diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,31339 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.999856314957613, + "global_step": 5219, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 1.2738853503184715e-07, + "loss": 1.2808, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 2.547770700636943e-07, + "loss": 1.3333, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 3.8216560509554143e-07, + "loss": 1.3078, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 5.095541401273886e-07, + "loss": 1.2553, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 6.369426751592357e-07, + "loss": 1.3083, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 7.643312101910829e-07, + "loss": 1.335, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 8.9171974522293e-07, + "loss": 1.2872, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 1.0191082802547772e-06, + "loss": 1.2884, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 1.1464968152866242e-06, + "loss": 1.3453, + "step": 9 + }, + { + "epoch": 0.0, + "learning_rate": 1.2738853503184715e-06, + "loss": 1.3292, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 1.4012738853503185e-06, + "loss": 1.2684, + "step": 11 + }, + { + "epoch": 0.0, + "learning_rate": 1.5286624203821657e-06, + "loss": 1.2826, + "step": 12 + }, + { + "epoch": 0.0, + "learning_rate": 1.6560509554140127e-06, + "loss": 0.3135, + "step": 13 + }, + { + "epoch": 0.0, + "learning_rate": 1.78343949044586e-06, + "loss": 1.2601, + "step": 14 + }, + { + "epoch": 0.0, + "learning_rate": 1.9108280254777074e-06, + "loss": 1.2056, + "step": 15 + }, + { + "epoch": 0.0, + "learning_rate": 2.0382165605095544e-06, + "loss": 1.1862, + "step": 16 + }, + { + "epoch": 0.0, + "learning_rate": 2.1656050955414015e-06, + "loss": 1.1818, + "step": 17 + }, + { + "epoch": 0.0, + "learning_rate": 2.2929936305732485e-06, + "loss": 1.1374, + "step": 18 + }, + { + "epoch": 0.0, + "learning_rate": 2.420382165605096e-06, + "loss": 1.1287, + "step": 19 + }, + { + "epoch": 0.0, + "learning_rate": 2.547770700636943e-06, + "loss": 1.0876, + "step": 20 + }, + { + "epoch": 0.0, + "learning_rate": 2.67515923566879e-06, + "loss": 1.1102, + "step": 21 + }, + { + "epoch": 0.0, + "learning_rate": 2.802547770700637e-06, + "loss": 1.1536, + "step": 22 + }, + { + "epoch": 0.0, + "learning_rate": 2.9299363057324844e-06, + "loss": 1.1058, + "step": 23 + }, + { + "epoch": 0.0, + "learning_rate": 3.0573248407643314e-06, + "loss": 1.0721, + "step": 24 + }, + { + "epoch": 0.0, + "learning_rate": 3.1847133757961785e-06, + "loss": 1.1321, + "step": 25 + }, + { + "epoch": 0.0, + "learning_rate": 3.3121019108280255e-06, + "loss": 1.0965, + "step": 26 + }, + { + "epoch": 0.01, + "learning_rate": 3.4394904458598725e-06, + "loss": 0.9958, + "step": 27 + }, + { + "epoch": 0.01, + "learning_rate": 3.56687898089172e-06, + "loss": 0.9759, + "step": 28 + }, + { + "epoch": 0.01, + "learning_rate": 3.694267515923567e-06, + "loss": 1.0873, + "step": 29 + }, + { + "epoch": 0.01, + "learning_rate": 3.821656050955415e-06, + "loss": 1.0365, + "step": 30 + }, + { + "epoch": 0.01, + "learning_rate": 3.949044585987262e-06, + "loss": 1.0582, + "step": 31 + }, + { + "epoch": 0.01, + "learning_rate": 4.076433121019109e-06, + "loss": 1.0943, + "step": 32 + }, + { + "epoch": 0.01, + "learning_rate": 4.203821656050956e-06, + "loss": 0.3268, + "step": 33 + }, + { + "epoch": 0.01, + "learning_rate": 4.331210191082803e-06, + "loss": 1.0165, + "step": 34 + }, + { + "epoch": 0.01, + "learning_rate": 4.45859872611465e-06, + "loss": 0.968, + "step": 35 + }, + { + "epoch": 0.01, + "learning_rate": 4.585987261146497e-06, + "loss": 1.0304, + "step": 36 + }, + { + "epoch": 0.01, + "learning_rate": 4.713375796178344e-06, + "loss": 0.2808, + "step": 37 + }, + { + "epoch": 0.01, + "learning_rate": 4.840764331210192e-06, + "loss": 1.0763, + "step": 38 + }, + { + "epoch": 0.01, + "learning_rate": 4.968152866242039e-06, + "loss": 0.9797, + "step": 39 + }, + { + "epoch": 0.01, + "learning_rate": 5.095541401273886e-06, + "loss": 0.9748, + "step": 40 + }, + { + "epoch": 0.01, + "learning_rate": 5.222929936305733e-06, + "loss": 1.0653, + "step": 41 + }, + { + "epoch": 0.01, + "learning_rate": 5.35031847133758e-06, + "loss": 1.0011, + "step": 42 + }, + { + "epoch": 0.01, + "learning_rate": 5.477707006369427e-06, + "loss": 1.0659, + "step": 43 + }, + { + "epoch": 0.01, + "learning_rate": 5.605095541401274e-06, + "loss": 1.0166, + "step": 44 + }, + { + "epoch": 0.01, + "learning_rate": 5.732484076433121e-06, + "loss": 1.0238, + "step": 45 + }, + { + "epoch": 0.01, + "learning_rate": 5.859872611464969e-06, + "loss": 1.059, + "step": 46 + }, + { + "epoch": 0.01, + "learning_rate": 5.987261146496816e-06, + "loss": 0.966, + "step": 47 + }, + { + "epoch": 0.01, + "learning_rate": 6.114649681528663e-06, + "loss": 1.0102, + "step": 48 + }, + { + "epoch": 0.01, + "learning_rate": 6.24203821656051e-06, + "loss": 1.0243, + "step": 49 + }, + { + "epoch": 0.01, + "learning_rate": 6.369426751592357e-06, + "loss": 1.0318, + "step": 50 + }, + { + "epoch": 0.01, + "learning_rate": 6.496815286624204e-06, + "loss": 0.9754, + "step": 51 + }, + { + "epoch": 0.01, + "learning_rate": 6.624203821656051e-06, + "loss": 1.0001, + "step": 52 + }, + { + "epoch": 0.01, + "learning_rate": 6.751592356687898e-06, + "loss": 0.9666, + "step": 53 + }, + { + "epoch": 0.01, + "learning_rate": 6.878980891719745e-06, + "loss": 0.9815, + "step": 54 + }, + { + "epoch": 0.01, + "learning_rate": 7.006369426751593e-06, + "loss": 1.0228, + "step": 55 + }, + { + "epoch": 0.01, + "learning_rate": 7.13375796178344e-06, + "loss": 0.9763, + "step": 56 + }, + { + "epoch": 0.01, + "learning_rate": 7.261146496815287e-06, + "loss": 0.943, + "step": 57 + }, + { + "epoch": 0.01, + "learning_rate": 7.388535031847134e-06, + "loss": 1.0249, + "step": 58 + }, + { + "epoch": 0.01, + "learning_rate": 7.515923566878982e-06, + "loss": 1.0121, + "step": 59 + }, + { + "epoch": 0.01, + "learning_rate": 7.64331210191083e-06, + "loss": 1.0003, + "step": 60 + }, + { + "epoch": 0.01, + "learning_rate": 7.770700636942676e-06, + "loss": 0.932, + "step": 61 + }, + { + "epoch": 0.01, + "learning_rate": 7.898089171974524e-06, + "loss": 0.9542, + "step": 62 + }, + { + "epoch": 0.01, + "learning_rate": 8.02547770700637e-06, + "loss": 0.961, + "step": 63 + }, + { + "epoch": 0.01, + "learning_rate": 8.152866242038218e-06, + "loss": 0.9643, + "step": 64 + }, + { + "epoch": 0.01, + "learning_rate": 8.280254777070064e-06, + "loss": 0.304, + "step": 65 + }, + { + "epoch": 0.01, + "learning_rate": 8.407643312101912e-06, + "loss": 0.958, + "step": 66 + }, + { + "epoch": 0.01, + "learning_rate": 8.53503184713376e-06, + "loss": 0.9869, + "step": 67 + }, + { + "epoch": 0.01, + "learning_rate": 8.662420382165606e-06, + "loss": 1.0115, + "step": 68 + }, + { + "epoch": 0.01, + "learning_rate": 8.789808917197454e-06, + "loss": 0.9746, + "step": 69 + }, + { + "epoch": 0.01, + "learning_rate": 8.9171974522293e-06, + "loss": 0.9381, + "step": 70 + }, + { + "epoch": 0.01, + "learning_rate": 9.044585987261148e-06, + "loss": 0.924, + "step": 71 + }, + { + "epoch": 0.01, + "learning_rate": 9.171974522292994e-06, + "loss": 1.0288, + "step": 72 + }, + { + "epoch": 0.01, + "learning_rate": 9.299363057324842e-06, + "loss": 0.9652, + "step": 73 + }, + { + "epoch": 0.01, + "learning_rate": 9.426751592356688e-06, + "loss": 0.9762, + "step": 74 + }, + { + "epoch": 0.01, + "learning_rate": 9.554140127388536e-06, + "loss": 0.3177, + "step": 75 + }, + { + "epoch": 0.01, + "learning_rate": 9.681528662420384e-06, + "loss": 0.9976, + "step": 76 + }, + { + "epoch": 0.01, + "learning_rate": 9.80891719745223e-06, + "loss": 0.9081, + "step": 77 + }, + { + "epoch": 0.01, + "learning_rate": 9.936305732484078e-06, + "loss": 0.9912, + "step": 78 + }, + { + "epoch": 0.02, + "learning_rate": 1.0063694267515924e-05, + "loss": 0.946, + "step": 79 + }, + { + "epoch": 0.02, + "learning_rate": 1.0191082802547772e-05, + "loss": 1.0079, + "step": 80 + }, + { + "epoch": 0.02, + "learning_rate": 1.0318471337579618e-05, + "loss": 0.3101, + "step": 81 + }, + { + "epoch": 0.02, + "learning_rate": 1.0445859872611466e-05, + "loss": 0.9446, + "step": 82 + }, + { + "epoch": 0.02, + "learning_rate": 1.0573248407643314e-05, + "loss": 0.9693, + "step": 83 + }, + { + "epoch": 0.02, + "learning_rate": 1.070063694267516e-05, + "loss": 0.9738, + "step": 84 + }, + { + "epoch": 0.02, + "learning_rate": 1.0828025477707008e-05, + "loss": 0.9677, + "step": 85 + }, + { + "epoch": 0.02, + "learning_rate": 1.0955414012738854e-05, + "loss": 1.0497, + "step": 86 + }, + { + "epoch": 0.02, + "learning_rate": 1.1082802547770702e-05, + "loss": 0.9811, + "step": 87 + }, + { + "epoch": 0.02, + "learning_rate": 1.1210191082802548e-05, + "loss": 0.8994, + "step": 88 + }, + { + "epoch": 0.02, + "learning_rate": 1.1337579617834396e-05, + "loss": 0.9785, + "step": 89 + }, + { + "epoch": 0.02, + "learning_rate": 1.1464968152866242e-05, + "loss": 0.9173, + "step": 90 + }, + { + "epoch": 0.02, + "learning_rate": 1.159235668789809e-05, + "loss": 0.9631, + "step": 91 + }, + { + "epoch": 0.02, + "learning_rate": 1.1719745222929938e-05, + "loss": 0.9429, + "step": 92 + }, + { + "epoch": 0.02, + "learning_rate": 1.1847133757961784e-05, + "loss": 0.9615, + "step": 93 + }, + { + "epoch": 0.02, + "learning_rate": 1.1974522292993632e-05, + "loss": 0.9135, + "step": 94 + }, + { + "epoch": 0.02, + "learning_rate": 1.2101910828025478e-05, + "loss": 0.9496, + "step": 95 + }, + { + "epoch": 0.02, + "learning_rate": 1.2229299363057326e-05, + "loss": 0.9072, + "step": 96 + }, + { + "epoch": 0.02, + "learning_rate": 1.2356687898089172e-05, + "loss": 0.981, + "step": 97 + }, + { + "epoch": 0.02, + "learning_rate": 1.248407643312102e-05, + "loss": 0.8827, + "step": 98 + }, + { + "epoch": 0.02, + "learning_rate": 1.2611464968152866e-05, + "loss": 0.9132, + "step": 99 + }, + { + "epoch": 0.02, + "learning_rate": 1.2738853503184714e-05, + "loss": 0.9653, + "step": 100 + }, + { + "epoch": 0.02, + "learning_rate": 1.2866242038216562e-05, + "loss": 0.9279, + "step": 101 + }, + { + "epoch": 0.02, + "learning_rate": 1.2993630573248408e-05, + "loss": 0.9583, + "step": 102 + }, + { + "epoch": 0.02, + "learning_rate": 1.3121019108280256e-05, + "loss": 0.9264, + "step": 103 + }, + { + "epoch": 0.02, + "learning_rate": 1.3248407643312102e-05, + "loss": 0.9723, + "step": 104 + }, + { + "epoch": 0.02, + "learning_rate": 1.337579617834395e-05, + "loss": 0.9345, + "step": 105 + }, + { + "epoch": 0.02, + "learning_rate": 1.3503184713375796e-05, + "loss": 0.2675, + "step": 106 + }, + { + "epoch": 0.02, + "learning_rate": 1.3630573248407644e-05, + "loss": 0.9975, + "step": 107 + }, + { + "epoch": 0.02, + "learning_rate": 1.375796178343949e-05, + "loss": 0.9542, + "step": 108 + }, + { + "epoch": 0.02, + "learning_rate": 1.3885350318471338e-05, + "loss": 0.9253, + "step": 109 + }, + { + "epoch": 0.02, + "learning_rate": 1.4012738853503186e-05, + "loss": 0.8882, + "step": 110 + }, + { + "epoch": 0.02, + "learning_rate": 1.4140127388535032e-05, + "loss": 0.9109, + "step": 111 + }, + { + "epoch": 0.02, + "learning_rate": 1.426751592356688e-05, + "loss": 0.9529, + "step": 112 + }, + { + "epoch": 0.02, + "learning_rate": 1.4394904458598726e-05, + "loss": 0.9331, + "step": 113 + }, + { + "epoch": 0.02, + "learning_rate": 1.4522292993630574e-05, + "loss": 0.9854, + "step": 114 + }, + { + "epoch": 0.02, + "learning_rate": 1.464968152866242e-05, + "loss": 1.0297, + "step": 115 + }, + { + "epoch": 0.02, + "learning_rate": 1.4777070063694268e-05, + "loss": 0.9979, + "step": 116 + }, + { + "epoch": 0.02, + "learning_rate": 1.4904458598726114e-05, + "loss": 0.9575, + "step": 117 + }, + { + "epoch": 0.02, + "learning_rate": 1.5031847133757964e-05, + "loss": 0.8792, + "step": 118 + }, + { + "epoch": 0.02, + "learning_rate": 1.5159235668789811e-05, + "loss": 0.9674, + "step": 119 + }, + { + "epoch": 0.02, + "learning_rate": 1.528662420382166e-05, + "loss": 0.9271, + "step": 120 + }, + { + "epoch": 0.02, + "learning_rate": 1.5414012738853506e-05, + "loss": 0.9641, + "step": 121 + }, + { + "epoch": 0.02, + "learning_rate": 1.5541401273885352e-05, + "loss": 1.0081, + "step": 122 + }, + { + "epoch": 0.02, + "learning_rate": 1.56687898089172e-05, + "loss": 0.9904, + "step": 123 + }, + { + "epoch": 0.02, + "learning_rate": 1.5796178343949047e-05, + "loss": 0.9221, + "step": 124 + }, + { + "epoch": 0.02, + "learning_rate": 1.5923566878980894e-05, + "loss": 0.9261, + "step": 125 + }, + { + "epoch": 0.02, + "learning_rate": 1.605095541401274e-05, + "loss": 0.9137, + "step": 126 + }, + { + "epoch": 0.02, + "learning_rate": 1.617834394904459e-05, + "loss": 0.9133, + "step": 127 + }, + { + "epoch": 0.02, + "learning_rate": 1.6305732484076436e-05, + "loss": 0.8348, + "step": 128 + }, + { + "epoch": 0.02, + "learning_rate": 1.643312101910828e-05, + "loss": 0.9276, + "step": 129 + }, + { + "epoch": 0.02, + "learning_rate": 1.6560509554140128e-05, + "loss": 0.8997, + "step": 130 + }, + { + "epoch": 0.03, + "learning_rate": 1.6687898089171977e-05, + "loss": 0.9424, + "step": 131 + }, + { + "epoch": 0.03, + "learning_rate": 1.6815286624203824e-05, + "loss": 0.922, + "step": 132 + }, + { + "epoch": 0.03, + "learning_rate": 1.694267515923567e-05, + "loss": 0.8929, + "step": 133 + }, + { + "epoch": 0.03, + "learning_rate": 1.707006369426752e-05, + "loss": 0.9186, + "step": 134 + }, + { + "epoch": 0.03, + "learning_rate": 1.7197452229299365e-05, + "loss": 0.9567, + "step": 135 + }, + { + "epoch": 0.03, + "learning_rate": 1.732484076433121e-05, + "loss": 0.9418, + "step": 136 + }, + { + "epoch": 0.03, + "learning_rate": 1.7452229299363058e-05, + "loss": 0.8996, + "step": 137 + }, + { + "epoch": 0.03, + "learning_rate": 1.7579617834394907e-05, + "loss": 0.9948, + "step": 138 + }, + { + "epoch": 0.03, + "learning_rate": 1.7707006369426754e-05, + "loss": 0.9434, + "step": 139 + }, + { + "epoch": 0.03, + "learning_rate": 1.78343949044586e-05, + "loss": 0.9661, + "step": 140 + }, + { + "epoch": 0.03, + "learning_rate": 1.796178343949045e-05, + "loss": 0.9952, + "step": 141 + }, + { + "epoch": 0.03, + "learning_rate": 1.8089171974522295e-05, + "loss": 0.3187, + "step": 142 + }, + { + "epoch": 0.03, + "learning_rate": 1.821656050955414e-05, + "loss": 0.9224, + "step": 143 + }, + { + "epoch": 0.03, + "learning_rate": 1.8343949044585988e-05, + "loss": 0.9598, + "step": 144 + }, + { + "epoch": 0.03, + "learning_rate": 1.8471337579617837e-05, + "loss": 0.9084, + "step": 145 + }, + { + "epoch": 0.03, + "learning_rate": 1.8598726114649684e-05, + "loss": 0.2948, + "step": 146 + }, + { + "epoch": 0.03, + "learning_rate": 1.872611464968153e-05, + "loss": 0.9323, + "step": 147 + }, + { + "epoch": 0.03, + "learning_rate": 1.8853503184713376e-05, + "loss": 0.8868, + "step": 148 + }, + { + "epoch": 0.03, + "learning_rate": 1.8980891719745225e-05, + "loss": 0.8772, + "step": 149 + }, + { + "epoch": 0.03, + "learning_rate": 1.910828025477707e-05, + "loss": 0.968, + "step": 150 + }, + { + "epoch": 0.03, + "learning_rate": 1.9235668789808918e-05, + "loss": 0.9372, + "step": 151 + }, + { + "epoch": 0.03, + "learning_rate": 1.9363057324840767e-05, + "loss": 0.9901, + "step": 152 + }, + { + "epoch": 0.03, + "learning_rate": 1.9490445859872614e-05, + "loss": 0.9829, + "step": 153 + }, + { + "epoch": 0.03, + "learning_rate": 1.961783439490446e-05, + "loss": 0.9405, + "step": 154 + }, + { + "epoch": 0.03, + "learning_rate": 1.9745222929936306e-05, + "loss": 0.9367, + "step": 155 + }, + { + "epoch": 0.03, + "learning_rate": 1.9872611464968155e-05, + "loss": 0.9301, + "step": 156 + }, + { + "epoch": 0.03, + "learning_rate": 2e-05, + "loss": 0.936, + "step": 157 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999998074136714e-05, + "loss": 0.9486, + "step": 158 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999992296547597e-05, + "loss": 0.9327, + "step": 159 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999982667234872e-05, + "loss": 0.9293, + "step": 160 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999969186202253e-05, + "loss": 0.9435, + "step": 161 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999951853454925e-05, + "loss": 0.8977, + "step": 162 + }, + { + "epoch": 0.03, + "learning_rate": 1.999993066899957e-05, + "loss": 0.889, + "step": 163 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999905632844348e-05, + "loss": 0.9431, + "step": 164 + }, + { + "epoch": 0.03, + "learning_rate": 1.99998767449989e-05, + "loss": 0.9745, + "step": 165 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999844005474355e-05, + "loss": 0.9646, + "step": 166 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999807414283317e-05, + "loss": 0.3291, + "step": 167 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999766971439886e-05, + "loss": 0.9422, + "step": 168 + }, + { + "epoch": 0.03, + "learning_rate": 1.999972267695964e-05, + "loss": 0.9421, + "step": 169 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999674530859634e-05, + "loss": 0.9645, + "step": 170 + }, + { + "epoch": 0.03, + "learning_rate": 1.999962253315842e-05, + "loss": 1.0279, + "step": 171 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999566683876025e-05, + "loss": 1.0195, + "step": 172 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999506983033953e-05, + "loss": 0.9161, + "step": 173 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999443430655208e-05, + "loss": 0.9295, + "step": 174 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999376026764264e-05, + "loss": 0.9754, + "step": 175 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999304771387082e-05, + "loss": 0.9272, + "step": 176 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999229664551113e-05, + "loss": 0.9213, + "step": 177 + }, + { + "epoch": 0.03, + "learning_rate": 1.999915070628528e-05, + "loss": 0.8696, + "step": 178 + }, + { + "epoch": 0.03, + "learning_rate": 1.999906789662e-05, + "loss": 0.9148, + "step": 179 + }, + { + "epoch": 0.03, + "learning_rate": 1.999898123558717e-05, + "loss": 0.9496, + "step": 180 + }, + { + "epoch": 0.03, + "learning_rate": 1.9998890723220165e-05, + "loss": 0.9482, + "step": 181 + }, + { + "epoch": 0.03, + "learning_rate": 1.999879635955385e-05, + "loss": 0.9426, + "step": 182 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998698144624567e-05, + "loss": 0.3011, + "step": 183 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998596078470153e-05, + "loss": 0.9517, + "step": 184 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998490161129923e-05, + "loss": 0.9224, + "step": 185 + }, + { + "epoch": 0.04, + "learning_rate": 1.999838039264466e-05, + "loss": 0.9284, + "step": 186 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998266773056656e-05, + "loss": 0.2936, + "step": 187 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998149302409673e-05, + "loss": 0.9972, + "step": 188 + }, + { + "epoch": 0.04, + "learning_rate": 1.999802798074895e-05, + "loss": 0.9663, + "step": 189 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997902808121225e-05, + "loss": 0.9534, + "step": 190 + }, + { + "epoch": 0.04, + "learning_rate": 1.999777378457471e-05, + "loss": 1.0082, + "step": 191 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997640910159097e-05, + "loss": 0.9425, + "step": 192 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997504184925565e-05, + "loss": 0.9264, + "step": 193 + }, + { + "epoch": 0.04, + "learning_rate": 1.999736360892678e-05, + "loss": 0.9695, + "step": 194 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997219182216886e-05, + "loss": 0.9044, + "step": 195 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997070904851518e-05, + "loss": 0.9581, + "step": 196 + }, + { + "epoch": 0.04, + "learning_rate": 1.9996918776887785e-05, + "loss": 1.0295, + "step": 197 + }, + { + "epoch": 0.04, + "learning_rate": 1.9996762798384278e-05, + "loss": 0.8775, + "step": 198 + }, + { + "epoch": 0.04, + "learning_rate": 1.999660296940108e-05, + "loss": 1.009, + "step": 199 + }, + { + "epoch": 0.04, + "learning_rate": 1.999643928999975e-05, + "loss": 0.3335, + "step": 200 + }, + { + "epoch": 0.04, + "learning_rate": 1.999627176024334e-05, + "loss": 0.9786, + "step": 201 + }, + { + "epoch": 0.04, + "learning_rate": 1.999610038019637e-05, + "loss": 0.932, + "step": 202 + }, + { + "epoch": 0.04, + "learning_rate": 1.9995925149924857e-05, + "loss": 0.9896, + "step": 203 + }, + { + "epoch": 0.04, + "learning_rate": 1.9995746069496287e-05, + "loss": 0.8967, + "step": 204 + }, + { + "epoch": 0.04, + "learning_rate": 1.9995563138979642e-05, + "loss": 0.9259, + "step": 205 + }, + { + "epoch": 0.04, + "learning_rate": 1.9995376358445383e-05, + "loss": 0.9076, + "step": 206 + }, + { + "epoch": 0.04, + "learning_rate": 1.999518572796545e-05, + "loss": 1.0008, + "step": 207 + }, + { + "epoch": 0.04, + "learning_rate": 1.999499124761327e-05, + "loss": 0.9507, + "step": 208 + }, + { + "epoch": 0.04, + "learning_rate": 1.9994792917463752e-05, + "loss": 0.9336, + "step": 209 + }, + { + "epoch": 0.04, + "learning_rate": 1.9994590737593288e-05, + "loss": 0.9531, + "step": 210 + }, + { + "epoch": 0.04, + "learning_rate": 1.9994384708079746e-05, + "loss": 0.9628, + "step": 211 + }, + { + "epoch": 0.04, + "learning_rate": 1.999417482900249e-05, + "loss": 0.932, + "step": 212 + }, + { + "epoch": 0.04, + "learning_rate": 1.999396110044236e-05, + "loss": 0.9372, + "step": 213 + }, + { + "epoch": 0.04, + "learning_rate": 1.999374352248167e-05, + "loss": 0.9666, + "step": 214 + }, + { + "epoch": 0.04, + "learning_rate": 1.9993522095204238e-05, + "loss": 0.9309, + "step": 215 + }, + { + "epoch": 0.04, + "learning_rate": 1.999329681869534e-05, + "loss": 0.9211, + "step": 216 + }, + { + "epoch": 0.04, + "learning_rate": 1.9993067693041754e-05, + "loss": 0.9253, + "step": 217 + }, + { + "epoch": 0.04, + "learning_rate": 1.9992834718331728e-05, + "loss": 0.9299, + "step": 218 + }, + { + "epoch": 0.04, + "learning_rate": 1.9992597894654997e-05, + "loss": 0.9154, + "step": 219 + }, + { + "epoch": 0.04, + "learning_rate": 1.9992357222102783e-05, + "loss": 0.9336, + "step": 220 + }, + { + "epoch": 0.04, + "learning_rate": 1.9992112700767787e-05, + "loss": 0.8964, + "step": 221 + }, + { + "epoch": 0.04, + "learning_rate": 1.999186433074419e-05, + "loss": 0.3319, + "step": 222 + }, + { + "epoch": 0.04, + "learning_rate": 1.9991612112127653e-05, + "loss": 0.9125, + "step": 223 + }, + { + "epoch": 0.04, + "learning_rate": 1.999135604501533e-05, + "loss": 0.9458, + "step": 224 + }, + { + "epoch": 0.04, + "learning_rate": 1.999109612950585e-05, + "loss": 0.9302, + "step": 225 + }, + { + "epoch": 0.04, + "learning_rate": 1.9990832365699325e-05, + "loss": 0.3517, + "step": 226 + }, + { + "epoch": 0.04, + "learning_rate": 1.9990564753697346e-05, + "loss": 0.919, + "step": 227 + }, + { + "epoch": 0.04, + "learning_rate": 1.9990293293602993e-05, + "loss": 0.8665, + "step": 228 + }, + { + "epoch": 0.04, + "learning_rate": 1.9990017985520825e-05, + "loss": 1.01, + "step": 229 + }, + { + "epoch": 0.04, + "learning_rate": 1.9989738829556886e-05, + "loss": 0.9086, + "step": 230 + }, + { + "epoch": 0.04, + "learning_rate": 1.998945582581869e-05, + "loss": 0.9422, + "step": 231 + }, + { + "epoch": 0.04, + "learning_rate": 1.998916897441525e-05, + "loss": 0.9649, + "step": 232 + }, + { + "epoch": 0.04, + "learning_rate": 1.9988878275457057e-05, + "loss": 0.9966, + "step": 233 + }, + { + "epoch": 0.04, + "learning_rate": 1.998858372905607e-05, + "loss": 0.8985, + "step": 234 + }, + { + "epoch": 0.05, + "learning_rate": 1.9988285335325746e-05, + "loss": 0.9567, + "step": 235 + }, + { + "epoch": 0.05, + "learning_rate": 1.9987983094381018e-05, + "loss": 0.3233, + "step": 236 + }, + { + "epoch": 0.05, + "learning_rate": 1.9987677006338302e-05, + "loss": 0.9746, + "step": 237 + }, + { + "epoch": 0.05, + "learning_rate": 1.9987367071315493e-05, + "loss": 0.3156, + "step": 238 + }, + { + "epoch": 0.05, + "learning_rate": 1.9987053289431966e-05, + "loss": 0.9913, + "step": 239 + }, + { + "epoch": 0.05, + "learning_rate": 1.9986735660808585e-05, + "loss": 1.0082, + "step": 240 + }, + { + "epoch": 0.05, + "learning_rate": 1.9986414185567694e-05, + "loss": 1.0044, + "step": 241 + }, + { + "epoch": 0.05, + "learning_rate": 1.9986088863833113e-05, + "loss": 0.9654, + "step": 242 + }, + { + "epoch": 0.05, + "learning_rate": 1.9985759695730148e-05, + "loss": 0.8713, + "step": 243 + }, + { + "epoch": 0.05, + "learning_rate": 1.9985426681385586e-05, + "loss": 0.9318, + "step": 244 + }, + { + "epoch": 0.05, + "learning_rate": 1.9985089820927693e-05, + "loss": 0.8832, + "step": 245 + }, + { + "epoch": 0.05, + "learning_rate": 1.9984749114486223e-05, + "loss": 0.9314, + "step": 246 + }, + { + "epoch": 0.05, + "learning_rate": 1.99844045621924e-05, + "loss": 0.8988, + "step": 247 + }, + { + "epoch": 0.05, + "learning_rate": 1.9984056164178943e-05, + "loss": 0.9598, + "step": 248 + }, + { + "epoch": 0.05, + "learning_rate": 1.998370392058004e-05, + "loss": 0.9589, + "step": 249 + }, + { + "epoch": 0.05, + "learning_rate": 1.998334783153137e-05, + "loss": 0.9116, + "step": 250 + }, + { + "epoch": 0.05, + "learning_rate": 1.9982987897170084e-05, + "loss": 0.935, + "step": 251 + }, + { + "epoch": 0.05, + "learning_rate": 1.9982624117634824e-05, + "loss": 0.8893, + "step": 252 + }, + { + "epoch": 0.05, + "learning_rate": 1.9982256493065708e-05, + "loss": 0.9705, + "step": 253 + }, + { + "epoch": 0.05, + "learning_rate": 1.998188502360433e-05, + "loss": 0.9541, + "step": 254 + }, + { + "epoch": 0.05, + "learning_rate": 1.9981509709393772e-05, + "loss": 0.9288, + "step": 255 + }, + { + "epoch": 0.05, + "learning_rate": 1.9981130550578595e-05, + "loss": 0.8691, + "step": 256 + }, + { + "epoch": 0.05, + "learning_rate": 1.9980747547304842e-05, + "loss": 0.9576, + "step": 257 + }, + { + "epoch": 0.05, + "learning_rate": 1.9980360699720033e-05, + "loss": 0.8873, + "step": 258 + }, + { + "epoch": 0.05, + "learning_rate": 1.997997000797317e-05, + "loss": 0.9118, + "step": 259 + }, + { + "epoch": 0.05, + "learning_rate": 1.9979575472214745e-05, + "loss": 0.9573, + "step": 260 + }, + { + "epoch": 0.05, + "learning_rate": 1.9979177092596714e-05, + "loss": 0.9549, + "step": 261 + }, + { + "epoch": 0.05, + "learning_rate": 1.997877486927252e-05, + "loss": 0.9364, + "step": 262 + }, + { + "epoch": 0.05, + "learning_rate": 1.9978368802397097e-05, + "loss": 0.9032, + "step": 263 + }, + { + "epoch": 0.05, + "learning_rate": 1.9977958892126846e-05, + "loss": 0.902, + "step": 264 + }, + { + "epoch": 0.05, + "learning_rate": 1.9977545138619655e-05, + "loss": 0.8418, + "step": 265 + }, + { + "epoch": 0.05, + "learning_rate": 1.9977127542034885e-05, + "loss": 0.913, + "step": 266 + }, + { + "epoch": 0.05, + "learning_rate": 1.9976706102533394e-05, + "loss": 0.9252, + "step": 267 + }, + { + "epoch": 0.05, + "learning_rate": 1.9976280820277496e-05, + "loss": 0.935, + "step": 268 + }, + { + "epoch": 0.05, + "learning_rate": 1.9975851695431006e-05, + "loss": 0.9031, + "step": 269 + }, + { + "epoch": 0.05, + "learning_rate": 1.997541872815921e-05, + "loss": 0.9456, + "step": 270 + }, + { + "epoch": 0.05, + "learning_rate": 1.9974981918628877e-05, + "loss": 0.9675, + "step": 271 + }, + { + "epoch": 0.05, + "learning_rate": 1.997454126700825e-05, + "loss": 0.882, + "step": 272 + }, + { + "epoch": 0.05, + "learning_rate": 1.9974096773467056e-05, + "loss": 0.9307, + "step": 273 + }, + { + "epoch": 0.05, + "learning_rate": 1.9973648438176502e-05, + "loss": 0.8898, + "step": 274 + }, + { + "epoch": 0.05, + "learning_rate": 1.9973196261309277e-05, + "loss": 0.9409, + "step": 275 + }, + { + "epoch": 0.05, + "learning_rate": 1.997274024303955e-05, + "loss": 0.9191, + "step": 276 + }, + { + "epoch": 0.05, + "learning_rate": 1.997228038354296e-05, + "loss": 0.9915, + "step": 277 + }, + { + "epoch": 0.05, + "learning_rate": 1.9971816682996633e-05, + "loss": 0.9111, + "step": 278 + }, + { + "epoch": 0.05, + "learning_rate": 1.997134914157918e-05, + "loss": 0.9453, + "step": 279 + }, + { + "epoch": 0.05, + "learning_rate": 1.997087775947068e-05, + "loss": 0.9188, + "step": 280 + }, + { + "epoch": 0.05, + "learning_rate": 1.9970402536852694e-05, + "loss": 0.9532, + "step": 281 + }, + { + "epoch": 0.05, + "learning_rate": 1.996992347390827e-05, + "loss": 0.9132, + "step": 282 + }, + { + "epoch": 0.05, + "learning_rate": 1.996944057082193e-05, + "loss": 0.9519, + "step": 283 + }, + { + "epoch": 0.05, + "learning_rate": 1.9968953827779674e-05, + "loss": 0.9854, + "step": 284 + }, + { + "epoch": 0.05, + "learning_rate": 1.996846324496898e-05, + "loss": 0.9255, + "step": 285 + }, + { + "epoch": 0.05, + "learning_rate": 1.996796882257881e-05, + "loss": 0.9299, + "step": 286 + }, + { + "epoch": 0.05, + "learning_rate": 1.9967470560799595e-05, + "loss": 0.8973, + "step": 287 + }, + { + "epoch": 0.06, + "learning_rate": 1.9966968459823263e-05, + "loss": 0.9531, + "step": 288 + }, + { + "epoch": 0.06, + "learning_rate": 1.99664625198432e-05, + "loss": 0.3551, + "step": 289 + }, + { + "epoch": 0.06, + "learning_rate": 1.996595274105429e-05, + "loss": 0.9993, + "step": 290 + }, + { + "epoch": 0.06, + "learning_rate": 1.9965439123652875e-05, + "loss": 0.8408, + "step": 291 + }, + { + "epoch": 0.06, + "learning_rate": 1.996492166783679e-05, + "loss": 0.333, + "step": 292 + }, + { + "epoch": 0.06, + "learning_rate": 1.996440037380535e-05, + "loss": 0.9584, + "step": 293 + }, + { + "epoch": 0.06, + "learning_rate": 1.996387524175934e-05, + "loss": 0.9072, + "step": 294 + }, + { + "epoch": 0.06, + "learning_rate": 1.9963346271901023e-05, + "loss": 0.9146, + "step": 295 + }, + { + "epoch": 0.06, + "learning_rate": 1.996281346443415e-05, + "loss": 0.9643, + "step": 296 + }, + { + "epoch": 0.06, + "learning_rate": 1.9962276819563934e-05, + "loss": 0.2999, + "step": 297 + }, + { + "epoch": 0.06, + "learning_rate": 1.9961736337497087e-05, + "loss": 0.977, + "step": 298 + }, + { + "epoch": 0.06, + "learning_rate": 1.9961192018441784e-05, + "loss": 0.937, + "step": 299 + }, + { + "epoch": 0.06, + "learning_rate": 1.9960643862607682e-05, + "loss": 0.9439, + "step": 300 + }, + { + "epoch": 0.06, + "learning_rate": 1.996009187020591e-05, + "loss": 0.9135, + "step": 301 + }, + { + "epoch": 0.06, + "learning_rate": 1.995953604144909e-05, + "loss": 0.9486, + "step": 302 + }, + { + "epoch": 0.06, + "learning_rate": 1.9958976376551303e-05, + "loss": 0.8768, + "step": 303 + }, + { + "epoch": 0.06, + "learning_rate": 1.9958412875728124e-05, + "loss": 0.9877, + "step": 304 + }, + { + "epoch": 0.06, + "learning_rate": 1.9957845539196594e-05, + "loss": 1.0084, + "step": 305 + }, + { + "epoch": 0.06, + "learning_rate": 1.9957274367175235e-05, + "loss": 0.9374, + "step": 306 + }, + { + "epoch": 0.06, + "learning_rate": 1.995669935988405e-05, + "loss": 0.9898, + "step": 307 + }, + { + "epoch": 0.06, + "learning_rate": 1.9956120517544515e-05, + "loss": 0.9469, + "step": 308 + }, + { + "epoch": 0.06, + "learning_rate": 1.9955537840379585e-05, + "loss": 0.9033, + "step": 309 + }, + { + "epoch": 0.06, + "learning_rate": 1.9954951328613686e-05, + "loss": 0.9429, + "step": 310 + }, + { + "epoch": 0.06, + "learning_rate": 1.9954360982472733e-05, + "loss": 0.8879, + "step": 311 + }, + { + "epoch": 0.06, + "learning_rate": 1.9953766802184107e-05, + "loss": 0.9743, + "step": 312 + }, + { + "epoch": 0.06, + "learning_rate": 1.995316878797667e-05, + "loss": 0.8553, + "step": 313 + }, + { + "epoch": 0.06, + "learning_rate": 1.9952566940080763e-05, + "loss": 0.9462, + "step": 314 + }, + { + "epoch": 0.06, + "learning_rate": 1.9951961258728204e-05, + "loss": 0.9989, + "step": 315 + }, + { + "epoch": 0.06, + "learning_rate": 1.9951351744152277e-05, + "loss": 0.9073, + "step": 316 + }, + { + "epoch": 0.06, + "learning_rate": 1.9950738396587757e-05, + "loss": 0.9228, + "step": 317 + }, + { + "epoch": 0.06, + "learning_rate": 1.9950121216270888e-05, + "loss": 0.8975, + "step": 318 + }, + { + "epoch": 0.06, + "learning_rate": 1.9949500203439387e-05, + "loss": 0.9547, + "step": 319 + }, + { + "epoch": 0.06, + "learning_rate": 1.9948875358332453e-05, + "loss": 0.8945, + "step": 320 + }, + { + "epoch": 0.06, + "learning_rate": 1.9948246681190763e-05, + "loss": 0.8997, + "step": 321 + }, + { + "epoch": 0.06, + "learning_rate": 1.9947614172256462e-05, + "loss": 0.9471, + "step": 322 + }, + { + "epoch": 0.06, + "learning_rate": 1.9946977831773172e-05, + "loss": 0.3598, + "step": 323 + }, + { + "epoch": 0.06, + "learning_rate": 1.9946337659986003e-05, + "loss": 0.9433, + "step": 324 + }, + { + "epoch": 0.06, + "learning_rate": 1.994569365714153e-05, + "loss": 0.3381, + "step": 325 + }, + { + "epoch": 0.06, + "learning_rate": 1.9945045823487796e-05, + "loss": 0.9287, + "step": 326 + }, + { + "epoch": 0.06, + "learning_rate": 1.9944394159274332e-05, + "loss": 0.9143, + "step": 327 + }, + { + "epoch": 0.06, + "learning_rate": 1.9943738664752152e-05, + "loss": 0.9181, + "step": 328 + }, + { + "epoch": 0.06, + "learning_rate": 1.9943079340173722e-05, + "loss": 0.9479, + "step": 329 + }, + { + "epoch": 0.06, + "learning_rate": 1.9942416185793002e-05, + "loss": 0.9085, + "step": 330 + }, + { + "epoch": 0.06, + "learning_rate": 1.994174920186542e-05, + "loss": 0.9278, + "step": 331 + }, + { + "epoch": 0.06, + "learning_rate": 1.9941078388647882e-05, + "loss": 0.9058, + "step": 332 + }, + { + "epoch": 0.06, + "learning_rate": 1.994040374639876e-05, + "loss": 0.9388, + "step": 333 + }, + { + "epoch": 0.06, + "learning_rate": 1.9939725275377912e-05, + "loss": 0.9401, + "step": 334 + }, + { + "epoch": 0.06, + "learning_rate": 1.993904297584667e-05, + "loss": 0.9268, + "step": 335 + }, + { + "epoch": 0.06, + "learning_rate": 1.9938356848067834e-05, + "loss": 0.9399, + "step": 336 + }, + { + "epoch": 0.06, + "learning_rate": 1.9937666892305677e-05, + "loss": 0.9124, + "step": 337 + }, + { + "epoch": 0.06, + "learning_rate": 1.9936973108825958e-05, + "loss": 0.8563, + "step": 338 + }, + { + "epoch": 0.06, + "learning_rate": 1.99362754978959e-05, + "loss": 0.865, + "step": 339 + }, + { + "epoch": 0.07, + "learning_rate": 1.9935574059784207e-05, + "loss": 0.9139, + "step": 340 + }, + { + "epoch": 0.07, + "learning_rate": 1.993486879476105e-05, + "loss": 0.955, + "step": 341 + }, + { + "epoch": 0.07, + "learning_rate": 1.993415970309808e-05, + "loss": 0.9104, + "step": 342 + }, + { + "epoch": 0.07, + "learning_rate": 1.993344678506842e-05, + "loss": 0.8579, + "step": 343 + }, + { + "epoch": 0.07, + "learning_rate": 1.993273004094666e-05, + "loss": 0.9448, + "step": 344 + }, + { + "epoch": 0.07, + "learning_rate": 1.993200947100888e-05, + "loss": 0.9091, + "step": 345 + }, + { + "epoch": 0.07, + "learning_rate": 1.9931285075532617e-05, + "loss": 0.9418, + "step": 346 + }, + { + "epoch": 0.07, + "learning_rate": 1.9930556854796893e-05, + "loss": 0.9002, + "step": 347 + }, + { + "epoch": 0.07, + "learning_rate": 1.9929824809082198e-05, + "loss": 0.9212, + "step": 348 + }, + { + "epoch": 0.07, + "learning_rate": 1.992908893867049e-05, + "loss": 0.8479, + "step": 349 + }, + { + "epoch": 0.07, + "learning_rate": 1.9928349243845215e-05, + "loss": 0.9584, + "step": 350 + }, + { + "epoch": 0.07, + "learning_rate": 1.9927605724891276e-05, + "loss": 0.8921, + "step": 351 + }, + { + "epoch": 0.07, + "learning_rate": 1.9926858382095064e-05, + "loss": 0.9317, + "step": 352 + }, + { + "epoch": 0.07, + "learning_rate": 1.9926107215744423e-05, + "loss": 0.3518, + "step": 353 + }, + { + "epoch": 0.07, + "learning_rate": 1.9925352226128692e-05, + "loss": 0.8981, + "step": 354 + }, + { + "epoch": 0.07, + "learning_rate": 1.992459341353867e-05, + "loss": 0.9068, + "step": 355 + }, + { + "epoch": 0.07, + "learning_rate": 1.9923830778266628e-05, + "loss": 0.9546, + "step": 356 + }, + { + "epoch": 0.07, + "learning_rate": 1.9923064320606315e-05, + "loss": 0.8937, + "step": 357 + }, + { + "epoch": 0.07, + "learning_rate": 1.9922294040852952e-05, + "loss": 0.9045, + "step": 358 + }, + { + "epoch": 0.07, + "learning_rate": 1.9921519939303225e-05, + "loss": 0.9518, + "step": 359 + }, + { + "epoch": 0.07, + "learning_rate": 1.9920742016255293e-05, + "loss": 0.8674, + "step": 360 + }, + { + "epoch": 0.07, + "learning_rate": 1.99199602720088e-05, + "loss": 0.9727, + "step": 361 + }, + { + "epoch": 0.07, + "learning_rate": 1.9919174706864854e-05, + "loss": 0.9544, + "step": 362 + }, + { + "epoch": 0.07, + "learning_rate": 1.991838532112602e-05, + "loss": 0.9708, + "step": 363 + }, + { + "epoch": 0.07, + "learning_rate": 1.9917592115096357e-05, + "loss": 0.8702, + "step": 364 + }, + { + "epoch": 0.07, + "learning_rate": 1.991679508908139e-05, + "loss": 0.9496, + "step": 365 + }, + { + "epoch": 0.07, + "learning_rate": 1.9915994243388098e-05, + "loss": 0.9131, + "step": 366 + }, + { + "epoch": 0.07, + "learning_rate": 1.9915189578324957e-05, + "loss": 0.9018, + "step": 367 + }, + { + "epoch": 0.07, + "learning_rate": 1.99143810942019e-05, + "loss": 0.3125, + "step": 368 + }, + { + "epoch": 0.07, + "learning_rate": 1.9913568791330334e-05, + "loss": 0.9647, + "step": 369 + }, + { + "epoch": 0.07, + "learning_rate": 1.9912752670023128e-05, + "loss": 0.3269, + "step": 370 + }, + { + "epoch": 0.07, + "learning_rate": 1.9911932730594637e-05, + "loss": 0.9091, + "step": 371 + }, + { + "epoch": 0.07, + "learning_rate": 1.9911108973360673e-05, + "loss": 0.9582, + "step": 372 + }, + { + "epoch": 0.07, + "learning_rate": 1.9910281398638533e-05, + "loss": 0.9381, + "step": 373 + }, + { + "epoch": 0.07, + "learning_rate": 1.990945000674697e-05, + "loss": 0.9347, + "step": 374 + }, + { + "epoch": 0.07, + "learning_rate": 1.9908614798006215e-05, + "loss": 0.9514, + "step": 375 + }, + { + "epoch": 0.07, + "learning_rate": 1.990777577273797e-05, + "loss": 0.9486, + "step": 376 + }, + { + "epoch": 0.07, + "learning_rate": 1.99069329312654e-05, + "loss": 0.904, + "step": 377 + }, + { + "epoch": 0.07, + "learning_rate": 1.990608627391315e-05, + "loss": 0.9566, + "step": 378 + }, + { + "epoch": 0.07, + "learning_rate": 1.990523580100732e-05, + "loss": 0.9163, + "step": 379 + }, + { + "epoch": 0.07, + "learning_rate": 1.9904381512875502e-05, + "loss": 0.8795, + "step": 380 + }, + { + "epoch": 0.07, + "learning_rate": 1.9903523409846734e-05, + "loss": 0.8923, + "step": 381 + }, + { + "epoch": 0.07, + "learning_rate": 1.990266149225154e-05, + "loss": 0.9333, + "step": 382 + }, + { + "epoch": 0.07, + "learning_rate": 1.99017957604219e-05, + "loss": 0.866, + "step": 383 + }, + { + "epoch": 0.07, + "learning_rate": 1.990092621469128e-05, + "loss": 0.8881, + "step": 384 + }, + { + "epoch": 0.07, + "learning_rate": 1.9900052855394597e-05, + "loss": 0.9208, + "step": 385 + }, + { + "epoch": 0.07, + "learning_rate": 1.9899175682868247e-05, + "loss": 0.8656, + "step": 386 + }, + { + "epoch": 0.07, + "learning_rate": 1.9898294697450096e-05, + "loss": 0.9517, + "step": 387 + }, + { + "epoch": 0.07, + "learning_rate": 1.989740989947947e-05, + "loss": 0.8891, + "step": 388 + }, + { + "epoch": 0.07, + "learning_rate": 1.9896521289297177e-05, + "loss": 1.0017, + "step": 389 + }, + { + "epoch": 0.07, + "learning_rate": 1.989562886724548e-05, + "loss": 0.8946, + "step": 390 + }, + { + "epoch": 0.07, + "learning_rate": 1.9894732633668115e-05, + "loss": 0.9068, + "step": 391 + }, + { + "epoch": 0.08, + "learning_rate": 1.989383258891029e-05, + "loss": 0.9166, + "step": 392 + }, + { + "epoch": 0.08, + "learning_rate": 1.9892928733318673e-05, + "loss": 0.9332, + "step": 393 + }, + { + "epoch": 0.08, + "learning_rate": 1.989202106724141e-05, + "loss": 0.9213, + "step": 394 + }, + { + "epoch": 0.08, + "learning_rate": 1.9891109591028103e-05, + "loss": 0.9072, + "step": 395 + }, + { + "epoch": 0.08, + "learning_rate": 1.989019430502983e-05, + "loss": 0.3188, + "step": 396 + }, + { + "epoch": 0.08, + "learning_rate": 1.988927520959914e-05, + "loss": 0.8988, + "step": 397 + }, + { + "epoch": 0.08, + "learning_rate": 1.9888352305090035e-05, + "loss": 0.8463, + "step": 398 + }, + { + "epoch": 0.08, + "learning_rate": 1.9887425591857998e-05, + "loss": 0.9195, + "step": 399 + }, + { + "epoch": 0.08, + "learning_rate": 1.988649507025997e-05, + "loss": 0.9281, + "step": 400 + }, + { + "epoch": 0.08, + "learning_rate": 1.9885560740654363e-05, + "loss": 0.9379, + "step": 401 + }, + { + "epoch": 0.08, + "learning_rate": 1.9884622603401057e-05, + "loss": 0.9191, + "step": 402 + }, + { + "epoch": 0.08, + "learning_rate": 1.9883680658861396e-05, + "loss": 0.9622, + "step": 403 + }, + { + "epoch": 0.08, + "learning_rate": 1.9882734907398195e-05, + "loss": 0.969, + "step": 404 + }, + { + "epoch": 0.08, + "learning_rate": 1.9881785349375726e-05, + "loss": 0.9307, + "step": 405 + }, + { + "epoch": 0.08, + "learning_rate": 1.9880831985159737e-05, + "loss": 1.0092, + "step": 406 + }, + { + "epoch": 0.08, + "learning_rate": 1.987987481511743e-05, + "loss": 0.9557, + "step": 407 + }, + { + "epoch": 0.08, + "learning_rate": 1.987891383961749e-05, + "loss": 0.9071, + "step": 408 + }, + { + "epoch": 0.08, + "learning_rate": 1.9877949059030057e-05, + "loss": 0.9074, + "step": 409 + }, + { + "epoch": 0.08, + "learning_rate": 1.9876980473726735e-05, + "loss": 0.9325, + "step": 410 + }, + { + "epoch": 0.08, + "learning_rate": 1.9876008084080596e-05, + "loss": 0.895, + "step": 411 + }, + { + "epoch": 0.08, + "learning_rate": 1.9875031890466178e-05, + "loss": 0.9499, + "step": 412 + }, + { + "epoch": 0.08, + "learning_rate": 1.987405189325949e-05, + "loss": 0.8957, + "step": 413 + }, + { + "epoch": 0.08, + "learning_rate": 1.9873068092837996e-05, + "loss": 0.9367, + "step": 414 + }, + { + "epoch": 0.08, + "learning_rate": 1.9872080489580626e-05, + "loss": 0.8805, + "step": 415 + }, + { + "epoch": 0.08, + "learning_rate": 1.9871089083867778e-05, + "loss": 0.8866, + "step": 416 + }, + { + "epoch": 0.08, + "learning_rate": 1.987009387608132e-05, + "loss": 0.9427, + "step": 417 + }, + { + "epoch": 0.08, + "learning_rate": 1.9869094866604578e-05, + "loss": 0.8993, + "step": 418 + }, + { + "epoch": 0.08, + "learning_rate": 1.9868092055822336e-05, + "loss": 0.9356, + "step": 419 + }, + { + "epoch": 0.08, + "learning_rate": 1.9867085444120856e-05, + "loss": 0.9178, + "step": 420 + }, + { + "epoch": 0.08, + "learning_rate": 1.9866075031887857e-05, + "loss": 0.3202, + "step": 421 + }, + { + "epoch": 0.08, + "learning_rate": 1.986506081951252e-05, + "loss": 0.9024, + "step": 422 + }, + { + "epoch": 0.08, + "learning_rate": 1.986404280738549e-05, + "loss": 0.8822, + "step": 423 + }, + { + "epoch": 0.08, + "learning_rate": 1.9863020995898883e-05, + "loss": 0.9095, + "step": 424 + }, + { + "epoch": 0.08, + "learning_rate": 1.986199538544627e-05, + "loss": 0.9039, + "step": 425 + }, + { + "epoch": 0.08, + "learning_rate": 1.9860965976422688e-05, + "loss": 0.967, + "step": 426 + }, + { + "epoch": 0.08, + "learning_rate": 1.9859932769224633e-05, + "loss": 0.8819, + "step": 427 + }, + { + "epoch": 0.08, + "learning_rate": 1.9858895764250073e-05, + "loss": 0.9906, + "step": 428 + }, + { + "epoch": 0.08, + "learning_rate": 1.9857854961898437e-05, + "loss": 0.9182, + "step": 429 + }, + { + "epoch": 0.08, + "learning_rate": 1.9856810362570607e-05, + "loss": 0.9358, + "step": 430 + }, + { + "epoch": 0.08, + "learning_rate": 1.985576196666894e-05, + "loss": 0.8966, + "step": 431 + }, + { + "epoch": 0.08, + "learning_rate": 1.9854709774597244e-05, + "loss": 0.918, + "step": 432 + }, + { + "epoch": 0.08, + "learning_rate": 1.9853653786760797e-05, + "loss": 0.8698, + "step": 433 + }, + { + "epoch": 0.08, + "learning_rate": 1.9852594003566338e-05, + "loss": 0.2925, + "step": 434 + }, + { + "epoch": 0.08, + "learning_rate": 1.9851530425422064e-05, + "loss": 0.9207, + "step": 435 + }, + { + "epoch": 0.08, + "learning_rate": 1.9850463052737635e-05, + "loss": 0.9033, + "step": 436 + }, + { + "epoch": 0.08, + "learning_rate": 1.984939188592418e-05, + "loss": 0.9068, + "step": 437 + }, + { + "epoch": 0.08, + "learning_rate": 1.9848316925394274e-05, + "loss": 0.3187, + "step": 438 + }, + { + "epoch": 0.08, + "learning_rate": 1.9847238171561972e-05, + "loss": 0.9173, + "step": 439 + }, + { + "epoch": 0.08, + "learning_rate": 1.9846155624842778e-05, + "loss": 0.9428, + "step": 440 + }, + { + "epoch": 0.08, + "learning_rate": 1.9845069285653655e-05, + "loss": 0.9499, + "step": 441 + }, + { + "epoch": 0.08, + "learning_rate": 1.9843979154413033e-05, + "loss": 0.8619, + "step": 442 + }, + { + "epoch": 0.08, + "learning_rate": 1.9842885231540805e-05, + "loss": 0.9636, + "step": 443 + }, + { + "epoch": 0.09, + "learning_rate": 1.984178751745831e-05, + "loss": 0.9691, + "step": 444 + }, + { + "epoch": 0.09, + "learning_rate": 1.984068601258837e-05, + "loss": 0.8153, + "step": 445 + }, + { + "epoch": 0.09, + "learning_rate": 1.9839580717355246e-05, + "loss": 0.9337, + "step": 446 + }, + { + "epoch": 0.09, + "learning_rate": 1.9838471632184674e-05, + "loss": 0.9382, + "step": 447 + }, + { + "epoch": 0.09, + "learning_rate": 1.9837358757503834e-05, + "loss": 0.8865, + "step": 448 + }, + { + "epoch": 0.09, + "learning_rate": 1.9836242093741383e-05, + "loss": 0.9512, + "step": 449 + }, + { + "epoch": 0.09, + "learning_rate": 1.9835121641327425e-05, + "loss": 0.8537, + "step": 450 + }, + { + "epoch": 0.09, + "learning_rate": 1.9833997400693532e-05, + "loss": 0.8735, + "step": 451 + }, + { + "epoch": 0.09, + "learning_rate": 1.9832869372272728e-05, + "loss": 0.9371, + "step": 452 + }, + { + "epoch": 0.09, + "learning_rate": 1.9831737556499498e-05, + "loss": 0.2988, + "step": 453 + }, + { + "epoch": 0.09, + "learning_rate": 1.9830601953809787e-05, + "loss": 0.9048, + "step": 454 + }, + { + "epoch": 0.09, + "learning_rate": 1.9829462564640995e-05, + "loss": 0.7987, + "step": 455 + }, + { + "epoch": 0.09, + "learning_rate": 1.9828319389431993e-05, + "loss": 0.9212, + "step": 456 + }, + { + "epoch": 0.09, + "learning_rate": 1.9827172428623092e-05, + "loss": 0.952, + "step": 457 + }, + { + "epoch": 0.09, + "learning_rate": 1.982602168265607e-05, + "loss": 0.8868, + "step": 458 + }, + { + "epoch": 0.09, + "learning_rate": 1.982486715197417e-05, + "loss": 0.3167, + "step": 459 + }, + { + "epoch": 0.09, + "learning_rate": 1.9823708837022078e-05, + "loss": 0.9299, + "step": 460 + }, + { + "epoch": 0.09, + "learning_rate": 1.9822546738245952e-05, + "loss": 0.9639, + "step": 461 + }, + { + "epoch": 0.09, + "learning_rate": 1.9821380856093393e-05, + "loss": 0.8911, + "step": 462 + }, + { + "epoch": 0.09, + "learning_rate": 1.9820211191013475e-05, + "loss": 0.9218, + "step": 463 + }, + { + "epoch": 0.09, + "learning_rate": 1.9819037743456714e-05, + "loss": 0.937, + "step": 464 + }, + { + "epoch": 0.09, + "learning_rate": 1.9817860513875095e-05, + "loss": 0.8579, + "step": 465 + }, + { + "epoch": 0.09, + "learning_rate": 1.9816679502722052e-05, + "loss": 0.9147, + "step": 466 + }, + { + "epoch": 0.09, + "learning_rate": 1.9815494710452476e-05, + "loss": 0.8411, + "step": 467 + }, + { + "epoch": 0.09, + "learning_rate": 1.9814306137522722e-05, + "loss": 0.8997, + "step": 468 + }, + { + "epoch": 0.09, + "learning_rate": 1.9813113784390596e-05, + "loss": 0.3109, + "step": 469 + }, + { + "epoch": 0.09, + "learning_rate": 1.9811917651515357e-05, + "loss": 0.885, + "step": 470 + }, + { + "epoch": 0.09, + "learning_rate": 1.9810717739357716e-05, + "loss": 0.9692, + "step": 471 + }, + { + "epoch": 0.09, + "learning_rate": 1.9809514048379858e-05, + "loss": 0.9431, + "step": 472 + }, + { + "epoch": 0.09, + "learning_rate": 1.9808306579045405e-05, + "loss": 0.325, + "step": 473 + }, + { + "epoch": 0.09, + "learning_rate": 1.9807095331819447e-05, + "loss": 0.8917, + "step": 474 + }, + { + "epoch": 0.09, + "learning_rate": 1.9805880307168514e-05, + "loss": 0.8557, + "step": 475 + }, + { + "epoch": 0.09, + "learning_rate": 1.980466150556061e-05, + "loss": 0.8967, + "step": 476 + }, + { + "epoch": 0.09, + "learning_rate": 1.9803438927465178e-05, + "loss": 0.9197, + "step": 477 + }, + { + "epoch": 0.09, + "learning_rate": 1.9802212573353127e-05, + "loss": 0.8994, + "step": 478 + }, + { + "epoch": 0.09, + "learning_rate": 1.9800982443696806e-05, + "loss": 0.8577, + "step": 479 + }, + { + "epoch": 0.09, + "learning_rate": 1.9799748538970033e-05, + "loss": 0.926, + "step": 480 + }, + { + "epoch": 0.09, + "learning_rate": 1.9798510859648078e-05, + "loss": 0.8629, + "step": 481 + }, + { + "epoch": 0.09, + "learning_rate": 1.9797269406207653e-05, + "loss": 0.8456, + "step": 482 + }, + { + "epoch": 0.09, + "learning_rate": 1.979602417912694e-05, + "loss": 0.9036, + "step": 483 + }, + { + "epoch": 0.09, + "learning_rate": 1.9794775178885563e-05, + "loss": 0.9132, + "step": 484 + }, + { + "epoch": 0.09, + "learning_rate": 1.97935224059646e-05, + "loss": 0.9051, + "step": 485 + }, + { + "epoch": 0.09, + "learning_rate": 1.979226586084659e-05, + "loss": 0.9347, + "step": 486 + }, + { + "epoch": 0.09, + "learning_rate": 1.9791005544015514e-05, + "loss": 0.8434, + "step": 487 + }, + { + "epoch": 0.09, + "learning_rate": 1.9789741455956816e-05, + "loss": 0.9368, + "step": 488 + }, + { + "epoch": 0.09, + "learning_rate": 1.9788473597157386e-05, + "loss": 0.93, + "step": 489 + }, + { + "epoch": 0.09, + "learning_rate": 1.9787201968105572e-05, + "loss": 0.3468, + "step": 490 + }, + { + "epoch": 0.09, + "learning_rate": 1.9785926569291167e-05, + "loss": 0.8969, + "step": 491 + }, + { + "epoch": 0.09, + "learning_rate": 1.978464740120542e-05, + "loss": 0.9004, + "step": 492 + }, + { + "epoch": 0.09, + "learning_rate": 1.978336446434103e-05, + "loss": 0.8207, + "step": 493 + }, + { + "epoch": 0.09, + "learning_rate": 1.9782077759192156e-05, + "loss": 0.9423, + "step": 494 + }, + { + "epoch": 0.09, + "learning_rate": 1.9780787286254398e-05, + "loss": 0.8552, + "step": 495 + }, + { + "epoch": 0.1, + "learning_rate": 1.977949304602481e-05, + "loss": 0.9354, + "step": 496 + }, + { + "epoch": 0.1, + "learning_rate": 1.9778195039001896e-05, + "loss": 0.9379, + "step": 497 + }, + { + "epoch": 0.1, + "learning_rate": 1.9776893265685614e-05, + "loss": 0.901, + "step": 498 + }, + { + "epoch": 0.1, + "learning_rate": 1.9775587726577376e-05, + "loss": 0.8791, + "step": 499 + }, + { + "epoch": 0.1, + "learning_rate": 1.9774278422180036e-05, + "loss": 0.8753, + "step": 500 + }, + { + "epoch": 0.1, + "learning_rate": 1.97729653529979e-05, + "loss": 0.917, + "step": 501 + }, + { + "epoch": 0.1, + "learning_rate": 1.9771648519536732e-05, + "loss": 0.9289, + "step": 502 + }, + { + "epoch": 0.1, + "learning_rate": 1.9770327922303734e-05, + "loss": 0.9079, + "step": 503 + }, + { + "epoch": 0.1, + "learning_rate": 1.976900356180757e-05, + "loss": 0.9245, + "step": 504 + }, + { + "epoch": 0.1, + "learning_rate": 1.976767543855834e-05, + "loss": 0.895, + "step": 505 + }, + { + "epoch": 0.1, + "learning_rate": 1.9766343553067613e-05, + "loss": 0.9837, + "step": 506 + }, + { + "epoch": 0.1, + "learning_rate": 1.9765007905848385e-05, + "loss": 0.9168, + "step": 507 + }, + { + "epoch": 0.1, + "learning_rate": 1.976366849741511e-05, + "loss": 0.8101, + "step": 508 + }, + { + "epoch": 0.1, + "learning_rate": 1.9762325328283696e-05, + "loss": 0.9557, + "step": 509 + }, + { + "epoch": 0.1, + "learning_rate": 1.9760978398971494e-05, + "loss": 0.8708, + "step": 510 + }, + { + "epoch": 0.1, + "learning_rate": 1.9759627709997304e-05, + "loss": 0.9222, + "step": 511 + }, + { + "epoch": 0.1, + "learning_rate": 1.9758273261881374e-05, + "loss": 0.9144, + "step": 512 + }, + { + "epoch": 0.1, + "learning_rate": 1.97569150551454e-05, + "loss": 0.9212, + "step": 513 + }, + { + "epoch": 0.1, + "learning_rate": 1.975555309031253e-05, + "loss": 0.9178, + "step": 514 + }, + { + "epoch": 0.1, + "learning_rate": 1.975418736790735e-05, + "loss": 0.9443, + "step": 515 + }, + { + "epoch": 0.1, + "learning_rate": 1.9752817888455902e-05, + "loss": 0.9116, + "step": 516 + }, + { + "epoch": 0.1, + "learning_rate": 1.975144465248567e-05, + "loss": 0.8079, + "step": 517 + }, + { + "epoch": 0.1, + "learning_rate": 1.9750067660525595e-05, + "loss": 0.8682, + "step": 518 + }, + { + "epoch": 0.1, + "learning_rate": 1.9748686913106045e-05, + "loss": 0.9114, + "step": 519 + }, + { + "epoch": 0.1, + "learning_rate": 1.9747302410758848e-05, + "loss": 0.9191, + "step": 520 + }, + { + "epoch": 0.1, + "learning_rate": 1.9745914154017283e-05, + "loss": 0.3243, + "step": 521 + }, + { + "epoch": 0.1, + "learning_rate": 1.974452214341607e-05, + "loss": 0.8777, + "step": 522 + }, + { + "epoch": 0.1, + "learning_rate": 1.9743126379491362e-05, + "loss": 0.8667, + "step": 523 + }, + { + "epoch": 0.1, + "learning_rate": 1.974172686278078e-05, + "loss": 0.8679, + "step": 524 + }, + { + "epoch": 0.1, + "learning_rate": 1.9740323593823372e-05, + "loss": 0.9189, + "step": 525 + }, + { + "epoch": 0.1, + "learning_rate": 1.9738916573159642e-05, + "loss": 0.8975, + "step": 526 + }, + { + "epoch": 0.1, + "learning_rate": 1.973750580133154e-05, + "loss": 0.9036, + "step": 527 + }, + { + "epoch": 0.1, + "learning_rate": 1.973609127888245e-05, + "loss": 0.8903, + "step": 528 + }, + { + "epoch": 0.1, + "learning_rate": 1.973467300635721e-05, + "loss": 0.9119, + "step": 529 + }, + { + "epoch": 0.1, + "learning_rate": 1.97332509843021e-05, + "loss": 0.9015, + "step": 530 + }, + { + "epoch": 0.1, + "learning_rate": 1.9731825213264846e-05, + "loss": 0.9309, + "step": 531 + }, + { + "epoch": 0.1, + "learning_rate": 1.9730395693794614e-05, + "loss": 0.8498, + "step": 532 + }, + { + "epoch": 0.1, + "learning_rate": 1.9728962426442013e-05, + "loss": 0.8641, + "step": 533 + }, + { + "epoch": 0.1, + "learning_rate": 1.9727525411759103e-05, + "loss": 0.9108, + "step": 534 + }, + { + "epoch": 0.1, + "learning_rate": 1.972608465029938e-05, + "loss": 0.898, + "step": 535 + }, + { + "epoch": 0.1, + "learning_rate": 1.9724640142617787e-05, + "loss": 0.8834, + "step": 536 + }, + { + "epoch": 0.1, + "learning_rate": 1.972319188927071e-05, + "loss": 0.8886, + "step": 537 + }, + { + "epoch": 0.1, + "learning_rate": 1.9721739890815973e-05, + "loss": 0.8224, + "step": 538 + }, + { + "epoch": 0.1, + "learning_rate": 1.972028414781285e-05, + "loss": 0.8429, + "step": 539 + }, + { + "epoch": 0.1, + "learning_rate": 1.9718824660822055e-05, + "loss": 0.8977, + "step": 540 + }, + { + "epoch": 0.1, + "learning_rate": 1.9717361430405733e-05, + "loss": 0.8886, + "step": 541 + }, + { + "epoch": 0.1, + "learning_rate": 1.9715894457127492e-05, + "loss": 0.8928, + "step": 542 + }, + { + "epoch": 0.1, + "learning_rate": 1.9714423741552363e-05, + "loss": 0.905, + "step": 543 + }, + { + "epoch": 0.1, + "learning_rate": 1.9712949284246828e-05, + "loss": 0.9225, + "step": 544 + }, + { + "epoch": 0.1, + "learning_rate": 1.9711471085778803e-05, + "loss": 0.8363, + "step": 545 + }, + { + "epoch": 0.1, + "learning_rate": 1.970998914671766e-05, + "loss": 0.942, + "step": 546 + }, + { + "epoch": 0.1, + "learning_rate": 1.970850346763419e-05, + "loss": 0.9257, + "step": 547 + }, + { + "epoch": 0.1, + "learning_rate": 1.9707014049100638e-05, + "loss": 0.9417, + "step": 548 + }, + { + "epoch": 0.11, + "learning_rate": 1.9705520891690697e-05, + "loss": 0.9491, + "step": 549 + }, + { + "epoch": 0.11, + "learning_rate": 1.970402399597948e-05, + "loss": 0.9377, + "step": 550 + }, + { + "epoch": 0.11, + "learning_rate": 1.9702523362543552e-05, + "loss": 0.8922, + "step": 551 + }, + { + "epoch": 0.11, + "learning_rate": 1.970101899196092e-05, + "loss": 0.9315, + "step": 552 + }, + { + "epoch": 0.11, + "learning_rate": 1.969951088481102e-05, + "loss": 0.9599, + "step": 553 + }, + { + "epoch": 0.11, + "learning_rate": 1.9697999041674743e-05, + "loss": 0.8443, + "step": 554 + }, + { + "epoch": 0.11, + "learning_rate": 1.9696483463134404e-05, + "loss": 0.8992, + "step": 555 + }, + { + "epoch": 0.11, + "learning_rate": 1.969496414977376e-05, + "loss": 0.8729, + "step": 556 + }, + { + "epoch": 0.11, + "learning_rate": 1.9693441102178014e-05, + "loss": 0.935, + "step": 557 + }, + { + "epoch": 0.11, + "learning_rate": 1.96919143209338e-05, + "loss": 0.8892, + "step": 558 + }, + { + "epoch": 0.11, + "learning_rate": 1.9690383806629195e-05, + "loss": 0.9115, + "step": 559 + }, + { + "epoch": 0.11, + "learning_rate": 1.9688849559853702e-05, + "loss": 0.3094, + "step": 560 + }, + { + "epoch": 0.11, + "learning_rate": 1.9687311581198284e-05, + "loss": 0.8451, + "step": 561 + }, + { + "epoch": 0.11, + "learning_rate": 1.9685769871255317e-05, + "loss": 0.9365, + "step": 562 + }, + { + "epoch": 0.11, + "learning_rate": 1.9684224430618634e-05, + "loss": 0.9442, + "step": 563 + }, + { + "epoch": 0.11, + "learning_rate": 1.968267525988349e-05, + "loss": 0.9021, + "step": 564 + }, + { + "epoch": 0.11, + "learning_rate": 1.968112235964659e-05, + "loss": 0.8988, + "step": 565 + }, + { + "epoch": 0.11, + "learning_rate": 1.9679565730506064e-05, + "loss": 0.8953, + "step": 566 + }, + { + "epoch": 0.11, + "learning_rate": 1.967800537306148e-05, + "loss": 0.9058, + "step": 567 + }, + { + "epoch": 0.11, + "learning_rate": 1.9676441287913853e-05, + "loss": 0.9303, + "step": 568 + }, + { + "epoch": 0.11, + "learning_rate": 1.967487347566562e-05, + "loss": 0.8024, + "step": 569 + }, + { + "epoch": 0.11, + "learning_rate": 1.9673301936920663e-05, + "loss": 0.8637, + "step": 570 + }, + { + "epoch": 0.11, + "learning_rate": 1.9671726672284288e-05, + "loss": 0.916, + "step": 571 + }, + { + "epoch": 0.11, + "learning_rate": 1.9670147682363256e-05, + "loss": 0.935, + "step": 572 + }, + { + "epoch": 0.11, + "learning_rate": 1.9668564967765742e-05, + "loss": 0.8979, + "step": 573 + }, + { + "epoch": 0.11, + "learning_rate": 1.9666978529101366e-05, + "loss": 0.8825, + "step": 574 + }, + { + "epoch": 0.11, + "learning_rate": 1.9665388366981185e-05, + "loss": 0.9397, + "step": 575 + }, + { + "epoch": 0.11, + "learning_rate": 1.9663794482017678e-05, + "loss": 0.8938, + "step": 576 + }, + { + "epoch": 0.11, + "learning_rate": 1.9662196874824774e-05, + "loss": 0.8918, + "step": 577 + }, + { + "epoch": 0.11, + "learning_rate": 1.9660595546017823e-05, + "loss": 0.9367, + "step": 578 + }, + { + "epoch": 0.11, + "learning_rate": 1.9658990496213614e-05, + "loss": 0.894, + "step": 579 + }, + { + "epoch": 0.11, + "learning_rate": 1.9657381726030368e-05, + "loss": 0.9356, + "step": 580 + }, + { + "epoch": 0.11, + "learning_rate": 1.965576923608774e-05, + "loss": 0.8951, + "step": 581 + }, + { + "epoch": 0.11, + "learning_rate": 1.965415302700682e-05, + "loss": 0.8767, + "step": 582 + }, + { + "epoch": 0.11, + "learning_rate": 1.9652533099410123e-05, + "loss": 0.8713, + "step": 583 + }, + { + "epoch": 0.11, + "learning_rate": 1.96509094539216e-05, + "loss": 0.8856, + "step": 584 + }, + { + "epoch": 0.11, + "learning_rate": 1.9649282091166636e-05, + "loss": 0.8921, + "step": 585 + }, + { + "epoch": 0.11, + "learning_rate": 1.9647651011772055e-05, + "loss": 0.9273, + "step": 586 + }, + { + "epoch": 0.11, + "learning_rate": 1.9646016216366088e-05, + "loss": 0.8438, + "step": 587 + }, + { + "epoch": 0.11, + "learning_rate": 1.9644377705578426e-05, + "loss": 0.3687, + "step": 588 + }, + { + "epoch": 0.11, + "learning_rate": 1.9642735480040175e-05, + "loss": 0.8798, + "step": 589 + }, + { + "epoch": 0.11, + "learning_rate": 1.9641089540383877e-05, + "loss": 0.9165, + "step": 590 + }, + { + "epoch": 0.11, + "learning_rate": 1.96394398872435e-05, + "loss": 0.8559, + "step": 591 + }, + { + "epoch": 0.11, + "learning_rate": 1.9637786521254445e-05, + "loss": 0.3438, + "step": 592 + }, + { + "epoch": 0.11, + "learning_rate": 1.9636129443053545e-05, + "loss": 0.9098, + "step": 593 + }, + { + "epoch": 0.11, + "learning_rate": 1.9634468653279062e-05, + "loss": 0.8783, + "step": 594 + }, + { + "epoch": 0.11, + "learning_rate": 1.9632804152570685e-05, + "loss": 0.9063, + "step": 595 + }, + { + "epoch": 0.11, + "learning_rate": 1.963113594156954e-05, + "loss": 0.9107, + "step": 596 + }, + { + "epoch": 0.11, + "learning_rate": 1.9629464020918164e-05, + "loss": 0.8861, + "step": 597 + }, + { + "epoch": 0.11, + "learning_rate": 1.9627788391260547e-05, + "loss": 0.8373, + "step": 598 + }, + { + "epoch": 0.11, + "learning_rate": 1.9626109053242092e-05, + "loss": 0.9228, + "step": 599 + }, + { + "epoch": 0.11, + "learning_rate": 1.962442600750963e-05, + "loss": 0.8539, + "step": 600 + }, + { + "epoch": 0.12, + "learning_rate": 1.962273925471143e-05, + "loss": 0.8463, + "step": 601 + }, + { + "epoch": 0.12, + "learning_rate": 1.962104879549718e-05, + "loss": 0.8747, + "step": 602 + }, + { + "epoch": 0.12, + "learning_rate": 1.9619354630518e-05, + "loss": 0.8932, + "step": 603 + }, + { + "epoch": 0.12, + "learning_rate": 1.961765676042643e-05, + "loss": 0.8929, + "step": 604 + }, + { + "epoch": 0.12, + "learning_rate": 1.9615955185876454e-05, + "loss": 0.8738, + "step": 605 + }, + { + "epoch": 0.12, + "learning_rate": 1.9614249907523466e-05, + "loss": 0.9454, + "step": 606 + }, + { + "epoch": 0.12, + "learning_rate": 1.961254092602429e-05, + "loss": 0.8918, + "step": 607 + }, + { + "epoch": 0.12, + "learning_rate": 1.9610828242037187e-05, + "loss": 0.8847, + "step": 608 + }, + { + "epoch": 0.12, + "learning_rate": 1.9609111856221827e-05, + "loss": 0.882, + "step": 609 + }, + { + "epoch": 0.12, + "learning_rate": 1.9607391769239317e-05, + "loss": 0.8603, + "step": 610 + }, + { + "epoch": 0.12, + "learning_rate": 1.9605667981752193e-05, + "loss": 0.9063, + "step": 611 + }, + { + "epoch": 0.12, + "learning_rate": 1.9603940494424404e-05, + "loss": 0.9393, + "step": 612 + }, + { + "epoch": 0.12, + "learning_rate": 1.9602209307921336e-05, + "loss": 0.8417, + "step": 613 + }, + { + "epoch": 0.12, + "learning_rate": 1.9600474422909793e-05, + "loss": 0.9007, + "step": 614 + }, + { + "epoch": 0.12, + "learning_rate": 1.9598735840058002e-05, + "loss": 0.8706, + "step": 615 + }, + { + "epoch": 0.12, + "learning_rate": 1.9596993560035623e-05, + "loss": 0.9105, + "step": 616 + }, + { + "epoch": 0.12, + "learning_rate": 1.9595247583513733e-05, + "loss": 0.9187, + "step": 617 + }, + { + "epoch": 0.12, + "learning_rate": 1.9593497911164834e-05, + "loss": 0.92, + "step": 618 + }, + { + "epoch": 0.12, + "learning_rate": 1.959174454366285e-05, + "loss": 0.9307, + "step": 619 + }, + { + "epoch": 0.12, + "learning_rate": 1.9589987481683132e-05, + "loss": 0.8687, + "step": 620 + }, + { + "epoch": 0.12, + "learning_rate": 1.9588226725902453e-05, + "loss": 0.8595, + "step": 621 + }, + { + "epoch": 0.12, + "learning_rate": 1.9586462276999004e-05, + "loss": 0.9091, + "step": 622 + }, + { + "epoch": 0.12, + "learning_rate": 1.958469413565241e-05, + "loss": 0.927, + "step": 623 + }, + { + "epoch": 0.12, + "learning_rate": 1.95829223025437e-05, + "loss": 0.9223, + "step": 624 + }, + { + "epoch": 0.12, + "learning_rate": 1.9581146778355347e-05, + "loss": 0.902, + "step": 625 + }, + { + "epoch": 0.12, + "learning_rate": 1.957936756377123e-05, + "loss": 0.8921, + "step": 626 + }, + { + "epoch": 0.12, + "learning_rate": 1.9577584659476647e-05, + "loss": 0.3509, + "step": 627 + }, + { + "epoch": 0.12, + "learning_rate": 1.9575798066158336e-05, + "loss": 0.8688, + "step": 628 + }, + { + "epoch": 0.12, + "learning_rate": 1.9574007784504435e-05, + "loss": 0.897, + "step": 629 + }, + { + "epoch": 0.12, + "learning_rate": 1.9572213815204516e-05, + "loss": 0.9038, + "step": 630 + }, + { + "epoch": 0.12, + "learning_rate": 1.9570416158949563e-05, + "loss": 0.9068, + "step": 631 + }, + { + "epoch": 0.12, + "learning_rate": 1.9568614816431987e-05, + "loss": 0.8645, + "step": 632 + }, + { + "epoch": 0.12, + "learning_rate": 1.9566809788345614e-05, + "loss": 0.9558, + "step": 633 + }, + { + "epoch": 0.12, + "learning_rate": 1.9565001075385698e-05, + "loss": 0.9507, + "step": 634 + }, + { + "epoch": 0.12, + "learning_rate": 1.9563188678248893e-05, + "loss": 0.8758, + "step": 635 + }, + { + "epoch": 0.12, + "learning_rate": 1.95613725976333e-05, + "loss": 0.8902, + "step": 636 + }, + { + "epoch": 0.12, + "learning_rate": 1.955955283423841e-05, + "loss": 0.8704, + "step": 637 + }, + { + "epoch": 0.12, + "learning_rate": 1.9557729388765155e-05, + "loss": 0.9019, + "step": 638 + }, + { + "epoch": 0.12, + "learning_rate": 1.9555902261915875e-05, + "loss": 0.8704, + "step": 639 + }, + { + "epoch": 0.12, + "learning_rate": 1.9554071454394325e-05, + "loss": 0.8651, + "step": 640 + }, + { + "epoch": 0.12, + "learning_rate": 1.955223696690568e-05, + "loss": 0.8962, + "step": 641 + }, + { + "epoch": 0.12, + "learning_rate": 1.9550398800156548e-05, + "loss": 0.8604, + "step": 642 + }, + { + "epoch": 0.12, + "learning_rate": 1.9548556954854926e-05, + "loss": 0.858, + "step": 643 + }, + { + "epoch": 0.12, + "learning_rate": 1.9546711431710254e-05, + "loss": 0.8857, + "step": 644 + }, + { + "epoch": 0.12, + "learning_rate": 1.9544862231433365e-05, + "loss": 0.9059, + "step": 645 + }, + { + "epoch": 0.12, + "learning_rate": 1.9543009354736528e-05, + "loss": 0.9234, + "step": 646 + }, + { + "epoch": 0.12, + "learning_rate": 1.954115280233342e-05, + "loss": 0.9714, + "step": 647 + }, + { + "epoch": 0.12, + "learning_rate": 1.953929257493913e-05, + "loss": 0.8651, + "step": 648 + }, + { + "epoch": 0.12, + "learning_rate": 1.9537428673270176e-05, + "loss": 0.8977, + "step": 649 + }, + { + "epoch": 0.12, + "learning_rate": 1.953556109804447e-05, + "loss": 0.8978, + "step": 650 + }, + { + "epoch": 0.12, + "learning_rate": 1.953368984998136e-05, + "loss": 0.9374, + "step": 651 + }, + { + "epoch": 0.12, + "learning_rate": 1.9531814929801595e-05, + "loss": 0.8724, + "step": 652 + }, + { + "epoch": 0.13, + "learning_rate": 1.9529936338227346e-05, + "loss": 0.8712, + "step": 653 + }, + { + "epoch": 0.13, + "learning_rate": 1.9528054075982194e-05, + "loss": 0.8435, + "step": 654 + }, + { + "epoch": 0.13, + "learning_rate": 1.9526168143791133e-05, + "loss": 0.9022, + "step": 655 + }, + { + "epoch": 0.13, + "learning_rate": 1.9524278542380575e-05, + "loss": 0.9211, + "step": 656 + }, + { + "epoch": 