diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,4662 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.9969742813918305, + "eval_steps": 500, + "global_step": 660, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0030257186081694403, + "grad_norm": 3.358903503622779, + "learning_rate": 3.0303030303030305e-07, + "loss": 0.6935, + "step": 1 + }, + { + "epoch": 0.006051437216338881, + "grad_norm": 3.5063639372306246, + "learning_rate": 6.060606060606061e-07, + "loss": 0.7309, + "step": 2 + }, + { + "epoch": 0.009077155824508321, + "grad_norm": 3.1269881390307646, + "learning_rate": 9.090909090909091e-07, + "loss": 0.6884, + "step": 3 + }, + { + "epoch": 0.012102874432677761, + "grad_norm": 2.947327912090413, + "learning_rate": 1.2121212121212122e-06, + "loss": 0.683, + "step": 4 + }, + { + "epoch": 0.015128593040847202, + "grad_norm": 3.268134572550081, + "learning_rate": 1.5151515151515152e-06, + "loss": 0.6983, + "step": 5 + }, + { + "epoch": 0.018154311649016642, + "grad_norm": 3.011866108346839, + "learning_rate": 1.8181818181818183e-06, + "loss": 0.7007, + "step": 6 + }, + { + "epoch": 0.02118003025718608, + "grad_norm": 2.8137846288470616, + "learning_rate": 2.1212121212121216e-06, + "loss": 0.6752, + "step": 7 + }, + { + "epoch": 0.024205748865355523, + "grad_norm": 2.3371541142642456, + "learning_rate": 2.4242424242424244e-06, + "loss": 0.6601, + "step": 8 + }, + { + "epoch": 0.02723146747352496, + "grad_norm": 1.744358439207291, + "learning_rate": 2.7272727272727272e-06, + "loss": 0.6451, + "step": 9 + }, + { + "epoch": 0.030257186081694403, + "grad_norm": 1.7187270529330076, + "learning_rate": 3.0303030303030305e-06, + "loss": 0.6137, + "step": 10 + }, + { + "epoch": 0.03328290468986384, + "grad_norm": 1.6998099299039993, + "learning_rate": 3.3333333333333333e-06, + "loss": 0.61, + "step": 11 + }, + { + "epoch": 0.036308623298033284, + "grad_norm": 1.8678063012255137, + "learning_rate": 3.6363636363636366e-06, + "loss": 0.6078, + "step": 12 + }, + { + "epoch": 0.039334341906202726, + "grad_norm": 2.7615937623849782, + "learning_rate": 3.93939393939394e-06, + "loss": 0.6343, + "step": 13 + }, + { + "epoch": 0.04236006051437216, + "grad_norm": 2.498693997260535, + "learning_rate": 4.242424242424243e-06, + "loss": 0.5922, + "step": 14 + }, + { + "epoch": 0.0453857791225416, + "grad_norm": 1.7486614414859922, + "learning_rate": 4.5454545454545455e-06, + "loss": 0.5779, + "step": 15 + }, + { + "epoch": 0.048411497730711045, + "grad_norm": 1.4257385964922415, + "learning_rate": 4.848484848484849e-06, + "loss": 0.589, + "step": 16 + }, + { + "epoch": 0.05143721633888049, + "grad_norm": 1.2302239671533277, + "learning_rate": 5.151515151515152e-06, + "loss": 0.5908, + "step": 17 + }, + { + "epoch": 0.05446293494704992, + "grad_norm": 1.341783191173135, + "learning_rate": 5.4545454545454545e-06, + "loss": 0.5733, + "step": 18 + }, + { + "epoch": 0.057488653555219364, + "grad_norm": 1.3128064094363054, + "learning_rate": 5.7575757575757586e-06, + "loss": 0.5502, + "step": 19 + }, + { + "epoch": 0.060514372163388806, + "grad_norm": 1.124976317284653, + "learning_rate": 6.060606060606061e-06, + "loss": 0.5552, + "step": 20 + }, + { + "epoch": 0.06354009077155824, + "grad_norm": 0.9659614723005139, + "learning_rate": 6.363636363636364e-06, + "loss": 0.5412, + "step": 21 + }, + { + "epoch": 0.06656580937972768, + "grad_norm": 1.0882929527746195, + "learning_rate": 6.666666666666667e-06, + "loss": 0.5527, + "step": 22 + }, + { + "epoch": 0.06959152798789713, + "grad_norm": 1.0657597247567514, + "learning_rate": 6.969696969696971e-06, + "loss": 0.5285, + "step": 23 + }, + { + "epoch": 0.07261724659606657, + "grad_norm": 0.9325363310803211, + "learning_rate": 7.272727272727273e-06, + "loss": 0.5339, + "step": 24 + }, + { + "epoch": 0.07564296520423601, + "grad_norm": 1.119414760016029, + "learning_rate": 7.5757575757575764e-06, + "loss": 0.5081, + "step": 25 + }, + { + "epoch": 0.07866868381240545, + "grad_norm": 0.9370849906281571, + "learning_rate": 7.87878787878788e-06, + "loss": 0.531, + "step": 26 + }, + { + "epoch": 0.08169440242057488, + "grad_norm": 0.9000283122767975, + "learning_rate": 8.181818181818183e-06, + "loss": 0.5031, + "step": 27 + }, + { + "epoch": 0.08472012102874432, + "grad_norm": 0.9216104989754456, + "learning_rate": 8.484848484848486e-06, + "loss": 0.514, + "step": 28 + }, + { + "epoch": 0.08774583963691376, + "grad_norm": 0.8807429532113678, + "learning_rate": 8.787878787878788e-06, + "loss": 0.5013, + "step": 29 + }, + { + "epoch": 0.0907715582450832, + "grad_norm": 0.8837899789349609, + "learning_rate": 9.090909090909091e-06, + "loss": 0.5371, + "step": 30 + }, + { + "epoch": 0.09379727685325265, + "grad_norm": 0.9174468024834191, + "learning_rate": 9.393939393939396e-06, + "loss": 0.495, + "step": 31 + }, + { + "epoch": 0.09682299546142209, + "grad_norm": 0.8248883422563089, + "learning_rate": 9.696969696969698e-06, + "loss": 0.4898, + "step": 32 + }, + { + "epoch": 0.09984871406959153, + "grad_norm": 0.918032723036691, + "learning_rate": 1e-05, + "loss": 0.48, + "step": 33 + }, + { + "epoch": 0.10287443267776097, + "grad_norm": 0.8629943417165156, + "learning_rate": 1.0303030303030304e-05, + "loss": 0.5024, + "step": 34 + }, + { + "epoch": 0.1059001512859304, + "grad_norm": 0.8215208217017521, + "learning_rate": 1.0606060606060606e-05, + "loss": 0.5025, + "step": 35 + }, + { + "epoch": 0.10892586989409984, + "grad_norm": 0.7989595969615584, + "learning_rate": 1.0909090909090909e-05, + "loss": 0.5308, + "step": 36 + }, + { + "epoch": 0.11195158850226929, + "grad_norm": 0.9343624002993896, + "learning_rate": 1.1212121212121212e-05, + "loss": 0.5083, + "step": 37 + }, + { + "epoch": 0.11497730711043873, + "grad_norm": 0.831087365031364, + "learning_rate": 1.1515151515151517e-05, + "loss": 0.5012, + "step": 38 + }, + { + "epoch": 0.11800302571860817, + "grad_norm": 0.8300196506066345, + "learning_rate": 1.181818181818182e-05, + "loss": 0.5298, + "step": 39 + }, + { + "epoch": 0.12102874432677761, + "grad_norm": 0.8038149912699781, + "learning_rate": 1.2121212121212122e-05, + "loss": 0.4867, + "step": 40 + }, + { + "epoch": 0.12405446293494705, + "grad_norm": 0.8516373716606729, + "learning_rate": 1.2424242424242425e-05, + "loss": 0.4825, + "step": 41 + }, + { + "epoch": 0.12708018154311648, + "grad_norm": 0.8362523067123567, + "learning_rate": 1.2727272727272728e-05, + "loss": 0.4871, + "step": 42 + }, + { + "epoch": 0.13010590015128592, + "grad_norm": 0.8301018108500916, + "learning_rate": 1.3030303030303032e-05, + "loss": 0.5215, + "step": 43 + }, + { + "epoch": 0.13313161875945537, + "grad_norm": 0.9064145755551212, + "learning_rate": 1.3333333333333333e-05, + "loss": 0.4908, + "step": 44 + }, + { + "epoch": 0.1361573373676248, + "grad_norm": 0.84992269527844, + "learning_rate": 1.3636363636363637e-05, + "loss": 0.507, + "step": 45 + }, + { + "epoch": 0.13918305597579425, + "grad_norm": 0.8569238539110816, + "learning_rate": 1.3939393939393942e-05, + "loss": 0.4796, + "step": 46 + }, + { + "epoch": 0.1422087745839637, + "grad_norm": 0.8728777579863858, + "learning_rate": 1.4242424242424245e-05, + "loss": 0.4789, + "step": 47 + }, + { + "epoch": 0.14523449319213314, + "grad_norm": 0.8158482645673705, + "learning_rate": 1.4545454545454546e-05, + "loss": 0.4832, + "step": 48 + }, + { + "epoch": 0.14826021180030258, + "grad_norm": 0.8749300414713886, + "learning_rate": 1.484848484848485e-05, + "loss": 0.4984, + "step": 49 + }, + { + "epoch": 0.15128593040847202, + "grad_norm": 0.8495540878532758, + "learning_rate": 1.5151515151515153e-05, + "loss": 0.4808, + "step": 50 + }, + { + "epoch": 0.15431164901664146, + "grad_norm": 0.8580659300503024, + "learning_rate": 1.5454545454545454e-05, + "loss": 0.5042, + "step": 51 + }, + { + "epoch": 0.1573373676248109, + "grad_norm": 0.8147826055379925, + "learning_rate": 1.575757575757576e-05, + "loss": 0.4805, + "step": 52 + }, + { + "epoch": 0.16036308623298035, + "grad_norm": 0.8194424529157573, + "learning_rate": 1.606060606060606e-05, + "loss": 0.4757, + "step": 53 + }, + { + "epoch": 0.16338880484114976, + "grad_norm": 0.8231688628355589, + "learning_rate": 1.6363636363636366e-05, + "loss": 0.4765, + "step": 54 + }, + { + "epoch": 0.1664145234493192, + "grad_norm": 0.8043687136450742, + "learning_rate": 1.6666666666666667e-05, + "loss": 0.4716, + "step": 55 + }, + { + "epoch": 0.16944024205748864, + "grad_norm": 0.8711209256194363, + "learning_rate": 1.6969696969696972e-05, + "loss": 0.502, + "step": 56 + }, + { + "epoch": 0.17246596066565809, + "grad_norm": 0.8269147227001572, + "learning_rate": 1.7272727272727274e-05, + "loss": 0.4913, + "step": 57 + }, + { + "epoch": 0.17549167927382753, + "grad_norm": 0.9753662185753652, + "learning_rate": 1.7575757575757576e-05, + "loss": 0.5178, + "step": 58 + }, + { + "epoch": 0.17851739788199697, + "grad_norm": 0.808306187370888, + "learning_rate": 1.787878787878788e-05, + "loss": 0.5037, + "step": 59 + }, + { + "epoch": 0.1815431164901664, + "grad_norm": 0.9458047463888588, + "learning_rate": 1.8181818181818182e-05, + "loss": 0.4973, + "step": 60 + }, + { + "epoch": 0.18456883509833585, + "grad_norm": 0.8933790786017309, + "learning_rate": 1.8484848484848487e-05, + "loss": 0.4916, + "step": 61 + }, + { + "epoch": 0.1875945537065053, + "grad_norm": 1.0517676703707972, + "learning_rate": 1.8787878787878792e-05, + "loss": 0.4898, + "step": 62 + }, + { + "epoch": 0.19062027231467474, + "grad_norm": 0.8588880538685437, + "learning_rate": 1.9090909090909094e-05, + "loss": 0.4824, + "step": 63 + }, + { + "epoch": 0.19364599092284418, + "grad_norm": 0.9027929307849104, + "learning_rate": 1.9393939393939395e-05, + "loss": 0.4888, + "step": 64 + }, + { + "epoch": 0.19667170953101362, + "grad_norm": 0.8708498186840441, + "learning_rate": 1.96969696969697e-05, + "loss": 0.4541, + "step": 65 + }, + { + "epoch": 0.19969742813918306, + "grad_norm": 0.82795888962409, + "learning_rate": 2e-05, + "loss": 0.4514, + "step": 66 + }, + { + "epoch": 0.2027231467473525, + "grad_norm": 0.9106769592828549, + "learning_rate": 1.9999860139251737e-05, + "loss": 0.484, + "step": 67 + }, + { + "epoch": 0.20574886535552195, + "grad_norm": 0.8992908574398459, + "learning_rate": 1.9999440560919153e-05, + "loss": 0.5018, + "step": 68 + }, + { + "epoch": 0.2087745839636914, + "grad_norm": 0.9939430843969495, + "learning_rate": 1.9998741276738753e-05, + "loss": 0.5012, + "step": 69 + }, + { + "epoch": 0.2118003025718608, + "grad_norm": 1.0056796610326768, + "learning_rate": 1.999776230627102e-05, + "loss": 0.4697, + "step": 70 + }, + { + "epoch": 0.21482602118003025, + "grad_norm": 0.9905441079371872, + "learning_rate": 1.9996503676899863e-05, + "loss": 0.485, + "step": 71 + }, + { + "epoch": 0.2178517397881997, + "grad_norm": 0.8580360521841982, + "learning_rate": 1.9994965423831853e-05, + "loss": 0.4543, + "step": 72 + }, + { + "epoch": 0.22087745839636913, + "grad_norm": 1.063644105747375, + "learning_rate": 1.9993147590095232e-05, + "loss": 0.4899, + "step": 73 + }, + { + "epoch": 0.22390317700453857, + "grad_norm": 0.8171913628321056, + "learning_rate": 1.999105022653872e-05, + "loss": 0.4475, + "step": 74 + }, + { + "epoch": 0.22692889561270801, + "grad_norm": 1.027306673388313, + "learning_rate": 1.9988673391830082e-05, + "loss": 0.4855, + "step": 75 + }, + { + "epoch": 0.22995461422087746, + "grad_norm": 0.8366012791277703, + "learning_rate": 1.9986017152454497e-05, + "loss": 0.4741, + "step": 76 + }, + { + "epoch": 0.2329803328290469, + "grad_norm": 0.8758313733718758, + "learning_rate": 1.9983081582712684e-05, + "loss": 0.4757, + "step": 77 + }, + { + "epoch": 0.23600605143721634, + "grad_norm": 0.9451650873205948, + "learning_rate": 1.9979866764718846e-05, + "loss": 0.4667, + "step": 78 + }, + { + "epoch": 0.23903177004538578, + "grad_norm": 0.8221855416739886, + "learning_rate": 1.997637278839835e-05, + "loss": 0.4561, + "step": 79 + }, + { + "epoch": 0.24205748865355523, + "grad_norm": 0.9106025727849811, + "learning_rate": 1.9972599751485225e-05, + "loss": 0.4785, + "step": 80 + }, + { + "epoch": 0.24508320726172467, + "grad_norm": 0.8134299687413309, + "learning_rate": 1.9968547759519426e-05, + "loss": 0.4912, + "step": 81 + }, + { + "epoch": 0.2481089258698941, + "grad_norm": 0.8589900911968243, + "learning_rate": 1.9964216925843876e-05, + "loss": 