diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,46902 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.999936, + "eval_steps": 500, + "global_step": 7812, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 2.1276595744680852e-07, + "loss": 7.2337, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 4.2553191489361704e-07, + "loss": 7.1658, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 6.382978723404255e-07, + "loss": 7.2814, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 8.510638297872341e-07, + "loss": 7.2089, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 1.0638297872340427e-06, + "loss": 7.4849, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 1.276595744680851e-06, + "loss": 7.4582, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 1.4893617021276598e-06, + "loss": 7.215, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 1.7021276595744682e-06, + "loss": 7.3466, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 1.9148936170212767e-06, + "loss": 7.3562, + "step": 9 + }, + { + "epoch": 0.0, + "learning_rate": 2.1276595744680853e-06, + "loss": 7.0391, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 2.3404255319148935e-06, + "loss": 7.196, + "step": 11 + }, + { + "epoch": 0.0, + "learning_rate": 2.553191489361702e-06, + "loss": 7.3886, + "step": 12 + }, + { + "epoch": 0.0, + "learning_rate": 2.7659574468085106e-06, + "loss": 7.1922, + "step": 13 + }, + { + "epoch": 0.0, + "learning_rate": 2.9787234042553196e-06, + "loss": 6.9816, + "step": 14 + }, + { + "epoch": 0.0, + "learning_rate": 3.1914893617021277e-06, + "loss": 6.9384, + "step": 15 + }, + { + "epoch": 0.0, + "learning_rate": 3.4042553191489363e-06, + "loss": 7.0205, + "step": 16 + }, + { + "epoch": 0.0, + "learning_rate": 3.6170212765957445e-06, + "loss": 6.8183, + "step": 17 + }, + { + "epoch": 0.0, + "learning_rate": 3.8297872340425535e-06, + "loss": 6.852, + "step": 18 + }, + { + "epoch": 0.0, + "learning_rate": 4.0425531914893625e-06, + "loss": 6.4585, + "step": 19 + }, + { + "epoch": 0.0, + "learning_rate": 4.255319148936171e-06, + "loss": 6.4334, + "step": 20 + }, + { + "epoch": 0.0, + "learning_rate": 4.468085106382979e-06, + "loss": 6.4218, + "step": 21 + }, + { + "epoch": 0.0, + "learning_rate": 4.680851063829787e-06, + "loss": 6.4161, + "step": 22 + }, + { + "epoch": 0.0, + "learning_rate": 4.893617021276596e-06, + "loss": 6.2431, + "step": 23 + }, + { + "epoch": 0.0, + "learning_rate": 5.106382978723404e-06, + "loss": 6.0215, + "step": 24 + }, + { + "epoch": 0.0, + "learning_rate": 5.319148936170213e-06, + "loss": 6.3608, + "step": 25 + }, + { + "epoch": 0.0, + "learning_rate": 5.531914893617021e-06, + "loss": 6.1681, + "step": 26 + }, + { + "epoch": 0.0, + "learning_rate": 5.74468085106383e-06, + "loss": 5.8055, + "step": 27 + }, + { + "epoch": 0.0, + "learning_rate": 5.957446808510639e-06, + "loss": 5.856, + "step": 28 + }, + { + "epoch": 0.0, + "learning_rate": 6.170212765957447e-06, + "loss": 5.7973, + "step": 29 + }, + { + "epoch": 0.0, + "learning_rate": 6.3829787234042555e-06, + "loss": 5.8657, + "step": 30 + }, + { + "epoch": 0.0, + "learning_rate": 6.595744680851064e-06, + "loss": 5.7734, + "step": 31 + }, + { + "epoch": 0.0, + "learning_rate": 6.808510638297873e-06, + "loss": 5.7149, + "step": 32 + }, + { + "epoch": 0.0, + "learning_rate": 7.021276595744682e-06, + "loss": 5.5112, + "step": 33 + }, + { + "epoch": 0.0, + "learning_rate": 7.234042553191489e-06, + "loss": 5.4984, + "step": 34 + }, + { + "epoch": 0.0, + "learning_rate": 7.446808510638298e-06, + "loss": 5.3471, + "step": 35 + }, + { + "epoch": 0.0, + "learning_rate": 7.659574468085107e-06, + "loss": 5.4807, + "step": 36 + }, + { + "epoch": 0.0, + "learning_rate": 7.872340425531916e-06, + "loss": 5.3411, + "step": 37 + }, + { + "epoch": 0.0, + "learning_rate": 8.085106382978725e-06, + "loss": 5.4824, + "step": 38 + }, + { + "epoch": 0.0, + "learning_rate": 8.297872340425532e-06, + "loss": 5.324, + "step": 39 + }, + { + "epoch": 0.01, + "learning_rate": 8.510638297872341e-06, + "loss": 5.3449, + "step": 40 + }, + { + "epoch": 0.01, + "learning_rate": 8.72340425531915e-06, + "loss": 5.0277, + "step": 41 + }, + { + "epoch": 0.01, + "learning_rate": 8.936170212765958e-06, + "loss": 5.3652, + "step": 42 + }, + { + "epoch": 0.01, + "learning_rate": 9.148936170212767e-06, + "loss": 5.3244, + "step": 43 + }, + { + "epoch": 0.01, + "learning_rate": 9.361702127659574e-06, + "loss": 5.1823, + "step": 44 + }, + { + "epoch": 0.01, + "learning_rate": 9.574468085106383e-06, + "loss": 5.1715, + "step": 45 + }, + { + "epoch": 0.01, + "learning_rate": 9.787234042553192e-06, + "loss": 5.1764, + "step": 46 + }, + { + "epoch": 0.01, + "learning_rate": 1e-05, + "loss": 5.201, + "step": 47 + }, + { + "epoch": 0.01, + "learning_rate": 1.0212765957446808e-05, + "loss": 5.1505, + "step": 48 + }, + { + "epoch": 0.01, + "learning_rate": 1.0425531914893617e-05, + "loss": 5.0963, + "step": 49 + }, + { + "epoch": 0.01, + "learning_rate": 1.0638297872340426e-05, + "loss": 4.9216, + "step": 50 + }, + { + "epoch": 0.01, + "learning_rate": 1.0851063829787235e-05, + "loss": 5.0673, + "step": 51 + }, + { + "epoch": 0.01, + "learning_rate": 1.1063829787234042e-05, + "loss": 4.9394, + "step": 52 + }, + { + "epoch": 0.01, + "learning_rate": 1.1276595744680851e-05, + "loss": 5.1486, + "step": 53 + }, + { + "epoch": 0.01, + "learning_rate": 1.148936170212766e-05, + "loss": 5.1486, + "step": 54 + }, + { + "epoch": 0.01, + "learning_rate": 1.170212765957447e-05, + "loss": 5.0461, + "step": 55 + }, + { + "epoch": 0.01, + "learning_rate": 1.1914893617021278e-05, + "loss": 5.0349, + "step": 56 + }, + { + "epoch": 0.01, + "learning_rate": 1.2127659574468086e-05, + "loss": 5.0316, + "step": 57 + }, + { + "epoch": 0.01, + "learning_rate": 1.2340425531914895e-05, + "loss": 4.9805, + "step": 58 + }, + { + "epoch": 0.01, + "learning_rate": 1.2553191489361702e-05, + "loss": 4.8778, + "step": 59 + }, + { + "epoch": 0.01, + "learning_rate": 1.2765957446808511e-05, + "loss": 4.8611, + "step": 60 + }, + { + "epoch": 0.01, + "learning_rate": 1.2978723404255318e-05, + "loss": 5.0053, + "step": 61 + }, + { + "epoch": 0.01, + "learning_rate": 1.3191489361702127e-05, + "loss": 4.9357, + "step": 62 + }, + { + "epoch": 0.01, + "learning_rate": 1.3404255319148936e-05, + "loss": 4.9937, + "step": 63 + }, + { + "epoch": 0.01, + "learning_rate": 1.3617021276595745e-05, + "loss": 4.8656, + "step": 64 + }, + { + "epoch": 0.01, + "learning_rate": 1.3829787234042554e-05, + "loss": 4.9931, + "step": 65 + }, + { + "epoch": 0.01, + "learning_rate": 1.4042553191489363e-05, + "loss": 4.817, + "step": 66 + }, + { + "epoch": 0.01, + "learning_rate": 1.4255319148936172e-05, + "loss": 4.9878, + "step": 67 + }, + { + "epoch": 0.01, + "learning_rate": 1.4468085106382978e-05, + "loss": 4.9053, + "step": 68 + }, + { + "epoch": 0.01, + "learning_rate": 1.4680851063829787e-05, + "loss": 4.7607, + "step": 69 + }, + { + "epoch": 0.01, + "learning_rate": 1.4893617021276596e-05, + "loss": 4.9439, + "step": 70 + }, + { + "epoch": 0.01, + "learning_rate": 1.5106382978723405e-05, + "loss": 4.9002, + "step": 71 + }, + { + "epoch": 0.01, + "learning_rate": 1.5319148936170214e-05, + "loss": 4.6928, + "step": 72 + }, + { + "epoch": 0.01, + "learning_rate": 1.5531914893617023e-05, + "loss": 4.9673, + "step": 73 + }, + { + "epoch": 0.01, + "learning_rate": 1.5744680851063832e-05, + "loss": 4.7843, + "step": 74 + }, + { + "epoch": 0.01, + "learning_rate": 1.595744680851064e-05, + "loss": 4.8585, + "step": 75 + }, + { + "epoch": 0.01, + "learning_rate": 1.617021276595745e-05, + "loss": 4.9782, + "step": 76 + }, + { + "epoch": 0.01, + "learning_rate": 1.6382978723404255e-05, + "loss": 4.8606, + "step": 77 + }, + { + "epoch": 0.01, + "learning_rate": 1.6595744680851064e-05, + "loss": 4.8019, + "step": 78 + }, + { + "epoch": 0.01, + "learning_rate": 1.6808510638297873e-05, + "loss": 4.838, + "step": 79 + }, + { + "epoch": 0.01, + "learning_rate": 1.7021276595744682e-05, + "loss": 4.9076, + "step": 80 + }, + { + "epoch": 0.01, + "learning_rate": 1.723404255319149e-05, + "loss": 4.8275, + "step": 81 + }, + { + "epoch": 0.01, + "learning_rate": 1.74468085106383e-05, + "loss": 4.9279, + "step": 82 + }, + { + "epoch": 0.01, + "learning_rate": 1.7659574468085106e-05, + "loss": 4.8378, + "step": 83 + }, + { + "epoch": 0.01, + "learning_rate": 1.7872340425531915e-05, + "loss": 4.6865, + "step": 84 + }, + { + "epoch": 0.01, + "learning_rate": 1.8085106382978724e-05, + "loss": 4.894, + "step": 85 + }, + { + "epoch": 0.01, + "learning_rate": 1.8297872340425533e-05, + "loss": 4.8122, + "step": 86 + }, + { + "epoch": 0.01, + "learning_rate": 1.851063829787234e-05, + "loss": 4.9217, + "step": 87 + }, + { + "epoch": 0.01, + "learning_rate": 1.8723404255319148e-05, + "loss": 4.9306, + "step": 88 + }, + { + "epoch": 0.01, + "learning_rate": 1.8936170212765957e-05, + "loss": 4.9778, + "step": 89 + }, + { + "epoch": 0.01, + "learning_rate": 1.9148936170212766e-05, + "loss": 4.9594, + "step": 90 + }, + { + "epoch": 0.01, + "learning_rate": 1.9361702127659575e-05, + "loss": 4.9742, + "step": 91 + }, + { + "epoch": 0.01, + "learning_rate": 1.9574468085106384e-05, + "loss": 4.8013, + "step": 92 + }, + { + "epoch": 0.01, + "learning_rate": 1.9787234042553193e-05, + "loss": 4.7021, + "step": 93 + }, + { + "epoch": 0.01, + "learning_rate": 2e-05, + "loss": 4.7574, + "step": 94 + }, + { + "epoch": 0.01, + "learning_rate": 2.0212765957446807e-05, + "loss": 4.7327, + "step": 95 + }, + { + "epoch": 0.01, + "learning_rate": 2.0425531914893616e-05, + "loss": 4.7573, + "step": 96 + }, + { + "epoch": 0.01, + "learning_rate": 2.0638297872340425e-05, + "loss": 4.6812, + "step": 97 + }, + { + "epoch": 0.01, + "learning_rate": 2.0851063829787234e-05, + "loss": 4.8831, + "step": 98 + }, + { + "epoch": 0.01, + "learning_rate": 2.1063829787234043e-05, + "loss": 4.6588, + "step": 99 + }, + { + "epoch": 0.01, + "learning_rate": 2.1276595744680852e-05, + "loss": 4.8483, + "step": 100 + }, + { + "epoch": 0.01, + "learning_rate": 2.148936170212766e-05, + "loss": 4.7552, + "step": 101 + }, + { + "epoch": 0.01, + "learning_rate": 2.170212765957447e-05, + "loss": 4.6502, + "step": 102 + }, + { + "epoch": 0.01, + "learning_rate": 2.191489361702128e-05, + "loss": 4.8011, + "step": 103 + }, + { + "epoch": 0.01, + "learning_rate": 2.2127659574468085e-05, + "loss": 4.5011, + "step": 104 + }, + { + "epoch": 0.01, + "learning_rate": 2.2340425531914894e-05, + "loss": 4.693, + "step": 105 + }, + { + "epoch": 0.01, + "learning_rate": 2.2553191489361703e-05, + "loss": 4.8079, + "step": 106 + }, + { + "epoch": 0.01, + "learning_rate": 2.2765957446808512e-05, + "loss": 4.7065, + "step": 107 + }, + { + "epoch": 0.01, + "learning_rate": 2.297872340425532e-05, + "loss": 4.7952, + "step": 108 + }, + { + "epoch": 0.01, + "learning_rate": 2.319148936170213e-05, + "loss": 4.7126, + "step": 109 + }, + { + "epoch": 0.01, + "learning_rate": 2.340425531914894e-05, + "loss": 4.8334, + "step": 110 + }, + { + "epoch": 0.01, + "learning_rate": 2.3617021276595748e-05, + "loss": 4.6695, + "step": 111 + }, + { + "epoch": 0.01, + "learning_rate": 2.3829787234042557e-05, + "loss": 4.592, + "step": 112 + }, + { + "epoch": 0.01, + "learning_rate": 2.4042553191489362e-05, + "loss": 4.81, + "step": 113 + }, + { + "epoch": 0.01, + "learning_rate": 2.425531914893617e-05, + "loss": 4.9104, + "step": 114 + }, + { + "epoch": 0.01, + "learning_rate": 2.446808510638298e-05, + "loss": 4.8179, + "step": 115 + }, + { + "epoch": 0.01, + "learning_rate": 2.468085106382979e-05, + "loss": 4.6547, + "step": 116 + }, + { + "epoch": 0.01, + "learning_rate": 2.48936170212766e-05, + "loss": 4.864, + "step": 117 + }, + { + "epoch": 0.02, + "learning_rate": 2.5106382978723404e-05, + "loss": 4.8087, + "step": 118 + }, + { + "epoch": 0.02, + "learning_rate": 2.5319148936170213e-05, + "loss": 4.7246, + "step": 119 + }, + { + "epoch": 0.02, + "learning_rate": 2.5531914893617022e-05, + "loss": 4.6586, + "step": 120 + }, + { + "epoch": 0.02, + "learning_rate": 2.574468085106383e-05, + "loss": 4.7445, + "step": 121 + }, + { + "epoch": 0.02, + "learning_rate": 2.5957446808510637e-05, + "loss": 4.6976, + "step": 122 + }, + { + "epoch": 0.02, + "learning_rate": 2.6170212765957446e-05, + "loss": 4.852, + "step": 123 + }, + { + "epoch": 0.02, + "learning_rate": 2.6382978723404255e-05, + "loss": 4.8769, + "step": 124 + }, + { + "epoch": 0.02, + "learning_rate": 2.6595744680851064e-05, + "loss": 4.5629, + "step": 125 + }, + { + "epoch": 0.02, + "learning_rate": 2.6808510638297873e-05, + "loss": 4.633, + "step": 126 + }, + { + "epoch": 0.02, + "learning_rate": 2.702127659574468e-05, + "loss": 4.8485, + "step": 127 + }, + { + "epoch": 0.02, + "learning_rate": 2.723404255319149e-05, + "loss": 4.917, + "step": 128 + }, + { + "epoch": 0.02, + "learning_rate": 2.74468085106383e-05, + "loss": 4.7839, + "step": 129 + }, + { + "epoch": 0.02, + "learning_rate": 2.765957446808511e-05, + "loss": 4.7073, + "step": 130 + }, + { + "epoch": 0.02, + "learning_rate": 2.7872340425531918e-05, + "loss": 4.7181, + "step": 131 + }, + { + "epoch": 0.02, + "learning_rate": 2.8085106382978727e-05, + "loss": 4.7087, + "step": 132 + }, + { + "epoch": 0.02, + "learning_rate": 2.8297872340425536e-05, + "loss": 4.8666, + "step": 133 + }, + { + "epoch": 0.02, + "learning_rate": 2.8510638297872345e-05, + "loss": 4.8129, + "step": 134 + }, + { + "epoch": 0.02, + "learning_rate": 2.8723404255319154e-05, + "loss": 4.6487, + "step": 135 + }, + { + "epoch": 0.02, + "learning_rate": 2.8936170212765956e-05, + "loss": 4.7248, + "step": 136 + }, + { + "epoch": 0.02, + "learning_rate": 2.9148936170212765e-05, + "loss": 4.7094, + "step": 137 + }, + { + "epoch": 0.02, + "learning_rate": 2.9361702127659574e-05, + "loss": 4.6201, + "step": 138 + }, + { + "epoch": 0.02, + "learning_rate": 2.9574468085106383e-05, + "loss": 4.7941, + "step": 139 + }, + { + "epoch": 0.02, + "learning_rate": 2.9787234042553192e-05, + "loss": 4.7119, + "step": 140 + }, + { + "epoch": 0.02, + "learning_rate": 3e-05, + "loss": 4.7826, + "step": 141 + }, + { + "epoch": 0.02, + "learning_rate": 3.021276595744681e-05, + "loss": 4.8585, + "step": 142 + }, + { + "epoch": 0.02, + "learning_rate": 3.042553191489362e-05, + "loss": 4.7802, + "step": 143 + }, + { + "epoch": 0.02, + "learning_rate": 3.063829787234043e-05, + "loss": 4.7089, + "step": 144 + }, + { + "epoch": 0.02, + "learning_rate": 3.085106382978723e-05, + "loss": 4.5336, + "step": 145 + }, + { + "epoch": 0.02, + "learning_rate": 3.1063829787234046e-05, + "loss": 4.7329, + "step": 146 + }, + { + "epoch": 0.02, + "learning_rate": 3.127659574468085e-05, + "loss": 4.5218, + "step": 147 + }, + { + "epoch": 0.02, + "learning_rate": 3.1489361702127664e-05, + "loss": 4.6917, + "step": 148 + }, + { + "epoch": 0.02, + "learning_rate": 3.170212765957447e-05, + "loss": 4.7, + "step": 149 + }, + { + "epoch": 0.02, + "learning_rate": 3.191489361702128e-05, + "loss": 4.65, + "step": 150 + }, + { + "epoch": 0.02, + "learning_rate": 3.212765957446809e-05, + "loss": 4.7023, + "step": 151 + }, + { + "epoch": 0.02, + "learning_rate": 3.23404255319149e-05, + "loss": 4.6216, + "step": 152 + }, + { + "epoch": 0.02, + "learning_rate": 3.2553191489361705e-05, + "loss": 4.5945, + "step": 153 + }, + { + "epoch": 0.02, + "learning_rate": 3.276595744680851e-05, + "loss": 4.6735, + "step": 154 + }, + { + "epoch": 0.02, + "learning_rate": 3.2978723404255317e-05, + "loss": 4.6966, + "step": 155 + }, + { + "epoch": 0.02, + "learning_rate": 3.319148936170213e-05, + "loss": 4.707, + "step": 156 + }, + { + "epoch": 0.02, + "learning_rate": 3.3404255319148935e-05, + "loss": 4.554, + "step": 157 + }, + { + "epoch": 0.02, + "learning_rate": 3.361702127659575e-05, + "loss": 4.5863, + "step": 158 + }, + { + "epoch": 0.02, + "learning_rate": 3.382978723404255e-05, + "loss": 4.8523, + "step": 159 + }, + { + "epoch": 0.02, + "learning_rate": 3.4042553191489365e-05, + "loss": 4.6818, + "step": 160 + }, + { + "epoch": 0.02, + "learning_rate": 3.425531914893617e-05, + "loss": 4.5766, + "step": 161 + }, + { + "epoch": 0.02, + "learning_rate": 3.446808510638298e-05, + "loss": 4.787, + "step": 162 + }, + { + "epoch": 0.02, + "learning_rate": 3.468085106382979e-05, + "loss": 4.7453, + "step": 163 + }, + { + "epoch": 0.02, + "learning_rate": 3.48936170212766e-05, + "loss": 4.6623, + "step": 164 + }, + { + "epoch": 0.02, + "learning_rate": 3.5106382978723407e-05, + "loss": 4.672, + "step": 165 + }, + { + "epoch": 0.02, + "learning_rate": 3.531914893617021e-05, + "loss": 4.6886, + "step": 166 + }, + { + "epoch": 0.02, + "learning_rate": 3.5531914893617025e-05, + "loss": 4.7795, + "step": 167 + }, + { + "epoch": 0.02, + "learning_rate": 3.574468085106383e-05, + "loss": 4.5524, + "step": 168 + }, + { + "epoch": 0.02, + "learning_rate": 3.595744680851064e-05, + "loss": 4.8248, + "step": 169 + }, + { + "epoch": 0.02, + "learning_rate": 3.617021276595745e-05, + "loss": 4.5389, + "step": 170 + }, + { + "epoch": 0.02, + "learning_rate": 3.638297872340426e-05, + "loss": 4.7269, + "step": 171 + }, + { + "epoch": 0.02, + "learning_rate": 3.6595744680851066e-05, + "loss": 4.6433, + "step": 172 + }, + { + "epoch": 0.02, + "learning_rate": 3.680851063829787e-05, + "loss": 4.5755, + "step": 173 + }, + { + "epoch": 0.02, + "learning_rate": 3.702127659574468e-05, + "loss": 4.6813, + "step": 174 + }, + { + "epoch": 0.02, + "learning_rate": 3.723404255319149e-05, + "loss": 4.7619, + "step": 175 + }, + { + "epoch": 0.02, + "learning_rate": 3.7446808510638295e-05, + "loss": 4.5635, + "step": 176 + }, + { + "epoch": 0.02, + "learning_rate": 3.765957446808511e-05, + "loss": 4.7317, + "step": 177 + }, + { + "epoch": 0.02, + "learning_rate": 3.787234042553191e-05, + "loss": 4.5974, + "step": 178 + }, + { + "epoch": 0.02, + "learning_rate": 3.8085106382978726e-05, + "loss": 4.63, + "step": 179 + }, + { + "epoch": 0.02, + "learning_rate": 3.829787234042553e-05, + "loss": 4.6693, + "step": 180 + }, + { + "epoch": 0.02, + "learning_rate": 3.8510638297872344e-05, + "loss": 4.6714, + "step": 181 + }, + { + "epoch": 0.02, + "learning_rate": 3.872340425531915e-05, + "loss": 4.6406, + "step": 182 + }, + { + "epoch": 0.02, + "learning_rate": 3.893617021276596e-05, + "loss": 4.6028, + "step": 183 + }, + { + "epoch": 0.02, + "learning_rate": 3.914893617021277e-05, + "loss": 4.6118, + "step": 184 + }, + { + "epoch": 0.02, + "learning_rate": 3.936170212765958e-05, + "loss": 4.7598, + "step": 185 + }, + { + "epoch": 0.02, + "learning_rate": 3.9574468085106385e-05, + "loss": 4.7055, + "step": 186 + }, + { + "epoch": 0.02, + "learning_rate": 3.97872340425532e-05, + "loss": 4.5894, + "step": 187 + }, + { + "epoch": 0.02, + "learning_rate": 4e-05, + "loss": 4.5895, + "step": 188 + }, + { + "epoch": 0.02, + "learning_rate": 4.0212765957446816e-05, + "loss": 4.6393, + "step": 189 + }, + { + "epoch": 0.02, + "learning_rate": 4.0425531914893614e-05, + "loss": 4.6297, + "step": 190 + }, + { + "epoch": 0.02, + "learning_rate": 4.063829787234043e-05, + "loss": 4.5015, + "step": 191 + }, + { + "epoch": 0.02, + "learning_rate": 4.085106382978723e-05, + "loss": 4.586, + "step": 192 + }, + { + "epoch": 0.02, + "learning_rate": 4.1063829787234045e-05, + "loss": 4.7105, + "step": 193 + }, + { + "epoch": 0.02, + "learning_rate": 4.127659574468085e-05, + "loss": 4.5832, + "step": 194 + }, + { + "epoch": 0.02, + "learning_rate": 4.148936170212766e-05, + "loss": 4.8557, + "step": 195 + }, + { + "epoch": 0.03, + "learning_rate": 4.170212765957447e-05, + "loss": 4.6022, + "step": 196 + }, + { + "epoch": 0.03, + "learning_rate": 4.191489361702128e-05, + "loss": 4.58, + "step": 197 + }, + { + "epoch": 0.03, + "learning_rate": 4.2127659574468086e-05, + "loss": 4.5312, + "step": 198 + }, + { + "epoch": 0.03, + "learning_rate": 4.23404255319149e-05, + "loss": 4.6516, + "step": 199 + }, + { + "epoch": 0.03, + "learning_rate": 4.2553191489361704e-05, + "loss": 4.6527, + "step": 200 + }, + { + "epoch": 0.03, + "learning_rate": 4.276595744680851e-05, + "loss": 4.5332, + "step": 201 + }, + { + "epoch": 0.03, + "learning_rate": 4.297872340425532e-05, + "loss": 4.53, + "step": 202 + }, + { + "epoch": 0.03, + "learning_rate": 4.319148936170213e-05, + "loss": 4.6744, + "step": 203 + }, + { + "epoch": 0.03, + "learning_rate": 4.340425531914894e-05, + "loss": 4.6157, + "step": 204 + }, + { + "epoch": 0.03, + "learning_rate": 4.3617021276595746e-05, + "loss": 4.5896, + "step": 205 + }, + { + "epoch": 0.03, + "learning_rate": 4.382978723404256e-05, + "loss": 4.5386, + "step": 206 + }, + { + "epoch": 0.03, + "learning_rate": 4.4042553191489364e-05, + "loss": 4.5069, + "step": 207 + }, + { + "epoch": 0.03, + "learning_rate": 4.425531914893617e-05, + "loss": 4.6042, + "step": 208 + }, + { + "epoch": 0.03, + "learning_rate": 4.4468085106382975e-05, + "loss": 4.5368, + "step": 209 + }, + { + "epoch": 0.03, + "learning_rate": 4.468085106382979e-05, + "loss": 4.6522, + "step": 210 + }, + { + "epoch": 0.03, + "learning_rate": 4.489361702127659e-05, + "loss": 4.4118, + "step": 211 + }, + { + "epoch": 0.03, + "learning_rate": 4.5106382978723406e-05, + "loss": 4.578, + "step": 212 + }, + { + "epoch": 0.03, + "learning_rate": 4.531914893617021e-05, + "loss": 4.6079, + "step": 213 + }, + { + "epoch": 0.03, + "learning_rate": 4.5531914893617024e-05, + "loss": 4.4768, + "step": 214 + }, + { + "epoch": 0.03, + "learning_rate": 4.574468085106383e-05, + "loss": 4.4573, + "step": 215 + }, + { + "epoch": 0.03, + "learning_rate": 4.595744680851064e-05, + "loss": 4.4481, + "step": 216 + }, + { + "epoch": 0.03, + "learning_rate": 4.617021276595745e-05, + "loss": 4.5604, + "step": 217 + }, + { + "epoch": 0.03, + "learning_rate": 4.638297872340426e-05, + "loss": 4.52, + "step": 218 + }, + { + "epoch": 0.03, + "learning_rate": 4.6595744680851065e-05, + "loss": 4.5189, + "step": 219 + }, + { + "epoch": 0.03, + "learning_rate": 4.680851063829788e-05, + "loss": 4.6628, + "step": 220 + }, + { + "epoch": 0.03, + "learning_rate": 4.702127659574468e-05, + "loss": 4.5661, + "step": 221 + }, + { + "epoch": 0.03, + "learning_rate": 4.7234042553191496e-05, + "loss": 4.5492, + "step": 222 + }, + { + "epoch": 0.03, + "learning_rate": 4.74468085106383e-05, + "loss": 4.4612, + "step": 223 + }, + { + "epoch": 0.03, + "learning_rate": 4.7659574468085114e-05, + "loss": 4.5493, + "step": 224 + }, + { + "epoch": 0.03, + "learning_rate": 4.787234042553192e-05, + "loss": 4.4688, + "step": 225 + }, + { + "epoch": 0.03, + "learning_rate": 4.8085106382978725e-05, + "loss": 4.5306, + "step": 226 + }, + { + "epoch": 0.03, + "learning_rate": 4.829787234042553e-05, + "loss": 4.4831, + "step": 227 + }, + { + "epoch": 0.03, + "learning_rate": 4.851063829787234e-05, + "loss": 4.5474, + "step": 228 + }, + { + "epoch": 0.03, + "learning_rate": 4.872340425531915e-05, + "loss": 4.6285, + "step": 229 + }, + { + "epoch": 0.03, + "learning_rate": 4.893617021276596e-05, + "loss": 4.3553, + "step": 230 + }, + { + "epoch": 0.03, + "learning_rate": 4.9148936170212766e-05, + "loss": 4.5119, + "step": 231 + }, + { + "epoch": 0.03, + "learning_rate": 4.936170212765958e-05, + "loss": 4.5199, + "step": 232 + }, + { + "epoch": 0.03, + "learning_rate": 4.9574468085106384e-05, + "loss": 4.5668, + "step": 233 + }, + { + "epoch": 0.03, + "learning_rate": 4.97872340425532e-05, + "loss": 4.395, + "step": 234 + }, + { + "epoch": 0.03, + "learning_rate": 5e-05, + "loss": 4.5401, + "step": 235 + }, + { + "epoch": 0.03, + "learning_rate": 4.999999785110509e-05, + "loss": 4.4169, + "step": 236 + }, + { + "epoch": 0.03, + "learning_rate": 4.9999991404420723e-05, + "loss": 4.4615, + "step": 237 + }, + { + "epoch": 0.03, + "learning_rate": 4.999998065994801e-05, + "loss": 4.6885, + "step": 238 + }, + { + "epoch": 0.03, + "learning_rate": 4.9999965617688795e-05, + "loss": 4.5812, + "step": 239 + }, + { + "epoch": 0.03, + "learning_rate": 4.999994627764566e-05, + "loss": 4.4672, + "step": 240 + }, + { + "epoch": 0.03, + "learning_rate": 4.9999922639821945e-05, + "loss": 4.3989, + "step": 241 + }, + { + "epoch": 0.03, + "learning_rate": 4.99998947042217e-05, + "loss": 4.2842, + "step": 242 + }, + { + "epoch": 0.03, + "learning_rate": 4.999986247084974e-05, + "loss": 4.5529, + "step": 243 + }, + { + "epoch": 0.03, + "learning_rate": 4.999982593971158e-05, + "loss": 4.514, + "step": 244 + }, + { + "epoch": 0.03, + "learning_rate": 4.999978511081353e-05, + "loss": 4.4693, + "step": 245 + }, + { + "epoch": 0.03, + "learning_rate": 4.9999739984162596e-05, + "loss": 4.471, + "step": 246 + }, + { + "epoch": 0.03, + "learning_rate": 4.9999690559766535e-05, + "loss": 4.5484, + "step": 247 + }, + { + "epoch": 0.03, + "learning_rate": 4.999963683763384e-05, + "loss": 4.34, + "step": 248 + }, + { + "epoch": 0.03, + "learning_rate": 4.999957881777377e-05, + "loss": 4.3423, + "step": 249 + }, + { + "epoch": 0.03, + "learning_rate": 4.9999516500196264e-05, + "loss": 4.6455, + "step": 250 + }, + { + "epoch": 0.03, + "learning_rate": 4.9999449884912066e-05, + "loss": 4.488, + "step": 251 + }, + { + "epoch": 0.03, + "learning_rate": 4.99993789719326e-05, + "loss": 4.6493, + "step": 252 + }, + { + "epoch": 0.03, + "learning_rate": 4.999930376127008e-05, + "loss": 4.5202, + "step": 253 + }, + { + "epoch": 0.03, + "learning_rate": 4.999922425293743e-05, + "loss": 4.4861, + "step": 254 + }, + { + "epoch": 0.03, + "learning_rate": 4.99991404469483e-05, + "loss": 4.5522, + "step": 255 + }, + { + "epoch": 0.03, + "learning_rate": 4.999905234331712e-05, + "loss": 4.4995, + "step": 256 + }, + { + "epoch": 0.03, + "learning_rate": 4.9998959942059034e-05, + "loss": 4.5491, + "step": 257 + }, + { + "epoch": 0.03, + "learning_rate": 4.999886324318992e-05, + "loss": 4.4177, + "step": 258 + }, + { + "epoch": 0.03, + "learning_rate": 4.9998762246726395e-05, + "loss": 4.459, + "step": 259 + }, + { + "epoch": 0.03, + "learning_rate": 4.999865695268584e-05, + "loss": 4.4436, + "step": 260 + }, + { + "epoch": 0.03, + "learning_rate": 4.999854736108633e-05, + "loss": 4.378, + "step": 261 + }, + { + "epoch": 0.03, + "learning_rate": 4.999843347194674e-05, + "loss": 4.4882, + "step": 262 + }, + { + "epoch": 0.03, + "learning_rate": 4.999831528528662e-05, + "loss": 4.506, + "step": 263 + }, + { + "epoch": 0.03, + "learning_rate": 4.999819280112629e-05, + "loss": 4.5786, + "step": 264 + }, + { + "epoch": 0.03, + "learning_rate": 4.9998066019486825e-05, + "loss": 4.3976, + "step": 265 + }, + { + "epoch": 0.03, + "learning_rate": 4.999793494039e-05, + "loss": 4.4671, + "step": 266 + }, + { + "epoch": 0.03, + "learning_rate": 4.999779956385837e-05, + "loss": 4.4886, + "step": 267 + }, + { + "epoch": 0.03, + "learning_rate": 4.999765988991518e-05, + "loss": 4.3905, + "step": 268 + }, + { + "epoch": 0.03, + "learning_rate": 4.999751591858447e-05, + "loss": 4.3452, + "step": 269 + }, + { + "epoch": 0.03, + "learning_rate": 4.999736764989097e-05, + "loss": 4.2806, + "step": 270 + }, + { + "epoch": 0.03, + "learning_rate": 4.999721508386018e-05, + "loss": 4.5325, + "step": 271 + }, + { + "epoch": 0.03, + "learning_rate": 4.999705822051832e-05, + "loss": 4.5635, + "step": 272 + }, + { + "epoch": 0.03, + "learning_rate": 4.9996897059892366e-05, + "loss": 4.5472, + "step": 273 + }, + { + "epoch": 0.04, + "learning_rate": 4.999673160201002e-05, + "loss": 4.3622, + "step": 274 + }, + { + "epoch": 0.04, + "learning_rate": 4.999656184689972e-05, + "loss": 4.4795, + "step": 275 + }, + { + "epoch": 0.04, + "learning_rate": 4.9996387794590656e-05, + "loss": 4.4696, + "step": 276 + }, + { + "epoch": 0.04, + "learning_rate": 4.999620944511274e-05, + "loss": 4.4223, + "step": 277 + }, + { + "epoch": 0.04, + "learning_rate": 4.9996026798496656e-05, + "loss": 4.3658, + "step": 278 + }, + { + "epoch": 0.04, + "learning_rate": 4.999583985477377e-05, + "loss": 4.4523, + "step": 279 + }, + { + "epoch": 0.04, + "learning_rate": 4.999564861397624e-05, + "loss": 4.3669, + "step": 280 + }, + { + "epoch": 0.04, + "learning_rate": 4.999545307613694e-05, + "loss": 4.5325, + "step": 281 + }, + { + "epoch": 0.04, + "learning_rate": 4.999525324128949e-05, + "loss": 4.3615, + "step": 282 + }, + { + "epoch": 0.04, + "learning_rate": 4.999504910946824e-05, + "loss": 4.485, + "step": 283 + }, + { + "epoch": 0.04, + "learning_rate": 4.999484068070827e-05, + "loss": 4.3723, + "step": 284 + }, + { + "epoch": 0.04, + "learning_rate": 4.999462795504543e-05, + "loss": 4.4909, + "step": 285 + }, + { + "epoch": 0.04, + "learning_rate": 4.9994410932516276e-05, + "loss": 4.461, + "step": 286 + }, + { + "epoch": 0.04, + "learning_rate": 4.9994189613158124e-05, + "loss": 4.4414, + "step": 287 + }, + { + "epoch": 0.04, + "learning_rate": 4.9993963997009016e-05, + "loss": 4.4895, + "step": 288 + }, + { + "epoch": 0.04, + "learning_rate": 4.999373408410775e-05, + "loss": 4.5494, + "step": 289 + }, + { + "epoch": 0.04, + "learning_rate": 4.999349987449384e-05, + "loss": 4.5011, + "step": 290 + }, + { + "epoch": 0.04, + "learning_rate": 4.999326136820755e-05, + "loss": 4.5134, + "step": 291 + }, + { + "epoch": 0.04, + "learning_rate": 4.9993018565289884e-05, + "loss": 4.5029, + "step": 292 + }, + { + "epoch": 0.04, + "learning_rate": 4.9992771465782585e-05, + "loss": 4.3493, + "step": 293 + }, + { + "epoch": 0.04, + "learning_rate": 4.999252006972813e-05, + "loss": 4.2876, + "step": 294 + }, + { + "epoch": 0.04, + "learning_rate": 4.999226437716974e-05, + "loss": 4.3559, + "step": 295 + }, + { + "epoch": 0.04, + "learning_rate": 4.999200438815136e-05, + "loss": 4.3004, + "step": 296 + }, + { + "epoch": 0.04, + "learning_rate": 4.99917401027177e-05, + "loss": 4.2749, + "step": 297 + }, + { + "epoch": 0.04, + "learning_rate": 4.999147152091419e-05, + "loss": 4.4462, + "step": 298 + }, + { + "epoch": 0.04, + "learning_rate": 4.999119864278699e-05, + "loss": 4.3016, + "step": 299 + }, + { + "epoch": 0.04, + "learning_rate": 4.999092146838302e-05, + "loss": 4.3309, + "step": 300 + }, + { + "epoch": 0.04, + "learning_rate": 4.9990639997749947e-05, + "loss": 4.547, + "step": 301 + }, + { + "epoch": 0.04, + "learning_rate": 4.999035423093612e-05, + "loss": 4.4396, + "step": 302 + }, + { + "epoch": 0.04, + "learning_rate": 4.9990064167990705e-05, + "loss": 4.4364, + "step": 303 + }, + { + "epoch": 0.04, + "learning_rate": 4.9989769808963535e-05, + "loss": 4.5768, + "step": 304 + }, + { + "epoch": 0.04, + "learning_rate": 4.998947115390524e-05, + "loss": 4.4782, + "step": 305 + }, + { + "epoch": 0.04, + "learning_rate": 4.998916820286715e-05, + "loss": 4.4633, + "step": 306 + }, + { + "epoch": 0.04, + "learning_rate": 4.998886095590134e-05, + "loss": 4.5097, + "step": 307 + }, + { + "epoch": 0.04, + "learning_rate": 4.9988549413060636e-05, + "loss": 4.3728, + "step": 308 + }, + { + "epoch": 0.04, + "learning_rate": 4.99882335743986e-05, + "loss": 4.4206, + "step": 309 + }, + { + "epoch": 0.04, + "learning_rate": 4.9987913439969525e-05, + "loss": 4.3592, + "step": 310 + }, + { + "epoch": 0.04, + "learning_rate": 4.998758900982845e-05, + "loss": 4.2701, + "step": 311 + }, + { + "epoch": 0.04, + "learning_rate": 4.998726028403113e-05, + "loss": 4.4421, + "step": 312 + }, + { + "epoch": 0.04, + "learning_rate": 4.99869272626341e-05, + "loss": 4.3912, + "step": 313 + }, + { + "epoch": 0.04, + "learning_rate": 4.9986589945694596e-05, + "loss": 4.5098, + "step": 314 + }, + { + "epoch": 0.04, + "learning_rate": 4.998624833327061e-05, + "loss": 4.4267, + "step": 315 + }, + { + "epoch": 0.04, + "learning_rate": 4.998590242542087e-05, + "loss": 4.4087, + "step": 316 + }, + { + "epoch": 0.04, + "learning_rate": 4.998555222220484e-05, + "loss": 4.4655, + "step": 317 + }, + { + "epoch": 0.04, + "learning_rate": 4.998519772368273e-05, + "loss": 4.4328, + "step": 318 + }, + { + "epoch": 0.04, + "learning_rate": 4.998483892991549e-05, + "loss": 4.2626, + "step": 319 + }, + { + "epoch": 0.04, + "learning_rate": 4.998447584096477e-05, + "loss": 4.4173, + "step": 320 + }, + { + "epoch": 0.04, + "learning_rate": 4.998410845689301e-05, + "loss": 4.3162, + "step": 321 + }, + { + "epoch": 0.04, + "learning_rate": 4.998373677776337e-05, + "loss": 4.3414, + "step": 322 + }, + { + "epoch": 0.04, + "learning_rate": 4.9983360803639745e-05, + "loss": 4.4547, + "step": 323 + }, + { + "epoch": 0.04, + "learning_rate": 4.998298053458676e-05, + "loss": 4.4641, + "step": 324 + }, + { + "epoch": 0.04, + "learning_rate": 4.99825959706698e-05, + "loss": 4.2699, + "step": 325 + }, + { + "epoch": 0.04, + "learning_rate": 4.9982207111954963e-05, + "loss": 4.3979, + "step": 326 + }, + { + "epoch": 0.04, + "learning_rate": 4.99818139585091e-05, + "loss": 4.4327, + "step": 327 + }, + { + "epoch": 0.04, + "learning_rate": 4.998141651039982e-05, + "loss": 4.4638, + "step": 328 + }, + { + "epoch": 0.04, + "learning_rate": 4.998101476769542e-05, + "loss": 4.4299, + "step": 329 + }, + { + "epoch": 0.04, + "learning_rate": 4.998060873046499e-05, + "loss": 4.4879, + "step": 330 + }, + { + "epoch": 0.04, + "learning_rate": 4.99801983987783e-05, + "loss": 4.3727, + "step": 331 + }, + { + "epoch": 0.04, + "learning_rate": 4.997978377270592e-05, + "loss": 4.3434, + "step": 332 + }, + { + "epoch": 0.04, + "learning_rate": 4.997936485231912e-05, + "loss": 4.5021, + "step": 333 + }, + { + "epoch": 0.04, + "learning_rate": 4.9978941637689915e-05, + "loss": 4.3693, + "step": 334 + }, + { + "epoch": 0.04, + "learning_rate": 4.997851412889106e-05, + "loss": 4.4021, + "step": 335 + }, + { + "epoch": 0.04, + "learning_rate": 4.9978082325996045e-05, + "loss": 4.2811, + "step": 336 + }, + { + "epoch": 0.04, + "learning_rate": 4.997764622907912e-05, + "loss": 4.274, + "step": 337 + }, + { + "epoch": 0.04, + "learning_rate": 4.997720583821523e-05, + "loss": 4.3155, + "step": 338 + }, + { + "epoch": 0.04, + "learning_rate": 4.9976761153480106e-05, + "loss": 4.3461, + "step": 339 + }, + { + "epoch": 0.04, + "learning_rate": 4.997631217495018e-05, + "loss": 4.3568, + "step": 340 + }, + { + "epoch": 0.04, + "learning_rate": 4.9975858902702645e-05, + "loss": 4.4546, + "step": 341 + }, + { + "epoch": 0.04, + "learning_rate": 4.9975401336815406e-05, + "loss": 4.3216, + "step": 342 + }, + { + "epoch": 0.04, + "learning_rate": 4.997493947736716e-05, + "loss": 4.3728, + "step": 343 + }, + { + "epoch": 0.04, + "learning_rate": 4.997447332443727e-05, + "loss": 4.3644, + "step": 344 + }, + { + "epoch": 0.04, + "learning_rate": 4.997400287810588e-05, + "loss": 4.4836, + "step": 345 + }, + { + "epoch": 0.04, + "learning_rate": 4.997352813845388e-05, + "loss": 4.3785, + "step": 346 + }, + { + "epoch": 0.04, + "learning_rate": 4.9973049105562875e-05, + "loss": 4.322, + "step": 347 + }, + { + "epoch": 0.04, + "learning_rate": 4.997256577951521e-05, + "loss": 4.4221, + "step": 348 + }, + { + "epoch": 0.04, + "learning_rate": 4.9972078160393985e-05, + "loss": 4.3441, + "step": 349 + }, + { + "epoch": 0.04, + "learning_rate": 4.997158624828303e-05, + "loss": 4.3138, + "step": 350 + }, + { + "epoch": 0.04, + "learning_rate": 4.9971090043266896e-05, + "loss": 4.2845, + "step": 351 + }, + { + "epoch": 0.05, + "learning_rate": 4.99705895454309e-05, + "loss": 4.4062, + "step": 352 + }, + { + "epoch": 0.05, + "learning_rate": 4.9970084754861066e-05, + "loss": 4.3816, + "step": 353 + }, + { + "epoch": 0.05, + "learning_rate": 4.99695756716442e-05, + "loss": 4.2521, + "step": 354 + }, + { + "epoch": 0.05, + "learning_rate": 4.996906229586779e-05, + "loss": 4.3857, + "step": 355 + }, + { + "epoch": 0.05, + "learning_rate": 4.996854462762011e-05, + "loss": 4.2496, + "step": 356 + }, + { + "epoch": 0.05, + "learning_rate": 4.9968022666990145e-05, + "loss": 4.3496, + "step": 357 + }, + { + "epoch": 0.05, + "learning_rate": 4.996749641406764e-05, + "loss": 4.2856, + "step": 358 + }, + { + "epoch": 0.05, + "learning_rate": 4.9966965868943035e-05, + "loss": 4.5328, + "step": 359 + }, + { + "epoch": 0.05, + "learning_rate": 4.9966431031707575e-05, + "loss": 4.4632, + "step": 360 + }, + { + "epoch": 0.05, + "learning_rate": 4.996589190245318e-05, + "loss": 4.5417, + "step": 361 + }, + { + "epoch": 0.05, + "learning_rate": 4.9965348481272525e-05, + "loss": 4.3207, + "step": 362 + }, + { + "epoch": 0.05, + "learning_rate": 4.996480076825906e-05, + "loss": 4.5006, + "step": 363 + }, + { + "epoch": 0.05, + "learning_rate": 4.9964248763506916e-05, + "loss": 4.4376, + "step": 364 + }, + { + "epoch": 0.05, + "learning_rate": 4.9963692467111e-05, + "loss": 4.1864, + "step": 365 + }, + { + "epoch": 0.05, + "learning_rate": 4.9963131879166945e-05, + "loss": 4.3036, + "step": 366 + }, + { + "epoch": 0.05, + "learning_rate": 4.996256699977112e-05, + "loss": 4.3183, + "step": 367 + }, + { + "epoch": 0.05, + "learning_rate": 4.996199782902065e-05, + "loss": 4.2006, + "step": 368 + }, + { + "epoch": 0.05, + "learning_rate": 4.996142436701336e-05, + "loss": 4.3062, + "step": 369 + }, + { + "epoch": 0.05, + "learning_rate": 4.996084661384784e-05, + "loss": 4.4533, + "step": 370 + }, + { + "epoch": 0.05, + "learning_rate": 4.9960264569623414e-05, + "loss": 4.4506, + "step": 371 + }, + { + "epoch": 0.05, + "learning_rate": 4.9959678234440155e-05, + "loss": 4.2794, + "step": 372 + }, + { + "epoch": 0.05, + "learning_rate": 4.995908760839884e-05, + "loss": 4.4515, + "step": 373 + }, + { + "epoch": 0.05, + "learning_rate": 4.9958492691601023e-05, + "loss": 4.3762, + "step": 374 + }, + { + "epoch": 0.05, + "learning_rate": 4.995789348414897e-05, + "loss": 4.2043, + "step": 375 + }, + { + "epoch": 0.05, + "learning_rate": 4.9957289986145675e-05, + "loss": 4.3852, + "step": 376 + }, + { + "epoch": 0.05, + "learning_rate": 4.9956682197694915e-05, + "loss": 4.3161, + "step": 377 + }, + { + "epoch": 0.05, + "learning_rate": 4.995607011890116e-05, + "loss": 4.1823, + "step": 378 + }, + { + "epoch": 0.05, + "learning_rate": 4.9955453749869626e-05, + "loss": 4.3139, + "step": 379 + }, + { + "epoch": 0.05, + "learning_rate": 4.99548330907063e-05, + "loss": 4.4216, + "step": 380 + }, + { + "epoch": 0.05, + "learning_rate": 4.995420814151785e-05, + "loss": 4.3649, + "step": 381 + }, + { + "epoch": 0.05, + "learning_rate": 4.995357890241174e-05, + "loss": 4.2391, + "step": 382 + }, + { + "epoch": 0.05, + "learning_rate": 4.9952945373496126e-05, + "loss": 4.3629, + "step": 383 + }, + { + "epoch": 0.05, + "learning_rate": 4.995230755487992e-05, + "loss": 4.3374, + "step": 384 + }, + { + "epoch": 0.05, + "learning_rate": 4.995166544667277e-05, + "loss": 4.2797, + "step": 385 + }, + { + "epoch": 0.05, + "learning_rate": 4.995101904898507e-05, + "loss": 4.2669, + "step": 386 + }, + { + "epoch": 0.05, + "learning_rate": 4.9950368361927943e-05, + "loss": 4.2824, + "step": 387 + }, + { + "epoch": 0.05, + "learning_rate": 4.9949713385613236e-05, + "loss": 4.2599, + "step": 388 + }, + { + "epoch": 0.05, + "learning_rate": 4.994905412015356e-05, + "loss": 4.3103, + "step": 389 + }, + { + "epoch": 0.05, + "learning_rate": 4.994839056566225e-05, + "loss": 4.4237, + "step": 390 + }, + { + "epoch": 0.05, + "learning_rate": 4.994772272225337e-05, + "loss": 4.4225, + "step": 391 + }, + { + "epoch": 0.05, + "learning_rate": 4.994705059004174e-05, + "loss": 4.1232, + "step": 392 + }, + { + "epoch": 0.05, + "learning_rate": 4.9946374169142893e-05, + "loss": 4.2917, + "step": 393 + }, + { + "epoch": 0.05, + "learning_rate": 4.994569345967314e-05, + "loss": 4.3722, + "step": 394 + }, + { + "epoch": 0.05, + "learning_rate": 4.994500846174947e-05, + "loss": 4.4237, + "step": 395 + }, + { + "epoch": 0.05, + "learning_rate": 4.994431917548966e-05, + "loss": 4.2891, + "step": 396 + }, + { + "epoch": 0.05, + "learning_rate": 4.994362560101221e-05, + "loss": 4.2416, + "step": 397 + }, + { + "epoch": 0.05, + "learning_rate": 4.994292773843635e-05, + "loss": 4.2284, + "step": 398 + }, + { + "epoch": 0.05, + "learning_rate": 4.9942225587882044e-05, + "loss": 4.3645, + "step": 399 + }, + { + "epoch": 0.05, + "learning_rate": 4.9941519149470004e-05, + "loss": 4.1656, + "step": 400 + }, + { + "epoch": 0.05, + "learning_rate": 4.994080842332168e-05, + "loss": 4.383, + "step": 401 + }, + { + "epoch": 0.05, + "learning_rate": 4.994009340955924e-05, + "loss": 4.4034, + "step": 402 + }, + { + "epoch": 0.05, + "learning_rate": 4.993937410830562e-05, + "loss": 4.1883, + "step": 403 + }, + { + "epoch": 0.05, + "learning_rate": 4.9938650519684475e-05, + "loss": 4.2756, + "step": 404 + }, + { + "epoch": 0.05, + "learning_rate": 4.993792264382018e-05, + "loss": 4.3285, + "step": 405 + }, + { + "epoch": 0.05, + "learning_rate": 4.993719048083788e-05, + "loss": 4.3822, + "step": 406 + }, + { + "epoch": 0.05, + "learning_rate": 4.993645403086344e-05, + "loss": 4.2983, + "step": 407 + }, + { + "epoch": 0.05, + "learning_rate": 4.9935713294023465e-05, + "loss": 4.4615, + "step": 408 + }, + { + "epoch": 0.05, + "learning_rate": 4.9934968270445295e-05, + "loss": 4.3054, + "step": 409 + }, + { + "epoch": 0.05, + "learning_rate": 4.993421896025701e-05, + "loss": 4.3968, + "step": 410 + }, + { + "epoch": 0.05, + "learning_rate": 4.993346536358742e-05, + "loss": 4.252, + "step": 411 + }, + { + "epoch": 0.05, + "learning_rate": 4.993270748056608e-05, + "loss": 4.3086, + "step": 412 + }, + { + "epoch": 0.05, + "learning_rate": 4.993194531132328e-05, + "loss": 4.2844, + "step": 413 + }, + { + "epoch": 0.05, + "learning_rate": 4.993117885599004e-05, + "loss": 4.2721, + "step": 414 + }, + { + "epoch": 0.05, + "learning_rate": 4.993040811469815e-05, + "loss": 4.279, + "step": 415 + }, + { + "epoch": 0.05, + "learning_rate": 4.992963308758006e-05, + "loss": 4.363, + "step": 416 + }, + { + "epoch": 0.05, + "learning_rate": 4.992885377476904e-05, + "loss": 4.4436, + "step": 417 + }, + { + "epoch": 0.05, + "learning_rate": 4.992807017639907e-05, + "loss": 4.2437, + "step": 418 + }, + { + "epoch": 0.05, + "learning_rate": 4.992728229260484e-05, + "loss": 4.3669, + "step": 419 + }, + { + "epoch": 0.05, + "learning_rate": 4.9926490123521795e-05, + "loss": 4.2752, + "step": 420 + }, + { + "epoch": 0.05, + "learning_rate": 4.992569366928612e-05, + "loss": 4.182, + "step": 421 + }, + { + "epoch": 0.05, + "learning_rate": 4.9924892930034755e-05, + "loss": 4.2939, + "step": 422 + }, + { + "epoch": 0.05, + "learning_rate": 4.992408790590534e-05, + "loss": 4.3078, + "step": 423 + }, + { + "epoch": 0.05, + "learning_rate": 4.992327859703626e-05, + "loss": 4.3685, + "step": 424 + }, + { + "epoch": 0.05, + "learning_rate": 4.992246500356665e-05, + "loss": 4.2438, + "step": 425 + }, + { + "epoch": 0.05, + "learning_rate": 4.9921647125636394e-05, + "loss": 4.3564, + "step": 426 + }, + { + "epoch": 0.05, + "learning_rate": 4.992082496338607e-05, + "loss": 4.3453, + "step": 427 + }, + { + "epoch": 0.05, + "learning_rate": 4.991999851695703e-05, + "loss": 4.1605, + "step": 428 + }, + { + "epoch": 0.05, + "learning_rate": 4.991916778649135e-05, + "loss": 4.3278, + "step": 429 + }, + { + "epoch": 0.06, + "learning_rate": 4.9918332772131837e-05, + "loss": 4.3776, + "step": 430 + }, + { + "epoch": 0.06, + "learning_rate": 4.9917493474022045e-05, + "loss": 4.4306, + "step": 431 + }, + { + "epoch": 0.06, + "learning_rate": 4.991664989230626e-05, + "loss": 4.4161, + "step": 432 + }, + { + "epoch": 0.06, + "learning_rate": 4.9915802027129496e-05, + "loss": 4.3106, + "step": 433 + }, + { + "epoch": 0.06, + "learning_rate": 4.991494987863751e-05, + "loss": 4.285, + "step": 434 + }, + { + "epoch": 0.06, + "learning_rate": 4.9914093446976804e-05, + "loss": 4.3871, + "step": 435 + }, + { + "epoch": 0.06, + "learning_rate": 4.991323273229461e-05, + "loss": 4.1874, + "step": 436 + }, + { + "epoch": 0.06, + "learning_rate": 4.9912367734738886e-05, + "loss": 4.254, + "step": 437 + }, + { + "epoch": 0.06, + "learning_rate": 4.9911498454458336e-05, + "loss": 4.2568, + "step": 438 + }, + { + "epoch": 0.06, + "learning_rate": 4.9910624891602407e-05, + "loss": 4.2675, + "step": 439 + }, + { + "epoch": 0.06, + "learning_rate": 4.9909747046321273e-05, + "loss": 4.3181, + "step": 440 + }, + { + "epoch": 0.06, + "learning_rate": 4.9908864918765844e-05, + "loss": 4.3337, + "step": 441 + }, + { + "epoch": 0.06, + "learning_rate": 4.990797850908776e-05, + "loss": 4.2493, + "step": 442 + }, + { + "epoch": 0.06, + "learning_rate": 4.990708781743942e-05, + "loss": 4.2586, + "step": 443 + }, + { + "epoch": 0.06, + "learning_rate": 4.990619284397393e-05, + "loss": 4.2823, + "step": 444 + }, + { + "epoch": 0.06, + "learning_rate": 4.990529358884516e-05, + "loss": 4.1929, + "step": 445 + }, + { + "epoch": 0.06, + "learning_rate": 4.990439005220769e-05, + "loss": 4.339, + "step": 446 + }, + { + "epoch": 0.06, + "learning_rate": 4.990348223421685e-05, + "loss": 4.2606, + "step": 447 + }, + { + "epoch": 0.06, + "learning_rate": 4.990257013502872e-05, + "loss": 4.2809, + "step": 448 + }, + { + "epoch": 0.06, + "learning_rate": 4.9901653754800073e-05, + "loss": 4.2727, + "step": 449 + }, + { + "epoch": 0.06, + "learning_rate": 4.990073309368847e-05, + "loss": 4.4037, + "step": 450 + }, + { + "epoch": 0.06, + "learning_rate": 4.989980815185217e-05, + "loss": 4.3027, + "step": 451 + }, + { + "epoch": 0.06, + "learning_rate": 4.9898878929450186e-05, + "loss": 4.3533, + "step": 452 + }, + { + "epoch": 0.06, + "learning_rate": 4.989794542664227e-05, + "loss": 4.3777, + "step": 453 + }, + { + "epoch": 0.06, + "learning_rate": 4.989700764358888e-05, + "loss": 4.2983, + "step": 454 + }, + { + "epoch": 0.06, + "learning_rate": 4.989606558045126e-05, + "loss": 4.1589, + "step": 455 + }, + { + "epoch": 0.06, + "learning_rate": 4.989511923739134e-05, + "loss": 4.2224, + "step": 456 + }, + { + "epoch": 0.06, + "learning_rate": 4.989416861457181e-05, + "loss": 4.3508, + "step": 457 + }, + { + "epoch": 0.06, + "learning_rate": 4.98932137121561e-05, + "loss": 4.4265, + "step": 458 + }, + { + "epoch": 0.06, + "learning_rate": 4.9892254530308366e-05, + "loss": 4.2358, + "step": 459 + }, + { + "epoch": 0.06, + "learning_rate": 4.98912910691935e-05, + "loss": 4.268, + "step": 460 + }, + { + "epoch": 0.06, + "learning_rate": 4.989032332897714e-05, + "loss": 4.2914, + "step": 461 + }, + { + "epoch": 0.06, + "learning_rate": 4.988935130982564e-05, + "loss": 4.3437, + "step": 462 + }, + { + "epoch": 0.06, + "learning_rate": 4.9888375011906105e-05, + "loss": 4.2451, + "step": 463 + }, + { + "epoch": 0.06, + "learning_rate": 4.988739443538638e-05, + "loss": 4.3485, + "step": 464 + }, + { + "epoch": 0.06, + "learning_rate": 4.988640958043504e-05, + "loss": 4.2904, + "step": 465 + }, + { + "epoch": 0.06, + "learning_rate": 4.988542044722138e-05, + "loss": 4.2685, + "step": 466 + }, + { + "epoch": 0.06, + "learning_rate": 4.9884427035915444e-05, + "loss": 4.31, + "step": 467 + }, + { + "epoch": 0.06, + "learning_rate": 4.9883429346688014e-05, + "loss": 4.2974, + "step": 468 + }, + { + "epoch": 0.06, + "learning_rate": 4.9882427379710616e-05, + "loss": 4.2759, + "step": 469 + }, + { + "epoch": 0.06, + "learning_rate": 4.988142113515548e-05, + "loss": 4.2475, + "step": 470 + }, + { + "epoch": 0.06, + "learning_rate": 4.98804106131956e-05, + "loss": 4.2895, + "step": 471 + }, + { + "epoch": 0.06, + "learning_rate": 4.98793958140047e-05, + "loss": 4.3075, + "step": 472 + }, + { + "epoch": 0.06, + "learning_rate": 4.9878376737757235e-05, + "loss": 4.2837, + "step": 473 + }, + { + "epoch": 0.06, + "learning_rate": 4.98773533846284e-05, + "loss": 4.2801, + "step": 474 + }, + { + "epoch": 0.06, + "learning_rate": 4.9876325754794106e-05, + "loss": 4.3415, + "step": 475 + }, + { + "epoch": 0.06, + "learning_rate": 4.987529384843103e-05, + "loss": 4.1331, + "step": 476 + }, + { + "epoch": 0.06, + "learning_rate": 4.987425766571655e-05, + "loss": 4.2245, + "step": 477 + }, + { + "epoch": 0.06, + "learning_rate": 4.9873217206828826e-05, + "loss": 4.276, + "step": 478 + }, + { + "epoch": 0.06, + "learning_rate": 4.98721724719467e-05, + "loss": 4.37, + "step": 479 + }, + { + "epoch": 0.06, + "learning_rate": 4.987112346124978e-05, + "loss": 4.1689, + "step": 480 + }, + { + "epoch": 0.06, + "learning_rate": 4.9870070174918416e-05, + "loss": 4.1774, + "step": 481 + }, + { + "epoch": 0.06, + "learning_rate": 4.986901261313366e-05, + "loss": 4.3389, + "step": 482 + }, + { + "epoch": 0.06, + "learning_rate": 4.986795077607733e-05, + "loss": 4.375, + "step": 483 + }, + { + "epoch": 0.06, + "learning_rate": 4.986688466393198e-05, + "loss": 4.2044, + "step": 484 + }, + { + "epoch": 0.06, + "learning_rate": 4.9865814276880865e-05, + "loss": 4.3221, + "step": 485 + }, + { + "epoch": 0.06, + "learning_rate": 4.9864739615108005e-05, + "loss": 4.3346, + "step": 486 + }, + { + "epoch": 0.06, + "learning_rate": 4.986366067879815e-05, + "loss": 4.3673, + "step": 487 + }, + { + "epoch": 0.06, + "learning_rate": 4.986257746813678e-05, + "loss": 4.2907, + "step": 488 + }, + { + "epoch": 0.06, + "learning_rate": 4.986148998331012e-05, + "loss": 4.224, + "step": 489 + }, + { + "epoch": 0.06, + "learning_rate": 4.98603982245051e-05, + "loss": 4.286, + "step": 490 + }, + { + "epoch": 0.06, + "learning_rate": 4.985930219190943e-05, + "loss": 4.335, + "step": 491 + }, + { + "epoch": 0.06, + "learning_rate": 4.9858201885711507e-05, + "loss": 4.1796, + "step": 492 + }, + { + "epoch": 0.06, + "learning_rate": 4.985709730610051e-05, + "loss": 4.2744, + "step": 493 + }, + { + "epoch": 0.06, + "learning_rate": 4.985598845326631e-05, + "loss": 4.2341, + "step": 494 + }, + { + "epoch": 0.06, + "learning_rate": 4.9854875327399546e-05, + "loss": 4.3148, + "step": 495 + }, + { + "epoch": 0.06, + "learning_rate": 4.985375792869157e-05, + "loss": 4.2244, + "step": 496 + }, + { + "epoch": 0.06, + "learning_rate": 4.9852636257334474e-05, + "loss": 4.1571, + "step": 497 + }, + { + "epoch": 0.06, + "learning_rate": 4.985151031352109e-05, + "loss": 4.4269, + "step": 498 + }, + { + "epoch": 0.06, + "learning_rate": 4.985038009744498e-05, + "loss": 4.2362, + "step": 499 + }, + { + "epoch": 0.06, + "learning_rate": 4.984924560930044e-05, + "loss": 4.2689, + "step": 500 + }, + { + "epoch": 0.06, + "learning_rate": 4.984810684928251e-05, + "loss": 4.3375, + "step": 501 + }, + { + "epoch": 0.06, + "learning_rate": 4.9846963817586936e-05, + "loss": 4.3264, + "step": 502 + }, + { + "epoch": 0.06, + "learning_rate": 4.984581651441024e-05, + "loss": 4.2728, + "step": 503 + }, + { + "epoch": 0.06, + "learning_rate": 4.984466493994964e-05, + "loss": 4.3042, + "step": 504 + }, + { + "epoch": 0.06, + "learning_rate": 4.984350909440312e-05, + "loss": 4.182, + "step": 505 + }, + { + "epoch": 0.06, + "learning_rate": 4.984234897796937e-05, + "loss": 4.336, + "step": 506 + }, + { + "epoch": 0.06, + "learning_rate": 4.9841184590847835e-05, + "loss": 4.2538, + "step": 507 + }, + { + "epoch": 0.07, + "learning_rate": 4.984001593323868e-05, + "loss": 4.1623, + "step": 508 + }, + { + "epoch": 0.07, + "learning_rate": 4.9838843005342825e-05, + "loss": 4.2254, + "step": 509 + }, + { + "epoch": 0.07, + "learning_rate": 4.98376658073619e-05, + "loss": 4.1158, + "step": 510 + }, + { + "epoch": 0.07, + "learning_rate": 4.983648433949828e-05, + "loss": 4.2286, + "step": 511 + }, + { + "epoch": 0.07, + "learning_rate": 4.983529860195507e-05, + "loss": 4.193, + "step": 512 + }, + { + "epoch": 0.07, + "learning_rate": 4.9834108594936114e-05, + "loss": 4.2629, + "step": 513 + }, + { + "epoch": 0.07, + "learning_rate": 4.983291431864599e-05, + "loss": 4.2207, + "step": 514 + }, + { + "epoch": 0.07, + "learning_rate": 4.983171577329001e-05, + "loss": 4.1816, + "step": 515 + }, + { + "epoch": 0.07, + "learning_rate": 4.983051295907421e-05, + "loss": 4.3182, + "step": 516 + }, + { + "epoch": 0.07, + "learning_rate": 4.982930587620537e-05, + "loss": 4.2965, + "step": 517 + }, + { + "epoch": 0.07, + "learning_rate": 4.982809452489101e-05, + "loss": 4.3496, + "step": 518 + }, + { + "epoch": 0.07, + "learning_rate": 4.982687890533937e-05, + "loss": 4.1924, + "step": 519 + }, + { + "epoch": 0.07, + "learning_rate": 4.982565901775942e-05, + "loss": 4.3465, + "step": 520 + }, + { + "epoch": 0.07, + "learning_rate": 4.982443486236089e-05, + "loss": 4.2537, + "step": 521 + }, + { + "epoch": 0.07, + "learning_rate": 4.982320643935421e-05, + "loss": 4.3201, + "step": 522 + }, + { + "epoch": 0.07, + "learning_rate": 4.982197374895058e-05, + "loss": 4.1764, + "step": 523 + }, + { + "epoch": 0.07, + "learning_rate": 4.982073679136189e-05, + "loss": 4.2542, + "step": 524 + }, + { + "epoch": 0.07, + "learning_rate": 4.9819495566800803e-05, + "loss": 4.1516, + "step": 525 + }, + { + "epoch": 0.07, + "learning_rate": 4.98182500754807e-05, + "loss": 4.182, + "step": 526 + }, + { + "epoch": 0.07, + "learning_rate": 4.981700031761568e-05, + "loss": 4.1636, + "step": 527 + }, + { + "epoch": 0.07, + "learning_rate": 4.9815746293420606e-05, + "loss": 4.3477, + "step": 528 + }, + { + "epoch": 0.07, + "learning_rate": 4.981448800311106e-05, + "loss": 4.2706, + "step": 529 + }, + { + "epoch": 0.07, + "learning_rate": 4.981322544690335e-05, + "loss": 4.3059, + "step": 530 + }, + { + "epoch": 0.07, + "learning_rate": 4.981195862501453e-05, + "loss": 4.2529, + "step": 531 + }, + { + "epoch": 0.07, + "learning_rate": 4.981068753766237e-05, + "loss": 4.3105, + "step": 532 + }, + { + "epoch": 0.07, + "learning_rate": 4.9809412185065393e-05, + "loss": 4.2473, + "step": 533 + }, + { + "epoch": 0.07, + "learning_rate": 4.980813256744286e-05, + "loss": 4.2805, + "step": 534 + }, + { + "epoch": 0.07, + "learning_rate": 4.980684868501472e-05, + "loss": 4.2716, + "step": 535 + }, + { + "epoch": 0.07, + "learning_rate": 4.980556053800171e-05, + "loss": 4.2991, + "step": 536 + }, + { + "epoch": 0.07, + "learning_rate": 4.980426812662527e-05, + "loss": 4.1023, + "step": 537 + }, + { + "epoch": 0.07, + "learning_rate": 4.9802971451107594e-05, + "loss": 4.1849, + "step": 538 + }, + { + "epoch": 0.07, + "learning_rate": 4.9801670511671576e-05, + "loss": 4.3856, + "step": 539 + }, + { + "epoch": 0.07, + "learning_rate": 4.9800365308540875e-05, + "loss": 4.1176, + "step": 540 + }, + { + "epoch": 0.07, + "learning_rate": 4.9799055841939866e-05, + "loss": 4.2983, + "step": 541 + }, + { + "epoch": 0.07, + "learning_rate": 4.9797742112093664e-05, + "loss": 4.1224, + "step": 542 + }, + { + "epoch": 0.07, + "learning_rate": 4.9796424119228116e-05, + "loss": 4.121, + "step": 543 + }, + { + "epoch": 0.07, + "learning_rate": 4.9795101863569785e-05, + "loss": 4.3151, + "step": 544 + }, + { + "epoch": 0.07, + "learning_rate": 4.979377534534601e-05, + "loss": 4.2109, + "step": 545 + }, + { + "epoch": 0.07, + "learning_rate": 4.97924445647848e-05, + "loss": 4.2199, + "step": 546 + }, + { + "epoch": 0.07, + "learning_rate": 4.979110952211497e-05, + "loss": 4.2667, + "step": 547 + }, + { + "epoch": 0.07, + "learning_rate": 4.9789770217566e-05, + "loss": 4.0388, + "step": 548 + }, + { + "epoch": 0.07, + "learning_rate": 4.9788426651368144e-05, + "loss": 4.256, + "step": 549 + }, + { + "epoch": 0.07, + "learning_rate": 4.978707882375237e-05, + "loss": 4.2187, + "step": 550 + }, + { + "epoch": 0.07, + "learning_rate": 4.9785726734950395e-05, + "loss": 4.292, + "step": 551 + }, + { + "epoch": 0.07, + "learning_rate": 4.978437038519465e-05, + "loss": 4.2144, + "step": 552 + }, + { + "epoch": 0.07, + "learning_rate": 4.9783009774718315e-05, + "loss": 4.3402, + "step": 553 + }, + { + "epoch": 0.07, + "learning_rate": 4.9781644903755286e-05, + "loss": 4.2269, + "step": 554 + }, + { + "epoch": 0.07, + "learning_rate": 4.978027577254021e-05, + "loss": 4.3, + "step": 555 + }, + { + "epoch": 0.07, + "learning_rate": 4.977890238130845e-05, + "loss": 4.2131, + "step": 556 + }, + { + "epoch": 0.07, + "learning_rate": 4.97775247302961e-05, + "loss": 4.2942, + "step": 557 + }, + { + "epoch": 0.07, + "learning_rate": 4.9776142819740015e-05, + "loss": 4.3464, + "step": 558 + }, + { + "epoch": 0.07, + "learning_rate": 4.977475664987774e-05, + "loss": 4.271, + "step": 559 + }, + { + "epoch": 0.07, + "learning_rate": 4.977336622094759e-05, + "loss": 4.1769, + "step": 560 + }, + { + "epoch": 0.07, + "learning_rate": 4.977197153318859e-05, + "loss": 4.1588, + "step": 561 + }, + { + "epoch": 0.07, + "learning_rate": 4.97705725868405e-05, + "loss": 4.1968, + "step": 562 + }, + { + "epoch": 0.07, + "learning_rate": 4.976916938214381e-05, + "loss": 4.2256, + "step": 563 + }, + { + "epoch": 0.07, + "learning_rate": 4.976776191933976e-05, + "loss": 4.1985, + "step": 564 + }, + { + "epoch": 0.07, + "learning_rate": 4.9766350198670306e-05, + "loss": 4.1972, + "step": 565 + }, + { + "epoch": 0.07, + "learning_rate": 4.9764934220378134e-05, + "loss": 4.2437, + "step": 566 + }, + { + "epoch": 0.07, + "learning_rate": 4.9763513984706675e-05, + "loss": 4.2647, + "step": 567 + }, + { + "epoch": 0.07, + "learning_rate": 4.976208949190007e-05, + "loss": 4.2404, + "step": 568 + }, + { + "epoch": 0.07, + "learning_rate": 4.976066074220322e-05, + "loss": 4.2902, + "step": 569 + }, + { + "epoch": 0.07, + "learning_rate": 4.975922773586173e-05, + "loss": 4.2262, + "step": 570 + }, + { + "epoch": 0.07, + "learning_rate": 4.9757790473121975e-05, + "loss": 4.2081, + "step": 571 + }, + { + "epoch": 0.07, + "learning_rate": 4.975634895423101e-05, + "loss": 4.3114, + "step": 572 + }, + { + "epoch": 0.07, + "learning_rate": 4.975490317943666e-05, + "loss": 4.2836, + "step": 573 + }, + { + "epoch": 0.07, + "learning_rate": 4.975345314898747e-05, + "loss": 4.2095, + "step": 574 + }, + { + "epoch": 0.07, + "learning_rate": 4.975199886313272e-05, + "loss": 4.2034, + "step": 575 + }, + { + "epoch": 0.07, + "learning_rate": 4.9750540322122415e-05, + "loss": 4.2973, + "step": 576 + }, + { + "epoch": 0.07, + "learning_rate": 4.974907752620729e-05, + "loss": 4.2504, + "step": 577 + }, + { + "epoch": 0.07, + "learning_rate": 4.974761047563883e-05, + "loss": 4.0805, + "step": 578 + }, + { + "epoch": 0.07, + "learning_rate": 4.9746139170669226e-05, + "loss": 4.2461, + "step": 579 + }, + { + "epoch": 0.07, + "learning_rate": 4.9744663611551415e-05, + "loss": 4.2436, + "step": 580 + }, + { + "epoch": 0.07, + "learning_rate": 4.974318379853907e-05, + "loss": 4.2598, + "step": 581 + }, + { + "epoch": 0.07, + "learning_rate": 4.974169973188658e-05, + "loss": 4.222, + "step": 582 + }, + { + "epoch": 0.07, + "learning_rate": 4.9740211411849075e-05, + "loss": 4.2847, + "step": 583 + }, + { + "epoch": 0.07, + "learning_rate": 4.9738718838682417e-05, + "loss": 4.1573, + "step": 584 + }, + { + "epoch": 0.07, + "learning_rate": 4.973722201264319e-05, + "loss": 4.2265, + "step": 585 + }, + { + "epoch": 0.08, + "learning_rate": 4.9735720933988726e-05, + "loss": 4.3118, + "step": 586 + }, + { + "epoch": 0.08, + "learning_rate": 4.973421560297707e-05, + "loss": 4.1674, + "step": 587 + }, + { + "epoch": 0.08, + "learning_rate": 4.9732706019867004e-05, + "loss": 4.1092, + "step": 588 + }, + { + "epoch": 0.08, + "learning_rate": 4.9731192184918054e-05, + "loss": 4.1914, + "step": 589 + }, + { + "epoch": 0.08, + "learning_rate": 4.9729674098390454e-05, + "loss": 4.2227, + "step": 590 + }, + { + "epoch": 0.08, + "learning_rate": 4.972815176054519e-05, + "loss": 4.1736, + "step": 591 + }, + { + "epoch": 0.08, + "learning_rate": 4.972662517164396e-05, + "loss": 4.0886, + "step": 592 + }, + { + "epoch": 0.08, + "learning_rate": 4.972509433194921e-05, + "loss": 4.1576, + "step": 593 + }, + { + "epoch": 0.08, + "learning_rate": 4.972355924172411e-05, + "loss": 4.1097, + "step": 594 + }, + { + "epoch": 0.08, + "learning_rate": 4.9722019901232554e-05, + "loss": 4.2072, + "step": 595 + }, + { + "epoch": 0.08, + "learning_rate": 4.9720476310739174e-05, + "loss": 4.3282, + "step": 596 + }, + { + "epoch": 0.08, + "learning_rate": 4.971892847050933e-05, + "loss": 4.1893, + "step": 597 + }, + { + "epoch": 0.08, + "learning_rate": 4.9717376380809113e-05, + "loss": 4.1579, + "step": 598 + }, + { + "epoch": 0.08, + "learning_rate": 4.971582004190536e-05, + "loss": 4.2249, + "step": 599 + }, + { + "epoch": 0.08, + "learning_rate": 4.97142594540656e-05, + "loss": 4.2394, + "step": 600 + }, + { + "epoch": 0.08, + "learning_rate": 4.971269461755813e-05, + "loss": 4.2081, + "step": 601 + }, + { + "epoch": 0.08, + "learning_rate": 4.971112553265196e-05, + "loss": 4.1296, + "step": 602 + }, + { + "epoch": 0.08, + "learning_rate": 4.970955219961684e-05, + "loss": 4.3146, + "step": 603 + }, + { + "epoch": 0.08, + "learning_rate": 4.970797461872323e-05, + "loss": 4.3542, + "step": 604 + }, + { + "epoch": 0.08, + "learning_rate": 4.970639279024235e-05, + "loss": 4.1974, + "step": 605 + }, + { + "epoch": 0.08, + "learning_rate": 4.970480671444613e-05, + "loss": 4.309, + "step": 606 + }, + { + "epoch": 0.08, + "learning_rate": 4.970321639160723e-05, + "loss": 4.2974, + "step": 607 + }, + { + "epoch": 0.08, + "learning_rate": 4.970162182199905e-05, + "loss": 4.1022, + "step": 608 + }, + { + "epoch": 0.08, + "learning_rate": 4.970002300589571e-05, + "loss": 4.2424, + "step": 609 + }, + { + "epoch": 0.08, + "learning_rate": 4.9698419943572074e-05, + "loss": 4.2356, + "step": 610 + }, + { + "epoch": 0.08, + "learning_rate": 4.9696812635303714e-05, + "loss": 4.1358, + "step": 611 + }, + { + "epoch": 0.08, + "learning_rate": 4.9695201081366955e-05, + "loss": 4.2532, + "step": 612 + }, + { + "epoch": 0.08, + "learning_rate": 4.969358528203884e-05, + "loss": 4.1192, + "step": 613 + }, + { + "epoch": 0.08, + "learning_rate": 4.9691965237597135e-05, + "loss": 4.2299, + "step": 614 + }, + { + "epoch": 0.08, + "learning_rate": 4.9690340948320365e-05, + "loss": 4.1164, + "step": 615 + }, + { + "epoch": 0.08, + "learning_rate": 4.968871241448774e-05, + "loss": 4.2414, + "step": 616 + }, + { + "epoch": 0.08, + "learning_rate": 4.968707963637924e-05, + "loss": 4.1248, + "step": 617 + }, + { + "epoch": 0.08, + "learning_rate": 4.9685442614275556e-05, + "loss": 4.2167, + "step": 618 + }, + { + "epoch": 0.08, + "learning_rate": 4.96838013484581e-05, + "loss": 4.3087, + "step": 619 + }, + { + "epoch": 0.08, + "learning_rate": 4.968215583920904e-05, + "loss": 4.1225, + "step": 620 + }, + { + "epoch": 0.08, + "learning_rate": 4.968050608681125e-05, + "loss": 4.1481, + "step": 621 + }, + { + "epoch": 0.08, + "learning_rate": 4.9678852091548336e-05, + "loss": 4.3202, + "step": 622 + }, + { + "epoch": 0.08, + "learning_rate": 4.967719385370465e-05, + "loss": 4.1675, + "step": 623 + }, + { + "epoch": 0.08, + "learning_rate": 4.967553137356527e-05, + "loss": 4.3814, + "step": 624 + }, + { + "epoch": 0.08, + "learning_rate": 4.967386465141597e-05, + "loss": 4.195, + "step": 625 + }, + { + "epoch": 0.08, + "learning_rate": 4.967219368754329e-05, + "loss": 4.1678, + "step": 626 + }, + { + "epoch": 0.08, + "learning_rate": 4.96705184822345e-05, + "loss": 4.1264, + "step": 627 + }, + { + "epoch": 0.08, + "learning_rate": 4.966883903577757e-05, + "loss": 4.1024, + "step": 628 + }, + { + "epoch": 0.08, + "learning_rate": 4.9667155348461224e-05, + "loss": 4.1376, + "step": 629 + }, + { + "epoch": 0.08, + "learning_rate": 4.9665467420574915e-05, + "loss": 4.1933, + "step": 630 + }, + { + "epoch": 0.08, + "learning_rate": 4.966377525240881e-05, + "loss": 4.2306, + "step": 631 + }, + { + "epoch": 0.08, + "learning_rate": 4.96620788442538e-05, + "loss": 4.0838, + "step": 632 + }, + { + "epoch": 0.08, + "learning_rate": 4.966037819640153e-05, + "loss": 4.23, + "step": 633 + }, + { + "epoch": 0.08, + "learning_rate": 4.965867330914438e-05, + "loss": 4.2637, + "step": 634 + }, + { + "epoch": 0.08, + "learning_rate": 4.96569641827754e-05, + "loss": 4.2939, + "step": 635 + }, + { + "epoch": 0.08, + "learning_rate": 4.965525081758844e-05, + "loss": 4.3396, + "step": 636 + }, + { + "epoch": 0.08, + "learning_rate": 4.9653533213878033e-05, + "loss": 4.2186, + "step": 637 + }, + { + "epoch": 0.08, + "learning_rate": 4.965181137193946e-05, + "loss": 4.2139, + "step": 638 + }, + { + "epoch": 0.08, + "learning_rate": 4.9650085292068724e-05, + "loss": 4.0142, + "step": 639 + }, + { + "epoch": 0.08, + "learning_rate": 4.964835497456255e-05, + "loss": 4.1496, + "step": 640 + }, + { + "epoch": 0.08, + "learning_rate": 4.964662041971841e-05, + "loss": 4.1949, + "step": 641 + }, + { + "epoch": 0.08, + "learning_rate": 4.96448816278345e-05, + "loss": 4.1278, + "step": 642 + }, + { + "epoch": 0.08, + "learning_rate": 4.9643138599209724e-05, + "loss": 4.1939, + "step": 643 + }, + { + "epoch": 0.08, + "learning_rate": 4.964139133414374e-05, + "loss": 4.2208, + "step": 644 + }, + { + "epoch": 0.08, + "learning_rate": 4.9639639832936915e-05, + "loss": 4.2312, + "step": 645 + }, + { + "epoch": 0.08, + "learning_rate": 4.9637884095890354e-05, + "loss": 4.2451, + "step": 646 + }, + { + "epoch": 0.08, + "learning_rate": 4.963612412330589e-05, + "loss": 4.1073, + "step": 647 + }, + { + "epoch": 0.08, + "learning_rate": 4.9634359915486086e-05, + "loss": 4.1212, + "step": 648 + }, + { + "epoch": 0.08, + "learning_rate": 4.963259147273422e-05, + "loss": 4.3205, + "step": 649 + }, + { + "epoch": 0.08, + "learning_rate": 4.963081879535432e-05, + "loss": 4.1191, + "step": 650 + }, + { + "epoch": 0.08, + "learning_rate": 4.9629041883651124e-05, + "loss": 4.2793, + "step": 651 + }, + { + "epoch": 0.08, + "learning_rate": 4.9627260737930105e-05, + "loss": 4.065, + "step": 652 + }, + { + "epoch": 0.08, + "learning_rate": 4.962547535849745e-05, + "loss": 4.1027, + "step": 653 + }, + { + "epoch": 0.08, + "learning_rate": 4.962368574566011e-05, + "loss": 4.1578, + "step": 654 + }, + { + "epoch": 0.08, + "learning_rate": 4.9621891899725724e-05, + "loss": 4.185, + "step": 655 + }, + { + "epoch": 0.08, + "learning_rate": 4.962009382100269e-05, + "loss": 4.2076, + "step": 656 + }, + { + "epoch": 0.08, + "learning_rate": 4.961829150980009e-05, + "loss": 4.3376, + "step": 657 + }, + { + "epoch": 0.08, + "learning_rate": 4.961648496642779e-05, + "loss": 4.2291, + "step": 658 + }, + { + "epoch": 0.08, + "learning_rate": 4.961467419119634e-05, + "loss": 4.1834, + "step": 659 + }, + { + "epoch": 0.08, + "learning_rate": 4.9612859184417045e-05, + "loss": 4.2018, + "step": 660 + }, + { + "epoch": 0.08, + "learning_rate": 4.9611039946401916e-05, + "loss": 4.1176, + "step": 661 + }, + { + "epoch": 0.08, + "learning_rate": 4.960921647746371e-05, + "loss": 4.0888, + "step": 662 + }, + { + "epoch": 0.08, + "learning_rate": 4.960738877791589e-05, + "loss": 4.1551, + "step": 663 + }, + { + "epoch": 0.08, + "learning_rate": 4.960555684807267e-05, + "loss": 4.1929, + "step": 664 + }, + { + "epoch": 0.09, + "learning_rate": 4.9603720688248966e-05, + "loss": 4.1629, + "step": 665 + }, + { + "epoch": 0.09, + "learning_rate": 4.960188029876045e-05, + "loss": 4.1513, + "step": 666 + }, + { + "epoch": 0.09, + "learning_rate": 4.9600035679923506e-05, + "loss": 4.1615, + "step": 667 + }, + { + "epoch": 0.09, + "learning_rate": 4.959818683205524e-05, + "loss": 4.3276, + "step": 668 + }, + { + "epoch": 0.09, + "learning_rate": 4.9596333755473485e-05, + "loss": 4.314, + "step": 669 + }, + { + "epoch": 0.09, + "learning_rate": 4.959447645049682e-05, + "loss": 4.2641, + "step": 670 + }, + { + "epoch": 0.09, + "learning_rate": 4.959261491744452e-05, + "loss": 4.1148, + "step": 671 + }, + { + "epoch": 0.09, + "learning_rate": 4.959074915663662e-05, + "loss": 4.0546, + "step": 672 + }, + { + "epoch": 0.09, + "learning_rate": 4.9588879168393855e-05, + "loss": 4.295, + "step": 673 + }, + { + "epoch": 0.09, + "learning_rate": 4.958700495303771e-05, + "loss": 4.3454, + "step": 674 + }, + { + "epoch": 0.09, + "learning_rate": 4.958512651089037e-05, + "loss": 4.2474, + "step": 675 + }, + { + "epoch": 0.09, + "learning_rate": 4.958324384227477e-05, + "loss": 4.1316, + "step": 676 + }, + { + "epoch": 0.09, + "learning_rate": 4.9581356947514554e-05, + "loss": 4.087, + "step": 677 + }, + { + "epoch": 0.09, + "learning_rate": 4.9579465826934115e-05, + "loss": 4.17, + "step": 678 + }, + { + "epoch": 0.09, + "learning_rate": 4.9577570480858553e-05, + "loss": 4.2692, + "step": 679 + }, + { + "epoch": 0.09, + "learning_rate": 4.957567090961369e-05, + "loss": 4.1645, + "step": 680 + }, + { + "epoch": 0.09, + "learning_rate": 4.95737671135261e-05, + "loss": 4.2784, + "step": 681 + }, + { + "epoch": 0.09, + "learning_rate": 4.957185909292306e-05, + "loss": 4.1428, + "step": 682 + }, + { + "epoch": 0.09, + "learning_rate": 4.956994684813257e-05, + "loss": 4.1358, + "step": 683 + }, + { + "epoch": 0.09, + "learning_rate": 4.9568030379483384e-05, + "loss": 4.2023, + "step": 684 + }, + { + "epoch": 0.09, + "learning_rate": 4.9566109687304954e-05, + "loss": 4.3108, + "step": 685 + }, + { + "epoch": 0.09, + "learning_rate": 4.956418477192748e-05, + "loss": 4.1218, + "step": 686 + }, + { + "epoch": 0.09, + "learning_rate": 4.956225563368187e-05, + "loss": 4.2256, + "step": 687 + }, + { + "epoch": 0.09, + "learning_rate": 4.956032227289976e-05, + "loss": 4.1919, + "step": 688 + }, + { + "epoch": 0.09, + "learning_rate": 4.955838468991353e-05, + "loss": 4.2209, + "step": 689 + }, + { + "epoch": 0.09, + "learning_rate": 4.955644288505627e-05, + "loss": 4.2133, + "step": 690 + }, + { + "epoch": 0.09, + "learning_rate": 4.955449685866179e-05, + "loss": 4.1663, + "step": 691 + }, + { + "epoch": 0.09, + "learning_rate": 4.955254661106464e-05, + "loss": 4.209, + "step": 692 + }, + { + "epoch": 0.09, + "learning_rate": 4.9550592142600095e-05, + "loss": 4.0639, + "step": 693 + }, + { + "epoch": 0.09, + "learning_rate": 4.954863345360414e-05, + "loss": 4.0238, + "step": 694 + }, + { + "epoch": 0.09, + "learning_rate": 4.95466705444135e-05, + "loss": 4.1231, + "step": 695 + }, + { + "epoch": 0.09, + "learning_rate": 4.954470341536563e-05, + "loss": 4.1493, + "step": 696 + }, + { + "epoch": 0.09, + "learning_rate": 4.9542732066798695e-05, + "loss": 4.1705, + "step": 697 + }, + { + "epoch": 0.09, + "learning_rate": 4.95407564990516e-05, + "loss": 4.0887, + "step": 698 + }, + { + "epoch": 0.09, + "learning_rate": 4.953877671246395e-05, + "loss": 4.108, + "step": 699 + }, + { + "epoch": 0.09, + "learning_rate": 4.9536792707376115e-05, + "loss": 4.3472, + "step": 700 + }, + { + "epoch": 0.09, + "learning_rate": 4.953480448412915e-05, + "loss": 4.1376, + "step": 701 + }, + { + "epoch": 0.09, + "learning_rate": 4.953281204306487e-05, + "loss": 4.1261, + "step": 702 + }, + { + "epoch": 0.09, + "learning_rate": 4.953081538452578e-05, + "loss": 3.9352, + "step": 703 + }, + { + "epoch": 0.09, + "learning_rate": 4.952881450885515e-05, + "loss": 4.2585, + "step": 704 + }, + { + "epoch": 0.09, + "learning_rate": 4.952680941639694e-05, + "loss": 4.1487, + "step": 705 + }, + { + "epoch": 0.09, + "learning_rate": 4.952480010749585e-05, + "loss": 4.181, + "step": 706 + }, + { + "epoch": 0.09, + "learning_rate": 4.952278658249731e-05, + "loss": 4.1394, + "step": 707 + }, + { + "epoch": 0.09, + "learning_rate": 4.952076884174747e-05, + "loss": 4.1511, + "step": 708 + }, + { + "epoch": 0.09, + "learning_rate": 4.9518746885593184e-05, + "loss": 4.1347, + "step": 709 + }, + { + "epoch": 0.09, + "learning_rate": 4.951672071438207e-05, + "loss": 4.2612, + "step": 710 + }, + { + "epoch": 0.09, + "learning_rate": 4.951469032846244e-05, + "loss": 4.2781, + "step": 711 + }, + { + "epoch": 0.09, + "learning_rate": 4.9512655728183343e-05, + "loss": 4.1289, + "step": 712 + }, + { + "epoch": 0.09, + "learning_rate": 4.9510616913894554e-05, + "loss": 4.0215, + "step": 713 + }, + { + "epoch": 0.09, + "learning_rate": 4.9508573885946564e-05, + "loss": 4.1904, + "step": 714 + }, + { + "epoch": 0.09, + "learning_rate": 4.9506526644690595e-05, + "loss": 4.1705, + "step": 715 + }, + { + "epoch": 0.09, + "learning_rate": 4.950447519047859e-05, + "loss": 4.2242, + "step": 716 + }, + { + "epoch": 0.09, + "learning_rate": 4.9502419523663226e-05, + "loss": 4.2008, + "step": 717 + }, + { + "epoch": 0.09, + "learning_rate": 4.9500359644597886e-05, + "loss": 4.0204, + "step": 718 + }, + { + "epoch": 0.09, + "learning_rate": 4.949829555363669e-05, + "loss": 4.184, + "step": 719 + }, + { + "epoch": 0.09, + "learning_rate": 4.9496227251134484e-05, + "loss": 4.0342, + "step": 720 + }, + { + "epoch": 0.09, + "learning_rate": 4.9494154737446825e-05, + "loss": 4.0916, + "step": 721 + }, + { + "epoch": 0.09, + "learning_rate": 4.9492078012930005e-05, + "loss": 4.1207, + "step": 722 + }, + { + "epoch": 0.09, + "learning_rate": 4.948999707794104e-05, + "loss": 4.1424, + "step": 723 + }, + { + "epoch": 0.09, + "learning_rate": 4.9487911932837664e-05, + "loss": 4.1851, + "step": 724 + }, + { + "epoch": 0.09, + "learning_rate": 4.948582257797834e-05, + "loss": 4.2056, + "step": 725 + }, + { + "epoch": 0.09, + "learning_rate": 4.948372901372225e-05, + "loss": 4.1026, + "step": 726 + }, + { + "epoch": 0.09, + "learning_rate": 4.94816312404293e-05, + "loss": 4.1997, + "step": 727 + }, + { + "epoch": 0.09, + "learning_rate": 4.947952925846013e-05, + "loss": 4.0944, + "step": 728 + }, + { + "epoch": 0.09, + "learning_rate": 4.947742306817608e-05, + "loss": 4.1099, + "step": 729 + }, + { + "epoch": 0.09, + "learning_rate": 4.9475312669939246e-05, + "loss": 4.1459, + "step": 730 + }, + { + "epoch": 0.09, + "learning_rate": 4.9473198064112426e-05, + "loss": 4.1264, + "step": 731 + }, + { + "epoch": 0.09, + "learning_rate": 4.9471079251059126e-05, + "loss": 4.182, + "step": 732 + }, + { + "epoch": 0.09, + "learning_rate": 4.9468956231143626e-05, + "loss": 4.1316, + "step": 733 + }, + { + "epoch": 0.09, + "learning_rate": 4.9466829004730874e-05, + "loss": 4.1716, + "step": 734 + }, + { + "epoch": 0.09, + "learning_rate": 4.946469757218657e-05, + "loss": 4.2168, + "step": 735 + }, + { + "epoch": 0.09, + "learning_rate": 4.946256193387714e-05, + "loss": 4.1873, + "step": 736 + }, + { + "epoch": 0.09, + "learning_rate": 4.946042209016971e-05, + "loss": 4.0694, + "step": 737 + }, + { + "epoch": 0.09, + "learning_rate": 4.945827804143216e-05, + "loss": 4.252, + "step": 738 + }, + { + "epoch": 0.09, + "learning_rate": 4.9456129788033066e-05, + "loss": 3.9956, + "step": 739 + }, + { + "epoch": 0.09, + "learning_rate": 4.9453977330341747e-05, + "loss": 4.181, + "step": 740 + }, + { + "epoch": 0.09, + "learning_rate": 4.945182066872823e-05, + "loss": 4.1622, + "step": 741 + }, + { + "epoch": 0.09, + "learning_rate": 4.944965980356327e-05, + "loss": 4.0775, + "step": 742 + }, + { + "epoch": 0.1, + "learning_rate": 4.9447494735218344e-05, + "loss": 4.1395, + "step": 743 + }, + { + "epoch": 0.1, + "learning_rate": 4.944532546406565e-05, + "loss": 4.1781, + "step": 744 + }, + { + "epoch": 0.1, + "learning_rate": 4.944315199047811e-05, + "loss": 4.1255, + "step": 745 + }, + { + "epoch": 0.1, + "learning_rate": 4.9440974314829385e-05, + "loss": 4.1317, + "step": 746 + }, + { + "epoch": 0.1, + "learning_rate": 4.943879243749383e-05, + "loss": 4.2029, + "step": 747 + }, + { + "epoch": 0.1, + "learning_rate": 4.943660635884653e-05, + "loss": 4.0465, + "step": 748 + }, + { + "epoch": 0.1, + "learning_rate": 4.94344160792633e-05, + "loss": 4.1777, + "step": 749 + }, + { + "epoch": 0.1, + "learning_rate": 4.943222159912069e-05, + "loss": 4.0933, + "step": 750 + }, + { + "epoch": 0.1, + "learning_rate": 4.9430022918795936e-05, + "loss": 4.2005, + "step": 751 + }, + { + "epoch": 0.1, + "learning_rate": 4.942782003866703e-05, + "loss": 4.194, + "step": 752 + }, + { + "epoch": 0.1, + "learning_rate": 4.942561295911267e-05, + "loss": 4.1286, + "step": 753 + }, + { + "epoch": 0.1, + "learning_rate": 4.942340168051226e-05, + "loss": 4.2283, + "step": 754 + }, + { + "epoch": 0.1, + "learning_rate": 4.942118620324597e-05, + "loss": 4.0956, + "step": 755 + }, + { + "epoch": 0.1, + "learning_rate": 4.9418966527694664e-05, + "loss": 4.1956, + "step": 756 + }, + { + "epoch": 0.1, + "learning_rate": 4.941674265423992e-05, + "loss": 4.1088, + "step": 757 + }, + { + "epoch": 0.1, + "learning_rate": 4.9414514583264046e-05, + "loss": 4.2966, + "step": 758 + }, + { + "epoch": 0.1, + "learning_rate": 4.9412282315150086e-05, + "loss": 3.9655, + "step": 759 + }, + { + "epoch": 0.1, + "learning_rate": 4.941004585028177e-05, + "loss": 4.1929, + "step": 760 + }, + { + "epoch": 0.1, + "learning_rate": 4.94078051890436e-05, + "loss": 4.1037, + "step": 761 + }, + { + "epoch": 0.1, + "learning_rate": 4.9405560331820757e-05, + "loss": 4.1405, + "step": 762 + }, + { + "epoch": 0.1, + "learning_rate": 4.940331127899915e-05, + "loss": 4.2694, + "step": 763 + }, + { + "epoch": 0.1, + "learning_rate": 4.940105803096544e-05, + "loss": 4.0368, + "step": 764 + }, + { + "epoch": 0.1, + "learning_rate": 4.939880058810696e-05, + "loss": 4.0665, + "step": 765 + }, + { + "epoch": 0.1, + "learning_rate": 4.9396538950811815e-05, + "loss": 4.1276, + "step": 766 + }, + { + "epoch": 0.1, + "learning_rate": 4.9394273119468795e-05, + "loss": 3.9915, + "step": 767 + }, + { + "epoch": 0.1, + "learning_rate": 4.9392003094467415e-05, + "loss": 4.1201, + "step": 768 + }, + { + "epoch": 0.1, + "learning_rate": 4.938972887619793e-05, + "loss": 4.1583, + "step": 769 + }, + { + "epoch": 0.1, + "learning_rate": 4.93874504650513e-05, + "loss": 4.1486, + "step": 770 + }, + { + "epoch": 0.1, + "learning_rate": 4.938516786141921e-05, + "loss": 4.2081, + "step": 771 + }, + { + "epoch": 0.1, + "learning_rate": 4.938288106569408e-05, + "loss": 4.2208, + "step": 772 + }, + { + "epoch": 0.1, + "learning_rate": 4.9380590078269014e-05, + "loss": 4.0712, + "step": 773 + }, + { + "epoch": 0.1, + "learning_rate": 4.937829489953787e-05, + "loss": 4.2284, + "step": 774 + }, + { + "epoch": 0.1, + "learning_rate": 4.9375995529895215e-05, + "loss": 4.118, + "step": 775 + }, + { + "epoch": 0.1, + "learning_rate": 4.9373691969736335e-05, + "loss": 4.1875, + "step": 776 + }, + { + "epoch": 0.1, + "learning_rate": 4.937138421945725e-05, + "loss": 4.1014, + "step": 777 + }, + { + "epoch": 0.1, + "learning_rate": 4.936907227945467e-05, + "loss": 4.1751, + "step": 778 + }, + { + "epoch": 0.1, + "learning_rate": 4.9366756150126056e-05, + "loss": 4.1583, + "step": 779 + }, + { + "epoch": 0.1, + "learning_rate": 4.936443583186958e-05, + "loss": 4.1414, + "step": 780 + }, + { + "epoch": 0.1, + "learning_rate": 4.936211132508413e-05, + "loss": 4.1166, + "step": 781 + }, + { + "epoch": 0.1, + "learning_rate": 4.9359782630169316e-05, + "loss": 4.0819, + "step": 782 + }, + { + "epoch": 0.1, + "learning_rate": 4.935744974752545e-05, + "loss": 4.1291, + "step": 783 + }, + { + "epoch": 0.1, + "learning_rate": 4.935511267755361e-05, + "loss": 4.0749, + "step": 784 + }, + { + "epoch": 0.1, + "learning_rate": 4.9352771420655556e-05, + "loss": 3.9779, + "step": 785 + }, + { + "epoch": 0.1, + "learning_rate": 4.935042597723376e-05, + "loss": 4.173, + "step": 786 + }, + { + "epoch": 0.1, + "learning_rate": 4.934807634769145e-05, + "loss": 4.2245, + "step": 787 + }, + { + "epoch": 0.1, + "learning_rate": 4.934572253243255e-05, + "loss": 4.1134, + "step": 788 + }, + { + "epoch": 0.1, + "learning_rate": 4.9343364531861706e-05, + "loss": 4.2134, + "step": 789 + }, + { + "epoch": 0.1, + "learning_rate": 4.9341002346384284e-05, + "loss": 4.1643, + "step": 790 + }, + { + "epoch": 0.1, + "learning_rate": 4.933863597640638e-05, + "loss": 4.1745, + "step": 791 + }, + { + "epoch": 0.1, + "learning_rate": 4.933626542233478e-05, + "loss": 4.1799, + "step": 792 + }, + { + "epoch": 0.1, + "learning_rate": 4.933389068457704e-05, + "loss": 4.0732, + "step": 793 + }, + { + "epoch": 0.1, + "learning_rate": 4.933151176354138e-05, + "loss": 4.1325, + "step": 794 + }, + { + "epoch": 0.1, + "learning_rate": 4.932912865963677e-05, + "loss": 4.1223, + "step": 795 + }, + { + "epoch": 0.1, + "learning_rate": 4.932674137327291e-05, + "loss": 4.1262, + "step": 796 + }, + { + "epoch": 0.1, + "learning_rate": 4.932434990486017e-05, + "loss": 4.0392, + "step": 797 + }, + { + "epoch": 0.1, + "learning_rate": 4.9321954254809697e-05, + "loss": 4.0059, + "step": 798 + }, + { + "epoch": 0.1, + "learning_rate": 4.9319554423533335e-05, + "loss": 4.2616, + "step": 799 + }, + { + "epoch": 0.1, + "learning_rate": 4.931715041144361e-05, + "loss": 4.2677, + "step": 800 + }, + { + "epoch": 0.1, + "learning_rate": 4.9314742218953835e-05, + "loss": 4.0284, + "step": 801 + }, + { + "epoch": 0.1, + "learning_rate": 4.931232984647799e-05, + "loss": 4.1033, + "step": 802 + }, + { + "epoch": 0.1, + "learning_rate": 4.930991329443079e-05, + "loss": 4.3229, + "step": 803 + }, + { + "epoch": 0.1, + "learning_rate": 4.930749256322767e-05, + "loss": 4.2261, + "step": 804 + }, + { + "epoch": 0.1, + "learning_rate": 4.930506765328478e-05, + "loss": 4.185, + "step": 805 + }, + { + "epoch": 0.1, + "learning_rate": 4.930263856501899e-05, + "loss": 4.0654, + "step": 806 + }, + { + "epoch": 0.1, + "learning_rate": 4.9300205298847894e-05, + "loss": 4.2408, + "step": 807 + }, + { + "epoch": 0.1, + "learning_rate": 4.92977678551898e-05, + "loss": 4.1955, + "step": 808 + }, + { + "epoch": 0.1, + "learning_rate": 4.929532623446372e-05, + "loss": 3.9983, + "step": 809 + }, + { + "epoch": 0.1, + "learning_rate": 4.9292880437089406e-05, + "loss": 4.0561, + "step": 810 + }, + { + "epoch": 0.1, + "learning_rate": 4.929043046348732e-05, + "loss": 4.0388, + "step": 811 + }, + { + "epoch": 0.1, + "learning_rate": 4.928797631407863e-05, + "loss": 4.1409, + "step": 812 + }, + { + "epoch": 0.1, + "learning_rate": 4.9285517989285254e-05, + "loss": 4.1378, + "step": 813 + }, + { + "epoch": 0.1, + "learning_rate": 4.928305548952978e-05, + "loss": 4.0858, + "step": 814 + }, + { + "epoch": 0.1, + "learning_rate": 4.928058881523557e-05, + "loss": 4.2176, + "step": 815 + }, + { + "epoch": 0.1, + "learning_rate": 4.9278117966826654e-05, + "loss": 4.2305, + "step": 816 + }, + { + "epoch": 0.1, + "learning_rate": 4.92756429447278e-05, + "loss": 4.0491, + "step": 817 + }, + { + "epoch": 0.1, + "learning_rate": 4.927316374936449e-05, + "loss": 4.1978, + "step": 818 + }, + { + "epoch": 0.1, + "learning_rate": 4.927068038116294e-05, + "loss": 4.1337, + "step": 819 + }, + { + "epoch": 0.1, + "learning_rate": 4.9268192840550064e-05, + "loss": 4.1664, + "step": 820 + }, + { + "epoch": 0.11, + "learning_rate": 4.926570112795349e-05, + "loss": 4.1932, + "step": 821 + }, + { + "epoch": 0.11, + "learning_rate": 4.926320524380159e-05, + "loss": 4.1454, + "step": 822 + }, + { + "epoch": 0.11, + "learning_rate": 4.926070518852341e-05, + "loss": 4.1215, + "step": 823 + }, + { + "epoch": 0.11, + "learning_rate": 4.9258200962548775e-05, + "loss": 3.9694, + "step": 824 + }, + { + "epoch": 0.11, + "learning_rate": 4.925569256630815e-05, + "loss": 4.1647, + "step": 825 + }, + { + "epoch": 0.11, + "learning_rate": 4.925318000023279e-05, + "loss": 4.1234, + "step": 826 + }, + { + "epoch": 0.11, + "learning_rate": 4.925066326475461e-05, + "loss": 4.0777, + "step": 827 + }, + { + "epoch": 0.11, + "learning_rate": 4.9248142360306296e-05, + "loss": 4.0284, + "step": 828 + }, + { + "epoch": 0.11, + "learning_rate": 4.924561728732118e-05, + "loss": 4.1312, + "step": 829 + }, + { + "epoch": 0.11, + "learning_rate": 4.9243088046233386e-05, + "loss": 4.1282, + "step": 830 + }, + { + "epoch": 0.11, + "learning_rate": 4.92405546374777e-05, + "loss": 4.1657, + "step": 831 + }, + { + "epoch": 0.11, + "learning_rate": 4.923801706148966e-05, + "loss": 4.1477, + "step": 832 + }, + { + "epoch": 0.11, + "learning_rate": 4.923547531870548e-05, + "loss": 4.1242, + "step": 833 + }, + { + "epoch": 0.11, + "learning_rate": 4.923292940956215e-05, + "loss": 4.075, + "step": 834 + }, + { + "epoch": 0.11, + "learning_rate": 4.9230379334497314e-05, + "loss": 4.2274, + "step": 835 + }, + { + "epoch": 0.11, + "learning_rate": 4.922782509394936e-05, + "loss": 4.1323, + "step": 836 + }, + { + "epoch": 0.11, + "learning_rate": 4.922526668835741e-05, + "loss": 4.1324, + "step": 837 + }, + { + "epoch": 0.11, + "learning_rate": 4.922270411816127e-05, + "loss": 4.1306, + "step": 838 + }, + { + "epoch": 0.11, + "learning_rate": 4.922013738380148e-05, + "loss": 4.1161, + "step": 839 + }, + { + "epoch": 0.11, + "learning_rate": 4.921756648571928e-05, + "loss": 4.0503, + "step": 840 + }, + { + "epoch": 0.11, + "learning_rate": 4.921499142435666e-05, + "loss": 4.0721, + "step": 841 + }, + { + "epoch": 0.11, + "learning_rate": 4.921241220015628e-05, + "loss": 4.0669, + "step": 842 + }, + { + "epoch": 0.11, + "learning_rate": 4.9209828813561554e-05, + "loss": 4.0061, + "step": 843 + }, + { + "epoch": 0.11, + "learning_rate": 4.920724126501659e-05, + "loss": 4.1541, + "step": 844 + }, + { + "epoch": 0.11, + "learning_rate": 4.9204649554966216e-05, + "loss": 4.0748, + "step": 845 + }, + { + "epoch": 0.11, + "learning_rate": 4.920205368385598e-05, + "loss": 3.9827, + "step": 846 + }, + { + "epoch": 0.11, + "learning_rate": 4.9199453652132144e-05, + "loss": 4.0876, + "step": 847 + }, + { + "epoch": 0.11, + "learning_rate": 4.919684946024168e-05, + "loss": 4.248, + "step": 848 + }, + { + "epoch": 0.11, + "learning_rate": 4.9194241108632277e-05, + "loss": 4.0109, + "step": 849 + }, + { + "epoch": 0.11, + "learning_rate": 4.9191628597752345e-05, + "loss": 4.2597, + "step": 850 + }, + { + "epoch": 0.11, + "learning_rate": 4.9189011928051e-05, + "loss": 4.1619, + "step": 851 + }, + { + "epoch": 0.11, + "learning_rate": 4.918639109997809e-05, + "loss": 4.2123, + "step": 852 + }, + { + "epoch": 0.11, + "learning_rate": 4.9183766113984155e-05, + "loss": 4.1452, + "step": 853 + }, + { + "epoch": 0.11, + "learning_rate": 4.918113697052046e-05, + "loss": 4.122, + "step": 854 + }, + { + "epoch": 0.11, + "learning_rate": 4.917850367003898e-05, + "loss": 4.0915, + "step": 855 + }, + { + "epoch": 0.11, + "learning_rate": 4.917586621299243e-05, + "loss": 4.2213, + "step": 856 + }, + { + "epoch": 0.11, + "learning_rate": 4.9173224599834206e-05, + "loss": 4.0787, + "step": 857 + }, + { + "epoch": 0.11, + "learning_rate": 4.9170578831018434e-05, + "loss": 4.1241, + "step": 858 + }, + { + "epoch": 0.11, + "learning_rate": 4.916792890699994e-05, + "loss": 4.1118, + "step": 859 + }, + { + "epoch": 0.11, + "learning_rate": 4.9165274828234295e-05, + "loss": 4.248, + "step": 860 + }, + { + "epoch": 0.11, + "learning_rate": 4.916261659517777e-05, + "loss": 4.1569, + "step": 861 + }, + { + "epoch": 0.11, + "learning_rate": 4.9159954208287324e-05, + "loss": 3.9937, + "step": 862 + }, + { + "epoch": 0.11, + "learning_rate": 4.915728766802066e-05, + "loss": 4.2111, + "step": 863 + }, + { + "epoch": 0.11, + "learning_rate": 4.91546169748362e-05, + "loss": 4.1005, + "step": 864 + }, + { + "epoch": 0.11, + "learning_rate": 4.915194212919305e-05, + "loss": 4.247, + "step": 865 + }, + { + "epoch": 0.11, + "learning_rate": 4.914926313155106e-05, + "loss": 4.0321, + "step": 866 + }, + { + "epoch": 0.11, + "learning_rate": 4.914657998237078e-05, + "loss": 4.0916, + "step": 867 + }, + { + "epoch": 0.11, + "learning_rate": 4.914389268211346e-05, + "loss": 4.1515, + "step": 868 + }, + { + "epoch": 0.11, + "learning_rate": 4.9141201231241085e-05, + "loss": 4.1944, + "step": 869 + }, + { + "epoch": 0.11, + "learning_rate": 4.9138505630216356e-05, + "loss": 