diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,19339 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 2.9986027014438754, + "global_step": 3219, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 2.061855670103093e-07, + "loss": 1.8911, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 4.123711340206186e-07, + "loss": 1.9268, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 6.185567010309279e-07, + "loss": 1.9531, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 8.247422680412372e-07, + "loss": 1.9146, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 1.0309278350515464e-06, + "loss": 1.9058, + "step": 5 + }, + { + "epoch": 0.01, + "learning_rate": 1.2371134020618557e-06, + "loss": 1.875, + "step": 6 + }, + { + "epoch": 0.01, + "learning_rate": 1.4432989690721649e-06, + "loss": 1.9326, + "step": 7 + }, + { + "epoch": 0.01, + "learning_rate": 1.6494845360824744e-06, + "loss": 1.9048, + "step": 8 + }, + { + "epoch": 0.01, + "learning_rate": 1.8556701030927837e-06, + "loss": 1.8472, + "step": 9 + }, + { + "epoch": 0.01, + "learning_rate": 2.061855670103093e-06, + "loss": 1.8496, + "step": 10 + }, + { + "epoch": 0.01, + "learning_rate": 2.268041237113402e-06, + "loss": 1.7266, + "step": 11 + }, + { + "epoch": 0.01, + "learning_rate": 2.4742268041237115e-06, + "loss": 1.7432, + "step": 12 + }, + { + "epoch": 0.01, + "learning_rate": 2.680412371134021e-06, + "loss": 1.6343, + "step": 13 + }, + { + "epoch": 0.01, + "learning_rate": 2.8865979381443297e-06, + "loss": 1.4761, + "step": 14 + }, + { + "epoch": 0.01, + "learning_rate": 3.0927835051546395e-06, + "loss": 1.4399, + "step": 15 + }, + { + "epoch": 0.01, + "learning_rate": 3.298969072164949e-06, + "loss": 1.397, + "step": 16 + }, + { + "epoch": 0.02, + "learning_rate": 3.5051546391752577e-06, + "loss": 1.4282, + "step": 17 + }, + { + "epoch": 0.02, + "learning_rate": 3.7113402061855674e-06, + "loss": 1.3462, + "step": 18 + }, + { + "epoch": 0.02, + "learning_rate": 3.917525773195877e-06, + "loss": 1.2822, + "step": 19 + }, + { + "epoch": 0.02, + "learning_rate": 4.123711340206186e-06, + "loss": 1.1787, + "step": 20 + }, + { + "epoch": 0.02, + "learning_rate": 4.329896907216495e-06, + "loss": 1.1567, + "step": 21 + }, + { + "epoch": 0.02, + "learning_rate": 4.536082474226804e-06, + "loss": 1.1489, + "step": 22 + }, + { + "epoch": 0.02, + "learning_rate": 4.742268041237113e-06, + "loss": 1.1079, + "step": 23 + }, + { + "epoch": 0.02, + "learning_rate": 4.948453608247423e-06, + "loss": 1.0691, + "step": 24 + }, + { + "epoch": 0.02, + "learning_rate": 5.154639175257732e-06, + "loss": 1.04, + "step": 25 + }, + { + "epoch": 0.02, + "learning_rate": 5.360824742268042e-06, + "loss": 1.0254, + "step": 26 + }, + { + "epoch": 0.03, + "learning_rate": 5.567010309278351e-06, + "loss": 0.9856, + "step": 27 + }, + { + "epoch": 0.03, + "learning_rate": 5.7731958762886594e-06, + "loss": 0.9565, + "step": 28 + }, + { + "epoch": 0.03, + "learning_rate": 5.979381443298969e-06, + "loss": 0.9863, + "step": 29 + }, + { + "epoch": 0.03, + "learning_rate": 6.185567010309279e-06, + "loss": 0.9231, + "step": 30 + }, + { + "epoch": 0.03, + "learning_rate": 6.391752577319588e-06, + "loss": 0.8923, + "step": 31 + }, + { + "epoch": 0.03, + "learning_rate": 6.597938144329898e-06, + "loss": 0.8979, + "step": 32 + }, + { + "epoch": 0.03, + "learning_rate": 6.804123711340207e-06, + "loss": 0.866, + "step": 33 + }, + { + "epoch": 0.03, + "learning_rate": 7.010309278350515e-06, + "loss": 0.8804, + "step": 34 + }, + { + "epoch": 0.03, + "learning_rate": 7.216494845360825e-06, + "loss": 0.8406, + "step": 35 + }, + { + "epoch": 0.03, + "learning_rate": 7.422680412371135e-06, + "loss": 0.8555, + "step": 36 + }, + { + "epoch": 0.03, + "learning_rate": 7.628865979381444e-06, + "loss": 0.8376, + "step": 37 + }, + { + "epoch": 0.04, + "learning_rate": 7.835051546391754e-06, + "loss": 0.8469, + "step": 38 + }, + { + "epoch": 0.04, + "learning_rate": 8.041237113402063e-06, + "loss": 0.7988, + "step": 39 + }, + { + "epoch": 0.04, + "learning_rate": 8.247422680412371e-06, + "loss": 0.8198, + "step": 40 + }, + { + "epoch": 0.04, + "learning_rate": 8.453608247422681e-06, + "loss": 0.7981, + "step": 41 + }, + { + "epoch": 0.04, + "learning_rate": 8.65979381443299e-06, + "loss": 0.7961, + "step": 42 + }, + { + "epoch": 0.04, + "learning_rate": 8.865979381443299e-06, + "loss": 0.7839, + "step": 43 + }, + { + "epoch": 0.04, + "learning_rate": 9.072164948453609e-06, + "loss": 0.8083, + "step": 44 + }, + { + "epoch": 0.04, + "learning_rate": 9.278350515463918e-06, + "loss": 0.782, + "step": 45 + }, + { + "epoch": 0.04, + "learning_rate": 9.484536082474226e-06, + "loss": 0.7925, + "step": 46 + }, + { + "epoch": 0.04, + "learning_rate": 9.690721649484536e-06, + "loss": 0.7332, + "step": 47 + }, + { + "epoch": 0.04, + "learning_rate": 9.896907216494846e-06, + "loss": 0.7576, + "step": 48 + }, + { + "epoch": 0.05, + "learning_rate": 1.0103092783505156e-05, + "loss": 0.7644, + "step": 49 + }, + { + "epoch": 0.05, + "learning_rate": 1.0309278350515464e-05, + "loss": 0.7537, + "step": 50 + }, + { + "epoch": 0.05, + "learning_rate": 1.0515463917525775e-05, + "loss": 0.7468, + "step": 51 + }, + { + "epoch": 0.05, + "learning_rate": 1.0721649484536083e-05, + "loss": 0.7415, + "step": 52 + }, + { + "epoch": 0.05, + "learning_rate": 1.0927835051546391e-05, + "loss": 0.7148, + "step": 53 + }, + { + "epoch": 0.05, + "learning_rate": 1.1134020618556703e-05, + "loss": 0.719, + "step": 54 + }, + { + "epoch": 0.05, + "learning_rate": 1.134020618556701e-05, + "loss": 0.7112, + "step": 55 + }, + { + "epoch": 0.05, + "learning_rate": 1.1546391752577319e-05, + "loss": 0.7083, + "step": 56 + }, + { + "epoch": 0.05, + "learning_rate": 1.175257731958763e-05, + "loss": 0.7295, + "step": 57 + }, + { + "epoch": 0.05, + "learning_rate": 1.1958762886597938e-05, + "loss": 0.7034, + "step": 58 + }, + { + "epoch": 0.05, + "learning_rate": 1.2164948453608248e-05, + "loss": 0.71, + "step": 59 + }, + { + "epoch": 0.06, + "learning_rate": 1.2371134020618558e-05, + "loss": 0.7161, + "step": 60 + }, + { + "epoch": 0.06, + "learning_rate": 1.2577319587628866e-05, + "loss": 0.6812, + "step": 61 + }, + { + "epoch": 0.06, + "learning_rate": 1.2783505154639176e-05, + "loss": 0.6853, + "step": 62 + }, + { + "epoch": 0.06, + "learning_rate": 1.2989690721649485e-05, + "loss": 0.6804, + "step": 63 + }, + { + "epoch": 0.06, + "learning_rate": 1.3195876288659795e-05, + "loss": 0.6851, + "step": 64 + }, + { + "epoch": 0.06, + "learning_rate": 1.3402061855670103e-05, + "loss": 0.6833, + "step": 65 + }, + { + "epoch": 0.06, + "learning_rate": 1.3608247422680415e-05, + "loss": 0.6628, + "step": 66 + }, + { + "epoch": 0.06, + "learning_rate": 1.3814432989690723e-05, + "loss": 0.6501, + "step": 67 + }, + { + "epoch": 0.06, + "learning_rate": 1.402061855670103e-05, + "loss": 0.6729, + "step": 68 + }, + { + "epoch": 0.06, + "learning_rate": 1.4226804123711342e-05, + "loss": 0.6616, + "step": 69 + }, + { + "epoch": 0.07, + "learning_rate": 1.443298969072165e-05, + "loss": 0.6707, + "step": 70 + }, + { + "epoch": 0.07, + "learning_rate": 1.4639175257731958e-05, + "loss": 0.6716, + "step": 71 + }, + { + "epoch": 0.07, + "learning_rate": 1.484536082474227e-05, + "loss": 0.6423, + "step": 72 + }, + { + "epoch": 0.07, + "learning_rate": 1.5051546391752578e-05, + "loss": 0.656, + "step": 73 + }, + { + "epoch": 0.07, + "learning_rate": 1.5257731958762888e-05, + "loss": 0.6377, + "step": 74 + }, + { + "epoch": 0.07, + "learning_rate": 1.5463917525773197e-05, + "loss": 0.6558, + "step": 75 + }, + { + "epoch": 0.07, + "learning_rate": 1.5670103092783507e-05, + "loss": 0.655, + "step": 76 + }, + { + "epoch": 0.07, + "learning_rate": 1.5876288659793813e-05, + "loss": 0.649, + "step": 77 + }, + { + "epoch": 0.07, + "learning_rate": 1.6082474226804127e-05, + "loss": 0.676, + "step": 78 + }, + { + "epoch": 0.07, + "learning_rate": 1.6288659793814433e-05, + "loss": 0.6672, + "step": 79 + }, + { + "epoch": 0.07, + "learning_rate": 1.6494845360824743e-05, + "loss": 0.647, + "step": 80 + }, + { + "epoch": 0.08, + "learning_rate": 1.6701030927835052e-05, + "loss": 0.6455, + "step": 81 + }, + { + "epoch": 0.08, + "learning_rate": 1.6907216494845362e-05, + "loss": 0.6819, + "step": 82 + }, + { + "epoch": 0.08, + "learning_rate": 1.7113402061855672e-05, + "loss": 0.6404, + "step": 83 + }, + { + "epoch": 0.08, + "learning_rate": 1.731958762886598e-05, + "loss": 0.6053, + "step": 84 + }, + { + "epoch": 0.08, + "learning_rate": 1.752577319587629e-05, + "loss": 0.6367, + "step": 85 + }, + { + "epoch": 0.08, + "learning_rate": 1.7731958762886598e-05, + "loss": 0.6309, + "step": 86 + }, + { + "epoch": 0.08, + "learning_rate": 1.793814432989691e-05, + "loss": 0.6545, + "step": 87 + }, + { + "epoch": 0.08, + "learning_rate": 1.8144329896907217e-05, + "loss": 0.6169, + "step": 88 + }, + { + "epoch": 0.08, + "learning_rate": 1.8350515463917527e-05, + "loss": 0.6396, + "step": 89 + }, + { + "epoch": 0.08, + "learning_rate": 1.8556701030927837e-05, + "loss": 0.6565, + "step": 90 + }, + { + "epoch": 0.08, + "learning_rate": 1.8762886597938147e-05, + "loss": 0.6521, + "step": 91 + }, + { + "epoch": 0.09, + "learning_rate": 1.8969072164948453e-05, + "loss": 0.6292, + "step": 92 + }, + { + "epoch": 0.09, + "learning_rate": 1.9175257731958766e-05, + "loss": 0.6221, + "step": 93 + }, + { + "epoch": 0.09, + "learning_rate": 1.9381443298969072e-05, + "loss": 0.6213, + "step": 94 + }, + { + "epoch": 0.09, + "learning_rate": 1.9587628865979382e-05, + "loss": 0.6387, + "step": 95 + }, + { + "epoch": 0.09, + "learning_rate": 1.9793814432989692e-05, + "loss": 0.6711, + "step": 96 + }, + { + "epoch": 0.09, + "learning_rate": 2e-05, + "loss": 0.6094, + "step": 97 + }, + { + "epoch": 0.09, + "learning_rate": 1.999999493704677e-05, + "loss": 0.5996, + "step": 98 + }, + { + "epoch": 0.09, + "learning_rate": 1.9999979748192203e-05, + "loss": 0.584, + "step": 99 + }, + { + "epoch": 0.09, + "learning_rate": 1.999995443345168e-05, + "loss": 0.6058, + "step": 100 + }, + { + "epoch": 0.09, + "learning_rate": 1.999991899285084e-05, + "loss": 0.6067, + "step": 101 + }, + { + "epoch": 0.1, + "learning_rate": 1.999987342642556e-05, + "loss": 0.6301, + "step": 102 + }, + { + "epoch": 0.1, + "learning_rate": 1.9999817734221983e-05, + "loss": 0.6372, + "step": 103 + }, + { + "epoch": 0.1, + "learning_rate": 1.9999751916296506e-05, + "loss": 0.6249, + "step": 104 + }, + { + "epoch": 0.1, + "learning_rate": 1.9999675972715777e-05, + "loss": 0.657, + "step": 105 + }, + { + "epoch": 0.1, + "learning_rate": 1.999958990355669e-05, + "loss": 0.647, + "step": 106 + }, + { + "epoch": 0.1, + "learning_rate": 1.99994937089064e-05, + "loss": 0.6117, + "step": 107 + }, + { + "epoch": 0.1, + "learning_rate": 1.9999387388862318e-05, + "loss": 0.6088, + "step": 108 + }, + { + "epoch": 0.1, + "learning_rate": 1.9999270943532092e-05, + "loss": 0.5997, + "step": 109 + }, + { + "epoch": 0.1, + "learning_rate": 1.9999144373033642e-05, + "loss": 0.6069, + "step": 110 + }, + { + "epoch": 0.1, + "learning_rate": 1.9999007677495127e-05, + "loss": 0.6304, + "step": 111 + }, + { + "epoch": 0.1, + "learning_rate": 1.999886085705497e-05, + "loss": 0.6492, + "step": 112 + }, + { + "epoch": 0.11, + "learning_rate": 1.9998703911861837e-05, + "loss": 0.6226, + "step": 113 + }, + { + "epoch": 0.11, + "learning_rate": 1.9998536842074644e-05, + "loss": 0.6301, + "step": 114 + }, + { + "epoch": 0.11, + "learning_rate": 1.999835964786257e-05, + "loss": 0.6013, + "step": 115 + }, + { + "epoch": 0.11, + "learning_rate": 1.9998172329405043e-05, + "loss": 0.627, + "step": 116 + }, + { + "epoch": 0.11, + "learning_rate": 1.9997974886891732e-05, + "loss": 0.6316, + "step": 117 + }, + { + "epoch": 0.11, + "learning_rate": 1.999776732052257e-05, + "loss": 0.627, + "step": 118 + }, + { + "epoch": 0.11, + "learning_rate": 1.9997549630507738e-05, + "loss": 0.6255, + "step": 119 + }, + { + "epoch": 0.11, + "learning_rate": 1.9997321817067662e-05, + "loss": 0.6256, + "step": 120 + }, + { + "epoch": 0.11, + "learning_rate": 1.999708388043303e-05, + "loss": 0.6289, + "step": 121 + }, + { + "epoch": 0.11, + "learning_rate": 1.999683582084477e-05, + "loss": 0.599, + "step": 122 + }, + { + "epoch": 0.11, + "learning_rate": 1.999657763855406e-05, + "loss": 0.5879, + "step": 123 + }, + { + "epoch": 0.12, + "learning_rate": 1.9996309333822347e-05, + "loss": 0.6145, + "step": 124 + }, + { + "epoch": 0.12, + "learning_rate": 1.9996030906921302e-05, + "loss": 0.6042, + "step": 125 + }, + { + "epoch": 0.12, + "learning_rate": 1.9995742358132863e-05, + "loss": 0.6328, + "step": 126 + }, + { + "epoch": 0.12, + "learning_rate": 1.9995443687749207e-05, + "loss": 0.5934, + "step": 127 + }, + { + "epoch": 0.12, + "learning_rate": 1.999513489607277e-05, + "loss": 0.6255, + "step": 128 + }, + { + "epoch": 0.12, + "learning_rate": 1.999481598341623e-05, + "loss": 0.6053, + "step": 129 + }, + { + "epoch": 0.12, + "learning_rate": 1.9994486950102513e-05, + "loss": 0.6116, + "step": 130 + }, + { + "epoch": 0.12, + "learning_rate": 1.9994147796464796e-05, + "loss": 0.5989, + "step": 131 + }, + { + "epoch": 0.12, + "learning_rate": 1.999379852284651e-05, + "loss": 0.6281, + "step": 132 + }, + { + "epoch": 0.12, + "learning_rate": 1.9993439129601314e-05, + "loss": 0.5724, + "step": 133 + }, + { + "epoch": 0.12, + "learning_rate": 1.999306961709313e-05, + "loss": 0.6344, + "step": 134 + }, + { + "epoch": 0.13, + "learning_rate": 1.9992689985696126e-05, + "loss": 0.6118, + "step": 135 + }, + { + "epoch": 0.13, + "learning_rate": 1.9992300235794713e-05, + "loss": 0.5969, + "step": 136 + }, + { + "epoch": 0.13, + "learning_rate": 1.9991900367783546e-05, + "loss": 0.6135, + "step": 137 + }, + { + "epoch": 0.13, + "learning_rate": 1.999149038206753e-05, + "loss": 0.6254, + "step": 138 + }, + { + "epoch": 0.13, + "learning_rate": 1.9991070279061808e-05, + "loss": 0.6064, + "step": 139 + }, + { + "epoch": 0.13, + "learning_rate": 1.9990640059191778e-05, + "loss": 0.625, + "step": 140 + }, + { + "epoch": 0.13, + "learning_rate": 1.9990199722893077e-05, + "loss": 0.5938, + "step": 141 + }, + { + "epoch": 0.13, + "learning_rate": 1.9989749270611577e-05, + "loss": 0.6138, + "step": 142 + }, + { + "epoch": 0.13, + "learning_rate": 1.9989288702803408e-05, + "loss": 0.6189, + "step": 143 + }, + { + "epoch": 0.13, + "learning_rate": 1.998881801993494e-05, + "loss": 0.6157, + "step": 144 + }, + { + "epoch": 0.14, + "learning_rate": 1.9988337222482776e-05, + "loss": 0.6083, + "step": 145 + }, + { + "epoch": 0.14, + "learning_rate": 1.9987846310933768e-05, + "loss": 0.5974, + "step": 146 + }, + { + "epoch": 0.14, + "learning_rate": 1.998734528578501e-05, + "loss": 0.6245, + "step": 147 + }, + { + "epoch": 0.14, + "learning_rate": 1.9986834147543835e-05, + "loss": 0.6041, + "step": 148 + }, + { + "epoch": 0.14, + "learning_rate": 1.998631289672782e-05, + "loss": 0.6053, + "step": 149 + }, + { + "epoch": 0.14, + "learning_rate": 1.998578153386477e-05, + "loss": 0.6006, + "step": 150 + }, + { + "epoch": 0.14, + "learning_rate": 1.998524005949275e-05, + "loss": 0.5951, + "step": 151 + }, + { + "epoch": 0.14, + "learning_rate": 1.998468847416004e-05, + "loss": 0.6143, + "step": 152 + }, + { + "epoch": 0.14, + "learning_rate": 1.9984126778425178e-05, + "loss": 0.6006, + "step": 153 + }, + { + "epoch": 0.14, + "learning_rate": 1.9983554972856927e-05, + "loss": 0.5977, + "step": 154 + }, + { + "epoch": 0.14, + "learning_rate": 1.9982973058034297e-05, + "loss": 0.5881, + "step": 155 + }, + { + "epoch": 0.15, + "learning_rate": 1.998238103454653e-05, + "loss": 0.604, + "step": 156 + }, + { + "epoch": 0.15, + "learning_rate": 1.9981778902993096e-05, + "loss": 0.623, + "step": 157 + }, + { + "epoch": 0.15, + "learning_rate": 1.9981166663983715e-05, + "loss": 0.6041, + "step": 158 + }, + { + "epoch": 0.15, + "learning_rate": 1.9980544318138328e-05, + "loss": 0.585, + "step": 159 + }, + { + "epoch": 0.15, + "learning_rate": 1.997991186608712e-05, + "loss": 0.6034, + "step": 160 + }, + { + "epoch": 0.15, + "learning_rate": 1.997926930847051e-05, + "loss": 0.5951, + "step": 161 + }, + { + "epoch": 0.15, + "learning_rate": 1.9978616645939136e-05, + "loss": 0.5986, + "step": 162 + }, + { + "epoch": 0.15, + "learning_rate": 1.997795387915389e-05, + "loss": 0.6152, + "step": 163 + }, + { + "epoch": 0.15, + "learning_rate": 1.9977281008785874e-05, + "loss": 0.5977, + "step": 164 + }, + { + "epoch": 0.15, + "learning_rate": 1.9976598035516436e-05, + "loss": 0.6047, + "step": 165 + }, + { + "epoch": 0.15, + "learning_rate": 1.9975904960037145e-05, + "loss": 0.6058, + "step": 166 + }, + { + "epoch": 0.16, + "learning_rate": 1.9975201783049804e-05, + "loss": 0.5726, + "step": 167 + }, + { + "epoch": 0.16, + "learning_rate": 1.9974488505266443e-05, + "loss": 0.6058, + "step": 168 + }, + { + "epoch": 0.16, + "learning_rate": 1.9973765127409323e-05, + "loss": 0.6108, + "step": 169 + }, + { + "epoch": 0.16, + "learning_rate": 1.9973031650210925e-05, + "loss": 0.5962, + "step": 170 + }, + { + "epoch": 0.16, + "learning_rate": 1.997228807441396e-05, + "loss": 0.6226, + "step": 171 + }, + { + "epoch": 0.16, + "learning_rate": 1.9971534400771376e-05, + "loss": 0.6088, + "step": 172 + }, + { + "epoch": 0.16, + "learning_rate": 1.9970770630046325e-05, + "loss": 0.5883, + "step": 173 + }, + { + "epoch": 0.16, + "learning_rate": 1.9969996763012198e-05, + "loss": 0.5864, + "step": 174 + }, + { + "epoch": 0.16, + "learning_rate": 1.9969212800452608e-05, + "loss": 0.6118, + "step": 175 + }, + { + "epoch": 0.16, + "learning_rate": 1.9968418743161388e-05, + "loss": 0.6074, + "step": 176 + }, + { + "epoch": 0.16, + "learning_rate": 1.9967614591942585e-05, + "loss": 0.6069, + "step": 177 + }, + { + "epoch": 0.17, + "learning_rate": 1.9966800347610483e-05, + "loss": 0.5697, + "step": 178 + }, + { + "epoch": 0.17, + "learning_rate": 1.996597601098958e-05, + "loss": 0.5913, + "step": 179 + }, + { + "epoch": 0.17, + "learning_rate": 1.9965141582914588e-05, + "loss": 0.5912, + "step": 180 + }, + { + "epoch": 0.17, + "learning_rate": 1.9964297064230437e-05, + "loss": 0.6432, + "step": 181 + }, + { + "epoch": 0.17, + "learning_rate": 1.9963442455792282e-05, + "loss": 0.6206, + "step": 182 + }, + { + "epoch": 0.17, + "learning_rate": 1.9962577758465493e-05, + "loss": 0.5896, + "step": 183 + }, + { + "epoch": 0.17, + "learning_rate": 1.9961702973125658e-05, + "loss": 0.5815, + "step": 184 + }, + { + "epoch": 0.17, + "learning_rate": 1.9960818100658566e-05, + "loss": 0.5818, + "step": 185 + }, + { + "epoch": 0.17, + "learning_rate": 1.9959923141960236e-05, + "loss": 0.6077, + "step": 186 + }, + { + "epoch": 0.17, + "learning_rate": 1.99590180979369e-05, + "loss": 0.6157, + "step": 187 + }, + { + "epoch": 0.18, + "learning_rate": 1.995810296950499e-05, + "loss": 0.6047, + "step": 188 + }, + { + "epoch": 0.18, + "learning_rate": 1.9957177757591157e-05, + "loss": 0.5898, + "step": 189 + }, + { + "epoch": 0.18, + "learning_rate": 1.9956242463132268e-05, + "loss": 0.6055, + "step": 190 + }, + { + "epoch": 0.18, + "learning_rate": 1.9955297087075387e-05, + "loss": 0.5531, + "step": 191 + }, + { + "epoch": 0.18, + "learning_rate": 1.9954341630377795e-05, + "loss": 0.5999, + "step": 192 + }, + { + "epoch": 0.18, + "learning_rate": 1.995337609400698e-05, + "loss": 0.5878, + "step": 193 + }, + { + "epoch": 0.18, + "learning_rate": 1.9952400478940633e-05, + "loss": 0.605, + "step": 194 + }, + { + "epoch": 0.18, + "learning_rate": 1.9951414786166656e-05, + "loss": 0.6401, + "step": 195 + }, + { + "epoch": 0.18, + "learning_rate": 1.9950419016683144e-05, + "loss": 0.5625, + "step": 196 + }, + { + "epoch": 0.18, + "learning_rate": 1.9949413171498417e-05, + "loss": 0.6052, + "step": 197 + }, + { + "epoch": 0.18, + "learning_rate": 1.994839725163097e-05, + "loss": 0.5963, + "step": 198 + }, + { + "epoch": 0.19, + "learning_rate": 1.9947371258109522e-05, + "loss": 0.614, + "step": 199 + }, + { + "epoch": 0.19, + "learning_rate": 1.994633519197299e-05, + "loss": 0.5961, + "step": 200 + }, + { + "epoch": 0.19, + "learning_rate": 1.9945289054270472e-05, + "loss": 0.5549, + "step": 201 + }, + { + "epoch": 0.19, + "learning_rate": 1.9944232846061284e-05, + "loss": 0.6011, + "step": 202 + }, + { + "epoch": 0.19, + "learning_rate": 1.9943166568414933e-05, + "loss": 0.615, + "step": 203 + }, + { + "epoch": 0.19, + "learning_rate": 1.9942090222411122e-05, + "loss": 0.6115, + "step": 204 + }, + { + "epoch": 0.19, + "learning_rate": 1.994100380913975e-05, + "loss": 0.5896, + "step": 205 + }, + { + "epoch": 0.19, + "learning_rate": 1.99399073297009e-05, + "loss": 0.6154, + "step": 206 + }, + { + "epoch": 0.19, + "learning_rate": 1.993880078520487e-05, + "loss": 0.5792, + "step": 207 + }, + { + "epoch": 0.19, + "learning_rate": 1.993768417677213e-05, + "loss": 0.603, + "step": 208 + }, + { + "epoch": 0.19, + "learning_rate": 1.9936557505533346e-05, + "loss": 0.6184, + "step": 209 + }, + { + "epoch": 0.2, + "learning_rate": 1.9935420772629374e-05, + "loss": 0.5775, + "step": 210 + }, + { + "epoch": 0.2, + "learning_rate": 1.9934273979211262e-05, + "loss": 0.5771, + "step": 211 + }, + { + "epoch": 0.2, + "learning_rate": 1.9933117126440244e-05, + "loss": 0.6213, + "step": 212 + }, + { + "epoch": 0.2, + "learning_rate": 1.9931950215487735e-05, + "loss": 0.5774, + "step": 213 + }, + { + "epoch": 0.2, + "learning_rate": 1.9930773247535338e-05, + "loss": 0.6014, + "step": 214 + }, + { + "epoch": 0.2, + "learning_rate": 1.992958622377484e-05, + "loss": 0.5974, + "step": 215 + }, + { + "epoch": 0.2, + "learning_rate": 1.9928389145408212e-05, + "loss": 0.6213, + "step": 216 + }, + { + "epoch": 0.2, + "learning_rate": 1.9927182013647604e-05, + "loss": 0.5649, + "step": 217 + }, + { + "epoch": 0.2, + "learning_rate": 1.9925964829715345e-05, + "loss": 0.5994, + "step": 218 + }, + { + "epoch": 0.2, + "learning_rate": 1.9924737594843944e-05, + "loss": 0.5658, + "step": 219 + }, + { + "epoch": 0.2, + "learning_rate": 1.992350031027609e-05, + "loss": 0.6047, + "step": 220 + }, + { + "epoch": 0.21, + "learning_rate": 1.9922252977264642e-05, + "loss": 0.5845, + "step": 221 + }, + { + "epoch": 0.21, + "learning_rate": 1.9920995597072638e-05, + "loss": 0.5616, + "step": 222 + }, + { + "epoch": 0.21, + "learning_rate": 1.9919728170973297e-05, + "loss": 0.5974, + "step": 223 + }, + { + "epoch": 0.21, + "learning_rate": 1.9918450700249994e-05, + "loss": 0.5603, + "step": 224 + }, + { + "epoch": 0.21, + "learning_rate": 1.9917163186196285e-05, + "loss": 0.5753, + "step": 225 + }, + { + "epoch": 0.21, + "learning_rate": 1.9915865630115898e-05, + "loss": 0.5938, + "step": 226 + }, + { + "epoch": 0.21, + "learning_rate": 1.9914558033322723e-05, + "loss": 0.5862, + "step": 227 + }, + { + "epoch": 0.21, + "learning_rate": 1.9913240397140824e-05, + "loss": 0.5775, + "step": 228 + }, + { + "epoch": 0.21, + "learning_rate": 1.9911912722904424e-05, + "loss": 0.5972, + "step": 229 + }, + { + "epoch": 0.21, + "learning_rate": 1.9910575011957917e-05, + "loss": 0.5654, + "step": 230 + }, + { + "epoch": 0.22, + "learning_rate": 1.990922726565585e-05, + "loss": 0.5729, + "step": 231 + }, + { + "epoch": 0.22, + "learning_rate": 1.9907869485362945e-05, + "loss": 0.5835, + "step": 232 + }, + { + "epoch": 0.22, + "learning_rate": 1.9906501672454076e-05, + "loss": 0.5923, + "step": 233 + }, + { + "epoch": 0.22, + "learning_rate": 1.9905123828314274e-05, + "loss": 0.576, + "step": 234 + }, + { + "epoch": 0.22, + "learning_rate": 1.990373595433874e-05, + "loss": 0.6031, + "step": 235 + }, + { + "epoch": 0.22, + "learning_rate": 1.9902338051932808e-05, + "loss": 0.5652, + "step": 236 + }, + { + "epoch": 0.22, + "learning_rate": 1.9900930122511993e-05, + "loss": 0.6172, + "step": 237 + }, + { + "epoch": 0.22, + "learning_rate": 1.9899512167501945e-05, + "loss": 0.5596, + "step": 238 + }, + { + "epoch": 0.22, + "learning_rate": 1.9898084188338472e-05, + "loss": 0.5469, + "step": 239 + }, + { + "epoch": 0.22, + "learning_rate": 1.989664618646754e-05, + "loss": 0.5955, + "step": 240 + }, + { + "epoch": 0.22, + "learning_rate": 1.989519816334525e-05, + "loss": 0.5951, + "step": 241 + }, + { + "epoch": 0.23, + "learning_rate": 1.9893740120437855e-05, + "loss": 0.5698, + "step": 242 + }, + { + "epoch": 0.23, + "learning_rate": 1.9892272059221755e-05, + "loss": 0.5505, + "step": 243 + }, + { + "epoch": 0.23, + "learning_rate": 1.98907939811835e-05, + "loss": 0.5886, + "step": 244 + }, + { + "epoch": 0.23, + "learning_rate": 1.988930588781978e-05, + "loss": 0.5613, + "step": 245 + }, + { + "epoch": 0.23, + "learning_rate": 1.9887807780637415e-05, + "loss": 0.5607, + "step": 246 + }, + { + "epoch": 0.23, + "learning_rate": 1.988629966115338e-05, + "loss": 0.5697, + "step": 247 + }, + { + "epoch": 0.23, + "learning_rate": 1.9884781530894784e-05, + "loss": 0.5743, + "step": 248 + }, + { + "epoch": 0.23, + "learning_rate": 1.9883253391398873e-05, + "loss": 0.564, + "step": 249 + }, + { + "epoch": 0.23, + "learning_rate": 1.988171524421302e-05, + "loss": 0.5549, + "step": 250 + }, + { + "epoch": 0.23, + "learning_rate": 1.988016709089474e-05, + "loss": 0.5629, + "step": 251 + }, + { + "epoch": 0.23, + "learning_rate": 1.9878608933011682e-05, + "loss": 0.5518, + "step": 252 + }, + { + "epoch": 0.24, + "learning_rate": 1.9877040772141624e-05, + "loss": 0.593, + "step": 253 + }, + { + "epoch": 0.24, + "learning_rate": 1.9875462609872466e-05, + "loss": 0.5795, + "step": 254 + }, + { + "epoch": 0.24, + "learning_rate": 1.9873874447802238e-05, + "loss": 0.5897, + "step": 255 + }, + { + "epoch": 0.24, + "learning_rate": 1.9872276287539107e-05, + "loss": 0.5896, + "step": 256 + }, + { + "epoch": 0.24, + "learning_rate": 1.987066813070135e-05, + "loss": 0.5984, + "step": 257 + }, + { + "epoch": 0.24, + "learning_rate": 1.986904997891737e-05, + "loss": 0.592, + "step": 258 + }, + { + "epoch": 0.24, + "learning_rate": 1.9867421833825694e-05, + "loss": 0.6085, + "step": 259 + }, + { + "epoch": 0.24, + "learning_rate": 1.986578369707497e-05, + "loss": 0.5878, + "step": 260 + }, + { + "epoch": 0.24, + "learning_rate": 1.9864135570323954e-05, + "loss": 0.5746, + "step": 261 + }, + { + "epoch": 0.24, + "learning_rate": 1.9862477455241526e-05, + "loss": 0.5723, + "step": 262 + }, + { + "epoch": 0.24, + "learning_rate": 1.9860809353506676e-05, + "loss": 0.5707, + "step": 263 + }, + { + "epoch": 0.25, + "learning_rate": 1.9859131266808513e-05, + "loss": 0.5499, + "step": 264 + }, + { + "epoch": 0.25, + "learning_rate": 1.985744319684625e-05, + "loss": 0.5815, + "step": 265 + }, + { + "epoch": 0.25, + "learning_rate": 1.985574514532921e-05, + "loss": 0.5751, + "step": 266 + }, + { + "epoch": 0.25, + "learning_rate": 1.9854037113976826e-05, + "loss": 0.5743, + "step": 267 + }, + { + "epoch": 0.25, + "learning_rate": 1.985231910451863e-05, + "loss": 0.6272, + "step": 268 + }, + { + "epoch": 0.25, + "learning_rate": 1.9850591118694264e-05, + "loss": 0.6086, + "step": 269 + }, + { + "epoch": 0.25, + "learning_rate": 1.9848853158253473e-05, + "loss": 0.603, + "step": 270 + }, + { + "epoch": 0.25, + "learning_rate": 1.9847105224956096e-05, + "loss": 0.5494, + "step": 271 + }, + { + "epoch": 0.25, + "learning_rate": 1.984534732057208e-05, + "loss": 0.594, + "step": 272 + }, + { + "epoch": 0.25, + "learning_rate": 1.9843579446881457e-05, + "loss": 0.5906, + "step": 273 + }, + { + "epoch": 0.26, + "learning_rate": 1.9841801605674358e-05, + "loss": 0.5581, + "step": 274 + }, + { + "epoch": 0.26, + "learning_rate": 1.9840013798751014e-05, + "loss": 0.5852, + "step": 275 + }, + { + "epoch": 0.26, + "learning_rate": 1.9838216027921736e-05, + "loss": 0.5876, + "step": 276 + }, + { + "epoch": 0.26, + "learning_rate": 1.9836408295006936e-05, + "loss": 0.6301, + "step": 277 + }, + { + "epoch": 0.26, + "learning_rate": 1.98345906018371e-05, + "loss": 0.5565, + "step": 278 + }, + { + "epoch": 0.26, + "learning_rate": 1.9832762950252813e-05, + "loss": 0.5677, + "step": 279 + }, + { + "epoch": 0.26, + "learning_rate": 1.9830925342104737e-05, + "loss": 0.5525, + "step": 280 + }, + { + "epoch": 0.26, + "learning_rate": 1.9829077779253615e-05, + "loss": 0.576, + "step": 281 + }, + { + "epoch": 0.26, + "learning_rate": 1.9827220263570273e-05, + "loss": 0.5851, + "step": 282 + }, + { + "epoch": 0.26, + "learning_rate": 1.9825352796935614e-05, + "loss": 0.6072, + "step": 283 + }, + { + "epoch": 0.26, + "learning_rate": 1.9823475381240615e-05, + "loss": 0.5806, + "step": 284 + }, + { + "epoch": 0.27, + "learning_rate": 1.982158801838633e-05, + "loss": 0.5714, + "step": 285 + }, + { + "epoch": 0.27, + "learning_rate": 1.981969071028389e-05, + "loss": 0.5549, + "step": 286 + }, + { + "epoch": 0.27, + "learning_rate": 1.981778345885449e-05, + "loss": 0.5671, + "step": 287 + }, + { + "epoch": 0.27, + "learning_rate": 1.981586626602939e-05, + "loss": 0.5918, + "step": 288 + }, + { + "epoch": 0.27, + "learning_rate": 1.9813939133749925e-05, + "loss": 0.5791, + "step": 289 + }, + { + "epoch": 0.27, + "learning_rate": 1.981200206396749e-05, + "loss": 0.5928, + "step": 290 + }, + { + "epoch": 0.27, + "learning_rate": 1.9810055058643542e-05, + "loss": 0.5844, + "step": 291 + }, + { + "epoch": 0.27, + "learning_rate": 1.9808098119749607e-05, + "loss": 0.5704, + "step": 292 + }, + { + "epoch": 0.27, + "learning_rate": 1.9806131249267256e-05, + "loss": 0.588, + "step": 293 + }, + { + "epoch": 0.27, + "learning_rate": 1.9804154449188128e-05, + "loss": 0.561, + "step": 294 + }, + { + "epoch": 0.27, + "learning_rate": 1.9802167721513908e-05, + "loss": 0.6191, + "step": 295 + }, + { + "epoch": 0.28, + "learning_rate": 1.9800171068256342e-05, + "loss": 0.5714, + "step": 296 + }, + { + "epoch": 0.28, + "learning_rate": 1.979816449143722e-05, + "loss": 0.5944, + "step": 297 + }, + { + "epoch": 0.28, + "learning_rate": 1.9796147993088387e-05, + "loss": 0.5638, + "step": 298 + }, + { + "epoch": 0.28, + "learning_rate": 1.979412157525172e-05, + "loss": 0.6134, + "step": 299 + }, + { + "epoch": 0.28, + "learning_rate": 1.9792085239979164e-05, + "loss": 0.582, + "step": 300 + }, + { + "epoch": 0.28, + "learning_rate": 1.9790038989332686e-05, + "loss": 0.6173, + "step": 301 + }, + { + "epoch": 0.28, + "learning_rate": 1.97879828253843e-05, + "loss": 0.5697, + "step": 302 + }, + { + "epoch": 0.28, + "learning_rate": 1.9785916750216062e-05, + "loss": 0.5485, + "step": 303 + }, + { + "epoch": 0.28, + "learning_rate": 1.9783840765920054e-05, + "loss": 0.5692, + "step": 304 + }, + { + "epoch": 0.28, + "learning_rate": 1.9781754874598403e-05, + "loss": 0.5817, + "step": 305 + }, + { + "epoch": 0.29, + "learning_rate": 1.9779659078363264e-05, + "loss": 0.5726, + "step": 306 + }, + { + "epoch": 0.29, + "learning_rate": 1.977755337933682e-05, + "loss": 0.5562, + "step": 307 + }, + { + "epoch": 0.29, + "learning_rate": 1.9775437779651278e-05, + "loss": 0.5546, + "step": 308 + }, + { + "epoch": 0.29, + "learning_rate": 1.977331228144888e-05, + "loss": 0.6105, + "step": 309 + }, + { + "epoch": 0.29, + "learning_rate": 1.9771176886881886e-05, + "loss": 0.5371, + "step": 310 + }, + { + "epoch": 0.29, + "learning_rate": 1.9769031598112568e-05, + "loss": 0.5825, + "step": 311 + }, + { + "epoch": 0.29, + "learning_rate": 1.9766876417313234e-05, + "loss": 0.5782, + "step": 312 + }, + { + "epoch": 0.29, + "learning_rate": 1.9764711346666195e-05, + "loss": 0.574, + "step": 313 + }, + { + "epoch": 0.29, + "learning_rate": 1.9762536388363784e-05, + "loss": 0.603, + "step": 314 + }, + { + "epoch": 0.29, + "learning_rate": 1.9760351544608345e-05, + "loss": 0.5604, + "step": 315 + }, + { + "epoch": 0.29, + "learning_rate": 1.9758156817612226e-05, + "loss": 0.5764, + "step": 316 + }, + { + "epoch": 0.3, + "learning_rate": 1.975595220959779e-05, + "loss": 0.5675, + "step": 317 + }, + { + "epoch": 0.3, + "learning_rate": 1.9753737722797397e-05, + "loss": 0.6019, + "step": 318 + }, + { + "epoch": 0.3, + "learning_rate": 1.9751513359453428e-05, + "loss": 0.5651, + "step": 319 + }, + { + "epoch": 0.3, + "learning_rate": 1.9749279121818235e-05, + "loss": 0.5587, + "step": 320 + }, + { + "epoch": 0.3, + "learning_rate": 1.9747035012154203e-05, + "loss": 0.5378, + "step": 321 + }, + { + "epoch": 0.3, + "learning_rate": 1.974478103273369e-05, + "loss": 0.5657, + "step": 322 + }, + { + "epoch": 0.3, + "learning_rate": 1.9742517185839048e-05, + "loss": 0.5746, + "step": 323 + }, + { + "epoch": 0.3, + "learning_rate": 1.974024347376264e-05, + "loss": 0.5736, + "step": 324 + }, + { + "epoch": 0.3, + "learning_rate": 1.9737959898806794e-05, + "loss": 0.583, + "step": 325 + }, + { + "epoch": 0.3, + "learning_rate": 1.973566646328384e-05, + "loss": 0.5894, + "step": 326 + }, + { + "epoch": 0.3, + "learning_rate": 1.9733363169516092e-05, + "loss": 0.5549, + "step": 327 + }, + { + "epoch": 0.31, + "learning_rate": 1.9731050019835843e-05, + "loss": 0.584, + "step": 328 + }, + { + "epoch": 0.31, + "learning_rate": 1.9728727016585366e-05, + "loss": 0.5691, + "step": 329 + }, + { + "epoch": 0.31, + "learning_rate": 1.972639416211691e-05, + "loss": 0.5864, + "step": 330 + }, + { + "epoch": 0.31, + "learning_rate": 1.9724051458792705e-05, + "loss": 0.5796, + "step": 331 + }, + { + "epoch": 0.31, + "learning_rate": 1.9721698908984953e-05, + "loss": 0.5763, + "step": 332 + }, + { + "epoch": 0.31, + "learning_rate": 1.9719336515075817e-05, + "loss": 0.6029, + "step": 333 + }, + { + "epoch": 0.31, + "learning_rate": 1.9716964279457436e-05, + "loss": 0.5631, + "step": 334 + }, + { + "epoch": 0.31, + "learning_rate": 1.971458220453192e-05, + "loss": 0.5684, + "step": 335 + }, + { + "epoch": 0.31, + "learning_rate": 1.9712190292711327e-05, + "loss": 0.5442, + "step": 336 + }, + { + "epoch": 0.31, + "learning_rate": 1.9709788546417698e-05, + "loss": 0.5474, + "step": 337 + }, + { + "epoch": 0.31, + "learning_rate": 1.9707376968083e-05, + "loss": 0.5493, + "step": 338 + }, + { + "epoch": 0.32, + "learning_rate": 1.9704955560149192e-05, + "loss": 0.6012, + "step": 339 + }, + { + "epoch": 0.32, + "learning_rate": 1.9702524325068157e-05, + "loss": 0.5927, + "step": 340 + }, + { + "epoch": 0.32, + "learning_rate": 1.970008326530175e-05, + "loss": 0.5483, + "step": 341 + }, + { + "epoch": 0.32, + "learning_rate": 1.9697632383321755e-05, + "loss": 0.5359, + "step": 342 + }, + { + "epoch": 0.32, + "learning_rate": 1.969517168160992e-05, + "loss": 0.5596, + "step": 343 + }, + { + "epoch": 0.32, + "learning_rate": 1.969270116265793e-05, + "loss": 0.5521, + "step": 344 + }, + { + "epoch": 0.32, + "learning_rate": 1.9690220828967406e-05, + "loss": 0.5686, + "step": 345 + }, + { + "epoch": 0.32, + "learning_rate": 1.968773068304991e-05, + "loss": 0.5583, + "step": 346 + }, + { + "epoch": 0.32, + "learning_rate": 1.968523072742694e-05, + "loss": 0.5854, + "step": 347 + }, + { + "epoch": 0.32, + "learning_rate": 1.9682720964629928e-05, + "loss": 0.5686, + "step": 348 + }, + { + "epoch": 0.33, + "learning_rate": 1.968020139720024e-05, + "loss": 0.6111, + "step": 349 + }, + { + "epoch": 0.33, + "learning_rate": 1.9677672027689158e-05, + "loss": 0.5311, + "step": 350 + }, + { + "epoch": 0.33, + "learning_rate": 1.9675132858657907e-05, + "loss": 0.5458, + "step": 351 + }, + { + "epoch": 0.33, + "learning_rate": 1.9672583892677624e-05, + "loss": 0.5676, + "step": 352 + }, + { + "epoch": 0.33, + "learning_rate": 1.9670025132329364e-05, + "loss": 0.588, + "step": 353 + }, + { + "epoch": 0.33, + "learning_rate": 1.966745658020411e-05, + "loss": 0.5552, + "step": 354 + }, + { + "epoch": 0.33, + "learning_rate": 1.9664878238902744e-05, + "loss": 0.5602, + "step": 355 + }, + { + "epoch": 0.33, + "learning_rate": 1.966229011103608e-05, + "loss": 0.5774, + "step": 356 + }, + { + "epoch": 0.33, + "learning_rate": 1.9659692199224828e-05, + "loss": 0.5758, + "step": 357 + }, + { + "epoch": 0.33, + "learning_rate": 1.965708450609961e-05, + "loss": 0.5552, + "step": 358 + }, + { + "epoch": 0.33, + "learning_rate": 1.965446703430095e-05, + "loss": 0.5659, + "step": 359 + }, + { + "epoch": 0.34, + "learning_rate": 1.9651839786479277e-05, + "loss": 0.5409, + "step": 360 + }, + { + "epoch": 0.34, + "learning_rate": 1.964920276529492e-05, + "loss": 0.5747, + "step": 361 + }, + { + "epoch": 0.34, + "learning_rate": 1.9646555973418096e-05, + "loss": 0.5681, + "step": 362 + }, + { + "epoch": 0.34, + "learning_rate": 1.9643899413528926e-05, + "loss": 0.5875, + "step": 363 + }, + { + "epoch": 0.34, + "learning_rate": 1.9641233088317416e-05, + "loss": 0.5562, + "step": 364 + }, + { + "epoch": 0.34, + "learning_rate": 1.9638557000483464e-05, + "loss": 0.5679, + "step": 365 + }, + { + "epoch": 0.34, + "learning_rate": 1.963587115273685e-05, + "loss": 0.5895, + "step": 366 + }, + { + "epoch": 0.34, + "learning_rate": 1.963317554779724e-05, + "loss": 0.5726, + "step": 367 + }, + { + "epoch": 0.34, + "learning_rate": 1.9630470188394174e-05, + "loss": 0.554, + "step": 368 + }, + { + "epoch": 0.34, + "learning_rate": 1.9627755077267076e-05, + "loss": 0.5713, + "step": 369 + }, + { + "epoch": 0.34, + "learning_rate": 1.9625030217165246e-05, + "loss": 0.541, + "step": 370 + }, + { + "epoch": 0.35, + "learning_rate": 1.962229561084785e-05, + "loss": 0.5613, + "step": 371 + }, + { + "epoch": 0.35, + "learning_rate": 1.9619551261083917e-05, + "loss": 0.5669, + "step": 372 + }, + { + "epoch": 0.35, + "learning_rate": 1.9616797170652358e-05, + "loss": 0.5938, + "step": 373 + }, + { + "epoch": 0.35, + "learning_rate": 1.9614033342341938e-05, + "loss": 0.5823, + "step": 374 + }, + { + "epoch": 0.35, + "learning_rate": 1.9611259778951283e-05, + "loss": 0.6033, + "step": 375 + }, + { + "epoch": 0.35, + "learning_rate": 1.960847648328888e-05, + "loss": 0.5376, + "step": 376 + }, + { + "epoch": 0.35, + "learning_rate": 1.960568345817306e-05, + "loss": 0.5676, + "step": 377 + }, + { + "epoch": 0.35, + "learning_rate": 1.9602880706432024e-05, + "loss": 0.5488, + "step": 378 + }, + { + "epoch": 0.35, + "learning_rate": 1.960006823090381e-05, + "loss": 0.5935, + "step": 379 + }, + { + "epoch": 0.35, + "learning_rate": 1.9597246034436296e-05, + "loss": 0.5883, + "step": 380 + }, + { + "epoch": 0.35, + "learning_rate": 1.959441411988722e-05, + "loss": 0.5627, + "step": 381 + }, + { + "epoch": 0.36, + "learning_rate": 1.959157249012415e-05, + "loss": 0.5787, + "step": 382 + }, + { + "epoch": 0.36, + "learning_rate": 1.9588721148024498e-05, + "loss": 0.5575, + "step": 383 + }, + { + "epoch": 0.36, + "learning_rate": 1.95858600964755e-05, + "loss": 0.5739, + "step": 384 + }, + { + "epoch": 0.36, + "learning_rate": 1.958298933837423e-05, + "loss": 0.5576, + "step": 385 + }, + { + "epoch": 0.36, + "learning_rate": 1.958010887662759e-05, + "loss": 0.5829, + "step": 386 + }, + { + "epoch": 0.36, + "learning_rate": 1.9577218714152318e-05, + "loss": 0.59, + "step": 387 + }, + { + "epoch": 0.36, + "learning_rate": 1.957431885387496e-05, + "loss": 0.5391, + "step": 388 + }, + { + "epoch": 0.36, + "learning_rate": 1.9571409298731883e-05, + "loss": 0.5693, + "step": 389 + }, + { + "epoch": 0.36, + "learning_rate": 1.956849005166928e-05, + "loss": 0.5675, + "step": 390 + }, + { + "epoch": 0.36, + "learning_rate": 1.9565561115643153e-05, + "loss": 0.5889, + "step": 391 + }, + { + "epoch": 0.37, + "learning_rate": 1.956262249361931e-05, + "loss": 0.5654, + "step": 392 + }, + { + "epoch": 0.37, + "learning_rate": 1.955967418857338e-05, + "loss": 0.5728, + "step": 393 + }, + { + "epoch": 0.37, + "learning_rate": 1.9556716203490788e-05, + "loss": 0.5596, + "step": 394 + }, + { + "epoch": 0.37, + "learning_rate": 1.9553748541366756e-05, + "loss": 0.5333, + "step": 395 + }, + { + "epoch": 0.37, + "learning_rate": 1.9550771205206315e-05, + "loss": 0.5686, + "step": 396 + }, + { + "epoch": 0.37, + "learning_rate": 1.954778419802429e-05, + "loss": 0.5496, + "step": 397 + }, + { + "epoch": 0.37, + "learning_rate": 1.954478752284529e-05, + "loss": 0.5793, + "step": 398 + }, + { + "epoch": 0.37, + "learning_rate": 1.954178118270373e-05, + "loss": 0.5487, + "step": 399 + }, + { + "epoch": 0.37, + "learning_rate": 1.953876518064379e-05, + "loss": 0.5403, + "step": 400 + }, + { + "epoch": 0.37, + "learning_rate": 1.9535739519719454e-05, + "loss": 0.5729, + "step": 401 + }, + { + "epoch": 0.37, + "learning_rate": 1.9532704202994476e-05, + "loss": 0.574, + "step": 402 + }, + { + "epoch": 0.38, + "learning_rate": 1.9529659233542388e-05, + "loss": 0.5565, + "step": 403 + }, + { + "epoch": 0.38, + "learning_rate": 1.9526604614446497e-05, + "loss": 0.5349, + "step": 404 + }, + { + "epoch": 0.38, + "learning_rate": 1.9523540348799887e-05, + "loss": 