0.13, + "learning_rate": 1.952238527247834e-05, + "loss": 0.9207, + "step": 657 + }, + { + "epoch": 0.13, + "learning_rate": 1.9520488334813667e-05, + "loss": 0.8502, + "step": 658 + }, + { + "epoch": 0.13, + "learning_rate": 1.95185877301172e-05, + "loss": 0.9078, + "step": 659 + }, + { + "epoch": 0.13, + "learning_rate": 1.9516683459121008e-05, + "loss": 0.8572, + "step": 660 + }, + { + "epoch": 0.13, + "learning_rate": 1.9514775522558555e-05, + "loss": 0.8908, + "step": 661 + }, + { + "epoch": 0.13, + "learning_rate": 1.951286392116473e-05, + "loss": 0.8749, + "step": 662 + }, + { + "epoch": 0.13, + "learning_rate": 1.9510948655675836e-05, + "loss": 0.8596, + "step": 663 + }, + { + "epoch": 0.13, + "learning_rate": 1.950902972682957e-05, + "loss": 0.9243, + "step": 664 + }, + { + "epoch": 0.13, + "learning_rate": 1.950710713536505e-05, + "loss": 0.8833, + "step": 665 + }, + { + "epoch": 0.13, + "learning_rate": 1.9505180882022817e-05, + "loss": 0.887, + "step": 666 + }, + { + "epoch": 0.13, + "learning_rate": 1.950325096754481e-05, + "loss": 0.8433, + "step": 667 + }, + { + "epoch": 0.13, + "learning_rate": 1.9501317392674366e-05, + "loss": 0.9222, + "step": 668 + }, + { + "epoch": 0.13, + "learning_rate": 1.9499380158156258e-05, + "loss": 0.9427, + "step": 669 + }, + { + "epoch": 0.13, + "learning_rate": 1.9497439264736652e-05, + "loss": 0.9299, + "step": 670 + }, + { + "epoch": 0.13, + "learning_rate": 1.9495494713163127e-05, + "loss": 0.838, + "step": 671 + }, + { + "epoch": 0.13, + "learning_rate": 1.9493546504184668e-05, + "loss": 0.8633, + "step": 672 + }, + { + "epoch": 0.13, + "learning_rate": 1.9491594638551676e-05, + "loss": 0.8829, + "step": 673 + }, + { + "epoch": 0.13, + "learning_rate": 1.9489639117015956e-05, + "loss": 0.853, + "step": 674 + }, + { + "epoch": 0.13, + "learning_rate": 1.948767994033072e-05, + "loss": 0.9269, + "step": 675 + }, + { + "epoch": 0.13, + "learning_rate": 1.948571710925059e-05, + "loss": 0.8509, + "step": 676 + }, + { + "epoch": 0.13, + "learning_rate": 1.9483750624531593e-05, + "loss": 0.918, + "step": 677 + }, + { + "epoch": 0.13, + "learning_rate": 1.9481780486931163e-05, + "loss": 0.9035, + "step": 678 + }, + { + "epoch": 0.13, + "learning_rate": 1.9479806697208153e-05, + "loss": 0.8899, + "step": 679 + }, + { + "epoch": 0.13, + "learning_rate": 1.9477829256122805e-05, + "loss": 0.8972, + "step": 680 + }, + { + "epoch": 0.13, + "learning_rate": 1.947584816443677e-05, + "loss": 0.8977, + "step": 681 + }, + { + "epoch": 0.13, + "learning_rate": 1.9473863422913127e-05, + "loss": 0.8562, + "step": 682 + }, + { + "epoch": 0.13, + "learning_rate": 1.947187503231633e-05, + "loss": 0.8455, + "step": 683 + }, + { + "epoch": 0.13, + "learning_rate": 1.9469882993412257e-05, + "loss": 0.889, + "step": 684 + }, + { + "epoch": 0.13, + "learning_rate": 1.9467887306968187e-05, + "loss": 0.8959, + "step": 685 + }, + { + "epoch": 0.13, + "learning_rate": 1.9465887973752804e-05, + "loss": 0.9442, + "step": 686 + }, + { + "epoch": 0.13, + "learning_rate": 1.9463884994536198e-05, + "loss": 0.8603, + "step": 687 + }, + { + "epoch": 0.13, + "learning_rate": 1.9461878370089854e-05, + "loss": 0.8946, + "step": 688 + }, + { + "epoch": 0.13, + "learning_rate": 1.9459868101186684e-05, + "loss": 0.8697, + "step": 689 + }, + { + "epoch": 0.13, + "learning_rate": 1.9457854188600972e-05, + "loss": 0.8943, + "step": 690 + }, + { + "epoch": 0.13, + "learning_rate": 1.9455836633108433e-05, + "loss": 0.8439, + "step": 691 + }, + { + "epoch": 0.13, + "learning_rate": 1.9453815435486168e-05, + "loss": 0.8546, + "step": 692 + }, + { + "epoch": 0.13, + "learning_rate": 1.9451790596512696e-05, + "loss": 0.8958, + "step": 693 + }, + { + "epoch": 0.13, + "learning_rate": 1.9449762116967915e-05, + "loss": 0.8726, + "step": 694 + }, + { + "epoch": 0.13, + "learning_rate": 1.9447729997633155e-05, + "loss": 0.8878, + "step": 695 + }, + { + "epoch": 0.13, + "learning_rate": 1.9445694239291124e-05, + "loss": 0.8513, + "step": 696 + }, + { + "epoch": 0.13, + "learning_rate": 1.944365484272594e-05, + "loss": 0.8219, + "step": 697 + }, + { + "epoch": 0.13, + "learning_rate": 1.944161180872313e-05, + "loss": 0.8115, + "step": 698 + }, + { + "epoch": 0.13, + "learning_rate": 1.9439565138069606e-05, + "loss": 0.8122, + "step": 699 + }, + { + "epoch": 0.13, + "learning_rate": 1.9437514831553698e-05, + "loss": 0.9237, + "step": 700 + }, + { + "epoch": 0.13, + "learning_rate": 1.943546088996512e-05, + "loss": 0.891, + "step": 701 + }, + { + "epoch": 0.13, + "learning_rate": 1.9433403314095e-05, + "loss": 0.902, + "step": 702 + }, + { + "epoch": 0.13, + "learning_rate": 1.943134210473586e-05, + "loss": 0.8657, + "step": 703 + }, + { + "epoch": 0.13, + "learning_rate": 1.9429277262681615e-05, + "loss": 0.8747, + "step": 704 + }, + { + "epoch": 0.14, + "learning_rate": 1.942720878872759e-05, + "loss": 0.8083, + "step": 705 + }, + { + "epoch": 0.14, + "learning_rate": 1.942513668367051e-05, + "loss": 0.9538, + "step": 706 + }, + { + "epoch": 0.14, + "learning_rate": 1.9423060948308487e-05, + "loss": 0.8964, + "step": 707 + }, + { + "epoch": 0.14, + "learning_rate": 1.9420981583441035e-05, + "loss": 0.9404, + "step": 708 + }, + { + "epoch": 0.14, + "learning_rate": 1.941889858986907e-05, + "loss": 0.9023, + "step": 709 + }, + { + "epoch": 0.14, + "learning_rate": 1.941681196839491e-05, + "loss": 0.8842, + "step": 710 + }, + { + "epoch": 0.14, + "learning_rate": 1.941472171982226e-05, + "loss": 0.7933, + "step": 711 + }, + { + "epoch": 0.14, + "learning_rate": 1.9412627844956227e-05, + "loss": 0.9078, + "step": 712 + }, + { + "epoch": 0.14, + "learning_rate": 1.9410530344603312e-05, + "loss": 0.8435, + "step": 713 + }, + { + "epoch": 0.14, + "learning_rate": 1.9408429219571423e-05, + "loss": 0.8393, + "step": 714 + }, + { + "epoch": 0.14, + "learning_rate": 1.9406324470669846e-05, + "loss": 0.8812, + "step": 715 + }, + { + "epoch": 0.14, + "learning_rate": 1.940421609870928e-05, + "loss": 0.3442, + "step": 716 + }, + { + "epoch": 0.14, + "learning_rate": 1.9402104104501805e-05, + "loss": 0.8467, + "step": 717 + }, + { + "epoch": 0.14, + "learning_rate": 1.939998848886091e-05, + "loss": 0.9159, + "step": 718 + }, + { + "epoch": 0.14, + "learning_rate": 1.9397869252601472e-05, + "loss": 0.9648, + "step": 719 + }, + { + "epoch": 0.14, + "learning_rate": 1.9395746396539755e-05, + "loss": 0.9126, + "step": 720 + }, + { + "epoch": 0.14, + "learning_rate": 1.9393619921493437e-05, + "loss": 0.8767, + "step": 721 + }, + { + "epoch": 0.14, + "learning_rate": 1.939148982828157e-05, + "loss": 0.9391, + "step": 722 + }, + { + "epoch": 0.14, + "learning_rate": 1.938935611772461e-05, + "loss": 0.8197, + "step": 723 + }, + { + "epoch": 0.14, + "learning_rate": 1.93872187906444e-05, + "loss": 0.8985, + "step": 724 + }, + { + "epoch": 0.14, + "learning_rate": 1.938507784786419e-05, + "loss": 0.9148, + "step": 725 + }, + { + "epoch": 0.14, + "learning_rate": 1.9382933290208603e-05, + "loss": 0.8571, + "step": 726 + }, + { + "epoch": 0.14, + "learning_rate": 1.9380785118503668e-05, + "loss": 0.9604, + "step": 727 + }, + { + "epoch": 0.14, + "learning_rate": 1.93786333335768e-05, + "loss": 0.8707, + "step": 728 + }, + { + "epoch": 0.14, + "learning_rate": 1.9376477936256806e-05, + "loss": 0.8364, + "step": 729 + }, + { + "epoch": 0.14, + "learning_rate": 1.937431892737389e-05, + "loss": 0.3591, + "step": 730 + }, + { + "epoch": 0.14, + "learning_rate": 1.9372156307759647e-05, + "loss": 0.9173, + "step": 731 + }, + { + "epoch": 0.14, + "learning_rate": 1.936999007824705e-05, + "loss": 0.8693, + "step": 732 + }, + { + "epoch": 0.14, + "learning_rate": 1.9367820239670475e-05, + "loss": 0.871, + "step": 733 + }, + { + "epoch": 0.14, + "learning_rate": 1.9365646792865687e-05, + "loss": 0.9147, + "step": 734 + }, + { + "epoch": 0.14, + "learning_rate": 1.9363469738669834e-05, + "loss": 0.9281, + "step": 735 + }, + { + "epoch": 0.14, + "learning_rate": 1.9361289077921465e-05, + "loss": 0.9058, + "step": 736 + }, + { + "epoch": 0.14, + "learning_rate": 1.93591048114605e-05, + "loss": 0.3596, + "step": 737 + }, + { + "epoch": 0.14, + "learning_rate": 1.9356916940128266e-05, + "loss": 0.868, + "step": 738 + }, + { + "epoch": 0.14, + "learning_rate": 1.9354725464767474e-05, + "loss": 0.9623, + "step": 739 + }, + { + "epoch": 0.14, + "learning_rate": 1.935253038622221e-05, + "loss": 0.8398, + "step": 740 + }, + { + "epoch": 0.14, + "learning_rate": 1.9350331705337967e-05, + "loss": 0.9022, + "step": 741 + }, + { + "epoch": 0.14, + "learning_rate": 1.9348129422961618e-05, + "loss": 0.9387, + "step": 742 + }, + { + "epoch": 0.14, + "learning_rate": 1.9345923539941417e-05, + "loss": 0.9143, + "step": 743 + }, + { + "epoch": 0.14, + "learning_rate": 1.9343714057127006e-05, + "loss": 0.8683, + "step": 744 + }, + { + "epoch": 0.14, + "learning_rate": 1.9341500975369424e-05, + "loss": 0.8156, + "step": 745 + }, + { + "epoch": 0.14, + "learning_rate": 1.933928429552109e-05, + "loss": 0.9377, + "step": 746 + }, + { + "epoch": 0.14, + "learning_rate": 1.9337064018435807e-05, + "loss": 0.8444, + "step": 747 + }, + { + "epoch": 0.14, + "learning_rate": 1.9334840144968763e-05, + "loss": 0.8927, + "step": 748 + }, + { + "epoch": 0.14, + "learning_rate": 1.9332612675976536e-05, + "loss": 0.9055, + "step": 749 + }, + { + "epoch": 0.14, + "learning_rate": 1.933038161231708e-05, + "loss": 0.8373, + "step": 750 + }, + { + "epoch": 0.14, + "learning_rate": 1.932814695484975e-05, + "loss": 0.9296, + "step": 751 + }, + { + "epoch": 0.14, + "learning_rate": 1.932590870443527e-05, + "loss": 0.8299, + "step": 752 + }, + { + "epoch": 0.14, + "learning_rate": 1.932366686193575e-05, + "loss": 0.9071, + "step": 753 + }, + { + "epoch": 0.14, + "learning_rate": 1.9321421428214686e-05, + "loss": 0.9168, + "step": 754 + }, + { + "epoch": 0.14, + "learning_rate": 1.9319172404136963e-05, + "loss": 0.8579, + "step": 755 + }, + { + "epoch": 0.14, + "learning_rate": 1.9316919790568843e-05, + "loss": 0.9296, + "step": 756 + }, + { + "epoch": 0.15, + "learning_rate": 1.9314663588377968e-05, + "loss": 0.905, + "step": 757 + }, + { + "epoch": 0.15, + "learning_rate": 1.9312403798433364e-05, + "loss": 0.8699, + "step": 758 + }, + { + "epoch": 0.15, + "learning_rate": 1.9310140421605445e-05, + "loss": 0.8675, + "step": 759 + }, + { + "epoch": 0.15, + "learning_rate": 1.9307873458766e-05, + "loss": 0.8975, + "step": 760 + }, + { + "epoch": 0.15, + "learning_rate": 1.93056029107882e-05, + "loss": 0.8292, + "step": 761 + }, + { + "epoch": 0.15, + "learning_rate": 1.9303328778546602e-05, + "loss": 0.8075, + "step": 762 + }, + { + "epoch": 0.15, + "learning_rate": 1.930105106291713e-05, + "loss": 0.8894, + "step": 763 + }, + { + "epoch": 0.15, + "learning_rate": 1.929876976477711e-05, + "loss": 0.932, + "step": 764 + }, + { + "epoch": 0.15, + "learning_rate": 1.9296484885005228e-05, + "loss": 0.8368, + "step": 765 + }, + { + "epoch": 0.15, + "learning_rate": 1.929419642448156e-05, + "loss": 0.878, + "step": 766 + }, + { + "epoch": 0.15, + "learning_rate": 1.9291904384087556e-05, + "loss": 0.9171, + "step": 767 + }, + { + "epoch": 0.15, + "learning_rate": 1.9289608764706052e-05, + "loss": 0.9109, + "step": 768 + }, + { + "epoch": 0.15, + "learning_rate": 1.928730956722125e-05, + "loss": 0.9037, + "step": 769 + }, + { + "epoch": 0.15, + "learning_rate": 1.9285006792518746e-05, + "loss": 0.9206, + "step": 770 + }, + { + "epoch": 0.15, + "learning_rate": 1.92827004414855e-05, + "loss": 0.8324, + "step": 771 + }, + { + "epoch": 0.15, + "learning_rate": 1.928039051500986e-05, + "loss": 0.9214, + "step": 772 + }, + { + "epoch": 0.15, + "learning_rate": 1.927807701398154e-05, + "loss": 0.8884, + "step": 773 + }, + { + "epoch": 0.15, + "learning_rate": 1.9275759939291648e-05, + "loss": 0.3489, + "step": 774 + }, + { + "epoch": 0.15, + "learning_rate": 1.9273439291832646e-05, + "loss": 0.9288, + "step": 775 + }, + { + "epoch": 0.15, + "learning_rate": 1.927111507249839e-05, + "loss": 0.8751, + "step": 776 + }, + { + "epoch": 0.15, + "learning_rate": 1.926878728218411e-05, + "loss": 0.8884, + "step": 777 + }, + { + "epoch": 0.15, + "learning_rate": 1.92664559217864e-05, + "loss": 0.8728, + "step": 778 + }, + { + "epoch": 0.15, + "learning_rate": 1.9264120992203236e-05, + "loss": 0.8624, + "step": 779 + }, + { + "epoch": 0.15, + "learning_rate": 1.9261782494333974e-05, + "loss": 0.9506, + "step": 780 + }, + { + "epoch": 0.15, + "learning_rate": 1.9259440429079335e-05, + "loss": 0.8998, + "step": 781 + }, + { + "epoch": 0.15, + "learning_rate": 1.9257094797341427e-05, + "loss": 0.8745, + "step": 782 + }, + { + "epoch": 0.15, + "learning_rate": 1.9254745600023713e-05, + "loss": 0.8582, + "step": 783 + }, + { + "epoch": 0.15, + "learning_rate": 1.925239283803104e-05, + "loss": 0.8915, + "step": 784 + }, + { + "epoch": 0.15, + "learning_rate": 1.9250036512269635e-05, + "loss": 0.8933, + "step": 785 + }, + { + "epoch": 0.15, + "learning_rate": 1.9247676623647086e-05, + "loss": 0.9122, + "step": 786 + }, + { + "epoch": 0.15, + "learning_rate": 1.9245313173072354e-05, + "loss": 0.8891, + "step": 787 + }, + { + "epoch": 0.15, + "learning_rate": 1.9242946161455783e-05, + "loss": 0.8412, + "step": 788 + }, + { + "epoch": 0.15, + "learning_rate": 1.924057558970908e-05, + "loss": 0.9168, + "step": 789 + }, + { + "epoch": 0.15, + "learning_rate": 1.9238201458745313e-05, + "loss": 0.9668, + "step": 790 + }, + { + "epoch": 0.15, + "learning_rate": 1.923582376947895e-05, + "loss": 0.7905, + "step": 791 + }, + { + "epoch": 0.15, + "learning_rate": 1.92334425228258e-05, + "loss": 0.9207, + "step": 792 + }, + { + "epoch": 0.15, + "learning_rate": 1.9231057719703057e-05, + "loss": 0.8761, + "step": 793 + }, + { + "epoch": 0.15, + "learning_rate": 1.922866936102928e-05, + "loss": 0.8969, + "step": 794 + }, + { + "epoch": 0.15, + "learning_rate": 1.9226277447724407e-05, + "loss": 0.9204, + "step": 795 + }, + { + "epoch": 0.15, + "learning_rate": 1.9223881980709727e-05, + "loss": 0.8907, + "step": 796 + }, + { + "epoch": 0.15, + "learning_rate": 1.9221482960907914e-05, + "loss": 0.8937, + "step": 797 + }, + { + "epoch": 0.15, + "learning_rate": 1.921908038924301e-05, + "loss": 0.8902, + "step": 798 + }, + { + "epoch": 0.15, + "learning_rate": 1.921667426664041e-05, + "loss": 0.8863, + "step": 799 + }, + { + "epoch": 0.15, + "learning_rate": 1.921426459402689e-05, + "loss": 0.8699, + "step": 800 + }, + { + "epoch": 0.15, + "learning_rate": 1.9211851372330595e-05, + "loss": 0.3846, + "step": 801 + }, + { + "epoch": 0.15, + "learning_rate": 1.9209434602481026e-05, + "loss": 0.9152, + "step": 802 + }, + { + "epoch": 0.15, + "learning_rate": 1.920701428540906e-05, + "loss": 0.8869, + "step": 803 + }, + { + "epoch": 0.15, + "learning_rate": 1.9204590422046934e-05, + "loss": 0.8779, + "step": 804 + }, + { + "epoch": 0.15, + "learning_rate": 1.9202163013328256e-05, + "loss": 0.9113, + "step": 805 + }, + { + "epoch": 0.15, + "learning_rate": 1.9199732060187996e-05, + "loss": 0.8402, + "step": 806 + }, + { + "epoch": 0.15, + "learning_rate": 1.9197297563562494e-05, + "loss": 0.8239, + "step": 807 + }, + { + "epoch": 0.15, + "learning_rate": 1.9194859524389447e-05, + "loss": 0.8852, + "step": 808 + }, + { + "epoch": 0.15, + "learning_rate": 1.9192417943607923e-05, + "loss": 0.8323, + "step": 809 + }, + { + "epoch": 0.16, + "learning_rate": 1.9189972822158355e-05, + "loss": 0.8614, + "step": 810 + }, + { + "epoch": 0.16, + "learning_rate": 1.9187524160982533e-05, + "loss": 0.9441, + "step": 811 + }, + { + "epoch": 0.16, + "learning_rate": 1.9185071961023617e-05, + "loss": 0.9202, + "step": 812 + }, + { + "epoch": 0.16, + "learning_rate": 1.9182616223226126e-05, + "loss": 0.9348, + "step": 813 + }, + { + "epoch": 0.16, + "learning_rate": 1.918015694853594e-05, + "loss": 0.9632, + "step": 814 + }, + { + "epoch": 0.16, + "learning_rate": 1.917769413790031e-05, + "loss": 0.8535, + "step": 815 + }, + { + "epoch": 0.16, + "learning_rate": 1.9175227792267842e-05, + "loss": 0.8741, + "step": 816 + }, + { + "epoch": 0.16, + "learning_rate": 1.91727579125885e-05, + "loss": 0.8579, + "step": 817 + }, + { + "epoch": 0.16, + "learning_rate": 1.9170284499813618e-05, + "loss": 0.8562, + "step": 818 + }, + { + "epoch": 0.16, + "learning_rate": 1.916780755489589e-05, + "loss": 0.8696, + "step": 819 + }, + { + "epoch": 0.16, + "learning_rate": 1.9165327078789363e-05, + "loss": 0.8856, + "step": 820 + }, + { + "epoch": 0.16, + "learning_rate": 1.916284307244945e-05, + "loss": 0.8638, + "step": 821 + }, + { + "epoch": 0.16, + "learning_rate": 1.916035553683292e-05, + "loss": 0.934, + "step": 822 + }, + { + "epoch": 0.16, + "learning_rate": 1.9157864472897908e-05, + "loss": 0.8846, + "step": 823 + }, + { + "epoch": 0.16, + "learning_rate": 1.9155369881603904e-05, + "loss": 0.9355, + "step": 824 + }, + { + "epoch": 0.16, + "learning_rate": 1.915287176391175e-05, + "loss": 0.9314, + "step": 825 + }, + { + "epoch": 0.16, + "learning_rate": 1.915037012078366e-05, + "loss": 0.8797, + "step": 826 + }, + { + "epoch": 0.16, + "learning_rate": 1.914786495318319e-05, + "loss": 0.842, + "step": 827 + }, + { + "epoch": 0.16, + "learning_rate": 1.914535626207527e-05, + "loss": 0.8951, + "step": 828 + }, + { + "epoch": 0.16, + "learning_rate": 1.9142844048426177e-05, + "loss": 0.8974, + "step": 829 + }, + { + "epoch": 0.16, + "learning_rate": 1.9140328313203548e-05, + "loss": 0.8831, + "step": 830 + }, + { + "epoch": 0.16, + "learning_rate": 1.913780905737637e-05, + "loss": 0.839, + "step": 831 + }, + { + "epoch": 0.16, + "learning_rate": 1.9135286281915e-05, + "loss": 0.8347, + "step": 832 + }, + { + "epoch": 0.16, + "learning_rate": 1.913275998779113e-05, + "loss": 0.8531, + "step": 833 + }, + { + "epoch": 0.16, + "learning_rate": 1.9130230175977834e-05, + "loss": 0.8285, + "step": 834 + }, + { + "epoch": 0.16, + "learning_rate": 1.9127696847449514e-05, + "loss": 0.9763, + "step": 835 + }, + { + "epoch": 0.16, + "learning_rate": 1.9125160003181945e-05, + "loss": 0.8365, + "step": 836 + }, + { + "epoch": 0.16, + "learning_rate": 1.912261964415225e-05, + "loss": 0.3607, + "step": 837 + }, + { + "epoch": 0.16, + "learning_rate": 1.9120075771338907e-05, + "loss": 0.8032, + "step": 838 + }, + { + "epoch": 0.16, + "learning_rate": 1.9117528385721743e-05, + "loss": 0.917, + "step": 839 + }, + { + "epoch": 0.16, + "learning_rate": 1.911497748828194e-05, + "loss": 0.8582, + "step": 840 + }, + { + "epoch": 0.16, + "learning_rate": 1.9112423080002038e-05, + "loss": 0.3755, + "step": 841 + }, + { + "epoch": 0.16, + "learning_rate": 1.9109865161865925e-05, + "loss": 0.9324, + "step": 842 + }, + { + "epoch": 0.16, + "learning_rate": 1.910730373485884e-05, + "loss": 0.8842, + "step": 843 + }, + { + "epoch": 0.16, + "learning_rate": 1.9104738799967373e-05, + "loss": 0.8945, + "step": 844 + }, + { + "epoch": 0.16, + "learning_rate": 1.910217035817947e-05, + "loss": 0.8526, + "step": 845 + }, + { + "epoch": 0.16, + "learning_rate": 1.9099598410484418e-05, + "loss": 0.8512, + "step": 846 + }, + { + "epoch": 0.16, + "learning_rate": 1.909702295787287e-05, + "loss": 0.8906, + "step": 847 + }, + { + "epoch": 0.16, + "learning_rate": 1.9094444001336813e-05, + "loss": 0.8598, + "step": 848 + }, + { + "epoch": 0.16, + "learning_rate": 1.9091861541869595e-05, + "loss": 0.8802, + "step": 849 + }, + { + "epoch": 0.16, + "learning_rate": 1.9089275580465907e-05, + "loss": 0.8232, + "step": 850 + }, + { + "epoch": 0.16, + "learning_rate": 1.908668611812179e-05, + "loss": 0.8873, + "step": 851 + }, + { + "epoch": 0.16, + "learning_rate": 1.9084093155834635e-05, + "loss": 0.8135, + "step": 852 + }, + { + "epoch": 0.16, + "learning_rate": 1.9081496694603178e-05, + "loss": 0.8323, + "step": 853 + }, + { + "epoch": 0.16, + "learning_rate": 1.907889673542751e-05, + "loss": 0.8687, + "step": 854 + }, + { + "epoch": 0.16, + "learning_rate": 1.9076293279309057e-05, + "loss": 0.8486, + "step": 855 + }, + { + "epoch": 0.16, + "learning_rate": 1.9073686327250605e-05, + "loss": 0.8516, + "step": 856 + }, + { + "epoch": 0.16, + "learning_rate": 1.907107588025628e-05, + "loss": 0.8589, + "step": 857 + }, + { + "epoch": 0.16, + "learning_rate": 1.906846193933155e-05, + "loss": 0.8518, + "step": 858 + }, + { + "epoch": 0.16, + "learning_rate": 1.906584450548324e-05, + "loss": 0.8624, + "step": 859 + }, + { + "epoch": 0.16, + "learning_rate": 1.9063223579719507e-05, + "loss": 0.8543, + "step": 860 + }, + { + "epoch": 0.16, + "learning_rate": 1.906059916304987e-05, + "loss": 0.8394, + "step": 861 + }, + { + "epoch": 0.17, + "learning_rate": 1.905797125648517e-05, + "loss": 0.8745, + "step": 862 + }, + { + "epoch": 0.17, + "learning_rate": 1.9055339861037618e-05, + "loss": 0.8195, + "step": 863 + }, + { + "epoch": 0.17, + "learning_rate": 1.905270497772074e-05, + "loss": 0.8981, + "step": 864 + }, + { + "epoch": 0.17, + "learning_rate": 1.9050066607549438e-05, + "loss": 0.8556, + "step": 865 + }, + { + "epoch": 0.17, + "learning_rate": 1.904742475153993e-05, + "loss": 0.8883, + "step": 866 + }, + { + "epoch": 0.17, + "learning_rate": 1.9044779410709786e-05, + "loss": 0.3586, + "step": 867 + }, + { + "epoch": 0.17, + "learning_rate": 1.9042130586077923e-05, + "loss": 0.9391, + "step": 868 + }, + { + "epoch": 0.17, + "learning_rate": 1.9039478278664593e-05, + "loss": 0.89, + "step": 869 + }, + { + "epoch": 0.17, + "learning_rate": 1.9036822489491396e-05, + "loss": 0.8317, + "step": 870 + }, + { + "epoch": 0.17, + "learning_rate": 1.9034163219581264e-05, + "loss": 0.9237, + "step": 871 + }, + { + "epoch": 0.17, + "learning_rate": 1.903150046995848e-05, + "loss": 0.9401, + "step": 872 + }, + { + "epoch": 0.17, + "learning_rate": 1.902883424164866e-05, + "loss": 0.9086, + "step": 873 + }, + { + "epoch": 0.17, + "learning_rate": 1.9026164535678763e-05, + "loss": 0.8851, + "step": 874 + }, + { + "epoch": 0.17, + "learning_rate": 1.9023491353077085e-05, + "loss": 0.843, + "step": 875 + }, + { + "epoch": 0.17, + "learning_rate": 1.9020814694873267e-05, + "loss": 0.9327, + "step": 876 + }, + { + "epoch": 0.17, + "learning_rate": 1.901813456209828e-05, + "loss": 0.7914, + "step": 877 + }, + { + "epoch": 0.17, + "learning_rate": 1.901545095578444e-05, + "loss": 0.8728, + "step": 878 + }, + { + "epoch": 0.17, + "learning_rate": 1.9012763876965395e-05, + "loss": 0.9161, + "step": 879 + }, + { + "epoch": 0.17, + "learning_rate": 1.901007332667614e-05, + "loss": 0.4126, + "step": 880 + }, + { + "epoch": 0.17, + "learning_rate": 1.9007379305953003e-05, + "loss": 0.969, + "step": 881 + }, + { + "epoch": 0.17, + "learning_rate": 1.900468181583364e-05, + "loss": 0.8231, + "step": 882 + }, + { + "epoch": 0.17, + "learning_rate": 1.9001980857357053e-05, + "loss": 0.8936, + "step": 883 + }, + { + "epoch": 0.17, + "learning_rate": 1.899927643156358e-05, + "loss": 0.8606, + "step": 884 + }, + { + "epoch": 0.17, + "learning_rate": 1.8996568539494887e-05, + "loss": 0.8276, + "step": 885 + }, + { + "epoch": 0.17, + "learning_rate": 1.8993857182193985e-05, + "loss": 0.8779, + "step": 886 + }, + { + "epoch": 0.17, + "learning_rate": 1.899114236070521e-05, + "loss": 0.8573, + "step": 887 + }, + { + "epoch": 0.17, + "learning_rate": 1.898842407607424e-05, + "loss": 0.8757, + "step": 888 + }, + { + "epoch": 0.17, + "learning_rate": 1.898570232934809e-05, + "loss": 0.8749, + "step": 889 + }, + { + "epoch": 0.17, + "learning_rate": 1.8982977121575088e-05, + "loss": 0.8899, + "step": 890 + }, + { + "epoch": 0.17, + "learning_rate": 1.8980248453804918e-05, + "loss": 0.8872, + "step": 891 + }, + { + "epoch": 0.17, + "learning_rate": 1.8977516327088592e-05, + "loss": 0.3744, + "step": 892 + }, + { + "epoch": 0.17, + "learning_rate": 1.8974780742478445e-05, + "loss": 0.826, + "step": 893 + }, + { + "epoch": 0.17, + "learning_rate": 1.897204170102815e-05, + "loss": 0.9123, + "step": 894 + }, + { + "epoch": 0.17, + "learning_rate": 1.8969299203792707e-05, + "loss": 0.8717, + "step": 895 + }, + { + "epoch": 0.17, + "learning_rate": 1.8966553251828462e-05, + "loss": 0.9436, + "step": 896 + }, + { + "epoch": 0.17, + "learning_rate": 1.896380384619307e-05, + "loss": 0.7949, + "step": 897 + }, + { + "epoch": 0.17, + "learning_rate": 1.896105098794553e-05, + "loss": 0.8444, + "step": 898 + }, + { + "epoch": 0.17, + "learning_rate": 1.8958294678146173e-05, + "loss": 0.8769, + "step": 899 + }, + { + "epoch": 0.17, + "learning_rate": 1.895553491785665e-05, + "loss": 0.3471, + "step": 900 + }, + { + "epoch": 0.17, + "learning_rate": 1.895277170813994e-05, + "loss": 0.8685, + "step": 901 + }, + { + "epoch": 0.17, + "learning_rate": 1.8950005050060362e-05, + "loss": 0.8559, + "step": 902 + }, + { + "epoch": 0.17, + "learning_rate": 1.8947234944683557e-05, + "loss": 0.8581, + "step": 903 + }, + { + "epoch": 0.17, + "learning_rate": 1.8944461393076493e-05, + "loss": 0.8504, + "step": 904 + }, + { + "epoch": 0.17, + "learning_rate": 1.8941684396307466e-05, + "loss": 0.9042, + "step": 905 + }, + { + "epoch": 0.17, + "learning_rate": 1.89389039554461e-05, + "loss": 0.8446, + "step": 906 + }, + { + "epoch": 0.17, + "learning_rate": 1.893612007156334e-05, + "loss": 0.321, + "step": 907 + }, + { + "epoch": 0.17, + "learning_rate": 1.893333274573147e-05, + "loss": 0.8741, + "step": 908 + }, + { + "epoch": 0.17, + "learning_rate": 1.8930541979024086e-05, + "loss": 0.8885, + "step": 909 + }, + { + "epoch": 0.17, + "learning_rate": 1.892774777251612e-05, + "loss": 0.8968, + "step": 910 + }, + { + "epoch": 0.17, + "learning_rate": 1.8924950127283813e-05, + "loss": 0.9258, + "step": 911 + }, + { + "epoch": 0.17, + "learning_rate": 1.8922149044404757e-05, + "loss": 0.8615, + "step": 912 + }, + { + "epoch": 0.17, + "learning_rate": 1.8919344524957838e-05, + "loss": 0.8419, + "step": 913 + }, + { + "epoch": 0.18, + "learning_rate": 1.891653657002329e-05, + "loss": 0.8629, + "step": 914 + }, + { + "epoch": 0.18, + "learning_rate": 1.8913725180682658e-05, + "loss": 0.8616, + "step": 915 + }, + { + "epoch": 0.18, + "learning_rate": 1.891091035801881e-05, + "loss": 0.842, + "step": 916 + }, + { + "epoch": 0.18, + "learning_rate": 1.8908092103115942e-05, + "loss": 0.3355, + "step": 917 + }, + { + "epoch": 0.18, + "learning_rate": 1.8905270417059563e-05, + "loss": 0.3299, + "step": 918 + }, + { + "epoch": 0.18, + "learning_rate": 1.8902445300936515e-05, + "loss": 0.8894, + "step": 919 + }, + { + "epoch": 0.18, + "learning_rate": 1.8899616755834954e-05, + "loss": 0.9292, + "step": 920 + }, + { + "epoch": 0.18, + "learning_rate": 1.8896784782844358e-05, + "loss": 0.9024, + "step": 921 + }, + { + "epoch": 0.18, + "learning_rate": 1.889394938305553e-05, + "loss": 0.8613, + "step": 922 + }, + { + "epoch": 0.18, + "learning_rate": 1.889111055756058e-05, + "loss": 0.7948, + "step": 923 + }, + { + "epoch": 0.18, + "learning_rate": 1.888826830745295e-05, + "loss": 0.8333, + "step": 924 + }, + { + "epoch": 0.18, + "learning_rate": 1.8885422633827396e-05, + "loss": 0.9777, + "step": 925 + }, + { + "epoch": 0.18, + "learning_rate": 1.8882573537779996e-05, + "loss": 0.9098, + "step": 926 + }, + { + "epoch": 0.18, + "learning_rate": 1.8879721020408143e-05, + "loss": 0.3215, + "step": 927 + }, + { + "epoch": 0.18, + "learning_rate": 1.887686508281055e-05, + "loss": 0.8015, + "step": 928 + }, + { + "epoch": 0.18, + "learning_rate": 1.8874005726087237e-05, + "loss": 0.8201, + "step": 929 + }, + { + "epoch": 0.18, + "learning_rate": 1.8871142951339564e-05, + "loss": 0.9115, + "step": 930 + }, + { + "epoch": 0.18, + "learning_rate": 1.8868276759670184e-05, + "loss": 0.9242, + "step": 931 + }, + { + "epoch": 0.18, + "learning_rate": 1.8865407152183082e-05, + "loss": 0.8665, + "step": 932 + }, + { + "epoch": 0.18, + "learning_rate": 1.8862534129983546e-05, + "loss": 0.8551, + "step": 933 + }, + { + "epoch": 0.18, + "learning_rate": 1.8859657694178192e-05, + "loss": 0.9014, + "step": 934 + }, + { + "epoch": 0.18, + "learning_rate": 1.8856777845874937e-05, + "loss": 0.8188, + "step": 935 + }, + { + "epoch": 0.18, + "learning_rate": 1.8853894586183025e-05, + "loss": 0.9154, + "step": 936 + }, + { + "epoch": 0.18, + "learning_rate": 1.8851007916213007e-05, + "loss": 0.87, + "step": 937 + }, + { + "epoch": 0.18, + "learning_rate": 1.8848117837076752e-05, + "loss": 0.3442, + "step": 938 + }, + { + "epoch": 0.18, + "learning_rate": 1.8845224349887433e-05, + "loss": 0.8265, + "step": 939 + }, + { + "epoch": 0.18, + "learning_rate": 1.8842327455759553e-05, + "loss": 0.3713, + "step": 940 + }, + { + "epoch": 0.18, + "learning_rate": 1.8839427155808904e-05, + "loss": 0.8434, + "step": 941 + }, + { + "epoch": 0.18, + "learning_rate": 1.8836523451152612e-05, + "loss": 0.8709, + "step": 942 + }, + { + "epoch": 0.18, + "learning_rate": 1.88336163429091e-05, + "loss": 0.9221, + "step": 943 + }, + { + "epoch": 0.18, + "learning_rate": 1.8830705832198107e-05, + "loss": 0.3455, + "step": 944 + }, + { + "epoch": 0.18, + "learning_rate": 1.882779192014068e-05, + "loss": 0.9341, + "step": 945 + }, + { + "epoch": 0.18, + "learning_rate": 1.8824874607859187e-05, + "loss": 0.8375, + "step": 946 + }, + { + "epoch": 0.18, + "learning_rate": 1.8821953896477288e-05, + "loss": 0.917, + "step": 947 + }, + { + "epoch": 0.18, + "learning_rate": 1.8819029787119962e-05, + "loss": 0.8343, + "step": 948 + }, + { + "epoch": 0.18, + "learning_rate": 1.8816102280913496e-05, + "loss": 0.8784, + "step": 949 + }, + { + "epoch": 0.18, + "learning_rate": 1.8813171378985494e-05, + "loss": 0.8484, + "step": 950 + }, + { + "epoch": 0.18, + "learning_rate": 1.8810237082464847e-05, + "loss": 0.8798, + "step": 951 + }, + { + "epoch": 0.18, + "learning_rate": 1.8807299392481772e-05, + "loss": 0.8641, + "step": 952 + }, + { + "epoch": 0.18, + "learning_rate": 1.880435831016779e-05, + "loss": 0.9236, + "step": 953 + }, + { + "epoch": 0.18, + "learning_rate": 1.8801413836655718e-05, + "loss": 0.8744, + "step": 954 + }, + { + "epoch": 0.18, + "learning_rate": 1.879846597307969e-05, + "loss": 0.8639, + "step": 955 + }, + { + "epoch": 0.18, + "learning_rate": 1.8795514720575145e-05, + "loss": 0.8586, + "step": 956 + }, + { + "epoch": 0.18, + "learning_rate": 1.8792560080278822e-05, + "loss": 0.8156, + "step": 957 + }, + { + "epoch": 0.18, + "learning_rate": 1.8789602053328767e-05, + "loss": 0.9123, + "step": 958 + }, + { + "epoch": 0.18, + "learning_rate": 1.8786640640864332e-05, + "loss": 0.8835, + "step": 959 + }, + { + "epoch": 0.18, + "learning_rate": 1.8783675844026176e-05, + "loss": 0.8085, + "step": 960 + }, + { + "epoch": 0.18, + "learning_rate": 1.878070766395625e-05, + "loss": 0.9003, + "step": 961 + }, + { + "epoch": 0.18, + "learning_rate": 1.8777736101797822e-05, + "loss": 0.8396, + "step": 962 + }, + { + "epoch": 0.18, + "learning_rate": 1.8774761158695453e-05, + "loss": 0.8631, + "step": 963 + }, + { + "epoch": 0.18, + "learning_rate": 1.8771782835795015e-05, + "loss": 0.8831, + "step": 964 + }, + { + "epoch": 0.18, + "learning_rate": 1.876880113424367e-05, + "loss": 0.9079, + "step": 965 + }, + { + "epoch": 0.19, + "learning_rate": 1.8765816055189888e-05, + "loss": 0.8738, + "step": 966 + }, + { + "epoch": 0.19, + "learning_rate": 1.8762827599783447e-05, + "loss": 0.3445, + "step": 967 + }, + { + "epoch": 0.19, + "learning_rate": 1.8759835769175412e-05, + "loss": 0.9434, + "step": 968 + }, + { + "epoch": 0.19, + "learning_rate": 1.8756840564518155e-05, + "loss": 0.8939, + "step": 969 + }, + { + "epoch": 0.19, + "learning_rate": 1.875384198696535e-05, + "loss": 0.9569, + "step": 970 + }, + { + "epoch": 0.19, + "learning_rate": 1.8750840037671963e-05, + "loss": 0.9374, + "step": 971 + }, + { + "epoch": 0.19, + "learning_rate": 1.8747834717794263e-05, + "loss": 0.8574, + "step": 972 + }, + { + "epoch": 0.19, + "learning_rate": 1.8744826028489823e-05, + "loss": 0.9074, + "step": 973 + }, + { + "epoch": 0.19, + "learning_rate": 1.8741813970917502e-05, + "loss": 0.8879, + "step": 974 + }, + { + "epoch": 0.19, + "learning_rate": 1.8738798546237465e-05, + "loss": 0.8896, + "step": 975 + }, + { + "epoch": 0.19, + "learning_rate": 1.8735779755611167e-05, + "loss": 0.8582, + "step": 976 + }, + { + "epoch": 0.19, + "learning_rate": 1.8732757600201374e-05, + "loss": 0.9164, + "step": 977 + }, + { + "epoch": 0.19, + "learning_rate": 1.872973208117212e-05, + "loss": 0.9406, + "step": 978 + }, + { + "epoch": 0.19, + "learning_rate": 1.8726703199688773e-05, + "loss": 0.858, + "step": 979 + }, + { + "epoch": 0.19, + "learning_rate": 1.8723670956917955e-05, + "loss": 0.823, + "step": 980 + }, + { + "epoch": 0.19, + "learning_rate": 1.872063535402762e-05, + "loss": 0.8245, + "step": 981 + }, + { + "epoch": 0.19, + "learning_rate": 1.871759639218699e-05, + "loss": 0.9159, + "step": 982 + }, + { + "epoch": 0.19, + "learning_rate": 1.8714554072566593e-05, + "loss": 0.3366, + "step": 983 + }, + { + "epoch": 0.19, + "learning_rate": 1.8711508396338246e-05, + "loss": 0.9103, + "step": 984 + }, + { + "epoch": 0.19, + "learning_rate": 1.870845936467506e-05, + "loss": 0.851, + "step": 985 + }, + { + "epoch": 0.19, + "learning_rate": 1.870540697875144e-05, + "loss": 0.8871, + "step": 986 + }, + { + "epoch": 0.19, + "learning_rate": 1.870235123974308e-05, + "loss": 0.8928, + "step": 987 + }, + { + "epoch": 0.19, + "learning_rate": 1.8699292148826972e-05, + "loss": 0.3364, + "step": 988 + }, + { + "epoch": 0.19, + "learning_rate": 1.8696229707181385e-05, + "loss": 0.8614, + "step": 989 + }, + { + "epoch": 0.19, + "learning_rate": 1.8693163915985896e-05, + "loss": 0.8552, + "step": 990 + }, + { + "epoch": 0.19, + "learning_rate": 1.869009477642136e-05, + "loss": 0.8374, + "step": 991 + }, + { + "epoch": 0.19, + "learning_rate": 1.8687022289669926e-05, + "loss": 0.8568, + "step": 992 + }, + { + "epoch": 0.19, + "learning_rate": 1.8683946456915032e-05, + "loss": 0.3513, + "step": 993 + }, + { + "epoch": 0.19, + "learning_rate": 1.8680867279341406e-05, + "loss": 0.9031, + "step": 994 + }, + { + "epoch": 0.19, + "learning_rate": 1.867778475813506e-05, + "loss": 0.832, + "step": 995 + }, + { + "epoch": 0.19, + "learning_rate": 1.8674698894483303e-05, + "loss": 0.8896, + "step": 996 + }, + { + "epoch": 0.19, + "learning_rate": 1.867160968957472e-05, + "loss": 0.8961, + "step": 997 + }, + { + "epoch": 0.19, + "learning_rate": 1.866851714459919e-05, + "loss": 0.8727, + "step": 998 + }, + { + "epoch": 0.19, + "learning_rate": 1.8665421260747875e-05, + "loss": 0.9242, + "step": 999 + }, + { + "epoch": 0.19, + "learning_rate": 1.8662322039213227e-05, + "loss": 0.9225, + "step": 1000 + }, + { + "epoch": 0.19, + "learning_rate": 1.865921948118898e-05, + "loss": 0.8925, + "step": 1001 + }, + { + "epoch": 0.19, + "learning_rate": 1.8656113587870154e-05, + "loss": 0.892, + "step": 1002 + }, + { + "epoch": 0.19, + "learning_rate": 1.8653004360453058e-05, + "loss": 0.8708, + "step": 1003 + }, + { + "epoch": 0.19, + "learning_rate": 1.864989180013528e-05, + "loss": 0.8524, + "step": 1004 + }, + { + "epoch": 0.19, + "learning_rate": 1.8646775908115685e-05, + "loss": 0.8544, + "step": 1005 + }, + { + "epoch": 0.19, + "learning_rate": 1.8643656685594443e-05, + "loss": 0.8432, + "step": 1006 + }, + { + "epoch": 0.19, + "learning_rate": 1.8640534133772982e-05, + "loss": 0.8534, + "step": 1007 + }, + { + "epoch": 0.19, + "learning_rate": 1.863740825385403e-05, + "loss": 0.8482, + "step": 1008 + }, + { + "epoch": 0.19, + "learning_rate": 1.863427904704159e-05, + "loss": 0.9062, + "step": 1009 + }, + { + "epoch": 0.19, + "learning_rate": 1.8631146514540943e-05, + "loss": 0.9354, + "step": 1010 + }, + { + "epoch": 0.19, + "learning_rate": 1.8628010657558656e-05, + "loss": 0.8729, + "step": 1011 + }, + { + "epoch": 0.19, + "learning_rate": 1.862487147730258e-05, + "loss": 0.901, + "step": 1012 + }, + { + "epoch": 0.19, + "learning_rate": 1.8621728974981836e-05, + "loss": 0.8826, + "step": 1013 + }, + { + "epoch": 0.19, + "learning_rate": 1.8618583151806832e-05, + "loss": 0.8917, + "step": 1014 + }, + { + "epoch": 0.19, + "learning_rate": 1.8615434008989253e-05, + "loss": 0.8328, + "step": 1015 + }, + { + "epoch": 0.19, + "learning_rate": 1.8612281547742068e-05, + "loss": 0.8554, + "step": 1016 + }, + { + "epoch": 0.19, + "learning_rate": 1.8609125769279507e-05, + "loss": 0.8887, + "step": 1017 + }, + { + "epoch": 0.2, + "learning_rate": 1.8605966674817097e-05, + "loss": 0.8941, + "step": 1018 + }, + { + "epoch": 0.2, + "learning_rate": 1.8602804265571634e-05, + "loss": 0.8601, + "step": 1019 + }, + { + "epoch": 0.2, + "learning_rate": 1.8599638542761194e-05, + "loss": 0.8898, + "step": 1020 + }, + { + "epoch": 0.2, + "learning_rate": 1.8596469507605123e-05, + "loss": 0.7884, + "step": 1021 + }, + { + "epoch": 0.2, + "learning_rate": 1.8593297161324047e-05, + "loss": 0.8524, + "step": 1022 + }, + { + "epoch": 0.2, + "learning_rate": 1.859012150513987e-05, + "loss": 0.8209, + "step": 1023 + }, + { + "epoch": 0.2, + "learning_rate": 1.858694254027577e-05, + "loss": 0.8756, + "step": 1024 + }, + { + "epoch": 0.2, + "learning_rate": 1.8583760267956187e-05, + "loss": 0.9076, + "step": 1025 + }, + { + "epoch": 0.2, + "learning_rate": 1.8580574689406853e-05, + "loss": 0.8597, + "step": 1026 + }, + { + "epoch": 0.2, + "learning_rate": 1.8577385805854767e-05, + "loss": 0.8672, + "step": 1027 + }, + { + "epoch": 0.2, + "learning_rate": 1.8574193618528195e-05, + "loss": 0.8388, + "step": 1028 + }, + { + "epoch": 0.2, + "learning_rate": 1.8570998128656685e-05, + "loss": 0.832, + "step": 1029 + }, + { + "epoch": 0.2, + "learning_rate": 1.8567799337471048e-05, + "loss": 0.8474, + "step": 1030 + }, + { + "epoch": 0.2, + "learning_rate": 1.8564597246203374e-05, + "loss": 0.7966, + "step": 1031 + }, + { + "epoch": 0.2, + "learning_rate": 1.8561391856087018e-05, + "loss": 0.8335, + "step": 1032 + }, + { + "epoch": 0.2, + "learning_rate": 1.8558183168356612e-05, + "loss": 0.8545, + "step": 1033 + }, + { + "epoch": 0.2, + "learning_rate": 1.8554971184248052e-05, + "loss": 0.8385, + "step": 1034 + }, + { + "epoch": 0.2, + "learning_rate": 1.8551755904998506e-05, + "loss": 0.8808, + "step": 1035 + }, + { + "epoch": 0.2, + "learning_rate": 1.8548537331846416e-05, + "loss": 0.8873, + "step": 1036 + }, + { + "epoch": 0.2, + "learning_rate": 1.8545315466031484e-05, + "loss": 0.8871, + "step": 1037 + }, + { + "epoch": 0.2, + "learning_rate": 1.854209030879469e-05, + "loss": 0.8759, + "step": 1038 + }, + { + "epoch": 0.2, + "learning_rate": 1.853886186137827e-05, + "loss": 0.8256, + "step": 1039 + }, + { + "epoch": 0.2, + "learning_rate": 1.8535630125025737e-05, + "loss": 0.8468, + "step": 1040 + }, + { + "epoch": 0.2, + "learning_rate": 1.8532395100981867e-05, + "loss": 0.873, + "step": 1041 + }, + { + "epoch": 0.2, + "learning_rate": 1.85291567904927e-05, + "loss": 0.8164, + "step": 1042 + }, + { + "epoch": 0.2, + "learning_rate": 1.852591519480555e-05, + "loss": 0.8708, + "step": 1043 + }, + { + "epoch": 0.2, + "learning_rate": 1.8522670315168985e-05, + "loss": 0.8663, + "step": 1044 + }, + { + "epoch": 0.2, + "learning_rate": 1.8519422152832853e-05, + "loss": 0.3927, + "step": 1045 + }, + { + "epoch": 0.2, + "learning_rate": 1.8516170709048246e-05, + "loss": 0.8974, + "step": 1046 + }, + { + "epoch": 0.2, + "learning_rate": 1.851291598506754e-05, + "loss": 0.9396, + "step": 1047 + }, + { + "epoch": 0.2, + "learning_rate": 1.850965798214436e-05, + "loss": 0.8102, + "step": 1048 + }, + { + "epoch": 0.2, + "learning_rate": 1.8506396701533607e-05, + "loss": 0.9215, + "step": 1049 + }, + { + "epoch": 0.2, + "learning_rate": 1.8503132144491427e-05, + "loss": 0.8421, + "step": 1050 + }, + { + "epoch": 0.2, + "learning_rate": 1.8499864312275244e-05, + "loss": 0.8954, + "step": 1051 + }, + { + "epoch": 0.2, + "learning_rate": 1.849659320614374e-05, + "loss": 0.9396, + "step": 1052 + }, + { + "epoch": 0.2, + "learning_rate": 1.849331882735685e-05, + "loss": 0.9292, + "step": 1053 + }, + { + "epoch": 0.2, + "learning_rate": 1.849004117717578e-05, + "loss": 0.9029, + "step": 1054 + }, + { + "epoch": 0.2, + "learning_rate": 1.8486760256862986e-05, + "loss": 0.3413, + "step": 1055 + }, + { + "epoch": 0.2, + "learning_rate": 1.8483476067682193e-05, + "loss": 0.3804, + "step": 1056 + }, + { + "epoch": 0.2, + "learning_rate": 1.848018861089838e-05, + "loss": 0.8667, + "step": 1057 + }, + { + "epoch": 0.2, + "learning_rate": 1.8476897887777788e-05, + "loss": 0.9178, + "step": 1058 + }, + { + "epoch": 0.2, + "learning_rate": 1.8473603899587906e-05, + "loss": 0.8475, + "step": 1059 + }, + { + "epoch": 0.2, + "learning_rate": 1.8470306647597493e-05, + "loss": 0.8405, + "step": 1060 + }, + { + "epoch": 0.2, + "learning_rate": 1.8467006133076565e-05, + "loss": 0.8033, + "step": 1061 + }, + { + "epoch": 0.2, + "learning_rate": 1.846370235729638e-05, + "loss": 0.9325, + "step": 1062 + }, + { + "epoch": 0.2, + "learning_rate": 1.8460395321529468e-05, + "loss": 0.8809, + "step": 1063 + }, + { + "epoch": 0.2, + "learning_rate": 1.845708502704961e-05, + "loss": 0.8996, + "step": 1064 + }, + { + "epoch": 0.2, + "learning_rate": 1.845377147513184e-05, + "loss": 0.9685, + "step": 1065 + }, + { + "epoch": 0.2, + "learning_rate": 1.8450454667052446e-05, + "loss": 0.8806, + "step": 1066 + }, + { + "epoch": 0.2, + "learning_rate": 1.844713460408897e-05, + "loss": 0.9172, + "step": 1067 + }, + { + "epoch": 0.2, + "learning_rate": 1.8443811287520216e-05, + "loss": 0.8848, + "step": 1068 + }, + { + "epoch": 0.2, + "learning_rate": 1.8440484718626222e-05, + "loss": 0.8765, + "step": 1069 + }, + { + "epoch": 0.2, + "learning_rate": 1.843715489868831e-05, + "loss": 0.8717, + "step": 1070 + }, + { + "epoch": 0.21, + "learning_rate": 1.8433821828989018e-05, + "loss": 0.3451, + "step": 1071 + }, + { + "epoch": 0.21, + "learning_rate": 1.8430485510812165e-05, + "loss": 0.3644, + "step": 1072 + }, + { + "epoch": 0.21, + "learning_rate": 1.8427145945442802e-05, + "loss": 0.8313, + "step": 1073 + }, + { + "epoch": 0.21, + "learning_rate": 1.8423803134167244e-05, + "loss": 0.8479, + "step": 1074 + }, + { + "epoch": 0.21, + "learning_rate": 1.8420457078273047e-05, + "loss": 0.8407, + "step": 1075 + }, + { + "epoch": 0.21, + "learning_rate": 1.8417107779049025e-05, + "loss": 0.3508, + "step": 1076 + }, + { + "epoch": 0.21, + "learning_rate": 1.8413755237785228e-05, + "loss": 0.8512, + "step": 1077 + }, + { + "epoch": 0.21, + "learning_rate": 1.841039945577297e-05, + "loss": 0.8758, + "step": 1078 + }, + { + "epoch": 0.21, + "learning_rate": 1.8407040434304805e-05, + "loss": 0.9087, + "step": 1079 + }, + { + "epoch": 0.21, + "learning_rate": 1.8403678174674532e-05, + "loss": 0.8203, + "step": 1080 + }, + { + "epoch": 0.21, + "learning_rate": 1.8400312678177207e-05, + "loss": 0.9127, + "step": 1081 + }, + { + "epoch": 0.21, + "learning_rate": 1.8396943946109128e-05, + "loss": 0.819, + "step": 1082 + }, + { + "epoch": 0.21, + "learning_rate": 1.839357197976783e-05, + "loss": 0.8641, + "step": 1083 + }, + { + "epoch": 0.21, + "learning_rate": 1.8390196780452113e-05, + "loss": 0.8708, + "step": 1084 + }, + { + "epoch": 0.21, + "learning_rate": 1.8386818349462007e-05, + "loss": 0.9033, + "step": 1085 + }, + { + "epoch": 0.21, + "learning_rate": 1.838343668809879e-05, + "loss": 0.9135, + "step": 1086 + }, + { + "epoch": 0.21, + "learning_rate": 1.8380051797664987e-05, + "loss": 0.8081, + "step": 1087 + }, + { + "epoch": 0.21, + "learning_rate": 1.837666367946436e-05, + "loss": 0.8379, + "step": 1088 + }, + { + "epoch": 0.21, + "learning_rate": 1.837327233480193e-05, + "loss": 0.8349, + "step": 1089 + }, + { + "epoch": 0.21, + "learning_rate": 1.8369877764983944e-05, + "loss": 0.8113, + "step": 1090 + }, + { + "epoch": 0.21, + "learning_rate": 1.8366479971317895e-05, + "loss": 0.9129, + "step": 1091 + }, + { + "epoch": 0.21, + "learning_rate": 1.8363078955112522e-05, + "loss": 0.877, + "step": 1092 + }, + { + "epoch": 0.21, + "learning_rate": 1.8359674717677808e-05, + "loss": 0.8574, + "step": 1093 + }, + { + "epoch": 0.21, + "learning_rate": 1.8356267260324963e-05, + "loss": 0.9255, + "step": 1094 + }, + { + "epoch": 0.21, + "learning_rate": 1.835285658436646e-05, + "loss": 0.8844, + "step": 1095 + }, + { + "epoch": 0.21, + "learning_rate": 1.8349442691115987e-05, + "loss": 0.8323, + "step": 1096 + }, + { + "epoch": 0.21, + "learning_rate": 1.8346025581888482e-05, + "loss": 0.8322, + "step": 1097 + }, + { + "epoch": 0.21, + "learning_rate": 1.8342605258000127e-05, + "loss": 0.7554, + "step": 1098 + }, + { + "epoch": 0.21, + "learning_rate": 1.833918172076834e-05, + "loss": 0.9079, + "step": 1099 + }, + { + "epoch": 0.21, + "learning_rate": 1.8335754971511766e-05, + "loss": 0.8989, + "step": 1100 + }, + { + "epoch": 0.21, + "learning_rate": 1.83323250115503e-05, + "loss": 0.8296, + "step": 1101 + }, + { + "epoch": 0.21, + "learning_rate": 1.8328891842205065e-05, + "loss": 0.8487, + "step": 1102 + }, + { + "epoch": 0.21, + "learning_rate": 1.832545546479843e-05, + "loss": 0.8883, + "step": 1103 + }, + { + "epoch": 0.21, + "learning_rate": 1.8322015880653988e-05, + "loss": 0.8151, + "step": 1104 + }, + { + "epoch": 0.21, + "learning_rate": 1.8318573091096578e-05, + "loss": 0.8649, + "step": 1105 + }, + { + "epoch": 0.21, + "learning_rate": 1.831512709745226e-05, + "loss": 0.8912, + "step": 1106 + }, + { + "epoch": 0.21, + "learning_rate": 1.8311677901048347e-05, + "loss": 0.8992, + "step": 1107 + }, + { + "epoch": 0.21, + "learning_rate": 1.8308225503213367e-05, + "loss": 0.8659, + "step": 1108 + }, + { + "epoch": 0.21, + "learning_rate": 1.8304769905277094e-05, + "loss": 0.8467, + "step": 1109 + }, + { + "epoch": 0.21, + "learning_rate": 1.830131110857053e-05, + "loss": 0.7672, + "step": 1110 + }, + { + "epoch": 0.21, + "learning_rate": 1.82978491144259e-05, + "loss": 0.3626, + "step": 1111 + }, + { + "epoch": 0.21, + "learning_rate": 1.8294383924176685e-05, + "loss": 0.3705, + "step": 1112 + }, + { + "epoch": 0.21, + "learning_rate": 1.8290915539157568e-05, + "loss": 0.8672, + "step": 1113 + }, + { + "epoch": 0.21, + "learning_rate": 1.8287443960704482e-05, + "loss": 0.8399, + "step": 1114 + }, + { + "epoch": 0.21, + "learning_rate": 1.8283969190154582e-05, + "loss": 0.9148, + "step": 1115 + }, + { + "epoch": 0.21, + "learning_rate": 1.8280491228846257e-05, + "loss": 0.873, + "step": 1116 + }, + { + "epoch": 0.21, + "learning_rate": 1.8277010078119123e-05, + "loss": 0.8672, + "step": 1117 + }, + { + "epoch": 0.21, + "learning_rate": 1.8273525739314025e-05, + "loss": 0.8161, + "step": 1118 + }, + { + "epoch": 0.21, + "learning_rate": 1.8270038213773027e-05, + "loss": 0.8499, + "step": 1119 + }, + { + "epoch": 0.21, + "learning_rate": 1.8266547502839436e-05, + "loss": 0.9155, + "step": 1120 + }, + { + "epoch": 0.21, + "learning_rate": 1.8263053607857775e-05, + "loss": 0.8638, + "step": 1121 + }, + { + "epoch": 0.21, + "learning_rate": 1.8259556530173802e-05, + "loss": 0.8708, + "step": 1122 + }, + { + "epoch": 0.22, + "learning_rate": 1.8256056271134487e-05, + "loss": 0.8778, + "step": 1123 + }, + { + "epoch": 0.22, + "learning_rate": 1.8252552832088044e-05, + "loss": 0.8513, + "step": 1124 + }, + { + "epoch": 0.22, + "learning_rate": 1.8249046214383893e-05, + "loss": 0.3781, + "step": 1125 + }, + { + "epoch": 0.22, + "learning_rate": 1.8245536419372692e-05, + "loss": 0.8347, + "step": 1126 + }, + { + "epoch": 0.22, + "learning_rate": 1.8242023448406322e-05, + "loss": 0.8246, + "step": 1127 + }, + { + "epoch": 0.22, + "learning_rate": 1.8238507302837874e-05, + "loss": 0.7802, + "step": 1128 + }, + { + "epoch": 0.22, + "learning_rate": 1.8234987984021673e-05, + "loss": 0.3468, + "step": 1129 + }, + { + "epoch": 0.22, + "learning_rate": 1.8231465493313273e-05, + "loss": 0.8923, + "step": 1130 + }, + { + "epoch": 0.22, + "learning_rate": 1.8227939832069435e-05, + "loss": 0.8737, + "step": 1131 + }, + { + "epoch": 0.22, + "learning_rate": 1.8224411001648144e-05, + "loss": 0.8884, + "step": 1132 + }, + { + "epoch": 0.22, + "learning_rate": 1.8220879003408616e-05, + "loss": 0.8497, + "step": 1133 + }, + { + "epoch": 0.22, + "learning_rate": 1.8217343838711276e-05, + "loss": 0.8586, + "step": 1134 + }, + { + "epoch": 0.22, + "learning_rate": 1.8213805508917773e-05, + "loss": 0.894, + "step": 1135 + }, + { + "epoch": 0.22, + "learning_rate": 1.8210264015390974e-05, + "loss": 0.8903, + "step": 1136 + }, + { + "epoch": 0.22, + "learning_rate": 1.8206719359494967e-05, + "loss": 0.9138, + "step": 1137 + }, + { + "epoch": 0.22, + "learning_rate": 1.820317154259506e-05, + "loss": 0.8328, + "step": 1138 + }, + { + "epoch": 0.22, + "learning_rate": 1.8199620566057766e-05, + "loss": 0.9152, + "step": 1139 + }, + { + "epoch": 0.22, + "learning_rate": 1.8196066431250834e-05, + "loss": 0.8335, + "step": 1140 + }, + { + "epoch": 0.22, + "learning_rate": 1.819250913954321e-05, + "loss": 0.8493, + "step": 1141 + }, + { + "epoch": 0.22, + "learning_rate": 1.8188948692305075e-05, + "loss": 0.8975, + "step": 1142 + }, + { + "epoch": 0.22, + "learning_rate": 1.818538509090781e-05, + "loss": 0.8606, + "step": 1143 + }, + { + "epoch": 0.22, + "learning_rate": 1.8181818336724018e-05, + "loss": 0.8271, + "step": 1144 + }, + { + "epoch": 0.22, + "learning_rate": 1.8178248431127518e-05, + "loss": 0.7976, + "step": 1145 + }, + { + "epoch": 0.22, + "learning_rate": 1.8174675375493337e-05, + "loss": 0.9182, + "step": 1146 + }, + { + "epoch": 0.22, + "learning_rate": 1.8171099171197715e-05, + "loss": 0.8964, + "step": 1147 + }, + { + "epoch": 0.22, + "learning_rate": 1.8167519819618116e-05, + "loss": 0.865, + "step": 1148 + }, + { + "epoch": 0.22, + "learning_rate": 1.8163937322133205e-05, + "loss": 0.8848, + "step": 1149 + }, + { + "epoch": 0.22, + "learning_rate": 1.8160351680122858e-05, + "loss": 0.8678, + "step": 1150 + }, + { + "epoch": 0.22, + "learning_rate": 1.8156762894968173e-05, + "loss": 0.8801, + "step": 1151 + }, + { + "epoch": 0.22, + "learning_rate": 1.8153170968051447e-05, + "loss": 0.8493, + "step": 1152 + }, + { + "epoch": 0.22, + "learning_rate": 1.8149575900756193e-05, + "loss": 0.3686, + "step": 1153 + }, + { + "epoch": 0.22, + "learning_rate": 1.814597769446713e-05, + "loss": 0.8505, + "step": 1154 + }, + { + "epoch": 0.22, + "learning_rate": 1.8142376350570198e-05, + "loss": 0.8349, + "step": 1155 + }, + { + "epoch": 0.22, + "learning_rate": 1.8138771870452528e-05, + "loss": 0.7867, + "step": 1156 + }, + { + "epoch": 0.22, + "learning_rate": 1.8135164255502468e-05, + "loss": 0.8463, + "step": 1157 + }, + { + "epoch": 0.22, + "learning_rate": 1.8131553507109575e-05, + "loss": 0.8758, + "step": 1158 + }, + { + "epoch": 0.22, + "learning_rate": 1.812793962666461e-05, + "loss": 0.8561, + "step": 1159 + }, + { + "epoch": 0.22, + "learning_rate": 1.812432261555954e-05, + "loss": 0.928, + "step": 1160 + }, + { + "epoch": 0.22, + "learning_rate": 1.812070247518754e-05, + "loss": 0.8939, + "step": 1161 + }, + { + "epoch": 0.22, + "learning_rate": 1.8117079206942986e-05, + "loss": 0.8524, + "step": 1162 + }, + { + "epoch": 0.22, + "learning_rate": 1.811345281222147e-05, + "loss": 0.908, + "step": 1163 + }, + { + "epoch": 0.22, + "learning_rate": 1.8109823292419765e-05, + "loss": 0.8129, + "step": 1164 + }, + { + "epoch": 0.22, + "learning_rate": 1.8106190648935877e-05, + "loss": 0.8326, + "step": 1165 + }, + { + "epoch": 0.22, + "learning_rate": 1.8102554883169e-05, + "loss": 0.8959, + "step": 1166 + }, + { + "epoch": 0.22, + "learning_rate": 1.8098915996519522e-05, + "loss": 0.9113, + "step": 1167 + }, + { + "epoch": 0.22, + "learning_rate": 1.8095273990389047e-05, + "loss": 0.8328, + "step": 1168 + }, + { + "epoch": 0.22, + "learning_rate": 1.809162886618038e-05, + "loss": 0.7993, + "step": 1169 + }, + { + "epoch": 0.22, + "learning_rate": 1.8087980625297522e-05, + "loss": 0.8545, + "step": 1170 + }, + { + "epoch": 0.22, + "learning_rate": 1.8084329269145673e-05, + "loss": 0.8519, + "step": 1171 + }, + { + "epoch": 0.22, + "learning_rate": 1.8080674799131235e-05, + "loss": 0.8637, + "step": 1172 + }, + { + "epoch": 0.22, + "learning_rate": 1.8077017216661815e-05, + "loss": 0.8348, + "step": 1173 + }, + { + "epoch": 0.22, + "learning_rate": 1.807335652314621e-05, + "loss": 0.9158, + "step": 1174 + }, + { + "epoch": 0.23, + "learning_rate": 1.8069692719994413e-05, + "loss": 0.8796, + "step": 1175 + }, + { + "epoch": 0.23, + "learning_rate": 1.8066025808617636e-05, + "loss": 0.8422, + "step": 1176 + }, + { + "epoch": 0.23, + "learning_rate": 1.8062355790428258e-05, + "loss": 0.9159, + "step": 1177 + }, + { + "epoch": 0.23, + "learning_rate": 1.805868266683988e-05, + "loss": 0.8262, + "step": 1178 + }, + { + "epoch": 0.23, + "learning_rate": 1.805500643926728e-05, + "loss": 0.8311, + "step": 1179 + }, + { + "epoch": 0.23, + "learning_rate": 1.805132710912645e-05, + "loss": 0.8598, + "step": 1180 + }, + { + "epoch": 0.23, + "learning_rate": 1.8047644677834562e-05, + "loss": 0.8954, + "step": 1181 + }, + { + "epoch": 0.23, + "learning_rate": 1.8043959146809986e-05, + "loss": 0.9036, + "step": 1182 + }, + { + "epoch": 0.23, + "learning_rate": 1.804027051747229e-05, + "loss": 0.8696, + "step": 1183 + }, + { + "epoch": 0.23, + "learning_rate": 1.8036578791242237e-05, + "loss": 0.8875, + "step": 1184 + }, + { + "epoch": 0.23, + "learning_rate": 1.803288396954177e-05, + "loss": 0.8786, + "step": 1185 + }, + { + "epoch": 0.23, + "learning_rate": 1.802918605379404e-05, + "loss": 0.8545, + "step": 1186 + }, + { + "epoch": 0.23, + "learning_rate": 1.8025485045423386e-05, + "loss": 0.8188, + "step": 1187 + }, + { + "epoch": 0.23, + "learning_rate": 1.8021780945855325e-05, + "loss": 0.9014, + "step": 1188 + }, + { + "epoch": 0.23, + "learning_rate": 1.801807375651658e-05, + "loss": 0.9482, + "step": 1189 + }, + { + "epoch": 0.23, + "learning_rate": 1.8014363478835064e-05, + "loss": 0.8584, + "step": 1190 + }, + { + "epoch": 0.23, + "learning_rate": 1.801065011423987e-05, + "loss": 0.8621, + "step": 1191 + }, + { + "epoch": 0.23, + "learning_rate": 1.800693366416128e-05, + "loss": 0.9181, + "step": 1192 + }, + { + "epoch": 0.23, + "learning_rate": 1.8003214130030778e-05, + "loss": 0.3301, + "step": 1193 + }, + { + "epoch": 0.23, + "learning_rate": 1.799949151328102e-05, + "loss": 0.8475, + "step": 1194 + }, + { + "epoch": 0.23, + "learning_rate": 1.799576581534586e-05, + "loss": 0.867, + "step": 1195 + }, + { + "epoch": 0.23, + "learning_rate": 1.7992037037660336e-05, + "loss": 0.7964, + "step": 1196 + }, + { + "epoch": 0.23, + "learning_rate": 1.7988305181660665e-05, + "loss": 0.8258, + "step": 1197 + }, + { + "epoch": 0.23, + "learning_rate": 1.798457024878426e-05, + "loss": 0.8977, + "step": 1198 + }, + { + "epoch": 0.23, + "learning_rate": 1.7980832240469716e-05, + "loss": 0.9012, + "step": 1199 + }, + { + "epoch": 0.23, + "learning_rate": 1.797709115815681e-05, + "loss": 0.9138, + "step": 1200 + }, + { + "epoch": 0.23, + "learning_rate": 1.7973347003286503e-05, + "loss": 0.8931, + "step": 1201 + }, + { + "epoch": 0.23, + "learning_rate": 1.7969599777300945e-05, + "loss": 0.894, + "step": 1202 + }, + { + "epoch": 0.23, + "learning_rate": 1.796584948164346e-05, + "loss": 0.9267, + "step": 1203 + }, + { + "epoch": 0.23, + "learning_rate": 1.7962096117758563e-05, + "loss": 0.8439, + "step": 1204 + }, + { + "epoch": 0.23, + "learning_rate": 1.795833968709195e-05, + "loss": 0.884, + "step": 1205 + }, + { + "epoch": 0.23, + "learning_rate": 1.7954580191090492e-05, + "loss": 0.8923, + "step": 1206 + }, + { + "epoch": 0.23, + "learning_rate": 1.795081763120224e-05, + "loss": 0.835, + "step": 1207 + }, + { + "epoch": 0.23, + "learning_rate": 1.7947052008876436e-05, + "loss": 0.7916, + "step": 1208 + }, + { + "epoch": 0.23, + "learning_rate": 1.794328332556349e-05, + "loss": 0.8107, + "step": 1209 + }, + { + "epoch": 0.23, + "learning_rate": 1.7939511582714998e-05, + "loss": 0.8014, + "step": 1210 + }, + { + "epoch": 0.23, + "learning_rate": 1.7935736781783736e-05, + "loss": 0.8447, + "step": 1211 + }, + { + "epoch": 0.23, + "learning_rate": 1.7931958924223645e-05, + "loss": 0.8148, + "step": 1212 + }, + { + "epoch": 0.23, + "learning_rate": 1.792817801148986e-05, + "loss": 0.8133, + "step": 1213 + }, + { + "epoch": 0.23, + "learning_rate": 1.792439404503868e-05, + "loss": 0.8836, + "step": 1214 + }, + { + "epoch": 0.23, + "learning_rate": 1.792060702632759e-05, + "loss": 0.8301, + "step": 1215 + }, + { + "epoch": 0.23, + "learning_rate": 1.7916816956815242e-05, + "loss": 0.3867, + "step": 1216 + }, + { + "epoch": 0.23, + "learning_rate": 1.791302383796147e-05, + "loss": 0.8776, + "step": 1217 + }, + { + "epoch": 0.23, + "learning_rate": 1.7909227671227283e-05, + "loss": 0.9058, + "step": 1218 + }, + { + "epoch": 0.23, + "learning_rate": 1.790542845807485e-05, + "loss": 0.8919, + "step": 1219 + }, + { + "epoch": 0.23, + "learning_rate": 1.7901626199967534e-05, + "loss": 0.9234, + "step": 1220 + }, + { + "epoch": 0.23, + "learning_rate": 1.7897820898369857e-05, + "loss": 0.3365, + "step": 1221 + }, + { + "epoch": 0.23, + "learning_rate": 1.789401255474752e-05, + "loss": 0.9205, + "step": 1222 + }, + { + "epoch": 0.23, + "learning_rate": 1.7890201170567383e-05, + "loss": 0.8651, + "step": 1223 + }, + { + "epoch": 0.23, + "learning_rate": 1.78863867472975e-05, + "loss": 0.8797, + "step": 1224 + }, + { + "epoch": 0.23, + "learning_rate": 1.788256928640708e-05, + "loss": 0.774, + "step": 1225 + }, + { + "epoch": 0.23, + "learning_rate": 1.7878748789366497e-05, + "loss": 0.8592, + "step": 1226 + }, + { + "epoch": 0.24, + "learning_rate": 1.7874925257647303e-05, + "loss": 0.8576, + "step": 1227 + }, + { + "epoch": 0.24, + "learning_rate": 1.787109869272223e-05, + "loss": 0.898, + "step": 1228 + }, + { + "epoch": 0.24, + "learning_rate": 1.786726909606515e-05, + "loss": 0.8655, + "step": 1229 + }, + { + "epoch": 0.24, + "learning_rate": 1.786343646915113e-05, + "loss": 0.8581, + "step": 1230 + }, + { + "epoch": 0.24, + "learning_rate": 1.7859600813456386e-05, + "loss": 0.8007, + "step": 1231 + }, + { + "epoch": 0.24, + "learning_rate": 1.7855762130458316e-05, + "loss": 0.8469, + "step": 1232 + }, + { + "epoch": 0.24, + "learning_rate": 1.785192042163547e-05, + "loss": 0.8941, + "step": 1233 + }, + { + "epoch": 0.24, + "learning_rate": 1.7848075688467567e-05, + "loss": 0.8769, + "step": 1234 + }, + { + "epoch": 0.24, + "learning_rate": 1.78442279324355e-05, + "loss": 0.8601, + "step": 1235 + }, + { + "epoch": 0.24, + "learning_rate": 1.784037715502131e-05, + "loss": 0.8566, + "step": 1236 + }, + { + "epoch": 0.24, + "learning_rate": 1.783652335770822e-05, + "loss": 0.9034, + "step": 1237 + }, + { + "epoch": 0.24, + "learning_rate": 1.7832666541980604e-05, + "loss": 0.9008, + "step": 1238 + }, + { + "epoch": 0.24, + "learning_rate": 1.7828806709324005e-05, + "loss": 0.8788, + "step": 1239 + }, + { + "epoch": 0.24, + "learning_rate": 1.782494386122512e-05, + "loss": 0.8504, + "step": 1240 + }, + { + "epoch": 0.24, + "learning_rate": 1.7821077999171813e-05, + "loss": 0.8624, + "step": 1241 + }, + { + "epoch": 0.24, + "learning_rate": 1.7817209124653113e-05, + "loss": 0.8668, + "step": 1242 + }, + { + "epoch": 0.24, + "learning_rate": 1.78133372391592e-05, + "loss": 0.8896, + "step": 1243 + }, + { + "epoch": 0.24, + "learning_rate": 1.7809462344181422e-05, + "loss": 0.9138, + "step": 1244 + }, + { + "epoch": 0.24, + "learning_rate": 1.7805584441212277e-05, + "loss": 0.8664, + "step": 1245 + }, + { + "epoch": 0.24, + "learning_rate": 1.7801703531745432e-05, + "loss": 0.8594, + "step": 1246 + }, + { + "epoch": 0.24, + "learning_rate": 1.7797819617275704e-05, + "loss": 0.8881, + "step": 1247 + }, + { + "epoch": 0.24, + "learning_rate": 1.7793932699299078e-05, + "loss": 0.3296, + "step": 1248 + }, + { + "epoch": 0.24, + "learning_rate": 1.7790042779312676e-05, + "loss": 0.8465, + "step": 1249 + }, + { + "epoch": 0.24, + "learning_rate": 1.7786149858814803e-05, + "loss": 0.9074, + "step": 1250 + }, + { + "epoch": 0.24, + "learning_rate": 1.7782253939304897e-05, + "loss": 0.8785, + "step": 1251 + }, + { + "epoch": 0.24, + "learning_rate": 1.777835502228356e-05, + "loss": 0.3673, + "step": 1252 + }, + { + "epoch": 0.24, + "learning_rate": 1.7774453109252548e-05, + "loss": 0.8529, + "step": 1253 + }, + { + "epoch": 0.24, + "learning_rate": 1.7770548201714774e-05, + "loss": 0.9204, + "step": 1254 + }, + { + "epoch": 0.24, + "learning_rate": 1.77666403011743e-05, + "loss": 0.9102, + "step": 1255 + }, + { + "epoch": 0.24, + "learning_rate": 1.7762729409136342e-05, + "loss": 0.9406, + "step": 1256 + }, + { + "epoch": 0.24, + "learning_rate": 1.7758815527107273e-05, + "loss": 0.8251, + "step": 1257 + }, + { + "epoch": 0.24, + "learning_rate": 1.7754898656594607e-05, + "loss": 0.8838, + "step": 1258 + }, + { + "epoch": 0.24, + "learning_rate": 1.775097879910702e-05, + "loss": 0.821, + "step": 1259 + }, + { + "epoch": 0.24, + "learning_rate": 1.774705595615433e-05, + "loss": 0.3658, + "step": 1260 + }, + { + "epoch": 0.24, + "learning_rate": 1.774313012924751e-05, + "loss": 0.8721, + "step": 1261 + }, + { + "epoch": 0.24, + "learning_rate": 1.7739201319898683e-05, + "loss": 0.9285, + "step": 1262 + }, + { + "epoch": 0.24, + "learning_rate": 1.773526952962112e-05, + "loss": 0.8711, + "step": 1263 + }, + { + "epoch": 0.24, + "learning_rate": 1.7731334759929236e-05, + "loss": 0.8188, + "step": 1264 + }, + { + "epoch": 0.24, + "learning_rate": 1.7727397012338598e-05, + "loss": 0.9008, + "step": 1265 + }, + { + "epoch": 0.24, + "learning_rate": 1.772345628836592e-05, + "loss": 0.9297, + "step": 1266 + }, + { + "epoch": 0.24, + "learning_rate": 1.7719512589529054e-05, + "loss": 0.9056, + "step": 1267 + }, + { + "epoch": 0.24, + "learning_rate": 1.7715565917347017e-05, + "loss": 0.9071, + "step": 1268 + }, + { + "epoch": 0.24, + "learning_rate": 1.771161627333995e-05, + "loss": 0.9017, + "step": 1269 + }, + { + "epoch": 0.24, + "learning_rate": 1.7707663659029152e-05, + "loss": 0.888, + "step": 1270 + }, + { + "epoch": 0.24, + "learning_rate": 1.770370807593706e-05, + "loss": 0.9086, + "step": 1271 + }, + { + "epoch": 0.24, + "learning_rate": 1.7699749525587257e-05, + "loss": 0.819, + "step": 1272 + }, + { + "epoch": 0.24, + "learning_rate": 1.769578800950447e-05, + "loss": 0.8604, + "step": 1273 + }, + { + "epoch": 0.24, + "learning_rate": 1.7691823529214566e-05, + "loss": 0.845, + "step": 1274 + }, + { + "epoch": 0.24, + "learning_rate": 1.768785608624455e-05, + "loss": 0.849, + "step": 1275 + }, + { + "epoch": 0.24, + "learning_rate": 1.7683885682122576e-05, + "loss": 0.35, + "step": 1276 + }, + { + "epoch": 0.24, + "learning_rate": 1.767991231837794e-05, + "loss": 0.838, + "step": 1277 + }, + { + "epoch": 0.24, + "learning_rate": 1.7675935996541063e-05, + "loss": 0.8291, + "step": 1278 + }, + { + "epoch": 0.25, + "learning_rate": 1.7671956718143524e-05, + "loss": 0.8891, + "step": 1279 + }, + { + "epoch": 0.25, + "learning_rate": 1.7667974484718026e-05, + "loss": 0.8768, + "step": 1280 + }, + { + "epoch": 0.25, + "learning_rate": 1.7663989297798423e-05, + "loss": 0.9203, + "step": 1281 + }, + { + "epoch": 0.25, + "learning_rate": 1.7660001158919694e-05, + "loss": 0.8989, + "step": 1282 + }, + { + "epoch": 0.25, + "learning_rate": 1.7656010069617962e-05, + "loss": 0.8697, + "step": 1283 + }, + { + "epoch": 0.25, + "learning_rate": 1.7652016031430493e-05, + "loss": 0.3617, + "step": 1284 + }, + { + "epoch": 0.25, + "learning_rate": 1.7648019045895674e-05, + "loss": 0.8811, + "step": 1285 + }, + { + "epoch": 0.25, + "learning_rate": 1.764401911455303e-05, + "loss": 0.3486, + "step": 1286 + }, + { + "epoch": 0.25, + "learning_rate": 1.7640016238943235e-05, + "loss": 0.8221, + "step": 1287 + }, + { + "epoch": 0.25, + "learning_rate": 1.7636010420608084e-05, + "loss": 0.849, + "step": 1288 + }, + { + "epoch": 0.25, + "learning_rate": 1.7632001661090505e-05, + "loss": 0.8542, + "step": 1289 + }, + { + "epoch": 0.25, + "learning_rate": 1.7627989961934567e-05, + "loss": 0.8804, + "step": 1290 + }, + { + "epoch": 0.25, + "learning_rate": 1.7623975324685467e-05, + "loss": 0.8211, + "step": 1291 + }, + { + "epoch": 0.25, + "learning_rate": 1.761995775088953e-05, + "loss": 0.8642, + "step": 1292 + }, + { + "epoch": 0.25, + "learning_rate": 1.761593724209422e-05, + "loss": 0.8666, + "step": 1293 + }, + { + "epoch": 0.25, + "learning_rate": 1.761191379984812e-05, + "loss": 0.8389, + "step": 1294 + }, + { + "epoch": 0.25, + "learning_rate": 1.7607887425700957e-05, + "loss": 0.8486, + "step": 1295 + }, + { + "epoch": 0.25, + "learning_rate": 1.760385812120358e-05, + "loss": 0.8355, + "step": 1296 + }, + { + "epoch": 0.25, + "learning_rate": 1.759982588790796e-05, + "loss": 0.8759, + "step": 1297 + }, + { + "epoch": 0.25, + "learning_rate": 1.759579072736721e-05, + "loss": 0.8393, + "step": 1298 + }, + { + "epoch": 0.25, + "learning_rate": 1.759175264113556e-05, + "loss": 0.83, + "step": 1299 + }, + { + "epoch": 0.25, + "learning_rate": 1.7587711630768374e-05, + "loss": 0.8642, + "step": 1300 + }, + { + "epoch": 0.25, + "learning_rate": 1.7583667697822133e-05, + "loss": 0.8182, + "step": 1301 + }, + { + "epoch": 0.25, + "learning_rate": 1.7579620843854454e-05, + "loss": 0.858, + "step": 1302 + }, + { + "epoch": 0.25, + "learning_rate": 1.7575571070424073e-05, + "loss": 0.898, + "step": 1303 + }, + { + "epoch": 0.25, + "learning_rate": 1.757151837909085e-05, + "loss": 0.8544, + "step": 1304 + }, + { + "epoch": 0.25, + "learning_rate": 1.7567462771415775e-05, + "loss": 0.8153, + "step": 1305 + }, + { + "epoch": 0.25, + "learning_rate": 1.7563404248960957e-05, + "loss": 0.8209, + "step": 1306 + }, + { + "epoch": 0.25, + "learning_rate": 1.7559342813289623e-05, + "loss": 0.7612, + "step": 1307 + }, + { + "epoch": 0.25, + "learning_rate": 1.7555278465966134e-05, + "loss": 0.8305, + "step": 1308 + }, + { + "epoch": 0.25, + "learning_rate": 1.7551211208555957e-05, + "loss": 0.8615, + "step": 1309 + }, + { + "epoch": 0.25, + "learning_rate": 1.7547141042625695e-05, + "loss": 0.8439, + "step": 1310 + }, + { + "epoch": 