diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,9639 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 2.999179655455291, + "eval_steps": 500, + "global_step": 1371, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0021875854525567405, + "grad_norm": 0.017111310735344887, + "learning_rate": 2.173913043478261e-05, + "loss": 1.059, + "step": 1 + }, + { + "epoch": 0.004375170905113481, + "grad_norm": 0.018623707816004753, + "learning_rate": 4.347826086956522e-05, + "loss": 1.315, + "step": 2 + }, + { + "epoch": 0.006562756357670222, + "grad_norm": 0.018533790484070778, + "learning_rate": 6.521739130434782e-05, + "loss": 0.9224, + "step": 3 + }, + { + "epoch": 0.008750341810226962, + "grad_norm": 0.015920396894216537, + "learning_rate": 8.695652173913044e-05, + "loss": 0.9201, + "step": 4 + }, + { + "epoch": 0.010937927262783703, + "grad_norm": 0.01558469608426094, + "learning_rate": 0.00010869565217391305, + "loss": 0.8457, + "step": 5 + }, + { + "epoch": 0.013125512715340444, + "grad_norm": 0.023962153121829033, + "learning_rate": 0.00013043478260869564, + "loss": 0.9347, + "step": 6 + }, + { + "epoch": 0.015313098167897183, + "grad_norm": 0.029316680505871773, + "learning_rate": 0.00015217391304347827, + "loss": 0.8043, + "step": 7 + }, + { + "epoch": 0.017500683620453924, + "grad_norm": 0.028927722945809364, + "learning_rate": 0.00017391304347826088, + "loss": 0.9963, + "step": 8 + }, + { + "epoch": 0.019688269073010665, + "grad_norm": 0.025050047785043716, + "learning_rate": 0.0001956521739130435, + "loss": 0.7861, + "step": 9 + }, + { + "epoch": 0.021875854525567406, + "grad_norm": 0.04486666992306709, + "learning_rate": 0.0002173913043478261, + "loss": 1.0884, + "step": 10 + }, + { + "epoch": 0.024063439978124147, + "grad_norm": 0.035062652081251144, + "learning_rate": 0.00023913043478260867, + "loss": 0.9876, + "step": 11 + }, + { + "epoch": 0.026251025430680888, + "grad_norm": 0.033111147582530975, + "learning_rate": 0.0002608695652173913, + "loss": 0.8838, + "step": 12 + }, + { + "epoch": 0.028438610883237625, + "grad_norm": 0.04362301528453827, + "learning_rate": 0.00028260869565217394, + "loss": 0.8189, + "step": 13 + }, + { + "epoch": 0.030626196335794366, + "grad_norm": 0.04369740933179855, + "learning_rate": 0.00030434782608695655, + "loss": 0.9065, + "step": 14 + }, + { + "epoch": 0.03281378178835111, + "grad_norm": 0.04280918091535568, + "learning_rate": 0.0003260869565217391, + "loss": 0.8706, + "step": 15 + }, + { + "epoch": 0.03500136724090785, + "grad_norm": 0.06369622051715851, + "learning_rate": 0.00034782608695652176, + "loss": 1.0769, + "step": 16 + }, + { + "epoch": 0.03718895269346459, + "grad_norm": 0.04528605565428734, + "learning_rate": 0.00036956521739130437, + "loss": 0.9662, + "step": 17 + }, + { + "epoch": 0.03937653814602133, + "grad_norm": 0.045731619000434875, + "learning_rate": 0.000391304347826087, + "loss": 0.7727, + "step": 18 + }, + { + "epoch": 0.04156412359857807, + "grad_norm": 0.03585459291934967, + "learning_rate": 0.0004130434782608696, + "loss": 0.7813, + "step": 19 + }, + { + "epoch": 0.04375170905113481, + "grad_norm": 0.07666835933923721, + "learning_rate": 0.0004347826086956522, + "loss": 1.1307, + "step": 20 + }, + { + "epoch": 0.04593929450369155, + "grad_norm": 0.02985576167702675, + "learning_rate": 0.0004565217391304348, + "loss": 0.785, + "step": 21 + }, + { + "epoch": 0.04812687995624829, + "grad_norm": 0.02983052283525467, + "learning_rate": 0.00047826086956521735, + "loss": 0.8323, + "step": 22 + }, + { + "epoch": 0.050314465408805034, + "grad_norm": 0.09363115578889847, + "learning_rate": 0.0005, + "loss": 0.6885, + "step": 23 + }, + { + "epoch": 0.052502050861361775, + "grad_norm": 0.47768905758857727, + "learning_rate": 0.0005217391304347826, + "loss": 1.0143, + "step": 24 + }, + { + "epoch": 0.05468963631391851, + "grad_norm": 0.1065075695514679, + "learning_rate": 0.0005434782608695652, + "loss": 0.8331, + "step": 25 + }, + { + "epoch": 0.05687722176647525, + "grad_norm": 0.023991186171770096, + "learning_rate": 0.0005652173913043479, + "loss": 0.837, + "step": 26 + }, + { + "epoch": 0.05906480721903199, + "grad_norm": 0.020501986145973206, + "learning_rate": 0.0005869565217391304, + "loss": 0.7117, + "step": 27 + }, + { + "epoch": 0.06125239267158873, + "grad_norm": 0.052776217460632324, + "learning_rate": 0.0006086956521739131, + "loss": 0.9429, + "step": 28 + }, + { + "epoch": 0.06343997812414548, + "grad_norm": 0.0542248971760273, + "learning_rate": 0.0006304347826086957, + "loss": 0.7759, + "step": 29 + }, + { + "epoch": 0.06562756357670221, + "grad_norm": 0.061998218297958374, + "learning_rate": 0.0006521739130434782, + "loss": 0.7904, + "step": 30 + }, + { + "epoch": 0.06781514902925896, + "grad_norm": 0.03401396796107292, + "learning_rate": 0.0006739130434782609, + "loss": 0.7386, + "step": 31 + }, + { + "epoch": 0.0700027344818157, + "grad_norm": 0.027073826640844345, + "learning_rate": 0.0006956521739130435, + "loss": 0.6702, + "step": 32 + }, + { + "epoch": 0.07219031993437244, + "grad_norm": 0.0468217171728611, + "learning_rate": 0.0007173913043478261, + "loss": 0.9944, + "step": 33 + }, + { + "epoch": 0.07437790538692918, + "grad_norm": 0.1130312904715538, + "learning_rate": 0.0007391304347826087, + "loss": 0.8396, + "step": 34 + }, + { + "epoch": 0.07656549083948591, + "grad_norm": 0.05662137269973755, + "learning_rate": 0.0007608695652173914, + "loss": 0.918, + "step": 35 + }, + { + "epoch": 0.07875307629204266, + "grad_norm": 0.030792295932769775, + "learning_rate": 0.000782608695652174, + "loss": 1.0882, + "step": 36 + }, + { + "epoch": 0.0809406617445994, + "grad_norm": 0.02346004731953144, + "learning_rate": 0.0008043478260869566, + "loss": 0.9276, + "step": 37 + }, + { + "epoch": 0.08312824719715614, + "grad_norm": 0.0640161782503128, + "learning_rate": 0.0008260869565217392, + "loss": 0.9607, + "step": 38 + }, + { + "epoch": 0.08531583264971287, + "grad_norm": 0.01127663068473339, + "learning_rate": 0.0008478260869565217, + "loss": 0.7476, + "step": 39 + }, + { + "epoch": 0.08750341810226962, + "grad_norm": 0.020388390868902206, + "learning_rate": 0.0008695652173913044, + "loss": 0.9294, + "step": 40 + }, + { + "epoch": 0.08969100355482636, + "grad_norm": 0.011159627698361874, + "learning_rate": 0.0008913043478260869, + "loss": 0.7403, + "step": 41 + }, + { + "epoch": 0.0918785890073831, + "grad_norm": 0.01922360621392727, + "learning_rate": 0.0009130434782608696, + "loss": 0.9901, + "step": 42 + }, + { + "epoch": 0.09406617445993984, + "grad_norm": 0.022499792277812958, + "learning_rate": 0.0009347826086956521, + "loss": 0.8491, + "step": 43 + }, + { + "epoch": 0.09625375991249659, + "grad_norm": 0.019557347521185875, + "learning_rate": 0.0009565217391304347, + "loss": 0.8855, + "step": 44 + }, + { + "epoch": 0.09844134536505332, + "grad_norm": 0.023644007742404938, + "learning_rate": 0.0009782608695652175, + "loss": 0.6828, + "step": 45 + }, + { + "epoch": 0.10062893081761007, + "grad_norm": 0.0180030707269907, + "learning_rate": 0.001, + "loss": 1.0325, + "step": 46 + }, + { + "epoch": 0.1028165162701668, + "grad_norm": 0.026917221024632454, + "learning_rate": 0.0010217391304347826, + "loss": 1.0596, + "step": 47 + }, + { + "epoch": 0.10500410172272355, + "grad_norm": 0.016843197867274284, + "learning_rate": 0.0010434782608695651, + "loss": 0.6183, + "step": 48 + }, + { + "epoch": 0.10719168717528028, + "grad_norm": 0.0393221415579319, + "learning_rate": 0.001065217391304348, + "loss": 0.9009, + "step": 49 + }, + { + "epoch": 0.10937927262783702, + "grad_norm": 0.025003232061862946, + "learning_rate": 0.0010869565217391304, + "loss": 0.9701, + "step": 50 + }, + { + "epoch": 0.11156685808039377, + "grad_norm": 0.029358206316828728, + "learning_rate": 0.001108695652173913, + "loss": 0.8351, + "step": 51 + }, + { + "epoch": 0.1137544435329505, + "grad_norm": 0.02484138496220112, + "learning_rate": 0.0011304347826086958, + "loss": 0.906, + "step": 52 + }, + { + "epoch": 0.11594202898550725, + "grad_norm": 0.012963383458554745, + "learning_rate": 0.0011521739130434783, + "loss": 1.098, + "step": 53 + }, + { + "epoch": 0.11812961443806398, + "grad_norm": 0.022173907607793808, + "learning_rate": 0.0011739130434782609, + "loss": 0.9086, + "step": 54 + }, + { + "epoch": 0.12031719989062073, + "grad_norm": 0.018844394013285637, + "learning_rate": 0.0011956521739130434, + "loss": 0.8087, + "step": 55 + }, + { + "epoch": 0.12250478534317746, + "grad_norm": 0.01081649400293827, + "learning_rate": 0.0012173913043478262, + "loss": 0.6714, + "step": 56 + }, + { + "epoch": 0.12469237079573421, + "grad_norm": 0.012590788304805756, + "learning_rate": 0.0012391304347826087, + "loss": 0.8224, + "step": 57 + }, + { + "epoch": 0.12687995624829096, + "grad_norm": 0.007173096761107445, + "learning_rate": 0.0012608695652173913, + "loss": 0.9208, + "step": 58 + }, + { + "epoch": 0.1290675417008477, + "grad_norm": 0.023659205064177513, + "learning_rate": 0.001282608695652174, + "loss": 0.8385, + "step": 59 + }, + { + "epoch": 0.13125512715340443, + "grad_norm": 0.016100220382213593, + "learning_rate": 0.0013043478260869564, + "loss": 0.6562, + "step": 60 + }, + { + "epoch": 0.13344271260596116, + "grad_norm": 0.01680757850408554, + "learning_rate": 0.0013260869565217392, + "loss": 0.8996, + "step": 61 + }, + { + "epoch": 0.13563029805851792, + "grad_norm": 0.02230382151901722, + "learning_rate": 0.0013478260869565217, + "loss": 0.7927, + "step": 62 + }, + { + "epoch": 0.13781788351107466, + "grad_norm": 0.03682897984981537, + "learning_rate": 0.0013695652173913043, + "loss": 0.8507, + "step": 63 + }, + { + "epoch": 0.1400054689636314, + "grad_norm": 0.02873164229094982, + "learning_rate": 0.001391304347826087, + "loss": 0.7379, + "step": 64 + }, + { + "epoch": 0.14219305441618812, + "grad_norm": 0.08291471749544144, + "learning_rate": 0.0014130434782608696, + "loss": 0.9686, + "step": 65 + }, + { + "epoch": 0.1443806398687449, + "grad_norm": 0.005648148711770773, + "learning_rate": 0.0014347826086956522, + "loss": 0.9365, + "step": 66 + }, + { + "epoch": 0.14656822532130162, + "grad_norm": 0.010281619615852833, + "learning_rate": 0.0014565217391304347, + "loss": 0.7989, + "step": 67 + }, + { + "epoch": 0.14875581077385835, + "grad_norm": 0.010221214964985847, + "learning_rate": 0.0014782608695652175, + "loss": 0.7567, + "step": 68 + }, + { + "epoch": 0.1509433962264151, + "grad_norm": 0.008735002018511295, + "learning_rate": 0.0015, + "loss": 0.9644, + "step": 69 + }, + { + "epoch": 0.15313098167897182, + "grad_norm": 0.021798064932227135, + "learning_rate": 0.0015217391304347828, + "loss": 0.8451, + "step": 70 + }, + { + "epoch": 0.15531856713152858, + "grad_norm": 0.011285695247352123, + "learning_rate": 0.0015434782608695651, + "loss": 0.9334, + "step": 71 + }, + { + "epoch": 0.15750615258408532, + "grad_norm": 0.005321874748915434, + "learning_rate": 0.001565217391304348, + "loss": 0.9424, + "step": 72 + }, + { + "epoch": 0.15969373803664205, + "grad_norm": 0.010020822286605835, + "learning_rate": 0.0015869565217391305, + "loss": 0.7219, + "step": 73 + }, + { + "epoch": 0.1618813234891988, + "grad_norm": 0.008384345099329948, + "learning_rate": 0.0016086956521739132, + "loss": 0.8169, + "step": 74 + }, + { + "epoch": 0.16406890894175555, + "grad_norm": 0.010866906493902206, + "learning_rate": 0.0016304347826086956, + "loss": 0.7556, + "step": 75 + }, + { + "epoch": 0.16625649439431228, + "grad_norm": 0.01588907279074192, + "learning_rate": 0.0016521739130434783, + "loss": 0.766, + "step": 76 + }, + { + "epoch": 0.16844407984686902, + "grad_norm": 0.018410617485642433, + "learning_rate": 0.001673913043478261, + "loss": 0.8201, + "step": 77 + }, + { + "epoch": 0.17063166529942575, + "grad_norm": 0.01711914874613285, + "learning_rate": 0.0016956521739130434, + "loss": 1.0454, + "step": 78 + }, + { + "epoch": 0.1728192507519825, + "grad_norm": 0.040495071560144424, + "learning_rate": 0.001717391304347826, + "loss": 0.9048, + "step": 79 + }, + { + "epoch": 0.17500683620453925, + "grad_norm": 0.008844586089253426, + "learning_rate": 0.0017391304347826088, + "loss": 0.9716, + "step": 80 + }, + { + "epoch": 0.17719442165709598, + "grad_norm": 0.020504243671894073, + "learning_rate": 0.0017608695652173915, + "loss": 0.706, + "step": 81 + }, + { + "epoch": 0.1793820071096527, + "grad_norm": 0.005656155291944742, + "learning_rate": 0.0017826086956521739, + "loss": 0.8948, + "step": 82 + }, + { + "epoch": 0.18156959256220945, + "grad_norm": 0.011604691855609417, + "learning_rate": 0.0018043478260869566, + "loss": 0.9465, + "step": 83 + }, + { + "epoch": 0.1837571780147662, + "grad_norm": 0.004078141879290342, + "learning_rate": 0.0018260869565217392, + "loss": 0.9462, + "step": 84 + }, + { + "epoch": 0.18594476346732294, + "grad_norm": 0.008594767190515995, + "learning_rate": 0.0018478260869565217, + "loss": 0.9287, + "step": 85 + }, + { + "epoch": 0.18813234891987968, + "grad_norm": 0.008353278040885925, + "learning_rate": 0.0018695652173913043, + "loss": 0.8743, + "step": 86 + }, + { + "epoch": 0.1903199343724364, + "grad_norm": 0.010675789788365364, + "learning_rate": 0.001891304347826087, + "loss": 0.7836, + "step": 87 + }, + { + "epoch": 0.19250751982499317, + "grad_norm": 0.004695142153650522, + "learning_rate": 0.0019130434782608694, + "loss": 0.7587, + "step": 88 + }, + { + "epoch": 0.1946951052775499, + "grad_norm": 0.005462712608277798, + "learning_rate": 0.0019347826086956522, + "loss": 0.9685, + "step": 89 + }, + { + "epoch": 0.19688269073010664, + "grad_norm": 0.005652555730193853, + "learning_rate": 0.001956521739130435, + "loss": 0.7821, + "step": 90 + }, + { + "epoch": 0.19907027618266337, + "grad_norm": 0.0058873966336250305, + "learning_rate": 0.0019782608695652175, + "loss": 0.8027, + "step": 91 + }, + { + "epoch": 0.20125786163522014, + "grad_norm": 0.004672915209084749, + "learning_rate": 0.002, + "loss": 0.8367, + "step": 92 + }, + { + "epoch": 0.20344544708777687, + "grad_norm": 0.004535092506557703, + "learning_rate": 0.0020217391304347826, + "loss": 0.7124, + "step": 93 + }, + { + "epoch": 0.2056330325403336, + "grad_norm": 0.003576159942895174, + "learning_rate": 0.002043478260869565, + "loss": 0.8596, + "step": 94 + }, + { + "epoch": 0.20782061799289034, + "grad_norm": 0.005423200782388449, + "learning_rate": 0.0020652173913043477, + "loss": 0.8582, + "step": 95 + }, + { + "epoch": 0.2100082034454471, + "grad_norm": 0.00573402363806963, + "learning_rate": 0.0020869565217391303, + "loss": 0.6699, + "step": 96 + }, + { + "epoch": 0.21219578889800383, + "grad_norm": 0.004158989991992712, + "learning_rate": 0.0021086956521739132, + "loss": 0.9819, + "step": 97 + }, + { + "epoch": 0.21438337435056057, + "grad_norm": 0.009630310349166393, + "learning_rate": 0.002130434782608696, + "loss": 1.0568, + "step": 98 + }, + { + "epoch": 0.2165709598031173, + "grad_norm": 0.006703687831759453, + "learning_rate": 0.0021521739130434783, + "loss": 0.7342, + "step": 99 + }, + { + "epoch": 0.21875854525567404, + "grad_norm": 0.008040892891585827, + "learning_rate": 0.002173913043478261, + "loss": 0.8339, + "step": 100 + }, + { + "epoch": 0.2209461307082308, + "grad_norm": 0.00757247768342495, + "learning_rate": 0.0021956521739130434, + "loss": 0.934, + "step": 101 + }, + { + "epoch": 0.22313371616078753, + "grad_norm": 0.009981849230825901, + "learning_rate": 0.002217391304347826, + "loss": 0.9303, + "step": 102 + }, + { + "epoch": 0.22532130161334427, + "grad_norm": 0.007599060423672199, + "learning_rate": 0.0022391304347826086, + "loss": 0.7928, + "step": 103 + }, + { + "epoch": 0.227508887065901, + "grad_norm": 0.010048196651041508, + "learning_rate": 0.0022608695652173915, + "loss": 0.8811, + "step": 104 + }, + { + "epoch": 0.22969647251845776, + "grad_norm": 0.008185365237295628, + "learning_rate": 0.002282608695652174, + "loss": 0.8586, + "step": 105 + }, + { + "epoch": 0.2318840579710145, + "grad_norm": 0.02917146123945713, + "learning_rate": 0.0023043478260869566, + "loss": 0.8296, + "step": 106 + }, + { + "epoch": 0.23407164342357123, + "grad_norm": 0.03497055917978287, + "learning_rate": 0.002326086956521739, + "loss": 0.9071, + "step": 107 + }, + { + "epoch": 0.23625922887612796, + "grad_norm": 0.0127785699442029, + "learning_rate": 0.0023478260869565218, + "loss": 0.8497, + "step": 108 + }, + { + "epoch": 0.23844681432868473, + "grad_norm": 0.007704317104071379, + "learning_rate": 0.0023695652173913043, + "loss": 0.836, + "step": 109 + }, + { + "epoch": 0.24063439978124146, + "grad_norm": 0.007215225137770176, + "learning_rate": 0.002391304347826087, + "loss": 0.9434, + "step": 110 + }, + { + "epoch": 0.2428219852337982, + "grad_norm": 0.008061757311224937, + "learning_rate": 0.00241304347826087, + "loss": 0.9648, + "step": 111 + }, + { + "epoch": 0.24500957068635493, + "grad_norm": 0.007565490435808897, + "learning_rate": 0.0024347826086956524, + "loss": 0.9409, + "step": 112 + }, + { + "epoch": 0.2471971561389117, + "grad_norm": 0.00492995698004961, + "learning_rate": 0.002456521739130435, + "loss": 0.8753, + "step": 113 + }, + { + "epoch": 0.24938474159146842, + "grad_norm": 0.005053890403360128, + "learning_rate": 0.0024782608695652175, + "loss": 0.8239, + "step": 114 + }, + { + "epoch": 0.25157232704402516, + "grad_norm": 0.009602397680282593, + "learning_rate": 0.0025, + "loss": 0.7825, + "step": 115 + }, + { + "epoch": 0.2537599124965819, + "grad_norm": 0.004248041659593582, + "learning_rate": 0.0025217391304347826, + "loss": 0.7295, + "step": 116 + }, + { + "epoch": 0.2559474979491386, + "grad_norm": 0.009284190833568573, + "learning_rate": 0.002543478260869565, + "loss": 0.9205, + "step": 117 + }, + { + "epoch": 0.2581350834016954, + "grad_norm": 0.00780320493504405, + "learning_rate": 0.002565217391304348, + "loss": 0.8928, + "step": 118 + }, + { + "epoch": 0.2603226688542521, + "grad_norm": 0.014100235886871815, + "learning_rate": 0.0025869565217391307, + "loss": 1.0, + "step": 119 + }, + { + "epoch": 0.26251025430680885, + "grad_norm": 0.0031979018822312355, + "learning_rate": 0.002608695652173913, + "loss": 0.8661, + "step": 120 + }, + { + "epoch": 0.2646978397593656, + "grad_norm": 0.010853100568056107, + "learning_rate": 0.002630434782608696, + "loss": 0.7197, + "step": 121 + }, + { + "epoch": 0.2668854252119223, + "grad_norm": 0.00902815256267786, + "learning_rate": 0.0026521739130434784, + "loss": 0.8987, + "step": 122 + }, + { + "epoch": 0.2690730106644791, + "grad_norm": 0.006882428657263517, + "learning_rate": 0.002673913043478261, + "loss": 0.7676, + "step": 123 + }, + { + "epoch": 0.27126059611703585, + "grad_norm": 0.014947020448744297, + "learning_rate": 0.0026956521739130435, + "loss": 0.8857, + "step": 124 + }, + { + "epoch": 0.27344818156959255, + "grad_norm": 0.005454353056848049, + "learning_rate": 0.002717391304347826, + "loss": 0.7277, + "step": 125 + }, + { + "epoch": 0.2756357670221493, + "grad_norm": 0.0050047156400978565, + "learning_rate": 0.0027391304347826086, + "loss": 0.9257, + "step": 126 + }, + { + "epoch": 0.277823352474706, + "grad_norm": 0.008737878873944283, + "learning_rate": 0.002760869565217391, + "loss": 0.8598, + "step": 127 + }, + { + "epoch": 0.2800109379272628, + "grad_norm": 0.008086539804935455, + "learning_rate": 0.002782608695652174, + "loss": 0.9844, + "step": 128 + }, + { + "epoch": 0.28219852337981954, + "grad_norm": 0.01979847252368927, + "learning_rate": 0.0028043478260869567, + "loss": 0.9718, + "step": 129 + }, + { + "epoch": 0.28438610883237625, + "grad_norm": 0.016869032755494118, + "learning_rate": 0.002826086956521739, + "loss": 0.8311, + "step": 130 + }, + { + "epoch": 0.286573694284933, + "grad_norm": 0.008929664269089699, + "learning_rate": 0.0028478260869565218, + "loss": 0.6482, + "step": 131 + }, + { + "epoch": 0.2887612797374898, + "grad_norm": 0.013361562974750996, + "learning_rate": 0.0028695652173913043, + "loss": 0.991, + "step": 132 + }, + { + "epoch": 0.2909488651900465, + "grad_norm": 0.0223986953496933, + "learning_rate": 0.002891304347826087, + "loss": 0.8566, + "step": 133 + }, + { + "epoch": 0.29313645064260324, + "grad_norm": 0.00690645445138216, + "learning_rate": 0.0029130434782608694, + "loss": 0.7706, + "step": 134 + }, + { + "epoch": 0.29532403609515995, + "grad_norm": 0.007177585270255804, + "learning_rate": 0.0029347826086956524, + "loss": 0.7896, + "step": 135 + }, + { + "epoch": 0.2975116215477167, + "grad_norm": 0.024162376299500465, + "learning_rate": 0.002956521739130435, + "loss": 0.8316, + "step": 136 + }, + { + "epoch": 0.29969920700027347, + "grad_norm": 0.009236878715455532, + "learning_rate": 0.0029782608695652175, + "loss": 0.7563, + "step": 137 + }, + { + "epoch": 0.3018867924528302, + "grad_norm": 0.008098084479570389, + "learning_rate": 0.003, + "loss": 0.9313, + "step": 138 + }, + { + "epoch": 0.30407437790538694, + "grad_norm": 0.01629616692662239, + "learning_rate": 0.002997566909975669, + "loss": 0.7942, + "step": 139 + }, + { + "epoch": 0.30626196335794365, + "grad_norm": 0.013256334699690342, + "learning_rate": 0.0029951338199513382, + "loss": 0.819, + "step": 140 + }, + { + "epoch": 0.3084495488105004, + "grad_norm": 0.016614550724625587, + "learning_rate": 0.0029927007299270073, + "loss": 0.823, + "step": 141 + }, + { + "epoch": 0.31063713426305717, + "grad_norm": 0.015185157768428326, + "learning_rate": 0.0029902676399026764, + "loss": 0.8534, + "step": 142 + }, + { + "epoch": 0.3128247197156139, + "grad_norm": 0.012511268258094788, + "learning_rate": 0.0029878345498783455, + "loss": 1.0021, + "step": 143 + }, + { + "epoch": 0.31501230516817064, + "grad_norm": 0.03368072584271431, + "learning_rate": 0.0029854014598540146, + "loss": 0.9333, + "step": 144 + }, + { + "epoch": 0.3171998906207274, + "grad_norm": 0.014194028452038765, + "learning_rate": 0.0029829683698296837, + "loss": 0.7353, + "step": 145 + }, + { + "epoch": 0.3193874760732841, + "grad_norm": 0.022817425429821014, + "learning_rate": 0.002980535279805353, + "loss": 0.8653, + "step": 146 + }, + { + "epoch": 0.32157506152584087, + "grad_norm": 0.034395311027765274, + "learning_rate": 0.002978102189781022, + "loss": 0.7872, + "step": 147 + }, + { + "epoch": 0.3237626469783976, + "grad_norm": 0.04415661096572876, + "learning_rate": 0.002975669099756691, + "loss": 0.8668, + "step": 148 + }, + { + "epoch": 0.32595023243095433, + "grad_norm": 0.013315894640982151, + "learning_rate": 0.0029732360097323605, + "loss": 0.7012, + "step": 149 + }, + { + "epoch": 0.3281378178835111, + "grad_norm": 0.01931261457502842, + "learning_rate": 0.002970802919708029, + "loss": 0.6949, + "step": 150 + }, + { + "epoch": 0.3303254033360678, + "grad_norm": 0.01766936294734478, + "learning_rate": 0.0029683698296836983, + "loss": 1.0637, + "step": 151 + }, + { + "epoch": 0.33251298878862456, + "grad_norm": 0.04097762331366539, + "learning_rate": 0.002965936739659368, + "loss": 0.6945, + "step": 152 + }, + { + "epoch": 0.33470057424118127, + "grad_norm": 0.019335204735398293, + "learning_rate": 0.0029635036496350364, + "loss": 0.9677, + "step": 153 + }, + { + "epoch": 0.33688815969373803, + "grad_norm": 0.02775772474706173, + "learning_rate": 0.0029610705596107055, + "loss": 0.9445, + "step": 154 + }, + { + "epoch": 0.3390757451462948, + "grad_norm": 0.012738276273012161, + "learning_rate": 0.002958637469586375, + "loss": 0.7254, + "step": 155 + }, + { + "epoch": 0.3412633305988515, + "grad_norm": 0.025990145280957222, + "learning_rate": 0.0029562043795620437, + "loss": 0.7296, + "step": 156 + }, + { + "epoch": 0.34345091605140826, + "grad_norm": 0.08288227766752243, + "learning_rate": 0.002953771289537713, + "loss": 0.8595, + "step": 157 + }, + { + "epoch": 0.345638501503965, + "grad_norm": 0.05340643599629402, + "learning_rate": 0.002951338199513382, + "loss": 0.7425, + "step": 158 + }, + { + "epoch": 0.34782608695652173, + "grad_norm": 0.030417539179325104, + "learning_rate": 0.0029489051094890514, + "loss": 0.7976, + "step": 159 + }, + { + "epoch": 0.3500136724090785, + "grad_norm": 0.04232973977923393, + "learning_rate": 0.00294647201946472, + "loss": 0.8764, + "step": 160 + }, + { + "epoch": 0.3522012578616352, + "grad_norm": 0.025519737973809242, + "learning_rate": 0.002944038929440389, + "loss": 0.8247, + "step": 161 + }, + { + "epoch": 0.35438884331419196, + "grad_norm": 0.046103380620479584, + "learning_rate": 0.0029416058394160587, + "loss": 0.8432, + "step": 162 + }, + { + "epoch": 0.3565764287667487, + "grad_norm": 0.01843344047665596, + "learning_rate": 0.0029391727493917274, + "loss": 0.8721, + "step": 163 + }, + { + "epoch": 0.3587640142193054, + "grad_norm": 0.029839089140295982, + "learning_rate": 0.0029367396593673965, + "loss": 0.7955, + "step": 164 + }, + { + "epoch": 0.3609515996718622, + "grad_norm": 0.023799125105142593, + "learning_rate": 0.002934306569343066, + "loss": 0.8929, + "step": 165 + }, + { + "epoch": 0.3631391851244189, + "grad_norm": 0.01695132628083229, + "learning_rate": 0.0029318734793187346, + "loss": 0.8149, + "step": 166 + }, + { + "epoch": 0.36532677057697566, + "grad_norm": 0.01710570976138115, + "learning_rate": 0.0029294403892944037, + "loss": 0.9953, + "step": 167 + }, + { + "epoch": 0.3675143560295324, + "grad_norm": 0.008958813734352589, + "learning_rate": 0.0029270072992700733, + "loss": 0.6486, + "step": 168 + }, + { + "epoch": 0.3697019414820891, + "grad_norm": 0.02033080905675888, + "learning_rate": 0.002924574209245742, + "loss": 0.7759, + "step": 169 + }, + { + "epoch": 0.3718895269346459, + "grad_norm": 0.01737876608967781, + "learning_rate": 0.002922141119221411, + "loss": 0.7998, + "step": 170 + }, + { + "epoch": 0.37407711238720265, + "grad_norm": 0.011925026774406433, + "learning_rate": 0.0029197080291970805, + "loss": 0.6405, + "step": 171 + }, + { + "epoch": 