0.5537, + "step": 405 + }, + { + "epoch": 0.38, + "learning_rate": 1.9520466439705395e-05, + "loss": 0.59, + "step": 406 + }, + { + "epoch": 0.38, + "learning_rate": 1.9517382890275644e-05, + "loss": 0.5651, + "step": 407 + }, + { + "epoch": 0.38, + "learning_rate": 1.9514289703633e-05, + "loss": 0.5494, + "step": 408 + }, + { + "epoch": 0.38, + "learning_rate": 1.9511186882909596e-05, + "loss": 0.5658, + "step": 409 + }, + { + "epoch": 0.38, + "learning_rate": 1.950807443124732e-05, + "loss": 0.5665, + "step": 410 + }, + { + "epoch": 0.38, + "learning_rate": 1.950495235179781e-05, + "loss": 0.6187, + "step": 411 + }, + { + "epoch": 0.38, + "learning_rate": 1.9501820647722458e-05, + "loss": 0.5387, + "step": 412 + }, + { + "epoch": 0.38, + "learning_rate": 1.9498679322192396e-05, + "loss": 0.5568, + "step": 413 + }, + { + "epoch": 0.39, + "learning_rate": 1.9495528378388496e-05, + "loss": 0.5536, + "step": 414 + }, + { + "epoch": 0.39, + "learning_rate": 1.9492367819501384e-05, + "loss": 0.5508, + "step": 415 + }, + { + "epoch": 0.39, + "learning_rate": 1.9489197648731406e-05, + "loss": 0.5463, + "step": 416 + }, + { + "epoch": 0.39, + "learning_rate": 1.948601786928865e-05, + "loss": 0.5679, + "step": 417 + }, + { + "epoch": 0.39, + "learning_rate": 1.9482828484392927e-05, + "loss": 0.5536, + "step": 418 + }, + { + "epoch": 0.39, + "learning_rate": 1.9479629497273783e-05, + "loss": 0.5443, + "step": 419 + }, + { + "epoch": 0.39, + "learning_rate": 1.947642091117048e-05, + "loss": 0.5656, + "step": 420 + }, + { + "epoch": 0.39, + "learning_rate": 1.9473202729332e-05, + "loss": 0.5604, + "step": 421 + }, + { + "epoch": 0.39, + "learning_rate": 1.946997495501705e-05, + "loss": 0.5275, + "step": 422 + }, + { + "epoch": 0.39, + "learning_rate": 1.946673759149404e-05, + "loss": 0.5686, + "step": 423 + }, + { + "epoch": 0.39, + "learning_rate": 1.9463490642041094e-05, + "loss": 0.584, + "step": 424 + }, + { + "epoch": 0.4, + "learning_rate": 1.9460234109946046e-05, + "loss": 0.5471, + "step": 425 + }, + { + "epoch": 0.4, + "learning_rate": 1.9456967998506423e-05, + "loss": 0.5568, + "step": 426 + }, + { + "epoch": 0.4, + "learning_rate": 1.9453692311029463e-05, + "loss": 0.5647, + "step": 427 + }, + { + "epoch": 0.4, + "learning_rate": 1.94504070508321e-05, + "loss": 0.5564, + "step": 428 + }, + { + "epoch": 0.4, + "learning_rate": 1.9447112221240952e-05, + "loss": 0.5677, + "step": 429 + }, + { + "epoch": 0.4, + "learning_rate": 1.9443807825592332e-05, + "loss": 0.5834, + "step": 430 + }, + { + "epoch": 0.4, + "learning_rate": 1.944049386723225e-05, + "loss": 0.5289, + "step": 431 + }, + { + "epoch": 0.4, + "learning_rate": 1.9437170349516377e-05, + "loss": 0.5787, + "step": 432 + }, + { + "epoch": 0.4, + "learning_rate": 1.9433837275810084e-05, + "loss": 0.5586, + "step": 433 + }, + { + "epoch": 0.4, + "learning_rate": 1.9430494649488404e-05, + "loss": 0.595, + "step": 434 + }, + { + "epoch": 0.41, + "learning_rate": 1.9427142473936053e-05, + "loss": 0.5542, + "step": 435 + }, + { + "epoch": 0.41, + "learning_rate": 1.9423780752547415e-05, + "loss": 0.5704, + "step": 436 + }, + { + "epoch": 0.41, + "learning_rate": 1.9420409488726534e-05, + "loss": 0.5516, + "step": 437 + }, + { + "epoch": 0.41, + "learning_rate": 1.9417028685887122e-05, + "loss": 0.5562, + "step": 438 + }, + { + "epoch": 0.41, + "learning_rate": 1.9413638347452546e-05, + "loss": 0.5629, + "step": 439 + }, + { + "epoch": 0.41, + "learning_rate": 1.9410238476855832e-05, + "loss": 0.5922, + "step": 440 + }, + { + "epoch": 0.41, + "learning_rate": 1.940682907753966e-05, + "loss": 0.5298, + "step": 441 + }, + { + "epoch": 0.41, + "learning_rate": 1.940341015295635e-05, + "loss": 0.574, + "step": 442 + }, + { + "epoch": 0.41, + "learning_rate": 1.939998170656788e-05, + "loss": 0.6244, + "step": 443 + }, + { + "epoch": 0.41, + "learning_rate": 1.9396543741845855e-05, + "loss": 0.5568, + "step": 444 + }, + { + "epoch": 0.41, + "learning_rate": 1.9393096262271533e-05, + "loss": 0.5579, + "step": 445 + }, + { + "epoch": 0.42, + "learning_rate": 1.9389639271335795e-05, + "loss": 0.5717, + "step": 446 + }, + { + "epoch": 0.42, + "learning_rate": 1.9386172772539162e-05, + "loss": 0.5712, + "step": 447 + }, + { + "epoch": 0.42, + "learning_rate": 1.9382696769391775e-05, + "loss": 0.5575, + "step": 448 + }, + { + "epoch": 0.42, + "learning_rate": 1.9379211265413402e-05, + "loss": 0.5648, + "step": 449 + }, + { + "epoch": 0.42, + "learning_rate": 1.9375716264133433e-05, + "loss": 0.5718, + "step": 450 + }, + { + "epoch": 0.42, + "learning_rate": 1.937221176909087e-05, + "loss": 0.5844, + "step": 451 + }, + { + "epoch": 0.42, + "learning_rate": 1.936869778383434e-05, + "loss": 0.5879, + "step": 452 + }, + { + "epoch": 0.42, + "learning_rate": 1.936517431192207e-05, + "loss": 0.5507, + "step": 453 + }, + { + "epoch": 0.42, + "learning_rate": 1.9361641356921883e-05, + "loss": 0.5546, + "step": 454 + }, + { + "epoch": 0.42, + "learning_rate": 1.9358098922411227e-05, + "loss": 0.5393, + "step": 455 + }, + { + "epoch": 0.42, + "learning_rate": 1.935454701197714e-05, + "loss": 0.5789, + "step": 456 + }, + { + "epoch": 0.43, + "learning_rate": 1.9350985629216243e-05, + "loss": 0.5601, + "step": 457 + }, + { + "epoch": 0.43, + "learning_rate": 1.9347414777734768e-05, + "loss": 0.5651, + "step": 458 + }, + { + "epoch": 0.43, + "learning_rate": 1.9343834461148524e-05, + "loss": 0.577, + "step": 459 + }, + { + "epoch": 0.43, + "learning_rate": 1.9340244683082902e-05, + "loss": 0.5596, + "step": 460 + }, + { + "epoch": 0.43, + "learning_rate": 1.933664544717288e-05, + "loss": 0.5409, + "step": 461 + }, + { + "epoch": 0.43, + "learning_rate": 1.9333036757063013e-05, + "loss": 0.5302, + "step": 462 + }, + { + "epoch": 0.43, + "learning_rate": 1.9329418616407425e-05, + "loss": 0.5568, + "step": 463 + }, + { + "epoch": 0.43, + "learning_rate": 1.9325791028869813e-05, + "loss": 0.5336, + "step": 464 + }, + { + "epoch": 0.43, + "learning_rate": 1.9322153998123433e-05, + "loss": 0.5397, + "step": 465 + }, + { + "epoch": 0.43, + "learning_rate": 1.9318507527851113e-05, + "loss": 0.578, + "step": 466 + }, + { + "epoch": 0.44, + "learning_rate": 1.9314851621745232e-05, + "loss": 0.6005, + "step": 467 + }, + { + "epoch": 0.44, + "learning_rate": 1.931118628350773e-05, + "loss": 0.5634, + "step": 468 + }, + { + "epoch": 0.44, + "learning_rate": 1.930751151685009e-05, + "loss": 0.5726, + "step": 469 + }, + { + "epoch": 0.44, + "learning_rate": 1.930382732549335e-05, + "loss": 0.5472, + "step": 470 + }, + { + "epoch": 0.44, + "learning_rate": 1.930013371316809e-05, + "loss": 0.5704, + "step": 471 + }, + { + "epoch": 0.44, + "learning_rate": 1.9296430683614416e-05, + "loss": 0.5845, + "step": 472 + }, + { + "epoch": 0.44, + "learning_rate": 1.929271824058199e-05, + "loss": 0.5674, + "step": 473 + }, + { + "epoch": 0.44, + "learning_rate": 1.928899638783e-05, + "loss": 0.5558, + "step": 474 + }, + { + "epoch": 0.44, + "learning_rate": 1.928526512912715e-05, + "loss": 0.5897, + "step": 475 + }, + { + "epoch": 0.44, + "learning_rate": 1.9281524468251686e-05, + "loss": 0.5986, + "step": 476 + }, + { + "epoch": 0.44, + "learning_rate": 1.9277774408991362e-05, + "loss": 0.5262, + "step": 477 + }, + { + "epoch": 0.45, + "learning_rate": 1.9274014955143452e-05, + "loss": 0.5439, + "step": 478 + }, + { + "epoch": 0.45, + "learning_rate": 1.9270246110514747e-05, + "loss": 0.5427, + "step": 479 + }, + { + "epoch": 0.45, + "learning_rate": 1.926646787892154e-05, + "loss": 0.5444, + "step": 480 + }, + { + "epoch": 0.45, + "learning_rate": 1.9262680264189637e-05, + "loss": 0.5422, + "step": 481 + }, + { + "epoch": 0.45, + "learning_rate": 1.925888327015434e-05, + "loss": 0.5273, + "step": 482 + }, + { + "epoch": 0.45, + "learning_rate": 1.925507690066045e-05, + "loss": 0.5736, + "step": 483 + }, + { + "epoch": 0.45, + "learning_rate": 1.9251261159562257e-05, + "loss": 0.5673, + "step": 484 + }, + { + "epoch": 0.45, + "learning_rate": 1.9247436050723548e-05, + "loss": 0.5562, + "step": 485 + }, + { + "epoch": 0.45, + "learning_rate": 1.9243601578017593e-05, + "loss": 0.5653, + "step": 486 + }, + { + "epoch": 0.45, + "learning_rate": 1.9239757745327144e-05, + "loss": 0.5715, + "step": 487 + }, + { + "epoch": 0.45, + "learning_rate": 1.9235904556544432e-05, + "loss": 0.5717, + "step": 488 + }, + { + "epoch": 0.46, + "learning_rate": 1.9232042015571152e-05, + "loss": 0.5847, + "step": 489 + }, + { + "epoch": 0.46, + "learning_rate": 1.9228170126318485e-05, + "loss": 0.5416, + "step": 490 + }, + { + "epoch": 0.46, + "learning_rate": 1.9224288892707063e-05, + "loss": 0.5625, + "step": 491 + }, + { + "epoch": 0.46, + "learning_rate": 1.922039831866699e-05, + "loss": 0.5665, + "step": 492 + }, + { + "epoch": 0.46, + "learning_rate": 1.9216498408137827e-05, + "loss": 0.5488, + "step": 493 + }, + { + "epoch": 0.46, + "learning_rate": 1.921258916506858e-05, + "loss": 0.5541, + "step": 494 + }, + { + "epoch": 0.46, + "learning_rate": 1.9208670593417723e-05, + "loss": 0.5425, + "step": 495 + }, + { + "epoch": 0.46, + "learning_rate": 1.9204742697153155e-05, + "loss": 0.5524, + "step": 496 + }, + { + "epoch": 0.46, + "learning_rate": 1.9200805480252236e-05, + "loss": 0.5366, + "step": 497 + }, + { + "epoch": 0.46, + "learning_rate": 1.9196858946701743e-05, + "loss": 0.5719, + "step": 498 + }, + { + "epoch": 0.46, + "learning_rate": 1.919290310049791e-05, + "loss": 0.5352, + "step": 499 + }, + { + "epoch": 0.47, + "learning_rate": 1.918893794564639e-05, + "loss": 0.5626, + "step": 500 + }, + { + "epoch": 0.47, + "learning_rate": 1.918496348616225e-05, + "loss": 0.5779, + "step": 501 + }, + { + "epoch": 0.47, + "learning_rate": 1.918097972607e-05, + "loss": 0.5469, + "step": 502 + }, + { + "epoch": 0.47, + "learning_rate": 1.9176986669403556e-05, + "loss": 0.5312, + "step": 503 + }, + { + "epoch": 0.47, + "learning_rate": 1.9172984320206254e-05, + "loss": 0.584, + "step": 504 + }, + { + "epoch": 0.47, + "learning_rate": 1.9168972682530827e-05, + "loss": 0.5649, + "step": 505 + }, + { + "epoch": 0.47, + "learning_rate": 1.9164951760439427e-05, + "loss": 0.5428, + "step": 506 + }, + { + "epoch": 0.47, + "learning_rate": 1.9160921558003604e-05, + "loss": 0.5974, + "step": 507 + }, + { + "epoch": 0.47, + "learning_rate": 1.9156882079304297e-05, + "loss": 0.5662, + "step": 508 + }, + { + "epoch": 0.47, + "learning_rate": 1.915283332843185e-05, + "loss": 0.564, + "step": 509 + }, + { + "epoch": 0.48, + "learning_rate": 1.9148775309485985e-05, + "loss": 0.5413, + "step": 510 + }, + { + "epoch": 0.48, + "learning_rate": 1.914470802657582e-05, + "loss": 0.5774, + "step": 511 + }, + { + "epoch": 0.48, + "learning_rate": 1.9140631483819845e-05, + "loss": 0.5466, + "step": 512 + }, + { + "epoch": 0.48, + "learning_rate": 1.9136545685345927e-05, + "loss": 0.5447, + "step": 513 + }, + { + "epoch": 0.48, + "learning_rate": 1.9132450635291312e-05, + "loss": 0.5272, + "step": 514 + }, + { + "epoch": 0.48, + "learning_rate": 1.9128346337802605e-05, + "loss": 0.5476, + "step": 515 + }, + { + "epoch": 0.48, + "learning_rate": 1.9124232797035777e-05, + "loss": 0.5577, + "step": 516 + }, + { + "epoch": 0.48, + "learning_rate": 1.9120110017156172e-05, + "loss": 0.5974, + "step": 517 + }, + { + "epoch": 0.48, + "learning_rate": 1.9115978002338466e-05, + "loss": 0.5289, + "step": 518 + }, + { + "epoch": 0.48, + "learning_rate": 1.9111836756766707e-05, + "loss": 0.5547, + "step": 519 + }, + { + "epoch": 0.48, + "learning_rate": 1.9107686284634273e-05, + "loss": 0.5703, + "step": 520 + }, + { + "epoch": 0.49, + "learning_rate": 1.9103526590143903e-05, + "loss": 0.5387, + "step": 521 + }, + { + "epoch": 0.49, + "learning_rate": 1.9099357677507656e-05, + "loss": 0.5487, + "step": 522 + }, + { + "epoch": 0.49, + "learning_rate": 1.909517955094694e-05, + "loss": 0.5542, + "step": 523 + }, + { + "epoch": 0.49, + "learning_rate": 1.909099221469249e-05, + "loss": 0.5626, + "step": 524 + }, + { + "epoch": 0.49, + "learning_rate": 1.9086795672984354e-05, + "loss": 0.5752, + "step": 525 + }, + { + "epoch": 0.49, + "learning_rate": 1.9082589930071916e-05, + "loss": 0.5533, + "step": 526 + }, + { + "epoch": 0.49, + "learning_rate": 1.907837499021387e-05, + "loss": 0.5801, + "step": 527 + }, + { + "epoch": 0.49, + "learning_rate": 1.9074150857678228e-05, + "loss": 0.5685, + "step": 528 + }, + { + "epoch": 0.49, + "learning_rate": 1.9069917536742303e-05, + "loss": 0.5417, + "step": 529 + }, + { + "epoch": 0.49, + "learning_rate": 1.906567503169272e-05, + "loss": 0.5354, + "step": 530 + }, + { + "epoch": 0.49, + "learning_rate": 1.9061423346825395e-05, + "loss": 0.5717, + "step": 531 + }, + { + "epoch": 0.5, + "learning_rate": 1.905716248644555e-05, + "loss": 0.5626, + "step": 532 + }, + { + "epoch": 0.5, + "learning_rate": 1.905289245486769e-05, + "loss": 0.5472, + "step": 533 + }, + { + "epoch": 0.5, + "learning_rate": 1.9048613256415608e-05, + "loss": 0.5487, + "step": 534 + }, + { + "epoch": 0.5, + "learning_rate": 1.9044324895422383e-05, + "loss": 0.5734, + "step": 535 + }, + { + "epoch": 0.5, + "learning_rate": 1.904002737623037e-05, + "loss": 0.5667, + "step": 536 + }, + { + "epoch": 0.5, + "learning_rate": 1.9035720703191187e-05, + "loss": 0.5674, + "step": 537 + }, + { + "epoch": 0.5, + "learning_rate": 1.9031404880665742e-05, + "loss": 0.5742, + "step": 538 + }, + { + "epoch": 0.5, + "learning_rate": 1.9027079913024192e-05, + "loss": 0.5786, + "step": 539 + }, + { + "epoch": 0.5, + "learning_rate": 1.9022745804645958e-05, + "loss": 0.5771, + "step": 540 + }, + { + "epoch": 0.5, + "learning_rate": 1.901840255991972e-05, + "loss": 0.5884, + "step": 541 + }, + { + "epoch": 0.5, + "learning_rate": 1.9014050183243406e-05, + "loss": 0.5886, + "step": 542 + }, + { + "epoch": 0.51, + "learning_rate": 1.900968867902419e-05, + "loss": 0.558, + "step": 543 + }, + { + "epoch": 0.51, + "learning_rate": 1.9005318051678495e-05, + "loss": 0.5503, + "step": 544 + }, + { + "epoch": 0.51, + "learning_rate": 1.9000938305631975e-05, + "loss": 0.5404, + "step": 545 + }, + { + "epoch": 0.51, + "learning_rate": 1.899654944531952e-05, + "loss": 0.5396, + "step": 546 + }, + { + "epoch": 0.51, + "learning_rate": 1.8992151475185246e-05, + "loss": 0.5189, + "step": 547 + }, + { + "epoch": 0.51, + "learning_rate": 1.89877443996825e-05, + "loss": 0.5646, + "step": 548 + }, + { + "epoch": 0.51, + "learning_rate": 1.898332822327384e-05, + "loss": 0.5385, + "step": 549 + }, + { + "epoch": 0.51, + "learning_rate": 1.8978902950431056e-05, + "loss": 0.5371, + "step": 550 + }, + { + "epoch": 0.51, + "learning_rate": 1.8974468585635126e-05, + "loss": 0.5835, + "step": 551 + }, + { + "epoch": 0.51, + "learning_rate": 1.8970025133376252e-05, + "loss": 0.5638, + "step": 552 + }, + { + "epoch": 0.52, + "learning_rate": 1.8965572598153834e-05, + "loss": 0.5569, + "step": 553 + }, + { + "epoch": 0.52, + "learning_rate": 1.896111098447646e-05, + "loss": 0.5674, + "step": 554 + }, + { + "epoch": 0.52, + "learning_rate": 1.895664029686193e-05, + "loss": 0.5736, + "step": 555 + }, + { + "epoch": 0.52, + "learning_rate": 1.8952160539837213e-05, + "loss": 0.5431, + "step": 556 + }, + { + "epoch": 0.52, + "learning_rate": 1.8947671717938464e-05, + "loss": 0.5725, + "step": 557 + }, + { + "epoch": 0.52, + "learning_rate": 1.8943173835711032e-05, + "loss": 0.5782, + "step": 558 + }, + { + "epoch": 0.52, + "learning_rate": 1.8938666897709427e-05, + "loss": 0.5667, + "step": 559 + }, + { + "epoch": 0.52, + "learning_rate": 1.893415090849733e-05, + "loss": 0.5659, + "step": 560 + }, + { + "epoch": 0.52, + "learning_rate": 1.892962587264759e-05, + "loss": 0.543, + "step": 561 + }, + { + "epoch": 0.52, + "learning_rate": 1.892509179474222e-05, + "loss": 0.5602, + "step": 562 + }, + { + "epoch": 0.52, + "learning_rate": 1.8920548679372378e-05, + "loss": 0.5618, + "step": 563 + }, + { + "epoch": 0.53, + "learning_rate": 1.8915996531138388e-05, + "loss": 0.5376, + "step": 564 + }, + { + "epoch": 0.53, + "learning_rate": 1.891143535464971e-05, + "loss": 0.5562, + "step": 565 + }, + { + "epoch": 0.53, + "learning_rate": 1.8906865154524943e-05, + "loss": 0.54, + "step": 566 + }, + { + "epoch": 0.53, + "learning_rate": 1.8902285935391832e-05, + "loss": 0.5425, + "step": 567 + }, + { + "epoch": 0.53, + "learning_rate": 1.8897697701887257e-05, + "loss": 0.5754, + "step": 568 + }, + { + "epoch": 0.53, + "learning_rate": 1.8893100458657215e-05, + "loss": 0.5667, + "step": 569 + }, + { + "epoch": 0.53, + "learning_rate": 1.8888494210356832e-05, + "loss": 0.5653, + "step": 570 + }, + { + "epoch": 0.53, + "learning_rate": 1.8883878961650353e-05, + "loss": 0.5339, + "step": 571 + }, + { + "epoch": 0.53, + "learning_rate": 1.8879254717211136e-05, + "loss": 0.5681, + "step": 572 + }, + { + "epoch": 0.53, + "learning_rate": 1.8874621481721645e-05, + "loss": 0.5513, + "step": 573 + }, + { + "epoch": 0.53, + "learning_rate": 1.8869979259873452e-05, + "loss": 0.5807, + "step": 574 + }, + { + "epoch": 0.54, + "learning_rate": 1.886532805636723e-05, + "loss": 0.5636, + "step": 575 + }, + { + "epoch": 0.54, + "learning_rate": 1.8860667875912743e-05, + "loss": 0.5618, + "step": 576 + }, + { + "epoch": 0.54, + "learning_rate": 1.8855998723228845e-05, + "loss": 0.5454, + "step": 577 + }, + { + "epoch": 0.54, + "learning_rate": 1.885132060304348e-05, + "loss": 0.5562, + "step": 578 + }, + { + "epoch": 0.54, + "learning_rate": 1.884663352009366e-05, + "loss": 0.5686, + "step": 579 + }, + { + "epoch": 0.54, + "learning_rate": 1.884193747912549e-05, + "loss": 0.5563, + "step": 580 + }, + { + "epoch": 0.54, + "learning_rate": 1.8837232484894132e-05, + "loss": 0.5544, + "step": 581 + }, + { + "epoch": 0.54, + "learning_rate": 1.8832518542163823e-05, + "loss": 0.5767, + "step": 582 + }, + { + "epoch": 0.54, + "learning_rate": 1.8827795655707858e-05, + "loss": 0.5563, + "step": 583 + }, + { + "epoch": 0.54, + "learning_rate": 1.882306383030858e-05, + "loss": 0.5325, + "step": 584 + }, + { + "epoch": 0.54, + "learning_rate": 1.8818323070757397e-05, + "loss": 0.5328, + "step": 585 + }, + { + "epoch": 0.55, + "learning_rate": 1.881357338185476e-05, + "loss": 0.568, + "step": 586 + }, + { + "epoch": 0.55, + "learning_rate": 1.8808814768410157e-05, + "loss": 0.5778, + "step": 587 + }, + { + "epoch": 0.55, + "learning_rate": 1.8804047235242114e-05, + "loss": 0.5448, + "step": 588 + }, + { + "epoch": 0.55, + "learning_rate": 1.879927078717819e-05, + "loss": 0.5114, + "step": 589 + }, + { + "epoch": 0.55, + "learning_rate": 1.8794485429054975e-05, + "loss": 0.5676, + "step": 590 + }, + { + "epoch": 0.55, + "learning_rate": 1.8789691165718075e-05, + "loss": 0.5621, + "step": 591 + }, + { + "epoch": 0.55, + "learning_rate": 1.878488800202212e-05, + "loss": 0.5632, + "step": 592 + }, + { + "epoch": 0.55, + "learning_rate": 1.8780075942830742e-05, + "loss": 0.605, + "step": 593 + }, + { + "epoch": 0.55, + "learning_rate": 1.8775254993016596e-05, + "loss": 0.5931, + "step": 594 + }, + { + "epoch": 0.55, + "learning_rate": 1.877042515746132e-05, + "loss": 0.5555, + "step": 595 + }, + { + "epoch": 0.56, + "learning_rate": 1.8765586441055572e-05, + "loss": 0.5367, + "step": 596 + }, + { + "epoch": 0.56, + "learning_rate": 1.8760738848698982e-05, + "loss": 0.5664, + "step": 597 + }, + { + "epoch": 0.56, + "learning_rate": 1.8755882385300182e-05, + "loss": 0.5433, + "step": 598 + }, + { + "epoch": 0.56, + "learning_rate": 1.8751017055776778e-05, + "loss": 0.5182, + "step": 599 + }, + { + "epoch": 0.56, + "learning_rate": 1.8746142865055354e-05, + "loss": 0.5471, + "step": 600 + }, + { + "epoch": 0.56, + "learning_rate": 1.874125981807148e-05, + "loss": 0.5641, + "step": 601 + }, + { + "epoch": 0.56, + "learning_rate": 1.8736367919769674e-05, + "loss": 0.5481, + "step": 602 + }, + { + "epoch": 0.56, + "learning_rate": 1.8731467175103433e-05, + "loss": 0.5299, + "step": 603 + }, + { + "epoch": 0.56, + "learning_rate": 1.8726557589035202e-05, + "loss": 0.5356, + "step": 604 + }, + { + "epoch": 0.56, + "learning_rate": 1.872163916653638e-05, + "loss": 0.5312, + "step": 605 + }, + { + "epoch": 0.56, + "learning_rate": 1.871671191258732e-05, + "loss": 0.5568, + "step": 606 + }, + { + "epoch": 0.57, + "learning_rate": 1.8711775832177315e-05, + "loss": 0.5297, + "step": 607 + }, + { + "epoch": 0.57, + "learning_rate": 1.8706830930304587e-05, + "loss": 0.5551, + "step": 608 + }, + { + "epoch": 0.57, + "learning_rate": 1.8701877211976302e-05, + "loss": 0.557, + "step": 609 + }, + { + "epoch": 0.57, + "learning_rate": 1.8696914682208547e-05, + "loss": 0.5581, + "step": 610 + }, + { + "epoch": 0.57, + "learning_rate": 1.8691943346026333e-05, + "loss": 0.538, + "step": 611 + }, + { + "epoch": 0.57, + "learning_rate": 1.8686963208463588e-05, + "loss": 0.5354, + "step": 612 + }, + { + "epoch": 0.57, + "learning_rate": 1.868197427456316e-05, + "loss": 0.564, + "step": 613 + }, + { + "epoch": 0.57, + "learning_rate": 1.8676976549376786e-05, + "loss": 0.5392, + "step": 614 + }, + { + "epoch": 0.57, + "learning_rate": 1.867197003796512e-05, + "loss": 0.5344, + "step": 615 + }, + { + "epoch": 0.57, + "learning_rate": 1.8666954745397708e-05, + "loss": 0.5664, + "step": 616 + }, + { + "epoch": 0.57, + "learning_rate": 1.8661930676752993e-05, + "loss": 0.59, + "step": 617 + }, + { + "epoch": 0.58, + "learning_rate": 1.8656897837118294e-05, + "loss": 0.563, + "step": 618 + }, + { + "epoch": 0.58, + "learning_rate": 1.8651856231589822e-05, + "loss": 0.5721, + "step": 619 + }, + { + "epoch": 0.58, + "learning_rate": 1.8646805865272656e-05, + "loss": 0.5734, + "step": 620 + }, + { + "epoch": 0.58, + "learning_rate": 1.8641746743280753e-05, + "loss": 0.5769, + "step": 621 + }, + { + "epoch": 0.58, + "learning_rate": 1.8636678870736928e-05, + "loss": 0.5371, + "step": 622 + }, + { + "epoch": 0.58, + "learning_rate": 1.8631602252772865e-05, + "loss": 0.5693, + "step": 623 + }, + { + "epoch": 0.58, + "learning_rate": 1.8626516894529102e-05, + "loss": 0.6096, + "step": 624 + }, + { + "epoch": 0.58, + "learning_rate": 1.8621422801155015e-05, + "loss": 0.5652, + "step": 625 + }, + { + "epoch": 0.58, + "learning_rate": 1.8616319977808846e-05, + "loss": 0.5291, + "step": 626 + }, + { + "epoch": 0.58, + "learning_rate": 1.8611208429657667e-05, + "loss": 0.5453, + "step": 627 + }, + { + "epoch": 0.59, + "learning_rate": 1.8606088161877376e-05, + "loss": 0.5526, + "step": 628 + }, + { + "epoch": 0.59, + "learning_rate": 1.8600959179652708e-05, + "loss": 0.5658, + "step": 629 + }, + { + "epoch": 0.59, + "learning_rate": 1.859582148817723e-05, + "loss": 0.5623, + "step": 630 + }, + { + "epoch": 0.59, + "learning_rate": 1.8590675092653315e-05, + "loss": 0.5861, + "step": 631 + }, + { + "epoch": 0.59, + "learning_rate": 1.858551999829216e-05, + "loss": 0.5653, + "step": 632 + }, + { + "epoch": 0.59, + "learning_rate": 1.8580356210313756e-05, + "loss": 0.5518, + "step": 633 + }, + { + "epoch": 0.59, + "learning_rate": 1.8575183733946915e-05, + "loss": 0.5466, + "step": 634 + }, + { + "epoch": 0.59, + "learning_rate": 1.857000257442924e-05, + "loss": 0.5546, + "step": 635 + }, + { + "epoch": 0.59, + "learning_rate": 1.8564812737007113e-05, + "loss": 0.5889, + "step": 636 + }, + { + "epoch": 0.59, + "learning_rate": 1.8559614226935725e-05, + "loss": 0.5609, + "step": 637 + }, + { + "epoch": 0.59, + "learning_rate": 1.8554407049479032e-05, + "loss": 0.5704, + "step": 638 + }, + { + "epoch": 0.6, + "learning_rate": 1.854919120990978e-05, + "loss": 0.522, + "step": 639 + }, + { + "epoch": 0.6, + "learning_rate": 1.8543966713509473e-05, + "loss": 0.5306, + "step": 640 + }, + { + "epoch": 0.6, + "learning_rate": 1.8538733565568394e-05, + "loss": 0.556, + "step": 641 + }, + { + "epoch": 0.6, + "learning_rate": 1.8533491771385573e-05, + "loss": 0.5306, + "step": 642 + }, + { + "epoch": 0.6, + "learning_rate": 1.852824133626881e-05, + "loss": 0.53, + "step": 643 + }, + { + "epoch": 0.6, + "learning_rate": 1.8522982265534634e-05, + "loss": 0.5505, + "step": 644 + }, + { + "epoch": 0.6, + "learning_rate": 1.8517714564508342e-05, + "loss": 0.5139, + "step": 645 + }, + { + "epoch": 0.6, + "learning_rate": 1.8512438238523956e-05, + "loss": 0.5455, + "step": 646 + }, + { + "epoch": 0.6, + "learning_rate": 1.850715329292423e-05, + "loss": 0.5638, + "step": 647 + }, + { + "epoch": 0.6, + "learning_rate": 1.8501859733060654e-05, + "loss": 0.5265, + "step": 648 + }, + { + "epoch": 0.6, + "learning_rate": 1.8496557564293435e-05, + "loss": 0.569, + "step": 649 + }, + { + "epoch": 0.61, + "learning_rate": 1.8491246791991506e-05, + "loss": 0.5353, + "step": 650 + }, + { + "epoch": 0.61, + "learning_rate": 1.8485927421532498e-05, + "loss": 0.569, + "step": 651 + }, + { + "epoch": 0.61, + "learning_rate": 1.8480599458302756e-05, + "loss": 0.5367, + "step": 652 + }, + { + "epoch": 0.61, + "learning_rate": 1.847526290769733e-05, + "loss": 0.5737, + "step": 653 + }, + { + "epoch": 0.61, + "learning_rate": 1.8469917775119962e-05, + "loss": 0.5267, + "step": 654 + }, + { + "epoch": 0.61, + "learning_rate": 1.8464564065983078e-05, + "loss": 0.5641, + "step": 655 + }, + { + "epoch": 0.61, + "learning_rate": 1.8459201785707796e-05, + "loss": 0.5458, + "step": 656 + }, + { + "epoch": 0.61, + "learning_rate": 1.8453830939723913e-05, + "loss": 0.556, + "step": 657 + }, + { + "epoch": 0.61, + "learning_rate": 1.8448451533469896e-05, + "loss": 0.5586, + "step": 658 + }, + { + "epoch": 0.61, + "learning_rate": 1.844306357239288e-05, + "loss": 0.5483, + "step": 659 + }, + { + "epoch": 0.61, + "learning_rate": 1.8437667061948664e-05, + "loss": 0.5693, + "step": 660 + }, + { + "epoch": 0.62, + "learning_rate": 1.8432262007601706e-05, + "loss": 0.5206, + "step": 661 + }, + { + "epoch": 0.62, + "learning_rate": 1.8426848414825115e-05, + "loss": 0.5441, + "step": 662 + }, + { + "epoch": 0.62, + "learning_rate": 1.8421426289100636e-05, + "loss": 0.5377, + "step": 663 + }, + { + "epoch": 0.62, + "learning_rate": 1.8415995635918677e-05, + "loss": 0.5461, + "step": 664 + }, + { + "epoch": 0.62, + "learning_rate": 1.8410556460778252e-05, + "loss": 0.5652, + "step": 665 + }, + { + "epoch": 0.62, + "learning_rate": 1.8405108769187024e-05, + "loss": 0.5463, + "step": 666 + }, + { + "epoch": 0.62, + "learning_rate": 1.8399652566661282e-05, + "loss": 0.5514, + "step": 667 + }, + { + "epoch": 0.62, + "learning_rate": 1.8394187858725914e-05, + "loss": 0.5764, + "step": 668 + }, + { + "epoch": 0.62, + "learning_rate": 1.8388714650914443e-05, + "loss": 0.5637, + "step": 669 + }, + { + "epoch": 0.62, + "learning_rate": 1.8383232948768978e-05, + "loss": 0.5543, + "step": 670 + }, + { + "epoch": 0.63, + "learning_rate": 1.8377742757840246e-05, + "loss": 0.5658, + "step": 671 + }, + { + "epoch": 0.63, + "learning_rate": 1.8372244083687557e-05, + "loss": 0.5461, + "step": 672 + }, + { + "epoch": 0.63, + "learning_rate": 1.8366736931878825e-05, + "loss": 0.5366, + "step": 673 + }, + { + "epoch": 0.63, + "learning_rate": 1.8361221307990535e-05, + "loss": 0.5347, + "step": 674 + }, + { + "epoch": 0.63, + "learning_rate": 1.835569721760776e-05, + "loss": 0.5475, + "step": 675 + }, + { + "epoch": 0.63, + "learning_rate": 1.8350164666324137e-05, + "loss": 0.5768, + "step": 676 + }, + { + "epoch": 0.63, + "learning_rate": 1.8344623659741877e-05, + "loss": 0.5348, + "step": 677 + }, + { + "epoch": 0.63, + "learning_rate": 1.833907420347176e-05, + "loss": 0.5293, + "step": 678 + }, + { + "epoch": 0.63, + "learning_rate": 1.83335163031331e-05, + "loss": 0.5552, + "step": 679 + }, + { + "epoch": 0.63, + "learning_rate": 1.8327949964353782e-05, + "loss": 0.5273, + "step": 680 + }, + { + "epoch": 0.63, + "learning_rate": 1.832237519277023e-05, + "loss": 0.553, + "step": 681 + }, + { + "epoch": 0.64, + "learning_rate": 1.83167919940274e-05, + "loss": 0.5486, + "step": 682 + }, + { + "epoch": 0.64, + "learning_rate": 1.8311200373778792e-05, + "loss": 0.5237, + "step": 683 + }, + { + "epoch": 0.64, + "learning_rate": 1.8305600337686428e-05, + "loss": 0.5461, + "step": 684 + }, + { + "epoch": 0.64, + "learning_rate": 1.8299991891420848e-05, + "loss": 0.5237, + "step": 685 + }, + { + "epoch": 0.64, + "learning_rate": 1.8294375040661116e-05, + "loss": 0.554, + "step": 686 + }, + { + "epoch": 0.64, + "learning_rate": 1.82887497910948e-05, + "loss": 0.5693, + "step": 687 + }, + { + "epoch": 0.64, + "learning_rate": 1.8283116148417982e-05, + "loss": 0.5498, + "step": 688 + }, + { + "epoch": 0.64, + "learning_rate": 1.8277474118335227e-05, + "loss": 0.5634, + "step": 689 + }, + { + "epoch": 0.64, + "learning_rate": 1.8271823706559604e-05, + "loss": 0.5638, + "step": 690 + }, + { + "epoch": 0.64, + "learning_rate": 1.826616491881267e-05, + "loss": 0.5339, + "step": 691 + }, + { + "epoch": 0.64, + "learning_rate": 1.826049776082446e-05, + "loss": 0.5621, + "step": 692 + }, + { + "epoch": 0.65, + "learning_rate": 1.8254822238333482e-05, + "loss": 0.5869, + "step": 693 + }, + { + "epoch": 0.65, + "learning_rate": 1.824913835708672e-05, + "loss": 0.5797, + "step": 694 + }, + { + "epoch": 0.65, + "learning_rate": 1.824344612283962e-05, + "loss": 0.5558, + "step": 695 + }, + { + "epoch": 0.65, + "learning_rate": 1.823774554135608e-05, + "loss": 0.5372, + "step": 696 + }, + { + "epoch": 0.65, + "learning_rate": 1.823203661840846e-05, + "loss": 0.5721, + "step": 697 + }, + { + "epoch": 0.65, + "learning_rate": 1.8226319359777563e-05, + "loss": 0.573, + "step": 698 + }, + { + "epoch": 0.65, + "learning_rate": 1.822059377125263e-05, + "loss": 0.5277, + "step": 699 + }, + { + "epoch": 0.65, + "learning_rate": 1.8214859858631334e-05, + "loss": 0.5559, + "step": 700 + }, + { + "epoch": 0.65, + "learning_rate": 1.8209117627719788e-05, + "loss": 0.556, + "step": 701 + }, + { + "epoch": 0.65, + "learning_rate": 1.8203367084332513e-05, + "loss": 0.5298, + "step": 702 + }, + { + "epoch": 0.65, + "learning_rate": 1.8197608234292466e-05, + "loss": 0.5355, + "step": 703 + }, + { + "epoch": 0.66, + "learning_rate": 1.8191841083431e-05, + "loss": 0.549, + "step": 704 + }, + { + "epoch": 0.66, + "learning_rate": 1.818606563758788e-05, + "loss": 0.5397, + "step": 705 + }, + { + "epoch": 0.66, + "learning_rate": 1.818028190261126e-05, + "loss": 0.5281, + "step": 706 + }, + { + "epoch": 0.66, + "learning_rate": 1.8174489884357705e-05, + "loss": 0.5151, + "step": 707 + }, + { + "epoch": 0.66, + "learning_rate": 1.816868958869215e-05, + "loss": 0.5647, + "step": 708 + }, + { + "epoch": 0.66, + "learning_rate": 1.816288102148793e-05, + "loss": 0.5323, + "step": 709 + }, + { + "epoch": 0.66, + "learning_rate": 1.8157064188626744e-05, + "loss": 0.576, + "step": 710 + }, + { + "epoch": 0.66, + "learning_rate": 1.8151239095998655e-05, + "loss": 0.5139, + "step": 711 + }, + { + "epoch": 0.66, + "learning_rate": 1.8145405749502105e-05, + "loss": 0.5786, + "step": 712 + }, + { + "epoch": 0.66, + "learning_rate": 1.8139564155043885e-05, + "loss": 0.5568, + "step": 713 + }, + { + "epoch": 0.67, + "learning_rate": 1.8133714318539134e-05, + "loss": 0.5608, + "step": 714 + }, + { + "epoch": 0.67, + "learning_rate": 1.8127856245911347e-05, + "loss": 0.5408, + "step": 715 + }, + { + "epoch": 0.67, + "learning_rate": 1.812198994309235e-05, + "loss": 0.5388, + "step": 716 + }, + { + "epoch": 0.67, + "learning_rate": 1.8116115416022308e-05, + "loss": 0.5421, + "step": 717 + }, + { + "epoch": 0.67, + "learning_rate": 1.8110232670649712e-05, + "loss": 0.5421, + "step": 718 + }, + { + "epoch": 0.67, + "learning_rate": 1.8104341712931376e-05, + "loss": 0.5641, + "step": 719 + }, + { + "epoch": 0.67, + "learning_rate": 1.8098442548832428e-05, + "loss": 0.5491, + "step": 720 + }, + { + "epoch": 0.67, + "learning_rate": 1.80925351843263e-05, + "loss": 0.5083, + "step": 721 + }, + { + "epoch": 0.67, + "learning_rate": 1.8086619625394748e-05, + "loss": 0.5521, + "step": 722 + }, + { + "epoch": 0.67, + "learning_rate": 1.80806958780278e-05, + "loss": 0.5641, + "step": 723 + }, + { + "epoch": 0.67, + "learning_rate": 1.8074763948223793e-05, + "loss": 0.519, + "step": 724 + }, + { + "epoch": 0.68, + "learning_rate": 1.806882384198934e-05, + "loss": 0.5421, + "step": 725 + }, + { + "epoch": 0.68, + "learning_rate": 1.8062875565339338e-05, + "loss": 0.5288, + "step": 726 + }, + { + "epoch": 0.68, + "learning_rate": 1.8056919124296957e-05, + "loss": 0.5685, + "step": 727 + }, + { + "epoch": 0.68, + "learning_rate": 1.8050954524893637e-05, + "loss": 0.5765, + "step": 728 + }, + { + "epoch": 0.68, + "learning_rate": 1.8044981773169064e-05, + "loss": 0.5408, + "step": 729 + }, + { + "epoch": 0.68, + "learning_rate": 1.8039000875171203e-05, + "loss": 0.574, + "step": 730 + }, + { + "epoch": 0.68, + "learning_rate": 1.8033011836956252e-05, + "loss": 0.5565, + "step": 731 + }, + { + "epoch": 0.68, + "learning_rate": 1.8027014664588654e-05, + "loss": 0.5504, + "step": 732 + }, + { + "epoch": 0.68, + "learning_rate": 1.8021009364141087e-05, + "loss": 0.5638, + "step": 733 + }, + { + "epoch": 0.68, + "learning_rate": 1.801499594169447e-05, + "loss": 0.5571, + "step": 734 + }, + { + "epoch": 0.68, + "learning_rate": 1.8008974403337925e-05, + "loss": 0.579, + "step": 735 + }, + { + "epoch": 0.69, + "learning_rate": 1.800294475516882e-05, + "loss": 0.5536, + "step": 736 + }, + { + "epoch": 0.69, + "learning_rate": 1.7996907003292708e-05, + "loss": 0.5253, + "step": 737 + }, + { + "epoch": 0.69, + "learning_rate": 1.7990861153823373e-05, + "loss": 0.5513, + "step": 738 + }, + { + "epoch": 0.69, + "learning_rate": 1.798480721288277e-05, + "loss": 0.546, + "step": 739 + }, + { + "epoch": 0.69, + "learning_rate": 1.7978745186601078e-05, + "loss": 0.5371, + "step": 740 + }, + { + "epoch": 0.69, + "learning_rate": 1.797267508111664e-05, + "loss": 0.5497, + "step": 741 + }, + { + "epoch": 0.69, + "learning_rate": 1.7966596902575985e-05, + "loss": 0.5769, + "step": 742 + }, + { + "epoch": 0.69, + "learning_rate": 1.7960510657133828e-05, + "loss": 0.5577, + "step": 743 + }, + { + "epoch": 0.69, + "learning_rate": 1.7954416350953037e-05, + "loss": 0.5397, + "step": 744 + }, + { + "epoch": 0.69, + "learning_rate": 1.7948313990204654e-05, + "loss": 0.5537, + "step": 745 + }, + { + "epoch": 0.69, + "learning_rate": 1.7942203581067875e-05, + "loss": 0.5668, + "step": 746 + }, + { + "epoch": 0.7, + "learning_rate": 1.7936085129730036e-05, + "loss": 0.5519, + "step": 747 + }, + { + "epoch": 0.7, + "learning_rate": 1.7929958642386627e-05, + "loss": 0.5847, + "step": 748 + }, + { + "epoch": 0.7, + "learning_rate": 1.7923824125241273e-05, + "loss": 0.5397, + "step": 749 + }, + { + "epoch": 0.7, + "learning_rate": 1.791768158450573e-05, + "loss": 0.5309, + "step": 750 + }, + { + "epoch": 0.7, + "learning_rate": 1.791153102639987e-05, + "loss": 0.5717, + "step": 751 + }, + { + "epoch": 0.7, + "learning_rate": 1.7905372457151698e-05, + "loss": 0.5753, + "step": 752 + }, + { + "epoch": 0.7, + "learning_rate": 1.7899205882997322e-05, + "loss": 0.512, + "step": 753 + }, + { + "epoch": 0.7, + "learning_rate": 1.789303131018095e-05, + "loss": 0.5237, + "step": 754 + }, + { + "epoch": 0.7, + "learning_rate": 1.788684874495491e-05, + "loss": 0.5583, + "step": 755 + }, + { + "epoch": 0.7, + "learning_rate": 1.78806581935796e-05, + "loss": 0.5314, + "step": 756 + }, + { + "epoch": 0.71, + "learning_rate": 1.7874459662323516e-05, + "loss": 0.5226, + "step": 757 + }, + { + "epoch": 0.71, + "learning_rate": 1.7868253157463236e-05, + "loss": 0.5374, + "step": 758 + }, + { + "epoch": 0.71, + "learning_rate": 1.7862038685283404e-05, + "loss": 0.5646, + "step": 759 + }, + { + "epoch": 0.71, + "learning_rate": 1.785581625207674e-05, + "loss": 0.5503, + "step": 760 + }, + { + "epoch": 0.71, + "learning_rate": 1.784958586414402e-05, + "loss": 0.5492, + "step": 761 + }, + { + "epoch": 0.71, + "learning_rate": 1.784334752779408e-05, + "loss": 0.5593, + "step": 762 + }, + { + "epoch": 0.71, + "learning_rate": 1.7837101249343798e-05, + "loss": 0.5256, + "step": 763 + }, + { + "epoch": 0.71, + "learning_rate": 1.7830847035118095e-05, + "loss": 0.5336, + "step": 764 + }, + { + "epoch": 0.71, + "learning_rate": 1.7824584891449934e-05, + "loss": 0.5325, + "step": 765 + }, + { + "epoch": 0.71, + "learning_rate": 1.78183148246803e-05, + "loss": 0.526, + "step": 766 + }, + { + "epoch": 0.71, + "learning_rate": 1.7812036841158205e-05, + "loss": 0.5466, + "step": 767 + }, + { + "epoch": 0.72, + "learning_rate": 1.7805750947240677e-05, + "loss": 0.5447, + "step": 768 + }, + { + "epoch": 0.72, + "learning_rate": 1.7799457149292752e-05, + "loss": 0.574, + "step": 769 + }, + { + "epoch": 0.72, + "learning_rate": 1.7793155453687477e-05, + "loss": 0.5262, + "step": 770 + }, + { + "epoch": 0.72, + "learning_rate": 1.7786845866805878e-05, + "loss": 0.5687, + "step": 771 + }, + { + "epoch": 0.72, + "learning_rate": 1.7780528395036997e-05, + "loss": 0.5437, + "step": 772 + }, + { + "epoch": 0.72, + "learning_rate": 1.777420304477784e-05, + "loss": 0.5735, + "step": 773 + }, + { + "epoch": 0.72, + "learning_rate": 1.776786982243339e-05, + "loss": 0.5472, + "step": 774 + }, + { + "epoch": 0.72, + "learning_rate": 1.7761528734416623e-05, + "loss": 0.5551, + "step": 775 + }, + { + "epoch": 0.72, + "learning_rate": 1.775517978714846e-05, + "loss": 0.5292, + "step": 776 + }, + { + "epoch": 0.72, + "learning_rate": 1.7748822987057782e-05, + "loss": 0.5155, + "step": 777 + }, + { + "epoch": 0.72, + "learning_rate": 1.774245834058143e-05, + "loss": 0.558, + "step": 778 + }, + { + "epoch": 0.73, + "learning_rate": 1.773608585416418e-05, + "loss": 0.5471, + "step": 779 + }, + { + "epoch": 0.73, + "learning_rate": 1.7729705534258758e-05, + "loss": 0.5442, + "step": 780 + }, + { + "epoch": 0.73, + "learning_rate": 1.772331738732582e-05, + "loss": 0.5186, + "step": 781 + }, + { + "epoch": 0.73, + "learning_rate": 1.7716921419833927e-05, + "loss": 0.5138, + "step": 782 + }, + { + "epoch": 0.73, + "learning_rate": 1.7710517638259593e-05, + "loss": 0.5426, + "step": 783 + }, + { + "epoch": 0.73, + "learning_rate": 1.7704106049087218e-05, + "loss": 0.5107, + "step": 784 + }, + { + "epoch": 0.73, + "learning_rate": 1.7697686658809124e-05, + "loss": 0.5331, + "step": 785 + }, + { + "epoch": 0.73, + "learning_rate": 1.7691259473925518e-05, + "loss": 0.53, + "step": 786 + }, + { + "epoch": 0.73, + "learning_rate": 1.7684824500944514e-05, + "loss": 0.5543, + "step": 787 + }, + { + "epoch": 0.73, + "learning_rate": 1.7678381746382097e-05, + "loss": 0.5635, + "step": 788 + }, + { + "epoch": 0.73, + "learning_rate": 1.767193121676215e-05, + "loss": 0.5292, + "step": 789 + }, + { + "epoch": 0.74, + "learning_rate": 1.7665472918616412e-05, + "loss": 0.5701, + "step": 790 + }, + { + "epoch": 0.74, + "learning_rate": 1.76590068584845e-05, + "loss": 0.542, + "step": 791 + }, + { + "epoch": 0.74, + "learning_rate": 1.7652533042913885e-05, + "loss": 0.5698, + "step": 792 + }, + { + "epoch": 0.74, + "learning_rate": 1.764605147845989e-05, + "loss": 0.5414, + "step": 793 + }, + { + "epoch": 0.74, + "learning_rate": 1.7639562171685683e-05, + "loss": 0.5673, + "step": 794 + }, + { + "epoch": 0.74, + "learning_rate": 1.7633065129162282e-05, + "loss": 0.5546, + "step": 795 + }, + { + "epoch": 0.74, + "learning_rate": 1.7626560357468533e-05, + "loss": 0.5245, + "step": 796 + }, + { + "epoch": 0.74, + "learning_rate": 1.76200478631911e-05, + "loss": 0.5475, + "step": 797 + }, + { + "epoch": 0.74, + "learning_rate": 1.7613527652924475e-05, + "loss": 0.5256, + "step": 798 + }, + { + "epoch": 0.74, + "learning_rate": 1.7606999733270967e-05, + "loss": 0.5294, + "step": 799 + }, + { + "epoch": 0.75, + "learning_rate": 1.7600464110840682e-05, + "loss": 0.5295, + "step": 800 + }, + { + "epoch": 0.75, + "learning_rate": 1.759392079225153e-05, + "loss": 0.5444, + "step": 801 + }, + { + "epoch": 0.75, + "learning_rate": 1.7587369784129217e-05, + "loss": 0.5377, + "step": 802 + }, + { + "epoch": 0.75, + "learning_rate": 1.758081109310723e-05, + "loss": 0.5341, + "step": 803 + }, + { + "epoch": 0.75, + "learning_rate": 1.757424472582684e-05, + "loss": 0.5376, + "step": 804 + }, + { + "epoch": 0.75, + "learning_rate": 1.756767068893709e-05, + "loss": 0.5597, + "step": 805 + }, + { + "epoch": 0.75, + "learning_rate": 1.7561088989094786e-05, + "loss": 0.5747, + "step": 806 + }, + { + "epoch": 0.75, + "learning_rate": 1.7554499632964496e-05, + "loss": 0.5361, + "step": 807 + }, + { + "epoch": 0.75, + "learning_rate": 1.754790262721854e-05, + "loss": 0.5444, + "step": 808 + }, + { + "epoch": 0.75, + "learning_rate": 1.7541297978536987e-05, + "loss": 0.5305, + "step": 809 + }, + { + "epoch": 0.75, + "learning_rate": 