0.25, + "learning_rate": 1.754306796974306e-05, + "loss": 0.8495, + "step": 1311 + }, + { + "epoch": 0.25, + "learning_rate": 1.753899199147689e-05, + "loss": 0.8886, + "step": 1312 + }, + { + "epoch": 0.25, + "learning_rate": 1.7534913109397147e-05, + "loss": 0.9005, + "step": 1313 + }, + { + "epoch": 0.25, + "learning_rate": 1.7530831325074894e-05, + "loss": 0.8469, + "step": 1314 + }, + { + "epoch": 0.25, + "learning_rate": 1.7526746640082332e-05, + "loss": 0.8777, + "step": 1315 + }, + { + "epoch": 0.25, + "learning_rate": 1.7522659055992763e-05, + "loss": 0.8644, + "step": 1316 + }, + { + "epoch": 0.25, + "learning_rate": 1.7518568574380615e-05, + "loss": 0.8878, + "step": 1317 + }, + { + "epoch": 0.25, + "learning_rate": 1.751447519682143e-05, + "loss": 0.9309, + "step": 1318 + }, + { + "epoch": 0.25, + "learning_rate": 1.7510378924891864e-05, + "loss": 0.8222, + "step": 1319 + }, + { + "epoch": 0.25, + "learning_rate": 1.750627976016969e-05, + "loss": 0.8481, + "step": 1320 + }, + { + "epoch": 0.25, + "learning_rate": 1.7502177704233798e-05, + "loss": 0.8668, + "step": 1321 + }, + { + "epoch": 0.25, + "learning_rate": 1.749807275866418e-05, + "loss": 0.8838, + "step": 1322 + }, + { + "epoch": 0.25, + "learning_rate": 1.7493964925041955e-05, + "loss": 0.8744, + "step": 1323 + }, + { + "epoch": 0.25, + "learning_rate": 1.7489854204949343e-05, + "loss": 0.873, + "step": 1324 + }, + { + "epoch": 0.25, + "learning_rate": 1.7485740599969686e-05, + "loss": 0.8211, + "step": 1325 + }, + { + "epoch": 0.25, + "learning_rate": 1.748162411168743e-05, + "loss": 0.817, + "step": 1326 + }, + { + "epoch": 0.25, + "learning_rate": 1.7477504741688135e-05, + "loss": 0.9246, + "step": 1327 + }, + { + "epoch": 0.25, + "learning_rate": 1.747338249155847e-05, + "loss": 0.3873, + "step": 1328 + }, + { + "epoch": 0.25, + "learning_rate": 1.7469257362886206e-05, + "loss": 0.8707, + "step": 1329 + }, + { + "epoch": 0.25, + "learning_rate": 1.746512935726024e-05, + "loss": 0.8721, + "step": 1330 + }, + { + "epoch": 0.25, + "learning_rate": 1.746099847627056e-05, + "loss": 0.8326, + "step": 1331 + }, + { + "epoch": 0.26, + "learning_rate": 1.7456864721508272e-05, + "loss": 0.8723, + "step": 1332 + }, + { + "epoch": 0.26, + "learning_rate": 1.745272809456558e-05, + "loss": 0.9244, + "step": 1333 + }, + { + "epoch": 0.26, + "learning_rate": 1.7448588597035806e-05, + "loss": 0.8443, + "step": 1334 + }, + { + "epoch": 0.26, + "learning_rate": 1.744444623051337e-05, + "loss": 0.845, + "step": 1335 + }, + { + "epoch": 0.26, + "learning_rate": 1.7440300996593795e-05, + "loss": 0.8391, + "step": 1336 + }, + { + "epoch": 0.26, + "learning_rate": 1.7436152896873717e-05, + "loss": 0.9207, + "step": 1337 + }, + { + "epoch": 0.26, + "learning_rate": 1.7432001932950865e-05, + "loss": 0.8663, + "step": 1338 + }, + { + "epoch": 0.26, + "learning_rate": 1.742784810642408e-05, + "loss": 0.8472, + "step": 1339 + }, + { + "epoch": 0.26, + "learning_rate": 1.7423691418893303e-05, + "loss": 0.8744, + "step": 1340 + }, + { + "epoch": 0.26, + "learning_rate": 1.741953187195957e-05, + "loss": 0.8928, + "step": 1341 + }, + { + "epoch": 0.26, + "learning_rate": 1.7415369467225035e-05, + "loss": 0.8387, + "step": 1342 + }, + { + "epoch": 0.26, + "learning_rate": 1.7411204206292938e-05, + "loss": 0.8533, + "step": 1343 + }, + { + "epoch": 0.26, + "learning_rate": 1.740703609076762e-05, + "loss": 0.897, + "step": 1344 + }, + { + "epoch": 0.26, + "learning_rate": 1.7402865122254525e-05, + "loss": 0.8695, + "step": 1345 + }, + { + "epoch": 0.26, + "learning_rate": 1.7398691302360203e-05, + "loss": 0.8385, + "step": 1346 + }, + { + "epoch": 0.26, + "learning_rate": 1.7394514632692296e-05, + "loss": 0.3404, + "step": 1347 + }, + { + "epoch": 0.26, + "learning_rate": 1.7390335114859532e-05, + "loss": 0.8275, + "step": 1348 + }, + { + "epoch": 0.26, + "learning_rate": 1.7386152750471755e-05, + "loss": 0.7325, + "step": 1349 + }, + { + "epoch": 0.26, + "learning_rate": 1.7381967541139894e-05, + "loss": 0.9041, + "step": 1350 + }, + { + "epoch": 0.26, + "learning_rate": 1.737777948847598e-05, + "loss": 0.9198, + "step": 1351 + }, + { + "epoch": 0.26, + "learning_rate": 1.7373588594093137e-05, + "loss": 0.8871, + "step": 1352 + }, + { + "epoch": 0.26, + "learning_rate": 1.7369394859605576e-05, + "loss": 0.8696, + "step": 1353 + }, + { + "epoch": 0.26, + "learning_rate": 1.736519828662862e-05, + "loss": 0.8684, + "step": 1354 + }, + { + "epoch": 0.26, + "learning_rate": 1.7360998876778667e-05, + "loss": 0.8285, + "step": 1355 + }, + { + "epoch": 0.26, + "learning_rate": 1.7356796631673213e-05, + "loss": 0.8598, + "step": 1356 + }, + { + "epoch": 0.26, + "learning_rate": 1.7352591552930852e-05, + "loss": 0.8503, + "step": 1357 + }, + { + "epoch": 0.26, + "learning_rate": 1.7348383642171268e-05, + "loss": 0.8552, + "step": 1358 + }, + { + "epoch": 0.26, + "learning_rate": 1.7344172901015227e-05, + "loss": 0.8339, + "step": 1359 + }, + { + "epoch": 0.26, + "learning_rate": 1.7339959331084594e-05, + "loss": 0.8122, + "step": 1360 + }, + { + "epoch": 0.26, + "learning_rate": 1.7335742934002322e-05, + "loss": 0.9142, + "step": 1361 + }, + { + "epoch": 0.26, + "learning_rate": 1.733152371139245e-05, + "loss": 0.8626, + "step": 1362 + }, + { + "epoch": 0.26, + "learning_rate": 1.7327301664880106e-05, + "loss": 0.912, + "step": 1363 + }, + { + "epoch": 0.26, + "learning_rate": 1.732307679609151e-05, + "loss": 0.8961, + "step": 1364 + }, + { + "epoch": 0.26, + "learning_rate": 1.7318849106653962e-05, + "loss": 0.9046, + "step": 1365 + }, + { + "epoch": 0.26, + "learning_rate": 1.731461859819586e-05, + "loss": 0.9117, + "step": 1366 + }, + { + "epoch": 0.26, + "learning_rate": 1.731038527234667e-05, + "loss": 0.8602, + "step": 1367 + }, + { + "epoch": 0.26, + "learning_rate": 1.7306149130736965e-05, + "loss": 0.9249, + "step": 1368 + }, + { + "epoch": 0.26, + "learning_rate": 1.730191017499838e-05, + "loss": 0.927, + "step": 1369 + }, + { + "epoch": 0.26, + "learning_rate": 1.729766840676365e-05, + "loss": 0.3535, + "step": 1370 + }, + { + "epoch": 0.26, + "learning_rate": 1.7293423827666588e-05, + "loss": 0.9117, + "step": 1371 + }, + { + "epoch": 0.26, + "learning_rate": 1.728917643934209e-05, + "loss": 0.8614, + "step": 1372 + }, + { + "epoch": 0.26, + "learning_rate": 1.728492624342613e-05, + "loss": 0.8857, + "step": 1373 + }, + { + "epoch": 0.26, + "learning_rate": 1.7280673241555773e-05, + "loss": 0.9049, + "step": 1374 + }, + { + "epoch": 0.26, + "learning_rate": 1.727641743536916e-05, + "loss": 0.3778, + "step": 1375 + }, + { + "epoch": 0.26, + "learning_rate": 1.7272158826505502e-05, + "loss": 0.9129, + "step": 1376 + }, + { + "epoch": 0.26, + "learning_rate": 1.7267897416605104e-05, + "loss": 0.8417, + "step": 1377 + }, + { + "epoch": 0.26, + "learning_rate": 1.726363320730935e-05, + "loss": 0.8325, + "step": 1378 + }, + { + "epoch": 0.26, + "learning_rate": 1.725936620026069e-05, + "loss": 0.9388, + "step": 1379 + }, + { + "epoch": 0.26, + "learning_rate": 1.725509639710266e-05, + "loss": 0.9118, + "step": 1380 + }, + { + "epoch": 0.26, + "learning_rate": 1.7250823799479868e-05, + "loss": 0.8702, + "step": 1381 + }, + { + "epoch": 0.26, + "learning_rate": 1.7246548409038007e-05, + "loss": 0.8293, + "step": 1382 + }, + { + "epoch": 0.26, + "learning_rate": 1.724227022742384e-05, + "loss": 0.8944, + "step": 1383 + }, + { + "epoch": 0.27, + "learning_rate": 1.7237989256285207e-05, + "loss": 0.8156, + "step": 1384 + }, + { + "epoch": 0.27, + "learning_rate": 1.7233705497271015e-05, + "loss": 0.8386, + "step": 1385 + }, + { + "epoch": 0.27, + "learning_rate": 1.7229418952031254e-05, + "loss": 0.8824, + "step": 1386 + }, + { + "epoch": 0.27, + "learning_rate": 1.7225129622216984e-05, + "loss": 0.3416, + "step": 1387 + }, + { + "epoch": 0.27, + "learning_rate": 1.722083750948034e-05, + "loss": 0.8265, + "step": 1388 + }, + { + "epoch": 0.27, + "learning_rate": 1.7216542615474524e-05, + "loss": 0.8683, + "step": 1389 + }, + { + "epoch": 0.27, + "learning_rate": 1.721224494185381e-05, + "loss": 0.8052, + "step": 1390 + }, + { + "epoch": 0.27, + "learning_rate": 1.720794449027355e-05, + "loss": 0.892, + "step": 1391 + }, + { + "epoch": 0.27, + "learning_rate": 1.7203641262390158e-05, + "loss": 0.8896, + "step": 1392 + }, + { + "epoch": 0.27, + "learning_rate": 1.7199335259861115e-05, + "loss": 0.8492, + "step": 1393 + }, + { + "epoch": 0.27, + "learning_rate": 1.7195026484344978e-05, + "loss": 0.7561, + "step": 1394 + }, + { + "epoch": 0.27, + "learning_rate": 1.7190714937501375e-05, + "loss": 0.854, + "step": 1395 + }, + { + "epoch": 0.27, + "learning_rate": 1.7186400620990986e-05, + "loss": 0.3577, + "step": 1396 + }, + { + "epoch": 0.27, + "learning_rate": 1.7182083536475577e-05, + "loss": 0.8162, + "step": 1397 + }, + { + "epoch": 0.27, + "learning_rate": 1.7177763685617967e-05, + "loss": 0.8361, + "step": 1398 + }, + { + "epoch": 0.27, + "learning_rate": 1.7173441070082042e-05, + "loss": 0.3431, + "step": 1399 + }, + { + "epoch": 0.27, + "learning_rate": 1.716911569153276e-05, + "loss": 0.8499, + "step": 1400 + }, + { + "epoch": 0.27, + "learning_rate": 1.7164787551636136e-05, + "loss": 0.8643, + "step": 1401 + }, + { + "epoch": 0.27, + "learning_rate": 1.716045665205925e-05, + "loss": 0.3918, + "step": 1402 + }, + { + "epoch": 0.27, + "learning_rate": 1.7156122994470253e-05, + "loss": 0.895, + "step": 1403 + }, + { + "epoch": 0.27, + "learning_rate": 1.7151786580538343e-05, + "loss": 0.9065, + "step": 1404 + }, + { + "epoch": 0.27, + "learning_rate": 1.714744741193379e-05, + "loss": 0.8678, + "step": 1405 + }, + { + "epoch": 0.27, + "learning_rate": 1.7143105490327924e-05, + "loss": 0.8717, + "step": 1406 + }, + { + "epoch": 0.27, + "learning_rate": 1.7138760817393133e-05, + "loss": 0.8545, + "step": 1407 + }, + { + "epoch": 0.27, + "learning_rate": 1.7134413394802872e-05, + "loss": 0.7864, + "step": 1408 + }, + { + "epoch": 0.27, + "learning_rate": 1.7130063224231643e-05, + "loss": 0.8955, + "step": 1409 + }, + { + "epoch": 0.27, + "learning_rate": 1.7125710307355017e-05, + "loss": 0.3371, + "step": 1410 + }, + { + "epoch": 0.27, + "learning_rate": 1.7121354645849618e-05, + "loss": 0.9478, + "step": 1411 + }, + { + "epoch": 0.27, + "learning_rate": 1.7116996241393122e-05, + "loss": 0.9386, + "step": 1412 + }, + { + "epoch": 0.27, + "learning_rate": 1.7112635095664272e-05, + "loss": 0.8365, + "step": 1413 + }, + { + "epoch": 0.27, + "learning_rate": 1.7108271210342863e-05, + "loss": 0.8889, + "step": 1414 + }, + { + "epoch": 0.27, + "learning_rate": 1.7103904587109745e-05, + "loss": 0.9125, + "step": 1415 + }, + { + "epoch": 0.27, + "learning_rate": 1.7099535227646817e-05, + "loss": 0.8192, + "step": 1416 + }, + { + "epoch": 0.27, + "learning_rate": 1.709516313363704e-05, + "loss": 0.8356, + "step": 1417 + }, + { + "epoch": 0.27, + "learning_rate": 1.7090788306764427e-05, + "loss": 0.8567, + "step": 1418 + }, + { + "epoch": 0.27, + "learning_rate": 1.7086410748714035e-05, + "loss": 0.7805, + "step": 1419 + }, + { + "epoch": 0.27, + "learning_rate": 1.7082030461171986e-05, + "loss": 0.8672, + "step": 1420 + }, + { + "epoch": 0.27, + "learning_rate": 1.7077647445825447e-05, + "loss": 0.8631, + "step": 1421 + }, + { + "epoch": 0.27, + "learning_rate": 1.7073261704362632e-05, + "loss": 0.8643, + "step": 1422 + }, + { + "epoch": 0.27, + "learning_rate": 1.706887323847281e-05, + "loss": 0.8971, + "step": 1423 + }, + { + "epoch": 0.27, + "learning_rate": 1.70644820498463e-05, + "loss": 0.8139, + "step": 1424 + }, + { + "epoch": 0.27, + "learning_rate": 1.7060088140174466e-05, + "loss": 0.8649, + "step": 1425 + }, + { + "epoch": 0.27, + "learning_rate": 1.7055691511149722e-05, + "loss": 0.8789, + "step": 1426 + }, + { + "epoch": 0.27, + "learning_rate": 1.7051292164465526e-05, + "loss": 0.8732, + "step": 1427 + }, + { + "epoch": 0.27, + "learning_rate": 1.7046890101816393e-05, + "loss": 0.8327, + "step": 1428 + }, + { + "epoch": 0.27, + "learning_rate": 1.704248532489787e-05, + "loss": 0.8265, + "step": 1429 + }, + { + "epoch": 0.27, + "learning_rate": 1.7038077835406565e-05, + "loss": 0.8576, + "step": 1430 + }, + { + "epoch": 0.27, + "learning_rate": 1.7033667635040115e-05, + "loss": 0.8569, + "step": 1431 + }, + { + "epoch": 0.27, + "learning_rate": 1.702925472549721e-05, + "loss": 0.8564, + "step": 1432 + }, + { + "epoch": 0.27, + "learning_rate": 1.7024839108477592e-05, + "loss": 0.8127, + "step": 1433 + }, + { + "epoch": 0.27, + "learning_rate": 1.702042078568202e-05, + "loss": 0.8551, + "step": 1434 + }, + { + "epoch": 0.27, + "learning_rate": 1.701599975881232e-05, + "loss": 0.8876, + "step": 1435 + }, + { + "epoch": 0.28, + "learning_rate": 1.701157602957135e-05, + "loss": 0.8283, + "step": 1436 + }, + { + "epoch": 0.28, + "learning_rate": 1.7007149599663005e-05, + "loss": 0.8408, + "step": 1437 + }, + { + "epoch": 0.28, + "learning_rate": 1.700272047079223e-05, + "loss": 0.8357, + "step": 1438 + }, + { + "epoch": 0.28, + "learning_rate": 1.6998288644665006e-05, + "loss": 0.8283, + "step": 1439 + }, + { + "epoch": 0.28, + "learning_rate": 1.699385412298834e-05, + "loss": 0.8831, + "step": 1440 + }, + { + "epoch": 0.28, + "learning_rate": 1.6989416907470304e-05, + "loss": 0.8783, + "step": 1441 + }, + { + "epoch": 0.28, + "learning_rate": 1.6984976999819983e-05, + "loss": 0.8611, + "step": 1442 + }, + { + "epoch": 0.28, + "learning_rate": 1.6980534401747507e-05, + "loss": 0.3401, + "step": 1443 + }, + { + "epoch": 0.28, + "learning_rate": 1.697608911496405e-05, + "loss": 0.9522, + "step": 1444 + }, + { + "epoch": 0.28, + "learning_rate": 1.697164114118181e-05, + "loss": 0.8138, + "step": 1445 + }, + { + "epoch": 0.28, + "learning_rate": 1.6967190482114025e-05, + "loss": 0.8766, + "step": 1446 + }, + { + "epoch": 0.28, + "learning_rate": 1.6962737139474966e-05, + "loss": 0.347, + "step": 1447 + }, + { + "epoch": 0.28, + "learning_rate": 1.6958281114979943e-05, + "loss": 0.8375, + "step": 1448 + }, + { + "epoch": 0.28, + "learning_rate": 1.6953822410345295e-05, + "loss": 0.8459, + "step": 1449 + }, + { + "epoch": 0.28, + "learning_rate": 1.6949361027288383e-05, + "loss": 0.8571, + "step": 1450 + }, + { + "epoch": 0.28, + "learning_rate": 1.6944896967527623e-05, + "loss": 0.9045, + "step": 1451 + }, + { + "epoch": 0.28, + "learning_rate": 1.694043023278244e-05, + "loss": 0.8471, + "step": 1452 + }, + { + "epoch": 0.28, + "learning_rate": 1.6935960824773307e-05, + "loss": 0.8659, + "step": 1453 + }, + { + "epoch": 0.28, + "learning_rate": 1.6931488745221707e-05, + "loss": 0.7915, + "step": 1454 + }, + { + "epoch": 0.28, + "learning_rate": 1.692701399585017e-05, + "loss": 0.8427, + "step": 1455 + }, + { + "epoch": 0.28, + "learning_rate": 1.6922536578382246e-05, + "loss": 0.8863, + "step": 1456 + }, + { + "epoch": 0.28, + "learning_rate": 1.691805649454251e-05, + "loss": 0.8638, + "step": 1457 + }, + { + "epoch": 0.28, + "learning_rate": 1.6913573746056574e-05, + "loss": 0.9035, + "step": 1458 + }, + { + "epoch": 0.28, + "learning_rate": 1.690908833465106e-05, + "loss": 0.9076, + "step": 1459 + }, + { + "epoch": 0.28, + "learning_rate": 1.6904600262053638e-05, + "loss": 0.8501, + "step": 1460 + }, + { + "epoch": 0.28, + "learning_rate": 1.6900109529992983e-05, + "loss": 0.8893, + "step": 1461 + }, + { + "epoch": 0.28, + "learning_rate": 1.6895616140198808e-05, + "loss": 0.8283, + "step": 1462 + }, + { + "epoch": 0.28, + "learning_rate": 1.6891120094401835e-05, + "loss": 0.8641, + "step": 1463 + }, + { + "epoch": 0.28, + "learning_rate": 1.6886621394333826e-05, + "loss": 0.8645, + "step": 1464 + }, + { + "epoch": 0.28, + "learning_rate": 1.6882120041727557e-05, + "loss": 0.8511, + "step": 1465 + }, + { + "epoch": 0.28, + "learning_rate": 1.687761603831682e-05, + "loss": 0.8393, + "step": 1466 + }, + { + "epoch": 0.28, + "learning_rate": 1.687310938583644e-05, + "loss": 0.8375, + "step": 1467 + }, + { + "epoch": 0.28, + "learning_rate": 1.686860008602225e-05, + "loss": 0.8213, + "step": 1468 + }, + { + "epoch": 0.28, + "learning_rate": 1.6864088140611115e-05, + "loss": 0.8628, + "step": 1469 + }, + { + "epoch": 0.28, + "learning_rate": 1.685957355134091e-05, + "loss": 0.9274, + "step": 1470 + }, + { + "epoch": 0.28, + "learning_rate": 1.6855056319950535e-05, + "loss": 0.8752, + "step": 1471 + }, + { + "epoch": 0.28, + "learning_rate": 1.68505364481799e-05, + "loss": 0.8339, + "step": 1472 + }, + { + "epoch": 0.28, + "learning_rate": 1.6846013937769935e-05, + "loss": 0.8192, + "step": 1473 + }, + { + "epoch": 0.28, + "learning_rate": 1.6841488790462593e-05, + "loss": 0.8636, + "step": 1474 + }, + { + "epoch": 0.28, + "learning_rate": 1.683696100800083e-05, + "loss": 0.8131, + "step": 1475 + }, + { + "epoch": 0.28, + "learning_rate": 1.6832430592128628e-05, + "loss": 0.8836, + "step": 1476 + }, + { + "epoch": 0.28, + "learning_rate": 1.682789754459098e-05, + "loss": 0.8687, + "step": 1477 + }, + { + "epoch": 0.28, + "learning_rate": 1.6823361867133892e-05, + "loss": 0.923, + "step": 1478 + }, + { + "epoch": 0.28, + "learning_rate": 1.681882356150438e-05, + "loss": 0.8859, + "step": 1479 + }, + { + "epoch": 0.28, + "learning_rate": 1.6814282629450478e-05, + "loss": 0.8139, + "step": 1480 + }, + { + "epoch": 0.28, + "learning_rate": 1.6809739072721227e-05, + "loss": 0.8576, + "step": 1481 + }, + { + "epoch": 0.28, + "learning_rate": 1.6805192893066682e-05, + "loss": 0.7979, + "step": 1482 + }, + { + "epoch": 0.28, + "learning_rate": 1.6800644092237907e-05, + "loss": 0.8423, + "step": 1483 + }, + { + "epoch": 0.28, + "learning_rate": 1.6796092671986977e-05, + "loss": 0.8713, + "step": 1484 + }, + { + "epoch": 0.28, + "learning_rate": 1.679153863406697e-05, + "loss": 0.8523, + "step": 1485 + }, + { + "epoch": 0.28, + "learning_rate": 1.6786981980231984e-05, + "loss": 0.8628, + "step": 1486 + }, + { + "epoch": 0.28, + "learning_rate": 1.6782422712237107e-05, + "loss": 0.856, + "step": 1487 + }, + { + "epoch": 0.29, + "learning_rate": 1.6777860831838455e-05, + "loss": 0.8872, + "step": 1488 + }, + { + "epoch": 0.29, + "learning_rate": 1.6773296340793135e-05, + "loss": 0.9099, + "step": 1489 + }, + { + "epoch": 0.29, + "learning_rate": 1.6768729240859264e-05, + "loss": 0.853, + "step": 1490 + }, + { + "epoch": 0.29, + "learning_rate": 1.6764159533795968e-05, + "loss": 0.9235, + "step": 1491 + }, + { + "epoch": 0.29, + "learning_rate": 1.6759587221363366e-05, + "loss": 0.8338, + "step": 1492 + }, + { + "epoch": 0.29, + "learning_rate": 1.6755012305322595e-05, + "loss": 0.9153, + "step": 1493 + }, + { + "epoch": 0.29, + "learning_rate": 1.6750434787435778e-05, + "loss": 0.882, + "step": 1494 + }, + { + "epoch": 0.29, + "learning_rate": 1.6745854669466065e-05, + "loss": 0.8717, + "step": 1495 + }, + { + "epoch": 0.29, + "learning_rate": 1.6741271953177576e-05, + "loss": 0.8542, + "step": 1496 + }, + { + "epoch": 0.29, + "learning_rate": 1.6736686640335455e-05, + "loss": 0.8466, + "step": 1497 + }, + { + "epoch": 0.29, + "learning_rate": 1.6732098732705844e-05, + "loss": 0.847, + "step": 1498 + }, + { + "epoch": 0.29, + "learning_rate": 1.6727508232055867e-05, + "loss": 0.8448, + "step": 1499 + }, + { + "epoch": 0.29, + "learning_rate": 1.6722915140153676e-05, + "loss": 0.8312, + "step": 1500 + }, + { + "epoch": 0.29, + "learning_rate": 1.671831945876839e-05, + "loss": 0.9385, + "step": 1501 + }, + { + "epoch": 0.29, + "learning_rate": 1.6713721189670148e-05, + "loss": 0.8279, + "step": 1502 + }, + { + "epoch": 0.29, + "learning_rate": 1.670912033463007e-05, + "loss": 0.936, + "step": 1503 + }, + { + "epoch": 0.29, + "learning_rate": 1.670451689542029e-05, + "loss": 0.8933, + "step": 1504 + }, + { + "epoch": 0.29, + "learning_rate": 1.669991087381392e-05, + "loss": 0.3793, + "step": 1505 + }, + { + "epoch": 0.29, + "learning_rate": 1.6695302271585073e-05, + "loss": 0.8942, + "step": 1506 + }, + { + "epoch": 0.29, + "learning_rate": 1.669069109050886e-05, + "loss": 0.8158, + "step": 1507 + }, + { + "epoch": 0.29, + "learning_rate": 1.668607733236138e-05, + "loss": 0.8619, + "step": 1508 + }, + { + "epoch": 0.29, + "learning_rate": 1.6681460998919727e-05, + "loss": 0.8232, + "step": 1509 + }, + { + "epoch": 0.29, + "learning_rate": 1.6676842091961985e-05, + "loss": 0.8528, + "step": 1510 + }, + { + "epoch": 0.29, + "learning_rate": 1.6672220613267233e-05, + "loss": 0.8617, + "step": 1511 + }, + { + "epoch": 0.29, + "learning_rate": 1.666759656461554e-05, + "loss": 0.8228, + "step": 1512 + }, + { + "epoch": 0.29, + "learning_rate": 1.6662969947787955e-05, + "loss": 0.9115, + "step": 1513 + }, + { + "epoch": 0.29, + "learning_rate": 1.6658340764566533e-05, + "loss": 0.3792, + "step": 1514 + }, + { + "epoch": 0.29, + "learning_rate": 1.6653709016734306e-05, + "loss": 0.857, + "step": 1515 + }, + { + "epoch": 0.29, + "learning_rate": 1.6649074706075296e-05, + "loss": 0.8395, + "step": 1516 + }, + { + "epoch": 0.29, + "learning_rate": 1.6644437834374508e-05, + "loss": 0.3622, + "step": 1517 + }, + { + "epoch": 0.29, + "learning_rate": 1.6639798403417944e-05, + "loss": 0.8476, + "step": 1518 + }, + { + "epoch": 0.29, + "learning_rate": 1.663515641499259e-05, + "loss": 0.8545, + "step": 1519 + }, + { + "epoch": 0.29, + "learning_rate": 1.6630511870886404e-05, + "loss": 0.8724, + "step": 1520 + }, + { + "epoch": 0.29, + "learning_rate": 1.662586477288834e-05, + "loss": 0.7855, + "step": 1521 + }, + { + "epoch": 0.29, + "learning_rate": 1.6621215122788336e-05, + "loss": 0.889, + "step": 1522 + }, + { + "epoch": 0.29, + "learning_rate": 1.661656292237731e-05, + "loss": 0.8878, + "step": 1523 + }, + { + "epoch": 0.29, + "learning_rate": 1.661190817344716e-05, + "loss": 0.8865, + "step": 1524 + }, + { + "epoch": 0.29, + "learning_rate": 1.660725087779077e-05, + "loss": 0.844, + "step": 1525 + }, + { + "epoch": 0.29, + "learning_rate": 1.6602591037202e-05, + "loss": 0.8003, + "step": 1526 + }, + { + "epoch": 0.29, + "learning_rate": 1.6597928653475692e-05, + "loss": 0.8519, + "step": 1527 + }, + { + "epoch": 0.29, + "learning_rate": 1.659326372840768e-05, + "loss": 0.8938, + "step": 1528 + }, + { + "epoch": 0.29, + "learning_rate": 1.6588596263794752e-05, + "loss": 0.8819, + "step": 1529 + }, + { + "epoch": 0.29, + "learning_rate": 1.658392626143469e-05, + "loss": 0.3537, + "step": 1530 + }, + { + "epoch": 0.29, + "learning_rate": 1.6579253723126258e-05, + "loss": 0.8863, + "step": 1531 + }, + { + "epoch": 0.29, + "learning_rate": 1.6574578650669187e-05, + "loss": 0.3578, + "step": 1532 + }, + { + "epoch": 0.29, + "learning_rate": 1.6569901045864186e-05, + "loss": 0.7495, + "step": 1533 + }, + { + "epoch": 0.29, + "learning_rate": 1.6565220910512937e-05, + "loss": 0.866, + "step": 1534 + }, + { + "epoch": 0.29, + "learning_rate": 1.656053824641811e-05, + "loss": 0.8338, + "step": 1535 + }, + { + "epoch": 0.29, + "learning_rate": 1.6555853055383327e-05, + "loss": 0.8764, + "step": 1536 + }, + { + "epoch": 0.29, + "learning_rate": 1.6551165339213208e-05, + "loss": 0.8207, + "step": 1537 + }, + { + "epoch": 0.29, + "learning_rate": 1.654647509971332e-05, + "loss": 0.8792, + "step": 1538 + }, + { + "epoch": 0.29, + "learning_rate": 1.654178233869023e-05, + "loss": 0.8397, + "step": 1539 + }, + { + "epoch": 0.3, + "learning_rate": 1.6537087057951445e-05, + "loss": 0.8646, + "step": 1540 + }, + { + "epoch": 0.3, + "learning_rate": 1.653238925930547e-05, + "loss": 0.7911, + "step": 1541 + }, + { + "epoch": 0.3, + "learning_rate": 1.6527688944561766e-05, + "loss": 0.7968, + "step": 1542 + }, + { + "epoch": 0.3, + "learning_rate": 1.6522986115530767e-05, + "loss": 0.7915, + "step": 1543 + }, + { + "epoch": 0.3, + "learning_rate": 1.651828077402387e-05, + "loss": 0.9083, + "step": 1544 + }, + { + "epoch": 0.3, + "learning_rate": 1.6513572921853445e-05, + "loss": 0.7999, + "step": 1545 + }, + { + "epoch": 0.3, + "learning_rate": 1.6508862560832827e-05, + "loss": 0.9311, + "step": 1546 + }, + { + "epoch": 0.3, + "learning_rate": 1.6504149692776326e-05, + "loss": 0.8929, + "step": 1547 + }, + { + "epoch": 0.3, + "learning_rate": 1.6499434319499198e-05, + "loss": 0.8242, + "step": 1548 + }, + { + "epoch": 0.3, + "learning_rate": 1.6494716442817685e-05, + "loss": 0.8958, + "step": 1549 + }, + { + "epoch": 0.3, + "learning_rate": 1.6489996064548985e-05, + "loss": 0.895, + "step": 1550 + }, + { + "epoch": 0.3, + "learning_rate": 1.6485273186511247e-05, + "loss": 0.8883, + "step": 1551 + }, + { + "epoch": 0.3, + "learning_rate": 1.648054781052361e-05, + "loss": 0.8646, + "step": 1552 + }, + { + "epoch": 0.3, + "learning_rate": 1.6475819938406146e-05, + "loss": 0.8664, + "step": 1553 + }, + { + "epoch": 0.3, + "learning_rate": 1.647108957197991e-05, + "loss": 0.8933, + "step": 1554 + }, + { + "epoch": 0.3, + "learning_rate": 1.6466356713066913e-05, + "loss": 0.7867, + "step": 1555 + }, + { + "epoch": 0.3, + "learning_rate": 1.646162136349011e-05, + "loss": 0.8143, + "step": 1556 + }, + { + "epoch": 0.3, + "learning_rate": 1.645688352507344e-05, + "loss": 0.8317, + "step": 1557 + }, + { + "epoch": 0.3, + "learning_rate": 1.6452143199641782e-05, + "loss": 0.8891, + "step": 1558 + }, + { + "epoch": 0.3, + "learning_rate": 1.6447400389020983e-05, + "loss": 0.8496, + "step": 1559 + }, + { + "epoch": 0.3, + "learning_rate": 1.6442655095037843e-05, + "loss": 0.8769, + "step": 1560 + }, + { + "epoch": 0.3, + "learning_rate": 1.6437907319520123e-05, + "loss": 0.7693, + "step": 1561 + }, + { + "epoch": 0.3, + "learning_rate": 1.6433157064296532e-05, + "loss": 0.8883, + "step": 1562 + }, + { + "epoch": 0.3, + "learning_rate": 1.6428404331196738e-05, + "loss": 0.8851, + "step": 1563 + }, + { + "epoch": 0.3, + "learning_rate": 1.6423649122051366e-05, + "loss": 0.878, + "step": 1564 + }, + { + "epoch": 0.3, + "learning_rate": 1.6418891438691992e-05, + "loss": 0.8705, + "step": 1565 + }, + { + "epoch": 0.3, + "learning_rate": 1.6414131282951147e-05, + "loss": 0.887, + "step": 1566 + }, + { + "epoch": 0.3, + "learning_rate": 1.6409368656662308e-05, + "loss": 0.8463, + "step": 1567 + }, + { + "epoch": 0.3, + "learning_rate": 1.6404603561659914e-05, + "loss": 0.8506, + "step": 1568 + }, + { + "epoch": 0.3, + "learning_rate": 1.6399835999779345e-05, + "loss": 0.8558, + "step": 1569 + }, + { + "epoch": 0.3, + "learning_rate": 1.639506597285694e-05, + "loss": 0.8248, + "step": 1570 + }, + { + "epoch": 0.3, + "learning_rate": 1.639029348272998e-05, + "loss": 0.8572, + "step": 1571 + }, + { + "epoch": 0.3, + "learning_rate": 1.6385518531236696e-05, + "loss": 0.8524, + "step": 1572 + }, + { + "epoch": 0.3, + "learning_rate": 1.6380741120216275e-05, + "loss": 0.8424, + "step": 1573 + }, + { + "epoch": 0.3, + "learning_rate": 1.637596125150884e-05, + "loss": 0.9056, + "step": 1574 + }, + { + "epoch": 0.3, + "learning_rate": 1.6371178926955466e-05, + "loss": 0.7612, + "step": 1575 + }, + { + "epoch": 0.3, + "learning_rate": 1.6366394148398173e-05, + "loss": 0.3276, + "step": 1576 + }, + { + "epoch": 0.3, + "learning_rate": 1.6361606917679926e-05, + "loss": 0.3897, + "step": 1577 + }, + { + "epoch": 0.3, + "learning_rate": 1.6356817236644643e-05, + "loss": 0.8865, + "step": 1578 + }, + { + "epoch": 0.3, + "learning_rate": 1.6352025107137173e-05, + "loss": 0.8208, + "step": 1579 + }, + { + "epoch": 0.3, + "learning_rate": 1.634723053100331e-05, + "loss": 0.8407, + "step": 1580 + }, + { + "epoch": 0.3, + "learning_rate": 1.63424335100898e-05, + "loss": 0.8859, + "step": 1581 + }, + { + "epoch": 0.3, + "learning_rate": 1.6337634046244317e-05, + "loss": 0.7901, + "step": 1582 + }, + { + "epoch": 0.3, + "learning_rate": 1.6332832141315485e-05, + "loss": 0.8699, + "step": 1583 + }, + { + "epoch": 0.3, + "learning_rate": 1.6328027797152875e-05, + "loss": 0.8724, + "step": 1584 + }, + { + "epoch": 0.3, + "learning_rate": 1.632322101560698e-05, + "loss": 0.9055, + "step": 1585 + }, + { + "epoch": 0.3, + "learning_rate": 1.6318411798529245e-05, + "loss": 0.8678, + "step": 1586 + }, + { + "epoch": 0.3, + "learning_rate": 1.6313600147772046e-05, + "loss": 0.8083, + "step": 1587 + }, + { + "epoch": 0.3, + "learning_rate": 1.6308786065188703e-05, + "loss": 0.8198, + "step": 1588 + }, + { + "epoch": 0.3, + "learning_rate": 1.6303969552633464e-05, + "loss": 0.8338, + "step": 1589 + }, + { + "epoch": 0.3, + "learning_rate": 1.6299150611961522e-05, + "loss": 0.7576, + "step": 1590 + }, + { + "epoch": 0.3, + "learning_rate": 1.6294329245029e-05, + "loss": 0.9061, + "step": 1591 + }, + { + "epoch": 0.3, + "learning_rate": 1.628950545369296e-05, + "loss": 0.866, + "step": 1592 + }, + { + "epoch": 0.31, + "learning_rate": 1.6284679239811385e-05, + "loss": 0.8608, + "step": 1593 + }, + { + "epoch": 0.31, + "learning_rate": 1.6279850605243204e-05, + "loss": 0.8262, + "step": 1594 + }, + { + "epoch": 0.31, + "learning_rate": 1.627501955184829e-05, + "loss": 0.9076, + "step": 1595 + }, + { + "epoch": 0.31, + "learning_rate": 1.627018608148741e-05, + "loss": 0.8218, + "step": 1596 + }, + { + "epoch": 0.31, + "learning_rate": 1.6265350196022298e-05, + "loss": 0.8838, + "step": 1597 + }, + { + "epoch": 0.31, + "learning_rate": 1.6260511897315606e-05, + "loss": 0.8662, + "step": 1598 + }, + { + "epoch": 0.31, + "learning_rate": 1.6255671187230905e-05, + "loss": 0.4004, + "step": 1599 + }, + { + "epoch": 0.31, + "learning_rate": 1.6250828067632715e-05, + "loss": 0.8452, + "step": 1600 + }, + { + "epoch": 0.31, + "learning_rate": 1.624598254038646e-05, + "loss": 0.3948, + "step": 1601 + }, + { + "epoch": 0.31, + "learning_rate": 1.6241134607358516e-05, + "loss": 0.9011, + "step": 1602 + }, + { + "epoch": 0.31, + "learning_rate": 1.623628427041617e-05, + "loss": 0.8051, + "step": 1603 + }, + { + "epoch": 0.31, + "learning_rate": 1.6231431531427644e-05, + "loss": 0.8886, + "step": 1604 + }, + { + "epoch": 0.31, + "learning_rate": 1.622657639226207e-05, + "loss": 0.7861, + "step": 1605 + }, + { + "epoch": 0.31, + "learning_rate": 1.6221718854789526e-05, + "loss": 0.8809, + "step": 1606 + }, + { + "epoch": 0.31, + "learning_rate": 1.6216858920881e-05, + "loss": 0.7969, + "step": 1607 + }, + { + "epoch": 0.31, + "learning_rate": 1.621199659240839e-05, + "loss": 0.8395, + "step": 1608 + }, + { + "epoch": 0.31, + "learning_rate": 1.6207131871244558e-05, + "loss": 0.8564, + "step": 1609 + }, + { + "epoch": 0.31, + "learning_rate": 1.6202264759263245e-05, + "loss": 0.9406, + "step": 1610 + }, + { + "epoch": 0.31, + "learning_rate": 1.6197395258339135e-05, + "loss": 0.8532, + "step": 1611 + }, + { + "epoch": 0.31, + "learning_rate": 1.619252337034782e-05, + "loss": 0.3777, + "step": 1612 + }, + { + "epoch": 0.31, + "learning_rate": 1.6187649097165827e-05, + "loss": 0.8531, + "step": 1613 + }, + { + "epoch": 0.31, + "learning_rate": 1.6182772440670585e-05, + "loss": 0.8186, + "step": 1614 + }, + { + "epoch": 0.31, + "learning_rate": 1.6177893402740457e-05, + "loss": 0.8634, + "step": 1615 + }, + { + "epoch": 0.31, + "learning_rate": 1.6173011985254707e-05, + "loss": 0.7988, + "step": 1616 + }, + { + "epoch": 0.31, + "learning_rate": 1.616812819009353e-05, + "loss": 0.8665, + "step": 1617 + }, + { + "epoch": 0.31, + "learning_rate": 1.6163242019138025e-05, + "loss": 0.9063, + "step": 1618 + }, + { + "epoch": 0.31, + "learning_rate": 1.6158353474270216e-05, + "loss": 0.8918, + "step": 1619 + }, + { + "epoch": 0.31, + "learning_rate": 1.6153462557373032e-05, + "loss": 0.8294, + "step": 1620 + }, + { + "epoch": 0.31, + "learning_rate": 1.6148569270330323e-05, + "loss": 0.8955, + "step": 1621 + }, + { + "epoch": 0.31, + "learning_rate": 1.614367361502685e-05, + "loss": 0.8113, + "step": 1622 + }, + { + "epoch": 0.31, + "learning_rate": 1.6138775593348288e-05, + "loss": 0.874, + "step": 1623 + }, + { + "epoch": 0.31, + "learning_rate": 1.6133875207181216e-05, + "loss": 0.8614, + "step": 1624 + }, + { + "epoch": 0.31, + "learning_rate": 1.6128972458413128e-05, + "loss": 0.8665, + "step": 1625 + }, + { + "epoch": 0.31, + "learning_rate": 1.6124067348932434e-05, + "loss": 0.8728, + "step": 1626 + }, + { + "epoch": 0.31, + "learning_rate": 1.6119159880628443e-05, + "loss": 0.8693, + "step": 1627 + }, + { + "epoch": 0.31, + "learning_rate": 1.6114250055391387e-05, + "loss": 0.8388, + "step": 1628 + }, + { + "epoch": 0.31, + "learning_rate": 1.6109337875112384e-05, + "loss": 0.8756, + "step": 1629 + }, + { + "epoch": 0.31, + "learning_rate": 1.6104423341683476e-05, + "loss": 0.8425, + "step": 1630 + }, + { + "epoch": 0.31, + "learning_rate": 1.6099506456997613e-05, + "loss": 0.846, + "step": 1631 + }, + { + "epoch": 0.31, + "learning_rate": 1.6094587222948634e-05, + "loss": 0.7866, + "step": 1632 + }, + { + "epoch": 0.31, + "learning_rate": 1.6089665641431302e-05, + "loss": 0.8529, + "step": 1633 + }, + { + "epoch": 0.31, + "learning_rate": 1.6084741714341273e-05, + "loss": 0.8693, + "step": 1634 + }, + { + "epoch": 0.31, + "learning_rate": 1.6079815443575107e-05, + "loss": 0.8362, + "step": 1635 + }, + { + "epoch": 0.31, + "learning_rate": 1.607488683103027e-05, + "loss": 0.8271, + "step": 1636 + }, + { + "epoch": 0.31, + "learning_rate": 1.6069955878605135e-05, + "loss": 0.875, + "step": 1637 + }, + { + "epoch": 0.31, + "learning_rate": 1.6065022588198964e-05, + "loss": 0.86, + "step": 1638 + }, + { + "epoch": 0.31, + "learning_rate": 1.606008696171192e-05, + "loss": 0.8108, + "step": 1639 + }, + { + "epoch": 0.31, + "learning_rate": 1.6055149001045078e-05, + "loss": 0.3902, + "step": 1640 + }, + { + "epoch": 0.31, + "learning_rate": 1.6050208708100407e-05, + "loss": 0.7143, + "step": 1641 + }, + { + "epoch": 0.31, + "learning_rate": 1.6045266084780772e-05, + "loss": 0.8672, + "step": 1642 + }, + { + "epoch": 0.31, + "learning_rate": 1.6040321132989933e-05, + "loss": 0.8866, + "step": 1643 + }, + { + "epoch": 0.31, + "learning_rate": 1.6035373854632552e-05, + "loss": 0.8295, + "step": 1644 + }, + { + "epoch": 0.32, + "learning_rate": 1.6030424251614187e-05, + "loss": 0.8178, + "step": 1645 + }, + { + "epoch": 0.32, + "learning_rate": 1.6025472325841284e-05, + "loss": 0.8067, + "step": 1646 + }, + { + "epoch": 0.32, + "learning_rate": 1.60205180792212e-05, + "loss": 0.8616, + "step": 1647 + }, + { + "epoch": 0.32, + "learning_rate": 1.6015561513662165e-05, + "loss": 0.8097, + "step": 1648 + }, + { + "epoch": 0.32, + "learning_rate": 1.6010602631073316e-05, + "loss": 0.8169, + "step": 1649 + }, + { + "epoch": 0.32, + "learning_rate": 1.6005641433364682e-05, + "loss": 0.9054, + "step": 1650 + }, + { + "epoch": 0.32, + "learning_rate": 1.6000677922447175e-05, + "loss": 0.8489, + "step": 1651 + }, + { + "epoch": 0.32, + "learning_rate": 1.5995712100232613e-05, + "loss": 0.8977, + "step": 1652 + }, + { + "epoch": 0.32, + "learning_rate": 1.5990743968633682e-05, + "loss": 0.8455, + "step": 1653 + }, + { + "epoch": 0.32, + "learning_rate": 1.598577352956398e-05, + "loss": 0.8614, + "step": 1654 + }, + { + "epoch": 0.32, + "learning_rate": 1.598080078493798e-05, + "loss": 0.8876, + "step": 1655 + }, + { + "epoch": 0.32, + "learning_rate": 1.597582573667105e-05, + "loss": 0.8291, + "step": 1656 + }, + { + "epoch": 0.32, + "learning_rate": 1.5970848386679442e-05, + "loss": 0.3514, + "step": 1657 + }, + { + "epoch": 0.32, + "learning_rate": 1.5965868736880295e-05, + "loss": 0.8971, + "step": 1658 + }, + { + "epoch": 0.32, + "learning_rate": 1.5960886789191632e-05, + "loss": 0.8121, + "step": 1659 + }, + { + "epoch": 0.32, + "learning_rate": 1.5955902545532366e-05, + "loss": 0.8185, + "step": 1660 + }, + { + "epoch": 0.32, + "learning_rate": 1.5950916007822285e-05, + "loss": 0.9049, + "step": 1661 + }, + { + "epoch": 0.32, + "learning_rate": 1.5945927177982076e-05, + "loss": 0.8658, + "step": 1662 + }, + { + "epoch": 0.32, + "learning_rate": 1.5940936057933293e-05, + "loss": 0.8461, + "step": 1663 + }, + { + "epoch": 0.32, + "learning_rate": 1.5935942649598386e-05, + "loss": 0.7922, + "step": 1664 + }, + { + "epoch": 0.32, + "learning_rate": 1.593094695490067e-05, + "loss": 0.8612, + "step": 1665 + }, + { + "epoch": 0.32, + "learning_rate": 1.592594897576436e-05, + "loss": 0.7863, + "step": 1666 + }, + { + "epoch": 0.32, + "learning_rate": 1.592094871411453e-05, + "loss": 0.8347, + "step": 1667 + }, + { + "epoch": 0.32, + "learning_rate": 1.5915946171877155e-05, + "loss": 0.8384, + "step": 1668 + }, + { + "epoch": 0.32, + "learning_rate": 1.591094135097907e-05, + "loss": 0.8264, + "step": 1669 + }, + { + "epoch": 0.32, + "learning_rate": 1.5905934253347998e-05, + "loss": 0.3889, + "step": 1670 + }, + { + "epoch": 0.32, + "learning_rate": 1.5900924880912535e-05, + "loss": 0.406, + "step": 1671 + }, + { + "epoch": 0.32, + "learning_rate": 1.5895913235602157e-05, + "loss": 0.8618, + "step": 1672 + }, + { + "epoch": 0.32, + "learning_rate": 1.589089931934721e-05, + "loss": 0.8717, + "step": 1673 + }, + { + "epoch": 0.32, + "learning_rate": 1.5885883134078915e-05, + "loss": 0.862, + "step": 1674 + }, + { + "epoch": 0.32, + "learning_rate": 1.5880864681729376e-05, + "loss": 0.8392, + "step": 1675 + }, + { + "epoch": 0.32, + "learning_rate": 1.587584396423156e-05, + "loss": 0.8021, + "step": 1676 + }, + { + "epoch": 0.32, + "learning_rate": 1.587082098351931e-05, + "loss": 0.8738, + "step": 1677 + }, + { + "epoch": 0.32, + "learning_rate": 1.586579574152734e-05, + "loss": 0.8797, + "step": 1678 + }, + { + "epoch": 0.32, + "learning_rate": 1.5860768240191237e-05, + "loss": 0.8599, + "step": 1679 + }, + { + "epoch": 0.32, + "learning_rate": 1.5855738481447458e-05, + "loss": 0.8615, + "step": 1680 + }, + { + "epoch": 0.32, + "learning_rate": 1.585070646723333e-05, + "loss": 0.8885, + "step": 1681 + }, + { + "epoch": 0.32, + "learning_rate": 1.5845672199487037e-05, + "loss": 0.7862, + "step": 1682 + }, + { + "epoch": 0.32, + "learning_rate": 1.5840635680147654e-05, + "loss": 0.9293, + "step": 1683 + }, + { + "epoch": 0.32, + "learning_rate": 1.5835596911155107e-05, + "loss": 0.7562, + "step": 1684 + }, + { + "epoch": 0.32, + "learning_rate": 1.5830555894450188e-05, + "loss": 0.8365, + "step": 1685 + }, + { + "epoch": 0.32, + "learning_rate": 1.582551263197456e-05, + "loss": 0.8852, + "step": 1686 + }, + { + "epoch": 0.32, + "learning_rate": 1.5820467125670757e-05, + "loss": 0.8552, + "step": 1687 + }, + { + "epoch": 0.32, + "learning_rate": 1.581541937748216e-05, + "loss": 0.8395, + "step": 1688 + }, + { + "epoch": 0.32, + "learning_rate": 1.581036938935303e-05, + "loss": 0.8683, + "step": 1689 + }, + { + "epoch": 0.32, + "learning_rate": 1.5805317163228483e-05, + "loss": 0.8056, + "step": 1690 + }, + { + "epoch": 0.32, + "learning_rate": 1.5800262701054494e-05, + "loss": 0.8555, + "step": 1691 + }, + { + "epoch": 0.32, + "learning_rate": 1.579520600477791e-05, + "loss": 0.3529, + "step": 1692 + }, + { + "epoch": 0.32, + "learning_rate": 1.579014707634643e-05, + "loss": 0.8633, + "step": 1693 + }, + { + "epoch": 0.32, + "learning_rate": 1.5785085917708612e-05, + "loss": 0.3765, + "step": 1694 + }, + { + "epoch": 0.32, + "learning_rate": 1.5780022530813883e-05, + "loss": 0.8284, + "step": 1695 + }, + { + "epoch": 0.32, + "learning_rate": 1.577495691761251e-05, + "loss": 0.7907, + "step": 1696 + }, + { + "epoch": 0.33, + "learning_rate": 1.5769889080055638e-05, + "loss": 0.8543, + "step": 1697 + }, + { + "epoch": 0.33, + "learning_rate": 1.5764819020095258e-05, + "loss": 0.8428, + "step": 1698 + }, + { + "epoch": 0.33, + "learning_rate": 1.5759746739684213e-05, + "loss": 0.8172, + "step": 1699 + }, + { + "epoch": 0.33, + "learning_rate": 1.5754672240776214e-05, + "loss": 0.7899, + "step": 1700 + }, + { + "epoch": 0.33, + "learning_rate": 1.5749595525325814e-05, + "loss": 0.8394, + "step": 1701 + }, + { + "epoch": 0.33, + "learning_rate": 1.574451659528843e-05, + "loss": 0.8073, + "step": 1702 + }, + { + "epoch": 0.33, + "learning_rate": 1.573943545262032e-05, + "loss": 0.8199, + "step": 1703 + }, + { + "epoch": 0.33, + "learning_rate": 1.573435209927861e-05, + "loss": 0.8199, + "step": 1704 + }, + { + "epoch": 0.33, + "learning_rate": 1.572926653722126e-05, + "loss": 0.7988, + "step": 1705 + }, + { + "epoch": 0.33, + "learning_rate": 1.5724178768407094e-05, + "loss": 0.8406, + "step": 1706 + }, + { + "epoch": 0.33, + "learning_rate": 1.5719088794795782e-05, + "loss": 0.8257, + "step": 1707 + }, + { + "epoch": 0.33, + "learning_rate": 1.571399661834784e-05, + "loss": 0.897, + "step": 1708 + }, + { + "epoch": 0.33, + "learning_rate": 1.5708902241024638e-05, + "loss": 0.8402, + "step": 1709 + }, + { + "epoch": 0.33, + "learning_rate": 1.570380566478839e-05, + "loss": 0.8837, + "step": 1710 + }, + { + "epoch": 0.33, + "learning_rate": 1.5698706891602156e-05, + "loss": 0.8279, + "step": 1711 + }, + { + "epoch": 0.33, + "learning_rate": 1.5693605923429846e-05, + "loss": 0.8835, + "step": 1712 + }, + { + "epoch": 0.33, + "learning_rate": 1.5688502762236207e-05, + "loss": 0.8886, + "step": 1713 + }, + { + "epoch": 0.33, + "learning_rate": 1.5683397409986852e-05, + "loss": 0.8216, + "step": 1714 + }, + { + "epoch": 0.33, + "learning_rate": 1.567828986864821e-05, + "loss": 0.8508, + "step": 1715 + }, + { + "epoch": 0.33, + "learning_rate": 1.567318014018757e-05, + "loss": 0.7873, + "step": 1716 + }, + { + "epoch": 0.33, + "learning_rate": 1.566806822657306e-05, + "loss": 0.8295, + "step": 1717 + }, + { + "epoch": 0.33, + "learning_rate": 1.566295412977365e-05, + "loss": 0.9164, + "step": 1718 + }, + { + "epoch": 0.33, + "learning_rate": 1.565783785175915e-05, + "loss": 0.9055, + "step": 1719 + }, + { + "epoch": 0.33, + "learning_rate": 1.5652719394500207e-05, + "loss": 0.8628, + "step": 1720 + }, + { + "epoch": 0.33, + "learning_rate": 1.5647598759968318e-05, + "loss": 0.8097, + "step": 1721 + }, + { + "epoch": 0.33, + "learning_rate": 1.5642475950135803e-05, + "loss": 0.8227, + "step": 1722 + }, + { + "epoch": 0.33, + "learning_rate": 1.5637350966975832e-05, + "loss": 0.8085, + "step": 1723 + }, + { + "epoch": 0.33, + "learning_rate": 1.563222381246241e-05, + "loss": 0.8761, + "step": 1724 + }, + { + "epoch": 0.33, + "learning_rate": 1.5627094488570378e-05, + "loss": 0.8022, + "step": 1725 + }, + { + "epoch": 0.33, + "learning_rate": 1.562196299727541e-05, + "loss": 0.906, + "step": 1726 + }, + { + "epoch": 0.33, + "learning_rate": 1.561682934055401e-05, + "loss": 0.8721, + "step": 1727 + }, + { + "epoch": 0.33, + "learning_rate": 1.561169352038353e-05, + "loss": 0.8384, + "step": 1728 + }, + { + "epoch": 0.33, + "learning_rate": 1.5606555538742144e-05, + "loss": 0.8671, + "step": 1729 + }, + { + "epoch": 0.33, + "learning_rate": 1.560141539760886e-05, + "loss": 0.8367, + "step": 1730 + }, + { + "epoch": 0.33, + "learning_rate": 1.5596273098963526e-05, + "loss": 0.8833, + "step": 1731 + }, + { + "epoch": 0.33, + "learning_rate": 1.5591128644786813e-05, + "loss": 0.8496, + "step": 1732 + }, + { + "epoch": 0.33, + "learning_rate": 1.558598203706022e-05, + "loss": 0.8826, + "step": 1733 + }, + { + "epoch": 0.33, + "learning_rate": 1.558083327776608e-05, + "loss": 0.8231, + "step": 1734 + }, + { + "epoch": 0.33, + "learning_rate": 1.5575682368887563e-05, + "loss": 0.3741, + "step": 1735 + }, + { + "epoch": 0.33, + "learning_rate": 1.5570529312408643e-05, + "loss": 0.374, + "step": 1736 + }, + { + "epoch": 0.33, + "learning_rate": 1.556537411031415e-05, + "loss": 0.8798, + "step": 1737 + }, + { + "epoch": 0.33, + "learning_rate": 1.556021676458972e-05, + "loss": 0.8367, + "step": 1738 + }, + { + "epoch": 0.33, + "learning_rate": 1.5555057277221827e-05, + "loss": 0.8753, + "step": 1739 + }, + { + "epoch": 0.33, + "learning_rate": 1.554989565019776e-05, + "loss": 0.8571, + "step": 1740 + }, + { + "epoch": 0.33, + "learning_rate": 1.5544731885505636e-05, + "loss": 0.8555, + "step": 1741 + }, + { + "epoch": 0.33, + "learning_rate": 1.55395659851344e-05, + "loss": 0.8692, + "step": 1742 + }, + { + "epoch": 0.33, + "learning_rate": 1.5534397951073804e-05, + "loss": 0.8006, + "step": 1743 + }, + { + "epoch": 0.33, + "learning_rate": 1.5529227785314455e-05, + "loss": 0.7901, + "step": 1744 + }, + { + "epoch": 0.33, + "learning_rate": 1.5524055489847742e-05, + "loss": 0.9017, + "step": 1745 + }, + { + "epoch": 0.33, + "learning_rate": 1.5518881066665894e-05, + "loss": 0.7955, + "step": 1746 + }, + { + "epoch": 0.33, + "learning_rate": 1.551370451776196e-05, + "loss": 0.815, + "step": 1747 + }, + { + "epoch": 0.33, + "learning_rate": 1.5508525845129807e-05, + "loss": 0.4006, + "step": 1748 + }, + { + "epoch": 0.34, + "learning_rate": 1.550334505076412e-05, + "loss": 0.8876, + "step": 1749 + }, + { + "epoch": 0.34, + "learning_rate": 1.549816213666039e-05, + "loss": 0.846, + "step": 1750 + }, + { + "epoch": 0.34, + "learning_rate": 1.5492977104814943e-05, + "loss": 0.8852, + "step": 1751 + }, + { + "epoch": 0.34, + "learning_rate": 1.5487789957224904e-05, + "loss": 0.8875, + "step": 1752 + }, + { + "epoch": 0.34, + "learning_rate": 1.548260069588823e-05, + "loss": 0.8395, + "step": 1753 + }, + { + "epoch": 0.34, + "learning_rate": 1.547740932280367e-05, + "loss": 0.8003, + "step": 1754 + }, + { + "epoch": 0.34, + "learning_rate": 1.547221583997081e-05, + "loss": 0.8591, + "step": 1755 + }, + { + "epoch": 0.34, + "learning_rate": 1.5467020249390038e-05, + "loss": 0.8085, + "step": 1756 + }, + { + "epoch": 0.34, + "learning_rate": 1.546182255306254e-05, + "loss": 0.8561, + "step": 1757 + }, + { + "epoch": 0.34, + "learning_rate": 1.545662275299034e-05, + "loss": 0.7987, + "step": 1758 + }, + { + "epoch": 0.34, + "learning_rate": 1.5451420851176257e-05, + "loss": 0.9062, + "step": 1759 + }, + { + "epoch": 0.34, + "learning_rate": 1.544621684962391e-05, + "loss": 0.8496, + "step": 1760 + }, + { + "epoch": 0.34, + "learning_rate": 1.5441010750337754e-05, + "loss": 0.8613, + "step": 1761 + }, + { + "epoch": 0.34, + "learning_rate": 1.5435802555323024e-05, + "loss": 0.7911, + "step": 1762 + }, + { + "epoch": 0.34, + "learning_rate": 1.5430592266585787e-05, + "loss": 0.8647, + "step": 1763 + }, + { + "epoch": 0.34, + "learning_rate": 1.5425379886132888e-05, + "loss": 0.8132, + "step": 1764 + }, + { + "epoch": 0.34, + "learning_rate": 1.5420165415972005e-05, + "loss": 0.799, + "step": 1765 + }, + { + "epoch": 0.34, + "learning_rate": 1.5414948858111608e-05, + "loss": 0.7383, + "step": 1766 + }, + { + "epoch": 0.34, + "learning_rate": 1.5409730214560962e-05, + "loss": 0.7989, + "step": 1767 + }, + { + "epoch": 0.34, + "learning_rate": 1.5404509487330163e-05, + "loss": 0.812, + "step": 1768 + }, + { + "epoch": 0.34, + "learning_rate": 1.5399286678430075e-05, + "loss": 0.8653, + "step": 1769 + }, + { + "epoch": 0.34, + "learning_rate": 1.5394061789872395e-05, + "loss": 0.8677, + "step": 1770 + }, + { + "epoch": 0.34, + "learning_rate": 1.53888348236696e-05, + "loss": 0.3696, + "step": 1771 + }, + { + "epoch": 0.34, + "learning_rate": 1.5383605781834975e-05, + "loss": 0.9026, + "step": 1772 + }, + { + "epoch": 0.34, + "learning_rate": 1.5378374666382606e-05, + "loss": 0.8616, + "step": 1773 + }, + { + "epoch": 0.34, + "learning_rate": 1.5373141479327375e-05, + "loss": 0.7865, + "step": 1774 + }, + { + "epoch": 0.34, + "learning_rate": 1.536790622268496e-05, + "loss": 0.9614, + "step": 1775 + }, + { + "epoch": 0.34, + "learning_rate": 1.5362668898471846e-05, + "loss": 0.9102, + "step": 1776 + }, + { + "epoch": 0.34, + "learning_rate": 1.5357429508705297e-05, + "loss": 0.793, + "step": 1777 + }, + { + "epoch": 0.34, + "learning_rate": 1.535218805540339e-05, + "loss": 0.797, + "step": 1778 + }, + { + "epoch": 0.34, + "learning_rate": 1.5346944540584986e-05, + "loss": 0.8759, + "step": 1779 + }, + { + "epoch": 0.34, + "learning_rate": 1.5341698966269745e-05, + "loss": 0.8467, + "step": 1780 + }, + { + "epoch": 0.34, + "learning_rate": 1.533645133447812e-05, + "loss": 0.8407, + "step": 1781 + }, + { + "epoch": 0.34, + "learning_rate": 1.5331201647231352e-05, + "loss": 0.8507, + "step": 1782 + }, + { + "epoch": 0.34, + "learning_rate": 1.532594990655148e-05, + "loss": 0.8638, + "step": 1783 + }, + { + "epoch": 0.34, + "learning_rate": 1.5320696114461327e-05, + "loss": 0.9058, + "step": 1784 + }, + { + "epoch": 0.34, + "learning_rate": 1.5315440272984518e-05, + "loss": 0.8752, + "step": 1785 + }, + { + "epoch": 0.34, + "learning_rate": 1.5310182384145453e-05, + "loss": 0.84, + "step": 1786 + }, + { + "epoch": 0.34, + "learning_rate": 1.5304922449969326e-05, + "loss": 0.8128, + "step": 1787 + }, + { + "epoch": 0.34, + "learning_rate": 1.529966047248212e-05, + "loss": 0.8329, + "step": 1788 + }, + { + "epoch": 0.34, + "learning_rate": 1.5294396453710613e-05, + "loss": 0.8355, + "step": 1789 + }, + { + "epoch": 0.34, + "learning_rate": 1.5289130395682352e-05, + "loss": 0.8492, + "step": 1790 + }, + { + "epoch": 0.34, + "learning_rate": 1.528386230042568e-05, + "loss": 0.8288, + "step": 1791 + }, + { + "epoch": 0.34, + "learning_rate": 1.5278592169969725e-05, + "loss": 0.8499, + "step": 1792 + }, + { + "epoch": 0.34, + "learning_rate": 1.52733200063444e-05, + "loss": 0.8602, + "step": 1793 + }, + { + "epoch": 0.34, + "learning_rate": 1.5268045811580393e-05, + "loss": 0.8054, + "step": 1794 + }, + { + "epoch": 0.34, + "learning_rate": 1.526276958770918e-05, + "loss": 0.8179, + "step": 1795 + }, + { + "epoch": 0.34, + "learning_rate": 1.5257491336763023e-05, + "loss": 0.3407, + "step": 1796 + }, + { + "epoch": 0.34, + "learning_rate": 1.5252211060774956e-05, + "loss": 0.8699, + "step": 1797 + }, + { + "epoch": 0.34, + "learning_rate": 1.52469287617788e-05, + "loss": 0.8378, + "step": 1798 + }, + { + "epoch": 0.34, + "learning_rate": 1.5241644441809146e-05, + "loss": 0.8647, + "step": 1799 + }, + { + "epoch": 0.34, + "learning_rate": 1.5236358102901375e-05, + "loss": 0.8785, + "step": 1800 + }, + { + "epoch": 0.35, + "learning_rate": 1.523106974709164e-05, + "loss": 0.8717, + "step": 1801 + }, + { + "epoch": 0.35, + "learning_rate": 1.5225779376416871e-05, + "loss": 0.8637, + "step": 1802 + }, + { + "epoch": 0.35, + "learning_rate": 1.522048699291477e-05, + "loss": 0.8589, + "step": 1803 + }, + { + "epoch": 0.35, + "learning_rate": 1.5215192598623825e-05, + "loss": 0.3659, + "step": 1804 + }, + { + "epoch": 0.35, + "learning_rate": 1.5209896195583284e-05, + "loss": 0.856, + "step": 1805 + }, + { + "epoch": 0.35, + "learning_rate": 1.5204597785833182e-05, + "loss": 0.8001, + "step": 1806 + }, + { + "epoch": 0.35, + "learning_rate": 1.5199297371414324e-05, + "loss": 0.8191, + "step": 1807 + }, + { + "epoch": 0.35, + "learning_rate": 1.5193994954368277e-05, + "loss": 0.9114, + "step": 1808 + }, + { + "epoch": 0.35, + "learning_rate": 1.5188690536737394e-05, + "loss": 0.8073, + "step": 1809 + }, + { + "epoch": 0.35, + "learning_rate": 1.5183384120564788e-05, + "loss": 0.8694, + "step": 1810 + }, + { + "epoch": 0.35, + "learning_rate": 1.5178075707894346e-05, + "loss": 0.8244, + "step": 1811 + }, + { + "epoch": 0.35, + "learning_rate": 1.5172765300770724e-05, + "loss": 0.9008, + "step": 1812 + }, + { + "epoch": 0.35, + "learning_rate": 1.5167452901239346e-05, + "loss": 0.8237, + "step": 1813 + }, + { + "epoch": 0.35, + "learning_rate": 1.51621385113464e-05, + "loss": 0.8312, + "step": 1814 + }, + { + "epoch": 0.35, + "learning_rate": 1.5156822133138852e-05, + "loss": 0.8742, + "step": 1815 + }, + { + "epoch": 0.35, + "learning_rate": 1.5151503768664416e-05, + "loss": 0.891, + "step": 1816 + }, + { + "epoch": 0.35, + "learning_rate": 1.514618341997158e-05, + "loss": 0.8361, + "step": 1817 + }, + { + "epoch": 0.35, + "learning_rate": 1.5140861089109609e-05, + "loss": 0.8767, + "step": 1818 + }, + { + "epoch": 0.35, + "learning_rate": 1.5135536778128504e-05, + "loss": 0.3561, + "step": 1819 + }, + { + "epoch": 0.35, + "learning_rate": 1.5130210489079055e-05, + "loss": 0.8534, + "step": 1820 + }, + { + "epoch": 0.35, + "learning_rate": 1.5124882224012802e-05, + "loss": 0.8001, + "step": 1821 + }, + { + "epoch": 0.35, + "learning_rate": 1.5119551984982042e-05, + "loss": 0.8341, + "step": 1822 + }, + { + "epoch": 0.35, + "learning_rate": 1.5114219774039836e-05, + "loss": 0.8366, + "step": 1823 + }, + { + "epoch": 0.35, + "learning_rate": 1.5108885593240015e-05, + "loss": 0.8291, + "step": 1824 + }, + { + "epoch": 0.35, + "learning_rate": 1.5103549444637151e-05, + "loss": 0.7878, + "step": 1825 + }, + { + "epoch": 0.35, + "learning_rate": 1.5098211330286585e-05, + "loss": 0.797, + "step": 1826 + }, + { + "epoch": 0.35, + "learning_rate": 1.5092871252244416e-05, + "loss": 0.8596, + "step": 1827 + }, + { + "epoch": 0.35, + "learning_rate": 1.508752921256749e-05, + "loss": 0.8318, + "step": 1828 + }, + { + "epoch": 0.35, + "learning_rate": 1.5082185213313423e-05, + "loss": 0.9167, + "step": 1829 + }, + { + "epoch": 0.35, + "learning_rate": 1.5076839256540568e-05, + "loss": 0.89, + "step": 1830 + }, + { + "epoch": 0.35, + "learning_rate": 1.5071491344308048e-05, + "loss": 0.7831, + "step": 1831 + }, + { + "epoch": 0.35, + "learning_rate": 1.5066141478675729e-05, + "loss": 0.8637, + "step": 1832 + }, + { + "epoch": 0.35, + "learning_rate": 1.5060789661704234e-05, + "loss": 0.8397, + "step": 1833 + }, + { + "epoch": 0.35, + "learning_rate": 1.5055435895454936e-05, + "loss": 0.9033, + "step": 1834 + }, + { + "epoch": 0.35, + "learning_rate": 1.5050080181989966e-05, + "loss": 0.8327, + "step": 1835 + }, + { + "epoch": 0.35, + "learning_rate": 1.5044722523372187e-05, + "loss": 0.7576, + "step": 1836 + }, + { + "epoch": 0.35, + "learning_rate": 1.503936292166523e-05, + "loss": 0.8899, + "step": 1837 + }, + { + "epoch": 0.35, + "learning_rate": 1.5034001378933463e-05, + "loss": 0.85, + "step": 1838 + }, + { + "epoch": 0.35, + "learning_rate": 1.5028637897242011e-05, + "loss": 0.3882, + "step": 1839 + }, + { + "epoch": 0.35, + "learning_rate": 1.5023272478656737e-05, + "loss": 0.8115, + "step": 1840 + }, + { + "epoch": 0.35, + "learning_rate": 1.5017905125244254e-05, + "loss": 0.916, + "step": 1841 + }, + { + "epoch": 0.35, + "learning_rate": 1.5012535839071918e-05, + "loss": 0.8923, + "step": 1842 + }, + { + "epoch": 0.35, + "learning_rate": 1.5007164622207832e-05, + "loss": 0.8923, + "step": 1843 + }, + { + "epoch": 0.35, + "learning_rate": 1.5001791476720845e-05, + "loss": 0.8188, + "step": 1844 + }, + { + "epoch": 0.35, + "learning_rate": 1.4996416404680543e-05, + "loss": 0.8191, + "step": 1845 + }, + { + "epoch": 0.35, + "learning_rate": 1.499103940815726e-05, + "loss": 0.8074, + "step": 1846 + }, + { + "epoch": 0.35, + "learning_rate": 1.4985660489222063e-05, + "loss": 0.8548, + "step": 1847 + }, + { + "epoch": 0.35, + "learning_rate": 1.4980279649946765e-05, + "loss": 0.8313, + "step": 1848 + }, + { + "epoch": 0.35, + "learning_rate": 1.4974896892403923e-05, + "loss": 0.8421, + "step": 1849 + }, + { + "epoch": 0.35, + "learning_rate": 1.4969512218666821e-05, + "loss": 0.8358, + "step": 1850 + }, + { + "epoch": 0.35, + "learning_rate": 1.4964125630809496e-05, + "loss": 0.9068, + "step": 1851 + }, + { + "epoch": 0.35, + "learning_rate": 1.495873713090671e-05, + "loss": 0.81, + "step": 1852 + }, + { + "epoch": 0.35, + "learning_rate": 1.4953346721033966e-05, + "loss": 0.818, + "step": 1853 + }, + { + "epoch": 0.36, + "learning_rate": 1.4947954403267501e-05, + "loss": 0.8293, + "step": 1854 + }, + { + "epoch": 0.36, + "learning_rate": 1.4942560179684293e-05, + "loss": 0.8943, + "step": 1855 + }, + { + "epoch": 0.36, + "learning_rate": 1.4937164052362047e-05, + "loss": 0.8838, + "step": 1856 + }, + { + "epoch": 0.36, + "learning_rate": 1.4931766023379202e-05, + "loss": 0.8726, + "step": 1857 + }, + { + "epoch": 0.36, + "learning_rate": 1.492636609481493e-05, + "loss": 0.8057, + "step": 1858 + }, + { + "epoch": 0.36, + "learning_rate": 1.4920964268749141e-05, + "loss": 0.8705, + "step": 1859 + }, + { + "epoch": 0.36, + "learning_rate": 1.4915560547262469e-05, + "loss": 0.8331, + "step": 1860 + }, + { + "epoch": 0.36, + "learning_rate": 1.4910154932436278e-05, + "loss": 0.8537, + "step": 1861 + }, + { + "epoch": 0.36, + "learning_rate": 1.4904747426352662e-05, + "loss": 0.8061, + "step": 1862 + }, + { + "epoch": 0.36, + "learning_rate": 1.4899338031094448e-05, + "loss": 0.8769, + "step": 1863 + }, + { + "epoch": 0.36, + "learning_rate": 1.4893926748745183e-05, + "loss": 0.8167, + "step": 1864 + }, + { + "epoch": 0.36, + "learning_rate": 1.488851358138915e-05, + "loss": 0.836, + "step": 1865 + }, + { + "epoch": 0.36, + "learning_rate": 1.4883098531111352e-05, + "loss": 0.8357, + "step": 1866 + }, + { + "epoch": 0.36, + "learning_rate": 1.4877681599997514e-05, + "loss": 0.9003, + "step": 1867 + }, + { + "epoch": 0.36, + "learning_rate": 1.4872262790134091e-05, + "loss": 0.8598, + "step": 1868 + }, + { + "epoch": 0.36, + "learning_rate": 1.4866842103608265e-05, + "loss": 0.7058, + "step": 1869 + }, + { + "epoch": 0.36, + "learning_rate": 1.4861419542507931e-05, + "loss": 0.8518, + "step": 1870 + }, + { + "epoch": 0.36, + "learning_rate": 1.4855995108921714e-05, + "loss": 0.8626, + "step": 1871 + }, + { + "epoch": 0.36, + "learning_rate": 1.4850568804938958e-05, + "loss": 0.8308, + "step": 1872 + }, + { + "epoch": 0.36, + "learning_rate": 1.4845140632649729e-05, + "loss": 0.8651, + "step": 1873 + }, + { + "epoch": 0.36, + "learning_rate": 1.4839710594144803e-05, + "loss": 0.8167, + "step": 1874 + }, + { + "epoch": 0.36, + "learning_rate": 1.4834278691515687e-05, + "loss": 0.8683, + "step": 1875 + }, + { + "epoch": 0.36, + "learning_rate": 1.48288449268546e-05, + "loss": 0.8896, + "step": 1876 + }, + { + "epoch": 0.36, + "learning_rate": 1.4823409302254485e-05, + "loss": 0.8885, + "step": 1877 + }, + { + "epoch": 0.36, + "learning_rate": 1.4817971819808987e-05, + "loss": 0.8905, + "step": 1878 + }, + { + "epoch": 0.36, + "learning_rate": 1.4812532481612483e-05, + "loss": 0.8673, + "step": 1879 + }, + { + "epoch": 0.36, + "learning_rate": 1.4807091289760056e-05, + "loss": 0.8098, + "step": 1880 + }, + { + "epoch": 0.36, + "learning_rate": 1.48016482463475e-05, + "loss": 0.8839, + "step": 1881 + }, + { + "epoch": 0.36, + "learning_rate": 1.479620335347133e-05, + "loss": 0.852, + "step": 1882 + }, + { + "epoch": 0.36, + "learning_rate": 1.479075661322877e-05, + "loss": 0.7881, + "step": 1883 + }, + { + "epoch": 0.36, + "learning_rate": 1.4785308027717755e-05, + "loss": 0.9067, + "step": 1884 + }, + { + "epoch": 0.36, + "learning_rate": 1.4779857599036931e-05, + "loss": 0.8319, + "step": 1885 + }, + { + "epoch": 0.36, + "learning_rate": 1.4774405329285655e-05, + "loss": 0.8564, + "step": 1886 + }, + { + "epoch": 0.36, + "learning_rate": 1.4768951220563988e-05, + "loss": 0.888, + "step": 1887 + }, + { + "epoch": 0.36, + "learning_rate": 1.4763495274972709e-05, + "loss": 0.7799, + "step": 1888 + }, + { + "epoch": 0.36, + "learning_rate": 1.4758037494613295e-05, + "loss": 0.8649, + "step": 1889 + }, + { + "epoch": 0.36, + "learning_rate": 1.4752577881587935e-05, + "loss": 0.3911, + "step": 1890 + }, + { + "epoch": 0.36, + "learning_rate": 1.4747116437999526e-05, + "loss": 0.7875, + "step": 1891 + }, + { + "epoch": 0.36, + "learning_rate": 1.4741653165951664e-05, + "loss": 0.821, + "step": 1892 + }, + { + "epoch": 0.36, + "learning_rate": 1.4736188067548648e-05, + "loss": 0.8373, + "step": 1893 + }, + { + "epoch": 0.36, + "learning_rate": 1.4730721144895494e-05, + "loss": 0.8331, + "step": 1894 + }, + { + "epoch": 0.36, + "learning_rate": 1.4725252400097903e-05, + "loss": 0.851, + "step": 1895 + }, + { + "epoch": 0.36, + "learning_rate": 1.4719781835262288e-05, + "loss": 0.8706, + "step": 1896 + }, + { + "epoch": 0.36, + "learning_rate": 1.4714309452495761e-05, + "loss": 0.8998, + "step": 1897 + }, + { + "epoch": 0.36, + "learning_rate": 1.4708835253906135e-05, + "loss": 0.8181, + "step": 1898 + }, + { + "epoch": 0.36, + "learning_rate": 1.4703359241601921e-05, + "loss": 0.773, + "step": 1899 + }, + { + "epoch": 0.36, + "learning_rate": 1.4697881417692333e-05, + "loss": 0.848, + "step": 1900 + }, + { + "epoch": 0.36, + "learning_rate": 1.4692401784287274e-05, + "loss": 0.8827, + "step": 1901 + }, + { + "epoch": 0.36, + "learning_rate": 1.4686920343497349e-05, + "loss": 0.8166, + "step": 1902 + }, + { + "epoch": 0.36, + "learning_rate": 1.4681437097433862e-05, + "loss": 0.8429, + "step": 1903 + }, + { + "epoch": 0.36, + "learning_rate": 1.4675952048208806e-05, + "loss": 0.8624, + "step": 1904 + }, + { + "epoch": 0.36, + "learning_rate": 1.4670465197934875e-05, + "loss": 0.9061, + "step": 1905 + }, + { + "epoch": 0.37, + "learning_rate": 1.4664976548725453e-05, + "loss": 0.8475, + "step": 1906 + }, + { + "epoch": 0.37, + "learning_rate": 1.4659486102694618e-05, + "loss": 0.8653, + "step": 1907 + }, + { + "epoch": 0.37, + "learning_rate": 1.4653993861957139e-05, + "loss": 0.9031, + "step": 1908 + }, + { + "epoch": 0.37, + "learning_rate": 1.4648499828628476e-05, + "loss": 0.8854, + "step": 1909 + }, + { + "epoch": 0.37, + "learning_rate": 1.464300400482478e-05, + "loss": 0.8628, + "step": 1910 + }, + { + "epoch": 0.37, + "learning_rate": 1.4637506392662899e-05, + "loss": 0.7718, + "step": 1911 + }, + { + "epoch": 0.37, + "learning_rate": 1.4632006994260353e-05, + "loss": 0.8431, + "step": 1912 + }, + { + "epoch": 0.37, + "learning_rate": 1.4626505811735365e-05, + "loss": 0.8674, + "step": 1913 + }, + { + "epoch": 0.37, + "learning_rate": 1.462100284720684e-05, + "loss": 0.3723, + "step": 1914 + }, + { + "epoch": 0.37, + "learning_rate": 1.4615498102794367e-05, + "loss": 0.8293, + "step": 1915 + }, + { + "epoch": 0.37, + "learning_rate": 1.4609991580618228e-05, + "loss": 0.8555, + "step": 1916 + }, + { + "epoch": 0.37, + "learning_rate": 1.460448328279938e-05, + "loss": 0.7862, + "step": 1917 + }, + { + "epoch": 0.37, + "learning_rate": 1.4598973211459471e-05, + "loss": 0.8779, + "step": 1918 + }, + { + "epoch": 0.37, + "learning_rate": 1.459346136872083e-05, + "loss": 0.8062, + "step": 1919 + }, + { + "epoch": 0.37, + "learning_rate": 1.4587947756706465e-05, + "loss": 0.8466, + "step": 1920 + }, + { + "epoch": 0.37, + "learning_rate": 1.458243237754007e-05, + "loss": 0.8529, + "step": 1921 + }, + { + "epoch": 0.37, + "learning_rate": 1.4576915233346022e-05, + "loss": 0.3743, + "step": 1922 + }, + { + "epoch": 0.37, + "learning_rate": 1.4571396326249371e-05, + "loss": 0.8615, + "step": 1923 + }, + { + "epoch": 0.37, + "learning_rate": 1.4565875658375847e-05, + "loss": 0.8466, + "step": 1924 + }, + { + "epoch": 0.37, + "learning_rate": 1.4560353231851868e-05, + "loss": 0.8574, + "step": 1925 + }, + { + "epoch": 0.37, + "learning_rate": 1.4554829048804508e-05, + "loss": 0.7948, + "step": 1926 + }, + { + "epoch": 0.37, + "learning_rate": 1.4549303111361544e-05, + "loss": 0.8291, + "step": 1927 + }, + { + "epoch": 0.37, + "learning_rate": 1.4543775421651413e-05, + "loss": 0.8427, + "step": 1928 + }, + { + "epoch": 0.37, + "learning_rate": 1.4538245981803227e-05, + "loss": 0.8689, + "step": 1929 + }, + { + "epoch": 0.37, + "learning_rate": 1.4532714793946779e-05, + "loss": 0.854, + "step": 1930 + }, + { + "epoch": 0.37, + "learning_rate": 1.4527181860212524e-05, + "loss": 0.8158, + "step": 1931 + }, + { + "epoch": 0.37, + "learning_rate": 1.4521647182731606e-05, + "loss": 0.8296, + "step": 1932 + }, + { + "epoch": 0.37, + "learning_rate": 1.4516110763635827e-05, + "loss": 0.8445, + "step": 1933 + }, + { + "epoch": 0.37, + "learning_rate": 1.4510572605057662e-05, + "loss": 0.8547, + "step": 1934 + }, + { + "epoch": 0.37, + "learning_rate": 1.450503270913026e-05, + "loss": 0.7934, + "step": 1935 + }, + { + "epoch": 0.37, + "learning_rate": 1.4499491077987443e-05, + "loss": 0.8286, + "step": 1936 + }, + { + "epoch": 0.37, + "learning_rate": 1.4493947713763687e-05, + "loss": 0.8282, + "step": 1937 + }, + { + "epoch": 0.37, + "learning_rate": 1.4488402618594149e-05, + "loss": 0.8565, + "step": 1938 + }, + { + "epoch": 0.37, + "learning_rate": 1.4482855794614647e-05, + "loss": 0.8843, + "step": 1939 + }, + { + "epoch": 0.37, + "learning_rate": 1.4477307243961667e-05, + "loss": 0.8487, + "step": 1940 + }, + { + "epoch": 0.37, + "learning_rate": 1.4471756968772357e-05, + "loss": 0.8379, + "step": 1941 + }, + { + "epoch": 0.37, + "learning_rate": 1.4466204971184531e-05, + "loss": 0.861, + "step": 1942 + }, + { + "epoch": 0.37, + "learning_rate": 1.4460651253336673e-05, + "loss": 0.8367, + "step": 1943 + }, + { + "epoch": 0.37, + "learning_rate": 1.4455095817367915e-05, + "loss": 0.8805, + "step": 1944 + }, + { + "epoch": 0.37, + "learning_rate": 1.4449538665418064e-05, + "loss": 0.3786, + "step": 1945 + }, + { + "epoch": 0.37, + "learning_rate": 1.444397979962758e-05, + "loss": 0.8196, + "step": 1946 + }, + { + "epoch": 0.37, + "learning_rate": 1.4438419222137588e-05, + "loss": 0.8407, + "step": 1947 + }, + { + "epoch": 0.37, + "learning_rate": 1.4432856935089869e-05, + "loss": 0.7773, + "step": 1948 + }, + { + "epoch": 0.37, + "learning_rate": 1.4427292940626867e-05, + "loss": 0.8371, + "step": 1949 + }, + { + "epoch": 0.37, + "learning_rate": 1.4421727240891676e-05, + "loss": 0.8887, + "step": 1950 + }, + { + "epoch": 0.37, + "learning_rate": 1.4416159838028054e-05, + "loss": 0.8198, + "step": 1951 + }, + { + "epoch": 0.37, + "learning_rate": 1.4410590734180411e-05, + "loss": 0.7981, + "step": 1952 + }, + { + "epoch": 0.37, + "learning_rate": 1.4405019931493818e-05, + "loss": 0.8497, + "step": 1953 + }, + { + "epoch": 0.37, + "learning_rate": 1.4399447432113988e-05, + "loss": 0.8703, + "step": 1954 + }, + { + "epoch": 0.37, + "learning_rate": 1.4393873238187304e-05, + "loss": 0.8479, + "step": 1955 + }, + { + "epoch": 0.37, + "learning_rate": 1.4388297351860789e-05, + "loss": 0.8348, + "step": 1956 + }, + { + "epoch": 0.37, + "learning_rate": 1.4382719775282119e-05, + "loss": 0.8804, + "step": 1957 + }, + { + "epoch": 0.38, + "learning_rate": 1.4377140510599627e-05, + "loss": 0.8192, + "step": 1958 + }, + { + "epoch": 0.38, + "learning_rate": 1.4371559559962296e-05, + "loss": 0.7981, + "step": 1959 + }, + { + "epoch": 0.38, + "learning_rate": 1.4365976925519749e-05, + "loss": 0.8414, + "step": 1960 + }, + { + "epoch": 