + "step": 1570 + }, + { + "epoch": 0.7696264543784446, + "grad_norm": 0.3516463041305542, + "learning_rate": 4.299516612863734e-06, + "loss": 0.6295, + "step": 1571 + }, + { + "epoch": 0.7701163502755665, + "grad_norm": 0.35464391112327576, + "learning_rate": 4.298611165610404e-06, + "loss": 0.6246, + "step": 1572 + }, + { + "epoch": 0.7706062461726884, + "grad_norm": 0.3509035110473633, + "learning_rate": 4.297705229016423e-06, + "loss": 0.6263, + "step": 1573 + }, + { + "epoch": 0.7710961420698101, + "grad_norm": 0.35598504543304443, + "learning_rate": 4.296798803328267e-06, + "loss": 0.6479, + "step": 1574 + }, + { + "epoch": 0.771586037966932, + "grad_norm": 0.37206852436065674, + "learning_rate": 4.295891888792543e-06, + "loss": 0.6134, + "step": 1575 + }, + { + "epoch": 0.7720759338640539, + "grad_norm": 0.3516175448894501, + "learning_rate": 4.294984485655992e-06, + "loss": 0.6545, + "step": 1576 + }, + { + "epoch": 0.7725658297611757, + "grad_norm": 0.36359652876853943, + "learning_rate": 4.294076594165487e-06, + "loss": 0.6332, + "step": 1577 + }, + { + "epoch": 0.7730557256582976, + "grad_norm": 0.35042086243629456, + "learning_rate": 4.293168214568035e-06, + "loss": 0.6302, + "step": 1578 + }, + { + "epoch": 0.7735456215554195, + "grad_norm": 0.35204851627349854, + "learning_rate": 4.292259347110772e-06, + "loss": 0.6727, + "step": 1579 + }, + { + "epoch": 0.7740355174525413, + "grad_norm": 0.35548853874206543, + "learning_rate": 4.2913499920409735e-06, + "loss": 0.6345, + "step": 1580 + }, + { + "epoch": 0.7745254133496632, + "grad_norm": 0.35779857635498047, + "learning_rate": 4.290440149606042e-06, + "loss": 0.6139, + "step": 1581 + }, + { + "epoch": 0.7750153092467851, + "grad_norm": 0.3580545485019684, + "learning_rate": 4.289529820053515e-06, + "loss": 0.6419, + "step": 1582 + }, + { + "epoch": 0.775505205143907, + "grad_norm": 0.37659353017807007, + "learning_rate": 4.288619003631062e-06, + "loss": 0.6446, + "step": 1583 + }, + { + "epoch": 0.7759951010410288, + "grad_norm": 0.3591335415840149, + "learning_rate": 4.287707700586486e-06, + "loss": 0.6224, + "step": 1584 + }, + { + "epoch": 0.7764849969381507, + "grad_norm": 0.3432382345199585, + "learning_rate": 4.28679591116772e-06, + "loss": 0.6341, + "step": 1585 + }, + { + "epoch": 0.7769748928352725, + "grad_norm": 0.35006436705589294, + "learning_rate": 4.285883635622831e-06, + "loss": 0.6045, + "step": 1586 + }, + { + "epoch": 0.7774647887323943, + "grad_norm": 0.3341239094734192, + "learning_rate": 4.284970874200017e-06, + "loss": 0.6408, + "step": 1587 + }, + { + "epoch": 0.7779546846295162, + "grad_norm": 0.34813687205314636, + "learning_rate": 4.284057627147612e-06, + "loss": 0.6298, + "step": 1588 + }, + { + "epoch": 0.7784445805266381, + "grad_norm": 0.3582232594490051, + "learning_rate": 4.283143894714078e-06, + "loss": 0.6374, + "step": 1589 + }, + { + "epoch": 0.7789344764237599, + "grad_norm": 0.35491639375686646, + "learning_rate": 4.28222967714801e-06, + "loss": 0.6355, + "step": 1590 + }, + { + "epoch": 0.7794243723208818, + "grad_norm": 0.36043015122413635, + "learning_rate": 4.281314974698135e-06, + "loss": 0.6373, + "step": 1591 + }, + { + "epoch": 0.7799142682180037, + "grad_norm": 0.3543197512626648, + "learning_rate": 4.280399787613314e-06, + "loss": 0.63, + "step": 1592 + }, + { + "epoch": 0.7804041641151256, + "grad_norm": 0.3556041419506073, + "learning_rate": 4.279484116142536e-06, + "loss": 0.6066, + "step": 1593 + }, + { + "epoch": 0.7808940600122474, + "grad_norm": 0.35114777088165283, + "learning_rate": 4.278567960534925e-06, + "loss": 0.6397, + "step": 1594 + }, + { + "epoch": 0.7813839559093693, + "grad_norm": 0.35579121112823486, + "learning_rate": 4.277651321039736e-06, + "loss": 0.6348, + "step": 1595 + }, + { + "epoch": 0.7818738518064912, + "grad_norm": 0.35150033235549927, + "learning_rate": 4.2767341979063535e-06, + "loss": 0.6416, + "step": 1596 + }, + { + "epoch": 0.7823637477036129, + "grad_norm": 0.3624979853630066, + "learning_rate": 4.2758165913842975e-06, + "loss": 0.5853, + "step": 1597 + }, + { + "epoch": 0.7828536436007348, + "grad_norm": 0.3627711236476898, + "learning_rate": 4.274898501723217e-06, + "loss": 0.6421, + "step": 1598 + }, + { + "epoch": 0.7833435394978567, + "grad_norm": 0.36170175671577454, + "learning_rate": 4.273979929172892e-06, + "loss": 0.6371, + "step": 1599 + }, + { + "epoch": 0.7838334353949785, + "grad_norm": 0.3567507863044739, + "learning_rate": 4.273060873983235e-06, + "loss": 0.6386, + "step": 1600 + }, + { + "epoch": 0.7843233312921004, + "grad_norm": 0.3699304163455963, + "learning_rate": 4.27214133640429e-06, + "loss": 0.6442, + "step": 1601 + }, + { + "epoch": 0.7848132271892223, + "grad_norm": 0.36581847071647644, + "learning_rate": 4.271221316686232e-06, + "loss": 0.6471, + "step": 1602 + }, + { + "epoch": 0.7853031230863442, + "grad_norm": 0.35311195254325867, + "learning_rate": 4.270300815079365e-06, + "loss": 0.6282, + "step": 1603 + }, + { + "epoch": 0.785793018983466, + "grad_norm": 0.3268887400627136, + "learning_rate": 4.269379831834127e-06, + "loss": 0.6128, + "step": 1604 + }, + { + "epoch": 0.7862829148805879, + "grad_norm": 0.3437340557575226, + "learning_rate": 4.268458367201088e-06, + "loss": 0.6396, + "step": 1605 + }, + { + "epoch": 0.7867728107777098, + "grad_norm": 0.3491259813308716, + "learning_rate": 4.267536421430946e-06, + "loss": 0.6194, + "step": 1606 + }, + { + "epoch": 0.7872627066748316, + "grad_norm": 0.34736862778663635, + "learning_rate": 4.266613994774528e-06, + "loss": 0.6167, + "step": 1607 + }, + { + "epoch": 0.7877526025719535, + "grad_norm": 0.35211804509162903, + "learning_rate": 4.265691087482799e-06, + "loss": 0.6222, + "step": 1608 + }, + { + "epoch": 0.7882424984690753, + "grad_norm": 0.35701170563697815, + "learning_rate": 4.264767699806848e-06, + "loss": 0.6133, + "step": 1609 + }, + { + "epoch": 0.7887323943661971, + "grad_norm": 0.33028626441955566, + "learning_rate": 4.263843831997899e-06, + "loss": 0.6248, + "step": 1610 + }, + { + "epoch": 0.789222290263319, + "grad_norm": 0.3628077208995819, + "learning_rate": 4.262919484307303e-06, + "loss": 0.6366, + "step": 1611 + }, + { + "epoch": 0.7897121861604409, + "grad_norm": 0.3530922830104828, + "learning_rate": 4.2619946569865445e-06, + "loss": 0.6366, + "step": 1612 + }, + { + "epoch": 0.7902020820575628, + "grad_norm": 0.3449934422969818, + "learning_rate": 4.261069350287237e-06, + "loss": 0.6086, + "step": 1613 + }, + { + "epoch": 0.7906919779546846, + "grad_norm": 0.3515269458293915, + "learning_rate": 4.260143564461126e-06, + "loss": 0.5886, + "step": 1614 + }, + { + "epoch": 0.7911818738518065, + "grad_norm": 0.3541713356971741, + "learning_rate": 4.259217299760083e-06, + "loss": 0.6526, + "step": 1615 + }, + { + "epoch": 0.7916717697489284, + "grad_norm": 0.3405754268169403, + "learning_rate": 4.258290556436117e-06, + "loss": 0.6439, + "step": 1616 + }, + { + "epoch": 0.7921616656460502, + "grad_norm": 0.35600221157073975, + "learning_rate": 4.257363334741361e-06, + "loss": 0.6257, + "step": 1617 + }, + { + "epoch": 0.7926515615431721, + "grad_norm": 0.35318514704704285, + "learning_rate": 4.256435634928081e-06, + "loss": 0.6513, + "step": 1618 + }, + { + "epoch": 0.793141457440294, + "grad_norm": 0.34695348143577576, + "learning_rate": 4.255507457248672e-06, + "loss": 0.6401, + "step": 1619 + }, + { + "epoch": 0.7936313533374157, + "grad_norm": 0.33103105425834656, + "learning_rate": 4.25457880195566e-06, + "loss": 0.6261, + "step": 1620 + }, + { + "epoch": 0.7941212492345376, + "grad_norm": 0.35367587208747864, + "learning_rate": 4.2536496693016995e-06, + "loss": 0.6213, + "step": 1621 + }, + { + "epoch": 0.7946111451316595, + "grad_norm": 0.35644322633743286, + "learning_rate": 4.252720059539577e-06, + "loss": 0.6512, + "step": 1622 + }, + { + "epoch": 0.7951010410287814, + "grad_norm": 0.3602214753627777, + "learning_rate": 4.251789972922206e-06, + "loss": 0.6137, + "step": 1623 + }, + { + "epoch": 0.7955909369259032, + "grad_norm": 0.36309823393821716, + "learning_rate": 4.250859409702632e-06, + "loss": 0.6002, + "step": 1624 + }, + { + "epoch": 0.7960808328230251, + "grad_norm": 0.365477055311203, + "learning_rate": 4.24992837013403e-06, + "loss": 0.6633, + "step": 1625 + }, + { + "epoch": 0.796570728720147, + "grad_norm": 0.3455202877521515, + "learning_rate": 4.2489968544697045e-06, + "loss": 0.6502, + "step": 1626 + }, + { + "epoch": 0.7970606246172688, + "grad_norm": 0.37106695771217346, + "learning_rate": 4.248064862963087e-06, + "loss": 0.6236, + "step": 1627 + }, + { + "epoch": 0.7975505205143907, + "grad_norm": 0.3467376232147217, + "learning_rate": 4.247132395867742e-06, + "loss": 0.6214, + "step": 1628 + }, + { + "epoch": 0.7980404164115126, + "grad_norm": 0.3580789268016815, + "learning_rate": 4.246199453437362e-06, + "loss": 0.6419, + "step": 1629 + }, + { + "epoch": 0.7985303123086344, + "grad_norm": 0.3447851538658142, + "learning_rate": 4.2452660359257684e-06, + "loss": 0.6233, + "step": 1630 + }, + { + "epoch": 0.7990202082057563, + "grad_norm": 0.36099758744239807, + "learning_rate": 4.244332143586912e-06, + "loss": 0.6256, + "step": 1631 + }, + { + "epoch": 0.7995101041028781, + "grad_norm": 0.3572690188884735, + "learning_rate": 4.243397776674874e-06, + "loss": 0.5994, + "step": 1632 + }, + { + "epoch": 0.8, + "grad_norm": 0.35768821835517883, + "learning_rate": 4.242462935443862e-06, + "loss": 0.6054, + "step": 1633 + }, + { + "epoch": 0.8004898958971218, + "grad_norm": 0.3552550971508026, + "learning_rate": 4.241527620148216e-06, + "loss": 0.6365, + "step": 1634 + }, + { + "epoch": 0.8009797917942437, + "grad_norm": 0.37358149886131287, + "learning_rate": 4.240591831042402e-06, + "loss": 0.6517, + "step": 1635 + }, + { + "epoch": 0.8014696876913656, + "grad_norm": 0.34565654397010803, + "learning_rate": 4.239655568381018e-06, + "loss": 0.6153, + "step": 1636 + }, + { + "epoch": 0.8019595835884874, + "grad_norm": 0.3581133484840393, + "learning_rate": 4.238718832418787e-06, + "loss": 0.6264, + "step": 1637 + }, + { + "epoch": 0.8024494794856093, + "grad_norm": 0.3637845516204834, + "learning_rate": 4.237781623410565e-06, + "loss": 0.638, + "step": 1638 + }, + { + "epoch": 0.8029393753827312, + "grad_norm": 0.36229655146598816, + "learning_rate": 4.236843941611332e-06, + "loss": 0.6106, + "step": 1639 + }, + { + "epoch": 0.8034292712798531, + "grad_norm": 0.358633428812027, + "learning_rate": 4.2359057872762025e-06, + "loss": 0.6628, + "step": 1640 + }, + { + "epoch": 0.8039191671769749, + "grad_norm": 0.35790446400642395, + "learning_rate": 4.2349671606604125e-06, + "loss": 0.6229, + "step": 1641 + }, + { + "epoch": 0.8044090630740968, + "grad_norm": 0.37761494517326355, + "learning_rate": 4.234028062019333e-06, + "loss": 0.6671, + "step": 1642 + }, + { + "epoch": 0.8048989589712187, + "grad_norm": 0.341201514005661, + "learning_rate": 4.233088491608459e-06, + "loss": 0.631, + "step": 1643 + }, + { + "epoch": 0.8053888548683404, + "grad_norm": 0.34282517433166504, + "learning_rate": 4.232148449683418e-06, + "loss": 0.6492, + "step": 1644 + }, + { + "epoch": 0.8058787507654623, + "grad_norm": 0.35871371626853943, + "learning_rate": 4.231207936499959e-06, + "loss": 0.6257, + "step": 1645 + }, + { + "epoch": 0.8063686466625842, + "grad_norm": 0.3889302611351013, + "learning_rate": 4.230266952313968e-06, + "loss": 0.6251, + "step": 1646 + }, + { + "epoch": 0.806858542559706, + "grad_norm": 0.3646315336227417, + "learning_rate": 4.229325497381453e-06, + "loss": 0.6371, + "step": 1647 + }, + { + "epoch": 0.8073484384568279, + "grad_norm": 0.365292489528656, + "learning_rate": 4.22838357195855e-06, + "loss": 0.624, + "step": 1648 + }, + { + "epoch": 0.8078383343539498, + "grad_norm": 0.34523457288742065, + "learning_rate": 4.227441176301527e-06, + "loss": 0.6358, + "step": 1649 + }, + { + "epoch": 0.8083282302510717, + "grad_norm": 0.3475101590156555, + "learning_rate": 4.226498310666776e-06, + "loss": 0.6262, + "step": 1650 + }, + { + "epoch": 0.8088181261481935, + "grad_norm": 0.3511309027671814, + "learning_rate": 4.225554975310819e-06, + "loss": 0.6231, + "step": 1651 + }, + { + "epoch": 0.8093080220453154, + "grad_norm": 0.3588724732398987, + "learning_rate": 4.224611170490307e-06, + "loss": 0.6277, + "step": 1652 + }, + { + "epoch": 0.8097979179424373, + "grad_norm": 0.3514706790447235, + "learning_rate": 4.223666896462015e-06, + "loss": 0.622, + "step": 1653 + }, + { + "epoch": 0.8102878138395591, + "grad_norm": 0.3686499297618866, + "learning_rate": 4.222722153482849e-06, + "loss": 0.6774, + "step": 1654 + }, + { + "epoch": 0.810777709736681, + "grad_norm": 0.3523634374141693, + "learning_rate": 4.221776941809841e-06, + "loss": 0.6279, + "step": 1655 + }, + { + "epoch": 0.8112676056338028, + "grad_norm": 0.3380214273929596, + "learning_rate": 4.22083126170015e-06, + "loss": 0.6245, + "step": 1656 + }, + { + "epoch": 0.8117575015309246, + "grad_norm": 0.3579692840576172, + "learning_rate": 4.219885113411063e-06, + "loss": 0.614, + "step": 1657 + }, + { + "epoch": 0.8122473974280465, + "grad_norm": 0.3645648956298828, + "learning_rate": 4.218938497199996e-06, + "loss": 0.6338, + "step": 1658 + }, + { + "epoch": 0.8127372933251684, + "grad_norm": 0.34988459944725037, + "learning_rate": 4.21799141332449e-06, + "loss": 0.6407, + "step": 1659 + }, + { + "epoch": 0.8132271892222903, + "grad_norm": 0.35096099972724915, + "learning_rate": 4.217043862042215e-06, + "loss": 0.6379, + "step": 1660 + }, + { + "epoch": 0.8137170851194121, + "grad_norm": 0.37124431133270264, + "learning_rate": 4.216095843610967e-06, + "loss": 0.6242, + "step": 1661 + }, + { + "epoch": 0.814206981016534, + "grad_norm": 0.35415878891944885, + "learning_rate": 4.2151473582886686e-06, + "loss": 0.6206, + "step": 1662 + }, + { + "epoch": 0.8146968769136559, + "grad_norm": 0.3575012981891632, + "learning_rate": 4.214198406333371e-06, + "loss": 0.6119, + "step": 1663 + }, + { + "epoch": 0.8151867728107777, + "grad_norm": 0.34369057416915894, + "learning_rate": 4.213248988003251e-06, + "loss": 0.6221, + "step": 1664 + }, + { + "epoch": 0.8156766687078996, + "grad_norm": 0.36129137873649597, + "learning_rate": 4.212299103556614e-06, + "loss": 0.6347, + "step": 1665 + }, + { + "epoch": 0.8161665646050215, + "grad_norm": 0.35974010825157166, + "learning_rate": 4.211348753251891e-06, + "loss": 0.6499, + "step": 1666 + }, + { + "epoch": 0.8166564605021432, + "grad_norm": 0.3585021197795868, + "learning_rate": 4.210397937347638e-06, + "loss": 0.6611, + "step": 1667 + }, + { + "epoch": 0.8171463563992651, + "grad_norm": 0.36124205589294434, + "learning_rate": 4.2094466561025415e-06, + "loss": 0.6432, + "step": 1668 + }, + { + "epoch": 0.817636252296387, + "grad_norm": 0.3618478775024414, + "learning_rate": 4.208494909775413e-06, + "loss": 0.612, + "step": 1669 + }, + { + "epoch": 0.8181261481935089, + "grad_norm": 0.3520048260688782, + "learning_rate": 4.207542698625188e-06, + "loss": 0.6263, + "step": 1670 + }, + { + "epoch": 0.8186160440906307, + "grad_norm": 0.36058175563812256, + "learning_rate": 4.2065900229109315e-06, + "loss": 0.6556, + "step": 1671 + }, + { + "epoch": 0.8191059399877526, + "grad_norm": 0.34738948941230774, + "learning_rate": 4.205636882891835e-06, + "loss": 0.6356, + "step": 1672 + }, + { + "epoch": 0.8195958358848745, + "grad_norm": 0.3644973933696747, + "learning_rate": 4.204683278827214e-06, + "loss": 0.6252, + "step": 1673 + }, + { + "epoch": 0.8200857317819963, + "grad_norm": 0.3600853979587555, + "learning_rate": 4.203729210976513e-06, + "loss": 0.6384, + "step": 1674 + }, + { + "epoch": 0.8205756276791182, + "grad_norm": 0.3561994135379791, + "learning_rate": 4.2027746795993e-06, + "loss": 0.6208, + "step": 1675 + }, + { + "epoch": 0.8210655235762401, + "grad_norm": 0.3534051179885864, + "learning_rate": 4.20181968495527e-06, + "loss": 0.6327, + "step": 1676 + }, + { + "epoch": 0.8215554194733619, + "grad_norm": 0.36424657702445984, + "learning_rate": 4.200864227304247e-06, + "loss": 0.6232, + "step": 1677 + }, + { + "epoch": 0.8220453153704838, + "grad_norm": 0.35763734579086304, + "learning_rate": 4.199908306906176e-06, + "loss": 0.6281, + "step": 1678 + }, + { + "epoch": 0.8225352112676056, + "grad_norm": 0.3533649146556854, + "learning_rate": 4.1989519240211305e-06, + "loss": 0.6262, + "step": 1679 + }, + { + "epoch": 0.8230251071647275, + "grad_norm": 0.3638383746147156, + "learning_rate": 4.197995078909311e-06, + "loss": 0.6343, + "step": 1680 + }, + { + "epoch": 0.8235150030618493, + "grad_norm": 0.348105788230896, + "learning_rate": 4.197037771831041e-06, + "loss": 0.6216, + "step": 1681 + }, + { + "epoch": 0.8240048989589712, + "grad_norm": 0.33755728602409363, + "learning_rate": 4.1960800030467705e-06, + "loss": 0.6325, + "step": 1682 + }, + { + "epoch": 0.8244947948560931, + "grad_norm": 0.34193381667137146, + "learning_rate": 4.195121772817077e-06, + "loss": 0.6257, + "step": 1683 + }, + { + "epoch": 0.8249846907532149, + "grad_norm": 0.3726844787597656, + "learning_rate": 4.194163081402662e-06, + "loss": 0.6393, + "step": 1684 + }, + { + "epoch": 0.8254745866503368, + "grad_norm": 0.3632981777191162, + "learning_rate": 4.1932039290643534e-06, + "loss": 0.6377, + "step": 1685 + }, + { + "epoch": 0.8259644825474587, + "grad_norm": 0.3556203544139862, + "learning_rate": 4.192244316063102e-06, + "loss": 0.621, + "step": 1686 + }, + { + "epoch": 0.8264543784445805, + "grad_norm": 0.34743455052375793, + "learning_rate": 4.191284242659986e-06, + "loss": 0.6416, + "step": 1687 + }, + { + "epoch": 0.8269442743417024, + "grad_norm": 0.3578084707260132, + "learning_rate": 4.190323709116211e-06, + "loss": 0.6362, + "step": 1688 + }, + { + "epoch": 0.8274341702388243, + "grad_norm": 0.36085325479507446, + "learning_rate": 4.189362715693102e-06, + "loss": 0.6291, + "step": 1689 + }, + { + "epoch": 0.8279240661359462, + "grad_norm": 0.36349424719810486, + "learning_rate": 4.188401262652114e-06, + "loss": 0.5976, + "step": 1690 + }, + { + "epoch": 0.8284139620330679, + "grad_norm": 0.3622356355190277, + "learning_rate": 4.187439350254826e-06, + "loss": 0.6348, + "step": 1691 + }, + { + "epoch": 0.8289038579301898, + "grad_norm": 0.3604823052883148, + "learning_rate": 4.186476978762941e-06, + "loss": 0.6329, + "step": 1692 + }, + { + "epoch": 0.8293937538273117, + "grad_norm": 0.36562973260879517, + "learning_rate": 4.185514148438288e-06, + "loss": 0.6238, + "step": 1693 + }, + { + "epoch": 0.8298836497244335, + "grad_norm": 0.36667400598526, + "learning_rate": 4.184550859542819e-06, + "loss": 0.6411, + "step": 1694 + }, + { + "epoch": 0.8303735456215554, + "grad_norm": 0.36434921622276306, + "learning_rate": 4.183587112338613e-06, + "loss": 0.6578, + "step": 1695 + }, + { + "epoch": 0.8308634415186773, + "grad_norm": 0.3545973002910614, + "learning_rate": 4.182622907087872e-06, + "loss": 0.6012, + "step": 1696 + }, + { + "epoch": 0.8313533374157991, + "grad_norm": 0.3564360737800598, + "learning_rate": 4.181658244052924e-06, + "loss": 0.648, + "step": 1697 + }, + { + "epoch": 0.831843233312921, + "grad_norm": 0.3650110065937042, + "learning_rate": 4.180693123496221e-06, + "loss": 0.6444, + "step": 1698 + }, + { + "epoch": 0.8323331292100429, + "grad_norm": 0.35943543910980225, + "learning_rate": 4.179727545680338e-06, + "loss": 0.6427, + "step": 1699 + }, + { + "epoch": 0.8328230251071648, + "grad_norm": 0.3513593375682831, + "learning_rate": 4.178761510867977e-06, + "loss": 0.637, + "step": 1700 + }, + { + "epoch": 0.8333129210042866, + "grad_norm": 0.3554759621620178, + "learning_rate": 4.177795019321963e-06, + "loss": 0.6416, + "step": 1701 + }, + { + "epoch": 0.8338028169014085, + "grad_norm": 0.35935404896736145, + "learning_rate": 4.176828071305244e-06, + "loss": 0.636, + "step": 1702 + }, + { + "epoch": 0.8342927127985303, + "grad_norm": 0.35404741764068604, + "learning_rate": 4.175860667080896e-06, + "loss": 0.6075, + "step": 1703 + }, + { + "epoch": 0.8347826086956521, + "grad_norm": 0.36948296427726746, + "learning_rate": 4.174892806912113e-06, + "loss": 0.6297, + "step": 1704 + }, + { + "epoch": 0.835272504592774, + "grad_norm": 0.34789204597473145, + "learning_rate": 4.1739244910622205e-06, + "loss": 0.6319, + "step": 1705 + }, + { + "epoch": 0.8357624004898959, + "grad_norm": 0.372383713722229, + "learning_rate": 4.172955719794662e-06, + "loss": 0.6421, + "step": 1706 + }, + { + "epoch": 0.8362522963870178, + "grad_norm": 0.37573274970054626, + "learning_rate": 4.171986493373008e-06, + "loss": 0.612, + "step": 1707 + }, + { + "epoch": 0.8367421922841396, + "grad_norm": 0.3678482174873352, + "learning_rate": 4.171016812060951e-06, + "loss": 0.5881, + "step": 1708 + }, + { + "epoch": 0.8372320881812615, + "grad_norm": 0.36841633915901184, + "learning_rate": 4.170046676122309e-06, + "loss": 0.5933, + "step": 1709 + }, + { + "epoch": 0.8377219840783834, + "grad_norm": 0.33924609422683716, + "learning_rate": 4.169076085821021e-06, + "loss": 0.639, + "step": 1710 + }, + { + "epoch": 0.8382118799755052, + "grad_norm": 0.3626523017883301, + "learning_rate": 4.168105041421155e-06, + "loss": 0.6169, + "step": 1711 + }, + { + "epoch": 0.8387017758726271, + "grad_norm": 0.3452063798904419, + "learning_rate": 4.167133543186896e-06, + "loss": 0.632, + "step": 1712 + }, + { + "epoch": 0.839191671769749, + "grad_norm": 0.34949636459350586, + "learning_rate": 4.166161591382557e-06, + "loss": 0.6253, + "step": 1713 + }, + { + "epoch": 0.8396815676668707, + "grad_norm": 0.37437132000923157, + "learning_rate": 4.165189186272572e-06, + "loss": 0.6222, + "step": 1714 + }, + { + "epoch": 0.8401714635639926, + "grad_norm": 0.35469987988471985, + "learning_rate": 4.164216328121499e-06, + "loss": 0.6246, + "step": 1715 + }, + { + "epoch": 0.8406613594611145, + "grad_norm": 0.33854183554649353, + "learning_rate": 4.1632430171940196e-06, + "loss": 0.627, + "step": 1716 + }, + { + "epoch": 0.8411512553582364, + "grad_norm": 0.357943058013916, + "learning_rate": 4.162269253754939e-06, + "loss": 0.6306, + "step": 1717 + }, + { + "epoch": 0.8416411512553582, + "grad_norm": 0.36788368225097656, + "learning_rate": 4.161295038069186e-06, + "loss": 0.6325, + "step": 1718 + }, + { + "epoch": 0.8421310471524801, + "grad_norm": 0.35560229420661926, + "learning_rate": 4.160320370401809e-06, + "loss": 0.6382, + "step": 1719 + }, + { + "epoch": 0.842620943049602, + "grad_norm": 0.37370407581329346, + "learning_rate": 4.1593452510179834e-06, + "loss": 0.6626, + "step": 1720 + }, + { + "epoch": 0.8431108389467238, + "grad_norm": 0.3486816883087158, + "learning_rate": 4.158369680183006e-06, + "loss": 0.6257, + "step": 1721 + }, + { + "epoch": 0.8436007348438457, + "grad_norm": 0.38826611638069153, + "learning_rate": 4.157393658162296e-06, + "loss": 0.6456, + "step": 1722 + }, + { + "epoch": 0.8440906307409676, + "grad_norm": 0.3426065146923065, + "learning_rate": 4.156417185221393e-06, + "loss": 0.6116, + "step": 1723 + }, + { + "epoch": 0.8445805266380894, + "grad_norm": 0.34008917212486267, + "learning_rate": 4.155440261625966e-06, + "loss": 0.6092, + "step": 1724 + }, + { + "epoch": 0.8450704225352113, + "grad_norm": 0.36330732703208923, + "learning_rate": 4.154462887641801e-06, + "loss": 0.6345, + "step": 1725 + }, + { + "epoch": 0.8455603184323331, + "grad_norm": 0.33931586146354675, + "learning_rate": 4.153485063534807e-06, + "loss": 0.6216, + "step": 1726 + }, + { + "epoch": 0.846050214329455, + "grad_norm": 0.35162895917892456, + "learning_rate": 4.152506789571018e-06, + "loss": 0.6104, + "step": 1727 + }, + { + "epoch": 0.8465401102265768, + "grad_norm": 0.3457432985305786, + "learning_rate": 4.151528066016589e-06, + "loss": 0.6292, + "step": 1728 + }, + { + "epoch": 0.8470300061236987, + "grad_norm": 0.3506641685962677, + "learning_rate": 4.150548893137796e-06, + "loss": 0.6454, + "step": 1729 + }, + { + "epoch": 0.8475199020208206, + "grad_norm": 0.3497201204299927, + "learning_rate": 4.149569271201039e-06, + "loss": 0.6035, + "step": 1730 + }, + { + "epoch": 0.8480097979179424, + "grad_norm": 0.36187872290611267, + "learning_rate": 4.148589200472839e-06, + "loss": 0.6305, + "step": 1731 + }, + { + "epoch": 0.8484996938150643, + "grad_norm": 0.3590366244316101, + "learning_rate": 4.147608681219842e-06, + "loss": 0.6045, + "step": 1732 + }, + { + "epoch": 0.8489895897121862, + "grad_norm": 0.34981295466423035, + "learning_rate": 4.146627713708811e-06, + "loss": 0.6359, + "step": 1733 + }, + { + "epoch": 0.849479485609308, + "grad_norm": 0.35321328043937683, + "learning_rate": 4.145646298206636e-06, + "loss": 0.634, + "step": 1734 + }, + { + "epoch": 0.8499693815064299, + "grad_norm": 0.36797085404396057, + "learning_rate": 4.144664434980325e-06, + "loss": 0.6321, + "step": 1735 + }, + { + "epoch": 0.8504592774035518, + "grad_norm": 0.35578250885009766, + "learning_rate": 4.14368212429701e-06, + "loss": 0.6154, + "step": 1736 + }, + { + "epoch": 0.8509491733006737, + "grad_norm": 0.33807629346847534, + "learning_rate": 4.142699366423945e-06, + "loss": 0.6026, + "step": 1737 + }, + { + "epoch": 0.8514390691977954, + "grad_norm": 0.36523035168647766, + "learning_rate": 4.141716161628504e-06, + "loss": 0.5957, + "step": 1738 + }, + { + "epoch": 0.8519289650949173, + "grad_norm": 0.36455363035202026, + "learning_rate": 4.140732510178184e-06, + "loss": 0.6183, + "step": 1739 + }, + { + "epoch": 0.8524188609920392, + "grad_norm": 0.3511872887611389, + "learning_rate": 4.1397484123406015e-06, + "loss": 0.6387, + "step": 1740 + }, + { + "epoch": 0.852908756889161, + "grad_norm": 0.34794583916664124, + "learning_rate": 4.1387638683834974e-06, + "loss": 0.6042, + "step": 1741 + }, + { + "epoch": 0.8533986527862829, + "grad_norm": 0.36754393577575684, + "learning_rate": 4.137778878574732e-06, + "loss": 0.6099, + "step": 1742 + }, + { + "epoch": 0.8538885486834048, + "grad_norm": 0.3553093373775482, + "learning_rate": 4.136793443182287e-06, + "loss": 0.6138, + "step": 1743 + }, + { + "epoch": 0.8543784445805266, + "grad_norm": 0.35336676239967346, + "learning_rate": 4.135807562474267e-06, + "loss": 0.6279, + "step": 1744 + }, + { + "epoch": 0.8548683404776485, + "grad_norm": 0.35361459851264954, + "learning_rate": 4.134821236718895e-06, + "loss": 0.6347, + "step": 1745 + }, + { + "epoch": 0.8553582363747704, + "grad_norm": 0.35480567812919617, + "learning_rate": 4.133834466184516e-06, + "loss": 0.6186, + "step": 1746 + }, + { + "epoch": 0.8558481322718923, + "grad_norm": 0.3604031801223755, + "learning_rate": 4.132847251139599e-06, + "loss": 0.6147, + "step": 1747 + }, + { + "epoch": 0.856338028169014, + "grad_norm": 0.35460978746414185, + "learning_rate": 4.131859591852729e-06, + "loss": 0.6355, + "step": 1748 + }, + { + "epoch": 0.856827924066136, + "grad_norm": 0.3537762761116028, + "learning_rate": 4.130871488592617e-06, + "loss": 0.603, + "step": 1749 + }, + { + "epoch": 0.8573178199632578, + "grad_norm": 0.3467521071434021, + "learning_rate": 4.129882941628089e-06, + "loss": 0.6511, + "step": 1750 + }, + { + "epoch": 0.8578077158603796, + "grad_norm": 0.3615700602531433, + "learning_rate": 4.128893951228098e-06, + "loss": 0.665, + "step": 1751 + }, + { + "epoch": 0.8582976117575015, + "grad_norm": 0.36621513962745667, + "learning_rate": 4.1279045176617115e-06, + "loss": 0.6258, + "step": 1752 + }, + { + "epoch": 0.8587875076546234, + "grad_norm": 0.3570707440376282, + "learning_rate": 4.126914641198123e-06, + "loss": 0.625, + "step": 1753 + }, + { + "epoch": 0.8592774035517452, + "grad_norm": 0.3643128573894501, + "learning_rate": 4.125924322106643e-06, + "loss": 0.6517, + "step": 1754 + }, + { + "epoch": 0.8597672994488671, + "grad_norm": 0.3491007387638092, + "learning_rate": 4.124933560656703e-06, + "loss": 0.6287, + "step": 1755 + }, + { + "epoch": 0.860257195345989, + "grad_norm": 0.3507339060306549, + "learning_rate": 4.123942357117856e-06, + "loss": 0.6517, + "step": 1756 + }, + { + "epoch": 0.8607470912431109, + "grad_norm": 0.3513590097427368, + "learning_rate": 4.122950711759775e-06, + "loss": 0.635, + "step": 1757 + }, + { + "epoch": 0.8612369871402327, + "grad_norm": 0.3566867709159851, + "learning_rate": 4.121958624852253e-06, + "loss": 0.6013, + "step": 1758 + }, + { + "epoch": 0.8617268830373546, + "grad_norm": 0.35651153326034546, + "learning_rate": 4.120966096665201e-06, + "loss": 0.6442, + "step": 1759 + }, + { + "epoch": 0.8622167789344765, + "grad_norm": 0.3672233819961548, + "learning_rate": 4.119973127468654e-06, + "loss": 0.6487, + "step": 1760 + }, + { + "epoch": 0.8627066748315982, + "grad_norm": 0.35391879081726074, + "learning_rate": 4.118979717532764e-06, + "loss": 0.6348, + "step": 1761 + }, + { + "epoch": 0.8631965707287201, + "grad_norm": 0.3441363573074341, + "learning_rate": 4.1179858671278044e-06, + "loss": 0.6458, + "step": 1762 + }, + { + "epoch": 0.863686466625842, + "grad_norm": 0.3333560824394226, + "learning_rate": 4.116991576524167e-06, + "loss": 0.6168, + "step": 1763 + }, + { + "epoch": 0.8641763625229639, + "grad_norm": 0.34725016355514526, + "learning_rate": 4.115996845992366e-06, + "loss": 0.6328, + "step": 1764 + }, + { + "epoch": 0.8646662584200857, + "grad_norm": 0.3482379913330078, + "learning_rate": 4.115001675803033e-06, + "loss": 0.6331, + "step": 1765 + }, + { + "epoch": 0.8651561543172076, + "grad_norm": 0.3419699966907501, + "learning_rate": 4.114006066226919e-06, + "loss": 0.6225, + "step": 1766 + }, + { + "epoch": 0.8656460502143295, + "grad_norm": 0.3558363914489746, + "learning_rate": 4.113010017534896e-06, + "loss": 0.6349, + "step": 1767 + }, + { + "epoch": 0.8661359461114513, + "grad_norm": 0.3551356792449951, + "learning_rate": 4.112013529997954e-06, + "loss": 0.5967, + "step": 1768 + }, + { + "epoch": 0.8666258420085732, + "grad_norm": 0.3523545265197754, + "learning_rate": 4.111016603887205e-06, + "loss": 0.6363, + "step": 1769 + }, + { + "epoch": 0.8671157379056951, + "grad_norm": 0.3577764630317688, + "learning_rate": 4.1100192394738764e-06, + "loss": 0.621, + "step": 1770 + }, + { + "epoch": 0.8676056338028169, + "grad_norm": 0.3645519018173218, + "learning_rate": 4.109021437029318e-06, + "loss": 0.6575, + "step": 1771 + }, + { + "epoch": 0.8680955296999388, + "grad_norm": 0.34731167554855347, + "learning_rate": 4.108023196824998e-06, + "loss": 0.5998, + "step": 1772 + }, + { + "epoch": 0.8685854255970606, + "grad_norm": 0.3572891056537628, + "learning_rate": 4.107024519132503e-06, + "loss": 0.6172, + "step": 1773 + }, + { + "epoch": 0.8690753214941825, + "grad_norm": 0.3890896737575531, + "learning_rate": 4.10602540422354e-06, + "loss": 0.6429, + "step": 1774 + }, + { + "epoch": 0.8695652173913043, + "grad_norm": 0.3684241473674774, + "learning_rate": 4.105025852369933e-06, + "loss": 0.6395, + "step": 1775 + }, + { + "epoch": 0.8700551132884262, + "grad_norm": 0.3604837656021118, + "learning_rate": 4.104025863843626e-06, + "loss": 0.6513, + "step": 1776 + }, + { + "epoch": 0.8705450091855481, + "grad_norm": 0.35402780771255493, + "learning_rate": 4.103025438916682e-06, + "loss": 0.6296, + "step": 1777 + }, + { + "epoch": 0.8710349050826699, + "grad_norm": 0.3665107786655426, + "learning_rate": 4.102024577861282e-06, + "loss": 0.6351, + "step": 1778 + }, + { + "epoch": 0.8715248009797918, + "grad_norm": 0.3513564169406891, + "learning_rate": 4.101023280949726e-06, + "loss": 0.647, + "step": 1779 + }, + { + "epoch": 0.8720146968769137, + "grad_norm": 0.3502311706542969, + "learning_rate": 4.100021548454434e-06, + "loss": 0.6501, + "step": 1780 + }, + { + "epoch": 0.8725045927740355, + "grad_norm": 0.37091171741485596, + "learning_rate": 4.0990193806479426e-06, + "loss": 0.6542, + "step": 1781 + }, + { + "epoch": 0.8729944886711574, + "grad_norm": 0.35671868920326233, + "learning_rate": 4.098016777802907e-06, + "loss": 0.6384, + "step": 1782 + }, + { + "epoch": 0.8734843845682793, + "grad_norm": 0.3722166121006012, + "learning_rate": 4.097013740192101e-06, + "loss": 0.6407, + "step": 1783 + }, + { + "epoch": 0.8739742804654012, + "grad_norm": 0.37666139006614685, + "learning_rate": 4.096010268088418e-06, + "loss": 0.6438, + "step": 1784 + }, + { + "epoch": 0.8744641763625229, + "grad_norm": 0.3596649169921875, + "learning_rate": 4.095006361764867e-06, + "loss": 0.6393, + "step": 1785 + }, + { + "epoch": 0.8749540722596448, + "grad_norm": 0.37628263235092163, + "learning_rate": 4.094002021494577e-06, + "loss": 0.6187, + "step": 1786 + }, + { + "epoch": 0.8754439681567667, + "grad_norm": 0.3606310188770294, + "learning_rate": 4.092997247550796e-06, + "loss": 0.6279, + "step": 1787 + }, + { + "epoch": 0.8759338640538885, + "grad_norm": 0.3513457179069519, + "learning_rate": 4.091992040206887e-06, + "loss": 0.6319, + "step": 1788 + }, + { + "epoch": 0.8764237599510104, + "grad_norm": 0.34625834226608276, + "learning_rate": 4.090986399736333e-06, + "loss": 0.6373, + "step": 1789 + }, + { + "epoch": 0.8769136558481323, + "grad_norm": 0.3485386371612549, + "learning_rate": 4.089980326412734e-06, + "loss": 0.6302, + "step": 1790 + }, + { + "epoch": 0.8774035517452541, + "grad_norm": 0.35028499364852905, + "learning_rate": 4.088973820509811e-06, + "loss": 0.6411, + "step": 1791 + }, + { + "epoch": 0.877893447642376, + "grad_norm": 0.35805413126945496, + "learning_rate": 4.087966882301396e-06, + "loss": 0.6194, + "step": 1792 + }, + { + "epoch": 0.8783833435394979, + "grad_norm": 0.35562488436698914, + "learning_rate": 4.086959512061444e-06, + "loss": 0.622, + "step": 1793 + }, + { + "epoch": 0.8788732394366198, + "grad_norm": 0.33581987023353577, + "learning_rate": 4.085951710064027e-06, + "loss": 0.568, + "step": 1794 + }, + { + "epoch": 0.8793631353337416, + "grad_norm": 0.34489452838897705, + "learning_rate": 4.084943476583332e-06, + "loss": 0.6419, + "step": 1795 + }, + { + "epoch": 0.8798530312308634, + "grad_norm": 0.35095247626304626, + "learning_rate": 4.0839348118936665e-06, + "loss": 0.6247, + "step": 1796 + }, + { + "epoch": 0.8803429271279853, + "grad_norm": 0.34744447469711304, + "learning_rate": 4.082925716269452e-06, + "loss": 0.6157, + "step": 1797 + }, + { + "epoch": 0.8808328230251071, + "grad_norm": 0.35207876563072205, + "learning_rate": 4.08191618998523e-06, + "loss": 0.6346, + "step": 1798 + }, + { + "epoch": 0.881322718922229, + "grad_norm": 0.3440977931022644, + "learning_rate": 4.080906233315658e-06, + "loss": 0.6332, + "step": 1799 + }, + { + "epoch": 0.8818126148193509, + "grad_norm": 0.3496447801589966, + "learning_rate": 4.0798958465355095e-06, + "loss": 0.6404, + "step": 1800 + }, + { + "epoch": 0.8823025107164727, + "grad_norm": 0.3570871651172638, + "learning_rate": 4.078885029919678e-06, + "loss": 0.6242, + "step": 1801 + }, + { + "epoch": 0.8827924066135946, + "grad_norm": 0.36829832196235657, + "learning_rate": 4.077873783743171e-06, + "loss": 0.6245, + "step": 1802 + }, + { + "epoch": 0.8832823025107165, + "grad_norm": 0.36631497740745544, + "learning_rate": 4.076862108281116e-06, + "loss": 0.6343, + "step": 1803 + }, + { + "epoch": 0.8837721984078384, + "grad_norm": 0.358917772769928, + "learning_rate": 4.075850003808752e-06, + "loss": 0.6369, + "step": 1804 + }, + { + "epoch": 0.8842620943049602, + "grad_norm": 0.36538082361221313, + "learning_rate": 4.07483747060144e-06, + "loss": 0.6323, + "step": 1805 + }, + { + "epoch": 0.8847519902020821, + "grad_norm": 0.3712175190448761, + "learning_rate": 4.073824508934656e-06, + "loss": 0.6186, + "step": 1806 + }, + { + "epoch": 0.885241886099204, + "grad_norm": 0.3590482771396637, + "learning_rate": 4.072811119083992e-06, + "loss": 0.6177, + "step": 1807 + }, + { + "epoch": 0.8857317819963257, + "grad_norm": 0.3526355028152466, + "learning_rate": 4.0717973013251564e-06, + "loss": 0.6115, + "step": 1808 + }, + { + "epoch": 0.8862216778934476, + "grad_norm": 0.35488682985305786, + "learning_rate": 4.070783055933975e-06, + "loss": 0.6342, + "step": 1809 + }, + { + "epoch": 0.8867115737905695, + "grad_norm": 0.3698574900627136, + "learning_rate": 4.069768383186388e-06, + "loss": 0.5936, + "step": 1810 + }, + { + "epoch": 0.8872014696876913, + "grad_norm": 0.3756300210952759, + "learning_rate": 4.068753283358455e-06, + "loss": 0.6303, + "step": 1811 + }, + { + "epoch": 0.8876913655848132, + "grad_norm": 0.36526453495025635, + "learning_rate": 4.067737756726348e-06, + "loss": 0.6407, + "step": 1812 + }, + { + "epoch": 0.8881812614819351, + "grad_norm": 0.3452131450176239, + "learning_rate": 4.066721803566358e-06, + "loss": 0.5891, + "step": 1813 + }, + { + "epoch": 0.888671157379057, + "grad_norm": 0.3645488917827606, + "learning_rate": 4.065705424154892e-06, + "loss": 0.6425, + "step": 1814 + }, + { + "epoch": 0.8891610532761788, + "grad_norm": 0.3663477301597595, + "learning_rate": 4.064688618768472e-06, + "loss": 0.6577, + "step": 1815 + }, + { + "epoch": 0.8896509491733007, + "grad_norm": 0.3654061257839203, + "learning_rate": 4.0636713876837345e-06, + "loss": 0.6422, + "step": 1816 + }, + { + "epoch": 0.8901408450704226, + "grad_norm": 0.3733082711696625, + "learning_rate": 4.062653731177434e-06, + "loss": 0.6006, + "step": 1817 + }, + { + "epoch": 0.8906307409675444, + "grad_norm": 0.3536593019962311, + "learning_rate": 4.06163564952644e-06, + "loss": 0.6134, + "step": 1818 + }, + { + "epoch": 0.8911206368646662, + "grad_norm": 0.3528878092765808, + "learning_rate": 4.060617143007739e-06, + "loss": 0.6341, + "step": 1819 + }, + { + "epoch": 0.8916105327617881, + "grad_norm": 0.35610130429267883, + "learning_rate": 4.05959821189843e-06, + "loss": 0.617, + "step": 1820 + }, + { + "epoch": 0.8921004286589099, + "grad_norm": 0.35914796590805054, + "learning_rate": 4.058578856475731e-06, + "loss": 0.6271, + "step": 1821 + }, + { + "epoch": 0.8925903245560318, + "grad_norm": 0.36907869577407837, + "learning_rate": 4.0575590770169724e-06, + "loss": 0.6567, + "step": 1822 + }, + { + "epoch": 0.8930802204531537, + "grad_norm": 0.3563164174556732, + "learning_rate": 4.0565388737996016e-06, + "loss": 0.6443, + "step": 1823 + }, + { + "epoch": 0.8935701163502756, + "grad_norm": 0.3560650944709778, + "learning_rate": 4.055518247101182e-06, + "loss": 0.6574, + "step": 1824 + }, + { + "epoch": 0.8940600122473974, + "grad_norm": 0.3615463078022003, + "learning_rate": 4.0544971971993905e-06, + "loss": 0.625, + "step": 1825 + }, + { + "epoch": 0.8945499081445193, + "grad_norm": 0.3564011752605438, + "learning_rate": 4.053475724372019e-06, + "loss": 0.6119, + "step": 1826 + }, + { + "epoch": 0.8950398040416412, + "grad_norm": 0.3574683368206024, + "learning_rate": 4.052453828896978e-06, + "loss": 0.5942, + "step": 1827 + }, + { + "epoch": 0.895529699938763, + "grad_norm": 0.35468223690986633, + "learning_rate": 4.051431511052287e-06, + "loss": 0.6016, + "step": 1828 + }, + { + "epoch": 0.8960195958358849, + "grad_norm": 0.3870941698551178, + "learning_rate": 4.0504087711160875e-06, + "loss": 0.6654, + "step": 1829 + }, + { + "epoch": 0.8965094917330068, + "grad_norm": 0.3580857217311859, + "learning_rate": 4.049385609366628e-06, + "loss": 0.6343, + "step": 1830 + }, + { + "epoch": 0.8969993876301287, + "grad_norm": 0.35600078105926514, + "learning_rate": 4.04836202608228e-06, + "loss": 0.6368, + "step": 1831 + }, + { + "epoch": 0.8974892835272504, + "grad_norm": 0.3583797812461853, + "learning_rate": 4.047338021541522e-06, + "loss": 0.6369, + "step": 1832 + }, + { + "epoch": 0.8979791794243723, + "grad_norm": 0.36189258098602295, + "learning_rate": 4.046313596022952e-06, + "loss": 0.6149, + "step": 1833 + }, + { + "epoch": 0.8984690753214942, + "grad_norm": 0.3654255270957947, + "learning_rate": 4.0452887498052825e-06, + "loss": 0.6005, + "step": 1834 + }, + { + "epoch": 0.898958971218616, + "grad_norm": 0.36113041639328003, + "learning_rate": 4.0442634831673375e-06, + "loss": 0.6642, + "step": 1835 + }, + { + "epoch": 0.8994488671157379, + "grad_norm": 0.3693462908267975, + "learning_rate": 4.043237796388056e-06, + "loss": 0.6199, + "step": 1836 + }, + { + "epoch": 0.8999387630128598, + "grad_norm": 0.35426223278045654, + "learning_rate": 4.042211689746496e-06, + "loss": 0.6226, + "step": 1837 + }, + { + "epoch": 0.9004286589099816, + "grad_norm": 0.3826047480106354, + "learning_rate": 4.041185163521822e-06, + "loss": 0.6345, + "step": 1838 + }, + { + "epoch": 0.9009185548071035, + "grad_norm": 0.3614358603954315, + "learning_rate": 4.04015821799332e-06, + "loss": 0.6278, + "step": 1839 + }, + { + "epoch": 0.9014084507042254, + "grad_norm": 0.35768815875053406, + "learning_rate": 4.039130853440385e-06, + "loss": 0.5985, + "step": 1840 + }, + { + "epoch": 0.9018983466013473, + "grad_norm": 0.36194565892219543, + "learning_rate": 4.038103070142528e-06, + "loss": 0.6281, + "step": 1841 + }, + { + "epoch": 0.902388242498469, + "grad_norm": 0.3722645938396454, + "learning_rate": 4.037074868379374e-06, + "loss": 0.6285, + "step": 1842 + }, + { + "epoch": 0.902878138395591, + "grad_norm": 0.3487153947353363, + "learning_rate": 4.036046248430661e-06, + "loss": 0.6345, + "step": 1843 + }, + { + "epoch": 0.9033680342927128, + "grad_norm": 0.35068756341934204, + "learning_rate": 4.035017210576242e-06, + "loss": 0.6214, + "step": 1844 + }, + { + "epoch": 0.9038579301898346, + "grad_norm": 0.3582833409309387, + "learning_rate": 4.033987755096084e-06, + "loss": 0.642, + "step": 1845 + }, + { + "epoch": 0.9043478260869565, + "grad_norm": 0.3385012745857239, + "learning_rate": 4.032957882270264e-06, + "loss": 0.6125, + "step": 1846 + }, + { + "epoch": 0.9048377219840784, + "grad_norm": 0.3503551781177521, + "learning_rate": 4.0319275923789765e-06, + "loss": 0.6447, + "step": 1847 + }, + { + "epoch": 0.9053276178812002, + "grad_norm": 0.35716068744659424, + "learning_rate": 4.03089688570253e-06, + "loss": 0.6371, + "step": 1848 + }, + { + "epoch": 0.9058175137783221, + "grad_norm": 0.36254581809043884, + "learning_rate": 4.029865762521342e-06, + "loss": 0.6388, + "step": 1849 + }, + { + "epoch": 0.906307409675444, + "grad_norm": 0.3596474528312683, + "learning_rate": 4.028834223115947e-06, + "loss": 0.6634, + "step": 1850 + }, + { + "epoch": 0.9067973055725659, + "grad_norm": 0.35758960247039795, + "learning_rate": 4.027802267766991e-06, + "loss": 0.6292, + "step": 1851 + }, + { + "epoch": 0.9072872014696877, + "grad_norm": 0.34626519680023193, + "learning_rate": 4.026769896755235e-06, + "loss": 0.6252, + "step": 1852 + }, + { + "epoch": 0.9077770973668096, + "grad_norm": 0.34695932269096375, + "learning_rate": 4.025737110361551e-06, + "loss": 0.6054, + "step": 1853 + }, + { + "epoch": 0.9082669932639315, + "grad_norm": 0.3792075216770172, + "learning_rate": 4.0247039088669255e-06, + "loss": 0.6513, + "step": 1854 + }, + { + "epoch": 0.9087568891610532, + "grad_norm": 0.36036989092826843, + "learning_rate": 4.023670292552456e-06, + "loss": 0.5844, + "step": 1855 + }, + { + "epoch": 0.9092467850581751, + "grad_norm": 0.3645704388618469, + "learning_rate": 4.022636261699356e-06, + "loss": 0.6277, + "step": 1856 + }, + { + "epoch": 0.909736680955297, + "grad_norm": 0.3849221169948578, + "learning_rate": 4.021601816588948e-06, + "loss": 0.6477, + "step": 1857 + }, + { + "epoch": 0.9102265768524188, + "grad_norm": 0.356092244386673, + "learning_rate": 4.020566957502671e-06, + "loss": 0.6274, + "step": 1858 + }, + { + "epoch": 0.9107164727495407, + "grad_norm": 0.37304049730300903, + "learning_rate": 4.019531684722074e-06, + "loss": 0.5975, + "step": 1859 + }, + { + "epoch": 0.9112063686466626, + "grad_norm": 0.36938560009002686, + "learning_rate": 4.0184959985288194e-06, + "loss": 0.6473, + "step": 1860 + }, + { + "epoch": 0.9116962645437845, + "grad_norm": 0.34542253613471985, + "learning_rate": 4.017459899204681e-06, + "loss": 0.6165, + "step": 1861 + }, + { + "epoch": 0.9121861604409063, + "grad_norm": 0.3559544086456299, + "learning_rate": 4.016423387031548e-06, + "loss": 0.6188, + "step": 1862 + }, + { + "epoch": 0.9126760563380282, + "grad_norm": 0.36169734597206116, + "learning_rate": 4.015386462291419e-06, + "loss": 0.5922, + "step": 1863 + }, + { + "epoch": 0.9131659522351501, + "grad_norm": 0.396477609872818, + "learning_rate": 4.0143491252664055e-06, + "loss": 0.6297, + "step": 1864 + }, + { + "epoch": 0.9136558481322719, + "grad_norm": 0.35498955845832825, + "learning_rate": 4.013311376238732e-06, + "loss": 0.624, + "step": 1865 + }, + { + "epoch": 0.9141457440293937, + "grad_norm": 0.3794139623641968, + "learning_rate": 4.012273215490734e-06, + "loss": 0.6572, + "step": 1866 + }, + { + "epoch": 0.9146356399265156, + "grad_norm": 0.3604520261287689, + "learning_rate": 4.01123464330486e-06, + "loss": 0.63, + "step": 1867 + }, + { + "epoch": 0.9151255358236374, + "grad_norm": 0.36176711320877075, + "learning_rate": 4.010195659963671e-06, + "loss": 0.6218, + "step": 1868 + }, + { + "epoch": 0.9156154317207593, + "grad_norm": 0.360069215297699, + "learning_rate": 4.009156265749836e-06, + "loss": 0.6452, + "step": 1869 + }, + { + "epoch": 0.9161053276178812, + "grad_norm": 0.3508584499359131, + "learning_rate": 4.008116460946141e-06, + "loss": 0.6217, + "step": 1870 + }, + { + "epoch": 0.9165952235150031, + "grad_norm": 0.36335399746894836, + "learning_rate": 4.0070762458354805e-06, + "loss": 0.6274, + "step": 1871 + }, + { + "epoch": 0.9170851194121249, + "grad_norm": 0.3488854467868805, + "learning_rate": 4.0060356207008625e-06, + "loss": 0.6369, + "step": 1872 + }, + { + "epoch": 0.9175750153092468, + "grad_norm": 0.33648115396499634, + "learning_rate": 4.004994585825404e-06, + "loss": 0.5908, + "step": 1873 + }, + { + "epoch": 0.9180649112063687, + "grad_norm": 0.36617884039878845, + "learning_rate": 4.0039531414923365e-06, + "loss": 0.6186, + "step": 1874 + }, + { + "epoch": 0.9185548071034905, + "grad_norm": 0.3616359233856201, + "learning_rate": 4.0029112879850004e-06, + "loss": 0.6173, + "step": 1875 + }, + { + "epoch": 0.9190447030006124, + "grad_norm": 0.3591029644012451, + "learning_rate": 4.001869025586849e-06, + "loss": 0.6218, + "step": 1876 + }, + { + "epoch": 0.9195345988977343, + "grad_norm": 0.3484629988670349, + "learning_rate": 4.000826354581446e-06, + "loss": 0.624, + "step": 1877 + }, + { + "epoch": 0.920024494794856, + "grad_norm": 0.366221159696579, + "learning_rate": 3.9997832752524664e-06, + "loss": 0.6539, + "step": 1878 + }, + { + "epoch": 0.9205143906919779, + "grad_norm": 0.3641989529132843, + "learning_rate": 3.9987397878836976e-06, + "loss": 0.6072, + "step": 1879 + }, + { + "epoch": 0.9210042865890998, + "grad_norm": 0.3581095337867737, + "learning_rate": 3.997695892759035e-06, + "loss": 0.6071, + "step": 1880 + }, + { + "epoch": 0.9214941824862217, + "grad_norm": 0.3488609790802002, + "learning_rate": 3.996651590162488e-06, + "loss": 0.6015, + "step": 1881 + }, + { + "epoch": 0.9219840783833435, + "grad_norm": 0.3491750955581665, + "learning_rate": 3.995606880378176e-06, + "loss": 0.6407, + "step": 1882 + }, + { + "epoch": 0.9224739742804654, + "grad_norm": 0.3692910969257355, + "learning_rate": 3.994561763690328e-06, + "loss": 0.6435, + "step": 1883 + }, + { + "epoch": 0.9229638701775873, + "grad_norm": 0.3535357117652893, + "learning_rate": 3.993516240383285e-06, + "loss": 0.6346, + "step": 1884 + }, + { + "epoch": 0.9234537660747091, + "grad_norm": 0.3640367090702057, + "learning_rate": 