{ "best_metric": null, "best_model_checkpoint": null, "epoch": 7.908208296557811, "eval_steps": 500, "global_step": 700, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.01, "learning_rate": 0.00019985795454545454, "loss": 3.3254, "step": 1 }, { "epoch": 0.02, "learning_rate": 0.0001997159090909091, "loss": 3.1222, "step": 2 }, { "epoch": 0.03, "learning_rate": 0.00019957386363636366, "loss": 2.9506, "step": 3 }, { "epoch": 0.05, "learning_rate": 0.0001994318181818182, "loss": 2.8459, "step": 4 }, { "epoch": 0.06, "learning_rate": 0.00019928977272727275, "loss": 2.7277, "step": 5 }, { "epoch": 0.07, "learning_rate": 0.00019914772727272728, "loss": 2.6184, "step": 6 }, { "epoch": 0.08, "learning_rate": 0.0001990056818181818, "loss": 2.5151, "step": 7 }, { "epoch": 0.09, "learning_rate": 0.00019886363636363637, "loss": 2.4234, "step": 8 }, { "epoch": 0.1, "learning_rate": 0.00019872159090909093, "loss": 2.3795, "step": 9 }, { "epoch": 0.11, "learning_rate": 0.00019857954545454546, "loss": 2.3629, "step": 10 }, { "epoch": 0.12, "learning_rate": 0.00019843750000000002, "loss": 2.3246, "step": 11 }, { "epoch": 0.14, "learning_rate": 0.00019829545454545455, "loss": 2.2274, "step": 12 }, { "epoch": 0.15, "learning_rate": 0.00019815340909090908, "loss": 2.2545, "step": 13 }, { "epoch": 0.16, "learning_rate": 0.00019801136363636367, "loss": 2.2814, "step": 14 }, { "epoch": 0.17, "learning_rate": 0.0001978693181818182, "loss": 2.2004, "step": 15 }, { "epoch": 0.18, "learning_rate": 0.00019772727272727273, "loss": 2.1897, "step": 16 }, { "epoch": 0.19, "learning_rate": 0.0001975852272727273, "loss": 2.2214, "step": 17 }, { "epoch": 0.2, "learning_rate": 0.00019744318181818182, "loss": 2.2103, "step": 18 }, { "epoch": 0.21, "learning_rate": 0.00019730113636363635, "loss": 2.1747, "step": 19 }, { "epoch": 0.23, "learning_rate": 0.00019715909090909094, "loss": 2.2067, "step": 20 }, { "epoch": 0.24, "learning_rate": 0.00019701704545454547, "loss": 2.1944, "step": 21 }, { "epoch": 0.25, "learning_rate": 0.000196875, "loss": 2.2088, "step": 22 }, { "epoch": 0.26, "learning_rate": 0.00019673295454545456, "loss": 2.1786, "step": 23 }, { "epoch": 0.27, "learning_rate": 0.0001965909090909091, "loss": 2.1242, "step": 24 }, { "epoch": 0.28, "learning_rate": 0.00019644886363636365, "loss": 2.1233, "step": 25 }, { "epoch": 0.29, "learning_rate": 0.0001963068181818182, "loss": 2.1616, "step": 26 }, { "epoch": 0.31, "learning_rate": 0.00019616477272727274, "loss": 2.1175, "step": 27 }, { "epoch": 0.32, "learning_rate": 0.00019602272727272727, "loss": 2.1242, "step": 28 }, { "epoch": 0.33, "learning_rate": 0.00019588068181818183, "loss": 2.186, "step": 29 }, { "epoch": 0.34, "learning_rate": 0.00019573863636363636, "loss": 2.1319, "step": 30 }, { "epoch": 0.35, "learning_rate": 0.00019559659090909092, "loss": 2.1219, "step": 31 }, { "epoch": 0.36, "learning_rate": 0.00019545454545454548, "loss": 2.1094, "step": 32 }, { "epoch": 0.37, "learning_rate": 0.0001953125, "loss": 2.1355, "step": 33 }, { "epoch": 0.38, "learning_rate": 0.00019517045454545454, "loss": 2.1231, "step": 34 }, { "epoch": 0.4, "learning_rate": 0.0001950284090909091, "loss": 2.1089, "step": 35 }, { "epoch": 0.41, "learning_rate": 0.00019488636363636366, "loss": 2.1329, "step": 36 }, { "epoch": 0.42, "learning_rate": 0.0001947443181818182, "loss": 2.1159, "step": 37 }, { "epoch": 0.43, "learning_rate": 0.00019460227272727275, "loss": 2.1001, "step": 38 }, { "epoch": 0.44, "learning_rate": 0.00019446022727272728, "loss": 2.1084, "step": 39 }, { "epoch": 0.45, "learning_rate": 0.0001943181818181818, "loss": 2.1431, "step": 40 }, { "epoch": 0.46, "learning_rate": 0.00019417613636363637, "loss": 2.1111, "step": 41 }, { "epoch": 0.47, "learning_rate": 0.00019403409090909093, "loss": 2.1067, "step": 42 }, { "epoch": 0.49, "learning_rate": 0.00019389204545454546, "loss": 2.0974, "step": 43 }, { "epoch": 0.5, "learning_rate": 0.00019375000000000002, "loss": 2.1001, "step": 44 }, { "epoch": 0.51, "learning_rate": 0.00019360795454545455, "loss": 2.0721, "step": 45 }, { "epoch": 0.52, "learning_rate": 0.00019346590909090908, "loss": 2.0786, "step": 46 }, { "epoch": 0.53, "learning_rate": 0.00019332386363636367, "loss": 2.0882, "step": 47 }, { "epoch": 0.54, "learning_rate": 0.0001931818181818182, "loss": 2.083, "step": 48 }, { "epoch": 0.55, "learning_rate": 0.00019303977272727273, "loss": 2.1016, "step": 49 }, { "epoch": 0.56, "learning_rate": 0.0001928977272727273, "loss": 2.0844, "step": 50 }, { "epoch": 0.58, "learning_rate": 0.00019275568181818182, "loss": 2.0891, "step": 51 }, { "epoch": 0.59, "learning_rate": 0.00019261363636363635, "loss": 2.053, "step": 52 }, { "epoch": 0.6, "learning_rate": 0.00019247159090909094, "loss": 2.1013, "step": 53 }, { "epoch": 0.61, "learning_rate": 0.00019232954545454547, "loss": 2.127, "step": 54 }, { "epoch": 0.62, "learning_rate": 0.0001921875, "loss": 2.0909, "step": 55 }, { "epoch": 0.63, "learning_rate": 0.00019204545454545456, "loss": 2.1026, "step": 56 }, { "epoch": 0.64, "learning_rate": 0.0001919034090909091, "loss": 2.0689, "step": 57 }, { "epoch": 0.66, "learning_rate": 0.00019176136363636365, "loss": 2.0475, "step": 58 }, { "epoch": 0.67, "learning_rate": 0.0001916193181818182, "loss": 2.0645, "step": 59 }, { "epoch": 0.68, "learning_rate": 0.00019147727272727274, "loss": 2.0469, "step": 60 }, { "epoch": 0.69, "learning_rate": 0.00019133522727272727, "loss": 2.081, "step": 61 }, { "epoch": 0.7, "learning_rate": 0.00019119318181818183, "loss": 2.0682, "step": 62 }, { "epoch": 0.71, "learning_rate": 0.00019105113636363636, "loss": 2.0794, "step": 63 }, { "epoch": 0.72, "learning_rate": 0.00019090909090909092, "loss": 2.0218, "step": 64 }, { "epoch": 0.73, "learning_rate": 0.00019076704545454548, "loss": 2.0791, "step": 65 }, { "epoch": 0.75, "learning_rate": 0.000190625, "loss": 2.0506, "step": 66 }, { "epoch": 0.76, "learning_rate": 0.00019048295454545454, "loss": 2.0581, "step": 67 }, { "epoch": 0.77, "learning_rate": 0.0001903409090909091, "loss": 2.0614, "step": 68 }, { "epoch": 0.78, "learning_rate": 0.00019019886363636366, "loss": 2.0743, "step": 69 }, { "epoch": 0.79, "learning_rate": 0.0001900568181818182, "loss": 2.0934, "step": 70 }, { "epoch": 0.8, "learning_rate": 0.00018991477272727275, "loss": 2.0695, "step": 71 }, { "epoch": 0.81, "learning_rate": 0.00018977272727272728, "loss": 2.0651, "step": 72 }, { "epoch": 0.82, "learning_rate": 0.00018963068181818181, "loss": 2.1002, "step": 73 }, { "epoch": 0.84, "learning_rate": 0.00018948863636363637, "loss": 2.0691, "step": 74 }, { "epoch": 0.85, "learning_rate": 0.00018934659090909093, "loss": 2.0596, "step": 75 }, { "epoch": 0.86, "learning_rate": 0.00018920454545454546, "loss": 2.0542, "step": 76 }, { "epoch": 0.87, "learning_rate": 0.00018906250000000002, "loss": 2.0543, "step": 77 }, { "epoch": 0.88, "learning_rate": 0.00018892045454545455, "loss": 2.0042, "step": 78 }, { "epoch": 0.89, "learning_rate": 0.00018877840909090908, "loss": 2.0072, "step": 79 }, { "epoch": 0.9, "learning_rate": 0.00018863636363636364, "loss": 2.0926, "step": 80 }, { "epoch": 0.92, "learning_rate": 0.0001884943181818182, "loss": 2.0015, "step": 81 }, { "epoch": 0.93, "learning_rate": 0.00018835227272727273, "loss": 2.0591, "step": 82 }, { "epoch": 0.94, "learning_rate": 0.0001882102272727273, "loss": 2.0522, "step": 83 }, { "epoch": 0.95, "learning_rate": 0.00018806818181818182, "loss": 2.0131, "step": 84 }, { "epoch": 0.96, "learning_rate": 0.00018792613636363636, "loss": 2.0572, "step": 85 }, { "epoch": 0.97, "learning_rate": 0.00018778409090909091, "loss": 2.0352, "step": 86 }, { "epoch": 0.98, "learning_rate": 0.00018764204545454547, "loss": 1.9937, "step": 