diff --git "a/1400/trainer_state.json" "b/1400/trainer_state.json" new file mode 100644--- /dev/null +++ "b/1400/trainer_state.json" @@ -0,0 +1,9821 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 2.5500910746812386, + "eval_steps": 500, + "global_step": 1400, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "grad_norm": 0.46431864432643544, + "learning_rate": 1.2121212121212122e-06, + "loss": 1.4151, + "step": 1 + }, + { + "epoch": 0.0, + "grad_norm": 0.42969176658539837, + "learning_rate": 2.4242424242424244e-06, + "loss": 1.3729, + "step": 2 + }, + { + "epoch": 0.01, + "grad_norm": 0.5004307936270223, + "learning_rate": 3.636363636363636e-06, + "loss": 1.3989, + "step": 3 + }, + { + "epoch": 0.01, + "grad_norm": 0.43666634920041486, + "learning_rate": 4.848484848484849e-06, + "loss": 1.3363, + "step": 4 + }, + { + "epoch": 0.01, + "grad_norm": 0.4691114419353825, + "learning_rate": 6.060606060606061e-06, + "loss": 1.4293, + "step": 5 + }, + { + "epoch": 0.01, + "grad_norm": 0.4277596061377729, + "learning_rate": 7.272727272727272e-06, + "loss": 1.4343, + "step": 6 + }, + { + "epoch": 0.01, + "grad_norm": 0.4238339229382504, + "learning_rate": 8.484848484848486e-06, + "loss": 1.4462, + "step": 7 + }, + { + "epoch": 0.01, + "grad_norm": 0.40992048534183273, + "learning_rate": 9.696969696969698e-06, + "loss": 1.2756, + "step": 8 + }, + { + "epoch": 0.02, + "grad_norm": 0.37885700313540693, + "learning_rate": 1.0909090909090909e-05, + "loss": 1.3464, + "step": 9 + }, + { + "epoch": 0.02, + "grad_norm": 0.36066141170123023, + "learning_rate": 1.2121212121212122e-05, + "loss": 1.3419, + "step": 10 + }, + { + "epoch": 0.02, + "grad_norm": 0.35617169386863406, + "learning_rate": 1.3333333333333333e-05, + "loss": 1.3533, + "step": 11 + }, + { + "epoch": 0.02, + "grad_norm": 0.3040188564782602, + "learning_rate": 1.4545454545454545e-05, + "loss": 1.2395, + "step": 12 + }, + { + "epoch": 0.02, + "grad_norm": 0.31038319439216566, + "learning_rate": 1.5757575757575756e-05, + "loss": 1.3082, + "step": 13 + }, + { + "epoch": 0.03, + "grad_norm": 0.26683768372135835, + "learning_rate": 1.6969696969696972e-05, + "loss": 1.3063, + "step": 14 + }, + { + "epoch": 0.03, + "grad_norm": 0.3652323682563078, + "learning_rate": 1.8181818181818182e-05, + "loss": 1.3045, + "step": 15 + }, + { + "epoch": 0.03, + "grad_norm": 0.23559121485457843, + "learning_rate": 1.9393939393939395e-05, + "loss": 1.2366, + "step": 16 + }, + { + "epoch": 0.03, + "grad_norm": 0.2342299313020104, + "learning_rate": 2.0606060606060608e-05, + "loss": 1.2831, + "step": 17 + }, + { + "epoch": 0.03, + "grad_norm": 0.2202931700357255, + "learning_rate": 2.1818181818181818e-05, + "loss": 1.3064, + "step": 18 + }, + { + "epoch": 0.03, + "grad_norm": 0.2097660599292375, + "learning_rate": 2.3030303030303034e-05, + "loss": 1.2376, + "step": 19 + }, + { + "epoch": 0.04, + "grad_norm": 0.2356785314652122, + "learning_rate": 2.4242424242424244e-05, + "loss": 1.2802, + "step": 20 + }, + { + "epoch": 0.04, + "grad_norm": 0.24639302530564244, + "learning_rate": 2.5454545454545454e-05, + "loss": 1.3016, + "step": 21 + }, + { + "epoch": 0.04, + "grad_norm": 0.24373126133228787, + "learning_rate": 2.6666666666666667e-05, + "loss": 1.3407, + "step": 22 + }, + { + "epoch": 0.04, + "grad_norm": 0.24488805144123432, + "learning_rate": 2.7878787878787883e-05, + "loss": 1.3325, + "step": 23 + }, + { + "epoch": 0.04, + "grad_norm": 0.2653033507571198, + "learning_rate": 2.909090909090909e-05, + "loss": 1.2811, + "step": 24 + }, + { + "epoch": 0.05, + "grad_norm": 1.2841724819336817, + "learning_rate": 3.0303030303030306e-05, + "loss": 1.2837, + "step": 25 + }, + { + "epoch": 0.05, + "grad_norm": 0.2183883020111492, + "learning_rate": 3.151515151515151e-05, + "loss": 1.2472, + "step": 26 + }, + { + "epoch": 0.05, + "grad_norm": 0.2137995163762026, + "learning_rate": 3.272727272727273e-05, + "loss": 1.2854, + "step": 27 + }, + { + "epoch": 0.05, + "grad_norm": 0.19499006223503876, + "learning_rate": 3.3939393939393945e-05, + "loss": 1.3018, + "step": 28 + }, + { + "epoch": 0.05, + "grad_norm": 0.17367919355340256, + "learning_rate": 3.515151515151515e-05, + "loss": 1.2824, + "step": 29 + }, + { + "epoch": 0.05, + "grad_norm": 0.18326045693683557, + "learning_rate": 3.6363636363636364e-05, + "loss": 1.2192, + "step": 30 + }, + { + "epoch": 0.06, + "grad_norm": 0.17474388188066411, + "learning_rate": 3.757575757575758e-05, + "loss": 1.2078, + "step": 31 + }, + { + "epoch": 0.06, + "grad_norm": 0.17856970178098716, + "learning_rate": 3.878787878787879e-05, + "loss": 1.2683, + "step": 32 + }, + { + "epoch": 0.06, + "grad_norm": 0.18617589704298348, + "learning_rate": 4e-05, + "loss": 1.2265, + "step": 33 + }, + { + "epoch": 0.06, + "grad_norm": 0.17653209733215317, + "learning_rate": 4.1212121212121216e-05, + "loss": 1.319, + "step": 34 + }, + { + "epoch": 0.06, + "grad_norm": 0.1722921367585233, + "learning_rate": 4.242424242424243e-05, + "loss": 1.2117, + "step": 35 + }, + { + "epoch": 0.07, + "grad_norm": 0.176642606378719, + "learning_rate": 4.3636363636363636e-05, + "loss": 1.2512, + "step": 36 + }, + { + "epoch": 0.07, + "grad_norm": 0.16696442324691066, + "learning_rate": 4.484848484848485e-05, + "loss": 1.2637, + "step": 37 + }, + { + "epoch": 0.07, + "grad_norm": 0.17035384059517106, + "learning_rate": 4.606060606060607e-05, + "loss": 1.2699, + "step": 38 + }, + { + "epoch": 0.07, + "grad_norm": 0.15545801881444482, + "learning_rate": 4.7272727272727275e-05, + "loss": 1.2939, + "step": 39 + }, + { + "epoch": 0.07, + "grad_norm": 0.17111439344347512, + "learning_rate": 4.848484848484849e-05, + "loss": 1.3033, + "step": 40 + }, + { + "epoch": 0.07, + "grad_norm": 0.16994151343455458, + "learning_rate": 4.9696969696969694e-05, + "loss": 1.2603, + "step": 41 + }, + { + "epoch": 0.08, + "grad_norm": 0.15929214926453447, + "learning_rate": 5.090909090909091e-05, + "loss": 1.2626, + "step": 42 + }, + { + "epoch": 0.08, + "grad_norm": 0.16761261516238699, + "learning_rate": 5.212121212121213e-05, + "loss": 1.296, + "step": 43 + }, + { + "epoch": 0.08, + "grad_norm": 0.15754700542426123, + "learning_rate": 5.333333333333333e-05, + "loss": 1.278, + "step": 44 + }, + { + "epoch": 0.08, + "grad_norm": 0.15522526683877644, + "learning_rate": 5.4545454545454546e-05, + "loss": 1.2355, + "step": 45 + }, + { + "epoch": 0.08, + "grad_norm": 0.1577929926930023, + "learning_rate": 5.5757575757575766e-05, + "loss": 1.2879, + "step": 46 + }, + { + "epoch": 0.09, + "grad_norm": 0.31075066632858317, + "learning_rate": 5.696969696969697e-05, + "loss": 1.2202, + "step": 47 + }, + { + "epoch": 0.09, + "grad_norm": 0.1663780653395111, + "learning_rate": 5.818181818181818e-05, + "loss": 1.2319, + "step": 48 + }, + { + "epoch": 0.09, + "grad_norm": 0.16049499655883026, + "learning_rate": 5.93939393939394e-05, + "loss": 1.2801, + "step": 49 + }, + { + "epoch": 0.09, + "grad_norm": 0.14515773124436285, + "learning_rate": 6.060606060606061e-05, + "loss": 1.2588, + "step": 50 + }, + { + "epoch": 0.09, + "grad_norm": 0.14653064850325623, + "learning_rate": 6.181818181818182e-05, + "loss": 1.2677, + "step": 51 + }, + { + "epoch": 0.09, + "grad_norm": 0.17193239746689878, + "learning_rate": 6.303030303030302e-05, + "loss": 1.2742, + "step": 52 + }, + { + "epoch": 0.1, + "grad_norm": 0.1967020450342533, + "learning_rate": 6.424242424242424e-05, + "loss": 1.1545, + "step": 53 + }, + { + "epoch": 0.1, + "grad_norm": 0.16247531997247225, + "learning_rate": 6.545454545454546e-05, + "loss": 1.222, + "step": 54 + }, + { + "epoch": 0.1, + "grad_norm": 0.14990706377244528, + "learning_rate": 6.666666666666667e-05, + "loss": 1.2103, + "step": 55 + }, + { + "epoch": 0.1, + "grad_norm": 0.1412817445239095, + "learning_rate": 6.787878787878789e-05, + "loss": 1.2169, + "step": 56 + }, + { + "epoch": 0.1, + "grad_norm": 0.14575971073482757, + "learning_rate": 6.90909090909091e-05, + "loss": 1.2751, + "step": 57 + }, + { + "epoch": 0.11, + "grad_norm": 0.13714747569950891, + "learning_rate": 7.03030303030303e-05, + "loss": 1.2508, + "step": 58 + }, + { + "epoch": 0.11, + "grad_norm": 0.14334695156859903, + "learning_rate": 7.151515151515152e-05, + "loss": 1.2721, + "step": 59 + }, + { + "epoch": 0.11, + "grad_norm": 0.1456824177522916, + "learning_rate": 7.272727272727273e-05, + "loss": 1.2649, + "step": 60 + }, + { + "epoch": 0.11, + "grad_norm": 0.15030318240210044, + "learning_rate": 7.393939393939395e-05, + "loss": 1.2167, + "step": 61 + }, + { + "epoch": 0.11, + "grad_norm": 0.1651326066719482, + "learning_rate": 7.515151515151515e-05, + "loss": 1.3126, + "step": 62 + }, + { + "epoch": 0.11, + "grad_norm": 0.1408250406479118, + "learning_rate": 7.636363636363637e-05, + "loss": 1.2891, + "step": 63 + }, + { + "epoch": 0.12, + "grad_norm": 0.21501384376905694, + "learning_rate": 7.757575757575758e-05, + "loss": 1.3019, + "step": 64 + }, + { + "epoch": 0.12, + "grad_norm": 0.1365168726167339, + "learning_rate": 7.878787878787879e-05, + "loss": 1.2498, + "step": 65 + }, + { + "epoch": 0.12, + "grad_norm": 0.1431463689660936, + "learning_rate": 8e-05, + "loss": 1.2793, + "step": 66 + }, + { + "epoch": 0.12, + "grad_norm": 0.13689045214286194, + "learning_rate": 8.121212121212121e-05, + "loss": 1.2295, + "step": 67 + }, + { + "epoch": 0.12, + "grad_norm": 0.13483608710081227, + "learning_rate": 8.242424242424243e-05, + "loss": 1.2258, + "step": 68 + }, + { + "epoch": 0.13, + "grad_norm": 0.13707618564415613, + "learning_rate": 8.363636363636364e-05, + "loss": 1.2252, + "step": 69 + }, + { + "epoch": 0.13, + "grad_norm": 0.13780236215967515, + "learning_rate": 8.484848484848486e-05, + "loss": 1.2565, + "step": 70 + }, + { + "epoch": 0.13, + "grad_norm": 0.14036805493494423, + "learning_rate": 8.606060606060606e-05, + "loss": 1.3023, + "step": 71 + }, + { + "epoch": 0.13, + "grad_norm": 0.12776919439147982, + "learning_rate": 8.727272727272727e-05, + "loss": 1.2292, + "step": 72 + }, + { + "epoch": 0.13, + "grad_norm": 0.1289941815481437, + "learning_rate": 8.848484848484849e-05, + "loss": 1.2191, + "step": 73 + }, + { + "epoch": 0.13, + "grad_norm": 0.13943952294847306, + "learning_rate": 8.96969696969697e-05, + "loss": 1.2915, + "step": 74 + }, + { + "epoch": 0.14, + "grad_norm": 0.1493528502117281, + "learning_rate": 9.090909090909092e-05, + "loss": 1.2797, + "step": 75 + }, + { + "epoch": 0.14, + "grad_norm": 0.1252401242451818, + "learning_rate": 9.212121212121214e-05, + "loss": 1.2552, + "step": 76 + }, + { + "epoch": 0.14, + "grad_norm": 0.13969800467546992, + "learning_rate": 9.333333333333334e-05, + "loss": 1.3147, + "step": 77 + }, + { + "epoch": 0.14, + "grad_norm": 0.1277258491470434, + "learning_rate": 9.454545454545455e-05, + "loss": 1.2089, + "step": 78 + }, + { + "epoch": 0.14, + "grad_norm": 0.133041369314817, + "learning_rate": 9.575757575757576e-05, + "loss": 1.2761, + "step": 79 + }, + { + "epoch": 0.15, + "grad_norm": 0.14564572037181842, + "learning_rate": 9.696969696969698e-05, + "loss": 1.1901, + "step": 80 + }, + { + "epoch": 0.15, + "grad_norm": 0.13666505656492195, + "learning_rate": 9.818181818181818e-05, + "loss": 1.2615, + "step": 81 + }, + { + "epoch": 0.15, + "grad_norm": 0.135007805210003, + "learning_rate": 9.939393939393939e-05, + "loss": 1.2669, + "step": 82 + }, + { + "epoch": 0.15, + "grad_norm": 0.17287563365884975, + "learning_rate": 0.00010060606060606062, + "loss": 1.2669, + "step": 83 + }, + { + "epoch": 0.15, + "grad_norm": 0.12934306326048103, + "learning_rate": 0.00010181818181818181, + "loss": 1.1979, + "step": 84 + }, + { + "epoch": 0.15, + "grad_norm": 0.13517436169178096, + "learning_rate": 0.00010303030303030303, + "loss": 1.2226, + "step": 85 + }, + { + "epoch": 0.16, + "grad_norm": 0.12105351159271568, + "learning_rate": 0.00010424242424242425, + "loss": 1.1172, + "step": 86 + }, + { + "epoch": 0.16, + "grad_norm": 0.1281676431775383, + "learning_rate": 0.00010545454545454545, + "loss": 1.2046, + "step": 87 + }, + { + "epoch": 0.16, + "grad_norm": 0.11730963057933333, + "learning_rate": 0.00010666666666666667, + "loss": 1.1883, + "step": 88 + }, + { + "epoch": 0.16, + "grad_norm": 0.12655235108503246, + "learning_rate": 0.00010787878787878789, + "loss": 1.1331, + "step": 89 + }, + { + "epoch": 0.16, + "grad_norm": 0.13047560307970027, + "learning_rate": 0.00010909090909090909, + "loss": 1.2731, + "step": 90 + }, + { + "epoch": 0.17, + "grad_norm": 0.12193522973752649, + "learning_rate": 0.00011030303030303031, + "loss": 1.2161, + "step": 91 + }, + { + "epoch": 0.17, + "grad_norm": 0.12804360300116346, + "learning_rate": 0.00011151515151515153, + "loss": 1.3062, + "step": 92 + }, + { + "epoch": 0.17, + "grad_norm": 0.15991741754516206, + "learning_rate": 0.00011272727272727272, + "loss": 1.239, + "step": 93 + }, + { + "epoch": 0.17, + "grad_norm": 0.15140182244454561, + "learning_rate": 0.00011393939393939394, + "loss": 1.2349, + "step": 94 + }, + { + "epoch": 0.17, + "grad_norm": 0.12320241076263434, + "learning_rate": 0.00011515151515151516, + "loss": 1.2875, + "step": 95 + }, + { + "epoch": 0.17, + "grad_norm": 0.13235998458230466, + "learning_rate": 0.00011636363636363636, + "loss": 1.2218, + "step": 96 + }, + { + "epoch": 0.18, + "grad_norm": 0.11783688734798668, + "learning_rate": 0.00011757575757575758, + "loss": 1.1864, + "step": 97 + }, + { + "epoch": 0.18, + "grad_norm": 0.3151933420750235, + "learning_rate": 0.0001187878787878788, + "loss": 1.3023, + "step": 98 + }, + { + "epoch": 0.18, + "grad_norm": 0.12665632567219295, + "learning_rate": 0.00012, + "loss": 1.2249, + "step": 99 + }, + { + "epoch": 0.18, + "grad_norm": 0.1228886740460738, + "learning_rate": 0.00012121212121212122, + "loss": 1.2517, + "step": 100 + }, + { + "epoch": 0.18, + "grad_norm": 0.11892005244989344, + "learning_rate": 0.00012242424242424243, + "loss": 1.2586, + "step": 101 + }, + { + "epoch": 0.19, + "grad_norm": 0.1232340827222201, + "learning_rate": 0.00012363636363636364, + "loss": 1.3217, + "step": 102 + }, + { + "epoch": 0.19, + "grad_norm": 0.13837226869323116, + "learning_rate": 0.00012484848484848487, + "loss": 1.2693, + "step": 103 + }, + { + "epoch": 0.19, + "grad_norm": 0.12068217991774362, + "learning_rate": 0.00012606060606060605, + "loss": 1.2623, + "step": 104 + }, + { + "epoch": 0.19, + "grad_norm": 0.16779277284606545, + "learning_rate": 0.00012727272727272728, + "loss": 1.2415, + "step": 105 + }, + { + "epoch": 0.19, + "grad_norm": 0.13396891539963085, + "learning_rate": 0.0001284848484848485, + "loss": 1.2313, + "step": 106 + }, + { + "epoch": 0.19, + "grad_norm": 0.12457104490772812, + "learning_rate": 0.0001296969696969697, + "loss": 1.1758, + "step": 107 + }, + { + "epoch": 0.2, + "grad_norm": 0.12676816816563452, + "learning_rate": 0.00013090909090909093, + "loss": 1.2478, + "step": 108 + }, + { + "epoch": 0.2, + "grad_norm": 0.11973639622066906, + "learning_rate": 0.00013212121212121213, + "loss": 1.2335, + "step": 109 + }, + { + "epoch": 0.2, + "grad_norm": 0.1330159646034068, + "learning_rate": 0.00013333333333333334, + "loss": 1.26, + "step": 110 + }, + { + "epoch": 0.2, + "grad_norm": 0.1298003025338099, + "learning_rate": 0.00013454545454545455, + "loss": 1.1907, + "step": 111 + }, + { + "epoch": 0.2, + "grad_norm": 0.1226154813287666, + "learning_rate": 0.00013575757575757578, + "loss": 1.1807, + "step": 112 + }, + { + "epoch": 0.21, + "grad_norm": 0.12533753244302145, + "learning_rate": 0.00013696969696969696, + "loss": 1.2098, + "step": 113 + }, + { + "epoch": 0.21, + "grad_norm": 0.12673266503840944, + "learning_rate": 0.0001381818181818182, + "loss": 1.2265, + "step": 114 + }, + { + "epoch": 0.21, + "grad_norm": 0.1299039569361384, + "learning_rate": 0.0001393939393939394, + "loss": 1.2534, + "step": 115 + }, + { + "epoch": 0.21, + "grad_norm": 0.13023496663090803, + "learning_rate": 0.0001406060606060606, + "loss": 1.2453, + "step": 116 + }, + { + "epoch": 0.21, + "grad_norm": 0.12001793500864573, + "learning_rate": 0.00014181818181818184, + "loss": 1.1608, + "step": 117 + }, + { + "epoch": 0.21, + "grad_norm": 0.14561862193041028, + "learning_rate": 0.00014303030303030304, + "loss": 1.2233, + "step": 118 + }, + { + "epoch": 0.22, + "grad_norm": 0.12636130876430832, + "learning_rate": 0.00014424242424242425, + "loss": 1.2833, + "step": 119 + }, + { + "epoch": 0.22, + "grad_norm": 0.189556849271166, + "learning_rate": 0.00014545454545454546, + "loss": 1.3105, + "step": 120 + }, + { + "epoch": 0.22, + "grad_norm": 0.12409073764495662, + "learning_rate": 0.00014666666666666666, + "loss": 1.1534, + "step": 121 + }, + { + "epoch": 0.22, + "grad_norm": 0.12149212466969316, + "learning_rate": 0.0001478787878787879, + "loss": 1.3039, + "step": 122 + }, + { + "epoch": 0.22, + "grad_norm": 0.12147336887953522, + "learning_rate": 0.0001490909090909091, + "loss": 1.326, + "step": 123 + }, + { + "epoch": 0.23, + "grad_norm": 0.1176585016163167, + "learning_rate": 0.0001503030303030303, + "loss": 1.191, + "step": 124 + }, + { + "epoch": 0.23, + "grad_norm": 0.2066428974234372, + "learning_rate": 0.00015151515151515152, + "loss": 1.3054, + "step": 125 + }, + { + "epoch": 0.23, + "grad_norm": 0.29582724255710047, + "learning_rate": 0.00015272727272727275, + "loss": 1.2032, + "step": 126 + }, + { + "epoch": 0.23, + "grad_norm": 0.13084381204119358, + "learning_rate": 0.00015393939393939393, + "loss": 1.2289, + "step": 127 + }, + { + "epoch": 0.23, + "grad_norm": 0.1294157600411397, + "learning_rate": 0.00015515151515151516, + "loss": 1.2561, + "step": 128 + }, + { + "epoch": 0.23, + "grad_norm": 0.14039614543447027, + "learning_rate": 0.00015636363636363637, + "loss": 1.243, + "step": 129 + }, + { + "epoch": 0.24, + "grad_norm": 0.19939984917282128, + "learning_rate": 0.00015757575757575757, + "loss": 1.1286, + "step": 130 + }, + { + "epoch": 0.24, + "grad_norm": 0.14402764349968203, + "learning_rate": 0.0001587878787878788, + "loss": 1.1959, + "step": 131 + }, + { + "epoch": 0.24, + "grad_norm": 0.13970978861500938, + "learning_rate": 0.00016, + "loss": 1.1814, + "step": 132 + }, + { + "epoch": 0.24, + "grad_norm": 0.14539538472563127, + "learning_rate": 0.00016121212121212122, + "loss": 1.2317, + "step": 133 + }, + { + "epoch": 0.24, + "grad_norm": 0.13456425455391557, + "learning_rate": 0.00016242424242424243, + "loss": 1.2239, + "step": 134 + }, + { + "epoch": 0.25, + "grad_norm": 0.1314997837157779, + "learning_rate": 0.00016363636363636366, + "loss": 1.1986, + "step": 135 + }, + { + "epoch": 0.25, + "grad_norm": 0.14046946525591422, + "learning_rate": 0.00016484848484848487, + "loss": 1.2238, + "step": 136 + }, + { + "epoch": 0.25, + "grad_norm": 0.6095538041505763, + "learning_rate": 0.00016606060606060607, + "loss": 1.2332, + "step": 137 + }, + { + "epoch": 0.25, + "grad_norm": 0.17707289712054367, + "learning_rate": 0.00016727272727272728, + "loss": 1.2401, + "step": 138 + }, + { + "epoch": 0.25, + "grad_norm": 0.19335172179099247, + "learning_rate": 0.00016848484848484848, + "loss": 1.2361, + "step": 139 + }, + { + "epoch": 0.26, + "grad_norm": 0.13725591818701255, + "learning_rate": 0.00016969696969696972, + "loss": 1.193, + "step": 140 + }, + { + "epoch": 0.26, + "grad_norm": 0.15535575462507384, + "learning_rate": 0.0001709090909090909, + "loss": 1.2769, + "step": 141 + }, + { + "epoch": 0.26, + "grad_norm": 0.14909436560898923, + "learning_rate": 0.00017212121212121213, + "loss": 1.2602, + "step": 142 + }, + { + "epoch": 0.26, + "grad_norm": 0.15054368082407957, + "learning_rate": 0.00017333333333333334, + "loss": 1.2607, + "step": 143 + }, + { + "epoch": 0.26, + "grad_norm": 0.13386897838741724, + "learning_rate": 0.00017454545454545454, + "loss": 1.168, + "step": 144 + }, + { + "epoch": 0.26, + "grad_norm": 0.13567889528730145, + "learning_rate": 0.00017575757575757578, + "loss": 1.1984, + "step": 145 + }, + { + "epoch": 0.27, + "grad_norm": 0.13994382298003089, + "learning_rate": 0.00017696969696969698, + "loss": 1.2795, + "step": 146 + }, + { + "epoch": 0.27, + "grad_norm": 0.13941573210713187, + "learning_rate": 0.0001781818181818182, + "loss": 1.2303, + "step": 147 + }, + { + "epoch": 0.27, + "grad_norm": 0.18302605925485763, + "learning_rate": 0.0001793939393939394, + "loss": 1.2696, + "step": 148 + }, + { + "epoch": 0.27, + "grad_norm": 0.1547402223275396, + "learning_rate": 0.00018060606060606063, + "loss": 1.1276, + "step": 149 + }, + { + "epoch": 0.27, + "grad_norm": 0.19947594494850646, + "learning_rate": 0.00018181818181818183, + "loss": 1.271, + "step": 150 + }, + { + "epoch": 0.28, + "grad_norm": 0.1517101450465788, + "learning_rate": 0.00018303030303030304, + "loss": 1.2193, + "step": 151 + }, + { + "epoch": 0.28, + "grad_norm": 0.19251063116857103, + "learning_rate": 0.00018424242424242427, + "loss": 1.2703, + "step": 152 + }, + { + "epoch": 0.28, + "grad_norm": 0.16789099560498666, + "learning_rate": 0.00018545454545454545, + "loss": 1.2244, + "step": 153 + }, + { + "epoch": 0.28, + "grad_norm": 0.14907376557922342, + "learning_rate": 0.0001866666666666667, + "loss": 1.264, + "step": 154 + }, + { + "epoch": 0.28, + "grad_norm": 0.14276598263036905, + "learning_rate": 0.0001878787878787879, + "loss": 1.2545, + "step": 155 + }, + { + "epoch": 0.28, + "grad_norm": 0.14526753816999002, + "learning_rate": 0.0001890909090909091, + "loss": 1.2912, + "step": 156 + }, + { + "epoch": 0.29, + "grad_norm": 0.1627048894660859, + "learning_rate": 0.0001903030303030303, + "loss": 1.2573, + "step": 157 + }, + { + "epoch": 0.29, + "grad_norm": 0.16405036632332695, + "learning_rate": 0.0001915151515151515, + "loss": 1.2359, + "step": 158 + }, + { + "epoch": 0.29, + "grad_norm": 0.14533427219788658, + "learning_rate": 0.00019272727272727274, + "loss": 1.1718, + "step": 159 + }, + { + "epoch": 0.29, + "grad_norm": 0.13802382666732702, + "learning_rate": 0.00019393939393939395, + "loss": 1.2297, + "step": 160 + }, + { + "epoch": 0.29, + "grad_norm": 0.15620193618511755, + "learning_rate": 0.00019515151515151516, + "loss": 1.2287, + "step": 161 + }, + { + "epoch": 0.3, + "grad_norm": 0.1401696295700075, + "learning_rate": 0.00019636363636363636, + "loss": 1.2231, + "step": 162 + }, + { + "epoch": 0.3, + "grad_norm": 0.15816133304035035, + "learning_rate": 0.0001975757575757576, + "loss": 1.2804, + "step": 163 + }, + { + "epoch": 0.3, + "grad_norm": 0.14626275180535692, + "learning_rate": 0.00019878787878787878, + "loss": 1.2115, + "step": 164 + }, + { + "epoch": 0.3, + "grad_norm": 0.13100680398305042, + "learning_rate": 0.0002, + "loss": 1.2524, + "step": 165 + }, + { + "epoch": 0.3, + "grad_norm": 0.14849458896148926, + "learning_rate": 0.00019999977531546566, + "loss": 1.2161, + "step": 166 + }, + { + "epoch": 0.3, + "grad_norm": 0.13628125499037252, + "learning_rate": 0.0001999991012628722, + "loss": 1.2452, + "step": 167 + }, + { + "epoch": 0.31, + "grad_norm": 0.18617698759086793, + "learning_rate": 0.00019999797784524866, + "loss": 1.2197, + "step": 168 + }, + { + "epoch": 0.31, + "grad_norm": 0.14416004826313944, + "learning_rate": 0.00019999640506764336, + "loss": 1.2796, + "step": 169 + }, + { + "epoch": 0.31, + "grad_norm": 0.13807081386834757, + "learning_rate": 0.0001999943829371238, + "loss": 1.2732, + "step": 170 + }, + { + "epoch": 0.31, + "grad_norm": 0.16526927436841996, + "learning_rate": 0.0001999919114627769, + "loss": 1.3016, + "step": 171 + }, + { + "epoch": 0.31, + "grad_norm": 0.14479672734919855, + "learning_rate": 0.0001999889906557086, + "loss": 1.3106, + "step": 172 + }, + { + "epoch": 0.32, + "grad_norm": 0.13829284006072087, + "learning_rate": 0.00019998562052904418, + "loss": 1.3355, + "step": 173 + }, + { + "epoch": 0.32, + "grad_norm": 0.13484630104616105, + "learning_rate": 0.0001999818010979279, + "loss": 1.1928, + "step": 174 + }, + { + "epoch": 0.32, + "grad_norm": 0.14972770674556948, + "learning_rate": 0.00019997753237952317, + "loss": 