3.992470310741497e-06, + "loss": 0.6062, + "step": 1885 + }, + { + "epoch": 0.923943661971831, + "grad_norm": 0.35146427154541016, + "learning_rate": 3.9914239750495276e-06, + "loss": 0.6195, + "step": 1886 + }, + { + "epoch": 0.9244335578689529, + "grad_norm": 0.36105847358703613, + "learning_rate": 3.990377233592048e-06, + "loss": 0.6403, + "step": 1887 + }, + { + "epoch": 0.9249234537660747, + "grad_norm": 0.3821764886379242, + "learning_rate": 3.989330086653841e-06, + "loss": 0.6302, + "step": 1888 + }, + { + "epoch": 0.9254133496631965, + "grad_norm": 0.3889336884021759, + "learning_rate": 3.988282534519799e-06, + "loss": 0.6222, + "step": 1889 + }, + { + "epoch": 0.9259032455603184, + "grad_norm": 0.3606071174144745, + "learning_rate": 3.9872345774749255e-06, + "loss": 0.6098, + "step": 1890 + }, + { + "epoch": 0.9263931414574403, + "grad_norm": 0.3542819619178772, + "learning_rate": 3.986186215804334e-06, + "loss": 0.6222, + "step": 1891 + }, + { + "epoch": 0.9268830373545621, + "grad_norm": 0.35070300102233887, + "learning_rate": 3.985137449793248e-06, + "loss": 0.6436, + "step": 1892 + }, + { + "epoch": 0.927372933251684, + "grad_norm": 0.35780608654022217, + "learning_rate": 3.984088279727e-06, + "loss": 0.6206, + "step": 1893 + }, + { + "epoch": 0.9278628291488059, + "grad_norm": 0.35544446110725403, + "learning_rate": 3.9830387058910345e-06, + "loss": 0.6367, + "step": 1894 + }, + { + "epoch": 0.9283527250459277, + "grad_norm": 0.34838807582855225, + "learning_rate": 3.981988728570904e-06, + "loss": 0.6406, + "step": 1895 + }, + { + "epoch": 0.9288426209430496, + "grad_norm": 0.35056522488594055, + "learning_rate": 3.980938348052272e-06, + "loss": 0.6362, + "step": 1896 + }, + { + "epoch": 0.9293325168401715, + "grad_norm": 0.36799871921539307, + "learning_rate": 3.97988756462091e-06, + "loss": 0.6235, + "step": 1897 + }, + { + "epoch": 0.9298224127372934, + "grad_norm": 0.37848344445228577, + "learning_rate": 3.978836378562702e-06, + "loss": 0.6282, + "step": 1898 + }, + { + "epoch": 0.9303123086344152, + "grad_norm": 0.36926591396331787, + "learning_rate": 3.977784790163638e-06, + "loss": 0.635, + "step": 1899 + }, + { + "epoch": 0.9308022045315371, + "grad_norm": 0.35432732105255127, + "learning_rate": 3.976732799709821e-06, + "loss": 0.6322, + "step": 1900 + }, + { + "epoch": 0.931292100428659, + "grad_norm": 0.36038362979888916, + "learning_rate": 3.97568040748746e-06, + "loss": 0.6028, + "step": 1901 + }, + { + "epoch": 0.9317819963257807, + "grad_norm": 0.3726102113723755, + "learning_rate": 3.974627613782876e-06, + "loss": 0.6231, + "step": 1902 + }, + { + "epoch": 0.9322718922229026, + "grad_norm": 0.36531907320022583, + "learning_rate": 3.973574418882498e-06, + "loss": 0.6362, + "step": 1903 + }, + { + "epoch": 0.9327617881200245, + "grad_norm": 0.3725537955760956, + "learning_rate": 3.9725208230728655e-06, + "loss": 0.6418, + "step": 1904 + }, + { + "epoch": 0.9332516840171463, + "grad_norm": 0.3566921353340149, + "learning_rate": 3.971466826640623e-06, + "loss": 0.644, + "step": 1905 + }, + { + "epoch": 0.9337415799142682, + "grad_norm": 0.35900595784187317, + "learning_rate": 3.970412429872529e-06, + "loss": 0.6519, + "step": 1906 + }, + { + "epoch": 0.9342314758113901, + "grad_norm": 0.36603233218193054, + "learning_rate": 3.969357633055448e-06, + "loss": 0.6341, + "step": 1907 + }, + { + "epoch": 0.934721371708512, + "grad_norm": 0.3567545413970947, + "learning_rate": 3.968302436476356e-06, + "loss": 0.6285, + "step": 1908 + }, + { + "epoch": 0.9352112676056338, + "grad_norm": 0.3554147183895111, + "learning_rate": 3.967246840422334e-06, + "loss": 0.6425, + "step": 1909 + }, + { + "epoch": 0.9357011635027557, + "grad_norm": 0.36624595522880554, + "learning_rate": 3.966190845180574e-06, + "loss": 0.5982, + "step": 1910 + }, + { + "epoch": 0.9361910593998776, + "grad_norm": 0.36004313826560974, + "learning_rate": 3.9651344510383775e-06, + "loss": 0.6278, + "step": 1911 + }, + { + "epoch": 0.9366809552969994, + "grad_norm": 0.35689929127693176, + "learning_rate": 3.964077658283151e-06, + "loss": 0.6367, + "step": 1912 + }, + { + "epoch": 0.9371708511941212, + "grad_norm": 0.35063254833221436, + "learning_rate": 3.963020467202413e-06, + "loss": 0.6005, + "step": 1913 + }, + { + "epoch": 0.9376607470912431, + "grad_norm": 0.37015673518180847, + "learning_rate": 3.96196287808379e-06, + "loss": 0.6258, + "step": 1914 + }, + { + "epoch": 0.9381506429883649, + "grad_norm": 0.3625577390193939, + "learning_rate": 3.960904891215015e-06, + "loss": 0.6365, + "step": 1915 + }, + { + "epoch": 0.9386405388854868, + "grad_norm": 0.3661051392555237, + "learning_rate": 3.9598465068839285e-06, + "loss": 0.6044, + "step": 1916 + }, + { + "epoch": 0.9391304347826087, + "grad_norm": 0.362802118062973, + "learning_rate": 3.958787725378483e-06, + "loss": 0.635, + "step": 1917 + }, + { + "epoch": 0.9396203306797306, + "grad_norm": 0.37044766545295715, + "learning_rate": 3.957728546986735e-06, + "loss": 0.6189, + "step": 1918 + }, + { + "epoch": 0.9401102265768524, + "grad_norm": 0.3538433611392975, + "learning_rate": 3.9566689719968535e-06, + "loss": 0.609, + "step": 1919 + }, + { + "epoch": 0.9406001224739743, + "grad_norm": 0.3680160343647003, + "learning_rate": 3.955609000697109e-06, + "loss": 0.6498, + "step": 1920 + }, + { + "epoch": 0.9410900183710962, + "grad_norm": 0.37171587347984314, + "learning_rate": 3.954548633375887e-06, + "loss": 0.6175, + "step": 1921 + }, + { + "epoch": 0.941579914268218, + "grad_norm": 0.33701273798942566, + "learning_rate": 3.953487870321674e-06, + "loss": 0.5954, + "step": 1922 + }, + { + "epoch": 0.9420698101653399, + "grad_norm": 0.3595403730869293, + "learning_rate": 3.95242671182307e-06, + "loss": 0.6421, + "step": 1923 + }, + { + "epoch": 0.9425597060624618, + "grad_norm": 0.34721899032592773, + "learning_rate": 3.951365158168778e-06, + "loss": 0.639, + "step": 1924 + }, + { + "epoch": 0.9430496019595835, + "grad_norm": 0.3664315640926361, + "learning_rate": 3.950303209647613e-06, + "loss": 0.6145, + "step": 1925 + }, + { + "epoch": 0.9435394978567054, + "grad_norm": 0.3695625066757202, + "learning_rate": 3.949240866548492e-06, + "loss": 0.6511, + "step": 1926 + }, + { + "epoch": 0.9440293937538273, + "grad_norm": 0.3734401762485504, + "learning_rate": 3.948178129160444e-06, + "loss": 0.627, + "step": 1927 + }, + { + "epoch": 0.9445192896509492, + "grad_norm": 0.3736937642097473, + "learning_rate": 3.947114997772602e-06, + "loss": 0.6006, + "step": 1928 + }, + { + "epoch": 0.945009185548071, + "grad_norm": 0.366105318069458, + "learning_rate": 3.946051472674211e-06, + "loss": 0.6031, + "step": 1929 + }, + { + "epoch": 0.9454990814451929, + "grad_norm": 0.3569345474243164, + "learning_rate": 3.944987554154616e-06, + "loss": 0.6117, + "step": 1930 + }, + { + "epoch": 0.9459889773423148, + "grad_norm": 0.35967040061950684, + "learning_rate": 3.943923242503275e-06, + "loss": 0.6417, + "step": 1931 + }, + { + "epoch": 0.9464788732394366, + "grad_norm": 0.365779846906662, + "learning_rate": 3.94285853800975e-06, + "loss": 0.6189, + "step": 1932 + }, + { + "epoch": 0.9469687691365585, + "grad_norm": 0.35282260179519653, + "learning_rate": 3.941793440963712e-06, + "loss": 0.6236, + "step": 1933 + }, + { + "epoch": 0.9474586650336804, + "grad_norm": 0.3678666055202484, + "learning_rate": 3.940727951654936e-06, + "loss": 0.6479, + "step": 1934 + }, + { + "epoch": 0.9479485609308022, + "grad_norm": 0.35487714409828186, + "learning_rate": 3.939662070373306e-06, + "loss": 0.6344, + "step": 1935 + }, + { + "epoch": 0.948438456827924, + "grad_norm": 0.3745673894882202, + "learning_rate": 3.938595797408812e-06, + "loss": 0.6327, + "step": 1936 + }, + { + "epoch": 0.9489283527250459, + "grad_norm": 0.34707069396972656, + "learning_rate": 3.93752913305155e-06, + "loss": 0.6264, + "step": 1937 + }, + { + "epoch": 0.9494182486221678, + "grad_norm": 0.3721786141395569, + "learning_rate": 3.936462077591722e-06, + "loss": 0.6469, + "step": 1938 + }, + { + "epoch": 0.9499081445192896, + "grad_norm": 0.36948245763778687, + "learning_rate": 3.93539463131964e-06, + "loss": 0.6323, + "step": 1939 + }, + { + "epoch": 0.9503980404164115, + "grad_norm": 0.3576546907424927, + "learning_rate": 3.934326794525718e-06, + "loss": 0.6413, + "step": 1940 + }, + { + "epoch": 0.9508879363135334, + "grad_norm": 0.35429394245147705, + "learning_rate": 3.933258567500477e-06, + "loss": 0.6133, + "step": 1941 + }, + { + "epoch": 0.9513778322106552, + "grad_norm": 0.34951600432395935, + "learning_rate": 3.932189950534548e-06, + "loss": 0.6254, + "step": 1942 + }, + { + "epoch": 0.9518677281077771, + "grad_norm": 0.35437116026878357, + "learning_rate": 3.931120943918661e-06, + "loss": 0.6434, + "step": 1943 + }, + { + "epoch": 0.952357624004899, + "grad_norm": 0.35042843222618103, + "learning_rate": 3.9300515479436595e-06, + "loss": 0.6221, + "step": 1944 + }, + { + "epoch": 0.9528475199020208, + "grad_norm": 0.34926679730415344, + "learning_rate": 3.928981762900489e-06, + "loss": 0.5836, + "step": 1945 + }, + { + "epoch": 0.9533374157991427, + "grad_norm": 0.3715307414531708, + "learning_rate": 3.927911589080201e-06, + "loss": 0.6155, + "step": 1946 + }, + { + "epoch": 0.9538273116962646, + "grad_norm": 0.35882413387298584, + "learning_rate": 3.926841026773952e-06, + "loss": 0.6186, + "step": 1947 + }, + { + "epoch": 0.9543172075933865, + "grad_norm": 0.37663209438323975, + "learning_rate": 3.925770076273008e-06, + "loss": 0.6565, + "step": 1948 + }, + { + "epoch": 0.9548071034905082, + "grad_norm": 0.36306554079055786, + "learning_rate": 3.924698737868737e-06, + "loss": 0.6346, + "step": 1949 + }, + { + "epoch": 0.9552969993876301, + "grad_norm": 0.3902411162853241, + "learning_rate": 3.923627011852612e-06, + "loss": 0.584, + "step": 1950 + }, + { + "epoch": 0.955786895284752, + "grad_norm": 0.36925509572029114, + "learning_rate": 3.922554898516216e-06, + "loss": 0.6358, + "step": 1951 + }, + { + "epoch": 0.9562767911818738, + "grad_norm": 0.3701590597629547, + "learning_rate": 3.9214823981512305e-06, + "loss": 0.6185, + "step": 1952 + }, + { + "epoch": 0.9567666870789957, + "grad_norm": 0.36690884828567505, + "learning_rate": 3.920409511049451e-06, + "loss": 0.6318, + "step": 1953 + }, + { + "epoch": 0.9572565829761176, + "grad_norm": 0.38318440318107605, + "learning_rate": 3.919336237502769e-06, + "loss": 0.6082, + "step": 1954 + }, + { + "epoch": 0.9577464788732394, + "grad_norm": 0.37501823902130127, + "learning_rate": 3.918262577803188e-06, + "loss": 0.6186, + "step": 1955 + }, + { + "epoch": 0.9582363747703613, + "grad_norm": 0.34495916962623596, + "learning_rate": 3.917188532242814e-06, + "loss": 0.5996, + "step": 1956 + }, + { + "epoch": 0.9587262706674832, + "grad_norm": 0.35945406556129456, + "learning_rate": 3.916114101113857e-06, + "loss": 0.5956, + "step": 1957 + }, + { + "epoch": 0.9592161665646051, + "grad_norm": 0.36524417996406555, + "learning_rate": 3.915039284708634e-06, + "loss": 0.6537, + "step": 1958 + }, + { + "epoch": 0.9597060624617268, + "grad_norm": 0.3438582420349121, + "learning_rate": 3.913964083319566e-06, + "loss": 0.5874, + "step": 1959 + }, + { + "epoch": 0.9601959583588487, + "grad_norm": 0.3767183721065521, + "learning_rate": 3.912888497239177e-06, + "loss": 0.6268, + "step": 1960 + }, + { + "epoch": 0.9606858542559706, + "grad_norm": 0.3726462125778198, + "learning_rate": 3.911812526760099e-06, + "loss": 0.6273, + "step": 1961 + }, + { + "epoch": 0.9611757501530924, + "grad_norm": 0.3737446367740631, + "learning_rate": 3.910736172175066e-06, + "loss": 0.6267, + "step": 1962 + }, + { + "epoch": 0.9616656460502143, + "grad_norm": 0.3493219017982483, + "learning_rate": 3.909659433776918e-06, + "loss": 0.618, + "step": 1963 + }, + { + "epoch": 0.9621555419473362, + "grad_norm": 0.37235260009765625, + "learning_rate": 3.908582311858597e-06, + "loss": 0.6447, + "step": 1964 + }, + { + "epoch": 0.9626454378444581, + "grad_norm": 0.37288960814476013, + "learning_rate": 3.907504806713154e-06, + "loss": 0.6307, + "step": 1965 + }, + { + "epoch": 0.9631353337415799, + "grad_norm": 0.3650355041027069, + "learning_rate": 3.906426918633738e-06, + "loss": 0.624, + "step": 1966 + }, + { + "epoch": 0.9636252296387018, + "grad_norm": 0.34496167302131653, + "learning_rate": 3.905348647913607e-06, + "loss": 0.6037, + "step": 1967 + }, + { + "epoch": 0.9641151255358237, + "grad_norm": 0.37034958600997925, + "learning_rate": 3.904269994846122e-06, + "loss": 0.608, + "step": 1968 + }, + { + "epoch": 0.9646050214329455, + "grad_norm": 0.3597949743270874, + "learning_rate": 3.903190959724748e-06, + "loss": 0.5981, + "step": 1969 + }, + { + "epoch": 0.9650949173300674, + "grad_norm": 0.3547936975955963, + "learning_rate": 3.902111542843052e-06, + "loss": 0.6195, + "step": 1970 + }, + { + "epoch": 0.9655848132271893, + "grad_norm": 0.3734746277332306, + "learning_rate": 3.9010317444947074e-06, + "loss": 0.6278, + "step": 1971 + }, + { + "epoch": 0.966074709124311, + "grad_norm": 0.3595636487007141, + "learning_rate": 3.899951564973491e-06, + "loss": 0.6236, + "step": 1972 + }, + { + "epoch": 0.9665646050214329, + "grad_norm": 0.3781930208206177, + "learning_rate": 3.898871004573282e-06, + "loss": 0.6224, + "step": 1973 + }, + { + "epoch": 0.9670545009185548, + "grad_norm": 0.35438016057014465, + "learning_rate": 3.897790063588065e-06, + "loss": 0.6445, + "step": 1974 + }, + { + "epoch": 0.9675443968156767, + "grad_norm": 0.361677348613739, + "learning_rate": 3.896708742311925e-06, + "loss": 0.6271, + "step": 1975 + }, + { + "epoch": 0.9680342927127985, + "grad_norm": 0.3686682879924774, + "learning_rate": 3.895627041039055e-06, + "loss": 0.6232, + "step": 1976 + }, + { + "epoch": 0.9685241886099204, + "grad_norm": 0.3676711320877075, + "learning_rate": 3.894544960063748e-06, + "loss": 0.6196, + "step": 1977 + }, + { + "epoch": 0.9690140845070423, + "grad_norm": 0.3637702167034149, + "learning_rate": 3.893462499680399e-06, + "loss": 0.6257, + "step": 1978 + }, + { + "epoch": 0.9695039804041641, + "grad_norm": 0.3684902489185333, + "learning_rate": 3.892379660183512e-06, + "loss": 0.6271, + "step": 1979 + }, + { + "epoch": 0.969993876301286, + "grad_norm": 0.35545337200164795, + "learning_rate": 3.891296441867689e-06, + "loss": 0.6133, + "step": 1980 + }, + { + "epoch": 0.9704837721984079, + "grad_norm": 0.3473877012729645, + "learning_rate": 3.890212845027637e-06, + "loss": 0.6283, + "step": 1981 + }, + { + "epoch": 0.9709736680955297, + "grad_norm": 0.3448870778083801, + "learning_rate": 3.8891288699581655e-06, + "loss": 0.6212, + "step": 1982 + }, + { + "epoch": 0.9714635639926515, + "grad_norm": 0.37230542302131653, + "learning_rate": 3.888044516954187e-06, + "loss": 0.6195, + "step": 1983 + }, + { + "epoch": 0.9719534598897734, + "grad_norm": 0.3552440106868744, + "learning_rate": 3.886959786310718e-06, + "loss": 0.663, + "step": 1984 + }, + { + "epoch": 0.9724433557868953, + "grad_norm": 0.36294302344322205, + "learning_rate": 3.885874678322874e-06, + "loss": 0.6145, + "step": 1985 + }, + { + "epoch": 0.9729332516840171, + "grad_norm": 0.3489057719707489, + "learning_rate": 3.884789193285879e-06, + "loss": 0.6149, + "step": 1986 + }, + { + "epoch": 0.973423147581139, + "grad_norm": 0.3702811002731323, + "learning_rate": 3.8837033314950544e-06, + "loss": 0.6065, + "step": 1987 + }, + { + "epoch": 0.9739130434782609, + "grad_norm": 0.35552167892456055, + "learning_rate": 3.882617093245826e-06, + "loss": 0.6494, + "step": 1988 + }, + { + "epoch": 0.9744029393753827, + "grad_norm": 0.3572336435317993, + "learning_rate": 3.881530478833724e-06, + "loss": 0.6326, + "step": 1989 + }, + { + "epoch": 0.9748928352725046, + "grad_norm": 0.3529970645904541, + "learning_rate": 3.880443488554377e-06, + "loss": 0.6277, + "step": 1990 + }, + { + "epoch": 0.9753827311696265, + "grad_norm": 0.37120121717453003, + "learning_rate": 3.879356122703518e-06, + "loss": 0.6376, + "step": 1991 + }, + { + "epoch": 0.9758726270667483, + "grad_norm": 0.38676661252975464, + "learning_rate": 3.878268381576984e-06, + "loss": 0.6096, + "step": 1992 + }, + { + "epoch": 0.9763625229638702, + "grad_norm": 0.3568069040775299, + "learning_rate": 3.87718026547071e-06, + "loss": 0.5951, + "step": 1993 + }, + { + "epoch": 0.9768524188609921, + "grad_norm": 0.35809725522994995, + "learning_rate": 3.876091774680737e-06, + "loss": 0.5991, + "step": 1994 + }, + { + "epoch": 0.977342314758114, + "grad_norm": 0.367899090051651, + "learning_rate": 3.875002909503205e-06, + "loss": 0.5961, + "step": 1995 + }, + { + "epoch": 0.9778322106552357, + "grad_norm": 0.36738499999046326, + "learning_rate": 3.873913670234358e-06, + "loss": 0.5969, + "step": 1996 + }, + { + "epoch": 0.9783221065523576, + "grad_norm": 0.36432838439941406, + "learning_rate": 3.87282405717054e-06, + "loss": 0.6235, + "step": 1997 + }, + { + "epoch": 0.9788120024494795, + "grad_norm": 0.3667569160461426, + "learning_rate": 3.8717340706081975e-06, + "loss": 0.6168, + "step": 1998 + }, + { + "epoch": 0.9793018983466013, + "grad_norm": 0.3636808395385742, + "learning_rate": 3.870643710843878e-06, + "loss": 0.6294, + "step": 1999 + }, + { + "epoch": 0.9797917942437232, + "grad_norm": 0.3527030646800995, + "learning_rate": 3.869552978174233e-06, + "loss": 0.5993, + "step": 2000 + }, + { + "epoch": 0.9802816901408451, + "grad_norm": 0.35959500074386597, + "learning_rate": 3.868461872896011e-06, + "loss": 0.6486, + "step": 2001 + }, + { + "epoch": 0.9807715860379669, + "grad_norm": 0.36117956042289734, + "learning_rate": 3.8673703953060685e-06, + "loss": 0.6335, + "step": 2002 + }, + { + "epoch": 0.9812614819350888, + "grad_norm": 0.3546423017978668, + "learning_rate": 3.8662785457013544e-06, + "loss": 0.6193, + "step": 2003 + }, + { + "epoch": 0.9817513778322107, + "grad_norm": 0.3523540496826172, + "learning_rate": 3.865186324378927e-06, + "loss": 0.6072, + "step": 2004 + }, + { + "epoch": 0.9822412737293326, + "grad_norm": 0.3531913757324219, + "learning_rate": 3.8640937316359415e-06, + "loss": 0.627, + "step": 2005 + }, + { + "epoch": 0.9827311696264543, + "grad_norm": 0.36261194944381714, + "learning_rate": 3.863000767769655e-06, + "loss": 0.6193, + "step": 2006 + }, + { + "epoch": 0.9832210655235762, + "grad_norm": 0.37107813358306885, + "learning_rate": 3.861907433077425e-06, + "loss": 0.613, + "step": 2007 + }, + { + "epoch": 0.9837109614206981, + "grad_norm": 0.3672920763492584, + "learning_rate": 3.860813727856712e-06, + "loss": 0.6213, + "step": 2008 + }, + { + "epoch": 0.9842008573178199, + "grad_norm": 0.35620445013046265, + "learning_rate": 3.859719652405074e-06, + "loss": 0.6233, + "step": 2009 + }, + { + "epoch": 0.9846907532149418, + "grad_norm": 0.380731999874115, + "learning_rate": 3.858625207020173e-06, + "loss": 0.5993, + "step": 2010 + }, + { + "epoch": 0.9851806491120637, + "grad_norm": 0.3719562888145447, + "learning_rate": 3.85753039199977e-06, + "loss": 0.6203, + "step": 2011 + }, + { + "epoch": 0.9856705450091855, + "grad_norm": 0.3641625940799713, + "learning_rate": 3.856435207641725e-06, + "loss": 0.6091, + "step": 2012 + }, + { + "epoch": 0.9861604409063074, + "grad_norm": 0.3648725152015686, + "learning_rate": 3.855339654244003e-06, + "loss": 0.6306, + "step": 2013 + }, + { + "epoch": 0.9866503368034293, + "grad_norm": 0.3548206090927124, + "learning_rate": 3.8542437321046654e-06, + "loss": 0.6358, + "step": 2014 + }, + { + "epoch": 0.9871402327005512, + "grad_norm": 0.3661384880542755, + "learning_rate": 3.853147441521875e-06, + "loss": 0.6308, + "step": 2015 + }, + { + "epoch": 0.987630128597673, + "grad_norm": 0.35083141922950745, + "learning_rate": 3.8520507827938955e-06, + "loss": 0.6251, + "step": 2016 + }, + { + "epoch": 0.9881200244947949, + "grad_norm": 0.37429776787757874, + "learning_rate": 3.850953756219089e-06, + "loss": 0.6421, + "step": 2017 + }, + { + "epoch": 0.9886099203919168, + "grad_norm": 0.3655894100666046, + "learning_rate": 3.849856362095921e-06, + "loss": 0.6497, + "step": 2018 + }, + { + "epoch": 0.9890998162890385, + "grad_norm": 0.3669481575489044, + "learning_rate": 3.848758600722953e-06, + "loss": 0.6157, + "step": 2019 + }, + { + "epoch": 0.9895897121861604, + "grad_norm": 0.3566364347934723, + "learning_rate": 3.847660472398849e-06, + "loss": 0.6148, + "step": 2020 + }, + { + "epoch": 0.9900796080832823, + "grad_norm": 0.3615729808807373, + "learning_rate": 3.846561977422373e-06, + "loss": 0.6266, + "step": 2021 + }, + { + "epoch": 0.9905695039804041, + "grad_norm": 0.37268856167793274, + "learning_rate": 3.845463116092387e-06, + "loss": 0.6189, + "step": 2022 + }, + { + "epoch": 0.991059399877526, + "grad_norm": 0.37262001633644104, + "learning_rate": 3.844363888707855e-06, + "loss": 0.6033, + "step": 2023 + }, + { + "epoch": 0.9915492957746479, + "grad_norm": 0.3532877564430237, + "learning_rate": 3.843264295567836e-06, + "loss": 0.6293, + "step": 2024 + }, + { + "epoch": 0.9920391916717698, + "grad_norm": 0.370309978723526, + "learning_rate": 3.842164336971496e-06, + "loss": 0.618, + "step": 2025 + }, + { + "epoch": 0.9925290875688916, + "grad_norm": 0.3688422739505768, + "learning_rate": 3.841064013218093e-06, + "loss": 0.6375, + "step": 2026 + }, + { + "epoch": 0.9930189834660135, + "grad_norm": 0.3712131977081299, + "learning_rate": 3.839963324606989e-06, + "loss": 0.637, + "step": 2027 + }, + { + "epoch": 0.9935088793631354, + "grad_norm": 0.348637193441391, + "learning_rate": 3.838862271437643e-06, + "loss": 0.6249, + "step": 2028 + }, + { + "epoch": 0.9939987752602572, + "grad_norm": 0.37826526165008545, + "learning_rate": 3.837760854009614e-06, + "loss": 0.613, + "step": 2029 + }, + { + "epoch": 0.994488671157379, + "grad_norm": 0.3614782989025116, + "learning_rate": 3.836659072622561e-06, + "loss": 0.6404, + "step": 2030 + }, + { + "epoch": 0.9949785670545009, + "grad_norm": 0.3549116849899292, + "learning_rate": 3.83555692757624e-06, + "loss": 0.6055, + "step": 2031 + }, + { + "epoch": 0.9954684629516228, + "grad_norm": 0.34219223260879517, + "learning_rate": 3.834454419170508e-06, + "loss": 0.6064, + "step": 2032 + }, + { + "epoch": 0.9959583588487446, + "grad_norm": 0.35754355788230896, + "learning_rate": 3.833351547705319e-06, + "loss": 0.6182, + "step": 2033 + }, + { + "epoch": 0.9964482547458665, + "grad_norm": 0.36640578508377075, + "learning_rate": 3.832248313480727e-06, + "loss": 0.6177, + "step": 2034 + }, + { + "epoch": 0.9969381506429884, + "grad_norm": 0.36644652485847473, + "learning_rate": 3.831144716796884e-06, + "loss": 0.6331, + "step": 2035 + }, + { + "epoch": 0.9974280465401102, + "grad_norm": 0.35853859782218933, + "learning_rate": 3.830040757954041e-06, + "loss": 0.6277, + "step": 2036 + }, + { + "epoch": 0.9979179424372321, + "grad_norm": 0.344949334859848, + "learning_rate": 3.828936437252549e-06, + "loss": 0.6289, + "step": 2037 + }, + { + "epoch": 0.998407838334354, + "grad_norm": 0.35342395305633545, + "learning_rate": 3.827831754992854e-06, + "loss": 0.6442, + "step": 2038 + }, + { + "epoch": 0.9988977342314758, + "grad_norm": 0.36239710450172424, + "learning_rate": 3.826726711475502e-06, + "loss": 0.633, + "step": 2039 + }, + { + "epoch": 0.9993876301285977, + "grad_norm": 0.35739865899086, + "learning_rate": 3.82562130700114e-06, + "loss": 0.6302, + "step": 2040 + }, + { + "epoch": 0.9998775260257196, + "grad_norm": 0.3577716648578644, + "learning_rate": 3.8245155418705075e-06, + "loss": 0.6137, + "step": 2041 + }, + { + "epoch": 1.0, + "grad_norm": 0.3577716648578644, + "learning_rate": 3.823409416384449e-06, + "loss": 0.5926, + "step": 2042 + }, + { + "epoch": 1.0004898958971218, + "grad_norm": 0.7302512526512146, + "learning_rate": 3.822302930843901e-06, + "loss": 0.6405, + "step": 2043 + }, + { + "epoch": 1.0009797917942438, + "grad_norm": 0.36221715807914734, + "learning_rate": 3.821196085549901e-06, + "loss": 0.6055, + "step": 2044 + }, + { + "epoch": 1.0014696876913656, + "grad_norm": 0.3596571087837219, + "learning_rate": 3.820088880803584e-06, + "loss": 0.6011, + "step": 2045 + }, + { + "epoch": 1.0019595835884874, + "grad_norm": 0.36236104369163513, + "learning_rate": 3.818981316906183e-06, + "loss": 0.6122, + "step": 2046 + }, + { + "epoch": 1.0024494794856094, + "grad_norm": 0.3640836179256439, + "learning_rate": 3.817873394159027e-06, + "loss": 0.6083, + "step": 2047 + }, + { + "epoch": 1.0029393753827311, + "grad_norm": 0.3620013892650604, + "learning_rate": 3.816765112863545e-06, + "loss": 0.6272, + "step": 2048 + }, + { + "epoch": 1.003429271279853, + "grad_norm": 0.3595709204673767, + "learning_rate": 3.815656473321263e-06, + "loss": 0.6135, + "step": 2049 + }, + { + "epoch": 1.003919167176975, + "grad_norm": 0.3717787265777588, + "learning_rate": 3.814547475833802e-06, + "loss": 0.6262, + "step": 2050 + }, + { + "epoch": 1.0044090630740967, + "grad_norm": 0.36989012360572815, + "learning_rate": 3.8134381207028836e-06, + "loss": 0.6255, + "step": 2051 + }, + { + "epoch": 1.0048989589712187, + "grad_norm": 0.37390029430389404, + "learning_rate": 3.8123284082303257e-06, + "loss": 0.5981, + "step": 2052 + }, + { + "epoch": 1.0053888548683405, + "grad_norm": 0.3666386604309082, + "learning_rate": 3.8112183387180424e-06, + "loss": 0.6092, + "step": 2053 + }, + { + "epoch": 1.0058787507654623, + "grad_norm": 0.3583003878593445, + "learning_rate": 3.8101079124680468e-06, + "loss": 0.6094, + "step": 2054 + }, + { + "epoch": 1.0063686466625843, + "grad_norm": 0.37251782417297363, + "learning_rate": 3.808997129782447e-06, + "loss": 0.5902, + "step": 2055 + }, + { + "epoch": 1.006858542559706, + "grad_norm": 0.36283349990844727, + "learning_rate": 3.807885990963448e-06, + "loss": 0.6417, + "step": 2056 + }, + { + "epoch": 1.0073484384568279, + "grad_norm": 0.363558292388916, + "learning_rate": 3.8067744963133555e-06, + "loss": 0.6408, + "step": 2057 + }, + { + "epoch": 1.0078383343539499, + "grad_norm": 0.37870892882347107, + "learning_rate": 3.8056626461345665e-06, + "loss": 0.6111, + "step": 2058 + }, + { + "epoch": 1.0083282302510717, + "grad_norm": 0.3512195646762848, + "learning_rate": 3.8045504407295785e-06, + "loss": 0.6237, + "step": 2059 + }, + { + "epoch": 1.0088181261481934, + "grad_norm": 0.3760397732257843, + "learning_rate": 3.803437880400986e-06, + "loss": 0.6241, + "step": 2060 + }, + { + "epoch": 1.0093080220453154, + "grad_norm": 0.37259799242019653, + "learning_rate": 3.802324965451476e-06, + "loss": 0.5795, + "step": 2061 + }, + { + "epoch": 1.0097979179424372, + "grad_norm": 0.3411462604999542, + "learning_rate": 3.801211696183837e-06, + "loss": 0.5953, + "step": 2062 + }, + { + "epoch": 1.010287813839559, + "grad_norm": 0.353613942861557, + "learning_rate": 3.8000980729009496e-06, + "loss": 0.5612, + "step": 2063 + }, + { + "epoch": 1.010777709736681, + "grad_norm": 0.3559737801551819, + "learning_rate": 3.7989840959057937e-06, + "loss": 0.6151, + "step": 2064 + }, + { + "epoch": 1.0112676056338028, + "grad_norm": 0.36175239086151123, + "learning_rate": 3.797869765501445e-06, + "loss": 0.609, + "step": 2065 + }, + { + "epoch": 1.0117575015309246, + "grad_norm": 0.3632608652114868, + "learning_rate": 3.7967550819910737e-06, + "loss": 0.5986, + "step": 2066 + }, + { + "epoch": 1.0122473974280466, + "grad_norm": 0.3595733642578125, + "learning_rate": 3.7956400456779474e-06, + "loss": 0.6253, + "step": 2067 + }, + { + "epoch": 1.0127372933251684, + "grad_norm": 0.3562808334827423, + "learning_rate": 3.7945246568654283e-06, + "loss": 0.6032, + "step": 2068 + }, + { + "epoch": 1.0132271892222902, + "grad_norm": 0.3632659316062927, + "learning_rate": 3.7934089158569778e-06, + "loss": 0.5995, + "step": 2069 + }, + { + "epoch": 1.0137170851194122, + "grad_norm": 0.36533185839653015, + "learning_rate": 3.7922928229561495e-06, + "loss": 0.6296, + "step": 2070 + }, + { + "epoch": 1.014206981016534, + "grad_norm": 0.37964925169944763, + "learning_rate": 3.7911763784665943e-06, + "loss": 0.63, + "step": 2071 + }, + { + "epoch": 1.014696876913656, + "grad_norm": 0.381578654050827, + "learning_rate": 3.790059582692058e-06, + "loss": 0.617, + "step": 2072 + }, + { + "epoch": 1.0151867728107777, + "grad_norm": 0.3671705424785614, + "learning_rate": 3.7889424359363845e-06, + "loss": 0.6258, + "step": 2073 + }, + { + "epoch": 1.0156766687078995, + "grad_norm": 0.3784239888191223, + "learning_rate": 3.7878249385035094e-06, + "loss": 0.6378, + "step": 2074 + }, + { + "epoch": 1.0161665646050215, + "grad_norm": 0.3472031056880951, + "learning_rate": 3.7867070906974666e-06, + "loss": 0.6292, + "step": 2075 + }, + { + "epoch": 1.0166564605021433, + "grad_norm": 0.35930654406547546, + "learning_rate": 3.785588892822383e-06, + "loss": 0.6016, + "step": 2076 + }, + { + "epoch": 1.017146356399265, + "grad_norm": 0.36774829030036926, + "learning_rate": 3.7844703451824838e-06, + "loss": 0.5965, + "step": 2077 + }, + { + "epoch": 1.017636252296387, + "grad_norm": 0.35045138001441956, + "learning_rate": 3.7833514480820865e-06, + "loss": 0.6295, + "step": 2078 + }, + { + "epoch": 1.0181261481935089, + "grad_norm": 0.3572307825088501, + "learning_rate": 3.7822322018256053e-06, + "loss": 0.616, + "step": 2079 + }, + { + "epoch": 1.0186160440906307, + "grad_norm": 0.3587628901004791, + "learning_rate": 3.7811126067175486e-06, + "loss": 0.5955, + "step": 2080 + }, + { + "epoch": 1.0191059399877527, + "grad_norm": 0.3570307791233063, + "learning_rate": 3.77999266306252e-06, + "loss": 0.6134, + "step": 2081 + }, + { + "epoch": 1.0195958358848745, + "grad_norm": 0.371652752161026, + "learning_rate": 3.778872371165217e-06, + "loss": 0.6006, + "step": 2082 + }, + { + "epoch": 1.0200857317819962, + "grad_norm": 0.35919180512428284, + "learning_rate": 3.7777517313304347e-06, + "loss": 0.6227, + "step": 2083 + }, + { + "epoch": 1.0205756276791182, + "grad_norm": 0.3683004081249237, + "learning_rate": 3.776630743863059e-06, + "loss": 0.6057, + "step": 2084 + }, + { + "epoch": 1.02106552357624, + "grad_norm": 0.35871168971061707, + "learning_rate": 3.7755094090680737e-06, + "loss": 0.6073, + "step": 2085 + }, + { + "epoch": 1.0215554194733618, + "grad_norm": 0.36735525727272034, + "learning_rate": 3.774387727250555e-06, + "loss": 0.623, + "step": 2086 + }, + { + "epoch": 1.0220453153704838, + "grad_norm": 0.3544144630432129, + "learning_rate": 3.7732656987156745e-06, + "loss": 0.5923, + "step": 2087 + }, + { + "epoch": 1.0225352112676056, + "grad_norm": 0.369608998298645, + "learning_rate": 3.7721433237686976e-06, + "loss": 0.6091, + "step": 2088 + }, + { + "epoch": 1.0230251071647274, + "grad_norm": 0.3617960512638092, + "learning_rate": 3.7710206027149843e-06, + "loss": 0.6204, + "step": 2089 + }, + { + "epoch": 1.0235150030618494, + "grad_norm": 0.37180766463279724, + "learning_rate": 3.7698975358599876e-06, + "loss": 0.6155, + "step": 2090 + }, + { + "epoch": 1.0240048989589712, + "grad_norm": 0.3480638861656189, + "learning_rate": 3.768774123509258e-06, + "loss": 0.6274, + "step": 2091 + }, + { + "epoch": 1.0244947948560932, + "grad_norm": 0.3564770519733429, + "learning_rate": 3.767650365968435e-06, + "loss": 0.6095, + "step": 2092 + }, + { + "epoch": 1.024984690753215, + "grad_norm": 0.37577447295188904, + "learning_rate": 3.7665262635432564e-06, + "loss": 0.5957, + "step": 2093 + }, + { + "epoch": 1.0254745866503368, + "grad_norm": 0.37107887864112854, + "learning_rate": 3.765401816539552e-06, + "loss": 0.6146, + "step": 2094 + }, + { + "epoch": 1.0259644825474588, + "grad_norm": 0.3543723523616791, + "learning_rate": 3.7642770252632444e-06, + "loss": 0.6288, + "step": 2095 + }, + { + "epoch": 1.0264543784445805, + "grad_norm": 0.38126927614212036, + "learning_rate": 3.7631518900203517e-06, + "loss": 0.6236, + "step": 2096 + }, + { + "epoch": 1.0269442743417023, + "grad_norm": 0.3606318533420563, + "learning_rate": 3.7620264111169845e-06, + "loss": 0.6044, + "step": 2097 + }, + { + "epoch": 1.0274341702388243, + "grad_norm": 0.36386165022850037, + "learning_rate": 3.7609005888593466e-06, + "loss": 0.6214, + "step": 2098 + }, + { + "epoch": 1.0279240661359461, + "grad_norm": 0.36373335123062134, + "learning_rate": 3.759774423553737e-06, + "loss": 0.5961, + "step": 2099 + }, + { + "epoch": 1.028413962033068, + "grad_norm": 0.35019516944885254, + "learning_rate": 3.7586479155065458e-06, + "loss": 0.5918, + "step": 2100 + }, + { + "epoch": 1.02890385793019, + "grad_norm": 0.3837131857872009, + "learning_rate": 3.757521065024257e-06, + "loss": 0.6044, + "step": 2101 + }, + { + "epoch": 1.0293937538273117, + "grad_norm": 0.36410900950431824, + "learning_rate": 3.75639387241345e-06, + "loss": 0.5811, + "step": 2102 + }, + { + "epoch": 1.0298836497244335, + "grad_norm": 0.37673771381378174, + "learning_rate": 3.755266337980793e-06, + "loss": 0.6183, + "step": 2103 + }, + { + "epoch": 1.0303735456215555, + "grad_norm": 0.3720352053642273, + "learning_rate": 3.754138462033052e-06, + "loss": 0.6276, + "step": 2104 + }, + { + "epoch": 1.0308634415186773, + "grad_norm": 0.39857250452041626, + "learning_rate": 3.7530102448770812e-06, + "loss": 0.6227, + "step": 2105 + }, + { + "epoch": 1.031353337415799, + "grad_norm": 0.3616951107978821, + "learning_rate": 3.7518816868198316e-06, + "loss": 0.6343, + "step": 2106 + }, + { + "epoch": 1.031843233312921, + "grad_norm": 0.3568483591079712, + "learning_rate": 3.750752788168345e-06, + "loss": 0.6113, + "step": 2107 + }, + { + "epoch": 1.0323331292100428, + "grad_norm": 0.3608867824077606, + "learning_rate": 3.7496235492297554e-06, + "loss": 0.5959, + "step": 2108 + }, + { + "epoch": 1.0328230251071648, + "grad_norm": 0.36264732480049133, + "learning_rate": 3.748493970311291e-06, + "loss": 0.6283, + "step": 2109 + }, + { + "epoch": 1.0333129210042866, + "grad_norm": 0.38085466623306274, + "learning_rate": 3.7473640517202707e-06, + "loss": 0.6111, + "step": 2110 + }, + { + "epoch": 1.0338028169014084, + "grad_norm": 0.3716256022453308, + "learning_rate": 3.746233793764107e-06, + "loss": 0.6106, + "step": 2111 + }, + { + "epoch": 1.0342927127985304, + "grad_norm": 0.3789142072200775, + "learning_rate": 3.745103196750306e-06, + "loss": 0.6064, + "step": 2112 + }, + { + "epoch": 1.0347826086956522, + "grad_norm": 0.36241525411605835, + "learning_rate": 3.743972260986462e-06, + "loss": 0.6136, + "step": 2113 + }, + { + "epoch": 1.035272504592774, + "grad_norm": 0.3514231741428375, + "learning_rate": 3.742840986780266e-06, + "loss": 0.6125, + "step": 2114 + }, + { + "epoch": 1.035762400489896, + "grad_norm": 0.3562118709087372, + "learning_rate": 3.7417093744394983e-06, + "loss": 0.6012, + "step": 2115 + }, + { + "epoch": 1.0362522963870178, + "grad_norm": 0.36194613575935364, + "learning_rate": 3.7405774242720323e-06, + "loss": 0.6078, + "step": 2116 + }, + { + "epoch": 1.0367421922841396, + "grad_norm": 0.3722241222858429, + "learning_rate": 3.739445136585832e-06, + "loss": 0.6293, + "step": 2117 + }, + { + "epoch": 1.0372320881812616, + "grad_norm": 0.36227795481681824, + "learning_rate": 3.738312511688955e-06, + "loss": 0.6032, + "step": 2118 + }, + { + "epoch": 1.0377219840783833, + "grad_norm": 0.34213346242904663, + "learning_rate": 3.7371795498895496e-06, + "loss": 0.6082, + "step": 2119 + }, + { + "epoch": 1.0382118799755051, + "grad_norm": 0.35858309268951416, + "learning_rate": 3.736046251495857e-06, + "loss": 0.6135, + "step": 2120 + }, + { + "epoch": 1.0387017758726271, + "grad_norm": 0.37163859605789185, + "learning_rate": 3.734912616816207e-06, + "loss": 0.6106, + "step": 2121 + }, + { + "epoch": 1.039191671769749, + "grad_norm": 0.35800930857658386, + "learning_rate": 3.733778646159024e-06, + "loss": 0.6, + "step": 2122 + }, + { + "epoch": 1.0396815676668707, + "grad_norm": 0.3649452328681946, + "learning_rate": 3.732644339832823e-06, + "loss": 0.6463, + "step": 2123 + }, + { + "epoch": 1.0401714635639927, + "grad_norm": 0.3518073856830597, + "learning_rate": 3.7315096981462097e-06, + "loss": 0.6349, + "step": 2124 + }, + { + "epoch": 1.0406613594611145, + "grad_norm": 0.3746693432331085, + "learning_rate": 3.730374721407881e-06, + "loss": 0.6297, + "step": 2125 + }, + { + "epoch": 1.0411512553582363, + "grad_norm": 0.36575454473495483, + "learning_rate": 3.729239409926626e-06, + "loss": 0.6366, + "step": 2126 + }, + { + "epoch": 1.0416411512553583, + "grad_norm": 0.3633638024330139, + "learning_rate": 3.7281037640113227e-06, + "loss": 0.6388, + "step": 2127 + }, + { + "epoch": 1.04213104715248, + "grad_norm": 0.37288302183151245, + "learning_rate": 3.726967783970944e-06, + "loss": 0.6302, + "step": 2128 + }, + { + "epoch": 1.042620943049602, + "grad_norm": 0.35776814818382263, + "learning_rate": 3.725831470114548e-06, + "loss": 0.618, + "step": 2129 + }, + { + "epoch": 1.0431108389467239, + "grad_norm": 0.37245604395866394, + "learning_rate": 3.7246948227512904e-06, + "loss": 0.6343, + "step": 2130 + }, + { + "epoch": 1.0436007348438456, + "grad_norm": 0.36582523584365845, + "learning_rate": 3.7235578421904117e-06, + "loss": 0.5903, + "step": 2131 + }, + { + "epoch": 1.0440906307409676, + "grad_norm": 0.36683371663093567, + "learning_rate": 3.7224205287412462e-06, + "loss": 0.6127, + "step": 2132 + }, + { + "epoch": 1.0445805266380894, + "grad_norm": 0.359762966632843, + "learning_rate": 3.721282882713218e-06, + "loss": 0.608, + "step": 2133 + }, + { + "epoch": 1.0450704225352112, + "grad_norm": 0.36687856912612915, + "learning_rate": 3.7201449044158415e-06, + "loss": 0.6143, + "step": 2134 + }, + { + "epoch": 1.0455603184323332, + "grad_norm": 0.371162474155426, + "learning_rate": 3.7190065941587224e-06, + "loss": 0.6074, + "step": 2135 + }, + { + "epoch": 1.046050214329455, + "grad_norm": 0.3926391899585724, + "learning_rate": 3.717867952251556e-06, + "loss": 0.64, + "step": 2136 + }, + { + "epoch": 1.0465401102265768, + "grad_norm": 0.3637010455131531, + "learning_rate": 3.716728979004126e-06, + "loss": 0.6057, + "step": 2137 + }, + { + "epoch": 1.0470300061236988, + "grad_norm": 0.35207727551460266, + "learning_rate": 3.7155896747263105e-06, + "loss": 0.5989, + "step": 2138 + }, + { + "epoch": 1.0475199020208206, + "grad_norm": 0.3689444959163666, + "learning_rate": 3.7144500397280743e-06, + "loss": 0.6207, + "step": 2139 + }, + { + "epoch": 1.0480097979179424, + "grad_norm": 0.3575247824192047, + "learning_rate": 3.7133100743194733e-06, + "loss": 0.6431, + "step": 2140 + }, + { + "epoch": 1.0484996938150644, + "grad_norm": 0.369592547416687, + "learning_rate": 3.7121697788106525e-06, + "loss": 0.6315, + "step": 2141 + }, + { + "epoch": 1.0489895897121861, + "grad_norm": 0.39101123809814453, + "learning_rate": 3.711029153511848e-06, + "loss": 0.629, + "step": 2142 + }, + { + "epoch": 1.049479485609308, + "grad_norm": 0.531679630279541, + "learning_rate": 3.7098881987333853e-06, + "loss": 0.6449, + "step": 2143 + }, + { + "epoch": 1.04996938150643, + "grad_norm": 0.36580806970596313, + "learning_rate": 3.7087469147856784e-06, + "loss": 0.5958, + "step": 2144 + }, + { + "epoch": 1.0504592774035517, + "grad_norm": 0.3666715919971466, + "learning_rate": 3.707605301979232e-06, + "loss": 0.633, + "step": 2145 + }, + { + "epoch": 1.0509491733006735, + "grad_norm": 0.3637746572494507, + "learning_rate": 3.7064633606246403e-06, + "loss": 0.6099, + "step": 2146 + }, + { + "epoch": 1.0514390691977955, + "grad_norm": 0.3598858416080475, + "learning_rate": 3.7053210910325852e-06, + "loss": 0.5942, + "step": 2147 + }, + { + "epoch": 1.0519289650949173, + "grad_norm": 0.35465115308761597, + "learning_rate": 3.7041784935138414e-06, + "loss": 0.586, + "step": 2148 + }, + { + "epoch": 1.0524188609920393, + "grad_norm": 0.37120938301086426, + "learning_rate": 3.7030355683792694e-06, + "loss": 0.6216, + "step": 2149 + }, + { + "epoch": 1.052908756889161, + "grad_norm": 0.3678767681121826, + "learning_rate": 3.7018923159398197e-06, + "loss": 0.6166, + "step": 2150 + }, + { + "epoch": 1.0533986527862829, + "grad_norm": 0.36580461263656616, + "learning_rate": 3.7007487365065327e-06, + "loss": 0.6085, + "step": 2151 + }, + { + "epoch": 1.0538885486834049, + "grad_norm": 0.35031387209892273, + "learning_rate": 3.6996048303905373e-06, + "loss": 0.6138, + "step": 2152 + }, + { + "epoch": 1.0543784445805267, + "grad_norm": 0.3648207187652588, + "learning_rate": 3.6984605979030514e-06, + "loss": 0.6106, + "step": 2153 + }, + { + "epoch": 1.0548683404776484, + "grad_norm": 0.37831538915634155, + "learning_rate": 3.697316039355382e-06, + "loss": 0.6155, + "step": 2154 + }, + { + "epoch": 1.0553582363747704, + "grad_norm": 0.3695274293422699, + "learning_rate": 3.6961711550589225e-06, + "loss": 0.6248, + "step": 2155 + }, + { + "epoch": 1.0558481322718922, + "grad_norm": 0.3716513216495514, + "learning_rate": 3.6950259453251588e-06, + "loss": 0.6277, + "step": 2156 + }, + { + "epoch": 1.056338028169014, + "grad_norm": 0.3695274591445923, + "learning_rate": 3.693880410465662e-06, + "loss": 0.5961, + "step": 2157 + }, + { + "epoch": 1.056827924066136, + "grad_norm": 0.3641992509365082, + "learning_rate": 3.692734550792095e-06, + "loss": 0.5837, + "step": 2158 + }, + { + "epoch": 1.0573178199632578, + "grad_norm": 0.3627093434333801, + "learning_rate": 3.691588366616205e-06, + "loss": 0.5802, + "step": 2159 + }, + { + "epoch": 1.0578077158603796, + "grad_norm": 0.36302122473716736, + "learning_rate": 3.69044185824983e-06, + "loss": 0.6252, + "step": 2160 + }, + { + "epoch": 1.0582976117575016, + "grad_norm": 0.3806382119655609, + "learning_rate": 3.689295026004896e-06, + "loss": 0.6109, + "step": 2161 + }, + { + "epoch": 1.0587875076546234, + "grad_norm": 0.35560694336891174, + "learning_rate": 3.6881478701934175e-06, + "loss": 0.5839, + "step": 2162 + }, + { + "epoch": 1.0592774035517452, + "grad_norm": 0.37304025888442993, + "learning_rate": 3.6870003911274952e-06, + "loss": 0.5945, + "step": 2163 + }, + { + "epoch": 1.0597672994488672, + "grad_norm": 0.35711508989334106, + "learning_rate": 3.68585258911932e-06, + "loss": 0.6021, + "step": 2164 + }, + { + "epoch": 1.060257195345989, + "grad_norm": 0.38827821612358093, + "learning_rate": 3.684704464481169e-06, + "loss": 0.6201, + "step": 2165 + }, + { + "epoch": 1.060747091243111, + "grad_norm": 0.3666738271713257, + "learning_rate": 3.683556017525408e-06, + "loss": 0.6027, + "step": 2166 + }, + { + "epoch": 1.0612369871402327, + "grad_norm": 0.35715430974960327, + "learning_rate": 3.6824072485644896e-06, + "loss": 0.6187, + "step": 2167 + }, + { + "epoch": 1.0617268830373545, + "grad_norm": 0.36522170901298523, + "learning_rate": 3.681258157910956e-06, + "loss": 0.6164, + "step": 2168 + }, + { + "epoch": 1.0622167789344765, + "grad_norm": 0.3614034950733185, + "learning_rate": 3.6801087458774334e-06, + "loss": 0.6044, + "step": 2169 + }, + { + "epoch": 1.0627066748315983, + "grad_norm": 0.36353325843811035, + "learning_rate": 3.6789590127766397e-06, + "loss": 0.6103, + "step": 2170 + }, + { + "epoch": 1.06319657072872, + "grad_norm": 0.36362984776496887, + "learning_rate": 3.6778089589213756e-06, + "loss": 0.6345, + "step": 2171 + }, + { + "epoch": 1.063686466625842, + "grad_norm": 0.3649977147579193, + "learning_rate": 3.676658584624534e-06, + "loss": 0.6087, + "step": 2172 + }, + { + "epoch": 1.0641763625229639, + "grad_norm": 0.3708246946334839, + "learning_rate": 3.675507890199091e-06, + "loss": 0.6064, + "step": 2173 + }, + { + "epoch": 1.0646662584200857, + "grad_norm": 0.3809296786785126, + "learning_rate": 3.674356875958111e-06, + "loss": 0.6109, + "step": 2174 + }, + { + "epoch": 1.0651561543172077, + "grad_norm": 0.3635983169078827, + "learning_rate": 3.673205542214747e-06, + "loss": 0.6263, + "step": 2175 + }, + { + "epoch": 1.0656460502143295, + "grad_norm": 0.3441465198993683, + "learning_rate": 3.672053889282236e-06, + "loss": 0.6094, + "step": 2176 + }, + { + "epoch": 1.0661359461114512, + "grad_norm": 0.36060529947280884, + "learning_rate": 3.6709019174739047e-06, + "loss": 0.6258, + "step": 2177 + }, + { + "epoch": 1.0666258420085732, + "grad_norm": 0.3787026107311249, + "learning_rate": 3.6697496271031647e-06, + "loss": 0.6065, + "step": 2178 + }, + { + "epoch": 1.067115737905695, + "grad_norm": 0.3517509996891022, + "learning_rate": 3.668597018483515e-06, + "loss": 0.612, + "step": 2179 + }, + { + "epoch": 1.0676056338028168, + "grad_norm": 0.4110904335975647, + "learning_rate": 3.66744409192854e-06, + "loss": 0.6185, + "step": 2180 + }, + { + "epoch": 1.0680955296999388, + "grad_norm": 0.37096044421195984, + "learning_rate": 3.666290847751914e-06, + "loss": 0.623, + "step": 2181 + }, + { + "epoch": 1.0685854255970606, + "grad_norm": 0.35743921995162964, + "learning_rate": 3.665137286267393e-06, + "loss": 0.6274, + "step": 2182 + }, + { + "epoch": 1.0690753214941824, + "grad_norm": 0.3622436821460724, + "learning_rate": 3.6639834077888228e-06, + "loss": 0.6196, + "step": 2183 + }, + { + "epoch": 1.0695652173913044, + "grad_norm": 0.36621788144111633, + "learning_rate": 3.6628292126301336e-06, + "loss": 0.6157, + "step": 2184 + }, + { + "epoch": 1.0700551132884262, + "grad_norm": 0.36889806389808655, + "learning_rate": 3.6616747011053434e-06, + "loss": 0.6158, + "step": 2185 + }, + { + "epoch": 1.070545009185548, + "grad_norm": 0.39745423197746277, + "learning_rate": 3.660519873528555e-06, + "loss": 0.6054, + "step": 2186 + }, + { + "epoch": 1.07103490508267, + "grad_norm": 0.3748469352722168, + "learning_rate": 3.659364730213957e-06, + "loss": 0.6176, + "step": 2187 + }, + { + "epoch": 1.0715248009797917, + "grad_norm": 0.37206313014030457, + "learning_rate": 3.6582092714758244e-06, + "loss": 0.6037, + "step": 2188 + }, + { + "epoch": 1.0720146968769138, + "grad_norm": 0.36769533157348633, + "learning_rate": 3.65705349762852e-06, + "loss": 0.5916, + "step": 2189 + }, + { + "epoch": 1.0725045927740355, + "grad_norm": 0.35023733973503113, + "learning_rate": 3.6558974089864875e-06, + "loss": 0.6231, + "step": 2190 + }, + { + "epoch": 1.0729944886711573, + "grad_norm": 0.36391445994377136, + "learning_rate": 3.6547410058642607e-06, + "loss": 0.6432, + "step": 2191 + }, + { + "epoch": 1.0734843845682793, + "grad_norm": 0.3642194867134094, + "learning_rate": 3.6535842885764574e-06, + "loss": 0.6198, + "step": 2192 + }, + { + "epoch": 1.073974280465401, + "grad_norm": 0.371138334274292, + "learning_rate": 3.6524272574377806e-06, + "loss": 0.6293, + "step": 2193 + }, + { + "epoch": 1.074464176362523, + "grad_norm": 0.34584951400756836, + "learning_rate": 3.651269912763019e-06, + "loss": 0.5993, + "step": 2194 + }, + { + "epoch": 1.074954072259645, + "grad_norm": 0.36272382736206055, + "learning_rate": 3.6501122548670464e-06, + "loss": 0.625, + "step": 2195 + }, + { + "epoch": 1.0754439681567667, + "grad_norm": 0.3636181950569153, + "learning_rate": 3.6489542840648225e-06, + "loss": 0.6017, + "step": 2196 + }, + { + "epoch": 1.0759338640538885, + "grad_norm": 0.35358887910842896, + "learning_rate": 3.647796000671391e-06, + "loss": 0.5844, + "step": 2197 + }, + { + "epoch": 1.0764237599510105, + "grad_norm": 0.3420582711696625, + "learning_rate": 3.6466374050018804e-06, + "loss": 0.5842, + "step": 2198 + }, + { + "epoch": 1.0769136558481323, + "grad_norm": 0.37482982873916626, + "learning_rate": 3.6454784973715073e-06, + "loss": 0.6309, + "step": 2199 + }, + { + "epoch": 1.077403551745254, + "grad_norm": 