87 }, { "epoch": 0.99, "learning_rate": 0.0001875, "loss": 2.0534, "step": 88 }, { "epoch": 1.01, "learning_rate": 0.00018735795454545456, "loss": 2.0151, "step": 89 }, { "epoch": 1.02, "learning_rate": 0.0001872159090909091, "loss": 2.0281, "step": 90 }, { "epoch": 1.03, "learning_rate": 0.00018707386363636365, "loss": 2.0582, "step": 91 }, { "epoch": 1.04, "learning_rate": 0.00018693181818181818, "loss": 2.0173, "step": 92 }, { "epoch": 1.05, "learning_rate": 0.00018678977272727274, "loss": 2.0318, "step": 93 }, { "epoch": 1.06, "learning_rate": 0.00018664772727272727, "loss": 2.0747, "step": 94 }, { "epoch": 1.07, "learning_rate": 0.00018650568181818183, "loss": 2.0036, "step": 95 }, { "epoch": 1.08, "learning_rate": 0.00018636363636363636, "loss": 2.0215, "step": 96 }, { "epoch": 1.1, "learning_rate": 0.00018622159090909092, "loss": 2.0385, "step": 97 }, { "epoch": 1.11, "learning_rate": 0.00018607954545454545, "loss": 2.0247, "step": 98 }, { "epoch": 1.12, "learning_rate": 0.0001859375, "loss": 2.0075, "step": 99 }, { "epoch": 1.13, "learning_rate": 0.00018579545454545454, "loss": 2.0134, "step": 100 }, { "epoch": 1.14, "learning_rate": 0.0001856534090909091, "loss": 1.9908, "step": 101 }, { "epoch": 1.15, "learning_rate": 0.00018551136363636366, "loss": 2.0048, "step": 102 }, { "epoch": 1.16, "learning_rate": 0.0001853693181818182, "loss": 1.9929, "step": 103 }, { "epoch": 1.17, "learning_rate": 0.00018522727272727273, "loss": 2.0545, "step": 104 }, { "epoch": 1.19, "learning_rate": 0.00018508522727272728, "loss": 2.0212, "step": 105 }, { "epoch": 1.2, "learning_rate": 0.00018494318181818182, "loss": 2.0154, "step": 106 }, { "epoch": 1.21, "learning_rate": 0.00018480113636363637, "loss": 1.988, "step": 107 }, { "epoch": 1.22, "learning_rate": 0.00018465909090909093, "loss": 2.004, "step": 108 }, { "epoch": 1.23, "learning_rate": 0.00018451704545454546, "loss": 1.9902, "step": 109 }, { "epoch": 1.24, "learning_rate": 0.000184375, "loss": 2.0044, "step": 110 }, { "epoch": 1.25, "learning_rate": 0.00018423295454545455, "loss": 2.028, "step": 111 }, { "epoch": 1.27, "learning_rate": 0.00018409090909090909, "loss": 1.975, "step": 112 }, { "epoch": 1.28, "learning_rate": 0.00018394886363636364, "loss": 1.9654, "step": 113 }, { "epoch": 1.29, "learning_rate": 0.0001838068181818182, "loss": 2.013, "step": 114 }, { "epoch": 1.3, "learning_rate": 0.00018366477272727273, "loss": 1.9918, "step": 115 }, { "epoch": 1.31, "learning_rate": 0.00018352272727272727, "loss": 2.0028, "step": 116 }, { "epoch": 1.32, "learning_rate": 0.00018338068181818182, "loss": 1.9906, "step": 117 }, { "epoch": 1.33, "learning_rate": 0.00018323863636363636, "loss": 1.9781, "step": 118 }, { "epoch": 1.34, "learning_rate": 0.00018309659090909091, "loss": 1.994, "step": 119 }, { "epoch": 1.36, "learning_rate": 0.00018295454545454547, "loss": 1.9732, "step": 120 }, { "epoch": 1.37, "learning_rate": 0.0001828125, "loss": 1.9985, "step": 121 }, { "epoch": 1.38, "learning_rate": 0.00018267045454545454, "loss": 2.032, "step": 122 }, { "epoch": 1.39, "learning_rate": 0.0001825284090909091, "loss": 1.9743, "step": 123 }, { "epoch": 1.4, "learning_rate": 0.00018238636363636365, "loss": 1.9857, "step": 124 }, { "epoch": 1.41, "learning_rate": 0.00018224431818181819, "loss": 2.0118, "step": 125 }, { "epoch": 1.42, "learning_rate": 0.00018210227272727274, "loss": 2.0151, "step": 126 }, { "epoch": 1.43, "learning_rate": 0.00018196022727272728, "loss": 1.9863, "step": 127 }, { "epoch": 1.45, "learning_rate": 0.00018181818181818183, "loss": 1.9959, "step": 128 }, { "epoch": 1.46, "learning_rate": 0.00018167613636363637, "loss": 1.9642, "step": 129 }, { "epoch": 1.47, "learning_rate": 0.00018153409090909092, "loss": 1.953, "step": 130 }, { "epoch": 1.48, "learning_rate": 0.00018139204545454546, "loss": 1.9994, "step": 131 }, { "epoch": 1.49, "learning_rate": 0.00018125000000000001, "loss": 1.9557, "step": 132 }, { "epoch": 1.5, "learning_rate": 0.00018110795454545455, "loss": 2.0051, "step": 133 }, { "epoch": 1.51, "learning_rate": 0.0001809659090909091, "loss": 1.9799, "step": 134 }, { "epoch": 1.53, "learning_rate": 0.00018082386363636366, "loss": 1.9696, "step": 135 }, { "epoch": 1.54, "learning_rate": 0.0001806818181818182, "loss": 1.9664, "step": 136 }, { "epoch": 1.55, "learning_rate": 0.00018053977272727273, "loss": 1.9619, "step": 137 }, { "epoch": 1.56, "learning_rate": 0.00018039772727272729, "loss": 1.9833, "step": 138 }, { "epoch": 1.57, "learning_rate": 0.00018025568181818182, "loss": 1.9791, "step": 139 }, { "epoch": 1.58, "learning_rate": 0.00018011363636363638, "loss": 1.9777, "step": 140 }, { "epoch": 1.59, "learning_rate": 0.00017997159090909093, "loss": 1.9361, "step": 141 }, { "epoch": 1.6, "learning_rate": 0.00017982954545454547, "loss": 1.9449, "step": 142 }, { "epoch": 1.62, "learning_rate": 0.0001796875, "loss": 1.9541, "step": 143 }, { "epoch": 1.63, "learning_rate": 0.00017954545454545456, "loss": 1.9867, "step": 144 }, { "epoch": 1.64, "learning_rate": 0.0001794034090909091, "loss": 1.9433, "step": 145 }, { "epoch": 1.65, "learning_rate": 0.00017926136363636365, "loss": 1.9789, "step": 146 }, { "epoch": 1.66, "learning_rate": 0.0001791193181818182, "loss": 1.9942, "step": 147 }, { "epoch": 1.67, "learning_rate": 0.00017897727272727274, "loss": 1.9724, "step": 148 }, { "epoch": 1.68, "learning_rate": 0.00017883522727272727, "loss": 1.9938, "step": 149 }, { "epoch": 1.69, "learning_rate": 0.00017869318181818183, "loss": 1.9264, "step": 150 }, { "epoch": 1.71, "learning_rate": 0.00017855113636363636, "loss": 1.9372, "step": 151 }, { "epoch": 1.72, "learning_rate": 0.00017840909090909092, "loss": 1.9463, "step": 152 }, { "epoch": 1.73, "learning_rate": 0.00017826704545454547, "loss": 1.9244, "step": 153 }, { "epoch": 1.74, "learning_rate": 0.000178125, "loss": 1.9139, "step": 154 }, { "epoch": 1.75, "learning_rate": 0.00017798295454545454, "loss": 1.9612, "step": 155 }, { "epoch": 1.76, "learning_rate": 0.0001778409090909091, "loss": 1.9399, "step": 156 }, { "epoch": 1.77, "learning_rate": 0.00017769886363636366, "loss": 1.906, "step": 157 }, { "epoch": 1.78, "learning_rate": 0.0001775568181818182, "loss": 1.9294, "step": 158 }, { "epoch": 1.8, "learning_rate": 0.00017741477272727275, "loss": 1.9663, "step": 159 }, { "epoch": 1.81, "learning_rate": 0.00017727272727272728, "loss": 1.9257, "step": 160 }, { "epoch": 1.82, "learning_rate": 0.0001771306818181818, "loss": 1.9416, "step": 161 }, { "epoch": 1.83, "learning_rate": 0.00017698863636363637, "loss": 1.94, "step": 162 }, { "epoch": 1.84, "learning_rate": 0.00017684659090909093, "loss": 1.9064, "step": 163 }, { "epoch": 1.85, "learning_rate": 0.00017670454545454546, "loss": 1.9363, "step": 164 }, { "epoch": 1.86, "learning_rate": 0.00017656250000000002, "loss": 1.9414, "step": 165 }, { "epoch": 1.88, "learning_rate": 0.00017642045454545455, "loss": 1.9526, "step": 166 }, { "epoch": 1.89, "learning_rate": 0.00017627840909090908, "loss": 1.9263, "step": 167 }, { "epoch": 1.9, "learning_rate": 0.00017613636363636366, "loss": 1.9251, "step": 168 }, { "epoch": 1.91, "learning_rate": 0.0001759943181818182, "loss": 1.9085, "step": 169 }, { "epoch": 1.92, "learning_rate": 0.00017585227272727273, "loss": 1.9287, "step": 170 }, { "epoch": 1.93, "learning_rate": 0.00017571022727272729, "loss": 1.9246, "step": 171 }, { "epoch": 1.94, "learning_rate": 0.00017556818181818182, "loss": 1.916, "step": 172 }, { "epoch": 1.95, "learning_rate": 0.00017542613636363635, "loss": 1.9297, "step": 173 }, { "epoch": 1.97, "learning_rate": 0.00017528409090909094, "loss": 1.8881, "step": 174 }, { "epoch": 1.98, "learning_rate": 0.00017514204545454547, "loss": 1.9208, "step": 