4.2414, + "step": 870 + }, + { + "epoch": 0.11, + "learning_rate": 4.913580587950267e-05, + "loss": 4.0902, + "step": 871 + }, + { + "epoch": 0.11, + "learning_rate": 4.9133101979564156e-05, + "loss": 4.0939, + "step": 872 + }, + { + "epoch": 0.11, + "learning_rate": 4.913039393086563e-05, + "loss": 4.1302, + "step": 873 + }, + { + "epoch": 0.11, + "learning_rate": 4.912768173387264e-05, + "loss": 3.9594, + "step": 874 + }, + { + "epoch": 0.11, + "learning_rate": 4.912496538905145e-05, + "loss": 4.1878, + "step": 875 + }, + { + "epoch": 0.11, + "learning_rate": 4.912224489686903e-05, + "loss": 3.9571, + "step": 876 + }, + { + "epoch": 0.11, + "learning_rate": 4.911952025779306e-05, + "loss": 4.2673, + "step": 877 + }, + { + "epoch": 0.11, + "learning_rate": 4.9116791472291943e-05, + "loss": 4.259, + "step": 878 + }, + { + "epoch": 0.11, + "learning_rate": 4.911405854083479e-05, + "loss": 4.1172, + "step": 879 + }, + { + "epoch": 0.11, + "learning_rate": 4.911132146389141e-05, + "loss": 4.0728, + "step": 880 + }, + { + "epoch": 0.11, + "learning_rate": 4.910858024193236e-05, + "loss": 3.9453, + "step": 881 + }, + { + "epoch": 0.11, + "learning_rate": 4.9105834875428866e-05, + "loss": 4.1767, + "step": 882 + }, + { + "epoch": 0.11, + "learning_rate": 4.910308536485291e-05, + "loss": 3.9747, + "step": 883 + }, + { + "epoch": 0.11, + "learning_rate": 4.9100331710677136e-05, + "loss": 4.1929, + "step": 884 + }, + { + "epoch": 0.11, + "learning_rate": 4.909757391337496e-05, + "loss": 4.1314, + "step": 885 + }, + { + "epoch": 0.11, + "learning_rate": 4.909481197342046e-05, + "loss": 4.0642, + "step": 886 + }, + { + "epoch": 0.11, + "learning_rate": 4.9092045891288454e-05, + "loss": 4.1907, + "step": 887 + }, + { + "epoch": 0.11, + "learning_rate": 4.908927566745446e-05, + "loss": 4.141, + "step": 888 + }, + { + "epoch": 0.11, + "learning_rate": 4.908650130239471e-05, + "loss": 4.1238, + "step": 889 + }, + { + "epoch": 0.11, + "learning_rate": 4.908372279658614e-05, + "loss": 4.0385, + "step": 890 + }, + { + "epoch": 0.11, + "learning_rate": 4.9080940150506434e-05, + "loss": 4.021, + "step": 891 + }, + { + "epoch": 0.11, + "learning_rate": 4.907815336463394e-05, + "loss": 4.0759, + "step": 892 + }, + { + "epoch": 0.11, + "learning_rate": 4.9075362439447744e-05, + "loss": 4.2298, + "step": 893 + }, + { + "epoch": 0.11, + "learning_rate": 4.907256737542764e-05, + "loss": 4.0183, + "step": 894 + }, + { + "epoch": 0.11, + "learning_rate": 4.906976817305413e-05, + "loss": 4.076, + "step": 895 + }, + { + "epoch": 0.11, + "learning_rate": 4.9066964832808436e-05, + "loss": 4.0693, + "step": 896 + }, + { + "epoch": 0.11, + "learning_rate": 4.9064157355172474e-05, + "loss": 4.1802, + "step": 897 + }, + { + "epoch": 0.11, + "learning_rate": 4.9061345740628886e-05, + "loss": 3.9912, + "step": 898 + }, + { + "epoch": 0.12, + "learning_rate": 4.905852998966103e-05, + "loss": 4.0447, + "step": 899 + }, + { + "epoch": 0.12, + "learning_rate": 4.905571010275295e-05, + "loss": 4.0459, + "step": 900 + }, + { + "epoch": 0.12, + "learning_rate": 4.9052886080389425e-05, + "loss": 4.1637, + "step": 901 + }, + { + "epoch": 0.12, + "learning_rate": 4.9050057923055945e-05, + "loss": 4.1132, + "step": 902 + }, + { + "epoch": 0.12, + "learning_rate": 4.904722563123869e-05, + "loss": 4.0846, + "step": 903 + }, + { + "epoch": 0.12, + "learning_rate": 4.9044389205424576e-05, + "loss": 4.0735, + "step": 904 + }, + { + "epoch": 0.12, + "learning_rate": 4.904154864610121e-05, + "loss": 4.052, + "step": 905 + }, + { + "epoch": 0.12, + "learning_rate": 4.903870395375691e-05, + "loss": 4.0428, + "step": 906 + }, + { + "epoch": 0.12, + "learning_rate": 4.9035855128880724e-05, + "loss": 4.0771, + "step": 907 + }, + { + "epoch": 0.12, + "learning_rate": 4.9033002171962395e-05, + "loss": 4.1504, + "step": 908 + }, + { + "epoch": 0.12, + "learning_rate": 4.9030145083492376e-05, + "loss": 4.1837, + "step": 909 + }, + { + "epoch": 0.12, + "learning_rate": 4.902728386396184e-05, + "loss": 4.163, + "step": 910 + }, + { + "epoch": 0.12, + "learning_rate": 4.9024418513862655e-05, + "loss": 4.0956, + "step": 911 + }, + { + "epoch": 0.12, + "learning_rate": 4.9021549033687414e-05, + "loss": 4.0906, + "step": 912 + }, + { + "epoch": 0.12, + "learning_rate": 4.9018675423929416e-05, + "loss": 4.03, + "step": 913 + }, + { + "epoch": 0.12, + "learning_rate": 4.901579768508266e-05, + "loss": 4.1886, + "step": 914 + }, + { + "epoch": 0.12, + "learning_rate": 4.901291581764187e-05, + "loss": 4.1486, + "step": 915 + }, + { + "epoch": 0.12, + "learning_rate": 4.901002982210246e-05, + "loss": 4.1345, + "step": 916 + }, + { + "epoch": 0.12, + "learning_rate": 4.900713969896059e-05, + "loss": 4.1206, + "step": 917 + }, + { + "epoch": 0.12, + "learning_rate": 4.900424544871308e-05, + "loss": 4.1559, + "step": 918 + }, + { + "epoch": 0.12, + "learning_rate": 4.900134707185751e-05, + "loss": 4.1397, + "step": 919 + }, + { + "epoch": 0.12, + "learning_rate": 4.899844456889211e-05, + "loss": 4.3261, + "step": 920 + }, + { + "epoch": 0.12, + "learning_rate": 4.899553794031589e-05, + "loss": 4.1242, + "step": 921 + }, + { + "epoch": 0.12, + "learning_rate": 4.8992627186628514e-05, + "loss": 4.271, + "step": 922 + }, + { + "epoch": 0.12, + "learning_rate": 4.8989712308330376e-05, + "loss": 4.0689, + "step": 923 + }, + { + "epoch": 0.12, + "learning_rate": 4.898679330592258e-05, + "loss": 4.1348, + "step": 924 + }, + { + "epoch": 0.12, + "learning_rate": 4.898387017990694e-05, + "loss": 4.0242, + "step": 925 + }, + { + "epoch": 0.12, + "learning_rate": 4.8980942930785965e-05, + "loss": 4.1783, + "step": 926 + }, + { + "epoch": 0.12, + "learning_rate": 4.8978011559062895e-05, + "loss": 3.9852, + "step": 927 + }, + { + "epoch": 0.12, + "learning_rate": 4.897507606524167e-05, + "loss": 4.0912, + "step": 928 + }, + { + "epoch": 0.12, + "learning_rate": 4.897213644982691e-05, + "loss": 4.0139, + "step": 929 + }, + { + "epoch": 0.12, + "learning_rate": 4.896919271332399e-05, + "loss": 3.9977, + "step": 930 + }, + { + "epoch": 0.12, + "learning_rate": 4.896624485623896e-05, + "loss": 4.0334, + "step": 931 + }, + { + "epoch": 0.12, + "learning_rate": 4.896329287907861e-05, + "loss": 4.0652, + "step": 932 + }, + { + "epoch": 0.12, + "learning_rate": 4.896033678235041e-05, + "loss": 4.2077, + "step": 933 + }, + { + "epoch": 0.12, + "learning_rate": 4.895737656656254e-05, + "loss": 4.0802, + "step": 934 + }, + { + "epoch": 0.12, + "learning_rate": 4.89544122322239e-05, + "loss": 4.1537, + "step": 935 + }, + { + "epoch": 0.12, + "learning_rate": 4.8951443779844096e-05, + "loss": 4.0923, + "step": 936 + }, + { + "epoch": 0.12, + "learning_rate": 4.894847120993343e-05, + "loss": 3.9454, + "step": 937 + }, + { + "epoch": 0.12, + "learning_rate": 4.894549452300294e-05, + "loss": 4.0154, + "step": 938 + }, + { + "epoch": 0.12, + "learning_rate": 4.894251371956433e-05, + "loss": 4.1409, + "step": 939 + }, + { + "epoch": 0.12, + "learning_rate": 4.893952880013006e-05, + "loss": 4.0892, + "step": 940 + }, + { + "epoch": 0.12, + "learning_rate": 4.893653976521325e-05, + "loss": 4.0768, + "step": 941 + }, + { + "epoch": 0.12, + "learning_rate": 4.8933546615327756e-05, + "loss": 4.1166, + "step": 942 + }, + { + "epoch": 0.12, + "learning_rate": 4.893054935098814e-05, + "loss": 4.2203, + "step": 943 + }, + { + "epoch": 0.12, + "learning_rate": 4.892754797270966e-05, + "loss": 4.1225, + "step": 944 + }, + { + "epoch": 0.12, + "learning_rate": 4.8924542481008303e-05, + "loss": 4.2079, + "step": 945 + }, + { + "epoch": 0.12, + "learning_rate": 4.892153287640073e-05, + "loss": 4.1073, + "step": 946 + }, + { + "epoch": 0.12, + "learning_rate": 4.891851915940433e-05, + "loss": 4.0412, + "step": 947 + }, + { + "epoch": 0.12, + "learning_rate": 4.89155013305372e-05, + "loss": 4.1034, + "step": 948 + }, + { + "epoch": 0.12, + "learning_rate": 4.891247939031815e-05, + "loss": 4.0123, + "step": 949 + }, + { + "epoch": 0.12, + "learning_rate": 4.8909453339266655e-05, + "loss": 4.0339, + "step": 950 + }, + { + "epoch": 0.12, + "learning_rate": 4.890642317790296e-05, + "loss": 4.1359, + "step": 951 + }, + { + "epoch": 0.12, + "learning_rate": 4.8903388906747974e-05, + "loss": 4.2815, + "step": 952 + }, + { + "epoch": 0.12, + "learning_rate": 4.890035052632332e-05, + "loss": 4.0929, + "step": 953 + }, + { + "epoch": 0.12, + "learning_rate": 4.889730803715134e-05, + "loss": 4.2052, + "step": 954 + }, + { + "epoch": 0.12, + "learning_rate": 4.889426143975506e-05, + "loss": 4.1422, + "step": 955 + }, + { + "epoch": 0.12, + "learning_rate": 4.889121073465824e-05, + "loss": 4.0958, + "step": 956 + }, + { + "epoch": 0.12, + "learning_rate": 4.888815592238532e-05, + "loss": 3.9774, + "step": 957 + }, + { + "epoch": 0.12, + "learning_rate": 4.888509700346146e-05, + "loss": 4.0617, + "step": 958 + }, + { + "epoch": 0.12, + "learning_rate": 4.888203397841253e-05, + "loss": 4.0697, + "step": 959 + }, + { + "epoch": 0.12, + "learning_rate": 4.8878966847765086e-05, + "loss": 3.99, + "step": 960 + }, + { + "epoch": 0.12, + "learning_rate": 4.887589561204642e-05, + "loss": 4.0487, + "step": 961 + }, + { + "epoch": 0.12, + "learning_rate": 4.8872820271784506e-05, + "loss": 3.9241, + "step": 962 + }, + { + "epoch": 0.12, + "learning_rate": 4.8869740827508025e-05, + "loss": 4.0043, + "step": 963 + }, + { + "epoch": 0.12, + "learning_rate": 4.886665727974637e-05, + "loss": 4.0497, + "step": 964 + }, + { + "epoch": 0.12, + "learning_rate": 4.886356962902966e-05, + "loss": 4.193, + "step": 965 + }, + { + "epoch": 0.12, + "learning_rate": 4.8860477875888664e-05, + "loss": 4.1071, + "step": 966 + }, + { + "epoch": 0.12, + "learning_rate": 4.8857382020854915e-05, + "loss": 3.9764, + "step": 967 + }, + { + "epoch": 0.12, + "learning_rate": 4.885428206446061e-05, + "loss": 4.0804, + "step": 968 + }, + { + "epoch": 0.12, + "learning_rate": 4.8851178007238687e-05, + "loss": 4.256, + "step": 969 + }, + { + "epoch": 0.12, + "learning_rate": 4.8848069849722744e-05, + "loss": 4.1705, + "step": 970 + }, + { + "epoch": 0.12, + "learning_rate": 4.884495759244713e-05, + "loss": 4.1775, + "step": 971 + }, + { + "epoch": 0.12, + "learning_rate": 4.884184123594687e-05, + "loss": 4.128, + "step": 972 + }, + { + "epoch": 0.12, + "learning_rate": 4.8838720780757707e-05, + "loss": 4.0583, + "step": 973 + }, + { + "epoch": 0.12, + "learning_rate": 4.883559622741608e-05, + "loss": 4.1512, + "step": 974 + }, + { + "epoch": 0.12, + "learning_rate": 4.8832467576459135e-05, + "loss": 4.182, + "step": 975 + }, + { + "epoch": 0.12, + "learning_rate": 4.882933482842472e-05, + "loss": 4.0232, + "step": 976 + }, + { + "epoch": 0.13, + "learning_rate": 4.8826197983851396e-05, + "loss": 3.9886, + "step": 977 + }, + { + "epoch": 0.13, + "learning_rate": 4.882305704327843e-05, + "loss": 4.1768, + "step": 978 + }, + { + "epoch": 0.13, + "learning_rate": 4.8819912007245767e-05, + "loss": 4.1639, + "step": 979 + }, + { + "epoch": 0.13, + "learning_rate": 4.8816762876294086e-05, + "loss": 4.0604, + "step": 980 + }, + { + "epoch": 0.13, + "learning_rate": 4.8813609650964763e-05, + "loss": 4.0705, + "step": 981 + }, + { + "epoch": 0.13, + "learning_rate": 4.881045233179987e-05, + "loss": 3.9886, + "step": 982 + }, + { + "epoch": 0.13, + "learning_rate": 4.880729091934219e-05, + "loss": 4.1731, + "step": 983 + }, + { + "epoch": 0.13, + "learning_rate": 4.8804125414135195e-05, + "loss": 4.0753, + "step": 984 + }, + { + "epoch": 0.13, + "learning_rate": 4.880095581672308e-05, + "loss": 4.0277, + "step": 985 + }, + { + "epoch": 0.13, + "learning_rate": 4.879778212765075e-05, + "loss": 3.9934, + "step": 986 + }, + { + "epoch": 0.13, + "learning_rate": 4.879460434746377e-05, + "loss": 4.0971, + "step": 987 + }, + { + "epoch": 0.13, + "learning_rate": 4.879142247670846e-05, + "loss": 4.092, + "step": 988 + }, + { + "epoch": 0.13, + "learning_rate": 4.878823651593181e-05, + "loss": 4.1269, + "step": 989 + }, + { + "epoch": 0.13, + "learning_rate": 4.878504646568152e-05, + "loss": 4.0241, + "step": 990 + }, + { + "epoch": 0.13, + "learning_rate": 4.8781852326506004e-05, + "loss": 4.0841, + "step": 991 + }, + { + "epoch": 0.13, + "learning_rate": 4.877865409895438e-05, + "loss": 4.2149, + "step": 992 + }, + { + "epoch": 0.13, + "learning_rate": 4.8775451783576444e-05, + "loss": 4.1261, + "step": 993 + }, + { + "epoch": 0.13, + "learning_rate": 4.8772245380922714e-05, + "loss": 4.0717, + "step": 994 + }, + { + "epoch": 0.13, + "learning_rate": 4.876903489154442e-05, + "loss": 4.0944, + "step": 995 + }, + { + "epoch": 0.13, + "learning_rate": 4.876582031599347e-05, + "loss": 4.0503, + "step": 996 + }, + { + "epoch": 0.13, + "learning_rate": 4.8762601654822485e-05, + "loss": 4.0675, + "step": 997 + }, + { + "epoch": 0.13, + "learning_rate": 4.8759378908584805e-05, + "loss": 3.9608, + "step": 998 + }, + { + "epoch": 0.13, + "learning_rate": 4.875615207783444e-05, + "loss": 4.2557, + "step": 999 + }, + { + "epoch": 0.13, + "learning_rate": 4.875292116312613e-05, + "loss": 4.1267, + "step": 1000 + }, + { + "epoch": 0.13, + "learning_rate": 4.8749686165015307e-05, + "loss": 3.9184, + "step": 1001 + }, + { + "epoch": 0.13, + "learning_rate": 4.8746447084058106e-05, + "loss": 4.0259, + "step": 1002 + }, + { + "epoch": 0.13, + "learning_rate": 4.874320392081135e-05, + "loss": 4.1482, + "step": 1003 + }, + { + "epoch": 0.13, + "learning_rate": 4.873995667583259e-05, + "loss": 4.0443, + "step": 1004 + }, + { + "epoch": 0.13, + "learning_rate": 4.873670534968006e-05, + "loss": 4.1278, + "step": 1005 + }, + { + "epoch": 0.13, + "learning_rate": 4.8733449942912704e-05, + "loss": 4.1286, + "step": 1006 + }, + { + "epoch": 0.13, + "learning_rate": 4.873019045609016e-05, + "loss": 4.1073, + "step": 1007 + }, + { + "epoch": 0.13, + "learning_rate": 4.872692688977277e-05, + "loss": 4.0457, + "step": 1008 + }, + { + "epoch": 0.13, + "learning_rate": 4.872365924452158e-05, + "loss": 4.0325, + "step": 1009 + }, + { + "epoch": 0.13, + "learning_rate": 4.872038752089834e-05, + "loss": 3.9659, + "step": 1010 + }, + { + "epoch": 0.13, + "learning_rate": 4.8717111719465494e-05, + "loss": 4.0665, + "step": 1011 + }, + { + "epoch": 0.13, + "learning_rate": 4.8713831840786194e-05, + "loss": 4.059, + "step": 1012 + }, + { + "epoch": 0.13, + "learning_rate": 4.8710547885424284e-05, + "loss": 4.174, + "step": 1013 + }, + { + "epoch": 0.13, + "learning_rate": 4.870725985394432e-05, + "loss": 3.9159, + "step": 1014 + }, + { + "epoch": 0.13, + "learning_rate": 4.870396774691154e-05, + "loss": 4.2476, + "step": 1015 + }, + { + "epoch": 0.13, + "learning_rate": 4.870067156489191e-05, + "loss": 4.0844, + "step": 1016 + }, + { + "epoch": 0.13, + "learning_rate": 4.8697371308452075e-05, + "loss": 4.0433, + "step": 1017 + }, + { + "epoch": 0.13, + "learning_rate": 4.869406697815939e-05, + "loss": 4.1878, + "step": 1018 + }, + { + "epoch": 0.13, + "learning_rate": 4.869075857458191e-05, + "loss": 3.9087, + "step": 1019 + }, + { + "epoch": 0.13, + "learning_rate": 4.868744609828838e-05, + "loss": 4.009, + "step": 1020 + }, + { + "epoch": 0.13, + "learning_rate": 4.868412954984825e-05, + "loss": 4.0164, + "step": 1021 + }, + { + "epoch": 0.13, + "learning_rate": 4.868080892983169e-05, + "loss": 4.1793, + "step": 1022 + }, + { + "epoch": 0.13, + "learning_rate": 4.867748423880954e-05, + "loss": 4.009, + "step": 1023 + }, + { + "epoch": 0.13, + "learning_rate": 4.867415547735336e-05, + "loss": 3.9984, + "step": 1024 + }, + { + "epoch": 0.13, + "learning_rate": 4.86708226460354e-05, + "loss": 3.9915, + "step": 1025 + }, + { + "epoch": 0.13, + "learning_rate": 4.86674857454286e-05, + "loss": 4.0481, + "step": 1026 + }, + { + "epoch": 0.13, + "learning_rate": 4.866414477610664e-05, + "loss": 4.074, + "step": 1027 + }, + { + "epoch": 0.13, + "learning_rate": 4.866079973864384e-05, + "loss": 4.0303, + "step": 1028 + }, + { + "epoch": 0.13, + "learning_rate": 4.865745063361527e-05, + "loss": 4.0546, + "step": 1029 + }, + { + "epoch": 0.13, + "learning_rate": 4.8654097461596673e-05, + "loss": 4.1398, + "step": 1030 + }, + { + "epoch": 0.13, + "learning_rate": 4.8650740223164505e-05, + "loss": 3.9433, + "step": 1031 + }, + { + "epoch": 0.13, + "learning_rate": 4.864737891889591e-05, + "loss": 4.1847, + "step": 1032 + }, + { + "epoch": 0.13, + "learning_rate": 4.864401354936873e-05, + "loss": 3.8992, + "step": 1033 + }, + { + "epoch": 0.13, + "learning_rate": 4.8640644115161526e-05, + "loss": 4.1399, + "step": 1034 + }, + { + "epoch": 0.13, + "learning_rate": 4.863727061685353e-05, + "loss": 3.9768, + "step": 1035 + }, + { + "epoch": 0.13, + "learning_rate": 4.863389305502468e-05, + "loss": 4.1617, + "step": 1036 + }, + { + "epoch": 0.13, + "learning_rate": 4.8630511430255635e-05, + "loss": 4.0577, + "step": 1037 + }, + { + "epoch": 0.13, + "learning_rate": 4.8627125743127716e-05, + "loss": 3.9987, + "step": 1038 + }, + { + "epoch": 0.13, + "learning_rate": 4.862373599422298e-05, + "loss": 4.15, + "step": 1039 + }, + { + "epoch": 0.13, + "learning_rate": 4.8620342184124154e-05, + "loss": 4.2085, + "step": 1040 + }, + { + "epoch": 0.13, + "learning_rate": 4.861694431341468e-05, + "loss": 4.0463, + "step": 1041 + }, + { + "epoch": 0.13, + "learning_rate": 4.8613542382678684e-05, + "loss": 4.1683, + "step": 1042 + }, + { + "epoch": 0.13, + "learning_rate": 4.8610136392501e-05, + "loss": 4.1377, + "step": 1043 + }, + { + "epoch": 0.13, + "learning_rate": 4.8606726343467165e-05, + "loss": 4.1401, + "step": 1044 + }, + { + "epoch": 0.13, + "learning_rate": 4.860331223616339e-05, + "loss": 4.1081, + "step": 1045 + }, + { + "epoch": 0.13, + "learning_rate": 4.859989407117661e-05, + "loss": 4.2102, + "step": 1046 + }, + { + "epoch": 0.13, + "learning_rate": 4.859647184909445e-05, + "loss": 4.0457, + "step": 1047 + }, + { + "epoch": 0.13, + "learning_rate": 4.859304557050522e-05, + "loss": 3.9643, + "step": 1048 + }, + { + "epoch": 0.13, + "learning_rate": 4.8589615235997956e-05, + "loss": 4.029, + "step": 1049 + }, + { + "epoch": 0.13, + "learning_rate": 4.8586180846162344e-05, + "loss": 4.1022, + "step": 1050 + }, + { + "epoch": 0.13, + "learning_rate": 4.8582742401588817e-05, + "loss": 4.0092, + "step": 1051 + }, + { + "epoch": 0.13, + "learning_rate": 4.8579299902868466e-05, + "loss": 4.1759, + "step": 1052 + }, + { + "epoch": 0.13, + "learning_rate": 4.857585335059312e-05, + "loss": 3.8937, + "step": 1053 + }, + { + "epoch": 0.13, + "learning_rate": 4.857240274535526e-05, + "loss": 4.0576, + "step": 1054 + }, + { + "epoch": 0.14, + "learning_rate": 4.85689480877481e-05, + "loss": 4.0753, + "step": 1055 + }, + { + "epoch": 0.14, + "learning_rate": 4.856548937836552e-05, + "loss": 4.0771, + "step": 1056 + }, + { + "epoch": 0.14, + "learning_rate": 4.856202661780214e-05, + "loss": 4.0966, + "step": 1057 + }, + { + "epoch": 0.14, + "learning_rate": 4.8558559806653214e-05, + "loss": 4.1272, + "step": 1058 + }, + { + "epoch": 0.14, + "learning_rate": 4.855508894551474e-05, + "loss": 4.0647, + "step": 1059 + }, + { + "epoch": 0.14, + "learning_rate": 4.855161403498341e-05, + "loss": 4.1448, + "step": 1060 + }, + { + "epoch": 0.14, + "learning_rate": 4.8548135075656596e-05, + "loss": 4.1615, + "step": 1061 + }, + { + "epoch": 0.14, + "learning_rate": 4.854465206813236e-05, + "loss": 4.173, + "step": 1062 + }, + { + "epoch": 0.14, + "learning_rate": 4.854116501300949e-05, + "loss": 4.0451, + "step": 1063 + }, + { + "epoch": 0.14, + "learning_rate": 4.8537673910887435e-05, + "loss": 4.1146, + "step": 1064 + }, + { + "epoch": 0.14, + "learning_rate": 4.8534178762366366e-05, + "loss": 4.0938, + "step": 1065 + }, + { + "epoch": 0.14, + "learning_rate": 4.853067956804713e-05, + "loss": 4.0255, + "step": 1066 + }, + { + "epoch": 0.14, + "learning_rate": 4.8527176328531296e-05, + "loss": 4.0395, + "step": 1067 + }, + { + "epoch": 0.14, + "learning_rate": 4.852366904442109e-05, + "loss": 4.1455, + "step": 1068 + }, + { + "epoch": 0.14, + "learning_rate": 4.852015771631947e-05, + "loss": 3.9825, + "step": 1069 + }, + { + "epoch": 0.14, + "learning_rate": 4.851664234483008e-05, + "loss": 4.0978, + "step": 1070 + }, + { + "epoch": 0.14, + "learning_rate": 4.851312293055723e-05, + "loss": 4.0221, + "step": 1071 + }, + { + "epoch": 0.14, + "learning_rate": 4.850959947410596e-05, + "loss": 4.1255, + "step": 1072 + }, + { + "epoch": 0.14, + "learning_rate": 4.8506071976081995e-05, + "loss": 4.0463, + "step": 1073 + }, + { + "epoch": 0.14, + "learning_rate": 4.850254043709176e-05, + "loss": 4.0898, + "step": 1074 + }, + { + "epoch": 0.14, + "learning_rate": 4.8499004857742346e-05, + "loss": 4.0285, + "step": 1075 + }, + { + "epoch": 0.14, + "learning_rate": 4.849546523864158e-05, + "loss": 4.0924, + "step": 1076 + }, + { + "epoch": 0.14, + "learning_rate": 4.849192158039796e-05, + "loss": 4.1449, + "step": 1077 + }, + { + "epoch": 0.14, + "learning_rate": 4.848837388362067e-05, + "loss": 4.0529, + "step": 1078 + }, + { + "epoch": 0.14, + "learning_rate": 4.8484822148919614e-05, + "loss": 4.0908, + "step": 1079 + }, + { + "epoch": 0.14, + "learning_rate": 4.848126637690537e-05, + "loss": 4.1221, + "step": 1080 + }, + { + "epoch": 0.14, + "learning_rate": 4.847770656818922e-05, + "loss": 4.0801, + "step": 1081 + }, + { + "epoch": 0.14, + "learning_rate": 4.847414272338313e-05, + "loss": 4.1797, + "step": 1082 + }, + { + "epoch": 0.14, + "learning_rate": 4.847057484309977e-05, + "loss": 3.9983, + "step": 1083 + }, + { + "epoch": 0.14, + "learning_rate": 4.846700292795251e-05, + "loss": 3.9292, + "step": 1084 + }, + { + "epoch": 0.14, + "learning_rate": 4.8463426978555384e-05, + "loss": 4.0237, + "step": 1085 + }, + { + "epoch": 0.14, + "learning_rate": 4.845984699552315e-05, + "loss": 4.1477, + "step": 1086 + }, + { + "epoch": 0.14, + "learning_rate": 4.845626297947125e-05, + "loss": 4.0147, + "step": 1087 + }, + { + "epoch": 0.14, + "learning_rate": 4.845267493101582e-05, + "loss": 4.0377, + "step": 1088 + }, + { + "epoch": 0.14, + "learning_rate": 4.8449082850773676e-05, + "loss": 3.9273, + "step": 1089 + }, + { + "epoch": 0.14, + "learning_rate": 4.8445486739362345e-05, + "loss": 3.9379, + "step": 1090 + }, + { + "epoch": 0.14, + "learning_rate": 4.844188659740004e-05, + "loss": 3.9778, + "step": 1091 + }, + { + "epoch": 0.14, + "learning_rate": 4.8438282425505664e-05, + "loss": 4.0232, + "step": 1092 + }, + { + "epoch": 0.14, + "learning_rate": 4.8434674224298825e-05, + "loss": 3.9904, + "step": 1093 + }, + { + "epoch": 0.14, + "learning_rate": 4.843106199439981e-05, + "loss": 4.2537, + "step": 1094 + }, + { + "epoch": 0.14, + "learning_rate": 4.84274457364296e-05, + "loss": 4.1274, + "step": 1095 + }, + { + "epoch": 0.14, + "learning_rate": 4.842382545100987e-05, + "loss": 4.0304, + "step": 1096 + }, + { + "epoch": 0.14, + "learning_rate": 4.8420201138763e-05, + "loss": 4.1596, + "step": 1097 + }, + { + "epoch": 0.14, + "learning_rate": 4.841657280031204e-05, + "loss": 3.9021, + "step": 1098 + }, + { + "epoch": 0.14, + "learning_rate": 4.8412940436280747e-05, + "loss": 4.0505, + "step": 1099 + }, + { + "epoch": 0.14, + "learning_rate": 4.840930404729357e-05, + "loss": 4.0402, + "step": 1100 + }, + { + "epoch": 0.14, + "learning_rate": 4.840566363397564e-05, + "loss": 4.097, + "step": 1101 + }, + { + "epoch": 0.14, + "learning_rate": 4.8402019196952786e-05, + "loss": 3.9973, + "step": 1102 + }, + { + "epoch": 0.14, + "learning_rate": 4.839837073685154e-05, + "loss": 4.1045, + "step": 1103 + }, + { + "epoch": 0.14, + "learning_rate": 4.83947182542991e-05, + "loss": 4.0319, + "step": 1104 + }, + { + "epoch": 0.14, + "learning_rate": 4.839106174992338e-05, + "loss": 3.8926, + "step": 1105 + }, + { + "epoch": 0.14, + "learning_rate": 4.838740122435298e-05, + "loss": 3.9728, + "step": 1106 + }, + { + "epoch": 0.14, + "learning_rate": 4.8383736678217174e-05, + "loss": 4.0306, + "step": 1107 + }, + { + "epoch": 0.14, + "learning_rate": 4.8380068112145936e-05, + "loss": 4.1003, + "step": 1108 + }, + { + "epoch": 0.14, + "learning_rate": 4.837639552676996e-05, + "loss": 4.0983, + "step": 1109 + }, + { + "epoch": 0.14, + "learning_rate": 4.837271892272058e-05, + "loss": 4.1468, + "step": 1110 + }, + { + "epoch": 0.14, + "learning_rate": 4.836903830062986e-05, + "loss": 4.0801, + "step": 1111 + }, + { + "epoch": 0.14, + "learning_rate": 4.836535366113054e-05, + "loss": 3.917, + "step": 1112 + }, + { + "epoch": 0.14, + "learning_rate": 4.836166500485605e-05, + "loss": 4.027, + "step": 1113 + }, + { + "epoch": 0.14, + "learning_rate": 4.835797233244052e-05, + "loss": 4.0595, + "step": 1114 + }, + { + "epoch": 0.14, + "learning_rate": 4.835427564451875e-05, + "loss": 4.0668, + "step": 1115 + }, + { + "epoch": 0.14, + "learning_rate": 4.835057494172626e-05, + "loss": 3.9321, + "step": 1116 + }, + { + "epoch": 0.14, + "learning_rate": 4.834687022469923e-05, + "loss": 4.0001, + "step": 1117 + }, + { + "epoch": 0.14, + "learning_rate": 4.834316149407454e-05, + "loss": 3.9096, + "step": 1118 + }, + { + "epoch": 0.14, + "learning_rate": 4.8339448750489777e-05, + "loss": 4.0542, + "step": 1119 + }, + { + "epoch": 0.14, + "learning_rate": 4.83357319945832e-05, + "loss": 4.1732, + "step": 1120 + }, + { + "epoch": 0.14, + "learning_rate": 4.8332011226993765e-05, + "loss": 4.1136, + "step": 1121 + }, + { + "epoch": 0.14, + "learning_rate": 4.8328286448361106e-05, + "loss": 4.0715, + "step": 1122 + }, + { + "epoch": 0.14, + "learning_rate": 4.832455765932557e-05, + "loss": 4.1302, + "step": 1123 + }, + { + "epoch": 0.14, + "learning_rate": 4.8320824860528166e-05, + "loss": 4.0662, + "step": 1124 + }, + { + "epoch": 0.14, + "learning_rate": 4.831708805261062e-05, + "loss": 4.1053, + "step": 1125 + }, + { + "epoch": 0.14, + "learning_rate": 4.831334723621531e-05, + "loss": 4.0245, + "step": 1126 + }, + { + "epoch": 0.14, + "learning_rate": 4.830960241198534e-05, + "loss": 4.0148, + "step": 1127 + }, + { + "epoch": 0.14, + "learning_rate": 4.8305853580564486e-05, + "loss": 4.1434, + "step": 1128 + }, + { + "epoch": 0.14, + "learning_rate": 4.830210074259722e-05, + "loss": 4.0176, + "step": 1129 + }, + { + "epoch": 0.14, + "learning_rate": 4.82983438987287e-05, + "loss": 4.1127, + "step": 1130 + }, + { + "epoch": 0.14, + "learning_rate": 4.829458304960476e-05, + "loss": 4.1091, + "step": 1131 + }, + { + "epoch": 0.14, + "learning_rate": 4.829081819587194e-05, + "loss": 4.025, + "step": 1132 + }, + { + "epoch": 0.15, + "learning_rate": 4.8287049338177465e-05, + "loss": 4.0188, + "step": 1133 + }, + { + "epoch": 0.15, + "learning_rate": 4.828327647716924e-05, + "loss": 4.0746, + "step": 1134 + }, + { + "epoch": 0.15, + "learning_rate": 4.827949961349587e-05, + "loss": 4.1975, + "step": 1135 + }, + { + "epoch": 0.15, + "learning_rate": 4.8275718747806634e-05, + "loss": 4.0472, + "step": 1136 + }, + { + "epoch": 0.15, + "learning_rate": 4.827193388075151e-05, + "loss": 4.0095, + "step": 1137 + }, + { + "epoch": 0.15, + "learning_rate": 4.8268145012981155e-05, + "loss": 4.0434, + "step": 1138 + }, + { + "epoch": 0.15, + "learning_rate": 4.826435214514693e-05, + "loss": 3.9671, + "step": 1139 + }, + { + "epoch": 0.15, + "learning_rate": 4.826055527790087e-05, + "loss": 4.0737, + "step": 1140 + }, + { + "epoch": 0.15, + "learning_rate": 4.82567544118957e-05, + "loss": 3.9762, + "step": 1141 + }, + { + "epoch": 0.15, + "learning_rate": 4.825294954778482e-05, + "loss": 4.2451, + "step": 1142 + }, + { + "epoch": 0.15, + "learning_rate": 4.824914068622235e-05, + "loss": 3.9805, + "step": 1143 + }, + { + "epoch": 0.15, + "learning_rate": 4.824532782786307e-05, + "loss": 4.1891, + "step": 1144 + }, + { + "epoch": 0.15, + "learning_rate": 4.8241510973362446e-05, + "loss": 4.1127, + "step": 1145 + }, + { + "epoch": 0.15, + "learning_rate": 4.823769012337666e-05, + "loss": 4.1046, + "step": 1146 + }, + { + "epoch": 0.15, + "learning_rate": 4.8233865278562536e-05, + "loss": 3.9583, + "step": 1147 + }, + { + "epoch": 0.15, + "learning_rate": 4.823003643957762e-05, + "loss": 4.048, + "step": 1148 + }, + { + "epoch": 0.15, + "learning_rate": 4.8226203607080145e-05, + "loss": 4.1471, + "step": 1149 + }, + { + "epoch": 0.15, + "learning_rate": 4.8222366781729e-05, + "loss": 4.2513, + "step": 1150 + }, + { + "epoch": 0.15, + "learning_rate": 4.821852596418379e-05, + "loss": 4.0903, + "step": 1151 + }, + { + "epoch": 0.15, + "learning_rate": 4.821468115510479e-05, + "loss": 4.1935, + "step": 1152 + }, + { + "epoch": 0.15, + "learning_rate": 4.8210832355152977e-05, + "loss": 4.0171, + "step": 1153 + }, + { + "epoch": 0.15, + "learning_rate": 4.820697956499e-05, + "loss": 4.1151, + "step": 1154 + }, + { + "epoch": 0.15, + "learning_rate": 4.82031227852782e-05, + "loss": 4.0403, + "step": 1155 + }, + { + "epoch": 0.15, + "learning_rate": 4.819926201668059e-05, + "loss": 4.085, + "step": 1156 + }, + { + "epoch": 0.15, + "learning_rate": 4.81953972598609e-05, + "loss": 4.0434, + "step": 1157 + }, + { + "epoch": 0.15, + "learning_rate": 4.819152851548351e-05, + "loss": 4.135, + "step": 1158 + }, + { + "epoch": 0.15, + "learning_rate": 4.818765578421352e-05, + "loss": 4.0254, + "step": 1159 + }, + { + "epoch": 0.15, + "learning_rate": 4.818377906671667e-05, + "loss": 4.0996, + "step": 1160 + }, + { + "epoch": 0.15, + "learning_rate": 4.817989836365944e-05, + "loss": 4.072, + "step": 1161 + }, + { + "epoch": 0.15, + "learning_rate": 4.8176013675708956e-05, + "loss": 4.0051, + "step": 1162 + }, + { + "epoch": 0.15, + "learning_rate": 4.8172125003533036e-05, + "loss": 4.0849, + "step": 1163 + }, + { + "epoch": 0.15, + "learning_rate": 4.81682323478002e-05, + "loss": 3.9345, + "step": 1164 + }, + { + "epoch": 0.15, + "learning_rate": 4.8164335709179634e-05, + "loss": 3.9998, + "step": 1165 + }, + { + "epoch": 0.15, + "learning_rate": 4.81604350883412e-05, + "loss": 3.9974, + "step": 1166 + }, + { + "epoch": 0.15, + "learning_rate": 4.8156530485955495e-05, + "loss": 3.9742, + "step": 1167 + }, + { + "epoch": 0.15, + "learning_rate": 4.815262190269374e-05, + "loss": 3.9967, + "step": 1168 + }, + { + "epoch": 0.15, + "learning_rate": 4.814870933922787e-05, + "loss": 4.0597, + "step": 1169 + }, + { + "epoch": 0.15, + "learning_rate": 4.8144792796230505e-05, + "loss": 3.9901, + "step": 1170 + }, + { + "epoch": 0.15, + "learning_rate": 4.814087227437494e-05, + "loss": 4.0201, + "step": 1171 + }, + { + "epoch": 0.15, + "learning_rate": 4.813694777433516e-05, + "loss": 4.0457, + "step": 1172 + }, + { + "epoch": 0.15, + "learning_rate": 4.813301929678582e-05, + "loss": 4.2631, + "step": 1173 + }, + { + "epoch": 0.15, + "learning_rate": 4.8129086842402294e-05, + "loss": 4.0268, + "step": 1174 + }, + { + "epoch": 0.15, + "learning_rate": 4.8125150411860604e-05, + "loss": 4.0646, + "step": 1175 + }, + { + "epoch": 0.15, + "learning_rate": 4.812121000583746e-05, + "loss": 4.0948, + "step": 1176 + }, + { + "epoch": 0.15, + "learning_rate": 4.811726562501028e-05, + "loss": 3.9047, + "step": 1177 + }, + { + "epoch": 0.15, + "learning_rate": 4.811331727005714e-05, + "loss": 4.1844, + "step": 1178 + }, + { + "epoch": 0.15, + "learning_rate": 4.810936494165681e-05, + "loss": 4.1508, + "step": 1179 + }, + { + "epoch": 0.15, + "learning_rate": 4.810540864048874e-05, + "loss": 3.9145, + "step": 1180 + }, + { + "epoch": 0.15, + "learning_rate": 4.810144836723306e-05, + "loss": 3.97, + "step": 1181 + }, + { + "epoch": 0.15, + "learning_rate": 4.809748412257059e-05, + "loss": 3.952, + "step": 1182 + }, + { + "epoch": 0.15, + "learning_rate": 4.809351590718283e-05, + "loss": 4.1461, + "step": 1183 + }, + { + "epoch": 0.15, + "learning_rate": 4.808954372175196e-05, + "loss": 4.0001, + "step": 1184 + }, + { + "epoch": 0.15, + "learning_rate": 4.8085567566960855e-05, + "loss": 4.1903, + "step": 1185 + }, + { + "epoch": 0.15, + "learning_rate": 4.808158744349305e-05, + "loss": 4.07, + "step": 1186 + }, + { + "epoch": 0.15, + "learning_rate": 4.807760335203277e-05, + "loss": 3.9429, + "step": 1187 + }, + { + "epoch": 0.15, + "learning_rate": 4.807361529326495e-05, + "loss": 4.023, + "step": 1188 + }, + { + "epoch": 0.15, + "learning_rate": 4.806962326787517e-05, + "loss": 4.0205, + "step": 1189 + }, + { + "epoch": 0.15, + "learning_rate": 4.8065627276549694e-05, + "loss": 3.9289, + "step": 1190 + }, + { + "epoch": 0.15, + "learning_rate": 4.806162731997549e-05, + "loss": 4.0192, + "step": 1191 + }, + { + "epoch": 0.15, + "learning_rate": 4.80576233988402e-05, + "loss": 4.1088, + "step": 1192 + }, + { + "epoch": 0.15, + "learning_rate": 4.805361551383214e-05, + "loss": 3.9649, + "step": 1193 + }, + { + "epoch": 0.15, + "learning_rate": 4.8049603665640316e-05, + "loss": 3.9297, + "step": 1194 + }, + { + "epoch": 0.15, + "learning_rate": 4.8045587854954403e-05, + "loss": 4.0632, + "step": 1195 + }, + { + "epoch": 0.15, + "learning_rate": 4.804156808246477e-05, + "loss": 3.9831, + "step": 1196 + }, + { + "epoch": 0.15, + "learning_rate": 4.8037544348862475e-05, + "loss": 3.8748, + "step": 1197 + }, + { + "epoch": 0.15, + "learning_rate": 4.803351665483922e-05, + "loss": 4.0411, + "step": 1198 + }, + { + "epoch": 0.15, + "learning_rate": 4.8029485001087425e-05, + "loss": 3.9022, + "step": 1199 + }, + { + "epoch": 0.15, + "learning_rate": 4.802544938830018e-05, + "loss": 4.1237, + "step": 1200 + }, + { + "epoch": 0.15, + "learning_rate": 4.8021409817171247e-05, + "loss": 4.1939, + "step": 1201 + }, + { + "epoch": 0.15, + "learning_rate": 4.801736628839509e-05, + "loss": 4.0812, + "step": 1202 + }, + { + "epoch": 0.15, + "learning_rate": 4.801331880266682e-05, + "loss": 3.985, + "step": 1203 + }, + { + "epoch": 0.15, + "learning_rate": 4.800926736068225e-05, + "loss": 4.1056, + "step": 1204 + }, + { + "epoch": 0.15, + "learning_rate": 4.8005211963137884e-05, + "loss": 3.8845, + "step": 1205 + }, + { + "epoch": 0.15, + "learning_rate": 4.800115261073088e-05, + "loss": 4.0056, + "step": 1206 + }, + { + "epoch": 0.15, + "learning_rate": 4.799708930415909e-05, + "loss": 4.0684, + "step": 1207 + }, + { + "epoch": 0.15, + "learning_rate": 4.799302204412104e-05, + "loss": 4.0636, + "step": 1208 + }, + { + "epoch": 0.15, + "learning_rate": 4.798895083131595e-05, + "loss": 4.0176, + "step": 1209 + }, + { + "epoch": 0.15, + "learning_rate": 4.7984875666443694e-05, + "loss": 4.1736, + "step": 1210 + }, + { + "epoch": 0.16, + "learning_rate": 4.798079655020484e-05, + "loss": 3.9407, + "step": 1211 + }, + { + "epoch": 0.16, + "learning_rate": 4.797671348330066e-05, + "loss": 4.1174, + "step": 1212 + }, + { + "epoch": 0.16, + "learning_rate": 4.797262646643305e-05, + "loss": 4.1744, + "step": 1213 + }, + { + "epoch": 0.16, + "learning_rate": 4.7968535500304634e-05, + "loss": 3.9782, + "step": 1214 + }, + { + "epoch": 0.16, + "learning_rate": 4.79644405856187e-05, + "loss": 4.0275, + "step": 1215 + }, + { + "epoch": 0.16, + "learning_rate": 4.796034172307919e-05, + "loss": 4.0006, + "step": 1216 + }, + { + "epoch": 0.16, + "learning_rate": 4.795623891339076e-05, + "loss": 4.0236, + "step": 1217 + }, + { + "epoch": 0.16, + "learning_rate": 4.795213215725873e-05, + "loss": 4.0362, + "step": 1218 + }, + { + "epoch": 0.16, + "learning_rate": 4.7948021455389103e-05, + "loss": 4.0044, + "step": 1219 + }, + { + "epoch": 0.16, + "learning_rate": 4.794390680848855e-05, + "loss": 3.9515, + "step": 1220 + }, + { + "epoch": 0.16, + "learning_rate": 4.7939788217264424e-05, + "loss": 4.1241, + "step": 1221 + }, + { + "epoch": 0.16, + "learning_rate": 4.7935665682424766e-05, + "loss": 4.063, + "step": 1222 + }, + { + "epoch": 0.16, + "learning_rate": 4.793153920467829e-05, + "loss": 3.9998, + "step": 1223 + }, + { + "epoch": 0.16, + "learning_rate": 4.7927408784734365e-05, + "loss": 4.1704, + "step": 1224 + }, + { + "epoch": 0.16, + "learning_rate": 4.792327442330309e-05, + "loss": 3.8759, + "step": 1225 + }, + { + "epoch": 0.16, + "learning_rate": 4.7919136121095176e-05, + "loss": 3.9604, + "step": 1226 + }, + { + "epoch": 0.16, + "learning_rate": 4.7914993878822065e-05, + "loss": 4.1501, + "step": 1227 + }, + { + "epoch": 0.16, + "learning_rate": 4.791084769719586e-05, + "loss": 3.9086, + "step": 1228 + }, + { + "epoch": 0.16, + "learning_rate": 4.7906697576929324e-05, + "loss": 4.0739, + "step": 1229 + }, + { + "epoch": 0.16, + "learning_rate": 4.790254351873592e-05, + "loss": 4.0799, + "step": 1230 + }, + { + "epoch": 0.16, + "learning_rate": 4.789838552332978e-05, + "loss": 4.0938, + "step": 1231 + }, + { + "epoch": 0.16, + "learning_rate": 4.78942235914257e-05, + "loss": 3.9572, + "step": 1232 + }, + { + "epoch": 0.16, + "learning_rate": 4.789005772373918e-05, + "loss": 4.0316, + "step": 1233 + }, + { + "epoch": 0.16, + "learning_rate": 4.788588792098637e-05, + "loss": 4.0154, + "step": 1234 + }, + { + "epoch": 0.16, + "learning_rate": 4.788171418388411e-05, + "loss": 4.1961, + "step": 1235 + }, + { + "epoch": 0.16, + "learning_rate": 4.787753651314991e-05, + "loss": 4.0985, + "step": 1236 + }, + { + "epoch": 0.16, + "learning_rate": 4.787335490950197e-05, + "loss": 3.9143, + "step": 1237 + }, + { + "epoch": 0.16, + "learning_rate": 4.7869169373659146e-05, + "loss": 3.901, + "step": 1238 + }, + { + "epoch": 0.16, + "learning_rate": 4.786497990634099e-05, + "loss": 4.0508, + "step": 1239 + }, + { + "epoch": 0.16, + "learning_rate": 4.7860786508267706e-05, + "loss": 4.1498, + "step": 1240 + }, + { + "epoch": 0.16, + "learning_rate": 4.78565891801602e-05, + "loss": 3.9707, + "step": 1241 + }, + { + "epoch": 0.16, + "learning_rate": 4.785238792274004e-05, + "loss": 3.9363, + "step": 1242 + }, + { + "epoch": 0.16, + "learning_rate": 4.784818273672947e-05, + "loss": 4.0024, + "step": 1243 + }, + { + "epoch": 0.16, + "learning_rate": 4.7843973622851404e-05, + "loss": 4.028, + "step": 1244 + }, + { + "epoch": 0.16, + "learning_rate": 4.7839760581829445e-05, + "loss": 4.0089, + "step": 1245 + }, + { + "epoch": 0.16, + "learning_rate": 4.783554361438786e-05, + "loss": 4.175, + "step": 1246 + }, + { + "epoch": 0.16, + "learning_rate": 4.7831322721251595e-05, + "loss": 4.0708, + "step": 1247 + }, + { + "epoch": 0.16, + "learning_rate": 4.7827097903146264e-05, + "loss": 4.027, + "step": 1248 + }, + { + "epoch": 0.16, + "learning_rate": 4.782286916079818e-05, + "loss": 4.0708, + "step": 1249 + }, + { + "epoch": 0.16, + "learning_rate": 4.78186364949343e-05, + "loss": 4.0963, + "step": 1250 + }, + { + "epoch": 0.16, + "learning_rate": 4.781439990628227e-05, + "loss": 4.0871, + "step": 1251 + }, + { + "epoch": 0.16, + "learning_rate": 4.781015939557041e-05, + "loss": 4.0646, + "step": 1252 + }, + { + "epoch": 0.16, + "learning_rate": 4.780591496352771e-05, + "loss": 3.9342, + "step": 1253 + }, + { + "epoch": 0.16, + "learning_rate": 4.7801666610883835e-05, + "loss": 3.7833, + "step": 1254 + }, + { + "epoch": 0.16, + "learning_rate": 4.7797414338369126e-05, + "loss": 4.094, + "step": 1255 + }, + { + "epoch": 0.16, + "learning_rate": 4.779315814671461e-05, + "loss": 4.0519, + "step": 1256 + }, + { + "epoch": 0.16, + "learning_rate": 4.778889803665197e-05, + "loss": 4.124, + "step": 1257 + }, + { + "epoch": 0.16, + "learning_rate": 4.778463400891357e-05, + "loss": 4.1393, + "step": 1258 + }, + { + "epoch": 0.16, + "learning_rate": 4.778036606423243e-05, + "loss": 3.9425, + "step": 1259 + }, + { + "epoch": 0.16, + "learning_rate": 4.777609420334227e-05, + "loss": 4.0019, + "step": 1260 + }, + { + "epoch": 0.16, + "learning_rate": 4.7771818426977475e-05, + "loss": 4.0004, + "step": 1261 + }, + { + "epoch": 0.16, + "learning_rate": 4.776753873587311e-05, + "loss": 4.0753, + "step": 1262 + }, + { + "epoch": 0.16, + "learning_rate": 4.7763255130764886e-05, + "loss": 4.0872, + "step": 1263 + }, + { + "epoch": 0.16, + "learning_rate": 4.7758967612389206e-05, + "loss": 4.0457, + "step": 1264 + }, + { + "epoch": 0.16, + "learning_rate": 4.775467618148315e-05, + "loss": 4.2278, + "step": 1265 + }, + { + "epoch": 0.16, + "learning_rate": 4.775038083878447e-05, + "loss": 3.9987, + "step": 1266 + }, + { + "epoch": 0.16, + "learning_rate": 4.7746081585031564e-05, + "loss": 4.1098, + "step": 1267 + }, + { + "epoch": 0.16, + "learning_rate": 4.7741778420963554e-05, + "loss": 4.0789, + "step": 1268 + }, + { + "epoch": 0.16, + "learning_rate": 4.7737471347320184e-05, + "loss": 4.268, + "step": 1269 + }, + { + "epoch": 0.16, + "learning_rate": 4.773316036484189e-05, + "loss": 4.1135, + "step": 1270 + }, + { + "epoch": 0.16, + "learning_rate": 4.772884547426979e-05, + "loss": 4.1592, + "step": 1271 + }, + { + "epoch": 0.16, + "learning_rate": 4.772452667634565e-05, + "loss": 4.013, + "step": 1272 + }, + { + "epoch": 0.16, + "learning_rate": 4.772020397181194e-05, + "loss": 4.1412, + "step": 1273 + }, + { + "epoch": 0.16, + "learning_rate": 4.771587736141176e-05, + "loss": 4.1883, + "step": 1274 + }, + { + "epoch": 0.16, + "learning_rate": 4.771154684588892e-05, + "loss": 4.1356, + "step": 1275 + }, + { + "epoch": 0.16, + "learning_rate": 4.770721242598789e-05, + "loss": 4.0821, + "step": 1276 + }, + { + "epoch": 0.16, + "learning_rate": 4.770287410245379e-05, + "loss": 3.9996, + "step": 1277 + }, + { + "epoch": 0.16, + "learning_rate": 4.769853187603244e-05, + "loss": 4.1068, + "step": 1278 + }, + { + "epoch": 0.16, + "learning_rate": 4.7694185747470323e-05, + "loss": 4.0772, + "step": 1279 + }, + { + "epoch": 0.16, + "learning_rate": 4.768983571751458e-05, + "loss": 4.0451, + "step": 1280 + }, + { + "epoch": 0.16, + "learning_rate": 4.768548178691302e-05, + "loss": 4.1594, + "step": 1281 + }, + { + "epoch": 0.16, + "learning_rate": 4.7681123956414164e-05, + "loss": 4.1137, + "step": 1282 + }, + { + "epoch": 0.16, + "learning_rate": 4.767676222676715e-05, + "loss": 4.2058, + "step": 1283 + }, + { + "epoch": 0.16, + "learning_rate": 4.767239659872183e-05, + "loss": 4.1634, + "step": 1284 + }, + { + "epoch": 0.16, + "learning_rate": 4.766802707302868e-05, + "loss": 4.1254, + "step": 1285 + }, + { + "epoch": 0.16, + "learning_rate": 4.766365365043889e-05, + "loss": 4.078, + "step": 1286 + }, + { + "epoch": 0.16, + "learning_rate": 4.7659276331704296e-05, + "loss": 3.898, + "step": 1287 + }, + { + "epoch": 0.16, + "learning_rate": 4.765489511757741e-05, + "loss": 4.0729, + "step": 1288 + }, + { + "epoch": 0.16, + "learning_rate": 4.765051000881142e-05, + "loss": 4.188, + "step": 1289 + }, + { + "epoch": 0.17, + "learning_rate": 4.7646121006160174e-05, + "loss": 4.1592, + "step": 1290 + }, + { + "epoch": 0.17, + "learning_rate": 4.764172811037818e-05, + "loss": 4.108, + "step": 1291 + }, + { + "epoch": 0.17, + "learning_rate": 4.7637331322220654e-05, + "loss": 3.9873, + "step": 1292 + }, + { + "epoch": 0.17, + "learning_rate": 4.763293064244343e-05, + "loss": 4.1707, + "step": 1293 + }, + { + "epoch": 0.17, + "learning_rate": 4.762852607180305e-05, + "loss": 4.1948, + "step": 1294 + }, + { + "epoch": 0.17, + "learning_rate": 4.7624117611056694e-05, + "loss": 4.0804, + "step": 1295 + }, + { + "epoch": 0.17, + "learning_rate": 4.7619705260962246e-05, + "loss": 4.1807, + "step": 1296 + }, + { + "epoch": 0.17, + "learning_rate": 4.761528902227824e-05, + "loss": 4.0972, + "step": 1297 + }, + { + "epoch": 0.17, + "learning_rate": 4.7610868895763865e-05, + "loss": 4.0126, + "step": 1298 + }, + { + "epoch": 0.17, + "learning_rate": 4.7606444882179e-05, + "loss": 4.1935, + "step": 1299 + }, + { + "epoch": 0.17, + "learning_rate": 4.760201698228419e-05, + "loss": 3.9808, + "step": 1300 + }, + { + "epoch": 0.17, + "learning_rate": 4.759758519684063e-05, + "loss": 4.1673, + "step": 1301 + }, + { + "epoch": 0.17, + "learning_rate": 4.7593149526610206e-05, + "loss": 4.0998, + "step": 1302 + }, + { + "epoch": 0.17, + "learning_rate": 4.758870997235545e-05, + "loss": 4.1624, + "step": 1303 + }, + { + "epoch": 0.17, + "learning_rate": 4.758426653483958e-05, + "loss": 4.1307, + "step": 1304 + }, + { + "epoch": 0.17, + "learning_rate": 4.757981921482647e-05, + "loss": 3.9985, + "step": 1305 + }, + { + "epoch": 0.17, + "learning_rate": 4.757536801308067e-05, + "loss": 3.9653, + "step": 1306 + }, + { + "epoch": 0.17, + "learning_rate": 4.75709129303674e-05, + "loss": 4.0669, + "step": 1307 + }, + { + "epoch": 0.17, + "learning_rate": 4.756645396745253e-05, + "loss": 3.9985, + "step": 1308 + }, + { + "epoch": 0.17, + "learning_rate": 4.756199112510261e-05, + "loss": 3.9888, + "step": 1309 + }, + { + "epoch": 0.17, + "learning_rate": 4.755752440408485e-05, + "loss": 4.0017, + "step": 1310 + }, + { + "epoch": 0.17, + "learning_rate": 4.755305380516713e-05, + "loss": 4.0017, + "step": 1311 + }, + { + "epoch": 0.17, + "learning_rate": 4.754857932911802e-05, + "loss": 4.0483, + "step": 1312 + }, + { + "epoch": 0.17, + "learning_rate": 4.754410097670671e-05, + "loss": 4.0578, + "step": 1313 + }, + { + "epoch": 0.17, + "learning_rate": 4.753961874870309e-05, + "loss": 3.9595, + "step": 1314 + }, + { + "epoch": 0.17, + "learning_rate": 4.75351326458777e-05, + "loss": 3.9612, + "step": 1315 + }, + { + "epoch": 0.17, + "learning_rate": 4.753064266900177e-05, + "loss": 3.9424, + "step": 1316 + }, + { + "epoch": 0.17, + "learning_rate": 4.7526148818847164e-05, + "loss": 3.9841, + "step": 1317 + }, + { + "epoch": 0.17, + "learning_rate": 4.752165109618642e-05, + "loss": 4.1655, + "step": 1318 + }, + { + "epoch": 0.17, + "learning_rate": 4.751714950179277e-05, + "loss": 4.0922, + "step": 1319 + }, + { + "epoch": 0.17, + "learning_rate": 4.7512644036440066e-05, + "loss": 4.0278, + "step": 1320 + }, + { + "epoch": 0.17, + "learning_rate": 4.750813470090287e-05, + "loss": 4.1075, + "step": 1321 + }, + { + "epoch": 0.17, + "learning_rate": 4.750362149595639e-05, + "loss": 3.9163, + "step": 1322 + }, + { + "epoch": 0.17, + "learning_rate": 4.749910442237648e-05, + "loss": 3.9145, + "step": 1323 + }, + { + "epoch": 0.17, + "learning_rate": 4.74945834809397e-05, + "loss": 4.1307, + "step": 1324 + }, + { + "epoch": 0.17, + "learning_rate": 4.749005867242323e-05, + "loss": 4.0874, + "step": 1325 + }, + { + "epoch": 0.17, + "learning_rate": 4.748552999760495e-05, + "loss": 4.0252, + "step": 1326 + }, + { + "epoch": 0.17, + "learning_rate": 4.748099745726339e-05, + "loss": 4.0603, + "step": 1327 + }, + { + "epoch": 0.17, + "learning_rate": 4.747646105217774e-05, + "loss": 4.0421, + "step": 1328 + }, + { + "epoch": 0.17, + "learning_rate": 4.747192078312788e-05, + "loss": 4.1571, + "step": 1329 + }, + { + "epoch": 0.17, + "learning_rate": 4.74673766508943e-05, + "loss": 4.172, + "step": 1330 + }, + { + "epoch": 0.17, + "learning_rate": 4.746282865625822e-05, + "loss": 4.2277, + "step": 1331 + }, + { + "epoch": 0.17, + "learning_rate": 4.745827680000149e-05, + "loss": 4.1589, + "step": 1332 + }, + { + "epoch": 0.17, + "learning_rate": 4.745372108290661e-05, + "loss": 4.1409, + "step": 1333 + }, + { + "epoch": 0.17, + "learning_rate": 4.7449161505756766e-05, + "loss": 4.0248, + "step": 1334 + }, + { + "epoch": 0.17, + "learning_rate": 4.744459806933581e-05, + "loss": 3.9145, + "step": 1335 + }, + { + "epoch": 0.17, + "learning_rate": 4.744003077442825e-05, + "loss": 4.0391, + "step": 1336 + }, + { + "epoch": 0.17, + "learning_rate": 4.743545962181926e-05, + "loss": 4.1184, + "step": 1337 + }, + { + "epoch": 0.17, + "learning_rate": 4.743088461229465e-05, + "loss": 4.0451, + "step": 1338 + }, + { + "epoch": 0.17, + "learning_rate": 4.742630574664094e-05, + "loss": 3.9427, + "step": 1339 + }, + { + "epoch": 0.17, + "learning_rate": 4.742172302564528e-05, + "loss": 4.0403, + "step": 1340 + }, + { + "epoch": 0.17, + "learning_rate": 4.741713645009551e-05, + "loss": 4.1325, + "step": 1341 + }, + { + "epoch": 0.17, + "learning_rate": 4.741254602078009e-05, + "loss": 4.0115, + "step": 1342 + }, + { + "epoch": 0.17, + "learning_rate": 4.7407951738488186e-05, + "loss": 4.0774, + "step": 1343 + }, + { + "epoch": 0.17, + "learning_rate": 4.7403353604009605e-05, + "loss": 3.9336, + "step": 1344 + }, + { + "epoch": 0.17, + "learning_rate": 4.739875161813481e-05, + "loss": 4.1267, + "step": 1345 + }, + { + "epoch": 0.17, + "learning_rate": 4.739414578165495e-05, + "loss": 4.1113, + "step": 1346 + }, + { + "epoch": 0.17, + "learning_rate": 4.738953609536181e-05, + "loss": 4.2074, + "step": 1347 + }, + { + "epoch": 0.17, + "learning_rate": 4.738492256004786e-05, + "loss": 4.06, + "step": 1348 + }, + { + "epoch": 0.17, + "learning_rate": 4.738030517650621e-05, + "loss": 3.9866, + "step": 1349 + }, + { + "epoch": 0.17, + "learning_rate": 4.737568394553064e-05, + "loss": 4.1827, + "step": 1350 + }, + { + "epoch": 0.17, + "learning_rate": 4.7371058867915606e-05, + "loss": 3.9805, + "step": 1351 + }, + { + "epoch": 0.17, + "learning_rate": 4.7366429944456204e-05, + "loss": 4.2215, + "step": 1352 + }, + { + "epoch": 0.17, + "learning_rate": 4.7361797175948194e-05, + "loss": 4.0552, + "step": 1353 + }, + { + "epoch": 0.17, + "learning_rate": 4.735716056318802e-05, + "loss": 3.9833, + "step": 1354 + }, + { + "epoch": 0.17, + "learning_rate": 4.735252010697275e-05, + "loss": 4.1341, + "step": 1355 + }, + { + "epoch": 0.17, + "learning_rate": 4.734787580810015e-05, + "loss": 4.1506, + "step": 1356 + }, + { + "epoch": 0.17, + "learning_rate": 4.7343227667368604e-05, + "loss": 4.1443, + "step": 1357 + }, + { + "epoch": 0.17, + "learning_rate": 4.733857568557721e-05, + "loss": 4.2332, + "step": 1358 + }, + { + "epoch": 0.17, + "learning_rate": 4.7333919863525685e-05, + "loss": 4.0756, + "step": 1359 + }, + { + "epoch": 0.17, + "learning_rate": 4.7329260202014415e-05, + "loss": 4.1884, + "step": 1360 + }, + { + "epoch": 0.17, + "learning_rate": 4.732459670184445e-05, + "loss": 4.1602, + "step": 1361 + }, + { + "epoch": 0.17, + "learning_rate": 4.7319929363817503e-05, + "loss": 4.1283, + "step": 1362 + }, + { + "epoch": 0.17, + "learning_rate": 4.731525818873596e-05, + "loss": 4.1386, + "step": 1363 + }, + { + "epoch": 0.17, + "learning_rate": 4.731058317740281e-05, + "loss": 4.0244, + "step": 1364 + }, + { + "epoch": 0.17, + "learning_rate": 4.730590433062178e-05, + "loss": 3.9934, + "step": 1365 + }, + { + "epoch": 0.17, + "learning_rate": 4.7301221649197206e-05, + "loss": 4.233, + "step": 1366 + }, + { + "epoch": 0.17, + "learning_rate": 4.729653513393408e-05, + "loss": 4.0487, + "step": 1367 + }, + { + "epoch": 0.18, + "learning_rate": 4.729184478563808e-05, + "loss": 4.3329, + "step": 1368 + }, + { + "epoch": 0.18, + "learning_rate": 4.728715060511555e-05, + "loss": 4.0642, + "step": 1369 + }, + { + "epoch": 0.18, + "learning_rate": 4.728245259317344e-05, + "loss": 4.0395, + "step": 1370 + }, + { + "epoch": 0.18, + "learning_rate": 4.7277750750619415e-05, + "loss": 3.9785, + "step": 1371 + }, + { + "epoch": 0.18, + "learning_rate": 4.727304507826177e-05, + "loss": 4.1384, + "step": 1372 + }, + { + "epoch": 0.18, + "learning_rate": 4.726833557690946e-05, + "loss": 4.1361, + "step": 1373 + }, + { + "epoch": 0.18, + "learning_rate": 4.7263622247372116e-05, + "loss": 4.1892, + "step": 1374 + }, + { + "epoch": 0.18, + "learning_rate": 4.725890509046e-05, + "loss": 4.1114, + "step": 1375 + }, + { + "epoch": 0.18, + "learning_rate": 4.725418410698405e-05, + "loss": 4.091, + "step": 1376 + }, + { + "epoch": 0.18, + "learning_rate": 4.724945929775586e-05, + "loss": 4.1434, + "step": 1377 + }, + { + "epoch": 0.18, + "learning_rate": 4.724473066358768e-05, + "loss": 4.1029, + "step": 1378 + }, + { + "epoch": 0.18, + "learning_rate": 4.7239998205292424e-05, + "loss": 4.0656, + "step": 1379 + }, + { + "epoch": 0.18, + "learning_rate": 4.723526192368364e-05, + "loss": 4.0707, + "step": 1380 + }, + { + "epoch": 0.18, + "learning_rate": 4.723052181957556e-05, + "loss": 4.1477, + "step": 1381 + }, + { + "epoch": 0.18, + "learning_rate": 4.7225777893783055e-05, + "loss": 4.1218, + "step": 1382 + }, + { + "epoch": 0.18, + "learning_rate": 4.722103014712167e-05, + "loss": 4.2013, + "step": 1383 + }, + { + "epoch": 0.18, + "learning_rate": 4.72162785804076e-05, + "loss": 4.0602, + "step": 1384 + }, + { + "epoch": 0.18, + "learning_rate": 4.721152319445769e-05, + "loss": 4.1538, + "step": 1385 + }, + { + "epoch": 0.18, + "learning_rate": 4.720676399008943e-05, + "loss": 4.1008, + "step": 1386 + }, + { + "epoch": 0.18, + "learning_rate": 4.720200096812101e-05, + "loss": 4.0971, + "step": 1387 + }, + { + "epoch": 0.18, + "learning_rate": 4.7197234129371234e-05, + "loss": 4.0409, + "step": 1388 + }, + { + "epoch": 0.18, + "learning_rate": 4.7192463474659576e-05, + "loss": 4.1783, + "step": 1389 + }, + { + "epoch": 0.18, + "learning_rate": 4.718768900480617e-05, + "loss": 4.1469, + "step": 1390 + }, + { + "epoch": 0.18, + "learning_rate": 4.7182910720631805e-05, + "loss": 4.1618, + "step": 1391 + }, + { + "epoch": 0.18, + "learning_rate": 4.717812862295792e-05, + "loss": 4.0541, + "step": 1392 + }, + { + "epoch": 0.18, + "learning_rate": 4.7173342712606616e-05, + "loss": 4.2008, + "step": 1393 + }, + { + "epoch": 0.18, + "learning_rate": 4.7168552990400636e-05, + "loss": 4.1765, + "step": 1394 + }, + { + "epoch": 0.18, + "learning_rate": 4.7163759457163406e-05, + "loss": 4.1098, + "step": 1395 + }, + { + "epoch": 0.18, + "learning_rate": 4.7158962113718974e-05, + "loss": 4.0349, + "step": 1396 + }, + { + "epoch": 0.18, + "learning_rate": 4.715416096089207e-05, + "loss": 4.0103, + "step": 1397 + }, + { + "epoch": 0.18, + "learning_rate": 4.714935599950806e-05, + "loss": 4.2225, + "step": 1398 + }, + { + "epoch": 0.18, + "learning_rate": 4.7144547230392986e-05, + "loss": 4.1706, + "step": 1399 + }, + { + "epoch": 0.18, + "learning_rate": 4.713973465437351e-05, + "loss": 4.0819, + "step": 1400 + }, + { + "epoch": 0.18, + "learning_rate": 4.713491827227699e-05, + "loss": 4.0742, + "step": 1401 + }, + { + "epoch": 0.18, + "learning_rate": 4.713009808493141e-05, + "loss": 4.204, + "step": 1402 + }, + { + "epoch": 0.18, + "learning_rate": 4.712527409316541e-05, + "loss": 4.2561, + "step": 1403 + }, + { + "epoch": 0.18, + "learning_rate": 4.712044629780829e-05, + "loss": 4.1643, + "step": 1404 + }, + { + "epoch": 0.18, + "learning_rate": 4.711561469969001e-05, + "loss": 4.0572, + "step": 1405 + }, + { + "epoch": 0.18, + "learning_rate": 4.7110779299641184e-05, + "loss": 4.161, + "step": 1406 + }, + { + "epoch": 0.18, + "learning_rate": 4.710594009849306e-05, + "loss": 4.1215, + "step": 1407 + }, + { + "epoch": 0.18, + "learning_rate": 4.7101097097077566e-05, + "loss": 4.1664, + "step": 1408 + }, + { + "epoch": 0.18, + "learning_rate": 4.7096250296227264e-05, + "loss": 4.0005, + "step": 1409 + }, + { + "epoch": 0.18, + "learning_rate": 4.7091399696775366e-05, + "loss": 4.0548, + "step": 1410 + }, + { + "epoch": 0.18, + "learning_rate": 4.7086545299555764e-05, + "loss": 4.2081, + "step": 1411 + }, + { + "epoch": 0.18, + "learning_rate": 4.708168710540297e-05, + "loss": 4.1, + "step": 1412 + }, + { + "epoch": 0.18, + "learning_rate": 4.707682511515217e-05, + "loss": 4.0876, + "step": 1413 + }, + { + "epoch": 0.18, + "learning_rate": 4.7071959329639196e-05, + "loss": 3.9732, + "step": 1414 + }, + { + "epoch": 0.18, + "learning_rate": 4.706708974970053e-05, + "loss": 4.006, + "step": 1415 + }, + { + "epoch": 0.18, + "learning_rate": 4.706221637617332e-05, + "loss": 4.1814, + "step": 1416 + }, + { + "epoch": 0.18, + "learning_rate": 4.705733920989534e-05, + "loss": 4.0528, + "step": 1417 + }, + { + "epoch": 0.18, + "learning_rate": 4.7052458251705045e-05, + "loss": 4.1468, + "step": 1418 + }, + { + "epoch": 0.18, + "learning_rate": 4.704757350244152e-05, + "loss": 4.1594, + "step": 1419 + }, + { + "epoch": 0.18, + "learning_rate": 4.704268496294451e-05, + "loss": 4.1621, + "step": 1420 + }, + { + "epoch": 0.18, + "learning_rate": 4.703779263405442e-05, + "loss": 4.1157, + "step": 1421 + }, + { + "epoch": 0.18, + "learning_rate": 4.703289651661229e-05, + "loss": 4.1452, + "step": 1422 + }, + { + "epoch": 0.18, + "learning_rate": 4.702799661145981e-05, + "loss": 4.1602, + "step": 1423 + }, + { + "epoch": 0.18, + "learning_rate": 4.702309291943936e-05, + "loss": 4.2888, + "step": 1424 + }, + { + "epoch": 0.18, + "learning_rate": 4.701818544139391e-05, + "loss": 4.0846, + "step": 1425 + }, + { + "epoch": 0.18, + "learning_rate": 4.701327417816714e-05, + "loss": 4.0975, + "step": 1426 + }, + { + "epoch": 0.18, + "learning_rate": 4.700835913060333e-05, + "loss": 4.1991, + "step": 1427 + }, + { + "epoch": 0.18, + "learning_rate": 4.700344029954744e-05, + "loss": 4.2078, + "step": 1428 + }, + { + "epoch": 0.18, + "learning_rate": 4.6998517685845085e-05, + "loss": 4.0256, + "step": 1429 + }, + { + "epoch": 0.18, + "learning_rate": 4.699359129034251e-05, + "loss": 4.0318, + "step": 1430 + }, + { + "epoch": 0.18, + "learning_rate": 4.6988661113886615e-05, + "loss": 4.0789, + "step": 1431 + }, + { + "epoch": 0.18, + "learning_rate": 4.698372715732496e-05, + "loss": 4.0656, + "step": 1432 + }, + { + "epoch": 0.18, + "learning_rate": 4.6978789421505754e-05, + "loss": 3.9765, + "step": 1433 + }, + { + "epoch": 0.18, + "learning_rate": 4.697384790727784e-05, + "loss": 4.0346, + "step": 1434 + }, + { + "epoch": 0.18, + "learning_rate": 4.6968902615490734e-05, + "loss": 4.1072, + "step": 1435 + }, + { + "epoch": 0.18, + "learning_rate": 4.696395354699458e-05, + "loss": 3.9705, + "step": 1436 + }, + { + "epoch": 0.18, + "learning_rate": 4.6959000702640185e-05, + "loss": 4.072, + "step": 1437 + }, + { + "epoch": 0.18, + "learning_rate": 4.6954044083279004e-05, + "loss": 3.9793, + "step": 1438 + }, + { + "epoch": 0.18, + "learning_rate": 4.694908368976312e-05, + "loss": 4.1039, + "step": 1439 + }, + { + "epoch": 0.18, + "learning_rate": 4.694411952294531e-05, + "loss": 4.0229, + "step": 1440 + }, + { + "epoch": 0.18, + "learning_rate": 4.6939151583678944e-05, + "loss": 3.9395, + "step": 1441 + }, + { + "epoch": 0.18, + "learning_rate": 4.693417987281807e-05, + "loss": 4.0769, + "step": 1442 + }, + { + "epoch": 0.18, + "learning_rate": 4.6929204391217415e-05, + "loss": 4.0788, + "step": 1443 + }, + { + "epoch": 0.18, + "learning_rate": 4.692422513973229e-05, + "loss": 4.0913, + "step": 1444 + }, + { + "epoch": 0.18, + "learning_rate": 4.69192421192187e-05, + "loss": 3.88, + "step": 1445 + }, + { + "epoch": 0.19, + "learning_rate": 4.691425533053327e-05, + "loss": 4.2431, + "step": 1446 + }, + { + "epoch": 0.19, + "learning_rate": 4.690926477453331e-05, + "loss": 3.9683, + "step": 1447 + }, + { + "epoch": 0.19, + "learning_rate": 4.690427045207673e-05, + "loss": 4.0424, + "step": 1448 + }, + { + "epoch": 0.19, + "learning_rate": 4.689927236402213e-05, + "loss": 3.9912, + "step": 1449 + }, + { + "epoch": 0.19, + "learning_rate": 4.6894270511228735e-05, + "loss": 4.1657, + "step": 1450 + }, + { + "epoch": 0.19, + "learning_rate": 4.688926489455641e-05, + "loss": 4.0662, + "step": 1451 + }, + { + "epoch": 0.19, + "learning_rate": 4.6884255514865695e-05, + "loss": 3.982, + "step": 1452 + }, + { + "epoch": 0.19, + "learning_rate": 4.687924237301774e-05, + "loss": 4.2006, + "step": 1453 + }, + { + "epoch": 0.19, + "learning_rate": 4.687422546987439e-05, + "loss": 4.2075, + "step": 1454 + }, + { + "epoch": 0.19, + "learning_rate": 4.6869204806298095e-05, + "loss": 4.0238, + "step": 1455 + }, + { + "epoch": 0.19, + "learning_rate": 4.6864180383151955e-05, + "loss": 4.1238, + "step": 1456 + }, + { + "epoch": 0.19, + "learning_rate": 4.685915220129974e-05, + "loss": 4.1263, + "step": 1457 + }, + { + "epoch": 0.19, + "learning_rate": 4.6854120261605845e-05, + "loss": 4.1117, + "step": 1458 + }, + { + "epoch": 0.19, + "learning_rate": 4.684908456493533e-05, + "loss": 4.146, + "step": 1459 + }, + { + "epoch": 0.19, + "learning_rate": 4.684404511215387e-05, + "loss": 4.0825, + "step": 1460 + }, + { + "epoch": 0.19, + "learning_rate": 4.683900190412782e-05, + "loss": 4.0694, + "step": 1461 + }, + { + "epoch": 0.19, + "learning_rate": 4.683395494172417e-05, + "loss": 4.1039, + "step": 1462 + }, + { + "epoch": 0.19, + "learning_rate": 4.6828904225810546e-05, + "loss": 4.1458, + "step": 1463 + }, + { + "epoch": 0.19, + "learning_rate": 4.6823849757255225e-05, + "loss": 4.0182, + "step": 1464 + }, + { + "epoch": 0.19, + "learning_rate": 4.681879153692711e-05, + "loss": 4.0921, + "step": 1465 + }, + { + "epoch": 0.19, + "learning_rate": 4.6813729565695793e-05, + "loss": 4.2416, + "step": 1466 + }, + { + "epoch": 0.19, + "learning_rate": 4.680866384443149e-05, + "loss": 4.1776, + "step": 1467 + }, + { + "epoch": 0.19, + "learning_rate": 4.680359437400503e-05, + "loss": 3.9611, + "step": 1468 + }, + { + "epoch": 0.19, + "learning_rate": 4.679852115528793e-05, + "loss": 4.0491, + "step": 1469 + }, + { + "epoch": 0.19, + "learning_rate": 4.679344418915234e-05, + "loss": 4.1304, + "step": 1470 + }, + { + "epoch": 0.19, + "learning_rate": 4.678836347647104e-05, + "loss": 4.1664, + "step": 1471 + }, + { + "epoch": 0.19, + "learning_rate": 4.6783279018117465e-05, + "loss": 4.1671, + "step": 1472 + }, + { + "epoch": 0.19, + "learning_rate": 4.6778190814965694e-05, + "loss": 4.0608, + "step": 1473 + }, + { + "epoch": 0.19, + "learning_rate": 4.677309886789044e-05, + "loss": 4.1944, + "step": 1474 + }, + { + "epoch": 0.19, + "learning_rate": 4.676800317776708e-05, + "loss": 4.101, + "step": 1475 + }, + { + "epoch": 0.19, + "learning_rate": 4.676290374547162e-05, + "loss": 4.0039, + "step": 1476 + }, + { + "epoch": 0.19, + "learning_rate": 4.675780057188071e-05, + "loss": 4.082, + "step": 1477 + }, + { + "epoch": 0.19, + "learning_rate": 4.675269365787164e-05, + "loss": 4.1711, + "step": 1478 + }, + { + "epoch": 0.19, + "learning_rate": 4.674758300432236e-05, + "loss": 4.1924, + "step": 1479 + }, + { + "epoch": 0.19, + "learning_rate": 4.674246861211144e-05, + "loss": 4.1617, + "step": 1480 + }, + { + "epoch": 0.19, + "learning_rate": 4.673735048211809e-05, + "loss": 4.1601, + "step": 1481 + }, + { + "epoch": 0.19, + "learning_rate": 4.6732228615222204e-05, + "loss": 4.164, + "step": 1482 + }, + { + "epoch": 0.19, + "learning_rate": 4.6727103012304275e-05, + "loss": 4.0148, + "step": 1483 + }, + { + "epoch": 0.19, + "learning_rate": 4.672197367424545e-05, + "loss": 4.1076, + "step": 1484 + }, + { + "epoch": 0.19, + "learning_rate": 4.6716840601927534e-05, + "loss": 4.2015, + "step": 1485 + }, + { + "epoch": 0.19, + "learning_rate": 4.6711703796232956e-05, + "loss": 4.1018, + "step": 1486 + }, + { + "epoch": 0.19, + "learning_rate": 4.670656325804479e-05, + "loss": 3.979, + "step": 1487 + }, + { + "epoch": 0.19, + "learning_rate": 4.670141898824676e-05, + "loss": 4.0323, + "step": 1488 + }, + { + "epoch": 0.19, + "learning_rate": 4.669627098772321e-05, + "loss": 4.118, + "step": 1489 + }, + { + "epoch": 0.19, + "learning_rate": 4.669111925735916e-05, + "loss": 4.0458, + "step": 1490 + }, + { + "epoch": 0.19, + "learning_rate": 4.668596379804025e-05, + "loss": 3.9391, + "step": 1491 + }, + { + "epoch": 0.19, + "learning_rate": 4.668080461065275e-05, + "loss": 4.0875, + "step": 1492 + }, + { + "epoch": 0.19, + "learning_rate": 4.6675641696083595e-05, + "loss": 4.1382, + "step": 1493 + }, + { + "epoch": 0.19, + "learning_rate": 4.6670475055220346e-05, + "loss": 4.029, + "step": 1494 + }, + { + "epoch": 0.19, + "learning_rate": 4.666530468895121e-05, + "loss": 4.1011, + "step": 1495 + }, + { + "epoch": 0.19, + "learning_rate": 4.666013059816503e-05, + "loss": 4.093, + "step": 1496 + }, + { + "epoch": 0.19, + "learning_rate": 4.66549527837513e-05, + "loss": 4.0204, + "step": 1497 + }, + { + "epoch": 0.19, + "learning_rate": 4.664977124660014e-05, + "loss": 3.9531, + "step": 1498 + }, + { + "epoch": 0.19, + "learning_rate": 4.664458598760231e-05, + "loss": 3.988, + "step": 1499 + }, + { + "epoch": 0.19, + "learning_rate": 4.663939700764923e-05, + "loss": 4.076, + "step": 1500 + }, + { + "epoch": 0.19, + "learning_rate": 4.663420430763293e-05, + "loss": 3.9654, + "step": 1501 + }, + { + "epoch": 0.19, + "learning_rate": 4.662900788844611e-05, + "loss": 4.0277, + "step": 1502 + }, + { + "epoch": 0.19, + "learning_rate": 4.662380775098209e-05, + "loss": 4.0615, + "step": 1503 + }, + { + "epoch": 0.19, + "learning_rate": 4.661860389613484e-05, + "loss": 4.2347, + "step": 1504 + }, + { + "epoch": 0.19, + "learning_rate": 4.661339632479895e-05, + "loss": 3.9596, + "step": 1505 + }, + { + "epoch": 0.19, + "learning_rate": 4.6608185037869655e-05, + "loss": 4.0182, + "step": 1506 + }, + { + "epoch": 0.19, + "learning_rate": 4.6602970036242865e-05, + "loss": 4.22, + "step": 1507 + }, + { + "epoch": 0.19, + "learning_rate": 4.659775132081507e-05, + "loss": 4.0399, + "step": 1508 + }, + { + "epoch": 0.19, + "learning_rate": 4.6592528892483456e-05, + "loss": 4.0533, + "step": 1509 + }, + { + "epoch": 0.19, + "learning_rate": 4.6587302752145795e-05, + "loss": 4.0506, + "step": 1510 + }, + { + "epoch": 0.19, + "learning_rate": 4.658207290070053e-05, + "loss": 4.0279, + "step": 1511 + }, + { + "epoch": 0.19, + "learning_rate": 4.657683933904673e-05, + "loss": 4.1642, + "step": 1512 + }, + { + "epoch": 0.19, + "learning_rate": 4.657160206808411e-05, + "loss": 3.9905, + "step": 1513 + }, + { + "epoch": 0.19, + "learning_rate": 4.6566361088713015e-05, + "loss": 4.0986, + "step": 1514 + }, + { + "epoch": 0.19, + "learning_rate": 4.656111640183442e-05, + "loss": 3.9812, + "step": 1515 + }, + { + "epoch": 0.19, + "learning_rate": 4.655586800834998e-05, + "loss": 3.973, + "step": 1516 + }, + { + "epoch": 0.19, + "learning_rate": 4.655061590916191e-05, + "loss": 4.0113, + "step": 1517 + }, + { + "epoch": 0.19, + "learning_rate": 4.654536010517314e-05, + "loss": 4.1104, + "step": 1518 + }, + { + "epoch": 0.19, + "learning_rate": 4.654010059728719e-05, + "loss": 4.1229, + "step": 1519 + }, + { + "epoch": 0.19, + "learning_rate": 4.653483738640824e-05, + "loss": 3.9238, + "step": 1520 + }, + { + "epoch": 0.19, + "learning_rate": 4.6529570473441084e-05, + "loss": 4.1604, + "step": 1521 + }, + { + "epoch": 0.19, + "learning_rate": 4.652429985929116e-05, + "loss": 4.1172, + "step": 1522 + }, + { + "epoch": 0.19, + "learning_rate": 4.6519025544864583e-05, + "loss": 4.044, + "step": 1523 + }, + { + "epoch": 0.2, + "learning_rate": 4.651374753106803e-05, + "loss": 4.1416, + "step": 1524 + }, + { + "epoch": 0.2, + "learning_rate": 4.650846581880887e-05, + "loss": 4.0507, + "step": 1525 + }, + { + "epoch": 0.2, + "learning_rate": 4.650318040899509e-05, + "loss": 4.1027, + "step": 1526 + }, + { + "epoch": 0.2, + "learning_rate": 4.64978913025353e-05, + "loss": 4.1506, + "step": 1527 + }, + { + "epoch": 0.2, + "learning_rate": 4.649259850033879e-05, + "loss": 4.0529, + "step": 1528 + }, + { + "epoch": 0.2, + "learning_rate": 4.648730200331542e-05, + "loss": 3.9824, + "step": 1529 + }, + { + "epoch": 0.2, + "learning_rate": 4.648200181237574e-05, + "loss": 3.9314, + "step": 1530 + }, + { + "epoch": 0.2, + "learning_rate": 4.64766979284309e-05, + "loss": 4.1088, + "step": 1531 + }, + { + "epoch": 0.2, + "learning_rate": 4.647139035239272e-05, + "loss": 4.1316, + "step": 1532 + }, + { + "epoch": 0.2, + "learning_rate": 4.646607908517361e-05, + "loss": 4.0843, + "step": 1533 + }, + { + "epoch": 0.2, + "learning_rate": 4.646076412768665e-05, + "loss": 4.2609, + "step": 1534 + }, + { + "epoch": 0.2, + "learning_rate": 4.6455445480845546e-05, + "loss": 4.1475, + "step": 1535 + }, + { + "epoch": 0.2, + "learning_rate": 4.6450123145564625e-05, + "loss": 4.1474, + "step": 1536 + }, + { + "epoch": 0.2, + "learning_rate": 4.644479712275887e-05, + "loss": 4.0762, + "step": 1537 + }, + { + "epoch": 0.2, + "learning_rate": 4.643946741334387e-05, + "loss": 4.0216, + "step": 1538 + }, + { + "epoch": 0.2, + "learning_rate": 4.6434134018235884e-05, + "loss": 4.2339, + "step": 1539 + }, + { + "epoch": 0.2, + "learning_rate": 4.642879693835178e-05, + "loss": 4.0802, + "step": 1540 + }, + { + "epoch": 0.2, + "learning_rate": 4.6423456174609045e-05, + "loss": 4.1569, + "step": 1541 + }, + { + "epoch": 0.2, + "learning_rate": 4.6418111727925836e-05, + "loss": 4.0052, + "step": 1542 + }, + { + "epoch": 0.2, + "learning_rate": 4.6412763599220925e-05, + "loss": 4.2713, + "step": 1543 + }, + { + "epoch": 0.2, + "learning_rate": 4.640741178941371e-05, + "loss": 4.1469, + "step": 1544 + }, + { + "epoch": 0.2, + "learning_rate": 4.6402056299424236e-05, + "loss": 4.0176, + "step": 1545 + }, + { + "epoch": 0.2, + "learning_rate": 4.639669713017317e-05, + "loss": 4.1005, + "step": 1546 + }, + { + "epoch": 0.2, + "learning_rate": 4.639133428258181e-05, + "loss": 4.1991, + "step": 1547 + }, + { + "epoch": 0.2, + "learning_rate": 4.63859677575721e-05, + "loss": 4.026, + "step": 1548 + }, + { + "epoch": 0.2, + "learning_rate": 4.6380597556066606e-05, + "loss": 4.0512, + "step": 1549 + }, + { + "epoch": 0.2, + "learning_rate": 4.637522367898852e-05, + "loss": 4.1964, + "step": 1550 + }, + { + "epoch": 0.2, + "learning_rate": 4.6369846127261696e-05, + "loss": 4.0825, + "step": 1551 + }, + { + "epoch": 0.2, + "learning_rate": 4.636446490181057e-05, + "loss": 4.1068, + "step": 1552 + }, + { + "epoch": 0.2, + "learning_rate": 4.635908000356025e-05, + "loss": 4.191, + "step": 1553 + }, + { + "epoch": 0.2, + "learning_rate": 4.635369143343646e-05, + "loss": 4.1064, + "step": 1554 + }, + { + "epoch": 0.2, + "learning_rate": 4.634829919236557e-05, + "loss": 4.1517, + "step": 1555 + }, + { + "epoch": 0.2, + "learning_rate": 4.634290328127455e-05, + "loss": 4.0486, + "step": 1556 + }, + { + "epoch": 0.2, + "learning_rate": 4.633750370109103e-05, + "loss": 4.1388, + "step": 1557 + }, + { + "epoch": 0.2, + "learning_rate": 4.6332100452743254e-05, + "loss": 4.181, + "step": 1558 + }, + { + "epoch": 0.2, + "learning_rate": 4.632669353716012e-05, + "loss": 3.9751, + "step": 1559 + }, + { + "epoch": 0.2, + "learning_rate": 4.632128295527111e-05, + "loss": 4.06, + "step": 1560 + }, + { + "epoch": 0.2, + "learning_rate": 4.6315868708006395e-05, + "loss": 3.9339, + "step": 1561 + }, + { + "epoch": 0.2, + "learning_rate": 4.6310450796296724e-05, + "loss": 4.0366, + "step": 1562 + }, + { + "epoch": 0.2, + "learning_rate": 4.6305029221073516e-05, + "loss": 4.0394, + "step": 1563 + }, + { + "epoch": 0.2, + "learning_rate": 4.629960398326879e-05, + "loss": 4.1682, + "step": 1564 + }, + { + "epoch": 0.2, + "learning_rate": 4.629417508381522e-05, + "loss": 4.1011, + "step": 1565 + }, + { + "epoch": 0.2, + "learning_rate": 4.6288742523646086e-05, + "loss": 4.0724, + "step": 1566 + }, + { + "epoch": 0.2, + "learning_rate": 4.6283306303695316e-05, + "loss": 4.1323, + "step": 1567 + }, + { + "epoch": 0.2, + "learning_rate": 4.6277866424897456e-05, + "loss": 4.0457, + "step": 1568 + }, + { + "epoch": 0.2, + "learning_rate": 4.627242288818767e-05, + "loss": 4.0061, + "step": 1569 + }, + { + "epoch": 0.2, + "learning_rate": 4.626697569450179e-05, + "loss": 4.0059, + "step": 1570 + }, + { + "epoch": 0.2, + "learning_rate": 4.626152484477624e-05, + "loss": 3.9361, + "step": 1571 + }, + { + "epoch": 0.2, + "learning_rate": 4.6256070339948085e-05, + "loss": 4.2066, + "step": 1572 + }, + { + "epoch": 0.2, + "learning_rate": 4.625061218095501e-05, + "loss": 4.049, + "step": 1573 + }, + { + "epoch": 0.2, + "learning_rate": 4.624515036873535e-05, + "loss": 4.1609, + "step": 1574 + }, + { + "epoch": 0.2, + "learning_rate": 4.623968490422804e-05, + "loss": 4.0815, + "step": 1575 + }, + { + "epoch": 0.2, + "learning_rate": 4.623421578837267e-05, + "loss": 3.9758, + "step": 1576 + }, + { + "epoch": 0.2, + "learning_rate": 4.6228743022109435e-05, + "loss": 4.1253, + "step": 1577 + }, + { + "epoch": 0.2, + "learning_rate": 4.6223266606379166e-05, + "loss": 4.1665, + "step": 1578 + }, + { + "epoch": 0.2, + "learning_rate": 4.621778654212333e-05, + "loss": 4.2103, + "step": 1579 + }, + { + "epoch": 0.2, + "learning_rate": 4.621230283028401e-05, + "loss": 4.1224, + "step": 1580 + }, + { + "epoch": 0.2, + "learning_rate": 4.620681547180392e-05, + "loss": 4.1161, + "step": 1581 + }, + { + "epoch": 0.2, + "learning_rate": 4.6201324467626405e-05, + "loss": 4.1774, + "step": 1582 + }, + { + "epoch": 0.2, + "learning_rate": 4.619582981869542e-05, + "loss": 4.1665, + "step": 1583 + }, + { + "epoch": 0.2, + "learning_rate": 4.619033152595556e-05, + "loss": 4.1107, + "step": 1584 + }, + { + "epoch": 0.2, + "learning_rate": 4.6184829590352065e-05, + "loss": 4.1465, + "step": 1585 + }, + { + "epoch": 0.2, + "learning_rate": 4.617932401283076e-05, + "loss": 4.0342, + "step": 1586 + }, + { + "epoch": 0.2, + "learning_rate": 4.617381479433813e-05, + "loss": 4.0188, + "step": 1587 + }, + { + "epoch": 0.2, + "learning_rate": 4.616830193582127e-05, + "loss": 4.072, + "step": 1588 + }, + { + "epoch": 0.2, + "learning_rate": 4.6162785438227895e-05, + "loss": 4.0001, + "step": 1589 + }, + { + "epoch": 0.2, + "learning_rate": 4.615726530250637e-05, + "loss": 4.1073, + "step": 1590 + }, + { + "epoch": 0.2, + "learning_rate": 4.6151741529605656e-05, + "loss": 4.2312, + "step": 1591 + }, + { + "epoch": 0.2, + "learning_rate": 4.614621412047537e-05, + "loss": 4.2016, + "step": 1592 + }, + { + "epoch": 0.2, + "learning_rate": 4.6140683076065724e-05, + "loss": 4.0194, + "step": 1593 + }, + { + "epoch": 0.2, + "learning_rate": 4.613514839732757e-05, + "loss": 4.1641, + "step": 1594 + }, + { + "epoch": 0.2, + "learning_rate": 4.6129610085212396e-05, + "loss": 4.0328, + "step": 1595 + }, + { + "epoch": 0.2, + "learning_rate": 4.6124068140672284e-05, + "loss": 4.0104, + "step": 1596 + }, + { + "epoch": 0.2, + "learning_rate": 4.6118522564659975e-05, + "loss": 4.1181, + "step": 1597 + }, + { + "epoch": 0.2, + "learning_rate": 4.61129733581288e-05, + "loss": 3.9928, + "step": 1598 + }, + { + "epoch": 0.2, + "learning_rate": 4.6107420522032755e-05, + "loss": 4.1439, + "step": 1599 + }, + { + "epoch": 0.2, + "learning_rate": 4.610186405732641e-05, + "loss": 4.0312, + "step": 1600 + }, + { + "epoch": 0.2, + "learning_rate": 4.6096303964965e-05, + "loss": 3.9958, + "step": 1601 + }, + { + "epoch": 0.21, + "learning_rate": 4.609074024590438e-05, + "loss": 3.9792, + "step": 1602 + }, + { + "epoch": 0.21, + "learning_rate": 4.608517290110101e-05, + "loss": 3.9987, + "step": 1603 + }, + { + "epoch": 0.21, + "learning_rate": 4.607960193151197e-05, + "loss": 4.0431, + "step": 1604 + }, + { + "epoch": 0.21, + "learning_rate": 4.607402733809498e-05, + "loss": 3.9871, + "step": 1605 + }, + { + "epoch": 0.21, + "learning_rate": 4.606844912180839e-05, + "loss": 4.1946, + "step": 1606 + }, + { + "epoch": 0.21, + "learning_rate": 4.606286728361113e-05, + "loss": 4.1454, + "step": 1607 + }, + { + "epoch": 0.21, + "learning_rate": 4.6057281824462824e-05, + "loss": 3.9258, + "step": 1608 + }, + { + "epoch": 0.21, + "learning_rate": 4.6051692745323646e-05, + "loss": 3.9606, + "step": 1609 + }, + { + "epoch": 0.21, + "learning_rate": 4.6046100047154425e-05, + "loss": 4.1145, + "step": 1610 + }, + { + "epoch": 0.21, + "learning_rate": 4.604050373091663e-05, + "loss": 3.9436, + "step": 1611 + }, + { + "epoch": 0.21, + "learning_rate": 4.603490379757232e-05, + "loss": 4.0716, + "step": 1612 + }, + { + "epoch": 0.21, + "learning_rate": 4.602930024808418e-05, + "loss": 3.9762, + "step": 1613 + }, + { + "epoch": 0.21, + "learning_rate": 4.602369308341555e-05, + "loss": 4.0302, + "step": 1614 + }, + { + "epoch": 0.21, + "learning_rate": 4.6018082304530344e-05, + "loss": 4.0459, + "step": 1615 + }, + { + "epoch": 0.21, + "learning_rate": 4.601246791239312e-05, + "loss": 3.9801, + "step": 1616 + }, + { + "epoch": 0.21, + "learning_rate": 4.6006849907969076e-05, + "loss": 4.0329, + "step": 1617 + }, + { + "epoch": 0.21, + "learning_rate": 4.6001228292223994e-05, + "loss": 4.0549, + "step": 1618 + }, + { + "epoch": 0.21, + "learning_rate": 4.59956030661243e-05, + "loss": 3.8949, + "step": 1619 + }, + { + "epoch": 0.21, + "learning_rate": 4.598997423063704e-05, + "loss": 4.0448, + "step": 1620 + }, + { + "epoch": 0.21, + "learning_rate": 4.598434178672988e-05, + "loss": 4.306, + "step": 1621 + }, + { + "epoch": 0.21, + "learning_rate": 4.597870573537109e-05, + "loss": 4.1613, + "step": 1622 + }, + { + "epoch": 0.21, + "learning_rate": 4.597306607752958e-05, + "loss": 4.0405, + "step": 1623 + }, + { + "epoch": 0.21, + "learning_rate": 4.596742281417486e-05, + "loss": 4.085, + "step": 1624 + }, + { + "epoch": 0.21, + "learning_rate": 4.596177594627709e-05, + "loss": 4.0838, + "step": 1625 + }, + { + "epoch": 0.21, + "learning_rate": 4.595612547480703e-05, + "loss": 3.9452, + "step": 1626 + }, + { + "epoch": 0.21, + "learning_rate": 4.595047140073605e-05, + "loss": 4.0773, + "step": 1627 + }, + { + "epoch": 0.21, + "learning_rate": 4.5944813725036164e-05, + "loss": 4.1476, + "step": 1628 + }, + { + "epoch": 0.21, + "learning_rate": 4.593915244867998e-05, + "loss": 4.0069, + "step": 1629 + }, + { + "epoch": 0.21, + "learning_rate": 4.5933487572640745e-05, + "loss": 4.1492, + "step": 1630 + }, + { + "epoch": 0.21, + "learning_rate": 4.592781909789231e-05, + "loss": 4.1132, + "step": 1631 + }, + { + "epoch": 0.21, + "learning_rate": 4.592214702540916e-05, + "loss": 4.1055, + "step": 1632 + }, + { + "epoch": 0.21, + "learning_rate": 4.5916471356166384e-05, + "loss": 4.1009, + "step": 1633 + }, + { + "epoch": 0.21, + "learning_rate": 4.59107920911397e-05, + "loss": 4.089, + "step": 1634 + }, + { + "epoch": 0.21, + "learning_rate": 4.590510923130544e-05, + "loss": 3.8787, + "step": 1635 + }, + { + "epoch": 0.21, + "learning_rate": 4.589942277764054e-05, + "loss": 4.0291, + "step": 1636 + }, + { + "epoch": 0.21, + "learning_rate": 4.5893732731122585e-05, + "loss": 4.0107, + "step": 1637 + }, + { + "epoch": 0.21, + "learning_rate": 4.588803909272975e-05, + "loss": 3.9806, + "step": 1638 + }, + { + "epoch": 0.21, + "learning_rate": 4.588234186344084e-05, + "loss": 4.0329, + "step": 1639 + }, + { + "epoch": 0.21, + "learning_rate": 4.587664104423528e-05, + "loss": 4.0527, + "step": 1640 + }, + { + "epoch": 0.21, + "learning_rate": 4.58709366360931e-05, + "loss": 4.0582, + "step": 1641 + }, + { + "epoch": 0.21, + "learning_rate": 4.586522863999495e-05, + "loss": 4.1687, + "step": 1642 + }, + { + "epoch": 0.21, + "learning_rate": 4.585951705692211e-05, + "loss": 4.1337, + "step": 1643 + }, + { + "epoch": 0.21, + "learning_rate": 4.585380188785646e-05, + "loss": 3.939, + "step": 1644 + }, + { + "epoch": 0.21, + "learning_rate": 4.584808313378051e-05, + "loss": 4.092, + "step": 1645 + }, + { + "epoch": 0.21, + "learning_rate": 4.584236079567738e-05, + "loss": 4.1756, + "step": 1646 + }, + { + "epoch": 0.21, + "learning_rate": 4.58366348745308e-05, + "loss": 4.0356, + "step": 1647 + }, + { + "epoch": 0.21, + "learning_rate": 4.5830905371325125e-05, + "loss": 4.1135, + "step": 1648 + }, + { + "epoch": 0.21, + "learning_rate": 4.582517228704533e-05, + "loss": 3.9985, + "step": 1649 + }, + { + "epoch": 0.21, + "learning_rate": 4.5819435622676985e-05, + "loss": 4.1369, + "step": 1650 + }, + { + "epoch": 0.21, + "learning_rate": 4.5813695379206314e-05, + "loss": 4.0222, + "step": 1651 + }, + { + "epoch": 0.21, + "learning_rate": 4.58079515576201e-05, + "loss": 4.1846, + "step": 1652 + }, + { + "epoch": 0.21, + "learning_rate": 4.5802204158905784e-05, + "loss": 4.0385, + "step": 1653 + }, + { + "epoch": 0.21, + "learning_rate": 4.5796453184051416e-05, + "loss": 4.1363, + "step": 1654 + }, + { + "epoch": 0.21, + "learning_rate": 4.579069863404566e-05, + "loss": 4.0693, + "step": 1655 + }, + { + "epoch": 0.21, + "learning_rate": 4.578494050987777e-05, + "loss": 4.128, + "step": 1656 + }, + { + "epoch": 0.21, + "learning_rate": 4.577917881253766e-05, + "loss": 4.1169, + "step": 1657 + }, + { + "epoch": 0.21, + "learning_rate": 4.577341354301581e-05, + "loss": 4.0964, + "step": 1658 + }, + { + "epoch": 0.21, + "learning_rate": 4.576764470230335e-05, + "loss": 4.0973, + "step": 1659 + }, + { + "epoch": 0.21, + "learning_rate": 4.5761872291392e-05, + "loss": 3.9717, + "step": 1660 + }, + { + "epoch": 0.21, + "learning_rate": 4.575609631127412e-05, + "loss": 4.0854, + "step": 1661 + }, + { + "epoch": 0.21, + "learning_rate": 4.575031676294266e-05, + "loss": 4.01, + "step": 1662 + }, + { + "epoch": 0.21, + "learning_rate": 4.574453364739118e-05, + "loss": 3.9116, + "step": 1663 + }, + { + "epoch": 0.21, + "learning_rate": 4.5738746965613876e-05, + "loss": 4.1264, + "step": 1664 + }, + { + "epoch": 0.21, + "learning_rate": 4.573295671860555e-05, + "loss": 4.1075, + "step": 1665 + }, + { + "epoch": 0.21, + "learning_rate": 4.572716290736161e-05, + "loss": 4.0107, + "step": 1666 + }, + { + "epoch": 0.21, + "learning_rate": 4.5721365532878066e-05, + "loss": 3.9673, + "step": 1667 + }, + { + "epoch": 0.21, + "learning_rate": 4.5715564596151575e-05, + "loss": 4.0965, + "step": 1668 + }, + { + "epoch": 0.21, + "learning_rate": 4.570976009817936e-05, + "loss": 4.1024, + "step": 1669 + }, + { + "epoch": 0.21, + "learning_rate": 4.5703952039959305e-05, + "loss": 4.1388, + "step": 1670 + }, + { + "epoch": 0.21, + "learning_rate": 4.5698140422489875e-05, + "loss": 4.0694, + "step": 1671 + }, + { + "epoch": 0.21, + "learning_rate": 4.569232524677016e-05, + "loss": 3.9985, + "step": 1672 + }, + { + "epoch": 0.21, + "learning_rate": 4.568650651379984e-05, + "loss": 3.9839, + "step": 1673 + }, + { + "epoch": 0.21, + "learning_rate": 4.5680684224579226e-05, + "loss": 4.1255, + "step": 1674 + }, + { + "epoch": 0.21, + "learning_rate": 4.567485838010925e-05, + "loss": 4.0946, + "step": 1675 + }, + { + "epoch": 0.21, + "learning_rate": 4.566902898139144e-05, + "loss": 4.0694, + "step": 1676 + }, + { + "epoch": 0.21, + "learning_rate": 4.5663196029427926e-05, + "loss": 3.9834, + "step": 1677 + }, + { + "epoch": 0.21, + "learning_rate": 4.565735952522146e-05, + "loss": 4.0298, + "step": 1678 + }, + { + "epoch": 0.21, + "learning_rate": 4.5651519469775416e-05, + "loss": 4.0244, + "step": 1679 + }, + { + "epoch": 0.22, + "learning_rate": 4.564567586409377e-05, + "loss": 4.1596, + "step": 1680 + }, + { + "epoch": 0.22, + "learning_rate": 4.5639828709181086e-05, + "loss": 4.107, + "step": 1681 + }, + { + "epoch": 0.22, + "learning_rate": 4.5633978006042574e-05, + "loss": 4.1342, + "step": 1682 + }, + { + "epoch": 0.22, + "learning_rate": 4.5628123755684036e-05, + "loss": 4.062, + "step": 1683 + }, + { + "epoch": 0.22, + "learning_rate": 4.562226595911188e-05, + "loss": 4.1051, + "step": 1684 + }, + { + "epoch": 0.22, + "learning_rate": 4.561640461733313e-05, + "loss": 4.0136, + "step": 1685 + }, + { + "epoch": 0.22, + "learning_rate": 4.5610539731355426e-05, + "loss": 4.0438, + "step": 1686 + }, + { + "epoch": 0.22, + "learning_rate": 4.5604671302187e-05, + "loss": 4.102, + "step": 1687 + }, + { + "epoch": 0.22, + "learning_rate": 4.559879933083671e-05, + "loss": 3.9856, + "step": 1688 + }, + { + "epoch": 0.22, + "learning_rate": 4.5592923818314015e-05, + "loss": 4.0115, + "step": 1689 + }, + { + "epoch": 0.22, + "learning_rate": 4.558704476562897e-05, + "loss": 3.9635, + "step": 1690 + }, + { + "epoch": 0.22, + "learning_rate": 4.558116217379228e-05, + "loss": 4.0701, + "step": 1691 + }, + { + "epoch": 0.22, + "learning_rate": 4.557527604381521e-05, + "loss": 4.0705, + "step": 1692 + }, + { + "epoch": 0.22, + "learning_rate": 4.5569386376709656e-05, + "loss": 4.0559, + "step": 1693 + }, + { + "epoch": 0.22, + "learning_rate": 4.556349317348812e-05, + "loss": 3.8675, + "step": 1694 + }, + { + "epoch": 0.22, + "learning_rate": 4.555759643516372e-05, + "loss": 4.1144, + "step": 1695 + }, + { + "epoch": 0.22, + "learning_rate": 4.5551696162750166e-05, + "loss": 4.1112, + "step": 1696 + }, + { + "epoch": 0.22, + "learning_rate": 4.5545792357261785e-05, + "loss": 4.036, + "step": 1697 + }, + { + "epoch": 0.22, + "learning_rate": 4.553988501971351e-05, + "loss": 4.0898, + "step": 1698 + }, + { + "epoch": 0.22, + "learning_rate": 4.553397415112089e-05, + "loss": 4.0035, + "step": 1699 + }, + { + "epoch": 0.22, + "learning_rate": 4.5528059752500055e-05, + "loss": 4.125, + "step": 1700 + }, + { + "epoch": 0.22, + "learning_rate": 4.552214182486777e-05, + "loss": 3.8995, + "step": 1701 + }, + { + "epoch": 0.22, + "learning_rate": 4.551622036924139e-05, + "loss": 4.2235, + "step": 1702 + }, + { + "epoch": 0.22, + "learning_rate": 4.551029538663889e-05, + "loss": 4.1744, + "step": 1703 + }, + { + "epoch": 0.22, + "learning_rate": 4.550436687807883e-05, + "loss": 3.8676, + "step": 1704 + }, + { + "epoch": 0.22, + "learning_rate": 4.5498434844580405e-05, + "loss": 3.9368, + "step": 1705 + }, + { + "epoch": 0.22, + "learning_rate": 4.549249928716338e-05, + "loss": 3.9872, + "step": 1706 + }, + { + "epoch": 0.22, + "learning_rate": 4.548656020684817e-05, + "loss": 3.9562, + "step": 1707 + }, + { + "epoch": 0.22, + "learning_rate": 4.548061760465575e-05, + "loss": 3.959, + "step": 1708 + }, + { + "epoch": 0.22, + "learning_rate": 4.547467148160774e-05, + "loss": 4.1083, + "step": 1709 + }, + { + "epoch": 0.22, + "learning_rate": 4.546872183872634e-05, + "loss": 4.0228, + "step": 1710 + }, + { + "epoch": 0.22, + "learning_rate": 4.5462768677034357e-05, + "loss": 4.0739, + "step": 1711 + }, + { + "epoch": 0.22, + "learning_rate": 4.545681199755521e-05, + "loss": 4.0309, + "step": 1712 + }, + { + "epoch": 0.22, + "learning_rate": 4.545085180131293e-05, + "loss": 4.0453, + "step": 1713 + }, + { + "epoch": 0.22, + "learning_rate": 4.5444888089332136e-05, + "loss": 4.0971, + "step": 1714 + }, + { + "epoch": 0.22, + "learning_rate": 4.543892086263807e-05, + "loss": 4.0594, + "step": 1715 + }, + { + "epoch": 0.22, + "learning_rate": 4.5432950122256555e-05, + "loss": 3.9623, + "step": 1716 + }, + { + "epoch": 0.22, + "learning_rate": 4.542697586921403e-05, + "loss": 4.1893, + "step": 1717 + }, + { + "epoch": 0.22, + "learning_rate": 4.5420998104537546e-05, + "loss": 4.1163, + "step": 1718 + }, + { + "epoch": 0.22, + "learning_rate": 4.541501682925475e-05, + "loss": 4.0641, + "step": 1719 + }, + { + "epoch": 0.22, + "learning_rate": 4.540903204439389e-05, + "loss": 4.1075, + "step": 1720 + }, + { + "epoch": 0.22, + "learning_rate": 4.540304375098382e-05, + "loss": 4.1429, + "step": 1721 + }, + { + "epoch": 0.22, + "learning_rate": 4.539705195005399e-05, + "loss": 4.0287, + "step": 1722 + }, + { + "epoch": 0.22, + "learning_rate": 4.539105664263448e-05, + "loss": 3.9141, + "step": 1723 + }, + { + "epoch": 0.22, + "learning_rate": 4.538505782975593e-05, + "loss": 3.9312, + "step": 1724 + }, + { + "epoch": 0.22, + "learning_rate": 4.537905551244961e-05, + "loss": 4.0869, + "step": 1725 + }, + { + "epoch": 0.22, + "learning_rate": 4.53730496917474e-05, + "loss": 4.129, + "step": 1726 + }, + { + "epoch": 0.22, + "learning_rate": 4.536704036868177e-05, + "loss": 4.0634, + "step": 1727 + }, + { + "epoch": 0.22, + "learning_rate": 4.536102754428577e-05, + "loss": 4.0789, + "step": 1728 + }, + { + "epoch": 0.22, + "learning_rate": 4.53550112195931e-05, + "loss": 4.0607, + "step": 1729 + }, + { + "epoch": 0.22, + "learning_rate": 4.534899139563803e-05, + "loss": 4.1821, + "step": 1730 + }, + { + "epoch": 0.22, + "learning_rate": 4.5342968073455424e-05, + "loss": 4.132, + "step": 1731 + }, + { + "epoch": 0.22, + "learning_rate": 4.5336941254080775e-05, + "loss": 3.9951, + "step": 1732 + }, + { + "epoch": 0.22, + "learning_rate": 4.533091093855016e-05, + "loss": 4.1447, + "step": 1733 + }, + { + "epoch": 0.22, + "learning_rate": 4.5324877127900255e-05, + "loss": 3.9438, + "step": 1734 + }, + { + "epoch": 0.22, + "learning_rate": 4.531883982316835e-05, + "loss": 4.0321, + "step": 1735 + }, + { + "epoch": 0.22, + "learning_rate": 4.5312799025392315e-05, + "loss": 4.0494, + "step": 1736 + }, + { + "epoch": 0.22, + "learning_rate": 4.530675473561065e-05, + "loss": 3.9915, + "step": 1737 + }, + { + "epoch": 0.22, + "learning_rate": 4.5300706954862425e-05, + "loss": 3.8937, + "step": 1738 + }, + { + "epoch": 0.22, + "learning_rate": 4.529465568418733e-05, + "loss": 4.1818, + "step": 1739 + }, + { + "epoch": 0.22, + "learning_rate": 4.528860092462564e-05, + "loss": 4.1371, + "step": 1740 + }, + { + "epoch": 0.22, + "learning_rate": 4.528254267721825e-05, + "loss": 4.0174, + "step": 1741 + }, + { + "epoch": 0.22, + "learning_rate": 4.527648094300665e-05, + "loss": 4.1361, + "step": 1742 + }, + { + "epoch": 0.22, + "learning_rate": 4.52704157230329e-05, + "loss": 3.9199, + "step": 1743 + }, + { + "epoch": 0.22, + "learning_rate": 4.5264347018339695e-05, + "loss": 4.1271, + "step": 1744 + }, + { + "epoch": 0.22, + "learning_rate": 4.5258274829970304e-05, + "loss": 4.074, + "step": 1745 + }, + { + "epoch": 0.22, + "learning_rate": 4.525219915896863e-05, + "loss": 4.0914, + "step": 1746 + }, + { + "epoch": 0.22, + "learning_rate": 4.524612000637913e-05, + "loss": 4.1079, + "step": 1747 + }, + { + "epoch": 0.22, + "learning_rate": 4.5240037373246886e-05, + "loss": 4.1572, + "step": 1748 + }, + { + "epoch": 0.22, + "learning_rate": 4.523395126061758e-05, + "loss": 4.0368, + "step": 1749 + }, + { + "epoch": 0.22, + "learning_rate": 4.522786166953747e-05, + "loss": 4.1629, + "step": 1750 + }, + { + "epoch": 0.22, + "learning_rate": 4.522176860105345e-05, + "loss": 4.0793, + "step": 1751 + }, + { + "epoch": 0.22, + "learning_rate": 4.521567205621297e-05, + "loss": 4.0355, + "step": 1752 + }, + { + "epoch": 0.22, + "learning_rate": 4.5209572036064107e-05, + "loss": 4.1254, + "step": 1753 + }, + { + "epoch": 0.22, + "learning_rate": 4.5203468541655514e-05, + "loss": 3.9507, + "step": 1754 + }, + { + "epoch": 0.22, + "learning_rate": 4.5197361574036466e-05, + "loss": 3.9756, + "step": 1755 + }, + { + "epoch": 0.22, + "learning_rate": 4.519125113425681e-05, + "loss": 4.1597, + "step": 1756 + }, + { + "epoch": 0.22, + "learning_rate": 4.5185137223367016e-05, + "loss": 3.9262, + "step": 1757 + }, + { + "epoch": 0.23, + "learning_rate": 4.517901984241812e-05, + "loss": 4.1564, + "step": 1758 + }, + { + "epoch": 0.23, + "learning_rate": 4.517289899246178e-05, + "loss": 4.0556, + "step": 1759 + }, + { + "epoch": 0.23, + "learning_rate": 4.516677467455024e-05, + "loss": 4.0879, + "step": 1760 + }, + { + "epoch": 0.23, + "learning_rate": 4.516064688973634e-05, + "loss": 4.0469, + "step": 1761 + }, + { + "epoch": 0.23, + "learning_rate": 4.5154515639073515e-05, + "loss": 4.0681, + "step": 1762 + }, + { + "epoch": 0.23, + "learning_rate": 4.5148380923615806e-05, + "loss": 4.033, + "step": 1763 + }, + { + "epoch": 0.23, + "learning_rate": 4.514224274441783e-05, + "loss": 4.0336, + "step": 1764 + }, + { + "epoch": 0.23, + "learning_rate": 4.513610110253482e-05, + "loss": 3.9931, + "step": 1765 + }, + { + "epoch": 0.23, + "learning_rate": 4.512995599902259e-05, + "loss": 3.9625, + "step": 1766 + }, + { + "epoch": 0.23, + "learning_rate": 4.5123807434937557e-05, + "loss": 4.0143, + "step": 1767 + }, + { + "epoch": 0.23, + "learning_rate": 4.5117655411336736e-05, + "loss": 3.9372, + "step": 1768 + }, + { + "epoch": 0.23, + "learning_rate": 4.5111499929277726e-05, + "loss": 4.0688, + "step": 1769 + }, + { + "epoch": 0.23, + "learning_rate": 4.510534098981872e-05, + "loss": 3.943, + "step": 1770 + }, + { + "epoch": 0.23, + "learning_rate": 4.5099178594018524e-05, + "loss": 3.9505, + "step": 1771 + }, + { + "epoch": 0.23, + "learning_rate": 4.509301274293651e-05, + "loss": 4.0862, + "step": 1772 + }, + { + "epoch": 0.23, + "learning_rate": 4.508684343763268e-05, + "loss": 4.0342, + "step": 1773 + }, + { + "epoch": 0.23, + "learning_rate": 4.508067067916758e-05, + "loss": 3.9773, + "step": 1774 + }, + { + "epoch": 0.23, + "learning_rate": 4.5074494468602405e-05, + "loss": 4.103, + "step": 1775 + }, + { + "epoch": 0.23, + "learning_rate": 4.50683148069989e-05, + "loss": 4.1489, + "step": 1776 + }, + { + "epoch": 0.23, + "learning_rate": 4.506213169541944e-05, + "loss": 4.0359, + "step": 1777 + }, + { + "epoch": 0.23, + "learning_rate": 4.505594513492695e-05, + "loss": 4.0657, + "step": 1778 + }, + { + "epoch": 0.23, + "learning_rate": 4.504975512658499e-05, + "loss": 4.0665, + "step": 1779 + }, + { + "epoch": 0.23, + "learning_rate": 4.504356167145768e-05, + "loss": 4.0917, + "step": 1780 + }, + { + "epoch": 0.23, + "learning_rate": 4.503736477060976e-05, + "loss": 4.1513, + "step": 1781 + }, + { + "epoch": 0.23, + "learning_rate": 4.503116442510654e-05, + "loss": 4.125, + "step": 1782 + }, + { + "epoch": 0.23, + "learning_rate": 4.5024960636013934e-05, + "loss": 4.0105, + "step": 1783 + }, + { + "epoch": 0.23, + "learning_rate": 4.501875340439845e-05, + "loss": 4.0932, + "step": 1784 + }, + { + "epoch": 0.23, + "learning_rate": 4.501254273132717e-05, + "loss": 4.0721, + "step": 1785 + }, + { + "epoch": 0.23, + "learning_rate": 4.50063286178678e-05, + "loss": 4.0424, + "step": 1786 + }, + { + "epoch": 0.23, + "learning_rate": 4.500011106508859e-05, + "loss": 4.0022, + "step": 1787 + }, + { + "epoch": 0.23, + "learning_rate": 4.4993890074058444e-05, + "loss": 4.0112, + "step": 1788 + }, + { + "epoch": 0.23, + "learning_rate": 4.49876656458468e-05, + "loss": 3.9874, + "step": 1789 + }, + { + "epoch": 0.23, + "learning_rate": 4.4981437781523714e-05, + "loss": 4.0063, + "step": 1790 + }, + { + "epoch": 0.23, + "learning_rate": 4.497520648215982e-05, + "loss": 4.0584, + "step": 1791 + }, + { + "epoch": 0.23, + "learning_rate": 4.496897174882637e-05, + "loss": 3.9498, + "step": 1792 + }, + { + "epoch": 0.23, + "learning_rate": 4.4962733582595176e-05, + "loss": 4.0289, + "step": 1793 + }, + { + "epoch": 0.23, + "learning_rate": 4.4956491984538654e-05, + "loss": 4.0497, + "step": 1794 + }, + { + "epoch": 0.23, + "learning_rate": 4.49502469557298e-05, + "loss": 4.1827, + "step": 1795 + }, + { + "epoch": 0.23, + "learning_rate": 4.4943998497242204e-05, + "loss": 3.9756, + "step": 1796 + }, + { + "epoch": 0.23, + "learning_rate": 4.493774661015007e-05, + "loss": 3.9145, + "step": 1797 + }, + { + "epoch": 0.23, + "learning_rate": 4.4931491295528146e-05, + "loss": 4.0736, + "step": 1798 + }, + { + "epoch": 0.23, + "learning_rate": 4.4925232554451805e-05, + "loss": 3.9447, + "step": 1799 + }, + { + "epoch": 0.23, + "learning_rate": 4.4918970387996987e-05, + "loss": 4.136, + "step": 1800 + }, + { + "epoch": 0.23, + "learning_rate": 4.491270479724024e-05, + "loss": 3.9528, + "step": 1801 + }, + { + "epoch": 0.23, + "learning_rate": 4.49064357832587e-05, + "loss": 4.143, + "step": 1802 + }, + { + "epoch": 0.23, + "learning_rate": 4.490016334713007e-05, + "loss": 4.1073, + "step": 1803 + }, + { + "epoch": 0.23, + "learning_rate": 4.4893887489932664e-05, + "loss": 4.0089, + "step": 1804 + }, + { + "epoch": 0.23, + "learning_rate": 4.4887608212745364e-05, + "loss": 3.9815, + "step": 1805 + }, + { + "epoch": 0.23, + "learning_rate": 4.488132551664765e-05, + "loss": 4.1614, + "step": 1806 + }, + { + "epoch": 0.23, + "learning_rate": 4.4875039402719606e-05, + "loss": 4.0529, + "step": 1807 + }, + { + "epoch": 0.23, + "learning_rate": 4.486874987204187e-05, + "loss": 4.197, + "step": 1808 + }, + { + "epoch": 0.23, + "learning_rate": 4.486245692569569e-05, + "loss": 4.0654, + "step": 1809 + }, + { + "epoch": 0.23, + "learning_rate": 4.485616056476291e-05, + "loss": 4.0994, + "step": 1810 + }, + { + "epoch": 0.23, + "learning_rate": 4.4849860790325924e-05, + "loss": 4.1399, + "step": 1811 + }, + { + "epoch": 0.23, + "learning_rate": 4.484355760346776e-05, + "loss": 3.9748, + "step": 1812 + }, + { + "epoch": 0.23, + "learning_rate": 4.4837251005271985e-05, + "loss": 4.0264, + "step": 1813 + }, + { + "epoch": 0.23, + "learning_rate": 4.48309409968228e-05, + "loss": 4.1965, + "step": 1814 + }, + { + "epoch": 0.23, + "learning_rate": 4.4824627579204956e-05, + "loss": 4.0234, + "step": 1815 + }, + { + "epoch": 0.23, + "learning_rate": 4.48183107535038e-05, + "loss": 3.9168, + "step": 1816 + }, + { + "epoch": 0.23, + "learning_rate": 4.481199052080527e-05, + "loss": 4.0113, + "step": 1817 + }, + { + "epoch": 0.23, + "learning_rate": 4.48056668821959e-05, + "loss": 4.0596, + "step": 1818 + }, + { + "epoch": 0.23, + "learning_rate": 4.479933983876278e-05, + "loss": 4.0727, + "step": 1819 + }, + { + "epoch": 0.23, + "learning_rate": 4.47930093915936e-05, + "loss": 4.0862, + "step": 1820 + }, + { + "epoch": 0.23, + "learning_rate": 4.478667554177666e-05, + "loss": 4.039, + "step": 1821 + }, + { + "epoch": 0.23, + "learning_rate": 4.4780338290400793e-05, + "loss": 3.9848, + "step": 1822 + }, + { + "epoch": 0.23, + "learning_rate": 4.477399763855547e-05, + "loss": 3.9712, + "step": 1823 + }, + { + "epoch": 0.23, + "learning_rate": 4.476765358733071e-05, + "loss": 3.9447, + "step": 1824 + }, + { + "epoch": 0.23, + "learning_rate": 4.476130613781713e-05, + "loss": 4.0621, + "step": 1825 + }, + { + "epoch": 0.23, + "learning_rate": 4.4754955291105937e-05, + "loss": 4.1461, + "step": 1826 + }, + { + "epoch": 0.23, + "learning_rate": 4.4748601048288904e-05, + "loss": 4.0313, + "step": 1827 + }, + { + "epoch": 0.23, + "learning_rate": 4.4742243410458415e-05, + "loss": 4.0409, + "step": 1828 + }, + { + "epoch": 0.23, + "learning_rate": 4.4735882378707405e-05, + "loss": 4.0615, + "step": 1829 + }, + { + "epoch": 0.23, + "learning_rate": 4.472951795412942e-05, + "loss": 3.967, + "step": 1830 + }, + { + "epoch": 0.23, + "learning_rate": 4.472315013781857e-05, + "loss": 4.2178, + "step": 1831 + }, + { + "epoch": 0.23, + "learning_rate": 4.471677893086956e-05, + "loss": 4.0308, + "step": 1832 + }, + { + "epoch": 0.23, + "learning_rate": 4.471040433437769e-05, + "loss": 3.9147, + "step": 1833 + }, + { + "epoch": 0.23, + "learning_rate": 4.4704026349438796e-05, + "loss": 4.196, + "step": 1834 + }, + { + "epoch": 0.23, + "learning_rate": 4.469764497714934e-05, + "loss": 4.0984, + "step": 1835 + }, + { + "epoch": 0.24, + "learning_rate": 4.469126021860637e-05, + "loss": 3.9856, + "step": 1836 + }, + { + "epoch": 0.24, + "learning_rate": 4.4684872074907494e-05, + "loss": 4.0394, + "step": 1837 + }, + { + "epoch": 0.24, + "learning_rate": 4.467848054715089e-05, + "loss": 3.985, + "step": 1838 + }, + { + "epoch": 0.24, + "learning_rate": 4.467208563643534e-05, + "loss": 4.0331, + "step": 1839 + }, + { + "epoch": 0.24, + "learning_rate": 4.466568734386023e-05, + "loss": 3.9984, + "step": 1840 + }, + { + "epoch": 0.24, + "learning_rate": 4.4659285670525464e-05, + "loss": 3.9853, + "step": 1841 + }, + { + "epoch": 0.24, + "learning_rate": 4.465288061753159e-05, + "loss": 3.9773, + "step": 1842 + }, + { + "epoch": 0.24, + "learning_rate": 4.464647218597971e-05, + "loss": 4.0568, + "step": 1843 + }, + { + "epoch": 0.24, + "learning_rate": 4.464006037697148e-05, + "loss": 3.8515, + "step": 1844 + }, + { + "epoch": 0.24, + "learning_rate": 4.4633645191609195e-05, + "loss": 3.9487, + "step": 1845 + }, + { + "epoch": 0.24, + "learning_rate": 4.4627226630995686e-05, + "loss": 3.9608, + "step": 1846 + }, + { + "epoch": 0.24, + "learning_rate": 4.4620804696234387e-05, + "loss": 3.9468, + "step": 1847 + }, + { + "epoch": 0.24, + "learning_rate": 4.461437938842929e-05, + "loss": 4.1175, + "step": 1848 + }, + { + "epoch": 0.24, + "learning_rate": 4.4607950708684996e-05, + "loss": 3.9478, + "step": 1849 + }, + { + "epoch": 0.24, + "learning_rate": 4.460151865810666e-05, + "loss": 3.99, + "step": 1850 + }, + { + "epoch": 0.24, + "learning_rate": 4.459508323780001e-05, + "loss": 4.1642, + "step": 1851 + }, + { + "epoch": 0.24, + "learning_rate": 4.45886444488714e-05, + "loss": 3.9962, + "step": 1852 + }, + { + "epoch": 0.24, + "learning_rate": 4.458220229242771e-05, + "loss": 4.0841, + "step": 1853 + }, + { + "epoch": 0.24, + "learning_rate": 4.457575676957644e-05, + "loss": 4.0834, + "step": 1854 + }, + { + "epoch": 0.24, + "learning_rate": 4.456930788142563e-05, + "loss": 3.9308, + "step": 1855 + }, + { + "epoch": 0.24, + "learning_rate": 4.456285562908393e-05, + "loss": 4.0401, + "step": 1856 + }, + { + "epoch": 0.24, + "learning_rate": 4.455640001366056e-05, + "loss": 4.0871, + "step": 1857 + }, + { + "epoch": 0.24, + "learning_rate": 4.4549941036265306e-05, + "loss": 4.0579, + "step": 1858 + }, + { + "epoch": 0.24, + "learning_rate": 4.454347869800854e-05, + "loss": 4.0019, + "step": 1859 + }, + { + "epoch": 0.24, + "learning_rate": 4.453701300000124e-05, + "loss": 4.0836, + "step": 1860 + }, + { + "epoch": 0.24, + "learning_rate": 4.45305439433549e-05, + "loss": 4.063, + "step": 1861 + }, + { + "epoch": 0.24, + "learning_rate": 4.4524071529181635e-05, + "loss": 4.0726, + "step": 1862 + }, + { + "epoch": 0.24, + "learning_rate": 4.4517595758594124e-05, + "loss": 3.9224, + "step": 1863 + }, + { + "epoch": 0.24, + "learning_rate": 4.451111663270565e-05, + "loss": 3.9699, + "step": 1864 + }, + { + "epoch": 0.24, + "learning_rate": 4.4504634152630025e-05, + "loss": 4.1364, + "step": 1865 + }, + { + "epoch": 0.24, + "learning_rate": 4.449814831948168e-05, + "loss": 4.1338, + "step": 1866 + }, + { + "epoch": 0.24, + "learning_rate": 4.449165913437559e-05, + "loss": 4.1586, + "step": 1867 + }, + { + "epoch": 0.24, + "learning_rate": 4.448516659842733e-05, + "loss": 4.0757, + "step": 1868 + }, + { + "epoch": 0.24, + "learning_rate": 4.447867071275305e-05, + "loss": 3.8878, + "step": 1869 + }, + { + "epoch": 0.24, + "learning_rate": 4.447217147846944e-05, + "loss": 4.0648, + "step": 1870 + }, + { + "epoch": 0.24, + "learning_rate": 4.446566889669382e-05, + "loss": 4.0788, + "step": 1871 + }, + { + "epoch": 0.24, + "learning_rate": 4.445916296854406e-05, + "loss": 4.0718, + "step": 1872 + }, + { + "epoch": 0.24, + "learning_rate": 4.445265369513859e-05, + "loss": 4.0398, + "step": 1873 + }, + { + "epoch": 0.24, + "learning_rate": 4.4446141077596424e-05, + "loss": 4.2148, + "step": 1874 + }, + { + "epoch": 0.24, + "learning_rate": 4.443962511703719e-05, + "loss": 3.9534, + "step": 1875 + }, + { + "epoch": 0.24, + "learning_rate": 4.4433105814581015e-05, + "loss": 4.0657, + "step": 1876 + }, + { + "epoch": 0.24, + "learning_rate": 4.4426583171348666e-05, + "loss": 4.0345, + "step": 1877 + }, + { + "epoch": 0.24, + "learning_rate": 4.442005718846147e-05, + "loss": 4.1051, + "step": 1878 + }, + { + "epoch": 0.24, + "learning_rate": 4.441352786704129e-05, + "loss": 4.0849, + "step": 1879 + }, + { + "epoch": 0.24, + "learning_rate": 4.440699520821062e-05, + "loss": 3.9415, + "step": 1880 + }, + { + "epoch": 0.24, + "learning_rate": 4.440045921309249e-05, + "loss": 4.0601, + "step": 1881 + }, + { + "epoch": 0.24, + "learning_rate": 4.439391988281051e-05, + "loss": 4.1194, + "step": 1882 + }, + { + "epoch": 0.24, + "learning_rate": 4.438737721848886e-05, + "loss": 3.9127, + "step": 1883 + }, + { + "epoch": 0.24, + "learning_rate": 4.4380831221252316e-05, + "loss": 3.954, + "step": 1884 + }, + { + "epoch": 0.24, + "learning_rate": 4.437428189222621e-05, + "loss": 4.0556, + "step": 1885 + }, + { + "epoch": 0.24, + "learning_rate": 4.436772923253643e-05, + "loss": 4.1722, + "step": 1886 + }, + { + "epoch": 0.24, + "learning_rate": 4.436117324330946e-05, + "loss": 3.9959, + "step": 1887 + }, + { + "epoch": 0.24, + "learning_rate": 4.435461392567236e-05, + "loss": 4.2194, + "step": 1888 + }, + { + "epoch": 0.24, + "learning_rate": 4.434805128075276e-05, + "loss": 3.9694, + "step": 1889 + }, + { + "epoch": 0.24, + "learning_rate": 4.434148530967883e-05, + "loss": 3.8755, + "step": 1890 + }, + { + "epoch": 0.24, + "learning_rate": 4.433491601357935e-05, + "loss": 4.083, + "step": 1891 + }, + { + "epoch": 0.24, + "learning_rate": 4.432834339358367e-05, + "loss": 3.926, + "step": 1892 + }, + { + "epoch": 0.24, + "learning_rate": 4.4321767450821675e-05, + "loss": 4.0227, + "step": 1893 + }, + { + "epoch": 0.24, + "learning_rate": 4.431518818642386e-05, + "loss": 3.9319, + "step": 1894 + }, + { + "epoch": 0.24, + "learning_rate": 4.430860560152128e-05, + "loss": 4.0281, + "step": 1895 + }, + { + "epoch": 0.24, + "learning_rate": 4.430201969724555e-05, + "loss": 4.0981, + "step": 1896 + }, + { + "epoch": 0.24, + "learning_rate": 4.429543047472886e-05, + "loss": 4.1391, + "step": 1897 + }, + { + "epoch": 0.24, + "learning_rate": 4.428883793510399e-05, + "loss": 4.0585, + "step": 1898 + }, + { + "epoch": 0.24, + "learning_rate": 4.4282242079504257e-05, + "loss": 4.0815, + "step": 1899 + }, + { + "epoch": 0.24, + "learning_rate": 4.427564290906357e-05, + "loss": 4.058, + "step": 1900 + }, + { + "epoch": 0.24, + "learning_rate": 4.426904042491641e-05, + "loss": 4.1091, + "step": 1901 + }, + { + "epoch": 0.24, + "learning_rate": 4.426243462819781e-05, + "loss": 4.1111, + "step": 1902 + }, + { + "epoch": 0.24, + "learning_rate": 4.425582552004339e-05, + "loss": 3.9484, + "step": 1903 + }, + { + "epoch": 0.24, + "learning_rate": 4.424921310158933e-05, + "loss": 3.9769, + "step": 1904 + }, + { + "epoch": 0.24, + "learning_rate": 4.4242597373972386e-05, + "loss": 4.0913, + "step": 1905 + }, + { + "epoch": 0.24, + "learning_rate": 4.423597833832986e-05, + "loss": 3.9946, + "step": 1906 + }, + { + "epoch": 0.24, + "learning_rate": 4.422935599579967e-05, + "loss": 4.0619, + "step": 1907 + }, + { + "epoch": 0.24, + "learning_rate": 4.422273034752026e-05, + "loss": 4.1054, + "step": 1908 + }, + { + "epoch": 0.24, + "learning_rate": 4.4216101394630645e-05, + "loss": 3.921, + "step": 1909 + }, + { + "epoch": 0.24, + "learning_rate": 4.420946913827043e-05, + "loss": 4.0875, + "step": 1910 + }, + { + "epoch": 0.24, + "learning_rate": 4.420283357957978e-05, + "loss": 4.0162, + "step": 1911 + }, + { + "epoch": 0.24, + "learning_rate": 4.419619471969941e-05, + "loss": 3.9199, + "step": 1912 + }, + { + "epoch": 0.24, + "learning_rate": 4.418955255977064e-05, + "loss": 4.1886, + "step": 1913 + }, + { + "epoch": 0.24, + "learning_rate": 4.418290710093531e-05, + "loss": 4.1413, + "step": 1914 + }, + { + "epoch": 0.25, + "learning_rate": 4.4176258344335865e-05, + "loss": 4.1845, + "step": 1915 + }, + { + "epoch": 0.25, + "learning_rate": 4.41696062911153e-05, + "loss": 3.908, + "step": 1916 + }, + { + "epoch": 0.25, + "learning_rate": 4.416295094241718e-05, + "loss": 3.9286, + "step": 1917 + }, + { + "epoch": 0.25, + "learning_rate": 4.415629229938564e-05, + "loss": 4.1038, + "step": 1918 + }, + { + "epoch": 0.25, + "learning_rate": 4.414963036316537e-05, + "loss": 4.07, + "step": 1919 + }, + { + "epoch": 0.25, + "learning_rate": 4.414296513490164e-05, + "loss": 4.1696, + "step": 1920 + }, + { + "epoch": 0.25, + "learning_rate": 4.413629661574028e-05, + "loss": 3.8335, + "step": 1921 + }, + { + "epoch": 0.25, + "learning_rate": 4.4129624806827686e-05, + "loss": 4.058, + "step": 1922 + }, + { + "epoch": 0.25, + "learning_rate": 4.4122949709310816e-05, + "loss": 4.1074, + "step": 1923 + }, + { + "epoch": 0.25, + "learning_rate": 4.41162713243372e-05, + "loss": 3.9925, + "step": 1924 + }, + { + "epoch": 0.25, + "learning_rate": 4.410958965305493e-05, + "loss": 4.0679, + "step": 1925 + }, + { + "epoch": 0.25, + "learning_rate": 4.4102904696612654e-05, + "loss": 4.0936, + "step": 1926 + }, + { + "epoch": 0.25, + "learning_rate": 4.409621645615961e-05, + "loss": 3.938, + "step": 1927 + }, + { + "epoch": 0.25, + "learning_rate": 4.4089524932845575e-05, + "loss": 4.0786, + "step": 1928 + }, + { + "epoch": 0.25, + "learning_rate": 4.4082830127820897e-05, + "loss": 4.0132, + "step": 1929 + }, + { + "epoch": 0.25, + "learning_rate": 4.407613204223648e-05, + "loss": 4.0671, + "step": 1930 + }, + { + "epoch": 0.25, + "learning_rate": 4.4069430677243835e-05, + "loss": 4.0094, + "step": 1931 + }, + { + "epoch": 0.25, + "learning_rate": 4.4062726033994975e-05, + "loss": 4.0467, + "step": 1932 + }, + { + "epoch": 0.25, + "learning_rate": 4.4056018113642516e-05, + "loss": 3.9997, + "step": 1933 + }, + { + "epoch": 0.25, + "learning_rate": 4.4049306917339624e-05, + "loss": 3.9806, + "step": 1934 + }, + { + "epoch": 0.25, + "learning_rate": 4.4042592446240046e-05, + "loss": 4.0221, + "step": 1935 + }, + { + "epoch": 0.25, + "learning_rate": 4.4035874701498055e-05, + "loss": 3.9876, + "step": 1936 + }, + { + "epoch": 0.25, + "learning_rate": 4.4029153684268526e-05, + "loss": 3.8967, + "step": 1937 + }, + { + "epoch": 0.25, + "learning_rate": 4.402242939570687e-05, + "loss": 3.8928, + "step": 1938 + }, + { + "epoch": 0.25, + "learning_rate": 4.401570183696907e-05, + "loss": 4.0167, + "step": 1939 + }, + { + "epoch": 0.25, + "learning_rate": 4.4008971009211686e-05, + "loss": 4.0245, + "step": 1940 + }, + { + "epoch": 0.25, + "learning_rate": 4.400223691359181e-05, + "loss": 3.9689, + "step": 1941 + }, + { + "epoch": 0.25, + "learning_rate": 4.3995499551267114e-05, + "loss": 4.0042, + "step": 1942 + }, + { + "epoch": 0.25, + "learning_rate": 4.3988758923395834e-05, + "loss": 3.992, + "step": 1943 + }, + { + "epoch": 0.25, + "learning_rate": 4.3982015031136756e-05, + "loss": 4.1142, + "step": 1944 + }, + { + "epoch": 0.25, + "learning_rate": 4.397526787564923e-05, + "loss": 4.2171, + "step": 1945 + }, + { + "epoch": 0.25, + "learning_rate": 4.396851745809318e-05, + "loss": 4.0149, + "step": 1946 + }, + { + "epoch": 0.25, + "learning_rate": 4.396176377962908e-05, + "loss": 4.1179, + "step": 1947 + }, + { + "epoch": 0.25, + "learning_rate": 4.3955006841417964e-05, + "loss": 3.8889, + "step": 1948 + }, + { + "epoch": 0.25, + "learning_rate": 4.394824664462143e-05, + "loss": 3.96, + "step": 1949 + }, + { + "epoch": 0.25, + "learning_rate": 4.394148319040162e-05, + "loss": 3.896, + "step": 1950 + }, + { + "epoch": 0.25, + "learning_rate": 4.393471647992127e-05, + "loss": 3.9781, + "step": 1951 + }, + { + "epoch": 0.25, + "learning_rate": 4.3927946514343636e-05, + "loss": 4.0048, + "step": 1952 + }, + { + "epoch": 0.25, + "learning_rate": 4.3921173294832574e-05, + "loss": 3.8941, + "step": 1953 + }, + { + "epoch": 0.25, + "learning_rate": 4.3914396822552465e-05, + "loss": 3.9531, + "step": 1954 + }, + { + "epoch": 0.25, + "learning_rate": 4.390761709866827e-05, + "loss": 4.0999, + "step": 1955 + }, + { + "epoch": 0.25, + "learning_rate": 4.3900834124345505e-05, + "loss": 4.0412, + "step": 1956 + }, + { + "epoch": 0.25, + "learning_rate": 4.3894047900750224e-05, + "loss": 4.0553, + "step": 1957 + }, + { + "epoch": 0.25, + "learning_rate": 4.3887258429049084e-05, + "loss": 4.0454, + "step": 1958 + }, + { + "epoch": 0.25, + "learning_rate": 4.388046571040925e-05, + "loss": 4.0734, + "step": 1959 + }, + { + "epoch": 0.25, + "learning_rate": 4.387366974599848e-05, + "loss": 3.9981, + "step": 1960 + }, + { + "epoch": 0.25, + "learning_rate": 4.3866870536985085e-05, + "loss": 3.9625, + "step": 1961 + }, + { + "epoch": 0.25, + "learning_rate": 4.386006808453792e-05, + "loss": 3.9911, + "step": 1962 + }, + { + "epoch": 0.25, + "learning_rate": 4.38532623898264e-05, + "loss": 3.9827, + "step": 1963 + }, + { + "epoch": 0.25, + "learning_rate": 4.3846453454020514e-05, + "loss": 4.024, + "step": 1964 + }, + { + "epoch": 0.25, + "learning_rate": 4.383964127829079e-05, + "loss": 4.0617, + "step": 1965 + }, + { + "epoch": 0.25, + "learning_rate": 4.3832825863808326e-05, + "loss": 4.1159, + "step": 1966 + }, + { + "epoch": 0.25, + "learning_rate": 4.382600721174477e-05, + "loss": 3.9807, + "step": 1967 + }, + { + "epoch": 0.25, + "learning_rate": 4.3819185323272314e-05, + "loss": 4.0341, + "step": 1968 + }, + { + "epoch": 0.25, + "learning_rate": 4.381236019956374e-05, + "loss": 3.9521, + "step": 1969 + }, + { + "epoch": 0.25, + "learning_rate": 4.3805531841792345e-05, + "loss": 4.0402, + "step": 1970 + }, + { + "epoch": 0.25, + "learning_rate": 4.379870025113203e-05, + "loss": 4.0797, + "step": 1971 + }, + { + "epoch": 0.25, + "learning_rate": 4.3791865428757196e-05, + "loss": 3.8791, + "step": 1972 + }, + { + "epoch": 0.25, + "learning_rate": 4.3785027375842846e-05, + "loss": 4.0127, + "step": 1973 + }, + { + "epoch": 0.25, + "learning_rate": 4.377818609356451e-05, + "loss": 4.0614, + "step": 1974 + }, + { + "epoch": 0.25, + "learning_rate": 4.37713415830983e-05, + "loss": 4.0181, + "step": 1975 + }, + { + "epoch": 0.25, + "learning_rate": 4.376449384562085e-05, + "loss": 4.1744, + "step": 1976 + }, + { + "epoch": 0.25, + "learning_rate": 4.375764288230936e-05, + "loss": 4.1009, + "step": 1977 + }, + { + "epoch": 0.25, + "learning_rate": 4.375078869434161e-05, + "loss": 3.966, + "step": 1978 + }, + { + "epoch": 0.25, + "learning_rate": 4.374393128289591e-05, + "loss": 4.0573, + "step": 1979 + }, + { + "epoch": 0.25, + "learning_rate": 4.3737070649151126e-05, + "loss": 3.9233, + "step": 1980 + }, + { + "epoch": 0.25, + "learning_rate": 4.3730206794286674e-05, + "loss": 4.1367, + "step": 1981 + }, + { + "epoch": 0.25, + "learning_rate": 4.3723339719482534e-05, + "loss": 4.1717, + "step": 1982 + }, + { + "epoch": 0.25, + "learning_rate": 4.371646942591924e-05, + "loss": 4.0031, + "step": 1983 + }, + { + "epoch": 0.25, + "learning_rate": 4.370959591477787e-05, + "loss": 3.9305, + "step": 1984 + }, + { + "epoch": 0.25, + "learning_rate": 4.370271918724006e-05, + "loss": 4.1022, + "step": 1985 + }, + { + "epoch": 0.25, + "learning_rate": 4.3695839244488e-05, + "loss": 4.0073, + "step": 1986 + }, + { + "epoch": 0.25, + "learning_rate": 4.3688956087704435e-05, + "loss": 3.9984, + "step": 1987 + }, + { + "epoch": 0.25, + "learning_rate": 4.368206971807266e-05, + "loss": 3.9015, + "step": 1988 + }, + { + "epoch": 0.25, + "learning_rate": 4.367518013677652e-05, + "loss": 4.0287, + "step": 1989 + }, + { + "epoch": 0.25, + "learning_rate": 4.36682873450004e-05, + "loss": 4.0351, + "step": 1990 + }, + { + "epoch": 0.25, + "learning_rate": 4.366139134392928e-05, + "loss": 3.9796, + "step": 1991 + }, + { + "epoch": 0.25, + "learning_rate": 4.3654492134748636e-05, + "loss": 4.0607, + "step": 1992 + }, + { + "epoch": 0.26, + "learning_rate": 4.364758971864455e-05, + "loss": 4.0175, + "step": 1993 + }, + { + "epoch": 0.26, + "learning_rate": 4.364068409680359e-05, + "loss": 3.9283, + "step": 1994 + }, + { + "epoch": 0.26, + "learning_rate": 4.363377527041294e-05, + "loss": 4.0371, + "step": 1995 + }, + { + "epoch": 0.26, + "learning_rate": 4.36268632406603e-05, + "loss": 4.1458, + "step": 1996 + }, + { + "epoch": 0.26, + "learning_rate": 4.361994800873392e-05, + "loss": 3.9455, + "step": 1997 + }, + { + "epoch": 0.26, + "learning_rate": 4.361302957582263e-05, + "loss": 4.06, + "step": 1998 + }, + { + "epoch": 0.26, + "learning_rate": 4.360610794311577e-05, + "loss": 4.0235, + "step": 1999 + }, + { + "epoch": 0.26, + "learning_rate": 4.3599183111803254e-05, + "loss": 4.1721, + "step": 2000 + }, + { + "epoch": 0.26, + "learning_rate": 4.359225508307554e-05, + "loss": 4.0375, + "step": 2001 + }, + { + "epoch": 0.26, + "learning_rate": 4.358532385812364e-05, + "loss": 4.1049, + "step": 2002 + }, + { + "epoch": 0.26, + "learning_rate": 4.357838943813911e-05, + "loss": 4.1051, + "step": 2003 + }, + { + "epoch": 0.26, + "learning_rate": 4.357145182431405e-05, + "loss": 4.0099, + "step": 2004 + }, + { + "epoch": 0.26, + "learning_rate": 4.3564511017841126e-05, + "loss": 3.8946, + "step": 2005 + }, + { + "epoch": 0.26, + "learning_rate": 4.3557567019913535e-05, + "loss": 4.0031, + "step": 2006 + }, + { + "epoch": 0.26, + "learning_rate": 4.355061983172504e-05, + "loss": 3.993, + "step": 2007 + }, + { + "epoch": 0.26, + "learning_rate": 4.354366945446994e-05, + "loss": 3.9084, + "step": 2008 + }, + { + "epoch": 0.26, + "learning_rate": 4.3536715889343084e-05, + "loss": 3.9994, + "step": 2009 + }, + { + "epoch": 0.26, + "learning_rate": 4.3529759137539874e-05, + "loss": 4.1271, + "step": 2010 + }, + { + "epoch": 0.26, + "learning_rate": 4.352279920025624e-05, + "loss": 3.969, + "step": 2011 + }, + { + "epoch": 0.26, + "learning_rate": 4.3515836078688696e-05, + "loss": 3.9395, + "step": 2012 + }, + { + "epoch": 0.26, + "learning_rate": 4.350886977403428e-05, + "loss": 4.0894, + "step": 2013 + }, + { + "epoch": 0.26, + "learning_rate": 4.350190028749057e-05, + "loss": 3.975, + "step": 2014 + }, + { + "epoch": 0.26, + "learning_rate": 4.3494927620255715e-05, + "loss": 3.9683, + "step": 2015 + }, + { + "epoch": 0.26, + "learning_rate": 4.348795177352839e-05, + "loss": 4.0504, + "step": 2016 + }, + { + "epoch": 0.26, + "learning_rate": 4.348097274850782e-05, + "loss": 4.0688, + "step": 2017 + }, + { + "epoch": 0.26, + "learning_rate": 4.3473990546393785e-05, + "loss": 4.0691, + "step": 2018 + }, + { + "epoch": 0.26, + "learning_rate": 4.346700516838661e-05, + "loss": 3.9823, + "step": 2019 + }, + { + "epoch": 0.26, + "learning_rate": 4.346001661568715e-05, + "loss": 4.0268, + "step": 2020 + }, + { + "epoch": 0.26, + "learning_rate": 4.345302488949684e-05, + "loss": 3.9442, + "step": 2021 + }, + { + "epoch": 0.26, + "learning_rate": 4.3446029991017615e-05, + "loss": 4.0733, + "step": 2022 + }, + { + "epoch": 0.26, + "learning_rate": 4.3439031921451995e-05, + "loss": 3.7964, + "step": 2023 + }, + { + "epoch": 0.26, + "learning_rate": 4.343203068200302e-05, + "loss": 3.9276, + "step": 2024 + }, + { + "epoch": 0.26, + "learning_rate": 4.342502627387429e-05, + "loss": 4.0096, + "step": 2025 + }, + { + "epoch": 0.26, + "learning_rate": 4.3418018698269946e-05, + "loss": 4.0271, + "step": 2026 + }, + { + "epoch": 0.26, + "learning_rate": 4.3411007956394666e-05, + "loss": 3.981, + "step": 2027 + }, + { + "epoch": 0.26, + "learning_rate": 4.3403994049453677e-05, + "loss": 4.0865, + "step": 2028 + }, + { + "epoch": 0.26, + "learning_rate": 4.339697697865276e-05, + "loss": 3.9942, + "step": 2029 + }, + { + "epoch": 0.26, + "learning_rate": 4.338995674519822e-05, + "loss": 4.1338, + "step": 2030 + }, + { + "epoch": 0.26, + "learning_rate": 4.338293335029692e-05, + "loss": 4.0603, + "step": 2031 + }, + { + "epoch": 0.26, + "learning_rate": 4.337590679515626e-05, + "loss": 4.0424, + "step": 2032 + }, + { + "epoch": 0.26, + "learning_rate": 4.336887708098419e-05, + "loss": 4.0412, + "step": 2033 + }, + { + "epoch": 0.26, + "learning_rate": 4.3361844208989214e-05, + "loss": 4.092, + "step": 2034 + }, + { + "epoch": 0.26, + "learning_rate": 4.335480818038034e-05, + "loss": 3.9915, + "step": 2035 + }, + { + "epoch": 0.26, + "learning_rate": 4.3347768996367144e-05, + "loss": 4.1343, + "step": 2036 + }, + { + "epoch": 0.26, + "learning_rate": 4.3340726658159766e-05, + "loss": 4.0217, + "step": 2037 + }, + { + "epoch": 0.26, + "learning_rate": 4.3333681166968845e-05, + "loss": 3.9686, + "step": 2038 + }, + { + "epoch": 0.26, + "learning_rate": 4.332663252400558e-05, + "loss": 4.0361, + "step": 2039 + }, + { + "epoch": 0.26, + "learning_rate": 4.331958073048174e-05, + "loss": 4.1315, + "step": 2040 + }, + { + "epoch": 0.26, + "learning_rate": 4.3312525787609585e-05, + "loss": 4.2054, + "step": 2041 + }, + { + "epoch": 0.26, + "learning_rate": 4.330546769660195e-05, + "loss": 4.0022, + "step": 2042 + }, + { + "epoch": 0.26, + "learning_rate": 4.3298406458672205e-05, + "loss": 4.0962, + "step": 2043 + }, + { + "epoch": 0.26, + "learning_rate": 4.3291342075034256e-05, + "loss": 3.9426, + "step": 2044 + }, + { + "epoch": 0.26, + "learning_rate": 4.328427454690256e-05, + "loss": 4.0087, + "step": 2045 + }, + { + "epoch": 0.26, + "learning_rate": 4.327720387549209e-05, + "loss": 4.0616, + "step": 2046 + }, + { + "epoch": 0.26, + "learning_rate": 4.327013006201839e-05, + "loss": 4.1092, + "step": 2047 + }, + { + "epoch": 0.26, + "learning_rate": 4.326305310769753e-05, + "loss": 4.1953, + "step": 2048 + }, + { + "epoch": 0.26, + "learning_rate": 4.325597301374611e-05, + "loss": 4.0784, + "step": 2049 + }, + { + "epoch": 0.26, + "learning_rate": 4.324888978138129e-05, + "loss": 3.9711, + "step": 2050 + }, + { + "epoch": 0.26, + "learning_rate": 4.3241803411820756e-05, + "loss": 3.8589, + "step": 2051 + }, + { + "epoch": 0.26, + "learning_rate": 4.323471390628274e-05, + "loss": 3.8316, + "step": 2052 + }, + { + "epoch": 0.26, + "learning_rate": 4.322762126598601e-05, + "loss": 4.1133, + "step": 2053 + }, + { + "epoch": 0.26, + "learning_rate": 4.322052549214987e-05, + "loss": 4.1127, + "step": 2054 + }, + { + "epoch": 0.26, + "learning_rate": 4.3213426585994164e-05, + "loss": 4.1253, + "step": 2055 + }, + { + "epoch": 0.26, + "learning_rate": 4.320632454873929e-05, + "loss": 3.7984, + "step": 2056 + }, + { + "epoch": 0.26, + "learning_rate": 4.3199219381606154e-05, + "loss": 4.1099, + "step": 2057 + }, + { + "epoch": 0.26, + "learning_rate": 4.319211108581622e-05, + "loss": 3.978, + "step": 2058 + }, + { + "epoch": 0.26, + "learning_rate": 4.3184999662591494e-05, + "loss": 4.1255, + "step": 2059 + }, + { + "epoch": 0.26, + "learning_rate": 4.3177885113154506e-05, + "loss": 4.029, + "step": 2060 + }, + { + "epoch": 0.26, + "learning_rate": 4.317076743872833e-05, + "loss": 3.9407, + "step": 2061 + }, + { + "epoch": 0.26, + "learning_rate": 4.316364664053658e-05, + "loss": 3.9095, + "step": 2062 + }, + { + "epoch": 0.26, + "learning_rate": 4.31565227198034e-05, + "loss": 4.0605, + "step": 2063 + }, + { + "epoch": 0.26, + "learning_rate": 4.314939567775347e-05, + "loss": 4.092, + "step": 2064 + }, + { + "epoch": 0.26, + "learning_rate": 4.314226551561202e-05, + "loss": 4.0556, + "step": 2065 + }, + { + "epoch": 0.26, + "learning_rate": 4.313513223460482e-05, + "loss": 4.0691, + "step": 2066 + }, + { + "epoch": 0.26, + "learning_rate": 4.312799583595814e-05, + "loss": 4.1829, + "step": 2067 + }, + { + "epoch": 0.26, + "learning_rate": 4.312085632089881e-05, + "loss": 4.0514, + "step": 2068 + }, + { + "epoch": 0.26, + "learning_rate": 4.31137136906542e-05, + "loss": 4.0121, + "step": 2069 + }, + { + "epoch": 0.26, + "learning_rate": 4.310656794645223e-05, + "loss": 4.1858, + "step": 2070 + }, + { + "epoch": 0.27, + "learning_rate": 4.309941908952131e-05, + "loss": 4.0041, + "step": 2071 + }, + { + "epoch": 0.27, + "learning_rate": 4.3092267121090425e-05, + "loss": 4.0322, + "step": 2072 + }, + { + "epoch": 0.27, + "learning_rate": 4.308511204238908e-05, + "loss": 4.1168, + "step": 2073 + }, + { + "epoch": 0.27, + "learning_rate": 4.30779538546473e-05, + "loss": 4.1027, + "step": 2074 + }, + { + "epoch": 0.27, + "learning_rate": 4.307079255909569e-05, + "loss": 4.0641, + "step": 2075 + }, + { + "epoch": 0.27, + "learning_rate": 4.306362815696534e-05, + "loss": 4.091, + "step": 2076 + }, + { + "epoch": 0.27, + "learning_rate": 4.3056460649487904e-05, + "loss": 3.9452, + "step": 2077 + }, + { + "epoch": 0.27, + "learning_rate": 4.304929003789555e-05, + "loss": 3.908, + "step": 2078 + }, + { + "epoch": 0.27, + "learning_rate": 4.304211632342099e-05, + "loss": 3.8844, + "step": 2079 + }, + { + "epoch": 0.27, + "learning_rate": 4.3034939507297475e-05, + "loss": 3.899, + "step": 2080 + }, + { + "epoch": 0.27, + "learning_rate": 4.3027759590758775e-05, + "loss": 3.9599, + "step": 2081 + }, + { + "epoch": 0.27, + "learning_rate": 4.3020576575039216e-05, + "loss": 4.0276, + "step": 2082 + }, + { + "epoch": 0.27, + "learning_rate": 4.3013390461373625e-05, + "loss": 4.011, + "step": 2083 + }, + { + "epoch": 0.27, + "learning_rate": 4.300620125099738e-05, + "loss": 4.0031, + "step": 2084 + }, + { + "epoch": 0.27, + "learning_rate": 4.29990089451464e-05, + "loss": 4.1096, + "step": 2085 + }, + { + "epoch": 0.27, + "learning_rate": 4.299181354505712e-05, + "loss": 4.0275, + "step": 2086 + }, + { + "epoch": 0.27, + "learning_rate": 4.298461505196652e-05, + "loss": 4.1175, + "step": 2087 + }, + { + "epoch": 0.27, + "learning_rate": 4.297741346711208e-05, + "loss": 4.1343, + "step": 2088 + }, + { + "epoch": 0.27, + "learning_rate": 4.297020879173186e-05, + "loss": 3.9313, + "step": 2089 + }, + { + "epoch": 0.27, + "learning_rate": 4.296300102706442e-05, + "loss": 4.038, + "step": 2090 + }, + { + "epoch": 0.27, + "learning_rate": 4.295579017434886e-05, + "loss": 4.0804, + "step": 2091 + }, + { + "epoch": 0.27, + "learning_rate": 4.294857623482481e-05, + "loss": 4.0495, + "step": 2092 + }, + { + "epoch": 0.27, + "learning_rate": 4.294135920973242e-05, + "loss": 4.0432, + "step": 2093 + }, + { + "epoch": 0.27, + "learning_rate": 4.29341391003124e-05, + "loss": 4.1513, + "step": 2094 + }, + { + "epoch": 0.27, + "learning_rate": 4.2926915907805954e-05, + "loss": 4.1041, + "step": 2095 + }, + { + "epoch": 0.27, + "learning_rate": 4.291968963345483e-05, + "loss": 4.0108, + "step": 2096 + }, + { + "epoch": 0.27, + "learning_rate": 4.291246027850132e-05, + "loss": 4.1166, + "step": 2097 + }, + { + "epoch": 0.27, + "learning_rate": 4.290522784418823e-05, + "loss": 4.0002, + "step": 2098 + }, + { + "epoch": 0.27, + "learning_rate": 4.28979923317589e-05, + "loss": 4.0793, + "step": 2099 + }, + { + "epoch": 0.27, + "learning_rate": 4.289075374245719e-05, + "loss": 3.9334, + "step": 2100 + }, + { + "epoch": 0.27, + "learning_rate": 4.2883512077527506e-05, + "loss": 4.1003, + "step": 2101 + }, + { + "epoch": 0.27, + "learning_rate": 4.287626733821477e-05, + "loss": 4.0463, + "step": 2102 + }, + { + "epoch": 0.27, + "learning_rate": 4.286901952576445e-05, + "loss": 4.1291, + "step": 2103 + }, + { + "epoch": 0.27, + "learning_rate": 4.2861768641422505e-05, + "loss": 4.1, + "step": 2104 + }, + { + "epoch": 0.27, + "learning_rate": 4.2854514686435466e-05, + "loss": 4.1294, + "step": 2105 + }, + { + "epoch": 0.27, + "learning_rate": 4.2847257662050365e-05, + "loss": 4.033, + "step": 2106 + }, + { + "epoch": 0.27, + "learning_rate": 4.283999756951477e-05, + "loss": 4.0206, + "step": 2107 + }, + { + "epoch": 0.27, + "learning_rate": 4.283273441007677e-05, + "loss": 3.8403, + "step": 2108 + }, + { + "epoch": 0.27, + "learning_rate": 4.2825468184984993e-05, + "loss": 3.9361, + "step": 2109 + }, + { + "epoch": 0.27, + "learning_rate": 4.281819889548858e-05, + "loss": 3.9798, + "step": 2110 + }, + { + "epoch": 0.27, + "learning_rate": 4.281092654283722e-05, + "loss": 4.146, + "step": 2111 + }, + { + "epoch": 0.27, + "learning_rate": 4.28036511282811e-05, + "loss": 3.9921, + "step": 2112 + }, + { + "epoch": 0.27, + "learning_rate": 4.2796372653070946e-05, + "loss": 4.0653, + "step": 2113 + }, + { + "epoch": 0.27, + "learning_rate": 4.2789091118458034e-05, + "loss": 4.0058, + "step": 2114 + }, + { + "epoch": 0.27, + "learning_rate": 4.2781806525694126e-05, + "loss": 4.053, + "step": 2115 + }, + { + "epoch": 0.27, + "learning_rate": 4.2774518876031524e-05, + "loss": 3.9907, + "step": 2116 + }, + { + "epoch": 0.27, + "learning_rate": 4.276722817072307e-05, + "loss": 3.9595, + "step": 2117 + }, + { + "epoch": 0.27, + "learning_rate": 4.275993441102212e-05, + "loss": 4.0539, + "step": 2118 + }, + { + "epoch": 0.27, + "learning_rate": 4.275263759818256e-05, + "loss": 4.0142, + "step": 2119 + }, + { + "epoch": 0.27, + "learning_rate": 4.274533773345878e-05, + "loss": 3.9754, + "step": 2120 + }, + { + "epoch": 0.27, + "learning_rate": 4.2738034818105725e-05, + "loss": 4.0198, + "step": 2121 + }, + { + "epoch": 0.27, + "learning_rate": 4.273072885337885e-05, + "loss": 4.1375, + "step": 2122 + }, + { + "epoch": 0.27, + "learning_rate": 4.272341984053413e-05, + "loss": 3.9831, + "step": 2123 + }, + { + "epoch": 0.27, + "learning_rate": 4.2716107780828075e-05, + "loss": 4.0849, + "step": 2124 + }, + { + "epoch": 0.27, + "learning_rate": 4.2708792675517705e-05, + "loss": 4.0194, + "step": 2125 + }, + { + "epoch": 0.27, + "learning_rate": 4.2701474525860585e-05, + "loss": 4.054, + "step": 2126 + }, + { + "epoch": 0.27, + "learning_rate": 4.2694153333114775e-05, + "loss": 3.8597, + "step": 2127 + }, + { + "epoch": 0.27, + "learning_rate": 4.268682909853888e-05, + "loss": 3.9686, + "step": 2128 + }, + { + "epoch": 0.27, + "learning_rate": 4.267950182339201e-05, + "loss": 4.1025, + "step": 2129 + }, + { + "epoch": 0.27, + "learning_rate": 4.267217150893383e-05, + "loss": 3.9725, + "step": 2130 + }, + { + "epoch": 0.27, + "learning_rate": 4.266483815642449e-05, + "loss": 3.9156, + "step": 2131 + }, + { + "epoch": 0.27, + "learning_rate": 4.2657501767124685e-05, + "loss": 3.9112, + "step": 2132 + }, + { + "epoch": 0.27, + "learning_rate": 4.265016234229563e-05, + "loss": 3.9675, + "step": 2133 + }, + { + "epoch": 0.27, + "learning_rate": 4.2642819883199035e-05, + "loss": 4.0983, + "step": 2134 + }, + { + "epoch": 0.27, + "learning_rate": 4.263547439109717e-05, + "loss": 3.9585, + "step": 2135 + }, + { + "epoch": 0.27, + "learning_rate": 4.2628125867252824e-05, + "loss": 4.1069, + "step": 2136 + }, + { + "epoch": 0.27, + "learning_rate": 4.262077431292927e-05, + "loss": 4.1051, + "step": 2137 + }, + { + "epoch": 0.27, + "learning_rate": 4.2613419729390337e-05, + "loss": 3.9107, + "step": 2138 + }, + { + "epoch": 0.27, + "learning_rate": 4.2606062117900354e-05, + "loss": 3.969, + "step": 2139 + }, + { + "epoch": 0.27, + "learning_rate": 4.259870147972419e-05, + "loss": 4.0215, + "step": 2140 + }, + { + "epoch": 0.27, + "learning_rate": 4.259133781612722e-05, + "loss": 4.0979, + "step": 2141 + }, + { + "epoch": 0.27, + "learning_rate": 4.258397112837534e-05, + "loss": 4.0836, + "step": 2142 + }, + { + "epoch": 0.27, + "learning_rate": 4.257660141773498e-05, + "loss": 4.016, + "step": 2143 + }, + { + "epoch": 0.27, + "learning_rate": 4.256922868547306e-05, + "loss": 3.9522, + "step": 2144 + }, + { + "epoch": 0.27, + "learning_rate": 4.256185293285705e-05, + "loss": 3.9865, + "step": 2145 + }, + { + "epoch": 0.27, + "learning_rate": 4.255447416115493e-05, + "loss": 4.034, + "step": 2146 + }, + { + "epoch": 0.27, + "learning_rate": 4.25470923716352e-05, + "loss": 3.9878, + "step": 2147 + }, + { + "epoch": 0.27, + "learning_rate": 4.2539707565566854e-05, + "loss": 3.9623, + "step": 2148 + }, + { + "epoch": 0.28, + "learning_rate": 4.253231974421945e-05, + "loss": 3.9918, + "step": 2149 + }, + { + "epoch": 0.28, + "learning_rate": 4.2524928908863025e-05, + "loss": 3.9539, + "step": 2150 + }, + { + "epoch": 0.28, + "learning_rate": 4.251753506076816e-05, + "loss": 3.98, + "step": 2151 + }, + { + "epoch": 0.28, + "learning_rate": 4.2510138201205936e-05, + "loss": 4.0754, + "step": 2152 + }, + { + "epoch": 0.28, + "learning_rate": 4.2502738331447956e-05, + "loss": 4.0438, + "step": 2153 + }, + { + "epoch": 0.28, + "learning_rate": 4.2495335452766346e-05, + "loss": 4.0738, + "step": 2154 + }, + { + "epoch": 0.28, + "learning_rate": 4.248792956643376e-05, + "loss": 4.0622, + "step": 2155 + }, + { + "epoch": 0.28, + "learning_rate": 4.2480520673723334e-05, + "loss": 4.1532, + "step": 2156 + }, + { + "epoch": 0.28, + "learning_rate": 4.2473108775908756e-05, + "loss": 3.8815, + "step": 2157 + }, + { + "epoch": 0.28, + "learning_rate": 4.2465693874264206e-05, + "loss": 3.966, + "step": 2158 + }, + { + "epoch": 0.28, + "learning_rate": 4.2458275970064406e-05, + "loss": 3.918, + "step": 2159 + }, + { + "epoch": 0.28, + "learning_rate": 4.245085506458457e-05, + "loss": 4.0554, + "step": 2160 + }, + { + "epoch": 0.28, + "learning_rate": 4.244343115910045e-05, + "loss": 4.0482, + "step": 2161 + }, + { + "epoch": 0.28, + "learning_rate": 4.243600425488828e-05, + "loss": 4.0173, + "step": 2162 + }, + { + "epoch": 0.28, + "learning_rate": 4.2428574353224846e-05, + "loss": 3.857, + "step": 2163 + }, + { + "epoch": 0.28, + "learning_rate": 4.2421141455387435e-05, + "loss": 3.9567, + "step": 2164 + }, + { + "epoch": 0.28, + "learning_rate": 4.241370556265385e-05, + "loss": 3.9692, + "step": 2165 + }, + { + "epoch": 0.28, + "learning_rate": 4.240626667630239e-05, + "loss": 3.9563, + "step": 2166 + }, + { + "epoch": 0.28, + "learning_rate": 4.2398824797611906e-05, + "loss": 3.9554, + "step": 2167 + }, + { + "epoch": 0.28, + "learning_rate": 4.239137992786173e-05, + "loss": 3.9022, + "step": 2168 + }, + { + "epoch": 0.28, + "learning_rate": 4.238393206833173e-05, + "loss": 4.041, + "step": 2169 + }, + { + "epoch": 0.28, + "learning_rate": 4.237648122030227e-05, + "loss": 3.8663, + "step": 2170 + }, + { + "epoch": 0.28, + "learning_rate": 4.236902738505425e-05, + "loss": 4.0125, + "step": 2171 + }, + { + "epoch": 0.28, + "learning_rate": 4.2361570563869056e-05, + "loss": 4.1445, + "step": 2172 + }, + { + "epoch": 0.28, + "learning_rate": 4.235411075802861e-05, + "loss": 3.9701, + "step": 2173 + }, + { + "epoch": 0.28, + "learning_rate": 4.234664796881535e-05, + "loss": 3.9252, + "step": 2174 + }, + { + "epoch": 0.28, + "learning_rate": 4.233918219751219e-05, + "loss": 4.0578, + "step": 2175 + }, + { + "epoch": 0.28, + "learning_rate": 4.23317134454026e-05, + "loss": 4.0768, + "step": 2176 + }, + { + "epoch": 0.28, + "learning_rate": 4.232424171377055e-05, + "loss": 3.8815, + "step": 2177 + }, + { + "epoch": 0.28, + "learning_rate": 4.23167670039005e-05, + "loss": 4.0529, + "step": 2178 + }, + { + "epoch": 0.28, + "learning_rate": 4.230928931707746e-05, + "loss": 4.0541, + "step": 2179 + }, + { + "epoch": 0.28, + "learning_rate": 4.230180865458692e-05, + "loss": 4.0411, + "step": 2180 + }, + { + "epoch": 0.28, + "learning_rate": 4.2294325017714875e-05, + "loss": 4.0509, + "step": 2181 + }, + { + "epoch": 0.28, + "learning_rate": 4.228683840774788e-05, + "loss": 4.0885, + "step": 2182 + }, + { + "epoch": 0.28, + "learning_rate": 4.227934882597296e-05, + "loss": 3.9628, + "step": 2183 + }, + { + "epoch": 0.28, + "learning_rate": 4.227185627367765e-05, + "loss": 3.8319, + "step": 2184 + }, + { + "epoch": 0.28, + "learning_rate": 4.226436075215001e-05, + "loss": 4.0177, + "step": 2185 + }, + { + "epoch": 0.28, + "learning_rate": 4.225686226267862e-05, + "loss": 4.0622, + "step": 2186 + }, + { + "epoch": 0.28, + "learning_rate": 4.224936080655255e-05, + "loss": 3.9829, + "step": 2187 + }, + { + "epoch": 0.28, + "learning_rate": 4.224185638506138e-05, + "loss": 3.9371, + "step": 2188 + }, + { + "epoch": 0.28, + "learning_rate": 4.223434899949521e-05, + "loss": 3.956, + "step": 2189 + }, + { + "epoch": 0.28, + "learning_rate": 4.222683865114465e-05, + "loss": 4.1096, + "step": 2190 + }, + { + "epoch": 0.28, + "learning_rate": 4.221932534130082e-05, + "loss": 3.9535, + "step": 2191 + }, + { + "epoch": 0.28, + "learning_rate": 4.2211809071255345e-05, + "loss": 3.9436, + "step": 2192 + }, + { + "epoch": 0.28, + "learning_rate": 4.2204289842300345e-05, + "loss": 3.9775, + "step": 2193 + }, + { + "epoch": 0.28, + "learning_rate": 4.2196767655728474e-05, + "loss": 4.0859, + "step": 2194 + }, + { + "epoch": 0.28, + "learning_rate": 4.218924251283288e-05, + "loss": 4.1018, + "step": 2195 + }, + { + "epoch": 0.28, + "learning_rate": 4.2181714414907225e-05, + "loss": 4.0309, + "step": 2196 + }, + { + "epoch": 0.28, + "learning_rate": 4.2174183363245675e-05, + "loss": 4.0591, + "step": 2197 + }, + { + "epoch": 0.28, + "learning_rate": 4.216664935914291e-05, + "loss": 4.0515, + "step": 2198 + }, + { + "epoch": 0.28, + "learning_rate": 4.215911240389409e-05, + "loss": 3.8485, + "step": 2199 + }, + { + "epoch": 0.28, + "learning_rate": 4.2151572498794936e-05, + "loss": 3.9616, + "step": 2200 + }, + { + "epoch": 0.28, + "learning_rate": 4.214402964514163e-05, + "loss": 3.9021, + "step": 2201 + }, + { + "epoch": 0.28, + "learning_rate": 4.213648384423088e-05, + "loss": 4.0773, + "step": 2202 + }, + { + "epoch": 0.28, + "learning_rate": 4.212893509735989e-05, + "loss": 3.9817, + "step": 2203 + }, + { + "epoch": 0.28, + "learning_rate": 4.212138340582637e-05, + "loss": 4.0663, + "step": 2204 + }, + { + "epoch": 0.28, + "learning_rate": 4.2113828770928575e-05, + "loss": 3.9969, + "step": 2205 + }, + { + "epoch": 0.28, + "learning_rate": 4.21062711939652e-05, + "loss": 3.9085, + "step": 2206 + }, + { + "epoch": 0.28, + "learning_rate": 4.20987106762355e-05, + "loss": 4.0802, + "step": 2207 + }, + { + "epoch": 0.28, + "learning_rate": 4.2091147219039206e-05, + "loss": 3.8817, + "step": 2208 + }, + { + "epoch": 0.28, + "learning_rate": 4.208358082367657e-05, + "loss": 4.0125, + "step": 2209 + }, + { + "epoch": 0.28, + "learning_rate": 4.2076011491448345e-05, + "loss": 4.078, + "step": 2210 + }, + { + "epoch": 0.28, + "learning_rate": 4.2068439223655775e-05, + "loss": 4.0689, + "step": 2211 + }, + { + "epoch": 0.28, + "learning_rate": 4.206086402160063e-05, + "loss": 3.9264, + "step": 2212 + }, + { + "epoch": 0.28, + "learning_rate": 4.205328588658517e-05, + "loss": 4.0856, + "step": 2213 + }, + { + "epoch": 0.28, + "learning_rate": 4.204570481991217e-05, + "loss": 4.0034, + "step": 2214 + }, + { + "epoch": 0.28, + "learning_rate": 4.2038120822884907e-05, + "loss": 4.0312, + "step": 2215 + }, + { + "epoch": 0.28, + "learning_rate": 4.2030533896807145e-05, + "loss": 4.0487, + "step": 2216 + }, + { + "epoch": 0.28, + "learning_rate": 4.202294404298317e-05, + "loss": 3.9967, + "step": 2217 + }, + { + "epoch": 0.28, + "learning_rate": 4.2015351262717775e-05, + "loss": 4.0282, + "step": 2218 + }, + { + "epoch": 0.28, + "learning_rate": 4.200775555731623e-05, + "loss": 3.939, + "step": 2219 + }, + { + "epoch": 0.28, + "learning_rate": 4.200015692808434e-05, + "loss": 4.0204, + "step": 2220 + }, + { + "epoch": 0.28, + "learning_rate": 4.199255537632838e-05, + "loss": 3.9853, + "step": 2221 + }, + { + "epoch": 0.28, + "learning_rate": 4.198495090335517e-05, + "loss": 3.8835, + "step": 2222 + }, + { + "epoch": 0.28, + "learning_rate": 4.197734351047199e-05, + "loss": 3.9481, + "step": 2223 + }, + { + "epoch": 0.28, + "learning_rate": 4.1969733198986636e-05, + "loss": 3.9945, + "step": 2224 + }, + { + "epoch": 0.28, + "learning_rate": 4.196211997020742e-05, + "loss": 4.1035, + "step": 2225 + }, + { + "epoch": 0.28, + "learning_rate": 4.195450382544315e-05, + "loss": 3.983, + "step": 2226 + }, + { + "epoch": 0.29, + "learning_rate": 4.1946884766003105e-05, + "loss": 3.9502, + "step": 2227 + }, + { + "epoch": 0.29, + "learning_rate": 4.19392627931971e-05, + "loss": 3.954, + "step": 2228 + }, + { + "epoch": 0.29, + "learning_rate": 4.193163790833545e-05, + "loss": 4.0654, + "step": 2229 + }, + { + "epoch": 0.29, + "learning_rate": 4.192401011272896e-05, + "loss": 3.8879, + "step": 2230 + }, + { + "epoch": 0.29, + "learning_rate": 4.191637940768893e-05, + "loss": 4.0518, + "step": 2231 + }, + { + "epoch": 0.29, + "learning_rate": 4.190874579452716e-05, + "loss": 3.9771, + "step": 2232 + }, + { + "epoch": 0.29, + "learning_rate": 4.1901109274555974e-05, + "loss": 4.003, + "step": 2233 + }, + { + "epoch": 0.29, + "learning_rate": 4.1893469849088164e-05, + "loss": 3.9303, + "step": 2234 + }, + { + "epoch": 0.29, + "learning_rate": 4.188582751943705e-05, + "loss": 3.9796, + "step": 2235 + }, + { + "epoch": 0.29, + "learning_rate": 4.187818228691641e-05, + "loss": 4.0327, + "step": 2236 + }, + { + "epoch": 0.29, + "learning_rate": 4.187053415284059e-05, + "loss": 4.0101, + "step": 2237 + }, + { + "epoch": 0.29, + "learning_rate": 4.1862883118524353e-05, + "loss": 3.9504, + "step": 2238 + }, + { + "epoch": 0.29, + "learning_rate": 4.185522918528302e-05, + "loss": 4.0059, + "step": 2239 + }, + { + "epoch": 0.29, + "learning_rate": 4.1847572354432384e-05, + "loss": 3.9427, + "step": 2240 + }, + { + "epoch": 0.29, + "learning_rate": 4.1839912627288754e-05, + "loss": 3.9586, + "step": 2241 + }, + { + "epoch": 0.29, + "learning_rate": 4.183225000516891e-05, + "loss": 3.9503, + "step": 2242 + }, + { + "epoch": 0.29, + "learning_rate": 4.182458448939016e-05, + "loss": 4.0631, + "step": 2243 + }, + { + "epoch": 0.29, + "learning_rate": 4.1816916081270284e-05, + "loss": 4.0995, + "step": 2244 + }, + { + "epoch": 0.29, + "learning_rate": 4.180924478212758e-05, + "loss": 3.9011, + "step": 2245 + }, + { + "epoch": 0.29, + "learning_rate": 4.1801570593280824e-05, + "loss": 3.9268, + "step": 2246 + }, + { + "epoch": 0.29, + "learning_rate": 4.179389351604931e-05, + "loss": 4.0089, + "step": 2247 + }, + { + "epoch": 0.29, + "learning_rate": 4.178621355175281e-05, + "loss": 4.0303, + "step": 2248 + }, + { + "epoch": 0.29, + "learning_rate": 4.1778530701711586e-05, + "loss": 3.9889, + "step": 2249 + }, + { + "epoch": 0.29, + "learning_rate": 4.177084496724643e-05, + "loss": 4.032, + "step": 2250 + }, + { + "epoch": 0.29, + "learning_rate": 4.176315634967859e-05, + "loss": 4.1312, + "step": 2251 + }, + { + "epoch": 0.29, + "learning_rate": 4.175546485032985e-05, + "loss": 4.0486, + "step": 2252 + }, + { + "epoch": 0.29, + "learning_rate": 4.174777047052245e-05, + "loss": 4.0812, + "step": 2253 + }, + { + "epoch": 0.29, + "learning_rate": 4.174007321157916e-05, + "loss": 3.9607, + "step": 2254 + }, + { + "epoch": 0.29, + "learning_rate": 4.1732373074823204e-05, + "loss": 4.1672, + "step": 2255 + }, + { + "epoch": 0.29, + "learning_rate": 4.172467006157834e-05, + "loss": 4.0142, + "step": 2256 + }, + { + "epoch": 0.29, + "learning_rate": 4.171696417316881e-05, + "loss": 3.8674, + "step": 2257 + }, + { + "epoch": 0.29, + "learning_rate": 4.170925541091933e-05, + "loss": 4.0723, + "step": 2258 + }, + { + "epoch": 0.29, + "learning_rate": 4.170154377615514e-05, + "loss": 4.062, + "step": 2259 + }, + { + "epoch": 0.29, + "learning_rate": 4.1693829270201955e-05, + "loss": 3.9658, + "step": 2260 + }, + { + "epoch": 0.29, + "learning_rate": 4.168611189438598e-05, + "loss": 4.0334, + "step": 2261 + }, + { + "epoch": 0.29, + "learning_rate": 4.167839165003394e-05, + "loss": 3.9308, + "step": 2262 + }, + { + "epoch": 0.29, + "learning_rate": 4.167066853847302e-05, + "loss": 4.1951, + "step": 2263 + }, + { + "epoch": 0.29, + "learning_rate": 4.16629425610309e-05, + "loss": 4.2178, + "step": 2264 + }, + { + "epoch": 0.29, + "learning_rate": 4.16552137190358e-05, + "loss": 4.1046, + "step": 2265 + }, + { + "epoch": 0.29, + "learning_rate": 4.164748201381637e-05, + "loss": 4.0002, + "step": 2266 + }, + { + "epoch": 0.29, + "learning_rate": 4.1639747446701794e-05, + "loss": 3.9217, + "step": 2267 + }, + { + "epoch": 0.29, + "learning_rate": 4.1632010019021715e-05, + "loss": 3.9223, + "step": 2268 + }, + { + "epoch": 0.29, + "learning_rate": 4.16242697321063e-05, + "loss": 4.0223, + "step": 2269 + }, + { + "epoch": 0.29, + "learning_rate": 4.16165265872862e-05, + "loss": 3.9447, + "step": 2270 + }, + { + "epoch": 0.29, + "learning_rate": 4.1608780585892546e-05, + "loss": 3.9905, + "step": 2271 + }, + { + "epoch": 0.29, + "learning_rate": 4.160103172925696e-05, + "loss": 3.8536, + "step": 2272 + }, + { + "epoch": 0.29, + "learning_rate": 4.159328001871157e-05, + "loss": 4.1097, + "step": 2273 + }, + { + "epoch": 0.29, + "learning_rate": 4.158552545558897e-05, + "loss": 3.9602, + "step": 2274 + }, + { + "epoch": 0.29, + "learning_rate": 4.157776804122227e-05, + "loss": 3.9832, + "step": 2275 + }, + { + "epoch": 0.29, + "learning_rate": 4.1570007776945066e-05, + "loss": 3.895, + "step": 2276 + }, + { + "epoch": 0.29, + "learning_rate": 4.1562244664091415e-05, + "loss": 3.8866, + "step": 2277 + }, + { + "epoch": 0.29, + "learning_rate": 4.15544787039959e-05, + "loss": 4.1498, + "step": 2278 + }, + { + "epoch": 0.29, + "learning_rate": 4.15467098979936e-05, + "loss": 3.9643, + "step": 2279 + }, + { + "epoch": 0.29, + "learning_rate": 4.1538938247420025e-05, + "loss": 4.0207, + "step": 2280 + }, + { + "epoch": 0.29, + "learning_rate": 4.1531163753611236e-05, + "loss": 4.025, + "step": 2281 + }, + { + "epoch": 0.29, + "learning_rate": 4.152338641790375e-05, + "loss": 4.0504, + "step": 2282 + }, + { + "epoch": 0.29, + "learning_rate": 4.151560624163458e-05, + "loss": 3.982, + "step": 2283 + }, + { + "epoch": 0.29, + "learning_rate": 4.150782322614124e-05, + "loss": 3.984, + "step": 2284 + }, + { + "epoch": 0.29, + "learning_rate": 4.150003737276171e-05, + "loss": 4.0411, + "step": 2285 + }, + { + "epoch": 0.29, + "learning_rate": 4.1492248682834465e-05, + "loss": 4.0297, + "step": 2286 + }, + { + "epoch": 0.29, + "learning_rate": 4.1484457157698475e-05, + "loss": 4.2011, + "step": 2287 + }, + { + "epoch": 0.29, + "learning_rate": 4.147666279869321e-05, + "loss": 4.0183, + "step": 2288 + }, + { + "epoch": 0.29, + "learning_rate": 4.146886560715858e-05, + "loss": 4.1541, + "step": 2289 + }, + { + "epoch": 0.29, + "learning_rate": 4.146106558443504e-05, + "loss": 4.0384, + "step": 2290 + }, + { + "epoch": 0.29, + "learning_rate": 4.1453262731863484e-05, + "loss": 3.9972, + "step": 2291 + }, + { + "epoch": 0.29, + "learning_rate": 4.144545705078533e-05, + "loss": 4.1119, + "step": 2292 + }, + { + "epoch": 0.29, + "learning_rate": 4.1437648542542454e-05, + "loss": 3.8767, + "step": 2293 + }, + { + "epoch": 0.29, + "learning_rate": 4.1429837208477226e-05, + "loss": 4.0242, + "step": 2294 + }, + { + "epoch": 0.29, + "learning_rate": 4.1422023049932525e-05, + "loss": 3.9978, + "step": 2295 + }, + { + "epoch": 0.29, + "learning_rate": 4.141420606825166e-05, + "loss": 4.0475, + "step": 2296 + }, + { + "epoch": 0.29, + "learning_rate": 4.1406386264778493e-05, + "loss": 4.0763, + "step": 2297 + }, + { + "epoch": 0.29, + "learning_rate": 4.1398563640857334e-05, + "loss": 4.0333, + "step": 2298 + }, + { + "epoch": 0.29, + "learning_rate": 4.139073819783298e-05, + "loss": 4.061, + "step": 2299 + }, + { + "epoch": 0.29, + "learning_rate": 4.1382909937050694e-05, + "loss": 4.0244, + "step": 2300 + }, + { + "epoch": 0.29, + "learning_rate": 4.137507885985628e-05, + "loss": 3.9193, + "step": 2301 + }, + { + "epoch": 0.29, + "learning_rate": 4.1367244967595964e-05, + "loss": 4.0249, + "step": 2302 + }, + { + "epoch": 0.29, + "learning_rate": 4.13594082616165e-05, + "loss": 4.002, + "step": 2303 + }, + { + "epoch": 0.29, + "learning_rate": 4.135156874326509e-05, + "loss": 4.0097, + "step": 2304 + }, + { + "epoch": 0.3, + "learning_rate": 4.134372641388946e-05, + "loss": 4.0061, + "step": 2305 + }, + { + "epoch": 0.3, + "learning_rate": 4.1335881274837776e-05, + "loss": 4.1068, + "step": 2306 + }, + { + "epoch": 0.3, + "learning_rate": 4.132803332745873e-05, + "loss": 3.9589, + "step": 2307 + }, + { + "epoch": 0.3, + "learning_rate": 4.1320182573101464e-05, + "loss": 3.8755, + "step": 2308 + }, + { + "epoch": 0.3, + "learning_rate": 4.131232901311561e-05, + "loss": 4.0458, + "step": 2309 + }, + { + "epoch": 0.3, + "learning_rate": 4.130447264885128e-05, + "loss": 3.8971, + "step": 2310 + }, + { + "epoch": 0.3, + "learning_rate": 4.1296613481659095e-05, + "loss": 3.9809, + "step": 2311 + }, + { + "epoch": 0.3, + "learning_rate": 4.1288751512890135e-05, + "loss": 4.0457, + "step": 2312 + }, + { + "epoch": 0.3, + "learning_rate": 4.128088674389594e-05, + "loss": 3.9844, + "step": 2313 + }, + { + "epoch": 0.3, + "learning_rate": 4.127301917602857e-05, + "loss": 4.0417, + "step": 2314 + }, + { + "epoch": 0.3, + "learning_rate": 4.126514881064055e-05, + "loss": 4.0835, + "step": 2315 + }, + { + "epoch": 0.3, + "learning_rate": 4.12572756490849e-05, + "loss": 4.1202, + "step": 2316 + }, + { + "epoch": 0.3, + "learning_rate": 4.124939969271509e-05, + "loss": 3.8493, + "step": 2317 + }, + { + "epoch": 0.3, + "learning_rate": 4.124152094288509e-05, + "loss": 3.9877, + "step": 2318 + }, + { + "epoch": 0.3, + "learning_rate": 4.1233639400949345e-05, + "loss": 4.1268, + "step": 2319 + }, + { + "epoch": 0.3, + "learning_rate": 4.12257550682628e-05, + "loss": 4.1182, + "step": 2320 + }, + { + "epoch": 0.3, + "learning_rate": 4.121786794618086e-05, + "loss": 4.0297, + "step": 2321 + }, + { + "epoch": 0.3, + "learning_rate": 4.120997803605939e-05, + "loss": 3.9609, + "step": 2322 + }, + { + "epoch": 0.3, + "learning_rate": 4.120208533925479e-05, + "loss": 4.1254, + "step": 2323 + }, + { + "epoch": 0.3, + "learning_rate": 4.119418985712388e-05, + "loss": 4.0165, + "step": 2324 + }, + { + "epoch": 0.3, + "learning_rate": 4.118629159102399e-05, + "loss": 4.14, + "step": 2325 + }, + { + "epoch": 0.3, + "learning_rate": 4.117839054231294e-05, + "loss": 3.9489, + "step": 2326 + }, + { + "epoch": 0.3, + "learning_rate": 4.117048671234899e-05, + "loss": 3.9607, + "step": 2327 + }, + { + "epoch": 0.3, + "learning_rate": 4.1162580102490915e-05, + "loss": 3.8879, + "step": 2328 + }, + { + "epoch": 0.3, + "learning_rate": 4.115467071409794e-05, + "loss": 3.987, + "step": 2329 + }, + { + "epoch": 0.3, + "learning_rate": 4.1146758548529804e-05, + "loss": 3.9462, + "step": 2330 + }, + { + "epoch": 0.3, + "learning_rate": 4.113884360714667e-05, + "loss": 3.9069, + "step": 2331 + }, + { + "epoch": 0.3, + "learning_rate": 4.113092589130923e-05, + "loss": 3.9834, + "step": 2332 + }, + { + "epoch": 0.3, + "learning_rate": 4.112300540237862e-05, + "loss": 3.9918, + "step": 2333 + }, + { + "epoch": 0.3, + "learning_rate": 4.1115082141716465e-05, + "loss": 4.1226, + "step": 2334 + }, + { + "epoch": 0.3, + "learning_rate": 4.1107156110684876e-05, + "loss": 4.0328, + "step": 2335 + }, + { + "epoch": 0.3, + "learning_rate": 4.1099227310646415e-05, + "loss": 4.018, + "step": 2336 + }, + { + "epoch": 0.3, + "learning_rate": 4.1091295742964145e-05, + "loss": 3.9185, + "step": 2337 + }, + { + "epoch": 0.3, + "learning_rate": 4.108336140900158e-05, + "loss": 4.0029, + "step": 2338 + }, + { + "epoch": 0.3, + "learning_rate": 4.1075424310122745e-05, + "loss": 3.886, + "step": 2339 + }, + { + "epoch": 0.3, + "learning_rate": 4.1067484447692104e-05, + "loss": 4.0685, + "step": 2340 + }, + { + "epoch": 0.3, + "learning_rate": 4.105954182307462e-05, + "loss": 4.0766, + "step": 2341 + }, + { + "epoch": 0.3, + "learning_rate": 4.105159643763572e-05, + "loss": 3.9781, + "step": 2342 + }, + { + "epoch": 0.3, + "learning_rate": 4.10436482927413e-05, + "loss": 4.02, + "step": 2343 + }, + { + "epoch": 0.3, + "learning_rate": 4.103569738975774e-05, + "loss": 3.9495, + "step": 2344 + }, + { + "epoch": 0.3, + "learning_rate": 4.102774373005191e-05, + "loss": 3.945, + "step": 2345 + }, + { + "epoch": 0.3, + "learning_rate": 4.1019787314991124e-05, + "loss": 4.0933, + "step": 2346 + }, + { + "epoch": 0.3, + "learning_rate": 4.101182814594316e-05, + "loss": 3.9914, + "step": 2347 + }, + { + "epoch": 0.3, + "learning_rate": 4.1003866224276336e-05, + "loss": 4.0366, + "step": 2348 + }, + { + "epoch": 0.3, + "learning_rate": 4.099590155135937e-05, + "loss": 4.0949, + "step": 2349 + }, + { + "epoch": 0.3, + "learning_rate": 4.0987934128561476e-05, + "loss": 3.9852, + "step": 2350 + }, + { + "epoch": 0.3, + "learning_rate": 4.0979963957252374e-05, + "loss": 3.8914, + "step": 2351 + }, + { + "epoch": 0.3, + "learning_rate": 4.0971991038802195e-05, + "loss": 3.9251, + "step": 2352 + }, + { + "epoch": 0.3, + "learning_rate": 4.09640153745816e-05, + "loss": 4.0728, + "step": 2353 + }, + { + "epoch": 0.3, + "learning_rate": 4.0956036965961697e-05, + "loss": 4.0954, + "step": 2354 + }, + { + "epoch": 0.3, + "learning_rate": 4.0948055814314055e-05, + "loss": 4.0337, + "step": 2355 + }, + { + "epoch": 0.3, + "learning_rate": 4.094007192101074e-05, + "loss": 4.0274, + "step": 2356 + }, + { + "epoch": 0.3, + "learning_rate": 4.093208528742426e-05, + "loss": 3.9875, + "step": 2357 + }, + { + "epoch": 0.3, + "learning_rate": 4.0924095914927615e-05, + "loss": 3.984, + "step": 2358 + }, + { + "epoch": 0.3, + "learning_rate": 4.091610380489429e-05, + "loss": 4.0125, + "step": 2359 + }, + { + "epoch": 0.3, + "learning_rate": 4.09081089586982e-05, + "loss": 4.1112, + "step": 2360 + }, + { + "epoch": 0.3, + "learning_rate": 4.0900111377713745e-05, + "loss": 4.1206, + "step": 2361 + }, + { + "epoch": 0.3, + "learning_rate": 4.089211106331583e-05, + "loss": 3.9609, + "step": 2362 + }, + { + "epoch": 0.3, + "learning_rate": 4.088410801687977e-05, + "loss": 4.0813, + "step": 2363 + }, + { + "epoch": 0.3, + "learning_rate": 4.087610223978141e-05, + "loss": 3.9321, + "step": 2364 + }, + { + "epoch": 0.3, + "learning_rate": 4.086809373339703e-05, + "loss": 4.0519, + "step": 2365 + }, + { + "epoch": 0.3, + "learning_rate": 4.086008249910336e-05, + "loss": 4.1293, + "step": 2366 + }, + { + "epoch": 0.3, + "learning_rate": 4.0852068538277655e-05, + "loss": 4.0333, + "step": 2367 + }, + { + "epoch": 0.3, + "learning_rate": 4.084405185229759e-05, + "loss": 4.0344, + "step": 2368 + }, + { + "epoch": 0.3, + "learning_rate": 4.0836032442541336e-05, + "loss": 4.0879, + "step": 2369 + }, + { + "epoch": 0.3, + "learning_rate": 4.082801031038751e-05, + "loss": 4.0343, + "step": 2370 + }, + { + "epoch": 0.3, + "learning_rate": 4.081998545721522e-05, + "loss": 3.9399, + "step": 2371 + }, + { + "epoch": 0.3, + "learning_rate": 4.081195788440404e-05, + "loss": 4.1394, + "step": 2372 + }, + { + "epoch": 0.3, + "learning_rate": 4.080392759333398e-05, + "loss": 3.8671, + "step": 2373 + }, + { + "epoch": 0.3, + "learning_rate": 4.079589458538556e-05, + "loss": 4.0657, + "step": 2374 + }, + { + "epoch": 0.3, + "learning_rate": 4.078785886193973e-05, + "loss": 3.9488, + "step": 2375 + }, + { + "epoch": 0.3, + "learning_rate": 4.0779820424377933e-05, + "loss": 3.9929, + "step": 2376 + }, + { + "epoch": 0.3, + "learning_rate": 4.077177927408208e-05, + "loss": 4.1683, + "step": 2377 + }, + { + "epoch": 0.3, + "learning_rate": 4.0763735412434525e-05, + "loss": 4.1171, + "step": 2378 + }, + { + "epoch": 0.3, + "learning_rate": 4.07556888408181e-05, + "loss": 3.9525, + "step": 2379 + }, + { + "epoch": 0.3, + "learning_rate": 4.0747639560616104e-05, + "loss": 4.0331, + "step": 2380 + }, + { + "epoch": 0.3, + "learning_rate": 4.073958757321231e-05, + "loss": 4.003, + "step": 2381 + }, + { + "epoch": 0.3, + "learning_rate": 4.073153287999094e-05, + "loss": 4.1316, + "step": 2382 + }, + { + "epoch": 0.31, + "learning_rate": 4.072347548233671e-05, + "loss": 4.0582, + "step": 2383 + }, + { + "epoch": 0.31, + "learning_rate": 4.0715415381634734e-05, + "loss": 3.9931, + "step": 2384 + }, + { + "epoch": 0.31, + "learning_rate": 4.070735257927068e-05, + "loss": 3.8935, + "step": 2385 + }, + { + "epoch": 0.31, + "learning_rate": 4.069928707663062e-05, + "loss": 3.9822, + "step": 2386 + }, + { + "epoch": 0.31, + "learning_rate": 4.069121887510111e-05, + "loss": 3.9506, + "step": 2387 + }, + { + "epoch": 0.31, + "learning_rate": 4.0683147976069166e-05, + "loss": 3.8885, + "step": 2388 + }, + { + "epoch": 0.31, + "learning_rate": 4.067507438092227e-05, + "loss": 3.9936, + "step": 2389 + }, + { + "epoch": 0.31, + "learning_rate": 4.0666998091048374e-05, + "loss": 4.0269, + "step": 2390 + }, + { + "epoch": 0.31, + "learning_rate": 4.0658919107835876e-05, + "loss": 3.9875, + "step": 2391 + }, + { + "epoch": 0.31, + "learning_rate": 4.065083743267365e-05, + "loss": 4.0329, + "step": 2392 + }, + { + "epoch": 0.31, + "learning_rate": 4.0642753066951024e-05, + "loss": 4.041, + "step": 2393 + }, + { + "epoch": 0.31, + "learning_rate": 4.06346660120578e-05, + "loss": 4.0444, + "step": 2394 + }, + { + "epoch": 0.31, + "learning_rate": 4.062657626938424e-05, + "loss": 3.9424, + "step": 2395 + }, + { + "epoch": 0.31, + "learning_rate": 4.0618483840321056e-05, + "loss": 3.8889, + "step": 2396 + }, + { + "epoch": 0.31, + "learning_rate": 4.061038872625944e-05, + "loss": 3.9966, + "step": 2397 + }, + { + "epoch": 0.31, + "learning_rate": 4.060229092859103e-05, + "loss": 3.9716, + "step": 2398 + }, + { + "epoch": 0.31, + "learning_rate": 4.059419044870792e-05, + "loss": 3.8737, + "step": 2399 + }, + { + "epoch": 0.31, + "learning_rate": 4.058608728800271e-05, + "loss": 3.9689, + "step": 2400 + }, + { + "epoch": 0.31, + "learning_rate": 4.05779814478684e-05, + "loss": 4.0282, + "step": 2401 + }, + { + "epoch": 0.31, + "learning_rate": 4.056987292969847e-05, + "loss": 3.9443, + "step": 2402 + }, + { + "epoch": 0.31, + "learning_rate": 4.056176173488689e-05, + "loss": 3.9992, + "step": 2403 + }, + { + "epoch": 0.31, + "learning_rate": 4.055364786482806e-05, + "loss": 3.9279, + "step": 2404 + }, + { + "epoch": 0.31, + "learning_rate": 4.054553132091685e-05, + "loss": 4.0451, + "step": 2405 + }, + { + "epoch": 0.31, + "learning_rate": 4.053741210454859e-05, + "loss": 3.8433, + "step": 2406 + }, + { + "epoch": 0.31, + "learning_rate": 4.052929021711905e-05, + "loss": 4.1182, + "step": 2407 + }, + { + "epoch": 0.31, + "learning_rate": 4.052116566002451e-05, + "loss": 4.1806, + "step": 2408 + }, + { + "epoch": 0.31, + "learning_rate": 4.0513038434661646e-05, + "loss": 3.9977, + "step": 2409 + }, + { + "epoch": 0.31, + "learning_rate": 4.0504908542427635e-05, + "loss": 3.8967, + "step": 2410 + }, + { + "epoch": 0.31, + "learning_rate": 4.049677598472009e-05, + "loss": 3.9901, + "step": 2411 + }, + { + "epoch": 0.31, + "learning_rate": 4.0488640762937104e-05, + "loss": 4.0892, + "step": 2412 + }, + { + "epoch": 0.31, + "learning_rate": 4.0480502878477214e-05, + "loss": 3.9716, + "step": 2413 + }, + { + "epoch": 0.31, + "learning_rate": 4.047236233273941e-05, + "loss": 4.1297, + "step": 2414 + }, + { + "epoch": 0.31, + "learning_rate": 4.046421912712315e-05, + "loss": 4.0965, + "step": 2415 + }, + { + "epoch": 0.31, + "learning_rate": 4.045607326302835e-05, + "loss": 4.0088, + "step": 2416 + }, + { + "epoch": 0.31, + "learning_rate": 4.044792474185537e-05, + "loss": 4.0705, + "step": 2417 + }, + { + "epoch": 0.31, + "learning_rate": 4.043977356500503e-05, + "loss": 3.9461, + "step": 2418 + }, + { + "epoch": 0.31, + "learning_rate": 4.043161973387864e-05, + "loss": 3.9393, + "step": 2419 + }, + { + "epoch": 0.31, + "learning_rate": 4.042346324987791e-05, + "loss": 3.8314, + "step": 2420 + }, + { + "epoch": 0.31, + "learning_rate": 4.041530411440504e-05, + "loss": 4.0657, + "step": 2421 + }, + { + "epoch": 0.31, + "learning_rate": 4.040714232886269e-05, + "loss": 4.044, + "step": 2422 + }, + { + "epoch": 0.31, + "learning_rate": 4.0398977894653954e-05, + "loss": 3.9514, + "step": 2423 + }, + { + "epoch": 0.31, + "learning_rate": 4.03908108131824e-05, + "loss": 4.1012, + "step": 2424 + }, + { + "epoch": 0.31, + "learning_rate": 4.038264108585204e-05, + "loss": 4.0, + "step": 2425 + }, + { + "epoch": 0.31, + "learning_rate": 4.0374468714067345e-05, + "loss": 3.9835, + "step": 2426 + }, + { + "epoch": 0.31, + "learning_rate": 4.036629369923325e-05, + "loss": 3.9907, + "step": 2427 + }, + { + "epoch": 0.31, + "learning_rate": 4.035811604275512e-05, + "loss": 3.9199, + "step": 2428 + }, + { + "epoch": 0.31, + "learning_rate": 4.034993574603879e-05, + "loss": 4.0577, + "step": 2429 + }, + { + "epoch": 0.31, + "learning_rate": 4.0341752810490566e-05, + "loss": 3.9226, + "step": 2430 + }, + { + "epoch": 0.31, + "learning_rate": 4.0333567237517165e-05, + "loss": 3.9824, + "step": 2431 + }, + { + "epoch": 0.31, + "learning_rate": 4.03253790285258e-05, + "loss": 4.0151, + "step": 2432 + }, + { + "epoch": 0.31, + "learning_rate": 4.031718818492411e-05, + "loss": 3.9519, + "step": 2433 + }, + { + "epoch": 0.31, + "learning_rate": 4.030899470812021e-05, + "loss": 3.9568, + "step": 2434 + }, + { + "epoch": 0.31, + "learning_rate": 4.030079859952263e-05, + "loss": 3.9211, + "step": 2435 + }, + { + "epoch": 0.31, + "learning_rate": 4.029259986054039e-05, + "loss": 4.0459, + "step": 2436 + }, + { + "epoch": 0.31, + "learning_rate": 4.0284398492582955e-05, + "loss": 4.0176, + "step": 2437 + }, + { + "epoch": 0.31, + "learning_rate": 4.027619449706023e-05, + "loss": 4.0325, + "step": 2438 + }, + { + "epoch": 0.31, + "learning_rate": 4.026798787538256e-05, + "loss": 3.9146, + "step": 2439 + }, + { + "epoch": 0.31, + "learning_rate": 4.0259778628960775e-05, + "loss": 3.8974, + "step": 2440 + }, + { + "epoch": 0.31, + "learning_rate": 4.025156675920614e-05, + "loss": 4.0489, + "step": 2441 + }, + { + "epoch": 0.31, + "learning_rate": 4.024335226753037e-05, + "loss": 3.9787, + "step": 2442 + }, + { + "epoch": 0.31, + "learning_rate": 4.0235135155345625e-05, + "loss": 3.8674, + "step": 2443 + }, + { + "epoch": 0.31, + "learning_rate": 4.022691542406453e-05, + "loss": 4.044, + "step": 2444 + }, + { + "epoch": 0.31, + "learning_rate": 4.0218693075100146e-05, + "loss": 3.9713, + "step": 2445 + }, + { + "epoch": 0.31, + "learning_rate": 4.0210468109866e-05, + "loss": 3.9982, + "step": 2446 + }, + { + "epoch": 0.31, + "learning_rate": 4.020224052977604e-05, + "loss": 4.1073, + "step": 2447 + }, + { + "epoch": 0.31, + "learning_rate": 4.01940103362447e-05, + "loss": 3.9844, + "step": 2448 + }, + { + "epoch": 0.31, + "learning_rate": 4.018577753068683e-05, + "loss": 3.9327, + "step": 2449 + }, + { + "epoch": 0.31, + "learning_rate": 4.0177542114517765e-05, + "loss": 4.1052, + "step": 2450 + }, + { + "epoch": 0.31, + "learning_rate": 4.016930408915325e-05, + "loss": 4.0251, + "step": 2451 + }, + { + "epoch": 0.31, + "learning_rate": 4.016106345600951e-05, + "loss": 3.8723, + "step": 2452 + }, + { + "epoch": 0.31, + "learning_rate": 4.0152820216503194e-05, + "loss": 4.0796, + "step": 2453 + }, + { + "epoch": 0.31, + "learning_rate": 4.014457437205142e-05, + "loss": 4.05, + "step": 2454 + }, + { + "epoch": 0.31, + "learning_rate": 4.013632592407174e-05, + "loss": 3.8259, + "step": 2455 + }, + { + "epoch": 0.31, + "learning_rate": 4.0128074873982156e-05, + "loss": 3.9702, + "step": 2456 + }, + { + "epoch": 0.31, + "learning_rate": 4.011982122320113e-05, + "loss": 3.8826, + "step": 2457 + }, + { + "epoch": 0.31, + "learning_rate": 4.011156497314754e-05, + "loss": 3.8481, + "step": 2458 + }, + { + "epoch": 0.31, + "learning_rate": 4.010330612524075e-05, + "loss": 4.1546, + "step": 2459 + }, + { + "epoch": 0.31, + "learning_rate": 4.009504468090054e-05, + "loss": 4.0407, + "step": 2460 + }, + { + "epoch": 0.32, + "learning_rate": 4.0086780641547155e-05, + "loss": 4.0721, + "step": 2461 + }, + { + "epoch": 0.32, + "learning_rate": 4.007851400860128e-05, + "loss": 3.9862, + "step": 2462 + }, + { + "epoch": 0.32, + "learning_rate": 4.007024478348403e-05, + "loss": 3.9038, + "step": 2463 + }, + { + "epoch": 0.32, + "learning_rate": 4.006197296761701e-05, + "loss": 3.934, + "step": 2464 + }, + { + "epoch": 0.32, + "learning_rate": 4.005369856242221e-05, + "loss": 4.0438, + "step": 2465 + }, + { + "epoch": 0.32, + "learning_rate": 4.0045421569322115e-05, + "loss": 3.9938, + "step": 2466 + }, + { + "epoch": 0.32, + "learning_rate": 4.003714198973963e-05, + "loss": 4.0774, + "step": 2467 + }, + { + "epoch": 0.32, + "learning_rate": 4.002885982509811e-05, + "loss": 3.9224, + "step": 2468 + }, + { + "epoch": 0.32, + "learning_rate": 4.002057507682136e-05, + "loss": 4.1385, + "step": 2469 + }, + { + "epoch": 0.32, + "learning_rate": 4.001228774633362e-05, + "loss": 4.0157, + "step": 2470 + }, + { + "epoch": 0.32, + "learning_rate": 4.000399783505958e-05, + "loss": 4.011, + "step": 2471 + }, + { + "epoch": 0.32, + "learning_rate": 3.999570534442436e-05, + "loss": 3.9913, + "step": 2472 + }, + { + "epoch": 0.32, + "learning_rate": 3.998741027585356e-05, + "loss": 4.0256, + "step": 2473 + }, + { + "epoch": 0.32, + "learning_rate": 3.997911263077318e-05, + "loss": 3.9869, + "step": 2474 + }, + { + "epoch": 0.32, + "learning_rate": 3.9970812410609683e-05, + "loss": 4.0654, + "step": 2475 + }, + { + "epoch": 0.32, + "learning_rate": 3.9962509616789985e-05, + "loss": 3.833, + "step": 2476 + }, + { + "epoch": 0.32, + "learning_rate": 3.995420425074141e-05, + "loss": 3.9215, + "step": 2477 + }, + { + "epoch": 0.32, + "learning_rate": 3.994589631389177e-05, + "loss": 3.8649, + "step": 2478 + }, + { + "epoch": 0.32, + "learning_rate": 3.993758580766929e-05, + "loss": 3.9458, + "step": 2479 + }, + { + "epoch": 0.32, + "learning_rate": 3.992927273350263e-05, + "loss": 4.0445, + "step": 2480 + }, + { + "epoch": 0.32, + "learning_rate": 3.992095709282091e-05, + "loss": 3.9512, + "step": 2481 + }, + { + "epoch": 0.32, + "learning_rate": 3.991263888705369e-05, + "loss": 4.0518, + "step": 2482 + }, + { + "epoch": 0.32, + "learning_rate": 3.990431811763097e-05, + "loss": 4.1869, + "step": 2483 + }, + { + "epoch": 0.32, + "learning_rate": 3.989599478598317e-05, + "loss": 3.9221, + "step": 2484 + }, + { + "epoch": 0.32, + "learning_rate": 3.988766889354118e-05, + "loss": 3.999, + "step": 2485 + }, + { + "epoch": 0.32, + "learning_rate": 3.9879340441736314e-05, + "loss": 4.0878, + "step": 2486 + }, + { + "epoch": 0.32, + "learning_rate": 3.9871009432000325e-05, + "loss": 4.137, + "step": 2487 + }, + { + "epoch": 0.32, + "learning_rate": 3.986267586576543e-05, + "loss": 4.058, + "step": 2488 + }, + { + "epoch": 0.32, + "learning_rate": 3.985433974446424e-05, + "loss": 4.0028, + "step": 2489 + }, + { + "epoch": 0.32, + "learning_rate": 3.9846001069529845e-05, + "loss": 3.8963, + "step": 2490 + }, + { + "epoch": 0.32, + "learning_rate": 3.983765984239576e-05, + "loss": 4.0695, + "step": 2491 + }, + { + "epoch": 0.32, + "learning_rate": 3.9829316064495927e-05, + "loss": 4.0957, + "step": 2492 + }, + { + "epoch": 0.32, + "learning_rate": 3.982096973726475e-05, + "loss": 4.0015, + "step": 2493 + }, + { + "epoch": 0.32, + "learning_rate": 3.9812620862137056e-05, + "loss": 3.8944, + "step": 2494 + }, + { + "epoch": 0.32, + "learning_rate": 3.9804269440548114e-05, + "loss": 3.8501, + "step": 2495 + }, + { + "epoch": 0.32, + "learning_rate": 3.979591547393363e-05, + "loss": 4.0651, + "step": 2496 + }, + { + "epoch": 0.32, + "learning_rate": 3.9787558963729744e-05, + "loss": 3.9094, + "step": 2497 + }, + { + "epoch": 0.32, + "learning_rate": 3.977919991137304e-05, + "loss": 4.0215, + "step": 2498 + }, + { + "epoch": 0.32, + "learning_rate": 3.977083831830054e-05, + "loss": 3.9588, + "step": 2499 + }, + { + "epoch": 0.32, + "learning_rate": 3.976247418594969e-05, + "loss": 3.9731, + "step": 2500 + }, + { + "epoch": 0.32, + "learning_rate": 3.975410751575839e-05, + "loss": 4.2002, + "step": 2501 + }, + { + "epoch": 0.32, + "learning_rate": 3.974573830916496e-05, + "loss": 4.0774, + "step": 2502 + }, + { + "epoch": 0.32, + "learning_rate": 3.973736656760817e-05, + "loss": 4.1509, + "step": 2503 + }, + { + "epoch": 0.32, + "learning_rate": 3.972899229252721e-05, + "loss": 3.8998, + "step": 2504 + }, + { + "epoch": 0.32, + "learning_rate": 3.972061548536173e-05, + "loss": 4.1663, + "step": 2505 + }, + { + "epoch": 0.32, + "learning_rate": 3.97122361475518e-05, + "loss": 3.8962, + "step": 2506 + }, + { + "epoch": 0.32, + "learning_rate": 3.97038542805379e-05, + "loss": 4.0651, + "step": 2507 + }, + { + "epoch": 0.32, + "learning_rate": 3.9695469885761e-05, + "loss": 3.9931, + "step": 2508 + }, + { + "epoch": 0.32, + "learning_rate": 3.968708296466245e-05, + "loss": 3.987, + "step": 2509 + }, + { + "epoch": 0.32, + "learning_rate": 3.9678693518684085e-05, + "loss": 4.0049, + "step": 2510 + }, + { + "epoch": 0.32, + "learning_rate": 3.967030154926813e-05, + "loss": 3.9862, + "step": 2511 + }, + { + "epoch": 0.32, + "learning_rate": 3.966190705785726e-05, + "loss": 3.948, + "step": 2512 + }, + { + "epoch": 0.32, + "learning_rate": 3.965351004589459e-05, + "loss": 4.0564, + "step": 2513 + }, + { + "epoch": 0.32, + "learning_rate": 3.9645110514823676e-05, + "loss": 3.9995, + "step": 2514 + }, + { + "epoch": 0.32, + "learning_rate": 3.963670846608848e-05, + "loss": 4.1633, + "step": 2515 + }, + { + "epoch": 0.32, + "learning_rate": 3.962830390113341e-05, + "loss": 4.0183, + "step": 2516 + }, + { + "epoch": 0.32, + "learning_rate": 3.961989682140332e-05, + "loss": 3.9584, + "step": 2517 + }, + { + "epoch": 0.32, + "learning_rate": 3.961148722834347e-05, + "loss": 3.9625, + "step": 2518 + }, + { + "epoch": 0.32, + "learning_rate": 3.960307512339958e-05, + "loss": 4.0165, + "step": 2519 + }, + { + "epoch": 0.32, + "learning_rate": 3.959466050801778e-05, + "loss": 4.1305, + "step": 2520 + }, + { + "epoch": 0.32, + "learning_rate": 3.958624338364464e-05, + "loss": 4.0612, + "step": 2521 + }, + { + "epoch": 0.32, + "learning_rate": 3.957782375172718e-05, + "loss": 4.2473, + "step": 2522 + }, + { + "epoch": 0.32, + "learning_rate": 3.95694016137128e-05, + "loss": 4.073, + "step": 2523 + }, + { + "epoch": 0.32, + "learning_rate": 3.956097697104938e-05, + "loss": 3.9635, + "step": 2524 + }, + { + "epoch": 0.32, + "learning_rate": 3.955254982518523e-05, + "loss": 3.9942, + "step": 2525 + }, + { + "epoch": 0.32, + "learning_rate": 3.954412017756905e-05, + "loss": 3.9731, + "step": 2526 + }, + { + "epoch": 0.32, + "learning_rate": 3.9535688029649984e-05, + "loss": 3.9699, + "step": 2527 + }, + { + "epoch": 0.32, + "learning_rate": 3.952725338287765e-05, + "loss": 4.0129, + "step": 2528 + }, + { + "epoch": 0.32, + "learning_rate": 3.951881623870204e-05, + "loss": 4.0386, + "step": 2529 + }, + { + "epoch": 0.32, + "learning_rate": 3.951037659857361e-05, + "loss": 4.0834, + "step": 2530 + }, + { + "epoch": 0.32, + "learning_rate": 3.950193446394321e-05, + "loss": 4.1521, + "step": 2531 + }, + { + "epoch": 0.32, + "learning_rate": 3.9493489836262165e-05, + "loss": 4.027, + "step": 2532 + }, + { + "epoch": 0.32, + "learning_rate": 3.948504271698219e-05, + "loss": 4.0898, + "step": 2533 + }, + { + "epoch": 0.32, + "learning_rate": 3.9476593107555446e-05, + "loss": 4.0042, + "step": 2534 + }, + { + "epoch": 0.32, + "learning_rate": 3.946814100943453e-05, + "loss": 4.0894, + "step": 2535 + }, + { + "epoch": 0.32, + "learning_rate": 3.945968642407244e-05, + "loss": 3.9374, + "step": 2536 + }, + { + "epoch": 0.32, + "learning_rate": 3.945122935292261e-05, + "loss": 3.9464, + "step": 2537 + }, + { + "epoch": 0.32, + "learning_rate": 3.944276979743894e-05, + "loss": 4.1095, + "step": 2538 + }, + { + "epoch": 0.32, + "learning_rate": 3.943430775907569e-05, + "loss": 3.9341, + "step": 2539 + }, + { + "epoch": 0.33, + "learning_rate": 3.9425843239287616e-05, + "loss": 4.0002, + "step": 2540 + }, + { + "epoch": 0.33, + "learning_rate": 3.9417376239529846e-05, + "loss": 4.0351, + "step": 2541 + }, + { + "epoch": 0.33, + "learning_rate": 3.940890676125796e-05, + "loss": 3.9905, + "step": 2542 + }, + { + "epoch": 0.33, + "learning_rate": 3.940043480592795e-05, + "loss": 4.0879, + "step": 2543 + }, + { + "epoch": 0.33, + "learning_rate": 3.939196037499626e-05, + "loss": 3.9574, + "step": 2544 + }, + { + "epoch": 0.33, + "learning_rate": 3.938348346991974e-05, + "loss": 4.0578, + "step": 2545 + }, + { + "epoch": 0.33, + "learning_rate": 3.937500409215565e-05, + "loss": 3.8804, + "step": 2546 + }, + { + "epoch": 0.33, + "learning_rate": 3.9366522243161716e-05, + "loss": 3.9145, + "step": 2547 + }, + { + "epoch": 0.33, + "learning_rate": 3.935803792439606e-05, + "loss": 3.9426, + "step": 2548 + }, + { + "epoch": 0.33, + "learning_rate": 3.9349551137317234e-05, + "loss": 4.071, + "step": 2549 + }, + { + "epoch": 0.33, + "learning_rate": 3.93410618833842e-05, + "loss": 4.1068, + "step": 2550 + }, + { + "epoch": 0.33, + "learning_rate": 3.933257016405638e-05, + "loss": 3.8902, + "step": 2551 + }, + { + "epoch": 0.33, + "learning_rate": 3.932407598079359e-05, + "loss": 3.9334, + "step": 2552 + }, + { + "epoch": 0.33, + "learning_rate": 3.931557933505608e-05, + "loss": 3.8769, + "step": 2553 + }, + { + "epoch": 0.33, + "learning_rate": 3.9307080228304524e-05, + "loss": 4.1245, + "step": 2554 + }, + { + "epoch": 0.33, + "learning_rate": 3.929857866200002e-05, + "loss": 3.8949, + "step": 2555 + }, + { + "epoch": 0.33, + "learning_rate": 3.9290074637604065e-05, + "loss": 4.0261, + "step": 2556 + }, + { + "epoch": 0.33, + "learning_rate": 3.928156815657863e-05, + "loss": 4.0112, + "step": 2557 + }, + { + "epoch": 0.33, + "learning_rate": 3.927305922038606e-05, + "loss": 4.1421, + "step": 2558 + }, + { + "epoch": 0.33, + "learning_rate": 3.926454783048914e-05, + "loss": 3.9642, + "step": 2559 + }, + { + "epoch": 0.33, + "learning_rate": 3.925603398835108e-05, + "loss": 3.8941, + "step": 2560 + }, + { + "epoch": 0.33, + "learning_rate": 3.924751769543551e-05, + "loss": 3.8678, + "step": 2561 + }, + { + "epoch": 0.33, + "learning_rate": 3.923899895320648e-05, + "loss": 3.9093, + "step": 2562 + }, + { + "epoch": 0.33, + "learning_rate": 3.9230477763128446e-05, + "loss": 4.0013, + "step": 2563 + }, + { + "epoch": 0.33, + "learning_rate": 3.9221954126666316e-05, + "loss": 4.0887, + "step": 2564 + }, + { + "epoch": 0.33, + "learning_rate": 3.9213428045285386e-05, + "loss": 3.9528, + "step": 2565 + }, + { + "epoch": 0.33, + "learning_rate": 3.920489952045141e-05, + "loss": 3.9334, + "step": 2566 + }, + { + "epoch": 0.33, + "learning_rate": 3.9196368553630535e-05, + "loss": 3.9206, + "step": 2567 + }, + { + "epoch": 0.33, + "learning_rate": 3.918783514628932e-05, + "loss": 4.0183, + "step": 2568 + }, + { + "epoch": 0.33, + "learning_rate": 3.9179299299894756e-05, + "loss": 3.9048, + "step": 2569 + }, + { + "epoch": 0.33, + "learning_rate": 3.917076101591427e-05, + "loss": 4.1194, + "step": 2570 + }, + { + "epoch": 0.33, + "learning_rate": 3.916222029581569e-05, + "loss": 4.0218, + "step": 2571 + }, + { + "epoch": 0.33, + "learning_rate": 3.9153677141067254e-05, + "loss": 3.88, + "step": 2572 + }, + { + "epoch": 0.33, + "learning_rate": 3.914513155313763e-05, + "loss": 4.0784, + "step": 2573 + }, + { + "epoch": 0.33, + "learning_rate": 3.913658353349591e-05, + "loss": 3.9388, + "step": 2574 + }, + { + "epoch": 0.33, + "learning_rate": 3.912803308361159e-05, + "loss": 4.0808, + "step": 2575 + }, + { + "epoch": 0.33, + "learning_rate": 3.9119480204954606e-05, + "loss": 3.9813, + "step": 2576 + }, + { + "epoch": 0.33, + "learning_rate": 3.9110924898995285e-05, + "loss": 4.031, + "step": 2577 + }, + { + "epoch": 0.33, + "learning_rate": 3.910236716720438e-05, + "loss": 3.9379, + "step": 2578 + }, + { + "epoch": 0.33, + "learning_rate": 3.9093807011053076e-05, + "loss": 4.0559, + "step": 2579 + }, + { + "epoch": 0.33, + "learning_rate": 3.9085244432012956e-05, + "loss": 3.8663, + "step": 2580 + }, + { + "epoch": 0.33, + "learning_rate": 3.907667943155603e-05, + "loss": 3.9931, + "step": 2581 + }, + { + "epoch": 0.33, + "learning_rate": 3.906811201115472e-05, + "loss": 4.0304, + "step": 2582 + }, + { + "epoch": 0.33, + "learning_rate": 3.905954217228186e-05, + "loss": 3.876, + "step": 2583 + }, + { + "epoch": 0.33, + "learning_rate": 3.905096991641071e-05, + "loss": 3.9445, + "step": 2584 + }, + { + "epoch": 0.33, + "learning_rate": 3.9042395245014936e-05, + "loss": 4.0523, + "step": 2585 + }, + { + "epoch": 0.33, + "learning_rate": 3.903381815956862e-05, + "loss": 3.9492, + "step": 2586 + }, + { + "epoch": 0.33, + "learning_rate": 3.902523866154628e-05, + "loss": 3.9136, + "step": 2587 + }, + { + "epoch": 0.33, + "learning_rate": 3.901665675242281e-05, + "loss": 3.9616, + "step": 2588 + }, + { + "epoch": 0.33, + "learning_rate": 3.900807243367356e-05, + "loss": 3.8675, + "step": 2589 + }, + { + "epoch": 0.33, + "learning_rate": 3.899948570677426e-05, + "loss": 3.9144, + "step": 2590 + }, + { + "epoch": 0.33, + "learning_rate": 3.899089657320107e-05, + "loss": 3.9793, + "step": 2591 + }, + { + "epoch": 0.33, + "learning_rate": 3.8982305034430556e-05, + "loss": 3.8605, + "step": 2592 + }, + { + "epoch": 0.33, + "learning_rate": 3.897371109193972e-05, + "loss": 4.016, + "step": 