0.3911072313785553, + "learning_rate": 3.644319278095569e-06, + "loss": 0.6092, + "step": 2200 + }, + { + "epoch": 1.077893447642376, + "grad_norm": 0.37754178047180176, + "learning_rate": 3.64315974748945e-06, + "loss": 0.6119, + "step": 2201 + }, + { + "epoch": 1.0783833435394978, + "grad_norm": 0.38678061962127686, + "learning_rate": 3.6419999058686196e-06, + "loss": 0.6246, + "step": 2202 + }, + { + "epoch": 1.0788732394366196, + "grad_norm": 0.3678695261478424, + "learning_rate": 3.6408397535486296e-06, + "loss": 0.6001, + "step": 2203 + }, + { + "epoch": 1.0793631353337416, + "grad_norm": 0.38604599237442017, + "learning_rate": 3.6396792908451196e-06, + "loss": 0.6219, + "step": 2204 + }, + { + "epoch": 1.0798530312308634, + "grad_norm": 0.38484376668930054, + "learning_rate": 3.6385185180738105e-06, + "loss": 0.5997, + "step": 2205 + }, + { + "epoch": 1.0803429271279854, + "grad_norm": 0.3842492997646332, + "learning_rate": 3.6373574355505087e-06, + "loss": 0.6091, + "step": 2206 + }, + { + "epoch": 1.0808328230251072, + "grad_norm": 0.368572860956192, + "learning_rate": 3.636196043591107e-06, + "loss": 0.6088, + "step": 2207 + }, + { + "epoch": 1.081322718922229, + "grad_norm": 0.3764033615589142, + "learning_rate": 3.635034342511578e-06, + "loss": 0.6098, + "step": 2208 + }, + { + "epoch": 1.081812614819351, + "grad_norm": 0.3731118142604828, + "learning_rate": 3.633872332627983e-06, + "loss": 0.6054, + "step": 2209 + }, + { + "epoch": 1.0823025107164728, + "grad_norm": 0.3712488114833832, + "learning_rate": 3.6327100142564634e-06, + "loss": 0.6004, + "step": 2210 + }, + { + "epoch": 1.0827924066135945, + "grad_norm": 0.37595003843307495, + "learning_rate": 3.6315473877132483e-06, + "loss": 0.6159, + "step": 2211 + }, + { + "epoch": 1.0832823025107166, + "grad_norm": 0.37577226758003235, + "learning_rate": 3.630384453314647e-06, + "loss": 0.6321, + "step": 2212 + }, + { + "epoch": 1.0837721984078383, + "grad_norm": 0.3615560829639435, + "learning_rate": 3.6292212113770553e-06, + "loss": 0.5858, + "step": 2213 + }, + { + "epoch": 1.0842620943049601, + "grad_norm": 0.3546689450740814, + "learning_rate": 3.62805766221695e-06, + "loss": 0.6278, + "step": 2214 + }, + { + "epoch": 1.0847519902020821, + "grad_norm": 0.3646925985813141, + "learning_rate": 3.6268938061508952e-06, + "loss": 0.6226, + "step": 2215 + }, + { + "epoch": 1.085241886099204, + "grad_norm": 0.37122589349746704, + "learning_rate": 3.6257296434955345e-06, + "loss": 0.5977, + "step": 2216 + }, + { + "epoch": 1.0857317819963257, + "grad_norm": 0.35184022784233093, + "learning_rate": 3.624565174567598e-06, + "loss": 0.6058, + "step": 2217 + }, + { + "epoch": 1.0862216778934477, + "grad_norm": 0.36487919092178345, + "learning_rate": 3.623400399683898e-06, + "loss": 0.6477, + "step": 2218 + }, + { + "epoch": 1.0867115737905695, + "grad_norm": 0.35364431142807007, + "learning_rate": 3.622235319161329e-06, + "loss": 0.6008, + "step": 2219 + }, + { + "epoch": 1.0872014696876913, + "grad_norm": 0.3588685095310211, + "learning_rate": 3.6210699333168696e-06, + "loss": 0.5913, + "step": 2220 + }, + { + "epoch": 1.0876913655848133, + "grad_norm": 0.3726722300052643, + "learning_rate": 3.6199042424675827e-06, + "loss": 0.6076, + "step": 2221 + }, + { + "epoch": 1.088181261481935, + "grad_norm": 0.3756583034992218, + "learning_rate": 3.618738246930612e-06, + "loss": 0.6136, + "step": 2222 + }, + { + "epoch": 1.088671157379057, + "grad_norm": 0.3865886330604553, + "learning_rate": 3.6175719470231857e-06, + "loss": 0.6073, + "step": 2223 + }, + { + "epoch": 1.0891610532761788, + "grad_norm": 0.3719536066055298, + "learning_rate": 3.616405343062613e-06, + "loss": 0.6345, + "step": 2224 + }, + { + "epoch": 1.0896509491733006, + "grad_norm": 0.3820420801639557, + "learning_rate": 3.615238435366288e-06, + "loss": 0.6219, + "step": 2225 + }, + { + "epoch": 1.0901408450704226, + "grad_norm": 0.3640765845775604, + "learning_rate": 3.614071224251686e-06, + "loss": 0.629, + "step": 2226 + }, + { + "epoch": 1.0906307409675444, + "grad_norm": 0.3779900074005127, + "learning_rate": 3.6129037100363655e-06, + "loss": 0.6112, + "step": 2227 + }, + { + "epoch": 1.0911206368646662, + "grad_norm": 0.37516602873802185, + "learning_rate": 3.611735893037967e-06, + "loss": 0.5991, + "step": 2228 + }, + { + "epoch": 1.0916105327617882, + "grad_norm": 0.375545471906662, + "learning_rate": 3.610567773574214e-06, + "loss": 0.5918, + "step": 2229 + }, + { + "epoch": 1.09210042865891, + "grad_norm": 0.3738333582878113, + "learning_rate": 3.6093993519629113e-06, + "loss": 0.641, + "step": 2230 + }, + { + "epoch": 1.0925903245560318, + "grad_norm": 0.3410876393318176, + "learning_rate": 3.608230628521947e-06, + "loss": 0.5827, + "step": 2231 + }, + { + "epoch": 1.0930802204531538, + "grad_norm": 0.3686733841896057, + "learning_rate": 3.6070616035692903e-06, + "loss": 0.6055, + "step": 2232 + }, + { + "epoch": 1.0935701163502756, + "grad_norm": 0.3856316804885864, + "learning_rate": 3.605892277422994e-06, + "loss": 0.5973, + "step": 2233 + }, + { + "epoch": 1.0940600122473974, + "grad_norm": 0.3632620871067047, + "learning_rate": 3.6047226504011906e-06, + "loss": 0.6082, + "step": 2234 + }, + { + "epoch": 1.0945499081445194, + "grad_norm": 0.3849581182003021, + "learning_rate": 3.6035527228220962e-06, + "loss": 0.61, + "step": 2235 + }, + { + "epoch": 1.0950398040416411, + "grad_norm": 0.3724418878555298, + "learning_rate": 3.6023824950040083e-06, + "loss": 0.5911, + "step": 2236 + }, + { + "epoch": 1.095529699938763, + "grad_norm": 0.369624525308609, + "learning_rate": 3.6012119672653058e-06, + "loss": 0.6338, + "step": 2237 + }, + { + "epoch": 1.096019595835885, + "grad_norm": 0.37357398867607117, + "learning_rate": 3.6000411399244485e-06, + "loss": 0.6022, + "step": 2238 + }, + { + "epoch": 1.0965094917330067, + "grad_norm": 0.3809099495410919, + "learning_rate": 3.59887001329998e-06, + "loss": 0.5997, + "step": 2239 + }, + { + "epoch": 1.0969993876301285, + "grad_norm": 0.369210809469223, + "learning_rate": 3.597698587710522e-06, + "loss": 0.63, + "step": 2240 + }, + { + "epoch": 1.0974892835272505, + "grad_norm": 0.3609824478626251, + "learning_rate": 3.5965268634747814e-06, + "loss": 0.6219, + "step": 2241 + }, + { + "epoch": 1.0979791794243723, + "grad_norm": 0.40301835536956787, + "learning_rate": 3.595354840911543e-06, + "loss": 0.6171, + "step": 2242 + }, + { + "epoch": 1.098469075321494, + "grad_norm": 0.3730369806289673, + "learning_rate": 3.594182520339674e-06, + "loss": 0.6059, + "step": 2243 + }, + { + "epoch": 1.098958971218616, + "grad_norm": 0.3683606684207916, + "learning_rate": 3.593009902078124e-06, + "loss": 0.622, + "step": 2244 + }, + { + "epoch": 1.0994488671157379, + "grad_norm": 0.3820549249649048, + "learning_rate": 3.591836986445921e-06, + "loss": 0.6153, + "step": 2245 + }, + { + "epoch": 1.0999387630128599, + "grad_norm": 0.3756527304649353, + "learning_rate": 3.5906637737621763e-06, + "loss": 0.5855, + "step": 2246 + }, + { + "epoch": 1.1004286589099816, + "grad_norm": 0.3744540512561798, + "learning_rate": 3.5894902643460807e-06, + "loss": 0.6034, + "step": 2247 + }, + { + "epoch": 1.1009185548071034, + "grad_norm": 0.35894593596458435, + "learning_rate": 3.5883164585169055e-06, + "loss": 0.6246, + "step": 2248 + }, + { + "epoch": 1.1014084507042254, + "grad_norm": 0.3619309961795807, + "learning_rate": 3.5871423565940037e-06, + "loss": 0.6018, + "step": 2249 + }, + { + "epoch": 1.1018983466013472, + "grad_norm": 0.3466385304927826, + "learning_rate": 3.585967958896808e-06, + "loss": 0.6062, + "step": 2250 + }, + { + "epoch": 1.102388242498469, + "grad_norm": 0.3656299412250519, + "learning_rate": 3.584793265744832e-06, + "loss": 0.6255, + "step": 2251 + }, + { + "epoch": 1.102878138395591, + "grad_norm": 0.36475077271461487, + "learning_rate": 3.5836182774576705e-06, + "loss": 0.6112, + "step": 2252 + }, + { + "epoch": 1.1033680342927128, + "grad_norm": 0.3726470172405243, + "learning_rate": 3.5824429943549954e-06, + "loss": 0.6045, + "step": 2253 + }, + { + "epoch": 1.1038579301898346, + "grad_norm": 0.3646067976951599, + "learning_rate": 3.5812674167565638e-06, + "loss": 0.5976, + "step": 2254 + }, + { + "epoch": 1.1043478260869566, + "grad_norm": 0.3727915287017822, + "learning_rate": 3.580091544982208e-06, + "loss": 0.6399, + "step": 2255 + }, + { + "epoch": 1.1048377219840784, + "grad_norm": 0.3869090974330902, + "learning_rate": 3.5789153793518437e-06, + "loss": 0.6274, + "step": 2256 + }, + { + "epoch": 1.1053276178812002, + "grad_norm": 0.374301552772522, + "learning_rate": 3.5777389201854653e-06, + "loss": 0.6103, + "step": 2257 + }, + { + "epoch": 1.1058175137783222, + "grad_norm": 0.3797692060470581, + "learning_rate": 3.576562167803147e-06, + "loss": 0.6059, + "step": 2258 + }, + { + "epoch": 1.106307409675444, + "grad_norm": 0.3639901876449585, + "learning_rate": 3.5753851225250424e-06, + "loss": 0.6245, + "step": 2259 + }, + { + "epoch": 1.1067973055725657, + "grad_norm": 0.3744305670261383, + "learning_rate": 3.574207784671386e-06, + "loss": 0.6186, + "step": 2260 + }, + { + "epoch": 1.1072872014696877, + "grad_norm": 0.36011651158332825, + "learning_rate": 3.573030154562491e-06, + "loss": 0.6167, + "step": 2261 + }, + { + "epoch": 1.1077770973668095, + "grad_norm": 0.3678450584411621, + "learning_rate": 3.5718522325187505e-06, + "loss": 0.6, + "step": 2262 + }, + { + "epoch": 1.1082669932639315, + "grad_norm": 0.3684691786766052, + "learning_rate": 3.5706740188606367e-06, + "loss": 0.605, + "step": 2263 + }, + { + "epoch": 1.1087568891610533, + "grad_norm": 0.35826507210731506, + "learning_rate": 3.5694955139087008e-06, + "loss": 0.6178, + "step": 2264 + }, + { + "epoch": 1.109246785058175, + "grad_norm": 0.37256309390068054, + "learning_rate": 3.5683167179835744e-06, + "loss": 0.5932, + "step": 2265 + }, + { + "epoch": 1.109736680955297, + "grad_norm": 0.3737376034259796, + "learning_rate": 3.5671376314059676e-06, + "loss": 0.6123, + "step": 2266 + }, + { + "epoch": 1.1102265768524189, + "grad_norm": 0.3742244243621826, + "learning_rate": 3.5659582544966686e-06, + "loss": 0.6002, + "step": 2267 + }, + { + "epoch": 1.1107164727495407, + "grad_norm": 0.347795307636261, + "learning_rate": 3.5647785875765475e-06, + "loss": 0.6158, + "step": 2268 + }, + { + "epoch": 1.1112063686466627, + "grad_norm": 0.3765881657600403, + "learning_rate": 3.563598630966549e-06, + "loss": 0.6258, + "step": 2269 + }, + { + "epoch": 1.1116962645437845, + "grad_norm": 0.3652591109275818, + "learning_rate": 3.5624183849877007e-06, + "loss": 0.6128, + "step": 2270 + }, + { + "epoch": 1.1121861604409062, + "grad_norm": 0.36941730976104736, + "learning_rate": 3.5612378499611065e-06, + "loss": 0.6137, + "step": 2271 + }, + { + "epoch": 1.1126760563380282, + "grad_norm": 0.3687325716018677, + "learning_rate": 3.56005702620795e-06, + "loss": 0.6467, + "step": 2272 + }, + { + "epoch": 1.11316595223515, + "grad_norm": 0.37130436301231384, + "learning_rate": 3.5588759140494934e-06, + "loss": 0.605, + "step": 2273 + }, + { + "epoch": 1.1136558481322718, + "grad_norm": 0.3659045100212097, + "learning_rate": 3.557694513807075e-06, + "loss": 0.6208, + "step": 2274 + }, + { + "epoch": 1.1141457440293938, + "grad_norm": 0.369142085313797, + "learning_rate": 3.5565128258021152e-06, + "loss": 0.5997, + "step": 2275 + }, + { + "epoch": 1.1146356399265156, + "grad_norm": 0.3565966486930847, + "learning_rate": 3.5553308503561117e-06, + "loss": 0.6122, + "step": 2276 + }, + { + "epoch": 1.1151255358236374, + "grad_norm": 0.38156697154045105, + "learning_rate": 3.5541485877906372e-06, + "loss": 0.6194, + "step": 2277 + }, + { + "epoch": 1.1156154317207594, + "grad_norm": 0.3658370077610016, + "learning_rate": 3.552966038427347e-06, + "loss": 0.6136, + "step": 2278 + }, + { + "epoch": 1.1161053276178812, + "grad_norm": 0.3832085430622101, + "learning_rate": 3.5517832025879716e-06, + "loss": 0.6254, + "step": 2279 + }, + { + "epoch": 1.1165952235150032, + "grad_norm": 0.36567339301109314, + "learning_rate": 3.5506000805943196e-06, + "loss": 0.6343, + "step": 2280 + }, + { + "epoch": 1.117085119412125, + "grad_norm": 0.3708057105541229, + "learning_rate": 3.5494166727682794e-06, + "loss": 0.609, + "step": 2281 + }, + { + "epoch": 1.1175750153092467, + "grad_norm": 0.37337616086006165, + "learning_rate": 3.548232979431815e-06, + "loss": 0.5932, + "step": 2282 + }, + { + "epoch": 1.1180649112063688, + "grad_norm": 0.3766319155693054, + "learning_rate": 3.547049000906969e-06, + "loss": 0.5803, + "step": 2283 + }, + { + "epoch": 1.1185548071034905, + "grad_norm": 0.3644465208053589, + "learning_rate": 3.545864737515862e-06, + "loss": 0.6171, + "step": 2284 + }, + { + "epoch": 1.1190447030006123, + "grad_norm": 0.39306357502937317, + "learning_rate": 3.5446801895806904e-06, + "loss": 0.6078, + "step": 2285 + }, + { + "epoch": 1.1195345988977343, + "grad_norm": 0.36209338903427124, + "learning_rate": 3.543495357423731e-06, + "loss": 0.6125, + "step": 2286 + }, + { + "epoch": 1.120024494794856, + "grad_norm": 0.38279199600219727, + "learning_rate": 3.5423102413673338e-06, + "loss": 0.5848, + "step": 2287 + }, + { + "epoch": 1.120514390691978, + "grad_norm": 0.37346169352531433, + "learning_rate": 3.5411248417339304e-06, + "loss": 0.6053, + "step": 2288 + }, + { + "epoch": 1.1210042865891, + "grad_norm": 0.37741225957870483, + "learning_rate": 3.5399391588460277e-06, + "loss": 0.6135, + "step": 2289 + }, + { + "epoch": 1.1214941824862217, + "grad_norm": 0.38668689131736755, + "learning_rate": 3.5387531930262083e-06, + "loss": 0.5948, + "step": 2290 + }, + { + "epoch": 1.1219840783833435, + "grad_norm": 0.37379568815231323, + "learning_rate": 3.537566944597133e-06, + "loss": 0.6303, + "step": 2291 + }, + { + "epoch": 1.1224739742804655, + "grad_norm": 0.37902164459228516, + "learning_rate": 3.53638041388154e-06, + "loss": 0.6244, + "step": 2292 + }, + { + "epoch": 1.1229638701775873, + "grad_norm": 0.3626096844673157, + "learning_rate": 3.535193601202243e-06, + "loss": 0.633, + "step": 2293 + }, + { + "epoch": 1.123453766074709, + "grad_norm": 0.37363842129707336, + "learning_rate": 3.534006506882135e-06, + "loss": 0.5782, + "step": 2294 + }, + { + "epoch": 1.123943661971831, + "grad_norm": 0.38019251823425293, + "learning_rate": 3.5328191312441817e-06, + "loss": 0.6302, + "step": 2295 + }, + { + "epoch": 1.1244335578689528, + "grad_norm": 0.3590061068534851, + "learning_rate": 3.531631474611429e-06, + "loss": 0.5969, + "step": 2296 + }, + { + "epoch": 1.1249234537660746, + "grad_norm": 0.3726557493209839, + "learning_rate": 3.530443537306997e-06, + "loss": 0.6062, + "step": 2297 + }, + { + "epoch": 1.1254133496631966, + "grad_norm": 0.3647722601890564, + "learning_rate": 3.529255319654083e-06, + "loss": 0.5983, + "step": 2298 + }, + { + "epoch": 1.1259032455603184, + "grad_norm": 0.3977896273136139, + "learning_rate": 3.5280668219759602e-06, + "loss": 0.6491, + "step": 2299 + }, + { + "epoch": 1.1263931414574402, + "grad_norm": 0.36189326643943787, + "learning_rate": 3.5268780445959783e-06, + "loss": 0.6014, + "step": 2300 + }, + { + "epoch": 1.1268830373545622, + "grad_norm": 0.38839036226272583, + "learning_rate": 3.525688987837562e-06, + "loss": 0.5893, + "step": 2301 + }, + { + "epoch": 1.127372933251684, + "grad_norm": 0.3827141523361206, + "learning_rate": 3.5244996520242157e-06, + "loss": 0.6182, + "step": 2302 + }, + { + "epoch": 1.127862829148806, + "grad_norm": 0.370771199464798, + "learning_rate": 3.523310037479515e-06, + "loss": 0.6187, + "step": 2303 + }, + { + "epoch": 1.1283527250459278, + "grad_norm": 0.3768838942050934, + "learning_rate": 3.5221201445271136e-06, + "loss": 0.6376, + "step": 2304 + }, + { + "epoch": 1.1288426209430495, + "grad_norm": 0.3812478184700012, + "learning_rate": 3.5209299734907415e-06, + "loss": 0.6109, + "step": 2305 + }, + { + "epoch": 1.1293325168401716, + "grad_norm": 0.35217106342315674, + "learning_rate": 3.519739524694202e-06, + "loss": 0.6058, + "step": 2306 + }, + { + "epoch": 1.1298224127372933, + "grad_norm": 0.363386332988739, + "learning_rate": 3.5185487984613776e-06, + "loss": 0.5829, + "step": 2307 + }, + { + "epoch": 1.1303123086344151, + "grad_norm": 0.3760561943054199, + "learning_rate": 3.5173577951162225e-06, + "loss": 0.6137, + "step": 2308 + }, + { + "epoch": 1.1308022045315371, + "grad_norm": 0.38196367025375366, + "learning_rate": 3.516166514982769e-06, + "loss": 0.6189, + "step": 2309 + }, + { + "epoch": 1.131292100428659, + "grad_norm": 0.37563586235046387, + "learning_rate": 3.5149749583851232e-06, + "loss": 0.6122, + "step": 2310 + }, + { + "epoch": 1.1317819963257807, + "grad_norm": 0.37109169363975525, + "learning_rate": 3.5137831256474676e-06, + "loss": 0.5849, + "step": 2311 + }, + { + "epoch": 1.1322718922229027, + "grad_norm": 0.3665296137332916, + "learning_rate": 3.512591017094058e-06, + "loss": 0.5967, + "step": 2312 + }, + { + "epoch": 1.1327617881200245, + "grad_norm": 0.3727186918258667, + "learning_rate": 3.511398633049228e-06, + "loss": 0.5995, + "step": 2313 + }, + { + "epoch": 1.1332516840171463, + "grad_norm": 0.38409024477005005, + "learning_rate": 3.510205973837383e-06, + "loss": 0.6135, + "step": 2314 + }, + { + "epoch": 1.1337415799142683, + "grad_norm": 0.3836517333984375, + "learning_rate": 3.509013039783006e-06, + "loss": 0.6296, + "step": 2315 + }, + { + "epoch": 1.13423147581139, + "grad_norm": 0.3701758086681366, + "learning_rate": 3.5078198312106526e-06, + "loss": 0.583, + "step": 2316 + }, + { + "epoch": 1.1347213717085118, + "grad_norm": 0.37526434659957886, + "learning_rate": 3.5066263484449548e-06, + "loss": 0.6136, + "step": 2317 + }, + { + "epoch": 1.1352112676056338, + "grad_norm": 0.36266857385635376, + "learning_rate": 3.5054325918106187e-06, + "loss": 0.6541, + "step": 2318 + }, + { + "epoch": 1.1357011635027556, + "grad_norm": 0.3670300245285034, + "learning_rate": 3.5042385616324243e-06, + "loss": 0.5888, + "step": 2319 + }, + { + "epoch": 1.1361910593998776, + "grad_norm": 0.3712811768054962, + "learning_rate": 3.5030442582352265e-06, + "loss": 0.6043, + "step": 2320 + }, + { + "epoch": 1.1366809552969994, + "grad_norm": 0.3871058225631714, + "learning_rate": 3.501849681943954e-06, + "loss": 0.6324, + "step": 2321 + }, + { + "epoch": 1.1371708511941212, + "grad_norm": 0.3805773854255676, + "learning_rate": 3.50065483308361e-06, + "loss": 0.6376, + "step": 2322 + }, + { + "epoch": 1.1376607470912432, + "grad_norm": 0.4086172580718994, + "learning_rate": 3.499459711979274e-06, + "loss": 0.6222, + "step": 2323 + }, + { + "epoch": 1.138150642988365, + "grad_norm": 0.36369001865386963, + "learning_rate": 3.4982643189560948e-06, + "loss": 0.6172, + "step": 2324 + }, + { + "epoch": 1.1386405388854868, + "grad_norm": 0.3637288510799408, + "learning_rate": 3.4970686543393006e-06, + "loss": 0.6281, + "step": 2325 + }, + { + "epoch": 1.1391304347826088, + "grad_norm": 0.38336941599845886, + "learning_rate": 3.495872718454189e-06, + "loss": 0.6413, + "step": 2326 + }, + { + "epoch": 1.1396203306797306, + "grad_norm": 0.3833021819591522, + "learning_rate": 3.4946765116261346e-06, + "loss": 0.6444, + "step": 2327 + }, + { + "epoch": 1.1401102265768523, + "grad_norm": 0.37073206901550293, + "learning_rate": 3.4934800341805835e-06, + "loss": 0.5811, + "step": 2328 + }, + { + "epoch": 1.1406001224739744, + "grad_norm": 0.38844627141952515, + "learning_rate": 3.4922832864430572e-06, + "loss": 0.5974, + "step": 2329 + }, + { + "epoch": 1.1410900183710961, + "grad_norm": 0.38366803526878357, + "learning_rate": 3.4910862687391486e-06, + "loss": 0.63, + "step": 2330 + }, + { + "epoch": 1.141579914268218, + "grad_norm": 0.3828582465648651, + "learning_rate": 3.4898889813945268e-06, + "loss": 0.6195, + "step": 2331 + }, + { + "epoch": 1.14206981016534, + "grad_norm": 0.3618840277194977, + "learning_rate": 3.488691424734931e-06, + "loss": 0.628, + "step": 2332 + }, + { + "epoch": 1.1425597060624617, + "grad_norm": 0.36818698048591614, + "learning_rate": 3.4874935990861774e-06, + "loss": 0.6042, + "step": 2333 + }, + { + "epoch": 1.1430496019595835, + "grad_norm": 0.37342867255210876, + "learning_rate": 3.4862955047741527e-06, + "loss": 0.6066, + "step": 2334 + }, + { + "epoch": 1.1435394978567055, + "grad_norm": 0.36467111110687256, + "learning_rate": 3.485097142124817e-06, + "loss": 0.6043, + "step": 2335 + }, + { + "epoch": 1.1440293937538273, + "grad_norm": 0.3761928081512451, + "learning_rate": 3.483898511464204e-06, + "loss": 0.6083, + "step": 2336 + }, + { + "epoch": 1.1445192896509493, + "grad_norm": 0.3885931074619293, + "learning_rate": 3.4826996131184206e-06, + "loss": 0.5686, + "step": 2337 + }, + { + "epoch": 1.145009185548071, + "grad_norm": 0.36707189679145813, + "learning_rate": 3.481500447413645e-06, + "loss": 0.5888, + "step": 2338 + }, + { + "epoch": 1.1454990814451929, + "grad_norm": 0.3754260241985321, + "learning_rate": 3.4803010146761305e-06, + "loss": 0.6067, + "step": 2339 + }, + { + "epoch": 1.1459889773423146, + "grad_norm": 0.36908993124961853, + "learning_rate": 3.479101315232201e-06, + "loss": 0.6131, + "step": 2340 + }, + { + "epoch": 1.1464788732394366, + "grad_norm": 0.3769341707229614, + "learning_rate": 3.477901349408255e-06, + "loss": 0.6169, + "step": 2341 + }, + { + "epoch": 1.1469687691365584, + "grad_norm": 0.3700066804885864, + "learning_rate": 3.4767011175307596e-06, + "loss": 0.608, + "step": 2342 + }, + { + "epoch": 1.1474586650336804, + "grad_norm": 0.37382972240448, + "learning_rate": 3.4755006199262596e-06, + "loss": 0.6256, + "step": 2343 + }, + { + "epoch": 1.1479485609308022, + "grad_norm": 0.3651280701160431, + "learning_rate": 3.4742998569213684e-06, + "loss": 0.607, + "step": 2344 + }, + { + "epoch": 1.148438456827924, + "grad_norm": 0.3775289058685303, + "learning_rate": 3.4730988288427713e-06, + "loss": 0.6159, + "step": 2345 + }, + { + "epoch": 1.148928352725046, + "grad_norm": 0.36840203404426575, + "learning_rate": 3.4718975360172288e-06, + "loss": 0.6185, + "step": 2346 + }, + { + "epoch": 1.1494182486221678, + "grad_norm": 0.38774538040161133, + "learning_rate": 3.470695978771571e-06, + "loss": 0.6222, + "step": 2347 + }, + { + "epoch": 1.1499081445192896, + "grad_norm": 0.3681979477405548, + "learning_rate": 3.4694941574327003e-06, + "loss": 0.5955, + "step": 2348 + }, + { + "epoch": 1.1503980404164116, + "grad_norm": 0.3730209171772003, + "learning_rate": 3.468292072327592e-06, + "loss": 0.5975, + "step": 2349 + }, + { + "epoch": 1.1508879363135334, + "grad_norm": 0.3580232858657837, + "learning_rate": 3.467089723783292e-06, + "loss": 0.6151, + "step": 2350 + }, + { + "epoch": 1.1513778322106551, + "grad_norm": 0.37932059168815613, + "learning_rate": 3.4658871121269173e-06, + "loss": 0.6285, + "step": 2351 + }, + { + "epoch": 1.1518677281077772, + "grad_norm": 0.39535823464393616, + "learning_rate": 3.4646842376856587e-06, + "loss": 0.612, + "step": 2352 + }, + { + "epoch": 1.152357624004899, + "grad_norm": 0.3590269386768341, + "learning_rate": 3.4634811007867767e-06, + "loss": 0.5915, + "step": 2353 + }, + { + "epoch": 1.152847519902021, + "grad_norm": 0.38030630350112915, + "learning_rate": 3.462277701757604e-06, + "loss": 0.6064, + "step": 2354 + }, + { + "epoch": 1.1533374157991427, + "grad_norm": 0.3569047451019287, + "learning_rate": 3.461074040925545e-06, + "loss": 0.6191, + "step": 2355 + }, + { + "epoch": 1.1538273116962645, + "grad_norm": 0.37109917402267456, + "learning_rate": 3.4598701186180722e-06, + "loss": 0.6129, + "step": 2356 + }, + { + "epoch": 1.1543172075933863, + "grad_norm": 0.37714532017707825, + "learning_rate": 3.458665935162735e-06, + "loss": 0.629, + "step": 2357 + }, + { + "epoch": 1.1548071034905083, + "grad_norm": 0.36614593863487244, + "learning_rate": 3.4574614908871486e-06, + "loss": 0.6019, + "step": 2358 + }, + { + "epoch": 1.15529699938763, + "grad_norm": 0.36665549874305725, + "learning_rate": 3.456256786119001e-06, + "loss": 0.6151, + "step": 2359 + }, + { + "epoch": 1.155786895284752, + "grad_norm": 0.37238264083862305, + "learning_rate": 3.4550518211860523e-06, + "loss": 0.6269, + "step": 2360 + }, + { + "epoch": 1.1562767911818739, + "grad_norm": 0.3712523877620697, + "learning_rate": 3.4538465964161315e-06, + "loss": 0.6127, + "step": 2361 + }, + { + "epoch": 1.1567666870789957, + "grad_norm": 0.3917768895626068, + "learning_rate": 3.4526411121371395e-06, + "loss": 0.6166, + "step": 2362 + }, + { + "epoch": 1.1572565829761177, + "grad_norm": 0.3600797653198242, + "learning_rate": 3.4514353686770475e-06, + "loss": 0.6218, + "step": 2363 + }, + { + "epoch": 1.1577464788732394, + "grad_norm": 0.36496487259864807, + "learning_rate": 3.4502293663638964e-06, + "loss": 0.6257, + "step": 2364 + }, + { + "epoch": 1.1582363747703612, + "grad_norm": 0.36045902967453003, + "learning_rate": 3.4490231055257993e-06, + "loss": 0.5964, + "step": 2365 + }, + { + "epoch": 1.1587262706674832, + "grad_norm": 0.3711399734020233, + "learning_rate": 3.447816586490937e-06, + "loss": 0.6065, + "step": 2366 + }, + { + "epoch": 1.159216166564605, + "grad_norm": 0.3741042912006378, + "learning_rate": 3.446609809587563e-06, + "loss": 0.6333, + "step": 2367 + }, + { + "epoch": 1.1597060624617268, + "grad_norm": 0.3726884722709656, + "learning_rate": 3.4454027751440016e-06, + "loss": 0.5804, + "step": 2368 + }, + { + "epoch": 1.1601959583588488, + "grad_norm": 0.35584867000579834, + "learning_rate": 3.4441954834886425e-06, + "loss": 0.6159, + "step": 2369 + }, + { + "epoch": 1.1606858542559706, + "grad_norm": 0.37961438298225403, + "learning_rate": 3.4429879349499512e-06, + "loss": 0.6132, + "step": 2370 + }, + { + "epoch": 1.1611757501530924, + "grad_norm": 0.3557739555835724, + "learning_rate": 3.441780129856459e-06, + "loss": 0.618, + "step": 2371 + }, + { + "epoch": 1.1616656460502144, + "grad_norm": 0.35420987010002136, + "learning_rate": 3.4405720685367686e-06, + "loss": 0.6093, + "step": 2372 + }, + { + "epoch": 1.1621555419473362, + "grad_norm": 0.3668508231639862, + "learning_rate": 3.439363751319553e-06, + "loss": 0.6091, + "step": 2373 + }, + { + "epoch": 1.162645437844458, + "grad_norm": 0.36740273237228394, + "learning_rate": 3.438155178533553e-06, + "loss": 0.6225, + "step": 2374 + }, + { + "epoch": 1.16313533374158, + "grad_norm": 0.3880002796649933, + "learning_rate": 3.4369463505075797e-06, + "loss": 0.596, + "step": 2375 + }, + { + "epoch": 1.1636252296387017, + "grad_norm": 0.3849830627441406, + "learning_rate": 3.435737267570516e-06, + "loss": 0.5945, + "step": 2376 + }, + { + "epoch": 1.1641151255358237, + "grad_norm": 0.36776211857795715, + "learning_rate": 3.4345279300513092e-06, + "loss": 0.6307, + "step": 2377 + }, + { + "epoch": 1.1646050214329455, + "grad_norm": 0.39366579055786133, + "learning_rate": 3.433318338278981e-06, + "loss": 0.6379, + "step": 2378 + }, + { + "epoch": 1.1650949173300673, + "grad_norm": 0.371067076921463, + "learning_rate": 3.4321084925826185e-06, + "loss": 0.6023, + "step": 2379 + }, + { + "epoch": 1.165584813227189, + "grad_norm": 0.3651316165924072, + "learning_rate": 3.4308983932913806e-06, + "loss": 0.6045, + "step": 2380 + }, + { + "epoch": 1.166074709124311, + "grad_norm": 0.3599511384963989, + "learning_rate": 3.4296880407344934e-06, + "loss": 0.6158, + "step": 2381 + }, + { + "epoch": 1.1665646050214329, + "grad_norm": 0.3906823992729187, + "learning_rate": 3.4284774352412526e-06, + "loss": 0.6116, + "step": 2382 + }, + { + "epoch": 1.167054500918555, + "grad_norm": 0.3706110119819641, + "learning_rate": 3.4272665771410216e-06, + "loss": 0.6, + "step": 2383 + }, + { + "epoch": 1.1675443968156767, + "grad_norm": 0.37282079458236694, + "learning_rate": 3.4260554667632357e-06, + "loss": 0.6163, + "step": 2384 + }, + { + "epoch": 1.1680342927127985, + "grad_norm": 0.37318694591522217, + "learning_rate": 3.4248441044373944e-06, + "loss": 0.6152, + "step": 2385 + }, + { + "epoch": 1.1685241886099205, + "grad_norm": 0.3715199828147888, + "learning_rate": 3.4236324904930694e-06, + "loss": 0.634, + "step": 2386 + }, + { + "epoch": 1.1690140845070423, + "grad_norm": 0.3817656636238098, + "learning_rate": 3.422420625259899e-06, + "loss": 0.6279, + "step": 2387 + }, + { + "epoch": 1.169503980404164, + "grad_norm": 0.3829468786716461, + "learning_rate": 3.4212085090675905e-06, + "loss": 0.6164, + "step": 2388 + }, + { + "epoch": 1.169993876301286, + "grad_norm": 0.36624816060066223, + "learning_rate": 3.4199961422459187e-06, + "loss": 0.6419, + "step": 2389 + }, + { + "epoch": 1.1704837721984078, + "grad_norm": 0.36981555819511414, + "learning_rate": 3.418783525124728e-06, + "loss": 0.6349, + "step": 2390 + }, + { + "epoch": 1.1709736680955296, + "grad_norm": 0.38495245575904846, + "learning_rate": 3.4175706580339298e-06, + "loss": 0.6154, + "step": 2391 + }, + { + "epoch": 1.1714635639926516, + "grad_norm": 0.3618782162666321, + "learning_rate": 3.416357541303504e-06, + "loss": 0.5987, + "step": 2392 + }, + { + "epoch": 1.1719534598897734, + "grad_norm": 0.37149694561958313, + "learning_rate": 3.4151441752634967e-06, + "loss": 0.6197, + "step": 2393 + }, + { + "epoch": 1.1724433557868954, + "grad_norm": 0.3675347864627838, + "learning_rate": 3.4139305602440255e-06, + "loss": 0.5951, + "step": 2394 + }, + { + "epoch": 1.1729332516840172, + "grad_norm": 0.370085209608078, + "learning_rate": 3.412716696575273e-06, + "loss": 0.6072, + "step": 2395 + }, + { + "epoch": 1.173423147581139, + "grad_norm": 0.3782585859298706, + "learning_rate": 3.4115025845874893e-06, + "loss": 0.5936, + "step": 2396 + }, + { + "epoch": 1.1739130434782608, + "grad_norm": 0.3813488781452179, + "learning_rate": 3.410288224610993e-06, + "loss": 0.624, + "step": 2397 + }, + { + "epoch": 1.1744029393753828, + "grad_norm": 0.38892510533332825, + "learning_rate": 3.409073616976171e-06, + "loss": 0.6178, + "step": 2398 + }, + { + "epoch": 1.1748928352725045, + "grad_norm": 0.3786250054836273, + "learning_rate": 3.4078587620134747e-06, + "loss": 0.5937, + "step": 2399 + }, + { + "epoch": 1.1753827311696265, + "grad_norm": 0.39264976978302, + "learning_rate": 3.4066436600534263e-06, + "loss": 0.6344, + "step": 2400 + }, + { + "epoch": 1.1758726270667483, + "grad_norm": 0.3723497986793518, + "learning_rate": 3.4054283114266123e-06, + "loss": 0.6046, + "step": 2401 + }, + { + "epoch": 1.1763625229638701, + "grad_norm": 0.39111271500587463, + "learning_rate": 3.4042127164636895e-06, + "loss": 0.6085, + "step": 2402 + }, + { + "epoch": 1.1768524188609921, + "grad_norm": 0.3571394383907318, + "learning_rate": 3.4029968754953767e-06, + "loss": 0.6037, + "step": 2403 + }, + { + "epoch": 1.177342314758114, + "grad_norm": 0.3808850049972534, + "learning_rate": 3.401780788852465e-06, + "loss": 0.6074, + "step": 2404 + }, + { + "epoch": 1.1778322106552357, + "grad_norm": 0.3725147545337677, + "learning_rate": 3.40056445686581e-06, + "loss": 0.6132, + "step": 2405 + }, + { + "epoch": 1.1783221065523577, + "grad_norm": 0.3784409165382385, + "learning_rate": 3.3993478798663325e-06, + "loss": 0.6125, + "step": 2406 + }, + { + "epoch": 1.1788120024494795, + "grad_norm": 0.39334186911582947, + "learning_rate": 3.398131058185023e-06, + "loss": 0.6302, + "step": 2407 + }, + { + "epoch": 1.1793018983466013, + "grad_norm": 0.3644533157348633, + "learning_rate": 3.396913992152937e-06, + "loss": 0.6178, + "step": 2408 + }, + { + "epoch": 1.1797917942437233, + "grad_norm": 0.38519757986068726, + "learning_rate": 3.395696682101195e-06, + "loss": 0.6094, + "step": 2409 + }, + { + "epoch": 1.180281690140845, + "grad_norm": 0.38517826795578003, + "learning_rate": 3.394479128360988e-06, + "loss": 0.6476, + "step": 2410 + }, + { + "epoch": 1.1807715860379668, + "grad_norm": 0.3887878954410553, + "learning_rate": 3.393261331263569e-06, + "loss": 0.6002, + "step": 2411 + }, + { + "epoch": 1.1812614819350888, + "grad_norm": 0.40229830145835876, + "learning_rate": 3.392043291140259e-06, + "loss": 0.5986, + "step": 2412 + }, + { + "epoch": 1.1817513778322106, + "grad_norm": 0.38433778285980225, + "learning_rate": 3.390825008322446e-06, + "loss": 0.6076, + "step": 2413 + }, + { + "epoch": 1.1822412737293324, + "grad_norm": 0.36012184619903564, + "learning_rate": 3.3896064831415824e-06, + "loss": 0.5966, + "step": 2414 + }, + { + "epoch": 1.1827311696264544, + "grad_norm": 0.3646942675113678, + "learning_rate": 3.3883877159291884e-06, + "loss": 0.6143, + "step": 2415 + }, + { + "epoch": 1.1832210655235762, + "grad_norm": 0.3638077974319458, + "learning_rate": 3.3871687070168475e-06, + "loss": 0.5698, + "step": 2416 + }, + { + "epoch": 1.1837109614206982, + "grad_norm": 0.372000128030777, + "learning_rate": 3.38594945673621e-06, + "loss": 0.6388, + "step": 2417 + }, + { + "epoch": 1.18420085731782, + "grad_norm": 0.3482421040534973, + "learning_rate": 3.3847299654189947e-06, + "loss": 0.6067, + "step": 2418 + }, + { + "epoch": 1.1846907532149418, + "grad_norm": 0.36558109521865845, + "learning_rate": 3.383510233396981e-06, + "loss": 0.6245, + "step": 2419 + }, + { + "epoch": 1.1851806491120638, + "grad_norm": 0.400003582239151, + "learning_rate": 3.382290261002018e-06, + "loss": 0.6229, + "step": 2420 + }, + { + "epoch": 1.1856705450091856, + "grad_norm": 0.3701217770576477, + "learning_rate": 3.3810700485660174e-06, + "loss": 0.6033, + "step": 2421 + }, + { + "epoch": 1.1861604409063073, + "grad_norm": 0.37878766655921936, + "learning_rate": 3.379849596420958e-06, + "loss": 0.6064, + "step": 2422 + }, + { + "epoch": 1.1866503368034294, + "grad_norm": 0.39174896478652954, + "learning_rate": 3.3786289048988828e-06, + "loss": 0.6121, + "step": 2423 + }, + { + "epoch": 1.1871402327005511, + "grad_norm": 0.41552260518074036, + "learning_rate": 3.3774079743319005e-06, + "loss": 0.6471, + "step": 2424 + }, + { + "epoch": 1.187630128597673, + "grad_norm": 0.3518814146518707, + "learning_rate": 3.376186805052184e-06, + "loss": 0.5868, + "step": 2425 + }, + { + "epoch": 1.188120024494795, + "grad_norm": 0.3634696900844574, + "learning_rate": 3.3749653973919734e-06, + "loss": 0.61, + "step": 2426 + }, + { + "epoch": 1.1886099203919167, + "grad_norm": 0.3897605240345001, + "learning_rate": 3.373743751683569e-06, + "loss": 0.5967, + "step": 2427 + }, + { + "epoch": 1.1890998162890385, + "grad_norm": 0.3689948618412018, + "learning_rate": 3.372521868259342e-06, + "loss": 0.5833, + "step": 2428 + }, + { + "epoch": 1.1895897121861605, + "grad_norm": 0.371900737285614, + "learning_rate": 3.371299747451723e-06, + "loss": 0.6216, + "step": 2429 + }, + { + "epoch": 1.1900796080832823, + "grad_norm": 0.36602798104286194, + "learning_rate": 3.3700773895932104e-06, + "loss": 0.6473, + "step": 2430 + }, + { + "epoch": 1.190569503980404, + "grad_norm": 0.3850128948688507, + "learning_rate": 3.3688547950163656e-06, + "loss": 0.5862, + "step": 2431 + }, + { + "epoch": 1.191059399877526, + "grad_norm": 0.3674272298812866, + "learning_rate": 3.367631964053816e-06, + "loss": 0.6197, + "step": 2432 + }, + { + "epoch": 1.1915492957746479, + "grad_norm": 0.3748466670513153, + "learning_rate": 3.3664088970382495e-06, + "loss": 0.5992, + "step": 2433 + }, + { + "epoch": 1.1920391916717699, + "grad_norm": 0.3876332938671112, + "learning_rate": 3.365185594302423e-06, + "loss": 0.6062, + "step": 2434 + }, + { + "epoch": 1.1925290875688916, + "grad_norm": 0.3631284832954407, + "learning_rate": 3.3639620561791554e-06, + "loss": 0.6184, + "step": 2435 + }, + { + "epoch": 1.1930189834660134, + "grad_norm": 0.35789161920547485, + "learning_rate": 3.362738283001328e-06, + "loss": 0.5998, + "step": 2436 + }, + { + "epoch": 1.1935088793631352, + "grad_norm": 0.34869882464408875, + "learning_rate": 3.3615142751018893e-06, + "loss": 0.6101, + "step": 2437 + }, + { + "epoch": 1.1939987752602572, + "grad_norm": 0.3592926859855652, + "learning_rate": 3.360290032813849e-06, + "loss": 0.5964, + "step": 2438 + }, + { + "epoch": 1.194488671157379, + "grad_norm": 0.3718363642692566, + "learning_rate": 3.3590655564702817e-06, + "loss": 0.6064, + "step": 2439 + }, + { + "epoch": 1.194978567054501, + "grad_norm": 0.3699730634689331, + "learning_rate": 3.3578408464043265e-06, + "loss": 0.6336, + "step": 2440 + }, + { + "epoch": 1.1954684629516228, + "grad_norm": 0.3848592936992645, + "learning_rate": 3.3566159029491848e-06, + "loss": 0.6082, + "step": 2441 + }, + { + "epoch": 1.1959583588487446, + "grad_norm": 0.3775908350944519, + "learning_rate": 3.3553907264381216e-06, + "loss": 0.5871, + "step": 2442 + }, + { + "epoch": 1.1964482547458666, + "grad_norm": 0.36748597025871277, + "learning_rate": 3.354165317204465e-06, + "loss": 0.6188, + "step": 2443 + }, + { + "epoch": 1.1969381506429884, + "grad_norm": 0.3801281452178955, + "learning_rate": 3.352939675581608e-06, + "loss": 0.6403, + "step": 2444 + }, + { + "epoch": 1.1974280465401101, + "grad_norm": 0.3670573830604553, + "learning_rate": 3.351713801903005e-06, + "loss": 0.6166, + "step": 2445 + }, + { + "epoch": 1.1979179424372322, + "grad_norm": 0.366952508687973, + "learning_rate": 3.3504876965021747e-06, + "loss": 0.6262, + "step": 2446 + }, + { + "epoch": 1.198407838334354, + "grad_norm": 0.35681748390197754, + "learning_rate": 3.3492613597126994e-06, + "loss": 0.6074, + "step": 2447 + }, + { + "epoch": 1.1988977342314757, + "grad_norm": 0.3549107015132904, + "learning_rate": 3.3480347918682215e-06, + "loss": 0.5981, + "step": 2448 + }, + { + "epoch": 1.1993876301285977, + "grad_norm": 0.37728241086006165, + "learning_rate": 3.34680799330245e-06, + "loss": 0.5717, + "step": 2449 + }, + { + "epoch": 1.1998775260257195, + "grad_norm": 0.3880556523799896, + "learning_rate": 3.345580964349154e-06, + "loss": 0.6114, + "step": 2450 + }, + { + "epoch": 1.2003674219228415, + "grad_norm": 0.35153913497924805, + "learning_rate": 3.344353705342166e-06, + "loss": 0.6189, + "step": 2451 + }, + { + "epoch": 1.2008573178199633, + "grad_norm": 0.38155290484428406, + "learning_rate": 3.3431262166153818e-06, + "loss": 0.6195, + "step": 2452 + }, + { + "epoch": 1.201347213717085, + "grad_norm": 0.36879321932792664, + "learning_rate": 3.3418984985027594e-06, + "loss": 0.6007, + "step": 2453 + }, + { + "epoch": 1.2018371096142069, + "grad_norm": 0.3768957853317261, + "learning_rate": 3.340670551338317e-06, + "loss": 0.5982, + "step": 2454 + }, + { + "epoch": 1.2023270055113289, + "grad_norm": 0.3800964951515198, + "learning_rate": 3.33944237545614e-06, + "loss": 0.595, + "step": 2455 + }, + { + "epoch": 1.2028169014084507, + "grad_norm": 0.3646308183670044, + "learning_rate": 3.3382139711903707e-06, + "loss": 0.6333, + "step": 2456 + }, + { + "epoch": 1.2033067973055727, + "grad_norm": 0.3745492994785309, + "learning_rate": 3.336985338875217e-06, + "loss": 0.5999, + "step": 2457 + }, + { + "epoch": 1.2037966932026944, + "grad_norm": 0.3713957965373993, + "learning_rate": 3.335756478844948e-06, + "loss": 0.6207, + "step": 2458 + }, + { + "epoch": 1.2042865890998162, + "grad_norm": 0.3554600775241852, + "learning_rate": 3.3345273914338943e-06, + "loss": 0.6445, + "step": 2459 + }, + { + "epoch": 1.2047764849969382, + "grad_norm": 0.37093332409858704, + "learning_rate": 3.3332980769764483e-06, + "loss": 0.5898, + "step": 2460 + }, + { + "epoch": 1.20526638089406, + "grad_norm": 0.3677402138710022, + "learning_rate": 3.332068535807065e-06, + "loss": 0.6164, + "step": 2461 + }, + { + "epoch": 1.2057562767911818, + "grad_norm": 0.3572682738304138, + "learning_rate": 3.3308387682602593e-06, + "loss": 0.605, + "step": 2462 + }, + { + "epoch": 1.2062461726883038, + "grad_norm": 0.36742037534713745, + "learning_rate": 3.3296087746706105e-06, + "loss": 0.5913, + "step": 2463 + }, + { + "epoch": 1.2067360685854256, + "grad_norm": 0.3815336525440216, + "learning_rate": 3.3283785553727568e-06, + "loss": 0.603, + "step": 2464 + }, + { + "epoch": 1.2072259644825474, + "grad_norm": 0.3744475543498993, + "learning_rate": 3.3271481107013993e-06, + "loss": 0.6146, + "step": 2465 + }, + { + "epoch": 1.2077158603796694, + "grad_norm": 0.38052836060523987, + "learning_rate": 3.3259174409913e-06, + "loss": 0.6157, + "step": 2466 + }, + { + "epoch": 1.2082057562767912, + "grad_norm": 0.38900646567344666, + "learning_rate": 3.3246865465772816e-06, + "loss": 0.5946, + "step": 2467 + }, + { + "epoch": 1.208695652173913, + "grad_norm": 0.3549789488315582, + "learning_rate": 3.3234554277942296e-06, + "loss": 0.6109, + "step": 2468 + }, + { + "epoch": 1.209185548071035, + "grad_norm": 0.3751165568828583, + "learning_rate": 3.3222240849770875e-06, + "loss": 0.6097, + "step": 2469 + }, + { + "epoch": 1.2096754439681567, + "grad_norm": 0.3716413676738739, + "learning_rate": 3.320992518460863e-06, + "loss": 0.5909, + "step": 2470 + }, + { + "epoch": 1.2101653398652785, + "grad_norm": 0.3832458257675171, + "learning_rate": 3.3197607285806227e-06, + "loss": 0.6269, + "step": 2471 + }, + { + "epoch": 1.2106552357624005, + "grad_norm": 0.36304906010627747, + "learning_rate": 3.3185287156714944e-06, + "loss": 0.6091, + "step": 2472 + }, + { + "epoch": 1.2111451316595223, + "grad_norm": 0.3709560036659241, + "learning_rate": 3.317296480068668e-06, + "loss": 0.6233, + "step": 2473 + }, + { + "epoch": 1.2116350275566443, + "grad_norm": 0.36764752864837646, + "learning_rate": 3.3160640221073915e-06, + "loss": 0.6127, + "step": 2474 + }, + { + "epoch": 1.212124923453766, + "grad_norm": 0.37151899933815, + "learning_rate": 3.3148313421229743e-06, + "loss": 0.6215, + "step": 2475 + }, + { + "epoch": 1.2126148193508879, + "grad_norm": 0.3786448836326599, + "learning_rate": 3.3135984404507877e-06, + "loss": 0.6103, + "step": 2476 + }, + { + "epoch": 1.21310471524801, + "grad_norm": 0.36116424202919006, + "learning_rate": 3.3123653174262614e-06, + "loss": 0.6122, + "step": 2477 + }, + { + "epoch": 1.2135946111451317, + "grad_norm": 0.359064519405365, + "learning_rate": 3.3111319733848856e-06, + "loss": 0.6163, + "step": 2478 + }, + { + "epoch": 1.2140845070422535, + "grad_norm": 0.38496825098991394, + "learning_rate": 3.309898408662212e-06, + "loss": 0.6032, + "step": 2479 + }, + { + "epoch": 1.2145744029393755, + "grad_norm": 0.3704833388328552, + "learning_rate": 3.3086646235938513e-06, + "loss": 0.6272, + "step": 2480 + }, + { + "epoch": 1.2150642988364972, + "grad_norm": 0.38557255268096924, + "learning_rate": 3.3074306185154735e-06, + "loss": 0.6085, + "step": 2481 + }, + { + "epoch": 1.215554194733619, + "grad_norm": 0.36692002415657043, + "learning_rate": 3.3061963937628105e-06, + "loss": 0.6089, + "step": 2482 + }, + { + "epoch": 1.216044090630741, + "grad_norm": 0.3618707060813904, + "learning_rate": 3.304961949671651e-06, + "loss": 0.6148, + "step": 2483 + }, + { + "epoch": 1.2165339865278628, + "grad_norm": 0.36446136236190796, + "learning_rate": 3.303727286577847e-06, + "loss": 0.6003, + "step": 2484 + }, + { + "epoch": 1.2170238824249846, + "grad_norm": 0.377437561750412, + "learning_rate": 3.3024924048173064e-06, + "loss": 0.6039, + "step": 2485 + }, + { + "epoch": 1.2175137783221066, + "grad_norm": 0.3694669008255005, + "learning_rate": 3.301257304725999e-06, + "loss": 0.5928, + "step": 2486 + }, + { + "epoch": 1.2180036742192284, + "grad_norm": 0.36488109827041626, + "learning_rate": 3.3000219866399542e-06, + "loss": 0.5767, + "step": 2487 + }, + { + "epoch": 1.2184935701163502, + "grad_norm": 0.37934520840644836, + "learning_rate": 3.2987864508952578e-06, + "loss": 0.5932, + "step": 2488 + }, + { + "epoch": 1.2189834660134722, + "grad_norm": 0.3622591197490692, + "learning_rate": 3.2975506978280596e-06, + "loss": 0.6181, + "step": 2489 + }, + { + "epoch": 1.219473361910594, + "grad_norm": 0.3825966715812683, + "learning_rate": 3.296314727774563e-06, + "loss": 0.6094, + "step": 2490 + }, + { + "epoch": 1.219963257807716, + "grad_norm": 0.3808143734931946, + "learning_rate": 3.295078541071035e-06, + "loss": 0.614, + "step": 2491 + }, + { + "epoch": 1.2204531537048378, + "grad_norm": 0.37652525305747986, + "learning_rate": 3.293842138053799e-06, + "loss": 0.6255, + "step": 2492 + }, + { + "epoch": 1.2209430496019595, + "grad_norm": 0.3783004581928253, + "learning_rate": 3.292605519059239e-06, + "loss": 0.6144, + "step": 2493 + }, + { + "epoch": 1.2214329454990813, + "grad_norm": 0.37920865416526794, + "learning_rate": 3.2913686844237963e-06, + "loss": 0.6306, + "step": 2494 + }, + { + "epoch": 1.2219228413962033, + "grad_norm": 0.3955570161342621, + "learning_rate": 3.2901316344839707e-06, + "loss": 0.6503, + "step": 2495 + }, + { + "epoch": 1.2224127372933251, + "grad_norm": 0.3761255741119385, + "learning_rate": 3.288894369576321e-06, + "loss": 0.6066, + "step": 2496 + }, + { + "epoch": 1.2229026331904471, + "grad_norm": 0.38341718912124634, + "learning_rate": 3.287656890037467e-06, + "loss": 0.6003, + "step": 2497 + }, + { + "epoch": 1.223392529087569, + "grad_norm": 0.3749380111694336, + "learning_rate": 3.286419196204082e-06, + "loss": 0.5887, + "step": 2498 + }, + { + "epoch": 1.2238824249846907, + "grad_norm": 0.37708780169487, + "learning_rate": 3.285181288412901e-06, + "loss": 0.6032, + "step": 2499 + }, + { + "epoch": 1.2243723208818127, + "grad_norm": 0.3572220206260681, + "learning_rate": 3.283943167000717e-06, + "loss": 0.6048, + "step": 2500 + }, + { + "epoch": 1.2248622167789345, + "grad_norm": 0.35533034801483154, + "learning_rate": 3.2827048323043797e-06, + "loss": 0.588, + "step": 2501 + }, + { + "epoch": 1.2253521126760563, + "grad_norm": 0.3799407482147217, + "learning_rate": 3.2814662846607987e-06, + "loss": 0.6252, + "step": 2502 + }, + { + "epoch": 1.2258420085731783, + "grad_norm": 0.38677576184272766, + "learning_rate": 3.2802275244069395e-06, + "loss": 0.6064, + "step": 2503 + }, + { + "epoch": 1.2263319044703, + "grad_norm": 0.3589463233947754, + "learning_rate": 3.278988551879827e-06, + "loss": 0.591, + "step": 2504 + }, + { + "epoch": 1.2268218003674218, + "grad_norm": 0.3799471855163574, + "learning_rate": 3.2777493674165433e-06, + "loss": 0.5909, + "step": 2505 + }, + { + "epoch": 1.2273116962645438, + "grad_norm": 0.36583176255226135, + "learning_rate": 3.276509971354228e-06, + "loss": 0.5883, + "step": 2506 + }, + { + "epoch": 1.2278015921616656, + "grad_norm": 0.3773844540119171, + "learning_rate": 3.275270364030078e-06, + "loss": 0.6143, + "step": 2507 + }, + { + "epoch": 1.2282914880587876, + "grad_norm": 0.3718237578868866, + "learning_rate": 3.2740305457813494e-06, + "loss": 0.61, + "step": 2508 + }, + { + "epoch": 1.2287813839559094, + "grad_norm": 0.3744884133338928, + "learning_rate": 3.272790516945353e-06, + "loss": 0.629, + "step": 2509 + }, + { + "epoch": 1.2292712798530312, + "grad_norm": 0.36849644780158997, + "learning_rate": 3.2715502778594586e-06, + "loss": 0.5904, + "step": 2510 + }, + { + "epoch": 1.229761175750153, + "grad_norm": 0.3677700459957123, + "learning_rate": 3.2703098288610936e-06, + "loss": 0.6104, + "step": 2511 + }, + { + "epoch": 1.230251071647275, + "grad_norm": 0.3812246024608612, + "learning_rate": 3.269069170287741e-06, + "loss": 0.602, + "step": 2512 + }, + { + "epoch": 1.2307409675443968, + "grad_norm": 0.37519755959510803, + "learning_rate": 3.267828302476942e-06, + "loss": 0.6058, + "step": 2513 + }, + { + "epoch": 1.2312308634415188, + "grad_norm": 0.3920177221298218, + "learning_rate": 