1.2559, + "step": 175 + }, + { + "epoch": 0.32, + "grad_norm": 0.13378525020528342, + "learning_rate": 0.00019997281439301218, + "loss": 1.2673, + "step": 176 + }, + { + "epoch": 0.32, + "grad_norm": 0.13242998699125438, + "learning_rate": 0.00019996764715959618, + "loss": 1.2272, + "step": 177 + }, + { + "epoch": 0.32, + "grad_norm": 0.12938881004364342, + "learning_rate": 0.00019996203070249516, + "loss": 1.2035, + "step": 178 + }, + { + "epoch": 0.33, + "grad_norm": 0.13388032350164566, + "learning_rate": 0.00019995596504694763, + "loss": 1.2642, + "step": 179 + }, + { + "epoch": 0.33, + "grad_norm": 0.13893372222140873, + "learning_rate": 0.00019994945022021082, + "loss": 1.2235, + "step": 180 + }, + { + "epoch": 0.33, + "grad_norm": 0.14131710715500717, + "learning_rate": 0.00019994248625156038, + "loss": 1.1095, + "step": 181 + }, + { + "epoch": 0.33, + "grad_norm": 0.13448100369103572, + "learning_rate": 0.0001999350731722902, + "loss": 1.1879, + "step": 182 + }, + { + "epoch": 0.33, + "grad_norm": 0.13862444003216381, + "learning_rate": 0.00019992721101571236, + "loss": 1.2227, + "step": 183 + }, + { + "epoch": 0.34, + "grad_norm": 0.13506115547921224, + "learning_rate": 0.00019991889981715698, + "loss": 1.2833, + "step": 184 + }, + { + "epoch": 0.34, + "grad_norm": 0.13174857502600473, + "learning_rate": 0.00019991013961397197, + "loss": 1.2394, + "step": 185 + }, + { + "epoch": 0.34, + "grad_norm": 0.1290276308949748, + "learning_rate": 0.00019990093044552304, + "loss": 1.2659, + "step": 186 + }, + { + "epoch": 0.34, + "grad_norm": 0.1388159912078538, + "learning_rate": 0.0001998912723531933, + "loss": 1.3052, + "step": 187 + }, + { + "epoch": 0.34, + "grad_norm": 0.1256806205303357, + "learning_rate": 0.00019988116538038325, + "loss": 1.2031, + "step": 188 + }, + { + "epoch": 0.34, + "grad_norm": 0.13256850855084143, + "learning_rate": 0.00019987060957251047, + "loss": 1.211, + "step": 189 + }, + { + "epoch": 0.35, + "grad_norm": 0.13197363789890235, + "learning_rate": 0.0001998596049770095, + "loss": 1.2256, + "step": 190 + }, + { + "epoch": 0.35, + "grad_norm": 0.13277364593883098, + "learning_rate": 0.00019984815164333163, + "loss": 1.2174, + "step": 191 + }, + { + "epoch": 0.35, + "grad_norm": 0.13838072824574454, + "learning_rate": 0.00019983624962294458, + "loss": 1.3128, + "step": 192 + }, + { + "epoch": 0.35, + "grad_norm": 0.13524759737199996, + "learning_rate": 0.0001998238989693323, + "loss": 1.1806, + "step": 193 + }, + { + "epoch": 0.35, + "grad_norm": 0.12669987683723832, + "learning_rate": 0.0001998110997379949, + "loss": 1.2171, + "step": 194 + }, + { + "epoch": 0.36, + "grad_norm": 0.1461834612451898, + "learning_rate": 0.00019979785198644806, + "loss": 1.2231, + "step": 195 + }, + { + "epoch": 0.36, + "grad_norm": 0.13265793664862735, + "learning_rate": 0.0001997841557742232, + "loss": 1.1718, + "step": 196 + }, + { + "epoch": 0.36, + "grad_norm": 0.12842971557690963, + "learning_rate": 0.00019977001116286674, + "loss": 1.2758, + "step": 197 + }, + { + "epoch": 0.36, + "grad_norm": 0.12188365921206967, + "learning_rate": 0.00019975541821594026, + "loss": 1.2457, + "step": 198 + }, + { + "epoch": 0.36, + "grad_norm": 0.12679949330022622, + "learning_rate": 0.00019974037699901993, + "loss": 1.1825, + "step": 199 + }, + { + "epoch": 0.36, + "grad_norm": 0.12949746150357985, + "learning_rate": 0.00019972488757969635, + "loss": 1.2666, + "step": 200 + }, + { + "epoch": 0.37, + "grad_norm": 0.1363496149379173, + "learning_rate": 0.00019970895002757413, + "loss": 1.2031, + "step": 201 + }, + { + "epoch": 0.37, + "grad_norm": 0.14218340110669314, + "learning_rate": 0.0001996925644142717, + "loss": 1.3073, + "step": 202 + }, + { + "epoch": 0.37, + "grad_norm": 0.14234535389443218, + "learning_rate": 0.00019967573081342103, + "loss": 1.2444, + "step": 203 + }, + { + "epoch": 0.37, + "grad_norm": 0.12866113026310516, + "learning_rate": 0.000199658449300667, + "loss": 1.2257, + "step": 204 + }, + { + "epoch": 0.37, + "grad_norm": 0.1324053366295965, + "learning_rate": 0.00019964071995366744, + "loss": 1.2374, + "step": 205 + }, + { + "epoch": 0.38, + "grad_norm": 0.12906841330218152, + "learning_rate": 0.00019962254285209254, + "loss": 1.2334, + "step": 206 + }, + { + "epoch": 0.38, + "grad_norm": 0.13620873131846425, + "learning_rate": 0.00019960391807762463, + "loss": 1.242, + "step": 207 + }, + { + "epoch": 0.38, + "grad_norm": 0.14877366842835116, + "learning_rate": 0.00019958484571395757, + "loss": 1.1772, + "step": 208 + }, + { + "epoch": 0.38, + "grad_norm": 0.13914108740445985, + "learning_rate": 0.00019956532584679675, + "loss": 1.2734, + "step": 209 + }, + { + "epoch": 0.38, + "grad_norm": 0.13198394930310692, + "learning_rate": 0.00019954535856385837, + "loss": 1.1728, + "step": 210 + }, + { + "epoch": 0.38, + "grad_norm": 0.3807736597404611, + "learning_rate": 0.0001995249439548693, + "loss": 1.2089, + "step": 211 + }, + { + "epoch": 0.39, + "grad_norm": 0.1682550557564819, + "learning_rate": 0.00019950408211156636, + "loss": 1.2423, + "step": 212 + }, + { + "epoch": 0.39, + "grad_norm": 0.2102196862007261, + "learning_rate": 0.0001994827731276963, + "loss": 1.2096, + "step": 213 + }, + { + "epoch": 0.39, + "grad_norm": 0.154346739470422, + "learning_rate": 0.00019946101709901514, + "loss": 1.2847, + "step": 214 + }, + { + "epoch": 0.39, + "grad_norm": 0.16416668358293746, + "learning_rate": 0.0001994388141232876, + "loss": 1.2503, + "step": 215 + }, + { + "epoch": 0.39, + "grad_norm": 0.13134349458231093, + "learning_rate": 0.0001994161643002871, + "loss": 1.1231, + "step": 216 + }, + { + "epoch": 0.4, + "grad_norm": 0.15083246389185287, + "learning_rate": 0.00019939306773179497, + "loss": 1.1614, + "step": 217 + }, + { + "epoch": 0.4, + "grad_norm": 0.1742387260929692, + "learning_rate": 0.00019936952452159995, + "loss": 1.3568, + "step": 218 + }, + { + "epoch": 0.4, + "grad_norm": 0.18146911432436974, + "learning_rate": 0.00019934553477549794, + "loss": 1.2686, + "step": 219 + }, + { + "epoch": 0.4, + "grad_norm": 0.1393593447949332, + "learning_rate": 0.00019932109860129154, + "loss": 1.1141, + "step": 220 + }, + { + "epoch": 0.4, + "grad_norm": 0.14856124153987935, + "learning_rate": 0.00019929621610878927, + "loss": 1.234, + "step": 221 + }, + { + "epoch": 0.4, + "grad_norm": 0.14820851831477327, + "learning_rate": 0.0001992708874098054, + "loss": 1.2069, + "step": 222 + }, + { + "epoch": 0.41, + "grad_norm": 0.17893142790958147, + "learning_rate": 0.00019924511261815926, + "loss": 1.1278, + "step": 223 + }, + { + "epoch": 0.41, + "grad_norm": 0.14573658703265605, + "learning_rate": 0.00019921889184967476, + "loss": 1.2292, + "step": 224 + }, + { + "epoch": 0.41, + "grad_norm": 0.15282321197574994, + "learning_rate": 0.00019919222522217996, + "loss": 1.2482, + "step": 225 + }, + { + "epoch": 0.41, + "grad_norm": 0.16342112084119492, + "learning_rate": 0.00019916511285550642, + "loss": 1.2172, + "step": 226 + }, + { + "epoch": 0.41, + "grad_norm": 0.1475889153814455, + "learning_rate": 0.00019913755487148876, + "loss": 1.1747, + "step": 227 + }, + { + "epoch": 0.42, + "grad_norm": 0.163738064491857, + "learning_rate": 0.00019910955139396396, + "loss": 1.3007, + "step": 228 + }, + { + "epoch": 0.42, + "grad_norm": 0.14427856196022704, + "learning_rate": 0.00019908110254877106, + "loss": 1.2464, + "step": 229 + }, + { + "epoch": 0.42, + "grad_norm": 0.20204742660246344, + "learning_rate": 0.00019905220846375032, + "loss": 1.2515, + "step": 230 + }, + { + "epoch": 0.42, + "grad_norm": 0.15134144918251685, + "learning_rate": 0.0001990228692687429, + "loss": 1.1786, + "step": 231 + }, + { + "epoch": 0.42, + "grad_norm": 0.1636590177812163, + "learning_rate": 0.00019899308509558998, + "loss": 1.1974, + "step": 232 + }, + { + "epoch": 0.42, + "grad_norm": 0.15552319776955892, + "learning_rate": 0.00019896285607813244, + "loss": 1.2308, + "step": 233 + }, + { + "epoch": 0.43, + "grad_norm": 0.17104898009833774, + "learning_rate": 0.00019893218235221015, + "loss": 1.2828, + "step": 234 + }, + { + "epoch": 0.43, + "grad_norm": 0.16387378763964267, + "learning_rate": 0.00019890106405566138, + "loss": 1.2779, + "step": 235 + }, + { + "epoch": 0.43, + "grad_norm": 0.14622126798612248, + "learning_rate": 0.00019886950132832207, + "loss": 1.2894, + "step": 236 + }, + { + "epoch": 0.43, + "grad_norm": 0.16619841547518147, + "learning_rate": 0.0001988374943120254, + "loss": 1.2133, + "step": 237 + }, + { + "epoch": 0.43, + "grad_norm": 0.12664832399697545, + "learning_rate": 0.00019880504315060096, + "loss": 1.1807, + "step": 238 + }, + { + "epoch": 0.44, + "grad_norm": 0.2015108381613456, + "learning_rate": 0.00019877214798987426, + "loss": 1.1876, + "step": 239 + }, + { + "epoch": 0.44, + "grad_norm": 0.14468620723711506, + "learning_rate": 0.00019873880897766598, + "loss": 1.1883, + "step": 240 + }, + { + "epoch": 0.44, + "grad_norm": 0.1549018650770757, + "learning_rate": 0.00019870502626379127, + "loss": 1.2896, + "step": 241 + }, + { + "epoch": 0.44, + "grad_norm": 0.1492917963684983, + "learning_rate": 0.0001986708000000593, + "loss": 1.2102, + "step": 242 + }, + { + "epoch": 0.44, + "grad_norm": 0.178606606459489, + "learning_rate": 0.00019863613034027224, + "loss": 1.2292, + "step": 243 + }, + { + "epoch": 0.44, + "grad_norm": 0.206170239681528, + "learning_rate": 0.00019860101744022485, + "loss": 1.2666, + "step": 244 + }, + { + "epoch": 0.45, + "grad_norm": 0.13741043007948167, + "learning_rate": 0.0001985654614577036, + "loss": 1.2022, + "step": 245 + }, + { + "epoch": 0.45, + "grad_norm": 0.1595080658199459, + "learning_rate": 0.0001985294625524861, + "loss": 1.1203, + "step": 246 + }, + { + "epoch": 0.45, + "grad_norm": 0.13929705183853777, + "learning_rate": 0.00019849302088634034, + "loss": 1.1505, + "step": 247 + }, + { + "epoch": 0.45, + "grad_norm": 0.14045247607912964, + "learning_rate": 0.00019845613662302383, + "loss": 1.1897, + "step": 248 + }, + { + "epoch": 0.45, + "grad_norm": 0.15002651347444407, + "learning_rate": 0.00019841880992828306, + "loss": 1.2133, + "step": 249 + }, + { + "epoch": 0.46, + "grad_norm": 0.1567929487810952, + "learning_rate": 0.00019838104096985267, + "loss": 1.129, + "step": 250 + }, + { + "epoch": 0.46, + "grad_norm": 0.15240634543877116, + "learning_rate": 0.00019834282991745464, + "loss": 1.1995, + "step": 251 + }, + { + "epoch": 0.46, + "grad_norm": 0.151807679821367, + "learning_rate": 0.00019830417694279766, + "loss": 1.25, + "step": 252 + }, + { + "epoch": 0.46, + "grad_norm": 0.1648599156208311, + "learning_rate": 0.0001982650822195762, + "loss": 1.2511, + "step": 253 + }, + { + "epoch": 0.46, + "grad_norm": 0.15363401233808713, + "learning_rate": 0.00019822554592346993, + "loss": 1.1794, + "step": 254 + }, + { + "epoch": 0.46, + "grad_norm": 0.1569644350778875, + "learning_rate": 0.00019818556823214268, + "loss": 1.2033, + "step": 255 + }, + { + "epoch": 0.47, + "grad_norm": 0.15996552747294254, + "learning_rate": 0.0001981451493252418, + "loss": 1.2809, + "step": 256 + }, + { + "epoch": 0.47, + "grad_norm": 0.15863104885072635, + "learning_rate": 0.0001981042893843974, + "loss": 1.1667, + "step": 257 + }, + { + "epoch": 0.47, + "grad_norm": 0.2887466971861171, + "learning_rate": 0.0001980629885932214, + "loss": 1.1915, + "step": 258 + }, + { + "epoch": 0.47, + "grad_norm": 0.15233015979193984, + "learning_rate": 0.00019802124713730681, + "loss": 1.1734, + "step": 259 + }, + { + "epoch": 0.47, + "grad_norm": 0.18207884538436447, + "learning_rate": 0.00019797906520422677, + "loss": 1.2575, + "step": 260 + }, + { + "epoch": 0.48, + "grad_norm": 0.17323546756038308, + "learning_rate": 0.0001979364429835339, + "loss": 1.1704, + "step": 261 + }, + { + "epoch": 0.48, + "grad_norm": 0.14592153602263633, + "learning_rate": 0.00019789338066675922, + "loss": 1.192, + "step": 262 + }, + { + "epoch": 0.48, + "grad_norm": 0.19250697792287097, + "learning_rate": 0.0001978498784474115, + "loss": 1.2779, + "step": 263 + }, + { + "epoch": 0.48, + "grad_norm": 0.1429107680887097, + "learning_rate": 0.0001978059365209762, + "loss": 1.2529, + "step": 264 + }, + { + "epoch": 0.48, + "grad_norm": 0.48514081074992116, + "learning_rate": 0.00019776155508491482, + "loss": 1.1917, + "step": 265 + }, + { + "epoch": 0.48, + "grad_norm": 0.1534376167748161, + "learning_rate": 0.0001977167343386638, + "loss": 1.2384, + "step": 266 + }, + { + "epoch": 0.49, + "grad_norm": 0.16744875760032166, + "learning_rate": 0.00019767147448363366, + "loss": 1.1744, + "step": 267 + }, + { + "epoch": 0.49, + "grad_norm": 0.29195538170738244, + "learning_rate": 0.00019762577572320824, + "loss": 1.1418, + "step": 268 + }, + { + "epoch": 0.49, + "grad_norm": 0.1820804717651353, + "learning_rate": 0.00019757963826274357, + "loss": 1.2815, + "step": 269 + }, + { + "epoch": 0.49, + "grad_norm": 0.17522345110441973, + "learning_rate": 0.00019753306230956718, + "loss": 1.2363, + "step": 270 + }, + { + "epoch": 0.49, + "grad_norm": 0.16354388270886613, + "learning_rate": 0.000197486048072977, + "loss": 1.2845, + "step": 271 + }, + { + "epoch": 0.5, + "grad_norm": 0.17590082756401024, + "learning_rate": 0.0001974385957642404, + "loss": 1.192, + "step": 272 + }, + { + "epoch": 0.5, + "grad_norm": 0.17345720403188775, + "learning_rate": 0.00019739070559659347, + "loss": 1.2068, + "step": 273 + }, + { + "epoch": 0.5, + "grad_norm": 0.16070434867766506, + "learning_rate": 0.00019734237778523976, + "loss": 1.189, + "step": 274 + }, + { + "epoch": 0.5, + "grad_norm": 0.18983443066710415, + "learning_rate": 0.0001972936125473495, + "loss": 1.2223, + "step": 275 + }, + { + "epoch": 0.5, + "grad_norm": 0.15724400187981355, + "learning_rate": 0.00019724441010205863, + "loss": 1.2292, + "step": 276 + }, + { + "epoch": 0.5, + "grad_norm": 0.14570729442956004, + "learning_rate": 0.00019719477067046766, + "loss": 1.1421, + "step": 277 + }, + { + "epoch": 0.51, + "grad_norm": 0.1559242881177266, + "learning_rate": 0.00019714469447564088, + "loss": 1.2598, + "step": 278 + }, + { + "epoch": 0.51, + "grad_norm": 0.16621830243096108, + "learning_rate": 0.0001970941817426052, + "loss": 1.3038, + "step": 279 + }, + { + "epoch": 0.51, + "grad_norm": 4.675483994100576, + "learning_rate": 0.00019704323269834927, + "loss": 1.2298, + "step": 280 + }, + { + "epoch": 0.51, + "grad_norm": 0.2769699381619058, + "learning_rate": 0.00019699184757182225, + "loss": 1.2566, + "step": 281 + }, + { + "epoch": 0.51, + "grad_norm": 0.20189839889100783, + "learning_rate": 0.00019694002659393305, + "loss": 1.3181, + "step": 282 + }, + { + "epoch": 0.52, + "grad_norm": 0.19497107359413876, + "learning_rate": 0.00019688776999754912, + "loss": 1.1502, + "step": 283 + }, + { + "epoch": 0.52, + "grad_norm": 0.1982266815755412, + "learning_rate": 0.00019683507801749545, + "loss": 1.2053, + "step": 284 + }, + { + "epoch": 0.52, + "grad_norm": 0.1924340950322314, + "learning_rate": 0.00019678195089055346, + "loss": 1.2149, + "step": 285 + }, + { + "epoch": 0.52, + "grad_norm": 0.1725322346446431, + "learning_rate": 0.00019672838885546008, + "loss": 1.2553, + "step": 286 + }, + { + "epoch": 0.52, + "grad_norm": 0.2535488743520272, + "learning_rate": 0.00019667439215290648, + "loss": 1.2576, + "step": 287 + }, + { + "epoch": 0.52, + "grad_norm": 0.37837586860064026, + "learning_rate": 0.00019661996102553718, + "loss": 1.1815, + "step": 288 + }, + { + "epoch": 0.53, + "grad_norm": 0.17520419597901843, + "learning_rate": 0.00019656509571794878, + "loss": 1.1932, + "step": 289 + }, + { + "epoch": 0.53, + "grad_norm": 0.17056234784450633, + "learning_rate": 0.00019650979647668906, + "loss": 1.163, + "step": 290 + }, + { + "epoch": 0.53, + "grad_norm": 0.18272246580207432, + "learning_rate": 0.00019645406355025565, + "loss": 1.1887, + "step": 291 + }, + { + "epoch": 0.53, + "grad_norm": 0.17889037954429915, + "learning_rate": 0.00019639789718909508, + "loss": 1.2126, + "step": 292 + }, + { + "epoch": 0.53, + "grad_norm": 0.23993734971101424, + "learning_rate": 0.00019634129764560168, + "loss": 1.2485, + "step": 293 + }, + { + "epoch": 0.54, + "grad_norm": 0.1847578318208199, + "learning_rate": 0.00019628426517411625, + "loss": 1.2549, + "step": 294 + }, + { + "epoch": 0.54, + "grad_norm": 0.23185098827091005, + "learning_rate": 0.00019622680003092503, + "loss": 1.1599, + "step": 295 + }, + { + "epoch": 0.54, + "grad_norm": 0.220638044092583, + "learning_rate": 0.00019616890247425866, + "loss": 1.2281, + "step": 296 + }, + { + "epoch": 0.54, + "grad_norm": 0.2303439219825616, + "learning_rate": 0.00019611057276429085, + "loss": 1.2208, + "step": 297 + }, + { + "epoch": 0.54, + "grad_norm": 0.1744807302230573, + "learning_rate": 0.00019605181116313724, + "loss": 1.2303, + "step": 298 + }, + { + "epoch": 0.54, + "grad_norm": 0.17510946821872422, + "learning_rate": 0.0001959926179348543, + "loss": 1.2385, + "step": 299 + }, + { + "epoch": 0.55, + "grad_norm": 0.2218474349751746, + "learning_rate": 0.00019593299334543808, + "loss": 1.2153, + "step": 300 + }, + { + "epoch": 0.55, + "grad_norm": 0.1742070481516402, + "learning_rate": 0.00019587293766282308, + "loss": 1.1628, + "step": 301 + }, + { + "epoch": 0.55, + "grad_norm": 0.15250311715180823, + "learning_rate": 0.00019581245115688094, + "loss": 1.1632, + "step": 302 + }, + { + "epoch": 0.55, + "grad_norm": 0.1744397677094501, + "learning_rate": 0.0001957515340994193, + "loss": 1.254, + "step": 303 + }, + { + "epoch": 0.55, + "grad_norm": 0.1686772182789891, + "learning_rate": 0.00019569018676418053, + "loss": 1.2169, + "step": 304 + }, + { + "epoch": 0.56, + "grad_norm": 0.16404966161017623, + "learning_rate": 0.00019562840942684067, + "loss": 1.2221, + "step": 305 + }, + { + "epoch": 0.56, + "grad_norm": 0.16052011449463713, + "learning_rate": 0.00019556620236500793, + "loss": 1.2045, + "step": 306 + }, + { + "epoch": 0.56, + "grad_norm": 0.16343251390831215, + "learning_rate": 0.0001955035658582216, + "loss": 1.2289, + "step": 307 + }, + { + "epoch": 0.56, + "grad_norm": 0.14387162360389305, + "learning_rate": 0.00019544050018795075, + "loss": 1.1365, + "step": 308 + }, + { + "epoch": 0.56, + "grad_norm": 0.15304461439740238, + "learning_rate": 0.00019537700563759304, + "loss": 1.1931, + "step": 309 + }, + { + "epoch": 0.56, + "grad_norm": 0.17059958050065627, + "learning_rate": 0.00019531308249247327, + "loss": 1.2166, + "step": 310 + }, + { + "epoch": 0.57, + "grad_norm": 0.17633385530926995, + "learning_rate": 0.00019524873103984235, + "loss": 1.2604, + "step": 311 + }, + { + "epoch": 0.57, + "grad_norm": 0.17855814403303746, + "learning_rate": 0.00019518395156887576, + "loss": 1.1615, + "step": 312 + }, + { + "epoch": 0.57, + "grad_norm": 0.19823982444256988, + "learning_rate": 0.00019511874437067243, + "loss": 1.2153, + "step": 313 + }, + { + "epoch": 0.57, + "grad_norm": 0.1570784627362585, + "learning_rate": 0.0001950531097382533, + "loss": 1.2788, + "step": 314 + }, + { + "epoch": 0.57, + "grad_norm": 0.2183125402112695, + "learning_rate": 0.00019498704796656018, + "loss": 1.2966, + "step": 315 + }, + { + "epoch": 0.58, + "grad_norm": 0.18173933276147194, + "learning_rate": 0.00019492055935245418, + "loss": 1.2978, + "step": 316 + }, + { + "epoch": 0.58, + "grad_norm": 0.17483116680914407, + "learning_rate": 0.00019485364419471454, + "loss": 1.258, + "step": 317 + }, + { + "epoch": 0.58, + "grad_norm": 0.15490767356815494, + "learning_rate": 0.0001947863027940374, + "loss": 1.2088, + "step": 318 + }, + { + "epoch": 0.58, + "grad_norm": 0.14703966491934156, + "learning_rate": 0.00019471853545303405, + "loss": 1.2355, + "step": 319 + }, + { + "epoch": 0.58, + "grad_norm": 0.14386689086661608, + "learning_rate": 0.00019465034247623003, + "loss": 1.2583, + "step": 320 + }, + { + "epoch": 0.58, + "grad_norm": 0.18818904376313625, + "learning_rate": 0.00019458172417006347, + "loss": 1.2181, + "step": 321 + }, + { + "epoch": 0.59, + "grad_norm": 0.17393313719202513, + "learning_rate": 0.00019451268084288385, + "loss": 1.3453, + "step": 322 + }, + { + "epoch": 0.59, + "grad_norm": 0.14706823379985753, + "learning_rate": 0.00019444321280495043, + "loss": 1.2234, + "step": 323 + }, + { + "epoch": 0.59, + "grad_norm": 0.15282014755252687, + "learning_rate": 0.00019437332036843118, + "loss": 1.1262, + "step": 324 + }, + { + "epoch": 0.59, + "grad_norm": 0.1618727884326225, + "learning_rate": 0.00019430300384740105, + "loss": 1.3136, + "step": 325 + }, + { + "epoch": 0.59, + "grad_norm": 0.16090758705378874, + "learning_rate": 0.00019423226355784077, + "loss": 1.2055, + "step": 326 + }, + { + "epoch": 0.6, + "grad_norm": 0.15241156801091013, + "learning_rate": 0.00019416109981763526, + "loss": 1.2678, + "step": 327 + }, + { + "epoch": 0.6, + "grad_norm": 0.14216697909809062, + "learning_rate": 0.0001940895129465724, + "loss": 1.2841, + "step": 328 + }, + { + "epoch": 0.6, + "grad_norm": 0.15790232415414485, + "learning_rate": 0.00019401750326634144, + "loss": 1.3119, + "step": 329 + }, + { + "epoch": 0.6, + "grad_norm": 0.13322691961062616, + "learning_rate": 0.0001939450711005316, + "loss": 1.1293, + "step": 330 + }, + { + "epoch": 0.6, + "grad_norm": 0.14075018938835404, + "learning_rate": 0.00019387221677463062, + "loss": 1.2176, + "step": 331 + }, + { + "epoch": 0.6, + "grad_norm": 0.21565975459393052, + "learning_rate": 0.00019379894061602335, + "loss": 1.1723, + "step": 332 + }, + { + "epoch": 0.61, + "grad_norm": 0.17967631394222838, + "learning_rate": 0.00019372524295399013, + "loss": 1.239, + "step": 333 + }, + { + "epoch": 0.61, + "grad_norm": 0.21187969201978435, + "learning_rate": 0.0001936511241197055, + "loss": 1.2207, + "step": 334 + }, + { + "epoch": 0.61, + "grad_norm": 0.16967789022974608, + "learning_rate": 0.00019357658444623654, + "loss": 1.2478, + "step": 335 + }, + { + "epoch": 0.61, + "grad_norm": 0.14810621660374448, + "learning_rate": 0.0001935016242685415, + "loss": 1.1223, + "step": 336 + }, + { + "epoch": 0.61, + "grad_norm": 0.1489106421847434, + "learning_rate": 0.00019342624392346824, + "loss": 1.1592, + "step": 337 + }, + { + "epoch": 0.62, + "grad_norm": 0.17625176068748855, + "learning_rate": 0.0001933504437497527, + "loss": 1.2145, + "step": 338 + }, + { + "epoch": 0.62, + "grad_norm": 0.17250255512763446, + "learning_rate": 0.00019327422408801744, + "loss": 1.2504, + "step": 339 + }, + { + "epoch": 0.62, + "grad_norm": 0.16079375745566896, + "learning_rate": 0.00019319758528077, + "loss": 1.1795, + "step": 340 + }, + { + "epoch": 0.62, + "grad_norm": 0.15454466809245995, + "learning_rate": 0.0001931205276724015, + "loss": 1.2123, + "step": 341 + }, + { + "epoch": 0.62, + "grad_norm": 0.7021323604447972, + "learning_rate": 0.000193043051609185, + "loss": 1.2239, + "step": 342 + }, + { + "epoch": 0.62, + "grad_norm": 0.1572764339385847, + "learning_rate": 0.00019296515743927399, + "loss": 1.2516, + "step": 343 + }, + { + "epoch": 0.63, + "grad_norm": 0.2136637778252246, + "learning_rate": 0.00019288684551270073, + "loss": 1.2321, + "step": 344 + }, + { + "epoch": 0.63, + "grad_norm": 0.4546540454773654, + "learning_rate": 0.00019280811618137484, + "loss": 1.18, + "step": 345 + }, + { + "epoch": 0.63, + "grad_norm": 0.9809832576786297, + "learning_rate": 0.00019272896979908154, + "loss": 1.2081, + "step": 346 + }, + { + "epoch": 0.63, + "grad_norm": 0.5246256133291822, + "learning_rate": 0.00019264940672148018, + "loss": 1.2722, + "step": 347 + }, + { + "epoch": 0.63, + "grad_norm": 0.24941717134878091, + "learning_rate": 0.00019256942730610268, + "loss": 1.2352, + "step": 348 + }, + { + "epoch": 0.64, + "grad_norm": 0.3356068462072784, + "learning_rate": 0.00019248903191235176, + "loss": 1.2225, + "step": 349 + }, + { + "epoch": 0.64, + "grad_norm": 0.19535845221880543, + "learning_rate": 0.00019240822090149944, + "loss": 1.1669, + "step": 350 + }, + { + "epoch": 