0.38, + "learning_rate": 1.4360392609422271e-05, + "loss": 0.8366, + "step": 1961 + }, + { + "epoch": 0.38, + "learning_rate": 1.4354806613820782e-05, + "loss": 0.8558, + "step": 1962 + }, + { + "epoch": 0.38, + "learning_rate": 1.4349218940866858e-05, + "loss": 0.7914, + "step": 1963 + }, + { + "epoch": 0.38, + "learning_rate": 1.434362959271272e-05, + "loss": 0.8807, + "step": 1964 + }, + { + "epoch": 0.38, + "learning_rate": 1.4338038571511225e-05, + "loss": 0.8361, + "step": 1965 + }, + { + "epoch": 0.38, + "learning_rate": 1.4332445879415888e-05, + "loss": 0.3516, + "step": 1966 + }, + { + "epoch": 0.38, + "learning_rate": 1.432685151858086e-05, + "loss": 0.8906, + "step": 1967 + }, + { + "epoch": 0.38, + "learning_rate": 1.4321255491160935e-05, + "loss": 0.8408, + "step": 1968 + }, + { + "epoch": 0.38, + "learning_rate": 1.4315657799311548e-05, + "loss": 0.811, + "step": 1969 + }, + { + "epoch": 0.38, + "learning_rate": 1.431005844518878e-05, + "loss": 0.8152, + "step": 1970 + }, + { + "epoch": 0.38, + "learning_rate": 1.4304457430949343e-05, + "loss": 0.8468, + "step": 1971 + }, + { + "epoch": 0.38, + "learning_rate": 1.4298854758750605e-05, + "loss": 0.9077, + "step": 1972 + }, + { + "epoch": 0.38, + "learning_rate": 1.4293250430750549e-05, + "loss": 0.8821, + "step": 1973 + }, + { + "epoch": 0.38, + "learning_rate": 1.4287644449107823e-05, + "loss": 0.8603, + "step": 1974 + }, + { + "epoch": 0.38, + "learning_rate": 1.4282036815981688e-05, + "loss": 0.8702, + "step": 1975 + }, + { + "epoch": 0.38, + "learning_rate": 1.4276427533532054e-05, + "loss": 0.8316, + "step": 1976 + }, + { + "epoch": 0.38, + "learning_rate": 1.4270816603919461e-05, + "loss": 0.7948, + "step": 1977 + }, + { + "epoch": 0.38, + "learning_rate": 1.4265204029305091e-05, + "loss": 0.8168, + "step": 1978 + }, + { + "epoch": 0.38, + "learning_rate": 1.4259589811850749e-05, + "loss": 0.8219, + "step": 1979 + }, + { + "epoch": 0.38, + "learning_rate": 1.425397395371888e-05, + "loss": 0.8813, + "step": 1980 + }, + { + "epoch": 0.38, + "learning_rate": 1.424835645707256e-05, + "loss": 0.8264, + "step": 1981 + }, + { + "epoch": 0.38, + "learning_rate": 1.4242737324075495e-05, + "loss": 0.8999, + "step": 1982 + }, + { + "epoch": 0.38, + "learning_rate": 1.423711655689202e-05, + "loss": 0.9051, + "step": 1983 + }, + { + "epoch": 0.38, + "learning_rate": 1.42314941576871e-05, + "loss": 0.8327, + "step": 1984 + }, + { + "epoch": 0.38, + "learning_rate": 1.422587012862633e-05, + "loss": 0.8531, + "step": 1985 + }, + { + "epoch": 0.38, + "learning_rate": 1.4220244471875936e-05, + "loss": 0.8181, + "step": 1986 + }, + { + "epoch": 0.38, + "learning_rate": 1.4214617189602765e-05, + "loss": 0.8625, + "step": 1987 + }, + { + "epoch": 0.38, + "learning_rate": 1.4208988283974288e-05, + "loss": 0.8158, + "step": 1988 + }, + { + "epoch": 0.38, + "learning_rate": 1.420335775715861e-05, + "loss": 0.8244, + "step": 1989 + }, + { + "epoch": 0.38, + "learning_rate": 1.4197725611324455e-05, + "loss": 0.8316, + "step": 1990 + }, + { + "epoch": 0.38, + "learning_rate": 1.4192091848641174e-05, + "loss": 0.9076, + "step": 1991 + }, + { + "epoch": 0.38, + "learning_rate": 1.4186456471278734e-05, + "loss": 0.8707, + "step": 1992 + }, + { + "epoch": 0.38, + "learning_rate": 1.418081948140773e-05, + "loss": 0.842, + "step": 1993 + }, + { + "epoch": 0.38, + "learning_rate": 1.4175180881199378e-05, + "loss": 0.8424, + "step": 1994 + }, + { + "epoch": 0.38, + "learning_rate": 1.4169540672825509e-05, + "loss": 0.8429, + "step": 1995 + }, + { + "epoch": 0.38, + "learning_rate": 1.416389885845858e-05, + "loss": 0.8518, + "step": 1996 + }, + { + "epoch": 0.38, + "learning_rate": 1.4158255440271664e-05, + "loss": 0.8329, + "step": 1997 + }, + { + "epoch": 0.38, + "learning_rate": 1.4152610420438449e-05, + "loss": 0.815, + "step": 1998 + }, + { + "epoch": 0.38, + "learning_rate": 1.4146963801133242e-05, + "loss": 0.821, + "step": 1999 + }, + { + "epoch": 0.38, + "learning_rate": 1.4141315584530973e-05, + "loss": 0.8258, + "step": 2000 + }, + { + "epoch": 0.38, + "learning_rate": 1.413566577280717e-05, + "loss": 0.8393, + "step": 2001 + }, + { + "epoch": 0.38, + "learning_rate": 1.4130014368137993e-05, + "loss": 0.8571, + "step": 2002 + }, + { + "epoch": 0.38, + "learning_rate": 1.412436137270021e-05, + "loss": 0.8952, + "step": 2003 + }, + { + "epoch": 0.38, + "learning_rate": 1.4118706788671192e-05, + "loss": 0.8556, + "step": 2004 + }, + { + "epoch": 0.38, + "learning_rate": 1.411305061822894e-05, + "loss": 0.3827, + "step": 2005 + }, + { + "epoch": 0.38, + "learning_rate": 1.4107392863552051e-05, + "loss": 0.8425, + "step": 2006 + }, + { + "epoch": 0.38, + "learning_rate": 1.4101733526819737e-05, + "loss": 0.8675, + "step": 2007 + }, + { + "epoch": 0.38, + "learning_rate": 1.4096072610211821e-05, + "loss": 0.8558, + "step": 2008 + }, + { + "epoch": 0.38, + "learning_rate": 1.4090410115908734e-05, + "loss": 0.8505, + "step": 2009 + }, + { + "epoch": 0.39, + "learning_rate": 1.4084746046091513e-05, + "loss": 0.9349, + "step": 2010 + }, + { + "epoch": 0.39, + "learning_rate": 1.40790804029418e-05, + "loss": 0.8414, + "step": 2011 + }, + { + "epoch": 0.39, + "learning_rate": 1.4073413188641854e-05, + "loss": 0.841, + "step": 2012 + }, + { + "epoch": 0.39, + "learning_rate": 1.4067744405374522e-05, + "loss": 0.8871, + "step": 2013 + }, + { + "epoch": 0.39, + "learning_rate": 1.406207405532327e-05, + "loss": 0.3542, + "step": 2014 + }, + { + "epoch": 0.39, + "learning_rate": 1.4056402140672159e-05, + "loss": 0.8337, + "step": 2015 + }, + { + "epoch": 0.39, + "learning_rate": 1.4050728663605852e-05, + "loss": 0.8034, + "step": 2016 + }, + { + "epoch": 0.39, + "learning_rate": 1.4045053626309631e-05, + "loss": 0.8175, + "step": 2017 + }, + { + "epoch": 0.39, + "learning_rate": 1.4039377030969346e-05, + "loss": 0.8094, + "step": 2018 + }, + { + "epoch": 0.39, + "learning_rate": 1.403369887977148e-05, + "loss": 0.9249, + "step": 2019 + }, + { + "epoch": 0.39, + "learning_rate": 1.4028019174903102e-05, + "loss": 0.8945, + "step": 2020 + }, + { + "epoch": 0.39, + "learning_rate": 1.402233791855187e-05, + "loss": 0.8594, + "step": 2021 + }, + { + "epoch": 0.39, + "learning_rate": 1.4016655112906052e-05, + "loss": 0.8476, + "step": 2022 + }, + { + "epoch": 0.39, + "learning_rate": 1.4010970760154514e-05, + "loss": 0.8631, + "step": 2023 + }, + { + "epoch": 0.39, + "learning_rate": 1.4005284862486708e-05, + "loss": 0.852, + "step": 2024 + }, + { + "epoch": 0.39, + "learning_rate": 1.3999597422092688e-05, + "loss": 0.8633, + "step": 2025 + }, + { + "epoch": 0.39, + "learning_rate": 1.3993908441163103e-05, + "loss": 0.8503, + "step": 2026 + }, + { + "epoch": 0.39, + "learning_rate": 1.3988217921889188e-05, + "loss": 0.8349, + "step": 2027 + }, + { + "epoch": 0.39, + "learning_rate": 1.3982525866462779e-05, + "loss": 0.8533, + "step": 2028 + }, + { + "epoch": 0.39, + "learning_rate": 1.39768322770763e-05, + "loss": 0.8635, + "step": 2029 + }, + { + "epoch": 0.39, + "learning_rate": 1.3971137155922762e-05, + "loss": 0.91, + "step": 2030 + }, + { + "epoch": 0.39, + "learning_rate": 1.3965440505195779e-05, + "loss": 0.8897, + "step": 2031 + }, + { + "epoch": 0.39, + "learning_rate": 1.3959742327089536e-05, + "loss": 0.8372, + "step": 2032 + }, + { + "epoch": 0.39, + "learning_rate": 1.3954042623798815e-05, + "loss": 0.8939, + "step": 2033 + }, + { + "epoch": 0.39, + "learning_rate": 1.3948341397518993e-05, + "loss": 0.8882, + "step": 2034 + }, + { + "epoch": 0.39, + "learning_rate": 1.3942638650446023e-05, + "loss": 0.7642, + "step": 2035 + }, + { + "epoch": 0.39, + "learning_rate": 1.3936934384776446e-05, + "loss": 0.7926, + "step": 2036 + }, + { + "epoch": 0.39, + "learning_rate": 1.3931228602707391e-05, + "loss": 0.8464, + "step": 2037 + }, + { + "epoch": 0.39, + "learning_rate": 1.392552130643657e-05, + "loss": 0.801, + "step": 2038 + }, + { + "epoch": 0.39, + "learning_rate": 1.3919812498162273e-05, + "loss": 0.8624, + "step": 2039 + }, + { + "epoch": 0.39, + "learning_rate": 1.3914102180083382e-05, + "loss": 0.822, + "step": 2040 + }, + { + "epoch": 0.39, + "learning_rate": 1.3908390354399352e-05, + "loss": 0.871, + "step": 2041 + }, + { + "epoch": 0.39, + "learning_rate": 1.3902677023310225e-05, + "loss": 0.8809, + "step": 2042 + }, + { + "epoch": 0.39, + "learning_rate": 1.3896962189016619e-05, + "loss": 0.8841, + "step": 2043 + }, + { + "epoch": 0.39, + "learning_rate": 1.3891245853719727e-05, + "loss": 0.8065, + "step": 2044 + }, + { + "epoch": 0.39, + "learning_rate": 1.3885528019621333e-05, + "loss": 0.8594, + "step": 2045 + }, + { + "epoch": 0.39, + "learning_rate": 1.3879808688923786e-05, + "loss": 0.8318, + "step": 2046 + }, + { + "epoch": 0.39, + "learning_rate": 1.3874087863830013e-05, + "loss": 0.801, + "step": 2047 + }, + { + "epoch": 0.39, + "learning_rate": 1.3868365546543527e-05, + "loss": 0.8135, + "step": 2048 + }, + { + "epoch": 0.39, + "learning_rate": 1.38626417392684e-05, + "loss": 0.8536, + "step": 2049 + }, + { + "epoch": 0.39, + "learning_rate": 1.3856916444209294e-05, + "loss": 0.8761, + "step": 2050 + }, + { + "epoch": 0.39, + "learning_rate": 1.3851189663571432e-05, + "loss": 0.3618, + "step": 2051 + }, + { + "epoch": 0.39, + "learning_rate": 1.384546139956061e-05, + "loss": 0.8384, + "step": 2052 + }, + { + "epoch": 0.39, + "learning_rate": 1.3839731654383203e-05, + "loss": 0.8171, + "step": 2053 + }, + { + "epoch": 0.39, + "learning_rate": 1.3834000430246155e-05, + "loss": 0.8727, + "step": 2054 + }, + { + "epoch": 0.39, + "learning_rate": 1.382826772935697e-05, + "loss": 0.8381, + "step": 2055 + }, + { + "epoch": 0.39, + "learning_rate": 1.3822533553923732e-05, + "loss": 0.7593, + "step": 2056 + }, + { + "epoch": 0.39, + "learning_rate": 1.3816797906155086e-05, + "loss": 0.8746, + "step": 2057 + }, + { + "epoch": 0.39, + "learning_rate": 1.381106078826025e-05, + "loss": 0.7824, + "step": 2058 + }, + { + "epoch": 0.39, + "learning_rate": 1.3805322202448999e-05, + "loss": 0.3515, + "step": 2059 + }, + { + "epoch": 0.39, + "learning_rate": 1.3799582150931684e-05, + "loss": 0.8554, + "step": 2060 + }, + { + "epoch": 0.39, + "learning_rate": 1.3793840635919217e-05, + "loss": 0.7949, + "step": 2061 + }, + { + "epoch": 0.4, + "learning_rate": 1.3788097659623073e-05, + "loss": 0.7822, + "step": 2062 + }, + { + "epoch": 0.4, + "learning_rate": 1.3782353224255283e-05, + "loss": 0.8597, + "step": 2063 + }, + { + "epoch": 0.4, + "learning_rate": 1.3776607332028454e-05, + "loss": 0.7989, + "step": 2064 + }, + { + "epoch": 0.4, + "learning_rate": 1.3770859985155744e-05, + "loss": 0.3556, + "step": 2065 + }, + { + "epoch": 0.4, + "learning_rate": 1.3765111185850868e-05, + "loss": 0.7718, + "step": 2066 + }, + { + "epoch": 0.4, + "learning_rate": 1.3759360936328117e-05, + "loss": 0.8068, + "step": 2067 + }, + { + "epoch": 0.4, + "learning_rate": 1.3753609238802321e-05, + "loss": 0.7722, + "step": 2068 + }, + { + "epoch": 0.4, + "learning_rate": 1.3747856095488881e-05, + "loss": 0.8526, + "step": 2069 + }, + { + "epoch": 0.4, + "learning_rate": 1.3742101508603748e-05, + "loss": 0.8715, + "step": 2070 + }, + { + "epoch": 0.4, + "learning_rate": 1.3736345480363435e-05, + "loss": 0.3505, + "step": 2071 + }, + { + "epoch": 0.4, + "learning_rate": 1.3730588012985004e-05, + "loss": 0.8536, + "step": 2072 + }, + { + "epoch": 0.4, + "learning_rate": 1.3724829108686076e-05, + "loss": 0.8246, + "step": 2073 + }, + { + "epoch": 0.4, + "learning_rate": 1.371906876968482e-05, + "loss": 0.8364, + "step": 2074 + }, + { + "epoch": 0.4, + "learning_rate": 1.3713306998199962e-05, + "loss": 0.7967, + "step": 2075 + }, + { + "epoch": 0.4, + "learning_rate": 1.3707543796450784e-05, + "loss": 0.8353, + "step": 2076 + }, + { + "epoch": 0.4, + "learning_rate": 1.3701779166657108e-05, + "loss": 0.8355, + "step": 2077 + }, + { + "epoch": 0.4, + "learning_rate": 1.369601311103931e-05, + "loss": 0.8586, + "step": 2078 + }, + { + "epoch": 0.4, + "learning_rate": 1.3690245631818326e-05, + "loss": 0.8631, + "step": 2079 + }, + { + "epoch": 0.4, + "learning_rate": 1.3684476731215622e-05, + "loss": 0.7983, + "step": 2080 + }, + { + "epoch": 0.4, + "learning_rate": 1.3678706411453227e-05, + "loss": 0.8138, + "step": 2081 + }, + { + "epoch": 0.4, + "learning_rate": 1.3672934674753705e-05, + "loss": 0.8195, + "step": 2082 + }, + { + "epoch": 0.4, + "learning_rate": 1.3667161523340177e-05, + "loss": 0.7739, + "step": 2083 + }, + { + "epoch": 0.4, + "learning_rate": 1.36613869594363e-05, + "loss": 0.8144, + "step": 2084 + }, + { + "epoch": 0.4, + "learning_rate": 1.3655610985266279e-05, + "loss": 0.8179, + "step": 2085 + }, + { + "epoch": 0.4, + "learning_rate": 1.364983360305486e-05, + "loss": 0.8099, + "step": 2086 + }, + { + "epoch": 0.4, + "learning_rate": 1.3644054815027333e-05, + "loss": 0.8758, + "step": 2087 + }, + { + "epoch": 0.4, + "learning_rate": 1.3638274623409529e-05, + "loss": 0.8157, + "step": 2088 + }, + { + "epoch": 0.4, + "learning_rate": 1.363249303042782e-05, + "loss": 0.777, + "step": 2089 + }, + { + "epoch": 0.4, + "learning_rate": 1.3626710038309118e-05, + "loss": 0.8052, + "step": 2090 + }, + { + "epoch": 0.4, + "learning_rate": 1.3620925649280873e-05, + "loss": 0.9001, + "step": 2091 + }, + { + "epoch": 0.4, + "learning_rate": 1.3615139865571074e-05, + "loss": 0.8967, + "step": 2092 + }, + { + "epoch": 0.4, + "learning_rate": 1.3609352689408248e-05, + "loss": 0.7621, + "step": 2093 + }, + { + "epoch": 0.4, + "learning_rate": 1.3603564123021454e-05, + "loss": 0.812, + "step": 2094 + }, + { + "epoch": 0.4, + "learning_rate": 1.359777416864029e-05, + "loss": 0.831, + "step": 2095 + }, + { + "epoch": 0.4, + "learning_rate": 1.3591982828494891e-05, + "loss": 0.7856, + "step": 2096 + }, + { + "epoch": 0.4, + "learning_rate": 1.3586190104815919e-05, + "loss": 0.7996, + "step": 2097 + }, + { + "epoch": 0.4, + "learning_rate": 1.3580395999834575e-05, + "loss": 0.8185, + "step": 2098 + }, + { + "epoch": 0.4, + "learning_rate": 1.357460051578259e-05, + "loss": 0.8511, + "step": 2099 + }, + { + "epoch": 0.4, + "learning_rate": 1.3568803654892227e-05, + "loss": 0.8576, + "step": 2100 + }, + { + "epoch": 0.4, + "learning_rate": 1.3563005419396276e-05, + "loss": 0.8555, + "step": 2101 + }, + { + "epoch": 0.4, + "learning_rate": 1.3557205811528059e-05, + "loss": 0.8844, + "step": 2102 + }, + { + "epoch": 0.4, + "learning_rate": 1.3551404833521425e-05, + "loss": 0.8598, + "step": 2103 + }, + { + "epoch": 0.4, + "learning_rate": 1.3545602487610755e-05, + "loss": 0.8649, + "step": 2104 + }, + { + "epoch": 0.4, + "learning_rate": 1.3539798776030954e-05, + "loss": 0.8023, + "step": 2105 + }, + { + "epoch": 0.4, + "learning_rate": 1.353399370101745e-05, + "loss": 0.8915, + "step": 2106 + }, + { + "epoch": 0.4, + "learning_rate": 1.3528187264806208e-05, + "loss": 0.8258, + "step": 2107 + }, + { + "epoch": 0.4, + "learning_rate": 1.3522379469633694e-05, + "loss": 0.3468, + "step": 2108 + }, + { + "epoch": 0.4, + "learning_rate": 1.351657031773692e-05, + "loss": 0.8095, + "step": 2109 + }, + { + "epoch": 0.4, + "learning_rate": 1.3510759811353418e-05, + "loss": 0.8494, + "step": 2110 + }, + { + "epoch": 0.4, + "learning_rate": 1.3504947952721226e-05, + "loss": 0.7548, + "step": 2111 + }, + { + "epoch": 0.4, + "learning_rate": 1.3499134744078917e-05, + "loss": 0.8822, + "step": 2112 + }, + { + "epoch": 0.4, + "learning_rate": 1.3493320187665582e-05, + "loss": 0.8587, + "step": 2113 + }, + { + "epoch": 0.41, + "learning_rate": 1.3487504285720827e-05, + "loss": 0.8359, + "step": 2114 + }, + { + "epoch": 0.41, + "learning_rate": 1.348168704048478e-05, + "loss": 0.8199, + "step": 2115 + }, + { + "epoch": 0.41, + "learning_rate": 1.347586845419808e-05, + "loss": 0.762, + "step": 2116 + }, + { + "epoch": 0.41, + "learning_rate": 1.3470048529101893e-05, + "loss": 0.9259, + "step": 2117 + }, + { + "epoch": 0.41, + "learning_rate": 1.3464227267437893e-05, + "loss": 0.797, + "step": 2118 + }, + { + "epoch": 0.41, + "learning_rate": 1.3458404671448273e-05, + "loss": 0.8314, + "step": 2119 + }, + { + "epoch": 0.41, + "learning_rate": 1.345258074337573e-05, + "loss": 0.8633, + "step": 2120 + }, + { + "epoch": 0.41, + "learning_rate": 1.3446755485463495e-05, + "loss": 0.8507, + "step": 2121 + }, + { + "epoch": 0.41, + "learning_rate": 1.3440928899955285e-05, + "loss": 0.7885, + "step": 2122 + }, + { + "epoch": 0.41, + "learning_rate": 1.3435100989095346e-05, + "loss": 0.8142, + "step": 2123 + }, + { + "epoch": 0.41, + "learning_rate": 1.3429271755128437e-05, + "loss": 0.7953, + "step": 2124 + }, + { + "epoch": 0.41, + "learning_rate": 1.3423441200299807e-05, + "loss": 0.893, + "step": 2125 + }, + { + "epoch": 0.41, + "learning_rate": 1.3417609326855237e-05, + "loss": 0.9076, + "step": 2126 + }, + { + "epoch": 0.41, + "learning_rate": 1.3411776137041002e-05, + "loss": 0.8384, + "step": 2127 + }, + { + "epoch": 0.41, + "learning_rate": 1.340594163310388e-05, + "loss": 0.8354, + "step": 2128 + }, + { + "epoch": 0.41, + "learning_rate": 1.3400105817291174e-05, + "loss": 0.8366, + "step": 2129 + }, + { + "epoch": 0.41, + "learning_rate": 1.339426869185067e-05, + "loss": 0.8495, + "step": 2130 + }, + { + "epoch": 0.41, + "learning_rate": 1.338843025903068e-05, + "loss": 0.8838, + "step": 2131 + }, + { + "epoch": 0.41, + "learning_rate": 1.3382590521079999e-05, + "loss": 0.8135, + "step": 2132 + }, + { + "epoch": 0.41, + "learning_rate": 1.3376749480247941e-05, + "loss": 0.8596, + "step": 2133 + }, + { + "epoch": 0.41, + "learning_rate": 1.337090713878431e-05, + "loss": 0.7941, + "step": 2134 + }, + { + "epoch": 0.41, + "learning_rate": 1.3365063498939422e-05, + "loss": 0.8312, + "step": 2135 + }, + { + "epoch": 0.41, + "learning_rate": 1.335921856296408e-05, + "loss": 0.7828, + "step": 2136 + }, + { + "epoch": 0.41, + "learning_rate": 1.33533723331096e-05, + "loss": 0.8742, + "step": 2137 + }, + { + "epoch": 0.41, + "learning_rate": 1.3347524811627788e-05, + "loss": 0.8829, + "step": 2138 + }, + { + "epoch": 0.41, + "learning_rate": 1.3341676000770946e-05, + "loss": 0.3498, + "step": 2139 + }, + { + "epoch": 0.41, + "learning_rate": 1.3335825902791881e-05, + "loss": 0.7706, + "step": 2140 + }, + { + "epoch": 0.41, + "learning_rate": 1.3329974519943892e-05, + "loss": 0.8935, + "step": 2141 + }, + { + "epoch": 0.41, + "learning_rate": 1.3324121854480763e-05, + "loss": 0.8417, + "step": 2142 + }, + { + "epoch": 0.41, + "learning_rate": 1.331826790865679e-05, + "loss": 0.8282, + "step": 2143 + }, + { + "epoch": 0.41, + "learning_rate": 1.3312412684726743e-05, + "loss": 0.8006, + "step": 2144 + }, + { + "epoch": 0.41, + "learning_rate": 1.3306556184945904e-05, + "loss": 0.8118, + "step": 2145 + }, + { + "epoch": 0.41, + "learning_rate": 1.3300698411570035e-05, + "loss": 0.8742, + "step": 2146 + }, + { + "epoch": 0.41, + "learning_rate": 1.3294839366855386e-05, + "loss": 0.8559, + "step": 2147 + }, + { + "epoch": 0.41, + "learning_rate": 1.3288979053058701e-05, + "loss": 0.7807, + "step": 2148 + }, + { + "epoch": 0.41, + "learning_rate": 1.3283117472437215e-05, + "loss": 0.8659, + "step": 2149 + }, + { + "epoch": 0.41, + "learning_rate": 1.3277254627248648e-05, + "loss": 0.8576, + "step": 2150 + }, + { + "epoch": 0.41, + "learning_rate": 1.3271390519751206e-05, + "loss": 0.8718, + "step": 2151 + }, + { + "epoch": 0.41, + "learning_rate": 1.326552515220359e-05, + "loss": 0.8293, + "step": 2152 + }, + { + "epoch": 0.41, + "learning_rate": 1.3259658526864967e-05, + "loss": 0.8128, + "step": 2153 + }, + { + "epoch": 0.41, + "learning_rate": 1.3253790645995011e-05, + "loss": 0.8106, + "step": 2154 + }, + { + "epoch": 0.41, + "learning_rate": 1.3247921511853865e-05, + "loss": 0.8339, + "step": 2155 + }, + { + "epoch": 0.41, + "learning_rate": 1.3242051126702155e-05, + "loss": 0.7964, + "step": 2156 + }, + { + "epoch": 0.41, + "learning_rate": 1.3236179492801005e-05, + "loss": 0.7963, + "step": 2157 + }, + { + "epoch": 0.41, + "learning_rate": 1.3230306612411994e-05, + "loss": 0.863, + "step": 2158 + }, + { + "epoch": 0.41, + "learning_rate": 1.3224432487797203e-05, + "loss": 0.8384, + "step": 2159 + }, + { + "epoch": 0.41, + "learning_rate": 1.3218557121219186e-05, + "loss": 0.8545, + "step": 2160 + }, + { + "epoch": 0.41, + "learning_rate": 1.3212680514940965e-05, + "loss": 0.8136, + "step": 2161 + }, + { + "epoch": 0.41, + "learning_rate": 1.3206802671226054e-05, + "loss": 0.9162, + "step": 2162 + }, + { + "epoch": 0.41, + "learning_rate": 1.3200923592338436e-05, + "loss": 0.8617, + "step": 2163 + }, + { + "epoch": 0.41, + "learning_rate": 1.3195043280542575e-05, + "loss": 0.8441, + "step": 2164 + }, + { + "epoch": 0.41, + "learning_rate": 1.3189161738103401e-05, + "loss": 0.8258, + "step": 2165 + }, + { + "epoch": 0.41, + "learning_rate": 1.3183278967286328e-05, + "loss": 0.9148, + "step": 2166 + }, + { + "epoch": 0.42, + "learning_rate": 1.3177394970357233e-05, + "loss": 0.8618, + "step": 2167 + }, + { + "epoch": 0.42, + "learning_rate": 1.3171509749582476e-05, + "loss": 0.8282, + "step": 2168 + }, + { + "epoch": 0.42, + "learning_rate": 1.3165623307228882e-05, + "loss": 0.88, + "step": 2169 + }, + { + "epoch": 0.42, + "learning_rate": 1.3159735645563743e-05, + "loss": 0.8149, + "step": 2170 + }, + { + "epoch": 0.42, + "learning_rate": 1.3153846766854831e-05, + "loss": 0.8103, + "step": 2171 + }, + { + "epoch": 0.42, + "learning_rate": 1.3147956673370381e-05, + "loss": 0.8844, + "step": 2172 + }, + { + "epoch": 0.42, + "learning_rate": 1.3142065367379089e-05, + "loss": 0.8341, + "step": 2173 + }, + { + "epoch": 0.42, + "learning_rate": 1.3136172851150137e-05, + "loss": 0.802, + "step": 2174 + }, + { + "epoch": 0.42, + "learning_rate": 1.3130279126953147e-05, + "loss": 0.3889, + "step": 2175 + }, + { + "epoch": 0.42, + "learning_rate": 1.3124384197058231e-05, + "loss": 0.8268, + "step": 2176 + }, + { + "epoch": 0.42, + "learning_rate": 1.311848806373595e-05, + "loss": 0.8029, + "step": 2177 + }, + { + "epoch": 0.42, + "learning_rate": 1.3112590729257337e-05, + "loss": 0.8402, + "step": 2178 + }, + { + "epoch": 0.42, + "learning_rate": 1.310669219589388e-05, + "loss": 0.8232, + "step": 2179 + }, + { + "epoch": 0.42, + "learning_rate": 1.3100792465917535e-05, + "loss": 0.8467, + "step": 2180 + }, + { + "epoch": 0.42, + "learning_rate": 1.3094891541600716e-05, + "loss": 0.8193, + "step": 2181 + }, + { + "epoch": 0.42, + "learning_rate": 1.3088989425216299e-05, + "loss": 0.8462, + "step": 2182 + }, + { + "epoch": 0.42, + "learning_rate": 1.3083086119037613e-05, + "loss": 0.8136, + "step": 2183 + }, + { + "epoch": 0.42, + "learning_rate": 1.3077181625338455e-05, + "loss": 0.8712, + "step": 2184 + }, + { + "epoch": 0.42, + "learning_rate": 1.3071275946393076e-05, + "loss": 0.877, + "step": 2185 + }, + { + "epoch": 0.42, + "learning_rate": 1.3065369084476179e-05, + "loss": 0.9001, + "step": 2186 + }, + { + "epoch": 0.42, + "learning_rate": 1.3059461041862922e-05, + "loss": 0.8615, + "step": 2187 + }, + { + "epoch": 0.42, + "learning_rate": 1.3053551820828932e-05, + "loss": 0.3568, + "step": 2188 + }, + { + "epoch": 0.42, + "learning_rate": 1.3047641423650267e-05, + "loss": 0.3797, + "step": 2189 + }, + { + "epoch": 0.42, + "learning_rate": 1.3041729852603458e-05, + "loss": 0.3727, + "step": 2190 + }, + { + "epoch": 0.42, + "learning_rate": 1.3035817109965483e-05, + "loss": 0.7658, + "step": 2191 + }, + { + "epoch": 0.42, + "learning_rate": 1.3029903198013759e-05, + "loss": 0.8284, + "step": 2192 + }, + { + "epoch": 0.42, + "learning_rate": 1.3023988119026169e-05, + "loss": 0.8715, + "step": 2193 + }, + { + "epoch": 0.42, + "learning_rate": 1.3018071875281043e-05, + "loss": 0.8024, + "step": 2194 + }, + { + "epoch": 0.42, + "learning_rate": 1.301215446905715e-05, + "loss": 0.34, + "step": 2195 + }, + { + "epoch": 0.42, + "learning_rate": 1.3006235902633716e-05, + "loss": 0.8807, + "step": 2196 + }, + { + "epoch": 0.42, + "learning_rate": 1.3000316178290414e-05, + "loss": 0.935, + "step": 2197 + }, + { + "epoch": 0.42, + "learning_rate": 1.2994395298307354e-05, + "loss": 0.8721, + "step": 2198 + }, + { + "epoch": 0.42, + "learning_rate": 1.29884732649651e-05, + "loss": 0.8135, + "step": 2199 + }, + { + "epoch": 0.42, + "learning_rate": 1.2982550080544658e-05, + "loss": 0.3701, + "step": 2200 + }, + { + "epoch": 0.42, + "learning_rate": 1.2976625747327473e-05, + "loss": 0.8761, + "step": 2201 + }, + { + "epoch": 0.42, + "learning_rate": 1.2970700267595444e-05, + "loss": 0.8278, + "step": 2202 + }, + { + "epoch": 0.42, + "learning_rate": 1.2964773643630895e-05, + "loss": 0.8887, + "step": 2203 + }, + { + "epoch": 0.42, + "learning_rate": 1.2958845877716604e-05, + "loss": 0.8708, + "step": 2204 + }, + { + "epoch": 0.42, + "learning_rate": 1.2952916972135786e-05, + "loss": 0.8517, + "step": 2205 + }, + { + "epoch": 0.42, + "learning_rate": 1.2946986929172087e-05, + "loss": 0.8217, + "step": 2206 + }, + { + "epoch": 0.42, + "learning_rate": 1.2941055751109604e-05, + "loss": 0.7972, + "step": 2207 + }, + { + "epoch": 0.42, + "learning_rate": 1.2935123440232862e-05, + "loss": 0.8132, + "step": 2208 + }, + { + "epoch": 0.42, + "learning_rate": 1.2929189998826826e-05, + "loss": 0.3757, + "step": 2209 + }, + { + "epoch": 0.42, + "learning_rate": 1.2923255429176892e-05, + "loss": 0.8532, + "step": 2210 + }, + { + "epoch": 0.42, + "learning_rate": 1.2917319733568899e-05, + "loss": 0.8239, + "step": 2211 + }, + { + "epoch": 0.42, + "learning_rate": 1.291138291428911e-05, + "loss": 0.7981, + "step": 2212 + }, + { + "epoch": 0.42, + "learning_rate": 1.2905444973624227e-05, + "loss": 0.8994, + "step": 2213 + }, + { + "epoch": 0.42, + "learning_rate": 1.2899505913861385e-05, + "loss": 0.8732, + "step": 2214 + }, + { + "epoch": 0.42, + "learning_rate": 1.289356573728814e-05, + "loss": 0.8175, + "step": 2215 + }, + { + "epoch": 0.42, + "learning_rate": 1.2887624446192497e-05, + "loss": 0.8562, + "step": 2216 + }, + { + "epoch": 0.42, + "learning_rate": 1.288168204286287e-05, + "loss": 0.8396, + "step": 2217 + }, + { + "epoch": 0.42, + "learning_rate": 1.2875738529588112e-05, + "loss": 0.8234, + "step": 2218 + }, + { + "epoch": 0.43, + "learning_rate": 1.2869793908657507e-05, + "loss": 0.7796, + "step": 2219 + }, + { + "epoch": 0.43, + "learning_rate": 1.2863848182360752e-05, + "loss": 0.805, + "step": 2220 + }, + { + "epoch": 0.43, + "learning_rate": 1.2857901352987983e-05, + "loss": 0.8174, + "step": 2221 + }, + { + "epoch": 0.43, + "learning_rate": 1.2851953422829757e-05, + "loss": 0.8445, + "step": 2222 + }, + { + "epoch": 0.43, + "learning_rate": 1.2846004394177051e-05, + "loss": 0.8587, + "step": 2223 + }, + { + "epoch": 0.43, + "learning_rate": 1.2840054269321271e-05, + "loss": 0.7916, + "step": 2224 + }, + { + "epoch": 0.43, + "learning_rate": 1.2834103050554241e-05, + "loss": 0.8441, + "step": 2225 + }, + { + "epoch": 0.43, + "learning_rate": 1.2828150740168208e-05, + "loss": 0.8029, + "step": 2226 + }, + { + "epoch": 0.43, + "learning_rate": 1.282219734045584e-05, + "loss": 0.8261, + "step": 2227 + }, + { + "epoch": 0.43, + "learning_rate": 1.281624285371022e-05, + "loss": 0.8087, + "step": 2228 + }, + { + "epoch": 0.43, + "learning_rate": 1.2810287282224859e-05, + "loss": 0.8733, + "step": 2229 + }, + { + "epoch": 0.43, + "learning_rate": 1.2804330628293676e-05, + "loss": 0.8251, + "step": 2230 + }, + { + "epoch": 0.43, + "learning_rate": 1.2798372894211015e-05, + "loss": 0.8138, + "step": 2231 + }, + { + "epoch": 0.43, + "learning_rate": 1.2792414082271627e-05, + "loss": 0.85, + "step": 2232 + }, + { + "epoch": 0.43, + "learning_rate": 1.278645419477069e-05, + "loss": 0.8217, + "step": 2233 + }, + { + "epoch": 0.43, + "learning_rate": 1.2780493234003782e-05, + "loss": 0.8619, + "step": 2234 + }, + { + "epoch": 0.43, + "learning_rate": 1.2774531202266908e-05, + "loss": 0.8217, + "step": 2235 + }, + { + "epoch": 0.43, + "learning_rate": 1.2768568101856482e-05, + "loss": 0.801, + "step": 2236 + }, + { + "epoch": 0.43, + "learning_rate": 1.2762603935069317e-05, + "loss": 0.8466, + "step": 2237 + }, + { + "epoch": 0.43, + "learning_rate": 1.2756638704202657e-05, + "loss": 0.8581, + "step": 2238 + }, + { + "epoch": 0.43, + "learning_rate": 1.2750672411554144e-05, + "loss": 0.7659, + "step": 2239 + }, + { + "epoch": 0.43, + "learning_rate": 1.2744705059421825e-05, + "loss": 0.8217, + "step": 2240 + }, + { + "epoch": 0.43, + "learning_rate": 1.2738736650104166e-05, + "loss": 0.8679, + "step": 2241 + }, + { + "epoch": 0.43, + "learning_rate": 1.2732767185900033e-05, + "loss": 0.8273, + "step": 2242 + }, + { + "epoch": 0.43, + "learning_rate": 1.2726796669108703e-05, + "loss": 0.8152, + "step": 2243 + }, + { + "epoch": 0.43, + "learning_rate": 1.2720825102029852e-05, + "loss": 0.8069, + "step": 2244 + }, + { + "epoch": 0.43, + "learning_rate": 1.2714852486963568e-05, + "loss": 0.824, + "step": 2245 + }, + { + "epoch": 0.43, + "learning_rate": 1.2708878826210334e-05, + "loss": 0.8523, + "step": 2246 + }, + { + "epoch": 0.43, + "learning_rate": 1.2702904122071049e-05, + "loss": 0.7759, + "step": 2247 + }, + { + "epoch": 0.43, + "learning_rate": 1.2696928376846998e-05, + "loss": 0.7669, + "step": 2248 + }, + { + "epoch": 0.43, + "learning_rate": 1.2690951592839878e-05, + "loss": 0.7415, + "step": 2249 + }, + { + "epoch": 0.43, + "learning_rate": 1.2684973772351783e-05, + "loss": 0.8227, + "step": 2250 + }, + { + "epoch": 0.43, + "learning_rate": 1.2678994917685204e-05, + "loss": 0.8722, + "step": 2251 + }, + { + "epoch": 0.43, + "learning_rate": 1.2673015031143035e-05, + "loss": 0.8684, + "step": 2252 + }, + { + "epoch": 0.43, + "learning_rate": 1.266703411502856e-05, + "loss": 0.8322, + "step": 2253 + }, + { + "epoch": 0.43, + "learning_rate": 1.2661052171645472e-05, + "loss": 0.8566, + "step": 2254 + }, + { + "epoch": 0.43, + "learning_rate": 1.2655069203297845e-05, + "loss": 0.8766, + "step": 2255 + }, + { + "epoch": 0.43, + "learning_rate": 1.264908521229016e-05, + "loss": 0.822, + "step": 2256 + }, + { + "epoch": 0.43, + "learning_rate": 1.2643100200927283e-05, + "loss": 0.8892, + "step": 2257 + }, + { + "epoch": 0.43, + "learning_rate": 1.2637114171514478e-05, + "loss": 0.7939, + "step": 2258 + }, + { + "epoch": 0.43, + "learning_rate": 1.26311271263574e-05, + "loss": 0.8451, + "step": 2259 + }, + { + "epoch": 0.43, + "learning_rate": 1.262513906776209e-05, + "loss": 0.7983, + "step": 2260 + }, + { + "epoch": 0.43, + "learning_rate": 1.2619149998034998e-05, + "loss": 0.8614, + "step": 2261 + }, + { + "epoch": 0.43, + "learning_rate": 1.2613159919482937e-05, + "loss": 0.8689, + "step": 2262 + }, + { + "epoch": 0.43, + "learning_rate": 1.2607168834413126e-05, + "loss": 0.808, + "step": 2263 + }, + { + "epoch": 0.43, + "learning_rate": 1.2601176745133171e-05, + "loss": 0.7733, + "step": 2264 + }, + { + "epoch": 0.43, + "learning_rate": 1.2595183653951048e-05, + "loss": 0.8106, + "step": 2265 + }, + { + "epoch": 0.43, + "learning_rate": 1.2589189563175149e-05, + "loss": 0.7977, + "step": 2266 + }, + { + "epoch": 0.43, + "learning_rate": 1.2583194475114223e-05, + "loss": 0.799, + "step": 2267 + }, + { + "epoch": 0.43, + "learning_rate": 1.2577198392077414e-05, + "loss": 0.8767, + "step": 2268 + }, + { + "epoch": 0.43, + "learning_rate": 1.2571201316374255e-05, + "loss": 0.7096, + "step": 2269 + }, + { + "epoch": 0.43, + "learning_rate": 1.2565203250314653e-05, + "loss": 0.8255, + "step": 2270 + }, + { + "epoch": 0.44, + "learning_rate": 1.2559204196208896e-05, + "loss": 0.828, + "step": 2271 + }, + { + "epoch": 0.44, + "learning_rate": 1.255320415636766e-05, + "loss": 0.8544, + "step": 2272 + }, + { + "epoch": 0.44, + "learning_rate": 1.2547203133101996e-05, + "loss": 0.8584, + "step": 2273 + }, + { + "epoch": 0.44, + "learning_rate": 1.2541201128723328e-05, + "loss": 0.862, + "step": 2274 + }, + { + "epoch": 0.44, + "learning_rate": 1.253519814554347e-05, + "loss": 0.8387, + "step": 2275 + }, + { + "epoch": 0.44, + "learning_rate": 1.2529194185874606e-05, + "loss": 0.7358, + "step": 2276 + }, + { + "epoch": 0.44, + "learning_rate": 1.2523189252029296e-05, + "loss": 0.8517, + "step": 2277 + }, + { + "epoch": 0.44, + "learning_rate": 1.2517183346320479e-05, + "loss": 0.8399, + "step": 2278 + }, + { + "epoch": 0.44, + "learning_rate": 1.2511176471061462e-05, + "loss": 0.3863, + "step": 2279 + }, + { + "epoch": 0.44, + "learning_rate": 1.250516862856593e-05, + "loss": 0.8896, + "step": 2280 + }, + { + "epoch": 0.44, + "learning_rate": 1.2499159821147942e-05, + "loss": 0.8383, + "step": 2281 + }, + { + "epoch": 0.44, + "learning_rate": 1.2493150051121922e-05, + "loss": 0.8803, + "step": 2282 + }, + { + "epoch": 0.44, + "learning_rate": 1.2487139320802673e-05, + "loss": 0.8284, + "step": 2283 + }, + { + "epoch": 0.44, + "learning_rate": 1.2481127632505364e-05, + "loss": 0.3564, + "step": 2284 + }, + { + "epoch": 0.44, + "learning_rate": 1.247511498854553e-05, + "loss": 0.8882, + "step": 2285 + }, + { + "epoch": 0.44, + "learning_rate": 1.246910139123908e-05, + "loss": 0.8076, + "step": 2286 + }, + { + "epoch": 0.44, + "learning_rate": 1.2463086842902285e-05, + "loss": 0.8183, + "step": 2287 + }, + { + "epoch": 0.44, + "learning_rate": 1.2457071345851786e-05, + "loss": 0.8567, + "step": 2288 + }, + { + "epoch": 0.44, + "learning_rate": 1.2451054902404586e-05, + "loss": 0.8088, + "step": 2289 + }, + { + "epoch": 0.44, + "learning_rate": 1.2445037514878057e-05, + "loss": 0.8444, + "step": 2290 + }, + { + "epoch": 0.44, + "learning_rate": 1.243901918558993e-05, + "loss": 0.8167, + "step": 2291 + }, + { + "epoch": 0.44, + "learning_rate": 1.2432999916858306e-05, + "loss": 0.8378, + "step": 2292 + }, + { + "epoch": 0.44, + "learning_rate": 1.2426979711001637e-05, + "loss": 0.7824, + "step": 2293 + }, + { + "epoch": 0.44, + "learning_rate": 1.2420958570338739e-05, + "loss": 0.8397, + "step": 2294 + }, + { + "epoch": 0.44, + "learning_rate": 1.2414936497188803e-05, + "loss": 0.8437, + "step": 2295 + }, + { + "epoch": 0.44, + "learning_rate": 1.2408913493871353e-05, + "loss": 0.7989, + "step": 2296 + }, + { + "epoch": 0.44, + "learning_rate": 1.2402889562706294e-05, + "loss": 0.3727, + "step": 2297 + }, + { + "epoch": 0.44, + "learning_rate": 1.2396864706013874e-05, + "loss": 0.8677, + "step": 2298 + }, + { + "epoch": 0.44, + "learning_rate": 1.2390838926114709e-05, + "loss": 0.8325, + "step": 2299 + }, + { + "epoch": 0.44, + "learning_rate": 1.2384812225329761e-05, + "loss": 0.8404, + "step": 2300 + }, + { + "epoch": 0.44, + "learning_rate": 1.2378784605980349e-05, + "loss": 0.8335, + "step": 2301 + }, + { + "epoch": 0.44, + "learning_rate": 1.2372756070388152e-05, + "loss": 0.3442, + "step": 2302 + }, + { + "epoch": 0.44, + "learning_rate": 1.2366726620875194e-05, + "loss": 0.8045, + "step": 2303 + }, + { + "epoch": 0.44, + "learning_rate": 1.2360696259763852e-05, + "loss": 0.8216, + "step": 2304 + }, + { + "epoch": 0.44, + "learning_rate": 1.2354664989376856e-05, + "loss": 0.8146, + "step": 2305 + }, + { + "epoch": 0.44, + "learning_rate": 1.2348632812037296e-05, + "loss": 0.8374, + "step": 2306 + }, + { + "epoch": 0.44, + "learning_rate": 1.2342599730068592e-05, + "loss": 0.7937, + "step": 2307 + }, + { + "epoch": 0.44, + "learning_rate": 1.2336565745794521e-05, + "loss": 0.7837, + "step": 2308 + }, + { + "epoch": 0.44, + "learning_rate": 1.2330530861539219e-05, + "loss": 0.8228, + "step": 2309 + }, + { + "epoch": 0.44, + "learning_rate": 1.2324495079627148e-05, + "loss": 0.3676, + "step": 2310 + }, + { + "epoch": 0.44, + "learning_rate": 1.2318458402383131e-05, + "loss": 0.8312, + "step": 2311 + }, + { + "epoch": 0.44, + "learning_rate": 1.2312420832132332e-05, + "loss": 0.7439, + "step": 2312 + }, + { + "epoch": 0.44, + "learning_rate": 1.2306382371200253e-05, + "loss": 0.7874, + "step": 2313 + }, + { + "epoch": 0.44, + "learning_rate": 1.2300343021912748e-05, + "loss": 0.8276, + "step": 2314 + }, + { + "epoch": 0.44, + "learning_rate": 1.229430278659601e-05, + "loss": 0.3788, + "step": 2315 + }, + { + "epoch": 0.44, + "learning_rate": 1.2288261667576572e-05, + "loss": 0.8212, + "step": 2316 + }, + { + "epoch": 0.44, + "learning_rate": 1.2282219667181306e-05, + "loss": 0.8628, + "step": 2317 + }, + { + "epoch": 0.44, + "learning_rate": 1.2276176787737424e-05, + "loss": 0.7967, + "step": 2318 + }, + { + "epoch": 0.44, + "learning_rate": 1.2270133031572482e-05, + "loss": 0.8299, + "step": 2319 + }, + { + "epoch": 0.44, + "learning_rate": 1.2264088401014366e-05, + "loss": 0.8388, + "step": 2320 + }, + { + "epoch": 0.44, + "learning_rate": 1.2258042898391306e-05, + "loss": 0.3708, + "step": 2321 + }, + { + "epoch": 0.44, + "learning_rate": 1.2251996526031861e-05, + "loss": 0.7975, + "step": 2322 + }, + { + "epoch": 0.45, + "learning_rate": 1.2245949286264933e-05, + "loss": 0.7821, + "step": 2323 + }, + { + "epoch": 0.45, + "learning_rate": 1.2239901181419747e-05, + "loss": 0.8178, + "step": 2324 + }, + { + "epoch": 0.45, + "learning_rate": 1.2233852213825872e-05, + "loss": 0.8359, + "step": 2325 + }, + { + "epoch": 0.45, + "learning_rate": 1.2227802385813206e-05, + "loss": 0.8349, + "step": 2326 + }, + { + "epoch": 0.45, + "learning_rate": 1.222175169971197e-05, + "loss": 0.844, + "step": 2327 + }, + { + "epoch": 0.45, + "learning_rate": 1.2215700157852732e-05, + "loss": 0.8031, + "step": 2328 + }, + { + "epoch": 0.45, + "learning_rate": 1.2209647762566374e-05, + "loss": 0.7977, + "step": 2329 + }, + { + "epoch": 0.45, + "learning_rate": 1.2203594516184116e-05, + "loss": 0.8474, + "step": 2330 + }, + { + "epoch": 0.45, + "learning_rate": 1.2197540421037505e-05, + "loss": 0.8382, + "step": 2331 + }, + { + "epoch": 0.45, + "learning_rate": 1.2191485479458406e-05, + "loss": 0.7868, + "step": 2332 + }, + { + "epoch": 0.45, + "learning_rate": 1.2185429693779025e-05, + "loss": 0.8294, + "step": 2333 + }, + { + "epoch": 0.45, + "learning_rate": 1.217937306633188e-05, + "loss": 0.3209, + "step": 2334 + }, + { + "epoch": 0.45, + "learning_rate": 1.2173315599449821e-05, + "loss": 0.8393, + "step": 2335 + }, + { + "epoch": 0.45, + "learning_rate": 1.2167257295466016e-05, + "loss": 0.8328, + "step": 2336 + }, + { + "epoch": 0.45, + "learning_rate": 1.2161198156713961e-05, + "loss": 0.3585, + "step": 2337 + }, + { + "epoch": 0.45, + "learning_rate": 1.2155138185527467e-05, + "loss": 0.7154, + "step": 2338 + }, + { + "epoch": 0.45, + "learning_rate": 1.2149077384240673e-05, + "loss": 0.8912, + "step": 2339 + }, + { + "epoch": 0.45, + "learning_rate": 1.214301575518803e-05, + "loss": 0.8075, + "step": 2340 + }, + { + "epoch": 0.45, + "learning_rate": 1.2136953300704315e-05, + "loss": 0.7998, + "step": 2341 + }, + { + "epoch": 0.45, + "learning_rate": 1.213089002312462e-05, + "loss": 0.8261, + "step": 2342 + }, + { + "epoch": 0.45, + "learning_rate": 1.2124825924784349e-05, + "loss": 0.8742, + "step": 2343 + }, + { + "epoch": 0.45, + "learning_rate": 1.211876100801923e-05, + "loss": 0.819, + "step": 2344 + }, + { + "epoch": 0.45, + "learning_rate": 1.2112695275165309e-05, + "loss": 0.8481, + "step": 2345 + }, + { + "epoch": 0.45, + "learning_rate": 1.2106628728558929e-05, + "loss": 0.843, + "step": 2346 + }, + { + "epoch": 0.45, + "learning_rate": 1.2100561370536767e-05, + "loss": 0.7419, + "step": 2347 + }, + { + "epoch": 0.45, + "learning_rate": 1.20944932034358e-05, + "loss": 0.7885, + "step": 2348 + }, + { + "epoch": 0.45, + "learning_rate": 1.2088424229593318e-05, + "loss": 0.8194, + "step": 2349 + }, + { + "epoch": 0.45, + "learning_rate": 1.2082354451346928e-05, + "loss": 0.7888, + "step": 2350 + }, + { + "epoch": 0.45, + "learning_rate": 1.2076283871034537e-05, + "loss": 0.8737, + "step": 2351 + }, + { + "epoch": 0.45, + "learning_rate": 1.2070212490994374e-05, + "loss": 0.8588, + "step": 2352 + }, + { + "epoch": 0.45, + "learning_rate": 1.2064140313564963e-05, + "loss": 0.8592, + "step": 2353 + }, + { + "epoch": 0.45, + "learning_rate": 1.2058067341085142e-05, + "loss": 0.8131, + "step": 2354 + }, + { + "epoch": 0.45, + "learning_rate": 1.2051993575894052e-05, + "loss": 0.864, + "step": 2355 + }, + { + "epoch": 0.45, + "learning_rate": 1.204591902033115e-05, + "loss": 0.8707, + "step": 2356 + }, + { + "epoch": 0.45, + "learning_rate": 1.2039843676736177e-05, + "loss": 0.8613, + "step": 2357 + }, + { + "epoch": 0.45, + "learning_rate": 1.2033767547449196e-05, + "loss": 0.8769, + "step": 2358 + }, + { + "epoch": 0.45, + "learning_rate": 1.2027690634810565e-05, + "loss": 0.764, + "step": 2359 + }, + { + "epoch": 0.45, + "learning_rate": 1.202161294116094e-05, + "loss": 0.8423, + "step": 2360 + }, + { + "epoch": 0.45, + "learning_rate": 1.2015534468841293e-05, + "loss": 0.7995, + "step": 2361 + }, + { + "epoch": 0.45, + "learning_rate": 1.2009455220192873e-05, + "loss": 0.8676, + "step": 2362 + }, + { + "epoch": 0.45, + "learning_rate": 1.200337519755725e-05, + "loss": 0.8345, + "step": 2363 + }, + { + "epoch": 0.45, + "learning_rate": 1.1997294403276275e-05, + "loss": 0.7561, + "step": 2364 + }, + { + "epoch": 0.45, + "learning_rate": 1.199121283969211e-05, + "loss": 0.8096, + "step": 2365 + }, + { + "epoch": 0.45, + "learning_rate": 1.1985130509147205e-05, + "loss": 0.9007, + "step": 2366 + }, + { + "epoch": 0.45, + "learning_rate": 1.1979047413984306e-05, + "loss": 0.8012, + "step": 2367 + }, + { + "epoch": 0.45, + "learning_rate": 1.1972963556546453e-05, + "loss": 0.8788, + "step": 2368 + }, + { + "epoch": 0.45, + "learning_rate": 1.1966878939176985e-05, + "loss": 0.8176, + "step": 2369 + }, + { + "epoch": 0.45, + "learning_rate": 1.1960793564219532e-05, + "loss": 0.7955, + "step": 2370 + }, + { + "epoch": 0.45, + "learning_rate": 1.1954707434018008e-05, + "loss": 0.3809, + "step": 2371 + }, + { + "epoch": 0.45, + "learning_rate": 1.194862055091663e-05, + "loss": 0.8031, + "step": 2372 + }, + { + "epoch": 0.45, + "learning_rate": 1.1942532917259897e-05, + "loss": 0.7823, + "step": 2373 + }, + { + "epoch": 0.45, + "learning_rate": 1.1936444535392592e-05, + "loss": 0.8636, + "step": 2374 + }, + { + "epoch": 0.46, + "learning_rate": 1.1930355407659805e-05, + "loss": 0.8843, + "step": 2375 + }, + { + "epoch": 0.46, + "learning_rate": 1.1924265536406898e-05, + "loss": 0.8184, + "step": 2376 + }, + { + "epoch": 0.46, + "learning_rate": 1.1918174923979517e-05, + "loss": 0.8004, + "step": 2377 + }, + { + "epoch": 0.46, + "learning_rate": 1.1912083572723603e-05, + "loss": 0.7906, + "step": 2378 + }, + { + "epoch": 0.46, + "learning_rate": 1.1905991484985381e-05, + "loss": 0.7688, + "step": 2379 + }, + { + "epoch": 0.46, + "learning_rate": 1.1899898663111353e-05, + "loss": 0.8281, + "step": 2380 + }, + { + "epoch": 0.46, + "learning_rate": 1.1893805109448308e-05, + "loss": 0.7767, + "step": 2381 + }, + { + "epoch": 0.46, + "learning_rate": 1.1887710826343316e-05, + "loss": 0.8101, + "step": 2382 + }, + { + "epoch": 0.46, + "learning_rate": 1.188161581614373e-05, + "loss": 0.8283, + "step": 2383 + }, + { + "epoch": 0.46, + "learning_rate": 1.1875520081197178e-05, + "loss": 0.8772, + "step": 2384 + }, + { + "epoch": 0.46, + "learning_rate": 1.1869423623851575e-05, + "loss": 0.8809, + "step": 2385 + }, + { + "epoch": 0.46, + "learning_rate": 1.1863326446455103e-05, + "loss": 0.8511, + "step": 2386 + }, + { + "epoch": 0.46, + "learning_rate": 1.1857228551356236e-05, + "loss": 0.8461, + "step": 2387 + }, + { + "epoch": 0.46, + "learning_rate": 1.1851129940903712e-05, + "loss": 0.8365, + "step": 2388 + }, + { + "epoch": 0.46, + "learning_rate": 1.1845030617446549e-05, + "loss": 0.8183, + "step": 2389 + }, + { + "epoch": 0.46, + "learning_rate": 1.1838930583334043e-05, + "loss": 0.8835, + "step": 2390 + }, + { + "epoch": 0.46, + "learning_rate": 1.1832829840915752e-05, + "loss": 0.815, + "step": 2391 + }, + { + "epoch": 0.46, + "learning_rate": 1.1826728392541524e-05, + "loss": 0.8524, + "step": 2392 + }, + { + "epoch": 0.46, + "learning_rate": 1.1820626240561468e-05, + "loss": 0.8998, + "step": 2393 + }, + { + "epoch": 0.46, + "learning_rate": 1.1814523387325962e-05, + "loss": 0.8591, + "step": 2394 + }, + { + "epoch": 0.46, + "learning_rate": 1.1808419835185662e-05, + "loss": 0.8476, + "step": 2395 + }, + { + "epoch": 0.46, + "learning_rate": 1.1802315586491491e-05, + "loss": 0.7941, + "step": 2396 + }, + { + "epoch": 0.46, + "learning_rate": 1.1796210643594634e-05, + "loss": 0.8445, + "step": 2397 + }, + { + "epoch": 0.46, + "learning_rate": 1.179010500884655e-05, + "loss": 0.8153, + "step": 2398 + }, + { + "epoch": 0.46, + "learning_rate": 1.1783998684598966e-05, + "loss": 0.8406, + "step": 2399 + }, + { + "epoch": 0.46, + "learning_rate": 1.1777891673203863e-05, + "loss": 0.8439, + "step": 2400 + }, + { + "epoch": 0.46, + "learning_rate": 1.1771783977013504e-05, + "loss": 0.8355, + "step": 2401 + }, + { + "epoch": 0.46, + "learning_rate": 1.1765675598380401e-05, + "loss": 0.8275, + "step": 2402 + }, + { + "epoch": 0.46, + "learning_rate": 1.1759566539657334e-05, + "loss": 0.7858, + "step": 2403 + }, + { + "epoch": 0.46, + "learning_rate": 1.1753456803197352e-05, + "loss": 0.8751, + "step": 2404 + }, + { + "epoch": 0.46, + "learning_rate": 1.1747346391353746e-05, + "loss": 0.8223, + "step": 2405 + }, + { + "epoch": 0.46, + "learning_rate": 1.1741235306480093e-05, + "loss": 0.8467, + "step": 2406 + }, + { + "epoch": 0.46, + "learning_rate": 1.173512355093021e-05, + "loss": 0.8345, + "step": 2407 + }, + { + "epoch": 0.46, + "learning_rate": 1.1729011127058177e-05, + "loss": 0.8822, + "step": 2408 + }, + { + "epoch": 0.46, + "learning_rate": 1.1722898037218332e-05, + "loss": 0.8376, + "step": 2409 + }, + { + "epoch": 0.46, + "learning_rate": 1.1716784283765272e-05, + "loss": 0.8476, + "step": 2410 + }, + { + "epoch": 0.46, + "learning_rate": 1.171066986905385e-05, + "loss": 0.8291, + "step": 2411 + }, + { + "epoch": 0.46, + "learning_rate": 1.1704554795439166e-05, + "loss": 0.8492, + "step": 2412 + }, + { + "epoch": 0.46, + "learning_rate": 1.1698439065276584e-05, + "loss": 0.8466, + "step": 2413 + }, + { + "epoch": 0.46, + "learning_rate": 1.1692322680921712e-05, + "loss": 0.7927, + "step": 2414 + }, + { + "epoch": 0.46, + "learning_rate": 1.1686205644730417e-05, + "loss": 0.8044, + "step": 2415 + }, + { + "epoch": 0.46, + "learning_rate": 1.1680087959058814e-05, + "loss": 0.8046, + "step": 2416 + }, + { + "epoch": 0.46, + "learning_rate": 1.1673969626263265e-05, + "loss": 0.7966, + "step": 2417 + }, + { + "epoch": 0.46, + "learning_rate": 1.166785064870039e-05, + "loss": 0.8436, + "step": 2418 + }, + { + "epoch": 0.46, + "learning_rate": 1.1661731028727043e-05, + "loss": 0.8232, + "step": 2419 + }, + { + "epoch": 0.46, + "learning_rate": 1.1655610768700343e-05, + "loss": 0.8452, + "step": 2420 + }, + { + "epoch": 0.46, + "learning_rate": 1.1649489870977648e-05, + "loss": 0.836, + "step": 2421 + }, + { + "epoch": 0.46, + "learning_rate": 1.1643368337916549e-05, + "loss": 0.8282, + "step": 2422 + }, + { + "epoch": 0.46, + "learning_rate": 1.1637246171874905e-05, + "loss": 0.7665, + "step": 2423 + }, + { + "epoch": 0.46, + "learning_rate": 1.16311233752108e-05, + "loss": 0.8131, + "step": 2424 + }, + { + "epoch": 0.46, + "learning_rate": 1.1624999950282572e-05, + "loss": 0.841, + "step": 2425 + }, + { + "epoch": 0.46, + "learning_rate": 1.1618875899448794e-05, + "loss": 0.8336, + "step": 2426 + }, + { + "epoch": 0.46, + "learning_rate": 1.1612751225068283e-05, + "loss": 0.3309, + "step": 2427 + }, + { + "epoch": 0.47, + "learning_rate": 1.1606625929500099e-05, + "loss": 0.7979, + "step": 2428 + }, + { + "epoch": 0.47, + "learning_rate": 1.1600500015103538e-05, + "loss": 0.3919, + "step": 2429 + }, + { + "epoch": 0.47, + "learning_rate": 1.159437348423813e-05, + "loss": 0.8635, + "step": 2430 + }, + { + "epoch": 0.47, + "learning_rate": 1.1588246339263649e-05, + "loss": 0.7817, + "step": 2431 + }, + { + "epoch": 0.47, + "learning_rate": 1.1582118582540107e-05, + "loss": 0.8176, + "step": 2432 + }, + { + "epoch": 0.47, + "learning_rate": 1.1575990216427748e-05, + "loss": 0.7956, + "step": 2433 + }, + { + "epoch": 0.47, + "learning_rate": 1.1569861243287047e-05, + "loss": 0.3634, + "step": 2434 + }, + { + "epoch": 0.47, + "learning_rate": 1.1563731665478722e-05, + "loss": 0.8756, + "step": 2435 + }, + { + "epoch": 0.47, + "learning_rate": 1.1557601485363711e-05, + "loss": 0.8111, + "step": 2436 + }, + { + "epoch": 0.47, + "learning_rate": 1.15514707053032e-05, + "loss": 0.8201, + "step": 2437 + }, + { + "epoch": 0.47, + "learning_rate": 1.1545339327658596e-05, + "loss": 0.7612, + "step": 2438 + }, + { + "epoch": 0.47, + "learning_rate": 1.1539207354791534e-05, + "loss": 0.8557, + "step": 2439 + }, + { + "epoch": 0.47, + "learning_rate": 1.1533074789063888e-05, + "loss": 0.7742, + "step": 2440 + }, + { + "epoch": 0.47, + "learning_rate": 1.152694163283775e-05, + "loss": 0.8349, + "step": 2441 + }, + { + "epoch": 0.47, + "learning_rate": 1.1520807888475444e-05, + "loss": 0.3668, + "step": 2442 + }, + { + "epoch": 0.47, + "learning_rate": 1.1514673558339524e-05, + "loss": 0.8031, + "step": 2443 + }, + { + "epoch": 0.47, + "learning_rate": 1.1508538644792766e-05, + "loss": 0.8413, + "step": 2444 + }, + { + "epoch": 0.47, + "learning_rate": 1.1502403150198164e-05, + "loss": 0.8177, + "step": 2445 + }, + { + "epoch": 0.47, + "learning_rate": 1.1496267076918957e-05, + "loss": 0.8037, + "step": 2446 + }, + { + "epoch": 0.47, + "learning_rate": 1.1490130427318578e-05, + "loss": 0.3507, + "step": 2447 + }, + { + "epoch": 0.47, + "learning_rate": 1.1483993203760702e-05, + "loss": 0.8942, + "step": 2448 + }, + { + "epoch": 0.47, + "learning_rate": 1.1477855408609225e-05, + "loss": 0.8966, + "step": 2449 + }, + { + "epoch": 0.47, + "learning_rate": 1.1471717044228248e-05, + "loss": 0.84, + "step": 2450 + }, + { + "epoch": 0.47, + "learning_rate": 1.1465578112982107e-05, + "loss": 0.8432, + "step": 2451 + }, + { + "epoch": 0.47, + "learning_rate": 1.1459438617235353e-05, + "loss": 0.8351, + "step": 2452 + }, + { + "epoch": 0.47, + "learning_rate": 1.1453298559352746e-05, + "loss": 0.3431, + "step": 2453 + }, + { + "epoch": 0.47, + "learning_rate": 1.1447157941699272e-05, + "loss": 0.8584, + "step": 2454 + }, + { + "epoch": 0.47, + "learning_rate": 1.1441016766640127e-05, + "loss": 0.8218, + "step": 2455 + }, + { + "epoch": 0.47, + "learning_rate": 1.1434875036540726e-05, + "loss": 0.748, + "step": 2456 + }, + { + "epoch": 0.47, + "learning_rate": 1.1428732753766694e-05, + "loss": 0.8723, + "step": 2457 + }, + { + "epoch": 0.47, + "learning_rate": 1.1422589920683871e-05, + "loss": 0.8483, + "step": 2458 + }, + { + "epoch": 0.47, + "learning_rate": 1.1416446539658308e-05, + "loss": 0.7825, + "step": 2459 + }, + { + "epoch": 0.47, + "learning_rate": 1.1410302613056266e-05, + "loss": 0.8183, + "step": 2460 + }, + { + "epoch": 0.47, + "learning_rate": 1.140415814324422e-05, + "loss": 0.7978, + "step": 2461 + }, + { + "epoch": 0.47, + "learning_rate": 1.1398013132588848e-05, + "loss": 0.7936, + "step": 2462 + }, + { + "epoch": 0.47, + "learning_rate": 1.1391867583457048e-05, + "loss": 0.7999, + "step": 2463 + }, + { + "epoch": 0.47, + "learning_rate": 1.1385721498215907e-05, + "loss": 0.8438, + "step": 2464 + }, + { + "epoch": 0.47, + "learning_rate": 1.1379574879232736e-05, + "loss": 0.3327, + "step": 2465 + }, + { + "epoch": 0.47, + "learning_rate": 1.1373427728875047e-05, + "loss": 0.8653, + "step": 2466 + }, + { + "epoch": 0.47, + "learning_rate": 1.1367280049510544e-05, + "loss": 0.7659, + "step": 2467 + }, + { + "epoch": 0.47, + "learning_rate": 1.136113184350715e-05, + "loss": 0.8222, + "step": 2468 + }, + { + "epoch": 0.47, + "learning_rate": 1.1354983113232993e-05, + "loss": 0.8105, + "step": 2469 + }, + { + "epoch": 0.47, + "learning_rate": 1.1348833861056388e-05, + "loss": 0.82, + "step": 2470 + }, + { + "epoch": 0.47, + "learning_rate": 1.1342684089345859e-05, + "loss": 0.8164, + "step": 2471 + }, + { + "epoch": 0.47, + "learning_rate": 1.133653380047013e-05, + "loss": 0.6813, + "step": 2472 + }, + { + "epoch": 0.47, + "learning_rate": 1.1330382996798128e-05, + "loss": 0.9097, + "step": 2473 + }, + { + "epoch": 0.47, + "learning_rate": 1.1324231680698972e-05, + "loss": 0.7641, + "step": 2474 + }, + { + "epoch": 0.47, + "learning_rate": 1.131807985454198e-05, + "loss": 0.3493, + "step": 2475 + }, + { + "epoch": 0.47, + "learning_rate": 1.1311927520696667e-05, + "loss": 0.76, + "step": 2476 + }, + { + "epoch": 0.47, + "learning_rate": 1.1305774681532747e-05, + "loss": 0.8968, + "step": 2477 + }, + { + "epoch": 0.47, + "learning_rate": 1.1299621339420119e-05, + "loss": 0.8406, + "step": 2478 + }, + { + "epoch": 0.47, + "learning_rate": 1.1293467496728886e-05, + "loss": 0.7934, + "step": 2479 + }, + { + "epoch": 0.48, + "learning_rate": 1.1287313155829348e-05, + "loss": 0.8066, + "step": 2480 + }, + { + "epoch": 0.48, + "learning_rate": 1.1281158319091971e-05, + "loss": 0.8054, + "step": 2481 + }, + { + "epoch": 0.48, + "learning_rate": 1.1275002988887444e-05, + "loss": 0.8852, + "step": 2482 + }, + { + "epoch": 0.48, + "learning_rate": 1.1268847167586629e-05, + "loss": 0.7844, + "step": 2483 + }, + { + "epoch": 0.48, + "learning_rate": 1.1262690857560577e-05, + "loss": 0.8219, + "step": 2484 + }, + { + "epoch": 0.48, + "learning_rate": 1.1256534061180534e-05, + "loss": 0.7494, + "step": 2485 + }, + { + "epoch": 0.48, + "learning_rate": 1.1250376780817926e-05, + "loss": 0.788, + "step": 2486 + }, + { + "epoch": 0.48, + "learning_rate": 1.124421901884437e-05, + "loss": 0.7831, + "step": 2487 + }, + { + "epoch": 0.48, + "learning_rate": 1.123806077763167e-05, + "loss": 0.8223, + "step": 2488 + }, + { + "epoch": 0.48, + "learning_rate": 1.1231902059551809e-05, + "loss": 0.9238, + "step": 2489 + }, + { + "epoch": 0.48, + "learning_rate": 1.1225742866976958e-05, + "loss": 0.8192, + "step": 2490 + }, + { + "epoch": 0.48, + "learning_rate": 1.1219583202279471e-05, + "loss": 0.8707, + "step": 2491 + }, + { + "epoch": 0.48, + "learning_rate": 1.121342306783188e-05, + "loss": 0.8473, + "step": 2492 + }, + { + "epoch": 0.48, + "learning_rate": 1.1207262466006904e-05, + "loss": 0.8351, + "step": 2493 + }, + { + "epoch": 0.48, + "learning_rate": 1.1201101399177434e-05, + "loss": 0.8034, + "step": 2494 + }, + { + "epoch": 0.48, + "learning_rate": 1.1194939869716546e-05, + "loss": 0.8376, + "step": 2495 + }, + { + "epoch": 0.48, + "learning_rate": 1.1188777879997492e-05, + "loss": 0.894, + "step": 2496 + }, + { + "epoch": 0.48, + "learning_rate": 1.1182615432393707e-05, + "loss": 0.8233, + "step": 2497 + }, + { + "epoch": 0.48, + "learning_rate": 1.1176452529278789e-05, + "loss": 0.8264, + "step": 2498 + }, + { + "epoch": 0.48, + "learning_rate": 1.1170289173026527e-05, + "loss": 0.7682, + "step": 2499 + }, + { + "epoch": 0.48, + "learning_rate": 1.1164125366010872e-05, + "loss": 0.8565, + "step": 2500 + }, + { + "epoch": 0.48, + "learning_rate": 1.1157961110605958e-05, + "loss": 0.8151, + "step": 2501 + }, + { + "epoch": 0.48, + "learning_rate": 1.1151796409186084e-05, + "loss": 0.8399, + "step": 2502 + }, + { + "epoch": 0.48, + "learning_rate": 1.1145631264125729e-05, + "loss": 0.8155, + "step": 2503 + }, + { + "epoch": 0.48, + "learning_rate": 1.1139465677799535e-05, + "loss": 0.7874, + "step": 2504 + }, + { + "epoch": 0.48, + "learning_rate": 1.1133299652582317e-05, + "loss": 0.8278, + "step": 2505 + }, + { + "epoch": 0.48, + "learning_rate": 1.1127133190849062e-05, + "loss": 0.8436, + "step": 2506 + }, + { + "epoch": 0.48, + "learning_rate": 1.1120966294974917e-05, + "loss": 0.8211, + "step": 2507 + }, + { + "epoch": 0.48, + "learning_rate": 1.1114798967335209e-05, + "loss": 0.8531, + "step": 2508 + }, + { + "epoch": 0.48, + "learning_rate": 1.1108631210305418e-05, + "loss": 0.8357, + "step": 2509 + }, + { + "epoch": 0.48, + "learning_rate": 1.11024630262612e-05, + "loss": 0.8295, + "step": 2510 + }, + { + "epoch": 0.48, + "learning_rate": 1.1096294417578369e-05, + "loss": 0.7938, + "step": 2511 + }, + { + "epoch": 0.48, + "learning_rate": 1.1090125386632899e-05, + "loss": 0.8203, + "step": 2512 + }, + { + "epoch": 0.48, + "learning_rate": 1.1083955935800946e-05, + "loss": 0.7388, + "step": 2513 + }, + { + "epoch": 0.48, + "learning_rate": 1.1077786067458796e-05, + "loss": 0.7971, + "step": 2514 + }, + { + "epoch": 0.48, + "learning_rate": 1.1071615783982925e-05, + "loss": 0.7896, + "step": 2515 + }, + { + "epoch": 0.48, + "learning_rate": 1.1065445087749958e-05, + "loss": 0.8132, + "step": 2516 + }, + { + "epoch": 0.48, + "learning_rate": 1.1059273981136671e-05, + "loss": 0.8247, + "step": 2517 + }, + { + "epoch": 0.48, + "learning_rate": 1.105310246652001e-05, + "loss": 0.8363, + "step": 2518 + }, + { + "epoch": 0.48, + "learning_rate": 1.1046930546277077e-05, + "loss": 0.8051, + "step": 2519 + }, + { + "epoch": 0.48, + "learning_rate": 1.1040758222785121e-05, + "loss": 0.7844, + "step": 2520 + }, + { + "epoch": 0.48, + "learning_rate": 1.1034585498421557e-05, + "loss": 0.8311, + "step": 2521 + }, + { + "epoch": 0.48, + "learning_rate": 1.1028412375563947e-05, + "loss": 0.7825, + "step": 2522 + }, + { + "epoch": 0.48, + "learning_rate": 1.1022238856590006e-05, + "loss": 0.7942, + "step": 2523 + }, + { + "epoch": 0.48, + "learning_rate": 1.1016064943877612e-05, + "loss": 0.7877, + "step": 2524 + }, + { + "epoch": 0.48, + "learning_rate": 1.1009890639804782e-05, + "loss": 0.825, + "step": 2525 + }, + { + "epoch": 0.48, + "learning_rate": 1.100371594674969e-05, + "loss": 0.8247, + "step": 2526 + }, + { + "epoch": 0.48, + "learning_rate": 1.099754086709066e-05, + "loss": 0.7991, + "step": 2527 + }, + { + "epoch": 0.48, + "learning_rate": 1.0991365403206162e-05, + "loss": 0.8151, + "step": 2528 + }, + { + "epoch": 0.48, + "learning_rate": 1.098518955747482e-05, + "loss": 0.8158, + "step": 2529 + }, + { + "epoch": 0.48, + "learning_rate": 1.0979013332275399e-05, + "loss": 0.8144, + "step": 2530 + }, + { + "epoch": 0.48, + "learning_rate": 1.0972836729986807e-05, + "loss": 0.7769, + "step": 2531 + }, + { + "epoch": 0.49, + "learning_rate": 1.096665975298811e-05, + "loss": 0.8182, + "step": 2532 + }, + { + "epoch": 0.49, + "learning_rate": 1.0960482403658505e-05, + "loss": 0.8055, + "step": 2533 + }, + { + "epoch": 0.49, + "learning_rate": 1.0954304684377341e-05, + "loss": 0.8131, + "step": 2534 + }, + { + "epoch": 0.49, + "learning_rate": 1.0948126597524108e-05, + "loss": 0.8043, + "step": 2535 + }, + { + "epoch": 0.49, + "learning_rate": 1.0941948145478431e-05, + "loss": 0.7736, + "step": 2536 + }, + { + "epoch": 0.49, + "learning_rate": 1.0935769330620085e-05, + "loss": 0.8287, + "step": 2537 + }, + { + "epoch": 0.49, + "learning_rate": 1.092959015532898e-05, + "loss": 0.8152, + "step": 2538 + }, + { + "epoch": 0.49, + "learning_rate": 1.0923410621985165e-05, + "loss": 0.8772, + "step": 2539 + }, + { + "epoch": 0.49, + "learning_rate": 1.0917230732968824e-05, + "loss": 0.7958, + "step": 2540 + }, + { + "epoch": 0.49, + "learning_rate": 1.0911050490660289e-05, + "loss": 0.3382, + "step": 2541 + }, + { + "epoch": 0.49, + "learning_rate": 1.0904869897440012e-05, + "loss": 0.8297, + "step": 2542 + }, + { + "epoch": 0.49, + "learning_rate": 1.089868895568859e-05, + "loss": 0.7826, + "step": 2543 + }, + { + "epoch": 0.49, + "learning_rate": 1.0892507667786761e-05, + "loss": 0.8193, + "step": 2544 + }, + { + "epoch": 0.49, + "learning_rate": 1.0886326036115376e-05, + "loss": 0.8349, + "step": 2545 + }, + { + "epoch": 0.49, + "learning_rate": 1.0880144063055438e-05, + "loss": 0.3446, + "step": 2546 + }, + { + "epoch": 0.49, + "learning_rate": 1.0873961750988074e-05, + "loss": 0.8225, + "step": 2547 + }, + { + "epoch": 0.49, + "learning_rate": 1.0867779102294538e-05, + "loss": 0.862, + "step": 2548 + }, + { + "epoch": 0.49, + "learning_rate": 1.0861596119356221e-05, + "loss": 0.7573, + "step": 2549 + }, + { + "epoch": 0.49, + "learning_rate": 1.0855412804554637e-05, + "loss": 0.8216, + "step": 2550 + }, + { + "epoch": 0.49, + "learning_rate": 1.0849229160271431e-05, + "loss": 0.797, + "step": 2551 + }, + { + "epoch": 0.49, + "learning_rate": 1.084304518888837e-05, + "loss": 0.8501, + "step": 2552 + }, + { + "epoch": 0.49, + "learning_rate": 1.0836860892787355e-05, + "loss": 0.8338, + "step": 2553 + }, + { + "epoch": 0.49, + "learning_rate": 1.0830676274350403e-05, + "loss": 0.8219, + "step": 2554 + }, + { + "epoch": 0.49, + "learning_rate": 1.0824491335959669e-05, + "loss": 0.3742, + "step": 2555 + }, + { + "epoch": 0.49, + "learning_rate": 1.0818306079997411e-05, + "loss": 0.7908, + "step": 2556 + }, + { + "epoch": 0.49, + "learning_rate": 1.0812120508846026e-05, + "loss": 0.8231, + "step": 2557 + }, + { + "epoch": 0.49, + "learning_rate": 1.080593462488803e-05, + "loss": 0.8346, + "step": 2558 + }, + { + "epoch": 0.49, + "learning_rate": 1.079974843050605e-05, + "loss": 0.8267, + "step": 2559 + }, + { + "epoch": 0.49, + "learning_rate": 1.0793561928082843e-05, + "loss": 0.8458, + "step": 2560 + }, + { + "epoch": 0.49, + "learning_rate": 1.0787375120001281e-05, + "loss": 0.8329, + "step": 2561 + }, + { + "epoch": 0.49, + "learning_rate": 1.0781188008644347e-05, + "loss": 0.7182, + "step": 2562 + }, + { + "epoch": 0.49, + "learning_rate": 1.0775000596395157e-05, + "loss": 0.843, + "step": 2563 + }, + { + "epoch": 0.49, + "learning_rate": 1.0768812885636925e-05, + "loss": 0.7711, + "step": 2564 + }, + { + "epoch": 0.49, + "learning_rate": 1.0762624878752993e-05, + "loss": 0.8688, + "step": 2565 + }, + { + "epoch": 0.49, + "learning_rate": 1.0756436578126808e-05, + "loss": 0.8245, + "step": 2566 + }, + { + "epoch": 0.49, + "learning_rate": 1.0750247986141935e-05, + "loss": 0.7464, + "step": 2567 + }, + { + "epoch": 0.49, + "learning_rate": 1.0744059105182055e-05, + "loss": 0.7777, + "step": 2568 + }, + { + "epoch": 0.49, + "learning_rate": 1.0737869937630949e-05, + "loss": 0.7898, + "step": 2569 + }, + { + "epoch": 0.49, + "learning_rate": 1.073168048587252e-05, + "loss": 0.8307, + "step": 2570 + }, + { + "epoch": 0.49, + "learning_rate": 1.0725490752290772e-05, + "loss": 0.7384, + "step": 2571 + }, + { + "epoch": 0.49, + "learning_rate": 1.0719300739269827e-05, + "loss": 0.8619, + "step": 2572 + }, + { + "epoch": 0.49, + "learning_rate": 1.07131104491939e-05, + "loss": 0.8317, + "step": 2573 + }, + { + "epoch": 0.49, + "learning_rate": 1.0706919884447329e-05, + "loss": 0.8169, + "step": 2574 + }, + { + "epoch": 0.49, + "learning_rate": 1.0700729047414551e-05, + "loss": 0.7859, + "step": 2575 + }, + { + "epoch": 0.49, + "learning_rate": 1.0694537940480099e-05, + "loss": 0.8461, + "step": 2576 + }, + { + "epoch": 0.49, + "learning_rate": 1.0688346566028622e-05, + "loss": 0.6659, + "step": 2577 + }, + { + "epoch": 0.49, + "learning_rate": 1.0682154926444873e-05, + "loss": 0.8658, + "step": 2578 + }, + { + "epoch": 0.49, + "learning_rate": 1.0675963024113696e-05, + "loss": 0.8324, + "step": 2579 + }, + { + "epoch": 0.49, + "learning_rate": 1.0669770861420046e-05, + "loss": 0.8045, + "step": 2580 + }, + { + "epoch": 0.49, + "learning_rate": 1.0663578440748972e-05, + "loss": 0.8194, + "step": 2581 + }, + { + "epoch": 0.49, + "learning_rate": 1.0657385764485625e-05, + "loss": 0.7644, + "step": 2582 + }, + { + "epoch": 0.49, + "learning_rate": 1.0651192835015261e-05, + "loss": 0.7313, + "step": 2583 + }, + { + "epoch": 0.5, + "learning_rate": 1.0644999654723218e-05, + "loss": 0.8652, + "step": 2584 + }, + { + "epoch": 0.5, + "learning_rate": 1.0638806225994945e-05, + "loss": 0.3511, + "step": 2585 + }, + { + "epoch": 0.5, + "learning_rate": 1.0632612551215984e-05, + "loss": 0.8016, + "step": 2586 + }, + { + "epoch": 0.5, + "learning_rate": 1.0626418632771962e-05, + "loss": 0.3393, + "step": 2587 + }, + { + "epoch": 0.5, + "learning_rate": 1.062022447304861e-05, + "loss": 0.8162, + "step": 2588 + }, + { + "epoch": 0.5, + "learning_rate": 1.0614030074431754e-05, + "loss": 0.7698, + "step": 2589 + }, + { + "epoch": 0.5, + "learning_rate": 1.0607835439307297e-05, + "loss": 0.8383, + "step": 2590 + }, + { + "epoch": 0.5, + "learning_rate": 1.060164057006125e-05, + "loss": 0.8387, + "step": 2591 + }, + { + "epoch": 0.5, + "learning_rate": 1.0595445469079707e-05, + "loss": 0.7946, + "step": 2592 + }, + { + "epoch": 0.5, + "learning_rate": 1.0589250138748852e-05, + "loss": 0.7862, + "step": 2593 + }, + { + "epoch": 0.5, + "learning_rate": 1.0583054581454953e-05, + "loss": 0.7965, + "step": 2594 + }, + { + "epoch": 0.5, + "learning_rate": 1.0576858799584373e-05, + "loss": 0.7752, + "step": 2595 + }, + { + "epoch": 0.5, + "learning_rate": 1.0570662795523554e-05, + "loss": 0.3865, + "step": 2596 + }, + { + "epoch": 0.5, + "learning_rate": 1.0564466571659032e-05, + "loss": 0.8107, + "step": 2597 + }, + { + "epoch": 0.5, + "learning_rate": 1.055827013037742e-05, + "loss": 0.8854, + "step": 2598 + }, + { + "epoch": 0.5, + "learning_rate": 1.055207347406542e-05, + "loss": 0.8812, + "step": 2599 + }, + { + "epoch": 0.5, + "learning_rate": 1.0545876605109808e-05, + "loss": 0.8475, + "step": 2600 + }, + { + "epoch": 0.5, + "learning_rate": 1.0539679525897457e-05, + "loss": 0.7859, + "step": 2601 + }, + { + "epoch": 0.5, + "learning_rate": 1.0533482238815308e-05, + "loss": 0.7996, + "step": 2602 + }, + { + "epoch": 0.5, + "learning_rate": 1.052728474625039e-05, + "loss": 0.8101, + "step": 2603 + }, + { + "epoch": 0.5, + "learning_rate": 1.05210870505898e-05, + "loss": 0.3427, + "step": 2604 + }, + { + "epoch": 0.5, + "learning_rate": 1.0514889154220728e-05, + "loss": 0.8479, + "step": 2605 + }, + { + "epoch": 0.5, + "learning_rate": 1.0508691059530436e-05, + "loss": 0.853, + "step": 2606 + }, + { + "epoch": 0.5, + "learning_rate": 1.0502492768906251e-05, + "loss": 0.863, + "step": 2607 + }, + { + "epoch": 0.5, + "learning_rate": 1.0496294284735595e-05, + "loss": 0.8089, + "step": 2608 + }, + { + "epoch": 0.5, + "learning_rate": 1.0490095609405951e-05, + "loss": 0.8527, + "step": 2609 + }, + { + "epoch": 0.5, + "learning_rate": 1.0483896745304875e-05, + "loss": 0.8063, + "step": 