0.37626469783975935, + "grad_norm": 0.010621492750942707, + "learning_rate": 0.0029172749391727496, + "loss": 0.735, + "step": 172 + }, + { + "epoch": 0.3784522832923161, + "grad_norm": 0.02744341269135475, + "learning_rate": 0.0029148418491484183, + "loss": 0.9386, + "step": 173 + }, + { + "epoch": 0.3806398687448728, + "grad_norm": 0.010641987435519695, + "learning_rate": 0.002912408759124088, + "loss": 0.6368, + "step": 174 + }, + { + "epoch": 0.3828274541974296, + "grad_norm": 0.016506191343069077, + "learning_rate": 0.002909975669099757, + "loss": 0.7212, + "step": 175 + }, + { + "epoch": 0.38501503964998635, + "grad_norm": 0.029457593336701393, + "learning_rate": 0.0029075425790754256, + "loss": 0.8386, + "step": 176 + }, + { + "epoch": 0.38720262510254305, + "grad_norm": 0.008680049329996109, + "learning_rate": 0.002905109489051095, + "loss": 0.8827, + "step": 177 + }, + { + "epoch": 0.3893902105550998, + "grad_norm": 0.029479682445526123, + "learning_rate": 0.002902676399026764, + "loss": 0.797, + "step": 178 + }, + { + "epoch": 0.3915777960076566, + "grad_norm": 0.01670117862522602, + "learning_rate": 0.002900243309002433, + "loss": 0.7164, + "step": 179 + }, + { + "epoch": 0.3937653814602133, + "grad_norm": 0.019070839509367943, + "learning_rate": 0.0028978102189781024, + "loss": 0.7425, + "step": 180 + }, + { + "epoch": 0.39595296691277004, + "grad_norm": 0.010363463312387466, + "learning_rate": 0.0028953771289537715, + "loss": 0.9502, + "step": 181 + }, + { + "epoch": 0.39814055236532675, + "grad_norm": 0.02518656477332115, + "learning_rate": 0.0028929440389294406, + "loss": 0.7689, + "step": 182 + }, + { + "epoch": 0.4003281378178835, + "grad_norm": 0.014663388952612877, + "learning_rate": 0.0028905109489051097, + "loss": 0.8839, + "step": 183 + }, + { + "epoch": 0.4025157232704403, + "grad_norm": 0.009784224443137646, + "learning_rate": 0.0028880778588807787, + "loss": 0.82, + "step": 184 + }, + { + "epoch": 0.404703308722997, + "grad_norm": 0.02763255313038826, + "learning_rate": 0.002885644768856448, + "loss": 0.8051, + "step": 185 + }, + { + "epoch": 0.40689089417555374, + "grad_norm": 0.023367729038000107, + "learning_rate": 0.002883211678832117, + "loss": 0.7191, + "step": 186 + }, + { + "epoch": 0.40907847962811045, + "grad_norm": 0.025467796251177788, + "learning_rate": 0.002880778588807786, + "loss": 0.7385, + "step": 187 + }, + { + "epoch": 0.4112660650806672, + "grad_norm": 0.03302817419171333, + "learning_rate": 0.002878345498783455, + "loss": 0.6099, + "step": 188 + }, + { + "epoch": 0.41345365053322397, + "grad_norm": 0.016808858141303062, + "learning_rate": 0.002875912408759124, + "loss": 0.687, + "step": 189 + }, + { + "epoch": 0.4156412359857807, + "grad_norm": 0.030584512278437614, + "learning_rate": 0.0028734793187347933, + "loss": 0.7922, + "step": 190 + }, + { + "epoch": 0.41782882143833744, + "grad_norm": 0.05187975615262985, + "learning_rate": 0.0028710462287104624, + "loss": 0.8282, + "step": 191 + }, + { + "epoch": 0.4200164068908942, + "grad_norm": 0.03264329209923744, + "learning_rate": 0.0028686131386861315, + "loss": 0.542, + "step": 192 + }, + { + "epoch": 0.4222039923434509, + "grad_norm": 0.08889129012823105, + "learning_rate": 0.0028661800486618006, + "loss": 0.7642, + "step": 193 + }, + { + "epoch": 0.42439157779600767, + "grad_norm": 0.017528299242258072, + "learning_rate": 0.0028637469586374697, + "loss": 1.0019, + "step": 194 + }, + { + "epoch": 0.4265791632485644, + "grad_norm": 0.042831018567085266, + "learning_rate": 0.0028613138686131388, + "loss": 0.7849, + "step": 195 + }, + { + "epoch": 0.42876674870112114, + "grad_norm": 0.06844168901443481, + "learning_rate": 0.002858880778588808, + "loss": 0.8431, + "step": 196 + }, + { + "epoch": 0.4309543341536779, + "grad_norm": 0.056285906583070755, + "learning_rate": 0.002856447688564477, + "loss": 0.766, + "step": 197 + }, + { + "epoch": 0.4331419196062346, + "grad_norm": 0.03165756165981293, + "learning_rate": 0.002854014598540146, + "loss": 0.526, + "step": 198 + }, + { + "epoch": 0.43532950505879137, + "grad_norm": 0.01906641758978367, + "learning_rate": 0.002851581508515815, + "loss": 0.634, + "step": 199 + }, + { + "epoch": 0.4375170905113481, + "grad_norm": 0.03528127446770668, + "learning_rate": 0.0028491484184914842, + "loss": 0.7152, + "step": 200 + }, + { + "epoch": 0.43970467596390483, + "grad_norm": 0.03441726043820381, + "learning_rate": 0.0028467153284671533, + "loss": 0.807, + "step": 201 + }, + { + "epoch": 0.4418922614164616, + "grad_norm": 0.07585262507200241, + "learning_rate": 0.0028442822384428224, + "loss": 0.8068, + "step": 202 + }, + { + "epoch": 0.4440798468690183, + "grad_norm": 0.04637427628040314, + "learning_rate": 0.0028418491484184915, + "loss": 0.6726, + "step": 203 + }, + { + "epoch": 0.44626743232157506, + "grad_norm": 0.014708532020449638, + "learning_rate": 0.0028394160583941606, + "loss": 0.7633, + "step": 204 + }, + { + "epoch": 0.4484550177741318, + "grad_norm": 0.06609700620174408, + "learning_rate": 0.0028369829683698297, + "loss": 0.9395, + "step": 205 + }, + { + "epoch": 0.45064260322668853, + "grad_norm": 0.014884551987051964, + "learning_rate": 0.0028345498783454988, + "loss": 0.7629, + "step": 206 + }, + { + "epoch": 0.4528301886792453, + "grad_norm": 0.02310200408101082, + "learning_rate": 0.002832116788321168, + "loss": 0.6696, + "step": 207 + }, + { + "epoch": 0.455017774131802, + "grad_norm": 0.020516803488135338, + "learning_rate": 0.002829683698296837, + "loss": 0.6966, + "step": 208 + }, + { + "epoch": 0.45720535958435876, + "grad_norm": 0.018198775127530098, + "learning_rate": 0.002827250608272506, + "loss": 0.936, + "step": 209 + }, + { + "epoch": 0.4593929450369155, + "grad_norm": 0.032083529978990555, + "learning_rate": 0.002824817518248175, + "loss": 0.853, + "step": 210 + }, + { + "epoch": 0.46158053048947223, + "grad_norm": 0.01605304516851902, + "learning_rate": 0.0028223844282238442, + "loss": 0.8602, + "step": 211 + }, + { + "epoch": 0.463768115942029, + "grad_norm": 0.024932844564318657, + "learning_rate": 0.0028199513381995133, + "loss": 0.9888, + "step": 212 + }, + { + "epoch": 0.46595570139458575, + "grad_norm": 0.04917526990175247, + "learning_rate": 0.0028175182481751824, + "loss": 0.7155, + "step": 213 + }, + { + "epoch": 0.46814328684714246, + "grad_norm": 0.017666855826973915, + "learning_rate": 0.002815085158150852, + "loss": 0.7597, + "step": 214 + }, + { + "epoch": 0.4703308722996992, + "grad_norm": 0.06158105283975601, + "learning_rate": 0.0028126520681265206, + "loss": 0.808, + "step": 215 + }, + { + "epoch": 0.4725184577522559, + "grad_norm": 0.028100378811359406, + "learning_rate": 0.0028102189781021897, + "loss": 0.8217, + "step": 216 + }, + { + "epoch": 0.4747060432048127, + "grad_norm": 0.02049509435892105, + "learning_rate": 0.0028077858880778592, + "loss": 0.8441, + "step": 217 + }, + { + "epoch": 0.47689362865736945, + "grad_norm": 0.018524937331676483, + "learning_rate": 0.002805352798053528, + "loss": 0.7565, + "step": 218 + }, + { + "epoch": 0.47908121410992616, + "grad_norm": 0.017941996455192566, + "learning_rate": 0.002802919708029197, + "loss": 0.7098, + "step": 219 + }, + { + "epoch": 0.4812687995624829, + "grad_norm": 0.042154472321271896, + "learning_rate": 0.0028004866180048665, + "loss": 0.8742, + "step": 220 + }, + { + "epoch": 0.4834563850150396, + "grad_norm": 0.026872573420405388, + "learning_rate": 0.002798053527980535, + "loss": 0.7273, + "step": 221 + }, + { + "epoch": 0.4856439704675964, + "grad_norm": 0.02051514759659767, + "learning_rate": 0.0027956204379562043, + "loss": 0.795, + "step": 222 + }, + { + "epoch": 0.48783155592015315, + "grad_norm": 0.02145540714263916, + "learning_rate": 0.0027931873479318738, + "loss": 0.8192, + "step": 223 + }, + { + "epoch": 0.49001914137270985, + "grad_norm": 0.04769520461559296, + "learning_rate": 0.002790754257907543, + "loss": 0.8592, + "step": 224 + }, + { + "epoch": 0.4922067268252666, + "grad_norm": 0.01415792852640152, + "learning_rate": 0.0027883211678832115, + "loss": 0.7553, + "step": 225 + }, + { + "epoch": 0.4943943122778234, + "grad_norm": 0.012172535061836243, + "learning_rate": 0.002785888077858881, + "loss": 0.739, + "step": 226 + }, + { + "epoch": 0.4965818977303801, + "grad_norm": 0.055700596421957016, + "learning_rate": 0.00278345498783455, + "loss": 0.9405, + "step": 227 + }, + { + "epoch": 0.49876948318293685, + "grad_norm": 0.025790488347411156, + "learning_rate": 0.002781021897810219, + "loss": 0.6641, + "step": 228 + }, + { + "epoch": 0.5009570686354936, + "grad_norm": 0.013937574811279774, + "learning_rate": 0.0027785888077858883, + "loss": 0.7727, + "step": 229 + }, + { + "epoch": 0.5031446540880503, + "grad_norm": 0.03238683566451073, + "learning_rate": 0.0027761557177615574, + "loss": 0.8109, + "step": 230 + }, + { + "epoch": 0.505332239540607, + "grad_norm": 0.06841892749071121, + "learning_rate": 0.002773722627737226, + "loss": 0.7827, + "step": 231 + }, + { + "epoch": 0.5075198249931638, + "grad_norm": 0.05782823637127876, + "learning_rate": 0.002771289537712895, + "loss": 0.9616, + "step": 232 + }, + { + "epoch": 0.5097074104457205, + "grad_norm": 0.1389644742012024, + "learning_rate": 0.0027688564476885647, + "loss": 0.7447, + "step": 233 + }, + { + "epoch": 0.5118949958982772, + "grad_norm": 0.07213829457759857, + "learning_rate": 0.002766423357664234, + "loss": 0.8738, + "step": 234 + }, + { + "epoch": 0.5140825813508341, + "grad_norm": 0.03161882609128952, + "learning_rate": 0.0027639902676399025, + "loss": 0.5307, + "step": 235 + }, + { + "epoch": 0.5162701668033908, + "grad_norm": 0.03051130659878254, + "learning_rate": 0.002761557177615572, + "loss": 0.7123, + "step": 236 + }, + { + "epoch": 0.5184577522559475, + "grad_norm": 0.02562803030014038, + "learning_rate": 0.002759124087591241, + "loss": 0.8167, + "step": 237 + }, + { + "epoch": 0.5206453377085042, + "grad_norm": 0.03016614355146885, + "learning_rate": 0.0027566909975669097, + "loss": 0.6904, + "step": 238 + }, + { + "epoch": 0.522832923161061, + "grad_norm": 0.01147315464913845, + "learning_rate": 0.0027542579075425793, + "loss": 0.7007, + "step": 239 + }, + { + "epoch": 0.5250205086136177, + "grad_norm": 0.017779918387532234, + "learning_rate": 0.0027518248175182483, + "loss": 0.9054, + "step": 240 + }, + { + "epoch": 0.5272080940661744, + "grad_norm": 0.03238027170300484, + "learning_rate": 0.002749391727493917, + "loss": 0.7599, + "step": 241 + }, + { + "epoch": 0.5293956795187312, + "grad_norm": 0.007716326508671045, + "learning_rate": 0.0027469586374695865, + "loss": 0.7561, + "step": 242 + }, + { + "epoch": 0.5315832649712879, + "grad_norm": 0.028708985075354576, + "learning_rate": 0.0027445255474452556, + "loss": 0.6842, + "step": 243 + }, + { + "epoch": 0.5337708504238446, + "grad_norm": 0.021554840728640556, + "learning_rate": 0.0027420924574209247, + "loss": 0.9046, + "step": 244 + }, + { + "epoch": 0.5359584358764015, + "grad_norm": 0.010056296363472939, + "learning_rate": 0.002739659367396594, + "loss": 0.7747, + "step": 245 + }, + { + "epoch": 0.5381460213289582, + "grad_norm": 0.014583374373614788, + "learning_rate": 0.002737226277372263, + "loss": 0.8104, + "step": 246 + }, + { + "epoch": 0.5403336067815149, + "grad_norm": 0.10760743170976639, + "learning_rate": 0.002734793187347932, + "loss": 1.0181, + "step": 247 + }, + { + "epoch": 0.5425211922340717, + "grad_norm": 0.030982421711087227, + "learning_rate": 0.002732360097323601, + "loss": 0.7125, + "step": 248 + }, + { + "epoch": 0.5447087776866284, + "grad_norm": 0.017710238695144653, + "learning_rate": 0.00272992700729927, + "loss": 0.9256, + "step": 249 + }, + { + "epoch": 0.5468963631391851, + "grad_norm": 0.027831239625811577, + "learning_rate": 0.0027274939172749393, + "loss": 0.7537, + "step": 250 + }, + { + "epoch": 0.5490839485917418, + "grad_norm": 0.019798962399363518, + "learning_rate": 0.0027250608272506084, + "loss": 0.6165, + "step": 251 + }, + { + "epoch": 0.5512715340442986, + "grad_norm": 0.00836907234042883, + "learning_rate": 0.0027226277372262775, + "loss": 0.7968, + "step": 252 + }, + { + "epoch": 0.5534591194968553, + "grad_norm": 0.018117599189281464, + "learning_rate": 0.0027201946472019465, + "loss": 0.6087, + "step": 253 + }, + { + "epoch": 0.555646704949412, + "grad_norm": 0.017056763172149658, + "learning_rate": 0.0027177615571776156, + "loss": 0.7837, + "step": 254 + }, + { + "epoch": 0.5578342904019689, + "grad_norm": 0.009035620838403702, + "learning_rate": 0.0027153284671532847, + "loss": 0.6376, + "step": 255 + }, + { + "epoch": 0.5600218758545256, + "grad_norm": 0.015250611118972301, + "learning_rate": 0.002712895377128954, + "loss": 0.7869, + "step": 256 + }, + { + "epoch": 0.5622094613070823, + "grad_norm": 0.014554915949702263, + "learning_rate": 0.002710462287104623, + "loss": 0.9046, + "step": 257 + }, + { + "epoch": 0.5643970467596391, + "grad_norm": 0.011779931373894215, + "learning_rate": 0.002708029197080292, + "loss": 0.8662, + "step": 258 + }, + { + "epoch": 0.5665846322121958, + "grad_norm": 0.012663912028074265, + "learning_rate": 0.002705596107055961, + "loss": 1.3081, + "step": 259 + }, + { + "epoch": 0.5687722176647525, + "grad_norm": 0.0059722489677369595, + "learning_rate": 0.00270316301703163, + "loss": 0.6796, + "step": 260 + }, + { + "epoch": 0.5709598031173093, + "grad_norm": 0.03664208948612213, + "learning_rate": 0.0027007299270072993, + "loss": 0.9093, + "step": 261 + }, + { + "epoch": 0.573147388569866, + "grad_norm": 0.042986199259757996, + "learning_rate": 0.0026982968369829684, + "loss": 0.9444, + "step": 262 + }, + { + "epoch": 0.5753349740224227, + "grad_norm": 0.012048511765897274, + "learning_rate": 0.0026958637469586375, + "loss": 0.8134, + "step": 263 + }, + { + "epoch": 0.5775225594749795, + "grad_norm": 0.012062503024935722, + "learning_rate": 0.0026934306569343066, + "loss": 0.7274, + "step": 264 + }, + { + "epoch": 0.5797101449275363, + "grad_norm": 0.02607789821922779, + "learning_rate": 0.0026909975669099757, + "loss": 0.6531, + "step": 265 + }, + { + "epoch": 0.581897730380093, + "grad_norm": 0.014329343102872372, + "learning_rate": 0.002688564476885645, + "loss": 0.6966, + "step": 266 + }, + { + "epoch": 0.5840853158326497, + "grad_norm": 0.013629244640469551, + "learning_rate": 0.002686131386861314, + "loss": 0.7831, + "step": 267 + }, + { + "epoch": 0.5862729012852065, + "grad_norm": 0.009315542876720428, + "learning_rate": 0.002683698296836983, + "loss": 0.6297, + "step": 268 + }, + { + "epoch": 0.5884604867377632, + "grad_norm": 0.051916949450969696, + "learning_rate": 0.002681265206812652, + "loss": 0.7651, + "step": 269 + }, + { + "epoch": 0.5906480721903199, + "grad_norm": 0.012272450141608715, + "learning_rate": 0.002678832116788321, + "loss": 0.6713, + "step": 270 + }, + { + "epoch": 0.5928356576428767, + "grad_norm": 0.011517216451466084, + "learning_rate": 0.00267639902676399, + "loss": 0.6117, + "step": 271 + }, + { + "epoch": 0.5950232430954334, + "grad_norm": 0.010973330587148666, + "learning_rate": 0.0026739659367396593, + "loss": 0.7631, + "step": 272 + }, + { + "epoch": 0.5972108285479901, + "grad_norm": 0.06580788642168045, + "learning_rate": 0.0026715328467153284, + "loss": 0.9153, + "step": 273 + }, + { + "epoch": 0.5993984140005469, + "grad_norm": 0.011350773274898529, + "learning_rate": 0.0026690997566909975, + "loss": 0.8094, + "step": 274 + }, + { + "epoch": 0.6015859994531036, + "grad_norm": 0.019090717658400536, + "learning_rate": 0.0026666666666666666, + "loss": 0.9304, + "step": 275 + }, + { + "epoch": 0.6037735849056604, + "grad_norm": 0.015177314169704914, + "learning_rate": 0.002664233576642336, + "loss": 0.6859, + "step": 276 + }, + { + "epoch": 0.6059611703582172, + "grad_norm": 0.020254317671060562, + "learning_rate": 0.0026618004866180048, + "loss": 0.8386, + "step": 277 + }, + { + "epoch": 0.6081487558107739, + "grad_norm": 0.014171348884701729, + "learning_rate": 0.002659367396593674, + "loss": 0.8112, + "step": 278 + }, + { + "epoch": 0.6103363412633306, + "grad_norm": 0.00894536729902029, + "learning_rate": 0.0026569343065693434, + "loss": 0.6877, + "step": 279 + }, + { + "epoch": 0.6125239267158873, + "grad_norm": 0.011850811541080475, + "learning_rate": 0.002654501216545012, + "loss": 0.8639, + "step": 280 + }, + { + "epoch": 0.6147115121684441, + "grad_norm": 0.012202342972159386, + "learning_rate": 0.002652068126520681, + "loss": 0.7851, + "step": 281 + }, + { + "epoch": 0.6168990976210008, + "grad_norm": 0.014019378460943699, + "learning_rate": 0.0026496350364963507, + "loss": 0.945, + "step": 282 + }, + { + "epoch": 0.6190866830735575, + "grad_norm": 0.013264323584735394, + "learning_rate": 0.0026472019464720193, + "loss": 0.6363, + "step": 283 + }, + { + "epoch": 0.6212742685261143, + "grad_norm": 0.010803530924022198, + "learning_rate": 0.0026447688564476884, + "loss": 0.7855, + "step": 284 + }, + { + "epoch": 0.623461853978671, + "grad_norm": 0.015852496027946472, + "learning_rate": 0.002642335766423358, + "loss": 0.6334, + "step": 285 + }, + { + "epoch": 0.6256494394312277, + "grad_norm": 0.023904947564005852, + "learning_rate": 0.002639902676399027, + "loss": 0.5551, + "step": 286 + }, + { + "epoch": 0.6278370248837846, + "grad_norm": 0.00868566520512104, + "learning_rate": 0.0026374695863746957, + "loss": 0.9256, + "step": 287 + }, + { + "epoch": 0.6300246103363413, + "grad_norm": 0.011297028511762619, + "learning_rate": 0.002635036496350365, + "loss": 0.7896, + "step": 288 + }, + { + "epoch": 0.632212195788898, + "grad_norm": 0.01018528826534748, + "learning_rate": 0.0026326034063260343, + "loss": 0.8198, + "step": 289 + }, + { + "epoch": 0.6343997812414548, + "grad_norm": 0.015003956854343414, + "learning_rate": 0.002630170316301703, + "loss": 0.7424, + "step": 290 + }, + { + "epoch": 0.6365873666940115, + "grad_norm": 0.007440235000103712, + "learning_rate": 0.0026277372262773725, + "loss": 0.6904, + "step": 291 + }, + { + "epoch": 0.6387749521465682, + "grad_norm": 0.014310602098703384, + "learning_rate": 0.0026253041362530416, + "loss": 0.7179, + "step": 292 + }, + { + "epoch": 0.6409625375991249, + "grad_norm": 0.008294426836073399, + "learning_rate": 0.0026228710462287102, + "loss": 0.827, + "step": 293 + }, + { + "epoch": 0.6431501230516817, + "grad_norm": 0.006840107962489128, + "learning_rate": 0.0026204379562043798, + "loss": 0.6749, + "step": 294 + }, + { + "epoch": 0.6453377085042384, + "grad_norm": 0.008538591675460339, + "learning_rate": 0.002618004866180049, + "loss": 0.7467, + "step": 295 + }, + { + "epoch": 0.6475252939567951, + "grad_norm": 0.007157974410802126, + "learning_rate": 0.0026155717761557175, + "loss": 0.7233, + "step": 296 + }, + { + "epoch": 0.649712879409352, + "grad_norm": 0.030327659100294113, + "learning_rate": 0.002613138686131387, + "loss": 0.6642, + "step": 297 + }, + { + "epoch": 0.6519004648619087, + "grad_norm": 0.012880248948931694, + "learning_rate": 0.002610705596107056, + "loss": 0.9694, + "step": 298 + }, + { + "epoch": 0.6540880503144654, + "grad_norm": 0.014233557507395744, + "learning_rate": 0.0026082725060827252, + "loss": 0.7686, + "step": 299 + }, + { + "epoch": 0.6562756357670222, + "grad_norm": 0.008432603441178799, + "learning_rate": 0.0026058394160583943, + "loss": 0.9355, + "step": 300 + }, + { + "epoch": 0.6584632212195789, + "grad_norm": 0.009492720477283001, + "learning_rate": 0.0026034063260340634, + "loss": 0.7637, + "step": 301 + }, + { + "epoch": 0.6606508066721356, + "grad_norm": 0.008224152028560638, + "learning_rate": 0.0026009732360097325, + "loss": 0.7609, + "step": 302 + }, + { + "epoch": 0.6628383921246924, + "grad_norm": 0.011647099629044533, + "learning_rate": 0.0025985401459854016, + "loss": 0.6565, + "step": 303 + }, + { + "epoch": 0.6650259775772491, + "grad_norm": 0.0120640117675066, + "learning_rate": 0.0025961070559610707, + "loss": 0.6751, + "step": 304 + }, + { + "epoch": 0.6672135630298058, + "grad_norm": 0.014007077552378178, + "learning_rate": 0.0025936739659367398, + "loss": 0.8132, + "step": 305 + }, + { + "epoch": 0.6694011484823625, + "grad_norm": 0.014167044311761856, + "learning_rate": 0.002591240875912409, + "loss": 0.8102, + "step": 306 + }, + { + "epoch": 0.6715887339349194, + "grad_norm": 0.016142327338457108, + "learning_rate": 0.002588807785888078, + "loss": 0.8004, + "step": 307 + }, + { + "epoch": 0.6737763193874761, + "grad_norm": 0.007279639132320881, + "learning_rate": 0.002586374695863747, + "loss": 0.732, + "step": 308 + }, + { + "epoch": 0.6759639048400328, + "grad_norm": 0.011619196273386478, + "learning_rate": 0.002583941605839416, + "loss": 0.603, + "step": 309 + }, + { + "epoch": 0.6781514902925896, + "grad_norm": 0.011564897373318672, + "learning_rate": 0.0025815085158150852, + "loss": 0.9163, + "step": 310 + }, + { + "epoch": 0.6803390757451463, + "grad_norm": 0.010117938742041588, + "learning_rate": 0.0025790754257907543, + "loss": 0.8683, + "step": 311 + }, + { + "epoch": 0.682526661197703, + "grad_norm": 0.017769185826182365, + "learning_rate": 0.0025766423357664234, + "loss": 0.6244, + "step": 312 + }, + { + "epoch": 0.6847142466502598, + "grad_norm": 0.012199788354337215, + "learning_rate": 0.0025742092457420925, + "loss": 0.7076, + "step": 313 + }, + { + "epoch": 0.6869018321028165, + "grad_norm": 0.008083075284957886, + "learning_rate": 0.0025717761557177616, + "loss": 0.8658, + "step": 314 + }, + { + "epoch": 0.6890894175553732, + "grad_norm": 0.01086794026196003, + "learning_rate": 0.0025693430656934307, + "loss": 0.6941, + "step": 315 + }, + { + "epoch": 0.69127700300793, + "grad_norm": 0.010161925107240677, + "learning_rate": 0.0025669099756691, + "loss": 0.6715, + "step": 316 + }, + { + "epoch": 0.6934645884604868, + "grad_norm": 0.008891239762306213, + "learning_rate": 0.002564476885644769, + "loss": 0.8093, + "step": 317 + }, + { + "epoch": 0.6956521739130435, + "grad_norm": 0.018787039443850517, + "learning_rate": 0.002562043795620438, + "loss": 0.8482, + "step": 318 + }, + { + "epoch": 0.6978397593656002, + "grad_norm": 0.02541973814368248, + "learning_rate": 0.002559610705596107, + "loss": 0.76, + "step": 319 + }, + { + "epoch": 0.700027344818157, + "grad_norm": 0.011948470957577229, + "learning_rate": 0.002557177615571776, + "loss": 0.7625, + "step": 320 + }, + { + "epoch": 0.7022149302707137, + "grad_norm": 0.009559310041368008, + "learning_rate": 0.0025547445255474453, + "loss": 0.7354, + "step": 321 + }, + { + "epoch": 0.7044025157232704, + "grad_norm": 0.008267502300441265, + "learning_rate": 0.0025523114355231144, + "loss": 0.7065, + "step": 322 + }, + { + "epoch": 0.7065901011758272, + "grad_norm": 0.010692731477320194, + "learning_rate": 0.0025498783454987834, + "loss": 0.983, + "step": 323 + }, + { + "epoch": 0.7087776866283839, + "grad_norm": 0.0124723045155406, + "learning_rate": 0.0025474452554744525, + "loss": 0.6154, + "step": 324 + }, + { + "epoch": 0.7109652720809406, + "grad_norm": 0.015448692254722118, + "learning_rate": 0.0025450121654501216, + "loss": 0.6129, + "step": 325 + }, + { + "epoch": 0.7131528575334974, + "grad_norm": 0.013601388782262802, + "learning_rate": 0.0025425790754257907, + "loss": 0.7214, + "step": 326 + }, + { + "epoch": 0.7153404429860541, + "grad_norm": 0.012070258148014545, + "learning_rate": 0.00254014598540146, + "loss": 0.7077, + "step": 327 + }, + { + "epoch": 0.7175280284386109, + "grad_norm": 0.05267300084233284, + "learning_rate": 0.0025377128953771293, + "loss": 0.7714, + "step": 328 + }, + { + "epoch": 0.7197156138911677, + "grad_norm": 0.012087949551641941, + "learning_rate": 0.002535279805352798, + "loss": 0.9047, + "step": 329 + }, + { + "epoch": 0.7219031993437244, + "grad_norm": 0.01940520666539669, + "learning_rate": 0.002532846715328467, + "loss": 0.7804, + "step": 330 + }, + { + "epoch": 0.7240907847962811, + "grad_norm": 0.011884646490216255, + "learning_rate": 0.0025304136253041366, + "loss": 0.6859, + "step": 331 + }, + { + "epoch": 0.7262783702488378, + "grad_norm": 0.02514353021979332, + "learning_rate": 0.0025279805352798053, + "loss": 0.7764, + "step": 332 + }, + { + "epoch": 0.7284659557013946, + "grad_norm": 0.015074629336595535, + "learning_rate": 0.0025255474452554744, + "loss": 0.6756, + "step": 333 + }, + { + "epoch": 0.7306535411539513, + "grad_norm": 0.036420077085494995, + "learning_rate": 0.002523114355231144, + "loss": 0.7407, + "step": 334 + }, + { + "epoch": 0.732841126606508, + "grad_norm": 0.015621097758412361, + "learning_rate": 0.0025206812652068126, + "loss": 0.8072, + "step": 335 + }, + { + "epoch": 0.7350287120590648, + "grad_norm": 0.010994632728397846, + "learning_rate": 0.0025182481751824816, + "loss": 0.9436, + "step": 336 + }, + { + "epoch": 0.7372162975116215, + "grad_norm": 0.017064619809389114, + "learning_rate": 0.002515815085158151, + "loss": 0.9386, + "step": 337 + }, + { + "epoch": 0.7394038829641782, + "grad_norm": 0.023198846727609634, + "learning_rate": 0.00251338199513382, + "loss": 0.7892, + "step": 338 + }, + { + "epoch": 0.7415914684167351, + "grad_norm": 0.005636582616716623, + "learning_rate": 0.002510948905109489, + "loss": 0.8005, + "step": 339 + }, + { + "epoch": 0.7437790538692918, + "grad_norm": 0.008022590540349483, + "learning_rate": 0.0025085158150851584, + "loss": 0.9142, + "step": 340 + }, + { + "epoch": 0.7459666393218485, + "grad_norm": 0.013106726109981537, + "learning_rate": 0.0025060827250608275, + "loss": 0.6845, + "step": 341 + }, + { + "epoch": 0.7481542247744053, + "grad_norm": 0.015878600999712944, + "learning_rate": 0.002503649635036496, + "loss": 0.8528, + "step": 342 + }, + { + "epoch": 0.750341810226962, + "grad_norm": 0.013783195056021214, + "learning_rate": 0.0025012165450121657, + "loss": 0.8487, + "step": 343 + }, + { + "epoch": 0.7525293956795187, + "grad_norm": 