0.64, + "grad_norm": 0.22306941566416597, + "learning_rate": 0.00019232699463668542, + "loss": 1.2281, + "step": 351 + }, + { + "epoch": 0.64, + "grad_norm": 0.2700134013989352, + "learning_rate": 0.00019224535348291542, + "loss": 1.1939, + "step": 352 + }, + { + "epoch": 0.64, + "grad_norm": 0.24406908935562743, + "learning_rate": 0.00019216329780705953, + "loss": 1.1839, + "step": 353 + }, + { + "epoch": 0.64, + "grad_norm": 0.20465183000217488, + "learning_rate": 0.00019208082797785055, + "loss": 1.2277, + "step": 354 + }, + { + "epoch": 0.65, + "grad_norm": 0.21324820828129784, + "learning_rate": 0.00019199794436588243, + "loss": 1.2072, + "step": 355 + }, + { + "epoch": 0.65, + "grad_norm": 0.1780562512431263, + "learning_rate": 0.00019191464734360844, + "loss": 1.2082, + "step": 356 + }, + { + "epoch": 0.65, + "grad_norm": 0.16547971467615655, + "learning_rate": 0.00019183093728533966, + "loss": 1.1978, + "step": 357 + }, + { + "epoch": 0.65, + "grad_norm": 0.22904664933247196, + "learning_rate": 0.00019174681456724318, + "loss": 1.1562, + "step": 358 + }, + { + "epoch": 0.65, + "grad_norm": 0.1737397860007602, + "learning_rate": 0.00019166227956734052, + "loss": 1.2383, + "step": 359 + }, + { + "epoch": 0.66, + "grad_norm": 0.1589465455917568, + "learning_rate": 0.00019157733266550575, + "loss": 1.2158, + "step": 360 + }, + { + "epoch": 0.66, + "grad_norm": 0.16253126221999709, + "learning_rate": 0.00019149197424346405, + "loss": 1.1952, + "step": 361 + }, + { + "epoch": 0.66, + "grad_norm": 0.22436676243032663, + "learning_rate": 0.00019140620468478968, + "loss": 1.2315, + "step": 362 + }, + { + "epoch": 0.66, + "grad_norm": 0.19291682612950423, + "learning_rate": 0.00019132002437490458, + "loss": 1.2283, + "step": 363 + }, + { + "epoch": 0.66, + "grad_norm": 0.1519191258459668, + "learning_rate": 0.00019123343370107637, + "loss": 1.1151, + "step": 364 + }, + { + "epoch": 0.66, + "grad_norm": 0.17179909633547025, + "learning_rate": 0.00019114643305241676, + "loss": 1.1576, + "step": 365 + }, + { + "epoch": 0.67, + "grad_norm": 0.17992599023321432, + "learning_rate": 0.00019105902281987976, + "loss": 1.2592, + "step": 366 + }, + { + "epoch": 0.67, + "grad_norm": 0.17714099390314453, + "learning_rate": 0.00019097120339625994, + "loss": 1.2578, + "step": 367 + }, + { + "epoch": 0.67, + "grad_norm": 0.2455577642687935, + "learning_rate": 0.00019088297517619055, + "loss": 1.2361, + "step": 368 + }, + { + "epoch": 0.67, + "grad_norm": 0.18398518628783986, + "learning_rate": 0.00019079433855614201, + "loss": 1.1906, + "step": 369 + }, + { + "epoch": 0.67, + "grad_norm": 0.18944067022821645, + "learning_rate": 0.00019070529393441985, + "loss": 1.237, + "step": 370 + }, + { + "epoch": 0.68, + "grad_norm": 0.17639967519781063, + "learning_rate": 0.00019061584171116303, + "loss": 1.1841, + "step": 371 + }, + { + "epoch": 0.68, + "grad_norm": 0.15947129998283005, + "learning_rate": 0.00019052598228834217, + "loss": 1.1722, + "step": 372 + }, + { + "epoch": 0.68, + "grad_norm": 0.1693354353719105, + "learning_rate": 0.00019043571606975777, + "loss": 1.2204, + "step": 373 + }, + { + "epoch": 0.68, + "grad_norm": 0.16236190451963983, + "learning_rate": 0.00019034504346103823, + "loss": 1.1778, + "step": 374 + }, + { + "epoch": 0.68, + "grad_norm": 0.17702370729269964, + "learning_rate": 0.00019025396486963827, + "loss": 1.2065, + "step": 375 + }, + { + "epoch": 0.68, + "grad_norm": 0.19388150596154238, + "learning_rate": 0.00019016248070483687, + "loss": 1.2942, + "step": 376 + }, + { + "epoch": 0.69, + "grad_norm": 0.16152000400319103, + "learning_rate": 0.0001900705913777356, + "loss": 1.1784, + "step": 377 + }, + { + "epoch": 0.69, + "grad_norm": 0.1545267913996029, + "learning_rate": 0.00018997829730125663, + "loss": 1.1829, + "step": 378 + }, + { + "epoch": 0.69, + "grad_norm": 0.15421727704318197, + "learning_rate": 0.000189885598890141, + "loss": 1.177, + "step": 379 + }, + { + "epoch": 0.69, + "grad_norm": 0.1624966073814206, + "learning_rate": 0.00018979249656094673, + "loss": 1.2439, + "step": 380 + }, + { + "epoch": 0.69, + "grad_norm": 0.9490737312904575, + "learning_rate": 0.00018969899073204686, + "loss": 1.2085, + "step": 381 + }, + { + "epoch": 0.7, + "grad_norm": 0.8982903208613089, + "learning_rate": 0.00018960508182362768, + "loss": 1.2347, + "step": 382 + }, + { + "epoch": 0.7, + "grad_norm": 0.3771428474797688, + "learning_rate": 0.00018951077025768678, + "loss": 1.2546, + "step": 383 + }, + { + "epoch": 0.7, + "grad_norm": 0.4776152950069111, + "learning_rate": 0.00018941605645803115, + "loss": 1.2904, + "step": 384 + }, + { + "epoch": 0.7, + "grad_norm": 0.18786943849618057, + "learning_rate": 0.00018932094085027533, + "loss": 1.2122, + "step": 385 + }, + { + "epoch": 0.7, + "grad_norm": 1.6297025984167128, + "learning_rate": 0.0001892254238618394, + "loss": 1.171, + "step": 386 + }, + { + "epoch": 0.7, + "grad_norm": 0.20382660707264952, + "learning_rate": 0.0001891295059219472, + "loss": 1.1874, + "step": 387 + }, + { + "epoch": 0.71, + "grad_norm": 1.3580819775908755, + "learning_rate": 0.00018903318746162429, + "loss": 1.1531, + "step": 388 + }, + { + "epoch": 0.71, + "grad_norm": 0.43619056173016185, + "learning_rate": 0.00018893646891369602, + "loss": 1.2289, + "step": 389 + }, + { + "epoch": 0.71, + "grad_norm": 0.29385240705823723, + "learning_rate": 0.0001888393507127856, + "loss": 1.2073, + "step": 390 + }, + { + "epoch": 0.71, + "grad_norm": 0.3136086850525623, + "learning_rate": 0.00018874183329531223, + "loss": 1.1898, + "step": 391 + }, + { + "epoch": 0.71, + "grad_norm": 0.2307767217662562, + "learning_rate": 0.000188643917099489, + "loss": 1.207, + "step": 392 + }, + { + "epoch": 0.72, + "grad_norm": 0.18703654518135468, + "learning_rate": 0.000188545602565321, + "loss": 1.1688, + "step": 393 + }, + { + "epoch": 0.72, + "grad_norm": 0.4809351333934126, + "learning_rate": 0.00018844689013460336, + "loss": 1.2519, + "step": 394 + }, + { + "epoch": 0.72, + "grad_norm": 0.40370101428544464, + "learning_rate": 0.0001883477802509192, + "loss": 1.2411, + "step": 395 + }, + { + "epoch": 0.72, + "grad_norm": 0.2858848636432859, + "learning_rate": 0.00018824827335963765, + "loss": 1.194, + "step": 396 + }, + { + "epoch": 0.72, + "grad_norm": 0.32195602638999565, + "learning_rate": 0.000188148369907912, + "loss": 1.0988, + "step": 397 + }, + { + "epoch": 0.72, + "grad_norm": 0.23790306908901832, + "learning_rate": 0.00018804807034467733, + "loss": 1.2237, + "step": 398 + }, + { + "epoch": 0.73, + "grad_norm": 0.20126988767112128, + "learning_rate": 0.0001879473751206489, + "loss": 1.2731, + "step": 399 + }, + { + "epoch": 0.73, + "grad_norm": 0.3336380339194037, + "learning_rate": 0.00018784628468831996, + "loss": 1.2369, + "step": 400 + }, + { + "epoch": 0.73, + "grad_norm": 0.5054330893305989, + "learning_rate": 0.0001877447995019596, + "loss": 1.2443, + "step": 401 + }, + { + "epoch": 0.73, + "grad_norm": 0.2297866279715136, + "learning_rate": 0.0001876429200176108, + "loss": 1.2376, + "step": 402 + }, + { + "epoch": 0.73, + "grad_norm": 0.39350567174184636, + "learning_rate": 0.00018754064669308858, + "loss": 1.2126, + "step": 403 + }, + { + "epoch": 0.74, + "grad_norm": 0.2025361091435325, + "learning_rate": 0.00018743797998797753, + "loss": 1.2224, + "step": 404 + }, + { + "epoch": 0.74, + "grad_norm": 0.31824903419753814, + "learning_rate": 0.00018733492036363005, + "loss": 1.2942, + "step": 405 + }, + { + "epoch": 0.74, + "grad_norm": 2.4642066748643017, + "learning_rate": 0.00018723146828316428, + "loss": 1.2515, + "step": 406 + }, + { + "epoch": 0.74, + "grad_norm": 0.7833055646295342, + "learning_rate": 0.00018712762421146183, + "loss": 1.2207, + "step": 407 + }, + { + "epoch": 0.74, + "grad_norm": 0.2810249021786599, + "learning_rate": 0.00018702338861516587, + "loss": 1.2755, + "step": 408 + }, + { + "epoch": 0.74, + "grad_norm": 0.460995724241333, + "learning_rate": 0.0001869187619626789, + "loss": 1.2856, + "step": 409 + }, + { + "epoch": 0.75, + "grad_norm": 0.49139203044984286, + "learning_rate": 0.00018681374472416073, + "loss": 1.2392, + "step": 410 + }, + { + "epoch": 0.75, + "grad_norm": 2.691604613969173, + "learning_rate": 0.0001867083373715264, + "loss": 1.2992, + "step": 411 + }, + { + "epoch": 0.75, + "grad_norm": 0.8014112047318501, + "learning_rate": 0.00018660254037844388, + "loss": 1.2683, + "step": 412 + }, + { + "epoch": 0.75, + "grad_norm": 0.31614342841331383, + "learning_rate": 0.00018649635422033215, + "loss": 1.2356, + "step": 413 + }, + { + "epoch": 0.75, + "grad_norm": 0.2559855196513244, + "learning_rate": 0.000186389779374359, + "loss": 1.2053, + "step": 414 + }, + { + "epoch": 0.76, + "grad_norm": 1.6613999986014714, + "learning_rate": 0.0001862828163194388, + "loss": 1.2568, + "step": 415 + }, + { + "epoch": 0.76, + "grad_norm": 0.27190082167109786, + "learning_rate": 0.0001861754655362304, + "loss": 1.1288, + "step": 416 + }, + { + "epoch": 0.76, + "grad_norm": 0.43819582203066043, + "learning_rate": 0.00018606772750713504, + "loss": 1.1758, + "step": 417 + }, + { + "epoch": 0.76, + "grad_norm": 0.41738497400383384, + "learning_rate": 0.0001859596027162941, + "loss": 1.2993, + "step": 418 + }, + { + "epoch": 0.76, + "grad_norm": 0.2595142634740817, + "learning_rate": 0.000185851091649587, + "loss": 1.269, + "step": 419 + }, + { + "epoch": 0.77, + "grad_norm": 0.2795314201020271, + "learning_rate": 0.00018574219479462878, + "loss": 1.1915, + "step": 420 + }, + { + "epoch": 0.77, + "grad_norm": 0.2502992494749938, + "learning_rate": 0.00018563291264076835, + "loss": 1.2157, + "step": 421 + }, + { + "epoch": 0.77, + "grad_norm": 0.27422512335538374, + "learning_rate": 0.00018552324567908585, + "loss": 1.2541, + "step": 422 + }, + { + "epoch": 0.77, + "grad_norm": 1.3360989016060905, + "learning_rate": 0.00018541319440239066, + "loss": 1.2666, + "step": 423 + }, + { + "epoch": 0.77, + "grad_norm": 1.9441131913572127, + "learning_rate": 0.00018530275930521924, + "loss": 1.2924, + "step": 424 + }, + { + "epoch": 0.77, + "grad_norm": 0.3772373301771213, + "learning_rate": 0.00018519194088383273, + "loss": 1.1952, + "step": 425 + }, + { + "epoch": 0.78, + "grad_norm": 0.22091753616251295, + "learning_rate": 0.0001850807396362148, + "loss": 1.1858, + "step": 426 + }, + { + "epoch": 0.78, + "grad_norm": 0.21423504993321807, + "learning_rate": 0.00018496915606206951, + "loss": 1.2245, + "step": 427 + }, + { + "epoch": 0.78, + "grad_norm": 0.5238946238105926, + "learning_rate": 0.00018485719066281892, + "loss": 1.2351, + "step": 428 + }, + { + "epoch": 0.78, + "grad_norm": 0.3037858949309141, + "learning_rate": 0.0001847448439416009, + "loss": 1.1669, + "step": 429 + }, + { + "epoch": 0.78, + "grad_norm": 0.21553286799952254, + "learning_rate": 0.00018463211640326686, + "loss": 1.1454, + "step": 430 + }, + { + "epoch": 0.79, + "grad_norm": 0.202875547805464, + "learning_rate": 0.0001845190085543795, + "loss": 1.188, + "step": 431 + }, + { + "epoch": 0.79, + "grad_norm": 0.24385408620619278, + "learning_rate": 0.00018440552090321047, + "loss": 1.2307, + "step": 432 + }, + { + "epoch": 0.79, + "grad_norm": 0.23793944272430378, + "learning_rate": 0.0001842916539597382, + "loss": 1.2253, + "step": 433 + }, + { + "epoch": 0.79, + "grad_norm": 0.17062488448810784, + "learning_rate": 0.0001841774082356455, + "loss": 1.2681, + "step": 434 + }, + { + "epoch": 0.79, + "grad_norm": 0.20003742001916064, + "learning_rate": 0.00018406278424431736, + "loss": 1.2428, + "step": 435 + }, + { + "epoch": 0.79, + "grad_norm": 0.2696052831337752, + "learning_rate": 0.0001839477825008385, + "loss": 1.2945, + "step": 436 + }, + { + "epoch": 0.8, + "grad_norm": 0.23302960820538443, + "learning_rate": 0.00018383240352199117, + "loss": 1.1718, + "step": 437 + }, + { + "epoch": 0.8, + "grad_norm": 0.38187833239777536, + "learning_rate": 0.00018371664782625287, + "loss": 1.2311, + "step": 438 + }, + { + "epoch": 0.8, + "grad_norm": 0.4052561772533732, + "learning_rate": 0.00018360051593379383, + "loss": 1.1639, + "step": 439 + }, + { + "epoch": 0.8, + "grad_norm": 0.23379763821020377, + "learning_rate": 0.0001834840083664749, + "loss": 1.1809, + "step": 440 + }, + { + "epoch": 0.8, + "grad_norm": 0.2368414607613928, + "learning_rate": 0.00018336712564784503, + "loss": 1.2357, + "step": 441 + }, + { + "epoch": 0.81, + "grad_norm": 0.20230633988510938, + "learning_rate": 0.000183249868303139, + "loss": 1.1851, + "step": 442 + }, + { + "epoch": 0.81, + "grad_norm": 0.170513157244292, + "learning_rate": 0.00018313223685927505, + "loss": 1.205, + "step": 443 + }, + { + "epoch": 0.81, + "grad_norm": 0.18082295035256266, + "learning_rate": 0.0001830142318448525, + "loss": 1.2305, + "step": 444 + }, + { + "epoch": 0.81, + "grad_norm": 0.18286299264146286, + "learning_rate": 0.00018289585379014942, + "loss": 1.23, + "step": 445 + }, + { + "epoch": 0.81, + "grad_norm": 0.17868104103482751, + "learning_rate": 0.00018277710322712012, + "loss": 1.2894, + "step": 446 + }, + { + "epoch": 0.81, + "grad_norm": 0.1820411127336495, + "learning_rate": 0.00018265798068939294, + "loss": 1.2395, + "step": 447 + }, + { + "epoch": 0.82, + "grad_norm": 0.1738237541783663, + "learning_rate": 0.0001825384867122677, + "loss": 1.1576, + "step": 448 + }, + { + "epoch": 0.82, + "grad_norm": 0.15693445967795147, + "learning_rate": 0.0001824186218327134, + "loss": 1.0809, + "step": 449 + }, + { + "epoch": 0.82, + "grad_norm": 0.18509145652208978, + "learning_rate": 0.00018229838658936564, + "loss": 1.2717, + "step": 450 + }, + { + "epoch": 0.82, + "grad_norm": 0.14702488366564262, + "learning_rate": 0.0001821777815225245, + "loss": 1.2236, + "step": 451 + }, + { + "epoch": 0.82, + "grad_norm": 0.1828399354418095, + "learning_rate": 0.00018205680717415187, + "loss": 1.2565, + "step": 452 + }, + { + "epoch": 0.83, + "grad_norm": 0.17460984182013486, + "learning_rate": 0.00018193546408786898, + "loss": 1.2474, + "step": 453 + }, + { + "epoch": 0.83, + "grad_norm": 0.2001623109673152, + "learning_rate": 0.00018181375280895416, + "loss": 1.2544, + "step": 454 + }, + { + "epoch": 0.83, + "grad_norm": 0.17228631742863837, + "learning_rate": 0.00018169167388434025, + "loss": 1.1851, + "step": 455 + }, + { + "epoch": 0.83, + "grad_norm": 0.1644862232819482, + "learning_rate": 0.00018156922786261216, + "loss": 1.1817, + "step": 456 + }, + { + "epoch": 0.83, + "grad_norm": 0.19775186397477057, + "learning_rate": 0.00018144641529400446, + "loss": 1.257, + "step": 457 + }, + { + "epoch": 0.83, + "grad_norm": 0.1626281991220394, + "learning_rate": 0.00018132323673039885, + "loss": 1.2277, + "step": 458 + }, + { + "epoch": 0.84, + "grad_norm": 0.16158256707311264, + "learning_rate": 0.00018119969272532166, + "loss": 1.1624, + "step": 459 + }, + { + "epoch": 0.84, + "grad_norm": 0.17705809207051687, + "learning_rate": 0.00018107578383394146, + "loss": 1.2421, + "step": 460 + }, + { + "epoch": 0.84, + "grad_norm": 0.17639060401882287, + "learning_rate": 0.00018095151061306645, + "loss": 1.285, + "step": 461 + }, + { + "epoch": 0.84, + "grad_norm": 0.16918796486576196, + "learning_rate": 0.00018082687362114212, + "loss": 1.2606, + "step": 462 + }, + { + "epoch": 0.84, + "grad_norm": 0.15968377185965665, + "learning_rate": 0.0001807018734182485, + "loss": 1.194, + "step": 463 + }, + { + "epoch": 0.85, + "grad_norm": 0.17537027967397978, + "learning_rate": 0.00018057651056609784, + "loss": 1.1594, + "step": 464 + }, + { + "epoch": 0.85, + "grad_norm": 0.15753665403127565, + "learning_rate": 0.00018045078562803203, + "loss": 1.1382, + "step": 465 + }, + { + "epoch": 0.85, + "grad_norm": 0.17121200763916436, + "learning_rate": 0.00018032469916902003, + "loss": 1.2286, + "step": 466 + }, + { + "epoch": 0.85, + "grad_norm": 0.19120510133331003, + "learning_rate": 0.00018019825175565542, + "loss": 1.2835, + "step": 467 + }, + { + "epoch": 0.85, + "grad_norm": 0.1671735980123817, + "learning_rate": 0.0001800714439561538, + "loss": 1.2201, + "step": 468 + }, + { + "epoch": 0.85, + "grad_norm": 0.1579098534969056, + "learning_rate": 0.00017994427634035015, + "loss": 1.2156, + "step": 469 + }, + { + "epoch": 0.86, + "grad_norm": 0.1746075421158512, + "learning_rate": 0.00017981674947969636, + "loss": 1.2049, + "step": 470 + }, + { + "epoch": 0.86, + "grad_norm": 0.16878182886737042, + "learning_rate": 0.00017968886394725874, + "loss": 1.2204, + "step": 471 + }, + { + "epoch": 0.86, + "grad_norm": 0.16725956538286493, + "learning_rate": 0.00017956062031771535, + "loss": 1.2091, + "step": 472 + }, + { + "epoch": 0.86, + "grad_norm": 0.18877845951705005, + "learning_rate": 0.00017943201916735335, + "loss": 1.241, + "step": 473 + }, + { + "epoch": 0.86, + "grad_norm": 0.180337447476004, + "learning_rate": 0.00017930306107406653, + "loss": 1.2253, + "step": 474 + }, + { + "epoch": 0.87, + "grad_norm": 0.16688572366717752, + "learning_rate": 0.0001791737466173527, + "loss": 1.239, + "step": 475 + }, + { + "epoch": 0.87, + "grad_norm": 0.15385917621135983, + "learning_rate": 0.00017904407637831099, + "loss": 1.2476, + "step": 476 + }, + { + "epoch": 0.87, + "grad_norm": 0.17725645269055587, + "learning_rate": 0.00017891405093963938, + "loss": 1.2599, + "step": 477 + }, + { + "epoch": 0.87, + "grad_norm": 0.14758551718901028, + "learning_rate": 0.00017878367088563195, + "loss": 1.2249, + "step": 478 + }, + { + "epoch": 0.87, + "grad_norm": 0.15216962408661316, + "learning_rate": 0.00017865293680217637, + "loss": 1.2346, + "step": 479 + }, + { + "epoch": 0.87, + "grad_norm": 0.16679282848599514, + "learning_rate": 0.00017852184927675112, + "loss": 1.2443, + "step": 480 + }, + { + "epoch": 0.88, + "grad_norm": 0.16723562739069214, + "learning_rate": 0.00017839040889842305, + "loss": 1.224, + "step": 481 + }, + { + "epoch": 0.88, + "grad_norm": 0.15922276239929914, + "learning_rate": 0.00017825861625784455, + "loss": 1.2739, + "step": 482 + }, + { + "epoch": 0.88, + "grad_norm": 0.1510107938469514, + "learning_rate": 0.00017812647194725094, + "loss": 1.1764, + "step": 483 + }, + { + "epoch": 0.88, + "grad_norm": 0.16446999054333494, + "learning_rate": 0.00017799397656045792, + "loss": 1.2498, + "step": 484 + }, + { + "epoch": 0.88, + "grad_norm": 0.18566301651865832, + "learning_rate": 0.00017786113069285874, + "loss": 1.232, + "step": 485 + }, + { + "epoch": 0.89, + "grad_norm": 0.20592971655306183, + "learning_rate": 0.00017772793494142167, + "loss": 1.1586, + "step": 486 + }, + { + "epoch": 0.89, + "grad_norm": 0.1581947714375729, + "learning_rate": 0.00017759438990468725, + "loss": 1.2502, + "step": 487 + }, + { + "epoch": 0.89, + "grad_norm": 0.15466760695169174, + "learning_rate": 0.00017746049618276545, + "loss": 1.1605, + "step": 488 + }, + { + "epoch": 0.89, + "grad_norm": 0.16041506222444918, + "learning_rate": 0.00017732625437733335, + "loss": 1.2778, + "step": 489 + }, + { + "epoch": 0.89, + "grad_norm": 0.17168109661676773, + "learning_rate": 0.0001771916650916321, + "loss": 1.262, + "step": 490 + }, + { + "epoch": 0.89, + "grad_norm": 0.1788973186498254, + "learning_rate": 0.00017705672893046425, + "loss": 1.2111, + "step": 491 + }, + { + "epoch": 0.9, + "grad_norm": 0.1759644359346382, + "learning_rate": 0.00017692144650019125, + "loss": 1.2546, + "step": 492 + }, + { + "epoch": 0.9, + "grad_norm": 0.15710749736088767, + "learning_rate": 0.0001767858184087304, + "loss": 1.2487, + "step": 493 + }, + { + "epoch": 0.9, + "grad_norm": 0.1648235522911144, + "learning_rate": 0.00017664984526555248, + "loss": 1.2469, + "step": 494 + }, + { + "epoch": 0.9, + "grad_norm": 0.15452607969890703, + "learning_rate": 0.0001765135276816787, + "loss": 1.1855, + "step": 495 + }, + { + "epoch": 0.9, + "grad_norm": 0.1837695597880219, + "learning_rate": 0.00017637686626967812, + "loss": 1.2185, + "step": 496 + }, + { + "epoch": 0.91, + "grad_norm": 0.15861390725762364, + "learning_rate": 0.00017623986164366486, + "loss": 1.2056, + "step": 497 + }, + { + "epoch": 0.91, + "grad_norm": 0.1663260460966887, + "learning_rate": 0.00017610251441929533, + "loss": 1.1242, + "step": 498 + }, + { + "epoch": 0.91, + "grad_norm": 0.1803309720529981, + "learning_rate": 0.00017596482521376546, + "loss": 1.2938, + "step": 499 + }, + { + "epoch": 0.91, + "grad_norm": 0.14909085011764342, + "learning_rate": 0.00017582679464580797, + "loss": 1.1953, + "step": 500 + }, + { + "epoch": 0.91, + "grad_norm": 0.15779022242482527, + "learning_rate": 0.00017568842333568952, + "loss": 1.2792, + "step": 501 + }, + { + "epoch": 0.91, + "grad_norm": 0.1553327313967345, + "learning_rate": 0.00017554971190520798, + "loss": 1.2286, + "step": 502 + }, + { + "epoch": 0.92, + "grad_norm": 0.16363964666273684, + "learning_rate": 0.00017541066097768963, + "loss": 1.2753, + "step": 503 + }, + { + "epoch": 0.92, + "grad_norm": 0.16668099163659675, + "learning_rate": 0.00017527127117798635, + "loss": 1.185, + "step": 504 + }, + { + "epoch": 0.92, + "grad_norm": 0.13957568397594883, + "learning_rate": 0.0001751315431324727, + "loss": 1.143, + "step": 505 + }, + { + "epoch": 0.92, + "grad_norm": 0.1553111736740035, + "learning_rate": 0.00017499147746904335, + "loss": 1.2492, + "step": 506 + }, + { + "epoch": 0.92, + "grad_norm": 0.1691517335818193, + "learning_rate": 0.00017485107481711012, + "loss": 1.2619, + "step": 507 + }, + { + "epoch": 0.93, + "grad_norm": 0.15480883994395986, + "learning_rate": 0.00017471033580759903, + "loss": 1.2396, + "step": 508 + }, + { + "epoch": 0.93, + "grad_norm": 0.1451690143792058, + "learning_rate": 0.00017456926107294765, + "loss": 1.1732, + "step": 509 + }, + { + "epoch": 0.93, + "grad_norm": 0.1524398957482947, + "learning_rate": 0.00017442785124710227, + "loss": 1.2083, + "step": 510 + }, + { + "epoch": 0.93, + "grad_norm": 0.16790264977550012, + "learning_rate": 0.0001742861069655148, + "loss": 1.2201, + "step": 511 + }, + { + "epoch": 0.93, + "grad_norm": 0.1529847047636337, + "learning_rate": 0.0001741440288651403, + "loss": 1.243, + "step": 512 + }, + { + "epoch": 0.93, + "grad_norm": 0.1485875402374676, + "learning_rate": 0.00017400161758443375, + "loss": 1.2053, + "step": 513 + }, + { + "epoch": 0.94, + "grad_norm": 0.16950094279079617, + "learning_rate": 0.00017385887376334742, + "loss": 1.1944, + "step": 514 + }, + { + "epoch": 0.94, + "grad_norm": 0.15289337084330445, + "learning_rate": 0.00017371579804332789, + "loss": 1.2503, + "step": 515 + }, + { + "epoch": 0.94, + "grad_norm": 0.15337063655317973, + "learning_rate": 0.00017357239106731317, + "loss": 1.3092, + "step": 516 + }, + { + "epoch": 0.94, + "grad_norm": 0.1458937961897621, + "learning_rate": 0.00017342865347972988, + "loss": 1.2244, + "step": 517 + }, + { + "epoch": 0.94, + "grad_norm": 0.19897118610161338, + "learning_rate": 0.00017328458592649027, + "loss": 1.2238, + "step": 518 + }, + { + "epoch": 0.95, + "grad_norm": 0.15850805264911003, + "learning_rate": 0.00017314018905498931, + "loss": 1.195, + "step": 519 + }, + { + "epoch": 0.95, + "grad_norm": 0.14445183074519347, + "learning_rate": 0.00017299546351410197, + "loss": 1.1974, + "step": 520 + }, + { + "epoch": 0.95, + "grad_norm": 0.18180731722745677, + "learning_rate": 0.00017285040995418, + "loss": 1.2107, + "step": 521 + }, + { + "epoch": 0.95, + "grad_norm": 0.14943874953193587, + "learning_rate": 0.00017270502902704926, + "loss": 1.1843, + "step": 522 + }, + { + "epoch": 0.95, + "grad_norm": 0.15767466790910512, + "learning_rate": 0.00017255932138600665, + "loss": 1.1409, + "step": 523 + }, + { + "epoch": 0.95, + "grad_norm": 0.16402921378654775, + "learning_rate": 0.00017241328768581726, + "loss": 1.2135, + "step": 524 + }, + { + "epoch": 0.96, + "grad_norm": 0.15526246786505485, + "learning_rate": 0.00017226692858271134, + "loss": 1.2255, + "step": 525 + }, + { + "epoch": 0.96, + "grad_norm": 0.16608155892622348, + "learning_rate": 0.00017212024473438147, + "loss": 