175 }, { "epoch": 1.99, "learning_rate": 0.000175, "loss": 1.9233, "step": 176 }, { "epoch": 2.0, "learning_rate": 0.00017485795454545456, "loss": 1.9309, "step": 177 }, { "epoch": 2.01, "learning_rate": 0.0001747159090909091, "loss": 1.877, "step": 178 }, { "epoch": 2.02, "learning_rate": 0.00017457386363636365, "loss": 1.9083, "step": 179 }, { "epoch": 2.03, "learning_rate": 0.0001744318181818182, "loss": 1.8733, "step": 180 }, { "epoch": 2.04, "learning_rate": 0.00017428977272727274, "loss": 1.8905, "step": 181 }, { "epoch": 2.06, "learning_rate": 0.00017414772727272727, "loss": 1.9175, "step": 182 }, { "epoch": 2.07, "learning_rate": 0.00017400568181818183, "loss": 1.8846, "step": 183 }, { "epoch": 2.08, "learning_rate": 0.00017386363636363636, "loss": 1.8847, "step": 184 }, { "epoch": 2.09, "learning_rate": 0.00017372159090909092, "loss": 1.8948, "step": 185 }, { "epoch": 2.1, "learning_rate": 0.00017357954545454548, "loss": 1.8728, "step": 186 }, { "epoch": 2.11, "learning_rate": 0.0001734375, "loss": 1.8934, "step": 187 }, { "epoch": 2.12, "learning_rate": 0.00017329545454545454, "loss": 1.8796, "step": 188 }, { "epoch": 2.14, "learning_rate": 0.0001731534090909091, "loss": 1.902, "step": 189 }, { "epoch": 2.15, "learning_rate": 0.00017301136363636366, "loss": 1.8864, "step": 190 }, { "epoch": 2.16, "learning_rate": 0.0001728693181818182, "loss": 1.8682, "step": 191 }, { "epoch": 2.17, "learning_rate": 0.00017272727272727275, "loss": 1.8662, "step": 192 }, { "epoch": 2.18, "learning_rate": 0.00017258522727272728, "loss": 1.8526, "step": 193 }, { "epoch": 2.19, "learning_rate": 0.0001724431818181818, "loss": 1.8682, "step": 194 }, { "epoch": 2.2, "learning_rate": 0.00017230113636363637, "loss": 1.8205, "step": 195 }, { "epoch": 2.21, "learning_rate": 0.00017215909090909093, "loss": 1.8726, "step": 196 }, { "epoch": 2.23, "learning_rate": 0.00017201704545454546, "loss": 1.8241, "step": 197 }, { "epoch": 2.24, "learning_rate": 0.00017187500000000002, "loss": 1.9, "step": 198 }, { "epoch": 2.25, "learning_rate": 0.00017173295454545455, "loss": 1.8496, "step": 199 }, { "epoch": 2.26, "learning_rate": 0.00017159090909090908, "loss": 1.8562, "step": 200 }, { "epoch": 2.27, "learning_rate": 0.00017144886363636367, "loss": 1.8594, "step": 201 }, { "epoch": 2.28, "learning_rate": 0.0001713068181818182, "loss": 1.8606, "step": 202 }, { "epoch": 2.29, "learning_rate": 0.00017116477272727273, "loss": 1.8712, "step": 203 }, { "epoch": 2.3, "learning_rate": 0.0001710227272727273, "loss": 1.897, "step": 204 }, { "epoch": 2.32, "learning_rate": 0.00017088068181818182, "loss": 1.8287, "step": 205 }, { "epoch": 2.33, "learning_rate": 0.00017073863636363635, "loss": 1.8698, "step": 206 }, { "epoch": 2.34, "learning_rate": 0.00017059659090909094, "loss": 1.8611, "step": 207 }, { "epoch": 2.35, "learning_rate": 0.00017045454545454547, "loss": 1.8161, "step": 208 }, { "epoch": 2.36, "learning_rate": 0.0001703125, "loss": 1.8303, "step": 209 }, { "epoch": 2.37, "learning_rate": 0.00017017045454545456, "loss": 1.8423, "step": 210 }, { "epoch": 2.38, "learning_rate": 0.0001700284090909091, "loss": 1.861, "step": 211 }, { "epoch": 2.4, "learning_rate": 0.00016988636363636365, "loss": 1.864, "step": 212 }, { "epoch": 2.41, "learning_rate": 0.0001697443181818182, "loss": 1.8448, "step": 213 }, { "epoch": 2.42, "learning_rate": 0.00016960227272727274, "loss": 1.8463, "step": 214 }, { "epoch": 2.43, "learning_rate": 0.00016946022727272727, "loss": 1.8482, "step": 215 }, { "epoch": 2.44, "learning_rate": 0.00016931818181818183, "loss": 1.8289, "step": 216 }, { "epoch": 2.45, "learning_rate": 0.00016917613636363636, "loss": 1.8352, "step": 217 }, { "epoch": 2.46, "learning_rate": 0.00016903409090909092, "loss": 1.8161, "step": 218 }, { "epoch": 2.47, "learning_rate": 0.00016889204545454548, "loss": 1.8512, "step": 219 }, { "epoch": 2.49, "learning_rate": 0.00016875, "loss": 1.8211, "step": 220 }, { "epoch": 2.5, "learning_rate": 0.00016860795454545454, "loss": 1.7831, "step": 221 }, { "epoch": 2.51, "learning_rate": 0.0001684659090909091, "loss": 1.8232, "step": 222 }, { "epoch": 2.52, "learning_rate": 0.00016832386363636366, "loss": 1.8253, "step": 223 }, { "epoch": 2.53, "learning_rate": 0.0001681818181818182, "loss": 1.7994, "step": 224 }, { "epoch": 2.54, "learning_rate": 0.00016803977272727275, "loss": 1.8405, "step": 225 }, { "epoch": 2.55, "learning_rate": 0.00016789772727272728, "loss": 1.816, "step": 226 }, { "epoch": 2.56, "learning_rate": 0.0001677556818181818, "loss": 1.8343, "step": 227 }, { "epoch": 2.58, "learning_rate": 0.00016761363636363637, "loss": 1.8068, "step": 228 }, { "epoch": 2.59, "learning_rate": 0.00016747159090909093, "loss": 1.8337, "step": 229 }, { "epoch": 2.6, "learning_rate": 0.00016732954545454546, "loss": 1.8269, "step": 230 }, { "epoch": 2.61, "learning_rate": 0.00016718750000000002, "loss": 1.8243, "step": 231 }, { "epoch": 2.62, "learning_rate": 0.00016704545454545455, "loss": 1.7766, "step": 232 }, { "epoch": 2.63, "learning_rate": 0.00016690340909090908, "loss": 1.8144, "step": 233 }, { "epoch": 2.64, "learning_rate": 0.00016676136363636367, "loss": 1.8113, "step": 234 }, { "epoch": 2.65, "learning_rate": 0.0001666193181818182, "loss": 1.8086, "step": 235 }, { "epoch": 2.67, "learning_rate": 0.00016647727272727273, "loss": 1.785, "step": 236 }, { "epoch": 2.68, "learning_rate": 0.0001663352272727273, "loss": 1.7884, "step": 237 }, { "epoch": 2.69, "learning_rate": 0.00016619318181818182, "loss": 1.7953, "step": 238 }, { "epoch": 2.7, "learning_rate": 0.00016605113636363635, "loss": 1.8013, "step": 239 }, { "epoch": 2.71, "learning_rate": 0.00016590909090909094, "loss": 1.8074, "step": 240 }, { "epoch": 2.72, "learning_rate": 0.00016576704545454547, "loss": 1.82, "step": 241 }, { "epoch": 2.73, "learning_rate": 0.000165625, "loss": 1.7665, "step": 242 }, { "epoch": 2.75, "learning_rate": 0.00016548295454545456, "loss": 1.7638, "step": 243 }, { "epoch": 2.76, "learning_rate": 0.0001653409090909091, "loss": 1.7724, "step": 244 }, { "epoch": 2.77, "learning_rate": 0.00016519886363636365, "loss": 1.7917, "step": 245 }, { "epoch": 2.78, "learning_rate": 0.0001650568181818182, "loss": 1.8442, "step": 246 }, { "epoch": 2.79, "learning_rate": 0.00016491477272727274, "loss": 1.7887, "step": 247 }, { "epoch": 2.8, "learning_rate": 0.00016477272727272727, "loss": 1.8055, "step": 248 }, { "epoch": 2.81, "learning_rate": 0.00016463068181818183, "loss": 1.7754, "step": 249 }, { "epoch": 2.82, "learning_rate": 0.00016448863636363636, "loss": 1.7948, "step": 250 }, { "epoch": 2.84, "learning_rate": 0.00016434659090909092, "loss": 1.8332, "step": 251 }, { "epoch": 2.85, "learning_rate": 0.00016420454545454548, "loss": 1.772, "step": 252 }, { "epoch": 2.86, "learning_rate": 0.0001640625, "loss": 1.7781, "step": 253 }, { "epoch": 2.87, "learning_rate": 0.00016392045454545454, "loss": 1.7714, "step": 254 }, { "epoch": 2.88, "learning_rate": 0.0001637784090909091, "loss": 1.793, "step": 255 }, { "epoch": 2.89, "learning_rate": 0.00016363636363636366, "loss": 1.8038, "step": 256 }, { "epoch": 2.9, "learning_rate": 0.0001634943181818182, "loss": 1.8137, "step": 257 }, { "epoch": 2.91, "learning_rate": 0.00016335227272727275, "loss": 1.7726, "step": 258 }, { "epoch": 2.93, "learning_rate": 0.00016321022727272728, "loss": 1.7753, "step": 259 }, { "epoch": 2.94, "learning_rate": 0.0001630681818181818, "loss": 1.7553, "step": 260 }, { "epoch": 2.95, "learning_rate": 0.00016292613636363637, "loss": 1.7518, "step": 261 }, { "epoch": 2.96, "learning_rate": 0.00016278409090909093, "loss": 1.7724, "step": 262 }, { "epoch": 2.97, "learning_rate": 0.00016264204545454546, "loss": 1.7266, "step": 