2593 + }, + { + "epoch": 0.33, + "learning_rate": 3.896511474720594e-05, + "loss": 3.951, + "step": 2594 + }, + { + "epoch": 0.33, + "learning_rate": 3.895651600170705e-05, + "loss": 4.1466, + "step": 2595 + }, + { + "epoch": 0.33, + "learning_rate": 3.8947914856921256e-05, + "loss": 3.9791, + "step": 2596 + }, + { + "epoch": 0.33, + "learning_rate": 3.893931131432719e-05, + "loss": 3.9273, + "step": 2597 + }, + { + "epoch": 0.33, + "learning_rate": 3.893070537540393e-05, + "loss": 4.0022, + "step": 2598 + }, + { + "epoch": 0.33, + "learning_rate": 3.89220970416309e-05, + "loss": 3.9857, + "step": 2599 + }, + { + "epoch": 0.33, + "learning_rate": 3.8913486314488e-05, + "loss": 3.9638, + "step": 2600 + }, + { + "epoch": 0.33, + "learning_rate": 3.89048731954555e-05, + "loss": 4.0134, + "step": 2601 + }, + { + "epoch": 0.33, + "learning_rate": 3.889625768601409e-05, + "loss": 3.9082, + "step": 2602 + }, + { + "epoch": 0.33, + "learning_rate": 3.88876397876449e-05, + "loss": 4.0254, + "step": 2603 + }, + { + "epoch": 0.33, + "learning_rate": 3.8879019501829423e-05, + "loss": 3.9904, + "step": 2604 + }, + { + "epoch": 0.33, + "learning_rate": 3.887039683004959e-05, + "loss": 4.0127, + "step": 2605 + }, + { + "epoch": 0.33, + "learning_rate": 3.886177177378775e-05, + "loss": 3.9881, + "step": 2606 + }, + { + "epoch": 0.33, + "learning_rate": 3.885314433452664e-05, + "loss": 3.9437, + "step": 2607 + }, + { + "epoch": 0.33, + "learning_rate": 3.8844514513749425e-05, + "loss": 3.8951, + "step": 2608 + }, + { + "epoch": 0.33, + "learning_rate": 3.883588231293966e-05, + "loss": 3.9882, + "step": 2609 + }, + { + "epoch": 0.33, + "learning_rate": 3.882724773358133e-05, + "loss": 3.8557, + "step": 2610 + }, + { + "epoch": 0.33, + "learning_rate": 3.88186107771588e-05, + "loss": 3.9958, + "step": 2611 + }, + { + "epoch": 0.33, + "learning_rate": 3.88099714451569e-05, + "loss": 3.9852, + "step": 2612 + }, + { + "epoch": 0.33, + "learning_rate": 3.88013297390608e-05, + "loss": 3.9906, + "step": 2613 + }, + { + "epoch": 0.33, + "learning_rate": 3.879268566035612e-05, + "loss": 3.9286, + "step": 2614 + }, + { + "epoch": 0.33, + "learning_rate": 3.8784039210528874e-05, + "loss": 3.9916, + "step": 2615 + }, + { + "epoch": 0.33, + "learning_rate": 3.877539039106549e-05, + "loss": 3.9688, + "step": 2616 + }, + { + "epoch": 0.33, + "learning_rate": 3.8766739203452804e-05, + "loss": 4.01, + "step": 2617 + }, + { + "epoch": 0.34, + "learning_rate": 3.875808564917804e-05, + "loss": 4.0137, + "step": 2618 + }, + { + "epoch": 0.34, + "learning_rate": 3.874942972972887e-05, + "loss": 3.9916, + "step": 2619 + }, + { + "epoch": 0.34, + "learning_rate": 3.8740771446593325e-05, + "loss": 4.0959, + "step": 2620 + }, + { + "epoch": 0.34, + "learning_rate": 3.873211080125987e-05, + "loss": 3.9526, + "step": 2621 + }, + { + "epoch": 0.34, + "learning_rate": 3.872344779521738e-05, + "loss": 4.0169, + "step": 2622 + }, + { + "epoch": 0.34, + "learning_rate": 3.871478242995511e-05, + "loss": 3.9258, + "step": 2623 + }, + { + "epoch": 0.34, + "learning_rate": 3.870611470696275e-05, + "loss": 3.8121, + "step": 2624 + }, + { + "epoch": 0.34, + "learning_rate": 3.869744462773037e-05, + "loss": 4.0563, + "step": 2625 + }, + { + "epoch": 0.34, + "learning_rate": 3.868877219374847e-05, + "loss": 3.9595, + "step": 2626 + }, + { + "epoch": 0.34, + "learning_rate": 3.868009740650794e-05, + "loss": 4.036, + "step": 2627 + }, + { + "epoch": 0.34, + "learning_rate": 3.867142026750007e-05, + "loss": 3.989, + "step": 2628 + }, + { + "epoch": 0.34, + "learning_rate": 3.8662740778216556e-05, + "loss": 4.0898, + "step": 2629 + }, + { + "epoch": 0.34, + "learning_rate": 3.8654058940149514e-05, + "loss": 3.9692, + "step": 2630 + }, + { + "epoch": 0.34, + "learning_rate": 3.864537475479145e-05, + "loss": 4.0561, + "step": 2631 + }, + { + "epoch": 0.34, + "learning_rate": 3.8636688223635275e-05, + "loss": 4.0797, + "step": 2632 + }, + { + "epoch": 0.34, + "learning_rate": 3.86279993481743e-05, + "loss": 3.9211, + "step": 2633 + }, + { + "epoch": 0.34, + "learning_rate": 3.861930812990225e-05, + "loss": 4.0625, + "step": 2634 + }, + { + "epoch": 0.34, + "learning_rate": 3.8610614570313244e-05, + "loss": 3.9245, + "step": 2635 + }, + { + "epoch": 0.34, + "learning_rate": 3.860191867090181e-05, + "loss": 4.0171, + "step": 2636 + }, + { + "epoch": 0.34, + "learning_rate": 3.859322043316287e-05, + "loss": 4.0063, + "step": 2637 + }, + { + "epoch": 0.34, + "learning_rate": 3.858451985859175e-05, + "loss": 4.0303, + "step": 2638 + }, + { + "epoch": 0.34, + "learning_rate": 3.857581694868417e-05, + "loss": 3.9769, + "step": 2639 + }, + { + "epoch": 0.34, + "learning_rate": 3.856711170493629e-05, + "loss": 3.8314, + "step": 2640 + }, + { + "epoch": 0.34, + "learning_rate": 3.8558404128844605e-05, + "loss": 3.9529, + "step": 2641 + }, + { + "epoch": 0.34, + "learning_rate": 3.854969422190608e-05, + "loss": 4.0267, + "step": 2642 + }, + { + "epoch": 0.34, + "learning_rate": 3.854098198561804e-05, + "loss": 3.9314, + "step": 2643 + }, + { + "epoch": 0.34, + "learning_rate": 3.853226742147821e-05, + "loss": 4.0589, + "step": 2644 + }, + { + "epoch": 0.34, + "learning_rate": 3.852355053098473e-05, + "loss": 3.9559, + "step": 2645 + }, + { + "epoch": 0.34, + "learning_rate": 3.851483131563613e-05, + "loss": 3.9627, + "step": 2646 + }, + { + "epoch": 0.34, + "learning_rate": 3.850610977693137e-05, + "loss": 3.9351, + "step": 2647 + }, + { + "epoch": 0.34, + "learning_rate": 3.8497385916369744e-05, + "loss": 4.0261, + "step": 2648 + }, + { + "epoch": 0.34, + "learning_rate": 3.8488659735451004e-05, + "loss": 3.953, + "step": 2649 + }, + { + "epoch": 0.34, + "learning_rate": 3.847993123567529e-05, + "loss": 3.9981, + "step": 2650 + }, + { + "epoch": 0.34, + "learning_rate": 3.847120041854312e-05, + "loss": 4.01, + "step": 2651 + }, + { + "epoch": 0.34, + "learning_rate": 3.846246728555542e-05, + "loss": 4.0771, + "step": 2652 + }, + { + "epoch": 0.34, + "learning_rate": 3.845373183821354e-05, + "loss": 3.9237, + "step": 2653 + }, + { + "epoch": 0.34, + "learning_rate": 3.844499407801918e-05, + "loss": 3.9294, + "step": 2654 + }, + { + "epoch": 0.34, + "learning_rate": 3.8436254006474467e-05, + "loss": 4.1266, + "step": 2655 + }, + { + "epoch": 0.34, + "learning_rate": 3.8427511625081924e-05, + "loss": 4.0774, + "step": 2656 + }, + { + "epoch": 0.34, + "learning_rate": 3.8418766935344466e-05, + "loss": 4.1343, + "step": 2657 + }, + { + "epoch": 0.34, + "learning_rate": 3.8410019938765415e-05, + "loss": 4.023, + "step": 2658 + }, + { + "epoch": 0.34, + "learning_rate": 3.8401270636848476e-05, + "loss": 4.0536, + "step": 2659 + }, + { + "epoch": 0.34, + "learning_rate": 3.8392519031097745e-05, + "loss": 3.9264, + "step": 2660 + }, + { + "epoch": 0.34, + "learning_rate": 3.838376512301773e-05, + "loss": 3.893, + "step": 2661 + }, + { + "epoch": 0.34, + "learning_rate": 3.837500891411334e-05, + "loss": 4.1039, + "step": 2662 + }, + { + "epoch": 0.34, + "learning_rate": 3.836625040588986e-05, + "loss": 4.0231, + "step": 2663 + }, + { + "epoch": 0.34, + "learning_rate": 3.835748959985299e-05, + "loss": 3.9604, + "step": 2664 + }, + { + "epoch": 0.34, + "learning_rate": 3.834872649750879e-05, + "loss": 3.8627, + "step": 2665 + }, + { + "epoch": 0.34, + "learning_rate": 3.833996110036375e-05, + "loss": 3.8998, + "step": 2666 + }, + { + "epoch": 0.34, + "learning_rate": 3.833119340992476e-05, + "loss": 4.0249, + "step": 2667 + }, + { + "epoch": 0.34, + "learning_rate": 3.8322423427699075e-05, + "loss": 4.0033, + "step": 2668 + }, + { + "epoch": 0.34, + "learning_rate": 3.8313651155194344e-05, + "loss": 3.9575, + "step": 2669 + }, + { + "epoch": 0.34, + "learning_rate": 3.8304876593918646e-05, + "loss": 3.9915, + "step": 2670 + }, + { + "epoch": 0.34, + "learning_rate": 3.8296099745380406e-05, + "loss": 4.0102, + "step": 2671 + }, + { + "epoch": 0.34, + "learning_rate": 3.828732061108849e-05, + "loss": 3.9588, + "step": 2672 + }, + { + "epoch": 0.34, + "learning_rate": 3.827853919255211e-05, + "loss": 3.9009, + "step": 2673 + }, + { + "epoch": 0.34, + "learning_rate": 3.826975549128092e-05, + "loss": 3.908, + "step": 2674 + }, + { + "epoch": 0.34, + "learning_rate": 3.8260969508784916e-05, + "loss": 3.9611, + "step": 2675 + }, + { + "epoch": 0.34, + "learning_rate": 3.825218124657452e-05, + "loss": 3.8864, + "step": 2676 + }, + { + "epoch": 0.34, + "learning_rate": 3.824339070616053e-05, + "loss": 4.0485, + "step": 2677 + }, + { + "epoch": 0.34, + "learning_rate": 3.823459788905415e-05, + "loss": 4.0591, + "step": 2678 + }, + { + "epoch": 0.34, + "learning_rate": 3.8225802796766964e-05, + "loss": 4.1376, + "step": 2679 + }, + { + "epoch": 0.34, + "learning_rate": 3.821700543081095e-05, + "loss": 4.0251, + "step": 2680 + }, + { + "epoch": 0.34, + "learning_rate": 3.820820579269848e-05, + "loss": 3.885, + "step": 2681 + }, + { + "epoch": 0.34, + "learning_rate": 3.819940388394232e-05, + "loss": 4.0545, + "step": 2682 + }, + { + "epoch": 0.34, + "learning_rate": 3.81905997060556e-05, + "loss": 3.9743, + "step": 2683 + }, + { + "epoch": 0.34, + "learning_rate": 3.8181793260551876e-05, + "loss": 4.0571, + "step": 2684 + }, + { + "epoch": 0.34, + "learning_rate": 3.817298454894507e-05, + "loss": 3.8955, + "step": 2685 + }, + { + "epoch": 0.34, + "learning_rate": 3.8164173572749505e-05, + "loss": 3.9323, + "step": 2686 + }, + { + "epoch": 0.34, + "learning_rate": 3.8155360333479895e-05, + "loss": 4.1319, + "step": 2687 + }, + { + "epoch": 0.34, + "learning_rate": 3.8146544832651336e-05, + "loss": 3.8546, + "step": 2688 + }, + { + "epoch": 0.34, + "learning_rate": 3.8137727071779306e-05, + "loss": 4.0987, + "step": 2689 + }, + { + "epoch": 0.34, + "learning_rate": 3.812890705237969e-05, + "loss": 4.0615, + "step": 2690 + }, + { + "epoch": 0.34, + "learning_rate": 3.812008477596875e-05, + "loss": 3.9849, + "step": 2691 + }, + { + "epoch": 0.34, + "learning_rate": 3.811126024406314e-05, + "loss": 3.9156, + "step": 2692 + }, + { + "epoch": 0.34, + "learning_rate": 3.810243345817989e-05, + "loss": 4.0447, + "step": 2693 + }, + { + "epoch": 0.34, + "learning_rate": 3.809360441983643e-05, + "loss": 3.922, + "step": 2694 + }, + { + "epoch": 0.34, + "learning_rate": 3.808477313055058e-05, + "loss": 3.8884, + "step": 2695 + }, + { + "epoch": 0.35, + "learning_rate": 3.8075939591840534e-05, + "loss": 4.0968, + "step": 2696 + }, + { + "epoch": 0.35, + "learning_rate": 3.806710380522488e-05, + "loss": 3.8697, + "step": 2697 + }, + { + "epoch": 0.35, + "learning_rate": 3.80582657722226e-05, + "loss": 4.0153, + "step": 2698 + }, + { + "epoch": 0.35, + "learning_rate": 3.804942549435305e-05, + "loss": 4.0174, + "step": 2699 + }, + { + "epoch": 0.35, + "learning_rate": 3.8040582973135974e-05, + "loss": 4.0636, + "step": 2700 + }, + { + "epoch": 0.35, + "learning_rate": 3.803173821009151e-05, + "loss": 3.9859, + "step": 2701 + }, + { + "epoch": 0.35, + "learning_rate": 3.802289120674016e-05, + "loss": 4.0625, + "step": 2702 + }, + { + "epoch": 0.35, + "learning_rate": 3.801404196460284e-05, + "loss": 4.0585, + "step": 2703 + }, + { + "epoch": 0.35, + "learning_rate": 3.800519048520084e-05, + "loss": 4.0886, + "step": 2704 + }, + { + "epoch": 0.35, + "learning_rate": 3.799633677005583e-05, + "loss": 4.0398, + "step": 2705 + }, + { + "epoch": 0.35, + "learning_rate": 3.798748082068986e-05, + "loss": 4.0639, + "step": 2706 + }, + { + "epoch": 0.35, + "learning_rate": 3.797862263862537e-05, + "loss": 4.0683, + "step": 2707 + }, + { + "epoch": 0.35, + "learning_rate": 3.7969762225385174e-05, + "loss": 4.1093, + "step": 2708 + }, + { + "epoch": 0.35, + "learning_rate": 3.796089958249252e-05, + "loss": 3.8829, + "step": 2709 + }, + { + "epoch": 0.35, + "learning_rate": 3.795203471147095e-05, + "loss": 3.9615, + "step": 2710 + }, + { + "epoch": 0.35, + "learning_rate": 3.7943167613844475e-05, + "loss": 3.9917, + "step": 2711 + }, + { + "epoch": 0.35, + "learning_rate": 3.793429829113743e-05, + "loss": 3.9347, + "step": 2712 + }, + { + "epoch": 0.35, + "learning_rate": 3.792542674487456e-05, + "loss": 4.0635, + "step": 2713 + }, + { + "epoch": 0.35, + "learning_rate": 3.7916552976580996e-05, + "loss": 3.9933, + "step": 2714 + }, + { + "epoch": 0.35, + "learning_rate": 3.790767698778223e-05, + "loss": 4.0056, + "step": 2715 + }, + { + "epoch": 0.35, + "learning_rate": 3.7898798780004145e-05, + "loss": 3.9309, + "step": 2716 + }, + { + "epoch": 0.35, + "learning_rate": 3.788991835477302e-05, + "loss": 3.7407, + "step": 2717 + }, + { + "epoch": 0.35, + "learning_rate": 3.78810357136155e-05, + "loss": 3.889, + "step": 2718 + }, + { + "epoch": 0.35, + "learning_rate": 3.78721508580586e-05, + "loss": 3.7296, + "step": 2719 + }, + { + "epoch": 0.35, + "learning_rate": 3.7863263789629754e-05, + "loss": 4.0151, + "step": 2720 + }, + { + "epoch": 0.35, + "learning_rate": 3.7854374509856734e-05, + "loss": 4.0299, + "step": 2721 + }, + { + "epoch": 0.35, + "learning_rate": 3.784548302026771e-05, + "loss": 4.1769, + "step": 2722 + }, + { + "epoch": 0.35, + "learning_rate": 3.7836589322391236e-05, + "loss": 3.8507, + "step": 2723 + }, + { + "epoch": 0.35, + "learning_rate": 3.7827693417756254e-05, + "loss": 3.9446, + "step": 2724 + }, + { + "epoch": 0.35, + "learning_rate": 3.7818795307892056e-05, + "loss": 3.9834, + "step": 2725 + }, + { + "epoch": 0.35, + "learning_rate": 3.7809894994328333e-05, + "loss": 3.8612, + "step": 2726 + }, + { + "epoch": 0.35, + "learning_rate": 3.780099247859516e-05, + "loss": 3.9776, + "step": 2727 + }, + { + "epoch": 0.35, + "learning_rate": 3.779208776222298e-05, + "loss": 3.905, + "step": 2728 + }, + { + "epoch": 0.35, + "learning_rate": 3.778318084674262e-05, + "loss": 3.9243, + "step": 2729 + }, + { + "epoch": 0.35, + "learning_rate": 3.7774271733685264e-05, + "loss": 3.9267, + "step": 2730 + }, + { + "epoch": 0.35, + "learning_rate": 3.77653604245825e-05, + "loss": 4.1373, + "step": 2731 + }, + { + "epoch": 0.35, + "learning_rate": 3.77564469209663e-05, + "loss": 3.9657, + "step": 2732 + }, + { + "epoch": 0.35, + "learning_rate": 3.7747531224368994e-05, + "loss": 4.0002, + "step": 2733 + }, + { + "epoch": 0.35, + "learning_rate": 3.773861333632328e-05, + "loss": 4.0818, + "step": 2734 + }, + { + "epoch": 0.35, + "learning_rate": 3.772969325836227e-05, + "loss": 3.971, + "step": 2735 + }, + { + "epoch": 0.35, + "learning_rate": 3.772077099201939e-05, + "loss": 3.9838, + "step": 2736 + }, + { + "epoch": 0.35, + "learning_rate": 3.771184653882852e-05, + "loss": 4.1253, + "step": 2737 + }, + { + "epoch": 0.35, + "learning_rate": 3.7702919900323856e-05, + "loss": 4.0261, + "step": 2738 + }, + { + "epoch": 0.35, + "learning_rate": 3.769399107804e-05, + "loss": 3.9241, + "step": 2739 + }, + { + "epoch": 0.35, + "learning_rate": 3.7685060073511916e-05, + "loss": 3.9601, + "step": 2740 + }, + { + "epoch": 0.35, + "learning_rate": 3.767612688827494e-05, + "loss": 3.9972, + "step": 2741 + }, + { + "epoch": 0.35, + "learning_rate": 3.766719152386481e-05, + "loss": 3.9924, + "step": 2742 + }, + { + "epoch": 0.35, + "learning_rate": 3.76582539818176e-05, + "loss": 4.0014, + "step": 2743 + }, + { + "epoch": 0.35, + "learning_rate": 3.7649314263669786e-05, + "loss": 3.9702, + "step": 2744 + }, + { + "epoch": 0.35, + "learning_rate": 3.76403723709582e-05, + "loss": 4.0517, + "step": 2745 + }, + { + "epoch": 0.35, + "learning_rate": 3.763142830522007e-05, + "loss": 3.8925, + "step": 2746 + }, + { + "epoch": 0.35, + "learning_rate": 3.762248206799297e-05, + "loss": 4.0077, + "step": 2747 + }, + { + "epoch": 0.35, + "learning_rate": 3.761353366081488e-05, + "loss": 4.0804, + "step": 2748 + }, + { + "epoch": 0.35, + "learning_rate": 3.760458308522413e-05, + "loss": 4.1819, + "step": 2749 + }, + { + "epoch": 0.35, + "learning_rate": 3.759563034275941e-05, + "loss": 4.0255, + "step": 2750 + }, + { + "epoch": 0.35, + "learning_rate": 3.7586675434959816e-05, + "loss": 4.0721, + "step": 2751 + }, + { + "epoch": 0.35, + "learning_rate": 3.75777183633648e-05, + "loss": 4.1275, + "step": 2752 + }, + { + "epoch": 0.35, + "learning_rate": 3.756875912951418e-05, + "loss": 3.8726, + "step": 2753 + }, + { + "epoch": 0.35, + "learning_rate": 3.755979773494816e-05, + "loss": 3.9127, + "step": 2754 + }, + { + "epoch": 0.35, + "learning_rate": 3.75508341812073e-05, + "loss": 4.0499, + "step": 2755 + }, + { + "epoch": 0.35, + "learning_rate": 3.7541868469832547e-05, + "loss": 3.9383, + "step": 2756 + }, + { + "epoch": 0.35, + "learning_rate": 3.7532900602365205e-05, + "loss": 4.0243, + "step": 2757 + }, + { + "epoch": 0.35, + "learning_rate": 3.752393058034696e-05, + "loss": 4.0235, + "step": 2758 + }, + { + "epoch": 0.35, + "learning_rate": 3.751495840531984e-05, + "loss": 4.037, + "step": 2759 + }, + { + "epoch": 0.35, + "learning_rate": 3.750598407882631e-05, + "loss": 3.9714, + "step": 2760 + }, + { + "epoch": 0.35, + "learning_rate": 3.749700760240912e-05, + "loss": 3.8719, + "step": 2761 + }, + { + "epoch": 0.35, + "learning_rate": 3.7488028977611446e-05, + "loss": 4.0138, + "step": 2762 + }, + { + "epoch": 0.35, + "learning_rate": 3.747904820597682e-05, + "loss": 3.8573, + "step": 2763 + }, + { + "epoch": 0.35, + "learning_rate": 3.7470065289049136e-05, + "loss": 3.9891, + "step": 2764 + }, + { + "epoch": 0.35, + "learning_rate": 3.746108022837266e-05, + "loss": 4.0435, + "step": 2765 + }, + { + "epoch": 0.35, + "learning_rate": 3.745209302549204e-05, + "loss": 3.9541, + "step": 2766 + }, + { + "epoch": 0.35, + "learning_rate": 3.7443103681952266e-05, + "loss": 4.0572, + "step": 2767 + }, + { + "epoch": 0.35, + "learning_rate": 3.743411219929872e-05, + "loss": 3.8687, + "step": 2768 + }, + { + "epoch": 0.35, + "learning_rate": 3.7425118579077135e-05, + "loss": 3.9368, + "step": 2769 + }, + { + "epoch": 0.35, + "learning_rate": 3.741612282283362e-05, + "loss": 4.1018, + "step": 2770 + }, + { + "epoch": 0.35, + "learning_rate": 3.7407124932114664e-05, + "loss": 3.9843, + "step": 2771 + }, + { + "epoch": 0.35, + "learning_rate": 3.739812490846708e-05, + "loss": 3.9267, + "step": 2772 + }, + { + "epoch": 0.35, + "learning_rate": 3.73891227534381e-05, + "loss": 3.8229, + "step": 2773 + }, + { + "epoch": 0.36, + "learning_rate": 3.738011846857529e-05, + "loss": 3.8431, + "step": 2774 + }, + { + "epoch": 0.36, + "learning_rate": 3.73711120554266e-05, + "loss": 4.0889, + "step": 2775 + }, + { + "epoch": 0.36, + "learning_rate": 3.736210351554032e-05, + "loss": 4.0454, + "step": 2776 + }, + { + "epoch": 0.36, + "learning_rate": 3.735309285046513e-05, + "loss": 4.1075, + "step": 2777 + }, + { + "epoch": 0.36, + "learning_rate": 3.734408006175008e-05, + "loss": 3.8301, + "step": 2778 + }, + { + "epoch": 0.36, + "learning_rate": 3.7335065150944556e-05, + "loss": 3.9726, + "step": 2779 + }, + { + "epoch": 0.36, + "learning_rate": 3.732604811959834e-05, + "loss": 4.0032, + "step": 2780 + }, + { + "epoch": 0.36, + "learning_rate": 3.731702896926155e-05, + "loss": 3.8888, + "step": 2781 + }, + { + "epoch": 0.36, + "learning_rate": 3.730800770148469e-05, + "loss": 3.9591, + "step": 2782 + }, + { + "epoch": 0.36, + "learning_rate": 3.729898431781861e-05, + "loss": 4.1195, + "step": 2783 + }, + { + "epoch": 0.36, + "learning_rate": 3.7289958819814555e-05, + "loss": 4.0131, + "step": 2784 + }, + { + "epoch": 0.36, + "learning_rate": 3.7280931209024105e-05, + "loss": 4.0368, + "step": 2785 + }, + { + "epoch": 0.36, + "learning_rate": 3.72719014869992e-05, + "loss": 3.871, + "step": 2786 + }, + { + "epoch": 0.36, + "learning_rate": 3.726286965529216e-05, + "loss": 3.9173, + "step": 2787 + }, + { + "epoch": 0.36, + "learning_rate": 3.7253835715455664e-05, + "loss": 4.0202, + "step": 2788 + }, + { + "epoch": 0.36, + "learning_rate": 3.724479966904276e-05, + "loss": 4.0063, + "step": 2789 + }, + { + "epoch": 0.36, + "learning_rate": 3.7235761517606825e-05, + "loss": 3.92, + "step": 2790 + }, + { + "epoch": 0.36, + "learning_rate": 3.7226721262701635e-05, + "loss": 3.9151, + "step": 2791 + }, + { + "epoch": 0.36, + "learning_rate": 3.721767890588133e-05, + "loss": 4.0707, + "step": 2792 + }, + { + "epoch": 0.36, + "learning_rate": 3.720863444870038e-05, + "loss": 3.9134, + "step": 2793 + }, + { + "epoch": 0.36, + "learning_rate": 3.719958789271362e-05, + "loss": 3.9292, + "step": 2794 + }, + { + "epoch": 0.36, + "learning_rate": 3.719053923947628e-05, + "loss": 3.8777, + "step": 2795 + }, + { + "epoch": 0.36, + "learning_rate": 3.7181488490543915e-05, + "loss": 3.9257, + "step": 2796 + }, + { + "epoch": 0.36, + "learning_rate": 3.717243564747247e-05, + "loss": 4.0193, + "step": 2797 + }, + { + "epoch": 0.36, + "learning_rate": 3.716338071181821e-05, + "loss": 4.0295, + "step": 2798 + }, + { + "epoch": 0.36, + "learning_rate": 3.7154323685137806e-05, + "loss": 4.0761, + "step": 2799 + }, + { + "epoch": 0.36, + "learning_rate": 3.714526456898824e-05, + "loss": 3.9154, + "step": 2800 + }, + { + "epoch": 0.36, + "learning_rate": 3.71362033649269e-05, + "loss": 3.8972, + "step": 2801 + }, + { + "epoch": 0.36, + "learning_rate": 3.712714007451152e-05, + "loss": 4.0318, + "step": 2802 + }, + { + "epoch": 0.36, + "learning_rate": 3.7118074699300164e-05, + "loss": 3.9615, + "step": 2803 + }, + { + "epoch": 0.36, + "learning_rate": 3.7109007240851277e-05, + "loss": 3.9014, + "step": 2804 + }, + { + "epoch": 0.36, + "learning_rate": 3.709993770072366e-05, + "loss": 3.8651, + "step": 2805 + }, + { + "epoch": 0.36, + "learning_rate": 3.709086608047649e-05, + "loss": 3.9565, + "step": 2806 + }, + { + "epoch": 0.36, + "learning_rate": 3.708179238166928e-05, + "loss": 3.9122, + "step": 2807 + }, + { + "epoch": 0.36, + "learning_rate": 3.7072716605861876e-05, + "loss": 3.893, + "step": 2808 + }, + { + "epoch": 0.36, + "learning_rate": 3.706363875461454e-05, + "loss": 3.9512, + "step": 2809 + }, + { + "epoch": 0.36, + "learning_rate": 3.705455882948784e-05, + "loss": 3.9704, + "step": 2810 + }, + { + "epoch": 0.36, + "learning_rate": 3.704547683204274e-05, + "loss": 3.8804, + "step": 2811 + }, + { + "epoch": 0.36, + "learning_rate": 3.703639276384052e-05, + "loss": 4.03, + "step": 2812 + }, + { + "epoch": 0.36, + "learning_rate": 3.702730662644285e-05, + "loss": 3.8868, + "step": 2813 + }, + { + "epoch": 0.36, + "learning_rate": 3.701821842141173e-05, + "loss": 3.9825, + "step": 2814 + }, + { + "epoch": 0.36, + "learning_rate": 3.700912815030955e-05, + "loss": 3.9622, + "step": 2815 + }, + { + "epoch": 0.36, + "learning_rate": 3.700003581469901e-05, + "loss": 4.0817, + "step": 2816 + }, + { + "epoch": 0.36, + "learning_rate": 3.6990941416143205e-05, + "loss": 4.0, + "step": 2817 + }, + { + "epoch": 0.36, + "learning_rate": 3.698184495620555e-05, + "loss": 4.0224, + "step": 2818 + }, + { + "epoch": 0.36, + "learning_rate": 3.6972746436449845e-05, + "loss": 3.9956, + "step": 2819 + }, + { + "epoch": 0.36, + "learning_rate": 3.6963645858440234e-05, + "loss": 4.0856, + "step": 2820 + }, + { + "epoch": 0.36, + "learning_rate": 3.69545432237412e-05, + "loss": 3.9862, + "step": 2821 + }, + { + "epoch": 0.36, + "learning_rate": 3.6945438533917594e-05, + "loss": 3.93, + "step": 2822 + }, + { + "epoch": 0.36, + "learning_rate": 3.693633179053462e-05, + "loss": 3.9512, + "step": 2823 + }, + { + "epoch": 0.36, + "learning_rate": 3.692722299515784e-05, + "loss": 3.9795, + "step": 2824 + }, + { + "epoch": 0.36, + "learning_rate": 3.691811214935315e-05, + "loss": 3.9, + "step": 2825 + }, + { + "epoch": 0.36, + "learning_rate": 3.6908999254686814e-05, + "loss": 4.1841, + "step": 2826 + }, + { + "epoch": 0.36, + "learning_rate": 3.689988431272545e-05, + "loss": 3.9574, + "step": 2827 + }, + { + "epoch": 0.36, + "learning_rate": 3.689076732503601e-05, + "loss": 4.0384, + "step": 2828 + }, + { + "epoch": 0.36, + "learning_rate": 3.688164829318583e-05, + "loss": 3.9713, + "step": 2829 + }, + { + "epoch": 0.36, + "learning_rate": 3.6872527218742556e-05, + "loss": 3.8727, + "step": 2830 + }, + { + "epoch": 0.36, + "learning_rate": 3.6863404103274215e-05, + "loss": 3.9423, + "step": 2831 + }, + { + "epoch": 0.36, + "learning_rate": 3.6854278948349184e-05, + "loss": 3.9749, + "step": 2832 + }, + { + "epoch": 0.36, + "learning_rate": 3.684515175553616e-05, + "loss": 3.9431, + "step": 2833 + }, + { + "epoch": 0.36, + "learning_rate": 3.683602252640424e-05, + "loss": 3.9504, + "step": 2834 + }, + { + "epoch": 0.36, + "learning_rate": 3.682689126252283e-05, + "loss": 3.9472, + "step": 2835 + }, + { + "epoch": 0.36, + "learning_rate": 3.681775796546171e-05, + "loss": 4.0644, + "step": 2836 + }, + { + "epoch": 0.36, + "learning_rate": 3.680862263679097e-05, + "loss": 3.9818, + "step": 2837 + }, + { + "epoch": 0.36, + "learning_rate": 3.6799485278081125e-05, + "loss": 4.042, + "step": 2838 + }, + { + "epoch": 0.36, + "learning_rate": 3.679034589090296e-05, + "loss": 3.9189, + "step": 2839 + }, + { + "epoch": 0.36, + "learning_rate": 3.6781204476827654e-05, + "loss": 3.7873, + "step": 2840 + }, + { + "epoch": 0.36, + "learning_rate": 3.677206103742671e-05, + "loss": 4.0031, + "step": 2841 + }, + { + "epoch": 0.36, + "learning_rate": 3.676291557427201e-05, + "loss": 3.9302, + "step": 2842 + }, + { + "epoch": 0.36, + "learning_rate": 3.6753768088935755e-05, + "loss": 4.1128, + "step": 2843 + }, + { + "epoch": 0.36, + "learning_rate": 3.67446185829905e-05, + "loss": 3.9094, + "step": 2844 + }, + { + "epoch": 0.36, + "learning_rate": 3.673546705800916e-05, + "loss": 4.0072, + "step": 2845 + }, + { + "epoch": 0.36, + "learning_rate": 3.6726313515564984e-05, + "loss": 3.8986, + "step": 2846 + }, + { + "epoch": 0.36, + "learning_rate": 3.6717157957231565e-05, + "loss": 4.0623, + "step": 2847 + }, + { + "epoch": 0.36, + "learning_rate": 3.670800038458285e-05, + "loss": 3.8196, + "step": 2848 + }, + { + "epoch": 0.36, + "learning_rate": 3.6698840799193154e-05, + "loss": 4.0664, + "step": 2849 + }, + { + "epoch": 0.36, + "learning_rate": 3.668967920263709e-05, + "loss": 4.0897, + "step": 2850 + }, + { + "epoch": 0.36, + "learning_rate": 3.668051559648965e-05, + "loss": 4.0476, + "step": 2851 + }, + { + "epoch": 0.37, + "learning_rate": 3.6671349982326176e-05, + "loss": 3.9673, + "step": 2852 + }, + { + "epoch": 0.37, + "learning_rate": 3.666218236172234e-05, + "loss": 3.864, + "step": 2853 + }, + { + "epoch": 0.37, + "learning_rate": 3.665301273625414e-05, + "loss": 4.1229, + "step": 2854 + }, + { + "epoch": 0.37, + "learning_rate": 3.664384110749797e-05, + "loss": 3.9465, + "step": 2855 + }, + { + "epoch": 0.37, + "learning_rate": 3.663466747703052e-05, + "loss": 3.892, + "step": 2856 + }, + { + "epoch": 0.37, + "learning_rate": 3.662549184642885e-05, + "loss": 3.925, + "step": 2857 + }, + { + "epoch": 0.37, + "learning_rate": 3.661631421727036e-05, + "loss": 3.8764, + "step": 2858 + }, + { + "epoch": 0.37, + "learning_rate": 3.6607134591132785e-05, + "loss": 3.8689, + "step": 2859 + }, + { + "epoch": 0.37, + "learning_rate": 3.6597952969594217e-05, + "loss": 4.042, + "step": 2860 + }, + { + "epoch": 0.37, + "learning_rate": 3.6588769354233075e-05, + "loss": 3.924, + "step": 2861 + }, + { + "epoch": 0.37, + "learning_rate": 3.6579583746628126e-05, + "loss": 3.9844, + "step": 2862 + }, + { + "epoch": 0.37, + "learning_rate": 3.65703961483585e-05, + "loss": 3.8353, + "step": 2863 + }, + { + "epoch": 0.37, + "learning_rate": 3.656120656100364e-05, + "loss": 4.0779, + "step": 2864 + }, + { + "epoch": 0.37, + "learning_rate": 3.655201498614333e-05, + "loss": 4.0331, + "step": 2865 + }, + { + "epoch": 0.37, + "learning_rate": 3.654282142535773e-05, + "loss": 3.9594, + "step": 2866 + }, + { + "epoch": 0.37, + "learning_rate": 3.6533625880227315e-05, + "loss": 3.9086, + "step": 2867 + }, + { + "epoch": 0.37, + "learning_rate": 3.6524428352332904e-05, + "loss": 3.8725, + "step": 2868 + }, + { + "epoch": 0.37, + "learning_rate": 3.651522884325565e-05, + "loss": 3.9298, + "step": 2869 + }, + { + "epoch": 0.37, + "learning_rate": 3.650602735457706e-05, + "loss": 3.8985, + "step": 2870 + }, + { + "epoch": 0.37, + "learning_rate": 3.6496823887878986e-05, + "loss": 4.0294, + "step": 2871 + }, + { + "epoch": 0.37, + "learning_rate": 3.6487618444743596e-05, + "loss": 3.9508, + "step": 2872 + }, + { + "epoch": 0.37, + "learning_rate": 3.6478411026753424e-05, + "loss": 3.8588, + "step": 2873 + }, + { + "epoch": 0.37, + "learning_rate": 3.646920163549132e-05, + "loss": 3.953, + "step": 2874 + }, + { + "epoch": 0.37, + "learning_rate": 3.645999027254051e-05, + "loss": 3.9332, + "step": 2875 + }, + { + "epoch": 0.37, + "learning_rate": 3.64507769394845e-05, + "loss": 4.0018, + "step": 2876 + }, + { + "epoch": 0.37, + "learning_rate": 3.644156163790719e-05, + "loss": 3.9852, + "step": 2877 + }, + { + "epoch": 0.37, + "learning_rate": 3.64323443693928e-05, + "loss": 4.0011, + "step": 2878 + }, + { + "epoch": 0.37, + "learning_rate": 3.642312513552586e-05, + "loss": 3.9036, + "step": 2879 + }, + { + "epoch": 0.37, + "learning_rate": 3.6413903937891294e-05, + "loss": 3.9077, + "step": 2880 + }, + { + "epoch": 0.37, + "learning_rate": 3.640468077807432e-05, + "loss": 3.8989, + "step": 2881 + }, + { + "epoch": 0.37, + "learning_rate": 3.63954556576605e-05, + "loss": 3.8936, + "step": 2882 + }, + { + "epoch": 0.37, + "learning_rate": 3.6386228578235746e-05, + "loss": 4.0425, + "step": 2883 + }, + { + "epoch": 0.37, + "learning_rate": 3.6376999541386304e-05, + "loss": 3.9697, + "step": 2884 + }, + { + "epoch": 0.37, + "learning_rate": 3.636776854869874e-05, + "loss": 3.9653, + "step": 2885 + }, + { + "epoch": 0.37, + "learning_rate": 3.6358535601759985e-05, + "loss": 3.9498, + "step": 2886 + }, + { + "epoch": 0.37, + "learning_rate": 3.634930070215727e-05, + "loss": 4.0242, + "step": 2887 + }, + { + "epoch": 0.37, + "learning_rate": 3.63400638514782e-05, + "loss": 3.9089, + "step": 2888 + }, + { + "epoch": 0.37, + "learning_rate": 3.633082505131069e-05, + "loss": 4.0023, + "step": 2889 + }, + { + "epoch": 0.37, + "learning_rate": 3.632158430324299e-05, + "loss": 3.8864, + "step": 2890 + }, + { + "epoch": 0.37, + "learning_rate": 3.6312341608863695e-05, + "loss": 3.8112, + "step": 2891 + }, + { + "epoch": 0.37, + "learning_rate": 3.6303096969761744e-05, + "loss": 4.0285, + "step": 2892 + }, + { + "epoch": 0.37, + "learning_rate": 3.629385038752638e-05, + "loss": 4.0398, + "step": 2893 + }, + { + "epoch": 0.37, + "learning_rate": 3.62846018637472e-05, + "loss": 3.9029, + "step": 2894 + }, + { + "epoch": 0.37, + "learning_rate": 3.627535140001414e-05, + "loss": 3.8734, + "step": 2895 + }, + { + "epoch": 0.37, + "learning_rate": 3.626609899791748e-05, + "loss": 3.9635, + "step": 2896 + }, + { + "epoch": 0.37, + "learning_rate": 3.625684465904777e-05, + "loss": 3.962, + "step": 2897 + }, + { + "epoch": 0.37, + "learning_rate": 3.624758838499596e-05, + "loss": 4.1202, + "step": 2898 + }, + { + "epoch": 0.37, + "learning_rate": 3.623833017735333e-05, + "loss": 3.9036, + "step": 2899 + }, + { + "epoch": 0.37, + "learning_rate": 3.622907003771145e-05, + "loss": 3.8918, + "step": 2900 + }, + { + "epoch": 0.37, + "learning_rate": 3.621980796766225e-05, + "loss": 4.06, + "step": 2901 + }, + { + "epoch": 0.37, + "learning_rate": 3.6210543968797985e-05, + "loss": 3.9516, + "step": 2902 + }, + { + "epoch": 0.37, + "learning_rate": 3.620127804271126e-05, + "loss": 4.0262, + "step": 2903 + }, + { + "epoch": 0.37, + "learning_rate": 3.6192010190994975e-05, + "loss": 4.0872, + "step": 2904 + }, + { + "epoch": 0.37, + "learning_rate": 3.618274041524239e-05, + "loss": 4.0403, + "step": 2905 + }, + { + "epoch": 0.37, + "learning_rate": 3.617346871704709e-05, + "loss": 3.9649, + "step": 2906 + }, + { + "epoch": 0.37, + "learning_rate": 3.6164195098002974e-05, + "loss": 4.0447, + "step": 2907 + }, + { + "epoch": 0.37, + "learning_rate": 3.61549195597043e-05, + "loss": 3.9179, + "step": 2908 + }, + { + "epoch": 0.37, + "learning_rate": 3.6145642103745635e-05, + "loss": 3.9402, + "step": 2909 + }, + { + "epoch": 0.37, + "learning_rate": 3.6136362731721884e-05, + "loss": 3.9462, + "step": 2910 + }, + { + "epoch": 0.37, + "learning_rate": 3.6127081445228276e-05, + "loss": 4.0626, + "step": 2911 + }, + { + "epoch": 0.37, + "learning_rate": 3.611779824586036e-05, + "loss": 3.8226, + "step": 2912 + }, + { + "epoch": 0.37, + "learning_rate": 3.610851313521405e-05, + "loss": 4.0872, + "step": 2913 + }, + { + "epoch": 0.37, + "learning_rate": 3.609922611488555e-05, + "loss": 3.9957, + "step": 2914 + }, + { + "epoch": 0.37, + "learning_rate": 3.60899371864714e-05, + "loss": 4.1189, + "step": 2915 + }, + { + "epoch": 0.37, + "learning_rate": 3.6080646351568486e-05, + "loss": 3.8005, + "step": 2916 + }, + { + "epoch": 0.37, + "learning_rate": 3.6071353611774005e-05, + "loss": 3.9326, + "step": 2917 + }, + { + "epoch": 0.37, + "learning_rate": 3.60620589686855e-05, + "loss": 3.9159, + "step": 2918 + }, + { + "epoch": 0.37, + "learning_rate": 3.60527624239008e-05, + "loss": 3.9512, + "step": 2919 + }, + { + "epoch": 0.37, + "learning_rate": 3.604346397901811e-05, + "loss": 4.0132, + "step": 2920 + }, + { + "epoch": 0.37, + "learning_rate": 3.603416363563593e-05, + "loss": 3.9283, + "step": 2921 + }, + { + "epoch": 0.37, + "learning_rate": 3.602486139535311e-05, + "loss": 4.0338, + "step": 2922 + }, + { + "epoch": 0.37, + "learning_rate": 3.60155572597688e-05, + "loss": 3.9738, + "step": 2923 + }, + { + "epoch": 0.37, + "learning_rate": 3.6006251230482504e-05, + "loss": 3.9723, + "step": 2924 + }, + { + "epoch": 0.37, + "learning_rate": 3.599694330909401e-05, + "loss": 4.0645, + "step": 2925 + }, + { + "epoch": 0.37, + "learning_rate": 3.598763349720348e-05, + "loss": 3.8083, + "step": 2926 + }, + { + "epoch": 0.37, + "learning_rate": 3.5978321796411377e-05, + "loss": 3.9962, + "step": 2927 + }, + { + "epoch": 0.37, + "learning_rate": 3.5969008208318486e-05, + "loss": 3.8348, + "step": 2928 + }, + { + "epoch": 0.37, + "learning_rate": 3.595969273452591e-05, + "loss": 3.8367, + "step": 2929 + }, + { + "epoch": 0.38, + "learning_rate": 3.59503753766351e-05, + "loss": 3.9649, + "step": 2930 + }, + { + "epoch": 0.38, + "learning_rate": 3.5941056136247825e-05, + "loss": 3.9399, + "step": 2931 + }, + { + "epoch": 0.38, + "learning_rate": 3.593173501496616e-05, + "loss": 3.9926, + "step": 2932 + }, + { + "epoch": 0.38, + "learning_rate": 3.5922412014392506e-05, + "loss": 4.0025, + "step": 2933 + }, + { + "epoch": 0.38, + "learning_rate": 3.591308713612961e-05, + "loss": 4.0642, + "step": 2934 + }, + { + "epoch": 0.38, + "learning_rate": 3.590376038178051e-05, + "loss": 3.9683, + "step": 2935 + }, + { + "epoch": 0.38, + "learning_rate": 3.5894431752948605e-05, + "loss": 3.9672, + "step": 2936 + }, + { + "epoch": 0.38, + "learning_rate": 3.588510125123757e-05, + "loss": 4.1359, + "step": 2937 + }, + { + "epoch": 0.38, + "learning_rate": 3.587576887825145e-05, + "loss": 3.9243, + "step": 2938 + }, + { + "epoch": 0.38, + "learning_rate": 3.586643463559457e-05, + "loss": 4.0587, + "step": 2939 + }, + { + "epoch": 0.38, + "learning_rate": 3.58570985248716e-05, + "loss": 4.076, + "step": 2940 + }, + { + "epoch": 0.38, + "learning_rate": 3.5847760547687536e-05, + "loss": 3.8778, + "step": 2941 + }, + { + "epoch": 0.38, + "learning_rate": 3.583842070564768e-05, + "loss": 4.0635, + "step": 2942 + }, + { + "epoch": 0.38, + "learning_rate": 3.5829079000357646e-05, + "loss": 4.0346, + "step": 2943 + }, + { + "epoch": 0.38, + "learning_rate": 3.5819735433423386e-05, + "loss": 3.9798, + "step": 2944 + }, + { + "epoch": 0.38, + "learning_rate": 3.581039000645118e-05, + "loss": 3.8866, + "step": 2945 + }, + { + "epoch": 0.38, + "learning_rate": 3.5801042721047604e-05, + "loss": 4.0231, + "step": 2946 + }, + { + "epoch": 0.38, + "learning_rate": 3.5791693578819564e-05, + "loss": 3.9042, + "step": 2947 + }, + { + "epoch": 0.38, + "learning_rate": 3.57823425813743e-05, + "loss": 3.9331, + "step": 2948 + }, + { + "epoch": 0.38, + "learning_rate": 3.577298973031934e-05, + "loss": 3.8926, + "step": 2949 + }, + { + "epoch": 0.38, + "learning_rate": 3.5763635027262555e-05, + "loss": 4.0423, + "step": 2950 + }, + { + "epoch": 0.38, + "learning_rate": 3.575427847381212e-05, + "loss": 4.0322, + "step": 2951 + }, + { + "epoch": 0.38, + "learning_rate": 3.5744920071576546e-05, + "loss": 3.854, + "step": 2952 + }, + { + "epoch": 0.38, + "learning_rate": 3.573555982216465e-05, + "loss": 3.9707, + "step": 2953 + }, + { + "epoch": 0.38, + "learning_rate": 3.572619772718556e-05, + "loss": 3.9334, + "step": 2954 + }, + { + "epoch": 0.38, + "learning_rate": 3.5716833788248725e-05, + "loss": 3.8849, + "step": 2955 + }, + { + "epoch": 0.38, + "learning_rate": 3.5707468006963935e-05, + "loss": 3.9605, + "step": 2956 + }, + { + "epoch": 0.38, + "learning_rate": 3.5698100384941255e-05, + "loss": 3.8509, + "step": 2957 + }, + { + "epoch": 0.38, + "learning_rate": 3.568873092379109e-05, + "loss": 3.9647, + "step": 2958 + }, + { + "epoch": 0.38, + "learning_rate": 3.5679359625124176e-05, + "loss": 3.955, + "step": 2959 + }, + { + "epoch": 0.38, + "learning_rate": 3.566998649055154e-05, + "loss": 4.0304, + "step": 2960 + }, + { + "epoch": 0.38, + "learning_rate": 3.5660611521684515e-05, + "loss": 4.0561, + "step": 2961 + }, + { + "epoch": 0.38, + "learning_rate": 3.565123472013478e-05, + "loss": 3.8509, + "step": 2962 + }, + { + "epoch": 0.38, + "learning_rate": 3.5641856087514334e-05, + "loss": 3.9168, + "step": 2963 + }, + { + "epoch": 0.38, + "learning_rate": 3.563247562543545e-05, + "loss": 3.8823, + "step": 2964 + }, + { + "epoch": 0.38, + "learning_rate": 3.5623093335510735e-05, + "loss": 3.8374, + "step": 2965 + }, + { + "epoch": 0.38, + "learning_rate": 3.561370921935313e-05, + "loss": 3.9141, + "step": 2966 + }, + { + "epoch": 0.38, + "learning_rate": 3.560432327857586e-05, + "loss": 3.9599, + "step": 2967 + }, + { + "epoch": 0.38, + "learning_rate": 3.559493551479249e-05, + "loss": 4.0308, + "step": 2968 + }, + { + "epoch": 0.38, + "learning_rate": 3.558554592961687e-05, + "loss": 3.9822, + "step": 2969 + }, + { + "epoch": 0.38, + "learning_rate": 3.557615452466319e-05, + "loss": 4.0757, + "step": 2970 + }, + { + "epoch": 0.38, + "learning_rate": 3.5566761301545945e-05, + "loss": 3.9663, + "step": 2971 + }, + { + "epoch": 0.38, + "learning_rate": 3.5557366261879914e-05, + "loss": 3.9096, + "step": 2972 + }, + { + "epoch": 0.38, + "learning_rate": 3.554796940728024e-05, + "loss": 3.9242, + "step": 2973 + }, + { + "epoch": 0.38, + "learning_rate": 3.553857073936235e-05, + "loss": 4.1119, + "step": 2974 + }, + { + "epoch": 0.38, + "learning_rate": 3.552917025974197e-05, + "loss": 3.8865, + "step": 2975 + }, + { + "epoch": 0.38, + "learning_rate": 3.551976797003515e-05, + "loss": 3.9828, + "step": 2976 + }, + { + "epoch": 0.38, + "learning_rate": 3.5510363871858274e-05, + "loss": 3.9404, + "step": 2977 + }, + { + "epoch": 0.38, + "learning_rate": 3.5500957966828e-05, + "loss": 4.1628, + "step": 2978 + }, + { + "epoch": 0.38, + "learning_rate": 3.54915502565613e-05, + "loss": 4.0329, + "step": 2979 + }, + { + "epoch": 0.38, + "learning_rate": 3.54821407426755e-05, + "loss": 3.8918, + "step": 2980 + }, + { + "epoch": 0.38, + "learning_rate": 3.547272942678818e-05, + "loss": 3.9578, + "step": 2981 + }, + { + "epoch": 0.38, + "learning_rate": 3.546331631051726e-05, + "loss": 3.848, + "step": 2982 + }, + { + "epoch": 0.38, + "learning_rate": 3.545390139548096e-05, + "loss": 3.9508, + "step": 2983 + }, + { + "epoch": 0.38, + "learning_rate": 3.544448468329783e-05, + "loss": 3.9729, + "step": 2984 + }, + { + "epoch": 0.38, + "learning_rate": 3.5435066175586694e-05, + "loss": 4.0147, + "step": 2985 + }, + { + "epoch": 0.38, + "learning_rate": 3.542564587396671e-05, + "loss": 3.8538, + "step": 2986 + }, + { + "epoch": 0.38, + "learning_rate": 3.541622378005733e-05, + "loss": 3.967, + "step": 2987 + }, + { + "epoch": 0.38, + "learning_rate": 3.540679989547833e-05, + "loss": 3.8237, + "step": 2988 + }, + { + "epoch": 0.38, + "learning_rate": 3.539737422184979e-05, + "loss": 4.0565, + "step": 2989 + }, + { + "epoch": 0.38, + "learning_rate": 3.538794676079207e-05, + "loss": 4.1739, + "step": 2990 + }, + { + "epoch": 0.38, + "learning_rate": 3.5378517513925884e-05, + "loss": 3.8322, + "step": 2991 + }, + { + "epoch": 0.38, + "learning_rate": 3.536908648287222e-05, + "loss": 4.0767, + "step": 2992 + }, + { + "epoch": 0.38, + "learning_rate": 3.535965366925238e-05, + "loss": 4.0342, + "step": 2993 + }, + { + "epoch": 0.38, + "learning_rate": 3.5350219074687975e-05, + "loss": 3.7871, + "step": 2994 + }, + { + "epoch": 0.38, + "learning_rate": 3.534078270080091e-05, + "loss": 3.9454, + "step": 2995 + }, + { + "epoch": 0.38, + "learning_rate": 3.533134454921344e-05, + "loss": 3.9415, + "step": 2996 + }, + { + "epoch": 0.38, + "learning_rate": 3.532190462154805e-05, + "loss": 4.0162, + "step": 2997 + }, + { + "epoch": 0.38, + "learning_rate": 3.53124629194276e-05, + "loss": 3.9287, + "step": 2998 + }, + { + "epoch": 0.38, + "learning_rate": 3.530301944447523e-05, + "loss": 3.9958, + "step": 2999 + }, + { + "epoch": 0.38, + "learning_rate": 3.5293574198314366e-05, + "loss": 3.9777, + "step": 3000 + }, + { + "epoch": 0.38, + "learning_rate": 3.528412718256877e-05, + "loss": 3.8849, + "step": 3001 + }, + { + "epoch": 0.38, + "learning_rate": 3.5274678398862485e-05, + "loss": 3.8675, + "step": 3002 + }, + { + "epoch": 0.38, + "learning_rate": 3.5265227848819865e-05, + "loss": 3.9754, + "step": 3003 + }, + { + "epoch": 0.38, + "learning_rate": 3.525577553406557e-05, + "loss": 3.916, + "step": 3004 + }, + { + "epoch": 0.38, + "learning_rate": 3.5246321456224575e-05, + "loss": 3.9026, + "step": 3005 + }, + { + "epoch": 0.38, + "learning_rate": 3.5236865616922135e-05, + "loss": 4.0423, + "step": 3006 + }, + { + "epoch": 0.38, + "learning_rate": 3.522740801778381e-05, + "loss": 3.8932, + "step": 3007 + }, + { + "epoch": 0.39, + "learning_rate": 3.521794866043549e-05, + "loss": 4.0304, + "step": 3008 + }, + { + "epoch": 0.39, + "learning_rate": 3.520848754650333e-05, + "loss": 4.0639, + "step": 3009 + }, + { + "epoch": 0.39, + "learning_rate": 3.519902467761383e-05, + "loss": 4.0926, + "step": 3010 + }, + { + "epoch": 0.39, + "learning_rate": 3.518956005539374e-05, + "loss": 3.9792, + "step": 3011 + }, + { + "epoch": 0.39, + "learning_rate": 3.518009368147015e-05, + "loss": 4.0184, + "step": 3012 + }, + { + "epoch": 0.39, + "learning_rate": 3.517062555747043e-05, + "loss": 3.9683, + "step": 3013 + }, + { + "epoch": 0.39, + "learning_rate": 3.5161155685022285e-05, + "loss": 3.9719, + "step": 3014 + }, + { + "epoch": 0.39, + "learning_rate": 3.5151684065753664e-05, + "loss": 3.8939, + "step": 3015 + }, + { + "epoch": 0.39, + "learning_rate": 3.5142210701292876e-05, + "loss": 4.0781, + "step": 3016 + }, + { + "epoch": 0.39, + "learning_rate": 3.513273559326848e-05, + "loss": 3.9043, + "step": 3017 + }, + { + "epoch": 0.39, + "learning_rate": 3.512325874330937e-05, + "loss": 3.9089, + "step": 3018 + }, + { + "epoch": 0.39, + "learning_rate": 3.5113780153044726e-05, + "loss": 4.0102, + "step": 3019 + }, + { + "epoch": 0.39, + "learning_rate": 3.510429982410403e-05, + "loss": 3.9408, + "step": 3020 + }, + { + "epoch": 0.39, + "learning_rate": 3.509481775811705e-05, + "loss": 4.0278, + "step": 3021 + }, + { + "epoch": 0.39, + "learning_rate": 3.508533395671386e-05, + "loss": 4.0017, + "step": 3022 + }, + { + "epoch": 0.39, + "learning_rate": 3.507584842152485e-05, + "loss": 3.9163, + "step": 3023 + }, + { + "epoch": 0.39, + "learning_rate": 3.506636115418069e-05, + "loss": 4.0533, + "step": 3024 + }, + { + "epoch": 0.39, + "learning_rate": 3.505687215631235e-05, + "loss": 4.0444, + "step": 3025 + }, + { + "epoch": 0.39, + "learning_rate": 3.504738142955109e-05, + "loss": 3.9724, + "step": 3026 + }, + { + "epoch": 0.39, + "learning_rate": 3.503788897552848e-05, + "loss": 4.0484, + "step": 3027 + }, + { + "epoch": 0.39, + "learning_rate": 3.5028394795876394e-05, + "loss": 4.1191, + "step": 3028 + }, + { + "epoch": 0.39, + "learning_rate": 3.5018898892226985e-05, + "loss": 3.9668, + "step": 3029 + }, + { + "epoch": 0.39, + "learning_rate": 3.5009401266212704e-05, + "loss": 3.9471, + "step": 3030 + }, + { + "epoch": 0.39, + "learning_rate": 3.4999901919466305e-05, + "loss": 3.9649, + "step": 3031 + }, + { + "epoch": 0.39, + "learning_rate": 3.4990400853620834e-05, + "loss": 4.0602, + "step": 3032 + }, + { + "epoch": 0.39, + "learning_rate": 3.498089807030964e-05, + "loss": 3.9589, + "step": 3033 + }, + { + "epoch": 0.39, + "learning_rate": 3.497139357116637e-05, + "loss": 3.9944, + "step": 3034 + }, + { + "epoch": 0.39, + "learning_rate": 3.4961887357824934e-05, + "loss": 4.0009, + "step": 3035 + }, + { + "epoch": 0.39, + "learning_rate": 3.495237943191957e-05, + "loss": 3.8791, + "step": 3036 + }, + { + "epoch": 0.39, + "learning_rate": 3.494286979508481e-05, + "loss": 4.0723, + "step": 3037 + }, + { + "epoch": 0.39, + "learning_rate": 3.4933358448955474e-05, + "loss": 3.8888, + "step": 3038 + }, + { + "epoch": 0.39, + "learning_rate": 3.4923845395166656e-05, + "loss": 4.112, + "step": 3039 + }, + { + "epoch": 0.39, + "learning_rate": 3.491433063535376e-05, + "loss": 3.9227, + "step": 3040 + }, + { + "epoch": 0.39, + "learning_rate": 3.49048141711525e-05, + "loss": 4.02, + "step": 3041 + }, + { + "epoch": 0.39, + "learning_rate": 3.489529600419885e-05, + "loss": 3.935, + "step": 3042 + }, + { + "epoch": 0.39, + "learning_rate": 3.488577613612911e-05, + "loss": 3.9316, + "step": 3043 + }, + { + "epoch": 0.39, + "learning_rate": 3.487625456857984e-05, + "loss": 3.9016, + "step": 3044 + }, + { + "epoch": 0.39, + "learning_rate": 3.4866731303187916e-05, + "loss": 4.0699, + "step": 3045 + }, + { + "epoch": 0.39, + "learning_rate": 3.48572063415905e-05, + "loss": 3.9556, + "step": 3046 + }, + { + "epoch": 0.39, + "learning_rate": 3.484767968542503e-05, + "loss": 4.0298, + "step": 3047 + }, + { + "epoch": 0.39, + "learning_rate": 3.4838151336329266e-05, + "loss": 4.1392, + "step": 3048 + }, + { + "epoch": 0.39, + "learning_rate": 3.4828621295941234e-05, + "loss": 3.9583, + "step": 3049 + }, + { + "epoch": 0.39, + "learning_rate": 3.4819089565899246e-05, + "loss": 3.8591, + "step": 3050 + }, + { + "epoch": 0.39, + "learning_rate": 3.4809556147841936e-05, + "loss": 4.0348, + "step": 3051 + }, + { + "epoch": 0.39, + "learning_rate": 3.480002104340821e-05, + "loss": 4.0325, + "step": 3052 + }, + { + "epoch": 0.39, + "learning_rate": 3.479048425423725e-05, + "loss": 4.017, + "step": 3053 + }, + { + "epoch": 0.39, + "learning_rate": 3.4780945781968546e-05, + "loss": 3.8673, + "step": 3054 + }, + { + "epoch": 0.39, + "learning_rate": 3.477140562824187e-05, + "loss": 4.03, + "step": 3055 + }, + { + "epoch": 0.39, + "learning_rate": 3.4761863794697284e-05, + "loss": 4.005, + "step": 3056 + }, + { + "epoch": 0.39, + "learning_rate": 3.475232028297515e-05, + "loss": 3.9275, + "step": 3057 + }, + { + "epoch": 0.39, + "learning_rate": 3.47427750947161e-05, + "loss": 4.0581, + "step": 3058 + }, + { + "epoch": 0.39, + "learning_rate": 3.473322823156105e-05, + "loss": 3.8592, + "step": 3059 + }, + { + "epoch": 0.39, + "learning_rate": 3.472367969515124e-05, + "loss": 4.064, + "step": 3060 + }, + { + "epoch": 0.39, + "learning_rate": 3.4714129487128166e-05, + "loss": 4.0221, + "step": 3061 + }, + { + "epoch": 0.39, + "learning_rate": 3.470457760913362e-05, + "loss": 4.013, + "step": 3062 + }, + { + "epoch": 0.39, + "learning_rate": 3.4695024062809666e-05, + "loss": 4.013, + "step": 3063 + }, + { + "epoch": 0.39, + "learning_rate": 3.4685468849798684e-05, + "loss": 4.0152, + "step": 3064 + }, + { + "epoch": 0.39, + "learning_rate": 3.4675911971743324e-05, + "loss": 3.8647, + "step": 3065 + }, + { + "epoch": 0.39, + "learning_rate": 3.466635343028653e-05, + "loss": 3.9831, + "step": 3066 + }, + { + "epoch": 0.39, + "learning_rate": 3.465679322707152e-05, + "loss": 4.0793, + "step": 3067 + }, + { + "epoch": 0.39, + "learning_rate": 3.46472313637418e-05, + "loss": 3.8484, + "step": 3068 + }, + { + "epoch": 0.39, + "learning_rate": 3.463766784194116e-05, + "loss": 4.1333, + "step": 3069 + }, + { + "epoch": 0.39, + "learning_rate": 3.46281026633137e-05, + "loss": 4.0067, + "step": 3070 + }, + { + "epoch": 0.39, + "learning_rate": 3.4618535829503766e-05, + "loss": 3.9293, + "step": 3071 + }, + { + "epoch": 0.39, + "learning_rate": 3.4608967342156015e-05, + "loss": 3.8798, + "step": 3072 + }, + { + "epoch": 0.39, + "learning_rate": 3.459939720291539e-05, + "loss": 3.8039, + "step": 3073 + }, + { + "epoch": 0.39, + "learning_rate": 3.458982541342709e-05, + "loss": 3.981, + "step": 3074 + }, + { + "epoch": 0.39, + "learning_rate": 3.458025197533664e-05, + "loss": 3.9929, + "step": 3075 + }, + { + "epoch": 0.39, + "learning_rate": 3.4570676890289794e-05, + "loss": 4.0305, + "step": 3076 + }, + { + "epoch": 0.39, + "learning_rate": 3.456110015993265e-05, + "loss": 3.9973, + "step": 3077 + }, + { + "epoch": 0.39, + "learning_rate": 3.455152178591154e-05, + "loss": 4.0697, + "step": 3078 + }, + { + "epoch": 0.39, + "learning_rate": 3.454194176987311e-05, + "loss": 3.9082, + "step": 3079 + }, + { + "epoch": 0.39, + "learning_rate": 3.453236011346427e-05, + "loss": 3.9705, + "step": 3080 + }, + { + "epoch": 0.39, + "learning_rate": 3.4522776818332214e-05, + "loss": 3.9747, + "step": 3081 + }, + { + "epoch": 0.39, + "learning_rate": 3.451319188612443e-05, + "loss": 4.0139, + "step": 3082 + }, + { + "epoch": 0.39, + "learning_rate": 3.4503605318488664e-05, + "loss": 4.0164, + "step": 3083 + }, + { + "epoch": 0.39, + "learning_rate": 3.4494017117072976e-05, + "loss": 3.9665, + "step": 3084 + }, + { + "epoch": 0.39, + "learning_rate": 3.4484427283525684e-05, + "loss": 4.0115, + "step": 3085 + }, + { + "epoch": 0.4, + "learning_rate": 3.4474835819495384e-05, + "loss": 4.04, + "step": 3086 + }, + { + "epoch": 0.4, + "learning_rate": 3.4465242726630966e-05, + "loss": 4.1008, + "step": 3087 + }, + { + "epoch": 0.4, + "learning_rate": 3.4455648006581596e-05, + "loss": 4.0732, + "step": 3088 + }, + { + "epoch": 0.4, + "learning_rate": 3.444605166099672e-05, + "loss": 4.1936, + "step": 3089 + }, + { + "epoch": 0.4, + "learning_rate": 3.443645369152604e-05, + "loss": 4.0855, + "step": 3090 + }, + { + "epoch": 0.4, + "learning_rate": 3.442685409981958e-05, + "loss": 3.8749, + "step": 3091 + }, + { + "epoch": 0.4, + "learning_rate": 3.4417252887527616e-05, + "loss": 3.8895, + "step": 3092 + }, + { + "epoch": 0.4, + "learning_rate": 3.440765005630071e-05, + "loss": 4.0375, + "step": 3093 + }, + { + "epoch": 0.4, + "learning_rate": 3.4398045607789685e-05, + "loss": 3.9111, + "step": 3094 + }, + { + "epoch": 0.4, + "learning_rate": 3.4388439543645686e-05, + "loss": 4.07, + "step": 3095 + }, + { + "epoch": 0.4, + "learning_rate": 3.437883186552008e-05, + "loss": 4.0305, + "step": 3096 + }, + { + "epoch": 0.4, + "learning_rate": 3.436922257506454e-05, + "loss": 3.84, + "step": 3097 + }, + { + "epoch": 0.4, + "learning_rate": 3.435961167393103e-05, + "loss": 3.9063, + "step": 3098 + }, + { + "epoch": 0.4, + "learning_rate": 3.434999916377177e-05, + "loss": 4.11, + "step": 3099 + }, + { + "epoch": 0.4, + "learning_rate": 3.434038504623926e-05, + "loss": 4.1114, + "step": 3100 + }, + { + "epoch": 0.4, + "learning_rate": 3.433076932298627e-05, + "loss": 3.9966, + "step": 3101 + }, + { + "epoch": 0.4, + "learning_rate": 3.432115199566586e-05, + "loss": 4.067, + "step": 3102 + }, + { + "epoch": 0.4, + "learning_rate": 3.431153306593137e-05, + "loss": 4.0682, + "step": 3103 + }, + { + "epoch": 0.4, + "learning_rate": 3.43019125354364e-05, + "loss": 3.9562, + "step": 3104 + }, + { + "epoch": 0.4, + "learning_rate": 3.429229040583482e-05, + "loss": 4.0135, + "step": 3105 + }, + { + "epoch": 0.4, + "learning_rate": 3.428266667878079e-05, + "loss": 3.9895, + "step": 3106 + }, + { + "epoch": 0.4, + "learning_rate": 3.427304135592876e-05, + "loss": 4.0271, + "step": 3107 + }, + { + "epoch": 0.4, + "learning_rate": 3.426341443893341e-05, + "loss": 4.0794, + "step": 3108 + }, + { + "epoch": 0.4, + "learning_rate": 3.425378592944972e-05, + "loss": 4.0759, + "step": 3109 + }, + { + "epoch": 0.4, + "learning_rate": 3.4244155829132956e-05, + "loss": 4.042, + "step": 3110 + }, + { + "epoch": 0.4, + "learning_rate": 3.423452413963864e-05, + "loss": 3.9271, + "step": 3111 + }, + { + "epoch": 0.4, + "learning_rate": 3.4224890862622566e-05, + "loss": 4.0682, + "step": 3112 + }, + { + "epoch": 0.4, + "learning_rate": 3.4215255999740805e-05, + "loss": 3.9873, + "step": 3113 + }, + { + "epoch": 0.4, + "learning_rate": 3.420561955264972e-05, + "loss": 4.1215, + "step": 3114 + }, + { + "epoch": 0.4, + "learning_rate": 3.419598152300589e-05, + "loss": 3.952, + "step": 3115 + }, + { + "epoch": 0.4, + "learning_rate": 3.418634191246624e-05, + "loss": 3.9836, + "step": 3116 + }, + { + "epoch": 0.4, + "learning_rate": 3.417670072268792e-05, + "loss": 4.061, + "step": 3117 + }, + { + "epoch": 0.4, + "learning_rate": 3.416705795532836e-05, + "loss": 4.0543, + "step": 3118 + }, + { + "epoch": 0.4, + "learning_rate": 3.415741361204526e-05, + "loss": 4.0444, + "step": 3119 + }, + { + "epoch": 0.4, + "learning_rate": 3.41477676944966e-05, + "loss": 4.038, + "step": 3120 + }, + { + "epoch": 0.4, + "learning_rate": 3.4138120204340626e-05, + "loss": 4.0009, + "step": 3121 + }, + { + "epoch": 0.4, + "learning_rate": 3.4128471143235844e-05, + "loss": 4.1129, + "step": 3122 + }, + { + "epoch": 0.4, + "learning_rate": 3.4118820512841055e-05, + "loss": 4.0633, + "step": 3123 + }, + { + "epoch": 0.4, + "learning_rate": 3.41091683148153e-05, + "loss": 3.9973, + "step": 3124 + }, + { + "epoch": 0.4, + "learning_rate": 3.409951455081791e-05, + "loss": 3.9245, + "step": 3125 + }, + { + "epoch": 0.4, + "learning_rate": 3.4089859222508476e-05, + "loss": 4.1039, + "step": 3126 + }, + { + "epoch": 0.4, + "learning_rate": 3.408020233154686e-05, + "loss": 4.0323, + "step": 3127 + }, + { + "epoch": 0.4, + "learning_rate": 3.407054387959321e-05, + "loss": 3.8787, + "step": 3128 + }, + { + "epoch": 0.4, + "learning_rate": 3.40608838683079e-05, + "loss": 3.8693, + "step": 3129 + }, + { + "epoch": 0.4, + "learning_rate": 3.405122229935161e-05, + "loss": 3.9339, + "step": 3130 + }, + { + "epoch": 0.4, + "learning_rate": 3.4041559174385284e-05, + "loss": 4.0482, + "step": 3131 + }, + { + "epoch": 0.4, + "learning_rate": 3.4031894495070116e-05, + "loss": 3.9523, + "step": 3132 + }, + { + "epoch": 0.4, + "learning_rate": 3.402222826306757e-05, + "loss": 3.9385, + "step": 3133 + }, + { + "epoch": 0.4, + "learning_rate": 3.401256048003939e-05, + "loss": 3.9638, + "step": 3134 + }, + { + "epoch": 0.4, + "learning_rate": 3.4002891147647595e-05, + "loss": 4.0657, + "step": 3135 + }, + { + "epoch": 0.4, + "learning_rate": 3.399322026755443e-05, + "loss": 4.0567, + "step": 3136 + }, + { + "epoch": 0.4, + "learning_rate": 3.3983547841422444e-05, + "loss": 4.1076, + "step": 3137 + }, + { + "epoch": 0.4, + "learning_rate": 3.3973873870914434e-05, + "loss": 4.0444, + "step": 3138 + }, + { + "epoch": 0.4, + "learning_rate": 3.396419835769348e-05, + "loss": 4.0746, + "step": 3139 + }, + { + "epoch": 0.4, + "learning_rate": 3.39545213034229e-05, + "loss": 3.9478, + "step": 3140 + }, + { + "epoch": 0.4, + "learning_rate": 3.394484270976631e-05, + "loss": 3.9903, + "step": 3141 + }, + { + "epoch": 0.4, + "learning_rate": 3.393516257838755e-05, + "loss": 4.048, + "step": 3142 + }, + { + "epoch": 0.4, + "learning_rate": 3.3925480910950756e-05, + "loss": 4.0394, + "step": 3143 + }, + { + "epoch": 0.4, + "learning_rate": 3.391579770912032e-05, + "loss": 4.1413, + "step": 3144 + }, + { + "epoch": 0.4, + "learning_rate": 3.39061129745609e-05, + "loss": 4.0354, + "step": 3145 + }, + { + "epoch": 0.4, + "learning_rate": 3.389642670893742e-05, + "loss": 4.0256, + "step": 3146 + }, + { + "epoch": 0.4, + "learning_rate": 3.388673891391504e-05, + "loss": 3.8341, + "step": 3147 + }, + { + "epoch": 0.4, + "learning_rate": 3.387704959115922e-05, + "loss": 4.0235, + "step": 3148 + }, + { + "epoch": 0.4, + "learning_rate": 3.386735874233566e-05, + "loss": 3.911, + "step": 3149 + }, + { + "epoch": 0.4, + "learning_rate": 3.385766636911035e-05, + "loss": 3.8874, + "step": 3150 + }, + { + "epoch": 0.4, + "learning_rate": 3.384797247314949e-05, + "loss": 3.9922, + "step": 3151 + }, + { + "epoch": 0.4, + "learning_rate": 3.383827705611958e-05, + "loss": 3.8682, + "step": 3152 + }, + { + "epoch": 0.4, + "learning_rate": 3.38285801196874e-05, + "loss": 4.0416, + "step": 3153 + }, + { + "epoch": 0.4, + "learning_rate": 3.381888166551994e-05, + "loss": 3.9378, + "step": 3154 + }, + { + "epoch": 0.4, + "learning_rate": 3.3809181695284484e-05, + "loss": 3.9538, + "step": 3155 + }, + { + "epoch": 0.4, + "learning_rate": 3.379948021064857e-05, + "loss": 3.8916, + "step": 3156 + }, + { + "epoch": 0.4, + "learning_rate": 3.3789777213279986e-05, + "loss": 3.9522, + "step": 3157 + }, + { + "epoch": 0.4, + "learning_rate": 3.378007270484681e-05, + "loss": 3.9896, + "step": 3158 + }, + { + "epoch": 0.4, + "learning_rate": 3.377036668701735e-05, + "loss": 4.0061, + "step": 3159 + }, + { + "epoch": 0.4, + "learning_rate": 3.376065916146018e-05, + "loss": 4.0081, + "step": 3160 + }, + { + "epoch": 0.4, + "learning_rate": 3.375095012984413e-05, + "loss": 3.9647, + "step": 3161 + }, + { + "epoch": 0.4, + "learning_rate": 3.374123959383831e-05, + "loss": 3.9629, + "step": 3162 + }, + { + "epoch": 0.4, + "learning_rate": 3.373152755511207e-05, + "loss": 3.9681, + "step": 3163 + }, + { + "epoch": 0.4, + "learning_rate": 3.3721814015335014e-05, + "loss": 3.8971, + "step": 3164 + }, + { + "epoch": 0.41, + "learning_rate": 3.371209897617701e-05, + "loss": 3.971, + "step": 3165 + }, + { + "epoch": 0.41, + "learning_rate": 3.37023824393082e-05, + "loss": 3.9193, + "step": 3166 + }, + { + "epoch": 0.41, + "learning_rate": 3.3692664406398966e-05, + "loss": 3.953, + "step": 3167 + }, + { + "epoch": 0.41, + "learning_rate": 3.368294487911995e-05, + "loss": 3.9122, + "step": 3168 + }, + { + "epoch": 0.41, + "learning_rate": 3.367322385914203e-05, + "loss": 3.9719, + "step": 3169 + }, + { + "epoch": 0.41, + "learning_rate": 3.366350134813639e-05, + "loss": 3.9798, + "step": 3170 + }, + { + "epoch": 0.41, + "learning_rate": 3.365377734777444e-05, + "loss": 3.9449, + "step": 3171 + }, + { + "epoch": 0.41, + "learning_rate": 3.3644051859727835e-05, + "loss": 4.049, + "step": 3172 + }, + { + "epoch": 0.41, + "learning_rate": 3.36343248856685e-05, + "loss": 3.9062, + "step": 3173 + }, + { + "epoch": 0.41, + "learning_rate": 3.362459642726863e-05, + "loss": 4.06, + "step": 3174 + }, + { + "epoch": 0.41, + "learning_rate": 3.3614866486200635e-05, + "loss": 4.0455, + "step": 3175 + }, + { + "epoch": 0.41, + "learning_rate": 3.360513506413722e-05, + "loss": 3.9329, + "step": 3176 + }, + { + "epoch": 0.41, + "learning_rate": 3.359540216275134e-05, + "loss": 3.969, + "step": 3177 + }, + { + "epoch": 0.41, + "learning_rate": 3.358566778371618e-05, + "loss": 4.0549, + "step": 3178 + }, + { + "epoch": 0.41, + "learning_rate": 3.357593192870518e-05, + "loss": 4.0364, + "step": 3179 + }, + { + "epoch": 0.41, + "learning_rate": 3.356619459939208e-05, + "loss": 3.9665, + "step": 3180 + }, + { + "epoch": 0.41, + "learning_rate": 3.355645579745081e-05, + "loss": 4.04, + "step": 3181 + }, + { + "epoch": 0.41, + "learning_rate": 3.3546715524555594e-05, + "loss": 3.9089, + "step": 3182 + }, + { + "epoch": 0.41, + "learning_rate": 3.35369737823809e-05, + "loss": 3.908, + "step": 3183 + }, + { + "epoch": 0.41, + "learning_rate": 3.3527230572601444e-05, + "loss": 3.9871, + "step": 3184 + }, + { + "epoch": 0.41, + "learning_rate": 3.351748589689219e-05, + "loss": 3.9398, + "step": 3185 + }, + { + "epoch": 0.41, + "learning_rate": 3.350773975692837e-05, + "loss": 3.9282, + "step": 3186 + }, + { + "epoch": 0.41, + "learning_rate": 3.349799215438546e-05, + "loss": 4.0373, + "step": 3187 + }, + { + "epoch": 0.41, + "learning_rate": 3.348824309093918e-05, + "loss": 3.9208, + "step": 3188 + }, + { + "epoch": 0.41, + "learning_rate": 3.3478492568265507e-05, + "loss": 3.9495, + "step": 3189 + }, + { + "epoch": 0.41, + "learning_rate": 3.346874058804067e-05, + "loss": 3.9343, + "step": 3190 + }, + { + "epoch": 0.41, + "learning_rate": 3.345898715194115e-05, + "loss": 3.9516, + "step": 3191 + }, + { + "epoch": 0.41, + "learning_rate": 3.344923226164368e-05, + "loss": 3.9131, + "step": 3192 + }, + { + "epoch": 0.41, + "learning_rate": 3.343947591882521e-05, + "loss": 3.8381, + "step": 3193 + }, + { + "epoch": 0.41, + "learning_rate": 3.3429718125163015e-05, + "loss": 4.1283, + "step": 3194 + }, + { + "epoch": 0.41, + "learning_rate": 3.3419958882334536e-05, + "loss": 3.987, + "step": 3195 + }, + { + "epoch": 0.41, + "learning_rate": 3.341019819201752e-05, + "loss": 3.8953, + "step": 3196 + }, + { + "epoch": 0.41, + "learning_rate": 3.340043605588993e-05, + "loss": 3.8537, + "step": 3197 + }, + { + "epoch": 0.41, + "learning_rate": 3.3390672475629995e-05, + "loss": 3.9903, + "step": 3198 + }, + { + "epoch": 0.41, + "learning_rate": 3.338090745291619e-05, + "loss": 3.8459, + "step": 3199 + }, + { + "epoch": 0.41, + "learning_rate": 3.3371140989427235e-05, + "loss": 4.0258, + "step": 3200 + }, + { + "epoch": 0.41, + "learning_rate": 3.3361373086842095e-05, + "loss": 3.9321, + "step": 3201 + }, + { + "epoch": 0.41, + "learning_rate": 3.335160374683999e-05, + "loss": 3.9908, + "step": 3202 + }, + { + "epoch": 0.41, + "learning_rate": 3.334183297110038e-05, + "loss": 3.9652, + "step": 3203 + }, + { + "epoch": 0.41, + "learning_rate": 3.333206076130298e-05, + "loss": 4.0855, + "step": 3204 + }, + { + "epoch": 0.41, + "learning_rate": 3.332228711912773e-05, + "loss": 4.0262, + "step": 3205 + }, + { + "epoch": 0.41, + "learning_rate": 3.331251204625485e-05, + "loss": 3.9255, + "step": 3206 + }, + { + "epoch": 0.41, + "learning_rate": 3.3302735544364797e-05, + "loss": 3.9251, + "step": 3207 + }, + { + "epoch": 0.41, + "learning_rate": 3.329295761513822e-05, + "loss": 3.9618, + "step": 3208 + }, + { + "epoch": 0.41, + "learning_rate": 3.328317826025611e-05, + "loss": 3.878, + "step": 3209 + }, + { + "epoch": 0.41, + "learning_rate": 3.3273397481399626e-05, + "loss": 3.9248, + "step": 3210 + }, + { + "epoch": 0.41, + "learning_rate": 3.326361528025021e-05, + "loss": 3.9507, + "step": 3211 + }, + { + "epoch": 0.41, + "learning_rate": 3.3253831658489507e-05, + "loss": 3.9415, + "step": 3212 + }, + { + "epoch": 0.41, + "learning_rate": 3.3244046617799473e-05, + "loss": 3.8668, + "step": 3213 + }, + { + "epoch": 0.41, + "learning_rate": 3.323426015986225e-05, + "loss": 3.8841, + "step": 3214 + }, + { + "epoch": 0.41, + "learning_rate": 3.3224472286360234e-05, + "loss": 3.8417, + "step": 3215 + }, + { + "epoch": 0.41, + "learning_rate": 3.32146829989761e-05, + "loss": 3.9909, + "step": 3216 + }, + { + "epoch": 0.41, + "learning_rate": 3.3204892299392715e-05, + "loss": 3.8904, + "step": 3217 + }, + { + "epoch": 0.41, + "learning_rate": 3.319510018929323e-05, + "loss": 3.9341, + "step": 3218 + }, + { + "epoch": 0.41, + "learning_rate": 3.3185306670361016e-05, + "loss": 3.9409, + "step": 3219 + }, + { + "epoch": 0.41, + "learning_rate": 3.31755117442797e-05, + "loss": 3.932, + "step": 3220 + }, + { + "epoch": 0.41, + "learning_rate": 3.316571541273312e-05, + "loss": 3.9597, + "step": 3221 + }, + { + "epoch": 0.41, + "learning_rate": 3.315591767740541e-05, + "loss": 3.9256, + "step": 3222 + }, + { + "epoch": 0.41, + "learning_rate": 3.314611853998089e-05, + "loss": 3.9847, + "step": 3223 + }, + { + "epoch": 0.41, + "learning_rate": 3.3136318002144165e-05, + "loss": 4.0298, + "step": 3224 + }, + { + "epoch": 0.41, + "learning_rate": 3.312651606558004e-05, + "loss": 3.9258, + "step": 3225 + }, + { + "epoch": 0.41, + "learning_rate": 3.31167127319736e-05, + "loss": 3.8805, + "step": 3226 + }, + { + "epoch": 0.41, + "learning_rate": 3.310690800301014e-05, + "loss": 4.043, + "step": 3227 + }, + { + "epoch": 0.41, + "learning_rate": 3.3097101880375215e-05, + "loss": 3.8345, + "step": 3228 + }, + { + "epoch": 0.41, + "learning_rate": 3.308729436575461e-05, + "loss": 4.1037, + "step": 3229 + }, + { + "epoch": 0.41, + "learning_rate": 3.307748546083434e-05, + "loss": 4.0772, + "step": 3230 + }, + { + "epoch": 0.41, + "learning_rate": 3.3067675167300676e-05, + "loss": 3.8763, + "step": 3231 + }, + { + "epoch": 0.41, + "learning_rate": 3.305786348684013e-05, + "loss": 3.9972, + "step": 3232 + }, + { + "epoch": 0.41, + "learning_rate": 3.304805042113943e-05, + "loss": 3.93, + "step": 3233 + }, + { + "epoch": 0.41, + "learning_rate": 3.303823597188557e-05, + "loss": 3.9705, + "step": 3234 + }, + { + "epoch": 0.41, + "learning_rate": 3.302842014076575e-05, + "loss": 4.014, + "step": 3235 + }, + { + "epoch": 0.41, + "learning_rate": 3.3018602929467435e-05, + "loss": 4.106, + "step": 3236 + }, + { + "epoch": 0.41, + "learning_rate": 3.300878433967832e-05, + "loss": 3.9671, + "step": 3237 + }, + { + "epoch": 0.41, + "learning_rate": 3.2998964373086336e-05, + "loss": 3.9878, + "step": 3238 + }, + { + "epoch": 0.41, + "learning_rate": 3.298914303137964e-05, + "loss": 4.0429, + "step": 3239 + }, + { + "epoch": 0.41, + "learning_rate": 3.297932031624663e-05, + "loss": 4.0489, + "step": 3240 + }, + { + "epoch": 0.41, + "learning_rate": 3.2969496229375966e-05, + "loss": 3.8748, + "step": 3241 + }, + { + "epoch": 0.41, + "learning_rate": 3.29596707724565e-05, + "loss": 4.002, + "step": 3242 + }, + { + "epoch": 0.42, + "learning_rate": 3.294984394717736e-05, + "loss": 3.9928, + "step": 3243 + }, + { + "epoch": 0.42, + "learning_rate": 3.2940015755227885e-05, + "loss": 3.9229, + "step": 3244 + }, + { + "epoch": 0.42, + "learning_rate": 3.2930186198297644e-05, + "loss": 3.9587, + "step": 3245 + }, + { + "epoch": 0.42, + "learning_rate": 3.2920355278076466e-05, + "loss": 3.8819, + "step": 3246 + }, + { + "epoch": 0.42, + "learning_rate": 3.291052299625439e-05, + "loss": 4.0663, + "step": 3247 + }, + { + "epoch": 0.42, + "learning_rate": 3.290068935452171e-05, + "loss": 4.0265, + "step": 3248 + }, + { + "epoch": 0.42, + "learning_rate": 3.2890854354568935e-05, + "loss": 4.0633, + "step": 3249 + }, + { + "epoch": 0.42, + "learning_rate": 3.288101799808682e-05, + "loss": 3.9866, + "step": 3250 + }, + { + "epoch": 0.42, + "learning_rate": 3.287118028676634e-05, + "loss": 3.9995, + "step": 3251 + }, + { + "epoch": 0.42, + "learning_rate": 3.2861341222298724e-05, + "loss": 3.9084, + "step": 3252 + }, + { + "epoch": 0.42, + "learning_rate": 3.2851500806375415e-05, + "loss": 4.0255, + "step": 3253 + }, + { + "epoch": 0.42, + "learning_rate": 3.28416590406881e-05, + "loss": 3.9481, + "step": 3254 + }, + { + "epoch": 0.42, + "learning_rate": 3.283181592692868e-05, + "loss": 4.0281, + "step": 3255 + }, + { + "epoch": 0.42, + "learning_rate": 3.2821971466789306e-05, + "loss": 3.9559, + "step": 3256 + }, + { + "epoch": 0.42, + "learning_rate": 3.281212566196236e-05, + "loss": 4.1112, + "step": 3257 + }, + { + "epoch": 0.42, + "learning_rate": 3.280227851414044e-05, + "loss": 4.0928, + "step": 3258 + }, + { + "epoch": 0.42, + "learning_rate": 3.279243002501641e-05, + "loss": 3.9763, + "step": 3259 + }, + { + "epoch": 0.42, + "learning_rate": 3.278258019628331e-05, + "loss": 4.0709, + "step": 3260 + }, + { + "epoch": 0.42, + "learning_rate": 3.2772729029634455e-05, + "loss": 4.0819, + "step": 3261 + }, + { + "epoch": 0.42, + "learning_rate": 3.276287652676336e-05, + "loss": 3.9365, + "step": 3262 + }, + { + "epoch": 0.42, + "learning_rate": 3.27530226893638e-05, + "loss": 3.882, + "step": 3263 + }, + { + "epoch": 0.42, + "learning_rate": 3.274316751912976e-05, + "loss": 3.9934, + "step": 3264 + }, + { + "epoch": 0.42, + "learning_rate": 3.273331101775546e-05, + "loss": 4.0623, + "step": 3265 + }, + { + "epoch": 0.42, + "learning_rate": 3.272345318693534e-05, + "loss": 4.0107, + "step": 3266 + }, + { + "epoch": 0.42, + "learning_rate": 3.271359402836408e-05, + "loss": 3.9061, + "step": 3267 + }, + { + "epoch": 0.42, + "learning_rate": 3.2703733543736585e-05, + "loss": 3.9342, + "step": 3268 + }, + { + "epoch": 0.42, + "learning_rate": 3.2693871734747986e-05, + "loss": 3.9304, + "step": 3269 + }, + { + "epoch": 0.42, + "learning_rate": 3.2684008603093634e-05, + "loss": 3.908, + "step": 3270 + }, + { + "epoch": 0.42, + "learning_rate": 3.2674144150469135e-05, + "loss": 3.969, + "step": 3271 + }, + { + "epoch": 0.42, + "learning_rate": 3.2664278378570274e-05, + "loss": 3.8257, + "step": 3272 + }, + { + "epoch": 0.42, + "learning_rate": 3.265441128909311e-05, + "loss": 3.9947, + "step": 3273 + }, + { + "epoch": 0.42, + "learning_rate": 3.264454288373392e-05, + "loss": 4.1109, + "step": 3274 + }, + { + "epoch": 0.42, + "learning_rate": 3.263467316418918e-05, + "loss": 4.0165, + "step": 3275 + }, + { + "epoch": 0.42, + "learning_rate": 3.262480213215561e-05, + "loss": 3.9707, + "step": 3276 + }, + { + "epoch": 0.42, + "learning_rate": 3.2614929789330154e-05, + "loss": 3.9668, + "step": 3277 + }, + { + "epoch": 0.42, + "learning_rate": 3.260505613741e-05, + "loss": 4.0724, + "step": 3278 + }, + { + "epoch": 0.42, + "learning_rate": 3.259518117809252e-05, + "loss": 3.9716, + "step": 3279 + }, + { + "epoch": 0.42, + "learning_rate": 3.258530491307535e-05, + "loss": 4.1494, + "step": 3280 + }, + { + "epoch": 0.42, + "learning_rate": 3.257542734405634e-05, + "loss": 4.0666, + "step": 3281 + }, + { + "epoch": 0.42, + "learning_rate": 3.256554847273353e-05, + "loss": 3.9298, + "step": 3282 + }, + { + "epoch": 0.42, + "learning_rate": 3.2555668300805235e-05, + "loss": 3.9868, + "step": 3283 + }, + { + "epoch": 0.42, + "learning_rate": 3.254578682996997e-05, + "loss": 3.8321, + "step": 3284 + }, + { + "epoch": 0.42, + "learning_rate": 3.2535904061926476e-05, + "loss": 4.0886, + "step": 3285 + }, + { + "epoch": 0.42, + "learning_rate": 3.2526019998373705e-05, + "loss": 3.9169, + "step": 3286 + }, + { + "epoch": 0.42, + "learning_rate": 3.2516134641010836e-05, + "loss": 3.9413, + "step": 3287 + }, + { + "epoch": 0.42, + "learning_rate": 3.25062479915373e-05, + "loss": 4.0114, + "step": 3288 + }, + { + "epoch": 0.42, + "learning_rate": 3.249636005165271e-05, + "loss": 4.0329, + "step": 3289 + }, + { + "epoch": 0.42, + "learning_rate": 3.248647082305693e-05, + "loss": 3.8731, + "step": 3290 + }, + { + "epoch": 0.42, + "learning_rate": 3.2476580307450014e-05, + "loss": 3.9339, + "step": 3291 + }, + { + "epoch": 0.42, + "learning_rate": 3.2466688506532275e-05, + "loss": 4.0185, + "step": 3292 + }, + { + "epoch": 0.42, + "learning_rate": 3.245679542200422e-05, + "loss": 4.0681, + "step": 3293 + }, + { + "epoch": 0.42, + "learning_rate": 3.244690105556657e-05, + "loss": 4.0676, + "step": 3294 + }, + { + "epoch": 0.42, + "learning_rate": 3.2437005408920315e-05, + "loss": 3.9295, + "step": 3295 + }, + { + "epoch": 0.42, + "learning_rate": 3.242710848376661e-05, + "loss": 3.9731, + "step": 3296 + }, + { + "epoch": 0.42, + "learning_rate": 3.2417210281806844e-05, + "loss": 3.9681, + "step": 3297 + }, + { + "epoch": 0.42, + "learning_rate": 3.240731080474265e-05, + "loss": 3.8936, + "step": 3298 + }, + { + "epoch": 0.42, + "learning_rate": 3.239741005427586e-05, + "loss": 4.0357, + "step": 3299 + }, + { + "epoch": 0.42, + "learning_rate": 3.2387508032108515e-05, + "loss": 4.0009, + "step": 3300 + }, + { + "epoch": 0.42, + "learning_rate": 3.23776047399429e-05, + "loss": 3.9981, + "step": 3301 + }, + { + "epoch": 0.42, + "learning_rate": 3.23677001794815e-05, + "loss": 4.0019, + "step": 3302 + }, + { + "epoch": 0.42, + "learning_rate": 3.235779435242703e-05, + "loss": 3.7997, + "step": 3303 + }, + { + "epoch": 0.42, + "learning_rate": 3.234788726048241e-05, + "loss": 3.8907, + "step": 3304 + }, + { + "epoch": 0.42, + "learning_rate": 3.233797890535079e-05, + "loss": 3.9046, + "step": 3305 + }, + { + "epoch": 0.42, + "learning_rate": 3.2328069288735515e-05, + "loss": 3.7728, + "step": 3306 + }, + { + "epoch": 0.42, + "learning_rate": 3.231815841234019e-05, + "loss": 3.9364, + "step": 3307 + }, + { + "epoch": 0.42, + "learning_rate": 3.230824627786858e-05, + "loss": 4.0983, + "step": 3308 + }, + { + "epoch": 0.42, + "learning_rate": 3.2298332887024716e-05, + "loss": 3.9454, + "step": 3309 + }, + { + "epoch": 0.42, + "learning_rate": 3.228841824151283e-05, + "loss": 3.785, + "step": 3310 + }, + { + "epoch": 0.42, + "learning_rate": 3.2278502343037344e-05, + "loss": 3.8934, + "step": 3311 + }, + { + "epoch": 0.42, + "learning_rate": 3.226858519330292e-05, + "loss": 4.0249, + "step": 3312 + }, + { + "epoch": 0.42, + "learning_rate": 3.225866679401444e-05, + "loss": 3.8401, + "step": 3313 + }, + { + "epoch": 0.42, + "learning_rate": 3.224874714687699e-05, + "loss": 3.9602, + "step": 3314 + }, + { + "epoch": 0.42, + "learning_rate": 3.223882625359587e-05, + "loss": 3.9771, + "step": 3315 + }, + { + "epoch": 0.42, + "learning_rate": 3.2228904115876604e-05, + "loss": 3.9111, + "step": 3316 + }, + { + "epoch": 0.42, + "learning_rate": 3.221898073542491e-05, + "loss": 4.0932, + "step": 3317 + }, + { + "epoch": 0.42, + "learning_rate": 3.220905611394674e-05, + "loss": 4.1247, + "step": 3318 + }, + { + "epoch": 0.42, + "learning_rate": 3.219913025314824e-05, + "loss": 3.8526, + "step": 3319 + }, + { + "epoch": 0.42, + "learning_rate": 3.2189203154735804e-05, + "loss": 3.9973, + "step": 3320 + }, + { + "epoch": 0.43, + "learning_rate": 3.2179274820415995e-05, + "loss": 3.895, + "step": 3321 + }, + { + "epoch": 0.43, + "learning_rate": 3.216934525189561e-05, + "loss": 3.9762, + "step": 3322 + }, + { + "epoch": 0.43, + "learning_rate": 3.215941445088167e-05, + "loss": 4.0244, + "step": 3323 + }, + { + "epoch": 0.43, + "learning_rate": 3.214948241908138e-05, + "loss": 4.1189, + "step": 3324 + }, + { + "epoch": 0.43, + "learning_rate": 3.213954915820219e-05, + "loss": 4.1074, + "step": 3325 + }, + { + "epoch": 0.43, + "learning_rate": 3.212961466995172e-05, + "loss": 4.0735, + "step": 3326 + }, + { + "epoch": 0.43, + "learning_rate": 3.2119678956037844e-05, + "loss": 4.1732, + "step": 3327 + }, + { + "epoch": 0.43, + "learning_rate": 3.21097420181686e-05, + "loss": 3.8745, + "step": 3328 + }, + { + "epoch": 0.43, + "learning_rate": 3.20998038580523e-05, + "loss": 4.0284, + "step": 3329 + }, + { + "epoch": 0.43, + "learning_rate": 3.20898644773974e-05, + "loss": 3.8693, + "step": 3330 + }, + { + "epoch": 0.43, + "learning_rate": 3.2079923877912605e-05, + "loss": 3.9623, + "step": 3331 + }, + { + "epoch": 0.43, + "learning_rate": 3.2069982061306815e-05, + "loss": 4.0317, + "step": 3332 + }, + { + "epoch": 0.43, + "learning_rate": 3.206003902928914e-05, + "loss": 3.8455, + "step": 3333 + }, + { + "epoch": 0.43, + "learning_rate": 3.205009478356892e-05, + "loss": 3.82, + "step": 3334 + }, + { + "epoch": 0.43, + "learning_rate": 3.2040149325855675e-05, + "loss": 3.9071, + "step": 3335 + }, + { + "epoch": 0.43, + "learning_rate": 3.203020265785914e-05, + "loss": 4.0406, + "step": 3336 + }, + { + "epoch": 0.43, + "learning_rate": 3.202025478128926e-05, + "loss": 3.9643, + "step": 3337 + }, + { + "epoch": 0.43, + "learning_rate": 3.2010305697856216e-05, + "loss": 3.9544, + "step": 3338 + }, + { + "epoch": 0.43, + "learning_rate": 3.200035540927034e-05, + "loss": 4.0916, + "step": 3339 + }, + { + "epoch": 0.43, + "learning_rate": 3.199040391724221e-05, + "loss": 3.9389, + "step": 3340 + }, + { + "epoch": 0.43, + "learning_rate": 3.198045122348262e-05, + "loss": 3.8628, + "step": 3341 + }, + { + "epoch": 0.43, + "learning_rate": 3.1970497329702526e-05, + "loss": 3.8573, + "step": 3342 + }, + { + "epoch": 0.43, + "learning_rate": 3.196054223761315e-05, + "loss": 3.9744, + "step": 3343 + }, + { + "epoch": 0.43, + "learning_rate": 3.195058594892585e-05, + "loss": 3.894, + "step": 3344 + }, + { + "epoch": 0.43, + "learning_rate": 3.194062846535226e-05, + "loss": 3.9998, + "step": 3345 + }, + { + "epoch": 0.43, + "learning_rate": 3.1930669788604165e-05, + "loss": 3.992, + "step": 3346 + }, + { + "epoch": 0.43, + "learning_rate": 3.1920709920393595e-05, + "loss": 3.8247, + "step": 3347 + }, + { + "epoch": 0.43, + "learning_rate": 3.191074886243275e-05, + "loss": 3.8871, + "step": 3348 + }, + { + "epoch": 0.43, + "learning_rate": 3.190078661643406e-05, + "loss": 4.0399, + "step": 3349 + }, + { + "epoch": 0.43, + "learning_rate": 3.1890823184110166e-05, + "loss": 3.9778, + "step": 3350 + }, + { + "epoch": 0.43, + "learning_rate": 3.188085856717386e-05, + "loss": 4.0857, + "step": 3351 + }, + { + "epoch": 0.43, + "learning_rate": 3.1870892767338204e-05, + "loss": 4.0873, + "step": 3352 + }, + { + "epoch": 0.43, + "learning_rate": 3.186092578631643e-05, + "loss": 3.9719, + "step": 3353 + }, + { + "epoch": 0.43, + "learning_rate": 3.185095762582197e-05, + "loss": 4.0336, + "step": 3354 + }, + { + "epoch": 0.43, + "learning_rate": 3.1840988287568474e-05, + "loss": 3.9267, + "step": 3355 + }, + { + "epoch": 0.43, + "learning_rate": 3.183101777326978e-05, + "loss": 4.0036, + "step": 3356 + }, + { + "epoch": 0.43, + "learning_rate": 3.182104608463995e-05, + "loss": 3.9964, + "step": 3357 + }, + { + "epoch": 0.43, + "learning_rate": 3.181107322339321e-05, + "loss": 4.0037, + "step": 3358 + }, + { + "epoch": 0.43, + "learning_rate": 3.180109919124403e-05, + "loss": 3.9813, + "step": 3359 + }, + { + "epoch": 0.43, + "learning_rate": 3.179112398990705e-05, + "loss": 3.8695, + "step": 3360 + }, + { + "epoch": 0.43, + "learning_rate": 3.178114762109712e-05, + "loss": 4.0287, + "step": 3361 + }, + { + "epoch": 0.43, + "learning_rate": 3.177117008652931e-05, + "loss": 4.0254, + "step": 3362 + }, + { + "epoch": 0.43, + "learning_rate": 3.176119138791886e-05, + "loss": 3.9424, + "step": 3363 + }, + { + "epoch": 0.43, + "learning_rate": 3.1751211526981235e-05, + "loss": 3.9943, + "step": 3364 + }, + { + "epoch": 0.43, + "learning_rate": 3.174123050543207e-05, + "loss": 3.9515, + "step": 3365 + }, + { + "epoch": 0.43, + "learning_rate": 3.173124832498724e-05, + "loss": 3.969, + "step": 3366 + }, + { + "epoch": 0.43, + "learning_rate": 3.172126498736278e-05, + "loss": 4.0461, + "step": 3367 + }, + { + "epoch": 0.43, + "learning_rate": 3.171128049427496e-05, + "loss": 3.8583, + "step": 3368 + }, + { + "epoch": 0.43, + "learning_rate": 3.17012948474402e-05, + "loss": 3.9584, + "step": 3369 + }, + { + "epoch": 0.43, + "learning_rate": 3.1691308048575186e-05, + "loss": 4.0352, + "step": 3370 + }, + { + "epoch": 0.43, + "learning_rate": 3.168132009939674e-05, + "loss": 3.9818, + "step": 3371 + }, + { + "epoch": 0.43, + "learning_rate": 3.1671331001621906e-05, + "loss": 3.9862, + "step": 3372 + }, + { + "epoch": 0.43, + "learning_rate": 3.1661340756967945e-05, + "loss": 4.0929, + "step": 3373 + }, + { + "epoch": 0.43, + "learning_rate": 3.165134936715227e-05, + "loss": 3.9355, + "step": 3374 + }, + { + "epoch": 0.43, + "learning_rate": 3.1641356833892544e-05, + "loss": 4.0903, + "step": 3375 + }, + { + "epoch": 0.43, + "learning_rate": 3.163136315890657e-05, + "loss": 3.9364, + "step": 3376 + }, + { + "epoch": 0.43, + "learning_rate": 3.16213683439124e-05, + "loss": 3.9288, + "step": 3377 + }, + { + "epoch": 0.43, + "learning_rate": 3.1611372390628255e-05, + "loss": 3.8635, + "step": 3378 + }, + { + "epoch": 0.43, + "learning_rate": 3.160137530077254e-05, + "loss": 4.0043, + "step": 3379 + }, + { + "epoch": 0.43, + "learning_rate": 3.1591377076063885e-05, + "loss": 3.9274, + "step": 3380 + }, + { + "epoch": 0.43, + "learning_rate": 3.1581377718221095e-05, + "loss": 4.0234, + "step": 3381 + }, + { + "epoch": 0.43, + "learning_rate": 3.157137722896318e-05, + "loss": 3.949, + "step": 3382 + }, + { + "epoch": 0.43, + "learning_rate": 3.156137561000933e-05, + "loss": 4.0474, + "step": 3383 + }, + { + "epoch": 0.43, + "learning_rate": 3.155137286307896e-05, + "loss": 3.9643, + "step": 3384 + }, + { + "epoch": 0.43, + "learning_rate": 3.154136898989164e-05, + "loss": 3.9349, + "step": 3385 + }, + { + "epoch": 0.43, + "learning_rate": 3.153136399216715e-05, + "loss": 3.8351, + "step": 3386 + }, + { + "epoch": 0.43, + "learning_rate": 3.152135787162548e-05, + "loss": 3.8407, + "step": 3387 + }, + { + "epoch": 0.43, + "learning_rate": 3.151135062998678e-05, + "loss": 4.0115, + "step": 3388 + }, + { + "epoch": 0.43, + "learning_rate": 3.1501342268971434e-05, + "loss": 4.01, + "step": 3389 + }, + { + "epoch": 0.43, + "learning_rate": 3.149133279029997e-05, + "loss": 3.8795, + "step": 3390 + }, + { + "epoch": 0.43, + "learning_rate": 3.148132219569315e-05, + "loss": 4.1283, + "step": 3391 + }, + { + "epoch": 0.43, + "learning_rate": 3.1471310486871914e-05, + "loss": 3.8794, + "step": 3392 + }, + { + "epoch": 0.43, + "learning_rate": 3.146129766555737e-05, + "loss": 4.0097, + "step": 3393 + }, + { + "epoch": 0.43, + "learning_rate": 3.145128373347086e-05, + "loss": 4.0319, + "step": 3394 + }, + { + "epoch": 0.43, + "learning_rate": 3.1441268692333885e-05, + "loss": 3.9434, + "step": 3395 + }, + { + "epoch": 0.43, + "learning_rate": 3.143125254386815e-05, + "loss": 4.0516, + "step": 3396 + }, + { + "epoch": 0.43, + "learning_rate": 3.142123528979554e-05, + "loss": 4.0987, + "step": 3397 + }, + { + "epoch": 0.43, + "learning_rate": 3.141121693183814e-05, + "loss": 3.9173, + "step": 3398 + }, + { + "epoch": 0.44, + "learning_rate": 3.140119747171824e-05, + "loss": 3.9804, + "step": 3399 + }, + { + "epoch": 0.44, + "learning_rate": 3.1391176911158274e-05, + "loss": 3.9457, + "step": 3400 + }, + { + "epoch": 0.44, + "learning_rate": 3.13811552518809e-05, + "loss": 3.9103, + "step": 3401 + }, + { + "epoch": 0.44, + "learning_rate": 3.137113249560896e-05, + "loss": 4.0242, + "step": 3402 + }, + { + "epoch": 0.44, + "learning_rate": 3.13611086440655e-05, + "loss": 3.8795, + "step": 3403 + }, + { + "epoch": 0.44, + "learning_rate": 3.13510836989737e-05, + "loss": 3.8922, + "step": 3404 + }, + { + "epoch": 0.44, + "learning_rate": 3.1341057662057e-05, + "loss": 3.8732, + "step": 3405 + }, + { + "epoch": 0.44, + "learning_rate": 3.133103053503896e-05, + "loss": 3.9103, + "step": 3406 + }, + { + "epoch": 0.44, + "learning_rate": 3.132100231964339e-05, + "loss": 3.8404, + "step": 3407 + }, + { + "epoch": 0.44, + "learning_rate": 3.1310973017594235e-05, + "loss": 4.0465, + "step": 3408 + }, + { + "epoch": 0.44, + "learning_rate": 3.130094263061566e-05, + "loss": 4.0442, + "step": 3409 + }, + { + "epoch": 0.44, + "learning_rate": 3.1290911160432e-05, + "loss": 4.0878, + "step": 3410 + }, + { + "epoch": 0.44, + "learning_rate": 3.128087860876778e-05, + "loss": 3.8821, + "step": 3411 + }, + { + "epoch": 0.44, + "learning_rate": 3.1270844977347705e-05, + "loss": 4.0216, + "step": 3412 + }, + { + "epoch": 0.44, + "learning_rate": 3.126081026789669e-05, + "loss": 3.9092, + "step": 3413 + }, + { + "epoch": 0.44, + "learning_rate": 3.125077448213981e-05, + "loss": 4.0514, + "step": 3414 + }, + { + "epoch": 0.44, + "learning_rate": 3.124073762180232e-05, + "loss": 4.0512, + "step": 3415 + }, + { + "epoch": 0.44, + "learning_rate": 3.1230699688609695e-05, + "loss": 3.8939, + "step": 3416 + }, + { + "epoch": 0.44, + "learning_rate": 3.1220660684287555e-05, + "loss": 3.9552, + "step": 3417 + }, + { + "epoch": 0.44, + "learning_rate": 3.1210620610561735e-05, + "loss": 4.0413, + "step": 3418 + }, + { + "epoch": 0.44, + "learning_rate": 3.120057946915822e-05, + "loss": 3.9939, + "step": 3419 + }, + { + "epoch": 0.44, + "learning_rate": 3.1190537261803214e-05, + "loss": 4.0196, + "step": 3420 + }, + { + "epoch": 0.44, + "learning_rate": 3.118049399022309e-05, + "loss": 4.0411, + "step": 3421 + }, + { + "epoch": 0.44, + "learning_rate": 3.11704496561444e-05, + "loss": 3.9252, + "step": 3422 + }, + { + "epoch": 0.44, + "learning_rate": 3.116040426129388e-05, + "loss": 3.9783, + "step": 3423 + }, + { + "epoch": 0.44, + "learning_rate": 3.115035780739845e-05, + "loss": 4.0584, + "step": 3424 + }, + { + "epoch": 0.44, + "learning_rate": 3.114031029618521e-05, + "loss": 3.9264, + "step": 3425 + }, + { + "epoch": 0.44, + "learning_rate": 3.1130261729381435e-05, + "loss": 4.0036, + "step": 3426 + }, + { + "epoch": 0.44, + "learning_rate": 3.112021210871462e-05, + "loss": 4.0007, + "step": 3427 + }, + { + "epoch": 0.44, + "learning_rate": 3.111016143591238e-05, + "loss": 4.0585, + "step": 3428 + }, + { + "epoch": 0.44, + "learning_rate": 3.1100109712702556e-05, + "loss": 3.993, + "step": 3429 + }, + { + "epoch": 0.44, + "learning_rate": 3.109005694081315e-05, + "loss": 3.7466, + "step": 3430 + }, + { + "epoch": 0.44, + "learning_rate": 3.108000312197236e-05, + "loss": 3.9402, + "step": 3431 + }, + { + "epoch": 0.44, + "learning_rate": 3.106994825790855e-05, + "loss": 3.9776, + "step": 3432 + }, + { + "epoch": 0.44, + "learning_rate": 3.1059892350350264e-05, + "loss": 3.9824, + "step": 3433 + }, + { + "epoch": 0.44, + "learning_rate": 3.104983540102622e-05, + "loss": 4.0618, + "step": 3434 + }, + { + "epoch": 0.44, + "learning_rate": 3.103977741166535e-05, + "loss": 3.8837, + "step": 3435 + }, + { + "epoch": 0.44, + "learning_rate": 3.102971838399672e-05, + "loss": 4.0214, + "step": 3436 + }, + { + "epoch": 0.44, + "learning_rate": 3.101965831974959e-05, + "loss": 3.8353, + "step": 3437 + }, + { + "epoch": 0.44, + "learning_rate": 3.100959722065342e-05, + "loss": 3.9392, + "step": 3438 + }, + { + "epoch": 0.44, + "learning_rate": 3.099953508843781e-05, + "loss": 4.0231, + "step": 3439 + }, + { + "epoch": 0.44, + "learning_rate": 3.0989471924832564e-05, + "loss": 3.9447, + "step": 3440 + }, + { + "epoch": 0.44, + "learning_rate": 3.097940773156766e-05, + "loss": 4.0341, + "step": 3441 + }, + { + "epoch": 0.44, + "learning_rate": 3.0969342510373255e-05, + "loss": 4.0455, + "step": 3442 + }, + { + "epoch": 0.44, + "learning_rate": 3.095927626297966e-05, + "loss": 4.0543, + "step": 3443 + }, + { + "epoch": 0.44, + "learning_rate": 3.094920899111739e-05, + "loss": 3.912, + "step": 3444 + }, + { + "epoch": 0.44, + "learning_rate": 3.093914069651714e-05, + "loss": 3.8783, + "step": 3445 + }, + { + "epoch": 0.44, + "learning_rate": 3.092907138090974e-05, + "loss": 3.9927, + "step": 3446 + }, + { + "epoch": 0.44, + "learning_rate": 3.091900104602623e-05, + "loss": 3.9612, + "step": 3447 + }, + { + "epoch": 0.44, + "learning_rate": 3.0908929693597826e-05, + "loss": 3.9524, + "step": 3448 + }, + { + "epoch": 0.44, + "learning_rate": 3.0898857325355905e-05, + "loss": 4.0372, + "step": 3449 + }, + { + "epoch": 0.44, + "learning_rate": 3.088878394303203e-05, + "loss": 3.9085, + "step": 3450 + }, + { + "epoch": 0.44, + "learning_rate": 3.087870954835792e-05, + "loss": 3.9987, + "step": 3451 + }, + { + "epoch": 0.44, + "learning_rate": 3.086863414306549e-05, + "loss": 3.9871, + "step": 3452 + }, + { + "epoch": 0.44, + "learning_rate": 3.085855772888682e-05, + "loss": 3.9651, + "step": 3453 + }, + { + "epoch": 0.44, + "learning_rate": 3.084848030755415e-05, + "loss": 4.0133, + "step": 3454 + }, + { + "epoch": 