3.2665872257662945e-06, + "loss": 0.6129, + "step": 2514 + }, + { + "epoch": 1.2317207593386406, + "grad_norm": 0.3858618140220642, + "learning_rate": 3.265345940493452e-06, + "loss": 0.5838, + "step": 2515 + }, + { + "epoch": 1.2322106552357623, + "grad_norm": 0.3754691481590271, + "learning_rate": 3.2641044469961273e-06, + "loss": 0.6152, + "step": 2516 + }, + { + "epoch": 1.2327005511328843, + "grad_norm": 0.36399441957473755, + "learning_rate": 3.262862745612087e-06, + "loss": 0.6367, + "step": 2517 + }, + { + "epoch": 1.2331904470300061, + "grad_norm": 0.39597535133361816, + "learning_rate": 3.261620836679157e-06, + "loss": 0.6143, + "step": 2518 + }, + { + "epoch": 1.233680342927128, + "grad_norm": 0.356658399105072, + "learning_rate": 3.2603787205352177e-06, + "loss": 0.5944, + "step": 2519 + }, + { + "epoch": 1.23417023882425, + "grad_norm": 0.3763567805290222, + "learning_rate": 3.259136397518206e-06, + "loss": 0.617, + "step": 2520 + }, + { + "epoch": 1.2346601347213717, + "grad_norm": 0.3584195673465729, + "learning_rate": 3.2578938679661165e-06, + "loss": 0.5807, + "step": 2521 + }, + { + "epoch": 1.2351500306184935, + "grad_norm": 0.3839187026023865, + "learning_rate": 3.256651132216998e-06, + "loss": 0.6004, + "step": 2522 + }, + { + "epoch": 1.2356399265156155, + "grad_norm": 0.3639509081840515, + "learning_rate": 3.255408190608956e-06, + "loss": 0.6232, + "step": 2523 + }, + { + "epoch": 1.2361298224127373, + "grad_norm": 0.3837522268295288, + "learning_rate": 3.254165043480155e-06, + "loss": 0.634, + "step": 2524 + }, + { + "epoch": 1.236619718309859, + "grad_norm": 0.38498470187187195, + "learning_rate": 3.25292169116881e-06, + "loss": 0.6096, + "step": 2525 + }, + { + "epoch": 1.237109614206981, + "grad_norm": 0.3738546669483185, + "learning_rate": 3.2516781340131974e-06, + "loss": 0.6256, + "step": 2526 + }, + { + "epoch": 1.2375995101041029, + "grad_norm": 0.3681512773036957, + "learning_rate": 3.2504343723516436e-06, + "loss": 0.6071, + "step": 2527 + }, + { + "epoch": 1.2380894060012246, + "grad_norm": 0.3805905878543854, + "learning_rate": 3.2491904065225354e-06, + "loss": 0.6286, + "step": 2528 + }, + { + "epoch": 1.2385793018983466, + "grad_norm": 0.35901767015457153, + "learning_rate": 3.247946236864314e-06, + "loss": 0.6029, + "step": 2529 + }, + { + "epoch": 1.2390691977954684, + "grad_norm": 0.36265718936920166, + "learning_rate": 3.246701863715474e-06, + "loss": 0.6066, + "step": 2530 + }, + { + "epoch": 1.2395590936925904, + "grad_norm": 0.38459837436676025, + "learning_rate": 3.2454572874145674e-06, + "loss": 0.6318, + "step": 2531 + }, + { + "epoch": 1.2400489895897122, + "grad_norm": 0.37371790409088135, + "learning_rate": 3.2442125083002014e-06, + "loss": 0.6289, + "step": 2532 + }, + { + "epoch": 1.240538885486834, + "grad_norm": 0.370688796043396, + "learning_rate": 3.2429675267110366e-06, + "loss": 0.6086, + "step": 2533 + }, + { + "epoch": 1.241028781383956, + "grad_norm": 0.3598329722881317, + "learning_rate": 3.241722342985792e-06, + "loss": 0.598, + "step": 2534 + }, + { + "epoch": 1.2415186772810778, + "grad_norm": 0.36194372177124023, + "learning_rate": 3.240476957463237e-06, + "loss": 0.5762, + "step": 2535 + }, + { + "epoch": 1.2420085731781996, + "grad_norm": 0.39761731028556824, + "learning_rate": 3.239231370482201e-06, + "loss": 0.6325, + "step": 2536 + }, + { + "epoch": 1.2424984690753216, + "grad_norm": 0.3517354726791382, + "learning_rate": 3.2379855823815635e-06, + "loss": 0.6296, + "step": 2537 + }, + { + "epoch": 1.2429883649724434, + "grad_norm": 0.3752862215042114, + "learning_rate": 3.236739593500262e-06, + "loss": 0.6096, + "step": 2538 + }, + { + "epoch": 1.2434782608695651, + "grad_norm": 0.38767096400260925, + "learning_rate": 3.235493404177288e-06, + "loss": 0.5981, + "step": 2539 + }, + { + "epoch": 1.2439681567666871, + "grad_norm": 0.3715187907218933, + "learning_rate": 3.234247014751686e-06, + "loss": 0.5912, + "step": 2540 + }, + { + "epoch": 1.244458052663809, + "grad_norm": 0.37532177567481995, + "learning_rate": 3.2330004255625556e-06, + "loss": 0.6181, + "step": 2541 + }, + { + "epoch": 1.2449479485609307, + "grad_norm": 0.38045549392700195, + "learning_rate": 3.231753636949053e-06, + "loss": 0.6142, + "step": 2542 + }, + { + "epoch": 1.2454378444580527, + "grad_norm": 0.3703373372554779, + "learning_rate": 3.230506649250385e-06, + "loss": 0.5857, + "step": 2543 + }, + { + "epoch": 1.2459277403551745, + "grad_norm": 0.3759549558162689, + "learning_rate": 3.229259462805815e-06, + "loss": 0.6557, + "step": 2544 + }, + { + "epoch": 1.2464176362522963, + "grad_norm": 0.37564927339553833, + "learning_rate": 3.2280120779546603e-06, + "loss": 0.6278, + "step": 2545 + }, + { + "epoch": 1.2469075321494183, + "grad_norm": 0.3872891962528229, + "learning_rate": 3.226764495036291e-06, + "loss": 0.6284, + "step": 2546 + }, + { + "epoch": 1.24739742804654, + "grad_norm": 0.37035107612609863, + "learning_rate": 3.225516714390132e-06, + "loss": 0.5998, + "step": 2547 + }, + { + "epoch": 1.247887323943662, + "grad_norm": 0.3819604218006134, + "learning_rate": 3.224268736355662e-06, + "loss": 0.5933, + "step": 2548 + }, + { + "epoch": 1.2483772198407839, + "grad_norm": 0.3658113181591034, + "learning_rate": 3.2230205612724124e-06, + "loss": 0.6286, + "step": 2549 + }, + { + "epoch": 1.2488671157379057, + "grad_norm": 0.3667638897895813, + "learning_rate": 3.2217721894799704e-06, + "loss": 0.58, + "step": 2550 + }, + { + "epoch": 1.2493570116350274, + "grad_norm": 0.368221640586853, + "learning_rate": 3.2205236213179736e-06, + "loss": 0.6004, + "step": 2551 + }, + { + "epoch": 1.2498469075321494, + "grad_norm": 0.3682861030101776, + "learning_rate": 3.219274857126116e-06, + "loss": 0.6086, + "step": 2552 + }, + { + "epoch": 1.2503368034292712, + "grad_norm": 0.35440555214881897, + "learning_rate": 3.2180258972441443e-06, + "loss": 0.5816, + "step": 2553 + }, + { + "epoch": 1.2508266993263932, + "grad_norm": 0.3823241591453552, + "learning_rate": 3.2167767420118555e-06, + "loss": 0.5999, + "step": 2554 + }, + { + "epoch": 1.251316595223515, + "grad_norm": 0.358539879322052, + "learning_rate": 3.215527391769104e-06, + "loss": 0.6024, + "step": 2555 + }, + { + "epoch": 1.2518064911206368, + "grad_norm": 0.37586668133735657, + "learning_rate": 3.214277846855795e-06, + "loss": 0.61, + "step": 2556 + }, + { + "epoch": 1.2522963870177588, + "grad_norm": 0.3765791654586792, + "learning_rate": 3.2130281076118856e-06, + "loss": 0.6253, + "step": 2557 + }, + { + "epoch": 1.2527862829148806, + "grad_norm": 0.37494567036628723, + "learning_rate": 3.21177817437739e-06, + "loss": 0.6059, + "step": 2558 + }, + { + "epoch": 1.2532761788120024, + "grad_norm": 0.3721686899662018, + "learning_rate": 3.210528047492369e-06, + "loss": 0.6102, + "step": 2559 + }, + { + "epoch": 1.2537660747091244, + "grad_norm": 0.3826180696487427, + "learning_rate": 3.2092777272969415e-06, + "loss": 0.6048, + "step": 2560 + }, + { + "epoch": 1.2542559706062462, + "grad_norm": 0.3991275727748871, + "learning_rate": 3.208027214131277e-06, + "loss": 0.6026, + "step": 2561 + }, + { + "epoch": 1.254745866503368, + "grad_norm": 0.37516871094703674, + "learning_rate": 3.206776508335596e-06, + "loss": 0.6281, + "step": 2562 + }, + { + "epoch": 1.25523576240049, + "grad_norm": 0.38303589820861816, + "learning_rate": 3.205525610250174e-06, + "loss": 0.6083, + "step": 2563 + }, + { + "epoch": 1.2557256582976117, + "grad_norm": 0.3768436014652252, + "learning_rate": 3.2042745202153377e-06, + "loss": 0.5964, + "step": 2564 + }, + { + "epoch": 1.2562155541947337, + "grad_norm": 0.3583942651748657, + "learning_rate": 3.203023238571465e-06, + "loss": 0.6421, + "step": 2565 + }, + { + "epoch": 1.2567054500918555, + "grad_norm": 0.36239299178123474, + "learning_rate": 3.2017717656589874e-06, + "loss": 0.6102, + "step": 2566 + }, + { + "epoch": 1.2571953459889773, + "grad_norm": 0.38561949133872986, + "learning_rate": 3.200520101818388e-06, + "loss": 0.6347, + "step": 2567 + }, + { + "epoch": 1.257685241886099, + "grad_norm": 0.38800737261772156, + "learning_rate": 3.199268247390201e-06, + "loss": 0.6396, + "step": 2568 + }, + { + "epoch": 1.258175137783221, + "grad_norm": 0.38401031494140625, + "learning_rate": 3.198016202715015e-06, + "loss": 0.5976, + "step": 2569 + }, + { + "epoch": 1.2586650336803429, + "grad_norm": 0.3675576150417328, + "learning_rate": 3.1967639681334668e-06, + "loss": 0.633, + "step": 2570 + }, + { + "epoch": 1.2591549295774649, + "grad_norm": 0.3875560760498047, + "learning_rate": 3.195511543986248e-06, + "loss": 0.5958, + "step": 2571 + }, + { + "epoch": 1.2596448254745867, + "grad_norm": 0.3666306436061859, + "learning_rate": 3.1942589306140993e-06, + "loss": 0.6171, + "step": 2572 + }, + { + "epoch": 1.2601347213717085, + "grad_norm": 0.38600578904151917, + "learning_rate": 3.1930061283578146e-06, + "loss": 0.627, + "step": 2573 + }, + { + "epoch": 1.2606246172688302, + "grad_norm": 0.3867635130882263, + "learning_rate": 3.191753137558238e-06, + "loss": 0.6175, + "step": 2574 + }, + { + "epoch": 1.2611145131659522, + "grad_norm": 0.37496379017829895, + "learning_rate": 3.1904999585562667e-06, + "loss": 0.6015, + "step": 2575 + }, + { + "epoch": 1.261604409063074, + "grad_norm": 0.37514322996139526, + "learning_rate": 3.189246591692847e-06, + "loss": 0.6191, + "step": 2576 + }, + { + "epoch": 1.262094304960196, + "grad_norm": 0.38244903087615967, + "learning_rate": 3.1879930373089776e-06, + "loss": 0.6155, + "step": 2577 + }, + { + "epoch": 1.2625842008573178, + "grad_norm": 0.3823203146457672, + "learning_rate": 3.1867392957457065e-06, + "loss": 0.5946, + "step": 2578 + }, + { + "epoch": 1.2630740967544396, + "grad_norm": 0.3802388608455658, + "learning_rate": 3.1854853673441366e-06, + "loss": 0.6126, + "step": 2579 + }, + { + "epoch": 1.2635639926515616, + "grad_norm": 0.3650122880935669, + "learning_rate": 3.1842312524454155e-06, + "loss": 0.5923, + "step": 2580 + }, + { + "epoch": 1.2640538885486834, + "grad_norm": 0.3665233254432678, + "learning_rate": 3.1829769513907484e-06, + "loss": 0.6337, + "step": 2581 + }, + { + "epoch": 1.2645437844458054, + "grad_norm": 0.37655484676361084, + "learning_rate": 3.1817224645213858e-06, + "loss": 0.6068, + "step": 2582 + }, + { + "epoch": 1.2650336803429272, + "grad_norm": 0.36475035548210144, + "learning_rate": 3.1804677921786316e-06, + "loss": 0.6198, + "step": 2583 + }, + { + "epoch": 1.265523576240049, + "grad_norm": 0.3852621614933014, + "learning_rate": 3.179212934703838e-06, + "loss": 0.6098, + "step": 2584 + }, + { + "epoch": 1.2660134721371707, + "grad_norm": 0.38883087038993835, + "learning_rate": 3.1779578924384103e-06, + "loss": 0.6088, + "step": 2585 + }, + { + "epoch": 1.2665033680342928, + "grad_norm": 0.39481112360954285, + "learning_rate": 3.176702665723802e-06, + "loss": 0.6084, + "step": 2586 + }, + { + "epoch": 1.2669932639314145, + "grad_norm": 0.3589232861995697, + "learning_rate": 3.175447254901518e-06, + "loss": 0.6024, + "step": 2587 + }, + { + "epoch": 1.2674831598285365, + "grad_norm": 0.3585565686225891, + "learning_rate": 3.1741916603131107e-06, + "loss": 0.5877, + "step": 2588 + }, + { + "epoch": 1.2679730557256583, + "grad_norm": 0.3789098560810089, + "learning_rate": 3.1729358823001873e-06, + "loss": 0.6052, + "step": 2589 + }, + { + "epoch": 1.26846295162278, + "grad_norm": 0.3729358911514282, + "learning_rate": 3.1716799212044004e-06, + "loss": 0.6104, + "step": 2590 + }, + { + "epoch": 1.268952847519902, + "grad_norm": 0.3879893124103546, + "learning_rate": 3.170423777367454e-06, + "loss": 0.5923, + "step": 2591 + }, + { + "epoch": 1.269442743417024, + "grad_norm": 0.36415353417396545, + "learning_rate": 3.1691674511311028e-06, + "loss": 0.5923, + "step": 2592 + }, + { + "epoch": 1.2699326393141457, + "grad_norm": 0.37231966853141785, + "learning_rate": 3.1679109428371496e-06, + "loss": 0.6005, + "step": 2593 + }, + { + "epoch": 1.2704225352112677, + "grad_norm": 0.39322277903556824, + "learning_rate": 3.1666542528274476e-06, + "loss": 0.5985, + "step": 2594 + }, + { + "epoch": 1.2709124311083895, + "grad_norm": 0.37615740299224854, + "learning_rate": 3.1653973814438994e-06, + "loss": 0.6126, + "step": 2595 + }, + { + "epoch": 1.2714023270055113, + "grad_norm": 0.3619287610054016, + "learning_rate": 3.164140329028456e-06, + "loss": 0.6127, + "step": 2596 + }, + { + "epoch": 1.2718922229026333, + "grad_norm": 0.3795495331287384, + "learning_rate": 3.1628830959231194e-06, + "loss": 0.6064, + "step": 2597 + }, + { + "epoch": 1.272382118799755, + "grad_norm": 0.37229591608047485, + "learning_rate": 3.16162568246994e-06, + "loss": 0.6148, + "step": 2598 + }, + { + "epoch": 1.272872014696877, + "grad_norm": 0.37739455699920654, + "learning_rate": 3.1603680890110157e-06, + "loss": 0.5991, + "step": 2599 + }, + { + "epoch": 1.2733619105939988, + "grad_norm": 0.37056466937065125, + "learning_rate": 3.159110315888495e-06, + "loss": 0.6176, + "step": 2600 + }, + { + "epoch": 1.2738518064911206, + "grad_norm": 0.3638090491294861, + "learning_rate": 3.1578523634445762e-06, + "loss": 0.6491, + "step": 2601 + }, + { + "epoch": 1.2743417023882424, + "grad_norm": 0.38176748156547546, + "learning_rate": 3.156594232021504e-06, + "loss": 0.6399, + "step": 2602 + }, + { + "epoch": 1.2748315982853644, + "grad_norm": 0.3548649251461029, + "learning_rate": 3.1553359219615737e-06, + "loss": 0.623, + "step": 2603 + }, + { + "epoch": 1.2753214941824862, + "grad_norm": 0.388555645942688, + "learning_rate": 3.154077433607128e-06, + "loss": 0.646, + "step": 2604 + }, + { + "epoch": 1.2758113900796082, + "grad_norm": 0.3796512186527252, + "learning_rate": 3.1528187673005583e-06, + "loss": 0.6361, + "step": 2605 + }, + { + "epoch": 1.27630128597673, + "grad_norm": 0.3745725750923157, + "learning_rate": 3.1515599233843052e-06, + "loss": 0.6394, + "step": 2606 + }, + { + "epoch": 1.2767911818738518, + "grad_norm": 0.3795553147792816, + "learning_rate": 3.150300902200858e-06, + "loss": 0.5928, + "step": 2607 + }, + { + "epoch": 1.2772810777709735, + "grad_norm": 0.3708895444869995, + "learning_rate": 3.1490417040927513e-06, + "loss": 0.6419, + "step": 2608 + }, + { + "epoch": 1.2777709736680956, + "grad_norm": 0.37495794892311096, + "learning_rate": 3.147782329402572e-06, + "loss": 0.5854, + "step": 2609 + }, + { + "epoch": 1.2782608695652173, + "grad_norm": 0.3712833821773529, + "learning_rate": 3.1465227784729507e-06, + "loss": 0.6185, + "step": 2610 + }, + { + "epoch": 1.2787507654623393, + "grad_norm": 0.37785741686820984, + "learning_rate": 3.145263051646571e-06, + "loss": 0.6153, + "step": 2611 + }, + { + "epoch": 1.2792406613594611, + "grad_norm": 0.3789382874965668, + "learning_rate": 3.1440031492661583e-06, + "loss": 0.6081, + "step": 2612 + }, + { + "epoch": 1.279730557256583, + "grad_norm": 0.3906642198562622, + "learning_rate": 3.1427430716744924e-06, + "loss": 0.5769, + "step": 2613 + }, + { + "epoch": 1.280220453153705, + "grad_norm": 0.37217360734939575, + "learning_rate": 3.1414828192143937e-06, + "loss": 0.6255, + "step": 2614 + }, + { + "epoch": 1.2807103490508267, + "grad_norm": 0.36648520827293396, + "learning_rate": 3.1402223922287365e-06, + "loss": 0.6267, + "step": 2615 + }, + { + "epoch": 1.2812002449479485, + "grad_norm": 0.3799853026866913, + "learning_rate": 3.138961791060439e-06, + "loss": 0.6212, + "step": 2616 + }, + { + "epoch": 1.2816901408450705, + "grad_norm": 0.3940960168838501, + "learning_rate": 3.1377010160524685e-06, + "loss": 0.5845, + "step": 2617 + }, + { + "epoch": 1.2821800367421923, + "grad_norm": 0.36269399523735046, + "learning_rate": 3.136440067547838e-06, + "loss": 0.6367, + "step": 2618 + }, + { + "epoch": 1.282669932639314, + "grad_norm": 0.3726802468299866, + "learning_rate": 3.135178945889608e-06, + "loss": 0.5915, + "step": 2619 + }, + { + "epoch": 1.283159828536436, + "grad_norm": 0.38069841265678406, + "learning_rate": 3.1339176514208877e-06, + "loss": 0.6091, + "step": 2620 + }, + { + "epoch": 1.2836497244335578, + "grad_norm": 0.3712085783481598, + "learning_rate": 3.1326561844848323e-06, + "loss": 0.6057, + "step": 2621 + }, + { + "epoch": 1.2841396203306799, + "grad_norm": 0.3741898238658905, + "learning_rate": 3.1313945454246424e-06, + "loss": 0.6219, + "step": 2622 + }, + { + "epoch": 1.2846295162278016, + "grad_norm": 0.3702267110347748, + "learning_rate": 3.1301327345835687e-06, + "loss": 0.6327, + "step": 2623 + }, + { + "epoch": 1.2851194121249234, + "grad_norm": 0.3682316541671753, + "learning_rate": 3.1288707523049056e-06, + "loss": 0.5925, + "step": 2624 + }, + { + "epoch": 1.2856093080220452, + "grad_norm": 0.3721764385700226, + "learning_rate": 3.127608598931996e-06, + "loss": 0.6018, + "step": 2625 + }, + { + "epoch": 1.2860992039191672, + "grad_norm": 0.384552538394928, + "learning_rate": 3.126346274808228e-06, + "loss": 0.6213, + "step": 2626 + }, + { + "epoch": 1.286589099816289, + "grad_norm": 0.3787466287612915, + "learning_rate": 3.1250837802770378e-06, + "loss": 0.6472, + "step": 2627 + }, + { + "epoch": 1.287078995713411, + "grad_norm": 0.3829699456691742, + "learning_rate": 3.1238211156819065e-06, + "loss": 0.5892, + "step": 2628 + }, + { + "epoch": 1.2875688916105328, + "grad_norm": 0.36178281903266907, + "learning_rate": 3.122558281366362e-06, + "loss": 0.5988, + "step": 2629 + }, + { + "epoch": 1.2880587875076546, + "grad_norm": 0.3762850761413574, + "learning_rate": 3.121295277673978e-06, + "loss": 0.5641, + "step": 2630 + }, + { + "epoch": 1.2885486834047764, + "grad_norm": 0.3690366744995117, + "learning_rate": 3.120032104948375e-06, + "loss": 0.5931, + "step": 2631 + }, + { + "epoch": 1.2890385793018984, + "grad_norm": 0.39132562279701233, + "learning_rate": 3.1187687635332203e-06, + "loss": 0.6059, + "step": 2632 + }, + { + "epoch": 1.2895284751990201, + "grad_norm": 0.38164928555488586, + "learning_rate": 3.117505253772224e-06, + "loss": 0.6206, + "step": 2633 + }, + { + "epoch": 1.2900183710961421, + "grad_norm": 0.38639315962791443, + "learning_rate": 3.1162415760091454e-06, + "loss": 0.6017, + "step": 2634 + }, + { + "epoch": 1.290508266993264, + "grad_norm": 0.39467477798461914, + "learning_rate": 3.1149777305877864e-06, + "loss": 0.5858, + "step": 2635 + }, + { + "epoch": 1.2909981628903857, + "grad_norm": 0.3875470459461212, + "learning_rate": 3.1137137178519983e-06, + "loss": 0.6027, + "step": 2636 + }, + { + "epoch": 1.2914880587875077, + "grad_norm": 0.370603084564209, + "learning_rate": 3.1124495381456744e-06, + "loss": 0.6086, + "step": 2637 + }, + { + "epoch": 1.2919779546846295, + "grad_norm": 0.3933928608894348, + "learning_rate": 3.111185191812755e-06, + "loss": 0.6344, + "step": 2638 + }, + { + "epoch": 1.2924678505817515, + "grad_norm": 0.383942574262619, + "learning_rate": 3.1099206791972255e-06, + "loss": 0.5928, + "step": 2639 + }, + { + "epoch": 1.2929577464788733, + "grad_norm": 0.3752022981643677, + "learning_rate": 3.108656000643117e-06, + "loss": 0.6069, + "step": 2640 + }, + { + "epoch": 1.293447642375995, + "grad_norm": 0.37970834970474243, + "learning_rate": 3.107391156494505e-06, + "loss": 0.5929, + "step": 2641 + }, + { + "epoch": 1.2939375382731169, + "grad_norm": 0.39367154240608215, + "learning_rate": 3.10612614709551e-06, + "loss": 0.653, + "step": 2642 + }, + { + "epoch": 1.2944274341702389, + "grad_norm": 0.368484228849411, + "learning_rate": 3.104860972790299e-06, + "loss": 0.6019, + "step": 2643 + }, + { + "epoch": 1.2949173300673607, + "grad_norm": 0.3683755695819855, + "learning_rate": 3.1035956339230816e-06, + "loss": 0.6147, + "step": 2644 + }, + { + "epoch": 1.2954072259644827, + "grad_norm": 0.3826960623264313, + "learning_rate": 3.102330130838114e-06, + "loss": 0.6433, + "step": 2645 + }, + { + "epoch": 1.2958971218616044, + "grad_norm": 0.39971616864204407, + "learning_rate": 3.1010644638796956e-06, + "loss": 0.6341, + "step": 2646 + }, + { + "epoch": 1.2963870177587262, + "grad_norm": 0.40919020771980286, + "learning_rate": 3.0997986333921707e-06, + "loss": 0.6476, + "step": 2647 + }, + { + "epoch": 1.296876913655848, + "grad_norm": 0.3815106153488159, + "learning_rate": 3.098532639719931e-06, + "loss": 0.5944, + "step": 2648 + }, + { + "epoch": 1.29736680955297, + "grad_norm": 0.37595134973526, + "learning_rate": 3.0972664832074075e-06, + "loss": 0.6171, + "step": 2649 + }, + { + "epoch": 1.2978567054500918, + "grad_norm": 0.3748018145561218, + "learning_rate": 3.09600016419908e-06, + "loss": 0.5885, + "step": 2650 + }, + { + "epoch": 1.2983466013472138, + "grad_norm": 0.38908854126930237, + "learning_rate": 3.0947336830394684e-06, + "loss": 0.5973, + "step": 2651 + }, + { + "epoch": 1.2988364972443356, + "grad_norm": 0.38210901618003845, + "learning_rate": 3.0934670400731413e-06, + "loss": 0.612, + "step": 2652 + }, + { + "epoch": 1.2993263931414574, + "grad_norm": 0.3695966601371765, + "learning_rate": 3.0922002356447085e-06, + "loss": 0.6258, + "step": 2653 + }, + { + "epoch": 1.2998162890385794, + "grad_norm": 0.37948551774024963, + "learning_rate": 3.0909332700988226e-06, + "loss": 0.583, + "step": 2654 + }, + { + "epoch": 1.3003061849357012, + "grad_norm": 0.3570810854434967, + "learning_rate": 3.0896661437801833e-06, + "loss": 0.6103, + "step": 2655 + }, + { + "epoch": 1.300796080832823, + "grad_norm": 0.36700934171676636, + "learning_rate": 3.0883988570335323e-06, + "loss": 0.6024, + "step": 2656 + }, + { + "epoch": 1.301285976729945, + "grad_norm": 0.3890722692012787, + "learning_rate": 3.0871314102036533e-06, + "loss": 0.633, + "step": 2657 + }, + { + "epoch": 1.3017758726270667, + "grad_norm": 0.384464293718338, + "learning_rate": 3.0858638036353777e-06, + "loss": 0.6103, + "step": 2658 + }, + { + "epoch": 1.3022657685241885, + "grad_norm": 0.383727103471756, + "learning_rate": 3.0845960376735763e-06, + "loss": 0.6011, + "step": 2659 + }, + { + "epoch": 1.3027556644213105, + "grad_norm": 0.37188661098480225, + "learning_rate": 3.0833281126631655e-06, + "loss": 0.6164, + "step": 2660 + }, + { + "epoch": 1.3032455603184323, + "grad_norm": 0.3653342127799988, + "learning_rate": 3.0820600289491038e-06, + "loss": 0.618, + "step": 2661 + }, + { + "epoch": 1.3037354562155543, + "grad_norm": 0.39589545130729675, + "learning_rate": 3.0807917868763944e-06, + "loss": 0.6277, + "step": 2662 + }, + { + "epoch": 1.304225352112676, + "grad_norm": 0.3740343153476715, + "learning_rate": 3.079523386790082e-06, + "loss": 0.6006, + "step": 2663 + }, + { + "epoch": 1.3047152480097979, + "grad_norm": 0.39324432611465454, + "learning_rate": 3.0782548290352554e-06, + "loss": 0.6193, + "step": 2664 + }, + { + "epoch": 1.3052051439069197, + "grad_norm": 0.3811512291431427, + "learning_rate": 3.0769861139570446e-06, + "loss": 0.598, + "step": 2665 + }, + { + "epoch": 1.3056950398040417, + "grad_norm": 0.3776527941226959, + "learning_rate": 3.075717241900626e-06, + "loss": 0.6115, + "step": 2666 + }, + { + "epoch": 1.3061849357011635, + "grad_norm": 0.3864038586616516, + "learning_rate": 3.0744482132112136e-06, + "loss": 0.5939, + "step": 2667 + }, + { + "epoch": 1.3066748315982855, + "grad_norm": 0.35299402475357056, + "learning_rate": 3.0731790282340685e-06, + "loss": 0.6022, + "step": 2668 + }, + { + "epoch": 1.3071647274954072, + "grad_norm": 0.3769162893295288, + "learning_rate": 3.071909687314492e-06, + "loss": 0.5904, + "step": 2669 + }, + { + "epoch": 1.307654623392529, + "grad_norm": 0.3832825720310211, + "learning_rate": 3.070640190797829e-06, + "loss": 0.6058, + "step": 2670 + }, + { + "epoch": 1.308144519289651, + "grad_norm": 0.41649672389030457, + "learning_rate": 3.0693705390294646e-06, + "loss": 0.6087, + "step": 2671 + }, + { + "epoch": 1.3086344151867728, + "grad_norm": 0.3770790994167328, + "learning_rate": 3.0681007323548293e-06, + "loss": 0.5979, + "step": 2672 + }, + { + "epoch": 1.3091243110838946, + "grad_norm": 0.3688565492630005, + "learning_rate": 3.0668307711193935e-06, + "loss": 0.6319, + "step": 2673 + }, + { + "epoch": 1.3096142069810166, + "grad_norm": 0.3889639377593994, + "learning_rate": 3.0655606556686707e-06, + "loss": 0.5903, + "step": 2674 + }, + { + "epoch": 1.3101041028781384, + "grad_norm": 0.3654906749725342, + "learning_rate": 3.064290386348215e-06, + "loss": 0.6137, + "step": 2675 + }, + { + "epoch": 1.3105939987752602, + "grad_norm": 0.39101389050483704, + "learning_rate": 3.063019963503624e-06, + "loss": 0.6289, + "step": 2676 + }, + { + "epoch": 1.3110838946723822, + "grad_norm": 0.38805946707725525, + "learning_rate": 3.061749387480536e-06, + "loss": 0.5902, + "step": 2677 + }, + { + "epoch": 1.311573790569504, + "grad_norm": 0.37970107793807983, + "learning_rate": 3.0604786586246314e-06, + "loss": 0.5834, + "step": 2678 + }, + { + "epoch": 1.312063686466626, + "grad_norm": 0.3816147446632385, + "learning_rate": 3.059207777281632e-06, + "loss": 0.6469, + "step": 2679 + }, + { + "epoch": 1.3125535823637478, + "grad_norm": 0.378044068813324, + "learning_rate": 3.057936743797302e-06, + "loss": 0.5917, + "step": 2680 + }, + { + "epoch": 1.3130434782608695, + "grad_norm": 0.36912500858306885, + "learning_rate": 3.0566655585174445e-06, + "loss": 0.6019, + "step": 2681 + }, + { + "epoch": 1.3135333741579913, + "grad_norm": 0.37644556164741516, + "learning_rate": 3.055394221787908e-06, + "loss": 0.6033, + "step": 2682 + }, + { + "epoch": 1.3140232700551133, + "grad_norm": 0.3706464469432831, + "learning_rate": 3.0541227339545772e-06, + "loss": 0.6082, + "step": 2683 + }, + { + "epoch": 1.314513165952235, + "grad_norm": 0.4015727639198303, + "learning_rate": 3.0528510953633824e-06, + "loss": 0.6349, + "step": 2684 + }, + { + "epoch": 1.3150030618493571, + "grad_norm": 0.39546459913253784, + "learning_rate": 3.051579306360292e-06, + "loss": 0.6116, + "step": 2685 + }, + { + "epoch": 1.315492957746479, + "grad_norm": 0.367209792137146, + "learning_rate": 3.050307367291317e-06, + "loss": 0.6116, + "step": 2686 + }, + { + "epoch": 1.3159828536436007, + "grad_norm": 0.3598785400390625, + "learning_rate": 3.0490352785025085e-06, + "loss": 0.6013, + "step": 2687 + }, + { + "epoch": 1.3164727495407225, + "grad_norm": 0.36720144748687744, + "learning_rate": 3.0477630403399576e-06, + "loss": 0.6186, + "step": 2688 + }, + { + "epoch": 1.3169626454378445, + "grad_norm": 0.38114577531814575, + "learning_rate": 3.046490653149797e-06, + "loss": 0.6323, + "step": 2689 + }, + { + "epoch": 1.3174525413349663, + "grad_norm": 0.3892272114753723, + "learning_rate": 3.0452181172782012e-06, + "loss": 0.6387, + "step": 2690 + }, + { + "epoch": 1.3179424372320883, + "grad_norm": 0.3819722533226013, + "learning_rate": 3.0439454330713826e-06, + "loss": 0.5993, + "step": 2691 + }, + { + "epoch": 1.31843233312921, + "grad_norm": 0.3774017095565796, + "learning_rate": 3.0426726008755943e-06, + "loss": 0.5999, + "step": 2692 + }, + { + "epoch": 1.3189222290263318, + "grad_norm": 0.3780970573425293, + "learning_rate": 3.0413996210371322e-06, + "loss": 0.5882, + "step": 2693 + }, + { + "epoch": 1.3194121249234538, + "grad_norm": 0.3609425127506256, + "learning_rate": 3.040126493902329e-06, + "loss": 0.5997, + "step": 2694 + }, + { + "epoch": 1.3199020208205756, + "grad_norm": 0.3702821433544159, + "learning_rate": 3.0388532198175613e-06, + "loss": 0.6142, + "step": 2695 + }, + { + "epoch": 1.3203919167176976, + "grad_norm": 0.37130293250083923, + "learning_rate": 3.0375797991292403e-06, + "loss": 0.6133, + "step": 2696 + }, + { + "epoch": 1.3208818126148194, + "grad_norm": 0.3811018764972687, + "learning_rate": 3.036306232183823e-06, + "loss": 0.6113, + "step": 2697 + }, + { + "epoch": 1.3213717085119412, + "grad_norm": 0.39468520879745483, + "learning_rate": 3.0350325193278022e-06, + "loss": 0.5979, + "step": 2698 + }, + { + "epoch": 1.321861604409063, + "grad_norm": 0.38124457001686096, + "learning_rate": 3.033758660907712e-06, + "loss": 0.5972, + "step": 2699 + }, + { + "epoch": 1.322351500306185, + "grad_norm": 0.3663819134235382, + "learning_rate": 3.032484657270126e-06, + "loss": 0.6011, + "step": 2700 + }, + { + "epoch": 1.3228413962033068, + "grad_norm": 0.3927343785762787, + "learning_rate": 3.031210508761656e-06, + "loss": 0.5988, + "step": 2701 + }, + { + "epoch": 1.3233312921004288, + "grad_norm": 0.36420634388923645, + "learning_rate": 3.029936215728955e-06, + "loss": 0.6264, + "step": 2702 + }, + { + "epoch": 1.3238211879975506, + "grad_norm": 0.37038543820381165, + "learning_rate": 3.0286617785187157e-06, + "loss": 0.6376, + "step": 2703 + }, + { + "epoch": 1.3243110838946723, + "grad_norm": 0.3712129592895508, + "learning_rate": 3.027387197477667e-06, + "loss": 0.6028, + "step": 2704 + }, + { + "epoch": 1.3248009797917941, + "grad_norm": 0.3678291440010071, + "learning_rate": 3.0261124729525797e-06, + "loss": 0.5844, + "step": 2705 + }, + { + "epoch": 1.3252908756889161, + "grad_norm": 0.3775262236595154, + "learning_rate": 3.0248376052902627e-06, + "loss": 0.5937, + "step": 2706 + }, + { + "epoch": 1.325780771586038, + "grad_norm": 0.37942805886268616, + "learning_rate": 3.0235625948375646e-06, + "loss": 0.6103, + "step": 2707 + }, + { + "epoch": 1.32627066748316, + "grad_norm": 0.3723185658454895, + "learning_rate": 3.0222874419413716e-06, + "loss": 0.6507, + "step": 2708 + }, + { + "epoch": 1.3267605633802817, + "grad_norm": 0.35973161458969116, + "learning_rate": 3.0210121469486093e-06, + "loss": 0.5966, + "step": 2709 + }, + { + "epoch": 1.3272504592774035, + "grad_norm": 0.37848636507987976, + "learning_rate": 3.0197367102062407e-06, + "loss": 0.6179, + "step": 2710 + }, + { + "epoch": 1.3277403551745255, + "grad_norm": 0.36499446630477905, + "learning_rate": 3.018461132061271e-06, + "loss": 0.608, + "step": 2711 + }, + { + "epoch": 1.3282302510716473, + "grad_norm": 0.3719358742237091, + "learning_rate": 3.0171854128607393e-06, + "loss": 0.613, + "step": 2712 + }, + { + "epoch": 1.328720146968769, + "grad_norm": 0.362111359834671, + "learning_rate": 3.0159095529517268e-06, + "loss": 0.5987, + "step": 2713 + }, + { + "epoch": 1.329210042865891, + "grad_norm": 0.3598775565624237, + "learning_rate": 3.0146335526813504e-06, + "loss": 0.5972, + "step": 2714 + }, + { + "epoch": 1.3296999387630128, + "grad_norm": 0.36300602555274963, + "learning_rate": 3.0133574123967662e-06, + "loss": 0.6048, + "step": 2715 + }, + { + "epoch": 1.3301898346601346, + "grad_norm": 0.3719954490661621, + "learning_rate": 3.012081132445169e-06, + "loss": 0.6016, + "step": 2716 + }, + { + "epoch": 1.3306797305572566, + "grad_norm": 0.3923468291759491, + "learning_rate": 3.01080471317379e-06, + "loss": 0.6215, + "step": 2717 + }, + { + "epoch": 1.3311696264543784, + "grad_norm": 0.36429479718208313, + "learning_rate": 3.0095281549299e-06, + "loss": 0.5849, + "step": 2718 + }, + { + "epoch": 1.3316595223515004, + "grad_norm": 0.38020774722099304, + "learning_rate": 3.0082514580608076e-06, + "loss": 0.5851, + "step": 2719 + }, + { + "epoch": 1.3321494182486222, + "grad_norm": 0.37062451243400574, + "learning_rate": 3.0069746229138556e-06, + "loss": 0.6336, + "step": 2720 + }, + { + "epoch": 1.332639314145744, + "grad_norm": 0.3763248026371002, + "learning_rate": 3.0056976498364308e-06, + "loss": 0.6105, + "step": 2721 + }, + { + "epoch": 1.3331292100428658, + "grad_norm": 0.37711942195892334, + "learning_rate": 3.0044205391759517e-06, + "loss": 0.607, + "step": 2722 + }, + { + "epoch": 1.3336191059399878, + "grad_norm": 0.36647137999534607, + "learning_rate": 3.0031432912798776e-06, + "loss": 0.5978, + "step": 2723 + }, + { + "epoch": 1.3341090018371096, + "grad_norm": 0.3908044099807739, + "learning_rate": 3.0018659064957034e-06, + "loss": 0.6418, + "step": 2724 + }, + { + "epoch": 1.3345988977342316, + "grad_norm": 0.37513023614883423, + "learning_rate": 3.0005883851709616e-06, + "loss": 0.5991, + "step": 2725 + }, + { + "epoch": 1.3350887936313534, + "grad_norm": 0.3666006922721863, + "learning_rate": 2.999310727653222e-06, + "loss": 0.6092, + "step": 2726 + }, + { + "epoch": 1.3355786895284751, + "grad_norm": 0.3668742775917053, + "learning_rate": 2.9980329342900933e-06, + "loss": 0.6279, + "step": 2727 + }, + { + "epoch": 1.3360685854255971, + "grad_norm": 0.3826501965522766, + "learning_rate": 2.996755005429217e-06, + "loss": 0.6119, + "step": 2728 + }, + { + "epoch": 1.336558481322719, + "grad_norm": 0.3744507133960724, + "learning_rate": 2.9954769414182755e-06, + "loss": 0.6339, + "step": 2729 + }, + { + "epoch": 1.3370483772198407, + "grad_norm": 0.37480640411376953, + "learning_rate": 2.9941987426049856e-06, + "loss": 0.6051, + "step": 2730 + }, + { + "epoch": 1.3375382731169627, + "grad_norm": 0.3778899312019348, + "learning_rate": 2.992920409337102e-06, + "loss": 0.5974, + "step": 2731 + }, + { + "epoch": 1.3380281690140845, + "grad_norm": 0.3663657009601593, + "learning_rate": 2.991641941962416e-06, + "loss": 0.6265, + "step": 2732 + }, + { + "epoch": 1.3385180649112063, + "grad_norm": 0.3805660903453827, + "learning_rate": 2.9903633408287538e-06, + "loss": 0.6195, + "step": 2733 + }, + { + "epoch": 1.3390079608083283, + "grad_norm": 0.37060481309890747, + "learning_rate": 2.9890846062839786e-06, + "loss": 0.6057, + "step": 2734 + }, + { + "epoch": 1.33949785670545, + "grad_norm": 0.363800585269928, + "learning_rate": 2.9878057386759927e-06, + "loss": 0.6133, + "step": 2735 + }, + { + "epoch": 1.339987752602572, + "grad_norm": 0.38314107060432434, + "learning_rate": 2.98652673835273e-06, + "loss": 0.6216, + "step": 2736 + }, + { + "epoch": 1.3404776484996939, + "grad_norm": 0.3878062069416046, + "learning_rate": 2.985247605662164e-06, + "loss": 0.6188, + "step": 2737 + }, + { + "epoch": 1.3409675443968156, + "grad_norm": 0.36103639006614685, + "learning_rate": 2.9839683409523023e-06, + "loss": 0.6033, + "step": 2738 + }, + { + "epoch": 1.3414574402939374, + "grad_norm": 0.3605171740055084, + "learning_rate": 2.9826889445711894e-06, + "loss": 0.6355, + "step": 2739 + }, + { + "epoch": 1.3419473361910594, + "grad_norm": 0.39102548360824585, + "learning_rate": 2.9814094168669063e-06, + "loss": 0.6368, + "step": 2740 + }, + { + "epoch": 1.3424372320881812, + "grad_norm": 0.3795163333415985, + "learning_rate": 2.980129758187567e-06, + "loss": 0.5944, + "step": 2741 + }, + { + "epoch": 1.3429271279853032, + "grad_norm": 0.3644316792488098, + "learning_rate": 2.9788499688813244e-06, + "loss": 0.596, + "step": 2742 + }, + { + "epoch": 1.343417023882425, + "grad_norm": 0.38389116525650024, + "learning_rate": 2.9775700492963643e-06, + "loss": 0.6074, + "step": 2743 + }, + { + "epoch": 1.3439069197795468, + "grad_norm": 0.37808606028556824, + "learning_rate": 2.9762899997809093e-06, + "loss": 0.6296, + "step": 2744 + }, + { + "epoch": 1.3443968156766686, + "grad_norm": 0.37086018919944763, + "learning_rate": 2.975009820683219e-06, + "loss": 0.6072, + "step": 2745 + }, + { + "epoch": 1.3448867115737906, + "grad_norm": 0.3792283236980438, + "learning_rate": 2.9737295123515834e-06, + "loss": 0.609, + "step": 2746 + }, + { + "epoch": 1.3453766074709124, + "grad_norm": 0.3813454806804657, + "learning_rate": 2.9724490751343326e-06, + "loss": 0.5927, + "step": 2747 + }, + { + "epoch": 1.3458665033680344, + "grad_norm": 0.3736129105091095, + "learning_rate": 2.97116850937983e-06, + "loss": 0.6328, + "step": 2748 + }, + { + "epoch": 1.3463563992651562, + "grad_norm": 0.39076587557792664, + "learning_rate": 2.9698878154364724e-06, + "loss": 0.6003, + "step": 2749 + }, + { + "epoch": 1.346846295162278, + "grad_norm": 0.36889415979385376, + "learning_rate": 2.968606993652694e-06, + "loss": 0.6125, + "step": 2750 + }, + { + "epoch": 1.3473361910594, + "grad_norm": 0.3728729784488678, + "learning_rate": 2.9673260443769627e-06, + "loss": 0.6018, + "step": 2751 + }, + { + "epoch": 1.3478260869565217, + "grad_norm": 0.3788042962551117, + "learning_rate": 2.966044967957779e-06, + "loss": 0.612, + "step": 2752 + }, + { + "epoch": 1.3483159828536437, + "grad_norm": 0.37466371059417725, + "learning_rate": 2.9647637647436833e-06, + "loss": 0.5997, + "step": 2753 + }, + { + "epoch": 1.3488058787507655, + "grad_norm": 0.3828834891319275, + "learning_rate": 2.9634824350832447e-06, + "loss": 0.6092, + "step": 2754 + }, + { + "epoch": 1.3492957746478873, + "grad_norm": 0.3739134669303894, + "learning_rate": 2.9622009793250705e-06, + "loss": 0.6028, + "step": 2755 + }, + { + "epoch": 1.349785670545009, + "grad_norm": 0.3849553167819977, + "learning_rate": 2.960919397817801e-06, + "loss": 0.6106, + "step": 2756 + }, + { + "epoch": 1.350275566442131, + "grad_norm": 0.36809587478637695, + "learning_rate": 2.9596376909101095e-06, + "loss": 0.5946, + "step": 2757 + }, + { + "epoch": 1.3507654623392529, + "grad_norm": 0.38073524832725525, + "learning_rate": 2.9583558589507056e-06, + "loss": 0.6002, + "step": 2758 + }, + { + "epoch": 1.3512553582363749, + "grad_norm": 0.3828888535499573, + "learning_rate": 2.957073902288332e-06, + "loss": 0.6061, + "step": 2759 + }, + { + "epoch": 1.3517452541334967, + "grad_norm": 0.3621397316455841, + "learning_rate": 2.955791821271766e-06, + "loss": 0.6439, + "step": 2760 + }, + { + "epoch": 1.3522351500306184, + "grad_norm": 0.376858115196228, + "learning_rate": 2.9545096162498167e-06, + "loss": 0.5896, + "step": 2761 + }, + { + "epoch": 1.3527250459277402, + "grad_norm": 0.3787497282028198, + "learning_rate": 2.9532272875713287e-06, + "loss": 0.6198, + "step": 2762 + }, + { + "epoch": 1.3532149418248622, + "grad_norm": 0.380022794008255, + "learning_rate": 2.9519448355851792e-06, + "loss": 0.6085, + "step": 2763 + }, + { + "epoch": 1.353704837721984, + "grad_norm": 0.37395742535591125, + "learning_rate": 2.950662260640282e-06, + "loss": 0.5849, + "step": 2764 + }, + { + "epoch": 1.354194733619106, + "grad_norm": 0.39661794900894165, + "learning_rate": 2.949379563085579e-06, + "loss": 0.6303, + "step": 2765 + }, + { + "epoch": 1.3546846295162278, + "grad_norm": 0.3918989300727844, + "learning_rate": 2.94809674327005e-06, + "loss": 0.6114, + "step": 2766 + }, + { + "epoch": 1.3551745254133496, + "grad_norm": 0.3794672191143036, + "learning_rate": 2.946813801542706e-06, + "loss": 0.5921, + "step": 2767 + }, + { + "epoch": 1.3556644213104716, + "grad_norm": 0.3640851080417633, + "learning_rate": 2.9455307382525923e-06, + "loss": 0.6022, + "step": 2768 + }, + { + "epoch": 1.3561543172075934, + "grad_norm": 0.37381359934806824, + "learning_rate": 2.9442475537487853e-06, + "loss": 0.6148, + "step": 2769 + }, + { + "epoch": 1.3566442131047152, + "grad_norm": 0.370358407497406, + "learning_rate": 2.9429642483803965e-06, + "loss": 0.6135, + "step": 2770 + }, + { + "epoch": 1.3571341090018372, + "grad_norm": 0.37243157625198364, + "learning_rate": 2.941680822496569e-06, + "loss": 0.6095, + "step": 2771 + }, + { + "epoch": 1.357624004898959, + "grad_norm": 0.3779018819332123, + "learning_rate": 2.9403972764464805e-06, + "loss": 0.605, + "step": 2772 + }, + { + "epoch": 1.3581139007960807, + "grad_norm": 0.39662623405456543, + "learning_rate": 2.939113610579338e-06, + "loss": 0.5965, + "step": 2773 + }, + { + "epoch": 1.3586037966932027, + "grad_norm": 0.38057267665863037, + "learning_rate": 2.9378298252443844e-06, + "loss": 0.6278, + "step": 2774 + }, + { + "epoch": 1.3590936925903245, + "grad_norm": 0.38448551297187805, + "learning_rate": 2.936545920790893e-06, + "loss": 0.5984, + "step": 2775 + }, + { + "epoch": 1.3595835884874465, + "grad_norm": 0.39136627316474915, + "learning_rate": 2.9352618975681717e-06, + "loss": 0.5819, + "step": 2776 + }, + { + "epoch": 1.3600734843845683, + "grad_norm": 0.3798687160015106, + "learning_rate": 2.9339777559255585e-06, + "loss": 0.6163, + "step": 2777 + }, + { + "epoch": 1.36056338028169, + "grad_norm": 0.37461552023887634, + "learning_rate": 2.9326934962124236e-06, + "loss": 0.6122, + "step": 2778 + }, + { + "epoch": 1.3610532761788119, + "grad_norm": 0.3754109740257263, + "learning_rate": 2.931409118778172e-06, + "loss": 0.6013, + "step": 2779 + }, + { + "epoch": 1.361543172075934, + "grad_norm": 0.37219786643981934, + "learning_rate": 2.9301246239722373e-06, + "loss": 0.6148, + "step": 2780 + }, + { + "epoch": 1.3620330679730557, + "grad_norm": 0.38971346616744995, + "learning_rate": 2.9288400121440876e-06, + "loss": 0.6044, + "step": 2781 + }, + { + "epoch": 1.3625229638701777, + "grad_norm": 0.36881428956985474, + "learning_rate": 2.927555283643222e-06, + "loss": 0.6158, + "step": 2782 + }, + { + "epoch": 1.3630128597672995, + "grad_norm": 0.368237167596817, + "learning_rate": 2.9262704388191698e-06, + "loss": 0.5919, + "step": 2783 + }, + { + "epoch": 1.3635027556644213, + "grad_norm": 0.3807377815246582, + "learning_rate": 2.924985478021495e-06, + "loss": 0.5827, + "step": 2784 + }, + { + "epoch": 1.363992651561543, + "grad_norm": 0.38594284653663635, + "learning_rate": 2.923700401599792e-06, + "loss": 0.5931, + "step": 2785 + }, + { + "epoch": 1.364482547458665, + "grad_norm": 0.37460657954216003, + "learning_rate": 2.922415209903684e-06, + "loss": 0.6129, + "step": 2786 + }, + { + "epoch": 1.3649724433557868, + "grad_norm": 0.3876175582408905, + "learning_rate": 2.921129903282829e-06, + "loss": 0.5801, + "step": 2787 + }, + { + "epoch": 1.3654623392529088, + "grad_norm": 0.38393309712409973, + "learning_rate": 2.9198444820869155e-06, + "loss": 0.6191, + "step": 2788 + }, + { + "epoch": 1.3659522351500306, + "grad_norm": 0.38748347759246826, + "learning_rate": 2.918558946665661e-06, + "loss": 0.5977, + "step": 2789 + }, + { + "epoch": 1.3664421310471524, + "grad_norm": 0.37526512145996094, + "learning_rate": 2.9172732973688185e-06, + "loss": 0.5913, + "step": 2790 + }, + { + "epoch": 1.3669320269442744, + "grad_norm": 0.3864108920097351, + "learning_rate": 2.9159875345461664e-06, + "loss": 0.5993, + "step": 2791 + }, + { + "epoch": 1.3674219228413962, + "grad_norm": 0.37038326263427734, + "learning_rate": 2.9147016585475184e-06, + "loss": 0.6217, + "step": 2792 + }, + { + "epoch": 1.3679118187385182, + "grad_norm": 0.3950066864490509, + "learning_rate": 2.9134156697227172e-06, + "loss": 0.6384, + "step": 2793 + }, + { + "epoch": 1.36840171463564, + "grad_norm": 0.3719857335090637, + "learning_rate": 2.9121295684216366e-06, + "loss": 0.6021, + "step": 2794 + }, + { + "epoch": 1.3688916105327618, + "grad_norm": 0.37855255603790283, + "learning_rate": 2.9108433549941804e-06, + "loss": 0.6041, + "step": 2795 + }, + { + "epoch": 1.3693815064298835, + "grad_norm": 0.37031129002571106, + "learning_rate": 2.909557029790284e-06, + "loss": 0.5879, + "step": 2796 + }, + { + "epoch": 1.3698714023270055, + "grad_norm": 0.38560861349105835, + "learning_rate": 2.90827059315991e-06, + "loss": 0.6295, + "step": 2797 + }, + { + "epoch": 1.3703612982241273, + "grad_norm": 0.368418425321579, + "learning_rate": 2.9069840454530583e-06, + "loss": 0.5906, + "step": 2798 + }, + { + "epoch": 1.3708511941212493, + "grad_norm": 0.38544416427612305, + "learning_rate": 2.9056973870197506e-06, + "loss": 0.6204, + "step": 2799 + }, + { + "epoch": 1.3713410900183711, + "grad_norm": 0.3935788869857788, + "learning_rate": 2.904410618210045e-06, + "loss": 0.58, + "step": 2800 + }, + { + "epoch": 1.371830985915493, + "grad_norm": 0.3672057092189789, + "learning_rate": 2.903123739374027e-06, + "loss": 0.6136, + "step": 2801 + }, + { + "epoch": 1.3723208818126147, + "grad_norm": 0.369540274143219, + "learning_rate": 2.901836750861811e-06, + "loss": 0.6064, + "step": 2802 + }, + { + "epoch": 1.3728107777097367, + "grad_norm": 0.3746015131473541, + "learning_rate": 2.9005496530235446e-06, + "loss": 0.6078, + "step": 2803 + }, + { + "epoch": 1.3733006736068585, + "grad_norm": 0.36938807368278503, + "learning_rate": 2.8992624462094016e-06, + "loss": 0.6152, + "step": 2804 + }, + { + "epoch": 1.3737905695039805, + "grad_norm": 0.36226263642311096, + "learning_rate": 2.897975130769587e-06, + "loss": 0.5988, + "step": 2805 + }, + { + "epoch": 1.3742804654011023, + "grad_norm": 0.37881532311439514, + "learning_rate": 2.896687707054337e-06, + "loss": 0.6074, + "step": 2806 + }, + { + "epoch": 1.374770361298224, + "grad_norm": 0.38042306900024414, + "learning_rate": 2.8954001754139134e-06, + "loss": 0.5959, + "step": 2807 + }, + { + "epoch": 1.375260257195346, + "grad_norm": 0.376760333776474, + "learning_rate": 2.894112536198611e-06, + "loss": 0.6275, + "step": 2808 + }, + { + "epoch": 1.3757501530924678, + "grad_norm": 0.37613406777381897, + "learning_rate": 2.8928247897587523e-06, + "loss": 0.6105, + "step": 2809 + }, + { + "epoch": 1.3762400489895898, + "grad_norm": 0.3739890456199646, + "learning_rate": 2.891536936444689e-06, + "loss": 0.6073, + "step": 2810 + }, + { + "epoch": 1.3767299448867116, + "grad_norm": 0.36163845658302307, + "learning_rate": 2.890248976606802e-06, + "loss": 0.6019, + "step": 2811 + }, + { + "epoch": 1.3772198407838334, + "grad_norm": 0.37536680698394775, + "learning_rate": 2.8889609105955007e-06, + "loss": 0.587, + "step": 2812 + }, + { + "epoch": 1.3777097366809552, + "grad_norm": 0.37615934014320374, + "learning_rate": 2.8876727387612237e-06, + "loss": 0.6179, + "step": 2813 + }, + { + "epoch": 1.3781996325780772, + "grad_norm": 0.3733389675617218, + "learning_rate": 2.8863844614544407e-06, + "loss": 0.626, + "step": 2814 + }, + { + "epoch": 1.378689528475199, + "grad_norm": 0.37864160537719727, + "learning_rate": 2.8850960790256443e-06, + "loss": 0.6165, + "step": 2815 + }, + { + "epoch": 1.379179424372321, + "grad_norm": 0.3858857750892639, + "learning_rate": 2.883807591825363e-06, + "loss": 0.6184, + "step": 2816 + }, + { + "epoch": 1.3796693202694428, + "grad_norm": 0.3764953911304474, + "learning_rate": 2.8825190002041475e-06, + "loss": 0.5887, + "step": 2817 + }, + { + "epoch": 1.3801592161665646, + "grad_norm": 0.3809685707092285, + "learning_rate": 2.881230304512581e-06, + "loss": 0.6009, + "step": 2818 + }, + { + "epoch": 1.3806491120636863, + "grad_norm": 0.36707958579063416, + "learning_rate": 2.8799415051012732e-06, + "loss": 0.6052, + "step": 2819 + }, + { + "epoch": 1.3811390079608084, + "grad_norm": 0.3691350519657135, + "learning_rate": 2.8786526023208615e-06, + "loss": 0.6158, + "step": 2820 + }, + { + "epoch": 1.3816289038579301, + "grad_norm": 0.37771525979042053, + "learning_rate": 2.8773635965220144e-06, + "loss": 0.6302, + "step": 2821 + }, + { + "epoch": 1.3821187997550521, + "grad_norm": 0.3643110692501068, + "learning_rate": 2.8760744880554244e-06, + "loss": 0.6337, + "step": 2822 + }, + { + "epoch": 1.382608695652174, + "grad_norm": 0.3711506128311157, + "learning_rate": 2.8747852772718144e-06, + "loss": 0.6358, + "step": 2823 + }, + { + "epoch": 1.3830985915492957, + "grad_norm": 0.3655639588832855, + "learning_rate": 2.873495964521935e-06, + "loss": 0.5915, + "step": 2824 + }, + { + "epoch": 1.3835884874464177, + "grad_norm": 0.3846891522407532, + "learning_rate": 2.872206550156564e-06, + "loss": 0.6008, + "step": 2825 + }, + { + "epoch": 1.3840783833435395, + "grad_norm": 0.3820631802082062, + "learning_rate": 2.870917034526506e-06, + "loss": 0.6138, + "step": 2826 + }, + { + "epoch": 1.3845682792406613, + "grad_norm": 0.380618691444397, + "learning_rate": 2.869627417982596e-06, + "loss": 0.5964, + "step": 2827 + }, + { + "epoch": 1.3850581751377833, + "grad_norm": 0.3767753839492798, + "learning_rate": 2.868337700875693e-06, + "loss": 