0.05050954222679138, + "learning_rate": 0.002498783454987835, + "loss": 0.9014, + "step": 344 + }, + { + "epoch": 0.7547169811320755, + "grad_norm": 0.009747706353664398, + "learning_rate": 0.0024963503649635035, + "loss": 0.8331, + "step": 345 + }, + { + "epoch": 0.7569045665846322, + "grad_norm": 0.27641791105270386, + "learning_rate": 0.0024939172749391726, + "loss": 0.8328, + "step": 346 + }, + { + "epoch": 0.7590921520371889, + "grad_norm": 0.022615063935518265, + "learning_rate": 0.002491484184914842, + "loss": 1.025, + "step": 347 + }, + { + "epoch": 0.7612797374897456, + "grad_norm": 0.018037477508187294, + "learning_rate": 0.0024890510948905108, + "loss": 0.8058, + "step": 348 + }, + { + "epoch": 0.7634673229423025, + "grad_norm": 0.03229966387152672, + "learning_rate": 0.00248661800486618, + "loss": 0.8224, + "step": 349 + }, + { + "epoch": 0.7656549083948592, + "grad_norm": 0.03468572720885277, + "learning_rate": 0.0024841849148418494, + "loss": 0.6558, + "step": 350 + }, + { + "epoch": 0.7678424938474159, + "grad_norm": 0.04352645203471184, + "learning_rate": 0.0024817518248175185, + "loss": 0.7869, + "step": 351 + }, + { + "epoch": 0.7700300792999727, + "grad_norm": 0.0520501509308815, + "learning_rate": 0.002479318734793187, + "loss": 0.8318, + "step": 352 + }, + { + "epoch": 0.7722176647525294, + "grad_norm": 0.025180073454976082, + "learning_rate": 0.0024768856447688566, + "loss": 0.8454, + "step": 353 + }, + { + "epoch": 0.7744052502050861, + "grad_norm": 0.013843162916600704, + "learning_rate": 0.0024744525547445257, + "loss": 0.979, + "step": 354 + }, + { + "epoch": 0.7765928356576429, + "grad_norm": 0.026960408315062523, + "learning_rate": 0.0024720194647201944, + "loss": 0.7692, + "step": 355 + }, + { + "epoch": 0.7787804211101996, + "grad_norm": 0.02509387582540512, + "learning_rate": 0.002469586374695864, + "loss": 0.7471, + "step": 356 + }, + { + "epoch": 0.7809680065627563, + "grad_norm": 0.014011479914188385, + "learning_rate": 0.002467153284671533, + "loss": 0.7752, + "step": 357 + }, + { + "epoch": 0.7831555920153132, + "grad_norm": 0.01862008310854435, + "learning_rate": 0.0024647201946472017, + "loss": 0.9891, + "step": 358 + }, + { + "epoch": 0.7853431774678699, + "grad_norm": 0.01249686349183321, + "learning_rate": 0.002462287104622871, + "loss": 0.9046, + "step": 359 + }, + { + "epoch": 0.7875307629204266, + "grad_norm": 0.018710242584347725, + "learning_rate": 0.0024598540145985403, + "loss": 0.7926, + "step": 360 + }, + { + "epoch": 0.7897183483729833, + "grad_norm": 0.015550883486866951, + "learning_rate": 0.0024574209245742094, + "loss": 0.9209, + "step": 361 + }, + { + "epoch": 0.7919059338255401, + "grad_norm": 0.011178571730852127, + "learning_rate": 0.0024549878345498785, + "loss": 0.7962, + "step": 362 + }, + { + "epoch": 0.7940935192780968, + "grad_norm": 0.017678866162896156, + "learning_rate": 0.0024525547445255476, + "loss": 0.9532, + "step": 363 + }, + { + "epoch": 0.7962811047306535, + "grad_norm": 0.021445617079734802, + "learning_rate": 0.0024501216545012167, + "loss": 0.8302, + "step": 364 + }, + { + "epoch": 0.7984686901832103, + "grad_norm": 0.015537573955953121, + "learning_rate": 0.0024476885644768858, + "loss": 0.7665, + "step": 365 + }, + { + "epoch": 0.800656275635767, + "grad_norm": 0.015302474610507488, + "learning_rate": 0.002445255474452555, + "loss": 0.7161, + "step": 366 + }, + { + "epoch": 0.8028438610883237, + "grad_norm": 0.013649791479110718, + "learning_rate": 0.002442822384428224, + "loss": 0.6766, + "step": 367 + }, + { + "epoch": 0.8050314465408805, + "grad_norm": 0.01138269528746605, + "learning_rate": 0.002440389294403893, + "loss": 0.7797, + "step": 368 + }, + { + "epoch": 0.8072190319934373, + "grad_norm": 0.014025691896677017, + "learning_rate": 0.002437956204379562, + "loss": 0.779, + "step": 369 + }, + { + "epoch": 0.809406617445994, + "grad_norm": 0.011000445112586021, + "learning_rate": 0.002435523114355231, + "loss": 0.8064, + "step": 370 + }, + { + "epoch": 0.8115942028985508, + "grad_norm": 0.010309292934834957, + "learning_rate": 0.0024330900243309003, + "loss": 0.7252, + "step": 371 + }, + { + "epoch": 0.8137817883511075, + "grad_norm": 0.007664249278604984, + "learning_rate": 0.0024306569343065694, + "loss": 0.7081, + "step": 372 + }, + { + "epoch": 0.8159693738036642, + "grad_norm": 0.015154222957789898, + "learning_rate": 0.0024282238442822385, + "loss": 0.7869, + "step": 373 + }, + { + "epoch": 0.8181569592562209, + "grad_norm": 0.01371028833091259, + "learning_rate": 0.0024257907542579076, + "loss": 0.7423, + "step": 374 + }, + { + "epoch": 0.8203445447087777, + "grad_norm": 0.012794865295290947, + "learning_rate": 0.0024233576642335767, + "loss": 0.9341, + "step": 375 + }, + { + "epoch": 0.8225321301613344, + "grad_norm": 0.011340939439833164, + "learning_rate": 0.0024209245742092458, + "loss": 1.0406, + "step": 376 + }, + { + "epoch": 0.8247197156138911, + "grad_norm": 0.013491635210812092, + "learning_rate": 0.002418491484184915, + "loss": 0.763, + "step": 377 + }, + { + "epoch": 0.8269073010664479, + "grad_norm": 0.008016029372811317, + "learning_rate": 0.002416058394160584, + "loss": 0.7132, + "step": 378 + }, + { + "epoch": 0.8290948865190046, + "grad_norm": 0.011460046283900738, + "learning_rate": 0.002413625304136253, + "loss": 0.6306, + "step": 379 + }, + { + "epoch": 0.8312824719715614, + "grad_norm": 0.0110190873965621, + "learning_rate": 0.002411192214111922, + "loss": 0.6944, + "step": 380 + }, + { + "epoch": 0.8334700574241182, + "grad_norm": 0.008347691036760807, + "learning_rate": 0.0024087591240875912, + "loss": 0.8926, + "step": 381 + }, + { + "epoch": 0.8356576428766749, + "grad_norm": 0.007940311916172504, + "learning_rate": 0.0024063260340632603, + "loss": 0.8666, + "step": 382 + }, + { + "epoch": 0.8378452283292316, + "grad_norm": 0.011534546501934528, + "learning_rate": 0.0024038929440389294, + "loss": 0.9077, + "step": 383 + }, + { + "epoch": 0.8400328137817884, + "grad_norm": 0.010218126699328423, + "learning_rate": 0.0024014598540145985, + "loss": 0.8393, + "step": 384 + }, + { + "epoch": 0.8422203992343451, + "grad_norm": 0.01117737777531147, + "learning_rate": 0.0023990267639902676, + "loss": 0.8401, + "step": 385 + }, + { + "epoch": 0.8444079846869018, + "grad_norm": 0.01495604682713747, + "learning_rate": 0.0023965936739659367, + "loss": 0.6524, + "step": 386 + }, + { + "epoch": 0.8465955701394585, + "grad_norm": 0.01132154744118452, + "learning_rate": 0.002394160583941606, + "loss": 0.6973, + "step": 387 + }, + { + "epoch": 0.8487831555920153, + "grad_norm": 0.016704557463526726, + "learning_rate": 0.002391727493917275, + "loss": 0.8638, + "step": 388 + }, + { + "epoch": 0.850970741044572, + "grad_norm": 0.03163198381662369, + "learning_rate": 0.002389294403892944, + "loss": 0.6569, + "step": 389 + }, + { + "epoch": 0.8531583264971287, + "grad_norm": 0.009892611764371395, + "learning_rate": 0.002386861313868613, + "loss": 0.8507, + "step": 390 + }, + { + "epoch": 0.8553459119496856, + "grad_norm": 0.009704566560685635, + "learning_rate": 0.002384428223844282, + "loss": 0.7567, + "step": 391 + }, + { + "epoch": 0.8575334974022423, + "grad_norm": 0.011233623139560223, + "learning_rate": 0.0023819951338199512, + "loss": 0.9072, + "step": 392 + }, + { + "epoch": 0.859721082854799, + "grad_norm": 0.017818894237279892, + "learning_rate": 0.0023795620437956208, + "loss": 0.6716, + "step": 393 + }, + { + "epoch": 0.8619086683073558, + "grad_norm": 0.009800358675420284, + "learning_rate": 0.0023771289537712894, + "loss": 0.6331, + "step": 394 + }, + { + "epoch": 0.8640962537599125, + "grad_norm": 0.00855625793337822, + "learning_rate": 0.0023746958637469585, + "loss": 0.8208, + "step": 395 + }, + { + "epoch": 0.8662838392124692, + "grad_norm": 0.007912772707641125, + "learning_rate": 0.002372262773722628, + "loss": 0.6897, + "step": 396 + }, + { + "epoch": 0.868471424665026, + "grad_norm": 0.015991948544979095, + "learning_rate": 0.0023698296836982967, + "loss": 0.5838, + "step": 397 + }, + { + "epoch": 0.8706590101175827, + "grad_norm": 0.013330014422535896, + "learning_rate": 0.002367396593673966, + "loss": 0.7765, + "step": 398 + }, + { + "epoch": 0.8728465955701394, + "grad_norm": 0.0108262337744236, + "learning_rate": 0.0023649635036496353, + "loss": 0.8259, + "step": 399 + }, + { + "epoch": 0.8750341810226961, + "grad_norm": 0.01277016382664442, + "learning_rate": 0.002362530413625304, + "loss": 0.5084, + "step": 400 + }, + { + "epoch": 0.877221766475253, + "grad_norm": 0.00825558416545391, + "learning_rate": 0.002360097323600973, + "loss": 0.8388, + "step": 401 + }, + { + "epoch": 0.8794093519278097, + "grad_norm": 0.008703862316906452, + "learning_rate": 0.0023576642335766426, + "loss": 0.889, + "step": 402 + }, + { + "epoch": 0.8815969373803664, + "grad_norm": 0.009978721849620342, + "learning_rate": 0.0023552311435523117, + "loss": 0.7724, + "step": 403 + }, + { + "epoch": 0.8837845228329232, + "grad_norm": 0.009193633683025837, + "learning_rate": 0.0023527980535279804, + "loss": 0.9257, + "step": 404 + }, + { + "epoch": 0.8859721082854799, + "grad_norm": 0.009905806742608547, + "learning_rate": 0.00235036496350365, + "loss": 0.9046, + "step": 405 + }, + { + "epoch": 0.8881596937380366, + "grad_norm": 0.0108295027166605, + "learning_rate": 0.002347931873479319, + "loss": 0.6427, + "step": 406 + }, + { + "epoch": 0.8903472791905934, + "grad_norm": 0.010898306965827942, + "learning_rate": 0.0023454987834549876, + "loss": 0.6888, + "step": 407 + }, + { + "epoch": 0.8925348646431501, + "grad_norm": 0.013794617727398872, + "learning_rate": 0.002343065693430657, + "loss": 0.8544, + "step": 408 + }, + { + "epoch": 0.8947224500957068, + "grad_norm": 0.014423336833715439, + "learning_rate": 0.0023406326034063262, + "loss": 0.7525, + "step": 409 + }, + { + "epoch": 0.8969100355482637, + "grad_norm": 0.010249799117445946, + "learning_rate": 0.002338199513381995, + "loss": 0.7588, + "step": 410 + }, + { + "epoch": 0.8990976210008204, + "grad_norm": 0.014359788969159126, + "learning_rate": 0.0023357664233576644, + "loss": 0.8303, + "step": 411 + }, + { + "epoch": 0.9012852064533771, + "grad_norm": 0.007848945446312428, + "learning_rate": 0.0023333333333333335, + "loss": 0.7478, + "step": 412 + }, + { + "epoch": 0.9034727919059339, + "grad_norm": 0.010217231698334217, + "learning_rate": 0.0023309002433090026, + "loss": 0.8758, + "step": 413 + }, + { + "epoch": 0.9056603773584906, + "grad_norm": 0.008166585117578506, + "learning_rate": 0.0023284671532846717, + "loss": 0.8669, + "step": 414 + }, + { + "epoch": 0.9078479628110473, + "grad_norm": 0.08122234046459198, + "learning_rate": 0.002326034063260341, + "loss": 0.8672, + "step": 415 + }, + { + "epoch": 0.910035548263604, + "grad_norm": 0.026630746200680733, + "learning_rate": 0.00232360097323601, + "loss": 0.8429, + "step": 416 + }, + { + "epoch": 0.9122231337161608, + "grad_norm": 0.011199391447007656, + "learning_rate": 0.002321167883211679, + "loss": 0.7394, + "step": 417 + }, + { + "epoch": 0.9144107191687175, + "grad_norm": 0.034359946846961975, + "learning_rate": 0.002318734793187348, + "loss": 0.757, + "step": 418 + }, + { + "epoch": 0.9165983046212742, + "grad_norm": 0.007310883607715368, + "learning_rate": 0.002316301703163017, + "loss": 0.8614, + "step": 419 + }, + { + "epoch": 0.918785890073831, + "grad_norm": 0.017180046066641808, + "learning_rate": 0.002313868613138686, + "loss": 0.7018, + "step": 420 + }, + { + "epoch": 0.9209734755263878, + "grad_norm": 0.010772480629384518, + "learning_rate": 0.0023114355231143554, + "loss": 1.0247, + "step": 421 + }, + { + "epoch": 0.9231610609789445, + "grad_norm": 0.013757293112576008, + "learning_rate": 0.0023090024330900244, + "loss": 0.7243, + "step": 422 + }, + { + "epoch": 0.9253486464315013, + "grad_norm": 0.010658146813511848, + "learning_rate": 0.0023065693430656935, + "loss": 0.8289, + "step": 423 + }, + { + "epoch": 0.927536231884058, + "grad_norm": 0.013902239501476288, + "learning_rate": 0.0023041362530413626, + "loss": 0.7706, + "step": 424 + }, + { + "epoch": 0.9297238173366147, + "grad_norm": 0.011173736304044724, + "learning_rate": 0.0023017031630170317, + "loss": 0.8055, + "step": 425 + }, + { + "epoch": 0.9319114027891715, + "grad_norm": 0.011386138387024403, + "learning_rate": 0.002299270072992701, + "loss": 0.6273, + "step": 426 + }, + { + "epoch": 0.9340989882417282, + "grad_norm": 0.008862471207976341, + "learning_rate": 0.00229683698296837, + "loss": 0.7032, + "step": 427 + }, + { + "epoch": 0.9362865736942849, + "grad_norm": 0.02106628008186817, + "learning_rate": 0.002294403892944039, + "loss": 0.7835, + "step": 428 + }, + { + "epoch": 0.9384741591468416, + "grad_norm": 0.010091581381857395, + "learning_rate": 0.002291970802919708, + "loss": 0.6805, + "step": 429 + }, + { + "epoch": 0.9406617445993984, + "grad_norm": 0.012447184883058071, + "learning_rate": 0.002289537712895377, + "loss": 0.7323, + "step": 430 + }, + { + "epoch": 0.9428493300519551, + "grad_norm": 0.015980314463377, + "learning_rate": 0.0022871046228710463, + "loss": 0.8842, + "step": 431 + }, + { + "epoch": 0.9450369155045119, + "grad_norm": 0.007705094758421183, + "learning_rate": 0.0022846715328467154, + "loss": 0.8907, + "step": 432 + }, + { + "epoch": 0.9472245009570687, + "grad_norm": 0.00878717191517353, + "learning_rate": 0.0022822384428223845, + "loss": 0.7455, + "step": 433 + }, + { + "epoch": 0.9494120864096254, + "grad_norm": 0.026101326569914818, + "learning_rate": 0.0022798053527980536, + "loss": 0.6827, + "step": 434 + }, + { + "epoch": 0.9515996718621821, + "grad_norm": 0.008718657307326794, + "learning_rate": 0.0022773722627737226, + "loss": 0.9253, + "step": 435 + }, + { + "epoch": 0.9537872573147389, + "grad_norm": 0.009151890873908997, + "learning_rate": 0.0022749391727493917, + "loss": 0.8735, + "step": 436 + }, + { + "epoch": 0.9559748427672956, + "grad_norm": 0.012189007364213467, + "learning_rate": 0.002272506082725061, + "loss": 0.94, + "step": 437 + }, + { + "epoch": 0.9581624282198523, + "grad_norm": 0.00890439935028553, + "learning_rate": 0.00227007299270073, + "loss": 0.7572, + "step": 438 + }, + { + "epoch": 0.9603500136724091, + "grad_norm": 0.013200386427342892, + "learning_rate": 0.002267639902676399, + "loss": 0.7361, + "step": 439 + }, + { + "epoch": 0.9625375991249658, + "grad_norm": 0.011736634187400341, + "learning_rate": 0.002265206812652068, + "loss": 0.6326, + "step": 440 + }, + { + "epoch": 0.9647251845775225, + "grad_norm": 0.006781425327062607, + "learning_rate": 0.002262773722627737, + "loss": 0.7254, + "step": 441 + }, + { + "epoch": 0.9669127700300792, + "grad_norm": 0.008296315558254719, + "learning_rate": 0.0022603406326034063, + "loss": 0.6898, + "step": 442 + }, + { + "epoch": 0.9691003554826361, + "grad_norm": 0.008293522521853447, + "learning_rate": 0.0022579075425790754, + "loss": 0.7953, + "step": 443 + }, + { + "epoch": 0.9712879409351928, + "grad_norm": 0.00848364643752575, + "learning_rate": 0.0022554744525547445, + "loss": 0.8203, + "step": 444 + }, + { + "epoch": 0.9734755263877495, + "grad_norm": 0.012193895876407623, + "learning_rate": 0.002253041362530414, + "loss": 0.6794, + "step": 445 + }, + { + "epoch": 0.9756631118403063, + "grad_norm": 0.018784867599606514, + "learning_rate": 0.0022506082725060827, + "loss": 0.5793, + "step": 446 + }, + { + "epoch": 0.977850697292863, + "grad_norm": 0.008517356589436531, + "learning_rate": 0.0022481751824817518, + "loss": 0.4866, + "step": 447 + }, + { + "epoch": 0.9800382827454197, + "grad_norm": 0.017300793901085854, + "learning_rate": 0.0022457420924574213, + "loss": 0.8304, + "step": 448 + }, + { + "epoch": 0.9822258681979765, + "grad_norm": 0.010441828519105911, + "learning_rate": 0.00224330900243309, + "loss": 0.9823, + "step": 449 + }, + { + "epoch": 0.9844134536505332, + "grad_norm": 0.013992452062666416, + "learning_rate": 0.002240875912408759, + "loss": 0.7828, + "step": 450 + }, + { + "epoch": 0.9866010391030899, + "grad_norm": 0.006943755783140659, + "learning_rate": 0.0022384428223844286, + "loss": 0.6205, + "step": 451 + }, + { + "epoch": 0.9887886245556468, + "grad_norm": 0.0063702561892569065, + "learning_rate": 0.0022360097323600972, + "loss": 1.0355, + "step": 452 + }, + { + "epoch": 0.9909762100082035, + "grad_norm": 0.007510766386985779, + "learning_rate": 0.0022335766423357663, + "loss": 0.7581, + "step": 453 + }, + { + "epoch": 0.9931637954607602, + "grad_norm": 0.010165141895413399, + "learning_rate": 0.002231143552311436, + "loss": 0.8831, + "step": 454 + }, + { + "epoch": 0.9953513809133169, + "grad_norm": 0.012972669675946236, + "learning_rate": 0.002228710462287105, + "loss": 0.6523, + "step": 455 + }, + { + "epoch": 0.9975389663658737, + "grad_norm": 0.007454239297658205, + "learning_rate": 0.0022262773722627736, + "loss": 0.8721, + "step": 456 + }, + { + "epoch": 0.9997265518184304, + "grad_norm": 0.007078221533447504, + "learning_rate": 0.0022238442822384427, + "loss": 0.6737, + "step": 457 + }, + { + "epoch": 1.0019141372709872, + "grad_norm": 0.021942665800452232, + "learning_rate": 0.002221411192214112, + "loss": 0.8231, + "step": 458 + }, + { + "epoch": 1.0041017227235438, + "grad_norm": 0.019108066335320473, + "learning_rate": 0.002218978102189781, + "loss": 0.6809, + "step": 459 + }, + { + "epoch": 1.0062893081761006, + "grad_norm": 0.013495873659849167, + "learning_rate": 0.00221654501216545, + "loss": 0.7663, + "step": 460 + }, + { + "epoch": 1.0084768936286574, + "grad_norm": 0.009844646789133549, + "learning_rate": 0.0022141119221411195, + "loss": 0.8189, + "step": 461 + }, + { + "epoch": 1.010664479081214, + "grad_norm": 0.008135687559843063, + "learning_rate": 0.002211678832116788, + "loss": 0.7935, + "step": 462 + }, + { + "epoch": 1.0128520645337709, + "grad_norm": 0.01022945623844862, + "learning_rate": 0.0022092457420924572, + "loss": 0.7855, + "step": 463 + }, + { + "epoch": 1.0150396499863277, + "grad_norm": 0.011145783588290215, + "learning_rate": 0.0022068126520681268, + "loss": 0.9334, + "step": 464 + }, + { + "epoch": 1.0172272354388843, + "grad_norm": 0.014914394356310368, + "learning_rate": 0.002204379562043796, + "loss": 0.8769, + "step": 465 + }, + { + "epoch": 1.019414820891441, + "grad_norm": 0.010317330248653889, + "learning_rate": 0.0022019464720194645, + "loss": 0.9083, + "step": 466 + }, + { + "epoch": 1.021602406343998, + "grad_norm": 0.012516210786998272, + "learning_rate": 0.002199513381995134, + "loss": 0.7169, + "step": 467 + }, + { + "epoch": 1.0237899917965545, + "grad_norm": 0.015528671443462372, + "learning_rate": 0.002197080291970803, + "loss": 0.6738, + "step": 468 + }, + { + "epoch": 1.0259775772491113, + "grad_norm": 0.007066753227263689, + "learning_rate": 0.002194647201946472, + "loss": 0.5918, + "step": 469 + }, + { + "epoch": 1.0281651627016681, + "grad_norm": 0.007939637638628483, + "learning_rate": 0.0021922141119221413, + "loss": 0.6588, + "step": 470 + }, + { + "epoch": 1.0303527481542247, + "grad_norm": 0.007144363131374121, + "learning_rate": 0.0021897810218978104, + "loss": 0.4427, + "step": 471 + }, + { + "epoch": 1.0325403336067815, + "grad_norm": 0.007886086590588093, + "learning_rate": 0.002187347931873479, + "loss": 0.7392, + "step": 472 + }, + { + "epoch": 1.0347279190593381, + "grad_norm": 0.007826312445104122, + "learning_rate": 0.0021849148418491486, + "loss": 0.743, + "step": 473 + }, + { + "epoch": 1.036915504511895, + "grad_norm": 0.007945370860397816, + "learning_rate": 0.0021824817518248177, + "loss": 0.6567, + "step": 474 + }, + { + "epoch": 1.0391030899644518, + "grad_norm": 0.009234143421053886, + "learning_rate": 0.0021800486618004863, + "loss": 0.8079, + "step": 475 + }, + { + "epoch": 1.0412906754170084, + "grad_norm": 0.011828969232738018, + "learning_rate": 0.002177615571776156, + "loss": 0.7132, + "step": 476 + }, + { + "epoch": 1.0434782608695652, + "grad_norm": 0.008681892417371273, + "learning_rate": 0.002175182481751825, + "loss": 0.8417, + "step": 477 + }, + { + "epoch": 1.045665846322122, + "grad_norm": 0.008761374279856682, + "learning_rate": 0.002172749391727494, + "loss": 0.7446, + "step": 478 + }, + { + "epoch": 1.0478534317746786, + "grad_norm": 0.014171335846185684, + "learning_rate": 0.002170316301703163, + "loss": 0.739, + "step": 479 + }, + { + "epoch": 1.0500410172272354, + "grad_norm": 0.011624401435256004, + "learning_rate": 0.0021678832116788322, + "loss": 0.8935, + "step": 480 + }, + { + "epoch": 1.0522286026797922, + "grad_norm": 0.019760416820645332, + "learning_rate": 0.0021654501216545013, + "loss": 0.9159, + "step": 481 + }, + { + "epoch": 1.0544161881323488, + "grad_norm": 0.0076353419572114944, + "learning_rate": 0.0021630170316301704, + "loss": 0.8153, + "step": 482 + }, + { + "epoch": 1.0566037735849056, + "grad_norm": 0.009698878973722458, + "learning_rate": 0.0021605839416058395, + "loss": 0.8043, + "step": 483 + }, + { + "epoch": 1.0587913590374625, + "grad_norm": 0.007674135267734528, + "learning_rate": 0.0021581508515815086, + "loss": 0.6816, + "step": 484 + }, + { + "epoch": 1.060978944490019, + "grad_norm": 0.01642732322216034, + "learning_rate": 0.0021557177615571777, + "loss": 0.9525, + "step": 485 + }, + { + "epoch": 1.0631665299425759, + "grad_norm": 0.016669275239109993, + "learning_rate": 0.002153284671532847, + "loss": 0.5482, + "step": 486 + }, + { + "epoch": 1.0653541153951327, + "grad_norm": 0.012565388344228268, + "learning_rate": 0.002150851581508516, + "loss": 0.6211, + "step": 487 + }, + { + "epoch": 1.0675417008476893, + "grad_norm": 0.01363010797649622, + "learning_rate": 0.002148418491484185, + "loss": 0.5152, + "step": 488 + }, + { + "epoch": 1.069729286300246, + "grad_norm": 0.020599598065018654, + "learning_rate": 0.002145985401459854, + "loss": 0.8035, + "step": 489 + }, + { + "epoch": 1.071916871752803, + "grad_norm": 0.013294585980474949, + "learning_rate": 0.002143552311435523, + "loss": 0.8999, + "step": 490 + }, + { + "epoch": 1.0741044572053595, + "grad_norm": 0.038667161017656326, + "learning_rate": 0.0021411192214111923, + "loss": 0.7514, + "step": 491 + }, + { + "epoch": 1.0762920426579163, + "grad_norm": 0.010547326877713203, + "learning_rate": 0.0021386861313868613, + "loss": 0.6819, + "step": 492 + }, + { + "epoch": 1.0784796281104732, + "grad_norm": 0.009484006091952324, + "learning_rate": 0.0021362530413625304, + "loss": 0.6253, + "step": 493 + }, + { + "epoch": 1.0806672135630297, + "grad_norm": 0.009657086804509163, + "learning_rate": 0.0021338199513381995, + "loss": 0.7112, + "step": 494 + }, + { + "epoch": 1.0828547990155866, + "grad_norm": 0.01714419014751911, + "learning_rate": 0.0021313868613138686, + "loss": 0.9098, + "step": 495 + }, + { + "epoch": 1.0850423844681434, + "grad_norm": 0.01343261357396841, + "learning_rate": 0.0021289537712895377, + "loss": 0.7902, + "step": 496 + }, + { + "epoch": 1.0872299699207, + "grad_norm": 0.00883649941533804, + "learning_rate": 0.002126520681265207, + "loss": 0.9971, + "step": 497 + }, + { + "epoch": 1.0894175553732568, + "grad_norm": 0.00613701157271862, + "learning_rate": 0.002124087591240876, + "loss": 0.7527, + "step": 498 + }, + { + "epoch": 1.0916051408258136, + "grad_norm": 0.009846502915024757, + "learning_rate": 0.002121654501216545, + "loss": 0.7402, + "step": 499 + }, + { + "epoch": 1.0937927262783702, + "grad_norm": 0.010731893591582775, + "learning_rate": 0.002119221411192214, + "loss": 0.7848, + "step": 500 + }, + { + "epoch": 1.095980311730927, + "grad_norm": 0.011895066127181053, + "learning_rate": 0.002116788321167883, + "loss": 0.7164, + "step": 501 + }, + { + "epoch": 1.0981678971834836, + "grad_norm": 0.007519803941249847, + "learning_rate": 0.0021143552311435523, + "loss": 0.9606, + "step": 502 + }, + { + "epoch": 1.1003554826360404, + "grad_norm": 0.009692378342151642, + "learning_rate": 0.0021119221411192214, + "loss": 0.7633, + "step": 503 + }, + { + "epoch": 1.1025430680885973, + "grad_norm": 0.011364142410457134, + "learning_rate": 0.0021094890510948905, + "loss": 0.6945, + "step": 504 + }, + { + "epoch": 1.1047306535411539, + "grad_norm": 0.007994066923856735, + "learning_rate": 0.0021070559610705595, + "loss": 0.6423, + "step": 505 + }, + { + "epoch": 1.1069182389937107, + "grad_norm": 0.02612650953233242, + "learning_rate": 0.0021046228710462286, + "loss": 0.8676, + "step": 506 + }, + { + "epoch": 1.1091058244462675, + "grad_norm": 0.007825646549463272, + "learning_rate": 0.002102189781021898, + "loss": 0.5687, + "step": 507 + }, + { + "epoch": 1.111293409898824, + "grad_norm": 0.008077848702669144, + "learning_rate": 0.002099756690997567, + "loss": 0.7509, + "step": 508 + }, + { + "epoch": 1.113480995351381, + "grad_norm": 0.009620738215744495, + "learning_rate": 0.002097323600973236, + "loss": 0.5996, + "step": 509 + }, + { + "epoch": 1.1156685808039377, + "grad_norm": 0.0255615022033453, + "learning_rate": 0.0020948905109489054, + "loss": 0.6696, + "step": 510 + }, + { + "epoch": 1.1178561662564943, + "grad_norm": 0.010550931096076965, + "learning_rate": 0.002092457420924574, + "loss": 0.7019, + "step": 511 + }, + { + "epoch": 1.1200437517090511, + "grad_norm": 0.028004566207528114, + "learning_rate": 0.002090024330900243, + "loss": 0.8809, + "step": 512 + }, + { + "epoch": 1.122231337161608, + "grad_norm": 0.013075259514153004, + "learning_rate": 0.0020875912408759127, + "loss": 0.6108, + "step": 513 + }, + { + "epoch": 1.1244189226141645, + "grad_norm": 0.015426448546350002, + "learning_rate": 0.0020851581508515814, + "loss": 0.7146, + "step": 514 + }, + { + "epoch": 1.1266065080667214, + "grad_norm": 0.007735779043287039, + "learning_rate": 0.0020827250608272505, + "loss": 0.8517, + "step": 515 + }, + { + "epoch": 1.1287940935192782, + "grad_norm": 0.012412245385348797, + "learning_rate": 0.00208029197080292, + "loss": 