1.753468569360764e-05, + "loss": 0.5399, + "step": 810 + }, + { + "epoch": 0.76, + "learning_rate": 1.7528065779126035e-05, + "loss": 0.5409, + "step": 811 + }, + { + "epoch": 0.76, + "learning_rate": 1.752143824179544e-05, + "loss": 0.5767, + "step": 812 + }, + { + "epoch": 0.76, + "learning_rate": 1.7514803088326836e-05, + "loss": 0.5966, + "step": 813 + }, + { + "epoch": 0.76, + "learning_rate": 1.750816032543891e-05, + "loss": 0.552, + "step": 814 + }, + { + "epoch": 0.76, + "learning_rate": 1.7501509959858078e-05, + "loss": 0.5619, + "step": 815 + }, + { + "epoch": 0.76, + "learning_rate": 1.7494851998318422e-05, + "loss": 0.551, + "step": 816 + }, + { + "epoch": 0.76, + "learning_rate": 1.7488186447561738e-05, + "loss": 0.5487, + "step": 817 + }, + { + "epoch": 0.76, + "learning_rate": 1.74815133143375e-05, + "loss": 0.5385, + "step": 818 + }, + { + "epoch": 0.76, + "learning_rate": 1.7474832605402862e-05, + "loss": 0.5352, + "step": 819 + }, + { + "epoch": 0.76, + "learning_rate": 1.7468144327522643e-05, + "loss": 0.5745, + "step": 820 + }, + { + "epoch": 0.76, + "learning_rate": 1.7461448487469338e-05, + "loss": 0.5474, + "step": 821 + }, + { + "epoch": 0.77, + "learning_rate": 1.7454745092023083e-05, + "loss": 0.5546, + "step": 822 + }, + { + "epoch": 0.77, + "learning_rate": 1.7448034147971678e-05, + "loss": 0.5568, + "step": 823 + }, + { + "epoch": 0.77, + "learning_rate": 1.7441315662110564e-05, + "loss": 0.5551, + "step": 824 + }, + { + "epoch": 0.77, + "learning_rate": 1.7434589641242814e-05, + "loss": 0.5719, + "step": 825 + }, + { + "epoch": 0.77, + "learning_rate": 1.7427856092179136e-05, + "loss": 0.5299, + "step": 826 + }, + { + "epoch": 0.77, + "learning_rate": 1.7421115021737853e-05, + "loss": 0.5408, + "step": 827 + }, + { + "epoch": 0.77, + "learning_rate": 1.7414366436744917e-05, + "loss": 0.5422, + "step": 828 + }, + { + "epoch": 0.77, + "learning_rate": 1.7407610344033883e-05, + "loss": 0.5364, + "step": 829 + }, + { + "epoch": 0.77, + "learning_rate": 1.7400846750445903e-05, + "loss": 0.5464, + "step": 830 + }, + { + "epoch": 0.77, + "learning_rate": 1.7394075662829727e-05, + "loss": 0.5477, + "step": 831 + }, + { + "epoch": 0.78, + "learning_rate": 1.7387297088041696e-05, + "loss": 0.524, + "step": 832 + }, + { + "epoch": 0.78, + "learning_rate": 1.7380511032945734e-05, + "loss": 0.5332, + "step": 833 + }, + { + "epoch": 0.78, + "learning_rate": 1.7373717504413334e-05, + "loss": 0.5304, + "step": 834 + }, + { + "epoch": 0.78, + "learning_rate": 1.7366916509323563e-05, + "loss": 0.5771, + "step": 835 + }, + { + "epoch": 0.78, + "learning_rate": 1.7360108054563042e-05, + "loss": 0.5364, + "step": 836 + }, + { + "epoch": 0.78, + "learning_rate": 1.7353292147025953e-05, + "loss": 0.5277, + "step": 837 + }, + { + "epoch": 0.78, + "learning_rate": 1.7346468793614015e-05, + "loss": 0.542, + "step": 838 + }, + { + "epoch": 0.78, + "learning_rate": 1.7339638001236495e-05, + "loss": 0.5627, + "step": 839 + }, + { + "epoch": 0.78, + "learning_rate": 1.7332799776810184e-05, + "loss": 0.5114, + "step": 840 + }, + { + "epoch": 0.78, + "learning_rate": 1.7325954127259413e-05, + "loss": 0.5519, + "step": 841 + }, + { + "epoch": 0.78, + "learning_rate": 1.7319101059516015e-05, + "loss": 0.5525, + "step": 842 + }, + { + "epoch": 0.79, + "learning_rate": 1.7312240580519346e-05, + "loss": 0.5361, + "step": 843 + }, + { + "epoch": 0.79, + "learning_rate": 1.7305372697216264e-05, + "loss": 0.54, + "step": 844 + }, + { + "epoch": 0.79, + "learning_rate": 1.729849741656112e-05, + "loss": 0.5885, + "step": 845 + }, + { + "epoch": 0.79, + "learning_rate": 1.729161474551576e-05, + "loss": 0.5431, + "step": 846 + }, + { + "epoch": 0.79, + "learning_rate": 1.7284724691049516e-05, + "loss": 0.5441, + "step": 847 + }, + { + "epoch": 0.79, + "learning_rate": 1.7277827260139183e-05, + "loss": 0.5305, + "step": 848 + }, + { + "epoch": 0.79, + "learning_rate": 1.7270922459769044e-05, + "loss": 0.538, + "step": 849 + }, + { + "epoch": 0.79, + "learning_rate": 1.726401029693084e-05, + "loss": 0.541, + "step": 850 + }, + { + "epoch": 0.79, + "learning_rate": 1.7257090778623745e-05, + "loss": 0.546, + "step": 851 + }, + { + "epoch": 0.79, + "learning_rate": 1.7250163911854415e-05, + "loss": 0.537, + "step": 852 + }, + { + "epoch": 0.79, + "learning_rate": 1.7243229703636924e-05, + "loss": 0.5394, + "step": 853 + }, + { + "epoch": 0.8, + "learning_rate": 1.7236288160992788e-05, + "loss": 0.5439, + "step": 854 + }, + { + "epoch": 0.8, + "learning_rate": 1.7229339290950943e-05, + "loss": 0.5553, + "step": 855 + }, + { + "epoch": 0.8, + "learning_rate": 1.7222383100547754e-05, + "loss": 0.5493, + "step": 856 + }, + { + "epoch": 0.8, + "learning_rate": 1.7215419596826994e-05, + "loss": 0.541, + "step": 857 + }, + { + "epoch": 0.8, + "learning_rate": 1.720844878683984e-05, + "loss": 0.5388, + "step": 858 + }, + { + "epoch": 0.8, + "learning_rate": 1.7201470677644873e-05, + "loss": 0.5444, + "step": 859 + }, + { + "epoch": 0.8, + "learning_rate": 1.7194485276308058e-05, + "loss": 0.5184, + "step": 860 + }, + { + "epoch": 0.8, + "learning_rate": 1.718749258990275e-05, + "loss": 0.5421, + "step": 861 + }, + { + "epoch": 0.8, + "learning_rate": 1.7180492625509675e-05, + "loss": 0.541, + "step": 862 + }, + { + "epoch": 0.8, + "learning_rate": 1.717348539021693e-05, + "loss": 0.5487, + "step": 863 + }, + { + "epoch": 0.8, + "learning_rate": 1.716647089111998e-05, + "loss": 0.5554, + "step": 864 + }, + { + "epoch": 0.81, + "learning_rate": 1.7159449135321636e-05, + "loss": 0.5488, + "step": 865 + }, + { + "epoch": 0.81, + "learning_rate": 1.715242012993207e-05, + "loss": 0.5807, + "step": 866 + }, + { + "epoch": 0.81, + "learning_rate": 1.714538388206878e-05, + "loss": 0.4967, + "step": 867 + }, + { + "epoch": 0.81, + "learning_rate": 1.7138340398856605e-05, + "loss": 0.5549, + "step": 868 + }, + { + "epoch": 0.81, + "learning_rate": 1.7131289687427718e-05, + "loss": 0.5674, + "step": 869 + }, + { + "epoch": 0.81, + "learning_rate": 1.7124231754921593e-05, + "loss": 0.5383, + "step": 870 + }, + { + "epoch": 0.81, + "learning_rate": 1.7117166608485033e-05, + "loss": 0.552, + "step": 871 + }, + { + "epoch": 0.81, + "learning_rate": 1.711009425527214e-05, + "loss": 0.5415, + "step": 872 + }, + { + "epoch": 0.81, + "learning_rate": 1.710301470244431e-05, + "loss": 0.5369, + "step": 873 + }, + { + "epoch": 0.81, + "learning_rate": 1.709592795717023e-05, + "loss": 0.5323, + "step": 874 + }, + { + "epoch": 0.82, + "learning_rate": 1.7088834026625872e-05, + "loss": 0.5452, + "step": 875 + }, + { + "epoch": 0.82, + "learning_rate": 1.7081732917994488e-05, + "loss": 0.5404, + "step": 876 + }, + { + "epoch": 0.82, + "learning_rate": 1.7074624638466595e-05, + "loss": 0.49, + "step": 877 + }, + { + "epoch": 0.82, + "learning_rate": 1.7067509195239966e-05, + "loss": 0.5426, + "step": 878 + }, + { + "epoch": 0.82, + "learning_rate": 1.706038659551963e-05, + "loss": 0.5363, + "step": 879 + }, + { + "epoch": 0.82, + "learning_rate": 1.7053256846517874e-05, + "loss": 0.517, + "step": 880 + }, + { + "epoch": 0.82, + "learning_rate": 1.704611995545421e-05, + "loss": 0.5549, + "step": 881 + }, + { + "epoch": 0.82, + "learning_rate": 1.7038975929555382e-05, + "loss": 0.5184, + "step": 882 + }, + { + "epoch": 0.82, + "learning_rate": 1.703182477605537e-05, + "loss": 0.5642, + "step": 883 + }, + { + "epoch": 0.82, + "learning_rate": 1.702466650219537e-05, + "loss": 0.5405, + "step": 884 + }, + { + "epoch": 0.82, + "learning_rate": 1.701750111522377e-05, + "loss": 0.5403, + "step": 885 + }, + { + "epoch": 0.83, + "learning_rate": 1.7010328622396183e-05, + "loss": 0.5498, + "step": 886 + }, + { + "epoch": 0.83, + "learning_rate": 1.7003149030975406e-05, + "loss": 0.5342, + "step": 887 + }, + { + "epoch": 0.83, + "learning_rate": 1.6995962348231424e-05, + "loss": 0.524, + "step": 888 + }, + { + "epoch": 0.83, + "learning_rate": 1.698876858144141e-05, + "loss": 0.5325, + "step": 889 + }, + { + "epoch": 0.83, + "learning_rate": 1.69815677378897e-05, + "loss": 0.5381, + "step": 890 + }, + { + "epoch": 0.83, + "learning_rate": 1.6974359824867802e-05, + "loss": 0.5326, + "step": 891 + }, + { + "epoch": 0.83, + "learning_rate": 1.6967144849674385e-05, + "loss": 0.5217, + "step": 892 + }, + { + "epoch": 0.83, + "learning_rate": 1.6959922819615263e-05, + "loss": 0.5758, + "step": 893 + }, + { + "epoch": 0.83, + "learning_rate": 1.695269374200339e-05, + "loss": 0.52, + "step": 894 + }, + { + "epoch": 0.83, + "learning_rate": 1.694545762415887e-05, + "loss": 0.5618, + "step": 895 + }, + { + "epoch": 0.83, + "learning_rate": 1.6938214473408928e-05, + "loss": 0.5406, + "step": 896 + }, + { + "epoch": 0.84, + "learning_rate": 1.6930964297087905e-05, + "loss": 0.5503, + "step": 897 + }, + { + "epoch": 0.84, + "learning_rate": 1.692370710253727e-05, + "loss": 0.5197, + "step": 898 + }, + { + "epoch": 0.84, + "learning_rate": 1.6916442897105586e-05, + "loss": 0.5127, + "step": 899 + }, + { + "epoch": 0.84, + "learning_rate": 1.6909171688148514e-05, + "loss": 0.4993, + "step": 900 + }, + { + "epoch": 0.84, + "learning_rate": 1.6901893483028818e-05, + "loss": 0.5201, + "step": 901 + }, + { + "epoch": 0.84, + "learning_rate": 1.6894608289116344e-05, + "loss": 0.5569, + "step": 902 + }, + { + "epoch": 0.84, + "learning_rate": 1.6887316113788004e-05, + "loss": 0.5297, + "step": 903 + }, + { + "epoch": 0.84, + "learning_rate": 1.6880016964427792e-05, + "loss": 0.5459, + "step": 904 + }, + { + "epoch": 0.84, + "learning_rate": 1.6872710848426753e-05, + "loss": 0.561, + "step": 905 + }, + { + "epoch": 0.84, + "learning_rate": 1.6865397773183e-05, + "loss": 0.533, + "step": 906 + }, + { + "epoch": 0.84, + "learning_rate": 1.6858077746101674e-05, + "loss": 0.5292, + "step": 907 + }, + { + "epoch": 0.85, + "learning_rate": 1.6850750774594972e-05, + "loss": 0.5444, + "step": 908 + }, + { + "epoch": 0.85, + "learning_rate": 1.6843416866082118e-05, + "loss": 0.5646, + "step": 909 + }, + { + "epoch": 0.85, + "learning_rate": 1.6836076027989354e-05, + "loss": 0.5388, + "step": 910 + }, + { + "epoch": 0.85, + "learning_rate": 1.682872826774995e-05, + "loss": 0.5544, + "step": 911 + }, + { + "epoch": 0.85, + "learning_rate": 1.6821373592804174e-05, + "loss": 0.5306, + "step": 912 + }, + { + "epoch": 0.85, + "learning_rate": 1.6814012010599308e-05, + "loss": 0.5544, + "step": 913 + }, + { + "epoch": 0.85, + "learning_rate": 1.680664352858961e-05, + "loss": 0.5526, + "step": 914 + }, + { + "epoch": 0.85, + "learning_rate": 1.6799268154236347e-05, + "loss": 0.5596, + "step": 915 + }, + { + "epoch": 0.85, + "learning_rate": 1.6791885895007748e-05, + "loss": 0.5756, + "step": 916 + }, + { + "epoch": 0.85, + "learning_rate": 1.6784496758379024e-05, + "loss": 0.5098, + "step": 917 + }, + { + "epoch": 0.86, + "learning_rate": 1.6777100751832342e-05, + "loss": 0.5692, + "step": 918 + }, + { + "epoch": 0.86, + "learning_rate": 1.6769697882856832e-05, + "loss": 0.5763, + "step": 919 + }, + { + "epoch": 0.86, + "learning_rate": 1.6762288158948563e-05, + "loss": 0.5536, + "step": 920 + }, + { + "epoch": 0.86, + "learning_rate": 1.6754871587610562e-05, + "loss": 0.5426, + "step": 921 + }, + { + "epoch": 0.86, + "learning_rate": 1.674744817635277e-05, + "loss": 0.54, + "step": 922 + }, + { + "epoch": 0.86, + "learning_rate": 1.6740017932692073e-05, + "loss": 0.5365, + "step": 923 + }, + { + "epoch": 0.86, + "learning_rate": 1.673258086415226e-05, + "loss": 0.5659, + "step": 924 + }, + { + "epoch": 0.86, + "learning_rate": 1.672513697826404e-05, + "loss": 0.557, + "step": 925 + }, + { + "epoch": 0.86, + "learning_rate": 1.6717686282565024e-05, + "loss": 0.5713, + "step": 926 + }, + { + "epoch": 0.86, + "learning_rate": 1.671022878459971e-05, + "loss": 0.5333, + "step": 927 + }, + { + "epoch": 0.86, + "learning_rate": 1.6702764491919494e-05, + "loss": 0.5115, + "step": 928 + }, + { + "epoch": 0.87, + "learning_rate": 1.6695293412082654e-05, + "loss": 0.5553, + "step": 929 + }, + { + "epoch": 0.87, + "learning_rate": 1.6687815552654328e-05, + "loss": 0.545, + "step": 930 + }, + { + "epoch": 0.87, + "learning_rate": 1.668033092120653e-05, + "loss": 0.5327, + "step": 931 + }, + { + "epoch": 0.87, + "learning_rate": 1.6672839525318125e-05, + "loss": 0.582, + "step": 932 + }, + { + "epoch": 0.87, + "learning_rate": 1.6665341372574838e-05, + "loss": 0.5385, + "step": 933 + }, + { + "epoch": 0.87, + "learning_rate": 1.665783647056922e-05, + "loss": 0.5317, + "step": 934 + }, + { + "epoch": 0.87, + "learning_rate": 1.665032482690067e-05, + "loss": 0.5542, + "step": 935 + }, + { + "epoch": 0.87, + "learning_rate": 1.66428064491754e-05, + "loss": 0.5897, + "step": 936 + }, + { + "epoch": 0.87, + "learning_rate": 1.663528134500646e-05, + "loss": 0.5496, + "step": 937 + }, + { + "epoch": 0.87, + "learning_rate": 1.6627749522013697e-05, + "loss": 0.5311, + "step": 938 + }, + { + "epoch": 0.87, + "learning_rate": 1.662021098782376e-05, + "loss": 0.5382, + "step": 939 + }, + { + "epoch": 0.88, + "learning_rate": 1.66126657500701e-05, + "loss": 0.5521, + "step": 940 + }, + { + "epoch": 0.88, + "learning_rate": 1.6605113816392954e-05, + "loss": 0.5233, + "step": 941 + }, + { + "epoch": 0.88, + "learning_rate": 1.6597555194439342e-05, + "loss": 0.5513, + "step": 942 + }, + { + "epoch": 0.88, + "learning_rate": 1.658998989186305e-05, + "loss": 0.5322, + "step": 943 + }, + { + "epoch": 0.88, + "learning_rate": 1.6582417916324636e-05, + "loss": 0.5238, + "step": 944 + }, + { + "epoch": 0.88, + "learning_rate": 1.657483927549141e-05, + "loss": 0.5171, + "step": 945 + }, + { + "epoch": 0.88, + "learning_rate": 1.6567253977037435e-05, + "loss": 0.5206, + "step": 946 + }, + { + "epoch": 0.88, + "learning_rate": 1.655966202864351e-05, + "loss": 0.5349, + "step": 947 + }, + { + "epoch": 0.88, + "learning_rate": 1.6552063437997175e-05, + "loss": 0.4974, + "step": 948 + }, + { + "epoch": 0.88, + "learning_rate": 1.6544458212792687e-05, + "loss": 0.5546, + "step": 949 + }, + { + "epoch": 0.88, + "learning_rate": 1.6536846360731024e-05, + "loss": 0.5446, + "step": 950 + }, + { + "epoch": 0.89, + "learning_rate": 1.6529227889519884e-05, + "loss": 0.5724, + "step": 951 + }, + { + "epoch": 0.89, + "learning_rate": 1.652160280687366e-05, + "loss": 0.5582, + "step": 952 + }, + { + "epoch": 0.89, + "learning_rate": 1.651397112051343e-05, + "loss": 0.5592, + "step": 953 + }, + { + "epoch": 0.89, + "learning_rate": 1.6506332838166974e-05, + "loss": 0.5107, + "step": 954 + }, + { + "epoch": 0.89, + "learning_rate": 1.6498687967568747e-05, + "loss": 0.5262, + "step": 955 + }, + { + "epoch": 0.89, + "learning_rate": 1.649103651645987e-05, + "loss": 0.5321, + "step": 956 + }, + { + "epoch": 0.89, + "learning_rate": 1.6483378492588133e-05, + "loss": 0.5287, + "step": 957 + }, + { + "epoch": 0.89, + "learning_rate": 1.6475713903707977e-05, + "loss": 0.5211, + "step": 958 + }, + { + "epoch": 0.89, + "learning_rate": 1.64680427575805e-05, + "loss": 0.5326, + "step": 959 + }, + { + "epoch": 0.89, + "learning_rate": 1.646036506197342e-05, + "loss": 0.5293, + "step": 960 + }, + { + "epoch": 0.9, + "learning_rate": 1.6452680824661107e-05, + "loss": 0.5447, + "step": 961 + }, + { + "epoch": 0.9, + "learning_rate": 1.6444990053424552e-05, + "loss": 0.5007, + "step": 962 + }, + { + "epoch": 0.9, + "learning_rate": 1.6437292756051354e-05, + "loss": 0.5492, + "step": 963 + }, + { + "epoch": 0.9, + "learning_rate": 1.642958894033572e-05, + "loss": 0.5238, + "step": 964 + }, + { + "epoch": 0.9, + "learning_rate": 1.642187861407847e-05, + "loss": 0.5183, + "step": 965 + }, + { + "epoch": 0.9, + "learning_rate": 1.6414161785087e-05, + "loss": 0.5308, + "step": 966 + }, + { + "epoch": 0.9, + "learning_rate": 1.6406438461175308e-05, + "loss": 0.5187, + "step": 967 + }, + { + "epoch": 0.9, + "learning_rate": 1.6398708650163952e-05, + "loss": 0.5671, + "step": 968 + }, + { + "epoch": 0.9, + "learning_rate": 1.639097235988007e-05, + "loss": 0.5559, + "step": 969 + }, + { + "epoch": 0.9, + "learning_rate": 1.6383229598157356e-05, + "loss": 0.5725, + "step": 970 + }, + { + "epoch": 0.9, + "learning_rate": 1.6375480372836054e-05, + "loss": 0.5723, + "step": 971 + }, + { + "epoch": 0.91, + "learning_rate": 1.6367724691762967e-05, + "loss": 0.543, + "step": 972 + }, + { + "epoch": 0.91, + "learning_rate": 1.6359962562791416e-05, + "loss": 0.5201, + "step": 973 + }, + { + "epoch": 0.91, + "learning_rate": 1.6352193993781263e-05, + "loss": 0.5657, + "step": 974 + }, + { + "epoch": 0.91, + "learning_rate": 1.634441899259889e-05, + "loss": 0.5116, + "step": 975 + }, + { + "epoch": 0.91, + "learning_rate": 1.633663756711719e-05, + "loss": 0.5594, + "step": 976 + }, + { + "epoch": 0.91, + "learning_rate": 1.632884972521556e-05, + "loss": 0.5524, + "step": 977 + }, + { + "epoch": 0.91, + "learning_rate": 1.63210554747799e-05, + "loss": 0.545, + "step": 978 + }, + { + "epoch": 0.91, + "learning_rate": 1.631325482370259e-05, + "loss": 0.5239, + "step": 979 + }, + { + "epoch": 0.91, + "learning_rate": 1.63054477798825e-05, + "loss": 0.5514, + "step": 980 + }, + { + "epoch": 0.91, + "learning_rate": 1.6297634351224964e-05, + "loss": 0.532, + "step": 981 + }, + { + "epoch": 0.91, + "learning_rate": 1.6289814545641792e-05, + "loss": 0.5425, + "step": 982 + }, + { + "epoch": 0.92, + "learning_rate": 1.6281988371051244e-05, + "loss": 0.5458, + "step": 983 + }, + { + "epoch": 0.92, + "learning_rate": 1.6274155835378032e-05, + "loss": 0.5492, + "step": 984 + }, + { + "epoch": 0.92, + "learning_rate": 1.6266316946553312e-05, + "loss": 0.5161, + "step": 985 + }, + { + "epoch": 0.92, + "learning_rate": 1.625847171251466e-05, + "loss": 0.5458, + "step": 986 + }, + { + "epoch": 0.92, + "learning_rate": 1.6250620141206096e-05, + "loss": 0.5466, + "step": 987 + }, + { + "epoch": 0.92, + "learning_rate": 1.624276224057804e-05, + "loss": 0.5328, + "step": 988 + }, + { + "epoch": 0.92, + "learning_rate": 1.6234898018587336e-05, + "loss": 0.5483, + "step": 989 + }, + { + "epoch": 0.92, + "learning_rate": 1.622702748319722e-05, + "loss": 0.5488, + "step": 990 + }, + { + "epoch": 0.92, + "learning_rate": 1.6219150642377314e-05, + "loss": 0.5533, + "step": 991 + }, + { + "epoch": 0.92, + "learning_rate": 1.6211267504103647e-05, + "loss": 0.5552, + "step": 992 + }, + { + "epoch": 0.93, + "learning_rate": 1.6203378076358602e-05, + "loss": 0.5687, + "step": 993 + }, + { + "epoch": 0.93, + "learning_rate": 1.619548236713094e-05, + "loss": 0.5269, + "step": 994 + }, + { + "epoch": 0.93, + "learning_rate": 1.6187580384415785e-05, + "loss": 0.5162, + "step": 995 + }, + { + "epoch": 0.93, + "learning_rate": 1.617967213621461e-05, + "loss": 0.5306, + "step": 996 + }, + { + "epoch": 0.93, + "learning_rate": 1.617175763053523e-05, + "loss": 0.4924, + "step": 997 + }, + { + "epoch": 0.93, + "learning_rate": 1.6163836875391808e-05, + "loss": 0.5189, + "step": 998 + }, + { + "epoch": 0.93, + "learning_rate": 1.615590987880482e-05, + "loss": 0.5537, + "step": 999 + }, + { + "epoch": 0.93, + "learning_rate": 1.614797664880107e-05, + "loss": 0.5275, + "step": 1000 + }, + { + "epoch": 0.93, + "learning_rate": 1.6140037193413667e-05, + "loss": 0.5543, + "step": 1001 + }, + { + "epoch": 0.93, + "learning_rate": 1.6132091520682042e-05, + "loss": 0.5375, + "step": 1002 + }, + { + "epoch": 0.93, + "learning_rate": 1.6124139638651896e-05, + "loss": 0.5254, + "step": 1003 + }, + { + "epoch": 0.94, + "learning_rate": 1.6116181555375236e-05, + "loss": 0.5493, + "step": 1004 + }, + { + "epoch": 0.94, + "learning_rate": 1.6108217278910344e-05, + "loss": 0.5338, + "step": 1005 + }, + { + "epoch": 0.94, + "learning_rate": 1.610024681732177e-05, + "loss": 0.5043, + "step": 1006 + }, + { + "epoch": 0.94, + "learning_rate": 1.609227017868033e-05, + "loss": 0.5197, + "step": 1007 + }, + { + "epoch": 0.94, + "learning_rate": 1.608428737106309e-05, + "loss": 0.5227, + "step": 1008 + }, + { + "epoch": 0.94, + "learning_rate": 1.6076298402553372e-05, + "loss": 0.5438, + "step": 1009 + }, + { + "epoch": 0.94, + "learning_rate": 1.6068303281240727e-05, + "loss": 0.5634, + "step": 1010 + }, + { + "epoch": 0.94, + "learning_rate": 1.606030201522094e-05, + "loss": 0.5526, + "step": 1011 + }, + { + "epoch": 0.94, + "learning_rate": 1.6052294612596022e-05, + "loss": 0.5625, + "step": 1012 + }, + { + "epoch": 0.94, + "learning_rate": 1.6044281081474188e-05, + "loss": 0.5173, + "step": 1013 + }, + { + "epoch": 0.94, + "learning_rate": 1.603626142996987e-05, + "loss": 0.551, + "step": 1014 + }, + { + "epoch": 0.95, + "learning_rate": 1.6028235666203687e-05, + "loss": 0.537, + "step": 1015 + }, + { + "epoch": 0.95, + "learning_rate": 1.6020203798302455e-05, + "loss": 0.533, + "step": 1016 + }, + { + "epoch": 0.95, + "learning_rate": 1.6012165834399173e-05, + "loss": 0.5129, + "step": 1017 + }, + { + "epoch": 0.95, + "learning_rate": 1.6004121782632997e-05, + "loss": 0.5067, + "step": 1018 + }, + { + "epoch": 0.95, + "learning_rate": 1.5996071651149268e-05, + "loss": 0.5452, + "step": 1019 + }, + { + "epoch": 0.95, + "learning_rate": 1.5988015448099475e-05, + "loss": 0.5272, + "step": 1020 + }, + { + "epoch": 0.95, + "learning_rate": 1.5979953181641246e-05, + "loss": 0.5482, + "step": 1021 + }, + { + "epoch": 0.95, + "learning_rate": 1.597188485993836e-05, + "loss": 0.5255, + "step": 1022 + }, + { + "epoch": 0.95, + "learning_rate": 1.5963810491160727e-05, + "loss": 0.5325, + "step": 1023 + }, + { + "epoch": 0.95, + "learning_rate": 1.595573008348437e-05, + "loss": 0.5369, + "step": 1024 + }, + { + "epoch": 0.95, + "learning_rate": 1.5947643645091443e-05, + "loss": 0.549, + "step": 1025 + }, + { + "epoch": 0.96, + "learning_rate": 1.5939551184170196e-05, + "loss": 0.549, + "step": 1026 + }, + { + "epoch": 0.96, + "learning_rate": 1.5931452708914972e-05, + "loss": 0.5359, + "step": 1027 + }, + { + "epoch": 0.96, + "learning_rate": 1.5923348227526218e-05, + "loss": 0.5338, + "step": 1028 + }, + { + "epoch": 0.96, + "learning_rate": 1.5915237748210458e-05, + "loss": 0.5276, + "step": 1029 + }, + { + "epoch": 0.96, + "learning_rate": 1.5907121279180277e-05, + "loss": 0.524, + "step": 1030 + }, + { + "epoch": 0.96, + "learning_rate": 1.5898998828654347e-05, + "loss": 0.535, + "step": 1031 + }, + { + "epoch": 0.96, + "learning_rate": 1.589087040485738e-05, + "loss": 0.5439, + "step": 1032 + }, + { + "epoch": 0.96, + "learning_rate": 1.5882736016020142e-05, + "loss": 0.5485, + "step": 1033 + }, + { + "epoch": 0.96, + "learning_rate": 1.5874595670379444e-05, + "loss": 0.5615, + "step": 1034 + }, + { + "epoch": 0.96, + "learning_rate": 1.5866449376178118e-05, + "loss": 0.5638, + "step": 1035 + }, + { + "epoch": 0.97, + "learning_rate": 1.5858297141665026e-05, + "loss": 0.5328, + "step": 1036 + }, + { + "epoch": 0.97, + "learning_rate": 1.5850138975095045e-05, + "loss": 0.5442, + "step": 1037 + }, + { + "epoch": 0.97, + "learning_rate": 1.5841974884729058e-05, + "loss": 0.5291, + "step": 1038 + }, + { + "epoch": 0.97, + "learning_rate": 1.583380487883395e-05, + "loss": 0.5223, + "step": 1039 + }, + { + "epoch": 0.97, + "learning_rate": 1.5825628965682588e-05, + "loss": 0.5214, + "step": 1040 + }, + { + "epoch": 0.97, + "learning_rate": 1.5817447153553826e-05, + "loss": 0.5649, + "step": 1041 + }, + { + "epoch": 0.97, + "learning_rate": 1.5809259450732495e-05, + "loss": 0.5198, + "step": 1042 + }, + { + "epoch": 0.97, + "learning_rate": 1.580106586550938e-05, + "loss": 0.5432, + "step": 1043 + }, + { + "epoch": 0.97, + "learning_rate": 1.5792866406181232e-05, + "loss": 0.5198, + "step": 1044 + }, + { + "epoch": 0.97, + "learning_rate": 1.5784661081050744e-05, + "loss": 0.498, + "step": 1045 + }, + { + "epoch": 0.97, + "learning_rate": 1.5776449898426557e-05, + "loss": 0.5344, + "step": 1046 + }, + { + "epoch": 0.98, + "learning_rate": 1.5768232866623234e-05, + "loss": 0.5341, + "step": 1047 + }, + { + "epoch": 0.98, + "learning_rate": 1.5760009993961264e-05, + "loss": 0.5176, + "step": 1048 + }, + { + "epoch": 0.98, + "learning_rate": 1.5751781288767052e-05, + "loss": 0.5449, + "step": 1049 + }, + { + "epoch": 0.98, + "learning_rate": 1.5743546759372906e-05, + "loss": 0.5487, + "step": 1050 + }, + { + "epoch": 0.98, + "learning_rate": 1.573530641411704e-05, + "loss": 0.5078, + "step": 1051 + }, + { + "epoch": 0.98, + "learning_rate": 1.5727060261343543e-05, + "loss": 0.5466, + "step": 1052 + }, + { + "epoch": 0.98, + "learning_rate": 1.5718808309402397e-05, + "loss": 0.5284, + "step": 1053 + }, + { + "epoch": 0.98, + "learning_rate": 1.5710550566649444e-05, + "loss": 0.5413, + "step": 1054 + }, + { + "epoch": 0.98, + "learning_rate": 1.5702287041446408e-05, + "loss": 0.5327, + "step": 1055 + }, + { + "epoch": 0.98, + "learning_rate": 1.569401774216085e-05, + "loss": 0.5577, + "step": 1056 + }, + { + "epoch": 0.98, + "learning_rate": 1.5685742677166188e-05, + "loss": 0.5316, + "step": 1057 + }, + { + "epoch": 0.99, + "learning_rate": 1.567746185484167e-05, + "loss": 0.5403, + "step": 1058 + }, + { + "epoch": 0.99, + "learning_rate": 1.5669175283572388e-05, + "loss": 0.5514, + "step": 1059 + }, + { + "epoch": 0.99, + "learning_rate": 1.5660882971749237e-05, + "loss": 0.5485, + "step": 1060 + }, + { + "epoch": 0.99, + "learning_rate": 1.5652584927768942e-05, + "loss": 0.551, + "step": 1061 + }, + { + "epoch": 0.99, + "learning_rate": 1.5644281160034024e-05, + "loss": 0.5652, + "step": 1062 + }, + { + "epoch": 0.99, + "learning_rate": 1.56359716769528e-05, + "loss": 0.5317, + "step": 1063 + }, + { + "epoch": 0.99, + "learning_rate": 1.562765648693937e-05, + "loss": 0.5115, + "step": 1064 + }, + { + "epoch": 0.99, + "learning_rate": 1.561933559841362e-05, + "loss": 0.5592, + "step": 1065 + }, + { + "epoch": 0.99, + "learning_rate": 1.5611009019801206e-05, + "loss": 0.5479, + "step": 1066 + }, + { + "epoch": 0.99, + "learning_rate": 1.5602676759533542e-05, + "loss": 0.5228, + "step": 1067 + }, + { + "epoch": 0.99, + "learning_rate": 1.5594338826047802e-05, + "loss": 0.5562, + "step": 1068 + }, + { + "epoch": 1.0, + "learning_rate": 1.5585995227786895e-05, + "loss": 0.5082, + "step": 1069 + }, + { + "epoch": 1.0, + "learning_rate": 1.5577645973199468e-05, + "loss": 0.5399, + "step": 1070 + }, + { + "epoch": 1.0, + "learning_rate": 1.5569291070739898e-05, + "loss": 0.5271, + "step": 1071 + }, + { + "epoch": 1.0, + "learning_rate": 1.5560930528868284e-05, + "loss": 0.5203, + "step": 1072 + }, + { + "epoch": 1.0, + "learning_rate": 1.5552564356050437e-05, + "loss": 0.5492, + "step": 1073 + }, + { + "epoch": 1.0, + "learning_rate": 1.5544192560757855e-05, + "loss": 0.5385, + "step": 1074 + }, + { + "epoch": 1.0, + "learning_rate": 1.553581515146775e-05, + "loss": 0.4989, + "step": 1075 + }, + { + "epoch": 1.0, + "learning_rate": 1.5527432136663e-05, + "loss": 0.4912, + "step": 1076 + }, + { + "epoch": 1.0, + "learning_rate": 1.551904352483217e-05, + "loss": 0.4863, + "step": 1077 + }, + { + "epoch": 1.0, + "learning_rate": 1.5510649324469493e-05, + "loss": 0.4749, + "step": 1078 + }, + { + "epoch": 1.01, + "learning_rate": 1.5502249544074855e-05, + "loss": 0.4939, + "step": 1079 + }, + { + "epoch": 1.01, + "learning_rate": 1.5493844192153796e-05, + "loss": 0.4901, + "step": 1080 + }, + { + "epoch": 1.01, + "learning_rate": 1.5485433277217495e-05, + "loss": 0.4747, + "step": 1081 + }, + { + "epoch": 1.01, + "learning_rate": 1.5477016807782767e-05, + "loss": 0.5067, + "step": 1082 + }, + { + "epoch": 1.01, + "learning_rate": 1.546859479237205e-05, + "loss": 0.4921, + "step": 1083 + }, + { + "epoch": 1.01, + "learning_rate": 1.5460167239513397e-05, + "loss": 0.5178, + "step": 1084 + }, + { + "epoch": 1.01, + "learning_rate": 1.5451734157740475e-05, + "loss": 0.476, + "step": 1085 + }, + { + "epoch": 1.01, + "learning_rate": 1.5443295555592537e-05, + "loss": 0.4987, + "step": 1086 + }, + { + "epoch": 1.01, + "learning_rate": 1.5434851441614433e-05, + "loss": 0.4885, + "step": 1087 + }, + { + "epoch": 1.01, + "learning_rate": 1.5426401824356596e-05, + "loss": 0.4983, + "step": 1088 + }, + { + "epoch": 1.01, + "learning_rate": 1.541794671237503e-05, + "loss": 0.4966, + "step": 1089 + }, + { + "epoch": 1.02, + "learning_rate": 1.54094861142313e-05, + "loss": 0.4908, + "step": 1090 + }, + { + "epoch": 1.02, + "learning_rate": 1.540102003849253e-05, + "loss": 0.4855, + "step": 1091 + }, + { + "epoch": 1.02, + "learning_rate": 1.5392548493731392e-05, + "loss": 0.5128, + "step": 1092 + }, + { + "epoch": 1.02, + "learning_rate": 1.5384071488526088e-05, + "loss": 0.4764, + "step": 1093 + }, + { + "epoch": 1.02, + "learning_rate": 1.5375589031460354e-05, + "loss": 0.4854, + "step": 1094 + }, + { + "epoch": 1.02, + "learning_rate": 1.536710113112345e-05, + "loss": 0.4875, + "step": 1095 + }, + { + "epoch": 1.02, + "learning_rate": 1.5358607796110144e-05, + "loss": 0.4996, + "step": 1096 + }, + { + "epoch": 1.02, + "learning_rate": 1.5350109035020708e-05, + "loss": 0.4576, + "step": 1097 + }, + { + "epoch": 1.02, + "learning_rate": 1.5341604856460905e-05, + "loss": 0.4745, + "step": 1098 + }, + { + "epoch": 1.02, + "learning_rate": 1.533309526904199e-05, + "loss": 0.4885, + "step": 1099 + }, + { + "epoch": 1.02, + "learning_rate": 1.532458028138069e-05, + "loss": 0.4658, + "step": 1100 + }, + { + "epoch": 1.03, + "learning_rate": 1.5316059902099198e-05, + "loss": 0.4835, + "step": 1101 + }, + { + "epoch": 1.03, + "learning_rate": 1.530753413982518e-05, + "loss": 0.4869, + "step": 1102 + }, + { + "epoch": 1.03, + "learning_rate": 1.5299003003191734e-05, + "loss": 0.5178, + "step": 1103 + }, + { + "epoch": 1.03, + "learning_rate": 1.5290466500837414e-05, + "loss": 0.4684, + "step": 1104 + }, + { + "epoch": 1.03, + "learning_rate": 1.52819246414062e-05, + "loss": 0.4946, + "step": 1105 + }, + { + "epoch": 1.03, + "learning_rate": 1.52733774335475e-05, + "loss": 0.5, + "step": 1106 + }, + { + "epoch": 1.03, + "learning_rate": 1.5264824885916136e-05, + "loss": 0.5107, + "step": 1107 + }, + { + "epoch": 1.03, + "learning_rate": 1.5256267007172343e-05, + "loss": 0.4965, + "step": 1108 + }, + { + "epoch": 1.03, + "learning_rate": 1.5247703805981742e-05, + "loss": 0.4869, + "step": 1109 + }, + { + "epoch": 1.03, + "learning_rate": 1.523913529101535e-05, + "loss": 0.528, + "step": 1110 + }, + { + "epoch": 1.03, + "learning_rate": 1.5230561470949573e-05, + "loss": 0.4813, + "step": 1111 + }, + { + "epoch": 1.04, + "learning_rate": 1.5221982354466172e-05, + "loss": 0.5195, + "step": 1112 + }, + { + "epoch": 1.04, + "learning_rate": 1.5213397950252287e-05, + "loss": 0.515, + "step": 1113 + }, + { + "epoch": 1.04, + "learning_rate": 1.5204808267000402e-05, + "loss": 0.4998, + "step": 1114 + }, + { + "epoch": 1.04, + "learning_rate": 1.5196213313408348e-05, + "loss": 0.5034, + "step": 1115 + }, + { + "epoch": 1.04, + "learning_rate": 1.5187613098179296e-05, + "loss": 0.4907, + "step": 1116 + }, + { + "epoch": 1.04, + "learning_rate": 1.5179007630021747e-05, + "loss": 0.486, + "step": 1117 + }, + { + "epoch": 1.04, + "learning_rate": 1.5170396917649515e-05, + "loss": 0.4894, + "step": 1118 + }, + { + "epoch": 1.04, + "learning_rate": 1.5161780969781728e-05, + "loss": 0.4828, + "step": 1119 + }, + { + "epoch": 1.04, + "learning_rate": 1.5153159795142811e-05, + "loss": 0.4955, + "step": 1120 + }, + { + "epoch": 1.04, + "learning_rate": 1.5144533402462486e-05, + "loss": 0.4954, + "step": 1121 + }, + { + "epoch": 1.05, + "learning_rate": 1.5135901800475762e-05, + "loss": 0.4834, + "step": 1122 + }, + { + "epoch": 1.05, + "learning_rate": 1.5127264997922912e-05, + "loss": 0.484, + "step": 1123 + }, + { + "epoch": 1.05, + "learning_rate": 1.5118623003549489e-05, + "loss": 0.4946, + "step": 1124 + }, + { + "epoch": 1.05, + "learning_rate": 1.5109975826106286e-05, + "loss": 0.4756, + "step": 1125 + }, + { + "epoch": 1.05, + "learning_rate": 1.510132347434936e-05, + "loss": 0.4971, + "step": 1126 + }, + { + "epoch": 1.05, + "learning_rate": 1.5092665957040002e-05, + "loss": 0.4502, + "step": 1127 + }, + { + "epoch": 1.05, + "learning_rate": 1.508400328294473e-05, + "loss": 0.5109, + "step": 1128 + }, + { + "epoch": 1.05, + "learning_rate": 1.507533546083529e-05, + "loss": 0.4919, + "step": 1129 + }, + { + "epoch": 1.05, + "learning_rate": 1.5066662499488636e-05, + "loss": 0.4821, + "step": 1130 + }, + { + "epoch": 1.05, + "learning_rate": 1.5057984407686927e-05, + "loss": 0.4812, + "step": 1131 + }, + { + "epoch": 1.05, + "learning_rate": 1.5049301194217515e-05, + "loss": 0.5016, + "step": 1132 + }, + { + "epoch": 1.06, + "learning_rate": 1.5040612867872945e-05, + "loss": 0.4878, + "step": 1133 + }, + { + "epoch": 1.06, + "learning_rate": 1.5031919437450934e-05, + "loss": 0.53, + "step": 1134 + }, + { + "epoch": 1.06, + "learning_rate": 1.502322091175437e-05, + "loss": 0.4896, + "step": 1135 + }, + { + "epoch": 1.06, + "learning_rate": 1.5014517299591296e-05, + "loss": 0.5035, + "step": 1136 + }, + { + "epoch": 1.06, + "learning_rate": 1.500580860977491e-05, + "loss": 0.5063, + "step": 1137 + }, + { + "epoch": 1.06, + "learning_rate": 1.4997094851123548e-05, + "loss": 0.5081, + "step": 1138 + }, + { + "epoch": 1.06, + "learning_rate": 1.498837603246068e-05, + "loss": 0.4924, + "step": 1139 + }, + { + "epoch": 1.06, + "learning_rate": 1.4979652162614903e-05, + "loss": 0.4858, + "step": 1140 + }, + { + "epoch": 1.06, + "learning_rate": 1.4970923250419926e-05, + "loss": 0.5175, + "step": 1141 + }, + { + "epoch": 1.06, + "learning_rate": 1.496218930471456e-05, + "loss": 0.486, + "step": 1142 + }, + { + "epoch": 1.06, + "learning_rate": 1.495345033434272e-05, + "loss": 0.4951, + "step": 1143 + }, + { + "epoch": 1.07, + "learning_rate": 1.4944706348153405e-05, + "loss": 0.4769, + "step": 1144 + }, + { + "epoch": 1.07, + "learning_rate": 1.4935957355000695e-05, + "loss": 0.4663, + "step": 1145 + }, + { + "epoch": 1.07, + "learning_rate": 1.4927203363743737e-05, + "loss": 0.514, + "step": 1146 + }, + { + "epoch": 1.07, + "learning_rate": 1.4918444383246738e-05, + "loss": 0.4795, + "step": 1147 + }, + { + "epoch": 1.07, + "learning_rate": 1.4909680422378965e-05, + "loss": 0.5168, + "step": 1148 + }, + { + "epoch": 1.07, + "learning_rate": 1.490091149001472e-05, + "loss": 0.4934, + "step": 1149 + }, + { + "epoch": 1.07, + "learning_rate": 1.489213759503334e-05, + "loss": 0.4729, + "step": 1150 + }, + { + "epoch": 1.07, + "learning_rate": 1.4883358746319192e-05, + "loss": 0.4799, + "step": 1151 + }, + { + "epoch": 1.07, + "learning_rate": 1.4874574952761655e-05, + "loss": 0.4891, + "step": 1152 + }, + { + "epoch": 1.07, + "learning_rate": 1.486578622325512e-05, + "loss": 0.4899, + "step": 1153 + }, + { + "epoch": 1.07, + "learning_rate": 1.4856992566698967e-05, + "loss": 0.5159, + "step": 1154 + }, + { + "epoch": 1.08, + "learning_rate": 1.4848193991997573e-05, + "loss": 0.4841, + "step": 1155 + }, + { + "epoch": 1.08, + "learning_rate": 1.4839390508060287e-05, + "loss": 0.4901, + "step": 1156 + }, + { + "epoch": 1.08, + "learning_rate": 1.4830582123801445e-05, + "loss": 0.4941, + "step": 1157 + }, + { + "epoch": 1.08, + "learning_rate": 1.4821768848140326e-05, + "loss": 0.5134, + "step": 1158 + }, + { + "epoch": 1.08, + "learning_rate": 1.481295069000117e-05, + "loss": 0.5217, + "step": 1159 + }, + { + "epoch": 1.08, + "learning_rate": 1.480412765831317e-05, + "loss": 0.5262, + "step": 1160 + }, + { + "epoch": 1.08, + "learning_rate": 1.479529976201044e-05, + "loss": 0.493, + "step": 1161 + }, + { + "epoch": 1.08, + "learning_rate": 1.4786467010032022e-05, + "loss": 0.4669, + "step": 1162 + }, + { + "epoch": 1.08, + "learning_rate": 1.477762941132188e-05, + "loss": 0.4716, + "step": 1163 + }, + { + "epoch": 1.08, + "learning_rate": 1.4768786974828887e-05, + "loss": 0.5084, + "step": 1164 + }, + { + "epoch": 1.09, + "learning_rate": 1.475993970950681e-05, + "loss": 0.4551, + "step": 1165 + }, + { + "epoch": 1.09, + "learning_rate": 1.4751087624314307e-05, + "loss": 0.4762, + "step": 1166 + }, + { + "epoch": 1.09, + "learning_rate": 1.4742230728214912e-05, + "loss": 0.5079, + "step": 1167 + }, + { + "epoch": 1.09, + "learning_rate": 1.4733369030177043e-05, + "loss": 0.5098, + "step": 1168 + }, + { + "epoch": 1.09, + "learning_rate": 1.4724502539173969e-05, + "loss": 0.4786, + "step": 1169 + }, + { + "epoch": 1.09, + "learning_rate": 1.4715631264183815e-05, + "loss": 0.468, + "step": 1170 + }, + { + "epoch": 1.09, + "learning_rate": 1.4706755214189551e-05, + "loss": 0.4817, + "step": 1171 + }, + { + "epoch": 1.09, + "learning_rate": 1.4697874398178983e-05, + "loss": 0.4998, + "step": 1172 + }, + { + "epoch": 1.09, + "learning_rate": 1.4688988825144743e-05, + "loss": 0.5199, + "step": 1173 + }, + { + "epoch": 1.09, + "learning_rate": 1.468009850408428e-05, + "loss": 0.499, + "step": 1174 + }, + { + "epoch": 1.09, + "learning_rate": 1.4671203443999847e-05, + "loss": 0.4951, + "step": 1175 + }, + { + "epoch": 1.1, + "learning_rate": 1.46623036538985e-05, + "loss": 0.4946, + "step": 1176 + }, + { + "epoch": 1.1, + "learning_rate": 1.4653399142792084e-05, + "loss": 0.4885, + "step": 1177 + }, + { + "epoch": 1.1, + "learning_rate": 1.464448991969722e-05, + "loss": 0.4926, + "step": 1178 + }, + { + "epoch": 1.1, + "learning_rate": 1.463557599363531e-05, + "loss": 0.4807, + "step": 1179 + }, + { + "epoch": 1.1, + "learning_rate": 1.4626657373632507e-05, + "loss": 0.4775, + "step": 1180 + }, + { + "epoch": 1.1, + "learning_rate": 1.4617734068719727e-05, + "loss": 0.5055, + "step": 1181 + }, + { + "epoch": 1.1, + "learning_rate": 1.460880608793262e-05, + "loss": 0.5248, + "step": 1182 + }, + { + "epoch": 1.1, + "learning_rate": 1.4599873440311577e-05, + "loss": 0.4852, + "step": 1183 + }, + { + "epoch": 1.1, + "learning_rate": 1.4590936134901714e-05, + "loss": 0.4766, + "step": 1184 + }, + { + "epoch": 1.1, + "learning_rate": 1.4581994180752866e-05, + "loss": 0.4877, + "step": 1185 + }, + { + "epoch": 1.1, + "learning_rate": 1.4573047586919566e-05, + "loss": 0.5067, + "step": 1186 + }, + { + "epoch": 1.11, + "learning_rate": 1.456409636246106e-05, + "loss": 0.5024, + "step": 1187 + }, + { + "epoch": 1.11, + "learning_rate": 1.4555140516441263e-05, + "loss": 0.4968, + "step": 1188 + }, + { + "epoch": 1.11, + "learning_rate": 1.4546180057928792e-05, + "loss": 0.4911, + "step": 1189 + }, + { + "epoch": 1.11, + "learning_rate": 1.4537214995996915e-05, + "loss": 0.5189, + "step": 1190 + }, + { + "epoch": 1.11, + "learning_rate": 1.4528245339723577e-05, + "loss": 0.4923, + "step": 1191 + }, + { + "epoch": 1.11, + "learning_rate": 1.4519271098191362e-05, + "loss": 0.4943, + "step": 1192 + }, + { + "epoch": 1.11, + "learning_rate": 1.4510292280487504e-05, + "loss": 0.4763, + "step": 1193 + }, + { + "epoch": 1.11, + "learning_rate": 1.4501308895703872e-05, + "loss": 0.4723, + "step": 1194 + }, + { + "epoch": 1.11, + "learning_rate": 1.4492320952936956e-05, + "loss": 0.4939, + "step": 1195 + }, + { + "epoch": 1.11, + "learning_rate": 1.4483328461287862e-05, + "loss": 0.4896, + "step": 1196 + }, + { + "epoch": 1.12, + "learning_rate": 1.4474331429862307e-05, + "loss": 0.4927, + "step": 1197 + }, + { + "epoch": 1.12, + "learning_rate": 1.4465329867770597e-05, + "loss": 0.5048, + "step": 1198 + }, + { + "epoch": 1.12, + "learning_rate": 1.4456323784127629e-05, + "loss": 0.5256, + "step": 1199 + }, + { + "epoch": 1.12, + "learning_rate": 1.444731318805288e-05, + "loss": 0.4857, + "step": 1200 + }, + { + "epoch": 1.12, + "learning_rate": 1.4438298088670397e-05, + "loss": 0.4749, + "step": 1201 + }, + { + "epoch": 1.12, + "learning_rate": 1.4429278495108785e-05, + "loss": 0.4739, + "step": 1202 + }, + { + "epoch": 1.12, + "learning_rate": 1.4420254416501198e-05, + "loss": 0.5007, + "step": 1203 + }, + { + "epoch": 1.12, + "learning_rate": 1.4411225861985339e-05, + "loss": 0.4904, + "step": 1204 + }, + { + "epoch": 1.12, + "learning_rate": 1.4402192840703431e-05, + "loss": 0.4689, + "step": 1205 + }, + { + "epoch": 1.12, + "learning_rate": 1.4393155361802229e-05, + "loss": 0.4978, + "step": 1206 + }, + { + "epoch": 1.12, + "learning_rate": 1.4384113434433001e-05, + "loss": 0.5035, + "step": 1207 + }, + { + "epoch": 1.13, + "learning_rate": 1.4375067067751518e-05, + "loss": 0.5033, + "step": 1208 + }, + { + "epoch": 1.13, + "learning_rate": 1.4366016270918043e-05, + "loss": 0.4489, + "step": 1209 + }, + { + "epoch": 1.13, + "learning_rate": 1.4356961053097334e-05, + "loss": 0.4647, + "step": 1210 + }, + { + "epoch": 1.13, + "learning_rate": 1.4347901423458614e-05, + "loss": 0.4873, + "step": 1211 + }, + { + "epoch": 1.13, + "learning_rate": 1.4338837391175582e-05, + "loss": 0.4678, + "step": 1212 + }, + { + "epoch": 1.13, + "learning_rate": 