{ "best_metric": null, "best_model_checkpoint": null, "epoch": 3.937313432835821, "eval_steps": 42, "global_step": 668, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.01, "learning_rate": 2e-05, "loss": 1.6541, "step": 1 }, { "epoch": 0.01, "eval_loss": 1.7634071111679077, "eval_runtime": 14.5059, "eval_samples_per_second": 56.46, "eval_steps_per_second": 28.264, "step": 1 }, { "epoch": 0.01, "learning_rate": 4e-05, "loss": 1.6887, "step": 2 }, { "epoch": 0.02, "learning_rate": 6e-05, "loss": 1.828, "step": 3 }, { "epoch": 0.02, "learning_rate": 8e-05, "loss": 1.589, "step": 4 }, { "epoch": 0.03, "learning_rate": 0.0001, "loss": 1.927, "step": 5 }, { "epoch": 0.04, "learning_rate": 0.00012, "loss": 1.6362, "step": 6 }, { "epoch": 0.04, "learning_rate": 0.00014, "loss": 1.8546, "step": 7 }, { "epoch": 0.05, "learning_rate": 0.00016, "loss": 1.5843, "step": 8 }, { "epoch": 0.05, "learning_rate": 0.00018, "loss": 1.5592, "step": 9 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 1.5539, "step": 10 }, { "epoch": 0.07, "learning_rate": 0.0001999988602302209, "loss": 1.4449, "step": 11 }, { "epoch": 0.07, "learning_rate": 0.0001999954409468652, "loss": 1.8818, "step": 12 }, { "epoch": 0.08, "learning_rate": 0.0001999897422278767, "loss": 1.6656, "step": 13 }, { "epoch": 0.08, "learning_rate": 0.00019998176420316002, "loss": 1.4607, "step": 14 }, { "epoch": 0.09, "learning_rate": 0.0001999715070545774, "loss": 1.4013, "step": 15 }, { "epoch": 0.1, "learning_rate": 0.00019995897101594454, "loss": 1.5258, "step": 16 }, { "epoch": 0.1, "learning_rate": 0.00019994415637302547, "loss": 1.404, "step": 17 }, { "epoch": 0.11, "learning_rate": 0.00019992706346352577, "loss": 1.3919, "step": 18 }, { "epoch": 0.11, "learning_rate": 0.00019990769267708516, "loss": 1.355, "step": 19 }, { "epoch": 0.12, "learning_rate": 0.00019988604445526827, "loss": 1.3763, "step": 20 }, { "epoch": 0.13, "learning_rate": 0.000199862119291555, "loss": 1.3314, "step": 21 }, { "epoch": 0.13, "learning_rate": 0.00019983591773132882, "loss": 1.4246, "step": 22 }, { "epoch": 0.14, "learning_rate": 0.00019980744037186469, "loss": 1.5723, "step": 23 }, { "epoch": 0.14, "learning_rate": 0.00019977668786231534, "loss": 1.2536, "step": 24 }, { "epoch": 0.15, "learning_rate": 0.0001997436609036963, "loss": 1.3087, "step": 25 }, { "epoch": 0.16, "learning_rate": 0.0001997083602488702, "loss": 1.2783, "step": 26 }, { "epoch": 0.16, "learning_rate": 0.00019967078670252945, "loss": 1.2792, "step": 27 }, { "epoch": 0.17, "learning_rate": 0.00019963094112117785, "loss": 1.2476, "step": 28 }, { "epoch": 0.17, "learning_rate": 0.00019958882441311126, "loss": 1.265, "step": 29 }, { "epoch": 0.18, "learning_rate": 0.00019954443753839667, "loss": 1.0884, "step": 30 }, { "epoch": 0.19, "learning_rate": 0.00019949778150885042, "loss": 1.3294, "step": 31 }, { "epoch": 0.19, "learning_rate": 0.00019944885738801518, "loss": 1.3434, "step": 32 }, { "epoch": 0.2, "learning_rate": 0.00019939766629113566, "loss": 1.1457, "step": 33 }, { "epoch": 0.2, "learning_rate": 0.00019934420938513313, "loss": 1.2138, "step": 34 }, { "epoch": 0.21, "learning_rate": 0.00019928848788857887, "loss": 1.2118, "step": 35 }, { "epoch": 0.21, "learning_rate": 0.00019923050307166655, "loss": 1.1426, "step": 36 }, { "epoch": 0.22, "learning_rate": 0.00019917025625618292, "loss": 1.6279, "step": 37 }, { "epoch": 0.23, "learning_rate": 0.000199107748815478, "loss": 1.5021, "step": 38 }, { "epoch": 0.23, "learning_rate": 0.00019904298217443366, "loss": 1.3728, "step": 39 }, { "epoch": 0.24, "learning_rate": 0.00019897595780943102, "loss": 1.2034, "step": 40 }, { "epoch": 0.24, "learning_rate": 0.00019890667724831707, "loss": 1.3718, "step": 41 }, { "epoch": 0.25, "learning_rate": 0.00019883514207036956, "loss": 1.2512, "step": 42 }, { "epoch": 0.25, "eval_loss": 0.8978323936462402, "eval_runtime": 14.6352, "eval_samples_per_second": 55.961, "eval_steps_per_second": 28.015, "step": 42 }, { "epoch": 0.26, "learning_rate": 0.00019876135390626122, "loss": 1.1787, "step": 43 }, { "epoch": 0.26, "learning_rate": 0.0001986853144380224, "loss": 1.1917, "step": 44 }, { "epoch": 0.27, "learning_rate": 0.00019860702539900287, "loss": 1.1933, "step": 45 }, { "epoch": 0.27, "learning_rate": 0.00019852648857383222, "loss": 1.1922, "step": 46 }, { "epoch": 0.28, "learning_rate": 0.00019844370579837927, "loss": 1.3017, "step": 47 }, { "epoch": 0.29, "learning_rate": 0.00019835867895971014, "loss": 1.1193, "step": 48 }, { "epoch": 0.29, "learning_rate": 0.0001982714099960452, "loss": 1.1572, "step": 49 }, { "epoch": 0.3, "learning_rate": 0.00019818190089671508, "loss": 1.3277, "step": 50 }, { "epoch": 0.3, "learning_rate": 0.00019809015370211502, "loss": 1.0658, "step": 51 }, { "epoch": 0.31, "learning_rate": 0.0001979961705036587, "loss": 1.1656, "step": 52 }, { "epoch": 0.32, "learning_rate": 0.00019789995344373024, "loss": 1.4204, "step": 53 }, { "epoch": 0.32, "learning_rate": 0.00019780150471563558, "loss": 1.1551, "step": 54 }, { "epoch": 0.33, "learning_rate": 0.0001977008265635525, "loss": 1.0993, "step": 55 }, { "epoch": 0.33, "learning_rate": 0.00019759792128247922, "loss": 1.1311, "step": 56 }, { "epoch": 0.34, "learning_rate": 0.00019749279121818235, "loss": 1.2163, "step": 57 }, { "epoch": 0.35, "learning_rate": 0.00019738543876714334, "loss": 1.3178, "step": 58 }, { "epoch": 0.35, "learning_rate": 0.00019727586637650373, "loss": 1.3744, "step": 59 }, { "epoch": 0.36, "learning_rate": 0.00019716407654400952, "loss": 1.1413, "step": 60 }, { "epoch": 0.36, "learning_rate": 0.00019705007181795416, "loss": 1.0372, "step": 61 }, { "epoch": 0.37, "learning_rate": 0.00019693385479712048, "loss": 1.1601, "step": 62 }, { "epoch": 0.38, "learning_rate": 0.00019681542813072145, "loss": 1.0976, "step": 63 }, { "epoch": 0.38, "learning_rate": 0.00019669479451833976, "loss": 1.1584, "step": 64 }, { "epoch": 0.39, "learning_rate": 0.00019657195670986637, "loss": 1.0962, "step": 65 }, { "epoch": 0.39, "learning_rate": 0.00019644691750543767, "loss": 1.1044, "step": 66 }, { "epoch": 0.4, "learning_rate": 0.0001963196797553718, "loss": 1.2431, "step": 67 }, { "epoch": 0.41, "learning_rate": 0.00019619024636010363, "loss": 1.1651, "step": 68 }, { "epoch": 0.41, "learning_rate": 0.00019605862027011856, "loss": 1.0513, "step": 69 }, { "epoch": 0.42, "learning_rate": 0.00019592480448588542, "loss": 1.0175, "step": 70 }, { "epoch": 0.42, "learning_rate": 0.00019578880205778793, "loss": 1.1306, "step": 71 }, { "epoch": 0.43, "learning_rate": 0.00019565061608605526, "loss": 1.3121, "step": 72 }, { "epoch": 0.44, "learning_rate": 0.00019551024972069126, "loss": 1.266, "step": 73 }, { "epoch": 0.44, "learning_rate": 0.00019536770616140276, "loss": 1.1099, "step": 74 }, { "epoch": 0.45, "learning_rate": 0.0001952229886575266, "loss": 1.1012, "step": 75 }, { "epoch": 0.45, "learning_rate": 0.00019507610050795558, "loss": 1.1272, "step": 76 }, { "epoch": 0.46, "learning_rate": 0.0001949270450610631, "loss": 1.2016, "step": 77 }, { "epoch": 0.47, "learning_rate": 0.00019477582571462705, "loss": 1.1746, "step": 78 }, { "epoch": 0.47, "learning_rate": 0.00019462244591575222, "loss": 1.1349, "step": 79 }, { "epoch": 0.48, "learning_rate": 0.0001944669091607919, "loss": 1.4311, "step": 80 }, { "epoch": 0.48, "learning_rate": 0.00019430921899526787, "loss": 1.1033, "step": 81 }, { "epoch": 0.49, "learning_rate": 0.00019414937901378982, "loss": 1.2491, "step": 82 }, { "epoch": 0.5, "learning_rate": 0.0001939873928599734, "loss": 1.1044, "step": 83 }, { "epoch": 0.5, "learning_rate": 0.00019382326422635705, "loss": 1.1008, "step": 84 }, { "epoch": 0.5, "eval_loss": 