0.6694, + "step": 516 + }, + { + "epoch": 1.1309816789718348, + "grad_norm": 0.009669258259236813, + "learning_rate": 0.0020778588807785887, + "loss": 0.612, + "step": 517 + }, + { + "epoch": 1.1331692644243916, + "grad_norm": 0.010346516966819763, + "learning_rate": 0.0020754257907542577, + "loss": 0.7956, + "step": 518 + }, + { + "epoch": 1.1353568498769484, + "grad_norm": 0.008683484978973866, + "learning_rate": 0.0020729927007299273, + "loss": 0.7012, + "step": 519 + }, + { + "epoch": 1.137544435329505, + "grad_norm": 0.009093291126191616, + "learning_rate": 0.0020705596107055964, + "loss": 0.6406, + "step": 520 + }, + { + "epoch": 1.1397320207820618, + "grad_norm": 0.019143717363476753, + "learning_rate": 0.002068126520681265, + "loss": 0.6632, + "step": 521 + }, + { + "epoch": 1.1419196062346186, + "grad_norm": 0.008810199797153473, + "learning_rate": 0.0020656934306569345, + "loss": 0.6248, + "step": 522 + }, + { + "epoch": 1.1441071916871752, + "grad_norm": 0.009826627559959888, + "learning_rate": 0.0020632603406326036, + "loss": 0.7367, + "step": 523 + }, + { + "epoch": 1.146294777139732, + "grad_norm": 0.007178613916039467, + "learning_rate": 0.0020608272506082723, + "loss": 0.6688, + "step": 524 + }, + { + "epoch": 1.1484823625922886, + "grad_norm": 0.00853504054248333, + "learning_rate": 0.002058394160583942, + "loss": 0.6802, + "step": 525 + }, + { + "epoch": 1.1506699480448455, + "grad_norm": 0.011418921872973442, + "learning_rate": 0.002055961070559611, + "loss": 0.5832, + "step": 526 + }, + { + "epoch": 1.1528575334974023, + "grad_norm": 0.015032613649964333, + "learning_rate": 0.0020535279805352796, + "loss": 0.6841, + "step": 527 + }, + { + "epoch": 1.155045118949959, + "grad_norm": 0.008302520960569382, + "learning_rate": 0.002051094890510949, + "loss": 0.7869, + "step": 528 + }, + { + "epoch": 1.1572327044025157, + "grad_norm": 0.006403745152056217, + "learning_rate": 0.002048661800486618, + "loss": 0.7054, + "step": 529 + }, + { + "epoch": 1.1594202898550725, + "grad_norm": 0.00577664515003562, + "learning_rate": 0.0020462287104622873, + "loss": 0.8063, + "step": 530 + }, + { + "epoch": 1.161607875307629, + "grad_norm": 0.011647713370621204, + "learning_rate": 0.002043795620437956, + "loss": 0.7921, + "step": 531 + }, + { + "epoch": 1.163795460760186, + "grad_norm": 0.011479120701551437, + "learning_rate": 0.0020413625304136255, + "loss": 0.9256, + "step": 532 + }, + { + "epoch": 1.1659830462127427, + "grad_norm": 0.007622700184583664, + "learning_rate": 0.0020389294403892946, + "loss": 0.722, + "step": 533 + }, + { + "epoch": 1.1681706316652993, + "grad_norm": 0.0064216419123113155, + "learning_rate": 0.0020364963503649632, + "loss": 0.6979, + "step": 534 + }, + { + "epoch": 1.1703582171178561, + "grad_norm": 0.007917587645351887, + "learning_rate": 0.0020340632603406327, + "loss": 0.8049, + "step": 535 + }, + { + "epoch": 1.172545802570413, + "grad_norm": 0.0061738938093185425, + "learning_rate": 0.002031630170316302, + "loss": 0.7057, + "step": 536 + }, + { + "epoch": 1.1747333880229696, + "grad_norm": 0.0060928682796657085, + "learning_rate": 0.0020291970802919705, + "loss": 0.8, + "step": 537 + }, + { + "epoch": 1.1769209734755264, + "grad_norm": 0.00664818799123168, + "learning_rate": 0.00202676399026764, + "loss": 0.7944, + "step": 538 + }, + { + "epoch": 1.1791085589280832, + "grad_norm": 0.027486886829137802, + "learning_rate": 0.002024330900243309, + "loss": 0.8446, + "step": 539 + }, + { + "epoch": 1.1812961443806398, + "grad_norm": 0.01736626587808132, + "learning_rate": 0.002021897810218978, + "loss": 0.8303, + "step": 540 + }, + { + "epoch": 1.1834837298331966, + "grad_norm": 0.0084115294739604, + "learning_rate": 0.0020194647201946473, + "loss": 0.7323, + "step": 541 + }, + { + "epoch": 1.1856713152857534, + "grad_norm": 0.01464123371988535, + "learning_rate": 0.0020170316301703164, + "loss": 0.8395, + "step": 542 + }, + { + "epoch": 1.18785890073831, + "grad_norm": 0.007480619940906763, + "learning_rate": 0.0020145985401459855, + "loss": 0.7309, + "step": 543 + }, + { + "epoch": 1.1900464861908668, + "grad_norm": 0.014315255917608738, + "learning_rate": 0.0020121654501216546, + "loss": 0.6468, + "step": 544 + }, + { + "epoch": 1.1922340716434237, + "grad_norm": 0.009927434846758842, + "learning_rate": 0.0020097323600973237, + "loss": 0.7544, + "step": 545 + }, + { + "epoch": 1.1944216570959802, + "grad_norm": 0.019481701776385307, + "learning_rate": 0.0020072992700729928, + "loss": 0.8124, + "step": 546 + }, + { + "epoch": 1.196609242548537, + "grad_norm": 0.007046518847346306, + "learning_rate": 0.002004866180048662, + "loss": 0.6582, + "step": 547 + }, + { + "epoch": 1.1987968280010939, + "grad_norm": 0.012643888592720032, + "learning_rate": 0.002002433090024331, + "loss": 0.8098, + "step": 548 + }, + { + "epoch": 1.2009844134536505, + "grad_norm": 0.008585029281675816, + "learning_rate": 0.002, + "loss": 0.7206, + "step": 549 + }, + { + "epoch": 1.2031719989062073, + "grad_norm": 0.014269394800066948, + "learning_rate": 0.001997566909975669, + "loss": 0.8426, + "step": 550 + }, + { + "epoch": 1.2053595843587641, + "grad_norm": 0.006986747495830059, + "learning_rate": 0.0019951338199513382, + "loss": 0.7793, + "step": 551 + }, + { + "epoch": 1.2075471698113207, + "grad_norm": 0.014269756153225899, + "learning_rate": 0.0019927007299270073, + "loss": 0.7668, + "step": 552 + }, + { + "epoch": 1.2097347552638775, + "grad_norm": 0.009506807662546635, + "learning_rate": 0.0019902676399026764, + "loss": 0.771, + "step": 553 + }, + { + "epoch": 1.2119223407164341, + "grad_norm": 0.008203186094760895, + "learning_rate": 0.0019878345498783455, + "loss": 0.8037, + "step": 554 + }, + { + "epoch": 1.214109926168991, + "grad_norm": 0.01714324578642845, + "learning_rate": 0.0019854014598540146, + "loss": 0.66, + "step": 555 + }, + { + "epoch": 1.2162975116215478, + "grad_norm": 0.01466370839625597, + "learning_rate": 0.0019829683698296837, + "loss": 0.8761, + "step": 556 + }, + { + "epoch": 1.2184850970741046, + "grad_norm": 0.049504704773426056, + "learning_rate": 0.0019805352798053528, + "loss": 0.7717, + "step": 557 + }, + { + "epoch": 1.2206726825266612, + "grad_norm": 0.010891391895711422, + "learning_rate": 0.001978102189781022, + "loss": 0.7754, + "step": 558 + }, + { + "epoch": 1.222860267979218, + "grad_norm": 0.007297700271010399, + "learning_rate": 0.001975669099756691, + "loss": 0.882, + "step": 559 + }, + { + "epoch": 1.2250478534317746, + "grad_norm": 0.010113504715263844, + "learning_rate": 0.00197323600973236, + "loss": 0.7514, + "step": 560 + }, + { + "epoch": 1.2272354388843314, + "grad_norm": 0.0076246317476034164, + "learning_rate": 0.001970802919708029, + "loss": 0.9311, + "step": 561 + }, + { + "epoch": 1.2294230243368882, + "grad_norm": 0.010274101980030537, + "learning_rate": 0.0019683698296836987, + "loss": 0.9348, + "step": 562 + }, + { + "epoch": 1.2316106097894448, + "grad_norm": 0.007466154173016548, + "learning_rate": 0.0019659367396593673, + "loss": 0.6847, + "step": 563 + }, + { + "epoch": 1.2337981952420016, + "grad_norm": 0.012906615622341633, + "learning_rate": 0.0019635036496350364, + "loss": 0.9068, + "step": 564 + }, + { + "epoch": 1.2359857806945584, + "grad_norm": 0.008850296027958393, + "learning_rate": 0.001961070559610706, + "loss": 0.9032, + "step": 565 + }, + { + "epoch": 1.238173366147115, + "grad_norm": 0.009153778664767742, + "learning_rate": 0.0019586374695863746, + "loss": 0.7872, + "step": 566 + }, + { + "epoch": 1.2403609515996719, + "grad_norm": 0.014177209697663784, + "learning_rate": 0.0019562043795620437, + "loss": 0.7902, + "step": 567 + }, + { + "epoch": 1.2425485370522287, + "grad_norm": 0.008819716051220894, + "learning_rate": 0.001953771289537713, + "loss": 0.5116, + "step": 568 + }, + { + "epoch": 1.2447361225047853, + "grad_norm": 0.012600511312484741, + "learning_rate": 0.001951338199513382, + "loss": 0.8224, + "step": 569 + }, + { + "epoch": 1.246923707957342, + "grad_norm": 0.012330558151006699, + "learning_rate": 0.001948905109489051, + "loss": 0.6959, + "step": 570 + }, + { + "epoch": 1.249111293409899, + "grad_norm": 0.013719186186790466, + "learning_rate": 0.00194647201946472, + "loss": 0.8555, + "step": 571 + }, + { + "epoch": 1.2512988788624555, + "grad_norm": 0.019239958375692368, + "learning_rate": 0.0019440389294403894, + "loss": 0.8459, + "step": 572 + }, + { + "epoch": 1.2534864643150123, + "grad_norm": 0.00825503934174776, + "learning_rate": 0.0019416058394160585, + "loss": 0.6807, + "step": 573 + }, + { + "epoch": 1.2556740497675691, + "grad_norm": 0.00811754260212183, + "learning_rate": 0.0019391727493917273, + "loss": 0.661, + "step": 574 + }, + { + "epoch": 1.2578616352201257, + "grad_norm": 0.009656975045800209, + "learning_rate": 0.0019367396593673967, + "loss": 0.693, + "step": 575 + }, + { + "epoch": 1.2600492206726825, + "grad_norm": 0.01010841503739357, + "learning_rate": 0.0019343065693430658, + "loss": 0.7331, + "step": 576 + }, + { + "epoch": 1.2622368061252391, + "grad_norm": 0.01344444788992405, + "learning_rate": 0.0019318734793187346, + "loss": 0.89, + "step": 577 + }, + { + "epoch": 1.264424391577796, + "grad_norm": 0.009256028570234776, + "learning_rate": 0.001929440389294404, + "loss": 0.7227, + "step": 578 + }, + { + "epoch": 1.2666119770303528, + "grad_norm": 0.009699441492557526, + "learning_rate": 0.001927007299270073, + "loss": 0.6758, + "step": 579 + }, + { + "epoch": 1.2687995624829096, + "grad_norm": 0.013547690585255623, + "learning_rate": 0.001924574209245742, + "loss": 0.8159, + "step": 580 + }, + { + "epoch": 1.2709871479354662, + "grad_norm": 0.011569716967642307, + "learning_rate": 0.0019221411192214114, + "loss": 0.7126, + "step": 581 + }, + { + "epoch": 1.273174733388023, + "grad_norm": 0.009194127283990383, + "learning_rate": 0.0019197080291970803, + "loss": 0.8327, + "step": 582 + }, + { + "epoch": 1.2753623188405796, + "grad_norm": 0.01622292585670948, + "learning_rate": 0.0019172749391727494, + "loss": 0.8118, + "step": 583 + }, + { + "epoch": 1.2775499042931364, + "grad_norm": 0.016841020435094833, + "learning_rate": 0.0019148418491484187, + "loss": 0.8746, + "step": 584 + }, + { + "epoch": 1.2797374897456932, + "grad_norm": 0.011160912923514843, + "learning_rate": 0.0019124087591240876, + "loss": 0.7846, + "step": 585 + }, + { + "epoch": 1.28192507519825, + "grad_norm": 0.013098710216581821, + "learning_rate": 0.0019099756690997567, + "loss": 0.666, + "step": 586 + }, + { + "epoch": 1.2841126606508066, + "grad_norm": 0.008245709352195263, + "learning_rate": 0.001907542579075426, + "loss": 0.7799, + "step": 587 + }, + { + "epoch": 1.2863002461033635, + "grad_norm": 0.005503001157194376, + "learning_rate": 0.0019051094890510949, + "loss": 0.605, + "step": 588 + }, + { + "epoch": 1.28848783155592, + "grad_norm": 0.014160554856061935, + "learning_rate": 0.001902676399026764, + "loss": 0.7715, + "step": 589 + }, + { + "epoch": 1.2906754170084769, + "grad_norm": 0.06220156326889992, + "learning_rate": 0.0019002433090024333, + "loss": 1.0173, + "step": 590 + }, + { + "epoch": 1.2928630024610337, + "grad_norm": 0.023459481075406075, + "learning_rate": 0.0018978102189781021, + "loss": 0.7195, + "step": 591 + }, + { + "epoch": 1.2950505879135905, + "grad_norm": 0.02028430998325348, + "learning_rate": 0.0018953771289537712, + "loss": 0.8889, + "step": 592 + }, + { + "epoch": 1.297238173366147, + "grad_norm": 0.007861199788749218, + "learning_rate": 0.0018929440389294405, + "loss": 0.8249, + "step": 593 + }, + { + "epoch": 1.299425758818704, + "grad_norm": 0.008794757537543774, + "learning_rate": 0.0018905109489051096, + "loss": 0.8978, + "step": 594 + }, + { + "epoch": 1.3016133442712605, + "grad_norm": 0.027899743989109993, + "learning_rate": 0.0018880778588807785, + "loss": 0.8259, + "step": 595 + }, + { + "epoch": 1.3038009297238173, + "grad_norm": 0.006755333859473467, + "learning_rate": 0.0018856447688564478, + "loss": 0.8913, + "step": 596 + }, + { + "epoch": 1.3059885151763742, + "grad_norm": 0.016409730538725853, + "learning_rate": 0.001883211678832117, + "loss": 0.7902, + "step": 597 + }, + { + "epoch": 1.3081761006289307, + "grad_norm": 0.012431084178388119, + "learning_rate": 0.0018807785888077858, + "loss": 0.5474, + "step": 598 + }, + { + "epoch": 1.3103636860814876, + "grad_norm": 0.0099630793556571, + "learning_rate": 0.001878345498783455, + "loss": 0.7595, + "step": 599 + }, + { + "epoch": 1.3125512715340442, + "grad_norm": 0.027248527854681015, + "learning_rate": 0.0018759124087591242, + "loss": 1.0273, + "step": 600 + }, + { + "epoch": 1.314738856986601, + "grad_norm": 0.008029641583561897, + "learning_rate": 0.001873479318734793, + "loss": 0.6951, + "step": 601 + }, + { + "epoch": 1.3169264424391578, + "grad_norm": 0.011218305677175522, + "learning_rate": 0.0018710462287104626, + "loss": 0.9217, + "step": 602 + }, + { + "epoch": 1.3191140278917146, + "grad_norm": 0.024159464985132217, + "learning_rate": 0.0018686131386861315, + "loss": 0.7839, + "step": 603 + }, + { + "epoch": 1.3213016133442712, + "grad_norm": 0.01127669122070074, + "learning_rate": 0.0018661800486618006, + "loss": 0.6711, + "step": 604 + }, + { + "epoch": 1.323489198796828, + "grad_norm": 0.014322164468467236, + "learning_rate": 0.0018637469586374699, + "loss": 0.8935, + "step": 605 + }, + { + "epoch": 1.3256767842493846, + "grad_norm": 0.010018724948167801, + "learning_rate": 0.0018613138686131387, + "loss": 0.7622, + "step": 606 + }, + { + "epoch": 1.3278643697019414, + "grad_norm": 0.02816806361079216, + "learning_rate": 0.0018588807785888078, + "loss": 0.8948, + "step": 607 + }, + { + "epoch": 1.3300519551544983, + "grad_norm": 0.011105911806225777, + "learning_rate": 0.0018564476885644767, + "loss": 0.754, + "step": 608 + }, + { + "epoch": 1.332239540607055, + "grad_norm": 0.007195697631686926, + "learning_rate": 0.001854014598540146, + "loss": 0.6923, + "step": 609 + }, + { + "epoch": 1.3344271260596117, + "grad_norm": 0.010149553418159485, + "learning_rate": 0.001851581508515815, + "loss": 0.8129, + "step": 610 + }, + { + "epoch": 1.3366147115121685, + "grad_norm": 0.006798075046390295, + "learning_rate": 0.001849148418491484, + "loss": 0.5858, + "step": 611 + }, + { + "epoch": 1.338802296964725, + "grad_norm": 0.006904991343617439, + "learning_rate": 0.0018467153284671533, + "loss": 0.7058, + "step": 612 + }, + { + "epoch": 1.340989882417282, + "grad_norm": 0.019244657829403877, + "learning_rate": 0.0018442822384428224, + "loss": 0.7452, + "step": 613 + }, + { + "epoch": 1.3431774678698387, + "grad_norm": 0.10027986764907837, + "learning_rate": 0.0018418491484184915, + "loss": 0.7935, + "step": 614 + }, + { + "epoch": 1.3453650533223955, + "grad_norm": 0.028616629540920258, + "learning_rate": 0.0018394160583941608, + "loss": 0.7798, + "step": 615 + }, + { + "epoch": 1.3475526387749521, + "grad_norm": 0.02287200279533863, + "learning_rate": 0.0018369829683698297, + "loss": 0.7231, + "step": 616 + }, + { + "epoch": 1.349740224227509, + "grad_norm": 0.029162835329771042, + "learning_rate": 0.0018345498783454988, + "loss": 0.7196, + "step": 617 + }, + { + "epoch": 1.3519278096800655, + "grad_norm": 0.00748335849493742, + "learning_rate": 0.001832116788321168, + "loss": 0.6841, + "step": 618 + }, + { + "epoch": 1.3541153951326224, + "grad_norm": 0.012842601165175438, + "learning_rate": 0.001829683698296837, + "loss": 0.8114, + "step": 619 + }, + { + "epoch": 1.3563029805851792, + "grad_norm": 0.01425047405064106, + "learning_rate": 0.001827250608272506, + "loss": 0.713, + "step": 620 + }, + { + "epoch": 1.3584905660377358, + "grad_norm": 0.011411231942474842, + "learning_rate": 0.0018248175182481753, + "loss": 0.8576, + "step": 621 + }, + { + "epoch": 1.3606781514902926, + "grad_norm": 0.02541513741016388, + "learning_rate": 0.0018223844282238442, + "loss": 0.7529, + "step": 622 + }, + { + "epoch": 1.3628657369428494, + "grad_norm": 0.009776429273188114, + "learning_rate": 0.0018199513381995133, + "loss": 0.6062, + "step": 623 + }, + { + "epoch": 1.365053322395406, + "grad_norm": 0.01603938452899456, + "learning_rate": 0.0018175182481751826, + "loss": 1.3558, + "step": 624 + }, + { + "epoch": 1.3672409078479628, + "grad_norm": 0.01858574151992798, + "learning_rate": 0.0018150851581508517, + "loss": 0.7067, + "step": 625 + }, + { + "epoch": 1.3694284933005196, + "grad_norm": 0.014604609459638596, + "learning_rate": 0.0018126520681265206, + "loss": 0.65, + "step": 626 + }, + { + "epoch": 1.3716160787530762, + "grad_norm": 0.01383352093398571, + "learning_rate": 0.00181021897810219, + "loss": 0.724, + "step": 627 + }, + { + "epoch": 1.373803664205633, + "grad_norm": 0.007166001014411449, + "learning_rate": 0.001807785888077859, + "loss": 0.7063, + "step": 628 + }, + { + "epoch": 1.3759912496581896, + "grad_norm": 0.01364620216190815, + "learning_rate": 0.0018053527980535279, + "loss": 0.942, + "step": 629 + }, + { + "epoch": 1.3781788351107465, + "grad_norm": 0.013178148306906223, + "learning_rate": 0.0018029197080291972, + "loss": 0.7134, + "step": 630 + }, + { + "epoch": 1.3803664205633033, + "grad_norm": 0.016469091176986694, + "learning_rate": 0.0018004866180048663, + "loss": 0.8652, + "step": 631 + }, + { + "epoch": 1.38255400601586, + "grad_norm": 0.008818808011710644, + "learning_rate": 0.0017980535279805351, + "loss": 0.7157, + "step": 632 + }, + { + "epoch": 1.3847415914684167, + "grad_norm": 0.006165484432131052, + "learning_rate": 0.0017956204379562047, + "loss": 0.8267, + "step": 633 + }, + { + "epoch": 1.3869291769209735, + "grad_norm": 0.017317302525043488, + "learning_rate": 0.0017931873479318735, + "loss": 0.7661, + "step": 634 + }, + { + "epoch": 1.38911676237353, + "grad_norm": 0.01045684702694416, + "learning_rate": 0.0017907542579075426, + "loss": 0.797, + "step": 635 + }, + { + "epoch": 1.391304347826087, + "grad_norm": 0.004696684889495373, + "learning_rate": 0.001788321167883212, + "loss": 0.793, + "step": 636 + }, + { + "epoch": 1.3934919332786437, + "grad_norm": 0.01570739410817623, + "learning_rate": 0.0017858880778588808, + "loss": 0.9052, + "step": 637 + }, + { + "epoch": 1.3956795187312006, + "grad_norm": 0.006558465771377087, + "learning_rate": 0.00178345498783455, + "loss": 0.7475, + "step": 638 + }, + { + "epoch": 1.3978671041837571, + "grad_norm": 0.008167284540832043, + "learning_rate": 0.0017810218978102192, + "loss": 0.7801, + "step": 639 + }, + { + "epoch": 1.400054689636314, + "grad_norm": 0.007898733019828796, + "learning_rate": 0.001778588807785888, + "loss": 0.7694, + "step": 640 + }, + { + "epoch": 1.4022422750888706, + "grad_norm": 0.011702708899974823, + "learning_rate": 0.0017761557177615572, + "loss": 0.7104, + "step": 641 + }, + { + "epoch": 1.4044298605414274, + "grad_norm": 0.01823602244257927, + "learning_rate": 0.0017737226277372265, + "loss": 0.837, + "step": 642 + }, + { + "epoch": 1.4066174459939842, + "grad_norm": 0.019088082015514374, + "learning_rate": 0.0017712895377128954, + "loss": 0.8105, + "step": 643 + }, + { + "epoch": 1.408805031446541, + "grad_norm": 0.008738362230360508, + "learning_rate": 0.0017688564476885645, + "loss": 0.9423, + "step": 644 + }, + { + "epoch": 1.4109926168990976, + "grad_norm": 0.010799618437886238, + "learning_rate": 0.0017664233576642336, + "loss": 0.7173, + "step": 645 + }, + { + "epoch": 1.4131802023516544, + "grad_norm": 0.007114489562809467, + "learning_rate": 0.0017639902676399029, + "loss": 0.7322, + "step": 646 + }, + { + "epoch": 1.415367787804211, + "grad_norm": 0.021334782242774963, + "learning_rate": 0.0017615571776155717, + "loss": 0.7808, + "step": 647 + }, + { + "epoch": 1.4175553732567678, + "grad_norm": 0.06464671343564987, + "learning_rate": 0.0017591240875912408, + "loss": 0.8948, + "step": 648 + }, + { + "epoch": 1.4197429587093247, + "grad_norm": 0.016822345554828644, + "learning_rate": 0.0017566909975669101, + "loss": 0.7481, + "step": 649 + }, + { + "epoch": 1.4219305441618812, + "grad_norm": 0.01005722675472498, + "learning_rate": 0.001754257907542579, + "loss": 0.8027, + "step": 650 + }, + { + "epoch": 1.424118129614438, + "grad_norm": 0.01469690166413784, + "learning_rate": 0.0017518248175182481, + "loss": 0.7487, + "step": 651 + }, + { + "epoch": 1.4263057150669949, + "grad_norm": 0.013352830894291401, + "learning_rate": 0.0017493917274939174, + "loss": 0.9439, + "step": 652 + }, + { + "epoch": 1.4284933005195515, + "grad_norm": 0.01574932225048542, + "learning_rate": 0.0017469586374695863, + "loss": 0.7926, + "step": 653 + }, + { + "epoch": 1.4306808859721083, + "grad_norm": 0.012712597846984863, + "learning_rate": 0.0017445255474452554, + "loss": 0.8369, + "step": 654 + }, + { + "epoch": 1.4328684714246651, + "grad_norm": 0.018248263746500015, + "learning_rate": 0.0017420924574209247, + "loss": 0.6585, + "step": 655 + }, + { + "epoch": 1.4350560568772217, + "grad_norm": 0.0181551706045866, + "learning_rate": 0.0017396593673965938, + "loss": 0.8487, + "step": 656 + }, + { + "epoch": 1.4372436423297785, + "grad_norm": 0.009059487842023373, + "learning_rate": 0.0017372262773722627, + "loss": 0.8897, + "step": 657 + }, + { + "epoch": 1.4394312277823351, + "grad_norm": 0.007483980618417263, + "learning_rate": 0.001734793187347932, + "loss": 0.6673, + "step": 658 + }, + { + "epoch": 1.441618813234892, + "grad_norm": 0.007589507382363081, + "learning_rate": 0.001732360097323601, + "loss": 0.7013, + "step": 659 + }, + { + "epoch": 1.4438063986874488, + "grad_norm": 0.011493782512843609, + "learning_rate": 0.00172992700729927, + "loss": 0.5457, + "step": 660 + }, + { + "epoch": 1.4459939841400056, + "grad_norm": 0.027656735852360725, + "learning_rate": 0.0017274939172749392, + "loss": 0.7251, + "step": 661 + }, + { + "epoch": 1.4481815695925622, + "grad_norm": 0.022569406777620316, + "learning_rate": 0.0017250608272506083, + "loss": 0.7104, + "step": 662 + }, + { + "epoch": 1.450369155045119, + "grad_norm": 0.028735000640153885, + "learning_rate": 0.0017226277372262772, + "loss": 0.8682, + "step": 663 + }, + { + "epoch": 1.4525567404976756, + "grad_norm": 0.012052370235323906, + "learning_rate": 0.0017201946472019465, + "loss": 0.7508, + "step": 664 + }, + { + "epoch": 1.4547443259502324, + "grad_norm": 0.008707467466592789, + "learning_rate": 0.0017177615571776156, + "loss": 0.83, + "step": 665 + }, + { + "epoch": 1.4569319114027892, + "grad_norm": 0.01061397884041071, + "learning_rate": 0.0017153284671532847, + "loss": 0.9431, + "step": 666 + }, + { + "epoch": 1.459119496855346, + "grad_norm": 0.011903772130608559, + "learning_rate": 0.001712895377128954, + "loss": 0.723, + "step": 667 + }, + { + "epoch": 1.4613070823079026, + "grad_norm": 0.03922785073518753, + "learning_rate": 0.001710462287104623, + "loss": 0.6581, + "step": 668 + }, + { + "epoch": 1.4634946677604594, + "grad_norm": 0.014414667151868343, + "learning_rate": 0.001708029197080292, + "loss": 0.8511, + "step": 669 + }, + { + "epoch": 1.465682253213016, + "grad_norm": 0.010338617488741875, + "learning_rate": 0.0017055961070559613, + "loss": 0.7162, + "step": 670 + }, + { + "epoch": 1.4678698386655729, + "grad_norm": 0.011176107451319695, + "learning_rate": 0.0017031630170316302, + "loss": 0.8674, + "step": 671 + }, + { + "epoch": 1.4700574241181297, + "grad_norm": 0.014365148730576038, + "learning_rate": 0.0017007299270072993, + "loss": 0.7739, + "step": 672 + }, + { + "epoch": 1.4722450095706865, + "grad_norm": 0.019749363884329796, + "learning_rate": 0.0016982968369829686, + "loss": 0.7571, + "step": 673 + }, + { + "epoch": 1.474432595023243, + "grad_norm": 0.011761876754462719, + "learning_rate": 0.0016958637469586374, + "loss": 0.7208, + "step": 674 + }, + { + "epoch": 1.4766201804758, + "grad_norm": 0.025715123862028122, + "learning_rate": 0.0016934306569343065, + "loss": 0.7554, + "step": 675 + }, + { + "epoch": 1.4788077659283565, + "grad_norm": 0.028069710358977318, + "learning_rate": 0.0016909975669099759, + "loss": 0.6652, + "step": 676 + }, + { + "epoch": 1.4809953513809133, + "grad_norm": 0.02627987042069435, + "learning_rate": 0.001688564476885645, + "loss": 0.7924, + "step": 677 + }, + { + "epoch": 1.4831829368334701, + "grad_norm": 0.005099075846374035, + "learning_rate": 0.0016861313868613138, + "loss": 0.75, + "step": 678 + }, + { + "epoch": 1.4853705222860267, + "grad_norm": 0.007156622130423784, + "learning_rate": 0.0016836982968369831, + "loss": 0.8034, + "step": 679 + }, + { + "epoch": 1.4875581077385835, + "grad_norm": 0.008162274025380611, + "learning_rate": 0.0016812652068126522, + "loss": 0.6174, + "step": 680 + }, + { + "epoch": 1.4897456931911401, + "grad_norm": 0.01390012539923191, + "learning_rate": 0.001678832116788321, + "loss": 0.7813, + "step": 681 + }, + { + "epoch": 1.491933278643697, + "grad_norm": 0.03663848340511322, + "learning_rate": 0.0016763990267639902, + "loss": 0.6028, + "step": 682 + }, + { + "epoch": 1.4941208640962538, + "grad_norm": 0.01389587577432394, + "learning_rate": 0.0016739659367396595, + "loss": 0.9186, + "step": 683 + }, + { + "epoch": 1.4963084495488106, + "grad_norm": 0.007214284967631102, + "learning_rate": 0.0016715328467153284, + "loss": 1.0112, + "step": 684 + }, + { + "epoch": 1.4984960350013672, + "grad_norm": 0.01086746621876955, + "learning_rate": 0.0016690997566909975, + "loss": 0.7628, + "step": 685 + }, + { + "epoch": 1.500683620453924, + "grad_norm": 0.006750196684151888, + "learning_rate": 0.0016666666666666668, + "loss": 0.8025, + "step": 686 + }, + { + "epoch": 1.5028712059064806, + "grad_norm": 0.012172271497547626, + "learning_rate": 0.0016642335766423359, + "loss": 0.7559, + "step": 687 + }, + { + "epoch": 1.5050587913590374, + "grad_norm": 0.03923722356557846, + "learning_rate": 0.0016618004866180047, + "loss": 0.8227, + "step": 688 + }, + { + "epoch": 1.5072463768115942, + "grad_norm": 