1.4329768965426393e-05, + "loss": 0.4957, + "step": 1213 + }, + { + "epoch": 1.13, + "learning_rate": 1.4320696155393651e-05, + "loss": 0.4935, + "step": 1214 + }, + { + "epoch": 1.13, + "learning_rate": 1.4311618970264394e-05, + "loss": 0.4962, + "step": 1215 + }, + { + "epoch": 1.13, + "learning_rate": 1.4302537419230098e-05, + "loss": 0.5225, + "step": 1216 + }, + { + "epoch": 1.13, + "learning_rate": 1.4293451511486658e-05, + "loss": 0.4867, + "step": 1217 + }, + { + "epoch": 1.13, + "learning_rate": 1.4284361256234377e-05, + "loss": 0.4963, + "step": 1218 + }, + { + "epoch": 1.14, + "learning_rate": 1.427526666267796e-05, + "loss": 0.4858, + "step": 1219 + }, + { + "epoch": 1.14, + "learning_rate": 1.4266167740026515e-05, + "loss": 0.495, + "step": 1220 + }, + { + "epoch": 1.14, + "learning_rate": 1.4257064497493518e-05, + "loss": 0.4921, + "step": 1221 + }, + { + "epoch": 1.14, + "learning_rate": 1.424795694429683e-05, + "loss": 0.4813, + "step": 1222 + }, + { + "epoch": 1.14, + "learning_rate": 1.4238845089658678e-05, + "loss": 0.49, + "step": 1223 + }, + { + "epoch": 1.14, + "learning_rate": 1.4229728942805636e-05, + "loss": 0.5221, + "step": 1224 + }, + { + "epoch": 1.14, + "learning_rate": 1.4220608512968627e-05, + "loss": 0.5059, + "step": 1225 + }, + { + "epoch": 1.14, + "learning_rate": 1.421148380938292e-05, + "loss": 0.5135, + "step": 1226 + }, + { + "epoch": 1.14, + "learning_rate": 1.4202354841288101e-05, + "loss": 0.5094, + "step": 1227 + }, + { + "epoch": 1.14, + "learning_rate": 1.4193221617928076e-05, + "loss": 0.5106, + "step": 1228 + }, + { + "epoch": 1.14, + "learning_rate": 1.4184084148551063e-05, + "loss": 0.4895, + "step": 1229 + }, + { + "epoch": 1.15, + "learning_rate": 1.4174942442409583e-05, + "loss": 0.4978, + "step": 1230 + }, + { + "epoch": 1.15, + "learning_rate": 1.416579650876043e-05, + "loss": 0.5242, + "step": 1231 + }, + { + "epoch": 1.15, + "learning_rate": 1.4156646356864703e-05, + "loss": 0.4933, + "step": 1232 + }, + { + "epoch": 1.15, + "learning_rate": 1.4147491995987752e-05, + "loss": 0.5177, + "step": 1233 + }, + { + "epoch": 1.15, + "learning_rate": 1.41383334353992e-05, + "loss": 0.5074, + "step": 1234 + }, + { + "epoch": 1.15, + "learning_rate": 1.4129170684372924e-05, + "loss": 0.4917, + "step": 1235 + }, + { + "epoch": 1.15, + "learning_rate": 1.4120003752187035e-05, + "loss": 0.4647, + "step": 1236 + }, + { + "epoch": 1.15, + "learning_rate": 1.4110832648123885e-05, + "loss": 0.4911, + "step": 1237 + }, + { + "epoch": 1.15, + "learning_rate": 1.4101657381470046e-05, + "loss": 0.481, + "step": 1238 + }, + { + "epoch": 1.15, + "learning_rate": 1.4092477961516306e-05, + "loss": 0.4836, + "step": 1239 + }, + { + "epoch": 1.16, + "learning_rate": 1.4083294397557668e-05, + "loss": 0.489, + "step": 1240 + }, + { + "epoch": 1.16, + "learning_rate": 1.4074106698893313e-05, + "loss": 0.4973, + "step": 1241 + }, + { + "epoch": 1.16, + "learning_rate": 1.4064914874826626e-05, + "loss": 0.4813, + "step": 1242 + }, + { + "epoch": 1.16, + "learning_rate": 1.4055718934665157e-05, + "loss": 0.4723, + "step": 1243 + }, + { + "epoch": 1.16, + "learning_rate": 1.404651888772063e-05, + "loss": 0.4998, + "step": 1244 + }, + { + "epoch": 1.16, + "learning_rate": 1.403731474330893e-05, + "loss": 0.4856, + "step": 1245 + }, + { + "epoch": 1.16, + "learning_rate": 1.4028106510750083e-05, + "loss": 0.4935, + "step": 1246 + }, + { + "epoch": 1.16, + "learning_rate": 1.4018894199368265e-05, + "loss": 0.4989, + "step": 1247 + }, + { + "epoch": 1.16, + "learning_rate": 1.4009677818491767e-05, + "loss": 0.5096, + "step": 1248 + }, + { + "epoch": 1.16, + "learning_rate": 1.4000457377453018e-05, + "loss": 0.4878, + "step": 1249 + }, + { + "epoch": 1.16, + "learning_rate": 1.3991232885588549e-05, + "loss": 0.467, + "step": 1250 + }, + { + "epoch": 1.17, + "learning_rate": 1.3982004352238992e-05, + "loss": 0.4893, + "step": 1251 + }, + { + "epoch": 1.17, + "learning_rate": 1.3972771786749074e-05, + "loss": 0.4618, + "step": 1252 + }, + { + "epoch": 1.17, + "learning_rate": 1.3963535198467609e-05, + "loss": 0.4934, + "step": 1253 + }, + { + "epoch": 1.17, + "learning_rate": 1.395429459674747e-05, + "loss": 0.5043, + "step": 1254 + }, + { + "epoch": 1.17, + "learning_rate": 1.3945049990945614e-05, + "loss": 0.4924, + "step": 1255 + }, + { + "epoch": 1.17, + "learning_rate": 1.3935801390423036e-05, + "loss": 0.4742, + "step": 1256 + }, + { + "epoch": 1.17, + "learning_rate": 1.3926548804544788e-05, + "loss": 0.478, + "step": 1257 + }, + { + "epoch": 1.17, + "learning_rate": 1.3917292242679947e-05, + "loss": 0.4906, + "step": 1258 + }, + { + "epoch": 1.17, + "learning_rate": 1.3908031714201621e-05, + "loss": 0.5029, + "step": 1259 + }, + { + "epoch": 1.17, + "learning_rate": 1.3898767228486937e-05, + "loss": 0.4541, + "step": 1260 + }, + { + "epoch": 1.17, + "learning_rate": 1.3889498794917027e-05, + "loss": 0.4891, + "step": 1261 + }, + { + "epoch": 1.18, + "learning_rate": 1.3880226422877017e-05, + "loss": 0.4978, + "step": 1262 + }, + { + "epoch": 1.18, + "learning_rate": 1.3870950121756029e-05, + "loss": 0.4908, + "step": 1263 + }, + { + "epoch": 1.18, + "learning_rate": 1.386166990094715e-05, + "loss": 0.4935, + "step": 1264 + }, + { + "epoch": 1.18, + "learning_rate": 1.3852385769847453e-05, + "loss": 0.4905, + "step": 1265 + }, + { + "epoch": 1.18, + "learning_rate": 1.384309773785796e-05, + "loss": 0.4812, + "step": 1266 + }, + { + "epoch": 1.18, + "learning_rate": 1.3833805814383645e-05, + "loss": 0.5062, + "step": 1267 + }, + { + "epoch": 1.18, + "learning_rate": 1.3824510008833427e-05, + "loss": 0.5044, + "step": 1268 + }, + { + "epoch": 1.18, + "learning_rate": 1.3815210330620143e-05, + "loss": 0.5103, + "step": 1269 + }, + { + "epoch": 1.18, + "learning_rate": 1.3805906789160565e-05, + "loss": 0.5051, + "step": 1270 + }, + { + "epoch": 1.18, + "learning_rate": 1.3796599393875374e-05, + "loss": 0.4669, + "step": 1271 + }, + { + "epoch": 1.18, + "learning_rate": 1.3787288154189146e-05, + "loss": 0.4707, + "step": 1272 + }, + { + "epoch": 1.19, + "learning_rate": 1.3777973079530362e-05, + "loss": 0.4818, + "step": 1273 + }, + { + "epoch": 1.19, + "learning_rate": 1.3768654179331376e-05, + "loss": 0.4866, + "step": 1274 + }, + { + "epoch": 1.19, + "learning_rate": 1.3759331463028416e-05, + "loss": 0.476, + "step": 1275 + }, + { + "epoch": 1.19, + "learning_rate": 1.3750004940061581e-05, + "loss": 0.4725, + "step": 1276 + }, + { + "epoch": 1.19, + "learning_rate": 1.3740674619874822e-05, + "loss": 0.5076, + "step": 1277 + }, + { + "epoch": 1.19, + "learning_rate": 1.3731340511915932e-05, + "loss": 0.4778, + "step": 1278 + }, + { + "epoch": 1.19, + "learning_rate": 1.3722002625636542e-05, + "loss": 0.5114, + "step": 1279 + }, + { + "epoch": 1.19, + "learning_rate": 1.3712660970492108e-05, + "loss": 0.4888, + "step": 1280 + }, + { + "epoch": 1.19, + "learning_rate": 1.3703315555941904e-05, + "loss": 0.4927, + "step": 1281 + }, + { + "epoch": 1.19, + "learning_rate": 1.3693966391449006e-05, + "loss": 0.4753, + "step": 1282 + }, + { + "epoch": 1.2, + "learning_rate": 1.3684613486480292e-05, + "loss": 0.5122, + "step": 1283 + }, + { + "epoch": 1.2, + "learning_rate": 1.3675256850506428e-05, + "loss": 0.5038, + "step": 1284 + }, + { + "epoch": 1.2, + "learning_rate": 1.3665896493001854e-05, + "loss": 0.4924, + "step": 1285 + }, + { + "epoch": 1.2, + "learning_rate": 1.3656532423444779e-05, + "loss": 0.4735, + "step": 1286 + }, + { + "epoch": 1.2, + "learning_rate": 1.3647164651317178e-05, + "loss": 0.4985, + "step": 1287 + }, + { + "epoch": 1.2, + "learning_rate": 1.3637793186104764e-05, + "loss": 0.4851, + "step": 1288 + }, + { + "epoch": 1.2, + "learning_rate": 1.3628418037296998e-05, + "loss": 0.4928, + "step": 1289 + }, + { + "epoch": 1.2, + "learning_rate": 1.3619039214387066e-05, + "loss": 0.4833, + "step": 1290 + }, + { + "epoch": 1.2, + "learning_rate": 1.3609656726871878e-05, + "loss": 0.512, + "step": 1291 + }, + { + "epoch": 1.2, + "learning_rate": 1.3600270584252052e-05, + "loss": 0.489, + "step": 1292 + }, + { + "epoch": 1.2, + "learning_rate": 1.3590880796031909e-05, + "loss": 0.4731, + "step": 1293 + }, + { + "epoch": 1.21, + "learning_rate": 1.3581487371719457e-05, + "loss": 0.5111, + "step": 1294 + }, + { + "epoch": 1.21, + "learning_rate": 1.3572090320826396e-05, + "loss": 0.4879, + "step": 1295 + }, + { + "epoch": 1.21, + "learning_rate": 1.356268965286809e-05, + "loss": 0.5239, + "step": 1296 + }, + { + "epoch": 1.21, + "learning_rate": 1.3553285377363563e-05, + "loss": 0.4916, + "step": 1297 + }, + { + "epoch": 1.21, + "learning_rate": 1.35438775038355e-05, + "loss": 0.4872, + "step": 1298 + }, + { + "epoch": 1.21, + "learning_rate": 1.3534466041810227e-05, + "loss": 0.4785, + "step": 1299 + }, + { + "epoch": 1.21, + "learning_rate": 1.35250510008177e-05, + "loss": 0.5006, + "step": 1300 + }, + { + "epoch": 1.21, + "learning_rate": 1.35156323903915e-05, + "loss": 0.4897, + "step": 1301 + }, + { + "epoch": 1.21, + "learning_rate": 1.3506210220068828e-05, + "loss": 0.4927, + "step": 1302 + }, + { + "epoch": 1.21, + "learning_rate": 1.349678449939048e-05, + "loss": 0.4778, + "step": 1303 + }, + { + "epoch": 1.21, + "learning_rate": 1.348735523790086e-05, + "loss": 0.4869, + "step": 1304 + }, + { + "epoch": 1.22, + "learning_rate": 1.3477922445147944e-05, + "loss": 0.4662, + "step": 1305 + }, + { + "epoch": 1.22, + "learning_rate": 1.3468486130683294e-05, + "loss": 0.5021, + "step": 1306 + }, + { + "epoch": 1.22, + "learning_rate": 1.345904630406203e-05, + "loss": 0.4623, + "step": 1307 + }, + { + "epoch": 1.22, + "learning_rate": 1.3449602974842832e-05, + "loss": 0.4789, + "step": 1308 + }, + { + "epoch": 1.22, + "learning_rate": 1.344015615258793e-05, + "loss": 0.491, + "step": 1309 + }, + { + "epoch": 1.22, + "learning_rate": 1.3430705846863089e-05, + "loss": 0.4835, + "step": 1310 + }, + { + "epoch": 1.22, + "learning_rate": 1.3421252067237594e-05, + "loss": 0.5095, + "step": 1311 + }, + { + "epoch": 1.22, + "learning_rate": 1.3411794823284259e-05, + "loss": 0.4828, + "step": 1312 + }, + { + "epoch": 1.22, + "learning_rate": 1.3402334124579399e-05, + "loss": 0.4797, + "step": 1313 + }, + { + "epoch": 1.22, + "learning_rate": 1.3392869980702829e-05, + "loss": 0.499, + "step": 1314 + }, + { + "epoch": 1.22, + "learning_rate": 1.338340240123785e-05, + "loss": 0.5011, + "step": 1315 + }, + { + "epoch": 1.23, + "learning_rate": 1.3373931395771251e-05, + "loss": 0.5015, + "step": 1316 + }, + { + "epoch": 1.23, + "learning_rate": 1.3364456973893279e-05, + "loss": 0.485, + "step": 1317 + }, + { + "epoch": 1.23, + "learning_rate": 1.3354979145197643e-05, + "loss": 0.5134, + "step": 1318 + }, + { + "epoch": 1.23, + "learning_rate": 1.3345497919281506e-05, + "loss": 0.4833, + "step": 1319 + }, + { + "epoch": 1.23, + "learning_rate": 1.3336013305745471e-05, + "loss": 0.4957, + "step": 1320 + }, + { + "epoch": 1.23, + "learning_rate": 1.3326525314193569e-05, + "loss": 0.4855, + "step": 1321 + }, + { + "epoch": 1.23, + "learning_rate": 1.3317033954233246e-05, + "loss": 0.4852, + "step": 1322 + }, + { + "epoch": 1.23, + "learning_rate": 1.3307539235475369e-05, + "loss": 0.4846, + "step": 1323 + }, + { + "epoch": 1.23, + "learning_rate": 1.3298041167534202e-05, + "loss": 0.533, + "step": 1324 + }, + { + "epoch": 1.23, + "learning_rate": 1.3288539760027393e-05, + "loss": 0.4965, + "step": 1325 + }, + { + "epoch": 1.24, + "learning_rate": 1.3279035022575988e-05, + "loss": 0.4918, + "step": 1326 + }, + { + "epoch": 1.24, + "learning_rate": 1.326952696480439e-05, + "loss": 0.5131, + "step": 1327 + }, + { + "epoch": 1.24, + "learning_rate": 1.3260015596340368e-05, + "loss": 0.4978, + "step": 1328 + }, + { + "epoch": 1.24, + "learning_rate": 1.3250500926815046e-05, + "loss": 0.4924, + "step": 1329 + }, + { + "epoch": 1.24, + "learning_rate": 1.3240982965862893e-05, + "loss": 0.4711, + "step": 1330 + }, + { + "epoch": 1.24, + "learning_rate": 1.3231461723121699e-05, + "loss": 0.4534, + "step": 1331 + }, + { + "epoch": 1.24, + "learning_rate": 1.3221937208232593e-05, + "loss": 0.4973, + "step": 1332 + }, + { + "epoch": 1.24, + "learning_rate": 1.3212409430840012e-05, + "loss": 0.5017, + "step": 1333 + }, + { + "epoch": 1.24, + "learning_rate": 1.3202878400591683e-05, + "loss": 0.4895, + "step": 1334 + }, + { + "epoch": 1.24, + "learning_rate": 1.3193344127138647e-05, + "loss": 0.4862, + "step": 1335 + }, + { + "epoch": 1.24, + "learning_rate": 1.3183806620135218e-05, + "loss": 0.5126, + "step": 1336 + }, + { + "epoch": 1.25, + "learning_rate": 1.3174265889238984e-05, + "loss": 0.4791, + "step": 1337 + }, + { + "epoch": 1.25, + "learning_rate": 1.3164721944110802e-05, + "loss": 0.4779, + "step": 1338 + }, + { + "epoch": 1.25, + "learning_rate": 1.3155174794414787e-05, + "loss": 0.4758, + "step": 1339 + }, + { + "epoch": 1.25, + "learning_rate": 1.3145624449818284e-05, + "loss": 0.4902, + "step": 1340 + }, + { + "epoch": 1.25, + "learning_rate": 1.3136070919991885e-05, + "loss": 0.494, + "step": 1341 + }, + { + "epoch": 1.25, + "learning_rate": 1.3126514214609408e-05, + "loss": 0.4714, + "step": 1342 + }, + { + "epoch": 1.25, + "learning_rate": 1.3116954343347882e-05, + "loss": 0.5135, + "step": 1343 + }, + { + "epoch": 1.25, + "learning_rate": 1.3107391315887544e-05, + "loss": 0.4691, + "step": 1344 + }, + { + "epoch": 1.25, + "learning_rate": 1.3097825141911824e-05, + "loss": 0.5005, + "step": 1345 + }, + { + "epoch": 1.25, + "learning_rate": 1.3088255831107344e-05, + "loss": 0.4875, + "step": 1346 + }, + { + "epoch": 1.25, + "learning_rate": 1.3078683393163894e-05, + "loss": 0.4838, + "step": 1347 + }, + { + "epoch": 1.26, + "learning_rate": 1.3069107837774437e-05, + "loss": 0.4904, + "step": 1348 + }, + { + "epoch": 1.26, + "learning_rate": 1.3059529174635095e-05, + "loss": 0.5078, + "step": 1349 + }, + { + "epoch": 1.26, + "learning_rate": 1.3049947413445125e-05, + "loss": 0.4717, + "step": 1350 + }, + { + "epoch": 1.26, + "learning_rate": 1.3040362563906932e-05, + "loss": 0.4794, + "step": 1351 + }, + { + "epoch": 1.26, + "learning_rate": 1.303077463572605e-05, + "loss": 0.47, + "step": 1352 + }, + { + "epoch": 1.26, + "learning_rate": 1.3021183638611117e-05, + "loss": 0.4835, + "step": 1353 + }, + { + "epoch": 1.26, + "learning_rate": 1.3011589582273891e-05, + "loss": 0.5216, + "step": 1354 + }, + { + "epoch": 1.26, + "learning_rate": 1.3001992476429224e-05, + "loss": 0.4905, + "step": 1355 + }, + { + "epoch": 1.26, + "learning_rate": 1.2992392330795058e-05, + "loss": 0.5037, + "step": 1356 + }, + { + "epoch": 1.26, + "learning_rate": 1.2982789155092407e-05, + "loss": 0.491, + "step": 1357 + }, + { + "epoch": 1.27, + "learning_rate": 1.2973182959045356e-05, + "loss": 0.485, + "step": 1358 + }, + { + "epoch": 1.27, + "learning_rate": 1.2963573752381056e-05, + "loss": 0.46, + "step": 1359 + }, + { + "epoch": 1.27, + "learning_rate": 1.295396154482969e-05, + "loss": 0.494, + "step": 1360 + }, + { + "epoch": 1.27, + "learning_rate": 1.2944346346124494e-05, + "loss": 0.4691, + "step": 1361 + }, + { + "epoch": 1.27, + "learning_rate": 1.293472816600173e-05, + "loss": 0.47, + "step": 1362 + }, + { + "epoch": 1.27, + "learning_rate": 1.292510701420068e-05, + "loss": 0.4835, + "step": 1363 + }, + { + "epoch": 1.27, + "learning_rate": 1.2915482900463622e-05, + "loss": 0.4851, + "step": 1364 + }, + { + "epoch": 1.27, + "learning_rate": 1.2905855834535852e-05, + "loss": 0.4626, + "step": 1365 + }, + { + "epoch": 1.27, + "learning_rate": 1.2896225826165647e-05, + "loss": 0.4751, + "step": 1366 + }, + { + "epoch": 1.27, + "learning_rate": 1.2886592885104259e-05, + "loss": 0.5051, + "step": 1367 + }, + { + "epoch": 1.27, + "learning_rate": 1.2876957021105916e-05, + "loss": 0.4995, + "step": 1368 + }, + { + "epoch": 1.28, + "learning_rate": 1.2867318243927802e-05, + "loss": 0.5056, + "step": 1369 + }, + { + "epoch": 1.28, + "learning_rate": 1.2857676563330058e-05, + "loss": 0.4857, + "step": 1370 + }, + { + "epoch": 1.28, + "learning_rate": 1.2848031989075754e-05, + "loss": 0.4828, + "step": 1371 + }, + { + "epoch": 1.28, + "learning_rate": 1.2838384530930899e-05, + "loss": 0.4839, + "step": 1372 + }, + { + "epoch": 1.28, + "learning_rate": 1.2828734198664416e-05, + "loss": 0.5013, + "step": 1373 + }, + { + "epoch": 1.28, + "learning_rate": 1.2819081002048143e-05, + "loss": 0.4854, + "step": 1374 + }, + { + "epoch": 1.28, + "learning_rate": 1.2809424950856815e-05, + "loss": 0.4952, + "step": 1375 + }, + { + "epoch": 1.28, + "learning_rate": 1.2799766054868066e-05, + "loss": 0.4984, + "step": 1376 + }, + { + "epoch": 1.28, + "learning_rate": 1.2790104323862394e-05, + "loss": 0.4789, + "step": 1377 + }, + { + "epoch": 1.28, + "learning_rate": 1.278043976762318e-05, + "loss": 0.5129, + "step": 1378 + }, + { + "epoch": 1.28, + "learning_rate": 1.277077239593667e-05, + "loss": 0.4839, + "step": 1379 + }, + { + "epoch": 1.29, + "learning_rate": 1.2761102218591945e-05, + "loss": 0.5, + "step": 1380 + }, + { + "epoch": 1.29, + "learning_rate": 1.275142924538094e-05, + "loss": 0.4877, + "step": 1381 + }, + { + "epoch": 1.29, + "learning_rate": 1.274175348609842e-05, + "loss": 0.4735, + "step": 1382 + }, + { + "epoch": 1.29, + "learning_rate": 1.2732074950541966e-05, + "loss": 0.4928, + "step": 1383 + }, + { + "epoch": 1.29, + "learning_rate": 1.2722393648511968e-05, + "loss": 0.4823, + "step": 1384 + }, + { + "epoch": 1.29, + "learning_rate": 1.2712709589811629e-05, + "loss": 0.4757, + "step": 1385 + }, + { + "epoch": 1.29, + "learning_rate": 1.2703022784246932e-05, + "loss": 0.4808, + "step": 1386 + }, + { + "epoch": 1.29, + "learning_rate": 1.269333324162665e-05, + "loss": 0.5009, + "step": 1387 + }, + { + "epoch": 1.29, + "learning_rate": 1.2683640971762316e-05, + "loss": 0.4938, + "step": 1388 + }, + { + "epoch": 1.29, + "learning_rate": 1.2673945984468241e-05, + "loss": 0.4921, + "step": 1389 + }, + { + "epoch": 1.29, + "learning_rate": 1.2664248289561472e-05, + "loss": 0.4828, + "step": 1390 + }, + { + "epoch": 1.3, + "learning_rate": 1.2654547896861804e-05, + "loss": 0.498, + "step": 1391 + }, + { + "epoch": 1.3, + "learning_rate": 1.264484481619177e-05, + "loss": 0.4797, + "step": 1392 + }, + { + "epoch": 1.3, + "learning_rate": 1.2635139057376611e-05, + "loss": 0.4833, + "step": 1393 + }, + { + "epoch": 1.3, + "learning_rate": 1.2625430630244288e-05, + "loss": 0.4727, + "step": 1394 + }, + { + "epoch": 1.3, + "learning_rate": 1.261571954462547e-05, + "loss": 0.5095, + "step": 1395 + }, + { + "epoch": 1.3, + "learning_rate": 1.260600581035351e-05, + "loss": 0.5083, + "step": 1396 + }, + { + "epoch": 1.3, + "learning_rate": 1.259628943726444e-05, + "loss": 0.4708, + "step": 1397 + }, + { + "epoch": 1.3, + "learning_rate": 1.2586570435196972e-05, + "loss": 0.4983, + "step": 1398 + }, + { + "epoch": 1.3, + "learning_rate": 1.2576848813992475e-05, + "loss": 0.5004, + "step": 1399 + }, + { + "epoch": 1.3, + "learning_rate": 1.2567124583494972e-05, + "loss": 0.476, + "step": 1400 + }, + { + "epoch": 1.31, + "learning_rate": 1.2557397753551128e-05, + "loss": 0.4565, + "step": 1401 + }, + { + "epoch": 1.31, + "learning_rate": 1.2547668334010239e-05, + "loss": 0.4856, + "step": 1402 + }, + { + "epoch": 1.31, + "learning_rate": 1.2537936334724225e-05, + "loss": 0.4966, + "step": 1403 + }, + { + "epoch": 1.31, + "learning_rate": 1.2528201765547618e-05, + "loss": 0.495, + "step": 1404 + }, + { + "epoch": 1.31, + "learning_rate": 1.2518464636337556e-05, + "loss": 0.4706, + "step": 1405 + }, + { + "epoch": 1.31, + "learning_rate": 1.2508724956953755e-05, + "loss": 0.4923, + "step": 1406 + }, + { + "epoch": 1.31, + "learning_rate": 1.2498982737258532e-05, + "loss": 0.4838, + "step": 1407 + }, + { + "epoch": 1.31, + "learning_rate": 1.248923798711676e-05, + "loss": 0.4863, + "step": 1408 + }, + { + "epoch": 1.31, + "learning_rate": 1.247949071639589e-05, + "loss": 0.5002, + "step": 1409 + }, + { + "epoch": 1.31, + "learning_rate": 1.2469740934965912e-05, + "loss": 0.4768, + "step": 1410 + }, + { + "epoch": 1.31, + "learning_rate": 1.2459988652699364e-05, + "loss": 0.4869, + "step": 1411 + }, + { + "epoch": 1.32, + "learning_rate": 1.245023387947132e-05, + "loss": 0.5057, + "step": 1412 + }, + { + "epoch": 1.32, + "learning_rate": 1.2440476625159363e-05, + "loss": 0.4871, + "step": 1413 + }, + { + "epoch": 1.32, + "learning_rate": 1.2430716899643605e-05, + "loss": 0.4705, + "step": 1414 + }, + { + "epoch": 1.32, + "learning_rate": 1.2420954712806654e-05, + "loss": 0.4816, + "step": 1415 + }, + { + "epoch": 1.32, + "learning_rate": 1.24111900745336e-05, + "loss": 0.4895, + "step": 1416 + }, + { + "epoch": 1.32, + "learning_rate": 1.2401422994712035e-05, + "loss": 0.4785, + "step": 1417 + }, + { + "epoch": 1.32, + "learning_rate": 1.2391653483232007e-05, + "loss": 0.4963, + "step": 1418 + }, + { + "epoch": 1.32, + "learning_rate": 1.238188154998603e-05, + "loss": 0.4976, + "step": 1419 + }, + { + "epoch": 1.32, + "learning_rate": 1.2372107204869078e-05, + "loss": 0.4712, + "step": 1420 + }, + { + "epoch": 1.32, + "learning_rate": 1.2362330457778557e-05, + "loss": 0.474, + "step": 1421 + }, + { + "epoch": 1.32, + "learning_rate": 1.2352551318614315e-05, + "loss": 0.506, + "step": 1422 + }, + { + "epoch": 1.33, + "learning_rate": 1.2342769797278608e-05, + "loss": 0.4762, + "step": 1423 + }, + { + "epoch": 1.33, + "learning_rate": 1.233298590367612e-05, + "loss": 0.5038, + "step": 1424 + }, + { + "epoch": 1.33, + "learning_rate": 1.2323199647713928e-05, + "loss": 0.5111, + "step": 1425 + }, + { + "epoch": 1.33, + "learning_rate": 1.2313411039301504e-05, + "loss": 0.5217, + "step": 1426 + }, + { + "epoch": 1.33, + "learning_rate": 1.23036200883507e-05, + "loss": 0.48, + "step": 1427 + }, + { + "epoch": 1.33, + "learning_rate": 1.2293826804775741e-05, + "loss": 0.49, + "step": 1428 + }, + { + "epoch": 1.33, + "learning_rate": 1.2284031198493217e-05, + "loss": 0.474, + "step": 1429 + }, + { + "epoch": 1.33, + "learning_rate": 1.2274233279422068e-05, + "loss": 0.4968, + "step": 1430 + }, + { + "epoch": 1.33, + "learning_rate": 1.2264433057483568e-05, + "loss": 0.4755, + "step": 1431 + }, + { + "epoch": 1.33, + "learning_rate": 1.225463054260134e-05, + "loss": 0.4629, + "step": 1432 + }, + { + "epoch": 1.33, + "learning_rate": 1.224482574470131e-05, + "loss": 0.4791, + "step": 1433 + }, + { + "epoch": 1.34, + "learning_rate": 1.2235018673711729e-05, + "loss": 0.4832, + "step": 1434 + }, + { + "epoch": 1.34, + "learning_rate": 1.2225209339563144e-05, + "loss": 0.4814, + "step": 1435 + }, + { + "epoch": 1.34, + "learning_rate": 1.2215397752188398e-05, + "loss": 0.4763, + "step": 1436 + }, + { + "epoch": 1.34, + "learning_rate": 1.2205583921522611e-05, + "loss": 0.4855, + "step": 1437 + }, + { + "epoch": 1.34, + "learning_rate": 1.2195767857503173e-05, + "loss": 0.499, + "step": 1438 + }, + { + "epoch": 1.34, + "learning_rate": 1.2185949570069744e-05, + "loss": 0.4911, + "step": 1439 + }, + { + "epoch": 1.34, + "learning_rate": 1.2176129069164226e-05, + "loss": 0.4996, + "step": 1440 + }, + { + "epoch": 1.34, + "learning_rate": 1.2166306364730766e-05, + "loss": 0.5021, + "step": 1441 + }, + { + "epoch": 1.34, + "learning_rate": 1.2156481466715748e-05, + "loss": 0.4749, + "step": 1442 + }, + { + "epoch": 1.34, + "learning_rate": 1.2146654385067764e-05, + "loss": 0.4972, + "step": 1443 + }, + { + "epoch": 1.35, + "learning_rate": 1.213682512973763e-05, + "loss": 0.4551, + "step": 1444 + }, + { + "epoch": 1.35, + "learning_rate": 1.2126993710678361e-05, + "loss": 0.4956, + "step": 1445 + }, + { + "epoch": 1.35, + "learning_rate": 1.2117160137845151e-05, + "loss": 0.5038, + "step": 1446 + }, + { + "epoch": 1.35, + "learning_rate": 1.210732442119539e-05, + "loss": 0.47, + "step": 1447 + }, + { + "epoch": 1.35, + "learning_rate": 1.2097486570688635e-05, + "loss": 0.4996, + "step": 1448 + }, + { + "epoch": 1.35, + "learning_rate": 1.2087646596286594e-05, + "loss": 0.5153, + "step": 1449 + }, + { + "epoch": 1.35, + "learning_rate": 1.2077804507953137e-05, + "loss": 0.4944, + "step": 1450 + }, + { + "epoch": 1.35, + "learning_rate": 1.2067960315654272e-05, + "loss": 0.4885, + "step": 1451 + }, + { + "epoch": 1.35, + "learning_rate": 1.2058114029358134e-05, + "loss": 0.5168, + "step": 1452 + }, + { + "epoch": 1.35, + "learning_rate": 1.2048265659034981e-05, + "loss": 0.507, + "step": 1453 + }, + { + "epoch": 1.35, + "learning_rate": 1.2038415214657179e-05, + "loss": 0.485, + "step": 1454 + }, + { + "epoch": 1.36, + "learning_rate": 1.2028562706199201e-05, + "loss": 0.5116, + "step": 1455 + }, + { + "epoch": 1.36, + "learning_rate": 1.2018708143637598e-05, + "loss": 0.472, + "step": 1456 + }, + { + "epoch": 1.36, + "learning_rate": 1.2008851536951015e-05, + "loss": 0.4652, + "step": 1457 + }, + { + "epoch": 1.36, + "learning_rate": 1.1998992896120154e-05, + "loss": 0.5034, + "step": 1458 + }, + { + "epoch": 1.36, + "learning_rate": 1.1989132231127784e-05, + "loss": 0.4908, + "step": 1459 + }, + { + "epoch": 1.36, + "learning_rate": 1.1979269551958723e-05, + "loss": 0.4746, + "step": 1460 + }, + { + "epoch": 1.36, + "learning_rate": 1.1969404868599828e-05, + "loss": 0.5114, + "step": 1461 + }, + { + "epoch": 1.36, + "learning_rate": 1.1959538191039986e-05, + "loss": 0.4832, + "step": 1462 + }, + { + "epoch": 1.36, + "learning_rate": 1.1949669529270098e-05, + "loss": 0.4891, + "step": 1463 + }, + { + "epoch": 1.36, + "learning_rate": 1.193979889328308e-05, + "loss": 0.4984, + "step": 1464 + }, + { + "epoch": 1.36, + "learning_rate": 1.1929926293073852e-05, + "loss": 0.495, + "step": 1465 + }, + { + "epoch": 1.37, + "learning_rate": 1.1920051738639309e-05, + "loss": 0.4854, + "step": 1466 + }, + { + "epoch": 1.37, + "learning_rate": 1.1910175239978334e-05, + "loss": 0.52, + "step": 1467 + }, + { + "epoch": 1.37, + "learning_rate": 1.190029680709178e-05, + "loss": 0.4906, + "step": 1468 + }, + { + "epoch": 1.37, + "learning_rate": 1.1890416449982451e-05, + "loss": 0.4823, + "step": 1469 + }, + { + "epoch": 1.37, + "learning_rate": 1.1880534178655112e-05, + "loss": 0.4786, + "step": 1470 + }, + { + "epoch": 1.37, + "learning_rate": 1.187065000311645e-05, + "loss": 0.5122, + "step": 1471 + }, + { + "epoch": 1.37, + "learning_rate": 1.1860763933375097e-05, + "loss": 0.467, + "step": 1472 + }, + { + "epoch": 1.37, + "learning_rate": 1.1850875979441585e-05, + "loss": 0.5143, + "step": 1473 + }, + { + "epoch": 1.37, + "learning_rate": 1.1840986151328371e-05, + "loss": 0.4989, + "step": 1474 + }, + { + "epoch": 1.37, + "learning_rate": 1.1831094459049803e-05, + "loss": 0.4918, + "step": 1475 + }, + { + "epoch": 1.37, + "learning_rate": 1.1821200912622111e-05, + "loss": 0.4979, + "step": 1476 + }, + { + "epoch": 1.38, + "learning_rate": 1.1811305522063409e-05, + "loss": 0.4553, + "step": 1477 + }, + { + "epoch": 1.38, + "learning_rate": 1.1801408297393682e-05, + "loss": 0.4912, + "step": 1478 + }, + { + "epoch": 1.38, + "learning_rate": 1.1791509248634758e-05, + "loss": 0.4713, + "step": 1479 + }, + { + "epoch": 1.38, + "learning_rate": 1.1781608385810329e-05, + "loss": 0.5017, + "step": 1480 + }, + { + "epoch": 1.38, + "learning_rate": 1.1771705718945912e-05, + "loss": 0.4841, + "step": 1481 + }, + { + "epoch": 1.38, + "learning_rate": 1.1761801258068856e-05, + "loss": 0.4926, + "step": 1482 + }, + { + "epoch": 1.38, + "learning_rate": 1.1751895013208325e-05, + "loss": 0.5109, + "step": 1483 + }, + { + "epoch": 1.38, + "learning_rate": 1.1741986994395291e-05, + "loss": 0.4686, + "step": 1484 + }, + { + "epoch": 1.38, + "learning_rate": 1.1732077211662523e-05, + "loss": 0.5092, + "step": 1485 + }, + { + "epoch": 1.38, + "learning_rate": 1.1722165675044568e-05, + "loss": 0.4893, + "step": 1486 + }, + { + "epoch": 1.39, + "learning_rate": 1.171225239457776e-05, + "loss": 0.4739, + "step": 1487 + }, + { + "epoch": 1.39, + "learning_rate": 1.1702337380300196e-05, + "loss": 0.4917, + "step": 1488 + }, + { + "epoch": 1.39, + "learning_rate": 1.1692420642251726e-05, + "loss": 0.4932, + "step": 1489 + }, + { + "epoch": 1.39, + "learning_rate": 1.168250219047394e-05, + "loss": 0.5057, + "step": 1490 + }, + { + "epoch": 1.39, + "learning_rate": 1.1672582035010174e-05, + "loss": 0.4896, + "step": 1491 + }, + { + "epoch": 1.39, + "learning_rate": 1.1662660185905485e-05, + "loss": 0.4792, + "step": 1492 + }, + { + "epoch": 1.39, + "learning_rate": 1.1652736653206641e-05, + "loss": 0.4907, + "step": 1493 + }, + { + "epoch": 1.39, + "learning_rate": 1.1642811446962125e-05, + "loss": 0.5081, + "step": 1494 + }, + { + "epoch": 1.39, + "learning_rate": 1.1632884577222106e-05, + "loss": 0.4705, + "step": 1495 + }, + { + "epoch": 1.39, + "learning_rate": 1.1622956054038432e-05, + "loss": 0.4845, + "step": 1496 + }, + { + "epoch": 1.39, + "learning_rate": 1.1613025887464642e-05, + "loss": 0.4694, + "step": 1497 + }, + { + "epoch": 1.4, + "learning_rate": 1.1603094087555928e-05, + "loss": 0.4822, + "step": 1498 + }, + { + "epoch": 1.4, + "learning_rate": 1.1593160664369132e-05, + "loss": 0.4781, + "step": 1499 + }, + { + "epoch": 1.4, + "learning_rate": 1.158322562796275e-05, + "loss": 0.4982, + "step": 1500 + }, + { + "epoch": 1.4, + "learning_rate": 1.1573288988396907e-05, + "loss": 0.4714, + "step": 1501 + }, + { + "epoch": 1.4, + "learning_rate": 1.1563350755733351e-05, + "loss": 0.4707, + "step": 1502 + }, + { + "epoch": 1.4, + "learning_rate": 1.1553410940035441e-05, + "loss": 0.5024, + "step": 1503 + }, + { + "epoch": 1.4, + "learning_rate": 1.1543469551368146e-05, + "loss": 0.4916, + "step": 1504 + }, + { + "epoch": 1.4, + "learning_rate": 1.153352659979802e-05, + "loss": 0.4703, + "step": 1505 + }, + { + "epoch": 1.4, + "learning_rate": 1.1523582095393201e-05, + "loss": 0.4863, + "step": 1506 + }, + { + "epoch": 1.4, + "learning_rate": 1.1513636048223406e-05, + "loss": 0.4869, + "step": 1507 + }, + { + "epoch": 1.4, + "learning_rate": 1.1503688468359907e-05, + "loss": 0.4979, + "step": 1508 + }, + { + "epoch": 1.41, + "learning_rate": 1.1493739365875529e-05, + "loss": 0.5048, + "step": 1509 + }, + { + "epoch": 1.41, + "learning_rate": 1.1483788750844642e-05, + "loss": 0.5035, + "step": 1510 + }, + { + "epoch": 1.41, + "learning_rate": 1.1473836633343145e-05, + "loss": 0.4939, + "step": 1511 + }, + { + "epoch": 1.41, + "learning_rate": 1.1463883023448456e-05, + "loss": 0.4789, + "step": 1512 + }, + { + "epoch": 1.41, + "learning_rate": 1.1453927931239514e-05, + "loss": 0.4843, + "step": 1513 + }, + { + "epoch": 1.41, + "learning_rate": 1.1443971366796747e-05, + "loss": 0.4716, + "step": 1514 + }, + { + "epoch": 1.41, + "learning_rate": 1.143401334020208e-05, + "loss": 0.4998, + "step": 1515 + }, + { + "epoch": 1.41, + "learning_rate": 1.142405386153892e-05, + "loss": 0.5007, + "step": 1516 + }, + { + "epoch": 1.41, + "learning_rate": 1.1414092940892139e-05, + "loss": 0.4948, + "step": 1517 + }, + { + "epoch": 1.41, + "learning_rate": 1.1404130588348072e-05, + "loss": 0.5031, + "step": 1518 + }, + { + "epoch": 1.41, + "learning_rate": 1.1394166813994506e-05, + "loss": 0.5188, + "step": 1519 + }, + { + "epoch": 1.42, + "learning_rate": 1.1384201627920663e-05, + "loss": 0.4929, + "step": 1520 + }, + { + "epoch": 1.42, + "learning_rate": 1.1374235040217203e-05, + "loss": 0.4816, + "step": 1521 + }, + { + "epoch": 1.42, + "learning_rate": 1.1364267060976193e-05, + "loss": 0.4603, + "step": 1522 + }, + { + "epoch": 1.42, + "learning_rate": 1.1354297700291119e-05, + "loss": 0.4966, + "step": 1523 + }, + { + "epoch": 1.42, + "learning_rate": 1.134432696825686e-05, + "loss": 0.4963, + "step": 1524 + }, + { + "epoch": 1.42, + "learning_rate": 1.133435487496969e-05, + "loss": 0.4874, + "step": 1525 + }, + { + "epoch": 1.42, + "learning_rate": 1.1324381430527254e-05, + "loss": 0.4847, + "step": 1526 + }, + { + "epoch": 1.42, + "learning_rate": 1.1314406645028569e-05, + "loss": 0.5016, + "step": 1527 + }, + { + "epoch": 1.42, + "learning_rate": 1.1304430528574011e-05, + "loss": 0.4818, + "step": 1528 + }, + { + "epoch": 1.42, + "learning_rate": 1.1294453091265301e-05, + "loss": 0.4952, + "step": 1529 + }, + { + "epoch": 1.43, + "learning_rate": 1.1284474343205496e-05, + "loss": 0.5011, + "step": 1530 + }, + { + "epoch": 1.43, + "learning_rate": 1.127449429449899e-05, + "loss": 0.483, + "step": 1531 + }, + { + "epoch": 1.43, + "learning_rate": 1.1264512955251479e-05, + "loss": 0.4998, + "step": 1532 + }, + { + "epoch": 1.43, + "learning_rate": 1.125453033556998e-05, + "loss": 0.4973, + "step": 1533 + }, + { + "epoch": 1.43, + "learning_rate": 1.1244546445562794e-05, + "loss": 0.4867, + "step": 1534 + }, + { + "epoch": 1.43, + "learning_rate": 1.123456129533952e-05, + "loss": 0.4885, + "step": 1535 + }, + { + "epoch": 1.43, + "learning_rate": 1.122457489501103e-05, + "loss": 0.4813, + "step": 1536 + }, + { + "epoch": 1.43, + "learning_rate": 1.121458725468945e-05, + "loss": 0.4854, + "step": 1537 + }, + { + "epoch": 1.43, + "learning_rate": 1.1204598384488181e-05, + "loss": 0.4735, + "step": 1538 + }, + { + "epoch": 1.43, + "learning_rate": 1.1194608294521853e-05, + "loss": 0.4694, + "step": 1539 + }, + { + "epoch": 1.43, + "learning_rate": 1.1184616994906343e-05, + "loss": 0.5106, + "step": 1540 + }, + { + "epoch": 1.44, + "learning_rate": 1.1174624495758743e-05, + "loss": 0.4802, + "step": 1541 + }, + { + "epoch": 1.44, + "learning_rate": 1.1164630807197366e-05, + "loss": 0.493, + "step": 1542 + }, + { + "epoch": 1.44, + "learning_rate": 1.1154635939341728e-05, + "loss": 0.4976, + "step": 1543 + }, + { + "epoch": 1.44, + "learning_rate": 1.1144639902312537e-05, + "loss": 0.4624, + "step": 1544 + }, + { + "epoch": 1.44, + "learning_rate": 1.1134642706231687e-05, + "loss": 0.4915, + "step": 1545 + }, + { + "epoch": 1.44, + "learning_rate": 1.1124644361222246e-05, + "loss": 0.4904, + "step": 1546 + }, + { + "epoch": 1.44, + "learning_rate": 1.1114644877408446e-05, + "loss": 0.5291, + "step": 1547 + }, + { + "epoch": 1.44, + "learning_rate": 1.1104644264915667e-05, + "loss": 0.4673, + "step": 1548 + }, + { + "epoch": 1.44, + "learning_rate": 1.1094642533870439e-05, + "loss": 0.476, + "step": 1549 + }, + { + "epoch": 1.44, + "learning_rate": 1.1084639694400421e-05, + "loss": 0.5038, + "step": 1550 + }, + { + "epoch": 1.44, + "learning_rate": 1.107463575663439e-05, + "loss": 0.4945, + "step": 1551 + }, + { + "epoch": 1.45, + "learning_rate": 1.1064630730702248e-05, + "loss": 0.4857, + "step": 1552 + }, + { + "epoch": 1.45, + "learning_rate": 1.1054624626734985e-05, + "loss": 0.4987, + "step": 1553 + }, + { + "epoch": 1.45, + "learning_rate": 1.1044617454864693e-05, + "loss": 0.4945, + "step": 1554 + }, + { + "epoch": 1.45, + "learning_rate": 1.1034609225224533e-05, + "loss": 0.4873, + "step": 1555 + }, + { + "epoch": 1.45, + "learning_rate": 1.1024599947948749e-05, + "loss": 0.5074, + "step": 1556 + }, + { + "epoch": 1.45, + "learning_rate": 1.1014589633172643e-05, + "loss": 0.4764, + "step": 1557 + }, + { + "epoch": 1.45, + "learning_rate": 1.1004578291032566e-05, + "loss": 0.494, + "step": 1558 + }, + { + "epoch": 1.45, + "learning_rate": 1.0994565931665907e-05, + "loss": 0.4706, + "step": 1559 + }, + { + "epoch": 1.45, + "learning_rate": 1.0984552565211088e-05, + "loss": 0.4891, + "step": 1560 + }, + { + "epoch": 1.45, + "learning_rate": 1.0974538201807552e-05, + "loss": 0.499, + "step": 1561 + }, + { + "epoch": 1.46, + "learning_rate": 1.0964522851595748e-05, + "loss": 0.4938, + "step": 1562 + }, + { + "epoch": 1.46, + "learning_rate": 1.0954506524717125e-05, + "loss": 0.4904, + "step": 1563 + }, + { + "epoch": 1.46, + "learning_rate": 1.0944489231314127e-05, + "loss": 0.4677, + "step": 1564 + }, + { + "epoch": 1.46, + "learning_rate": 1.0934470981530163e-05, + "loss": 0.4813, + "step": 1565 + }, + { + "epoch": 1.46, + "learning_rate": 1.0924451785509627e-05, + "loss": 0.4652, + "step": 1566 + }, + { + "epoch": 1.46, + "learning_rate": 1.0914431653397856e-05, + "loss": 0.4718, + "step": 1567 + }, + { + "epoch": 1.46, + "learning_rate": 1.090441059534115e-05, + "loss": 0.4885, + "step": 1568 + }, + { + "epoch": 1.46, + "learning_rate": 1.0894388621486733e-05, + "loss": 0.4707, + "step": 1569 + }, + { + "epoch": 1.46, + "learning_rate": 1.0884365741982765e-05, + "loss": 0.4889, + "step": 1570 + }, + { + "epoch": 1.46, + "learning_rate": 1.087434196697832e-05, + "loss": 0.5131, + "step": 1571 + }, + { + "epoch": 1.46, + "learning_rate": 1.0864317306623377e-05, + "loss": 0.4939, + "step": 1572 + }, + { + "epoch": 1.47, + "learning_rate": 1.0854291771068812e-05, + "loss": 0.4845, + "step": 1573 + }, + { + "epoch": 1.47, + "learning_rate": 1.0844265370466393e-05, + "loss": 0.5026, + "step": 1574 + }, + { + "epoch": 1.47, + "learning_rate": 1.0834238114968755e-05, + "loss": 0.5044, + "step": 1575 + }, + { + "epoch": 1.47, + "learning_rate": 1.0824210014729406e-05, + "loss": 0.5049, + "step": 1576 + }, + { + "epoch": 1.47, + "learning_rate": 1.0814181079902709e-05, + "loss": 0.5193, + "step": 1577 + }, + { + "epoch": 1.47, + "learning_rate": 1.0804151320643861e-05, + "loss": 0.472, + "step": 1578 + }, + { + "epoch": 1.47, + "learning_rate": 1.0794120747108908e-05, + "loss": 0.4788, + "step": 1579 + }, + { + "epoch": 1.47, + "learning_rate": 1.0784089369454715e-05, + "loss": 0.4783, + "step": 1580 + }, + { + "epoch": 1.47, + "learning_rate": 1.0774057197838963e-05, + "loss": 0.4897, + "step": 1581 + }, + { + "epoch": 1.47, + "learning_rate": 1.076402424242013e-05, + "loss": 0.4738, + "step": 1582 + }, + { + "epoch": 1.47, + "learning_rate": 1.0753990513357498e-05, + "loss": 0.521, + "step": 1583 + }, + { + "epoch": 1.48, + "learning_rate": 1.0743956020811122e-05, + "loss": 0.4788, + "step": 1584 + }, + { + "epoch": 1.48, + "learning_rate": 1.073392077494184e-05, + "loss": 0.4884, + "step": 1585 + }, + { + "epoch": 1.48, + "learning_rate": 1.0723884785911245e-05, + "loss": 0.4658, + "step": 1586 + }, + { + "epoch": 1.48, + "learning_rate": 1.0713848063881689e-05, + "loss": 0.4669, + "step": 1587 + }, + { + "epoch": 1.48, + "learning_rate": 1.070381061901626e-05, + "loss": 0.4835, + "step": 1588 + }, + { + "epoch": 1.48, + "learning_rate": 1.069377246147878e-05, + "loss": 0.4872, + "step": 1589 + }, + { + "epoch": 1.48, + "learning_rate": 1.0683733601433794e-05, + "loss": 0.4857, + "step": 1590 + }, + { + "epoch": 1.48, + "learning_rate": 1.0673694049046561e-05, + "loss": 0.4817, + "step": 1591 + }, + { + "epoch": 1.48, + "learning_rate": 1.0663653814483035e-05, + "loss": 0.4813, + "step": 1592 + }, + { + "epoch": 1.48, + "learning_rate": 1.0653612907909864e-05, + "loss": 0.4639, + "step": 1593 + }, + { + "epoch": 1.48, + "learning_rate": 1.0643571339494378e-05, + "loss": 0.4532, + "step": 1594 + }, + { + "epoch": 1.49, + "learning_rate": 1.0633529119404571e-05, + "loss": 0.5048, + "step": 1595 + }, + { + "epoch": 1.49, + "learning_rate": 1.0623486257809103e-05, + "loss": 0.5009, + "step": 1596 + }, + { + "epoch": 1.49, + "learning_rate": 1.0613442764877286e-05, + "loss": 0.4929, + "step": 1597 + }, + { + "epoch": 1.49, + "learning_rate": 1.060339865077906e-05, + "loss": 0.4883, + "step": 1598 + }, + { + "epoch": 1.49, + "learning_rate": 1.0593353925685005e-05, + "loss": 0.4996, + "step": 1599 + }, + { + "epoch": 1.49, + "learning_rate": 1.0583308599766316e-05, + "loss": 0.4658, + "step": 1600 + }, + { + "epoch": 1.49, + "learning_rate": 1.0573262683194793e-05, + "loss": 0.4597, + "step": 1601 + }, + { + "epoch": 1.49, + "learning_rate": 1.056321618614284e-05, + "loss": 0.4752, + "step": 1602 + }, + { + "epoch": 1.49, + "learning_rate": 1.0553169118783445e-05, + "loss": 0.4895, + "step": 1603 + }, + { + "epoch": 1.49, + "learning_rate": 1.0543121491290177e-05, + "loss": 0.4813, + "step": 1604 + }, + { + "epoch": 1.5, + "learning_rate": 1.0533073313837163e-05, + "loss": 0.4677, + "step": 1605 + }, + { + "epoch": 1.5, + "learning_rate": 1.0523024596599101e-05, + "loss": 0.4917, + "step": 1606 + }, + { + "epoch": 1.5, + "learning_rate": 1.0512975349751224e-05, + "loss": 0.4966, + "step": 1607 + }, + { + "epoch": 1.5, + "learning_rate": 1.0502925583469305e-05, + "loss": 0.4956, + "step": 1608 + }, + { + "epoch": 1.5, + "learning_rate": 1.0492875307929643e-05, + "loss": 0.4702, + "step": 1609 + }, + { + "epoch": 1.5, + "learning_rate": 1.0482824533309057e-05, + "loss": 0.4916, + "step": 1610 + }, + { + "epoch": 1.5, + "learning_rate": 1.0472773269784866e-05, + "loss": 0.4861, + "step": 1611 + }, + { + "epoch": 1.5, + "learning_rate": 1.0462721527534882e-05, + "loss": 0.491, + "step": 1612 + }, + { + "epoch": 1.5, + "learning_rate": 1.0452669316737407e-05, + "loss": 