263 }, { "epoch": 2.98, "learning_rate": 0.00016250000000000002, "loss": 1.8032, "step": 264 }, { "epoch": 2.99, "learning_rate": 0.00016235795454545455, "loss": 1.7345, "step": 265 }, { "epoch": 3.01, "learning_rate": 0.00016221590909090908, "loss": 1.7249, "step": 266 }, { "epoch": 3.02, "learning_rate": 0.00016207386363636364, "loss": 1.7218, "step": 267 }, { "epoch": 3.03, "learning_rate": 0.0001619318181818182, "loss": 1.7092, "step": 268 }, { "epoch": 3.04, "learning_rate": 0.00016178977272727273, "loss": 1.6807, "step": 269 }, { "epoch": 3.05, "learning_rate": 0.0001616477272727273, "loss": 1.7264, "step": 270 }, { "epoch": 3.06, "learning_rate": 0.00016150568181818182, "loss": 1.726, "step": 271 }, { "epoch": 3.07, "learning_rate": 0.00016136363636363635, "loss": 1.6986, "step": 272 }, { "epoch": 3.08, "learning_rate": 0.0001612215909090909, "loss": 1.68, "step": 273 }, { "epoch": 3.1, "learning_rate": 0.00016107954545454547, "loss": 1.6677, "step": 274 }, { "epoch": 3.11, "learning_rate": 0.0001609375, "loss": 1.7137, "step": 275 }, { "epoch": 3.12, "learning_rate": 0.00016079545454545456, "loss": 1.6671, "step": 276 }, { "epoch": 3.13, "learning_rate": 0.0001606534090909091, "loss": 1.6873, "step": 277 }, { "epoch": 3.14, "learning_rate": 0.00016051136363636365, "loss": 1.6694, "step": 278 }, { "epoch": 3.15, "learning_rate": 0.00016036931818181818, "loss": 1.7003, "step": 279 }, { "epoch": 3.16, "learning_rate": 0.00016022727272727274, "loss": 1.6861, "step": 280 }, { "epoch": 3.17, "learning_rate": 0.00016008522727272727, "loss": 1.6881, "step": 281 }, { "epoch": 3.19, "learning_rate": 0.00015994318181818183, "loss": 1.6848, "step": 282 }, { "epoch": 3.2, "learning_rate": 0.00015980113636363636, "loss": 1.6872, "step": 283 }, { "epoch": 3.21, "learning_rate": 0.00015965909090909092, "loss": 1.6975, "step": 284 }, { "epoch": 3.22, "learning_rate": 0.00015951704545454545, "loss": 1.6708, "step": 285 }, { "epoch": 3.23, "learning_rate": 0.000159375, "loss": 1.6985, "step": 286 }, { "epoch": 3.24, "learning_rate": 0.00015923295454545454, "loss": 1.6586, "step": 287 }, { "epoch": 3.25, "learning_rate": 0.0001590909090909091, "loss": 1.6707, "step": 288 }, { "epoch": 3.26, "learning_rate": 0.00015894886363636366, "loss": 1.6576, "step": 289 }, { "epoch": 3.28, "learning_rate": 0.0001588068181818182, "loss": 1.6625, "step": 290 }, { "epoch": 3.29, "learning_rate": 0.00015866477272727275, "loss": 1.677, "step": 291 }, { "epoch": 3.3, "learning_rate": 0.00015852272727272728, "loss": 1.6599, "step": 292 }, { "epoch": 3.31, "learning_rate": 0.0001583806818181818, "loss": 1.6674, "step": 293 }, { "epoch": 3.32, "learning_rate": 0.00015823863636363637, "loss": 1.6707, "step": 294 }, { "epoch": 3.33, "learning_rate": 0.00015809659090909093, "loss": 1.6788, "step": 295 }, { "epoch": 3.34, "learning_rate": 0.00015795454545454546, "loss": 1.6686, "step": 296 }, { "epoch": 3.36, "learning_rate": 0.00015781250000000002, "loss": 1.6488, "step": 297 }, { "epoch": 3.37, "learning_rate": 0.00015767045454545455, "loss": 1.6806, "step": 298 }, { "epoch": 3.38, "learning_rate": 0.00015752840909090908, "loss": 1.6862, "step": 299 }, { "epoch": 3.39, "learning_rate": 0.00015738636363636364, "loss": 1.6499, "step": 300 }, { "epoch": 3.4, "learning_rate": 0.0001572443181818182, "loss": 1.6245, "step": 301 }, { "epoch": 3.41, "learning_rate": 0.00015710227272727273, "loss": 1.6268, "step": 302 }, { "epoch": 3.42, "learning_rate": 0.0001569602272727273, "loss": 1.6438, "step": 303 }, { "epoch": 3.43, "learning_rate": 0.00015681818181818182, "loss": 1.6681, "step": 304 }, { "epoch": 3.45, "learning_rate": 0.00015667613636363635, "loss": 1.6582, "step": 305 }, { "epoch": 3.46, "learning_rate": 0.0001565340909090909, "loss": 1.6432, "step": 306 }, { "epoch": 3.47, "learning_rate": 0.00015639204545454547, "loss": 1.617, "step": 307 }, { "epoch": 3.48, "learning_rate": 0.00015625, "loss": 1.6569, "step": 308 }, { "epoch": 3.49, "learning_rate": 0.00015610795454545456, "loss": 1.6276, "step": 309 }, { "epoch": 3.5, "learning_rate": 0.0001559659090909091, "loss": 1.6432, "step": 310 }, { "epoch": 3.51, "learning_rate": 0.00015582386363636365, "loss": 1.6132, "step": 311 }, { "epoch": 3.52, "learning_rate": 0.00015568181818181818, "loss": 1.5997, "step": 312 }, { "epoch": 3.54, "learning_rate": 0.00015553977272727274, "loss": 1.6154, "step": 313 }, { "epoch": 3.55, "learning_rate": 0.00015539772727272727, "loss": 1.5862, "step": 314 }, { "epoch": 3.56, "learning_rate": 0.00015525568181818183, "loss": 1.6233, "step": 315 }, { "epoch": 3.57, "learning_rate": 0.00015511363636363636, "loss": 1.6265, "step": 316 }, { "epoch": 3.58, "learning_rate": 0.00015497159090909092, "loss": 1.6171, "step": 317 }, { "epoch": 3.59, "learning_rate": 0.00015482954545454545, "loss": 1.6303, "step": 318 }, { "epoch": 3.6, "learning_rate": 0.0001546875, "loss": 1.6272, "step": 319 }, { "epoch": 3.62, "learning_rate": 0.00015454545454545454, "loss": 1.6183, "step": 320 }, { "epoch": 3.63, "learning_rate": 0.0001544034090909091, "loss": 1.6205, "step": 321 }, { "epoch": 3.64, "learning_rate": 0.00015426136363636366, "loss": 1.6099, "step": 322 }, { "epoch": 3.65, "learning_rate": 0.0001541193181818182, "loss": 1.5973, "step": 323 }, { "epoch": 3.66, "learning_rate": 0.00015397727272727272, "loss": 1.6247, "step": 324 }, { "epoch": 3.67, "learning_rate": 0.00015383522727272728, "loss": 1.6041, "step": 325 }, { "epoch": 3.68, "learning_rate": 0.00015369318181818181, "loss": 1.5835, "step": 326 }, { "epoch": 3.69, "learning_rate": 0.00015355113636363637, "loss": 1.608, "step": 327 }, { "epoch": 3.71, "learning_rate": 0.00015340909090909093, "loss": 1.6155, "step": 328 }, { "epoch": 3.72, "learning_rate": 0.00015326704545454546, "loss": 1.5777, "step": 329 }, { "epoch": 3.73, "learning_rate": 0.000153125, "loss": 1.5969, "step": 330 }, { "epoch": 3.74, "learning_rate": 0.00015298295454545455, "loss": 1.5904, "step": 331 }, { "epoch": 3.75, "learning_rate": 0.00015284090909090909, "loss": 1.586, "step": 332 }, { "epoch": 3.76, "learning_rate": 0.00015269886363636364, "loss": 1.582, "step": 333 }, { "epoch": 3.77, "learning_rate": 0.0001525568181818182, "loss": 1.548, "step": 334 }, { "epoch": 3.78, "learning_rate": 0.00015241477272727273, "loss": 1.5564, "step": 335 }, { "epoch": 3.8, "learning_rate": 0.00015227272727272727, "loss": 1.5506, "step": 336 }, { "epoch": 3.81, "learning_rate": 0.00015213068181818182, "loss": 1.5526, "step": 337 }, { "epoch": 3.82, "learning_rate": 0.00015198863636363636, "loss": 1.5564, "step": 338 }, { "epoch": 3.83, "learning_rate": 0.00015184659090909091, "loss": 1.5598, "step": 339 }, { "epoch": 3.84, "learning_rate": 0.00015170454545454547, "loss": 1.5679, "step": 340 }, { "epoch": 3.85, "learning_rate": 0.0001515625, "loss": 1.549, "step": 341 }, { "epoch": 3.86, "learning_rate": 0.00015142045454545454, "loss": 1.5672, "step": 342 }, { "epoch": 3.88, "learning_rate": 0.0001512784090909091, "loss": 1.5399, "step": 343 }, { "epoch": 3.89, "learning_rate": 0.00015113636363636365, "loss": 1.5576, "step": 344 }, { "epoch": 3.9, "learning_rate": 0.00015099431818181818, "loss": 1.549, "step": 345 }, { "epoch": 3.91, "learning_rate": 0.00015085227272727274, "loss": 1.5345, "step": 346 }, { "epoch": 3.92, "learning_rate": 0.00015071022727272728, "loss": 1.5015, "step": 347 }, { "epoch": 3.93, "learning_rate": 0.0001505681818181818, "loss": 1.5221, "step": 348 }, { "epoch": 3.94, "learning_rate": 0.00015042613636363637, "loss": 1.556, "step": 349 }, { "epoch": 3.95, "learning_rate": 0.00015028409090909092, "loss": 1.5276, "step": 350 }, { "epoch": 3.97, "learning_rate": 0.00015014204545454546, "loss": 1.552, "step": 