0.020949123427271843, + "learning_rate": 0.001659367396593674, + "loss": 0.7272, + "step": 689 + }, + { + "epoch": 1.509433962264151, + "grad_norm": 0.012365633621811867, + "learning_rate": 0.0016569343065693431, + "loss": 0.9127, + "step": 690 + }, + { + "epoch": 1.5116215477167076, + "grad_norm": 0.012725708074867725, + "learning_rate": 0.001654501216545012, + "loss": 0.7576, + "step": 691 + }, + { + "epoch": 1.5138091331692645, + "grad_norm": 0.014691759832203388, + "learning_rate": 0.0016520681265206813, + "loss": 0.6951, + "step": 692 + }, + { + "epoch": 1.515996718621821, + "grad_norm": 0.009719770401716232, + "learning_rate": 0.0016496350364963504, + "loss": 0.6947, + "step": 693 + }, + { + "epoch": 1.5181843040743779, + "grad_norm": 0.0074682896956801414, + "learning_rate": 0.0016472019464720193, + "loss": 0.8467, + "step": 694 + }, + { + "epoch": 1.5203718895269347, + "grad_norm": 0.011303418315947056, + "learning_rate": 0.0016447688564476886, + "loss": 0.7453, + "step": 695 + }, + { + "epoch": 1.5225594749794915, + "grad_norm": 0.009616104885935783, + "learning_rate": 0.0016423357664233577, + "loss": 0.8284, + "step": 696 + }, + { + "epoch": 1.524747060432048, + "grad_norm": 0.004562855698168278, + "learning_rate": 0.0016399026763990268, + "loss": 0.776, + "step": 697 + }, + { + "epoch": 1.5269346458846047, + "grad_norm": 0.0057913740165531635, + "learning_rate": 0.001637469586374696, + "loss": 0.5635, + "step": 698 + }, + { + "epoch": 1.5291222313371615, + "grad_norm": 0.011465840972959995, + "learning_rate": 0.001635036496350365, + "loss": 0.7466, + "step": 699 + }, + { + "epoch": 1.5313098167897183, + "grad_norm": 0.009356693364679813, + "learning_rate": 0.001632603406326034, + "loss": 0.7555, + "step": 700 + }, + { + "epoch": 1.5334974022422752, + "grad_norm": 0.01132314745336771, + "learning_rate": 0.0016301703163017034, + "loss": 0.6987, + "step": 701 + }, + { + "epoch": 1.535684987694832, + "grad_norm": 0.011162355542182922, + "learning_rate": 0.0016277372262773723, + "loss": 0.7895, + "step": 702 + }, + { + "epoch": 1.5378725731473886, + "grad_norm": 0.008752882480621338, + "learning_rate": 0.0016253041362530413, + "loss": 0.7829, + "step": 703 + }, + { + "epoch": 1.5400601585999452, + "grad_norm": 0.0067902375012636185, + "learning_rate": 0.0016228710462287107, + "loss": 0.7541, + "step": 704 + }, + { + "epoch": 1.542247744052502, + "grad_norm": 0.010398069396615028, + "learning_rate": 0.0016204379562043795, + "loss": 0.84, + "step": 705 + }, + { + "epoch": 1.5444353295050588, + "grad_norm": 0.006489087361842394, + "learning_rate": 0.0016180048661800486, + "loss": 0.7745, + "step": 706 + }, + { + "epoch": 1.5466229149576156, + "grad_norm": 0.00789352972060442, + "learning_rate": 0.001615571776155718, + "loss": 0.7006, + "step": 707 + }, + { + "epoch": 1.5488105004101724, + "grad_norm": 0.005906807258725166, + "learning_rate": 0.001613138686131387, + "loss": 0.826, + "step": 708 + }, + { + "epoch": 1.550998085862729, + "grad_norm": 0.006026630289852619, + "learning_rate": 0.001610705596107056, + "loss": 0.6783, + "step": 709 + }, + { + "epoch": 1.5531856713152856, + "grad_norm": 0.010388746857643127, + "learning_rate": 0.0016082725060827252, + "loss": 0.8531, + "step": 710 + }, + { + "epoch": 1.5553732567678424, + "grad_norm": 0.01053705345839262, + "learning_rate": 0.0016058394160583943, + "loss": 0.7257, + "step": 711 + }, + { + "epoch": 1.5575608422203993, + "grad_norm": 0.006276300642639399, + "learning_rate": 0.0016034063260340632, + "loss": 0.7996, + "step": 712 + }, + { + "epoch": 1.559748427672956, + "grad_norm": 0.006276302970945835, + "learning_rate": 0.0016009732360097325, + "loss": 0.8443, + "step": 713 + }, + { + "epoch": 1.5619360131255127, + "grad_norm": 0.008509790524840355, + "learning_rate": 0.0015985401459854016, + "loss": 0.7289, + "step": 714 + }, + { + "epoch": 1.5641235985780695, + "grad_norm": 0.01978105679154396, + "learning_rate": 0.0015961070559610705, + "loss": 0.846, + "step": 715 + }, + { + "epoch": 1.566311184030626, + "grad_norm": 0.012076129205524921, + "learning_rate": 0.0015936739659367398, + "loss": 0.7292, + "step": 716 + }, + { + "epoch": 1.568498769483183, + "grad_norm": 0.01716456562280655, + "learning_rate": 0.0015912408759124089, + "loss": 0.7655, + "step": 717 + }, + { + "epoch": 1.5706863549357397, + "grad_norm": 0.016601664945483208, + "learning_rate": 0.001588807785888078, + "loss": 0.7277, + "step": 718 + }, + { + "epoch": 1.5728739403882965, + "grad_norm": 0.010958652012050152, + "learning_rate": 0.0015863746958637468, + "loss": 0.7392, + "step": 719 + }, + { + "epoch": 1.5750615258408531, + "grad_norm": 0.007287964224815369, + "learning_rate": 0.0015839416058394161, + "loss": 0.822, + "step": 720 + }, + { + "epoch": 1.57724911129341, + "grad_norm": 0.010577067732810974, + "learning_rate": 0.0015815085158150852, + "loss": 0.732, + "step": 721 + }, + { + "epoch": 1.5794366967459665, + "grad_norm": 0.007742591667920351, + "learning_rate": 0.001579075425790754, + "loss": 0.8312, + "step": 722 + }, + { + "epoch": 1.5816242821985234, + "grad_norm": 0.009659879840910435, + "learning_rate": 0.0015766423357664234, + "loss": 0.8213, + "step": 723 + }, + { + "epoch": 1.5838118676510802, + "grad_norm": 0.015149835497140884, + "learning_rate": 0.0015742092457420925, + "loss": 0.6992, + "step": 724 + }, + { + "epoch": 1.585999453103637, + "grad_norm": 0.007888193242251873, + "learning_rate": 0.0015717761557177614, + "loss": 0.8853, + "step": 725 + }, + { + "epoch": 1.5881870385561936, + "grad_norm": 0.011876450851559639, + "learning_rate": 0.0015693430656934307, + "loss": 0.7645, + "step": 726 + }, + { + "epoch": 1.5903746240087502, + "grad_norm": 0.015837261453270912, + "learning_rate": 0.0015669099756690998, + "loss": 0.8061, + "step": 727 + }, + { + "epoch": 1.592562209461307, + "grad_norm": 0.006944081746041775, + "learning_rate": 0.0015644768856447687, + "loss": 0.6043, + "step": 728 + }, + { + "epoch": 1.5947497949138638, + "grad_norm": 0.01456182450056076, + "learning_rate": 0.0015620437956204382, + "loss": 0.9343, + "step": 729 + }, + { + "epoch": 1.5969373803664206, + "grad_norm": 0.007655070163309574, + "learning_rate": 0.001559610705596107, + "loss": 0.727, + "step": 730 + }, + { + "epoch": 1.5991249658189775, + "grad_norm": 0.014365557581186295, + "learning_rate": 0.0015571776155717761, + "loss": 0.6884, + "step": 731 + }, + { + "epoch": 1.601312551271534, + "grad_norm": 0.013196627609431744, + "learning_rate": 0.0015547445255474455, + "loss": 0.6522, + "step": 732 + }, + { + "epoch": 1.6035001367240906, + "grad_norm": 0.0069740209728479385, + "learning_rate": 0.0015523114355231143, + "loss": 0.812, + "step": 733 + }, + { + "epoch": 1.6056877221766475, + "grad_norm": 0.018947165459394455, + "learning_rate": 0.0015498783454987834, + "loss": 0.7464, + "step": 734 + }, + { + "epoch": 1.6078753076292043, + "grad_norm": 0.02975570783019066, + "learning_rate": 0.0015474452554744527, + "loss": 1.0338, + "step": 735 + }, + { + "epoch": 1.610062893081761, + "grad_norm": 0.01144670695066452, + "learning_rate": 0.0015450121654501216, + "loss": 0.9582, + "step": 736 + }, + { + "epoch": 1.612250478534318, + "grad_norm": 0.08359838277101517, + "learning_rate": 0.0015425790754257907, + "loss": 0.6188, + "step": 737 + }, + { + "epoch": 1.6144380639868745, + "grad_norm": 0.005582269746810198, + "learning_rate": 0.00154014598540146, + "loss": 0.6557, + "step": 738 + }, + { + "epoch": 1.616625649439431, + "grad_norm": 0.008966202847659588, + "learning_rate": 0.001537712895377129, + "loss": 0.6564, + "step": 739 + }, + { + "epoch": 1.618813234891988, + "grad_norm": 0.011794374324381351, + "learning_rate": 0.001535279805352798, + "loss": 0.8051, + "step": 740 + }, + { + "epoch": 1.6210008203445447, + "grad_norm": 0.00766439875587821, + "learning_rate": 0.0015328467153284673, + "loss": 0.8145, + "step": 741 + }, + { + "epoch": 1.6231884057971016, + "grad_norm": 0.014379739761352539, + "learning_rate": 0.0015304136253041364, + "loss": 0.8658, + "step": 742 + }, + { + "epoch": 1.6253759912496581, + "grad_norm": 0.01025471929460764, + "learning_rate": 0.0015279805352798053, + "loss": 0.6969, + "step": 743 + }, + { + "epoch": 1.627563576702215, + "grad_norm": 0.012737879529595375, + "learning_rate": 0.0015255474452554746, + "loss": 0.9006, + "step": 744 + }, + { + "epoch": 1.6297511621547716, + "grad_norm": 0.0110158147290349, + "learning_rate": 0.0015231143552311437, + "loss": 0.7326, + "step": 745 + }, + { + "epoch": 1.6319387476073284, + "grad_norm": 0.011220619082450867, + "learning_rate": 0.0015206812652068125, + "loss": 0.8275, + "step": 746 + }, + { + "epoch": 1.6341263330598852, + "grad_norm": 0.00941223930567503, + "learning_rate": 0.0015182481751824818, + "loss": 0.8187, + "step": 747 + }, + { + "epoch": 1.636313918512442, + "grad_norm": 0.004144694656133652, + "learning_rate": 0.001515815085158151, + "loss": 0.7248, + "step": 748 + }, + { + "epoch": 1.6385015039649986, + "grad_norm": 0.013639383018016815, + "learning_rate": 0.0015133819951338198, + "loss": 0.7966, + "step": 749 + }, + { + "epoch": 1.6406890894175554, + "grad_norm": 0.006385320797562599, + "learning_rate": 0.0015109489051094893, + "loss": 0.6772, + "step": 750 + }, + { + "epoch": 1.642876674870112, + "grad_norm": 0.011585132218897343, + "learning_rate": 0.0015085158150851582, + "loss": 0.6696, + "step": 751 + }, + { + "epoch": 1.6450642603226688, + "grad_norm": 0.023672277107834816, + "learning_rate": 0.0015060827250608273, + "loss": 0.6978, + "step": 752 + }, + { + "epoch": 1.6472518457752257, + "grad_norm": 0.014683379791676998, + "learning_rate": 0.0015036496350364966, + "loss": 0.5735, + "step": 753 + }, + { + "epoch": 1.6494394312277825, + "grad_norm": 0.010881925001740456, + "learning_rate": 0.0015012165450121655, + "loss": 0.6773, + "step": 754 + }, + { + "epoch": 1.651627016680339, + "grad_norm": 0.009006233885884285, + "learning_rate": 0.0014987834549878346, + "loss": 0.7773, + "step": 755 + }, + { + "epoch": 1.6538146021328957, + "grad_norm": 0.01426916103810072, + "learning_rate": 0.0014963503649635037, + "loss": 0.7436, + "step": 756 + }, + { + "epoch": 1.6560021875854525, + "grad_norm": 0.005649265833199024, + "learning_rate": 0.0014939172749391728, + "loss": 0.7041, + "step": 757 + }, + { + "epoch": 1.6581897730380093, + "grad_norm": 0.008767529390752316, + "learning_rate": 0.0014914841849148419, + "loss": 0.6701, + "step": 758 + }, + { + "epoch": 1.6603773584905661, + "grad_norm": 0.007580756675451994, + "learning_rate": 0.001489051094890511, + "loss": 0.6593, + "step": 759 + }, + { + "epoch": 1.662564943943123, + "grad_norm": 0.010842681862413883, + "learning_rate": 0.0014866180048661803, + "loss": 0.9414, + "step": 760 + }, + { + "epoch": 1.6647525293956795, + "grad_norm": 0.008890979923307896, + "learning_rate": 0.0014841849148418491, + "loss": 0.8333, + "step": 761 + }, + { + "epoch": 1.6669401148482361, + "grad_norm": 0.00815370213240385, + "learning_rate": 0.0014817518248175182, + "loss": 0.8596, + "step": 762 + }, + { + "epoch": 1.669127700300793, + "grad_norm": 0.007434117142111063, + "learning_rate": 0.0014793187347931875, + "loss": 0.631, + "step": 763 + }, + { + "epoch": 1.6713152857533498, + "grad_norm": 0.007965626195073128, + "learning_rate": 0.0014768856447688564, + "loss": 0.7377, + "step": 764 + }, + { + "epoch": 1.6735028712059066, + "grad_norm": 0.014369670301675797, + "learning_rate": 0.0014744525547445257, + "loss": 0.6907, + "step": 765 + }, + { + "epoch": 1.6756904566584632, + "grad_norm": 0.013002739287912846, + "learning_rate": 0.0014720194647201946, + "loss": 0.8491, + "step": 766 + }, + { + "epoch": 1.67787804211102, + "grad_norm": 0.008742110803723335, + "learning_rate": 0.0014695863746958637, + "loss": 1.0319, + "step": 767 + }, + { + "epoch": 1.6800656275635766, + "grad_norm": 0.01362073328346014, + "learning_rate": 0.001467153284671533, + "loss": 0.596, + "step": 768 + }, + { + "epoch": 1.6822532130161334, + "grad_norm": 0.007842877879738808, + "learning_rate": 0.0014647201946472019, + "loss": 0.848, + "step": 769 + }, + { + "epoch": 1.6844407984686902, + "grad_norm": 0.007685767021030188, + "learning_rate": 0.001462287104622871, + "loss": 0.6811, + "step": 770 + }, + { + "epoch": 1.686628383921247, + "grad_norm": 0.07299596816301346, + "learning_rate": 0.0014598540145985403, + "loss": 0.7739, + "step": 771 + }, + { + "epoch": 1.6888159693738036, + "grad_norm": 0.02475287765264511, + "learning_rate": 0.0014574209245742091, + "loss": 0.8412, + "step": 772 + }, + { + "epoch": 1.6910035548263604, + "grad_norm": 0.02310485951602459, + "learning_rate": 0.0014549878345498785, + "loss": 0.7707, + "step": 773 + }, + { + "epoch": 1.693191140278917, + "grad_norm": 0.006614830810576677, + "learning_rate": 0.0014525547445255475, + "loss": 0.9116, + "step": 774 + }, + { + "epoch": 1.6953787257314739, + "grad_norm": 0.017114151269197464, + "learning_rate": 0.0014501216545012164, + "loss": 0.7767, + "step": 775 + }, + { + "epoch": 1.6975663111840307, + "grad_norm": 0.007972135208547115, + "learning_rate": 0.0014476885644768857, + "loss": 0.8053, + "step": 776 + }, + { + "epoch": 1.6997538966365875, + "grad_norm": 0.013452711515128613, + "learning_rate": 0.0014452554744525548, + "loss": 0.633, + "step": 777 + }, + { + "epoch": 1.701941482089144, + "grad_norm": 0.01562053058296442, + "learning_rate": 0.001442822384428224, + "loss": 0.8312, + "step": 778 + }, + { + "epoch": 1.7041290675417007, + "grad_norm": 0.006510770879685879, + "learning_rate": 0.001440389294403893, + "loss": 0.7721, + "step": 779 + }, + { + "epoch": 1.7063166529942575, + "grad_norm": 0.011892448179423809, + "learning_rate": 0.001437956204379562, + "loss": 0.6629, + "step": 780 + }, + { + "epoch": 1.7085042384468143, + "grad_norm": 0.005237538833171129, + "learning_rate": 0.0014355231143552312, + "loss": 0.5767, + "step": 781 + }, + { + "epoch": 1.7106918238993711, + "grad_norm": 0.020627424120903015, + "learning_rate": 0.0014330900243309003, + "loss": 0.8974, + "step": 782 + }, + { + "epoch": 1.712879409351928, + "grad_norm": 0.012742357328534126, + "learning_rate": 0.0014306569343065694, + "loss": 0.5843, + "step": 783 + }, + { + "epoch": 1.7150669948044845, + "grad_norm": 0.011114447377622128, + "learning_rate": 0.0014282238442822385, + "loss": 0.9336, + "step": 784 + }, + { + "epoch": 1.7172545802570411, + "grad_norm": 0.01212508138269186, + "learning_rate": 0.0014257907542579076, + "loss": 0.853, + "step": 785 + }, + { + "epoch": 1.719442165709598, + "grad_norm": 0.006842518225312233, + "learning_rate": 0.0014233576642335767, + "loss": 0.8329, + "step": 786 + }, + { + "epoch": 1.7216297511621548, + "grad_norm": 0.008684076368808746, + "learning_rate": 0.0014209245742092457, + "loss": 0.8503, + "step": 787 + }, + { + "epoch": 1.7238173366147116, + "grad_norm": 0.009845465421676636, + "learning_rate": 0.0014184914841849148, + "loss": 0.9911, + "step": 788 + }, + { + "epoch": 1.7260049220672684, + "grad_norm": 0.007301978301256895, + "learning_rate": 0.001416058394160584, + "loss": 0.6684, + "step": 789 + }, + { + "epoch": 1.728192507519825, + "grad_norm": 0.010263817384839058, + "learning_rate": 0.001413625304136253, + "loss": 0.6852, + "step": 790 + }, + { + "epoch": 1.7303800929723816, + "grad_norm": 0.012078475207090378, + "learning_rate": 0.0014111922141119221, + "loss": 0.6509, + "step": 791 + }, + { + "epoch": 1.7325676784249384, + "grad_norm": 0.012108572758734226, + "learning_rate": 0.0014087591240875912, + "loss": 0.7183, + "step": 792 + }, + { + "epoch": 1.7347552638774952, + "grad_norm": 0.011477826163172722, + "learning_rate": 0.0014063260340632603, + "loss": 0.8856, + "step": 793 + }, + { + "epoch": 1.736942849330052, + "grad_norm": 0.007066864520311356, + "learning_rate": 0.0014038929440389296, + "loss": 0.6114, + "step": 794 + }, + { + "epoch": 1.7391304347826086, + "grad_norm": 0.011538154445588589, + "learning_rate": 0.0014014598540145985, + "loss": 0.6716, + "step": 795 + }, + { + "epoch": 1.7413180202351655, + "grad_norm": 0.008611057884991169, + "learning_rate": 0.0013990267639902676, + "loss": 0.9979, + "step": 796 + }, + { + "epoch": 1.743505605687722, + "grad_norm": 0.013740317896008492, + "learning_rate": 0.0013965936739659369, + "loss": 0.8166, + "step": 797 + }, + { + "epoch": 1.7456931911402789, + "grad_norm": 0.008636080659925938, + "learning_rate": 0.0013941605839416058, + "loss": 0.8138, + "step": 798 + }, + { + "epoch": 1.7478807765928357, + "grad_norm": 0.008637238293886185, + "learning_rate": 0.001391727493917275, + "loss": 0.9225, + "step": 799 + }, + { + "epoch": 1.7500683620453925, + "grad_norm": 0.022517461329698563, + "learning_rate": 0.0013892944038929442, + "loss": 0.735, + "step": 800 + }, + { + "epoch": 1.752255947497949, + "grad_norm": 0.005302282981574535, + "learning_rate": 0.001386861313868613, + "loss": 0.657, + "step": 801 + }, + { + "epoch": 1.754443532950506, + "grad_norm": 0.04943990707397461, + "learning_rate": 0.0013844282238442824, + "loss": 0.623, + "step": 802 + }, + { + "epoch": 1.7566311184030625, + "grad_norm": 0.011758695356547832, + "learning_rate": 0.0013819951338199512, + "loss": 0.8038, + "step": 803 + }, + { + "epoch": 1.7588187038556193, + "grad_norm": 0.009712104685604572, + "learning_rate": 0.0013795620437956205, + "loss": 0.7268, + "step": 804 + }, + { + "epoch": 1.7610062893081762, + "grad_norm": 0.007741864304989576, + "learning_rate": 0.0013771289537712896, + "loss": 0.7049, + "step": 805 + }, + { + "epoch": 1.763193874760733, + "grad_norm": 0.010713865980505943, + "learning_rate": 0.0013746958637469585, + "loss": 0.6425, + "step": 806 + }, + { + "epoch": 1.7653814602132896, + "grad_norm": 0.006576141808182001, + "learning_rate": 0.0013722627737226278, + "loss": 0.7601, + "step": 807 + }, + { + "epoch": 1.7675690456658462, + "grad_norm": 0.007796050515025854, + "learning_rate": 0.001369829683698297, + "loss": 0.659, + "step": 808 + }, + { + "epoch": 1.769756631118403, + "grad_norm": 0.01460753008723259, + "learning_rate": 0.001367396593673966, + "loss": 0.769, + "step": 809 + }, + { + "epoch": 1.7719442165709598, + "grad_norm": 0.010747969150543213, + "learning_rate": 0.001364963503649635, + "loss": 0.8531, + "step": 810 + }, + { + "epoch": 1.7741318020235166, + "grad_norm": 0.011500733904540539, + "learning_rate": 0.0013625304136253042, + "loss": 0.7294, + "step": 811 + }, + { + "epoch": 1.7763193874760734, + "grad_norm": 0.013433235697448254, + "learning_rate": 0.0013600973236009733, + "loss": 0.6442, + "step": 812 + }, + { + "epoch": 1.77850697292863, + "grad_norm": 0.019317343831062317, + "learning_rate": 0.0013576642335766424, + "loss": 0.6254, + "step": 813 + }, + { + "epoch": 1.7806945583811866, + "grad_norm": 0.020062780007719994, + "learning_rate": 0.0013552311435523115, + "loss": 0.6957, + "step": 814 + }, + { + "epoch": 1.7828821438337434, + "grad_norm": 0.00756926229223609, + "learning_rate": 0.0013527980535279806, + "loss": 0.7532, + "step": 815 + }, + { + "epoch": 1.7850697292863003, + "grad_norm": 0.0089380769059062, + "learning_rate": 0.0013503649635036496, + "loss": 0.6534, + "step": 816 + }, + { + "epoch": 1.787257314738857, + "grad_norm": 0.006980338133871555, + "learning_rate": 0.0013479318734793187, + "loss": 0.7314, + "step": 817 + }, + { + "epoch": 1.789444900191414, + "grad_norm": 0.0074529629200696945, + "learning_rate": 0.0013454987834549878, + "loss": 0.8291, + "step": 818 + }, + { + "epoch": 1.7916324856439705, + "grad_norm": 0.02699979580938816, + "learning_rate": 0.001343065693430657, + "loss": 0.7249, + "step": 819 + }, + { + "epoch": 1.793820071096527, + "grad_norm": 0.008204830810427666, + "learning_rate": 0.001340632603406326, + "loss": 0.7446, + "step": 820 + }, + { + "epoch": 1.796007656549084, + "grad_norm": 0.006959575694054365, + "learning_rate": 0.001338199513381995, + "loss": 0.6694, + "step": 821 + }, + { + "epoch": 1.7981952420016407, + "grad_norm": 0.006019539665430784, + "learning_rate": 0.0013357664233576642, + "loss": 0.7947, + "step": 822 + }, + { + "epoch": 1.8003828274541975, + "grad_norm": 0.007515772711485624, + "learning_rate": 0.0013333333333333333, + "loss": 0.6259, + "step": 823 + }, + { + "epoch": 1.8025704129067541, + "grad_norm": 0.0231679268181324, + "learning_rate": 0.0013309002433090024, + "loss": 0.5702, + "step": 824 + }, + { + "epoch": 1.804757998359311, + "grad_norm": 0.009831500239670277, + "learning_rate": 0.0013284671532846717, + "loss": 0.7197, + "step": 825 + }, + { + "epoch": 1.8069455838118675, + "grad_norm": 0.011389415711164474, + "learning_rate": 0.0013260340632603406, + "loss": 0.8466, + "step": 826 + }, + { + "epoch": 1.8091331692644244, + "grad_norm": 0.010654733516275883, + "learning_rate": 0.0013236009732360097, + "loss": 0.7456, + "step": 827 + }, + { + "epoch": 1.8113207547169812, + "grad_norm": 0.010770871303975582, + "learning_rate": 0.001321167883211679, + "loss": 0.6827, + "step": 828 + }, + { + "epoch": 1.813508340169538, + "grad_norm": 0.00828484632074833, + "learning_rate": 0.0013187347931873478, + "loss": 0.6794, + "step": 829 + }, + { + "epoch": 1.8156959256220946, + "grad_norm": 0.00973398145288229, + "learning_rate": 0.0013163017031630172, + "loss": 0.7354, + "step": 830 + }, + { + "epoch": 1.8178835110746514, + "grad_norm": 0.00983220711350441, + "learning_rate": 0.0013138686131386862, + "loss": 0.8531, + "step": 831 + }, + { + "epoch": 1.820071096527208, + "grad_norm": 0.02620159089565277, + "learning_rate": 0.0013114355231143551, + "loss": 0.7631, + "step": 832 + }, + { + "epoch": 1.8222586819797648, + "grad_norm": 0.057880647480487823, + "learning_rate": 0.0013090024330900244, + "loss": 0.9336, + "step": 833 + }, + { + "epoch": 1.8244462674323216, + "grad_norm": 0.011240589432418346, + "learning_rate": 0.0013065693430656935, + "loss": 0.5887, + "step": 834 + }, + { + "epoch": 1.8266338528848785, + "grad_norm": 0.012356660328805447, + "learning_rate": 0.0013041362530413626, + "loss": 0.702, + "step": 835 + }, + { + "epoch": 1.828821438337435, + "grad_norm": 0.006840168032795191, + "learning_rate": 0.0013017031630170317, + "loss": 0.756, + "step": 836 + }, + { + "epoch": 1.8310090237899916, + "grad_norm": 0.005550102796405554, + "learning_rate": 0.0012992700729927008, + "loss": 0.7161, + "step": 837 + }, + { + "epoch": 1.8331966092425485, + "grad_norm": 0.0120685501024127, + "learning_rate": 0.0012968369829683699, + "loss": 0.9234, + "step": 838 + }, + { + "epoch": 1.8353841946951053, + "grad_norm": 0.008514792658388615, + "learning_rate": 0.001294403892944039, + "loss": 0.5988, + "step": 839 + }, + { + "epoch": 1.837571780147662, + "grad_norm": 0.019344119355082512, + "learning_rate": 0.001291970802919708, + "loss": 0.8419, + "step": 840 + }, + { + "epoch": 1.839759365600219, + "grad_norm": 0.01257373858243227, + "learning_rate": 0.0012895377128953772, + "loss": 0.6785, + "step": 841 + }, + { + "epoch": 1.8419469510527755, + "grad_norm": 0.022899962961673737, + "learning_rate": 0.0012871046228710463, + "loss": 0.6617, + "step": 842 + }, + { + "epoch": 1.844134536505332, + "grad_norm": 0.012275392189621925, + "learning_rate": 0.0012846715328467154, + "loss": 0.8096, + "step": 843 + }, + { + "epoch": 1.846322121957889, + "grad_norm": 0.01191315334290266, + "learning_rate": 0.0012822384428223844, + "loss": 0.7757, + "step": 844 + }, + { + "epoch": 1.8485097074104457, + "grad_norm": 0.012164206244051456, + "learning_rate": 0.0012798053527980535, + "loss": 0.7284, + "step": 845 + }, + { + "epoch": 1.8506972928630026, + "grad_norm": 0.007747825235128403, + "learning_rate": 0.0012773722627737226, + "loss": 0.673, + "step": 846 + }, + { + "epoch": 1.8528848783155591, + "grad_norm": 0.01633123680949211, + "learning_rate": 0.0012749391727493917, + "loss": 0.6006, + "step": 847 + }, + { + "epoch": 1.855072463768116, + "grad_norm": 0.008600953966379166, + "learning_rate": 0.0012725060827250608, + "loss": 0.7354, + "step": 848 + }, + { + "epoch": 1.8572600492206726, + "grad_norm": 0.008487503044307232, + "learning_rate": 0.00127007299270073, + "loss": 0.689, + "step": 849 + }, + { + "epoch": 1.8594476346732294, + "grad_norm": 0.01615467295050621, + "learning_rate": 0.001267639902676399, + "loss": 0.7461, + "step": 850 + }, + { + "epoch": 1.8616352201257862, + "grad_norm": 0.008541187271475792, + "learning_rate": 0.0012652068126520683, + "loss": 0.6958, + "step": 851 + }, + { + "epoch": 1.863822805578343, + "grad_norm": 0.01053849421441555, + "learning_rate": 0.0012627737226277372, + "loss": 0.6786, + "step": 852 + }, + { + "epoch": 1.8660103910308996, + "grad_norm": 0.008857163600623608, + "learning_rate": 0.0012603406326034063, + "loss": 0.6645, + "step": 853 + }, + { + "epoch": 1.8681979764834564, + "grad_norm": 0.006793574895709753, + "learning_rate": 0.0012579075425790756, + "loss": 0.6311, + "step": 854 + }, + { + "epoch": 1.870385561936013, + "grad_norm": 0.01936703361570835, + "learning_rate": 0.0012554744525547445, + "loss": 0.9318, + "step": 855 + }, + { + "epoch": 1.8725731473885698, + "grad_norm": 0.009839971549808979, + "learning_rate": 0.0012530413625304138, + "loss": 0.7309, + "step": 856 + }, + { + "epoch": 1.8747607328411267, + "grad_norm": 0.010399356484413147, + "learning_rate": 0.0012506082725060829, + "loss": 0.8351, + "step": 857 + }, + { + "epoch": 1.8769483182936835, + "grad_norm": 0.014294488355517387, + "learning_rate": 0.0012481751824817517, + "loss": 0.6187, + "step": 858 + }, + { + "epoch": 1.87913590374624, + "grad_norm": 0.011614672839641571, + "learning_rate": 0.001245742092457421, + "loss": 0.9295, + "step": 859 + }, + { + "epoch": 1.8813234891987969, + "grad_norm": 0.015355818904936314, + "learning_rate": 0.00124330900243309, + "loss": 0.5266, + "step": 860 + }, + { + "epoch": 1.8835110746513535, + "grad_norm": 0.011674858629703522, + "learning_rate": 