0.4619, + "step": 1613 + }, + { + "epoch": 1.5, + "learning_rate": 1.044261664757122e-05, + "loss": 0.4917, + "step": 1614 + }, + { + "epoch": 1.5, + "learning_rate": 1.0432563530215552e-05, + "loss": 0.478, + "step": 1615 + }, + { + "epoch": 1.51, + "learning_rate": 1.0422509974850099e-05, + "loss": 0.4664, + "step": 1616 + }, + { + "epoch": 1.51, + "learning_rate": 1.0412455991654998e-05, + "loss": 0.4883, + "step": 1617 + }, + { + "epoch": 1.51, + "learning_rate": 1.0402401590810817e-05, + "loss": 0.4885, + "step": 1618 + }, + { + "epoch": 1.51, + "learning_rate": 1.039234678249855e-05, + "loss": 0.494, + "step": 1619 + }, + { + "epoch": 1.51, + "learning_rate": 1.0382291576899606e-05, + "loss": 0.4774, + "step": 1620 + }, + { + "epoch": 1.51, + "learning_rate": 1.037223598419578e-05, + "loss": 0.5057, + "step": 1621 + }, + { + "epoch": 1.51, + "learning_rate": 1.0362180014569281e-05, + "loss": 0.4844, + "step": 1622 + }, + { + "epoch": 1.51, + "learning_rate": 1.0352123678202686e-05, + "loss": 0.5067, + "step": 1623 + }, + { + "epoch": 1.51, + "learning_rate": 1.034206698527895e-05, + "loss": 0.5426, + "step": 1624 + }, + { + "epoch": 1.51, + "learning_rate": 1.0332009945981385e-05, + "loss": 0.4961, + "step": 1625 + }, + { + "epoch": 1.51, + "learning_rate": 1.0321952570493652e-05, + "loss": 0.4508, + "step": 1626 + }, + { + "epoch": 1.52, + "learning_rate": 1.031189486899976e-05, + "loss": 0.4988, + "step": 1627 + }, + { + "epoch": 1.52, + "learning_rate": 1.0301836851684038e-05, + "loss": 0.4674, + "step": 1628 + }, + { + "epoch": 1.52, + "learning_rate": 1.0291778528731144e-05, + "loss": 0.5122, + "step": 1629 + }, + { + "epoch": 1.52, + "learning_rate": 1.0281719910326043e-05, + "loss": 0.4819, + "step": 1630 + }, + { + "epoch": 1.52, + "learning_rate": 1.0271661006653995e-05, + "loss": 0.4995, + "step": 1631 + }, + { + "epoch": 1.52, + "learning_rate": 1.0261601827900551e-05, + "loss": 0.4944, + "step": 1632 + }, + { + "epoch": 1.52, + "learning_rate": 1.0251542384251545e-05, + "loss": 0.4761, + "step": 1633 + }, + { + "epoch": 1.52, + "learning_rate": 1.0241482685893072e-05, + "loss": 0.4806, + "step": 1634 + }, + { + "epoch": 1.52, + "learning_rate": 1.023142274301149e-05, + "loss": 0.4618, + "step": 1635 + }, + { + "epoch": 1.52, + "learning_rate": 1.0221362565793402e-05, + "loss": 0.5021, + "step": 1636 + }, + { + "epoch": 1.52, + "learning_rate": 1.0211302164425657e-05, + "loss": 0.4764, + "step": 1637 + }, + { + "epoch": 1.53, + "learning_rate": 1.020124154909531e-05, + "loss": 0.4883, + "step": 1638 + }, + { + "epoch": 1.53, + "learning_rate": 1.0191180729989654e-05, + "loss": 0.4753, + "step": 1639 + }, + { + "epoch": 1.53, + "learning_rate": 1.0181119717296182e-05, + "loss": 0.4968, + "step": 1640 + }, + { + "epoch": 1.53, + "learning_rate": 1.0171058521202578e-05, + "loss": 0.4938, + "step": 1641 + }, + { + "epoch": 1.53, + "learning_rate": 1.0160997151896712e-05, + "loss": 0.4889, + "step": 1642 + }, + { + "epoch": 1.53, + "learning_rate": 1.0150935619566637e-05, + "loss": 0.4984, + "step": 1643 + }, + { + "epoch": 1.53, + "learning_rate": 1.0140873934400568e-05, + "loss": 0.4899, + "step": 1644 + }, + { + "epoch": 1.53, + "learning_rate": 1.013081210658687e-05, + "loss": 0.4901, + "step": 1645 + }, + { + "epoch": 1.53, + "learning_rate": 1.0120750146314053e-05, + "loss": 0.4913, + "step": 1646 + }, + { + "epoch": 1.53, + "learning_rate": 1.0110688063770773e-05, + "loss": 0.4817, + "step": 1647 + }, + { + "epoch": 1.54, + "learning_rate": 1.010062586914579e-05, + "loss": 0.4655, + "step": 1648 + }, + { + "epoch": 1.54, + "learning_rate": 1.0090563572627994e-05, + "loss": 0.4841, + "step": 1649 + }, + { + "epoch": 1.54, + "learning_rate": 1.0080501184406373e-05, + "loss": 0.4778, + "step": 1650 + }, + { + "epoch": 1.54, + "learning_rate": 1.0070438714670004e-05, + "loss": 0.4863, + "step": 1651 + }, + { + "epoch": 1.54, + "learning_rate": 1.0060376173608053e-05, + "loss": 0.4718, + "step": 1652 + }, + { + "epoch": 1.54, + "learning_rate": 1.0050313571409751e-05, + "loss": 0.5013, + "step": 1653 + }, + { + "epoch": 1.54, + "learning_rate": 1.00402509182644e-05, + "loss": 0.4868, + "step": 1654 + }, + { + "epoch": 1.54, + "learning_rate": 1.0030188224361347e-05, + "loss": 0.4813, + "step": 1655 + }, + { + "epoch": 1.54, + "learning_rate": 1.0020125499889976e-05, + "loss": 0.4716, + "step": 1656 + }, + { + "epoch": 1.54, + "learning_rate": 1.0010062755039716e-05, + "loss": 0.4666, + "step": 1657 + }, + { + "epoch": 1.54, + "learning_rate": 1e-05, + "loss": 0.4889, + "step": 1658 + }, + { + "epoch": 1.55, + "learning_rate": 9.989937244960287e-06, + "loss": 0.4592, + "step": 1659 + }, + { + "epoch": 1.55, + "learning_rate": 9.979874500110026e-06, + "loss": 0.4711, + "step": 1660 + }, + { + "epoch": 1.55, + "learning_rate": 9.969811775638655e-06, + "loss": 0.4536, + "step": 1661 + }, + { + "epoch": 1.55, + "learning_rate": 9.959749081735604e-06, + "loss": 0.5002, + "step": 1662 + }, + { + "epoch": 1.55, + "learning_rate": 9.949686428590252e-06, + "loss": 0.5, + "step": 1663 + }, + { + "epoch": 1.55, + "learning_rate": 9.93962382639195e-06, + "loss": 0.4973, + "step": 1664 + }, + { + "epoch": 1.55, + "learning_rate": 9.929561285329998e-06, + "loss": 0.4681, + "step": 1665 + }, + { + "epoch": 1.55, + "learning_rate": 9.91949881559363e-06, + "loss": 0.4747, + "step": 1666 + }, + { + "epoch": 1.55, + "learning_rate": 9.909436427372007e-06, + "loss": 0.4569, + "step": 1667 + }, + { + "epoch": 1.55, + "learning_rate": 9.899374130854215e-06, + "loss": 0.4725, + "step": 1668 + }, + { + "epoch": 1.55, + "learning_rate": 9.889311936229234e-06, + "loss": 0.4633, + "step": 1669 + }, + { + "epoch": 1.56, + "learning_rate": 9.87924985368595e-06, + "loss": 0.4666, + "step": 1670 + }, + { + "epoch": 1.56, + "learning_rate": 9.869187893413134e-06, + "loss": 0.5184, + "step": 1671 + }, + { + "epoch": 1.56, + "learning_rate": 9.859126065599435e-06, + "loss": 0.4993, + "step": 1672 + }, + { + "epoch": 1.56, + "learning_rate": 9.849064380433364e-06, + "loss": 0.5129, + "step": 1673 + }, + { + "epoch": 1.56, + "learning_rate": 9.83900284810329e-06, + "loss": 0.5027, + "step": 1674 + }, + { + "epoch": 1.56, + "learning_rate": 9.828941478797429e-06, + "loss": 0.4976, + "step": 1675 + }, + { + "epoch": 1.56, + "learning_rate": 9.818880282703823e-06, + "loss": 0.467, + "step": 1676 + }, + { + "epoch": 1.56, + "learning_rate": 9.808819270010348e-06, + "loss": 0.4734, + "step": 1677 + }, + { + "epoch": 1.56, + "learning_rate": 9.798758450904693e-06, + "loss": 0.5001, + "step": 1678 + }, + { + "epoch": 1.56, + "learning_rate": 9.788697835574348e-06, + "loss": 0.5046, + "step": 1679 + }, + { + "epoch": 1.56, + "learning_rate": 9.778637434206596e-06, + "loss": 0.5261, + "step": 1680 + }, + { + "epoch": 1.57, + "learning_rate": 9.76857725698851e-06, + "loss": 0.4698, + "step": 1681 + }, + { + "epoch": 1.57, + "learning_rate": 9.758517314106932e-06, + "loss": 0.4678, + "step": 1682 + }, + { + "epoch": 1.57, + "learning_rate": 9.748457615748459e-06, + "loss": 0.4915, + "step": 1683 + }, + { + "epoch": 1.57, + "learning_rate": 9.738398172099452e-06, + "loss": 0.5317, + "step": 1684 + }, + { + "epoch": 1.57, + "learning_rate": 9.728338993346009e-06, + "loss": 0.5005, + "step": 1685 + }, + { + "epoch": 1.57, + "learning_rate": 9.718280089673959e-06, + "loss": 0.524, + "step": 1686 + }, + { + "epoch": 1.57, + "learning_rate": 9.708221471268856e-06, + "loss": 0.4869, + "step": 1687 + }, + { + "epoch": 1.57, + "learning_rate": 9.698163148315967e-06, + "loss": 0.4742, + "step": 1688 + }, + { + "epoch": 1.57, + "learning_rate": 9.688105131000245e-06, + "loss": 0.5087, + "step": 1689 + }, + { + "epoch": 1.57, + "learning_rate": 9.678047429506352e-06, + "loss": 0.5171, + "step": 1690 + }, + { + "epoch": 1.58, + "learning_rate": 9.667990054018619e-06, + "loss": 0.4734, + "step": 1691 + }, + { + "epoch": 1.58, + "learning_rate": 9.657933014721051e-06, + "loss": 0.4789, + "step": 1692 + }, + { + "epoch": 1.58, + "learning_rate": 9.647876321797314e-06, + "loss": 0.4561, + "step": 1693 + }, + { + "epoch": 1.58, + "learning_rate": 9.637819985430719e-06, + "loss": 0.4617, + "step": 1694 + }, + { + "epoch": 1.58, + "learning_rate": 9.627764015804225e-06, + "loss": 0.463, + "step": 1695 + }, + { + "epoch": 1.58, + "learning_rate": 9.6177084231004e-06, + "loss": 0.4907, + "step": 1696 + }, + { + "epoch": 1.58, + "learning_rate": 9.607653217501452e-06, + "loss": 0.498, + "step": 1697 + }, + { + "epoch": 1.58, + "learning_rate": 9.597598409189185e-06, + "loss": 0.5052, + "step": 1698 + }, + { + "epoch": 1.58, + "learning_rate": 9.587544008345004e-06, + "loss": 0.5002, + "step": 1699 + }, + { + "epoch": 1.58, + "learning_rate": 9.577490025149904e-06, + "loss": 0.5007, + "step": 1700 + }, + { + "epoch": 1.58, + "learning_rate": 9.567436469784453e-06, + "loss": 0.4932, + "step": 1701 + }, + { + "epoch": 1.59, + "learning_rate": 9.557383352428786e-06, + "loss": 0.4634, + "step": 1702 + }, + { + "epoch": 1.59, + "learning_rate": 9.547330683262596e-06, + "loss": 0.5017, + "step": 1703 + }, + { + "epoch": 1.59, + "learning_rate": 9.537278472465121e-06, + "loss": 0.4814, + "step": 1704 + }, + { + "epoch": 1.59, + "learning_rate": 9.527226730215137e-06, + "loss": 0.4521, + "step": 1705 + }, + { + "epoch": 1.59, + "learning_rate": 9.517175466690943e-06, + "loss": 0.4856, + "step": 1706 + }, + { + "epoch": 1.59, + "learning_rate": 9.507124692070356e-06, + "loss": 0.5043, + "step": 1707 + }, + { + "epoch": 1.59, + "learning_rate": 9.497074416530701e-06, + "loss": 0.4869, + "step": 1708 + }, + { + "epoch": 1.59, + "learning_rate": 9.48702465024878e-06, + "loss": 0.5093, + "step": 1709 + }, + { + "epoch": 1.59, + "learning_rate": 9.476975403400904e-06, + "loss": 0.4772, + "step": 1710 + }, + { + "epoch": 1.59, + "learning_rate": 9.466926686162839e-06, + "loss": 0.4954, + "step": 1711 + }, + { + "epoch": 1.59, + "learning_rate": 9.456878508709827e-06, + "loss": 0.4917, + "step": 1712 + }, + { + "epoch": 1.6, + "learning_rate": 9.446830881216557e-06, + "loss": 0.4829, + "step": 1713 + }, + { + "epoch": 1.6, + "learning_rate": 9.436783813857161e-06, + "loss": 0.4805, + "step": 1714 + }, + { + "epoch": 1.6, + "learning_rate": 9.42673731680521e-06, + "loss": 0.4971, + "step": 1715 + }, + { + "epoch": 1.6, + "learning_rate": 9.416691400233687e-06, + "loss": 0.5077, + "step": 1716 + }, + { + "epoch": 1.6, + "learning_rate": 9.406646074314998e-06, + "loss": 0.4781, + "step": 1717 + }, + { + "epoch": 1.6, + "learning_rate": 9.396601349220942e-06, + "loss": 0.4674, + "step": 1718 + }, + { + "epoch": 1.6, + "learning_rate": 9.386557235122716e-06, + "loss": 0.467, + "step": 1719 + }, + { + "epoch": 1.6, + "learning_rate": 9.376513742190897e-06, + "loss": 0.4988, + "step": 1720 + }, + { + "epoch": 1.6, + "learning_rate": 9.366470880595434e-06, + "loss": 0.4939, + "step": 1721 + }, + { + "epoch": 1.6, + "learning_rate": 9.356428660505627e-06, + "loss": 0.4757, + "step": 1722 + }, + { + "epoch": 1.61, + "learning_rate": 9.346387092090139e-06, + "loss": 0.476, + "step": 1723 + }, + { + "epoch": 1.61, + "learning_rate": 9.336346185516966e-06, + "loss": 0.4758, + "step": 1724 + }, + { + "epoch": 1.61, + "learning_rate": 9.32630595095344e-06, + "loss": 0.5076, + "step": 1725 + }, + { + "epoch": 1.61, + "learning_rate": 9.316266398566206e-06, + "loss": 0.4935, + "step": 1726 + }, + { + "epoch": 1.61, + "learning_rate": 9.306227538521221e-06, + "loss": 0.4718, + "step": 1727 + }, + { + "epoch": 1.61, + "learning_rate": 9.296189380983747e-06, + "loss": 0.4706, + "step": 1728 + }, + { + "epoch": 1.61, + "learning_rate": 9.286151936118316e-06, + "loss": 0.4948, + "step": 1729 + }, + { + "epoch": 1.61, + "learning_rate": 9.276115214088758e-06, + "loss": 0.4744, + "step": 1730 + }, + { + "epoch": 1.61, + "learning_rate": 9.266079225058164e-06, + "loss": 0.493, + "step": 1731 + }, + { + "epoch": 1.61, + "learning_rate": 9.256043979188881e-06, + "loss": 0.483, + "step": 1732 + }, + { + "epoch": 1.61, + "learning_rate": 9.246009486642506e-06, + "loss": 0.4916, + "step": 1733 + }, + { + "epoch": 1.62, + "learning_rate": 9.235975757579872e-06, + "loss": 0.5054, + "step": 1734 + }, + { + "epoch": 1.62, + "learning_rate": 9.225942802161042e-06, + "loss": 0.4965, + "step": 1735 + }, + { + "epoch": 1.62, + "learning_rate": 9.215910630545288e-06, + "loss": 0.4733, + "step": 1736 + }, + { + "epoch": 1.62, + "learning_rate": 9.205879252891094e-06, + "loss": 0.4917, + "step": 1737 + }, + { + "epoch": 1.62, + "learning_rate": 9.195848679356144e-06, + "loss": 0.4967, + "step": 1738 + }, + { + "epoch": 1.62, + "learning_rate": 9.185818920097296e-06, + "loss": 0.4762, + "step": 1739 + }, + { + "epoch": 1.62, + "learning_rate": 9.175789985270594e-06, + "loss": 0.4755, + "step": 1740 + }, + { + "epoch": 1.62, + "learning_rate": 9.16576188503125e-06, + "loss": 0.4945, + "step": 1741 + }, + { + "epoch": 1.62, + "learning_rate": 9.155734629533612e-06, + "loss": 0.4917, + "step": 1742 + }, + { + "epoch": 1.62, + "learning_rate": 9.145708228931191e-06, + "loss": 0.4788, + "step": 1743 + }, + { + "epoch": 1.62, + "learning_rate": 9.135682693376626e-06, + "loss": 0.4666, + "step": 1744 + }, + { + "epoch": 1.63, + "learning_rate": 9.125658033021683e-06, + "loss": 0.4783, + "step": 1745 + }, + { + "epoch": 1.63, + "learning_rate": 9.115634258017235e-06, + "loss": 0.4973, + "step": 1746 + }, + { + "epoch": 1.63, + "learning_rate": 9.105611378513267e-06, + "loss": 0.4706, + "step": 1747 + }, + { + "epoch": 1.63, + "learning_rate": 9.095589404658852e-06, + "loss": 0.486, + "step": 1748 + }, + { + "epoch": 1.63, + "learning_rate": 9.085568346602146e-06, + "loss": 0.4911, + "step": 1749 + }, + { + "epoch": 1.63, + "learning_rate": 9.075548214490377e-06, + "loss": 0.4888, + "step": 1750 + }, + { + "epoch": 1.63, + "learning_rate": 9.065529018469839e-06, + "loss": 0.4697, + "step": 1751 + }, + { + "epoch": 1.63, + "learning_rate": 9.055510768685878e-06, + "loss": 0.4885, + "step": 1752 + }, + { + "epoch": 1.63, + "learning_rate": 9.045493475282876e-06, + "loss": 0.5062, + "step": 1753 + }, + { + "epoch": 1.63, + "learning_rate": 9.035477148404257e-06, + "loss": 0.5118, + "step": 1754 + }, + { + "epoch": 1.63, + "learning_rate": 9.025461798192453e-06, + "loss": 0.4999, + "step": 1755 + }, + { + "epoch": 1.64, + "learning_rate": 9.015447434788915e-06, + "loss": 0.4828, + "step": 1756 + }, + { + "epoch": 1.64, + "learning_rate": 9.005434068334095e-06, + "loss": 0.4844, + "step": 1757 + }, + { + "epoch": 1.64, + "learning_rate": 8.995421708967437e-06, + "loss": 0.4932, + "step": 1758 + }, + { + "epoch": 1.64, + "learning_rate": 8.985410366827358e-06, + "loss": 0.4764, + "step": 1759 + }, + { + "epoch": 1.64, + "learning_rate": 8.97540005205125e-06, + "loss": 0.468, + "step": 1760 + }, + { + "epoch": 1.64, + "learning_rate": 8.965390774775472e-06, + "loss": 0.4917, + "step": 1761 + }, + { + "epoch": 1.64, + "learning_rate": 8.955382545135314e-06, + "loss": 0.4856, + "step": 1762 + }, + { + "epoch": 1.64, + "learning_rate": 8.945375373265017e-06, + "loss": 0.4703, + "step": 1763 + }, + { + "epoch": 1.64, + "learning_rate": 8.935369269297755e-06, + "loss": 0.5012, + "step": 1764 + }, + { + "epoch": 1.64, + "learning_rate": 8.925364243365611e-06, + "loss": 0.5096, + "step": 1765 + }, + { + "epoch": 1.65, + "learning_rate": 8.915360305599584e-06, + "loss": 0.4845, + "step": 1766 + }, + { + "epoch": 1.65, + "learning_rate": 8.905357466129565e-06, + "loss": 0.4878, + "step": 1767 + }, + { + "epoch": 1.65, + "learning_rate": 8.895355735084338e-06, + "loss": 0.5088, + "step": 1768 + }, + { + "epoch": 1.65, + "learning_rate": 8.88535512259156e-06, + "loss": 0.476, + "step": 1769 + }, + { + "epoch": 1.65, + "learning_rate": 8.875355638777757e-06, + "loss": 0.4749, + "step": 1770 + }, + { + "epoch": 1.65, + "learning_rate": 8.865357293768316e-06, + "loss": 0.5022, + "step": 1771 + }, + { + "epoch": 1.65, + "learning_rate": 8.855360097687467e-06, + "loss": 0.4629, + "step": 1772 + }, + { + "epoch": 1.65, + "learning_rate": 8.845364060658274e-06, + "loss": 0.4556, + "step": 1773 + }, + { + "epoch": 1.65, + "learning_rate": 8.83536919280264e-06, + "loss": 0.4772, + "step": 1774 + }, + { + "epoch": 1.65, + "learning_rate": 8.825375504241262e-06, + "loss": 0.4742, + "step": 1775 + }, + { + "epoch": 1.65, + "learning_rate": 8.81538300509366e-06, + "loss": 0.4895, + "step": 1776 + }, + { + "epoch": 1.66, + "learning_rate": 8.805391705478149e-06, + "loss": 0.4814, + "step": 1777 + }, + { + "epoch": 1.66, + "learning_rate": 8.79540161551182e-06, + "loss": 0.4751, + "step": 1778 + }, + { + "epoch": 1.66, + "learning_rate": 8.78541274531055e-06, + "loss": 0.4833, + "step": 1779 + }, + { + "epoch": 1.66, + "learning_rate": 8.775425104988972e-06, + "loss": 0.485, + "step": 1780 + }, + { + "epoch": 1.66, + "learning_rate": 8.765438704660481e-06, + "loss": 0.5011, + "step": 1781 + }, + { + "epoch": 1.66, + "learning_rate": 8.755453554437207e-06, + "loss": 0.5001, + "step": 1782 + }, + { + "epoch": 1.66, + "learning_rate": 8.745469664430025e-06, + "loss": 0.4855, + "step": 1783 + }, + { + "epoch": 1.66, + "learning_rate": 8.735487044748523e-06, + "loss": 0.4766, + "step": 1784 + }, + { + "epoch": 1.66, + "learning_rate": 8.725505705501013e-06, + "loss": 0.4736, + "step": 1785 + }, + { + "epoch": 1.66, + "learning_rate": 8.715525656794504e-06, + "loss": 0.4845, + "step": 1786 + }, + { + "epoch": 1.66, + "learning_rate": 8.705546908734704e-06, + "loss": 0.5095, + "step": 1787 + }, + { + "epoch": 1.67, + "learning_rate": 8.695569471425992e-06, + "loss": 0.4771, + "step": 1788 + }, + { + "epoch": 1.67, + "learning_rate": 8.685593354971433e-06, + "loss": 0.5049, + "step": 1789 + }, + { + "epoch": 1.67, + "learning_rate": 8.675618569472747e-06, + "loss": 0.4753, + "step": 1790 + }, + { + "epoch": 1.67, + "learning_rate": 8.665645125030312e-06, + "loss": 0.4674, + "step": 1791 + }, + { + "epoch": 1.67, + "learning_rate": 8.65567303174314e-06, + "loss": 0.4532, + "step": 1792 + }, + { + "epoch": 1.67, + "learning_rate": 8.645702299708881e-06, + "loss": 0.4807, + "step": 1793 + }, + { + "epoch": 1.67, + "learning_rate": 8.63573293902381e-06, + "loss": 0.4863, + "step": 1794 + }, + { + "epoch": 1.67, + "learning_rate": 8.6257649597828e-06, + "loss": 0.4609, + "step": 1795 + }, + { + "epoch": 1.67, + "learning_rate": 8.615798372079338e-06, + "loss": 0.4843, + "step": 1796 + }, + { + "epoch": 1.67, + "learning_rate": 8.605833186005496e-06, + "loss": 0.4919, + "step": 1797 + }, + { + "epoch": 1.67, + "learning_rate": 8.595869411651931e-06, + "loss": 0.4707, + "step": 1798 + }, + { + "epoch": 1.68, + "learning_rate": 8.585907059107864e-06, + "loss": 0.4705, + "step": 1799 + }, + { + "epoch": 1.68, + "learning_rate": 8.575946138461084e-06, + "loss": 0.4812, + "step": 1800 + }, + { + "epoch": 1.68, + "learning_rate": 8.565986659797924e-06, + "loss": 0.4913, + "step": 1801 + }, + { + "epoch": 1.68, + "learning_rate": 8.556028633203256e-06, + "loss": 0.4984, + "step": 1802 + }, + { + "epoch": 1.68, + "learning_rate": 8.54607206876049e-06, + "loss": 0.4924, + "step": 1803 + }, + { + "epoch": 1.68, + "learning_rate": 8.536116976551546e-06, + "loss": 0.4902, + "step": 1804 + }, + { + "epoch": 1.68, + "learning_rate": 8.526163366656858e-06, + "loss": 0.4731, + "step": 1805 + }, + { + "epoch": 1.68, + "learning_rate": 8.51621124915536e-06, + "loss": 0.5125, + "step": 1806 + }, + { + "epoch": 1.68, + "learning_rate": 8.506260634124476e-06, + "loss": 0.4844, + "step": 1807 + }, + { + "epoch": 1.68, + "learning_rate": 8.496311531640098e-06, + "loss": 0.4769, + "step": 1808 + }, + { + "epoch": 1.69, + "learning_rate": 8.486363951776597e-06, + "loss": 0.4717, + "step": 1809 + }, + { + "epoch": 1.69, + "learning_rate": 8.4764179046068e-06, + "loss": 0.4762, + "step": 1810 + }, + { + "epoch": 1.69, + "learning_rate": 8.466473400201984e-06, + "loss": 0.4635, + "step": 1811 + }, + { + "epoch": 1.69, + "learning_rate": 8.456530448631856e-06, + "loss": 0.4697, + "step": 1812 + }, + { + "epoch": 1.69, + "learning_rate": 8.446589059964559e-06, + "loss": 0.5277, + "step": 1813 + }, + { + "epoch": 1.69, + "learning_rate": 8.436649244266652e-06, + "loss": 0.4795, + "step": 1814 + }, + { + "epoch": 1.69, + "learning_rate": 8.426711011603096e-06, + "loss": 0.5084, + "step": 1815 + }, + { + "epoch": 1.69, + "learning_rate": 8.416774372037253e-06, + "loss": 0.5002, + "step": 1816 + }, + { + "epoch": 1.69, + "learning_rate": 8.406839335630872e-06, + "loss": 0.5081, + "step": 1817 + }, + { + "epoch": 1.69, + "learning_rate": 8.396905912444075e-06, + "loss": 0.4866, + "step": 1818 + }, + { + "epoch": 1.69, + "learning_rate": 8.38697411253536e-06, + "loss": 0.4805, + "step": 1819 + }, + { + "epoch": 1.7, + "learning_rate": 8.377043945961566e-06, + "loss": 0.4751, + "step": 1820 + }, + { + "epoch": 1.7, + "learning_rate": 8.3671154227779e-06, + "loss": 0.4735, + "step": 1821 + }, + { + "epoch": 1.7, + "learning_rate": 8.357188553037878e-06, + "loss": 0.4608, + "step": 1822 + }, + { + "epoch": 1.7, + "learning_rate": 8.34726334679336e-06, + "loss": 0.4965, + "step": 1823 + }, + { + "epoch": 1.7, + "learning_rate": 8.337339814094518e-06, + "loss": 0.4598, + "step": 1824 + }, + { + "epoch": 1.7, + "learning_rate": 8.32741796498983e-06, + "loss": 0.4645, + "step": 1825 + }, + { + "epoch": 1.7, + "learning_rate": 8.317497809526062e-06, + "loss": 0.493, + "step": 1826 + }, + { + "epoch": 1.7, + "learning_rate": 8.307579357748281e-06, + "loss": 0.4827, + "step": 1827 + }, + { + "epoch": 1.7, + "learning_rate": 8.297662619699807e-06, + "loss": 0.4529, + "step": 1828 + }, + { + "epoch": 1.7, + "learning_rate": 8.287747605422241e-06, + "loss": 0.4829, + "step": 1829 + }, + { + "epoch": 1.7, + "learning_rate": 8.277834324955434e-06, + "loss": 0.4926, + "step": 1830 + }, + { + "epoch": 1.71, + "learning_rate": 8.267922788337482e-06, + "loss": 0.5046, + "step": 1831 + }, + { + "epoch": 1.71, + "learning_rate": 8.25801300560471e-06, + "loss": 0.4885, + "step": 1832 + }, + { + "epoch": 1.71, + "learning_rate": 8.248104986791677e-06, + "loss": 0.4744, + "step": 1833 + }, + { + "epoch": 1.71, + "learning_rate": 8.238198741931149e-06, + "loss": 0.5159, + "step": 1834 + }, + { + "epoch": 1.71, + "learning_rate": 8.228294281054093e-06, + "loss": 0.5002, + "step": 1835 + }, + { + "epoch": 1.71, + "learning_rate": 8.218391614189676e-06, + "loss": 0.494, + "step": 1836 + }, + { + "epoch": 1.71, + "learning_rate": 8.208490751365245e-06, + "loss": 0.4874, + "step": 1837 + }, + { + "epoch": 1.71, + "learning_rate": 8.198591702606322e-06, + "loss": 0.4673, + "step": 1838 + }, + { + "epoch": 1.71, + "learning_rate": 8.188694477936593e-06, + "loss": 0.4845, + "step": 1839 + }, + { + "epoch": 1.71, + "learning_rate": 8.178799087377894e-06, + "loss": 0.4822, + "step": 1840 + }, + { + "epoch": 1.71, + "learning_rate": 8.168905540950202e-06, + "loss": 0.4781, + "step": 1841 + }, + { + "epoch": 1.72, + "learning_rate": 8.15901384867163e-06, + "loss": 0.4786, + "step": 1842 + }, + { + "epoch": 1.72, + "learning_rate": 8.149124020558417e-06, + "loss": 0.4603, + "step": 1843 + }, + { + "epoch": 1.72, + "learning_rate": 8.139236066624906e-06, + "loss": 0.494, + "step": 1844 + }, + { + "epoch": 1.72, + "learning_rate": 8.129349996883551e-06, + "loss": 0.4678, + "step": 1845 + }, + { + "epoch": 1.72, + "learning_rate": 8.11946582134489e-06, + "loss": 0.4865, + "step": 1846 + }, + { + "epoch": 1.72, + "learning_rate": 8.10958355001755e-06, + "loss": 0.4884, + "step": 1847 + }, + { + "epoch": 1.72, + "learning_rate": 8.099703192908223e-06, + "loss": 0.4888, + "step": 1848 + }, + { + "epoch": 1.72, + "learning_rate": 8.089824760021668e-06, + "loss": 0.4869, + "step": 1849 + }, + { + "epoch": 1.72, + "learning_rate": 8.079948261360695e-06, + "loss": 0.4908, + "step": 1850 + }, + { + "epoch": 1.72, + "learning_rate": 8.070073706926151e-06, + "loss": 0.4723, + "step": 1851 + }, + { + "epoch": 1.73, + "learning_rate": 8.06020110671692e-06, + "loss": 0.5149, + "step": 1852 + }, + { + "epoch": 1.73, + "learning_rate": 8.050330470729904e-06, + "loss": 0.4891, + "step": 1853 + }, + { + "epoch": 1.73, + "learning_rate": 8.04046180896002e-06, + "loss": 0.4608, + "step": 1854 + }, + { + "epoch": 1.73, + "learning_rate": 8.030595131400176e-06, + "loss": 0.4731, + "step": 1855 + }, + { + "epoch": 1.73, + "learning_rate": 8.020730448041279e-06, + "loss": 0.4738, + "step": 1856 + }, + { + "epoch": 1.73, + "learning_rate": 8.010867768872218e-06, + "loss": 0.4856, + "step": 1857 + }, + { + "epoch": 1.73, + "learning_rate": 8.001007103879847e-06, + "loss": 0.4651, + "step": 1858 + }, + { + "epoch": 1.73, + "learning_rate": 7.991148463048987e-06, + "loss": 0.5167, + "step": 1859 + }, + { + "epoch": 1.73, + "learning_rate": 7.981291856362405e-06, + "loss": 0.4924, + "step": 1860 + }, + { + "epoch": 1.73, + "learning_rate": 7.971437293800804e-06, + "loss": 0.4817, + "step": 1861 + }, + { + "epoch": 1.73, + "learning_rate": 7.961584785342824e-06, + "loss": 0.4523, + "step": 1862 + }, + { + "epoch": 1.74, + "learning_rate": 7.951734340965022e-06, + "loss": 0.4878, + "step": 1863 + }, + { + "epoch": 1.74, + "learning_rate": 7.94188597064187e-06, + "loss": 0.489, + "step": 1864 + }, + { + "epoch": 1.74, + "learning_rate": 7.932039684345731e-06, + "loss": 0.4698, + "step": 1865 + }, + { + "epoch": 1.74, + "learning_rate": 7.922195492046865e-06, + "loss": 0.4546, + "step": 1866 + }, + { + "epoch": 1.74, + "learning_rate": 7.912353403713411e-06, + "loss": 0.4847, + "step": 1867 + }, + { + "epoch": 1.74, + "learning_rate": 7.90251342931137e-06, + "loss": 0.5052, + "step": 1868 + }, + { + "epoch": 1.74, + "learning_rate": 7.892675578804611e-06, + "loss": 0.4795, + "step": 1869 + }, + { + "epoch": 1.74, + "learning_rate": 7.88283986215485e-06, + "loss": 0.4746, + "step": 1870 + }, + { + "epoch": 1.74, + "learning_rate": 7.873006289321642e-06, + "loss": 0.4771, + "step": 1871 + }, + { + "epoch": 1.74, + "learning_rate": 7.863174870262369e-06, + "loss": 0.4995, + "step": 1872 + }, + { + "epoch": 1.74, + "learning_rate": 7.85334561493224e-06, + "loss": 0.4854, + "step": 1873 + }, + { + "epoch": 1.75, + "learning_rate": 7.843518533284257e-06, + "loss": 0.465, + "step": 1874 + }, + { + "epoch": 1.75, + "learning_rate": 7.833693635269235e-06, + "loss": 0.4851, + "step": 1875 + }, + { + "epoch": 1.75, + "learning_rate": 7.823870930835778e-06, + "loss": 0.5083, + "step": 1876 + }, + { + "epoch": 1.75, + "learning_rate": 7.814050429930258e-06, + "loss": 0.4813, + "step": 1877 + }, + { + "epoch": 1.75, + "learning_rate": 7.804232142496829e-06, + "loss": 0.4912, + "step": 1878 + }, + { + "epoch": 1.75, + "learning_rate": 7.79441607847739e-06, + "loss": 0.495, + "step": 1879 + }, + { + "epoch": 1.75, + "learning_rate": 7.784602247811605e-06, + "loss": 0.4771, + "step": 1880 + }, + { + "epoch": 1.75, + "learning_rate": 7.774790660436857e-06, + "loss": 0.4618, + "step": 1881 + }, + { + "epoch": 1.75, + "learning_rate": 7.764981326288273e-06, + "loss": 0.4857, + "step": 1882 + }, + { + "epoch": 1.75, + "learning_rate": 7.755174255298692e-06, + "loss": 0.4742, + "step": 1883 + }, + { + "epoch": 1.76, + "learning_rate": 7.745369457398665e-06, + "loss": 0.5139, + "step": 1884 + }, + { + "epoch": 1.76, + "learning_rate": 7.735566942516433e-06, + "loss": 0.4827, + "step": 1885 + }, + { + "epoch": 1.76, + "learning_rate": 7.725766720577933e-06, + "loss": 0.5016, + "step": 1886 + }, + { + "epoch": 1.76, + "learning_rate": 7.715968801506786e-06, + "loss": 0.4501, + "step": 1887 + }, + { + "epoch": 1.76, + "learning_rate": 7.70617319522426e-06, + "loss": 0.4745, + "step": 1888 + }, + { + "epoch": 1.76, + "learning_rate": 7.696379911649303e-06, + "loss": 0.475, + "step": 1889 + }, + { + "epoch": 1.76, + "learning_rate": 7.686588960698498e-06, + "loss": 0.4774, + "step": 1890 + }, + { + "epoch": 1.76, + "learning_rate": 7.676800352286074e-06, + "loss": 0.4929, + "step": 1891 + }, + { + "epoch": 1.76, + "learning_rate": 7.667014096323882e-06, + "loss": 0.4912, + "step": 1892 + }, + { + "epoch": 1.76, + "learning_rate": 7.657230202721397e-06, + "loss": 0.4866, + "step": 1893 + }, + { + "epoch": 1.76, + "learning_rate": 7.647448681385692e-06, + "loss": 0.4838, + "step": 1894 + }, + { + "epoch": 1.77, + "learning_rate": 7.637669542221446e-06, + "loss": 0.5137, + "step": 1895 + }, + { + "epoch": 1.77, + "learning_rate": 7.6278927951309255e-06, + "loss": 0.4669, + "step": 1896 + }, + { + "epoch": 1.77, + "learning_rate": 7.6181184500139716e-06, + "loss": 0.4922, + "step": 1897 + }, + { + "epoch": 1.77, + "learning_rate": 7.608346516767997e-06, + "loss": 0.4874, + "step": 1898 + }, + { + "epoch": 1.77, + "learning_rate": 7.598577005287968e-06, + "loss": 0.4802, + "step": 1899 + }, + { + "epoch": 1.77, + "learning_rate": 7.588809925466403e-06, + "loss": 0.473, + "step": 1900 + }, + { + "epoch": 1.77, + "learning_rate": 7.579045287193352e-06, + "loss": 0.502, + "step": 1901 + }, + { + "epoch": 1.77, + "learning_rate": 7.569283100356397e-06, + "loss": 0.4745, + "step": 1902 + }, + { + "epoch": 1.77, + "learning_rate": 7.559523374840639e-06, + "loss": 0.4878, + "step": 1903 + }, + { + "epoch": 1.77, + "learning_rate": 7.549766120528684e-06, + "loss": 0.4851, + "step": 1904 + }, + { + "epoch": 1.77, + "learning_rate": 7.540011347300636e-06, + "loss": 0.4783, + "step": 1905 + }, + { + "epoch": 1.78, + "learning_rate": 7.530259065034089e-06, + "loss": 0.4801, + "step": 1906 + }, + { + "epoch": 1.78, + "learning_rate": 7.520509283604114e-06, + "loss": 0.4895, + "step": 1907 + }, + { + "epoch": 1.78, + "learning_rate": 7.510762012883243e-06, + "loss": 0.5037, + "step": 1908 + }, + { + "epoch": 1.78, + "learning_rate": 7.501017262741472e-06, + "loss": 0.4661, + "step": 1909 + }, + { + "epoch": 1.78, + "learning_rate": 7.491275043046246e-06, + "loss": 0.4706, + "step": 1910 + }, + { + "epoch": 1.78, + "learning_rate": 7.4815353636624474e-06, + "loss": 0.4764, + "step": 1911 + }, + { + "epoch": 1.78, + "learning_rate": 7.471798234452381e-06, + "loss": 0.4738, + "step": 1912 + }, + { + "epoch": 1.78, + "learning_rate": 7.462063665275777e-06, + "loss": 0.4558, + "step": 1913 + }, + { + "epoch": 1.78, + "learning_rate": 7.4523316659897645e-06, + "loss": 0.4849, + "step": 1914 + }, + { + "epoch": 1.78, + "learning_rate": 7.442602246448875e-06, + "loss": 0.4825, + "step": 1915 + }, + { + "epoch": 1.78, + "learning_rate": 7.432875416505031e-06, + "loss": 0.4685, + "step": 1916 + }, + { + "epoch": 1.79, + "learning_rate": 7.423151186007527e-06, + "loss": 0.4845, + "step": 1917 + }, + { + "epoch": 1.79, + "learning_rate": 7.41342956480303e-06, + "loss": 0.4888, + "step": 1918 + }, + { + "epoch": 1.79, + "learning_rate": 7.40371056273556e-06, + "loss": 0.486, + "step": 1919 + }, + { + "epoch": 1.79, + "learning_rate": 7.393994189646494e-06, + "loss": 0.4905, + "step": 1920 + }, + { + "epoch": 1.79, + "learning_rate": 7.384280455374531e-06, + "loss": 0.4624, + "step": 1921 + }, + { + "epoch": 1.79, + "learning_rate": 7.374569369755713e-06, + "loss": 0.4803, + "step": 1922 + }, + { + "epoch": 1.79, + "learning_rate": 7.364860942623393e-06, + "loss": 0.4791, + "step": 1923 + }, + { + "epoch": 1.79, + "learning_rate": 7.355155183808234e-06, + "loss": 0.4802, + "step": 1924 + }, + { + "epoch": 1.79, + "learning_rate": 7.345452103138195e-06, + "loss": 0.4956, + "step": 1925 + }, + { + "epoch": 1.79, + "learning_rate": 7.335751710438533e-06, + "loss": 0.5065, + "step": 1926 + }, + { + "epoch": 1.8, + "learning_rate": 7.326054015531763e-06, + "loss": 0.4749, + "step": 1927 + }, + { + "epoch": 1.8, + "learning_rate": 7.316359028237685e-06, + "loss": 0.4778, + "step": 1928 + }, + { + "epoch": 1.8, + "learning_rate": 7.306666758373353e-06, + "loss": 0.4701, + "step": 1929 + }, + { + "epoch": 1.8, + "learning_rate": 7.29697721575307e-06, + "loss": 0.4686, + "step": 1930 + }, + { + "epoch": 1.8, + "learning_rate": 7.287290410188374e-06, + "loss": 0.4893, + "step": 1931 + }, + { + "epoch": 1.8, + "learning_rate": 7.2776063514880336e-06, + "loss": 0.5022, + "step": 1932 + }, + { + "epoch": 1.8, + "learning_rate": 7.26792504945804e-06, + "loss": 0.4762, + "step": 1933 + }, + { + "epoch": 1.8, + "learning_rate": 7.2582465139015834e-06, + "loss": 0.4645, + "step": 1934 + }, + { + "epoch": 1.8, + "learning_rate": 7.248570754619062e-06, + "loss": 0.4978, + "step": 1935 + }, + { + "epoch": 1.8, + "learning_rate": 7.238897781408059e-06, + "loss": 0.4614, + "step": 1936 + }, + { + "epoch": 1.8, + "learning_rate": 7.2292276040633334e-06, + "loss": 0.4606, + "step": 1937 + }, + { + "epoch": 1.81, + "learning_rate": 7.219560232376821e-06, + "loss": 0.5022, + "step": 1938 + }, + { + "epoch": 1.81, + "learning_rate": 7.209895676137608e-06, + "loss": 0.4688, + "step": 1939 + }, + { + "epoch": 1.81, + "learning_rate": 7.2002339451319405e-06, + "loss": 0.4878, + "step": 1940 + }, + { + "epoch": 1.81, + "learning_rate": 7.1905750491431865e-06, + "loss": 0.4982, + "step": 1941 + }, + { + "epoch": 1.81, + "learning_rate": 7.18091899795186e-06, + "loss": 0.4904, + "step": 1942 + }, + { + "epoch": 1.81, + "learning_rate": 7.171265801335587e-06, + "loss": 0.4575, + "step": 1943 + }, + { + "epoch": 1.81, + "learning_rate": 7.1616154690691055e-06, + "loss": 0.4834, + "step": 1944 + }, + { + "epoch": 1.81, + "learning_rate": 7.1519680109242486e-06, + "loss": 0.4718, + "step": 1945 + }, + { + "epoch": 1.81, + "learning_rate": 7.142323436669946e-06, + "loss": 0.4763, + "step": 1946 + }, + { + "epoch": 1.81, + "learning_rate": 7.132681756072199e-06, + "loss": 0.4696, + "step": 1947 + }, + { + "epoch": 1.81, + "learning_rate": 7.123042978894088e-06, + "loss": 0.5006, + "step": 1948 + }, + { + "epoch": 1.82, + "learning_rate": 7.113407114895744e-06, + "loss": 0.4971, + "step": 1949 + }, + { + "epoch": 1.82, + "learning_rate": 7.103774173834356e-06, + "loss": 0.4906, + "step": 1950 + }, + { + "epoch": 1.82, + "learning_rate": 7.094144165464147e-06, + "loss": 0.467, + "step": 1951 + }, + { + "epoch": 1.82, + "learning_rate": 7.084517099536378e-06, + "loss": 0.4795, + "step": 1952 + }, + { + "epoch": 1.82, + "learning_rate": 7.0748929857993264e-06, + "loss": 0.4835, + "step": 1953 + }, + { + "epoch": 1.82, + "learning_rate": 7.065271833998272e-06, + "loss": 0.4806, + "step": 1954 + }, + { + "epoch": 1.82, + "learning_rate": 7.055653653875508e-06, + "loss": 0.4891, + "step": 1955 + }, + { + "epoch": 1.82, + "learning_rate": 7.046038455170313e-06, + "loss": 0.5035, + "step": 1956 + }, + { + "epoch": 1.82, + "learning_rate": 7.036426247618948e-06, + "loss": 0.486, + "step": 1957 + }, + { + "epoch": 1.82, + "learning_rate": 7.0268170409546444e-06, + "loss": 0.4801, + "step": 1958 + }, + { + "epoch": 1.82, + "learning_rate": 7.017210844907598e-06, + "loss": 0.4897, + "step": 1959 + }, + { + "epoch": 1.83, + "learning_rate": 7.007607669204946e-06, + "loss": 0.5162, + "step": 1960 + }, + { + "epoch": 1.83, + "learning_rate": 6.998007523570777e-06, + "loss": 0.4646, + "step": 1961 + }, + { + "epoch": 1.83, + "learning_rate": 6.988410417726113e-06, + "loss": 0.4651, + "step": 1962 + }, + { + "epoch": 1.83, + "learning_rate": 6.978816361388887e-06, + "loss": 0.5276, + "step": 1963 + }, + { + "epoch": 1.83, + "learning_rate": 6.969225364273955e-06, + "loss": 0.4771, + "step": 1964 + }, + { + "epoch": 1.83, + "learning_rate": 6.9596374360930695e-06, + "loss": 0.4946, + "step": 1965 + }, + { + "epoch": 1.83, + "learning_rate": 6.950052586554881e-06, + "loss": 0.5074, + "step": 1966 + }, + { + "epoch": 1.83, + "learning_rate": 6.940470825364911e-06, + "loss": 0.494, + "step": 1967 + }, + { + "epoch": 1.83, + "learning_rate": 6.930892162225565e-06, + "loss": 0.4598, + "step": 1968 + }, + { + "epoch": 1.83, + "learning_rate": 6.921316606836108e-06, + "loss": 0.4825, + "step": 1969 + }, + { + "epoch": 1.84, + "learning_rate": 6.911744168892658e-06, + "loss": 0.4907, + "step": 1970 + }, + { + "epoch": 1.84, + "learning_rate": 6.902174858088177e-06, + "loss": 0.4934, + "step": 1971 + }, + { + "epoch": 1.84, + "learning_rate": 6.892608684112456e-06, + "loss": 0.4568, + "step": 1972 + }, + { + "epoch": 1.84, + "learning_rate": 6.883045656652122e-06, + "loss": 0.4814, + "step": 1973 + }, + { + "epoch": 1.84, + "learning_rate": 6.873485785390595e-06, + "loss": 0.4926, + "step": 1974 + }, + { + "epoch": 1.84, + "learning_rate": 6.863929080008118e-06, + "loss": 0.4786, + "step": 1975 + }, + { + "epoch": 1.84, + "learning_rate": 6.85437555018172e-06, + "loss": 0.4696, + "step": 1976 + }, + { + "epoch": 1.84, + "learning_rate": 6.8448252055852175e-06, + "loss": 0.4827, + "step": 1977 + }, + { + "epoch": 1.84, + "learning_rate": 6.8352780558891975e-06, + "loss": 0.4896, + "step": 1978 + }, + { + "epoch": 1.84, + "learning_rate": 6.825734110761018e-06, + "loss": 0.48, + "step": 1979 + }, + { + "epoch": 1.84, + "learning_rate": 6.816193379864786e-06, + "loss": 0.4777, + "step": 1980 + }, + { + "epoch": 1.85, + "learning_rate": 6.806655872861357e-06, + "loss": 0.4755, + "step": 1981 + }, + { + "epoch": 1.85, + "learning_rate": 6.797121599408319e-06, + "loss": 0.4846, + "step": 1982 + }, + { + "epoch": 1.85, + "learning_rate": 6.787590569159992e-06, + "loss": 0.4767, + "step": 1983 + }, + { + "epoch": 1.85, + "learning_rate": 6.778062791767406e-06, + "loss": 0.4919, + "step": 1984 + }, + { + "epoch": 1.85, + "learning_rate": 6.7685382768783e-06, + "loss": 0.4949, + "step": 1985 + }, + { + "epoch": 1.85, + "learning_rate": 6.759017034137114e-06, + "loss": 0.476, + "step": 1986 + }, + { + "epoch": 1.85, + "learning_rate": 6.749499073184957e-06, + "loss": 0.4705, + "step": 1987 + }, + { + "epoch": 1.85, + "learning_rate": 6.739984403659636e-06, + "loss": 0.4795, + "step": 1988 + }, + { + "epoch": 1.85, + "learning_rate": 6.7304730351956145e-06, + "loss": 0.491, + "step": 1989 + }, + { + "epoch": 1.85, + "learning_rate": 6.720964977424014e-06, + "loss": 0.4659, + "step": 1990 + }, + { + "epoch": 1.85, + "learning_rate": 6.711460239972607e-06, + "loss": 0.4651, + "step": 1991 + }, + { + "epoch": 1.86, + "learning_rate": 6.7019588324658005e-06, + "loss": 0.4712, + "step": 1992 + }, + { + "epoch": 1.86, + "learning_rate": 6.6924607645246355e-06, + "loss": 0.47, + "step": 1993 + }, + { + "epoch": 1.86, + "learning_rate": 6.682966045766758e-06, + "loss": 0.4998, + "step": 1994 + }, + { + "epoch": 1.86, + "learning_rate": 6.673474685806436e-06, + "loss": 0.4847, + "step": 1995 + }, + { + "epoch": 1.86, + "learning_rate": 6.66398669425453e-06, + "loss": 0.4889, + "step": 1996 + }, + { + "epoch": 1.86, + "learning_rate": 6.654502080718494e-06, + "loss": 0.4747, + "step": 1997 + }, + { + "epoch": 1.86, + "learning_rate": 6.64502085480236e-06, + "loss": 0.4644, + "step": 1998 + }, + { + "epoch": 1.86, + "learning_rate": 6.6355430261067256e-06, + "loss": 0.4727, + "step": 1999 + }, + { + "epoch": 1.86, + "learning_rate": 6.626068604228752e-06, + "loss": 0.4896, + "step": 2000 + }, + { + "epoch": 1.86, + "learning_rate": 6.616597598762151e-06, + "loss": 0.4574, + "step": 2001 + }, + { + "epoch": 1.86, + "learning_rate": 6.607130019297174e-06, + "loss": 0.4983, + "step": 2002 + }, + { + "epoch": 1.87, + "learning_rate": 6.597665875420604e-06, + "loss": 0.4873, + "step": 2003 + }, + { + "epoch": 1.87, + "learning_rate": 6.588205176715743e-06, + "loss": 0.4763, + "step": 2004 + }, + { + "epoch": 1.87, + "learning_rate": 6.578747932762406e-06, + "loss": 0.5138, + "step": 2005 + }, + { + "epoch": 1.87, + "learning_rate": 6.5692941531369155e-06, + "loss": 0.4846, + "step": 2006 + }, + { + "epoch": 1.87, + "learning_rate": 6.559843847412073e-06, + "loss": 0.4865, + "step": 2007 + }, + { + "epoch": 1.87, + "learning_rate": 6.550397025157169e-06, + "loss": 0.469, + "step": 2008 + }, + { + "epoch": 1.87, + "learning_rate": 6.540953695937973e-06, + "loss": 0.4452, + "step": 2009 + }, + { + "epoch": 1.87, + "learning_rate": 6.531513869316708e-06, + "loss": 0.4847, + "step": 2010 + }, + { + "epoch": 1.87, + "learning_rate": 6.522077554852058e-06, + "loss": 0.4845, + "step": 2011 + }, + { + "epoch": 1.87, + "learning_rate": 6.512644762099143e-06, + "loss": 0.4667, + "step": 2012 + }, + { + "epoch": 1.88, + "learning_rate": 6.503215500609521e-06, + "loss": 0.4757, + "step": 2013 + }, + { + "epoch": 1.88, + "learning_rate": 6.493789779931177e-06, + "loss": 0.4844, + "step": 2014 + }, + { + "epoch": 1.88, + "learning_rate": 6.484367609608503e-06, + "loss": 0.4705, + "step": 2015 + }, + { + "epoch": 1.88, + "learning_rate": 6.474948999182304e-06, + "loss": 0.4861, + "step": 2016 + }, + { + "epoch": 1.88, + "learning_rate": 6.465533958189778e-06, + "loss": 0.4841, + "step": 2017 + }, + { + "epoch": 1.88, + "learning_rate": 6.456122496164503e-06, + "loss": 0.449, + "step": 2018 + }, + { + "epoch": 1.88, + "learning_rate": 6.446714622636442e-06, + "loss": 0.4863, + "step": 2019 + }, + { + "epoch": 1.88, + "learning_rate": 6.437310347131916e-06, + "loss": 0.4536, + "step": 2020 + }, + { + "epoch": 1.88, + "learning_rate": 6.427909679173607e-06, + "loss": 0.4846, + "step": 2021 + }, + { + "epoch": 1.88, + "learning_rate": 6.418512628280544e-06, + "loss": 0.4808, + "step": 2022 + }, + { + "epoch": 1.88, + "learning_rate": 6.409119203968095e-06, + "loss": 0.4944, + "step": 2023 + }, + { + "epoch": 1.89, + "learning_rate": 6.399729415747951e-06, + "loss": 0.5104, + "step": 2024 + }, + { + "epoch": 1.89, + "learning_rate": 6.390343273128123e-06, + "loss": 0.4779, + "step": 2025 + }, + { + "epoch": 1.89, + "learning_rate": 6.380960785612938e-06, + "loss": 0.4666, + "step": 2026 + }, + { + "epoch": 1.89, + "learning_rate": 6.3715819627030065e-06, + "loss": 0.4797, + "step": 2027 + }, + { + "epoch": 1.89, + "learning_rate": 6.362206813895238e-06, + "loss": 0.485, + "step": 2028 + }, + { + "epoch": 1.89, + "learning_rate": 6.352835348682824e-06, + "loss": 0.4637, + "step": 2029 + }, + { + "epoch": 1.89, + "learning_rate": 6.343467576555222e-06, + "loss": 0.4736, + "step": 2030 + }, + { + "epoch": 1.89, + "learning_rate": 6.3341035069981486e-06, + "loss": 0.4846, + "step": 2031 + }, + { + "epoch": 1.89, + "learning_rate": 6.3247431494935774e-06, + "loss": 0.4692, + "step": 2032 + }, + { + "epoch": 1.89, + "learning_rate": 6.3153865135197125e-06, + "loss": 0.4862, + "step": 2033 + }, + { + "epoch": 1.89, + "learning_rate": 6.3060336085509985e-06, + "loss": 0.457, + "step": 2034 + }, + { + "epoch": 1.9, + "learning_rate": 6.2966844440581e-06, + "loss": 0.4941, + "step": 2035 + }, + { + "epoch": 1.9, + "learning_rate": 6.287339029507894e-06, + "loss": 0.4955, + "step": 2036 + }, + { + "epoch": 1.9, + "learning_rate": 6.277997374363458e-06, + "loss": 0.4744, + "step": 2037 + }, + { + "epoch": 1.9, + "learning_rate": 6.268659488084068e-06, + "loss": 0.4696, + "step": 2038 + }, + { + "epoch": 1.9, + "learning_rate": 6.259325380125181e-06, + "loss": 0.504, + "step": 2039 + }, + { + "epoch": 1.9, + "learning_rate": 6.249995059938422e-06, + "loss": 0.5016, + "step": 2040 + }, + { + "epoch": 1.9, + "learning_rate": 6.240668536971588e-06, + "loss": 0.4612, + "step": 2041 + }, + { + "epoch": 1.9, + "learning_rate": 6.231345820668628e-06, + "loss": 0.4691, + "step": 2042 + }, + { + "epoch": 1.9, + "learning_rate": 6.22202692046964e-06, + "loss": 0.4651, + "step": 2043 + }, + { + "epoch": 1.9, + "learning_rate": 6.212711845810855e-06, + "loss": 0.4833, + "step": 2044 + }, + { + "epoch": 1.9, + "learning_rate": 6.2034006061246295e-06, + "loss": 0.5123, + "step": 2045 + }, + { + "epoch": 1.91, + "learning_rate": 6.194093210839438e-06, + "loss": 0.4816, + "step": 2046 + }, + { + "epoch": 1.91, + "learning_rate": 6.1847896693798606e-06, + "loss": 0.4506, + "step": 2047 + }, + { + "epoch": 1.91, + "learning_rate": 6.175489991166577e-06, + "loss": 0.4811, + "step": 2048 + }, + { + "epoch": 1.91, + "learning_rate": 6.166194185616356e-06, + "loss": 0.4747, + "step": 2049 + }, + { + "epoch": 1.91, + "learning_rate": 6.156902262142042e-06, + "loss": 0.4957, + "step": 2050 + }, + { + "epoch": 1.91, + "learning_rate": 6.147614230152548e-06, + "loss": 0.4866, + "step": 2051 + }, + { + "epoch": 1.91, + "learning_rate": 6.138330099052854e-06, + "loss": 0.4689, + "step": 2052 + }, + { + "epoch": 1.91, + "learning_rate": 6.129049878243978e-06, + "loss": 0.46, + "step": 2053 + }, + { + "epoch": 1.91, + "learning_rate": 6.119773577122986e-06, + "loss": 0.4801, + "step": 2054 + }, + { + "epoch": 1.91, + "learning_rate": 6.1105012050829756e-06, + "loss": 0.4985, + "step": 2055 + }, + { + "epoch": 1.92, + "learning_rate": 6.101232771513064e-06, + "loss": 0.4814, + "step": 2056 + }, + { + "epoch": 1.92, + "learning_rate": 6.09196828579838e-06, + "loss": 0.4856, + "step": 2057 + }, + { + "epoch": 1.92, + "learning_rate": 6.082707757320054e-06, + "loss": 0.4592, + "step": 2058 + }, + { + "epoch": 1.92, + "learning_rate": 6.073451195455216e-06, + "loss": 0.5095, + "step": 2059 + }, + { + "epoch": 1.92, + "learning_rate": 6.064198609576966e-06, + "loss": 0.4827, + "step": 2060 + }, + { + "epoch": 1.92, + "learning_rate": 6.054950009054389e-06, + "loss": 0.4998, + "step": 2061 + }, + { + "epoch": 1.92, + "learning_rate": 6.045705403252531e-06, + "loss": 0.4891, + "step": 2062 + }, + { + "epoch": 1.92, + "learning_rate": 6.036464801532396e-06, + "loss": 0.4858, + "step": 2063 + }, + { + "epoch": 1.92, + "learning_rate": 6.027228213250926e-06, + "loss": 0.4785, + "step": 2064 + }, + { + "epoch": 1.92, + "learning_rate": 6.0179956477610115e-06, + "loss": 0.4636, + "step": 2065 + }, + { + "epoch": 1.92, + "learning_rate": 6.008767114411455e-06, + "loss": 0.4801, + "step": 2066 + }, + { + "epoch": 1.93, + "learning_rate": 5.999542622546985e-06, + "loss": 0.4369, + "step": 2067 + }, + { + "epoch": 1.93, + "learning_rate": 5.990322181508235e-06, + "loss": 0.4733, + "step": 2068 + }, + { + "epoch": 1.93, + "learning_rate": 5.981105800631739e-06, + "loss": 0.4843, + "step": 2069 + }, + { + "epoch": 1.93, + "learning_rate": 5.971893489249918e-06, + "loss": 0.4681, + "step": 2070 + }, + { + "epoch": 1.93, + "learning_rate": 5.962685256691071e-06, + "loss": 0.4866, + "step": 2071 + }, + { + "epoch": 1.93, + "learning_rate": 5.953481112279373e-06, + "loss": 0.4595, + "step": 2072 + }, + { + "epoch": 1.93, + "learning_rate": 5.944281065334847e-06, + "loss": 0.481, + "step": 2073 + }, + { + "epoch": 1.93, + "learning_rate": 5.935085125173379e-06, + "loss": 0.4594, + "step": 2074 + }, + { + "epoch": 1.93, + "learning_rate": 5.9258933011066885e-06, + "loss": 0.4846, + "step": 2075 + }, + { + "epoch": 1.93, + "learning_rate": 5.916705602442334e-06, + "loss": 0.4669, + "step": 2076 + }, + { + "epoch": 1.93, + "learning_rate": 5.9075220384836925e-06, + "loss": 0.4901, + "step": 2077 + }, + { + "epoch": 1.94, + "learning_rate": 5.898342618529956e-06, + "loss": 0.4761, + "step": 2078 + }, + { + "epoch": 1.94, + "learning_rate": 5.8891673518761185e-06, + "loss": 0.4443, + "step": 2079 + }, + { + "epoch": 1.94, + "learning_rate": 5.879996247812969e-06, + "loss": 0.4601, + "step": 2080 + }, + { + "epoch": 1.94, + "learning_rate": 5.870829315627079e-06, + "loss": 0.4932, + "step": 2081 + }, + { + "epoch": 1.94, + "learning_rate": 5.861666564600801e-06, + "loss": 0.4823, + "step": 2082 + }, + { + "epoch": 1.94, + "learning_rate": 5.852508004012251e-06, + "loss": 0.4507, + "step": 2083 + }, + { + "epoch": 1.94, + "learning_rate": 5.843353643135301e-06, + "loss": 0.454, + "step": 2084 + }, + { + "epoch": 1.94, + "learning_rate": 5.834203491239574e-06, + "loss": 0.4849, + "step": 2085 + }, + { + "epoch": 1.94, + "learning_rate": 5.825057557590423e-06, + "loss": 0.4797, + "step": 2086 + }, + { + "epoch": 1.94, + "learning_rate": 5.815915851448939e-06, + "loss": 0.4828, + "step": 2087 + }, + { + "epoch": 1.95, + "learning_rate": 5.8067783820719256e-06, + "loss": 0.4763, + "step": 2088 + }, + { + "epoch": 1.95, + "learning_rate": 5.797645158711901e-06, + "loss": 0.481, + "step": 2089 + }, + { + "epoch": 1.95, + "learning_rate": 5.788516190617081e-06, + "loss": 0.4773, + "step": 2090 + }, + { + "epoch": 1.95, + "learning_rate": 5.779391487031372e-06, + "loss": 0.4617, + "step": 2091 + }, + { + "epoch": 1.95, + "learning_rate": 5.7702710571943695e-06, + "loss": 0.4634, + "step": 2092 + }, + { + "epoch": 1.95, + "learning_rate": 5.7611549103413264e-06, + "loss": 0.4891, + "step": 2093 + }, + { + "epoch": 1.95, + "learning_rate": 5.752043055703171e-06, + "loss": 0.4846, + "step": 2094 + }, + { + "epoch": 1.95, + "learning_rate": 5.742935502506485e-06, + "loss": 0.4574, + "step": 2095 + }, + { + "epoch": 1.95, + "learning_rate": 5.7338322599734885e-06, + "loss": 0.4576, + "step": 2096 + }, + { + "epoch": 1.95, + "learning_rate": 5.724733337322039e-06, + "loss": 0.4691, + "step": 2097 + }, + { + "epoch": 1.95, + "learning_rate": 5.715638743765629e-06, + "loss": 0.4883, + "step": 2098 + }, + { + "epoch": 1.96, + "learning_rate": 5.706548488513347e-06, + "loss": 0.4641, + "step": 2099 + }, + { + "epoch": 1.96, + "learning_rate": 5.697462580769906e-06, + "loss": 0.4985, + "step": 2100 + }, + { + "epoch": 1.96, + "learning_rate": 5.68838102973561e-06, + "loss": 0.4589, + "step": 2101 + }, + { + "epoch": 1.96, + "learning_rate": 5.679303844606354e-06, + "loss": 0.4856, + "step": 2102 + }, + { + "epoch": 1.96, + "learning_rate": 5.67023103457361e-06, + "loss": 0.4918, + "step": 2103 + }, + { + "epoch": 1.96, + "learning_rate": 5.66116260882442e-06, + "loss": 0.4772, + "step": 2104 + }, + { + "epoch": 1.96, + "learning_rate": 5.652098576541388e-06, + "loss": 0.4591, + "step": 2105 + }, + { + "epoch": 1.96, + "learning_rate": 5.643038946902668e-06, + "loss": 0.4919, + "step": 2106 + }, + { + "epoch": 1.96, + "learning_rate": 5.6339837290819576e-06, + "loss": 0.4719, + "step": 2107 + }, + { + "epoch": 1.96, + "learning_rate": 5.624932932248484e-06, + "loss": 0.481, + "step": 2108 + }, + { + "epoch": 1.96, + "learning_rate": 5.615886565566999e-06, + "loss": 0.4764, + "step": 2109 + }, + { + "epoch": 1.97, + "learning_rate": 5.60684463819777e-06, + "loss": 0.4675, + "step": 2110 + }, + { + "epoch": 1.97, + "learning_rate": 5.5978071592965685e-06, + "loss": 0.5035, + "step": 2111 + }, + { + "epoch": 1.97, + "learning_rate": 5.588774138014664e-06, + "loss": 0.4669, + "step": 2112 + }, + { + "epoch": 1.97, + "learning_rate": 5.579745583498802e-06, + "loss": 0.4663, + "step": 2113 + }, + { + "epoch": 1.97, + "learning_rate": 5.570721504891214e-06, + "loss": 0.4832, + "step": 2114 + }, + { + "epoch": 1.97, + "learning_rate": 5.561701911329602e-06, + "loss": 0.4691, + "step": 2115 + }, + { + "epoch": 1.97, + "learning_rate": 5.552686811947119e-06, + "loss": 0.4751, + "step": 2116 + }, + { + "epoch": 1.97, + "learning_rate": 5.543676215872371e-06, + "loss": 0.498, + "step": 2117 + }, + { + "epoch": 1.97, + "learning_rate": 5.534670132229408e-06, + "loss": 0.4728, + "step": 2118 + }, + { + "epoch": 1.97, + "learning_rate": 5.525668570137697e-06, + "loss": 0.4767, + "step": 2119 + }, + { + "epoch": 1.97, + "learning_rate": 5.51667153871214e-06, + "loss": 0.4811, + "step": 2120 + }, + { + "epoch": 1.98, + "learning_rate": 5.507679047063048e-06, + "loss": 0.5074, + "step": 2121 + }, + { + "epoch": 1.98, + "learning_rate": 5.498691104296131e-06, + "loss": 0.4618, + "step": 2122 + }, + { + "epoch": 1.98, + "learning_rate": 5.489707719512498e-06, + "loss": 0.4602, + "step": 2123 + }, + { + "epoch": 1.98, + "learning_rate": 5.480728901808641e-06, + "loss": 0.4741, + "step": 2124 + }, + { + "epoch": 1.98, + "learning_rate": 5.4717546602764285e-06, + "loss": 0.4906, + "step": 2125 + }, + { + "epoch": 1.98, + "learning_rate": 5.462785004003087e-06, + "loss": 0.4633, + "step": 2126 + }, + { + "epoch": 1.98, + "learning_rate": 5.453819942071212e-06, + "loss": 0.4819, + "step": 2127 + }, + { + "epoch": 1.98, + "learning_rate": 5.4448594835587375e-06, + "loss": 0.4977, + "step": 2128 + }, + { + "epoch": 1.98, + "learning_rate": 5.435903637538943e-06, + "loss": 0.4904, + "step": 2129 + }, + { + "epoch": 1.98, + "learning_rate": 5.426952413080434e-06, + "loss": 0.4474, + "step": 2130 + }, + { + "epoch": 1.99, + "learning_rate": 5.418005819247139e-06, + "loss": 0.5201, + "step": 2131 + }, + { + "epoch": 1.99, + "learning_rate": 5.40906386509829e-06, + "loss": 0.4612, + "step": 2132 + }, + { + "epoch": 1.99, + "learning_rate": 5.400126559688428e-06, + "loss": 0.4763, + "step": 2133 + }, + { + "epoch": 1.99, + "learning_rate": 5.391193912067386e-06, + "loss": 0.4331, + "step": 2134 + }, + { + "epoch": 1.99, + "learning_rate": 5.382265931280279e-06, + "loss": 0.474, + "step": 2135 + }, + { + "epoch": 1.99, + "learning_rate": 5.3733426263674955e-06, + "loss": 0.4681, + "step": 2136 + }, + { + "epoch": 1.99, + "learning_rate": 5.364424006364693e-06, + "loss": 0.4945, + "step": 2137 + }, + { + "epoch": 1.99, + "learning_rate": 5.355510080302781e-06, + "loss": 0.4869, + "step": 2138 + }, + { + "epoch": 1.99, + "learning_rate": 5.3466008572079184e-06, + "loss": 0.4509, + "step": 2139 + }, + { + "epoch": 1.99, + "learning_rate": 5.3376963461015015e-06, + "loss": 0.4857, + "step": 2140 + }, + { + "epoch": 1.99, + "learning_rate": 5.328796556000153e-06, + "loss": 0.4818, + "step": 2141 + }, + { + "epoch": 2.0, + "learning_rate": 5.31990149591572e-06, + "loss": 0.4814, + "step": 2142 + }, + { + "epoch": 2.0, + "learning_rate": 5.311011174855255e-06, + "loss": 0.4725, + "step": 2143 + }, + { + "epoch": 2.0, + "learning_rate": 5.302125601821015e-06, + "loss": 0.4852, + "step": 2144 + }, + { + "epoch": 2.0, + "learning_rate": 5.293244785810452e-06, + "loss": 0.4691, + "step": 2145 + }, + { + "epoch": 2.0, + "learning_rate": 5.284368735816188e-06, + "loss": 0.48, + "step": 2146 + }, + { + "epoch": 2.0, + "learning_rate": 5.2754974608260336e-06, + "loss": 0.4698, + "step": 2147 + }, + { + "epoch": 2.0, + "learning_rate": 5.266630969822958e-06, + "loss": 0.4071, + "step": 2148 + }, + { + "epoch": 2.0, + "learning_rate": 5.257769271785087e-06, + "loss": 0.4409, + "step": 2149 + }, + { + "epoch": 2.0, + "learning_rate": 5.2489123756856956e-06, + "loss": 0.4294, + "step": 2150 + }, + { + "epoch": 2.0, + "learning_rate": 5.240060290493194e-06, + "loss": 0.4359, + "step": 2151 + }, + { + "epoch": 2.0, + "learning_rate": 5.231213025171116e-06, + "loss": 0.4475, + "step": 2152 + }, + { + "epoch": 2.01, + "learning_rate": 5.2223705886781225e-06, + "loss": 0.4097, + "step": 2153 + }, + { + "epoch": 2.01, + "learning_rate": 5.213532989967982e-06, + "loss": 0.4391, + "step": 2154 + }, + { + "epoch": 2.01, + "learning_rate": 5.204700237989564e-06, + "loss": 0.4235, + "step": 2155 + }, + { + "epoch": 2.01, + "learning_rate": 5.195872341686832e-06, + "loss": 0.4265, + "step": 2156 + }, + { + "epoch": 2.01, + "learning_rate": 5.1870493099988285e-06, + "loss": 0.4252, + "step": 2157 + }, + { + "epoch": 2.01, + "learning_rate": 5.178231151859678e-06, + "loss": 0.4261, + "step": 2158 + }, + { + "epoch": 2.01, + "learning_rate": 5.169417876198559e-06, + "loss": 0.4257, + "step": 2159 + }, + { + "epoch": 2.01, + "learning_rate": 5.1606094919397144e-06, + "loss": 0.4098, + "step": 2160 + }, + { + "epoch": 2.01, + "learning_rate": 5.151806008002431e-06, + "loss": 0.4165, + "step": 2161 + }, + { + "epoch": 2.01, + "learning_rate": 5.1430074333010346e-06, + "loss": 0.426, + "step": 2162 + }, + { + "epoch": 2.01, + "learning_rate": 5.134213776744881e-06, + "loss": 0.45, + "step": 2163 + }, + { + "epoch": 2.02, + "learning_rate": 5.125425047238344e-06, + "loss": 0.4396, + "step": 2164 + }, + { + "epoch": 2.02, + "learning_rate": 5.116641253680812e-06, + "loss": 0.4342, + "step": 2165 + }, + { + "epoch": 2.02, + "learning_rate": 5.107862404966664e-06, + "loss": 0.4318, + "step": 2166 + }, + { + "epoch": 2.02, + "learning_rate": 5.099088509985286e-06, + "loss": 0.4344, + "step": 2167 + }, + { + "epoch": 2.02, + "learning_rate": 5.090319577621039e-06, + "loss": 0.4075, + "step": 2168 + }, + { + "epoch": 2.02, + "learning_rate": 5.081555616753264e-06, + "loss": 0.4125, + "step": 2169 + }, + { + "epoch": 2.02, + "learning_rate": 5.072796636256267e-06, + "loss": 0.4446, + "step": 2170 + }, + { + "epoch": 2.02, + "learning_rate": 5.064042644999308e-06, + "loss": 0.4109, + "step": 2171 + }, + { + "epoch": 2.02, + "learning_rate": 5.0552936518465955e-06, + "loss": 0.4327, + "step": 2172 + }, + { + "epoch": 2.02, + "learning_rate": 5.046549665657281e-06, + "loss": 0.4093, + "step": 2173 + }, + { + "epoch": 2.03, + "learning_rate": 5.0378106952854414e-06, + "loss": 0.411, + "step": 2174 + }, + { + "epoch": 2.03, + "learning_rate": 5.029076749580075e-06, + "loss": 0.4154, + "step": 2175 + }, + { + "epoch": 2.03, + "learning_rate": 5.020347837385096e-06, + "loss": 0.405, + "step": 2176 + }, + { + "epoch": 2.03, + "learning_rate": 5.011623967539318e-06, + "loss": 0.4017, + "step": 2177 + }, + { + "epoch": 2.03, + "learning_rate": 5.002905148876456e-06, + "loss": 0.3992, + "step": 2178 + }, + { + "epoch": 2.03, + "learning_rate": 4.994191390225093e-06, + "loss": 0.4315, + "step": 2179 + }, + { + "epoch": 2.03, + "learning_rate": 4.985482700408705e-06, + "loss": 0.3871, + "step": 2180 + }, + { + "epoch": 2.03, + "learning_rate": 4.97677908824563e-06, + "loss": 0.412, + "step": 2181 + }, + { + "epoch": 2.03, + "learning_rate": 4.968080562549065e-06, + "loss": 0.417, + "step": 2182 + }, + { + "epoch": 2.03, + "learning_rate": 4.959387132127054e-06, + "loss": 0.4146, + "step": 2183 + }, + { + "epoch": 2.03, + "learning_rate": 4.950698805782488e-06, + "loss": 0.4111, + "step": 2184 + }, + { + "epoch": 2.04, + "learning_rate": 4.942015592313079e-06, + "loss": 0.4218, + "step": 2185 + }, + { + "epoch": 2.04, + "learning_rate": 4.933337500511368e-06, + "loss": 0.4099, + "step": 2186 + }, + { + "epoch": 2.04, + "learning_rate": 4.924664539164713e-06, + "loss": 0.4221, + "step": 2187 + }, + { + "epoch": 2.04, + "learning_rate": 4.915996717055271e-06, + "loss": 0.4053, + "step": 2188 + }, + { + "epoch": 2.04, + "learning_rate": 4.907334042959999e-06, + "loss": 0.4427, + "step": 2189 + }, + { + "epoch": 2.04, + "learning_rate": 4.8986765256506395e-06, + "loss": 0.4377, + "step": 2190 + }, + { + "epoch": 2.04, + "learning_rate": 4.890024173893718e-06, + "loss": 0.4254, + "step": 2191 + }, + { + "epoch": 2.04, + "learning_rate": 4.881376996450516e-06, + "loss": 0.4517, + "step": 2192 + }, + { + "epoch": 2.04, + "learning_rate": 4.872735002077089e-06, + "loss": 0.4189, + "step": 2193 + }, + { + "epoch": 2.04, + "learning_rate": 4.864098199524241e-06, + "loss": 0.4175, + "step": 2194 + }, + { + "epoch": 2.04, + "learning_rate": 4.855466597537515e-06, + "loss": 0.4281, + "step": 2195 + }, + { + "epoch": 2.05, + "learning_rate": 4.84684020485719e-06, + "loss": 0.4283, + "step": 2196 + }, + { + "epoch": 2.05, + "learning_rate": 4.838219030218274e-06, + "loss": 0.4113, + "step": 2197 + }, + { + "epoch": 2.05, + "learning_rate": 4.829603082350489e-06, + "loss": 0.4149, + "step": 2198 + }, + { + "epoch": 2.05, + "learning_rate": 4.820992369978257e-06, + "loss": 0.4177, + "step": 2199 + }, + { + "epoch": 2.05, + "learning_rate": 4.812386901820708e-06, + "loss": 0.4045, + "step": 2200 + }, + { + "epoch": 2.05, + "learning_rate": 4.8037866865916574e-06, + "loss": 0.4229, + "step": 2201 + }, + { + "epoch": 2.05, + "learning_rate": 4.795191732999604e-06, + "loss": 0.4115, + "step": 2202 + }, + { + "epoch": 2.05, + "learning_rate": 4.786602049747718e-06, + "loss": 0.433, + "step": 2203 + }, + { + "epoch": 2.05, + "learning_rate": 4.77801764553383e-06, + "loss": 0.4187, + "step": 2204 + }, + { + "epoch": 2.05, + "learning_rate": 4.7694385290504306e-06, + "loss": 0.4207, + "step": 2205 + }, + { + "epoch": 2.05, + "learning_rate": 4.76086470898465e-06, + "loss": 0.4166, + "step": 2206 + }, + { + "epoch": 2.06, + "learning_rate": 4.75229619401826e-06, + "loss": 0.4093, + "step": 2207 + }, + { + "epoch": 2.06, + "learning_rate": 4.743732992827657e-06, + "loss": 0.424, + "step": 2208 + }, + { + "epoch": 2.06, + "learning_rate": 4.735175114083861e-06, + "loss": 0.4244, + "step": 2209 + }, + { + "epoch": 2.06, + "learning_rate": 4.726622566452498e-06, + "loss": 0.4373, + "step": 2210 + }, + { + "epoch": 2.06, + "learning_rate": 4.718075358593802e-06, + "loss": 0.4331, + "step": 2211 + }, + { + "epoch": 2.06, + "learning_rate": 4.709533499162589e-06, + "loss": 0.4064, + "step": 2212 + }, + { + "epoch": 2.06, + "learning_rate": 4.700996996808268e-06, + "loss": 0.4207, + "step": 2213 + }, + { + "epoch": 2.06, + "learning_rate": 4.6924658601748215e-06, + "loss": 0.4099, + "step": 2214 + }, + { + "epoch": 2.06, + "learning_rate": 4.683940097900801e-06, + "loss": 0.4171, + "step": 2215 + }, + { + "epoch": 2.06, + "learning_rate": 4.6754197186193114e-06, + "loss": 0.4279, + "step": 2216 + }, + { + "epoch": 2.07, + "learning_rate": 4.666904730958014e-06, + "loss": 0.422, + "step": 2217 + }, + { + "epoch": 2.07, + "learning_rate": 4.6583951435390975e-06, + "loss": 0.4083, + "step": 2218 + }, + { + "epoch": 2.07, + "learning_rate": 4.649890964979295e-06, + "loss": 0.4427, + "step": 2219 + }, + { + "epoch": 2.07, + "learning_rate": 4.641392203889857e-06, + "loss": 0.4042, + "step": 2220 + }, + { + "epoch": 2.07, + "learning_rate": 4.632898868876549e-06, + "loss": 0.4232, + "step": 2221 + }, + { + "epoch": 2.07, + "learning_rate": 4.6244109685396465e-06, + "loss": 0.3976, + "step": 2222 + }, + { + "epoch": 2.07, + "learning_rate": 4.615928511473914e-06, + "loss": 0.3989, + "step": 2223 + }, + { + "epoch": 2.07, + "learning_rate": 4.607451506268612e-06, + "loss": 0.4282, + "step": 2224 + }, + { + "epoch": 2.07, + "learning_rate": 4.598979961507472e-06, + "loss": 0.4254, + "step": 2225 + }, + { + "epoch": 2.07, + "learning_rate": 4.5905138857687025e-06, + "loss": 0.4236, + "step": 2226 + }, + { + "epoch": 2.07, + "learning_rate": 4.5820532876249725e-06, + "loss": 0.413, + "step": 2227 + }, + { + "epoch": 2.08, + "learning_rate": 4.573598175643406e-06, + "loss": 0.4426, + "step": 2228 + }, + { + "epoch": 2.08, + "learning_rate": 4.565148558385569e-06, + "loss": 0.4335, + "step": 2229 + }, + { + "epoch": 2.08, + "learning_rate": 4.556704444407466e-06, + "loss": 0.4104, + "step": 2230 + }, + { + "epoch": 2.08, + "learning_rate": 4.548265842259531e-06, + "loss": 0.421, + "step": 2231 + }, + { + "epoch": 2.08, + "learning_rate": 4.5398327604866056e-06, + "loss": 0.4176, + "step": 2232 + }, + { + "epoch": 2.08, + "learning_rate": 4.531405207627953e-06, + "loss": 0.4402, + "step": 2233 + }, + { + "epoch": 2.08, + "learning_rate": 4.522983192217237e-06, + "loss": 0.4235, + "step": 2234 + }, + { + "epoch": 2.08, + "learning_rate": 4.514566722782509e-06, + "loss": 0.4426, + "step": 2235 + }, + { + "epoch": 2.08, + "learning_rate": 4.5061558078462076e-06, + "loss": 0.4297, + "step": 2236 + }, + { + "epoch": 2.08, + "learning_rate": 4.497750455925147e-06, + "loss": 0.401, + "step": 2237 + }, + { + "epoch": 2.08, + "learning_rate": 4.489350675530508e-06, + "loss": 0.4229, + "step": 2238 + }, + { + "epoch": 2.09, + "learning_rate": 4.48095647516783e-06, + "loss": 0.4425, + "step": 2239 + }, + { + "epoch": 2.09, + "learning_rate": 4.4725678633370015e-06, + "loss": 0.4226, + "step": 2240 + }, + { + "epoch": 2.09, + "learning_rate": 4.464184848532251e-06, + "loss": 0.4221, + "step": 2241 + }, + { + "epoch": 2.09, + "learning_rate": 4.455807439242143e-06, + "loss": 0.4236, + "step": 2242 + }, + { + "epoch": 2.09, + "learning_rate": 4.4474356439495635e-06, + "loss": 0.4147, + "step": 2243 + }, + { + "epoch": 2.09, + "learning_rate": 4.439069471131717e-06, + "loss": 0.4065, + "step": 2244 + }, + { + "epoch": 2.09, + "learning_rate": 4.430708929260105e-06, + "loss": 0.4137, + "step": 2245 + }, + { + "epoch": 2.09, + "learning_rate": 4.422354026800536e-06, + "loss": 0.4047, + "step": 2246 + }, + { + "epoch": 2.09, + "learning_rate": 4.414004772213109e-06, + "loss": 0.4266, + "step": 2247 + }, + { + "epoch": 2.09, + "learning_rate": 4.4056611739521985e-06, + "loss": 0.4001, + "step": 2248 + }, + { + "epoch": 2.1, + "learning_rate": 4.397323240466455e-06, + "loss": 0.4105, + "step": 2249 + }, + { + "epoch": 2.1, + "learning_rate": 4.388990980198796e-06, + "loss": 0.4218, + "step": 2250 + }, + { + "epoch": 2.1, + "learning_rate": 4.380664401586382e-06, + "loss": 0.4393, + "step": 2251 + }, + { + "epoch": 2.1, + "learning_rate": 4.372343513060634e-06, + "loss": 0.4041, + "step": 2252 + }, + { + "epoch": 2.1, + "learning_rate": 4.364028323047205e-06, + "loss": 0.4238, + "step": 2253 + }, + { + "epoch": 2.1, + "learning_rate": 4.3557188399659775e-06, + "loss": 0.431, + "step": 2254 + }, + { + "epoch": 2.1, + "learning_rate": 4.3474150722310584e-06, + "loss": 0.4349, + "step": 2255 + }, + { + "epoch": 2.1, + "learning_rate": 4.339117028250763e-06, + "loss": 0.4167, + "step": 2256 + }, + { + "epoch": 2.1, + "learning_rate": 4.330824716427618e-06, + "loss": 0.4136, + "step": 2257 + }, + { + "epoch": 2.1, + "learning_rate": 4.322538145158334e-06, + "loss": 0.4152, + "step": 2258 + }, + { + "epoch": 2.1, + "learning_rate": 4.314257322833818e-06, + "loss": 0.4496, + "step": 2259 + }, + { + "epoch": 2.11, + "learning_rate": 4.305982257839154e-06, + "loss": 0.4384, + "step": 2260 + }, + { + "epoch": 2.11, + "learning_rate": 4.297712958553595e-06, + "loss": 0.4301, + "step": 2261 + }, + { + "epoch": 2.11, + "learning_rate": 4.2894494333505565e-06, + "loss": 0.4103, + "step": 2262 + }, + { + "epoch": 2.11, + "learning_rate": 4.281191690597607e-06, + "loss": 0.4104, + "step": 2263 + }, + { + "epoch": 2.11, + "learning_rate": 4.272939738656462e-06, + "loss": 0.4058, + "step": 2264 + }, + { + "epoch": 2.11, + "learning_rate": 4.264693585882965e-06, + "loss": 0.4336, + "step": 2265 + }, + { + "epoch": 2.11, + "learning_rate": 4.256453240627096e-06, + "loss": 0.4215, + "step": 2266 + }, + { + "epoch": 2.11, + "learning_rate": 4.248218711232952e-06, + "loss": 0.4332, + "step": 2267 + }, + { + "epoch": 2.11, + "learning_rate": 4.239990006038739e-06, + "loss": 0.4226, + "step": 2268 + }, + { + "epoch": 2.11, + "learning_rate": 4.2317671333767695e-06, + "loss": 0.4199, + "step": 2269 + }, + { + "epoch": 2.11, + "learning_rate": 4.2235501015734445e-06, + "loss": 0.402, + "step": 2270 + }, + { + "epoch": 2.12, + "learning_rate": 4.215338918949256e-06, + "loss": 0.4386, + "step": 2271 + }, + { + "epoch": 2.12, + "learning_rate": 4.207133593818769e-06, + "loss": 0.4313, + "step": 2272 + }, + { + "epoch": 2.12, + "learning_rate": 4.198934134490622e-06, + "loss": 0.4451, + "step": 2273 + }, + { + "epoch": 2.12, + "learning_rate": 4.1907405492675065e-06, + "loss": 0.4137, + "step": 2274 + }, + { + "epoch": 2.12, + "learning_rate": 4.182552846446173e-06, + "loss": 0.4275, + "step": 2275 + }, + { + "epoch": 2.12, + "learning_rate": 4.174371034317411e-06, + "loss": 0.4404, + "step": 2276 + }, + { + "epoch": 2.12, + "learning_rate": 4.166195121166054e-06, + "loss": 0.3856, + "step": 2277 + }, + { + "epoch": 2.12, + "learning_rate": 4.158025115270944e-06, + "loss": 0.4218, + "step": 2278 + }, + { + "epoch": 2.12, + "learning_rate": 4.149861024904957e-06, + "loss": 0.4248, + "step": 2279 + }, + { + "epoch": 2.12, + "learning_rate": 4.1417028583349775e-06, + "loss": 0.4313, + "step": 2280 + }, + { + "epoch": 2.12, + "learning_rate": 4.133550623821884e-06, + "loss": 0.4205, + "step": 2281 + }, + { + "epoch": 2.13, + "learning_rate": 4.125404329620557e-06, + "loss": 0.4089, + "step": 2282 + }, + { + "epoch": 2.13, + "learning_rate": 4.117263983979855e-06, + "loss": 0.4202, + "step": 2283 + }, + { + "epoch": 2.13, + "learning_rate": 4.109129595142623e-06, + "loss": 0.4373, + "step": 2284 + }, + { + "epoch": 2.13, + "learning_rate": 4.101001171345656e-06, + "loss": 0.4496, + "step": 2285 + }, + { + "epoch": 2.13, + "learning_rate": 4.092878720819724e-06, + "loss": 0.4292, + "step": 2286 + }, + { + "epoch": 2.13, + "learning_rate": 4.084762251789547e-06, + "loss": 0.4318, + "step": 2287 + }, + { + "epoch": 2.13, + "learning_rate": 4.076651772473783e-06, + "loss": 0.4056, + "step": 2288 + }, + { + "epoch": 2.13, + "learning_rate": 4.06854729108503e-06, + "loss": 0.4432, + "step": 2289 + }, + { + "epoch": 2.13, + "learning_rate": 4.060448815829811e-06, + "loss": 0.4039, + "step": 2290 + }, + { + "epoch": 2.13, + "learning_rate": 4.05235635490856e-06, + "loss": 0.4639, + "step": 2291 + }, + { + "epoch": 2.14, + "learning_rate": 4.044269916515631e-06, + "loss": 0.4404, + "step": 2292 + }, + { + "epoch": 2.14, + "learning_rate": 4.0361895088392776e-06, + "loss": 0.4065, + "step": 2293 + }, + { + "epoch": 2.14, + "learning_rate": 4.028115140061643e-06, + "loss": 0.4283, + "step": 2294 + }, + { + "epoch": 2.14, + "learning_rate": 4.0200468183587556e-06, + "loss": 0.4244, + "step": 2295 + }, + { + "epoch": 2.14, + "learning_rate": 4.011984551900528e-06, + "loss": 0.4104, + "step": 2296 + }, + { + "epoch": 2.14, + "learning_rate": 4.003928348850734e-06, + "loss": 0.4329, + "step": 2297 + }, + { + "epoch": 2.14, + "learning_rate": 3.995878217367005e-06, + "loss": 0.433, + "step": 2298 + }, + { + "epoch": 2.14, + "learning_rate": 3.987834165600832e-06, + "loss": 0.457, + "step": 2299 + }, + { + "epoch": 2.14, + "learning_rate": 3.9797962016975465e-06, + "loss": 0.4147, + "step": 2300 + }, + { + "epoch": 2.14, + "learning_rate": 3.971764333796316e-06, + "loss": 0.4452, + "step": 2301 + }, + { + "epoch": 2.14, + "learning_rate": 3.963738570030135e-06, + "loss": 0.4058, + "step": 2302 + }, + { + "epoch": 2.15, + "learning_rate": 3.955718918525815e-06, + "loss": 0.4285, + "step": 2303 + }, + { + "epoch": 2.15, + "learning_rate": 3.94770538740398e-06, + "loss": 0.4388, + "step": 2304 + }, + { + "epoch": 2.15, + "learning_rate": 3.93969798477906e-06, + "loss": 0.4191, + "step": 2305 + }, + { + "epoch": 2.15, + "learning_rate": 3.931696718759274e-06, + "loss": 0.4288, + "step": 2306 + }, + { + "epoch": 2.15, + "learning_rate": 3.923701597446628e-06, + "loss": 0.4329, + "step": 2307 + }, + { + "epoch": 2.15, + "learning_rate": 3.915712628936908e-06, + "loss": 0.4421, + "step": 2308 + }, + { + "epoch": 2.15, + "learning_rate": 3.90772982131967e-06, + "loss": 0.4346, + "step": 2309 + }, + { + "epoch": 2.15, + "learning_rate": 3.899753182678232e-06, + "loss": 0.4368, + "step": 2310 + }, + { + "epoch": 2.15, + "learning_rate": 3.891782721089658e-06, + "loss": 0.3988, + "step": 2311 + }, + { + "epoch": 2.15, + "learning_rate": 3.883818444624765e-06, + "loss": 0.4457, + "step": 2312 + }, + { + "epoch": 2.15, + "learning_rate": 3.875860361348106e-06, + "loss": 0.4325, + "step": 2313 + }, + { + "epoch": 2.16, + "learning_rate": 3.867908479317961e-06, + "loss": 0.403, + "step": 2314 + }, + { + "epoch": 2.16, + "learning_rate": 3.859962806586332e-06, + "loss": 0.4363, + "step": 2315 + }, + { + "epoch": 2.16, + "learning_rate": 3.852023351198933e-06, + "loss": 0.4323, + "step": 2316 + }, + { + "epoch": 2.16, + "learning_rate": 3.844090121195185e-06, + "loss": 0.4337, + "step": 2317 + }, + { + "epoch": 2.16, + "learning_rate": 3.8361631246081945e-06, + "loss": 0.4246, + "step": 2318 + }, + { + "epoch": 2.16, + "learning_rate": 3.828242369464769e-06, + "loss": 0.4412, + "step": 2319 + }, + { + "epoch": 2.16, + "learning_rate": 3.820327863785392e-06, + "loss": 0.4082, + "step": 2320 + }, + { + "epoch": 2.16, + "learning_rate": 3.8124196155842175e-06, + "loss": 0.4365, + "step": 2321 + }, + { + "epoch": 2.16, + "learning_rate": 3.8045176328690615e-06, + "loss": 0.4059, + "step": 2322 + }, + { + "epoch": 2.16, + "learning_rate": 3.7966219236414036e-06, + "loss": 0.4175, + "step": 2323 + }, + { + "epoch": 2.16, + "learning_rate": 3.788732495896358e-06, + "loss": 0.416, + "step": 2324 + }, + { + "epoch": 2.17, + "learning_rate": 3.7808493576226866e-06, + "loss": 0.432, + "step": 2325 + }, + { + "epoch": 2.17, + "learning_rate": 3.772972516802785e-06, + "loss": 0.4241, + "step": 2326 + }, + { + "epoch": 2.17, + "learning_rate": 3.7651019814126656e-06, + "loss": 0.4395, + "step": 2327 + }, + { + "epoch": 2.17, + "learning_rate": 3.75723775942196e-06, + "loss": 0.4443, + "step": 2328 + }, + { + "epoch": 2.17, + "learning_rate": 3.7493798587939067e-06, + "loss": 0.3901, + "step": 2329 + }, + { + "epoch": 2.17, + "learning_rate": 3.7415282874853443e-06, + "loss": 0.4276, + "step": 2330 + }, + { + "epoch": 2.17, + "learning_rate": 3.733683053446694e-06, + "loss": 0.4304, + "step": 2331 + }, + { + "epoch": 2.17, + "learning_rate": 3.72584416462197e-06, + "loss": 0.4098, + "step": 2332 + }, + { + "epoch": 2.17, + "learning_rate": 3.7180116289487587e-06, + "loss": 0.424, + "step": 2333 + }, + { + "epoch": 2.17, + "learning_rate": 3.7101854543582107e-06, + "loss": 0.4303, + "step": 2334 + }, + { + "epoch": 2.18, + "learning_rate": 3.702365648775039e-06, + "loss": 0.4054, + "step": 2335 + }, + { + "epoch": 2.18, + "learning_rate": 3.6945522201175043e-06, + "loss": 0.4358, + "step": 2336 + }, + { + "epoch": 2.18, + "learning_rate": 3.6867451762974117e-06, + "loss": 0.4316, + "step": 2337 + }, + { + "epoch": 2.18, + "learning_rate": 3.6789445252201008e-06, + "loss": 0.4224, + "step": 2338 + }, + { + "epoch": 2.18, + "learning_rate": 3.6711502747844384e-06, + "loss": 0.4231, + "step": 2339 + }, + { + "epoch": 2.18, + "learning_rate": 3.6633624328828087e-06, + "loss": 0.4332, + "step": 2340 + }, + { + "epoch": 2.18, + "learning_rate": 3.655581007401108e-06, + "loss": 0.4089, + "step": 2341 + }, + { + "epoch": 2.18, + "learning_rate": 3.647806006218735e-06, + "loss": 0.4027, + "step": 2342 + }, + { + "epoch": 2.18, + "learning_rate": 3.6400374372085866e-06, + "loss": 0.4249, + "step": 2343 + }, + { + "epoch": 2.18, + "learning_rate": 3.6322753082370364e-06, + "loss": 0.4125, + "step": 2344 + }, + { + "epoch": 2.18, + "learning_rate": 3.624519627163946e-06, + "loss": 0.4102, + "step": 2345 + }, + { + "epoch": 2.19, + "learning_rate": 3.6167704018426474e-06, + "loss": 0.4319, + "step": 2346 + }, + { + "epoch": 2.19, + "learning_rate": 3.609027640119932e-06, + "loss": 0.4016, + "step": 2347 + }, + { + "epoch": 2.19, + "learning_rate": 3.601291349836049e-06, + "loss": 0.4357, + "step": 2348 + }, + { + "epoch": 2.19, + "learning_rate": 3.5935615388246927e-06, + "loss": 0.4124, + "step": 2349 + }, + { + "epoch": 2.19, + "learning_rate": 3.585838214913001e-06, + "loss": 0.4423, + "step": 2350 + }, + { + "epoch": 2.19, + "learning_rate": 3.5781213859215334e-06, + "loss": 0.4237, + "step": 2351 + }, + { + "epoch": 2.19, + "learning_rate": 3.5704110596642815e-06, + "loss": 0.4419, + "step": 2352 + }, + { + "epoch": 2.19, + "learning_rate": 3.5627072439486497e-06, + "loss": 0.4296, + "step": 2353 + }, + { + "epoch": 2.19, + "learning_rate": 3.5550099465754493e-06, + "loss": 0.3984, + "step": 2354 + }, + { + "epoch": 2.19, + "learning_rate": 3.5473191753388925e-06, + "loss": 0.4274, + "step": 2355 + }, + { + "epoch": 2.19, + "learning_rate": 3.539634938026585e-06, + "loss": 0.4338, + "step": 2356 + }, + { + "epoch": 2.2, + "learning_rate": 3.5319572424195082e-06, + "loss": 0.4275, + "step": 2357 + }, + { + "epoch": 2.2, + "learning_rate": 3.5242860962920254e-06, + "loss": 0.4448, + "step": 2358 + }, + { + "epoch": 2.2, + "learning_rate": 3.5166215074118703e-06, + "loss": 0.4197, + "step": 2359 + }, + { + "epoch": 2.2, + "learning_rate": 3.508963483540132e-06, + "loss": 0.4247, + "step": 2360 + }, + { + "epoch": 2.2, + "learning_rate": 3.5013120324312544e-06, + "loss": 0.4166, + "step": 2361 + }, + { + "epoch": 2.2, + "learning_rate": 3.4936671618330263e-06, + "loss": 0.4174, + "step": 2362 + }, + { + "epoch": 2.2, + "learning_rate": 3.4860288794865747e-06, + "loss": 0.4447, + "step": 2363 + }, + { + "epoch": 2.2, + "learning_rate": 3.478397193126346e-06, + "loss": 0.4319, + "step": 2364 + }, + { + "epoch": 2.2, + "learning_rate": 3.4707721104801175e-06, + "loss": 0.4219, + "step": 2365 + }, + { + "epoch": 2.2, + "learning_rate": 3.463153639268977e-06, + "loss": 0.42, + "step": 2366 + }, + { + "epoch": 2.2, + "learning_rate": 3.4555417872073184e-06, + "loss": 0.4091, + "step": 2367 + }, + { + "epoch": 2.21, + "learning_rate": 3.4479365620028294e-06, + "loss": 0.4259, + "step": 2368 + }, + { + "epoch": 2.21, + "learning_rate": 3.440337971356492e-06, + "loss": 0.4159, + "step": 2369 + }, + { + "epoch": 2.21, + "learning_rate": 3.4327460229625666e-06, + "loss": 0.424, + "step": 2370 + }, + { + "epoch": 2.21, + "learning_rate": 3.4251607245085904e-06, + "loss": 0.4026, + "step": 2371 + }, + { + "epoch": 2.21, + "learning_rate": 3.417582083675365e-06, + "loss": 0.438, + "step": 2372 + }, + { + "epoch": 2.21, + "learning_rate": 3.4100101081369498e-06, + "loss": 0.4337, + "step": 2373 + }, + { + "epoch": 2.21, + "learning_rate": 3.4024448055606596e-06, + "loss": 0.4491, + "step": 2374 + }, + { + "epoch": 2.21, + "learning_rate": 3.3948861836070468e-06, + "loss": 0.4136, + "step": 2375 + }, + { + "epoch": 2.21, + "learning_rate": 3.3873342499299043e-06, + "loss": 0.4261, + "step": 2376 + }, + { + "epoch": 2.21, + "learning_rate": 3.3797890121762444e-06, + "loss": 0.4037, + "step": 2377 + }, + { + "epoch": 2.22, + "learning_rate": 3.3722504779863065e-06, + "loss": 0.4214, + "step": 2378 + }, + { + "epoch": 2.22, + "learning_rate": 3.3647186549935407e-06, + "loss": 0.4211, + "step": 2379 + }, + { + "epoch": 2.22, + "learning_rate": 3.3571935508245988e-06, + "loss": 0.4312, + "step": 2380 + }, + { + "epoch": 2.22, + "learning_rate": 3.3496751730993327e-06, + "loss": 0.3885, + "step": 2381 + }, + { + "epoch": 2.22, + "learning_rate": 3.3421635294307807e-06, + "loss": 0.4388, + "step": 2382 + }, + { + "epoch": 2.22, + "learning_rate": 3.334658627425167e-06, + "loss": 0.422, + "step": 2383 + }, + { + "epoch": 2.22, + "learning_rate": 3.3271604746818764e-06, + "loss": 0.4338, + "step": 2384 + }, + { + "epoch": 2.22, + "learning_rate": 3.319669078793474e-06, + "loss": 0.3994, + "step": 2385 + }, + { + "epoch": 2.22, + "learning_rate": 3.3121844473456757e-06, + "loss": 0.4242, + "step": 2386 + }, + { + "epoch": 2.22, + "learning_rate": 3.304706587917349e-06, + "loss": 0.4026, + "step": 2387 + }, + { + "epoch": 2.22, + "learning_rate": 3.2972355080805063e-06, + "loss": 0.4335, + "step": 2388 + }, + { + "epoch": 2.23, + "learning_rate": 3.2897712154002948e-06, + "loss": 0.4464, + "step": 2389 + }, + { + "epoch": 2.23, + "learning_rate": 3.2823137174349806e-06, + "loss": 0.4149, + "step": 2390 + }, + { + "epoch": 2.23, + "learning_rate": 3.2748630217359613e-06, + "loss": 0.4005, + "step": 2391 + }, + { + "epoch": 2.23, + "learning_rate": 3.2674191358477414e-06, + "loss": 0.408, + "step": 2392 + }, + { + "epoch": 2.23, + "learning_rate": 3.2599820673079286e-06, + "loss": 0.431, + "step": 2393 + }, + { + "epoch": 2.23, + "learning_rate": 3.2525518236472296e-06, + "loss": 0.4294, + "step": 2394 + }, + { + "epoch": 2.23, + "learning_rate": 3.24512841238944e-06, + "loss": 0.4044, + "step": 2395 + }, + { + "epoch": 2.23, + "learning_rate": 3.2377118410514407e-06, + "loss": 0.4136, + "step": 2396 + }, + { + "epoch": 2.23, + "learning_rate": 3.2303021171431737e-06, + "loss": 0.4254, + "step": 2397 + }, + { + "epoch": 2.23, + "learning_rate": 3.222899248167661e-06, + "loss": 0.4075, + "step": 2398 + }, + { + "epoch": 2.23, + "learning_rate": 3.2155032416209787e-06, + "loss": 0.4244, + "step": 2399 + }, + { + "epoch": 2.24, + "learning_rate": 3.2081141049922535e-06, + "loss": 0.4221, + "step": 2400 + }, + { + "epoch": 2.24, + "learning_rate": 3.2007318457636547e-06, + "loss": 0.4332, + "step": 2401 + }, + { + "epoch": 2.24, + "learning_rate": 3.1933564714103917e-06, + "loss": 0.4146, + "step": 2402 + }, + { + "epoch": 2.24, + "learning_rate": 3.185987989400696e-06, + "loss": 0.4266, + "step": 2403 + }, + { + "epoch": 2.24, + "learning_rate": 3.1786264071958274e-06, + "loss": 0.4148, + "step": 2404 + }, + { + "epoch": 2.24, + "learning_rate": 3.1712717322500517e-06, + "loss": 0.4182, + "step": 2405 + }, + { + "epoch": 2.24, + "learning_rate": 3.1639239720106464e-06, + "loss": 0.4254, + "step": 2406 + }, + { + "epoch": 2.24, + "learning_rate": 3.1565831339178844e-06, + "loss": 0.4094, + "step": 2407 + }, + { + "epoch": 2.24, + "learning_rate": 3.1492492254050313e-06, + "loss": 0.41, + "step": 2408 + }, + { + "epoch": 2.24, + "learning_rate": 3.1419222538983298e-06, + "loss": 0.4319, + "step": 2409 + }, + { + "epoch": 2.24, + "learning_rate": 3.134602226817005e-06, + "loss": 0.4169, + "step": 2410 + }, + { + "epoch": 2.25, + "learning_rate": 3.127289151573247e-06, + "loss": 0.4058, + "step": 2411 + }, + { + "epoch": 2.25, + "learning_rate": 3.1199830355722095e-06, + "loss": 0.3894, + "step": 2412 + }, + { + "epoch": 2.25, + "learning_rate": 3.112683886211996e-06, + "loss": 0.4213, + "step": 2413 + }, + { + "epoch": 2.25, + "learning_rate": 3.1053917108836563e-06, + "loss": 0.4147, + "step": 2414 + }, + { + "epoch": 2.25, + "learning_rate": 3.09810651697118e-06, + "loss": 0.4153, + "step": 2415 + }, + { + "epoch": 2.25, + "learning_rate": 3.090828311851489e-06, + "loss": 0.402, + "step": 2416 + }, + { + "epoch": 2.25, + "learning_rate": 3.083557102894419e-06, + "loss": 0.4152, + "step": 2417 + }, + { + "epoch": 2.25, + "learning_rate": 3.0762928974627325e-06, + "loss": 0.4388, + "step": 2418 + }, + { + "epoch": 2.25, + "learning_rate": 