0.44, + "learning_rate": 3.083840188079991e-05, + "loss": 4.0617, + "step": 3455 + }, + { + "epoch": 0.44, + "learning_rate": 3.082832245035671e-05, + "loss": 4.0877, + "step": 3456 + }, + { + "epoch": 0.44, + "learning_rate": 3.081824201795731e-05, + "loss": 3.8859, + "step": 3457 + }, + { + "epoch": 0.44, + "learning_rate": 3.0808160585334656e-05, + "loss": 4.0642, + "step": 3458 + }, + { + "epoch": 0.44, + "learning_rate": 3.079807815422187e-05, + "loss": 4.0, + "step": 3459 + }, + { + "epoch": 0.44, + "learning_rate": 3.0787994726352234e-05, + "loss": 3.9342, + "step": 3460 + }, + { + "epoch": 0.44, + "learning_rate": 3.077791030345919e-05, + "loss": 3.9587, + "step": 3461 + }, + { + "epoch": 0.44, + "learning_rate": 3.076782488727638e-05, + "loss": 3.966, + "step": 3462 + }, + { + "epoch": 0.44, + "learning_rate": 3.075773847953762e-05, + "loss": 4.0996, + "step": 3463 + }, + { + "epoch": 0.44, + "learning_rate": 3.074765108197687e-05, + "loss": 3.9083, + "step": 3464 + }, + { + "epoch": 0.44, + "learning_rate": 3.0737562696328254e-05, + "loss": 4.0152, + "step": 3465 + }, + { + "epoch": 0.44, + "learning_rate": 3.07274733243261e-05, + "loss": 3.8949, + "step": 3466 + }, + { + "epoch": 0.44, + "learning_rate": 3.0717382967704875e-05, + "loss": 4.1084, + "step": 3467 + }, + { + "epoch": 0.44, + "learning_rate": 3.0707291628199246e-05, + "loss": 3.9457, + "step": 3468 + }, + { + "epoch": 0.44, + "learning_rate": 3.0697199307544014e-05, + "loss": 3.8877, + "step": 3469 + }, + { + "epoch": 0.44, + "learning_rate": 3.068710600747418e-05, + "loss": 4.033, + "step": 3470 + }, + { + "epoch": 0.44, + "learning_rate": 3.067701172972489e-05, + "loss": 3.9979, + "step": 3471 + }, + { + "epoch": 0.44, + "learning_rate": 3.066691647603147e-05, + "loss": 3.9561, + "step": 3472 + }, + { + "epoch": 0.44, + "learning_rate": 3.0656820248129414e-05, + "loss": 3.9595, + "step": 3473 + }, + { + "epoch": 0.44, + "learning_rate": 3.064672304775438e-05, + "loss": 3.9959, + "step": 3474 + }, + { + "epoch": 0.44, + "learning_rate": 3.0636624876642186e-05, + "loss": 4.1299, + "step": 3475 + }, + { + "epoch": 0.44, + "learning_rate": 3.062652573652882e-05, + "loss": 3.8569, + "step": 3476 + }, + { + "epoch": 0.45, + "learning_rate": 3.061642562915047e-05, + "loss": 3.9597, + "step": 3477 + }, + { + "epoch": 0.45, + "learning_rate": 3.060632455624344e-05, + "loss": 3.8994, + "step": 3478 + }, + { + "epoch": 0.45, + "learning_rate": 3.0596222519544216e-05, + "loss": 3.928, + "step": 3479 + }, + { + "epoch": 0.45, + "learning_rate": 3.058611952078947e-05, + "loss": 3.9843, + "step": 3480 + }, + { + "epoch": 0.45, + "learning_rate": 3.057601556171601e-05, + "loss": 3.8765, + "step": 3481 + }, + { + "epoch": 0.45, + "learning_rate": 3.0565910644060847e-05, + "loss": 4.1021, + "step": 3482 + }, + { + "epoch": 0.45, + "learning_rate": 3.0555804769561106e-05, + "loss": 3.9552, + "step": 3483 + }, + { + "epoch": 0.45, + "learning_rate": 3.054569793995413e-05, + "loss": 3.8101, + "step": 3484 + }, + { + "epoch": 0.45, + "learning_rate": 3.0535590156977376e-05, + "loss": 3.8638, + "step": 3485 + }, + { + "epoch": 0.45, + "learning_rate": 3.05254814223685e-05, + "loss": 3.9625, + "step": 3486 + }, + { + "epoch": 0.45, + "learning_rate": 3.051537173786531e-05, + "loss": 4.019, + "step": 3487 + }, + { + "epoch": 0.45, + "learning_rate": 3.0505261105205786e-05, + "loss": 4.0605, + "step": 3488 + }, + { + "epoch": 0.45, + "learning_rate": 3.0495149526128054e-05, + "loss": 3.9407, + "step": 3489 + }, + { + "epoch": 0.45, + "learning_rate": 3.0485037002370403e-05, + "loss": 3.8257, + "step": 3490 + }, + { + "epoch": 0.45, + "learning_rate": 3.047492353567131e-05, + "loss": 3.9928, + "step": 3491 + }, + { + "epoch": 0.45, + "learning_rate": 3.04648091277694e-05, + "loss": 3.8341, + "step": 3492 + }, + { + "epoch": 0.45, + "learning_rate": 3.0454693780403444e-05, + "loss": 4.0177, + "step": 3493 + }, + { + "epoch": 0.45, + "learning_rate": 3.0444577495312376e-05, + "loss": 3.8806, + "step": 3494 + }, + { + "epoch": 0.45, + "learning_rate": 3.0434460274235328e-05, + "loss": 3.9117, + "step": 3495 + }, + { + "epoch": 0.45, + "learning_rate": 3.0424342118911558e-05, + "loss": 3.9697, + "step": 3496 + }, + { + "epoch": 0.45, + "learning_rate": 3.0414223031080492e-05, + "loss": 4.1646, + "step": 3497 + }, + { + "epoch": 0.45, + "learning_rate": 3.0404103012481722e-05, + "loss": 3.9865, + "step": 3498 + }, + { + "epoch": 0.45, + "learning_rate": 3.0393982064854987e-05, + "loss": 3.8465, + "step": 3499 + }, + { + "epoch": 0.45, + "learning_rate": 3.0383860189940213e-05, + "loss": 4.0148, + "step": 3500 + }, + { + "epoch": 0.45, + "learning_rate": 3.0373737389477446e-05, + "loss": 4.0682, + "step": 3501 + }, + { + "epoch": 0.45, + "learning_rate": 3.0363613665206934e-05, + "loss": 3.9647, + "step": 3502 + }, + { + "epoch": 0.45, + "learning_rate": 3.035348901886905e-05, + "loss": 3.9511, + "step": 3503 + }, + { + "epoch": 0.45, + "learning_rate": 3.0343363452204338e-05, + "loss": 3.8953, + "step": 3504 + }, + { + "epoch": 0.45, + "learning_rate": 3.0333236966953505e-05, + "loss": 3.8627, + "step": 3505 + }, + { + "epoch": 0.45, + "learning_rate": 3.032310956485741e-05, + "loss": 4.0208, + "step": 3506 + }, + { + "epoch": 0.45, + "learning_rate": 3.031298124765707e-05, + "loss": 4.0178, + "step": 3507 + }, + { + "epoch": 0.45, + "learning_rate": 3.0302852017093653e-05, + "loss": 4.1802, + "step": 3508 + }, + { + "epoch": 0.45, + "learning_rate": 3.0292721874908503e-05, + "loss": 3.9941, + "step": 3509 + }, + { + "epoch": 0.45, + "learning_rate": 3.028259082284311e-05, + "loss": 3.9442, + "step": 3510 + }, + { + "epoch": 0.45, + "learning_rate": 3.027245886263911e-05, + "loss": 3.9802, + "step": 3511 + }, + { + "epoch": 0.45, + "learning_rate": 3.0262325996038306e-05, + "loss": 3.9049, + "step": 3512 + }, + { + "epoch": 0.45, + "learning_rate": 3.0252192224782655e-05, + "loss": 3.8858, + "step": 3513 + }, + { + "epoch": 0.45, + "learning_rate": 3.0242057550614278e-05, + "loss": 3.9777, + "step": 3514 + }, + { + "epoch": 0.45, + "learning_rate": 3.0231921975275428e-05, + "loss": 3.9553, + "step": 3515 + }, + { + "epoch": 0.45, + "learning_rate": 3.0221785500508548e-05, + "loss": 3.8894, + "step": 3516 + }, + { + "epoch": 0.45, + "learning_rate": 3.0211648128056198e-05, + "loss": 4.0433, + "step": 3517 + }, + { + "epoch": 0.45, + "learning_rate": 3.0201509859661114e-05, + "loss": 4.0727, + "step": 3518 + }, + { + "epoch": 0.45, + "learning_rate": 3.019137069706619e-05, + "loss": 4.0731, + "step": 3519 + }, + { + "epoch": 0.45, + "learning_rate": 3.0181230642014457e-05, + "loss": 3.9196, + "step": 3520 + }, + { + "epoch": 0.45, + "learning_rate": 3.0171089696249112e-05, + "loss": 4.0, + "step": 3521 + }, + { + "epoch": 0.45, + "learning_rate": 3.01609478615135e-05, + "loss": 3.9417, + "step": 3522 + }, + { + "epoch": 0.45, + "learning_rate": 3.0150805139551114e-05, + "loss": 3.9198, + "step": 3523 + }, + { + "epoch": 0.45, + "learning_rate": 3.0140661532105617e-05, + "loss": 3.9354, + "step": 3524 + }, + { + "epoch": 0.45, + "learning_rate": 3.0130517040920808e-05, + "loss": 3.9331, + "step": 3525 + }, + { + "epoch": 0.45, + "learning_rate": 3.012037166774063e-05, + "loss": 4.0207, + "step": 3526 + }, + { + "epoch": 0.45, + "learning_rate": 3.0110225414309212e-05, + "loss": 4.0344, + "step": 3527 + }, + { + "epoch": 0.45, + "learning_rate": 3.0100078282370803e-05, + "loss": 4.0426, + "step": 3528 + }, + { + "epoch": 0.45, + "learning_rate": 3.008993027366981e-05, + "loss": 3.9095, + "step": 3529 + }, + { + "epoch": 0.45, + "learning_rate": 3.0079781389950802e-05, + "loss": 3.855, + "step": 3530 + }, + { + "epoch": 0.45, + "learning_rate": 3.0069631632958474e-05, + "loss": 3.9449, + "step": 3531 + }, + { + "epoch": 0.45, + "learning_rate": 3.0059481004437694e-05, + "loss": 4.0079, + "step": 3532 + }, + { + "epoch": 0.45, + "learning_rate": 3.0049329506133482e-05, + "loss": 3.8946, + "step": 3533 + }, + { + "epoch": 0.45, + "learning_rate": 3.0039177139790993e-05, + "loss": 4.1, + "step": 3534 + }, + { + "epoch": 0.45, + "learning_rate": 3.002902390715553e-05, + "loss": 3.9857, + "step": 3535 + }, + { + "epoch": 0.45, + "learning_rate": 3.0018869809972556e-05, + "loss": 3.897, + "step": 3536 + }, + { + "epoch": 0.45, + "learning_rate": 3.0008714849987674e-05, + "loss": 3.9894, + "step": 3537 + }, + { + "epoch": 0.45, + "learning_rate": 2.999855902894665e-05, + "loss": 4.0041, + "step": 3538 + }, + { + "epoch": 0.45, + "learning_rate": 2.998840234859538e-05, + "loss": 3.9509, + "step": 3539 + }, + { + "epoch": 0.45, + "learning_rate": 2.9978244810679913e-05, + "loss": 3.984, + "step": 3540 + }, + { + "epoch": 0.45, + "learning_rate": 2.9968086416946446e-05, + "loss": 3.9507, + "step": 3541 + }, + { + "epoch": 0.45, + "learning_rate": 2.9957927169141336e-05, + "loss": 3.861, + "step": 3542 + }, + { + "epoch": 0.45, + "learning_rate": 2.994776706901107e-05, + "loss": 3.9186, + "step": 3543 + }, + { + "epoch": 0.45, + "learning_rate": 2.993760611830228e-05, + "loss": 3.9353, + "step": 3544 + }, + { + "epoch": 0.45, + "learning_rate": 2.9927444318761755e-05, + "loss": 3.9229, + "step": 3545 + }, + { + "epoch": 0.45, + "learning_rate": 2.9917281672136433e-05, + "loss": 3.8506, + "step": 3546 + }, + { + "epoch": 0.45, + "learning_rate": 2.9907118180173384e-05, + "loss": 3.8961, + "step": 3547 + }, + { + "epoch": 0.45, + "learning_rate": 2.9896953844619835e-05, + "loss": 4.0841, + "step": 3548 + }, + { + "epoch": 0.45, + "learning_rate": 2.9886788667223147e-05, + "loss": 3.9398, + "step": 3549 + }, + { + "epoch": 0.45, + "learning_rate": 2.987662264973083e-05, + "loss": 4.0939, + "step": 3550 + }, + { + "epoch": 0.45, + "learning_rate": 2.9866455793890547e-05, + "loss": 4.0162, + "step": 3551 + }, + { + "epoch": 0.45, + "learning_rate": 2.9856288101450096e-05, + "loss": 3.9688, + "step": 3552 + }, + { + "epoch": 0.45, + "learning_rate": 2.984611957415743e-05, + "loss": 3.9198, + "step": 3553 + }, + { + "epoch": 0.45, + "learning_rate": 2.9835950213760616e-05, + "loss": 3.9349, + "step": 3554 + }, + { + "epoch": 0.46, + "learning_rate": 2.9825780022007905e-05, + "loss": 3.9627, + "step": 3555 + }, + { + "epoch": 0.46, + "learning_rate": 2.981560900064766e-05, + "loss": 4.0811, + "step": 3556 + }, + { + "epoch": 0.46, + "learning_rate": 2.9805437151428405e-05, + "loss": 3.9751, + "step": 3557 + }, + { + "epoch": 0.46, + "learning_rate": 2.979526447609879e-05, + "loss": 3.9057, + "step": 3558 + }, + { + "epoch": 0.46, + "learning_rate": 2.9785090976407614e-05, + "loss": 3.8953, + "step": 3559 + }, + { + "epoch": 0.46, + "learning_rate": 2.9774916654103835e-05, + "loss": 4.0497, + "step": 3560 + }, + { + "epoch": 0.46, + "learning_rate": 2.9764741510936527e-05, + "loss": 4.0189, + "step": 3561 + }, + { + "epoch": 0.46, + "learning_rate": 2.975456554865491e-05, + "loss": 3.9315, + "step": 3562 + }, + { + "epoch": 0.46, + "learning_rate": 2.9744388769008365e-05, + "loss": 4.0096, + "step": 3563 + }, + { + "epoch": 0.46, + "learning_rate": 2.9734211173746374e-05, + "loss": 3.8933, + "step": 3564 + }, + { + "epoch": 0.46, + "learning_rate": 2.972403276461861e-05, + "loss": 4.093, + "step": 3565 + }, + { + "epoch": 0.46, + "learning_rate": 2.971385354337485e-05, + "loss": 4.0853, + "step": 3566 + }, + { + "epoch": 0.46, + "learning_rate": 2.9703673511765012e-05, + "loss": 3.9301, + "step": 3567 + }, + { + "epoch": 0.46, + "learning_rate": 2.9693492671539163e-05, + "loss": 3.9144, + "step": 3568 + }, + { + "epoch": 0.46, + "learning_rate": 2.968331102444752e-05, + "loss": 3.9293, + "step": 3569 + }, + { + "epoch": 0.46, + "learning_rate": 2.9673128572240415e-05, + "loss": 4.0126, + "step": 3570 + }, + { + "epoch": 0.46, + "learning_rate": 2.966294531666834e-05, + "loss": 3.9762, + "step": 3571 + }, + { + "epoch": 0.46, + "learning_rate": 2.9652761259481898e-05, + "loss": 4.0281, + "step": 3572 + }, + { + "epoch": 0.46, + "learning_rate": 2.964257640243186e-05, + "loss": 4.0467, + "step": 3573 + }, + { + "epoch": 0.46, + "learning_rate": 2.963239074726912e-05, + "loss": 3.9716, + "step": 3574 + }, + { + "epoch": 0.46, + "learning_rate": 2.9622204295744705e-05, + "loss": 3.8735, + "step": 3575 + }, + { + "epoch": 0.46, + "learning_rate": 2.961201704960978e-05, + "loss": 3.9947, + "step": 3576 + }, + { + "epoch": 0.46, + "learning_rate": 2.960182901061567e-05, + "loss": 4.0618, + "step": 3577 + }, + { + "epoch": 0.46, + "learning_rate": 2.9591640180513793e-05, + "loss": 3.9557, + "step": 3578 + }, + { + "epoch": 0.46, + "learning_rate": 2.9581450561055747e-05, + "loss": 3.9732, + "step": 3579 + }, + { + "epoch": 0.46, + "learning_rate": 2.9571260153993226e-05, + "loss": 3.8199, + "step": 3580 + }, + { + "epoch": 0.46, + "learning_rate": 2.9561068961078097e-05, + "loss": 3.9164, + "step": 3581 + }, + { + "epoch": 0.46, + "learning_rate": 2.9550876984062335e-05, + "loss": 3.9395, + "step": 3582 + }, + { + "epoch": 0.46, + "learning_rate": 2.9540684224698057e-05, + "loss": 3.953, + "step": 3583 + }, + { + "epoch": 0.46, + "learning_rate": 2.9530490684737532e-05, + "loss": 3.9749, + "step": 3584 + }, + { + "epoch": 0.46, + "learning_rate": 2.9520296365933132e-05, + "loss": 3.9599, + "step": 3585 + }, + { + "epoch": 0.46, + "learning_rate": 2.9510101270037377e-05, + "loss": 3.9909, + "step": 3586 + }, + { + "epoch": 0.46, + "learning_rate": 2.949990539880293e-05, + "loss": 3.9952, + "step": 3587 + }, + { + "epoch": 0.46, + "learning_rate": 2.9489708753982582e-05, + "loss": 3.9979, + "step": 3588 + }, + { + "epoch": 0.46, + "learning_rate": 2.9479511337329253e-05, + "loss": 3.8922, + "step": 3589 + }, + { + "epoch": 0.46, + "learning_rate": 2.9469313150595985e-05, + "loss": 4.0358, + "step": 3590 + }, + { + "epoch": 0.46, + "learning_rate": 2.9459114195535976e-05, + "loss": 4.0286, + "step": 3591 + }, + { + "epoch": 0.46, + "learning_rate": 2.9448914473902544e-05, + "loss": 3.9897, + "step": 3592 + }, + { + "epoch": 0.46, + "learning_rate": 2.943871398744914e-05, + "loss": 3.9785, + "step": 3593 + }, + { + "epoch": 0.46, + "learning_rate": 2.9428512737929338e-05, + "loss": 3.945, + "step": 3594 + }, + { + "epoch": 0.46, + "learning_rate": 2.9418310727096866e-05, + "loss": 3.9141, + "step": 3595 + }, + { + "epoch": 0.46, + "learning_rate": 2.9408107956705543e-05, + "loss": 3.7347, + "step": 3596 + }, + { + "epoch": 0.46, + "learning_rate": 2.939790442850937e-05, + "loss": 3.9272, + "step": 3597 + }, + { + "epoch": 0.46, + "learning_rate": 2.9387700144262443e-05, + "loss": 3.8652, + "step": 3598 + }, + { + "epoch": 0.46, + "learning_rate": 2.9377495105718993e-05, + "loss": 4.0612, + "step": 3599 + }, + { + "epoch": 0.46, + "learning_rate": 2.9367289314633382e-05, + "loss": 3.9308, + "step": 3600 + }, + { + "epoch": 0.46, + "learning_rate": 2.9357082772760102e-05, + "loss": 3.9632, + "step": 3601 + }, + { + "epoch": 0.46, + "learning_rate": 2.9346875481853798e-05, + "loss": 3.8656, + "step": 3602 + }, + { + "epoch": 0.46, + "learning_rate": 2.9336667443669196e-05, + "loss": 3.9637, + "step": 3603 + }, + { + "epoch": 0.46, + "learning_rate": 2.9326458659961187e-05, + "loss": 3.9131, + "step": 3604 + }, + { + "epoch": 0.46, + "learning_rate": 2.9316249132484775e-05, + "loss": 4.0761, + "step": 3605 + }, + { + "epoch": 0.46, + "learning_rate": 2.93060388629951e-05, + "loss": 3.9357, + "step": 3606 + }, + { + "epoch": 0.46, + "learning_rate": 2.9295827853247427e-05, + "loss": 3.9496, + "step": 3607 + }, + { + "epoch": 0.46, + "learning_rate": 2.9285616104997144e-05, + "loss": 3.9637, + "step": 3608 + }, + { + "epoch": 0.46, + "learning_rate": 2.9275403619999768e-05, + "loss": 4.0131, + "step": 3609 + }, + { + "epoch": 0.46, + "learning_rate": 2.9265190400010945e-05, + "loss": 3.8285, + "step": 3610 + }, + { + "epoch": 0.46, + "learning_rate": 2.925497644678645e-05, + "loss": 3.975, + "step": 3611 + }, + { + "epoch": 0.46, + "learning_rate": 2.9244761762082168e-05, + "loss": 3.8759, + "step": 3612 + }, + { + "epoch": 0.46, + "learning_rate": 2.9234546347654135e-05, + "loss": 3.8984, + "step": 3613 + }, + { + "epoch": 0.46, + "learning_rate": 2.922433020525849e-05, + "loss": 4.0083, + "step": 3614 + }, + { + "epoch": 0.46, + "learning_rate": 2.921411333665151e-05, + "loss": 4.0692, + "step": 3615 + }, + { + "epoch": 0.46, + "learning_rate": 2.9203895743589597e-05, + "loss": 3.9164, + "step": 3616 + }, + { + "epoch": 0.46, + "learning_rate": 2.9193677427829276e-05, + "loss": 3.9423, + "step": 3617 + }, + { + "epoch": 0.46, + "learning_rate": 2.918345839112717e-05, + "loss": 3.8831, + "step": 3618 + }, + { + "epoch": 0.46, + "learning_rate": 2.917323863524008e-05, + "loss": 3.9315, + "step": 3619 + }, + { + "epoch": 0.46, + "learning_rate": 2.9163018161924887e-05, + "loss": 3.8827, + "step": 3620 + }, + { + "epoch": 0.46, + "learning_rate": 2.9152796972938617e-05, + "loss": 3.7965, + "step": 3621 + }, + { + "epoch": 0.46, + "learning_rate": 2.9142575070038392e-05, + "loss": 3.9592, + "step": 3622 + }, + { + "epoch": 0.46, + "learning_rate": 2.9132352454981492e-05, + "loss": 3.9809, + "step": 3623 + }, + { + "epoch": 0.46, + "learning_rate": 2.91221291295253e-05, + "loss": 3.8879, + "step": 3624 + }, + { + "epoch": 0.46, + "learning_rate": 2.9111905095427327e-05, + "loss": 3.8847, + "step": 3625 + }, + { + "epoch": 0.46, + "learning_rate": 2.9101680354445187e-05, + "loss": 3.9547, + "step": 3626 + }, + { + "epoch": 0.46, + "learning_rate": 2.9091454908336657e-05, + "loss": 3.8932, + "step": 3627 + }, + { + "epoch": 0.46, + "learning_rate": 2.9081228758859584e-05, + "loss": 3.9191, + "step": 3628 + }, + { + "epoch": 0.46, + "learning_rate": 2.9071001907771982e-05, + "loss": 4.0246, + "step": 3629 + }, + { + "epoch": 0.46, + "learning_rate": 2.906077435683195e-05, + "loss": 3.9034, + "step": 3630 + }, + { + "epoch": 0.46, + "learning_rate": 2.9050546107797738e-05, + "loss": 3.9227, + "step": 3631 + }, + { + "epoch": 0.46, + "learning_rate": 2.904031716242769e-05, + "loss": 3.9557, + "step": 3632 + }, + { + "epoch": 0.47, + "learning_rate": 2.903008752248027e-05, + "loss": 4.0191, + "step": 3633 + }, + { + "epoch": 0.47, + "learning_rate": 2.9019857189714095e-05, + "loss": 3.9401, + "step": 3634 + }, + { + "epoch": 0.47, + "learning_rate": 2.900962616588787e-05, + "loss": 3.9013, + "step": 3635 + }, + { + "epoch": 0.47, + "learning_rate": 2.8999394452760414e-05, + "loss": 3.9148, + "step": 3636 + }, + { + "epoch": 0.47, + "learning_rate": 2.8989162052090696e-05, + "loss": 3.9396, + "step": 3637 + }, + { + "epoch": 0.47, + "learning_rate": 2.8978928965637768e-05, + "loss": 4.04, + "step": 3638 + }, + { + "epoch": 0.47, + "learning_rate": 2.896869519516083e-05, + "loss": 4.0594, + "step": 3639 + }, + { + "epoch": 0.47, + "learning_rate": 2.895846074241917e-05, + "loss": 4.0125, + "step": 3640 + }, + { + "epoch": 0.47, + "learning_rate": 2.8948225609172225e-05, + "loss": 4.0049, + "step": 3641 + }, + { + "epoch": 0.47, + "learning_rate": 2.8937989797179522e-05, + "loss": 3.988, + "step": 3642 + }, + { + "epoch": 0.47, + "learning_rate": 2.8927753308200723e-05, + "loss": 4.0076, + "step": 3643 + }, + { + "epoch": 0.47, + "learning_rate": 2.8917516143995594e-05, + "loss": 4.0189, + "step": 3644 + }, + { + "epoch": 0.47, + "learning_rate": 2.8907278306324027e-05, + "loss": 3.9757, + "step": 3645 + }, + { + "epoch": 0.47, + "learning_rate": 2.8897039796946024e-05, + "loss": 3.9518, + "step": 3646 + }, + { + "epoch": 0.47, + "learning_rate": 2.888680061762169e-05, + "loss": 3.9481, + "step": 3647 + }, + { + "epoch": 0.47, + "learning_rate": 2.8876560770111278e-05, + "loss": 3.999, + "step": 3648 + }, + { + "epoch": 0.47, + "learning_rate": 2.8866320256175126e-05, + "loss": 3.9048, + "step": 3649 + }, + { + "epoch": 0.47, + "learning_rate": 2.8856079077573706e-05, + "loss": 3.9332, + "step": 3650 + }, + { + "epoch": 0.47, + "learning_rate": 2.8845837236067586e-05, + "loss": 3.9131, + "step": 3651 + }, + { + "epoch": 0.47, + "learning_rate": 2.8835594733417453e-05, + "loss": 4.0318, + "step": 3652 + }, + { + "epoch": 0.47, + "learning_rate": 2.882535157138413e-05, + "loss": 3.9173, + "step": 3653 + }, + { + "epoch": 0.47, + "learning_rate": 2.8815107751728514e-05, + "loss": 4.0427, + "step": 3654 + }, + { + "epoch": 0.47, + "learning_rate": 2.880486327621166e-05, + "loss": 3.9975, + "step": 3655 + }, + { + "epoch": 0.47, + "learning_rate": 2.8794618146594687e-05, + "loss": 3.9517, + "step": 3656 + }, + { + "epoch": 0.47, + "learning_rate": 2.8784372364638873e-05, + "loss": 3.995, + "step": 3657 + }, + { + "epoch": 0.47, + "learning_rate": 2.8774125932105567e-05, + "loss": 4.0305, + "step": 3658 + }, + { + "epoch": 0.47, + "learning_rate": 2.876387885075627e-05, + "loss": 3.9475, + "step": 3659 + }, + { + "epoch": 0.47, + "learning_rate": 2.8753631122352564e-05, + "loss": 4.0108, + "step": 3660 + }, + { + "epoch": 0.47, + "learning_rate": 2.8743382748656146e-05, + "loss": 4.0, + "step": 3661 + }, + { + "epoch": 0.47, + "learning_rate": 2.8733133731428835e-05, + "loss": 3.9948, + "step": 3662 + }, + { + "epoch": 0.47, + "learning_rate": 2.872288407243256e-05, + "loss": 4.0715, + "step": 3663 + }, + { + "epoch": 0.47, + "learning_rate": 2.871263377342936e-05, + "loss": 3.9721, + "step": 3664 + }, + { + "epoch": 0.47, + "learning_rate": 2.8702382836181363e-05, + "loss": 4.0198, + "step": 3665 + }, + { + "epoch": 0.47, + "learning_rate": 2.869213126245084e-05, + "loss": 3.9542, + "step": 3666 + }, + { + "epoch": 0.47, + "learning_rate": 2.868187905400015e-05, + "loss": 3.9172, + "step": 3667 + }, + { + "epoch": 0.47, + "learning_rate": 2.8671626212591774e-05, + "loss": 3.8466, + "step": 3668 + }, + { + "epoch": 0.47, + "learning_rate": 2.8661372739988274e-05, + "loss": 3.969, + "step": 3669 + }, + { + "epoch": 0.47, + "learning_rate": 2.8651118637952358e-05, + "loss": 3.9747, + "step": 3670 + }, + { + "epoch": 0.47, + "learning_rate": 2.8640863908246823e-05, + "loss": 4.0144, + "step": 3671 + }, + { + "epoch": 0.47, + "learning_rate": 2.863060855263457e-05, + "loss": 4.062, + "step": 3672 + }, + { + "epoch": 0.47, + "learning_rate": 2.862035257287862e-05, + "loss": 3.9412, + "step": 3673 + }, + { + "epoch": 0.47, + "learning_rate": 2.8610095970742094e-05, + "loss": 3.9129, + "step": 3674 + }, + { + "epoch": 0.47, + "learning_rate": 2.8599838747988217e-05, + "loss": 3.9276, + "step": 3675 + }, + { + "epoch": 0.47, + "learning_rate": 2.8589580906380324e-05, + "loss": 3.9977, + "step": 3676 + }, + { + "epoch": 0.47, + "learning_rate": 2.8579322447681862e-05, + "loss": 4.1137, + "step": 3677 + }, + { + "epoch": 0.47, + "learning_rate": 2.856906337365638e-05, + "loss": 3.934, + "step": 3678 + }, + { + "epoch": 0.47, + "learning_rate": 2.855880368606752e-05, + "loss": 3.9308, + "step": 3679 + }, + { + "epoch": 0.47, + "learning_rate": 2.854854338667905e-05, + "loss": 4.0745, + "step": 3680 + }, + { + "epoch": 0.47, + "learning_rate": 2.853828247725484e-05, + "loss": 3.8886, + "step": 3681 + }, + { + "epoch": 0.47, + "learning_rate": 2.852802095955885e-05, + "loss": 4.1402, + "step": 3682 + }, + { + "epoch": 0.47, + "learning_rate": 2.8517758835355153e-05, + "loss": 4.0291, + "step": 3683 + }, + { + "epoch": 0.47, + "learning_rate": 2.850749610640793e-05, + "loss": 3.9037, + "step": 3684 + }, + { + "epoch": 0.47, + "learning_rate": 2.8497232774481468e-05, + "loss": 4.0877, + "step": 3685 + }, + { + "epoch": 0.47, + "learning_rate": 2.8486968841340157e-05, + "loss": 4.0062, + "step": 3686 + }, + { + "epoch": 0.47, + "learning_rate": 2.8476704308748465e-05, + "loss": 3.8767, + "step": 3687 + }, + { + "epoch": 0.47, + "learning_rate": 2.8466439178471e-05, + "loss": 3.8761, + "step": 3688 + }, + { + "epoch": 0.47, + "learning_rate": 2.8456173452272456e-05, + "loss": 4.0828, + "step": 3689 + }, + { + "epoch": 0.47, + "learning_rate": 2.844590713191762e-05, + "loss": 3.9237, + "step": 3690 + }, + { + "epoch": 0.47, + "learning_rate": 2.843564021917141e-05, + "loss": 3.9098, + "step": 3691 + }, + { + "epoch": 0.47, + "learning_rate": 2.8425372715798816e-05, + "loss": 4.0826, + "step": 3692 + }, + { + "epoch": 0.47, + "learning_rate": 2.8415104623564937e-05, + "loss": 3.9419, + "step": 3693 + }, + { + "epoch": 0.47, + "learning_rate": 2.840483594423498e-05, + "loss": 4.062, + "step": 3694 + }, + { + "epoch": 0.47, + "learning_rate": 2.8394566679574257e-05, + "loss": 4.102, + "step": 3695 + }, + { + "epoch": 0.47, + "learning_rate": 2.838429683134817e-05, + "loss": 3.9573, + "step": 3696 + }, + { + "epoch": 0.47, + "learning_rate": 2.8374026401322222e-05, + "loss": 3.9968, + "step": 3697 + }, + { + "epoch": 0.47, + "learning_rate": 2.8363755391262016e-05, + "loss": 3.9416, + "step": 3698 + }, + { + "epoch": 0.47, + "learning_rate": 2.8353483802933267e-05, + "loss": 3.9011, + "step": 3699 + }, + { + "epoch": 0.47, + "learning_rate": 2.834321163810178e-05, + "loss": 3.8764, + "step": 3700 + }, + { + "epoch": 0.47, + "learning_rate": 2.8332938898533447e-05, + "loss": 3.8943, + "step": 3701 + }, + { + "epoch": 0.47, + "learning_rate": 2.832266558599428e-05, + "loss": 3.8729, + "step": 3702 + }, + { + "epoch": 0.47, + "learning_rate": 2.831239170225038e-05, + "loss": 3.8351, + "step": 3703 + }, + { + "epoch": 0.47, + "learning_rate": 2.830211724906794e-05, + "loss": 4.081, + "step": 3704 + }, + { + "epoch": 0.47, + "learning_rate": 2.8291842228213272e-05, + "loss": 3.9376, + "step": 3705 + }, + { + "epoch": 0.47, + "learning_rate": 2.8281566641452763e-05, + "loss": 4.024, + "step": 3706 + }, + { + "epoch": 0.47, + "learning_rate": 2.8271290490552898e-05, + "loss": 3.96, + "step": 3707 + }, + { + "epoch": 0.47, + "learning_rate": 2.8261013777280277e-05, + "loss": 4.1374, + "step": 3708 + }, + { + "epoch": 0.47, + "learning_rate": 2.8250736503401586e-05, + "loss": 3.9241, + "step": 3709 + }, + { + "epoch": 0.47, + "learning_rate": 2.82404586706836e-05, + "loss": 3.812, + "step": 3710 + }, + { + "epoch": 0.48, + "learning_rate": 2.8230180280893203e-05, + "loss": 4.0693, + "step": 3711 + }, + { + "epoch": 0.48, + "learning_rate": 2.8219901335797366e-05, + "loss": 4.0006, + "step": 3712 + }, + { + "epoch": 0.48, + "learning_rate": 2.820962183716317e-05, + "loss": 4.1091, + "step": 3713 + }, + { + "epoch": 0.48, + "learning_rate": 2.8199341786757766e-05, + "loss": 3.8453, + "step": 3714 + }, + { + "epoch": 0.48, + "learning_rate": 2.8189061186348415e-05, + "loss": 4.0977, + "step": 3715 + }, + { + "epoch": 0.48, + "learning_rate": 2.8178780037702474e-05, + "loss": 4.0457, + "step": 3716 + }, + { + "epoch": 0.48, + "learning_rate": 2.8168498342587396e-05, + "loss": 3.9418, + "step": 3717 + }, + { + "epoch": 0.48, + "learning_rate": 2.815821610277073e-05, + "loss": 3.9774, + "step": 3718 + }, + { + "epoch": 0.48, + "learning_rate": 2.8147933320020088e-05, + "loss": 3.9307, + "step": 3719 + }, + { + "epoch": 0.48, + "learning_rate": 2.813764999610322e-05, + "loss": 3.9542, + "step": 3720 + }, + { + "epoch": 0.48, + "learning_rate": 2.812736613278794e-05, + "loss": 3.8822, + "step": 3721 + }, + { + "epoch": 0.48, + "learning_rate": 2.8117081731842172e-05, + "loss": 4.0087, + "step": 3722 + }, + { + "epoch": 0.48, + "learning_rate": 2.810679679503392e-05, + "loss": 3.9203, + "step": 3723 + }, + { + "epoch": 0.48, + "learning_rate": 2.8096511324131273e-05, + "loss": 4.0019, + "step": 3724 + }, + { + "epoch": 0.48, + "learning_rate": 2.8086225320902437e-05, + "loss": 4.067, + "step": 3725 + }, + { + "epoch": 0.48, + "learning_rate": 2.8075938787115684e-05, + "loss": 3.9147, + "step": 3726 + }, + { + "epoch": 0.48, + "learning_rate": 2.8065651724539404e-05, + "loss": 3.9979, + "step": 3727 + }, + { + "epoch": 0.48, + "learning_rate": 2.8055364134942046e-05, + "loss": 3.9127, + "step": 3728 + }, + { + "epoch": 0.48, + "learning_rate": 2.8045076020092175e-05, + "loss": 3.9609, + "step": 3729 + }, + { + "epoch": 0.48, + "learning_rate": 2.8034787381758433e-05, + "loss": 4.0123, + "step": 3730 + }, + { + "epoch": 0.48, + "learning_rate": 2.8024498221709556e-05, + "loss": 3.8686, + "step": 3731 + }, + { + "epoch": 0.48, + "learning_rate": 2.8014208541714377e-05, + "loss": 3.9798, + "step": 3732 + }, + { + "epoch": 0.48, + "learning_rate": 2.8003918343541802e-05, + "loss": 4.1657, + "step": 3733 + }, + { + "epoch": 0.48, + "learning_rate": 2.799362762896084e-05, + "loss": 3.9605, + "step": 3734 + }, + { + "epoch": 0.48, + "learning_rate": 2.7983336399740583e-05, + "loss": 3.9849, + "step": 3735 + }, + { + "epoch": 0.48, + "learning_rate": 2.7973044657650216e-05, + "loss": 3.8867, + "step": 3736 + }, + { + "epoch": 0.48, + "learning_rate": 2.7962752404459003e-05, + "loss": 4.0491, + "step": 3737 + }, + { + "epoch": 0.48, + "learning_rate": 2.7952459641936308e-05, + "loss": 4.0719, + "step": 3738 + }, + { + "epoch": 0.48, + "learning_rate": 2.794216637185157e-05, + "loss": 3.9518, + "step": 3739 + }, + { + "epoch": 0.48, + "learning_rate": 2.793187259597432e-05, + "loss": 3.963, + "step": 3740 + }, + { + "epoch": 0.48, + "learning_rate": 2.7921578316074183e-05, + "loss": 3.9312, + "step": 3741 + }, + { + "epoch": 0.48, + "learning_rate": 2.7911283533920867e-05, + "loss": 4.0087, + "step": 3742 + }, + { + "epoch": 0.48, + "learning_rate": 2.7900988251284162e-05, + "loss": 3.9975, + "step": 3743 + }, + { + "epoch": 0.48, + "learning_rate": 2.789069246993394e-05, + "loss": 3.8778, + "step": 3744 + }, + { + "epoch": 0.48, + "learning_rate": 2.7880396191640175e-05, + "loss": 4.0074, + "step": 3745 + }, + { + "epoch": 0.48, + "learning_rate": 2.7870099418172912e-05, + "loss": 4.0888, + "step": 3746 + }, + { + "epoch": 0.48, + "learning_rate": 2.7859802151302283e-05, + "loss": 4.0146, + "step": 3747 + }, + { + "epoch": 0.48, + "learning_rate": 2.784950439279852e-05, + "loss": 4.0747, + "step": 3748 + }, + { + "epoch": 0.48, + "learning_rate": 2.7839206144431907e-05, + "loss": 3.9679, + "step": 3749 + }, + { + "epoch": 0.48, + "learning_rate": 2.782890740797285e-05, + "loss": 4.0324, + "step": 3750 + }, + { + "epoch": 0.48, + "learning_rate": 2.7818608185191808e-05, + "loss": 4.0562, + "step": 3751 + }, + { + "epoch": 0.48, + "learning_rate": 2.7808308477859347e-05, + "loss": 4.0065, + "step": 3752 + }, + { + "epoch": 0.48, + "learning_rate": 2.7798008287746097e-05, + "loss": 3.9838, + "step": 3753 + }, + { + "epoch": 0.48, + "learning_rate": 2.7787707616622788e-05, + "loss": 3.9453, + "step": 3754 + }, + { + "epoch": 0.48, + "learning_rate": 2.777740646626022e-05, + "loss": 4.0049, + "step": 3755 + }, + { + "epoch": 0.48, + "learning_rate": 2.7767104838429286e-05, + "loss": 4.1022, + "step": 3756 + }, + { + "epoch": 0.48, + "learning_rate": 2.7756802734900954e-05, + "loss": 4.0678, + "step": 3757 + }, + { + "epoch": 0.48, + "learning_rate": 2.774650015744626e-05, + "loss": 4.0041, + "step": 3758 + }, + { + "epoch": 0.48, + "learning_rate": 2.773619710783636e-05, + "loss": 3.9784, + "step": 3759 + }, + { + "epoch": 0.48, + "learning_rate": 2.7725893587842457e-05, + "loss": 4.0781, + "step": 3760 + }, + { + "epoch": 0.48, + "learning_rate": 2.7715589599235836e-05, + "loss": 4.1015, + "step": 3761 + }, + { + "epoch": 0.48, + "learning_rate": 2.7705285143787884e-05, + "loss": 4.0002, + "step": 3762 + }, + { + "epoch": 0.48, + "learning_rate": 2.7694980223270055e-05, + "loss": 4.0454, + "step": 3763 + }, + { + "epoch": 0.48, + "learning_rate": 2.7684674839453888e-05, + "loss": 4.1303, + "step": 3764 + }, + { + "epoch": 0.48, + "learning_rate": 2.7674368994110982e-05, + "loss": 3.9914, + "step": 3765 + }, + { + "epoch": 0.48, + "learning_rate": 2.7664062689013053e-05, + "loss": 4.0202, + "step": 3766 + }, + { + "epoch": 0.48, + "learning_rate": 2.7653755925931857e-05, + "loss": 4.0497, + "step": 3767 + }, + { + "epoch": 0.48, + "learning_rate": 2.7643448706639254e-05, + "loss": 3.9941, + "step": 3768 + }, + { + "epoch": 0.48, + "learning_rate": 2.7633141032907166e-05, + "loss": 4.0983, + "step": 3769 + }, + { + "epoch": 0.48, + "learning_rate": 2.7622832906507623e-05, + "loss": 3.8858, + "step": 3770 + }, + { + "epoch": 0.48, + "learning_rate": 2.7612524329212687e-05, + "loss": 3.966, + "step": 3771 + }, + { + "epoch": 0.48, + "learning_rate": 2.7602215302794532e-05, + "loss": 4.0794, + "step": 3772 + }, + { + "epoch": 0.48, + "learning_rate": 2.75919058290254e-05, + "loss": 4.1317, + "step": 3773 + }, + { + "epoch": 0.48, + "learning_rate": 2.758159590967761e-05, + "loss": 3.9834, + "step": 3774 + }, + { + "epoch": 0.48, + "learning_rate": 2.7571285546523557e-05, + "loss": 3.8862, + "step": 3775 + }, + { + "epoch": 0.48, + "learning_rate": 2.75609747413357e-05, + "loss": 4.0667, + "step": 3776 + }, + { + "epoch": 0.48, + "learning_rate": 2.75506634958866e-05, + "loss": 4.0235, + "step": 3777 + }, + { + "epoch": 0.48, + "learning_rate": 2.7540351811948877e-05, + "loss": 4.0564, + "step": 3778 + }, + { + "epoch": 0.48, + "learning_rate": 2.7530039691295222e-05, + "loss": 3.9379, + "step": 3779 + }, + { + "epoch": 0.48, + "learning_rate": 2.7519727135698426e-05, + "loss": 3.9397, + "step": 3780 + }, + { + "epoch": 0.48, + "learning_rate": 2.7509414146931312e-05, + "loss": 4.0156, + "step": 3781 + }, + { + "epoch": 0.48, + "learning_rate": 2.7499100726766817e-05, + "loss": 3.9776, + "step": 3782 + }, + { + "epoch": 0.48, + "learning_rate": 2.748878687697794e-05, + "loss": 3.9285, + "step": 3783 + }, + { + "epoch": 0.48, + "learning_rate": 2.7478472599337747e-05, + "loss": 4.0097, + "step": 3784 + }, + { + "epoch": 0.48, + "learning_rate": 2.746815789561938e-05, + "loss": 4.1244, + "step": 3785 + }, + { + "epoch": 0.48, + "learning_rate": 2.7457842767596048e-05, + "loss": 3.9966, + "step": 3786 + }, + { + "epoch": 0.48, + "learning_rate": 2.7447527217041058e-05, + "loss": 4.0409, + "step": 3787 + }, + { + "epoch": 0.48, + "learning_rate": 2.7437211245727767e-05, + "loss": 3.9773, + "step": 3788 + }, + { + "epoch": 0.48, + "learning_rate": 2.742689485542961e-05, + "loss": 4.0112, + "step": 3789 + }, + { + "epoch": 0.49, + "learning_rate": 2.7416578047920077e-05, + "loss": 3.8251, + "step": 3790 + }, + { + "epoch": 0.49, + "learning_rate": 2.7406260824972773e-05, + "loss": 3.8467, + "step": 3791 + }, + { + "epoch": 0.49, + "learning_rate": 2.7395943188361344e-05, + "loss": 4.0431, + "step": 3792 + }, + { + "epoch": 0.49, + "learning_rate": 2.73856251398595e-05, + "loss": 4.0229, + "step": 3793 + }, + { + "epoch": 0.49, + "learning_rate": 2.7375306681241035e-05, + "loss": 3.9538, + "step": 3794 + }, + { + "epoch": 0.49, + "learning_rate": 2.7364987814279814e-05, + "loss": 3.8578, + "step": 3795 + }, + { + "epoch": 0.49, + "learning_rate": 2.7354668540749774e-05, + "loss": 3.9096, + "step": 3796 + }, + { + "epoch": 0.49, + "learning_rate": 2.7344348862424908e-05, + "loss": 4.0012, + "step": 3797 + }, + { + "epoch": 0.49, + "learning_rate": 2.7334028781079302e-05, + "loss": 3.976, + "step": 3798 + }, + { + "epoch": 0.49, + "learning_rate": 2.7323708298487095e-05, + "loss": 3.9661, + "step": 3799 + }, + { + "epoch": 0.49, + "learning_rate": 2.731338741642248e-05, + "loss": 3.9677, + "step": 3800 + }, + { + "epoch": 0.49, + "learning_rate": 2.730306613665975e-05, + "loss": 3.982, + "step": 3801 + }, + { + "epoch": 0.49, + "learning_rate": 2.7292744460973257e-05, + "loss": 3.8357, + "step": 3802 + }, + { + "epoch": 0.49, + "learning_rate": 2.7282422391137414e-05, + "loss": 3.9381, + "step": 3803 + }, + { + "epoch": 0.49, + "learning_rate": 2.7272099928926698e-05, + "loss": 3.8949, + "step": 3804 + }, + { + "epoch": 0.49, + "learning_rate": 2.726177707611566e-05, + "loss": 3.9331, + "step": 3805 + }, + { + "epoch": 0.49, + "learning_rate": 2.725145383447893e-05, + "loss": 4.006, + "step": 3806 + }, + { + "epoch": 0.49, + "learning_rate": 2.7241130205791182e-05, + "loss": 3.8607, + "step": 3807 + }, + { + "epoch": 0.49, + "learning_rate": 2.7230806191827162e-05, + "loss": 3.9368, + "step": 3808 + }, + { + "epoch": 0.49, + "learning_rate": 2.72204817943617e-05, + "loss": 3.9677, + "step": 3809 + }, + { + "epoch": 0.49, + "learning_rate": 2.7210157015169684e-05, + "loss": 3.8172, + "step": 3810 + }, + { + "epoch": 0.49, + "learning_rate": 2.7199831856026043e-05, + "loss": 3.8614, + "step": 3811 + }, + { + "epoch": 0.49, + "learning_rate": 2.7189506318705814e-05, + "loss": 3.9141, + "step": 3812 + }, + { + "epoch": 0.49, + "learning_rate": 2.717918040498406e-05, + "loss": 3.9399, + "step": 3813 + }, + { + "epoch": 0.49, + "learning_rate": 2.7168854116635933e-05, + "loss": 4.1138, + "step": 3814 + }, + { + "epoch": 0.49, + "learning_rate": 2.7158527455436634e-05, + "loss": 3.9593, + "step": 3815 + }, + { + "epoch": 0.49, + "learning_rate": 2.714820042316145e-05, + "loss": 3.9187, + "step": 3816 + }, + { + "epoch": 0.49, + "learning_rate": 2.713787302158571e-05, + "loss": 3.8453, + "step": 3817 + }, + { + "epoch": 0.49, + "learning_rate": 2.7127545252484805e-05, + "loss": 3.8865, + "step": 3818 + }, + { + "epoch": 0.49, + "learning_rate": 2.711721711763421e-05, + "loss": 3.9183, + "step": 3819 + }, + { + "epoch": 0.49, + "learning_rate": 2.710688861880945e-05, + "loss": 4.039, + "step": 3820 + }, + { + "epoch": 0.49, + "learning_rate": 2.7096559757786112e-05, + "loss": 3.9949, + "step": 3821 + }, + { + "epoch": 0.49, + "learning_rate": 2.708623053633984e-05, + "loss": 4.0151, + "step": 3822 + }, + { + "epoch": 0.49, + "learning_rate": 2.7075900956246353e-05, + "loss": 3.9276, + "step": 3823 + }, + { + "epoch": 0.49, + "learning_rate": 2.7065571019281432e-05, + "loss": 3.9329, + "step": 3824 + }, + { + "epoch": 0.49, + "learning_rate": 2.705524072722091e-05, + "loss": 3.9984, + "step": 3825 + }, + { + "epoch": 0.49, + "learning_rate": 2.704491008184067e-05, + "loss": 3.9772, + "step": 3826 + }, + { + "epoch": 0.49, + "learning_rate": 2.7034579084916682e-05, + "loss": 3.9916, + "step": 3827 + }, + { + "epoch": 0.49, + "learning_rate": 2.7024247738224968e-05, + "loss": 4.021, + "step": 3828 + }, + { + "epoch": 0.49, + "learning_rate": 2.70139160435416e-05, + "loss": 3.9508, + "step": 3829 + }, + { + "epoch": 0.49, + "learning_rate": 2.7003584002642712e-05, + "loss": 3.9533, + "step": 3830 + }, + { + "epoch": 0.49, + "learning_rate": 2.6993251617304517e-05, + "loss": 3.9069, + "step": 3831 + }, + { + "epoch": 0.49, + "learning_rate": 2.698291888930325e-05, + "loss": 4.0073, + "step": 3832 + }, + { + "epoch": 0.49, + "learning_rate": 2.6972585820415237e-05, + "loss": 4.0483, + "step": 3833 + }, + { + "epoch": 0.49, + "learning_rate": 2.6962252412416862e-05, + "loss": 3.9125, + "step": 3834 + }, + { + "epoch": 0.49, + "learning_rate": 2.6951918667084546e-05, + "loss": 3.8529, + "step": 3835 + }, + { + "epoch": 0.49, + "learning_rate": 2.6941584586194778e-05, + "loss": 3.9604, + "step": 3836 + }, + { + "epoch": 0.49, + "learning_rate": 2.6931250171524115e-05, + "loss": 4.0264, + "step": 3837 + }, + { + "epoch": 0.49, + "learning_rate": 2.6920915424849157e-05, + "loss": 3.9744, + "step": 3838 + }, + { + "epoch": 0.49, + "learning_rate": 2.6910580347946574e-05, + "loss": 4.0223, + "step": 3839 + }, + { + "epoch": 0.49, + "learning_rate": 2.6900244942593067e-05, + "loss": 3.873, + "step": 3840 + }, + { + "epoch": 0.49, + "learning_rate": 2.6889909210565434e-05, + "loss": 4.1208, + "step": 3841 + }, + { + "epoch": 0.49, + "learning_rate": 2.6879573153640496e-05, + "loss": 4.0362, + "step": 3842 + }, + { + "epoch": 0.49, + "learning_rate": 2.6869236773595145e-05, + "loss": 3.8557, + "step": 3843 + }, + { + "epoch": 0.49, + "learning_rate": 2.685890007220632e-05, + "loss": 3.8927, + "step": 3844 + }, + { + "epoch": 0.49, + "learning_rate": 2.684856305125103e-05, + "loss": 3.9251, + "step": 3845 + }, + { + "epoch": 0.49, + "learning_rate": 2.683822571250631e-05, + "loss": 3.9717, + "step": 3846 + }, + { + "epoch": 0.49, + "learning_rate": 2.6827888057749278e-05, + "loss": 3.9038, + "step": 3847 + }, + { + "epoch": 0.49, + "learning_rate": 2.681755008875711e-05, + "loss": 3.8943, + "step": 3848 + }, + { + "epoch": 0.49, + "learning_rate": 2.680721180730701e-05, + "loss": 3.9043, + "step": 3849 + }, + { + "epoch": 0.49, + "learning_rate": 2.679687321517624e-05, + "loss": 4.0448, + "step": 3850 + }, + { + "epoch": 0.49, + "learning_rate": 2.6786534314142136e-05, + "loss": 4.0529, + "step": 3851 + }, + { + "epoch": 0.49, + "learning_rate": 2.6776195105982076e-05, + "loss": 4.0005, + "step": 3852 + }, + { + "epoch": 0.49, + "learning_rate": 2.676585559247349e-05, + "loss": 3.9078, + "step": 3853 + }, + { + "epoch": 0.49, + "learning_rate": 2.675551577539384e-05, + "loss": 3.8755, + "step": 3854 + }, + { + "epoch": 0.49, + "learning_rate": 2.6745175656520686e-05, + "loss": 3.8418, + "step": 3855 + }, + { + "epoch": 0.49, + "learning_rate": 2.6734835237631606e-05, + "loss": 4.0823, + "step": 3856 + }, + { + "epoch": 0.49, + "learning_rate": 2.6724494520504238e-05, + "loss": 3.9909, + "step": 3857 + }, + { + "epoch": 0.49, + "learning_rate": 2.6714153506916267e-05, + "loss": 3.91, + "step": 3858 + }, + { + "epoch": 0.49, + "learning_rate": 2.6703812198645438e-05, + "loss": 3.9391, + "step": 3859 + }, + { + "epoch": 0.49, + "learning_rate": 2.669347059746954e-05, + "loss": 3.9121, + "step": 3860 + }, + { + "epoch": 0.49, + "learning_rate": 2.6683128705166416e-05, + "loss": 3.9188, + "step": 3861 + }, + { + "epoch": 0.49, + "learning_rate": 2.667278652351395e-05, + "loss": 3.9261, + "step": 3862 + }, + { + "epoch": 0.49, + "learning_rate": 2.6662444054290087e-05, + "loss": 3.9384, + "step": 3863 + }, + { + "epoch": 0.49, + "learning_rate": 2.6652101299272818e-05, + "loss": 4.0423, + "step": 3864 + }, + { + "epoch": 0.49, + "learning_rate": 2.6641758260240185e-05, + "loss": 4.0695, + "step": 3865 + }, + { + "epoch": 0.49, + "learning_rate": 2.6631414938970278e-05, + "loss": 4.0319, + "step": 3866 + }, + { + "epoch": 0.49, + "learning_rate": 2.6621071337241227e-05, + "loss": 3.8861, + "step": 3867 + }, + { + "epoch": 0.5, + "learning_rate": 2.6610727456831218e-05, + "loss": 3.958, + "step": 3868 + }, + { + "epoch": 0.5, + "learning_rate": 2.6600383299518487e-05, + "loss": 3.9401, + "step": 3869 + }, + { + "epoch": 0.5, + "learning_rate": 2.6590038867081318e-05, + "loss": 3.8906, + "step": 3870 + }, + { + "epoch": 0.5, + "learning_rate": 2.657969416129803e-05, + "loss": 3.8564, + "step": 3871 + }, + { + "epoch": 0.5, + "learning_rate": 2.6569349183947e-05, + "loss": 3.9148, + "step": 3872 + }, + { + "epoch": 0.5, + "learning_rate": 2.655900393680666e-05, + "loss": 3.9784, + "step": 3873 + }, + { + "epoch": 0.5, + "learning_rate": 2.6548658421655465e-05, + "loss": 3.9414, + "step": 3874 + }, + { + "epoch": 0.5, + "learning_rate": 2.6538312640271933e-05, + "loss": 4.0703, + "step": 3875 + }, + { + "epoch": 0.5, + "learning_rate": 2.652796659443462e-05, + "loss": 3.9776, + "step": 3876 + }, + { + "epoch": 0.5, + "learning_rate": 2.6517620285922144e-05, + "loss": 3.9663, + "step": 3877 + }, + { + "epoch": 0.5, + "learning_rate": 2.650727371651314e-05, + "loss": 3.9757, + "step": 3878 + }, + { + "epoch": 0.5, + "learning_rate": 2.6496926887986324e-05, + "loss": 3.9364, + "step": 3879 + }, + { + "epoch": 0.5, + "learning_rate": 2.6486579802120405e-05, + "loss": 3.9559, + "step": 3880 + }, + { + "epoch": 0.5, + "learning_rate": 2.6476232460694196e-05, + "loss": 3.9779, + "step": 3881 + }, + { + "epoch": 0.5, + "learning_rate": 2.6465884865486512e-05, + "loss": 3.9157, + "step": 3882 + }, + { + "epoch": 0.5, + "learning_rate": 2.6455537018276212e-05, + "loss": 4.1097, + "step": 3883 + }, + { + "epoch": 0.5, + "learning_rate": 2.644518892084224e-05, + "loss": 4.0157, + "step": 3884 + }, + { + "epoch": 0.5, + "learning_rate": 2.643484057496353e-05, + "loss": 3.8524, + "step": 3885 + }, + { + "epoch": 0.5, + "learning_rate": 2.6424491982419098e-05, + "loss": 4.0148, + "step": 3886 + }, + { + "epoch": 0.5, + "learning_rate": 2.6414143144987974e-05, + "loss": 4.071, + "step": 3887 + }, + { + "epoch": 0.5, + "learning_rate": 2.640379406444925e-05, + "loss": 3.9136, + "step": 3888 + }, + { + "epoch": 0.5, + "learning_rate": 2.6393444742582056e-05, + "loss": 3.8605, + "step": 3889 + }, + { + "epoch": 0.5, + "learning_rate": 2.6383095181165553e-05, + "loss": 3.901, + "step": 3890 + }, + { + "epoch": 0.5, + "learning_rate": 2.637274538197896e-05, + "loss": 4.0314, + "step": 3891 + }, + { + "epoch": 0.5, + "learning_rate": 2.636239534680151e-05, + "loss": 3.9278, + "step": 3892 + }, + { + "epoch": 0.5, + "learning_rate": 2.6352045077412517e-05, + "loss": 4.0985, + "step": 3893 + }, + { + "epoch": 0.5, + "learning_rate": 2.634169457559129e-05, + "loss": 3.9746, + "step": 3894 + }, + { + "epoch": 0.5, + "learning_rate": 2.6331343843117223e-05, + "loss": 4.0513, + "step": 3895 + }, + { + "epoch": 0.5, + "learning_rate": 2.6320992881769713e-05, + "loss": 4.0773, + "step": 3896 + }, + { + "epoch": 0.5, + "learning_rate": 2.6310641693328205e-05, + "loss": 4.0809, + "step": 3897 + }, + { + "epoch": 0.5, + "learning_rate": 2.6300290279572198e-05, + "loss": 3.9411, + "step": 3898 + }, + { + "epoch": 0.5, + "learning_rate": 2.628993864228122e-05, + "loss": 4.016, + "step": 3899 + }, + { + "epoch": 0.5, + "learning_rate": 2.627958678323484e-05, + "loss": 3.7955, + "step": 3900 + }, + { + "epoch": 0.5, + "learning_rate": 2.626923470421264e-05, + "loss": 4.1203, + "step": 3901 + }, + { + "epoch": 0.5, + "learning_rate": 2.62588824069943e-05, + "loss": 4.0247, + "step": 3902 + }, + { + "epoch": 0.5, + "learning_rate": 2.6248529893359473e-05, + "loss": 3.8833, + "step": 3903 + }, + { + "epoch": 0.5, + "learning_rate": 2.623817716508788e-05, + "loss": 4.0077, + "step": 3904 + }, + { + "epoch": 0.5, + "learning_rate": 2.6227824223959284e-05, + "loss": 3.9524, + "step": 3905 + }, + { + "epoch": 0.5, + "learning_rate": 2.6217471071753464e-05, + "loss": 3.8928, + "step": 3906 + }, + { + "epoch": 0.5, + "learning_rate": 2.6207117710250257e-05, + "loss": 3.9196, + "step": 3907 + }, + { + "epoch": 0.5, + "learning_rate": 2.6196764141229518e-05, + "loss": 4.0421, + "step": 3908 + }, + { + "epoch": 0.5, + "learning_rate": 2.6186410366471154e-05, + "loss": 3.9562, + "step": 3909 + }, + { + "epoch": 0.5, + "learning_rate": 2.6176056387755093e-05, + "loss": 3.9358, + "step": 3910 + }, + { + "epoch": 0.5, + "learning_rate": 2.6165702206861297e-05, + "loss": 3.9635, + "step": 3911 + }, + { + "epoch": 0.5, + "learning_rate": 2.615534782556978e-05, + "loss": 3.9765, + "step": 3912 + }, + { + "epoch": 0.5, + "learning_rate": 2.6144993245660587e-05, + "loss": 4.0025, + "step": 3913 + }, + { + "epoch": 0.5, + "learning_rate": 2.6134638468913773e-05, + "loss": 3.9981, + "step": 3914 + }, + { + "epoch": 0.5, + "learning_rate": 2.6124283497109447e-05, + "loss": 4.1176, + "step": 3915 + }, + { + "epoch": 0.5, + "learning_rate": 2.6113928332027765e-05, + "loss": 3.8035, + "step": 3916 + }, + { + "epoch": 0.5, + "learning_rate": 2.6103572975448887e-05, + "loss": 3.7702, + "step": 3917 + }, + { + "epoch": 0.5, + "learning_rate": 2.6093217429153023e-05, + "loss": 3.9591, + "step": 3918 + }, + { + "epoch": 0.5, + "learning_rate": 2.6082861694920403e-05, + "loss": 4.0026, + "step": 3919 + }, + { + "epoch": 0.5, + "learning_rate": 2.6072505774531303e-05, + "loss": 3.9309, + "step": 3920 + }, + { + "epoch": 0.5, + "learning_rate": 2.6062149669766034e-05, + "loss": 3.9494, + "step": 3921 + }, + { + "epoch": 0.5, + "learning_rate": 2.6051793382404914e-05, + "loss": 3.9872, + "step": 3922 + }, + { + "epoch": 0.5, + "learning_rate": 2.6041436914228328e-05, + "loss": 3.895, + "step": 3923 + }, + { + "epoch": 0.5, + "learning_rate": 2.6031080267016668e-05, + "loss": 3.9715, + "step": 3924 + }, + { + "epoch": 0.5, + "learning_rate": 2.6020723442550343e-05, + "loss": 3.902, + "step": 3925 + }, + { + "epoch": 0.5, + "learning_rate": 2.6010366442609824e-05, + "loss": 3.9133, + "step": 3926 + }, + { + "epoch": 0.5, + "learning_rate": 2.600000926897561e-05, + "loss": 3.9394, + "step": 3927 + }, + { + "epoch": 0.5, + "learning_rate": 2.598965192342821e-05, + "loss": 3.7799, + "step": 3928 + }, + { + "epoch": 0.5, + "learning_rate": 2.597929440774816e-05, + "loss": 4.0932, + "step": 3929 + }, + { + "epoch": 0.5, + "learning_rate": 2.5968936723716053e-05, + "loss": 3.8728, + "step": 3930 + }, + { + "epoch": 0.5, + "learning_rate": 2.5958578873112498e-05, + "loss": 4.1027, + "step": 3931 + }, + { + "epoch": 0.5, + "learning_rate": 2.594822085771812e-05, + "loss": 3.887, + "step": 3932 + }, + { + "epoch": 0.5, + "learning_rate": 2.5937862679313573e-05, + "loss": 3.8959, + "step": 3933 + }, + { + "epoch": 0.5, + "learning_rate": 2.5927504339679564e-05, + "loss": 3.843, + "step": 3934 + }, + { + "epoch": 0.5, + "learning_rate": 2.5917145840596814e-05, + "loss": 3.9101, + "step": 3935 + }, + { + "epoch": 0.5, + "learning_rate": 2.5906787183846053e-05, + "loss": 3.9849, + "step": 3936 + }, + { + "epoch": 0.5, + "learning_rate": 2.589642837120807e-05, + "loss": 3.9213, + "step": 3937 + }, + { + "epoch": 0.5, + "learning_rate": 2.5886069404463648e-05, + "loss": 4.0402, + "step": 3938 + }, + { + "epoch": 0.5, + "learning_rate": 2.5875710285393634e-05, + "loss": 3.9686, + "step": 3939 + }, + { + "epoch": 0.5, + "learning_rate": 2.586535101577886e-05, + "loss": 3.9944, + "step": 3940 + }, + { + "epoch": 0.5, + "learning_rate": 2.585499159740022e-05, + "loss": 3.9216, + "step": 3941 + }, + { + "epoch": 0.5, + "learning_rate": 2.5844632032038612e-05, + "loss": 3.9634, + "step": 3942 + }, + { + "epoch": 0.5, + "learning_rate": 2.5834272321474968e-05, + "loss": 3.9756, + "step": 3943 + }, + { + "epoch": 0.5, + "learning_rate": 2.582391246749023e-05, + "loss": 3.9993, + "step": 3944 + }, + { + "epoch": 0.5, + "learning_rate": 2.5813552471865397e-05, + "loss": 3.8586, + "step": 3945 + }, + { + "epoch": 0.51, + "learning_rate": 2.5803192336381465e-05, + "loss": 3.9094, + "step": 3946 + }, + { + "epoch": 0.51, + "learning_rate": 2.579283206281945e-05, + "loss": 3.9988, + "step": 3947 + }, + { + "epoch": 0.51, + "learning_rate": 2.5782471652960416e-05, + "loss": 3.9996, + "step": 3948 + }, + { + "epoch": 0.51, + "learning_rate": 2.5772111108585433e-05, + "loss": 4.0278, + "step": 3949 + }, + { + "epoch": 0.51, + "learning_rate": 2.5761750431475606e-05, + "loss": 3.838, + "step": 3950 + }, + { + "epoch": 0.51, + "learning_rate": 2.5751389623412043e-05, + "loss": 3.8869, + "step": 3951 + }, + { + "epoch": 0.51, + "learning_rate": 2.5741028686175888e-05, + "loss": 3.981, + "step": 3952 + }, + { + "epoch": 0.51, + "learning_rate": 2.5730667621548322e-05, + "loss": 4.0348, + "step": 3953 + }, + { + "epoch": 0.51, + "learning_rate": 2.572030643131051e-05, + "loss": 3.9171, + "step": 3954 + }, + { + "epoch": 0.51, + "learning_rate": 2.5709945117243677e-05, + "loss": 3.9817, + "step": 3955 + }, + { + "epoch": 0.51, + "learning_rate": 2.5699583681129053e-05, + "loss": 3.9943, + "step": 3956 + }, + { + "epoch": 0.51, + "learning_rate": 2.568922212474788e-05, + "loss": 3.9739, + "step": 3957 + }, + { + "epoch": 0.51, + "learning_rate": 2.5678860449881424e-05, + "loss": 3.904, + "step": 3958 + }, + { + "epoch": 0.51, + "learning_rate": 2.5668498658311003e-05, + "loss": 4.0578, + "step": 3959 + }, + { + "epoch": 0.51, + "learning_rate": 2.565813675181791e-05, + "loss": 3.9823, + "step": 3960 + }, + { + "epoch": 0.51, + "learning_rate": 2.5647774732183473e-05, + "loss": 3.8976, + "step": 3961 + }, + { + "epoch": 0.51, + "learning_rate": 2.5637412601189043e-05, + "loss": 3.9779, + "step": 3962 + }, + { + "epoch": 0.51, + "learning_rate": 2.562705036061601e-05, + "loss": 4.1019, + "step": 3963 + }, + { + "epoch": 0.51, + "learning_rate": 2.5616688012245747e-05, + "loss": 4.1779, + "step": 3964 + }, + { + "epoch": 0.51, + "learning_rate": 2.5606325557859668e-05, + "loss": 3.9788, + "step": 3965 + }, + { + "epoch": 0.51, + "learning_rate": 2.5595962999239187e-05, + "loss": 3.9581, + "step": 3966 + }, + { + "epoch": 0.51, + "learning_rate": 2.5585600338165766e-05, + "loss": 4.2263, + "step": 3967 + }, + { + "epoch": 0.51, + "learning_rate": 2.5575237576420862e-05, + "loss": 4.0522, + "step": 3968 + }, + { + "epoch": 0.51, + "learning_rate": 2.5564874715785943e-05, + "loss": 3.8385, + "step": 3969 + }, + { + "epoch": 0.51, + "learning_rate": 2.5554511758042515e-05, + "loss": 3.8174, + "step": 3970 + }, + { + "epoch": 0.51, + "learning_rate": 2.554414870497208e-05, + "loss": 3.8797, + "step": 3971 + }, + { + "epoch": 0.51, + "learning_rate": 2.5533785558356175e-05, + "loss": 3.9492, + "step": 3972 + }, + { + "epoch": 0.51, + "learning_rate": 2.5523422319976352e-05, + "loss": 4.0064, + "step": 3973 + }, + { + "epoch": 0.51, + "learning_rate": 2.5513058991614163e-05, + "loss": 4.0572, + "step": 3974 + }, + { + "epoch": 0.51, + "learning_rate": 2.550269557505118e-05, + "loss": 3.7921, + "step": 3975 + }, + { + "epoch": 0.51, + "learning_rate": 2.5492332072069003e-05, + "loss": 3.9701, + "step": 3976 + }, + { + "epoch": 0.51, + "learning_rate": 2.5481968484449236e-05, + "loss": 3.9187, + "step": 3977 + }, + { + "epoch": 0.51, + "learning_rate": 2.5471604813973505e-05, + "loss": 3.9959, + "step": 3978 + }, + { + "epoch": 0.51, + "learning_rate": 2.546124106242343e-05, + "loss": 4.0563, + "step": 3979 + }, + { + "epoch": 0.51, + "learning_rate": 2.5450877231580665e-05, + "loss": 4.0305, + "step": 3980 + }, + { + "epoch": 0.51, + "learning_rate": 2.544051332322689e-05, + "loss": 3.9794, + "step": 3981 + }, + { + "epoch": 0.51, + "learning_rate": 2.5430149339143762e-05, + "loss": 4.0521, + "step": 3982 + }, + { + "epoch": 0.51, + "learning_rate": 2.5419785281112972e-05, + "loss": 3.9468, + "step": 3983 + }, + { + "epoch": 0.51, + "learning_rate": 2.5409421150916235e-05, + "loss": 3.8384, + "step": 3984 + }, + { + "epoch": 0.51, + "learning_rate": 2.5399056950335244e-05, + "loss": 3.8766, + "step": 3985 + }, + { + "epoch": 0.51, + "learning_rate": 2.5388692681151747e-05, + "loss": 3.9313, + "step": 3986 + }, + { + "epoch": 0.51, + "learning_rate": 2.5378328345147468e-05, + "loss": 3.9013, + "step": 3987 + }, + { + "epoch": 0.51, + "learning_rate": 2.536796394410416e-05, + "loss": 3.9742, + "step": 3988 + }, + { + "epoch": 0.51, + "learning_rate": 2.5357599479803585e-05, + "loss": 3.9006, + "step": 3989 + }, + { + "epoch": 0.51, + "learning_rate": 2.5347234954027503e-05, + "loss": 3.8717, + "step": 3990 + }, + { + "epoch": 0.51, + "learning_rate": 2.5336870368557726e-05, + "loss": 3.998, + "step": 3991 + }, + { + "epoch": 0.51, + "learning_rate": 2.532650572517602e-05, + "loss": 3.9032, + "step": 3992 + }, + { + "epoch": 0.51, + "learning_rate": 2.5316141025664192e-05, + "loss": 3.8416, + "step": 3993 + }, + { + "epoch": 0.51, + "learning_rate": 2.5305776271804055e-05, + "loss": 4.0578, + "step": 3994 + }, + { + "epoch": 0.51, + "learning_rate": 2.5295411465377433e-05, + "loss": 3.9552, + "step": 3995 + }, + { + "epoch": 0.51, + "learning_rate": 2.528504660816616e-05, + "loss": 4.0347, + "step": 3996 + }, + { + "epoch": 0.51, + "learning_rate": 2.527468170195207e-05, + "loss": 3.9588, + "step": 3997 + }, + { + "epoch": 0.51, + "learning_rate": 2.526431674851701e-05, + "loss": 4.0328, + "step": 3998 + }, + { + "epoch": 0.51, + "learning_rate": 2.525395174964283e-05, + "loss": 4.1715, + "step": 3999 + }, + { + "epoch": 0.51, + "learning_rate": 2.524358670711141e-05, + "loss": 4.1672, + "step": 4000 + }, + { + "epoch": 0.51, + "learning_rate": 2.5233221622704604e-05, + "loss": 3.9548, + "step": 4001 + }, + { + "epoch": 0.51, + "learning_rate": 2.52228564982043e-05, + "loss": 3.9426, + "step": 4002 + }, + { + "epoch": 0.51, + "learning_rate": 2.521249133539238e-05, + "loss": 3.9748, + "step": 4003 + }, + { + "epoch": 0.51, + "learning_rate": 2.5202126136050742e-05, + "loss": 3.9099, + "step": 4004 + }, + { + "epoch": 0.51, + "learning_rate": 2.519176090196127e-05, + "loss": 3.9379, + "step": 4005 + }, + { + "epoch": 0.51, + "learning_rate": 2.518139563490588e-05, + "loss": 3.9203, + "step": 4006 + }, + { + "epoch": 0.51, + "learning_rate": 2.5171030336666478e-05, + "loss": 3.9569, + "step": 4007 + }, + { + "epoch": 0.51, + "learning_rate": 2.516066500902497e-05, + "loss": 3.787, + "step": 4008 + }, + { + "epoch": 0.51, + "learning_rate": 2.5150299653763294e-05, + "loss": 3.7855, + "step": 4009 + }, + { + "epoch": 0.51, + "learning_rate": 2.513993427266336e-05, + "loss": 3.9394, + "step": 4010 + }, + { + "epoch": 0.51, + "learning_rate": 2.5129568867507102e-05, + "loss": 4.0551, + "step": 4011 + }, + { + "epoch": 0.51, + "learning_rate": 2.5119203440076455e-05, + "loss": 4.0024, + "step": 4012 + }, + { + "epoch": 0.51, + "learning_rate": 2.5108837992153354e-05, + "loss": 4.0408, + "step": 4013 + }, + { + "epoch": 0.51, + "learning_rate": 2.5098472525519746e-05, + "loss": 4.0465, + "step": 4014 + }, + { + "epoch": 0.51, + "learning_rate": 2.5088107041957564e-05, + "loss": 4.0299, + "step": 4015 + }, + { + "epoch": 0.51, + "learning_rate": 2.5077741543248763e-05, + "loss": 3.9877, + "step": 4016 + }, + { + "epoch": 0.51, + "learning_rate": 2.5067376031175282e-05, + "loss": 4.0596, + "step": 4017 + }, + { + "epoch": 0.51, + "learning_rate": 2.505701050751909e-05, + "loss": 3.8838, + "step": 4018 + }, + { + "epoch": 0.51, + "learning_rate": 2.504664497406212e-05, + "loss": 3.8713, + "step": 4019 + }, + { + "epoch": 0.51, + "learning_rate": 2.5036279432586352e-05, + "loss": 3.9648, + "step": 4020 + }, + { + "epoch": 0.51, + "learning_rate": 2.5025913884873727e-05, + "loss": 3.9992, + "step": 4021 + }, + { + "epoch": 0.51, + "learning_rate": 2.501554833270619e-05, + "loss": 4.0525, + "step": 4022 + }, + { + "epoch": 0.51, + "learning_rate": 2.5005182777865727e-05, + "loss": 3.9177, + "step": 4023 + }, + { + "epoch": 0.52, + "learning_rate": 2.4994817222134275e-05, + "loss": 3.9691, + "step": 4024 + }, + { + "epoch": 0.52, + "learning_rate": 2.4984451667293813e-05, + "loss": 3.9448, + "step": 4025 + }, + { + "epoch": 0.52, + "learning_rate": 2.4974086115126282e-05, + "loss": 3.9786, + "step": 4026 + }, + { + "epoch": 0.52, + "learning_rate": 2.4963720567413654e-05, + "loss": 4.1321, + "step": 4027 + }, + { + "epoch": 0.52, + "learning_rate": 2.495335502593788e-05, + "loss": 3.9395, + "step": 4028 + }, + { + "epoch": 0.52, + "learning_rate": 2.4942989492480915e-05, + "loss": 3.9504, + "step": 4029 + }, + { + "epoch": 0.52, + "learning_rate": 2.4932623968824723e-05, + "loss": 3.8922, + "step": 4030 + }, + { + "epoch": 0.52, + "learning_rate": 2.492225845675125e-05, + "loss": 3.9434, + "step": 4031 + }, + { + "epoch": 0.52, + "learning_rate": 2.4911892958042442e-05, + "loss": 4.0326, + "step": 4032 + }, + { + "epoch": 0.52, + "learning_rate": 2.490152747448026e-05, + "loss": 3.9895, + "step": 4033 + }, + { + "epoch": 0.52, + "learning_rate": 2.4891162007846645e-05, + "loss": 3.9941, + "step": 4034 + }, + { + "epoch": 0.52, + "learning_rate": 2.4880796559923547e-05, + "loss": 4.0939, + "step": 4035 + }, + { + "epoch": 0.52, + "learning_rate": 2.4870431132492904e-05, + "loss": 4.0124, + "step": 4036 + }, + { + "epoch": 0.52, + "learning_rate": 2.4860065727336645e-05, + "loss": 4.0517, + "step": 4037 + }, + { + "epoch": 0.52, + "learning_rate": 2.4849700346236715e-05, + "loss": 3.8688, + "step": 4038 + }, + { + "epoch": 0.52, + "learning_rate": 2.4839334990975037e-05, + "loss": 3.9422, + "step": 4039 + }, + { + "epoch": 0.52, + "learning_rate": 2.4828969663333535e-05, + "loss": 3.9863, + "step": 4040 + }, + { + "epoch": 0.52, + "learning_rate": 2.4818604365094132e-05, + "loss": 4.1297, + "step": 4041 + }, + { + "epoch": 0.52, + "learning_rate": 2.4808239098038745e-05, + "loss": 4.0743, + "step": 4042 + }, + { + "epoch": 0.52, + "learning_rate": 2.4797873863949264e-05, + "loss": 4.0079, + "step": 4043 + }, + { + "epoch": 0.52, + "learning_rate": 2.478750866460762e-05, + "loss": 3.9435, + "step": 4044 + }, + { + "epoch": 0.52, + "learning_rate": 2.4777143501795702e-05, + "loss": 3.9781, + "step": 4045 + }, + { + "epoch": 0.52, + "learning_rate": 2.47667783772954e-05, + "loss": 3.963, + "step": 4046 + }, + { + "epoch": 0.52, + "learning_rate": 2.4756413292888595e-05, + "loss": 3.9624, + "step": 4047 + }, + { + "epoch": 0.52, + "learning_rate": 2.4746048250357174e-05, + "loss": 4.0018, + "step": 4048 + }, + { + "epoch": 0.52, + "learning_rate": 2.4735683251483002e-05, + "loss": 4.0785, + "step": 4049 + }, + { + "epoch": 0.52, + "learning_rate": 2.472531829804794e-05, + "loss": 3.9147, + "step": 4050 + }, + { + "epoch": 0.52, + "learning_rate": 2.4714953391833848e-05, + "loss": 3.8651, + "step": 4051 + }, + { + "epoch": 0.52, + "learning_rate": 2.4704588534622562e-05, + "loss": 3.9915, + "step": 4052 + }, + { + "epoch": 0.52, + "learning_rate": 2.4694223728195947e-05, + "loss": 4.0633, + "step": 4053 + }, + { + "epoch": 0.52, + "learning_rate": 2.4683858974335817e-05, + "loss": 4.0723, + "step": 4054 + }, + { + "epoch": 0.52, + "learning_rate": 2.4673494274823987e-05, + "loss": 3.9571, + "step": 4055 + }, + { + "epoch": 0.52, + "learning_rate": 2.466312963144228e-05, + "loss": 4.1461, + "step": 4056 + }, + { + "epoch": 0.52, + "learning_rate": 2.46527650459725e-05, + "loss": 4.0763, + "step": 4057 + }, + { + "epoch": 0.52, + "learning_rate": 2.4642400520196424e-05, + "loss": 4.0197, + "step": 4058 + }, + { + "epoch": 0.52, + "learning_rate": 2.4632036055895852e-05, + "loss": 3.8791, + "step": 4059 + }, + { + "epoch": 0.52, + "learning_rate": 2.4621671654852545e-05, + "loss": 3.8951, + "step": 4060 + }, + { + "epoch": 0.52, + "learning_rate": 2.461130731884826e-05, + "loss": 4.0913, + "step": 4061 + }, + { + "epoch": 0.52, + "learning_rate": 2.4600943049664755e-05, + "loss": 3.8254, + "step": 4062 + }, + { + "epoch": 0.52, + "learning_rate": 2.4590578849083774e-05, + "loss": 4.0294, + "step": 4063 + }, + { + "epoch": 0.52, + "learning_rate": 2.458021471888703e-05, + "loss": 3.9984, + "step": 4064 + }, + { + "epoch": 0.52, + "learning_rate": 2.456985066085624e-05, + "loss": 3.9851, + "step": 4065 + }, + { + "epoch": 0.52, + "learning_rate": 2.4559486676773117e-05, + "loss": 4.0485, + "step": 4066 + }, + { + "epoch": 0.52, + "learning_rate": 2.454912276841934e-05, + "loss": 3.9712, + "step": 4067 + }, + { + "epoch": 0.52, + "learning_rate": 2.453875893757658e-05, + "loss": 4.0018, + "step": 4068 + }, + { + "epoch": 0.52, + "learning_rate": 2.4528395186026508e-05, + "loss": 3.9453, + "step": 4069 + }, + { + "epoch": 0.52, + "learning_rate": 2.4518031515550763e-05, + "loss": 4.0294, + "step": 4070 + }, + { + "epoch": 0.52, + "learning_rate": 2.4507667927930996e-05, + "loss": 3.8595, + "step": 4071 + }, + { + "epoch": 0.52, + "learning_rate": 2.449730442494882e-05, + "loss": 3.9325, + "step": 4072 + }, + { + "epoch": 0.52, + "learning_rate": 2.4486941008385843e-05, + "loss": 4.0711, + "step": 4073 + }, + { + "epoch": 0.52, + "learning_rate": 2.4476577680023653e-05, + "loss": 4.0323, + "step": 4074 + }, + { + "epoch": 0.52, + "learning_rate": 2.4466214441643827e-05, + "loss": 4.0637, + "step": 4075 + }, + { + "epoch": 0.52, + "learning_rate": 2.4455851295027925e-05, + "loss": 4.0595, + "step": 4076 + }, + { + "epoch": 0.52, + "learning_rate": 2.4445488241957498e-05, + "loss": 3.907, + "step": 4077 + }, + { + "epoch": 0.52, + "learning_rate": 2.4435125284214073e-05, + "loss": 4.0189, + "step": 4078 + }, + { + "epoch": 0.52, + "learning_rate": 2.442476242357915e-05, + "loss": 3.9733, + "step": 4079 + }, + { + "epoch": 0.52, + "learning_rate": 2.441439966183423e-05, + "loss": 3.9684, + "step": 4080 + }, + { + "epoch": 0.52, + "learning_rate": 2.440403700076081e-05, + "loss": 4.0162, + "step": 4081 + }, + { + "epoch": 0.52, + "learning_rate": 2.439367444214034e-05, + "loss": 4.0518, + "step": 4082 + }, + { + "epoch": 0.52, + "learning_rate": 2.4383311987754255e-05, + "loss": 4.0409, + "step": 4083 + }, + { + "epoch": 0.52, + "learning_rate": 2.4372949639383995e-05, + "loss": 4.0946, + "step": 4084 + }, + { + "epoch": 0.52, + "learning_rate": 2.436258739881096e-05, + "loss": 3.9416, + "step": 4085 + }, + { + "epoch": 0.52, + "learning_rate": 2.4352225267816536e-05, + "loss": 3.9147, + "step": 4086 + }, + { + "epoch": 0.52, + "learning_rate": 2.4341863248182104e-05, + "loss": 3.9495, + "step": 4087 + }, + { + "epoch": 0.52, + "learning_rate": 2.433150134168901e-05, + "loss": 3.9927, + "step": 4088 + }, + { + "epoch": 0.52, + "learning_rate": 2.432113955011857e-05, + "loss": 3.912, + "step": 4089 + }, + { + "epoch": 0.52, + "learning_rate": 2.431077787525213e-05, + "loss": 3.7738, + "step": 4090 + }, + { + "epoch": 0.52, + "learning_rate": 2.430041631887095e-05, + "loss": 3.8967, + "step": 4091 + }, + { + "epoch": 0.52, + "learning_rate": 2.4290054882756325e-05, + "loss": 4.1256, + "step": 4092 + }, + { + "epoch": 0.52, + "learning_rate": 2.4279693568689496e-05, + "loss": 4.0427, + "step": 4093 + }, + { + "epoch": 0.52, + "learning_rate": 2.4269332378451687e-05, + "loss": 4.0102, + "step": 4094 + }, + { + "epoch": 0.52, + "learning_rate": 2.4258971313824118e-05, + "loss": 3.8911, + "step": 4095 + }, + { + "epoch": 0.52, + "learning_rate": 2.4248610376587973e-05, + "loss": 3.9266, + "step": 4096 + }, + { + "epoch": 0.52, + "learning_rate": 2.4238249568524403e-05, + "loss": 3.8839, + "step": 4097 + }, + { + "epoch": 0.52, + "learning_rate": 2.4227888891414563e-05, + "loss": 3.8703, + "step": 4098 + }, + { + "epoch": 0.52, + "learning_rate": 2.4217528347039583e-05, + "loss": 4.0417, + "step": 4099 + }, + { + "epoch": 0.52, + "learning_rate": 2.4207167937180554e-05, + "loss": 4.0616, + "step": 4100 + }, + { + "epoch": 0.52, + "learning_rate": 2.419680766361854e-05, + "loss": 3.9697, + "step": 4101 + }, + { + "epoch": 0.53, + "learning_rate": 2.4186447528134605e-05, + "loss": 4.1208, + "step": 4102 + }, + { + "epoch": 0.53, + "learning_rate": 2.417608753250977e-05, + "loss": 4.1813, + "step": 4103 + }, + { + "epoch": 0.53, + "learning_rate": 2.416572767852504e-05, + "loss": 4.1088, + "step": 4104 + }, + { + "epoch": 0.53, + "learning_rate": 2.4155367967961394e-05, + "loss": 3.9396, + "step": 4105 + }, + { + "epoch": 0.53, + "learning_rate": 2.414500840259979e-05, + "loss": 3.9978, + "step": 4106 + }, + { + "epoch": 0.53, + "learning_rate": 2.413464898422114e-05, + "loss": 3.8552, + "step": 4107 + }, + { + "epoch": 0.53, + "learning_rate": 2.4124289714606368e-05, + "loss": 3.9429, + "step": 4108 + }, + { + "epoch": 0.53, + "learning_rate": 2.411393059553635e-05, + "loss": 4.0211, + "step": 4109 + }, + { + "epoch": 0.53, + "learning_rate": 2.410357162879194e-05, + "loss": 4.0515, + "step": 4110 + }, + { + "epoch": 0.53, + "learning_rate": 2.4093212816153952e-05, + "loss": 4.0749, + "step": 4111 + }, + { + "epoch": 0.53, + "learning_rate": 2.408285415940319e-05, + "loss": 4.122, + "step": 4112 + }, + { + "epoch": 0.53, + "learning_rate": 2.407249566032044e-05, + "loss": 4.0228, + "step": 4113 + }, + { + "epoch": 0.53, + "learning_rate": 2.4062137320686436e-05, + "loss": 3.9972, + "step": 4114 + }, + { + "epoch": 0.53, + "learning_rate": 2.4051779142281892e-05, + "loss": 3.9389, + "step": 4115 + }, + { + "epoch": 0.53, + "learning_rate": 2.4041421126887515e-05, + "loss": 3.8793, + "step": 4116 + }, + { + "epoch": 0.53, + "learning_rate": 2.4031063276283946e-05, + "loss": 3.8973, + "step": 4117 + }, + { + "epoch": 0.53, + "learning_rate": 2.4020705592251843e-05, + "loss": 3.9928, + "step": 4118 + }, + { + "epoch": 0.53, + "learning_rate": 2.40103480765718e-05, + "loss": 3.9146, + "step": 4119 + }, + { + "epoch": 0.53, + "learning_rate": 2.3999990731024396e-05, + "loss": 3.9987, + "step": 4120 + }, + { + "epoch": 0.53, + "learning_rate": 2.3989633557390182e-05, + "loss": 3.9178, + "step": 4121 + }, + { + "epoch": 0.53, + "learning_rate": 2.3979276557449666e-05, + "loss": 3.8698, + "step": 4122 + }, + { + "epoch": 0.53, + "learning_rate": 2.3968919732983348e-05, + "loss": 3.9711, + "step": 4123 + }, + { + "epoch": 0.53, + "learning_rate": 2.3958563085771678e-05, + "loss": 3.7583, + "step": 4124 + }, + { + "epoch": 0.53, + "learning_rate": 2.394820661759509e-05, + "loss": 3.7321, + "step": 4125 + }, + { + "epoch": 0.53, + "learning_rate": 2.3937850330233965e-05, + "loss": 4.0107, + "step": 4126 + }, + { + "epoch": 0.53, + "learning_rate": 2.3927494225468693e-05, + "loss": 3.9755, + "step": 4127 + }, + { + "epoch": 0.53, + "learning_rate": 2.39171383050796e-05, + "loss": 4.0401, + "step": 4128 + }, + { + "epoch": 0.53, + "learning_rate": 2.390678257084698e-05, + "loss": 4.008, + "step": 4129 + }, + { + "epoch": 0.53, + "learning_rate": 2.3896427024551115e-05, + "loss": 4.0011, + "step": 4130 + }, + { + "epoch": 0.53, + "learning_rate": 2.388607166797224e-05, + "loss": 3.9473, + "step": 4131 + }, + { + "epoch": 0.53, + "learning_rate": 2.387571650289056e-05, + "loss": 4.0976, + "step": 4132 + }, + { + "epoch": 0.53, + "learning_rate": 2.3865361531086236e-05, + "loss": 4.0881, + "step": 4133 + }, + { + "epoch": 0.53, + "learning_rate": 2.3855006754339426e-05, + "loss": 3.9588, + "step": 4134 + }, + { + "epoch": 0.53, + "learning_rate": 2.3844652174430217e-05, + "loss": 4.0514, + "step": 4135 + }, + { + "epoch": 0.53, + "learning_rate": 2.383429779313871e-05, + "loss": 4.0602, + "step": 4136 + }, + { + "epoch": 0.53, + "learning_rate": 2.3823943612244913e-05, + "loss": 3.9742, + "step": 4137 + }, + { + "epoch": 0.53, + "learning_rate": 2.3813589633528855e-05, + "loss": 3.9721, + "step": 4138 + }, + { + "epoch": 0.53, + "learning_rate": 2.3803235858770488e-05, + "loss": 3.9731, + "step": 4139 + }, + { + "epoch": 0.53, + "learning_rate": 2.379288228974975e-05, + "loss": 3.9046, + "step": 4140 + }, + { + "epoch": 0.53, + "learning_rate": 2.3782528928246542e-05, + "loss": 3.9114, + "step": 4141 + }, + { + "epoch": 0.53, + "learning_rate": 2.3772175776040728e-05, + "loss": 4.075, + "step": 4142 + }, + { + "epoch": 0.53, + "learning_rate": 2.3761822834912126e-05, + "loss": 3.7756, + "step": 4143 + }, + { + "epoch": 0.53, + "learning_rate": 2.375147010664053e-05, + "loss": 3.8332, + "step": 4144 + }, + { + "epoch": 0.53, + "learning_rate": 2.37411175930057e-05, + "loss": 3.9725, + "step": 4145 + }, + { + "epoch": 0.53, + "learning_rate": 2.373076529578736e-05, + "loss": 3.9502, + "step": 4146 + }, + { + "epoch": 0.53, + "learning_rate": 2.3720413216765167e-05, + "loss": 3.997, + "step": 4147 + }, + { + "epoch": 0.53, + "learning_rate": 2.3710061357718783e-05, + "loss": 4.0663, + "step": 4148 + }, + { + "epoch": 0.53, + "learning_rate": 2.3699709720427808e-05, + "loss": 3.9491, + "step": 4149 + }, + { + "epoch": 0.53, + "learning_rate": 2.3689358306671798e-05, + "loss": 3.8861, + "step": 4150 + }, + { + "epoch": 0.53, + "learning_rate": 2.36790071182303e-05, + "loss": 4.0338, + "step": 4151 + }, + { + "epoch": 0.53, + "learning_rate": 2.3668656156882786e-05, + "loss": 4.085, + "step": 4152 + }, + { + "epoch": 0.53, + "learning_rate": 2.3658305424408718e-05, + "loss": 4.1035, + "step": 4153 + }, + { + "epoch": 0.53, + "learning_rate": 2.364795492258749e-05, + "loss": 3.9543, + "step": 4154 + }, + { + "epoch": 0.53, + "learning_rate": 2.363760465319849e-05, + "loss": 4.0437, + "step": 4155 + }, + { + "epoch": 0.53, + "learning_rate": 2.362725461802105e-05, + "loss": 3.9813, + "step": 4156 + }, + { + "epoch": 0.53, + "learning_rate": 2.3616904818834453e-05, + "loss": 3.9193, + "step": 4157 + }, + { + "epoch": 0.53, + "learning_rate": 2.360655525741795e-05, + "loss": 3.9623, + "step": 4158 + }, + { + "epoch": 0.53, + "learning_rate": 2.3596205935550756e-05, + "loss": 4.0311, + "step": 4159 + }, + { + "epoch": 0.53, + "learning_rate": 2.3585856855012035e-05, + "loss": 3.9945, + "step": 4160 + }, + { + "epoch": 0.53, + "learning_rate": 2.357550801758091e-05, + "loss": 4.0864, + "step": 4161 + }, + { + "epoch": 0.53, + "learning_rate": 2.3565159425036478e-05, + "loss": 3.936, + "step": 4162 + }, + { + "epoch": 0.53, + "learning_rate": 2.3554811079157764e-05, + "loss": 4.0532, + "step": 4163 + }, + { + "epoch": 0.53, + "learning_rate": 2.354446298172379e-05, + "loss": 4.0393, + "step": 4164 + }, + { + "epoch": 0.53, + "learning_rate": 2.3534115134513497e-05, + "loss": 4.0704, + "step": 4165 + }, + { + "epoch": 0.53, + "learning_rate": 2.352376753930581e-05, + "loss": 3.9338, + "step": 4166 + }, + { + "epoch": 0.53, + "learning_rate": 2.3513420197879597e-05, + "loss": 3.9445, + "step": 4167 + }, + { + "epoch": 0.53, + "learning_rate": 2.3503073112013685e-05, + "loss": 3.9962, + "step": 4168 + }, + { + "epoch": 0.53, + "learning_rate": 2.349272628348686e-05, + "loss": 4.0698, + "step": 4169 + }, + { + "epoch": 0.53, + "learning_rate": 2.3482379714077865e-05, + "loss": 4.0888, + "step": 4170 + }, + { + "epoch": 0.53, + "learning_rate": 2.3472033405565388e-05, + "loss": 3.9264, + "step": 4171 + }, + { + "epoch": 0.53, + "learning_rate": 2.3461687359728073e-05, + "loss": 4.0304, + "step": 4172 + }, + { + "epoch": 0.53, + "learning_rate": 2.3451341578344538e-05, + "loss": 3.9586, + "step": 4173 + }, + { + "epoch": 0.53, + "learning_rate": 2.3440996063193344e-05, + "loss": 3.929, + "step": 4174 + }, + { + "epoch": 0.53, + "learning_rate": 2.3430650816053e-05, + "loss": 3.9806, + "step": 4175 + }, + { + "epoch": 0.53, + "learning_rate": 2.3420305838701972e-05, + "loss": 4.0663, + "step": 4176 + }, + { + "epoch": 0.53, + "learning_rate": 2.3409961132918688e-05, + "loss": 3.9662, + "step": 4177 + }, + { + "epoch": 0.53, + "learning_rate": 2.339961670048152e-05, + "loss": 4.0385, + "step": 4178 + }, + { + "epoch": 0.53, + "learning_rate": 2.3389272543168785e-05, + "loss": 4.0932, + "step": 4179 + }, + { + "epoch": 0.54, + "learning_rate": 2.3378928662758782e-05, + "loss": 3.9781, + "step": 4180 + }, + { + "epoch": 0.54, + "learning_rate": 2.3368585061029724e-05, + "loss": 3.9583, + "step": 4181 + }, + { + "epoch": 0.54, + "learning_rate": 2.3358241739759814e-05, + "loss": 3.8804, + "step": 4182 + }, + { + "epoch": 0.54, + "learning_rate": 2.334789870072718e-05, + "loss": 4.0655, + "step": 4183 + }, + { + "epoch": 0.54, + "learning_rate": 2.3337555945709916e-05, + "loss": 3.8812, + "step": 4184 + }, + { + "epoch": 0.54, + "learning_rate": 2.332721347648606e-05, + "loss": 4.0468, + "step": 4185 + }, + { + "epoch": 0.54, + "learning_rate": 2.3316871294833593e-05, + "loss": 3.9727, + "step": 4186 + }, + { + "epoch": 0.54, + "learning_rate": 2.3306529402530467e-05, + "loss": 4.0061, + "step": 4187 + }, + { + "epoch": 0.54, + "learning_rate": 2.3296187801354568e-05, + "loss": 3.9692, + "step": 4188 + }, + { + "epoch": 0.54, + "learning_rate": 2.328584649308374e-05, + "loss": 4.0, + "step": 4189 + }, + { + "epoch": 0.54, + "learning_rate": 2.3275505479495768e-05, + "loss": 4.0781, + "step": 4190 + }, + { + "epoch": 0.54, + "learning_rate": 2.326516476236839e-05, + "loss": 4.0081, + "step": 4191 + }, + { + "epoch": 0.54, + "learning_rate": 2.3254824343479316e-05, + "loss": 4.0029, + "step": 4192 + }, + { + "epoch": 0.54, + "learning_rate": 2.324448422460616e-05, + "loss": 4.1008, + "step": 4193 + }, + { + "epoch": 0.54, + "learning_rate": 2.323414440752652e-05, + "loss": 3.9061, + "step": 4194 + }, + { + "epoch": 0.54, + "learning_rate": 2.322380489401793e-05, + "loss": 3.96, + "step": 4195 + }, + { + "epoch": 0.54, + "learning_rate": 2.3213465685857873e-05, + "loss": 3.9339, + "step": 4196 + }, + { + "epoch": 0.54, + "learning_rate": 2.3203126784823764e-05, + "loss": 3.8088, + "step": 4197 + }, + { + "epoch": 0.54, + "learning_rate": 2.3192788192693002e-05, + "loss": 4.042, + "step": 4198 + }, + { + "epoch": 0.54, + "learning_rate": 2.31824499112429e-05, + "loss": 3.8844, + "step": 4199 + }, + { + "epoch": 0.54, + "learning_rate": 2.3172111942250717e-05, + "loss": 3.8441, + "step": 4200 + }, + { + "epoch": 0.54, + "learning_rate": 2.316177428749369e-05, + "loss": 4.0451, + "step": 4201 + }, + { + "epoch": 0.54, + "learning_rate": 2.315143694874898e-05, + "loss": 3.9852, + "step": 4202 + }, + { + "epoch": 0.54, + "learning_rate": 2.314109992779368e-05, + "loss": 4.0354, + "step": 4203 + }, + { + "epoch": 0.54, + "learning_rate": 2.3130763226404857e-05, + "loss": 3.9694, + "step": 4204 + }, + { + "epoch": 0.54, + "learning_rate": 2.312042684635951e-05, + "loss": 3.8814, + "step": 4205 + }, + { + "epoch": 0.54, + "learning_rate": 2.3110090789434575e-05, + "loss": 3.8877, + "step": 4206 + }, + { + "epoch": 0.54, + "learning_rate": 2.3099755057406935e-05, + "loss": 3.9881, + "step": 4207 + }, + { + "epoch": 0.54, + "learning_rate": 2.308941965205344e-05, + "loss": 4.0628, + "step": 4208 + }, + { + "epoch": 0.54, + "learning_rate": 2.3079084575150845e-05, + "loss": 3.9154, + "step": 4209 + }, + { + "epoch": 0.54, + "learning_rate": 2.3068749828475887e-05, + "loss": 3.9765, + "step": 4210 + }, + { + "epoch": 0.54, + "learning_rate": 2.3058415413805228e-05, + "loss": 4.028, + "step": 4211 + }, + { + "epoch": 0.54, + "learning_rate": 2.304808133291546e-05, + "loss": 3.9856, + "step": 4212 + }, + { + "epoch": 0.54, + "learning_rate": 2.3037747587583144e-05, + "loss": 4.0501, + "step": 4213 + }, + { + "epoch": 0.54, + "learning_rate": 2.302741417958477e-05, + "loss": 3.9796, + "step": 4214 + }, + { + "epoch": 0.54, + "learning_rate": 2.301708111069676e-05, + "loss": 4.0307, + "step": 4215 + }, + { + "epoch": 0.54, + "learning_rate": 2.30067483826955e-05, + "loss": 4.0961, + "step": 4216 + }, + { + "epoch": 0.54, + "learning_rate": 2.2996415997357297e-05, + "loss": 3.9195, + "step": 4217 + }, + { + "epoch": 0.54, + "learning_rate": 2.2986083956458403e-05, + "loss": 3.9325, + "step": 4218 + }, + { + "epoch": 0.54, + "learning_rate": 2.297575226177503e-05, + "loss": 4.0064, + "step": 4219 + }, + { + "epoch": 0.54, + "learning_rate": 2.296542091508332e-05, + "loss": 4.031, + "step": 4220 + }, + { + "epoch": 0.54, + "learning_rate": 2.2955089918159334e-05, + "loss": 3.9975, + "step": 4221 + }, + { + "epoch": 0.54, + "learning_rate": 2.29447592727791e-05, + "loss": 3.9692, + "step": 4222 + }, + { + "epoch": 0.54, + "learning_rate": 2.2934428980718573e-05, + "loss": 3.8742, + "step": 4223 + }, + { + "epoch": 0.54, + "learning_rate": 2.292409904375365e-05, + "loss": 4.1299, + "step": 4224 + }, + { + "epoch": 0.54, + "learning_rate": 2.2913769463660166e-05, + "loss": 4.0155, + "step": 4225 + }, + { + "epoch": 0.54, + "learning_rate": 2.29034402422139e-05, + "loss": 3.9965, + "step": 4226 + }, + { + "epoch": 0.54, + "learning_rate": 2.2893111381190562e-05, + "loss": 3.9636, + "step": 4227 + }, + { + "epoch": 0.54, + "learning_rate": 2.2882782882365793e-05, + "loss": 3.8974, + "step": 4228 + }, + { + "epoch": 0.54, + "learning_rate": 2.2872454747515198e-05, + "loss": 3.8887, + "step": 4229 + }, + { + "epoch": 0.54, + "learning_rate": 2.2862126978414293e-05, + "loss": 4.0583, + "step": 4230 + }, + { + "epoch": 0.54, + "learning_rate": 2.2851799576838552e-05, + "loss": 3.9349, + "step": 4231 + }, + { + "epoch": 0.54, + "learning_rate": 2.284147254456337e-05, + "loss": 3.9435, + "step": 4232 + }, + { + "epoch": 0.54, + "learning_rate": 2.2831145883364073e-05, + "loss": 3.8807, + "step": 4233 + }, + { + "epoch": 0.54, + "learning_rate": 2.2820819595015948e-05, + "loss": 3.9483, + "step": 4234 + }, + { + "epoch": 0.54, + "learning_rate": 2.28104936812942e-05, + "loss": 3.9969, + "step": 4235 + }, + { + "epoch": 0.54, + "learning_rate": 2.280016814397396e-05, + "loss": 3.8642, + "step": 4236 + }, + { + "epoch": 0.54, + "learning_rate": 2.278984298483032e-05, + "loss": 4.0231, + "step": 4237 + }, + { + "epoch": 0.54, + "learning_rate": 2.27795182056383e-05, + "loss": 3.8148, + "step": 4238 + }, + { + "epoch": 0.54, + "learning_rate": 2.2769193808172844e-05, + "loss": 4.0979, + "step": 4239 + }, + { + "epoch": 0.54, + "learning_rate": 2.2758869794208827e-05, + "loss": 3.9576, + "step": 4240 + }, + { + "epoch": 0.54, + "learning_rate": 2.274854616552108e-05, + "loss": 4.1099, + "step": 4241 + }, + { + "epoch": 0.54, + "learning_rate": 2.2738222923884347e-05, + "loss": 3.823, + "step": 4242 + }, + { + "epoch": 0.54, + "learning_rate": 2.272790007107331e-05, + "loss": 3.8523, + "step": 4243 + }, + { + "epoch": 0.54, + "learning_rate": 2.2717577608862598e-05, + "loss": 3.959, + "step": 4244 + }, + { + "epoch": 0.54, + "learning_rate": 2.2707255539026752e-05, + "loss": 4.0221, + "step": 4245 + }, + { + "epoch": 0.54, + "learning_rate": 2.269693386334025e-05, + "loss": 4.0397, + "step": 4246 + }, + { + "epoch": 0.54, + "learning_rate": 2.2686612583577525e-05, + "loss": 3.9355, + "step": 4247 + }, + { + "epoch": 0.54, + "learning_rate": 2.2676291701512914e-05, + "loss": 3.9333, + "step": 4248 + }, + { + "epoch": 0.54, + "learning_rate": 2.26659712189207e-05, + "loss": 3.985, + "step": 4249 + }, + { + "epoch": 0.54, + "learning_rate": 2.2655651137575095e-05, + "loss": 3.9916, + "step": 4250 + }, + { + "epoch": 0.54, + "learning_rate": 2.2645331459250232e-05, + "loss": 4.0578, + "step": 4251 + }, + { + "epoch": 0.54, + "learning_rate": 2.2635012185720195e-05, + "loss": 4.0454, + "step": 4252 + }, + { + "epoch": 0.54, + "learning_rate": 2.2624693318758977e-05, + "loss": 4.1275, + "step": 4253 + }, + { + "epoch": 0.54, + "learning_rate": 2.261437486014051e-05, + "loss": 4.0358, + "step": 4254 + }, + { + "epoch": 0.54, + "learning_rate": 2.2604056811638658e-05, + "loss": 3.9059, + "step": 4255 + }, + { + "epoch": 0.54, + "learning_rate": 2.2593739175027222e-05, + "loss": 3.9916, + "step": 4256 + }, + { + "epoch": 0.54, + "learning_rate": 2.2583421952079926e-05, + "loss": 3.9208, + "step": 4257 + }, + { + "epoch": 0.55, + "learning_rate": 2.25731051445704e-05, + "loss": 3.9596, + "step": 4258 + }, + { + "epoch": 0.55, + "learning_rate": 2.256278875427224e-05, + "loss": 4.0797, + "step": 4259 + }, + { + "epoch": 0.55, + "learning_rate": 2.2552472782958948e-05, + "loss": 4.095, + "step": 4260 + }, + { + "epoch": 0.55, + "learning_rate": 2.2542157232403958e-05, + "loss": 4.0161, + "step": 4261 + }, + { + "epoch": 0.55, + "learning_rate": 2.2531842104380634e-05, + "loss": 3.9038, + "step": 4262 + }, + { + "epoch": 0.55, + "learning_rate": 2.252152740066227e-05, + "loss": 3.9916, + "step": 4263 + }, + { + "epoch": 0.55, + "learning_rate": 2.2511213123022067e-05, + "loss": 3.9569, + "step": 4264 + }, + { + "epoch": 0.55, + "learning_rate": 2.2500899273233185e-05, + "loss": 4.0091, + "step": 4265 + }, + { + "epoch": 0.55, + "learning_rate": 2.2490585853068687e-05, + "loss": 3.997, + "step": 4266 + }, + { + "epoch": 0.55, + "learning_rate": 2.2480272864301583e-05, + "loss": 3.9879, + "step": 4267 + }, + { + "epoch": 0.55, + "learning_rate": 2.246996030870478e-05, + "loss": 4.1086, + "step": 4268 + }, + { + "epoch": 0.55, + "learning_rate": 2.245964818805113e-05, + "loss": 4.0156, + "step": 4269 + }, + { + "epoch": 0.55, + "learning_rate": 2.2449336504113404e-05, + "loss": 3.9219, + "step": 4270 + }, + { + "epoch": 0.55, + "learning_rate": 2.243902525866431e-05, + "loss": 3.916, + "step": 4271 + }, + { + "epoch": 0.55, + "learning_rate": 2.242871445347646e-05, + "loss": 3.9113, + "step": 4272 + }, + { + "epoch": 0.55, + "learning_rate": 2.2418404090322403e-05, + "loss": 3.8908, + "step": 4273 + }, + { + "epoch": 0.55, + "learning_rate": 2.2408094170974603e-05, + "loss": 4.069, + "step": 4274 + }, + { + "epoch": 0.55, + "learning_rate": 2.2397784697205474e-05, + "loss": 3.9847, + "step": 4275 + }, + { + "epoch": 0.55, + "learning_rate": 2.2387475670787316e-05, + "loss": 3.8375, + "step": 4276 + }, + { + "epoch": 0.55, + "learning_rate": 2.2377167093492386e-05, + "loss": 3.9963, + "step": 4277 + }, + { + "epoch": 0.55, + "learning_rate": 2.2366858967092837e-05, + "loss": 3.9813, + "step": 4278 + }, + { + "epoch": 0.55, + "learning_rate": 2.2356551293360752e-05, + "loss": 4.0325, + "step": 4279 + }, + { + "epoch": 0.55, + "learning_rate": 2.2346244074068152e-05, + "loss": 4.0597, + "step": 4280 + }, + { + "epoch": 0.55, + "learning_rate": 2.233593731098696e-05, + "loss": 3.7643, + "step": 4281 + }, + { + "epoch": 0.55, + "learning_rate": 2.2325631005889024e-05, + "loss": 4.0081, + "step": 4282 + }, + { + "epoch": 0.55, + "learning_rate": 2.2315325160546118e-05, + "loss": 3.9111, + "step": 4283 + }, + { + "epoch": 0.55, + "learning_rate": 2.2305019776729944e-05, + "loss": 3.7956, + "step": 4284 + }, + { + "epoch": 0.55, + "learning_rate": 2.2294714856212118e-05, + "loss": 3.983, + "step": 4285 + }, + { + "epoch": 0.55, + "learning_rate": 2.2284410400764173e-05, + "loss": 4.0479, + "step": 4286 + }, + { + "epoch": 0.55, + "learning_rate": 2.2274106412157552e-05, + "loss": 4.0612, + "step": 4287 + }, + { + "epoch": 0.55, + "learning_rate": 2.2263802892163646e-05, + "loss": 4.0003, + "step": 4288 + }, + { + "epoch": 0.55, + "learning_rate": 2.2253499842553746e-05, + "loss": 3.9506, + "step": 4289 + }, + { + "epoch": 0.55, + "learning_rate": 2.224319726509906e-05, + "loss": 3.9475, + "step": 4290 + }, + { + "epoch": 0.55, + "learning_rate": 2.2232895161570723e-05, + "loss": 4.1155, + "step": 4291 + }, + { + "epoch": 0.55, + "learning_rate": 2.222259353373978e-05, + "loss": 3.9447, + "step": 4292 + }, + { + "epoch": 0.55, + "learning_rate": 2.2212292383377214e-05, + "loss": 3.9035, + "step": 4293 + }, + { + "epoch": 0.55, + "learning_rate": 2.2201991712253906e-05, + "loss": 3.8523, + "step": 4294 + }, + { + "epoch": 0.55, + "learning_rate": 2.219169152214066e-05, + "loss": 3.9764, + "step": 4295 + }, + { + "epoch": 0.55, + "learning_rate": 2.21813918148082e-05, + "loss": 4.0008, + "step": 4296 + }, + { + "epoch": 0.55, + "learning_rate": 2.2171092592027156e-05, + "loss": 4.0798, + "step": 4297 + }, + { + "epoch": 0.55, + "learning_rate": 2.21607938555681e-05, + "loss": 4.1523, + "step": 4298 + }, + { + "epoch": 0.55, + "learning_rate": 2.2150495607201495e-05, + "loss": 3.9587, + "step": 4299 + }, + { + "epoch": 0.55, + "learning_rate": 2.214019784869772e-05, + "loss": 3.9205, + "step": 4300 + }, + { + "epoch": 0.55, + "learning_rate": 2.2129900581827097e-05, + "loss": 4.0542, + "step": 4301 + }, + { + "epoch": 0.55, + "learning_rate": 2.2119603808359824e-05, + "loss": 3.9677, + "step": 4302 + }, + { + "epoch": 0.55, + "learning_rate": 2.210930753006606e-05, + "loss": 4.033, + "step": 4303 + }, + { + "epoch": 0.55, + "learning_rate": 2.2099011748715844e-05, + "loss": 3.9696, + "step": 4304 + }, + { + "epoch": 0.55, + "learning_rate": 2.2088716466079135e-05, + "loss": 4.002, + "step": 4305 + }, + { + "epoch": 0.55, + "learning_rate": 2.207842168392582e-05, + "loss": 3.9339, + "step": 4306 + }, + { + "epoch": 0.55, + "learning_rate": 2.206812740402569e-05, + "loss": 3.9368, + "step": 4307 + }, + { + "epoch": 0.55, + "learning_rate": 2.205783362814844e-05, + "loss": 3.8765, + "step": 4308 + }, + { + "epoch": 0.55, + "learning_rate": 2.2047540358063705e-05, + "loss": 3.9208, + "step": 4309 + }, + { + "epoch": 0.55, + "learning_rate": 2.203724759554101e-05, + "loss": 3.8298, + "step": 4310 + }, + { + "epoch": 0.55, + "learning_rate": 2.202695534234979e-05, + "loss": 4.0108, + "step": 4311 + }, + { + "epoch": 0.55, + "learning_rate": 2.201666360025942e-05, + "loss": 3.9606, + "step": 