0.0012408759124087592, + "loss": 0.6467, + "step": 861 + }, + { + "epoch": 1.8856986601039103, + "grad_norm": 0.013345809653401375, + "learning_rate": 0.0012384428223844283, + "loss": 0.8166, + "step": 862 + }, + { + "epoch": 1.8878862455564671, + "grad_norm": 0.009595265612006187, + "learning_rate": 0.0012360097323600972, + "loss": 0.7704, + "step": 863 + }, + { + "epoch": 1.890073831009024, + "grad_norm": 0.01896647922694683, + "learning_rate": 0.0012335766423357665, + "loss": 0.7815, + "step": 864 + }, + { + "epoch": 1.8922614164615805, + "grad_norm": 0.017639558762311935, + "learning_rate": 0.0012311435523114356, + "loss": 0.7979, + "step": 865 + }, + { + "epoch": 1.8944490019141371, + "grad_norm": 0.022902049124240875, + "learning_rate": 0.0012287104622871047, + "loss": 0.8904, + "step": 866 + }, + { + "epoch": 1.896636587366694, + "grad_norm": 0.0124649154022336, + "learning_rate": 0.0012262773722627738, + "loss": 0.7693, + "step": 867 + }, + { + "epoch": 1.8988241728192508, + "grad_norm": 0.007474742829799652, + "learning_rate": 0.0012238442822384429, + "loss": 0.6641, + "step": 868 + }, + { + "epoch": 1.9010117582718076, + "grad_norm": 0.008987569250166416, + "learning_rate": 0.001221411192214112, + "loss": 0.6378, + "step": 869 + }, + { + "epoch": 1.9031993437243644, + "grad_norm": 0.009300309233367443, + "learning_rate": 0.001218978102189781, + "loss": 0.7426, + "step": 870 + }, + { + "epoch": 1.905386929176921, + "grad_norm": 0.01408142875880003, + "learning_rate": 0.0012165450121654502, + "loss": 0.7824, + "step": 871 + }, + { + "epoch": 1.9075745146294776, + "grad_norm": 0.00678917346522212, + "learning_rate": 0.0012141119221411192, + "loss": 0.7978, + "step": 872 + }, + { + "epoch": 1.9097621000820344, + "grad_norm": 0.010661943815648556, + "learning_rate": 0.0012116788321167883, + "loss": 0.6591, + "step": 873 + }, + { + "epoch": 1.9119496855345912, + "grad_norm": 0.009882554411888123, + "learning_rate": 0.0012092457420924574, + "loss": 0.7443, + "step": 874 + }, + { + "epoch": 1.914137270987148, + "grad_norm": 0.12100229412317276, + "learning_rate": 0.0012068126520681265, + "loss": 0.8035, + "step": 875 + }, + { + "epoch": 1.9163248564397046, + "grad_norm": 0.01500593964010477, + "learning_rate": 0.0012043795620437956, + "loss": 0.8671, + "step": 876 + }, + { + "epoch": 1.9185124418922614, + "grad_norm": 0.01351536437869072, + "learning_rate": 0.0012019464720194647, + "loss": 0.824, + "step": 877 + }, + { + "epoch": 1.920700027344818, + "grad_norm": 0.02334493212401867, + "learning_rate": 0.0011995133819951338, + "loss": 0.7728, + "step": 878 + }, + { + "epoch": 1.9228876127973749, + "grad_norm": 0.04414600878953934, + "learning_rate": 0.001197080291970803, + "loss": 0.7811, + "step": 879 + }, + { + "epoch": 1.9250751982499317, + "grad_norm": 0.03064621239900589, + "learning_rate": 0.001194647201946472, + "loss": 0.8812, + "step": 880 + }, + { + "epoch": 1.9272627837024885, + "grad_norm": 0.010438323952257633, + "learning_rate": 0.001192214111922141, + "loss": 0.8027, + "step": 881 + }, + { + "epoch": 1.929450369155045, + "grad_norm": 0.016364533454179764, + "learning_rate": 0.0011897810218978104, + "loss": 0.6239, + "step": 882 + }, + { + "epoch": 1.931637954607602, + "grad_norm": 0.02069861628115177, + "learning_rate": 0.0011873479318734793, + "loss": 0.8137, + "step": 883 + }, + { + "epoch": 1.9338255400601585, + "grad_norm": 0.017191501334309578, + "learning_rate": 0.0011849148418491484, + "loss": 0.8052, + "step": 884 + }, + { + "epoch": 1.9360131255127153, + "grad_norm": 0.014077574014663696, + "learning_rate": 0.0011824817518248177, + "loss": 0.8584, + "step": 885 + }, + { + "epoch": 1.9382007109652721, + "grad_norm": 0.009209788404405117, + "learning_rate": 0.0011800486618004865, + "loss": 0.6426, + "step": 886 + }, + { + "epoch": 1.940388296417829, + "grad_norm": 0.026021014899015427, + "learning_rate": 0.0011776155717761558, + "loss": 0.7457, + "step": 887 + }, + { + "epoch": 1.9425758818703855, + "grad_norm": 0.024019265547394753, + "learning_rate": 0.001175182481751825, + "loss": 0.869, + "step": 888 + }, + { + "epoch": 1.9447634673229421, + "grad_norm": 0.020230406895279884, + "learning_rate": 0.0011727493917274938, + "loss": 0.8532, + "step": 889 + }, + { + "epoch": 1.946951052775499, + "grad_norm": 0.018076736479997635, + "learning_rate": 0.0011703163017031631, + "loss": 0.7276, + "step": 890 + }, + { + "epoch": 1.9491386382280558, + "grad_norm": 0.019679049029946327, + "learning_rate": 0.0011678832116788322, + "loss": 0.7214, + "step": 891 + }, + { + "epoch": 1.9513262236806126, + "grad_norm": 0.010772393085062504, + "learning_rate": 0.0011654501216545013, + "loss": 0.6786, + "step": 892 + }, + { + "epoch": 1.9535138091331694, + "grad_norm": 0.010874917730689049, + "learning_rate": 0.0011630170316301704, + "loss": 0.7272, + "step": 893 + }, + { + "epoch": 1.955701394585726, + "grad_norm": 0.00815314520150423, + "learning_rate": 0.0011605839416058395, + "loss": 0.8908, + "step": 894 + }, + { + "epoch": 1.9578889800382826, + "grad_norm": 0.008539310656487942, + "learning_rate": 0.0011581508515815086, + "loss": 0.6394, + "step": 895 + }, + { + "epoch": 1.9600765654908394, + "grad_norm": 0.039017412811517715, + "learning_rate": 0.0011557177615571777, + "loss": 0.6505, + "step": 896 + }, + { + "epoch": 1.9622641509433962, + "grad_norm": 0.009175320155918598, + "learning_rate": 0.0011532846715328468, + "loss": 0.975, + "step": 897 + }, + { + "epoch": 1.964451736395953, + "grad_norm": 0.014542749151587486, + "learning_rate": 0.0011508515815085159, + "loss": 0.7222, + "step": 898 + }, + { + "epoch": 1.9666393218485099, + "grad_norm": 0.01856316812336445, + "learning_rate": 0.001148418491484185, + "loss": 0.7575, + "step": 899 + }, + { + "epoch": 1.9688269073010665, + "grad_norm": 0.007601718418300152, + "learning_rate": 0.001145985401459854, + "loss": 0.7233, + "step": 900 + }, + { + "epoch": 1.971014492753623, + "grad_norm": 0.034239862114191055, + "learning_rate": 0.0011435523114355231, + "loss": 0.6989, + "step": 901 + }, + { + "epoch": 1.9732020782061799, + "grad_norm": 0.00851233210414648, + "learning_rate": 0.0011411192214111922, + "loss": 0.8321, + "step": 902 + }, + { + "epoch": 1.9753896636587367, + "grad_norm": 0.009412054903805256, + "learning_rate": 0.0011386861313868613, + "loss": 0.7139, + "step": 903 + }, + { + "epoch": 1.9775772491112935, + "grad_norm": 0.012049161829054356, + "learning_rate": 0.0011362530413625304, + "loss": 0.6989, + "step": 904 + }, + { + "epoch": 1.97976483456385, + "grad_norm": 0.010931652970612049, + "learning_rate": 0.0011338199513381995, + "loss": 0.8747, + "step": 905 + }, + { + "epoch": 1.981952420016407, + "grad_norm": 0.015494965016841888, + "learning_rate": 0.0011313868613138686, + "loss": 0.8644, + "step": 906 + }, + { + "epoch": 1.9841400054689635, + "grad_norm": 0.012480970472097397, + "learning_rate": 0.0011289537712895377, + "loss": 0.907, + "step": 907 + }, + { + "epoch": 1.9863275909215203, + "grad_norm": 0.01492912694811821, + "learning_rate": 0.001126520681265207, + "loss": 0.7421, + "step": 908 + }, + { + "epoch": 1.9885151763740772, + "grad_norm": 0.012027468532323837, + "learning_rate": 0.0011240875912408759, + "loss": 0.9274, + "step": 909 + }, + { + "epoch": 1.990702761826634, + "grad_norm": 0.014835814945399761, + "learning_rate": 0.001121654501216545, + "loss": 0.8337, + "step": 910 + }, + { + "epoch": 1.9928903472791906, + "grad_norm": 0.008667545393109322, + "learning_rate": 0.0011192214111922143, + "loss": 0.6117, + "step": 911 + }, + { + "epoch": 1.9950779327317474, + "grad_norm": 0.01624200865626335, + "learning_rate": 0.0011167883211678832, + "loss": 0.8712, + "step": 912 + }, + { + "epoch": 1.997265518184304, + "grad_norm": 0.008188914507627487, + "learning_rate": 0.0011143552311435525, + "loss": 0.8495, + "step": 913 + }, + { + "epoch": 1.9994531036368608, + "grad_norm": 0.013718970119953156, + "learning_rate": 0.0011119221411192213, + "loss": 0.8417, + "step": 914 + }, + { + "epoch": 2.0016406890894176, + "grad_norm": 0.00691073015332222, + "learning_rate": 0.0011094890510948904, + "loss": 0.7033, + "step": 915 + }, + { + "epoch": 2.0038282745419744, + "grad_norm": 0.017321942374110222, + "learning_rate": 0.0011070559610705597, + "loss": 0.7979, + "step": 916 + }, + { + "epoch": 2.0060158599945312, + "grad_norm": 0.007781198713928461, + "learning_rate": 0.0011046228710462286, + "loss": 0.6795, + "step": 917 + }, + { + "epoch": 2.0082034454470876, + "grad_norm": 0.007755633443593979, + "learning_rate": 0.001102189781021898, + "loss": 0.6363, + "step": 918 + }, + { + "epoch": 2.0103910308996444, + "grad_norm": 0.015355097129940987, + "learning_rate": 0.001099756690997567, + "loss": 0.7684, + "step": 919 + }, + { + "epoch": 2.0125786163522013, + "grad_norm": 0.009972341358661652, + "learning_rate": 0.001097323600973236, + "loss": 0.7659, + "step": 920 + }, + { + "epoch": 2.014766201804758, + "grad_norm": 0.00998846534639597, + "learning_rate": 0.0010948905109489052, + "loss": 0.918, + "step": 921 + }, + { + "epoch": 2.016953787257315, + "grad_norm": 0.007050537038594484, + "learning_rate": 0.0010924574209245743, + "loss": 0.7083, + "step": 922 + }, + { + "epoch": 2.0191413727098713, + "grad_norm": 0.008426625281572342, + "learning_rate": 0.0010900243309002432, + "loss": 0.7962, + "step": 923 + }, + { + "epoch": 2.021328958162428, + "grad_norm": 0.009424027986824512, + "learning_rate": 0.0010875912408759125, + "loss": 0.7369, + "step": 924 + }, + { + "epoch": 2.023516543614985, + "grad_norm": 0.012517026625573635, + "learning_rate": 0.0010851581508515816, + "loss": 0.8281, + "step": 925 + }, + { + "epoch": 2.0257041290675417, + "grad_norm": 0.016427017748355865, + "learning_rate": 0.0010827250608272507, + "loss": 0.7808, + "step": 926 + }, + { + "epoch": 2.0278917145200985, + "grad_norm": 0.011162400245666504, + "learning_rate": 0.0010802919708029198, + "loss": 0.8512, + "step": 927 + }, + { + "epoch": 2.0300792999726553, + "grad_norm": 0.025822371244430542, + "learning_rate": 0.0010778588807785888, + "loss": 0.6347, + "step": 928 + }, + { + "epoch": 2.0322668854252117, + "grad_norm": 0.008243129588663578, + "learning_rate": 0.001075425790754258, + "loss": 0.7126, + "step": 929 + }, + { + "epoch": 2.0344544708777685, + "grad_norm": 0.01245404314249754, + "learning_rate": 0.001072992700729927, + "loss": 0.6111, + "step": 930 + }, + { + "epoch": 2.0366420563303254, + "grad_norm": 0.006443020887672901, + "learning_rate": 0.0010705596107055961, + "loss": 0.6287, + "step": 931 + }, + { + "epoch": 2.038829641782882, + "grad_norm": 0.01358412578701973, + "learning_rate": 0.0010681265206812652, + "loss": 1.0563, + "step": 932 + }, + { + "epoch": 2.041017227235439, + "grad_norm": 0.010836120694875717, + "learning_rate": 0.0010656934306569343, + "loss": 0.7046, + "step": 933 + }, + { + "epoch": 2.043204812687996, + "grad_norm": 0.012488581240177155, + "learning_rate": 0.0010632603406326034, + "loss": 0.8661, + "step": 934 + }, + { + "epoch": 2.045392398140552, + "grad_norm": 0.009522946551442146, + "learning_rate": 0.0010608272506082725, + "loss": 0.6687, + "step": 935 + }, + { + "epoch": 2.047579983593109, + "grad_norm": 0.03695467486977577, + "learning_rate": 0.0010583941605839416, + "loss": 0.7727, + "step": 936 + }, + { + "epoch": 2.049767569045666, + "grad_norm": 0.04616512730717659, + "learning_rate": 0.0010559610705596107, + "loss": 0.7193, + "step": 937 + }, + { + "epoch": 2.0519551544982226, + "grad_norm": 0.010503578931093216, + "learning_rate": 0.0010535279805352798, + "loss": 0.6701, + "step": 938 + }, + { + "epoch": 2.0541427399507795, + "grad_norm": 0.008623762056231499, + "learning_rate": 0.001051094890510949, + "loss": 0.7161, + "step": 939 + }, + { + "epoch": 2.0563303254033363, + "grad_norm": 0.007583661004900932, + "learning_rate": 0.001048661800486618, + "loss": 0.7402, + "step": 940 + }, + { + "epoch": 2.0585179108558926, + "grad_norm": 0.008966002613306046, + "learning_rate": 0.001046228710462287, + "loss": 0.7016, + "step": 941 + }, + { + "epoch": 2.0607054963084495, + "grad_norm": 0.0104443971067667, + "learning_rate": 0.0010437956204379564, + "loss": 0.7877, + "step": 942 + }, + { + "epoch": 2.0628930817610063, + "grad_norm": 0.011073727160692215, + "learning_rate": 0.0010413625304136252, + "loss": 0.8216, + "step": 943 + }, + { + "epoch": 2.065080667213563, + "grad_norm": 0.006104661151766777, + "learning_rate": 0.0010389294403892943, + "loss": 0.7218, + "step": 944 + }, + { + "epoch": 2.06726825266612, + "grad_norm": 0.006152690388262272, + "learning_rate": 0.0010364963503649636, + "loss": 0.6807, + "step": 945 + }, + { + "epoch": 2.0694558381186763, + "grad_norm": 0.01146136224269867, + "learning_rate": 0.0010340632603406325, + "loss": 0.8706, + "step": 946 + }, + { + "epoch": 2.071643423571233, + "grad_norm": 0.008924251422286034, + "learning_rate": 0.0010316301703163018, + "loss": 0.7596, + "step": 947 + }, + { + "epoch": 2.07383100902379, + "grad_norm": 0.01587800122797489, + "learning_rate": 0.001029197080291971, + "loss": 0.8315, + "step": 948 + }, + { + "epoch": 2.0760185944763467, + "grad_norm": 0.007868033833801746, + "learning_rate": 0.0010267639902676398, + "loss": 0.8498, + "step": 949 + }, + { + "epoch": 2.0782061799289036, + "grad_norm": 0.009655119851231575, + "learning_rate": 0.001024330900243309, + "loss": 0.909, + "step": 950 + }, + { + "epoch": 2.0803937653814604, + "grad_norm": 0.014302834868431091, + "learning_rate": 0.001021897810218978, + "loss": 0.8934, + "step": 951 + }, + { + "epoch": 2.0825813508340167, + "grad_norm": 0.008887048810720444, + "learning_rate": 0.0010194647201946473, + "loss": 0.62, + "step": 952 + }, + { + "epoch": 2.0847689362865736, + "grad_norm": 0.016339240595698357, + "learning_rate": 0.0010170316301703164, + "loss": 0.7503, + "step": 953 + }, + { + "epoch": 2.0869565217391304, + "grad_norm": 0.013042870908975601, + "learning_rate": 0.0010145985401459853, + "loss": 0.7425, + "step": 954 + }, + { + "epoch": 2.089144107191687, + "grad_norm": 0.009357294999063015, + "learning_rate": 0.0010121654501216546, + "loss": 0.7565, + "step": 955 + }, + { + "epoch": 2.091331692644244, + "grad_norm": 0.008100231178104877, + "learning_rate": 0.0010097323600973237, + "loss": 0.659, + "step": 956 + }, + { + "epoch": 2.093519278096801, + "grad_norm": 0.008745480328798294, + "learning_rate": 0.0010072992700729927, + "loss": 0.6722, + "step": 957 + }, + { + "epoch": 2.095706863549357, + "grad_norm": 0.02181909792125225, + "learning_rate": 0.0010048661800486618, + "loss": 0.7497, + "step": 958 + }, + { + "epoch": 2.097894449001914, + "grad_norm": 0.005593753885477781, + "learning_rate": 0.001002433090024331, + "loss": 0.6413, + "step": 959 + }, + { + "epoch": 2.100082034454471, + "grad_norm": 0.0110318623483181, + "learning_rate": 0.001, + "loss": 0.7437, + "step": 960 + }, + { + "epoch": 2.1022696199070277, + "grad_norm": 0.07487611472606659, + "learning_rate": 0.0009975669099756691, + "loss": 0.8967, + "step": 961 + }, + { + "epoch": 2.1044572053595845, + "grad_norm": 0.011572844348847866, + "learning_rate": 0.0009951338199513382, + "loss": 0.7016, + "step": 962 + }, + { + "epoch": 2.1066447908121413, + "grad_norm": 0.0219709649682045, + "learning_rate": 0.0009927007299270073, + "loss": 0.7582, + "step": 963 + }, + { + "epoch": 2.1088323762646977, + "grad_norm": 0.014250703155994415, + "learning_rate": 0.0009902676399026764, + "loss": 0.6485, + "step": 964 + }, + { + "epoch": 2.1110199617172545, + "grad_norm": 0.010836089961230755, + "learning_rate": 0.0009878345498783455, + "loss": 0.7457, + "step": 965 + }, + { + "epoch": 2.1132075471698113, + "grad_norm": 0.010538347065448761, + "learning_rate": 0.0009854014598540146, + "loss": 0.7283, + "step": 966 + }, + { + "epoch": 2.115395132622368, + "grad_norm": 0.011399851180613041, + "learning_rate": 0.0009829683698296837, + "loss": 0.6896, + "step": 967 + }, + { + "epoch": 2.117582718074925, + "grad_norm": 0.027435095980763435, + "learning_rate": 0.000980535279805353, + "loss": 0.9376, + "step": 968 + }, + { + "epoch": 2.1197703035274817, + "grad_norm": 0.00705757224932313, + "learning_rate": 0.0009781021897810219, + "loss": 0.7243, + "step": 969 + }, + { + "epoch": 2.121957888980038, + "grad_norm": 0.0098995016887784, + "learning_rate": 0.000975669099756691, + "loss": 0.7931, + "step": 970 + }, + { + "epoch": 2.124145474432595, + "grad_norm": 0.011125714518129826, + "learning_rate": 0.00097323600973236, + "loss": 0.6044, + "step": 971 + }, + { + "epoch": 2.1263330598851518, + "grad_norm": 0.009387229569256306, + "learning_rate": 0.0009708029197080292, + "loss": 0.7187, + "step": 972 + }, + { + "epoch": 2.1285206453377086, + "grad_norm": 0.01129234954714775, + "learning_rate": 0.0009683698296836983, + "loss": 0.8324, + "step": 973 + }, + { + "epoch": 2.1307082307902654, + "grad_norm": 0.011272157542407513, + "learning_rate": 0.0009659367396593673, + "loss": 0.7128, + "step": 974 + }, + { + "epoch": 2.132895816242822, + "grad_norm": 0.010409243404865265, + "learning_rate": 0.0009635036496350365, + "loss": 0.7535, + "step": 975 + }, + { + "epoch": 2.1350834016953786, + "grad_norm": 0.00857408158481121, + "learning_rate": 0.0009610705596107057, + "loss": 0.8129, + "step": 976 + }, + { + "epoch": 2.1372709871479354, + "grad_norm": 0.014548208564519882, + "learning_rate": 0.0009586374695863747, + "loss": 0.676, + "step": 977 + }, + { + "epoch": 2.139458572600492, + "grad_norm": 0.016449380666017532, + "learning_rate": 0.0009562043795620438, + "loss": 0.7384, + "step": 978 + }, + { + "epoch": 2.141646158053049, + "grad_norm": 0.007109857629984617, + "learning_rate": 0.000953771289537713, + "loss": 0.6808, + "step": 979 + }, + { + "epoch": 2.143833743505606, + "grad_norm": 0.009979904629290104, + "learning_rate": 0.000951338199513382, + "loss": 0.6907, + "step": 980 + }, + { + "epoch": 2.146021328958162, + "grad_norm": 0.008424636907875538, + "learning_rate": 0.0009489051094890511, + "loss": 0.7423, + "step": 981 + }, + { + "epoch": 2.148208914410719, + "grad_norm": 0.01054910384118557, + "learning_rate": 0.0009464720194647203, + "loss": 0.6611, + "step": 982 + }, + { + "epoch": 2.150396499863276, + "grad_norm": 0.0084614809602499, + "learning_rate": 0.0009440389294403893, + "loss": 0.7548, + "step": 983 + }, + { + "epoch": 2.1525840853158327, + "grad_norm": 0.008796039037406445, + "learning_rate": 0.0009416058394160585, + "loss": 0.9042, + "step": 984 + }, + { + "epoch": 2.1547716707683895, + "grad_norm": 0.011639994569122791, + "learning_rate": 0.0009391727493917275, + "loss": 0.6474, + "step": 985 + }, + { + "epoch": 2.1569592562209463, + "grad_norm": 0.011916186660528183, + "learning_rate": 0.0009367396593673965, + "loss": 0.7848, + "step": 986 + }, + { + "epoch": 2.1591468416735027, + "grad_norm": 0.01620625890791416, + "learning_rate": 0.0009343065693430657, + "loss": 0.7924, + "step": 987 + }, + { + "epoch": 2.1613344271260595, + "grad_norm": 0.008310189470648766, + "learning_rate": 0.0009318734793187349, + "loss": 0.8015, + "step": 988 + }, + { + "epoch": 2.1635220125786163, + "grad_norm": 0.008162159472703934, + "learning_rate": 0.0009294403892944039, + "loss": 0.8261, + "step": 989 + }, + { + "epoch": 2.165709598031173, + "grad_norm": 0.009289762936532497, + "learning_rate": 0.000927007299270073, + "loss": 0.8676, + "step": 990 + }, + { + "epoch": 2.16789718348373, + "grad_norm": 0.007392804138362408, + "learning_rate": 0.000924574209245742, + "loss": 0.6025, + "step": 991 + }, + { + "epoch": 2.1700847689362868, + "grad_norm": 0.008378117345273495, + "learning_rate": 0.0009221411192214112, + "loss": 0.5951, + "step": 992 + }, + { + "epoch": 2.172272354388843, + "grad_norm": 0.037044674158096313, + "learning_rate": 0.0009197080291970804, + "loss": 0.7454, + "step": 993 + }, + { + "epoch": 2.1744599398414, + "grad_norm": 0.01427681464701891, + "learning_rate": 0.0009172749391727494, + "loss": 0.5663, + "step": 994 + }, + { + "epoch": 2.1766475252939568, + "grad_norm": 0.010998294688761234, + "learning_rate": 0.0009148418491484185, + "loss": 0.9058, + "step": 995 + }, + { + "epoch": 2.1788351107465136, + "grad_norm": 0.007977189496159554, + "learning_rate": 0.0009124087591240877, + "loss": 0.664, + "step": 996 + }, + { + "epoch": 2.1810226961990704, + "grad_norm": 0.008938194252550602, + "learning_rate": 0.0009099756690997567, + "loss": 0.7787, + "step": 997 + }, + { + "epoch": 2.1832102816516272, + "grad_norm": 0.014179794117808342, + "learning_rate": 0.0009075425790754259, + "loss": 0.6453, + "step": 998 + }, + { + "epoch": 2.1853978671041836, + "grad_norm": 0.01838630810379982, + "learning_rate": 0.000905109489051095, + "loss": 0.7138, + "step": 999 + }, + { + "epoch": 2.1875854525567404, + "grad_norm": 0.027501361444592476, + "learning_rate": 0.0009026763990267639, + "loss": 0.7204, + "step": 1000 + }, + { + "epoch": 2.1897730380092972, + "grad_norm": 0.007381811738014221, + "learning_rate": 0.0009002433090024331, + "loss": 0.8955, + "step": 1001 + }, + { + "epoch": 2.191960623461854, + "grad_norm": 0.07506415992975235, + "learning_rate": 0.0008978102189781023, + "loss": 0.802, + "step": 1002 + }, + { + "epoch": 2.194148208914411, + "grad_norm": 0.028858385980129242, + "learning_rate": 0.0008953771289537713, + "loss": 0.7682, + "step": 1003 + }, + { + "epoch": 2.1963357943669672, + "grad_norm": 0.013214879669249058, + "learning_rate": 0.0008929440389294404, + "loss": 0.7162, + "step": 1004 + }, + { + "epoch": 2.198523379819524, + "grad_norm": 0.007629261817783117, + "learning_rate": 0.0008905109489051096, + "loss": 0.7283, + "step": 1005 + }, + { + "epoch": 2.200710965272081, + "grad_norm": 0.007726036943495274, + "learning_rate": 0.0008880778588807786, + "loss": 0.8558, + "step": 1006 + }, + { + "epoch": 2.2028985507246377, + "grad_norm": 0.008436914533376694, + "learning_rate": 0.0008856447688564477, + "loss": 0.7377, + "step": 1007 + }, + { + "epoch": 2.2050861361771945, + "grad_norm": 0.02465754747390747, + "learning_rate": 0.0008832116788321168, + "loss": 0.5909, + "step": 1008 + }, + { + "epoch": 2.2072737216297513, + "grad_norm": 0.007964403368532658, + "learning_rate": 0.0008807785888077859, + "loss": 0.9931, + "step": 1009 + }, + { + "epoch": 2.2094613070823077, + "grad_norm": 0.008428809233009815, + "learning_rate": 0.0008783454987834551, + "loss": 0.8308, + "step": 1010 + }, + { + "epoch": 2.2116488925348645, + "grad_norm": 0.005988140590488911, + "learning_rate": 0.0008759124087591241, + "loss": 0.6528, + "step": 1011 + }, + { + "epoch": 2.2138364779874213, + "grad_norm": 0.009502807632088661, + "learning_rate": 0.0008734793187347931, + "loss": 0.7241, + "step": 1012 + }, + { + "epoch": 2.216024063439978, + "grad_norm": 0.01181811187416315, + "learning_rate": 0.0008710462287104623, + "loss": 0.5897, + "step": 1013 + }, + { + "epoch": 2.218211648892535, + "grad_norm": 0.013522054068744183, + "learning_rate": 0.0008686131386861313, + "loss": 0.7664, + "step": 1014 + }, + { + "epoch": 2.220399234345092, + "grad_norm": 0.008381453342735767, + "learning_rate": 0.0008661800486618005, + "loss": 0.7758, + "step": 1015 + }, + { + "epoch": 2.222586819797648, + "grad_norm": 0.011634815484285355, + "learning_rate": 0.0008637469586374696, + "loss": 0.7362, + "step": 1016 + }, + { + "epoch": 2.224774405250205, + "grad_norm": 0.008570423349738121, + "learning_rate": 0.0008613138686131386, + "loss": 0.8869, + "step": 1017 + }, + { + "epoch": 2.226961990702762, + "grad_norm": 0.01613277941942215, + "learning_rate": 0.0008588807785888078, + "loss": 0.8074, + "step": 1018 + }, + { + "epoch": 2.2291495761553186, + "grad_norm": 0.0062742773443460464, + "learning_rate": 0.000856447688564477, + "loss": 0.7695, + "step": 1019 + }, + { + "epoch": 2.2313371616078754, + "grad_norm": 0.011958430521190166, + "learning_rate": 0.000854014598540146, + "loss": 0.9689, + "step": 1020 + }, + { + "epoch": 2.2335247470604322, + "grad_norm": 0.010232674889266491, + "learning_rate": 0.0008515815085158151, + "loss": 0.7289, + "step": 1021 + }, + { + "epoch": 2.2357123325129886, + "grad_norm": 0.010546423494815826, + "learning_rate": 0.0008491484184914843, + "loss": 0.7882, + "step": 1022 + }, + { + "epoch": 2.2378999179655454, + "grad_norm": 0.006704252678900957, + "learning_rate": 0.0008467153284671533, + "loss": 0.7245, + "step": 1023 + }, + { + "epoch": 2.2400875034181023, + "grad_norm": 0.00856088288128376, + "learning_rate": 0.0008442822384428225, + "loss": 0.8478, + "step": 1024 + }, + { + "epoch": 2.242275088870659, + "grad_norm": 0.011011838912963867, + "learning_rate": 0.0008418491484184916, + "loss": 0.8878, + "step": 1025 + }, + { + "epoch": 2.244462674323216, + "grad_norm": 0.008859807625412941, + "learning_rate": 0.0008394160583941605, + "loss": 1.0637, + "step": 1026 + }, + { + "epoch": 2.2466502597757723, + "grad_norm": 0.019353823736310005, + "learning_rate": 0.0008369829683698297, + "loss": 0.6664, + "step": 1027 + }, + { + "epoch": 2.248837845228329, + "grad_norm": 0.007266916800290346, + "learning_rate": 0.0008345498783454987, + "loss": 0.7924, + "step": 1028 + }, + { + "epoch": 2.251025430680886, + "grad_norm": 0.00936873722821474, + "learning_rate": 0.0008321167883211679, + "loss": 0.7045, + "step": 1029 + }, + { + "epoch": 2.2532130161334427, + "grad_norm": 0.007908246479928493, + "learning_rate": 0.000829683698296837, + "loss": 0.9256, + "step": 1030 + }, + { + "epoch": 2.2554006015859995, + "grad_norm": 0.024966659024357796, + "learning_rate": 0.000827250608272506, + "loss": 0.7243, + "step": 1031 + }, + { + "epoch": 2.2575881870385563, + "grad_norm": 0.009444604627788067, + "learning_rate": 0.0008248175182481752, + "loss": 0.7369, + "step": 1032 + }, + { + "epoch": 2.259775772491113, + "grad_norm": 0.009447803720831871, + "learning_rate": 0.0008223844282238443, + "loss": 