351 }, { "epoch": 3.98, "learning_rate": 0.00015000000000000001, "loss": 1.5377, "step": 352 }, { "epoch": 3.99, "learning_rate": 0.00014985795454545455, "loss": 1.5576, "step": 353 }, { "epoch": 4.0, "learning_rate": 0.00014971590909090908, "loss": 1.5295, "step": 354 }, { "epoch": 4.01, "learning_rate": 0.00014957386363636366, "loss": 1.4842, "step": 355 }, { "epoch": 4.02, "learning_rate": 0.0001494318181818182, "loss": 1.4803, "step": 356 }, { "epoch": 4.03, "learning_rate": 0.00014928977272727273, "loss": 1.4559, "step": 357 }, { "epoch": 4.04, "learning_rate": 0.00014914772727272728, "loss": 1.4777, "step": 358 }, { "epoch": 4.06, "learning_rate": 0.00014900568181818182, "loss": 1.4343, "step": 359 }, { "epoch": 4.07, "learning_rate": 0.00014886363636363635, "loss": 1.4699, "step": 360 }, { "epoch": 4.08, "learning_rate": 0.00014872159090909093, "loss": 1.4452, "step": 361 }, { "epoch": 4.09, "learning_rate": 0.00014857954545454546, "loss": 1.4461, "step": 362 }, { "epoch": 4.1, "learning_rate": 0.0001484375, "loss": 1.4523, "step": 363 }, { "epoch": 4.11, "learning_rate": 0.00014829545454545455, "loss": 1.4425, "step": 364 }, { "epoch": 4.12, "learning_rate": 0.0001481534090909091, "loss": 1.4559, "step": 365 }, { "epoch": 4.13, "learning_rate": 0.00014801136363636365, "loss": 1.4193, "step": 366 }, { "epoch": 4.15, "learning_rate": 0.0001478693181818182, "loss": 1.4136, "step": 367 }, { "epoch": 4.16, "learning_rate": 0.00014772727272727274, "loss": 1.445, "step": 368 }, { "epoch": 4.17, "learning_rate": 0.00014758522727272727, "loss": 1.4304, "step": 369 }, { "epoch": 4.18, "learning_rate": 0.00014744318181818183, "loss": 1.3996, "step": 370 }, { "epoch": 4.19, "learning_rate": 0.00014730113636363636, "loss": 1.4247, "step": 371 }, { "epoch": 4.2, "learning_rate": 0.00014715909090909092, "loss": 1.4303, "step": 372 }, { "epoch": 4.21, "learning_rate": 0.00014701704545454547, "loss": 1.4219, "step": 373 }, { "epoch": 4.23, "learning_rate": 0.000146875, "loss": 1.4538, "step": 374 }, { "epoch": 4.24, "learning_rate": 0.00014673295454545454, "loss": 1.4391, "step": 375 }, { "epoch": 4.25, "learning_rate": 0.0001465909090909091, "loss": 1.4482, "step": 376 }, { "epoch": 4.26, "learning_rate": 0.00014644886363636365, "loss": 1.4208, "step": 377 }, { "epoch": 4.27, "learning_rate": 0.00014630681818181819, "loss": 1.4111, "step": 378 }, { "epoch": 4.28, "learning_rate": 0.00014616477272727274, "loss": 1.4318, "step": 379 }, { "epoch": 4.29, "learning_rate": 0.00014602272727272728, "loss": 1.3913, "step": 380 }, { "epoch": 4.3, "learning_rate": 0.0001458806818181818, "loss": 1.3847, "step": 381 }, { "epoch": 4.32, "learning_rate": 0.00014573863636363637, "loss": 1.4254, "step": 382 }, { "epoch": 4.33, "learning_rate": 0.00014559659090909093, "loss": 1.4143, "step": 383 }, { "epoch": 4.34, "learning_rate": 0.00014545454545454546, "loss": 1.4362, "step": 384 }, { "epoch": 4.35, "learning_rate": 0.00014531250000000002, "loss": 1.386, "step": 385 }, { "epoch": 4.36, "learning_rate": 0.00014517045454545455, "loss": 1.4009, "step": 386 }, { "epoch": 4.37, "learning_rate": 0.00014502840909090908, "loss": 1.4089, "step": 387 }, { "epoch": 4.38, "learning_rate": 0.00014488636363636366, "loss": 1.4117, "step": 388 }, { "epoch": 4.39, "learning_rate": 0.0001447443181818182, "loss": 1.3788, "step": 389 }, { "epoch": 4.41, "learning_rate": 0.00014460227272727273, "loss": 1.3573, "step": 390 }, { "epoch": 4.42, "learning_rate": 0.00014446022727272729, "loss": 1.4133, "step": 391 }, { "epoch": 4.43, "learning_rate": 0.00014431818181818182, "loss": 1.3866, "step": 392 }, { "epoch": 4.44, "learning_rate": 0.00014417613636363635, "loss": 1.3883, "step": 393 }, { "epoch": 4.45, "learning_rate": 0.00014403409090909093, "loss": 1.3741, "step": 394 }, { "epoch": 4.46, "learning_rate": 0.00014389204545454547, "loss": 1.358, "step": 395 }, { "epoch": 4.47, "learning_rate": 0.00014375, "loss": 1.3893, "step": 396 }, { "epoch": 4.49, "learning_rate": 0.00014360795454545456, "loss": 1.4062, "step": 397 }, { "epoch": 4.5, "learning_rate": 0.0001434659090909091, "loss": 1.3795, "step": 398 }, { "epoch": 4.51, "learning_rate": 0.00014332386363636365, "loss": 1.3472, "step": 399 }, { "epoch": 4.52, "learning_rate": 0.0001431818181818182, "loss": 1.3408, "step": 400 }, { "epoch": 4.53, "learning_rate": 0.00014303977272727274, "loss": 1.3801, "step": 401 }, { "epoch": 4.54, "learning_rate": 0.00014289772727272727, "loss": 1.3709, "step": 402 }, { "epoch": 4.55, "learning_rate": 0.00014275568181818183, "loss": 1.3653, "step": 403 }, { "epoch": 4.56, "learning_rate": 0.00014261363636363636, "loss": 1.4089, "step": 404 }, { "epoch": 4.58, "learning_rate": 0.00014247159090909092, "loss": 1.3281, "step": 405 }, { "epoch": 4.59, "learning_rate": 0.00014232954545454548, "loss": 1.328, "step": 406 }, { "epoch": 4.6, "learning_rate": 0.0001421875, "loss": 1.3458, "step": 407 }, { "epoch": 4.61, "learning_rate": 0.00014204545454545454, "loss": 1.3425, "step": 408 }, { "epoch": 4.62, "learning_rate": 0.0001419034090909091, "loss": 1.3236, "step": 409 }, { "epoch": 4.63, "learning_rate": 0.00014176136363636366, "loss": 1.3439, "step": 410 }, { "epoch": 4.64, "learning_rate": 0.0001416193181818182, "loss": 1.3397, "step": 411 }, { "epoch": 4.65, "learning_rate": 0.00014147727272727275, "loss": 1.329, "step": 412 }, { "epoch": 4.67, "learning_rate": 0.00014133522727272728, "loss": 1.3377, "step": 413 }, { "epoch": 4.68, "learning_rate": 0.0001411931818181818, "loss": 1.343, "step": 414 }, { "epoch": 4.69, "learning_rate": 0.00014105113636363637, "loss": 1.3185, "step": 415 }, { "epoch": 4.7, "learning_rate": 0.00014090909090909093, "loss": 1.3174, "step": 416 }, { "epoch": 4.71, "learning_rate": 0.00014076704545454546, "loss": 1.3231, "step": 417 }, { "epoch": 4.72, "learning_rate": 0.00014062500000000002, "loss": 1.3407, "step": 418 }, { "epoch": 4.73, "learning_rate": 0.00014048295454545455, "loss": 1.3138, "step": 419 }, { "epoch": 4.74, "learning_rate": 0.00014034090909090908, "loss": 1.3134, "step": 420 }, { "epoch": 4.76, "learning_rate": 0.00014019886363636367, "loss": 1.3187, "step": 421 }, { "epoch": 4.77, "learning_rate": 0.0001400568181818182, "loss": 1.2781, "step": 422 }, { "epoch": 4.78, "learning_rate": 0.00013991477272727273, "loss": 1.3254, "step": 423 }, { "epoch": 4.79, "learning_rate": 0.0001397727272727273, "loss": 1.2929, "step": 424 }, { "epoch": 4.8, "learning_rate": 0.00013963068181818182, "loss": 1.2953, "step": 425 }, { "epoch": 4.81, "learning_rate": 0.00013948863636363635, "loss": 1.3202, "step": 426 }, { "epoch": 4.82, "learning_rate": 0.00013934659090909094, "loss": 1.3118, "step": 427 }, { "epoch": 4.84, "learning_rate": 0.00013920454545454547, "loss": 1.3046, "step": 428 }, { "epoch": 4.85, "learning_rate": 0.0001390625, "loss": 1.2708, "step": 429 }, { "epoch": 4.86, "learning_rate": 0.00013892045454545456, "loss": 1.2835, "step": 430 }, { "epoch": 4.87, "learning_rate": 0.0001387784090909091, "loss": 1.2728, "step": 431 }, { "epoch": 4.88, "learning_rate": 0.00013863636363636365, "loss": 1.3107, "step": 432 }, { "epoch": 4.89, "learning_rate": 0.0001384943181818182, "loss": 1.2615, "step": 433 }, { "epoch": 4.9, "learning_rate": 0.00013835227272727274, "loss": 1.2754, "step": 434 }, { "epoch": 4.91, "learning_rate": 0.00013821022727272727, "loss": 1.3018, "step": 435 }, { "epoch": 4.93, "learning_rate": 0.00013806818181818183, "loss": 1.2878, "step": 436 }, { "epoch": 4.94, "learning_rate": 0.00013792613636363636, "loss": 1.2595, "step": 437 }, { "epoch": 4.95, "learning_rate": 0.00013778409090909092, "loss": 1.2688, "step": 438 }, { "epoch": 4.96, "learning_rate": 0.00013764204545454548, "loss": 