0.8307072520256042, "eval_runtime": 14.6668, "eval_samples_per_second": 55.841, "eval_steps_per_second": 27.954, "step": 84 }, { "epoch": 0.51, "learning_rate": 0.0001936569968543179, "loss": 1.2317, "step": 85 }, { "epoch": 0.51, "learning_rate": 0.00019348859453398646, "loss": 1.2317, "step": 86 }, { "epoch": 0.52, "learning_rate": 0.00019331806110416027, "loss": 1.0989, "step": 87 }, { "epoch": 0.53, "learning_rate": 0.00019314540045221626, "loss": 1.0466, "step": 88 }, { "epoch": 0.53, "learning_rate": 0.00019297061651402236, "loss": 1.0798, "step": 89 }, { "epoch": 0.54, "learning_rate": 0.0001927937132738476, "loss": 1.1175, "step": 90 }, { "epoch": 0.54, "learning_rate": 0.0001926146947642712, "loss": 1.1292, "step": 91 }, { "epoch": 0.55, "learning_rate": 0.000192433565066091, "loss": 1.0464, "step": 92 }, { "epoch": 0.56, "learning_rate": 0.00019225032830823011, "loss": 1.1549, "step": 93 }, { "epoch": 0.56, "learning_rate": 0.00019206498866764288, "loss": 1.1129, "step": 94 }, { "epoch": 0.57, "learning_rate": 0.00019187755036921978, "loss": 0.9965, "step": 95 }, { "epoch": 0.57, "learning_rate": 0.0001916880176856909, "loss": 1.0767, "step": 96 }, { "epoch": 0.58, "learning_rate": 0.0001914963949375288, "loss": 1.1546, "step": 97 }, { "epoch": 0.59, "learning_rate": 0.0001913026864928498, "loss": 0.9627, "step": 98 }, { "epoch": 0.59, "learning_rate": 0.00019110689676731454, "loss": 1.0039, "step": 99 }, { "epoch": 0.6, "learning_rate": 0.00019090903022402729, "loss": 1.066, "step": 100 }, { "epoch": 0.6, "learning_rate": 0.00019070909137343408, "loss": 1.0654, "step": 101 }, { "epoch": 0.61, "learning_rate": 0.00019050708477322018, "loss": 1.3323, "step": 102 }, { "epoch": 0.61, "learning_rate": 0.00019030301502820596, "loss": 1.1247, "step": 103 }, { "epoch": 0.62, "learning_rate": 0.0001900968867902419, "loss": 1.0261, "step": 104 }, { "epoch": 0.63, "learning_rate": 0.00018988870475810282, "loss": 1.0935, "step": 105 }, { "epoch": 0.63, "learning_rate": 0.00018967847367738048, "loss": 1.1043, "step": 106 }, { "epoch": 0.64, "learning_rate": 0.00018946619834037546, "loss": 1.1982, "step": 107 }, { "epoch": 0.64, "learning_rate": 0.00018925188358598813, "loss": 1.0445, "step": 108 }, { "epoch": 0.65, "learning_rate": 0.00018903553429960802, "loss": 1.086, "step": 109 }, { "epoch": 0.66, "learning_rate": 0.00018881715541300276, "loss": 1.1509, "step": 110 }, { "epoch": 0.66, "learning_rate": 0.00018859675190420537, "loss": 1.1473, "step": 111 }, { "epoch": 0.67, "learning_rate": 0.00018837432879740114, "loss": 1.1677, "step": 112 }, { "epoch": 0.67, "learning_rate": 0.0001881498911628127, "loss": 1.006, "step": 113 }, { "epoch": 0.68, "learning_rate": 0.00018792344411658468, "loss": 1.0503, "step": 114 }, { "epoch": 0.69, "learning_rate": 0.00018769499282066717, "loss": 1.163, "step": 115 }, { "epoch": 0.69, "learning_rate": 0.00018746454248269777, "loss": 1.1443, "step": 116 }, { "epoch": 0.7, "learning_rate": 0.0001872320983558831, "loss": 0.9785, "step": 117 }, { "epoch": 0.7, "learning_rate": 0.000186997665738879, "loss": 1.0605, "step": 118 }, { "epoch": 0.71, "learning_rate": 0.0001867612499756697, "loss": 1.0203, "step": 119 }, { "epoch": 0.72, "learning_rate": 0.00018652285645544603, "loss": 1.146, "step": 120 }, { "epoch": 0.72, "learning_rate": 0.00018628249061248262, "loss": 1.12, "step": 121 }, { "epoch": 0.73, "learning_rate": 0.00018604015792601396, "loss": 1.1499, "step": 122 }, { "epoch": 0.73, "learning_rate": 0.00018579586392010943, "loss": 1.1273, "step": 123 }, { "epoch": 0.74, "learning_rate": 0.0001855496141635476, "loss": 1.0404, "step": 124 }, { "epoch": 0.75, "learning_rate": 0.00018530141426968902, "loss": 1.1066, "step": 125 }, { "epoch": 0.75, "learning_rate": 0.0001850512698963485, "loss": 1.0685, "step": 126 }, { "epoch": 0.75, "eval_loss": 0.8026405572891235, "eval_runtime": 14.5968, "eval_samples_per_second": 56.108, "eval_steps_per_second": 28.088, "step": 126 }, { "epoch": 0.76, "learning_rate": 0.000184799186745666, "loss": 1.0494, "step": 127 }, { "epoch": 0.76, "learning_rate": 0.00018454517056397661, "loss": 1.1905, "step": 128 }, { "epoch": 0.77, "learning_rate": 0.0001842892271416797, "loss": 1.2034, "step": 129 }, { "epoch": 0.78, "learning_rate": 0.00018403136231310684, "loss": 1.2088, "step": 130 }, { "epoch": 0.78, "learning_rate": 0.00018377158195638876, "loss": 0.9303, "step": 131 }, { "epoch": 0.79, "learning_rate": 0.00018350989199332154, "loss": 1.1574, "step": 132 }, { "epoch": 0.79, "learning_rate": 0.00018324629838923132, "loss": 1.1673, "step": 133 }, { "epoch": 0.8, "learning_rate": 0.00018298080715283858, "loss": 1.1204, "step": 134 }, { "epoch": 0.81, "learning_rate": 0.00018271342433612113, "loss": 1.0752, "step": 135 }, { "epoch": 0.81, "learning_rate": 0.00018244415603417603, "loss": 1.0121, "step": 136 }, { "epoch": 0.82, "learning_rate": 0.00018217300838508073, "loss": 1.0975, "step": 137 }, { "epoch": 0.82, "learning_rate": 0.00018189998756975318, "loss": 0.9982, "step": 138 }, { "epoch": 0.83, "learning_rate": 0.00018162509981181084, "loss": 1.1922, "step": 139 }, { "epoch": 0.84, "learning_rate": 0.0001813483513774289, "loss": 0.9532, "step": 140 }, { "epoch": 0.84, "learning_rate": 0.00018106974857519736, "loss": 1.0813, "step": 141 }, { "epoch": 0.85, "learning_rate": 0.0001807892977559774, "loss": 0.9656, "step": 142 }, { "epoch": 0.85, "learning_rate": 0.0001805070053127563, "loss": 1.1161, "step": 143 }, { "epoch": 0.86, "learning_rate": 0.00018022287768050202, "loss": 1.0143, "step": 144 }, { "epoch": 0.87, "learning_rate": 0.0001799369213360163, "loss": 1.1242, "step": 145 }, { "epoch": 0.87, "learning_rate": 0.00017964914279778715, "loss": 1.0747, "step": 146 }, { "epoch": 0.88, "learning_rate": 0.00017935954862584018, "loss": 1.1551, "step": 147 }, { "epoch": 0.88, "learning_rate": 0.0001790681454215891, "loss": 0.9538, "step": 148 }, { "epoch": 0.89, "learning_rate": 0.00017877493982768527, "loss": 1.0621, "step": 149 }, { "epoch": 0.9, "learning_rate": 0.0001784799385278661, "loss": 1.0229, "step": 150 }, { "epoch": 0.9, "learning_rate": 0.000178183148246803, "loss": 0.9991, "step": 151 }, { "epoch": 0.91, "learning_rate": 0.00017788457574994778, "loss": 1.0045, "step": 152 }, { "epoch": 0.91, "learning_rate": 0.00017758422784337863, "loss": 1.0675, "step": 153 }, { "epoch": 0.92, "learning_rate": 0.00017728211137364489, "loss": 0.962, "step": 154 }, { "epoch": 0.93, "learning_rate": 0.000176978233227611, "loss": 1.0145, "step": 155 }, { "epoch": 0.93, "learning_rate": 0.00017667260033229953, "loss": 0.9576, "step": 156 }, { "epoch": 0.94, "learning_rate": 0.00017636521965473323, "loss": 1.0692, "step": 157 }, { "epoch": 0.94, "learning_rate": 0.00017605609820177617, "loss": 1.2074, "step": 158 }, { "epoch": 0.95, "learning_rate": 0.00017574524301997423, "loss": 1.1489, "step": 159 }, { "epoch": 0.96, "learning_rate": 0.00017543266119539422, "loss": 0.9962, "step": 160 }, { "epoch": 0.96, "learning_rate": 0.00017511835985346253, "loss": 0.8922, "step": 161 }, { "epoch": 0.97, "learning_rate": 0.00017480234615880247, "loss": 0.9248, "step": 162 }, { "epoch": 0.97, "learning_rate": 0.0001744846273150713, "loss": 1.1621, "step": 163 }, { "epoch": 0.98, "learning_rate": 0.00017416521056479577, "loss": 1.0516, "step": 164 }, { "epoch": 0.99, "learning_rate": 0.00017384410318920697, "loss": 1.0086, "step": 165 }, { "epoch": 0.99, "learning_rate": 0.00017352131250807467, "loss": 1.0909, "step": 166 }, { "epoch": 1.0, "learning_rate": 0.00017319684587954002, "loss": 1.1085, "step": 167 }, { "epoch": 1.0, "learning_rate": 0.0001728707106999482, "loss": 1.1573, "step": 168 }, { "epoch": 1.0, "eval_loss": 0.7850226163864136, "eval_runtime": 14.526, "eval_samples_per_second": 56.382, "eval_steps_per_second": 28.225, "step": 168 }, { "epoch": 1.01, "learning_rate": 0.00017254291440367968, "loss": 1.1107, "step": 169 }, { "epoch": 1.01, "learning_rate": 0.0001722134644629807, "loss": 1.1537, "step": 170 }, { "epoch": 1.0, "learning_rate": 0.00017188236838779295, "loss": 1.1293, "step": 171 }, { "epoch": 1.01, "learning_rate": 0.00017154963372558246, "loss": 1.0653, "step": 172 }, { "epoch": 1.02, "learning_rate": 0.00017121526806116748, "loss": 1.0901, "step": 173 }, { "epoch": 1.02, "learning_rate": 0.00017087927901654557, "loss": 1.1569, "step": 174 }, { "epoch": 1.03, "learning_rate": 0.00017054167425071995, "loss": 1.022, "step": 175 }, { "epoch": 1.03, "learning_rate": 0.00017020246145952477, "loss": 1.0639, "step": 176 }, { "epoch": 1.04, "learning_rate": 0.00016986164837544987, "loss": 1.071, "step": 177 }, { "epoch": 1.05, "learning_rate": 0.00016951924276746425, "loss": 0.924, "step": 178 }, { "epoch": 1.05, "learning_rate": 0.00016917525244083918, "loss": 1.0146, "step": 179 }, { "epoch": 1.06, "learning_rate": 0.00016882968523697028, "loss": 1.0599, "step": 180 }, { "epoch": 1.06, "learning_rate": 0.00016848254903319867, "loss": 1.0237, "step": 181 }, { "epoch": 1.07, "learning_rate": 0.00016813385174263137, "loss": 0.9614, "step": 182 }, { "epoch": 1.08, "learning_rate": 0.0001677836013139611, "loss": 0.9791, "step": 183 }, { "epoch": 1.08, "learning_rate": 0.00016743180573128495, "loss": 1.0945, "step": 184 }, { "epoch": 1.09, "learning_rate": 0.00016707847301392236, "loss": 1.0091, "step": 185 }, { "epoch": 1.09, "learning_rate": 0.00016672361121623238, "loss": 1.1076, "step": 186 }, { "epoch": 1.1, "learning_rate": 0.00016636722842743013, "loss": 0.9472, "step": 187 }, { "epoch": 1.11, "learning_rate": 0.0001660093327714022, "loss": 1.0485, "step": 188 }, { "epoch": 1.11, "learning_rate": 0.0001656499324065217, "loss": 1.0056, "step": 189 }, { "epoch": 1.12, "learning_rate": 0.00016528903552546207, "loss": 1.0819, "step": 190 }, { "epoch": 1.12, "learning_rate": 0.00016492665035501046, "loss": 1.1128, "step": 191 }, { "epoch": 1.13, "learning_rate": 0.00016456278515588024, "loss": 1.056, "step": 192 }, { "epoch": 1.14, "learning_rate": 0.00016419744822252253, "loss": 1.0468, "step": 193 }, { "epoch": 1.14, "learning_rate": 0.0001638306478829373, "loss": 0.9966, "step": 194 }, { "epoch": 1.15, "learning_rate": 0.0001634623924984833, "loss": 0.9898, "step": 195 }, { "epoch": 1.15, "learning_rate": 0.00016309269046368776, "loss": 1.0431, "step": 196 }, { "epoch": 1.16, "learning_rate": 0.0001627215502060548, "loss": 1.0327, "step": 197 }, { "epoch": 1.17, "learning_rate": 0.00016234898018587337, "loss": 1.0382, "step": 198 }, { "epoch": 1.17, "learning_rate": 0.00016197498889602448, "loss": 1.0287, "step": 199 }, { "epoch": 1.18, "learning_rate": 0.0001615995848617876, "loss": 1.0244, "step": 200 }, { "epoch": 1.18, "learning_rate": 0.0001612227766406461, "loss": 1.0989, "step": 201 }, { "epoch": 1.19, "learning_rate": 0.00016084457282209243, "loss": 1.1219, "step": 202 }, { "epoch": 1.2, "learning_rate": 0.00016046498202743233, "loss": 0.9456, "step": 203 }, { "epoch": 1.2, "learning_rate": 0.00016008401290958807, "loss": 1.0259, "step": 204 }, { "epoch": 1.21, "learning_rate": 0.0001597016741529014, "loss": 1.0929, "step": 205 }, { "epoch": 1.21, "learning_rate": 0.00015931797447293552, "loss": 1.0716, "step": 206 }, { "epoch": 1.22, "learning_rate": 0.00015893292261627643, "loss": 0.9947, "step": 207 }, { "epoch": 1.23, "learning_rate": 0.00015854652736033354, "loss": 0.9707, "step": 208 }, { "epoch": 1.23, "learning_rate": 0.00015815879751313955, "loss": 0.9492, "step": 209 }, { "epoch": 1.24, "learning_rate": 0.0001577697419131497, "loss": 0.9346, "step": 210 }, { "epoch": 1.24, "eval_loss": 0.7729161381721497, "eval_runtime": 14.4823, "eval_samples_per_second": 56.552, "eval_steps_per_second": 28.31, "step": 210 }, { "epoch": 1.24, "learning_rate": 0.00015737936942904023, "loss": 0.9925, "step": 211 }, { "epoch": 1.25, "learning_rate": 0.00015698768895950642, "loss": 1.032, "step": 212 }, { "epoch": 1.26, "learning_rate": 0.00015659470943305955, "loss": 1.0372, "step": 213 }, { "epoch": 1.26, "learning_rate": 0.00015620043980782327, "loss": 0.9926, "step": 214 }, { "epoch": 1.27, "learning_rate": 0.00015580488907132974, "loss": 0.9653, "step": 215 }, { "epoch": 1.27, "learning_rate": 0.00015540806624031442, "loss": 1.1205, "step": 216 }, { "epoch": 1.28, "learning_rate": 0.00015500998036051074, "loss": 1.0311, "step": 217 }, { "epoch": 1.29, "learning_rate": 0.0001546106405064438, "loss": 0.9639, "step": 218 }, { "epoch": 1.29, "learning_rate": 0.00015421005578122356, "loss": 1.0489, "step": 219 }, { "epoch": 1.3, "learning_rate": 0.00015380823531633729, "loss": 1.0312, "step": 220 }, { "epoch": 1.3, "learning_rate": 0.00015340518827144145, "loss": 1.0165, "step": 221 }, { "epoch": 1.31, "learning_rate": 0.00015300092383415282, "loss": 1.009, "step": 222 }, { "epoch": 1.31, "learning_rate": 0.0001525954512198392, "loss": 1.0458, "step": 223 }, { "epoch": 1.32, "learning_rate": 0.0001521887796714092, "loss": 1.0606, "step": 224 }, { "epoch": 1.33, "learning_rate": 0.0001517809184591017, "loss": 0.9358, "step": 225 }, { "epoch": 1.33, "learning_rate": 0.00015137187688027436, "loss": 1.0373, "step": 226 }, { "epoch": 1.34, "learning_rate": 0.00015096166425919175, "loss": 1.1689, "step": 227 }, { "epoch": 1.34, "learning_rate": 0.00015055028994681284, "loss": 1.1171, "step": 228 }, { "epoch": 1.35, "learning_rate": 0.00015013776332057786, "loss": 0.9495, "step": 229 }, { "epoch": 1.36, "learning_rate": 0.0001497240937841944, "loss": 1.0251, "step": 230 }, { "epoch": 1.36, "learning_rate": 0.00014930929076742316, "loss": 1.132, "step": 231 }, { "epoch": 1.37, "learning_rate": 0.00014889336372586305, "loss": 1.0223, "step": 232 }, { "epoch": 1.37, "learning_rate": 0.00014847632214073548, "loss": 0.9179, "step": 233 }, { "epoch": 1.38, "learning_rate": 0.00014805817551866838, "loss": 0.915, "step": 234 }, { "epoch": 1.39, "learning_rate": 0.0001476389333914794, "loss": 1.0096, "step": 235 }, { "epoch": 1.39, "learning_rate": 0.0001472186053159587, "loss": 1.0108, "step": 236 }, { "epoch": 1.4, "learning_rate": 0.00014679720087365096, "loss": 0.9954, "step": 237 }, { "epoch": 1.4, "learning_rate": 0.0001463747296706372, "loss": 1.0534, "step": 238 }, { "epoch": 1.41, "learning_rate": 0.00014595120133731565, "loss": 0.9521, "step": 239 }, { "epoch": 1.42, "learning_rate": 0.0001455266255281821, "loss": 1.086, "step": 240 }, { "epoch": 1.42, "learning_rate": 0.00014510101192161018, "loss": 0.986, "step": 241 }, { "epoch": 1.43, "learning_rate": 0.0001446743702196304, "loss": 1.1084, "step": 242 }, { "epoch": 1.43, "learning_rate": 0.00014424671014770906, "loss": 0.9904, "step": 243 }, { "epoch": 1.44, "learning_rate": 0.0001438180414545267, "loss": 1.019, "step": 244 }, { "epoch": 1.45, "learning_rate": 0.00014338837391175582, "loss": 1.1684, "step": 245 }, { "epoch": 1.45, "learning_rate": 0.00014295771731383797, "loss": 0.9792, "step": 246 }, { "epoch": 1.46, "learning_rate": 0.00014252608147776065, "loss": 1.0375, "step": 247 }, { "epoch": 1.46, "learning_rate": 0.0001420934762428335, "loss": 0.9413, "step": 248 }, { "epoch": 1.47, "learning_rate": 0.00014165991147046403, "loss": 1.0807, "step": 249 }, { "epoch": 1.48, "learning_rate": 0.00014122539704393265, "loss": 0.8643, "step": 250 }, { "epoch": 1.48, "learning_rate": 0.00014078994286816768, "loss": 0.9569, "step": 251 }, { "epoch": 1.49, "learning_rate": 