1.2691, + "step": 526 + }, + { + "epoch": 0.96, + "grad_norm": 0.14913271520144072, + "learning_rate": 0.00017197323679997943, + "loss": 1.1574, + "step": 527 + }, + { + "epoch": 0.96, + "grad_norm": 0.1471910610421707, + "learning_rate": 0.00017182590544011347, + "loss": 1.2774, + "step": 528 + }, + { + "epoch": 0.96, + "grad_norm": 0.1417464185073962, + "learning_rate": 0.00017167825131684513, + "loss": 1.2446, + "step": 529 + }, + { + "epoch": 0.97, + "grad_norm": 0.1610488125634495, + "learning_rate": 0.0001715302750936864, + "loss": 1.2862, + "step": 530 + }, + { + "epoch": 0.97, + "grad_norm": 0.20227974555123074, + "learning_rate": 0.00017138197743559654, + "loss": 1.207, + "step": 531 + }, + { + "epoch": 0.97, + "grad_norm": 0.1355502559749413, + "learning_rate": 0.00017123335900897946, + "loss": 1.1019, + "step": 532 + }, + { + "epoch": 0.97, + "grad_norm": 0.1559423167028215, + "learning_rate": 0.00017108442048168038, + "loss": 1.2549, + "step": 533 + }, + { + "epoch": 0.97, + "grad_norm": 0.15898973818185586, + "learning_rate": 0.00017093516252298296, + "loss": 1.2705, + "step": 534 + }, + { + "epoch": 0.97, + "grad_norm": 0.15169569998999652, + "learning_rate": 0.00017078558580360632, + "loss": 1.2454, + "step": 535 + }, + { + "epoch": 0.98, + "grad_norm": 0.15976111665597925, + "learning_rate": 0.00017063569099570196, + "loss": 1.2585, + "step": 536 + }, + { + "epoch": 0.98, + "grad_norm": 0.14488877221999352, + "learning_rate": 0.00017048547877285077, + "loss": 1.2169, + "step": 537 + }, + { + "epoch": 0.98, + "grad_norm": 0.14919533098974924, + "learning_rate": 0.00017033494981006002, + "loss": 1.2358, + "step": 538 + }, + { + "epoch": 0.98, + "grad_norm": 0.15251746717084805, + "learning_rate": 0.00017018410478376032, + "loss": 1.2241, + "step": 539 + }, + { + "epoch": 0.98, + "grad_norm": 0.1456060482002663, + "learning_rate": 0.00017003294437180255, + "loss": 1.2298, + "step": 540 + }, + { + "epoch": 0.99, + "grad_norm": 0.17048886778787248, + "learning_rate": 0.00016988146925345484, + "loss": 1.2707, + "step": 541 + }, + { + "epoch": 0.99, + "grad_norm": 0.15304381059310815, + "learning_rate": 0.00016972968010939954, + "loss": 1.1498, + "step": 542 + }, + { + "epoch": 0.99, + "grad_norm": 0.16590055969071696, + "learning_rate": 0.0001695775776217301, + "loss": 1.2481, + "step": 543 + }, + { + "epoch": 0.99, + "grad_norm": 0.14299575837437278, + "learning_rate": 0.00016942516247394807, + "loss": 1.2058, + "step": 544 + }, + { + "epoch": 0.99, + "grad_norm": 0.14275107775859475, + "learning_rate": 0.00016927243535095997, + "loss": 1.2178, + "step": 545 + }, + { + "epoch": 0.99, + "grad_norm": 0.1554250137491414, + "learning_rate": 0.0001691193969390742, + "loss": 1.1197, + "step": 546 + }, + { + "epoch": 1.0, + "grad_norm": 0.16958418467021688, + "learning_rate": 0.0001689660479259981, + "loss": 1.1768, + "step": 547 + }, + { + "epoch": 1.0, + "grad_norm": 0.1546216583314497, + "learning_rate": 0.00016881238900083473, + "loss": 1.1741, + "step": 548 + }, + { + "epoch": 1.0, + "grad_norm": 0.15287056494787424, + "learning_rate": 0.0001686584208540797, + "loss": 1.2328, + "step": 549 + }, + { + "epoch": 1.0, + "grad_norm": 0.1419329373337611, + "learning_rate": 0.0001685041441776183, + "loss": 1.1743, + "step": 550 + }, + { + "epoch": 1.0, + "grad_norm": 0.15662192296485464, + "learning_rate": 0.00016834955966472213, + "loss": 1.1861, + "step": 551 + }, + { + "epoch": 1.01, + "grad_norm": 0.16304778894798697, + "learning_rate": 0.00016819466801004621, + "loss": 1.2045, + "step": 552 + }, + { + "epoch": 1.01, + "grad_norm": 0.15690090424895087, + "learning_rate": 0.00016803946990962576, + "loss": 1.1553, + "step": 553 + }, + { + "epoch": 1.01, + "grad_norm": 0.15227523196027068, + "learning_rate": 0.000167883966060873, + "loss": 1.126, + "step": 554 + }, + { + "epoch": 1.01, + "grad_norm": 0.15442134859978873, + "learning_rate": 0.00016772815716257412, + "loss": 1.169, + "step": 555 + }, + { + "epoch": 1.01, + "grad_norm": 0.16235578615890994, + "learning_rate": 0.00016757204391488613, + "loss": 1.198, + "step": 556 + }, + { + "epoch": 1.01, + "grad_norm": 0.16631365293435893, + "learning_rate": 0.00016741562701933367, + "loss": 1.2191, + "step": 557 + }, + { + "epoch": 1.02, + "grad_norm": 0.15668252106453312, + "learning_rate": 0.0001672589071788059, + "loss": 1.1094, + "step": 558 + }, + { + "epoch": 1.02, + "grad_norm": 0.14883987789397163, + "learning_rate": 0.00016710188509755329, + "loss": 1.0653, + "step": 559 + }, + { + "epoch": 1.02, + "grad_norm": 0.14723412204861966, + "learning_rate": 0.00016694456148118452, + "loss": 1.0632, + "step": 560 + }, + { + "epoch": 1.02, + "grad_norm": 0.2694273773199372, + "learning_rate": 0.00016678693703666325, + "loss": 1.1577, + "step": 561 + }, + { + "epoch": 1.02, + "grad_norm": 0.3010203762394184, + "learning_rate": 0.00016662901247230502, + "loss": 1.1049, + "step": 562 + }, + { + "epoch": 1.03, + "grad_norm": 0.16960159731526514, + "learning_rate": 0.0001664707884977739, + "loss": 1.2185, + "step": 563 + }, + { + "epoch": 1.03, + "grad_norm": 0.1593257551859938, + "learning_rate": 0.00016631226582407952, + "loss": 1.1085, + "step": 564 + }, + { + "epoch": 1.03, + "grad_norm": 0.1695114549114674, + "learning_rate": 0.00016615344516357378, + "loss": 1.1863, + "step": 565 + }, + { + "epoch": 1.03, + "grad_norm": 0.17116727204552032, + "learning_rate": 0.00016599432722994755, + "loss": 1.0921, + "step": 566 + }, + { + "epoch": 1.03, + "grad_norm": 0.16265948588203852, + "learning_rate": 0.00016583491273822765, + "loss": 1.1905, + "step": 567 + }, + { + "epoch": 1.03, + "grad_norm": 0.16500105151611763, + "learning_rate": 0.00016567520240477344, + "loss": 1.1477, + "step": 568 + }, + { + "epoch": 1.04, + "grad_norm": 0.15445707774433456, + "learning_rate": 0.00016551519694727381, + "loss": 1.1247, + "step": 569 + }, + { + "epoch": 1.04, + "grad_norm": 0.17740657850033337, + "learning_rate": 0.0001653548970847438, + "loss": 1.0164, + "step": 570 + }, + { + "epoch": 1.04, + "grad_norm": 0.16152198390194278, + "learning_rate": 0.0001651943035375214, + "loss": 1.1779, + "step": 571 + }, + { + "epoch": 1.04, + "grad_norm": 0.16299638453443582, + "learning_rate": 0.00016503341702726426, + "loss": 1.1847, + "step": 572 + }, + { + "epoch": 1.04, + "grad_norm": 0.1486770667934901, + "learning_rate": 0.00016487223827694672, + "loss": 1.1002, + "step": 573 + }, + { + "epoch": 1.05, + "grad_norm": 0.15907088594322072, + "learning_rate": 0.00016471076801085615, + "loss": 1.1127, + "step": 574 + }, + { + "epoch": 1.05, + "grad_norm": 0.15491780431797444, + "learning_rate": 0.00016454900695458998, + "loss": 1.1196, + "step": 575 + }, + { + "epoch": 1.05, + "grad_norm": 0.16584586610927665, + "learning_rate": 0.00016438695583505242, + "loss": 1.1441, + "step": 576 + }, + { + "epoch": 1.05, + "grad_norm": 0.15197831968756778, + "learning_rate": 0.00016422461538045103, + "loss": 1.0532, + "step": 577 + }, + { + "epoch": 1.05, + "grad_norm": 0.15669296934233234, + "learning_rate": 0.00016406198632029357, + "loss": 1.1753, + "step": 578 + }, + { + "epoch": 1.05, + "grad_norm": 0.1523894998655591, + "learning_rate": 0.0001638990693853848, + "loss": 1.1339, + "step": 579 + }, + { + "epoch": 1.06, + "grad_norm": 0.1570057583413597, + "learning_rate": 0.000163735865307823, + "loss": 1.1117, + "step": 580 + }, + { + "epoch": 1.06, + "grad_norm": 0.1637341350288717, + "learning_rate": 0.00016357237482099684, + "loss": 1.1369, + "step": 581 + }, + { + "epoch": 1.06, + "grad_norm": 0.15703259344496112, + "learning_rate": 0.0001634085986595819, + "loss": 1.1448, + "step": 582 + }, + { + "epoch": 1.06, + "grad_norm": 0.1672273979359662, + "learning_rate": 0.00016324453755953773, + "loss": 1.1972, + "step": 583 + }, + { + "epoch": 1.06, + "grad_norm": 0.16032943590057747, + "learning_rate": 0.0001630801922581041, + "loss": 1.1811, + "step": 584 + }, + { + "epoch": 1.07, + "grad_norm": 0.15414179865764022, + "learning_rate": 0.00016291556349379795, + "loss": 1.1126, + "step": 585 + }, + { + "epoch": 1.07, + "grad_norm": 0.16133591336152153, + "learning_rate": 0.00016275065200641004, + "loss": 1.0664, + "step": 586 + }, + { + "epoch": 1.07, + "grad_norm": 0.17496271909044792, + "learning_rate": 0.00016258545853700158, + "loss": 1.2042, + "step": 587 + }, + { + "epoch": 1.07, + "grad_norm": 0.16189829224809252, + "learning_rate": 0.00016241998382790095, + "loss": 1.1896, + "step": 588 + }, + { + "epoch": 1.07, + "grad_norm": 0.1508460775909727, + "learning_rate": 0.00016225422862270027, + "loss": 1.1205, + "step": 589 + }, + { + "epoch": 1.07, + "grad_norm": 0.16848110855261456, + "learning_rate": 0.00016208819366625218, + "loss": 1.1132, + "step": 590 + }, + { + "epoch": 1.08, + "grad_norm": 0.15996856299765072, + "learning_rate": 0.00016192187970466644, + "loss": 1.1022, + "step": 591 + }, + { + "epoch": 1.08, + "grad_norm": 0.15697088450293906, + "learning_rate": 0.0001617552874853065, + "loss": 1.0483, + "step": 592 + }, + { + "epoch": 1.08, + "grad_norm": 0.16338270251123885, + "learning_rate": 0.0001615884177567863, + "loss": 1.1049, + "step": 593 + }, + { + "epoch": 1.08, + "grad_norm": 0.1605597226615145, + "learning_rate": 0.0001614212712689668, + "loss": 1.1319, + "step": 594 + }, + { + "epoch": 1.08, + "grad_norm": 0.1694169270615921, + "learning_rate": 0.00016125384877295257, + "loss": 1.2143, + "step": 595 + }, + { + "epoch": 1.09, + "grad_norm": 0.16306866904399633, + "learning_rate": 0.00016108615102108855, + "loss": 1.164, + "step": 596 + }, + { + "epoch": 1.09, + "grad_norm": 0.1646758516051161, + "learning_rate": 0.00016091817876695655, + "loss": 1.2176, + "step": 597 + }, + { + "epoch": 1.09, + "grad_norm": 0.16334394129553162, + "learning_rate": 0.00016074993276537198, + "loss": 1.1526, + "step": 598 + }, + { + "epoch": 1.09, + "grad_norm": 0.16103491072240317, + "learning_rate": 0.00016058141377238026, + "loss": 1.1022, + "step": 599 + }, + { + "epoch": 1.09, + "grad_norm": 0.16029258404100036, + "learning_rate": 0.00016041262254525362, + "loss": 1.1508, + "step": 600 + }, + { + "epoch": 1.09, + "grad_norm": 0.15686217802450533, + "learning_rate": 0.00016024355984248768, + "loss": 1.1471, + "step": 601 + }, + { + "epoch": 1.1, + "grad_norm": 0.1520812354157866, + "learning_rate": 0.0001600742264237979, + "loss": 1.0994, + "step": 602 + }, + { + "epoch": 1.1, + "grad_norm": 0.161954690104593, + "learning_rate": 0.0001599046230501163, + "loss": 1.1475, + "step": 603 + }, + { + "epoch": 1.1, + "grad_norm": 0.16470046818858164, + "learning_rate": 0.00015973475048358795, + "loss": 1.1425, + "step": 604 + }, + { + "epoch": 1.1, + "grad_norm": 0.17783426542152342, + "learning_rate": 0.00015956460948756765, + "loss": 1.1933, + "step": 605 + }, + { + "epoch": 1.1, + "grad_norm": 0.20834095672163827, + "learning_rate": 0.0001593942008266164, + "loss": 1.1545, + "step": 606 + }, + { + "epoch": 1.11, + "grad_norm": 0.1601922371369916, + "learning_rate": 0.00015922352526649803, + "loss": 1.1626, + "step": 607 + }, + { + "epoch": 1.11, + "grad_norm": 0.17590795577463478, + "learning_rate": 0.00015905258357417569, + "loss": 1.1428, + "step": 608 + }, + { + "epoch": 1.11, + "grad_norm": 0.16438364538914646, + "learning_rate": 0.00015888137651780845, + "loss": 1.1237, + "step": 609 + }, + { + "epoch": 1.11, + "grad_norm": 0.1532404311365829, + "learning_rate": 0.00015870990486674792, + "loss": 1.1292, + "step": 610 + }, + { + "epoch": 1.11, + "grad_norm": 0.1658092976448754, + "learning_rate": 0.0001585381693915346, + "loss": 1.2051, + "step": 611 + }, + { + "epoch": 1.11, + "grad_norm": 0.17009266166893572, + "learning_rate": 0.00015836617086389468, + "loss": 1.1574, + "step": 612 + }, + { + "epoch": 1.12, + "grad_norm": 0.17117032466097273, + "learning_rate": 0.00015819391005673626, + "loss": 1.1715, + "step": 613 + }, + { + "epoch": 1.12, + "grad_norm": 0.16766945870038483, + "learning_rate": 0.00015802138774414622, + "loss": 1.1322, + "step": 614 + }, + { + "epoch": 1.12, + "grad_norm": 0.16603674100502688, + "learning_rate": 0.00015784860470138633, + "loss": 1.1682, + "step": 615 + }, + { + "epoch": 1.12, + "grad_norm": 0.1538296997751752, + "learning_rate": 0.00015767556170489025, + "loss": 1.0979, + "step": 616 + }, + { + "epoch": 1.12, + "grad_norm": 0.16355862351540293, + "learning_rate": 0.00015750225953225968, + "loss": 1.0859, + "step": 617 + }, + { + "epoch": 1.13, + "grad_norm": 0.17100029950170442, + "learning_rate": 0.00015732869896226094, + "loss": 1.1513, + "step": 618 + }, + { + "epoch": 1.13, + "grad_norm": 0.16981502045992727, + "learning_rate": 0.0001571548807748215, + "loss": 1.1665, + "step": 619 + }, + { + "epoch": 1.13, + "grad_norm": 0.15981257682597005, + "learning_rate": 0.00015698080575102661, + "loss": 1.0862, + "step": 620 + }, + { + "epoch": 1.13, + "grad_norm": 0.17114664647857297, + "learning_rate": 0.00015680647467311557, + "loss": 1.1883, + "step": 621 + }, + { + "epoch": 1.13, + "grad_norm": 0.16818704328900685, + "learning_rate": 0.00015663188832447833, + "loss": 1.1345, + "step": 622 + }, + { + "epoch": 1.13, + "grad_norm": 0.16716958487866437, + "learning_rate": 0.0001564570474896519, + "loss": 1.1613, + "step": 623 + }, + { + "epoch": 1.14, + "grad_norm": 0.16425076739154273, + "learning_rate": 0.00015628195295431697, + "loss": 1.1153, + "step": 624 + }, + { + "epoch": 1.14, + "grad_norm": 0.1668267227341853, + "learning_rate": 0.0001561066055052941, + "loss": 1.1796, + "step": 625 + }, + { + "epoch": 1.14, + "grad_norm": 0.15748311738845247, + "learning_rate": 0.00015593100593054064, + "loss": 1.125, + "step": 626 + }, + { + "epoch": 1.14, + "grad_norm": 0.1578229320002536, + "learning_rate": 0.00015575515501914668, + "loss": 1.1751, + "step": 627 + }, + { + "epoch": 1.14, + "grad_norm": 0.17990453419427754, + "learning_rate": 0.0001555790535613318, + "loss": 1.2107, + "step": 628 + }, + { + "epoch": 1.15, + "grad_norm": 0.17170087096955436, + "learning_rate": 0.0001554027023484416, + "loss": 1.1704, + "step": 629 + }, + { + "epoch": 1.15, + "grad_norm": 0.1641233552033525, + "learning_rate": 0.00015522610217294375, + "loss": 1.1399, + "step": 630 + }, + { + "epoch": 1.15, + "grad_norm": 0.22816800313793714, + "learning_rate": 0.00015504925382842487, + "loss": 1.1374, + "step": 631 + }, + { + "epoch": 1.15, + "grad_norm": 0.1699514304776241, + "learning_rate": 0.00015487215810958675, + "loss": 1.1668, + "step": 632 + }, + { + "epoch": 1.15, + "grad_norm": 0.16580705156733896, + "learning_rate": 0.00015469481581224272, + "loss": 1.2467, + "step": 633 + }, + { + "epoch": 1.15, + "grad_norm": 0.1621295978537637, + "learning_rate": 0.0001545172277333142, + "loss": 1.095, + "step": 634 + }, + { + "epoch": 1.16, + "grad_norm": 0.15661235975760687, + "learning_rate": 0.00015433939467082713, + "loss": 1.1437, + "step": 635 + }, + { + "epoch": 1.16, + "grad_norm": 0.15913894864881573, + "learning_rate": 0.00015416131742390827, + "loss": 1.1682, + "step": 636 + }, + { + "epoch": 1.16, + "grad_norm": 0.17078546916822446, + "learning_rate": 0.00015398299679278172, + "loss": 1.1673, + "step": 637 + }, + { + "epoch": 1.16, + "grad_norm": 0.17593093163481005, + "learning_rate": 0.00015380443357876518, + "loss": 1.1588, + "step": 638 + }, + { + "epoch": 1.16, + "grad_norm": 0.16563306408223222, + "learning_rate": 0.00015362562858426654, + "loss": 1.1542, + "step": 639 + }, + { + "epoch": 1.17, + "grad_norm": 0.15824017459526013, + "learning_rate": 0.0001534465826127801, + "loss": 1.136, + "step": 640 + }, + { + "epoch": 1.17, + "grad_norm": 0.1555748015065671, + "learning_rate": 0.00015326729646888314, + "loss": 1.1744, + "step": 641 + }, + { + "epoch": 1.17, + "grad_norm": 0.15054650982383877, + "learning_rate": 0.0001530877709582321, + "loss": 1.0996, + "step": 642 + }, + { + "epoch": 1.17, + "grad_norm": 0.1732483344367302, + "learning_rate": 0.00015290800688755907, + "loss": 1.1375, + "step": 643 + }, + { + "epoch": 1.17, + "grad_norm": 0.17086276533942882, + "learning_rate": 0.0001527280050646682, + "loss": 1.1399, + "step": 644 + }, + { + "epoch": 1.17, + "grad_norm": 0.14791498583408913, + "learning_rate": 0.00015254776629843205, + "loss": 1.0112, + "step": 645 + }, + { + "epoch": 1.18, + "grad_norm": 0.16492159023612152, + "learning_rate": 0.00015236729139878782, + "loss": 1.1179, + "step": 646 + }, + { + "epoch": 1.18, + "grad_norm": 0.15550107018855622, + "learning_rate": 0.0001521865811767339, + "loss": 1.0872, + "step": 647 + }, + { + "epoch": 1.18, + "grad_norm": 0.17086993477527834, + "learning_rate": 0.00015200563644432612, + "loss": 1.1747, + "step": 648 + }, + { + "epoch": 1.18, + "grad_norm": 0.16832629109129904, + "learning_rate": 0.0001518244580146742, + "loss": 1.2623, + "step": 649 + }, + { + "epoch": 1.18, + "grad_norm": 0.15555098188988337, + "learning_rate": 0.00015164304670193792, + "loss": 1.1172, + "step": 650 + }, + { + "epoch": 1.19, + "grad_norm": 0.16504655864531245, + "learning_rate": 0.00015146140332132358, + "loss": 1.1615, + "step": 651 + }, + { + "epoch": 1.19, + "grad_norm": 0.15904615747067738, + "learning_rate": 0.00015127952868908043, + "loss": 1.1841, + "step": 652 + }, + { + "epoch": 1.19, + "grad_norm": 0.1664190253819244, + "learning_rate": 0.00015109742362249672, + "loss": 1.2258, + "step": 653 + }, + { + "epoch": 1.19, + "grad_norm": 0.17622098883404838, + "learning_rate": 0.00015091508893989633, + "loss": 1.2141, + "step": 654 + }, + { + "epoch": 1.19, + "grad_norm": 0.17253106779139057, + "learning_rate": 0.00015073252546063493, + "loss": 1.1289, + "step": 655 + }, + { + "epoch": 1.19, + "grad_norm": 0.15924181512457228, + "learning_rate": 0.0001505497340050963, + "loss": 1.1836, + "step": 656 + }, + { + "epoch": 1.2, + "grad_norm": 0.1755114666296529, + "learning_rate": 0.00015036671539468878, + "loss": 1.2109, + "step": 657 + }, + { + "epoch": 1.2, + "grad_norm": 0.1623211151951732, + "learning_rate": 0.00015018347045184132, + "loss": 1.1922, + "step": 658 + }, + { + "epoch": 1.2, + "grad_norm": 0.16895842955233992, + "learning_rate": 0.00015000000000000001, + "loss": 1.2402, + "step": 659 + }, + { + "epoch": 1.2, + "grad_norm": 0.17126264186496687, + "learning_rate": 0.00014981630486362435, + "loss": 1.2327, + "step": 660 + }, + { + "epoch": 1.2, + "grad_norm": 0.19632534974860108, + "learning_rate": 0.00014963238586818345, + "loss": 1.1586, + "step": 661 + }, + { + "epoch": 1.21, + "grad_norm": 0.16708414744148634, + "learning_rate": 0.00014944824384015236, + "loss": 1.1766, + "step": 662 + }, + { + "epoch": 1.21, + "grad_norm": 0.1800283830073218, + "learning_rate": 0.00014926387960700842, + "loss": 1.0902, + "step": 663 + }, + { + "epoch": 1.21, + "grad_norm": 0.17570100482291343, + "learning_rate": 0.0001490792939972275, + "loss": 1.1875, + "step": 664 + }, + { + "epoch": 1.21, + "grad_norm": 0.15904497800793038, + "learning_rate": 0.0001488944878402802, + "loss": 1.083, + "step": 665 + }, + { + "epoch": 1.21, + "grad_norm": 0.1629549994998532, + "learning_rate": 0.00014870946196662822, + "loss": 1.1505, + "step": 666 + }, + { + "epoch": 1.21, + "grad_norm": 0.17495490666041913, + "learning_rate": 0.00014852421720772062, + "loss": 1.1107, + "step": 667 + }, + { + "epoch": 1.22, + "grad_norm": 0.1814722009088628, + "learning_rate": 0.00014833875439599004, + "loss": 1.2089, + "step": 668 + }, + { + "epoch": 1.22, + "grad_norm": 0.16312442272141373, + "learning_rate": 0.00014815307436484898, + "loss": 1.1518, + "step": 669 + }, + { + "epoch": 1.22, + "grad_norm": 0.18878089936272002, + "learning_rate": 0.00014796717794868607, + "loss": 1.1806, + "step": 670 + }, + { + "epoch": 1.22, + "grad_norm": 0.171347321491223, + "learning_rate": 0.00014778106598286234, + "loss": 1.3189, + "step": 671 + }, + { + "epoch": 1.22, + "grad_norm": 0.15561777538677532, + "learning_rate": 0.00014759473930370736, + "loss": 1.1071, + "step": 672 + }, + { + "epoch": 1.23, + "grad_norm": 0.16095434527629326, + "learning_rate": 0.0001474081987485156, + "loss": 1.173, + "step": 673 + }, + { + "epoch": 1.23, + "grad_norm": 0.1594519070011647, + "learning_rate": 0.00014722144515554264, + "loss": 1.1099, + "step": 674 + }, + { + "epoch": 1.23, + "grad_norm": 0.15853021638823037, + "learning_rate": 0.00014703447936400134, + "loss": 1.1563, + "step": 675 + }, + { + "epoch": 1.23, + "grad_norm": 0.21942200368949344, + "learning_rate": 0.00014684730221405814, + "loss": 1.1226, + "step": 676 + }, + { + "epoch": 1.23, + "grad_norm": 0.16328115550493413, + "learning_rate": 0.00014665991454682924, + "loss": 1.1878, + "step": 677 + }, + { + "epoch": 1.23, + "grad_norm": 0.16551970389762746, + "learning_rate": 0.00014647231720437686, + "loss": 1.055, + "step": 678 + }, + { + "epoch": 1.24, + "grad_norm": 0.17275962400330097, + "learning_rate": 0.00014628451102970547, + "loss": 1.1302, + "step": 679 + }, + { + "epoch": 1.24, + "grad_norm": 0.17269943862734122, + "learning_rate": 0.00014609649686675785, + "loss": 1.1635, + "step": 680 + }, + { + "epoch": 1.24, + "grad_norm": 0.18932844828433326, + "learning_rate": 0.00014590827556041158, + "loss": 1.0954, + "step": 681 + }, + { + "epoch": 1.24, + "grad_norm": 0.1670913427771278, + "learning_rate": 0.00014571984795647494, + "loss": 1.1336, + "step": 682 + }, + { + "epoch": 1.24, + "grad_norm": 0.1727053222121231, + "learning_rate": 0.00014553121490168332, + "loss": 1.1477, + "step": 683 + }, + { + "epoch": 1.25, + "grad_norm": 0.20281162440108022, + "learning_rate": 0.00014534237724369534, + "loss": 1.1364, + "step": 684 + }, + { + "epoch": 1.25, + "grad_norm": 0.17595782723751183, + "learning_rate": 0.00014515333583108896, + "loss": 1.1977, + "step": 685 + }, + { + "epoch": 1.25, + "grad_norm": 0.16755958800968615, + "learning_rate": 0.00014496409151335785, + "loss": 1.1315, + "step": 686 + }, + { + "epoch": 1.25, + "grad_norm": 0.17908885139779734, + "learning_rate": 0.00014477464514090743, + "loss": 1.1851, + "step": 687 + }, + { + "epoch": 1.25, + "grad_norm": 0.16047769884625865, + "learning_rate": 0.00014458499756505116, + "loss": 1.1137, + "step": 688 + }, + { + "epoch": 1.26, + "grad_norm": 0.18864957014640948, + "learning_rate": 0.00014439514963800648, + "loss": 1.1962, + "step": 689 + }, + { + "epoch": 1.26, + "grad_norm": 0.16074020271372416, + "learning_rate": 0.00014420510221289137, + "loss": 1.1448, + "step": 690 + }, + { + "epoch": 1.26, + "grad_norm": 0.17166433855606958, + "learning_rate": 0.00014401485614372008, + "loss": 1.0487, + "step": 691 + }, + { + "epoch": 1.26, + "grad_norm": 0.1773682331611409, + "learning_rate": 0.0001438244122853996, + "loss": 1.16, + "step": 692 + }, + { + "epoch": 1.26, + "grad_norm": 0.16596601643110168, + "learning_rate": 0.00014363377149372584, + "loss": 1.0843, + "step": 693 + }, + { + "epoch": 1.26, + "grad_norm": 0.16748936526973612, + "learning_rate": 0.0001434429346253794, + "loss": 1.1619, + "step": 694 + }, + { + "epoch": 1.27, + "grad_norm": 0.17600274748860967, + "learning_rate": 0.00014325190253792222, + "loss": 1.151, + "step": 695 + }, + { + "epoch": 1.27, + "grad_norm": 0.1721019830304793, + "learning_rate": 0.0001430606760897934, + "loss": 1.0609, + "step": 696 + }, + { + "epoch": 1.27, + "grad_norm": 0.172361054646693, + "learning_rate": 0.00014286925614030542, + "loss": 1.1777, + "step": 697 + }, + { + "epoch": 1.27, + "grad_norm": 0.1938123204770535, + "learning_rate": 0.00014267764354964038, + "loss": 1.1078, + "step": 698 + }, + { + "epoch": 1.27, + "grad_norm": 0.171152731950173, + "learning_rate": 0.00014248583917884594, + "loss": 1.2344, + "step": 699 + }, + { + "epoch": 1.28, + "grad_norm": 0.176915280903416, + "learning_rate": 0.00014229384388983167, + "loss": 1.1443, + "step": 700 + }, + { + "epoch": 1.28, + "grad_norm": 0.16620426221482948, + "learning_rate": 0.00014210165854536494, + "loss": 1.1635, + "step": 701 + }, + { + "epoch": 1.28, + "grad_norm": 0.17368168932295722, + "learning_rate": 0.0001419092840090673, + "loss": 1.2076, + "step": 702 + }, + { + "epoch": 1.28, + "grad_norm": 0.16396003568599715, + "learning_rate": 0.0001417167211454104, + "loss": 1.1798, + "step": 703 + }, + { + "epoch": 1.28, + "grad_norm": 0.17474861300401356, + "learning_rate": 0.0001415239708197122, + "loss": 1.1951, + "step": 704 + }, + { + "epoch": 1.28, + "grad_norm": 0.17687469132536782, + "learning_rate": 0.00014133103389813302, + "loss": 1.1863, + "step": 705 + }, + { + "epoch": 1.29, + "grad_norm": 0.1729350163866909, + "learning_rate": 0.0001411379112476717, + "loss": 1.1791, + "step": 706 + }, + { + "epoch": 1.29, + "grad_norm": 0.16183372577765218, + "learning_rate": 0.0001409446037361617, + "loss": 1.11, + "step": 707 + }, + { + "epoch": 1.29, + "grad_norm": 0.17468439327379603, + "learning_rate": 0.0001407511122322672, + "loss": 1.1459, + "step": 708 + }, + { + "epoch": 1.29, + "grad_norm": 0.1746393388604993, + "learning_rate": 0.00014055743760547917, + "loss": 1.1782, + "step": 709 + }, + { + "epoch": 1.29, + "grad_norm": 0.1709730768079813, + "learning_rate": 0.00014036358072611147, + "loss": 1.1729, + "step": 710 + }, + { + "epoch": 1.3, + "grad_norm": 0.16338226575160056, + "learning_rate": 0.00014016954246529696, + "loss": 1.1637, + "step": 711 + }, + { + "epoch": 1.3, + "grad_norm": 0.16522796461612693, + "learning_rate": 0.00013997532369498355, + "loss": 1.1786, + "step": 712 + }, + { + "epoch": 1.3, + "grad_norm": 0.16443017398263532, + "learning_rate": 0.0001397809252879303, + "loss": 1.1885, + "step": 713 + }, + { + "epoch": 1.3, + "grad_norm": 0.16678395716368374, + "learning_rate": 0.0001395863481177036, + "loss": 1.1576, + "step": 714 + }, + { + "epoch": 1.3, + "grad_norm": 0.15796662849679724, + "learning_rate": 0.000139391593058673, + "loss": 1.1719, + "step": 715 + }, + { + "epoch": 1.3, + "grad_norm": 0.1605406960709786, + "learning_rate": 0.00013919666098600753, + "loss": 1.1442, + "step": 716 + }, + { + "epoch": 1.31, + "grad_norm": 0.16720350808668913, + "learning_rate": 0.00013900155277567157, + "loss": 1.1231, + "step": 717 + }, + { + "epoch": 1.31, + "grad_norm": 0.16025549611436293, + "learning_rate": 0.00013880626930442113, + "loss": 1.0959, + "step": 718 + }, + { + "epoch": 1.31, + "grad_norm": 0.1682327263659866, + "learning_rate": 0.00013861081144979974, + "loss": 1.1816, + "step": 719 + }, + { + "epoch": 1.31, + "grad_norm": 0.16843691606816277, + "learning_rate": 0.00013841518009013445, + "loss": 1.1607, + "step": 720 + }, + { + "epoch": 1.31, + "grad_norm": 0.17753480625595375, + "learning_rate": 0.0001382193761045322, + "loss": 1.2085, + "step": 721 + }, + { + "epoch": 1.32, + "grad_norm": 0.175444570487372, + "learning_rate": 0.0001380234003728754, + "loss": 1.1883, + "step": 722 + }, + { + "epoch": 1.32, + "grad_norm": 0.17844909537485765, + "learning_rate": 0.00013782725377581848, + "loss": 1.2548, + "step": 723 + }, + { + "epoch": 1.32, + "grad_norm": 0.17827531614400435, + "learning_rate": 0.00013763093719478358, + "loss": 1.1753, + "step": 724 + }, + { + "epoch": 1.32, + "grad_norm": 0.16568782268956592, + "learning_rate": 0.00013743445151195657, + "loss": 1.1269, + "step": 725 + }, + { + "epoch": 1.32, + "grad_norm": 0.16229148230338714, + "learning_rate": 0.00013723779761028347, + "loss": 1.1233, + "step": 726 + }, + { + "epoch": 1.32, + "grad_norm": 0.18071555500117806, + "learning_rate": 0.000137040976373466, + "loss": 1.1691, + "step": 727 + }, + { + "epoch": 1.33, + "grad_norm": 0.16528568438217509, + "learning_rate": 0.000136843988685958, + "loss": 1.1044, + "step": 728 + }, + { + "epoch": 1.33, + "grad_norm": 0.15621961073605914, + "learning_rate": 0.00013664683543296112, + "loss": 1.0585, + "step": 729 + }, + { + "epoch": 1.33, + "grad_norm": 0.1821012365890871, + "learning_rate": 0.00013644951750042114, + "loss": 1.1061, + "step": 730 + }, + { + "epoch": 1.33, + "grad_norm": 0.18832728793079637, + "learning_rate": 0.00013625203577502382, + "loss": 1.2088, + "step": 731 + }, + { + "epoch": 1.33, + "grad_norm": 0.17821269011741103, + "learning_rate": 0.00013605439114419094, + "loss": 1.1076, + "step": 732 + }, + { + "epoch": 1.34, + "grad_norm": 0.15816928920099374, + "learning_rate": 0.00013585658449607633, + "loss": 1.057, + "step": 733 + }, + { + "epoch": 1.34, + "grad_norm": 0.1634582673036166, + "learning_rate": 0.00013565861671956187, + "loss": 1.2206, + "step": 734 + }, + { + "epoch": 1.34, + "grad_norm": 0.16402056158577089, + "learning_rate": 0.00013546048870425356, + "loss": 1.0809, + "step": 735 + }, + { + "epoch": 1.34, + "grad_norm": 0.18674575425072043, + "learning_rate": 0.0001352622013404774, + "loss": 1.0979, + "step": 736 + }, + { + "epoch": 1.34, + "grad_norm": 0.16768128529630819, + "learning_rate": 0.00013506375551927547, + "loss": 1.1813, + "step": 737 + }, + { + "epoch": 1.34, + "grad_norm": 0.17842009039615817, + "learning_rate": 0.00013486515213240188, + "loss": 1.1767, + "step": 738 + }, + { + "epoch": 1.35, + "grad_norm": 0.16460609654310757, + "learning_rate": 0.0001346663920723188, + "loss": 1.1711, + "step": 739 + }, + { + "epoch": 1.35, + "grad_norm": 0.16130836204900895, + "learning_rate": 0.00013446747623219255, + "loss": 1.1506, + "step": 740 + }, + { + "epoch": 1.35, + "grad_norm": 0.19357518099915463, + "learning_rate": 0.00013426840550588933, + "loss": 1.1454, + "step": 741 + }, + { + "epoch": 1.35, + "grad_norm": 0.16818483070815926, + "learning_rate": 0.0001340691807879714, + "loss": 1.105, + "step": 742 + }, + { + "epoch": 1.35, + "grad_norm": 0.17634247767232533, + "learning_rate": 0.00013386980297369307, + "loss": 1.1173, + "step": 743 + }, + { + "epoch": 1.36, + "grad_norm": 0.17275588243641285, + "learning_rate": 0.0001336702729589965, + "loss": 1.1614, + "step": 744 + }, + { + "epoch": 1.36, + "grad_norm": 0.18630211892037335, + "learning_rate": 0.00013347059164050794, + "loss": 1.0822, + "step": 745 + }, + { + "epoch": 1.36, + "grad_norm": 0.1610612417401003, + "learning_rate": 0.0001332707599155334, + "loss": 1.11, + "step": 746 + }, + { + "epoch": 1.36, + "grad_norm": 0.1710900937487699, + "learning_rate": 0.00013307077868205487, + "loss": 1.1556, + "step": 747 + }, + { + "epoch": 1.36, + "grad_norm": 0.16789088046962233, + "learning_rate": 0.00013287064883872612, + "loss": 1.166, + "step": 748 + }, + { + "epoch": 1.36, + "grad_norm": 0.17152792861267624, + "learning_rate": 0.00013267037128486883, + "loss": 1.2076, + "step": 749 + }, + { + "epoch": 1.37, + "grad_norm": 0.16987939988427406, + "learning_rate": 0.00013246994692046836, + "loss": 1.1892, + "step": 750 + }, + { + "epoch": 1.37, + "grad_norm": 0.17050807620104472, + "learning_rate": 0.00013226937664616976, + "loss": 1.1405, + "step": 751 + }, + { + "epoch": 1.37, + "grad_norm": 0.1619859173580362, + "learning_rate": 0.00013206866136327388, + "loss": 1.15, + "step": 752 + }, + { + "epoch": 1.37, + "grad_norm": 0.1693102604231561, + "learning_rate": 0.00013186780197373306, + "loss": 1.1108, + "step": 753 + }, + { + "epoch": 1.37, + "grad_norm": 0.15751817301555188, + "learning_rate": 0.00013166679938014726, + "loss": 1.1075, + "step": 754 + }, + { + "epoch": 1.38, + "grad_norm": 0.17344055609711165, + "learning_rate": 0.00013146565448576004, + "loss": 1.2239, + "step": 755 + }, + { + "epoch": 1.38, + "grad_norm": 0.16419033762795351, + "learning_rate": 0.00013126436819445422, + "loss": 1.2146, + "step": 756 + }, + { + "epoch": 1.38, + "grad_norm": 0.17241446484871606, + "learning_rate": 0.00013106294141074825, + "loss": 1.1808, + "step": 757 + }, + { + "epoch": 1.38, + "grad_norm": 0.16299230805525922, + "learning_rate": 0.0001308613750397917, + "loss": 1.1639, + "step": 758 + }, + { + "epoch": 1.38, + "grad_norm": 0.15993384139183944, + "learning_rate": 0.00013065966998736155, + "loss": 1.0664, + "step": 759 + }, + { + "epoch": 1.38, + "grad_norm": 0.17951699730636844, + "learning_rate": 0.00013045782715985792, + "loss": 1.1565, + "step": 760 + }, + { + "epoch": 1.39, + "grad_norm": 0.16420615622643212, + "learning_rate": 0.0001302558474643, + "loss": 1.1675, + "step": 761 + }, + { + "epoch": 1.39, + "grad_norm": 0.1718558627273243, + "learning_rate": 0.0001300537318083221, + "loss": 1.1758, + "step": 762 + }, + { + "epoch": 1.39, + "grad_norm": 0.16040004880583997, + "learning_rate": 0.00012985148110016947, + "loss": 1.1286, + "step": 763 + }, + { + "epoch": 1.39, + "grad_norm": 0.1644924005506398, + "learning_rate": 0.0001296490962486942, + "loss": 1.0901, + "step": 764 + }, + { + "epoch": 1.39, + "grad_norm": 0.17508769995003778, + "learning_rate": 0.00012944657816335123, + "loss": 1.158, + "step": 765 + }, + { + "epoch": 1.4, + "grad_norm": 0.16636235063611218, + "learning_rate": 0.0001292439277541942, + "loss": 1.1506, + "step": 766 + }, + { + "epoch": 1.4, + "grad_norm": 0.1651752039403403, + "learning_rate": 0.00012904114593187136, + "loss": 1.1167, + "step": 767 + }, + { + "epoch": 1.4, + "grad_norm": 0.1727449182027404, + "learning_rate": 0.0001288382336076215, + "loss": 1.1208, + "step": 768 + }, + { + "epoch": 1.4, + "grad_norm": 0.1678888505155555, + "learning_rate": 0.00012863519169326984, + "loss": 1.1164, + "step": 769 + }, + { + "epoch": 1.4, + "grad_norm": 0.1717914946350261, + "learning_rate": 0.0001284320211012239, + "loss": 1.174, + "step": 770 + }, + { + "epoch": 1.4, + "grad_norm": 0.15833038102003086, + "learning_rate": 0.00012822872274446958, + "loss": 1.0557, + "step": 771 + }, + { + "epoch": 1.41, + "grad_norm": 0.16693919668597118, + "learning_rate": 0.00012802529753656668, + "loss": 1.2202, + "step": 772 + }, + { + "epoch": 1.41, + "grad_norm": 0.1608034670310254, + "learning_rate": 0.0001278217463916453, + "loss": 1.0761, + "step": 773 + }, + { + "epoch": 1.41, + "grad_norm": 0.16522372158185394, + "learning_rate": 0.0001276180702244012, + "loss": 1.114, + "step": 774 + }, + { + "epoch": 1.41, + "grad_norm": 0.15699403016449, + "learning_rate": 0.00012741426995009213, + "loss": 1.0487, + "step": 775 + }, + { + "epoch": 1.41, + "grad_norm": 0.1724966872571711, + "learning_rate": 0.00012721034648453353, + "loss": 1.2198, + "step": 776 + }, + { + "epoch": 1.42, + "grad_norm": 0.16612867386952304, + "learning_rate": 0.00012700630074409427, + "loss": 1.1481, + "step": 777 + }, + { + "epoch": 1.42, + "grad_norm": 0.1755115998846381, + "learning_rate": 0.0001268021336456929, + "loss": 1.1295, + "step": 778 + }, + { + "epoch": 1.42, + "grad_norm": 0.16610612624318807, + "learning_rate": 0.00012659784610679318, + "loss": 1.0735, + "step": 779 + }, + { + "epoch": 1.42, + "grad_norm": 0.17210665028457767, + "learning_rate": 0.0001263934390454001, + "loss": 1.128, + "step": 780 + }, + { + "epoch": 1.42, + "grad_norm": 0.17115180879996908, + "learning_rate": 0.00012618891338005573, + "loss": 1.2114, + "step": 781 + }, + { + "epoch": 1.42, + "grad_norm": 0.1708121456807184, + "learning_rate": 0.0001259842700298352, + "loss": 1.2037, + "step": 782 + }, + { + "epoch": 1.43, + "grad_norm": 0.16413369503599784, + "learning_rate": 0.00012577950991434248, + "loss": 1.115, + "step": 783 + }, + { + "epoch": 1.43, + "grad_norm": 0.16575779512688402, + "learning_rate": 0.0001255746339537061, + "loss": 1.13, + "step": 784 + }, + { + "epoch": 1.43, + "grad_norm": 0.16787768159350958, + "learning_rate": 0.00012536964306857526, + "loss": 1.1187, + "step": 785 + }, + { + "epoch": 1.43, + "grad_norm": 0.161257935533138, + "learning_rate": 0.00012516453818011566, + "loss": 1.1272, + "step": 786 + }, + { + "epoch": 1.43, + "grad_norm": 0.17163817923820932, + "learning_rate": 0.00012495932021000517, + "loss": 1.1371, + "step": 787 + }, + { + "epoch": 1.44, + "grad_norm": 0.16451801686420228, + "learning_rate": 0.0001247539900804299, + "loss": 1.1234, + "step": 788 + }, + { + "epoch": 1.44, + "grad_norm": 0.4897545674498291, + "learning_rate": 0.00012454854871407994, + "loss": 1.1276, + "step": 789 + }, + { + "epoch": 1.44, + "grad_norm": 0.1674813107615878, + "learning_rate": 0.00012434299703414524, + "loss": 1.0717, + "step": 790 + }, + { + "epoch": 1.44, + "grad_norm": 0.16889265391095676, + "learning_rate": 0.0001241373359643114, + "loss": 1.1094, + "step": 791 + }, + { + "epoch": 1.44, + "grad_norm": 0.17807200243744, + "learning_rate": 0.0001239315664287558, + "loss": 1.2072, + "step": 792 + }, + { + "epoch": 1.44, + "grad_norm": 0.1821416845887793, + "learning_rate": 0.00012372568935214298, + "loss": 1.1574, + "step": 793 + }, + { + "epoch": 1.45, + "grad_norm": 0.16787645348154986, + "learning_rate": 0.00012351970565962085, + "loss": 1.0884, + "step": 794 + }, + { + "epoch": 1.45, + "grad_norm": 0.17767787321450104, + "learning_rate": 0.00012331361627681645, + "loss": 1.1561, + "step": 795 + }, + { + "epoch": 1.45, + "grad_norm": 0.16990542040230855, + "learning_rate": 0.00012310742212983167, + "loss": 1.1454, + "step": 796 + }, + { + "epoch": 1.45, + "grad_norm": 0.17040623149046621, + "learning_rate": 0.00012290112414523928, + "loss": 1.1143, + "step": 797 + }, + { + "epoch": 1.45, + "grad_norm": 0.17383642491755713, + "learning_rate": 0.00012269472325007858, + "loss": 1.1502, + "step": 798 + }, + { + "epoch": 1.46, + "grad_norm": 0.1670271756098212, + "learning_rate": 0.00012248822037185138, + "loss": 1.1872, + "step": 799 + }, + { + "epoch": 1.46, + "grad_norm": 0.17338597290651167, + "learning_rate": 0.0001222816164385177, + "loss": 1.201, + "step": 800 + }, + { + "epoch": 1.46, + "grad_norm": 0.16342647338148947, + "learning_rate": 0.00012207491237849172, + "loss": 1.0994, + "step": 801 + }, + { + "epoch": 1.46, + "grad_norm": 0.15847559756714308, + "learning_rate": 0.0001218681091206376, + "loss": 1.1272, + "step": 802 + }, + { + "epoch": 1.46, + "grad_norm": 0.17295023549456498, + "learning_rate": 0.00012166120759426514, + "loss": 1.1026, + "step": 803 + }, + { + "epoch": 1.46, + "grad_norm": 0.17574482838436642, + "learning_rate": 0.00012145420872912585, + "loss": 1.1785, + "step": 804 + }, + { + "epoch": 1.47, + "grad_norm": 0.1636907763577917, + "learning_rate": 0.0001212471134554086, + "loss": 1.125, + "step": 805 + }, + { + "epoch": 1.47, + "grad_norm": 0.1683476239550862, + "learning_rate": 0.00012103992270373547, + "loss": 1.1196, + "step": 806 + }, + { + "epoch": 1.47, + "grad_norm": 0.1634846923426851, + "learning_rate": 0.00012083263740515765, + "loss": 1.1666, + "step": 807 + }, + { + "epoch": 1.47, + "grad_norm": 0.20362360607016913, + "learning_rate": 0.00012062525849115107, + "loss": 1.2166, + "step": 808 + }, + { + "epoch": 1.47, + "grad_norm": 0.15520795046759722, + "learning_rate": 0.00012041778689361254, + "loss": 1.1046, + "step": 809 + }, + { + "epoch": 1.48, + "grad_norm": 0.17498352958051774, + "learning_rate": 0.00012021022354485514, + "loss": 1.1331, + "step": 810 + }, + { + "epoch": 1.48, + "grad_norm": 0.17105423893572264, + "learning_rate": 0.00012000256937760445, + "loss": 1.0799, + "step": 811 + }, + { + "epoch": 1.48, + "grad_norm": 0.16837214432904796, + "learning_rate": 0.00011979482532499401, + "loss": 1.1856, + "step": 812 + }, + { + "epoch": 1.48, + "grad_norm": 0.1717737899447442, + "learning_rate": 0.00011958699232056134, + "loss": 1.1738, + "step": 813 + }, + { + "epoch": 1.48, + "grad_norm": 0.16901679352588425, + "learning_rate": 0.0001193790712982437, + "loss": 1.1361, + "step": 814 + }, + { + "epoch": 1.48, + "grad_norm": 0.39457461047161113, + "learning_rate": 0.00011917106319237386, + "loss": 1.1095, + "step": 815 + }, + { + "epoch": 1.49, + "grad_norm": 0.1689082831860728, + "learning_rate": 0.00011896296893767587, + "loss": 1.1518, + "step": 816 + }, + { + "epoch": 1.49, + "grad_norm": 0.17381008421938537, + "learning_rate": 0.00011875478946926093, + "loss": 1.1251, + "step": 817 + }, + { + "epoch": 1.49, + "grad_norm": 0.1723002103848165, + "learning_rate": 0.00011854652572262323, + "loss": 1.1128, + "step": 818 + }, + { + "epoch": 1.49, + "grad_norm": 0.1799457776202214, + "learning_rate": 0.00011833817863363564, + "loss": 1.1702, + "step": 819 + }, + { + "epoch": 1.49, + "grad_norm": 0.18319688210909812, + "learning_rate": 0.00011812974913854545, + "loss": 1.1537, + "step": 820 + }, + { + "epoch": 1.5, + "grad_norm": 0.1716604871697964, + "learning_rate": 0.0001179212381739704, + "loss": 1.1567, + "step": 821 + }, + { + "epoch": 1.5, + "grad_norm": 0.17098997576829758, + "learning_rate": 0.00011771264667689427, + "loss": 1.1309, + "step": 822 + }, + { + "epoch": 1.5, + "grad_norm": 0.2607304915983766, + "learning_rate": 0.00011750397558466273, + "loss": 1.1151, + "step": 823 + }, + { + "epoch": 1.5, + "grad_norm": 0.1869030292628108, + "learning_rate": 0.00011729522583497912, + "loss": 1.0764, + "step": 824 + }, + { + "epoch": 1.5, + "grad_norm": 0.1969233515350324, + "learning_rate": 0.00011708639836590023, + "loss": 1.0986, + "step": 825 + }, + { + "epoch": 1.5, + "grad_norm": 0.17794486028770468, + "learning_rate": 0.00011687749411583213, + "loss": 1.1327, + "step": 826 + }, + { + "epoch": 1.51, + "grad_norm": 0.19408346665780069, + "learning_rate": 0.00011666851402352588, + "loss": 1.0768, + "step": 827 + }, + { + "epoch": 1.51, + "grad_norm": 0.5122187922492092, + "learning_rate": 0.00011645945902807341, + "loss": 1.1223, + "step": 828 + }, + { + "epoch": 1.51, + "grad_norm": 0.18948615786386766, + "learning_rate": 0.00011625033006890315, + "loss": 1.1452, + "step": 829 + }, + { + "epoch": 1.51, + "grad_norm": 0.16917117240636045, + "learning_rate": 0.00011604112808577603, + "loss": 1.131, + "step": 830 + }, + { + "epoch": 1.51, + "grad_norm": 0.177460873056157, + "learning_rate": 0.00011583185401878101, + "loss": 1.1691, + "step": 831 + }, + { + "epoch": 1.52, + "grad_norm": 0.2727518607538819, + "learning_rate": 0.00011562250880833104, + "loss": 1.185, + "step": 832 + }, + { + "epoch": 1.52, + "grad_norm": 0.1722336921590558, + "learning_rate": 0.00011541309339515869, + "loss": 1.2202, + "step": 833 + }, + { + "epoch": 1.52, + "grad_norm": 0.16731429410912582, + "learning_rate": 0.00011520360872031209, + "loss": 1.1114, + "step": 834 + }, + { + "epoch": 1.52, + "grad_norm": 0.1747423744661194, + "learning_rate": 0.00011499405572515059, + "loss": 1.0929, + "step": 835 + }, + { + "epoch": 1.52, + "grad_norm": 0.18705677818301408, + "learning_rate": 0.00011478443535134049, + "loss": 1.101, + "step": 836 + }, + { + "epoch": 1.52, + "grad_norm": 0.18090585152937122, + "learning_rate": 0.00011457474854085096, + "loss": 1.2376, + "step": 837 + }, + { + "epoch": 1.53, + "grad_norm": 0.1572625515956593, + "learning_rate": 0.00011436499623594963, + "loss": 1.1039, + "step": 838 + }, + { + "epoch": 1.53, + "grad_norm": 0.18868561701551964, + "learning_rate": 0.00011415517937919846, + "loss": 1.1091, + "step": 839 + }, + { + "epoch": 1.53, + "grad_norm": 0.3765201515989829, + "learning_rate": 0.00011394529891344958, + "loss": 1.1904, + "step": 840 + }, + { + "epoch": 1.53, + "grad_norm": 0.17659930390592027, + "learning_rate": 0.00011373535578184082, + "loss": 1.1767, + "step": 841 + }, + { + "epoch": 1.53, + "grad_norm": 0.16250915193456436, + "learning_rate": 0.00011352535092779173, + "loss": 1.0396, + "step": 842 + }, + { + "epoch": 1.54, + "grad_norm": 0.17679862621844297, + "learning_rate": 0.00011331528529499909, + "loss": 1.0899, + "step": 843 + }, + { + "epoch": 1.54, + "grad_norm": 0.17303502214887417, + "learning_rate": 0.00011310515982743293, + "loss": 1.1623, + "step": 844 + }, + { + "epoch": 1.54, + "grad_norm": 0.17241019588300063, + "learning_rate": 0.00011289497546933212, + "loss": 1.1761, + "step": 845 + }, + { + "epoch": 1.54, + "grad_norm": 0.19940689264510733, + "learning_rate": 0.00011268473316520007, + "loss": 1.186, + "step": 846 + }, + { + "epoch": 1.54, + "grad_norm": 0.17205111928537736, + "learning_rate": 0.00011247443385980078, + "loss": 1.1669, + "step": 847 + }, + { + "epoch": 1.54, + "grad_norm": 0.168610859884427, + "learning_rate": 0.0001122640784981542, + "loss": 1.1223, + "step": 848 + }, + { + "epoch": 1.55, + "grad_norm": 0.1571679218925349, + "learning_rate": 0.0001120536680255323, + "loss": 1.1017, + "step": 849 + }, + { + "epoch": 1.55, + "grad_norm": 0.1731635445936976, + "learning_rate": 0.00011184320338745467, + "loss": 1.1549, + "step": 850 + }, + { + "epoch": 1.55, + "grad_norm": 0.16986390394426032, + "learning_rate": 0.00011163268552968423, + "loss": 1.1561, + "step": 851 + }, + { + "epoch": 1.55, + "grad_norm": 0.17807860518694296, + "learning_rate": 0.00011142211539822318, + "loss": 1.1191, + "step": 852 + }, + { + "epoch": 1.55, + "grad_norm": 0.1848822566355218, + "learning_rate": 0.0001112114939393085, + "loss": 1.1265, + "step": 853 + }, + { + "epoch": 1.56, + "grad_norm": 0.16154933469362054, + "learning_rate": 0.00011100082209940795, + "loss": 1.1696, + "step": 854 + }, + { + "epoch": 1.56, + "grad_norm": 0.17539593545795423, + "learning_rate": 0.00011079010082521557, + "loss": 1.2098, + "step": 855 + }, + { + "epoch": 1.56, + "grad_norm": 0.16955097983529596, + "learning_rate": 0.00011057933106364758, + "loss": 1.134, + "step": 856 + }, + { + "epoch": 1.56, + "grad_norm": 0.1627286025891699, + "learning_rate": 0.00011036851376183812, + "loss": 1.0968, + "step": 857 + }, + { + "epoch": 1.56, + "grad_norm": 0.18241009216885773, + "learning_rate": 0.0001101576498671349, + "loss": 1.0784, + "step": 858 + }, + { + "epoch": 1.56, + "grad_norm": 0.1602213810951013, + "learning_rate": 0.00010994674032709513, + "loss": 1.0272, + "step": 859 + }, + { + "epoch": 1.57, + "grad_norm": 0.17710273355839293, + "learning_rate": 0.00010973578608948094, + "loss": 1.1807, + "step": 860 + }, + { + "epoch": 1.57, + "grad_norm": 0.16846043025211901, + "learning_rate": 0.00010952478810225548, + "loss": 1.1237, + "step": 861 + }, + { + "epoch": 1.57, + "grad_norm": 0.17578602240771765, + "learning_rate": 0.00010931374731357841, + "loss": 1.1305, + "step": 862 + }, + { + "epoch": 1.57, + "grad_norm": 0.1741114211076835, + "learning_rate": 0.0001091026646718018, + "loss": 1.0663, + "step": 863 + }, + { + "epoch": 1.57, + "grad_norm": 0.17419627851243186, + "learning_rate": 0.0001088915411254657, + "loss": 1.0864, + "step": 864 + }, + { + "epoch": 1.58, + "grad_norm": 0.1941495171655647, + "learning_rate": 0.00010868037762329404, + "loss": 1.1471, + "step": 865 + }, + { + "epoch": 1.58, + "grad_norm": 0.16828482820770493, + "learning_rate": 0.0001084691751141903, + "loss": 1.1386, + "step": 866 + }, + { + "epoch": 1.58, + "grad_norm": 0.1812212801001379, + "learning_rate": 0.00010825793454723325, + "loss": 1.193, + "step": 867 + }, + { + "epoch": 1.58, + "grad_norm": 0.31177412914918357, + "learning_rate": 0.00010804665687167262, + "loss": 1.1416, + "step": 868 + }, + { + "epoch": 1.58, + "grad_norm": 0.16307908317649347, + "learning_rate": 0.00010783534303692493, + "loss": 1.0742, + "step": 869 + }, + { + "epoch": 1.58, + "grad_norm": 0.17264040918528867, + "learning_rate": 0.00010762399399256917, + "loss": 1.1196, + "step": 870 + }, + { + "epoch": 1.59, + "grad_norm": 0.16662882952717148, + "learning_rate": 0.00010741261068834265, + "loss": 1.1095, + "step": 871 + }, + { + "epoch": 1.59, + "grad_norm": 0.16909860632274898, + "learning_rate": 0.00010720119407413647, + "loss": 1.0978, + "step": 872 + }, + { + "epoch": 1.59, + "grad_norm": 0.1841227749300958, + "learning_rate": 0.00010698974509999158, + "loss": 1.1249, + "step": 873 + }, + { + "epoch": 1.59, + "grad_norm": 0.163410587005958, + "learning_rate": 0.00010677826471609422, + "loss": 1.1027, + "step": 874 + }, + { + "epoch": 1.59, + "grad_norm": 0.16473194468337188, + "learning_rate": 0.00010656675387277182, + "loss": 1.0452, + "step": 875 + }, + { + "epoch": 1.6, + "grad_norm": 0.16465304101505895, + "learning_rate": 0.00010635521352048872, + "loss": 1.0975, + "step": 876 + }, + { + "epoch": 1.6, + "grad_norm": 0.1648559678877552, + "learning_rate": 