0.7721, + "step": 1033 + }, + { + "epoch": 2.2619633579436695, + "grad_norm": 0.008546645753085613, + "learning_rate": 0.0008199513381995134, + "loss": 0.8094, + "step": 1034 + }, + { + "epoch": 2.2641509433962264, + "grad_norm": 0.006809299346059561, + "learning_rate": 0.0008175182481751825, + "loss": 0.7907, + "step": 1035 + }, + { + "epoch": 2.266338528848783, + "grad_norm": 0.013527573086321354, + "learning_rate": 0.0008150851581508517, + "loss": 0.6692, + "step": 1036 + }, + { + "epoch": 2.26852611430134, + "grad_norm": 0.007041016593575478, + "learning_rate": 0.0008126520681265207, + "loss": 0.7474, + "step": 1037 + }, + { + "epoch": 2.270713699753897, + "grad_norm": 0.006707175634801388, + "learning_rate": 0.0008102189781021898, + "loss": 0.8134, + "step": 1038 + }, + { + "epoch": 2.272901285206453, + "grad_norm": 0.030407702550292015, + "learning_rate": 0.000807785888077859, + "loss": 0.7734, + "step": 1039 + }, + { + "epoch": 2.27508887065901, + "grad_norm": 0.011364832520484924, + "learning_rate": 0.000805352798053528, + "loss": 0.6188, + "step": 1040 + }, + { + "epoch": 2.277276456111567, + "grad_norm": 0.009676680900156498, + "learning_rate": 0.0008029197080291971, + "loss": 0.8262, + "step": 1041 + }, + { + "epoch": 2.2794640415641236, + "grad_norm": 0.012146366760134697, + "learning_rate": 0.0008004866180048662, + "loss": 0.7543, + "step": 1042 + }, + { + "epoch": 2.2816516270166805, + "grad_norm": 0.021344035863876343, + "learning_rate": 0.0007980535279805352, + "loss": 0.8434, + "step": 1043 + }, + { + "epoch": 2.2838392124692373, + "grad_norm": 0.019379200413823128, + "learning_rate": 0.0007956204379562044, + "loss": 0.6678, + "step": 1044 + }, + { + "epoch": 2.2860267979217936, + "grad_norm": 0.012972463853657246, + "learning_rate": 0.0007931873479318734, + "loss": 0.7363, + "step": 1045 + }, + { + "epoch": 2.2882143833743505, + "grad_norm": 0.005540755111724138, + "learning_rate": 0.0007907542579075426, + "loss": 0.7702, + "step": 1046 + }, + { + "epoch": 2.2904019688269073, + "grad_norm": 0.01054232195019722, + "learning_rate": 0.0007883211678832117, + "loss": 0.8086, + "step": 1047 + }, + { + "epoch": 2.292589554279464, + "grad_norm": 0.006333992816507816, + "learning_rate": 0.0007858880778588807, + "loss": 0.8547, + "step": 1048 + }, + { + "epoch": 2.294777139732021, + "grad_norm": 0.007503498811274767, + "learning_rate": 0.0007834549878345499, + "loss": 0.9384, + "step": 1049 + }, + { + "epoch": 2.2969647251845773, + "grad_norm": 0.009519786573946476, + "learning_rate": 0.0007810218978102191, + "loss": 0.7457, + "step": 1050 + }, + { + "epoch": 2.299152310637134, + "grad_norm": 0.009697610512375832, + "learning_rate": 0.0007785888077858881, + "loss": 0.6572, + "step": 1051 + }, + { + "epoch": 2.301339896089691, + "grad_norm": 0.01142230723053217, + "learning_rate": 0.0007761557177615572, + "loss": 0.7003, + "step": 1052 + }, + { + "epoch": 2.3035274815422477, + "grad_norm": 0.014880196191370487, + "learning_rate": 0.0007737226277372264, + "loss": 0.9522, + "step": 1053 + }, + { + "epoch": 2.3057150669948046, + "grad_norm": 0.03530775010585785, + "learning_rate": 0.0007712895377128953, + "loss": 0.8303, + "step": 1054 + }, + { + "epoch": 2.3079026524473614, + "grad_norm": 0.008375970646739006, + "learning_rate": 0.0007688564476885646, + "loss": 0.9399, + "step": 1055 + }, + { + "epoch": 2.310090237899918, + "grad_norm": 0.011312820017337799, + "learning_rate": 0.0007664233576642336, + "loss": 0.6918, + "step": 1056 + }, + { + "epoch": 2.3122778233524746, + "grad_norm": 0.00965717900544405, + "learning_rate": 0.0007639902676399026, + "loss": 0.6898, + "step": 1057 + }, + { + "epoch": 2.3144654088050314, + "grad_norm": 0.046056658029556274, + "learning_rate": 0.0007615571776155718, + "loss": 0.7655, + "step": 1058 + }, + { + "epoch": 2.316652994257588, + "grad_norm": 0.006473752204328775, + "learning_rate": 0.0007591240875912409, + "loss": 0.7825, + "step": 1059 + }, + { + "epoch": 2.318840579710145, + "grad_norm": 0.012731518596410751, + "learning_rate": 0.0007566909975669099, + "loss": 0.7138, + "step": 1060 + }, + { + "epoch": 2.321028165162702, + "grad_norm": 0.01815684884786606, + "learning_rate": 0.0007542579075425791, + "loss": 0.7992, + "step": 1061 + }, + { + "epoch": 2.323215750615258, + "grad_norm": 0.012457008473575115, + "learning_rate": 0.0007518248175182483, + "loss": 0.7565, + "step": 1062 + }, + { + "epoch": 2.325403336067815, + "grad_norm": 0.011130121536552906, + "learning_rate": 0.0007493917274939173, + "loss": 0.6585, + "step": 1063 + }, + { + "epoch": 2.327590921520372, + "grad_norm": 0.009390764869749546, + "learning_rate": 0.0007469586374695864, + "loss": 0.5921, + "step": 1064 + }, + { + "epoch": 2.3297785069729287, + "grad_norm": 0.006265114061534405, + "learning_rate": 0.0007445255474452555, + "loss": 0.862, + "step": 1065 + }, + { + "epoch": 2.3319660924254855, + "grad_norm": 0.014493511989712715, + "learning_rate": 0.0007420924574209246, + "loss": 0.6529, + "step": 1066 + }, + { + "epoch": 2.3341536778780423, + "grad_norm": 0.01009755115956068, + "learning_rate": 0.0007396593673965938, + "loss": 1.0077, + "step": 1067 + }, + { + "epoch": 2.3363412633305987, + "grad_norm": 0.022166702896356583, + "learning_rate": 0.0007372262773722629, + "loss": 0.9121, + "step": 1068 + }, + { + "epoch": 2.3385288487831555, + "grad_norm": 0.028010999783873558, + "learning_rate": 0.0007347931873479318, + "loss": 0.6663, + "step": 1069 + }, + { + "epoch": 2.3407164342357123, + "grad_norm": 0.012431381270289421, + "learning_rate": 0.0007323600973236009, + "loss": 0.7579, + "step": 1070 + }, + { + "epoch": 2.342904019688269, + "grad_norm": 0.0932813212275505, + "learning_rate": 0.0007299270072992701, + "loss": 0.5542, + "step": 1071 + }, + { + "epoch": 2.345091605140826, + "grad_norm": 0.011022589169442654, + "learning_rate": 0.0007274939172749392, + "loss": 0.7093, + "step": 1072 + }, + { + "epoch": 2.3472791905933827, + "grad_norm": 0.008994583040475845, + "learning_rate": 0.0007250608272506082, + "loss": 0.7466, + "step": 1073 + }, + { + "epoch": 2.349466776045939, + "grad_norm": 0.01782486028969288, + "learning_rate": 0.0007226277372262774, + "loss": 0.6847, + "step": 1074 + }, + { + "epoch": 2.351654361498496, + "grad_norm": 0.011398195289075375, + "learning_rate": 0.0007201946472019465, + "loss": 0.687, + "step": 1075 + }, + { + "epoch": 2.3538419469510528, + "grad_norm": 0.023858705535531044, + "learning_rate": 0.0007177615571776156, + "loss": 0.6984, + "step": 1076 + }, + { + "epoch": 2.3560295324036096, + "grad_norm": 0.008185802958905697, + "learning_rate": 0.0007153284671532847, + "loss": 0.8747, + "step": 1077 + }, + { + "epoch": 2.3582171178561664, + "grad_norm": 0.018106609582901, + "learning_rate": 0.0007128953771289538, + "loss": 0.6591, + "step": 1078 + }, + { + "epoch": 2.360404703308723, + "grad_norm": 0.013991002924740314, + "learning_rate": 0.0007104622871046229, + "loss": 0.818, + "step": 1079 + }, + { + "epoch": 2.3625922887612796, + "grad_norm": 0.007820016704499722, + "learning_rate": 0.000708029197080292, + "loss": 0.9661, + "step": 1080 + }, + { + "epoch": 2.3647798742138364, + "grad_norm": 0.020563364028930664, + "learning_rate": 0.0007055961070559611, + "loss": 0.896, + "step": 1081 + }, + { + "epoch": 2.366967459666393, + "grad_norm": 0.01632773131132126, + "learning_rate": 0.0007031630170316302, + "loss": 0.8516, + "step": 1082 + }, + { + "epoch": 2.36915504511895, + "grad_norm": 0.012202097102999687, + "learning_rate": 0.0007007299270072992, + "loss": 0.921, + "step": 1083 + }, + { + "epoch": 2.371342630571507, + "grad_norm": 0.009598075412213802, + "learning_rate": 0.0006982968369829684, + "loss": 0.677, + "step": 1084 + }, + { + "epoch": 2.373530216024063, + "grad_norm": 0.010769539512693882, + "learning_rate": 0.0006958637469586375, + "loss": 0.7964, + "step": 1085 + }, + { + "epoch": 2.37571780147662, + "grad_norm": 0.011242173612117767, + "learning_rate": 0.0006934306569343065, + "loss": 0.6444, + "step": 1086 + }, + { + "epoch": 2.377905386929177, + "grad_norm": 0.009250817820429802, + "learning_rate": 0.0006909975669099756, + "loss": 0.7456, + "step": 1087 + }, + { + "epoch": 2.3800929723817337, + "grad_norm": 0.008871940895915031, + "learning_rate": 0.0006885644768856448, + "loss": 0.7497, + "step": 1088 + }, + { + "epoch": 2.3822805578342905, + "grad_norm": 0.014774895273149014, + "learning_rate": 0.0006861313868613139, + "loss": 0.8508, + "step": 1089 + }, + { + "epoch": 2.3844681432868473, + "grad_norm": 0.008470469154417515, + "learning_rate": 0.000683698296836983, + "loss": 0.6278, + "step": 1090 + }, + { + "epoch": 2.386655728739404, + "grad_norm": 0.02862645871937275, + "learning_rate": 0.0006812652068126521, + "loss": 0.7235, + "step": 1091 + }, + { + "epoch": 2.3888433141919605, + "grad_norm": 0.010565055534243584, + "learning_rate": 0.0006788321167883212, + "loss": 0.7064, + "step": 1092 + }, + { + "epoch": 2.3910308996445173, + "grad_norm": 0.00996407214552164, + "learning_rate": 0.0006763990267639903, + "loss": 0.747, + "step": 1093 + }, + { + "epoch": 2.393218485097074, + "grad_norm": 0.008201108314096928, + "learning_rate": 0.0006739659367396594, + "loss": 0.8917, + "step": 1094 + }, + { + "epoch": 2.395406070549631, + "grad_norm": 0.007856379263103008, + "learning_rate": 0.0006715328467153285, + "loss": 0.8106, + "step": 1095 + }, + { + "epoch": 2.3975936560021878, + "grad_norm": 0.01899876445531845, + "learning_rate": 0.0006690997566909976, + "loss": 0.9151, + "step": 1096 + }, + { + "epoch": 2.399781241454744, + "grad_norm": 0.0086012938991189, + "learning_rate": 0.0006666666666666666, + "loss": 0.872, + "step": 1097 + }, + { + "epoch": 2.401968826907301, + "grad_norm": 0.007030507083982229, + "learning_rate": 0.0006642335766423358, + "loss": 0.6529, + "step": 1098 + }, + { + "epoch": 2.4041564123598578, + "grad_norm": 0.01876233145594597, + "learning_rate": 0.0006618004866180048, + "loss": 0.8421, + "step": 1099 + }, + { + "epoch": 2.4063439978124146, + "grad_norm": 0.033474959433078766, + "learning_rate": 0.0006593673965936739, + "loss": 0.6956, + "step": 1100 + }, + { + "epoch": 2.4085315832649714, + "grad_norm": 0.018535858020186424, + "learning_rate": 0.0006569343065693431, + "loss": 0.7232, + "step": 1101 + }, + { + "epoch": 2.4107191687175282, + "grad_norm": 0.010383503511548042, + "learning_rate": 0.0006545012165450122, + "loss": 0.5804, + "step": 1102 + }, + { + "epoch": 2.4129067541700846, + "grad_norm": 0.0077387490309774876, + "learning_rate": 0.0006520681265206813, + "loss": 0.828, + "step": 1103 + }, + { + "epoch": 2.4150943396226414, + "grad_norm": 0.011656009592115879, + "learning_rate": 0.0006496350364963504, + "loss": 0.9106, + "step": 1104 + }, + { + "epoch": 2.4172819250751982, + "grad_norm": 0.005996339488774538, + "learning_rate": 0.0006472019464720195, + "loss": 0.6921, + "step": 1105 + }, + { + "epoch": 2.419469510527755, + "grad_norm": 0.022230584174394608, + "learning_rate": 0.0006447688564476886, + "loss": 0.9711, + "step": 1106 + }, + { + "epoch": 2.421657095980312, + "grad_norm": 0.031066155061125755, + "learning_rate": 0.0006423357664233577, + "loss": 0.8718, + "step": 1107 + }, + { + "epoch": 2.4238446814328682, + "grad_norm": 0.011762702837586403, + "learning_rate": 0.0006399026763990268, + "loss": 0.818, + "step": 1108 + }, + { + "epoch": 2.426032266885425, + "grad_norm": 0.009383924305438995, + "learning_rate": 0.0006374695863746959, + "loss": 0.5913, + "step": 1109 + }, + { + "epoch": 2.428219852337982, + "grad_norm": 0.012824693694710732, + "learning_rate": 0.000635036496350365, + "loss": 0.7115, + "step": 1110 + }, + { + "epoch": 2.4304074377905387, + "grad_norm": 0.007453750818967819, + "learning_rate": 0.0006326034063260342, + "loss": 0.7374, + "step": 1111 + }, + { + "epoch": 2.4325950232430955, + "grad_norm": 0.007933787070214748, + "learning_rate": 0.0006301703163017031, + "loss": 0.7921, + "step": 1112 + }, + { + "epoch": 2.4347826086956523, + "grad_norm": 0.01717616245150566, + "learning_rate": 0.0006277372262773722, + "loss": 0.9326, + "step": 1113 + }, + { + "epoch": 2.436970194148209, + "grad_norm": 0.009397076442837715, + "learning_rate": 0.0006253041362530414, + "loss": 0.6388, + "step": 1114 + }, + { + "epoch": 2.4391577796007655, + "grad_norm": 0.008330175653100014, + "learning_rate": 0.0006228710462287105, + "loss": 0.5517, + "step": 1115 + }, + { + "epoch": 2.4413453650533223, + "grad_norm": 0.013194689527153969, + "learning_rate": 0.0006204379562043796, + "loss": 0.8779, + "step": 1116 + }, + { + "epoch": 2.443532950505879, + "grad_norm": 0.012824257835745811, + "learning_rate": 0.0006180048661800486, + "loss": 0.7731, + "step": 1117 + }, + { + "epoch": 2.445720535958436, + "grad_norm": 0.011488651856780052, + "learning_rate": 0.0006155717761557178, + "loss": 0.7806, + "step": 1118 + }, + { + "epoch": 2.447908121410993, + "grad_norm": 0.006684242747724056, + "learning_rate": 0.0006131386861313869, + "loss": 1.0212, + "step": 1119 + }, + { + "epoch": 2.450095706863549, + "grad_norm": 0.010995331220328808, + "learning_rate": 0.000610705596107056, + "loss": 0.8499, + "step": 1120 + }, + { + "epoch": 2.452283292316106, + "grad_norm": 0.016977710649371147, + "learning_rate": 0.0006082725060827251, + "loss": 0.7029, + "step": 1121 + }, + { + "epoch": 2.454470877768663, + "grad_norm": 0.008742439560592175, + "learning_rate": 0.0006058394160583942, + "loss": 0.6834, + "step": 1122 + }, + { + "epoch": 2.4566584632212196, + "grad_norm": 0.006410808768123388, + "learning_rate": 0.0006034063260340633, + "loss": 0.8371, + "step": 1123 + }, + { + "epoch": 2.4588460486737764, + "grad_norm": 0.008776198141276836, + "learning_rate": 0.0006009732360097324, + "loss": 0.7001, + "step": 1124 + }, + { + "epoch": 2.4610336341263332, + "grad_norm": 0.007712388876825571, + "learning_rate": 0.0005985401459854014, + "loss": 0.5664, + "step": 1125 + }, + { + "epoch": 2.4632212195788896, + "grad_norm": 0.011250052601099014, + "learning_rate": 0.0005961070559610705, + "loss": 0.8572, + "step": 1126 + }, + { + "epoch": 2.4654088050314464, + "grad_norm": 0.010831180959939957, + "learning_rate": 0.0005936739659367396, + "loss": 0.6984, + "step": 1127 + }, + { + "epoch": 2.4675963904840033, + "grad_norm": 0.025114471092820168, + "learning_rate": 0.0005912408759124088, + "loss": 0.7401, + "step": 1128 + }, + { + "epoch": 2.46978397593656, + "grad_norm": 0.006640868727117777, + "learning_rate": 0.0005888077858880779, + "loss": 0.5887, + "step": 1129 + }, + { + "epoch": 2.471971561389117, + "grad_norm": 0.0060841697268188, + "learning_rate": 0.0005863746958637469, + "loss": 0.7121, + "step": 1130 + }, + { + "epoch": 2.4741591468416733, + "grad_norm": 0.012216274626553059, + "learning_rate": 0.0005839416058394161, + "loss": 0.8174, + "step": 1131 + }, + { + "epoch": 2.47634673229423, + "grad_norm": 0.009857951663434505, + "learning_rate": 0.0005815085158150852, + "loss": 0.7229, + "step": 1132 + }, + { + "epoch": 2.478534317746787, + "grad_norm": 0.010938407853245735, + "learning_rate": 0.0005790754257907543, + "loss": 0.5738, + "step": 1133 + }, + { + "epoch": 2.4807219031993437, + "grad_norm": 0.026813512668013573, + "learning_rate": 0.0005766423357664234, + "loss": 0.8543, + "step": 1134 + }, + { + "epoch": 2.4829094886519005, + "grad_norm": 0.01071678102016449, + "learning_rate": 0.0005742092457420925, + "loss": 0.9774, + "step": 1135 + }, + { + "epoch": 2.4850970741044573, + "grad_norm": 0.009592295624315739, + "learning_rate": 0.0005717761557177616, + "loss": 0.9619, + "step": 1136 + }, + { + "epoch": 2.487284659557014, + "grad_norm": 0.005114677362143993, + "learning_rate": 0.0005693430656934307, + "loss": 0.8033, + "step": 1137 + }, + { + "epoch": 2.4894722450095705, + "grad_norm": 0.012539639137685299, + "learning_rate": 0.0005669099756690998, + "loss": 0.8993, + "step": 1138 + }, + { + "epoch": 2.4916598304621274, + "grad_norm": 0.026053965091705322, + "learning_rate": 0.0005644768856447688, + "loss": 0.6817, + "step": 1139 + }, + { + "epoch": 2.493847415914684, + "grad_norm": 0.007609077729284763, + "learning_rate": 0.0005620437956204379, + "loss": 0.8549, + "step": 1140 + }, + { + "epoch": 2.496035001367241, + "grad_norm": 0.010698397643864155, + "learning_rate": 0.0005596107055961071, + "loss": 0.7068, + "step": 1141 + }, + { + "epoch": 2.498222586819798, + "grad_norm": 0.008611828088760376, + "learning_rate": 0.0005571776155717762, + "loss": 0.7465, + "step": 1142 + }, + { + "epoch": 2.500410172272354, + "grad_norm": 0.01089494489133358, + "learning_rate": 0.0005547445255474452, + "loss": 0.6224, + "step": 1143 + }, + { + "epoch": 2.502597757724911, + "grad_norm": 0.024782098829746246, + "learning_rate": 0.0005523114355231143, + "loss": 0.8328, + "step": 1144 + }, + { + "epoch": 2.504785343177468, + "grad_norm": 0.006382483057677746, + "learning_rate": 0.0005498783454987835, + "loss": 0.7787, + "step": 1145 + }, + { + "epoch": 2.5069729286300246, + "grad_norm": 0.016949672251939774, + "learning_rate": 0.0005474452554744526, + "loss": 0.7046, + "step": 1146 + }, + { + "epoch": 2.5091605140825815, + "grad_norm": 0.027401480823755264, + "learning_rate": 0.0005450121654501216, + "loss": 0.6702, + "step": 1147 + }, + { + "epoch": 2.5113480995351383, + "grad_norm": 0.01999586448073387, + "learning_rate": 0.0005425790754257908, + "loss": 0.8054, + "step": 1148 + }, + { + "epoch": 2.513535684987695, + "grad_norm": 0.010145720094442368, + "learning_rate": 0.0005401459854014599, + "loss": 0.6592, + "step": 1149 + }, + { + "epoch": 2.5157232704402515, + "grad_norm": 0.018535887822508812, + "learning_rate": 0.000537712895377129, + "loss": 0.7254, + "step": 1150 + }, + { + "epoch": 2.5179108558928083, + "grad_norm": 0.009648307226598263, + "learning_rate": 0.0005352798053527981, + "loss": 0.6838, + "step": 1151 + }, + { + "epoch": 2.520098441345365, + "grad_norm": 0.016310011968016624, + "learning_rate": 0.0005328467153284672, + "loss": 0.8777, + "step": 1152 + }, + { + "epoch": 2.522286026797922, + "grad_norm": 0.010320610366761684, + "learning_rate": 0.0005304136253041362, + "loss": 0.7651, + "step": 1153 + }, + { + "epoch": 2.5244736122504783, + "grad_norm": 0.012834092602133751, + "learning_rate": 0.0005279805352798053, + "loss": 0.7847, + "step": 1154 + }, + { + "epoch": 2.526661197703035, + "grad_norm": 0.011668582446873188, + "learning_rate": 0.0005255474452554745, + "loss": 0.7225, + "step": 1155 + }, + { + "epoch": 2.528848783155592, + "grad_norm": 0.009817942976951599, + "learning_rate": 0.0005231143552311435, + "loss": 0.6983, + "step": 1156 + }, + { + "epoch": 2.5310363686081487, + "grad_norm": 0.009282633662223816, + "learning_rate": 0.0005206812652068126, + "loss": 0.7688, + "step": 1157 + }, + { + "epoch": 2.5332239540607056, + "grad_norm": 0.007419208530336618, + "learning_rate": 0.0005182481751824818, + "loss": 0.728, + "step": 1158 + }, + { + "epoch": 2.5354115395132624, + "grad_norm": 0.029275061562657356, + "learning_rate": 0.0005158150851581509, + "loss": 0.8293, + "step": 1159 + }, + { + "epoch": 2.537599124965819, + "grad_norm": 0.01723194308578968, + "learning_rate": 0.0005133819951338199, + "loss": 0.6128, + "step": 1160 + }, + { + "epoch": 2.5397867104183756, + "grad_norm": 0.009285934269428253, + "learning_rate": 0.000510948905109489, + "loss": 0.6788, + "step": 1161 + }, + { + "epoch": 2.5419742958709324, + "grad_norm": 0.008555158041417599, + "learning_rate": 0.0005085158150851582, + "loss": 0.6507, + "step": 1162 + }, + { + "epoch": 2.544161881323489, + "grad_norm": 0.0168358962982893, + "learning_rate": 0.0005060827250608273, + "loss": 0.942, + "step": 1163 + }, + { + "epoch": 2.546349466776046, + "grad_norm": 0.0068771797232329845, + "learning_rate": 0.0005036496350364964, + "loss": 0.7844, + "step": 1164 + }, + { + "epoch": 2.548537052228603, + "grad_norm": 0.04532065615057945, + "learning_rate": 0.0005012165450121655, + "loss": 0.8095, + "step": 1165 + }, + { + "epoch": 2.550724637681159, + "grad_norm": 0.00933657493442297, + "learning_rate": 0.0004987834549878346, + "loss": 0.8072, + "step": 1166 + }, + { + "epoch": 2.552912223133716, + "grad_norm": 0.009804673492908478, + "learning_rate": 0.0004963503649635036, + "loss": 0.8715, + "step": 1167 + }, + { + "epoch": 2.555099808586273, + "grad_norm": 0.010783910751342773, + "learning_rate": 0.0004939172749391727, + "loss": 0.7891, + "step": 1168 + }, + { + "epoch": 2.5572873940388297, + "grad_norm": 0.011784784495830536, + "learning_rate": 0.0004914841849148418, + "loss": 0.7262, + "step": 1169 + }, + { + "epoch": 2.5594749794913865, + "grad_norm": 0.007322199642658234, + "learning_rate": 0.0004890510948905109, + "loss": 0.7809, + "step": 1170 + }, + { + "epoch": 2.5616625649439433, + "grad_norm": 0.011777276173233986, + "learning_rate": 0.00048661800486618, + "loss": 0.7791, + "step": 1171 + }, + { + "epoch": 2.5638501503965, + "grad_norm": 0.015589660964906216, + "learning_rate": 0.00048418491484184916, + "loss": 0.921, + "step": 1172 + }, + { + "epoch": 2.5660377358490565, + "grad_norm": 0.010277018882334232, + "learning_rate": 0.00048175182481751826, + "loss": 0.9368, + "step": 1173 + }, + { + "epoch": 2.5682253213016133, + "grad_norm": 0.02483278699219227, + "learning_rate": 0.00047931873479318735, + "loss": 0.7714, + "step": 1174 + }, + { + "epoch": 2.57041290675417, + "grad_norm": 0.013863074593245983, + "learning_rate": 0.0004768856447688565, + "loss": 0.6637, + "step": 1175 + }, + { + "epoch": 2.572600492206727, + "grad_norm": 0.015338894911110401, + "learning_rate": 0.00047445255474452553, + "loss": 0.7678, + "step": 1176 + }, + { + "epoch": 2.5747880776592833, + "grad_norm": 0.007364062592387199, + "learning_rate": 0.0004720194647201946, + "loss": 0.995, + "step": 1177 + }, + { + "epoch": 2.57697566311184, + "grad_norm": 0.1765730232000351, + "learning_rate": 0.00046958637469586377, + "loss": 0.7865, + "step": 1178 + }, + { + "epoch": 2.579163248564397, + "grad_norm": 0.010664415545761585, + "learning_rate": 0.00046715328467153287, + "loss": 0.5741, + "step": 1179 + }, + { + "epoch": 2.5813508340169538, + "grad_norm": 0.012521582655608654, + "learning_rate": 0.00046472019464720196, + "loss": 0.6621, + "step": 1180 + }, + { + "epoch": 2.5835384194695106, + "grad_norm": 0.03732423484325409, + "learning_rate": 0.000462287104622871, + "loss": 0.7453, + "step": 1181 + }, + { + "epoch": 2.5857260049220674, + "grad_norm": 0.013986853882670403, + "learning_rate": 0.0004598540145985402, + "loss": 0.7057, + "step": 1182 + }, + { + "epoch": 2.587913590374624, + "grad_norm": 0.013078927993774414, + "learning_rate": 0.00045742092457420923, + "loss": 0.7167, + "step": 1183 + }, + { + "epoch": 2.590101175827181, + "grad_norm": 0.006835412234067917, + "learning_rate": 0.0004549878345498783, + "loss": 0.8064, + "step": 1184 + }, + { + "epoch": 2.5922887612797374, + "grad_norm": 0.020057901740074158, + "learning_rate": 0.0004525547445255475, + "loss": 0.7096, + "step": 1185 + }, + { + "epoch": 2.594476346732294, + "grad_norm": 0.026187503710389137, + "learning_rate": 0.00045012165450121657, + "loss": 0.9496, + "step": 1186 + }, + { + "epoch": 2.596663932184851, + "grad_norm": 0.012171875685453415, + "learning_rate": 0.00044768856447688566, + "loss": 0.7529, + "step": 1187 + }, + { + "epoch": 2.598851517637408, + "grad_norm": 0.012145042419433594, + "learning_rate": 0.0004452554744525548, + "loss": 0.8654, + "step": 1188 + }, + { + "epoch": 2.601039103089964, + "grad_norm": 0.013504109345376492, + "learning_rate": 0.00044282238442822384, + "loss": 0.6347, + "step": 1189 + }, + { + "epoch": 2.603226688542521, + "grad_norm": 0.01362569723278284, + "learning_rate": 0.00044038929440389293, + "loss": 0.661, + "step": 1190 + }, + { + "epoch": 2.605414273995078, + "grad_norm": 0.013327688910067081, + "learning_rate": 0.00043795620437956203, + "loss": 0.6851, + "step": 1191 + }, + { + "epoch": 2.6076018594476347, + "grad_norm": 0.008194427005946636, + "learning_rate": 0.0004355231143552312, + "loss": 0.8226, + "step": 1192 + }, + { + "epoch": 2.6097894449001915, + "grad_norm": 0.017937535420060158, + "learning_rate": 0.00043309002433090027, + "loss": 0.7033, + "step": 1193 + }, + { + "epoch": 2.6119770303527483, + "grad_norm": 0.005625641439110041, + "learning_rate": 0.0004306569343065693, + "loss": 0.7106, + "step": 1194 + }, + { + "epoch": 2.614164615805305, + "grad_norm": 0.01812170445919037, + "learning_rate": 0.0004282238442822385, + "loss": 0.7344, + "step": 1195 + }, + { + "epoch": 2.6163522012578615, + "grad_norm": 0.007461361587047577, + "learning_rate": 0.00042579075425790754, + "loss": 0.835, + "step": 1196 + }, + { + "epoch": 2.6185397867104183, + "grad_norm": 0.014407969079911709, + "learning_rate": 0.00042335766423357664, + "loss": 0.7829, + "step": 1197 + }, + { + "epoch": 2.620727372162975, + "grad_norm": 0.008925898931920528, + "learning_rate": 0.0004209245742092458, + "loss": 0.6425, + "step": 1198 + }, + { + "epoch": 2.622914957615532, + "grad_norm": 0.010357217863202095, + "learning_rate": 0.0004184914841849149, + "loss": 0.894, + "step": 1199 + }, + { + "epoch": 2.6251025430680883, + "grad_norm": 0.01632748544216156, + "learning_rate": 0.00041605839416058397, + "loss": 0.6886, + "step": 1200 + }, + { + "epoch": 2.627290128520645, + "grad_norm": 0.021274514496326447, + "learning_rate": 0.000413625304136253, + "loss": 0.7503, + "step": 1201 + }, + { + "epoch": 2.629477713973202, + "grad_norm": 0.021467119455337524, + "learning_rate": 0.00041119221411192215, + "loss": 0.9202, + "step": 1202 + }, + { + "epoch": 2.6316652994257588, + "grad_norm": 0.011900427751243114, + "learning_rate": 0.00040875912408759124, + "loss": 0.7084, + "step": 1203 + }, + { + "epoch": 2.6338528848783156, + "grad_norm": 0.010819557122886181, + "learning_rate": 0.00040632603406326034, + "loss": 