0.00014035355886951923, "loss": 1.0299, "step": 252 }, { "epoch": 1.49, "eval_loss": 0.761233925819397, "eval_runtime": 14.3861, "eval_samples_per_second": 56.93, "eval_steps_per_second": 28.5, "step": 252 }, { "epoch": 1.49, "learning_rate": 0.00013991625499553325, "loss": 0.9685, "step": 253 }, { "epoch": 1.5, "learning_rate": 0.0001394780412147245, "loss": 1.0123, "step": 254 }, { "epoch": 1.51, "learning_rate": 0.00013903892751634947, "loss": 0.9601, "step": 255 }, { "epoch": 1.51, "learning_rate": 0.00013859892391017865, "loss": 0.9661, "step": 256 }, { "epoch": 1.52, "learning_rate": 0.00013815804042626828, "loss": 1.0132, "step": 257 }, { "epoch": 1.52, "learning_rate": 0.00013771628711473172, "loss": 1.0511, "step": 258 }, { "epoch": 1.53, "learning_rate": 0.00013727367404551055, "loss": 1.0637, "step": 259 }, { "epoch": 1.54, "learning_rate": 0.0001368302113081447, "loss": 0.9781, "step": 260 }, { "epoch": 1.54, "learning_rate": 0.00013638590901154276, "loss": 1.0151, "step": 261 }, { "epoch": 1.55, "learning_rate": 0.00013594077728375128, "loss": 0.9971, "step": 262 }, { "epoch": 1.55, "learning_rate": 0.0001354948262717241, "loss": 0.9202, "step": 263 }, { "epoch": 1.56, "learning_rate": 0.00013504806614109098, "loss": 1.0605, "step": 264 }, { "epoch": 1.57, "learning_rate": 0.0001346005070759258, "loss": 1.0303, "step": 265 }, { "epoch": 1.57, "learning_rate": 0.0001341521592785145, "loss": 0.9228, "step": 266 }, { "epoch": 1.58, "learning_rate": 0.00013370303296912249, "loss": 0.9659, "step": 267 }, { "epoch": 1.58, "learning_rate": 0.0001332531383857616, "loss": 0.9742, "step": 268 }, { "epoch": 1.59, "learning_rate": 0.0001328024857839569, "loss": 1.0524, "step": 269 }, { "epoch": 1.6, "learning_rate": 0.00013235108543651272, "loss": 1.0277, "step": 270 }, { "epoch": 1.6, "learning_rate": 0.0001318989476332785, "loss": 0.9731, "step": 271 }, { "epoch": 1.61, "learning_rate": 0.00013144608268091435, "loss": 1.0629, "step": 272 }, { "epoch": 1.61, "learning_rate": 0.000130992500902656, "loss": 0.8943, "step": 273 }, { "epoch": 1.62, "learning_rate": 0.00013053821263807946, "loss": 0.9997, "step": 274 }, { "epoch": 1.63, "learning_rate": 0.00013008322824286555, "loss": 1.0465, "step": 275 }, { "epoch": 1.63, "learning_rate": 0.00012962755808856342, "loss": 1.0259, "step": 276 }, { "epoch": 1.64, "learning_rate": 0.00012917121256235455, "loss": 0.9458, "step": 277 }, { "epoch": 1.64, "learning_rate": 0.00012871420206681571, "loss": 1.0322, "step": 278 }, { "epoch": 1.65, "learning_rate": 0.000128256537019682, "loss": 0.8538, "step": 279 }, { "epoch": 1.66, "learning_rate": 0.00012779822785360912, "loss": 0.9602, "step": 280 }, { "epoch": 1.66, "learning_rate": 0.00012733928501593587, "loss": 0.9953, "step": 281 }, { "epoch": 1.67, "learning_rate": 0.00012687971896844575, "loss": 0.8757, "step": 282 }, { "epoch": 1.67, "learning_rate": 0.00012641954018712863, "loss": 0.9382, "step": 283 }, { "epoch": 1.68, "learning_rate": 0.00012595875916194188, "loss": 0.8791, "step": 284 }, { "epoch": 1.69, "learning_rate": 0.00012549738639657115, "loss": 0.9245, "step": 285 }, { "epoch": 1.69, "learning_rate": 0.00012503543240819127, "loss": 0.9611, "step": 286 }, { "epoch": 1.7, "learning_rate": 0.00012457290772722608, "loss": 1.0328, "step": 287 }, { "epoch": 1.7, "learning_rate": 0.00012410982289710865, "loss": 0.8988, "step": 288 }, { "epoch": 1.71, "learning_rate": 0.0001236461884740409, "loss": 1.0435, "step": 289 }, { "epoch": 1.71, "learning_rate": 0.00012318201502675285, "loss": 0.9486, "step": 290 }, { "epoch": 1.72, "learning_rate": 0.0001227173131362619, "loss": 0.8819, "step": 291 }, { "epoch": 1.73, "learning_rate": 0.00012225209339563145, "loss": 1.024, "step": 292 }, { "epoch": 1.73, "learning_rate": 0.00012178636640972953, "loss": 0.9137, "step": 293 }, { "epoch": 1.74, "learning_rate": 0.00012132014279498703, "loss": 1.0057, "step": 294 }, { "epoch": 1.74, "eval_loss": 0.754410445690155, "eval_runtime": 14.5906, "eval_samples_per_second": 56.132, "eval_steps_per_second": 28.1, "step": 294 }, { "epoch": 1.74, "learning_rate": 0.00012085343317915565, "loss": 1.0209, "step": 295 }, { "epoch": 1.75, "learning_rate": 0.00012038624820106572, "loss": 0.9985, "step": 296 }, { "epoch": 1.76, "learning_rate": 0.0001199185985103836, "loss": 0.7608, "step": 297 }, { "epoch": 1.76, "learning_rate": 0.00011945049476736905, "loss": 0.931, "step": 298 }, { "epoch": 1.77, "learning_rate": 0.00011898194764263197, "loss": 1.0362, "step": 299 }, { "epoch": 1.77, "learning_rate": 0.00011851296781688952, "loss": 1.097, "step": 300 }, { "epoch": 1.78, "learning_rate": 0.00011804356598072223, "loss": 0.9304, "step": 301 }, { "epoch": 1.79, "learning_rate": 0.00011757375283433076, "loss": 0.9989, "step": 302 }, { "epoch": 1.79, "learning_rate": 0.00011710353908729156, "loss": 0.971, "step": 303 }, { "epoch": 1.8, "learning_rate": 0.00011663293545831302, "loss": 0.9942, "step": 304 }, { "epoch": 1.8, "learning_rate": 0.00011616195267499102, "loss": 0.9824, "step": 305 }, { "epoch": 1.81, "learning_rate": 0.00011569060147356441, "loss": 0.9901, "step": 306 }, { "epoch": 1.82, "learning_rate": 0.00011521889259867032, "loss": 1.0445, "step": 307 }, { "epoch": 1.82, "learning_rate": 0.00011474683680309912, "loss": 0.9421, "step": 308 }, { "epoch": 1.83, "learning_rate": 0.0001142744448475494, "loss": 0.9692, "step": 309 }, { "epoch": 1.83, "learning_rate": 0.00011380172750038269, "loss": 0.9473, "step": 310 }, { "epoch": 1.84, "learning_rate": 0.0001133286955373779, "loss": 1.0931, "step": 311 }, { "epoch": 1.85, "learning_rate": 0.00011285535974148576, "loss": 1.0236, "step": 312 }, { "epoch": 1.85, "learning_rate": 0.00011238173090258293, "loss": 0.9002, "step": 313 }, { "epoch": 1.86, "learning_rate": 0.00011190781981722623, "loss": 0.9209, "step": 314 }, { "epoch": 1.86, "learning_rate": 0.00011143363728840625, "loss": 0.9155, "step": 315 }, { "epoch": 1.87, "learning_rate": 0.00011095919412530136, "loss": 1.0064, "step": 316 }, { "epoch": 1.88, "learning_rate": 0.0001104845011430311, "loss": 0.947, "step": 317 }, { "epoch": 1.88, "learning_rate": 0.00011000956916240985, "loss": 0.9293, "step": 318 }, { "epoch": 1.89, "learning_rate": 0.00010953440900969994, "loss": 0.9596, "step": 319 }, { "epoch": 1.89, "learning_rate": 0.00010905903151636501, "loss": 0.9835, "step": 320 }, { "epoch": 1.9, "learning_rate": 0.00010858344751882304, "loss": 0.9722, "step": 321 }, { "epoch": 1.91, "learning_rate": 0.00010810766785819946, "loss": 0.8318, "step": 322 }, { "epoch": 1.91, "learning_rate": 0.00010763170338007978, "loss": 1.0073, "step": 323 }, { "epoch": 1.92, "learning_rate": 0.00010715556493426262, "loss": 0.9922, "step": 324 }, { "epoch": 1.92, "learning_rate": 0.00010667926337451217, "loss": 0.9459, "step": 325 }, { "epoch": 1.93, "learning_rate": 0.00010620280955831087, "loss": 0.9276, "step": 326 }, { "epoch": 1.94, "learning_rate": 0.000105726214346612, "loss": 1.027, "step": 327 }, { "epoch": 1.94, "learning_rate": 0.00010524948860359193, "loss": 0.8963, "step": 328 }, { "epoch": 1.95, "learning_rate": 0.00010477264319640252, "loss": 1.0102, "step": 329 }, { "epoch": 1.95, "learning_rate": 0.00010429568899492348, "loss": 0.9058, "step": 330 }, { "epoch": 1.96, "learning_rate": 0.0001038186368715145, "loss": 1.137, "step": 331 }, { "epoch": 1.97, "learning_rate": 0.00010334149770076747, "loss": 0.9578, "step": 332 }, { "epoch": 1.97, "learning_rate": 0.00010286428235925849, "loss": 0.9282, "step": 333 }, { "epoch": 1.98, "learning_rate": 0.00010238700172530009, "loss": 0.9325, "step": 334 }, { "epoch": 1.98, "learning_rate": 0.0001019096666786931, "loss": 0.9145, "step": 