0.6157, + "step": 2828 + }, + { + "epoch": 1.385548071034905, + "grad_norm": 0.40163788199424744, + "learning_rate": 2.867047883556686e-06, + "loss": 0.6034, + "step": 2829 + }, + { + "epoch": 1.3860379669320269, + "grad_norm": 0.3754141926765442, + "learning_rate": 2.86575796637649e-06, + "loss": 0.6295, + "step": 2830 + }, + { + "epoch": 1.3865278628291489, + "grad_norm": 0.38630348443984985, + "learning_rate": 2.864467949686047e-06, + "loss": 0.6018, + "step": 2831 + }, + { + "epoch": 1.3870177587262706, + "grad_norm": 0.3902532458305359, + "learning_rate": 2.863177833836327e-06, + "loss": 0.6278, + "step": 2832 + }, + { + "epoch": 1.3875076546233926, + "grad_norm": 0.3807763159275055, + "learning_rate": 2.8618876191783256e-06, + "loss": 0.5982, + "step": 2833 + }, + { + "epoch": 1.3879975505205144, + "grad_norm": 0.37695541977882385, + "learning_rate": 2.8605973060630666e-06, + "loss": 0.6231, + "step": 2834 + }, + { + "epoch": 1.3884874464176362, + "grad_norm": 0.39008086919784546, + "learning_rate": 2.8593068948416015e-06, + "loss": 0.6007, + "step": 2835 + }, + { + "epoch": 1.388977342314758, + "grad_norm": 0.4016353487968445, + "learning_rate": 2.858016385865004e-06, + "loss": 0.6042, + "step": 2836 + }, + { + "epoch": 1.38946723821188, + "grad_norm": 0.37454578280448914, + "learning_rate": 2.85672577948438e-06, + "loss": 0.5944, + "step": 2837 + }, + { + "epoch": 1.3899571341090018, + "grad_norm": 0.3898999094963074, + "learning_rate": 2.8554350760508592e-06, + "loss": 0.6075, + "step": 2838 + }, + { + "epoch": 1.3904470300061238, + "grad_norm": 0.3818204700946808, + "learning_rate": 2.854144275915597e-06, + "loss": 0.5715, + "step": 2839 + }, + { + "epoch": 1.3909369259032456, + "grad_norm": 0.3830280005931854, + "learning_rate": 2.8528533794297763e-06, + "loss": 0.6026, + "step": 2840 + }, + { + "epoch": 1.3914268218003674, + "grad_norm": 0.3794107735157013, + "learning_rate": 2.851562386944606e-06, + "loss": 0.6074, + "step": 2841 + }, + { + "epoch": 1.3919167176974891, + "grad_norm": 0.3804109990596771, + "learning_rate": 2.850271298811321e-06, + "loss": 0.626, + "step": 2842 + }, + { + "epoch": 1.3924066135946112, + "grad_norm": 0.37878093123435974, + "learning_rate": 2.8489801153811836e-06, + "loss": 0.5954, + "step": 2843 + }, + { + "epoch": 1.392896509491733, + "grad_norm": 0.3709754943847656, + "learning_rate": 2.8476888370054777e-06, + "loss": 0.6075, + "step": 2844 + }, + { + "epoch": 1.393386405388855, + "grad_norm": 0.3687082529067993, + "learning_rate": 2.846397464035519e-06, + "loss": 0.5803, + "step": 2845 + }, + { + "epoch": 1.3938763012859767, + "grad_norm": 0.41871294379234314, + "learning_rate": 2.8451059968226446e-06, + "loss": 0.6066, + "step": 2846 + }, + { + "epoch": 1.3943661971830985, + "grad_norm": 0.3955046236515045, + "learning_rate": 2.8438144357182184e-06, + "loss": 0.6163, + "step": 2847 + }, + { + "epoch": 1.3948560930802205, + "grad_norm": 0.3927251994609833, + "learning_rate": 2.842522781073631e-06, + "loss": 0.6208, + "step": 2848 + }, + { + "epoch": 1.3953459889773423, + "grad_norm": 0.3703012466430664, + "learning_rate": 2.841231033240297e-06, + "loss": 0.6176, + "step": 2849 + }, + { + "epoch": 1.3958358848744643, + "grad_norm": 0.37699779868125916, + "learning_rate": 2.8399391925696555e-06, + "loss": 0.6206, + "step": 2850 + }, + { + "epoch": 1.396325780771586, + "grad_norm": 0.36920681595802307, + "learning_rate": 2.8386472594131753e-06, + "loss": 0.602, + "step": 2851 + }, + { + "epoch": 1.3968156766687079, + "grad_norm": 0.35817697644233704, + "learning_rate": 2.8373552341223443e-06, + "loss": 0.5601, + "step": 2852 + }, + { + "epoch": 1.3973055725658297, + "grad_norm": 0.3633497953414917, + "learning_rate": 2.8360631170486796e-06, + "loss": 0.5948, + "step": 2853 + }, + { + "epoch": 1.3977954684629517, + "grad_norm": 0.3706603944301605, + "learning_rate": 2.8347709085437226e-06, + "loss": 0.5905, + "step": 2854 + }, + { + "epoch": 1.3982853643600734, + "grad_norm": 0.3718709647655487, + "learning_rate": 2.833478608959038e-06, + "loss": 0.6226, + "step": 2855 + }, + { + "epoch": 1.3987752602571955, + "grad_norm": 0.36605626344680786, + "learning_rate": 2.832186218646218e-06, + "loss": 0.5889, + "step": 2856 + }, + { + "epoch": 1.3992651561543172, + "grad_norm": 0.3883413076400757, + "learning_rate": 2.830893737956876e-06, + "loss": 0.6114, + "step": 2857 + }, + { + "epoch": 1.399755052051439, + "grad_norm": 0.3812805414199829, + "learning_rate": 2.8296011672426526e-06, + "loss": 0.6101, + "step": 2858 + }, + { + "epoch": 1.4002449479485608, + "grad_norm": 0.3911382555961609, + "learning_rate": 2.828308506855213e-06, + "loss": 0.5941, + "step": 2859 + }, + { + "epoch": 1.4007348438456828, + "grad_norm": 0.38596826791763306, + "learning_rate": 2.827015757146244e-06, + "loss": 0.6221, + "step": 2860 + }, + { + "epoch": 1.4012247397428046, + "grad_norm": 0.38378649950027466, + "learning_rate": 2.825722918467461e-06, + "loss": 0.618, + "step": 2861 + }, + { + "epoch": 1.4017146356399266, + "grad_norm": 0.36793529987335205, + "learning_rate": 2.8244299911705993e-06, + "loss": 0.6035, + "step": 2862 + }, + { + "epoch": 1.4022045315370484, + "grad_norm": 0.3862881362438202, + "learning_rate": 2.8231369756074206e-06, + "loss": 0.603, + "step": 2863 + }, + { + "epoch": 1.4026944274341702, + "grad_norm": 0.3805314600467682, + "learning_rate": 2.8218438721297114e-06, + "loss": 0.606, + "step": 2864 + }, + { + "epoch": 1.4031843233312922, + "grad_norm": 0.37022513151168823, + "learning_rate": 2.8205506810892797e-06, + "loss": 0.6133, + "step": 2865 + }, + { + "epoch": 1.403674219228414, + "grad_norm": 0.38555312156677246, + "learning_rate": 2.8192574028379592e-06, + "loss": 0.6212, + "step": 2866 + }, + { + "epoch": 1.404164115125536, + "grad_norm": 0.38351285457611084, + "learning_rate": 2.8179640377276066e-06, + "loss": 0.6044, + "step": 2867 + }, + { + "epoch": 1.4046540110226577, + "grad_norm": 0.3865922689437866, + "learning_rate": 2.816670586110102e-06, + "loss": 0.6013, + "step": 2868 + }, + { + "epoch": 1.4051439069197795, + "grad_norm": 0.37360772490501404, + "learning_rate": 2.8153770483373503e-06, + "loss": 0.6199, + "step": 2869 + }, + { + "epoch": 1.4056338028169013, + "grad_norm": 0.3791425824165344, + "learning_rate": 2.814083424761278e-06, + "loss": 0.6247, + "step": 2870 + }, + { + "epoch": 1.4061236987140233, + "grad_norm": 0.37395787239074707, + "learning_rate": 2.8127897157338364e-06, + "loss": 0.5925, + "step": 2871 + }, + { + "epoch": 1.406613594611145, + "grad_norm": 0.3682546019554138, + "learning_rate": 2.811495921607e-06, + "loss": 0.595, + "step": 2872 + }, + { + "epoch": 1.407103490508267, + "grad_norm": 0.37265080213546753, + "learning_rate": 2.8102020427327646e-06, + "loss": 0.6021, + "step": 2873 + }, + { + "epoch": 1.407593386405389, + "grad_norm": 0.3777531385421753, + "learning_rate": 2.8089080794631514e-06, + "loss": 0.5981, + "step": 2874 + }, + { + "epoch": 1.4080832823025107, + "grad_norm": 0.36937999725341797, + "learning_rate": 2.8076140321502036e-06, + "loss": 0.6139, + "step": 2875 + }, + { + "epoch": 1.4085731781996325, + "grad_norm": 0.38771605491638184, + "learning_rate": 2.8063199011459864e-06, + "loss": 0.6186, + "step": 2876 + }, + { + "epoch": 1.4090630740967545, + "grad_norm": 0.3724743723869324, + "learning_rate": 2.8050256868025904e-06, + "loss": 0.603, + "step": 2877 + }, + { + "epoch": 1.4095529699938762, + "grad_norm": 0.36743009090423584, + "learning_rate": 2.8037313894721253e-06, + "loss": 0.6048, + "step": 2878 + }, + { + "epoch": 1.4100428658909983, + "grad_norm": 0.3872925043106079, + "learning_rate": 2.802437009506726e-06, + "loss": 0.5907, + "step": 2879 + }, + { + "epoch": 1.41053276178812, + "grad_norm": 0.3929162323474884, + "learning_rate": 2.8011425472585492e-06, + "loss": 0.6331, + "step": 2880 + }, + { + "epoch": 1.4110226576852418, + "grad_norm": 0.3729579746723175, + "learning_rate": 2.7998480030797736e-06, + "loss": 0.6002, + "step": 2881 + }, + { + "epoch": 1.4115125535823638, + "grad_norm": 0.36990365386009216, + "learning_rate": 2.7985533773226005e-06, + "loss": 0.5751, + "step": 2882 + }, + { + "epoch": 1.4120024494794856, + "grad_norm": 0.3766680955886841, + "learning_rate": 2.797258670339253e-06, + "loss": 0.6352, + "step": 2883 + }, + { + "epoch": 1.4124923453766074, + "grad_norm": 0.36619997024536133, + "learning_rate": 2.7959638824819766e-06, + "loss": 0.5796, + "step": 2884 + }, + { + "epoch": 1.4129822412737294, + "grad_norm": 0.3919089734554291, + "learning_rate": 2.794669014103041e-06, + "loss": 0.6059, + "step": 2885 + }, + { + "epoch": 1.4134721371708512, + "grad_norm": 0.3665609657764435, + "learning_rate": 2.793374065554732e-06, + "loss": 0.6385, + "step": 2886 + }, + { + "epoch": 1.413962033067973, + "grad_norm": 0.3788587749004364, + "learning_rate": 2.792079037189363e-06, + "loss": 0.6152, + "step": 2887 + }, + { + "epoch": 1.414451928965095, + "grad_norm": 0.37502166628837585, + "learning_rate": 2.7907839293592674e-06, + "loss": 0.5883, + "step": 2888 + }, + { + "epoch": 1.4149418248622168, + "grad_norm": 0.3882497251033783, + "learning_rate": 2.7894887424167984e-06, + "loss": 0.61, + "step": 2889 + }, + { + "epoch": 1.4154317207593388, + "grad_norm": 0.38853421807289124, + "learning_rate": 2.7881934767143324e-06, + "loss": 0.6028, + "step": 2890 + }, + { + "epoch": 1.4159216166564605, + "grad_norm": 0.39258575439453125, + "learning_rate": 2.786898132604268e-06, + "loss": 0.6193, + "step": 2891 + }, + { + "epoch": 1.4164115125535823, + "grad_norm": 0.3872513175010681, + "learning_rate": 2.785602710439024e-06, + "loss": 0.6146, + "step": 2892 + }, + { + "epoch": 1.4169014084507041, + "grad_norm": 0.3788449168205261, + "learning_rate": 2.784307210571039e-06, + "loss": 0.5889, + "step": 2893 + }, + { + "epoch": 1.4173913043478261, + "grad_norm": 0.3813857436180115, + "learning_rate": 2.7830116333527753e-06, + "loss": 0.6124, + "step": 2894 + }, + { + "epoch": 1.417881200244948, + "grad_norm": 0.37632039189338684, + "learning_rate": 2.781715979136715e-06, + "loss": 0.6307, + "step": 2895 + }, + { + "epoch": 1.41837109614207, + "grad_norm": 0.38134658336639404, + "learning_rate": 2.780420248275362e-06, + "loss": 0.6276, + "step": 2896 + }, + { + "epoch": 1.4188609920391917, + "grad_norm": 0.3767978847026825, + "learning_rate": 2.7791244411212386e-06, + "loss": 0.6106, + "step": 2897 + }, + { + "epoch": 1.4193508879363135, + "grad_norm": 0.3693838119506836, + "learning_rate": 2.7778285580268915e-06, + "loss": 0.6026, + "step": 2898 + }, + { + "epoch": 1.4198407838334353, + "grad_norm": 0.39055579900741577, + "learning_rate": 2.776532599344886e-06, + "loss": 0.6134, + "step": 2899 + }, + { + "epoch": 1.4203306797305573, + "grad_norm": 0.39288532733917236, + "learning_rate": 2.775236565427808e-06, + "loss": 0.6169, + "step": 2900 + }, + { + "epoch": 1.420820575627679, + "grad_norm": 0.3835054337978363, + "learning_rate": 2.773940456628263e-06, + "loss": 0.6151, + "step": 2901 + }, + { + "epoch": 1.421310471524801, + "grad_norm": 0.3809618353843689, + "learning_rate": 2.772644273298879e-06, + "loss": 0.6004, + "step": 2902 + }, + { + "epoch": 1.4218003674219228, + "grad_norm": 0.38406264781951904, + "learning_rate": 2.771348015792303e-06, + "loss": 0.6119, + "step": 2903 + }, + { + "epoch": 1.4222902633190446, + "grad_norm": 0.38602474331855774, + "learning_rate": 2.7700516844612023e-06, + "loss": 0.6329, + "step": 2904 + }, + { + "epoch": 1.4227801592161666, + "grad_norm": 0.39120930433273315, + "learning_rate": 2.7687552796582646e-06, + "loss": 0.6176, + "step": 2905 + }, + { + "epoch": 1.4232700551132884, + "grad_norm": 0.3906676769256592, + "learning_rate": 2.7674588017361975e-06, + "loss": 0.6151, + "step": 2906 + }, + { + "epoch": 1.4237599510104104, + "grad_norm": 0.3711986541748047, + "learning_rate": 2.766162251047727e-06, + "loss": 0.6111, + "step": 2907 + }, + { + "epoch": 1.4242498469075322, + "grad_norm": 0.4000615179538727, + "learning_rate": 2.7648656279456017e-06, + "loss": 0.6053, + "step": 2908 + }, + { + "epoch": 1.424739742804654, + "grad_norm": 0.3857482373714447, + "learning_rate": 2.763568932782588e-06, + "loss": 0.5941, + "step": 2909 + }, + { + "epoch": 1.4252296387017758, + "grad_norm": 0.3733859658241272, + "learning_rate": 2.7622721659114726e-06, + "loss": 0.617, + "step": 2910 + }, + { + "epoch": 1.4257195345988978, + "grad_norm": 0.3754366338253021, + "learning_rate": 2.760975327685061e-06, + "loss": 0.6032, + "step": 2911 + }, + { + "epoch": 1.4262094304960196, + "grad_norm": 0.389008104801178, + "learning_rate": 2.7596784184561788e-06, + "loss": 0.6179, + "step": 2912 + }, + { + "epoch": 1.4266993263931416, + "grad_norm": 0.37733665108680725, + "learning_rate": 2.7583814385776705e-06, + "loss": 0.6126, + "step": 2913 + }, + { + "epoch": 1.4271892222902633, + "grad_norm": 0.3933860957622528, + "learning_rate": 2.7570843884024007e-06, + "loss": 0.5775, + "step": 2914 + }, + { + "epoch": 1.4276791181873851, + "grad_norm": 0.39295002818107605, + "learning_rate": 2.755787268283251e-06, + "loss": 0.5699, + "step": 2915 + }, + { + "epoch": 1.428169014084507, + "grad_norm": 0.38224342465400696, + "learning_rate": 2.754490078573125e-06, + "loss": 0.597, + "step": 2916 + }, + { + "epoch": 1.428658909981629, + "grad_norm": 0.37369996309280396, + "learning_rate": 2.753192819624943e-06, + "loss": 0.63, + "step": 2917 + }, + { + "epoch": 1.4291488058787507, + "grad_norm": 0.37299516797065735, + "learning_rate": 2.751895491791645e-06, + "loss": 0.6049, + "step": 2918 + }, + { + "epoch": 1.4296387017758727, + "grad_norm": 0.3756127655506134, + "learning_rate": 2.75059809542619e-06, + "loss": 0.5997, + "step": 2919 + }, + { + "epoch": 1.4301285976729945, + "grad_norm": 0.3664529323577881, + "learning_rate": 2.7493006308815547e-06, + "loss": 0.5796, + "step": 2920 + }, + { + "epoch": 1.4306184935701163, + "grad_norm": 0.3801397383213043, + "learning_rate": 2.7480030985107336e-06, + "loss": 0.6019, + "step": 2921 + }, + { + "epoch": 1.4311083894672383, + "grad_norm": 0.4170423746109009, + "learning_rate": 2.7467054986667442e-06, + "loss": 0.6039, + "step": 2922 + }, + { + "epoch": 1.43159828536436, + "grad_norm": 0.365573912858963, + "learning_rate": 2.7454078317026157e-06, + "loss": 0.6025, + "step": 2923 + }, + { + "epoch": 1.432088181261482, + "grad_norm": 0.3792261481285095, + "learning_rate": 2.744110097971401e-06, + "loss": 0.5973, + "step": 2924 + }, + { + "epoch": 1.4325780771586039, + "grad_norm": 0.36483731865882874, + "learning_rate": 2.742812297826168e-06, + "loss": 0.603, + "step": 2925 + }, + { + "epoch": 1.4330679730557256, + "grad_norm": 0.3841966688632965, + "learning_rate": 2.7415144316200047e-06, + "loss": 0.5825, + "step": 2926 + }, + { + "epoch": 1.4335578689528474, + "grad_norm": 0.3708122968673706, + "learning_rate": 2.7402164997060154e-06, + "loss": 0.6076, + "step": 2927 + }, + { + "epoch": 1.4340477648499694, + "grad_norm": 0.39493831992149353, + "learning_rate": 2.7389185024373237e-06, + "loss": 0.6118, + "step": 2928 + }, + { + "epoch": 1.4345376607470912, + "grad_norm": 0.37086158990859985, + "learning_rate": 2.73762044016707e-06, + "loss": 0.5904, + "step": 2929 + }, + { + "epoch": 1.4350275566442132, + "grad_norm": 0.37141677737236023, + "learning_rate": 2.736322313248413e-06, + "loss": 0.5987, + "step": 2930 + }, + { + "epoch": 1.435517452541335, + "grad_norm": 0.3854909837245941, + "learning_rate": 2.7350241220345273e-06, + "loss": 0.5911, + "step": 2931 + }, + { + "epoch": 1.4360073484384568, + "grad_norm": 0.36197811365127563, + "learning_rate": 2.733725866878608e-06, + "loss": 0.6227, + "step": 2932 + }, + { + "epoch": 1.4364972443355786, + "grad_norm": 0.3875086009502411, + "learning_rate": 2.732427548133866e-06, + "loss": 0.5861, + "step": 2933 + }, + { + "epoch": 1.4369871402327006, + "grad_norm": 0.3822346031665802, + "learning_rate": 2.7311291661535282e-06, + "loss": 0.6168, + "step": 2934 + }, + { + "epoch": 1.4374770361298224, + "grad_norm": 0.3771184980869293, + "learning_rate": 2.729830721290841e-06, + "loss": 0.6029, + "step": 2935 + }, + { + "epoch": 1.4379669320269444, + "grad_norm": 0.37670984864234924, + "learning_rate": 2.7285322138990663e-06, + "loss": 0.6122, + "step": 2936 + }, + { + "epoch": 1.4384568279240662, + "grad_norm": 0.37704482674598694, + "learning_rate": 2.7272336443314834e-06, + "loss": 0.6085, + "step": 2937 + }, + { + "epoch": 1.438946723821188, + "grad_norm": 0.3743836283683777, + "learning_rate": 2.7259350129413903e-06, + "loss": 0.6205, + "step": 2938 + }, + { + "epoch": 1.43943661971831, + "grad_norm": 0.38289961218833923, + "learning_rate": 2.724636320082098e-06, + "loss": 0.6282, + "step": 2939 + }, + { + "epoch": 1.4399265156154317, + "grad_norm": 0.38723260164260864, + "learning_rate": 2.7233375661069383e-06, + "loss": 0.5916, + "step": 2940 + }, + { + "epoch": 1.4404164115125535, + "grad_norm": 0.3646089434623718, + "learning_rate": 2.722038751369257e-06, + "loss": 0.5993, + "step": 2941 + }, + { + "epoch": 1.4409063074096755, + "grad_norm": 0.3884943425655365, + "learning_rate": 2.7207398762224167e-06, + "loss": 0.5886, + "step": 2942 + }, + { + "epoch": 1.4413962033067973, + "grad_norm": 0.38227176666259766, + "learning_rate": 2.719440941019798e-06, + "loss": 0.5897, + "step": 2943 + }, + { + "epoch": 1.441886099203919, + "grad_norm": 0.3834843337535858, + "learning_rate": 2.718141946114796e-06, + "loss": 0.5972, + "step": 2944 + }, + { + "epoch": 1.442375995101041, + "grad_norm": 0.37699559330940247, + "learning_rate": 2.716842891860823e-06, + "loss": 0.5743, + "step": 2945 + }, + { + "epoch": 1.4428658909981629, + "grad_norm": 0.35504376888275146, + "learning_rate": 2.7155437786113086e-06, + "loss": 0.5953, + "step": 2946 + }, + { + "epoch": 1.4433557868952849, + "grad_norm": 0.37928304076194763, + "learning_rate": 2.7142446067196943e-06, + "loss": 0.5897, + "step": 2947 + }, + { + "epoch": 1.4438456827924067, + "grad_norm": 0.3650045394897461, + "learning_rate": 2.7129453765394437e-06, + "loss": 0.6264, + "step": 2948 + }, + { + "epoch": 1.4443355786895284, + "grad_norm": 0.38881468772888184, + "learning_rate": 2.7116460884240297e-06, + "loss": 0.6051, + "step": 2949 + }, + { + "epoch": 1.4448254745866502, + "grad_norm": 0.3933098018169403, + "learning_rate": 2.7103467427269466e-06, + "loss": 0.5996, + "step": 2950 + }, + { + "epoch": 1.4453153704837722, + "grad_norm": 0.3863832652568817, + "learning_rate": 2.7090473398017016e-06, + "loss": 0.6164, + "step": 2951 + }, + { + "epoch": 1.445805266380894, + "grad_norm": 0.37478193640708923, + "learning_rate": 2.7077478800018164e-06, + "loss": 0.6003, + "step": 2952 + }, + { + "epoch": 1.446295162278016, + "grad_norm": 0.37302860617637634, + "learning_rate": 2.7064483636808314e-06, + "loss": 0.6112, + "step": 2953 + }, + { + "epoch": 1.4467850581751378, + "grad_norm": 0.3810713291168213, + "learning_rate": 2.705148791192299e-06, + "loss": 0.5812, + "step": 2954 + }, + { + "epoch": 1.4472749540722596, + "grad_norm": 0.3707766532897949, + "learning_rate": 2.70384916288979e-06, + "loss": 0.5897, + "step": 2955 + }, + { + "epoch": 1.4477648499693814, + "grad_norm": 0.37362977862358093, + "learning_rate": 2.702549479126888e-06, + "loss": 0.6014, + "step": 2956 + }, + { + "epoch": 1.4482547458665034, + "grad_norm": 0.3838103711605072, + "learning_rate": 2.701249740257193e-06, + "loss": 0.5965, + "step": 2957 + }, + { + "epoch": 1.4487446417636252, + "grad_norm": 0.365136981010437, + "learning_rate": 2.6999499466343183e-06, + "loss": 0.5859, + "step": 2958 + }, + { + "epoch": 1.4492345376607472, + "grad_norm": 0.3772057294845581, + "learning_rate": 2.698650098611895e-06, + "loss": 0.6133, + "step": 2959 + }, + { + "epoch": 1.449724433557869, + "grad_norm": 0.3693401515483856, + "learning_rate": 2.697350196543566e-06, + "loss": 0.6116, + "step": 2960 + }, + { + "epoch": 1.4502143294549907, + "grad_norm": 0.38943547010421753, + "learning_rate": 2.696050240782992e-06, + "loss": 0.6123, + "step": 2961 + }, + { + "epoch": 1.4507042253521127, + "grad_norm": 0.3750689625740051, + "learning_rate": 2.694750231683845e-06, + "loss": 0.6379, + "step": 2962 + }, + { + "epoch": 1.4511941212492345, + "grad_norm": 0.3848726749420166, + "learning_rate": 2.693450169599813e-06, + "loss": 0.5797, + "step": 2963 + }, + { + "epoch": 1.4516840171463565, + "grad_norm": 0.36601418256759644, + "learning_rate": 2.692150054884599e-06, + "loss": 0.6216, + "step": 2964 + }, + { + "epoch": 1.4521739130434783, + "grad_norm": 0.3908337950706482, + "learning_rate": 2.6908498878919197e-06, + "loss": 0.599, + "step": 2965 + }, + { + "epoch": 1.4526638089406, + "grad_norm": 0.37506020069122314, + "learning_rate": 2.6895496689755063e-06, + "loss": 0.6044, + "step": 2966 + }, + { + "epoch": 1.4531537048377219, + "grad_norm": 0.4033137261867523, + "learning_rate": 2.6882493984891046e-06, + "loss": 0.6032, + "step": 2967 + }, + { + "epoch": 1.4536436007348439, + "grad_norm": 0.48113885521888733, + "learning_rate": 2.6869490767864716e-06, + "loss": 0.5909, + "step": 2968 + }, + { + "epoch": 1.4541334966319657, + "grad_norm": 0.36403688788414, + "learning_rate": 2.6856487042213825e-06, + "loss": 0.6192, + "step": 2969 + }, + { + "epoch": 1.4546233925290877, + "grad_norm": 0.38091564178466797, + "learning_rate": 2.6843482811476234e-06, + "loss": 0.619, + "step": 2970 + }, + { + "epoch": 1.4551132884262095, + "grad_norm": 0.40988150238990784, + "learning_rate": 2.6830478079189955e-06, + "loss": 0.5776, + "step": 2971 + }, + { + "epoch": 1.4556031843233312, + "grad_norm": 0.39458540081977844, + "learning_rate": 2.6817472848893123e-06, + "loss": 0.6089, + "step": 2972 + }, + { + "epoch": 1.456093080220453, + "grad_norm": 0.35514914989471436, + "learning_rate": 2.6804467124124024e-06, + "loss": 0.5875, + "step": 2973 + }, + { + "epoch": 1.456582976117575, + "grad_norm": 0.3787422478199005, + "learning_rate": 2.679146090842106e-06, + "loss": 0.5946, + "step": 2974 + }, + { + "epoch": 1.4570728720146968, + "grad_norm": 0.39712896943092346, + "learning_rate": 2.6778454205322806e-06, + "loss": 0.6096, + "step": 2975 + }, + { + "epoch": 1.4575627679118188, + "grad_norm": 0.35533639788627625, + "learning_rate": 2.6765447018367906e-06, + "loss": 0.5952, + "step": 2976 + }, + { + "epoch": 1.4580526638089406, + "grad_norm": 0.40729203820228577, + "learning_rate": 2.6752439351095193e-06, + "loss": 0.6103, + "step": 2977 + }, + { + "epoch": 1.4585425597060624, + "grad_norm": 0.3656238317489624, + "learning_rate": 2.673943120704361e-06, + "loss": 0.6123, + "step": 2978 + }, + { + "epoch": 1.4590324556031844, + "grad_norm": 0.39139360189437866, + "learning_rate": 2.6726422589752215e-06, + "loss": 0.6067, + "step": 2979 + }, + { + "epoch": 1.4595223515003062, + "grad_norm": 0.3742392361164093, + "learning_rate": 2.671341350276022e-06, + "loss": 0.6164, + "step": 2980 + }, + { + "epoch": 1.460012247397428, + "grad_norm": 0.36850470304489136, + "learning_rate": 2.670040394960694e-06, + "loss": 0.6197, + "step": 2981 + }, + { + "epoch": 1.46050214329455, + "grad_norm": 0.38784098625183105, + "learning_rate": 2.668739393383184e-06, + "loss": 0.5923, + "step": 2982 + }, + { + "epoch": 1.4609920391916718, + "grad_norm": 0.37771469354629517, + "learning_rate": 2.6674383458974506e-06, + "loss": 0.6016, + "step": 2983 + }, + { + "epoch": 1.4614819350887935, + "grad_norm": 0.39336955547332764, + "learning_rate": 2.666137252857463e-06, + "loss": 0.6332, + "step": 2984 + }, + { + "epoch": 1.4619718309859155, + "grad_norm": 0.37863728404045105, + "learning_rate": 2.6648361146172065e-06, + "loss": 0.6081, + "step": 2985 + }, + { + "epoch": 1.4624617268830373, + "grad_norm": 0.3723286986351013, + "learning_rate": 2.6635349315306723e-06, + "loss": 0.6164, + "step": 2986 + }, + { + "epoch": 1.4629516227801593, + "grad_norm": 0.3797610104084015, + "learning_rate": 2.662233703951872e-06, + "loss": 0.5896, + "step": 2987 + }, + { + "epoch": 1.4634415186772811, + "grad_norm": 0.3867309093475342, + "learning_rate": 2.660932432234823e-06, + "loss": 0.5916, + "step": 2988 + }, + { + "epoch": 1.463931414574403, + "grad_norm": 0.3751842975616455, + "learning_rate": 2.659631116733557e-06, + "loss": 0.6189, + "step": 2989 + }, + { + "epoch": 1.4644213104715247, + "grad_norm": 0.384628564119339, + "learning_rate": 2.6583297578021185e-06, + "loss": 0.6127, + "step": 2990 + }, + { + "epoch": 1.4649112063686467, + "grad_norm": 0.3881283402442932, + "learning_rate": 2.6570283557945616e-06, + "loss": 0.5891, + "step": 2991 + }, + { + "epoch": 1.4654011022657685, + "grad_norm": 0.3613741993904114, + "learning_rate": 2.6557269110649536e-06, + "loss": 0.6037, + "step": 2992 + }, + { + "epoch": 1.4658909981628905, + "grad_norm": 0.3738139569759369, + "learning_rate": 2.6544254239673743e-06, + "loss": 0.5955, + "step": 2993 + }, + { + "epoch": 1.4663808940600123, + "grad_norm": 0.38615894317626953, + "learning_rate": 2.6531238948559117e-06, + "loss": 0.6094, + "step": 2994 + }, + { + "epoch": 1.466870789957134, + "grad_norm": 0.37896928191185, + "learning_rate": 2.6518223240846697e-06, + "loss": 0.6139, + "step": 2995 + }, + { + "epoch": 1.467360685854256, + "grad_norm": 0.37880244851112366, + "learning_rate": 2.65052071200776e-06, + "loss": 0.5951, + "step": 2996 + }, + { + "epoch": 1.4678505817513778, + "grad_norm": 0.38066667318344116, + "learning_rate": 2.649219058979307e-06, + "loss": 0.6012, + "step": 2997 + }, + { + "epoch": 1.4683404776484996, + "grad_norm": 0.37800735235214233, + "learning_rate": 2.6479173653534464e-06, + "loss": 0.6179, + "step": 2998 + }, + { + "epoch": 1.4688303735456216, + "grad_norm": 0.38159361481666565, + "learning_rate": 2.646615631484324e-06, + "loss": 0.6184, + "step": 2999 + }, + { + "epoch": 1.4693202694427434, + "grad_norm": 0.3839819133281708, + "learning_rate": 2.6453138577260966e-06, + "loss": 0.6191, + "step": 3000 + }, + { + "epoch": 1.4698101653398652, + "grad_norm": 0.38135480880737305, + "learning_rate": 2.6440120444329343e-06, + "loss": 0.6005, + "step": 3001 + }, + { + "epoch": 1.4703000612369872, + "grad_norm": 0.384238600730896, + "learning_rate": 2.642710191959013e-06, + "loss": 0.5618, + "step": 3002 + }, + { + "epoch": 1.470789957134109, + "grad_norm": 0.38105541467666626, + "learning_rate": 2.6414083006585256e-06, + "loss": 0.5947, + "step": 3003 + }, + { + "epoch": 1.471279853031231, + "grad_norm": 0.39101988077163696, + "learning_rate": 2.64010637088567e-06, + "loss": 0.5918, + "step": 3004 + }, + { + "epoch": 1.4717697489283528, + "grad_norm": 0.38539278507232666, + "learning_rate": 2.6388044029946582e-06, + "loss": 0.6031, + "step": 3005 + }, + { + "epoch": 1.4722596448254746, + "grad_norm": 0.360810250043869, + "learning_rate": 2.63750239733971e-06, + "loss": 0.6344, + "step": 3006 + }, + { + "epoch": 1.4727495407225963, + "grad_norm": 0.37202948331832886, + "learning_rate": 2.636200354275057e-06, + "loss": 0.5968, + "step": 3007 + }, + { + "epoch": 1.4732394366197183, + "grad_norm": 0.3922572433948517, + "learning_rate": 2.634898274154941e-06, + "loss": 0.6182, + "step": 3008 + }, + { + "epoch": 1.4737293325168401, + "grad_norm": 0.39218562841415405, + "learning_rate": 2.6335961573336137e-06, + "loss": 0.6031, + "step": 3009 + }, + { + "epoch": 1.4742192284139621, + "grad_norm": 0.37565967440605164, + "learning_rate": 2.6322940041653354e-06, + "loss": 0.5886, + "step": 3010 + }, + { + "epoch": 1.474709124311084, + "grad_norm": 0.38503000140190125, + "learning_rate": 2.630991815004379e-06, + "loss": 0.624, + "step": 3011 + }, + { + "epoch": 1.4751990202082057, + "grad_norm": 0.39792394638061523, + "learning_rate": 2.6296895902050245e-06, + "loss": 0.6036, + "step": 3012 + }, + { + "epoch": 1.4756889161053275, + "grad_norm": 0.3575020134449005, + "learning_rate": 2.6283873301215633e-06, + "loss": 0.6114, + "step": 3013 + }, + { + "epoch": 1.4761788120024495, + "grad_norm": 0.37908491492271423, + "learning_rate": 2.627085035108297e-06, + "loss": 0.6422, + "step": 3014 + }, + { + "epoch": 1.4766687078995713, + "grad_norm": 0.3908796012401581, + "learning_rate": 2.625782705519533e-06, + "loss": 0.5997, + "step": 3015 + }, + { + "epoch": 1.4771586037966933, + "grad_norm": 0.36062321066856384, + "learning_rate": 2.6244803417095927e-06, + "loss": 0.608, + "step": 3016 + }, + { + "epoch": 1.477648499693815, + "grad_norm": 0.378936767578125, + "learning_rate": 2.623177944032804e-06, + "loss": 0.6141, + "step": 3017 + }, + { + "epoch": 1.4781383955909368, + "grad_norm": 0.38280826807022095, + "learning_rate": 2.6218755128435054e-06, + "loss": 0.6041, + "step": 3018 + }, + { + "epoch": 1.4786282914880589, + "grad_norm": 0.4010486602783203, + "learning_rate": 2.6205730484960424e-06, + "loss": 0.6111, + "step": 3019 + }, + { + "epoch": 1.4791181873851806, + "grad_norm": 0.36812731623649597, + "learning_rate": 2.6192705513447734e-06, + "loss": 0.59, + "step": 3020 + }, + { + "epoch": 1.4796080832823026, + "grad_norm": 0.37848299741744995, + "learning_rate": 2.617968021744062e-06, + "loss": 0.6074, + "step": 3021 + }, + { + "epoch": 1.4800979791794244, + "grad_norm": 0.3800462782382965, + "learning_rate": 2.616665460048282e-06, + "loss": 0.5901, + "step": 3022 + }, + { + "epoch": 1.4805878750765462, + "grad_norm": 0.3942756950855255, + "learning_rate": 2.615362866611816e-06, + "loss": 0.6099, + "step": 3023 + }, + { + "epoch": 1.481077770973668, + "grad_norm": 0.39692381024360657, + "learning_rate": 2.6140602417890554e-06, + "loss": 0.5935, + "step": 3024 + }, + { + "epoch": 1.48156766687079, + "grad_norm": 0.39607760310173035, + "learning_rate": 2.6127575859344e-06, + "loss": 0.6261, + "step": 3025 + }, + { + "epoch": 1.4820575627679118, + "grad_norm": 0.3880234956741333, + "learning_rate": 2.6114548994022575e-06, + "loss": 0.5971, + "step": 3026 + }, + { + "epoch": 1.4825474586650338, + "grad_norm": 0.36455202102661133, + "learning_rate": 2.6101521825470444e-06, + "loss": 0.5952, + "step": 3027 + }, + { + "epoch": 1.4830373545621556, + "grad_norm": 0.3775348365306854, + "learning_rate": 2.6088494357231868e-06, + "loss": 0.6066, + "step": 3028 + }, + { + "epoch": 1.4835272504592774, + "grad_norm": 0.3817596137523651, + "learning_rate": 2.607546659285115e-06, + "loss": 0.5938, + "step": 3029 + }, + { + "epoch": 1.4840171463563991, + "grad_norm": 0.387471467256546, + "learning_rate": 2.6062438535872732e-06, + "loss": 0.6028, + "step": 3030 + }, + { + "epoch": 1.4845070422535211, + "grad_norm": 0.39214348793029785, + "learning_rate": 2.6049410189841068e-06, + "loss": 0.5995, + "step": 3031 + }, + { + "epoch": 1.484996938150643, + "grad_norm": 0.3823483884334564, + "learning_rate": 2.6036381558300753e-06, + "loss": 0.6232, + "step": 3032 + }, + { + "epoch": 1.485486834047765, + "grad_norm": 0.36673206090927124, + "learning_rate": 2.6023352644796422e-06, + "loss": 0.5952, + "step": 3033 + }, + { + "epoch": 1.4859767299448867, + "grad_norm": 0.422594279050827, + "learning_rate": 2.6010323452872806e-06, + "loss": 0.6312, + "step": 3034 + }, + { + "epoch": 1.4864666258420085, + "grad_norm": 0.36859795451164246, + "learning_rate": 2.5997293986074683e-06, + "loss": 0.6041, + "step": 3035 + }, + { + "epoch": 1.4869565217391305, + "grad_norm": 0.3832027316093445, + "learning_rate": 2.5984264247946945e-06, + "loss": 0.6156, + "step": 3036 + }, + { + "epoch": 1.4874464176362523, + "grad_norm": 0.3923305571079254, + "learning_rate": 2.5971234242034526e-06, + "loss": 0.5976, + "step": 3037 + }, + { + "epoch": 1.487936313533374, + "grad_norm": 0.38636404275894165, + "learning_rate": 2.5958203971882463e-06, + "loss": 0.6285, + "step": 3038 + }, + { + "epoch": 1.488426209430496, + "grad_norm": 0.39923685789108276, + "learning_rate": 2.594517344103582e-06, + "loss": 0.6176, + "step": 3039 + }, + { + "epoch": 1.4889161053276179, + "grad_norm": 0.3765796422958374, + "learning_rate": 2.593214265303979e-06, + "loss": 0.5848, + "step": 3040 + }, + { + "epoch": 1.4894060012247397, + "grad_norm": 0.38221481442451477, + "learning_rate": 2.5919111611439578e-06, + "loss": 0.645, + "step": 3041 + }, + { + "epoch": 1.4898958971218617, + "grad_norm": 0.3854798972606659, + "learning_rate": 2.590608031978051e-06, + "loss": 0.6227, + "step": 3042 + }, + { + "epoch": 1.4903857930189834, + "grad_norm": 0.38572826981544495, + "learning_rate": 2.589304878160793e-06, + "loss": 0.5956, + "step": 3043 + }, + { + "epoch": 1.4908756889161054, + "grad_norm": 0.3839409351348877, + "learning_rate": 2.5880017000467294e-06, + "loss": 0.5906, + "step": 3044 + }, + { + "epoch": 1.4913655848132272, + "grad_norm": 0.3826596140861511, + "learning_rate": 2.586698497990409e-06, + "loss": 0.5724, + "step": 3045 + }, + { + "epoch": 1.491855480710349, + "grad_norm": 0.37840595841407776, + "learning_rate": 2.5853952723463904e-06, + "loss": 0.6146, + "step": 3046 + }, + { + "epoch": 1.4923453766074708, + "grad_norm": 0.3743739128112793, + "learning_rate": 2.5840920234692346e-06, + "loss": 0.6214, + "step": 3047 + }, + { + "epoch": 1.4928352725045928, + "grad_norm": 0.37532106041908264, + "learning_rate": 2.582788751713513e-06, + "loss": 0.6042, + "step": 3048 + }, + { + "epoch": 1.4933251684017146, + "grad_norm": 0.36692261695861816, + "learning_rate": 2.5814854574338006e-06, + "loss": 0.583, + "step": 3049 + }, + { + "epoch": 1.4938150642988366, + "grad_norm": 0.3698928952217102, + "learning_rate": 2.5801821409846782e-06, + "loss": 0.6032, + "step": 3050 + }, + { + "epoch": 1.4943049601959584, + "grad_norm": 0.37219226360321045, + "learning_rate": 2.5788788027207356e-06, + "loss": 0.6006, + "step": 3051 + }, + { + "epoch": 1.4947948560930802, + "grad_norm": 0.3704732656478882, + "learning_rate": 2.577575442996565e-06, + "loss": 0.5687, + "step": 3052 + }, + { + "epoch": 1.495284751990202, + "grad_norm": 0.3803616464138031, + "learning_rate": 2.5762720621667663e-06, + "loss": 0.5694, + "step": 3053 + }, + { + "epoch": 1.495774647887324, + "grad_norm": 0.3676424026489258, + "learning_rate": 2.574968660585946e-06, + "loss": 0.6244, + "step": 3054 + }, + { + "epoch": 1.4962645437844457, + "grad_norm": 0.3995633125305176, + "learning_rate": 2.5736652386087142e-06, + "loss": 0.5906, + "step": 3055 + }, + { + "epoch": 1.4967544396815677, + "grad_norm": 0.39240244030952454, + "learning_rate": 2.5723617965896874e-06, + "loss": 0.5902, + "step": 3056 + }, + { + "epoch": 1.4972443355786895, + "grad_norm": 0.384977251291275, + "learning_rate": 2.5710583348834885e-06, + "loss": 0.6146, + "step": 3057 + }, + { + "epoch": 1.4977342314758113, + "grad_norm": 0.3904308080673218, + "learning_rate": 2.5697548538447442e-06, + "loss": 0.6149, + "step": 3058 + }, + { + "epoch": 1.4982241273729333, + "grad_norm": 0.41102132201194763, + "learning_rate": 2.568451353828087e-06, + "loss": 0.6103, + "step": 3059 + }, + { + "epoch": 1.498714023270055, + "grad_norm": 0.37487268447875977, + "learning_rate": 2.5671478351881556e-06, + "loss": 0.6394, + "step": 3060 + }, + { + "epoch": 1.499203919167177, + "grad_norm": 0.372281014919281, + "learning_rate": 2.565844298279591e-06, + "loss": 0.6327, + "step": 3061 + }, + { + "epoch": 1.4996938150642989, + "grad_norm": 0.38486576080322266, + "learning_rate": 2.564540743457044e-06, + "loss": 0.6057, + "step": 3062 + }, + { + "epoch": 1.5001837109614207, + "grad_norm": 0.36570125818252563, + "learning_rate": 2.5632371710751646e-06, + "loss": 0.6, + "step": 3063 + }, + { + "epoch": 1.5006736068585425, + "grad_norm": 0.3785949647426605, + "learning_rate": 2.561933581488612e-06, + "loss": 0.6307, + "step": 3064 + }, + { + "epoch": 1.5011635027556645, + "grad_norm": 0.404352068901062, + "learning_rate": 2.5606299750520473e-06, + "loss": 0.6085, + "step": 3065 + }, + { + "epoch": 1.5016533986527862, + "grad_norm": 0.3733040988445282, + "learning_rate": 2.559326352120138e-06, + "loss": 0.5891, + "step": 3066 + }, + { + "epoch": 1.5021432945499082, + "grad_norm": 0.37087732553482056, + "learning_rate": 2.5580227130475554e-06, + "loss": 0.6145, + "step": 3067 + }, + { + "epoch": 1.50263319044703, + "grad_norm": 0.3724510967731476, + "learning_rate": 2.5567190581889746e-06, + "loss": 0.6013, + "step": 3068 + }, + { + "epoch": 1.5031230863441518, + "grad_norm": 0.3772727847099304, + "learning_rate": 2.5554153878990756e-06, + "loss": 0.5987, + "step": 3069 + }, + { + "epoch": 1.5036129822412736, + "grad_norm": 0.3845331370830536, + "learning_rate": 2.5541117025325433e-06, + "loss": 0.5995, + "step": 3070 + }, + { + "epoch": 1.5041028781383956, + "grad_norm": 0.3897918164730072, + "learning_rate": 2.552808002444065e-06, + "loss": 0.6217, + "step": 3071 + }, + { + "epoch": 1.5045927740355176, + "grad_norm": 0.3771613836288452, + "learning_rate": 2.5515042879883338e-06, + "loss": 0.6016, + "step": 3072 + }, + { + "epoch": 1.5050826699326394, + "grad_norm": 0.36798742413520813, + "learning_rate": 2.5502005595200454e-06, + "loss": 0.6214, + "step": 3073 + }, + { + "epoch": 1.5055725658297612, + "grad_norm": 0.38061511516571045, + "learning_rate": 2.548896817393899e-06, + "loss": 0.596, + "step": 3074 + }, + { + "epoch": 1.506062461726883, + "grad_norm": 0.37553098797798157, + "learning_rate": 2.5475930619646e-06, + "loss": 0.5851, + "step": 3075 + }, + { + "epoch": 1.5065523576240047, + "grad_norm": 0.3840992748737335, + "learning_rate": 2.546289293586855e-06, + "loss": 0.6186, + "step": 3076 + }, + { + "epoch": 1.5070422535211268, + "grad_norm": 0.381019651889801, + "learning_rate": 2.5449855126153743e-06, + "loss": 0.6152, + "step": 3077 + }, + { + "epoch": 1.5075321494182488, + "grad_norm": 0.3726680874824524, + "learning_rate": 2.5436817194048726e-06, + "loss": 0.6044, + "step": 3078 + }, + { + "epoch": 1.5080220453153705, + "grad_norm": 0.37449902296066284, + "learning_rate": 2.5423779143100667e-06, + "loss": 0.5905, + "step": 3079 + }, + { + "epoch": 1.5085119412124923, + "grad_norm": 0.4042069613933563, + "learning_rate": 2.541074097685679e-06, + "loss": 0.6284, + "step": 3080 + }, + { + "epoch": 1.509001837109614, + "grad_norm": 0.39054927229881287, + "learning_rate": 2.5397702698864325e-06, + "loss": 0.5931, + "step": 3081 + }, + { + "epoch": 1.5094917330067361, + "grad_norm": 0.37433475255966187, + "learning_rate": 2.5384664312670536e-06, + "loss": 0.5938, + "step": 3082 + }, + { + "epoch": 1.509981628903858, + "grad_norm": 0.3658234775066376, + "learning_rate": 2.5371625821822743e-06, + "loss": 0.6138, + "step": 3083 + }, + { + "epoch": 1.51047152480098, + "grad_norm": 0.3804280161857605, + "learning_rate": 2.5358587229868244e-06, + "loss": 0.5972, + "step": 3084 + }, + { + "epoch": 1.5109614206981017, + "grad_norm": 0.36489051580429077, + "learning_rate": 2.534554854035442e-06, + "loss": 0.6244, + "step": 3085 + }, + { + "epoch": 1.5114513165952235, + "grad_norm": 0.3792204260826111, + "learning_rate": 2.5332509756828645e-06, + "loss": 0.6052, + "step": 3086 + }, + { + "epoch": 1.5119412124923453, + "grad_norm": 0.379238486289978, + "learning_rate": 2.5319470882838323e-06, + "loss": 0.6048, + "step": 3087 + }, + { + "epoch": 1.5124311083894673, + "grad_norm": 0.38479000329971313, + "learning_rate": 2.5306431921930887e-06, + "loss": 0.6058, + "step": 3088 + }, + { + "epoch": 1.5129210042865893, + "grad_norm": 0.38450708985328674, + "learning_rate": 2.5293392877653794e-06, + "loss": 0.6179, + "step": 3089 + }, + { + "epoch": 1.513410900183711, + "grad_norm": 0.3941752016544342, + "learning_rate": 2.5280353753554513e-06, + "loss": 0.5944, + "step": 3090 + }, + { + "epoch": 1.5139007960808328, + "grad_norm": 0.3864399492740631, + "learning_rate": 2.5267314553180572e-06, + "loss": 0.6174, + "step": 3091 + }, + { + "epoch": 1.5143906919779546, + "grad_norm": 0.3922727406024933, + "learning_rate": 2.525427528007946e-06, + "loss": 0.6288, + "step": 3092 + }, + { + "epoch": 1.5148805878750764, + "grad_norm": 0.3821306824684143, + "learning_rate": 2.5241235937798734e-06, + "loss": 0.5771, + "step": 3093 + }, + { + "epoch": 1.5153704837721984, + "grad_norm": 0.3872530460357666, + "learning_rate": 2.522819652988596e-06, + "loss": 0.6098, + "step": 3094 + }, + { + "epoch": 1.5158603796693204, + "grad_norm": 0.37561407685279846, + "learning_rate": 2.52151570598887e-06, + "loss": 0.6078, + "step": 3095 + }, + { + "epoch": 1.5163502755664422, + "grad_norm": 0.3936667740345001, + "learning_rate": 2.520211753135455e-06, + "loss": 0.6215, + "step": 3096 + }, + { + "epoch": 1.516840171463564, + "grad_norm": 0.38491031527519226, + "learning_rate": 2.518907794783113e-06, + "loss": 0.5944, + "step": 3097 + }, + { + "epoch": 1.5173300673606858, + "grad_norm": 0.38584646582603455, + "learning_rate": 2.5176038312866057e-06, + "loss": 0.5996, + "step": 3098 + }, + { + "epoch": 1.5178199632578078, + "grad_norm": 0.37831205129623413, + "learning_rate": 2.5162998630006984e-06, + "loss": 0.6013, + "step": 3099 + }, + { + "epoch": 1.5183098591549296, + "grad_norm": 0.3932523727416992, + "learning_rate": 2.5149958902801542e-06, + "loss": 0.6294, + "step": 3100 + }, + { + "epoch": 1.5187997550520516, + "grad_norm": 0.3885176479816437, + "learning_rate": 2.5136919134797404e-06, + "loss": 0.5832, + "step": 3101 + }, + { + "epoch": 1.5192896509491733, + "grad_norm": 0.38328495621681213, + "learning_rate": 2.5123879329542255e-06, + "loss": 0.5983, + "step": 3102 + }, + { + "epoch": 1.5197795468462951, + "grad_norm": 0.38307327032089233, + "learning_rate": 2.511083949058377e-06, + "loss": 0.5982, + "step": 3103 + }, + { + "epoch": 1.520269442743417, + "grad_norm": 0.3764829635620117, + "learning_rate": 2.5097799621469645e-06, + "loss": 0.6028, + "step": 3104 + }, + { + "epoch": 1.520759338640539, + "grad_norm": 0.36733323335647583, + "learning_rate": 2.5084759725747587e-06, + "loss": 0.6164, + "step": 3105 + }, + { + "epoch": 1.5212492345376607, + "grad_norm": 0.37321779131889343, + "learning_rate": 2.5071719806965295e-06, + "loss": 0.6156, + "step": 3106 + }, + { + "epoch": 1.5217391304347827, + "grad_norm": 0.38595911860466003, + "learning_rate": 2.5058679868670506e-06, + "loss": 0.6131, + "step": 3107 + }, + { + "epoch": 1.5222290263319045, + "grad_norm": 0.3891521990299225, + "learning_rate": 2.504563991441092e-06, + "loss": 0.6169, + "step": 3108 + }, + { + "epoch": 1.5227189222290263, + "grad_norm": 0.39791473746299744, + "learning_rate": 2.5032599947734277e-06, + "loss": 0.6109, + "step": 3109 + }, + { + "epoch": 1.523208818126148, + "grad_norm": 0.3888254761695862, + "learning_rate": 2.50195599721883e-06, + "loss": 0.6068, + "step": 3110 + }, + { + "epoch": 1.52369871402327, + "grad_norm": 0.4040529429912567, + "learning_rate": 2.500651999132073e-06, + "loss": 0.605, + "step": 3111 + }, + { + "epoch": 1.524188609920392, + "grad_norm": 0.3828190267086029, + "learning_rate": 2.499348000867929e-06, + "loss": 0.6278, + "step": 3112 + }, + { + "epoch": 1.5246785058175139, + "grad_norm": 0.38078007102012634, + "learning_rate": 2.4980440027811704e-06, + "loss": 0.5991, + "step": 3113 + }, + { + "epoch": 1.5251684017146356, + "grad_norm": 0.3939245343208313, + "learning_rate": 2.496740005226573e-06, + "loss": 0.636, + "step": 3114 + }, + { + "epoch": 1.5256582976117574, + "grad_norm": 0.4037913978099823, + "learning_rate": 2.4954360085589084e-06, + "loss": 0.6286, + "step": 3115 + }, + { + "epoch": 1.5261481935088792, + "grad_norm": 0.3760524094104767, + "learning_rate": 2.4941320131329507e-06, + "loss": 0.6144, + "step": 3116 + }, + { + "epoch": 1.5266380894060012, + "grad_norm": 0.3852598965167999, + "learning_rate": 2.4928280193034713e-06, + "loss": 0.5892, + "step": 3117 + }, + { + "epoch": 1.5271279853031232, + "grad_norm": 0.3917822539806366, + "learning_rate": 2.491524027425242e-06, + "loss": 0.63, + "step": 3118 + }, + { + "epoch": 1.527617881200245, + "grad_norm": 0.38746392726898193, + "learning_rate": 2.490220037853036e-06, + "loss": 0.6139, + "step": 3119 + }, + { + "epoch": 1.5281077770973668, + "grad_norm": 0.37289130687713623, + "learning_rate": 2.4889160509416245e-06, + "loss": 0.5985, + "step": 3120 + }, + { + "epoch": 1.5285976729944886, + "grad_norm": 0.3825884759426117, + "learning_rate": 2.4876120670457753e-06, + "loss": 0.6383, + "step": 3121 + }, + { + "epoch": 1.5290875688916106, + "grad_norm": 0.3787722885608673, + "learning_rate": 2.48630808652026e-06, + "loss": 0.5872, + "step": 3122 + }, + { + "epoch": 1.5295774647887324, + "grad_norm": 0.38092395663261414, + "learning_rate": 2.485004109719846e-06, + "loss": 0.5965, + "step": 3123 + }, + { + "epoch": 1.5300673606858544, + "grad_norm": 0.39832237362861633, + "learning_rate": 2.483700136999303e-06, + "loss": 0.6109, + "step": 3124 + }, + { + "epoch": 1.5305572565829761, + "grad_norm": 0.37873995304107666, + "learning_rate": 2.482396168713395e-06, + "loss": 0.5816, + "step": 3125 + }, + { + "epoch": 1.531047152480098, + "grad_norm": 0.38659459352493286, + "learning_rate": 2.4810922052168873e-06, + "loss": 0.5836, + "step": 3126 + }, + { + "epoch": 1.5315370483772197, + "grad_norm": 0.37925612926483154, + "learning_rate": 2.4797882468645452e-06, + "loss": 0.5989, + "step": 3127 + }, + { + "epoch": 1.5320269442743417, + "grad_norm": 0.39829540252685547, + "learning_rate": 2.4784842940111313e-06, + "loss": 0.5667, + "step": 3128 + }, + { + "epoch": 1.5325168401714637, + "grad_norm": 0.3842020332813263, + "learning_rate": 2.477180347011405e-06, + "loss": 0.6304, + "step": 3129 + }, + { + "epoch": 1.5330067360685855, + "grad_norm": 0.4026530086994171, + "learning_rate": 2.475876406220127e-06, + "loss": 0.6211, + "step": 3130 + }, + { + "epoch": 1.5334966319657073, + "grad_norm": 0.3746192455291748, + "learning_rate": 2.474572471992054e-06, + "loss": 0.6254, + "step": 3131 + }, + { + "epoch": 1.533986527862829, + "grad_norm": 0.38440433144569397, + "learning_rate": 2.473268544681944e-06, + "loss": 0.622, + "step": 3132 + }, + { + "epoch": 1.5344764237599509, + "grad_norm": 0.4049939215183258, + "learning_rate": 2.471964624644549e-06, + "loss": 0.6102, + "step": 3133 + }, + { + "epoch": 1.5349663196570729, + "grad_norm": 0.36214229464530945, + "learning_rate": 2.4706607122346215e-06, + "loss": 0.5893, + "step": 3134 + }, + { + "epoch": 1.5354562155541949, + "grad_norm": 0.36102527379989624, + "learning_rate": 2.4693568078069125e-06, + "loss": 0.5905, + "step": 3135 + }, + { + "epoch": 1.5359461114513167, + "grad_norm": 0.3771665394306183, + "learning_rate": 2.4680529117161694e-06, + "loss": 0.5906, + "step": 3136 + }, + { + "epoch": 1.5364360073484384, + "grad_norm": 0.40110015869140625, + "learning_rate": 2.4667490243171367e-06, + "loss": 0.6249, + "step": 3137 + }, + { + "epoch": 1.5369259032455602, + "grad_norm": 0.377811074256897, + "learning_rate": 2.4654451459645587e-06, + "loss": 0.6133, + "step": 3138 + }, + { + "epoch": 1.5374157991426822, + "grad_norm": 0.379525363445282, + "learning_rate": 2.4641412770131756e-06, + "loss": 0.6103, + "step": 3139 + }, + { + "epoch": 1.537905695039804, + "grad_norm": 0.38697734475135803, + "learning_rate": 2.4628374178177274e-06, + "loss": 0.626, + "step": 3140 + }, + { + "epoch": 1.538395590936926, + "grad_norm": 0.3811402916908264, + "learning_rate": 2.4615335687329468e-06, + "loss": 0.6102, + "step": 3141 + }, + { + "epoch": 1.5388854868340478, + "grad_norm": 0.3849681317806244, + "learning_rate": 2.460229730113568e-06, + "loss": 0.6124, + "step": 