2610 + }, + { + "epoch": 0.5, + "learning_rate": 1.0477697694820008e-05, + "loss": 0.8025, + "step": 2611 + }, + { + "epoch": 0.5, + "learning_rate": 1.047149846033905e-05, + "loss": 0.8554, + "step": 2612 + }, + { + "epoch": 0.5, + "learning_rate": 1.0465299044249776e-05, + "loss": 0.87, + "step": 2613 + }, + { + "epoch": 0.5, + "learning_rate": 1.045909944894003e-05, + "loss": 0.7876, + "step": 2614 + }, + { + "epoch": 0.5, + "learning_rate": 1.0452899676797733e-05, + "loss": 0.789, + "step": 2615 + }, + { + "epoch": 0.5, + "learning_rate": 1.0446699730210858e-05, + "loss": 0.8052, + "step": 2616 + }, + { + "epoch": 0.5, + "learning_rate": 1.044049961156747e-05, + "loss": 0.8671, + "step": 2617 + }, + { + "epoch": 0.5, + "learning_rate": 1.043429932325567e-05, + "loss": 0.8683, + "step": 2618 + }, + { + "epoch": 0.5, + "learning_rate": 1.0428098867663645e-05, + "loss": 0.8473, + "step": 2619 + }, + { + "epoch": 0.5, + "learning_rate": 1.0421898247179647e-05, + "loss": 0.8167, + "step": 2620 + }, + { + "epoch": 0.5, + "learning_rate": 1.0415697464191974e-05, + "loss": 0.8727, + "step": 2621 + }, + { + "epoch": 0.5, + "learning_rate": 1.0409496521089006e-05, + "loss": 0.861, + "step": 2622 + }, + { + "epoch": 0.5, + "learning_rate": 1.0403295420259177e-05, + "loss": 0.8115, + "step": 2623 + }, + { + "epoch": 0.5, + "learning_rate": 1.0397094164090978e-05, + "loss": 0.7764, + "step": 2624 + }, + { + "epoch": 0.5, + "learning_rate": 1.0390892754972964e-05, + "loss": 0.8169, + "step": 2625 + }, + { + "epoch": 0.5, + "learning_rate": 1.038469119529375e-05, + "loss": 0.8166, + "step": 2626 + }, + { + "epoch": 0.5, + "learning_rate": 1.0378489487442005e-05, + "loss": 0.8271, + "step": 2627 + }, + { + "epoch": 0.5, + "learning_rate": 1.0372287633806459e-05, + "loss": 0.7671, + "step": 2628 + }, + { + "epoch": 0.5, + "learning_rate": 1.0366085636775896e-05, + "loss": 0.8738, + "step": 2629 + }, + { + "epoch": 0.5, + "learning_rate": 1.0359883498739151e-05, + "loss": 0.8382, + "step": 2630 + }, + { + "epoch": 0.5, + "learning_rate": 1.035368122208513e-05, + "loss": 0.8091, + "step": 2631 + }, + { + "epoch": 0.5, + "learning_rate": 1.0347478809202769e-05, + "loss": 0.8049, + "step": 2632 + }, + { + "epoch": 0.5, + "learning_rate": 1.034127626248107e-05, + "loss": 0.7877, + "step": 2633 + }, + { + "epoch": 0.5, + "learning_rate": 1.033507358430909e-05, + "loss": 0.8132, + "step": 2634 + }, + { + "epoch": 0.5, + "learning_rate": 1.0328870777075923e-05, + "loss": 0.8537, + "step": 2635 + }, + { + "epoch": 0.51, + "learning_rate": 1.0322667843170728e-05, + "loss": 0.8035, + "step": 2636 + }, + { + "epoch": 0.51, + "learning_rate": 1.0316464784982703e-05, + "loss": 0.362, + "step": 2637 + }, + { + "epoch": 0.51, + "learning_rate": 1.0310261604901093e-05, + "loss": 0.8428, + "step": 2638 + }, + { + "epoch": 0.51, + "learning_rate": 1.0304058305315196e-05, + "loss": 0.8112, + "step": 2639 + }, + { + "epoch": 0.51, + "learning_rate": 1.0297854888614356e-05, + "loss": 0.8605, + "step": 2640 + }, + { + "epoch": 0.51, + "learning_rate": 1.0291651357187957e-05, + "loss": 0.7734, + "step": 2641 + }, + { + "epoch": 0.51, + "learning_rate": 1.028544771342543e-05, + "loss": 0.7781, + "step": 2642 + }, + { + "epoch": 0.51, + "learning_rate": 1.0279243959716245e-05, + "loss": 0.8047, + "step": 2643 + }, + { + "epoch": 0.51, + "learning_rate": 1.0273040098449925e-05, + "loss": 0.755, + "step": 2644 + }, + { + "epoch": 0.51, + "learning_rate": 1.0266836132016024e-05, + "loss": 0.8126, + "step": 2645 + }, + { + "epoch": 0.51, + "learning_rate": 1.0260632062804143e-05, + "loss": 0.884, + "step": 2646 + }, + { + "epoch": 0.51, + "learning_rate": 1.0254427893203914e-05, + "loss": 0.8067, + "step": 2647 + }, + { + "epoch": 0.51, + "learning_rate": 1.024822362560502e-05, + "loss": 0.7866, + "step": 2648 + }, + { + "epoch": 0.51, + "learning_rate": 1.0242019262397171e-05, + "loss": 0.8137, + "step": 2649 + }, + { + "epoch": 0.51, + "learning_rate": 1.023581480597012e-05, + "loss": 0.827, + "step": 2650 + }, + { + "epoch": 0.51, + "learning_rate": 1.0229610258713656e-05, + "loss": 0.7999, + "step": 2651 + }, + { + "epoch": 0.51, + "learning_rate": 1.0223405623017595e-05, + "loss": 0.8391, + "step": 2652 + }, + { + "epoch": 0.51, + "learning_rate": 1.0217200901271798e-05, + "loss": 0.3667, + "step": 2653 + }, + { + "epoch": 0.51, + "learning_rate": 1.0210996095866152e-05, + "loss": 0.8584, + "step": 2654 + }, + { + "epoch": 0.51, + "learning_rate": 1.0204791209190581e-05, + "loss": 0.8243, + "step": 2655 + }, + { + "epoch": 0.51, + "learning_rate": 1.0198586243635034e-05, + "loss": 0.7865, + "step": 2656 + }, + { + "epoch": 0.51, + "learning_rate": 1.0192381201589497e-05, + "loss": 0.8135, + "step": 2657 + }, + { + "epoch": 0.51, + "learning_rate": 1.018617608544398e-05, + "loss": 0.8399, + "step": 2658 + }, + { + "epoch": 0.51, + "learning_rate": 1.0179970897588528e-05, + "loss": 0.8498, + "step": 2659 + }, + { + "epoch": 0.51, + "learning_rate": 1.0173765640413202e-05, + "loss": 0.8084, + "step": 2660 + }, + { + "epoch": 0.51, + "learning_rate": 1.0167560316308104e-05, + "loss": 0.836, + "step": 2661 + }, + { + "epoch": 0.51, + "learning_rate": 1.0161354927663358e-05, + "loss": 0.8049, + "step": 2662 + }, + { + "epoch": 0.51, + "learning_rate": 1.0155149476869103e-05, + "loss": 0.3898, + "step": 2663 + }, + { + "epoch": 0.51, + "learning_rate": 1.014894396631551e-05, + "loss": 0.8078, + "step": 2664 + }, + { + "epoch": 0.51, + "learning_rate": 1.014273839839278e-05, + "loss": 0.8243, + "step": 2665 + }, + { + "epoch": 0.51, + "learning_rate": 1.0136532775491114e-05, + "loss": 0.7924, + "step": 2666 + }, + { + "epoch": 0.51, + "learning_rate": 1.0130327100000758e-05, + "loss": 0.7829, + "step": 2667 + }, + { + "epoch": 0.51, + "learning_rate": 1.012412137431197e-05, + "loss": 0.8003, + "step": 2668 + }, + { + "epoch": 0.51, + "learning_rate": 1.0117915600815021e-05, + "loss": 0.856, + "step": 2669 + }, + { + "epoch": 0.51, + "learning_rate": 1.0111709781900204e-05, + "loss": 0.8079, + "step": 2670 + }, + { + "epoch": 0.51, + "learning_rate": 1.0105503919957837e-05, + "loss": 0.8363, + "step": 2671 + }, + { + "epoch": 0.51, + "learning_rate": 1.0099298017378242e-05, + "loss": 0.7447, + "step": 2672 + }, + { + "epoch": 0.51, + "learning_rate": 1.009309207655177e-05, + "loss": 0.8433, + "step": 2673 + }, + { + "epoch": 0.51, + "learning_rate": 1.008688609986877e-05, + "loss": 0.8298, + "step": 2674 + }, + { + "epoch": 0.51, + "learning_rate": 1.0080680089719624e-05, + "loss": 0.805, + "step": 2675 + }, + { + "epoch": 0.51, + "learning_rate": 1.0074474048494714e-05, + "loss": 0.8283, + "step": 2676 + }, + { + "epoch": 0.51, + "learning_rate": 1.0068267978584434e-05, + "loss": 0.7682, + "step": 2677 + }, + { + "epoch": 0.51, + "learning_rate": 1.0062061882379195e-05, + "loss": 0.7564, + "step": 2678 + }, + { + "epoch": 0.51, + "learning_rate": 1.0055855762269418e-05, + "loss": 0.8291, + "step": 2679 + }, + { + "epoch": 0.51, + "learning_rate": 1.0049649620645525e-05, + "loss": 0.3533, + "step": 2680 + }, + { + "epoch": 0.51, + "learning_rate": 1.0043443459897959e-05, + "loss": 0.8583, + "step": 2681 + }, + { + "epoch": 0.51, + "learning_rate": 1.0037237282417163e-05, + "loss": 0.8139, + "step": 2682 + }, + { + "epoch": 0.51, + "learning_rate": 1.0031031090593576e-05, + "loss": 0.8129, + "step": 2683 + }, + { + "epoch": 0.51, + "learning_rate": 1.002482488681767e-05, + "loss": 0.7769, + "step": 2684 + }, + { + "epoch": 0.51, + "learning_rate": 1.001861867347989e-05, + "loss": 0.8577, + "step": 2685 + }, + { + "epoch": 0.51, + "learning_rate": 1.0012412452970708e-05, + "loss": 0.7853, + "step": 2686 + }, + { + "epoch": 0.51, + "learning_rate": 1.000620622768059e-05, + "loss": 0.8346, + "step": 2687 + }, + { + "epoch": 0.51, + "learning_rate": 1e-05, + "loss": 0.8332, + "step": 2688 + }, + { + "epoch": 0.52, + "learning_rate": 9.993793772319412e-06, + "loss": 0.7631, + "step": 2689 + }, + { + "epoch": 0.52, + "learning_rate": 9.987587547029295e-06, + "loss": 0.8128, + "step": 2690 + }, + { + "epoch": 0.52, + "learning_rate": 9.981381326520112e-06, + "loss": 0.7911, + "step": 2691 + }, + { + "epoch": 0.52, + "learning_rate": 9.975175113182332e-06, + "loss": 0.8133, + "step": 2692 + }, + { + "epoch": 0.52, + "learning_rate": 9.968968909406422e-06, + "loss": 0.8562, + "step": 2693 + }, + { + "epoch": 0.52, + "learning_rate": 9.962762717582842e-06, + "loss": 0.8246, + "step": 2694 + }, + { + "epoch": 0.52, + "learning_rate": 9.956556540102043e-06, + "loss": 0.7829, + "step": 2695 + }, + { + "epoch": 0.52, + "learning_rate": 9.950350379354475e-06, + "loss": 0.8233, + "step": 2696 + }, + { + "epoch": 0.52, + "learning_rate": 9.944144237730587e-06, + "loss": 0.3571, + "step": 2697 + }, + { + "epoch": 0.52, + "learning_rate": 9.937938117620809e-06, + "loss": 0.8301, + "step": 2698 + }, + { + "epoch": 0.52, + "learning_rate": 9.931732021415569e-06, + "loss": 0.8467, + "step": 2699 + }, + { + "epoch": 0.52, + "learning_rate": 9.925525951505288e-06, + "loss": 0.7864, + "step": 2700 + }, + { + "epoch": 0.52, + "learning_rate": 9.919319910280381e-06, + "loss": 0.8342, + "step": 2701 + }, + { + "epoch": 0.52, + "learning_rate": 9.91311390013123e-06, + "loss": 0.7781, + "step": 2702 + }, + { + "epoch": 0.52, + "learning_rate": 9.906907923448232e-06, + "loss": 0.841, + "step": 2703 + }, + { + "epoch": 0.52, + "learning_rate": 9.900701982621761e-06, + "loss": 0.8287, + "step": 2704 + }, + { + "epoch": 0.52, + "learning_rate": 9.894496080042165e-06, + "loss": 0.8756, + "step": 2705 + }, + { + "epoch": 0.52, + "learning_rate": 9.888290218099797e-06, + "loss": 0.8011, + "step": 2706 + }, + { + "epoch": 0.52, + "learning_rate": 9.88208439918498e-06, + "loss": 0.8577, + "step": 2707 + }, + { + "epoch": 0.52, + "learning_rate": 9.875878625688033e-06, + "loss": 0.7721, + "step": 2708 + }, + { + "epoch": 0.52, + "learning_rate": 9.869672899999244e-06, + "loss": 0.7995, + "step": 2709 + }, + { + "epoch": 0.52, + "learning_rate": 9.863467224508887e-06, + "loss": 0.7744, + "step": 2710 + }, + { + "epoch": 0.52, + "learning_rate": 9.857261601607226e-06, + "loss": 0.3831, + "step": 2711 + }, + { + "epoch": 0.52, + "learning_rate": 9.851056033684492e-06, + "loss": 0.7747, + "step": 2712 + }, + { + "epoch": 0.52, + "learning_rate": 9.844850523130899e-06, + "loss": 0.7892, + "step": 2713 + }, + { + "epoch": 0.52, + "learning_rate": 9.838645072336647e-06, + "loss": 0.792, + "step": 2714 + }, + { + "epoch": 0.52, + "learning_rate": 9.832439683691897e-06, + "loss": 0.764, + "step": 2715 + }, + { + "epoch": 0.52, + "learning_rate": 9.8262343595868e-06, + "loss": 0.8292, + "step": 2716 + }, + { + "epoch": 0.52, + "learning_rate": 9.820029102411477e-06, + "loss": 0.8422, + "step": 2717 + }, + { + "epoch": 0.52, + "learning_rate": 9.813823914556026e-06, + "loss": 0.8841, + "step": 2718 + }, + { + "epoch": 0.52, + "learning_rate": 9.807618798410507e-06, + "loss": 0.8278, + "step": 2719 + }, + { + "epoch": 0.52, + "learning_rate": 9.80141375636497e-06, + "loss": 0.838, + "step": 2720 + }, + { + "epoch": 0.52, + "learning_rate": 9.795208790809425e-06, + "loss": 0.7718, + "step": 2721 + }, + { + "epoch": 0.52, + "learning_rate": 9.789003904133851e-06, + "loss": 0.8433, + "step": 2722 + }, + { + "epoch": 0.52, + "learning_rate": 9.782799098728205e-06, + "loss": 0.7736, + "step": 2723 + }, + { + "epoch": 0.52, + "learning_rate": 9.776594376982405e-06, + "loss": 0.8331, + "step": 2724 + }, + { + "epoch": 0.52, + "learning_rate": 9.77038974128635e-06, + "loss": 0.3346, + "step": 2725 + }, + { + "epoch": 0.52, + "learning_rate": 9.764185194029882e-06, + "loss": 0.7977, + "step": 2726 + }, + { + "epoch": 0.52, + "learning_rate": 9.75798073760283e-06, + "loss": 0.8308, + "step": 2727 + }, + { + "epoch": 0.52, + "learning_rate": 9.751776374394985e-06, + "loss": 0.8353, + "step": 2728 + }, + { + "epoch": 0.52, + "learning_rate": 9.74557210679609e-06, + "loss": 0.7636, + "step": 2729 + }, + { + "epoch": 0.52, + "learning_rate": 9.73936793719586e-06, + "loss": 0.8644, + "step": 2730 + }, + { + "epoch": 0.52, + "learning_rate": 9.733163867983978e-06, + "loss": 0.8251, + "step": 2731 + }, + { + "epoch": 0.52, + "learning_rate": 9.72695990155008e-06, + "loss": 0.8578, + "step": 2732 + }, + { + "epoch": 0.52, + "learning_rate": 9.720756040283757e-06, + "loss": 0.8559, + "step": 2733 + }, + { + "epoch": 0.52, + "learning_rate": 9.714552286574574e-06, + "loss": 0.837, + "step": 2734 + }, + { + "epoch": 0.52, + "learning_rate": 9.70834864281205e-06, + "loss": 0.7442, + "step": 2735 + }, + { + "epoch": 0.52, + "learning_rate": 9.702145111385647e-06, + "loss": 0.8665, + "step": 2736 + }, + { + "epoch": 0.52, + "learning_rate": 9.695941694684805e-06, + "loss": 0.7741, + "step": 2737 + }, + { + "epoch": 0.52, + "learning_rate": 9.689738395098908e-06, + "loss": 0.8159, + "step": 2738 + }, + { + "epoch": 0.52, + "learning_rate": 9.683535215017302e-06, + "loss": 0.7598, + "step": 2739 + }, + { + "epoch": 0.52, + "learning_rate": 9.677332156829276e-06, + "loss": 0.8639, + "step": 2740 + }, + { + "epoch": 0.53, + "learning_rate": 9.671129222924076e-06, + "loss": 0.3704, + "step": 2741 + }, + { + "epoch": 0.53, + "learning_rate": 9.664926415690915e-06, + "loss": 0.7551, + "step": 2742 + }, + { + "epoch": 0.53, + "learning_rate": 9.658723737518932e-06, + "loss": 0.7853, + "step": 2743 + }, + { + "epoch": 0.53, + "learning_rate": 9.652521190797235e-06, + "loss": 0.8456, + "step": 2744 + }, + { + "epoch": 0.53, + "learning_rate": 9.646318777914874e-06, + "loss": 0.8046, + "step": 2745 + }, + { + "epoch": 0.53, + "learning_rate": 9.64011650126085e-06, + "loss": 0.8567, + "step": 2746 + }, + { + "epoch": 0.53, + "learning_rate": 9.633914363224107e-06, + "loss": 0.7372, + "step": 2747 + }, + { + "epoch": 0.53, + "learning_rate": 9.627712366193545e-06, + "loss": 0.8314, + "step": 2748 + }, + { + "epoch": 0.53, + "learning_rate": 9.621510512558e-06, + "loss": 0.7938, + "step": 2749 + }, + { + "epoch": 0.53, + "learning_rate": 9.615308804706253e-06, + "loss": 0.8097, + "step": 2750 + }, + { + "epoch": 0.53, + "learning_rate": 9.609107245027038e-06, + "loss": 0.8083, + "step": 2751 + }, + { + "epoch": 0.53, + "learning_rate": 9.602905835909027e-06, + "loss": 0.7728, + "step": 2752 + }, + { + "epoch": 0.53, + "learning_rate": 9.596704579740827e-06, + "loss": 0.853, + "step": 2753 + }, + { + "epoch": 0.53, + "learning_rate": 9.590503478910996e-06, + "loss": 0.838, + "step": 2754 + }, + { + "epoch": 0.53, + "learning_rate": 9.584302535808027e-06, + "loss": 0.8106, + "step": 2755 + }, + { + "epoch": 0.53, + "learning_rate": 9.57810175282036e-06, + "loss": 0.7783, + "step": 2756 + }, + { + "epoch": 0.53, + "learning_rate": 9.571901132336357e-06, + "loss": 0.7948, + "step": 2757 + }, + { + "epoch": 0.53, + "learning_rate": 9.565700676744331e-06, + "loss": 0.873, + "step": 2758 + }, + { + "epoch": 0.53, + "learning_rate": 9.559500388432537e-06, + "loss": 0.7624, + "step": 2759 + }, + { + "epoch": 0.53, + "learning_rate": 9.553300269789144e-06, + "loss": 0.7646, + "step": 2760 + }, + { + "epoch": 0.53, + "learning_rate": 9.54710032320227e-06, + "loss": 0.7795, + "step": 2761 + }, + { + "epoch": 0.53, + "learning_rate": 9.540900551059973e-06, + "loss": 0.7365, + "step": 2762 + }, + { + "epoch": 0.53, + "learning_rate": 9.534700955750231e-06, + "loss": 0.796, + "step": 2763 + }, + { + "epoch": 0.53, + "learning_rate": 9.528501539660955e-06, + "loss": 0.7481, + "step": 2764 + }, + { + "epoch": 0.53, + "learning_rate": 9.522302305179995e-06, + "loss": 0.8124, + "step": 2765 + }, + { + "epoch": 0.53, + "learning_rate": 9.516103254695128e-06, + "loss": 0.782, + "step": 2766 + }, + { + "epoch": 0.53, + "learning_rate": 9.509904390594052e-06, + "loss": 0.3806, + "step": 2767 + }, + { + "epoch": 0.53, + "learning_rate": 9.503705715264408e-06, + "loss": 0.7817, + "step": 2768 + }, + { + "epoch": 0.53, + "learning_rate": 9.497507231093749e-06, + "loss": 0.8613, + "step": 2769 + }, + { + "epoch": 0.53, + "learning_rate": 9.491308940469569e-06, + "loss": 0.8391, + "step": 2770 + }, + { + "epoch": 0.53, + "learning_rate": 9.485110845779273e-06, + "loss": 0.8458, + "step": 2771 + }, + { + "epoch": 0.53, + "learning_rate": 9.4789129494102e-06, + "loss": 0.8602, + "step": 2772 + }, + { + "epoch": 0.53, + "learning_rate": 9.472715253749617e-06, + "loss": 0.8646, + "step": 2773 + }, + { + "epoch": 0.53, + "learning_rate": 9.466517761184696e-06, + "loss": 0.8356, + "step": 2774 + }, + { + "epoch": 0.53, + "learning_rate": 9.460320474102546e-06, + "loss": 0.7916, + "step": 2775 + }, + { + "epoch": 0.53, + "learning_rate": 9.454123394890193e-06, + "loss": 0.769, + "step": 2776 + }, + { + "epoch": 0.53, + "learning_rate": 9.447926525934586e-06, + "loss": 0.3787, + "step": 2777 + }, + { + "epoch": 0.53, + "learning_rate": 9.441729869622583e-06, + "loss": 0.8041, + "step": 2778 + }, + { + "epoch": 0.53, + "learning_rate": 9.43553342834097e-06, + "loss": 0.788, + "step": 2779 + }, + { + "epoch": 0.53, + "learning_rate": 9.42933720447645e-06, + "loss": 0.775, + "step": 2780 + }, + { + "epoch": 0.53, + "learning_rate": 9.42314120041563e-06, + "loss": 0.8078, + "step": 2781 + }, + { + "epoch": 0.53, + "learning_rate": 9.416945418545049e-06, + "loss": 0.8274, + "step": 2782 + }, + { + "epoch": 0.53, + "learning_rate": 9.41074986125115e-06, + "loss": 0.7744, + "step": 2783 + }, + { + "epoch": 0.53, + "learning_rate": 9.404554530920294e-06, + "loss": 0.7724, + "step": 2784 + }, + { + "epoch": 0.53, + "learning_rate": 9.398359429938753e-06, + "loss": 0.8053, + "step": 2785 + }, + { + "epoch": 0.53, + "learning_rate": 9.392164560692705e-06, + "loss": 0.8792, + "step": 2786 + }, + { + "epoch": 0.53, + "learning_rate": 9.385969925568253e-06, + "loss": 0.3499, + "step": 2787 + }, + { + "epoch": 0.53, + "learning_rate": 9.379775526951393e-06, + "loss": 0.872, + "step": 2788 + }, + { + "epoch": 0.53, + "learning_rate": 9.37358136722804e-06, + "loss": 0.7309, + "step": 2789 + }, + { + "epoch": 0.53, + "learning_rate": 9.36738744878402e-06, + "loss": 0.8507, + "step": 2790 + }, + { + "epoch": 0.53, + "learning_rate": 9.361193774005057e-06, + "loss": 0.7959, + "step": 2791 + }, + { + "epoch": 0.53, + "learning_rate": 9.355000345276783e-06, + "loss": 0.7515, + "step": 2792 + }, + { + "epoch": 0.54, + "learning_rate": 9.348807164984742e-06, + "loss": 0.8259, + "step": 2793 + }, + { + "epoch": 0.54, + "learning_rate": 9.342614235514378e-06, + "loss": 0.8491, + "step": 2794 + }, + { + "epoch": 0.54, + "learning_rate": 9.336421559251032e-06, + "loss": 0.8114, + "step": 2795 + }, + { + "epoch": 0.54, + "learning_rate": 9.330229138579959e-06, + "loss": 0.8217, + "step": 2796 + }, + { + "epoch": 0.54, + "learning_rate": 9.324036975886309e-06, + "loss": 0.8396, + "step": 2797 + }, + { + "epoch": 0.54, + "learning_rate": 9.31784507355513e-06, + "loss": 0.8143, + "step": 2798 + }, + { + "epoch": 0.54, + "learning_rate": 9.31165343397138e-06, + "loss": 0.8296, + "step": 2799 + }, + { + "epoch": 0.54, + "learning_rate": 9.305462059519903e-06, + "loss": 0.7893, + "step": 2800 + }, + { + "epoch": 0.54, + "learning_rate": 9.299270952585454e-06, + "loss": 0.3339, + "step": 2801 + }, + { + "epoch": 0.54, + "learning_rate": 9.293080115552673e-06, + "loss": 0.8153, + "step": 2802 + }, + { + "epoch": 0.54, + "learning_rate": 9.2868895508061e-06, + "loss": 0.8088, + "step": 2803 + }, + { + "epoch": 0.54, + "learning_rate": 9.280699260730178e-06, + "loss": 0.7313, + "step": 2804 + }, + { + "epoch": 0.54, + "learning_rate": 9.274509247709231e-06, + "loss": 0.8066, + "step": 2805 + }, + { + "epoch": 0.54, + "learning_rate": 9.268319514127482e-06, + "loss": 0.8682, + "step": 2806 + }, + { + "epoch": 0.54, + "learning_rate": 9.262130062369053e-06, + "loss": 0.3638, + "step": 2807 + }, + { + "epoch": 0.54, + "learning_rate": 9.25594089481795e-06, + "loss": 0.877, + "step": 2808 + }, + { + "epoch": 0.54, + "learning_rate": 9.249752013858067e-06, + "loss": 0.7445, + "step": 2809 + }, + { + "epoch": 0.54, + "learning_rate": 9.243563421873195e-06, + "loss": 0.7963, + "step": 2810 + }, + { + "epoch": 0.54, + "learning_rate": 9.237375121247012e-06, + "loss": 0.8666, + "step": 2811 + }, + { + "epoch": 0.54, + "learning_rate": 9.231187114363077e-06, + "loss": 0.784, + "step": 2812 + }, + { + "epoch": 0.54, + "learning_rate": 9.224999403604846e-06, + "loss": 0.7927, + "step": 2813 + }, + { + "epoch": 0.54, + "learning_rate": 9.218811991355651e-06, + "loss": 0.8467, + "step": 2814 + }, + { + "epoch": 0.54, + "learning_rate": 9.212624879998724e-06, + "loss": 0.3573, + "step": 2815 + }, + { + "epoch": 0.54, + "learning_rate": 9.206438071917159e-06, + "loss": 0.7581, + "step": 2816 + }, + { + "epoch": 0.54, + "learning_rate": 9.20025156949395e-06, + "loss": 0.7966, + "step": 2817 + }, + { + "epoch": 0.54, + "learning_rate": 9.194065375111973e-06, + "loss": 0.8369, + "step": 2818 + }, + { + "epoch": 0.54, + "learning_rate": 9.187879491153975e-06, + "loss": 0.8044, + "step": 2819 + }, + { + "epoch": 0.54, + "learning_rate": 9.18169392000259e-06, + "loss": 0.8124, + "step": 2820 + }, + { + "epoch": 0.54, + "learning_rate": 9.175508664040335e-06, + "loss": 0.8463, + "step": 2821 + }, + { + "epoch": 0.54, + "learning_rate": 9.169323725649599e-06, + "loss": 0.9189, + "step": 2822 + }, + { + "epoch": 0.54, + "learning_rate": 9.163139107212649e-06, + "loss": 0.7819, + "step": 2823 + }, + { + "epoch": 0.54, + "learning_rate": 9.156954811111633e-06, + "loss": 0.8897, + "step": 2824 + }, + { + "epoch": 0.54, + "learning_rate": 9.150770839728576e-06, + "loss": 0.8648, + "step": 2825 + }, + { + "epoch": 0.54, + "learning_rate": 9.144587195445366e-06, + "loss": 0.8613, + "step": 2826 + }, + { + "epoch": 0.54, + "learning_rate": 9.13840388064378e-06, + "loss": 0.8597, + "step": 2827 + }, + { + "epoch": 0.54, + "learning_rate": 9.132220897705462e-06, + "loss": 0.7855, + "step": 2828 + }, + { + "epoch": 0.54, + "learning_rate": 9.12603824901193e-06, + "loss": 0.7748, + "step": 2829 + }, + { + "epoch": 0.54, + "learning_rate": 9.119855936944565e-06, + "loss": 0.7543, + "step": 2830 + }, + { + "epoch": 0.54, + "learning_rate": 9.113673963884625e-06, + "loss": 0.8386, + "step": 2831 + }, + { + "epoch": 0.54, + "learning_rate": 9.107492332213246e-06, + "loss": 0.783, + "step": 2832 + }, + { + "epoch": 0.54, + "learning_rate": 9.101311044311413e-06, + "loss": 0.8269, + "step": 2833 + }, + { + "epoch": 0.54, + "learning_rate": 9.095130102559992e-06, + "loss": 0.8345, + "step": 2834 + }, + { + "epoch": 0.54, + "learning_rate": 9.088949509339718e-06, + "loss": 0.8077, + "step": 2835 + }, + { + "epoch": 0.54, + "learning_rate": 9.08276926703118e-06, + "loss": 0.8191, + "step": 2836 + }, + { + "epoch": 0.54, + "learning_rate": 9.076589378014838e-06, + "loss": 0.3716, + "step": 2837 + }, + { + "epoch": 0.54, + "learning_rate": 9.070409844671021e-06, + "loss": 0.861, + "step": 2838 + }, + { + "epoch": 0.54, + "learning_rate": 9.064230669379919e-06, + "loss": 0.7827, + "step": 2839 + }, + { + "epoch": 0.54, + "learning_rate": 9.05805185452157e-06, + "loss": 0.7873, + "step": 2840 + }, + { + "epoch": 0.54, + "learning_rate": 9.051873402475894e-06, + "loss": 0.8045, + "step": 2841 + }, + { + "epoch": 0.54, + "learning_rate": 9.045695315622662e-06, + "loss": 0.7958, + "step": 2842 + }, + { + "epoch": 0.54, + "learning_rate": 9.039517596341497e-06, + "loss": 0.751, + "step": 2843 + }, + { + "epoch": 0.54, + "learning_rate": 9.033340247011894e-06, + "loss": 0.7982, + "step": 2844 + }, + { + "epoch": 0.55, + "learning_rate": 9.027163270013193e-06, + "loss": 0.7897, + "step": 2845 + }, + { + "epoch": 0.55, + "learning_rate": 9.020986667724606e-06, + "loss": 0.7661, + "step": 2846 + }, + { + "epoch": 0.55, + "learning_rate": 9.014810442525183e-06, + "loss": 0.7513, + "step": 2847 + }, + { + "epoch": 0.55, + "learning_rate": 9.008634596793838e-06, + "loss": 0.8355, + "step": 2848 + }, + { + "epoch": 0.55, + "learning_rate": 9.002459132909344e-06, + "loss": 0.8299, + "step": 2849 + }, + { + "epoch": 0.55, + "learning_rate": 8.996284053250315e-06, + "loss": 0.7845, + "step": 2850 + }, + { + "epoch": 0.55, + "learning_rate": 8.99010936019522e-06, + "loss": 0.8136, + "step": 2851 + }, + { + "epoch": 0.55, + "learning_rate": 8.983935056122392e-06, + "loss": 0.822, + "step": 2852 + }, + { + "epoch": 0.55, + "learning_rate": 8.977761143409997e-06, + "loss": 0.8406, + "step": 2853 + }, + { + "epoch": 0.55, + "learning_rate": 8.971587624436058e-06, + "loss": 0.8077, + "step": 2854 + }, + { + "epoch": 0.55, + "learning_rate": 8.965414501578446e-06, + "loss": 0.8113, + "step": 2855 + }, + { + "epoch": 0.55, + "learning_rate": 8.959241777214884e-06, + "loss": 0.8022, + "step": 2856 + }, + { + "epoch": 0.55, + "learning_rate": 8.953069453722926e-06, + "loss": 0.7466, + "step": 2857 + }, + { + "epoch": 0.55, + "learning_rate": 8.94689753347999e-06, + "loss": 0.8502, + "step": 2858 + }, + { + "epoch": 0.55, + "learning_rate": 8.940726018863329e-06, + "loss": 0.8026, + "step": 2859 + }, + { + "epoch": 0.55, + "learning_rate": 8.934554912250046e-06, + "loss": 0.7996, + "step": 2860 + }, + { + "epoch": 0.55, + "learning_rate": 8.928384216017078e-06, + "loss": 0.7528, + "step": 2861 + }, + { + "epoch": 0.55, + "learning_rate": 8.922213932541204e-06, + "loss": 0.843, + "step": 2862 + }, + { + "epoch": 0.55, + "learning_rate": 8.91604406419906e-06, + "loss": 0.8165, + "step": 2863 + }, + { + "epoch": 0.55, + "learning_rate": 8.909874613367103e-06, + "loss": 0.7807, + "step": 2864 + }, + { + "epoch": 0.55, + "learning_rate": 8.903705582421633e-06, + "loss": 0.8533, + "step": 2865 + }, + { + "epoch": 0.55, + "learning_rate": 8.897536973738803e-06, + "loss": 0.8438, + "step": 2866 + }, + { + "epoch": 0.55, + "learning_rate": 8.891368789694585e-06, + "loss": 0.3777, + "step": 2867 + }, + { + "epoch": 0.55, + "learning_rate": 8.885201032664793e-06, + "loss": 0.8081, + "step": 2868 + }, + { + "epoch": 0.55, + "learning_rate": 8.879033705025085e-06, + "loss": 0.7705, + "step": 2869 + }, + { + "epoch": 0.55, + "learning_rate": 8.872866809150943e-06, + "loss": 0.7948, + "step": 2870 + }, + { + "epoch": 0.55, + "learning_rate": 8.866700347417684e-06, + "loss": 0.8397, + "step": 2871 + }, + { + "epoch": 0.55, + "learning_rate": 8.860534322200468e-06, + "loss": 0.8328, + "step": 2872 + }, + { + "epoch": 0.55, + "learning_rate": 8.854368735874276e-06, + "loss": 0.849, + "step": 2873 + }, + { + "epoch": 0.55, + "learning_rate": 8.848203590813918e-06, + "loss": 0.8446, + "step": 2874 + }, + { + "epoch": 0.55, + "learning_rate": 8.842038889394046e-06, + "loss": 0.7223, + "step": 2875 + }, + { + "epoch": 0.55, + "learning_rate": 8.835874633989128e-06, + "loss": 0.8094, + "step": 2876 + }, + { + "epoch": 0.55, + "learning_rate": 8.829710826973476e-06, + "loss": 0.8443, + "step": 2877 + }, + { + "epoch": 0.55, + "learning_rate": 8.823547470721215e-06, + "loss": 0.7795, + "step": 2878 + }, + { + "epoch": 0.55, + "learning_rate": 8.817384567606294e-06, + "loss": 0.6924, + "step": 2879 + }, + { + "epoch": 0.55, + "learning_rate": 8.81122212000251e-06, + "loss": 0.8135, + "step": 2880 + }, + { + "epoch": 0.55, + "learning_rate": 8.805060130283458e-06, + "loss": 0.8368, + "step": 2881 + }, + { + "epoch": 0.55, + "learning_rate": 8.798898600822568e-06, + "loss": 0.7924, + "step": 2882 + }, + { + "epoch": 0.55, + "learning_rate": 8.792737533993098e-06, + "loss": 0.7584, + "step": 2883 + }, + { + "epoch": 0.55, + "learning_rate": 8.786576932168123e-06, + "loss": 0.7694, + "step": 2884 + }, + { + "epoch": 0.55, + "learning_rate": 8.78041679772053e-06, + "loss": 0.8595, + "step": 2885 + }, + { + "epoch": 0.55, + "learning_rate": 8.774257133023044e-06, + "loss": 0.7819, + "step": 2886 + }, + { + "epoch": 0.55, + "learning_rate": 8.768097940448194e-06, + "loss": 0.8129, + "step": 2887 + }, + { + "epoch": 0.55, + "learning_rate": 8.761939222368332e-06, + "loss": 0.8586, + "step": 2888 + }, + { + "epoch": 0.55, + "learning_rate": 8.755780981155631e-06, + "loss": 0.7829, + "step": 2889 + }, + { + "epoch": 0.55, + "learning_rate": 8.749623219182075e-06, + "loss": 0.8205, + "step": 2890 + }, + { + "epoch": 0.55, + "learning_rate": 8.74346593881947e-06, + "loss": 0.8807, + "step": 2891 + }, + { + "epoch": 0.55, + "learning_rate": 8.737309142439425e-06, + "loss": 0.7746, + "step": 2892 + }, + { + "epoch": 0.55, + "learning_rate": 8.731152832413373e-06, + "loss": 0.3411, + "step": 2893 + }, + { + "epoch": 0.55, + "learning_rate": 8.724997011112558e-06, + "loss": 0.8107, + "step": 2894 + }, + { + "epoch": 0.55, + "learning_rate": 8.718841680908032e-06, + "loss": 0.7909, + "step": 2895 + }, + { + "epoch": 0.55, + "learning_rate": 8.712686844170657e-06, + "loss": 0.8448, + "step": 2896 + }, + { + "epoch": 0.56, + "learning_rate": 8.706532503271113e-06, + "loss": 0.8454, + "step": 2897 + }, + { + "epoch": 0.56, + "learning_rate": 8.700378660579886e-06, + "loss": 0.8593, + "step": 2898 + }, + { + "epoch": 0.56, + "learning_rate": 8.694225318467258e-06, + "loss": 0.8271, + "step": 2899 + }, + { + "epoch": 0.56, + "learning_rate": 8.688072479303335e-06, + "loss": 0.8088, + "step": 2900 + }, + { + "epoch": 0.56, + "learning_rate": 8.681920145458024e-06, + "loss": 0.8112, + "step": 2901 + }, + { + "epoch": 0.56, + "learning_rate": 8.675768319301031e-06, + "loss": 0.8096, + "step": 2902 + }, + { + "epoch": 0.56, + "learning_rate": 8.669617003201875e-06, + "loss": 0.7539, + "step": 2903 + }, + { + "epoch": 0.56, + "learning_rate": 8.663466199529869e-06, + "loss": 0.7904, + "step": 2904 + }, + { + "epoch": 0.56, + "learning_rate": 8.657315910654144e-06, + "loss": 0.8455, + "step": 2905 + }, + { + "epoch": 0.56, + "learning_rate": 8.651166138943617e-06, + "loss": 0.8314, + "step": 2906 + }, + { + "epoch": 0.56, + "learning_rate": 8.645016886767009e-06, + "loss": 0.7906, + "step": 2907 + }, + { + "epoch": 0.56, + "learning_rate": 8.638868156492851e-06, + "loss": 0.8229, + "step": 2908 + }, + { + "epoch": 0.56, + "learning_rate": 8.63271995048946e-06, + "loss": 0.8162, + "step": 2909 + }, + { + "epoch": 0.56, + "learning_rate": 8.626572271124956e-06, + "loss": 0.8149, + "step": 2910 + }, + { + "epoch": 0.56, + "learning_rate": 8.620425120767264e-06, + "loss": 0.8068, + "step": 2911 + }, + { + "epoch": 0.56, + "learning_rate": 8.614278501784096e-06, + "loss": 0.8973, + "step": 2912 + }, + { + "epoch": 0.56, + "learning_rate": 8.608132416542955e-06, + "loss": 0.7945, + "step": 2913 + }, + { + "epoch": 0.56, + "learning_rate": 8.601986867411152e-06, + "loss": 0.3646, + "step": 2914 + }, + { + "epoch": 0.56, + "learning_rate": 8.595841856755785e-06, + "loss": 0.3311, + "step": 2915 + }, + { + "epoch": 0.56, + "learning_rate": 8.589697386943736e-06, + "loss": 0.8229, + "step": 2916 + }, + { + "epoch": 0.56, + "learning_rate": 8.583553460341695e-06, + "loss": 0.802, + "step": 2917 + }, + { + "epoch": 0.56, + "learning_rate": 8.577410079316134e-06, + "loss": 0.7842, + "step": 2918 + }, + { + "epoch": 0.56, + "learning_rate": 8.571267246233308e-06, + "loss": 0.8539, + "step": 2919 + }, + { + "epoch": 0.56, + "learning_rate": 8.565124963459277e-06, + "loss": 0.7678, + "step": 2920 + }, + { + "epoch": 0.56, + "learning_rate": 8.558983233359873e-06, + "loss": 0.7919, + "step": 2921 + }, + { + "epoch": 0.56, + "learning_rate": 8.552842058300731e-06, + "loss": 0.7618, + "step": 2922 + }, + { + "epoch": 0.56, + "learning_rate": 8.546701440647258e-06, + "loss": 0.8553, + "step": 2923 + }, + { + "epoch": 0.56, + "learning_rate": 8.540561382764649e-06, + "loss": 0.8241, + "step": 2924 + }, + { + "epoch": 0.56, + "learning_rate": 8.534421887017895e-06, + "loss": 0.8162, + "step": 2925 + }, + { + "epoch": 0.56, + "learning_rate": 8.528282955771756e-06, + "loss": 0.7739, + "step": 2926 + }, + { + "epoch": 0.56, + "learning_rate": 8.522144591390778e-06, + "loss": 0.769, + "step": 2927 + }, + { + "epoch": 0.56, + "learning_rate": 8.5160067962393e-06, + "loss": 0.8175, + "step": 2928 + }, + { + "epoch": 0.56, + "learning_rate": 8.509869572681427e-06, + "loss": 0.8278, + "step": 2929 + }, + { + "epoch": 0.56, + "learning_rate": 8.503732923081048e-06, + "loss": 0.7595, + "step": 2930 + }, + { + "epoch": 0.56, + "learning_rate": 8.497596849801836e-06, + "loss": 0.7592, + "step": 2931 + }, + { + "epoch": 0.56, + "learning_rate": 8.49146135520724e-06, + "loss": 0.8184, + "step": 2932 + }, + { + "epoch": 0.56, + "learning_rate": 8.48532644166048e-06, + "loss": 0.7849, + "step": 2933 + }, + { + "epoch": 0.56, + "learning_rate": 8.479192111524559e-06, + "loss": 0.7971, + "step": 2934 + }, + { + "epoch": 0.56, + "learning_rate": 8.473058367162252e-06, + "loss": 0.7603, + "step": 2935 + }, + { + "epoch": 0.56, + "learning_rate": 8.466925210936117e-06, + "loss": 0.8037, + "step": 2936 + }, + { + "epoch": 0.56, + "learning_rate": 8.460792645208469e-06, + "loss": 0.7848, + "step": 2937 + }, + { + "epoch": 0.56, + "learning_rate": 8.454660672341405e-06, + "loss": 0.8087, + "step": 2938 + }, + { + "epoch": 0.56, + "learning_rate": 8.448529294696803e-06, + "loss": 0.8396, + "step": 2939 + }, + { + "epoch": 0.56, + "learning_rate": 8.442398514636292e-06, + "loss": 0.792, + "step": 2940 + }, + { + "epoch": 0.56, + "learning_rate": 8.436268334521283e-06, + "loss": 0.8313, + "step": 2941 + }, + { + "epoch": 0.56, + "learning_rate": 8.430138756712955e-06, + "loss": 0.8468, + "step": 2942 + }, + { + "epoch": 0.56, + "learning_rate": 8.424009783572259e-06, + "loss": 0.7801, + "step": 2943 + }, + { + "epoch": 0.56, + "learning_rate": 8.417881417459894e-06, + "loss": 0.8102, + "step": 2944 + }, + { + "epoch": 0.56, + "learning_rate": 8.411753660736353e-06, + "loss": 0.7885, + "step": 2945 + }, + { + "epoch": 0.56, + "learning_rate": 8.405626515761876e-06, + "loss": 0.8525, + "step": 2946 + }, + { + "epoch": 0.56, + "learning_rate": 8.399499984896467e-06, + "loss": 0.8451, + "step": 2947 + }, + { + "epoch": 0.56, + "learning_rate": 8.393374070499903e-06, + "loss": 0.3505, + "step": 2948 + }, + { + "epoch": 0.56, + "learning_rate": 8.387248774931717e-06, + "loss": 0.771, + "step": 2949 + }, + { + "epoch": 0.57, + "learning_rate": 8.381124100551209e-06, + "loss": 0.7999, + "step": 2950 + }, + { + "epoch": 0.57, + "learning_rate": 8.375000049717431e-06, + "loss": 0.7481, + "step": 2951 + }, + { + "epoch": 0.57, + "learning_rate": 8.3688766247892e-06, + "loss": 0.8277, + "step": 2952 + }, + { + "epoch": 0.57, + "learning_rate": 8.362753828125099e-06, + "loss": 0.8504, + "step": 2953 + }, + { + "epoch": 0.57, + "learning_rate": 8.356631662083453e-06, + "loss": 0.7816, + "step": 2954 + }, + { + "epoch": 0.57, + "learning_rate": 8.350510129022355e-06, + "loss": 0.7626, + "step": 2955 + }, + { + "epoch": 0.57, + "learning_rate": 8.344389231299659e-06, + "loss": 0.8261, + "step": 2956 + }, + { + "epoch": 0.57, + "learning_rate": 8.338268971272959e-06, + "loss": 0.8476, + "step": 2957 + }, + { + "epoch": 0.57, + "learning_rate": 8.332149351299614e-06, + "loss": 0.9058, + "step": 2958 + }, + { + "epoch": 0.57, + "learning_rate": 8.326030373736737e-06, + "loss": 0.7839, + "step": 2959 + }, + { + "epoch": 0.57, + "learning_rate": 8.319912040941191e-06, + "loss": 0.79, + "step": 2960 + }, + { + "epoch": 0.57, + "learning_rate": 8.313794355269586e-06, + "loss": 0.797, + "step": 2961 + }, + { + "epoch": 0.57, + "learning_rate": 8.30767731907829e-06, + "loss": 0.897, + "step": 2962 + }, + { + "epoch": 0.57, + "learning_rate": 8.301560934723421e-06, + "loss": 0.8271, + "step": 2963 + }, + { + "epoch": 0.57, + "learning_rate": 8.295445204560837e-06, + "loss": 0.3824, + "step": 2964 + }, + { + "epoch": 0.57, + "learning_rate": 8.289330130946153e-06, + "loss": 0.815, + "step": 2965 + }, + { + "epoch": 0.57, + "learning_rate": 8.283215716234728e-06, + "loss": 0.7939, + "step": 2966 + }, + { + "epoch": 0.57, + "learning_rate": 8.27710196278167e-06, + "loss": 0.836, + "step": 2967 + }, + { + "epoch": 0.57, + "learning_rate": 8.270988872941828e-06, + "loss": 0.4024, + "step": 2968 + }, + { + "epoch": 0.57, + "learning_rate": 8.264876449069791e-06, + "loss": 0.7979, + "step": 2969 + }, + { + "epoch": 0.57, + "learning_rate": 8.258764693519909e-06, + "loss": 0.7375, + "step": 2970 + }, + { + "epoch": 0.57, + "learning_rate": 8.252653608646256e-06, + "loss": 0.775, + "step": 2971 + }, + { + "epoch": 0.57, + "learning_rate": 8.246543196802653e-06, + "loss": 0.8544, + "step": 2972 + }, + { + "epoch": 0.57, + "learning_rate": 8.240433460342668e-06, + "loss": 0.842, + "step": 2973 + }, + { + "epoch": 0.57, + "learning_rate": 8.234324401619604e-06, + "loss": 0.7812, + "step": 2974 + }, + { + "epoch": 0.57, + "learning_rate": 8.228216022986498e-06, + "loss": 0.8456, + "step": 2975 + }, + { + "epoch": 0.57, + "learning_rate": 8.222108326796138e-06, + "loss": 0.387, + "step": 2976 + }, + { + "epoch": 0.57, + "learning_rate": 8.21600131540104e-06, + "loss": 0.8667, + "step": 2977 + }, + { + "epoch": 0.57, + "learning_rate": 8.209894991153451e-06, + "loss": 0.8257, + "step": 2978 + }, + { + "epoch": 0.57, + "learning_rate": 8.203789356405368e-06, + "loss": 0.789, + "step": 2979 + }, + { + "epoch": 0.57, + "learning_rate": 8.197684413508509e-06, + "loss": 0.3668, + "step": 2980 + }, + { + "epoch": 0.57, + "learning_rate": 8.19158016481434e-06, + "loss": 0.8583, + "step": 2981 + }, + { + "epoch": 0.57, + "learning_rate": 8.185476612674041e-06, + "loss": 0.8105, + "step": 2982 + }, + { + "epoch": 0.57, + "learning_rate": 8.179373759438534e-06, + "loss": 0.8484, + "step": 2983 + }, + { + "epoch": 0.57, + "learning_rate": 8.173271607458478e-06, + "loss": 0.8499, + "step": 2984 + }, + { + "epoch": 0.57, + "learning_rate": 8.16717015908425e-06, + "loss": 0.8196, + "step": 2985 + }, + { + "epoch": 0.57, + "learning_rate": 8.161069416665962e-06, + "loss": 0.8147, + "step": 2986 + }, + { + "epoch": 0.57, + "learning_rate": 8.154969382553453e-06, + "loss": 0.7884, + "step": 2987 + }, + { + "epoch": 0.57, + "learning_rate": 8.148870059096291e-06, + "loss": 0.8243, + "step": 2988 + }, + { + "epoch": 0.57, + "learning_rate": 8.142771448643765e-06, + "loss": 0.7949, + "step": 2989 + }, + { + "epoch": 0.57, + "learning_rate": 8.136673553544897e-06, + "loss": 0.8831, + "step": 2990 + }, + { + "epoch": 0.57, + "learning_rate": 8.13057637614843e-06, + "loss": 0.8253, + "step": 2991 + }, + { + "epoch": 0.57, + "learning_rate": 8.124479918802824e-06, + "loss": 0.8097, + "step": 2992 + }, + { + "epoch": 0.57, + "learning_rate": 8.118384183856273e-06, + "loss": 0.8162, + "step": 2993 + }, + { + "epoch": 0.57, + "learning_rate": 8.112289173656684e-06, + "loss": 0.787, + "step": 2994 + }, + { + "epoch": 0.57, + "learning_rate": 8.106194890551695e-06, + "loss": 0.7872, + "step": 2995 + }, + { + "epoch": 0.57, + "learning_rate": 8.10010133688865e-06, + "loss": 0.8245, + "step": 2996 + }, + { + "epoch": 0.57, + "learning_rate": 8.09400851501462e-06, + "loss": 0.7921, + "step": 2997 + }, + { + "epoch": 0.57, + "learning_rate": 8.087916427276398e-06, + "loss": 0.739, + "step": 2998 + }, + { + "epoch": 0.57, + "learning_rate": 8.081825076020487e-06, + "loss": 0.8066, + "step": 2999 + }, + { + "epoch": 0.57, + "learning_rate": 8.075734463593105e-06, + "loss": 0.7558, + "step": 3000 + }, + { + "epoch": 0.57, + "learning_rate": 8.069644592340196e-06, + "loss": 0.8682, + "step": 3001 + }, + { + "epoch": 0.58, + "learning_rate": 8.06355546460741e-06, + "loss": 0.8116, + "step": 3002 + }, + { + "epoch": 0.58, + "learning_rate": 8.057467082740106e-06, + "loss": 0.8574, + "step": 3003 + }, + { + "epoch": 0.58, + "learning_rate": 8.051379449083372e-06, + "loss": 0.8015, + "step": 3004 + }, + { + "epoch": 0.58, + "learning_rate": 8.045292565981995e-06, + "loss": 0.8125, + "step": 3005 + }, + { + "epoch": 0.58, + "learning_rate": 8.039206435780471e-06, + "loss": 0.8156, + "step": 3006 + }, + { + "epoch": 0.58, + "learning_rate": 8.033121060823015e-06, + "loss": 0.8853, + "step": 3007 + }, + { + "epoch": 0.58, + "learning_rate": 8.02703644345355e-06, + "loss": 0.7949, + "step": 3008 + }, + { + "epoch": 0.58, + "learning_rate": 8.020952586015698e-06, + "loss": 0.8147, + "step": 3009 + }, + { + "epoch": 0.58, + "learning_rate": 8.014869490852798e-06, + "loss": 0.8474, + "step": 3010 + }, + { + "epoch": 0.58, + "learning_rate": 8.00878716030789e-06, + "loss": 0.8823, + "step": 3011 + }, + { + "epoch": 0.58, + "learning_rate": 8.002705596723726e-06, + "loss": 0.7824, + "step": 3012 + }, + { + "epoch": 0.58, + "learning_rate": 7.996624802442754e-06, + "loss": 0.7952, + "step": 3013 + }, + { + "epoch": 0.58, + "learning_rate": 7.990544779807127e-06, + "loss": 0.8477, + "step": 3014 + }, + { + "epoch": 0.58, + "learning_rate": 7.984465531158712e-06, + "loss": 0.7849, + "step": 3015 + }, + { + "epoch": 0.58, + "learning_rate": 7.978387058839062e-06, + "loss": 0.8139, + "step": 3016 + }, + { + "epoch": 0.58, + "learning_rate": 7.972309365189437e-06, + "loss": 0.8317, + "step": 3017 + }, + { + "epoch": 0.58, + "learning_rate": 7.966232452550806e-06, + "loss": 0.3454, + "step": 3018 + }, + { + "epoch": 0.58, + "learning_rate": 7.960156323263828e-06, + "loss": 0.838, + "step": 3019 + }, + { + "epoch": 0.58, + "learning_rate": 7.954080979668853e-06, + "loss": 0.8214, + "step": 3020 + }, + { + "epoch": 0.58, + "learning_rate": 7.948006424105948e-06, + "loss": 0.8674, + "step": 3021 + }, + { + "epoch": 0.58, + "learning_rate": 7.941932658914863e-06, + "loss": 0.847, + "step": 3022 + }, + { + "epoch": 0.58, + "learning_rate": 7.93585968643504e-06, + "loss": 0.8581, + "step": 3023 + }, + { + "epoch": 0.58, + "learning_rate": 7.929787509005628e-06, + "loss": 0.803, + "step": 3024 + }, + { + "epoch": 0.58, + "learning_rate": 7.923716128965463e-06, + "loss": 0.7523, + "step": 3025 + }, + { + "epoch": 0.58, + "learning_rate": 7.917645548653076e-06, + "loss": 0.8156, + "step": 3026 + }, + { + "epoch": 0.58, + "learning_rate": 7.911575770406685e-06, + "loss": 0.804, + "step": 3027 + }, + { + "epoch": 0.58, + "learning_rate": 7.905506796564202e-06, + "loss": 0.8202, + "step": 3028 + }, + { + "epoch": 0.58, + "learning_rate": 7.899438629463236e-06, + "loss": 0.7882, + "step": 3029 + }, + { + "epoch": 0.58, + "learning_rate": 7.893371271441073e-06, + "loss": 0.7822, + "step": 3030 + }, + { + "epoch": 0.58, + "learning_rate": 7.887304724834693e-06, + "loss": 0.7934, + "step": 3031 + }, + { + "epoch": 0.58, + "learning_rate": 7.881238991980768e-06, + "loss": 0.7269, + "step": 3032 + }, + { + "epoch": 0.58, + "learning_rate": 7.875174075215654e-06, + "loss": 0.7806, + "step": 3033 + }, + { + "epoch": 0.58, + "learning_rate": 7.869109976875384e-06, + "loss": 0.8198, + "step": 3034 + }, + { + "epoch": 0.58, + "learning_rate": 7.863046699295687e-06, + "loss": 0.8315, + "step": 3035 + }, + { + "epoch": 0.58, + "learning_rate": 7.856984244811974e-06, + "loss": 0.8278, + "step": 3036 + }, + { + "epoch": 0.58, + "learning_rate": 7.85092261575933e-06, + "loss": 0.797, + "step": 3037 + }, + { + "epoch": 0.58, + "learning_rate": 7.844861814472535e-06, + "loss": 0.869, + "step": 3038 + }, + { + "epoch": 0.58, + "learning_rate": 7.838801843286044e-06, + "loss": 0.8073, + "step": 3039 + }, + { + "epoch": 0.58, + "learning_rate": 7.83274270453399e-06, + "loss": 0.7481, + "step": 3040 + }, + { + "epoch": 0.58, + "learning_rate": 7.826684400550182e-06, + "loss": 0.7812, + "step": 3041 + }, + { + "epoch": 0.58, + "learning_rate": 7.82062693366812e-06, + "loss": 0.7916, + "step": 3042 + }, + { + "epoch": 0.58, + "learning_rate": 7.81457030622098e-06, + "loss": 0.7638, + "step": 3043 + }, + { + "epoch": 0.58, + "learning_rate": 7.808514520541595e-06, + "loss": 0.3244, + "step": 3044 + }, + { + "epoch": 0.58, + "learning_rate": 7.802459578962496e-06, + "loss": 0.8612, + "step": 3045 + }, + { + "epoch": 0.58, + "learning_rate": 7.79640548381589e-06, + "loss": 0.8094, + "step": 3046 + }, + { + "epoch": 0.58, + "learning_rate": 7.79035223743363e-06, + "loss": 0.7754, + "step": 3047 + }, + { + "epoch": 0.58, + "learning_rate": 7.78429984214727e-06, + "loss": 0.7576, + "step": 3048 + }, + { + "epoch": 0.58, + "learning_rate": 7.77824830028803e-06, + "loss": 0.7485, + "step": 3049 + }, + { + "epoch": 0.58, + "learning_rate": 7.772197614186799e-06, + "loss": 0.8376, + "step": 3050 + }, + { + "epoch": 0.58, + "learning_rate": 7.766147786174132e-06, + "loss": 0.7974, + "step": 3051 + }, + { + "epoch": 0.58, + "learning_rate": 7.760098818580253e-06, + "loss": 0.8187, + "step": 3052 + }, + { + "epoch": 0.58, + "learning_rate": 7.754050713735072e-06, + "loss": 0.8842, + "step": 3053 + }, + { + "epoch": 0.59, + "learning_rate": 7.748003473968142e-06, + "loss": 0.8223, + "step": 3054 + }, + { + "epoch": 0.59, + "learning_rate": 7.741957101608696e-06, + "loss": 0.8164, + "step": 3055 + }, + { + "epoch": 0.59, + "learning_rate": 7.735911598985632e-06, + "loss": 0.8062, + "step": 3056 + }, + { + "epoch": 0.59, + "learning_rate": 7.729866968427523e-06, + "loss": 0.9117, + "step": 3057 + }, + { + "epoch": 0.59, + "learning_rate": 7.723823212262577e-06, + "loss": 0.8266, + "step": 3058 + }, + { + "epoch": 0.59, + "learning_rate": 7.717780332818696e-06, + "loss": 0.8607, + "step": 3059 + }, + { + "epoch": 0.59, + "learning_rate": 7.711738332423433e-06, + "loss": 0.7812, + "step": 3060 + }, + { + "epoch": 0.59, + "learning_rate": 7.705697213403991e-06, + "loss": 0.7825, + "step": 3061 + }, + { + "epoch": 0.59, + "learning_rate": 7.699656978087253e-06, + "loss": 0.8434, + "step": 3062 + }, + { + "epoch": 0.59, + "learning_rate": 7.693617628799749e-06, + "loss": 0.7975, + "step": 3063 + }, + { + "epoch": 0.59, + "learning_rate": 7.687579167867673e-06, + "loss": 0.7404, + "step": 3064 + }, + { + "epoch": 0.59, + "learning_rate": 7.681541597616872e-06, + "loss": 0.7724, + "step": 3065 + }, + { + "epoch": 0.59, + "learning_rate": 7.675504920372853e-06, + "loss": 0.8277, + "step": 3066 + }, + { + "epoch": 0.59, + "learning_rate": 7.669469138460785e-06, + "loss": 0.7553, + "step": 3067 + }, + { + "epoch": 0.59, + "learning_rate": 7.66343425420548e-06, + "loss": 0.7585, + "step": 3068 + }, + { + "epoch": 0.59, + "learning_rate": 7.657400269931412e-06, + "loss": 0.8345, + "step": 3069 + }, + { + "epoch": 0.59, + "learning_rate": 7.651367187962704e-06, + "loss": 0.7866, + "step": 3070 + }, + { + "epoch": 0.59, + "learning_rate": 7.645335010623145e-06, + "loss": 0.8518, + "step": 3071 + }, + { + "epoch": 0.59, + "learning_rate": 7.63930374023615e-06, + "loss": 0.7865, + "step": 3072 + }, + { + "epoch": 0.59, + "learning_rate": 7.63327337912481e-06, + "loss": 0.843, + "step": 3073 + }, + { + "epoch": 0.59, + "learning_rate": 7.627243929611854e-06, + "loss": 0.8153, + "step": 3074 + }, + { + "epoch": 0.59, + "learning_rate": 7.621215394019653e-06, + "loss": 0.8908, + "step": 3075 + }, + { + "epoch": 0.59, + "learning_rate": 7.615187774670243e-06, + "loss": 0.8334, + "step": 3076 + }, + { + "epoch": 0.59, + "learning_rate": 7.6091610738852965e-06, + "loss": 0.7893, + "step": 3077 + }, + { + "epoch": 0.59, + "learning_rate": 7.603135293986128e-06, + "loss": 0.81, + "step": 3078 + }, + { + "epoch": 0.59, + "learning_rate": 7.597110437293711e-06, + "loss": 0.8455, + "step": 3079 + }, + { + "epoch": 0.59, + "learning_rate": 7.591086506128649e-06, + "loss": 0.7821, + "step": 3080 + }, + { + "epoch": 0.59, + "learning_rate": 7.585063502811203e-06, + "loss": 0.7856, + "step": 3081 + }, + { + "epoch": 0.59, + "learning_rate": 7.5790414296612626e-06, + "loss": 0.7612, + "step": 3082 + }, + { + "epoch": 0.59, + "learning_rate": 7.5730202889983665e-06, + "loss": 0.8119, + "step": 3083 + }, + { + "epoch": 0.59, + "learning_rate": 7.5670000831416986e-06, + "loss": 0.7696, + "step": 3084 + }, + { + "epoch": 0.59, + "learning_rate": 7.5609808144100726e-06, + "loss": 0.7844, + "step": 3085 + }, + { + "epoch": 0.59, + "learning_rate": 7.554962485121944e-06, + "loss": 0.3615, + "step": 3086 + }, + { + "epoch": 0.59, + "learning_rate": 7.548945097595416e-06, + "loss": 0.804, + "step": 3087 + }, + { + "epoch": 0.59, + "learning_rate": 7.542928654148219e-06, + "loss": 0.379, + "step": 3088 + }, + { + "epoch": 0.59, + "learning_rate": 7.536913157097718e-06, + "loss": 0.8179, + "step": 3089 + }, + { + "epoch": 0.59, + "learning_rate": 7.530898608760924e-06, + "loss": 0.8521, + "step": 3090 + }, + { + "epoch": 0.59, + "learning_rate": 7.524885011454474e-06, + "loss": 0.7836, + "step": 3091 + }, + { + "epoch": 0.59, + "learning_rate": 7.51887236749464e-06, + "loss": 0.8184, + "step": 3092 + }, + { + "epoch": 0.59, + "learning_rate": 7.512860679197329e-06, + "loss": 0.8398, + "step": 3093 + }, + { + "epoch": 0.59, + "learning_rate": 7.506849948878079e-06, + "loss": 0.7677, + "step": 3094 + }, + { + "epoch": 0.59, + "learning_rate": 7.500840178852063e-06, + "loss": 0.7121, + "step": 3095 + }, + { + "epoch": 0.59, + "learning_rate": 7.494831371434074e-06, + "loss": 0.8004, + "step": 3096 + }, + { + "epoch": 0.59, + "learning_rate": 7.4888235289385405e-06, + "loss": 0.7716, + "step": 3097 + }, + { + "epoch": 0.59, + "learning_rate": 7.482816653679525e-06, + "loss": 0.8019, + "step": 3098 + }, + { + "epoch": 0.59, + "learning_rate": 7.476810747970707e-06, + "loss": 0.859, + "step": 3099 + }, + { + "epoch": 0.59, + "learning_rate": 7.470805814125396e-06, + "loss": 0.8116, + "step": 3100 + }, + { + "epoch": 0.59, + "learning_rate": 7.4648018544565315e-06, + "loss": 0.7363, + "step": 3101 + }, + { + "epoch": 0.59, + "learning_rate": 7.458798871276677e-06, + "loss": 0.7948, + "step": 3102 + }, + { + "epoch": 0.59, + "learning_rate": 7.4527968668980085e-06, + "loss": 0.7199, + "step": 3103 + }, + { + "epoch": 0.59, + "learning_rate": 7.446795843632343e-06, + "loss": 0.7827, + "step": 3104 + }, + { + "epoch": 0.59, + "learning_rate": 7.440795803791108e-06, + "loss": 0.8116, + "step": 3105 + }, + { + "epoch": 0.6, + "learning_rate": 7.43479674968535e-06, + "loss": 0.8342, + "step": 3106 + }, + { + "epoch": 0.6, + "learning_rate": 7.428798683625747e-06, + "loss": 0.7702, + "step": 3107 + }, + { + "epoch": 0.6, + "learning_rate": 7.422801607922585e-06, + "loss": 0.7422, + "step": 3108 + }, + { + "epoch": 0.6, + "learning_rate": 7.416805524885782e-06, + "loss": 0.7829, + "step": 3109 + }, + { + "epoch": 0.6, + "learning_rate": 7.410810436824855e-06, + "loss": 0.81, + "step": 3110 + }, + { + "epoch": 0.6, + "learning_rate": 7.4048163460489505e-06, + "loss": 0.8135, + "step": 3111 + }, + { + "epoch": 0.6, + "learning_rate": 7.398823254866836e-06, + "loss": 0.7976, + "step": 3112 + }, + { + "epoch": 0.6, + "learning_rate": 7.392831165586877e-06, + "loss": 0.7111, + "step": 3113 + }, + { + "epoch": 0.6, + "learning_rate": 7.3868400805170635e-06, + "loss": 0.7971, + "step": 3114 + }, + { + "epoch": 0.6, + "learning_rate": 7.3808500019650044e-06, + "loss": 0.8556, + "step": 3115 + }, + { + "epoch": 0.6, + "learning_rate": 7.374860932237911e-06, + "loss": 0.732, + "step": 3116 + }, + { + "epoch": 0.6, + "learning_rate": 7.368872873642603e-06, + "loss": 0.7376, + "step": 3117 + }, + { + "epoch": 0.6, + "learning_rate": 7.362885828485525e-06, + "loss": 0.8148, + "step": 3118 + }, + { + "epoch": 0.6, + "learning_rate": 7.356899799072723e-06, + "loss": 0.8481, + "step": 3119 + }, + { + "epoch": 0.6, + "learning_rate": 7.350914787709844e-06, + "loss": 0.8153, + "step": 3120 + }, + { + "epoch": 0.6, + "learning_rate": 7.3449307967021565e-06, + "loss": 0.8177, + "step": 3121 + }, + { + "epoch": 0.6, + "learning_rate": 7.338947828354534e-06, + "loss": 0.8374, + "step": 3122 + }, + { + "epoch": 0.6, + "learning_rate": 7.332965884971441e-06, + "loss": 0.7947, + "step": 3123 + }, + { + "epoch": 0.6, + "learning_rate": 7.3269849688569695e-06, + "loss": 0.8804, + "step": 3124 + }, + { + "epoch": 0.6, + "learning_rate": 7.321005082314798e-06, + "loss": 0.7207, + "step": 3125 + }, + { + "epoch": 0.6, + "learning_rate": 7.3150262276482206e-06, + "loss": 0.3421, + "step": 3126 + }, + { + "epoch": 0.6, + "learning_rate": 7.309048407160126e-06, + "loss": 0.7947, + "step": 3127 + }, + { + "epoch": 0.6, + "learning_rate": 7.303071623153004e-06, + "loss": 0.7181, + "step": 3128 + }, + { + "epoch": 0.6, + "learning_rate": 7.297095877928955e-06, + "loss": 0.7758, + "step": 3129 + }, + { + "epoch": 0.6, + "learning_rate": 7.2911211737896685e-06, + "loss": 0.7481, + "step": 3130 + }, + { + "epoch": 0.6, + "learning_rate": 7.285147513036435e-06, + "loss": 0.7864, + "step": 3131 + }, + { + "epoch": 0.6, + "learning_rate": 7.27917489797015e-06, + "loss": 0.8034, + "step": 3132 + }, + { + "epoch": 0.6, + "learning_rate": 7.273203330891303e-06, + "loss": 0.808, + "step": 3133 + }, + { + "epoch": 0.6, + "learning_rate": 7.26723281409997e-06, + "loss": 0.8437, + "step": 3134 + }, + { + "epoch": 0.6, + "learning_rate": 7.2612633498958375e-06, + "loss": 0.8042, + "step": 3135 + }, + { + "epoch": 0.6, + "learning_rate": 7.25529494057818e-06, + "loss": 0.8582, + "step": 3136 + }, + { + "epoch": 0.6, + "learning_rate": 7.24932758844586e-06, + "loss": 0.8476, + "step": 3137 + }, + { + "epoch": 0.6, + "learning_rate": 7.243361295797344e-06, + "loss": 0.813, + "step": 3138 + }, + { + "epoch": 0.6, + "learning_rate": 7.237396064930682e-06, + "loss": 0.8259, + "step": 3139 + }, + { + "epoch": 0.6, + "learning_rate": 7.231431898143523e-06, + "loss": 0.801, + "step": 3140 + }, + { + "epoch": 0.6, + "learning_rate": 7.225468797733094e-06, + "loss": 0.8222, + "step": 3141 + }, + { + "epoch": 0.6, + "learning_rate": 7.219506765996218e-06, + "loss": 0.7952, + "step": 3142 + }, + { + "epoch": 0.6, + "learning_rate": 7.213545805229316e-06, + "loss": 0.7969, + "step": 3143 + }, + { + "epoch": 0.6, + "learning_rate": 7.207585917728377e-06, + "loss": 0.8183, + "step": 3144 + }, + { + "epoch": 0.6, + "learning_rate": 7.2016271057889885e-06, + "loss": 0.7844, + "step": 3145 + }, + { + "epoch": 0.6, + "learning_rate": 7.195669371706327e-06, + "loss": 0.842, + "step": 3146 + }, + { + "epoch": 0.6, + "learning_rate": 7.1897127177751455e-06, + "loss": 0.7868, + "step": 3147 + }, + { + "epoch": 0.6, + "learning_rate": 7.183757146289783e-06, + "loss": 0.8088, + "step": 3148 + }, + { + "epoch": 0.6, + "learning_rate": 7.177802659544164e-06, + "loss": 0.8082, + "step": 3149 + }, + { + "epoch": 0.6, + "learning_rate": 7.171849259831797e-06, + "loss": 0.7327, + "step": 3150 + }, + { + "epoch": 0.6, + "learning_rate": 7.1658969494457605e-06, + "loss": 0.8043, + "step": 3151 + }, + { + "epoch": 0.6, + "learning_rate": 7.159945730678732e-06, + "loss": 0.7231, + "step": 3152 + }, + { + "epoch": 0.6, + "learning_rate": 7.15399560582295e-06, + "loss": 0.8153, + "step": 3153 + }, + { + "epoch": 0.6, + "learning_rate": 7.148046577170247e-06, + "loss": 0.8052, + "step": 3154 + }, + { + "epoch": 0.6, + "learning_rate": 7.142098647012019e-06, + "loss": 0.8338, + "step": 3155 + }, + { + "epoch": 0.6, + "learning_rate": 7.136151817639249e-06, + "loss": 0.7989, + "step": 3156 + }, + { + "epoch": 0.6, + "learning_rate": 7.130206091342498e-06, + "loss": 0.7945, + "step": 3157 + }, + { + "epoch": 0.61, + "learning_rate": 7.124261470411891e-06, + "loss": 0.8549, + "step": 3158 + }, + { + "epoch": 0.61, + "learning_rate": 7.118317957137131e-06, + "loss": 0.8276, + "step": 3159 + }, + { + "epoch": 0.61, + "learning_rate": 7.112375553807507e-06, + "loss": 0.9123, + "step": 3160 + }, + { + "epoch": 0.61, + "learning_rate": 7.106434262711862e-06, + "loss": 0.7966, + "step": 3161 + }, + { + "epoch": 0.61, + "learning_rate": 7.100494086138619e-06, + "loss": 0.7619, + "step": 3162 + }, + { + "epoch": 0.61, + "learning_rate": 7.094555026375776e-06, + "loss": 0.3467, + "step": 3163 + }, + { + "epoch": 0.61, + "learning_rate": 7.088617085710896e-06, + "loss": 0.844, + "step": 3164 + }, + { + "epoch": 0.61, + "learning_rate": 7.082680266431104e-06, + "loss": 0.8271, + "step": 3165 + }, + { + "epoch": 0.61, + "learning_rate": 7.076744570823111e-06, + "loss": 0.7832, + "step": 3166 + }, + { + "epoch": 0.61, + "learning_rate": 7.07081000117318e-06, + "loss": 0.8065, + "step": 3167 + }, + { + "epoch": 0.61, + "learning_rate": 7.06487655976714e-06, + "loss": 0.7967, + "step": 3168 + }, + { + "epoch": 0.61, + "learning_rate": 7.058944248890398e-06, + "loss": 0.8042, + "step": 3169 + }, + { + "epoch": 0.61, + "learning_rate": 7.053013070827912e-06, + "loss": 0.73, + "step": 3170 + }, + { + "epoch": 0.61, + "learning_rate": 7.047083027864219e-06, + "loss": 0.8277, + "step": 3171 + }, + { + "epoch": 0.61, + "learning_rate": 7.041154122283399e-06, + "loss": 0.8191, + "step": 3172 + }, + { + "epoch": 0.61, + "learning_rate": 7.035226356369107e-06, + "loss": 0.8015, + "step": 3173 + }, + { + "epoch": 0.61, + "learning_rate": 7.029299732404561e-06, + "loss": 0.8359, + "step": 3174 + }, + { + "epoch": 0.61, + "learning_rate": 7.02337425267253e-06, + "loss": 0.3436, + "step": 3175 + }, + { + "epoch": 0.61, + "learning_rate": 7.017449919455346e-06, + "loss": 0.8066, + "step": 3176 + }, + { + "epoch": 0.61, + "learning_rate": 7.0115267350349035e-06, + "loss": 0.7689, + "step": 3177 + }, + { + "epoch": 0.61, + "learning_rate": 7.005604701692652e-06, + "loss": 0.7839, + "step": 3178 + }, + { + "epoch": 0.61, + "learning_rate": 6.9996838217095906e-06, + "loss": 0.7911, + "step": 3179 + }, + { + "epoch": 0.61, + "learning_rate": 6.993764097366285e-06, + "loss": 0.8119, + "step": 3180 + }, + { + "epoch": 0.61, + "learning_rate": 6.987845530942855e-06, + "loss": 0.8737, + "step": 3181 + }, + { + "epoch": 0.61, + "learning_rate": 6.9819281247189615e-06, + "loss": 0.7387, + "step": 3182 + }, + { + "epoch": 0.61, + "learning_rate": 6.976011880973834e-06, + "loss": 0.781, + "step": 3183 + }, + { + "epoch": 0.61, + "learning_rate": 6.970096801986244e-06, + "loss": 0.7636, + "step": 3184 + }, + { + "epoch": 0.61, + "learning_rate": 6.964182890034523e-06, + "loss": 0.7616, + "step": 3185 + }, + { + "epoch": 0.61, + "learning_rate": 6.958270147396545e-06, + "loss": 0.7269, + "step": 3186 + }, + { + "epoch": 0.61, + "learning_rate": 6.952358576349733e-06, + "loss": 0.8354, + "step": 3187 + }, + { + "epoch": 0.61, + "learning_rate": 6.946448179171073e-06, + "loss": 0.7999, + "step": 3188 + }, + { + "epoch": 0.61, + "learning_rate": 6.9405389581370795e-06, + "loss": 0.7225, + "step": 3189 + }, + { + "epoch": 0.61, + "learning_rate": 6.934630915523823e-06, + "loss": 0.7931, + "step": 3190 + }, + { + "epoch": 0.61, + "learning_rate": 6.9287240536069255e-06, + "loss": 0.8106, + "step": 3191 + }, + { + "epoch": 0.61, + "learning_rate": 6.922818374661547e-06, + "loss": 0.8158, + "step": 3192 + }, + { + "epoch": 0.61, + "learning_rate": 6.916913880962388e-06, + "loss": 0.8468, + "step": 3193 + }, + { + "epoch": 0.61, + "learning_rate": 6.911010574783705e-06, + "loss": 0.7629, + "step": 3194 + }, + { + "epoch": 0.61, + "learning_rate": 6.905108458399289e-06, + "loss": 0.7507, + "step": 3195 + }, + { + "epoch": 0.61, + "learning_rate": 6.899207534082468e-06, + "loss": 0.8326, + "step": 3196 + }, + { + "epoch": 0.61, + "learning_rate": 6.893307804106122e-06, + "loss": 0.8071, + "step": 3197 + }, + { + "epoch": 0.61, + "learning_rate": 6.887409270742664e-06, + "loss": 0.8001, + "step": 3198 + }, + { + "epoch": 0.61, + "learning_rate": 6.881511936264052e-06, + "loss": 0.7127, + "step": 3199 + }, + { + "epoch": 0.61, + "learning_rate": 6.875615802941772e-06, + "loss": 0.8724, + "step": 3200 + }, + { + "epoch": 0.61, + "learning_rate": 6.869720873046853e-06, + "loss": 0.7846, + "step": 3201 + }, + { + "epoch": 0.61, + "learning_rate": 6.863827148849869e-06, + "loss": 0.8132, + "step": 3202 + }, + { + "epoch": 0.61, + "learning_rate": 6.857934632620913e-06, + "loss": 0.771, + "step": 3203 + }, + { + "epoch": 0.61, + "learning_rate": 6.852043326629623e-06, + "loss": 0.8087, + "step": 3204 + }, + { + "epoch": 0.61, + "learning_rate": 6.846153233145172e-06, + "loss": 0.7953, + "step": 3205 + }, + { + "epoch": 0.61, + "learning_rate": 6.840264354436261e-06, + "loss": 0.805, + "step": 3206 + }, + { + "epoch": 0.61, + "learning_rate": 6.834376692771122e-06, + "loss": 0.7717, + "step": 3207 + }, + { + "epoch": 0.61, + "learning_rate": 6.828490250417526e-06, + "loss": 0.7632, + "step": 3208 + }, + { + "epoch": 0.61, + "learning_rate": 6.82260502964277e-06, + "loss": 0.7512, + "step": 3209 + }, + { + "epoch": 0.61, + "learning_rate": 6.816721032713676e-06, + "loss": 0.8312, + "step": 3210 + }, + { + "epoch": 0.62, + "learning_rate": 6.810838261896602e-06, + "loss": 0.7854, + "step": 3211 + }, + { + "epoch": 0.62, + "learning_rate": 6.8049567194574294e-06, + "loss": 0.8128, + "step": 3212 + }, + { + "epoch": 0.62, + "learning_rate": 6.799076407661564e-06, + "loss": 0.8018, + "step": 3213 + }, + { + "epoch": 0.62, + "learning_rate": 6.7931973287739485e-06, + "loss": 0.7882, + "step": 3214 + }, + { + "epoch": 0.62, + "learning_rate": 6.787319485059036e-06, + "loss": 0.8106, + "step": 3215 + }, + { + "epoch": 0.62, + "learning_rate": 6.781442878780819e-06, + "loss": 0.8212, + "step": 3216 + }, + { + "epoch": 0.62, + "learning_rate": 6.775567512202799e-06, + "loss": 0.8161, + "step": 3217 + }, + { + "epoch": 0.62, + "learning_rate": 6.7696933875880065e-06, + "loss": 0.7846, + "step": 3218 + }, + { + "epoch": 0.62, + "learning_rate": 6.763820507199e-06, + "loss": 0.797, + "step": 3219 + }, + { + "epoch": 0.62, + "learning_rate": 6.757948873297846e-06, + "loss": 0.8329, + "step": 3220 + }, + { + "epoch": 0.62, + "learning_rate": 6.752078488146139e-06, + "loss": 0.8318, + "step": 3221 + }, + { + "epoch": 0.62, + "learning_rate": 6.746209354004991e-06, + "loss": 0.837, + "step": 3222 + }, + { + "epoch": 0.62, + "learning_rate": 6.740341473135037e-06, + "loss": 0.8126, + "step": 3223 + }, + { + "epoch": 0.62, + "learning_rate": 6.734474847796415e-06, + "loss": 0.7236, + "step": 3224 + }, + { + "epoch": 0.62, + "learning_rate": 6.728609480248795e-06, + "loss": 0.8403, + "step": 3225 + }, + { + "epoch": 0.62, + "learning_rate": 6.722745372751356e-06, + "loss": 0.7865, + "step": 3226 + }, + { + "epoch": 0.62, + "learning_rate": 6.716882527562787e-06, + "loss": 0.7944, + "step": 3227 + }, + { + "epoch": 0.62, + "learning_rate": 6.711020946941302e-06, + "loss": 0.8276, + "step": 3228 + }, + { + "epoch": 0.62, + "learning_rate": 6.705160633144616e-06, + "loss": 0.8166, + "step": 3229 + }, + { + "epoch": 0.62, + "learning_rate": 6.699301588429968e-06, + "loss": 0.8038, + "step": 3230 + }, + { + "epoch": 0.62, + "learning_rate": 6.693443815054097e-06, + "loss": 0.8372, + "step": 3231 + }, + { + "epoch": 0.62, + "learning_rate": 6.687587315273256e-06, + "loss": 0.7811, + "step": 3232 + }, + { + "epoch": 0.62, + "learning_rate": 6.681732091343216e-06, + "loss": 0.8093, + "step": 3233 + }, + { + "epoch": 0.62, + "learning_rate": 6.67587814551924e-06, + "loss": 0.7705, + "step": 3234 + }, + { + "epoch": 0.62, + "learning_rate": 6.6700254800561115e-06, + "loss": 0.8515, + "step": 3235 + }, + { + "epoch": 0.62, + "learning_rate": 6.664174097208119e-06, + "loss": 0.8538, + "step": 3236 + }, + { + "epoch": 0.62, + "learning_rate": 6.658323999229056e-06, + "loss": 0.8477, + "step": 3237 + }, + { + "epoch": 0.62, + "learning_rate": 6.652475188372214e-06, + "loss": 0.839, + "step": 3238 + }, + { + "epoch": 0.62, + "learning_rate": 6.646627666890402e-06, + "loss": 0.8377, + "step": 3239 + }, + { + "epoch": 0.62, + "learning_rate": 6.640781437035924e-06, + "loss": 0.8443, + "step": 3240 + }, + { + "epoch": 0.62, + "learning_rate": 6.6349365010605814e-06, + "loss": 0.8009, + "step": 3241 + }, + { + "epoch": 0.62, + "learning_rate": 6.629092861215691e-06, + "loss": 0.8427, + "step": 3242 + }, + { + "epoch": 0.62, + "learning_rate": 6.623250519752065e-06, + "loss": 0.7813, + "step": 3243 + }, + { + "epoch": 0.62, + "learning_rate": 6.6174094789200025e-06, + "loss": 0.7956, + "step": 3244 + }, + { + "epoch": 0.62, + "learning_rate": 6.611569740969324e-06, + "loss": 0.7724, + "step": 3245 + }, + { + "epoch": 0.62, + "learning_rate": 6.605731308149329e-06, + "loss": 0.8206, + "step": 3246 + }, + { + "epoch": 0.62, + "learning_rate": 6.599894182708831e-06, + "loss": 0.7959, + "step": 3247 + }, + { + "epoch": 0.62, + "learning_rate": 6.594058366896124e-06, + "loss": 0.7995, + "step": 3248 + }, + { + "epoch": 0.62, + "learning_rate": 6.5882238629590025e-06, + "loss": 0.8272, + "step": 3249 + }, + { + "epoch": 0.62, + "learning_rate": 6.5823906731447675e-06, + "loss": 0.7989, + "step": 3250 + }, + { + "epoch": 0.62, + "learning_rate": 6.576558799700195e-06, + "loss": 0.7884, + "step": 3251 + }, + { + "epoch": 0.62, + "learning_rate": 6.5707282448715656e-06, + "loss": 0.798, + "step": 3252 + }, + { + "epoch": 0.62, + "learning_rate": 6.564899010904653e-06, + "loss": 0.7817, + "step": 3253 + }, + { + "epoch": 0.62, + "learning_rate": 6.559071100044719e-06, + "loss": 0.3234, + "step": 3254 + }, + { + "epoch": 0.62, + "learning_rate": 6.553244514536509e-06, + "loss": 0.8117, + "step": 3255 + }, + { + "epoch": 0.62, + "learning_rate": 6.54741925662427e-06, + "loss": 0.8081, + "step": 3256 + }, + { + "epoch": 0.62, + "learning_rate": 6.541595328551733e-06, + "loss": 0.8112, + "step": 3257 + }, + { + "epoch": 0.62, + "learning_rate": 6.535772732562109e-06, + "loss": 0.8206, + "step": 3258 + }, + { + "epoch": 0.62, + "learning_rate": 6.5299514708981095e-06, + "loss": 0.7493, + "step": 3259 + }, + { + "epoch": 0.62, + "learning_rate": 6.52413154580192e-06, + "loss": 0.8187, + "step": 3260 + }, + { + "epoch": 0.62, + "learning_rate": 6.518312959515225e-06, + "loss": 0.7634, + "step": 3261 + }, + { + "epoch": 0.62, + "learning_rate": 6.512495714279176e-06, + "loss": 0.7673, + "step": 3262 + }, + { + "epoch": 0.63, + "learning_rate": 6.506679812334419e-06, + "loss": 0.7902, + "step": 3263 + }, + { + "epoch": 0.63, + "learning_rate": 6.500865255921085e-06, + "loss": 0.7893, + "step": 3264 + }, + { + "epoch": 0.63, + "learning_rate": 6.495052047278778e-06, + "loss": 0.7898, + "step": 3265 + }, + { + "epoch": 0.63, + "learning_rate": 6.489240188646584e-06, + "loss": 0.8306, + "step": 3266 + }, + { + "epoch": 0.63, + "learning_rate": 6.483429682263079e-06, + "loss": 0.8115, + "step": 3267 + }, + { + "epoch": 0.63, + "learning_rate": 6.477620530366309e-06, + "loss": 0.7399, + "step": 3268 + }, + { + "epoch": 0.63, + "learning_rate": 6.471812735193797e-06, + "loss": 0.36, + "step": 3269 + }, + { + "epoch": 0.63, + "learning_rate": 6.46600629898255e-06, + "loss": 0.7821, + "step": 3270 + }, + { + "epoch": 0.63, + "learning_rate": 6.460201223969049e-06, + "loss": 0.8177, + "step": 3271 + }, + { + "epoch": 0.63, + "learning_rate": 6.454397512389245e-06, + "loss": 0.8007, + "step": 3272 + }, + { + "epoch": 0.63, + "learning_rate": 6.448595166478577e-06, + "loss": 0.8123, + "step": 3273 + }, + { + "epoch": 0.63, + "learning_rate": 6.442794188471944e-06, + "loss": 0.8198, + "step": 3274 + }, + { + "epoch": 0.63, + "learning_rate": 6.4369945806037284e-06, + "loss": 0.7354, + "step": 3275 + }, + { + "epoch": 0.63, + "learning_rate": 6.431196345107777e-06, + "loss": 0.7917, + "step": 3276 + }, + { + "epoch": 0.63, + "learning_rate": 6.425399484217409e-06, + "loss": 0.7627, + "step": 3277 + }, + { + "epoch": 0.63, + "learning_rate": 6.419604000165427e-06, + "loss": 0.8154, + "step": 3278 + }, + { + "epoch": 0.63, + "learning_rate": 6.413809895184084e-06, + "loss": 0.7555, + "step": 3279 + }, + { + "epoch": 0.63, + "learning_rate": 6.408017171505111e-06, + "loss": 0.8609, + "step": 3280 + }, + { + "epoch": 0.63, + "learning_rate": 6.402225831359713e-06, + "loss": 0.7526, + "step": 3281 + }, + { + "epoch": 0.63, + "learning_rate": 6.3964358769785505e-06, + "loss": 0.7764, + "step": 3282 + }, + { + "epoch": 0.63, + "learning_rate": 6.3906473105917535e-06, + "loss": 0.3675, + "step": 3283 + }, + { + "epoch": 0.63, + "learning_rate": 6.384860134428927e-06, + "loss": 0.7582, + "step": 3284 + }, + { + "epoch": 0.63, + "learning_rate": 6.37907435071913e-06, + "loss": 0.7896, + "step": 3285 + }, + { + "epoch": 0.63, + "learning_rate": 6.373289961690884e-06, + "loss": 0.7875, + "step": 3286 + }, + { + "epoch": 0.63, + "learning_rate": 6.367506969572182e-06, + "loss": 0.7892, + "step": 3287 + }, + { + "epoch": 0.63, + "learning_rate": 6.361725376590476e-06, + "loss": 0.783, + "step": 3288 + }, + { + "epoch": 0.63, + "learning_rate": 6.355945184972671e-06, + "loss": 0.8347, + "step": 3289 + }, + { + "epoch": 0.63, + "learning_rate": 6.350166396945143e-06, + "loss": 0.7938, + "step": 3290 + }, + { + "epoch": 0.63, + "learning_rate": 6.344389014733723e-06, + "loss": 0.8124, + "step": 3291 + }, + { + "epoch": 0.63, + "learning_rate": 6.338613040563702e-06, + "loss": 0.7314, + "step": 3292 + }, + { + "epoch": 0.63, + "learning_rate": 6.332838476659825e-06, + "loss": 0.813, + "step": 3293 + }, + { + "epoch": 0.63, + "learning_rate": 6.327065325246295e-06, + "loss": 0.7323, + "step": 3294 + }, + { + "epoch": 0.63, + "learning_rate": 6.3212935885467775e-06, + "loss": 0.8392, + "step": 3295 + }, + { + "epoch": 0.63, + "learning_rate": 6.3155232687843805e-06, + "loss": 0.8079, + "step": 3296 + }, + { + "epoch": 0.63, + "learning_rate": 6.3097543681816765e-06, + "loss": 0.789, + "step": 3297 + }, + { + "epoch": 0.63, + "learning_rate": 6.30398688896069e-06, + "loss": 0.8008, + "step": 3298 + }, + { + "epoch": 0.63, + "learning_rate": 6.298220833342898e-06, + "loss": 0.812, + "step": 3299 + }, + { + "epoch": 0.63, + "learning_rate": 6.2924562035492195e-06, + "loss": 0.7933, + "step": 3300 + }, + { + "epoch": 0.63, + "learning_rate": 6.286693001800039e-06, + "loss": 0.7497, + "step": 3301 + }, + { + "epoch": 0.63, + "learning_rate": 6.280931230315186e-06, + "loss": 0.8017, + "step": 3302 + }, + { + "epoch": 0.63, + "learning_rate": 6.275170891313928e-06, + "loss": 0.7683, + "step": 3303 + }, + { + "epoch": 0.63, + "learning_rate": 6.269411987014999e-06, + "loss": 0.8348, + "step": 3304 + }, + { + "epoch": 0.63, + "learning_rate": 6.263654519636566e-06, + "loss": 0.7451, + "step": 3305 + }, + { + "epoch": 0.63, + "learning_rate": 6.257898491396255e-06, + "loss": 0.8167, + "step": 3306 + }, + { + "epoch": 0.63, + "learning_rate": 6.252143904511123e-06, + "loss": 0.8492, + "step": 3307 + }, + { + "epoch": 0.63, + "learning_rate": 6.24639076119768e-06, + "loss": 0.3351, + "step": 3308 + }, + { + "epoch": 0.63, + "learning_rate": 6.240639063671887e-06, + "loss": 0.8306, + "step": 3309 + }, + { + "epoch": 0.63, + "learning_rate": 6.234888814149133e-06, + "loss": 0.826, + "step": 3310 + }, + { + "epoch": 0.63, + "learning_rate": 6.22914001484426e-06, + "loss": 0.8229, + "step": 3311 + }, + { + "epoch": 0.63, + "learning_rate": 6.223392667971547e-06, + "loss": 0.8509, + "step": 3312 + }, + { + "epoch": 0.63, + "learning_rate": 6.217646775744719e-06, + "loss": 0.8244, + "step": 3313 + }, + { + "epoch": 0.63, + "learning_rate": 6.21190234037693e-06, + "loss": 0.8802, + "step": 3314 + }, + { + "epoch": 0.64, + "learning_rate": 6.206159364080784e-06, + "loss": 0.8302, + "step": 3315 + }, + { + "epoch": 0.64, + "learning_rate": 6.200417849068319e-06, + "loss": 0.7438, + "step": 3316 + }, + { + "epoch": 0.64, + "learning_rate": 6.194677797551003e-06, + "loss": 0.7659, + "step": 3317 + }, + { + "epoch": 0.64, + "learning_rate": 6.188939211739755e-06, + "loss": 0.868, + "step": 3318 + }, + { + "epoch": 0.64, + "learning_rate": 6.183202093844916e-06, + "loss": 0.861, + "step": 3319 + }, + { + "epoch": 0.64, + "learning_rate": 6.177466446076272e-06, + "loss": 0.7347, + "step": 3320 + }, + { + "epoch": 0.64, + "learning_rate": 6.171732270643034e-06, + "loss": 0.8027, + "step": 3321 + }, + { + "epoch": 0.64, + "learning_rate": 6.165999569753847e-06, + "loss": 0.794, + "step": 3322 + }, + { + "epoch": 0.64, + "learning_rate": 6.1602683456167975e-06, + "loss": 0.803, + "step": 3323 + }, + { + "epoch": 0.64, + "learning_rate": 6.154538600439393e-06, + "loss": 0.8582, + "step": 3324 + }, + { + "epoch": 0.64, + "learning_rate": 6.14881033642857e-06, + "loss": 0.8088, + "step": 3325 + }, + { + "epoch": 0.64, + "learning_rate": 6.143083555790709e-06, + "loss": 0.7546, + "step": 3326 + }, + { + "epoch": 0.64, + "learning_rate": 6.137358260731601e-06, + "loss": 0.8268, + "step": 3327 + }, + { + "epoch": 0.64, + "learning_rate": 6.131634453456474e-06, + "loss": 0.7577, + "step": 3328 + }, + { + "epoch": 0.64, + "learning_rate": 6.125912136169987e-06, + "loss": 0.8301, + "step": 3329 + }, + { + "epoch": 0.64, + "learning_rate": 6.120191311076219e-06, + "loss": 0.7339, + "step": 3330 + }, + { + "epoch": 0.64, + "learning_rate": 6.114471980378669e-06, + "loss": 0.7545, + "step": 3331 + }, + { + "epoch": 0.64, + "learning_rate": 6.108754146280275e-06, + "loss": 0.7497, + "step": 3332 + }, + { + "epoch": 0.64, + "learning_rate": 6.103037810983388e-06, + "loss": 0.3408, + "step": 3333 + }, + { + "epoch": 0.64, + "learning_rate": 6.097322976689777e-06, + "loss": 0.7622, + "step": 3334 + }, + { + "epoch": 0.64, + "learning_rate": 6.091609645600649e-06, + "loss": 0.8334, + "step": 3335 + }, + { + "epoch": 0.64, + "learning_rate": 6.085897819916618e-06, + "loss": 0.7952, + "step": 3336 + }, + { + "epoch": 0.64, + "learning_rate": 6.080187501837728e-06, + "loss": 0.8366, + "step": 3337 + }, + { + "epoch": 0.64, + "learning_rate": 6.074478693563433e-06, + "loss": 0.8128, + "step": 3338 + }, + { + "epoch": 0.64, + "learning_rate": 6.068771397292609e-06, + "loss": 0.8437, + "step": 3339 + }, + { + "epoch": 0.64, + "learning_rate": 6.063065615223556e-06, + "loss": 0.7793, + "step": 3340 + }, + { + "epoch": 0.64, + "learning_rate": 6.05736134955398e-06, + "loss": 0.7419, + "step": 3341 + }, + { + "epoch": 0.64, + "learning_rate": 6.0516586024810075e-06, + "loss": 0.3609, + "step": 3342 + }, + { + "epoch": 0.64, + "learning_rate": 6.045957376201186e-06, + "loss": 0.7969, + "step": 3343 + }, + { + "epoch": 0.64, + "learning_rate": 6.04025767291047e-06, + "loss": 0.8021, + "step": 3344 + }, + { + "epoch": 0.64, + "learning_rate": 6.034559494804224e-06, + "loss": 0.7669, + "step": 3345 + }, + { + "epoch": 0.64, + "learning_rate": 6.028862844077238e-06, + "loss": 0.7705, + "step": 3346 + }, + { + "epoch": 0.64, + "learning_rate": 6.023167722923704e-06, + "loss": 0.7519, + "step": 3347 + }, + { + "epoch": 0.64, + "learning_rate": 6.017474133537222e-06, + "loss": 0.7871, + "step": 3348 + }, + { + "epoch": 0.64, + "learning_rate": 6.011782078110814e-06, + "loss": 0.7555, + "step": 3349 + }, + { + "epoch": 0.64, + "learning_rate": 6.006091558836897e-06, + "loss": 0.3536, + "step": 3350 + }, + { + "epoch": 0.64, + "learning_rate": 6.0004025779073134e-06, + "loss": 0.8179, + "step": 3351 + }, + { + "epoch": 0.64, + "learning_rate": 5.994715137513294e-06, + "loss": 0.7426, + "step": 3352 + }, + { + "epoch": 0.64, + "learning_rate": 5.9890292398454876e-06, + "loss": 0.7812, + "step": 3353 + }, + { + "epoch": 0.64, + "learning_rate": 5.983344887093949e-06, + "loss": 0.8116, + "step": 3354 + }, + { + "epoch": 0.64, + "learning_rate": 5.977662081448134e-06, + "loss": 0.3543, + "step": 3355 + }, + { + "epoch": 0.64, + "learning_rate": 5.971980825096901e-06, + "loss": 0.8189, + "step": 3356 + }, + { + "epoch": 0.64, + "learning_rate": 5.966301120228519e-06, + "loss": 0.7858, + "step": 3357 + }, + { + "epoch": 0.64, + "learning_rate": 5.960622969030656e-06, + "loss": 0.7598, + "step": 3358 + }, + { + "epoch": 0.64, + "learning_rate": 5.954946373690373e-06, + "loss": 0.8372, + "step": 3359 + }, + { + "epoch": 0.64, + "learning_rate": 5.949271336394147e-06, + "loss": 0.7621, + "step": 3360 + }, + { + "epoch": 0.64, + "learning_rate": 5.943597859327847e-06, + "loss": 0.3461, + "step": 3361 + }, + { + "epoch": 0.64, + "learning_rate": 5.937925944676733e-06, + "loss": 0.7469, + "step": 3362 + }, + { + "epoch": 0.64, + "learning_rate": 5.93225559462548e-06, + "loss": 0.7464, + "step": 3363 + }, + { + "epoch": 0.64, + "learning_rate": 5.9265868113581525e-06, + "loss": 0.8057, + "step": 3364 + }, + { + "epoch": 0.64, + "learning_rate": 5.9209195970582015e-06, + "loss": 0.8037, + "step": 3365 + }, + { + "epoch": 0.64, + "learning_rate": 5.915253953908491e-06, + "loss": 0.8232, + "step": 3366 + }, + { + "epoch": 0.65, + "learning_rate": 5.909589884091267e-06, + "loss": 0.3407, + "step": 3367 + }, + { + "epoch": 0.65, + "learning_rate": 5.9039273897881824e-06, + "loss": 0.7238, + "step": 3368 + }, + { + "epoch": 0.65, + "learning_rate": 5.898266473180265e-06, + "loss": 0.8298, + "step": 3369 + }, + { + "epoch": 0.65, + "learning_rate": 5.89260713644795e-06, + "loss": 0.3324, + "step": 3370 + }, + { + "epoch": 0.65, + "learning_rate": 5.886949381771063e-06, + "loss": 0.7363, + "step": 3371 + }, + { + "epoch": 0.65, + "learning_rate": 5.881293211328809e-06, + "loss": 0.8098, + "step": 3372 + }, + { + "epoch": 0.65, + "learning_rate": 5.8756386272997935e-06, + "loss": 0.7593, + "step": 3373 + }, + { + "epoch": 0.65, + "learning_rate": 5.869985631862007e-06, + "loss": 0.8026, + "step": 3374 + }, + { + "epoch": 0.65, + "learning_rate": 5.8643342271928335e-06, + "loss": 0.8576, + "step": 3375 + }, + { + "epoch": 0.65, + "learning_rate": 5.858684415469031e-06, + "loss": 0.7382, + "step": 3376 + }, + { + "epoch": 0.65, + "learning_rate": 5.853036198866759e-06, + "loss": 0.7416, + "step": 3377 + }, + { + "epoch": 0.65, + "learning_rate": 5.8473895795615554e-06, + "loss": 0.7881, + "step": 3378 + }, + { + "epoch": 0.65, + "learning_rate": 5.84174455972834e-06, + "loss": 0.7447, + "step": 3379 + }, + { + "epoch": 0.65, + "learning_rate": 5.836101141541421e-06, + "loss": 0.7809, + "step": 3380 + }, + { + "epoch": 0.65, + "learning_rate": 5.830459327174491e-06, + "loss": 0.7997, + "step": 3381 + }, + { + "epoch": 0.65, + "learning_rate": 5.824819118800629e-06, + "loss": 0.3259, + "step": 3382 + }, + { + "epoch": 0.65, + "learning_rate": 5.819180518592271e-06, + "loss": 0.7856, + "step": 3383 + }, + { + "epoch": 0.65, + "learning_rate": 5.813543528721267e-06, + "loss": 0.7357, + "step": 3384 + }, + { + "epoch": 0.65, + "learning_rate": 5.807908151358832e-06, + "loss": 0.7915, + "step": 3385 + }, + { + "epoch": 0.65, + "learning_rate": 5.802274388675545e-06, + "loss": 0.7597, + "step": 3386 + }, + { + "epoch": 0.65, + "learning_rate": 5.79664224284139e-06, + "loss": 0.761, + "step": 3387 + }, + { + "epoch": 0.65, + "learning_rate": 5.791011716025714e-06, + "loss": 0.8061, + "step": 3388 + }, + { + "epoch": 0.65, + "learning_rate": 5.785382810397238e-06, + "loss": 0.8182, + "step": 3389 + }, + { + "epoch": 0.65, + "learning_rate": 5.779755528124065e-06, + "loss": 0.8786, + "step": 3390 + }, + { + "epoch": 0.65, + "learning_rate": 5.77412987137367e-06, + "loss": 0.8424, + "step": 3391 + }, + { + "epoch": 0.65, + "learning_rate": 5.7685058423129055e-06, + "loss": 0.7839, + "step": 3392 + }, + { + "epoch": 0.65, + "learning_rate": 5.762883443107983e-06, + "loss": 0.8111, + "step": 3393 + }, + { + "epoch": 0.65, + "learning_rate": 5.757262675924508e-06, + "loss": 0.8145, + "step": 3394 + }, + { + "epoch": 0.65, + "learning_rate": 5.751643542927442e-06, + "loss": 0.75, + "step": 3395 + }, + { + "epoch": 0.65, + "learning_rate": 5.746026046281121e-06, + "loss": 0.823, + "step": 3396 + }, + { + "epoch": 0.65, + "learning_rate": 5.740410188149253e-06, + "loss": 0.8187, + "step": 3397 + }, + { + "epoch": 0.65, + "learning_rate": 5.734795970694913e-06, + "loss": 0.7482, + "step": 3398 + }, + { + "epoch": 0.65, + "learning_rate": 5.729183396080541e-06, + "loss": 0.7958, + "step": 3399 + }, + { + "epoch": 0.65, + "learning_rate": 5.7235724664679505e-06, + "loss": 0.8144, + "step": 3400 + }, + { + "epoch": 0.65, + "learning_rate": 5.717963184018316e-06, + "loss": 0.7558, + "step": 3401 + }, + { + "epoch": 0.65, + "learning_rate": 5.712355550892177e-06, + "loss": 0.7672, + "step": 3402 + }, + { + "epoch": 0.65, + "learning_rate": 5.7067495692494525e-06, + "loss": 0.8662, + "step": 3403 + }, + { + "epoch": 0.65, + "learning_rate": 5.701145241249402e-06, + "loss": 0.795, + "step": 3404 + }, + { + "epoch": 0.65, + "learning_rate": 5.6955425690506565e-06, + "loss": 0.7664, + "step": 3405 + }, + { + "epoch": 0.65, + "learning_rate": 5.689941554811227e-06, + "loss": 0.767, + "step": 3406 + }, + { + "epoch": 0.65, + "learning_rate": 5.684342200688457e-06, + "loss": 0.7726, + "step": 3407 + }, + { + "epoch": 0.65, + "learning_rate": 5.678744508839067e-06, + "loss": 0.7251, + "step": 3408 + }, + { + "epoch": 0.65, + "learning_rate": 5.673148481419144e-06, + "loss": 0.8225, + "step": 3409 + }, + { + "epoch": 0.65, + "learning_rate": 5.667554120584116e-06, + "loss": 0.7932, + "step": 3410 + }, + { + "epoch": 0.65, + "learning_rate": 5.661961428488774e-06, + "loss": 0.784, + "step": 3411 + }, + { + "epoch": 0.65, + "learning_rate": 5.656370407287282e-06, + "loss": 0.8039, + "step": 3412 + }, + { + "epoch": 0.65, + "learning_rate": 5.650781059133146e-06, + "loss": 0.7314, + "step": 3413 + }, + { + "epoch": 0.65, + "learning_rate": 5.645193386179222e-06, + "loss": 0.776, + "step": 3414 + }, + { + "epoch": 0.65, + "learning_rate": 5.639607390577731e-06, + "loss": 0.7887, + "step": 3415 + }, + { + "epoch": 0.65, + "learning_rate": 5.634023074480255e-06, + "loss": 0.833, + "step": 3416 + }, + { + "epoch": 0.65, + "learning_rate": 5.62844044003771e-06, + "loss": 0.84, + "step": 3417 + }, + { + "epoch": 0.65, + "learning_rate": 5.622859489400373e-06, + "loss": 0.8322, + "step": 3418 + }, + { + "epoch": 0.66, + "learning_rate": 5.617280224717882e-06, + "loss": 0.7509, + "step": 3419 + }, + { + "epoch": 0.66, + "learning_rate": 5.611702648139218e-06, + "loss": 0.8063, + "step": 3420 + }, + { + "epoch": 0.66, + "learning_rate": 5.606126761812697e-06, + "loss": 0.8024, + "step": 3421 + }, + { + "epoch": 0.66, + "learning_rate": 5.6005525678860115e-06, + "loss": 0.8246, + "step": 3422 + }, + { + "epoch": 0.66, + "learning_rate": 5.5949800685061885e-06, + "loss": 0.8208, + "step": 3423 + }, + { + "epoch": 0.66, + "learning_rate": 5.589409265819589e-06, + "loss": 0.7713, + "step": 3424 + }, + { + "epoch": 0.66, + "learning_rate": 5.5838401619719475e-06, + "loss": 0.7636, + "step": 3425 + }, + { + "epoch": 0.66, + "learning_rate": 5.5782727591083275e-06, + "loss": 0.7936, + "step": 3426 + }, + { + "epoch": 0.66, + "learning_rate": 5.572707059373137e-06, + "loss": 0.7856, + "step": 3427 + }, + { + "epoch": 0.66, + "learning_rate": 5.5671430649101335e-06, + "loss": 0.7731, + "step": 3428 + }, + { + "epoch": 0.66, + "learning_rate": 5.561580777862415e-06, + "loss": 0.8222, + "step": 3429 + }, + { + "epoch": 0.66, + "learning_rate": 5.556020200372423e-06, + "loss": 0.8733, + "step": 3430 + }, + { + "epoch": 0.66, + "learning_rate": 5.550461334581941e-06, + "loss": 0.8017, + "step": 3431 + }, + { + "epoch": 0.66, + "learning_rate": 5.544904182632088e-06, + "loss": 0.7824, + "step": 3432 + }, + { + "epoch": 0.66, + "learning_rate": 5.539348746663327e-06, + "loss": 0.807, + "step": 3433 + }, + { + "epoch": 0.66, + "learning_rate": 5.5337950288154696e-06, + "loss": 0.7761, + "step": 3434 + }, + { + "epoch": 0.66, + "learning_rate": 5.528243031227647e-06, + "loss": 0.7875, + "step": 3435 + }, + { + "epoch": 0.66, + "learning_rate": 5.522692756038337e-06, + "loss": 0.8029, + "step": 3436 + }, + { + "epoch": 0.66, + "learning_rate": 5.517144205385356e-06, + "loss": 0.7944, + "step": 3437 + }, + { + "epoch": 0.66, + "learning_rate": 5.5115973814058554e-06, + "loss": 0.8008, + "step": 3438 + }, + { + "epoch": 0.66, + "learning_rate": 5.5060522862363176e-06, + "loss": 0.8107, + "step": 3439 + }, + { + "epoch": 0.66, + "learning_rate": 5.500508922012558e-06, + "loss": 0.7653, + "step": 3440 + }, + { + "epoch": 0.66, + "learning_rate": 5.494967290869742e-06, + "loss": 0.7595, + "step": 3441 + }, + { + "epoch": 0.66, + "learning_rate": 5.489427394942342e-06, + "loss": 0.8556, + "step": 3442 + }, + { + "epoch": 0.66, + "learning_rate": 5.483889236364175e-06, + "loss": 0.7504, + "step": 3443 + }, + { + "epoch": 0.66, + "learning_rate": 5.478352817268399e-06, + "loss": 0.8418, + "step": 3444 + }, + { + "epoch": 0.66, + "learning_rate": 5.472818139787479e-06, + "loss": 0.7764, + "step": 3445 + }, + { + "epoch": 0.66, + "learning_rate": 5.467285206053223e-06, + "loss": 0.8169, + "step": 3446 + }, + { + "epoch": 0.66, + "learning_rate": 5.461754018196777e-06, + "loss": 0.3582, + "step": 3447 + }, + { + "epoch": 0.66, + "learning_rate": 5.4562245783485926e-06, + "loss": 0.8584, + "step": 3448 + }, + { + "epoch": 0.66, + "learning_rate": 5.450696888638456e-06, + "loss": 0.7817, + "step": 3449 + }, + { + "epoch": 0.66, + "learning_rate": 5.445170951195492e-06, + "loss": 0.7706, + "step": 3450 + }, + { + "epoch": 0.66, + "learning_rate": 5.439646768148142e-06, + "loss": 0.828, + "step": 3451 + }, + { + "epoch": 0.66, + "learning_rate": 5.434124341624154e-06, + "loss": 0.8545, + "step": 3452 + }, + { + "epoch": 0.66, + "learning_rate": 5.428603673750632e-06, + "loss": 0.8329, + "step": 3453 + }, + { + "epoch": 0.66, + "learning_rate": 5.423084766653985e-06, + "loss": 0.7669, + "step": 3454 + }, + { + "epoch": 0.66, + "learning_rate": 5.417567622459931e-06, + "loss": 0.345, + "step": 3455 + }, + { + "epoch": 0.66, + "learning_rate": 5.4120522432935375e-06, + "loss": 0.8068, + "step": 3456 + }, + { + "epoch": 0.66, + "learning_rate": 5.406538631279174e-06, + "loss": 0.81, + "step": 3457 + }, + { + "epoch": 0.66, + "learning_rate": 5.401026788540532e-06, + "loss": 0.787, + "step": 3458 + }, + { + "epoch": 0.66, + "learning_rate": 5.395516717200622e-06, + "loss": 0.8183, + "step": 3459 + }, + { + "epoch": 0.66, + "learning_rate": 5.390008419381775e-06, + "loss": 0.7772, + "step": 3460 + }, + { + "epoch": 0.66, + "learning_rate": 5.384501897205634e-06, + "loss": 0.8045, + "step": 3461 + }, + { + "epoch": 0.66, + "learning_rate": 5.378997152793163e-06, + "loss": 0.7465, + "step": 3462 + }, + { + "epoch": 0.66, + "learning_rate": 5.373494188264638e-06, + "loss": 0.7843, + "step": 3463 + }, + { + "epoch": 0.66, + "learning_rate": 5.36799300573965e-06, + "loss": 0.8097, + "step": 3464 + }, + { + "epoch": 0.66, + "learning_rate": 5.362493607337105e-06, + "loss": 0.3301, + "step": 3465 + }, + { + "epoch": 0.66, + "learning_rate": 5.35699599517522e-06, + "loss": 0.7888, + "step": 3466 + }, + { + "epoch": 0.66, + "learning_rate": 5.351500171371527e-06, + "loss": 0.804, + "step": 3467 + }, + { + "epoch": 0.66, + "learning_rate": 5.346006138042865e-06, + "loss": 0.7787, + "step": 3468 + }, + { + "epoch": 0.66, + "learning_rate": 5.340513897305386e-06, + "loss": 0.8107, + "step": 3469 + }, + { + "epoch": 0.66, + "learning_rate": 5.33502345127455e-06, + "loss": 0.8246, + "step": 3470 + }, + { + "epoch": 0.66, + "learning_rate": 5.329534802065125e-06, + "loss": 0.8378, + "step": 3471 + }, + { + "epoch": 0.67, + "learning_rate": 5.324047951791198e-06, + "loss": 0.7675, + "step": 3472 + }, + { + "epoch": 0.67, + "learning_rate": 5.318562902566145e-06, + "loss": 0.7679, + "step": 3473 + }, + { + "epoch": 0.67, + "learning_rate": 5.313079656502652e-06, + "loss": 0.8012, + "step": 3474 + }, + { + "epoch": 0.67, + "learning_rate": 5.307598215712732e-06, + "loss": 0.765, + "step": 3475 + }, + { + "epoch": 0.67, + "learning_rate": 5.3021185823076715e-06, + "loss": 0.7765, + "step": 3476 + }, + { + "epoch": 0.67, + "learning_rate": 5.296640758398078e-06, + "loss": 0.829, + "step": 3477 + }, + { + "epoch": 0.67, + "learning_rate": 5.291164746093864e-06, + "loss": 0.8068, + "step": 3478 + }, + { + "epoch": 0.67, + "learning_rate": 5.285690547504243e-06, + "loss": 0.7386, + "step": 3479 + }, + { + "epoch": 0.67, + "learning_rate": 5.280218164737714e-06, + "loss": 0.7848, + "step": 3480 + }, + { + "epoch": 0.67, + "learning_rate": 5.2747475999020995e-06, + "loss": 0.8249, + "step": 3481 + }, + { + "epoch": 0.67, + "learning_rate": 5.269278855104512e-06, + "loss": 0.7856, + "step": 3482 + }, + { + "epoch": 0.67, + "learning_rate": 5.263811932451352e-06, + "loss": 0.8759, + "step": 3483 + }, + { + "epoch": 0.67, + "learning_rate": 5.258346834048338e-06, + "loss": 0.7196, + "step": 3484 + }, + { + "epoch": 0.67, + "learning_rate": 5.252883562000479e-06, + "loss": 0.3334, + "step": 3485 + }, + { + "epoch": 0.67, + "learning_rate": 5.2474221184120645e-06, + "loss": 0.7915, + "step": 3486 + }, + { + "epoch": 0.67, + "learning_rate": 5.241962505386706e-06, + "loss": 0.8477, + "step": 3487 + }, + { + "epoch": 0.67, + "learning_rate": 5.236504725027294e-06, + "loss": 0.7821, + "step": 3488 + }, + { + "epoch": 0.67, + "learning_rate": 5.231048779436014e-06, + "loss": 0.7663, + "step": 3489 + }, + { + "epoch": 0.67, + "learning_rate": 5.225594670714349e-06, + "loss": 0.7341, + "step": 3490 + }, + { + "epoch": 0.67, + "learning_rate": 5.220142400963072e-06, + "loss": 0.811, + "step": 3491 + }, + { + "epoch": 0.67, + "learning_rate": 5.214691972282246e-06, + "loss": 0.7949, + "step": 3492 + }, + { + "epoch": 0.67, + "learning_rate": 5.2092433867712325e-06, + "loss": 0.3338, + "step": 3493 + }, + { + "epoch": 0.67, + "learning_rate": 5.203796646528671e-06, + "loss": 0.822, + "step": 3494 + }, + { + "epoch": 0.67, + "learning_rate": 5.1983517536525015e-06, + "loss": 0.7577, + "step": 3495 + }, + { + "epoch": 0.67, + "learning_rate": 5.192908710239948e-06, + "loss": 0.7548, + "step": 3496 + }, + { + "epoch": 0.67, + "learning_rate": 5.187467518387519e-06, + "loss": 0.8322, + "step": 3497 + }, + { + "epoch": 0.67, + "learning_rate": 5.182028180191014e-06, + "loss": 0.7832, + "step": 3498 + }, + { + "epoch": 0.67, + "learning_rate": 5.17659069774552e-06, + "loss": 0.8343, + "step": 3499 + }, + { + "epoch": 0.67, + "learning_rate": 5.171155073145402e-06, + "loss": 0.795, + "step": 3500 + }, + { + "epoch": 0.67, + "learning_rate": 5.1657213084843175e-06, + "loss": 0.7763, + "step": 3501 + }, + { + "epoch": 0.67, + "learning_rate": 5.160289405855199e-06, + "loss": 0.7569, + "step": 3502 + }, + { + "epoch": 0.67, + "learning_rate": 5.154859367350278e-06, + "loss": 0.8756, + "step": 3503 + }, + { + "epoch": 0.67, + "learning_rate": 5.149431195061046e-06, + "loss": 0.8103, + "step": 3504 + }, + { + "epoch": 0.67, + "learning_rate": 5.144004891078285e-06, + "loss": 0.7407, + "step": 3505 + }, + { + "epoch": 0.67, + "learning_rate": 5.138580457492073e-06, + "loss": 0.774, + "step": 3506 + }, + { + "epoch": 0.67, + "learning_rate": 5.133157896391741e-06, + "loss": 0.779, + "step": 3507 + }, + { + "epoch": 0.67, + "learning_rate": 5.12773720986591e-06, + "loss": 0.8109, + "step": 3508 + }, + { + "epoch": 0.67, + "learning_rate": 5.1223184000024885e-06, + "loss": 0.7645, + "step": 3509 + }, + { + "epoch": 0.67, + "learning_rate": 5.116901468888655e-06, + "loss": 0.8067, + "step": 3510 + }, + { + "epoch": 0.67, + "learning_rate": 5.111486418610851e-06, + "loss": 0.8048, + "step": 3511 + }, + { + "epoch": 0.67, + "learning_rate": 5.106073251254817e-06, + "loss": 0.3423, + "step": 3512 + }, + { + "epoch": 0.67, + "learning_rate": 5.100661968905558e-06, + "loss": 0.8469, + "step": 3513 + }, + { + "epoch": 0.67, + "learning_rate": 5.09525257364734e-06, + "loss": 0.7815, + "step": 3514 + }, + { + "epoch": 0.67, + "learning_rate": 5.089845067563726e-06, + "loss": 0.8387, + "step": 3515 + }, + { + "epoch": 0.67, + "learning_rate": 5.084439452737534e-06, + "loss": 0.779, + "step": 3516 + }, + { + "epoch": 0.67, + "learning_rate": 5.079035731250861e-06, + "loss": 0.7893, + "step": 3517 + }, + { + "epoch": 0.67, + "learning_rate": 5.073633905185071e-06, + "loss": 0.7853, + "step": 3518 + }, + { + "epoch": 0.67, + "learning_rate": 5.068233976620802e-06, + "loss": 0.807, + "step": 3519 + }, + { + "epoch": 0.67, + "learning_rate": 5.0628359476379565e-06, + "loss": 0.8292, + "step": 3520 + }, + { + "epoch": 0.67, + "learning_rate": 5.057439820315708e-06, + "loss": 0.8192, + "step": 3521 + }, + { + "epoch": 0.67, + "learning_rate": 5.0520455967325e-06, + "loss": 0.8505, + "step": 3522 + }, + { + "epoch": 0.67, + "learning_rate": 5.0466532789660364e-06, + "loss": 0.825, + "step": 3523 + }, + { + "epoch": 0.68, + "learning_rate": 5.041262869093293e-06, + "loss": 0.7945, + "step": 3524 + }, + { + "epoch": 0.68, + "learning_rate": 5.035874369190505e-06, + "loss": 0.7315, + "step": 3525 + }, + { + "epoch": 0.68, + "learning_rate": 5.0304877813331795e-06, + "loss": 0.7345, + "step": 3526 + }, + { + "epoch": 0.68, + "learning_rate": 5.025103107596081e-06, + "loss": 0.7699, + "step": 3527 + }, + { + "epoch": 0.68, + "learning_rate": 5.0197203500532385e-06, + "loss": 0.8013, + "step": 3528 + }, + { + "epoch": 0.68, + "learning_rate": 5.014339510777941e-06, + "loss": 0.8012, + "step": 3529 + }, + { + "epoch": 0.68, + "learning_rate": 5.008960591842744e-06, + "loss": 0.8063, + "step": 3530 + }, + { + "epoch": 0.68, + "learning_rate": 5.003583595319459e-06, + "loss": 0.8192, + "step": 3531 + }, + { + "epoch": 0.68, + "learning_rate": 4.998208523279158e-06, + "loss": 0.7283, + "step": 3532 + }, + { + "epoch": 0.68, + "learning_rate": 4.992835377792167e-06, + "loss": 0.7532, + "step": 3533 + }, + { + "epoch": 0.68, + "learning_rate": 4.987464160928087e-06, + "loss": 0.7416, + "step": 3534 + }, + { + "epoch": 0.68, + "learning_rate": 4.9820948747557515e-06, + "loss": 0.8419, + "step": 3535 + }, + { + "epoch": 0.68, + "learning_rate": 4.976727521343264e-06, + "loss": 0.8269, + "step": 3536 + }, + { + "epoch": 0.68, + "learning_rate": 4.971362102757994e-06, + "loss": 0.8274, + "step": 3537 + }, + { + "epoch": 0.68, + "learning_rate": 4.96599862106654e-06, + "loss": 0.8504, + "step": 3538 + }, + { + "epoch": 0.68, + "learning_rate": 4.960637078334772e-06, + "loss": 0.8311, + "step": 3539 + }, + { + "epoch": 0.68, + "learning_rate": 4.955277476627815e-06, + "loss": 0.7773, + "step": 3540 + }, + { + "epoch": 0.68, + "learning_rate": 4.94991981801004e-06, + "loss": 0.8016, + "step": 3541 + }, + { + "epoch": 0.68, + "learning_rate": 4.9445641045450634e-06, + "loss": 0.7206, + "step": 3542 + }, + { + "epoch": 0.68, + "learning_rate": 4.939210338295767e-06, + "loss": 0.819, + "step": 3543 + }, + { + "epoch": 0.68, + "learning_rate": 4.9338585213242765e-06, + "loss": 0.7793, + "step": 3544 + }, + { + "epoch": 0.68, + "learning_rate": 4.928508655691955e-06, + "loss": 0.8285, + "step": 3545 + }, + { + "epoch": 0.68, + "learning_rate": 4.923160743459434e-06, + "loss": 0.8106, + "step": 3546 + }, + { + "epoch": 0.68, + "learning_rate": 4.91781478668658e-06, + "loss": 0.7765, + "step": 3547 + }, + { + "epoch": 0.68, + "learning_rate": 4.91247078743251e-06, + "loss": 0.8205, + "step": 3548 + }, + { + "epoch": 0.68, + "learning_rate": 4.907128747755587e-06, + "loss": 0.8031, + "step": 3549 + }, + { + "epoch": 0.68, + "learning_rate": 4.9017886697134166e-06, + "loss": 0.7353, + "step": 3550 + }, + { + "epoch": 0.68, + "learning_rate": 4.896450555362852e-06, + "loss": 0.8187, + "step": 3551 + }, + { + "epoch": 0.68, + "learning_rate": 4.891114406759989e-06, + "loss": 0.7887, + "step": 3552 + }, + { + "epoch": 0.68, + "learning_rate": 4.885780225960165e-06, + "loss": 0.7859, + "step": 3553 + }, + { + "epoch": 0.68, + "learning_rate": 4.880448015017962e-06, + "loss": 0.7997, + "step": 3554 + }, + { + "epoch": 0.68, + "learning_rate": 4.875117775987202e-06, + "loss": 0.769, + "step": 3555 + }, + { + "epoch": 0.68, + "learning_rate": 4.869789510920947e-06, + "loss": 0.8181, + "step": 3556 + }, + { + "epoch": 0.68, + "learning_rate": 4.864463221871497e-06, + "loss": 0.7563, + "step": 3557 + }, + { + "epoch": 0.68, + "learning_rate": 4.8591389108903965e-06, + "loss": 0.8123, + "step": 3558 + }, + { + "epoch": 0.68, + "learning_rate": 4.853816580028422e-06, + "loss": 0.8041, + "step": 3559 + }, + { + "epoch": 0.68, + "learning_rate": 4.84849623133559e-06, + "loss": 0.8291, + "step": 3560 + }, + { + "epoch": 0.68, + "learning_rate": 4.843177866861149e-06, + "loss": 0.7772, + "step": 3561 + }, + { + "epoch": 0.68, + "learning_rate": 4.837861488653603e-06, + "loss": 0.7789, + "step": 3562 + }, + { + "epoch": 0.68, + "learning_rate": 4.832547098760658e-06, + "loss": 0.7392, + "step": 3563 + }, + { + "epoch": 0.68, + "learning_rate": 4.8272346992292765e-06, + "loss": 0.8056, + "step": 3564 + }, + { + "epoch": 0.68, + "learning_rate": 4.821924292105659e-06, + "loss": 0.8433, + "step": 3565 + }, + { + "epoch": 0.68, + "learning_rate": 4.816615879435217e-06, + "loss": 0.8042, + "step": 3566 + }, + { + "epoch": 0.68, + "learning_rate": 4.811309463262607e-06, + "loss": 0.7681, + "step": 3567 + }, + { + "epoch": 0.68, + "learning_rate": 4.806005045631727e-06, + "loss": 0.7557, + "step": 3568 + }, + { + "epoch": 0.68, + "learning_rate": 4.800702628585683e-06, + "loss": 0.8335, + "step": 3569 + }, + { + "epoch": 0.68, + "learning_rate": 4.795402214166818e-06, + "loss": 0.7441, + "step": 3570 + }, + { + "epoch": 0.68, + "learning_rate": 4.790103804416717e-06, + "loss": 0.7825, + "step": 3571 + }, + { + "epoch": 0.68, + "learning_rate": 4.784807401376182e-06, + "loss": 0.8279, + "step": 3572 + }, + { + "epoch": 0.68, + "learning_rate": 4.779513007085231e-06, + "loss": 0.8185, + "step": 3573 + }, + { + "epoch": 0.68, + "learning_rate": 4.774220623583132e-06, + "loss": 0.8054, + "step": 3574 + }, + { + "epoch": 0.68, + "learning_rate": 4.768930252908365e-06, + "loss": 0.784, + "step": 3575 + }, + { + "epoch": 0.69, + "learning_rate": 4.763641897098626e-06, + "loss": 0.8695, + "step": 3576 + }, + { + "epoch": 0.69, + "learning_rate": 4.758355558190856e-06, + "loss": 0.7412, + "step": 3577 + }, + { + "epoch": 0.69, + "learning_rate": 4.753071238221204e-06, + "loss": 0.8239, + "step": 3578 + }, + { + "epoch": 0.69, + "learning_rate": 4.747788939225047e-06, + "loss": 0.8711, + "step": 3579 + }, + { + "epoch": 0.69, + "learning_rate": 4.742508663236979e-06, + "loss": 0.7635, + "step": 3580 + }, + { + "epoch": 0.69, + "learning_rate": 4.737230412290822e-06, + "loss": 0.7944, + "step": 3581 + }, + { + "epoch": 0.69, + "learning_rate": 4.731954188419611e-06, + "loss": 0.7386, + "step": 3582 + }, + { + "epoch": 0.69, + "learning_rate": 4.726679993655604e-06, + "loss": 0.7684, + "step": 3583 + }, + { + "epoch": 0.69, + "learning_rate": 4.721407830030276e-06, + "loss": 0.7931, + "step": 3584 + }, + { + "epoch": 0.69, + "learning_rate": 4.716137699574323e-06, + "loss": 0.3502, + "step": 3585 + }, + { + "epoch": 0.69, + "learning_rate": 4.710869604317653e-06, + "loss": 0.8086, + "step": 3586 + }, + { + "epoch": 0.69, + "learning_rate": 4.705603546289392e-06, + "loss": 0.7566, + "step": 3587 + }, + { + "epoch": 0.69, + "learning_rate": 4.700339527517881e-06, + "loss": 0.7909, + "step": 3588 + }, + { + "epoch": 0.69, + "learning_rate": 4.695077550030678e-06, + "loss": 0.7558, + "step": 3589 + }, + { + "epoch": 0.69, + "learning_rate": 4.689817615854552e-06, + "loss": 0.3416, + "step": 3590 + }, + { + "epoch": 0.69, + "learning_rate": 4.684559727015486e-06, + "loss": 0.352, + "step": 3591 + }, + { + "epoch": 0.69, + "learning_rate": 4.67930388553867e-06, + "loss": 0.8138, + "step": 3592 + }, + { + "epoch": 0.69, + "learning_rate": 4.674050093448523e-06, + "loss": 0.7793, + "step": 3593 + }, + { + "epoch": 0.69, + "learning_rate": 4.668798352768651e-06, + "loss": 0.7949, + "step": 3594 + }, + { + "epoch": 0.69, + "learning_rate": 4.663548665521881e-06, + "loss": 0.7927, + "step": 3595 + }, + { + "epoch": 0.69, + "learning_rate": 4.658301033730258e-06, + "loss": 0.8135, + "step": 3596 + }, + { + "epoch": 0.69, + "learning_rate": 4.653055459415018e-06, + "loss": 0.3513, + "step": 3597 + }, + { + "epoch": 0.69, + "learning_rate": 4.647811944596611e-06, + "loss": 0.7839, + "step": 3598 + }, + { + "epoch": 0.69, + "learning_rate": 4.642570491294703e-06, + "loss": 0.8191, + "step": 3599 + }, + { + "epoch": 0.69, + "learning_rate": 4.637331101528161e-06, + "loss": 0.8176, + "step": 3600 + }, + { + "epoch": 0.69, + "learning_rate": 4.63209377731504e-06, + "loss": 0.8146, + "step": 3601 + }, + { + "epoch": 0.69, + "learning_rate": 4.626858520672627e-06, + "loss": 0.7342, + "step": 3602 + }, + { + "epoch": 0.69, + "learning_rate": 4.621625333617399e-06, + "loss": 0.7785, + "step": 3603 + }, + { + "epoch": 0.69, + "learning_rate": 4.616394218165027e-06, + "loss": 0.7369, + "step": 3604 + }, + { + "epoch": 0.69, + "learning_rate": 4.611165176330402e-06, + "loss": 0.7819, + "step": 3605 + }, + { + "epoch": 0.69, + "learning_rate": 4.605938210127607e-06, + "loss": 0.8426, + "step": 3606 + }, + { + "epoch": 0.69, + "learning_rate": 4.600713321569926e-06, + "loss": 0.7465, + "step": 3607 + }, + { + "epoch": 0.69, + "learning_rate": 4.595490512669841e-06, + "loss": 0.8006, + "step": 3608 + }, + { + "epoch": 0.69, + "learning_rate": 4.590269785439039e-06, + "loss": 0.7598, + "step": 3609 + }, + { + "epoch": 0.69, + "learning_rate": 4.585051141888397e-06, + "loss": 0.8391, + "step": 3610 + }, + { + "epoch": 0.69, + "learning_rate": 4.579834584027997e-06, + "loss": 0.3508, + "step": 3611 + }, + { + "epoch": 0.69, + "learning_rate": 4.574620113867113e-06, + "loss": 0.8049, + "step": 3612 + }, + { + "epoch": 0.69, + "learning_rate": 4.5694077334142176e-06, + "loss": 0.7533, + "step": 3613 + }, + { + "epoch": 0.69, + "learning_rate": 4.564197444676976e-06, + "loss": 0.7801, + "step": 3614 + }, + { + "epoch": 0.69, + "learning_rate": 4.558989249662248e-06, + "loss": 0.8072, + "step": 3615 + }, + { + "epoch": 0.69, + "learning_rate": 4.55378315037609e-06, + "loss": 0.7861, + "step": 3616 + }, + { + "epoch": 0.69, + "learning_rate": 4.548579148823748e-06, + "loss": 0.7947, + "step": 3617 + }, + { + "epoch": 0.69, + "learning_rate": 4.543377247009663e-06, + "loss": 0.8533, + "step": 3618 + }, + { + "epoch": 0.69, + "learning_rate": 4.538177446937462e-06, + "loss": 0.8118, + "step": 3619 + }, + { + "epoch": 0.69, + "learning_rate": 4.532979750609968e-06, + "loss": 0.7872, + "step": 3620 + }, + { + "epoch": 0.69, + "learning_rate": 4.5277841600291915e-06, + "loss": 0.7657, + "step": 3621 + }, + { + "epoch": 0.69, + "learning_rate": 4.522590677196331e-06, + "loss": 0.7814, + "step": 3622 + }, + { + "epoch": 0.69, + "learning_rate": 4.517399304111773e-06, + "loss": 0.8545, + "step": 3623 + }, + { + "epoch": 0.69, + "learning_rate": 4.512210042775099e-06, + "loss": 0.7861, + "step": 3624 + }, + { + "epoch": 0.69, + "learning_rate": 4.507022895185062e-06, + "loss": 0.7824, + "step": 3625 + }, + { + "epoch": 0.69, + "learning_rate": 4.501837863339611e-06, + "loss": 0.7986, + "step": 3626 + }, + { + "epoch": 0.69, + "learning_rate": 4.496654949235887e-06, + "loss": 0.7789, + "step": 3627 + }, + { + "epoch": 0.7, + "learning_rate": 4.491474154870197e-06, + "loss": 0.3644, + "step": 3628 + }, + { + "epoch": 0.7, + "learning_rate": 4.48629548223804e-06, + "loss": 0.8014, + "step": 3629 + }, + { + "epoch": 0.7, + "learning_rate": 4.481118933334109e-06, + "loss": 0.8049, + "step": 3630 + }, + { + "epoch": 0.7, + "learning_rate": 4.475944510152266e-06, + "loss": 0.777, + "step": 3631 + }, + { + "epoch": 0.7, + "learning_rate": 4.470772214685549e-06, + "loss": 0.7812, + "step": 3632 + }, + { + "epoch": 0.7, + "learning_rate": 4.465602048926194e-06, + "loss": 0.3525, + "step": 3633 + }, + { + "epoch": 0.7, + "learning_rate": 4.460434014865609e-06, + "loss": 0.8366, + "step": 3634 + }, + { + "epoch": 0.7, + "learning_rate": 4.455268114494366e-06, + "loss": 0.8428, + "step": 3635 + }, + { + "epoch": 0.7, + "learning_rate": 4.450104349802243e-06, + "loss": 0.3453, + "step": 3636 + }, + { + "epoch": 0.7, + "learning_rate": 4.444942722778175e-06, + "loss": 0.7684, + "step": 3637 + }, + { + "epoch": 0.7, + "learning_rate": 4.4397832354102796e-06, + "loss": 0.7535, + "step": 3638 + }, + { + "epoch": 0.7, + "learning_rate": 4.434625889685851e-06, + "loss": 0.8125, + "step": 3639 + }, + { + "epoch": 0.7, + "learning_rate": 4.4294706875913575e-06, + "loss": 0.7754, + "step": 3640 + }, + { + "epoch": 0.7, + "learning_rate": 4.424317631112441e-06, + "loss": 0.8184, + "step": 3641 + }, + { + "epoch": 0.7, + "learning_rate": 4.419166722233919e-06, + "loss": 0.7274, + "step": 3642 + }, + { + "epoch": 0.7, + "learning_rate": 4.414017962939783e-06, + "loss": 0.7931, + "step": 3643 + }, + { + "epoch": 0.7, + "learning_rate": 4.40887135521319e-06, + "loss": 0.7841, + "step": 3644 + }, + { + "epoch": 0.7, + "learning_rate": 4.403726901036475e-06, + "loss": 0.8177, + "step": 3645 + }, + { + "epoch": 0.7, + "learning_rate": 4.398584602391139e-06, + "loss": 0.8521, + "step": 3646 + }, + { + "epoch": 0.7, + "learning_rate": 4.393444461257858e-06, + "loss": 0.7749, + "step": 3647 + }, + { + "epoch": 0.7, + "learning_rate": 4.388306479616473e-06, + "loss": 0.865, + "step": 3648 + }, + { + "epoch": 0.7, + "learning_rate": 4.383170659445992e-06, + "loss": 0.7691, + "step": 3649 + }, + { + "epoch": 0.7, + "learning_rate": 4.378037002724596e-06, + "loss": 0.7972, + "step": 3650 + }, + { + "epoch": 0.7, + "learning_rate": 4.372905511429625e-06, + "loss": 0.7471, + "step": 3651 + }, + { + "epoch": 0.7, + "learning_rate": 4.3677761875375915e-06, + "loss": 0.7972, + "step": 3652 + }, + { + "epoch": 0.7, + "learning_rate": 4.36264903302417e-06, + "loss": 0.7843, + "step": 3653 + }, + { + "epoch": 0.7, + "learning_rate": 4.357524049864198e-06, + "loss": 0.7604, + "step": 3654 + }, + { + "epoch": 0.7, + "learning_rate": 4.352401240031689e-06, + "loss": 0.3417, + "step": 3655 + }, + { + "epoch": 0.7, + "learning_rate": 4.3472806054997974e-06, + "loss": 0.7839, + "step": 3656 + }, + { + "epoch": 0.7, + "learning_rate": 4.342162148240853e-06, + "loss": 0.766, + "step": 3657 + }, + { + "epoch": 0.7, + "learning_rate": 4.337045870226355e-06, + "loss": 0.7591, + "step": 3658 + }, + { + "epoch": 0.7, + "learning_rate": 4.331931773426945e-06, + "loss": 0.7731, + "step": 3659 + }, + { + "epoch": 0.7, + "learning_rate": 4.326819859812431e-06, + "loss": 0.7872, + "step": 3660 + }, + { + "epoch": 0.7, + "learning_rate": 4.3217101313517915e-06, + "loss": 0.7933, + "step": 3661 + }, + { + "epoch": 0.7, + "learning_rate": 4.316602590013153e-06, + "loss": 0.7793, + "step": 3662 + }, + { + "epoch": 0.7, + "learning_rate": 4.311497237763791e-06, + "loss": 0.7908, + "step": 3663 + }, + { + "epoch": 0.7, + "learning_rate": 4.3063940765701574e-06, + "loss": 0.7925, + "step": 3664 + }, + { + "epoch": 0.7, + "learning_rate": 4.30129310839785e-06, + "loss": 0.7383, + "step": 3665 + }, + { + "epoch": 0.7, + "learning_rate": 4.296194335211613e-06, + "loss": 0.7948, + "step": 3666 + }, + { + "epoch": 0.7, + "learning_rate": 4.2910977589753635e-06, + "loss": 0.8542, + "step": 3667 + }, + { + "epoch": 0.7, + "learning_rate": 4.286003381652161e-06, + "loss": 0.7461, + "step": 3668 + }, + { + "epoch": 0.7, + "learning_rate": 4.28091120520422e-06, + "loss": 0.7917, + "step": 3669 + }, + { + "epoch": 0.7, + "learning_rate": 4.275821231592908e-06, + "loss": 0.7761, + "step": 3670 + }, + { + "epoch": 0.7, + "learning_rate": 4.270733462778742e-06, + "loss": 0.3367, + "step": 3671 + }, + { + "epoch": 0.7, + "learning_rate": 4.265647900721393e-06, + "loss": 0.7685, + "step": 3672 + }, + { + "epoch": 0.7, + "learning_rate": 4.2605645473796806e-06, + "loss": 0.833, + "step": 3673 + }, + { + "epoch": 0.7, + "learning_rate": 4.2554834047115734e-06, + "loss": 0.8061, + "step": 3674 + }, + { + "epoch": 0.7, + "learning_rate": 4.250404474674188e-06, + "loss": 0.8772, + "step": 3675 + }, + { + "epoch": 0.7, + "learning_rate": 4.24532775922379e-06, + "loss": 0.8008, + "step": 3676 + }, + { + "epoch": 0.7, + "learning_rate": 4.24025326031579e-06, + "loss": 0.8001, + "step": 3677 + }, + { + "epoch": 0.7, + "learning_rate": 4.2351809799047475e-06, + "loss": 0.8308, + "step": 3678 + }, + { + "epoch": 0.7, + "learning_rate": 4.230110919944365e-06, + "loss": 0.8581, + "step": 3679 + }, + { + "epoch": 0.71, + "learning_rate": 4.225043082387494e-06, + "loss": 0.7891, + "step": 3680 + }, + { + "epoch": 0.71, + "learning_rate": 4.219977469186124e-06, + "loss": 0.7725, + "step": 3681 + }, + { + "epoch": 0.71, + "learning_rate": 4.214914082291387e-06, + "loss": 0.8184, + "step": 3682 + }, + { + "epoch": 0.71, + "learning_rate": 4.2098529236535746e-06, + "loss": 0.7721, + "step": 3683 + }, + { + "epoch": 0.71, + "learning_rate": 4.204793995222093e-06, + "loss": 0.7877, + "step": 3684 + }, + { + "epoch": 0.71, + "learning_rate": 4.199737298945506e-06, + "loss": 0.7833, + "step": 3685 + }, + { + "epoch": 0.71, + "learning_rate": 4.194682836771522e-06, + "loss": 0.788, + "step": 3686 + }, + { + "epoch": 0.71, + "learning_rate": 4.1896306106469735e-06, + "loss": 0.9042, + "step": 3687 + }, + { + "epoch": 0.71, + "learning_rate": 4.184580622517839e-06, + "loss": 0.7692, + "step": 3688 + }, + { + "epoch": 0.71, + "learning_rate": 4.179532874329248e-06, + "loss": 0.8119, + "step": 3689 + }, + { + "epoch": 0.71, + "learning_rate": 4.174487368025442e-06, + "loss": 0.7765, + "step": 3690 + }, + { + "epoch": 0.71, + "learning_rate": 4.169444105549812e-06, + "loss": 0.7457, + "step": 3691 + }, + { + "epoch": 0.71, + "learning_rate": 4.164403088844895e-06, + "loss": 0.7526, + "step": 3692 + }, + { + "epoch": 0.71, + "learning_rate": 4.159364319852349e-06, + "loss": 0.7882, + "step": 3693 + }, + { + "epoch": 0.71, + "learning_rate": 4.1543278005129625e-06, + "loss": 0.8415, + "step": 3694 + }, + { + "epoch": 0.71, + "learning_rate": 4.149293532766675e-06, + "loss": 0.7659, + "step": 3695 + }, + { + "epoch": 0.71, + "learning_rate": 4.144261518552548e-06, + "loss": 0.3213, + "step": 3696 + }, + { + "epoch": 0.71, + "learning_rate": 4.139231759808765e-06, + "loss": 0.8067, + "step": 3697 + }, + { + "epoch": 0.71, + "learning_rate": 4.134204258472662e-06, + "loss": 0.3169, + "step": 3698 + }, + { + "epoch": 0.71, + "learning_rate": 4.129179016480693e-06, + "loss": 0.7812, + "step": 3699 + }, + { + "epoch": 0.71, + "learning_rate": 4.124156035768443e-06, + "loss": 0.7853, + "step": 3700 + }, + { + "epoch": 0.71, + "learning_rate": 4.119135318270626e-06, + "loss": 0.373, + "step": 3701 + }, + { + "epoch": 0.71, + "learning_rate": 4.114116865921086e-06, + "loss": 0.8244, + "step": 3702 + }, + { + "epoch": 0.71, + "learning_rate": 4.109100680652793e-06, + "loss": 0.7973, + "step": 3703 + }, + { + "epoch": 0.71, + "learning_rate": 4.1040867643978455e-06, + "loss": 0.7859, + "step": 3704 + }, + { + "epoch": 0.71, + "learning_rate": 4.099075119087467e-06, + "loss": 0.7843, + "step": 3705 + }, + { + "epoch": 0.71, + "learning_rate": 4.094065746652004e-06, + "loss": 0.7991, + "step": 3706 + }, + { + "epoch": 0.71, + "learning_rate": 4.0890586490209325e-06, + "loss": 0.8275, + "step": 3707 + }, + { + "epoch": 0.71, + "learning_rate": 4.084053828122848e-06, + "loss": 0.3277, + "step": 3708 + }, + { + "epoch": 0.71, + "learning_rate": 4.079051285885471e-06, + "loss": 0.8046, + "step": 3709 + }, + { + "epoch": 0.71, + "learning_rate": 4.0740510242356445e-06, + "loss": 0.3369, + "step": 3710 + }, + { + "epoch": 0.71, + "learning_rate": 4.069053045099332e-06, + "loss": 0.6846, + "step": 3711 + }, + { + "epoch": 0.71, + "learning_rate": 4.0640573504016176e-06, + "loss": 0.785, + "step": 3712 + }, + { + "epoch": 0.71, + "learning_rate": 4.059063942066704e-06, + "loss": 0.8239, + "step": 3713 + }, + { + "epoch": 0.71, + "learning_rate": 4.054072822017927e-06, + "loss": 0.8244, + "step": 3714 + }, + { + "epoch": 0.71, + "learning_rate": 4.049083992177717e-06, + "loss": 0.7418, + "step": 3715 + }, + { + "epoch": 0.71, + "learning_rate": 4.044097454467636e-06, + "loss": 0.7689, + "step": 3716 + }, + { + "epoch": 0.71, + "learning_rate": 4.039113210808373e-06, + "loss": 0.7879, + "step": 3717 + }, + { + "epoch": 0.71, + "learning_rate": 4.034131263119709e-06, + "loss": 0.8269, + "step": 3718 + }, + { + "epoch": 0.71, + "learning_rate": 4.029151613320558e-06, + "loss": 0.3202, + "step": 3719 + }, + { + "epoch": 0.71, + "learning_rate": 4.024174263328949e-06, + "loss": 0.786, + "step": 3720 + }, + { + "epoch": 0.71, + "learning_rate": 4.019199215062023e-06, + "loss": 0.785, + "step": 3721 + }, + { + "epoch": 0.71, + "learning_rate": 4.014226470436021e-06, + "loss": 0.8154, + "step": 3722 + }, + { + "epoch": 0.71, + "learning_rate": 4.00925603136632e-06, + "loss": 0.7349, + "step": 3723 + }, + { + "epoch": 0.71, + "learning_rate": 4.004287899767394e-06, + "loss": 0.7739, + "step": 3724 + }, + { + "epoch": 0.71, + "learning_rate": 3.999322077552825e-06, + "loss": 0.8077, + "step": 3725 + }, + { + "epoch": 0.71, + "learning_rate": 3.9943585666353205e-06, + "loss": 0.8073, + "step": 3726 + }, + { + "epoch": 0.71, + "learning_rate": 3.9893973689266854e-06, + "loss": 0.8144, + "step": 3727 + }, + { + "epoch": 0.71, + "learning_rate": 3.984438486337837e-06, + "loss": 0.7589, + "step": 3728 + }, + { + "epoch": 0.71, + "learning_rate": 3.979481920778803e-06, + "loss": 0.7898, + "step": 3729 + }, + { + "epoch": 0.71, + "learning_rate": 3.974527674158715e-06, + "loss": 0.7626, + "step": 3730 + }, + { + "epoch": 0.71, + "learning_rate": 3.969575748385816e-06, + "loss": 0.8054, + "step": 3731 + }, + { + "epoch": 0.71, + "learning_rate": 3.964626145367449e-06, + "loss": 0.7712, + "step": 3732 + }, + { + "epoch": 0.72, + "learning_rate": 3.95967886701007e-06, + "loss": 0.8678, + "step": 3733 + }, + { + "epoch": 0.72, + "learning_rate": 3.954733915219231e-06, + "loss": 0.8024, + "step": 3734 + }, + { + "epoch": 0.72, + "learning_rate": 3.949791291899594e-06, + "loss": 0.8391, + "step": 3735 + }, + { + "epoch": 0.72, + "learning_rate": 3.944850998954923e-06, + "loss": 0.7553, + "step": 3736 + }, + { + "epoch": 0.72, + "learning_rate": 3.939913038288084e-06, + "loss": 0.7907, + "step": 3737 + }, + { + "epoch": 0.72, + "learning_rate": 3.934977411801042e-06, + "loss": 0.7648, + "step": 3738 + }, + { + "epoch": 0.72, + "learning_rate": 3.930044121394868e-06, + "loss": 0.7866, + "step": 3739 + }, + { + "epoch": 0.72, + "learning_rate": 3.925113168969729e-06, + "loss": 0.8034, + "step": 3740 + }, + { + "epoch": 0.72, + "learning_rate": 3.920184556424894e-06, + "loss": 0.3268, + "step": 3741 + }, + { + "epoch": 0.72, + "learning_rate": 3.9152582856587305e-06, + "loss": 0.832, + "step": 3742 + }, + { + "epoch": 0.72, + "learning_rate": 3.910334358568701e-06, + "loss": 0.767, + "step": 3743 + }, + { + "epoch": 0.72, + "learning_rate": 3.905412777051365e-06, + "loss": 0.7911, + "step": 3744 + }, + { + "epoch": 0.72, + "learning_rate": 3.900493543002393e-06, + "loss": 0.7376, + "step": 3745 + }, + { + "epoch": 0.72, + "learning_rate": 3.895576658316528e-06, + "loss": 0.7792, + "step": 3746 + }, + { + "epoch": 0.72, + "learning_rate": 3.890662124887619e-06, + "loss": 0.8032, + "step": 3747 + }, + { + "epoch": 0.72, + "learning_rate": 3.88574994460862e-06, + "loss": 0.7897, + "step": 3748 + }, + { + "epoch": 0.72, + "learning_rate": 3.880840119371559e-06, + "loss": 0.7051, + "step": 3749 + }, + { + "epoch": 0.72, + "learning_rate": 3.875932651067567e-06, + "loss": 0.8475, + "step": 3750 + }, + { + "epoch": 0.72, + "learning_rate": 3.8710275415868724e-06, + "loss": 0.7446, + "step": 3751 + }, + { + "epoch": 0.72, + "learning_rate": 3.866124792818791e-06, + "loss": 0.7838, + "step": 3752 + }, + { + "epoch": 0.72, + "learning_rate": 3.861224406651715e-06, + "loss": 0.8044, + "step": 3753 + }, + { + "epoch": 0.72, + "learning_rate": 3.85632638497315e-06, + "loss": 0.8244, + "step": 3754 + }, + { + "epoch": 0.72, + "learning_rate": 3.85143072966968e-06, + "loss": 0.747, + "step": 3755 + }, + { + "epoch": 0.72, + "learning_rate": 3.84653744262697e-06, + "loss": 0.8037, + "step": 3756 + }, + { + "epoch": 0.72, + "learning_rate": 3.8416465257297865e-06, + "loss": 0.7898, + "step": 3757 + }, + { + "epoch": 0.72, + "learning_rate": 3.836757980861976e-06, + "loss": 0.7459, + "step": 3758 + }, + { + "epoch": 0.72, + "learning_rate": 3.831871809906472e-06, + "loss": 0.7431, + "step": 3759 + }, + { + "epoch": 0.72, + "learning_rate": 3.826988014745293e-06, + "loss": 0.8053, + "step": 3760 + }, + { + "epoch": 0.72, + "learning_rate": 3.822106597259545e-06, + "loss": 0.7731, + "step": 3761 + }, + { + "epoch": 0.72, + "learning_rate": 3.817227559329418e-06, + "loss": 0.8139, + "step": 3762 + }, + { + "epoch": 0.72, + "learning_rate": 3.8123509028341755e-06, + "loss": 0.3326, + "step": 3763 + }, + { + "epoch": 0.72, + "learning_rate": 3.8074766296521813e-06, + "loss": 0.7489, + "step": 3764 + }, + { + "epoch": 0.72, + "learning_rate": 3.802604741660869e-06, + "loss": 0.8064, + "step": 3765 + }, + { + "epoch": 0.72, + "learning_rate": 3.7977352407367573e-06, + "loss": 0.8179, + "step": 3766 + }, + { + "epoch": 0.72, + "learning_rate": 3.792868128755444e-06, + "loss": 0.7812, + "step": 3767 + }, + { + "epoch": 0.72, + "learning_rate": 3.7880034075916082e-06, + "loss": 0.8836, + "step": 3768 + }, + { + "epoch": 0.72, + "learning_rate": 3.783141079119007e-06, + "loss": 0.8222, + "step": 3769 + }, + { + "epoch": 0.72, + "learning_rate": 3.7782811452104763e-06, + "loss": 0.7505, + "step": 3770 + }, + { + "epoch": 0.72, + "learning_rate": 3.7734236077379304e-06, + "loss": 0.8164, + "step": 3771 + }, + { + "epoch": 0.72, + "learning_rate": 3.76856846857236e-06, + "loss": 0.7396, + "step": 3772 + }, + { + "epoch": 0.72, + "learning_rate": 3.7637157295838313e-06, + "loss": 0.8333, + "step": 3773 + }, + { + "epoch": 0.72, + "learning_rate": 3.758865392641485e-06, + "loss": 0.8184, + "step": 3774 + }, + { + "epoch": 0.72, + "learning_rate": 3.7540174596135393e-06, + "loss": 0.7436, + "step": 3775 + }, + { + "epoch": 0.72, + "learning_rate": 3.7491719323672916e-06, + "loss": 0.829, + "step": 3776 + }, + { + "epoch": 0.72, + "learning_rate": 3.744328812769098e-06, + "loss": 0.7992, + "step": 3777 + }, + { + "epoch": 0.72, + "learning_rate": 3.7394881026843956e-06, + "loss": 0.7883, + "step": 3778 + }, + { + "epoch": 0.72, + "learning_rate": 3.7346498039777044e-06, + "loss": 0.7692, + "step": 3779 + }, + { + "epoch": 0.72, + "learning_rate": 3.7298139185125927e-06, + "loss": 0.7911, + "step": 3780 + }, + { + "epoch": 0.72, + "learning_rate": 3.7249804481517173e-06, + "loss": 0.8178, + "step": 3781 + }, + { + "epoch": 0.72, + "learning_rate": 3.720149394756792e-06, + "loss": 0.7847, + "step": 3782 + }, + { + "epoch": 0.72, + "learning_rate": 3.715320760188621e-06, + "loss": 0.7351, + "step": 3783 + }, + { + "epoch": 0.72, + "learning_rate": 3.7104945463070484e-06, + "loss": 0.7814, + "step": 3784 + }, + { + "epoch": 0.73, + "learning_rate": 3.7056707549710012e-06, + "loss": 0.7625, + "step": 3785 + }, + { + "epoch": 0.73, + "learning_rate": 3.700849388038482e-06, + "loss": 0.7898, + "step": 3786 + }, + { + "epoch": 0.73, + "learning_rate": 3.696030447366541e-06, + "loss": 0.7885, + "step": 3787 + }, + { + "epoch": 0.73, + "learning_rate": 3.6912139348112994e-06, + "loss": 0.8025, + "step": 3788 + }, + { + "epoch": 0.73, + "learning_rate": 3.6863998522279555e-06, + "loss": 0.839, + "step": 3789 + }, + { + "epoch": 0.73, + "learning_rate": 3.6815882014707605e-06, + "loss": 0.8193, + "step": 3790 + }, + { + "epoch": 0.73, + "learning_rate": 3.6767789843930213e-06, + "loss": 0.7489, + "step": 3791 + }, + { + "epoch": 0.73, + "learning_rate": 3.671972202847126e-06, + "loss": 0.8171, + "step": 3792 + }, + { + "epoch": 0.73, + "learning_rate": 3.6671678586845173e-06, + "loss": 0.8428, + "step": 3793 + }, + { + "epoch": 0.73, + "learning_rate": 3.6623659537556867e-06, + "loss": 0.7689, + "step": 3794 + }, + { + "epoch": 0.73, + "learning_rate": 3.657566489910205e-06, + "loss": 0.3424, + "step": 3795 + }, + { + "epoch": 0.73, + "learning_rate": 3.652769468996693e-06, + "loss": 0.8182, + "step": 3796 + }, + { + "epoch": 0.73, + "learning_rate": 3.647974892862831e-06, + "loss": 0.8638, + "step": 3797 + }, + { + "epoch": 0.73, + "learning_rate": 3.6431827633553587e-06, + "loss": 0.7217, + "step": 3798 + }, + { + "epoch": 0.73, + "learning_rate": 3.638393082320074e-06, + "loss": 0.8449, + "step": 3799 + }, + { + "epoch": 0.73, + "learning_rate": 3.63360585160183e-06, + "loss": 0.7701, + "step": 3800 + }, + { + "epoch": 0.73, + "learning_rate": 3.6288210730445382e-06, + "loss": 0.775, + "step": 3801 + }, + { + "epoch": 0.73, + "learning_rate": 3.6240387484911642e-06, + "loss": 0.7518, + "step": 3802 + }, + { + "epoch": 0.73, + "learning_rate": 3.619258879783728e-06, + "loss": 0.3507, + "step": 3803 + }, + { + "epoch": 0.73, + "learning_rate": 3.6144814687633046e-06, + "loss": 0.7459, + "step": 3804 + }, + { + "epoch": 0.73, + "learning_rate": 3.609706517270023e-06, + "loss": 0.7927, + "step": 3805 + }, + { + "epoch": 0.73, + "learning_rate": 3.604934027143062e-06, + "loss": 0.7664, + "step": 3806 + }, + { + "epoch": 0.73, + "learning_rate": 3.6001640002206573e-06, + "loss": 0.7893, + "step": 3807 + }, + { + "epoch": 0.73, + "learning_rate": 3.5953964383400896e-06, + "loss": 0.7765, + "step": 3808 + }, + { + "epoch": 0.73, + "learning_rate": 3.590631343337695e-06, + "loss": 0.8299, + "step": 3809 + }, + { + "epoch": 0.73, + "learning_rate": 3.585868717048855e-06, + "loss": 0.8682, + "step": 3810 + }, + { + "epoch": 0.73, + "learning_rate": 3.581108561308012e-06, + "loss": 0.8587, + "step": 3811 + }, + { + "epoch": 0.73, + "learning_rate": 3.5763508779486377e-06, + "loss": 0.7294, + "step": 3812 + }, + { + "epoch": 0.73, + "learning_rate": 3.5715956688032627e-06, + "loss": 0.7797, + "step": 3813 + }, + { + "epoch": 0.73, + "learning_rate": 3.566842935703473e-06, + "loss": 0.8364, + "step": 3814 + }, + { + "epoch": 0.73, + "learning_rate": 3.5620926804798805e-06, + "loss": 0.7605, + "step": 3815 + }, + { + "epoch": 0.73, + "learning_rate": 3.5573449049621554e-06, + "loss": 0.8254, + "step": 3816 + }, + { + "epoch": 0.73, + "learning_rate": 3.5525996109790195e-06, + "loss": 0.8395, + "step": 3817 + }, + { + "epoch": 0.73, + "learning_rate": 3.5478568003582216e-06, + "loss": 0.3569, + "step": 3818 + }, + { + "epoch": 0.73, + "learning_rate": 3.5431164749265624e-06, + "loss": 0.7982, + "step": 3819 + }, + { + "epoch": 0.73, + "learning_rate": 3.5383786365098904e-06, + "loss": 0.8153, + "step": 3820 + }, + { + "epoch": 0.73, + "learning_rate": 3.533643286933094e-06, + "loss": 0.8276, + "step": 3821 + }, + { + "epoch": 0.73, + "learning_rate": 3.528910428020089e-06, + "loss": 0.7841, + "step": 3822 + }, + { + "epoch": 0.73, + "learning_rate": 3.5241800615938536e-06, + "loss": 0.7774, + "step": 3823 + }, + { + "epoch": 0.73, + "learning_rate": 3.5194521894763955e-06, + "loss": 0.3682, + "step": 3824 + }, + { + "epoch": 0.73, + "learning_rate": 3.5147268134887526e-06, + "loss": 0.8157, + "step": 3825 + }, + { + "epoch": 0.73, + "learning_rate": 3.5100039354510186e-06, + "loss": 0.806, + "step": 3826 + }, + { + "epoch": 0.73, + "learning_rate": 3.505283557182315e-06, + "loss": 0.7778, + "step": 3827 + }, + { + "epoch": 0.73, + "learning_rate": 3.5005656805008027e-06, + "loss": 0.8325, + "step": 3828 + }, + { + "epoch": 0.73, + "learning_rate": 3.4958503072236782e-06, + "loss": 0.8003, + "step": 3829 + }, + { + "epoch": 0.73, + "learning_rate": 3.4911374391671737e-06, + "loss": 0.7749, + "step": 3830 + }, + { + "epoch": 0.73, + "learning_rate": 3.486427078146559e-06, + "loss": 0.7756, + "step": 3831 + }, + { + "epoch": 0.73, + "learning_rate": 3.4817192259761346e-06, + "loss": 0.7284, + "step": 3832 + }, + { + "epoch": 0.73, + "learning_rate": 3.477013884469238e-06, + "loss": 0.8332, + "step": 3833 + }, + { + "epoch": 0.73, + "learning_rate": 3.472311055438237e-06, + "loss": 0.7471, + "step": 3834 + }, + { + "epoch": 0.73, + "learning_rate": 3.4676107406945315e-06, + "loss": 0.8276, + "step": 3835 + }, + { + "epoch": 0.73, + "learning_rate": 3.4629129420485575e-06, + "loss": 0.7847, + "step": 3836 + }, + { + "epoch": 0.74, + "learning_rate": 3.458217661309775e-06, + "loss": 0.8023, + "step": 3837 + }, + { + "epoch": 0.74, + "learning_rate": 3.453524900286681e-06, + "loss": 0.7712, + "step": 3838 + }, + { + "epoch": 0.74, + "learning_rate": 3.448834660786796e-06, + "loss": 0.764, + "step": 3839 + }, + { + "epoch": 0.74, + "learning_rate": 3.444146944616674e-06, + "loss": 0.7539, + "step": 3840 + }, + { + "epoch": 0.74, + "learning_rate": 3.439461753581892e-06, + "loss": 0.8327, + "step": 3841 + }, + { + "epoch": 0.74, + "learning_rate": 3.4347790894870647e-06, + "loss": 0.8072, + "step": 3842 + }, + { + "epoch": 0.74, + "learning_rate": 3.4300989541358186e-06, + "loss": 0.2794, + "step": 3843 + }, + { + "epoch": 0.74, + "learning_rate": 3.4254213493308143e-06, + "loss": 0.8055, + "step": 3844 + }, + { + "epoch": 0.74, + "learning_rate": 3.4207462768737453e-06, + "loss": 0.8566, + "step": 3845 + }, + { + "epoch": 0.74, + "learning_rate": 3.416073738565313e-06, + "loss": 0.8028, + "step": 3846 + }, + { + "epoch": 0.74, + "learning_rate": 3.411403736205251e-06, + "loss": 0.3681, + "step": 3847 + }, + { + "epoch": 0.74, + "learning_rate": 3.4067362715923237e-06, + "loss": 0.795, + "step": 3848 + }, + { + "epoch": 0.74, + "learning_rate": 3.4020713465243105e-06, + "loss": 0.7482, + "step": 3849 + }, + { + "epoch": 0.74, + "learning_rate": 3.3974089627980024e-06, + "loss": 0.8049, + "step": 3850 + }, + { + "epoch": 0.74, + "learning_rate": 3.3927491222092335e-06, + "loss": 0.8401, + "step": 3851 + }, + { + "epoch": 0.74, + "learning_rate": 3.3880918265528453e-06, + "loss": 0.8423, + "step": 3852 + }, + { + "epoch": 0.74, + "learning_rate": 3.383437077622691e-06, + "loss": 0.7311, + "step": 3853 + }, + { + "epoch": 0.74, + "learning_rate": 3.3787848772116636e-06, + "loss": 0.7676, + "step": 3854 + }, + { + "epoch": 0.74, + "learning_rate": 3.3741352271116644e-06, + "loss": 0.8336, + "step": 3855 + }, + { + "epoch": 0.74, + "learning_rate": 3.3694881291135983e-06, + "loss": 0.7463, + "step": 3856 + }, + { + "epoch": 0.74, + "learning_rate": 3.3648435850074136e-06, + "loss": 0.327, + "step": 3857 + }, + { + "epoch": 0.74, + "learning_rate": 3.360201596582057e-06, + "loss": 0.7804, + "step": 3858 + }, + { + "epoch": 0.74, + "learning_rate": 3.3555621656254944e-06, + "loss": 0.8123, + "step": 3859 + }, + { + "epoch": 0.74, + "learning_rate": 3.3509252939247094e-06, + "loss": 0.7673, + "step": 3860 + }, + { + "epoch": 0.74, + "learning_rate": 3.3462909832656986e-06, + "loss": 0.8022, + "step": 3861 + }, + { + "epoch": 0.74, + "learning_rate": 3.3416592354334697e-06, + "loss": 0.7925, + "step": 3862 + }, + { + "epoch": 0.74, + "learning_rate": 3.337030052212047e-06, + "loss": 0.7511, + "step": 3863 + }, + { + "epoch": 0.74, + "learning_rate": 3.332403435384465e-06, + "loss": 0.7785, + "step": 3864 + }, + { + "epoch": 0.74, + "learning_rate": 3.327779386732769e-06, + "loss": 0.3295, + "step": 3865 + }, + { + "epoch": 0.74, + "learning_rate": 3.3231579080380174e-06, + "loss": 0.7855, + "step": 3866 + }, + { + "epoch": 0.74, + "learning_rate": 3.3185390010802767e-06, + "loss": 0.8096, + "step": 3867 + }, + { + "epoch": 0.74, + "learning_rate": 3.3139226676386225e-06, + "loss": 0.3304, + "step": 3868 + }, + { + "epoch": 0.74, + "learning_rate": 3.3093089094911434e-06, + "loss": 0.8325, + "step": 3869 + }, + { + "epoch": 0.74, + "learning_rate": 3.3046977284149294e-06, + "loss": 0.7125, + "step": 3870 + }, + { + "epoch": 0.74, + "learning_rate": 3.3000891261860844e-06, + "loss": 0.7335, + "step": 3871 + }, + { + "epoch": 0.74, + "learning_rate": 3.2954831045797108e-06, + "loss": 0.8455, + "step": 3872 + }, + { + "epoch": 0.74, + "learning_rate": 3.2908796653699314e-06, + "loss": 0.7618, + "step": 3873 + }, + { + "epoch": 0.74, + "learning_rate": 3.2862788103298573e-06, + "loss": 0.8395, + "step": 3874 + }, + { + "epoch": 0.74, + "learning_rate": 3.281680541231611e-06, + "loss": 0.7498, + "step": 3875 + }, + { + "epoch": 0.74, + "learning_rate": 3.27708485984633e-06, + "loss": 0.7828, + "step": 3876 + }, + { + "epoch": 0.74, + "learning_rate": 3.272491767944135e-06, + "loss": 0.7681, + "step": 3877 + }, + { + "epoch": 0.74, + "learning_rate": 3.267901267294159e-06, + "loss": 0.8254, + "step": 3878 + }, + { + "epoch": 0.74, + "learning_rate": 3.263313359664545e-06, + "loss": 0.7909, + "step": 3879 + }, + { + "epoch": 0.74, + "learning_rate": 3.2587280468224293e-06, + "loss": 0.7671, + "step": 3880 + }, + { + "epoch": 0.74, + "learning_rate": 3.254145330533939e-06, + "loss": 0.8074, + "step": 3881 + }, + { + "epoch": 0.74, + "learning_rate": 3.2495652125642207e-06, + "loss": 0.8138, + "step": 3882 + }, + { + "epoch": 0.74, + "learning_rate": 3.2449876946774115e-06, + "loss": 0.784, + "step": 3883 + }, + { + "epoch": 0.74, + "learning_rate": 3.2404127786366345e-06, + "loss": 0.7974, + "step": 3884 + }, + { + "epoch": 0.74, + "learning_rate": 3.235840466204034e-06, + "loss": 0.3729, + "step": 3885 + }, + { + "epoch": 0.74, + "learning_rate": 3.2312707591407356e-06, + "loss": 0.8217, + "step": 3886 + }, + { + "epoch": 0.74, + "learning_rate": 3.2267036592068656e-06, + "loss": 0.3321, + "step": 3887 + }, + { + "epoch": 0.74, + "learning_rate": 3.2221391681615455e-06, + "loss": 0.7524, + "step": 3888 + }, + { + "epoch": 0.75, + "learning_rate": 3.217577287762894e-06, + "loss": 0.7989, + "step": 3889 + }, + { + "epoch": 0.75, + "learning_rate": 3.2130180197680207e-06, + "loss": 0.8043, + "step": 3890 + }, + { + "epoch": 0.75, + "learning_rate": 3.208461365933032e-06, + "loss": 0.7415, + "step": 3891 + }, + { + "epoch": 0.75, + "learning_rate": 3.203907328013027e-06, + "loss": 0.7959, + "step": 3892 + }, + { + "epoch": 0.75, + "learning_rate": 3.199355907762095e-06, + "loss": 0.8342, + "step": 3893 + }, + { + "epoch": 0.75, + "learning_rate": 3.1948071069333207e-06, + "loss": 0.8307, + "step": 3894 + }, + { + "epoch": 0.75, + "learning_rate": 3.1902609272787755e-06, + "loss": 0.7872, + "step": 3895 + }, + { + "epoch": 0.75, + "learning_rate": 3.185717370549525e-06, + "loss": 0.7425, + "step": 3896 + }, + { + "epoch": 0.75, + "learning_rate": 3.1811764384956223e-06, + "loss": 0.8073, + "step": 3897 + }, + { + "epoch": 0.75, + "learning_rate": 3.176638132866111e-06, + "loss": 0.7978, + "step": 3898 + }, + { + "epoch": 0.75, + "learning_rate": 3.172102455409022e-06, + "loss": 0.7715, + "step": 3899 + }, + { + "epoch": 0.75, + "learning_rate": 3.1675694078713738e-06, + "loss": 0.7587, + "step": 3900 + }, + { + "epoch": 0.75, + "learning_rate": 3.1630389919991733e-06, + "loss": 0.8222, + "step": 3901 + }, + { + "epoch": 0.75, + "learning_rate": 3.1585112095374117e-06, + "loss": 0.8096, + "step": 3902 + }, + { + "epoch": 0.75, + "learning_rate": 3.1539860622300646e-06, + "loss": 0.7873, + "step": 3903 + }, + { + "epoch": 0.75, + "learning_rate": 3.1494635518201046e-06, + "loss": 0.7487, + "step": 3904 + }, + { + "epoch": 0.75, + "learning_rate": 3.144943680049469e-06, + "loss": 0.7806, + "step": 3905 + }, + { + "epoch": 0.75, + "learning_rate": 3.1404264486590885e-06, + "loss": 0.7336, + "step": 3906 + }, + { + "epoch": 0.75, + "learning_rate": 3.1359118593888883e-06, + "loss": 0.3831, + "step": 3907 + }, + { + "epoch": 0.75, + "learning_rate": 3.131399913977754e-06, + "loss": 0.7874, + "step": 3908 + }, + { + "epoch": 0.75, + "learning_rate": 3.1268906141635626e-06, + "loss": 0.7631, + "step": 3909 + }, + { + "epoch": 0.75, + "learning_rate": 3.1223839616831817e-06, + "loss": 0.7841, + "step": 3910 + }, + { + "epoch": 0.75, + "learning_rate": 3.1178799582724496e-06, + "loss": 0.8247, + "step": 3911 + }, + { + "epoch": 0.75, + "learning_rate": 3.113378605666174e-06, + "loss": 0.7638, + "step": 3912 + }, + { + "epoch": 0.75, + "learning_rate": 3.1088799055981656e-06, + "loss": 0.7738, + "step": 3913 + }, + { + "epoch": 0.75, + "learning_rate": 3.104383859801199e-06, + "loss": 0.7963, + "step": 3914 + }, + { + "epoch": 0.75, + "learning_rate": 3.0998904700070186e-06, + "loss": 0.7968, + "step": 3915 + }, + { + "epoch": 0.75, + "learning_rate": 3.095399737946364e-06, + "loss": 0.8251, + "step": 3916 + }, + { + "epoch": 0.75, + "learning_rate": 3.0909116653489413e-06, + "loss": 0.8361, + "step": 3917 + }, + { + "epoch": 0.75, + "learning_rate": 3.086426253943431e-06, + "loss": 0.8029, + "step": 3918 + }, + { + "epoch": 0.75, + "learning_rate": 