1.2669, "step": 439 }, { "epoch": 4.97, "learning_rate": 0.0001375, "loss": 1.2861, "step": 440 }, { "epoch": 4.98, "learning_rate": 0.00013735795454545454, "loss": 1.2536, "step": 441 }, { "epoch": 4.99, "learning_rate": 0.0001372159090909091, "loss": 1.2584, "step": 442 }, { "epoch": 5.0, "learning_rate": 0.00013707386363636366, "loss": 1.2203, "step": 443 }, { "epoch": 5.02, "learning_rate": 0.0001369318181818182, "loss": 1.1796, "step": 444 }, { "epoch": 5.03, "learning_rate": 0.00013678977272727275, "loss": 1.1856, "step": 445 }, { "epoch": 5.04, "learning_rate": 0.00013664772727272728, "loss": 1.1801, "step": 446 }, { "epoch": 5.05, "learning_rate": 0.0001365056818181818, "loss": 1.1761, "step": 447 }, { "epoch": 5.06, "learning_rate": 0.00013636363636363637, "loss": 1.1495, "step": 448 }, { "epoch": 5.07, "learning_rate": 0.00013622159090909093, "loss": 1.1903, "step": 449 }, { "epoch": 5.08, "learning_rate": 0.00013607954545454546, "loss": 1.1778, "step": 450 }, { "epoch": 5.1, "learning_rate": 0.00013593750000000002, "loss": 1.1902, "step": 451 }, { "epoch": 5.11, "learning_rate": 0.00013579545454545455, "loss": 1.1597, "step": 452 }, { "epoch": 5.12, "learning_rate": 0.00013565340909090908, "loss": 1.1529, "step": 453 }, { "epoch": 5.13, "learning_rate": 0.00013551136363636364, "loss": 1.1627, "step": 454 }, { "epoch": 5.14, "learning_rate": 0.0001353693181818182, "loss": 1.1613, "step": 455 }, { "epoch": 5.15, "learning_rate": 0.00013522727272727273, "loss": 1.1336, "step": 456 }, { "epoch": 5.16, "learning_rate": 0.0001350852272727273, "loss": 1.1369, "step": 457 }, { "epoch": 5.17, "learning_rate": 0.00013494318181818182, "loss": 1.1592, "step": 458 }, { "epoch": 5.19, "learning_rate": 0.00013480113636363635, "loss": 1.1482, "step": 459 }, { "epoch": 5.2, "learning_rate": 0.00013465909090909094, "loss": 1.1857, "step": 460 }, { "epoch": 5.21, "learning_rate": 0.00013451704545454547, "loss": 1.1651, "step": 461 }, { "epoch": 5.22, "learning_rate": 0.000134375, "loss": 1.1544, "step": 462 }, { "epoch": 5.23, "learning_rate": 0.00013423295454545456, "loss": 1.125, "step": 463 }, { "epoch": 5.24, "learning_rate": 0.0001340909090909091, "loss": 1.167, "step": 464 }, { "epoch": 5.25, "learning_rate": 0.00013394886363636365, "loss": 1.1316, "step": 465 }, { "epoch": 5.26, "learning_rate": 0.0001338068181818182, "loss": 1.1604, "step": 466 }, { "epoch": 5.28, "learning_rate": 0.00013366477272727274, "loss": 1.2005, "step": 467 }, { "epoch": 5.29, "learning_rate": 0.00013352272727272727, "loss": 1.1496, "step": 468 }, { "epoch": 5.3, "learning_rate": 0.00013338068181818183, "loss": 1.1331, "step": 469 }, { "epoch": 5.31, "learning_rate": 0.00013323863636363636, "loss": 1.1414, "step": 470 }, { "epoch": 5.32, "learning_rate": 0.00013309659090909092, "loss": 1.0945, "step": 471 }, { "epoch": 5.33, "learning_rate": 0.00013295454545454548, "loss": 1.1305, "step": 472 }, { "epoch": 5.34, "learning_rate": 0.0001328125, "loss": 1.1293, "step": 473 }, { "epoch": 5.35, "learning_rate": 0.00013267045454545454, "loss": 1.163, "step": 474 }, { "epoch": 5.37, "learning_rate": 0.0001325284090909091, "loss": 1.1236, "step": 475 }, { "epoch": 5.38, "learning_rate": 0.00013238636363636366, "loss": 1.1236, "step": 476 }, { "epoch": 5.39, "learning_rate": 0.0001322443181818182, "loss": 1.1228, "step": 477 }, { "epoch": 5.4, "learning_rate": 0.00013210227272727275, "loss": 1.0993, "step": 478 }, { "epoch": 5.41, "learning_rate": 0.00013196022727272728, "loss": 1.1139, "step": 479 }, { "epoch": 5.42, "learning_rate": 0.0001318181818181818, "loss": 1.1019, "step": 480 }, { "epoch": 5.43, "learning_rate": 0.00013167613636363637, "loss": 1.0935, "step": 481 }, { "epoch": 5.45, "learning_rate": 0.00013153409090909093, "loss": 1.1067, "step": 482 }, { "epoch": 5.46, "learning_rate": 0.00013139204545454546, "loss": 1.0848, "step": 483 }, { "epoch": 5.47, "learning_rate": 0.00013125000000000002, "loss": 1.1188, "step": 484 }, { "epoch": 5.48, "learning_rate": 0.00013110795454545455, "loss": 1.1275, "step": 485 }, { "epoch": 5.49, "learning_rate": 0.00013096590909090908, "loss": 1.1211, "step": 486 }, { "epoch": 5.5, "learning_rate": 0.00013082386363636364, "loss": 1.1049, "step": 487 }, { "epoch": 5.51, "learning_rate": 0.0001306818181818182, "loss": 1.1057, "step": 488 }, { "epoch": 5.52, "learning_rate": 0.00013053977272727273, "loss": 1.0909, "step": 489 }, { "epoch": 5.54, "learning_rate": 0.0001303977272727273, "loss": 1.1138, "step": 490 }, { "epoch": 5.55, "learning_rate": 0.00013025568181818182, "loss": 1.1094, "step": 491 }, { "epoch": 5.56, "learning_rate": 0.00013011363636363635, "loss": 1.1187, "step": 492 }, { "epoch": 5.57, "learning_rate": 0.0001299715909090909, "loss": 1.1039, "step": 493 }, { "epoch": 5.58, "learning_rate": 0.00012982954545454547, "loss": 1.056, "step": 494 }, { "epoch": 5.59, "learning_rate": 0.0001296875, "loss": 1.0842, "step": 495 }, { "epoch": 5.6, "learning_rate": 0.00012954545454545456, "loss": 1.0749, "step": 496 }, { "epoch": 5.61, "learning_rate": 0.0001294034090909091, "loss": 1.1121, "step": 497 }, { "epoch": 5.63, "learning_rate": 0.00012926136363636365, "loss": 1.0772, "step": 498 }, { "epoch": 5.64, "learning_rate": 0.00012911931818181818, "loss": 1.0845, "step": 499 }, { "epoch": 5.65, "learning_rate": 0.00012897727272727274, "loss": 1.0534, "step": 500 }, { "epoch": 5.66, "learning_rate": 0.00012883522727272727, "loss": 1.0755, "step": 501 }, { "epoch": 5.67, "learning_rate": 0.00012869318181818183, "loss": 1.0755, "step": 502 }, { "epoch": 5.68, "learning_rate": 0.00012855113636363636, "loss": 1.0869, "step": 503 }, { "epoch": 5.69, "learning_rate": 0.00012840909090909092, "loss": 1.0673, "step": 504 }, { "epoch": 5.71, "learning_rate": 0.00012826704545454545, "loss": 1.0692, "step": 505 }, { "epoch": 5.72, "learning_rate": 0.000128125, "loss": 1.0474, "step": 506 }, { "epoch": 5.73, "learning_rate": 0.00012798295454545454, "loss": 1.0749, "step": 507 }, { "epoch": 5.74, "learning_rate": 0.0001278409090909091, "loss": 1.0519, "step": 508 }, { "epoch": 5.75, "learning_rate": 0.00012769886363636366, "loss": 1.0566, "step": 509 }, { "epoch": 5.76, "learning_rate": 0.0001275568181818182, "loss": 1.06, "step": 510 }, { "epoch": 5.77, "learning_rate": 0.00012741477272727272, "loss": 1.0618, "step": 511 }, { "epoch": 5.78, "learning_rate": 0.00012727272727272728, "loss": 1.0643, "step": 512 }, { "epoch": 5.8, "learning_rate": 0.0001271306818181818, "loss": 1.026, "step": 513 }, { "epoch": 5.81, "learning_rate": 0.00012698863636363637, "loss": 1.0335, "step": 514 }, { "epoch": 5.82, "learning_rate": 0.00012684659090909093, "loss": 1.0205, "step": 515 }, { "epoch": 5.83, "learning_rate": 0.00012670454545454546, "loss": 1.0594, "step": 516 }, { "epoch": 5.84, "learning_rate": 0.0001265625, "loss": 1.0136, "step": 517 }, { "epoch": 5.85, "learning_rate": 0.00012642045454545455, "loss": 1.0244, "step": 518 }, { "epoch": 5.86, "learning_rate": 0.00012627840909090908, "loss": 1.0569, "step": 519 }, { "epoch": 5.87, "learning_rate": 0.00012613636363636364, "loss": 1.0416, "step": 520 }, { "epoch": 5.89, "learning_rate": 0.0001259943181818182, "loss": 0.9884, "step": 521 }, { "epoch": 5.9, "learning_rate": 0.00012585227272727273, "loss": 1.0351, "step": 522 }, { "epoch": 5.91, "learning_rate": 0.00012571022727272726, "loss": 1.0037, "step": 523 }, { "epoch": 5.92, "learning_rate": 0.00012556818181818182, "loss": 1.0219, "step": 524 }, { "epoch": 5.93, "learning_rate": 0.00012542613636363635, "loss": 1.0533, "step": 525 }, { "epoch": 5.94, "learning_rate": 0.0001252840909090909, "loss": 1.0031, "step": 526 }, { "epoch": 5.95, "learning_rate": 