0.4817, + "step": 82 + }, + { + "epoch": 0.25113464447806355, + "grad_norm": 0.7629197273172208, + "learning_rate": 1.9959607371601303e-05, + "loss": 0.4605, + "step": 83 + }, + { + "epoch": 0.25416036308623297, + "grad_norm": 0.8794074550257445, + "learning_rate": 1.9954719225730847e-05, + "loss": 0.4697, + "step": 84 + }, + { + "epoch": 0.25718608169440244, + "grad_norm": 0.8267675026219957, + "learning_rate": 1.994955262496446e-05, + "loss": 0.5061, + "step": 85 + }, + { + "epoch": 0.26021180030257185, + "grad_norm": 0.7370626071020437, + "learning_rate": 1.9944107713823068e-05, + "loss": 0.4738, + "step": 86 + }, + { + "epoch": 0.2632375189107413, + "grad_norm": 0.8862550784007855, + "learning_rate": 1.9938384644612542e-05, + "loss": 0.4677, + "step": 87 + }, + { + "epoch": 0.26626323751891073, + "grad_norm": 0.7880085848892636, + "learning_rate": 1.9932383577419432e-05, + "loss": 0.4602, + "step": 88 + }, + { + "epoch": 0.2692889561270802, + "grad_norm": 0.7720167650844292, + "learning_rate": 1.9926104680106484e-05, + "loss": 0.466, + "step": 89 + }, + { + "epoch": 0.2723146747352496, + "grad_norm": 0.8132809036181918, + "learning_rate": 1.9919548128307954e-05, + "loss": 0.4868, + "step": 90 + }, + { + "epoch": 0.2753403933434191, + "grad_norm": 0.7548441542977766, + "learning_rate": 1.9912714105424694e-05, + "loss": 0.4757, + "step": 91 + }, + { + "epoch": 0.2783661119515885, + "grad_norm": 0.873844070456468, + "learning_rate": 1.990560280261901e-05, + "loss": 0.4985, + "step": 92 + }, + { + "epoch": 0.2813918305597579, + "grad_norm": 0.7790384331963707, + "learning_rate": 1.989821441880933e-05, + "loss": 0.455, + "step": 93 + }, + { + "epoch": 0.2844175491679274, + "grad_norm": 0.8220180725858576, + "learning_rate": 1.9890549160664633e-05, + "loss": 0.4765, + "step": 94 + }, + { + "epoch": 0.2874432677760968, + "grad_norm": 0.8227062573388644, + "learning_rate": 1.9882607242598663e-05, + "loss": 0.4425, + "step": 95 + }, + { + "epoch": 0.29046898638426627, + "grad_norm": 0.8006137289406916, + "learning_rate": 1.9874388886763944e-05, + "loss": 0.4676, + "step": 96 + }, + { + "epoch": 0.2934947049924357, + "grad_norm": 0.8459316736931013, + "learning_rate": 1.9865894323045558e-05, + "loss": 0.4584, + "step": 97 + }, + { + "epoch": 0.29652042360060515, + "grad_norm": 0.8216941349974185, + "learning_rate": 1.9857123789054707e-05, + "loss": 0.487, + "step": 98 + }, + { + "epoch": 0.29954614220877457, + "grad_norm": 0.8230183728535257, + "learning_rate": 1.9848077530122083e-05, + "loss": 0.4857, + "step": 99 + }, + { + "epoch": 0.30257186081694404, + "grad_norm": 0.8680336677290321, + "learning_rate": 1.9838755799290993e-05, + "loss": 0.4843, + "step": 100 + }, + { + "epoch": 0.30559757942511345, + "grad_norm": 0.780933209179007, + "learning_rate": 1.9829158857310288e-05, + "loss": 0.4593, + "step": 101 + }, + { + "epoch": 0.3086232980332829, + "grad_norm": 0.9618605394879167, + "learning_rate": 1.9819286972627066e-05, + "loss": 0.4716, + "step": 102 + }, + { + "epoch": 0.31164901664145234, + "grad_norm": 0.8555272622015834, + "learning_rate": 1.9809140421379168e-05, + "loss": 0.5048, + "step": 103 + }, + { + "epoch": 0.3146747352496218, + "grad_norm": 0.857462532570035, + "learning_rate": 1.979871948738743e-05, + "loss": 0.4561, + "step": 104 + }, + { + "epoch": 0.3177004538577912, + "grad_norm": 0.8760323994102699, + "learning_rate": 1.978802446214779e-05, + "loss": 0.4659, + "step": 105 + }, + { + "epoch": 0.3207261724659607, + "grad_norm": 0.8893819855687127, + "learning_rate": 1.9777055644823087e-05, + "loss": 0.4717, + "step": 106 + }, + { + "epoch": 0.3237518910741301, + "grad_norm": 0.810565167067035, + "learning_rate": 1.9765813342234726e-05, + "loss": 0.4697, + "step": 107 + }, + { + "epoch": 0.3267776096822995, + "grad_norm": 0.818712206959785, + "learning_rate": 1.9754297868854075e-05, + "loss": 0.4893, + "step": 108 + }, + { + "epoch": 0.329803328290469, + "grad_norm": 0.8296044957119808, + "learning_rate": 1.9742509546793673e-05, + "loss": 0.4449, + "step": 109 + }, + { + "epoch": 0.3328290468986384, + "grad_norm": 0.8293539856942853, + "learning_rate": 1.973044870579824e-05, + "loss": 0.472, + "step": 110 + }, + { + "epoch": 0.3358547655068079, + "grad_norm": 0.8946070837523372, + "learning_rate": 1.9718115683235418e-05, + "loss": 0.4648, + "step": 111 + }, + { + "epoch": 0.3388804841149773, + "grad_norm": 0.8245785921500794, + "learning_rate": 1.970551082408636e-05, + "loss": 0.4629, + "step": 112 + }, + { + "epoch": 0.34190620272314676, + "grad_norm": 0.8720247074427611, + "learning_rate": 1.969263448093608e-05, + "loss": 0.4738, + "step": 113 + }, + { + "epoch": 0.34493192133131617, + "grad_norm": 0.8111615116770333, + "learning_rate": 1.9679487013963566e-05, + "loss": 0.4686, + "step": 114 + }, + { + "epoch": 0.34795763993948564, + "grad_norm": 0.829123782505895, + "learning_rate": 1.9666068790931733e-05, + "loss": 0.4763, + "step": 115 + }, + { + "epoch": 0.35098335854765506, + "grad_norm": 0.742693698395034, + "learning_rate": 1.9652380187177128e-05, + "loss": 0.4742, + "step": 116 + }, + { + "epoch": 0.3540090771558245, + "grad_norm": 0.9138579466095065, + "learning_rate": 1.9638421585599422e-05, + "loss": 0.4861, + "step": 117 + }, + { + "epoch": 0.35703479576399394, + "grad_norm": 0.7618125286929727, + "learning_rate": 1.9624193376650708e-05, + "loss": 0.4597, + "step": 118 + }, + { + "epoch": 0.3600605143721634, + "grad_norm": 0.7846460324399585, + "learning_rate": 1.960969595832457e-05, + "loss": 0.4649, + "step": 119 + }, + { + "epoch": 0.3630862329803328, + "grad_norm": 0.9103160354833503, + "learning_rate": 1.9594929736144978e-05, + "loss": 0.4955, + "step": 120 + }, + { + "epoch": 0.3661119515885023, + "grad_norm": 0.7024255970791149, + "learning_rate": 1.957989512315489e-05, + "loss": 0.4528, + "step": 121 + }, + { + "epoch": 0.3691376701966717, + "grad_norm": 0.719141626265138, + "learning_rate": 1.956459253990476e-05, + "loss": 0.471, + "step": 122 + }, + { + "epoch": 0.3721633888048411, + "grad_norm": 0.7413965117975847, + "learning_rate": 1.9549022414440738e-05, + "loss": 0.4678, + "step": 123 + }, + { + "epoch": 0.3751891074130106, + "grad_norm": 0.7623511436494375, + "learning_rate": 1.9533185182292705e-05, + "loss": 0.494, + "step": 124 + }, + { + "epoch": 0.37821482602118, + "grad_norm": 0.8192532412104406, + "learning_rate": 1.9517081286462082e-05, + "loss": 0.4824, + "step": 125 + }, + { + "epoch": 0.3812405446293495, + "grad_norm": 0.7821121790380317, + "learning_rate": 1.9500711177409456e-05, + "loss": 0.4883, + "step": 126 + }, + { + "epoch": 0.3842662632375189, + "grad_norm": 0.7369827375577566, + "learning_rate": 1.9484075313041968e-05, + "loss": 0.46, + "step": 127 + }, + { + "epoch": 0.38729198184568836, + "grad_norm": 0.7950762467128764, + "learning_rate": 1.9467174158700507e-05, + "loss": 0.4637, + "step": 128 + }, + { + "epoch": 0.3903177004538578, + "grad_norm": 0.7032332887439887, + "learning_rate": 1.9450008187146685e-05, + "loss": 0.4326, + "step": 129 + }, + { + "epoch": 0.39334341906202724, + "grad_norm": 0.7015515074017336, + "learning_rate": 1.9432577878549635e-05, + "loss": 0.4626, + "step": 130 + }, + { + "epoch": 0.39636913767019666, + "grad_norm": 0.7459725280007138, + "learning_rate": 1.9414883720472557e-05, + "loss": 0.4636, + "step": 131 + }, + { + "epoch": 0.39939485627836613, + "grad_norm": 0.7184264021196067, + "learning_rate": 1.9396926207859085e-05, + "loss": 0.4755, + "step": 132 + }, + { + "epoch": 0.40242057488653554, + "grad_norm": 0.7838075490570477, + "learning_rate": 1.937870584301945e-05, + "loss": 0.4702, + "step": 133 + }, + { + "epoch": 0.405446293494705, + "grad_norm": 0.6981040865022858, + "learning_rate": 1.9360223135616423e-05, + "loss": 0.4734, + "step": 134 + }, + { + "epoch": 0.4084720121028744, + "grad_norm": 0.7785782609774682, + "learning_rate": 1.9341478602651068e-05, + "loss": 0.4762, + "step": 135 + }, + { + "epoch": 0.4114977307110439, + "grad_norm": 0.762413597138749, + "learning_rate": 1.932247276844826e-05, + "loss": 0.4517, + "step": 136 + }, + { + "epoch": 0.4145234493192133, + "grad_norm": 0.883903552885111, + "learning_rate": 1.9303206164642037e-05, + "loss": 0.4703, + "step": 137 + }, + { + "epoch": 0.4175491679273828, + "grad_norm": 0.7504771858291742, + "learning_rate": 1.9283679330160726e-05, + "loss": 0.4716, + "step": 138 + }, + { + "epoch": 0.4205748865355522, + "grad_norm": 0.7905849906834912, + "learning_rate": 1.9263892811211865e-05, + "loss": 0.4697, + "step": 139 + }, + { + "epoch": 0.4236006051437216, + "grad_norm": 0.697499288922316, + "learning_rate": 1.9243847161266924e-05, + "loss": 0.4622, + "step": 140 + }, + { + "epoch": 0.4266263237518911, + "grad_norm": 0.7266406231134691, + "learning_rate": 1.9223542941045817e-05, + "loss": 0.4831, + "step": 141 + }, + { + "epoch": 0.4296520423600605, + "grad_norm": 0.6982518727757717, + "learning_rate": 1.920298071850123e-05, + "loss": 0.4716, + "step": 142 + }, + { + "epoch": 0.43267776096822996, + "grad_norm": 0.7180051454976318, + "learning_rate": 1.9182161068802742e-05, + "loss": 0.446, + "step": 143 + }, + { + "epoch": 0.4357034795763994, + "grad_norm": 0.7611324134235183, + "learning_rate": 1.9161084574320696e-05, + "loss": 0.4631, + "step": 144 + }, + { + "epoch": 0.43872919818456885, + "grad_norm": 0.7988063737057203, + "learning_rate": 1.913975182460996e-05, + "loss": 0.4662, + "step": 145 + }, + { + "epoch": 0.44175491679273826, + "grad_norm": 0.7576110772957355, + "learning_rate": 1.9118163416393392e-05, + "loss": 0.456, + "step": 146 + }, + { + "epoch": 0.44478063540090773, + "grad_norm": 0.7689042984144674, + "learning_rate": 1.9096319953545186e-05, + "loss": 0.4663, + "step": 147 + }, + { + "epoch": 0.44780635400907715, + "grad_norm": 0.8300153202219698, + "learning_rate": 1.9074222047073945e-05, + "loss": 0.4888, + "step": 148 + }, + { + "epoch": 0.4508320726172466, + "grad_norm": 0.7994613182471897, + "learning_rate": 1.9051870315105626e-05, + "loss": 0.4782, + "step": 149 + }, + { + "epoch": 0.45385779122541603, + "grad_norm": 0.7346142441373021, + "learning_rate": 1.9029265382866216e-05, + "loss": 0.4649, + "step": 150 + }, + { + "epoch": 0.4568835098335855, + "grad_norm": 0.7793555826895348, + "learning_rate": 1.9006407882664256e-05, + "loss": 0.4587, + "step": 151 + }, + { + "epoch": 0.4599092284417549, + "grad_norm": 0.757630065243434, + "learning_rate": 1.8983298453873172e-05, + "loss": 0.4543, + "step": 152 + }, + { + "epoch": 0.4629349470499244, + "grad_norm": 0.7759476466694162, + "learning_rate": 1.895993774291336e-05, + "loss": 0.4526, + "step": 153 + }, + { + "epoch": 0.4659606656580938, + "grad_norm": 0.7366949817844008, + "learning_rate": 1.8936326403234125e-05, + "loss": 0.4395, + "step": 154 + }, + { + "epoch": 0.4689863842662632, + "grad_norm": 0.7842959862474166, + "learning_rate": 1.891246509529539e-05, + "loss": 0.4589, + "step": 155 + }, + { + "epoch": 0.4720121028744327, + "grad_norm": 0.8275035789506462, + "learning_rate": 1.8888354486549238e-05, + "loss": 0.4687, + "step": 156 + }, + { + "epoch": 0.4750378214826021, + "grad_norm": 0.7428741153441927, + "learning_rate": 1.886399525142122e-05, + "loss": 0.4623, + "step": 157 + }, + { + "epoch": 0.47806354009077157, + "grad_norm": 0.6975230564015793, + "learning_rate": 1.8839388071291506e-05, + "loss": 0.4537, + "step": 158 + }, + { + "epoch": 0.481089258698941, + "grad_norm": 0.8863302388845787, + "learning_rate": 1.881453363447582e-05, + "loss": 0.48, + "step": 159 + }, + { + "epoch": 0.48411497730711045, + "grad_norm": 0.8188116455006954, + "learning_rate": 1.8789432636206197e-05, + "loss": 0.4371, + "step": 160 + }, + { + "epoch": 0.48714069591527986, + "grad_norm": 1.0431889369209262, + "learning_rate": 1.8764085778611507e-05, + "loss": 0.4785, + "step": 161 + }, + { + "epoch": 0.49016641452344933, + "grad_norm": 0.8323027897084916, + "learning_rate": 1.873849377069785e-05, + "loss": 0.4254, + "step": 162 + }, + { + "epoch": 0.49319213313161875, + "grad_norm": 0.7357041311065454, + "learning_rate": 1.87126573283287e-05, + "loss": 0.465, + "step": 163 + }, + { + "epoch": 0.4962178517397882, + "grad_norm": 0.8213721702512096, + "learning_rate": 1.8686577174204887e-05, + "loss": 0.4648, + "step": 164 + }, + { + "epoch": 0.49924357034795763, + "grad_norm": 0.7511718902108496, + "learning_rate": 