0.00010614364460984176, + "loss": 1.1865, + "step": 877 + }, + { + "epoch": 1.6, + "grad_norm": 0.17182083260240222, + "learning_rate": 0.00010593204809155628, + "loss": 1.1666, + "step": 878 + }, + { + "epoch": 1.6, + "grad_norm": 0.262043699845629, + "learning_rate": 0.00010572042491648149, + "loss": 1.1705, + "step": 879 + }, + { + "epoch": 1.6, + "grad_norm": 0.1642146793634745, + "learning_rate": 0.00010550877603558655, + "loss": 1.0943, + "step": 880 + }, + { + "epoch": 1.6, + "grad_norm": 0.1740460470258003, + "learning_rate": 0.00010529710239995605, + "loss": 1.0492, + "step": 881 + }, + { + "epoch": 1.61, + "grad_norm": 0.16424504391420278, + "learning_rate": 0.0001050854049607858, + "loss": 1.0877, + "step": 882 + }, + { + "epoch": 1.61, + "grad_norm": 0.1754464752434157, + "learning_rate": 0.00010487368466937866, + "loss": 1.2004, + "step": 883 + }, + { + "epoch": 1.61, + "grad_norm": 0.17019599469065266, + "learning_rate": 0.00010466194247714008, + "loss": 1.1736, + "step": 884 + }, + { + "epoch": 1.61, + "grad_norm": 0.16453531456339282, + "learning_rate": 0.00010445017933557404, + "loss": 1.0682, + "step": 885 + }, + { + "epoch": 1.61, + "grad_norm": 0.16576841634828685, + "learning_rate": 0.00010423839619627853, + "loss": 1.1239, + "step": 886 + }, + { + "epoch": 1.62, + "grad_norm": 0.17959933112877494, + "learning_rate": 0.00010402659401094152, + "loss": 1.1741, + "step": 887 + }, + { + "epoch": 1.62, + "grad_norm": 0.1764446278189948, + "learning_rate": 0.00010381477373133652, + "loss": 1.1465, + "step": 888 + }, + { + "epoch": 1.62, + "grad_norm": 0.1704634166756464, + "learning_rate": 0.0001036029363093183, + "loss": 1.2092, + "step": 889 + }, + { + "epoch": 1.62, + "grad_norm": 0.16952721202785456, + "learning_rate": 0.00010339108269681874, + "loss": 1.1478, + "step": 890 + }, + { + "epoch": 1.62, + "grad_norm": 0.1787903145977452, + "learning_rate": 0.00010317921384584244, + "loss": 1.1818, + "step": 891 + }, + { + "epoch": 1.62, + "grad_norm": 0.1623533169508836, + "learning_rate": 0.00010296733070846252, + "loss": 1.1352, + "step": 892 + }, + { + "epoch": 1.63, + "grad_norm": 0.17651784025914782, + "learning_rate": 0.00010275543423681621, + "loss": 1.175, + "step": 893 + }, + { + "epoch": 1.63, + "grad_norm": 0.16473007072288753, + "learning_rate": 0.00010254352538310075, + "loss": 1.1837, + "step": 894 + }, + { + "epoch": 1.63, + "grad_norm": 0.16909571695790346, + "learning_rate": 0.00010233160509956894, + "loss": 1.1435, + "step": 895 + }, + { + "epoch": 1.63, + "grad_norm": 0.1904744004900901, + "learning_rate": 0.000102119674338525, + "loss": 1.1549, + "step": 896 + }, + { + "epoch": 1.63, + "grad_norm": 0.17373949711988154, + "learning_rate": 0.00010190773405232024, + "loss": 1.202, + "step": 897 + }, + { + "epoch": 1.64, + "grad_norm": 0.18192103377408994, + "learning_rate": 0.00010169578519334873, + "loss": 1.1851, + "step": 898 + }, + { + "epoch": 1.64, + "grad_norm": 0.18229237608440976, + "learning_rate": 0.0001014838287140431, + "loss": 1.1233, + "step": 899 + }, + { + "epoch": 1.64, + "grad_norm": 0.16940278596266165, + "learning_rate": 0.00010127186556687019, + "loss": 1.169, + "step": 900 + }, + { + "epoch": 1.64, + "grad_norm": 0.18262078712459354, + "learning_rate": 0.00010105989670432681, + "loss": 1.199, + "step": 901 + }, + { + "epoch": 1.64, + "grad_norm": 0.16747513400418446, + "learning_rate": 0.00010084792307893552, + "loss": 1.0666, + "step": 902 + }, + { + "epoch": 1.64, + "grad_norm": 0.1746037115339502, + "learning_rate": 0.00010063594564324012, + "loss": 1.1885, + "step": 903 + }, + { + "epoch": 1.65, + "grad_norm": 0.1732153359208303, + "learning_rate": 0.00010042396534980176, + "loss": 1.1155, + "step": 904 + }, + { + "epoch": 1.65, + "grad_norm": 0.18911672921606115, + "learning_rate": 0.00010021198315119424, + "loss": 1.1495, + "step": 905 + }, + { + "epoch": 1.65, + "grad_norm": 0.1810967486335703, + "learning_rate": 0.0001, + "loss": 1.2386, + "step": 906 + }, + { + "epoch": 1.65, + "grad_norm": 0.16208600336701465, + "learning_rate": 9.978801684880578e-05, + "loss": 1.1016, + "step": 907 + }, + { + "epoch": 1.65, + "grad_norm": 0.17108242412955507, + "learning_rate": 9.957603465019826e-05, + "loss": 1.1659, + "step": 908 + }, + { + "epoch": 1.66, + "grad_norm": 0.17777524975299183, + "learning_rate": 9.93640543567599e-05, + "loss": 1.1877, + "step": 909 + }, + { + "epoch": 1.66, + "grad_norm": 0.32271912031116656, + "learning_rate": 9.91520769210645e-05, + "loss": 1.1254, + "step": 910 + }, + { + "epoch": 1.66, + "grad_norm": 0.16598806172835462, + "learning_rate": 9.894010329567323e-05, + "loss": 1.187, + "step": 911 + }, + { + "epoch": 1.66, + "grad_norm": 0.17032736087667158, + "learning_rate": 9.872813443312984e-05, + "loss": 1.2073, + "step": 912 + }, + { + "epoch": 1.66, + "grad_norm": 0.16171590357915658, + "learning_rate": 9.851617128595694e-05, + "loss": 1.0839, + "step": 913 + }, + { + "epoch": 1.66, + "grad_norm": 0.22200097454760384, + "learning_rate": 9.830421480665128e-05, + "loss": 1.1299, + "step": 914 + }, + { + "epoch": 1.67, + "grad_norm": 0.18159512381331983, + "learning_rate": 9.809226594767978e-05, + "loss": 1.1991, + "step": 915 + }, + { + "epoch": 1.67, + "grad_norm": 0.1729262170321024, + "learning_rate": 9.788032566147505e-05, + "loss": 1.0962, + "step": 916 + }, + { + "epoch": 1.67, + "grad_norm": 0.17432638214872634, + "learning_rate": 9.766839490043108e-05, + "loss": 1.1669, + "step": 917 + }, + { + "epoch": 1.67, + "grad_norm": 0.16088749813770933, + "learning_rate": 9.745647461689931e-05, + "loss": 1.0548, + "step": 918 + }, + { + "epoch": 1.67, + "grad_norm": 0.1741820101835776, + "learning_rate": 9.724456576318381e-05, + "loss": 1.1986, + "step": 919 + }, + { + "epoch": 1.68, + "grad_norm": 0.1749247436598961, + "learning_rate": 9.70326692915375e-05, + "loss": 1.1474, + "step": 920 + }, + { + "epoch": 1.68, + "grad_norm": 0.1637038092120215, + "learning_rate": 9.682078615415754e-05, + "loss": 1.1231, + "step": 921 + }, + { + "epoch": 1.68, + "grad_norm": 0.18807058316399383, + "learning_rate": 9.660891730318128e-05, + "loss": 1.2045, + "step": 922 + }, + { + "epoch": 1.68, + "grad_norm": 0.1748352594360658, + "learning_rate": 9.639706369068171e-05, + "loss": 1.1689, + "step": 923 + }, + { + "epoch": 1.68, + "grad_norm": 0.1716288593635444, + "learning_rate": 9.61852262686635e-05, + "loss": 1.1572, + "step": 924 + }, + { + "epoch": 1.68, + "grad_norm": 0.18271775085545605, + "learning_rate": 9.597340598905852e-05, + "loss": 1.21, + "step": 925 + }, + { + "epoch": 1.69, + "grad_norm": 0.1717878271479738, + "learning_rate": 9.576160380372149e-05, + "loss": 1.0988, + "step": 926 + }, + { + "epoch": 1.69, + "grad_norm": 0.1680182822271049, + "learning_rate": 9.5549820664426e-05, + "loss": 1.0968, + "step": 927 + }, + { + "epoch": 1.69, + "grad_norm": 0.1742620341628087, + "learning_rate": 9.533805752285993e-05, + "loss": 1.1635, + "step": 928 + }, + { + "epoch": 1.69, + "grad_norm": 0.16338762068272702, + "learning_rate": 9.512631533062138e-05, + "loss": 0.9968, + "step": 929 + }, + { + "epoch": 1.69, + "grad_norm": 0.17102172627425277, + "learning_rate": 9.491459503921421e-05, + "loss": 1.1481, + "step": 930 + }, + { + "epoch": 1.7, + "grad_norm": 0.166342175891061, + "learning_rate": 9.470289760004398e-05, + "loss": 1.0721, + "step": 931 + }, + { + "epoch": 1.7, + "grad_norm": 0.2215993724024064, + "learning_rate": 9.449122396441345e-05, + "loss": 1.1877, + "step": 932 + }, + { + "epoch": 1.7, + "grad_norm": 0.1659659894828161, + "learning_rate": 9.427957508351852e-05, + "loss": 1.1691, + "step": 933 + }, + { + "epoch": 1.7, + "grad_norm": 0.1656871284817402, + "learning_rate": 9.406795190844376e-05, + "loss": 1.06, + "step": 934 + }, + { + "epoch": 1.7, + "grad_norm": 0.1586845482565193, + "learning_rate": 9.385635539015825e-05, + "loss": 1.1, + "step": 935 + }, + { + "epoch": 1.7, + "grad_norm": 0.16465420669616035, + "learning_rate": 9.364478647951133e-05, + "loss": 1.1403, + "step": 936 + }, + { + "epoch": 1.71, + "grad_norm": 0.15668641868741373, + "learning_rate": 9.343324612722819e-05, + "loss": 1.1075, + "step": 937 + }, + { + "epoch": 1.71, + "grad_norm": 0.16611169088286057, + "learning_rate": 9.32217352839058e-05, + "loss": 1.1256, + "step": 938 + }, + { + "epoch": 1.71, + "grad_norm": 0.17301783500328655, + "learning_rate": 9.301025490000841e-05, + "loss": 1.1797, + "step": 939 + }, + { + "epoch": 1.71, + "grad_norm": 0.17015053210523748, + "learning_rate": 9.279880592586354e-05, + "loss": 1.1087, + "step": 940 + }, + { + "epoch": 1.71, + "grad_norm": 0.17913490315482883, + "learning_rate": 9.25873893116574e-05, + "loss": 1.1673, + "step": 941 + }, + { + "epoch": 1.72, + "grad_norm": 0.18716341523653843, + "learning_rate": 9.237600600743085e-05, + "loss": 1.1448, + "step": 942 + }, + { + "epoch": 1.72, + "grad_norm": 0.16020067287870843, + "learning_rate": 9.216465696307512e-05, + "loss": 1.1152, + "step": 943 + }, + { + "epoch": 1.72, + "grad_norm": 0.18082661292174337, + "learning_rate": 9.195334312832742e-05, + "loss": 1.1923, + "step": 944 + }, + { + "epoch": 1.72, + "grad_norm": 0.16932315705059348, + "learning_rate": 9.174206545276677e-05, + "loss": 1.2025, + "step": 945 + }, + { + "epoch": 1.72, + "grad_norm": 0.1773723182281052, + "learning_rate": 9.153082488580968e-05, + "loss": 1.1583, + "step": 946 + }, + { + "epoch": 1.72, + "grad_norm": 0.1650084811263765, + "learning_rate": 9.131962237670598e-05, + "loss": 1.1456, + "step": 947 + }, + { + "epoch": 1.73, + "grad_norm": 0.17296637806848497, + "learning_rate": 9.11084588745343e-05, + "loss": 1.1188, + "step": 948 + }, + { + "epoch": 1.73, + "grad_norm": 0.18441757049220042, + "learning_rate": 9.089733532819824e-05, + "loss": 1.1057, + "step": 949 + }, + { + "epoch": 1.73, + "grad_norm": 0.16479278966433117, + "learning_rate": 9.068625268642161e-05, + "loss": 0.9686, + "step": 950 + }, + { + "epoch": 1.73, + "grad_norm": 0.1721522611977686, + "learning_rate": 9.047521189774455e-05, + "loss": 1.1593, + "step": 951 + }, + { + "epoch": 1.73, + "grad_norm": 0.17693809369137542, + "learning_rate": 9.026421391051907e-05, + "loss": 1.141, + "step": 952 + }, + { + "epoch": 1.74, + "grad_norm": 0.16748786371543328, + "learning_rate": 9.005325967290488e-05, + "loss": 1.0954, + "step": 953 + }, + { + "epoch": 1.74, + "grad_norm": 0.16738864271495277, + "learning_rate": 8.984235013286511e-05, + "loss": 1.1954, + "step": 954 + }, + { + "epoch": 1.74, + "grad_norm": 0.17608800377093817, + "learning_rate": 8.963148623816191e-05, + "loss": 1.2054, + "step": 955 + }, + { + "epoch": 1.74, + "grad_norm": 0.1572056318124515, + "learning_rate": 8.942066893635246e-05, + "loss": 1.062, + "step": 956 + }, + { + "epoch": 1.74, + "grad_norm": 0.17321331852374994, + "learning_rate": 8.920989917478447e-05, + "loss": 1.1774, + "step": 957 + }, + { + "epoch": 1.74, + "grad_norm": 0.24022668199221645, + "learning_rate": 8.899917790059208e-05, + "loss": 1.1422, + "step": 958 + }, + { + "epoch": 1.75, + "grad_norm": 0.17078130002322278, + "learning_rate": 8.878850606069153e-05, + "loss": 1.102, + "step": 959 + }, + { + "epoch": 1.75, + "grad_norm": 0.18816676453808523, + "learning_rate": 8.857788460177686e-05, + "loss": 1.1228, + "step": 960 + }, + { + "epoch": 1.75, + "grad_norm": 0.17061330738089536, + "learning_rate": 8.836731447031581e-05, + "loss": 1.1664, + "step": 961 + }, + { + "epoch": 1.75, + "grad_norm": 0.15744686305416977, + "learning_rate": 8.815679661254537e-05, + "loss": 1.0526, + "step": 962 + }, + { + "epoch": 1.75, + "grad_norm": 0.17140964720406338, + "learning_rate": 8.79463319744677e-05, + "loss": 1.1015, + "step": 963 + }, + { + "epoch": 1.76, + "grad_norm": 0.177839632569439, + "learning_rate": 8.77359215018458e-05, + "loss": 1.179, + "step": 964 + }, + { + "epoch": 1.76, + "grad_norm": 0.18976111884283367, + "learning_rate": 8.752556614019923e-05, + "loss": 1.1901, + "step": 965 + }, + { + "epoch": 1.76, + "grad_norm": 0.17757617341847579, + "learning_rate": 8.731526683479992e-05, + "loss": 1.1195, + "step": 966 + }, + { + "epoch": 1.76, + "grad_norm": 0.18025608157061349, + "learning_rate": 8.710502453066792e-05, + "loss": 1.1681, + "step": 967 + }, + { + "epoch": 1.76, + "grad_norm": 0.17991548690786335, + "learning_rate": 8.689484017256711e-05, + "loss": 1.0382, + "step": 968 + }, + { + "epoch": 1.77, + "grad_norm": 0.18377930665665893, + "learning_rate": 8.668471470500095e-05, + "loss": 1.2159, + "step": 969 + }, + { + "epoch": 1.77, + "grad_norm": 0.16785777204268718, + "learning_rate": 8.647464907220832e-05, + "loss": 1.1001, + "step": 970 + }, + { + "epoch": 1.77, + "grad_norm": 0.1718542715910871, + "learning_rate": 8.626464421815919e-05, + "loss": 1.1362, + "step": 971 + }, + { + "epoch": 1.77, + "grad_norm": 0.17567452985919224, + "learning_rate": 8.605470108655045e-05, + "loss": 1.0701, + "step": 972 + }, + { + "epoch": 1.77, + "grad_norm": 0.16645014392512258, + "learning_rate": 8.584482062080154e-05, + "loss": 1.1224, + "step": 973 + }, + { + "epoch": 1.77, + "grad_norm": 0.1683034297078507, + "learning_rate": 8.563500376405041e-05, + "loss": 1.1833, + "step": 974 + }, + { + "epoch": 1.78, + "grad_norm": 0.17027006999646288, + "learning_rate": 8.542525145914905e-05, + "loss": 1.2105, + "step": 975 + }, + { + "epoch": 1.78, + "grad_norm": 0.16661484142693264, + "learning_rate": 8.521556464865954e-05, + "loss": 1.1345, + "step": 976 + }, + { + "epoch": 1.78, + "grad_norm": 0.16535108955142738, + "learning_rate": 8.500594427484946e-05, + "loss": 1.0801, + "step": 977 + }, + { + "epoch": 1.78, + "grad_norm": 0.1619767851731314, + "learning_rate": 8.479639127968792e-05, + "loss": 1.1398, + "step": 978 + }, + { + "epoch": 1.78, + "grad_norm": 0.16148830590153632, + "learning_rate": 8.458690660484134e-05, + "loss": 1.1714, + "step": 979 + }, + { + "epoch": 1.79, + "grad_norm": 0.1718526387843433, + "learning_rate": 8.4377491191669e-05, + "loss": 1.1196, + "step": 980 + }, + { + "epoch": 1.79, + "grad_norm": 0.1589791532312397, + "learning_rate": 8.4168145981219e-05, + "loss": 1.0975, + "step": 981 + }, + { + "epoch": 1.79, + "grad_norm": 0.18228960673193118, + "learning_rate": 8.395887191422397e-05, + "loss": 1.0911, + "step": 982 + }, + { + "epoch": 1.79, + "grad_norm": 0.17051635436251017, + "learning_rate": 8.374966993109687e-05, + "loss": 1.1156, + "step": 983 + }, + { + "epoch": 1.79, + "grad_norm": 0.1734092864786433, + "learning_rate": 8.35405409719266e-05, + "loss": 1.1387, + "step": 984 + }, + { + "epoch": 1.79, + "grad_norm": 0.17960160313198717, + "learning_rate": 8.333148597647414e-05, + "loss": 1.1255, + "step": 985 + }, + { + "epoch": 1.8, + "grad_norm": 0.1667460148360989, + "learning_rate": 8.312250588416791e-05, + "loss": 1.0877, + "step": 986 + }, + { + "epoch": 1.8, + "grad_norm": 0.17227304205526361, + "learning_rate": 8.291360163409978e-05, + "loss": 1.1643, + "step": 987 + }, + { + "epoch": 1.8, + "grad_norm": 0.16172787345643957, + "learning_rate": 8.270477416502091e-05, + "loss": 1.0813, + "step": 988 + }, + { + "epoch": 1.8, + "grad_norm": 0.17717380607042416, + "learning_rate": 8.249602441533726e-05, + "loss": 1.1653, + "step": 989 + }, + { + "epoch": 1.8, + "grad_norm": 0.17646325594155327, + "learning_rate": 8.228735332310575e-05, + "loss": 1.1671, + "step": 990 + }, + { + "epoch": 1.81, + "grad_norm": 0.16889550666185796, + "learning_rate": 8.207876182602958e-05, + "loss": 1.1068, + "step": 991 + }, + { + "epoch": 1.81, + "grad_norm": 0.1668114849825541, + "learning_rate": 8.187025086145458e-05, + "loss": 1.1467, + "step": 992 + }, + { + "epoch": 1.81, + "grad_norm": 0.1721245962364379, + "learning_rate": 8.16618213663644e-05, + "loss": 1.1377, + "step": 993 + }, + { + "epoch": 1.81, + "grad_norm": 0.1929335873892253, + "learning_rate": 8.145347427737678e-05, + "loss": 1.119, + "step": 994 + }, + { + "epoch": 1.81, + "grad_norm": 0.16623130316399012, + "learning_rate": 8.12452105307391e-05, + "loss": 1.0687, + "step": 995 + }, + { + "epoch": 1.81, + "grad_norm": 0.18085333131496864, + "learning_rate": 8.103703106232416e-05, + "loss": 1.1517, + "step": 996 + }, + { + "epoch": 1.82, + "grad_norm": 0.17906886829733978, + "learning_rate": 8.082893680762619e-05, + "loss": 1.1325, + "step": 997 + }, + { + "epoch": 1.82, + "grad_norm": 0.16359826556853824, + "learning_rate": 8.062092870175628e-05, + "loss": 1.0353, + "step": 998 + }, + { + "epoch": 1.82, + "grad_norm": 0.1626009671933035, + "learning_rate": 8.041300767943867e-05, + "loss": 1.1598, + "step": 999 + }, + { + "epoch": 1.82, + "grad_norm": 0.16643269286545453, + "learning_rate": 8.0205174675006e-05, + "loss": 1.1226, + "step": 1000 + }, + { + "epoch": 1.82, + "grad_norm": 0.1699654548245084, + "learning_rate": 7.999743062239557e-05, + "loss": 1.0999, + "step": 1001 + }, + { + "epoch": 1.83, + "grad_norm": 0.1827266429905637, + "learning_rate": 7.978977645514487e-05, + "loss": 1.2791, + "step": 1002 + }, + { + "epoch": 1.83, + "grad_norm": 0.44434388351574605, + "learning_rate": 7.958221310638749e-05, + "loss": 1.1693, + "step": 1003 + }, + { + "epoch": 1.83, + "grad_norm": 0.17634755268047692, + "learning_rate": 7.937474150884897e-05, + "loss": 1.0845, + "step": 1004 + }, + { + "epoch": 1.83, + "grad_norm": 0.177726814790075, + "learning_rate": 7.916736259484239e-05, + "loss": 1.1849, + "step": 1005 + }, + { + "epoch": 1.83, + "grad_norm": 0.16479013332848777, + "learning_rate": 7.896007729626457e-05, + "loss": 1.1296, + "step": 1006 + }, + { + "epoch": 1.83, + "grad_norm": 0.1607507116543152, + "learning_rate": 7.875288654459144e-05, + "loss": 1.0829, + "step": 1007 + }, + { + "epoch": 1.84, + "grad_norm": 0.16387244898588724, + "learning_rate": 7.854579127087417e-05, + "loss": 1.1604, + "step": 1008 + }, + { + "epoch": 1.84, + "grad_norm": 0.163742117997135, + "learning_rate": 7.833879240573487e-05, + "loss": 1.0757, + "step": 1009 + }, + { + "epoch": 1.84, + "grad_norm": 0.16638334168591146, + "learning_rate": 7.813189087936243e-05, + "loss": 1.1637, + "step": 1010 + }, + { + "epoch": 1.84, + "grad_norm": 0.16818864513814694, + "learning_rate": 7.792508762150833e-05, + "loss": 1.1564, + "step": 1011 + }, + { + "epoch": 1.84, + "grad_norm": 0.17901829622442805, + "learning_rate": 7.771838356148232e-05, + "loss": 1.1841, + "step": 1012 + }, + { + "epoch": 1.85, + "grad_norm": 0.16614583867770816, + "learning_rate": 7.751177962814866e-05, + "loss": 1.1255, + "step": 1013 + }, + { + "epoch": 1.85, + "grad_norm": 0.19013974114118293, + "learning_rate": 7.730527674992143e-05, + "loss": 1.1488, + "step": 1014 + }, + { + "epoch": 1.85, + "grad_norm": 0.17442438513245137, + "learning_rate": 7.709887585476075e-05, + "loss": 1.1066, + "step": 1015 + }, + { + "epoch": 1.85, + "grad_norm": 0.17701832779209928, + "learning_rate": 7.689257787016834e-05, + "loss": 1.1755, + "step": 1016 + }, + { + "epoch": 1.85, + "grad_norm": 0.16936912919421254, + "learning_rate": 7.668638372318359e-05, + "loss": 1.1057, + "step": 1017 + }, + { + "epoch": 1.85, + "grad_norm": 0.19112857435989614, + "learning_rate": 7.648029434037915e-05, + "loss": 1.1412, + "step": 1018 + }, + { + "epoch": 1.86, + "grad_norm": 0.16103962948152212, + "learning_rate": 7.627431064785706e-05, + "loss": 1.0929, + "step": 1019 + }, + { + "epoch": 1.86, + "grad_norm": 0.16677548612612422, + "learning_rate": 7.606843357124426e-05, + "loss": 1.2046, + "step": 1020 + }, + { + "epoch": 1.86, + "grad_norm": 0.16233738083605964, + "learning_rate": 7.58626640356886e-05, + "loss": 1.0678, + "step": 1021 + }, + { + "epoch": 1.86, + "grad_norm": 0.16602043351095722, + "learning_rate": 7.565700296585483e-05, + "loss": 1.1216, + "step": 1022 + }, + { + "epoch": 1.86, + "grad_norm": 0.16627151579102536, + "learning_rate": 7.54514512859201e-05, + "loss": 1.0911, + "step": 1023 + }, + { + "epoch": 1.87, + "grad_norm": 0.20281510390834787, + "learning_rate": 7.524600991957012e-05, + "loss": 1.1722, + "step": 1024 + }, + { + "epoch": 1.87, + "grad_norm": 0.16069933741616732, + "learning_rate": 7.504067978999484e-05, + "loss": 1.0839, + "step": 1025 + }, + { + "epoch": 1.87, + "grad_norm": 0.18107514785611215, + "learning_rate": 7.483546181988436e-05, + "loss": 1.0717, + "step": 1026 + }, + { + "epoch": 1.87, + "grad_norm": 0.1721242495617235, + "learning_rate": 7.463035693142473e-05, + "loss": 1.1599, + "step": 1027 + }, + { + "epoch": 1.87, + "grad_norm": 0.17918262771658913, + "learning_rate": 7.442536604629395e-05, + "loss": 1.089, + "step": 1028 + }, + { + "epoch": 1.87, + "grad_norm": 0.17784491718923554, + "learning_rate": 7.422049008565757e-05, + "loss": 1.176, + "step": 1029 + }, + { + "epoch": 1.88, + "grad_norm": 0.15630505382249996, + "learning_rate": 7.401572997016479e-05, + "loss": 1.039, + "step": 1030 + }, + { + "epoch": 1.88, + "grad_norm": 0.17070239450442767, + "learning_rate": 7.381108661994429e-05, + "loss": 1.1059, + "step": 1031 + }, + { + "epoch": 1.88, + "grad_norm": 0.16222624124278331, + "learning_rate": 7.360656095459995e-05, + "loss": 1.024, + "step": 1032 + }, + { + "epoch": 1.88, + "grad_norm": 0.17125506848213806, + "learning_rate": 7.340215389320687e-05, + "loss": 1.1567, + "step": 1033 + }, + { + "epoch": 1.88, + "grad_norm": 0.17959953833242476, + "learning_rate": 7.31978663543071e-05, + "loss": 1.141, + "step": 1034 + }, + { + "epoch": 1.89, + "grad_norm": 0.17010870239393844, + "learning_rate": 7.299369925590574e-05, + "loss": 1.1046, + "step": 1035 + }, + { + "epoch": 1.89, + "grad_norm": 0.15998424148316903, + "learning_rate": 7.278965351546648e-05, + "loss": 1.0627, + "step": 1036 + }, + { + "epoch": 1.89, + "grad_norm": 0.1710612967988063, + "learning_rate": 7.258573004990788e-05, + "loss": 1.1486, + "step": 1037 + }, + { + "epoch": 1.89, + "grad_norm": 0.1607397255850716, + "learning_rate": 7.238192977559884e-05, + "loss": 1.0751, + "step": 1038 + }, + { + "epoch": 1.89, + "grad_norm": 0.17530360487610264, + "learning_rate": 7.217825360835473e-05, + "loss": 1.1281, + "step": 1039 + }, + { + "epoch": 1.89, + "grad_norm": 0.17374375355320706, + "learning_rate": 7.197470246343333e-05, + "loss": 1.1493, + "step": 1040 + }, + { + "epoch": 1.9, + "grad_norm": 0.15987413285182245, + "learning_rate": 7.177127725553045e-05, + "loss": 1.1446, + "step": 1041 + }, + { + "epoch": 1.9, + "grad_norm": 0.1789355664165954, + "learning_rate": 7.156797889877613e-05, + "loss": 1.2304, + "step": 1042 + }, + { + "epoch": 1.9, + "grad_norm": 0.17282586483463735, + "learning_rate": 7.136480830673019e-05, + "loss": 1.1909, + "step": 1043 + }, + { + "epoch": 1.9, + "grad_norm": 0.159213004708279, + "learning_rate": 7.116176639237852e-05, + "loss": 1.0624, + "step": 1044 + }, + { + "epoch": 1.9, + "grad_norm": 0.16197929506166975, + "learning_rate": 7.095885406812866e-05, + "loss": 1.1283, + "step": 1045 + }, + { + "epoch": 1.91, + "grad_norm": 0.16495179889101508, + "learning_rate": 7.075607224580581e-05, + "loss": 1.1378, + "step": 1046 + }, + { + "epoch": 1.91, + "grad_norm": 0.1662731898113741, + "learning_rate": 7.05534218366488e-05, + "loss": 1.0542, + "step": 1047 + }, + { + "epoch": 1.91, + "grad_norm": 0.1650210560996418, + "learning_rate": 7.035090375130581e-05, + "loss": 1.1326, + "step": 1048 + }, + { + "epoch": 1.91, + "grad_norm": 0.1708049460231556, + "learning_rate": 7.014851889983057e-05, + "loss": 1.137, + "step": 1049 + }, + { + "epoch": 1.91, + "grad_norm": 0.17558230008855352, + "learning_rate": 6.994626819167789e-05, + "loss": 1.1359, + "step": 1050 + }, + { + "epoch": 1.91, + "grad_norm": 0.16645826974884173, + "learning_rate": 6.974415253570003e-05, + "loss": 1.1742, + "step": 1051 + }, + { + "epoch": 1.92, + "grad_norm": 0.17184188151368943, + "learning_rate": 6.954217284014211e-05, + "loss": 1.1953, + "step": 1052 + }, + { + "epoch": 1.92, + "grad_norm": 0.17068592296841717, + "learning_rate": 