3.081943505457492e-06, + "loss": 0.8202, + "step": 3919 + }, + { + "epoch": 0.75, + "learning_rate": 3.077463421617758e-06, + "loss": 0.8045, + "step": 3920 + }, + { + "epoch": 0.75, + "learning_rate": 3.0729860041498318e-06, + "loss": 0.7647, + "step": 3921 + }, + { + "epoch": 0.75, + "learning_rate": 3.068511254778295e-06, + "loss": 0.7666, + "step": 3922 + }, + { + "epoch": 0.75, + "learning_rate": 3.0640391752266962e-06, + "loss": 0.3607, + "step": 3923 + }, + { + "epoch": 0.75, + "learning_rate": 3.0595697672175596e-06, + "loss": 0.881, + "step": 3924 + }, + { + "epoch": 0.75, + "learning_rate": 3.0551030324723786e-06, + "loss": 0.3569, + "step": 3925 + }, + { + "epoch": 0.75, + "learning_rate": 3.050638972711618e-06, + "loss": 0.7358, + "step": 3926 + }, + { + "epoch": 0.75, + "learning_rate": 3.046177589654711e-06, + "loss": 0.7748, + "step": 3927 + }, + { + "epoch": 0.75, + "learning_rate": 3.0417188850200597e-06, + "loss": 0.8647, + "step": 3928 + }, + { + "epoch": 0.75, + "learning_rate": 3.0372628605250364e-06, + "loss": 0.825, + "step": 3929 + }, + { + "epoch": 0.75, + "learning_rate": 3.0328095178859796e-06, + "loss": 0.8032, + "step": 3930 + }, + { + "epoch": 0.75, + "learning_rate": 3.028358858818191e-06, + "loss": 0.7985, + "step": 3931 + }, + { + "epoch": 0.75, + "learning_rate": 3.023910885035953e-06, + "loss": 0.7164, + "step": 3932 + }, + { + "epoch": 0.75, + "learning_rate": 3.0194655982524946e-06, + "loss": 0.7984, + "step": 3933 + }, + { + "epoch": 0.75, + "learning_rate": 3.0150230001800173e-06, + "loss": 0.8119, + "step": 3934 + }, + { + "epoch": 0.75, + "learning_rate": 3.0105830925296998e-06, + "loss": 0.7921, + "step": 3935 + }, + { + "epoch": 0.75, + "learning_rate": 3.0061458770116613e-06, + "loss": 0.8047, + "step": 3936 + }, + { + "epoch": 0.75, + "learning_rate": 3.0017113553349975e-06, + "loss": 0.7555, + "step": 3937 + }, + { + "epoch": 0.75, + "learning_rate": 2.997279529207774e-06, + "loss": 0.6577, + "step": 3938 + }, + { + "epoch": 0.75, + "learning_rate": 2.9928504003369995e-06, + "loss": 0.7448, + "step": 3939 + }, + { + "epoch": 0.75, + "learning_rate": 2.9884239704286545e-06, + "loss": 0.7684, + "step": 3940 + }, + { + "epoch": 0.76, + "learning_rate": 2.9840002411876822e-06, + "loss": 0.7662, + "step": 3941 + }, + { + "epoch": 0.76, + "learning_rate": 2.9795792143179846e-06, + "loss": 0.7999, + "step": 3942 + }, + { + "epoch": 0.76, + "learning_rate": 2.9751608915224106e-06, + "loss": 0.8345, + "step": 3943 + }, + { + "epoch": 0.76, + "learning_rate": 2.9707452745027864e-06, + "loss": 0.8155, + "step": 3944 + }, + { + "epoch": 0.76, + "learning_rate": 2.9663323649598873e-06, + "loss": 0.8248, + "step": 3945 + }, + { + "epoch": 0.76, + "learning_rate": 2.961922164593435e-06, + "loss": 0.8251, + "step": 3946 + }, + { + "epoch": 0.76, + "learning_rate": 2.9575146751021276e-06, + "loss": 0.7617, + "step": 3947 + }, + { + "epoch": 0.76, + "learning_rate": 2.9531098981836082e-06, + "loss": 0.7637, + "step": 3948 + }, + { + "epoch": 0.76, + "learning_rate": 2.9487078355344744e-06, + "loss": 0.7492, + "step": 3949 + }, + { + "epoch": 0.76, + "learning_rate": 2.9443084888502815e-06, + "loss": 0.829, + "step": 3950 + }, + { + "epoch": 0.76, + "learning_rate": 2.9399118598255373e-06, + "loss": 0.7448, + "step": 3951 + }, + { + "epoch": 0.76, + "learning_rate": 2.9355179501537024e-06, + "loss": 0.8557, + "step": 3952 + }, + { + "epoch": 0.76, + "learning_rate": 2.9311267615271922e-06, + "loss": 0.757, + "step": 3953 + }, + { + "epoch": 0.76, + "learning_rate": 2.9267382956373702e-06, + "loss": 0.8275, + "step": 3954 + }, + { + "epoch": 0.76, + "learning_rate": 2.9223525541745555e-06, + "loss": 0.3217, + "step": 3955 + }, + { + "epoch": 0.76, + "learning_rate": 2.917969538828016e-06, + "loss": 0.777, + "step": 3956 + }, + { + "epoch": 0.76, + "learning_rate": 2.9135892512859677e-06, + "loss": 0.7355, + "step": 3957 + }, + { + "epoch": 0.76, + "learning_rate": 2.9092116932355772e-06, + "loss": 0.848, + "step": 3958 + }, + { + "epoch": 0.76, + "learning_rate": 2.904836866362963e-06, + "loss": 0.7852, + "step": 3959 + }, + { + "epoch": 0.76, + "learning_rate": 2.9004647723531866e-06, + "loss": 0.791, + "step": 3960 + }, + { + "epoch": 0.76, + "learning_rate": 2.8960954128902596e-06, + "loss": 0.7552, + "step": 3961 + }, + { + "epoch": 0.76, + "learning_rate": 2.8917287896571365e-06, + "loss": 0.7876, + "step": 3962 + }, + { + "epoch": 0.76, + "learning_rate": 2.887364904335731e-06, + "loss": 0.7226, + "step": 3963 + }, + { + "epoch": 0.76, + "learning_rate": 2.8830037586068826e-06, + "loss": 0.7327, + "step": 3964 + }, + { + "epoch": 0.76, + "learning_rate": 2.8786453541503846e-06, + "loss": 0.746, + "step": 3965 + }, + { + "epoch": 0.76, + "learning_rate": 2.874289692644987e-06, + "loss": 0.7851, + "step": 3966 + }, + { + "epoch": 0.76, + "learning_rate": 2.869936775768359e-06, + "loss": 0.7642, + "step": 3967 + }, + { + "epoch": 0.76, + "learning_rate": 2.865586605197128e-06, + "loss": 0.7633, + "step": 3968 + }, + { + "epoch": 0.76, + "learning_rate": 2.8612391826068664e-06, + "loss": 0.755, + "step": 3969 + }, + { + "epoch": 0.76, + "learning_rate": 2.8568945096720813e-06, + "loss": 0.8526, + "step": 3970 + }, + { + "epoch": 0.76, + "learning_rate": 2.852552588066213e-06, + "loss": 0.7837, + "step": 3971 + }, + { + "epoch": 0.76, + "learning_rate": 2.8482134194616607e-06, + "loss": 0.7491, + "step": 3972 + }, + { + "epoch": 0.76, + "learning_rate": 2.843877005529754e-06, + "loss": 0.7337, + "step": 3973 + }, + { + "epoch": 0.76, + "learning_rate": 2.83954334794075e-06, + "loss": 0.8195, + "step": 3974 + }, + { + "epoch": 0.76, + "learning_rate": 2.8352124483638653e-06, + "loss": 0.8082, + "step": 3975 + }, + { + "epoch": 0.76, + "learning_rate": 2.8308843084672442e-06, + "loss": 0.7605, + "step": 3976 + }, + { + "epoch": 0.76, + "learning_rate": 2.82655892991796e-06, + "loss": 0.7995, + "step": 3977 + }, + { + "epoch": 0.76, + "learning_rate": 2.8222363143820365e-06, + "loss": 0.7785, + "step": 3978 + }, + { + "epoch": 0.76, + "learning_rate": 2.817916463524425e-06, + "loss": 0.3071, + "step": 3979 + }, + { + "epoch": 0.76, + "learning_rate": 2.8135993790090154e-06, + "loss": 0.8074, + "step": 3980 + }, + { + "epoch": 0.76, + "learning_rate": 2.809285062498629e-06, + "loss": 0.8292, + "step": 3981 + }, + { + "epoch": 0.76, + "learning_rate": 2.804973515655024e-06, + "loss": 0.8192, + "step": 3982 + }, + { + "epoch": 0.76, + "learning_rate": 2.8006647401388886e-06, + "loss": 0.2919, + "step": 3983 + }, + { + "epoch": 0.76, + "learning_rate": 2.7963587376098465e-06, + "loss": 0.7469, + "step": 3984 + }, + { + "epoch": 0.76, + "learning_rate": 2.7920555097264525e-06, + "loss": 0.742, + "step": 3985 + }, + { + "epoch": 0.76, + "learning_rate": 2.78775505814619e-06, + "loss": 0.8408, + "step": 3986 + }, + { + "epoch": 0.76, + "learning_rate": 2.7834573845254786e-06, + "loss": 0.7384, + "step": 3987 + }, + { + "epoch": 0.76, + "learning_rate": 2.7791624905196624e-06, + "loss": 0.8043, + "step": 3988 + }, + { + "epoch": 0.76, + "learning_rate": 2.774870377783018e-06, + "loss": 0.7467, + "step": 3989 + }, + { + "epoch": 0.76, + "learning_rate": 2.7705810479687488e-06, + "loss": 0.7425, + "step": 3990 + }, + { + "epoch": 0.76, + "learning_rate": 2.766294502728989e-06, + "loss": 0.3315, + "step": 3991 + }, + { + "epoch": 0.76, + "learning_rate": 2.762010743714798e-06, + "loss": 0.8142, + "step": 3992 + }, + { + "epoch": 0.76, + "learning_rate": 2.7577297725761597e-06, + "loss": 0.8597, + "step": 3993 + }, + { + "epoch": 0.77, + "learning_rate": 2.753451590961995e-06, + "loss": 0.7657, + "step": 3994 + }, + { + "epoch": 0.77, + "learning_rate": 2.749176200520136e-06, + "loss": 0.786, + "step": 3995 + }, + { + "epoch": 0.77, + "learning_rate": 2.7449036028973432e-06, + "loss": 0.343, + "step": 3996 + }, + { + "epoch": 0.77, + "learning_rate": 2.740633799739315e-06, + "loss": 0.3378, + "step": 3997 + }, + { + "epoch": 0.77, + "learning_rate": 2.7363667926906546e-06, + "loss": 0.732, + "step": 3998 + }, + { + "epoch": 0.77, + "learning_rate": 2.7321025833948946e-06, + "loss": 0.7723, + "step": 3999 + }, + { + "epoch": 0.77, + "learning_rate": 2.727841173494499e-06, + "loss": 0.726, + "step": 4000 + }, + { + "epoch": 0.77, + "learning_rate": 2.7235825646308455e-06, + "loss": 0.8209, + "step": 4001 + }, + { + "epoch": 0.77, + "learning_rate": 2.7193267584442262e-06, + "loss": 0.7906, + "step": 4002 + }, + { + "epoch": 0.77, + "learning_rate": 2.715073756573869e-06, + "loss": 0.7919, + "step": 4003 + }, + { + "epoch": 0.77, + "learning_rate": 2.710823560657915e-06, + "loss": 0.7818, + "step": 4004 + }, + { + "epoch": 0.77, + "learning_rate": 2.706576172333413e-06, + "loss": 0.8306, + "step": 4005 + }, + { + "epoch": 0.77, + "learning_rate": 2.7023315932363515e-06, + "loss": 0.7203, + "step": 4006 + }, + { + "epoch": 0.77, + "learning_rate": 2.698089825001622e-06, + "loss": 0.7965, + "step": 4007 + }, + { + "epoch": 0.77, + "learning_rate": 2.693850869263038e-06, + "loss": 0.7833, + "step": 4008 + }, + { + "epoch": 0.77, + "learning_rate": 2.689614727653329e-06, + "loss": 0.7695, + "step": 4009 + }, + { + "epoch": 0.77, + "learning_rate": 2.6853814018041425e-06, + "loss": 0.7716, + "step": 4010 + }, + { + "epoch": 0.77, + "learning_rate": 2.6811508933460383e-06, + "loss": 0.7513, + "step": 4011 + }, + { + "epoch": 0.77, + "learning_rate": 2.6769232039084925e-06, + "loss": 0.8634, + "step": 4012 + }, + { + "epoch": 0.77, + "learning_rate": 2.6726983351198965e-06, + "loss": 0.8475, + "step": 4013 + }, + { + "epoch": 0.77, + "learning_rate": 2.668476288607554e-06, + "loss": 0.7785, + "step": 4014 + }, + { + "epoch": 0.77, + "learning_rate": 2.664257065997682e-06, + "loss": 0.8188, + "step": 4015 + }, + { + "epoch": 0.77, + "learning_rate": 2.660040668915409e-06, + "loss": 0.8155, + "step": 4016 + }, + { + "epoch": 0.77, + "learning_rate": 2.6558270989847756e-06, + "loss": 0.7708, + "step": 4017 + }, + { + "epoch": 0.77, + "learning_rate": 2.6516163578287346e-06, + "loss": 0.7315, + "step": 4018 + }, + { + "epoch": 0.77, + "learning_rate": 2.6474084470691485e-06, + "loss": 0.706, + "step": 4019 + }, + { + "epoch": 0.77, + "learning_rate": 2.643203368326789e-06, + "loss": 0.8131, + "step": 4020 + }, + { + "epoch": 0.77, + "learning_rate": 2.6390011232213365e-06, + "loss": 0.7816, + "step": 4021 + }, + { + "epoch": 0.77, + "learning_rate": 2.6348017133713832e-06, + "loss": 0.7098, + "step": 4022 + }, + { + "epoch": 0.77, + "learning_rate": 2.6306051403944246e-06, + "loss": 0.823, + "step": 4023 + }, + { + "epoch": 0.77, + "learning_rate": 2.6264114059068645e-06, + "loss": 0.816, + "step": 4024 + }, + { + "epoch": 0.77, + "learning_rate": 2.622220511524023e-06, + "loss": 0.3383, + "step": 4025 + }, + { + "epoch": 0.77, + "learning_rate": 2.618032458860109e-06, + "loss": 0.8023, + "step": 4026 + }, + { + "epoch": 0.77, + "learning_rate": 2.6138472495282475e-06, + "loss": 0.8011, + "step": 4027 + }, + { + "epoch": 0.77, + "learning_rate": 2.6096648851404725e-06, + "loss": 0.8181, + "step": 4028 + }, + { + "epoch": 0.77, + "learning_rate": 2.605485367307711e-06, + "loss": 0.7768, + "step": 4029 + }, + { + "epoch": 0.77, + "learning_rate": 2.601308697639795e-06, + "loss": 0.7361, + "step": 4030 + }, + { + "epoch": 0.77, + "learning_rate": 2.597134877745473e-06, + "loss": 0.7624, + "step": 4031 + }, + { + "epoch": 0.77, + "learning_rate": 2.5929639092323846e-06, + "loss": 0.8337, + "step": 4032 + }, + { + "epoch": 0.77, + "learning_rate": 2.588795793707064e-06, + "loss": 0.3453, + "step": 4033 + }, + { + "epoch": 0.77, + "learning_rate": 2.5846305327749653e-06, + "loss": 0.7723, + "step": 4034 + }, + { + "epoch": 0.77, + "learning_rate": 2.580468128040432e-06, + "loss": 0.7253, + "step": 4035 + }, + { + "epoch": 0.77, + "learning_rate": 2.576308581106699e-06, + "loss": 0.8011, + "step": 4036 + }, + { + "epoch": 0.77, + "learning_rate": 2.5721518935759214e-06, + "loss": 0.7884, + "step": 4037 + }, + { + "epoch": 0.77, + "learning_rate": 2.5679980670491356e-06, + "loss": 0.7477, + "step": 4038 + }, + { + "epoch": 0.77, + "learning_rate": 2.5638471031262848e-06, + "loss": 0.7957, + "step": 4039 + }, + { + "epoch": 0.77, + "learning_rate": 2.5596990034062054e-06, + "loss": 0.7406, + "step": 4040 + }, + { + "epoch": 0.77, + "learning_rate": 2.5555537694866315e-06, + "loss": 0.7746, + "step": 4041 + }, + { + "epoch": 0.77, + "learning_rate": 2.5514114029641944e-06, + "loss": 0.6868, + "step": 4042 + }, + { + "epoch": 0.77, + "learning_rate": 2.547271905434421e-06, + "loss": 0.731, + "step": 4043 + }, + { + "epoch": 0.77, + "learning_rate": 2.543135278491732e-06, + "loss": 0.7948, + "step": 4044 + }, + { + "epoch": 0.77, + "learning_rate": 2.539001523729443e-06, + "loss": 0.7736, + "step": 4045 + }, + { + "epoch": 0.78, + "learning_rate": 2.534870642739764e-06, + "loss": 0.781, + "step": 4046 + }, + { + "epoch": 0.78, + "learning_rate": 2.5307426371137965e-06, + "loss": 0.8005, + "step": 4047 + }, + { + "epoch": 0.78, + "learning_rate": 2.5266175084415355e-06, + "loss": 0.8293, + "step": 4048 + }, + { + "epoch": 0.78, + "learning_rate": 2.5224952583118677e-06, + "loss": 0.7626, + "step": 4049 + }, + { + "epoch": 0.78, + "learning_rate": 2.5183758883125718e-06, + "loss": 0.7639, + "step": 4050 + }, + { + "epoch": 0.78, + "learning_rate": 2.5142594000303156e-06, + "loss": 0.7745, + "step": 4051 + }, + { + "epoch": 0.78, + "learning_rate": 2.5101457950506556e-06, + "loss": 0.7418, + "step": 4052 + }, + { + "epoch": 0.78, + "learning_rate": 2.5060350749580487e-06, + "loss": 0.7325, + "step": 4053 + }, + { + "epoch": 0.78, + "learning_rate": 2.501927241335823e-06, + "loss": 0.7363, + "step": 4054 + }, + { + "epoch": 0.78, + "learning_rate": 2.4978222957662037e-06, + "loss": 0.7916, + "step": 4055 + }, + { + "epoch": 0.78, + "learning_rate": 2.493720239830312e-06, + "loss": 0.7908, + "step": 4056 + }, + { + "epoch": 0.78, + "learning_rate": 2.4896210751081396e-06, + "loss": 0.331, + "step": 4057 + }, + { + "epoch": 0.78, + "learning_rate": 2.4855248031785715e-06, + "loss": 0.7767, + "step": 4058 + }, + { + "epoch": 0.78, + "learning_rate": 2.4814314256193895e-06, + "loss": 0.7817, + "step": 4059 + }, + { + "epoch": 0.78, + "learning_rate": 2.4773409440072416e-06, + "loss": 0.8743, + "step": 4060 + }, + { + "epoch": 0.78, + "learning_rate": 2.47325335991767e-06, + "loss": 0.7902, + "step": 4061 + }, + { + "epoch": 0.78, + "learning_rate": 2.4691686749251053e-06, + "loss": 0.8304, + "step": 4062 + }, + { + "epoch": 0.78, + "learning_rate": 2.465086890602857e-06, + "loss": 0.7561, + "step": 4063 + }, + { + "epoch": 0.78, + "learning_rate": 2.461008008523108e-06, + "loss": 0.815, + "step": 4064 + }, + { + "epoch": 0.78, + "learning_rate": 2.45693203025694e-06, + "loss": 0.851, + "step": 4065 + }, + { + "epoch": 0.78, + "learning_rate": 2.45285895737431e-06, + "loss": 0.3278, + "step": 4066 + }, + { + "epoch": 0.78, + "learning_rate": 2.4487887914440446e-06, + "loss": 0.7882, + "step": 4067 + }, + { + "epoch": 0.78, + "learning_rate": 2.444721534033869e-06, + "loss": 0.8008, + "step": 4068 + }, + { + "epoch": 0.78, + "learning_rate": 2.440657186710378e-06, + "loss": 0.7887, + "step": 4069 + }, + { + "epoch": 0.78, + "learning_rate": 2.436595751039045e-06, + "loss": 0.7035, + "step": 4070 + }, + { + "epoch": 0.78, + "learning_rate": 2.4325372285842253e-06, + "loss": 0.8158, + "step": 4071 + }, + { + "epoch": 0.78, + "learning_rate": 2.42848162090915e-06, + "loss": 0.7905, + "step": 4072 + }, + { + "epoch": 0.78, + "learning_rate": 2.4244289295759293e-06, + "loss": 0.7966, + "step": 4073 + }, + { + "epoch": 0.78, + "learning_rate": 2.420379156145548e-06, + "loss": 0.3177, + "step": 4074 + }, + { + "epoch": 0.78, + "learning_rate": 2.4163323021778694e-06, + "loss": 0.7747, + "step": 4075 + }, + { + "epoch": 0.78, + "learning_rate": 2.4122883692316303e-06, + "loss": 0.7523, + "step": 4076 + }, + { + "epoch": 0.78, + "learning_rate": 2.4082473588644417e-06, + "loss": 0.7518, + "step": 4077 + }, + { + "epoch": 0.78, + "learning_rate": 2.4042092726327924e-06, + "loss": 0.7293, + "step": 4078 + }, + { + "epoch": 0.78, + "learning_rate": 2.400174112092042e-06, + "loss": 0.7358, + "step": 4079 + }, + { + "epoch": 0.78, + "learning_rate": 2.3961418787964243e-06, + "loss": 0.7854, + "step": 4080 + }, + { + "epoch": 0.78, + "learning_rate": 2.3921125742990446e-06, + "loss": 0.7927, + "step": 4081 + }, + { + "epoch": 0.78, + "learning_rate": 2.388086200151881e-06, + "loss": 0.3369, + "step": 4082 + }, + { + "epoch": 0.78, + "learning_rate": 2.384062757905782e-06, + "loss": 0.7679, + "step": 4083 + }, + { + "epoch": 0.78, + "learning_rate": 2.3800422491104725e-06, + "loss": 0.7679, + "step": 4084 + }, + { + "epoch": 0.78, + "learning_rate": 2.3760246753145356e-06, + "loss": 0.7601, + "step": 4085 + }, + { + "epoch": 0.78, + "learning_rate": 2.372010038065432e-06, + "loss": 0.7585, + "step": 4086 + }, + { + "epoch": 0.78, + "learning_rate": 2.3679983389094975e-06, + "loss": 0.7744, + "step": 4087 + }, + { + "epoch": 0.78, + "learning_rate": 2.3639895793919198e-06, + "loss": 0.8027, + "step": 4088 + }, + { + "epoch": 0.78, + "learning_rate": 2.3599837610567653e-06, + "loss": 0.8278, + "step": 4089 + }, + { + "epoch": 0.78, + "learning_rate": 2.35598088544697e-06, + "loss": 0.7307, + "step": 4090 + }, + { + "epoch": 0.78, + "learning_rate": 2.3519809541043327e-06, + "loss": 0.7162, + "step": 4091 + }, + { + "epoch": 0.78, + "learning_rate": 2.347983968569508e-06, + "loss": 0.7832, + "step": 4092 + }, + { + "epoch": 0.78, + "learning_rate": 2.3439899303820356e-06, + "loss": 0.7999, + "step": 4093 + }, + { + "epoch": 0.78, + "learning_rate": 2.3399988410803097e-06, + "loss": 0.7085, + "step": 4094 + }, + { + "epoch": 0.78, + "learning_rate": 2.336010702201579e-06, + "loss": 0.7682, + "step": 4095 + }, + { + "epoch": 0.78, + "learning_rate": 2.332025515281975e-06, + "loss": 0.7918, + "step": 4096 + }, + { + "epoch": 0.78, + "learning_rate": 2.3280432818564814e-06, + "loss": 0.3335, + "step": 4097 + }, + { + "epoch": 0.79, + "learning_rate": 2.324064003458939e-06, + "loss": 0.8384, + "step": 4098 + }, + { + "epoch": 0.79, + "learning_rate": 2.320087681622064e-06, + "loss": 0.8233, + "step": 4099 + }, + { + "epoch": 0.79, + "learning_rate": 2.316114317877425e-06, + "loss": 0.7714, + "step": 4100 + }, + { + "epoch": 0.79, + "learning_rate": 2.3121439137554524e-06, + "loss": 0.7741, + "step": 4101 + }, + { + "epoch": 0.79, + "learning_rate": 2.308176470785438e-06, + "loss": 0.8092, + "step": 4102 + }, + { + "epoch": 0.79, + "learning_rate": 2.304211990495533e-06, + "loss": 0.7599, + "step": 4103 + }, + { + "epoch": 0.79, + "learning_rate": 2.3002504744127443e-06, + "loss": 0.7732, + "step": 4104 + }, + { + "epoch": 0.79, + "learning_rate": 2.296291924062941e-06, + "loss": 0.7638, + "step": 4105 + }, + { + "epoch": 0.79, + "learning_rate": 2.29233634097085e-06, + "loss": 0.7252, + "step": 4106 + }, + { + "epoch": 0.79, + "learning_rate": 2.2883837266600517e-06, + "loss": 0.7962, + "step": 4107 + }, + { + "epoch": 0.79, + "learning_rate": 2.284434082652985e-06, + "loss": 0.8101, + "step": 4108 + }, + { + "epoch": 0.79, + "learning_rate": 2.2804874104709464e-06, + "loss": 0.8685, + "step": 4109 + }, + { + "epoch": 0.79, + "learning_rate": 2.2765437116340838e-06, + "loss": 0.76, + "step": 4110 + }, + { + "epoch": 0.79, + "learning_rate": 2.2726029876614044e-06, + "loss": 0.8282, + "step": 4111 + }, + { + "epoch": 0.79, + "learning_rate": 2.2686652400707663e-06, + "loss": 0.8158, + "step": 4112 + }, + { + "epoch": 0.79, + "learning_rate": 2.2647304703788832e-06, + "loss": 0.8025, + "step": 4113 + }, + { + "epoch": 0.79, + "learning_rate": 2.260798680101316e-06, + "loss": 0.7987, + "step": 4114 + }, + { + "epoch": 0.79, + "learning_rate": 2.2568698707524928e-06, + "loss": 0.8164, + "step": 4115 + }, + { + "epoch": 0.79, + "learning_rate": 2.252944043845674e-06, + "loss": 0.7372, + "step": 4116 + }, + { + "epoch": 0.79, + "learning_rate": 2.249021200892982e-06, + "loss": 0.8053, + "step": 4117 + }, + { + "epoch": 0.79, + "learning_rate": 2.245101343405397e-06, + "loss": 0.7318, + "step": 4118 + }, + { + "epoch": 0.79, + "learning_rate": 2.241184472892731e-06, + "loss": 0.8453, + "step": 4119 + }, + { + "epoch": 0.79, + "learning_rate": 2.2372705908636572e-06, + "loss": 0.7949, + "step": 4120 + }, + { + "epoch": 0.79, + "learning_rate": 2.2333596988257e-06, + "loss": 0.7951, + "step": 4121 + }, + { + "epoch": 0.79, + "learning_rate": 2.2294517982852293e-06, + "loss": 0.8173, + "step": 4122 + }, + { + "epoch": 0.79, + "learning_rate": 2.225546890747453e-06, + "loss": 0.7105, + "step": 4123 + }, + { + "epoch": 0.79, + "learning_rate": 2.221644977716443e-06, + "loss": 0.7872, + "step": 4124 + }, + { + "epoch": 0.79, + "learning_rate": 2.2177460606951084e-06, + "loss": 0.7253, + "step": 4125 + }, + { + "epoch": 0.79, + "learning_rate": 2.2138501411851986e-06, + "loss": 0.7617, + "step": 4126 + }, + { + "epoch": 0.79, + "learning_rate": 2.209957220687323e-06, + "loss": 0.813, + "step": 4127 + }, + { + "epoch": 0.79, + "learning_rate": 2.206067300700926e-06, + "loss": 0.7977, + "step": 4128 + }, + { + "epoch": 0.79, + "learning_rate": 2.202180382724299e-06, + "loss": 0.7548, + "step": 4129 + }, + { + "epoch": 0.79, + "learning_rate": 2.1982964682545716e-06, + "loss": 0.7154, + "step": 4130 + }, + { + "epoch": 0.79, + "learning_rate": 2.194415558787727e-06, + "loss": 0.8409, + "step": 4131 + }, + { + "epoch": 0.79, + "learning_rate": 2.1905376558185866e-06, + "loss": 0.7705, + "step": 4132 + }, + { + "epoch": 0.79, + "learning_rate": 2.186662760840803e-06, + "loss": 0.7693, + "step": 4133 + }, + { + "epoch": 0.79, + "learning_rate": 2.1827908753468898e-06, + "loss": 0.7622, + "step": 4134 + }, + { + "epoch": 0.79, + "learning_rate": 2.1789220008281888e-06, + "loss": 0.8078, + "step": 4135 + }, + { + "epoch": 0.79, + "learning_rate": 2.1750561387748823e-06, + "loss": 0.8083, + "step": 4136 + }, + { + "epoch": 0.79, + "learning_rate": 2.1711932906759967e-06, + "loss": 0.7979, + "step": 4137 + }, + { + "epoch": 0.79, + "learning_rate": 2.1673334580193962e-06, + "loss": 0.735, + "step": 4138 + }, + { + "epoch": 0.79, + "learning_rate": 2.1634766422917807e-06, + "loss": 0.7725, + "step": 4139 + }, + { + "epoch": 0.79, + "learning_rate": 2.1596228449786914e-06, + "loss": 0.748, + "step": 4140 + }, + { + "epoch": 0.79, + "learning_rate": 2.1557720675645044e-06, + "loss": 0.8137, + "step": 4141 + }, + { + "epoch": 0.79, + "learning_rate": 2.1519243115324363e-06, + "loss": 0.7738, + "step": 4142 + }, + { + "epoch": 0.79, + "learning_rate": 2.1480795783645347e-06, + "loss": 0.333, + "step": 4143 + }, + { + "epoch": 0.79, + "learning_rate": 2.1442378695416875e-06, + "loss": 0.7858, + "step": 4144 + }, + { + "epoch": 0.79, + "learning_rate": 2.1403991865436123e-06, + "loss": 0.766, + "step": 4145 + }, + { + "epoch": 0.79, + "learning_rate": 2.136563530848874e-06, + "loss": 0.8049, + "step": 4146 + }, + { + "epoch": 0.79, + "learning_rate": 2.1327309039348532e-06, + "loss": 0.7867, + "step": 4147 + }, + { + "epoch": 0.79, + "learning_rate": 2.1289013072777754e-06, + "loss": 0.8125, + "step": 4148 + }, + { + "epoch": 0.79, + "learning_rate": 2.1250747423526976e-06, + "loss": 0.7754, + "step": 4149 + }, + { + "epoch": 0.8, + "learning_rate": 2.121251210633508e-06, + "loss": 0.8057, + "step": 4150 + }, + { + "epoch": 0.8, + "learning_rate": 2.117430713592925e-06, + "loss": 0.8266, + "step": 4151 + }, + { + "epoch": 0.8, + "learning_rate": 2.113613252702499e-06, + "loss": 0.7644, + "step": 4152 + }, + { + "epoch": 0.8, + "learning_rate": 2.109798829432618e-06, + "loss": 0.744, + "step": 4153 + }, + { + "epoch": 0.8, + "learning_rate": 2.105987445252485e-06, + "loss": 0.8062, + "step": 4154 + }, + { + "epoch": 0.8, + "learning_rate": 2.102179101630143e-06, + "loss": 0.8119, + "step": 4155 + }, + { + "epoch": 0.8, + "learning_rate": 2.0983738000324692e-06, + "loss": 0.7679, + "step": 4156 + }, + { + "epoch": 0.8, + "learning_rate": 2.094571541925152e-06, + "loss": 0.7459, + "step": 4157 + }, + { + "epoch": 0.8, + "learning_rate": 2.09077232877272e-06, + "loss": 0.3456, + "step": 4158 + }, + { + "epoch": 0.8, + "learning_rate": 2.0869761620385296e-06, + "loss": 0.8164, + "step": 4159 + }, + { + "epoch": 0.8, + "learning_rate": 2.083183043184761e-06, + "loss": 0.746, + "step": 4160 + }, + { + "epoch": 0.8, + "learning_rate": 2.0793929736724118e-06, + "loss": 0.8136, + "step": 4161 + }, + { + "epoch": 0.8, + "learning_rate": 2.0756059549613217e-06, + "loss": 0.7226, + "step": 4162 + }, + { + "epoch": 0.8, + "learning_rate": 2.0718219885101454e-06, + "loss": 0.7716, + "step": 4163 + }, + { + "epoch": 0.8, + "learning_rate": 2.068041075776357e-06, + "loss": 0.7631, + "step": 4164 + }, + { + "epoch": 0.8, + "learning_rate": 2.064263218216267e-06, + "loss": 0.7762, + "step": 4165 + }, + { + "epoch": 0.8, + "learning_rate": 2.0604884172850014e-06, + "loss": 0.3314, + "step": 4166 + }, + { + "epoch": 0.8, + "learning_rate": 2.05671667443651e-06, + "loss": 0.7615, + "step": 4167 + }, + { + "epoch": 0.8, + "learning_rate": 2.052947991123565e-06, + "loss": 0.7737, + "step": 4168 + }, + { + "epoch": 0.8, + "learning_rate": 2.049182368797761e-06, + "loss": 0.782, + "step": 4169 + }, + { + "epoch": 0.8, + "learning_rate": 2.04541980890951e-06, + "loss": 0.7697, + "step": 4170 + }, + { + "epoch": 0.8, + "learning_rate": 2.04166031290805e-06, + "loss": 0.8005, + "step": 4171 + }, + { + "epoch": 0.8, + "learning_rate": 2.0379038822414365e-06, + "loss": 0.722, + "step": 4172 + }, + { + "epoch": 0.8, + "learning_rate": 2.0341505183565414e-06, + "loss": 0.753, + "step": 4173 + }, + { + "epoch": 0.8, + "learning_rate": 2.0304002226990582e-06, + "loss": 0.8274, + "step": 4174 + }, + { + "epoch": 0.8, + "learning_rate": 2.0266529967134997e-06, + "loss": 0.7802, + "step": 4175 + }, + { + "epoch": 0.8, + "learning_rate": 2.022908841843194e-06, + "loss": 0.6974, + "step": 4176 + }, + { + "epoch": 0.8, + "learning_rate": 2.0191677595302885e-06, + "loss": 0.3396, + "step": 4177 + }, + { + "epoch": 0.8, + "learning_rate": 2.0154297512157438e-06, + "loss": 0.832, + "step": 4178 + }, + { + "epoch": 0.8, + "learning_rate": 2.0116948183393394e-06, + "loss": 0.759, + "step": 4179 + }, + { + "epoch": 0.8, + "learning_rate": 2.007962962339669e-06, + "loss": 0.7143, + "step": 4180 + }, + { + "epoch": 0.8, + "learning_rate": 2.0042341846541425e-06, + "loss": 0.8452, + "step": 4181 + }, + { + "epoch": 0.8, + "learning_rate": 2.0005084867189817e-06, + "loss": 0.7916, + "step": 4182 + }, + { + "epoch": 0.8, + "learning_rate": 1.996785869969222e-06, + "loss": 0.6552, + "step": 4183 + }, + { + "epoch": 0.8, + "learning_rate": 1.9930663358387214e-06, + "loss": 0.7487, + "step": 4184 + }, + { + "epoch": 0.8, + "learning_rate": 1.9893498857601347e-06, + "loss": 0.7688, + "step": 4185 + }, + { + "epoch": 0.8, + "learning_rate": 1.9856365211649363e-06, + "loss": 0.759, + "step": 4186 + }, + { + "epoch": 0.8, + "learning_rate": 1.981926243483422e-06, + "loss": 0.7673, + "step": 4187 + }, + { + "epoch": 0.8, + "learning_rate": 1.978219054144679e-06, + "loss": 0.7472, + "step": 4188 + }, + { + "epoch": 0.8, + "learning_rate": 1.9745149545766174e-06, + "loss": 0.7856, + "step": 4189 + }, + { + "epoch": 0.8, + "learning_rate": 1.9708139462059605e-06, + "loss": 0.8016, + "step": 4190 + }, + { + "epoch": 0.8, + "learning_rate": 1.967116030458234e-06, + "loss": 0.7412, + "step": 4191 + }, + { + "epoch": 0.8, + "learning_rate": 1.9634212087577662e-06, + "loss": 0.7262, + "step": 4192 + }, + { + "epoch": 0.8, + "learning_rate": 1.95972948252771e-06, + "loss": 0.8336, + "step": 4193 + }, + { + "epoch": 0.8, + "learning_rate": 1.9560408531900177e-06, + "loss": 0.7398, + "step": 4194 + }, + { + "epoch": 0.8, + "learning_rate": 1.95235532216544e-06, + "loss": 0.8285, + "step": 4195 + }, + { + "epoch": 0.8, + "learning_rate": 1.948672890873551e-06, + "loss": 0.8222, + "step": 4196 + }, + { + "epoch": 0.8, + "learning_rate": 1.94499356073272e-06, + "loss": 0.7589, + "step": 4197 + }, + { + "epoch": 0.8, + "learning_rate": 1.941317333160122e-06, + "loss": 0.8136, + "step": 4198 + }, + { + "epoch": 0.8, + "learning_rate": 1.937644209571743e-06, + "loss": 0.8038, + "step": 4199 + }, + { + "epoch": 0.8, + "learning_rate": 1.9339741913823673e-06, + "loss": 0.8299, + "step": 4200 + }, + { + "epoch": 0.8, + "learning_rate": 1.9303072800055867e-06, + "loss": 0.7236, + "step": 4201 + }, + { + "epoch": 0.81, + "learning_rate": 1.9266434768537957e-06, + "loss": 0.6927, + "step": 4202 + }, + { + "epoch": 0.81, + "learning_rate": 1.9229827833381885e-06, + "loss": 0.7393, + "step": 4203 + }, + { + "epoch": 0.81, + "learning_rate": 1.919325200868767e-06, + "loss": 0.8269, + "step": 4204 + }, + { + "epoch": 0.81, + "learning_rate": 1.915670730854331e-06, + "loss": 0.7796, + "step": 4205 + }, + { + "epoch": 0.81, + "learning_rate": 1.912019374702482e-06, + "loss": 0.8114, + "step": 4206 + }, + { + "epoch": 0.81, + "learning_rate": 1.908371133819622e-06, + "loss": 0.76, + "step": 4207 + }, + { + "epoch": 0.81, + "learning_rate": 1.9047260096109555e-06, + "loss": 0.8031, + "step": 4208 + }, + { + "epoch": 0.81, + "learning_rate": 1.9010840034804822e-06, + "loss": 0.7731, + "step": 4209 + }, + { + "epoch": 0.81, + "learning_rate": 1.897445116831006e-06, + "loss": 0.7901, + "step": 4210 + }, + { + "epoch": 0.81, + "learning_rate": 1.893809351064123e-06, + "loss": 0.348, + "step": 4211 + }, + { + "epoch": 0.81, + "learning_rate": 1.8901767075802369e-06, + "loss": 0.7808, + "step": 4212 + }, + { + "epoch": 0.81, + "learning_rate": 1.8865471877785368e-06, + "loss": 0.782, + "step": 4213 + }, + { + "epoch": 0.81, + "learning_rate": 1.8829207930570137e-06, + "loss": 0.3368, + "step": 4214 + }, + { + "epoch": 0.81, + "learning_rate": 1.8792975248124645e-06, + "loss": 0.313, + "step": 4215 + }, + { + "epoch": 0.81, + "learning_rate": 1.8756773844404641e-06, + "loss": 0.6915, + "step": 4216 + }, + { + "epoch": 0.81, + "learning_rate": 1.8720603733353916e-06, + "loss": 0.7837, + "step": 4217 + }, + { + "epoch": 0.81, + "learning_rate": 1.8684464928904257e-06, + "loss": 0.3136, + "step": 4218 + }, + { + "epoch": 0.81, + "learning_rate": 1.864835744497535e-06, + "loss": 0.7331, + "step": 4219 + }, + { + "epoch": 0.81, + "learning_rate": 1.8612281295474733e-06, + "loss": 0.8017, + "step": 4220 + }, + { + "epoch": 0.81, + "learning_rate": 1.857623649429804e-06, + "loss": 0.7833, + "step": 4221 + }, + { + "epoch": 0.81, + "learning_rate": 1.854022305532872e-06, + "loss": 0.7902, + "step": 4222 + }, + { + "epoch": 0.81, + "learning_rate": 1.8504240992438093e-06, + "loss": 0.8497, + "step": 4223 + }, + { + "epoch": 0.81, + "learning_rate": 1.846829031948556e-06, + "loss": 0.3247, + "step": 4224 + }, + { + "epoch": 0.81, + "learning_rate": 1.8432371050318332e-06, + "loss": 0.3599, + "step": 4225 + }, + { + "epoch": 0.81, + "learning_rate": 1.839648319877143e-06, + "loss": 0.7771, + "step": 4226 + }, + { + "epoch": 0.81, + "learning_rate": 1.8360626778667977e-06, + "loss": 0.737, + "step": 4227 + }, + { + "epoch": 0.81, + "learning_rate": 1.8324801803818847e-06, + "loss": 0.8365, + "step": 4228 + }, + { + "epoch": 0.81, + "learning_rate": 1.8289008288022846e-06, + "loss": 0.7776, + "step": 4229 + }, + { + "epoch": 0.81, + "learning_rate": 1.8253246245066658e-06, + "loss": 0.8534, + "step": 4230 + }, + { + "epoch": 0.81, + "learning_rate": 1.821751568872484e-06, + "loss": 0.7884, + "step": 4231 + }, + { + "epoch": 0.81, + "learning_rate": 1.8181816632759819e-06, + "loss": 0.808, + "step": 4232 + }, + { + "epoch": 0.81, + "learning_rate": 1.8146149090921906e-06, + "loss": 0.8466, + "step": 4233 + }, + { + "epoch": 0.81, + "learning_rate": 1.8110513076949266e-06, + "loss": 0.7369, + "step": 4234 + }, + { + "epoch": 0.81, + "learning_rate": 1.8074908604567908e-06, + "loss": 0.8062, + "step": 4235 + }, + { + "epoch": 0.81, + "learning_rate": 1.80393356874917e-06, + "loss": 0.7402, + "step": 4236 + }, + { + "epoch": 0.81, + "learning_rate": 1.8003794339422365e-06, + "loss": 0.7911, + "step": 4237 + }, + { + "epoch": 0.81, + "learning_rate": 1.7968284574049456e-06, + "loss": 0.7342, + "step": 4238 + }, + { + "epoch": 0.81, + "learning_rate": 1.793280640505035e-06, + "loss": 0.7987, + "step": 4239 + }, + { + "epoch": 0.81, + "learning_rate": 1.7897359846090301e-06, + "loss": 0.8273, + "step": 4240 + }, + { + "epoch": 0.81, + "learning_rate": 1.7861944910822316e-06, + "loss": 0.7934, + "step": 4241 + }, + { + "epoch": 0.81, + "learning_rate": 1.782656161288726e-06, + "loss": 0.8063, + "step": 4242 + }, + { + "epoch": 0.81, + "learning_rate": 1.779120996591388e-06, + "loss": 0.3133, + "step": 4243 + }, + { + "epoch": 0.81, + "learning_rate": 1.7755889983518582e-06, + "loss": 0.8242, + "step": 4244 + }, + { + "epoch": 0.81, + "learning_rate": 1.772060167930566e-06, + "loss": 0.7689, + "step": 4245 + }, + { + "epoch": 0.81, + "learning_rate": 1.7685345066867287e-06, + "loss": 0.7387, + "step": 4246 + }, + { + "epoch": 0.81, + "learning_rate": 1.7650120159783268e-06, + "loss": 0.7263, + "step": 4247 + }, + { + "epoch": 0.81, + "learning_rate": 1.761492697162127e-06, + "loss": 0.8191, + "step": 4248 + }, + { + "epoch": 0.81, + "learning_rate": 1.7579765515936808e-06, + "loss": 0.7201, + "step": 4249 + }, + { + "epoch": 0.81, + "learning_rate": 1.7544635806273091e-06, + "loss": 0.8046, + "step": 4250 + }, + { + "epoch": 0.81, + "learning_rate": 1.7509537856161074e-06, + "loss": 0.7587, + "step": 4251 + }, + { + "epoch": 0.81, + "learning_rate": 1.7474471679119575e-06, + "loss": 0.798, + "step": 4252 + }, + { + "epoch": 0.81, + "learning_rate": 1.7439437288655147e-06, + "loss": 0.8389, + "step": 4253 + }, + { + "epoch": 0.81, + "learning_rate": 1.7404434698262007e-06, + "loss": 0.7959, + "step": 4254 + }, + { + "epoch": 0.82, + "learning_rate": 1.736946392142226e-06, + "loss": 0.6858, + "step": 4255 + }, + { + "epoch": 0.82, + "learning_rate": 1.733452497160566e-06, + "loss": 0.7333, + "step": 4256 + }, + { + "epoch": 0.82, + "learning_rate": 1.7299617862269759e-06, + "loss": 0.81, + "step": 4257 + }, + { + "epoch": 0.82, + "learning_rate": 1.7264742606859797e-06, + "loss": 0.7783, + "step": 4258 + }, + { + "epoch": 0.82, + "learning_rate": 1.7229899218808777e-06, + "loss": 0.8017, + "step": 4259 + }, + { + "epoch": 0.82, + "learning_rate": 1.7195087711537428e-06, + "loss": 0.7949, + "step": 4260 + }, + { + "epoch": 0.82, + "learning_rate": 1.716030809845418e-06, + "loss": 0.7587, + "step": 4261 + }, + { + "epoch": 0.82, + "learning_rate": 1.7125560392955199e-06, + "loss": 0.7885, + "step": 4262 + }, + { + "epoch": 0.82, + "learning_rate": 1.709084460842435e-06, + "loss": 0.7734, + "step": 4263 + }, + { + "epoch": 0.82, + "learning_rate": 1.7056160758233188e-06, + "loss": 0.7832, + "step": 4264 + }, + { + "epoch": 0.82, + "learning_rate": 1.7021508855740999e-06, + "loss": 0.7401, + "step": 4265 + }, + { + "epoch": 0.82, + "learning_rate": 1.6986888914294753e-06, + "loss": 0.7608, + "step": 4266 + }, + { + "epoch": 0.82, + "learning_rate": 1.6952300947229083e-06, + "loss": 0.8317, + "step": 4267 + }, + { + "epoch": 0.82, + "learning_rate": 1.6917744967866355e-06, + "loss": 0.8375, + "step": 4268 + }, + { + "epoch": 0.82, + "learning_rate": 1.6883220989516569e-06, + "loss": 0.7936, + "step": 4269 + }, + { + "epoch": 0.82, + "learning_rate": 1.6848729025477418e-06, + "loss": 0.722, + "step": 4270 + }, + { + "epoch": 0.82, + "learning_rate": 1.6814269089034274e-06, + "loss": 0.7536, + "step": 4271 + }, + { + "epoch": 0.82, + "learning_rate": 1.6779841193460144e-06, + "loss": 0.8041, + "step": 4272 + }, + { + "epoch": 0.82, + "learning_rate": 1.674544535201571e-06, + "loss": 0.3476, + "step": 4273 + }, + { + "epoch": 0.82, + "learning_rate": 1.6711081577949373e-06, + "loss": 0.778, + "step": 4274 + }, + { + "epoch": 0.82, + "learning_rate": 1.6676749884497044e-06, + "loss": 0.7703, + "step": 4275 + }, + { + "epoch": 0.82, + "learning_rate": 1.664245028488236e-06, + "loss": 0.7914, + "step": 4276 + }, + { + "epoch": 0.82, + "learning_rate": 1.6608182792316652e-06, + "loss": 0.7851, + "step": 4277 + }, + { + "epoch": 0.82, + "learning_rate": 1.6573947419998748e-06, + "loss": 0.7969, + "step": 4278 + }, + { + "epoch": 0.82, + "learning_rate": 1.6539744181115192e-06, + "loss": 0.8474, + "step": 4279 + }, + { + "epoch": 0.82, + "learning_rate": 1.6505573088840166e-06, + "loss": 0.7736, + "step": 4280 + }, + { + "epoch": 0.82, + "learning_rate": 1.6471434156335452e-06, + "loss": 0.7762, + "step": 4281 + }, + { + "epoch": 0.82, + "learning_rate": 1.6437327396750358e-06, + "loss": 0.3188, + "step": 4282 + }, + { + "epoch": 0.82, + "learning_rate": 1.6403252823221948e-06, + "loss": 0.8065, + "step": 4283 + }, + { + "epoch": 0.82, + "learning_rate": 1.6369210448874818e-06, + "loss": 0.7924, + "step": 4284 + }, + { + "epoch": 0.82, + "learning_rate": 1.6335200286821073e-06, + "loss": 0.737, + "step": 4285 + }, + { + "epoch": 0.82, + "learning_rate": 1.6301222350160595e-06, + "loss": 0.8399, + "step": 4286 + }, + { + "epoch": 0.82, + "learning_rate": 1.6267276651980711e-06, + "loss": 0.7781, + "step": 4287 + }, + { + "epoch": 0.82, + "learning_rate": 1.6233363205356402e-06, + "loss": 0.8411, + "step": 4288 + }, + { + "epoch": 0.82, + "learning_rate": 1.6199482023350167e-06, + "loss": 0.7327, + "step": 4289 + }, + { + "epoch": 0.82, + "learning_rate": 1.6165633119012125e-06, + "loss": 0.7832, + "step": 4290 + }, + { + "epoch": 0.82, + "learning_rate": 1.6131816505379949e-06, + "loss": 0.8036, + "step": 4291 + }, + { + "epoch": 0.82, + "learning_rate": 1.6098032195478873e-06, + "loss": 0.8418, + "step": 4292 + }, + { + "epoch": 0.82, + "learning_rate": 1.6064280202321702e-06, + "loss": 0.7581, + "step": 4293 + }, + { + "epoch": 0.82, + "learning_rate": 1.6030560538908757e-06, + "loss": 0.7399, + "step": 4294 + }, + { + "epoch": 0.82, + "learning_rate": 1.5996873218227949e-06, + "loss": 0.7794, + "step": 4295 + }, + { + "epoch": 0.82, + "learning_rate": 1.5963218253254709e-06, + "loss": 0.7912, + "step": 4296 + }, + { + "epoch": 0.82, + "learning_rate": 1.5929595656952012e-06, + "loss": 0.8574, + "step": 4297 + }, + { + "epoch": 0.82, + "learning_rate": 1.5896005442270345e-06, + "loss": 0.7712, + "step": 4298 + }, + { + "epoch": 0.82, + "learning_rate": 1.586244762214776e-06, + "loss": 0.7468, + "step": 4299 + }, + { + "epoch": 0.82, + "learning_rate": 1.5828922209509811e-06, + "loss": 0.7259, + "step": 4300 + }, + { + "epoch": 0.82, + "learning_rate": 1.5795429217269553e-06, + "loss": 0.7039, + "step": 4301 + }, + { + "epoch": 0.82, + "learning_rate": 1.5761968658327588e-06, + "loss": 0.7743, + "step": 4302 + }, + { + "epoch": 0.82, + "learning_rate": 1.5728540545572003e-06, + "loss": 0.774, + "step": 4303 + }, + { + "epoch": 0.82, + "learning_rate": 1.5695144891878367e-06, + "loss": 0.7883, + "step": 4304 + }, + { + "epoch": 0.82, + "learning_rate": 1.5661781710109846e-06, + "loss": 0.7711, + "step": 4305 + }, + { + "epoch": 0.82, + "learning_rate": 1.5628451013116951e-06, + "loss": 0.76, + "step": 4306 + }, + { + "epoch": 0.83, + "learning_rate": 1.5595152813737756e-06, + "loss": 0.7919, + "step": 4307 + }, + { + "epoch": 0.83, + "learning_rate": 1.5561887124797903e-06, + "loss": 0.3382, + "step": 4308 + }, + { + "epoch": 0.83, + "learning_rate": 1.552865395911033e-06, + "loss": 0.7303, + "step": 4309 + }, + { + "epoch": 0.83, + "learning_rate": 1.5495453329475563e-06, + "loss": 0.7492, + "step": 4310 + }, + { + "epoch": 0.83, + "learning_rate": 1.5462285248681607e-06, + "loss": 0.8353, + "step": 4311 + }, + { + "epoch": 0.83, + "learning_rate": 1.5429149729503913e-06, + "loss": 0.8074, + "step": 4312 + }, + { + "epoch": 0.83, + "learning_rate": 1.539604678470531e-06, + "loss": 0.79, + "step": 4313 + }, + { + "epoch": 0.83, + "learning_rate": 1.5362976427036202e-06, + "loss": 0.7753, + "step": 4314 + }, + { + "epoch": 0.83, + "learning_rate": 1.5329938669234401e-06, + "loss": 0.7801, + "step": 4315 + }, + { + "epoch": 0.83, + "learning_rate": 1.529693352402507e-06, + "loss": 0.7665, + "step": 4316 + }, + { + "epoch": 0.83, + "learning_rate": 1.5263961004120952e-06, + "loss": 0.8465, + "step": 4317 + }, + { + "epoch": 0.83, + "learning_rate": 1.5231021122222156e-06, + "loss": 0.7824, + "step": 4318 + }, + { + "epoch": 0.83, + "learning_rate": 1.5198113891016208e-06, + "loss": 0.7386, + "step": 4319 + }, + { + "epoch": 0.83, + "learning_rate": 1.5165239323178082e-06, + "loss": 0.3621, + "step": 4320 + }, + { + "epoch": 0.83, + "learning_rate": 1.513239743137015e-06, + "loss": 0.3362, + "step": 4321 + }, + { + "epoch": 0.83, + "learning_rate": 1.5099588228242235e-06, + "loss": 0.7223, + "step": 4322 + }, + { + "epoch": 0.83, + "learning_rate": 1.506681172643152e-06, + "loss": 0.7018, + "step": 4323 + }, + { + "epoch": 0.83, + "learning_rate": 1.5034067938562625e-06, + "loss": 0.7598, + "step": 4324 + }, + { + "epoch": 0.83, + "learning_rate": 1.5001356877247563e-06, + "loss": 0.7691, + "step": 4325 + }, + { + "epoch": 0.83, + "learning_rate": 1.4968678555085747e-06, + "loss": 0.8127, + "step": 4326 + }, + { + "epoch": 0.83, + "learning_rate": 1.4936032984663974e-06, + "loss": 0.7535, + "step": 4327 + }, + { + "epoch": 0.83, + "learning_rate": 1.4903420178556405e-06, + "loss": 0.7675, + "step": 4328 + }, + { + "epoch": 0.83, + "learning_rate": 1.4870840149324617e-06, + "loss": 0.7725, + "step": 4329 + }, + { + "epoch": 0.83, + "learning_rate": 1.4838292909517548e-06, + "loss": 0.8286, + "step": 4330 + }, + { + "epoch": 0.83, + "learning_rate": 1.4805778471671506e-06, + "loss": 0.7525, + "step": 4331 + }, + { + "epoch": 0.83, + "learning_rate": 1.4773296848310138e-06, + "loss": 0.8115, + "step": 4332 + }, + { + "epoch": 0.83, + "learning_rate": 1.4740848051944534e-06, + "loss": 0.8153, + "step": 4333 + }, + { + "epoch": 0.83, + "learning_rate": 1.4708432095073021e-06, + "loss": 0.7369, + "step": 4334 + }, + { + "epoch": 0.83, + "learning_rate": 1.4676048990181346e-06, + "loss": 0.7433, + "step": 4335 + }, + { + "epoch": 0.83, + "learning_rate": 1.4643698749742663e-06, + "loss": 0.76, + "step": 4336 + }, + { + "epoch": 0.83, + "learning_rate": 1.4611381386217327e-06, + "loss": 0.7526, + "step": 4337 + }, + { + "epoch": 0.83, + "learning_rate": 1.4579096912053114e-06, + "loss": 0.8094, + "step": 4338 + }, + { + "epoch": 0.83, + "learning_rate": 1.4546845339685146e-06, + "loss": 0.762, + "step": 4339 + }, + { + "epoch": 0.83, + "learning_rate": 1.451462668153586e-06, + "loss": 0.7706, + "step": 4340 + }, + { + "epoch": 0.83, + "learning_rate": 1.448244095001493e-06, + "loss": 0.8431, + "step": 4341 + }, + { + "epoch": 0.83, + "learning_rate": 1.4450288157519499e-06, + "loss": 0.8177, + "step": 4342 + }, + { + "epoch": 0.83, + "learning_rate": 1.4418168316433923e-06, + "loss": 0.7714, + "step": 4343 + }, + { + "epoch": 0.83, + "learning_rate": 1.438608143912984e-06, + "loss": 0.6799, + "step": 4344 + }, + { + "epoch": 0.83, + "learning_rate": 1.4354027537966285e-06, + "loss": 0.7425, + "step": 4345 + }, + { + "epoch": 0.83, + "learning_rate": 1.4322006625289563e-06, + "loss": 0.7464, + "step": 4346 + }, + { + "epoch": 0.83, + "learning_rate": 1.4290018713433174e-06, + "loss": 0.7693, + "step": 4347 + }, + { + "epoch": 0.83, + "learning_rate": 1.425806381471806e-06, + "loss": 0.7567, + "step": 4348 + }, + { + "epoch": 0.83, + "learning_rate": 1.4226141941452354e-06, + "loss": 0.7366, + "step": 4349 + }, + { + "epoch": 0.83, + "learning_rate": 1.4194253105931478e-06, + "loss": 0.8299, + "step": 4350 + }, + { + "epoch": 0.83, + "learning_rate": 1.416239732043815e-06, + "loss": 0.8251, + "step": 4351 + }, + { + "epoch": 0.83, + "learning_rate": 1.4130574597242342e-06, + "loss": 0.7702, + "step": 4352 + }, + { + "epoch": 0.83, + "learning_rate": 1.4098784948601308e-06, + "loss": 0.7912, + "step": 4353 + }, + { + "epoch": 0.83, + "learning_rate": 1.406702838675953e-06, + "loss": 0.7144, + "step": 4354 + }, + { + "epoch": 0.83, + "learning_rate": 1.403530492394879e-06, + "loss": 0.839, + "step": 4355 + }, + { + "epoch": 0.83, + "learning_rate": 1.400361457238808e-06, + "loss": 0.7558, + "step": 4356 + }, + { + "epoch": 0.83, + "learning_rate": 1.3971957344283671e-06, + "loss": 0.7528, + "step": 4357 + }, + { + "epoch": 0.83, + "learning_rate": 1.3940333251829053e-06, + "loss": 0.8269, + "step": 4358 + }, + { + "epoch": 0.84, + "learning_rate": 1.390874230720497e-06, + "loss": 0.751, + "step": 4359 + }, + { + "epoch": 0.84, + "learning_rate": 1.387718452257938e-06, + "loss": 0.7677, + "step": 4360 + }, + { + "epoch": 0.84, + "learning_rate": 1.3845659910107478e-06, + "loss": 0.8127, + "step": 4361 + }, + { + "epoch": 0.84, + "learning_rate": 1.38141684819317e-06, + "loss": 0.7958, + "step": 4362 + }, + { + "epoch": 0.84, + "learning_rate": 1.378271025018164e-06, + "loss": 0.7959, + "step": 4363 + }, + { + "epoch": 0.84, + "learning_rate": 1.375128522697423e-06, + "loss": 0.755, + "step": 4364 + }, + { + "epoch": 0.84, + "learning_rate": 1.3719893424413455e-06, + "loss": 0.7653, + "step": 4365 + }, + { + "epoch": 0.84, + "learning_rate": 1.3688534854590585e-06, + "loss": 0.3316, + "step": 4366 + }, + { + "epoch": 0.84, + "learning_rate": 1.3657209529584147e-06, + "loss": 0.8068, + "step": 4367 + }, + { + "epoch": 0.84, + "learning_rate": 1.3625917461459726e-06, + "loss": 0.8015, + "step": 4368 + }, + { + "epoch": 0.84, + "learning_rate": 1.3594658662270187e-06, + "loss": 0.7996, + "step": 4369 + }, + { + "epoch": 0.84, + "learning_rate": 1.3563433144055594e-06, + "loss": 0.8109, + "step": 4370 + }, + { + "epoch": 0.84, + "learning_rate": 1.3532240918843175e-06, + "loss": 0.7401, + "step": 4371 + }, + { + "epoch": 0.84, + "learning_rate": 1.3501081998647236e-06, + "loss": 0.7851, + "step": 4372 + }, + { + "epoch": 0.84, + "learning_rate": 1.346995639546943e-06, + "loss": 0.7554, + "step": 4373 + }, + { + "epoch": 0.84, + "learning_rate": 1.3438864121298489e-06, + "loss": 0.7877, + "step": 4374 + }, + { + "epoch": 0.84, + "learning_rate": 1.3407805188110224e-06, + "loss": 0.7964, + "step": 4375 + }, + { + "epoch": 0.84, + "learning_rate": 1.3376779607867752e-06, + "loss": 0.8603, + "step": 4376 + }, + { + "epoch": 0.84, + "learning_rate": 1.334578739252127e-06, + "loss": 0.7526, + "step": 4377 + }, + { + "epoch": 0.84, + "learning_rate": 1.331482855400813e-06, + "loss": 0.7546, + "step": 4378 + }, + { + "epoch": 0.84, + "learning_rate": 1.3283903104252815e-06, + "loss": 0.8084, + "step": 4379 + }, + { + "epoch": 0.84, + "learning_rate": 1.3253011055166987e-06, + "loss": 0.8251, + "step": 4380 + }, + { + "epoch": 0.84, + "learning_rate": 1.3222152418649404e-06, + "loss": 0.7954, + "step": 4381 + }, + { + "epoch": 0.84, + "learning_rate": 1.3191327206585968e-06, + "loss": 0.7364, + "step": 4382 + }, + { + "epoch": 0.84, + "learning_rate": 1.3160535430849709e-06, + "loss": 0.7504, + "step": 4383 + }, + { + "epoch": 0.84, + "learning_rate": 1.3129777103300777e-06, + "loss": 0.79, + "step": 4384 + }, + { + "epoch": 0.84, + "learning_rate": 1.3099052235786435e-06, + "loss": 0.8042, + "step": 4385 + }, + { + "epoch": 0.84, + "learning_rate": 1.3068360840141081e-06, + "loss": 0.7145, + "step": 4386 + }, + { + "epoch": 0.84, + "learning_rate": 1.303770292818618e-06, + "loss": 0.7901, + "step": 4387 + }, + { + "epoch": 0.84, + "learning_rate": 1.300707851173033e-06, + "loss": 0.7627, + "step": 4388 + }, + { + "epoch": 0.84, + "learning_rate": 1.2976487602569222e-06, + "loss": 0.7436, + "step": 4389 + }, + { + "epoch": 0.84, + "learning_rate": 1.2945930212485625e-06, + "loss": 0.8211, + "step": 4390 + }, + { + "epoch": 0.84, + "learning_rate": 1.2915406353249428e-06, + "loss": 0.7602, + "step": 4391 + }, + { + "epoch": 0.84, + "learning_rate": 1.2884916036617567e-06, + "loss": 0.7727, + "step": 4392 + }, + { + "epoch": 0.84, + "learning_rate": 1.2854459274334097e-06, + "loss": 0.745, + "step": 4393 + }, + { + "epoch": 0.84, + "learning_rate": 1.2824036078130098e-06, + "loss": 0.7827, + "step": 4394 + }, + { + "epoch": 0.84, + "learning_rate": 1.279364645972383e-06, + "loss": 0.7602, + "step": 4395 + }, + { + "epoch": 0.84, + "learning_rate": 1.2763290430820453e-06, + "loss": 0.7802, + "step": 4396 + }, + { + "epoch": 0.84, + "learning_rate": 1.27329680031123e-06, + "loss": 0.7048, + "step": 4397 + }, + { + "epoch": 0.84, + "learning_rate": 1.2702679188278811e-06, + "loss": 0.7661, + "step": 4398 + }, + { + "epoch": 0.84, + "learning_rate": 1.2672423997986327e-06, + "loss": 0.8219, + "step": 4399 + }, + { + "epoch": 0.84, + "learning_rate": 1.2642202443888329e-06, + "loss": 0.8044, + "step": 4400 + }, + { + "epoch": 0.84, + "learning_rate": 1.2612014537625371e-06, + "loss": 0.7132, + "step": 4401 + }, + { + "epoch": 0.84, + "learning_rate": 1.2581860290825022e-06, + "loss": 0.7641, + "step": 4402 + }, + { + "epoch": 0.84, + "learning_rate": 1.2551739715101785e-06, + "loss": 0.8024, + "step": 4403 + }, + { + "epoch": 0.84, + "learning_rate": 1.2521652822057372e-06, + "loss": 0.7743, + "step": 4404 + }, + { + "epoch": 0.84, + "learning_rate": 1.2491599623280426e-06, + "loss": 0.7918, + "step": 4405 + }, + { + "epoch": 0.84, + "learning_rate": 1.246158013034654e-06, + "loss": 0.7382, + "step": 4406 + }, + { + "epoch": 0.84, + "learning_rate": 1.2431594354818478e-06, + "loss": 0.7962, + "step": 4407 + }, + { + "epoch": 0.84, + "learning_rate": 1.2401642308245909e-06, + "loss": 0.7253, + "step": 4408 + }, + { + "epoch": 0.84, + "learning_rate": 1.2371724002165563e-06, + "loss": 0.7373, + "step": 4409 + }, + { + "epoch": 0.84, + "learning_rate": 1.2341839448101122e-06, + "loss": 0.741, + "step": 4410 + }, + { + "epoch": 0.85, + "learning_rate": 1.2311988657563335e-06, + "loss": 0.7887, + "step": 4411 + }, + { + "epoch": 0.85, + "learning_rate": 1.2282171642049879e-06, + "loss": 0.8055, + "step": 4412 + }, + { + "epoch": 0.85, + "learning_rate": 1.2252388413045468e-06, + "loss": 0.774, + "step": 4413 + }, + { + "epoch": 0.85, + "learning_rate": 1.2222638982021794e-06, + "loss": 0.7683, + "step": 4414 + }, + { + "epoch": 0.85, + "learning_rate": 1.2192923360437504e-06, + "loss": 0.7333, + "step": 4415 + }, + { + "epoch": 0.85, + "learning_rate": 1.216324155973827e-06, + "loss": 0.7805, + "step": 4416 + }, + { + "epoch": 0.85, + "learning_rate": 1.2133593591356686e-06, + "loss": 0.745, + "step": 4417 + }, + { + "epoch": 0.85, + "learning_rate": 1.2103979466712345e-06, + "loss": 0.7518, + "step": 4418 + }, + { + "epoch": 0.85, + "learning_rate": 1.2074399197211805e-06, + "loss": 0.7524, + "step": 4419 + }, + { + "epoch": 0.85, + "learning_rate": 1.2044852794248575e-06, + "loss": 0.7761, + "step": 4420 + }, + { + "epoch": 0.85, + "learning_rate": 1.2015340269203113e-06, + "loss": 0.7398, + "step": 4421 + }, + { + "epoch": 0.85, + "learning_rate": 1.198586163344282e-06, + "loss": 0.8166, + "step": 4422 + }, + { + "epoch": 0.85, + "learning_rate": 1.1956416898322132e-06, + "loss": 0.7766, + "step": 4423 + }, + { + "epoch": 0.85, + "learning_rate": 1.192700607518229e-06, + "loss": 0.794, + "step": 4424 + }, + { + "epoch": 0.85, + "learning_rate": 1.1897629175351532e-06, + "loss": 0.779, + "step": 4425 + }, + { + "epoch": 0.85, + "learning_rate": 1.1868286210145096e-06, + "loss": 0.7829, + "step": 4426 + }, + { + "epoch": 0.85, + "learning_rate": 1.1838977190865042e-06, + "loss": 0.7882, + "step": 4427 + }, + { + "epoch": 0.85, + "learning_rate": 1.1809702128800392e-06, + "loss": 0.3461, + "step": 4428 + }, + { + "epoch": 0.85, + "learning_rate": 1.1780461035227164e-06, + "loss": 0.3408, + "step": 4429 + }, + { + "epoch": 0.85, + "learning_rate": 1.1751253921408169e-06, + "loss": 0.8018, + "step": 4430 + }, + { + "epoch": 0.85, + "learning_rate": 1.1722080798593183e-06, + "loss": 0.822, + "step": 4431 + }, + { + "epoch": 0.85, + "learning_rate": 1.1692941678018942e-06, + "loss": 0.7724, + "step": 4432 + }, + { + "epoch": 0.85, + "learning_rate": 1.1663836570909037e-06, + "loss": 0.7525, + "step": 4433 + }, + { + "epoch": 0.85, + "learning_rate": 1.1634765488473887e-06, + "loss": 0.7619, + "step": 4434 + }, + { + "epoch": 0.85, + "learning_rate": 1.1605728441910956e-06, + "loss": 0.7445, + "step": 4435 + }, + { + "epoch": 0.85, + "learning_rate": 1.1576725442404514e-06, + "loss": 0.7711, + "step": 4436 + }, + { + "epoch": 0.85, + "learning_rate": 1.1547756501125661e-06, + "loss": 0.7643, + "step": 4437 + }, + { + "epoch": 0.85, + "learning_rate": 1.1518821629232503e-06, + "loss": 0.8022, + "step": 4438 + }, + { + "epoch": 0.85, + "learning_rate": 1.148992083786995e-06, + "loss": 0.7905, + "step": 4439 + }, + { + "epoch": 0.85, + "learning_rate": 1.146105413816977e-06, + "loss": 0.8111, + "step": 4440 + }, + { + "epoch": 0.85, + "learning_rate": 1.1432221541250655e-06, + "loss": 0.7988, + "step": 4441 + }, + { + "epoch": 0.85, + "learning_rate": 1.140342305821812e-06, + "loss": 0.778, + "step": 4442 + }, + { + "epoch": 0.85, + "learning_rate": 1.1374658700164553e-06, + "loss": 0.7598, + "step": 4443 + }, + { + "epoch": 0.85, + "learning_rate": 1.134592847816921e-06, + "loss": 0.8009, + "step": 4444 + }, + { + "epoch": 0.85, + "learning_rate": 1.1317232403298172e-06, + "loss": 0.7645, + "step": 4445 + }, + { + "epoch": 0.85, + "learning_rate": 1.128857048660439e-06, + "loss": 0.7807, + "step": 4446 + }, + { + "epoch": 0.85, + "learning_rate": 1.1259942739127637e-06, + "loss": 0.7601, + "step": 4447 + }, + { + "epoch": 0.85, + "learning_rate": 1.1231349171894557e-06, + "loss": 0.7372, + "step": 4448 + }, + { + "epoch": 0.85, + "learning_rate": 1.120278979591861e-06, + "loss": 0.8205, + "step": 4449 + }, + { + "epoch": 0.85, + "learning_rate": 1.117426462220007e-06, + "loss": 0.7491, + "step": 4450 + }, + { + "epoch": 0.85, + "learning_rate": 1.1145773661726066e-06, + "loss": 0.7821, + "step": 4451 + }, + { + "epoch": 0.85, + "learning_rate": 1.1117316925470544e-06, + "loss": 0.7712, + "step": 4452 + }, + { + "epoch": 0.85, + "learning_rate": 1.1088894424394226e-06, + "loss": 0.8182, + "step": 4453 + }, + { + "epoch": 0.85, + "learning_rate": 1.106050616944475e-06, + "loss": 0.7781, + "step": 4454 + }, + { + "epoch": 0.85, + "learning_rate": 1.1032152171556433e-06, + "loss": 0.7811, + "step": 4455 + }, + { + "epoch": 0.85, + "learning_rate": 1.1003832441650453e-06, + "loss": 0.8119, + "step": 4456 + }, + { + "epoch": 0.85, + "learning_rate": 1.0975546990634866e-06, + "loss": 0.7881, + "step": 4457 + }, + { + "epoch": 0.85, + "learning_rate": 1.0947295829404404e-06, + "loss": 0.3246, + "step": 4458 + }, + { + "epoch": 0.85, + "learning_rate": 1.0919078968840613e-06, + "loss": 0.8186, + "step": 4459 + }, + { + "epoch": 0.85, + "learning_rate": 1.0890896419811914e-06, + "loss": 0.7102, + "step": 4460 + }, + { + "epoch": 0.85, + "learning_rate": 1.0862748193173467e-06, + "loss": 0.328, + "step": 4461 + }, + { + "epoch": 0.85, + "learning_rate": 1.083463429976711e-06, + "loss": 0.3503, + "step": 4462 + }, + { + "epoch": 0.86, + "learning_rate": 1.0806554750421628e-06, + "loss": 0.6829, + "step": 4463 + }, + { + "epoch": 0.86, + "learning_rate": 1.0778509555952488e-06, + "loss": 0.7515, + "step": 4464 + }, + { + "epoch": 0.86, + "learning_rate": 1.0750498727161862e-06, + "loss": 0.7996, + "step": 4465 + }, + { + "epoch": 0.86, + "learning_rate": 1.0722522274838842e-06, + "loss": 0.3343, + "step": 4466 + }, + { + "epoch": 0.86, + "learning_rate": 1.0694580209759165e-06, + "loss": 0.8002, + "step": 4467 + }, + { + "epoch": 0.86, + "learning_rate": 1.0666672542685307e-06, + "loss": 0.8081, + "step": 4468 + }, + { + "epoch": 0.86, + "learning_rate": 1.0638799284366596e-06, + "loss": 0.7913, + "step": 4469 + }, + { + "epoch": 0.86, + "learning_rate": 1.061096044553902e-06, + "loss": 0.8257, + "step": 4470 + }, + { + "epoch": 0.86, + "learning_rate": 1.0583156036925346e-06, + "loss": 0.715, + "step": 4471 + }, + { + "epoch": 0.86, + "learning_rate": 1.0555386069235075e-06, + "loss": 0.8179, + "step": 4472 + }, + { + "epoch": 0.86, + "learning_rate": 1.0527650553164425e-06, + "loss": 0.786, + "step": 4473 + }, + { + "epoch": 0.86, + "learning_rate": 1.04999494993964e-06, + "loss": 0.7618, + "step": 4474 + }, + { + "epoch": 0.86, + "learning_rate": 1.0472282918600617e-06, + "loss": 0.762, + "step": 4475 + }, + { + "epoch": 0.86, + "learning_rate": 1.0444650821433532e-06, + "loss": 0.7978, + "step": 4476 + }, + { + "epoch": 0.86, + "learning_rate": 1.0417053218538287e-06, + "loss": 0.7556, + "step": 4477 + }, + { + "epoch": 0.86, + "learning_rate": 1.0389490120544687e-06, + "loss": 0.8034, + "step": 4478 + }, + { + "epoch": 0.86, + "learning_rate": 1.0361961538069309e-06, + "loss": 0.7489, + "step": 4479 + }, + { + "epoch": 0.86, + "learning_rate": 1.0334467481715404e-06, + "loss": 0.7574, + "step": 4480 + }, + { + "epoch": 0.86, + "learning_rate": 1.0307007962072923e-06, + "loss": 0.7939, + "step": 4481 + }, + { + "epoch": 0.86, + "learning_rate": 1.027958298971854e-06, + "loss": 0.7522, + "step": 4482 + }, + { + "epoch": 0.86, + "learning_rate": 1.025219257521558e-06, + "loss": 0.7814, + "step": 4483 + }, + { + "epoch": 0.86, + "learning_rate": 1.0224836729114085e-06, + "loss": 0.7275, + "step": 4484 + }, + { + "epoch": 0.86, + "learning_rate": 1.0197515461950824e-06, + "loss": 0.7392, + "step": 4485 + }, + { + "epoch": 0.86, + "learning_rate": 1.0170228784249149e-06, + "loss": 0.8125, + "step": 4486 + }, + { + "epoch": 0.86, + "learning_rate": 1.0142976706519136e-06, + "loss": 0.7105, + "step": 4487 + }, + { + "epoch": 0.86, + "learning_rate": 1.0115759239257606e-06, + "loss": 0.7459, + "step": 4488 + }, + { + "epoch": 0.86, + "learning_rate": 1.0088576392947924e-06, + "loss": 0.7421, + "step": 4489 + }, + { + "epoch": 0.86, + "learning_rate": 1.0061428178060173e-06, + "loss": 0.8116, + "step": 4490 + }, + { + "epoch": 0.86, + "learning_rate": 1.0034314605051143e-06, + "loss": 0.691, + "step": 4491 + }, + { + "epoch": 0.86, + "learning_rate": 1.0007235684364248e-06, + "loss": 0.8135, + "step": 4492 + }, + { + "epoch": 0.86, + "learning_rate": 9.980191426429486e-07, + "loss": 0.7254, + "step": 4493 + }, + { + "epoch": 0.86, + "learning_rate": 9.95318184166363e-07, + "loss": 0.8077, + "step": 4494 + }, + { + "epoch": 0.86, + "learning_rate": 9.926206940470018e-07, + "loss": 0.7703, + "step": 4495 + }, + { + "epoch": 0.86, + "learning_rate": 9.89926673323861e-07, + "loss": 0.7168, + "step": 4496 + }, + { + "epoch": 0.86, + "learning_rate": 9.87236123034605e-07, + "loss": 0.778, + "step": 4497 + }, + { + "epoch": 0.86, + "learning_rate": 9.845490442155626e-07, + "loss": 0.8058, + "step": 4498 + }, + { + "epoch": 0.86, + "learning_rate": 9.818654379017245e-07, + "loss": 0.7854, + "step": 4499 + }, + { + "epoch": 0.86, + "learning_rate": 9.791853051267352e-07, + "loss": 0.8292, + "step": 4500 + }, + { + "epoch": 0.86, + "learning_rate": 9.765086469229158e-07, + "loss": 0.7361, + "step": 4501 + }, + { + "epoch": 0.86, + "learning_rate": 9.73835464321241e-07, + "loss": 0.8037, + "step": 4502 + }, + { + "epoch": 0.86, + "learning_rate": 9.711657583513412e-07, + "loss": 0.7879, + "step": 4503 + }, + { + "epoch": 0.86, + "learning_rate": 9.684995300415212e-07, + "loss": 0.7731, + "step": 4504 + }, + { + "epoch": 0.86, + "learning_rate": 9.658367804187385e-07, + "loss": 0.8253, + "step": 4505 + }, + { + "epoch": 0.86, + "learning_rate": 9.631775105086061e-07, + "loss": 0.7898, + "step": 4506 + }, + { + "epoch": 0.86, + "learning_rate": 9.60521721335408e-07, + "loss": 0.7455, + "step": 4507 + }, + { + "epoch": 0.86, + "learning_rate": 9.57869413922079e-07, + "loss": 0.8127, + "step": 4508 + }, + { + "epoch": 0.86, + "learning_rate": 9.552205892902155e-07, + "loss": 0.7747, + "step": 4509 + }, + { + "epoch": 0.86, + "learning_rate": 9.525752484600737e-07, + "loss": 0.7606, + "step": 4510 + }, + { + "epoch": 0.86, + "learning_rate": 9.499333924505638e-07, + "loss": 0.3363, + "step": 4511 + }, + { + "epoch": 0.86, + "learning_rate": 9.472950222792588e-07, + "loss": 0.7256, + "step": 4512 + }, + { + "epoch": 0.86, + "learning_rate": 9.446601389623866e-07, + "loss": 0.7705, + "step": 4513 + }, + { + "epoch": 0.86, + "learning_rate": 9.420287435148301e-07, + "loss": 0.8177, + "step": 4514 + }, + { + "epoch": 0.86, + "learning_rate": 9.394008369501317e-07, + "loss": 0.7736, + "step": 4515 + }, + { + "epoch": 0.87, + "learning_rate": 9.367764202804929e-07, + "loss": 0.7305, + "step": 4516 + }, + { + "epoch": 0.87, + "learning_rate": 9.341554945167631e-07, + "loss": 0.7461, + "step": 4517 + }, + { + "epoch": 0.87, + "learning_rate": 9.315380606684521e-07, + "loss": 0.7572, + "step": 4518 + }, + { + "epoch": 0.87, + "learning_rate": 9.289241197437238e-07, + "loss": 0.7638, + "step": 4519 + }, + { + "epoch": 0.87, + "learning_rate": 9.263136727493982e-07, + "loss": 0.7973, + "step": 4520 + }, + { + "epoch": 0.87, + "learning_rate": 9.237067206909456e-07, + "loss": 0.7281, + "step": 4521 + }, + { + "epoch": 0.87, + "learning_rate": 9.211032645724927e-07, + "loss": 0.7907, + "step": 4522 + }, + { + "epoch": 0.87, + "learning_rate": 9.185033053968239e-07, + "loss": 0.8168, + "step": 4523 + }, + { + "epoch": 0.87, + "learning_rate": 9.159068441653685e-07, + "loss": 0.7539, + "step": 4524 + }, + { + "epoch": 0.87, + "learning_rate": 9.133138818782117e-07, + "loss": 0.7321, + "step": 4525 + }, + { + "epoch": 0.87, + "learning_rate": 9.107244195340959e-07, + "loss": 0.7984, + "step": 4526 + }, + { + "epoch": 0.87, + "learning_rate": 9.081384581304076e-07, + "loss": 0.8456, + "step": 4527 + }, + { + "epoch": 0.87, + "learning_rate": 9.055559986631878e-07, + "loss": 0.783, + "step": 4528 + }, + { + "epoch": 0.87, + "learning_rate": 9.029770421271323e-07, + "loss": 0.7238, + "step": 4529 + }, + { + "epoch": 0.87, + "learning_rate": 9.004015895155838e-07, + "loss": 0.7933, + "step": 4530 + }, + { + "epoch": 0.87, + "learning_rate": 8.978296418205335e-07, + "loss": 0.8145, + "step": 4531 + }, + { + "epoch": 0.87, + "learning_rate": 8.952612000326289e-07, + "loss": 0.7628, + "step": 4532 + }, + { + "epoch": 0.87, + "learning_rate": 8.926962651411641e-07, + "loss": 0.8059, + "step": 4533 + }, + { + "epoch": 0.87, + "learning_rate": 8.901348381340758e-07, + "loss": 0.8345, + "step": 4534 + }, + { + "epoch": 0.87, + "learning_rate": 8.875769199979623e-07, + "loss": 0.832, + "step": 4535 + }, + { + "epoch": 0.87, + "learning_rate": 8.850225117180599e-07, + "loss": 0.7768, + "step": 4536 + }, + { + "epoch": 0.87, + "learning_rate": 8.824716142782597e-07, + "loss": 0.7941, + "step": 4537 + }, + { + "epoch": 0.87, + "learning_rate": 8.799242286610943e-07, + "loss": 0.8093, + "step": 4538 + }, + { + "epoch": 0.87, + "learning_rate": 8.7738035584775e-07, + "loss": 0.8224, + "step": 4539 + }, + { + "epoch": 0.87, + "learning_rate": 8.748399968180554e-07, + "loss": 0.3656, + "step": 4540 + }, + { + "epoch": 0.87, + "learning_rate": 8.723031525504877e-07, + "loss": 0.7862, + "step": 4541 + }, + { + "epoch": 0.87, + "learning_rate": 8.697698240221697e-07, + "loss": 0.773, + "step": 4542 + }, + { + "epoch": 0.87, + "learning_rate": 8.672400122088709e-07, + "loss": 0.815, + "step": 4543 + }, + { + "epoch": 0.87, + "learning_rate": 8.647137180850063e-07, + "loss": 0.7875, + "step": 4544 + }, + { + "epoch": 0.87, + "learning_rate": 8.62190942623633e-07, + "loss": 0.7779, + "step": 4545 + }, + { + "epoch": 0.87, + "learning_rate": 8.596716867964561e-07, + "loss": 0.721, + "step": 4546 + }, + { + "epoch": 0.87, + "learning_rate": 8.571559515738248e-07, + "loss": 0.3159, + "step": 4547 + }, + { + "epoch": 0.87, + "learning_rate": 8.546437379247319e-07, + "loss": 0.7797, + "step": 4548 + }, + { + "epoch": 0.87, + "learning_rate": 8.521350468168121e-07, + "loss": 0.7277, + "step": 4549 + }, + { + "epoch": 0.87, + "learning_rate": 8.496298792163449e-07, + "loss": 0.8295, + "step": 4550 + }, + { + "epoch": 0.87, + "learning_rate": 8.471282360882526e-07, + "loss": 0.7599, + "step": 4551 + }, + { + "epoch": 0.87, + "learning_rate": 8.446301183961004e-07, + "loss": 0.8108, + "step": 4552 + }, + { + "epoch": 0.87, + "learning_rate": 8.421355271020915e-07, + "loss": 0.3248, + "step": 4553 + }, + { + "epoch": 0.87, + "learning_rate": 8.396444631670809e-07, + "loss": 0.8332, + "step": 4554 + }, + { + "epoch": 0.87, + "learning_rate": 8.371569275505531e-07, + "loss": 0.8091, + "step": 4555 + }, + { + "epoch": 0.87, + "learning_rate": 8.346729212106386e-07, + "loss": 0.7678, + "step": 4556 + }, + { + "epoch": 0.87, + "learning_rate": 8.32192445104113e-07, + "loss": 0.7676, + "step": 4557 + }, + { + "epoch": 0.87, + "learning_rate": 8.297155001863832e-07, + "loss": 0.7563, + "step": 4558 + }, + { + "epoch": 0.87, + "learning_rate": 8.272420874115017e-07, + "loss": 0.8248, + "step": 4559 + }, + { + "epoch": 0.87, + "learning_rate": 8.247722077321618e-07, + "loss": 0.7575, + "step": 4560 + }, + { + "epoch": 0.87, + "learning_rate": 8.223058620996938e-07, + "loss": 0.7951, + "step": 4561 + }, + { + "epoch": 0.87, + "learning_rate": 8.198430514640621e-07, + "loss": 0.7096, + "step": 4562 + }, + { + "epoch": 0.87, + "learning_rate": 8.173837767738779e-07, + "loss": 0.7193, + "step": 4563 + }, + { + "epoch": 0.87, + "learning_rate": 8.149280389763881e-07, + "loss": 0.7839, + "step": 4564 + }, + { + "epoch": 0.87, + "learning_rate": 8.124758390174692e-07, + "loss": 0.7941, + "step": 4565 + }, + { + "epoch": 0.87, + "learning_rate": 8.100271778416469e-07, + "loss": 0.7317, + "step": 4566 + }, + { + "epoch": 0.87, + "learning_rate": 8.075820563920777e-07, + "loss": 0.7541, + "step": 4567 + }, + { + "epoch": 0.88, + "learning_rate": 8.051404756105552e-07, + "loss": 0.7806, + "step": 4568 + }, + { + "epoch": 0.88, + "learning_rate": 8.027024364375091e-07, + "loss": 0.7539, + "step": 4569 + }, + { + "epoch": 0.88, + "learning_rate": 8.002679398120062e-07, + "loss": 