1.866025403784439e-05, + "loss": 0.4581, + "step": 165 + }, + { + "epoch": 0.5022692889561271, + "grad_norm": 0.7830863985467533, + "learning_rate": 1.863368865556191e-05, + "loss": 0.4362, + "step": 166 + }, + { + "epoch": 0.5052950075642966, + "grad_norm": 0.7838699611914278, + "learning_rate": 1.8606881770448305e-05, + "loss": 0.4485, + "step": 167 + }, + { + "epoch": 0.5083207261724659, + "grad_norm": 0.7067732706867824, + "learning_rate": 1.8579834132349773e-05, + "loss": 0.4522, + "step": 168 + }, + { + "epoch": 0.5113464447806354, + "grad_norm": 0.7347151759611356, + "learning_rate": 1.8552546497846893e-05, + "loss": 0.4648, + "step": 169 + }, + { + "epoch": 0.5143721633888049, + "grad_norm": 0.7854615286544776, + "learning_rate": 1.8525019630233463e-05, + "loss": 0.478, + "step": 170 + }, + { + "epoch": 0.5173978819969742, + "grad_norm": 0.811805664858501, + "learning_rate": 1.8497254299495147e-05, + "loss": 0.4513, + "step": 171 + }, + { + "epoch": 0.5204236006051437, + "grad_norm": 0.8092043507479699, + "learning_rate": 1.8469251282287925e-05, + "loss": 0.4553, + "step": 172 + }, + { + "epoch": 0.5234493192133132, + "grad_norm": 0.7635611795185742, + "learning_rate": 1.8441011361916387e-05, + "loss": 0.432, + "step": 173 + }, + { + "epoch": 0.5264750378214826, + "grad_norm": 0.7828891723654822, + "learning_rate": 1.8412535328311813e-05, + "loss": 0.4561, + "step": 174 + }, + { + "epoch": 0.529500756429652, + "grad_norm": 0.7409306015997089, + "learning_rate": 1.8383823978010077e-05, + "loss": 0.468, + "step": 175 + }, + { + "epoch": 0.5325264750378215, + "grad_norm": 0.7018121933564729, + "learning_rate": 1.8354878114129368e-05, + "loss": 0.4185, + "step": 176 + }, + { + "epoch": 0.5355521936459909, + "grad_norm": 0.8266076780626332, + "learning_rate": 1.8325698546347714e-05, + "loss": 0.4709, + "step": 177 + }, + { + "epoch": 0.5385779122541604, + "grad_norm": 0.6591294960646518, + "learning_rate": 1.8296286090880362e-05, + "loss": 0.4533, + "step": 178 + }, + { + "epoch": 0.5416036308623298, + "grad_norm": 0.7078356269660392, + "learning_rate": 1.8266641570456915e-05, + "loss": 0.4448, + "step": 179 + }, + { + "epoch": 0.5446293494704992, + "grad_norm": 0.817753383001364, + "learning_rate": 1.8236765814298328e-05, + "loss": 0.4673, + "step": 180 + }, + { + "epoch": 0.5476550680786687, + "grad_norm": 0.6809452005274031, + "learning_rate": 1.820665965809373e-05, + "loss": 0.4461, + "step": 181 + }, + { + "epoch": 0.5506807866868382, + "grad_norm": 0.8009495859449322, + "learning_rate": 1.8176323943977034e-05, + "loss": 0.4596, + "step": 182 + }, + { + "epoch": 0.5537065052950075, + "grad_norm": 0.7702461608206619, + "learning_rate": 1.814575952050336e-05, + "loss": 0.4551, + "step": 183 + }, + { + "epoch": 0.556732223903177, + "grad_norm": 0.7171091688358944, + "learning_rate": 1.8114967242625342e-05, + "loss": 0.4416, + "step": 184 + }, + { + "epoch": 0.5597579425113465, + "grad_norm": 0.7547808208629214, + "learning_rate": 1.808394797166919e-05, + "loss": 0.455, + "step": 185 + }, + { + "epoch": 0.5627836611195158, + "grad_norm": 0.6995781007600418, + "learning_rate": 1.8052702575310588e-05, + "loss": 0.4112, + "step": 186 + }, + { + "epoch": 0.5658093797276853, + "grad_norm": 0.6791543598470571, + "learning_rate": 1.802123192755044e-05, + "loss": 0.4589, + "step": 187 + }, + { + "epoch": 0.5688350983358548, + "grad_norm": 0.6822257313758064, + "learning_rate": 1.7989536908690413e-05, + "loss": 0.4246, + "step": 188 + }, + { + "epoch": 0.5718608169440242, + "grad_norm": 0.7108923113826412, + "learning_rate": 1.7957618405308323e-05, + "loss": 0.4595, + "step": 189 + }, + { + "epoch": 0.5748865355521936, + "grad_norm": 0.6715754622939644, + "learning_rate": 1.792547731023332e-05, + "loss": 0.4359, + "step": 190 + }, + { + "epoch": 0.5779122541603631, + "grad_norm": 0.7483900041836276, + "learning_rate": 1.789311452252092e-05, + "loss": 0.4317, + "step": 191 + }, + { + "epoch": 0.5809379727685325, + "grad_norm": 0.6559211129569412, + "learning_rate": 1.7860530947427878e-05, + "loss": 0.428, + "step": 192 + }, + { + "epoch": 0.583963691376702, + "grad_norm": 0.7498483198300888, + "learning_rate": 1.782772749638682e-05, + "loss": 0.4396, + "step": 193 + }, + { + "epoch": 0.5869894099848714, + "grad_norm": 0.7261572085745052, + "learning_rate": 1.779470508698079e-05, + "loss": 0.4459, + "step": 194 + }, + { + "epoch": 0.5900151285930408, + "grad_norm": 0.68417422187413, + "learning_rate": 1.776146464291757e-05, + "loss": 0.4547, + "step": 195 + }, + { + "epoch": 0.5930408472012103, + "grad_norm": 0.9098586530450239, + "learning_rate": 1.772800709400383e-05, + "loss": 0.4668, + "step": 196 + }, + { + "epoch": 0.5960665658093798, + "grad_norm": 0.6835230209105819, + "learning_rate": 1.7694333376119144e-05, + "loss": 0.4394, + "step": 197 + }, + { + "epoch": 0.5990922844175491, + "grad_norm": 0.7139844991790444, + "learning_rate": 1.766044443118978e-05, + "loss": 0.4353, + "step": 198 + }, + { + "epoch": 0.6021180030257186, + "grad_norm": 0.7358365428820365, + "learning_rate": 1.762634120716238e-05, + "loss": 0.4508, + "step": 199 + }, + { + "epoch": 0.6051437216338881, + "grad_norm": 0.7470529595718728, + "learning_rate": 1.7592024657977432e-05, + "loss": 0.4621, + "step": 200 + }, + { + "epoch": 0.6081694402420574, + "grad_norm": 0.7354941376536519, + "learning_rate": 1.7557495743542586e-05, + "loss": 0.4576, + "step": 201 + }, + { + "epoch": 0.6111951588502269, + "grad_norm": 0.6606531554067385, + "learning_rate": 1.75227554297058e-05, + "loss": 0.4474, + "step": 202 + }, + { + "epoch": 0.6142208774583964, + "grad_norm": 0.7438339283567555, + "learning_rate": 1.7487804688228327e-05, + "loss": 0.4589, + "step": 203 + }, + { + "epoch": 0.6172465960665658, + "grad_norm": 0.7233436809095257, + "learning_rate": 1.745264449675755e-05, + "loss": 0.4466, + "step": 204 + }, + { + "epoch": 0.6202723146747352, + "grad_norm": 0.7562342960832917, + "learning_rate": 1.7417275838799596e-05, + "loss": 0.4284, + "step": 205 + }, + { + "epoch": 0.6232980332829047, + "grad_norm": 0.7445287901045745, + "learning_rate": 1.7381699703691866e-05, + "loss": 0.4387, + "step": 206 + }, + { + "epoch": 0.6263237518910741, + "grad_norm": 0.6685219998755701, + "learning_rate": 1.734591708657533e-05, + "loss": 0.4424, + "step": 207 + }, + { + "epoch": 0.6293494704992436, + "grad_norm": 0.8094338061467683, + "learning_rate": 1.730992898836672e-05, + "loss": 0.4197, + "step": 208 + }, + { + "epoch": 0.632375189107413, + "grad_norm": 0.6917012603341961, + "learning_rate": 1.7273736415730488e-05, + "loss": 0.4196, + "step": 209 + }, + { + "epoch": 0.6354009077155824, + "grad_norm": 0.6964829835770192, + "learning_rate": 1.72373403810507e-05, + "loss": 0.4651, + "step": 210 + }, + { + "epoch": 0.6384266263237519, + "grad_norm": 0.7299484668574695, + "learning_rate": 1.720074190240269e-05, + "loss": 0.4627, + "step": 211 + }, + { + "epoch": 0.6414523449319214, + "grad_norm": 0.8129849864727091, + "learning_rate": 1.7163942003524574e-05, + "loss": 0.4632, + "step": 212 + }, + { + "epoch": 0.6444780635400907, + "grad_norm": 0.6901953476875087, + "learning_rate": 1.7126941713788633e-05, + "loss": 0.4655, + "step": 213 + }, + { + "epoch": 0.6475037821482602, + "grad_norm": 0.7710949736813608, + "learning_rate": 1.70897420681725e-05, + "loss": 0.4489, + "step": 214 + }, + { + "epoch": 0.6505295007564297, + "grad_norm": 0.759779475845942, + "learning_rate": 1.7052344107230244e-05, + "loss": 0.4239, + "step": 215 + }, + { + "epoch": 0.653555219364599, + "grad_norm": 0.6800112378430497, + "learning_rate": 1.7014748877063212e-05, + "loss": 0.4406, + "step": 216 + }, + { + "epoch": 0.6565809379727685, + "grad_norm": 0.7260252600535401, + "learning_rate": 1.697695742929082e-05, + "loss": 0.4274, + "step": 217 + }, + { + "epoch": 0.659606656580938, + "grad_norm": 0.6851972963367694, + "learning_rate": 1.693897082102109e-05, + "loss": 0.445, + "step": 218 + }, + { + "epoch": 0.6626323751891074, + "grad_norm": 0.6922864829628721, + "learning_rate": 1.6900790114821122e-05, + "loss": 0.4339, + "step": 219 + }, + { + "epoch": 0.6656580937972768, + "grad_norm": 0.6838273380953748, + "learning_rate": 1.686241637868734e-05, + "loss": 0.4299, + "step": 220 + }, + { + "epoch": 0.6686838124054463, + "grad_norm": 0.6666222230582197, + "learning_rate": 1.682385068601563e-05, + "loss": 0.4277, + "step": 221 + }, + { + "epoch": 0.6717095310136157, + "grad_norm": 0.6861891016235512, + "learning_rate": 1.6785094115571323e-05, + "loss": 0.4359, + "step": 222 + }, + { + "epoch": 0.6747352496217852, + "grad_norm": 0.6430334216987789, + "learning_rate": 1.674614775145901e-05, + "loss": 0.4491, + "step": 223 + }, + { + "epoch": 0.6777609682299546, + "grad_norm": 0.7558287215693491, + "learning_rate": 1.670701268309221e-05, + "loss": 0.4357, + "step": 224 + }, + { + "epoch": 0.680786686838124, + "grad_norm": 0.6846126109159144, + "learning_rate": 1.666769000516292e-05, + "loss": 0.438, + "step": 225 + }, + { + "epoch": 0.6838124054462935, + "grad_norm": 0.6783694052381922, + "learning_rate": 1.6628180817610963e-05, + "loss": 0.4358, + "step": 226 + }, + { + "epoch": 0.686838124054463, + "grad_norm": 0.6343536188557328, + "learning_rate": 1.658848622559325e-05, + "loss": 0.4261, + "step": 227 + }, + { + "epoch": 0.6898638426626323, + "grad_norm": 0.692714785176548, + "learning_rate": 1.6548607339452853e-05, + "loss": 0.4335, + "step": 228 + }, + { + "epoch": 0.6928895612708018, + "grad_norm": 0.6838465322959223, + "learning_rate": 1.6508545274687936e-05, + "loss": 0.4662, + "step": 229 + }, + { + "epoch": 0.6959152798789713, + "grad_norm": 0.7709133282439078, + "learning_rate": 1.6468301151920576e-05, + "loss": 0.4592, + "step": 230 + }, + { + "epoch": 0.6989409984871406, + "grad_norm": 0.7303716400868033, + "learning_rate": 1.6427876096865394e-05, + "loss": 0.4583, + "step": 231 + }, + { + "epoch": 0.7019667170953101, + "grad_norm": 0.7075182734275599, + "learning_rate": 1.6387271240298082e-05, + "loss": 0.4469, + "step": 232 + }, + { + "epoch": 0.7049924357034796, + "grad_norm": 0.6806726926709522, + "learning_rate": 1.6346487718023762e-05, + "loss": 0.4486, + "step": 233 + }, + { + "epoch": 0.708018154311649, + "grad_norm": 0.8071647089816777, + "learning_rate": 1.6305526670845225e-05, + "loss": 0.4466, + "step": 234 + }, + { + "epoch": 0.7110438729198184, + "grad_norm": 0.6841872940747591, + "learning_rate": 1.6264389244531015e-05, + "loss": 0.4191, + "step": 235 + }, + { + "epoch": 0.7140695915279879, + "grad_norm": 0.7255147128090308, + "learning_rate": 1.6223076589783368e-05, + "loss": 0.4469, + "step": 236 + }, + { + "epoch": 0.7170953101361573, + "grad_norm": 0.6760300637222975, + "learning_rate": 1.6181589862206053e-05, + "loss": 0.45, + "step": 237 + }, + { + "epoch": 0.7201210287443268, + "grad_norm": 0.7516819427216905, + "learning_rate": 1.613993022227202e-05, + "loss": 0.4794, + "step": 238 + }, + { + "epoch": 0.7231467473524962, + "grad_norm": 0.6482084244542433, + "learning_rate": 1.6098098835290955e-05, + "loss": 0.411, + "step": 239 + }, + { + "epoch": 0.7261724659606656, + "grad_norm": 0.6706220210571906, + "learning_rate": 1.6056096871376667e-05, + "loss": 0.4165, + "step": 240 + }, + { + "epoch": 0.7291981845688351, + "grad_norm": 0.62750227803536, + "learning_rate": 1.6013925505414386e-05, + "loss": 0.4519, + "step": 241 + }, + { + "epoch": 0.7322239031770046, + "grad_norm": 0.6938349360688127, + "learning_rate": 1.5971585917027864e-05, + "loss": 0.455, + "step": 242 + }, + { + "epoch": 0.735249621785174, + "grad_norm": 0.6438605493563357, + "learning_rate": 1.5929079290546408e-05, + "loss": 0.4417, + "step": 243 + }, + { + "epoch": 0.7382753403933434, + "grad_norm": 0.6546848990085946, + "learning_rate": 1.5886406814971728e-05, + "loss": 0.4361, + "step": 244 + }, + { + "epoch": 0.7413010590015129, + "grad_norm": 0.6654561082164658, + "learning_rate": 1.584356968394471e-05, + "loss": 0.4404, + "step": 245 + }, + { + "epoch": 0.7443267776096822, + "grad_norm": 0.6747761424852499, + "learning_rate": 1.5800569095711983e-05, + "loss": 0.479, + "step": 246 + }, + { + "epoch": 0.7473524962178517, + "grad_norm": 0.7128832058142237, + "learning_rate": 1.575740625309244e-05, + "loss": 0.4833, + "step": 247 + }, + { + "epoch": 0.7503782148260212, + "grad_norm": 0.6932132894866826, + "learning_rate": 