0.00012514204545454547, "loss": 1.0454, "step": 527 }, { "epoch": 5.97, "learning_rate": 0.000125, "loss": 1.0195, "step": 528 }, { "epoch": 5.98, "learning_rate": 0.00012485795454545453, "loss": 1.0076, "step": 529 }, { "epoch": 5.99, "learning_rate": 0.0001247159090909091, "loss": 1.0378, "step": 530 }, { "epoch": 6.0, "learning_rate": 0.00012457386363636365, "loss": 0.9795, "step": 531 }, { "epoch": 6.01, "learning_rate": 0.00012443181818181818, "loss": 0.9405, "step": 532 }, { "epoch": 6.02, "learning_rate": 0.00012428977272727274, "loss": 0.9503, "step": 533 }, { "epoch": 6.03, "learning_rate": 0.00012414772727272727, "loss": 0.9456, "step": 534 }, { "epoch": 6.04, "learning_rate": 0.0001240056818181818, "loss": 0.9536, "step": 535 }, { "epoch": 6.06, "learning_rate": 0.00012386363636363636, "loss": 0.9412, "step": 536 }, { "epoch": 6.07, "learning_rate": 0.00012372159090909092, "loss": 0.9315, "step": 537 }, { "epoch": 6.08, "learning_rate": 0.00012357954545454545, "loss": 0.9486, "step": 538 }, { "epoch": 6.09, "learning_rate": 0.0001234375, "loss": 0.9405, "step": 539 }, { "epoch": 6.1, "learning_rate": 0.00012329545454545454, "loss": 0.9269, "step": 540 }, { "epoch": 6.11, "learning_rate": 0.0001231534090909091, "loss": 0.9378, "step": 541 }, { "epoch": 6.12, "learning_rate": 0.00012301136363636366, "loss": 0.9431, "step": 542 }, { "epoch": 6.13, "learning_rate": 0.0001228693181818182, "loss": 0.9256, "step": 543 }, { "epoch": 6.15, "learning_rate": 0.00012272727272727272, "loss": 0.919, "step": 544 }, { "epoch": 6.16, "learning_rate": 0.00012258522727272728, "loss": 0.9188, "step": 545 }, { "epoch": 6.17, "learning_rate": 0.00012244318181818181, "loss": 0.9447, "step": 546 }, { "epoch": 6.18, "learning_rate": 0.00012230113636363637, "loss": 0.9261, "step": 547 }, { "epoch": 6.19, "learning_rate": 0.00012215909090909093, "loss": 0.9302, "step": 548 }, { "epoch": 6.2, "learning_rate": 0.00012201704545454546, "loss": 0.9161, "step": 549 }, { "epoch": 6.21, "learning_rate": 0.00012187500000000001, "loss": 0.9521, "step": 550 }, { "epoch": 6.22, "learning_rate": 0.00012173295454545455, "loss": 0.9026, "step": 551 }, { "epoch": 6.24, "learning_rate": 0.00012159090909090908, "loss": 0.9361, "step": 552 }, { "epoch": 6.25, "learning_rate": 0.00012144886363636366, "loss": 0.8944, "step": 553 }, { "epoch": 6.26, "learning_rate": 0.00012130681818181819, "loss": 0.895, "step": 554 }, { "epoch": 6.27, "learning_rate": 0.00012116477272727273, "loss": 0.8956, "step": 555 }, { "epoch": 6.28, "learning_rate": 0.00012102272727272728, "loss": 0.8998, "step": 556 }, { "epoch": 6.29, "learning_rate": 0.00012088068181818182, "loss": 0.915, "step": 557 }, { "epoch": 6.3, "learning_rate": 0.00012073863636363636, "loss": 0.9282, "step": 558 }, { "epoch": 6.32, "learning_rate": 0.00012059659090909093, "loss": 0.8938, "step": 559 }, { "epoch": 6.33, "learning_rate": 0.00012045454545454546, "loss": 0.8886, "step": 560 }, { "epoch": 6.34, "learning_rate": 0.0001203125, "loss": 0.8988, "step": 561 }, { "epoch": 6.35, "learning_rate": 0.00012017045454545455, "loss": 0.8852, "step": 562 }, { "epoch": 6.36, "learning_rate": 0.0001200284090909091, "loss": 0.8818, "step": 563 }, { "epoch": 6.37, "learning_rate": 0.00011988636363636365, "loss": 0.8881, "step": 564 }, { "epoch": 6.38, "learning_rate": 0.0001197443181818182, "loss": 0.9226, "step": 565 }, { "epoch": 6.39, "learning_rate": 0.00011960227272727273, "loss": 0.8849, "step": 566 }, { "epoch": 6.41, "learning_rate": 0.00011946022727272727, "loss": 0.8894, "step": 567 }, { "epoch": 6.42, "learning_rate": 0.00011931818181818182, "loss": 0.9207, "step": 568 }, { "epoch": 6.43, "learning_rate": 0.00011917613636363636, "loss": 0.9105, "step": 569 }, { "epoch": 6.44, "learning_rate": 0.00011903409090909092, "loss": 0.8762, "step": 570 }, { "epoch": 6.45, "learning_rate": 0.00011889204545454547, "loss": 0.8926, "step": 571 }, { "epoch": 6.46, "learning_rate": 0.00011875, "loss": 0.8719, "step": 572 }, { "epoch": 6.47, "learning_rate": 0.00011860795454545454, "loss": 0.9198, "step": 573 }, { "epoch": 6.48, "learning_rate": 0.00011846590909090909, "loss": 0.8846, "step": 574 }, { "epoch": 6.5, "learning_rate": 0.00011832386363636365, "loss": 0.8495, "step": 575 }, { "epoch": 6.51, "learning_rate": 0.0001181818181818182, "loss": 0.8953, "step": 576 }, { "epoch": 6.52, "learning_rate": 0.00011803977272727274, "loss": 0.8686, "step": 577 }, { "epoch": 6.53, "learning_rate": 0.00011789772727272727, "loss": 0.8841, "step": 578 }, { "epoch": 6.54, "learning_rate": 0.00011775568181818182, "loss": 0.8681, "step": 579 }, { "epoch": 6.55, "learning_rate": 0.00011761363636363636, "loss": 0.8732, "step": 580 }, { "epoch": 6.56, "learning_rate": 0.00011747159090909092, "loss": 0.8582, "step": 581 }, { "epoch": 6.58, "learning_rate": 0.00011732954545454546, "loss": 0.8744, "step": 582 }, { "epoch": 6.59, "learning_rate": 0.00011718750000000001, "loss": 0.8694, "step": 583 }, { "epoch": 6.6, "learning_rate": 0.00011704545454545454, "loss": 0.8565, "step": 584 }, { "epoch": 6.61, "learning_rate": 0.00011690340909090909, "loss": 0.8584, "step": 585 }, { "epoch": 6.62, "learning_rate": 0.00011676136363636366, "loss": 0.8859, "step": 586 }, { "epoch": 6.63, "learning_rate": 0.00011661931818181819, "loss": 0.8452, "step": 587 }, { "epoch": 6.64, "learning_rate": 0.00011647727272727273, "loss": 0.8323, "step": 588 }, { "epoch": 6.65, "learning_rate": 0.00011633522727272728, "loss": 0.8548, "step": 589 }, { "epoch": 6.67, "learning_rate": 0.00011619318181818181, "loss": 0.8506, "step": 590 }, { "epoch": 6.68, "learning_rate": 0.00011605113636363636, "loss": 0.8556, "step": 591 }, { "epoch": 6.69, "learning_rate": 0.00011590909090909093, "loss": 0.8459, "step": 592 }, { "epoch": 6.7, "learning_rate": 0.00011576704545454546, "loss": 0.8432, "step": 593 }, { "epoch": 6.71, "learning_rate": 0.000115625, "loss": 0.8645, "step": 594 }, { "epoch": 6.72, "learning_rate": 0.00011548295454545455, "loss": 0.86, "step": 595 }, { "epoch": 6.73, "learning_rate": 0.00011534090909090908, "loss": 0.8161, "step": 596 }, { "epoch": 6.74, "learning_rate": 0.00011519886363636365, "loss": 0.8133, "step": 597 }, { "epoch": 6.76, "learning_rate": 0.0001150568181818182, "loss": 0.8372, "step": 598 }, { "epoch": 6.77, "learning_rate": 0.00011491477272727273, "loss": 0.8222, "step": 599 }, { "epoch": 6.78, "learning_rate": 0.00011477272727272728, "loss": 0.8372, "step": 600 }, { "epoch": 6.79, "learning_rate": 0.00011463068181818182, "loss": 0.837, "step": 601 }, { "epoch": 6.8, "learning_rate": 0.00011448863636363637, "loss": 0.8406, "step": 602 }, { "epoch": 6.81, "learning_rate": 0.00011434659090909092, "loss": 0.836, "step": 603 }, { "epoch": 6.82, "learning_rate": 0.00011420454545454547, "loss": 0.8476, "step": 604 }, { "epoch": 6.83, "learning_rate": 0.0001140625, "loss": 0.8368, "step": 605 }, { "epoch": 6.85, "learning_rate": 0.00011392045454545455, "loss": 0.822, "step": 606 }, { "epoch": 6.86, "learning_rate": 0.00011377840909090909, "loss": 0.8107, "step": 607 }, { "epoch": 6.87, "learning_rate": 0.00011363636363636365, "loss": 0.8395, "step": 608 }, { "epoch": 6.88, "learning_rate": 0.0001134943181818182, "loss": 0.8083, "step": 609 }, { "epoch": 6.89, "learning_rate": 0.00011335227272727274, "loss": 0.828, "step": 610 }, { "epoch": 6.9, "learning_rate": 0.00011321022727272727, "loss": 0.8494, "step": 611 }, { "epoch": 6.91, "learning_rate": 0.00011306818181818182, "loss": 0.8169, "step": 612 }, { "epoch": 6.93, "learning_rate": 0.00011292613636363636, "loss": 0.8224, "step": 613 }, { "epoch": 6.94, "learning_rate": 0.00011278409090909092, "loss": 0.8173, "step": 614 }, { "epoch": 6.95, "learning_rate": 