3142 + }, + { + "epoch": 1.5393753827311696, + "grad_norm": 0.3926849365234375, + "learning_rate": 2.4589259023143212e-06, + "loss": 0.593, + "step": 3143 + }, + { + "epoch": 1.5398652786282914, + "grad_norm": 0.361573189496994, + "learning_rate": 2.457622085689934e-06, + "loss": 0.6227, + "step": 3144 + }, + { + "epoch": 1.5403551745254134, + "grad_norm": 0.36820188164711, + "learning_rate": 2.4563182805951282e-06, + "loss": 0.5998, + "step": 3145 + }, + { + "epoch": 1.5408450704225352, + "grad_norm": 0.38468092679977417, + "learning_rate": 2.4550144873846266e-06, + "loss": 0.5845, + "step": 3146 + }, + { + "epoch": 1.5413349663196572, + "grad_norm": 0.3693011701107025, + "learning_rate": 2.4537107064131462e-06, + "loss": 0.5933, + "step": 3147 + }, + { + "epoch": 1.541824862216779, + "grad_norm": 0.37116867303848267, + "learning_rate": 2.4524069380354005e-06, + "loss": 0.628, + "step": 3148 + }, + { + "epoch": 1.5423147581139007, + "grad_norm": 0.38332054018974304, + "learning_rate": 2.4511031826061012e-06, + "loss": 0.591, + "step": 3149 + }, + { + "epoch": 1.5428046540110225, + "grad_norm": 0.38011372089385986, + "learning_rate": 2.449799440479955e-06, + "loss": 0.6205, + "step": 3150 + }, + { + "epoch": 1.5432945499081445, + "grad_norm": 0.377467542886734, + "learning_rate": 2.448495712011667e-06, + "loss": 0.6008, + "step": 3151 + }, + { + "epoch": 1.5437844458052665, + "grad_norm": 0.3905692398548126, + "learning_rate": 2.447191997555936e-06, + "loss": 0.5995, + "step": 3152 + }, + { + "epoch": 1.5442743417023883, + "grad_norm": 0.3788396716117859, + "learning_rate": 2.445888297467457e-06, + "loss": 0.5997, + "step": 3153 + }, + { + "epoch": 1.54476423759951, + "grad_norm": 0.3661966919898987, + "learning_rate": 2.4445846121009248e-06, + "loss": 0.5975, + "step": 3154 + }, + { + "epoch": 1.5452541334966319, + "grad_norm": 0.38564223051071167, + "learning_rate": 2.4432809418110266e-06, + "loss": 0.6126, + "step": 3155 + }, + { + "epoch": 1.5457440293937539, + "grad_norm": 0.3930663764476776, + "learning_rate": 2.4419772869524454e-06, + "loss": 0.6164, + "step": 3156 + }, + { + "epoch": 1.5462339252908757, + "grad_norm": 0.3986127972602844, + "learning_rate": 2.4406736478798627e-06, + "loss": 0.6141, + "step": 3157 + }, + { + "epoch": 1.5467238211879977, + "grad_norm": 0.41254162788391113, + "learning_rate": 2.4393700249479527e-06, + "loss": 0.6185, + "step": 3158 + }, + { + "epoch": 1.5472137170851195, + "grad_norm": 0.3858606815338135, + "learning_rate": 2.438066418511389e-06, + "loss": 0.6003, + "step": 3159 + }, + { + "epoch": 1.5477036129822412, + "grad_norm": 0.37588733434677124, + "learning_rate": 2.4367628289248363e-06, + "loss": 0.6283, + "step": 3160 + }, + { + "epoch": 1.548193508879363, + "grad_norm": 0.3844289183616638, + "learning_rate": 2.435459256542957e-06, + "loss": 0.5836, + "step": 3161 + }, + { + "epoch": 1.548683404776485, + "grad_norm": 0.37036383152008057, + "learning_rate": 2.434155701720409e-06, + "loss": 0.6258, + "step": 3162 + }, + { + "epoch": 1.5491733006736068, + "grad_norm": 0.3767000734806061, + "learning_rate": 2.4328521648118457e-06, + "loss": 0.5936, + "step": 3163 + }, + { + "epoch": 1.5496631965707288, + "grad_norm": 0.3939858675003052, + "learning_rate": 2.4315486461719134e-06, + "loss": 0.5973, + "step": 3164 + }, + { + "epoch": 1.5501530924678506, + "grad_norm": 0.37139037251472473, + "learning_rate": 2.4302451461552566e-06, + "loss": 0.6196, + "step": 3165 + }, + { + "epoch": 1.5506429883649724, + "grad_norm": 0.38733938336372375, + "learning_rate": 2.4289416651165115e-06, + "loss": 0.5705, + "step": 3166 + }, + { + "epoch": 1.5511328842620942, + "grad_norm": 0.3817317485809326, + "learning_rate": 2.427638203410313e-06, + "loss": 0.5997, + "step": 3167 + }, + { + "epoch": 1.5516227801592162, + "grad_norm": 0.383152574300766, + "learning_rate": 2.4263347613912866e-06, + "loss": 0.6014, + "step": 3168 + }, + { + "epoch": 1.5521126760563382, + "grad_norm": 0.37812134623527527, + "learning_rate": 2.425031339414054e-06, + "loss": 0.5915, + "step": 3169 + }, + { + "epoch": 1.55260257195346, + "grad_norm": 0.3712126612663269, + "learning_rate": 2.4237279378332337e-06, + "loss": 0.6181, + "step": 3170 + }, + { + "epoch": 1.5530924678505817, + "grad_norm": 0.3949498236179352, + "learning_rate": 2.4224245570034363e-06, + "loss": 0.6233, + "step": 3171 + }, + { + "epoch": 1.5535823637477035, + "grad_norm": 0.3691604435443878, + "learning_rate": 2.421121197279265e-06, + "loss": 0.5927, + "step": 3172 + }, + { + "epoch": 1.5540722596448253, + "grad_norm": 0.39496874809265137, + "learning_rate": 2.419817859015322e-06, + "loss": 0.6142, + "step": 3173 + }, + { + "epoch": 1.5545621555419473, + "grad_norm": 0.37672707438468933, + "learning_rate": 2.4185145425662e-06, + "loss": 0.5973, + "step": 3174 + }, + { + "epoch": 1.5550520514390693, + "grad_norm": 0.38495969772338867, + "learning_rate": 2.4172112482864878e-06, + "loss": 0.6211, + "step": 3175 + }, + { + "epoch": 1.555541947336191, + "grad_norm": 0.36802592873573303, + "learning_rate": 2.415907976530766e-06, + "loss": 0.5963, + "step": 3176 + }, + { + "epoch": 1.556031843233313, + "grad_norm": 0.3927435576915741, + "learning_rate": 2.41460472765361e-06, + "loss": 0.6213, + "step": 3177 + }, + { + "epoch": 1.5565217391304347, + "grad_norm": 0.3695383369922638, + "learning_rate": 2.413301502009591e-06, + "loss": 0.5851, + "step": 3178 + }, + { + "epoch": 1.5570116350275567, + "grad_norm": 0.3778722286224365, + "learning_rate": 2.411998299953272e-06, + "loss": 0.6191, + "step": 3179 + }, + { + "epoch": 1.5575015309246785, + "grad_norm": 0.3749679625034332, + "learning_rate": 2.4106951218392073e-06, + "loss": 0.6145, + "step": 3180 + }, + { + "epoch": 1.5579914268218005, + "grad_norm": 0.38962483406066895, + "learning_rate": 2.4093919680219503e-06, + "loss": 0.6333, + "step": 3181 + }, + { + "epoch": 1.5584813227189223, + "grad_norm": 0.39030560851097107, + "learning_rate": 2.4080888388560422e-06, + "loss": 0.607, + "step": 3182 + }, + { + "epoch": 1.558971218616044, + "grad_norm": 0.37025776505470276, + "learning_rate": 2.4067857346960223e-06, + "loss": 0.5796, + "step": 3183 + }, + { + "epoch": 1.5594611145131658, + "grad_norm": 0.3578331768512726, + "learning_rate": 2.4054826558964183e-06, + "loss": 0.6186, + "step": 3184 + }, + { + "epoch": 1.5599510104102878, + "grad_norm": 0.3886048495769501, + "learning_rate": 2.4041796028117546e-06, + "loss": 0.5799, + "step": 3185 + }, + { + "epoch": 1.5604409063074098, + "grad_norm": 0.37896305322647095, + "learning_rate": 2.4028765757965474e-06, + "loss": 0.6081, + "step": 3186 + }, + { + "epoch": 1.5609308022045316, + "grad_norm": 0.3761700689792633, + "learning_rate": 2.4015735752053068e-06, + "loss": 0.5975, + "step": 3187 + }, + { + "epoch": 1.5614206981016534, + "grad_norm": 0.3740215599536896, + "learning_rate": 2.400270601392532e-06, + "loss": 0.6448, + "step": 3188 + }, + { + "epoch": 1.5619105939987752, + "grad_norm": 0.3924482762813568, + "learning_rate": 2.3989676547127206e-06, + "loss": 0.6054, + "step": 3189 + }, + { + "epoch": 1.562400489895897, + "grad_norm": 0.3817175626754761, + "learning_rate": 2.3976647355203578e-06, + "loss": 0.6012, + "step": 3190 + }, + { + "epoch": 1.562890385793019, + "grad_norm": 0.3695969879627228, + "learning_rate": 2.396361844169925e-06, + "loss": 0.6111, + "step": 3191 + }, + { + "epoch": 1.563380281690141, + "grad_norm": 0.3961871266365051, + "learning_rate": 2.3950589810158936e-06, + "loss": 0.601, + "step": 3192 + }, + { + "epoch": 1.5638701775872628, + "grad_norm": 0.3689059019088745, + "learning_rate": 2.3937561464127276e-06, + "loss": 0.583, + "step": 3193 + }, + { + "epoch": 1.5643600734843846, + "grad_norm": 0.37377527356147766, + "learning_rate": 2.392453340714885e-06, + "loss": 0.5935, + "step": 3194 + }, + { + "epoch": 1.5648499693815063, + "grad_norm": 0.37081652879714966, + "learning_rate": 2.3911505642768145e-06, + "loss": 0.6085, + "step": 3195 + }, + { + "epoch": 1.5653398652786283, + "grad_norm": 0.37948843836784363, + "learning_rate": 2.3898478174529565e-06, + "loss": 0.6161, + "step": 3196 + }, + { + "epoch": 1.5658297611757501, + "grad_norm": 0.376303106546402, + "learning_rate": 2.388545100597743e-06, + "loss": 0.6269, + "step": 3197 + }, + { + "epoch": 1.5663196570728721, + "grad_norm": 0.3871522545814514, + "learning_rate": 2.3872424140656e-06, + "loss": 0.6172, + "step": 3198 + }, + { + "epoch": 1.566809552969994, + "grad_norm": 0.3894304037094116, + "learning_rate": 2.3859397582109454e-06, + "loss": 0.5918, + "step": 3199 + }, + { + "epoch": 1.5672994488671157, + "grad_norm": 0.38107404112815857, + "learning_rate": 2.3846371333881845e-06, + "loss": 0.6016, + "step": 3200 + }, + { + "epoch": 1.5677893447642375, + "grad_norm": 0.3852521777153015, + "learning_rate": 2.3833345399517188e-06, + "loss": 0.6433, + "step": 3201 + }, + { + "epoch": 1.5682792406613595, + "grad_norm": 0.3699631989002228, + "learning_rate": 2.3820319782559386e-06, + "loss": 0.6046, + "step": 3202 + }, + { + "epoch": 1.5687691365584813, + "grad_norm": 0.38293442130088806, + "learning_rate": 2.3807294486552274e-06, + "loss": 0.6096, + "step": 3203 + }, + { + "epoch": 1.5692590324556033, + "grad_norm": 0.39455074071884155, + "learning_rate": 2.379426951503958e-06, + "loss": 0.6048, + "step": 3204 + }, + { + "epoch": 1.569748928352725, + "grad_norm": 0.3589867353439331, + "learning_rate": 2.3781244871564954e-06, + "loss": 0.6248, + "step": 3205 + }, + { + "epoch": 1.5702388242498468, + "grad_norm": 0.3880811035633087, + "learning_rate": 2.3768220559671968e-06, + "loss": 0.5924, + "step": 3206 + }, + { + "epoch": 1.5707287201469686, + "grad_norm": 0.36744752526283264, + "learning_rate": 2.3755196582904085e-06, + "loss": 0.5865, + "step": 3207 + }, + { + "epoch": 1.5712186160440906, + "grad_norm": 0.3869536519050598, + "learning_rate": 2.374217294480468e-06, + "loss": 0.5942, + "step": 3208 + }, + { + "epoch": 1.5717085119412126, + "grad_norm": 0.3971443176269531, + "learning_rate": 2.3729149648917045e-06, + "loss": 0.5849, + "step": 3209 + }, + { + "epoch": 1.5721984078383344, + "grad_norm": 0.3734917640686035, + "learning_rate": 2.3716126698784375e-06, + "loss": 0.6143, + "step": 3210 + }, + { + "epoch": 1.5726883037354562, + "grad_norm": 0.3697700500488281, + "learning_rate": 2.370310409794976e-06, + "loss": 0.5776, + "step": 3211 + }, + { + "epoch": 1.573178199632578, + "grad_norm": 0.3662490248680115, + "learning_rate": 2.369008184995622e-06, + "loss": 0.6106, + "step": 3212 + }, + { + "epoch": 1.5736680955296998, + "grad_norm": 0.39350107312202454, + "learning_rate": 2.367705995834665e-06, + "loss": 0.6103, + "step": 3213 + }, + { + "epoch": 1.5741579914268218, + "grad_norm": 0.38354629278182983, + "learning_rate": 2.3664038426663876e-06, + "loss": 0.6104, + "step": 3214 + }, + { + "epoch": 1.5746478873239438, + "grad_norm": 0.40013623237609863, + "learning_rate": 2.36510172584506e-06, + "loss": 0.5824, + "step": 3215 + }, + { + "epoch": 1.5751377832210656, + "grad_norm": 0.39871564507484436, + "learning_rate": 2.3637996457249433e-06, + "loss": 0.611, + "step": 3216 + }, + { + "epoch": 1.5756276791181874, + "grad_norm": 0.38011446595191956, + "learning_rate": 2.362497602660291e-06, + "loss": 0.6022, + "step": 3217 + }, + { + "epoch": 1.5761175750153091, + "grad_norm": 0.3767208755016327, + "learning_rate": 2.361195597005343e-06, + "loss": 0.6437, + "step": 3218 + }, + { + "epoch": 1.5766074709124311, + "grad_norm": 0.3727389872074127, + "learning_rate": 2.3598936291143305e-06, + "loss": 0.584, + "step": 3219 + }, + { + "epoch": 1.577097366809553, + "grad_norm": 0.37003687024116516, + "learning_rate": 2.3585916993414752e-06, + "loss": 0.5986, + "step": 3220 + }, + { + "epoch": 1.577587262706675, + "grad_norm": 0.3944120705127716, + "learning_rate": 2.357289808040987e-06, + "loss": 0.6049, + "step": 3221 + }, + { + "epoch": 1.5780771586037967, + "grad_norm": 0.37963202595710754, + "learning_rate": 2.3559879555670674e-06, + "loss": 0.6059, + "step": 3222 + }, + { + "epoch": 1.5785670545009185, + "grad_norm": 0.36216703057289124, + "learning_rate": 2.354686142273904e-06, + "loss": 0.6069, + "step": 3223 + }, + { + "epoch": 1.5790569503980403, + "grad_norm": 0.38966575264930725, + "learning_rate": 2.353384368515677e-06, + "loss": 0.6165, + "step": 3224 + }, + { + "epoch": 1.5795468462951623, + "grad_norm": 0.37164774537086487, + "learning_rate": 2.3520826346465544e-06, + "loss": 0.5904, + "step": 3225 + }, + { + "epoch": 1.5800367421922843, + "grad_norm": 0.3790624737739563, + "learning_rate": 2.350780941020694e-06, + "loss": 0.5959, + "step": 3226 + }, + { + "epoch": 1.580526638089406, + "grad_norm": 0.38198941946029663, + "learning_rate": 2.3494792879922403e-06, + "loss": 0.6209, + "step": 3227 + }, + { + "epoch": 1.5810165339865279, + "grad_norm": 0.3918890357017517, + "learning_rate": 2.3481776759153307e-06, + "loss": 0.6172, + "step": 3228 + }, + { + "epoch": 1.5815064298836496, + "grad_norm": 0.38111230731010437, + "learning_rate": 2.346876105144088e-06, + "loss": 0.6198, + "step": 3229 + }, + { + "epoch": 1.5819963257807714, + "grad_norm": 0.3811773657798767, + "learning_rate": 2.3455745760326266e-06, + "loss": 0.6038, + "step": 3230 + }, + { + "epoch": 1.5824862216778934, + "grad_norm": 0.3890225291252136, + "learning_rate": 2.3442730889350472e-06, + "loss": 0.5682, + "step": 3231 + }, + { + "epoch": 1.5829761175750154, + "grad_norm": 0.37748515605926514, + "learning_rate": 2.342971644205439e-06, + "loss": 0.5661, + "step": 3232 + }, + { + "epoch": 1.5834660134721372, + "grad_norm": 0.38620907068252563, + "learning_rate": 2.3416702421978824e-06, + "loss": 0.583, + "step": 3233 + }, + { + "epoch": 1.583955909369259, + "grad_norm": 0.39035558700561523, + "learning_rate": 2.340368883266444e-06, + "loss": 0.6123, + "step": 3234 + }, + { + "epoch": 1.5844458052663808, + "grad_norm": 0.38981544971466064, + "learning_rate": 2.3390675677651778e-06, + "loss": 0.6272, + "step": 3235 + }, + { + "epoch": 1.5849357011635028, + "grad_norm": 0.3683544099330902, + "learning_rate": 2.337766296048129e-06, + "loss": 0.6, + "step": 3236 + }, + { + "epoch": 1.5854255970606246, + "grad_norm": 0.3827553391456604, + "learning_rate": 2.3364650684693273e-06, + "loss": 0.6211, + "step": 3237 + }, + { + "epoch": 1.5859154929577466, + "grad_norm": 0.38022297620773315, + "learning_rate": 2.3351638853827952e-06, + "loss": 0.5994, + "step": 3238 + }, + { + "epoch": 1.5864053888548684, + "grad_norm": 0.3768434226512909, + "learning_rate": 2.3338627471425373e-06, + "loss": 0.5667, + "step": 3239 + }, + { + "epoch": 1.5868952847519902, + "grad_norm": 0.3655954599380493, + "learning_rate": 2.33256165410255e-06, + "loss": 0.6294, + "step": 3240 + }, + { + "epoch": 1.587385180649112, + "grad_norm": 0.38282510638237, + "learning_rate": 2.3312606066168162e-06, + "loss": 0.5988, + "step": 3241 + }, + { + "epoch": 1.587875076546234, + "grad_norm": 0.3746809661388397, + "learning_rate": 2.329959605039307e-06, + "loss": 0.6089, + "step": 3242 + }, + { + "epoch": 1.588364972443356, + "grad_norm": 0.38167184591293335, + "learning_rate": 2.328658649723979e-06, + "loss": 0.6281, + "step": 3243 + }, + { + "epoch": 1.5888548683404777, + "grad_norm": 0.3782380223274231, + "learning_rate": 2.3273577410247794e-06, + "loss": 0.5886, + "step": 3244 + }, + { + "epoch": 1.5893447642375995, + "grad_norm": 0.36733579635620117, + "learning_rate": 2.3260568792956395e-06, + "loss": 0.6035, + "step": 3245 + }, + { + "epoch": 1.5898346601347213, + "grad_norm": 0.37153419852256775, + "learning_rate": 2.324756064890481e-06, + "loss": 0.5999, + "step": 3246 + }, + { + "epoch": 1.590324556031843, + "grad_norm": 0.37836626172065735, + "learning_rate": 2.32345529816321e-06, + "loss": 0.6076, + "step": 3247 + }, + { + "epoch": 1.590814451928965, + "grad_norm": 0.389700323343277, + "learning_rate": 2.32215457946772e-06, + "loss": 0.6031, + "step": 3248 + }, + { + "epoch": 1.591304347826087, + "grad_norm": 0.3959365785121918, + "learning_rate": 2.3208539091578934e-06, + "loss": 0.6099, + "step": 3249 + }, + { + "epoch": 1.5917942437232089, + "grad_norm": 0.37539589405059814, + "learning_rate": 2.319553287587599e-06, + "loss": 0.6015, + "step": 3250 + }, + { + "epoch": 1.5922841396203307, + "grad_norm": 0.4021228551864624, + "learning_rate": 2.3182527151106886e-06, + "loss": 0.5685, + "step": 3251 + }, + { + "epoch": 1.5927740355174524, + "grad_norm": 0.4100782573223114, + "learning_rate": 2.3169521920810054e-06, + "loss": 0.584, + "step": 3252 + }, + { + "epoch": 1.5932639314145745, + "grad_norm": 0.38776689767837524, + "learning_rate": 2.3156517188523766e-06, + "loss": 0.5978, + "step": 3253 + }, + { + "epoch": 1.5937538273116962, + "grad_norm": 0.35416537523269653, + "learning_rate": 2.3143512957786184e-06, + "loss": 0.5923, + "step": 3254 + }, + { + "epoch": 1.5942437232088182, + "grad_norm": 0.3953530788421631, + "learning_rate": 2.3130509232135293e-06, + "loss": 0.5931, + "step": 3255 + }, + { + "epoch": 1.59473361910594, + "grad_norm": 0.39035046100616455, + "learning_rate": 2.3117506015108963e-06, + "loss": 0.621, + "step": 3256 + }, + { + "epoch": 1.5952235150030618, + "grad_norm": 0.3801955580711365, + "learning_rate": 2.310450331024494e-06, + "loss": 0.5979, + "step": 3257 + }, + { + "epoch": 1.5957134109001836, + "grad_norm": 0.3693969249725342, + "learning_rate": 2.3091501121080815e-06, + "loss": 0.6009, + "step": 3258 + }, + { + "epoch": 1.5962033067973056, + "grad_norm": 0.4003407657146454, + "learning_rate": 2.307849945115402e-06, + "loss": 0.5985, + "step": 3259 + }, + { + "epoch": 1.5966932026944274, + "grad_norm": 0.39239731431007385, + "learning_rate": 2.306549830400188e-06, + "loss": 0.6001, + "step": 3260 + }, + { + "epoch": 1.5971830985915494, + "grad_norm": 0.3999294340610504, + "learning_rate": 2.3052497683161556e-06, + "loss": 0.61, + "step": 3261 + }, + { + "epoch": 1.5976729944886712, + "grad_norm": 0.3815794885158539, + "learning_rate": 2.303949759217009e-06, + "loss": 0.5853, + "step": 3262 + }, + { + "epoch": 1.598162890385793, + "grad_norm": 0.39337214827537537, + "learning_rate": 2.3026498034564344e-06, + "loss": 0.6066, + "step": 3263 + }, + { + "epoch": 1.5986527862829147, + "grad_norm": 0.4330892264842987, + "learning_rate": 2.3013499013881054e-06, + "loss": 0.6001, + "step": 3264 + }, + { + "epoch": 1.5991426821800367, + "grad_norm": 0.3851599097251892, + "learning_rate": 2.300050053365682e-06, + "loss": 0.5821, + "step": 3265 + }, + { + "epoch": 1.5996325780771588, + "grad_norm": 0.3726447820663452, + "learning_rate": 2.2987502597428085e-06, + "loss": 0.5985, + "step": 3266 + }, + { + "epoch": 1.6001224739742805, + "grad_norm": 0.3877764940261841, + "learning_rate": 2.2974505208731128e-06, + "loss": 0.5983, + "step": 3267 + }, + { + "epoch": 1.6006123698714023, + "grad_norm": 0.3849540054798126, + "learning_rate": 2.296150837110211e-06, + "loss": 0.6106, + "step": 3268 + }, + { + "epoch": 1.601102265768524, + "grad_norm": 0.38776394724845886, + "learning_rate": 2.294851208807701e-06, + "loss": 0.5897, + "step": 3269 + }, + { + "epoch": 1.6015921616656459, + "grad_norm": 0.3848371207714081, + "learning_rate": 2.2935516363191695e-06, + "loss": 0.6127, + "step": 3270 + }, + { + "epoch": 1.602082057562768, + "grad_norm": 0.37539142370224, + "learning_rate": 2.2922521199981844e-06, + "loss": 0.5927, + "step": 3271 + }, + { + "epoch": 1.60257195345989, + "grad_norm": 0.39716699719429016, + "learning_rate": 2.290952660198299e-06, + "loss": 0.5906, + "step": 3272 + }, + { + "epoch": 1.6030618493570117, + "grad_norm": 0.38160496950149536, + "learning_rate": 2.2896532572730534e-06, + "loss": 0.5926, + "step": 3273 + }, + { + "epoch": 1.6035517452541335, + "grad_norm": 0.4042673707008362, + "learning_rate": 2.2883539115759707e-06, + "loss": 0.5882, + "step": 3274 + }, + { + "epoch": 1.6040416411512552, + "grad_norm": 0.38737985491752625, + "learning_rate": 2.287054623460557e-06, + "loss": 0.617, + "step": 3275 + }, + { + "epoch": 1.6045315370483773, + "grad_norm": 0.3706636130809784, + "learning_rate": 2.2857553932803057e-06, + "loss": 0.6058, + "step": 3276 + }, + { + "epoch": 1.605021432945499, + "grad_norm": 0.3874024450778961, + "learning_rate": 2.2844562213886926e-06, + "loss": 0.6172, + "step": 3277 + }, + { + "epoch": 1.605511328842621, + "grad_norm": 0.3764362335205078, + "learning_rate": 2.2831571081391775e-06, + "loss": 0.6106, + "step": 3278 + }, + { + "epoch": 1.6060012247397428, + "grad_norm": 0.38618773221969604, + "learning_rate": 2.2818580538852044e-06, + "loss": 0.5894, + "step": 3279 + }, + { + "epoch": 1.6064911206368646, + "grad_norm": 0.39565032720565796, + "learning_rate": 2.280559058980202e-06, + "loss": 0.6074, + "step": 3280 + }, + { + "epoch": 1.6069810165339864, + "grad_norm": 0.4086615741252899, + "learning_rate": 2.2792601237775845e-06, + "loss": 0.6151, + "step": 3281 + }, + { + "epoch": 1.6074709124311084, + "grad_norm": 0.38185274600982666, + "learning_rate": 2.277961248630744e-06, + "loss": 0.6004, + "step": 3282 + }, + { + "epoch": 1.6079608083282304, + "grad_norm": 0.3869055211544037, + "learning_rate": 2.2766624338930626e-06, + "loss": 0.6079, + "step": 3283 + }, + { + "epoch": 1.6084507042253522, + "grad_norm": 0.38718321919441223, + "learning_rate": 2.275363679917902e-06, + "loss": 0.6161, + "step": 3284 + }, + { + "epoch": 1.608940600122474, + "grad_norm": 0.39998286962509155, + "learning_rate": 2.274064987058611e-06, + "loss": 0.6315, + "step": 3285 + }, + { + "epoch": 1.6094304960195958, + "grad_norm": 0.3917354643344879, + "learning_rate": 2.2727663556685175e-06, + "loss": 0.618, + "step": 3286 + }, + { + "epoch": 1.6099203919167175, + "grad_norm": 0.396088570356369, + "learning_rate": 2.271467786100934e-06, + "loss": 0.6191, + "step": 3287 + }, + { + "epoch": 1.6104102878138395, + "grad_norm": 0.37867268919944763, + "learning_rate": 2.27016927870916e-06, + "loss": 0.6064, + "step": 3288 + }, + { + "epoch": 1.6109001837109616, + "grad_norm": 0.37031370401382446, + "learning_rate": 2.268870833846473e-06, + "loss": 0.6142, + "step": 3289 + }, + { + "epoch": 1.6113900796080833, + "grad_norm": 0.3957589268684387, + "learning_rate": 2.267572451866135e-06, + "loss": 0.5973, + "step": 3290 + }, + { + "epoch": 1.6118799755052051, + "grad_norm": 0.38158875703811646, + "learning_rate": 2.2662741331213924e-06, + "loss": 0.6079, + "step": 3291 + }, + { + "epoch": 1.612369871402327, + "grad_norm": 0.38359910249710083, + "learning_rate": 2.264975877965473e-06, + "loss": 0.6251, + "step": 3292 + }, + { + "epoch": 1.612859767299449, + "grad_norm": 0.40221479535102844, + "learning_rate": 2.263677686751588e-06, + "loss": 0.5897, + "step": 3293 + }, + { + "epoch": 1.6133496631965707, + "grad_norm": 0.3731202781200409, + "learning_rate": 2.262379559832931e-06, + "loss": 0.5912, + "step": 3294 + }, + { + "epoch": 1.6138395590936927, + "grad_norm": 0.3860584497451782, + "learning_rate": 2.2610814975626767e-06, + "loss": 0.5911, + "step": 3295 + }, + { + "epoch": 1.6143294549908145, + "grad_norm": 0.3798724114894867, + "learning_rate": 2.259783500293985e-06, + "loss": 0.6159, + "step": 3296 + }, + { + "epoch": 1.6148193508879363, + "grad_norm": 0.38712412118911743, + "learning_rate": 2.2584855683799966e-06, + "loss": 0.6032, + "step": 3297 + }, + { + "epoch": 1.615309246785058, + "grad_norm": 0.387295663356781, + "learning_rate": 2.257187702173833e-06, + "loss": 0.6034, + "step": 3298 + }, + { + "epoch": 1.61579914268218, + "grad_norm": 0.40006616711616516, + "learning_rate": 2.2558899020286e-06, + "loss": 0.6127, + "step": 3299 + }, + { + "epoch": 1.616289038579302, + "grad_norm": 0.4041620194911957, + "learning_rate": 2.2545921682973847e-06, + "loss": 0.6151, + "step": 3300 + }, + { + "epoch": 1.6167789344764238, + "grad_norm": 0.38125285506248474, + "learning_rate": 2.2532945013332574e-06, + "loss": 0.6052, + "step": 3301 + }, + { + "epoch": 1.6172688303735456, + "grad_norm": 0.39125874638557434, + "learning_rate": 2.251996901489267e-06, + "loss": 0.609, + "step": 3302 + }, + { + "epoch": 1.6177587262706674, + "grad_norm": 0.3836289644241333, + "learning_rate": 2.2506993691184466e-06, + "loss": 0.5912, + "step": 3303 + }, + { + "epoch": 1.6182486221677892, + "grad_norm": 0.3821849226951599, + "learning_rate": 2.2494019045738108e-06, + "loss": 0.6235, + "step": 3304 + }, + { + "epoch": 1.6187385180649112, + "grad_norm": 0.37764596939086914, + "learning_rate": 2.2481045082083557e-06, + "loss": 0.5952, + "step": 3305 + }, + { + "epoch": 1.6192284139620332, + "grad_norm": 0.3845755159854889, + "learning_rate": 2.2468071803750573e-06, + "loss": 0.6233, + "step": 3306 + }, + { + "epoch": 1.619718309859155, + "grad_norm": 0.36614492535591125, + "learning_rate": 2.2455099214268756e-06, + "loss": 0.6306, + "step": 3307 + }, + { + "epoch": 1.6202082057562768, + "grad_norm": 0.40370070934295654, + "learning_rate": 2.2442127317167493e-06, + "loss": 0.6064, + "step": 3308 + }, + { + "epoch": 1.6206981016533986, + "grad_norm": 0.379673570394516, + "learning_rate": 2.2429156115976005e-06, + "loss": 0.6173, + "step": 3309 + }, + { + "epoch": 1.6211879975505206, + "grad_norm": 0.3851879835128784, + "learning_rate": 2.2416185614223308e-06, + "loss": 0.614, + "step": 3310 + }, + { + "epoch": 1.6216778934476423, + "grad_norm": 0.37075939774513245, + "learning_rate": 2.240321581543822e-06, + "loss": 0.6204, + "step": 3311 + }, + { + "epoch": 1.6221677893447644, + "grad_norm": 0.3732823431491852, + "learning_rate": 2.2390246723149398e-06, + "loss": 0.5966, + "step": 3312 + }, + { + "epoch": 1.6226576852418861, + "grad_norm": 0.37077540159225464, + "learning_rate": 2.237727834088529e-06, + "loss": 0.5996, + "step": 3313 + }, + { + "epoch": 1.623147581139008, + "grad_norm": 0.3793497681617737, + "learning_rate": 2.2364310672174126e-06, + "loss": 0.5819, + "step": 3314 + }, + { + "epoch": 1.6236374770361297, + "grad_norm": 0.3904929459095001, + "learning_rate": 2.235134372054399e-06, + "loss": 0.6176, + "step": 3315 + }, + { + "epoch": 1.6241273729332517, + "grad_norm": 0.3826391398906708, + "learning_rate": 2.2338377489522732e-06, + "loss": 0.6035, + "step": 3316 + }, + { + "epoch": 1.6246172688303735, + "grad_norm": 0.3997509479522705, + "learning_rate": 2.232541198263804e-06, + "loss": 0.6199, + "step": 3317 + }, + { + "epoch": 1.6251071647274955, + "grad_norm": 0.36902204155921936, + "learning_rate": 2.2312447203417366e-06, + "loss": 0.6057, + "step": 3318 + }, + { + "epoch": 1.6255970606246173, + "grad_norm": 0.37070226669311523, + "learning_rate": 2.229948315538798e-06, + "loss": 0.5826, + "step": 3319 + }, + { + "epoch": 1.626086956521739, + "grad_norm": 0.3817874789237976, + "learning_rate": 2.2286519842076974e-06, + "loss": 0.6034, + "step": 3320 + }, + { + "epoch": 1.6265768524188609, + "grad_norm": 0.40049266815185547, + "learning_rate": 2.227355726701122e-06, + "loss": 0.5945, + "step": 3321 + }, + { + "epoch": 1.6270667483159829, + "grad_norm": 0.36802273988723755, + "learning_rate": 2.226059543371738e-06, + "loss": 0.593, + "step": 3322 + }, + { + "epoch": 1.6275566442131049, + "grad_norm": 0.383156955242157, + "learning_rate": 2.224763434572193e-06, + "loss": 0.6139, + "step": 3323 + }, + { + "epoch": 1.6280465401102266, + "grad_norm": 0.3652194142341614, + "learning_rate": 2.2234674006551142e-06, + "loss": 0.5648, + "step": 3324 + }, + { + "epoch": 1.6285364360073484, + "grad_norm": 0.3940443992614746, + "learning_rate": 2.222171441973109e-06, + "loss": 0.6145, + "step": 3325 + }, + { + "epoch": 1.6290263319044702, + "grad_norm": 0.39078065752983093, + "learning_rate": 2.220875558878762e-06, + "loss": 0.5742, + "step": 3326 + }, + { + "epoch": 1.629516227801592, + "grad_norm": 0.3707880973815918, + "learning_rate": 2.219579751724639e-06, + "loss": 0.6028, + "step": 3327 + }, + { + "epoch": 1.630006123698714, + "grad_norm": 0.3893603980541229, + "learning_rate": 2.2182840208632855e-06, + "loss": 0.6113, + "step": 3328 + }, + { + "epoch": 1.630496019595836, + "grad_norm": 0.39323538541793823, + "learning_rate": 2.216988366647226e-06, + "loss": 0.6015, + "step": 3329 + }, + { + "epoch": 1.6309859154929578, + "grad_norm": 0.38193127512931824, + "learning_rate": 2.215692789428962e-06, + "loss": 0.6351, + "step": 3330 + }, + { + "epoch": 1.6314758113900796, + "grad_norm": 0.3766697347164154, + "learning_rate": 2.2143972895609774e-06, + "loss": 0.5906, + "step": 3331 + }, + { + "epoch": 1.6319657072872014, + "grad_norm": 0.39130479097366333, + "learning_rate": 2.213101867395732e-06, + "loss": 0.6354, + "step": 3332 + }, + { + "epoch": 1.6324556031843234, + "grad_norm": 0.3877021074295044, + "learning_rate": 2.211806523285668e-06, + "loss": 0.5918, + "step": 3333 + }, + { + "epoch": 1.6329454990814452, + "grad_norm": 0.3826223909854889, + "learning_rate": 2.210511257583203e-06, + "loss": 0.5833, + "step": 3334 + }, + { + "epoch": 1.6334353949785672, + "grad_norm": 0.39240697026252747, + "learning_rate": 2.2092160706407334e-06, + "loss": 0.61, + "step": 3335 + }, + { + "epoch": 1.633925290875689, + "grad_norm": 0.356291264295578, + "learning_rate": 2.2079209628106373e-06, + "loss": 0.5994, + "step": 3336 + }, + { + "epoch": 1.6344151867728107, + "grad_norm": 0.38028016686439514, + "learning_rate": 2.206625934445269e-06, + "loss": 0.598, + "step": 3337 + }, + { + "epoch": 1.6349050826699325, + "grad_norm": 0.41302743554115295, + "learning_rate": 2.20533098589696e-06, + "loss": 0.5808, + "step": 3338 + }, + { + "epoch": 1.6353949785670545, + "grad_norm": 0.38676148653030396, + "learning_rate": 2.2040361175180234e-06, + "loss": 0.6282, + "step": 3339 + }, + { + "epoch": 1.6358848744641765, + "grad_norm": 0.3771892786026001, + "learning_rate": 2.202741329660748e-06, + "loss": 0.6, + "step": 3340 + }, + { + "epoch": 1.6363747703612983, + "grad_norm": 0.38519999384880066, + "learning_rate": 2.2014466226774003e-06, + "loss": 0.6027, + "step": 3341 + }, + { + "epoch": 1.63686466625842, + "grad_norm": 0.38793304562568665, + "learning_rate": 2.2001519969202272e-06, + "loss": 0.587, + "step": 3342 + }, + { + "epoch": 1.6373545621555419, + "grad_norm": 0.380087286233902, + "learning_rate": 2.198857452741451e-06, + "loss": 0.612, + "step": 3343 + }, + { + "epoch": 1.6378444580526637, + "grad_norm": 0.4020310342311859, + "learning_rate": 2.1975629904932744e-06, + "loss": 0.6025, + "step": 3344 + }, + { + "epoch": 1.6383343539497857, + "grad_norm": 0.36846116185188293, + "learning_rate": 2.1962686105278755e-06, + "loss": 0.616, + "step": 3345 + }, + { + "epoch": 1.6388242498469077, + "grad_norm": 0.3795270323753357, + "learning_rate": 2.1949743131974104e-06, + "loss": 0.6056, + "step": 3346 + }, + { + "epoch": 1.6393141457440294, + "grad_norm": 0.37947723269462585, + "learning_rate": 2.1936800988540136e-06, + "loss": 0.6051, + "step": 3347 + }, + { + "epoch": 1.6398040416411512, + "grad_norm": 0.3794011175632477, + "learning_rate": 2.1923859678497977e-06, + "loss": 0.5887, + "step": 3348 + }, + { + "epoch": 1.640293937538273, + "grad_norm": 0.3835107982158661, + "learning_rate": 2.191091920536849e-06, + "loss": 0.5935, + "step": 3349 + }, + { + "epoch": 1.640783833435395, + "grad_norm": 0.3920644521713257, + "learning_rate": 2.1897979572672362e-06, + "loss": 0.6282, + "step": 3350 + }, + { + "epoch": 1.6412737293325168, + "grad_norm": 0.3976043462753296, + "learning_rate": 2.1885040783930005e-06, + "loss": 0.6123, + "step": 3351 + }, + { + "epoch": 1.6417636252296388, + "grad_norm": 0.38885244727134705, + "learning_rate": 2.187210284266164e-06, + "loss": 0.589, + "step": 3352 + }, + { + "epoch": 1.6422535211267606, + "grad_norm": 0.3590148985385895, + "learning_rate": 2.1859165752387225e-06, + "loss": 0.5859, + "step": 3353 + }, + { + "epoch": 1.6427434170238824, + "grad_norm": 0.36837056279182434, + "learning_rate": 2.18462295166265e-06, + "loss": 0.6268, + "step": 3354 + }, + { + "epoch": 1.6432333129210042, + "grad_norm": 0.36597612500190735, + "learning_rate": 2.1833294138898985e-06, + "loss": 0.6088, + "step": 3355 + }, + { + "epoch": 1.6437232088181262, + "grad_norm": 0.3772083520889282, + "learning_rate": 2.1820359622723946e-06, + "loss": 0.6119, + "step": 3356 + }, + { + "epoch": 1.6442131047152482, + "grad_norm": 0.37021946907043457, + "learning_rate": 2.1807425971620416e-06, + "loss": 0.6218, + "step": 3357 + }, + { + "epoch": 1.64470300061237, + "grad_norm": 0.40127840638160706, + "learning_rate": 2.179449318910721e-06, + "loss": 0.627, + "step": 3358 + }, + { + "epoch": 1.6451928965094917, + "grad_norm": 0.37237799167633057, + "learning_rate": 2.178156127870289e-06, + "loss": 0.603, + "step": 3359 + }, + { + "epoch": 1.6456827924066135, + "grad_norm": 0.3861643373966217, + "learning_rate": 2.1768630243925803e-06, + "loss": 0.6243, + "step": 3360 + }, + { + "epoch": 1.6461726883037353, + "grad_norm": 0.37680524587631226, + "learning_rate": 2.175570008829402e-06, + "loss": 0.6017, + "step": 3361 + }, + { + "epoch": 1.6466625842008573, + "grad_norm": 0.37996891140937805, + "learning_rate": 2.1742770815325396e-06, + "loss": 0.5941, + "step": 3362 + }, + { + "epoch": 1.6471524800979793, + "grad_norm": 0.4130703806877136, + "learning_rate": 2.172984242853756e-06, + "loss": 0.5959, + "step": 3363 + }, + { + "epoch": 1.647642375995101, + "grad_norm": 0.38631248474121094, + "learning_rate": 2.1716914931447883e-06, + "loss": 0.5845, + "step": 3364 + }, + { + "epoch": 1.6481322718922229, + "grad_norm": 0.4097321033477783, + "learning_rate": 2.1703988327573483e-06, + "loss": 0.6233, + "step": 3365 + }, + { + "epoch": 1.6486221677893447, + "grad_norm": 0.37912294268608093, + "learning_rate": 2.1691062620431247e-06, + "loss": 0.5823, + "step": 3366 + }, + { + "epoch": 1.6491120636864667, + "grad_norm": 0.3857229948043823, + "learning_rate": 2.167813781353783e-06, + "loss": 0.5969, + "step": 3367 + }, + { + "epoch": 1.6496019595835885, + "grad_norm": 0.37811699509620667, + "learning_rate": 2.166521391040963e-06, + "loss": 0.6019, + "step": 3368 + }, + { + "epoch": 1.6500918554807105, + "grad_norm": 0.38129884004592896, + "learning_rate": 2.1652290914562782e-06, + "loss": 0.5808, + "step": 3369 + }, + { + "epoch": 1.6505817513778323, + "grad_norm": 0.3863693177700043, + "learning_rate": 2.1639368829513212e-06, + "loss": 0.5964, + "step": 3370 + }, + { + "epoch": 1.651071647274954, + "grad_norm": 0.38929396867752075, + "learning_rate": 2.162644765877656e-06, + "loss": 0.5742, + "step": 3371 + }, + { + "epoch": 1.6515615431720758, + "grad_norm": 0.39073440432548523, + "learning_rate": 2.1613527405868264e-06, + "loss": 0.5941, + "step": 3372 + }, + { + "epoch": 1.6520514390691978, + "grad_norm": 0.3684248626232147, + "learning_rate": 2.160060807430345e-06, + "loss": 0.6285, + "step": 3373 + }, + { + "epoch": 1.6525413349663196, + "grad_norm": 0.37567809224128723, + "learning_rate": 2.158768966759704e-06, + "loss": 0.5941, + "step": 3374 + }, + { + "epoch": 1.6530312308634416, + "grad_norm": 0.3912147283554077, + "learning_rate": 2.1574772189263697e-06, + "loss": 0.5995, + "step": 3375 + }, + { + "epoch": 1.6535211267605634, + "grad_norm": 0.366928368806839, + "learning_rate": 2.1561855642817824e-06, + "loss": 0.6189, + "step": 3376 + }, + { + "epoch": 1.6540110226576852, + "grad_norm": 0.3830912709236145, + "learning_rate": 2.154894003177356e-06, + "loss": 0.6084, + "step": 3377 + }, + { + "epoch": 1.654500918554807, + "grad_norm": 0.3849087059497833, + "learning_rate": 2.1536025359644817e-06, + "loss": 0.6071, + "step": 3378 + }, + { + "epoch": 1.654990814451929, + "grad_norm": 0.3831197917461395, + "learning_rate": 2.152311162994522e-06, + "loss": 0.6072, + "step": 3379 + }, + { + "epoch": 1.655480710349051, + "grad_norm": 0.37458208203315735, + "learning_rate": 2.1510198846188177e-06, + "loss": 0.5913, + "step": 3380 + }, + { + "epoch": 1.6559706062461728, + "grad_norm": 0.3927864730358124, + "learning_rate": 2.1497287011886793e-06, + "loss": 0.5925, + "step": 3381 + }, + { + "epoch": 1.6564605021432945, + "grad_norm": 0.41423219442367554, + "learning_rate": 2.1484376130553943e-06, + "loss": 0.5919, + "step": 3382 + }, + { + "epoch": 1.6569503980404163, + "grad_norm": 0.39005205035209656, + "learning_rate": 2.147146620570224e-06, + "loss": 0.5948, + "step": 3383 + }, + { + "epoch": 1.6574402939375381, + "grad_norm": 0.36324065923690796, + "learning_rate": 2.1458557240844043e-06, + "loss": 0.6029, + "step": 3384 + }, + { + "epoch": 1.6579301898346601, + "grad_norm": 0.3665401041507721, + "learning_rate": 2.1445649239491416e-06, + "loss": 0.5813, + "step": 3385 + }, + { + "epoch": 1.6584200857317821, + "grad_norm": 0.3780423104763031, + "learning_rate": 2.1432742205156203e-06, + "loss": 0.6232, + "step": 3386 + }, + { + "epoch": 1.658909981628904, + "grad_norm": 0.3808709979057312, + "learning_rate": 2.1419836141349964e-06, + "loss": 0.6083, + "step": 3387 + }, + { + "epoch": 1.6593998775260257, + "grad_norm": 0.37272417545318604, + "learning_rate": 2.1406931051584002e-06, + "loss": 0.5891, + "step": 3388 + }, + { + "epoch": 1.6598897734231475, + "grad_norm": 0.39059311151504517, + "learning_rate": 2.1394026939369338e-06, + "loss": 0.6188, + "step": 3389 + }, + { + "epoch": 1.6603796693202695, + "grad_norm": 0.3923453092575073, + "learning_rate": 2.138112380821675e-06, + "loss": 0.5735, + "step": 3390 + }, + { + "epoch": 1.6608695652173913, + "grad_norm": 0.3899821639060974, + "learning_rate": 2.1368221661636736e-06, + "loss": 0.6229, + "step": 3391 + }, + { + "epoch": 1.6613594611145133, + "grad_norm": 0.38594067096710205, + "learning_rate": 2.135532050313954e-06, + "loss": 0.5886, + "step": 3392 + }, + { + "epoch": 1.661849357011635, + "grad_norm": 0.403324693441391, + "learning_rate": 2.1342420336235104e-06, + "loss": 0.6003, + "step": 3393 + }, + { + "epoch": 1.6623392529087568, + "grad_norm": 0.40362656116485596, + "learning_rate": 2.1329521164433147e-06, + "loss": 0.5955, + "step": 3394 + }, + { + "epoch": 1.6628291488058786, + "grad_norm": 0.3861358165740967, + "learning_rate": 2.1316622991243067e-06, + "loss": 0.6025, + "step": 3395 + }, + { + "epoch": 1.6633190447030006, + "grad_norm": 0.3882221579551697, + "learning_rate": 2.1303725820174047e-06, + "loss": 0.6089, + "step": 3396 + }, + { + "epoch": 1.6638089406001226, + "grad_norm": 0.39652520418167114, + "learning_rate": 2.1290829654734944e-06, + "loss": 0.613, + "step": 3397 + }, + { + "epoch": 1.6642988364972444, + "grad_norm": 0.384580135345459, + "learning_rate": 2.127793449843437e-06, + "loss": 0.5879, + "step": 3398 + }, + { + "epoch": 1.6647887323943662, + "grad_norm": 0.37146613001823425, + "learning_rate": 2.1265040354780656e-06, + "loss": 0.5966, + "step": 3399 + }, + { + "epoch": 1.665278628291488, + "grad_norm": 0.3768920302391052, + "learning_rate": 2.1252147227281864e-06, + "loss": 0.6106, + "step": 3400 + }, + { + "epoch": 1.6657685241886098, + "grad_norm": 0.38932812213897705, + "learning_rate": 2.1239255119445764e-06, + "loss": 0.6308, + "step": 3401 + }, + { + "epoch": 1.6662584200857318, + "grad_norm": 0.3780452609062195, + "learning_rate": 2.1226364034779864e-06, + "loss": 0.591, + "step": 3402 + }, + { + "epoch": 1.6667483159828538, + "grad_norm": 0.3939433693885803, + "learning_rate": 2.1213473976791394e-06, + "loss": 0.6187, + "step": 3403 + }, + { + "epoch": 1.6672382118799756, + "grad_norm": 0.38337448239326477, + "learning_rate": 2.1200584948987276e-06, + "loss": 0.5849, + "step": 3404 + }, + { + "epoch": 1.6677281077770973, + "grad_norm": 0.3787534832954407, + "learning_rate": 2.11876969548742e-06, + "loss": 0.6117, + "step": 3405 + }, + { + "epoch": 1.6682180036742191, + "grad_norm": 0.39854705333709717, + "learning_rate": 2.117480999795853e-06, + "loss": 0.6062, + "step": 3406 + }, + { + "epoch": 1.6687078995713411, + "grad_norm": 0.39982110261917114, + "learning_rate": 2.116192408174638e-06, + "loss": 0.6314, + "step": 3407 + }, + { + "epoch": 1.669197795468463, + "grad_norm": 0.3942407965660095, + "learning_rate": 2.1149039209743565e-06, + "loss": 0.6281, + "step": 3408 + }, + { + "epoch": 1.669687691365585, + "grad_norm": 0.3728858530521393, + "learning_rate": 2.11361553854556e-06, + "loss": 0.5952, + "step": 3409 + }, + { + "epoch": 1.6701775872627067, + "grad_norm": 0.3814348578453064, + "learning_rate": 2.1123272612387762e-06, + "loss": 0.6045, + "step": 3410 + }, + { + "epoch": 1.6706674831598285, + "grad_norm": 0.38090088963508606, + "learning_rate": 2.1110390894045006e-06, + "loss": 0.6007, + "step": 3411 + }, + { + "epoch": 1.6711573790569503, + "grad_norm": 0.399111270904541, + "learning_rate": 2.109751023393199e-06, + "loss": 0.6034, + "step": 3412 + }, + { + "epoch": 1.6716472749540723, + "grad_norm": 0.36480218172073364, + "learning_rate": 2.1084630635553116e-06, + "loss": 0.6217, + "step": 3413 + }, + { + "epoch": 1.6721371708511943, + "grad_norm": 0.39230480790138245, + "learning_rate": 2.1071752102412477e-06, + "loss": 0.6192, + "step": 3414 + }, + { + "epoch": 1.672627066748316, + "grad_norm": 0.3633286952972412, + "learning_rate": 2.1058874638013897e-06, + "loss": 0.6087, + "step": 3415 + }, + { + "epoch": 1.6731169626454379, + "grad_norm": 0.3657446503639221, + "learning_rate": 2.1045998245860874e-06, + "loss": 0.6033, + "step": 3416 + }, + { + "epoch": 1.6736068585425596, + "grad_norm": 0.38445186614990234, + "learning_rate": 2.1033122929456635e-06, + "loss": 0.6499, + "step": 3417 + }, + { + "epoch": 1.6740967544396814, + "grad_norm": 0.39761441946029663, + "learning_rate": 2.102024869230413e-06, + "loss": 0.5979, + "step": 3418 + }, + { + "epoch": 1.6745866503368034, + "grad_norm": 0.37792906165122986, + "learning_rate": 2.1007375537905996e-06, + "loss": 0.5868, + "step": 3419 + }, + { + "epoch": 1.6750765462339254, + "grad_norm": 0.3776439130306244, + "learning_rate": 2.0994503469764563e-06, + "loss": 0.5969, + "step": 3420 + }, + { + "epoch": 1.6755664421310472, + "grad_norm": 0.38048797845840454, + "learning_rate": 2.0981632491381893e-06, + "loss": 0.6186, + "step": 3421 + }, + { + "epoch": 1.676056338028169, + "grad_norm": 0.39061909914016724, + "learning_rate": 2.0968762606259735e-06, + "loss": 0.6186, + "step": 3422 + }, + { + "epoch": 1.6765462339252908, + "grad_norm": 0.36019155383110046, + "learning_rate": 2.0955893817899554e-06, + "loss": 0.5972, + "step": 3423 + }, + { + "epoch": 1.6770361298224128, + "grad_norm": 0.38063687086105347, + "learning_rate": 2.09430261298025e-06, + "loss": 0.6185, + "step": 3424 + }, + { + "epoch": 1.6775260257195346, + "grad_norm": 0.3908650875091553, + "learning_rate": 2.093015954546942e-06, + "loss": 0.5962, + "step": 3425 + }, + { + "epoch": 1.6780159216166566, + "grad_norm": 0.3666428029537201, + "learning_rate": 2.0917294068400898e-06, + "loss": 0.5977, + "step": 3426 + }, + { + "epoch": 1.6785058175137784, + "grad_norm": 0.3677361309528351, + "learning_rate": 2.090442970209718e-06, + "loss": 0.5944, + "step": 3427 + }, + { + "epoch": 1.6789957134109001, + "grad_norm": 0.3830455541610718, + "learning_rate": 2.0891566450058204e-06, + "loss": 0.5811, + "step": 3428 + }, + { + "epoch": 1.679485609308022, + "grad_norm": 0.37670838832855225, + "learning_rate": 2.087870431578364e-06, + "loss": 0.6073, + "step": 3429 + }, + { + "epoch": 1.679975505205144, + "grad_norm": 0.36972811818122864, + "learning_rate": 2.0865843302772828e-06, + "loss": 0.6107, + "step": 3430 + }, + { + "epoch": 1.6804654011022657, + "grad_norm": 0.3724224865436554, + "learning_rate": 2.0852983414524824e-06, + "loss": 0.6109, + "step": 3431 + }, + { + "epoch": 1.6809552969993877, + "grad_norm": 0.3685126304626465, + "learning_rate": 2.0840124654538344e-06, + "loss": 0.5994, + "step": 3432 + }, + { + "epoch": 1.6814451928965095, + "grad_norm": 0.3848043978214264, + "learning_rate": 2.0827267026311823e-06, + "loss": 0.5846, + "step": 3433 + }, + { + "epoch": 1.6819350887936313, + "grad_norm": 0.3785199224948883, + "learning_rate": 2.081441053334339e-06, + "loss": 0.6053, + "step": 3434 + }, + { + "epoch": 1.682424984690753, + "grad_norm": 0.38077297806739807, + "learning_rate": 2.0801555179130857e-06, + "loss": 0.5701, + "step": 3435 + }, + { + "epoch": 1.682914880587875, + "grad_norm": 0.37081313133239746, + "learning_rate": 2.0788700967171714e-06, + "loss": 0.5959, + "step": 3436 + }, + { + "epoch": 1.683404776484997, + "grad_norm": 0.3793751299381256, + "learning_rate": 2.077584790096317e-06, + "loss": 0.579, + "step": 3437 + }, + { + "epoch": 1.6838946723821189, + "grad_norm": 0.3884310722351074, + "learning_rate": 2.0762995984002086e-06, + "loss": 0.6155, + "step": 3438 + }, + { + "epoch": 1.6843845682792407, + "grad_norm": 0.3617449998855591, + "learning_rate": 2.0750145219785053e-06, + "loss": 0.5764, + "step": 3439 + }, + { + "epoch": 1.6848744641763624, + "grad_norm": 0.380259245634079, + "learning_rate": 2.0737295611808307e-06, + "loss": 0.6179, + "step": 3440 + }, + { + "epoch": 1.6853643600734842, + "grad_norm": 0.375917911529541, + "learning_rate": 2.0724447163567786e-06, + "loss": 0.6189, + "step": 3441 + }, + { + "epoch": 1.6858542559706062, + "grad_norm": 0.39503973722457886, + "learning_rate": 2.071159987855913e-06, + "loss": 0.6014, + "step": 3442 + }, + { + "epoch": 1.6863441518677282, + "grad_norm": 0.38330790400505066, + "learning_rate": 2.0698753760277635e-06, + "loss": 0.6011, + "step": 3443 + }, + { + "epoch": 1.68683404776485, + "grad_norm": 0.3920890688896179, + "learning_rate": 2.068590881221829e-06, + "loss": 0.5921, + "step": 3444 + }, + { + "epoch": 1.6873239436619718, + "grad_norm": 0.38371896743774414, + "learning_rate": 2.067306503787577e-06, + "loss": 0.6236, + "step": 3445 + }, + { + "epoch": 1.6878138395590936, + "grad_norm": 0.4093542993068695, + "learning_rate": 2.066022244074442e-06, + "loss": 0.6037, + "step": 3446 + }, + { + "epoch": 1.6883037354562156, + "grad_norm": 0.39768296480178833, + "learning_rate": 2.0647381024318295e-06, + "loss": 0.629, + "step": 3447 + }, + { + "epoch": 1.6887936313533374, + "grad_norm": 0.3865445852279663, + "learning_rate": 2.0634540792091072e-06, + "loss": 0.5976, + "step": 3448 + }, + { + "epoch": 1.6892835272504594, + "grad_norm": 0.37838318943977356, + "learning_rate": 2.0621701747556164e-06, + "loss": 0.601, + "step": 3449 + }, + { + "epoch": 1.6897734231475812, + "grad_norm": 0.36038950085639954, + "learning_rate": 2.0608863894206625e-06, + "loss": 0.6228, + "step": 3450 + }, + { + "epoch": 1.690263319044703, + "grad_norm": 0.3883345127105713, + "learning_rate": 2.0596027235535208e-06, + "loss": 0.5514, + "step": 3451 + }, + { + "epoch": 1.6907532149418247, + "grad_norm": 0.37285980582237244, + "learning_rate": 2.0583191775034318e-06, + "loss": 0.6297, + "step": 3452 + }, + { + "epoch": 1.6912431108389467, + "grad_norm": 0.3722602128982544, + "learning_rate": 2.057035751619604e-06, + "loss": 0.6127, + "step": 3453 + }, + { + "epoch": 1.6917330067360687, + "grad_norm": 0.3879085183143616, + "learning_rate": 2.055752446251215e-06, + "loss": 0.611, + "step": 3454 + }, + { + "epoch": 1.6922229026331905, + "grad_norm": 0.3863253593444824, + "learning_rate": 2.054469261747409e-06, + "loss": 0.6143, + "step": 3455 + }, + { + "epoch": 1.6927127985303123, + "grad_norm": 0.3795631527900696, + "learning_rate": 2.0531861984572947e-06, + "loss": 0.5951, + "step": 3456 + }, + { + "epoch": 1.693202694427434, + "grad_norm": 0.3794930875301361, + "learning_rate": 2.0519032567299507e-06, + "loss": 0.5777, + "step": 3457 + }, + { + "epoch": 1.6936925903245559, + "grad_norm": 0.38997718691825867, + "learning_rate": 2.050620436914421e-06, + "loss": 0.5992, + "step": 3458 + }, + { + "epoch": 1.6941824862216779, + "grad_norm": 0.4026414453983307, + "learning_rate": 2.049337739359719e-06, + "loss": 0.6071, + "step": 3459 + }, + { + "epoch": 1.6946723821188, + "grad_norm": 0.3879120349884033, + "learning_rate": 2.0480551644148216e-06, + "loss": 0.605, + "step": 3460 + }, + { + "epoch": 1.6951622780159217, + "grad_norm": 0.3797142803668976, + "learning_rate": 2.046772712428672e-06, + "loss": 0.5934, + "step": 3461 + }, + { + "epoch": 1.6956521739130435, + "grad_norm": 0.372452974319458, + "learning_rate": 2.0454903837501846e-06, + "loss": 0.6168, + "step": 3462 + }, + { + "epoch": 1.6961420698101652, + "grad_norm": 0.39548566937446594, + "learning_rate": 2.0442081787282354e-06, + "loss": 0.6099, + "step": 3463 + }, + { + "epoch": 1.6966319657072872, + "grad_norm": 0.3831363916397095, + "learning_rate": 2.0429260977116683e-06, + "loss": 0.5991, + "step": 3464 + }, + { + "epoch": 1.697121861604409, + "grad_norm": 0.38492274284362793, + "learning_rate": 2.0416441410492948e-06, + "loss": 0.5866, + "step": 3465 + }, + { + "epoch": 1.697611757501531, + "grad_norm": 0.39109763503074646, + "learning_rate": 2.040362309089891e-06, + "loss": 0.6031, + "step": 3466 + }, + { + "epoch": 1.6981016533986528, + "grad_norm": 0.37432533502578735, + "learning_rate": 2.0390806021822e-06, + "loss": 0.612, + "step": 3467 + }, + { + "epoch": 1.6985915492957746, + "grad_norm": 0.38313010334968567, + "learning_rate": 2.0377990206749303e-06, + "loss": 0.6232, + "step": 3468 + }, + { + "epoch": 1.6990814451928964, + "grad_norm": 0.38617610931396484, + "learning_rate": 2.0365175649167557e-06, + "loss": 0.621, + "step": 3469 + }, + { + "epoch": 1.6995713410900184, + "grad_norm": 0.3745715916156769, + "learning_rate": 2.0352362352563175e-06, + "loss": 0.6117, + "step": 3470 + }, + { + "epoch": 1.7000612369871402, + "grad_norm": 0.38122379779815674, + "learning_rate": 2.0339550320422215e-06, + "loss": 0.6235, + "step": 3471 + }, + { + "epoch": 1.7005511328842622, + "grad_norm": 0.399065762758255, + "learning_rate": 2.0326739556230386e-06, + "loss": 0.6206, + "step": 3472 + }, + { + "epoch": 1.701041028781384, + "grad_norm": 0.38074353337287903, + "learning_rate": 2.0313930063473068e-06, + "loss": 0.625, + "step": 3473 + }, + { + "epoch": 1.7015309246785058, + "grad_norm": 0.3773614466190338, + "learning_rate": 2.030112184563529e-06, + "loss": 0.5971, + "step": 3474 + }, + { + "epoch": 1.7020208205756275, + "grad_norm": 0.3810739815235138, + "learning_rate": 2.028831490620171e-06, + "loss": 0.6023, + "step": 3475 + }, + { + "epoch": 1.7025107164727495, + "grad_norm": 0.39031803607940674, + "learning_rate": 2.027550924865668e-06, + "loss": 0.6035, + "step": 3476 + }, + { + "epoch": 1.7030006123698715, + "grad_norm": 0.37158504128456116, + "learning_rate": 2.026270487648417e-06, + "loss": 0.5959, + "step": 3477 + }, + { + "epoch": 1.7034905082669933, + "grad_norm": 0.3977064788341522, + "learning_rate": 2.0249901793167824e-06, + "loss": 0.5903, + "step": 3478 + }, + { + "epoch": 1.7039804041641151, + "grad_norm": 0.3881484270095825, + "learning_rate": 2.023710000219091e-06, + "loss": 0.6038, + "step": 3479 + }, + { + "epoch": 1.704470300061237, + "grad_norm": 0.3855796158313751, + "learning_rate": 2.0224299507036365e-06, + "loss": 0.5806, + "step": 3480 + }, + { + "epoch": 1.704960195958359, + "grad_norm": 0.3648418188095093, + "learning_rate": 2.0211500311186764e-06, + "loss": 0.6058, + "step": 3481 + }, + { + "epoch": 1.7054500918554807, + "grad_norm": 0.38382813334465027, + "learning_rate": 2.0198702418124345e-06, + "loss": 0.5978, + "step": 3482 + }, + { + "epoch": 1.7059399877526027, + "grad_norm": 0.37704893946647644, + "learning_rate": 2.018590583133095e-06, + "loss": 0.6198, + "step": 3483 + }, + { + "epoch": 1.7064298836497245, + "grad_norm": 0.3897862434387207, + "learning_rate": 2.017311055428811e-06, + "loss": 0.6115, + "step": 3484 + }, + { + "epoch": 1.7069197795468463, + "grad_norm": 0.3754596710205078, + "learning_rate": 2.016031659047698e-06, + "loss": 0.5983, + "step": 3485 + }, + { + "epoch": 1.707409675443968, + "grad_norm": 0.3943789601325989, + "learning_rate": 2.014752394337837e-06, + "loss": 0.5656, + "step": 3486 + }, + { + "epoch": 1.70789957134109, + "grad_norm": 0.3722114861011505, + "learning_rate": 2.013473261647271e-06, + "loss": 0.5495, + "step": 3487 + }, + { + "epoch": 1.7083894672382118, + "grad_norm": 0.36804330348968506, + "learning_rate": 2.012194261324008e-06, + "loss": 0.5727, + "step": 3488 + }, + { + "epoch": 1.7088793631353338, + "grad_norm": 0.39970502257347107, + "learning_rate": 2.0109153937160214e-06, + "loss": 0.5949, + "step": 3489 + }, + { + "epoch": 1.7093692590324556, + "grad_norm": 0.38220471143722534, + "learning_rate": 2.0096366591712475e-06, + "loss": 0.6204, + "step": 3490 + }, + { + "epoch": 1.7098591549295774, + "grad_norm": 0.38860082626342773, + "learning_rate": 2.0083580580375848e-06, + "loss": 0.5982, + "step": 3491 + }, + { + "epoch": 1.7103490508266992, + "grad_norm": 0.4036024212837219, + "learning_rate": 2.0070795906628982e-06, + "loss": 0.5886, + "step": 3492 + }, + { + "epoch": 1.7108389467238212, + "grad_norm": 0.3865243196487427, + "learning_rate": 2.0058012573950144e-06, + "loss": 0.6147, + "step": 3493 + }, + { + "epoch": 1.7113288426209432, + "grad_norm": 0.38021403551101685, + "learning_rate": 2.0045230585817253e-06, + "loss": 0.5944, + "step": 3494 + }, + { + "epoch": 1.711818738518065, + "grad_norm": 0.3740420937538147, + "learning_rate": 2.003244994570784e-06, + "loss": 0.6329, + "step": 3495 + }, + { + "epoch": 1.7123086344151868, + "grad_norm": 0.39532268047332764, + "learning_rate": 2.0019670657099075e-06, + "loss": 0.6245, + "step": 3496 + }, + { + "epoch": 1.7127985303123086, + "grad_norm": 0.3659476637840271, + "learning_rate": 2.000689272346778e-06, + "loss": 0.6137, + "step": 3497 + }, + { + "epoch": 1.7132884262094303, + "grad_norm": 0.3915535509586334, + "learning_rate": 1.9994116148290397e-06, + "loss": 0.6026, + "step": 3498 + }, + { + "epoch": 1.7137783221065523, + "grad_norm": 0.3637775480747223, + "learning_rate": 1.9981340935042975e-06, + "loss": 0.611, + "step": 3499 + }, + { + "epoch": 1.7142682180036743, + "grad_norm": 0.37919217348098755, + "learning_rate": 1.9968567087201232e-06, + "loss": 0.6007, + "step": 3500 + }, + { + "epoch": 1.7147581139007961, + "grad_norm": 0.37581774592399597, + "learning_rate": 1.995579460824048e-06, + "loss": 0.594, + "step": 3501 + }, + { + "epoch": 1.715248009797918, + "grad_norm": 0.3896520435810089, + "learning_rate": 1.99430235016357e-06, + "loss": 0.6259, + "step": 3502 + }, + { + "epoch": 1.7157379056950397, + "grad_norm": 0.3800177574157715, + "learning_rate": 1.993025377086145e-06, + "loss": 0.6331, + "step": 3503 + }, + { + "epoch": 1.7162278015921617, + "grad_norm": 0.37584102153778076, + "learning_rate": 1.9917485419391937e-06, + "loss": 0.6091, + "step": 3504 + }, + { + "epoch": 1.7167176974892835, + "grad_norm": 0.39390724897384644, + "learning_rate": 1.9904718450701005e-06, + "loss": 0.6106, + "step": 3505 + }, + { + "epoch": 1.7172075933864055, + "grad_norm": 0.3875463902950287, + "learning_rate": 1.989195286826211e-06, + "loss": 0.5657, + "step": 3506 + }, + { + "epoch": 1.7176974892835273, + "grad_norm": 0.3678591549396515, + "learning_rate": 1.987918867554832e-06, + "loss": 0.605, + "step": 3507 + }, + { + "epoch": 1.718187385180649, + "grad_norm": 0.3832593262195587, + "learning_rate": 1.9866425876032346e-06, + "loss": 0.5698, + "step": 3508 + }, + { + "epoch": 1.7186772810777708, + "grad_norm": 0.3943248689174652, + "learning_rate": 1.98536644731865e-06, + "loss": 0.6092, + "step": 3509 + }, + { + "epoch": 1.7191671769748929, + "grad_norm": 0.36660411953926086, + "learning_rate": 1.984090447048274e-06, + "loss": 0.6124, + "step": 3510 + }, + { + "epoch": 1.7196570728720149, + "grad_norm": 0.3803499639034271, + "learning_rate": 1.982814587139261e-06, + "loss": 0.6154, + "step": 3511 + }, + { + "epoch": 1.7201469687691366, + "grad_norm": 0.3804316818714142, + "learning_rate": 1.9815388679387294e-06, + "loss": 0.6154, + "step": 3512 + }, + { + "epoch": 1.7206368646662584, + "grad_norm": 0.388845831155777, + "learning_rate": 1.9802632897937597e-06, + "loss": 0.5573, + "step": 3513 + }, + { + "epoch": 1.7211267605633802, + "grad_norm": 0.39312776923179626, + "learning_rate": 1.9789878530513924e-06, + "loss": 0.5687, + "step": 3514 + }, + { + "epoch": 1.721616656460502, + "grad_norm": 0.3829296827316284, + "learning_rate": 1.9777125580586292e-06, + "loss": 0.6306, + "step": 3515 + }, + { + "epoch": 1.722106552357624, + "grad_norm": 0.38034629821777344, + "learning_rate": 1.976437405162436e-06, + "loss": 0.6038, + "step": 3516 + }, + { + "epoch": 1.722596448254746, + "grad_norm": 0.3798871636390686, + "learning_rate": 1.975162394709737e-06, + "loss": 0.6098, + "step": 3517 + }, + { + "epoch": 1.7230863441518678, + "grad_norm": 0.38059747219085693, + "learning_rate": 1.9738875270474207e-06, + "loss": 0.5852, + "step": 3518 + }, + { + "epoch": 1.7235762400489896, + "grad_norm": 0.3849741518497467, + "learning_rate": 1.972612802522334e-06, + "loss": 0.5901, + "step": 3519 + }, + { + "epoch": 1.7240661359461114, + "grad_norm": 0.38446924090385437, + "learning_rate": 1.9713382214812847e-06, + "loss": 0.6179, + "step": 3520 + }, + { + "epoch": 1.7245560318432334, + "grad_norm": 0.3749203085899353, + "learning_rate": 1.970063784271045e-06, + "loss": 0.579, + "step": 3521 + }, + { + "epoch": 1.7250459277403551, + "grad_norm": 0.3922043442726135, + "learning_rate": 1.9687894912383447e-06, + "loss": 0.5773, + "step": 3522 + }, + { + "epoch": 1.7255358236374772, + "grad_norm": 0.38487640023231506, + "learning_rate": 1.967515342729875e-06, + "loss": 0.6229, + "step": 3523 + }, + { + "epoch": 1.726025719534599, + "grad_norm": 0.38349777460098267, + "learning_rate": 1.9662413390922885e-06, + "loss": 0.607, + "step": 3524 + }, + { + "epoch": 1.7265156154317207, + "grad_norm": 0.3919426500797272, + "learning_rate": 1.964967480672198e-06, + "loss": 0.6209, + "step": 3525 + }, + { + "epoch": 1.7270055113288425, + "grad_norm": 0.3755127191543579, + "learning_rate": 1.9636937678161775e-06, + "loss": 0.6245, + "step": 3526 + }, + { + "epoch": 1.7274954072259645, + "grad_norm": 0.3918919563293457, + "learning_rate": 1.9624202008707605e-06, + "loss": 0.595, + "step": 3527 + }, + { + "epoch": 1.7279853031230863, + "grad_norm": 0.3748643696308136, + "learning_rate": 1.9611467801824395e-06, + "loss": 0.5944, + "step": 3528 + }, + { + "epoch": 1.7284751990202083, + "grad_norm": 0.3872978389263153, + "learning_rate": 1.959873506097671e-06, + "loss": 0.5619, + "step": 3529 + }, + { + "epoch": 1.72896509491733, + "grad_norm": 0.3749445974826813, + "learning_rate": 1.958600378962869e-06, + "loss": 0.5888, + "step": 3530 + }, + { + "epoch": 1.7294549908144519, + "grad_norm": 0.37095484137535095, + "learning_rate": 1.9573273991244065e-06, + "loss": 0.5931, + "step": 3531 + }, + { + "epoch": 1.7299448867115736, + "grad_norm": 0.3922283351421356, + "learning_rate": 1.9560545669286182e-06, + "loss": 0.5907, + "step": 3532 + }, + { + "epoch": 1.7304347826086957, + "grad_norm": 0.379167377948761, + "learning_rate": 1.9547818827218e-06, + "loss": 0.6135, + "step": 3533 + }, + { + "epoch": 1.7309246785058177, + "grad_norm": 0.39017465710639954, + "learning_rate": 1.9535093468502036e-06, + "loss": 0.5989, + "step": 3534 + }, + { + "epoch": 1.7314145744029394, + "grad_norm": 0.37448781728744507, + "learning_rate": 1.9522369596600433e-06, + "loss": 0.6052, + "step": 3535 + }, + { + "epoch": 1.7319044703000612, + "grad_norm": 0.3726844787597656, + "learning_rate": 1.9509647214974924e-06, + "loss": 0.5966, + "step": 3536 + }, + { + "epoch": 1.732394366197183, + "grad_norm": 0.3825669586658478, + "learning_rate": 1.949692632708684e-06, + "loss": 0.6206, + "step": 3537 + }, + { + "epoch": 1.7328842620943048, + "grad_norm": 0.37715041637420654, + "learning_rate": 1.9484206936397083e-06, + "loss": 0.5987, + "step": 3538 + }, + { + "epoch": 1.7333741579914268, + "grad_norm": 0.3685586750507355, + "learning_rate": 1.9471489046366184e-06, + "loss": 0.5996, + "step": 3539 + }, + { + "epoch": 1.7338640538885488, + "grad_norm": 0.3586096167564392, + "learning_rate": 1.945877266045423e-06, + "loss": 0.5979, + "step": 3540 + }, + { + "epoch": 1.7343539497856706, + "grad_norm": 0.400628000497818, + "learning_rate": 1.9446057782120932e-06, + "loss": 0.6008, + "step": 3541 + }, + { + "epoch": 1.7348438456827924, + "grad_norm": 0.3651375472545624, + "learning_rate": 1.943334441482556e-06, + "loss": 0.6302, + "step": 3542 + }, + { + "epoch": 1.7353337415799142, + "grad_norm": 0.3760320842266083, + "learning_rate": 1.942063256202699e-06, + "loss": 0.5876, + "step": 3543 + }, + { + "epoch": 1.7358236374770362, + "grad_norm": 0.3860057592391968, + "learning_rate": 1.9407922227183683e-06, + "loss": 0.6212, + "step": 3544 + }, + { + "epoch": 1.736313533374158, + "grad_norm": 0.3966740369796753, + "learning_rate": 1.93952134137537e-06, + "loss": 0.5952, + "step": 3545 + }, + { + "epoch": 1.73680342927128, + "grad_norm": 0.403142511844635, + "learning_rate": 1.938250612519465e-06, + "loss": 0.5983, + "step": 3546 + }, + { + "epoch": 1.7372933251684017, + "grad_norm": 0.360950767993927, + "learning_rate": 1.936980036496377e-06, + "loss": 0.5983, + "step": 3547 + }, + { + "epoch": 1.7377832210655235, + "grad_norm": 0.386572927236557, + "learning_rate": 1.9357096136517855e-06, + "loss": 0.5881, + "step": 3548 + }, + { + "epoch": 1.7382731169626453, + "grad_norm": 0.3866228461265564, + "learning_rate": 1.93443934433133e-06, + "loss": 0.6031, + "step": 3549 + }, + { + "epoch": 1.7387630128597673, + "grad_norm": 0.3950206935405731, + "learning_rate": 1.9331692288806074e-06, + "loss": 0.6138, + "step": 3550 + }, + { + "epoch": 1.7392529087568893, + "grad_norm": 0.38213953375816345, + "learning_rate": 1.931899267645171e-06, + "loss": 0.5909, + "step": 3551 + }, + { + "epoch": 1.739742804654011, + "grad_norm": 0.36690258979797363, + "learning_rate": 1.9306294609705358e-06, + "loss": 0.6188, + "step": 3552 + }, + { + "epoch": 1.7402327005511329, + "grad_norm": 0.4004863202571869, + "learning_rate": 1.9293598092021727e-06, + "loss": 0.613, + "step": 3553 + }, + { + "epoch": 1.7407225964482547, + "grad_norm": 0.3919922411441803, + "learning_rate": 1.9280903126855087e-06, + "loss": 0.6132, + "step": 3554 + }, + { + "epoch": 1.7412124923453765, + "grad_norm": 0.4026995897293091, + "learning_rate": 1.9268209717659324e-06, + "loss": 0.5872, + "step": 3555 + }, + { + "epoch": 1.7417023882424985, + "grad_norm": 0.3832418620586395, + "learning_rate": 1.9255517867887868e-06, + "loss": 0.6083, + "step": 3556 + }, + { + "epoch": 1.7421922841396205, + "grad_norm": 0.38685962557792664, + "learning_rate": 1.9242827580993755e-06, + "loss": 0.6224, + "step": 3557 + }, + { + "epoch": 1.7426821800367422, + "grad_norm": 0.39045628905296326, + "learning_rate": 1.923013886042956e-06, + "loss": 0.6068, + "step": 3558 + }, + { + "epoch": 1.743172075933864, + "grad_norm": 0.3593200743198395, + "learning_rate": 1.9217451709647454e-06, + "loss": 0.6038, + "step": 3559 + }, + { + "epoch": 1.7436619718309858, + "grad_norm": 0.3849810063838959, + "learning_rate": 1.9204766132099187e-06, + "loss": 0.6256, + "step": 3560 + }, + { + "epoch": 1.7441518677281078, + "grad_norm": 0.40412622690200806, + "learning_rate": 1.919208213123607e-06, + "loss": 0.6195, + "step": 3561 + }, + { + "epoch": 1.7446417636252296, + "grad_norm": 0.38347676396369934, + "learning_rate": 1.917939971050897e-06, + "loss": 0.619, + "step": 3562 + }, + { + "epoch": 1.7451316595223516, + "grad_norm": 0.3808651566505432, + "learning_rate": 1.9166718873368358e-06, + "loss": 0.6012, + "step": 3563 + }, + { + "epoch": 1.7456215554194734, + "grad_norm": 0.38450101017951965, + "learning_rate": 1.915403962326424e-06, + "loss": 0.581, + "step": 3564 + }, + { + "epoch": 1.7461114513165952, + "grad_norm": 0.38532090187072754, + "learning_rate": 1.9141361963646236e-06, + "loss": 0.5974, + "step": 3565 + }, + { + "epoch": 1.746601347213717, + "grad_norm": 0.36376282572746277, + "learning_rate": 1.9128685897963476e-06, + "loss": 0.5791, + "step": 3566 + }, + { + "epoch": 1.747091243110839, + "grad_norm": 0.39529508352279663, + "learning_rate": 1.911601142966469e-06, + "loss": 0.5762, + "step": 3567 + }, + { + "epoch": 1.747581139007961, + "grad_norm": 0.3996184766292572, + "learning_rate": 1.910333856219817e-06, + "loss": 0.6136, + "step": 3568 + }, + { + "epoch": 1.7480710349050828, + "grad_norm": 0.3758000433444977, + "learning_rate": 1.9090667299011782e-06, + "loss": 0.5757, + "step": 3569 + }, + { + "epoch": 1.7485609308022045, + "grad_norm": 0.38176649808883667, + "learning_rate": 1.9077997643552924e-06, + "loss": 0.5743, + "step": 3570 + }, + { + "epoch": 1.7490508266993263, + "grad_norm": 0.3911806643009186, + "learning_rate": 1.906532959926859e-06, + "loss": 0.5964, + "step": 3571 + }, + { + "epoch": 1.749540722596448, + "grad_norm": 0.36808744072914124, + "learning_rate": 1.9052663169605311e-06, + "loss": 0.5992, + "step": 3572 + }, + { + "epoch": 1.7500306184935701, + "grad_norm": 0.401315301656723, + "learning_rate": 1.9039998358009211e-06, + "loss": 0.5951, + "step": 3573 + }, + { + "epoch": 1.7505205143906921, + "grad_norm": 0.37308159470558167, + "learning_rate": 1.9027335167925931e-06, + "loss": 0.5886, + "step": 3574 + }, + { + "epoch": 1.751010410287814, + "grad_norm": 0.3867308795452118, + "learning_rate": 1.9014673602800696e-06, + "loss": 0.6048, + "step": 3575 + }, + { + "epoch": 1.7515003061849357, + "grad_norm": 0.3810468912124634, + "learning_rate": 1.9002013666078293e-06, + "loss": 0.6148, + "step": 3576 + }, + { + "epoch": 1.7519902020820575, + "grad_norm": 0.3878379464149475, + "learning_rate": 1.8989355361203057e-06, + "loss": 0.5964, + "step": 3577 + }, + { + "epoch": 1.7524800979791795, + "grad_norm": 0.376196026802063, + "learning_rate": 1.897669869161887e-06, + "loss": 0.5848, + "step": 3578 + }, + { + "epoch": 1.7529699938763013, + "grad_norm": 0.38223177194595337, + "learning_rate": 1.896404366076919e-06, + "loss": 0.6031, + "step": 3579 + }, + { + "epoch": 1.7534598897734233, + "grad_norm": 0.37447410821914673, + "learning_rate": 1.8951390272097015e-06, + "loss": 0.5799, + "step": 3580 + }, + { + "epoch": 1.753949785670545, + "grad_norm": 0.3834908902645111, + "learning_rate": 1.8938738529044906e-06, + "loss": 0.6062, + "step": 3581 + }, + { + "epoch": 1.7544396815676668, + "grad_norm": 0.39753979444503784, + "learning_rate": 1.892608843505496e-06, + "loss": 0.5748, + "step": 3582 + }, + { + "epoch": 1.7549295774647886, + "grad_norm": 0.3793331980705261, + "learning_rate": 1.8913439993568832e-06, + "loss": 0.5934, + "step": 3583 + }, + { + "epoch": 1.7554194733619106, + "grad_norm": 0.3890286684036255, + "learning_rate": 1.890079320802775e-06, + "loss": 0.6069, + "step": 3584 + }, + { + "epoch": 1.7559093692590324, + "grad_norm": 0.3740215599536896, + "learning_rate": 1.8888148081872461e-06, + "loss": 0.5932, + "step": 3585 + }, + { + "epoch": 1.7563992651561544, + "grad_norm": 0.39055442810058594, + "learning_rate": 1.8875504618543264e-06, + "loss": 0.6116, + "step": 3586 + }, + { + "epoch": 1.7568891610532762, + "grad_norm": 0.416972279548645, + "learning_rate": 1.8862862821480023e-06, + "loss": 0.5852, + "step": 3587 + }, + { + "epoch": 1.757379056950398, + "grad_norm": 0.3919249176979065, + "learning_rate": 1.8850222694122134e-06, + "loss": 0.6019, + "step": 3588 + }, + { + "epoch": 1.7578689528475198, + "grad_norm": 0.3867700397968292, + "learning_rate": 1.8837584239908557e-06, + "loss": 0.5787, + "step": 3589 + }, + { + "epoch": 1.7583588487446418, + "grad_norm": 0.38942164182662964, + "learning_rate": 1.8824947462277769e-06, + "loss": 0.6124, + "step": 3590 + }, + { + "epoch": 1.7588487446417638, + "grad_norm": 0.3936418294906616, + "learning_rate": 1.8812312364667803e-06, + "loss": 0.6133, + "step": 3591 + }, + { + "epoch": 1.7593386405388856, + "grad_norm": 0.38748809695243835, + "learning_rate": 1.879967895051625e-06, + "loss": 0.5818, + "step": 3592 + }, + { + "epoch": 1.7598285364360073, + "grad_norm": 0.39054208993911743, + "learning_rate": 1.878704722326023e-06, + "loss": 0.6164, + "step": 3593 + }, + { + "epoch": 1.7603184323331291, + "grad_norm": 0.3910379111766815, + "learning_rate": 1.877441718633639e-06, + "loss": 0.6114, + "step": 3594 + }, + { + "epoch": 1.760808328230251, + "grad_norm": 0.38549721240997314, + "learning_rate": 1.8761788843180945e-06, + "loss": 0.5957, + "step": 3595 + }, + { + "epoch": 1.761298224127373, + "grad_norm": 0.38782671093940735, + "learning_rate": 1.8749162197229626e-06, + "loss": 0.6066, + "step": 3596 + }, + { + "epoch": 1.761788120024495, + "grad_norm": 0.3705255389213562, + "learning_rate": 1.8736537251917728e-06, + "loss": 0.6023, + "step": 3597 + }, + { + "epoch": 1.7622780159216167, + "grad_norm": 0.38074418902397156, + "learning_rate": 1.872391401068005e-06, + "loss": 0.6163, + "step": 3598 + }, + { + "epoch": 1.7627679118187385, + "grad_norm": 0.38457804918289185, + "learning_rate": 1.8711292476950948e-06, + "loss": 0.6238, + "step": 3599 + }, + { + "epoch": 1.7632578077158603, + "grad_norm": 0.37200072407722473, + "learning_rate": 1.8698672654164323e-06, + "loss": 0.629, + "step": 3600 + }, + { + "epoch": 1.7637477036129823, + "grad_norm": 0.3685140907764435, + "learning_rate": 1.8686054545753584e-06, + "loss": 0.6195, + "step": 3601 + }, + { + "epoch": 1.764237599510104, + "grad_norm": 0.3752705752849579, + "learning_rate": 1.8673438155151685e-06, + "loss": 0.598, + "step": 3602 + }, + { + "epoch": 1.764727495407226, + "grad_norm": 0.3775447607040405, + "learning_rate": 1.8660823485791128e-06, + "loss": 0.6425, + "step": 3603 + }, + { + "epoch": 1.7652173913043478, + "grad_norm": 0.37740495800971985, + "learning_rate": 1.864821054110393e-06, + "loss": 0.608, + "step": 3604 + }, + { + "epoch": 1.7657072872014696, + "grad_norm": 0.3725001811981201, + "learning_rate": 1.863559932452163e-06, + "loss": 0.5862, + "step": 3605 + }, + { + "epoch": 1.7661971830985914, + "grad_norm": 0.3781859576702118, + "learning_rate": 1.8622989839475323e-06, + "loss": 0.5812, + "step": 3606 + }, + { + "epoch": 1.7666870789957134, + "grad_norm": 0.3779813349246979, + "learning_rate": 1.8610382089395609e-06, + "loss": 0.562, + "step": 3607 + }, + { + "epoch": 1.7671769748928354, + "grad_norm": 0.37670502066612244, + "learning_rate": 1.8597776077712647e-06, + "loss": 0.6117, + "step": 3608 + }, + { + "epoch": 1.7676668707899572, + "grad_norm": 0.37763580679893494, + "learning_rate": 1.8585171807856073e-06, + "loss": 0.5558, + "step": 3609 + }, + { + "epoch": 1.768156766687079, + "grad_norm": 0.3939150869846344, + "learning_rate": 1.8572569283255086e-06, + "loss": 0.5818, + "step": 3610 + }, + { + "epoch": 1.7686466625842008, + "grad_norm": 0.3922536075115204, + "learning_rate": 1.855996850733842e-06, + "loss": 0.5926, + "step": 3611 + }, + { + "epoch": 1.7691365584813226, + "grad_norm": 0.39010435342788696, + "learning_rate": 1.8547369483534306e-06, + "loss": 0.5812, + "step": 3612 + }, + { + "epoch": 1.7696264543784446, + "grad_norm": 0.3917075991630554, + "learning_rate": 1.85347722152705e-06, + "loss": 0.6195, + "step": 3613 + }, + { + "epoch": 1.7701163502755666, + "grad_norm": 0.3862420618534088, + "learning_rate": 1.8522176705974288e-06, + "loss": 0.5746, + "step": 3614 + }, + { + "epoch": 1.7706062461726884, + "grad_norm": 0.3827652037143707, + "learning_rate": 1.8509582959072487e-06, + "loss": 0.6237, + "step": 3615 + }, + { + "epoch": 1.7710961420698101, + "grad_norm": 0.38177651166915894, + "learning_rate": 1.8496990977991437e-06, + "loss": 0.6059, + "step": 3616 + }, + { + "epoch": 1.771586037966932, + "grad_norm": 0.38423702120780945, + "learning_rate": 1.8484400766156952e-06, + "loss": 0.6162, + "step": 3617 + }, + { + "epoch": 1.772075933864054, + "grad_norm": 0.38204824924468994, + "learning_rate": 1.8471812326994425e-06, + "loss": 0.599, + "step": 3618 + }, + { + "epoch": 1.7725658297611757, + "grad_norm": 0.37910789251327515, + "learning_rate": 1.8459225663928726e-06, + "loss": 0.6064, + "step": 3619 + }, + { + "epoch": 1.7730557256582977, + "grad_norm": 0.3950623869895935, + "learning_rate": 1.8446640780384276e-06, + "loss": 0.5921, + "step": 3620 + }, + { + "epoch": 1.7735456215554195, + "grad_norm": 0.37555745244026184, + "learning_rate": 1.8434057679784972e-06, + "loss": 0.6131, + "step": 3621 + }, + { + "epoch": 1.7740355174525413, + "grad_norm": 0.37727898359298706, + "learning_rate": 1.8421476365554244e-06, + "loss": 0.5947, + "step": 3622 + }, + { + "epoch": 1.774525413349663, + "grad_norm": 0.39361172914505005, + "learning_rate": 1.8408896841115054e-06, + "loss": 0.571, + "step": 3623 + }, + { + "epoch": 1.775015309246785, + "grad_norm": 0.38616183400154114, + "learning_rate": 1.839631910988986e-06, + "loss": 0.603, + "step": 3624 + }, + { + "epoch": 1.775505205143907, + "grad_norm": 0.37324464321136475, + "learning_rate": 1.838374317530061e-06, + "loss": 0.6078, + "step": 3625 + }, + { + "epoch": 1.7759951010410289, + "grad_norm": 0.392406702041626, + "learning_rate": 1.837116904076881e-06, + "loss": 0.5973, + "step": 3626 + }, + { + "epoch": 1.7764849969381507, + "grad_norm": 0.3939116597175598, + "learning_rate": 1.8358596709715444e-06, + "loss": 0.6045, + "step": 3627 + }, + { + "epoch": 1.7769748928352724, + "grad_norm": 0.39104020595550537, + "learning_rate": 1.8346026185561016e-06, + "loss": 0.6154, + "step": 3628 + }, + { + "epoch": 1.7774647887323942, + "grad_norm": 0.40108543634414673, + "learning_rate": 1.8333457471725534e-06, + "loss": 0.5887, + "step": 3629 + }, + { + "epoch": 1.7779546846295162, + "grad_norm": 0.3875071406364441, + "learning_rate": 1.832089057162851e-06, + "loss": 0.5957, + "step": 3630 + }, + { + "epoch": 1.7784445805266382, + "grad_norm": 0.3879684507846832, + "learning_rate": 1.830832548868898e-06, + "loss": 0.5909, + "step": 3631 + }, + { + "epoch": 1.77893447642376, + "grad_norm": 0.376252681016922, + "learning_rate": 1.8295762226325472e-06, + "loss": 0.6153, + "step": 3632 + }, + { + "epoch": 1.7794243723208818, + "grad_norm": 0.4069451689720154, + "learning_rate": 1.8283200787956006e-06, + "loss": 0.6045, + "step": 3633 + }, + { + "epoch": 1.7799142682180036, + "grad_norm": 0.40361231565475464, + "learning_rate": 1.8270641176998138e-06, + "loss": 0.5887, + "step": 3634 + }, + { + "epoch": 1.7804041641151256, + "grad_norm": 0.39641204476356506, + "learning_rate": 1.8258083396868891e-06, + "loss": 0.613, + "step": 3635 + }, + { + "epoch": 1.7808940600122474, + "grad_norm": 0.4066336452960968, + "learning_rate": 1.8245527450984835e-06, + "loss": 0.5908, + "step": 3636 + }, + { + "epoch": 1.7813839559093694, + "grad_norm": 0.3865082859992981, + "learning_rate": 1.8232973342761989e-06, + "loss": 0.5924, + "step": 3637 + }, + { + "epoch": 1.7818738518064912, + "grad_norm": 0.38252881169319153, + "learning_rate": 1.82204210756159e-06, + "loss": 0.6263, + "step": 3638 + }, + { + "epoch": 1.782363747703613, + "grad_norm": 0.3891618549823761, + "learning_rate": 1.8207870652961623e-06, + "loss": 0.607, + "step": 3639 + }, + { + "epoch": 1.7828536436007347, + "grad_norm": 0.38898515701293945, + "learning_rate": 1.8195322078213701e-06, + "loss": 0.5878, + "step": 3640 + }, + { + "epoch": 1.7833435394978567, + "grad_norm": 0.3830595016479492, + "learning_rate": 1.8182775354786146e-06, + "loss": 0.6043, + "step": 3641 + }, + { + "epoch": 1.7838334353949785, + "grad_norm": 0.395268052816391, + "learning_rate": 1.8170230486092523e-06, + "loss": 0.5733, + "step": 3642 + }, + { + "epoch": 1.7843233312921005, + "grad_norm": 0.38427770137786865, + "learning_rate": 1.8157687475545843e-06, + "loss": 0.598, + "step": 3643 + }, + { + "epoch": 1.7848132271892223, + "grad_norm": 0.39302128553390503, + "learning_rate": 1.814514632655865e-06, + "loss": 0.6135, + "step": 3644 + }, + { + "epoch": 1.785303123086344, + "grad_norm": 0.4025959372520447, + "learning_rate": 1.8132607042542942e-06, + "loss": 0.5841, + "step": 3645 + }, + { + "epoch": 1.7857930189834659, + "grad_norm": 0.38641998171806335, + "learning_rate": 1.812006962691023e-06, + "loss": 0.6176, + "step": 3646 + }, + { + "epoch": 1.7862829148805879, + "grad_norm": 0.40441253781318665, + "learning_rate": 1.8107534083071535e-06, + "loss": 0.5848, + "step": 3647 + }, + { + "epoch": 1.7867728107777099, + "grad_norm": 0.3823242485523224, + "learning_rate": 1.8095000414437341e-06, + "loss": 0.5914, + "step": 3648 + }, + { + "epoch": 1.7872627066748317, + "grad_norm": 0.3870173394680023, + "learning_rate": 1.808246862441762e-06, + "loss": 0.5928, + "step": 3649 + }, + { + "epoch": 1.7877526025719535, + "grad_norm": 0.3831947445869446, + "learning_rate": 1.8069938716421862e-06, + "loss": 0.5885, + "step": 3650 + }, + { + "epoch": 1.7882424984690752, + "grad_norm": 0.3766680657863617, + "learning_rate": 1.805741069385901e-06, + "loss": 0.6177, + "step": 3651 + }, + { + "epoch": 1.788732394366197, + "grad_norm": 0.38430294394493103, + "learning_rate": 1.804488456013753e-06, + "loss": 0.6301, + "step": 3652 + }, + { + "epoch": 1.789222290263319, + "grad_norm": 0.38485589623451233, + "learning_rate": 1.8032360318665337e-06, + "loss": 0.6274, + "step": 3653 + }, + { + "epoch": 1.789712186160441, + "grad_norm": 0.37430039048194885, + "learning_rate": 1.8019837972849856e-06, + "loss": 0.5901, + "step": 3654 + }, + { + "epoch": 1.7902020820575628, + "grad_norm": 0.38586610555648804, + "learning_rate": 1.8007317526097989e-06, + "loss": 0.58, + "step": 3655 + }, + { + "epoch": 1.7906919779546846, + "grad_norm": 0.38535168766975403, + "learning_rate": 1.7994798981816134e-06, + "loss": 0.5979, + "step": 3656 + }, + { + "epoch": 1.7911818738518064, + "grad_norm": 0.3873651325702667, + "learning_rate": 1.7982282343410135e-06, + "loss": 0.6142, + "step": 3657 + }, + { + "epoch": 1.7916717697489284, + "grad_norm": 0.3887907862663269, + "learning_rate": 1.796976761428536e-06, + "loss": 0.5982, + "step": 3658 + }, + { + "epoch": 1.7921616656460502, + "grad_norm": 0.36854425072669983, + "learning_rate": 1.795725479784663e-06, + "loss": 0.6054, + "step": 3659 + }, + { + "epoch": 1.7926515615431722, + "grad_norm": 0.39905422925949097, + "learning_rate": 1.7944743897498267e-06, + "loss": 0.5771, + "step": 3660 + }, + { + "epoch": 1.793141457440294, + "grad_norm": 0.39013200998306274, + "learning_rate": 1.7932234916644048e-06, + "loss": 0.6118, + "step": 3661 + }, + { + "epoch": 1.7936313533374157, + "grad_norm": 0.3802303969860077, + "learning_rate": 1.7919727858687236e-06, + "loss": 0.5927, + "step": 3662 + }, + { + "epoch": 1.7941212492345375, + "grad_norm": 0.36832910776138306, + "learning_rate": 1.7907222727030591e-06, + "loss": 0.5863, + "step": 3663 + }, + { + "epoch": 1.7946111451316595, + "grad_norm": 0.40358835458755493, + "learning_rate": 1.7894719525076318e-06, + "loss": 0.6003, + "step": 3664 + }, + { + "epoch": 1.7951010410287815, + "grad_norm": 0.3917592465877533, + "learning_rate": 1.7882218256226109e-06, + "loss": 0.5924, + "step": 3665 + }, + { + "epoch": 1.7955909369259033, + "grad_norm": 0.37294870615005493, + "learning_rate": 1.7869718923881144e-06, + "loss": 0.6116, + "step": 3666 + }, + { + "epoch": 1.796080832823025, + "grad_norm": 0.38900813460350037, + "learning_rate": 1.7857221531442062e-06, + "loss": 0.5836, + "step": 3667 + }, + { + "epoch": 1.796570728720147, + "grad_norm": 0.3859376907348633, + "learning_rate": 1.7844726082308967e-06, + "loss": 0.5846, + "step": 3668 + }, + { + "epoch": 1.7970606246172687, + "grad_norm": 0.38490989804267883, + "learning_rate": 1.7832232579881447e-06, + "loss": 0.5821, + "step": 3669 + }, + { + "epoch": 1.7975505205143907, + "grad_norm": 0.38934189081192017, + "learning_rate": 1.7819741027558563e-06, + "loss": 0.6238, + "step": 3670 + }, + { + "epoch": 1.7980404164115127, + "grad_norm": 0.4002920389175415, + "learning_rate": 1.7807251428738842e-06, + "loss": 0.6057, + "step": 3671 + }, + { + "epoch": 1.7985303123086345, + "grad_norm": 0.38662728667259216, + "learning_rate": 1.7794763786820268e-06, + "loss": 0.5933, + "step": 3672 + }, + { + "epoch": 1.7990202082057563, + "grad_norm": 0.3678317666053772, + "learning_rate": 1.7782278105200302e-06, + "loss": 0.5875, + "step": 3673 + }, + { + "epoch": 1.799510104102878, + "grad_norm": 0.39794158935546875, + "learning_rate": 1.776979438727588e-06, + "loss": 0.597, + "step": 3674 + }, + { + "epoch": 1.8, + "grad_norm": 0.3833391070365906, + "learning_rate": 1.775731263644339e-06, + "loss": 0.6262, + "step": 3675 + }, + { + "epoch": 1.8004898958971218, + "grad_norm": 0.3993477523326874, + "learning_rate": 1.7744832856098687e-06, + "loss": 0.6337, + "step": 3676 + }, + { + "epoch": 1.8009797917942438, + "grad_norm": 0.397183358669281, + "learning_rate": 1.7732355049637095e-06, + "loss": 0.5723, + "step": 3677 + }, + { + "epoch": 1.8014696876913656, + "grad_norm": 0.41350847482681274, + "learning_rate": 1.7719879220453397e-06, + "loss": 0.606, + "step": 3678 + }, + { + "epoch": 1.8019595835884874, + "grad_norm": 0.3878408968448639, + "learning_rate": 1.7707405371941855e-06, + "loss": 0.62, + "step": 3679 + }, + { + "epoch": 1.8024494794856092, + "grad_norm": 0.3836469054222107, + "learning_rate": 1.7694933507496159e-06, + "loss": 0.6027, + "step": 3680 + }, + { + "epoch": 1.8029393753827312, + "grad_norm": 0.3701094388961792, + "learning_rate": 1.7682463630509476e-06, + "loss": 0.6298, + "step": 3681 + }, + { + "epoch": 1.8034292712798532, + "grad_norm": 0.38019582629203796, + "learning_rate": 1.7669995744374446e-06, + "loss": 0.5973, + "step": 3682 + }, + { + "epoch": 1.803919167176975, + "grad_norm": 0.36846718192100525, + "learning_rate": 1.7657529852483152e-06, + "loss": 0.5945, + "step": 3683 + }, + { + "epoch": 1.8044090630740968, + "grad_norm": 0.3800068795681, + "learning_rate": 1.7645065958227126e-06, + "loss": 0.5889, + "step": 3684 + }, + { + "epoch": 1.8048989589712185, + "grad_norm": 0.37738272547721863, + "learning_rate": 1.7632604064997383e-06, + "loss": 0.5794, + "step": 3685 + }, + { + "epoch": 1.8053888548683403, + "grad_norm": 0.4023672342300415, + "learning_rate": 1.7620144176184367e-06, + "loss": 0.5722, + "step": 3686 + }, + { + "epoch": 1.8058787507654623, + "grad_norm": 0.3814566135406494, + "learning_rate": 1.7607686295178e-06, + "loss": 0.5848, + "step": 3687 + }, + { + "epoch": 1.8063686466625843, + "grad_norm": 0.4140682518482208, + "learning_rate": 1.7595230425367635e-06, + "loss": 0.5993, + "step": 3688 + }, + { + "epoch": 1.8068585425597061, + "grad_norm": 0.39057818055152893, + "learning_rate": 1.7582776570142085e-06, + "loss": 0.5826, + "step": 3689 + }, + { + "epoch": 1.807348438456828, + "grad_norm": 0.3719637393951416, + "learning_rate": 1.7570324732889634e-06, + "loss": 0.5973, + "step": 3690 + }, + { + "epoch": 1.8078383343539497, + "grad_norm": 0.3809874355792999, + "learning_rate": 1.7557874916997996e-06, + "loss": 0.6337, + "step": 3691 + }, + { + "epoch": 1.8083282302510717, + "grad_norm": 0.3691958487033844, + "learning_rate": 1.754542712585433e-06, + "loss": 0.5961, + "step": 3692 + }, + { + "epoch": 1.8088181261481935, + "grad_norm": 0.3816263675689697, + "learning_rate": 1.7532981362845267e-06, + "loss": 0.598, + "step": 3693 + }, + { + "epoch": 1.8093080220453155, + "grad_norm": 0.381619393825531, + "learning_rate": 1.7520537631356864e-06, + "loss": 0.6176, + "step": 3694 + }, + { + "epoch": 1.8097979179424373, + "grad_norm": 0.38765761256217957, + "learning_rate": 1.7508095934774655e-06, + "loss": 0.5985, + "step": 3695 + }, + { + "epoch": 1.810287813839559, + "grad_norm": 0.3975540101528168, + "learning_rate": 1.7495656276483572e-06, + "loss": 0.6089, + "step": 3696 + }, + { + "epoch": 1.8107777097366808, + "grad_norm": 0.38059040904045105, + "learning_rate": 1.7483218659868034e-06, + "loss": 0.5664, + "step": 3697 + }, + { + "epoch": 1.8112676056338028, + "grad_norm": 0.3720921277999878, + "learning_rate": 1.7470783088311899e-06, + "loss": 0.5912, + "step": 3698 + }, + { + "epoch": 1.8117575015309246, + "grad_norm": 0.38649702072143555, + "learning_rate": 1.7458349565198462e-06, + "loss": 0.605, + "step": 3699 + }, + { + "epoch": 1.8122473974280466, + "grad_norm": 0.3851706087589264, + "learning_rate": 1.7445918093910444e-06, + "loss": 0.5946, + "step": 3700 + }, + { + "epoch": 1.8127372933251684, + "grad_norm": 0.3874337375164032, + "learning_rate": 1.743348867783003e-06, + "loss": 0.5879, + "step": 3701 + }, + { + "epoch": 1.8132271892222902, + "grad_norm": 0.39499136805534363, + "learning_rate": 1.7421061320338845e-06, + "loss": 0.6073, + "step": 3702 + }, + { + "epoch": 1.813717085119412, + "grad_norm": 0.39606010913848877, + "learning_rate": 1.7408636024817951e-06, + "loss": 0.5992, + "step": 3703 + }, + { + "epoch": 1.814206981016534, + "grad_norm": 0.378328412771225, + "learning_rate": 1.7396212794647831e-06, + "loss": 0.604, + "step": 3704 + }, + { + "epoch": 1.814696876913656, + "grad_norm": 0.3515491783618927, + "learning_rate": 1.7383791633208437e-06, + "loss": 0.5693, + "step": 3705 + }, + { + "epoch": 1.8151867728107778, + "grad_norm": 0.3881935179233551, + "learning_rate": 1.7371372543879128e-06, + "loss": 0.5789, + "step": 3706 + }, + { + "epoch": 1.8156766687078996, + "grad_norm": 0.3902762830257416, + "learning_rate": 1.7358955530038737e-06, + "loss": 0.5861, + "step": 3707 + }, + { + "epoch": 1.8161665646050213, + "grad_norm": 0.3731439411640167, + "learning_rate": 1.7346540595065492e-06, + "loss": 0.6056, + "step": 3708 + }, + { + "epoch": 1.8166564605021431, + "grad_norm": 0.38451331853866577, + "learning_rate": 1.7334127742337065e-06, + "loss": 0.616, + "step": 3709 + }, + { + "epoch": 1.8171463563992651, + "grad_norm": 0.39509496092796326, + "learning_rate": 1.7321716975230588e-06, + "loss": 0.591, + "step": 3710 + }, + { + "epoch": 1.8176362522963871, + "grad_norm": 0.38261157274246216, + "learning_rate": 1.7309308297122604e-06, + "loss": 0.5944, + "step": 3711 + }, + { + "epoch": 1.818126148193509, + "grad_norm": 0.39403289556503296, + "learning_rate": 1.7296901711389074e-06, + "loss": 0.5844, + "step": 3712 + }, + { + "epoch": 1.8186160440906307, + "grad_norm": 0.3935330808162689, + "learning_rate": 1.7284497221405422e-06, + "loss": 0.6107, + "step": 3713 + }, + { + "epoch": 1.8191059399877525, + "grad_norm": 0.397656112909317, + "learning_rate": 1.7272094830546475e-06, + "loss": 0.6041, + "step": 3714 + }, + { + "epoch": 1.8195958358848745, + "grad_norm": 0.4063817858695984, + "learning_rate": 1.7259694542186516e-06, + "loss": 0.6091, + "step": 3715 + }, + { + "epoch": 1.8200857317819963, + "grad_norm": 0.3904314637184143, + "learning_rate": 1.7247296359699228e-06, + "loss": 0.5948, + "step": 3716 + }, + { + "epoch": 1.8205756276791183, + "grad_norm": 0.39020347595214844, + "learning_rate": 1.7234900286457726e-06, + "loss": 0.5909, + "step": 3717 + }, + { + "epoch": 1.82106552357624, + "grad_norm": 0.370219349861145, + "learning_rate": 1.7222506325834573e-06, + "loss": 0.5794, + "step": 3718 + }, + { + "epoch": 1.8215554194733619, + "grad_norm": 0.39629262685775757, + "learning_rate": 1.721011448120174e-06, + "loss": 0.5953, + "step": 3719 + }, + { + "epoch": 1.8220453153704836, + "grad_norm": 0.3816978633403778, + "learning_rate": 1.7197724755930612e-06, + "loss": 0.6152, + "step": 3720 + }, + { + "epoch": 1.8225352112676056, + "grad_norm": 0.4015754163265228, + "learning_rate": 1.7185337153392023e-06, + "loss": 0.5846, + "step": 3721 + }, + { + "epoch": 1.8230251071647277, + "grad_norm": 0.37750789523124695, + "learning_rate": 1.7172951676956207e-06, + "loss": 0.5835, + "step": 3722 + }, + { + "epoch": 1.8235150030618494, + "grad_norm": 0.3978610932826996, + "learning_rate": 1.716056832999284e-06, + "loss": 0.6131, + "step": 3723 + }, + { + "epoch": 1.8240048989589712, + "grad_norm": 0.38347798585891724, + "learning_rate": 1.7148187115871e-06, + "loss": 0.6265, + "step": 3724 + }, + { + "epoch": 1.824494794856093, + "grad_norm": 0.38275954127311707, + "learning_rate": 1.7135808037959189e-06, + "loss": 0.6065, + "step": 3725 + }, + { + "epoch": 1.8249846907532148, + "grad_norm": 0.38018834590911865, + "learning_rate": 1.7123431099625338e-06, + "loss": 0.5971, + "step": 3726 + }, + { + "epoch": 1.8254745866503368, + "grad_norm": 0.3864295184612274, + "learning_rate": 1.7111056304236794e-06, + "loss": 0.6025, + "step": 3727 + }, + { + "epoch": 1.8259644825474588, + "grad_norm": 0.4116758406162262, + "learning_rate": 1.70986836551603e-06, + "loss": 0.6098, + "step": 3728 + }, + { + "epoch": 1.8264543784445806, + "grad_norm": 0.3903469145298004, + "learning_rate": 1.7086313155762046e-06, + "loss": 0.6221, + "step": 3729 + }, + { + "epoch": 1.8269442743417024, + "grad_norm": 0.3709939420223236, + "learning_rate": 1.7073944809407618e-06, + "loss": 0.5892, + "step": 3730 + }, + { + "epoch": 1.8274341702388242, + "grad_norm": 0.40171876549720764, + "learning_rate": 1.706157861946201e-06, + "loss": 0.5848, + "step": 3731 + }, + { + "epoch": 1.8279240661359462, + "grad_norm": 0.39863407611846924, + "learning_rate": 1.7049214589289657e-06, + "loss": 0.5725, + "step": 3732 + }, + { + "epoch": 1.828413962033068, + "grad_norm": 0.3828906714916229, + "learning_rate": 1.7036852722254372e-06, + "loss": 0.5999, + "step": 3733 + }, + { + "epoch": 1.82890385793019, + "grad_norm": 0.38119029998779297, + "learning_rate": 1.7024493021719419e-06, + "loss": 0.5962, + "step": 3734 + }, + { + "epoch": 1.8293937538273117, + "grad_norm": 0.3814655542373657, + "learning_rate": 1.7012135491047426e-06, + "loss": 0.6138, + "step": 3735 + }, + { + "epoch": 1.8298836497244335, + "grad_norm": 0.38674652576446533, + "learning_rate": 1.6999780133600468e-06, + "loss": 0.6151, + "step": 3736 + }, + { + "epoch": 1.8303735456215553, + "grad_norm": 0.3824363648891449, + "learning_rate": 1.6987426952740013e-06, + "loss": 0.6024, + "step": 3737 + }, + { + "epoch": 1.8308634415186773, + "grad_norm": 0.3848515748977661, + "learning_rate": 1.6975075951826946e-06, + "loss": 0.606, + "step": 3738 + }, + { + "epoch": 1.831353337415799, + "grad_norm": 0.382053941488266, + "learning_rate": 1.696272713422154e-06, + "loss": 0.5924, + "step": 3739 + }, + { + "epoch": 1.831843233312921, + "grad_norm": 0.3726605474948883, + "learning_rate": 1.6950380503283496e-06, + "loss": 0.6336, + "step": 3740 + }, + { + "epoch": 1.8323331292100429, + "grad_norm": 0.37994149327278137, + "learning_rate": 1.69380360623719e-06, + "loss": 0.5996, + "step": 3741 + }, + { + "epoch": 1.8328230251071647, + "grad_norm": 0.40475526452064514, + "learning_rate": 1.692569381484527e-06, + "loss": 0.5971, + "step": 3742 + }, + { + "epoch": 1.8333129210042864, + "grad_norm": 0.37779107689857483, + "learning_rate": 1.6913353764061496e-06, + "loss": 0.5697, + "step": 3743 + }, + { + "epoch": 1.8338028169014085, + "grad_norm": 0.3795400857925415, + "learning_rate": 1.6901015913377883e-06, + "loss": 0.5709, + "step": 3744 + }, + { + "epoch": 1.8342927127985305, + "grad_norm": 0.4089775085449219, + "learning_rate": 1.6888680266151148e-06, + "loss": 0.6038, + "step": 3745 + }, + { + "epoch": 1.8347826086956522, + "grad_norm": 0.37829867005348206, + "learning_rate": 1.68763468257374e-06, + "loss": 0.608, + "step": 3746 + }, + { + "epoch": 1.835272504592774, + "grad_norm": 0.3721328377723694, + "learning_rate": 1.686401559549213e-06, + "loss": 0.6065, + "step": 3747 + }, + { + "epoch": 1.8357624004898958, + "grad_norm": 0.3968856632709503, + "learning_rate": 1.6851686578770263e-06, + "loss": 0.5958, + "step": 3748 + }, + { + "epoch": 1.8362522963870178, + "grad_norm": 0.3771423399448395, + "learning_rate": 1.683935977892609e-06, + "loss": 0.5964, + "step": 3749 + }, + { + "epoch": 1.8367421922841396, + "grad_norm": 0.3991544544696808, + "learning_rate": 1.682703519931333e-06, + "loss": 0.6318, + "step": 3750 + }, + { + "epoch": 1.8372320881812616, + "grad_norm": 0.38593053817749023, + "learning_rate": 1.6814712843285062e-06, + "loss": 0.598, + "step": 3751 + }, + { + "epoch": 1.8377219840783834, + "grad_norm": 0.37789005041122437, + "learning_rate": 1.6802392714193777e-06, + "loss": 0.6062, + "step": 3752 + }, + { + "epoch": 1.8382118799755052, + "grad_norm": 0.3899378776550293, + "learning_rate": 1.6790074815391378e-06, + "loss": 0.5881, + "step": 3753 + }, + { + "epoch": 1.838701775872627, + "grad_norm": 0.38867485523223877, + "learning_rate": 1.677775915022914e-06, + "loss": 0.5932, + "step": 3754 + }, + { + "epoch": 1.839191671769749, + "grad_norm": 0.37844640016555786, + "learning_rate": 1.6765445722057717e-06, + "loss": 0.5975, + "step": 3755 + }, + { + "epoch": 1.8396815676668707, + "grad_norm": 0.3969273865222931, + "learning_rate": 1.6753134534227188e-06, + "loss": 0.603, + "step": 3756 + }, + { + "epoch": 1.8401714635639927, + "grad_norm": 0.37630051374435425, + "learning_rate": 1.6740825590087e-06, + "loss": 0.5789, + "step": 3757 + }, + { + "epoch": 1.8406613594611145, + "grad_norm": 0.365989625453949, + "learning_rate": 1.6728518892986011e-06, + "loss": 0.6113, + "step": 3758 + }, + { + "epoch": 1.8411512553582363, + "grad_norm": 0.37169885635375977, + "learning_rate": 1.6716214446272439e-06, + "loss": 0.5581, + "step": 3759 + }, + { + "epoch": 1.841641151255358, + "grad_norm": 0.38863876461982727, + "learning_rate": 1.67039122532939e-06, + "loss": 0.5923, + "step": 3760 + }, + { + "epoch": 1.84213104715248, + "grad_norm": 0.36578845977783203, + "learning_rate": 1.6691612317397409e-06, + "loss": 0.5707, + "step": 3761 + }, + { + "epoch": 1.8426209430496021, + "grad_norm": 0.38766974210739136, + "learning_rate": 1.6679314641929363e-06, + "loss": 0.575, + "step": 3762 + }, + { + "epoch": 1.843110838946724, + "grad_norm": 0.382845014333725, + "learning_rate": 1.6667019230235521e-06, + "loss": 0.5706, + "step": 3763 + }, + { + "epoch": 1.8436007348438457, + "grad_norm": 0.37511077523231506, + "learning_rate": 1.6654726085661061e-06, + "loss": 0.6143, + "step": 3764 + }, + { + "epoch": 1.8440906307409675, + "grad_norm": 0.37736672163009644, + "learning_rate": 1.6642435211550518e-06, + "loss": 0.5709, + "step": 3765 + }, + { + "epoch": 1.8445805266380892, + "grad_norm": 0.39024674892425537, + "learning_rate": 1.6630146611247833e-06, + "loss": 0.5957, + "step": 3766 + }, + { + "epoch": 1.8450704225352113, + "grad_norm": 0.37413138151168823, + "learning_rate": 1.66178602880963e-06, + "loss": 0.5886, + "step": 3767 + }, + { + "epoch": 1.8455603184323333, + "grad_norm": 0.39651983976364136, + "learning_rate": 1.6605576245438606e-06, + "loss": 0.5983, + "step": 3768 + }, + { + "epoch": 1.846050214329455, + "grad_norm": 0.39572417736053467, + "learning_rate": 1.6593294486616831e-06, + "loss": 0.5996, + "step": 3769 + }, + { + "epoch": 1.8465401102265768, + "grad_norm": 0.3851615786552429, + "learning_rate": 1.6581015014972423e-06, + "loss": 0.5997, + "step": 3770 + }, + { + "epoch": 