1.5714082363443576e-05, + "loss": 0.4355, + "step": 248 + }, + { + "epoch": 0.7534039334341907, + "grad_norm": 0.6784406781411693, + "learning_rate": 1.5670598638627707e-05, + "loss": 0.4405, + "step": 249 + }, + { + "epoch": 0.75642965204236, + "grad_norm": 0.8049009537047013, + "learning_rate": 1.5626956294978103e-05, + "loss": 0.4304, + "step": 250 + }, + { + "epoch": 0.7594553706505295, + "grad_norm": 0.6565209709041235, + "learning_rate": 1.5583156553264923e-05, + "loss": 0.4249, + "step": 251 + }, + { + "epoch": 0.762481089258699, + "grad_norm": 0.7060538693156467, + "learning_rate": 1.5539200638661106e-05, + "loss": 0.4331, + "step": 252 + }, + { + "epoch": 0.7655068078668684, + "grad_norm": 0.6594637202074092, + "learning_rate": 1.5495089780708062e-05, + "loss": 0.4656, + "step": 253 + }, + { + "epoch": 0.7685325264750378, + "grad_norm": 0.6492245696335491, + "learning_rate": 1.5450825213281317e-05, + "loss": 0.4408, + "step": 254 + }, + { + "epoch": 0.7715582450832073, + "grad_norm": 0.7146619758404833, + "learning_rate": 1.5406408174555978e-05, + "loss": 0.4447, + "step": 255 + }, + { + "epoch": 0.7745839636913767, + "grad_norm": 0.6802192145150913, + "learning_rate": 1.5361839906972095e-05, + "loss": 0.4207, + "step": 256 + }, + { + "epoch": 0.7776096822995462, + "grad_norm": 0.6477324163610039, + "learning_rate": 1.531712165719992e-05, + "loss": 0.4272, + "step": 257 + }, + { + "epoch": 0.7806354009077155, + "grad_norm": 0.7007414628953769, + "learning_rate": 1.5272254676105026e-05, + "loss": 0.4262, + "step": 258 + }, + { + "epoch": 0.783661119515885, + "grad_norm": 0.7480537080753717, + "learning_rate": 1.5227240218713326e-05, + "loss": 0.4201, + "step": 259 + }, + { + "epoch": 0.7866868381240545, + "grad_norm": 0.7399559812338484, + "learning_rate": 1.5182079544175957e-05, + "loss": 0.4487, + "step": 260 + }, + { + "epoch": 0.789712556732224, + "grad_norm": 0.7423765663368893, + "learning_rate": 1.5136773915734067e-05, + "loss": 0.4563, + "step": 261 + }, + { + "epoch": 0.7927382753403933, + "grad_norm": 0.8351812798856272, + "learning_rate": 1.5091324600683472e-05, + "loss": 0.4222, + "step": 262 + }, + { + "epoch": 0.7957639939485628, + "grad_norm": 0.7476607105922448, + "learning_rate": 1.5045732870339213e-05, + "loss": 0.407, + "step": 263 + }, + { + "epoch": 0.7987897125567323, + "grad_norm": 0.7981297998206225, + "learning_rate": 1.5000000000000002e-05, + "loss": 0.4326, + "step": 264 + }, + { + "epoch": 0.8018154311649016, + "grad_norm": 0.672888066077888, + "learning_rate": 1.4954127268912525e-05, + "loss": 0.4338, + "step": 265 + }, + { + "epoch": 0.8048411497730711, + "grad_norm": 0.7803635783977652, + "learning_rate": 1.4908115960235683e-05, + "loss": 0.4517, + "step": 266 + }, + { + "epoch": 0.8078668683812406, + "grad_norm": 0.7031879749878815, + "learning_rate": 1.4861967361004687e-05, + "loss": 0.4338, + "step": 267 + }, + { + "epoch": 0.81089258698941, + "grad_norm": 0.715013159009515, + "learning_rate": 1.4815682762095065e-05, + "loss": 0.4209, + "step": 268 + }, + { + "epoch": 0.8139183055975794, + "grad_norm": 0.7797280200660578, + "learning_rate": 1.476926345818654e-05, + "loss": 0.4346, + "step": 269 + }, + { + "epoch": 0.8169440242057489, + "grad_norm": 0.694571773969691, + "learning_rate": 1.472271074772683e-05, + "loss": 0.4486, + "step": 270 + }, + { + "epoch": 0.8199697428139183, + "grad_norm": 0.7020198537210197, + "learning_rate": 1.4676025932895315e-05, + "loss": 0.4248, + "step": 271 + }, + { + "epoch": 0.8229954614220878, + "grad_norm": 0.6656882137292681, + "learning_rate": 1.4629210319566626e-05, + "loss": 0.417, + "step": 272 + }, + { + "epoch": 0.8260211800302572, + "grad_norm": 0.73752943617317, + "learning_rate": 1.4582265217274105e-05, + "loss": 0.452, + "step": 273 + }, + { + "epoch": 0.8290468986384266, + "grad_norm": 0.764935105653744, + "learning_rate": 1.4535191939173179e-05, + "loss": 0.4359, + "step": 274 + }, + { + "epoch": 0.8320726172465961, + "grad_norm": 0.7452431337704103, + "learning_rate": 1.4487991802004625e-05, + "loss": 0.4227, + "step": 275 + }, + { + "epoch": 0.8350983358547656, + "grad_norm": 0.7101847495276776, + "learning_rate": 1.4440666126057743e-05, + "loss": 0.448, + "step": 276 + }, + { + "epoch": 0.8381240544629349, + "grad_norm": 0.6782936021146847, + "learning_rate": 1.4393216235133427e-05, + "loss": 0.4223, + "step": 277 + }, + { + "epoch": 0.8411497730711044, + "grad_norm": 0.6303020107959759, + "learning_rate": 1.4345643456507126e-05, + "loss": 0.4224, + "step": 278 + }, + { + "epoch": 0.8441754916792739, + "grad_norm": 0.6959024500065606, + "learning_rate": 1.4297949120891718e-05, + "loss": 0.4219, + "step": 279 + }, + { + "epoch": 0.8472012102874432, + "grad_norm": 0.7368866945713921, + "learning_rate": 1.4250134562400301e-05, + "loss": 0.4406, + "step": 280 + }, + { + "epoch": 0.8502269288956127, + "grad_norm": 0.6870842987157477, + "learning_rate": 1.4202201118508863e-05, + "loss": 0.4321, + "step": 281 + }, + { + "epoch": 0.8532526475037822, + "grad_norm": 0.6548357987856502, + "learning_rate": 1.4154150130018867e-05, + "loss": 0.4479, + "step": 282 + }, + { + "epoch": 0.8562783661119516, + "grad_norm": 0.8204352912545081, + "learning_rate": 1.4105982941019751e-05, + "loss": 0.4633, + "step": 283 + }, + { + "epoch": 0.859304084720121, + "grad_norm": 0.6705117121393153, + "learning_rate": 1.405770089885134e-05, + "loss": 0.4423, + "step": 284 + }, + { + "epoch": 0.8623298033282905, + "grad_norm": 0.6888988642431481, + "learning_rate": 1.4009305354066138e-05, + "loss": 0.4504, + "step": 285 + }, + { + "epoch": 0.8653555219364599, + "grad_norm": 0.7134148077697842, + "learning_rate": 1.396079766039157e-05, + "loss": 0.432, + "step": 286 + }, + { + "epoch": 0.8683812405446294, + "grad_norm": 0.6972684365248931, + "learning_rate": 1.39121791746921e-05, + "loss": 0.4369, + "step": 287 + }, + { + "epoch": 0.8714069591527988, + "grad_norm": 0.6805757667219268, + "learning_rate": 1.3863451256931286e-05, + "loss": 0.4241, + "step": 288 + }, + { + "epoch": 0.8744326777609682, + "grad_norm": 0.6185350276575406, + "learning_rate": 1.381461527013374e-05, + "loss": 0.4304, + "step": 289 + }, + { + "epoch": 0.8774583963691377, + "grad_norm": 0.6752976430741092, + "learning_rate": 1.3765672580346986e-05, + "loss": 0.4469, + "step": 290 + }, + { + "epoch": 0.8804841149773072, + "grad_norm": 0.6482604038138498, + "learning_rate": 1.3716624556603275e-05, + "loss": 0.4372, + "step": 291 + }, + { + "epoch": 0.8835098335854765, + "grad_norm": 0.6759477715046991, + "learning_rate": 1.3667472570881264e-05, + "loss": 0.4314, + "step": 292 + }, + { + "epoch": 0.886535552193646, + "grad_norm": 0.687342851665812, + "learning_rate": 1.361821799806765e-05, + "loss": 0.449, + "step": 293 + }, + { + "epoch": 0.8895612708018155, + "grad_norm": 0.655230481382388, + "learning_rate": 1.356886221591872e-05, + "loss": 0.4209, + "step": 294 + }, + { + "epoch": 0.8925869894099848, + "grad_norm": 0.6974488493390012, + "learning_rate": 1.3519406605021797e-05, + "loss": 0.4197, + "step": 295 + }, + { + "epoch": 0.8956127080181543, + "grad_norm": 0.6785437704538648, + "learning_rate": 1.3469852548756626e-05, + "loss": 0.4096, + "step": 296 + }, + { + "epoch": 0.8986384266263238, + "grad_norm": 0.6996948683770292, + "learning_rate": 1.342020143325669e-05, + "loss": 0.4367, + "step": 297 + }, + { + "epoch": 0.9016641452344932, + "grad_norm": 0.6905847312262905, + "learning_rate": 1.3370454647370418e-05, + "loss": 0.4383, + "step": 298 + }, + { + "epoch": 0.9046898638426626, + "grad_norm": 0.7597820037006757, + "learning_rate": 1.3320613582622354e-05, + "loss": 0.4331, + "step": 299 + }, + { + "epoch": 0.9077155824508321, + "grad_norm": 0.7173217980697716, + "learning_rate": 1.3270679633174219e-05, + "loss": 0.4425, + "step": 300 + }, + { + "epoch": 0.9107413010590015, + "grad_norm": 0.693162599811502, + "learning_rate": 1.3220654195785917e-05, + "loss": 0.4411, + "step": 301 + }, + { + "epoch": 0.913767019667171, + "grad_norm": 0.6623825943040622, + "learning_rate": 1.3170538669776469e-05, + "loss": 0.4502, + "step": 302 + }, + { + "epoch": 0.9167927382753404, + "grad_norm": 0.6722065439974294, + "learning_rate": 1.3120334456984871e-05, + "loss": 0.439, + "step": 303 + }, + { + "epoch": 0.9198184568835098, + "grad_norm": 0.6711978992101368, + "learning_rate": 1.3070042961730878e-05, + "loss": 0.4569, + "step": 304 + }, + { + "epoch": 0.9228441754916793, + "grad_norm": 0.6449197691861885, + "learning_rate": 1.3019665590775717e-05, + "loss": 0.4026, + "step": 305 + }, + { + "epoch": 0.9258698940998488, + "grad_norm": 0.6982296231766343, + "learning_rate": 1.296920375328275e-05, + "loss": 0.4496, + "step": 306 + }, + { + "epoch": 0.9288956127080181, + "grad_norm": 0.6706891989118168, + "learning_rate": 1.2918658860778046e-05, + "loss": 0.4426, + "step": 307 + }, + { + "epoch": 0.9319213313161876, + "grad_norm": 0.6194598753200853, + "learning_rate": 1.2868032327110904e-05, + "loss": 0.4398, + "step": 308 + }, + { + "epoch": 0.9349470499243571, + "grad_norm": 0.7165602160837774, + "learning_rate": 1.2817325568414299e-05, + "loss": 0.4481, + "step": 309 + }, + { + "epoch": 0.9379727685325264, + "grad_norm": 0.6547280219687268, + "learning_rate": 1.2766540003065272e-05, + "loss": 0.4099, + "step": 310 + }, + { + "epoch": 0.9409984871406959, + "grad_norm": 0.6463476225178856, + "learning_rate": 1.2715677051645259e-05, + "loss": 0.4302, + "step": 311 + }, + { + "epoch": 0.9440242057488654, + "grad_norm": 0.6546983782285888, + "learning_rate": 1.266473813690035e-05, + "loss": 0.4208, + "step": 312 + }, + { + "epoch": 0.9470499243570348, + "grad_norm": 0.661133123550163, + "learning_rate": 1.2613724683701491e-05, + "loss": 0.4364, + "step": 313 + }, + { + "epoch": 0.9500756429652042, + "grad_norm": 0.6754180092797379, + "learning_rate": 1.2562638119004627e-05, + "loss": 0.4354, + "step": 314 + }, + { + "epoch": 0.9531013615733737, + "grad_norm": 0.6485054930795479, + "learning_rate": 1.2511479871810792e-05, + "loss": 0.4351, + "step": 315 + }, + { + "epoch": 0.9561270801815431, + "grad_norm": 0.6237028521587126, + "learning_rate": 1.2460251373126136e-05, + "loss": 0.4016, + "step": 316 + }, + { + "epoch": 0.9591527987897126, + "grad_norm": 0.6676481815521184, + "learning_rate": 1.2408954055921884e-05, + "loss": 0.4156, + "step": 317 + }, + { + "epoch": 0.962178517397882, + "grad_norm": 0.637960151579325, + "learning_rate": 1.2357589355094275e-05, + "loss": 0.4307, + "step": 318 + }, + { + "epoch": 0.9652042360060514, + "grad_norm": 0.6288918158623275, + "learning_rate": 1.2306158707424402e-05, + "loss": 0.434, + "step": 319 + }, + { + "epoch": 0.9682299546142209, + "grad_norm": 0.6237168140295379, + "learning_rate": 1.2254663551538047e-05, + "loss": 0.4057, + "step": 320 + }, + { + "epoch": 0.9712556732223904, + "grad_norm": 0.6611806264020932, + "learning_rate": 1.2203105327865407e-05, + "loss": 0.4368, + "step": 321 + }, + { + "epoch": 0.9742813918305597, + "grad_norm": 0.7084213383898972, + "learning_rate": 1.215148547860084e-05, + "loss": 0.4428, + "step": 322 + }, + { + "epoch": 0.9773071104387292, + "grad_norm": 0.6002665028145985, + "learning_rate": 1.2099805447662485e-05, + "loss": 0.4091, + "step": 323 + }, + { + "epoch": 0.9803328290468987, + "grad_norm": 0.7205269897149169, + "learning_rate": 1.2048066680651908e-05, + "loss": 0.4351, + "step": 324 + }, + { + "epoch": 0.983358547655068, + "grad_norm": 0.6463182787353039, + "learning_rate": 1.1996270624813642e-05, + "loss": 0.4304, + "step": 325 + }, + { + "epoch": 0.9863842662632375, + "grad_norm": 0.6260562127950716, + "learning_rate": 1.194441872899471e-05, + "loss": 0.4166, + "step": 326 + }, + { + "epoch": 0.989409984871407, + "grad_norm": 0.6604756794227935, + "learning_rate": 1.1892512443604103e-05, + "loss": 0.4198, + "step": 327 + }, + { + "epoch": 0.9924357034795764, + "grad_norm": 0.6559884730669646, + "learning_rate": 1.1840553220572204e-05, + "loss": 0.4334, + "step": 328 + }, + { + "epoch": 0.9954614220877458, + "grad_norm": 0.6858847420272857, + "learning_rate": 1.1788542513310178e-05, + "loss": 0.4527, + "step": 329 + }, + { + "epoch": 0.9984871406959153, + "grad_norm": 0.6719129552455189, + "learning_rate": 1.1736481776669307e-05, + "loss": 0.4409, + "step": 330 + }, + { + "epoch": 1.0015128593040847, + "grad_norm": 