4312 + }, + { + "epoch": 0.55, + "learning_rate": 2.2006372371039164e-05, + "loss": 3.9293, + "step": 4313 + }, + { + "epoch": 0.55, + "learning_rate": 2.1996081656458204e-05, + "loss": 4.0154, + "step": 4314 + }, + { + "epoch": 0.55, + "learning_rate": 2.1985791458285625e-05, + "loss": 4.1073, + "step": 4315 + }, + { + "epoch": 0.55, + "learning_rate": 2.1975501778290446e-05, + "loss": 4.0245, + "step": 4316 + }, + { + "epoch": 0.55, + "learning_rate": 2.1965212618241576e-05, + "loss": 3.928, + "step": 4317 + }, + { + "epoch": 0.55, + "learning_rate": 2.195492397990783e-05, + "loss": 3.9455, + "step": 4318 + }, + { + "epoch": 0.55, + "learning_rate": 2.194463586505796e-05, + "loss": 3.8943, + "step": 4319 + }, + { + "epoch": 0.55, + "learning_rate": 2.19343482754606e-05, + "loss": 3.9751, + "step": 4320 + }, + { + "epoch": 0.55, + "learning_rate": 2.1924061212884315e-05, + "loss": 4.0282, + "step": 4321 + }, + { + "epoch": 0.55, + "learning_rate": 2.191377467909757e-05, + "loss": 4.0471, + "step": 4322 + }, + { + "epoch": 0.55, + "learning_rate": 2.190348867586873e-05, + "loss": 3.925, + "step": 4323 + }, + { + "epoch": 0.55, + "learning_rate": 2.189320320496609e-05, + "loss": 4.1015, + "step": 4324 + }, + { + "epoch": 0.55, + "learning_rate": 2.1882918268157834e-05, + "loss": 3.929, + "step": 4325 + }, + { + "epoch": 0.55, + "learning_rate": 2.1872633867212062e-05, + "loss": 4.0573, + "step": 4326 + }, + { + "epoch": 0.55, + "learning_rate": 2.1862350003896788e-05, + "loss": 3.8903, + "step": 4327 + }, + { + "epoch": 0.55, + "learning_rate": 2.1852066679979924e-05, + "loss": 4.1051, + "step": 4328 + }, + { + "epoch": 0.55, + "learning_rate": 2.184178389722928e-05, + "loss": 3.8591, + "step": 4329 + }, + { + "epoch": 0.55, + "learning_rate": 2.18315016574126e-05, + "loss": 4.0031, + "step": 4330 + }, + { + "epoch": 0.55, + "learning_rate": 2.182121996229753e-05, + "loss": 3.8067, + "step": 4331 + }, + { + "epoch": 0.55, + "learning_rate": 2.1810938813651594e-05, + "loss": 3.9373, + "step": 4332 + }, + { + "epoch": 0.55, + "learning_rate": 2.1800658213242243e-05, + "loss": 3.9726, + "step": 4333 + }, + { + "epoch": 0.55, + "learning_rate": 2.179037816283684e-05, + "loss": 3.8918, + "step": 4334 + }, + { + "epoch": 0.55, + "learning_rate": 2.178009866420264e-05, + "loss": 3.9711, + "step": 4335 + }, + { + "epoch": 0.56, + "learning_rate": 2.1769819719106803e-05, + "loss": 3.9508, + "step": 4336 + }, + { + "epoch": 0.56, + "learning_rate": 2.1759541329316408e-05, + "loss": 4.0641, + "step": 4337 + }, + { + "epoch": 0.56, + "learning_rate": 2.1749263496598426e-05, + "loss": 4.0721, + "step": 4338 + }, + { + "epoch": 0.56, + "learning_rate": 2.1738986222719722e-05, + "loss": 3.9714, + "step": 4339 + }, + { + "epoch": 0.56, + "learning_rate": 2.17287095094471e-05, + "loss": 3.9902, + "step": 4340 + }, + { + "epoch": 0.56, + "learning_rate": 2.171843335854724e-05, + "loss": 3.8769, + "step": 4341 + }, + { + "epoch": 0.56, + "learning_rate": 2.1708157771786734e-05, + "loss": 4.0382, + "step": 4342 + }, + { + "epoch": 0.56, + "learning_rate": 2.1697882750932064e-05, + "loss": 4.0435, + "step": 4343 + }, + { + "epoch": 0.56, + "learning_rate": 2.1687608297749625e-05, + "loss": 3.9049, + "step": 4344 + }, + { + "epoch": 0.56, + "learning_rate": 2.167733441400573e-05, + "loss": 3.8109, + "step": 4345 + }, + { + "epoch": 0.56, + "learning_rate": 2.1667061101466566e-05, + "loss": 4.081, + "step": 4346 + }, + { + "epoch": 0.56, + "learning_rate": 2.165678836189823e-05, + "loss": 3.9597, + "step": 4347 + }, + { + "epoch": 0.56, + "learning_rate": 2.164651619706673e-05, + "loss": 3.9992, + "step": 4348 + }, + { + "epoch": 0.56, + "learning_rate": 2.1636244608737983e-05, + "loss": 3.8332, + "step": 4349 + }, + { + "epoch": 0.56, + "learning_rate": 2.1625973598677783e-05, + "loss": 3.8699, + "step": 4350 + }, + { + "epoch": 0.56, + "learning_rate": 2.161570316865183e-05, + "loss": 4.0917, + "step": 4351 + }, + { + "epoch": 0.56, + "learning_rate": 2.1605433320425745e-05, + "loss": 3.958, + "step": 4352 + }, + { + "epoch": 0.56, + "learning_rate": 2.1595164055765025e-05, + "loss": 3.94, + "step": 4353 + }, + { + "epoch": 0.56, + "learning_rate": 2.158489537643507e-05, + "loss": 3.9419, + "step": 4354 + }, + { + "epoch": 0.56, + "learning_rate": 2.1574627284201193e-05, + "loss": 3.8364, + "step": 4355 + }, + { + "epoch": 0.56, + "learning_rate": 2.15643597808286e-05, + "loss": 3.9407, + "step": 4356 + }, + { + "epoch": 0.56, + "learning_rate": 2.155409286808238e-05, + "loss": 3.9651, + "step": 4357 + }, + { + "epoch": 0.56, + "learning_rate": 2.1543826547727546e-05, + "loss": 3.9843, + "step": 4358 + }, + { + "epoch": 0.56, + "learning_rate": 2.1533560821529003e-05, + "loss": 3.9111, + "step": 4359 + }, + { + "epoch": 0.56, + "learning_rate": 2.1523295691251544e-05, + "loss": 3.9638, + "step": 4360 + }, + { + "epoch": 0.56, + "learning_rate": 2.1513031158659852e-05, + "loss": 4.0508, + "step": 4361 + }, + { + "epoch": 0.56, + "learning_rate": 2.1502767225518534e-05, + "loss": 4.0017, + "step": 4362 + }, + { + "epoch": 0.56, + "learning_rate": 2.1492503893592074e-05, + "loss": 3.9525, + "step": 4363 + }, + { + "epoch": 0.56, + "learning_rate": 2.1482241164644856e-05, + "loss": 3.9126, + "step": 4364 + }, + { + "epoch": 0.56, + "learning_rate": 2.147197904044116e-05, + "loss": 3.8378, + "step": 4365 + }, + { + "epoch": 0.56, + "learning_rate": 2.146171752274516e-05, + "loss": 3.9897, + "step": 4366 + }, + { + "epoch": 0.56, + "learning_rate": 2.145145661332095e-05, + "loss": 4.0834, + "step": 4367 + }, + { + "epoch": 0.56, + "learning_rate": 2.1441196313932484e-05, + "loss": 4.0486, + "step": 4368 + }, + { + "epoch": 0.56, + "learning_rate": 2.1430936626343626e-05, + "loss": 3.8182, + "step": 4369 + }, + { + "epoch": 0.56, + "learning_rate": 2.142067755231814e-05, + "loss": 4.0616, + "step": 4370 + }, + { + "epoch": 0.56, + "learning_rate": 2.141041909361968e-05, + "loss": 3.7657, + "step": 4371 + }, + { + "epoch": 0.56, + "learning_rate": 2.140016125201179e-05, + "loss": 3.9785, + "step": 4372 + }, + { + "epoch": 0.56, + "learning_rate": 2.138990402925791e-05, + "loss": 3.9233, + "step": 4373 + }, + { + "epoch": 0.56, + "learning_rate": 2.1379647427121388e-05, + "loss": 4.0095, + "step": 4374 + }, + { + "epoch": 0.56, + "learning_rate": 2.1369391447365436e-05, + "loss": 4.0204, + "step": 4375 + }, + { + "epoch": 0.56, + "learning_rate": 2.1359136091753176e-05, + "loss": 3.9861, + "step": 4376 + }, + { + "epoch": 0.56, + "learning_rate": 2.1348881362047645e-05, + "loss": 3.8848, + "step": 4377 + }, + { + "epoch": 0.56, + "learning_rate": 2.1338627260011732e-05, + "loss": 3.9466, + "step": 4378 + }, + { + "epoch": 0.56, + "learning_rate": 2.1328373787408235e-05, + "loss": 4.0997, + "step": 4379 + }, + { + "epoch": 0.56, + "learning_rate": 2.1318120945999853e-05, + "loss": 4.0423, + "step": 4380 + }, + { + "epoch": 0.56, + "learning_rate": 2.1307868737549167e-05, + "loss": 3.8207, + "step": 4381 + }, + { + "epoch": 0.56, + "learning_rate": 2.129761716381864e-05, + "loss": 3.9135, + "step": 4382 + }, + { + "epoch": 0.56, + "learning_rate": 2.128736622657065e-05, + "loss": 3.9201, + "step": 4383 + }, + { + "epoch": 0.56, + "learning_rate": 2.127711592756745e-05, + "loss": 3.8807, + "step": 4384 + }, + { + "epoch": 0.56, + "learning_rate": 2.1266866268571168e-05, + "loss": 4.022, + "step": 4385 + }, + { + "epoch": 0.56, + "learning_rate": 2.1256617251343863e-05, + "loss": 3.9575, + "step": 4386 + }, + { + "epoch": 0.56, + "learning_rate": 2.1246368877647445e-05, + "loss": 3.8826, + "step": 4387 + }, + { + "epoch": 0.56, + "learning_rate": 2.1236121149243735e-05, + "loss": 3.9474, + "step": 4388 + }, + { + "epoch": 0.56, + "learning_rate": 2.1225874067894436e-05, + "loss": 3.8632, + "step": 4389 + }, + { + "epoch": 0.56, + "learning_rate": 2.1215627635361136e-05, + "loss": 4.0085, + "step": 4390 + }, + { + "epoch": 0.56, + "learning_rate": 2.120538185340532e-05, + "loss": 4.0757, + "step": 4391 + }, + { + "epoch": 0.56, + "learning_rate": 2.1195136723788354e-05, + "loss": 3.9093, + "step": 4392 + }, + { + "epoch": 0.56, + "learning_rate": 2.118489224827149e-05, + "loss": 3.9532, + "step": 4393 + }, + { + "epoch": 0.56, + "learning_rate": 2.117464842861587e-05, + "loss": 3.9606, + "step": 4394 + }, + { + "epoch": 0.56, + "learning_rate": 2.1164405266582546e-05, + "loss": 4.0282, + "step": 4395 + }, + { + "epoch": 0.56, + "learning_rate": 2.1154162763932423e-05, + "loss": 3.8857, + "step": 4396 + }, + { + "epoch": 0.56, + "learning_rate": 2.1143920922426297e-05, + "loss": 3.9486, + "step": 4397 + }, + { + "epoch": 0.56, + "learning_rate": 2.1133679743824876e-05, + "loss": 4.1681, + "step": 4398 + }, + { + "epoch": 0.56, + "learning_rate": 2.112343922988873e-05, + "loss": 4.0139, + "step": 4399 + }, + { + "epoch": 0.56, + "learning_rate": 2.1113199382378313e-05, + "loss": 4.0264, + "step": 4400 + }, + { + "epoch": 0.56, + "learning_rate": 2.110296020305399e-05, + "loss": 3.9163, + "step": 4401 + }, + { + "epoch": 0.56, + "learning_rate": 2.1092721693675985e-05, + "loss": 3.9725, + "step": 4402 + }, + { + "epoch": 0.56, + "learning_rate": 2.1082483856004405e-05, + "loss": 4.049, + "step": 4403 + }, + { + "epoch": 0.56, + "learning_rate": 2.107224669179928e-05, + "loss": 3.9195, + "step": 4404 + }, + { + "epoch": 0.56, + "learning_rate": 2.1062010202820477e-05, + "loss": 3.8247, + "step": 4405 + }, + { + "epoch": 0.56, + "learning_rate": 2.1051774390827778e-05, + "loss": 3.8949, + "step": 4406 + }, + { + "epoch": 0.56, + "learning_rate": 2.1041539257580834e-05, + "loss": 4.0068, + "step": 4407 + }, + { + "epoch": 0.56, + "learning_rate": 2.1031304804839177e-05, + "loss": 4.0104, + "step": 4408 + }, + { + "epoch": 0.56, + "learning_rate": 2.1021071034362238e-05, + "loss": 3.963, + "step": 4409 + }, + { + "epoch": 0.56, + "learning_rate": 2.1010837947909316e-05, + "loss": 3.8567, + "step": 4410 + }, + { + "epoch": 0.56, + "learning_rate": 2.1000605547239592e-05, + "loss": 4.0717, + "step": 4411 + }, + { + "epoch": 0.56, + "learning_rate": 2.099037383411214e-05, + "loss": 3.9025, + "step": 4412 + }, + { + "epoch": 0.56, + "learning_rate": 2.0980142810285904e-05, + "loss": 3.9989, + "step": 4413 + }, + { + "epoch": 0.56, + "learning_rate": 2.0969912477519734e-05, + "loss": 3.9775, + "step": 4414 + }, + { + "epoch": 0.57, + "learning_rate": 2.0959682837572317e-05, + "loss": 3.9978, + "step": 4415 + }, + { + "epoch": 0.57, + "learning_rate": 2.094945389220227e-05, + "loss": 3.9055, + "step": 4416 + }, + { + "epoch": 0.57, + "learning_rate": 2.0939225643168057e-05, + "loss": 3.9393, + "step": 4417 + }, + { + "epoch": 0.57, + "learning_rate": 2.0928998092228024e-05, + "loss": 3.8425, + "step": 4418 + }, + { + "epoch": 0.57, + "learning_rate": 2.091877124114042e-05, + "loss": 3.8805, + "step": 4419 + }, + { + "epoch": 0.57, + "learning_rate": 2.0908545091663356e-05, + "loss": 3.9452, + "step": 4420 + }, + { + "epoch": 0.57, + "learning_rate": 2.089831964555482e-05, + "loss": 3.7829, + "step": 4421 + }, + { + "epoch": 0.57, + "learning_rate": 2.088809490457268e-05, + "loss": 3.9057, + "step": 4422 + }, + { + "epoch": 0.57, + "learning_rate": 2.08778708704747e-05, + "loss": 3.8705, + "step": 4423 + }, + { + "epoch": 0.57, + "learning_rate": 2.086764754501851e-05, + "loss": 3.9714, + "step": 4424 + }, + { + "epoch": 0.57, + "learning_rate": 2.0857424929961613e-05, + "loss": 4.0127, + "step": 4425 + }, + { + "epoch": 0.57, + "learning_rate": 2.084720302706139e-05, + "loss": 3.9721, + "step": 4426 + }, + { + "epoch": 0.57, + "learning_rate": 2.0836981838075115e-05, + "loss": 4.0776, + "step": 4427 + }, + { + "epoch": 0.57, + "learning_rate": 2.0826761364759924e-05, + "loss": 3.934, + "step": 4428 + }, + { + "epoch": 0.57, + "learning_rate": 2.081654160887283e-05, + "loss": 3.995, + "step": 4429 + }, + { + "epoch": 0.57, + "learning_rate": 2.080632257217074e-05, + "loss": 3.8921, + "step": 4430 + }, + { + "epoch": 0.57, + "learning_rate": 2.0796104256410402e-05, + "loss": 3.9978, + "step": 4431 + }, + { + "epoch": 0.57, + "learning_rate": 2.078588666334849e-05, + "loss": 4.0142, + "step": 4432 + }, + { + "epoch": 0.57, + "learning_rate": 2.077566979474151e-05, + "loss": 3.9728, + "step": 4433 + }, + { + "epoch": 0.57, + "learning_rate": 2.076545365234587e-05, + "loss": 3.873, + "step": 4434 + }, + { + "epoch": 0.57, + "learning_rate": 2.075523823791784e-05, + "loss": 4.0462, + "step": 4435 + }, + { + "epoch": 0.57, + "learning_rate": 2.0745023553213557e-05, + "loss": 3.8033, + "step": 4436 + }, + { + "epoch": 0.57, + "learning_rate": 2.0734809599989064e-05, + "loss": 3.8861, + "step": 4437 + }, + { + "epoch": 0.57, + "learning_rate": 2.072459638000024e-05, + "loss": 3.9866, + "step": 4438 + }, + { + "epoch": 0.57, + "learning_rate": 2.0714383895002865e-05, + "loss": 4.0898, + "step": 4439 + }, + { + "epoch": 0.57, + "learning_rate": 2.0704172146752576e-05, + "loss": 4.037, + "step": 4440 + }, + { + "epoch": 0.57, + "learning_rate": 2.06939611370049e-05, + "loss": 3.909, + "step": 4441 + }, + { + "epoch": 0.57, + "learning_rate": 2.0683750867515227e-05, + "loss": 4.0128, + "step": 4442 + }, + { + "epoch": 0.57, + "learning_rate": 2.0673541340038822e-05, + "loss": 4.1494, + "step": 4443 + }, + { + "epoch": 0.57, + "learning_rate": 2.066333255633081e-05, + "loss": 3.9662, + "step": 4444 + }, + { + "epoch": 0.57, + "learning_rate": 2.065312451814621e-05, + "loss": 3.9617, + "step": 4445 + }, + { + "epoch": 0.57, + "learning_rate": 2.06429172272399e-05, + "loss": 3.8637, + "step": 4446 + }, + { + "epoch": 0.57, + "learning_rate": 2.0632710685366623e-05, + "loss": 3.9471, + "step": 4447 + }, + { + "epoch": 0.57, + "learning_rate": 2.062250489428102e-05, + "loss": 4.0161, + "step": 4448 + }, + { + "epoch": 0.57, + "learning_rate": 2.061229985573757e-05, + "loss": 3.9989, + "step": 4449 + }, + { + "epoch": 0.57, + "learning_rate": 2.0602095571490633e-05, + "loss": 3.8921, + "step": 4450 + }, + { + "epoch": 0.57, + "learning_rate": 2.0591892043294453e-05, + "loss": 3.9934, + "step": 4451 + }, + { + "epoch": 0.57, + "learning_rate": 2.0581689272903143e-05, + "loss": 4.013, + "step": 4452 + }, + { + "epoch": 0.57, + "learning_rate": 2.0571487262070665e-05, + "loss": 3.8668, + "step": 4453 + }, + { + "epoch": 0.57, + "learning_rate": 2.0561286012550864e-05, + "loss": 3.9896, + "step": 4454 + }, + { + "epoch": 0.57, + "learning_rate": 2.0551085526097462e-05, + "loss": 3.8513, + "step": 4455 + }, + { + "epoch": 0.57, + "learning_rate": 2.0540885804464033e-05, + "loss": 4.027, + "step": 4456 + }, + { + "epoch": 0.57, + "learning_rate": 2.053068684940402e-05, + "loss": 3.8406, + "step": 4457 + }, + { + "epoch": 0.57, + "learning_rate": 2.0520488662670763e-05, + "loss": 3.9177, + "step": 4458 + }, + { + "epoch": 0.57, + "learning_rate": 2.0510291246017417e-05, + "loss": 4.118, + "step": 4459 + }, + { + "epoch": 0.57, + "learning_rate": 2.050009460119707e-05, + "loss": 4.0093, + "step": 4460 + }, + { + "epoch": 0.57, + "learning_rate": 2.048989872996263e-05, + "loss": 4.0181, + "step": 4461 + }, + { + "epoch": 0.57, + "learning_rate": 2.0479703634066873e-05, + "loss": 3.8442, + "step": 4462 + }, + { + "epoch": 0.57, + "learning_rate": 2.0469509315262474e-05, + "loss": 3.9161, + "step": 4463 + }, + { + "epoch": 0.57, + "learning_rate": 2.0459315775301945e-05, + "loss": 4.0142, + "step": 4464 + }, + { + "epoch": 0.57, + "learning_rate": 2.044912301593767e-05, + "loss": 3.968, + "step": 4465 + }, + { + "epoch": 0.57, + "learning_rate": 2.0438931038921913e-05, + "loss": 3.9033, + "step": 4466 + }, + { + "epoch": 0.57, + "learning_rate": 2.0428739846006784e-05, + "loss": 4.0225, + "step": 4467 + }, + { + "epoch": 0.57, + "learning_rate": 2.0418549438944262e-05, + "loss": 3.9958, + "step": 4468 + }, + { + "epoch": 0.57, + "learning_rate": 2.0408359819486206e-05, + "loss": 3.9488, + "step": 4469 + }, + { + "epoch": 0.57, + "learning_rate": 2.0398170989384334e-05, + "loss": 3.7981, + "step": 4470 + }, + { + "epoch": 0.57, + "learning_rate": 2.038798295039022e-05, + "loss": 3.808, + "step": 4471 + }, + { + "epoch": 0.57, + "learning_rate": 2.03777957042553e-05, + "loss": 3.7752, + "step": 4472 + }, + { + "epoch": 0.57, + "learning_rate": 2.0367609252730887e-05, + "loss": 4.1694, + "step": 4473 + }, + { + "epoch": 0.57, + "learning_rate": 2.0357423597568147e-05, + "loss": 3.8985, + "step": 4474 + }, + { + "epoch": 0.57, + "learning_rate": 2.0347238740518108e-05, + "loss": 3.9175, + "step": 4475 + }, + { + "epoch": 0.57, + "learning_rate": 2.0337054683331673e-05, + "loss": 3.8951, + "step": 4476 + }, + { + "epoch": 0.57, + "learning_rate": 2.0326871427759584e-05, + "loss": 3.8908, + "step": 4477 + }, + { + "epoch": 0.57, + "learning_rate": 2.0316688975552482e-05, + "loss": 3.9177, + "step": 4478 + }, + { + "epoch": 0.57, + "learning_rate": 2.030650732846084e-05, + "loss": 3.8559, + "step": 4479 + }, + { + "epoch": 0.57, + "learning_rate": 2.0296326488234997e-05, + "loss": 3.8634, + "step": 4480 + }, + { + "epoch": 0.57, + "learning_rate": 2.028614645662516e-05, + "loss": 3.9557, + "step": 4481 + }, + { + "epoch": 0.57, + "learning_rate": 2.02759672353814e-05, + "loss": 3.9993, + "step": 4482 + }, + { + "epoch": 0.57, + "learning_rate": 2.026578882625363e-05, + "loss": 4.0066, + "step": 4483 + }, + { + "epoch": 0.57, + "learning_rate": 2.025561123099165e-05, + "loss": 3.9122, + "step": 4484 + }, + { + "epoch": 0.57, + "learning_rate": 2.02454344513451e-05, + "loss": 3.9585, + "step": 4485 + }, + { + "epoch": 0.57, + "learning_rate": 2.0235258489063486e-05, + "loss": 3.9934, + "step": 4486 + }, + { + "epoch": 0.57, + "learning_rate": 2.0225083345896164e-05, + "loss": 3.9515, + "step": 4487 + }, + { + "epoch": 0.57, + "learning_rate": 2.0214909023592388e-05, + "loss": 3.9298, + "step": 4488 + }, + { + "epoch": 0.57, + "learning_rate": 2.020473552390122e-05, + "loss": 3.976, + "step": 4489 + }, + { + "epoch": 0.57, + "learning_rate": 2.0194562848571604e-05, + "loss": 3.9798, + "step": 4490 + }, + { + "epoch": 0.57, + "learning_rate": 2.0184390999352347e-05, + "loss": 3.9296, + "step": 4491 + }, + { + "epoch": 0.57, + "learning_rate": 2.0174219977992104e-05, + "loss": 3.9957, + "step": 4492 + }, + { + "epoch": 0.58, + "learning_rate": 2.0164049786239386e-05, + "loss": 3.898, + "step": 4493 + }, + { + "epoch": 0.58, + "learning_rate": 2.015388042584258e-05, + "loss": 3.8254, + "step": 4494 + }, + { + "epoch": 0.58, + "learning_rate": 2.014371189854991e-05, + "loss": 3.9717, + "step": 4495 + }, + { + "epoch": 0.58, + "learning_rate": 2.0133544206109452e-05, + "loss": 3.8348, + "step": 4496 + }, + { + "epoch": 0.58, + "learning_rate": 2.0123377350269176e-05, + "loss": 3.9874, + "step": 4497 + }, + { + "epoch": 0.58, + "learning_rate": 2.011321133277686e-05, + "loss": 4.0893, + "step": 4498 + }, + { + "epoch": 0.58, + "learning_rate": 2.0103046155380174e-05, + "loss": 4.0134, + "step": 4499 + }, + { + "epoch": 0.58, + "learning_rate": 2.0092881819826622e-05, + "loss": 3.7738, + "step": 4500 + }, + { + "epoch": 0.58, + "learning_rate": 2.008271832786357e-05, + "loss": 3.9622, + "step": 4501 + }, + { + "epoch": 0.58, + "learning_rate": 2.007255568123825e-05, + "loss": 3.9741, + "step": 4502 + }, + { + "epoch": 0.58, + "learning_rate": 2.0062393881697734e-05, + "loss": 4.001, + "step": 4503 + }, + { + "epoch": 0.58, + "learning_rate": 2.005223293098894e-05, + "loss": 4.0855, + "step": 4504 + }, + { + "epoch": 0.58, + "learning_rate": 2.0042072830858663e-05, + "loss": 4.0635, + "step": 4505 + }, + { + "epoch": 0.58, + "learning_rate": 2.0031913583053553e-05, + "loss": 4.0466, + "step": 4506 + }, + { + "epoch": 0.58, + "learning_rate": 2.0021755189320096e-05, + "loss": 4.0468, + "step": 4507 + }, + { + "epoch": 0.58, + "learning_rate": 2.0011597651404625e-05, + "loss": 3.9249, + "step": 4508 + }, + { + "epoch": 0.58, + "learning_rate": 2.0001440971053357e-05, + "loss": 3.887, + "step": 4509 + }, + { + "epoch": 0.58, + "learning_rate": 1.9991285150012332e-05, + "loss": 3.956, + "step": 4510 + }, + { + "epoch": 0.58, + "learning_rate": 1.9981130190027454e-05, + "loss": 3.9949, + "step": 4511 + }, + { + "epoch": 0.58, + "learning_rate": 1.997097609284448e-05, + "loss": 3.8742, + "step": 4512 + }, + { + "epoch": 0.58, + "learning_rate": 1.9960822860209023e-05, + "loss": 4.0408, + "step": 4513 + }, + { + "epoch": 0.58, + "learning_rate": 1.995067049386652e-05, + "loss": 4.0993, + "step": 4514 + }, + { + "epoch": 0.58, + "learning_rate": 1.9940518995562308e-05, + "loss": 4.0266, + "step": 4515 + }, + { + "epoch": 0.58, + "learning_rate": 1.9930368367041528e-05, + "loss": 4.0296, + "step": 4516 + }, + { + "epoch": 0.58, + "learning_rate": 1.9920218610049207e-05, + "loss": 3.9152, + "step": 4517 + }, + { + "epoch": 0.58, + "learning_rate": 1.9910069726330196e-05, + "loss": 4.0394, + "step": 4518 + }, + { + "epoch": 0.58, + "learning_rate": 1.98999217176292e-05, + "loss": 3.9036, + "step": 4519 + }, + { + "epoch": 0.58, + "learning_rate": 1.9889774585690794e-05, + "loss": 3.9307, + "step": 4520 + }, + { + "epoch": 0.58, + "learning_rate": 1.9879628332259375e-05, + "loss": 3.8578, + "step": 4521 + }, + { + "epoch": 0.58, + "learning_rate": 1.9869482959079205e-05, + "loss": 3.9443, + "step": 4522 + }, + { + "epoch": 0.58, + "learning_rate": 1.9859338467894395e-05, + "loss": 3.9264, + "step": 4523 + }, + { + "epoch": 0.58, + "learning_rate": 1.984919486044889e-05, + "loss": 3.9566, + "step": 4524 + }, + { + "epoch": 0.58, + "learning_rate": 1.983905213848651e-05, + "loss": 4.0179, + "step": 4525 + }, + { + "epoch": 0.58, + "learning_rate": 1.982891030375089e-05, + "loss": 3.8757, + "step": 4526 + }, + { + "epoch": 0.58, + "learning_rate": 1.981876935798555e-05, + "loss": 3.8098, + "step": 4527 + }, + { + "epoch": 0.58, + "learning_rate": 1.9808629302933817e-05, + "loss": 4.0537, + "step": 4528 + }, + { + "epoch": 0.58, + "learning_rate": 1.9798490140338888e-05, + "loss": 3.9578, + "step": 4529 + }, + { + "epoch": 0.58, + "learning_rate": 1.978835187194381e-05, + "loss": 4.0504, + "step": 4530 + }, + { + "epoch": 0.58, + "learning_rate": 1.977821449949146e-05, + "loss": 3.8667, + "step": 4531 + }, + { + "epoch": 0.58, + "learning_rate": 1.9768078024724578e-05, + "loss": 3.87, + "step": 4532 + }, + { + "epoch": 0.58, + "learning_rate": 1.9757942449385725e-05, + "loss": 4.1375, + "step": 4533 + }, + { + "epoch": 0.58, + "learning_rate": 1.9747807775217344e-05, + "loss": 3.9788, + "step": 4534 + }, + { + "epoch": 0.58, + "learning_rate": 1.97376740039617e-05, + "loss": 4.0989, + "step": 4535 + }, + { + "epoch": 0.58, + "learning_rate": 1.97275411373609e-05, + "loss": 3.8735, + "step": 4536 + }, + { + "epoch": 0.58, + "learning_rate": 1.9717409177156897e-05, + "loss": 3.8719, + "step": 4537 + }, + { + "epoch": 0.58, + "learning_rate": 1.97072781250915e-05, + "loss": 3.8872, + "step": 4538 + }, + { + "epoch": 0.58, + "learning_rate": 1.9697147982906356e-05, + "loss": 3.9789, + "step": 4539 + }, + { + "epoch": 0.58, + "learning_rate": 1.968701875234294e-05, + "loss": 3.7668, + "step": 4540 + }, + { + "epoch": 0.58, + "learning_rate": 1.9676890435142605e-05, + "loss": 3.909, + "step": 4541 + }, + { + "epoch": 0.58, + "learning_rate": 1.9666763033046497e-05, + "loss": 3.9915, + "step": 4542 + }, + { + "epoch": 0.58, + "learning_rate": 1.9656636547795664e-05, + "loss": 3.8796, + "step": 4543 + }, + { + "epoch": 0.58, + "learning_rate": 1.9646510981130954e-05, + "loss": 3.8841, + "step": 4544 + }, + { + "epoch": 0.58, + "learning_rate": 1.963638633479307e-05, + "loss": 3.9517, + "step": 4545 + }, + { + "epoch": 0.58, + "learning_rate": 1.962626261052256e-05, + "loss": 3.8061, + "step": 4546 + }, + { + "epoch": 0.58, + "learning_rate": 1.9616139810059793e-05, + "loss": 3.9703, + "step": 4547 + }, + { + "epoch": 0.58, + "learning_rate": 1.960601793514502e-05, + "loss": 3.8546, + "step": 4548 + }, + { + "epoch": 0.58, + "learning_rate": 1.959589698751829e-05, + "loss": 4.0902, + "step": 4549 + }, + { + "epoch": 0.58, + "learning_rate": 1.9585776968919517e-05, + "loss": 3.8901, + "step": 4550 + }, + { + "epoch": 0.58, + "learning_rate": 1.957565788108844e-05, + "loss": 3.862, + "step": 4551 + }, + { + "epoch": 0.58, + "learning_rate": 1.9565539725764674e-05, + "loss": 3.926, + "step": 4552 + }, + { + "epoch": 0.58, + "learning_rate": 1.9555422504687627e-05, + "loss": 3.8508, + "step": 4553 + }, + { + "epoch": 0.58, + "learning_rate": 1.9545306219596565e-05, + "loss": 3.8877, + "step": 4554 + }, + { + "epoch": 0.58, + "learning_rate": 1.9535190872230607e-05, + "loss": 3.8786, + "step": 4555 + }, + { + "epoch": 0.58, + "learning_rate": 1.952507646432869e-05, + "loss": 4.0246, + "step": 4556 + }, + { + "epoch": 0.58, + "learning_rate": 1.9514962997629603e-05, + "loss": 3.8856, + "step": 4557 + }, + { + "epoch": 0.58, + "learning_rate": 1.9504850473871956e-05, + "loss": 3.9017, + "step": 4558 + }, + { + "epoch": 0.58, + "learning_rate": 1.9494738894794224e-05, + "loss": 3.9734, + "step": 4559 + }, + { + "epoch": 0.58, + "learning_rate": 1.9484628262134698e-05, + "loss": 3.9626, + "step": 4560 + }, + { + "epoch": 0.58, + "learning_rate": 1.9474518577631503e-05, + "loss": 3.7846, + "step": 4561 + }, + { + "epoch": 0.58, + "learning_rate": 1.9464409843022627e-05, + "loss": 3.8703, + "step": 4562 + }, + { + "epoch": 0.58, + "learning_rate": 1.9454302060045878e-05, + "loss": 3.867, + "step": 4563 + }, + { + "epoch": 0.58, + "learning_rate": 1.9444195230438897e-05, + "loss": 3.9679, + "step": 4564 + }, + { + "epoch": 0.58, + "learning_rate": 1.943408935593916e-05, + "loss": 3.9361, + "step": 4565 + }, + { + "epoch": 0.58, + "learning_rate": 1.942398443828399e-05, + "loss": 3.8744, + "step": 4566 + }, + { + "epoch": 0.58, + "learning_rate": 1.941388047921054e-05, + "loss": 3.9333, + "step": 4567 + }, + { + "epoch": 0.58, + "learning_rate": 1.940377748045579e-05, + "loss": 3.9299, + "step": 4568 + }, + { + "epoch": 0.58, + "learning_rate": 1.9393675443756572e-05, + "loss": 4.0104, + "step": 4569 + }, + { + "epoch": 0.58, + "learning_rate": 1.9383574370849534e-05, + "loss": 3.9781, + "step": 4570 + }, + { + "epoch": 0.59, + "learning_rate": 1.937347426347118e-05, + "loss": 3.9062, + "step": 4571 + }, + { + "epoch": 0.59, + "learning_rate": 1.936337512335782e-05, + "loss": 3.9008, + "step": 4572 + }, + { + "epoch": 0.59, + "learning_rate": 1.935327695224563e-05, + "loss": 3.9913, + "step": 4573 + }, + { + "epoch": 0.59, + "learning_rate": 1.9343179751870595e-05, + "loss": 3.8203, + "step": 4574 + }, + { + "epoch": 0.59, + "learning_rate": 1.9333083523968533e-05, + "loss": 3.9042, + "step": 4575 + }, + { + "epoch": 0.59, + "learning_rate": 1.9322988270275117e-05, + "loss": 3.8319, + "step": 4576 + }, + { + "epoch": 0.59, + "learning_rate": 1.931289399252583e-05, + "loss": 4.0111, + "step": 4577 + }, + { + "epoch": 0.59, + "learning_rate": 1.9302800692455995e-05, + "loss": 3.9161, + "step": 4578 + }, + { + "epoch": 0.59, + "learning_rate": 1.929270837180076e-05, + "loss": 3.9546, + "step": 4579 + }, + { + "epoch": 0.59, + "learning_rate": 1.9282617032295124e-05, + "loss": 3.8839, + "step": 4580 + }, + { + "epoch": 0.59, + "learning_rate": 1.9272526675673906e-05, + "loss": 3.815, + "step": 4581 + }, + { + "epoch": 0.59, + "learning_rate": 1.9262437303671755e-05, + "loss": 3.9892, + "step": 4582 + }, + { + "epoch": 0.59, + "learning_rate": 1.9252348918023138e-05, + "loss": 3.8864, + "step": 4583 + }, + { + "epoch": 0.59, + "learning_rate": 1.9242261520462383e-05, + "loss": 3.8692, + "step": 4584 + }, + { + "epoch": 0.59, + "learning_rate": 1.923217511272362e-05, + "loss": 3.922, + "step": 4585 + }, + { + "epoch": 0.59, + "learning_rate": 1.9222089696540817e-05, + "loss": 3.9166, + "step": 4586 + }, + { + "epoch": 0.59, + "learning_rate": 1.9212005273647782e-05, + "loss": 3.9846, + "step": 4587 + }, + { + "epoch": 0.59, + "learning_rate": 1.9201921845778133e-05, + "loss": 3.7772, + "step": 4588 + }, + { + "epoch": 0.59, + "learning_rate": 1.919183941466534e-05, + "loss": 3.9086, + "step": 4589 + }, + { + "epoch": 0.59, + "learning_rate": 1.9181757982042686e-05, + "loss": 3.8719, + "step": 4590 + }, + { + "epoch": 0.59, + "learning_rate": 1.917167754964329e-05, + "loss": 3.8975, + "step": 4591 + }, + { + "epoch": 0.59, + "learning_rate": 1.916159811920009e-05, + "loss": 3.9227, + "step": 4592 + }, + { + "epoch": 0.59, + "learning_rate": 1.9151519692445856e-05, + "loss": 3.9547, + "step": 4593 + }, + { + "epoch": 0.59, + "learning_rate": 1.914144227111319e-05, + "loss": 3.8209, + "step": 4594 + }, + { + "epoch": 0.59, + "learning_rate": 1.9131365856934517e-05, + "loss": 3.896, + "step": 4595 + }, + { + "epoch": 0.59, + "learning_rate": 1.912129045164209e-05, + "loss": 4.0087, + "step": 4596 + }, + { + "epoch": 0.59, + "learning_rate": 1.9111216056967978e-05, + "loss": 3.8478, + "step": 4597 + }, + { + "epoch": 0.59, + "learning_rate": 1.910114267464409e-05, + "loss": 3.9422, + "step": 4598 + }, + { + "epoch": 0.59, + "learning_rate": 1.9091070306402177e-05, + "loss": 3.9157, + "step": 4599 + }, + { + "epoch": 0.59, + "learning_rate": 1.908099895397377e-05, + "loss": 3.948, + "step": 4600 + }, + { + "epoch": 0.59, + "learning_rate": 1.9070928619090266e-05, + "loss": 3.9754, + "step": 4601 + }, + { + "epoch": 0.59, + "learning_rate": 1.906085930348287e-05, + "loss": 4.0505, + "step": 4602 + }, + { + "epoch": 0.59, + "learning_rate": 1.9050791008882614e-05, + "loss": 3.7259, + "step": 4603 + }, + { + "epoch": 0.59, + "learning_rate": 1.9040723737020344e-05, + "loss": 3.8343, + "step": 4604 + }, + { + "epoch": 0.59, + "learning_rate": 1.9030657489626754e-05, + "loss": 3.8886, + "step": 4605 + }, + { + "epoch": 0.59, + "learning_rate": 1.9020592268432348e-05, + "loss": 3.9061, + "step": 4606 + }, + { + "epoch": 0.59, + "learning_rate": 1.901052807516744e-05, + "loss": 4.1424, + "step": 4607 + }, + { + "epoch": 0.59, + "learning_rate": 1.9000464911562194e-05, + "loss": 3.9369, + "step": 4608 + }, + { + "epoch": 0.59, + "learning_rate": 1.8990402779346588e-05, + "loss": 3.797, + "step": 4609 + }, + { + "epoch": 0.59, + "learning_rate": 1.8980341680250412e-05, + "loss": 3.9148, + "step": 4610 + }, + { + "epoch": 0.59, + "learning_rate": 1.8970281616003286e-05, + "loss": 3.9687, + "step": 4611 + }, + { + "epoch": 0.59, + "learning_rate": 1.8960222588334657e-05, + "loss": 3.8824, + "step": 4612 + }, + { + "epoch": 0.59, + "learning_rate": 1.8950164598973784e-05, + "loss": 3.9047, + "step": 4613 + }, + { + "epoch": 0.59, + "learning_rate": 1.8940107649649745e-05, + "loss": 3.9631, + "step": 4614 + }, + { + "epoch": 0.59, + "learning_rate": 1.893005174209146e-05, + "loss": 3.9779, + "step": 4615 + }, + { + "epoch": 0.59, + "learning_rate": 1.8919996878027635e-05, + "loss": 3.8841, + "step": 4616 + }, + { + "epoch": 0.59, + "learning_rate": 1.8909943059186845e-05, + "loss": 4.123, + "step": 4617 + }, + { + "epoch": 0.59, + "learning_rate": 1.889989028729745e-05, + "loss": 4.1131, + "step": 4618 + }, + { + "epoch": 0.59, + "learning_rate": 1.8889838564087623e-05, + "loss": 3.9837, + "step": 4619 + }, + { + "epoch": 0.59, + "learning_rate": 1.887978789128539e-05, + "loss": 3.9166, + "step": 4620 + }, + { + "epoch": 0.59, + "learning_rate": 1.8869738270618567e-05, + "loss": 3.871, + "step": 4621 + }, + { + "epoch": 0.59, + "learning_rate": 1.88596897038148e-05, + "loss": 3.9639, + "step": 4622 + }, + { + "epoch": 0.59, + "learning_rate": 1.884964219260156e-05, + "loss": 4.0115, + "step": 4623 + }, + { + "epoch": 0.59, + "learning_rate": 1.8839595738706132e-05, + "loss": 4.0869, + "step": 4624 + }, + { + "epoch": 0.59, + "learning_rate": 1.88295503438556e-05, + "loss": 3.8815, + "step": 4625 + }, + { + "epoch": 0.59, + "learning_rate": 1.8819506009776906e-05, + "loss": 3.8152, + "step": 4626 + }, + { + "epoch": 0.59, + "learning_rate": 1.8809462738196785e-05, + "loss": 3.9796, + "step": 4627 + }, + { + "epoch": 0.59, + "learning_rate": 1.8799420530841782e-05, + "loss": 4.0295, + "step": 4628 + }, + { + "epoch": 0.59, + "learning_rate": 1.878937938943827e-05, + "loss": 3.8983, + "step": 4629 + }, + { + "epoch": 0.59, + "learning_rate": 1.877933931571245e-05, + "loss": 3.9543, + "step": 4630 + }, + { + "epoch": 0.59, + "learning_rate": 1.8769300311390314e-05, + "loss": 3.959, + "step": 4631 + }, + { + "epoch": 0.59, + "learning_rate": 1.875926237819768e-05, + "loss": 3.9658, + "step": 4632 + }, + { + "epoch": 0.59, + "learning_rate": 1.87492255178602e-05, + "loss": 4.0421, + "step": 4633 + }, + { + "epoch": 0.59, + "learning_rate": 1.8739189732103317e-05, + "loss": 3.8923, + "step": 4634 + }, + { + "epoch": 0.59, + "learning_rate": 1.872915502265229e-05, + "loss": 4.0645, + "step": 4635 + }, + { + "epoch": 0.59, + "learning_rate": 1.8719121391232225e-05, + "loss": 3.9024, + "step": 4636 + }, + { + "epoch": 0.59, + "learning_rate": 1.8709088839568003e-05, + "loss": 3.8248, + "step": 4637 + }, + { + "epoch": 0.59, + "learning_rate": 1.8699057369384344e-05, + "loss": 3.8516, + "step": 4638 + }, + { + "epoch": 0.59, + "learning_rate": 1.8689026982405768e-05, + "loss": 4.0293, + "step": 4639 + }, + { + "epoch": 0.59, + "learning_rate": 1.867899768035661e-05, + "loss": 3.8921, + "step": 4640 + }, + { + "epoch": 0.59, + "learning_rate": 1.866896946496104e-05, + "loss": 3.746, + "step": 4641 + }, + { + "epoch": 0.59, + "learning_rate": 1.8658942337943012e-05, + "loss": 3.8812, + "step": 4642 + }, + { + "epoch": 0.59, + "learning_rate": 1.8648916301026305e-05, + "loss": 3.8712, + "step": 4643 + }, + { + "epoch": 0.59, + "learning_rate": 1.8638891355934504e-05, + "loss": 3.8615, + "step": 4644 + }, + { + "epoch": 0.59, + "learning_rate": 1.8628867504391037e-05, + "loss": 3.8757, + "step": 4645 + }, + { + "epoch": 0.59, + "learning_rate": 1.861884474811911e-05, + "loss": 4.0001, + "step": 4646 + }, + { + "epoch": 0.59, + "learning_rate": 1.8608823088841735e-05, + "loss": 3.9694, + "step": 4647 + }, + { + "epoch": 0.59, + "learning_rate": 1.8598802528281772e-05, + "loss": 4.0424, + "step": 4648 + }, + { + "epoch": 0.6, + "learning_rate": 1.8588783068161864e-05, + "loss": 3.8843, + "step": 4649 + }, + { + "epoch": 0.6, + "learning_rate": 1.8578764710204465e-05, + "loss": 4.0264, + "step": 4650 + }, + { + "epoch": 0.6, + "learning_rate": 1.856874745613186e-05, + "loss": 3.9476, + "step": 4651 + }, + { + "epoch": 0.6, + "learning_rate": 1.8558731307666128e-05, + "loss": 3.9448, + "step": 4652 + }, + { + "epoch": 0.6, + "learning_rate": 1.8548716266529143e-05, + "loss": 3.8113, + "step": 4653 + }, + { + "epoch": 0.6, + "learning_rate": 1.8538702334442633e-05, + "loss": 3.8664, + "step": 4654 + }, + { + "epoch": 0.6, + "learning_rate": 1.852868951312809e-05, + "loss": 3.936, + "step": 4655 + }, + { + "epoch": 0.6, + "learning_rate": 1.851867780430685e-05, + "loss": 3.9653, + "step": 4656 + }, + { + "epoch": 0.6, + "learning_rate": 1.8508667209700036e-05, + "loss": 3.9573, + "step": 4657 + }, + { + "epoch": 0.6, + "learning_rate": 1.8498657731028575e-05, + "loss": 3.8851, + "step": 4658 + }, + { + "epoch": 0.6, + "learning_rate": 1.8488649370013223e-05, + "loss": 3.9834, + "step": 4659 + }, + { + "epoch": 0.6, + "learning_rate": 1.847864212837453e-05, + "loss": 3.7683, + "step": 4660 + }, + { + "epoch": 0.6, + "learning_rate": 1.8468636007832856e-05, + "loss": 3.7837, + "step": 4661 + }, + { + "epoch": 0.6, + "learning_rate": 1.8458631010108364e-05, + "loss": 3.8846, + "step": 4662 + }, + { + "epoch": 0.6, + "learning_rate": 1.844862713692104e-05, + "loss": 3.933, + "step": 4663 + }, + { + "epoch": 0.6, + "learning_rate": 1.8438624389990668e-05, + "loss": 3.963, + "step": 4664 + }, + { + "epoch": 0.6, + "learning_rate": 1.8428622771036825e-05, + "loss": 3.9151, + "step": 4665 + }, + { + "epoch": 0.6, + "learning_rate": 1.8418622281778907e-05, + "loss": 3.8744, + "step": 4666 + }, + { + "epoch": 0.6, + "learning_rate": 1.8408622923936124e-05, + "loss": 3.8621, + "step": 4667 + }, + { + "epoch": 0.6, + "learning_rate": 1.839862469922747e-05, + "loss": 3.9401, + "step": 4668 + }, + { + "epoch": 0.6, + "learning_rate": 1.8388627609371758e-05, + "loss": 4.0522, + "step": 4669 + }, + { + "epoch": 0.6, + "learning_rate": 1.837863165608761e-05, + "loss": 3.8899, + "step": 4670 + }, + { + "epoch": 0.6, + "learning_rate": 1.8368636841093434e-05, + "loss": 3.9644, + "step": 4671 + }, + { + "epoch": 0.6, + "learning_rate": 1.8358643166107466e-05, + "loss": 3.9898, + "step": 4672 + }, + { + "epoch": 0.6, + "learning_rate": 1.8348650632847726e-05, + "loss": 3.8235, + "step": 4673 + }, + { + "epoch": 0.6, + "learning_rate": 1.8338659243032064e-05, + "loss": 3.9206, + "step": 4674 + }, + { + "epoch": 0.6, + "learning_rate": 1.8328668998378096e-05, + "loss": 3.9446, + "step": 4675 + }, + { + "epoch": 0.6, + "learning_rate": 1.8318679900603265e-05, + "loss": 4.1351, + "step": 4676 + }, + { + "epoch": 0.6, + "learning_rate": 1.8308691951424823e-05, + "loss": 3.8922, + "step": 4677 + }, + { + "epoch": 0.6, + "learning_rate": 1.8298705152559804e-05, + "loss": 3.9134, + "step": 4678 + }, + { + "epoch": 0.6, + "learning_rate": 1.8288719505725055e-05, + "loss": 3.9663, + "step": 4679 + }, + { + "epoch": 0.6, + "learning_rate": 1.8278735012637228e-05, + "loss": 3.8708, + "step": 4680 + }, + { + "epoch": 0.6, + "learning_rate": 1.8268751675012763e-05, + "loss": 4.0239, + "step": 4681 + }, + { + "epoch": 0.6, + "learning_rate": 1.8258769494567932e-05, + "loss": 3.976, + "step": 4682 + }, + { + "epoch": 0.6, + "learning_rate": 1.8248788473018767e-05, + "loss": 4.0011, + "step": 4683 + }, + { + "epoch": 0.6, + "learning_rate": 1.8238808612081143e-05, + "loss": 4.1366, + "step": 4684 + }, + { + "epoch": 0.6, + "learning_rate": 1.8228829913470695e-05, + "loss": 3.9416, + "step": 4685 + }, + { + "epoch": 0.6, + "learning_rate": 1.8218852378902877e-05, + "loss": 3.9974, + "step": 4686 + }, + { + "epoch": 0.6, + "learning_rate": 1.820887601009296e-05, + "loss": 3.8761, + "step": 4687 + }, + { + "epoch": 0.6, + "learning_rate": 1.8198900808755982e-05, + "loss": 3.937, + "step": 4688 + }, + { + "epoch": 0.6, + "learning_rate": 1.8188926776606795e-05, + "loss": 3.9522, + "step": 4689 + }, + { + "epoch": 0.6, + "learning_rate": 1.8178953915360057e-05, + "loss": 3.9556, + "step": 4690 + }, + { + "epoch": 0.6, + "learning_rate": 1.8168982226730217e-05, + "loss": 3.8226, + "step": 4691 + }, + { + "epoch": 0.6, + "learning_rate": 1.8159011712431528e-05, + "loss": 3.9493, + "step": 4692 + }, + { + "epoch": 0.6, + "learning_rate": 1.8149042374178038e-05, + "loss": 3.8221, + "step": 4693 + }, + { + "epoch": 0.6, + "learning_rate": 1.8139074213683576e-05, + "loss": 3.8827, + "step": 4694 + }, + { + "epoch": 0.6, + "learning_rate": 1.8129107232661802e-05, + "loss": 3.8965, + "step": 4695 + }, + { + "epoch": 0.6, + "learning_rate": 1.811914143282615e-05, + "loss": 4.0758, + "step": 4696 + }, + { + "epoch": 0.6, + "learning_rate": 1.810917681588985e-05, + "loss": 4.0738, + "step": 4697 + }, + { + "epoch": 0.6, + "learning_rate": 1.8099213383565948e-05, + "loss": 3.9458, + "step": 4698 + }, + { + "epoch": 0.6, + "learning_rate": 1.8089251137567254e-05, + "loss": 3.898, + "step": 4699 + }, + { + "epoch": 0.6, + "learning_rate": 1.8079290079606414e-05, + "loss": 3.9026, + "step": 4700 + }, + { + "epoch": 0.6, + "learning_rate": 1.8069330211395834e-05, + "loss": 3.8492, + "step": 4701 + }, + { + "epoch": 0.6, + "learning_rate": 1.805937153464775e-05, + "loss": 4.019, + "step": 4702 + }, + { + "epoch": 0.6, + "learning_rate": 1.804941405107416e-05, + "loss": 3.9935, + "step": 4703 + }, + { + "epoch": 0.6, + "learning_rate": 1.8039457762386863e-05, + "loss": 3.952, + "step": 4704 + }, + { + "epoch": 0.6, + "learning_rate": 1.802950267029748e-05, + "loss": 4.0004, + "step": 4705 + }, + { + "epoch": 0.6, + "learning_rate": 1.8019548776517394e-05, + "loss": 3.8447, + "step": 4706 + }, + { + "epoch": 0.6, + "learning_rate": 1.8009596082757796e-05, + "loss": 3.8294, + "step": 4707 + }, + { + "epoch": 0.6, + "learning_rate": 1.799964459072967e-05, + "loss": 3.977, + "step": 4708 + }, + { + "epoch": 0.6, + "learning_rate": 1.798969430214379e-05, + "loss": 3.871, + "step": 4709 + }, + { + "epoch": 0.6, + "learning_rate": 1.7979745218710737e-05, + "loss": 3.8567, + "step": 4710 + }, + { + "epoch": 0.6, + "learning_rate": 1.7969797342140867e-05, + "loss": 3.8375, + "step": 4711 + }, + { + "epoch": 0.6, + "learning_rate": 1.795985067414433e-05, + "loss": 3.9627, + "step": 4712 + }, + { + "epoch": 0.6, + "learning_rate": 1.7949905216431083e-05, + "loss": 3.8974, + "step": 4713 + }, + { + "epoch": 0.6, + "learning_rate": 1.7939960970710865e-05, + "loss": 3.9597, + "step": 4714 + }, + { + "epoch": 0.6, + "learning_rate": 1.7930017938693194e-05, + "loss": 4.0264, + "step": 4715 + }, + { + "epoch": 0.6, + "learning_rate": 1.7920076122087408e-05, + "loss": 3.9527, + "step": 4716 + }, + { + "epoch": 0.6, + "learning_rate": 1.7910135522602614e-05, + "loss": 4.0951, + "step": 4717 + }, + { + "epoch": 0.6, + "learning_rate": 1.7900196141947707e-05, + "loss": 3.9099, + "step": 4718 + }, + { + "epoch": 0.6, + "learning_rate": 1.7890257981831393e-05, + "loss": 3.7998, + "step": 4719 + }, + { + "epoch": 0.6, + "learning_rate": 1.7880321043962165e-05, + "loss": 4.0295, + "step": 4720 + }, + { + "epoch": 0.6, + "learning_rate": 1.7870385330048285e-05, + "loss": 3.9278, + "step": 4721 + }, + { + "epoch": 0.6, + "learning_rate": 1.7860450841797815e-05, + "loss": 3.848, + "step": 4722 + }, + { + "epoch": 0.6, + "learning_rate": 1.785051758091862e-05, + "loss": 3.9205, + "step": 4723 + }, + { + "epoch": 0.6, + "learning_rate": 1.784058554911834e-05, + "loss": 3.9675, + "step": 4724 + }, + { + "epoch": 0.6, + "learning_rate": 1.783065474810439e-05, + "loss": 3.8421, + "step": 4725 + }, + { + "epoch": 0.6, + "learning_rate": 1.7820725179584014e-05, + "loss": 4.0603, + "step": 4726 + }, + { + "epoch": 0.61, + "learning_rate": 1.7810796845264198e-05, + "loss": 4.0378, + "step": 4727 + }, + { + "epoch": 0.61, + "learning_rate": 1.7800869746851758e-05, + "loss": 3.9366, + "step": 4728 + }, + { + "epoch": 0.61, + "learning_rate": 1.779094388605327e-05, + "loss": 4.014, + "step": 4729 + }, + { + "epoch": 0.61, + "learning_rate": 1.7781019264575095e-05, + "loss": 3.9384, + "step": 4730 + }, + { + "epoch": 0.61, + "learning_rate": 1.7771095884123405e-05, + "loss": 3.9612, + "step": 4731 + }, + { + "epoch": 0.61, + "learning_rate": 1.7761173746404137e-05, + "loss": 3.7616, + "step": 4732 + }, + { + "epoch": 0.61, + "learning_rate": 1.7751252853123012e-05, + "loss": 3.9326, + "step": 4733 + }, + { + "epoch": 0.61, + "learning_rate": 1.7741333205985568e-05, + "loss": 3.8256, + "step": 4734 + }, + { + "epoch": 0.61, + "learning_rate": 1.7731414806697092e-05, + "loss": 3.8347, + "step": 4735 + }, + { + "epoch": 0.61, + "learning_rate": 1.7721497656962665e-05, + "loss": 3.9804, + "step": 4736 + }, + { + "epoch": 0.61, + "learning_rate": 1.771158175848718e-05, + "loss": 3.9694, + "step": 4737 + }, + { + "epoch": 0.61, + "learning_rate": 1.7701667112975283e-05, + "loss": 3.8669, + "step": 4738 + }, + { + "epoch": 0.61, + "learning_rate": 1.7691753722131424e-05, + "loss": 3.9251, + "step": 4739 + }, + { + "epoch": 0.61, + "learning_rate": 1.7681841587659817e-05, + "loss": 3.9077, + "step": 4740 + }, + { + "epoch": 0.61, + "learning_rate": 1.7671930711264487e-05, + "loss": 3.8583, + "step": 4741 + }, + { + "epoch": 0.61, + "learning_rate": 1.7662021094649222e-05, + "loss": 3.9479, + "step": 4742 + }, + { + "epoch": 0.61, + "learning_rate": 1.7652112739517594e-05, + "loss": 3.8793, + "step": 4743 + }, + { + "epoch": 0.61, + "learning_rate": 1.7642205647572977e-05, + "loss": 3.9224, + "step": 4744 + }, + { + "epoch": 0.61, + "learning_rate": 1.7632299820518506e-05, + "loss": 3.9372, + "step": 4745 + }, + { + "epoch": 0.61, + "learning_rate": 1.76223952600571e-05, + "loss": 3.8646, + "step": 4746 + }, + { + "epoch": 0.61, + "learning_rate": 1.7612491967891487e-05, + "loss": 4.1287, + "step": 4747 + }, + { + "epoch": 0.61, + "learning_rate": 1.7602589945724147e-05, + "loss": 3.9553, + "step": 4748 + }, + { + "epoch": 0.61, + "learning_rate": 1.7592689195257352e-05, + "loss": 3.9124, + "step": 4749 + }, + { + "epoch": 0.61, + "learning_rate": 1.758278971819316e-05, + "loss": 4.0211, + "step": 4750 + }, + { + "epoch": 0.61, + "learning_rate": 1.75728915162334e-05, + "loss": 3.9036, + "step": 4751 + }, + { + "epoch": 0.61, + "learning_rate": 1.7562994591079697e-05, + "loss": 4.0369, + "step": 4752 + }, + { + "epoch": 0.61, + "learning_rate": 1.7553098944433436e-05, + "loss": 3.8986, + "step": 4753 + }, + { + "epoch": 0.61, + "learning_rate": 1.7543204577995794e-05, + "loss": 4.0598, + "step": 4754 + }, + { + "epoch": 0.61, + "learning_rate": 1.753331149346773e-05, + "loss": 3.9661, + "step": 4755 + }, + { + "epoch": 0.61, + "learning_rate": 1.752341969254999e-05, + "loss": 3.8726, + "step": 4756 + }, + { + "epoch": 0.61, + "learning_rate": 1.751352917694308e-05, + "loss": 3.9376, + "step": 4757 + }, + { + "epoch": 0.61, + "learning_rate": 1.750363994834729e-05, + "loss": 3.9893, + "step": 4758 + }, + { + "epoch": 0.61, + "learning_rate": 1.7493752008462703e-05, + "loss": 3.9483, + "step": 4759 + }, + { + "epoch": 0.61, + "learning_rate": 1.748386535898917e-05, + "loss": 4.027, + "step": 4760 + }, + { + "epoch": 0.61, + "learning_rate": 1.7473980001626304e-05, + "loss": 3.9801, + "step": 4761 + }, + { + "epoch": 0.61, + "learning_rate": 1.7464095938073537e-05, + "loss": 3.916, + "step": 4762 + }, + { + "epoch": 0.61, + "learning_rate": 1.7454213170030038e-05, + "loss": 3.8238, + "step": 4763 + }, + { + "epoch": 0.61, + "learning_rate": 1.7444331699194764e-05, + "loss": 3.9602, + "step": 4764 + }, + { + "epoch": 0.61, + "learning_rate": 1.7434451527266466e-05, + "loss": 4.0012, + "step": 4765 + }, + { + "epoch": 0.61, + "learning_rate": 1.7424572655943665e-05, + "loss": 3.8945, + "step": 4766 + }, + { + "epoch": 0.61, + "learning_rate": 1.741469508692465e-05, + "loss": 3.9755, + "step": 4767 + }, + { + "epoch": 0.61, + "learning_rate": 1.7404818821907482e-05, + "loss": 3.7617, + "step": 4768 + }, + { + "epoch": 0.61, + "learning_rate": 1.7394943862590004e-05, + "loss": 4.055, + "step": 4769 + }, + { + "epoch": 0.61, + "learning_rate": 1.738507021066985e-05, + "loss": 3.9066, + "step": 4770 + }, + { + "epoch": 0.61, + "learning_rate": 1.7375197867844402e-05, + "loss": 3.9789, + "step": 4771 + }, + { + "epoch": 0.61, + "learning_rate": 1.7365326835810834e-05, + "loss": 3.9052, + "step": 4772 + }, + { + "epoch": 0.61, + "learning_rate": 1.7355457116266083e-05, + "loss": 3.9818, + "step": 4773 + }, + { + "epoch": 0.61, + "learning_rate": 1.734558871090689e-05, + "loss": 3.8464, + "step": 4774 + }, + { + "epoch": 0.61, + "learning_rate": 1.733572162142973e-05, + "loss": 4.016, + "step": 4775 + }, + { + "epoch": 0.61, + "learning_rate": 1.7325855849530874e-05, + "loss": 3.9327, + "step": 4776 + }, + { + "epoch": 0.61, + "learning_rate": 1.731599139690637e-05, + "loss": 4.0434, + "step": 4777 + }, + { + "epoch": 0.61, + "learning_rate": 1.7306128265252027e-05, + "loss": 3.8978, + "step": 4778 + }, + { + "epoch": 0.61, + "learning_rate": 1.729626645626342e-05, + "loss": 3.8005, + "step": 4779 + }, + { + "epoch": 0.61, + "learning_rate": 1.7286405971635927e-05, + "loss": 3.9281, + "step": 4780 + }, + { + "epoch": 0.61, + "learning_rate": 1.7276546813064672e-05, + "loss": 3.8569, + "step": 4781 + }, + { + "epoch": 0.61, + "learning_rate": 1.726668898224455e-05, + "loss": 3.9725, + "step": 4782 + }, + { + "epoch": 0.61, + "learning_rate": 1.7256832480870238e-05, + "loss": 3.887, + "step": 4783 + }, + { + "epoch": 0.61, + "learning_rate": 1.7246977310636204e-05, + "loss": 3.8391, + "step": 4784 + }, + { + "epoch": 0.61, + "learning_rate": 1.7237123473236645e-05, + "loss": 3.8961, + "step": 4785 + }, + { + "epoch": 0.61, + "learning_rate": 1.7227270970365557e-05, + "loss": 4.0016, + "step": 4786 + }, + { + "epoch": 0.61, + "learning_rate": 1.7217419803716696e-05, + "loss": 3.9683, + "step": 4787 + }, + { + "epoch": 0.61, + "learning_rate": 1.72075699749836e-05, + "loss": 4.0468, + "step": 4788 + }, + { + "epoch": 0.61, + "learning_rate": 1.7197721485859563e-05, + "loss": 4.027, + "step": 4789 + }, + { + "epoch": 0.61, + "learning_rate": 1.7187874338037646e-05, + "loss": 3.9416, + "step": 4790 + }, + { + "epoch": 0.61, + "learning_rate": 1.7178028533210703e-05, + "loss": 3.9607, + "step": 4791 + }, + { + "epoch": 0.61, + "learning_rate": 1.7168184073071326e-05, + "loss": 3.9385, + "step": 4792 + }, + { + "epoch": 0.61, + "learning_rate": 1.7158340959311912e-05, + "loss": 3.7139, + "step": 4793 + }, + { + "epoch": 0.61, + "learning_rate": 1.7148499193624587e-05, + "loss": 3.8442, + "step": 4794 + }, + { + "epoch": 0.61, + "learning_rate": 1.713865877770128e-05, + "loss": 3.8958, + "step": 4795 + }, + { + "epoch": 0.61, + "learning_rate": 1.7128819713233664e-05, + "loss": 3.8861, + "step": 4796 + }, + { + "epoch": 0.61, + "learning_rate": 1.7118982001913187e-05, + "loss": 3.9173, + "step": 4797 + }, + { + "epoch": 0.61, + "learning_rate": 1.7109145645431074e-05, + "loss": 3.9365, + "step": 4798 + }, + { + "epoch": 0.61, + "learning_rate": 1.70993106454783e-05, + "loss": 4.0729, + "step": 4799 + }, + { + "epoch": 0.61, + "learning_rate": 1.7089477003745617e-05, + "loss": 4.0074, + "step": 4800 + }, + { + "epoch": 0.61, + "learning_rate": 1.7079644721923537e-05, + "loss": 3.9951, + "step": 4801 + }, + { + "epoch": 0.61, + "learning_rate": 1.7069813801702362e-05, + "loss": 4.0904, + "step": 4802 + }, + { + "epoch": 0.61, + "learning_rate": 1.7059984244772127e-05, + "loss": 3.9056, + "step": 4803 + }, + { + "epoch": 0.61, + "learning_rate": 1.7050156052822643e-05, + "loss": 3.9198, + "step": 4804 + }, + { + "epoch": 0.62, + "learning_rate": 1.70403292275435e-05, + "loss": 3.9926, + "step": 4805 + }, + { + "epoch": 0.62, + "learning_rate": 1.7030503770624047e-05, + "loss": 3.9377, + "step": 4806 + }, + { + "epoch": 0.62, + "learning_rate": 1.702067968375337e-05, + "loss": 3.8538, + "step": 4807 + }, + { + "epoch": 0.62, + "learning_rate": 1.7010856968620373e-05, + "loss": 4.0444, + "step": 4808 + }, + { + "epoch": 0.62, + "learning_rate": 1.7001035626913676e-05, + "loss": 3.9394, + "step": 4809 + }, + { + "epoch": 0.62, + "learning_rate": 1.699121566032168e-05, + "loss": 4.0472, + "step": 4810 + }, + { + "epoch": 0.62, + "learning_rate": 1.6981397070532567e-05, + "loss": 3.9871, + "step": 4811 + }, + { + "epoch": 0.62, + "learning_rate": 1.697157985923425e-05, + "loss": 3.8301, + "step": 4812 + }, + { + "epoch": 0.62, + "learning_rate": 1.696176402811444e-05, + "loss": 3.9696, + "step": 4813 + }, + { + "epoch": 0.62, + "learning_rate": 1.6951949578860575e-05, + "loss": 3.8665, + "step": 4814 + }, + { + "epoch": 0.62, + "learning_rate": 1.6942136513159875e-05, + "loss": 3.7384, + "step": 4815 + }, + { + "epoch": 0.62, + "learning_rate": 1.6932324832699326e-05, + "loss": 3.9886, + "step": 4816 + }, + { + "epoch": 0.62, + "learning_rate": 1.692251453916567e-05, + "loss": 3.9722, + "step": 4817 + }, + { + "epoch": 0.62, + "learning_rate": 1.69127056342454e-05, + "loss": 3.9402, + "step": 4818 + }, + { + "epoch": 0.62, + "learning_rate": 1.6902898119624794e-05, + "loss": 3.9473, + "step": 4819 + }, + { + "epoch": 0.62, + "learning_rate": 1.689309199698986e-05, + "loss": 3.8116, + "step": 4820 + }, + { + "epoch": 0.62, + "learning_rate": 1.6883287268026404e-05, + "loss": 3.92, + "step": 4821 + }, + { + "epoch": 0.62, + "learning_rate": 1.6873483934419958e-05, + "loss": 3.9525, + "step": 4822 + }, + { + "epoch": 0.62, + "learning_rate": 1.6863681997855844e-05, + "loss": 3.8485, + "step": 4823 + }, + { + "epoch": 0.62, + "learning_rate": 1.6853881460019117e-05, + "loss": 3.9885, + "step": 4824 + }, + { + "epoch": 0.62, + "learning_rate": 1.68440823225946e-05, + "loss": 4.0273, + "step": 4825 + }, + { + "epoch": 0.62, + "learning_rate": 1.6834284587266884e-05, + "loss": 3.9999, + "step": 4826 + }, + { + "epoch": 0.62, + "learning_rate": 1.6824488255720316e-05, + "loss": 3.9443, + "step": 4827 + }, + { + "epoch": 0.62, + "learning_rate": 1.6814693329638993e-05, + "loss": 3.7755, + "step": 4828 + }, + { + "epoch": 0.62, + "learning_rate": 1.6804899810706777e-05, + "loss": 4.0002, + "step": 4829 + }, + { + "epoch": 0.62, + "learning_rate": 1.6795107700607284e-05, + "loss": 3.9221, + "step": 4830 + }, + { + "epoch": 0.62, + "learning_rate": 1.6785317001023907e-05, + "loss": 3.8996, + "step": 4831 + }, + { + "epoch": 0.62, + "learning_rate": 1.677552771363977e-05, + "loss": 3.9192, + "step": 4832 + }, + { + "epoch": 0.62, + "learning_rate": 1.6765739840137758e-05, + "loss": 3.8592, + "step": 4833 + }, + { + "epoch": 0.62, + "learning_rate": 1.6755953382200536e-05, + "loss": 3.896, + "step": 4834 + }, + { + "epoch": 0.62, + "learning_rate": 1.67461683415105e-05, + "loss": 3.9488, + "step": 4835 + }, + { + "epoch": 0.62, + "learning_rate": 1.6736384719749805e-05, + "loss": 3.911, + "step": 4836 + }, + { + "epoch": 0.62, + "learning_rate": 1.6726602518600383e-05, + "loss": 3.9233, + "step": 4837 + }, + { + "epoch": 0.62, + "learning_rate": 1.6716821739743888e-05, + "loss": 3.9098, + "step": 4838 + }, + { + "epoch": 0.62, + "learning_rate": 1.6707042384861775e-05, + "loss": 3.838, + "step": 4839 + }, + { + "epoch": 0.62, + "learning_rate": 1.6697264455635213e-05, + "loss": 3.8447, + "step": 4840 + }, + { + "epoch": 0.62, + "learning_rate": 1.668748795374515e-05, + "loss": 3.7828, + "step": 4841 + }, + { + "epoch": 0.62, + "learning_rate": 1.6677712880872277e-05, + "loss": 3.9541, + "step": 4842 + }, + { + "epoch": 0.62, + "learning_rate": 1.666793923869703e-05, + "loss": 3.7917, + "step": 4843 + }, + { + "epoch": 0.62, + "learning_rate": 1.6658167028899628e-05, + "loss": 3.9477, + "step": 4844 + }, + { + "epoch": 0.62, + "learning_rate": 1.664839625316002e-05, + "loss": 3.8737, + "step": 4845 + }, + { + "epoch": 0.62, + "learning_rate": 1.663862691315791e-05, + "loss": 3.7816, + "step": 4846 + }, + { + "epoch": 0.62, + "learning_rate": 1.6628859010572774e-05, + "loss": 3.951, + "step": 4847 + }, + { + "epoch": 0.62, + "learning_rate": 1.6619092547083815e-05, + "loss": 3.9695, + "step": 4848 + }, + { + "epoch": 0.62, + "learning_rate": 1.660932752437001e-05, + "loss": 3.8578, + "step": 4849 + }, + { + "epoch": 0.62, + "learning_rate": 1.659956394411008e-05, + "loss": 3.9151, + "step": 4850 + }, + { + "epoch": 0.62, + "learning_rate": 1.658980180798249e-05, + "loss": 3.9293, + "step": 4851 + }, + { + "epoch": 0.62, + "learning_rate": 1.658004111766547e-05, + "loss": 3.9652, + "step": 4852 + }, + { + "epoch": 0.62, + "learning_rate": 1.6570281874836994e-05, + "loss": 3.8779, + "step": 4853 + }, + { + "epoch": 0.62, + "learning_rate": 1.656052408117479e-05, + "loss": 3.9117, + "step": 4854 + }, + { + "epoch": 0.62, + "learning_rate": 1.6550767738356337e-05, + "loss": 3.874, + "step": 4855 + }, + { + "epoch": 0.62, + "learning_rate": 1.6541012848058863e-05, + "loss": 3.7886, + "step": 4856 + }, + { + "epoch": 0.62, + "learning_rate": 1.6531259411959332e-05, + "loss": 3.8798, + "step": 4857 + }, + { + "epoch": 0.62, + "learning_rate": 1.6521507431734492e-05, + "loss": 3.9518, + "step": 4858 + }, + { + "epoch": 0.62, + "learning_rate": 1.651175690906082e-05, + "loss": 3.9933, + "step": 4859 + }, + { + "epoch": 0.62, + "learning_rate": 1.650200784561454e-05, + "loss": 3.8914, + "step": 4860 + }, + { + "epoch": 0.62, + "learning_rate": 1.6492260243071627e-05, + "loss": 3.9272, + "step": 4861 + }, + { + "epoch": 0.62, + "learning_rate": 1.648251410310781e-05, + "loss": 3.8845, + "step": 4862 + }, + { + "epoch": 0.62, + "learning_rate": 1.6472769427398566e-05, + "loss": 4.06, + "step": 4863 + }, + { + "epoch": 0.62, + "learning_rate": 1.6463026217619104e-05, + "loss": 3.9051, + "step": 4864 + }, + { + "epoch": 0.62, + "learning_rate": 1.6453284475444415e-05, + "loss": 3.8747, + "step": 4865 + }, + { + "epoch": 0.62, + "learning_rate": 1.644354420254919e-05, + "loss": 4.0228, + "step": 4866 + }, + { + "epoch": 0.62, + "learning_rate": 1.6433805400607924e-05, + "loss": 3.9654, + "step": 4867 + }, + { + "epoch": 0.62, + "learning_rate": 1.6424068071294817e-05, + "loss": 3.9624, + "step": 4868 + }, + { + "epoch": 0.62, + "learning_rate": 1.6414332216283826e-05, + "loss": 3.9063, + "step": 4869 + }, + { + "epoch": 0.62, + "learning_rate": 1.6404597837248664e-05, + "loss": 4.0098, + "step": 4870 + }, + { + "epoch": 0.62, + "learning_rate": 1.639486493586278e-05, + "loss": 3.9376, + "step": 4871 + }, + { + "epoch": 0.62, + "learning_rate": 1.6385133513799368e-05, + "loss": 3.8841, + "step": 4872 + }, + { + "epoch": 0.62, + "learning_rate": 1.6375403572731384e-05, + "loss": 3.904, + "step": 4873 + }, + { + "epoch": 0.62, + "learning_rate": 1.636567511433151e-05, + "loss": 4.0303, + "step": 4874 + }, + { + "epoch": 0.62, + "learning_rate": 1.635594814027217e-05, + "loss": 3.907, + "step": 4875 + }, + { + "epoch": 0.62, + "learning_rate": 1.6346222652225564e-05, + "loss": 3.9385, + "step": 4876 + }, + { + "epoch": 0.62, + "learning_rate": 1.6336498651863606e-05, + "loss": 3.957, + "step": 4877 + }, + { + "epoch": 0.62, + "learning_rate": 1.632677614085797e-05, + "loss": 3.9506, + "step": 4878 + }, + { + "epoch": 0.62, + "learning_rate": 1.631705512088006e-05, + "loss": 3.9758, + "step": 4879 + }, + { + "epoch": 0.62, + "learning_rate": 1.6307335593601036e-05, + "loss": 4.0373, + "step": 4880 + }, + { + "epoch": 0.62, + "learning_rate": 1.6297617560691804e-05, + "loss": 4.0467, + "step": 4881 + }, + { + "epoch": 0.62, + "learning_rate": 1.6287901023822988e-05, + "loss": 3.9565, + "step": 4882 + }, + { + "epoch": 0.63, + "learning_rate": 1.6278185984664995e-05, + "loss": 4.0966, + "step": 4883 + }, + { + "epoch": 0.63, + "learning_rate": 1.6268472444887933e-05, + "loss": 3.9555, + "step": 4884 + }, + { + "epoch": 0.63, + "learning_rate": 1.625876040616169e-05, + "loss": 4.049, + "step": 4885 + }, + { + "epoch": 0.63, + "learning_rate": 1.6249049870155873e-05, + "loss": 3.9099, + "step": 4886 + }, + { + "epoch": 0.63, + "learning_rate": 1.6239340838539827e-05, + "loss": 3.9367, + "step": 4887 + }, + { + "epoch": 0.63, + "learning_rate": 1.6229633312982657e-05, + "loss": 3.9633, + "step": 4888 + }, + { + "epoch": 0.63, + "learning_rate": 1.62199272951532e-05, + "loss": 3.8834, + "step": 4889 + }, + { + "epoch": 0.63, + "learning_rate": 1.6210222786720013e-05, + "loss": 3.9283, + "step": 4890 + }, + { + "epoch": 0.63, + "learning_rate": 1.6200519789351444e-05, + "loss": 3.9896, + "step": 4891 + }, + { + "epoch": 0.63, + "learning_rate": 1.6190818304715532e-05, + "loss": 3.8236, + "step": 4892 + }, + { + "epoch": 0.63, + "learning_rate": 1.6181118334480073e-05, + "loss": 3.9328, + "step": 4893 + }, + { + "epoch": 0.63, + "learning_rate": 1.6171419880312605e-05, + "loss": 3.9985, + "step": 4894 + }, + { + "epoch": 0.63, + "learning_rate": 1.6161722943880416e-05, + "loss": 3.9201, + "step": 4895 + }, + { + "epoch": 0.63, + "learning_rate": 1.615202752685052e-05, + "loss": 3.8844, + "step": 4896 + }, + { + "epoch": 0.63, + "learning_rate": 1.6142333630889658e-05, + "loss": 3.8473, + "step": 4897 + }, + { + "epoch": 0.63, + "learning_rate": 1.6132641257664337e-05, + "loss": 3.8767, + "step": 4898 + }, + { + "epoch": 0.63, + "learning_rate": 1.6122950408840785e-05, + "loss": 3.9696, + "step": 4899 + }, + { + "epoch": 0.63, + "learning_rate": 1.611326108608496e-05, + "loss": 4.0035, + "step": 4900 + }, + { + "epoch": 0.63, + "learning_rate": 1.610357329106259e-05, + "loss": 3.9762, + "step": 4901 + }, + { + "epoch": 0.63, + "learning_rate": 1.6093887025439106e-05, + "loss": 3.9516, + "step": 4902 + }, + { + "epoch": 0.63, + "learning_rate": 1.608420229087968e-05, + "loss": 3.9666, + "step": 4903 + }, + { + "epoch": 0.63, + "learning_rate": 1.607451908904925e-05, + "loss": 3.8772, + "step": 4904 + }, + { + "epoch": 0.63, + "learning_rate": 1.6064837421612456e-05, + "loss": 3.9049, + "step": 4905 + }, + { + "epoch": 0.63, + "learning_rate": 1.6055157290233702e-05, + "loss": 4.1045, + "step": 4906 + }, + { + "epoch": 0.63, + "learning_rate": 1.6045478696577104e-05, + "loss": 3.8782, + "step": 4907 + }, + { + "epoch": 0.63, + "learning_rate": 1.6035801642306526e-05, + "loss": 3.9945, + "step": 4908 + }, + { + "epoch": 0.63, + "learning_rate": 1.6026126129085568e-05, + "loss": 3.8565, + "step": 4909 + }, + { + "epoch": 0.63, + "learning_rate": 1.6016452158577565e-05, + "loss": 4.0469, + "step": 4910 + }, + { + "epoch": 0.63, + "learning_rate": 1.600677973244558e-05, + "loss": 3.8837, + "step": 4911 + }, + { + "epoch": 0.63, + "learning_rate": 1.599710885235241e-05, + "loss": 4.0341, + "step": 4912 + }, + { + "epoch": 0.63, + "learning_rate": 1.5987439519960606e-05, + "loss": 3.8374, + "step": 4913 + }, + { + "epoch": 0.63, + "learning_rate": 1.5977771736932436e-05, + "loss": 3.8265, + "step": 4914 + }, + { + "epoch": 0.63, + "learning_rate": 1.5968105504929893e-05, + "loss": 3.8549, + "step": 4915 + }, + { + "epoch": 0.63, + "learning_rate": 1.5958440825614722e-05, + "loss": 3.8353, + "step": 4916 + }, + { + "epoch": 0.63, + "learning_rate": 1.5948777700648394e-05, + "loss": 3.8336, + "step": 4917 + }, + { + "epoch": 0.63, + "learning_rate": 1.5939116131692107e-05, + "loss": 3.7735, + "step": 4918 + }, + { + "epoch": 0.63, + "learning_rate": 1.59294561204068e-05, + "loss": 3.971, + "step": 4919 + }, + { + "epoch": 0.63, + "learning_rate": 1.5919797668453145e-05, + "loss": 3.8522, + "step": 4920 + }, + { + "epoch": 0.63, + "learning_rate": 1.5910140777491527e-05, + "loss": 3.9055, + "step": 4921 + }, + { + "epoch": 0.63, + "learning_rate": 1.5900485449182094e-05, + "loss": 3.9411, + "step": 4922 + }, + { + "epoch": 0.63, + "learning_rate": 1.5890831685184702e-05, + "loss": 3.9814, + "step": 4923 + }, + { + "epoch": 0.63, + "learning_rate": 1.5881179487158954e-05, + "loss": 3.7868, + "step": 4924 + }, + { + "epoch": 0.63, + "learning_rate": 1.5871528856764162e-05, + "loss": 4.0386, + "step": 4925 + }, + { + "epoch": 0.63, + "learning_rate": 1.586187979565938e-05, + "loss": 3.8916, + "step": 4926 + }, + { + "epoch": 0.63, + "learning_rate": 1.5852232305503406e-05, + "loss": 4.0542, + "step": 4927 + }, + { + "epoch": 0.63, + "learning_rate": 1.584258638795475e-05, + "loss": 3.9312, + "step": 4928 + }, + { + "epoch": 0.63, + "learning_rate": 1.5832942044671647e-05, + "loss": 3.9112, + "step": 4929 + }, + { + "epoch": 0.63, + "learning_rate": 1.5823299277312087e-05, + "loss": 3.7825, + "step": 4930 + }, + { + "epoch": 0.63, + "learning_rate": 1.5813658087533756e-05, + "loss": 4.1175, + "step": 4931 + }, + { + "epoch": 0.63, + "learning_rate": 1.5804018476994108e-05, + "loss": 3.8284, + "step": 4932 + }, + { + "epoch": 0.63, + "learning_rate": 1.5794380447350288e-05, + "loss": 3.9104, + "step": 4933 + }, + { + "epoch": 0.63, + "learning_rate": 1.5784744000259194e-05, + "loss": 4.0238, + "step": 4934 + }, + { + "epoch": 0.63, + "learning_rate": 1.5775109137377443e-05, + "loss": 3.9402, + "step": 4935 + }, + { + "epoch": 0.63, + "learning_rate": 1.5765475860361365e-05, + "loss": 3.9424, + "step": 4936 + }, + { + "epoch": 0.63, + "learning_rate": 1.575584417086705e-05, + "loss": 3.8808, + "step": 4937 + }, + { + "epoch": 0.63, + "learning_rate": 1.5746214070550286e-05, + "loss": 3.9934, + "step": 4938 + }, + { + "epoch": 0.63, + "learning_rate": 1.57365855610666e-05, + "loss": 3.8485, + "step": 4939 + }, + { + "epoch": 0.63, + "learning_rate": 1.5726958644071248e-05, + "loss": 3.8554, + "step": 4940 + }, + { + "epoch": 0.63, + "learning_rate": 1.5717333321219207e-05, + "loss": 3.8902, + "step": 4941 + }, + { + "epoch": 0.63, + "learning_rate": 1.5707709594165186e-05, + "loss": 3.993, + "step": 4942 + }, + { + "epoch": 0.63, + "learning_rate": 1.569808746456361e-05, + "loss": 3.8838, + "step": 4943 + }, + { + "epoch": 0.63, + "learning_rate": 1.5688466934068633e-05, + "loss": 3.8948, + "step": 4944 + }, + { + "epoch": 0.63, + "learning_rate": 1.5678848004334143e-05, + "loss": 3.8768, + "step": 4945 + }, + { + "epoch": 0.63, + "learning_rate": 1.566923067701374e-05, + "loss": 3.7648, + "step": 4946 + }, + { + "epoch": 0.63, + "learning_rate": 1.5659614953760752e-05, + "loss": 3.9182, + "step": 4947 + }, + { + "epoch": 0.63, + "learning_rate": 1.565000083622824e-05, + "loss": 3.8791, + "step": 4948 + }, + { + "epoch": 0.63, + "learning_rate": 1.564038832606897e-05, + "loss": 3.9159, + "step": 4949 + }, + { + "epoch": 0.63, + "learning_rate": 1.563077742493546e-05, + "loss": 3.9868, + "step": 4950 + }, + { + "epoch": 0.63, + "learning_rate": 1.5621168134479926e-05, + "loss": 3.9085, + "step": 4951 + }, + { + "epoch": 0.63, + "learning_rate": 1.5611560456354323e-05, + "loss": 3.8348, + "step": 4952 + }, + { + "epoch": 0.63, + "learning_rate": 1.5601954392210317e-05, + "loss": 3.7862, + "step": 4953 + }, + { + "epoch": 0.63, + "learning_rate": 1.5592349943699295e-05, + "loss": 3.8756, + "step": 4954 + }, + { + "epoch": 0.63, + "learning_rate": 1.558274711247239e-05, + "loss": 3.9185, + "step": 4955 + }, + { + "epoch": 0.63, + "learning_rate": 1.557314590018043e-05, + "loss": 3.8732, + "step": 4956 + }, + { + "epoch": 0.63, + "learning_rate": 1.5563546308473967e-05, + "loss": 3.9129, + "step": 4957 + }, + { + "epoch": 0.63, + "learning_rate": 1.555394833900329e-05, + "loss": 3.8671, + "step": 4958 + }, + { + "epoch": 0.63, + "learning_rate": 1.5544351993418403e-05, + "loss": 4.0111, + "step": 4959 + }, + { + "epoch": 0.63, + "learning_rate": 1.553475727336904e-05, + "loss": 3.8756, + "step": 4960 + }, + { + "epoch": 0.64, + "learning_rate": 1.552516418050462e-05, + "loss": 3.9673, + "step": 4961 + }, + { + "epoch": 0.64, + "learning_rate": 1.5515572716474322e-05, + "loss": 3.9014, + "step": 4962 + }, + { + "epoch": 0.64, + "learning_rate": 1.5505982882927027e-05, + "loss": 3.8002, + "step": 4963 + }, + { + "epoch": 0.64, + "learning_rate": 1.5496394681511345e-05, + "loss": 3.7804, + "step": 4964 + }, + { + "epoch": 0.64, + "learning_rate": 1.5486808113875585e-05, + "loss": 4.0124, + "step": 4965 + }, + { + "epoch": 0.64, + "learning_rate": 1.5477223181667796e-05, + "loss": 3.9446, + "step": 4966 + }, + { + "epoch": 0.64, + "learning_rate": 1.5467639886535746e-05, + "loss": 3.7597, + "step": 4967 + }, + { + "epoch": 0.64, + "learning_rate": 1.5458058230126894e-05, + "loss": 3.9682, + "step": 4968 + }, + { + "epoch": 0.64, + "learning_rate": 1.5448478214088458e-05, + "loss": 4.06, + "step": 4969 + }, + { + "epoch": 0.64, + "learning_rate": 1.5438899840067354e-05, + "loss": 3.862, + "step": 4970 + }, + { + "epoch": 0.64, + "learning_rate": 1.542932310971021e-05, + "loss": 3.8663, + "step": 4971 + }, + { + "epoch": 0.64, + "learning_rate": 1.5419748024663372e-05, + "loss": 3.9856, + "step": 4972 + }, + { + "epoch": 0.64, + "learning_rate": 1.541017458657291e-05, + "loss": 3.8933, + "step": 4973 + }, + { + "epoch": 0.64, + "learning_rate": 1.5400602797084622e-05, + "loss": 3.9239, + "step": 4974 + }, + { + "epoch": 0.64, + "learning_rate": 1.5391032657843988e-05, + "loss": 3.8216, + "step": 4975 + }, + { + "epoch": 0.64, + "learning_rate": 1.538146417049624e-05, + "loss": 3.9729, + "step": 4976 + }, + { + "epoch": 0.64, + "learning_rate": 1.5371897336686302e-05, + "loss": 3.9879, + "step": 4977 + }, + { + "epoch": 0.64, + "learning_rate": 1.536233215805884e-05, + "loss": 3.8899, + "step": 4978 + }, + { + "epoch": 0.64, + "learning_rate": 1.5352768636258203e-05, + "loss": 3.8125, + "step": 4979 + }, + { + "epoch": 0.64, + "learning_rate": 1.5343206772928487e-05, + "loss": 4.0787, + "step": 4980 + }, + { + "epoch": 0.64, + "learning_rate": 1.5333646569713474e-05, + "loss": 3.8559, + "step": 4981 + }, + { + "epoch": 0.64, + "learning_rate": 1.532408802825668e-05, + "loss": 4.0386, + "step": 4982 + }, + { + "epoch": 0.64, + "learning_rate": 1.5314531150201315e-05, + "loss": 3.8886, + "step": 4983 + }, + { + "epoch": 0.64, + "learning_rate": 1.530497593719034e-05, + "loss": 3.9004, + "step": 4984 + }, + { + "epoch": 0.64, + "learning_rate": 1.52954223908664e-05, + "loss": 3.8027, + "step": 4985 + }, + { + "epoch": 0.64, + "learning_rate": 1.5285870512871836e-05, + "loss": 3.9193, + "step": 4986 + }, + { + "epoch": 0.64, + "learning_rate": 1.5276320304848756e-05, + "loss": 3.8525, + "step": 4987 + }, + { + "epoch": 0.64, + "learning_rate": 1.5266771768438947e-05, + "loss": 3.9467, + "step": 4988 + }, + { + "epoch": 0.64, + "learning_rate": 1.5257224905283912e-05, + "loss": 3.8319, + "step": 4989 + }, + { + "epoch": 0.64, + "learning_rate": 1.5247679717024854e-05, + "loss": 3.9254, + "step": 4990 + }, + { + "epoch": 0.64, + "learning_rate": 1.523813620530272e-05, + "loss": 4.0143, + "step": 4991 + }, + { + "epoch": 0.64, + "learning_rate": 1.5228594371758136e-05, + "loss": 3.8924, + "step": 4992 + }, + { + "epoch": 0.64, + "learning_rate": 1.5219054218031458e-05, + "loss": 3.8678, + "step": 4993 + }, + { + "epoch": 0.64, + "learning_rate": 1.5209515745762759e-05, + "loss": 3.7766, + "step": 4994 + }, + { + "epoch": 0.64, + "learning_rate": 1.519997895659179e-05, + "loss": 3.8273, + "step": 4995 + }, + { + "epoch": 0.64, + "learning_rate": 1.519044385215806e-05, + "loss": 3.832, + "step": 4996 + }, + { + "epoch": 0.64, + "learning_rate": 1.5180910434100748e-05, + "loss": 3.9422, + "step": 4997 + }, + { + "epoch": 0.64, + "learning_rate": 1.5171378704058773e-05, + "loss": 3.8663, + "step": 4998 + }, + { + "epoch": 0.64, + "learning_rate": 1.5161848663670742e-05, + "loss": 3.8325, + "step": 4999 + }, + { + "epoch": 0.64, + "learning_rate": 1.5152320314574974e-05, + "loss": 3.9274, + "step": 5000 + }, + { + "epoch": 0.64, + "learning_rate": 1.514279365840951e-05, + "loss": 3.8054, + "step": 5001 + }, + { + "epoch": 0.64, + "learning_rate": 1.5133268696812092e-05, + "loss": 3.9338, + "step": 5002 + }, + { + "epoch": 0.64, + "learning_rate": 1.5123745431420169e-05, + "loss": 3.9336, + "step": 5003 + }, + { + "epoch": 0.64, + "learning_rate": 1.51142238638709e-05, + "loss": 3.8771, + "step": 5004 + }, + { + "epoch": 0.64, + "learning_rate": 1.5104703995801145e-05, + "loss": 3.8915, + "step": 5005 + }, + { + "epoch": 0.64, + "learning_rate": 1.5095185828847502e-05, + "loss": 4.0413, + "step": 5006 + }, + { + "epoch": 0.64, + "learning_rate": 1.5085669364646243e-05, + "loss": 3.8788, + "step": 5007 + }, + { + "epoch": 0.64, + "learning_rate": 1.5076154604833351e-05, + "loss": 3.9398, + "step": 5008 + }, + { + "epoch": 0.64, + "learning_rate": 1.5066641551044532e-05, + "loss": 3.9524, + "step": 5009 + }, + { + "epoch": 0.64, + "learning_rate": 1.5057130204915194e-05, + "loss": 4.0159, + "step": 5010 + }, + { + "epoch": 0.64, + "learning_rate": 1.5047620568080428e-05, + "loss": 3.788, + "step": 5011 + }, + { + "epoch": 0.64, + "learning_rate": 1.5038112642175073e-05, + "loss": 3.8732, + "step": 5012 + }, + { + "epoch": 0.64, + "learning_rate": 1.5028606428833643e-05, + "loss": 3.9731, + "step": 5013 + }, + { + "epoch": 0.64, + "learning_rate": 1.5019101929690357e-05, + "loss": 3.9111, + "step": 5014 + }, + { + "epoch": 0.64, + "learning_rate": 1.5009599146379164e-05, + "loss": 4.007, + "step": 5015 + }, + { + "epoch": 0.64, + "learning_rate": 1.5000098080533697e-05, + "loss": 4.0194, + "step": 5016 + }, + { + "epoch": 0.64, + "learning_rate": 1.4990598733787303e-05, + "loss": 3.8548, + "step": 5017 + }, + { + "epoch": 0.64, + "learning_rate": 1.498110110777302e-05, + "loss": 3.8182, + "step": 5018 + }, + { + "epoch": 0.64, + "learning_rate": 1.497160520412361e-05, + "loss": 3.8779, + "step": 5019 + }, + { + "epoch": 0.64, + "learning_rate": 1.4962111024471523e-05, + "loss": 3.9579, + "step": 5020 + }, + { + "epoch": 0.64, + "learning_rate": 1.4952618570448923e-05, + "loss": 3.8679, + "step": 5021 + }, + { + "epoch": 0.64, + "learning_rate": 1.494312784368766e-05, + "loss": 3.9055, + "step": 5022 + }, + { + "epoch": 0.64, + "learning_rate": 1.493363884581931e-05, + "loss": 3.9985, + "step": 5023 + }, + { + "epoch": 0.64, + "learning_rate": 1.4924151578475149e-05, + "loss": 3.9247, + "step": 5024 + }, + { + "epoch": 0.64, + "learning_rate": 1.491466604328614e-05, + "loss": 3.8873, + "step": 5025 + }, + { + "epoch": 0.64, + "learning_rate": 1.4905182241882957e-05, + "loss": 3.8594, + "step": 5026 + }, + { + "epoch": 0.64, + "learning_rate": 1.4895700175895977e-05, + "loss": 3.9384, + "step": 5027 + }, + { + "epoch": 0.64, + "learning_rate": 1.4886219846955276e-05, + "loss": 3.8442, + "step": 5028 + }, + { + "epoch": 0.64, + "learning_rate": 1.4876741256690629e-05, + "loss": 3.9562, + "step": 5029 + }, + { + "epoch": 0.64, + "learning_rate": 1.4867264406731524e-05, + "loss": 4.007, + "step": 5030 + }, + { + "epoch": 0.64, + "learning_rate": 1.4857789298707133e-05, + "loss": 3.8873, + "step": 5031 + }, + { + "epoch": 0.64, + "learning_rate": 1.4848315934246332e-05, + "loss": 3.7646, + "step": 5032 + }, + { + "epoch": 0.64, + "learning_rate": 1.4838844314977717e-05, + "loss": 4.1158, + "step": 5033 + }, + { + "epoch": 0.64, + "learning_rate": 1.4829374442529564e-05, + "loss": 3.978, + "step": 5034 + }, + { + "epoch": 0.64, + "learning_rate": 1.4819906318529859e-05, + "loss": 3.9919, + "step": 5035 + }, + { + "epoch": 0.64, + "learning_rate": 1.4810439944606264e-05, + "loss": 3.8835, + "step": 5036 + }, + { + "epoch": 0.64, + "learning_rate": 1.4800975322386177e-05, + "loss": 3.8694, + "step": 5037 + }, + { + "epoch": 0.64, + "learning_rate": 1.479151245349667e-05, + "loss": 3.9341, + "step": 5038 + }, + { + "epoch": 0.64, + "learning_rate": 1.4782051339564512e-05, + "loss": 3.9383, + "step": 5039 + }, + { + "epoch": 0.65, + "learning_rate": 1.4772591982216194e-05, + "loss": 3.9493, + "step": 5040 + }, + { + "epoch": 0.65, + "learning_rate": 1.4763134383077876e-05, + "loss": 3.9743, + "step": 5041 + }, + { + "epoch": 0.65, + "learning_rate": 1.4753678543775429e-05, + "loss": 4.007, + "step": 5042 + }, + { + "epoch": 0.65, + "learning_rate": 1.4744224465934431e-05, + "loss": 3.9833, + "step": 5043 + }, + { + "epoch": 0.65, + "learning_rate": 1.473477215118014e-05, + "loss": 3.8543, + "step": 5044 + }, + { + "epoch": 0.65, + "learning_rate": 1.4725321601137526e-05, + "loss": 3.9598, + "step": 5045 + }, + { + "epoch": 0.65, + "learning_rate": 1.4715872817431242e-05, + "loss": 3.8784, + "step": 5046 + }, + { + "epoch": 0.65, + "learning_rate": 1.470642580168564e-05, + "loss": 3.9481, + "step": 5047 + }, + { + "epoch": 0.65, + "learning_rate": 1.469698055552478e-05, + "loss": 3.9837, + "step": 5048 + }, + { + "epoch": 0.65, + "learning_rate": 1.4687537080572406e-05, + "loss": 3.7882, + "step": 5049 + }, + { + "epoch": 0.65, + "learning_rate": 1.4678095378451957e-05, + "loss": 4.0309, + "step": 5050 + }, + { + "epoch": 0.65, + "learning_rate": 1.4668655450786566e-05, + "loss": 3.8467, + "step": 5051 + }, + { + "epoch": 0.65, + "learning_rate": 1.4659217299199084e-05, + "loss": 3.9268, + "step": 5052 + }, + { + "epoch": 0.65, + "learning_rate": 1.4649780925312034e-05, + "loss": 3.9589, + "step": 5053 + }, + { + "epoch": 0.65, + "learning_rate": 1.4640346330747623e-05, + "loss": 3.9858, + "step": 5054 + }, + { + "epoch": 0.65, + "learning_rate": 1.4630913517127787e-05, + "loss": 3.9343, + "step": 5055 + }, + { + "epoch": 0.65, + "learning_rate": 1.4621482486074122e-05, + "loss": 3.781, + "step": 5056 + }, + { + "epoch": 0.65, + "learning_rate": 1.4612053239207929e-05, + "loss": 3.8964, + "step": 5057 + }, + { + "epoch": 0.65, + "learning_rate": 1.460262577815022e-05, + "loss": 3.7364, + "step": 5058 + }, + { + "epoch": 0.65, + "learning_rate": 1.459320010452167e-05, + "loss": 3.8228, + "step": 5059 + }, + { + "epoch": 0.65, + "learning_rate": 1.4583776219942666e-05, + "loss": 4.0611, + "step": 5060 + }, + { + "epoch": 0.65, + "learning_rate": 1.4574354126033293e-05, + "loss": 3.8823, + "step": 5061 + }, + { + "epoch": 0.65, + "learning_rate": 1.456493382441331e-05, + "loss": 3.8539, + "step": 5062 + }, + { + "epoch": 0.65, + "learning_rate": 1.4555515316702176e-05, + "loss": 3.8947, + "step": 5063 + }, + { + "epoch": 0.65, + "learning_rate": 1.4546098604519043e-05, + "loss": 3.9594, + "step": 5064 + }, + { + "epoch": 0.65, + "learning_rate": 1.453668368948275e-05, + "loss": 3.8434, + "step": 5065 + }, + { + "epoch": 0.65, + "learning_rate": 1.4527270573211824e-05, + "loss": 3.8988, + "step": 5066 + }, + { + "epoch": 0.65, + "learning_rate": 1.4517859257324506e-05, + "loss": 3.8108, + "step": 5067 + }, + { + "epoch": 0.65, + "learning_rate": 1.45084497434387e-05, + "loss": 3.9046, + "step": 5068 + }, + { + "epoch": 0.65, + "learning_rate": 1.4499042033172004e-05, + "loss": 3.8214, + "step": 5069 + }, + { + "epoch": 0.65, + "learning_rate": 1.4489636128141725e-05, + "loss": 3.9117, + "step": 5070 + }, + { + "epoch": 0.65, + "learning_rate": 1.448023202996485e-05, + "loss": 3.9717, + "step": 5071 + }, + { + "epoch": 0.65, + "learning_rate": 1.447082974025804e-05, + "loss": 3.8904, + "step": 5072 + }, + { + "epoch": 0.65, + "learning_rate": 1.446142926063766e-05, + "loss": 3.849, + "step": 5073 + }, + { + "epoch": 0.65, + "learning_rate": 1.4452030592719757e-05, + "loss": 3.8687, + "step": 5074 + }, + { + "epoch": 0.65, + "learning_rate": 1.4442633738120087e-05, + "loss": 3.9195, + "step": 5075 + }, + { + "epoch": 0.65, + "learning_rate": 1.4433238698454071e-05, + "loss": 3.9678, + "step": 5076 + }, + { + "epoch": 0.65, + "learning_rate": 1.442384547533682e-05, + "loss": 3.9945, + "step": 5077 + }, + { + "epoch": 0.65, + "learning_rate": 1.4414454070383144e-05, + "loss": 3.7032, + "step": 5078 + }, + { + "epoch": 0.65, + "learning_rate": 1.4405064485207516e-05, + "loss": 3.7829, + "step": 5079 + }, + { + "epoch": 0.65, + "learning_rate": 1.4395676721424146e-05, + "loss": 3.9859, + "step": 5080 + }, + { + "epoch": 0.65, + "learning_rate": 1.4386290780646871e-05, + "loss": 3.8706, + "step": 5081 + }, + { + "epoch": 0.65, + "learning_rate": 1.4376906664489264e-05, + "loss": 3.9509, + "step": 5082 + }, + { + "epoch": 0.65, + "learning_rate": 1.4367524374564556e-05, + "loss": 3.8051, + "step": 5083 + }, + { + "epoch": 0.65, + "learning_rate": 1.4358143912485672e-05, + "loss": 3.9458, + "step": 5084 + }, + { + "epoch": 0.65, + "learning_rate": 1.434876527986522e-05, + "loss": 4.0363, + "step": 5085 + }, + { + "epoch": 0.65, + "learning_rate": 1.4339388478315496e-05, + "loss": 3.9352, + "step": 5086 + }, + { + "epoch": 0.65, + "learning_rate": 1.433001350944847e-05, + "loss": 3.998, + "step": 5087 + }, + { + "epoch": 0.65, + "learning_rate": 1.4320640374875826e-05, + "loss": 3.8362, + "step": 5088 + }, + { + "epoch": 0.65, + "learning_rate": 1.4311269076208903e-05, + "loss": 3.9981, + "step": 5089 + }, + { + "epoch": 0.65, + "learning_rate": 1.4301899615058748e-05, + "loss": 3.9187, + "step": 5090 + }, + { + "epoch": 0.65, + "learning_rate": 1.4292531993036071e-05, + "loss": 3.9471, + "step": 5091 + }, + { + "epoch": 0.65, + "learning_rate": 1.4283166211751275e-05, + "loss": 3.8902, + "step": 5092 + }, + { + "epoch": 0.65, + "learning_rate": 1.4273802272814451e-05, + "loss": 3.7108, + "step": 5093 + }, + { + "epoch": 0.65, + "learning_rate": 1.4264440177835365e-05, + "loss": 3.8598, + "step": 5094 + }, + { + "epoch": 0.65, + "learning_rate": 1.4255079928423456e-05, + "loss": 3.9997, + "step": 5095 + }, + { + "epoch": 0.65, + "learning_rate": 1.4245721526187882e-05, + "loss": 3.99, + "step": 5096 + }, + { + "epoch": 0.65, + "learning_rate": 1.4236364972737447e-05, + "loss": 3.9526, + "step": 5097 + }, + { + "epoch": 0.65, + "learning_rate": 1.4227010269680662e-05, + "loss": 3.8898, + "step": 5098 + }, + { + "epoch": 0.65, + "learning_rate": 1.4217657418625707e-05, + "loss": 3.8647, + "step": 5099 + }, + { + "epoch": 0.65, + "learning_rate": 1.420830642118044e-05, + "loss": 3.912, + "step": 5100 + }, + { + "epoch": 0.65, + "learning_rate": 1.4198957278952407e-05, + "loss": 3.942, + "step": 5101 + }, + { + "epoch": 0.65, + "learning_rate": 1.4189609993548825e-05, + "loss": 3.9244, + "step": 5102 + }, + { + "epoch": 0.65, + "learning_rate": 1.4180264566576617e-05, + "loss": 3.9868, + "step": 5103 + }, + { + "epoch": 0.65, + "learning_rate": 1.4170920999642362e-05, + "loss": 3.9866, + "step": 5104 + }, + { + "epoch": 0.65, + "learning_rate": 1.4161579294352334e-05, + "loss": 3.9264, + "step": 5105 + }, + { + "epoch": 0.65, + "learning_rate": 1.415223945231246e-05, + "loss": 3.8404, + "step": 5106 + }, + { + "epoch": 0.65, + "learning_rate": 1.4142901475128394e-05, + "loss": 3.8625, + "step": 5107 + }, + { + "epoch": 0.65, + "learning_rate": 1.4133565364405433e-05, + "loss": 3.8823, + "step": 5108 + }, + { + "epoch": 0.65, + "learning_rate": 1.412423112174856e-05, + "loss": 3.8972, + "step": 5109 + }, + { + "epoch": 0.65, + "learning_rate": 1.4114898748762428e-05, + "loss": 3.9131, + "step": 5110 + }, + { + "epoch": 0.65, + "learning_rate": 1.4105568247051405e-05, + "loss": 3.9089, + "step": 5111 + }, + { + "epoch": 0.65, + "learning_rate": 1.4096239618219493e-05, + "loss": 3.9615, + "step": 5112 + }, + { + "epoch": 0.65, + "learning_rate": 1.4086912863870402e-05, + "loss": 3.8286, + "step": 5113 + }, + { + "epoch": 0.65, + "learning_rate": 1.4077587985607505e-05, + "loss": 3.9706, + "step": 5114 + }, + { + "epoch": 0.65, + "learning_rate": 1.4068264985033858e-05, + "loss": 3.9619, + "step": 5115 + }, + { + "epoch": 0.65, + "learning_rate": 1.4058943863752178e-05, + "loss": 3.7996, + "step": 5116 + }, + { + "epoch": 0.65, + "learning_rate": 1.4049624623364891e-05, + "loss": 3.9594, + "step": 5117 + }, + { + "epoch": 0.66, + "learning_rate": 1.4040307265474087e-05, + "loss": 3.8693, + "step": 5118 + }, + { + "epoch": 0.66, + "learning_rate": 1.403099179168152e-05, + "loss": 3.9722, + "step": 5119 + }, + { + "epoch": 0.66, + "learning_rate": 1.402167820358863e-05, + "loss": 3.9079, + "step": 5120 + }, + { + "epoch": 0.66, + "learning_rate": 1.4012366502796525e-05, + "loss": 3.9165, + "step": 5121 + }, + { + "epoch": 0.66, + "learning_rate": 1.4003056690906e-05, + "loss": 3.8699, + "step": 5122 + }, + { + "epoch": 0.66, + "learning_rate": 1.3993748769517506e-05, + "loss": 4.0126, + "step": 5123 + }, + { + "epoch": 0.66, + "learning_rate": 1.3984442740231201e-05, + "loss": 3.9788, + "step": 5124 + }, + { + "epoch": 0.66, + "learning_rate": 1.3975138604646887e-05, + "loss": 4.0052, + "step": 5125 + }, + { + "epoch": 0.66, + "learning_rate": 1.3965836364364068e-05, + "loss": 3.8436, + "step": 5126 + }, + { + "epoch": 0.66, + "learning_rate": 1.3956536020981897e-05, + "loss": 3.7856, + "step": 5127 + }, + { + "epoch": 0.66, + "learning_rate": 1.3947237576099209e-05, + "loss": 4.1009, + "step": 5128 + }, + { + "epoch": 0.66, + "learning_rate": 1.3937941031314516e-05, + "loss": 4.0004, + "step": 5129 + }, + { + "epoch": 0.66, + "learning_rate": 1.3928646388226003e-05, + "loss": 3.9251, + "step": 5130 + }, + { + "epoch": 0.66, + "learning_rate": 1.3919353648431516e-05, + "loss": 3.9505, + "step": 5131 + }, + { + "epoch": 0.66, + "learning_rate": 1.3910062813528605e-05, + "loss": 3.9698, + "step": 5132 + }, + { + "epoch": 0.66, + "learning_rate": 1.390077388511446e-05, + "loss": 3.9441, + "step": 5133 + }, + { + "epoch": 0.66, + "learning_rate": 1.3891486864785949e-05, + "loss": 3.8941, + "step": 5134 + }, + { + "epoch": 0.66, + "learning_rate": 1.3882201754139637e-05, + "loss": 3.9587, + "step": 5135 + }, + { + "epoch": 0.66, + "learning_rate": 1.387291855477173e-05, + "loss": 3.8553, + "step": 5136 + }, + { + "epoch": 0.66, + "learning_rate": 1.3863637268278123e-05, + "loss": 3.8852, + "step": 5137 + }, + { + "epoch": 0.66, + "learning_rate": 1.385435789625436e-05, + "loss": 4.0033, + "step": 5138 + }, + { + "epoch": 0.66, + "learning_rate": 1.38450804402957e-05, + "loss": 3.9487, + "step": 5139 + }, + { + "epoch": 0.66, + "learning_rate": 1.3835804901997029e-05, + "loss": 4.1152, + "step": 5140 + }, + { + "epoch": 0.66, + "learning_rate": 1.382653128295292e-05, + "loss": 3.876, + "step": 5141 + }, + { + "epoch": 0.66, + "learning_rate": 1.381725958475762e-05, + "loss": 3.9309, + "step": 5142 + }, + { + "epoch": 0.66, + "learning_rate": 1.380798980900503e-05, + "loss": 3.9531, + "step": 5143 + }, + { + "epoch": 0.66, + "learning_rate": 1.3798721957288746e-05, + "loss": 4.0825, + "step": 5144 + }, + { + "epoch": 0.66, + "learning_rate": 1.378945603120202e-05, + "loss": 3.9862, + "step": 5145 + }, + { + "epoch": 0.66, + "learning_rate": 1.3780192032337752e-05, + "loss": 3.9671, + "step": 5146 + }, + { + "epoch": 0.66, + "learning_rate": 1.3770929962288554e-05, + "loss": 3.966, + "step": 5147 + }, + { + "epoch": 0.66, + "learning_rate": 1.3761669822646678e-05, + "loss": 3.7997, + "step": 5148 + }, + { + "epoch": 0.66, + "learning_rate": 1.375241161500404e-05, + "loss": 3.789, + "step": 5149 + }, + { + "epoch": 0.66, + "learning_rate": 1.3743155340952243e-05, + "loss": 3.8675, + "step": 5150 + }, + { + "epoch": 0.66, + "learning_rate": 1.3733901002082544e-05, + "loss": 3.8566, + "step": 5151 + }, + { + "epoch": 0.66, + "learning_rate": 1.3724648599985856e-05, + "loss": 3.9107, + "step": 5152 + }, + { + "epoch": 0.66, + "learning_rate": 1.3715398136252794e-05, + "loss": 3.9578, + "step": 5153 + }, + { + "epoch": 0.66, + "learning_rate": 1.370614961247362e-05, + "loss": 4.0357, + "step": 5154 + }, + { + "epoch": 0.66, + "learning_rate": 1.3696903030238262e-05, + "loss": 3.8645, + "step": 5155 + }, + { + "epoch": 0.66, + "learning_rate": 1.3687658391136304e-05, + "loss": 3.9764, + "step": 5156 + }, + { + "epoch": 0.66, + "learning_rate": 1.3678415696757016e-05, + "loss": 3.8884, + "step": 5157 + }, + { + "epoch": 0.66, + "learning_rate": 1.366917494868932e-05, + "loss": 3.7948, + "step": 5158 + }, + { + "epoch": 0.66, + "learning_rate": 1.36599361485218e-05, + "loss": 3.9293, + "step": 5159 + }, + { + "epoch": 0.66, + "learning_rate": 1.3650699297842729e-05, + "loss": 3.9676, + "step": 5160 + }, + { + "epoch": 0.66, + "learning_rate": 1.3641464398240022e-05, + "loss": 3.9291, + "step": 5161 + }, + { + "epoch": 0.66, + "learning_rate": 1.3632231451301256e-05, + "loss": 3.9152, + "step": 5162 + }, + { + "epoch": 0.66, + "learning_rate": 1.3623000458613699e-05, + "loss": 4.0322, + "step": 5163 + }, + { + "epoch": 0.66, + "learning_rate": 1.3613771421764255e-05, + "loss": 3.9465, + "step": 5164 + }, + { + "epoch": 0.66, + "learning_rate": 1.3604544342339506e-05, + "loss": 3.9122, + "step": 5165 + }, + { + "epoch": 0.66, + "learning_rate": 1.359531922192569e-05, + "loss": 3.7937, + "step": 5166 + }, + { + "epoch": 0.66, + "learning_rate": 1.3586096062108709e-05, + "loss": 3.9444, + "step": 5167 + }, + { + "epoch": 0.66, + "learning_rate": 1.3576874864474143e-05, + "loss": 3.9256, + "step": 5168 + }, + { + "epoch": 0.66, + "learning_rate": 1.3567655630607212e-05, + "loss": 3.8995, + "step": 5169 + }, + { + "epoch": 0.66, + "learning_rate": 