1.8470300061236986, + "grad_norm": 0.41647547483444214, + "learning_rate": 1.6568737833846189e-06, + "loss": 0.6016, + "step": 3771 + }, + { + "epoch": 1.8475199020208206, + "grad_norm": 0.36479514837265015, + "learning_rate": 1.6556462946578347e-06, + "loss": 0.5927, + "step": 3772 + }, + { + "epoch": 1.8480097979179424, + "grad_norm": 0.3878510594367981, + "learning_rate": 1.6544190356508467e-06, + "loss": 0.5988, + "step": 3773 + }, + { + "epoch": 1.8484996938150644, + "grad_norm": 0.399386465549469, + "learning_rate": 1.653192006697551e-06, + "loss": 0.6172, + "step": 3774 + }, + { + "epoch": 1.8489895897121862, + "grad_norm": 0.3863047659397125, + "learning_rate": 1.6519652081317795e-06, + "loss": 0.603, + "step": 3775 + }, + { + "epoch": 1.849479485609308, + "grad_norm": 0.3732050359249115, + "learning_rate": 1.6507386402873016e-06, + "loss": 0.5869, + "step": 3776 + }, + { + "epoch": 1.8499693815064298, + "grad_norm": 0.396057665348053, + "learning_rate": 1.6495123034978255e-06, + "loss": 0.5914, + "step": 3777 + }, + { + "epoch": 1.8504592774035518, + "grad_norm": 0.3678869605064392, + "learning_rate": 1.6482861980969961e-06, + "loss": 0.57, + "step": 3778 + }, + { + "epoch": 1.8509491733006738, + "grad_norm": 0.37644243240356445, + "learning_rate": 1.6470603244183931e-06, + "loss": 0.5822, + "step": 3779 + }, + { + "epoch": 1.8514390691977956, + "grad_norm": 0.3729305565357208, + "learning_rate": 1.6458346827955357e-06, + "loss": 0.5945, + "step": 3780 + }, + { + "epoch": 1.8519289650949173, + "grad_norm": 0.3963735103607178, + "learning_rate": 1.644609273561879e-06, + "loss": 0.6001, + "step": 3781 + }, + { + "epoch": 1.8524188609920391, + "grad_norm": 0.36045894026756287, + "learning_rate": 1.6433840970508163e-06, + "loss": 0.6038, + "step": 3782 + }, + { + "epoch": 1.852908756889161, + "grad_norm": 0.3978586494922638, + "learning_rate": 1.642159153595674e-06, + "loss": 0.5985, + "step": 3783 + }, + { + "epoch": 1.853398652786283, + "grad_norm": 0.38642844557762146, + "learning_rate": 1.6409344435297187e-06, + "loss": 0.609, + "step": 3784 + }, + { + "epoch": 1.853888548683405, + "grad_norm": 0.3793650269508362, + "learning_rate": 1.6397099671861516e-06, + "loss": 0.615, + "step": 3785 + }, + { + "epoch": 1.8543784445805267, + "grad_norm": 0.3890509307384491, + "learning_rate": 1.6384857248981117e-06, + "loss": 0.5896, + "step": 3786 + }, + { + "epoch": 1.8548683404776485, + "grad_norm": 0.39722636342048645, + "learning_rate": 1.6372617169986732e-06, + "loss": 0.6155, + "step": 3787 + }, + { + "epoch": 1.8553582363747703, + "grad_norm": 0.3891356885433197, + "learning_rate": 1.6360379438208456e-06, + "loss": 0.6083, + "step": 3788 + }, + { + "epoch": 1.8558481322718923, + "grad_norm": 0.4011010229587555, + "learning_rate": 1.6348144056975772e-06, + "loss": 0.5811, + "step": 3789 + }, + { + "epoch": 1.856338028169014, + "grad_norm": 0.3941974937915802, + "learning_rate": 1.6335911029617515e-06, + "loss": 0.5749, + "step": 3790 + }, + { + "epoch": 1.856827924066136, + "grad_norm": 0.3744082748889923, + "learning_rate": 1.6323680359461852e-06, + "loss": 0.5797, + "step": 3791 + }, + { + "epoch": 1.8573178199632578, + "grad_norm": 0.3848723769187927, + "learning_rate": 1.6311452049836346e-06, + "loss": 0.6012, + "step": 3792 + }, + { + "epoch": 1.8578077158603796, + "grad_norm": 0.40681174397468567, + "learning_rate": 1.6299226104067907e-06, + "loss": 0.6038, + "step": 3793 + }, + { + "epoch": 1.8582976117575014, + "grad_norm": 0.37636029720306396, + "learning_rate": 1.6287002525482775e-06, + "loss": 0.6183, + "step": 3794 + }, + { + "epoch": 1.8587875076546234, + "grad_norm": 0.377697616815567, + "learning_rate": 1.627478131740659e-06, + "loss": 0.5871, + "step": 3795 + }, + { + "epoch": 1.8592774035517452, + "grad_norm": 0.37914136052131653, + "learning_rate": 1.626256248316431e-06, + "loss": 0.5729, + "step": 3796 + }, + { + "epoch": 1.8597672994488672, + "grad_norm": 0.36852604150772095, + "learning_rate": 1.6250346026080283e-06, + "loss": 0.5764, + "step": 3797 + }, + { + "epoch": 1.860257195345989, + "grad_norm": 0.40917909145355225, + "learning_rate": 1.6238131949478168e-06, + "loss": 0.6032, + "step": 3798 + }, + { + "epoch": 1.8607470912431108, + "grad_norm": 0.4085896611213684, + "learning_rate": 1.6225920256681e-06, + "loss": 0.604, + "step": 3799 + }, + { + "epoch": 1.8612369871402326, + "grad_norm": 0.38389062881469727, + "learning_rate": 1.6213710951011176e-06, + "loss": 0.5784, + "step": 3800 + }, + { + "epoch": 1.8617268830373546, + "grad_norm": 0.38840752840042114, + "learning_rate": 1.6201504035790433e-06, + "loss": 0.5529, + "step": 3801 + }, + { + "epoch": 1.8622167789344766, + "grad_norm": 0.38273531198501587, + "learning_rate": 1.6189299514339832e-06, + "loss": 0.5986, + "step": 3802 + }, + { + "epoch": 1.8627066748315984, + "grad_norm": 0.37344321608543396, + "learning_rate": 1.6177097389979828e-06, + "loss": 0.6154, + "step": 3803 + }, + { + "epoch": 1.8631965707287201, + "grad_norm": 0.3794795572757721, + "learning_rate": 1.616489766603019e-06, + "loss": 0.6184, + "step": 3804 + }, + { + "epoch": 1.863686466625842, + "grad_norm": 0.3980724811553955, + "learning_rate": 1.6152700345810063e-06, + "loss": 0.5805, + "step": 3805 + }, + { + "epoch": 1.864176362522964, + "grad_norm": 0.3848017752170563, + "learning_rate": 1.6140505432637904e-06, + "loss": 0.6019, + "step": 3806 + }, + { + "epoch": 1.8646662584200857, + "grad_norm": 0.3839903175830841, + "learning_rate": 1.6128312929831535e-06, + "loss": 0.6122, + "step": 3807 + }, + { + "epoch": 1.8651561543172077, + "grad_norm": 0.3806220591068268, + "learning_rate": 1.6116122840708126e-06, + "loss": 0.6049, + "step": 3808 + }, + { + "epoch": 1.8656460502143295, + "grad_norm": 0.3840685486793518, + "learning_rate": 1.6103935168584184e-06, + "loss": 0.6169, + "step": 3809 + }, + { + "epoch": 1.8661359461114513, + "grad_norm": 0.39384445548057556, + "learning_rate": 1.6091749916775546e-06, + "loss": 0.6124, + "step": 3810 + }, + { + "epoch": 1.866625842008573, + "grad_norm": 0.38584113121032715, + "learning_rate": 1.6079567088597414e-06, + "loss": 0.5754, + "step": 3811 + }, + { + "epoch": 1.867115737905695, + "grad_norm": 0.3917850852012634, + "learning_rate": 1.6067386687364317e-06, + "loss": 0.6, + "step": 3812 + }, + { + "epoch": 1.8676056338028169, + "grad_norm": 0.39033666253089905, + "learning_rate": 1.605520871639013e-06, + "loss": 0.6138, + "step": 3813 + }, + { + "epoch": 1.8680955296999389, + "grad_norm": 0.38975682854652405, + "learning_rate": 1.6043033178988054e-06, + "loss": 0.6044, + "step": 3814 + }, + { + "epoch": 1.8685854255970606, + "grad_norm": 0.38457754254341125, + "learning_rate": 1.603086007847064e-06, + "loss": 0.6031, + "step": 3815 + }, + { + "epoch": 1.8690753214941824, + "grad_norm": 0.3836505711078644, + "learning_rate": 1.6018689418149774e-06, + "loss": 0.6097, + "step": 3816 + }, + { + "epoch": 1.8695652173913042, + "grad_norm": 0.3853705823421478, + "learning_rate": 1.6006521201336685e-06, + "loss": 0.5969, + "step": 3817 + }, + { + "epoch": 1.8700551132884262, + "grad_norm": 0.3854561150074005, + "learning_rate": 1.599435543134191e-06, + "loss": 0.6013, + "step": 3818 + }, + { + "epoch": 1.8705450091855482, + "grad_norm": 0.3928390145301819, + "learning_rate": 1.5982192111475357e-06, + "loss": 0.5838, + "step": 3819 + }, + { + "epoch": 1.87103490508267, + "grad_norm": 0.3833693265914917, + "learning_rate": 1.5970031245046235e-06, + "loss": 0.592, + "step": 3820 + }, + { + "epoch": 1.8715248009797918, + "grad_norm": 0.3838256895542145, + "learning_rate": 1.595787283536312e-06, + "loss": 0.5828, + "step": 3821 + }, + { + "epoch": 1.8720146968769136, + "grad_norm": 0.38237980008125305, + "learning_rate": 1.594571688573388e-06, + "loss": 0.6096, + "step": 3822 + }, + { + "epoch": 1.8725045927740354, + "grad_norm": 0.3838222920894623, + "learning_rate": 1.5933563399465741e-06, + "loss": 0.5924, + "step": 3823 + }, + { + "epoch": 1.8729944886711574, + "grad_norm": 0.38181281089782715, + "learning_rate": 1.5921412379865259e-06, + "loss": 0.6279, + "step": 3824 + }, + { + "epoch": 1.8734843845682794, + "grad_norm": 0.38194912672042847, + "learning_rate": 1.5909263830238302e-06, + "loss": 0.6034, + "step": 3825 + }, + { + "epoch": 1.8739742804654012, + "grad_norm": 0.3822288513183594, + "learning_rate": 1.5897117753890073e-06, + "loss": 0.6127, + "step": 3826 + }, + { + "epoch": 1.874464176362523, + "grad_norm": 0.3692362308502197, + "learning_rate": 1.5884974154125116e-06, + "loss": 0.5826, + "step": 3827 + }, + { + "epoch": 1.8749540722596447, + "grad_norm": 0.38208094239234924, + "learning_rate": 1.5872833034247277e-06, + "loss": 0.596, + "step": 3828 + }, + { + "epoch": 1.8754439681567667, + "grad_norm": 0.38647207617759705, + "learning_rate": 1.5860694397559751e-06, + "loss": 0.6161, + "step": 3829 + }, + { + "epoch": 1.8759338640538885, + "grad_norm": 0.4012698233127594, + "learning_rate": 1.584855824736504e-06, + "loss": 0.6082, + "step": 3830 + }, + { + "epoch": 1.8764237599510105, + "grad_norm": 0.3802081048488617, + "learning_rate": 1.5836424586964972e-06, + "loss": 0.5974, + "step": 3831 + }, + { + "epoch": 1.8769136558481323, + "grad_norm": 0.40389886498451233, + "learning_rate": 1.5824293419660708e-06, + "loss": 0.576, + "step": 3832 + }, + { + "epoch": 1.877403551745254, + "grad_norm": 0.3876023292541504, + "learning_rate": 1.581216474875273e-06, + "loss": 0.5846, + "step": 3833 + }, + { + "epoch": 1.8778934476423759, + "grad_norm": 0.3774127960205078, + "learning_rate": 1.580003857754082e-06, + "loss": 0.5777, + "step": 3834 + }, + { + "epoch": 1.8783833435394979, + "grad_norm": 0.383326917886734, + "learning_rate": 1.5787914909324103e-06, + "loss": 0.5749, + "step": 3835 + }, + { + "epoch": 1.8788732394366199, + "grad_norm": 0.4001682698726654, + "learning_rate": 1.5775793747401015e-06, + "loss": 0.5722, + "step": 3836 + }, + { + "epoch": 1.8793631353337417, + "grad_norm": 0.38101986050605774, + "learning_rate": 1.5763675095069315e-06, + "loss": 0.5916, + "step": 3837 + }, + { + "epoch": 1.8798530312308634, + "grad_norm": 0.3810449540615082, + "learning_rate": 1.5751558955626062e-06, + "loss": 0.6123, + "step": 3838 + }, + { + "epoch": 1.8803429271279852, + "grad_norm": 0.38175517320632935, + "learning_rate": 1.5739445332367647e-06, + "loss": 0.607, + "step": 3839 + }, + { + "epoch": 1.880832823025107, + "grad_norm": 0.3956352174282074, + "learning_rate": 1.5727334228589785e-06, + "loss": 0.5989, + "step": 3840 + }, + { + "epoch": 1.881322718922229, + "grad_norm": 0.38695448637008667, + "learning_rate": 1.5715225647587484e-06, + "loss": 0.6103, + "step": 3841 + }, + { + "epoch": 1.881812614819351, + "grad_norm": 0.3783390522003174, + "learning_rate": 1.570311959265507e-06, + "loss": 0.6142, + "step": 3842 + }, + { + "epoch": 1.8823025107164728, + "grad_norm": 0.37457308173179626, + "learning_rate": 1.5691016067086198e-06, + "loss": 0.5864, + "step": 3843 + }, + { + "epoch": 1.8827924066135946, + "grad_norm": 0.3893515169620514, + "learning_rate": 1.5678915074173815e-06, + "loss": 0.6145, + "step": 3844 + }, + { + "epoch": 1.8832823025107164, + "grad_norm": 0.38309383392333984, + "learning_rate": 1.5666816617210201e-06, + "loss": 0.6086, + "step": 3845 + }, + { + "epoch": 1.8837721984078384, + "grad_norm": 0.3866303563117981, + "learning_rate": 1.5654720699486914e-06, + "loss": 0.6042, + "step": 3846 + }, + { + "epoch": 1.8842620943049602, + "grad_norm": 0.3884117007255554, + "learning_rate": 1.5642627324294852e-06, + "loss": 0.6102, + "step": 3847 + }, + { + "epoch": 1.8847519902020822, + "grad_norm": 0.3813767433166504, + "learning_rate": 1.5630536494924203e-06, + "loss": 0.5997, + "step": 3848 + }, + { + "epoch": 1.885241886099204, + "grad_norm": 0.3944438695907593, + "learning_rate": 1.5618448214664484e-06, + "loss": 0.5935, + "step": 3849 + }, + { + "epoch": 1.8857317819963257, + "grad_norm": 0.376669317483902, + "learning_rate": 1.5606362486804477e-06, + "loss": 0.6062, + "step": 3850 + }, + { + "epoch": 1.8862216778934475, + "grad_norm": 0.3964020907878876, + "learning_rate": 1.5594279314632318e-06, + "loss": 0.5834, + "step": 3851 + }, + { + "epoch": 1.8867115737905695, + "grad_norm": 0.3897985517978668, + "learning_rate": 1.558219870143541e-06, + "loss": 0.599, + "step": 3852 + }, + { + "epoch": 1.8872014696876913, + "grad_norm": 0.39439502358436584, + "learning_rate": 1.5570120650500494e-06, + "loss": 0.5818, + "step": 3853 + }, + { + "epoch": 1.8876913655848133, + "grad_norm": 0.3889116048812866, + "learning_rate": 1.5558045165113577e-06, + "loss": 0.6027, + "step": 3854 + }, + { + "epoch": 1.888181261481935, + "grad_norm": 0.38129112124443054, + "learning_rate": 1.554597224855999e-06, + "loss": 0.5614, + "step": 3855 + }, + { + "epoch": 1.8886711573790569, + "grad_norm": 0.3734036684036255, + "learning_rate": 1.5533901904124365e-06, + "loss": 0.5851, + "step": 3856 + }, + { + "epoch": 1.8891610532761787, + "grad_norm": 0.4071826636791229, + "learning_rate": 1.5521834135090638e-06, + "loss": 0.5849, + "step": 3857 + }, + { + "epoch": 1.8896509491733007, + "grad_norm": 0.3796846270561218, + "learning_rate": 1.5509768944742015e-06, + "loss": 0.6284, + "step": 3858 + }, + { + "epoch": 1.8901408450704227, + "grad_norm": 0.3854471445083618, + "learning_rate": 1.549770633636104e-06, + "loss": 0.6065, + "step": 3859 + }, + { + "epoch": 1.8906307409675445, + "grad_norm": 0.3786892592906952, + "learning_rate": 1.5485646313229536e-06, + "loss": 0.5997, + "step": 3860 + }, + { + "epoch": 1.8911206368646662, + "grad_norm": 0.3957558274269104, + "learning_rate": 1.5473588878628609e-06, + "loss": 0.5903, + "step": 3861 + }, + { + "epoch": 1.891610532761788, + "grad_norm": 0.38629743456840515, + "learning_rate": 1.546153403583869e-06, + "loss": 0.5969, + "step": 3862 + }, + { + "epoch": 1.8921004286589098, + "grad_norm": 0.3966604769229889, + "learning_rate": 1.5449481788139481e-06, + "loss": 0.5983, + "step": 3863 + }, + { + "epoch": 1.8925903245560318, + "grad_norm": 0.3782338500022888, + "learning_rate": 1.5437432138810001e-06, + "loss": 0.6031, + "step": 3864 + }, + { + "epoch": 1.8930802204531538, + "grad_norm": 0.38777637481689453, + "learning_rate": 1.5425385091128526e-06, + "loss": 0.583, + "step": 3865 + }, + { + "epoch": 1.8935701163502756, + "grad_norm": 0.3783535063266754, + "learning_rate": 1.541334064837266e-06, + "loss": 0.6116, + "step": 3866 + }, + { + "epoch": 1.8940600122473974, + "grad_norm": 0.38911762833595276, + "learning_rate": 1.5401298813819277e-06, + "loss": 0.6011, + "step": 3867 + }, + { + "epoch": 1.8945499081445192, + "grad_norm": 0.38936376571655273, + "learning_rate": 1.5389259590744566e-06, + "loss": 0.5782, + "step": 3868 + }, + { + "epoch": 1.8950398040416412, + "grad_norm": 0.3972673714160919, + "learning_rate": 1.5377222982423968e-06, + "loss": 0.5763, + "step": 3869 + }, + { + "epoch": 1.895529699938763, + "grad_norm": 0.39196959137916565, + "learning_rate": 1.5365188992132235e-06, + "loss": 0.6043, + "step": 3870 + }, + { + "epoch": 1.896019595835885, + "grad_norm": 0.3976895809173584, + "learning_rate": 1.5353157623143417e-06, + "loss": 0.585, + "step": 3871 + }, + { + "epoch": 1.8965094917330068, + "grad_norm": 0.3683302104473114, + "learning_rate": 1.5341128878730838e-06, + "loss": 0.6135, + "step": 3872 + }, + { + "epoch": 1.8969993876301285, + "grad_norm": 0.3892800509929657, + "learning_rate": 1.5329102762167091e-06, + "loss": 0.6052, + "step": 3873 + }, + { + "epoch": 1.8974892835272503, + "grad_norm": 0.3742842972278595, + "learning_rate": 1.531707927672409e-06, + "loss": 0.606, + "step": 3874 + }, + { + "epoch": 1.8979791794243723, + "grad_norm": 0.3881598711013794, + "learning_rate": 1.5305058425672997e-06, + "loss": 0.5912, + "step": 3875 + }, + { + "epoch": 1.8984690753214943, + "grad_norm": 0.37741315364837646, + "learning_rate": 1.52930402122843e-06, + "loss": 0.6087, + "step": 3876 + }, + { + "epoch": 1.8989589712186161, + "grad_norm": 0.39100179076194763, + "learning_rate": 1.5281024639827718e-06, + "loss": 0.573, + "step": 3877 + }, + { + "epoch": 1.899448867115738, + "grad_norm": 0.3861585259437561, + "learning_rate": 1.526901171157229e-06, + "loss": 0.6036, + "step": 3878 + }, + { + "epoch": 1.8999387630128597, + "grad_norm": 0.3918566107749939, + "learning_rate": 1.5257001430786329e-06, + "loss": 0.5893, + "step": 3879 + }, + { + "epoch": 1.9004286589099815, + "grad_norm": 0.37904560565948486, + "learning_rate": 1.5244993800737415e-06, + "loss": 0.6196, + "step": 3880 + }, + { + "epoch": 1.9009185548071035, + "grad_norm": 0.37171557545661926, + "learning_rate": 1.5232988824692406e-06, + "loss": 0.5788, + "step": 3881 + }, + { + "epoch": 1.9014084507042255, + "grad_norm": 0.3903721272945404, + "learning_rate": 1.5220986505917463e-06, + "loss": 0.5886, + "step": 3882 + }, + { + "epoch": 1.9018983466013473, + "grad_norm": 0.3870047330856323, + "learning_rate": 1.520898684767799e-06, + "loss": 0.5985, + "step": 3883 + }, + { + "epoch": 1.902388242498469, + "grad_norm": 0.3766629695892334, + "learning_rate": 1.5196989853238703e-06, + "loss": 0.5974, + "step": 3884 + }, + { + "epoch": 1.9028781383955908, + "grad_norm": 0.3901977241039276, + "learning_rate": 1.5184995525863558e-06, + "loss": 0.6018, + "step": 3885 + }, + { + "epoch": 1.9033680342927128, + "grad_norm": 0.37363532185554504, + "learning_rate": 1.51730038688158e-06, + "loss": 0.5891, + "step": 3886 + }, + { + "epoch": 1.9038579301898346, + "grad_norm": 0.3979629874229431, + "learning_rate": 1.5161014885357967e-06, + "loss": 0.6147, + "step": 3887 + }, + { + "epoch": 1.9043478260869566, + "grad_norm": 0.3753284811973572, + "learning_rate": 1.5149028578751843e-06, + "loss": 0.5803, + "step": 3888 + }, + { + "epoch": 1.9048377219840784, + "grad_norm": 0.3932628035545349, + "learning_rate": 1.5137044952258481e-06, + "loss": 0.585, + "step": 3889 + }, + { + "epoch": 1.9053276178812002, + "grad_norm": 0.40480080246925354, + "learning_rate": 1.512506400913823e-06, + "loss": 0.5938, + "step": 3890 + }, + { + "epoch": 1.905817513778322, + "grad_norm": 0.410284161567688, + "learning_rate": 1.511308575265069e-06, + "loss": 0.5628, + "step": 3891 + }, + { + "epoch": 1.906307409675444, + "grad_norm": 0.36134013533592224, + "learning_rate": 1.5101110186054745e-06, + "loss": 0.5972, + "step": 3892 + }, + { + "epoch": 1.906797305572566, + "grad_norm": 0.39506784081459045, + "learning_rate": 1.5089137312608523e-06, + "loss": 0.6231, + "step": 3893 + }, + { + "epoch": 1.9072872014696878, + "grad_norm": 0.4061780571937561, + "learning_rate": 1.5077167135569438e-06, + "loss": 0.5975, + "step": 3894 + }, + { + "epoch": 1.9077770973668096, + "grad_norm": 0.3793382942676544, + "learning_rate": 1.506519965819417e-06, + "loss": 0.5666, + "step": 3895 + }, + { + "epoch": 1.9082669932639313, + "grad_norm": 0.3865133821964264, + "learning_rate": 1.5053234883738665e-06, + "loss": 0.6124, + "step": 3896 + }, + { + "epoch": 1.9087568891610531, + "grad_norm": 0.38676655292510986, + "learning_rate": 1.5041272815458114e-06, + "loss": 0.5888, + "step": 3897 + }, + { + "epoch": 1.9092467850581751, + "grad_norm": 0.3978981673717499, + "learning_rate": 1.5029313456607002e-06, + "loss": 0.6045, + "step": 3898 + }, + { + "epoch": 1.9097366809552971, + "grad_norm": 0.3879678249359131, + "learning_rate": 1.5017356810439054e-06, + "loss": 0.6113, + "step": 3899 + }, + { + "epoch": 1.910226576852419, + "grad_norm": 0.37146538496017456, + "learning_rate": 1.5005402880207272e-06, + "loss": 0.5744, + "step": 3900 + }, + { + "epoch": 1.9107164727495407, + "grad_norm": 0.37949562072753906, + "learning_rate": 1.4993451669163905e-06, + "loss": 0.6217, + "step": 3901 + }, + { + "epoch": 1.9112063686466625, + "grad_norm": 0.3931947350502014, + "learning_rate": 1.498150318056047e-06, + "loss": 0.623, + "step": 3902 + }, + { + "epoch": 1.9116962645437845, + "grad_norm": 0.40189266204833984, + "learning_rate": 1.4969557417647745e-06, + "loss": 0.5923, + "step": 3903 + }, + { + "epoch": 1.9121861604409063, + "grad_norm": 0.38631683588027954, + "learning_rate": 1.495761438367577e-06, + "loss": 0.5869, + "step": 3904 + }, + { + "epoch": 1.9126760563380283, + "grad_norm": 0.39588209986686707, + "learning_rate": 1.494567408189382e-06, + "loss": 0.599, + "step": 3905 + }, + { + "epoch": 1.91316595223515, + "grad_norm": 0.3810942769050598, + "learning_rate": 1.4933736515550456e-06, + "loss": 0.5758, + "step": 3906 + }, + { + "epoch": 1.9136558481322719, + "grad_norm": 0.40050971508026123, + "learning_rate": 1.4921801687893478e-06, + "loss": 0.6058, + "step": 3907 + }, + { + "epoch": 1.9141457440293936, + "grad_norm": 0.38427913188934326, + "learning_rate": 1.4909869602169951e-06, + "loss": 0.6156, + "step": 3908 + }, + { + "epoch": 1.9146356399265156, + "grad_norm": 0.3925589323043823, + "learning_rate": 1.489794026162618e-06, + "loss": 0.6081, + "step": 3909 + }, + { + "epoch": 1.9151255358236374, + "grad_norm": 0.3683278262615204, + "learning_rate": 1.488601366950773e-06, + "loss": 0.5875, + "step": 3910 + }, + { + "epoch": 1.9156154317207594, + "grad_norm": 0.38116928935050964, + "learning_rate": 1.4874089829059423e-06, + "loss": 0.5925, + "step": 3911 + }, + { + "epoch": 1.9161053276178812, + "grad_norm": 0.39620816707611084, + "learning_rate": 1.4862168743525337e-06, + "loss": 0.6221, + "step": 3912 + }, + { + "epoch": 1.916595223515003, + "grad_norm": 0.4025929570198059, + "learning_rate": 1.4850250416148776e-06, + "loss": 0.6024, + "step": 3913 + }, + { + "epoch": 1.9170851194121248, + "grad_norm": 0.3705156743526459, + "learning_rate": 1.483833485017232e-06, + "loss": 0.6048, + "step": 3914 + }, + { + "epoch": 1.9175750153092468, + "grad_norm": 0.39514997601509094, + "learning_rate": 1.4826422048837777e-06, + "loss": 0.5894, + "step": 3915 + }, + { + "epoch": 1.9180649112063688, + "grad_norm": 0.3818920850753784, + "learning_rate": 1.4814512015386234e-06, + "loss": 0.6192, + "step": 3916 + }, + { + "epoch": 1.9185548071034906, + "grad_norm": 0.4141332805156708, + "learning_rate": 1.4802604753057987e-06, + "loss": 0.6315, + "step": 3917 + }, + { + "epoch": 1.9190447030006124, + "grad_norm": 0.3871549665927887, + "learning_rate": 1.479070026509259e-06, + "loss": 0.576, + "step": 3918 + }, + { + "epoch": 1.9195345988977341, + "grad_norm": 0.3829684555530548, + "learning_rate": 1.4778798554728866e-06, + "loss": 0.5688, + "step": 3919 + }, + { + "epoch": 1.920024494794856, + "grad_norm": 0.4037439823150635, + "learning_rate": 1.4766899625204859e-06, + "loss": 0.6285, + "step": 3920 + }, + { + "epoch": 1.920514390691978, + "grad_norm": 0.3775520920753479, + "learning_rate": 1.4755003479757845e-06, + "loss": 0.6157, + "step": 3921 + }, + { + "epoch": 1.9210042865891, + "grad_norm": 0.3747967481613159, + "learning_rate": 1.4743110121624376e-06, + "loss": 0.5943, + "step": 3922 + }, + { + "epoch": 1.9214941824862217, + "grad_norm": 0.3814570903778076, + "learning_rate": 1.4731219554040233e-06, + "loss": 0.5949, + "step": 3923 + }, + { + "epoch": 1.9219840783833435, + "grad_norm": 0.38599488139152527, + "learning_rate": 1.4719331780240406e-06, + "loss": 0.593, + "step": 3924 + }, + { + "epoch": 1.9224739742804653, + "grad_norm": 0.3969975709915161, + "learning_rate": 1.470744680345918e-06, + "loss": 0.5856, + "step": 3925 + }, + { + "epoch": 1.9229638701775873, + "grad_norm": 0.3717944622039795, + "learning_rate": 1.469556462693003e-06, + "loss": 0.5999, + "step": 3926 + }, + { + "epoch": 1.923453766074709, + "grad_norm": 0.38463103771209717, + "learning_rate": 1.4683685253885716e-06, + "loss": 0.594, + "step": 3927 + }, + { + "epoch": 1.923943661971831, + "grad_norm": 0.38801389932632446, + "learning_rate": 1.4671808687558187e-06, + "loss": 0.6091, + "step": 3928 + }, + { + "epoch": 1.9244335578689529, + "grad_norm": 0.3856598138809204, + "learning_rate": 1.4659934931178655e-06, + "loss": 0.6212, + "step": 3929 + }, + { + "epoch": 1.9249234537660747, + "grad_norm": 0.3670612573623657, + "learning_rate": 1.4648063987977569e-06, + "loss": 0.6081, + "step": 3930 + }, + { + "epoch": 1.9254133496631964, + "grad_norm": 0.37597888708114624, + "learning_rate": 1.463619586118461e-06, + "loss": 0.6, + "step": 3931 + }, + { + "epoch": 1.9259032455603184, + "grad_norm": 0.38681432604789734, + "learning_rate": 1.4624330554028676e-06, + "loss": 0.5803, + "step": 3932 + }, + { + "epoch": 1.9263931414574404, + "grad_norm": 0.37726280093193054, + "learning_rate": 1.4612468069737927e-06, + "loss": 0.5763, + "step": 3933 + }, + { + "epoch": 1.9268830373545622, + "grad_norm": 0.3719038963317871, + "learning_rate": 1.4600608411539723e-06, + "loss": 0.5945, + "step": 3934 + }, + { + "epoch": 1.927372933251684, + "grad_norm": 0.38579002022743225, + "learning_rate": 1.4588751582660698e-06, + "loss": 0.5943, + "step": 3935 + }, + { + "epoch": 1.9278628291488058, + "grad_norm": 0.3750595152378082, + "learning_rate": 1.4576897586326666e-06, + "loss": 0.6, + "step": 3936 + }, + { + "epoch": 1.9283527250459276, + "grad_norm": 0.38385844230651855, + "learning_rate": 1.4565046425762702e-06, + "loss": 0.6103, + "step": 3937 + }, + { + "epoch": 1.9288426209430496, + "grad_norm": 0.40029051899909973, + "learning_rate": 1.4553198104193094e-06, + "loss": 0.5876, + "step": 3938 + }, + { + "epoch": 1.9293325168401716, + "grad_norm": 0.39182162284851074, + "learning_rate": 1.4541352624841392e-06, + "loss": 0.5889, + "step": 3939 + }, + { + "epoch": 1.9298224127372934, + "grad_norm": 0.3815484642982483, + "learning_rate": 1.4529509990930319e-06, + "loss": 0.6239, + "step": 3940 + }, + { + "epoch": 1.9303123086344152, + "grad_norm": 0.3835720717906952, + "learning_rate": 1.451767020568185e-06, + "loss": 0.5956, + "step": 3941 + }, + { + "epoch": 1.930802204531537, + "grad_norm": 0.3855348527431488, + "learning_rate": 1.4505833272317204e-06, + "loss": 0.5795, + "step": 3942 + }, + { + "epoch": 1.931292100428659, + "grad_norm": 0.39988335967063904, + "learning_rate": 1.4493999194056812e-06, + "loss": 0.5926, + "step": 3943 + }, + { + "epoch": 1.9317819963257807, + "grad_norm": 0.40186038613319397, + "learning_rate": 1.4482167974120286e-06, + "loss": 0.6211, + "step": 3944 + }, + { + "epoch": 1.9322718922229027, + "grad_norm": 0.3931126296520233, + "learning_rate": 1.447033961572653e-06, + "loss": 0.6154, + "step": 3945 + }, + { + "epoch": 1.9327617881200245, + "grad_norm": 0.38293877243995667, + "learning_rate": 1.4458514122093628e-06, + "loss": 0.6126, + "step": 3946 + }, + { + "epoch": 1.9332516840171463, + "grad_norm": 0.3773130476474762, + "learning_rate": 1.44466914964389e-06, + "loss": 0.5819, + "step": 3947 + }, + { + "epoch": 1.933741579914268, + "grad_norm": 0.3978535830974579, + "learning_rate": 1.4434871741978846e-06, + "loss": 0.5946, + "step": 3948 + }, + { + "epoch": 1.93423147581139, + "grad_norm": 0.3922695517539978, + "learning_rate": 1.4423054861929252e-06, + "loss": 0.5876, + "step": 3949 + }, + { + "epoch": 1.934721371708512, + "grad_norm": 0.38319912552833557, + "learning_rate": 1.4411240859505076e-06, + "loss": 0.624, + "step": 3950 + }, + { + "epoch": 1.935211267605634, + "grad_norm": 0.37788963317871094, + "learning_rate": 1.4399429737920507e-06, + "loss": 0.6111, + "step": 3951 + }, + { + "epoch": 1.9357011635027557, + "grad_norm": 0.3694787323474884, + "learning_rate": 1.438762150038894e-06, + "loss": 0.6024, + "step": 3952 + }, + { + "epoch": 1.9361910593998775, + "grad_norm": 0.39737796783447266, + "learning_rate": 1.4375816150123e-06, + "loss": 0.583, + "step": 3953 + }, + { + "epoch": 1.9366809552969992, + "grad_norm": 0.3836512863636017, + "learning_rate": 1.4364013690334516e-06, + "loss": 0.5845, + "step": 3954 + }, + { + "epoch": 1.9371708511941212, + "grad_norm": 0.4106494188308716, + "learning_rate": 1.4352214124234538e-06, + "loss": 0.5994, + "step": 3955 + }, + { + "epoch": 1.9376607470912433, + "grad_norm": 0.3886888325214386, + "learning_rate": 1.434041745503332e-06, + "loss": 0.6088, + "step": 3956 + }, + { + "epoch": 1.938150642988365, + "grad_norm": 0.38353875279426575, + "learning_rate": 1.4328623685940335e-06, + "loss": 0.6006, + "step": 3957 + }, + { + "epoch": 1.9386405388854868, + "grad_norm": 0.4012164771556854, + "learning_rate": 1.4316832820164256e-06, + "loss": 0.6131, + "step": 3958 + }, + { + "epoch": 1.9391304347826086, + "grad_norm": 0.3649507462978363, + "learning_rate": 1.4305044860913003e-06, + "loss": 0.6122, + "step": 3959 + }, + { + "epoch": 1.9396203306797306, + "grad_norm": 0.40850579738616943, + "learning_rate": 1.4293259811393648e-06, + "loss": 0.596, + "step": 3960 + }, + { + "epoch": 1.9401102265768524, + "grad_norm": 0.38226813077926636, + "learning_rate": 1.42814776748125e-06, + "loss": 0.5985, + "step": 3961 + }, + { + "epoch": 1.9406001224739744, + "grad_norm": 0.39838075637817383, + "learning_rate": 1.426969845437509e-06, + "loss": 0.5884, + "step": 3962 + }, + { + "epoch": 1.9410900183710962, + "grad_norm": 0.41625332832336426, + "learning_rate": 1.4257922153286153e-06, + "loss": 0.5995, + "step": 3963 + }, + { + "epoch": 1.941579914268218, + "grad_norm": 0.3875627815723419, + "learning_rate": 1.424614877474958e-06, + "loss": 0.5982, + "step": 3964 + }, + { + "epoch": 1.9420698101653397, + "grad_norm": 0.3686884641647339, + "learning_rate": 1.4234378321968539e-06, + "loss": 0.599, + "step": 3965 + }, + { + "epoch": 1.9425597060624618, + "grad_norm": 0.3777409493923187, + "learning_rate": 1.4222610798145353e-06, + "loss": 0.5892, + "step": 3966 + }, + { + "epoch": 1.9430496019595835, + "grad_norm": 0.38050103187561035, + "learning_rate": 1.4210846206481568e-06, + "loss": 0.6131, + "step": 3967 + }, + { + "epoch": 1.9435394978567055, + "grad_norm": 0.36633023619651794, + "learning_rate": 1.4199084550177928e-06, + "loss": 0.5653, + "step": 3968 + }, + { + "epoch": 1.9440293937538273, + "grad_norm": 0.4001869559288025, + "learning_rate": 1.4187325832434373e-06, + "loss": 0.5875, + "step": 3969 + }, + { + "epoch": 1.9445192896509491, + "grad_norm": 0.3879564106464386, + "learning_rate": 1.417557005645005e-06, + "loss": 0.5871, + "step": 3970 + }, + { + "epoch": 1.945009185548071, + "grad_norm": 0.37091800570487976, + "learning_rate": 1.4163817225423307e-06, + "loss": 0.5962, + "step": 3971 + }, + { + "epoch": 1.945499081445193, + "grad_norm": 0.40128859877586365, + "learning_rate": 1.4152067342551688e-06, + "loss": 0.5966, + "step": 3972 + }, + { + "epoch": 1.945988977342315, + "grad_norm": 0.3757215440273285, + "learning_rate": 1.4140320411031928e-06, + "loss": 0.5841, + "step": 3973 + }, + { + "epoch": 1.9464788732394367, + "grad_norm": 0.39411625266075134, + "learning_rate": 1.4128576434059965e-06, + "loss": 0.6163, + "step": 3974 + }, + { + "epoch": 1.9469687691365585, + "grad_norm": 0.38830918073654175, + "learning_rate": 1.4116835414830956e-06, + "loss": 0.5893, + "step": 3975 + }, + { + "epoch": 1.9474586650336803, + "grad_norm": 0.4110320210456848, + "learning_rate": 1.4105097356539204e-06, + "loss": 0.59, + "step": 3976 + }, + { + "epoch": 1.947948560930802, + "grad_norm": 0.38352492451667786, + "learning_rate": 1.4093362262378239e-06, + "loss": 0.5781, + "step": 3977 + }, + { + "epoch": 1.948438456827924, + "grad_norm": 0.3802383542060852, + "learning_rate": 1.408163013554079e-06, + "loss": 0.5727, + "step": 3978 + }, + { + "epoch": 1.948928352725046, + "grad_norm": 0.38139742612838745, + "learning_rate": 1.4069900979218776e-06, + "loss": 0.603, + "step": 3979 + }, + { + "epoch": 1.9494182486221678, + "grad_norm": 0.3807366192340851, + "learning_rate": 1.4058174796603263e-06, + "loss": 0.5994, + "step": 3980 + }, + { + "epoch": 1.9499081445192896, + "grad_norm": 0.3854959309101105, + "learning_rate": 1.4046451590884576e-06, + "loss": 0.6138, + "step": 3981 + }, + { + "epoch": 1.9503980404164114, + "grad_norm": 0.3887409269809723, + "learning_rate": 1.4034731365252195e-06, + "loss": 0.6306, + "step": 3982 + }, + { + "epoch": 1.9508879363135334, + "grad_norm": 0.40196579694747925, + "learning_rate": 1.4023014122894785e-06, + "loss": 0.6123, + "step": 3983 + }, + { + "epoch": 1.9513778322106552, + "grad_norm": 0.394616037607193, + "learning_rate": 1.401129986700021e-06, + "loss": 0.6161, + "step": 3984 + }, + { + "epoch": 1.9518677281077772, + "grad_norm": 0.40861472487449646, + "learning_rate": 1.399958860075552e-06, + "loss": 0.5912, + "step": 3985 + }, + { + "epoch": 1.952357624004899, + "grad_norm": 0.382912278175354, + "learning_rate": 1.3987880327346953e-06, + "loss": 0.5952, + "step": 3986 + }, + { + "epoch": 1.9528475199020208, + "grad_norm": 0.3746025562286377, + "learning_rate": 1.3976175049959927e-06, + "loss": 0.6058, + "step": 3987 + }, + { + "epoch": 1.9533374157991426, + "grad_norm": 0.3958646357059479, + "learning_rate": 1.3964472771779048e-06, + "loss": 0.5963, + "step": 3988 + }, + { + "epoch": 1.9538273116962646, + "grad_norm": 0.3763718008995056, + "learning_rate": 1.3952773495988103e-06, + "loss": 0.5773, + "step": 3989 + }, + { + "epoch": 1.9543172075933866, + "grad_norm": 0.40086421370506287, + "learning_rate": 1.3941077225770069e-06, + "loss": 0.5878, + "step": 3990 + }, + { + "epoch": 1.9548071034905083, + "grad_norm": 0.3904908001422882, + "learning_rate": 1.3929383964307103e-06, + "loss": 0.6169, + "step": 3991 + }, + { + "epoch": 1.9552969993876301, + "grad_norm": 0.39657434821128845, + "learning_rate": 1.3917693714780539e-06, + "loss": 0.6146, + "step": 3992 + }, + { + "epoch": 1.955786895284752, + "grad_norm": 0.39307424426078796, + "learning_rate": 1.3906006480370887e-06, + "loss": 0.558, + "step": 3993 + }, + { + "epoch": 1.9562767911818737, + "grad_norm": 0.3742981255054474, + "learning_rate": 1.3894322264257874e-06, + "loss": 0.5856, + "step": 3994 + }, + { + "epoch": 1.9567666870789957, + "grad_norm": 0.3839472234249115, + "learning_rate": 1.388264106962034e-06, + "loss": 0.5947, + "step": 3995 + }, + { + "epoch": 1.9572565829761177, + "grad_norm": 0.37460947036743164, + "learning_rate": 1.3870962899636347e-06, + "loss": 0.5612, + "step": 3996 + }, + { + "epoch": 1.9577464788732395, + "grad_norm": 0.37544816732406616, + "learning_rate": 1.3859287757483142e-06, + "loss": 0.5985, + "step": 3997 + }, + { + "epoch": 1.9582363747703613, + "grad_norm": 0.3695054054260254, + "learning_rate": 1.3847615646337134e-06, + "loss": 0.6027, + "step": 3998 + }, + { + "epoch": 1.958726270667483, + "grad_norm": 0.39124566316604614, + "learning_rate": 1.3835946569373875e-06, + "loss": 0.5971, + "step": 3999 + }, + { + "epoch": 1.959216166564605, + "grad_norm": 0.3870829641819, + "learning_rate": 1.3824280529768153e-06, + "loss": 0.5901, + "step": 4000 + }, + { + "epoch": 1.9597060624617268, + "grad_norm": 0.37487348914146423, + "learning_rate": 1.3812617530693884e-06, + "loss": 0.6176, + "step": 4001 + }, + { + "epoch": 1.9601959583588489, + "grad_norm": 0.3881800174713135, + "learning_rate": 1.3800957575324175e-06, + "loss": 0.6183, + "step": 4002 + }, + { + "epoch": 1.9606858542559706, + "grad_norm": 0.4055914282798767, + "learning_rate": 1.3789300666831306e-06, + "loss": 0.6084, + "step": 4003 + }, + { + "epoch": 1.9611757501530924, + "grad_norm": 0.3874861001968384, + "learning_rate": 1.3777646808386718e-06, + "loss": 0.5746, + "step": 4004 + }, + { + "epoch": 1.9616656460502142, + "grad_norm": 0.4014434516429901, + "learning_rate": 1.376599600316103e-06, + "loss": 0.6168, + "step": 4005 + }, + { + "epoch": 1.9621555419473362, + "grad_norm": 0.3831809461116791, + "learning_rate": 1.3754348254324023e-06, + "loss": 0.5826, + "step": 4006 + }, + { + "epoch": 1.9626454378444582, + "grad_norm": 0.36070770025253296, + "learning_rate": 1.3742703565044663e-06, + "loss": 0.6064, + "step": 4007 + }, + { + "epoch": 1.96313533374158, + "grad_norm": 0.3890300989151001, + "learning_rate": 1.3731061938491058e-06, + "loss": 0.6062, + "step": 4008 + }, + { + "epoch": 1.9636252296387018, + "grad_norm": 0.4036749005317688, + "learning_rate": 1.3719423377830499e-06, + "loss": 0.6175, + "step": 4009 + }, + { + "epoch": 1.9641151255358236, + "grad_norm": 0.37360915541648865, + "learning_rate": 1.3707787886229461e-06, + "loss": 0.5983, + "step": 4010 + }, + { + "epoch": 1.9646050214329454, + "grad_norm": 0.39302682876586914, + "learning_rate": 1.3696155466853539e-06, + "loss": 0.6169, + "step": 4011 + }, + { + "epoch": 1.9650949173300674, + "grad_norm": 0.381992369890213, + "learning_rate": 1.368452612286752e-06, + "loss": 0.5702, + "step": 4012 + }, + { + "epoch": 1.9655848132271894, + "grad_norm": 0.3883779048919678, + "learning_rate": 1.3672899857435361e-06, + "loss": 0.5712, + "step": 4013 + }, + { + "epoch": 1.9660747091243111, + "grad_norm": 0.39016586542129517, + "learning_rate": 1.3661276673720184e-06, + "loss": 0.6051, + "step": 4014 + }, + { + "epoch": 1.966564605021433, + "grad_norm": 0.38942763209342957, + "learning_rate": 1.3649656574884224e-06, + "loss": 0.612, + "step": 4015 + }, + { + "epoch": 1.9670545009185547, + "grad_norm": 0.3909493684768677, + "learning_rate": 1.363803956408894e-06, + "loss": 0.5969, + "step": 4016 + }, + { + "epoch": 1.9675443968156767, + "grad_norm": 0.3990567922592163, + "learning_rate": 1.3626425644494917e-06, + "loss": 0.5846, + "step": 4017 + }, + { + "epoch": 1.9680342927127985, + "grad_norm": 0.3897247314453125, + "learning_rate": 1.3614814819261906e-06, + "loss": 0.6104, + "step": 4018 + }, + { + "epoch": 1.9685241886099205, + "grad_norm": 0.3775290548801422, + "learning_rate": 1.3603207091548814e-06, + "loss": 0.5853, + "step": 4019 + }, + { + "epoch": 1.9690140845070423, + "grad_norm": 0.3798587918281555, + "learning_rate": 1.359160246451371e-06, + "loss": 0.5848, + "step": 4020 + }, + { + "epoch": 1.969503980404164, + "grad_norm": 0.39015281200408936, + "learning_rate": 1.3580000941313815e-06, + "loss": 0.5854, + "step": 4021 + }, + { + "epoch": 1.9699938763012859, + "grad_norm": 0.3603484034538269, + "learning_rate": 1.3568402525105506e-06, + "loss": 0.5907, + "step": 4022 + }, + { + "epoch": 1.9704837721984079, + "grad_norm": 0.3853527903556824, + "learning_rate": 1.3556807219044318e-06, + "loss": 0.5918, + "step": 4023 + }, + { + "epoch": 1.9709736680955297, + "grad_norm": 0.40537121891975403, + "learning_rate": 1.3545215026284936e-06, + "loss": 0.5986, + "step": 4024 + }, + { + "epoch": 1.9714635639926517, + "grad_norm": 0.37926989793777466, + "learning_rate": 1.3533625949981194e-06, + "loss": 0.5792, + "step": 4025 + }, + { + "epoch": 1.9719534598897734, + "grad_norm": 0.38420429825782776, + "learning_rate": 1.3522039993286106e-06, + "loss": 0.5872, + "step": 4026 + }, + { + "epoch": 1.9724433557868952, + "grad_norm": 0.3935016691684723, + "learning_rate": 1.351045715935179e-06, + "loss": 0.5819, + "step": 4027 + }, + { + "epoch": 1.972933251684017, + "grad_norm": 0.3941105306148529, + "learning_rate": 1.3498877451329536e-06, + "loss": 0.6228, + "step": 4028 + }, + { + "epoch": 1.973423147581139, + "grad_norm": 0.3828417956829071, + "learning_rate": 1.3487300872369813e-06, + "loss": 0.5907, + "step": 4029 + }, + { + "epoch": 1.973913043478261, + "grad_norm": 0.3934363126754761, + "learning_rate": 1.3475727425622207e-06, + "loss": 0.5708, + "step": 4030 + }, + { + "epoch": 1.9744029393753828, + "grad_norm": 0.3836718797683716, + "learning_rate": 1.3464157114235439e-06, + "loss": 0.597, + "step": 4031 + }, + { + "epoch": 1.9748928352725046, + "grad_norm": 0.3738984167575836, + "learning_rate": 1.3452589941357398e-06, + "loss": 0.5596, + "step": 4032 + }, + { + "epoch": 1.9753827311696264, + "grad_norm": 0.39192041754722595, + "learning_rate": 1.344102591013513e-06, + "loss": 0.6309, + "step": 4033 + }, + { + "epoch": 1.9758726270667482, + "grad_norm": 0.40128445625305176, + "learning_rate": 1.3429465023714822e-06, + "loss": 0.5855, + "step": 4034 + }, + { + "epoch": 1.9763625229638702, + "grad_norm": 0.38303065299987793, + "learning_rate": 1.3417907285241758e-06, + "loss": 0.5632, + "step": 4035 + }, + { + "epoch": 1.9768524188609922, + "grad_norm": 0.3742174506187439, + "learning_rate": 1.3406352697860437e-06, + "loss": 0.6009, + "step": 4036 + }, + { + "epoch": 1.977342314758114, + "grad_norm": 0.3994326889514923, + "learning_rate": 1.339480126471446e-06, + "loss": 0.5915, + "step": 4037 + }, + { + "epoch": 1.9778322106552357, + "grad_norm": 0.36800244450569153, + "learning_rate": 1.3383252988946574e-06, + "loss": 0.5878, + "step": 4038 + }, + { + "epoch": 1.9783221065523575, + "grad_norm": 0.39367935061454773, + "learning_rate": 1.337170787369867e-06, + "loss": 0.604, + "step": 4039 + }, + { + "epoch": 1.9788120024494795, + "grad_norm": 0.3701503872871399, + "learning_rate": 1.3360165922111785e-06, + "loss": 0.5893, + "step": 4040 + }, + { + "epoch": 1.9793018983466013, + "grad_norm": 0.38758528232574463, + "learning_rate": 1.3348627137326082e-06, + "loss": 0.5873, + "step": 4041 + }, + { + "epoch": 1.9797917942437233, + "grad_norm": 0.3833068907260895, + "learning_rate": 1.3337091522480873e-06, + "loss": 0.5876, + "step": 4042 + }, + { + "epoch": 1.980281690140845, + "grad_norm": 0.388893723487854, + "learning_rate": 1.3325559080714607e-06, + "loss": 0.5858, + "step": 4043 + }, + { + "epoch": 1.9807715860379669, + "grad_norm": 0.4043805003166199, + "learning_rate": 1.3314029815164864e-06, + "loss": 0.6068, + "step": 4044 + }, + { + "epoch": 1.9812614819350887, + "grad_norm": 0.3786218762397766, + "learning_rate": 1.3302503728968353e-06, + "loss": 0.5943, + "step": 4045 + }, + { + "epoch": 1.9817513778322107, + "grad_norm": 0.3952981233596802, + "learning_rate": 1.3290980825260963e-06, + "loss": 0.599, + "step": 4046 + }, + { + "epoch": 1.9822412737293327, + "grad_norm": 0.3985205292701721, + "learning_rate": 1.327946110717765e-06, + "loss": 0.5858, + "step": 4047 + }, + { + "epoch": 1.9827311696264545, + "grad_norm": 0.40103331208229065, + "learning_rate": 1.3267944577852534e-06, + "loss": 0.5919, + "step": 4048 + }, + { + "epoch": 1.9832210655235762, + "grad_norm": 0.3790135681629181, + "learning_rate": 1.325643124041889e-06, + "loss": 0.6026, + "step": 4049 + }, + { + "epoch": 1.983710961420698, + "grad_norm": 0.38013195991516113, + "learning_rate": 1.3244921098009106e-06, + "loss": 0.5687, + "step": 4050 + }, + { + "epoch": 1.9842008573178198, + "grad_norm": 0.3763214647769928, + "learning_rate": 1.3233414153754665e-06, + "loss": 0.6008, + "step": 4051 + }, + { + "epoch": 1.9846907532149418, + "grad_norm": 0.3864734470844269, + "learning_rate": 1.3221910410786248e-06, + "loss": 0.5966, + "step": 4052 + }, + { + "epoch": 1.9851806491120638, + "grad_norm": 0.38048502802848816, + "learning_rate": 1.3210409872233627e-06, + "loss": 0.5881, + "step": 4053 + }, + { + "epoch": 1.9856705450091856, + "grad_norm": 0.38162708282470703, + "learning_rate": 1.3198912541225672e-06, + "loss": 0.6147, + "step": 4054 + }, + { + "epoch": 1.9861604409063074, + "grad_norm": 0.38228505849838257, + "learning_rate": 1.3187418420890451e-06, + "loss": 0.6171, + "step": 4055 + }, + { + "epoch": 1.9866503368034292, + "grad_norm": 0.3915107846260071, + "learning_rate": 1.3175927514355108e-06, + "loss": 0.6076, + "step": 4056 + }, + { + "epoch": 1.9871402327005512, + "grad_norm": 0.40125173330307007, + "learning_rate": 1.3164439824745929e-06, + "loss": 0.5897, + "step": 4057 + }, + { + "epoch": 1.987630128597673, + "grad_norm": 0.37791651487350464, + "learning_rate": 1.3152955355188317e-06, + "loss": 0.5883, + "step": 4058 + }, + { + "epoch": 1.988120024494795, + "grad_norm": 0.3758035898208618, + "learning_rate": 1.3141474108806806e-06, + "loss": 0.5772, + "step": 4059 + }, + { + "epoch": 1.9886099203919168, + "grad_norm": 0.3823799788951874, + "learning_rate": 1.3129996088725056e-06, + "loss": 0.6204, + "step": 4060 + }, + { + "epoch": 1.9890998162890385, + "grad_norm": 0.3887219727039337, + "learning_rate": 1.3118521298065833e-06, + "loss": 0.5938, + "step": 4061 + }, + { + "epoch": 1.9895897121861603, + "grad_norm": 0.3915282189846039, + "learning_rate": 1.3107049739951046e-06, + "loss": 0.5792, + "step": 4062 + }, + { + "epoch": 1.9900796080832823, + "grad_norm": 0.38522347807884216, + "learning_rate": 1.309558141750171e-06, + "loss": 0.5604, + "step": 4063 + }, + { + "epoch": 1.990569503980404, + "grad_norm": 0.3832435607910156, + "learning_rate": 1.3084116333837955e-06, + "loss": 0.5882, + "step": 4064 + }, + { + "epoch": 1.9910593998775261, + "grad_norm": 0.38274067640304565, + "learning_rate": 1.3072654492079062e-06, + "loss": 0.612, + "step": 4065 + }, + { + "epoch": 1.991549295774648, + "grad_norm": 0.3865125775337219, + "learning_rate": 1.3061195895343388e-06, + "loss": 0.6073, + "step": 4066 + }, + { + "epoch": 1.9920391916717697, + "grad_norm": 0.37702202796936035, + "learning_rate": 1.3049740546748412e-06, + "loss": 0.6257, + "step": 4067 + }, + { + "epoch": 1.9925290875688915, + "grad_norm": 0.39168035984039307, + "learning_rate": 1.3038288449410779e-06, + "loss": 0.5985, + "step": 4068 + }, + { + "epoch": 1.9930189834660135, + "grad_norm": 0.38941025733947754, + "learning_rate": 1.3026839606446201e-06, + "loss": 0.588, + "step": 4069 + }, + { + "epoch": 1.9935088793631355, + "grad_norm": 0.38389304280281067, + "learning_rate": 1.301539402096949e-06, + "loss": 0.5745, + "step": 4070 + }, + { + "epoch": 1.9939987752602573, + "grad_norm": 0.3887891471385956, + "learning_rate": 1.300395169609463e-06, + "loss": 0.5761, + "step": 4071 + }, + { + "epoch": 1.994488671157379, + "grad_norm": 0.38305941224098206, + "learning_rate": 1.299251263493468e-06, + "loss": 0.6406, + "step": 4072 + }, + { + "epoch": 1.9949785670545008, + "grad_norm": 0.3767364025115967, + "learning_rate": 1.2981076840601809e-06, + "loss": 0.6119, + "step": 4073 + }, + { + "epoch": 1.9954684629516228, + "grad_norm": 0.3854789435863495, + "learning_rate": 1.2969644316207314e-06, + "loss": 0.5977, + "step": 4074 + }, + { + "epoch": 1.9959583588487446, + "grad_norm": 0.39084726572036743, + "learning_rate": 1.295821506486159e-06, + "loss": 0.6131, + "step": 4075 + }, + { + "epoch": 1.9964482547458666, + "grad_norm": 0.3815646469593048, + "learning_rate": 1.294678908967415e-06, + "loss": 0.5952, + "step": 4076 + }, + { + "epoch": 1.9969381506429884, + "grad_norm": 0.39136478304862976, + "learning_rate": 1.2935366393753608e-06, + "loss": 0.5878, + "step": 4077 + }, + { + "epoch": 1.9974280465401102, + "grad_norm": 0.3913816809654236, + "learning_rate": 1.2923946980207685e-06, + "loss": 0.5832, + "step": 4078 + }, + { + "epoch": 1.997917942437232, + "grad_norm": 0.4054318964481354, + "learning_rate": 1.2912530852143224e-06, + "loss": 0.5503, + "step": 4079 + }, + { + "epoch": 1.998407838334354, + "grad_norm": 0.3980437219142914, + "learning_rate": 1.2901118012666147e-06, + "loss": 0.6221, + "step": 4080 + }, + { + "epoch": 1.9988977342314758, + "grad_norm": 0.35932934284210205, + "learning_rate": 1.288970846488153e-06, + "loss": 0.5805, + "step": 4081 + }, + { + "epoch": 1.9993876301285978, + "grad_norm": 0.381290465593338, + "learning_rate": 1.2878302211893485e-06, + "loss": 0.5806, + "step": 4082 + } + ], + "logging_steps": 1, + "max_steps": 6123, + "num_input_tokens_seen": 0, + "num_train_epochs": 3, + "save_steps": 2041, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 3.6568841111589618e+19, + "train_batch_size": 12, + "trial_name": null, + "trial_params": null +}