6.934033001263847e-05, + "loss": 1.1301, + "step": 1053 + }, + { + "epoch": 1.92, + "grad_norm": 0.16302700472895656, + "learning_rate": 6.913862496020831e-05, + "loss": 1.1232, + "step": 1054 + }, + { + "epoch": 1.92, + "grad_norm": 0.17057720351205383, + "learning_rate": 6.893705858925178e-05, + "loss": 1.1247, + "step": 1055 + }, + { + "epoch": 1.92, + "grad_norm": 0.1582652133644645, + "learning_rate": 6.873563180554583e-05, + "loss": 1.1203, + "step": 1056 + }, + { + "epoch": 1.93, + "grad_norm": 0.16895339487465857, + "learning_rate": 6.853434551424e-05, + "loss": 1.1846, + "step": 1057 + }, + { + "epoch": 1.93, + "grad_norm": 0.1726993947504367, + "learning_rate": 6.833320061985277e-05, + "loss": 1.1963, + "step": 1058 + }, + { + "epoch": 1.93, + "grad_norm": 0.16055788377798388, + "learning_rate": 6.813219802626698e-05, + "loss": 1.1439, + "step": 1059 + }, + { + "epoch": 1.93, + "grad_norm": 0.17265920805658908, + "learning_rate": 6.793133863672616e-05, + "loss": 1.192, + "step": 1060 + }, + { + "epoch": 1.93, + "grad_norm": 0.1833601588530699, + "learning_rate": 6.773062335383024e-05, + "loss": 1.1128, + "step": 1061 + }, + { + "epoch": 1.93, + "grad_norm": 0.1717674054389487, + "learning_rate": 6.753005307953167e-05, + "loss": 1.134, + "step": 1062 + }, + { + "epoch": 1.94, + "grad_norm": 0.18207071739270747, + "learning_rate": 6.73296287151312e-05, + "loss": 1.1723, + "step": 1063 + }, + { + "epoch": 1.94, + "grad_norm": 0.1624856029472637, + "learning_rate": 6.712935116127389e-05, + "loss": 1.1144, + "step": 1064 + }, + { + "epoch": 1.94, + "grad_norm": 0.19915390833072513, + "learning_rate": 6.692922131794517e-05, + "loss": 1.1072, + "step": 1065 + }, + { + "epoch": 1.94, + "grad_norm": 0.1722567762020263, + "learning_rate": 6.672924008446662e-05, + "loss": 1.1425, + "step": 1066 + }, + { + "epoch": 1.94, + "grad_norm": 0.15963511981578907, + "learning_rate": 6.652940835949208e-05, + "loss": 1.1211, + "step": 1067 + }, + { + "epoch": 1.95, + "grad_norm": 0.16578458195408932, + "learning_rate": 6.632972704100349e-05, + "loss": 1.1244, + "step": 1068 + }, + { + "epoch": 1.95, + "grad_norm": 0.17110384656595054, + "learning_rate": 6.613019702630694e-05, + "loss": 1.1795, + "step": 1069 + }, + { + "epoch": 1.95, + "grad_norm": 0.16990207952122507, + "learning_rate": 6.593081921202859e-05, + "loss": 1.0817, + "step": 1070 + }, + { + "epoch": 1.95, + "grad_norm": 0.16467375370533938, + "learning_rate": 6.57315944941107e-05, + "loss": 1.0977, + "step": 1071 + }, + { + "epoch": 1.95, + "grad_norm": 0.17152460282733728, + "learning_rate": 6.553252376780748e-05, + "loss": 1.1868, + "step": 1072 + }, + { + "epoch": 1.95, + "grad_norm": 0.18132610186641904, + "learning_rate": 6.533360792768122e-05, + "loss": 1.2005, + "step": 1073 + }, + { + "epoch": 1.96, + "grad_norm": 0.16698085910075294, + "learning_rate": 6.513484786759818e-05, + "loss": 1.1362, + "step": 1074 + }, + { + "epoch": 1.96, + "grad_norm": 0.16504199012773973, + "learning_rate": 6.493624448072457e-05, + "loss": 1.1303, + "step": 1075 + }, + { + "epoch": 1.96, + "grad_norm": 0.1779596734054924, + "learning_rate": 6.473779865952263e-05, + "loss": 1.1894, + "step": 1076 + }, + { + "epoch": 1.96, + "grad_norm": 0.16364715074236819, + "learning_rate": 6.453951129574644e-05, + "loss": 1.1443, + "step": 1077 + }, + { + "epoch": 1.96, + "grad_norm": 0.16251550362999542, + "learning_rate": 6.434138328043815e-05, + "loss": 1.1238, + "step": 1078 + }, + { + "epoch": 1.97, + "grad_norm": 0.1666990603079008, + "learning_rate": 6.414341550392368e-05, + "loss": 1.0909, + "step": 1079 + }, + { + "epoch": 1.97, + "grad_norm": 0.15779118156939148, + "learning_rate": 6.39456088558091e-05, + "loss": 1.1109, + "step": 1080 + }, + { + "epoch": 1.97, + "grad_norm": 0.1677767995314692, + "learning_rate": 6.374796422497621e-05, + "loss": 1.2103, + "step": 1081 + }, + { + "epoch": 1.97, + "grad_norm": 0.17165919802575422, + "learning_rate": 6.355048249957886e-05, + "loss": 1.1879, + "step": 1082 + }, + { + "epoch": 1.97, + "grad_norm": 0.1918026223221136, + "learning_rate": 6.33531645670389e-05, + "loss": 1.1733, + "step": 1083 + }, + { + "epoch": 1.97, + "grad_norm": 0.1787527260843118, + "learning_rate": 6.3156011314042e-05, + "loss": 1.1338, + "step": 1084 + }, + { + "epoch": 1.98, + "grad_norm": 0.1694260433762424, + "learning_rate": 6.2959023626534e-05, + "loss": 1.1537, + "step": 1085 + }, + { + "epoch": 1.98, + "grad_norm": 0.18311039386845188, + "learning_rate": 6.276220238971652e-05, + "loss": 1.1976, + "step": 1086 + }, + { + "epoch": 1.98, + "grad_norm": 0.17113962947413622, + "learning_rate": 6.256554848804343e-05, + "loss": 1.0813, + "step": 1087 + }, + { + "epoch": 1.98, + "grad_norm": 0.1664054538940142, + "learning_rate": 6.236906280521646e-05, + "loss": 1.1514, + "step": 1088 + }, + { + "epoch": 1.98, + "grad_norm": 0.16227842164425618, + "learning_rate": 6.217274622418153e-05, + "loss": 1.0597, + "step": 1089 + }, + { + "epoch": 1.99, + "grad_norm": 0.17755371081391708, + "learning_rate": 6.197659962712461e-05, + "loss": 1.19, + "step": 1090 + }, + { + "epoch": 1.99, + "grad_norm": 0.15844523213403552, + "learning_rate": 6.178062389546784e-05, + "loss": 1.0587, + "step": 1091 + }, + { + "epoch": 1.99, + "grad_norm": 0.16903107223771263, + "learning_rate": 6.158481990986557e-05, + "loss": 1.1339, + "step": 1092 + }, + { + "epoch": 1.99, + "grad_norm": 0.17002303254909312, + "learning_rate": 6.138918855020028e-05, + "loss": 1.1158, + "step": 1093 + }, + { + "epoch": 1.99, + "grad_norm": 0.16613843815618992, + "learning_rate": 6.11937306955789e-05, + "loss": 1.1894, + "step": 1094 + }, + { + "epoch": 1.99, + "grad_norm": 0.17111783959067672, + "learning_rate": 6.099844722432843e-05, + "loss": 1.1974, + "step": 1095 + }, + { + "epoch": 2.0, + "grad_norm": 0.1670020953276936, + "learning_rate": 6.080333901399251e-05, + "loss": 1.1018, + "step": 1096 + }, + { + "epoch": 2.0, + "grad_norm": 0.18080514034863332, + "learning_rate": 6.060840694132701e-05, + "loss": 1.1845, + "step": 1097 + }, + { + "epoch": 2.0, + "grad_norm": 0.18525347317947505, + "learning_rate": 6.0413651882296406e-05, + "loss": 1.0796, + "step": 1098 + }, + { + "epoch": 2.0, + "grad_norm": 0.20400403778138837, + "learning_rate": 6.021907471206971e-05, + "loss": 1.0117, + "step": 1099 + }, + { + "epoch": 2.0, + "grad_norm": 0.1641784925803925, + "learning_rate": 6.002467630501646e-05, + "loss": 1.097, + "step": 1100 + }, + { + "epoch": 2.01, + "grad_norm": 0.16623722195850973, + "learning_rate": 5.983045753470308e-05, + "loss": 1.0141, + "step": 1101 + }, + { + "epoch": 2.01, + "grad_norm": 0.1810578331051459, + "learning_rate": 5.9636419273888546e-05, + "loss": 1.0277, + "step": 1102 + }, + { + "epoch": 2.01, + "grad_norm": 0.18889563641964546, + "learning_rate": 5.944256239452085e-05, + "loss": 0.9148, + "step": 1103 + }, + { + "epoch": 2.01, + "grad_norm": 0.18087970961891994, + "learning_rate": 5.924888776773281e-05, + "loss": 1.0529, + "step": 1104 + }, + { + "epoch": 2.01, + "grad_norm": 0.1733509400885039, + "learning_rate": 5.9055396263838315e-05, + "loss": 0.9925, + "step": 1105 + }, + { + "epoch": 2.01, + "grad_norm": 0.17285204625514128, + "learning_rate": 5.886208875232833e-05, + "loss": 1.0022, + "step": 1106 + }, + { + "epoch": 2.02, + "grad_norm": 0.17977965852266828, + "learning_rate": 5.8668966101867005e-05, + "loss": 1.0279, + "step": 1107 + }, + { + "epoch": 2.02, + "grad_norm": 0.1805768384069582, + "learning_rate": 5.847602918028785e-05, + "loss": 0.9688, + "step": 1108 + }, + { + "epoch": 2.02, + "grad_norm": 0.19307882052881373, + "learning_rate": 5.82832788545896e-05, + "loss": 1.0361, + "step": 1109 + }, + { + "epoch": 2.02, + "grad_norm": 0.18038343158251127, + "learning_rate": 5.809071599093272e-05, + "loss": 0.9618, + "step": 1110 + }, + { + "epoch": 2.02, + "grad_norm": 0.18081635249066572, + "learning_rate": 5.789834145463506e-05, + "loss": 0.9634, + "step": 1111 + }, + { + "epoch": 2.03, + "grad_norm": 0.2132256408954024, + "learning_rate": 5.7706156110168384e-05, + "loss": 0.9917, + "step": 1112 + }, + { + "epoch": 2.03, + "grad_norm": 0.20894695338897498, + "learning_rate": 5.751416082115408e-05, + "loss": 1.0608, + "step": 1113 + }, + { + "epoch": 2.03, + "grad_norm": 0.18561065850228853, + "learning_rate": 5.732235645035964e-05, + "loss": 1.0319, + "step": 1114 + }, + { + "epoch": 2.03, + "grad_norm": 0.19972592759433763, + "learning_rate": 5.713074385969457e-05, + "loss": 1.068, + "step": 1115 + }, + { + "epoch": 2.03, + "grad_norm": 0.18875304906041382, + "learning_rate": 5.6939323910206645e-05, + "loss": 1.0706, + "step": 1116 + }, + { + "epoch": 2.03, + "grad_norm": 0.20051381946623245, + "learning_rate": 5.6748097462077796e-05, + "loss": 1.0879, + "step": 1117 + }, + { + "epoch": 2.04, + "grad_norm": 0.18028693825056266, + "learning_rate": 5.65570653746206e-05, + "loss": 0.9736, + "step": 1118 + }, + { + "epoch": 2.04, + "grad_norm": 0.18371629750739465, + "learning_rate": 5.63662285062742e-05, + "loss": 1.0459, + "step": 1119 + }, + { + "epoch": 2.04, + "grad_norm": 0.18620839376911252, + "learning_rate": 5.6175587714600385e-05, + "loss": 1.0564, + "step": 1120 + }, + { + "epoch": 2.04, + "grad_norm": 0.1761497636850895, + "learning_rate": 5.598514385627996e-05, + "loss": 0.9928, + "step": 1121 + }, + { + "epoch": 2.04, + "grad_norm": 0.18717899836165747, + "learning_rate": 5.579489778710867e-05, + "loss": 0.9903, + "step": 1122 + }, + { + "epoch": 2.05, + "grad_norm": 0.1792885931651523, + "learning_rate": 5.56048503619935e-05, + "loss": 0.9889, + "step": 1123 + }, + { + "epoch": 2.05, + "grad_norm": 0.18624892968399204, + "learning_rate": 5.541500243494888e-05, + "loss": 1.0291, + "step": 1124 + }, + { + "epoch": 2.05, + "grad_norm": 0.17837324324146603, + "learning_rate": 5.522535485909257e-05, + "loss": 1.0182, + "step": 1125 + }, + { + "epoch": 2.05, + "grad_norm": 0.18979627533160237, + "learning_rate": 5.5035908486642195e-05, + "loss": 0.9828, + "step": 1126 + }, + { + "epoch": 2.05, + "grad_norm": 0.19273836099434338, + "learning_rate": 5.484666416891109e-05, + "loss": 1.0496, + "step": 1127 + }, + { + "epoch": 2.05, + "grad_norm": 0.19543417583922992, + "learning_rate": 5.4657622756304704e-05, + "loss": 0.9901, + "step": 1128 + }, + { + "epoch": 2.06, + "grad_norm": 0.19508414506527536, + "learning_rate": 5.4468785098316674e-05, + "loss": 1.0326, + "step": 1129 + }, + { + "epoch": 2.06, + "grad_norm": 0.185374829651796, + "learning_rate": 5.428015204352508e-05, + "loss": 0.9779, + "step": 1130 + }, + { + "epoch": 2.06, + "grad_norm": 0.19699548343809967, + "learning_rate": 5.409172443958843e-05, + "loss": 1.0246, + "step": 1131 + }, + { + "epoch": 2.06, + "grad_norm": 0.20300075118398447, + "learning_rate": 5.3903503133242136e-05, + "loss": 0.969, + "step": 1132 + }, + { + "epoch": 2.06, + "grad_norm": 0.19110544018613584, + "learning_rate": 5.371548897029457e-05, + "loss": 1.0747, + "step": 1133 + }, + { + "epoch": 2.07, + "grad_norm": 0.18550194883382987, + "learning_rate": 5.3527682795623146e-05, + "loss": 1.0157, + "step": 1134 + }, + { + "epoch": 2.07, + "grad_norm": 0.18331490400990383, + "learning_rate": 5.334008545317082e-05, + "loss": 0.9947, + "step": 1135 + }, + { + "epoch": 2.07, + "grad_norm": 0.18751165571321418, + "learning_rate": 5.31526977859419e-05, + "loss": 1.0502, + "step": 1136 + }, + { + "epoch": 2.07, + "grad_norm": 0.19211604448762654, + "learning_rate": 5.296552063599868e-05, + "loss": 1.0145, + "step": 1137 + }, + { + "epoch": 2.07, + "grad_norm": 0.186297345787599, + "learning_rate": 5.277855484445735e-05, + "loss": 1.0537, + "step": 1138 + }, + { + "epoch": 2.07, + "grad_norm": 0.18982650964521386, + "learning_rate": 5.259180125148442e-05, + "loss": 0.9838, + "step": 1139 + }, + { + "epoch": 2.08, + "grad_norm": 0.19925867583848977, + "learning_rate": 5.240526069629265e-05, + "loss": 1.0231, + "step": 1140 + }, + { + "epoch": 2.08, + "grad_norm": 0.1884322287285855, + "learning_rate": 5.22189340171377e-05, + "loss": 0.9296, + "step": 1141 + }, + { + "epoch": 2.08, + "grad_norm": 0.1796241132232387, + "learning_rate": 5.203282205131395e-05, + "loss": 0.9681, + "step": 1142 + }, + { + "epoch": 2.08, + "grad_norm": 0.1839238478548194, + "learning_rate": 5.1846925635151045e-05, + "loss": 0.9101, + "step": 1143 + }, + { + "epoch": 2.08, + "grad_norm": 0.19345190226496187, + "learning_rate": 5.166124560401002e-05, + "loss": 0.9651, + "step": 1144 + }, + { + "epoch": 2.09, + "grad_norm": 0.18755030741172238, + "learning_rate": 5.1475782792279426e-05, + "loss": 1.0174, + "step": 1145 + }, + { + "epoch": 2.09, + "grad_norm": 0.18631640479941738, + "learning_rate": 5.129053803337181e-05, + "loss": 1.035, + "step": 1146 + }, + { + "epoch": 2.09, + "grad_norm": 0.1975877349106955, + "learning_rate": 5.1105512159719805e-05, + "loss": 0.9989, + "step": 1147 + }, + { + "epoch": 2.09, + "grad_norm": 0.18636484306751205, + "learning_rate": 5.092070600277252e-05, + "loss": 1.0426, + "step": 1148 + }, + { + "epoch": 2.09, + "grad_norm": 0.18611358587003984, + "learning_rate": 5.073612039299157e-05, + "loss": 0.9949, + "step": 1149 + }, + { + "epoch": 2.09, + "grad_norm": 0.1910181776639786, + "learning_rate": 5.0551756159847666e-05, + "loss": 0.9716, + "step": 1150 + }, + { + "epoch": 2.1, + "grad_norm": 0.1896157384615499, + "learning_rate": 5.036761413181659e-05, + "loss": 1.0205, + "step": 1151 + }, + { + "epoch": 2.1, + "grad_norm": 0.18470372913964078, + "learning_rate": 5.0183695136375664e-05, + "loss": 0.9938, + "step": 1152 + }, + { + "epoch": 2.1, + "grad_norm": 0.19182549114492065, + "learning_rate": 5.000000000000002e-05, + "loss": 1.0717, + "step": 1153 + }, + { + "epoch": 2.1, + "grad_norm": 0.20299654057754923, + "learning_rate": 4.9816529548158706e-05, + "loss": 1.0932, + "step": 1154 + }, + { + "epoch": 2.1, + "grad_norm": 0.18753899816476238, + "learning_rate": 4.963328460531127e-05, + "loss": 1.0785, + "step": 1155 + }, + { + "epoch": 2.11, + "grad_norm": 0.1912398459667478, + "learning_rate": 4.9450265994903664e-05, + "loss": 1.0354, + "step": 1156 + }, + { + "epoch": 2.11, + "grad_norm": 0.1970798090720647, + "learning_rate": 4.9267474539365086e-05, + "loss": 1.0394, + "step": 1157 + }, + { + "epoch": 2.11, + "grad_norm": 0.19438353474466769, + "learning_rate": 4.908491106010368e-05, + "loss": 1.0563, + "step": 1158 + }, + { + "epoch": 2.11, + "grad_norm": 0.18583224152081138, + "learning_rate": 4.8902576377503316e-05, + "loss": 1.0375, + "step": 1159 + }, + { + "epoch": 2.11, + "grad_norm": 0.21067204344598053, + "learning_rate": 4.87204713109196e-05, + "loss": 1.0275, + "step": 1160 + }, + { + "epoch": 2.11, + "grad_norm": 0.19271054378491778, + "learning_rate": 4.8538596678676406e-05, + "loss": 1.0241, + "step": 1161 + }, + { + "epoch": 2.12, + "grad_norm": 0.20698647247820803, + "learning_rate": 4.8356953298062115e-05, + "loss": 1.0183, + "step": 1162 + }, + { + "epoch": 2.12, + "grad_norm": 0.19147199804367737, + "learning_rate": 4.817554198532581e-05, + "loss": 1.0464, + "step": 1163 + }, + { + "epoch": 2.12, + "grad_norm": 0.18948541542489386, + "learning_rate": 4.79943635556739e-05, + "loss": 0.942, + "step": 1164 + }, + { + "epoch": 2.12, + "grad_norm": 0.20063322256200955, + "learning_rate": 4.7813418823266146e-05, + "loss": 1.0207, + "step": 1165 + }, + { + "epoch": 2.12, + "grad_norm": 0.20277313248067322, + "learning_rate": 4.763270860121222e-05, + "loss": 1.1196, + "step": 1166 + }, + { + "epoch": 2.13, + "grad_norm": 0.18916247962333935, + "learning_rate": 4.745223370156797e-05, + "loss": 1.0635, + "step": 1167 + }, + { + "epoch": 2.13, + "grad_norm": 0.20770456045992683, + "learning_rate": 4.727199493533181e-05, + "loss": 1.0641, + "step": 1168 + }, + { + "epoch": 2.13, + "grad_norm": 0.1928796702717179, + "learning_rate": 4.709199311244098e-05, + "loss": 1.0173, + "step": 1169 + }, + { + "epoch": 2.13, + "grad_norm": 0.19067624131226646, + "learning_rate": 4.691222904176791e-05, + "loss": 1.0739, + "step": 1170 + }, + { + "epoch": 2.13, + "grad_norm": 0.18794968941934675, + "learning_rate": 4.6732703531116874e-05, + "loss": 0.9853, + "step": 1171 + }, + { + "epoch": 2.13, + "grad_norm": 0.18128537252239216, + "learning_rate": 4.6553417387219886e-05, + "loss": 0.9791, + "step": 1172 + }, + { + "epoch": 2.14, + "grad_norm": 0.19969579280811037, + "learning_rate": 4.6374371415733496e-05, + "loss": 1.0328, + "step": 1173 + }, + { + "epoch": 2.14, + "grad_norm": 0.17771947900276572, + "learning_rate": 4.619556642123484e-05, + "loss": 0.9977, + "step": 1174 + }, + { + "epoch": 2.14, + "grad_norm": 0.18877925953999256, + "learning_rate": 4.601700320721829e-05, + "loss": 1.0163, + "step": 1175 + }, + { + "epoch": 2.14, + "grad_norm": 0.1976777570336078, + "learning_rate": 4.583868257609171e-05, + "loss": 0.9831, + "step": 1176 + }, + { + "epoch": 2.14, + "grad_norm": 0.1926309732820373, + "learning_rate": 4.566060532917288e-05, + "loss": 1.0369, + "step": 1177 + }, + { + "epoch": 2.15, + "grad_norm": 0.1981154480792855, + "learning_rate": 4.5482772266685844e-05, + "loss": 1.0265, + "step": 1178 + }, + { + "epoch": 2.15, + "grad_norm": 0.18961229347269684, + "learning_rate": 4.530518418775733e-05, + "loss": 0.978, + "step": 1179 + }, + { + "epoch": 2.15, + "grad_norm": 0.1902416426203216, + "learning_rate": 4.512784189041328e-05, + "loss": 1.0476, + "step": 1180 + }, + { + "epoch": 2.15, + "grad_norm": 0.1963783030038318, + "learning_rate": 4.495074617157513e-05, + "loss": 1.1034, + "step": 1181 + }, + { + "epoch": 2.15, + "grad_norm": 0.1976594259307984, + "learning_rate": 4.477389782705628e-05, + "loss": 1.0411, + "step": 1182 + }, + { + "epoch": 2.15, + "grad_norm": 0.19599497931317425, + "learning_rate": 4.459729765155842e-05, + "loss": 0.9831, + "step": 1183 + }, + { + "epoch": 2.16, + "grad_norm": 0.18768317847907803, + "learning_rate": 4.4420946438668164e-05, + "loss": 0.9667, + "step": 1184 + }, + { + "epoch": 2.16, + "grad_norm": 0.1893955423774859, + "learning_rate": 4.424484498085335e-05, + "loss": 1.0176, + "step": 1185 + }, + { + "epoch": 2.16, + "grad_norm": 0.185214177313968, + "learning_rate": 4.4068994069459376e-05, + "loss": 0.9672, + "step": 1186 + }, + { + "epoch": 2.16, + "grad_norm": 0.2001674222762866, + "learning_rate": 4.389339449470592e-05, + "loss": 1.0872, + "step": 1187 + }, + { + "epoch": 2.16, + "grad_norm": 0.18927674242494813, + "learning_rate": 4.371804704568309e-05, + "loss": 1.0305, + "step": 1188 + }, + { + "epoch": 2.17, + "grad_norm": 0.189797567081393, + "learning_rate": 4.354295251034811e-05, + "loss": 0.9866, + "step": 1189 + }, + { + "epoch": 2.17, + "grad_norm": 0.19621874043278917, + "learning_rate": 4.336811167552167e-05, + "loss": 0.9989, + "step": 1190 + }, + { + "epoch": 2.17, + "grad_norm": 0.1961781136176054, + "learning_rate": 4.3193525326884435e-05, + "loss": 1.1191, + "step": 1191 + }, + { + "epoch": 2.17, + "grad_norm": 0.19610651673820242, + "learning_rate": 4.301919424897338e-05, + "loss": 1.0448, + "step": 1192 + }, + { + "epoch": 2.17, + "grad_norm": 0.19393858136213526, + "learning_rate": 4.284511922517853e-05, + "loss": 1.021, + "step": 1193 + }, + { + "epoch": 2.17, + "grad_norm": 0.19611938956585503, + "learning_rate": 4.267130103773911e-05, + "loss": 1.003, + "step": 1194 + }, + { + "epoch": 2.18, + "grad_norm": 0.19521183418608554, + "learning_rate": 4.249774046774034e-05, + "loss": 0.9956, + "step": 1195 + }, + { + "epoch": 2.18, + "grad_norm": 0.1903820141620171, + "learning_rate": 4.232443829510977e-05, + "loss": 0.988, + "step": 1196 + }, + { + "epoch": 2.18, + "grad_norm": 0.19917471096571515, + "learning_rate": 4.215139529861367e-05, + "loss": 1.0294, + "step": 1197 + }, + { + "epoch": 2.18, + "grad_norm": 0.1989120051737976, + "learning_rate": 4.19786122558538e-05, + "loss": 0.9865, + "step": 1198 + }, + { + "epoch": 2.18, + "grad_norm": 0.1878933904328363, + "learning_rate": 4.1806089943263706e-05, + "loss": 0.9914, + "step": 1199 + }, + { + "epoch": 2.19, + "grad_norm": 0.1889686688150144, + "learning_rate": 4.163382913610533e-05, + "loss": 0.9183, + "step": 1200 + }, + { + "epoch": 2.19, + "grad_norm": 0.19599798287453252, + "learning_rate": 4.146183060846538e-05, + "loss": 0.9809, + "step": 1201 + }, + { + "epoch": 2.19, + "grad_norm": 0.19159410980792513, + "learning_rate": 4.129009513325212e-05, + "loss": 1.0689, + "step": 1202 + }, + { + "epoch": 2.19, + "grad_norm": 0.1916180919600845, + "learning_rate": 4.111862348219158e-05, + "loss": 1.0453, + "step": 1203 + }, + { + "epoch": 2.19, + "grad_norm": 0.18629810473389968, + "learning_rate": 4.094741642582434e-05, + "loss": 0.9991, + "step": 1204 + }, + { + "epoch": 2.19, + "grad_norm": 0.18983910244997687, + "learning_rate": 4.077647473350201e-05, + "loss": 1.0355, + "step": 1205 + }, + { + "epoch": 2.2, + "grad_norm": 0.19604918383133388, + "learning_rate": 4.060579917338362e-05, + "loss": 0.9918, + "step": 1206 + }, + { + "epoch": 2.2, + "grad_norm": 0.19914658125329224, + "learning_rate": 4.043539051243239e-05, + "loss": 1.0083, + "step": 1207 + }, + { + "epoch": 2.2, + "grad_norm": 0.19984032461233703, + "learning_rate": 4.026524951641204e-05, + "loss": 1.0402, + "step": 1208 + }, + { + "epoch": 2.2, + "grad_norm": 0.19713889646881289, + "learning_rate": 4.009537694988372e-05, + "loss": 1.0814, + "step": 1209 + }, + { + "epoch": 2.2, + "grad_norm": 0.18984773417984263, + "learning_rate": 3.99257735762021e-05, + "loss": 0.9727, + "step": 1210 + }, + { + "epoch": 2.21, + "grad_norm": 0.1969234745130071, + "learning_rate": 3.975644015751234e-05, + "loss": 1.1246, + "step": 1211 + }, + { + "epoch": 2.21, + "grad_norm": 0.20095976880290764, + "learning_rate": 3.958737745474638e-05, + "loss": 1.0264, + "step": 1212 + }, + { + "epoch": 2.21, + "grad_norm": 0.19573419897255526, + "learning_rate": 3.9418586227619746e-05, + "loss": 0.9699, + "step": 1213 + }, + { + "epoch": 2.21, + "grad_norm": 0.20794714498925052, + "learning_rate": 3.9250067234628054e-05, + "loss": 1.0871, + "step": 1214 + }, + { + "epoch": 2.21, + "grad_norm": 0.200309362571014, + "learning_rate": 3.9081821233043436e-05, + "loss": 1.0869, + "step": 1215 + }, + { + "epoch": 2.21, + "grad_norm": 0.21221715688656814, + "learning_rate": 3.891384897891148e-05, + "loss": 1.0829, + "step": 1216 + }, + { + "epoch": 2.22, + "grad_norm": 0.1895941245282512, + "learning_rate": 3.874615122704746e-05, + "loss": 0.9934, + "step": 1217 + }, + { + "epoch": 2.22, + "grad_norm": 0.20282251657546532, + "learning_rate": 3.857872873103322e-05, + "loss": 1.0394, + "step": 1218 + }, + { + "epoch": 2.22, + "grad_norm": 0.20092601921573158, + "learning_rate": 3.8411582243213694e-05, + "loss": 1.0626, + "step": 1219 + }, + { + "epoch": 2.22, + "grad_norm": 0.1967616729990936, + "learning_rate": 3.824471251469353e-05, + "loss": 1.1027, + "step": 1220 + }, + { + "epoch": 2.22, + "grad_norm": 0.1974168096006322, + "learning_rate": 3.807812029533362e-05, + "loss": 1.0285, + "step": 1221 + }, + { + "epoch": 2.23, + "grad_norm": 0.2005755550749436, + "learning_rate": 3.791180633374785e-05, + "loss": 1.0579, + "step": 1222 + }, + { + "epoch": 2.23, + "grad_norm": 0.22982259456971435, + "learning_rate": 3.7745771377299755e-05, + "loss": 0.9251, + "step": 1223 + }, + { + "epoch": 2.23, + "grad_norm": 0.19486627427023995, + "learning_rate": 3.758001617209906e-05, + "loss": 0.9991, + "step": 1224 + }, + { + "epoch": 2.23, + "grad_norm": 0.19268654100626367, + "learning_rate": 3.7414541462998446e-05, + "loss": 1.0843, + "step": 1225 + }, + { + "epoch": 2.23, + "grad_norm": 0.19142859148030442, + "learning_rate": 3.724934799358998e-05, + "loss": 0.9734, + "step": 1226 + }, + { + "epoch": 2.23, + "grad_norm": 0.2078245745909079, + "learning_rate": 3.708443650620206e-05, + "loss": 1.079, + "step": 1227 + }, + { + "epoch": 2.24, + "grad_norm": 0.18957789857941185, + "learning_rate": 