1.0455, + "step": 1204 + }, + { + "epoch": 2.6360404703308724, + "grad_norm": 0.012575685046613216, + "learning_rate": 0.0004038929440389295, + "loss": 0.6894, + "step": 1205 + }, + { + "epoch": 2.6382280557834292, + "grad_norm": 0.011274064891040325, + "learning_rate": 0.0004014598540145986, + "loss": 0.8449, + "step": 1206 + }, + { + "epoch": 2.640415641235986, + "grad_norm": 0.013194631785154343, + "learning_rate": 0.0003990267639902676, + "loss": 0.8192, + "step": 1207 + }, + { + "epoch": 2.6426032266885424, + "grad_norm": 0.009542672894895077, + "learning_rate": 0.0003965936739659367, + "loss": 0.8768, + "step": 1208 + }, + { + "epoch": 2.6447908121410992, + "grad_norm": 0.016639290377497673, + "learning_rate": 0.00039416058394160585, + "loss": 0.7371, + "step": 1209 + }, + { + "epoch": 2.646978397593656, + "grad_norm": 0.02203970216214657, + "learning_rate": 0.00039172749391727494, + "loss": 0.6598, + "step": 1210 + }, + { + "epoch": 2.649165983046213, + "grad_norm": 0.027763044461607933, + "learning_rate": 0.00038929440389294404, + "loss": 0.6819, + "step": 1211 + }, + { + "epoch": 2.6513535684987692, + "grad_norm": 0.01537309866398573, + "learning_rate": 0.0003868613138686132, + "loss": 0.8249, + "step": 1212 + }, + { + "epoch": 2.653541153951326, + "grad_norm": 0.01565646007657051, + "learning_rate": 0.0003844282238442823, + "loss": 0.569, + "step": 1213 + }, + { + "epoch": 2.655728739403883, + "grad_norm": 0.01048749778419733, + "learning_rate": 0.0003819951338199513, + "loss": 0.6359, + "step": 1214 + }, + { + "epoch": 2.6579163248564397, + "grad_norm": 0.061209116131067276, + "learning_rate": 0.00037956204379562046, + "loss": 0.7011, + "step": 1215 + }, + { + "epoch": 2.6601039103089965, + "grad_norm": 0.016036316752433777, + "learning_rate": 0.00037712895377128955, + "loss": 0.5889, + "step": 1216 + }, + { + "epoch": 2.6622914957615533, + "grad_norm": 0.014299210160970688, + "learning_rate": 0.00037469586374695864, + "loss": 0.7685, + "step": 1217 + }, + { + "epoch": 2.66447908121411, + "grad_norm": 0.010716800577938557, + "learning_rate": 0.00037226277372262774, + "loss": 0.7795, + "step": 1218 + }, + { + "epoch": 2.6666666666666665, + "grad_norm": 0.007198740262538195, + "learning_rate": 0.0003698296836982969, + "loss": 0.8868, + "step": 1219 + }, + { + "epoch": 2.6688542521192233, + "grad_norm": 0.018458040431141853, + "learning_rate": 0.0003673965936739659, + "loss": 0.6935, + "step": 1220 + }, + { + "epoch": 2.67104183757178, + "grad_norm": 0.011869457550346851, + "learning_rate": 0.00036496350364963507, + "loss": 0.7638, + "step": 1221 + }, + { + "epoch": 2.673229423024337, + "grad_norm": 0.00896628387272358, + "learning_rate": 0.0003625304136253041, + "loss": 0.7615, + "step": 1222 + }, + { + "epoch": 2.675417008476894, + "grad_norm": 0.008536278270184994, + "learning_rate": 0.00036009732360097325, + "loss": 0.6647, + "step": 1223 + }, + { + "epoch": 2.67760459392945, + "grad_norm": 0.02423817664384842, + "learning_rate": 0.00035766423357664234, + "loss": 0.6876, + "step": 1224 + }, + { + "epoch": 2.679792179382007, + "grad_norm": 0.011117582209408283, + "learning_rate": 0.00035523114355231144, + "loss": 0.665, + "step": 1225 + }, + { + "epoch": 2.681979764834564, + "grad_norm": 0.009505179710686207, + "learning_rate": 0.00035279805352798053, + "loss": 0.6284, + "step": 1226 + }, + { + "epoch": 2.6841673502871206, + "grad_norm": 0.0063440497033298016, + "learning_rate": 0.0003503649635036496, + "loss": 0.8279, + "step": 1227 + }, + { + "epoch": 2.6863549357396774, + "grad_norm": 0.0201023630797863, + "learning_rate": 0.00034793187347931877, + "loss": 0.8996, + "step": 1228 + }, + { + "epoch": 2.6885425211922342, + "grad_norm": 0.006452304311096668, + "learning_rate": 0.0003454987834549878, + "loss": 0.8563, + "step": 1229 + }, + { + "epoch": 2.690730106644791, + "grad_norm": 0.00840191449970007, + "learning_rate": 0.00034306569343065695, + "loss": 0.6543, + "step": 1230 + }, + { + "epoch": 2.6929176920973474, + "grad_norm": 0.011340702883899212, + "learning_rate": 0.00034063260340632605, + "loss": 0.733, + "step": 1231 + }, + { + "epoch": 2.6951052775499043, + "grad_norm": 0.01761777698993683, + "learning_rate": 0.00033819951338199514, + "loss": 0.9136, + "step": 1232 + }, + { + "epoch": 2.697292863002461, + "grad_norm": 0.012587963603436947, + "learning_rate": 0.00033576642335766423, + "loss": 0.801, + "step": 1233 + }, + { + "epoch": 2.699480448455018, + "grad_norm": 0.006971995811909437, + "learning_rate": 0.0003333333333333333, + "loss": 0.8079, + "step": 1234 + }, + { + "epoch": 2.7016680339075743, + "grad_norm": 0.00921553373336792, + "learning_rate": 0.0003309002433090024, + "loss": 0.6801, + "step": 1235 + }, + { + "epoch": 2.703855619360131, + "grad_norm": 0.012788954190909863, + "learning_rate": 0.00032846715328467156, + "loss": 0.8119, + "step": 1236 + }, + { + "epoch": 2.706043204812688, + "grad_norm": 0.01745203509926796, + "learning_rate": 0.00032603406326034065, + "loss": 0.808, + "step": 1237 + }, + { + "epoch": 2.7082307902652447, + "grad_norm": 0.010819566436111927, + "learning_rate": 0.00032360097323600975, + "loss": 0.6882, + "step": 1238 + }, + { + "epoch": 2.7104183757178015, + "grad_norm": 0.013807238079607487, + "learning_rate": 0.00032116788321167884, + "loss": 0.5872, + "step": 1239 + }, + { + "epoch": 2.7126059611703583, + "grad_norm": 0.015879668295383453, + "learning_rate": 0.00031873479318734793, + "loss": 0.7541, + "step": 1240 + }, + { + "epoch": 2.714793546622915, + "grad_norm": 0.008229264058172703, + "learning_rate": 0.0003163017031630171, + "loss": 0.8002, + "step": 1241 + }, + { + "epoch": 2.7169811320754715, + "grad_norm": 0.011732214130461216, + "learning_rate": 0.0003138686131386861, + "loss": 0.7049, + "step": 1242 + }, + { + "epoch": 2.7191687175280284, + "grad_norm": 0.008688759990036488, + "learning_rate": 0.00031143552311435526, + "loss": 0.9007, + "step": 1243 + }, + { + "epoch": 2.721356302980585, + "grad_norm": 0.014027293771505356, + "learning_rate": 0.0003090024330900243, + "loss": 0.6098, + "step": 1244 + }, + { + "epoch": 2.723543888433142, + "grad_norm": 0.00831068679690361, + "learning_rate": 0.00030656934306569345, + "loss": 0.7435, + "step": 1245 + }, + { + "epoch": 2.725731473885699, + "grad_norm": 0.017324576154351234, + "learning_rate": 0.00030413625304136254, + "loss": 0.7317, + "step": 1246 + }, + { + "epoch": 2.727919059338255, + "grad_norm": 0.01490398496389389, + "learning_rate": 0.00030170316301703163, + "loss": 0.7434, + "step": 1247 + }, + { + "epoch": 2.730106644790812, + "grad_norm": 0.02181348390877247, + "learning_rate": 0.0002992700729927007, + "loss": 0.7395, + "step": 1248 + }, + { + "epoch": 2.732294230243369, + "grad_norm": 0.017193686217069626, + "learning_rate": 0.0002968369829683698, + "loss": 1.0303, + "step": 1249 + }, + { + "epoch": 2.7344818156959256, + "grad_norm": 0.011623183265328407, + "learning_rate": 0.00029440389294403896, + "loss": 0.5918, + "step": 1250 + }, + { + "epoch": 2.7366694011484825, + "grad_norm": 0.007596330717206001, + "learning_rate": 0.00029197080291970805, + "loss": 0.6441, + "step": 1251 + }, + { + "epoch": 2.7388569866010393, + "grad_norm": 0.022759029641747475, + "learning_rate": 0.00028953771289537715, + "loss": 0.6192, + "step": 1252 + }, + { + "epoch": 2.741044572053596, + "grad_norm": 0.0065732188522815704, + "learning_rate": 0.00028710462287104624, + "loss": 0.73, + "step": 1253 + }, + { + "epoch": 2.7432321575061525, + "grad_norm": 0.009496266953647137, + "learning_rate": 0.00028467153284671533, + "loss": 0.839, + "step": 1254 + }, + { + "epoch": 2.7454197429587093, + "grad_norm": 0.007220600266009569, + "learning_rate": 0.0002822384428223844, + "loss": 0.6448, + "step": 1255 + }, + { + "epoch": 2.747607328411266, + "grad_norm": 0.015215203166007996, + "learning_rate": 0.00027980535279805357, + "loss": 0.7697, + "step": 1256 + }, + { + "epoch": 2.749794913863823, + "grad_norm": 0.015471878461539745, + "learning_rate": 0.0002773722627737226, + "loss": 0.7398, + "step": 1257 + }, + { + "epoch": 2.7519824993163793, + "grad_norm": 0.009130065329372883, + "learning_rate": 0.00027493917274939175, + "loss": 0.6993, + "step": 1258 + }, + { + "epoch": 2.754170084768936, + "grad_norm": 0.007493583485484123, + "learning_rate": 0.0002725060827250608, + "loss": 0.6525, + "step": 1259 + }, + { + "epoch": 2.756357670221493, + "grad_norm": 0.018882576376199722, + "learning_rate": 0.00027007299270072994, + "loss": 0.785, + "step": 1260 + }, + { + "epoch": 2.7585452556740497, + "grad_norm": 0.010290750302374363, + "learning_rate": 0.00026763990267639903, + "loss": 0.6355, + "step": 1261 + }, + { + "epoch": 2.7607328411266066, + "grad_norm": 0.020789271220564842, + "learning_rate": 0.0002652068126520681, + "loss": 0.6681, + "step": 1262 + }, + { + "epoch": 2.7629204265791634, + "grad_norm": 0.010807972401380539, + "learning_rate": 0.00026277372262773727, + "loss": 0.8581, + "step": 1263 + }, + { + "epoch": 2.76510801203172, + "grad_norm": 0.006756063550710678, + "learning_rate": 0.0002603406326034063, + "loss": 0.7499, + "step": 1264 + }, + { + "epoch": 2.767295597484277, + "grad_norm": 0.013115596026182175, + "learning_rate": 0.00025790754257907546, + "loss": 0.6298, + "step": 1265 + }, + { + "epoch": 2.7694831829368334, + "grad_norm": 0.010143927298486233, + "learning_rate": 0.0002554744525547445, + "loss": 0.7911, + "step": 1266 + }, + { + "epoch": 2.77167076838939, + "grad_norm": 0.011593978852033615, + "learning_rate": 0.00025304136253041364, + "loss": 0.6558, + "step": 1267 + }, + { + "epoch": 2.773858353841947, + "grad_norm": 0.011897698044776917, + "learning_rate": 0.00025060827250608273, + "loss": 0.7177, + "step": 1268 + }, + { + "epoch": 2.776045939294504, + "grad_norm": 0.011287844739854336, + "learning_rate": 0.0002481751824817518, + "loss": 0.8625, + "step": 1269 + }, + { + "epoch": 2.77823352474706, + "grad_norm": 0.017498012632131577, + "learning_rate": 0.0002457420924574209, + "loss": 0.896, + "step": 1270 + }, + { + "epoch": 2.780421110199617, + "grad_norm": 0.011069230735301971, + "learning_rate": 0.00024330900243309, + "loss": 0.6567, + "step": 1271 + }, + { + "epoch": 2.782608695652174, + "grad_norm": 0.005669731646776199, + "learning_rate": 0.00024087591240875913, + "loss": 0.7313, + "step": 1272 + }, + { + "epoch": 2.7847962811047307, + "grad_norm": 0.02650737576186657, + "learning_rate": 0.00023844282238442825, + "loss": 0.8647, + "step": 1273 + }, + { + "epoch": 2.7869838665572875, + "grad_norm": 0.010408868081867695, + "learning_rate": 0.0002360097323600973, + "loss": 0.8034, + "step": 1274 + }, + { + "epoch": 2.7891714520098443, + "grad_norm": 0.013187460601329803, + "learning_rate": 0.00023357664233576643, + "loss": 0.8, + "step": 1275 + }, + { + "epoch": 2.791359037462401, + "grad_norm": 0.009964399971067905, + "learning_rate": 0.0002311435523114355, + "loss": 0.8949, + "step": 1276 + }, + { + "epoch": 2.7935466229149575, + "grad_norm": 0.01696036383509636, + "learning_rate": 0.00022871046228710462, + "loss": 0.678, + "step": 1277 + }, + { + "epoch": 2.7957342083675143, + "grad_norm": 0.07283343374729156, + "learning_rate": 0.00022627737226277374, + "loss": 0.7264, + "step": 1278 + }, + { + "epoch": 2.797921793820071, + "grad_norm": 0.007607647217810154, + "learning_rate": 0.00022384428223844283, + "loss": 0.8112, + "step": 1279 + }, + { + "epoch": 2.800109379272628, + "grad_norm": 0.015119451098144054, + "learning_rate": 0.00022141119221411192, + "loss": 0.6995, + "step": 1280 + }, + { + "epoch": 2.8022969647251843, + "grad_norm": 0.013507510535418987, + "learning_rate": 0.00021897810218978101, + "loss": 0.8193, + "step": 1281 + }, + { + "epoch": 2.804484550177741, + "grad_norm": 0.007651912048459053, + "learning_rate": 0.00021654501216545013, + "loss": 0.5999, + "step": 1282 + }, + { + "epoch": 2.806672135630298, + "grad_norm": 0.010115343146026134, + "learning_rate": 0.00021411192214111925, + "loss": 0.7694, + "step": 1283 + }, + { + "epoch": 2.8088597210828548, + "grad_norm": 0.011188814416527748, + "learning_rate": 0.00021167883211678832, + "loss": 0.8099, + "step": 1284 + }, + { + "epoch": 2.8110473065354116, + "grad_norm": 0.007763843517750502, + "learning_rate": 0.00020924574209245744, + "loss": 0.7182, + "step": 1285 + }, + { + "epoch": 2.8132348919879684, + "grad_norm": 0.00900893472135067, + "learning_rate": 0.0002068126520681265, + "loss": 0.6297, + "step": 1286 + }, + { + "epoch": 2.815422477440525, + "grad_norm": 0.006093029864132404, + "learning_rate": 0.00020437956204379562, + "loss": 1.0166, + "step": 1287 + }, + { + "epoch": 2.817610062893082, + "grad_norm": 0.008186981081962585, + "learning_rate": 0.00020194647201946474, + "loss": 0.6606, + "step": 1288 + }, + { + "epoch": 2.8197976483456384, + "grad_norm": 0.011285791173577309, + "learning_rate": 0.0001995133819951338, + "loss": 0.672, + "step": 1289 + }, + { + "epoch": 2.821985233798195, + "grad_norm": 0.011607305146753788, + "learning_rate": 0.00019708029197080293, + "loss": 0.6903, + "step": 1290 + }, + { + "epoch": 2.824172819250752, + "grad_norm": 0.008523947559297085, + "learning_rate": 0.00019464720194647202, + "loss": 0.8383, + "step": 1291 + }, + { + "epoch": 2.826360404703309, + "grad_norm": 0.010200290009379387, + "learning_rate": 0.00019221411192214114, + "loss": 0.7475, + "step": 1292 + }, + { + "epoch": 2.828547990155865, + "grad_norm": 0.01312936469912529, + "learning_rate": 0.00018978102189781023, + "loss": 0.7571, + "step": 1293 + }, + { + "epoch": 2.830735575608422, + "grad_norm": 0.021754464134573936, + "learning_rate": 0.00018734793187347932, + "loss": 0.7915, + "step": 1294 + }, + { + "epoch": 2.832923161060979, + "grad_norm": 0.022569775581359863, + "learning_rate": 0.00018491484184914844, + "loss": 0.7305, + "step": 1295 + }, + { + "epoch": 2.8351107465135357, + "grad_norm": 0.009172527119517326, + "learning_rate": 0.00018248175182481753, + "loss": 0.8616, + "step": 1296 + }, + { + "epoch": 2.8372983319660925, + "grad_norm": 0.00900851096957922, + "learning_rate": 0.00018004866180048663, + "loss": 0.8411, + "step": 1297 + }, + { + "epoch": 2.8394859174186493, + "grad_norm": 0.033786166459321976, + "learning_rate": 0.00017761557177615572, + "loss": 0.6755, + "step": 1298 + }, + { + "epoch": 2.841673502871206, + "grad_norm": 0.006091755349189043, + "learning_rate": 0.0001751824817518248, + "loss": 0.7822, + "step": 1299 + }, + { + "epoch": 2.8438610883237625, + "grad_norm": 0.011280403472483158, + "learning_rate": 0.0001727493917274939, + "loss": 0.8669, + "step": 1300 + }, + { + "epoch": 2.8460486737763193, + "grad_norm": 0.007846282795071602, + "learning_rate": 0.00017031630170316302, + "loss": 0.752, + "step": 1301 + }, + { + "epoch": 2.848236259228876, + "grad_norm": 0.008928561583161354, + "learning_rate": 0.00016788321167883211, + "loss": 0.7062, + "step": 1302 + }, + { + "epoch": 2.850423844681433, + "grad_norm": 0.0234297476708889, + "learning_rate": 0.0001654501216545012, + "loss": 0.7319, + "step": 1303 + }, + { + "epoch": 2.8526114301339898, + "grad_norm": 0.07628759741783142, + "learning_rate": 0.00016301703163017033, + "loss": 0.8256, + "step": 1304 + }, + { + "epoch": 2.854799015586546, + "grad_norm": 0.00962966587394476, + "learning_rate": 0.00016058394160583942, + "loss": 0.825, + "step": 1305 + }, + { + "epoch": 2.856986601039103, + "grad_norm": 0.008182559162378311, + "learning_rate": 0.00015815085158150854, + "loss": 0.7628, + "step": 1306 + }, + { + "epoch": 2.8591741864916598, + "grad_norm": 0.0483902171254158, + "learning_rate": 0.00015571776155717763, + "loss": 0.8631, + "step": 1307 + }, + { + "epoch": 2.8613617719442166, + "grad_norm": 0.01323285885155201, + "learning_rate": 0.00015328467153284672, + "loss": 0.7958, + "step": 1308 + }, + { + "epoch": 2.8635493573967734, + "grad_norm": 0.009712522849440575, + "learning_rate": 0.00015085158150851582, + "loss": 0.6506, + "step": 1309 + }, + { + "epoch": 2.8657369428493302, + "grad_norm": 0.0073866224847733974, + "learning_rate": 0.0001484184914841849, + "loss": 0.5997, + "step": 1310 + }, + { + "epoch": 2.867924528301887, + "grad_norm": 0.009534020908176899, + "learning_rate": 0.00014598540145985403, + "loss": 0.7732, + "step": 1311 + }, + { + "epoch": 2.8701121137544434, + "grad_norm": 0.008029601536691189, + "learning_rate": 0.00014355231143552312, + "loss": 0.7837, + "step": 1312 + }, + { + "epoch": 2.8722996992070002, + "grad_norm": 0.01388575229793787, + "learning_rate": 0.0001411192214111922, + "loss": 0.6959, + "step": 1313 + }, + { + "epoch": 2.874487284659557, + "grad_norm": 0.011830773204565048, + "learning_rate": 0.0001386861313868613, + "loss": 0.7597, + "step": 1314 + }, + { + "epoch": 2.876674870112114, + "grad_norm": 0.013655097223818302, + "learning_rate": 0.0001362530413625304, + "loss": 0.6103, + "step": 1315 + }, + { + "epoch": 2.8788624555646702, + "grad_norm": 0.009793232195079327, + "learning_rate": 0.00013381995133819952, + "loss": 0.7327, + "step": 1316 + }, + { + "epoch": 2.881050041017227, + "grad_norm": 0.009699089452624321, + "learning_rate": 0.00013138686131386864, + "loss": 0.7882, + "step": 1317 + }, + { + "epoch": 2.883237626469784, + "grad_norm": 0.01353220921009779, + "learning_rate": 0.00012895377128953773, + "loss": 0.7567, + "step": 1318 + }, + { + "epoch": 2.8854252119223407, + "grad_norm": 0.012468249537050724, + "learning_rate": 0.00012652068126520682, + "loss": 0.6502, + "step": 1319 + }, + { + "epoch": 2.8876127973748975, + "grad_norm": 0.010982934385538101, + "learning_rate": 0.0001240875912408759, + "loss": 0.6542, + "step": 1320 + }, + { + "epoch": 2.8898003828274543, + "grad_norm": 0.008489643223583698, + "learning_rate": 0.000121654501216545, + "loss": 0.7122, + "step": 1321 + }, + { + "epoch": 2.891987968280011, + "grad_norm": 0.009710462763905525, + "learning_rate": 0.00011922141119221412, + "loss": 0.8059, + "step": 1322 + }, + { + "epoch": 2.8941755537325675, + "grad_norm": 0.008519637398421764, + "learning_rate": 0.00011678832116788322, + "loss": 0.668, + "step": 1323 + }, + { + "epoch": 2.8963631391851243, + "grad_norm": 0.012375866994261742, + "learning_rate": 0.00011435523114355231, + "loss": 0.8298, + "step": 1324 + }, + { + "epoch": 2.898550724637681, + "grad_norm": 0.011852890253067017, + "learning_rate": 0.00011192214111922141, + "loss": 1.0037, + "step": 1325 + }, + { + "epoch": 2.900738310090238, + "grad_norm": 0.01731940545141697, + "learning_rate": 0.00010948905109489051, + "loss": 0.7002, + "step": 1326 + }, + { + "epoch": 2.902925895542795, + "grad_norm": 0.026805153116583824, + "learning_rate": 0.00010705596107055963, + "loss": 0.9983, + "step": 1327 + }, + { + "epoch": 2.905113480995351, + "grad_norm": 0.011630130000412464, + "learning_rate": 0.00010462287104622872, + "loss": 0.575, + "step": 1328 + }, + { + "epoch": 2.907301066447908, + "grad_norm": 0.012041180394589901, + "learning_rate": 0.00010218978102189781, + "loss": 0.6631, + "step": 1329 + }, + { + "epoch": 2.909488651900465, + "grad_norm": 0.009331166744232178, + "learning_rate": 9.97566909975669e-05, + "loss": 0.7661, + "step": 1330 + }, + { + "epoch": 2.9116762373530216, + "grad_norm": 0.010035173036158085, + "learning_rate": 9.732360097323601e-05, + "loss": 0.7367, + "step": 1331 + }, + { + "epoch": 2.9138638228055784, + "grad_norm": 0.0184579249471426, + "learning_rate": 9.489051094890511e-05, + "loss": 0.7267, + "step": 1332 + }, + { + "epoch": 2.9160514082581352, + "grad_norm": 0.019723238423466682, + "learning_rate": 9.245742092457422e-05, + "loss": 0.9285, + "step": 1333 + }, + { + "epoch": 2.918238993710692, + "grad_norm": 0.01119768712669611, + "learning_rate": 9.002433090024331e-05, + "loss": 0.8886, + "step": 1334 + }, + { + "epoch": 2.9204265791632484, + "grad_norm": 0.010187883861362934, + "learning_rate": 8.75912408759124e-05, + "loss": 0.6872, + "step": 1335 + }, + { + "epoch": 2.9226141646158053, + "grad_norm": 0.006695912219583988, + "learning_rate": 8.515815085158151e-05, + "loss": 0.6093, + "step": 1336 + }, + { + "epoch": 2.924801750068362, + "grad_norm": 0.009726252406835556, + "learning_rate": 8.27250608272506e-05, + "loss": 0.735, + "step": 1337 + }, + { + "epoch": 2.926989335520919, + "grad_norm": 0.006968527100980282, + "learning_rate": 8.029197080291971e-05, + "loss": 0.9525, + "step": 1338 + }, + { + "epoch": 2.9291769209734753, + "grad_norm": 0.019444549456238747, + "learning_rate": 7.785888077858882e-05, + "loss": 0.7423, + "step": 1339 + }, + { + "epoch": 2.931364506426032, + "grad_norm": 0.014326276257634163, + "learning_rate": 7.542579075425791e-05, + "loss": 0.7437, + "step": 1340 + }, + { + "epoch": 2.933552091878589, + "grad_norm": 0.008168605156242847, + "learning_rate": 7.299270072992701e-05, + "loss": 0.7014, + "step": 1341 + }, + { + "epoch": 2.9357396773311457, + "grad_norm": 0.010011604055762291, + "learning_rate": 7.05596107055961e-05, + "loss": 0.6541, + "step": 1342 + }, + { + "epoch": 2.9379272627837025, + "grad_norm": 0.013739430345594883, + "learning_rate": 6.81265206812652e-05, + "loss": 0.7885, + "step": 1343 + }, + { + "epoch": 2.9401148482362593, + "grad_norm": 0.01414500456303358, + "learning_rate": 6.569343065693432e-05, + "loss": 0.9111, + "step": 1344 + }, + { + "epoch": 2.942302433688816, + "grad_norm": 0.010208160616457462, + "learning_rate": 6.326034063260341e-05, + "loss": 0.6641, + "step": 1345 + }, + { + "epoch": 2.944490019141373, + "grad_norm": 0.012237477116286755, + "learning_rate": 6.08272506082725e-05, + "loss": 0.6199, + "step": 1346 + }, + { + "epoch": 2.9466776045939294, + "grad_norm": 0.008850525133311749, + "learning_rate": 5.839416058394161e-05, + "loss": 0.8436, + "step": 1347 + }, + { + "epoch": 2.948865190046486, + "grad_norm": 0.01408157218247652, + "learning_rate": 5.596107055961071e-05, + "loss": 0.667, + "step": 1348 + }, + { + "epoch": 2.951052775499043, + "grad_norm": 0.017354557290673256, + "learning_rate": 5.352798053527981e-05, + "loss": 0.7591, + "step": 1349 + }, + { + "epoch": 2.9532403609516, + "grad_norm": 0.013411460444331169, + "learning_rate": 5.1094890510948905e-05, + "loss": 0.8248, + "step": 1350 + }, + { + "epoch": 2.955427946404156, + "grad_norm": 0.018828334286808968, + "learning_rate": 4.8661800486618005e-05, + "loss": 0.8297, + "step": 1351 + }, + { + "epoch": 2.957615531856713, + "grad_norm": 0.012131531722843647, + "learning_rate": 4.622871046228711e-05, + "loss": 0.8469, + "step": 1352 + }, + { + "epoch": 2.95980311730927, + "grad_norm": 0.017933214083313942, + "learning_rate": 4.37956204379562e-05, + "loss": 0.886, + "step": 1353 + }, + { + "epoch": 2.9619907027618266, + "grad_norm": 0.007120661437511444, + "learning_rate": 4.13625304136253e-05, + "loss": 0.7975, + "step": 1354 + }, + { + "epoch": 2.9641782882143834, + "grad_norm": 0.008959448896348476, + "learning_rate": 3.892944038929441e-05, + "loss": 0.7624, + "step": 1355 + }, + { + "epoch": 2.9663658736669403, + "grad_norm": 0.00703001581132412, + "learning_rate": 3.649635036496351e-05, + "loss": 0.9414, + "step": 1356 + }, + { + "epoch": 2.968553459119497, + "grad_norm": 0.009628667496144772, + "learning_rate": 3.40632603406326e-05, + "loss": 0.7348, + "step": 1357 + }, + { + "epoch": 2.9707410445720535, + "grad_norm": 0.010123343206942081, + "learning_rate": 3.1630170316301705e-05, + "loss": 0.5589, + "step": 1358 + }, + { + "epoch": 2.9729286300246103, + "grad_norm": 0.012991656549274921, + "learning_rate": 2.9197080291970804e-05, + "loss": 0.7015, + "step": 1359 + }, + { + "epoch": 2.975116215477167, + "grad_norm": 0.008844063617289066, + "learning_rate": 2.6763990267639907e-05, + "loss": 0.7395, + "step": 1360 + }, + { + "epoch": 2.977303800929724, + "grad_norm": 0.010974117554724216, + "learning_rate": 2.4330900243309002e-05, + "loss": 0.815, + "step": 1361 + }, + { + "epoch": 2.9794913863822803, + "grad_norm": 0.011202923953533173, + "learning_rate": 2.18978102189781e-05, + "loss": 0.7593, + "step": 1362 + }, + { + "epoch": 2.981678971834837, + "grad_norm": 0.011004596017301083, + "learning_rate": 1.9464720194647204e-05, + "loss": 0.6727, + "step": 1363 + }, + { + "epoch": 2.983866557287394, + "grad_norm": 0.009554206393659115, + "learning_rate": 1.70316301703163e-05, + "loss": 0.8229, + "step": 1364 + }, + { + "epoch": 2.9860541427399507, + "grad_norm": 0.013814912177622318, + "learning_rate": 1.4598540145985402e-05, + "loss": 1.0031, + "step": 1365 + }, + { + "epoch": 2.9882417281925076, + "grad_norm": 0.006289259064942598, + "learning_rate": 1.2165450121654501e-05, + "loss": 0.6995, + "step": 1366 + }, + { + "epoch": 2.9904293136450644, + "grad_norm": 0.008405916392803192, + "learning_rate": 9.732360097323602e-06, + "loss": 0.7135, + "step": 1367 + }, + { + "epoch": 2.992616899097621, + "grad_norm": 0.012755095958709717, + "learning_rate": 7.299270072992701e-06, + "loss": 0.8523, + "step": 1368 + }, + { + "epoch": 2.994804484550178, + "grad_norm": 0.011079053394496441, + "learning_rate": 4.866180048661801e-06, + "loss": 0.6673, + "step": 1369 + }, + { + "epoch": 2.9969920700027344, + "grad_norm": 0.011697685346007347, + "learning_rate": 2.4330900243309005e-06, + "loss": 0.7831, + "step": 1370 + }, + { + "epoch": 2.999179655455291, + "grad_norm": 0.0072103943675756454, + "learning_rate": 0.0, + "loss": 0.8479, + "step": 1371 + }, + { + "epoch": 2.999179655455291, + "step": 1371, + "total_flos": 4.3134948379459584e+17, + "train_loss": 0.7785058324133541, + "train_runtime": 1561.6761, + "train_samples_per_second": 14.048, + "train_steps_per_second": 0.878 + } + ], + "logging_steps": 1.0, + "max_steps": 1371, + "num_input_tokens_seen": 0, + "num_train_epochs": 3, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": true + }, + "attributes": {} + } + }, + "total_flos": 4.3134948379459584e+17, + "train_batch_size": 1, + "trial_name": null, + "trial_params": null +}