0.00011264204545454547, "loss": 0.7961, "step": 615 }, { "epoch": 6.96, "learning_rate": 0.00011250000000000001, "loss": 0.7948, "step": 616 }, { "epoch": 6.97, "learning_rate": 0.00011235795454545454, "loss": 0.7746, "step": 617 }, { "epoch": 6.98, "learning_rate": 0.00011221590909090909, "loss": 0.8325, "step": 618 }, { "epoch": 6.99, "learning_rate": 0.00011207386363636365, "loss": 0.8149, "step": 619 }, { "epoch": 7.0, "learning_rate": 0.00011193181818181819, "loss": 0.7516, "step": 620 }, { "epoch": 7.02, "learning_rate": 0.00011178977272727274, "loss": 0.7571, "step": 621 }, { "epoch": 7.03, "learning_rate": 0.00011164772727272728, "loss": 0.7397, "step": 622 }, { "epoch": 7.04, "learning_rate": 0.00011150568181818181, "loss": 0.761, "step": 623 }, { "epoch": 7.05, "learning_rate": 0.00011136363636363636, "loss": 0.7783, "step": 624 }, { "epoch": 7.06, "learning_rate": 0.00011122159090909092, "loss": 0.7571, "step": 625 }, { "epoch": 7.07, "learning_rate": 0.00011107954545454546, "loss": 0.7628, "step": 626 }, { "epoch": 7.08, "learning_rate": 0.0001109375, "loss": 0.7561, "step": 627 }, { "epoch": 7.09, "learning_rate": 0.00011079545454545455, "loss": 0.7432, "step": 628 }, { "epoch": 7.11, "learning_rate": 0.00011065340909090908, "loss": 0.7245, "step": 629 }, { "epoch": 7.12, "learning_rate": 0.00011051136363636366, "loss": 0.7279, "step": 630 }, { "epoch": 7.13, "learning_rate": 0.00011036931818181819, "loss": 0.7347, "step": 631 }, { "epoch": 7.14, "learning_rate": 0.00011022727272727273, "loss": 0.7427, "step": 632 }, { "epoch": 7.15, "learning_rate": 0.00011008522727272728, "loss": 0.7339, "step": 633 }, { "epoch": 7.16, "learning_rate": 0.00010994318181818182, "loss": 0.7375, "step": 634 }, { "epoch": 7.17, "learning_rate": 0.00010980113636363635, "loss": 0.7182, "step": 635 }, { "epoch": 7.19, "learning_rate": 0.00010965909090909093, "loss": 0.7452, "step": 636 }, { "epoch": 7.2, "learning_rate": 0.00010951704545454546, "loss": 0.7565, "step": 637 }, { "epoch": 7.21, "learning_rate": 0.000109375, "loss": 0.7296, "step": 638 }, { "epoch": 7.22, "learning_rate": 0.00010923295454545455, "loss": 0.7484, "step": 639 }, { "epoch": 7.23, "learning_rate": 0.00010909090909090909, "loss": 0.732, "step": 640 }, { "epoch": 7.24, "learning_rate": 0.00010894886363636365, "loss": 0.7415, "step": 641 }, { "epoch": 7.25, "learning_rate": 0.0001088068181818182, "loss": 0.7344, "step": 642 }, { "epoch": 7.26, "learning_rate": 0.00010866477272727274, "loss": 0.7267, "step": 643 }, { "epoch": 7.28, "learning_rate": 0.00010852272727272727, "loss": 0.7543, "step": 644 }, { "epoch": 7.29, "learning_rate": 0.00010838068181818182, "loss": 0.7266, "step": 645 }, { "epoch": 7.3, "learning_rate": 0.00010823863636363636, "loss": 0.7449, "step": 646 }, { "epoch": 7.31, "learning_rate": 0.00010809659090909092, "loss": 0.7324, "step": 647 }, { "epoch": 7.32, "learning_rate": 0.00010795454545454547, "loss": 0.7268, "step": 648 }, { "epoch": 7.33, "learning_rate": 0.00010781250000000001, "loss": 0.7172, "step": 649 }, { "epoch": 7.34, "learning_rate": 0.00010767045454545454, "loss": 0.7169, "step": 650 }, { "epoch": 7.35, "learning_rate": 0.00010752840909090909, "loss": 0.7194, "step": 651 }, { "epoch": 7.37, "learning_rate": 0.00010738636363636365, "loss": 0.7223, "step": 652 }, { "epoch": 7.38, "learning_rate": 0.00010724431818181819, "loss": 0.7158, "step": 653 }, { "epoch": 7.39, "learning_rate": 0.00010710227272727274, "loss": 0.7122, "step": 654 }, { "epoch": 7.4, "learning_rate": 0.00010696022727272728, "loss": 0.7225, "step": 655 }, { "epoch": 7.41, "learning_rate": 0.00010681818181818181, "loss": 0.7102, "step": 656 }, { "epoch": 7.42, "learning_rate": 0.00010667613636363636, "loss": 0.7251, "step": 657 }, { "epoch": 7.43, "learning_rate": 0.00010653409090909092, "loss": 0.7191, "step": 658 }, { "epoch": 7.45, "learning_rate": 0.00010639204545454546, "loss": 0.7015, "step": 659 }, { "epoch": 7.46, "learning_rate": 0.00010625000000000001, "loss": 0.693, "step": 660 }, { "epoch": 7.47, "learning_rate": 0.00010610795454545455, "loss": 0.7039, "step": 661 }, { "epoch": 7.48, "learning_rate": 0.00010596590909090908, "loss": 0.7305, "step": 662 }, { "epoch": 7.49, "learning_rate": 0.00010582386363636366, "loss": 0.6978, "step": 663 }, { "epoch": 7.5, "learning_rate": 0.00010568181818181819, "loss": 0.7219, "step": 664 }, { "epoch": 7.51, "learning_rate": 0.00010553977272727273, "loss": 0.7199, "step": 665 }, { "epoch": 7.52, "learning_rate": 0.00010539772727272728, "loss": 0.6979, "step": 666 }, { "epoch": 7.54, "learning_rate": 0.00010525568181818182, "loss": 0.7058, "step": 667 }, { "epoch": 7.55, "learning_rate": 0.00010511363636363635, "loss": 0.6994, "step": 668 }, { "epoch": 7.56, "learning_rate": 0.00010497159090909093, "loss": 0.7141, "step": 669 }, { "epoch": 7.57, "learning_rate": 0.00010482954545454546, "loss": 0.7092, "step": 670 }, { "epoch": 7.58, "learning_rate": 0.0001046875, "loss": 0.7059, "step": 671 }, { "epoch": 7.59, "learning_rate": 0.00010454545454545455, "loss": 0.6904, "step": 672 }, { "epoch": 7.6, "learning_rate": 0.0001044034090909091, "loss": 0.7115, "step": 673 }, { "epoch": 7.61, "learning_rate": 0.00010426136363636365, "loss": 0.7254, "step": 674 }, { "epoch": 7.63, "learning_rate": 0.0001041193181818182, "loss": 0.7181, "step": 675 }, { "epoch": 7.64, "learning_rate": 0.00010397727272727273, "loss": 0.6867, "step": 676 }, { "epoch": 7.65, "learning_rate": 0.00010383522727272727, "loss": 0.6917, "step": 677 }, { "epoch": 7.66, "learning_rate": 0.00010369318181818182, "loss": 0.6908, "step": 678 }, { "epoch": 7.67, "learning_rate": 0.00010355113636363636, "loss": 0.6871, "step": 679 }, { "epoch": 7.68, "learning_rate": 0.00010340909090909092, "loss": 0.682, "step": 680 }, { "epoch": 7.69, "learning_rate": 0.00010326704545454547, "loss": 0.6737, "step": 681 }, { "epoch": 7.7, "learning_rate": 0.000103125, "loss": 0.7023, "step": 682 }, { "epoch": 7.72, "learning_rate": 0.00010298295454545454, "loss": 0.7079, "step": 683 }, { "epoch": 7.73, "learning_rate": 0.00010284090909090909, "loss": 0.6954, "step": 684 }, { "epoch": 7.74, "learning_rate": 0.00010269886363636365, "loss": 0.6834, "step": 685 }, { "epoch": 7.75, "learning_rate": 0.0001025568181818182, "loss": 0.6706, "step": 686 }, { "epoch": 7.76, "learning_rate": 0.00010241477272727274, "loss": 0.6706, "step": 687 }, { "epoch": 7.77, "learning_rate": 0.00010227272727272727, "loss": 0.681, "step": 688 }, { "epoch": 7.78, "learning_rate": 0.00010213068181818182, "loss": 0.6853, "step": 689 }, { "epoch": 7.8, "learning_rate": 0.00010198863636363636, "loss": 0.6772, "step": 690 }, { "epoch": 7.81, "learning_rate": 0.00010184659090909092, "loss": 0.6635, "step": 691 }, { "epoch": 7.82, "learning_rate": 0.00010170454545454546, "loss": 0.6712, "step": 692 }, { "epoch": 7.83, "learning_rate": 0.00010156250000000001, "loss": 0.6884, "step": 693 }, { "epoch": 7.84, "learning_rate": 0.00010142045454545454, "loss": 0.6641, "step": 694 }, { "epoch": 7.85, "learning_rate": 0.00010127840909090909, "loss": 0.6838, "step": 695 }, { "epoch": 7.86, "learning_rate": 0.00010113636363636366, "loss": 0.675, "step": 696 }, { "epoch": 7.87, "learning_rate": 0.00010099431818181819, "loss": 0.6626, "step": 697 }, { "epoch": 7.89, "learning_rate": 0.00010085227272727273, "loss": 0.6605, "step": 698 }, { "epoch": 7.9, "learning_rate": 0.00010071022727272728, "loss": 0.6777, "step": 699 }, { "epoch": 7.91, "learning_rate": 0.00010056818181818181, "loss": 0.6347, "step": 700 } ], "logging_steps": 1, "max_steps": 1408, "num_train_epochs": 16, "save_steps": 100, "total_flos": 9.550264840009421e+17, "trial_name": null, "trial_params": null }