335 }, { "epoch": 1.99, "learning_rate": 0.00010143228810047875, "loss": 0.976, "step": 336 }, { "epoch": 1.99, "eval_loss": 0.7478241920471191, "eval_runtime": 14.477, "eval_samples_per_second": 56.573, "eval_steps_per_second": 28.321, "step": 336 }, { "epoch": 2.0, "learning_rate": 0.00010095487687269054, "loss": 1.005, "step": 337 }, { "epoch": 2.0, "learning_rate": 0.00010047744387810632, "loss": 0.9885, "step": 338 }, { "epoch": 2.01, "learning_rate": 0.0001, "loss": 1.0033, "step": 339 }, { "epoch": 2.01, "learning_rate": 9.952255612189368e-05, "loss": 0.867, "step": 340 }, { "epoch": 2.0, "learning_rate": 9.904512312730948e-05, "loss": 1.0728, "step": 341 }, { "epoch": 2.01, "learning_rate": 9.856771189952126e-05, "loss": 0.9978, "step": 342 }, { "epoch": 2.01, "learning_rate": 9.809033332130693e-05, "loss": 0.8017, "step": 343 }, { "epoch": 2.02, "learning_rate": 9.761299827469992e-05, "loss": 0.8687, "step": 344 }, { "epoch": 2.03, "learning_rate": 9.713571764074152e-05, "loss": 1.1273, "step": 345 }, { "epoch": 2.03, "learning_rate": 9.665850229923258e-05, "loss": 0.9474, "step": 346 }, { "epoch": 2.04, "learning_rate": 9.618136312848551e-05, "loss": 0.9905, "step": 347 }, { "epoch": 2.04, "learning_rate": 9.570431100507651e-05, "loss": 0.9277, "step": 348 }, { "epoch": 2.05, "learning_rate": 9.52273568035975e-05, "loss": 0.8655, "step": 349 }, { "epoch": 2.06, "learning_rate": 9.475051139640809e-05, "loss": 0.9271, "step": 350 }, { "epoch": 2.06, "learning_rate": 9.4273785653388e-05, "loss": 1.0323, "step": 351 }, { "epoch": 2.07, "learning_rate": 9.379719044168915e-05, "loss": 0.9624, "step": 352 }, { "epoch": 2.07, "learning_rate": 9.332073662548784e-05, "loss": 0.8565, "step": 353 }, { "epoch": 2.08, "learning_rate": 9.28444350657374e-05, "loss": 0.99, "step": 354 }, { "epoch": 2.09, "learning_rate": 9.236829661992023e-05, "loss": 1.0581, "step": 355 }, { "epoch": 2.09, "learning_rate": 9.189233214180056e-05, "loss": 0.8963, "step": 356 }, { "epoch": 2.1, "learning_rate": 9.141655248117698e-05, "loss": 0.9169, "step": 357 }, { "epoch": 2.1, "learning_rate": 9.094096848363502e-05, "loss": 1.0023, "step": 358 }, { "epoch": 2.11, "learning_rate": 9.046559099030012e-05, "loss": 0.8931, "step": 359 }, { "epoch": 2.12, "learning_rate": 8.999043083759017e-05, "loss": 1.0086, "step": 360 }, { "epoch": 2.12, "learning_rate": 8.951549885696889e-05, "loss": 0.9737, "step": 361 }, { "epoch": 2.13, "learning_rate": 8.904080587469868e-05, "loss": 1.006, "step": 362 }, { "epoch": 2.13, "learning_rate": 8.856636271159377e-05, "loss": 0.8521, "step": 363 }, { "epoch": 2.14, "learning_rate": 8.809218018277378e-05, "loss": 0.8799, "step": 364 }, { "epoch": 2.15, "learning_rate": 8.761826909741709e-05, "loss": 0.86, "step": 365 }, { "epoch": 2.15, "learning_rate": 8.714464025851427e-05, "loss": 0.9277, "step": 366 }, { "epoch": 2.16, "learning_rate": 8.667130446262214e-05, "loss": 0.9753, "step": 367 }, { "epoch": 2.16, "learning_rate": 8.619827249961733e-05, "loss": 0.9232, "step": 368 }, { "epoch": 2.17, "learning_rate": 8.57255551524506e-05, "loss": 1.0167, "step": 369 }, { "epoch": 2.18, "learning_rate": 8.525316319690092e-05, "loss": 1.1038, "step": 370 }, { "epoch": 2.18, "learning_rate": 8.47811074013297e-05, "loss": 0.9303, "step": 371 }, { "epoch": 2.19, "learning_rate": 8.430939852643558e-05, "loss": 0.9683, "step": 372 }, { "epoch": 2.19, "learning_rate": 8.383804732500902e-05, "loss": 0.9889, "step": 373 }, { "epoch": 2.2, "learning_rate": 8.336706454168701e-05, "loss": 0.7554, "step": 374 }, { "epoch": 2.21, "learning_rate": 8.289646091270849e-05, "loss": 0.9968, "step": 375 }, { "epoch": 2.21, "learning_rate": 8.242624716566927e-05, "loss": 1.0212, "step": 376 }, { "epoch": 2.22, "learning_rate": 8.195643401927777e-05, "loss": 0.9033, "step": 377 }, { "epoch": 2.22, "learning_rate": 8.148703218311053e-05, "loss": 1.0765, "step": 378 }, { "epoch": 2.22, "eval_loss": 0.7438732981681824, "eval_runtime": 14.4192, "eval_samples_per_second": 56.799, "eval_steps_per_second": 28.434, "step": 378 }, { "epoch": 2.23, "learning_rate": 8.101805235736804e-05, "loss": 0.9057, "step": 379 }, { "epoch": 2.24, "learning_rate": 8.054950523263096e-05, "loss": 0.9076, "step": 380 }, { "epoch": 2.24, "learning_rate": 8.008140148961641e-05, "loss": 0.9456, "step": 381 }, { "epoch": 2.25, "learning_rate": 7.96137517989343e-05, "loss": 1.0068, "step": 382 }, { "epoch": 2.25, "learning_rate": 7.914656682084437e-05, "loss": 1.015, "step": 383 }, { "epoch": 2.26, "learning_rate": 7.867985720501301e-05, "loss": 0.9624, "step": 384 }, { "epoch": 2.27, "learning_rate": 7.821363359027048e-05, "loss": 0.9623, "step": 385 }, { "epoch": 2.27, "learning_rate": 7.774790660436858e-05, "loss": 0.9155, "step": 386 }, { "epoch": 2.28, "learning_rate": 7.728268686373814e-05, "loss": 1.0116, "step": 387 }, { "epoch": 2.28, "learning_rate": 7.681798497324716e-05, "loss": 0.9035, "step": 388 }, { "epoch": 2.29, "learning_rate": 7.635381152595915e-05, "loss": 0.9018, "step": 389 }, { "epoch": 2.3, "learning_rate": 7.589017710289139e-05, "loss": 1.0231, "step": 390 }, { "epoch": 2.3, "learning_rate": 7.542709227277396e-05, "loss": 0.9325, "step": 391 }, { "epoch": 2.31, "learning_rate": 7.496456759180875e-05, "loss": 1.0224, "step": 392 }, { "epoch": 2.31, "learning_rate": 7.450261360342888e-05, "loss": 0.9142, "step": 393 }, { "epoch": 2.32, "learning_rate": 7.404124083805819e-05, "loss": 0.9583, "step": 394 }, { "epoch": 2.33, "learning_rate": 7.358045981287141e-05, "loss": 1.007, "step": 395 }, { "epoch": 2.33, "learning_rate": 7.312028103155426e-05, "loss": 0.8724, "step": 396 }, { "epoch": 2.34, "learning_rate": 7.266071498406417e-05, "loss": 0.8942, "step": 397 }, { "epoch": 2.34, "learning_rate": 7.220177214639088e-05, "loss": 0.9398, "step": 398 }, { "epoch": 2.35, "learning_rate": 7.174346298031804e-05, "loss": 0.8393, "step": 399 }, { "epoch": 2.36, "learning_rate": 7.128579793318428e-05, "loss": 0.9286, "step": 400 }, { "epoch": 2.36, "learning_rate": 7.082878743764545e-05, "loss": 0.924, "step": 401 }, { "epoch": 2.37, "learning_rate": 7.037244191143661e-05, "loss": 0.96, "step": 402 }, { "epoch": 2.37, "learning_rate": 6.991677175713449e-05, "loss": 0.9981, "step": 403 }, { "epoch": 2.38, "learning_rate": 6.946178736192053e-05, "loss": 1.0843, "step": 404 }, { "epoch": 2.39, "learning_rate": 6.900749909734406e-05, "loss": 0.9198, "step": 405 }, { "epoch": 2.39, "learning_rate": 6.855391731908567e-05, "loss": 0.9537, "step": 406 }, { "epoch": 2.4, "learning_rate": 6.810105236672155e-05, "loss": 0.9219, "step": 407 }, { "epoch": 2.4, "learning_rate": 6.764891456348729e-05, "loss": 0.963, "step": 408 }, { "epoch": 2.41, "learning_rate": 6.719751421604309e-05, "loss": 1.0003, "step": 409 }, { "epoch": 2.41, "learning_rate": 6.674686161423843e-05, "loss": 1.0074, "step": 410 }, { "epoch": 2.42, "learning_rate": 6.629696703087754e-05, "loss": 1.0361, "step": 411 }, { "epoch": 2.43, "learning_rate": 6.584784072148555e-05, "loss": 0.9224, "step": 412 }, { "epoch": 2.43, "learning_rate": 6.539949292407421e-05, "loss": 0.9658, "step": 413 }, { "epoch": 2.44, "learning_rate": 6.495193385890901e-05, "loss": 1.0963, "step": 414 }, { "epoch": 2.44, "learning_rate": 6.450517372827591e-05, "loss": 1.0044, "step": 415 }, { "epoch": 2.45, "learning_rate": 6.405922271624874e-05, "loss": 0.998, "step": 416 }, { "epoch": 2.46, "learning_rate": 6.361409098845725e-05, "loss": 0.8947, "step": 417 }, { "epoch": 2.46, "learning_rate": 6.316978869185532e-05, "loss": 1.057, "step": 418 }, { "epoch": 2.47, "learning_rate": 6.272632595448947e-05, "loss": 1.0015, "step": 419 }, { "epoch": 2.47, "learning_rate": 