1.3558438362092818e-05, + "loss": 3.9689, + "step": 5170 + }, + { + "epoch": 0.66, + "learning_rate": 1.3549223060515503e-05, + "loss": 3.8348, + "step": 5171 + }, + { + "epoch": 0.66, + "learning_rate": 1.3540009727459499e-05, + "loss": 3.8923, + "step": 5172 + }, + { + "epoch": 0.66, + "learning_rate": 1.353079836450868e-05, + "loss": 4.0018, + "step": 5173 + }, + { + "epoch": 0.66, + "learning_rate": 1.3521588973246574e-05, + "loss": 3.8129, + "step": 5174 + }, + { + "epoch": 0.66, + "learning_rate": 1.3512381555256403e-05, + "loss": 3.8405, + "step": 5175 + }, + { + "epoch": 0.66, + "learning_rate": 1.3503176112121018e-05, + "loss": 3.8077, + "step": 5176 + }, + { + "epoch": 0.66, + "learning_rate": 1.3493972645422943e-05, + "loss": 3.9275, + "step": 5177 + }, + { + "epoch": 0.66, + "learning_rate": 1.3484771156744357e-05, + "loss": 4.0283, + "step": 5178 + }, + { + "epoch": 0.66, + "learning_rate": 1.347557164766711e-05, + "loss": 3.8793, + "step": 5179 + }, + { + "epoch": 0.66, + "learning_rate": 1.3466374119772684e-05, + "loss": 3.9502, + "step": 5180 + }, + { + "epoch": 0.66, + "learning_rate": 1.345717857464226e-05, + "loss": 3.9393, + "step": 5181 + }, + { + "epoch": 0.66, + "learning_rate": 1.3447985013856664e-05, + "loss": 3.9161, + "step": 5182 + }, + { + "epoch": 0.66, + "learning_rate": 1.3438793438996367e-05, + "loss": 3.8766, + "step": 5183 + }, + { + "epoch": 0.66, + "learning_rate": 1.3429603851641507e-05, + "loss": 3.9646, + "step": 5184 + }, + { + "epoch": 0.66, + "learning_rate": 1.3420416253371878e-05, + "loss": 3.7572, + "step": 5185 + }, + { + "epoch": 0.66, + "learning_rate": 1.3411230645766936e-05, + "loss": 3.8981, + "step": 5186 + }, + { + "epoch": 0.66, + "learning_rate": 1.3402047030405801e-05, + "loss": 3.9388, + "step": 5187 + }, + { + "epoch": 0.66, + "learning_rate": 1.3392865408867223e-05, + "loss": 3.9351, + "step": 5188 + }, + { + "epoch": 0.66, + "learning_rate": 1.338368578272965e-05, + "loss": 3.9412, + "step": 5189 + }, + { + "epoch": 0.66, + "learning_rate": 1.3374508153571153e-05, + "loss": 3.7812, + "step": 5190 + }, + { + "epoch": 0.66, + "learning_rate": 1.3365332522969487e-05, + "loss": 4.1151, + "step": 5191 + }, + { + "epoch": 0.66, + "learning_rate": 1.3356158892502038e-05, + "loss": 3.9649, + "step": 5192 + }, + { + "epoch": 0.66, + "learning_rate": 1.3346987263745864e-05, + "loss": 3.9222, + "step": 5193 + }, + { + "epoch": 0.66, + "learning_rate": 1.3337817638277675e-05, + "loss": 3.9044, + "step": 5194 + }, + { + "epoch": 0.66, + "learning_rate": 1.3328650017673822e-05, + "loss": 3.7934, + "step": 5195 + }, + { + "epoch": 0.67, + "learning_rate": 1.3319484403510346e-05, + "loss": 3.8485, + "step": 5196 + }, + { + "epoch": 0.67, + "learning_rate": 1.3310320797362915e-05, + "loss": 3.9413, + "step": 5197 + }, + { + "epoch": 0.67, + "learning_rate": 1.3301159200806857e-05, + "loss": 3.9835, + "step": 5198 + }, + { + "epoch": 0.67, + "learning_rate": 1.3291999615417148e-05, + "loss": 4.0802, + "step": 5199 + }, + { + "epoch": 0.67, + "learning_rate": 1.3282842042768446e-05, + "loss": 3.9181, + "step": 5200 + }, + { + "epoch": 0.67, + "learning_rate": 1.327368648443503e-05, + "loss": 3.9539, + "step": 5201 + }, + { + "epoch": 0.67, + "learning_rate": 1.3264532941990854e-05, + "loss": 4.0221, + "step": 5202 + }, + { + "epoch": 0.67, + "learning_rate": 1.3255381417009502e-05, + "loss": 3.827, + "step": 5203 + }, + { + "epoch": 0.67, + "learning_rate": 1.3246231911064249e-05, + "loss": 3.7622, + "step": 5204 + }, + { + "epoch": 0.67, + "learning_rate": 1.3237084425727997e-05, + "loss": 4.0798, + "step": 5205 + }, + { + "epoch": 0.67, + "learning_rate": 1.3227938962573294e-05, + "loss": 3.9509, + "step": 5206 + }, + { + "epoch": 0.67, + "learning_rate": 1.3218795523172362e-05, + "loss": 3.8761, + "step": 5207 + }, + { + "epoch": 0.67, + "learning_rate": 1.3209654109097045e-05, + "loss": 3.9156, + "step": 5208 + }, + { + "epoch": 0.67, + "learning_rate": 1.3200514721918883e-05, + "loss": 3.8019, + "step": 5209 + }, + { + "epoch": 0.67, + "learning_rate": 1.3191377363209023e-05, + "loss": 3.8945, + "step": 5210 + }, + { + "epoch": 0.67, + "learning_rate": 1.3182242034538301e-05, + "loss": 3.9322, + "step": 5211 + }, + { + "epoch": 0.67, + "learning_rate": 1.3173108737477175e-05, + "loss": 3.9625, + "step": 5212 + }, + { + "epoch": 0.67, + "learning_rate": 1.3163977473595767e-05, + "loss": 4.1541, + "step": 5213 + }, + { + "epoch": 0.67, + "learning_rate": 1.3154848244463847e-05, + "loss": 4.0389, + "step": 5214 + }, + { + "epoch": 0.67, + "learning_rate": 1.3145721051650833e-05, + "loss": 4.004, + "step": 5215 + }, + { + "epoch": 0.67, + "learning_rate": 1.3136595896725787e-05, + "loss": 3.9114, + "step": 5216 + }, + { + "epoch": 0.67, + "learning_rate": 1.3127472781257438e-05, + "loss": 3.9086, + "step": 5217 + }, + { + "epoch": 0.67, + "learning_rate": 1.3118351706814168e-05, + "loss": 3.9173, + "step": 5218 + }, + { + "epoch": 0.67, + "learning_rate": 1.3109232674963983e-05, + "loss": 4.0099, + "step": 5219 + }, + { + "epoch": 0.67, + "learning_rate": 1.310011568727455e-05, + "loss": 3.9625, + "step": 5220 + }, + { + "epoch": 0.67, + "learning_rate": 1.3091000745313186e-05, + "loss": 3.8799, + "step": 5221 + }, + { + "epoch": 0.67, + "learning_rate": 1.3081887850646856e-05, + "loss": 3.965, + "step": 5222 + }, + { + "epoch": 0.67, + "learning_rate": 1.307277700484217e-05, + "loss": 3.7473, + "step": 5223 + }, + { + "epoch": 0.67, + "learning_rate": 1.3063668209465379e-05, + "loss": 4.0826, + "step": 5224 + }, + { + "epoch": 0.67, + "learning_rate": 1.3054561466082412e-05, + "loss": 3.9225, + "step": 5225 + }, + { + "epoch": 0.67, + "learning_rate": 1.3045456776258813e-05, + "loss": 4.0809, + "step": 5226 + }, + { + "epoch": 0.67, + "learning_rate": 1.303635414155977e-05, + "loss": 3.9593, + "step": 5227 + }, + { + "epoch": 0.67, + "learning_rate": 1.3027253563550157e-05, + "loss": 3.9706, + "step": 5228 + }, + { + "epoch": 0.67, + "learning_rate": 1.3018155043794455e-05, + "loss": 3.8605, + "step": 5229 + }, + { + "epoch": 0.67, + "learning_rate": 1.300905858385681e-05, + "loss": 3.9552, + "step": 5230 + }, + { + "epoch": 0.67, + "learning_rate": 1.2999964185300989e-05, + "loss": 3.9758, + "step": 5231 + }, + { + "epoch": 0.67, + "learning_rate": 1.2990871849690456e-05, + "loss": 3.9127, + "step": 5232 + }, + { + "epoch": 0.67, + "learning_rate": 1.298178157858827e-05, + "loss": 3.9386, + "step": 5233 + }, + { + "epoch": 0.67, + "learning_rate": 1.297269337355716e-05, + "loss": 3.8985, + "step": 5234 + }, + { + "epoch": 0.67, + "learning_rate": 1.2963607236159492e-05, + "loss": 3.9988, + "step": 5235 + }, + { + "epoch": 0.67, + "learning_rate": 1.2954523167957266e-05, + "loss": 3.9825, + "step": 5236 + }, + { + "epoch": 0.67, + "learning_rate": 1.2945441170512163e-05, + "loss": 4.0057, + "step": 5237 + }, + { + "epoch": 0.67, + "learning_rate": 1.2936361245385459e-05, + "loss": 3.8598, + "step": 5238 + }, + { + "epoch": 0.67, + "learning_rate": 1.2927283394138123e-05, + "loss": 3.9909, + "step": 5239 + }, + { + "epoch": 0.67, + "learning_rate": 1.291820761833073e-05, + "loss": 3.8104, + "step": 5240 + }, + { + "epoch": 0.67, + "learning_rate": 1.2909133919523508e-05, + "loss": 3.8708, + "step": 5241 + }, + { + "epoch": 0.67, + "learning_rate": 1.2900062299276339e-05, + "loss": 4.0411, + "step": 5242 + }, + { + "epoch": 0.67, + "learning_rate": 1.2890992759148734e-05, + "loss": 4.0267, + "step": 5243 + }, + { + "epoch": 0.67, + "learning_rate": 1.2881925300699854e-05, + "loss": 3.9581, + "step": 5244 + }, + { + "epoch": 0.67, + "learning_rate": 1.287285992548849e-05, + "loss": 3.9687, + "step": 5245 + }, + { + "epoch": 0.67, + "learning_rate": 1.2863796635073092e-05, + "loss": 3.7945, + "step": 5246 + }, + { + "epoch": 0.67, + "learning_rate": 1.2854735431011758e-05, + "loss": 3.8192, + "step": 5247 + }, + { + "epoch": 0.67, + "learning_rate": 1.2845676314862203e-05, + "loss": 3.9025, + "step": 5248 + }, + { + "epoch": 0.67, + "learning_rate": 1.2836619288181795e-05, + "loss": 3.9079, + "step": 5249 + }, + { + "epoch": 0.67, + "learning_rate": 1.2827564352527544e-05, + "loss": 3.9626, + "step": 5250 + }, + { + "epoch": 0.67, + "learning_rate": 1.2818511509456094e-05, + "loss": 3.9206, + "step": 5251 + }, + { + "epoch": 0.67, + "learning_rate": 1.2809460760523723e-05, + "loss": 3.9209, + "step": 5252 + }, + { + "epoch": 0.67, + "learning_rate": 1.2800412107286386e-05, + "loss": 3.9073, + "step": 5253 + }, + { + "epoch": 0.67, + "learning_rate": 1.2791365551299625e-05, + "loss": 3.9786, + "step": 5254 + }, + { + "epoch": 0.67, + "learning_rate": 1.2782321094118671e-05, + "loss": 3.9628, + "step": 5255 + }, + { + "epoch": 0.67, + "learning_rate": 1.277327873729836e-05, + "loss": 3.8534, + "step": 5256 + }, + { + "epoch": 0.67, + "learning_rate": 1.2764238482393181e-05, + "loss": 3.8882, + "step": 5257 + }, + { + "epoch": 0.67, + "learning_rate": 1.2755200330957251e-05, + "loss": 3.8409, + "step": 5258 + }, + { + "epoch": 0.67, + "learning_rate": 1.2746164284544332e-05, + "loss": 4.0267, + "step": 5259 + }, + { + "epoch": 0.67, + "learning_rate": 1.2737130344707843e-05, + "loss": 3.9787, + "step": 5260 + }, + { + "epoch": 0.67, + "learning_rate": 1.2728098513000806e-05, + "loss": 3.8814, + "step": 5261 + }, + { + "epoch": 0.67, + "learning_rate": 1.2719068790975904e-05, + "loss": 3.9276, + "step": 5262 + }, + { + "epoch": 0.67, + "learning_rate": 1.271004118018545e-05, + "loss": 3.935, + "step": 5263 + }, + { + "epoch": 0.67, + "learning_rate": 1.2701015682181386e-05, + "loss": 3.9141, + "step": 5264 + }, + { + "epoch": 0.67, + "learning_rate": 1.2691992298515318e-05, + "loss": 3.9907, + "step": 5265 + }, + { + "epoch": 0.67, + "learning_rate": 1.268297103073846e-05, + "loss": 3.9039, + "step": 5266 + }, + { + "epoch": 0.67, + "learning_rate": 1.2673951880401663e-05, + "loss": 3.9769, + "step": 5267 + }, + { + "epoch": 0.67, + "learning_rate": 1.2664934849055443e-05, + "loss": 3.9713, + "step": 5268 + }, + { + "epoch": 0.67, + "learning_rate": 1.265591993824992e-05, + "loss": 3.7874, + "step": 5269 + }, + { + "epoch": 0.67, + "learning_rate": 1.264690714953487e-05, + "loss": 3.948, + "step": 5270 + }, + { + "epoch": 0.67, + "learning_rate": 1.2637896484459688e-05, + "loss": 4.004, + "step": 5271 + }, + { + "epoch": 0.67, + "learning_rate": 1.2628887944573414e-05, + "loss": 3.9097, + "step": 5272 + }, + { + "epoch": 0.67, + "learning_rate": 1.2619881531424713e-05, + "loss": 3.8645, + "step": 5273 + }, + { + "epoch": 0.68, + "learning_rate": 1.2610877246561898e-05, + "loss": 3.9563, + "step": 5274 + }, + { + "epoch": 0.68, + "learning_rate": 1.260187509153292e-05, + "loss": 3.8523, + "step": 5275 + }, + { + "epoch": 0.68, + "learning_rate": 1.2592875067885346e-05, + "loss": 3.8893, + "step": 5276 + }, + { + "epoch": 0.68, + "learning_rate": 1.258387717716638e-05, + "loss": 3.8645, + "step": 5277 + }, + { + "epoch": 0.68, + "learning_rate": 1.2574881420922874e-05, + "loss": 3.8723, + "step": 5278 + }, + { + "epoch": 0.68, + "learning_rate": 1.2565887800701293e-05, + "loss": 3.9319, + "step": 5279 + }, + { + "epoch": 0.68, + "learning_rate": 1.2556896318047733e-05, + "loss": 3.9318, + "step": 5280 + }, + { + "epoch": 0.68, + "learning_rate": 1.2547906974507967e-05, + "loss": 3.9723, + "step": 5281 + }, + { + "epoch": 0.68, + "learning_rate": 1.2538919771627333e-05, + "loss": 3.8998, + "step": 5282 + }, + { + "epoch": 0.68, + "learning_rate": 1.2529934710950863e-05, + "loss": 3.9751, + "step": 5283 + }, + { + "epoch": 0.68, + "learning_rate": 1.2520951794023183e-05, + "loss": 4.0254, + "step": 5284 + }, + { + "epoch": 0.68, + "learning_rate": 1.2511971022388559e-05, + "loss": 3.9653, + "step": 5285 + }, + { + "epoch": 0.68, + "learning_rate": 1.2502992397590891e-05, + "loss": 4.1315, + "step": 5286 + }, + { + "epoch": 0.68, + "learning_rate": 1.2494015921173704e-05, + "loss": 3.8878, + "step": 5287 + }, + { + "epoch": 0.68, + "learning_rate": 1.2485041594680155e-05, + "loss": 3.8348, + "step": 5288 + }, + { + "epoch": 0.68, + "learning_rate": 1.247606941965305e-05, + "loss": 4.0146, + "step": 5289 + }, + { + "epoch": 0.68, + "learning_rate": 1.2467099397634801e-05, + "loss": 3.9502, + "step": 5290 + }, + { + "epoch": 0.68, + "learning_rate": 1.2458131530167453e-05, + "loss": 3.9531, + "step": 5291 + }, + { + "epoch": 0.68, + "learning_rate": 1.24491658187927e-05, + "loss": 3.9191, + "step": 5292 + }, + { + "epoch": 0.68, + "learning_rate": 1.2440202265051844e-05, + "loss": 3.9864, + "step": 5293 + }, + { + "epoch": 0.68, + "learning_rate": 1.2431240870485824e-05, + "loss": 3.924, + "step": 5294 + }, + { + "epoch": 0.68, + "learning_rate": 1.2422281636635202e-05, + "loss": 3.8581, + "step": 5295 + }, + { + "epoch": 0.68, + "learning_rate": 1.2413324565040186e-05, + "loss": 3.9356, + "step": 5296 + }, + { + "epoch": 0.68, + "learning_rate": 1.2404369657240597e-05, + "loss": 4.0238, + "step": 5297 + }, + { + "epoch": 0.68, + "learning_rate": 1.2395416914775881e-05, + "loss": 3.8837, + "step": 5298 + }, + { + "epoch": 0.68, + "learning_rate": 1.2386466339185127e-05, + "loss": 4.0878, + "step": 5299 + }, + { + "epoch": 0.68, + "learning_rate": 1.2377517932007035e-05, + "loss": 3.9726, + "step": 5300 + }, + { + "epoch": 0.68, + "learning_rate": 1.2368571694779935e-05, + "loss": 3.9362, + "step": 5301 + }, + { + "epoch": 0.68, + "learning_rate": 1.2359627629041807e-05, + "loss": 3.8234, + "step": 5302 + }, + { + "epoch": 0.68, + "learning_rate": 1.2350685736330218e-05, + "loss": 3.9023, + "step": 5303 + }, + { + "epoch": 0.68, + "learning_rate": 1.23417460181824e-05, + "loss": 3.8961, + "step": 5304 + }, + { + "epoch": 0.68, + "learning_rate": 1.2332808476135194e-05, + "loss": 3.9252, + "step": 5305 + }, + { + "epoch": 0.68, + "learning_rate": 1.2323873111725062e-05, + "loss": 3.9639, + "step": 5306 + }, + { + "epoch": 0.68, + "learning_rate": 1.2314939926488095e-05, + "loss": 4.0485, + "step": 5307 + }, + { + "epoch": 0.68, + "learning_rate": 1.230600892196001e-05, + "loss": 3.9303, + "step": 5308 + }, + { + "epoch": 0.68, + "learning_rate": 1.2297080099676145e-05, + "loss": 3.9735, + "step": 5309 + }, + { + "epoch": 0.68, + "learning_rate": 1.2288153461171478e-05, + "loss": 3.8463, + "step": 5310 + }, + { + "epoch": 0.68, + "learning_rate": 1.2279229007980606e-05, + "loss": 4.0595, + "step": 5311 + }, + { + "epoch": 0.68, + "learning_rate": 1.227030674163774e-05, + "loss": 3.9732, + "step": 5312 + }, + { + "epoch": 0.68, + "learning_rate": 1.2261386663676722e-05, + "loss": 3.8588, + "step": 5313 + }, + { + "epoch": 0.68, + "learning_rate": 1.2252468775631013e-05, + "loss": 3.8847, + "step": 5314 + }, + { + "epoch": 0.68, + "learning_rate": 1.2243553079033704e-05, + "loss": 3.9624, + "step": 5315 + }, + { + "epoch": 0.68, + "learning_rate": 1.2234639575417497e-05, + "loss": 4.0099, + "step": 5316 + }, + { + "epoch": 0.68, + "learning_rate": 1.2225728266314745e-05, + "loss": 3.8448, + "step": 5317 + }, + { + "epoch": 0.68, + "learning_rate": 1.2216819153257398e-05, + "loss": 3.7976, + "step": 5318 + }, + { + "epoch": 0.68, + "learning_rate": 1.2207912237777022e-05, + "loss": 4.0456, + "step": 5319 + }, + { + "epoch": 0.68, + "learning_rate": 1.219900752140484e-05, + "loss": 3.7973, + "step": 5320 + }, + { + "epoch": 0.68, + "learning_rate": 1.219010500567167e-05, + "loss": 3.9048, + "step": 5321 + }, + { + "epoch": 0.68, + "learning_rate": 1.2181204692107954e-05, + "loss": 3.9544, + "step": 5322 + }, + { + "epoch": 0.68, + "learning_rate": 1.2172306582243756e-05, + "loss": 3.9973, + "step": 5323 + }, + { + "epoch": 0.68, + "learning_rate": 1.2163410677608762e-05, + "loss": 3.8943, + "step": 5324 + }, + { + "epoch": 0.68, + "learning_rate": 1.2154516979732294e-05, + "loss": 3.7658, + "step": 5325 + }, + { + "epoch": 0.68, + "learning_rate": 1.2145625490143275e-05, + "loss": 3.924, + "step": 5326 + }, + { + "epoch": 0.68, + "learning_rate": 1.2136736210370255e-05, + "loss": 3.8438, + "step": 5327 + }, + { + "epoch": 0.68, + "learning_rate": 1.2127849141941397e-05, + "loss": 3.9411, + "step": 5328 + }, + { + "epoch": 0.68, + "learning_rate": 1.2118964286384508e-05, + "loss": 3.9162, + "step": 5329 + }, + { + "epoch": 0.68, + "learning_rate": 1.2110081645226986e-05, + "loss": 3.898, + "step": 5330 + }, + { + "epoch": 0.68, + "learning_rate": 1.2101201219995854e-05, + "loss": 3.9177, + "step": 5331 + }, + { + "epoch": 0.68, + "learning_rate": 1.2092323012217773e-05, + "loss": 3.9638, + "step": 5332 + }, + { + "epoch": 0.68, + "learning_rate": 1.208344702341901e-05, + "loss": 4.0043, + "step": 5333 + }, + { + "epoch": 0.68, + "learning_rate": 1.2074573255125444e-05, + "loss": 3.8042, + "step": 5334 + }, + { + "epoch": 0.68, + "learning_rate": 1.2065701708862578e-05, + "loss": 3.8885, + "step": 5335 + }, + { + "epoch": 0.68, + "learning_rate": 1.2056832386155536e-05, + "loss": 3.913, + "step": 5336 + }, + { + "epoch": 0.68, + "learning_rate": 1.204796528852905e-05, + "loss": 3.8308, + "step": 5337 + }, + { + "epoch": 0.68, + "learning_rate": 1.203910041750749e-05, + "loss": 3.9612, + "step": 5338 + }, + { + "epoch": 0.68, + "learning_rate": 1.2030237774614817e-05, + "loss": 4.017, + "step": 5339 + }, + { + "epoch": 0.68, + "learning_rate": 1.2021377361374637e-05, + "loss": 3.8579, + "step": 5340 + }, + { + "epoch": 0.68, + "learning_rate": 1.201251917931015e-05, + "loss": 3.9469, + "step": 5341 + }, + { + "epoch": 0.68, + "learning_rate": 1.2003663229944179e-05, + "loss": 3.943, + "step": 5342 + }, + { + "epoch": 0.68, + "learning_rate": 1.1994809514799165e-05, + "loss": 3.9764, + "step": 5343 + }, + { + "epoch": 0.68, + "learning_rate": 1.1985958035397168e-05, + "loss": 3.8728, + "step": 5344 + }, + { + "epoch": 0.68, + "learning_rate": 1.1977108793259844e-05, + "loss": 3.8608, + "step": 5345 + }, + { + "epoch": 0.68, + "learning_rate": 1.1968261789908502e-05, + "loss": 3.9411, + "step": 5346 + }, + { + "epoch": 0.68, + "learning_rate": 1.1959417026864025e-05, + "loss": 4.01, + "step": 5347 + }, + { + "epoch": 0.68, + "learning_rate": 1.1950574505646952e-05, + "loss": 4.0369, + "step": 5348 + }, + { + "epoch": 0.68, + "learning_rate": 1.1941734227777404e-05, + "loss": 3.9887, + "step": 5349 + }, + { + "epoch": 0.68, + "learning_rate": 1.1932896194775126e-05, + "loss": 3.9017, + "step": 5350 + }, + { + "epoch": 0.68, + "learning_rate": 1.1924060408159477e-05, + "loss": 4.0394, + "step": 5351 + }, + { + "epoch": 0.69, + "learning_rate": 1.1915226869449425e-05, + "loss": 3.9251, + "step": 5352 + }, + { + "epoch": 0.69, + "learning_rate": 1.1906395580163577e-05, + "loss": 3.8635, + "step": 5353 + }, + { + "epoch": 0.69, + "learning_rate": 1.1897566541820122e-05, + "loss": 4.0595, + "step": 5354 + }, + { + "epoch": 0.69, + "learning_rate": 1.1888739755936873e-05, + "loss": 4.0188, + "step": 5355 + }, + { + "epoch": 0.69, + "learning_rate": 1.1879915224031248e-05, + "loss": 4.0216, + "step": 5356 + }, + { + "epoch": 0.69, + "learning_rate": 1.187109294762031e-05, + "loss": 3.7641, + "step": 5357 + }, + { + "epoch": 0.69, + "learning_rate": 1.1862272928220696e-05, + "loss": 3.9248, + "step": 5358 + }, + { + "epoch": 0.69, + "learning_rate": 1.1853455167348673e-05, + "loss": 3.8778, + "step": 5359 + }, + { + "epoch": 0.69, + "learning_rate": 1.1844639666520104e-05, + "loss": 3.9509, + "step": 5360 + }, + { + "epoch": 0.69, + "learning_rate": 1.1835826427250495e-05, + "loss": 3.9817, + "step": 5361 + }, + { + "epoch": 0.69, + "learning_rate": 1.1827015451054938e-05, + "loss": 3.8979, + "step": 5362 + }, + { + "epoch": 0.69, + "learning_rate": 1.1818206739448138e-05, + "loss": 3.9372, + "step": 5363 + }, + { + "epoch": 0.69, + "learning_rate": 1.1809400293944415e-05, + "loss": 3.7858, + "step": 5364 + }, + { + "epoch": 0.69, + "learning_rate": 1.1800596116057689e-05, + "loss": 3.7829, + "step": 5365 + }, + { + "epoch": 0.69, + "learning_rate": 1.1791794207301524e-05, + "loss": 3.9265, + "step": 5366 + }, + { + "epoch": 0.69, + "learning_rate": 1.1782994569189047e-05, + "loss": 3.8593, + "step": 5367 + }, + { + "epoch": 0.69, + "learning_rate": 1.1774197203233037e-05, + "loss": 3.9713, + "step": 5368 + }, + { + "epoch": 0.69, + "learning_rate": 1.1765402110945852e-05, + "loss": 3.8404, + "step": 5369 + }, + { + "epoch": 0.69, + "learning_rate": 1.1756609293839477e-05, + "loss": 3.85, + "step": 5370 + }, + { + "epoch": 0.69, + "learning_rate": 1.1747818753425494e-05, + "loss": 3.8792, + "step": 5371 + }, + { + "epoch": 0.69, + "learning_rate": 1.1739030491215097e-05, + "loss": 3.8176, + "step": 5372 + }, + { + "epoch": 0.69, + "learning_rate": 1.1730244508719088e-05, + "loss": 3.894, + "step": 5373 + }, + { + "epoch": 0.69, + "learning_rate": 1.172146080744789e-05, + "loss": 3.8335, + "step": 5374 + }, + { + "epoch": 0.69, + "learning_rate": 1.171267938891151e-05, + "loss": 3.8525, + "step": 5375 + }, + { + "epoch": 0.69, + "learning_rate": 1.170390025461959e-05, + "loss": 3.9563, + "step": 5376 + }, + { + "epoch": 0.69, + "learning_rate": 1.169512340608136e-05, + "loss": 4.0507, + "step": 5377 + }, + { + "epoch": 0.69, + "learning_rate": 1.1686348844805659e-05, + "loss": 4.0269, + "step": 5378 + }, + { + "epoch": 0.69, + "learning_rate": 1.1677576572300936e-05, + "loss": 4.0527, + "step": 5379 + }, + { + "epoch": 0.69, + "learning_rate": 1.1668806590075249e-05, + "loss": 3.9526, + "step": 5380 + }, + { + "epoch": 0.69, + "learning_rate": 1.1660038899636247e-05, + "loss": 3.9056, + "step": 5381 + }, + { + "epoch": 0.69, + "learning_rate": 1.1651273502491216e-05, + "loss": 3.942, + "step": 5382 + }, + { + "epoch": 0.69, + "learning_rate": 1.1642510400147024e-05, + "loss": 3.9183, + "step": 5383 + }, + { + "epoch": 0.69, + "learning_rate": 1.1633749594110138e-05, + "loss": 3.9204, + "step": 5384 + }, + { + "epoch": 0.69, + "learning_rate": 1.162499108588666e-05, + "loss": 3.937, + "step": 5385 + }, + { + "epoch": 0.69, + "learning_rate": 1.161623487698227e-05, + "loss": 3.8995, + "step": 5386 + }, + { + "epoch": 0.69, + "learning_rate": 1.1607480968902264e-05, + "loss": 3.9696, + "step": 5387 + }, + { + "epoch": 0.69, + "learning_rate": 1.1598729363151531e-05, + "loss": 3.8873, + "step": 5388 + }, + { + "epoch": 0.69, + "learning_rate": 1.1589980061234588e-05, + "loss": 3.8053, + "step": 5389 + }, + { + "epoch": 0.69, + "learning_rate": 1.1581233064655536e-05, + "loss": 3.8786, + "step": 5390 + }, + { + "epoch": 0.69, + "learning_rate": 1.1572488374918084e-05, + "loss": 3.9511, + "step": 5391 + }, + { + "epoch": 0.69, + "learning_rate": 1.1563745993525543e-05, + "loss": 3.9389, + "step": 5392 + }, + { + "epoch": 0.69, + "learning_rate": 1.1555005921980824e-05, + "loss": 3.933, + "step": 5393 + }, + { + "epoch": 0.69, + "learning_rate": 1.1546268161786467e-05, + "loss": 3.8518, + "step": 5394 + }, + { + "epoch": 0.69, + "learning_rate": 1.153753271444458e-05, + "loss": 3.9124, + "step": 5395 + }, + { + "epoch": 0.69, + "learning_rate": 1.1528799581456879e-05, + "loss": 3.888, + "step": 5396 + }, + { + "epoch": 0.69, + "learning_rate": 1.1520068764324712e-05, + "loss": 3.9735, + "step": 5397 + }, + { + "epoch": 0.69, + "learning_rate": 1.1511340264548998e-05, + "loss": 3.9471, + "step": 5398 + }, + { + "epoch": 0.69, + "learning_rate": 1.1502614083630264e-05, + "loss": 4.0598, + "step": 5399 + }, + { + "epoch": 0.69, + "learning_rate": 1.1493890223068645e-05, + "loss": 3.9556, + "step": 5400 + }, + { + "epoch": 0.69, + "learning_rate": 1.1485168684363875e-05, + "loss": 3.9314, + "step": 5401 + }, + { + "epoch": 0.69, + "learning_rate": 1.1476449469015277e-05, + "loss": 3.9936, + "step": 5402 + }, + { + "epoch": 0.69, + "learning_rate": 1.146773257852179e-05, + "loss": 3.885, + "step": 5403 + }, + { + "epoch": 0.69, + "learning_rate": 1.1459018014381965e-05, + "loss": 3.999, + "step": 5404 + }, + { + "epoch": 0.69, + "learning_rate": 1.145030577809392e-05, + "loss": 3.9436, + "step": 5405 + }, + { + "epoch": 0.69, + "learning_rate": 1.1441595871155397e-05, + "loss": 3.8959, + "step": 5406 + }, + { + "epoch": 0.69, + "learning_rate": 1.1432888295063723e-05, + "loss": 3.904, + "step": 5407 + }, + { + "epoch": 0.69, + "learning_rate": 1.1424183051315838e-05, + "loss": 3.8652, + "step": 5408 + }, + { + "epoch": 0.69, + "learning_rate": 1.1415480141408257e-05, + "loss": 3.8748, + "step": 5409 + }, + { + "epoch": 0.69, + "learning_rate": 1.1406779566837138e-05, + "loss": 3.8723, + "step": 5410 + }, + { + "epoch": 0.69, + "learning_rate": 1.1398081329098199e-05, + "loss": 3.968, + "step": 5411 + }, + { + "epoch": 0.69, + "learning_rate": 1.1389385429686753e-05, + "loss": 3.7299, + "step": 5412 + }, + { + "epoch": 0.69, + "learning_rate": 1.138069187009775e-05, + "loss": 3.8869, + "step": 5413 + }, + { + "epoch": 0.69, + "learning_rate": 1.1372000651825704e-05, + "loss": 3.9698, + "step": 5414 + }, + { + "epoch": 0.69, + "learning_rate": 1.1363311776364735e-05, + "loss": 3.9618, + "step": 5415 + }, + { + "epoch": 0.69, + "learning_rate": 1.135462524520856e-05, + "loss": 3.8928, + "step": 5416 + }, + { + "epoch": 0.69, + "learning_rate": 1.134594105985049e-05, + "loss": 3.8594, + "step": 5417 + }, + { + "epoch": 0.69, + "learning_rate": 1.1337259221783453e-05, + "loss": 3.9525, + "step": 5418 + }, + { + "epoch": 0.69, + "learning_rate": 1.1328579732499945e-05, + "loss": 3.8812, + "step": 5419 + }, + { + "epoch": 0.69, + "learning_rate": 1.1319902593492073e-05, + "loss": 3.9359, + "step": 5420 + }, + { + "epoch": 0.69, + "learning_rate": 1.1311227806251531e-05, + "loss": 3.8048, + "step": 5421 + }, + { + "epoch": 0.69, + "learning_rate": 1.1302555372269633e-05, + "loss": 3.8729, + "step": 5422 + }, + { + "epoch": 0.69, + "learning_rate": 1.129388529303726e-05, + "loss": 3.9844, + "step": 5423 + }, + { + "epoch": 0.69, + "learning_rate": 1.128521757004489e-05, + "loss": 3.8137, + "step": 5424 + }, + { + "epoch": 0.69, + "learning_rate": 1.1276552204782626e-05, + "loss": 3.9824, + "step": 5425 + }, + { + "epoch": 0.69, + "learning_rate": 1.126788919874013e-05, + "loss": 3.9174, + "step": 5426 + }, + { + "epoch": 0.69, + "learning_rate": 1.1259228553406681e-05, + "loss": 3.7911, + "step": 5427 + }, + { + "epoch": 0.69, + "learning_rate": 1.125057027027114e-05, + "loss": 3.66, + "step": 5428 + }, + { + "epoch": 0.69, + "learning_rate": 1.1241914350821966e-05, + "loss": 3.9692, + "step": 5429 + }, + { + "epoch": 0.7, + "learning_rate": 1.1233260796547202e-05, + "loss": 3.958, + "step": 5430 + }, + { + "epoch": 0.7, + "learning_rate": 1.1224609608934505e-05, + "loss": 3.9455, + "step": 5431 + }, + { + "epoch": 0.7, + "learning_rate": 1.1215960789471125e-05, + "loss": 3.8885, + "step": 5432 + }, + { + "epoch": 0.7, + "learning_rate": 1.1207314339643885e-05, + "loss": 4.1253, + "step": 5433 + }, + { + "epoch": 0.7, + "learning_rate": 1.1198670260939206e-05, + "loss": 3.8045, + "step": 5434 + }, + { + "epoch": 0.7, + "learning_rate": 1.1190028554843107e-05, + "loss": 3.796, + "step": 5435 + }, + { + "epoch": 0.7, + "learning_rate": 1.1181389222841201e-05, + "loss": 3.8601, + "step": 5436 + }, + { + "epoch": 0.7, + "learning_rate": 1.1172752266418685e-05, + "loss": 3.9154, + "step": 5437 + }, + { + "epoch": 0.7, + "learning_rate": 1.1164117687060347e-05, + "loss": 3.9509, + "step": 5438 + }, + { + "epoch": 0.7, + "learning_rate": 1.1155485486250575e-05, + "loss": 3.8604, + "step": 5439 + }, + { + "epoch": 0.7, + "learning_rate": 1.1146855665473355e-05, + "loss": 3.9486, + "step": 5440 + }, + { + "epoch": 0.7, + "learning_rate": 1.1138228226212249e-05, + "loss": 3.9394, + "step": 5441 + }, + { + "epoch": 0.7, + "learning_rate": 1.112960316995041e-05, + "loss": 3.9684, + "step": 5442 + }, + { + "epoch": 0.7, + "learning_rate": 1.1120980498170582e-05, + "loss": 4.0005, + "step": 5443 + }, + { + "epoch": 0.7, + "learning_rate": 1.111236021235511e-05, + "loss": 4.0041, + "step": 5444 + }, + { + "epoch": 0.7, + "learning_rate": 1.1103742313985906e-05, + "loss": 4.0042, + "step": 5445 + }, + { + "epoch": 0.7, + "learning_rate": 1.1095126804544507e-05, + "loss": 3.8206, + "step": 5446 + }, + { + "epoch": 0.7, + "learning_rate": 1.108651368551201e-05, + "loss": 3.9974, + "step": 5447 + }, + { + "epoch": 0.7, + "learning_rate": 1.1077902958369108e-05, + "loss": 3.8408, + "step": 5448 + }, + { + "epoch": 0.7, + "learning_rate": 1.1069294624596077e-05, + "loss": 3.8072, + "step": 5449 + }, + { + "epoch": 0.7, + "learning_rate": 1.106068868567281e-05, + "loss": 3.9089, + "step": 5450 + }, + { + "epoch": 0.7, + "learning_rate": 1.1052085143078753e-05, + "loss": 3.8356, + "step": 5451 + }, + { + "epoch": 0.7, + "learning_rate": 1.104348399829295e-05, + "loss": 3.9011, + "step": 5452 + }, + { + "epoch": 0.7, + "learning_rate": 1.1034885252794055e-05, + "loss": 3.8264, + "step": 5453 + }, + { + "epoch": 0.7, + "learning_rate": 1.1026288908060284e-05, + "loss": 3.902, + "step": 5454 + }, + { + "epoch": 0.7, + "learning_rate": 1.1017694965569447e-05, + "loss": 3.8766, + "step": 5455 + }, + { + "epoch": 0.7, + "learning_rate": 1.1009103426798939e-05, + "loss": 3.8854, + "step": 5456 + }, + { + "epoch": 0.7, + "learning_rate": 1.100051429322575e-05, + "loss": 3.8799, + "step": 5457 + }, + { + "epoch": 0.7, + "learning_rate": 1.0991927566326443e-05, + "loss": 3.9122, + "step": 5458 + }, + { + "epoch": 0.7, + "learning_rate": 1.0983343247577188e-05, + "loss": 3.9487, + "step": 5459 + }, + { + "epoch": 0.7, + "learning_rate": 1.0974761338453717e-05, + "loss": 3.7939, + "step": 5460 + }, + { + "epoch": 0.7, + "learning_rate": 1.0966181840431376e-05, + "loss": 3.973, + "step": 5461 + }, + { + "epoch": 0.7, + "learning_rate": 1.0957604754985071e-05, + "loss": 3.9703, + "step": 5462 + }, + { + "epoch": 0.7, + "learning_rate": 1.09490300835893e-05, + "loss": 3.9599, + "step": 5463 + }, + { + "epoch": 0.7, + "learning_rate": 1.094045782771815e-05, + "loss": 3.8537, + "step": 5464 + }, + { + "epoch": 0.7, + "learning_rate": 1.0931887988845294e-05, + "loss": 3.9039, + "step": 5465 + }, + { + "epoch": 0.7, + "learning_rate": 1.0923320568443972e-05, + "loss": 3.9346, + "step": 5466 + }, + { + "epoch": 0.7, + "learning_rate": 1.091475556798704e-05, + "loss": 3.9543, + "step": 5467 + }, + { + "epoch": 0.7, + "learning_rate": 1.0906192988946923e-05, + "loss": 3.9419, + "step": 5468 + }, + { + "epoch": 0.7, + "learning_rate": 1.0897632832795617e-05, + "loss": 3.8695, + "step": 5469 + }, + { + "epoch": 0.7, + "learning_rate": 1.088907510100472e-05, + "loss": 3.8894, + "step": 5470 + }, + { + "epoch": 0.7, + "learning_rate": 1.08805197950454e-05, + "loss": 3.8841, + "step": 5471 + }, + { + "epoch": 0.7, + "learning_rate": 1.0871966916388416e-05, + "loss": 3.8362, + "step": 5472 + }, + { + "epoch": 0.7, + "learning_rate": 1.0863416466504092e-05, + "loss": 3.8774, + "step": 5473 + }, + { + "epoch": 0.7, + "learning_rate": 1.0854868446862373e-05, + "loss": 4.032, + "step": 5474 + }, + { + "epoch": 0.7, + "learning_rate": 1.0846322858932756e-05, + "loss": 3.8839, + "step": 5475 + }, + { + "epoch": 0.7, + "learning_rate": 1.0837779704184311e-05, + "loss": 3.9787, + "step": 5476 + }, + { + "epoch": 0.7, + "learning_rate": 1.0829238984085726e-05, + "loss": 3.9722, + "step": 5477 + }, + { + "epoch": 0.7, + "learning_rate": 1.0820700700105243e-05, + "loss": 3.967, + "step": 5478 + }, + { + "epoch": 0.7, + "learning_rate": 1.0812164853710688e-05, + "loss": 3.8947, + "step": 5479 + }, + { + "epoch": 0.7, + "learning_rate": 1.0803631446369478e-05, + "loss": 3.9788, + "step": 5480 + }, + { + "epoch": 0.7, + "learning_rate": 1.0795100479548587e-05, + "loss": 3.8962, + "step": 5481 + }, + { + "epoch": 0.7, + "learning_rate": 1.0786571954714614e-05, + "loss": 3.9238, + "step": 5482 + }, + { + "epoch": 0.7, + "learning_rate": 1.0778045873333695e-05, + "loss": 3.9202, + "step": 5483 + }, + { + "epoch": 0.7, + "learning_rate": 1.0769522236871569e-05, + "loss": 3.8114, + "step": 5484 + }, + { + "epoch": 0.7, + "learning_rate": 1.076100104679354e-05, + "loss": 3.9708, + "step": 5485 + }, + { + "epoch": 0.7, + "learning_rate": 1.0752482304564496e-05, + "loss": 3.909, + "step": 5486 + }, + { + "epoch": 0.7, + "learning_rate": 1.0743966011648927e-05, + "loss": 3.879, + "step": 5487 + }, + { + "epoch": 0.7, + "learning_rate": 1.0735452169510859e-05, + "loss": 3.9242, + "step": 5488 + }, + { + "epoch": 0.7, + "learning_rate": 1.0726940779613943e-05, + "loss": 3.7274, + "step": 5489 + }, + { + "epoch": 0.7, + "learning_rate": 1.071843184342137e-05, + "loss": 3.9463, + "step": 5490 + }, + { + "epoch": 0.7, + "learning_rate": 1.0709925362395934e-05, + "loss": 3.8841, + "step": 5491 + }, + { + "epoch": 0.7, + "learning_rate": 1.070142133799999e-05, + "loss": 3.9276, + "step": 5492 + }, + { + "epoch": 0.7, + "learning_rate": 1.0692919771695483e-05, + "loss": 3.9642, + "step": 5493 + }, + { + "epoch": 0.7, + "learning_rate": 1.068442066494392e-05, + "loss": 3.9843, + "step": 5494 + }, + { + "epoch": 0.7, + "learning_rate": 1.0675924019206416e-05, + "loss": 3.911, + "step": 5495 + }, + { + "epoch": 0.7, + "learning_rate": 1.0667429835943619e-05, + "loss": 4.06, + "step": 5496 + }, + { + "epoch": 0.7, + "learning_rate": 1.0658938116615803e-05, + "loss": 4.0598, + "step": 5497 + }, + { + "epoch": 0.7, + "learning_rate": 1.0650448862682777e-05, + "loss": 3.9111, + "step": 5498 + }, + { + "epoch": 0.7, + "learning_rate": 1.0641962075603949e-05, + "loss": 3.8548, + "step": 5499 + }, + { + "epoch": 0.7, + "learning_rate": 1.0633477756838292e-05, + "loss": 3.8095, + "step": 5500 + }, + { + "epoch": 0.7, + "learning_rate": 1.062499590784436e-05, + "loss": 4.0034, + "step": 5501 + }, + { + "epoch": 0.7, + "learning_rate": 1.061651653008027e-05, + "loss": 3.8922, + "step": 5502 + }, + { + "epoch": 0.7, + "learning_rate": 1.0608039625003746e-05, + "loss": 3.7982, + "step": 5503 + }, + { + "epoch": 0.7, + "learning_rate": 1.0599565194072047e-05, + "loss": 4.0913, + "step": 5504 + }, + { + "epoch": 0.7, + "learning_rate": 1.0591093238742047e-05, + "loss": 3.8718, + "step": 5505 + }, + { + "epoch": 0.7, + "learning_rate": 1.0582623760470158e-05, + "loss": 3.9476, + "step": 5506 + }, + { + "epoch": 0.7, + "learning_rate": 1.057415676071239e-05, + "loss": 3.8665, + "step": 5507 + }, + { + "epoch": 0.71, + "learning_rate": 1.0565692240924308e-05, + "loss": 3.9509, + "step": 5508 + }, + { + "epoch": 0.71, + "learning_rate": 1.0557230202561061e-05, + "loss": 3.9365, + "step": 5509 + }, + { + "epoch": 0.71, + "learning_rate": 1.0548770647077385e-05, + "loss": 3.8311, + "step": 5510 + }, + { + "epoch": 0.71, + "learning_rate": 1.054031357592757e-05, + "loss": 3.8686, + "step": 5511 + }, + { + "epoch": 0.71, + "learning_rate": 1.0531858990565477e-05, + "loss": 3.883, + "step": 5512 + }, + { + "epoch": 0.71, + "learning_rate": 1.0523406892444548e-05, + "loss": 3.9888, + "step": 5513 + }, + { + "epoch": 0.71, + "learning_rate": 1.051495728301781e-05, + "loss": 3.8057, + "step": 5514 + }, + { + "epoch": 0.71, + "learning_rate": 1.050651016373784e-05, + "loss": 3.8428, + "step": 5515 + }, + { + "epoch": 0.71, + "learning_rate": 1.0498065536056794e-05, + "loss": 3.97, + "step": 5516 + }, + { + "epoch": 0.71, + "learning_rate": 1.0489623401426396e-05, + "loss": 3.9594, + "step": 5517 + }, + { + "epoch": 0.71, + "learning_rate": 1.048118376129796e-05, + "loss": 3.9471, + "step": 5518 + }, + { + "epoch": 0.71, + "learning_rate": 1.0472746617122355e-05, + "loss": 3.888, + "step": 5519 + }, + { + "epoch": 0.71, + "learning_rate": 1.0464311970350022e-05, + "loss": 3.7195, + "step": 5520 + }, + { + "epoch": 0.71, + "learning_rate": 1.045587982243097e-05, + "loss": 3.8878, + "step": 5521 + }, + { + "epoch": 0.71, + "learning_rate": 1.0447450174814787e-05, + "loss": 3.8933, + "step": 5522 + }, + { + "epoch": 0.71, + "learning_rate": 1.043902302895062e-05, + "loss": 3.8611, + "step": 5523 + }, + { + "epoch": 0.71, + "learning_rate": 1.04305983862872e-05, + "loss": 3.8009, + "step": 5524 + }, + { + "epoch": 0.71, + "learning_rate": 1.0422176248272825e-05, + "loss": 4.0004, + "step": 5525 + }, + { + "epoch": 0.71, + "learning_rate": 1.0413756616355359e-05, + "loss": 3.8785, + "step": 5526 + }, + { + "epoch": 0.71, + "learning_rate": 1.0405339491982225e-05, + "loss": 3.7687, + "step": 5527 + }, + { + "epoch": 0.71, + "learning_rate": 1.0396924876600427e-05, + "loss": 3.9629, + "step": 5528 + }, + { + "epoch": 0.71, + "learning_rate": 1.0388512771656539e-05, + "loss": 3.9193, + "step": 5529 + }, + { + "epoch": 0.71, + "learning_rate": 1.0380103178596688e-05, + "loss": 4.0128, + "step": 5530 + }, + { + "epoch": 0.71, + "learning_rate": 1.0371696098866595e-05, + "loss": 3.9819, + "step": 5531 + }, + { + "epoch": 0.71, + "learning_rate": 1.0363291533911523e-05, + "loss": 3.8585, + "step": 5532 + }, + { + "epoch": 0.71, + "learning_rate": 1.0354889485176328e-05, + "loss": 3.9321, + "step": 5533 + }, + { + "epoch": 0.71, + "learning_rate": 1.034648995410541e-05, + "loss": 3.878, + "step": 5534 + }, + { + "epoch": 0.71, + "learning_rate": 1.0338092942142746e-05, + "loss": 4.0581, + "step": 5535 + }, + { + "epoch": 0.71, + "learning_rate": 1.0329698450731881e-05, + "loss": 3.8852, + "step": 5536 + }, + { + "epoch": 0.71, + "learning_rate": 1.0321306481315925e-05, + "loss": 3.8895, + "step": 5537 + }, + { + "epoch": 0.71, + "learning_rate": 1.0312917035337546e-05, + "loss": 3.8969, + "step": 5538 + }, + { + "epoch": 0.71, + "learning_rate": 1.0304530114239008e-05, + "loss": 3.9215, + "step": 5539 + }, + { + "epoch": 0.71, + "learning_rate": 1.0296145719462106e-05, + "loss": 3.812, + "step": 5540 + }, + { + "epoch": 0.71, + "learning_rate": 1.0287763852448207e-05, + "loss": 3.9735, + "step": 5541 + }, + { + "epoch": 0.71, + "learning_rate": 1.0279384514638269e-05, + "loss": 3.8432, + "step": 5542 + }, + { + "epoch": 0.71, + "learning_rate": 1.0271007707472788e-05, + "loss": 3.892, + "step": 5543 + }, + { + "epoch": 0.71, + "learning_rate": 1.0262633432391838e-05, + "loss": 3.8677, + "step": 5544 + }, + { + "epoch": 0.71, + "learning_rate": 1.025426169083504e-05, + "loss": 3.9016, + "step": 5545 + }, + { + "epoch": 0.71, + "learning_rate": 1.0245892484241615e-05, + "loss": 3.9162, + "step": 5546 + }, + { + "epoch": 0.71, + "learning_rate": 1.0237525814050316e-05, + "loss": 3.8871, + "step": 5547 + }, + { + "epoch": 0.71, + "learning_rate": 1.022916168169947e-05, + "loss": 3.8678, + "step": 5548 + }, + { + "epoch": 0.71, + "learning_rate": 1.0220800088626969e-05, + "loss": 3.8344, + "step": 5549 + }, + { + "epoch": 0.71, + "learning_rate": 1.021244103627027e-05, + "loss": 3.9296, + "step": 5550 + }, + { + "epoch": 0.71, + "learning_rate": 1.0204084526066379e-05, + "loss": 3.8939, + "step": 5551 + }, + { + "epoch": 0.71, + "learning_rate": 1.0195730559451894e-05, + "loss": 3.8095, + "step": 5552 + }, + { + "epoch": 0.71, + "learning_rate": 1.0187379137862946e-05, + "loss": 3.9184, + "step": 5553 + }, + { + "epoch": 0.71, + "learning_rate": 1.0179030262735254e-05, + "loss": 3.9592, + "step": 5554 + }, + { + "epoch": 0.71, + "learning_rate": 1.0170683935504078e-05, + "loss": 3.9462, + "step": 5555 + }, + { + "epoch": 0.71, + "learning_rate": 1.0162340157604253e-05, + "loss": 3.8554, + "step": 5556 + }, + { + "epoch": 0.71, + "learning_rate": 1.0153998930470166e-05, + "loss": 3.9091, + "step": 5557 + }, + { + "epoch": 0.71, + "learning_rate": 1.0145660255535772e-05, + "loss": 3.9581, + "step": 5558 + }, + { + "epoch": 0.71, + "learning_rate": 1.0137324134234577e-05, + "loss": 3.9681, + "step": 5559 + }, + { + "epoch": 0.71, + "learning_rate": 1.0128990567999666e-05, + "loss": 3.8765, + "step": 5560 + }, + { + "epoch": 0.71, + "learning_rate": 1.0120659558263687e-05, + "loss": 3.9933, + "step": 5561 + }, + { + "epoch": 0.71, + "learning_rate": 1.0112331106458826e-05, + "loss": 3.9427, + "step": 5562 + }, + { + "epoch": 0.71, + "learning_rate": 1.0104005214016837e-05, + "loss": 3.9344, + "step": 5563 + }, + { + "epoch": 0.71, + "learning_rate": 1.0095681882369043e-05, + "loss": 4.0153, + "step": 5564 + }, + { + "epoch": 0.71, + "learning_rate": 1.008736111294632e-05, + "loss": 3.9626, + "step": 5565 + }, + { + "epoch": 0.71, + "learning_rate": 1.0079042907179093e-05, + "loss": 3.8989, + "step": 5566 + }, + { + "epoch": 0.71, + "learning_rate": 1.0070727266497379e-05, + "loss": 3.8502, + "step": 5567 + }, + { + "epoch": 0.71, + "learning_rate": 1.0062414192330723e-05, + "loss": 3.894, + "step": 5568 + }, + { + "epoch": 0.71, + "learning_rate": 1.005410368610823e-05, + "loss": 4.0106, + "step": 5569 + }, + { + "epoch": 0.71, + "learning_rate": 1.004579574925859e-05, + "loss": 3.9183, + "step": 5570 + }, + { + "epoch": 0.71, + "learning_rate": 1.0037490383210024e-05, + "loss": 4.026, + "step": 5571 + }, + { + "epoch": 0.71, + "learning_rate": 1.002918758939032e-05, + "loss": 4.073, + "step": 5572 + }, + { + "epoch": 0.71, + "learning_rate": 1.002088736922683e-05, + "loss": 3.895, + "step": 5573 + }, + { + "epoch": 0.71, + "learning_rate": 1.0012589724146444e-05, + "loss": 3.9958, + "step": 5574 + }, + { + "epoch": 0.71, + "learning_rate": 1.000429465557564e-05, + "loss": 3.9486, + "step": 5575 + }, + { + "epoch": 0.71, + "learning_rate": 9.99600216494043e-06, + "loss": 4.0591, + "step": 5576 + }, + { + "epoch": 0.71, + "learning_rate": 9.98771225366639e-06, + "loss": 3.9509, + "step": 5577 + }, + { + "epoch": 0.71, + "learning_rate": 9.979424923178643e-06, + "loss": 3.9319, + "step": 5578 + }, + { + "epoch": 0.71, + "learning_rate": 9.971140174901891e-06, + "loss": 3.7769, + "step": 5579 + }, + { + "epoch": 0.71, + "learning_rate": 9.962858010260375e-06, + "loss": 3.7882, + "step": 5580 + }, + { + "epoch": 0.71, + "learning_rate": 9.954578430677882e-06, + "loss": 3.889, + "step": 5581 + }, + { + "epoch": 0.71, + "learning_rate": 9.94630143757779e-06, + "loss": 4.0428, + "step": 5582 + }, + { + "epoch": 0.71, + "learning_rate": 9.938027032382995e-06, + "loss": 4.0127, + "step": 5583 + }, + { + "epoch": 0.71, + "learning_rate": 9.929755216515971e-06, + "loss": 3.9383, + "step": 5584 + }, + { + "epoch": 0.71, + "learning_rate": 9.92148599139873e-06, + "loss": 3.9343, + "step": 5585 + }, + { + "epoch": 0.72, + "learning_rate": 9.913219358452855e-06, + "loss": 3.979, + "step": 5586 + }, + { + "epoch": 0.72, + "learning_rate": 9.904955319099462e-06, + "loss": 3.7227, + "step": 5587 + }, + { + "epoch": 0.72, + "learning_rate": 9.896693874759258e-06, + "loss": 3.8746, + "step": 5588 + }, + { + "epoch": 0.72, + "learning_rate": 9.888435026852458e-06, + "loss": 3.9393, + "step": 5589 + }, + { + "epoch": 0.72, + "learning_rate": 9.880178776798877e-06, + "loss": 3.9177, + "step": 5590 + }, + { + "epoch": 0.72, + "learning_rate": 9.871925126017845e-06, + "loss": 3.8413, + "step": 5591 + }, + { + "epoch": 0.72, + "learning_rate": 9.863674075928266e-06, + "loss": 3.7718, + "step": 5592 + }, + { + "epoch": 0.72, + "learning_rate": 9.855425627948586e-06, + "loss": 4.0254, + "step": 5593 + }, + { + "epoch": 0.72, + "learning_rate": 9.847179783496815e-06, + "loss": 3.8371, + "step": 5594 + }, + { + "epoch": 0.72, + "learning_rate": 9.838936543990495e-06, + "loss": 4.044, + "step": 5595 + }, + { + "epoch": 0.72, + "learning_rate": 9.830695910846755e-06, + "loss": 3.9127, + "step": 5596 + }, + { + "epoch": 0.72, + "learning_rate": 9.822457885482236e-06, + "loss": 3.9448, + "step": 5597 + }, + { + "epoch": 0.72, + "learning_rate": 9.814222469313167e-06, + "loss": 3.876, + "step": 5598 + }, + { + "epoch": 0.72, + "learning_rate": 9.805989663755308e-06, + "loss": 3.8848, + "step": 5599 + }, + { + "epoch": 0.72, + "learning_rate": 9.797759470223967e-06, + "loss": 3.9005, + "step": 5600 + }, + { + "epoch": 0.72, + "learning_rate": 9.789531890134012e-06, + "loss": 3.9432, + "step": 5601 + }, + { + "epoch": 0.72, + "learning_rate": 9.781306924899853e-06, + "loss": 3.9653, + "step": 5602 + }, + { + "epoch": 0.72, + "learning_rate": 9.773084575935471e-06, + "loss": 3.8115, + "step": 5603 + }, + { + "epoch": 0.72, + "learning_rate": 9.764864844654379e-06, + "loss": 3.9829, + "step": 5604 + }, + { + "epoch": 0.72, + "learning_rate": 9.756647732469636e-06, + "loss": 3.7589, + "step": 5605 + }, + { + "epoch": 0.72, + "learning_rate": 9.748433240793859e-06, + "loss": 4.0633, + "step": 5606 + }, + { + "epoch": 0.72, + "learning_rate": 9.740221371039226e-06, + "loss": 3.9988, + "step": 5607 + }, + { + "epoch": 0.72, + "learning_rate": 9.732012124617448e-06, + "loss": 3.9507, + "step": 5608 + }, + { + "epoch": 0.72, + "learning_rate": 9.723805502939787e-06, + "loss": 4.0298, + "step": 5609 + }, + { + "epoch": 0.72, + "learning_rate": 9.715601507417047e-06, + "loss": 3.9367, + "step": 5610 + }, + { + "epoch": 0.72, + "learning_rate": 9.70740013945961e-06, + "loss": 3.7922, + "step": 5611 + }, + { + "epoch": 0.72, + "learning_rate": 9.699201400477374e-06, + "loss": 3.8119, + "step": 5612 + }, + { + "epoch": 0.72, + "learning_rate": 9.691005291879801e-06, + "loss": 3.9017, + "step": 5613 + }, + { + "epoch": 0.72, + "learning_rate": 9.682811815075895e-06, + "loss": 3.8842, + "step": 5614 + }, + { + "epoch": 0.72, + "learning_rate": 9.674620971474202e-06, + "loss": 3.8028, + "step": 5615 + }, + { + "epoch": 0.72, + "learning_rate": 9.666432762482839e-06, + "loss": 3.9166, + "step": 5616 + }, + { + "epoch": 0.72, + "learning_rate": 9.658247189509436e-06, + "loss": 3.7918, + "step": 5617 + }, + { + "epoch": 0.72, + "learning_rate": 9.650064253961209e-06, + "loss": 3.9893, + "step": 5618 + }, + { + "epoch": 0.72, + "learning_rate": 9.641883957244888e-06, + "loss": 3.9158, + "step": 5619 + }, + { + "epoch": 0.72, + "learning_rate": 9.63370630076676e-06, + "loss": 4.01, + "step": 5620 + }, + { + "epoch": 0.72, + "learning_rate": 9.625531285932659e-06, + "loss": 4.0884, + "step": 5621 + }, + { + "epoch": 0.72, + "learning_rate": 9.61735891414797e-06, + "loss": 3.8634, + "step": 5622 + }, + { + "epoch": 0.72, + "learning_rate": 9.609189186817605e-06, + "loss": 3.9406, + "step": 5623 + }, + { + "epoch": 0.72, + "learning_rate": 9.60102210534605e-06, + "loss": 3.9464, + "step": 5624 + }, + { + "epoch": 0.72, + "learning_rate": 9.59285767113731e-06, + "loss": 4.0131, + "step": 5625 + }, + { + "epoch": 0.72, + "learning_rate": 9.584695885594957e-06, + "loss": 3.9589, + "step": 5626 + }, + { + "epoch": 0.72, + "learning_rate": 9.576536750122094e-06, + "loss": 3.7878, + "step": 5627 + }, + { + "epoch": 0.72, + "learning_rate": 9.568380266121365e-06, + "loss": 3.8734, + "step": 5628 + }, + { + "epoch": 0.72, + "learning_rate": 9.560226434994971e-06, + "loss": 3.8872, + "step": 5629 + }, + { + "epoch": 0.72, + "learning_rate": 9.55207525814464e-06, + "loss": 3.9551, + "step": 5630 + }, + { + "epoch": 0.72, + "learning_rate": 9.543926736971656e-06, + "loss": 3.9148, + "step": 5631 + }, + { + "epoch": 0.72, + "learning_rate": 9.535780872876857e-06, + "loss": 4.0325, + "step": 5632 + }, + { + "epoch": 0.72, + "learning_rate": 9.5276376672606e-06, + "loss": 3.9248, + "step": 5633 + }, + { + "epoch": 0.72, + "learning_rate": 9.519497121522791e-06, + "loss": 3.9403, + "step": 5634 + }, + { + "epoch": 0.72, + "learning_rate": 9.5113592370629e-06, + "loss": 4.0105, + "step": 5635 + }, + { + "epoch": 0.72, + "learning_rate": 9.503224015279915e-06, + "loss": 3.9308, + "step": 5636 + }, + { + "epoch": 0.72, + "learning_rate": 9.49509145757238e-06, + "loss": 3.9332, + "step": 5637 + }, + { + "epoch": 0.72, + "learning_rate": 9.486961565338359e-06, + "loss": 3.9387, + "step": 5638 + }, + { + "epoch": 0.72, + "learning_rate": 9.478834339975497e-06, + "loss": 3.9278, + "step": 5639 + }, + { + "epoch": 0.72, + "learning_rate": 9.470709782880952e-06, + "loss": 3.9415, + "step": 5640 + }, + { + "epoch": 0.72, + "learning_rate": 9.462587895451425e-06, + "loss": 3.935, + "step": 5641 + }, + { + "epoch": 0.72, + "learning_rate": 9.454468679083161e-06, + "loss": 3.9145, + "step": 5642 + }, + { + "epoch": 0.72, + "learning_rate": 9.446352135171944e-06, + "loss": 3.7709, + "step": 5643 + }, + { + "epoch": 0.72, + "learning_rate": 9.438238265113116e-06, + "loss": 3.8806, + "step": 5644 + }, + { + "epoch": 0.72, + "learning_rate": 9.430127070301531e-06, + "loss": 4.0286, + "step": 5645 + }, + { + "epoch": 0.72, + "learning_rate": 9.422018552131611e-06, + "loss": 3.9975, + "step": 5646 + }, + { + "epoch": 0.72, + "learning_rate": 9.413912711997297e-06, + "loss": 3.9772, + "step": 5647 + }, + { + "epoch": 0.72, + "learning_rate": 9.405809551292077e-06, + "loss": 3.8347, + "step": 5648 + }, + { + "epoch": 0.72, + "learning_rate": 9.39770907140898e-06, + "loss": 3.9999, + "step": 5649 + }, + { + "epoch": 0.72, + "learning_rate": 9.38961127374057e-06, + "loss": 3.9301, + "step": 5650 + }, + { + "epoch": 0.72, + "learning_rate": 9.381516159678955e-06, + "loss": 3.8343, + "step": 5651 + }, + { + "epoch": 0.72, + "learning_rate": 9.373423730615765e-06, + "loss": 4.0192, + "step": 5652 + }, + { + "epoch": 0.72, + "learning_rate": 9.3653339879422e-06, + "loss": 3.8477, + "step": 5653 + }, + { + "epoch": 0.72, + "learning_rate": 9.357246933048977e-06, + "loss": 4.0603, + "step": 5654 + }, + { + "epoch": 0.72, + "learning_rate": 9.349162567326355e-06, + "loss": 3.8812, + "step": 5655 + }, + { + "epoch": 0.72, + "learning_rate": 9.341080892164131e-06, + "loss": 4.0107, + "step": 5656 + }, + { + "epoch": 0.72, + "learning_rate": 9.333001908951633e-06, + "loss": 3.925, + "step": 5657 + }, + { + "epoch": 0.72, + "learning_rate": 9.324925619077732e-06, + "loss": 4.158, + "step": 5658 + }, + { + "epoch": 0.72, + "learning_rate": 9.316852023930833e-06, + "loss": 3.7207, + "step": 5659 + }, + { + "epoch": 0.72, + "learning_rate": 9.308781124898894e-06, + "loss": 3.8652, + "step": 5660 + }, + { + "epoch": 0.72, + "learning_rate": 9.300712923369386e-06, + "loss": 3.8695, + "step": 5661 + }, + { + "epoch": 0.72, + "learning_rate": 9.29264742072932e-06, + "loss": 3.6915, + "step": 5662 + }, + { + "epoch": 0.72, + "learning_rate": 9.284584618365267e-06, + "loss": 4.0129, + "step": 5663 + }, + { + "epoch": 0.72, + "learning_rate": 9.276524517663307e-06, + "loss": 3.9686, + "step": 5664 + }, + { + "epoch": 0.73, + "learning_rate": 9.268467120009064e-06, + "loss": 3.8776, + "step": 5665 + }, + { + "epoch": 0.73, + "learning_rate": 9.260412426787691e-06, + "loss": 3.9382, + "step": 5666 + }, + { + "epoch": 0.73, + "learning_rate": 9.252360439383898e-06, + "loss": 3.8809, + "step": 5667 + }, + { + "epoch": 0.73, + "learning_rate": 9.244311159181906e-06, + "loss": 3.8983, + "step": 5668 + }, + { + "epoch": 0.73, + "learning_rate": 9.236264587565485e-06, + "loss": 3.9995, + "step": 5669 + }, + { + "epoch": 0.73, + "learning_rate": 9.22822072591793e-06, + "loss": 3.8431, + "step": 5670 + }, + { + "epoch": 0.73, + "learning_rate": 9.220179575622066e-06, + "loss": 4.0773, + "step": 5671 + }, + { + "epoch": 0.73, + "learning_rate": 9.212141138060273e-06, + "loss": 4.0205, + "step": 5672 + }, + { + "epoch": 0.73, + "learning_rate": 9.20410541461445e-06, + "loss": 4.0284, + "step": 5673 + }, + { + "epoch": 0.73, + "learning_rate": 9.19607240666602e-06, + "loss": 3.8692, + "step": 5674 + }, + { + "epoch": 0.73, + "learning_rate": 9.188042115595966e-06, + "loss": 3.8733, + "step": 5675 + }, + { + "epoch": 0.73, + "learning_rate": 9.18001454278478e-06, + "loss": 3.9796, + "step": 5676 + }, + { + "epoch": 0.73, + "learning_rate": 9.171989689612495e-06, + "loss": 3.903, + "step": 5677 + }, + { + "epoch": 0.73, + "learning_rate": 9.163967557458675e-06, + "loss": 3.7769, + "step": 5678 + }, + { + "epoch": 0.73, + "learning_rate": 9.15594814770242e-06, + "loss": 3.7987, + "step": 5679 + }, + { + "epoch": 0.73, + "learning_rate": 9.147931461722351e-06, + "loss": 3.9415, + "step": 5680 + }, + { + "epoch": 0.73, + "learning_rate": 9.139917500896635e-06, + "loss": 3.9063, + "step": 5681 + }, + { + "epoch": 0.73, + "learning_rate": 9.131906266602978e-06, + "loss": 3.899, + "step": 5682 + }, + { + "epoch": 0.73, + "learning_rate": 9.123897760218588e-06, + "loss": 3.9598, + "step": 5683 + }, + { + "epoch": 0.73, + "learning_rate": 9.115891983120228e-06, + "loss": 3.9028, + "step": 5684 + }, + { + "epoch": 0.73, + "learning_rate": 9.10788893668418e-06, + "loss": 3.9269, + "step": 5685 + }, + { + "epoch": 0.73, + "learning_rate": 9.099888622286263e-06, + "loss": 3.919, + "step": 5686 + }, + { + "epoch": 0.73, + "learning_rate": 9.091891041301808e-06, + "loss": 3.8928, + "step": 5687 + }, + { + "epoch": 0.73, + "learning_rate": 9.083896195105718e-06, + "loss": 3.8455, + "step": 5688 + }, + { + "epoch": 0.73, + "learning_rate": 9.075904085072376e-06, + "loss": 3.8756, + "step": 5689 + }, + { + "epoch": 0.73, + "learning_rate": 9.06791471257574e-06, + "loss": 3.8993, + "step": 5690 + }, + { + "epoch": 0.73, + "learning_rate": 9.059928078989266e-06, + "loss": 4.054, + "step": 5691 + }, + { + "epoch": 0.73, + "learning_rate": 9.051944185685949e-06, + "loss": 3.8574, + "step": 5692 + }, + { + "epoch": 0.73, + "learning_rate": 9.043963034038311e-06, + "loss": 3.8805, + "step": 5693 + }, + { + "epoch": 0.73, + "learning_rate": 9.035984625418405e-06, + "loss": 3.9922, + "step": 5694 + }, + { + "epoch": 0.73, + "learning_rate": 9.028008961197804e-06, + "loss": 3.9291, + "step": 5695 + }, + { + "epoch": 0.73, + "learning_rate": 9.020036042747637e-06, + "loss": 3.9319, + "step": 5696 + }, + { + "epoch": 0.73, + "learning_rate": 9.012065871438527e-06, + "loss": 3.9805, + "step": 5697 + }, + { + "epoch": 0.73, + "learning_rate": 9.004098448640643e-06, + "loss": 3.8279, + "step": 5698 + }, + { + "epoch": 0.73, + "learning_rate": 8.996133775723666e-06, + "loss": 3.9603, + "step": 5699 + }, + { + "epoch": 0.73, + "learning_rate": 8.988171854056838e-06, + "loss": 3.8912, + "step": 5700 + }, + { + "epoch": 0.73, + "learning_rate": 8.98021268500889e-06, + "loss": 3.8737, + "step": 5701 + }, + { + "epoch": 0.73, + "learning_rate": 8.97225626994809e-06, + "loss": 3.8757, + "step": 5702 + }, + { + "epoch": 0.73, + "learning_rate": 8.964302610242256e-06, + "loss": 3.8547, + "step": 5703 + }, + { + "epoch": 0.73, + "learning_rate": 8.956351707258706e-06, + "loss": 3.8095, + "step": 5704 + }, + { + "epoch": 0.73, + "learning_rate": 8.948403562364292e-06, + "loss": 3.9729, + "step": 5705 + }, + { + "epoch": 0.73, + "learning_rate": 8.94045817692539e-06, + "loss": 4.0081, + "step": 5706 + }, + { + "epoch": 0.73, + "learning_rate": 8.932515552307905e-06, + "loss": 3.9085, + "step": 5707 + }, + { + "epoch": 0.73, + "learning_rate": 8.92457568987726e-06, + "loss": 3.7969, + "step": 5708 + }, + { + "epoch": 0.73, + "learning_rate": 8.916638590998424e-06, + "loss": 3.9816, + "step": 5709 + }, + { + "epoch": 0.73, + "learning_rate": 8.90870425703586e-06, + "loss": 3.9288, + "step": 5710 + }, + { + "epoch": 0.73, + "learning_rate": 8.90077268935359e-06, + "loss": 3.9211, + "step": 5711 + }, + { + "epoch": 0.73, + "learning_rate": 8.892843889315133e-06, + "loss": 3.9309, + "step": 5712 + }, + { + "epoch": 0.73, + "learning_rate": 8.884917858283539e-06, + "loss": 4.0518, + "step": 5713 + }, + { + "epoch": 0.73, + "learning_rate": 8.87699459762139e-06, + "loss": 3.9159, + "step": 5714 + }, + { + "epoch": 0.73, + "learning_rate": 8.869074108690783e-06, + "loss": 3.8305, + "step": 5715 + }, + { + "epoch": 0.73, + "learning_rate": 8.861156392853334e-06, + "loss": 3.9506, + "step": 5716 + }, + { + "epoch": 0.73, + "learning_rate": 8.853241451470198e-06, + "loss": 3.8841, + "step": 5717 + }, + { + "epoch": 0.73, + "learning_rate": 8.845329285902054e-06, + "loss": 3.8512, + "step": 5718 + }, + { + "epoch": 0.73, + "learning_rate": 8.837419897509085e-06, + "loss": 3.9729, + "step": 5719 + }, + { + "epoch": 0.73, + "learning_rate": 8.829513287651011e-06, + "loss": 3.8981, + "step": 5720 + }, + { + "epoch": 0.73, + "learning_rate": 8.821609457687069e-06, + "loss": 3.8889, + "step": 5721 + }, + { + "epoch": 0.73, + "learning_rate": 8.813708408976015e-06, + "loss": 4.1067, + "step": 5722 + }, + { + "epoch": 0.73, + "learning_rate": 8.805810142876122e-06, + "loss": 3.8396, + "step": 5723 + }, + { + "epoch": 0.73, + "learning_rate": 8.797914660745219e-06, + "loss": 3.8838, + "step": 5724 + }, + { + "epoch": 0.73, + "learning_rate": 8.790021963940612e-06, + "loss": 3.9524, + "step": 5725 + }, + { + "epoch": 0.73, + "learning_rate": 8.782132053819145e-06, + "loss": 3.9727, + "step": 5726 + }, + { + "epoch": 0.73, + "learning_rate": 8.774244931737196e-06, + "loss": 3.8777, + "step": 5727 + }, + { + "epoch": 0.73, + "learning_rate": 8.766360599050655e-06, + "loss": 4.097, + "step": 5728 + }, + { + "epoch": 0.73, + "learning_rate": 8.758479057114918e-06, + "loss": 3.8573, + "step": 5729 + }, + { + "epoch": 0.73, + "learning_rate": 8.750600307284922e-06, + "loss": 4.0445, + "step": 5730 + }, + { + "epoch": 0.73, + "learning_rate": 8.742724350915102e-06, + "loss": 4.0714, + "step": 5731 + }, + { + "epoch": 0.73, + "learning_rate": 8.734851189359448e-06, + "loss": 3.9334, + "step": 5732 + }, + { + "epoch": 0.73, + "learning_rate": 8.726980823971433e-06, + "loss": 3.9108, + "step": 5733 + }, + { + "epoch": 0.73, + "learning_rate": 8.719113256104069e-06, + "loss": 3.9096, + "step": 5734 + }, + { + "epoch": 0.73, + "learning_rate": 8.71124848710988e-06, + "loss": 3.913, + "step": 5735 + }, + { + "epoch": 0.73, + "learning_rate": 8.703386518340903e-06, + "loss": 4.0265, + "step": 5736 + }, + { + "epoch": 0.73, + "learning_rate": 8.695527351148718e-06, + "loss": 3.9746, + "step": 5737 + }, + { + "epoch": 0.73, + "learning_rate": 8.687670986884395e-06, + "loss": 3.9121, + "step": 5738 + }, + { + "epoch": 0.73, + "learning_rate": 8.67981742689854e-06, + "loss": 3.9449, + "step": 5739 + }, + { + "epoch": 0.73, + "learning_rate": 8.671966672541273e-06, + "loss": 4.0213, + "step": 5740 + }, + { + "epoch": 0.73, + "learning_rate": 8.664118725162226e-06, + "loss": 3.9287, + "step": 5741 + }, + { + "epoch": 0.73, + "learning_rate": 8.65627358611055e-06, + "loss": 4.1506, + "step": 5742 + }, + { + "epoch": 0.74, + "learning_rate": 8.648431256734919e-06, + "loss": 3.8459, + "step": 5743 + }, + { + "epoch": 0.74, + "learning_rate": 8.640591738383508e-06, + "loss": 3.9964, + "step": 5744 + }, + { + "epoch": 0.74, + "learning_rate": 8.632755032404042e-06, + "loss": 3.9632, + "step": 5745 + }, + { + "epoch": 0.74, + "learning_rate": 8.62492114014372e-06, + "loss": 3.7625, + "step": 5746 + }, + { + "epoch": 0.74, + "learning_rate": 8.617090062949303e-06, + "loss": 3.9305, + "step": 5747 + }, + { + "epoch": 0.74, + "learning_rate": 8.609261802167029e-06, + "loss": 3.9957, + "step": 5748 + }, + { + "epoch": 0.74, + "learning_rate": 8.60143635914267e-06, + "loss": 3.8984, + "step": 5749 + }, + { + "epoch": 0.74, + "learning_rate": 8.593613735221506e-06, + "loss": 4.002, + "step": 5750 + }, + { + "epoch": 0.74, + "learning_rate": 8.585793931748342e-06, + "loss": 3.8609, + "step": 5751 + }, + { + "epoch": 0.74, + "learning_rate": 8.577976950067484e-06, + "loss": 3.9816, + "step": 5752 + }, + { + "epoch": 0.74, + "learning_rate": 8.570162791522776e-06, + "loss": 4.097, + "step": 5753 + }, + { + "epoch": 0.74, + "learning_rate": 8.562351457457549e-06, + "loss": 3.9534, + "step": 5754 + }, + { + "epoch": 0.74, + "learning_rate": 8.554542949214673e-06, + "loss": 3.8881, + "step": 5755 + }, + { + "epoch": 0.74, + "learning_rate": 8.546737268136518e-06, + "loss": 4.0254, + "step": 5756 + }, + { + "epoch": 0.74, + "learning_rate": 8.538934415564967e-06, + "loss": 3.9177, + "step": 5757 + }, + { + "epoch": 0.74, + "learning_rate": 8.531134392841425e-06, + "loss": 4.0912, + "step": 5758 + }, + { + "epoch": 0.74, + "learning_rate": 8.523337201306797e-06, + "loss": 3.8973, + "step": 5759 + }, + { + "epoch": 0.74, + "learning_rate": 8.515542842301524e-06, + "loss": 3.7266, + "step": 5760 + }, + { + "epoch": 0.74, + "learning_rate": 8.50775131716554e-06, + "loss": 3.9852, + "step": 5761 + }, + { + "epoch": 0.74, + "learning_rate": 8.499962627238303e-06, + "loss": 3.8885, + "step": 5762 + }, + { + "epoch": 0.74, + "learning_rate": 8.492176773858764e-06, + "loss": 3.9062, + "step": 5763 + }, + { + "epoch": 0.74, + "learning_rate": 8.484393758365422e-06, + "loss": 3.9734, + "step": 5764 + }, + { + "epoch": 0.74, + "learning_rate": 8.476613582096257e-06, + "loss": 3.969, + "step": 5765 + }, + { + "epoch": 0.74, + "learning_rate": 8.468836246388773e-06, + "loss": 3.9898, + "step": 5766 + }, + { + "epoch": 0.74, + "learning_rate": 8.461061752579977e-06, + "loss": 3.8919, + "step": 5767 + }, + { + "epoch": 0.74, + "learning_rate": 8.45329010200641e-06, + "loss": 3.8058, + "step": 5768 + }, + { + "epoch": 0.74, + "learning_rate": 8.4455212960041e-06, + "loss": 3.8251, + "step": 5769 + }, + { + "epoch": 0.74, + "learning_rate": 8.437755335908592e-06, + "loss": 3.9403, + "step": 5770 + }, + { + "epoch": 0.74, + "learning_rate": 8.429992223054953e-06, + "loss": 4.0043, + "step": 5771 + }, + { + "epoch": 0.74, + "learning_rate": 8.422231958777744e-06, + "loss": 4.013, + "step": 5772 + }, + { + "epoch": 0.74, + "learning_rate": 8.414474544411038e-06, + "loss": 3.9698, + "step": 5773 + }, + { + "epoch": 0.74, + "learning_rate": 8.406719981288436e-06, + "loss": 3.9793, + "step": 5774 + }, + { + "epoch": 0.74, + "learning_rate": 8.398968270743041e-06, + "loss": 3.9319, + "step": 5775 + }, + { + "epoch": 0.74, + "learning_rate": 8.391219414107456e-06, + "loss": 3.8954, + "step": 5776 + }, + { + "epoch": 0.74, + "learning_rate": 8.383473412713801e-06, + "loss": 3.9524, + "step": 5777 + }, + { + "epoch": 0.74, + "learning_rate": 8.375730267893703e-06, + "loss": 3.7958, + "step": 5778 + }, + { + "epoch": 0.74, + "learning_rate": 8.367989980978294e-06, + "loss": 3.9961, + "step": 5779 + }, + { + "epoch": 0.74, + "learning_rate": 8.360252553298215e-06, + "loss": 3.841, + "step": 5780 + }, + { + "epoch": 0.74, + "learning_rate": 8.352517986183637e-06, + "loss": 3.9963, + "step": 5781 + }, + { + "epoch": 0.74, + "learning_rate": 8.344786280964198e-06, + "loss": 3.8791, + "step": 5782 + }, + { + "epoch": 0.74, + "learning_rate": 8.337057438969093e-06, + "loss": 3.8629, + "step": 5783 + }, + { + "epoch": 0.74, + "learning_rate": 8.329331461526987e-06, + "loss": 3.9758, + "step": 5784 + }, + { + "epoch": 0.74, + "learning_rate": 8.321608349966065e-06, + "loss": 3.9307, + "step": 5785 + }, + { + "epoch": 0.74, + "learning_rate": 8.31388810561402e-06, + "loss": 3.8871, + "step": 5786 + }, + { + "epoch": 0.74, + "learning_rate": 8.306170729798054e-06, + "loss": 3.8844, + "step": 5787 + }, + { + "epoch": 0.74, + "learning_rate": 8.298456223844862e-06, + "loss": 3.8698, + "step": 5788 + }, + { + "epoch": 0.74, + "learning_rate": 8.290744589080673e-06, + "loss": 3.9942, + "step": 5789 + }, + { + "epoch": 0.74, + "learning_rate": 8.2830358268312e-06, + "loss": 3.8833, + "step": 5790 + }, + { + "epoch": 0.74, + "learning_rate": 8.275329938421657e-06, + "loss": 3.9957, + "step": 5791 + }, + { + "epoch": 0.74, + "learning_rate": 8.2676269251768e-06, + "loss": 3.8467, + "step": 5792 + }, + { + "epoch": 0.74, + "learning_rate": 8.259926788420849e-06, + "loss": 3.8559, + "step": 5793 + }, + { + "epoch": 0.74, + "learning_rate": 8.252229529477554e-06, + "loss": 3.8062, + "step": 5794 + }, + { + "epoch": 0.74, + "learning_rate": 8.244535149670149e-06, + "loss": 3.8081, + "step": 5795 + }, + { + "epoch": 0.74, + "learning_rate": 8.236843650321407e-06, + "loss": 3.9806, + "step": 5796 + }, + { + "epoch": 0.74, + "learning_rate": 8.229155032753578e-06, + "loss": 3.847, + "step": 5797 + }, + { + "epoch": 0.74, + "learning_rate": 8.22146929828842e-06, + "loss": 4.05, + "step": 5798 + }, + { + "epoch": 0.74, + "learning_rate": 8.213786448247204e-06, + "loss": 3.9953, + "step": 5799 + }, + { + "epoch": 0.74, + "learning_rate": 8.206106483950693e-06, + "loss": 3.9805, + "step": 5800 + }, + { + "epoch": 0.74, + "learning_rate": 8.198429406719177e-06, + "loss": 3.9092, + "step": 5801 + }, + { + "epoch": 0.74, + "learning_rate": 8.190755217872425e-06, + "loss": 4.1061, + "step": 5802 + }, + { + "epoch": 0.74, + "learning_rate": 8.183083918729714e-06, + "loss": 4.0466, + "step": 5803 + }, + { + "epoch": 0.74, + "learning_rate": 8.175415510609844e-06, + "loss": 3.8979, + "step": 5804 + }, + { + "epoch": 0.74, + "learning_rate": 8.167749994831091e-06, + "loss": 3.8299, + "step": 5805 + }, + { + "epoch": 0.74, + "learning_rate": 8.160087372711256e-06, + "loss": 3.8789, + "step": 5806 + }, + { + "epoch": 0.74, + "learning_rate": 8.152427645567623e-06, + "loss": 3.9136, + "step": 5807 + }, + { + "epoch": 0.74, + "learning_rate": 8.144770814716992e-06, + "loss": 3.8328, + "step": 5808 + }, + { + "epoch": 0.74, + "learning_rate": 8.137116881475654e-06, + "loss": 3.9696, + "step": 5809 + }, + { + "epoch": 0.74, + "learning_rate": 8.129465847159414e-06, + "loss": 3.9153, + "step": 5810 + }, + { + "epoch": 0.74, + "learning_rate": 8.121817713083584e-06, + "loss": 3.9509, + "step": 5811 + }, + { + "epoch": 0.74, + "learning_rate": 8.114172480562956e-06, + "loss": 3.9288, + "step": 5812 + }, + { + "epoch": 0.74, + "learning_rate": 8.106530150911837e-06, + "loss": 3.8116, + "step": 5813 + }, + { + "epoch": 0.74, + "learning_rate": 8.098890725444033e-06, + "loss": 3.8382, + "step": 5814 + }, + { + "epoch": 0.74, + "learning_rate": 8.091254205472845e-06, + "loss": 3.7763, + "step": 5815 + }, + { + "epoch": 0.74, + "learning_rate": 8.083620592311075e-06, + "loss": 3.9671, + "step": 5816 + }, + { + "epoch": 0.74, + "learning_rate": 8.075989887271043e-06, + "loss": 3.9024, + "step": 5817 + }, + { + "epoch": 0.74, + "learning_rate": 8.068362091664552e-06, + "loss": 3.9532, + "step": 5818 + }, + { + "epoch": 0.74, + "learning_rate": 8.060737206802896e-06, + "loss": 3.8577, + "step": 5819 + }, + { + "epoch": 0.74, + "learning_rate": 8.053115233996899e-06, + "loss": 4.0167, + "step": 5820 + }, + { + "epoch": 0.75, + "learning_rate": 8.04549617455686e-06, + "loss": 3.8193, + "step": 5821 + }, + { + "epoch": 0.75, + "learning_rate": 8.037880029792583e-06, + "loss": 3.9689, + "step": 5822 + }, + { + "epoch": 0.75, + "learning_rate": 8.030266801013366e-06, + "loss": 3.9694, + "step": 5823 + }, + { + "epoch": 0.75, + "learning_rate": 8.022656489528013e-06, + "loss": 3.9683, + "step": 5824 + }, + { + "epoch": 0.75, + "learning_rate": 8.015049096644834e-06, + "loss": 3.9497, + "step": 5825 + }, + { + "epoch": 0.75, + "learning_rate": 8.00744462367162e-06, + "loss": 3.9259, + "step": 5826 + }, + { + "epoch": 0.75, + "learning_rate": 7.999843071915672e-06, + "loss": 3.9216, + "step": 5827 + }, + { + "epoch": 0.75, + "learning_rate": 7.992244442683772e-06, + "loss": 3.9209, + "step": 5828 + }, + { + "epoch": 0.75, + "learning_rate": 7.984648737282232e-06, + "loss": 3.995, + "step": 5829 + }, + { + "epoch": 0.75, + "learning_rate": 7.977055957016835e-06, + "loss": 3.9491, + "step": 5830 + }, + { + "epoch": 0.75, + "learning_rate": 7.969466103192858e-06, + "loss": 3.8575, + "step": 5831 + }, + { + "epoch": 0.75, + "learning_rate": 7.961879177115097e-06, + "loss": 3.9144, + "step": 5832 + }, + { + "epoch": 0.75, + "learning_rate": 7.954295180087831e-06, + "loss": 3.8368, + "step": 5833 + }, + { + "epoch": 0.75, + "learning_rate": 7.946714113414835e-06, + "loss": 3.9072, + "step": 5834 + }, + { + "epoch": 0.75, + "learning_rate": 7.939135978399381e-06, + "loss": 3.9792, + "step": 5835 + }, + { + "epoch": 0.75, + "learning_rate": 7.931560776344237e-06, + "loss": 3.9311, + "step": 5836 + }, + { + "epoch": 0.75, + "learning_rate": 7.923988508551664e-06, + "loss": 4.0661, + "step": 5837 + }, + { + "epoch": 0.75, + "learning_rate": 7.916419176323428e-06, + "loss": 3.9619, + "step": 5838 + }, + { + "epoch": 0.75, + "learning_rate": 7.908852780960793e-06, + "loss": 3.9241, + "step": 5839 + }, + { + "epoch": 0.75, + "learning_rate": 7.901289323764502e-06, + "loss": 3.9116, + "step": 5840 + }, + { + "epoch": 0.75, + "learning_rate": 7.893728806034803e-06, + "loss": 3.7319, + "step": 5841 + }, + { + "epoch": 0.75, + "learning_rate": 7.886171229071434e-06, + "loss": 3.9393, + "step": 5842 + }, + { + "epoch": 0.75, + "learning_rate": 7.878616594173633e-06, + "loss": 3.8983, + "step": 5843 + }, + { + "epoch": 0.75, + "learning_rate": 7.871064902640125e-06, + "loss": 3.9159, + "step": 5844 + }, + { + "epoch": 0.75, + "learning_rate": 7.86351615576913e-06, + "loss": 3.9213, + "step": 5845 + }, + { + "epoch": 0.75, + "learning_rate": 7.855970354858377e-06, + "loss": 3.9176, + "step": 5846 + }, + { + "epoch": 0.75, + "learning_rate": 7.848427501205063e-06, + "loss": 3.8465, + "step": 5847 + }, + { + "epoch": 0.75, + "learning_rate": 7.840887596105909e-06, + "loss": 3.8453, + "step": 5848 + }, + { + "epoch": 0.75, + "learning_rate": 7.833350640857102e-06, + "loss": 3.9207, + "step": 5849 + }, + { + "epoch": 0.75, + "learning_rate": 7.825816636754332e-06, + "loss": 4.058, + "step": 5850 + }, + { + "epoch": 0.75, + "learning_rate": 7.818285585092782e-06, + "loss": 3.8075, + "step": 5851 + }, + { + "epoch": 0.75, + "learning_rate": 7.810757487167122e-06, + "loss": 3.9289, + "step": 5852 + }, + { + "epoch": 0.75, + "learning_rate": 7.803232344271533e-06, + "loss": 3.9144, + "step": 5853 + }, + { + "epoch": 0.75, + "learning_rate": 7.795710157699662e-06, + "loss": 3.8635, + "step": 5854 + }, + { + "epoch": 0.75, + "learning_rate": 7.788190928744668e-06, + "loss": 3.9848, + "step": 5855 + }, + { + "epoch": 0.75, + "learning_rate": 7.78067465869918e-06, + "loss": 4.0597, + "step": 5856 + }, + { + "epoch": 0.75, + "learning_rate": 7.773161348855348e-06, + "loss": 4.041, + "step": 5857 + }, + { + "epoch": 0.75, + "learning_rate": 7.765651000504795e-06, + "loss": 3.7939, + "step": 5858 + }, + { + "epoch": 0.75, + "learning_rate": 7.75814361493862e-06, + "loss": 3.9709, + "step": 5859 + }, + { + "epoch": 0.75, + "learning_rate": 7.750639193447453e-06, + "loss": 4.0556, + "step": 5860 + }, + { + "epoch": 0.75, + "learning_rate": 7.743137737321383e-06, + "loss": 3.8232, + "step": 5861 + }, + { + "epoch": 0.75, + "learning_rate": 7.73563924784999e-06, + "loss": 3.9514, + "step": 5862 + }, + { + "epoch": 0.75, + "learning_rate": 7.728143726322359e-06, + "loss": 3.9822, + "step": 5863 + }, + { + "epoch": 0.75, + "learning_rate": 7.720651174027052e-06, + "loss": 3.8631, + "step": 5864 + }, + { + "epoch": 0.75, + "learning_rate": 7.713161592252122e-06, + "loss": 3.9117, + "step": 5865 + }, + { + "epoch": 0.75, + "learning_rate": 7.705674982285127e-06, + "loss": 3.8836, + "step": 5866 + }, + { + "epoch": 0.75, + "learning_rate": 7.698191345413086e-06, + "loss": 3.8938, + "step": 5867 + }, + { + "epoch": 0.75, + "learning_rate": 7.690710682922541e-06, + "loss": 3.9985, + "step": 5868 + }, + { + "epoch": 0.75, + "learning_rate": 7.683232996099498e-06, + "loss": 3.8031, + "step": 5869 + }, + { + "epoch": 0.75, + "learning_rate": 7.675758286229457e-06, + "loss": 3.9262, + "step": 5870 + }, + { + "epoch": 0.75, + "learning_rate": 7.668286554597403e-06, + "loss": 3.921, + "step": 5871 + }, + { + "epoch": 0.75, + "learning_rate": 7.66081780248782e-06, + "loss": 3.9918, + "step": 5872 + }, + { + "epoch": 0.75, + "learning_rate": 7.65335203118466e-06, + "loss": 3.9945, + "step": 5873 + }, + { + "epoch": 0.75, + "learning_rate": 7.645889241971384e-06, + "loss": 3.8261, + "step": 5874 + }, + { + "epoch": 0.75, + "learning_rate": 7.638429436130945e-06, + "loss": 3.8941, + "step": 5875 + }, + { + "epoch": 0.75, + "learning_rate": 7.630972614945756e-06, + "loss": 3.9387, + "step": 5876 + }, + { + "epoch": 0.75, + "learning_rate": 7.623518779697733e-06, + "loss": 4.0205, + "step": 5877 + }, + { + "epoch": 0.75, + "learning_rate": 7.616067931668277e-06, + "loss": 3.8918, + "step": 5878 + }, + { + "epoch": 0.75, + "learning_rate": 7.608620072138278e-06, + "loss": 3.9953, + "step": 5879 + }, + { + "epoch": 0.75, + "learning_rate": 7.601175202388098e-06, + "loss": 3.9988, + "step": 5880 + }, + { + "epoch": 0.75, + "learning_rate": 7.5937333236976135e-06, + "loss": 3.9463, + "step": 5881 + }, + { + "epoch": 0.75, + "learning_rate": 7.586294437346158e-06, + "loss": 3.8908, + "step": 5882 + }, + { + "epoch": 0.75, + "learning_rate": 7.578858544612572e-06, + "loss": 3.8436, + "step": 5883 + }, + { + "epoch": 0.75, + "learning_rate": 7.571425646775151e-06, + "loss": 3.9146, + "step": 5884 + }, + { + "epoch": 0.75, + "learning_rate": 7.563995745111724e-06, + "loss": 4.0075, + "step": 5885 + }, + { + "epoch": 0.75, + "learning_rate": 7.556568840899561e-06, + "loss": 3.8827, + "step": 5886 + }, + { + "epoch": 0.75, + "learning_rate": 7.5491449354154336e-06, + "loss": 4.0059, + "step": 5887 + }, + { + "epoch": 0.75, + "learning_rate": 7.541724029935595e-06, + "loss": 3.8823, + "step": 5888 + }, + { + "epoch": 0.75, + "learning_rate": 7.5343061257357964e-06, + "loss": 3.8912, + "step": 5889 + }, + { + "epoch": 0.75, + "learning_rate": 7.526891224091254e-06, + "loss": 3.9144, + "step": 5890 + }, + { + "epoch": 0.75, + "learning_rate": 7.519479326276677e-06, + "loss": 4.0533, + "step": 5891 + }, + { + "epoch": 0.75, + "learning_rate": 7.512070433566254e-06, + "loss": 3.9798, + "step": 5892 + }, + { + "epoch": 0.75, + "learning_rate": 7.5046645472336555e-06, + "loss": 3.8609, + "step": 5893 + }, + { + "epoch": 0.75, + "learning_rate": 7.49726166855205e-06, + "loss": 3.8349, + "step": 5894 + }, + { + "epoch": 0.75, + "learning_rate": 7.489861798794065e-06, + "loss": 3.9532, + "step": 5895 + }, + { + "epoch": 0.75, + "learning_rate": 7.482464939231842e-06, + "loss": 3.9825, + "step": 5896 + }, + { + "epoch": 0.75, + "learning_rate": 7.475071091136973e-06, + "loss": 3.8662, + "step": 5897 + }, + { + "epoch": 0.75, + "learning_rate": 7.467680255780554e-06, + "loss": 3.762, + "step": 5898 + }, + { + "epoch": 0.76, + "learning_rate": 7.460292434433147e-06, + "loss": 3.878, + "step": 5899 + }, + { + "epoch": 0.76, + "learning_rate": 7.452907628364811e-06, + "loss": 3.9986, + "step": 5900 + }, + { + "epoch": 0.76, + "learning_rate": 7.445525838845077e-06, + "loss": 3.847, + "step": 5901 + }, + { + "epoch": 0.76, + "learning_rate": 7.43814706714295e-06, + "loss": 3.7526, + "step": 5902 + }, + { + "epoch": 0.76, + "learning_rate": 7.430771314526941e-06, + "loss": 3.9903, + "step": 5903 + }, + { + "epoch": 0.76, + "learning_rate": 7.423398582265026e-06, + "loss": 3.9268, + "step": 5904 + }, + { + "epoch": 0.76, + "learning_rate": 7.416028871624664e-06, + "loss": 3.8674, + "step": 5905 + }, + { + "epoch": 0.76, + "learning_rate": 7.408662183872786e-06, + "loss": 4.0106, + "step": 5906 + }, + { + "epoch": 0.76, + "learning_rate": 7.401298520275818e-06, + "loss": 4.0133, + "step": 5907 + }, + { + "epoch": 0.76, + "learning_rate": 7.393937882099656e-06, + "loss": 3.9362, + "step": 5908 + }, + { + "epoch": 0.76, + "learning_rate": 7.386580270609669e-06, + "loss": 3.8405, + "step": 5909 + }, + { + "epoch": 0.76, + "learning_rate": 7.379225687070734e-06, + "loss": 4.0144, + "step": 5910 + }, + { + "epoch": 0.76, + "learning_rate": 7.371874132747175e-06, + "loss": 3.9337, + "step": 5911 + }, + { + "epoch": 0.76, + "learning_rate": 7.364525608902823e-06, + "loss": 3.832, + "step": 5912 + }, + { + "epoch": 0.76, + "learning_rate": 7.357180116800966e-06, + "loss": 3.8603, + "step": 5913 + }, + { + "epoch": 0.76, + "learning_rate": 7.349837657704378e-06, + "loss": 3.9267, + "step": 5914 + }, + { + "epoch": 0.76, + "learning_rate": 7.3424982328753196e-06, + "loss": 4.0268, + "step": 5915 + }, + { + "epoch": 0.76, + "learning_rate": 7.335161843575506e-06, + "loss": 3.94, + "step": 5916 + }, + { + "epoch": 0.76, + "learning_rate": 7.327828491066169e-06, + "loss": 4.0133, + "step": 5917 + }, + { + "epoch": 0.76, + "learning_rate": 7.32049817660799e-06, + "loss": 3.8021, + "step": 5918 + }, + { + "epoch": 0.76, + "learning_rate": 7.313170901461131e-06, + "loss": 3.853, + "step": 5919 + }, + { + "epoch": 0.76, + "learning_rate": 7.305846666885235e-06, + "loss": 3.9475, + "step": 5920 + }, + { + "epoch": 0.76, + "learning_rate": 7.29852547413942e-06, + "loss": 3.9903, + "step": 5921 + }, + { + "epoch": 0.76, + "learning_rate": 7.291207324482297e-06, + "loss": 3.8828, + "step": 5922 + }, + { + "epoch": 0.76, + "learning_rate": 7.283892219171934e-06, + "loss": 3.8992, + "step": 5923 + }, + { + "epoch": 0.76, + "learning_rate": 7.27658015946587e-06, + "loss": 3.887, + "step": 5924 + }, + { + "epoch": 0.76, + "learning_rate": 7.269271146621154e-06, + "loss": 3.9188, + "step": 5925 + }, + { + "epoch": 0.76, + "learning_rate": 7.261965181894281e-06, + "loss": 4.0118, + "step": 5926 + }, + { + "epoch": 0.76, + "learning_rate": 7.254662266541229e-06, + "loss": 3.9021, + "step": 5927 + }, + { + "epoch": 0.76, + "learning_rate": 7.247362401817456e-06, + "loss": 3.981, + "step": 5928 + }, + { + "epoch": 0.76, + "learning_rate": 7.24006558897789e-06, + "loss": 3.9305, + "step": 5929 + }, + { + "epoch": 0.76, + "learning_rate": 7.2327718292769355e-06, + "loss": 3.9636, + "step": 5930 + }, + { + "epoch": 0.76, + "learning_rate": 7.225481123968475e-06, + "loss": 3.9885, + "step": 5931 + }, + { + "epoch": 0.76, + "learning_rate": 7.218193474305882e-06, + "loss": 3.9346, + "step": 5932 + }, + { + "epoch": 0.76, + "learning_rate": 7.210908881541969e-06, + "loss": 3.9252, + "step": 5933 + }, + { + "epoch": 0.76, + "learning_rate": 7.2036273469290535e-06, + "loss": 3.9453, + "step": 5934 + }, + { + "epoch": 0.76, + "learning_rate": 7.196348871718908e-06, + "loss": 3.9311, + "step": 5935 + }, + { + "epoch": 0.76, + "learning_rate": 7.18907345716279e-06, + "loss": 3.7442, + "step": 5936 + }, + { + "epoch": 0.76, + "learning_rate": 7.181801104511418e-06, + "loss": 4.0123, + "step": 5937 + }, + { + "epoch": 0.76, + "learning_rate": 7.174531815015009e-06, + "loss": 3.8929, + "step": 5938 + }, + { + "epoch": 0.76, + "learning_rate": 7.167265589923227e-06, + "loss": 3.9086, + "step": 5939 + }, + { + "epoch": 0.76, + "learning_rate": 7.160002430485229e-06, + "loss": 3.9232, + "step": 5940 + }, + { + "epoch": 0.76, + "learning_rate": 7.1527423379496365e-06, + "loss": 3.8913, + "step": 5941 + }, + { + "epoch": 0.76, + "learning_rate": 7.145485313564537e-06, + "loss": 3.836, + "step": 5942 + }, + { + "epoch": 0.76, + "learning_rate": 7.138231358577499e-06, + "loss": 3.7891, + "step": 5943 + }, + { + "epoch": 0.76, + "learning_rate": 7.13098047423556e-06, + "loss": 3.8925, + "step": 5944 + }, + { + "epoch": 0.76, + "learning_rate": 7.123732661785229e-06, + "loss": 3.9138, + "step": 5945 + }, + { + "epoch": 0.76, + "learning_rate": 7.116487922472498e-06, + "loss": 3.921, + "step": 5946 + }, + { + "epoch": 0.76, + "learning_rate": 7.109246257542818e-06, + "loss": 4.0055, + "step": 5947 + }, + { + "epoch": 0.76, + "learning_rate": 7.1020076682411065e-06, + "loss": 3.9809, + "step": 5948 + }, + { + "epoch": 0.76, + "learning_rate": 7.0947721558117745e-06, + "loss": 3.9764, + "step": 5949 + }, + { + "epoch": 0.76, + "learning_rate": 7.087539721498685e-06, + "loss": 3.8655, + "step": 5950 + }, + { + "epoch": 0.76, + "learning_rate": 7.080310366545176e-06, + "loss": 3.9259, + "step": 5951 + }, + { + "epoch": 0.76, + "learning_rate": 7.073084092194049e-06, + "loss": 3.9678, + "step": 5952 + }, + { + "epoch": 0.76, + "learning_rate": 7.0658608996876045e-06, + "loss": 3.9932, + "step": 5953 + }, + { + "epoch": 0.76, + "learning_rate": 7.058640790267579e-06, + "loss": 3.8973, + "step": 5954 + }, + { + "epoch": 0.76, + "learning_rate": 7.051423765175194e-06, + "loss": 3.8456, + "step": 5955 + }, + { + "epoch": 0.76, + "learning_rate": 7.044209825651144e-06, + "loss": 4.002, + "step": 5956 + }, + { + "epoch": 0.76, + "learning_rate": 7.036998972935585e-06, + "loss": 3.9844, + "step": 5957 + }, + { + "epoch": 0.76, + "learning_rate": 7.029791208268141e-06, + "loss": 4.0588, + "step": 5958 + }, + { + "epoch": 0.76, + "learning_rate": 7.022586532887926e-06, + "loss": 4.1127, + "step": 5959 + }, + { + "epoch": 0.76, + "learning_rate": 7.015384948033487e-06, + "loss": 3.7729, + "step": 5960 + }, + { + "epoch": 0.76, + "learning_rate": 7.00818645494288e-06, + "loss": 3.9224, + "step": 5961 + }, + { + "epoch": 0.76, + "learning_rate": 7.0009910548536e-06, + "loss": 3.7051, + "step": 5962 + }, + { + "epoch": 0.76, + "learning_rate": 6.993798749002623e-06, + "loss": 4.0237, + "step": 5963 + }, + { + "epoch": 0.76, + "learning_rate": 6.986609538626385e-06, + "loss": 3.8403, + "step": 5964 + }, + { + "epoch": 0.76, + "learning_rate": 6.979423424960796e-06, + "loss": 3.8112, + "step": 5965 + }, + { + "epoch": 0.76, + "learning_rate": 6.972240409241223e-06, + "loss": 3.973, + "step": 5966 + }, + { + "epoch": 0.76, + "learning_rate": 6.965060492702524e-06, + "loss": 3.9176, + "step": 5967 + }, + { + "epoch": 0.76, + "learning_rate": 6.957883676579011e-06, + "loss": 3.9873, + "step": 5968 + }, + { + "epoch": 0.76, + "learning_rate": 6.950709962104454e-06, + "loss": 3.923, + "step": 5969 + }, + { + "epoch": 0.76, + "learning_rate": 6.943539350512101e-06, + "loss": 3.9089, + "step": 5970 + }, + { + "epoch": 0.76, + "learning_rate": 6.936371843034664e-06, + "loss": 3.9452, + "step": 5971 + }, + { + "epoch": 0.76, + "learning_rate": 6.929207440904317e-06, + "loss": 3.9274, + "step": 5972 + }, + { + "epoch": 0.76, + "learning_rate": 6.922046145352698e-06, + "loss": 3.8369, + "step": 5973 + }, + { + "epoch": 0.76, + "learning_rate": 6.91488795761093e-06, + "loss": 3.9397, + "step": 5974 + }, + { + "epoch": 0.76, + "learning_rate": 6.907732878909587e-06, + "loss": 3.994, + "step": 5975 + }, + { + "epoch": 0.76, + "learning_rate": 6.900580910478693e-06, + "loss": 3.9286, + "step": 5976 + }, + { + "epoch": 0.77, + "learning_rate": 6.89343205354778e-06, + "loss": 3.8345, + "step": 5977 + }, + { + "epoch": 0.77, + "learning_rate": 6.886286309345802e-06, + "loss": 3.9201, + "step": 5978 + }, + { + "epoch": 0.77, + "learning_rate": 6.879143679101202e-06, + "loss": 4.009, + "step": 5979 + }, + { + "epoch": 0.77, + "learning_rate": 6.872004164041879e-06, + "loss": 3.8282, + "step": 5980 + }, + { + "epoch": 0.77, + "learning_rate": 6.864867765395189e-06, + "loss": 3.9725, + "step": 5981 + }, + { + "epoch": 0.77, + "learning_rate": 6.8577344843879756e-06, + "loss": 3.9233, + "step": 5982 + }, + { + "epoch": 0.77, + "learning_rate": 6.850604322246532e-06, + "loss": 3.8486, + "step": 5983 + }, + { + "epoch": 0.77, + "learning_rate": 6.843477280196609e-06, + "loss": 3.8317, + "step": 5984 + }, + { + "epoch": 0.77, + "learning_rate": 6.836353359463424e-06, + "loss": 3.9739, + "step": 5985 + }, + { + "epoch": 0.77, + "learning_rate": 6.829232561271673e-06, + "loss": 3.9833, + "step": 5986 + }, + { + "epoch": 0.77, + "learning_rate": 6.822114886845498e-06, + "loss": 3.8174, + "step": 5987 + }, + { + "epoch": 0.77, + "learning_rate": 6.815000337408506e-06, + "loss": 3.9381, + "step": 5988 + }, + { + "epoch": 0.77, + "learning_rate": 6.80788891418378e-06, + "loss": 4.1042, + "step": 5989 + }, + { + "epoch": 0.77, + "learning_rate": 6.800780618393851e-06, + "loss": 3.9479, + "step": 5990 + }, + { + "epoch": 0.77, + "learning_rate": 6.7936754512607174e-06, + "loss": 3.8721, + "step": 5991 + }, + { + "epoch": 0.77, + "learning_rate": 6.786573414005839e-06, + "loss": 3.9536, + "step": 5992 + }, + { + "epoch": 0.77, + "learning_rate": 6.779474507850139e-06, + "loss": 3.9525, + "step": 5993 + }, + { + "epoch": 0.77, + "learning_rate": 6.772378734013993e-06, + "loss": 3.8525, + "step": 5994 + }, + { + "epoch": 0.77, + "learning_rate": 6.7652860937172655e-06, + "loss": 4.0255, + "step": 5995 + }, + { + "epoch": 0.77, + "learning_rate": 6.758196588179244e-06, + "loss": 3.9144, + "step": 5996 + }, + { + "epoch": 0.77, + "learning_rate": 6.751110218618714e-06, + "loss": 3.8215, + "step": 5997 + }, + { + "epoch": 0.77, + "learning_rate": 6.744026986253896e-06, + "loss": 3.8564, + "step": 5998 + }, + { + "epoch": 0.77, + "learning_rate": 6.7369468923024815e-06, + "loss": 3.8406, + "step": 5999 + }, + { + "epoch": 0.77, + "learning_rate": 6.72986993798162e-06, + "loss": 3.9896, + "step": 6000 + }, + { + "epoch": 0.77, + "learning_rate": 6.722796124507921e-06, + "loss": 3.8186, + "step": 6001 + }, + { + "epoch": 0.77, + "learning_rate": 6.715725453097446e-06, + "loss": 3.8918, + "step": 6002 + }, + { + "epoch": 0.77, + "learning_rate": 6.708657924965747e-06, + "loss": 3.8876, + "step": 6003 + }, + { + "epoch": 0.77, + "learning_rate": 6.701593541327791e-06, + "loss": 3.9299, + "step": 6004 + }, + { + "epoch": 0.77, + "learning_rate": 6.694532303398049e-06, + "loss": 3.9893, + "step": 6005 + }, + { + "epoch": 0.77, + "learning_rate": 6.687474212390419e-06, + "loss": 3.8664, + "step": 6006 + }, + { + "epoch": 0.77, + "learning_rate": 6.680419269518265e-06, + "loss": 3.9893, + "step": 6007 + }, + { + "epoch": 0.77, + "learning_rate": 6.673367475994421e-06, + "loss": 3.8436, + "step": 6008 + }, + { + "epoch": 0.77, + "learning_rate": 6.66631883303116e-06, + "loss": 3.9937, + "step": 6009 + }, + { + "epoch": 0.77, + "learning_rate": 6.659273341840241e-06, + "loss": 3.9006, + "step": 6010 + }, + { + "epoch": 0.77, + "learning_rate": 6.6522310036328585e-06, + "loss": 3.9709, + "step": 6011 + }, + { + "epoch": 0.77, + "learning_rate": 6.645191819619673e-06, + "loss": 3.8366, + "step": 6012 + }, + { + "epoch": 0.77, + "learning_rate": 6.638155791010792e-06, + "loss": 3.8362, + "step": 6013 + }, + { + "epoch": 0.77, + "learning_rate": 6.631122919015809e-06, + "loss": 3.892, + "step": 6014 + }, + { + "epoch": 0.77, + "learning_rate": 6.624093204843746e-06, + "loss": 3.885, + "step": 6015 + }, + { + "epoch": 0.77, + "learning_rate": 6.617066649703091e-06, + "loss": 3.9702, + "step": 6016 + }, + { + "epoch": 0.77, + "learning_rate": 6.610043254801784e-06, + "loss": 3.8987, + "step": 6017 + }, + { + "epoch": 0.77, + "learning_rate": 6.603023021347246e-06, + "loss": 3.8017, + "step": 6018 + }, + { + "epoch": 0.77, + "learning_rate": 6.596005950546328e-06, + "loss": 3.8979, + "step": 6019 + }, + { + "epoch": 0.77, + "learning_rate": 6.5889920436053405e-06, + "loss": 3.8009, + "step": 6020 + }, + { + "epoch": 0.77, + "learning_rate": 6.581981301730062e-06, + "loss": 3.9223, + "step": 6021 + }, + { + "epoch": 0.77, + "learning_rate": 6.57497372612571e-06, + "loss": 3.9068, + "step": 6022 + }, + { + "epoch": 0.77, + "learning_rate": 6.567969317996983e-06, + "loss": 3.8339, + "step": 6023 + }, + { + "epoch": 0.77, + "learning_rate": 6.560968078548005e-06, + "loss": 4.0098, + "step": 6024 + }, + { + "epoch": 0.77, + "learning_rate": 6.553970008982385e-06, + "loss": 3.8926, + "step": 6025 + }, + { + "epoch": 0.77, + "learning_rate": 6.5469751105031646e-06, + "loss": 3.8462, + "step": 6026 + }, + { + "epoch": 0.77, + "learning_rate": 6.539983384312851e-06, + "loss": 3.9723, + "step": 6027 + }, + { + "epoch": 0.77, + "learning_rate": 6.532994831613398e-06, + "loss": 4.0213, + "step": 6028 + }, + { + "epoch": 0.77, + "learning_rate": 6.526009453606224e-06, + "loss": 3.8847, + "step": 6029 + }, + { + "epoch": 0.77, + "learning_rate": 6.519027251492185e-06, + "loss": 