3.691980774189591e-05, + "loss": 0.9865, + "step": 1228 + }, + { + "epoch": 2.24, + "grad_norm": 0.2022379994557547, + "learning_rate": 3.675546244046228e-05, + "loss": 1.0147, + "step": 1229 + }, + { + "epoch": 2.24, + "grad_norm": 0.20484113736244272, + "learning_rate": 3.6591401340418116e-05, + "loss": 1.0491, + "step": 1230 + }, + { + "epoch": 2.24, + "grad_norm": 0.19932572874171609, + "learning_rate": 3.642762517900322e-05, + "loss": 1.0187, + "step": 1231 + }, + { + "epoch": 2.24, + "grad_norm": 0.19513525838609894, + "learning_rate": 3.626413469217702e-05, + "loss": 1.0346, + "step": 1232 + }, + { + "epoch": 2.25, + "grad_norm": 0.18447148945806335, + "learning_rate": 3.6100930614615205e-05, + "loss": 0.9713, + "step": 1233 + }, + { + "epoch": 2.25, + "grad_norm": 0.19615772374760426, + "learning_rate": 3.593801367970645e-05, + "loss": 1.0279, + "step": 1234 + }, + { + "epoch": 2.25, + "grad_norm": 0.195942402850121, + "learning_rate": 3.5775384619549e-05, + "loss": 1.044, + "step": 1235 + }, + { + "epoch": 2.25, + "grad_norm": 0.20033402806459327, + "learning_rate": 3.561304416494762e-05, + "loss": 0.9634, + "step": 1236 + }, + { + "epoch": 2.25, + "grad_norm": 0.20133608619277885, + "learning_rate": 3.5450993045409996e-05, + "loss": 0.9424, + "step": 1237 + }, + { + "epoch": 2.26, + "grad_norm": 0.1976979767858137, + "learning_rate": 3.5289231989143865e-05, + "loss": 1.0329, + "step": 1238 + }, + { + "epoch": 2.26, + "grad_norm": 0.1866564132240131, + "learning_rate": 3.512776172305331e-05, + "loss": 0.9951, + "step": 1239 + }, + { + "epoch": 2.26, + "grad_norm": 0.20643351098366144, + "learning_rate": 3.496658297273574e-05, + "loss": 1.0768, + "step": 1240 + }, + { + "epoch": 2.26, + "grad_norm": 0.2016711813980471, + "learning_rate": 3.4805696462478634e-05, + "loss": 1.0351, + "step": 1241 + }, + { + "epoch": 2.26, + "grad_norm": 0.19967214131051508, + "learning_rate": 3.46451029152562e-05, + "loss": 1.0102, + "step": 1242 + }, + { + "epoch": 2.26, + "grad_norm": 0.1983504742901789, + "learning_rate": 3.448480305272619e-05, + "loss": 1.0268, + "step": 1243 + }, + { + "epoch": 2.27, + "grad_norm": 0.19682722769626732, + "learning_rate": 3.4324797595226565e-05, + "loss": 1.0053, + "step": 1244 + }, + { + "epoch": 2.27, + "grad_norm": 0.20088167609003055, + "learning_rate": 3.41650872617724e-05, + "loss": 0.9733, + "step": 1245 + }, + { + "epoch": 2.27, + "grad_norm": 0.20335900600853737, + "learning_rate": 3.400567277005247e-05, + "loss": 0.9861, + "step": 1246 + }, + { + "epoch": 2.27, + "grad_norm": 0.20886916546979215, + "learning_rate": 3.3846554836426234e-05, + "loss": 1.0473, + "step": 1247 + }, + { + "epoch": 2.27, + "grad_norm": 0.2010663342671541, + "learning_rate": 3.36877341759205e-05, + "loss": 1.0358, + "step": 1248 + }, + { + "epoch": 2.28, + "grad_norm": 0.21062432438070422, + "learning_rate": 3.3529211502226123e-05, + "loss": 1.0166, + "step": 1249 + }, + { + "epoch": 2.28, + "grad_norm": 0.2208916600042823, + "learning_rate": 3.337098752769503e-05, + "loss": 1.1117, + "step": 1250 + }, + { + "epoch": 2.28, + "grad_norm": 0.18314118494949805, + "learning_rate": 3.321306296333673e-05, + "loss": 0.9577, + "step": 1251 + }, + { + "epoch": 2.28, + "grad_norm": 0.2165551432625507, + "learning_rate": 3.3055438518815486e-05, + "loss": 1.0629, + "step": 1252 + }, + { + "epoch": 2.28, + "grad_norm": 0.1919444697411042, + "learning_rate": 3.289811490244671e-05, + "loss": 1.0157, + "step": 1253 + }, + { + "epoch": 2.28, + "grad_norm": 0.19605731642039462, + "learning_rate": 3.274109282119413e-05, + "loss": 1.0183, + "step": 1254 + }, + { + "epoch": 2.29, + "grad_norm": 0.1978411361540464, + "learning_rate": 3.258437298066634e-05, + "loss": 1.0333, + "step": 1255 + }, + { + "epoch": 2.29, + "grad_norm": 0.1954273247181233, + "learning_rate": 3.242795608511388e-05, + "loss": 1.0204, + "step": 1256 + }, + { + "epoch": 2.29, + "grad_norm": 0.19539709125757848, + "learning_rate": 3.227184283742591e-05, + "loss": 1.0393, + "step": 1257 + }, + { + "epoch": 2.29, + "grad_norm": 0.19509958919620607, + "learning_rate": 3.2116033939127024e-05, + "loss": 1.0703, + "step": 1258 + }, + { + "epoch": 2.29, + "grad_norm": 0.19145181109714973, + "learning_rate": 3.196053009037428e-05, + "loss": 0.963, + "step": 1259 + }, + { + "epoch": 2.3, + "grad_norm": 0.19905167727180642, + "learning_rate": 3.180533198995379e-05, + "loss": 1.109, + "step": 1260 + }, + { + "epoch": 2.3, + "grad_norm": 0.20242244581363775, + "learning_rate": 3.165044033527789e-05, + "loss": 1.0477, + "step": 1261 + }, + { + "epoch": 2.3, + "grad_norm": 0.19788917203746156, + "learning_rate": 3.1495855822381715e-05, + "loss": 1.0331, + "step": 1262 + }, + { + "epoch": 2.3, + "grad_norm": 0.20117465106402488, + "learning_rate": 3.134157914592032e-05, + "loss": 1.0634, + "step": 1263 + }, + { + "epoch": 2.3, + "grad_norm": 0.20012651544737803, + "learning_rate": 3.1187610999165316e-05, + "loss": 1.0525, + "step": 1264 + }, + { + "epoch": 2.3, + "grad_norm": 0.2043849789970364, + "learning_rate": 3.1033952074001884e-05, + "loss": 1.0009, + "step": 1265 + }, + { + "epoch": 2.31, + "grad_norm": 0.20436413566516082, + "learning_rate": 3.088060306092582e-05, + "loss": 1.0194, + "step": 1266 + }, + { + "epoch": 2.31, + "grad_norm": 0.2471012507273153, + "learning_rate": 3.072756464904006e-05, + "loss": 1.0174, + "step": 1267 + }, + { + "epoch": 2.31, + "grad_norm": 0.19900543237914783, + "learning_rate": 3.057483752605196e-05, + "loss": 1.1252, + "step": 1268 + }, + { + "epoch": 2.31, + "grad_norm": 0.21526226315725566, + "learning_rate": 3.042242237826991e-05, + "loss": 1.0376, + "step": 1269 + }, + { + "epoch": 2.31, + "grad_norm": 0.20806176621387384, + "learning_rate": 3.0270319890600462e-05, + "loss": 1.0543, + "step": 1270 + }, + { + "epoch": 2.32, + "grad_norm": 0.2067694678280775, + "learning_rate": 3.0118530746545148e-05, + "loss": 1.0625, + "step": 1271 + }, + { + "epoch": 2.32, + "grad_norm": 0.1984329234985004, + "learning_rate": 2.9967055628197472e-05, + "loss": 1.0445, + "step": 1272 + }, + { + "epoch": 2.32, + "grad_norm": 0.2051174512399526, + "learning_rate": 2.9815895216239732e-05, + "loss": 1.0023, + "step": 1273 + }, + { + "epoch": 2.32, + "grad_norm": 0.19190337658134426, + "learning_rate": 2.9665050189940015e-05, + "loss": 1.0081, + "step": 1274 + }, + { + "epoch": 2.32, + "grad_norm": 0.19812292614431837, + "learning_rate": 2.951452122714926e-05, + "loss": 1.0347, + "step": 1275 + }, + { + "epoch": 2.32, + "grad_norm": 0.20217031978231875, + "learning_rate": 2.9364309004298053e-05, + "loss": 1.0683, + "step": 1276 + }, + { + "epoch": 2.33, + "grad_norm": 0.2002443376802822, + "learning_rate": 2.9214414196393704e-05, + "loss": 1.0534, + "step": 1277 + }, + { + "epoch": 2.33, + "grad_norm": 0.19168165480576083, + "learning_rate": 2.9064837477017048e-05, + "loss": 1.0077, + "step": 1278 + }, + { + "epoch": 2.33, + "grad_norm": 0.19459332024136894, + "learning_rate": 2.8915579518319624e-05, + "loss": 1.041, + "step": 1279 + }, + { + "epoch": 2.33, + "grad_norm": 0.20329713707478517, + "learning_rate": 2.876664099102053e-05, + "loss": 1.0385, + "step": 1280 + }, + { + "epoch": 2.33, + "grad_norm": 0.1969232285759602, + "learning_rate": 2.861802256440348e-05, + "loss": 1.018, + "step": 1281 + }, + { + "epoch": 2.34, + "grad_norm": 0.21865970166706636, + "learning_rate": 2.8469724906313678e-05, + "loss": 1.0325, + "step": 1282 + }, + { + "epoch": 2.34, + "grad_norm": 0.2045555091720532, + "learning_rate": 2.8321748683154893e-05, + "loss": 1.0077, + "step": 1283 + }, + { + "epoch": 2.34, + "grad_norm": 0.19858767150496162, + "learning_rate": 2.8174094559886534e-05, + "loss": 1.0477, + "step": 1284 + }, + { + "epoch": 2.34, + "grad_norm": 0.1979848674300343, + "learning_rate": 2.8026763200020555e-05, + "loss": 1.0647, + "step": 1285 + }, + { + "epoch": 2.34, + "grad_norm": 0.18999100747223083, + "learning_rate": 2.7879755265618555e-05, + "loss": 0.9991, + "step": 1286 + }, + { + "epoch": 2.34, + "grad_norm": 0.19318555274581345, + "learning_rate": 2.773307141728867e-05, + "loss": 1.0689, + "step": 1287 + }, + { + "epoch": 2.35, + "grad_norm": 0.2001048343990683, + "learning_rate": 2.7586712314182773e-05, + "loss": 0.9894, + "step": 1288 + }, + { + "epoch": 2.35, + "grad_norm": 0.1941010794439273, + "learning_rate": 2.7440678613993332e-05, + "loss": 1.0117, + "step": 1289 + }, + { + "epoch": 2.35, + "grad_norm": 0.20543809678008965, + "learning_rate": 2.729497097295075e-05, + "loss": 0.9712, + "step": 1290 + }, + { + "epoch": 2.35, + "grad_norm": 0.19570648696674608, + "learning_rate": 2.7149590045820028e-05, + "loss": 1.0332, + "step": 1291 + }, + { + "epoch": 2.35, + "grad_norm": 0.20214826838793598, + "learning_rate": 2.7004536485898045e-05, + "loss": 1.024, + "step": 1292 + }, + { + "epoch": 2.36, + "grad_norm": 0.2115211012217786, + "learning_rate": 2.685981094501069e-05, + "loss": 0.9931, + "step": 1293 + }, + { + "epoch": 2.36, + "grad_norm": 0.21220137438280212, + "learning_rate": 2.6715414073509748e-05, + "loss": 1.0435, + "step": 1294 + }, + { + "epoch": 2.36, + "grad_norm": 0.20609154009368855, + "learning_rate": 2.6571346520270147e-05, + "loss": 1.1253, + "step": 1295 + }, + { + "epoch": 2.36, + "grad_norm": 0.1923052032802701, + "learning_rate": 2.6427608932686843e-05, + "loss": 0.9451, + "step": 1296 + }, + { + "epoch": 2.36, + "grad_norm": 0.19730527167467898, + "learning_rate": 2.6284201956672137e-05, + "loss": 1.0458, + "step": 1297 + }, + { + "epoch": 2.36, + "grad_norm": 0.19989767746964465, + "learning_rate": 2.614112623665259e-05, + "loss": 0.9961, + "step": 1298 + }, + { + "epoch": 2.37, + "grad_norm": 0.20743521472072698, + "learning_rate": 2.599838241556626e-05, + "loss": 0.986, + "step": 1299 + }, + { + "epoch": 2.37, + "grad_norm": 0.211185028570926, + "learning_rate": 2.5855971134859736e-05, + "loss": 1.0033, + "step": 1300 + }, + { + "epoch": 2.37, + "grad_norm": 0.18980333720726505, + "learning_rate": 2.5713893034485214e-05, + "loss": 1.0542, + "step": 1301 + }, + { + "epoch": 2.37, + "grad_norm": 0.19527708839800334, + "learning_rate": 2.5572148752897795e-05, + "loss": 0.9458, + "step": 1302 + }, + { + "epoch": 2.37, + "grad_norm": 0.19737801451718315, + "learning_rate": 2.5430738927052344e-05, + "loss": 1.0229, + "step": 1303 + }, + { + "epoch": 2.38, + "grad_norm": 0.19944968925099527, + "learning_rate": 2.5289664192400997e-05, + "loss": 1.0187, + "step": 1304 + }, + { + "epoch": 2.38, + "grad_norm": 0.19850167089007587, + "learning_rate": 2.514892518288988e-05, + "loss": 1.0301, + "step": 1305 + }, + { + "epoch": 2.38, + "grad_norm": 0.20869345185658936, + "learning_rate": 2.5008522530956646e-05, + "loss": 1.0882, + "step": 1306 + }, + { + "epoch": 2.38, + "grad_norm": 0.192429822864874, + "learning_rate": 2.4868456867527313e-05, + "loss": 1.0768, + "step": 1307 + }, + { + "epoch": 2.38, + "grad_norm": 0.20041667374784053, + "learning_rate": 2.472872882201368e-05, + "loss": 0.9564, + "step": 1308 + }, + { + "epoch": 2.38, + "grad_norm": 0.19278196420916055, + "learning_rate": 2.4589339022310386e-05, + "loss": 1.0012, + "step": 1309 + }, + { + "epoch": 2.39, + "grad_norm": 0.20632547530350015, + "learning_rate": 2.445028809479203e-05, + "loss": 1.0691, + "step": 1310 + }, + { + "epoch": 2.39, + "grad_norm": 0.20026721503616646, + "learning_rate": 2.431157666431052e-05, + "loss": 1.0614, + "step": 1311 + }, + { + "epoch": 2.39, + "grad_norm": 0.19489852973676156, + "learning_rate": 2.4173205354192063e-05, + "loss": 0.9797, + "step": 1312 + }, + { + "epoch": 2.39, + "grad_norm": 0.19651304043270207, + "learning_rate": 2.403517478623456e-05, + "loss": 1.0636, + "step": 1313 + }, + { + "epoch": 2.39, + "grad_norm": 0.20753886611474595, + "learning_rate": 2.3897485580704682e-05, + "loss": 1.0488, + "step": 1314 + }, + { + "epoch": 2.4, + "grad_norm": 0.1902807052625808, + "learning_rate": 2.376013835633517e-05, + "loss": 1.0122, + "step": 1315 + }, + { + "epoch": 2.4, + "grad_norm": 0.2128547880840383, + "learning_rate": 2.3623133730321922e-05, + "loss": 1.0662, + "step": 1316 + }, + { + "epoch": 2.4, + "grad_norm": 0.19178946945027847, + "learning_rate": 2.3486472318321307e-05, + "loss": 0.999, + "step": 1317 + }, + { + "epoch": 2.4, + "grad_norm": 0.19790833247794626, + "learning_rate": 2.3350154734447537e-05, + "loss": 1.0543, + "step": 1318 + }, + { + "epoch": 2.4, + "grad_norm": 0.19615861400513737, + "learning_rate": 2.32141815912696e-05, + "loss": 1.0323, + "step": 1319 + }, + { + "epoch": 2.4, + "grad_norm": 0.19111434134530353, + "learning_rate": 2.3078553499808797e-05, + "loss": 1.0206, + "step": 1320 + }, + { + "epoch": 2.41, + "grad_norm": 0.1967812553288128, + "learning_rate": 2.2943271069535755e-05, + "loss": 1.0213, + "step": 1321 + }, + { + "epoch": 2.41, + "grad_norm": 0.19874170003799302, + "learning_rate": 2.2808334908367914e-05, + "loss": 0.9631, + "step": 1322 + }, + { + "epoch": 2.41, + "grad_norm": 0.23014562765430222, + "learning_rate": 2.267374562266662e-05, + "loss": 1.0333, + "step": 1323 + }, + { + "epoch": 2.41, + "grad_norm": 0.21310855355754507, + "learning_rate": 2.2539503817234553e-05, + "loss": 1.0808, + "step": 1324 + }, + { + "epoch": 2.41, + "grad_norm": 0.19972397701820568, + "learning_rate": 2.240561009531281e-05, + "loss": 1.0527, + "step": 1325 + }, + { + "epoch": 2.42, + "grad_norm": 0.1927849389481322, + "learning_rate": 2.227206505857834e-05, + "loss": 1.0776, + "step": 1326 + }, + { + "epoch": 2.42, + "grad_norm": 0.19740116004042996, + "learning_rate": 2.2138869307141263e-05, + "loss": 1.014, + "step": 1327 + }, + { + "epoch": 2.42, + "grad_norm": 0.20289387092281236, + "learning_rate": 2.2006023439542088e-05, + "loss": 1.0103, + "step": 1328 + }, + { + "epoch": 2.42, + "grad_norm": 0.20394382008794595, + "learning_rate": 2.1873528052749092e-05, + "loss": 0.9351, + "step": 1329 + }, + { + "epoch": 2.42, + "grad_norm": 0.20548016222534313, + "learning_rate": 2.1741383742155474e-05, + "loss": 1.0066, + "step": 1330 + }, + { + "epoch": 2.42, + "grad_norm": 0.19563695871816103, + "learning_rate": 2.1609591101576942e-05, + "loss": 1.0477, + "step": 1331 + }, + { + "epoch": 2.43, + "grad_norm": 0.21242314187055802, + "learning_rate": 2.1478150723248857e-05, + "loss": 0.9558, + "step": 1332 + }, + { + "epoch": 2.43, + "grad_norm": 0.21115961226521227, + "learning_rate": 2.1347063197823647e-05, + "loss": 1.013, + "step": 1333 + }, + { + "epoch": 2.43, + "grad_norm": 0.1994263855293853, + "learning_rate": 2.1216329114368084e-05, + "loss": 1.0287, + "step": 1334 + }, + { + "epoch": 2.43, + "grad_norm": 0.20246037782306023, + "learning_rate": 2.1085949060360654e-05, + "loss": 1.0011, + "step": 1335 + }, + { + "epoch": 2.43, + "grad_norm": 0.19513564076453144, + "learning_rate": 2.0955923621689034e-05, + "loss": 0.9725, + "step": 1336 + }, + { + "epoch": 2.44, + "grad_norm": 0.22329723996513792, + "learning_rate": 2.0826253382647333e-05, + "loss": 1.1098, + "step": 1337 + }, + { + "epoch": 2.44, + "grad_norm": 0.20377464973870935, + "learning_rate": 2.0696938925933506e-05, + "loss": 1.0675, + "step": 1338 + }, + { + "epoch": 2.44, + "grad_norm": 0.19102737130076528, + "learning_rate": 2.056798083264667e-05, + "loss": 0.9492, + "step": 1339 + }, + { + "epoch": 2.44, + "grad_norm": 0.2073014798883011, + "learning_rate": 2.043937968228469e-05, + "loss": 1.0387, + "step": 1340 + }, + { + "epoch": 2.44, + "grad_norm": 0.24290986242591792, + "learning_rate": 2.0311136052741277e-05, + "loss": 1.0558, + "step": 1341 + }, + { + "epoch": 2.44, + "grad_norm": 0.2085266713259981, + "learning_rate": 2.0183250520303652e-05, + "loss": 1.0638, + "step": 1342 + }, + { + "epoch": 2.45, + "grad_norm": 0.1955217978555781, + "learning_rate": 2.0055723659649904e-05, + "loss": 1.0096, + "step": 1343 + }, + { + "epoch": 2.45, + "grad_norm": 0.19927692668612149, + "learning_rate": 1.9928556043846214e-05, + "loss": 1.0701, + "step": 1344 + }, + { + "epoch": 2.45, + "grad_norm": 0.19744727496920214, + "learning_rate": 1.9801748244344585e-05, + "loss": 1.0438, + "step": 1345 + }, + { + "epoch": 2.45, + "grad_norm": 0.2055358202234184, + "learning_rate": 1.967530083097996e-05, + "loss": 1.0575, + "step": 1346 + }, + { + "epoch": 2.45, + "grad_norm": 0.2022241159482209, + "learning_rate": 1.9549214371968004e-05, + "loss": 1.0226, + "step": 1347 + }, + { + "epoch": 2.46, + "grad_norm": 0.19649509124937034, + "learning_rate": 1.9423489433902186e-05, + "loss": 1.0202, + "step": 1348 + }, + { + "epoch": 2.46, + "grad_norm": 0.20600851551211816, + "learning_rate": 1.929812658175154e-05, + "loss": 1.021, + "step": 1349 + }, + { + "epoch": 2.46, + "grad_norm": 0.19294116399601477, + "learning_rate": 1.9173126378857907e-05, + "loss": 1.0213, + "step": 1350 + }, + { + "epoch": 2.46, + "grad_norm": 0.1938777663276966, + "learning_rate": 1.9048489386933543e-05, + "loss": 0.9898, + "step": 1351 + }, + { + "epoch": 2.46, + "grad_norm": 0.19185115735103692, + "learning_rate": 1.892421616605857e-05, + "loss": 0.9944, + "step": 1352 + }, + { + "epoch": 2.46, + "grad_norm": 0.19670853913434655, + "learning_rate": 1.8800307274678364e-05, + "loss": 0.9919, + "step": 1353 + }, + { + "epoch": 2.47, + "grad_norm": 0.20990234935789304, + "learning_rate": 1.8676763269601194e-05, + "loss": 0.9881, + "step": 1354 + }, + { + "epoch": 2.47, + "grad_norm": 0.19572956406722788, + "learning_rate": 1.8553584705995562e-05, + "loss": 1.0294, + "step": 1355 + }, + { + "epoch": 2.47, + "grad_norm": 0.19113731201482373, + "learning_rate": 1.8430772137387853e-05, + "loss": 1.0309, + "step": 1356 + }, + { + "epoch": 2.47, + "grad_norm": 0.20326050779588162, + "learning_rate": 1.8308326115659757e-05, + "loss": 1.0583, + "step": 1357 + }, + { + "epoch": 2.47, + "grad_norm": 0.20127668715102875, + "learning_rate": 1.8186247191045856e-05, + "loss": 1.0456, + "step": 1358 + }, + { + "epoch": 2.48, + "grad_norm": 0.20570924872407959, + "learning_rate": 1.806453591213103e-05, + "loss": 1.0397, + "step": 1359 + }, + { + "epoch": 2.48, + "grad_norm": 0.19884839319020708, + "learning_rate": 1.794319282584813e-05, + "loss": 1.008, + "step": 1360 + }, + { + "epoch": 2.48, + "grad_norm": 0.22176454676380103, + "learning_rate": 1.7822218477475494e-05, + "loss": 0.9774, + "step": 1361 + }, + { + "epoch": 2.48, + "grad_norm": 0.20018826586404945, + "learning_rate": 1.7701613410634365e-05, + "loss": 1.0615, + "step": 1362 + }, + { + "epoch": 2.48, + "grad_norm": 0.20389686562227474, + "learning_rate": 1.7581378167286656e-05, + "loss": 1.043, + "step": 1363 + }, + { + "epoch": 2.48, + "grad_norm": 0.19726813509954272, + "learning_rate": 1.7461513287732313e-05, + "loss": 1.0322, + "step": 1364 + }, + { + "epoch": 2.49, + "grad_norm": 0.1951457034588497, + "learning_rate": 1.734201931060706e-05, + "loss": 1.0342, + "step": 1365 + }, + { + "epoch": 2.49, + "grad_norm": 0.2013088268621123, + "learning_rate": 1.722289677287987e-05, + "loss": 0.9935, + "step": 1366 + }, + { + "epoch": 2.49, + "grad_norm": 0.20117633179429092, + "learning_rate": 1.710414620985059e-05, + "loss": 1.0012, + "step": 1367 + }, + { + "epoch": 2.49, + "grad_norm": 0.2033234102340342, + "learning_rate": 1.6985768155147496e-05, + "loss": 0.9818, + "step": 1368 + }, + { + "epoch": 2.49, + "grad_norm": 0.20104360454517034, + "learning_rate": 1.686776314072497e-05, + "loss": 1.0999, + "step": 1369 + }, + { + "epoch": 2.5, + "grad_norm": 0.20940487689123094, + "learning_rate": 1.6750131696861015e-05, + "loss": 1.0285, + "step": 1370 + }, + { + "epoch": 2.5, + "grad_norm": 0.21680835461628276, + "learning_rate": 1.663287435215498e-05, + "loss": 0.9571, + "step": 1371 + }, + { + "epoch": 2.5, + "grad_norm": 0.19827472641956026, + "learning_rate": 1.6515991633525118e-05, + "loss": 1.0499, + "step": 1372 + }, + { + "epoch": 2.5, + "grad_norm": 0.1942134691900752, + "learning_rate": 1.6399484066206183e-05, + "loss": 1.0287, + "step": 1373 + }, + { + "epoch": 2.5, + "grad_norm": 0.1971846855407925, + "learning_rate": 1.6283352173747145e-05, + "loss": 1.0295, + "step": 1374 + }, + { + "epoch": 2.5, + "grad_norm": 0.2004843637777262, + "learning_rate": 1.6167596478008817e-05, + "loss": 0.9847, + "step": 1375 + }, + { + "epoch": 2.51, + "grad_norm": 0.19534562714480122, + "learning_rate": 1.6052217499161515e-05, + "loss": 0.9995, + "step": 1376 + }, + { + "epoch": 2.51, + "grad_norm": 0.20788157295613702, + "learning_rate": 1.5937215755682665e-05, + "loss": 1.0213, + "step": 1377 + }, + { + "epoch": 2.51, + "grad_norm": 0.19455795086744224, + "learning_rate": 1.582259176435451e-05, + "loss": 1.032, + "step": 1378 + }, + { + "epoch": 2.51, + "grad_norm": 0.20159782581581032, + "learning_rate": 1.5708346040261813e-05, + "loss": 1.0669, + "step": 1379 + }, + { + "epoch": 2.51, + "grad_norm": 0.20640526620902436, + "learning_rate": 1.5594479096789537e-05, + "loss": 0.9989, + "step": 1380 + }, + { + "epoch": 2.52, + "grad_norm": 0.19589322284099392, + "learning_rate": 1.5480991445620542e-05, + "loss": 1.0104, + "step": 1381 + }, + { + "epoch": 2.52, + "grad_norm": 0.2036185439151077, + "learning_rate": 1.5367883596733155e-05, + "loss": 1.0446, + "step": 1382 + }, + { + "epoch": 2.52, + "grad_norm": 0.18952222603214305, + "learning_rate": 1.5255156058399122e-05, + "loss": 0.9417, + "step": 1383 + }, + { + "epoch": 2.52, + "grad_norm": 0.19652022738548006, + "learning_rate": 1.5142809337181063e-05, + "loss": 1.0583, + "step": 1384 + }, + { + "epoch": 2.52, + "grad_norm": 0.20045206927797848, + "learning_rate": 1.5030843937930483e-05, + "loss": 1.0201, + "step": 1385 + }, + { + "epoch": 2.52, + "grad_norm": 0.2055930699724937, + "learning_rate": 1.4919260363785215e-05, + "loss": 1.0243, + "step": 1386 + }, + { + "epoch": 2.53, + "grad_norm": 0.2162787120662479, + "learning_rate": 1.4808059116167305e-05, + "loss": 1.0907, + "step": 1387 + }, + { + "epoch": 2.53, + "grad_norm": 0.1977866282036809, + "learning_rate": 1.4697240694780767e-05, + "loss": 0.986, + "step": 1388 + }, + { + "epoch": 2.53, + "grad_norm": 0.20811708085703706, + "learning_rate": 1.4586805597609331e-05, + "loss": 1.0941, + "step": 1389 + }, + { + "epoch": 2.53, + "grad_norm": 0.20740381984269454, + "learning_rate": 1.4476754320914188e-05, + "loss": 1.0413, + "step": 1390 + }, + { + "epoch": 2.53, + "grad_norm": 0.20638961593596633, + "learning_rate": 1.4367087359231668e-05, + "loss": 1.0453, + "step": 1391 + }, + { + "epoch": 2.54, + "grad_norm": 0.20334283004311088, + "learning_rate": 1.4257805205371234e-05, + "loss": 1.0005, + "step": 1392 + }, + { + "epoch": 2.54, + "grad_norm": 0.20299293540353064, + "learning_rate": 1.4148908350413049e-05, + "loss": 1.0365, + "step": 1393 + }, + { + "epoch": 2.54, + "grad_norm": 0.19832697349630915, + "learning_rate": 1.4040397283705897e-05, + "loss": 1.0487, + "step": 1394 + }, + { + "epoch": 2.54, + "grad_norm": 0.21129996076963695, + "learning_rate": 1.3932272492864984e-05, + "loss": 1.0439, + "step": 1395 + }, + { + "epoch": 2.54, + "grad_norm": 0.19706789983721826, + "learning_rate": 1.3824534463769633e-05, + "loss": 1.045, + "step": 1396 + }, + { + "epoch": 2.54, + "grad_norm": 0.19765871458568013, + "learning_rate": 1.3717183680561252e-05, + "loss": 0.9727, + "step": 1397 + }, + { + "epoch": 2.55, + "grad_norm": 0.20274254850720416, + "learning_rate": 1.3610220625641002e-05, + "loss": 1.003, + "step": 1398 + }, + { + "epoch": 2.55, + "grad_norm": 0.2027777493566929, + "learning_rate": 1.350364577966785e-05, + "loss": 1.0572, + "step": 1399 + }, + { + "epoch": 2.55, + "grad_norm": 0.19979864676290385, + "learning_rate": 1.339745962155613e-05, + "loss": 1.0418, + "step": 1400 + } + ], + "logging_steps": 1.0, + "max_steps": 1647, + "num_input_tokens_seen": 0, + "num_train_epochs": 3, + "save_steps": 50, + "total_flos": 1.2994679641473024e+16, + "train_batch_size": 1, + "trial_name": null, + "trial_params": null +}