6.22837128852683e-05, "loss": 0.8845, "step": 420 }, { "epoch": 2.47, "eval_loss": 0.7409489750862122, "eval_runtime": 14.4788, "eval_samples_per_second": 56.566, "eval_steps_per_second": 28.317, "step": 420 }, { "epoch": 2.48, "learning_rate": 6.184195957373176e-05, "loss": 0.8122, "step": 421 }, { "epoch": 2.49, "learning_rate": 6.140107608982136e-05, "loss": 0.984, "step": 422 }, { "epoch": 2.49, "learning_rate": 6.0961072483650526e-05, "loss": 1.065, "step": 423 }, { "epoch": 2.5, "learning_rate": 6.05219587852755e-05, "loss": 0.9648, "step": 424 }, { "epoch": 2.5, "learning_rate": 6.008374500446676e-05, "loss": 0.9267, "step": 425 }, { "epoch": 2.51, "learning_rate": 5.964644113048079e-05, "loss": 0.9327, "step": 426 }, { "epoch": 2.52, "learning_rate": 5.921005713183235e-05, "loss": 0.9545, "step": 427 }, { "epoch": 2.52, "learning_rate": 5.877460295606738e-05, "loss": 0.8972, "step": 428 }, { "epoch": 2.53, "learning_rate": 5.834008852953603e-05, "loss": 0.9857, "step": 429 }, { "epoch": 2.53, "learning_rate": 5.790652375716652e-05, "loss": 0.9189, "step": 430 }, { "epoch": 2.54, "learning_rate": 5.74739185222394e-05, "loss": 0.8486, "step": 431 }, { "epoch": 2.55, "learning_rate": 5.704228268616208e-05, "loss": 0.9442, "step": 432 }, { "epoch": 2.55, "learning_rate": 5.6611626088244194e-05, "loss": 0.9095, "step": 433 }, { "epoch": 2.56, "learning_rate": 5.6181958545473325e-05, "loss": 1.0581, "step": 434 }, { "epoch": 2.56, "learning_rate": 5.575328985229098e-05, "loss": 0.8151, "step": 435 }, { "epoch": 2.57, "learning_rate": 5.5325629780369635e-05, "loss": 0.8941, "step": 436 }, { "epoch": 2.58, "learning_rate": 5.48989880783898e-05, "loss": 0.9767, "step": 437 }, { "epoch": 2.58, "learning_rate": 5.4473374471817906e-05, "loss": 0.8874, "step": 438 }, { "epoch": 2.59, "learning_rate": 5.4048798662684376e-05, "loss": 0.8578, "step": 439 }, { "epoch": 2.59, "learning_rate": 5.362527032936277e-05, "loss": 0.9191, "step": 440 }, { "epoch": 2.6, "learning_rate": 5.320279912634907e-05, "loss": 0.7622, "step": 441 }, { "epoch": 2.61, "learning_rate": 5.278139468404133e-05, "loss": 0.9143, "step": 442 }, { "epoch": 2.61, "learning_rate": 5.236106660852058e-05, "loss": 0.9184, "step": 443 }, { "epoch": 2.62, "learning_rate": 5.1941824481331626e-05, "loss": 0.9776, "step": 444 }, { "epoch": 2.62, "learning_rate": 5.1523677859264516e-05, "loss": 0.9989, "step": 445 }, { "epoch": 2.63, "learning_rate": 5.110663627413694e-05, "loss": 0.8539, "step": 446 }, { "epoch": 2.64, "learning_rate": 5.069070923257685e-05, "loss": 1.0078, "step": 447 }, { "epoch": 2.64, "learning_rate": 5.0275906215805625e-05, "loss": 0.9395, "step": 448 }, { "epoch": 2.65, "learning_rate": 4.986223667942214e-05, "loss": 0.7978, "step": 449 }, { "epoch": 2.65, "learning_rate": 4.944971005318716e-05, "loss": 0.9456, "step": 450 }, { "epoch": 2.66, "learning_rate": 4.903833574080825e-05, "loss": 0.991, "step": 451 }, { "epoch": 2.67, "learning_rate": 4.862812311972567e-05, "loss": 0.8867, "step": 452 }, { "epoch": 2.67, "learning_rate": 4.8219081540898295e-05, "loss": 0.9519, "step": 453 }, { "epoch": 2.68, "learning_rate": 4.781122032859079e-05, "loss": 0.8153, "step": 454 }, { "epoch": 2.68, "learning_rate": 4.740454878016084e-05, "loss": 0.8457, "step": 455 }, { "epoch": 2.69, "learning_rate": 4.699907616584721e-05, "loss": 0.9878, "step": 456 }, { "epoch": 2.7, "learning_rate": 4.6594811728558584e-05, "loss": 0.9616, "step": 457 }, { "epoch": 2.7, "learning_rate": 4.6191764683662744e-05, "loss": 0.8892, "step": 458 }, { "epoch": 2.71, "learning_rate": 4.578994421877645e-05, "loss": 0.8593, "step": 459 }, { "epoch": 2.71, "learning_rate": 4.538935949355623e-05, "loss": 0.8618, "step": 460 }, { "epoch": 2.72, "learning_rate": 4.499001963948929e-05, "loss": 1.0498, "step": 461 }, { "epoch": 2.73, "learning_rate": 4.45919337596856e-05, "loss": 1.0198, "step": 462 }, { "epoch": 2.73, "eval_loss": 0.7379047870635986, "eval_runtime": 14.5017, "eval_samples_per_second": 56.476, "eval_steps_per_second": 28.273, "step": 462 }, { "epoch": 2.73, "learning_rate": 4.41951109286703e-05, "loss": 0.8737, "step": 463 }, { "epoch": 2.74, "learning_rate": 4.379956019217675e-05, "loss": 0.8282, "step": 464 }, { "epoch": 2.74, "learning_rate": 4.340529056694047e-05, "loss": 0.8425, "step": 465 }, { "epoch": 2.75, "learning_rate": 4.3012311040493594e-05, "loss": 0.8594, "step": 466 }, { "epoch": 2.76, "learning_rate": 4.2620630570959775e-05, "loss": 1.0157, "step": 467 }, { "epoch": 2.76, "learning_rate": 4.2230258086850374e-05, "loss": 1.0247, "step": 468 }, { "epoch": 2.77, "learning_rate": 4.184120248686048e-05, "loss": 0.956, "step": 469 }, { "epoch": 2.77, "learning_rate": 4.1453472639666457e-05, "loss": 0.9221, "step": 470 }, { "epoch": 2.78, "learning_rate": 4.106707738372357e-05, "loss": 0.8249, "step": 471 }, { "epoch": 2.79, "learning_rate": 4.0682025527064486e-05, "loss": 0.9179, "step": 472 }, { "epoch": 2.79, "learning_rate": 4.029832584709864e-05, "loss": 1.0457, "step": 473 }, { "epoch": 2.8, "learning_rate": 3.991598709041196e-05, "loss": 0.8553, "step": 474 }, { "epoch": 2.8, "learning_rate": 3.9535017972567675e-05, "loss": 0.8563, "step": 475 }, { "epoch": 2.81, "learning_rate": 3.915542717790759e-05, "loss": 0.9828, "step": 476 }, { "epoch": 2.81, "learning_rate": 3.877722335935394e-05, "loss": 0.9853, "step": 477 }, { "epoch": 2.82, "learning_rate": 3.840041513821243e-05, "loss": 0.9801, "step": 478 }, { "epoch": 2.83, "learning_rate": 3.802501110397553e-05, "loss": 0.8679, "step": 479 }, { "epoch": 2.83, "learning_rate": 3.7651019814126654e-05, "loss": 0.8846, "step": 480 }, { "epoch": 2.84, "learning_rate": 3.727844979394526e-05, "loss": 0.8068, "step": 481 }, { "epoch": 2.84, "learning_rate": 3.6907309536312276e-05, "loss": 0.8033, "step": 482 }, { "epoch": 2.85, "learning_rate": 3.6537607501516715e-05, "loss": 0.9402, "step": 483 }, { "epoch": 2.86, "learning_rate": 3.616935211706275e-05, "loss": 0.8132, "step": 484 }, { "epoch": 2.86, "learning_rate": 3.5802551777477476e-05, "loss": 0.8682, "step": 485 }, { "epoch": 2.87, "learning_rate": 3.543721484411976e-05, "loss": 0.9198, "step": 486 }, { "epoch": 2.87, "learning_rate": 3.5073349644989564e-05, "loss": 0.958, "step": 487 }, { "epoch": 2.88, "learning_rate": 3.4710964474537966e-05, "loss": 0.8973, "step": 488 }, { "epoch": 2.89, "learning_rate": 3.4350067593478356e-05, "loss": 1.0462, "step": 489 }, { "epoch": 2.89, "learning_rate": 3.399066722859782e-05, "loss": 0.9042, "step": 490 }, { "epoch": 2.9, "learning_rate": 3.363277157256988e-05, "loss": 0.9075, "step": 491 }, { "epoch": 2.9, "learning_rate": 3.327638878376764e-05, "loss": 1.0444, "step": 492 }, { "epoch": 2.91, "learning_rate": 3.292152698607768e-05, "loss": 0.9098, "step": 493 }, { "epoch": 2.92, "learning_rate": 3.256819426871507e-05, "loss": 1.0037, "step": 494 }, { "epoch": 2.92, "learning_rate": 3.2216398686038926e-05, "loss": 0.8278, "step": 495 }, { "epoch": 2.93, "learning_rate": 3.1866148257368665e-05, "loss": 0.9869, "step": 496 }, { "epoch": 2.93, "learning_rate": 3.15174509668014e-05, "loss": 0.8511, "step": 497 }, { "epoch": 2.94, "learning_rate": 3.117031476302975e-05, "loss": 0.9983, "step": 498 }, { "epoch": 2.95, "learning_rate": 3.0824747559160836e-05, "loss": 1.0146, "step": 499 }, { "epoch": 2.95, "learning_rate": 3.0480757232535772e-05, "loss": 0.9705, "step": 500 }, { "epoch": 2.96, "learning_rate": 3.0138351624550164e-05, "loss": 0.8197, "step": 501 }, { "epoch": 2.96, "learning_rate": 2.979753854047522e-05, "loss": 1.0835, "step": 502 }, { "epoch": 2.97, "learning_rate": 2.9458325749280057e-05, "loss": 0.8451, "step": 503 }, { "epoch": 2.98, "learning_rate": 2.9120720983454463e-05, "loss": 0.9712, "step": 504 }, { "epoch": 2.98, "eval_loss": 0.7352047562599182, "eval_runtime": 14.5599, "eval_samples_per_second": 56.251, "eval_steps_per_second": 28.16, "step": 504 }, { "epoch": 2.98, "learning_rate": 2.8784731938832556e-05, "loss": 1.0257, "step": 505 }, { "epoch": 2.99, "learning_rate": 2.845036627441755e-05, "loss": 1.1134, "step": 506 }, { "epoch": 2.99, "learning_rate": 2.8117631612207084e-05, "loss": 0.8619, "step": 507 }, { "epoch": 3.0, "learning_rate": 2.778653553701932e-05, "loss": 0.8906, "step": 508 }, { "epoch": 3.01, "learning_rate": 2.745708559632032e-05, "loss": 0.8772, "step": 509 }, { "epoch": 3.01, "learning_rate": 2.7129289300051787e-05, "loss": 0.8894, "step": 510 }, { "epoch": 3.02, "learning_rate": 2.6803154120460007e-05, "loss": 0.8776, "step": 511 }, { "epoch": 3.01, "learning_rate": 2.6478687491925357e-05, "loss": 0.8533, "step": 512 }, { "epoch": 3.01, "learning_rate": 2.6155896810793036e-05, "loss": 0.8595, "step": 513 }, { "epoch": 3.02, "learning_rate": 2.5834789435204243e-05, "loss": 0.9187, "step": 514 }, { "epoch": 3.02, "learning_rate": 2.5515372684928683e-05, "loss": 0.8633, "step": 515 }, { "epoch": 3.03, "learning_rate": 2.5197653841197543e-05, "loss": 0.9337, "step": 516 }, { "epoch": 3.04, "learning_rate": 2.4881640146537498e-05, "loss": 0.9204, "step": 517 }, { "epoch": 3.04, "learning_rate": 2.4567338804605756e-05, "loss": 0.9667, "step": 518 }, { "epoch": 3.05, "learning_rate": 2.4254756980025773e-05, "loss": 0.8439, "step": 519 }, { "epoch": 3.05, "learning_rate": 2.394390179822382e-05, "loss": 0.8652, "step": 520 }, { "epoch": 3.06, "learning_rate": 2.3634780345266806e-05, "loss": 0.8782, "step": 521 }, { "epoch": 3.07, "learning_rate": 2.3327399667700477e-05, "loss": 0.9652, "step": 522 }, { "epoch": 3.07, "learning_rate": 2.3021766772388986e-05, "loss": 0.8984, "step": 523 }, { "epoch": 3.08, "learning_rate": 2.2717888626355134e-05, "loss": 0.8815, "step": 524 }, { "epoch": 3.08, "learning_rate": 2.2415772156621382e-05, "loss": 0.897, "step": 525 }, { "epoch": 3.09, "learning_rate": 2.211542425005223e-05, "loss": 0.9867, "step": 526 }, { "epoch": 3.1, "learning_rate": 2.181685175319702e-05, "loss": 0.8769, "step": 527 }, { "epoch": 3.1, "learning_rate": 2.1520061472133902e-05, "loss": 0.987, "step": 528 }, { "epoch": 3.11, "learning_rate": 2.122506017231477e-05, "loss": 0.8578, "step": 529 }, { "epoch": 3.11, "learning_rate": 2.0931854578410905e-05, "loss": 1.0012, "step": 530 }, { "epoch": 3.12, "learning_rate": 2.064045137415982e-05, "loss": 0.9574, "step": 531 }, { "epoch": 3.13, "learning_rate": 2.035085720221288e-05, "loss": 1.0041, "step": 532 }, { "epoch": 3.13, "learning_rate": 2.0063078663983714e-05, "loss": 0.9809, "step": 533 }, { "epoch": 3.14, "learning_rate": 1.9777122319497986e-05, "loss": 0.912, "step": 534 }, { "epoch": 3.14, "learning_rate": 1.9492994687243714e-05, "loss": 0.9197, "step": 535 }, { "epoch": 3.15, "learning_rate": 1.9210702244022617e-05, "loss": 1.0735, "step": 536 }, { "epoch": 3.16, "learning_rate": 1.893025142480265e-05, "loss": 0.8944, "step": 537 }, { "epoch": 3.16, "learning_rate": 1.8651648622571128e-05, "loss": 0.9093, "step": 538 }, { "epoch": 3.17, "learning_rate": 1.837490018818917e-05, "loss": 0.8556, "step": 539 }, { "epoch": 3.17, "learning_rate": 1.8100012430246837e-05, "loss": 0.8463, "step": 540 }, { "epoch": 3.18, "learning_rate": 1.7826991614919265e-05, "loss": 0.8961, "step": 541 }, { "epoch": 3.19, "learning_rate": 1.7555843965823992e-05, "loss": 1.0002, "step": 542 }, { "epoch": 3.19, "learning_rate": 1.7286575663878877e-05, "loss": 0.9748, "step": 543 }, { "epoch": 3.2, "learning_rate": 1.7019192847161425e-05, "loss": 0.8891, "step": 544 }, { "epoch": 3.2, "learning_rate": 1.6753701610768724e-05, "loss": 0.9421, "step": 545 }, { "epoch": 3.21, "learning_rate": 1.6490108006678494e-05, "loss": 0.9069, "step": 546 }, { "epoch": 3.21, "eval_loss": 0.7350304126739502, "eval_runtime": 14.3775, "eval_samples_per_second": 56.964, "eval_steps_per_second": 28.517, "step": 546 }, { "epoch": 3.21, "learning_rate": 1.6228418043611227e-05, "loss": 0.9492, "step": 547 }, { "epoch": 3.22, "learning_rate": 1.5968637686893186e-05, "loss": 0.932, "step": 548 }, { "epoch": 3.23, "learning_rate": 1.57107728583203e-05, "loss": 0.8966, "step": 549 }, { "epoch": 3.23, "learning_rate": 1.545482943602341e-05, "loss": 0.8305, "step": 550 }, { "epoch": 3.24, "learning_rate": 1.5200813254334012e-05, "loss": 0.8215, "step": 551 }, { "epoch": 3.24, "learning_rate": 1.4948730103651498e-05, "loss": 0.8472, "step": 552 }, { "epoch": 3.25, "learning_rate": 1.4698585730310998e-05, "loss": 0.8684, "step": 553 }, { "epoch": 3.26, "learning_rate": 1.4450385836452429e-05, "loss": 0.8235, "step": 554 }, { "epoch": 3.26, "learning_rate": 1.4204136079890584e-05, "loss": 0.862, "step": 555 }, { "epoch": 3.27, "learning_rate": 1.3959842073986085e-05, "loss": 0.8883, "step": 556 }, { "epoch": 3.27, "learning_rate": 1.371750938751739e-05, "loss": 0.9239, "step": 557 }, { "epoch": 3.28, "learning_rate": 1.3477143544553995e-05, "loss": 0.873, "step": 558 }, { "epoch": 3.29, "learning_rate": 1.3238750024330338e-05, "loss": 0.959, "step": 559 }, { "epoch": 3.29, "learning_rate": 1.300233426112103e-05, "loss": 0.9025, "step": 560 }, { "epoch": 3.3, "learning_rate": 1.2767901644116941e-05, "loss": 0.8984, "step": 561 }, { "epoch": 3.3, "learning_rate": 1.2535457517302263e-05, "loss": 0.9417, "step": 562 }, { "epoch": 3.31, "learning_rate": 1.230500717933285e-05, "loss": 0.836, "step": 563 }, { "epoch": 3.32, "learning_rate": 1.207655588341534e-05, "loss": 0.9123, "step": 564 }, { "epoch": 3.32, "learning_rate": 1.1850108837187335e-05, "loss": 1.0009, "step": 565 }, { "epoch": 3.33, "learning_rate": 1.1625671202598875e-05, "loss": 1.0058, "step": 566 }, { "epoch": 3.33, "learning_rate": 1.1403248095794628e-05, "loss": 0.9754, "step": 567 }, { "epoch": 3.34, "learning_rate": 1.1182844586997266e-05, "loss": 0.9161, "step": 568 }, { "epoch": 3.35, "learning_rate": 1.096446570039198e-05, "loss": 0.8327, "step": 569 }, { "epoch": 3.35, "learning_rate": 1.0748116414011888e-05, "loss": 0.8486, "step": 570 }, { "epoch": 3.36, "learning_rate": 1.0533801659624531e-05, "loss": 0.9521, "step": 571 }, { "epoch": 3.36, "learning_rate": 1.0321526322619534e-05, "loss": 0.9869, "step": 572 }, { "epoch": 3.37, "learning_rate": 1.0111295241897157e-05, "loss": 0.8474, "step": 573 }, { "epoch": 3.38, "learning_rate": 9.903113209758096e-06, "loss": 0.9183, "step": 574 }, { "epoch": 3.38, "learning_rate": 9.696984971794065e-06, "loss": 0.8979, "step": 575 }, { "epoch": 3.39, "learning_rate": 9.492915226779808e-06, "loss": 0.8548, "step": 576 }, { "epoch": 3.39, "learning_rate": 9.29090862656593e-06, "loss": 1.033, "step": 577 }, { "epoch": 3.4, "learning_rate": 9.090969775972736e-06, "loss": 0.8503, "step": 578 }, { "epoch": 3.41, "learning_rate": 8.89310323268544e-06, "loss": 0.9644, "step": 579 }, { "epoch": 3.41, "learning_rate": 8.697313507150184e-06, "loss": 0.9816, "step": 580 }, { "epoch": 3.42, "learning_rate": 8.503605062471187e-06, "loss": 1.0183, "step": 581 }, { "epoch": 3.42, "learning_rate": 8.311982314309109e-06, "loss": 0.9839, "step": 582 }, { "epoch": 3.43, "learning_rate": 8.122449630780238e-06, "loss": 0.8224, "step": 583 }, { "epoch": 3.44, "learning_rate": 7.935011332357112e-06, "loss": 0.8238, "step": 584 }, { "epoch": 3.44, "learning_rate": 7.749671691769911e-06, "loss": 0.9162, "step": 585 }, { "epoch": 3.45, "learning_rate": 7.566434933909006e-06, "loss": 0.929, "step": 586 }, { "epoch": 3.45, "learning_rate": 