0.7262530687293057, + "learning_rate": 1.1684372466900306e-05, + "loss": 0.3556, + "step": 331 + }, + { + "epoch": 1.0045385779122542, + "grad_norm": 0.7968672113046898, + "learning_rate": 1.1632216041612595e-05, + "loss": 0.3336, + "step": 332 + }, + { + "epoch": 1.0075642965204237, + "grad_norm": 0.6900610853798496, + "learning_rate": 1.15800139597335e-05, + "loss": 0.3163, + "step": 333 + }, + { + "epoch": 1.0105900151285931, + "grad_norm": 0.7364639967329726, + "learning_rate": 1.1527767681467472e-05, + "loss": 0.3448, + "step": 334 + }, + { + "epoch": 1.0136157337367624, + "grad_norm": 0.7732014594365083, + "learning_rate": 1.1475478668255223e-05, + "loss": 0.331, + "step": 335 + }, + { + "epoch": 1.0166414523449319, + "grad_norm": 0.7647623548968051, + "learning_rate": 1.1423148382732854e-05, + "loss": 0.3272, + "step": 336 + }, + { + "epoch": 1.0196671709531013, + "grad_norm": 0.7950928882446775, + "learning_rate": 1.1370778288690947e-05, + "loss": 0.3171, + "step": 337 + }, + { + "epoch": 1.0226928895612708, + "grad_norm": 0.7391709793393973, + "learning_rate": 1.1318369851033604e-05, + "loss": 0.3178, + "step": 338 + }, + { + "epoch": 1.0257186081694403, + "grad_norm": 0.7022773968818528, + "learning_rate": 1.1265924535737494e-05, + "loss": 0.3143, + "step": 339 + }, + { + "epoch": 1.0287443267776097, + "grad_norm": 0.7202916725215083, + "learning_rate": 1.121344380981082e-05, + "loss": 0.3308, + "step": 340 + }, + { + "epoch": 1.0317700453857792, + "grad_norm": 0.715387529260772, + "learning_rate": 1.1160929141252303e-05, + "loss": 0.3185, + "step": 341 + }, + { + "epoch": 1.0347957639939485, + "grad_norm": 0.6872302654807241, + "learning_rate": 1.1108381999010111e-05, + "loss": 0.3231, + "step": 342 + }, + { + "epoch": 1.037821482602118, + "grad_norm": 0.7194165765259868, + "learning_rate": 1.1055803852940772e-05, + "loss": 0.3096, + "step": 343 + }, + { + "epoch": 1.0408472012102874, + "grad_norm": 0.799163388561769, + "learning_rate": 1.1003196173768051e-05, + "loss": 0.3113, + "step": 344 + }, + { + "epoch": 1.0438729198184569, + "grad_norm": 0.7700008249732281, + "learning_rate": 1.0950560433041825e-05, + "loss": 0.3204, + "step": 345 + }, + { + "epoch": 1.0468986384266263, + "grad_norm": 0.703182700563467, + "learning_rate": 1.0897898103096917e-05, + "loss": 0.3155, + "step": 346 + }, + { + "epoch": 1.0499243570347958, + "grad_norm": 0.8152346663470018, + "learning_rate": 1.0845210657011893e-05, + "loss": 0.3155, + "step": 347 + }, + { + "epoch": 1.0529500756429653, + "grad_norm": 0.79714613294084, + "learning_rate": 1.0792499568567885e-05, + "loss": 0.3227, + "step": 348 + }, + { + "epoch": 1.0559757942511347, + "grad_norm": 0.7021941653022749, + "learning_rate": 1.0739766312207344e-05, + "loss": 0.295, + "step": 349 + }, + { + "epoch": 1.059001512859304, + "grad_norm": 0.7739754375945985, + "learning_rate": 1.068701236299281e-05, + "loss": 0.3115, + "step": 350 + }, + { + "epoch": 1.0620272314674735, + "grad_norm": 0.7510361254989544, + "learning_rate": 1.0634239196565646e-05, + "loss": 0.3148, + "step": 351 + }, + { + "epoch": 1.065052950075643, + "grad_norm": 0.6877848901484659, + "learning_rate": 1.0581448289104759e-05, + "loss": 0.322, + "step": 352 + }, + { + "epoch": 1.0680786686838124, + "grad_norm": 0.7160464969987019, + "learning_rate": 1.0528641117285315e-05, + "loss": 0.3264, + "step": 353 + }, + { + "epoch": 1.0711043872919819, + "grad_norm": 0.7401904760232914, + "learning_rate": 1.0475819158237426e-05, + "loss": 0.3058, + "step": 354 + }, + { + "epoch": 1.0741301059001513, + "grad_norm": 0.6936383653336038, + "learning_rate": 1.0422983889504831e-05, + "loss": 0.3332, + "step": 355 + }, + { + "epoch": 1.0771558245083208, + "grad_norm": 0.6424315598816408, + "learning_rate": 1.0370136789003582e-05, + "loss": 0.3148, + "step": 356 + }, + { + "epoch": 1.08018154311649, + "grad_norm": 0.7111719524106394, + "learning_rate": 1.031727933498068e-05, + "loss": 0.2944, + "step": 357 + }, + { + "epoch": 1.0832072617246595, + "grad_norm": 0.7281332268543419, + "learning_rate": 1.0264413005972736e-05, + "loss": 0.3218, + "step": 358 + }, + { + "epoch": 1.086232980332829, + "grad_norm": 0.7167829877698014, + "learning_rate": 1.0211539280764617e-05, + "loss": 0.3306, + "step": 359 + }, + { + "epoch": 1.0892586989409985, + "grad_norm": 0.7043686241393845, + "learning_rate": 1.015865963834808e-05, + "loss": 0.3132, + "step": 360 + }, + { + "epoch": 1.092284417549168, + "grad_norm": 0.7461197274093918, + "learning_rate": 1.0105775557880398e-05, + "loss": 0.3278, + "step": 361 + }, + { + "epoch": 1.0953101361573374, + "grad_norm": 0.6826953355418991, + "learning_rate": 1.0052888518642978e-05, + "loss": 0.3351, + "step": 362 + }, + { + "epoch": 1.0983358547655069, + "grad_norm": 0.663814092870161, + "learning_rate": 1e-05, + "loss": 0.3264, + "step": 363 + }, + { + "epoch": 1.1013615733736764, + "grad_norm": 0.6813285859760182, + "learning_rate": 9.947111481357023e-06, + "loss": 0.3195, + "step": 364 + }, + { + "epoch": 1.1043872919818456, + "grad_norm": 0.6824253349101854, + "learning_rate": 9.894224442119606e-06, + "loss": 0.3113, + "step": 365 + }, + { + "epoch": 1.107413010590015, + "grad_norm": 0.6368467666924027, + "learning_rate": 9.841340361651921e-06, + "loss": 0.2981, + "step": 366 + }, + { + "epoch": 1.1104387291981845, + "grad_norm": 0.6825400287568142, + "learning_rate": 9.788460719235386e-06, + "loss": 0.3161, + "step": 367 + }, + { + "epoch": 1.113464447806354, + "grad_norm": 0.7288708577073899, + "learning_rate": 9.735586994027267e-06, + "loss": 0.308, + "step": 368 + }, + { + "epoch": 1.1164901664145235, + "grad_norm": 0.7256911237447484, + "learning_rate": 9.682720665019325e-06, + "loss": 0.3336, + "step": 369 + }, + { + "epoch": 1.119515885022693, + "grad_norm": 0.7058134111732722, + "learning_rate": 9.62986321099642e-06, + "loss": 0.293, + "step": 370 + }, + { + "epoch": 1.1225416036308624, + "grad_norm": 0.7427408580707284, + "learning_rate": 9.57701611049517e-06, + "loss": 0.3148, + "step": 371 + }, + { + "epoch": 1.1255673222390317, + "grad_norm": 0.6820957812192625, + "learning_rate": 9.524180841762577e-06, + "loss": 0.3184, + "step": 372 + }, + { + "epoch": 1.1285930408472011, + "grad_norm": 0.6960891257699695, + "learning_rate": 9.471358882714687e-06, + "loss": 0.3095, + "step": 373 + }, + { + "epoch": 1.1316187594553706, + "grad_norm": 0.6831919253918003, + "learning_rate": 9.418551710895243e-06, + "loss": 0.3183, + "step": 374 + }, + { + "epoch": 1.13464447806354, + "grad_norm": 0.7388574500633844, + "learning_rate": 9.365760803434356e-06, + "loss": 0.3245, + "step": 375 + }, + { + "epoch": 1.1376701966717095, + "grad_norm": 0.647737800699679, + "learning_rate": 9.312987637007191e-06, + "loss": 0.3242, + "step": 376 + }, + { + "epoch": 1.140695915279879, + "grad_norm": 0.7241581086104397, + "learning_rate": 9.260233687792657e-06, + "loss": 0.3088, + "step": 377 + }, + { + "epoch": 1.1437216338880485, + "grad_norm": 0.7557061037748217, + "learning_rate": 9.207500431432115e-06, + "loss": 0.3244, + "step": 378 + }, + { + "epoch": 1.146747352496218, + "grad_norm": 0.6828078617976184, + "learning_rate": 9.154789342988108e-06, + "loss": 0.3134, + "step": 379 + }, + { + "epoch": 1.1497730711043872, + "grad_norm": 0.7332988299590398, + "learning_rate": 9.102101896903084e-06, + "loss": 0.3686, + "step": 380 + }, + { + "epoch": 1.1527987897125567, + "grad_norm": 0.6979464834627723, + "learning_rate": 9.049439566958176e-06, + "loss": 0.3188, + "step": 381 + }, + { + "epoch": 1.1558245083207261, + "grad_norm": 0.7106560542047523, + "learning_rate": 8.99680382623195e-06, + "loss": 0.3246, + "step": 382 + }, + { + "epoch": 1.1588502269288956, + "grad_norm": 0.6872156148204189, + "learning_rate": 8.944196147059233e-06, + "loss": 0.3032, + "step": 383 + }, + { + "epoch": 1.161875945537065, + "grad_norm": 0.6613978546714764, + "learning_rate": 8.89161800098989e-06, + "loss": 0.3124, + "step": 384 + }, + { + "epoch": 1.1649016641452345, + "grad_norm": 0.679241745423513, + "learning_rate": 8.839070858747697e-06, + "loss": 0.3233, + "step": 385 + }, + { + "epoch": 1.167927382753404, + "grad_norm": 0.6514803026818173, + "learning_rate": 8.786556190189183e-06, + "loss": 0.3053, + "step": 386 + }, + { + "epoch": 1.1709531013615733, + "grad_norm": 0.6405176230081969, + "learning_rate": 8.734075464262507e-06, + "loss": 0.3035, + "step": 387 + }, + { + "epoch": 1.1739788199697427, + "grad_norm": 0.6880876839961159, + "learning_rate": 8.681630148966397e-06, + "loss": 0.3139, + "step": 388 + }, + { + "epoch": 1.1770045385779122, + "grad_norm": 0.6746230891167312, + "learning_rate": 8.629221711309056e-06, + "loss": 0.3128, + "step": 389 + }, + { + "epoch": 1.1800302571860817, + "grad_norm": 0.698997950794735, + "learning_rate": 8.576851617267151e-06, + "loss": 0.3049, + "step": 390 + }, + { + "epoch": 1.1830559757942511, + "grad_norm": 0.6828382447364983, + "learning_rate": 8.52452133174478e-06, + "loss": 0.3009, + "step": 391 + }, + { + "epoch": 1.1860816944024206, + "grad_norm": 0.6696998529376159, + "learning_rate": 8.472232318532531e-06, + "loss": 0.3139, + "step": 392 + }, + { + "epoch": 1.18910741301059, + "grad_norm": 0.6589448546347255, + "learning_rate": 8.419986040266502e-06, + "loss": 0.308, + "step": 393 + }, + { + "epoch": 1.1921331316187596, + "grad_norm": 0.718526971463632, + "learning_rate": 8.367783958387407e-06, + "loss": 0.3186, + "step": 394 + }, + { + "epoch": 1.1951588502269288, + "grad_norm": 0.7785989254141792, + "learning_rate": 8.315627533099697e-06, + "loss": 0.3122, + "step": 395 + }, + { + "epoch": 1.1981845688350983, + "grad_norm": 0.6909281773118381, + "learning_rate": 8.263518223330698e-06, + "loss": 0.3158, + "step": 396 + }, + { + "epoch": 1.2012102874432677, + "grad_norm": 0.7135177629484016, + "learning_rate": 8.211457486689829e-06, + "loss": 0.302, + "step": 397 + }, + { + "epoch": 1.2042360060514372, + "grad_norm": 0.6983258072463356, + "learning_rate": 8.159446779427798e-06, + "loss": 0.3215, + "step": 398 + }, + { + "epoch": 1.2072617246596067, + "grad_norm": 0.6778050659127854, + "learning_rate": 8.107487556395902e-06, + "loss": 0.2958, + "step": 399 + }, + { + "epoch": 1.2102874432677762, + "grad_norm": 0.6832072129899623, + "learning_rate": 8.055581271005292e-06, + "loss": 0.3159, + "step": 400 + }, + { + "epoch": 1.2133131618759456, + "grad_norm": 0.6806295041277401, + "learning_rate": 8.00372937518636e-06, + "loss": 0.3254, + "step": 401 + }, + { + "epoch": 1.2163388804841149, + "grad_norm": 0.7280828222860471, + "learning_rate": 7.951933319348095e-06, + "loss": 0.3054, + "step": 402 + }, + { + "epoch": 1.2193645990922843, + "grad_norm": 0.6912293134161487, + "learning_rate": 7.900194552337516e-06, + "loss": 0.3074, + "step": 403 + }, + { + "epoch": 1.2223903177004538, + "grad_norm": 0.697830340394813, + "learning_rate": 7.848514521399167e-06, + "loss": 0.3297, + "step": 404 + }, + { + "epoch": 1.2254160363086233, + "grad_norm": 0.7345822677117155, + "learning_rate": 7.796894672134594e-06, + "loss": 0.3104, + "step": 405 + }, + { + "epoch": 1.2284417549167927, + "grad_norm": 0.6499257105838526, + "learning_rate": 7.745336448461958e-06, + "loss": 0.3019, + "step": 406 + }, + { + "epoch": 1.2314674735249622, + "grad_norm": 0.6417943784053904, + "learning_rate": 7.6938412925756e-06, + "loss": 0.3009, + "step": 407 + }, + { + "epoch": 1.2344931921331317, + "grad_norm": 0.6827260570895584, + "learning_rate": 7.642410644905726e-06, + "loss": 0.3105, + "step": 408 + }, + { + "epoch": 1.2375189107413012, + "grad_norm": 0.6723440712234344, + "learning_rate": 7.591045944078119e-06, + "loss": 0.2949, + "step": 409 + }, + { + "epoch": 1.2405446293494704, + "grad_norm": 0.7026795050959833, + "learning_rate": 7.539748626873866e-06, + "loss": 0.3173, + "step": 410 + }, + { + "epoch": 1.2435703479576399, + "grad_norm": 0.7280336058297115, + "learning_rate": 7.488520128189209e-06, + "loss": 0.324, + "step": 411 + }, + { + "epoch": 1.2465960665658093, + "grad_norm": 0.6693367666967789, + "learning_rate": 7.4373618809953755e-06, + "loss": 0.3086, + "step": 412 + }, + { + "epoch": 1.2496217851739788, + "grad_norm": 0.765703570369978, + "learning_rate": 7.386275316298513e-06, + "loss": 0.3109, + "step": 413 + }, + { + "epoch": 1.2526475037821483, + "grad_norm": 0.6746263148761398, + "learning_rate": 7.335261863099652e-06, + "loss": 