3.0690357029120955e-06, + "loss": 0.4257, + "step": 2419 + }, + { + "epoch": 2.25, + "learning_rate": 3.0617855265910734e-06, + "loss": 0.4171, + "step": 2420 + }, + { + "epoch": 2.26, + "learning_rate": 3.0545423758411298e-06, + "loss": 0.437, + "step": 2421 + }, + { + "epoch": 2.26, + "learning_rate": 3.047306257996614e-06, + "loss": 0.4192, + "step": 2422 + }, + { + "epoch": 2.26, + "learning_rate": 3.040077180384743e-06, + "loss": 0.4575, + "step": 2423 + }, + { + "epoch": 2.26, + "learning_rate": 3.032855150325619e-06, + "loss": 0.4196, + "step": 2424 + }, + { + "epoch": 2.26, + "learning_rate": 3.0256401751321994e-06, + "loss": 0.4009, + "step": 2425 + }, + { + "epoch": 2.26, + "learning_rate": 3.0184322621103024e-06, + "loss": 0.3933, + "step": 2426 + }, + { + "epoch": 2.26, + "learning_rate": 3.0112314185585923e-06, + "loss": 0.4158, + "step": 2427 + }, + { + "epoch": 2.26, + "learning_rate": 3.0040376517685764e-06, + "loss": 0.416, + "step": 2428 + }, + { + "epoch": 2.26, + "learning_rate": 2.9968509690245995e-06, + "loss": 0.4495, + "step": 2429 + }, + { + "epoch": 2.26, + "learning_rate": 2.989671377603822e-06, + "loss": 0.4041, + "step": 2430 + }, + { + "epoch": 2.26, + "learning_rate": 2.982498884776235e-06, + "loss": 0.4364, + "step": 2431 + }, + { + "epoch": 2.27, + "learning_rate": 2.975333497804637e-06, + "loss": 0.413, + "step": 2432 + }, + { + "epoch": 2.27, + "learning_rate": 2.9681752239446317e-06, + "loss": 0.4355, + "step": 2433 + }, + { + "epoch": 2.27, + "learning_rate": 2.9610240704446203e-06, + "loss": 0.4351, + "step": 2434 + }, + { + "epoch": 2.27, + "learning_rate": 2.953880044545795e-06, + "loss": 0.4021, + "step": 2435 + }, + { + "epoch": 2.27, + "learning_rate": 2.946743153482128e-06, + "loss": 0.4286, + "step": 2436 + }, + { + "epoch": 2.27, + "learning_rate": 2.9396134044803694e-06, + "loss": 0.4265, + "step": 2437 + }, + { + "epoch": 2.27, + "learning_rate": 2.9324908047600363e-06, + "loss": 0.4131, + "step": 2438 + }, + { + "epoch": 2.27, + "learning_rate": 2.925375361533409e-06, + "loss": 0.4275, + "step": 2439 + }, + { + "epoch": 2.27, + "learning_rate": 2.9182670820055136e-06, + "loss": 0.4384, + "step": 2440 + }, + { + "epoch": 2.27, + "learning_rate": 2.9111659733741305e-06, + "loss": 0.4191, + "step": 2441 + }, + { + "epoch": 2.27, + "learning_rate": 2.9040720428297754e-06, + "loss": 0.4276, + "step": 2442 + }, + { + "epoch": 2.28, + "learning_rate": 2.8969852975556954e-06, + "loss": 0.4333, + "step": 2443 + }, + { + "epoch": 2.28, + "learning_rate": 2.889905744727863e-06, + "loss": 0.4266, + "step": 2444 + }, + { + "epoch": 2.28, + "learning_rate": 2.8828333915149675e-06, + "loss": 0.4409, + "step": 2445 + }, + { + "epoch": 2.28, + "learning_rate": 2.8757682450784073e-06, + "loss": 0.4395, + "step": 2446 + }, + { + "epoch": 2.28, + "learning_rate": 2.868710312572285e-06, + "loss": 0.4513, + "step": 2447 + }, + { + "epoch": 2.28, + "learning_rate": 2.8616596011433937e-06, + "loss": 0.4008, + "step": 2448 + }, + { + "epoch": 2.28, + "learning_rate": 2.8546161179312247e-06, + "loss": 0.4312, + "step": 2449 + }, + { + "epoch": 2.28, + "learning_rate": 2.8475798700679347e-06, + "loss": 0.4182, + "step": 2450 + }, + { + "epoch": 2.28, + "learning_rate": 2.8405508646783654e-06, + "loss": 0.4281, + "step": 2451 + }, + { + "epoch": 2.28, + "learning_rate": 2.8335291088800234e-06, + "loss": 0.4172, + "step": 2452 + }, + { + "epoch": 2.29, + "learning_rate": 2.826514609783072e-06, + "loss": 0.3909, + "step": 2453 + }, + { + "epoch": 2.29, + "learning_rate": 2.819507374490328e-06, + "loss": 0.4153, + "step": 2454 + }, + { + "epoch": 2.29, + "learning_rate": 2.8125074100972514e-06, + "loss": 0.4194, + "step": 2455 + }, + { + "epoch": 2.29, + "learning_rate": 2.8055147236919444e-06, + "loss": 0.4362, + "step": 2456 + }, + { + "epoch": 2.29, + "learning_rate": 2.798529322355129e-06, + "loss": 0.4014, + "step": 2457 + }, + { + "epoch": 2.29, + "learning_rate": 2.7915512131601617e-06, + "loss": 0.4274, + "step": 2458 + }, + { + "epoch": 2.29, + "learning_rate": 2.7845804031730096e-06, + "loss": 0.4102, + "step": 2459 + }, + { + "epoch": 2.29, + "learning_rate": 2.777616899452249e-06, + "loss": 0.4274, + "step": 2460 + }, + { + "epoch": 2.29, + "learning_rate": 2.770660709049061e-06, + "loss": 0.4026, + "step": 2461 + }, + { + "epoch": 2.29, + "learning_rate": 2.7637118390072194e-06, + "loss": 0.4453, + "step": 2462 + }, + { + "epoch": 2.29, + "learning_rate": 2.7567702963630805e-06, + "loss": 0.4008, + "step": 2463 + }, + { + "epoch": 2.3, + "learning_rate": 2.7498360881455876e-06, + "loss": 0.4143, + "step": 2464 + }, + { + "epoch": 2.3, + "learning_rate": 2.7429092213762553e-06, + "loss": 0.4163, + "step": 2465 + }, + { + "epoch": 2.3, + "learning_rate": 2.735989703069165e-06, + "loss": 0.4157, + "step": 2466 + }, + { + "epoch": 2.3, + "learning_rate": 2.7290775402309542e-06, + "loss": 0.428, + "step": 2467 + }, + { + "epoch": 2.3, + "learning_rate": 2.7221727398608166e-06, + "loss": 0.4243, + "step": 2468 + }, + { + "epoch": 2.3, + "learning_rate": 2.715275308950488e-06, + "loss": 0.4312, + "step": 2469 + }, + { + "epoch": 2.3, + "learning_rate": 2.708385254484244e-06, + "loss": 0.4451, + "step": 2470 + }, + { + "epoch": 2.3, + "learning_rate": 2.7015025834388842e-06, + "loss": 0.4242, + "step": 2471 + }, + { + "epoch": 2.3, + "learning_rate": 2.69462730278374e-06, + "loss": 0.406, + "step": 2472 + }, + { + "epoch": 2.3, + "learning_rate": 2.6877594194806567e-06, + "loss": 0.4573, + "step": 2473 + }, + { + "epoch": 2.3, + "learning_rate": 2.680898940483988e-06, + "loss": 0.4342, + "step": 2474 + }, + { + "epoch": 2.31, + "learning_rate": 2.6740458727405907e-06, + "loss": 0.4343, + "step": 2475 + }, + { + "epoch": 2.31, + "learning_rate": 2.6672002231898177e-06, + "loss": 0.4392, + "step": 2476 + }, + { + "epoch": 2.31, + "learning_rate": 2.6603619987635087e-06, + "loss": 0.4203, + "step": 2477 + }, + { + "epoch": 2.31, + "learning_rate": 2.6535312063859874e-06, + "loss": 0.415, + "step": 2478 + }, + { + "epoch": 2.31, + "learning_rate": 2.6467078529740486e-06, + "loss": 0.4453, + "step": 2479 + }, + { + "epoch": 2.31, + "learning_rate": 2.6398919454369566e-06, + "loss": 0.4413, + "step": 2480 + }, + { + "epoch": 2.31, + "learning_rate": 2.633083490676437e-06, + "loss": 0.4111, + "step": 2481 + }, + { + "epoch": 2.31, + "learning_rate": 2.6262824955866684e-06, + "loss": 0.41, + "step": 2482 + }, + { + "epoch": 2.31, + "learning_rate": 2.6194889670542702e-06, + "loss": 0.422, + "step": 2483 + }, + { + "epoch": 2.31, + "learning_rate": 2.612702911958308e-06, + "loss": 0.4303, + "step": 2484 + }, + { + "epoch": 2.31, + "learning_rate": 2.605924337170278e-06, + "loss": 0.4182, + "step": 2485 + }, + { + "epoch": 2.32, + "learning_rate": 2.5991532495541016e-06, + "loss": 0.4286, + "step": 2486 + }, + { + "epoch": 2.32, + "learning_rate": 2.592389655966119e-06, + "loss": 0.4363, + "step": 2487 + }, + { + "epoch": 2.32, + "learning_rate": 2.585633563255082e-06, + "loss": 0.3917, + "step": 2488 + }, + { + "epoch": 2.32, + "learning_rate": 2.5788849782621494e-06, + "loss": 0.4396, + "step": 2489 + }, + { + "epoch": 2.32, + "learning_rate": 2.5721439078208686e-06, + "loss": 0.4246, + "step": 2490 + }, + { + "epoch": 2.32, + "learning_rate": 2.5654103587571887e-06, + "loss": 0.4576, + "step": 2491 + }, + { + "epoch": 2.32, + "learning_rate": 2.558684337889439e-06, + "loss": 0.4003, + "step": 2492 + }, + { + "epoch": 2.32, + "learning_rate": 2.551965852028323e-06, + "loss": 0.4219, + "step": 2493 + }, + { + "epoch": 2.32, + "learning_rate": 2.5452549079769195e-06, + "loss": 0.4264, + "step": 2494 + }, + { + "epoch": 2.32, + "learning_rate": 2.5385515125306683e-06, + "loss": 0.4158, + "step": 2495 + }, + { + "epoch": 2.33, + "learning_rate": 2.5318556724773602e-06, + "loss": 0.4248, + "step": 2496 + }, + { + "epoch": 2.33, + "learning_rate": 2.525167394597142e-06, + "loss": 0.4149, + "step": 2497 + }, + { + "epoch": 2.33, + "learning_rate": 2.518486685662502e-06, + "loss": 0.406, + "step": 2498 + }, + { + "epoch": 2.33, + "learning_rate": 2.511813552438265e-06, + "loss": 0.4125, + "step": 2499 + }, + { + "epoch": 2.33, + "learning_rate": 2.5051480016815823e-06, + "loss": 0.418, + "step": 2500 + }, + { + "epoch": 2.33, + "learning_rate": 2.4984900401419265e-06, + "loss": 0.4058, + "step": 2501 + }, + { + "epoch": 2.33, + "learning_rate": 2.4918396745610917e-06, + "loss": 0.4137, + "step": 2502 + }, + { + "epoch": 2.33, + "learning_rate": 2.4851969116731712e-06, + "loss": 0.3995, + "step": 2503 + }, + { + "epoch": 2.33, + "learning_rate": 2.478561758204565e-06, + "loss": 0.4308, + "step": 2504 + }, + { + "epoch": 2.33, + "learning_rate": 2.4719342208739695e-06, + "loss": 0.4421, + "step": 2505 + }, + { + "epoch": 2.33, + "learning_rate": 2.4653143063923647e-06, + "loss": 0.4171, + "step": 2506 + }, + { + "epoch": 2.34, + "learning_rate": 2.4587020214630165e-06, + "loss": 0.423, + "step": 2507 + }, + { + "epoch": 2.34, + "learning_rate": 2.4520973727814624e-06, + "loss": 0.4025, + "step": 2508 + }, + { + "epoch": 2.34, + "learning_rate": 2.445500367035506e-06, + "loss": 0.4337, + "step": 2509 + }, + { + "epoch": 2.34, + "learning_rate": 2.438911010905216e-06, + "loss": 0.4182, + "step": 2510 + }, + { + "epoch": 2.34, + "learning_rate": 2.432329311062911e-06, + "loss": 0.4321, + "step": 2511 + }, + { + "epoch": 2.34, + "learning_rate": 2.4257552741731593e-06, + "loss": 0.4205, + "step": 2512 + }, + { + "epoch": 2.34, + "learning_rate": 2.4191889068927688e-06, + "loss": 0.4015, + "step": 2513 + }, + { + "epoch": 2.34, + "learning_rate": 2.4126302158707825e-06, + "loss": 0.4017, + "step": 2514 + }, + { + "epoch": 2.34, + "learning_rate": 2.406079207748473e-06, + "loss": 0.4181, + "step": 2515 + }, + { + "epoch": 2.34, + "learning_rate": 2.399535889159321e-06, + "loss": 0.45, + "step": 2516 + }, + { + "epoch": 2.34, + "learning_rate": 2.3930002667290363e-06, + "loss": 0.4198, + "step": 2517 + }, + { + "epoch": 2.35, + "learning_rate": 2.386472347075527e-06, + "loss": 0.4053, + "step": 2518 + }, + { + "epoch": 2.35, + "learning_rate": 2.379952136808903e-06, + "loss": 0.4363, + "step": 2519 + }, + { + "epoch": 2.35, + "learning_rate": 2.37343964253147e-06, + "loss": 0.4463, + "step": 2520 + }, + { + "epoch": 2.35, + "learning_rate": 2.366934870837717e-06, + "loss": 0.4221, + "step": 2521 + }, + { + "epoch": 2.35, + "learning_rate": 2.3604378283143194e-06, + "loss": 0.4175, + "step": 2522 + }, + { + "epoch": 2.35, + "learning_rate": 2.353948521540115e-06, + "loss": 0.4407, + "step": 2523 + }, + { + "epoch": 2.35, + "learning_rate": 2.3474669570861185e-06, + "loss": 0.3888, + "step": 2524 + }, + { + "epoch": 2.35, + "learning_rate": 2.3409931415155006e-06, + "loss": 0.4202, + "step": 2525 + }, + { + "epoch": 2.35, + "learning_rate": 2.3345270813835883e-06, + "loss": 0.424, + "step": 2526 + }, + { + "epoch": 2.35, + "learning_rate": 2.3280687832378512e-06, + "loss": 0.4148, + "step": 2527 + }, + { + "epoch": 2.35, + "learning_rate": 2.3216182536179054e-06, + "loss": 0.4357, + "step": 2528 + }, + { + "epoch": 2.36, + "learning_rate": 2.315175499055492e-06, + "loss": 0.423, + "step": 2529 + }, + { + "epoch": 2.36, + "learning_rate": 2.3087405260744854e-06, + "loss": 0.4187, + "step": 2530 + }, + { + "epoch": 2.36, + "learning_rate": 2.3023133411908805e-06, + "loss": 0.4222, + "step": 2531 + }, + { + "epoch": 2.36, + "learning_rate": 2.295893950912784e-06, + "loss": 0.4242, + "step": 2532 + }, + { + "epoch": 2.36, + "learning_rate": 2.2894823617404107e-06, + "loss": 0.4298, + "step": 2533 + }, + { + "epoch": 2.36, + "learning_rate": 2.283078580166074e-06, + "loss": 0.433, + "step": 2534 + }, + { + "epoch": 2.36, + "learning_rate": 2.276682612674188e-06, + "loss": 0.4437, + "step": 2535 + }, + { + "epoch": 2.36, + "learning_rate": 2.270294465741244e-06, + "loss": 0.4229, + "step": 2536 + }, + { + "epoch": 2.36, + "learning_rate": 2.263914145835823e-06, + "loss": 0.4034, + "step": 2537 + }, + { + "epoch": 2.36, + "learning_rate": 2.257541659418574e-06, + "loss": 0.4095, + "step": 2538 + }, + { + "epoch": 2.37, + "learning_rate": 2.2511770129422206e-06, + "loss": 0.4346, + "step": 2539 + }, + { + "epoch": 2.37, + "learning_rate": 2.244820212851544e-06, + "loss": 0.4418, + "step": 2540 + }, + { + "epoch": 2.37, + "learning_rate": 2.2384712655833784e-06, + "loss": 0.4335, + "step": 2541 + }, + { + "epoch": 2.37, + "learning_rate": 2.2321301775666103e-06, + "loss": 0.4266, + "step": 2542 + }, + { + "epoch": 2.37, + "learning_rate": 2.2257969552221657e-06, + "loss": 0.4384, + "step": 2543 + }, + { + "epoch": 2.37, + "learning_rate": 2.219471604963006e-06, + "loss": 0.4292, + "step": 2544 + }, + { + "epoch": 2.37, + "learning_rate": 2.213154133194122e-06, + "loss": 0.4409, + "step": 2545 + }, + { + "epoch": 2.37, + "learning_rate": 2.2068445463125253e-06, + "loss": 0.4121, + "step": 2546 + }, + { + "epoch": 2.37, + "learning_rate": 2.200542850707247e-06, + "loss": 0.4181, + "step": 2547 + }, + { + "epoch": 2.37, + "learning_rate": 2.1942490527593254e-06, + "loss": 0.4347, + "step": 2548 + }, + { + "epoch": 2.37, + "learning_rate": 2.187963158841797e-06, + "loss": 0.4247, + "step": 2549 + }, + { + "epoch": 2.38, + "learning_rate": 2.1816851753197023e-06, + "loss": 0.4349, + "step": 2550 + }, + { + "epoch": 2.38, + "learning_rate": 2.1754151085500684e-06, + "loss": 0.4504, + "step": 2551 + }, + { + "epoch": 2.38, + "learning_rate": 2.1691529648819065e-06, + "loss": 0.4056, + "step": 2552 + }, + { + "epoch": 2.38, + "learning_rate": 2.1628987506562036e-06, + "loss": 0.4153, + "step": 2553 + }, + { + "epoch": 2.38, + "learning_rate": 2.15665247220592e-06, + "loss": 0.4089, + "step": 2554 + }, + { + "epoch": 2.38, + "learning_rate": 2.1504141358559818e-06, + "loss": 0.4247, + "step": 2555 + }, + { + "epoch": 2.38, + "learning_rate": 2.144183747923262e-06, + "loss": 0.427, + "step": 2556 + }, + { + "epoch": 2.38, + "learning_rate": 2.1379613147165977e-06, + "loss": 0.4106, + "step": 2557 + }, + { + "epoch": 2.38, + "learning_rate": 2.131746842536767e-06, + "loss": 0.4252, + "step": 2558 + }, + { + "epoch": 2.38, + "learning_rate": 2.125540337676486e-06, + "loss": 0.4194, + "step": 2559 + }, + { + "epoch": 2.38, + "learning_rate": 2.119341806420402e-06, + "loss": 0.4159, + "step": 2560 + }, + { + "epoch": 2.39, + "learning_rate": 2.113151255045095e-06, + "loss": 0.4043, + "step": 2561 + }, + { + "epoch": 2.39, + "learning_rate": 2.106968689819051e-06, + "loss": 0.427, + "step": 2562 + }, + { + "epoch": 2.39, + "learning_rate": 2.1007941170026834e-06, + "loss": 0.4155, + "step": 2563 + }, + { + "epoch": 2.39, + "learning_rate": 2.094627542848305e-06, + "loss": 0.442, + "step": 2564 + }, + { + "epoch": 2.39, + "learning_rate": 2.0884689736001317e-06, + "loss": 0.4309, + "step": 2565 + }, + { + "epoch": 2.39, + "learning_rate": 2.0823184154942733e-06, + "loss": 0.4275, + "step": 2566 + }, + { + "epoch": 2.39, + "learning_rate": 2.076175874758728e-06, + "loss": 0.4414, + "step": 2567 + }, + { + "epoch": 2.39, + "learning_rate": 2.070041357613376e-06, + "loss": 0.4313, + "step": 2568 + }, + { + "epoch": 2.39, + "learning_rate": 2.0639148702699674e-06, + "loss": 0.4369, + "step": 2569 + }, + { + "epoch": 2.39, + "learning_rate": 2.0577964189321288e-06, + "loss": 0.4111, + "step": 2570 + }, + { + "epoch": 2.39, + "learning_rate": 2.051686009795347e-06, + "loss": 0.4128, + "step": 2571 + }, + { + "epoch": 2.4, + "learning_rate": 2.045583649046965e-06, + "loss": 0.4078, + "step": 2572 + }, + { + "epoch": 2.4, + "learning_rate": 2.0394893428661765e-06, + "loss": 0.4238, + "step": 2573 + }, + { + "epoch": 2.4, + "learning_rate": 2.0334030974240183e-06, + "loss": 0.4092, + "step": 2574 + }, + { + "epoch": 2.4, + "learning_rate": 2.0273249188833656e-06, + "loss": 0.4077, + "step": 2575 + }, + { + "epoch": 2.4, + "learning_rate": 2.021254813398926e-06, + "loss": 0.4076, + "step": 2576 + }, + { + "epoch": 2.4, + "learning_rate": 2.0151927871172306e-06, + "loss": 0.4434, + "step": 2577 + }, + { + "epoch": 2.4, + "learning_rate": 2.0091388461766314e-06, + "loss": 0.4272, + "step": 2578 + }, + { + "epoch": 2.4, + "learning_rate": 2.003092996707292e-06, + "loss": 0.4412, + "step": 2579 + }, + { + "epoch": 2.4, + "learning_rate": 1.9970552448311818e-06, + "loss": 0.3904, + "step": 2580 + }, + { + "epoch": 2.4, + "learning_rate": 1.9910255966620763e-06, + "loss": 0.425, + "step": 2581 + }, + { + "epoch": 2.41, + "learning_rate": 1.985004058305535e-06, + "loss": 0.3917, + "step": 2582 + }, + { + "epoch": 2.41, + "learning_rate": 1.978990635858914e-06, + "loss": 0.4052, + "step": 2583 + }, + { + "epoch": 2.41, + "learning_rate": 1.9729853354113483e-06, + "loss": 0.4137, + "step": 2584 + }, + { + "epoch": 2.41, + "learning_rate": 1.9669881630437483e-06, + "loss": 0.4323, + "step": 2585 + }, + { + "epoch": 2.41, + "learning_rate": 1.9609991248287965e-06, + "loss": 0.4147, + "step": 2586 + }, + { + "epoch": 2.41, + "learning_rate": 1.955018226830935e-06, + "loss": 0.423, + "step": 2587 + }, + { + "epoch": 2.41, + "learning_rate": 1.9490454751063693e-06, + "loss": 0.4114, + "step": 2588 + }, + { + "epoch": 2.41, + "learning_rate": 1.9430808757030452e-06, + "loss": 0.4132, + "step": 2589 + }, + { + "epoch": 2.41, + "learning_rate": 1.9371244346606645e-06, + "loss": 0.4259, + "step": 2590 + }, + { + "epoch": 2.41, + "learning_rate": 1.9311761580106637e-06, + "loss": 0.4266, + "step": 2591 + }, + { + "epoch": 2.41, + "learning_rate": 1.9252360517762102e-06, + "loss": 0.4275, + "step": 2592 + }, + { + "epoch": 2.42, + "learning_rate": 1.919304121972202e-06, + "loss": 0.4301, + "step": 2593 + }, + { + "epoch": 2.42, + "learning_rate": 1.913380374605257e-06, + "loss": 0.4392, + "step": 2594 + }, + { + "epoch": 2.42, + "learning_rate": 1.907464815673702e-06, + "loss": 0.401, + "step": 2595 + }, + { + "epoch": 2.42, + "learning_rate": 1.9015574511675783e-06, + "loss": 0.4237, + "step": 2596 + }, + { + "epoch": 2.42, + "learning_rate": 1.895658287068629e-06, + "loss": 0.4203, + "step": 2597 + }, + { + "epoch": 2.42, + "learning_rate": 1.8897673293502916e-06, + "loss": 0.4214, + "step": 2598 + }, + { + "epoch": 2.42, + "learning_rate": 1.8838845839776954e-06, + "loss": 0.3966, + "step": 2599 + }, + { + "epoch": 2.42, + "learning_rate": 1.878010056907653e-06, + "loss": 0.4073, + "step": 2600 + }, + { + "epoch": 2.42, + "learning_rate": 1.8721437540886589e-06, + "loss": 0.4384, + "step": 2601 + }, + { + "epoch": 2.42, + "learning_rate": 1.866285681460871e-06, + "loss": 0.4097, + "step": 2602 + }, + { + "epoch": 2.42, + "learning_rate": 1.860435844956121e-06, + "loss": 0.449, + "step": 2603 + }, + { + "epoch": 2.43, + "learning_rate": 1.8545942504978975e-06, + "loss": 0.4158, + "step": 2604 + }, + { + "epoch": 2.43, + "learning_rate": 1.8487609040013466e-06, + "loss": 0.4395, + "step": 2605 + }, + { + "epoch": 2.43, + "learning_rate": 1.8429358113732598e-06, + "loss": 0.4229, + "step": 2606 + }, + { + "epoch": 2.43, + "learning_rate": 1.8371189785120714e-06, + "loss": 0.4303, + "step": 2607 + }, + { + "epoch": 2.43, + "learning_rate": 1.8313104113078506e-06, + "loss": 0.4475, + "step": 2608 + }, + { + "epoch": 2.43, + "learning_rate": 1.8255101156422995e-06, + "loss": 0.4237, + "step": 2609 + }, + { + "epoch": 2.43, + "learning_rate": 1.819718097388743e-06, + "loss": 0.4247, + "step": 2610 + }, + { + "epoch": 2.43, + "learning_rate": 1.8139343624121241e-06, + "loss": 0.4265, + "step": 2611 + }, + { + "epoch": 2.43, + "learning_rate": 1.8081589165690005e-06, + "loss": 0.4326, + "step": 2612 + }, + { + "epoch": 2.43, + "learning_rate": 1.802391765707533e-06, + "loss": 0.4015, + "step": 2613 + }, + { + "epoch": 2.44, + "learning_rate": 1.7966329156674867e-06, + "loss": 0.4336, + "step": 2614 + }, + { + "epoch": 2.44, + "learning_rate": 1.790882372280216e-06, + "loss": 0.4329, + "step": 2615 + }, + { + "epoch": 2.44, + "learning_rate": 1.7851401413686686e-06, + "loss": 0.438, + "step": 2616 + }, + { + "epoch": 2.44, + "learning_rate": 1.7794062287473734e-06, + "loss": 0.4146, + "step": 2617 + }, + { + "epoch": 2.44, + "learning_rate": 1.7736806402224382e-06, + "loss": 0.3936, + "step": 2618 + }, + { + "epoch": 2.44, + "learning_rate": 1.7679633815915397e-06, + "loss": 0.4203, + "step": 2619 + }, + { + "epoch": 2.44, + "learning_rate": 1.7622544586439193e-06, + "loss": 0.427, + "step": 2620 + }, + { + "epoch": 2.44, + "learning_rate": 1.7565538771603841e-06, + "loss": 0.4307, + "step": 2621 + }, + { + "epoch": 2.44, + "learning_rate": 1.750861642913282e-06, + "loss": 0.4113, + "step": 2622 + }, + { + "epoch": 2.44, + "learning_rate": 1.74517776166652e-06, + "loss": 0.428, + "step": 2623 + }, + { + "epoch": 2.44, + "learning_rate": 1.7395022391755433e-06, + "loss": 0.4467, + "step": 2624 + }, + { + "epoch": 2.45, + "learning_rate": 1.7338350811873316e-06, + "loss": 0.4146, + "step": 2625 + }, + { + "epoch": 2.45, + "learning_rate": 1.7281762934403967e-06, + "loss": 0.427, + "step": 2626 + }, + { + "epoch": 2.45, + "learning_rate": 1.722525881664775e-06, + "loss": 0.4323, + "step": 2627 + }, + { + "epoch": 2.45, + "learning_rate": 1.716883851582023e-06, + "loss": 0.4266, + "step": 2628 + }, + { + "epoch": 2.45, + "learning_rate": 1.7112502089052009e-06, + "loss": 0.4086, + "step": 2629 + }, + { + "epoch": 2.45, + "learning_rate": 1.7056249593388863e-06, + "loss": 0.4281, + "step": 2630 + }, + { + "epoch": 2.45, + "learning_rate": 1.7000081085791541e-06, + "loss": 0.4167, + "step": 2631 + }, + { + "epoch": 2.45, + "learning_rate": 1.6943996623135761e-06, + "loss": 0.421, + "step": 2632 + }, + { + "epoch": 2.45, + "learning_rate": 1.6887996262212102e-06, + "loss": 0.4326, + "step": 2633 + }, + { + "epoch": 2.45, + "learning_rate": 1.683208005972604e-06, + "loss": 0.4469, + "step": 2634 + }, + { + "epoch": 2.45, + "learning_rate": 1.6776248072297762e-06, + "loss": 0.4089, + "step": 2635 + }, + { + "epoch": 2.46, + "learning_rate": 1.6720500356462221e-06, + "loss": 0.4371, + "step": 2636 + }, + { + "epoch": 2.46, + "learning_rate": 1.6664836968669041e-06, + "loss": 0.3944, + "step": 2637 + }, + { + "epoch": 2.46, + "learning_rate": 1.6609257965282456e-06, + "loss": 0.4139, + "step": 2638 + }, + { + "epoch": 2.46, + "learning_rate": 1.6553763402581236e-06, + "loss": 0.4026, + "step": 2639 + }, + { + "epoch": 2.46, + "learning_rate": 1.6498353336758654e-06, + "loss": 0.4069, + "step": 2640 + }, + { + "epoch": 2.46, + "learning_rate": 1.644302782392243e-06, + "loss": 0.4523, + "step": 2641 + }, + { + "epoch": 2.46, + "learning_rate": 1.638778692009465e-06, + "loss": 0.4026, + "step": 2642 + }, + { + "epoch": 2.46, + "learning_rate": 1.6332630681211759e-06, + "loss": 0.4186, + "step": 2643 + }, + { + "epoch": 2.46, + "learning_rate": 1.6277559163124424e-06, + "loss": 0.4131, + "step": 2644 + }, + { + "epoch": 2.46, + "learning_rate": 1.622257242159756e-06, + "loss": 0.4379, + "step": 2645 + }, + { + "epoch": 2.46, + "learning_rate": 1.6167670512310229e-06, + "loss": 0.4299, + "step": 2646 + }, + { + "epoch": 2.47, + "learning_rate": 1.6112853490855618e-06, + "loss": 0.4332, + "step": 2647 + }, + { + "epoch": 2.47, + "learning_rate": 1.6058121412740878e-06, + "loss": 0.4128, + "step": 2648 + }, + { + "epoch": 2.47, + "learning_rate": 1.6003474333387214e-06, + "loss": 0.4137, + "step": 2649 + }, + { + "epoch": 2.47, + "learning_rate": 1.594891230812976e-06, + "loss": 0.4347, + "step": 2650 + }, + { + "epoch": 2.47, + "learning_rate": 1.5894435392217512e-06, + "loss": 0.4113, + "step": 2651 + }, + { + "epoch": 2.47, + "learning_rate": 1.5840043640813274e-06, + "loss": 0.413, + "step": 2652 + }, + { + "epoch": 2.47, + "learning_rate": 1.5785737108993636e-06, + "loss": 0.4137, + "step": 2653 + }, + { + "epoch": 2.47, + "learning_rate": 1.5731515851748901e-06, + "loss": 0.4303, + "step": 2654 + }, + { + "epoch": 2.47, + "learning_rate": 1.567737992398296e-06, + "loss": 0.4132, + "step": 2655 + }, + { + "epoch": 2.47, + "learning_rate": 1.5623329380513386e-06, + "loss": 0.4286, + "step": 2656 + }, + { + "epoch": 2.48, + "learning_rate": 1.5569364276071231e-06, + "loss": 0.4136, + "step": 2657 + }, + { + "epoch": 2.48, + "learning_rate": 1.5515484665301062e-06, + "loss": 0.418, + "step": 2658 + }, + { + "epoch": 2.48, + "learning_rate": 1.5461690602760882e-06, + "loss": 0.3882, + "step": 2659 + }, + { + "epoch": 2.48, + "learning_rate": 1.540798214292204e-06, + "loss": 0.4475, + "step": 2660 + }, + { + "epoch": 2.48, + "learning_rate": 1.5354359340169244e-06, + "loss": 0.4104, + "step": 2661 + }, + { + "epoch": 2.48, + "learning_rate": 1.5300822248800406e-06, + "loss": 0.4207, + "step": 2662 + }, + { + "epoch": 2.48, + "learning_rate": 1.5247370923026706e-06, + "loss": 0.4478, + "step": 2663 + }, + { + "epoch": 2.48, + "learning_rate": 1.5194005416972457e-06, + "loss": 0.4266, + "step": 2664 + }, + { + "epoch": 2.48, + "learning_rate": 1.514072578467506e-06, + "loss": 0.4088, + "step": 2665 + }, + { + "epoch": 2.48, + "learning_rate": 1.5087532080084976e-06, + "loss": 0.422, + "step": 2666 + }, + { + "epoch": 2.48, + "learning_rate": 1.503442435706568e-06, + "loss": 0.4227, + "step": 2667 + }, + { + "epoch": 2.49, + "learning_rate": 1.4981402669393507e-06, + "loss": 0.4191, + "step": 2668 + }, + { + "epoch": 2.49, + "learning_rate": 1.4928467070757746e-06, + "loss": 0.4199, + "step": 2669 + }, + { + "epoch": 2.49, + "learning_rate": 1.4875617614760495e-06, + "loss": 0.4316, + "step": 2670 + }, + { + "epoch": 2.49, + "learning_rate": 1.4822854354916605e-06, + "loss": 0.4459, + "step": 2671 + }, + { + "epoch": 2.49, + "learning_rate": 1.477017734465368e-06, + "loss": 0.407, + "step": 2672 + }, + { + "epoch": 2.49, + "learning_rate": 1.4717586637311943e-06, + "loss": 0.4363, + "step": 2673 + }, + { + "epoch": 2.49, + "learning_rate": 1.4665082286144272e-06, + "loss": 0.4337, + "step": 2674 + }, + { + "epoch": 2.49, + "learning_rate": 1.4612664344316074e-06, + "loss": 0.443, + "step": 2675 + }, + { + "epoch": 2.49, + "learning_rate": 1.456033286490527e-06, + "loss": 0.4282, + "step": 2676 + }, + { + "epoch": 2.49, + "learning_rate": 1.4508087900902211e-06, + "loss": 0.4401, + "step": 2677 + }, + { + "epoch": 2.49, + "learning_rate": 1.4455929505209687e-06, + "loss": 0.4495, + "step": 2678 + }, + { + "epoch": 2.5, + "learning_rate": 1.440385773064278e-06, + "loss": 0.3954, + "step": 2679 + }, + { + "epoch": 2.5, + "learning_rate": 1.435187262992891e-06, + "loss": 0.4088, + "step": 2680 + }, + { + "epoch": 2.5, + "learning_rate": 1.4299974255707661e-06, + "loss": 0.41, + "step": 2681 + }, + { + "epoch": 2.5, + "learning_rate": 1.4248162660530861e-06, + "loss": 0.4183, + "step": 2682 + }, + { + "epoch": 2.5, + "learning_rate": 1.4196437896862448e-06, + "loss": 0.4297, + "step": 2683 + }, + { + "epoch": 2.5, + "learning_rate": 1.4144800017078431e-06, + "loss": 0.432, + "step": 2684 + }, + { + "epoch": 2.5, + "learning_rate": 1.4093249073466853e-06, + "loss": 0.4208, + "step": 2685 + }, + { + "epoch": 2.5, + "learning_rate": 1.4041785118227702e-06, + "loss": 0.417, + "step": 2686 + }, + { + "epoch": 2.5, + "learning_rate": 1.3990408203472938e-06, + "loss": 0.4117, + "step": 2687 + }, + { + "epoch": 2.5, + "learning_rate": 1.393911838122629e-06, + "loss": 0.4651, + "step": 2688 + }, + { + "epoch": 2.5, + "learning_rate": 1.3887915703423371e-06, + "loss": 0.4203, + "step": 2689 + }, + { + "epoch": 2.51, + "learning_rate": 1.3836800221911539e-06, + "loss": 0.4081, + "step": 2690 + }, + { + "epoch": 2.51, + "learning_rate": 1.3785771988449847e-06, + "loss": 0.4125, + "step": 2691 + }, + { + "epoch": 2.51, + "learning_rate": 1.373483105470902e-06, + "loss": 0.4072, + "step": 2692 + }, + { + "epoch": 2.51, + "learning_rate": 1.368397747227136e-06, + "loss": 0.4106, + "step": 2693 + }, + { + "epoch": 2.51, + "learning_rate": 1.3633211292630743e-06, + "loss": 0.4091, + "step": 2694 + }, + { + "epoch": 2.51, + "learning_rate": 1.3582532567192509e-06, + "loss": 0.3911, + "step": 2695 + }, + { + "epoch": 2.51, + "learning_rate": 1.3531941347273458e-06, + "loss": 0.4296, + "step": 2696 + }, + { + "epoch": 2.51, + "learning_rate": 1.3481437684101795e-06, + "loss": 0.4111, + "step": 2697 + }, + { + "epoch": 2.51, + "learning_rate": 1.3431021628817066e-06, + "loss": 0.4019, + "step": 2698 + }, + { + "epoch": 2.51, + "learning_rate": 1.3380693232470087e-06, + "loss": 0.4208, + "step": 2699 + }, + { + "epoch": 2.52, + "learning_rate": 1.3330452546022942e-06, + "loss": 0.4042, + "step": 2700 + }, + { + "epoch": 2.52, + "learning_rate": 1.3280299620348847e-06, + "loss": 0.4164, + "step": 2701 + }, + { + "epoch": 2.52, + "learning_rate": 1.3230234506232198e-06, + "loss": 0.4111, + "step": 2702 + }, + { + "epoch": 2.52, + "learning_rate": 1.3180257254368456e-06, + "loss": 0.4258, + "step": 2703 + }, + { + "epoch": 2.52, + "learning_rate": 1.3130367915364127e-06, + "loss": 0.4215, + "step": 2704 + }, + { + "epoch": 2.52, + "learning_rate": 1.3080566539736695e-06, + "loss": 0.4142, + "step": 2705 + }, + { + "epoch": 2.52, + "learning_rate": 1.303085317791456e-06, + "loss": 0.4363, + "step": 2706 + }, + { + "epoch": 2.52, + "learning_rate": 1.2981227880237002e-06, + "loss": 0.415, + "step": 2707 + }, + { + "epoch": 2.52, + "learning_rate": 1.2931690696954135e-06, + "loss": 0.4336, + "step": 2708 + }, + { + "epoch": 2.52, + "learning_rate": 1.288224167822686e-06, + "loss": 0.4469, + "step": 2709 + }, + { + "epoch": 2.52, + "learning_rate": 1.2832880874126784e-06, + "loss": 0.4066, + "step": 2710 + }, + { + "epoch": 2.53, + "learning_rate": 1.2783608334636188e-06, + "loss": 0.4159, + "step": 2711 + }, + { + "epoch": 2.53, + "learning_rate": 1.2734424109647992e-06, + "loss": 0.4254, + "step": 2712 + }, + { + "epoch": 2.53, + "learning_rate": 1.26853282489657e-06, + "loss": 0.3867, + "step": 2713 + }, + { + "epoch": 2.53, + "learning_rate": 1.2636320802303281e-06, + "loss": 0.4385, + "step": 2714 + }, + { + "epoch": 2.53, + "learning_rate": 1.258740181928524e-06, + "loss": 0.4015, + "step": 2715 + }, + { + "epoch": 2.53, + "learning_rate": 1.253857134944647e-06, + "loss": 0.4338, + "step": 2716 + }, + { + "epoch": 2.53, + "learning_rate": 1.248982944223226e-06, + "loss": 0.4354, + "step": 2717 + }, + { + "epoch": 2.53, + "learning_rate": 1.2441176146998212e-06, + "loss": 0.4203, + "step": 2718 + }, + { + "epoch": 2.53, + "learning_rate": 1.239261151301019e-06, + "loss": 0.4106, + "step": 2719 + }, + { + "epoch": 2.53, + "learning_rate": 1.2344135589444316e-06, + "loss": 0.4011, + "step": 2720 + }, + { + "epoch": 2.53, + "learning_rate": 1.229574842538681e-06, + "loss": 0.437, + "step": 2721 + }, + { + "epoch": 2.54, + "learning_rate": 1.2247450069834077e-06, + "loss": 0.4155, + "step": 2722 + }, + { + "epoch": 2.54, + "learning_rate": 1.2199240571692582e-06, + "loss": 0.4453, + "step": 2723 + }, + { + "epoch": 2.54, + "learning_rate": 1.2151119979778824e-06, + "loss": 0.4375, + "step": 2724 + }, + { + "epoch": 2.54, + "learning_rate": 1.2103088342819258e-06, + "loss": 0.4049, + "step": 2725 + }, + { + "epoch": 2.54, + "learning_rate": 1.2055145709450267e-06, + "loss": 0.4233, + "step": 2726 + }, + { + "epoch": 2.54, + "learning_rate": 1.2007292128218128e-06, + "loss": 0.4082, + "step": 2727 + }, + { + "epoch": 2.54, + "learning_rate": 1.1959527647578895e-06, + "loss": 0.422, + "step": 2728 + }, + { + "epoch": 2.54, + "learning_rate": 1.1911852315898465e-06, + "loss": 0.3933, + "step": 2729 + }, + { + "epoch": 2.54, + "learning_rate": 1.1864266181452422e-06, + "loss": 0.4031, + "step": 2730 + }, + { + "epoch": 2.54, + "learning_rate": 1.1816769292426033e-06, + "loss": 0.4125, + "step": 2731 + }, + { + "epoch": 2.54, + "learning_rate": 1.1769361696914217e-06, + "loss": 0.4231, + "step": 2732 + }, + { + "epoch": 2.55, + "learning_rate": 1.1722043442921483e-06, + "loss": 0.4261, + "step": 2733 + }, + { + "epoch": 2.55, + "learning_rate": 1.1674814578361804e-06, + "loss": 0.4059, + "step": 2734 + }, + { + "epoch": 2.55, + "learning_rate": 1.1627675151058703e-06, + "loss": 0.4134, + "step": 2735 + }, + { + "epoch": 2.55, + "learning_rate": 1.1580625208745145e-06, + "loss": 0.4386, + "step": 2736 + }, + { + "epoch": 2.55, + "learning_rate": 1.1533664799063427e-06, + "loss": 0.4341, + "step": 2737 + }, + { + "epoch": 2.55, + "learning_rate": 1.1486793969565246e-06, + "loss": 0.4266, + "step": 2738 + }, + { + "epoch": 2.55, + "learning_rate": 1.144001276771156e-06, + "loss": 0.4296, + "step": 2739 + }, + { + "epoch": 2.55, + "learning_rate": 1.1393321240872578e-06, + "loss": 0.4147, + "step": 2740 + }, + { + "epoch": 2.55, + "learning_rate": 1.1346719436327701e-06, + "loss": 0.4197, + "step": 2741 + }, + { + "epoch": 2.55, + "learning_rate": 1.1300207401265485e-06, + "loss": 0.4139, + "step": 2742 + }, + { + "epoch": 2.56, + "learning_rate": 1.1253785182783571e-06, + "loss": 0.4244, + "step": 2743 + }, + { + "epoch": 2.56, + "learning_rate": 1.1207452827888664e-06, + "loss": 0.4332, + "step": 2744 + }, + { + "epoch": 2.56, + "learning_rate": 1.1161210383496479e-06, + "loss": 0.4281, + "step": 2745 + }, + { + "epoch": 2.56, + "learning_rate": 1.111505789643169e-06, + "loss": 0.4408, + "step": 2746 + }, + { + "epoch": 2.56, + "learning_rate": 1.1068995413427886e-06, + "loss": 0.4218, + "step": 2747 + }, + { + "epoch": 2.56, + "learning_rate": 1.102302298112745e-06, + "loss": 0.4305, + "step": 2748 + }, + { + "epoch": 2.56, + "learning_rate": 1.0977140646081685e-06, + "loss": 0.4124, + "step": 2749 + }, + { + "epoch": 2.56, + "learning_rate": 1.0931348454750602e-06, + "loss": 0.4165, + "step": 2750 + }, + { + "epoch": 2.56, + "learning_rate": 1.0885646453502952e-06, + "loss": 0.431, + "step": 2751 + }, + { + "epoch": 2.56, + "learning_rate": 1.0840034688616142e-06, + "loss": 0.427, + "step": 2752 + }, + { + "epoch": 2.56, + "learning_rate": 1.0794513206276237e-06, + "loss": 0.434, + "step": 2753 + }, + { + "epoch": 2.57, + "learning_rate": 1.0749082052577842e-06, + "loss": 0.4227, + "step": 2754 + }, + { + "epoch": 2.57, + "learning_rate": 1.0703741273524127e-06, + "loss": 0.444, + "step": 2755 + }, + { + "epoch": 2.57, + "learning_rate": 1.065849091502673e-06, + "loss": 0.4514, + "step": 2756 + }, + { + "epoch": 2.57, + "learning_rate": 1.061333102290576e-06, + "loss": 0.4084, + "step": 2757 + }, + { + "epoch": 2.57, + "learning_rate": 1.05682616428897e-06, + "loss": 0.4015, + "step": 2758 + }, + { + "epoch": 2.57, + "learning_rate": 1.0523282820615365e-06, + "loss": 0.4235, + "step": 2759 + }, + { + "epoch": 2.57, + "learning_rate": 1.047839460162793e-06, + "loss": 0.4126, + "step": 2760 + }, + { + "epoch": 2.57, + "learning_rate": 1.0433597031380726e-06, + "loss": 0.4006, + "step": 2761 + }, + { + "epoch": 2.57, + "learning_rate": 1.0388890155235398e-06, + "loss": 0.4041, + "step": 2762 + }, + { + "epoch": 2.57, + "learning_rate": 1.0344274018461687e-06, + "loss": 0.4017, + "step": 2763 + }, + { + "epoch": 2.57, + "learning_rate": 1.0299748666237485e-06, + "loss": 0.4088, + "step": 2764 + }, + { + "epoch": 2.58, + "learning_rate": 1.0255314143648753e-06, + "loss": 0.426, + "step": 2765 + }, + { + "epoch": 2.58, + "learning_rate": 1.0210970495689487e-06, + "loss": 0.4327, + "step": 2766 + }, + { + "epoch": 2.58, + "learning_rate": 1.0166717767261614e-06, + "loss": 0.4136, + "step": 2767 + }, + { + "epoch": 2.58, + "learning_rate": 1.0122556003175043e-06, + "loss": 0.439, + "step": 2768 + }, + { + "epoch": 2.58, + "learning_rate": 1.0078485248147573e-06, + "loss": 0.4152, + "step": 2769 + }, + { + "epoch": 2.58, + "learning_rate": 1.003450554680484e-06, + "loss": 0.4117, + "step": 2770 + }, + { + "epoch": 2.58, + "learning_rate": 9.990616943680266e-07, + "loss": 0.4042, + "step": 2771 + }, + { + "epoch": 2.58, + "learning_rate": 9.946819483215053e-07, + "loss": 0.4152, + "step": 2772 + }, + { + "epoch": 2.58, + "learning_rate": 9.903113209758098e-07, + "loss": 0.4174, + "step": 2773 + }, + { + "epoch": 2.58, + "learning_rate": 9.85949816756595e-07, + "loss": 0.4182, + "step": 2774 + }, + { + "epoch": 2.59, + "learning_rate": 9.815974400802808e-07, + "loss": 0.437, + "step": 2775 + }, + { + "epoch": 2.59, + "learning_rate": 9.772541953540427e-07, + "loss": 0.4138, + "step": 2776 + }, + { + "epoch": 2.59, + "learning_rate": 9.729200869758104e-07, + "loss": 0.4622, + "step": 2777 + }, + { + "epoch": 2.59, + "learning_rate": 9.685951193342603e-07, + "loss": 0.4089, + "step": 2778 + }, + { + "epoch": 2.59, + "learning_rate": 9.642792968088143e-07, + "loss": 0.4237, + "step": 2779 + }, + { + "epoch": 2.59, + "learning_rate": 9.59972623769636e-07, + "loss": 0.4396, + "step": 2780 + }, + { + "epoch": 2.59, + "learning_rate": 9.556751045776192e-07, + "loss": 0.4326, + "step": 2781 + }, + { + "epoch": 2.59, + "learning_rate": 9.513867435843927e-07, + "loss": 0.4084, + "step": 2782 + }, + { + "epoch": 2.59, + "learning_rate": 9.471075451323108e-07, + "loss": 0.4313, + "step": 2783 + }, + { + "epoch": 2.59, + "learning_rate": 9.428375135544499e-07, + "loss": 0.4325, + "step": 2784 + }, + { + "epoch": 2.59, + "learning_rate": 9.385766531746055e-07, + "loss": 0.4196, + "step": 2785 + }, + { + "epoch": 2.6, + "learning_rate": 9.343249683072841e-07, + "loss": 0.4116, + "step": 2786 + }, + { + "epoch": 2.6, + "learning_rate": 9.300824632576999e-07, + "loss": 0.3918, + "step": 2787 + }, + { + "epoch": 2.6, + "learning_rate": 9.258491423217753e-07, + "loss": 0.4319, + "step": 2788 + }, + { + "epoch": 2.6, + "learning_rate": 9.216250097861323e-07, + "loss": 0.4147, + "step": 2789 + }, + { + "epoch": 2.6, + "learning_rate": 9.174100699280864e-07, + "loss": 0.4104, + "step": 2790 + }, + { + "epoch": 2.6, + "learning_rate": 9.132043270156477e-07, + "loss": 0.3983, + "step": 2791 + }, + { + "epoch": 2.6, + "learning_rate": 9.090077853075119e-07, + "loss": 0.4447, + "step": 2792 + }, + { + "epoch": 2.6, + "learning_rate": 9.048204490530599e-07, + "loss": 0.4093, + "step": 2793 + }, + { + "epoch": 2.6, + "learning_rate": 9.006423224923444e-07, + "loss": 0.432, + "step": 2794 + }, + { + "epoch": 2.6, + "learning_rate": 8.964734098561001e-07, + "loss": 0.4019, + "step": 2795 + }, + { + "epoch": 2.6, + "learning_rate": 8.92313715365728e-07, + "loss": 0.4026, + "step": 2796 + }, + { + "epoch": 2.61, + "learning_rate": 8.881632432332976e-07, + "loss": 0.4303, + "step": 2797 + }, + { + "epoch": 2.61, + "learning_rate": 8.840219976615361e-07, + "loss": 0.4156, + "step": 2798 + }, + { + "epoch": 2.61, + "learning_rate": 8.798899828438334e-07, + "loss": 0.4159, + "step": 2799 + }, + { + "epoch": 2.61, + "learning_rate": 8.75767202964224e-07, + "loss": 0.4243, + "step": 2800 + }, + { + "epoch": 2.61, + "learning_rate": 8.716536621973992e-07, + "loss": 0.452, + "step": 2801 + }, + { + "epoch": 2.61, + "learning_rate": 8.675493647086919e-07, + "loss": 0.422, + "step": 2802 + }, + { + "epoch": 2.61, + "learning_rate": 8.634543146540753e-07, + "loss": 0.3992, + "step": 2803 + }, + { + "epoch": 2.61, + "learning_rate": 8.593685161801579e-07, + "loss": 0.4247, + "step": 2804 + }, + { + "epoch": 2.61, + "learning_rate": 8.552919734241827e-07, + "loss": 0.4266, + "step": 2805 + }, + { + "epoch": 2.61, + "learning_rate": 8.512246905140164e-07, + "loss": 0.4028, + "step": 2806 + }, + { + "epoch": 2.61, + "learning_rate": 8.471666715681537e-07, + "loss": 0.4426, + "step": 2807 + }, + { + "epoch": 2.62, + "learning_rate": 8.431179206957052e-07, + "loss": 0.4093, + "step": 2808 + }, + { + "epoch": 2.62, + "learning_rate": 8.390784419963993e-07, + "loss": 0.402, + "step": 2809 + }, + { + "epoch": 2.62, + "learning_rate": 8.350482395605742e-07, + "loss": 0.4176, + "step": 2810 + }, + { + "epoch": 2.62, + "learning_rate": 8.31027317469174e-07, + "loss": 0.4276, + "step": 2811 + }, + { + "epoch": 2.62, + "learning_rate": 8.270156797937479e-07, + "loss": 0.3983, + "step": 2812 + }, + { + "epoch": 2.62, + "learning_rate": 8.23013330596445e-07, + "loss": 0.4314, + "step": 2813 + }, + { + "epoch": 2.62, + "learning_rate": 8.190202739300013e-07, + "loss": 0.4122, + "step": 2814 + }, + { + "epoch": 2.62, + "learning_rate": 8.150365138377514e-07, + "loss": 0.4315, + "step": 2815 + }, + { + "epoch": 2.62, + "learning_rate": 8.110620543536141e-07, + "loss": 0.4246, + "step": 2816 + }, + { + "epoch": 2.62, + "learning_rate": 8.0709689950209e-07, + "loss": 0.4297, + "step": 2817 + }, + { + "epoch": 2.63, + "learning_rate": 8.031410532982553e-07, + "loss": 0.4375, + "step": 2818 + }, + { + "epoch": 2.63, + "learning_rate": 7.991945197477679e-07, + "loss": 0.407, + "step": 2819 + }, + { + "epoch": 2.63, + "learning_rate": 7.952573028468458e-07, + "loss": 0.4133, + "step": 