7.385305235728801e-06, "loss": 1.0165, "step": 587 }, { "epoch": 3.46, "learning_rate": 7.206286726152434e-06, "loss": 0.8973, "step": 588 }, { "epoch": 3.46, "eval_loss": 0.7341805100440979, "eval_runtime": 14.5889, "eval_samples_per_second": 56.139, "eval_steps_per_second": 28.104, "step": 588 }, { "epoch": 3.47, "learning_rate": 7.029383485977625e-06, "loss": 0.8952, "step": 589 }, { "epoch": 3.47, "learning_rate": 6.854599547783736e-06, "loss": 0.9449, "step": 590 }, { "epoch": 3.48, "learning_rate": 6.681938895839746e-06, "loss": 0.9427, "step": 591 }, { "epoch": 3.48, "learning_rate": 6.5114054660135315e-06, "loss": 0.9323, "step": 592 }, { "epoch": 3.49, "learning_rate": 6.343003145682114e-06, "loss": 0.9059, "step": 593 }, { "epoch": 3.5, "learning_rate": 6.176735773642961e-06, "loss": 0.8749, "step": 594 }, { "epoch": 3.5, "learning_rate": 6.012607140026605e-06, "loss": 0.9846, "step": 595 }, { "epoch": 3.51, "learning_rate": 5.850620986210198e-06, "loss": 0.8623, "step": 596 }, { "epoch": 3.51, "learning_rate": 5.69078100473216e-06, "loss": 0.9239, "step": 597 }, { "epoch": 3.52, "learning_rate": 5.533090839208133e-06, "loss": 0.9307, "step": 598 }, { "epoch": 3.53, "learning_rate": 5.377554084247771e-06, "loss": 0.9144, "step": 599 }, { "epoch": 3.53, "learning_rate": 5.224174285372974e-06, "loss": 0.9267, "step": 600 }, { "epoch": 3.54, "learning_rate": 5.0729549389369245e-06, "loss": 0.9614, "step": 601 }, { "epoch": 3.54, "learning_rate": 4.923899492044437e-06, "loss": 0.9391, "step": 602 }, { "epoch": 3.55, "learning_rate": 4.777011342473392e-06, "loss": 1.0601, "step": 603 }, { "epoch": 3.56, "learning_rate": 4.632293838597246e-06, "loss": 1.0046, "step": 604 }, { "epoch": 3.56, "learning_rate": 4.489750279308757e-06, "loss": 0.9584, "step": 605 }, { "epoch": 3.57, "learning_rate": 4.349383913944771e-06, "loss": 0.8467, "step": 606 }, { "epoch": 3.57, "learning_rate": 4.211197942212086e-06, "loss": 0.9803, "step": 607 }, { "epoch": 3.58, "learning_rate": 4.075195514114593e-06, "loss": 0.9995, "step": 608 }, { "epoch": 3.59, "learning_rate": 3.941379729881456e-06, "loss": 0.9114, "step": 609 }, { "epoch": 3.59, "learning_rate": 3.8097536398963963e-06, "loss": 0.9629, "step": 610 }, { "epoch": 3.6, "learning_rate": 3.6803202446282214e-06, "loss": 1.0647, "step": 611 }, { "epoch": 3.6, "learning_rate": 3.5530824945623542e-06, "loss": 0.8882, "step": 612 }, { "epoch": 3.61, "learning_rate": 3.4280432901336425e-06, "loss": 0.9751, "step": 613 }, { "epoch": 3.61, "learning_rate": 3.3052054816602452e-06, "loss": 0.9553, "step": 614 }, { "epoch": 3.62, "learning_rate": 3.184571869278574e-06, "loss": 0.8738, "step": 615 }, { "epoch": 3.63, "learning_rate": 3.0661452028795336e-06, "loss": 0.8258, "step": 616 }, { "epoch": 3.63, "learning_rate": 2.9499281820458692e-06, "loss": 0.9245, "step": 617 }, { "epoch": 3.64, "learning_rate": 2.835923455990508e-06, "loss": 0.9208, "step": 618 }, { "epoch": 3.64, "learning_rate": 2.7241336234962944e-06, "loss": 1.0179, "step": 619 }, { "epoch": 3.65, "learning_rate": 2.6145612328566717e-06, "loss": 0.8535, "step": 620 }, { "epoch": 3.66, "learning_rate": 2.5072087818176382e-06, "loss": 0.889, "step": 621 }, { "epoch": 3.66, "learning_rate": 2.402078717520795e-06, "loss": 0.9205, "step": 622 }, { "epoch": 3.67, "learning_rate": 2.2991734364475215e-06, "loss": 0.7831, "step": 623 }, { "epoch": 3.67, "learning_rate": 2.19849528436441e-06, "loss": 0.9609, "step": 624 }, { "epoch": 3.68, "learning_rate": 2.1000465562697856e-06, "loss": 0.9499, "step": 625 }, { "epoch": 3.69, "learning_rate": 2.003829496341325e-06, "loss": 0.9191, "step": 626 }, { "epoch": 3.69, "learning_rate": 1.9098462978849873e-06, "loss": 0.8958, "step": 627 }, { "epoch": 3.7, "learning_rate": 1.8180991032849426e-06, "loss": 0.9472, "step": 628 }, { "epoch": 3.7, "learning_rate": 1.7285900039547998e-06, "loss": 0.9246, "step": 629 }, { "epoch": 3.71, "learning_rate": 1.6413210402898893e-06, "loss": 0.9359, "step": 630 }, { "epoch": 3.71, "eval_loss": 0.7337182760238647, "eval_runtime": 14.3549, "eval_samples_per_second": 57.054, "eval_steps_per_second": 28.562, "step": 630 }, { "epoch": 3.72, "learning_rate": 1.5562942016207338e-06, "loss": 0.8341, "step": 631 }, { "epoch": 3.72, "learning_rate": 1.473511426167784e-06, "loss": 0.9046, "step": 632 }, { "epoch": 3.73, "learning_rate": 1.3929746009971433e-06, "loss": 0.8575, "step": 633 }, { "epoch": 3.73, "learning_rate": 1.3146855619776134e-06, "loss": 0.8378, "step": 634 }, { "epoch": 3.74, "learning_rate": 1.2386460937387822e-06, "loss": 0.8821, "step": 635 }, { "epoch": 3.75, "learning_rate": 1.1648579296304253e-06, "loss": 0.8412, "step": 636 }, { "epoch": 3.75, "learning_rate": 1.0933227516829347e-06, "loss": 0.89, "step": 637 }, { "epoch": 3.76, "learning_rate": 1.0240421905689745e-06, "loss": 0.8251, "step": 638 }, { "epoch": 3.76, "learning_rate": 9.570178255663532e-07, "loss": 0.71, "step": 639 }, { "epoch": 3.77, "learning_rate": 8.922511845219971e-07, "loss": 0.8918, "step": 640 }, { "epoch": 3.78, "learning_rate": 8.297437438170797e-07, "loss": 0.8273, "step": 641 }, { "epoch": 3.78, "learning_rate": 7.694969283334575e-07, "loss": 0.9645, "step": 642 }, { "epoch": 3.79, "learning_rate": 7.115121114211199e-07, "loss": 0.9352, "step": 643 }, { "epoch": 3.79, "learning_rate": 6.557906148669024e-07, "loss": 0.8733, "step": 644 }, { "epoch": 3.8, "learning_rate": 6.023337088643665e-07, "loss": 0.8949, "step": 645 }, { "epoch": 3.81, "learning_rate": 5.51142611984834e-07, "loss": 0.8571, "step": 646 }, { "epoch": 3.81, "learning_rate": 5.022184911495864e-07, "loss": 0.8543, "step": 647 }, { "epoch": 3.82, "learning_rate": 4.555624616033427e-07, "loss": 0.9077, "step": 648 }, { "epoch": 3.82, "learning_rate": 4.111755868887346e-07, "loss": 0.8877, "step": 649 }, { "epoch": 3.83, "learning_rate": 3.6905887882213717e-07, "loss": 1.1382, "step": 650 }, { "epoch": 3.84, "learning_rate": 3.292132974705653e-07, "loss": 0.8221, "step": 651 }, { "epoch": 3.84, "learning_rate": 2.916397511298019e-07, "loss": 0.8317, "step": 652 }, { "epoch": 3.85, "learning_rate": 2.5633909630371487e-07, "loss": 0.9018, "step": 653 }, { "epoch": 3.85, "learning_rate": 2.2331213768468363e-07, "loss": 0.9389, "step": 654 }, { "epoch": 3.86, "learning_rate": 1.925596281353026e-07, "loss": 0.8858, "step": 655 }, { "epoch": 3.87, "learning_rate": 1.6408226867118403e-07, "loss": 0.8439, "step": 656 }, { "epoch": 3.87, "learning_rate": 1.378807084450151e-07, "loss": 0.9853, "step": 657 }, { "epoch": 3.88, "learning_rate": 1.1395554473171422e-07, "loss": 0.7637, "step": 658 }, { "epoch": 3.88, "learning_rate": 9.230732291485301e-08, "loss": 0.9044, "step": 659 }, { "epoch": 3.89, "learning_rate": 7.293653647421073e-08, "loss": 0.8802, "step": 660 }, { "epoch": 3.9, "learning_rate": 5.584362697453882e-08, "loss": 0.9122, "step": 661 }, { "epoch": 3.9, "learning_rate": 4.102898405545785e-08, "loss": 1.0282, "step": 662 }, { "epoch": 3.91, "learning_rate": 2.8492945422620155e-08, "loss": 0.8859, "step": 663 }, { "epoch": 3.91, "learning_rate": 1.8235796839982665e-08, "loss": 0.8389, "step": 664 }, { "epoch": 3.92, "learning_rate": 1.0257772123312137e-08, "loss": 0.9671, "step": 665 }, { "epoch": 3.93, "learning_rate": 4.559053134822744e-09, "loss": 1.0085, "step": 666 }, { "epoch": 3.93, "learning_rate": 1.1397697790793694e-09, "loss": 0.8158, "step": 667 }, { "epoch": 3.94, "learning_rate": 0.0, "loss": 0.8907, "step": 668 } ], "logging_steps": 1, "max_steps": 668, "num_input_tokens_seen": 0, "num_train_epochs": 4, "save_steps": 167, "total_flos": 1.391544932153426e+17, "train_batch_size": 2, "trial_name": null, "trial_params": null }