0.3107, + "step": 414 + }, + { + "epoch": 1.2556732223903178, + "grad_norm": 0.6763673302936497, + "learning_rate": 7.2843229483547405e-06, + "loss": 0.3119, + "step": 415 + }, + { + "epoch": 1.258698940998487, + "grad_norm": 0.6722862904731066, + "learning_rate": 7.233459996934731e-06, + "loss": 0.3202, + "step": 416 + }, + { + "epoch": 1.2617246596066565, + "grad_norm": 0.6929456567837121, + "learning_rate": 7.182674431585703e-06, + "loss": 0.3156, + "step": 417 + }, + { + "epoch": 1.264750378214826, + "grad_norm": 0.682514385896229, + "learning_rate": 7.131967672889101e-06, + "loss": 0.3125, + "step": 418 + }, + { + "epoch": 1.2677760968229954, + "grad_norm": 0.6817720805292462, + "learning_rate": 7.081341139221955e-06, + "loss": 0.3112, + "step": 419 + }, + { + "epoch": 1.2708018154311649, + "grad_norm": 0.7017364558136979, + "learning_rate": 7.0307962467172555e-06, + "loss": 0.3229, + "step": 420 + }, + { + "epoch": 1.2738275340393344, + "grad_norm": 0.7701194367917028, + "learning_rate": 6.9803344092242855e-06, + "loss": 0.3089, + "step": 421 + }, + { + "epoch": 1.2768532526475038, + "grad_norm": 0.6768742920553953, + "learning_rate": 6.929957038269123e-06, + "loss": 0.3242, + "step": 422 + }, + { + "epoch": 1.2798789712556733, + "grad_norm": 0.7181233997891775, + "learning_rate": 6.87966554301513e-06, + "loss": 0.3187, + "step": 423 + }, + { + "epoch": 1.2829046898638428, + "grad_norm": 0.6814022550097022, + "learning_rate": 6.8294613302235325e-06, + "loss": 0.2909, + "step": 424 + }, + { + "epoch": 1.2859304084720122, + "grad_norm": 0.6522973970800071, + "learning_rate": 6.779345804214088e-06, + "loss": 0.3053, + "step": 425 + }, + { + "epoch": 1.2889561270801815, + "grad_norm": 0.6524669125822076, + "learning_rate": 6.729320366825785e-06, + "loss": 0.3146, + "step": 426 + }, + { + "epoch": 1.291981845688351, + "grad_norm": 0.6730524269288886, + "learning_rate": 6.679386417377649e-06, + "loss": 0.307, + "step": 427 + }, + { + "epoch": 1.2950075642965204, + "grad_norm": 0.6862720326881726, + "learning_rate": 6.629545352629583e-06, + "loss": 0.3178, + "step": 428 + }, + { + "epoch": 1.29803328290469, + "grad_norm": 0.6417114513263497, + "learning_rate": 6.579798566743314e-06, + "loss": 0.3036, + "step": 429 + }, + { + "epoch": 1.3010590015128594, + "grad_norm": 0.686578356423533, + "learning_rate": 6.530147451243377e-06, + "loss": 0.3228, + "step": 430 + }, + { + "epoch": 1.3040847201210286, + "grad_norm": 0.7238395617135582, + "learning_rate": 6.480593394978208e-06, + "loss": 0.3361, + "step": 431 + }, + { + "epoch": 1.307110438729198, + "grad_norm": 0.6935865496171066, + "learning_rate": 6.431137784081283e-06, + "loss": 0.3223, + "step": 432 + }, + { + "epoch": 1.3101361573373675, + "grad_norm": 0.6922978891862255, + "learning_rate": 6.381782001932352e-06, + "loss": 0.3124, + "step": 433 + }, + { + "epoch": 1.313161875945537, + "grad_norm": 0.700639328118445, + "learning_rate": 6.33252742911874e-06, + "loss": 0.3181, + "step": 434 + }, + { + "epoch": 1.3161875945537065, + "grad_norm": 0.6718661365965126, + "learning_rate": 6.283375443396726e-06, + "loss": 0.3175, + "step": 435 + }, + { + "epoch": 1.319213313161876, + "grad_norm": 0.6749155774565817, + "learning_rate": 6.234327419653013e-06, + "loss": 0.3207, + "step": 436 + }, + { + "epoch": 1.3222390317700454, + "grad_norm": 0.6829124087674162, + "learning_rate": 6.185384729866264e-06, + "loss": 0.321, + "step": 437 + }, + { + "epoch": 1.325264750378215, + "grad_norm": 0.7189049735452304, + "learning_rate": 6.136548743068713e-06, + "loss": 0.3288, + "step": 438 + }, + { + "epoch": 1.3282904689863844, + "grad_norm": 0.7070594110707562, + "learning_rate": 6.087820825307904e-06, + "loss": 0.3069, + "step": 439 + }, + { + "epoch": 1.3313161875945538, + "grad_norm": 0.6769305819801745, + "learning_rate": 6.039202339608432e-06, + "loss": 0.3016, + "step": 440 + }, + { + "epoch": 1.334341906202723, + "grad_norm": 0.7103237758937772, + "learning_rate": 5.990694645933866e-06, + "loss": 0.3043, + "step": 441 + }, + { + "epoch": 1.3373676248108926, + "grad_norm": 0.6752308859031007, + "learning_rate": 5.9422991011486635e-06, + "loss": 0.2913, + "step": 442 + }, + { + "epoch": 1.340393343419062, + "grad_norm": 0.6718779279777802, + "learning_rate": 5.894017058980249e-06, + "loss": 0.2961, + "step": 443 + }, + { + "epoch": 1.3434190620272315, + "grad_norm": 0.7122155264240934, + "learning_rate": 5.845849869981137e-06, + "loss": 0.3125, + "step": 444 + }, + { + "epoch": 1.346444780635401, + "grad_norm": 0.6862327375795727, + "learning_rate": 5.797798881491138e-06, + "loss": 0.3149, + "step": 445 + }, + { + "epoch": 1.3494704992435702, + "grad_norm": 0.7237746149991097, + "learning_rate": 5.749865437599703e-06, + "loss": 0.3128, + "step": 446 + }, + { + "epoch": 1.3524962178517397, + "grad_norm": 0.6851938510540085, + "learning_rate": 5.702050879108284e-06, + "loss": 0.3113, + "step": 447 + }, + { + "epoch": 1.3555219364599091, + "grad_norm": 0.6891024543922183, + "learning_rate": 5.654356543492883e-06, + "loss": 0.3112, + "step": 448 + }, + { + "epoch": 1.3585476550680786, + "grad_norm": 0.6894515672476024, + "learning_rate": 5.606783764866576e-06, + "loss": 0.2889, + "step": 449 + }, + { + "epoch": 1.361573373676248, + "grad_norm": 0.6972574031902232, + "learning_rate": 5.559333873942259e-06, + "loss": 0.2949, + "step": 450 + }, + { + "epoch": 1.3645990922844176, + "grad_norm": 0.6874701064793067, + "learning_rate": 5.512008197995379e-06, + "loss": 0.3153, + "step": 451 + }, + { + "epoch": 1.367624810892587, + "grad_norm": 0.6510551090306331, + "learning_rate": 5.464808060826825e-06, + "loss": 0.3001, + "step": 452 + }, + { + "epoch": 1.3706505295007565, + "grad_norm": 0.6867315857557044, + "learning_rate": 5.417734782725896e-06, + "loss": 0.3016, + "step": 453 + }, + { + "epoch": 1.373676248108926, + "grad_norm": 0.7243897898828381, + "learning_rate": 5.370789680433376e-06, + "loss": 0.3062, + "step": 454 + }, + { + "epoch": 1.3767019667170954, + "grad_norm": 0.7155641678656941, + "learning_rate": 5.323974067104687e-06, + "loss": 0.3058, + "step": 455 + }, + { + "epoch": 1.3797276853252647, + "grad_norm": 0.667280453323827, + "learning_rate": 5.277289252273175e-06, + "loss": 0.304, + "step": 456 + }, + { + "epoch": 1.3827534039334342, + "grad_norm": 0.6855716867653064, + "learning_rate": 5.230736541813463e-06, + "loss": 0.3085, + "step": 457 + }, + { + "epoch": 1.3857791225416036, + "grad_norm": 0.7455195636977527, + "learning_rate": 5.184317237904939e-06, + "loss": 0.3086, + "step": 458 + }, + { + "epoch": 1.388804841149773, + "grad_norm": 0.7093427918089195, + "learning_rate": 5.138032638995315e-06, + "loss": 0.3136, + "step": 459 + }, + { + "epoch": 1.3918305597579426, + "grad_norm": 0.7012291911637151, + "learning_rate": 5.091884039764321e-06, + "loss": 0.2948, + "step": 460 + }, + { + "epoch": 1.394856278366112, + "grad_norm": 0.6862435033017892, + "learning_rate": 5.045872731087479e-06, + "loss": 0.3063, + "step": 461 + }, + { + "epoch": 1.3978819969742813, + "grad_norm": 0.6977783048569086, + "learning_rate": 5.000000000000003e-06, + "loss": 0.3259, + "step": 462 + }, + { + "epoch": 1.4009077155824508, + "grad_norm": 0.6869278152010109, + "learning_rate": 4.954267129660789e-06, + "loss": 0.3045, + "step": 463 + }, + { + "epoch": 1.4039334341906202, + "grad_norm": 0.7175157649133979, + "learning_rate": 4.908675399316534e-06, + "loss": 0.3273, + "step": 464 + }, + { + "epoch": 1.4069591527987897, + "grad_norm": 0.7108916518439158, + "learning_rate": 4.863226084265939e-06, + "loss": 0.3052, + "step": 465 + }, + { + "epoch": 1.4099848714069592, + "grad_norm": 0.6530161078106509, + "learning_rate": 4.817920455824045e-06, + "loss": 0.3114, + "step": 466 + }, + { + "epoch": 1.4130105900151286, + "grad_norm": 0.6966517401457657, + "learning_rate": 4.772759781286679e-06, + "loss": 0.3167, + "step": 467 + }, + { + "epoch": 1.416036308623298, + "grad_norm": 0.6918176132531814, + "learning_rate": 4.727745323894976e-06, + "loss": 0.3016, + "step": 468 + }, + { + "epoch": 1.4190620272314676, + "grad_norm": 0.7176109730155379, + "learning_rate": 4.682878342800087e-06, + "loss": 0.2998, + "step": 469 + }, + { + "epoch": 1.422087745839637, + "grad_norm": 0.7411430195081885, + "learning_rate": 4.638160093027908e-06, + "loss": 0.3178, + "step": 470 + }, + { + "epoch": 1.4251134644478063, + "grad_norm": 0.6377663205681464, + "learning_rate": 4.593591825444028e-06, + "loss": 0.3133, + "step": 471 + }, + { + "epoch": 1.4281391830559758, + "grad_norm": 0.6531087472321021, + "learning_rate": 4.549174786718684e-06, + "loss": 0.2982, + "step": 472 + }, + { + "epoch": 1.4311649016641452, + "grad_norm": 0.7135908230880259, + "learning_rate": 4.504910219291941e-06, + "loss": 0.295, + "step": 473 + }, + { + "epoch": 1.4341906202723147, + "grad_norm": 0.739142641748022, + "learning_rate": 4.460799361338898e-06, + "loss": 0.3163, + "step": 474 + }, + { + "epoch": 1.4372163388804842, + "grad_norm": 0.7408303378966935, + "learning_rate": 4.416843446735077e-06, + "loss": 0.3007, + "step": 475 + }, + { + "epoch": 1.4402420574886536, + "grad_norm": 0.6817093684059107, + "learning_rate": 4.373043705021899e-06, + "loss": 0.2995, + "step": 476 + }, + { + "epoch": 1.4432677760968229, + "grad_norm": 0.6271449105717266, + "learning_rate": 4.3294013613722944e-06, + "loss": 0.2862, + "step": 477 + }, + { + "epoch": 1.4462934947049924, + "grad_norm": 0.7567053608928022, + "learning_rate": 4.2859176365564294e-06, + "loss": 0.3087, + "step": 478 + }, + { + "epoch": 1.4493192133131618, + "grad_norm": 0.7205194155733224, + "learning_rate": 4.2425937469075626e-06, + "loss": 0.3077, + "step": 479 + }, + { + "epoch": 1.4523449319213313, + "grad_norm": 0.7063063085319081, + "learning_rate": 4.19943090428802e-06, + "loss": 0.321, + "step": 480 + }, + { + "epoch": 1.4553706505295008, + "grad_norm": 0.7101514770162125, + "learning_rate": 4.1564303160552935e-06, + "loss": 0.316, + "step": 481 + }, + { + "epoch": 1.4583963691376702, + "grad_norm": 0.6856078647012207, + "learning_rate": 4.113593185028273e-06, + "loss": 0.3141, + "step": 482 + }, + { + "epoch": 1.4614220877458397, + "grad_norm": 0.6640350070614498, + "learning_rate": 4.070920709453597e-06, + "loss": 0.2966, + "step": 483 + }, + { + "epoch": 1.4644478063540092, + "grad_norm": 0.6683203900341405, + "learning_rate": 4.028414082972141e-06, + "loss": 0.3054, + "step": 484 + }, + { + "epoch": 1.4674735249621786, + "grad_norm": 0.6742886654377184, + "learning_rate": 3.986074494585619e-06, + "loss": 0.2975, + "step": 485 + }, + { + "epoch": 1.470499243570348, + "grad_norm": 0.667547478055581, + "learning_rate": 3.943903128623336e-06, + "loss": 0.3035, + "step": 486 + }, + { + "epoch": 1.4735249621785174, + "grad_norm": 0.7274994026274912, + "learning_rate": 3.9019011647090465e-06, + "loss": 0.3103, + "step": 487 + }, + { + "epoch": 1.4765506807866868, + "grad_norm": 0.7298859255446685, + "learning_rate": 3.860069777727983e-06, + "loss": 0.3089, + "step": 488 + }, + { + "epoch": 1.4795763993948563, + "grad_norm": 0.6250914739159029, + "learning_rate": 3.818410137793947e-06, + "loss": 0.2953, + "step": 489 + }, + { + "epoch": 1.4826021180030258, + "grad_norm": 0.6589739873576922, + "learning_rate": 3.7769234102166365e-06, + "loss": 0.3157, + "step": 490 + }, + { + "epoch": 1.4856278366111952, + "grad_norm": 0.6621835285575477, + "learning_rate": 3.735610755468988e-06, + "loss": 0.305, + "step": 491 + }, + { + "epoch": 1.4886535552193645, + "grad_norm": 0.6979051432144535, + "learning_rate": 3.6944733291547784e-06, + "loss": 0.3123, + "step": 492 + }, + { + "epoch": 1.491679273827534, + "grad_norm": 0.6573530949674514, + "learning_rate": 3.653512281976238e-06, + "loss": 0.2882, + "step": 493 + }, + { + "epoch": 1.4947049924357034, + "grad_norm": 0.6579516919973584, + "learning_rate": 3.612728759701919e-06, + "loss": 0.3066, + "step": 494 + }, + { + "epoch": 1.497730711043873, + "grad_norm": 0.6717546746231422, + "learning_rate": 3.5721239031346067e-06, + "loss": 0.3142, + "step": 495 + }, + { + "epoch": 1.5007564296520424, + "grad_norm": 0.7015520913102259, + "learning_rate": 3.5316988480794255e-06, + "loss": 0.2937, + "step": 496 + }, + { + "epoch": 1.5037821482602118, + "grad_norm": 0.7163295786659579, + "learning_rate": 3.4914547253120655e-06, + "loss": 0.3177, + "step": 497 + }, + { + "epoch": 