0.7514, + "step": 4570 + }, + { + "epoch": 0.88, + "learning_rate": 7.978369866717472e-07, + "loss": 0.7679, + "step": 4571 + }, + { + "epoch": 0.88, + "learning_rate": 7.95409577953069e-07, + "loss": 0.7794, + "step": 4572 + }, + { + "epoch": 0.88, + "learning_rate": 7.929857145909437e-07, + "loss": 0.7851, + "step": 4573 + }, + { + "epoch": 0.88, + "learning_rate": 7.905653975189764e-07, + "loss": 0.7998, + "step": 4574 + }, + { + "epoch": 0.88, + "learning_rate": 7.881486276694073e-07, + "loss": 0.7708, + "step": 4575 + }, + { + "epoch": 0.88, + "learning_rate": 7.857354059731104e-07, + "loss": 0.8202, + "step": 4576 + }, + { + "epoch": 0.88, + "learning_rate": 7.833257333595923e-07, + "loss": 0.8004, + "step": 4577 + }, + { + "epoch": 0.88, + "learning_rate": 7.809196107569927e-07, + "loss": 0.7702, + "step": 4578 + }, + { + "epoch": 0.88, + "learning_rate": 7.785170390920859e-07, + "loss": 0.3401, + "step": 4579 + }, + { + "epoch": 0.88, + "learning_rate": 7.761180192902751e-07, + "loss": 0.7829, + "step": 4580 + }, + { + "epoch": 0.88, + "learning_rate": 7.737225522755954e-07, + "loss": 0.7892, + "step": 4581 + }, + { + "epoch": 0.88, + "learning_rate": 7.713306389707209e-07, + "loss": 0.7489, + "step": 4582 + }, + { + "epoch": 0.88, + "learning_rate": 7.689422802969459e-07, + "loss": 0.8401, + "step": 4583 + }, + { + "epoch": 0.88, + "learning_rate": 7.665574771742024e-07, + "loss": 0.7873, + "step": 4584 + }, + { + "epoch": 0.88, + "learning_rate": 7.641762305210532e-07, + "loss": 0.7738, + "step": 4585 + }, + { + "epoch": 0.88, + "learning_rate": 7.61798541254688e-07, + "loss": 0.7714, + "step": 4586 + }, + { + "epoch": 0.88, + "learning_rate": 7.594244102909243e-07, + "loss": 0.7716, + "step": 4587 + }, + { + "epoch": 0.88, + "learning_rate": 7.570538385442195e-07, + "loss": 0.3261, + "step": 4588 + }, + { + "epoch": 0.88, + "learning_rate": 7.546868269276475e-07, + "loss": 0.7877, + "step": 4589 + }, + { + "epoch": 0.88, + "learning_rate": 7.52323376352917e-07, + "loss": 0.8031, + "step": 4590 + }, + { + "epoch": 0.88, + "learning_rate": 7.499634877303674e-07, + "loss": 0.7444, + "step": 4591 + }, + { + "epoch": 0.88, + "learning_rate": 7.476071619689617e-07, + "loss": 0.7377, + "step": 4592 + }, + { + "epoch": 0.88, + "learning_rate": 7.452543999762907e-07, + "loss": 0.8574, + "step": 4593 + }, + { + "epoch": 0.88, + "learning_rate": 7.429052026585759e-07, + "loss": 0.7568, + "step": 4594 + }, + { + "epoch": 0.88, + "learning_rate": 7.405595709206648e-07, + "loss": 0.8333, + "step": 4595 + }, + { + "epoch": 0.88, + "learning_rate": 7.382175056660257e-07, + "loss": 0.8037, + "step": 4596 + }, + { + "epoch": 0.88, + "learning_rate": 7.358790077967637e-07, + "loss": 0.7974, + "step": 4597 + }, + { + "epoch": 0.88, + "learning_rate": 7.335440782136027e-07, + "loss": 0.7824, + "step": 4598 + }, + { + "epoch": 0.88, + "learning_rate": 7.312127178158912e-07, + "loss": 0.8195, + "step": 4599 + }, + { + "epoch": 0.88, + "learning_rate": 7.288849275016085e-07, + "loss": 0.8065, + "step": 4600 + }, + { + "epoch": 0.88, + "learning_rate": 7.265607081673543e-07, + "loss": 0.8272, + "step": 4601 + }, + { + "epoch": 0.88, + "learning_rate": 7.242400607083555e-07, + "loss": 0.828, + "step": 4602 + }, + { + "epoch": 0.88, + "learning_rate": 7.219229860184606e-07, + "loss": 0.7774, + "step": 4603 + }, + { + "epoch": 0.88, + "learning_rate": 7.196094849901436e-07, + "loss": 0.7938, + "step": 4604 + }, + { + "epoch": 0.88, + "learning_rate": 7.172995585145026e-07, + "loss": 0.8123, + "step": 4605 + }, + { + "epoch": 0.88, + "learning_rate": 7.149932074812582e-07, + "loss": 0.7949, + "step": 4606 + }, + { + "epoch": 0.88, + "learning_rate": 7.12690432778752e-07, + "loss": 0.7539, + "step": 4607 + }, + { + "epoch": 0.88, + "learning_rate": 7.103912352939524e-07, + "loss": 0.8203, + "step": 4608 + }, + { + "epoch": 0.88, + "learning_rate": 7.080956159124464e-07, + "loss": 0.7453, + "step": 4609 + }, + { + "epoch": 0.88, + "learning_rate": 7.058035755184422e-07, + "loss": 0.7667, + "step": 4610 + }, + { + "epoch": 0.88, + "learning_rate": 7.035151149947739e-07, + "loss": 0.7742, + "step": 4611 + }, + { + "epoch": 0.88, + "learning_rate": 7.012302352228906e-07, + "loss": 0.8338, + "step": 4612 + }, + { + "epoch": 0.88, + "learning_rate": 6.989489370828706e-07, + "loss": 0.7984, + "step": 4613 + }, + { + "epoch": 0.88, + "learning_rate": 6.966712214534022e-07, + "loss": 0.7453, + "step": 4614 + }, + { + "epoch": 0.88, + "learning_rate": 6.943970892118002e-07, + "loss": 0.8068, + "step": 4615 + }, + { + "epoch": 0.88, + "learning_rate": 6.921265412340028e-07, + "loss": 0.7966, + "step": 4616 + }, + { + "epoch": 0.88, + "learning_rate": 6.898595783945572e-07, + "loss": 0.7408, + "step": 4617 + }, + { + "epoch": 0.88, + "learning_rate": 6.875962015666371e-07, + "loss": 0.8086, + "step": 4618 + }, + { + "epoch": 0.88, + "learning_rate": 6.853364116220351e-07, + "loss": 0.7907, + "step": 4619 + }, + { + "epoch": 0.89, + "learning_rate": 6.830802094311606e-07, + "loss": 0.8313, + "step": 4620 + }, + { + "epoch": 0.89, + "learning_rate": 6.808275958630383e-07, + "loss": 0.7732, + "step": 4621 + }, + { + "epoch": 0.89, + "learning_rate": 6.785785717853155e-07, + "loss": 0.8196, + "step": 4622 + }, + { + "epoch": 0.89, + "learning_rate": 6.763331380642557e-07, + "loss": 0.7934, + "step": 4623 + }, + { + "epoch": 0.89, + "learning_rate": 6.740912955647338e-07, + "loss": 0.8149, + "step": 4624 + }, + { + "epoch": 0.89, + "learning_rate": 6.718530451502514e-07, + "loss": 0.7916, + "step": 4625 + }, + { + "epoch": 0.89, + "learning_rate": 6.696183876829199e-07, + "loss": 0.7984, + "step": 4626 + }, + { + "epoch": 0.89, + "learning_rate": 6.673873240234674e-07, + "loss": 0.7775, + "step": 4627 + }, + { + "epoch": 0.89, + "learning_rate": 6.651598550312399e-07, + "loss": 0.7845, + "step": 4628 + }, + { + "epoch": 0.89, + "learning_rate": 6.629359815641956e-07, + "loss": 0.824, + "step": 4629 + }, + { + "epoch": 0.89, + "learning_rate": 6.607157044789115e-07, + "loss": 0.7654, + "step": 4630 + }, + { + "epoch": 0.89, + "learning_rate": 6.584990246305767e-07, + "loss": 0.6762, + "step": 4631 + }, + { + "epoch": 0.89, + "learning_rate": 6.562859428729962e-07, + "loss": 0.8119, + "step": 4632 + }, + { + "epoch": 0.89, + "learning_rate": 6.540764600585881e-07, + "loss": 0.7914, + "step": 4633 + }, + { + "epoch": 0.89, + "learning_rate": 6.518705770383848e-07, + "loss": 0.7831, + "step": 4634 + }, + { + "epoch": 0.89, + "learning_rate": 6.496682946620326e-07, + "loss": 0.7636, + "step": 4635 + }, + { + "epoch": 0.89, + "learning_rate": 6.474696137777903e-07, + "loss": 0.748, + "step": 4636 + }, + { + "epoch": 0.89, + "learning_rate": 6.452745352325295e-07, + "loss": 0.7241, + "step": 4637 + }, + { + "epoch": 0.89, + "learning_rate": 6.430830598717341e-07, + "loss": 0.8187, + "step": 4638 + }, + { + "epoch": 0.89, + "learning_rate": 6.408951885395021e-07, + "loss": 0.7248, + "step": 4639 + }, + { + "epoch": 0.89, + "learning_rate": 6.387109220785393e-07, + "loss": 0.7921, + "step": 4640 + }, + { + "epoch": 0.89, + "learning_rate": 6.365302613301671e-07, + "loss": 0.8138, + "step": 4641 + }, + { + "epoch": 0.89, + "learning_rate": 6.343532071343161e-07, + "loss": 0.729, + "step": 4642 + }, + { + "epoch": 0.89, + "learning_rate": 6.321797603295255e-07, + "loss": 0.7202, + "step": 4643 + }, + { + "epoch": 0.89, + "learning_rate": 6.300099217529532e-07, + "loss": 0.7767, + "step": 4644 + }, + { + "epoch": 0.89, + "learning_rate": 6.278436922403575e-07, + "loss": 0.7448, + "step": 4645 + }, + { + "epoch": 0.89, + "learning_rate": 6.256810726261098e-07, + "loss": 0.7724, + "step": 4646 + }, + { + "epoch": 0.89, + "learning_rate": 6.235220637431971e-07, + "loss": 0.7628, + "step": 4647 + }, + { + "epoch": 0.89, + "learning_rate": 6.213666664232054e-07, + "loss": 0.7263, + "step": 4648 + }, + { + "epoch": 0.89, + "learning_rate": 6.192148814963361e-07, + "loss": 0.7588, + "step": 4649 + }, + { + "epoch": 0.89, + "learning_rate": 6.170667097913996e-07, + "loss": 0.7955, + "step": 4650 + }, + { + "epoch": 0.89, + "learning_rate": 6.149221521358139e-07, + "loss": 0.7408, + "step": 4651 + }, + { + "epoch": 0.89, + "learning_rate": 6.127812093555985e-07, + "loss": 0.811, + "step": 4652 + }, + { + "epoch": 0.89, + "learning_rate": 6.106438822753924e-07, + "loss": 0.7787, + "step": 4653 + }, + { + "epoch": 0.89, + "learning_rate": 6.085101717184327e-07, + "loss": 0.7646, + "step": 4654 + }, + { + "epoch": 0.89, + "learning_rate": 6.063800785065643e-07, + "loss": 0.8229, + "step": 4655 + }, + { + "epoch": 0.89, + "learning_rate": 6.042536034602442e-07, + "loss": 0.8184, + "step": 4656 + }, + { + "epoch": 0.89, + "learning_rate": 6.021307473985306e-07, + "loss": 0.7444, + "step": 4657 + }, + { + "epoch": 0.89, + "learning_rate": 6.000115111390902e-07, + "loss": 0.7932, + "step": 4658 + }, + { + "epoch": 0.89, + "learning_rate": 5.978958954981962e-07, + "loss": 0.7357, + "step": 4659 + }, + { + "epoch": 0.89, + "learning_rate": 5.957839012907229e-07, + "loss": 0.8053, + "step": 4660 + }, + { + "epoch": 0.89, + "learning_rate": 5.936755293301555e-07, + "loss": 0.7652, + "step": 4661 + }, + { + "epoch": 0.89, + "learning_rate": 5.915707804285797e-07, + "loss": 0.7798, + "step": 4662 + }, + { + "epoch": 0.89, + "learning_rate": 5.894696553966872e-07, + "loss": 0.7325, + "step": 4663 + }, + { + "epoch": 0.89, + "learning_rate": 5.87372155043775e-07, + "loss": 0.834, + "step": 4664 + }, + { + "epoch": 0.89, + "learning_rate": 5.852782801777424e-07, + "loss": 0.7838, + "step": 4665 + }, + { + "epoch": 0.89, + "learning_rate": 5.831880316050919e-07, + "loss": 0.3324, + "step": 4666 + }, + { + "epoch": 0.89, + "learning_rate": 5.811014101309309e-07, + "loss": 0.8248, + "step": 4667 + }, + { + "epoch": 0.89, + "learning_rate": 5.790184165589696e-07, + "loss": 0.7533, + "step": 4668 + }, + { + "epoch": 0.89, + "learning_rate": 5.769390516915186e-07, + "loss": 0.7737, + "step": 4669 + }, + { + "epoch": 0.89, + "learning_rate": 5.748633163294937e-07, + "loss": 0.8145, + "step": 4670 + }, + { + "epoch": 0.89, + "learning_rate": 5.727912112724099e-07, + "loss": 0.809, + "step": 4671 + }, + { + "epoch": 0.9, + "learning_rate": 5.707227373183865e-07, + "loss": 0.8112, + "step": 4672 + }, + { + "epoch": 0.9, + "learning_rate": 5.686578952641442e-07, + "loss": 0.7972, + "step": 4673 + }, + { + "epoch": 0.9, + "learning_rate": 5.665966859049998e-07, + "loss": 0.7529, + "step": 4674 + }, + { + "epoch": 0.9, + "learning_rate": 5.645391100348818e-07, + "loss": 0.7469, + "step": 4675 + }, + { + "epoch": 0.9, + "learning_rate": 5.62485168446305e-07, + "loss": 0.7721, + "step": 4676 + }, + { + "epoch": 0.9, + "learning_rate": 5.604348619303934e-07, + "loss": 0.7543, + "step": 4677 + }, + { + "epoch": 0.9, + "learning_rate": 5.583881912768729e-07, + "loss": 0.7734, + "step": 4678 + }, + { + "epoch": 0.9, + "learning_rate": 5.563451572740608e-07, + "loss": 0.7373, + "step": 4679 + }, + { + "epoch": 0.9, + "learning_rate": 5.543057607088775e-07, + "loss": 0.8205, + "step": 4680 + }, + { + "epoch": 0.9, + "learning_rate": 5.52270002366847e-07, + "loss": 0.8095, + "step": 4681 + }, + { + "epoch": 0.9, + "learning_rate": 5.502378830320865e-07, + "loss": 0.3351, + "step": 4682 + }, + { + "epoch": 0.9, + "learning_rate": 5.482094034873087e-07, + "loss": 0.7422, + "step": 4683 + }, + { + "epoch": 0.9, + "learning_rate": 5.46184564513832e-07, + "loss": 0.8445, + "step": 4684 + }, + { + "epoch": 0.9, + "learning_rate": 5.441633668915703e-07, + "loss": 0.8318, + "step": 4685 + }, + { + "epoch": 0.9, + "learning_rate": 5.421458113990296e-07, + "loss": 0.3074, + "step": 4686 + }, + { + "epoch": 0.9, + "learning_rate": 5.401318988133198e-07, + "loss": 0.8158, + "step": 4687 + }, + { + "epoch": 0.9, + "learning_rate": 5.381216299101455e-07, + "loss": 0.823, + "step": 4688 + }, + { + "epoch": 0.9, + "learning_rate": 5.361150054638053e-07, + "loss": 0.7926, + "step": 4689 + }, + { + "epoch": 0.9, + "learning_rate": 5.341120262471977e-07, + "loss": 0.7652, + "step": 4690 + }, + { + "epoch": 0.9, + "learning_rate": 5.321126930318144e-07, + "loss": 0.778, + "step": 4691 + }, + { + "epoch": 0.9, + "learning_rate": 5.301170065877448e-07, + "loss": 0.3257, + "step": 4692 + }, + { + "epoch": 0.9, + "learning_rate": 5.28124967683672e-07, + "loss": 0.3052, + "step": 4693 + }, + { + "epoch": 0.9, + "learning_rate": 5.261365770868753e-07, + "loss": 0.7736, + "step": 4694 + }, + { + "epoch": 0.9, + "learning_rate": 5.24151835563228e-07, + "loss": 0.7748, + "step": 4695 + }, + { + "epoch": 0.9, + "learning_rate": 5.221707438771983e-07, + "loss": 0.7712, + "step": 4696 + }, + { + "epoch": 0.9, + "learning_rate": 5.201933027918493e-07, + "loss": 0.7452, + "step": 4697 + }, + { + "epoch": 0.9, + "learning_rate": 5.182195130688372e-07, + "loss": 0.765, + "step": 4698 + }, + { + "epoch": 0.9, + "learning_rate": 5.162493754684116e-07, + "loss": 0.7569, + "step": 4699 + }, + { + "epoch": 0.9, + "learning_rate": 5.142828907494146e-07, + "loss": 0.7371, + "step": 4700 + }, + { + "epoch": 0.9, + "learning_rate": 5.123200596692835e-07, + "loss": 0.8192, + "step": 4701 + }, + { + "epoch": 0.9, + "learning_rate": 5.103608829840456e-07, + "loss": 0.754, + "step": 4702 + }, + { + "epoch": 0.9, + "learning_rate": 5.084053614483253e-07, + "loss": 0.7542, + "step": 4703 + }, + { + "epoch": 0.9, + "learning_rate": 5.064534958153344e-07, + "loss": 0.7752, + "step": 4704 + }, + { + "epoch": 0.9, + "learning_rate": 5.045052868368749e-07, + "loss": 0.803, + "step": 4705 + }, + { + "epoch": 0.9, + "learning_rate": 5.025607352633499e-07, + "loss": 0.7833, + "step": 4706 + }, + { + "epoch": 0.9, + "learning_rate": 5.006198418437436e-07, + "loss": 0.7908, + "step": 4707 + }, + { + "epoch": 0.9, + "learning_rate": 4.986826073256334e-07, + "loss": 0.7058, + "step": 4708 + }, + { + "epoch": 0.9, + "learning_rate": 4.967490324551949e-07, + "loss": 0.7702, + "step": 4709 + }, + { + "epoch": 0.9, + "learning_rate": 4.948191179771833e-07, + "loss": 0.7189, + "step": 4710 + }, + { + "epoch": 0.9, + "learning_rate": 4.928928646349496e-07, + "loss": 0.7716, + "step": 4711 + }, + { + "epoch": 0.9, + "learning_rate": 4.909702731704347e-07, + "loss": 0.7633, + "step": 4712 + }, + { + "epoch": 0.9, + "learning_rate": 4.890513443241706e-07, + "loss": 0.7925, + "step": 4713 + }, + { + "epoch": 0.9, + "learning_rate": 4.871360788352708e-07, + "loss": 0.7363, + "step": 4714 + }, + { + "epoch": 0.9, + "learning_rate": 4.852244774414472e-07, + "loss": 0.7476, + "step": 4715 + }, + { + "epoch": 0.9, + "learning_rate": 4.833165408789975e-07, + "loss": 0.8667, + "step": 4716 + }, + { + "epoch": 0.9, + "learning_rate": 4.814122698828017e-07, + "loss": 0.7453, + "step": 4717 + }, + { + "epoch": 0.9, + "learning_rate": 4.795116651863363e-07, + "loss": 0.7743, + "step": 4718 + }, + { + "epoch": 0.9, + "learning_rate": 4.776147275216624e-07, + "loss": 0.7811, + "step": 4719 + }, + { + "epoch": 0.9, + "learning_rate": 4.757214576194291e-07, + "loss": 0.7676, + "step": 4720 + }, + { + "epoch": 0.9, + "learning_rate": 4.738318562088695e-07, + "loss": 0.3711, + "step": 4721 + }, + { + "epoch": 0.9, + "learning_rate": 4.7194592401780926e-07, + "loss": 0.8081, + "step": 4722 + }, + { + "epoch": 0.9, + "learning_rate": 4.7006366177265504e-07, + "loss": 0.7772, + "step": 4723 + }, + { + "epoch": 0.91, + "learning_rate": 4.6818507019840584e-07, + "loss": 0.7634, + "step": 4724 + }, + { + "epoch": 0.91, + "learning_rate": 4.663101500186418e-07, + "loss": 0.8168, + "step": 4725 + }, + { + "epoch": 0.91, + "learning_rate": 4.6443890195553065e-07, + "loss": 0.7778, + "step": 4726 + }, + { + "epoch": 0.91, + "learning_rate": 4.625713267298271e-07, + "loss": 0.7454, + "step": 4727 + }, + { + "epoch": 0.91, + "learning_rate": 4.607074250608701e-07, + "loss": 0.749, + "step": 4728 + }, + { + "epoch": 0.91, + "learning_rate": 4.588471976665831e-07, + "loss": 0.7661, + "step": 4729 + }, + { + "epoch": 0.91, + "learning_rate": 4.5699064526347423e-07, + "loss": 0.3149, + "step": 4730 + }, + { + "epoch": 0.91, + "learning_rate": 4.5513776856663803e-07, + "loss": 0.7174, + "step": 4731 + }, + { + "epoch": 0.91, + "learning_rate": 4.5328856828975144e-07, + "loss": 0.7638, + "step": 4732 + }, + { + "epoch": 0.91, + "learning_rate": 4.514430451450735e-07, + "loss": 0.7795, + "step": 4733 + }, + { + "epoch": 0.91, + "learning_rate": 4.496011998434546e-07, + "loss": 0.8187, + "step": 4734 + }, + { + "epoch": 0.91, + "learning_rate": 4.4776303309431836e-07, + "loss": 0.72, + "step": 4735 + }, + { + "epoch": 0.91, + "learning_rate": 4.459285456056772e-07, + "loss": 0.7635, + "step": 4736 + }, + { + "epoch": 0.91, + "learning_rate": 4.440977380841294e-07, + "loss": 0.7817, + "step": 4737 + }, + { + "epoch": 0.91, + "learning_rate": 4.422706112348474e-07, + "loss": 0.7524, + "step": 4738 + }, + { + "epoch": 0.91, + "learning_rate": 4.404471657615894e-07, + "loss": 0.7664, + "step": 4739 + }, + { + "epoch": 0.91, + "learning_rate": 4.3862740236670254e-07, + "loss": 0.831, + "step": 4740 + }, + { + "epoch": 0.91, + "learning_rate": 4.368113217511072e-07, + "loss": 0.7563, + "step": 4741 + }, + { + "epoch": 0.91, + "learning_rate": 4.349989246143049e-07, + "loss": 0.7867, + "step": 4742 + }, + { + "epoch": 0.91, + "learning_rate": 4.3319021165438515e-07, + "loss": 0.6756, + "step": 4743 + }, + { + "epoch": 0.91, + "learning_rate": 4.3138518356801494e-07, + "loss": 0.7805, + "step": 4744 + }, + { + "epoch": 0.91, + "learning_rate": 4.2958384105043824e-07, + "loss": 0.3186, + "step": 4745 + }, + { + "epoch": 0.91, + "learning_rate": 4.277861847954867e-07, + "loss": 0.7365, + "step": 4746 + }, + { + "epoch": 0.91, + "learning_rate": 4.259922154955665e-07, + "loss": 0.8076, + "step": 4747 + }, + { + "epoch": 0.91, + "learning_rate": 4.2420193384166585e-07, + "loss": 0.7818, + "step": 4748 + }, + { + "epoch": 0.91, + "learning_rate": 4.224153405233533e-07, + "loss": 0.8201, + "step": 4749 + }, + { + "epoch": 0.91, + "learning_rate": 4.2063243622877394e-07, + "loss": 0.7683, + "step": 4750 + }, + { + "epoch": 0.91, + "learning_rate": 4.188532216446539e-07, + "loss": 0.7897, + "step": 4751 + }, + { + "epoch": 0.91, + "learning_rate": 4.1707769745629954e-07, + "loss": 0.7152, + "step": 4752 + }, + { + "epoch": 0.91, + "learning_rate": 4.153058643475927e-07, + "loss": 0.7267, + "step": 4753 + }, + { + "epoch": 0.91, + "learning_rate": 4.1353772300099625e-07, + "loss": 0.8392, + "step": 4754 + }, + { + "epoch": 0.91, + "learning_rate": 4.1177327409755e-07, + "loss": 0.7859, + "step": 4755 + }, + { + "epoch": 0.91, + "learning_rate": 4.100125183168702e-07, + "loss": 0.82, + "step": 4756 + }, + { + "epoch": 0.91, + "learning_rate": 4.0825545633715216e-07, + "loss": 0.7514, + "step": 4757 + }, + { + "epoch": 0.91, + "learning_rate": 4.0650208883516787e-07, + "loss": 0.7566, + "step": 4758 + }, + { + "epoch": 0.91, + "learning_rate": 4.0475241648626817e-07, + "loss": 0.7744, + "step": 4759 + }, + { + "epoch": 0.91, + "learning_rate": 4.030064399643774e-07, + "loss": 0.817, + "step": 4760 + }, + { + "epoch": 0.91, + "learning_rate": 4.012641599419975e-07, + "loss": 0.7321, + "step": 4761 + }, + { + "epoch": 0.91, + "learning_rate": 3.9952557709020957e-07, + "loss": 0.7949, + "step": 4762 + }, + { + "epoch": 0.91, + "learning_rate": 3.9779069207866563e-07, + "loss": 0.7522, + "step": 4763 + }, + { + "epoch": 0.91, + "learning_rate": 3.960595055755967e-07, + "loss": 0.7611, + "step": 4764 + }, + { + "epoch": 0.91, + "learning_rate": 3.943320182478105e-07, + "loss": 0.8162, + "step": 4765 + }, + { + "epoch": 0.91, + "learning_rate": 3.926082307606849e-07, + "loss": 0.7682, + "step": 4766 + }, + { + "epoch": 0.91, + "learning_rate": 3.908881437781764e-07, + "loss": 0.7935, + "step": 4767 + }, + { + "epoch": 0.91, + "learning_rate": 3.891717579628185e-07, + "loss": 0.725, + "step": 4768 + }, + { + "epoch": 0.91, + "learning_rate": 3.8745907397571226e-07, + "loss": 0.7292, + "step": 4769 + }, + { + "epoch": 0.91, + "learning_rate": 3.857500924765367e-07, + "loss": 0.8194, + "step": 4770 + }, + { + "epoch": 0.91, + "learning_rate": 3.8404481412354646e-07, + "loss": 0.7417, + "step": 4771 + }, + { + "epoch": 0.91, + "learning_rate": 3.8234323957357044e-07, + "loss": 0.7688, + "step": 4772 + }, + { + "epoch": 0.91, + "learning_rate": 3.8064536948200335e-07, + "loss": 0.8371, + "step": 4773 + }, + { + "epoch": 0.91, + "learning_rate": 3.7895120450282207e-07, + "loss": 0.8196, + "step": 4774 + }, + { + "epoch": 0.91, + "learning_rate": 3.7726074528857235e-07, + "loss": 0.7286, + "step": 4775 + }, + { + "epoch": 0.91, + "learning_rate": 3.755739924903712e-07, + "loss": 0.3429, + "step": 4776 + }, + { + "epoch": 0.92, + "learning_rate": 3.7389094675790995e-07, + "loss": 0.7904, + "step": 4777 + }, + { + "epoch": 0.92, + "learning_rate": 3.722116087394534e-07, + "loss": 0.763, + "step": 4778 + }, + { + "epoch": 0.92, + "learning_rate": 3.7053597908183525e-07, + "loss": 0.7742, + "step": 4779 + }, + { + "epoch": 0.92, + "learning_rate": 3.688640584304626e-07, + "loss": 0.8063, + "step": 4780 + }, + { + "epoch": 0.92, + "learning_rate": 3.671958474293147e-07, + "loss": 0.6911, + "step": 4781 + }, + { + "epoch": 0.92, + "learning_rate": 3.6553134672093873e-07, + "loss": 0.7861, + "step": 4782 + }, + { + "epoch": 0.92, + "learning_rate": 3.6387055694645624e-07, + "loss": 0.7192, + "step": 4783 + }, + { + "epoch": 0.92, + "learning_rate": 3.622134787455567e-07, + "loss": 0.7914, + "step": 4784 + }, + { + "epoch": 0.92, + "learning_rate": 3.6056011275650284e-07, + "loss": 0.7513, + "step": 4785 + }, + { + "epoch": 0.92, + "learning_rate": 3.5891045961612525e-07, + "loss": 0.7675, + "step": 4786 + }, + { + "epoch": 0.92, + "learning_rate": 3.572645199598257e-07, + "loss": 0.7564, + "step": 4787 + }, + { + "epoch": 0.92, + "learning_rate": 3.556222944215748e-07, + "loss": 0.7638, + "step": 4788 + }, + { + "epoch": 0.92, + "learning_rate": 3.5398378363391327e-07, + "loss": 0.8027, + "step": 4789 + }, + { + "epoch": 0.92, + "learning_rate": 3.5234898822795074e-07, + "loss": 0.7784, + "step": 4790 + }, + { + "epoch": 0.92, + "learning_rate": 3.507179088333645e-07, + "loss": 0.3599, + "step": 4791 + }, + { + "epoch": 0.92, + "learning_rate": 3.490905460784022e-07, + "loss": 0.7947, + "step": 4792 + }, + { + "epoch": 0.92, + "learning_rate": 3.474669005898812e-07, + "loss": 0.8474, + "step": 4793 + }, + { + "epoch": 0.92, + "learning_rate": 3.4584697299318236e-07, + "loss": 0.8216, + "step": 4794 + }, + { + "epoch": 0.92, + "learning_rate": 3.4423076391225885e-07, + "loss": 0.3172, + "step": 4795 + }, + { + "epoch": 0.92, + "learning_rate": 3.4261827396963267e-07, + "loss": 0.7102, + "step": 4796 + }, + { + "epoch": 0.92, + "learning_rate": 3.410095037863881e-07, + "loss": 0.6846, + "step": 4797 + }, + { + "epoch": 0.92, + "learning_rate": 3.3940445398217837e-07, + "loss": 0.7777, + "step": 4798 + }, + { + "epoch": 0.92, + "learning_rate": 3.3780312517522896e-07, + "loss": 0.8208, + "step": 4799 + }, + { + "epoch": 0.92, + "learning_rate": 3.3620551798232423e-07, + "loss": 0.8044, + "step": 4800 + }, + { + "epoch": 0.92, + "learning_rate": 3.3461163301881874e-07, + "loss": 0.8084, + "step": 4801 + }, + { + "epoch": 0.92, + "learning_rate": 3.3302147089863566e-07, + "loss": 0.8226, + "step": 4802 + }, + { + "epoch": 0.92, + "learning_rate": 3.314350322342619e-07, + "loss": 0.783, + "step": 4803 + }, + { + "epoch": 0.92, + "learning_rate": 3.298523176367463e-07, + "loss": 0.7669, + "step": 4804 + }, + { + "epoch": 0.92, + "learning_rate": 3.282733277157124e-07, + "loss": 0.7777, + "step": 4805 + }, + { + "epoch": 0.92, + "learning_rate": 3.266980630793426e-07, + "loss": 0.7724, + "step": 4806 + }, + { + "epoch": 0.92, + "learning_rate": 3.2512652433438266e-07, + "loss": 0.854, + "step": 4807 + }, + { + "epoch": 0.92, + "learning_rate": 3.235587120861505e-07, + "loss": 0.7664, + "step": 4808 + }, + { + "epoch": 0.92, + "learning_rate": 3.219946269385221e-07, + "loss": 0.7372, + "step": 4809 + }, + { + "epoch": 0.92, + "learning_rate": 3.2043426949393995e-07, + "loss": 0.8259, + "step": 4810 + }, + { + "epoch": 0.92, + "learning_rate": 3.188776403534133e-07, + "loss": 0.7922, + "step": 4811 + }, + { + "epoch": 0.92, + "learning_rate": 3.1732474011651026e-07, + "loss": 0.7805, + "step": 4812 + }, + { + "epoch": 0.92, + "learning_rate": 3.15775569381368e-07, + "loss": 0.7745, + "step": 4813 + }, + { + "epoch": 0.92, + "learning_rate": 3.142301287446836e-07, + "loss": 0.7812, + "step": 4814 + }, + { + "epoch": 0.92, + "learning_rate": 3.1268841880171987e-07, + "loss": 0.7768, + "step": 4815 + }, + { + "epoch": 0.92, + "learning_rate": 3.1115044014629835e-07, + "loss": 0.7733, + "step": 4816 + }, + { + "epoch": 0.92, + "learning_rate": 3.0961619337080974e-07, + "loss": 0.7985, + "step": 4817 + }, + { + "epoch": 0.92, + "learning_rate": 3.0808567906620123e-07, + "loss": 0.7978, + "step": 4818 + }, + { + "epoch": 0.92, + "learning_rate": 3.065588978219869e-07, + "loss": 0.775, + "step": 4819 + }, + { + "epoch": 0.92, + "learning_rate": 3.050358502262407e-07, + "loss": 0.7817, + "step": 4820 + }, + { + "epoch": 0.92, + "learning_rate": 3.035165368655979e-07, + "loss": 0.7946, + "step": 4821 + }, + { + "epoch": 0.92, + "learning_rate": 3.020009583252581e-07, + "loss": 0.771, + "step": 4822 + }, + { + "epoch": 0.92, + "learning_rate": 3.0048911518897774e-07, + "loss": 0.8207, + "step": 4823 + }, + { + "epoch": 0.92, + "learning_rate": 2.9898100803908316e-07, + "loss": 0.7846, + "step": 4824 + }, + { + "epoch": 0.92, + "learning_rate": 2.974766374564497e-07, + "loss": 0.759, + "step": 4825 + }, + { + "epoch": 0.92, + "learning_rate": 2.9597600402052286e-07, + "loss": 0.8118, + "step": 4826 + }, + { + "epoch": 0.92, + "learning_rate": 2.944791083093068e-07, + "loss": 0.7586, + "step": 4827 + }, + { + "epoch": 0.92, + "learning_rate": 2.9298595089936265e-07, + "loss": 0.7564, + "step": 4828 + }, + { + "epoch": 0.93, + "learning_rate": 2.9149653236581257e-07, + "loss": 0.7924, + "step": 4829 + }, + { + "epoch": 0.93, + "learning_rate": 2.9001085328234426e-07, + "loss": 0.7274, + "step": 4830 + }, + { + "epoch": 0.93, + "learning_rate": 2.8852891422119777e-07, + "loss": 0.3443, + "step": 4831 + }, + { + "epoch": 0.93, + "learning_rate": 2.8705071575317436e-07, + "loss": 0.7577, + "step": 4832 + }, + { + "epoch": 0.93, + "learning_rate": 2.8557625844763846e-07, + "loss": 0.7256, + "step": 4833 + }, + { + "epoch": 0.93, + "learning_rate": 2.8410554287251037e-07, + "loss": 0.7843, + "step": 4834 + }, + { + "epoch": 0.93, + "learning_rate": 2.826385695942657e-07, + "loss": 0.8499, + "step": 4835 + }, + { + "epoch": 0.93, + "learning_rate": 2.81175339177947e-07, + "loss": 0.7839, + "step": 4836 + }, + { + "epoch": 0.93, + "learning_rate": 2.7971585218715014e-07, + "loss": 0.3378, + "step": 4837 + }, + { + "epoch": 0.93, + "learning_rate": 2.7826010918402646e-07, + "loss": 0.7602, + "step": 4838 + }, + { + "epoch": 0.93, + "learning_rate": 2.768081107292919e-07, + "loss": 0.8229, + "step": 4839 + }, + { + "epoch": 0.93, + "learning_rate": 2.753598573822136e-07, + "loss": 0.7495, + "step": 4840 + }, + { + "epoch": 0.93, + "learning_rate": 2.7391534970062195e-07, + "loss": 0.7989, + "step": 4841 + }, + { + "epoch": 0.93, + "learning_rate": 2.724745882408997e-07, + "loss": 0.8075, + "step": 4842 + }, + { + "epoch": 0.93, + "learning_rate": 2.710375735579884e-07, + "loss": 0.7982, + "step": 4843 + }, + { + "epoch": 0.93, + "learning_rate": 2.69604306205391e-07, + "loss": 0.7936, + "step": 4844 + }, + { + "epoch": 0.93, + "learning_rate": 2.681747867351558e-07, + "loss": 0.7535, + "step": 4845 + }, + { + "epoch": 0.93, + "learning_rate": 2.6674901569790137e-07, + "loss": 0.3146, + "step": 4846 + }, + { + "epoch": 0.93, + "learning_rate": 2.6532699364279155e-07, + "loss": 0.7215, + "step": 4847 + }, + { + "epoch": 0.93, + "learning_rate": 2.639087211175528e-07, + "loss": 0.8211, + "step": 4848 + }, + { + "epoch": 0.93, + "learning_rate": 2.6249419866846257e-07, + "loss": 0.7555, + "step": 4849 + }, + { + "epoch": 0.93, + "learning_rate": 2.6108342684035837e-07, + "loss": 0.8352, + "step": 4850 + }, + { + "epoch": 0.93, + "learning_rate": 2.596764061766299e-07, + "loss": 0.7551, + "step": 4851 + }, + { + "epoch": 0.93, + "learning_rate": 2.5827313721922377e-07, + "loss": 0.8181, + "step": 4852 + }, + { + "epoch": 0.93, + "learning_rate": 2.5687362050863974e-07, + "loss": 0.7387, + "step": 4853 + }, + { + "epoch": 0.93, + "learning_rate": 2.554778565839333e-07, + "loss": 0.7807, + "step": 4854 + }, + { + "epoch": 0.93, + "learning_rate": 2.540858459827167e-07, + "loss": 0.7401, + "step": 4855 + }, + { + "epoch": 0.93, + "learning_rate": 2.5269758924115205e-07, + "loss": 0.8317, + "step": 4856 + }, + { + "epoch": 0.93, + "learning_rate": 2.513130868939584e-07, + "loss": 0.7847, + "step": 4857 + }, + { + "epoch": 0.93, + "learning_rate": 2.499323394744091e-07, + "loss": 0.3255, + "step": 4858 + }, + { + "epoch": 0.93, + "learning_rate": 2.4855534751432985e-07, + "loss": 0.3595, + "step": 4859 + }, + { + "epoch": 0.93, + "learning_rate": 2.4718211154409866e-07, + "loss": 0.7451, + "step": 4860 + }, + { + "epoch": 0.93, + "learning_rate": 2.458126320926513e-07, + "loss": 0.7564, + "step": 4861 + }, + { + "epoch": 0.93, + "learning_rate": 2.4444690968747243e-07, + "loss": 0.7661, + "step": 4862 + }, + { + "epoch": 0.93, + "learning_rate": 2.430849448546013e-07, + "loss": 0.8008, + "step": 4863 + }, + { + "epoch": 0.93, + "learning_rate": 2.4172673811862724e-07, + "loss": 0.7022, + "step": 4864 + }, + { + "epoch": 0.93, + "learning_rate": 2.4037229000269835e-07, + "loss": 0.6855, + "step": 4865 + }, + { + "epoch": 0.93, + "learning_rate": 2.3902160102850845e-07, + "loss": 0.7546, + "step": 4866 + }, + { + "epoch": 0.93, + "learning_rate": 2.3767467171630587e-07, + "loss": 0.7702, + "step": 4867 + }, + { + "epoch": 0.93, + "learning_rate": 2.3633150258489223e-07, + "loss": 0.7531, + "step": 4868 + }, + { + "epoch": 0.93, + "learning_rate": 2.3499209415161928e-07, + "loss": 0.6682, + "step": 4869 + }, + { + "epoch": 0.93, + "learning_rate": 2.3365644693238987e-07, + "loss": 0.7601, + "step": 4870 + }, + { + "epoch": 0.93, + "learning_rate": 2.3232456144165916e-07, + "loss": 0.7438, + "step": 4871 + }, + { + "epoch": 0.93, + "learning_rate": 2.3099643819243346e-07, + "loss": 0.734, + "step": 4872 + }, + { + "epoch": 0.93, + "learning_rate": 2.2967207769626797e-07, + "loss": 0.3259, + "step": 4873 + }, + { + "epoch": 0.93, + "learning_rate": 2.2835148046327138e-07, + "loss": 0.7771, + "step": 4874 + }, + { + "epoch": 0.93, + "learning_rate": 2.2703464700210343e-07, + "loss": 0.757, + "step": 4875 + }, + { + "epoch": 0.93, + "learning_rate": 2.257215778199673e-07, + "loss": 0.7336, + "step": 4876 + }, + { + "epoch": 0.93, + "learning_rate": 2.2441227342262616e-07, + "loss": 0.7782, + "step": 4877 + }, + { + "epoch": 0.93, + "learning_rate": 2.2310673431438668e-07, + "loss": 0.7741, + "step": 4878 + }, + { + "epoch": 0.93, + "learning_rate": 2.2180496099810655e-07, + "loss": 0.7032, + "step": 4879 + }, + { + "epoch": 0.93, + "learning_rate": 2.2050695397519252e-07, + "loss": 0.7819, + "step": 4880 + }, + { + "epoch": 0.94, + "learning_rate": 2.192127137456035e-07, + "loss": 0.8156, + "step": 4881 + }, + { + "epoch": 0.94, + "learning_rate": 2.1792224080784408e-07, + "loss": 0.8444, + "step": 4882 + }, + { + "epoch": 0.94, + "learning_rate": 2.1663553565896888e-07, + "loss": 0.835, + "step": 4883 + }, + { + "epoch": 0.94, + "learning_rate": 2.1535259879458258e-07, + "loss": 0.7873, + "step": 4884 + }, + { + "epoch": 0.94, + "learning_rate": 2.1407343070883546e-07, + "loss": 0.7961, + "step": 4885 + }, + { + "epoch": 0.94, + "learning_rate": 2.1279803189443117e-07, + "loss": 0.3334, + "step": 4886 + }, + { + "epoch": 0.94, + "learning_rate": 2.115264028426156e-07, + "loss": 0.8361, + "step": 4887 + }, + { + "epoch": 0.94, + "learning_rate": 2.102585440431859e-07, + "loss": 0.7687, + "step": 4888 + }, + { + "epoch": 0.94, + "learning_rate": 2.089944559844892e-07, + "loss": 0.7953, + "step": 4889 + }, + { + "epoch": 0.94, + "learning_rate": 2.077341391534138e-07, + "loss": 0.7138, + "step": 4890 + }, + { + "epoch": 0.94, + "learning_rate": 2.0647759403540247e-07, + "loss": 0.7641, + "step": 4891 + }, + { + "epoch": 0.94, + "learning_rate": 2.052248211144392e-07, + "loss": 0.7537, + "step": 4892 + }, + { + "epoch": 0.94, + "learning_rate": 2.0397582087306244e-07, + "loss": 0.7901, + "step": 4893 + }, + { + "epoch": 0.94, + "learning_rate": 2.0273059379234739e-07, + "loss": 0.803, + "step": 4894 + }, + { + "epoch": 0.94, + "learning_rate": 2.014891403519248e-07, + "loss": 0.7134, + "step": 4895 + }, + { + "epoch": 0.94, + "learning_rate": 2.0025146102996772e-07, + "loss": 0.7483, + "step": 4896 + }, + { + "epoch": 0.94, + "learning_rate": 1.9901755630319708e-07, + "loss": 0.7812, + "step": 4897 + }, + { + "epoch": 0.94, + "learning_rate": 1.977874266468771e-07, + "loss": 0.8194, + "step": 4898 + }, + { + "epoch": 0.94, + "learning_rate": 1.9656107253482325e-07, + "loss": 0.8161, + "step": 4899 + }, + { + "epoch": 0.94, + "learning_rate": 1.953384944393921e-07, + "loss": 0.7173, + "step": 4900 + }, + { + "epoch": 0.94, + "learning_rate": 1.941196928314859e-07, + "loss": 0.8019, + "step": 4901 + }, + { + "epoch": 0.94, + "learning_rate": 1.9290466818055575e-07, + "loss": 0.7663, + "step": 4902 + }, + { + "epoch": 0.94, + "learning_rate": 1.916934209545962e-07, + "loss": 0.7749, + "step": 4903 + }, + { + "epoch": 0.94, + "learning_rate": 1.9048595162014293e-07, + "loss": 0.7736, + "step": 4904 + }, + { + "epoch": 0.94, + "learning_rate": 1.8928226064228505e-07, + "loss": 0.8634, + "step": 4905 + }, + { + "epoch": 0.94, + "learning_rate": 1.8808234848464723e-07, + "loss": 0.8045, + "step": 4906 + }, + { + "epoch": 0.94, + "learning_rate": 1.8688621560940644e-07, + "loss": 0.7846, + "step": 4907 + }, + { + "epoch": 0.94, + "learning_rate": 1.856938624772775e-07, + "loss": 0.7805, + "step": 4908 + }, + { + "epoch": 0.94, + "learning_rate": 1.8450528954752412e-07, + "loss": 0.7456, + "step": 4909 + }, + { + "epoch": 0.94, + "learning_rate": 1.8332049727795008e-07, + "loss": 0.8081, + "step": 4910 + }, + { + "epoch": 0.94, + "learning_rate": 1.8213948612490706e-07, + "loss": 0.7943, + "step": 4911 + }, + { + "epoch": 0.94, + "learning_rate": 1.809622565432878e-07, + "loss": 0.7869, + "step": 4912 + }, + { + "epoch": 0.94, + "learning_rate": 1.797888089865274e-07, + "loss": 0.754, + "step": 4913 + }, + { + "epoch": 0.94, + "learning_rate": 1.7861914390660762e-07, + "loss": 0.6977, + "step": 4914 + }, + { + "epoch": 0.94, + "learning_rate": 1.7745326175405143e-07, + "loss": 0.7436, + "step": 4915 + }, + { + "epoch": 0.94, + "learning_rate": 1.7629116297792292e-07, + "loss": 0.8285, + "step": 4916 + }, + { + "epoch": 0.94, + "learning_rate": 1.7513284802583296e-07, + "loss": 0.7196, + "step": 4917 + }, + { + "epoch": 0.94, + "learning_rate": 1.7397831734393022e-07, + "loss": 0.7906, + "step": 4918 + }, + { + "epoch": 0.94, + "learning_rate": 1.728275713769112e-07, + "loss": 0.7724, + "step": 4919 + }, + { + "epoch": 0.94, + "learning_rate": 1.716806105680102e-07, + "loss": 0.3282, + "step": 4920 + }, + { + "epoch": 0.94, + "learning_rate": 1.7053743535900502e-07, + "loss": 0.3378, + "step": 4921 + }, + { + "epoch": 0.94, + "learning_rate": 1.693980461902167e-07, + "loss": 0.6573, + "step": 4922 + }, + { + "epoch": 0.94, + "learning_rate": 1.6826244350050424e-07, + "loss": 0.8427, + "step": 4923 + }, + { + "epoch": 0.94, + "learning_rate": 1.671306277272755e-07, + "loss": 0.78, + "step": 4924 + }, + { + "epoch": 0.94, + "learning_rate": 1.6600259930646955e-07, + "loss": 0.8199, + "step": 4925 + }, + { + "epoch": 0.94, + "learning_rate": 1.648783586725744e-07, + "loss": 0.7331, + "step": 4926 + }, + { + "epoch": 0.94, + "learning_rate": 1.637579062586192e-07, + "loss": 0.3212, + "step": 4927 + }, + { + "epoch": 0.94, + "learning_rate": 1.6264124249616764e-07, + "loss": 0.7947, + "step": 4928 + }, + { + "epoch": 0.94, + "learning_rate": 1.6152836781532898e-07, + "loss": 0.7852, + "step": 4929 + }, + { + "epoch": 0.94, + "learning_rate": 1.604192826447548e-07, + "loss": 0.7754, + "step": 4930 + }, + { + "epoch": 0.94, + "learning_rate": 1.5931398741163228e-07, + "loss": 0.7259, + "step": 4931 + }, + { + "epoch": 0.94, + "learning_rate": 1.5821248254168976e-07, + "loss": 0.8011, + "step": 4932 + }, + { + "epoch": 0.95, + "learning_rate": 1.571147684591978e-07, + "loss": 0.7429, + "step": 4933 + }, + { + "epoch": 0.95, + "learning_rate": 1.5602084558696827e-07, + "loss": 0.7721, + "step": 4934 + }, + { + "epoch": 0.95, + "learning_rate": 1.5493071434634631e-07, + "loss": 0.7939, + "step": 4935 + }, + { + "epoch": 0.95, + "learning_rate": 1.5384437515722384e-07, + "loss": 0.7574, + "step": 4936 + }, + { + "epoch": 0.95, + "learning_rate": 1.5276182843802722e-07, + "loss": 0.8238, + "step": 4937 + }, + { + "epoch": 0.95, + "learning_rate": 1.5168307460572517e-07, + "loss": 0.7658, + "step": 4938 + }, + { + "epoch": 0.95, + "learning_rate": 1.506081140758231e-07, + "loss": 0.8184, + "step": 4939 + }, + { + "epoch": 0.95, + "learning_rate": 1.4953694726236646e-07, + "loss": 0.8232, + "step": 4940 + }, + { + "epoch": 0.95, + "learning_rate": 1.4846957457793965e-07, + "loss": 0.7689, + "step": 4941 + }, + { + "epoch": 0.95, + "learning_rate": 1.4740599643366605e-07, + "loss": 0.7232, + "step": 4942 + }, + { + "epoch": 0.95, + "learning_rate": 1.4634621323920571e-07, + "loss": 0.7008, + "step": 4943 + }, + { + "epoch": 0.95, + "learning_rate": 1.4529022540275884e-07, + "loss": 0.7614, + "step": 4944 + }, + { + "epoch": 0.95, + "learning_rate": 1.4423803333106334e-07, + "loss": 0.78, + "step": 4945 + }, + { + "epoch": 0.95, + "learning_rate": 1.4318963742939396e-07, + "loss": 0.801, + "step": 4946 + }, + { + "epoch": 0.95, + "learning_rate": 1.4214503810156543e-07, + "loss": 0.781, + "step": 4947 + }, + { + "epoch": 0.95, + "learning_rate": 1.4110423574992705e-07, + "loss": 0.8106, + "step": 4948 + }, + { + "epoch": 0.95, + "learning_rate": 1.4006723077536922e-07, + "loss": 0.7944, + "step": 4949 + }, + { + "epoch": 0.95, + "learning_rate": 1.3903402357731688e-07, + "loss": 0.8135, + "step": 4950 + }, + { + "epoch": 0.95, + "learning_rate": 1.380046145537328e-07, + "loss": 0.3709, + "step": 4951 + }, + { + "epoch": 0.95, + "learning_rate": 1.3697900410111987e-07, + "loss": 0.7149, + "step": 4952 + }, + { + "epoch": 0.95, + "learning_rate": 1.359571926145109e-07, + "loss": 0.8558, + "step": 4953 + }, + { + "epoch": 0.95, + "learning_rate": 1.3493918048748224e-07, + "loss": 0.7957, + "step": 4954 + }, + { + "epoch": 0.95, + "learning_rate": 1.3392496811214573e-07, + "loss": 0.761, + "step": 4955 + }, + { + "epoch": 0.95, + "learning_rate": 1.3291455587914558e-07, + "loss": 0.7935, + "step": 4956 + }, + { + "epoch": 0.95, + "learning_rate": 1.3190794417766606e-07, + "loss": 0.7181, + "step": 4957 + }, + { + "epoch": 0.95, + "learning_rate": 1.3090513339542698e-07, + "loss": 0.7258, + "step": 4958 + }, + { + "epoch": 0.95, + "learning_rate": 1.2990612391868163e-07, + "loss": 0.798, + "step": 4959 + }, + { + "epoch": 0.95, + "learning_rate": 1.289109161322233e-07, + "loss": 0.7937, + "step": 4960 + }, + { + "epoch": 0.95, + "learning_rate": 1.2791951041937755e-07, + "loss": 0.6997, + "step": 4961 + }, + { + "epoch": 0.95, + "learning_rate": 1.26931907162009e-07, + "loss": 0.8657, + "step": 4962 + }, + { + "epoch": 0.95, + "learning_rate": 1.2594810674051217e-07, + "loss": 0.7878, + "step": 4963 + }, + { + "epoch": 0.95, + "learning_rate": 1.2496810953382177e-07, + "loss": 0.732, + "step": 4964 + }, + { + "epoch": 0.95, + "learning_rate": 1.2399191591940585e-07, + "loss": 0.797, + "step": 4965 + }, + { + "epoch": 0.95, + "learning_rate": 1.2301952627326696e-07, + "loss": 0.7893, + "step": 4966 + }, + { + "epoch": 0.95, + "learning_rate": 1.2205094096994442e-07, + "loss": 0.7869, + "step": 4967 + }, + { + "epoch": 0.95, + "learning_rate": 1.2108616038250976e-07, + "loss": 0.7911, + "step": 4968 + }, + { + "epoch": 0.95, + "learning_rate": 1.2012518488256908e-07, + "loss": 0.779, + "step": 4969 + }, + { + "epoch": 0.95, + "learning_rate": 1.191680148402663e-07, + "loss": 0.767, + "step": 4970 + }, + { + "epoch": 0.95, + "learning_rate": 1.182146506242754e-07, + "loss": 0.7403, + "step": 4971 + }, + { + "epoch": 0.95, + "learning_rate": 1.1726509260180596e-07, + "loss": 0.8144, + "step": 4972 + }, + { + "epoch": 0.95, + "learning_rate": 1.1631934113860322e-07, + "loss": 0.7889, + "step": 4973 + }, + { + "epoch": 0.95, + "learning_rate": 1.1537739659894353e-07, + "loss": 0.7305, + "step": 4974 + }, + { + "epoch": 0.95, + "learning_rate": 1.1443925934563894e-07, + "loss": 0.7212, + "step": 4975 + }, + { + "epoch": 0.95, + "learning_rate": 1.1350492974003368e-07, + "loss": 0.8039, + "step": 4976 + }, + { + "epoch": 0.95, + "learning_rate": 1.1257440814200548e-07, + "loss": 0.7889, + "step": 4977 + }, + { + "epoch": 0.95, + "learning_rate": 1.1164769490996762e-07, + "loss": 0.7803, + "step": 4978 + }, + { + "epoch": 0.95, + "learning_rate": 1.1072479040086348e-07, + "loss": 0.8104, + "step": 4979 + }, + { + "epoch": 0.95, + "learning_rate": 1.098056949701709e-07, + "loss": 0.3466, + "step": 4980 + }, + { + "epoch": 0.95, + "learning_rate": 1.0889040897190006e-07, + "loss": 0.7839, + "step": 4981 + }, + { + "epoch": 0.95, + "learning_rate": 1.0797893275859339e-07, + "loss": 0.7231, + "step": 4982 + }, + { + "epoch": 0.95, + "learning_rate": 1.0707126668132894e-07, + "loss": 0.79, + "step": 4983 + }, + { + "epoch": 0.95, + "learning_rate": 1.0616741108971373e-07, + "loss": 0.358, + "step": 4984 + }, + { + "epoch": 0.96, + "learning_rate": 1.0526736633188595e-07, + "loss": 0.8336, + "step": 4985 + }, + { + "epoch": 0.96, + "learning_rate": 1.043711327545216e-07, + "loss": 0.7818, + "step": 4986 + }, + { + "epoch": 0.96, + "learning_rate": 1.0347871070282345e-07, + "loss": 0.7849, + "step": 4987 + }, + { + "epoch": 0.96, + "learning_rate": 1.0259010052052876e-07, + "loss": 0.747, + "step": 4988 + }, + { + "epoch": 0.96, + "learning_rate": 1.0170530254990485e-07, + "loss": 0.3442, + "step": 4989 + }, + { + "epoch": 0.96, + "learning_rate": 1.0082431713175467e-07, + "loss": 0.7524, + "step": 4990 + }, + { + "epoch": 0.96, + "learning_rate": 9.994714460540455e-08, + "loss": 0.8238, + "step": 4991 + }, + { + "epoch": 0.96, + "learning_rate": 9.907378530872202e-08, + "loss": 0.7862, + "step": 4992 + }, + { + "epoch": 0.96, + "learning_rate": 9.820423957810022e-08, + "loss": 0.8025, + "step": 4993 + }, + { + "epoch": 0.96, + "learning_rate": 9.733850774846231e-08, + "loss": 0.7676, + "step": 4994 + }, + { + "epoch": 0.96, + "learning_rate": 9.647659015326716e-08, + "loss": 0.7912, + "step": 4995 + }, + { + "epoch": 0.96, + "learning_rate": 9.561848712450029e-08, + "loss": 0.7606, + "step": 4996 + }, + { + "epoch": 0.96, + "learning_rate": 9.476419899267953e-08, + "loss": 0.7666, + "step": 4997 + }, + { + "epoch": 0.96, + "learning_rate": 9.39137260868539e-08, + "loss": 0.7375, + "step": 4998 + }, + { + "epoch": 0.96, + "learning_rate": 9.306706873460136e-08, + "loss": 0.8133, + "step": 4999 + }, + { + "epoch": 0.96, + "learning_rate": 9.222422726203218e-08, + "loss": 0.7625, + "step": 5000 + }, + { + "epoch": 0.96, + "learning_rate": 9.138520199378664e-08, + "loss": 0.7692, + "step": 5001 + }, + { + "epoch": 0.96, + "learning_rate": 9.054999325303182e-08, + "loss": 0.7617, + "step": 5002 + }, + { + "epoch": 0.96, + "learning_rate": 8.971860136146926e-08, + "loss": 0.7858, + "step": 5003 + }, + { + "epoch": 0.96, + "learning_rate": 8.889102663932836e-08, + "loss": 0.7728, + "step": 5004 + }, + { + "epoch": 0.96, + "learning_rate": 8.806726940536747e-08, + "loss": 0.7814, + "step": 5005 + }, + { + "epoch": 0.96, + "learning_rate": 8.724732997687501e-08, + "loss": 0.7662, + "step": 5006 + }, + { + "epoch": 0.96, + "learning_rate": 8.643120866967059e-08, + "loss": 0.7594, + "step": 5007 + }, + { + "epoch": 0.96, + "learning_rate": 8.561890579810051e-08, + "loss": 0.7753, + "step": 5008 + }, + { + "epoch": 0.96, + "learning_rate": 8.481042167504228e-08, + "loss": 0.7755, + "step": 5009 + }, + { + "epoch": 0.96, + "learning_rate": 8.400575661190235e-08, + "loss": 0.7661, + "step": 5010 + }, + { + "epoch": 0.96, + "learning_rate": 8.320491091861393e-08, + "loss": 0.7216, + "step": 5011 + }, + { + "epoch": 0.96, + "learning_rate": 8.24078849036436e-08, + "loss": 0.8107, + "step": 5012 + }, + { + "epoch": 0.96, + "learning_rate": 8.161467887398022e-08, + "loss": 0.2998, + "step": 5013 + }, + { + "epoch": 0.96, + "learning_rate": 8.082529313514942e-08, + "loss": 0.3242, + "step": 5014 + }, + { + "epoch": 0.96, + "learning_rate": 8.003972799119908e-08, + "loss": 0.8067, + "step": 5015 + }, + { + "epoch": 0.96, + "learning_rate": 7.925798374470606e-08, + "loss": 0.7485, + "step": 5016 + }, + { + "epoch": 0.96, + "learning_rate": 7.848006069677839e-08, + "loss": 0.7963, + "step": 5017 + }, + { + "epoch": 0.96, + "learning_rate": 7.770595914705081e-08, + "loss": 0.8086, + "step": 5018 + }, + { + "epoch": 0.96, + "learning_rate": 7.693567939368484e-08, + "loss": 0.7561, + "step": 5019 + }, + { + "epoch": 0.96, + "learning_rate": 7.616922173337315e-08, + "loss": 0.7859, + "step": 5020 + }, + { + "epoch": 0.96, + "learning_rate": 7.540658646133292e-08, + "loss": 0.3227, + "step": 5021 + }, + { + "epoch": 0.96, + "learning_rate": 7.464777387130917e-08, + "loss": 0.7702, + "step": 5022 + }, + { + "epoch": 0.96, + "learning_rate": 7.38927842555781e-08, + "loss": 0.7474, + "step": 5023 + }, + { + "epoch": 0.96, + "learning_rate": 7.314161790494157e-08, + "loss": 0.7475, + "step": 5024 + }, + { + "epoch": 0.96, + "learning_rate": 7.239427510872476e-08, + "loss": 0.7066, + "step": 5025 + }, + { + "epoch": 0.96, + "learning_rate": 7.165075615478745e-08, + "loss": 0.666, + "step": 5026 + }, + { + "epoch": 0.96, + "learning_rate": 7.091106132951054e-08, + "loss": 0.3065, + "step": 5027 + }, + { + "epoch": 0.96, + "learning_rate": 7.0175190917805e-08, + "loss": 0.7792, + "step": 5028 + }, + { + "epoch": 0.96, + "learning_rate": 6.944314520310747e-08, + "loss": 0.7768, + "step": 5029 + }, + { + "epoch": 0.96, + "learning_rate": 6.871492446738348e-08, + "loss": 0.8432, + "step": 5030 + }, + { + "epoch": 0.96, + "learning_rate": 6.799052899112201e-08, + "loss": 0.8043, + "step": 5031 + }, + { + "epoch": 0.96, + "learning_rate": 6.726995905334099e-08, + "loss": 0.7984, + "step": 5032 + }, + { + "epoch": 0.96, + "learning_rate": 6.655321493158396e-08, + "loss": 0.7632, + "step": 5033 + }, + { + "epoch": 0.96, + "learning_rate": 6.584029690192228e-08, + "loss": 0.7826, + "step": 5034 + }, + { + "epoch": 0.96, + "learning_rate": 6.513120523895189e-08, + "loss": 0.7807, + "step": 5035 + }, + { + "epoch": 0.96, + "learning_rate": 6.442594021579429e-08, + "loss": 0.7878, + "step": 5036 + }, + { + "epoch": 0.96, + "learning_rate": 6.372450210409997e-08, + "loss": 0.7654, + "step": 5037 + }, + { + "epoch": 0.97, + "learning_rate": 6.302689117404281e-08, + "loss": 0.755, + "step": 5038 + }, + { + "epoch": 0.97, + "learning_rate": 6.233310769432455e-08, + "loss": 0.7495, + "step": 5039 + }, + { + "epoch": 0.97, + "learning_rate": 6.164315193216919e-08, + "loss": 0.7274, + "step": 5040 + }, + { + "epoch": 0.97, + "learning_rate": 6.095702415333193e-08, + "loss": 0.7822, + "step": 5041 + }, + { + "epoch": 0.97, + "learning_rate": 6.027472462208806e-08, + "loss": 0.7653, + "step": 5042 + }, + { + "epoch": 0.97, + "learning_rate": 5.959625360124177e-08, + "loss": 0.8172, + "step": 5043 + }, + { + "epoch": 0.97, + "learning_rate": 5.892161135212071e-08, + "loss": 0.7744, + "step": 5044 + }, + { + "epoch": 0.97, + "learning_rate": 5.8250798134580345e-08, + "loss": 0.7891, + "step": 5045 + }, + { + "epoch": 0.97, + "learning_rate": 5.7583814206998436e-08, + "loss": 0.7815, + "step": 5046 + }, + { + "epoch": 0.97, + "learning_rate": 5.692065982627837e-08, + "loss": 0.7933, + "step": 5047 + }, + { + "epoch": 0.97, + "learning_rate": 5.6261335247850265e-08, + "loss": 0.7684, + "step": 5048 + }, + { + "epoch": 0.97, + "learning_rate": 5.560584072566766e-08, + "loss": 0.7961, + "step": 5049 + }, + { + "epoch": 0.97, + "learning_rate": 5.495417651220747e-08, + "loss": 0.7948, + "step": 5050 + }, + { + "epoch": 0.97, + "learning_rate": 5.430634285847558e-08, + "loss": 0.3472, + "step": 5051 + }, + { + "epoch": 0.97, + "learning_rate": 5.366234001399795e-08, + "loss": 0.788, + "step": 5052 + }, + { + "epoch": 0.97, + "learning_rate": 5.302216822682726e-08, + "loss": 0.8172, + "step": 5053 + }, + { + "epoch": 0.97, + "learning_rate": 5.238582774354073e-08, + "loss": 0.8116, + "step": 5054 + }, + { + "epoch": 0.97, + "learning_rate": 5.175331880923895e-08, + "loss": 0.3073, + "step": 5055 + }, + { + "epoch": 0.97, + "learning_rate": 5.112464166754705e-08, + "loss": 0.7766, + "step": 5056 + }, + { + "epoch": 0.97, + "learning_rate": 5.0499796560614656e-08, + "loss": 0.7702, + "step": 5057 + }, + { + "epoch": 0.97, + "learning_rate": 4.98787837291137e-08, + "loss": 0.8255, + "step": 5058 + }, + { + "epoch": 0.97, + "learning_rate": 4.926160341224284e-08, + "loss": 0.7068, + "step": 5059 + }, + { + "epoch": 0.97, + "learning_rate": 4.864825584772303e-08, + "loss": 0.7915, + "step": 5060 + }, + { + "epoch": 0.97, + "learning_rate": 4.803874127179753e-08, + "loss": 0.7807, + "step": 5061 + }, + { + "epoch": 0.97, + "learning_rate": 4.74330599192363e-08, + "loss": 0.7463, + "step": 5062 + }, + { + "epoch": 0.97, + "learning_rate": 4.6831212023330516e-08, + "loss": 0.7203, + "step": 5063 + }, + { + "epoch": 0.97, + "learning_rate": 4.6233197815894747e-08, + "loss": 0.7774, + "step": 5064 + }, + { + "epoch": 0.97, + "learning_rate": 4.563901752726918e-08, + "loss": 0.8, + "step": 5065 + }, + { + "epoch": 0.97, + "learning_rate": 4.504867138631519e-08, + "loss": 0.7641, + "step": 5066 + }, + { + "epoch": 0.97, + "learning_rate": 4.4462159620418665e-08, + "loss": 0.7701, + "step": 5067 + }, + { + "epoch": 0.97, + "learning_rate": 4.387948245548668e-08, + "loss": 0.7936, + "step": 5068 + }, + { + "epoch": 0.97, + "learning_rate": 4.3300640115950806e-08, + "loss": 0.7913, + "step": 5069 + }, + { + "epoch": 0.97, + "learning_rate": 4.272563282476494e-08, + "loss": 0.8571, + "step": 5070 + }, + { + "epoch": 0.97, + "learning_rate": 4.215446080340746e-08, + "loss": 0.7703, + "step": 5071 + }, + { + "epoch": 0.97, + "learning_rate": 4.158712427187683e-08, + "loss": 0.777, + "step": 5072 + }, + { + "epoch": 0.97, + "learning_rate": 4.102362344869826e-08, + "loss": 0.7736, + "step": 5073 + }, + { + "epoch": 0.97, + "learning_rate": 4.046395855091256e-08, + "loss": 0.77, + "step": 5074 + }, + { + "epoch": 0.97, + "learning_rate": 3.990812979409064e-08, + "loss": 0.767, + "step": 5075 + }, + { + "epoch": 0.97, + "learning_rate": 3.935613739232236e-08, + "loss": 0.7652, + "step": 5076 + }, + { + "epoch": 0.97, + "learning_rate": 3.880798155821763e-08, + "loss": 0.822, + "step": 5077 + }, + { + "epoch": 0.97, + "learning_rate": 3.8263662502913136e-08, + "loss": 0.797, + "step": 5078 + }, + { + "epoch": 0.97, + "learning_rate": 3.772318043606671e-08, + "loss": 0.7455, + "step": 5079 + }, + { + "epoch": 0.97, + "learning_rate": 3.718653556585517e-08, + "loss": 0.7331, + "step": 5080 + }, + { + "epoch": 0.97, + "learning_rate": 3.6653728098978716e-08, + "loss": 0.3629, + "step": 5081 + }, + { + "epoch": 0.97, + "learning_rate": 3.612475824066319e-08, + "loss": 0.8189, + "step": 5082 + }, + { + "epoch": 0.97, + "learning_rate": 3.559962619465118e-08, + "loss": 0.7876, + "step": 5083 + }, + { + "epoch": 0.97, + "learning_rate": 3.5078332163209774e-08, + "loss": 0.8335, + "step": 5084 + }, + { + "epoch": 0.97, + "learning_rate": 3.456087634712724e-08, + "loss": 0.7123, + "step": 5085 + }, + { + "epoch": 0.97, + "learning_rate": 3.404725894571415e-08, + "loss": 0.7924, + "step": 5086 + }, + { + "epoch": 0.97, + "learning_rate": 3.353748015680003e-08, + "loss": 0.7872, + "step": 5087 + }, + { + "epoch": 0.97, + "learning_rate": 3.303154017673893e-08, + "loss": 0.8558, + "step": 5088 + }, + { + "epoch": 0.97, + "learning_rate": 3.252943920040497e-08, + "loss": 0.7786, + "step": 5089 + }, + { + "epoch": 0.98, + "learning_rate": 3.203117742119344e-08, + "loss": 0.7363, + "step": 5090 + }, + { + "epoch": 0.98, + "learning_rate": 3.153675503102194e-08, + "loss": 0.7295, + "step": 5091 + }, + { + "epoch": 0.98, + "learning_rate": 3.104617222032813e-08, + "loss": 0.8367, + "step": 5092 + }, + { + "epoch": 0.98, + "learning_rate": 3.0559429178070867e-08, + "loss": 0.7863, + "step": 5093 + }, + { + "epoch": 0.98, + "learning_rate": 3.0076526091730174e-08, + "loss": 0.3406, + "step": 5094 + }, + { + "epoch": 0.98, + "learning_rate": 2.959746314730616e-08, + "loss": 0.7453, + "step": 5095 + }, + { + "epoch": 0.98, + "learning_rate": 2.9122240529323443e-08, + "loss": 0.8215, + "step": 5096 + }, + { + "epoch": 0.98, + "learning_rate": 2.865085842082227e-08, + "loss": 0.8184, + "step": 5097 + }, + { + "epoch": 0.98, + "learning_rate": 2.8183317003367406e-08, + "loss": 0.8018, + "step": 5098 + }, + { + "epoch": 0.98, + "learning_rate": 2.7719616457042576e-08, + "loss": 0.7809, + "step": 5099 + }, + { + "epoch": 0.98, + "learning_rate": 2.725975696045269e-08, + "loss": 0.3482, + "step": 5100 + }, + { + "epoch": 0.98, + "learning_rate": 2.6803738690722724e-08, + "loss": 0.8004, + "step": 5101 + }, + { + "epoch": 0.98, + "learning_rate": 2.635156182349885e-08, + "loss": 0.8298, + "step": 5102 + }, + { + "epoch": 0.98, + "learning_rate": 2.5903226532946192e-08, + "loss": 0.7679, + "step": 5103 + }, + { + "epoch": 0.98, + "learning_rate": 2.5458732991753278e-08, + "loss": 0.3267, + "step": 5104 + }, + { + "epoch": 0.98, + "learning_rate": 2.501808137112649e-08, + "loss": 0.7066, + "step": 5105 + }, + { + "epoch": 0.98, + "learning_rate": 2.4581271840790067e-08, + "loss": 0.7961, + "step": 5106 + }, + { + "epoch": 0.98, + "learning_rate": 2.4148304568994974e-08, + "loss": 0.7376, + "step": 5107 + }, + { + "epoch": 0.98, + "learning_rate": 2.371917972250559e-08, + "loss": 0.764, + "step": 5108 + }, + { + "epoch": 0.98, + "learning_rate": 2.3293897466609705e-08, + "loss": 0.8006, + "step": 5109 + }, + { + "epoch": 0.98, + "learning_rate": 2.2872457965115168e-08, + "loss": 0.7066, + "step": 5110 + }, + { + "epoch": 0.98, + "learning_rate": 2.245486138034769e-08, + "loss": 0.7885, + "step": 5111 + }, + { + "epoch": 0.98, + "learning_rate": 2.2041107873155278e-08, + "loss": 0.775, + "step": 5112 + }, + { + "epoch": 0.98, + "learning_rate": 2.1631197602903775e-08, + "loss": 0.7673, + "step": 5113 + }, + { + "epoch": 0.98, + "learning_rate": 2.1225130727480224e-08, + "loss": 0.8096, + "step": 5114 + }, + { + "epoch": 0.98, + "learning_rate": 2.0822907403289516e-08, + "loss": 0.7591, + "step": 5115 + }, + { + "epoch": 0.98, + "learning_rate": 2.042452778525772e-08, + "loss": 0.7464, + "step": 5116 + }, + { + "epoch": 0.98, + "learning_rate": 2.002999202682987e-08, + "loss": 0.7282, + "step": 5117 + }, + { + "epoch": 0.98, + "learning_rate": 1.9639300279968855e-08, + "loss": 0.8267, + "step": 5118 + }, + { + "epoch": 0.98, + "learning_rate": 1.925245269515985e-08, + "loss": 0.7783, + "step": 5119 + }, + { + "epoch": 0.98, + "learning_rate": 1.8869449421405895e-08, + "loss": 0.7776, + "step": 5120 + }, + { + "epoch": 0.98, + "learning_rate": 1.8490290606230088e-08, + "loss": 0.7535, + "step": 5121 + }, + { + "epoch": 0.98, + "learning_rate": 1.811497639567228e-08, + "loss": 0.7602, + "step": 5122 + }, + { + "epoch": 0.98, + "learning_rate": 1.77435069342935e-08, + "loss": 0.7566, + "step": 5123 + }, + { + "epoch": 0.98, + "learning_rate": 1.7375882365175956e-08, + "loss": 0.7895, + "step": 5124 + }, + { + "epoch": 0.98, + "learning_rate": 1.7012102829915278e-08, + "loss": 0.7738, + "step": 5125 + }, + { + "epoch": 0.98, + "learning_rate": 1.6652168468631602e-08, + "loss": 0.8186, + "step": 5126 + }, + { + "epoch": 0.98, + "learning_rate": 1.6296079419960697e-08, + "loss": 0.7837, + "step": 5127 + }, + { + "epoch": 0.98, + "learning_rate": 1.5943835821059516e-08, + "loss": 0.7832, + "step": 5128 + }, + { + "epoch": 0.98, + "learning_rate": 1.5595437807601756e-08, + "loss": 0.8002, + "step": 5129 + }, + { + "epoch": 0.98, + "learning_rate": 1.5250885513781177e-08, + "loss": 0.7967, + "step": 5130 + }, + { + "epoch": 0.98, + "learning_rate": 1.4910179072309406e-08, + "loss": 0.7906, + "step": 5131 + }, + { + "epoch": 0.98, + "learning_rate": 1.457331861441702e-08, + "loss": 0.7614, + "step": 5132 + }, + { + "epoch": 0.98, + "learning_rate": 1.4240304269854676e-08, + "loss": 0.8222, + "step": 5133 + }, + { + "epoch": 0.98, + "learning_rate": 1.3911136166889772e-08, + "loss": 0.3199, + "step": 5134 + }, + { + "epoch": 0.98, + "learning_rate": 1.3585814432308664e-08, + "loss": 0.7212, + "step": 5135 + }, + { + "epoch": 0.98, + "learning_rate": 1.3264339191416675e-08, + "loss": 0.7317, + "step": 5136 + }, + { + "epoch": 0.98, + "learning_rate": 1.2946710568035869e-08, + "loss": 0.7392, + "step": 5137 + }, + { + "epoch": 0.98, + "learning_rate": 1.2632928684510603e-08, + "loss": 0.3179, + "step": 5138 + }, + { + "epoch": 0.98, + "learning_rate": 1.2322993661699756e-08, + "loss": 0.3527, + "step": 5139 + }, + { + "epoch": 0.98, + "learning_rate": 1.2016905618982277e-08, + "loss": 0.7811, + "step": 5140 + }, + { + "epoch": 0.98, + "learning_rate": 1.1714664674253861e-08, + "loss": 0.7772, + "step": 5141 + }, + { + "epoch": 0.99, + "learning_rate": 1.1416270943930275e-08, + "loss": 0.7571, + "step": 5142 + }, + { + "epoch": 0.99, + "learning_rate": 1.1121724542945133e-08, + "loss": 0.8243, + "step": 5143 + }, + { + "epoch": 0.99, + "learning_rate": 1.08310255847488e-08, + "loss": 0.7993, + "step": 5144 + }, + { + "epoch": 0.99, + "learning_rate": 1.0544174181310596e-08, + "loss": 0.8125, + "step": 5145 + }, + { + "epoch": 0.99, + "learning_rate": 1.0261170443117696e-08, + "loss": 0.758, + "step": 5146 + }, + { + "epoch": 0.99, + "learning_rate": 9.982014479176239e-09, + "loss": 0.808, + "step": 5147 + }, + { + "epoch": 0.99, + "learning_rate": 9.706706397007993e-09, + "loss": 0.7441, + "step": 5148 + }, + { + "epoch": 0.99, + "learning_rate": 9.435246302655909e-09, + "loss": 0.8294, + "step": 5149 + }, + { + "epoch": 0.99, + "learning_rate": 9.167634300678573e-09, + "loss": 0.7945, + "step": 5150 + }, + { + "epoch": 0.99, + "learning_rate": 8.903870494151312e-09, + "loss": 0.3634, + "step": 5151 + }, + { + "epoch": 0.99, + "learning_rate": 8.643954984670633e-09, + "loss": 0.7625, + "step": 5152 + }, + { + "epoch": 0.99, + "learning_rate": 8.387887872347567e-09, + "loss": 0.6942, + "step": 5153 + }, + { + "epoch": 0.99, + "learning_rate": 8.135669255813217e-09, + "loss": 0.7971, + "step": 5154 + }, + { + "epoch": 0.99, + "learning_rate": 7.887299232214318e-09, + "loss": 0.7592, + "step": 5155 + }, + { + "epoch": 0.99, + "learning_rate": 7.642777897216568e-09, + "loss": 0.7837, + "step": 5156 + }, + { + "epoch": 0.99, + "learning_rate": 7.4021053450035185e-09, + "loss": 0.703, + "step": 5157 + }, + { + "epoch": 0.99, + "learning_rate": 7.165281668274348e-09, + "loss": 0.7518, + "step": 5158 + }, + { + "epoch": 0.99, + "learning_rate": 6.932306958248314e-09, + "loss": 0.803, + "step": 5159 + }, + { + "epoch": 0.99, + "learning_rate": 6.7031813046603004e-09, + "loss": 0.7368, + "step": 5160 + }, + { + "epoch": 0.99, + "learning_rate": 6.477904795764156e-09, + "loss": 0.807, + "step": 5161 + }, + { + "epoch": 0.99, + "learning_rate": 6.256477518328252e-09, + "loss": 0.7013, + "step": 5162 + }, + { + "epoch": 0.99, + "learning_rate": 6.038899557642142e-09, + "loss": 0.746, + "step": 5163 + }, + { + "epoch": 0.99, + "learning_rate": 5.825170997509899e-09, + "loss": 0.7177, + "step": 5164 + }, + { + "epoch": 0.99, + "learning_rate": 5.615291920254562e-09, + "loss": 0.7842, + "step": 5165 + }, + { + "epoch": 0.99, + "learning_rate": 5.409262406715909e-09, + "loss": 0.7758, + "step": 5166 + }, + { + "epoch": 0.99, + "learning_rate": 5.207082536249353e-09, + "loss": 0.668, + "step": 5167 + }, + { + "epoch": 0.99, + "learning_rate": 5.008752386730375e-09, + "loss": 0.7956, + "step": 5168 + }, + { + "epoch": 0.99, + "learning_rate": 4.814272034551204e-09, + "loss": 0.7951, + "step": 5169 + }, + { + "epoch": 0.99, + "learning_rate": 4.623641554618585e-09, + "loss": 0.7706, + "step": 5170 + }, + { + "epoch": 0.99, + "learning_rate": 4.43686102035934e-09, + "loss": 0.7608, + "step": 5171 + }, + { + "epoch": 0.99, + "learning_rate": 4.253930503714809e-09, + "loss": 0.8451, + "step": 5172 + }, + { + "epoch": 0.99, + "learning_rate": 4.0748500751475184e-09, + "loss": 0.8141, + "step": 5173 + }, + { + "epoch": 0.99, + "learning_rate": 3.899619803631183e-09, + "loss": 0.7544, + "step": 5174 + }, + { + "epoch": 0.99, + "learning_rate": 3.7282397566618114e-09, + "loss": 0.3136, + "step": 5175 + }, + { + "epoch": 0.99, + "learning_rate": 3.5607100002488236e-09, + "loss": 0.7355, + "step": 5176 + }, + { + "epoch": 0.99, + "learning_rate": 3.3970305989217134e-09, + "loss": 0.751, + "step": 5177 + }, + { + "epoch": 0.99, + "learning_rate": 3.2372016157244946e-09, + "loss": 0.742, + "step": 5178 + }, + { + "epoch": 0.99, + "learning_rate": 3.0812231122179238e-09, + "loss": 0.8104, + "step": 5179 + }, + { + "epoch": 0.99, + "learning_rate": 2.9290951484828302e-09, + "loss": 0.8256, + "step": 5180 + }, + { + "epoch": 0.99, + "learning_rate": 2.780817783113454e-09, + "loss": 0.7952, + "step": 5181 + }, + { + "epoch": 0.99, + "learning_rate": 2.636391073221889e-09, + "loss": 0.8016, + "step": 5182 + }, + { + "epoch": 0.99, + "learning_rate": 2.4958150744380795e-09, + "loss": 0.7651, + "step": 5183 + }, + { + "epoch": 0.99, + "learning_rate": 2.3590898409076025e-09, + "loss": 0.7702, + "step": 5184 + }, + { + "epoch": 0.99, + "learning_rate": 2.2262154252938873e-09, + "loss": 0.7254, + "step": 5185 + }, + { + "epoch": 0.99, + "learning_rate": 2.0971918787759948e-09, + "loss": 0.7785, + "step": 5186 + }, + { + "epoch": 0.99, + "learning_rate": 1.9720192510497283e-09, + "loss": 0.8563, + "step": 5187 + }, + { + "epoch": 0.99, + "learning_rate": 1.850697590329853e-09, + "loss": 0.7675, + "step": 5188 + }, + { + "epoch": 0.99, + "learning_rate": 1.7332269433445458e-09, + "loss": 0.7637, + "step": 5189 + }, + { + "epoch": 0.99, + "learning_rate": 1.619607355339836e-09, + "loss": 0.7081, + "step": 5190 + }, + { + "epoch": 0.99, + "learning_rate": 1.5098388700807154e-09, + "loss": 0.8411, + "step": 5191 + }, + { + "epoch": 0.99, + "learning_rate": 1.4039215298466968e-09, + "loss": 0.8319, + "step": 5192 + }, + { + "epoch": 0.99, + "learning_rate": 1.3018553754329255e-09, + "loss": 0.8089, + "step": 5193 + }, + { + "epoch": 1.0, + "learning_rate": 1.203640446153509e-09, + "loss": 0.812, + "step": 5194 + }, + { + "epoch": 1.0, + "learning_rate": 1.1092767798381866e-09, + "loss": 0.8024, + "step": 5195 + }, + { + "epoch": 1.0, + "learning_rate": 1.0187644128334395e-09, + "loss": 0.7191, + "step": 5196 + }, + { + "epoch": 1.0, + "learning_rate": 9.321033800013813e-10, + "loss": 0.7833, + "step": 5197 + }, + { + "epoch": 1.0, + "learning_rate": 8.492937147208668e-10, + "loss": 0.7554, + "step": 5198 + }, + { + "epoch": 1.0, + "learning_rate": 7.703354488897141e-10, + "loss": 0.3576, + "step": 5199 + }, + { + "epoch": 1.0, + "learning_rate": 6.952286129191521e-10, + "loss": 0.8356, + "step": 5200 + }, + { + "epoch": 1.0, + "learning_rate": 6.239732357393724e-10, + "loss": 0.787, + "step": 5201 + }, + { + "epoch": 1.0, + "learning_rate": 5.565693447950882e-10, + "loss": 0.7039, + "step": 5202 + }, + { + "epoch": 1.0, + "learning_rate": 4.930169660488649e-10, + "loss": 0.8347, + "step": 5203 + }, + { + "epoch": 1.0, + "learning_rate": 4.333161239788997e-10, + "loss": 0.7925, + "step": 5204 + }, + { + "epoch": 1.0, + "learning_rate": 3.7746684158124216e-10, + "loss": 0.7394, + "step": 5205 + }, + { + "epoch": 1.0, + "learning_rate": 3.2546914036646335e-10, + "loss": 0.7741, + "step": 5206 + }, + { + "epoch": 1.0, + "learning_rate": 2.7732304036298673e-10, + "loss": 0.7825, + "step": 5207 + }, + { + "epoch": 1.0, + "learning_rate": 2.330285601159776e-10, + "loss": 0.6968, + "step": 5208 + }, + { + "epoch": 1.0, + "learning_rate": 1.9258571668512306e-10, + "loss": 0.8186, + "step": 5209 + }, + { + "epoch": 1.0, + "learning_rate": 1.5599452564907246e-10, + "loss": 0.8255, + "step": 5210 + }, + { + "epoch": 1.0, + "learning_rate": 1.232550011021072e-10, + "loss": 0.8293, + "step": 5211 + }, + { + "epoch": 1.0, + "learning_rate": 9.436715565303012e-11, + "loss": 0.6935, + "step": 5212 + }, + { + "epoch": 1.0, + "learning_rate": 6.933100042960661e-11, + "loss": 0.7641, + "step": 5213 + }, + { + "epoch": 1.0, + "learning_rate": 4.8146545076344084e-11, + "loss": 0.7934, + "step": 5214 + }, + { + "epoch": 1.0, + "learning_rate": 3.081379775005111e-11, + "loss": 0.7425, + "step": 5215 + }, + { + "epoch": 1.0, + "learning_rate": 1.7332765128719174e-11, + "loss": 0.7728, + "step": 5216 + }, + { + "epoch": 1.0, + "learning_rate": 7.703452404861367e-12, + "loss": 0.8243, + "step": 5217 + }, + { + "epoch": 1.0, + "learning_rate": 1.9258632866225867e-12, + "loss": 0.7949, + "step": 5218 + }, + { + "epoch": 1.0, + "learning_rate": 0.0, + "loss": 0.6442, + "step": 5219 + }, + { + "epoch": 1.0, + "step": 5219, + "total_flos": 1.0199943414939648e+16, + "train_loss": 0.8014171527340669, + "train_runtime": 71013.2852, + "train_samples_per_second": 9.408, + "train_steps_per_second": 0.073 + } + ], + "max_steps": 5219, + "num_train_epochs": 1, + "total_flos": 1.0199943414939648e+16, + "trial_name": null, + "trial_params": null +}