2820 + }, + { + "epoch": 2.63, + "learning_rate": 7.913294065822797e-07, + "loss": 0.4244, + "step": 2821 + }, + { + "epoch": 2.63, + "learning_rate": 7.874108349314202e-07, + "loss": 0.4141, + "step": 2822 + }, + { + "epoch": 2.63, + "learning_rate": 7.835015918621769e-07, + "loss": 0.4386, + "step": 2823 + }, + { + "epoch": 2.63, + "learning_rate": 7.79601681333012e-07, + "loss": 0.4221, + "step": 2824 + }, + { + "epoch": 2.63, + "learning_rate": 7.757111072929402e-07, + "loss": 0.4193, + "step": 2825 + }, + { + "epoch": 2.63, + "learning_rate": 7.7182987368152e-07, + "loss": 0.4259, + "step": 2826 + }, + { + "epoch": 2.63, + "learning_rate": 7.679579844288509e-07, + "loss": 0.429, + "step": 2827 + }, + { + "epoch": 2.63, + "learning_rate": 7.640954434555714e-07, + "loss": 0.4166, + "step": 2828 + }, + { + "epoch": 2.64, + "learning_rate": 7.602422546728561e-07, + "loss": 0.4128, + "step": 2829 + }, + { + "epoch": 2.64, + "learning_rate": 7.563984219824061e-07, + "loss": 0.4182, + "step": 2830 + }, + { + "epoch": 2.64, + "learning_rate": 7.525639492764525e-07, + "loss": 0.4143, + "step": 2831 + }, + { + "epoch": 2.64, + "learning_rate": 7.487388404377449e-07, + "loss": 0.441, + "step": 2832 + }, + { + "epoch": 2.64, + "learning_rate": 7.449230993395551e-07, + "loss": 0.4124, + "step": 2833 + }, + { + "epoch": 2.64, + "learning_rate": 7.411167298456634e-07, + "loss": 0.4094, + "step": 2834 + }, + { + "epoch": 2.64, + "learning_rate": 7.373197358103657e-07, + "loss": 0.439, + "step": 2835 + }, + { + "epoch": 2.64, + "learning_rate": 7.335321210784618e-07, + "loss": 0.4043, + "step": 2836 + }, + { + "epoch": 2.64, + "learning_rate": 7.297538894852563e-07, + "loss": 0.4504, + "step": 2837 + }, + { + "epoch": 2.64, + "learning_rate": 7.259850448565508e-07, + "loss": 0.4116, + "step": 2838 + }, + { + "epoch": 2.64, + "learning_rate": 7.222255910086418e-07, + "loss": 0.4088, + "step": 2839 + }, + { + "epoch": 2.65, + "learning_rate": 7.184755317483172e-07, + "loss": 0.4263, + "step": 2840 + }, + { + "epoch": 2.65, + "learning_rate": 7.147348708728508e-07, + "loss": 0.3893, + "step": 2841 + }, + { + "epoch": 2.65, + "learning_rate": 7.110036121700026e-07, + "loss": 0.4182, + "step": 2842 + }, + { + "epoch": 2.65, + "learning_rate": 7.072817594180103e-07, + "loss": 0.4144, + "step": 2843 + }, + { + "epoch": 2.65, + "learning_rate": 7.03569316385585e-07, + "loss": 0.403, + "step": 2844 + }, + { + "epoch": 2.65, + "learning_rate": 6.998662868319139e-07, + "loss": 0.4241, + "step": 2845 + }, + { + "epoch": 2.65, + "learning_rate": 6.96172674506651e-07, + "loss": 0.4116, + "step": 2846 + }, + { + "epoch": 2.65, + "learning_rate": 6.924884831499113e-07, + "loss": 0.4225, + "step": 2847 + }, + { + "epoch": 2.65, + "learning_rate": 6.888137164922725e-07, + "loss": 0.4187, + "step": 2848 + }, + { + "epoch": 2.65, + "learning_rate": 6.851483782547697e-07, + "loss": 0.4254, + "step": 2849 + }, + { + "epoch": 2.65, + "learning_rate": 6.814924721488892e-07, + "loss": 0.4399, + "step": 2850 + }, + { + "epoch": 2.66, + "learning_rate": 6.778460018765698e-07, + "loss": 0.4113, + "step": 2851 + }, + { + "epoch": 2.66, + "learning_rate": 6.742089711301924e-07, + "loss": 0.3949, + "step": 2852 + }, + { + "epoch": 2.66, + "learning_rate": 6.705813835925779e-07, + "loss": 0.4097, + "step": 2853 + }, + { + "epoch": 2.66, + "learning_rate": 6.669632429369888e-07, + "loss": 0.4111, + "step": 2854 + }, + { + "epoch": 2.66, + "learning_rate": 6.633545528271213e-07, + "loss": 0.4108, + "step": 2855 + }, + { + "epoch": 2.66, + "learning_rate": 6.597553169171001e-07, + "loss": 0.4124, + "step": 2856 + }, + { + "epoch": 2.66, + "learning_rate": 6.561655388514787e-07, + "loss": 0.4098, + "step": 2857 + }, + { + "epoch": 2.66, + "learning_rate": 6.525852222652329e-07, + "loss": 0.4122, + "step": 2858 + }, + { + "epoch": 2.66, + "learning_rate": 6.490143707837593e-07, + "loss": 0.4216, + "step": 2859 + }, + { + "epoch": 2.66, + "learning_rate": 6.454529880228644e-07, + "loss": 0.4265, + "step": 2860 + }, + { + "epoch": 2.67, + "learning_rate": 6.419010775887747e-07, + "loss": 0.4082, + "step": 2861 + }, + { + "epoch": 2.67, + "learning_rate": 6.383586430781196e-07, + "loss": 0.3986, + "step": 2862 + }, + { + "epoch": 2.67, + "learning_rate": 6.348256880779358e-07, + "loss": 0.429, + "step": 2863 + }, + { + "epoch": 2.67, + "learning_rate": 6.313022161656601e-07, + "loss": 0.447, + "step": 2864 + }, + { + "epoch": 2.67, + "learning_rate": 6.277882309091287e-07, + "loss": 0.4243, + "step": 2865 + }, + { + "epoch": 2.67, + "learning_rate": 6.242837358665698e-07, + "loss": 0.4102, + "step": 2866 + }, + { + "epoch": 2.67, + "learning_rate": 6.207887345866003e-07, + "loss": 0.4142, + "step": 2867 + }, + { + "epoch": 2.67, + "learning_rate": 6.173032306082271e-07, + "loss": 0.4274, + "step": 2868 + }, + { + "epoch": 2.67, + "learning_rate": 6.138272274608404e-07, + "loss": 0.4154, + "step": 2869 + }, + { + "epoch": 2.67, + "learning_rate": 6.103607286642055e-07, + "loss": 0.4415, + "step": 2870 + }, + { + "epoch": 2.67, + "learning_rate": 6.069037377284681e-07, + "loss": 0.427, + "step": 2871 + }, + { + "epoch": 2.68, + "learning_rate": 6.034562581541459e-07, + "loss": 0.4114, + "step": 2872 + }, + { + "epoch": 2.68, + "learning_rate": 6.00018293432123e-07, + "loss": 0.418, + "step": 2873 + }, + { + "epoch": 2.68, + "learning_rate": 5.965898470436504e-07, + "loss": 0.4131, + "step": 2874 + }, + { + "epoch": 2.68, + "learning_rate": 5.931709224603422e-07, + "loss": 0.3987, + "step": 2875 + }, + { + "epoch": 2.68, + "learning_rate": 5.89761523144169e-07, + "loss": 0.4364, + "step": 2876 + }, + { + "epoch": 2.68, + "learning_rate": 5.863616525474547e-07, + "loss": 0.4207, + "step": 2877 + }, + { + "epoch": 2.68, + "learning_rate": 5.82971314112879e-07, + "loss": 0.4106, + "step": 2878 + }, + { + "epoch": 2.68, + "learning_rate": 5.795905112734679e-07, + "loss": 0.4072, + "step": 2879 + }, + { + "epoch": 2.68, + "learning_rate": 5.762192474525862e-07, + "loss": 0.4276, + "step": 2880 + }, + { + "epoch": 2.68, + "learning_rate": 5.728575260639469e-07, + "loss": 0.4095, + "step": 2881 + }, + { + "epoch": 2.68, + "learning_rate": 5.695053505115977e-07, + "loss": 0.425, + "step": 2882 + }, + { + "epoch": 2.69, + "learning_rate": 5.661627241899193e-07, + "loss": 0.4108, + "step": 2883 + }, + { + "epoch": 2.69, + "learning_rate": 5.62829650483625e-07, + "loss": 0.4359, + "step": 2884 + }, + { + "epoch": 2.69, + "learning_rate": 5.595061327677543e-07, + "loss": 0.4056, + "step": 2885 + }, + { + "epoch": 2.69, + "learning_rate": 5.561921744076681e-07, + "loss": 0.4072, + "step": 2886 + }, + { + "epoch": 2.69, + "learning_rate": 5.528877787590514e-07, + "loss": 0.4286, + "step": 2887 + }, + { + "epoch": 2.69, + "learning_rate": 5.49592949167903e-07, + "loss": 0.4044, + "step": 2888 + }, + { + "epoch": 2.69, + "learning_rate": 5.463076889705377e-07, + "loss": 0.4236, + "step": 2889 + }, + { + "epoch": 2.69, + "learning_rate": 5.430320014935797e-07, + "loss": 0.4388, + "step": 2890 + }, + { + "epoch": 2.69, + "learning_rate": 5.397658900539571e-07, + "loss": 0.4213, + "step": 2891 + }, + { + "epoch": 2.69, + "learning_rate": 5.365093579589076e-07, + "loss": 0.4314, + "step": 2892 + }, + { + "epoch": 2.69, + "learning_rate": 5.332624085059612e-07, + "loss": 0.3965, + "step": 2893 + }, + { + "epoch": 2.7, + "learning_rate": 5.300250449829514e-07, + "loss": 0.4298, + "step": 2894 + }, + { + "epoch": 2.7, + "learning_rate": 5.267972706679991e-07, + "loss": 0.421, + "step": 2895 + }, + { + "epoch": 2.7, + "learning_rate": 5.235790888295222e-07, + "loss": 0.431, + "step": 2896 + }, + { + "epoch": 2.7, + "learning_rate": 5.203705027262185e-07, + "loss": 0.4246, + "step": 2897 + }, + { + "epoch": 2.7, + "learning_rate": 5.171715156070734e-07, + "loss": 0.4218, + "step": 2898 + }, + { + "epoch": 2.7, + "learning_rate": 5.139821307113535e-07, + "loss": 0.4226, + "step": 2899 + }, + { + "epoch": 2.7, + "learning_rate": 5.108023512685967e-07, + "loss": 0.4167, + "step": 2900 + }, + { + "epoch": 2.7, + "learning_rate": 5.076321804986184e-07, + "loss": 0.399, + "step": 2901 + }, + { + "epoch": 2.7, + "learning_rate": 5.044716216115053e-07, + "loss": 0.4323, + "step": 2902 + }, + { + "epoch": 2.7, + "learning_rate": 5.013206778076086e-07, + "loss": 0.4019, + "step": 2903 + }, + { + "epoch": 2.71, + "learning_rate": 4.981793522775458e-07, + "loss": 0.4164, + "step": 2904 + }, + { + "epoch": 2.71, + "learning_rate": 4.950476482021915e-07, + "loss": 0.4003, + "step": 2905 + }, + { + "epoch": 2.71, + "learning_rate": 4.919255687526836e-07, + "loss": 0.4064, + "step": 2906 + }, + { + "epoch": 2.71, + "learning_rate": 4.888131170904065e-07, + "loss": 0.4233, + "step": 2907 + }, + { + "epoch": 2.71, + "learning_rate": 4.857102963670024e-07, + "loss": 0.3961, + "step": 2908 + }, + { + "epoch": 2.71, + "learning_rate": 4.826171097243582e-07, + "loss": 0.4232, + "step": 2909 + }, + { + "epoch": 2.71, + "learning_rate": 4.795335602946049e-07, + "loss": 0.4203, + "step": 2910 + }, + { + "epoch": 2.71, + "learning_rate": 4.7645965120011627e-07, + "loss": 0.417, + "step": 2911 + }, + { + "epoch": 2.71, + "learning_rate": 4.733953855535045e-07, + "loss": 0.4225, + "step": 2912 + }, + { + "epoch": 2.71, + "learning_rate": 4.703407664576143e-07, + "loss": 0.4413, + "step": 2913 + }, + { + "epoch": 2.71, + "learning_rate": 4.6729579700552695e-07, + "loss": 0.4287, + "step": 2914 + }, + { + "epoch": 2.72, + "learning_rate": 4.6426048028054726e-07, + "loss": 0.411, + "step": 2915 + }, + { + "epoch": 2.72, + "learning_rate": 4.6123481935621104e-07, + "loss": 0.4148, + "step": 2916 + }, + { + "epoch": 2.72, + "learning_rate": 4.5821881729627315e-07, + "loss": 0.4404, + "step": 2917 + }, + { + "epoch": 2.72, + "learning_rate": 4.552124771547095e-07, + "loss": 0.3828, + "step": 2918 + }, + { + "epoch": 2.72, + "learning_rate": 4.522158019757128e-07, + "loss": 0.4241, + "step": 2919 + }, + { + "epoch": 2.72, + "learning_rate": 4.492287947936857e-07, + "loss": 0.4193, + "step": 2920 + }, + { + "epoch": 2.72, + "learning_rate": 4.462514586332456e-07, + "loss": 0.4098, + "step": 2921 + }, + { + "epoch": 2.72, + "learning_rate": 4.4328379650921407e-07, + "loss": 0.4263, + "step": 2922 + }, + { + "epoch": 2.72, + "learning_rate": 4.4032581142661955e-07, + "loss": 0.4214, + "step": 2923 + }, + { + "epoch": 2.72, + "learning_rate": 4.3737750638068956e-07, + "loss": 0.4532, + "step": 2924 + }, + { + "epoch": 2.72, + "learning_rate": 4.344388843568503e-07, + "loss": 0.4236, + "step": 2925 + }, + { + "epoch": 2.73, + "learning_rate": 4.315099483307228e-07, + "loss": 0.3947, + "step": 2926 + }, + { + "epoch": 2.73, + "learning_rate": 4.2859070126811897e-07, + "loss": 0.4122, + "step": 2927 + }, + { + "epoch": 2.73, + "learning_rate": 4.256811461250432e-07, + "loss": 0.4253, + "step": 2928 + }, + { + "epoch": 2.73, + "learning_rate": 4.2278128584768207e-07, + "loss": 0.3942, + "step": 2929 + }, + { + "epoch": 2.73, + "learning_rate": 4.198911233724079e-07, + "loss": 0.4114, + "step": 2930 + }, + { + "epoch": 2.73, + "learning_rate": 4.1701066162577186e-07, + "loss": 0.4067, + "step": 2931 + }, + { + "epoch": 2.73, + "learning_rate": 4.141399035245053e-07, + "loss": 0.4263, + "step": 2932 + }, + { + "epoch": 2.73, + "learning_rate": 4.112788519755062e-07, + "loss": 0.4127, + "step": 2933 + }, + { + "epoch": 2.73, + "learning_rate": 4.0842750987585057e-07, + "loss": 0.4287, + "step": 2934 + }, + { + "epoch": 2.73, + "learning_rate": 4.05585880112781e-07, + "loss": 0.4246, + "step": 2935 + }, + { + "epoch": 2.73, + "learning_rate": 4.0275396556370584e-07, + "loss": 0.4218, + "step": 2936 + }, + { + "epoch": 2.74, + "learning_rate": 3.999317690961946e-07, + "loss": 0.408, + "step": 2937 + }, + { + "epoch": 2.74, + "learning_rate": 3.9711929356797686e-07, + "loss": 0.4668, + "step": 2938 + }, + { + "epoch": 2.74, + "learning_rate": 3.943165418269401e-07, + "loss": 0.4331, + "step": 2939 + }, + { + "epoch": 2.74, + "learning_rate": 3.915235167111231e-07, + "loss": 0.418, + "step": 2940 + }, + { + "epoch": 2.74, + "learning_rate": 3.887402210487179e-07, + "loss": 0.4324, + "step": 2941 + }, + { + "epoch": 2.74, + "learning_rate": 3.859666576580623e-07, + "loss": 0.3956, + "step": 2942 + }, + { + "epoch": 2.74, + "learning_rate": 3.8320282934764306e-07, + "loss": 0.4155, + "step": 2943 + }, + { + "epoch": 2.74, + "learning_rate": 3.804487389160849e-07, + "loss": 0.3979, + "step": 2944 + }, + { + "epoch": 2.74, + "learning_rate": 3.777043891521559e-07, + "loss": 0.4274, + "step": 2945 + }, + { + "epoch": 2.74, + "learning_rate": 3.749697828347565e-07, + "loss": 0.4155, + "step": 2946 + }, + { + "epoch": 2.75, + "learning_rate": 3.722449227329239e-07, + "loss": 0.4281, + "step": 2947 + }, + { + "epoch": 2.75, + "learning_rate": 3.6952981160582767e-07, + "loss": 0.4305, + "step": 2948 + }, + { + "epoch": 2.75, + "learning_rate": 3.6682445220276195e-07, + "loss": 0.4347, + "step": 2949 + }, + { + "epoch": 2.75, + "learning_rate": 3.64128847263151e-07, + "loss": 0.4219, + "step": 2950 + }, + { + "epoch": 2.75, + "learning_rate": 3.6144299951653584e-07, + "loss": 0.429, + "step": 2951 + }, + { + "epoch": 2.75, + "learning_rate": 3.5876691168258536e-07, + "loss": 0.4126, + "step": 2952 + }, + { + "epoch": 2.75, + "learning_rate": 3.561005864710754e-07, + "loss": 0.4194, + "step": 2953 + }, + { + "epoch": 2.75, + "learning_rate": 3.5344402658190614e-07, + "loss": 0.405, + "step": 2954 + }, + { + "epoch": 2.75, + "learning_rate": 3.507972347050825e-07, + "loss": 0.428, + "step": 2955 + }, + { + "epoch": 2.75, + "learning_rate": 3.4816021352072403e-07, + "loss": 0.4192, + "step": 2956 + }, + { + "epoch": 2.75, + "learning_rate": 3.455329656990514e-07, + "loss": 0.422, + "step": 2957 + }, + { + "epoch": 2.76, + "learning_rate": 3.429154939003931e-07, + "loss": 0.425, + "step": 2958 + }, + { + "epoch": 2.76, + "learning_rate": 3.4030780077517477e-07, + "loss": 0.4109, + "step": 2959 + }, + { + "epoch": 2.76, + "learning_rate": 3.37709888963923e-07, + "loss": 0.4064, + "step": 2960 + }, + { + "epoch": 2.76, + "learning_rate": 3.351217610972579e-07, + "loss": 0.4261, + "step": 2961 + }, + { + "epoch": 2.76, + "learning_rate": 3.3254341979589545e-07, + "loss": 0.4137, + "step": 2962 + }, + { + "epoch": 2.76, + "learning_rate": 3.2997486767063824e-07, + "loss": 0.4362, + "step": 2963 + }, + { + "epoch": 2.76, + "learning_rate": 3.2741610732237917e-07, + "loss": 0.4109, + "step": 2964 + }, + { + "epoch": 2.76, + "learning_rate": 3.248671413420956e-07, + "loss": 0.4248, + "step": 2965 + }, + { + "epoch": 2.76, + "learning_rate": 3.223279723108441e-07, + "loss": 0.416, + "step": 2966 + }, + { + "epoch": 2.76, + "learning_rate": 3.197986027997657e-07, + "loss": 0.4156, + "step": 2967 + }, + { + "epoch": 2.76, + "learning_rate": 3.172790353700761e-07, + "loss": 0.4181, + "step": 2968 + }, + { + "epoch": 2.77, + "learning_rate": 3.1476927257306444e-07, + "loss": 0.4257, + "step": 2969 + }, + { + "epoch": 2.77, + "learning_rate": 3.1226931695009455e-07, + "loss": 0.4192, + "step": 2970 + }, + { + "epoch": 2.77, + "learning_rate": 3.09779171032597e-07, + "loss": 0.4165, + "step": 2971 + }, + { + "epoch": 2.77, + "learning_rate": 3.0729883734207047e-07, + "loss": 0.4244, + "step": 2972 + }, + { + "epoch": 2.77, + "learning_rate": 3.048283183900791e-07, + "loss": 0.4308, + "step": 2973 + }, + { + "epoch": 2.77, + "learning_rate": 3.0236761667824523e-07, + "loss": 0.4288, + "step": 2974 + }, + { + "epoch": 2.77, + "learning_rate": 2.999167346982534e-07, + "loss": 0.4106, + "step": 2975 + }, + { + "epoch": 2.77, + "learning_rate": 2.9747567493184415e-07, + "loss": 0.4496, + "step": 2976 + }, + { + "epoch": 2.77, + "learning_rate": 2.950444398508112e-07, + "loss": 0.4316, + "step": 2977 + }, + { + "epoch": 2.77, + "learning_rate": 2.926230319170009e-07, + "loss": 0.4352, + "step": 2978 + }, + { + "epoch": 2.78, + "learning_rate": 2.902114535823075e-07, + "loss": 0.4152, + "step": 2979 + }, + { + "epoch": 2.78, + "learning_rate": 2.878097072886721e-07, + "loss": 0.4083, + "step": 2980 + }, + { + "epoch": 2.78, + "learning_rate": 2.8541779546808255e-07, + "loss": 0.4355, + "step": 2981 + }, + { + "epoch": 2.78, + "learning_rate": 2.830357205425649e-07, + "loss": 0.4125, + "step": 2982 + }, + { + "epoch": 2.78, + "learning_rate": 2.806634849241863e-07, + "loss": 0.3937, + "step": 2983 + }, + { + "epoch": 2.78, + "learning_rate": 2.7830109101505075e-07, + "loss": 0.407, + "step": 2984 + }, + { + "epoch": 2.78, + "learning_rate": 2.75948541207296e-07, + "loss": 0.4163, + "step": 2985 + }, + { + "epoch": 2.78, + "learning_rate": 2.736058378830919e-07, + "loss": 0.4208, + "step": 2986 + }, + { + "epoch": 2.78, + "learning_rate": 2.712729834146366e-07, + "loss": 0.4148, + "step": 2987 + }, + { + "epoch": 2.78, + "learning_rate": 2.689499801641593e-07, + "loss": 0.4397, + "step": 2988 + }, + { + "epoch": 2.78, + "learning_rate": 2.6663683048390955e-07, + "loss": 0.4059, + "step": 2989 + }, + { + "epoch": 2.79, + "learning_rate": 2.643335367161615e-07, + "loss": 0.4402, + "step": 2990 + }, + { + "epoch": 2.79, + "learning_rate": 2.620401011932106e-07, + "loss": 0.3975, + "step": 2991 + }, + { + "epoch": 2.79, + "learning_rate": 2.5975652623736467e-07, + "loss": 0.428, + "step": 2992 + }, + { + "epoch": 2.79, + "learning_rate": 2.574828141609531e-07, + "loss": 0.4066, + "step": 2993 + }, + { + "epoch": 2.79, + "learning_rate": 2.5521896726631414e-07, + "loss": 0.4044, + "step": 2994 + }, + { + "epoch": 2.79, + "learning_rate": 2.529649878457985e-07, + "loss": 0.4606, + "step": 2995 + }, + { + "epoch": 2.79, + "learning_rate": 2.507208781817638e-07, + "loss": 0.4121, + "step": 2996 + }, + { + "epoch": 2.79, + "learning_rate": 2.4848664054657687e-07, + "loss": 0.4138, + "step": 2997 + }, + { + "epoch": 2.79, + "learning_rate": 2.4626227720260465e-07, + "loss": 0.412, + "step": 2998 + }, + { + "epoch": 2.79, + "learning_rate": 2.440477904022143e-07, + "loss": 0.4158, + "step": 2999 + }, + { + "epoch": 2.79, + "learning_rate": 2.418431823877776e-07, + "loss": 0.4226, + "step": 3000 + }, + { + "epoch": 2.8, + "learning_rate": 2.3964845539165894e-07, + "loss": 0.4442, + "step": 3001 + }, + { + "epoch": 2.8, + "learning_rate": 2.3746361163621723e-07, + "loss": 0.3911, + "step": 3002 + }, + { + "epoch": 2.8, + "learning_rate": 2.3528865333380724e-07, + "loss": 0.4354, + "step": 3003 + }, + { + "epoch": 2.8, + "learning_rate": 2.3312358268676837e-07, + "loss": 0.4025, + "step": 3004 + }, + { + "epoch": 2.8, + "learning_rate": 2.3096840188743365e-07, + "loss": 0.4008, + "step": 3005 + }, + { + "epoch": 2.8, + "learning_rate": 2.2882311311811845e-07, + "loss": 0.4175, + "step": 3006 + }, + { + "epoch": 2.8, + "learning_rate": 2.266877185511207e-07, + "loss": 0.4247, + "step": 3007 + }, + { + "epoch": 2.8, + "learning_rate": 2.2456222034872076e-07, + "loss": 0.3983, + "step": 3008 + }, + { + "epoch": 2.8, + "learning_rate": 2.2244662066318146e-07, + "loss": 0.4075, + "step": 3009 + }, + { + "epoch": 2.8, + "learning_rate": 2.2034092163673582e-07, + "loss": 0.4192, + "step": 3010 + }, + { + "epoch": 2.8, + "learning_rate": 2.1824512540159715e-07, + "loss": 0.436, + "step": 3011 + }, + { + "epoch": 2.81, + "learning_rate": 2.1615923407994678e-07, + "loss": 0.4053, + "step": 3012 + }, + { + "epoch": 2.81, + "learning_rate": 2.140832497839407e-07, + "loss": 0.4403, + "step": 3013 + }, + { + "epoch": 2.81, + "learning_rate": 2.120171746157007e-07, + "loss": 0.4095, + "step": 3014 + }, + { + "epoch": 2.81, + "learning_rate": 2.0996101066731555e-07, + "loss": 0.4056, + "step": 3015 + }, + { + "epoch": 2.81, + "learning_rate": 2.0791476002083642e-07, + "loss": 0.4216, + "step": 3016 + }, + { + "epoch": 2.81, + "learning_rate": 2.0587842474827924e-07, + "loss": 0.4081, + "step": 3017 + }, + { + "epoch": 2.81, + "learning_rate": 2.0385200691161787e-07, + "loss": 0.4153, + "step": 3018 + }, + { + "epoch": 2.81, + "learning_rate": 2.018355085627821e-07, + "loss": 0.4022, + "step": 3019 + }, + { + "epoch": 2.81, + "learning_rate": 1.998289317436608e-07, + "loss": 0.4401, + "step": 3020 + }, + { + "epoch": 2.81, + "learning_rate": 1.978322784860942e-07, + "loss": 0.4198, + "step": 3021 + }, + { + "epoch": 2.82, + "learning_rate": 1.9584555081187507e-07, + "loss": 0.41, + "step": 3022 + }, + { + "epoch": 2.82, + "learning_rate": 1.9386875073274636e-07, + "loss": 0.3997, + "step": 3023 + }, + { + "epoch": 2.82, + "learning_rate": 1.9190188025039692e-07, + "loss": 0.417, + "step": 3024 + }, + { + "epoch": 2.82, + "learning_rate": 1.8994494135645912e-07, + "loss": 0.4342, + "step": 3025 + }, + { + "epoch": 2.82, + "learning_rate": 1.8799793603251349e-07, + "loss": 0.4156, + "step": 3026 + }, + { + "epoch": 2.82, + "learning_rate": 1.8606086625007846e-07, + "loss": 0.4347, + "step": 3027 + }, + { + "epoch": 2.82, + "learning_rate": 1.8413373397061284e-07, + "loss": 0.4263, + "step": 3028 + }, + { + "epoch": 2.82, + "learning_rate": 1.8221654114551234e-07, + "loss": 0.438, + "step": 3029 + }, + { + "epoch": 2.82, + "learning_rate": 1.8030928971610963e-07, + "loss": 0.4192, + "step": 3030 + }, + { + "epoch": 2.82, + "learning_rate": 1.7841198161366868e-07, + "loss": 0.416, + "step": 3031 + }, + { + "epoch": 2.82, + "learning_rate": 1.765246187593872e-07, + "loss": 0.4064, + "step": 3032 + }, + { + "epoch": 2.83, + "learning_rate": 1.7464720306438865e-07, + "loss": 0.4272, + "step": 3033 + }, + { + "epoch": 2.83, + "learning_rate": 1.72779736429729e-07, + "loss": 0.4246, + "step": 3034 + }, + { + "epoch": 2.83, + "learning_rate": 1.7092222074638675e-07, + "loss": 0.4213, + "step": 3035 + }, + { + "epoch": 2.83, + "learning_rate": 1.69074657895264e-07, + "loss": 0.4167, + "step": 3036 + }, + { + "epoch": 2.83, + "learning_rate": 1.6723704974718758e-07, + "loss": 0.4277, + "step": 3037 + }, + { + "epoch": 2.83, + "learning_rate": 1.6540939816290014e-07, + "loss": 0.424, + "step": 3038 + }, + { + "epoch": 2.83, + "learning_rate": 1.6359170499306687e-07, + "loss": 0.4377, + "step": 3039 + }, + { + "epoch": 2.83, + "learning_rate": 1.6178397207826435e-07, + "loss": 0.4487, + "step": 3040 + }, + { + "epoch": 2.83, + "learning_rate": 1.5998620124898722e-07, + "loss": 0.4336, + "step": 3041 + }, + { + "epoch": 2.83, + "learning_rate": 1.5819839432564266e-07, + "loss": 0.4156, + "step": 3042 + }, + { + "epoch": 2.83, + "learning_rate": 1.5642055311854476e-07, + "loss": 0.4163, + "step": 3043 + }, + { + "epoch": 2.84, + "learning_rate": 1.5465267942792129e-07, + "loss": 0.3947, + "step": 3044 + }, + { + "epoch": 2.84, + "learning_rate": 1.528947750439036e-07, + "loss": 0.42, + "step": 3045 + }, + { + "epoch": 2.84, + "learning_rate": 1.5114684174652783e-07, + "loss": 0.4128, + "step": 3046 + }, + { + "epoch": 2.84, + "learning_rate": 1.4940888130573705e-07, + "loss": 0.4209, + "step": 3047 + }, + { + "epoch": 2.84, + "learning_rate": 1.4768089548137242e-07, + "loss": 0.4446, + "step": 3048 + }, + { + "epoch": 2.84, + "learning_rate": 1.4596288602317766e-07, + "loss": 0.4154, + "step": 3049 + }, + { + "epoch": 2.84, + "learning_rate": 1.4425485467079114e-07, + "loss": 0.4338, + "step": 3050 + }, + { + "epoch": 2.84, + "learning_rate": 1.4255680315375164e-07, + "loss": 0.42, + "step": 3051 + }, + { + "epoch": 2.84, + "learning_rate": 1.4086873319148707e-07, + "loss": 0.4102, + "step": 3052 + }, + { + "epoch": 2.84, + "learning_rate": 1.391906464933246e-07, + "loss": 0.443, + "step": 3053 + }, + { + "epoch": 2.84, + "learning_rate": 1.3752254475847716e-07, + "loss": 0.4175, + "step": 3054 + }, + { + "epoch": 2.85, + "learning_rate": 1.3586442967604918e-07, + "loss": 0.4296, + "step": 3055 + }, + { + "epoch": 2.85, + "learning_rate": 1.342163029250332e-07, + "loss": 0.4044, + "step": 3056 + }, + { + "epoch": 2.85, + "learning_rate": 1.3257816617430753e-07, + "loss": 0.4332, + "step": 3057 + }, + { + "epoch": 2.85, + "learning_rate": 1.30950021082632e-07, + "loss": 0.4216, + "step": 3058 + }, + { + "epoch": 2.85, + "learning_rate": 1.2933186929865226e-07, + "loss": 0.4283, + "step": 3059 + }, + { + "epoch": 2.85, + "learning_rate": 1.2772371246089432e-07, + "loss": 0.4028, + "step": 3060 + }, + { + "epoch": 2.85, + "learning_rate": 1.2612555219776223e-07, + "loss": 0.4214, + "step": 3061 + }, + { + "epoch": 2.85, + "learning_rate": 1.2453739012753707e-07, + "loss": 0.425, + "step": 3062 + }, + { + "epoch": 2.85, + "learning_rate": 1.2295922785837799e-07, + "loss": 0.411, + "step": 3063 + }, + { + "epoch": 2.85, + "learning_rate": 1.2139106698831892e-07, + "loss": 0.4055, + "step": 3064 + }, + { + "epoch": 2.86, + "learning_rate": 1.198329091052608e-07, + "loss": 0.4121, + "step": 3065 + }, + { + "epoch": 2.86, + "learning_rate": 1.1828475578698373e-07, + "loss": 0.4099, + "step": 3066 + }, + { + "epoch": 2.86, + "learning_rate": 1.167466086011304e-07, + "loss": 0.3921, + "step": 3067 + }, + { + "epoch": 2.86, + "learning_rate": 1.1521846910521606e-07, + "loss": 0.4415, + "step": 3068 + }, + { + "epoch": 2.86, + "learning_rate": 1.1370033884661957e-07, + "loss": 0.4342, + "step": 3069 + }, + { + "epoch": 2.86, + "learning_rate": 1.1219221936258684e-07, + "loss": 0.4056, + "step": 3070 + }, + { + "epoch": 2.86, + "learning_rate": 1.1069411218022297e-07, + "loss": 0.4232, + "step": 3071 + }, + { + "epoch": 2.86, + "learning_rate": 1.0920601881650006e-07, + "loss": 0.4366, + "step": 3072 + }, + { + "epoch": 2.86, + "learning_rate": 1.0772794077824611e-07, + "loss": 0.3954, + "step": 3073 + }, + { + "epoch": 2.86, + "learning_rate": 1.0625987956214834e-07, + "loss": 0.4, + "step": 3074 + }, + { + "epoch": 2.86, + "learning_rate": 1.0480183665475319e-07, + "loss": 0.4153, + "step": 3075 + }, + { + "epoch": 2.87, + "learning_rate": 1.0335381353246076e-07, + "loss": 0.4032, + "step": 3076 + }, + { + "epoch": 2.87, + "learning_rate": 1.0191581166152708e-07, + "loss": 0.4359, + "step": 3077 + }, + { + "epoch": 2.87, + "learning_rate": 1.0048783249805627e-07, + "loss": 0.4456, + "step": 3078 + }, + { + "epoch": 2.87, + "learning_rate": 9.906987748800945e-08, + "loss": 0.415, + "step": 3079 + }, + { + "epoch": 2.87, + "learning_rate": 9.766194806719364e-08, + "loss": 0.4036, + "step": 3080 + }, + { + "epoch": 2.87, + "learning_rate": 9.626404566126402e-08, + "loss": 0.4205, + "step": 3081 + }, + { + "epoch": 2.87, + "learning_rate": 9.487617168572605e-08, + "loss": 0.3975, + "step": 3082 + }, + { + "epoch": 2.87, + "learning_rate": 9.349832754592559e-08, + "loss": 0.4265, + "step": 3083 + }, + { + "epoch": 2.87, + "learning_rate": 9.213051463705547e-08, + "loss": 0.4557, + "step": 3084 + }, + { + "epoch": 2.87, + "learning_rate": 9.077273434415002e-08, + "loss": 0.4376, + "step": 3085 + }, + { + "epoch": 2.87, + "learning_rate": 8.9424988042085e-08, + "loss": 0.423, + "step": 3086 + }, + { + "epoch": 2.88, + "learning_rate": 8.808727709557652e-08, + "loss": 0.4221, + "step": 3087 + }, + { + "epoch": 2.88, + "learning_rate": 8.675960285917662e-08, + "loss": 0.4407, + "step": 3088 + }, + { + "epoch": 2.88, + "learning_rate": 8.544196667727767e-08, + "loss": 0.4161, + "step": 3089 + }, + { + "epoch": 2.88, + "learning_rate": 8.413436988410351e-08, + "loss": 0.4264, + "step": 3090 + }, + { + "epoch": 2.88, + "learning_rate": 8.283681380371722e-08, + "loss": 0.4315, + "step": 3091 + }, + { + "epoch": 2.88, + "learning_rate": 8.154929975001002e-08, + "loss": 0.4036, + "step": 3092 + }, + { + "epoch": 2.88, + "learning_rate": 8.027182902670571e-08, + "loss": 0.4374, + "step": 3093 + }, + { + "epoch": 2.88, + "learning_rate": 7.900440292736178e-08, + "loss": 0.4364, + "step": 3094 + }, + { + "epoch": 2.88, + "learning_rate": 7.774702273535938e-08, + "loss": 0.4189, + "step": 3095 + }, + { + "epoch": 2.88, + "learning_rate": 7.64996897239123e-08, + "loss": 0.4176, + "step": 3096 + }, + { + "epoch": 2.88, + "learning_rate": 7.526240515605799e-08, + "loss": 0.4429, + "step": 3097 + }, + { + "epoch": 2.89, + "learning_rate": 7.403517028465757e-08, + "loss": 0.4248, + "step": 3098 + }, + { + "epoch": 2.89, + "learning_rate": 7.281798635239812e-08, + "loss": 0.4233, + "step": 3099 + }, + { + "epoch": 2.89, + "learning_rate": 7.161085459178929e-08, + "loss": 0.4061, + "step": 3100 + }, + { + "epoch": 2.89, + "learning_rate": 7.04137762251611e-08, + "loss": 0.4028, + "step": 3101 + }, + { + "epoch": 2.89, + "learning_rate": 6.922675246466392e-08, + "loss": 0.4037, + "step": 3102 + }, + { + "epoch": 2.89, + "learning_rate": 6.804978451226741e-08, + "loss": 0.4141, + "step": 3103 + }, + { + "epoch": 2.89, + "learning_rate": 6.68828735597582e-08, + "loss": 0.4154, + "step": 3104 + }, + { + "epoch": 2.89, + "learning_rate": 6.57260207887389e-08, + "loss": 0.4128, + "step": 3105 + }, + { + "epoch": 2.89, + "learning_rate": 6.457922737062694e-08, + "loss": 0.4281, + "step": 3106 + }, + { + "epoch": 2.89, + "learning_rate": 6.344249446665673e-08, + "loss": 0.4357, + "step": 3107 + }, + { + "epoch": 2.9, + "learning_rate": 6.2315823227872e-08, + "loss": 0.4076, + "step": 3108 + }, + { + "epoch": 2.9, + "learning_rate": 6.119921479513013e-08, + "loss": 0.4052, + "step": 3109 + }, + { + "epoch": 2.9, + "learning_rate": 6.009267029909893e-08, + "loss": 0.4365, + "step": 3110 + }, + { + "epoch": 2.9, + "learning_rate": 5.899619086025321e-08, + "loss": 0.4296, + "step": 3111 + }, + { + "epoch": 2.9, + "learning_rate": 5.790977758887817e-08, + "loss": 0.4302, + "step": 3112 + }, + { + "epoch": 2.9, + "learning_rate": 5.6833431585067155e-08, + "loss": 0.4301, + "step": 3113 + }, + { + "epoch": 2.9, + "learning_rate": 5.576715393871612e-08, + "loss": 0.4307, + "step": 3114 + }, + { + "epoch": 2.9, + "learning_rate": 5.4710945729530285e-08, + "loss": 0.3995, + "step": 3115 + }, + { + "epoch": 2.9, + "learning_rate": 5.366480802701413e-08, + "loss": 0.4207, + "step": 3116 + }, + { + "epoch": 2.9, + "learning_rate": 5.262874189047806e-08, + "loss": 0.4315, + "step": 3117 + }, + { + "epoch": 2.9, + "learning_rate": 5.160274836903179e-08, + "loss": 0.4271, + "step": 3118 + }, + { + "epoch": 2.91, + "learning_rate": 5.058682850158758e-08, + "loss": 0.4221, + "step": 3119 + }, + { + "epoch": 2.91, + "learning_rate": 4.958098331685701e-08, + "loss": 0.4247, + "step": 3120 + }, + { + "epoch": 2.91, + "learning_rate": 4.8585213833348686e-08, + "loss": 0.4249, + "step": 3121 + }, + { + "epoch": 2.91, + "learning_rate": 4.759952105936827e-08, + "loss": 0.41, + "step": 3122 + }, + { + "epoch": 2.91, + "learning_rate": 4.66239059930218e-08, + "loss": 0.3898, + "step": 3123 + }, + { + "epoch": 2.91, + "learning_rate": 4.565836962220571e-08, + "loss": 0.4325, + "step": 3124 + }, + { + "epoch": 2.91, + "learning_rate": 4.470291292461459e-08, + "loss": 0.4148, + "step": 3125 + }, + { + "epoch": 2.91, + "learning_rate": 4.375753686773343e-08, + "loss": 0.4208, + "step": 3126 + }, + { + "epoch": 2.91, + "learning_rate": 4.282224240884314e-08, + "loss": 0.4114, + "step": 3127 + }, + { + "epoch": 2.91, + "learning_rate": 4.18970304950117e-08, + "loss": 0.4181, + "step": 3128 + }, + { + "epoch": 2.91, + "learning_rate": 4.098190206310193e-08, + "loss": 0.4323, + "step": 3129 + }, + { + "epoch": 2.92, + "learning_rate": 4.00768580397648e-08, + "loss": 0.4142, + "step": 3130 + }, + { + "epoch": 2.92, + "learning_rate": 3.918189934143724e-08, + "loss": 0.4501, + "step": 3131 + }, + { + "epoch": 2.92, + "learning_rate": 3.8297026874346554e-08, + "loss": 0.4506, + "step": 3132 + }, + { + "epoch": 2.92, + "learning_rate": 3.742224153450824e-08, + "loss": 0.4581, + "step": 3133 + }, + { + "epoch": 2.92, + "learning_rate": 3.655754420771929e-08, + "loss": 0.4061, + "step": 3134 + }, + { + "epoch": 2.92, + "learning_rate": 3.570293576956596e-08, + "loss": 0.4001, + "step": 3135 + }, + { + "epoch": 2.92, + "learning_rate": 3.4858417085416044e-08, + "loss": 0.4275, + "step": 3136 + }, + { + "epoch": 2.92, + "learning_rate": 3.4023989010421034e-08, + "loss": 0.4197, + "step": 3137 + }, + { + "epoch": 2.92, + "learning_rate": 3.319965238951617e-08, + "loss": 0.4294, + "step": 3138 + }, + { + "epoch": 2.92, + "learning_rate": 3.238540805741486e-08, + "loss": 0.4034, + "step": 3139 + }, + { + "epoch": 2.93, + "learning_rate": 3.158125683861535e-08, + "loss": 0.4293, + "step": 3140 + }, + { + "epoch": 2.93, + "learning_rate": 3.0787199547392955e-08, + "loss": 0.4071, + "step": 3141 + }, + { + "epoch": 2.93, + "learning_rate": 3.0003236987802276e-08, + "loss": 0.4037, + "step": 3142 + }, + { + "epoch": 2.93, + "learning_rate": 2.92293699536772e-08, + "loss": 0.4171, + "step": 3143 + }, + { + "epoch": 2.93, + "learning_rate": 2.8465599228627572e-08, + "loss": 0.4188, + "step": 3144 + }, + { + "epoch": 2.93, + "learning_rate": 2.77119255860403e-08, + "loss": 0.4432, + "step": 3145 + }, + { + "epoch": 2.93, + "learning_rate": 2.696834978907825e-08, + "loss": 0.424, + "step": 3146 + }, + { + "epoch": 2.93, + "learning_rate": 2.623487259068136e-08, + "loss": 0.4241, + "step": 3147 + }, + { + "epoch": 2.93, + "learning_rate": 2.551149473355885e-08, + "loss": 0.4003, + "step": 3148 + }, + { + "epoch": 2.93, + "learning_rate": 2.479821695019813e-08, + "loss": 0.4327, + "step": 3149 + }, + { + "epoch": 2.93, + "learning_rate": 2.4095039962857004e-08, + "loss": 0.4, + "step": 3150 + }, + { + "epoch": 2.94, + "learning_rate": 2.340196448356591e-08, + "loss": 0.4364, + "step": 3151 + }, + { + "epoch": 2.94, + "learning_rate": 2.2718991214126796e-08, + "loss": 0.4572, + "step": 3152 + }, + { + "epoch": 2.94, + "learning_rate": 2.2046120846112017e-08, + "loss": 0.4089, + "step": 3153 + }, + { + "epoch": 2.94, + "learning_rate": 2.1383354060864337e-08, + "loss": 0.4119, + "step": 3154 + }, + { + "epoch": 2.94, + "learning_rate": 2.0730691529493586e-08, + "loss": 0.417, + "step": 3155 + }, + { + "epoch": 2.94, + "learning_rate": 2.0088133912881114e-08, + "loss": 0.4189, + "step": 3156 + }, + { + "epoch": 2.94, + "learning_rate": 1.9455681861675348e-08, + "loss": 0.4287, + "step": 3157 + }, + { + "epoch": 2.94, + "learning_rate": 1.883333601628956e-08, + "loss": 0.42, + "step": 3158 + }, + { + "epoch": 2.94, + "learning_rate": 1.822109700690633e-08, + "loss": 0.4153, + "step": 3159 + }, + { + "epoch": 2.94, + "learning_rate": 1.761896545347308e-08, + "loss": 0.3975, + "step": 3160 + }, + { + "epoch": 2.94, + "learning_rate": 1.7026941965702093e-08, + "loss": 0.4249, + "step": 3161 + }, + { + "epoch": 2.95, + "learning_rate": 1.6445027143071612e-08, + "loss": 0.4209, + "step": 3162 + }, + { + "epoch": 2.95, + "learning_rate": 1.587322157482252e-08, + "loss": 0.4512, + "step": 3163 + }, + { + "epoch": 2.95, + "learning_rate": 1.531152583996054e-08, + "loss": 0.4297, + "step": 3164 + }, + { + "epoch": 2.95, + "learning_rate": 1.4759940507251825e-08, + "loss": 0.4077, + "step": 3165 + }, + { + "epoch": 2.95, + "learning_rate": 1.421846613522848e-08, + "loss": 0.4004, + "step": 3166 + }, + { + "epoch": 2.95, + "learning_rate": 1.3687103272181923e-08, + "loss": 0.4058, + "step": 3167 + }, + { + "epoch": 2.95, + "learning_rate": 1.3165852456163975e-08, + "loss": 0.3915, + "step": 3168 + }, + { + "epoch": 2.95, + "learning_rate": 1.2654714214990205e-08, + "loss": 0.4062, + "step": 3169 + }, + { + "epoch": 2.95, + "learning_rate": 1.2153689066233266e-08, + "loss": 0.4304, + "step": 3170 + }, + { + "epoch": 2.95, + "learning_rate": 1.166277751722622e-08, + "loss": 0.4189, + "step": 3171 + }, + { + "epoch": 2.95, + "learning_rate": 1.1181980065062547e-08, + "loss": 0.426, + "step": 3172 + }, + { + "epoch": 2.96, + "learning_rate": 1.0711297196592806e-08, + "loss": 0.4191, + "step": 3173 + }, + { + "epoch": 2.96, + "learning_rate": 1.0250729388425751e-08, + "loss": 0.4211, + "step": 3174 + }, + { + "epoch": 2.96, + "learning_rate": 9.800277106927215e-09, + "loss": 0.4105, + "step": 3175 + }, + { + "epoch": 2.96, + "learning_rate": 9.359940808223444e-09, + "loss": 0.4193, + "step": 3176 + }, + { + "epoch": 2.96, + "learning_rate": 8.929720938193331e-09, + "loss": 0.4099, + "step": 3177 + }, + { + "epoch": 2.96, + "learning_rate": 8.509617932472846e-09, + "loss": 0.4279, + "step": 3178 + }, + { + "epoch": 2.96, + "learning_rate": 8.099632216456154e-09, + "loss": 0.4187, + "step": 3179 + }, + { + "epoch": 2.96, + "learning_rate": 7.69976420528895e-09, + "loss": 0.4221, + "step": 3180 + }, + { + "epoch": 2.96, + "learning_rate": 7.310014303875124e-09, + "loss": 0.4189, + "step": 3181 + }, + { + "epoch": 2.96, + "learning_rate": 6.930382906872313e-09, + "loss": 0.4336, + "step": 3182 + }, + { + "epoch": 2.97, + "learning_rate": 6.56087039868969e-09, + "loss": 0.4121, + "step": 3183 + }, + { + "epoch": 2.97, + "learning_rate": 6.201477153493507e-09, + "loss": 0.4236, + "step": 3184 + }, + { + "epoch": 2.97, + "learning_rate": 5.852203535202661e-09, + "loss": 0.4138, + "step": 3185 + }, + { + "epoch": 2.97, + "learning_rate": 5.513049897486467e-09, + "loss": 0.4327, + "step": 3186 + }, + { + "epoch": 2.97, + "learning_rate": 5.1840165837702124e-09, + "loss": 0.4082, + "step": 3187 + }, + { + "epoch": 2.97, + "learning_rate": 4.865103927229609e-09, + "loss": 0.4304, + "step": 3188 + }, + { + "epoch": 2.97, + "learning_rate": 4.556312250793005e-09, + "loss": 0.4205, + "step": 3189 + }, + { + "epoch": 2.97, + "learning_rate": 4.257641867139173e-09, + "loss": 0.4297, + "step": 3190 + }, + { + "epoch": 2.97, + "learning_rate": 3.9690930786995266e-09, + "loss": 0.4229, + "step": 3191 + }, + { + "epoch": 2.97, + "learning_rate": 3.690666177654789e-09, + "loss": 0.418, + "step": 3192 + }, + { + "epoch": 2.97, + "learning_rate": 3.422361445938327e-09, + "loss": 0.4515, + "step": 3193 + }, + { + "epoch": 2.98, + "learning_rate": 3.1641791552339265e-09, + "loss": 0.4023, + "step": 3194 + }, + { + "epoch": 2.98, + "learning_rate": 2.916119566973574e-09, + "loss": 0.4254, + "step": 3195 + }, + { + "epoch": 2.98, + "learning_rate": 2.678182932339679e-09, + "loss": 0.3982, + "step": 3196 + }, + { + "epoch": 2.98, + "learning_rate": 2.45036949226396e-09, + "loss": 0.4034, + "step": 3197 + }, + { + "epoch": 2.98, + "learning_rate": 2.232679477430777e-09, + "loss": 0.4332, + "step": 3198 + }, + { + "epoch": 2.98, + "learning_rate": 2.025113108269361e-09, + "loss": 0.4208, + "step": 3199 + }, + { + "epoch": 2.98, + "learning_rate": 1.8276705949593631e-09, + "loss": 0.4254, + "step": 3200 + }, + { + "epoch": 2.98, + "learning_rate": 1.6403521374286357e-09, + "loss": 0.415, + "step": 3201 + }, + { + "epoch": 2.98, + "learning_rate": 1.4631579253565619e-09, + "loss": 0.4297, + "step": 3202 + }, + { + "epoch": 2.98, + "learning_rate": 1.296088138166285e-09, + "loss": 0.4237, + "step": 3203 + }, + { + "epoch": 2.98, + "learning_rate": 1.1391429450302583e-09, + "loss": 0.4174, + "step": 3204 + }, + { + "epoch": 2.99, + "learning_rate": 9.923225048724672e-10, + "loss": 0.4062, + "step": 3205 + }, + { + "epoch": 2.99, + "learning_rate": 8.556269663595462e-10, + "loss": 0.4141, + "step": 3206 + }, + { + "epoch": 2.99, + "learning_rate": 7.290564679096612e-10, + "loss": 0.3955, + "step": 3207 + }, + { + "epoch": 2.99, + "learning_rate": 6.126111376858479e-10, + "loss": 0.4041, + "step": 3208 + }, + { + "epoch": 2.99, + "learning_rate": 5.062910936004528e-10, + "loss": 0.4425, + "step": 3209 + }, + { + "epoch": 2.99, + "learning_rate": 4.1009644331180264e-10, + "loss": 0.4471, + "step": 3210 + }, + { + "epoch": 2.99, + "learning_rate": 3.240272842253145e-10, + "loss": 0.4259, + "step": 3211 + }, + { + "epoch": 2.99, + "learning_rate": 2.48083703494606e-10, + "loss": 0.4255, + "step": 3212 + }, + { + "epoch": 2.99, + "learning_rate": 1.822657780181647e-10, + "loss": 0.4269, + "step": 3213 + }, + { + "epoch": 2.99, + "learning_rate": 1.2657357444378903e-10, + "loss": 0.4131, + "step": 3214 + }, + { + "epoch": 2.99, + "learning_rate": 8.100714916414731e-11, + "loss": 0.449, + "step": 3215 + }, + { + "epoch": 3.0, + "learning_rate": 4.556654832010843e-11, + "loss": 0.4144, + "step": 3216 + }, + { + "epoch": 3.0, + "learning_rate": 2.0251807797411204e-11, + "loss": 0.4164, + "step": 3217 + }, + { + "epoch": 3.0, + "learning_rate": 5.062953231105283e-12, + "loss": 0.4226, + "step": 3218 + }, + { + "epoch": 3.0, + "learning_rate": 0.0, + "loss": 0.4039, + "step": 3219 + }, + { + "epoch": 3.0, + "step": 3219, + "total_flos": 3.5328358468691165e+19, + "train_loss": 0.5010387353106069, + "train_runtime": 53338.978, + "train_samples_per_second": 15.453, + "train_steps_per_second": 0.06 + } + ], + "max_steps": 3219, + "num_train_epochs": 3, + "total_flos": 3.5328358468691165e+19, + "trial_name": null, + "trial_params": null +}