1.5068078668683813, + "grad_norm": 0.6965295908062653, + "learning_rate": 3.4513926605471504e-06, + "loss": 0.2966, + "step": 498 + }, + { + "epoch": 1.5098335854765508, + "grad_norm": 0.6850598704200435, + "learning_rate": 3.4115137744067516e-06, + "loss": 0.3144, + "step": 499 + }, + { + "epoch": 1.5128593040847202, + "grad_norm": 0.7056369129107117, + "learning_rate": 3.37181918238904e-06, + "loss": 0.3043, + "step": 500 + }, + { + "epoch": 1.5158850226928897, + "grad_norm": 0.6913127851774009, + "learning_rate": 3.3323099948370853e-06, + "loss": 0.3285, + "step": 501 + }, + { + "epoch": 1.518910741301059, + "grad_norm": 0.6965242805990124, + "learning_rate": 3.292987316907792e-06, + "loss": 0.3103, + "step": 502 + }, + { + "epoch": 1.5219364599092284, + "grad_norm": 0.665142254268256, + "learning_rate": 3.253852248540994e-06, + "loss": 0.2934, + "step": 503 + }, + { + "epoch": 1.524962178517398, + "grad_norm": 0.7226581227602544, + "learning_rate": 3.2149058844286796e-06, + "loss": 0.3293, + "step": 504 + }, + { + "epoch": 1.5279878971255674, + "grad_norm": 0.6220905122871174, + "learning_rate": 3.1761493139843734e-06, + "loss": 0.299, + "step": 505 + }, + { + "epoch": 1.5310136157337366, + "grad_norm": 0.6313614557402552, + "learning_rate": 3.1375836213126653e-06, + "loss": 0.2852, + "step": 506 + }, + { + "epoch": 1.534039334341906, + "grad_norm": 0.6548685957348239, + "learning_rate": 3.099209885178882e-06, + "loss": 0.3036, + "step": 507 + }, + { + "epoch": 1.5370650529500756, + "grad_norm": 0.6729010303077434, + "learning_rate": 3.0610291789789094e-06, + "loss": 0.3095, + "step": 508 + }, + { + "epoch": 1.540090771558245, + "grad_norm": 0.6687322754734171, + "learning_rate": 3.023042570709185e-06, + "loss": 0.3071, + "step": 509 + }, + { + "epoch": 1.5431164901664145, + "grad_norm": 0.6577602968780579, + "learning_rate": 2.9852511229367862e-06, + "loss": 0.2967, + "step": 510 + }, + { + "epoch": 1.546142208774584, + "grad_norm": 0.7040539230765012, + "learning_rate": 2.9476558927697605e-06, + "loss": 0.3148, + "step": 511 + }, + { + "epoch": 1.5491679273827534, + "grad_norm": 0.6606576146429955, + "learning_rate": 2.9102579318274994e-06, + "loss": 0.3098, + "step": 512 + }, + { + "epoch": 1.552193645990923, + "grad_norm": 0.7123838336625483, + "learning_rate": 2.8730582862113743e-06, + "loss": 0.306, + "step": 513 + }, + { + "epoch": 1.5552193645990924, + "grad_norm": 0.6800625675028074, + "learning_rate": 2.8360579964754277e-06, + "loss": 0.297, + "step": 514 + }, + { + "epoch": 1.5582450832072618, + "grad_norm": 0.7146719725705313, + "learning_rate": 2.7992580975973136e-06, + "loss": 0.3219, + "step": 515 + }, + { + "epoch": 1.5612708018154313, + "grad_norm": 0.7014060921501596, + "learning_rate": 2.7626596189492983e-06, + "loss": 0.3122, + "step": 516 + }, + { + "epoch": 1.5642965204236006, + "grad_norm": 0.7323275452992638, + "learning_rate": 2.726263584269513e-06, + "loss": 0.3086, + "step": 517 + }, + { + "epoch": 1.56732223903177, + "grad_norm": 0.6573615776870584, + "learning_rate": 2.690071011633284e-06, + "loss": 0.2868, + "step": 518 + }, + { + "epoch": 1.5703479576399395, + "grad_norm": 0.7057641835514566, + "learning_rate": 2.6540829134246683e-06, + "loss": 0.2976, + "step": 519 + }, + { + "epoch": 1.573373676248109, + "grad_norm": 0.6893105772844778, + "learning_rate": 2.618300296308135e-06, + "loss": 0.3009, + "step": 520 + }, + { + "epoch": 1.5763993948562782, + "grad_norm": 0.7015756750955611, + "learning_rate": 2.582724161200405e-06, + "loss": 0.3095, + "step": 521 + }, + { + "epoch": 1.5794251134644477, + "grad_norm": 0.6786474439919953, + "learning_rate": 2.5473555032424534e-06, + "loss": 0.3092, + "step": 522 + }, + { + "epoch": 1.5824508320726172, + "grad_norm": 0.6816148350830269, + "learning_rate": 2.5121953117716744e-06, + "loss": 0.2964, + "step": 523 + }, + { + "epoch": 1.5854765506807866, + "grad_norm": 0.7032342419117699, + "learning_rate": 2.477244570294206e-06, + "loss": 0.2996, + "step": 524 + }, + { + "epoch": 1.588502269288956, + "grad_norm": 0.6497005962681162, + "learning_rate": 2.4425042564574186e-06, + "loss": 0.3093, + "step": 525 + }, + { + "epoch": 1.5915279878971256, + "grad_norm": 0.667989505885137, + "learning_rate": 2.4079753420225694e-06, + "loss": 0.2997, + "step": 526 + }, + { + "epoch": 1.594553706505295, + "grad_norm": 0.6301226432452741, + "learning_rate": 2.3736587928376197e-06, + "loss": 0.298, + "step": 527 + }, + { + "epoch": 1.5975794251134645, + "grad_norm": 0.7055657334485891, + "learning_rate": 2.339555568810221e-06, + "loss": 0.3024, + "step": 528 + }, + { + "epoch": 1.600605143721634, + "grad_norm": 0.7099347107376063, + "learning_rate": 2.305666623880858e-06, + "loss": 0.3071, + "step": 529 + }, + { + "epoch": 1.6036308623298035, + "grad_norm": 0.6545250442005224, + "learning_rate": 2.27199290599617e-06, + "loss": 0.3116, + "step": 530 + }, + { + "epoch": 1.606656580937973, + "grad_norm": 0.7109659949842663, + "learning_rate": 2.2385353570824308e-06, + "loss": 0.3115, + "step": 531 + }, + { + "epoch": 1.6096822995461422, + "grad_norm": 0.6780617159855574, + "learning_rate": 2.2052949130192136e-06, + "loss": 0.3218, + "step": 532 + }, + { + "epoch": 1.6127080181543116, + "grad_norm": 0.6657632577376542, + "learning_rate": 2.172272503613183e-06, + "loss": 0.3015, + "step": 533 + }, + { + "epoch": 1.615733736762481, + "grad_norm": 0.6466047000568412, + "learning_rate": 2.1394690525721275e-06, + "loss": 0.3098, + "step": 534 + }, + { + "epoch": 1.6187594553706506, + "grad_norm": 0.7127675529357266, + "learning_rate": 2.1068854774790783e-06, + "loss": 0.3092, + "step": 535 + }, + { + "epoch": 1.6217851739788198, + "grad_norm": 0.6376273167001213, + "learning_rate": 2.0745226897666858e-06, + "loss": 0.3141, + "step": 536 + }, + { + "epoch": 1.6248108925869893, + "grad_norm": 0.6773514983886967, + "learning_rate": 2.0423815946916783e-06, + "loss": 0.3061, + "step": 537 + }, + { + "epoch": 1.6278366111951588, + "grad_norm": 0.6456596393424766, + "learning_rate": 2.010463091309587e-06, + "loss": 0.3025, + "step": 538 + }, + { + "epoch": 1.6308623298033282, + "grad_norm": 0.67694832920271, + "learning_rate": 1.9787680724495617e-06, + "loss": 0.2957, + "step": 539 + }, + { + "epoch": 1.6338880484114977, + "grad_norm": 0.6679215741135024, + "learning_rate": 1.947297424689414e-06, + "loss": 0.3078, + "step": 540 + }, + { + "epoch": 1.6369137670196672, + "grad_norm": 0.6906645221788767, + "learning_rate": 1.9160520283308115e-06, + "loss": 0.3232, + "step": 541 + }, + { + "epoch": 1.6399394856278366, + "grad_norm": 0.7456214412485574, + "learning_rate": 1.8850327573746584e-06, + "loss": 0.3199, + "step": 542 + }, + { + "epoch": 1.6429652042360061, + "grad_norm": 0.6974498038867516, + "learning_rate": 1.854240479496643e-06, + "loss": 0.2989, + "step": 543 + }, + { + "epoch": 1.6459909228441756, + "grad_norm": 0.6917148819044815, + "learning_rate": 1.8236760560229715e-06, + "loss": 0.3205, + "step": 544 + }, + { + "epoch": 1.649016641452345, + "grad_norm": 0.6545710412311792, + "learning_rate": 1.7933403419062689e-06, + "loss": 0.303, + "step": 545 + }, + { + "epoch": 1.6520423600605145, + "grad_norm": 0.6688154927733875, + "learning_rate": 1.7632341857016733e-06, + "loss": 0.3056, + "step": 546 + }, + { + "epoch": 1.6550680786686838, + "grad_norm": 0.6995131957981781, + "learning_rate": 1.7333584295430894e-06, + "loss": 0.3298, + "step": 547 + }, + { + "epoch": 1.6580937972768532, + "grad_norm": 0.6643359220868326, + "learning_rate": 1.7037139091196396e-06, + "loss": 0.3085, + "step": 548 + }, + { + "epoch": 1.6611195158850227, + "grad_norm": 0.685107700473361, + "learning_rate": 1.6743014536522872e-06, + "loss": 0.3223, + "step": 549 + }, + { + "epoch": 1.6641452344931922, + "grad_norm": 0.6913375679469141, + "learning_rate": 1.6451218858706374e-06, + "loss": 0.3008, + "step": 550 + }, + { + "epoch": 1.6671709531013614, + "grad_norm": 0.6852784857143319, + "learning_rate": 1.616176021989926e-06, + "loss": 0.2986, + "step": 551 + }, + { + "epoch": 1.670196671709531, + "grad_norm": 0.6244856278546679, + "learning_rate": 1.587464671688187e-06, + "loss": 0.287, + "step": 552 + }, + { + "epoch": 1.6732223903177004, + "grad_norm": 0.6616378935810713, + "learning_rate": 1.558988638083616e-06, + "loss": 0.3047, + "step": 553 + }, + { + "epoch": 1.6762481089258698, + "grad_norm": 0.6290627309632496, + "learning_rate": 1.5307487177120773e-06, + "loss": 0.2986, + "step": 554 + }, + { + "epoch": 1.6792738275340393, + "grad_norm": 0.7289633375102201, + "learning_rate": 1.5027457005048573e-06, + "loss": 0.3116, + "step": 555 + }, + { + "epoch": 1.6822995461422088, + "grad_norm": 0.6815942580022992, + "learning_rate": 1.4749803697665366e-06, + "loss": 0.3014, + "step": 556 + }, + { + "epoch": 1.6853252647503782, + "grad_norm": 0.6450996861992705, + "learning_rate": 1.4474535021531099e-06, + "loss": 0.2959, + "step": 557 + }, + { + "epoch": 1.6883509833585477, + "grad_norm": 0.6643139358816491, + "learning_rate": 1.4201658676502294e-06, + "loss": 0.299, + "step": 558 + }, + { + "epoch": 1.6913767019667172, + "grad_norm": 0.6629875060177536, + "learning_rate": 1.3931182295516965e-06, + "loss": 0.3074, + "step": 559 + }, + { + "epoch": 1.6944024205748867, + "grad_norm": 0.7287440964985509, + "learning_rate": 1.3663113444380905e-06, + "loss": 0.3143, + "step": 560 + }, + { + "epoch": 1.6974281391830561, + "grad_norm": 0.6787630455694269, + "learning_rate": 1.339745962155613e-06, + "loss": 0.3171, + "step": 561 + }, + { + "epoch": 1.7004538577912254, + "grad_norm": 0.7016442122409217, + "learning_rate": 1.3134228257951142e-06, + "loss": 0.3011, + "step": 562 + }, + { + "epoch": 1.7034795763993948, + "grad_norm": 0.6775379435662265, + "learning_rate": 1.2873426716713012e-06, + "loss": 0.3065, + "step": 563 + }, + { + "epoch": 1.7065052950075643, + "grad_norm": 0.6452696502543012, + "learning_rate": 1.2615062293021508e-06, + "loss": 0.2932, + "step": 564 + }, + { + "epoch": 1.7095310136157338, + "grad_norm": 0.6251740554331783, + "learning_rate": 1.2359142213884933e-06, + "loss": 0.2904, + "step": 565 + }, + { + "epoch": 1.712556732223903, + "grad_norm": 0.637563389891621, + "learning_rate": 1.2105673637938054e-06, + "loss": 0.2898, + "step": 566 + }, + { + "epoch": 1.7155824508320725, + "grad_norm": 0.7021753568439517, + "learning_rate": 1.1854663655241804e-06, + "loss": 0.3174, + "step": 567 + }, + { + "epoch": 1.718608169440242, + "grad_norm": 0.7030610863461094, + "learning_rate": 1.1606119287084982e-06, + "loss": 0.322, + "step": 568 + }, + { + "epoch": 1.7216338880484114, + "grad_norm": 0.6752602304719243, + "learning_rate": 1.136004748578785e-06, + "loss": 0.3114, + "step": 569 + }, + { + "epoch": 1.724659606656581, + "grad_norm": 0.6725861536391564, + "learning_rate": 1.1116455134507665e-06, + "loss": 0.2965, + "step": 570 + }, + { + "epoch": 1.7276853252647504, + "grad_norm": 0.6421643386021408, + "learning_rate": 1.0875349047046113e-06, + "loss": 0.2821, + "step": 571 + }, + { + "epoch": 1.7307110438729199, + "grad_norm": 0.6641818934466682, + "learning_rate": 1.0636735967658785e-06, + "loss": 0.2975, + "step": 572 + }, + { + "epoch": 1.7337367624810893, + "grad_norm": 0.6592335418171335, + "learning_rate": 1.0400622570866426e-06, + "loss": 0.2873, + "step": 573 + }, + { + "epoch": 1.7367624810892588, + "grad_norm": 0.6734743337200905, + "learning_rate": 1.0167015461268303e-06, + "loss": 0.2993, + "step": 574 + }, + { + "epoch": 1.7397881996974283, + "grad_norm": 0.6402118592759282, + "learning_rate": 9.935921173357444e-07, + "loss": 0.2896, + "step": 575 + }, + { + "epoch": 1.7428139183055977, + "grad_norm": 0.6868849258581086, + "learning_rate": 9.707346171337895e-07, + "loss": 0.2989, + "step": 576 + }, + { + "epoch": 1.745839636913767, + "grad_norm": 0.654919131538928, + "learning_rate": 9.481296848943744e-07, + "loss": 0.29, + "step": 577 + }, + { + "epoch": 1.7488653555219364, + "grad_norm": 0.6636409921738805, + "learning_rate": 9.257779529260558e-07, + "loss": 0.2967, + "step": 578 + }, + { + "epoch": 1.751891074130106, + "grad_norm": 0.6468383208429793, + "learning_rate": 9.036800464548157e-07, + "loss": 0.2854, + "step": 579 + }, + { + "epoch": 1.7549167927382754, + "grad_norm": 0.6726445694355387, + "learning_rate": 8.818365836066101e-07, + "loss": 0.2886, + "step": 580 + }, + { + "epoch": 1.7579425113464446, + "grad_norm": 0.6694587269178753, + "learning_rate": 8.602481753900427e-07, + "loss": 0.3045, + "step": 581 + }, + { + "epoch": 1.760968229954614, + "grad_norm": 0.6735975152794047, + "learning_rate": 8.389154256793042e-07, + "loss": 0.2914, + "step": 582 + }, + { + "epoch": 1.7639939485627836, + "grad_norm": 0.7103055826255907, + "learning_rate": 8.178389311972612e-07, + "loss": 0.3425, + "step": 583 + }, + { + "epoch": 1.767019667170953, + "grad_norm": 0.6770662104888682, + "learning_rate": 7.970192814987676e-07, + "loss": 0.2963, + "step": 584 + }, + { + "epoch": 1.7700453857791225, + "grad_norm": 0.6583996697420068, + "learning_rate": 7.764570589541876e-07, + "loss": 0.2823, + "step": 585 + }, + { + "epoch": 1.773071104387292, + "grad_norm": 0.6202318572705944, + "learning_rate": 7.561528387330797e-07, + "loss": 0.2734, + "step": 586 + }, + { + "epoch": 1.7760968229954615, + "grad_norm": 0.6773205889040262, + "learning_rate": 7.361071887881376e-07, + "loss": 0.3075, + "step": 587 + }, + { + "epoch": 1.779122541603631, + "grad_norm": 0.6896841725910922, + "learning_rate": 7.163206698392744e-07, + "loss": 0.2847, + "step": 588 + }, + { + "epoch": 1.7821482602118004, + "grad_norm": 0.6858093184545812, + "learning_rate": 6.96793835357964e-07, + "loss": 0.3012, + "step": 589 + }, + { + "epoch": 1.7851739788199699, + "grad_norm": 0.6594486747222241, + "learning_rate": 6.775272315517423e-07, + "loss": 0.2861, + "step": 590 + }, + { + "epoch": 1.7881996974281393, + "grad_norm": 0.6919254265992697, + "learning_rate": 6.585213973489335e-07, + "loss": 0.3135, + "step": 591 + }, + { + "epoch": 1.7912254160363086, + "grad_norm": 0.682488649763186, + "learning_rate": 6.397768643835755e-07, + "loss": 0.3098, + "step": 592 + }, + { + "epoch": 1.794251134644478, + "grad_norm": 0.7237157968958726, + "learning_rate": 6.212941569805508e-07, + "loss": 0.3029, + "step": 593 + }, + { + "epoch": 1.7972768532526475, + "grad_norm": 0.6829609769944731, + "learning_rate": 6.030737921409169e-07, + "loss": 0.32, + "step": 594 + }, + { + "epoch": 1.800302571860817, + "grad_norm": 0.6588023077719721, + "learning_rate": 5.851162795274445e-07, + "loss": 0.2916, + "step": 595 + }, + { + "epoch": 1.8033282904689862, + "grad_norm": 0.664126084599358, + "learning_rate": 5.674221214503639e-07, + "loss": 0.2905, + "step": 596 + }, + { + "epoch": 1.8063540090771557, + "grad_norm": 0.6879904723766047, + "learning_rate": 5.499918128533155e-07, + "loss": 0.2842, + "step": 597 + }, + { + "epoch": 1.8093797276853252, + "grad_norm": 0.7125138822528545, + "learning_rate": 5.328258412994958e-07, + "loss": 0.3121, + "step": 598 + }, + { + "epoch": 1.8124054462934946, + "grad_norm": 0.6724355464571414, + "learning_rate": 5.159246869580348e-07, + "loss": 0.2998, + "step": 599 + }, + { + "epoch": 1.8154311649016641, + "grad_norm": 0.7145415898546799, + "learning_rate": 4.992888225905467e-07, + "loss": 0.312, + "step": 600 + }, + { + "epoch": 1.8184568835098336, + "grad_norm": 0.7008904055610491, + "learning_rate": 4.829187135379221e-07, + "loss": 0.3079, + "step": 601 + }, + { + "epoch": 1.821482602118003, + "grad_norm": 0.6731636497597705, + "learning_rate": 4.6681481770729844e-07, + "loss": 0.3005, + "step": 602 + }, + { + "epoch": 1.8245083207261725, + "grad_norm": 0.705382135616793, + "learning_rate": 4.509775855592613e-07, + "loss": 0.3007, + "step": 603 + }, + { + "epoch": 1.827534039334342, + "grad_norm": 0.6648829088259712, + "learning_rate": 4.354074600952407e-07, + "loss": 0.3069, + "step": 604 + }, + { + "epoch": 1.8305597579425115, + "grad_norm": 0.6847524960754049, + "learning_rate": 4.2010487684511105e-07, + "loss": 0.3024, + "step": 605 + }, + { + "epoch": 1.833585476550681, + "grad_norm": 0.6412210383694458, + "learning_rate": 4.0507026385502747e-07, + "loss": 0.2879, + "step": 606 + }, + { + "epoch": 1.8366111951588502, + "grad_norm": 0.6610000259490004, + "learning_rate": 3.9030404167542777e-07, + "loss": 0.3038, + "step": 607 + }, + { + "epoch": 1.8396369137670197, + "grad_norm": 0.6649506859767785, + "learning_rate": 3.7580662334929517e-07, + "loss": 0.3046, + "step": 608 + }, + { + "epoch": 1.8426626323751891, + "grad_norm": 0.6892883103152211, + "learning_rate": 3.615784144005796e-07, + "loss": 0.3156, + "step": 609 + }, + { + "epoch": 1.8456883509833586, + "grad_norm": 0.6637595295570491, + "learning_rate": 3.476198128228736e-07, + "loss": 0.3075, + "step": 610 + }, + { + "epoch": 1.8487140695915278, + "grad_norm": 0.6909584743632863, + "learning_rate": 3.339312090682689e-07, + "loss": 0.294, + "step": 611 + }, + { + "epoch": 1.8517397881996973, + "grad_norm": 0.6550955366972527, + "learning_rate": 3.2051298603643754e-07, + "loss": 0.3025, + "step": 612 + }, + { + "epoch": 1.8547655068078668, + "grad_norm": 0.7188973055487573, + "learning_rate": 3.0736551906392354e-07, + "loss": 0.3183, + "step": 613 + }, + { + "epoch": 1.8577912254160363, + "grad_norm": 0.671608443230234, + "learning_rate": 2.9448917591363923e-07, + "loss": 0.2934, + "step": 614 + }, + { + "epoch": 1.8608169440242057, + "grad_norm": 0.6495285134094789, + "learning_rate": 2.818843167645835e-07, + "loss": 0.2963, + "step": 615 + }, + { + "epoch": 1.8638426626323752, + "grad_norm": 0.6686821069639803, + "learning_rate": 2.6955129420176193e-07, + "loss": 0.2968, + "step": 616 + }, + { + "epoch": 1.8668683812405447, + "grad_norm": 0.6549412447812422, + "learning_rate": 2.5749045320632824e-07, + "loss": 0.2886, + "step": 617 + }, + { + "epoch": 1.8698940998487141, + "grad_norm": 0.6579312509543122, + "learning_rate": 2.4570213114592957e-07, + "loss": 0.2911, + "step": 618 + }, + { + "epoch": 1.8729198184568836, + "grad_norm": 0.6554406517938106, + "learning_rate": 2.3418665776527738e-07, + "loss": 0.2945, + "step": 619 + }, + { + "epoch": 1.875945537065053, + "grad_norm": 0.72976097744805, + "learning_rate": 2.2294435517691504e-07, + "loss": 0.3045, + "step": 620 + }, + { + "epoch": 1.8789712556732225, + "grad_norm": 0.6283288078819096, + "learning_rate": 2.119755378522137e-07, + "loss": 0.2804, + "step": 621 + }, + { + "epoch": 1.8819969742813918, + "grad_norm": 0.6196591866641898, + "learning_rate": 2.0128051261257165e-07, + "loss": 0.2867, + "step": 622 + }, + { + "epoch": 1.8850226928895613, + "grad_norm": 0.6384763140004561, + "learning_rate": 1.908595786208367e-07, + "loss": 0.2956, + "step": 623 + }, + { + "epoch": 1.8880484114977307, + "grad_norm": 0.6660075700757717, + "learning_rate": 1.8071302737293294e-07, + "loss": 0.2939, + "step": 624 + }, + { + "epoch": 1.8910741301059002, + "grad_norm": 0.6962462708812117, + "learning_rate": 1.7084114268971275e-07, + "loss": 0.3095, + "step": 625 + }, + { + "epoch": 1.8940998487140694, + "grad_norm": 0.6683240064404302, + "learning_rate": 1.612442007090076e-07, + "loss": 0.2889, + "step": 626 + }, + { + "epoch": 1.897125567322239, + "grad_norm": 0.6801361586494642, + "learning_rate": 1.519224698779198e-07, + "loss": 0.3075, + "step": 627 + }, + { + "epoch": 1.9001512859304084, + "grad_norm": 0.6312679674759974, + "learning_rate": 1.4287621094529524e-07, + "loss": 0.282, + "step": 628 + }, + { + "epoch": 1.9031770045385779, + "grad_norm": 0.7072555695050261, + "learning_rate": 1.3410567695444576e-07, + "loss": 0.3389, + "step": 629 + }, + { + "epoch": 1.9062027231467473, + "grad_norm": 0.64313743907143, + "learning_rate": 1.2561111323605714e-07, + "loss": 0.2976, + "step": 630 + }, + { + "epoch": 1.9092284417549168, + "grad_norm": 0.6707857841706831, + "learning_rate": 1.1739275740134004e-07, + "loss": 0.3018, + "step": 631 + }, + { + "epoch": 1.9122541603630863, + "grad_norm": 0.6984454046945029, + "learning_rate": 1.0945083933537104e-07, + "loss": 0.3241, + "step": 632 + }, + { + "epoch": 1.9152798789712557, + "grad_norm": 0.648969068048212, + "learning_rate": 1.0178558119067316e-07, + "loss": 0.2775, + "step": 633 + }, + { + "epoch": 1.9183055975794252, + "grad_norm": 0.680833267547679, + "learning_rate": 9.439719738099318e-08, + "loss": 0.2937, + "step": 634 + }, + { + "epoch": 1.9213313161875947, + "grad_norm": 0.6771442140134266, + "learning_rate": 8.728589457530857e-08, + "loss": 0.2806, + "step": 635 + }, + { + "epoch": 1.9243570347957641, + "grad_norm": 0.6847859138690581, + "learning_rate": 8.04518716920466e-08, + "loss": 0.3066, + "step": 636 + }, + { + "epoch": 1.9273827534039334, + "grad_norm": 0.640372019532928, + "learning_rate": 7.389531989351773e-08, + "loss": 0.2864, + "step": 637 + }, + { + "epoch": 1.9304084720121029, + "grad_norm": 0.6786508587652544, + "learning_rate": 6.761642258056977e-08, + "loss": 0.2987, + "step": 638 + }, + { + "epoch": 1.9334341906202723, + "grad_norm": 0.6548156996742484, + "learning_rate": 6.161535538745877e-08, + "loss": 0.3082, + "step": 639 + }, + { + "epoch": 1.9364599092284418, + "grad_norm": 0.6879716315986741, + "learning_rate": 5.5892286176932875e-08, + "loss": 0.3017, + "step": 640 + }, + { + "epoch": 1.939485627836611, + "grad_norm": 0.6495627431866385, + "learning_rate": 5.044737503554165e-08, + "loss": 0.2966, + "step": 641 + }, + { + "epoch": 1.9425113464447805, + "grad_norm": 0.686784823103474, + "learning_rate": 4.528077426915412e-08, + "loss": 0.3125, + "step": 642 + }, + { + "epoch": 1.94553706505295, + "grad_norm": 0.6825748681833028, + "learning_rate": 4.0392628398699954e-08, + "loss": 0.3117, + "step": 643 + }, + { + "epoch": 1.9485627836611195, + "grad_norm": 0.6269909228025669, + "learning_rate": 3.578307415612714e-08, + "loss": 0.2874, + "step": 644 + }, + { + "epoch": 1.951588502269289, + "grad_norm": 0.6855157925721095, + "learning_rate": 3.1452240480577265e-08, + "loss": 0.2904, + "step": 645 + }, + { + "epoch": 1.9546142208774584, + "grad_norm": 0.6643651648332867, + "learning_rate": 2.7400248514776184e-08, + "loss": 0.3038, + "step": 646 + }, + { + "epoch": 1.9576399394856279, + "grad_norm": 0.7052693845208665, + "learning_rate": 2.3627211601651157e-08, + "loss": 0.3043, + "step": 647 + }, + { + "epoch": 1.9606656580937973, + "grad_norm": 0.7249243650040509, + "learning_rate": 2.013323528115674e-08, + "loss": 0.3135, + "step": 648 + }, + { + "epoch": 1.9636913767019668, + "grad_norm": 0.6866153701334478, + "learning_rate": 1.6918417287318245e-08, + "loss": 0.2947, + "step": 649 + }, + { + "epoch": 1.9667170953101363, + "grad_norm": 0.6775732721850586, + "learning_rate": 1.3982847545507271e-08, + "loss": 0.2991, + "step": 650 + }, + { + "epoch": 1.9697428139183057, + "grad_norm": 0.6301726374635819, + "learning_rate": 1.1326608169920373e-08, + "loss": 0.291, + "step": 651 + }, + { + "epoch": 1.972768532526475, + "grad_norm": 0.6649848388276328, + "learning_rate": 8.949773461282008e-09, + "loss": 0.2997, + "step": 652 + }, + { + "epoch": 1.9757942511346445, + "grad_norm": 0.6930689685617217, + "learning_rate": 6.8524099047695415e-09, + "loss": 0.3012, + "step": 653 + }, + { + "epoch": 1.978819969742814, + "grad_norm": 0.6693135773223283, + "learning_rate": 5.034576168149175e-09, + "loss": 0.2949, + "step": 654 + }, + { + "epoch": 1.9818456883509834, + "grad_norm": 0.6590926302923168, + "learning_rate": 3.4963231001383657e-09, + "loss": 0.2923, + "step": 655 + }, + { + "epoch": 1.9848714069591527, + "grad_norm": 0.6400225257785577, + "learning_rate": 2.237693728981416e-09, + "loss": 0.2915, + "step": 656 + }, + { + "epoch": 1.9878971255673221, + "grad_norm": 0.6838704298150148, + "learning_rate": 1.2587232612493172e-09, + "loss": 0.2971, + "step": 657 + }, + { + "epoch": 1.9909228441754916, + "grad_norm": 0.6871092154336205, + "learning_rate": 5.594390808494332e-10, + "loss": 0.3016, + "step": 658 + }, + { + "epoch": 1.993948562783661, + "grad_norm": 0.6605085999081509, + "learning_rate": 1.3986074826388697e-10, + "loss": 0.2813, + "step": 659 + }, + { + "epoch": 1.9969742813918305, + "grad_norm": 0.6932419797592135, + "learning_rate": 0.0, + "loss": 0.3157, + "step": 660 + }, + { + "epoch": 1.9969742813918305, + "step": 660, + "total_flos": 1.4335456782267187e+17, + "train_loss": 0.38812910408684703, + "train_runtime": 1850.4795, + "train_samples_per_second": 45.69, + "train_steps_per_second": 0.357 + } + ], + "logging_steps": 1, + "max_steps": 660, + "num_input_tokens_seen": 0, + "num_train_epochs": 2, + "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": 1.4335456782267187e+17, + "train_batch_size": 4, + "trial_name": null, + "trial_params": null +}