3.9685, + "step": 6030 + }, + { + "epoch": 0.77, + "learning_rate": 6.512048226471618e-06, + "loss": 3.8903, + "step": 6031 + }, + { + "epoch": 0.77, + "learning_rate": 6.505072379744284e-06, + "loss": 3.9103, + "step": 6032 + }, + { + "epoch": 0.77, + "learning_rate": 6.498099712509429e-06, + "loss": 4.0047, + "step": 6033 + }, + { + "epoch": 0.77, + "learning_rate": 6.491130225965722e-06, + "loss": 3.8871, + "step": 6034 + }, + { + "epoch": 0.77, + "learning_rate": 6.484163921311306e-06, + "loss": 3.8179, + "step": 6035 + }, + { + "epoch": 0.77, + "learning_rate": 6.477200799743766e-06, + "loss": 3.9047, + "step": 6036 + }, + { + "epoch": 0.77, + "learning_rate": 6.470240862460142e-06, + "loss": 3.8272, + "step": 6037 + }, + { + "epoch": 0.77, + "learning_rate": 6.4632841106569196e-06, + "loss": 3.8658, + "step": 6038 + }, + { + "epoch": 0.77, + "learning_rate": 6.456330545530065e-06, + "loss": 4.0536, + "step": 6039 + }, + { + "epoch": 0.77, + "learning_rate": 6.449380168274965e-06, + "loss": 3.8174, + "step": 6040 + }, + { + "epoch": 0.77, + "learning_rate": 6.442432980086466e-06, + "loss": 3.9326, + "step": 6041 + }, + { + "epoch": 0.77, + "learning_rate": 6.43548898215888e-06, + "loss": 3.8083, + "step": 6042 + }, + { + "epoch": 0.77, + "learning_rate": 6.428548175685958e-06, + "loss": 4.0016, + "step": 6043 + }, + { + "epoch": 0.77, + "learning_rate": 6.421610561860902e-06, + "loss": 3.8839, + "step": 6044 + }, + { + "epoch": 0.77, + "learning_rate": 6.4146761418763635e-06, + "loss": 3.9435, + "step": 6045 + }, + { + "epoch": 0.77, + "learning_rate": 6.407744916924463e-06, + "loss": 3.9428, + "step": 6046 + }, + { + "epoch": 0.77, + "learning_rate": 6.4008168881967506e-06, + "loss": 3.7757, + "step": 6047 + }, + { + "epoch": 0.77, + "learning_rate": 6.3938920568842345e-06, + "loss": 3.9116, + "step": 6048 + }, + { + "epoch": 0.77, + "learning_rate": 6.386970424177377e-06, + "loss": 3.9593, + "step": 6049 + }, + { + "epoch": 0.77, + "learning_rate": 6.380051991266075e-06, + "loss": 4.0028, + "step": 6050 + }, + { + "epoch": 0.77, + "learning_rate": 6.373136759339704e-06, + "loss": 3.9684, + "step": 6051 + }, + { + "epoch": 0.77, + "learning_rate": 6.366224729587067e-06, + "loss": 3.7177, + "step": 6052 + }, + { + "epoch": 0.77, + "learning_rate": 6.359315903196411e-06, + "loss": 3.9443, + "step": 6053 + }, + { + "epoch": 0.77, + "learning_rate": 6.3524102813554615e-06, + "loss": 3.9051, + "step": 6054 + }, + { + "epoch": 0.78, + "learning_rate": 6.345507865251365e-06, + "loss": 3.8806, + "step": 6055 + }, + { + "epoch": 0.78, + "learning_rate": 6.338608656070727e-06, + "loss": 3.7598, + "step": 6056 + }, + { + "epoch": 0.78, + "learning_rate": 6.3317126549996025e-06, + "loss": 3.9424, + "step": 6057 + }, + { + "epoch": 0.78, + "learning_rate": 6.324819863223497e-06, + "loss": 3.9197, + "step": 6058 + }, + { + "epoch": 0.78, + "learning_rate": 6.317930281927348e-06, + "loss": 3.9955, + "step": 6059 + }, + { + "epoch": 0.78, + "learning_rate": 6.311043912295564e-06, + "loss": 3.8805, + "step": 6060 + }, + { + "epoch": 0.78, + "learning_rate": 6.304160755512003e-06, + "loss": 3.9723, + "step": 6061 + }, + { + "epoch": 0.78, + "learning_rate": 6.297280812759945e-06, + "loss": 3.9199, + "step": 6062 + }, + { + "epoch": 0.78, + "learning_rate": 6.290404085222141e-06, + "loss": 3.961, + "step": 6063 + }, + { + "epoch": 0.78, + "learning_rate": 6.283530574080771e-06, + "loss": 3.9441, + "step": 6064 + }, + { + "epoch": 0.78, + "learning_rate": 6.2766602805174765e-06, + "loss": 3.8603, + "step": 6065 + }, + { + "epoch": 0.78, + "learning_rate": 6.269793205713332e-06, + "loss": 3.9038, + "step": 6066 + }, + { + "epoch": 0.78, + "learning_rate": 6.262929350848881e-06, + "loss": 3.8017, + "step": 6067 + }, + { + "epoch": 0.78, + "learning_rate": 6.256068717104094e-06, + "loss": 3.9592, + "step": 6068 + }, + { + "epoch": 0.78, + "learning_rate": 6.249211305658384e-06, + "loss": 3.7785, + "step": 6069 + }, + { + "epoch": 0.78, + "learning_rate": 6.242357117690639e-06, + "loss": 3.8659, + "step": 6070 + }, + { + "epoch": 0.78, + "learning_rate": 6.2355061543791615e-06, + "loss": 3.85, + "step": 6071 + }, + { + "epoch": 0.78, + "learning_rate": 6.2286584169017116e-06, + "loss": 3.7926, + "step": 6072 + }, + { + "epoch": 0.78, + "learning_rate": 6.221813906435495e-06, + "loss": 3.8575, + "step": 6073 + }, + { + "epoch": 0.78, + "learning_rate": 6.214972624157159e-06, + "loss": 3.9856, + "step": 6074 + }, + { + "epoch": 0.78, + "learning_rate": 6.208134571242807e-06, + "loss": 3.7545, + "step": 6075 + }, + { + "epoch": 0.78, + "learning_rate": 6.201299748867981e-06, + "loss": 3.7863, + "step": 6076 + }, + { + "epoch": 0.78, + "learning_rate": 6.194468158207658e-06, + "loss": 3.8842, + "step": 6077 + }, + { + "epoch": 0.78, + "learning_rate": 6.187639800436265e-06, + "loss": 3.953, + "step": 6078 + }, + { + "epoch": 0.78, + "learning_rate": 6.180814676727689e-06, + "loss": 3.8585, + "step": 6079 + }, + { + "epoch": 0.78, + "learning_rate": 6.173992788255239e-06, + "loss": 4.0433, + "step": 6080 + }, + { + "epoch": 0.78, + "learning_rate": 6.167174136191675e-06, + "loss": 3.9111, + "step": 6081 + }, + { + "epoch": 0.78, + "learning_rate": 6.160358721709211e-06, + "loss": 3.8572, + "step": 6082 + }, + { + "epoch": 0.78, + "learning_rate": 6.153546545979491e-06, + "loss": 3.9819, + "step": 6083 + }, + { + "epoch": 0.78, + "learning_rate": 6.146737610173606e-06, + "loss": 3.8633, + "step": 6084 + }, + { + "epoch": 0.78, + "learning_rate": 6.139931915462091e-06, + "loss": 3.8053, + "step": 6085 + }, + { + "epoch": 0.78, + "learning_rate": 6.133129463014925e-06, + "loss": 3.9602, + "step": 6086 + }, + { + "epoch": 0.78, + "learning_rate": 6.126330254001522e-06, + "loss": 3.9477, + "step": 6087 + }, + { + "epoch": 0.78, + "learning_rate": 6.119534289590748e-06, + "loss": 3.8058, + "step": 6088 + }, + { + "epoch": 0.78, + "learning_rate": 6.11274157095092e-06, + "loss": 3.892, + "step": 6089 + }, + { + "epoch": 0.78, + "learning_rate": 6.105952099249776e-06, + "loss": 3.9238, + "step": 6090 + }, + { + "epoch": 0.78, + "learning_rate": 6.099165875654503e-06, + "loss": 3.8961, + "step": 6091 + }, + { + "epoch": 0.78, + "learning_rate": 6.092382901331734e-06, + "loss": 3.807, + "step": 6092 + }, + { + "epoch": 0.78, + "learning_rate": 6.085603177447541e-06, + "loss": 4.0316, + "step": 6093 + }, + { + "epoch": 0.78, + "learning_rate": 6.078826705167437e-06, + "loss": 3.8146, + "step": 6094 + }, + { + "epoch": 0.78, + "learning_rate": 6.0720534856563646e-06, + "loss": 3.9702, + "step": 6095 + }, + { + "epoch": 0.78, + "learning_rate": 6.065283520078732e-06, + "loss": 3.8256, + "step": 6096 + }, + { + "epoch": 0.78, + "learning_rate": 6.0585168095983805e-06, + "loss": 3.9927, + "step": 6097 + }, + { + "epoch": 0.78, + "learning_rate": 6.0517533553785785e-06, + "loss": 3.9086, + "step": 6098 + }, + { + "epoch": 0.78, + "learning_rate": 6.044993158582038e-06, + "loss": 3.9429, + "step": 6099 + }, + { + "epoch": 0.78, + "learning_rate": 6.038236220370921e-06, + "loss": 3.9371, + "step": 6100 + }, + { + "epoch": 0.78, + "learning_rate": 6.0314825419068215e-06, + "loss": 4.0385, + "step": 6101 + }, + { + "epoch": 0.78, + "learning_rate": 6.024732124350768e-06, + "loss": 3.8816, + "step": 6102 + }, + { + "epoch": 0.78, + "learning_rate": 6.01798496886325e-06, + "loss": 3.925, + "step": 6103 + }, + { + "epoch": 0.78, + "learning_rate": 6.011241076604174e-06, + "loss": 3.9178, + "step": 6104 + }, + { + "epoch": 0.78, + "learning_rate": 6.004500448732892e-06, + "loss": 3.9582, + "step": 6105 + }, + { + "epoch": 0.78, + "learning_rate": 5.9977630864081925e-06, + "loss": 3.8858, + "step": 6106 + }, + { + "epoch": 0.78, + "learning_rate": 5.991028990788317e-06, + "loss": 3.9113, + "step": 6107 + }, + { + "epoch": 0.78, + "learning_rate": 5.98429816303093e-06, + "loss": 3.8431, + "step": 6108 + }, + { + "epoch": 0.78, + "learning_rate": 5.977570604293128e-06, + "loss": 3.9569, + "step": 6109 + }, + { + "epoch": 0.78, + "learning_rate": 5.9708463157314765e-06, + "loss": 4.0089, + "step": 6110 + }, + { + "epoch": 0.78, + "learning_rate": 5.964125298501946e-06, + "loss": 3.8417, + "step": 6111 + }, + { + "epoch": 0.78, + "learning_rate": 5.957407553759961e-06, + "loss": 3.8427, + "step": 6112 + }, + { + "epoch": 0.78, + "learning_rate": 5.950693082660377e-06, + "loss": 4.0025, + "step": 6113 + }, + { + "epoch": 0.78, + "learning_rate": 5.943981886357491e-06, + "loss": 3.7532, + "step": 6114 + }, + { + "epoch": 0.78, + "learning_rate": 5.937273966005028e-06, + "loss": 3.9665, + "step": 6115 + }, + { + "epoch": 0.78, + "learning_rate": 5.930569322756172e-06, + "loss": 3.8448, + "step": 6116 + }, + { + "epoch": 0.78, + "learning_rate": 5.923867957763513e-06, + "loss": 3.9463, + "step": 6117 + }, + { + "epoch": 0.78, + "learning_rate": 5.91716987217911e-06, + "loss": 3.9285, + "step": 6118 + }, + { + "epoch": 0.78, + "learning_rate": 5.910475067154431e-06, + "loss": 3.9171, + "step": 6119 + }, + { + "epoch": 0.78, + "learning_rate": 5.903783543840394e-06, + "loss": 3.8305, + "step": 6120 + }, + { + "epoch": 0.78, + "learning_rate": 5.8970953033873484e-06, + "loss": 3.8518, + "step": 6121 + }, + { + "epoch": 0.78, + "learning_rate": 5.89041034694508e-06, + "loss": 3.8891, + "step": 6122 + }, + { + "epoch": 0.78, + "learning_rate": 5.883728675662803e-06, + "loss": 3.7407, + "step": 6123 + }, + { + "epoch": 0.78, + "learning_rate": 5.8770502906891815e-06, + "loss": 3.8592, + "step": 6124 + }, + { + "epoch": 0.78, + "learning_rate": 5.870375193172314e-06, + "loss": 3.9495, + "step": 6125 + }, + { + "epoch": 0.78, + "learning_rate": 5.863703384259722e-06, + "loss": 3.9362, + "step": 6126 + }, + { + "epoch": 0.78, + "learning_rate": 5.857034865098366e-06, + "loss": 3.8308, + "step": 6127 + }, + { + "epoch": 0.78, + "learning_rate": 5.850369636834638e-06, + "loss": 3.8227, + "step": 6128 + }, + { + "epoch": 0.78, + "learning_rate": 5.84370770061437e-06, + "loss": 3.8358, + "step": 6129 + }, + { + "epoch": 0.78, + "learning_rate": 5.837049057582822e-06, + "loss": 3.9024, + "step": 6130 + }, + { + "epoch": 0.78, + "learning_rate": 5.8303937088847045e-06, + "loss": 3.8318, + "step": 6131 + }, + { + "epoch": 0.78, + "learning_rate": 5.8237416556641414e-06, + "loss": 4.0171, + "step": 6132 + }, + { + "epoch": 0.79, + "learning_rate": 5.817092899064691e-06, + "loss": 4.0213, + "step": 6133 + }, + { + "epoch": 0.79, + "learning_rate": 5.810447440229366e-06, + "loss": 3.8816, + "step": 6134 + }, + { + "epoch": 0.79, + "learning_rate": 5.803805280300589e-06, + "loss": 3.894, + "step": 6135 + }, + { + "epoch": 0.79, + "learning_rate": 5.797166420420227e-06, + "loss": 3.8888, + "step": 6136 + }, + { + "epoch": 0.79, + "learning_rate": 5.7905308617295765e-06, + "loss": 3.9137, + "step": 6137 + }, + { + "epoch": 0.79, + "learning_rate": 5.783898605369356e-06, + "loss": 3.8943, + "step": 6138 + }, + { + "epoch": 0.79, + "learning_rate": 5.777269652479747e-06, + "loss": 3.8847, + "step": 6139 + }, + { + "epoch": 0.79, + "learning_rate": 5.770644004200332e-06, + "loss": 3.8727, + "step": 6140 + }, + { + "epoch": 0.79, + "learning_rate": 5.764021661670141e-06, + "loss": 3.8266, + "step": 6141 + }, + { + "epoch": 0.79, + "learning_rate": 5.757402626027624e-06, + "loss": 3.9178, + "step": 6142 + }, + { + "epoch": 0.79, + "learning_rate": 5.7507868984106735e-06, + "loss": 3.8507, + "step": 6143 + }, + { + "epoch": 0.79, + "learning_rate": 5.7441744799566156e-06, + "loss": 4.0327, + "step": 6144 + }, + { + "epoch": 0.79, + "learning_rate": 5.737565371802189e-06, + "loss": 3.849, + "step": 6145 + }, + { + "epoch": 0.79, + "learning_rate": 5.730959575083594e-06, + "loss": 3.8633, + "step": 6146 + }, + { + "epoch": 0.79, + "learning_rate": 5.724357090936433e-06, + "loss": 3.8058, + "step": 6147 + }, + { + "epoch": 0.79, + "learning_rate": 5.71775792049575e-06, + "loss": 3.8442, + "step": 6148 + }, + { + "epoch": 0.79, + "learning_rate": 5.7111620648960195e-06, + "loss": 3.8674, + "step": 6149 + }, + { + "epoch": 0.79, + "learning_rate": 5.704569525271147e-06, + "loss": 3.7514, + "step": 6150 + }, + { + "epoch": 0.79, + "learning_rate": 5.6979803027544576e-06, + "loss": 3.9394, + "step": 6151 + }, + { + "epoch": 0.79, + "learning_rate": 5.691394398478727e-06, + "loss": 3.9291, + "step": 6152 + }, + { + "epoch": 0.79, + "learning_rate": 5.684811813576138e-06, + "loss": 3.9679, + "step": 6153 + }, + { + "epoch": 0.79, + "learning_rate": 5.678232549178328e-06, + "loss": 4.0012, + "step": 6154 + }, + { + "epoch": 0.79, + "learning_rate": 5.671656606416337e-06, + "loss": 3.881, + "step": 6155 + }, + { + "epoch": 0.79, + "learning_rate": 5.66508398642065e-06, + "loss": 3.9487, + "step": 6156 + }, + { + "epoch": 0.79, + "learning_rate": 5.658514690321176e-06, + "loss": 3.9435, + "step": 6157 + }, + { + "epoch": 0.79, + "learning_rate": 5.651948719247252e-06, + "loss": 3.739, + "step": 6158 + }, + { + "epoch": 0.79, + "learning_rate": 5.6453860743276386e-06, + "loss": 3.9875, + "step": 6159 + }, + { + "epoch": 0.79, + "learning_rate": 5.63882675669054e-06, + "loss": 3.8659, + "step": 6160 + }, + { + "epoch": 0.79, + "learning_rate": 5.632270767463574e-06, + "loss": 3.9816, + "step": 6161 + }, + { + "epoch": 0.79, + "learning_rate": 5.6257181077737975e-06, + "loss": 3.8869, + "step": 6162 + }, + { + "epoch": 0.79, + "learning_rate": 5.619168778747686e-06, + "loss": 3.9551, + "step": 6163 + }, + { + "epoch": 0.79, + "learning_rate": 5.612622781511143e-06, + "loss": 3.9978, + "step": 6164 + }, + { + "epoch": 0.79, + "learning_rate": 5.606080117189499e-06, + "loss": 3.908, + "step": 6165 + }, + { + "epoch": 0.79, + "learning_rate": 5.599540786907512e-06, + "loss": 3.9927, + "step": 6166 + }, + { + "epoch": 0.79, + "learning_rate": 5.59300479178938e-06, + "loss": 3.8398, + "step": 6167 + }, + { + "epoch": 0.79, + "learning_rate": 5.586472132958709e-06, + "loss": 3.834, + "step": 6168 + }, + { + "epoch": 0.79, + "learning_rate": 5.579942811538539e-06, + "loss": 3.9355, + "step": 6169 + }, + { + "epoch": 0.79, + "learning_rate": 5.573416828651329e-06, + "loss": 3.9891, + "step": 6170 + }, + { + "epoch": 0.79, + "learning_rate": 5.566894185418986e-06, + "loss": 3.9658, + "step": 6171 + }, + { + "epoch": 0.79, + "learning_rate": 5.560374882962821e-06, + "loss": 3.9289, + "step": 6172 + }, + { + "epoch": 0.79, + "learning_rate": 5.553858922403577e-06, + "loss": 3.8536, + "step": 6173 + }, + { + "epoch": 0.79, + "learning_rate": 5.547346304861414e-06, + "loss": 3.9598, + "step": 6174 + }, + { + "epoch": 0.79, + "learning_rate": 5.540837031455945e-06, + "loss": 3.9472, + "step": 6175 + }, + { + "epoch": 0.79, + "learning_rate": 5.534331103306182e-06, + "loss": 4.0652, + "step": 6176 + }, + { + "epoch": 0.79, + "learning_rate": 5.527828521530562e-06, + "loss": 3.9244, + "step": 6177 + }, + { + "epoch": 0.79, + "learning_rate": 5.521329287246965e-06, + "loss": 3.8241, + "step": 6178 + }, + { + "epoch": 0.79, + "learning_rate": 5.514833401572678e-06, + "loss": 3.8443, + "step": 6179 + }, + { + "epoch": 0.79, + "learning_rate": 5.508340865624415e-06, + "loss": 3.8501, + "step": 6180 + }, + { + "epoch": 0.79, + "learning_rate": 5.501851680518322e-06, + "loss": 3.9749, + "step": 6181 + }, + { + "epoch": 0.79, + "learning_rate": 5.495365847369974e-06, + "loss": 4.0739, + "step": 6182 + }, + { + "epoch": 0.79, + "learning_rate": 5.488883367294354e-06, + "loss": 3.983, + "step": 6183 + }, + { + "epoch": 0.79, + "learning_rate": 5.482404241405875e-06, + "loss": 3.9087, + "step": 6184 + }, + { + "epoch": 0.79, + "learning_rate": 5.475928470818376e-06, + "loss": 3.8862, + "step": 6185 + }, + { + "epoch": 0.79, + "learning_rate": 5.469456056645114e-06, + "loss": 3.9655, + "step": 6186 + }, + { + "epoch": 0.79, + "learning_rate": 5.462986999998768e-06, + "loss": 3.8481, + "step": 6187 + }, + { + "epoch": 0.79, + "learning_rate": 5.456521301991455e-06, + "loss": 3.897, + "step": 6188 + }, + { + "epoch": 0.79, + "learning_rate": 5.450058963734692e-06, + "loss": 4.0291, + "step": 6189 + }, + { + "epoch": 0.79, + "learning_rate": 5.4435999863394396e-06, + "loss": 4.0461, + "step": 6190 + }, + { + "epoch": 0.79, + "learning_rate": 5.437144370916069e-06, + "loss": 3.989, + "step": 6191 + }, + { + "epoch": 0.79, + "learning_rate": 5.430692118574374e-06, + "loss": 3.954, + "step": 6192 + }, + { + "epoch": 0.79, + "learning_rate": 5.424243230423567e-06, + "loss": 3.8527, + "step": 6193 + }, + { + "epoch": 0.79, + "learning_rate": 5.417797707572295e-06, + "loss": 3.8644, + "step": 6194 + }, + { + "epoch": 0.79, + "learning_rate": 5.411355551128602e-06, + "loss": 3.79, + "step": 6195 + }, + { + "epoch": 0.79, + "learning_rate": 5.4049167621999906e-06, + "loss": 3.9231, + "step": 6196 + }, + { + "epoch": 0.79, + "learning_rate": 5.398481341893355e-06, + "loss": 3.9886, + "step": 6197 + }, + { + "epoch": 0.79, + "learning_rate": 5.392049291315007e-06, + "loss": 3.8119, + "step": 6198 + }, + { + "epoch": 0.79, + "learning_rate": 5.385620611570707e-06, + "loss": 3.771, + "step": 6199 + }, + { + "epoch": 0.79, + "learning_rate": 5.379195303765616e-06, + "loss": 3.8249, + "step": 6200 + }, + { + "epoch": 0.79, + "learning_rate": 5.372773369004314e-06, + "loss": 3.8352, + "step": 6201 + }, + { + "epoch": 0.79, + "learning_rate": 5.366354808390803e-06, + "loss": 4.0063, + "step": 6202 + }, + { + "epoch": 0.79, + "learning_rate": 5.35993962302852e-06, + "loss": 3.8353, + "step": 6203 + }, + { + "epoch": 0.79, + "learning_rate": 5.353527814020301e-06, + "loss": 3.9424, + "step": 6204 + }, + { + "epoch": 0.79, + "learning_rate": 5.347119382468413e-06, + "loss": 3.8239, + "step": 6205 + }, + { + "epoch": 0.79, + "learning_rate": 5.340714329474542e-06, + "loss": 3.7842, + "step": 6206 + }, + { + "epoch": 0.79, + "learning_rate": 5.334312656139776e-06, + "loss": 3.8655, + "step": 6207 + }, + { + "epoch": 0.79, + "learning_rate": 5.327914363564659e-06, + "loss": 4.0003, + "step": 6208 + }, + { + "epoch": 0.79, + "learning_rate": 5.321519452849119e-06, + "loss": 3.8515, + "step": 6209 + }, + { + "epoch": 0.79, + "learning_rate": 5.315127925092511e-06, + "loss": 3.9491, + "step": 6210 + }, + { + "epoch": 0.8, + "learning_rate": 5.308739781393629e-06, + "loss": 3.7491, + "step": 6211 + }, + { + "epoch": 0.8, + "learning_rate": 5.302355022850655e-06, + "loss": 3.8996, + "step": 6212 + }, + { + "epoch": 0.8, + "learning_rate": 5.2959736505612115e-06, + "loss": 3.9719, + "step": 6213 + }, + { + "epoch": 0.8, + "learning_rate": 5.2895956656223236e-06, + "loss": 3.9791, + "step": 6214 + }, + { + "epoch": 0.8, + "learning_rate": 5.283221069130442e-06, + "loss": 3.9421, + "step": 6215 + }, + { + "epoch": 0.8, + "learning_rate": 5.276849862181432e-06, + "loss": 4.0011, + "step": 6216 + }, + { + "epoch": 0.8, + "learning_rate": 5.2704820458705785e-06, + "loss": 3.9094, + "step": 6217 + }, + { + "epoch": 0.8, + "learning_rate": 5.264117621292594e-06, + "loss": 3.8124, + "step": 6218 + }, + { + "epoch": 0.8, + "learning_rate": 5.257756589541588e-06, + "loss": 3.8398, + "step": 6219 + }, + { + "epoch": 0.8, + "learning_rate": 5.251398951711095e-06, + "loss": 4.0544, + "step": 6220 + }, + { + "epoch": 0.8, + "learning_rate": 5.2450447088940676e-06, + "loss": 3.8259, + "step": 6221 + }, + { + "epoch": 0.8, + "learning_rate": 5.2386938621828756e-06, + "loss": 3.7429, + "step": 6222 + }, + { + "epoch": 0.8, + "learning_rate": 5.2323464126692925e-06, + "loss": 3.97, + "step": 6223 + }, + { + "epoch": 0.8, + "learning_rate": 5.226002361444535e-06, + "loss": 4.1013, + "step": 6224 + }, + { + "epoch": 0.8, + "learning_rate": 5.219661709599211e-06, + "loss": 3.8658, + "step": 6225 + }, + { + "epoch": 0.8, + "learning_rate": 5.213324458223346e-06, + "loss": 3.8841, + "step": 6226 + }, + { + "epoch": 0.8, + "learning_rate": 5.206990608406401e-06, + "loss": 4.0085, + "step": 6227 + }, + { + "epoch": 0.8, + "learning_rate": 5.200660161237228e-06, + "loss": 3.7753, + "step": 6228 + }, + { + "epoch": 0.8, + "learning_rate": 5.19433311780411e-06, + "loss": 3.9219, + "step": 6229 + }, + { + "epoch": 0.8, + "learning_rate": 5.188009479194736e-06, + "loss": 3.9078, + "step": 6230 + }, + { + "epoch": 0.8, + "learning_rate": 5.181689246496205e-06, + "loss": 3.8983, + "step": 6231 + }, + { + "epoch": 0.8, + "learning_rate": 5.175372420795052e-06, + "loss": 3.9404, + "step": 6232 + }, + { + "epoch": 0.8, + "learning_rate": 5.169059003177207e-06, + "loss": 3.9876, + "step": 6233 + }, + { + "epoch": 0.8, + "learning_rate": 5.16274899472802e-06, + "loss": 4.0465, + "step": 6234 + }, + { + "epoch": 0.8, + "learning_rate": 5.156442396532246e-06, + "loss": 3.9217, + "step": 6235 + }, + { + "epoch": 0.8, + "learning_rate": 5.150139209674079e-06, + "loss": 3.915, + "step": 6236 + }, + { + "epoch": 0.8, + "learning_rate": 5.1438394352370996e-06, + "loss": 3.9681, + "step": 6237 + }, + { + "epoch": 0.8, + "learning_rate": 5.137543074304307e-06, + "loss": 4.1174, + "step": 6238 + }, + { + "epoch": 0.8, + "learning_rate": 5.131250127958134e-06, + "loss": 3.8611, + "step": 6239 + }, + { + "epoch": 0.8, + "learning_rate": 5.124960597280401e-06, + "loss": 4.0104, + "step": 6240 + }, + { + "epoch": 0.8, + "learning_rate": 5.1186744833523535e-06, + "loss": 4.0394, + "step": 6241 + }, + { + "epoch": 0.8, + "learning_rate": 5.112391787254645e-06, + "loss": 3.9248, + "step": 6242 + }, + { + "epoch": 0.8, + "learning_rate": 5.106112510067346e-06, + "loss": 3.8533, + "step": 6243 + }, + { + "epoch": 0.8, + "learning_rate": 5.099836652869927e-06, + "loss": 3.9847, + "step": 6244 + }, + { + "epoch": 0.8, + "learning_rate": 5.093564216741301e-06, + "loss": 4.1432, + "step": 6245 + }, + { + "epoch": 0.8, + "learning_rate": 5.087295202759751e-06, + "loss": 3.977, + "step": 6246 + }, + { + "epoch": 0.8, + "learning_rate": 5.081029612003013e-06, + "loss": 3.8909, + "step": 6247 + }, + { + "epoch": 0.8, + "learning_rate": 5.074767445548204e-06, + "loss": 4.0126, + "step": 6248 + }, + { + "epoch": 0.8, + "learning_rate": 5.0685087044718635e-06, + "loss": 3.947, + "step": 6249 + }, + { + "epoch": 0.8, + "learning_rate": 5.062253389849942e-06, + "loss": 3.7738, + "step": 6250 + }, + { + "epoch": 0.8, + "learning_rate": 5.0560015027578015e-06, + "loss": 3.9282, + "step": 6251 + }, + { + "epoch": 0.8, + "learning_rate": 5.0497530442702084e-06, + "loss": 3.8329, + "step": 6252 + }, + { + "epoch": 0.8, + "learning_rate": 5.043508015461354e-06, + "loss": 3.9971, + "step": 6253 + }, + { + "epoch": 0.8, + "learning_rate": 5.037266417404824e-06, + "loss": 3.8369, + "step": 6254 + }, + { + "epoch": 0.8, + "learning_rate": 5.031028251173628e-06, + "loss": 3.7658, + "step": 6255 + }, + { + "epoch": 0.8, + "learning_rate": 5.024793517840176e-06, + "loss": 3.8688, + "step": 6256 + }, + { + "epoch": 0.8, + "learning_rate": 5.018562218476294e-06, + "loss": 3.932, + "step": 6257 + }, + { + "epoch": 0.8, + "learning_rate": 5.012334354153209e-06, + "loss": 3.9138, + "step": 6258 + }, + { + "epoch": 0.8, + "learning_rate": 5.00610992594156e-06, + "loss": 3.9846, + "step": 6259 + }, + { + "epoch": 0.8, + "learning_rate": 4.999888934911409e-06, + "loss": 3.9703, + "step": 6260 + }, + { + "epoch": 0.8, + "learning_rate": 4.9936713821322116e-06, + "loss": 3.869, + "step": 6261 + }, + { + "epoch": 0.8, + "learning_rate": 4.987457268672838e-06, + "loss": 3.9244, + "step": 6262 + }, + { + "epoch": 0.8, + "learning_rate": 4.981246595601555e-06, + "loss": 3.8866, + "step": 6263 + }, + { + "epoch": 0.8, + "learning_rate": 4.9750393639860696e-06, + "loss": 3.9332, + "step": 6264 + }, + { + "epoch": 0.8, + "learning_rate": 4.968835574893466e-06, + "loss": 3.9124, + "step": 6265 + }, + { + "epoch": 0.8, + "learning_rate": 4.962635229390247e-06, + "loss": 3.9508, + "step": 6266 + }, + { + "epoch": 0.8, + "learning_rate": 4.95643832854232e-06, + "loss": 3.9075, + "step": 6267 + }, + { + "epoch": 0.8, + "learning_rate": 4.950244873415017e-06, + "loss": 3.8098, + "step": 6268 + }, + { + "epoch": 0.8, + "learning_rate": 4.944054865073056e-06, + "loss": 3.9246, + "step": 6269 + }, + { + "epoch": 0.8, + "learning_rate": 4.93786830458057e-06, + "loss": 3.9414, + "step": 6270 + }, + { + "epoch": 0.8, + "learning_rate": 4.931685193001107e-06, + "loss": 3.9082, + "step": 6271 + }, + { + "epoch": 0.8, + "learning_rate": 4.925505531397601e-06, + "loss": 3.9485, + "step": 6272 + }, + { + "epoch": 0.8, + "learning_rate": 4.919329320832425e-06, + "loss": 4.0185, + "step": 6273 + }, + { + "epoch": 0.8, + "learning_rate": 4.913156562367327e-06, + "loss": 3.9662, + "step": 6274 + }, + { + "epoch": 0.8, + "learning_rate": 4.906987257063489e-06, + "loss": 4.022, + "step": 6275 + }, + { + "epoch": 0.8, + "learning_rate": 4.900821405981482e-06, + "loss": 3.982, + "step": 6276 + }, + { + "epoch": 0.8, + "learning_rate": 4.894659010181282e-06, + "loss": 3.813, + "step": 6277 + }, + { + "epoch": 0.8, + "learning_rate": 4.888500070722282e-06, + "loss": 3.9806, + "step": 6278 + }, + { + "epoch": 0.8, + "learning_rate": 4.882344588663271e-06, + "loss": 3.8648, + "step": 6279 + }, + { + "epoch": 0.8, + "learning_rate": 4.87619256506244e-06, + "loss": 3.9156, + "step": 6280 + }, + { + "epoch": 0.8, + "learning_rate": 4.870044000977406e-06, + "loss": 3.7972, + "step": 6281 + }, + { + "epoch": 0.8, + "learning_rate": 4.86389889746518e-06, + "loss": 3.7163, + "step": 6282 + }, + { + "epoch": 0.8, + "learning_rate": 4.857757255582171e-06, + "loss": 3.7339, + "step": 6283 + }, + { + "epoch": 0.8, + "learning_rate": 4.851619076384201e-06, + "loss": 3.9779, + "step": 6284 + }, + { + "epoch": 0.8, + "learning_rate": 4.8454843609264885e-06, + "loss": 3.8451, + "step": 6285 + }, + { + "epoch": 0.8, + "learning_rate": 4.839353110263667e-06, + "loss": 3.9035, + "step": 6286 + }, + { + "epoch": 0.8, + "learning_rate": 4.833225325449767e-06, + "loss": 3.8286, + "step": 6287 + }, + { + "epoch": 0.8, + "learning_rate": 4.827101007538221e-06, + "loss": 3.8167, + "step": 6288 + }, + { + "epoch": 0.8, + "learning_rate": 4.820980157581884e-06, + "loss": 3.7827, + "step": 6289 + }, + { + "epoch": 0.81, + "learning_rate": 4.814862776632992e-06, + "loss": 4.052, + "step": 6290 + }, + { + "epoch": 0.81, + "learning_rate": 4.8087488657431875e-06, + "loss": 3.8863, + "step": 6291 + }, + { + "epoch": 0.81, + "learning_rate": 4.802638425963538e-06, + "loss": 3.9025, + "step": 6292 + }, + { + "epoch": 0.81, + "learning_rate": 4.796531458344492e-06, + "loss": 3.9062, + "step": 6293 + }, + { + "epoch": 0.81, + "learning_rate": 4.7904279639359035e-06, + "loss": 3.852, + "step": 6294 + }, + { + "epoch": 0.81, + "learning_rate": 4.7843279437870345e-06, + "loss": 3.9219, + "step": 6295 + }, + { + "epoch": 0.81, + "learning_rate": 4.778231398946556e-06, + "loss": 3.9123, + "step": 6296 + }, + { + "epoch": 0.81, + "learning_rate": 4.772138330462534e-06, + "loss": 3.7207, + "step": 6297 + }, + { + "epoch": 0.81, + "learning_rate": 4.766048739382431e-06, + "loss": 3.9471, + "step": 6298 + }, + { + "epoch": 0.81, + "learning_rate": 4.759962626753123e-06, + "loss": 3.9188, + "step": 6299 + }, + { + "epoch": 0.81, + "learning_rate": 4.753879993620877e-06, + "loss": 3.9994, + "step": 6300 + }, + { + "epoch": 0.81, + "learning_rate": 4.747800841031377e-06, + "loss": 3.8872, + "step": 6301 + }, + { + "epoch": 0.81, + "learning_rate": 4.741725170029693e-06, + "loss": 3.9319, + "step": 6302 + }, + { + "epoch": 0.81, + "learning_rate": 4.73565298166031e-06, + "loss": 3.9664, + "step": 6303 + }, + { + "epoch": 0.81, + "learning_rate": 4.7295842769671055e-06, + "loss": 3.9358, + "step": 6304 + }, + { + "epoch": 0.81, + "learning_rate": 4.723519056993358e-06, + "loss": 3.9213, + "step": 6305 + }, + { + "epoch": 0.81, + "learning_rate": 4.717457322781749e-06, + "loss": 3.9183, + "step": 6306 + }, + { + "epoch": 0.81, + "learning_rate": 4.711399075374362e-06, + "loss": 3.8577, + "step": 6307 + }, + { + "epoch": 0.81, + "learning_rate": 4.705344315812682e-06, + "loss": 3.8103, + "step": 6308 + }, + { + "epoch": 0.81, + "learning_rate": 4.699293045137582e-06, + "loss": 3.998, + "step": 6309 + }, + { + "epoch": 0.81, + "learning_rate": 4.693245264389351e-06, + "loss": 3.9727, + "step": 6310 + }, + { + "epoch": 0.81, + "learning_rate": 4.687200974607684e-06, + "loss": 4.0987, + "step": 6311 + }, + { + "epoch": 0.81, + "learning_rate": 4.681160176831656e-06, + "loss": 4.059, + "step": 6312 + }, + { + "epoch": 0.81, + "learning_rate": 4.6751228720997495e-06, + "loss": 3.8703, + "step": 6313 + }, + { + "epoch": 0.81, + "learning_rate": 4.669089061449846e-06, + "loss": 3.7868, + "step": 6314 + }, + { + "epoch": 0.81, + "learning_rate": 4.66305874591923e-06, + "loss": 3.968, + "step": 6315 + }, + { + "epoch": 0.81, + "learning_rate": 4.657031926544575e-06, + "loss": 3.9132, + "step": 6316 + }, + { + "epoch": 0.81, + "learning_rate": 4.651008604361976e-06, + "loss": 3.9455, + "step": 6317 + }, + { + "epoch": 0.81, + "learning_rate": 4.644988780406895e-06, + "loss": 3.982, + "step": 6318 + }, + { + "epoch": 0.81, + "learning_rate": 4.638972455714225e-06, + "loss": 3.8838, + "step": 6319 + }, + { + "epoch": 0.81, + "learning_rate": 4.632959631318235e-06, + "loss": 3.8448, + "step": 6320 + }, + { + "epoch": 0.81, + "learning_rate": 4.626950308252601e-06, + "loss": 3.8308, + "step": 6321 + }, + { + "epoch": 0.81, + "learning_rate": 4.620944487550391e-06, + "loss": 3.9051, + "step": 6322 + }, + { + "epoch": 0.81, + "learning_rate": 4.614942170244074e-06, + "loss": 3.7937, + "step": 6323 + }, + { + "epoch": 0.81, + "learning_rate": 4.608943357365527e-06, + "loss": 3.8796, + "step": 6324 + }, + { + "epoch": 0.81, + "learning_rate": 4.60294804994601e-06, + "loss": 3.9495, + "step": 6325 + }, + { + "epoch": 0.81, + "learning_rate": 4.596956249016188e-06, + "loss": 3.8886, + "step": 6326 + }, + { + "epoch": 0.81, + "learning_rate": 4.590967955606115e-06, + "loss": 3.8085, + "step": 6327 + }, + { + "epoch": 0.81, + "learning_rate": 4.584983170745249e-06, + "loss": 3.8198, + "step": 6328 + }, + { + "epoch": 0.81, + "learning_rate": 4.579001895462453e-06, + "loss": 3.8948, + "step": 6329 + }, + { + "epoch": 0.81, + "learning_rate": 4.573024130785971e-06, + "loss": 3.8898, + "step": 6330 + }, + { + "epoch": 0.81, + "learning_rate": 4.567049877743446e-06, + "loss": 3.9377, + "step": 6331 + }, + { + "epoch": 0.81, + "learning_rate": 4.5610791373619315e-06, + "loss": 3.8762, + "step": 6332 + }, + { + "epoch": 0.81, + "learning_rate": 4.555111910667861e-06, + "loss": 4.1144, + "step": 6333 + }, + { + "epoch": 0.81, + "learning_rate": 4.549148198687072e-06, + "loss": 3.7144, + "step": 6334 + }, + { + "epoch": 0.81, + "learning_rate": 4.543188002444795e-06, + "loss": 3.9078, + "step": 6335 + }, + { + "epoch": 0.81, + "learning_rate": 4.537231322965654e-06, + "loss": 3.894, + "step": 6336 + }, + { + "epoch": 0.81, + "learning_rate": 4.531278161273666e-06, + "loss": 3.8938, + "step": 6337 + }, + { + "epoch": 0.81, + "learning_rate": 4.525328518392258e-06, + "loss": 4.0733, + "step": 6338 + }, + { + "epoch": 0.81, + "learning_rate": 4.519382395344246e-06, + "loss": 3.9514, + "step": 6339 + }, + { + "epoch": 0.81, + "learning_rate": 4.513439793151833e-06, + "loss": 3.9897, + "step": 6340 + }, + { + "epoch": 0.81, + "learning_rate": 4.507500712836621e-06, + "loss": 3.8439, + "step": 6341 + }, + { + "epoch": 0.81, + "learning_rate": 4.501565155419602e-06, + "loss": 3.9996, + "step": 6342 + }, + { + "epoch": 0.81, + "learning_rate": 4.495633121921175e-06, + "loss": 3.896, + "step": 6343 + }, + { + "epoch": 0.81, + "learning_rate": 4.489704613361112e-06, + "loss": 4.0324, + "step": 6344 + }, + { + "epoch": 0.81, + "learning_rate": 4.483779630758608e-06, + "loss": 4.0365, + "step": 6345 + }, + { + "epoch": 0.81, + "learning_rate": 4.4778581751322264e-06, + "loss": 3.7718, + "step": 6346 + }, + { + "epoch": 0.81, + "learning_rate": 4.471940247499942e-06, + "loss": 3.892, + "step": 6347 + }, + { + "epoch": 0.81, + "learning_rate": 4.466025848879113e-06, + "loss": 3.996, + "step": 6348 + }, + { + "epoch": 0.81, + "learning_rate": 4.4601149802864864e-06, + "loss": 4.0637, + "step": 6349 + }, + { + "epoch": 0.81, + "learning_rate": 4.454207642738217e-06, + "loss": 3.912, + "step": 6350 + }, + { + "epoch": 0.81, + "learning_rate": 4.44830383724984e-06, + "loss": 3.9541, + "step": 6351 + }, + { + "epoch": 0.81, + "learning_rate": 4.442403564836284e-06, + "loss": 3.8568, + "step": 6352 + }, + { + "epoch": 0.81, + "learning_rate": 4.436506826511883e-06, + "loss": 3.9187, + "step": 6353 + }, + { + "epoch": 0.81, + "learning_rate": 4.430613623290353e-06, + "loss": 3.9433, + "step": 6354 + }, + { + "epoch": 0.81, + "learning_rate": 4.424723956184795e-06, + "loss": 3.912, + "step": 6355 + }, + { + "epoch": 0.81, + "learning_rate": 4.418837826207725e-06, + "loss": 3.9721, + "step": 6356 + }, + { + "epoch": 0.81, + "learning_rate": 4.41295523437103e-06, + "loss": 3.9704, + "step": 6357 + }, + { + "epoch": 0.81, + "learning_rate": 4.4070761816859955e-06, + "loss": 3.8559, + "step": 6358 + }, + { + "epoch": 0.81, + "learning_rate": 4.401200669163291e-06, + "loss": 3.9184, + "step": 6359 + }, + { + "epoch": 0.81, + "learning_rate": 4.395328697813e-06, + "loss": 3.8736, + "step": 6360 + }, + { + "epoch": 0.81, + "learning_rate": 4.389460268644577e-06, + "loss": 3.8583, + "step": 6361 + }, + { + "epoch": 0.81, + "learning_rate": 4.383595382666872e-06, + "loss": 3.914, + "step": 6362 + }, + { + "epoch": 0.81, + "learning_rate": 4.377734040888126e-06, + "loss": 3.9743, + "step": 6363 + }, + { + "epoch": 0.81, + "learning_rate": 4.371876244315973e-06, + "loss": 3.9911, + "step": 6364 + }, + { + "epoch": 0.81, + "learning_rate": 4.366021993957428e-06, + "loss": 3.9408, + "step": 6365 + }, + { + "epoch": 0.81, + "learning_rate": 4.360171290818918e-06, + "loss": 3.9241, + "step": 6366 + }, + { + "epoch": 0.81, + "learning_rate": 4.3543241359062346e-06, + "loss": 3.789, + "step": 6367 + }, + { + "epoch": 0.82, + "learning_rate": 4.348480530224583e-06, + "loss": 3.9157, + "step": 6368 + }, + { + "epoch": 0.82, + "learning_rate": 4.342640474778542e-06, + "loss": 3.8697, + "step": 6369 + }, + { + "epoch": 0.82, + "learning_rate": 4.336803970572084e-06, + "loss": 3.9025, + "step": 6370 + }, + { + "epoch": 0.82, + "learning_rate": 4.3309710186085705e-06, + "loss": 3.9133, + "step": 6371 + }, + { + "epoch": 0.82, + "learning_rate": 4.325141619890757e-06, + "loss": 3.9221, + "step": 6372 + }, + { + "epoch": 0.82, + "learning_rate": 4.319315775420777e-06, + "loss": 3.9979, + "step": 6373 + }, + { + "epoch": 0.82, + "learning_rate": 4.313493486200162e-06, + "loss": 3.7658, + "step": 6374 + }, + { + "epoch": 0.82, + "learning_rate": 4.307674753229845e-06, + "loss": 4.0939, + "step": 6375 + }, + { + "epoch": 0.82, + "learning_rate": 4.301859577510123e-06, + "loss": 3.8273, + "step": 6376 + }, + { + "epoch": 0.82, + "learning_rate": 4.296047960040692e-06, + "loss": 3.8851, + "step": 6377 + }, + { + "epoch": 0.82, + "learning_rate": 4.290239901820639e-06, + "loss": 3.8976, + "step": 6378 + }, + { + "epoch": 0.82, + "learning_rate": 4.2844354038484354e-06, + "loss": 3.863, + "step": 6379 + }, + { + "epoch": 0.82, + "learning_rate": 4.2786344671219336e-06, + "loss": 3.8685, + "step": 6380 + }, + { + "epoch": 0.82, + "learning_rate": 4.272837092638396e-06, + "loss": 3.8374, + "step": 6381 + }, + { + "epoch": 0.82, + "learning_rate": 4.267043281394454e-06, + "loss": 3.9731, + "step": 6382 + }, + { + "epoch": 0.82, + "learning_rate": 4.26125303438612e-06, + "loss": 3.9743, + "step": 6383 + }, + { + "epoch": 0.82, + "learning_rate": 4.255466352608822e-06, + "loss": 3.9149, + "step": 6384 + }, + { + "epoch": 0.82, + "learning_rate": 4.249683237057348e-06, + "loss": 3.8828, + "step": 6385 + }, + { + "epoch": 0.82, + "learning_rate": 4.2439036887258835e-06, + "loss": 3.8878, + "step": 6386 + }, + { + "epoch": 0.82, + "learning_rate": 4.238127708608003e-06, + "loss": 3.8638, + "step": 6387 + }, + { + "epoch": 0.82, + "learning_rate": 4.232355297696653e-06, + "loss": 3.9337, + "step": 6388 + }, + { + "epoch": 0.82, + "learning_rate": 4.226586456984192e-06, + "loss": 3.8367, + "step": 6389 + }, + { + "epoch": 0.82, + "learning_rate": 4.2208211874623455e-06, + "loss": 3.8385, + "step": 6390 + }, + { + "epoch": 0.82, + "learning_rate": 4.215059490122231e-06, + "loss": 3.8155, + "step": 6391 + }, + { + "epoch": 0.82, + "learning_rate": 4.209301365954344e-06, + "loss": 3.9088, + "step": 6392 + }, + { + "epoch": 0.82, + "learning_rate": 4.2035468159485835e-06, + "loss": 3.9168, + "step": 6393 + }, + { + "epoch": 0.82, + "learning_rate": 4.197795841094221e-06, + "loss": 3.8877, + "step": 6394 + }, + { + "epoch": 0.82, + "learning_rate": 4.192048442379904e-06, + "loss": 3.953, + "step": 6395 + }, + { + "epoch": 0.82, + "learning_rate": 4.186304620793693e-06, + "loss": 3.8449, + "step": 6396 + }, + { + "epoch": 0.82, + "learning_rate": 4.180564377323013e-06, + "loss": 3.8505, + "step": 6397 + }, + { + "epoch": 0.82, + "learning_rate": 4.174827712954674e-06, + "loss": 3.9611, + "step": 6398 + }, + { + "epoch": 0.82, + "learning_rate": 4.169094628674877e-06, + "loss": 3.8496, + "step": 6399 + }, + { + "epoch": 0.82, + "learning_rate": 4.1633651254692065e-06, + "loss": 3.7525, + "step": 6400 + }, + { + "epoch": 0.82, + "learning_rate": 4.157639204322625e-06, + "loss": 3.9686, + "step": 6401 + }, + { + "epoch": 0.82, + "learning_rate": 4.151916866219493e-06, + "loss": 3.9326, + "step": 6402 + }, + { + "epoch": 0.82, + "learning_rate": 4.14619811214354e-06, + "loss": 3.9208, + "step": 6403 + }, + { + "epoch": 0.82, + "learning_rate": 4.140482943077895e-06, + "loss": 3.9997, + "step": 6404 + }, + { + "epoch": 0.82, + "learning_rate": 4.134771360005054e-06, + "loss": 3.7758, + "step": 6405 + }, + { + "epoch": 0.82, + "learning_rate": 4.12906336390691e-06, + "loss": 3.8735, + "step": 6406 + }, + { + "epoch": 0.82, + "learning_rate": 4.123358955764728e-06, + "loss": 3.9622, + "step": 6407 + }, + { + "epoch": 0.82, + "learning_rate": 4.1176581365591656e-06, + "loss": 4.0509, + "step": 6408 + }, + { + "epoch": 0.82, + "learning_rate": 4.111960907270251e-06, + "loss": 3.8256, + "step": 6409 + }, + { + "epoch": 0.82, + "learning_rate": 4.1062672688774205e-06, + "loss": 3.7946, + "step": 6410 + }, + { + "epoch": 0.82, + "learning_rate": 4.100577222359459e-06, + "loss": 3.9001, + "step": 6411 + }, + { + "epoch": 0.82, + "learning_rate": 4.094890768694568e-06, + "loss": 3.9919, + "step": 6412 + }, + { + "epoch": 0.82, + "learning_rate": 4.089207908860304e-06, + "loss": 3.9566, + "step": 6413 + }, + { + "epoch": 0.82, + "learning_rate": 4.08352864383362e-06, + "loss": 3.8633, + "step": 6414 + }, + { + "epoch": 0.82, + "learning_rate": 4.0778529745908455e-06, + "loss": 4.0036, + "step": 6415 + }, + { + "epoch": 0.82, + "learning_rate": 4.072180902107692e-06, + "loss": 3.969, + "step": 6416 + }, + { + "epoch": 0.82, + "learning_rate": 4.066512427359262e-06, + "loss": 3.9234, + "step": 6417 + }, + { + "epoch": 0.82, + "learning_rate": 4.060847551320026e-06, + "loss": 3.9041, + "step": 6418 + }, + { + "epoch": 0.82, + "learning_rate": 4.055186274963846e-06, + "loss": 3.8818, + "step": 6419 + }, + { + "epoch": 0.82, + "learning_rate": 4.049528599263949e-06, + "loss": 3.9475, + "step": 6420 + }, + { + "epoch": 0.82, + "learning_rate": 4.0438745251929755e-06, + "loss": 3.9004, + "step": 6421 + }, + { + "epoch": 0.82, + "learning_rate": 4.038224053722911e-06, + "loss": 3.8949, + "step": 6422 + }, + { + "epoch": 0.82, + "learning_rate": 4.032577185825143e-06, + "loss": 3.8645, + "step": 6423 + }, + { + "epoch": 0.82, + "learning_rate": 4.026933922470427e-06, + "loss": 3.8758, + "step": 6424 + }, + { + "epoch": 0.82, + "learning_rate": 4.021294264628914e-06, + "loss": 3.9012, + "step": 6425 + }, + { + "epoch": 0.82, + "learning_rate": 4.015658213270127e-06, + "loss": 3.9901, + "step": 6426 + }, + { + "epoch": 0.82, + "learning_rate": 4.01002576936296e-06, + "loss": 3.8426, + "step": 6427 + }, + { + "epoch": 0.82, + "learning_rate": 4.004396933875701e-06, + "loss": 3.782, + "step": 6428 + }, + { + "epoch": 0.82, + "learning_rate": 3.9987717077760055e-06, + "loss": 3.9514, + "step": 6429 + }, + { + "epoch": 0.82, + "learning_rate": 3.9931500920309285e-06, + "loss": 3.8837, + "step": 6430 + }, + { + "epoch": 0.82, + "learning_rate": 3.987532087606874e-06, + "loss": 4.0189, + "step": 6431 + }, + { + "epoch": 0.82, + "learning_rate": 3.981917695469659e-06, + "loss": 3.9183, + "step": 6432 + }, + { + "epoch": 0.82, + "learning_rate": 3.976306916584455e-06, + "loss": 3.8766, + "step": 6433 + }, + { + "epoch": 0.82, + "learning_rate": 3.970699751915818e-06, + "loss": 3.8301, + "step": 6434 + }, + { + "epoch": 0.82, + "learning_rate": 3.965096202427687e-06, + "loss": 3.9092, + "step": 6435 + }, + { + "epoch": 0.82, + "learning_rate": 3.959496269083377e-06, + "loss": 4.0536, + "step": 6436 + }, + { + "epoch": 0.82, + "learning_rate": 3.953899952845572e-06, + "loss": 3.8826, + "step": 6437 + }, + { + "epoch": 0.82, + "learning_rate": 3.948307254676362e-06, + "loss": 3.9206, + "step": 6438 + }, + { + "epoch": 0.82, + "learning_rate": 3.942718175537177e-06, + "loss": 3.8923, + "step": 6439 + }, + { + "epoch": 0.82, + "learning_rate": 3.937132716388864e-06, + "loss": 3.8382, + "step": 6440 + }, + { + "epoch": 0.82, + "learning_rate": 3.931550878191617e-06, + "loss": 3.9422, + "step": 6441 + }, + { + "epoch": 0.82, + "learning_rate": 3.9259726619050225e-06, + "loss": 3.8709, + "step": 6442 + }, + { + "epoch": 0.82, + "learning_rate": 3.9203980684880375e-06, + "loss": 3.9311, + "step": 6443 + }, + { + "epoch": 0.82, + "learning_rate": 3.9148270988989984e-06, + "loss": 3.9051, + "step": 6444 + }, + { + "epoch": 0.82, + "learning_rate": 3.909259754095618e-06, + "loss": 3.9634, + "step": 6445 + }, + { + "epoch": 0.83, + "learning_rate": 3.903696035034996e-06, + "loss": 3.9623, + "step": 6446 + }, + { + "epoch": 0.83, + "learning_rate": 3.898135942673595e-06, + "loss": 3.9307, + "step": 6447 + }, + { + "epoch": 0.83, + "learning_rate": 3.892579477967254e-06, + "loss": 3.982, + "step": 6448 + }, + { + "epoch": 0.83, + "learning_rate": 3.887026641871203e-06, + "loss": 3.8237, + "step": 6449 + }, + { + "epoch": 0.83, + "learning_rate": 3.881477435340033e-06, + "loss": 4.0021, + "step": 6450 + }, + { + "epoch": 0.83, + "learning_rate": 3.875931859327722e-06, + "loss": 3.9655, + "step": 6451 + }, + { + "epoch": 0.83, + "learning_rate": 3.870389914787609e-06, + "loss": 3.9298, + "step": 6452 + }, + { + "epoch": 0.83, + "learning_rate": 3.864851602672431e-06, + "loss": 3.9617, + "step": 6453 + }, + { + "epoch": 0.83, + "learning_rate": 3.859316923934283e-06, + "loss": 3.9286, + "step": 6454 + }, + { + "epoch": 0.83, + "learning_rate": 3.853785879524641e-06, + "loss": 3.9476, + "step": 6455 + }, + { + "epoch": 0.83, + "learning_rate": 3.84825847039435e-06, + "loss": 3.8622, + "step": 6456 + }, + { + "epoch": 0.83, + "learning_rate": 3.842734697493636e-06, + "loss": 3.928, + "step": 6457 + }, + { + "epoch": 0.83, + "learning_rate": 3.8372145617721096e-06, + "loss": 3.8575, + "step": 6458 + }, + { + "epoch": 0.83, + "learning_rate": 3.831698064178741e-06, + "loss": 3.9282, + "step": 6459 + }, + { + "epoch": 0.83, + "learning_rate": 3.826185205661873e-06, + "loss": 3.8816, + "step": 6460 + }, + { + "epoch": 0.83, + "learning_rate": 3.82067598716924e-06, + "loss": 3.6912, + "step": 6461 + }, + { + "epoch": 0.83, + "learning_rate": 3.815170409647939e-06, + "loss": 4.0485, + "step": 6462 + }, + { + "epoch": 0.83, + "learning_rate": 3.8096684740444395e-06, + "loss": 3.9527, + "step": 6463 + }, + { + "epoch": 0.83, + "learning_rate": 3.8041701813045868e-06, + "loss": 3.8512, + "step": 6464 + }, + { + "epoch": 0.83, + "learning_rate": 3.798675532373605e-06, + "loss": 3.8844, + "step": 6465 + }, + { + "epoch": 0.83, + "learning_rate": 3.793184528196081e-06, + "loss": 3.7459, + "step": 6466 + }, + { + "epoch": 0.83, + "learning_rate": 3.787697169715984e-06, + "loss": 3.9895, + "step": 6467 + }, + { + "epoch": 0.83, + "learning_rate": 3.7822134578766655e-06, + "loss": 3.9661, + "step": 6468 + }, + { + "epoch": 0.83, + "learning_rate": 3.776733393620832e-06, + "loss": 3.9122, + "step": 6469 + }, + { + "epoch": 0.83, + "learning_rate": 3.7712569778905695e-06, + "loss": 3.9291, + "step": 6470 + }, + { + "epoch": 0.83, + "learning_rate": 3.765784211627335e-06, + "loss": 3.9088, + "step": 6471 + }, + { + "epoch": 0.83, + "learning_rate": 3.7603150957719655e-06, + "loss": 3.9438, + "step": 6472 + }, + { + "epoch": 0.83, + "learning_rate": 3.7548496312646535e-06, + "loss": 3.9136, + "step": 6473 + }, + { + "epoch": 0.83, + "learning_rate": 3.7493878190449944e-06, + "loss": 3.9621, + "step": 6474 + }, + { + "epoch": 0.83, + "learning_rate": 3.743929660051923e-06, + "loss": 3.8299, + "step": 6475 + }, + { + "epoch": 0.83, + "learning_rate": 3.738475155223761e-06, + "loss": 3.9409, + "step": 6476 + }, + { + "epoch": 0.83, + "learning_rate": 3.7330243054982117e-06, + "loss": 3.8799, + "step": 6477 + }, + { + "epoch": 0.83, + "learning_rate": 3.72757711181233e-06, + "loss": 3.7882, + "step": 6478 + }, + { + "epoch": 0.83, + "learning_rate": 3.7221335751025543e-06, + "loss": 3.9532, + "step": 6479 + }, + { + "epoch": 0.83, + "learning_rate": 3.7166936963046933e-06, + "loss": 3.8359, + "step": 6480 + }, + { + "epoch": 0.83, + "learning_rate": 3.711257476353916e-06, + "loss": 3.9124, + "step": 6481 + }, + { + "epoch": 0.83, + "learning_rate": 3.705824916184783e-06, + "loss": 3.8922, + "step": 6482 + }, + { + "epoch": 0.83, + "learning_rate": 3.700396016731214e-06, + "loss": 3.7438, + "step": 6483 + }, + { + "epoch": 0.83, + "learning_rate": 3.694970778926493e-06, + "loss": 3.8712, + "step": 6484 + }, + { + "epoch": 0.83, + "learning_rate": 3.689549203703277e-06, + "loss": 3.8383, + "step": 6485 + }, + { + "epoch": 0.83, + "learning_rate": 3.6841312919936142e-06, + "loss": 3.8766, + "step": 6486 + }, + { + "epoch": 0.83, + "learning_rate": 3.678717044728894e-06, + "loss": 3.9231, + "step": 6487 + }, + { + "epoch": 0.83, + "learning_rate": 3.6733064628398874e-06, + "loss": 3.8729, + "step": 6488 + }, + { + "epoch": 0.83, + "learning_rate": 3.6678995472567452e-06, + "loss": 3.9079, + "step": 6489 + }, + { + "epoch": 0.83, + "learning_rate": 3.662496298908974e-06, + "loss": 4.0134, + "step": 6490 + }, + { + "epoch": 0.83, + "learning_rate": 3.6570967187254556e-06, + "loss": 3.9523, + "step": 6491 + }, + { + "epoch": 0.83, + "learning_rate": 3.6517008076344393e-06, + "loss": 4.0698, + "step": 6492 + }, + { + "epoch": 0.83, + "learning_rate": 3.6463085665635417e-06, + "loss": 3.9479, + "step": 6493 + }, + { + "epoch": 0.83, + "learning_rate": 3.640919996439751e-06, + "loss": 3.9445, + "step": 6494 + }, + { + "epoch": 0.83, + "learning_rate": 3.63553509818943e-06, + "loss": 3.7827, + "step": 6495 + }, + { + "epoch": 0.83, + "learning_rate": 3.6301538727383094e-06, + "loss": 4.025, + "step": 6496 + }, + { + "epoch": 0.83, + "learning_rate": 3.6247763210114777e-06, + "loss": 3.8492, + "step": 6497 + }, + { + "epoch": 0.83, + "learning_rate": 3.619402443933398e-06, + "loss": 3.7889, + "step": 6498 + }, + { + "epoch": 0.83, + "learning_rate": 3.614032242427903e-06, + "loss": 3.9052, + "step": 6499 + }, + { + "epoch": 0.83, + "learning_rate": 3.608665717418197e-06, + "loss": 3.9774, + "step": 6500 + }, + { + "epoch": 0.83, + "learning_rate": 3.6033028698268414e-06, + "loss": 3.8438, + "step": 6501 + }, + { + "epoch": 0.83, + "learning_rate": 3.5979437005757677e-06, + "loss": 3.8414, + "step": 6502 + }, + { + "epoch": 0.83, + "learning_rate": 3.592588210586287e-06, + "loss": 4.0667, + "step": 6503 + }, + { + "epoch": 0.83, + "learning_rate": 3.587236400779073e-06, + "loss": 3.7636, + "step": 6504 + }, + { + "epoch": 0.83, + "learning_rate": 3.5818882720741605e-06, + "loss": 3.9037, + "step": 6505 + }, + { + "epoch": 0.83, + "learning_rate": 3.5765438253909544e-06, + "loss": 4.035, + "step": 6506 + }, + { + "epoch": 0.83, + "learning_rate": 3.571203061648226e-06, + "loss": 4.0324, + "step": 6507 + }, + { + "epoch": 0.83, + "learning_rate": 3.565865981764116e-06, + "loss": 3.8228, + "step": 6508 + }, + { + "epoch": 0.83, + "learning_rate": 3.5605325866561264e-06, + "loss": 4.0, + "step": 6509 + }, + { + "epoch": 0.83, + "learning_rate": 3.5552028772411346e-06, + "loss": 3.8848, + "step": 6510 + }, + { + "epoch": 0.83, + "learning_rate": 3.54987685443538e-06, + "loss": 3.9558, + "step": 6511 + }, + { + "epoch": 0.83, + "learning_rate": 3.544554519154464e-06, + "loss": 3.8686, + "step": 6512 + }, + { + "epoch": 0.83, + "learning_rate": 3.539235872313354e-06, + "loss": 3.9379, + "step": 6513 + }, + { + "epoch": 0.83, + "learning_rate": 3.5339209148263967e-06, + "loss": 3.9351, + "step": 6514 + }, + { + "epoch": 0.83, + "learning_rate": 3.5286096476072895e-06, + "loss": 3.8627, + "step": 6515 + }, + { + "epoch": 0.83, + "learning_rate": 3.5233020715690984e-06, + "loss": 3.895, + "step": 6516 + }, + { + "epoch": 0.83, + "learning_rate": 3.5179981876242636e-06, + "loss": 3.9199, + "step": 6517 + }, + { + "epoch": 0.83, + "learning_rate": 3.512697996684583e-06, + "loss": 3.9913, + "step": 6518 + }, + { + "epoch": 0.83, + "learning_rate": 3.50740149966122e-06, + "loss": 3.9868, + "step": 6519 + }, + { + "epoch": 0.83, + "learning_rate": 3.502108697464701e-06, + "loss": 3.9198, + "step": 6520 + }, + { + "epoch": 0.83, + "learning_rate": 3.496819591004921e-06, + "loss": 3.8993, + "step": 6521 + }, + { + "epoch": 0.83, + "learning_rate": 3.491534181191136e-06, + "loss": 3.8158, + "step": 6522 + }, + { + "epoch": 0.83, + "learning_rate": 3.4862524689319776e-06, + "loss": 3.9453, + "step": 6523 + }, + { + "epoch": 0.84, + "learning_rate": 3.480974455135422e-06, + "loss": 3.7864, + "step": 6524 + }, + { + "epoch": 0.84, + "learning_rate": 3.4757001407088346e-06, + "loss": 3.8354, + "step": 6525 + }, + { + "epoch": 0.84, + "learning_rate": 3.4704295265589215e-06, + "loss": 3.8359, + "step": 6526 + }, + { + "epoch": 0.84, + "learning_rate": 3.4651626135917687e-06, + "loss": 3.9082, + "step": 6527 + }, + { + "epoch": 0.84, + "learning_rate": 3.459899402712813e-06, + "loss": 3.8026, + "step": 6528 + }, + { + "epoch": 0.84, + "learning_rate": 3.4546398948268664e-06, + "loss": 3.9824, + "step": 6529 + }, + { + "epoch": 0.84, + "learning_rate": 3.4493840908380896e-06, + "loss": 3.945, + "step": 6530 + }, + { + "epoch": 0.84, + "learning_rate": 3.4441319916500236e-06, + "loss": 3.8558, + "step": 6531 + }, + { + "epoch": 0.84, + "learning_rate": 3.4388835981655736e-06, + "loss": 3.8581, + "step": 6532 + }, + { + "epoch": 0.84, + "learning_rate": 3.4336389112869877e-06, + "loss": 3.8587, + "step": 6533 + }, + { + "epoch": 0.84, + "learning_rate": 3.4283979319158945e-06, + "loss": 3.8042, + "step": 6534 + }, + { + "epoch": 0.84, + "learning_rate": 3.4231606609532756e-06, + "loss": 3.8726, + "step": 6535 + }, + { + "epoch": 0.84, + "learning_rate": 3.4179270992994783e-06, + "loss": 3.8754, + "step": 6536 + }, + { + "epoch": 0.84, + "learning_rate": 3.4126972478542076e-06, + "loss": 4.0065, + "step": 6537 + }, + { + "epoch": 0.84, + "learning_rate": 3.4074711075165494e-06, + "loss": 3.9273, + "step": 6538 + }, + { + "epoch": 0.84, + "learning_rate": 3.402248679184927e-06, + "loss": 3.8238, + "step": 6539 + }, + { + "epoch": 0.84, + "learning_rate": 3.397029963757134e-06, + "loss": 3.8303, + "step": 6540 + }, + { + "epoch": 0.84, + "learning_rate": 3.3918149621303407e-06, + "loss": 3.7277, + "step": 6541 + }, + { + "epoch": 0.84, + "learning_rate": 3.3866036752010583e-06, + "loss": 3.9996, + "step": 6542 + }, + { + "epoch": 0.84, + "learning_rate": 3.381396103865167e-06, + "loss": 3.7276, + "step": 6543 + }, + { + "epoch": 0.84, + "learning_rate": 3.376192249017912e-06, + "loss": 3.9861, + "step": 6544 + }, + { + "epoch": 0.84, + "learning_rate": 3.370992111553886e-06, + "loss": 3.795, + "step": 6545 + }, + { + "epoch": 0.84, + "learning_rate": 3.3657956923670686e-06, + "loss": 3.7652, + "step": 6546 + }, + { + "epoch": 0.84, + "learning_rate": 3.3606029923507753e-06, + "loss": 3.9758, + "step": 6547 + }, + { + "epoch": 0.84, + "learning_rate": 3.355414012397695e-06, + "loss": 4.0365, + "step": 6548 + }, + { + "epoch": 0.84, + "learning_rate": 3.35022875339987e-06, + "loss": 3.8911, + "step": 6549 + }, + { + "epoch": 0.84, + "learning_rate": 3.3450472162487036e-06, + "loss": 3.801, + "step": 6550 + }, + { + "epoch": 0.84, + "learning_rate": 3.339869401834972e-06, + "loss": 3.8716, + "step": 6551 + }, + { + "epoch": 0.84, + "learning_rate": 3.3346953110487883e-06, + "loss": 3.9959, + "step": 6552 + }, + { + "epoch": 0.84, + "learning_rate": 3.329524944779655e-06, + "loss": 3.9312, + "step": 6553 + }, + { + "epoch": 0.84, + "learning_rate": 3.3243583039164057e-06, + "loss": 3.8973, + "step": 6554 + }, + { + "epoch": 0.84, + "learning_rate": 3.3191953893472518e-06, + "loss": 3.8991, + "step": 6555 + }, + { + "epoch": 0.84, + "learning_rate": 3.3140362019597555e-06, + "loss": 3.9004, + "step": 6556 + }, + { + "epoch": 0.84, + "learning_rate": 3.3088807426408435e-06, + "loss": 3.7527, + "step": 6557 + }, + { + "epoch": 0.84, + "learning_rate": 3.303729012276788e-06, + "loss": 3.8427, + "step": 6558 + }, + { + "epoch": 0.84, + "learning_rate": 3.2985810117532464e-06, + "loss": 3.9598, + "step": 6559 + }, + { + "epoch": 0.84, + "learning_rate": 3.2934367419552082e-06, + "loss": 3.8478, + "step": 6560 + }, + { + "epoch": 0.84, + "learning_rate": 3.288296203767044e-06, + "loss": 3.9328, + "step": 6561 + }, + { + "epoch": 0.84, + "learning_rate": 3.2831593980724663e-06, + "loss": 4.0574, + "step": 6562 + }, + { + "epoch": 0.84, + "learning_rate": 3.2780263257545517e-06, + "loss": 3.8727, + "step": 6563 + }, + { + "epoch": 0.84, + "learning_rate": 3.272896987695734e-06, + "loss": 3.9737, + "step": 6564 + }, + { + "epoch": 0.84, + "learning_rate": 3.267771384777804e-06, + "loss": 3.9806, + "step": 6565 + }, + { + "epoch": 0.84, + "learning_rate": 3.262649517881913e-06, + "loss": 3.8673, + "step": 6566 + }, + { + "epoch": 0.84, + "learning_rate": 3.2575313878885737e-06, + "loss": 3.8955, + "step": 6567 + }, + { + "epoch": 0.84, + "learning_rate": 3.2524169956776457e-06, + "loss": 3.983, + "step": 6568 + }, + { + "epoch": 0.84, + "learning_rate": 3.247306342128359e-06, + "loss": 3.7906, + "step": 6569 + }, + { + "epoch": 0.84, + "learning_rate": 3.242199428119291e-06, + "loss": 3.9184, + "step": 6570 + }, + { + "epoch": 0.84, + "learning_rate": 3.2370962545283796e-06, + "loss": 3.8523, + "step": 6571 + }, + { + "epoch": 0.84, + "learning_rate": 3.2319968222329216e-06, + "loss": 3.7745, + "step": 6572 + }, + { + "epoch": 0.84, + "learning_rate": 3.226901132109558e-06, + "loss": 3.8206, + "step": 6573 + }, + { + "epoch": 0.84, + "learning_rate": 3.2218091850343107e-06, + "loss": 3.8693, + "step": 6574 + }, + { + "epoch": 0.84, + "learning_rate": 3.21672098188254e-06, + "loss": 3.8653, + "step": 6575 + }, + { + "epoch": 0.84, + "learning_rate": 3.2116365235289656e-06, + "loss": 3.8232, + "step": 6576 + }, + { + "epoch": 0.84, + "learning_rate": 3.2065558108476614e-06, + "loss": 4.0586, + "step": 6577 + }, + { + "epoch": 0.84, + "learning_rate": 3.2014788447120694e-06, + "loss": 3.9366, + "step": 6578 + }, + { + "epoch": 0.84, + "learning_rate": 3.196405625994972e-06, + "loss": 3.8244, + "step": 6579 + }, + { + "epoch": 0.84, + "learning_rate": 3.1913361555685194e-06, + "loss": 3.8274, + "step": 6580 + }, + { + "epoch": 0.84, + "learning_rate": 3.1862704343042004e-06, + "loss": 3.9237, + "step": 6581 + }, + { + "epoch": 0.84, + "learning_rate": 3.1812084630728876e-06, + "loss": 3.8515, + "step": 6582 + }, + { + "epoch": 0.84, + "learning_rate": 3.1761502427447854e-06, + "loss": 3.9669, + "step": 6583 + }, + { + "epoch": 0.84, + "learning_rate": 3.1710957741894615e-06, + "loss": 3.8681, + "step": 6584 + }, + { + "epoch": 0.84, + "learning_rate": 3.166045058275835e-06, + "loss": 3.8987, + "step": 6585 + }, + { + "epoch": 0.84, + "learning_rate": 3.1609980958721833e-06, + "loss": 4.0152, + "step": 6586 + }, + { + "epoch": 0.84, + "learning_rate": 3.1559548878461324e-06, + "loss": 3.7575, + "step": 6587 + }, + { + "epoch": 0.84, + "learning_rate": 3.1509154350646747e-06, + "loss": 3.9587, + "step": 6588 + }, + { + "epoch": 0.84, + "learning_rate": 3.1458797383941556e-06, + "loss": 3.9947, + "step": 6589 + }, + { + "epoch": 0.84, + "learning_rate": 3.1408477987002667e-06, + "loss": 3.7312, + "step": 6590 + }, + { + "epoch": 0.84, + "learning_rate": 3.135819616848051e-06, + "loss": 3.9812, + "step": 6591 + }, + { + "epoch": 0.84, + "learning_rate": 3.130795193701916e-06, + "loss": 3.9131, + "step": 6592 + }, + { + "epoch": 0.84, + "learning_rate": 3.125774530125616e-06, + "loss": 3.9017, + "step": 6593 + }, + { + "epoch": 0.84, + "learning_rate": 3.1207576269822567e-06, + "loss": 3.9075, + "step": 6594 + }, + { + "epoch": 0.84, + "learning_rate": 3.1157444851343144e-06, + "loss": 3.8129, + "step": 6595 + }, + { + "epoch": 0.84, + "learning_rate": 3.1107351054435906e-06, + "loss": 3.9878, + "step": 6596 + }, + { + "epoch": 0.84, + "learning_rate": 3.105729488771272e-06, + "loss": 3.9386, + "step": 6597 + }, + { + "epoch": 0.84, + "learning_rate": 3.1007276359778735e-06, + "loss": 4.0162, + "step": 6598 + }, + { + "epoch": 0.84, + "learning_rate": 3.0957295479232735e-06, + "loss": 3.871, + "step": 6599 + }, + { + "epoch": 0.84, + "learning_rate": 3.0907352254666983e-06, + "loss": 3.8998, + "step": 6600 + }, + { + "epoch": 0.84, + "learning_rate": 3.0857446694667335e-06, + "loss": 3.8553, + "step": 6601 + }, + { + "epoch": 0.85, + "learning_rate": 3.080757880781307e-06, + "loss": 3.9696, + "step": 6602 + }, + { + "epoch": 0.85, + "learning_rate": 3.075774860267716e-06, + "loss": 3.8783, + "step": 6603 + }, + { + "epoch": 0.85, + "learning_rate": 3.0707956087825924e-06, + "loss": 3.938, + "step": 6604 + }, + { + "epoch": 0.85, + "learning_rate": 3.065820127181923e-06, + "loss": 3.8563, + "step": 6605 + }, + { + "epoch": 0.85, + "learning_rate": 3.060848416321063e-06, + "loss": 4.003, + "step": 6606 + }, + { + "epoch": 0.85, + "learning_rate": 3.055880477054701e-06, + "loss": 3.8544, + "step": 6607 + }, + { + "epoch": 0.85, + "learning_rate": 3.0509163102368816e-06, + "loss": 3.9963, + "step": 6608 + }, + { + "epoch": 0.85, + "learning_rate": 3.0459559167209994e-06, + "loss": 4.0254, + "step": 6609 + }, + { + "epoch": 0.85, + "learning_rate": 3.0409992973598146e-06, + "loss": 3.9751, + "step": 6610 + }, + { + "epoch": 0.85, + "learning_rate": 3.03604645300542e-06, + "loss": 3.9298, + "step": 6611 + }, + { + "epoch": 0.85, + "learning_rate": 3.031097384509271e-06, + "loss": 3.9955, + "step": 6612 + }, + { + "epoch": 0.85, + "learning_rate": 3.026152092722165e-06, + "loss": 4.007, + "step": 6613 + }, + { + "epoch": 0.85, + "learning_rate": 3.0212105784942492e-06, + "loss": 4.0, + "step": 6614 + }, + { + "epoch": 0.85, + "learning_rate": 3.0162728426750444e-06, + "loss": 3.9205, + "step": 6615 + }, + { + "epoch": 0.85, + "learning_rate": 3.0113388861133907e-06, + "loss": 3.8782, + "step": 6616 + }, + { + "epoch": 0.85, + "learning_rate": 3.006408709657496e-06, + "loss": 3.8292, + "step": 6617 + }, + { + "epoch": 0.85, + "learning_rate": 3.0014823141549185e-06, + "loss": 3.9104, + "step": 6618 + }, + { + "epoch": 0.85, + "learning_rate": 2.9965597004525614e-06, + "loss": 3.9293, + "step": 6619 + }, + { + "epoch": 0.85, + "learning_rate": 2.991640869396675e-06, + "loss": 3.9154, + "step": 6620 + }, + { + "epoch": 0.85, + "learning_rate": 2.986725821832867e-06, + "loss": 3.8942, + "step": 6621 + }, + { + "epoch": 0.85, + "learning_rate": 2.9818145586060915e-06, + "loss": 3.9561, + "step": 6622 + }, + { + "epoch": 0.85, + "learning_rate": 2.9769070805606453e-06, + "loss": 3.7231, + "step": 6623 + }, + { + "epoch": 0.85, + "learning_rate": 2.9720033885401814e-06, + "loss": 3.8995, + "step": 6624 + }, + { + "epoch": 0.85, + "learning_rate": 2.967103483387715e-06, + "loss": 3.8576, + "step": 6625 + }, + { + "epoch": 0.85, + "learning_rate": 2.962207365945585e-06, + "loss": 3.8763, + "step": 6626 + }, + { + "epoch": 0.85, + "learning_rate": 2.957315037055494e-06, + "loss": 3.8198, + "step": 6627 + }, + { + "epoch": 0.85, + "learning_rate": 2.952426497558489e-06, + "loss": 3.8854, + "step": 6628 + }, + { + "epoch": 0.85, + "learning_rate": 2.9475417482949656e-06, + "loss": 3.8275, + "step": 6629 + }, + { + "epoch": 0.85, + "learning_rate": 2.942660790104662e-06, + "loss": 4.0276, + "step": 6630 + }, + { + "epoch": 0.85, + "learning_rate": 2.937783623826687e-06, + "loss": 3.8768, + "step": 6631 + }, + { + "epoch": 0.85, + "learning_rate": 2.9329102502994753e-06, + "loss": 3.9825, + "step": 6632 + }, + { + "epoch": 0.85, + "learning_rate": 2.92804067036081e-06, + "loss": 3.9723, + "step": 6633 + }, + { + "epoch": 0.85, + "learning_rate": 2.9231748848478374e-06, + "loss": 3.6692, + "step": 6634 + }, + { + "epoch": 0.85, + "learning_rate": 2.918312894597039e-06, + "loss": 3.9173, + "step": 6635 + }, + { + "epoch": 0.85, + "learning_rate": 2.913454700444246e-06, + "loss": 3.926, + "step": 6636 + }, + { + "epoch": 0.85, + "learning_rate": 2.9086003032246403e-06, + "loss": 3.9831, + "step": 6637 + }, + { + "epoch": 0.85, + "learning_rate": 2.903749703772743e-06, + "loss": 3.8382, + "step": 6638 + }, + { + "epoch": 0.85, + "learning_rate": 2.8989029029224376e-06, + "loss": 3.9878, + "step": 6639 + }, + { + "epoch": 0.85, + "learning_rate": 2.8940599015069404e-06, + "loss": 3.8527, + "step": 6640 + }, + { + "epoch": 0.85, + "learning_rate": 2.8892207003588217e-06, + "loss": 3.7888, + "step": 6641 + }, + { + "epoch": 0.85, + "learning_rate": 2.8843853003099885e-06, + "loss": 3.9291, + "step": 6642 + }, + { + "epoch": 0.85, + "learning_rate": 2.879553702191715e-06, + "loss": 3.8243, + "step": 6643 + }, + { + "epoch": 0.85, + "learning_rate": 2.8747259068346022e-06, + "loss": 3.925, + "step": 6644 + }, + { + "epoch": 0.85, + "learning_rate": 2.869901915068596e-06, + "loss": 3.8895, + "step": 6645 + }, + { + "epoch": 0.85, + "learning_rate": 2.8650817277230123e-06, + "loss": 3.9008, + "step": 6646 + }, + { + "epoch": 0.85, + "learning_rate": 2.860265345626489e-06, + "loss": 3.9012, + "step": 6647 + }, + { + "epoch": 0.85, + "learning_rate": 2.85545276960702e-06, + "loss": 3.8293, + "step": 6648 + }, + { + "epoch": 0.85, + "learning_rate": 2.850644000491942e-06, + "loss": 3.8695, + "step": 6649 + }, + { + "epoch": 0.85, + "learning_rate": 2.8458390391079363e-06, + "loss": 3.9972, + "step": 6650 + }, + { + "epoch": 0.85, + "learning_rate": 2.8410378862810256e-06, + "loss": 3.8986, + "step": 6651 + }, + { + "epoch": 0.85, + "learning_rate": 2.836240542836599e-06, + "loss": 4.022, + "step": 6652 + }, + { + "epoch": 0.85, + "learning_rate": 2.8314470095993612e-06, + "loss": 3.8873, + "step": 6653 + }, + { + "epoch": 0.85, + "learning_rate": 2.826657287393389e-06, + "loss": 3.8352, + "step": 6654 + }, + { + "epoch": 0.85, + "learning_rate": 2.8218713770420817e-06, + "loss": 3.9207, + "step": 6655 + }, + { + "epoch": 0.85, + "learning_rate": 2.8170892793681987e-06, + "loss": 3.9063, + "step": 6656 + }, + { + "epoch": 0.85, + "learning_rate": 2.812310995193834e-06, + "loss": 3.894, + "step": 6657 + }, + { + "epoch": 0.85, + "learning_rate": 2.807536525340429e-06, + "loss": 3.8835, + "step": 6658 + }, + { + "epoch": 0.85, + "learning_rate": 2.802765870628768e-06, + "loss": 4.0454, + "step": 6659 + }, + { + "epoch": 0.85, + "learning_rate": 2.797999031878992e-06, + "loss": 3.7625, + "step": 6660 + }, + { + "epoch": 0.85, + "learning_rate": 2.7932360099105658e-06, + "loss": 3.9717, + "step": 6661 + }, + { + "epoch": 0.85, + "learning_rate": 2.788476805542317e-06, + "loss": 3.76, + "step": 6662 + }, + { + "epoch": 0.85, + "learning_rate": 2.7837214195924026e-06, + "loss": 3.9536, + "step": 6663 + }, + { + "epoch": 0.85, + "learning_rate": 2.7789698528783324e-06, + "loss": 3.9077, + "step": 6664 + }, + { + "epoch": 0.85, + "learning_rate": 2.7742221062169505e-06, + "loss": 4.0505, + "step": 6665 + }, + { + "epoch": 0.85, + "learning_rate": 2.769478180424445e-06, + "loss": 3.824, + "step": 6666 + }, + { + "epoch": 0.85, + "learning_rate": 2.7647380763163673e-06, + "loss": 3.9056, + "step": 6667 + }, + { + "epoch": 0.85, + "learning_rate": 2.760001794707584e-06, + "loss": 3.7411, + "step": 6668 + }, + { + "epoch": 0.85, + "learning_rate": 2.7552693364123224e-06, + "loss": 3.8783, + "step": 6669 + }, + { + "epoch": 0.85, + "learning_rate": 2.7505407022441393e-06, + "loss": 3.8249, + "step": 6670 + }, + { + "epoch": 0.85, + "learning_rate": 2.7458158930159517e-06, + "loss": 3.9149, + "step": 6671 + }, + { + "epoch": 0.85, + "learning_rate": 2.7410949095400068e-06, + "loss": 3.8104, + "step": 6672 + }, + { + "epoch": 0.85, + "learning_rate": 2.7363777526278915e-06, + "loss": 3.884, + "step": 6673 + }, + { + "epoch": 0.85, + "learning_rate": 2.731664423090541e-06, + "loss": 3.8641, + "step": 6674 + }, + { + "epoch": 0.85, + "learning_rate": 2.726954921738234e-06, + "loss": 3.8845, + "step": 6675 + }, + { + "epoch": 0.85, + "learning_rate": 2.7222492493805903e-06, + "loss": 3.8156, + "step": 6676 + }, + { + "epoch": 0.85, + "learning_rate": 2.717547406826565e-06, + "loss": 3.8363, + "step": 6677 + }, + { + "epoch": 0.85, + "learning_rate": 2.712849394884462e-06, + "loss": 4.0145, + "step": 6678 + }, + { + "epoch": 0.85, + "learning_rate": 2.7081552143619183e-06, + "loss": 3.8139, + "step": 6679 + }, + { + "epoch": 0.86, + "learning_rate": 2.7034648660659244e-06, + "loss": 3.9587, + "step": 6680 + }, + { + "epoch": 0.86, + "learning_rate": 2.6987783508028025e-06, + "loss": 3.83, + "step": 6681 + }, + { + "epoch": 0.86, + "learning_rate": 2.6940956693782214e-06, + "loss": 3.9638, + "step": 6682 + }, + { + "epoch": 0.86, + "learning_rate": 2.6894168225971877e-06, + "loss": 3.8699, + "step": 6683 + }, + { + "epoch": 0.86, + "learning_rate": 2.684741811264052e-06, + "loss": 3.8034, + "step": 6684 + }, + { + "epoch": 0.86, + "learning_rate": 2.680070636182497e-06, + "loss": 3.8429, + "step": 6685 + }, + { + "epoch": 0.86, + "learning_rate": 2.6754032981555544e-06, + "loss": 3.7917, + "step": 6686 + }, + { + "epoch": 0.86, + "learning_rate": 2.6707397979855884e-06, + "loss": 3.9028, + "step": 6687 + }, + { + "epoch": 0.86, + "learning_rate": 2.6660801364743136e-06, + "loss": 3.9449, + "step": 6688 + }, + { + "epoch": 0.86, + "learning_rate": 2.6614243144227892e-06, + "loss": 3.8017, + "step": 6689 + }, + { + "epoch": 0.86, + "learning_rate": 2.6567723326313908e-06, + "loss": 4.0278, + "step": 6690 + }, + { + "epoch": 0.86, + "learning_rate": 2.6521241918998575e-06, + "loss": 3.8989, + "step": 6691 + }, + { + "epoch": 0.86, + "learning_rate": 2.647479893027252e-06, + "loss": 3.811, + "step": 6692 + }, + { + "epoch": 0.86, + "learning_rate": 2.6428394368119864e-06, + "loss": 3.8543, + "step": 6693 + }, + { + "epoch": 0.86, + "learning_rate": 2.638202824051808e-06, + "loss": 3.9338, + "step": 6694 + }, + { + "epoch": 0.86, + "learning_rate": 2.633570055543802e-06, + "loss": 3.9993, + "step": 6695 + }, + { + "epoch": 0.86, + "learning_rate": 2.6289411320843976e-06, + "loss": 3.9072, + "step": 6696 + }, + { + "epoch": 0.86, + "learning_rate": 2.624316054469364e-06, + "loss": 3.8799, + "step": 6697 + }, + { + "epoch": 0.86, + "learning_rate": 2.6196948234937957e-06, + "loss": 3.8623, + "step": 6698 + }, + { + "epoch": 0.86, + "learning_rate": 2.615077439952146e-06, + "loss": 3.8738, + "step": 6699 + }, + { + "epoch": 0.86, + "learning_rate": 2.6104639046381912e-06, + "loss": 3.8929, + "step": 6700 + }, + { + "epoch": 0.86, + "learning_rate": 2.605854218345055e-06, + "loss": 3.859, + "step": 6701 + }, + { + "epoch": 0.86, + "learning_rate": 2.60124838186519e-06, + "loss": 3.7593, + "step": 6702 + }, + { + "epoch": 0.86, + "learning_rate": 2.5966463959904014e-06, + "loss": 3.9918, + "step": 6703 + }, + { + "epoch": 0.86, + "learning_rate": 2.5920482615118175e-06, + "loss": 3.9464, + "step": 6704 + }, + { + "epoch": 0.86, + "learning_rate": 2.587453979219914e-06, + "loss": 3.9946, + "step": 6705 + }, + { + "epoch": 0.86, + "learning_rate": 2.582863549904499e-06, + "loss": 3.8376, + "step": 6706 + }, + { + "epoch": 0.86, + "learning_rate": 2.578276974354718e-06, + "loss": 3.7936, + "step": 6707 + }, + { + "epoch": 0.86, + "learning_rate": 2.573694253359063e-06, + "loss": 3.7127, + "step": 6708 + }, + { + "epoch": 0.86, + "learning_rate": 2.5691153877053562e-06, + "loss": 3.8899, + "step": 6709 + }, + { + "epoch": 0.86, + "learning_rate": 2.564540378180749e-06, + "loss": 3.9115, + "step": 6710 + }, + { + "epoch": 0.86, + "learning_rate": 2.559969225571751e-06, + "loss": 3.7541, + "step": 6711 + }, + { + "epoch": 0.86, + "learning_rate": 2.555401930664189e-06, + "loss": 3.9343, + "step": 6712 + }, + { + "epoch": 0.86, + "learning_rate": 2.550838494243235e-06, + "loss": 3.906, + "step": 6713 + }, + { + "epoch": 0.86, + "learning_rate": 2.546278917093398e-06, + "loss": 3.86, + "step": 6714 + }, + { + "epoch": 0.86, + "learning_rate": 2.541723199998522e-06, + "loss": 4.0122, + "step": 6715 + }, + { + "epoch": 0.86, + "learning_rate": 2.537171343741779e-06, + "loss": 3.8017, + "step": 6716 + }, + { + "epoch": 0.86, + "learning_rate": 2.532623349105695e-06, + "loss": 3.937, + "step": 6717 + }, + { + "epoch": 0.86, + "learning_rate": 2.528079216872126e-06, + "loss": 3.999, + "step": 6718 + }, + { + "epoch": 0.86, + "learning_rate": 2.5235389478222572e-06, + "loss": 4.029, + "step": 6719 + }, + { + "epoch": 0.86, + "learning_rate": 2.519002542736612e-06, + "loss": 3.8052, + "step": 6720 + }, + { + "epoch": 0.86, + "learning_rate": 2.514470002395053e-06, + "loss": 3.7919, + "step": 6721 + }, + { + "epoch": 0.86, + "learning_rate": 2.509941327576773e-06, + "loss": 3.8992, + "step": 6722 + }, + { + "epoch": 0.86, + "learning_rate": 2.5054165190603025e-06, + "loss": 3.8547, + "step": 6723 + }, + { + "epoch": 0.86, + "learning_rate": 2.500895577623516e-06, + "loss": 3.7717, + "step": 6724 + }, + { + "epoch": 0.86, + "learning_rate": 2.496378504043609e-06, + "loss": 3.9936, + "step": 6725 + }, + { + "epoch": 0.86, + "learning_rate": 2.4918652990971236e-06, + "loss": 3.9017, + "step": 6726 + }, + { + "epoch": 0.86, + "learning_rate": 2.4873559635599313e-06, + "loss": 3.856, + "step": 6727 + }, + { + "epoch": 0.86, + "learning_rate": 2.48285049820724e-06, + "loss": 3.8156, + "step": 6728 + }, + { + "epoch": 0.86, + "learning_rate": 2.478348903813585e-06, + "loss": 3.8552, + "step": 6729 + }, + { + "epoch": 0.86, + "learning_rate": 2.4738511811528505e-06, + "loss": 3.9266, + "step": 6730 + }, + { + "epoch": 0.86, + "learning_rate": 2.4693573309982343e-06, + "loss": 3.9519, + "step": 6731 + }, + { + "epoch": 0.86, + "learning_rate": 2.4648673541222995e-06, + "loss": 3.9717, + "step": 6732 + }, + { + "epoch": 0.86, + "learning_rate": 2.4603812512969143e-06, + "loss": 3.8698, + "step": 6733 + }, + { + "epoch": 0.86, + "learning_rate": 2.4558990232932953e-06, + "loss": 3.9125, + "step": 6734 + }, + { + "epoch": 0.86, + "learning_rate": 2.451420670881982e-06, + "loss": 3.927, + "step": 6735 + }, + { + "epoch": 0.86, + "learning_rate": 2.4469461948328637e-06, + "loss": 3.795, + "step": 6736 + }, + { + "epoch": 0.86, + "learning_rate": 2.4424755959151556e-06, + "loss": 3.8764, + "step": 6737 + }, + { + "epoch": 0.86, + "learning_rate": 2.4380088748973933e-06, + "loss": 3.8842, + "step": 6738 + }, + { + "epoch": 0.86, + "learning_rate": 2.4335460325474736e-06, + "loss": 3.9026, + "step": 6739 + }, + { + "epoch": 0.86, + "learning_rate": 2.4290870696326046e-06, + "loss": 4.0167, + "step": 6740 + }, + { + "epoch": 0.86, + "learning_rate": 2.4246319869193317e-06, + "loss": 4.1043, + "step": 6741 + }, + { + "epoch": 0.86, + "learning_rate": 2.4201807851735344e-06, + "loss": 4.0417, + "step": 6742 + }, + { + "epoch": 0.86, + "learning_rate": 2.4157334651604303e-06, + "loss": 3.9314, + "step": 6743 + }, + { + "epoch": 0.86, + "learning_rate": 2.4112900276445582e-06, + "loss": 3.9507, + "step": 6744 + }, + { + "epoch": 0.86, + "learning_rate": 2.406850473389799e-06, + "loss": 3.895, + "step": 6745 + }, + { + "epoch": 0.86, + "learning_rate": 2.4024148031593723e-06, + "loss": 3.8877, + "step": 6746 + }, + { + "epoch": 0.86, + "learning_rate": 2.397983017715813e-06, + "loss": 3.8494, + "step": 6747 + }, + { + "epoch": 0.86, + "learning_rate": 2.393555117821e-06, + "loss": 3.8096, + "step": 6748 + }, + { + "epoch": 0.86, + "learning_rate": 2.3891311042361366e-06, + "loss": 3.8765, + "step": 6749 + }, + { + "epoch": 0.86, + "learning_rate": 2.384710977721766e-06, + "loss": 3.9076, + "step": 6750 + }, + { + "epoch": 0.86, + "learning_rate": 2.3802947390377556e-06, + "loss": 3.7307, + "step": 6751 + }, + { + "epoch": 0.86, + "learning_rate": 2.3758823889433068e-06, + "loss": 3.8214, + "step": 6752 + }, + { + "epoch": 0.86, + "learning_rate": 2.3714739281969546e-06, + "loss": 4.0425, + "step": 6753 + }, + { + "epoch": 0.86, + "learning_rate": 2.367069357556573e-06, + "loss": 3.7521, + "step": 6754 + }, + { + "epoch": 0.86, + "learning_rate": 2.3626686777793504e-06, + "loss": 3.8522, + "step": 6755 + }, + { + "epoch": 0.86, + "learning_rate": 2.3582718896218187e-06, + "loss": 3.9689, + "step": 6756 + }, + { + "epoch": 0.86, + "learning_rate": 2.3538789938398335e-06, + "loss": 4.0187, + "step": 6757 + }, + { + "epoch": 0.87, + "learning_rate": 2.349489991188586e-06, + "loss": 3.8854, + "step": 6758 + }, + { + "epoch": 0.87, + "learning_rate": 2.3451048824225914e-06, + "loss": 3.8173, + "step": 6759 + }, + { + "epoch": 0.87, + "learning_rate": 2.340723668295711e-06, + "loss": 3.8677, + "step": 6760 + }, + { + "epoch": 0.87, + "learning_rate": 2.3363463495611194e-06, + "loss": 3.8191, + "step": 6761 + }, + { + "epoch": 0.87, + "learning_rate": 2.3319729269713263e-06, + "loss": 3.8082, + "step": 6762 + }, + { + "epoch": 0.87, + "learning_rate": 2.3276034012781803e-06, + "loss": 3.9091, + "step": 6763 + }, + { + "epoch": 0.87, + "learning_rate": 2.323237773232853e-06, + "loss": 3.8444, + "step": 6764 + }, + { + "epoch": 0.87, + "learning_rate": 2.3188760435858435e-06, + "loss": 4.0054, + "step": 6765 + }, + { + "epoch": 0.87, + "learning_rate": 2.3145182130869775e-06, + "loss": 3.9753, + "step": 6766 + }, + { + "epoch": 0.87, + "learning_rate": 2.31016428248543e-06, + "loss": 4.0466, + "step": 6767 + }, + { + "epoch": 0.87, + "learning_rate": 2.3058142525296866e-06, + "loss": 3.7657, + "step": 6768 + }, + { + "epoch": 0.87, + "learning_rate": 2.301468123967565e-06, + "loss": 3.9582, + "step": 6769 + }, + { + "epoch": 0.87, + "learning_rate": 2.297125897546215e-06, + "loss": 3.9195, + "step": 6770 + }, + { + "epoch": 0.87, + "learning_rate": 2.29278757401212e-06, + "loss": 3.8629, + "step": 6771 + }, + { + "epoch": 0.87, + "learning_rate": 2.288453154111081e-06, + "loss": 3.8401, + "step": 6772 + }, + { + "epoch": 0.87, + "learning_rate": 2.2841226385882432e-06, + "loss": 4.0229, + "step": 6773 + }, + { + "epoch": 0.87, + "learning_rate": 2.2797960281880665e-06, + "loss": 3.9991, + "step": 6774 + }, + { + "epoch": 0.87, + "learning_rate": 2.2754733236543507e-06, + "loss": 3.9062, + "step": 6775 + }, + { + "epoch": 0.87, + "learning_rate": 2.2711545257302153e-06, + "loss": 3.8502, + "step": 6776 + }, + { + "epoch": 0.87, + "learning_rate": 2.2668396351581135e-06, + "loss": 3.9413, + "step": 6777 + }, + { + "epoch": 0.87, + "learning_rate": 2.262528652679824e-06, + "loss": 3.8511, + "step": 6778 + }, + { + "epoch": 0.87, + "learning_rate": 2.258221579036454e-06, + "loss": 4.0381, + "step": 6779 + }, + { + "epoch": 0.87, + "learning_rate": 2.2539184149684338e-06, + "loss": 3.8676, + "step": 6780 + }, + { + "epoch": 0.87, + "learning_rate": 2.2496191612155356e-06, + "loss": 3.9564, + "step": 6781 + }, + { + "epoch": 0.87, + "learning_rate": 2.2453238185168507e-06, + "loss": 3.9132, + "step": 6782 + }, + { + "epoch": 0.87, + "learning_rate": 2.2410323876107977e-06, + "loss": 3.8786, + "step": 6783 + }, + { + "epoch": 0.87, + "learning_rate": 2.2367448692351217e-06, + "loss": 3.8414, + "step": 6784 + }, + { + "epoch": 0.87, + "learning_rate": 2.2324612641268977e-06, + "loss": 3.7843, + "step": 6785 + }, + { + "epoch": 0.87, + "learning_rate": 2.2281815730225252e-06, + "loss": 4.0126, + "step": 6786 + }, + { + "epoch": 0.87, + "learning_rate": 2.22390579665773e-06, + "loss": 3.9064, + "step": 6787 + }, + { + "epoch": 0.87, + "learning_rate": 2.219633935767576e-06, + "loss": 3.9621, + "step": 6788 + }, + { + "epoch": 0.87, + "learning_rate": 2.215365991086443e-06, + "loss": 3.8643, + "step": 6789 + }, + { + "epoch": 0.87, + "learning_rate": 2.2111019633480305e-06, + "loss": 3.9769, + "step": 6790 + }, + { + "epoch": 0.87, + "learning_rate": 2.206841853285388e-06, + "loss": 3.8491, + "step": 6791 + }, + { + "epoch": 0.87, + "learning_rate": 2.202585661630871e-06, + "loss": 3.7593, + "step": 6792 + }, + { + "epoch": 0.87, + "learning_rate": 2.1983333891161723e-06, + "loss": 3.9124, + "step": 6793 + }, + { + "epoch": 0.87, + "learning_rate": 2.1940850364723016e-06, + "loss": 3.9699, + "step": 6794 + }, + { + "epoch": 0.87, + "learning_rate": 2.1898406044295966e-06, + "loss": 3.8202, + "step": 6795 + }, + { + "epoch": 0.87, + "learning_rate": 2.185600093717735e-06, + "loss": 4.0394, + "step": 6796 + }, + { + "epoch": 0.87, + "learning_rate": 2.181363505065703e-06, + "loss": 3.8408, + "step": 6797 + }, + { + "epoch": 0.87, + "learning_rate": 2.1771308392018213e-06, + "loss": 3.874, + "step": 6798 + }, + { + "epoch": 0.87, + "learning_rate": 2.1729020968537296e-06, + "loss": 3.89, + "step": 6799 + }, + { + "epoch": 0.87, + "learning_rate": 2.168677278748407e-06, + "loss": 3.9233, + "step": 6800 + }, + { + "epoch": 0.87, + "learning_rate": 2.164456385612143e-06, + "loss": 3.8842, + "step": 6801 + }, + { + "epoch": 0.87, + "learning_rate": 2.1602394181705566e-06, + "loss": 3.8797, + "step": 6802 + }, + { + "epoch": 0.87, + "learning_rate": 2.1560263771485984e-06, + "loss": 3.9786, + "step": 6803 + }, + { + "epoch": 0.87, + "learning_rate": 2.1518172632705338e-06, + "loss": 3.9951, + "step": 6804 + }, + { + "epoch": 0.87, + "learning_rate": 2.1476120772599613e-06, + "loss": 3.8811, + "step": 6805 + }, + { + "epoch": 0.87, + "learning_rate": 2.1434108198398027e-06, + "loss": 3.9729, + "step": 6806 + }, + { + "epoch": 0.87, + "learning_rate": 2.1392134917322974e-06, + "loss": 3.7738, + "step": 6807 + }, + { + "epoch": 0.87, + "learning_rate": 2.135020093659015e-06, + "loss": 3.8534, + "step": 6808 + }, + { + "epoch": 0.87, + "learning_rate": 2.1308306263408574e-06, + "loss": 3.8848, + "step": 6809 + }, + { + "epoch": 0.87, + "learning_rate": 2.1266450904980333e-06, + "loss": 3.8708, + "step": 6810 + }, + { + "epoch": 0.87, + "learning_rate": 2.1224634868500902e-06, + "loss": 3.8469, + "step": 6811 + }, + { + "epoch": 0.87, + "learning_rate": 2.1182858161158948e-06, + "loss": 3.9786, + "step": 6812 + }, + { + "epoch": 0.87, + "learning_rate": 2.114112079013636e-06, + "loss": 3.9529, + "step": 6813 + }, + { + "epoch": 0.87, + "learning_rate": 2.1099422762608264e-06, + "loss": 3.9611, + "step": 6814 + }, + { + "epoch": 0.87, + "learning_rate": 2.105776408574303e-06, + "loss": 3.8036, + "step": 6815 + }, + { + "epoch": 0.87, + "learning_rate": 2.1016144766702215e-06, + "loss": 3.951, + "step": 6816 + }, + { + "epoch": 0.87, + "learning_rate": 2.097456481264079e-06, + "loss": 3.8675, + "step": 6817 + }, + { + "epoch": 0.87, + "learning_rate": 2.0933024230706725e-06, + "loss": 3.9386, + "step": 6818 + }, + { + "epoch": 0.87, + "learning_rate": 2.08915230280414e-06, + "loss": 3.848, + "step": 6819 + }, + { + "epoch": 0.87, + "learning_rate": 2.085006121177932e-06, + "loss": 3.9239, + "step": 6820 + }, + { + "epoch": 0.87, + "learning_rate": 2.0808638789048263e-06, + "loss": 3.7964, + "step": 6821 + }, + { + "epoch": 0.87, + "learning_rate": 2.0767255766969196e-06, + "loss": 3.7968, + "step": 6822 + }, + { + "epoch": 0.87, + "learning_rate": 2.072591215265632e-06, + "loss": 3.8528, + "step": 6823 + }, + { + "epoch": 0.87, + "learning_rate": 2.0684607953217166e-06, + "loss": 4.0395, + "step": 6824 + }, + { + "epoch": 0.87, + "learning_rate": 2.0643343175752367e-06, + "loss": 3.9256, + "step": 6825 + }, + { + "epoch": 0.87, + "learning_rate": 2.0602117827355773e-06, + "loss": 3.948, + "step": 6826 + }, + { + "epoch": 0.87, + "learning_rate": 2.0560931915114517e-06, + "loss": 3.9658, + "step": 6827 + }, + { + "epoch": 0.87, + "learning_rate": 2.0519785446108997e-06, + "loss": 3.919, + "step": 6828 + }, + { + "epoch": 0.87, + "learning_rate": 2.047867842741272e-06, + "loss": 4.0258, + "step": 6829 + }, + { + "epoch": 0.87, + "learning_rate": 2.0437610866092444e-06, + "loss": 3.9861, + "step": 6830 + }, + { + "epoch": 0.87, + "learning_rate": 2.0396582769208137e-06, + "loss": 3.9416, + "step": 6831 + }, + { + "epoch": 0.87, + "learning_rate": 2.035559414381308e-06, + "loss": 3.8621, + "step": 6832 + }, + { + "epoch": 0.87, + "learning_rate": 2.031464499695368e-06, + "loss": 3.7982, + "step": 6833 + }, + { + "epoch": 0.87, + "learning_rate": 2.0273735335669538e-06, + "loss": 3.8946, + "step": 6834 + }, + { + "epoch": 0.87, + "learning_rate": 2.0232865166993493e-06, + "loss": 3.8911, + "step": 6835 + }, + { + "epoch": 0.88, + "learning_rate": 2.0192034497951566e-06, + "loss": 3.8872, + "step": 6836 + }, + { + "epoch": 0.88, + "learning_rate": 2.0151243335563148e-06, + "loss": 3.9888, + "step": 6837 + }, + { + "epoch": 0.88, + "learning_rate": 2.0110491686840566e-06, + "loss": 3.9734, + "step": 6838 + }, + { + "epoch": 0.88, + "learning_rate": 2.0069779558789608e-06, + "loss": 3.8692, + "step": 6839 + }, + { + "epoch": 0.88, + "learning_rate": 2.002910695840915e-06, + "loss": 3.8365, + "step": 6840 + }, + { + "epoch": 0.88, + "learning_rate": 1.9988473892691232e-06, + "loss": 3.8991, + "step": 6841 + }, + { + "epoch": 0.88, + "learning_rate": 1.994788036862119e-06, + "loss": 3.8719, + "step": 6842 + }, + { + "epoch": 0.88, + "learning_rate": 1.9907326393177523e-06, + "loss": 3.9319, + "step": 6843 + }, + { + "epoch": 0.88, + "learning_rate": 1.9866811973331845e-06, + "loss": 3.9605, + "step": 6844 + }, + { + "epoch": 0.88, + "learning_rate": 1.982633711604917e-06, + "loss": 4.0459, + "step": 6845 + }, + { + "epoch": 0.88, + "learning_rate": 1.978590182828749e-06, + "loss": 3.9644, + "step": 6846 + }, + { + "epoch": 0.88, + "learning_rate": 1.9745506116998214e-06, + "loss": 3.8021, + "step": 6847 + }, + { + "epoch": 0.88, + "learning_rate": 1.970514998912576e-06, + "loss": 3.8356, + "step": 6848 + }, + { + "epoch": 0.88, + "learning_rate": 1.9664833451607857e-06, + "loss": 3.9148, + "step": 6849 + }, + { + "epoch": 0.88, + "learning_rate": 1.962455651137535e-06, + "loss": 3.8902, + "step": 6850 + }, + { + "epoch": 0.88, + "learning_rate": 1.9584319175352306e-06, + "loss": 3.9366, + "step": 6851 + }, + { + "epoch": 0.88, + "learning_rate": 1.9544121450455977e-06, + "loss": 3.8295, + "step": 6852 + }, + { + "epoch": 0.88, + "learning_rate": 1.950396334359686e-06, + "loss": 3.9215, + "step": 6853 + }, + { + "epoch": 0.88, + "learning_rate": 1.946384486167863e-06, + "loss": 3.8785, + "step": 6854 + }, + { + "epoch": 0.88, + "learning_rate": 1.9423766011597982e-06, + "loss": 3.8519, + "step": 6855 + }, + { + "epoch": 0.88, + "learning_rate": 1.9383726800245084e-06, + "loss": 3.8182, + "step": 6856 + }, + { + "epoch": 0.88, + "learning_rate": 1.934372723450309e-06, + "loss": 3.9573, + "step": 6857 + }, + { + "epoch": 0.88, + "learning_rate": 1.9303767321248387e-06, + "loss": 3.8204, + "step": 6858 + }, + { + "epoch": 0.88, + "learning_rate": 1.926384706735049e-06, + "loss": 3.9405, + "step": 6859 + }, + { + "epoch": 0.88, + "learning_rate": 1.9223966479672255e-06, + "loss": 4.0302, + "step": 6860 + }, + { + "epoch": 0.88, + "learning_rate": 1.9184125565069542e-06, + "loss": 3.7753, + "step": 6861 + }, + { + "epoch": 0.88, + "learning_rate": 1.914432433039151e-06, + "loss": 3.8241, + "step": 6862 + }, + { + "epoch": 0.88, + "learning_rate": 1.9104562782480436e-06, + "loss": 3.9709, + "step": 6863 + }, + { + "epoch": 0.88, + "learning_rate": 1.9064840928171763e-06, + "loss": 3.8888, + "step": 6864 + }, + { + "epoch": 0.88, + "learning_rate": 1.9025158774294172e-06, + "loss": 3.8622, + "step": 6865 + }, + { + "epoch": 0.88, + "learning_rate": 1.898551632766951e-06, + "loss": 3.9378, + "step": 6866 + }, + { + "epoch": 0.88, + "learning_rate": 1.894591359511269e-06, + "loss": 3.9436, + "step": 6867 + }, + { + "epoch": 0.88, + "learning_rate": 1.8906350583431958e-06, + "loss": 3.7543, + "step": 6868 + }, + { + "epoch": 0.88, + "learning_rate": 1.8866827299428652e-06, + "loss": 3.9615, + "step": 6869 + }, + { + "epoch": 0.88, + "learning_rate": 1.8827343749897226e-06, + "loss": 3.9634, + "step": 6870 + }, + { + "epoch": 0.88, + "learning_rate": 1.8787899941625414e-06, + "loss": 3.8615, + "step": 6871 + }, + { + "epoch": 0.88, + "learning_rate": 1.8748495881394046e-06, + "loss": 3.847, + "step": 6872 + }, + { + "epoch": 0.88, + "learning_rate": 1.870913157597709e-06, + "loss": 3.8468, + "step": 6873 + }, + { + "epoch": 0.88, + "learning_rate": 1.8669807032141772e-06, + "loss": 3.8654, + "step": 6874 + }, + { + "epoch": 0.88, + "learning_rate": 1.8630522256648463e-06, + "loss": 3.6911, + "step": 6875 + }, + { + "epoch": 0.88, + "learning_rate": 1.859127725625065e-06, + "loss": 3.7465, + "step": 6876 + }, + { + "epoch": 0.88, + "learning_rate": 1.855207203769499e-06, + "loss": 3.9312, + "step": 6877 + }, + { + "epoch": 0.88, + "learning_rate": 1.8512906607721342e-06, + "loss": 3.9333, + "step": 6878 + }, + { + "epoch": 0.88, + "learning_rate": 1.8473780973062655e-06, + "loss": 3.8729, + "step": 6879 + }, + { + "epoch": 0.88, + "learning_rate": 1.8434695140445073e-06, + "loss": 3.7304, + "step": 6880 + }, + { + "epoch": 0.88, + "learning_rate": 1.8395649116587977e-06, + "loss": 3.9021, + "step": 6881 + }, + { + "epoch": 0.88, + "learning_rate": 1.835664290820377e-06, + "loss": 3.938, + "step": 6882 + }, + { + "epoch": 0.88, + "learning_rate": 1.8317676521998034e-06, + "loss": 3.9981, + "step": 6883 + }, + { + "epoch": 0.88, + "learning_rate": 1.8278749964669661e-06, + "loss": 3.8874, + "step": 6884 + }, + { + "epoch": 0.88, + "learning_rate": 1.8239863242910521e-06, + "loss": 3.9027, + "step": 6885 + }, + { + "epoch": 0.88, + "learning_rate": 1.8201016363405654e-06, + "loss": 3.9549, + "step": 6886 + }, + { + "epoch": 0.88, + "learning_rate": 1.8162209332833358e-06, + "loss": 4.0155, + "step": 6887 + }, + { + "epoch": 0.88, + "learning_rate": 1.8123442157864906e-06, + "loss": 3.808, + "step": 6888 + }, + { + "epoch": 0.88, + "learning_rate": 1.8084714845164913e-06, + "loss": 3.9247, + "step": 6889 + }, + { + "epoch": 0.88, + "learning_rate": 1.8046027401391053e-06, + "loss": 3.8655, + "step": 6890 + }, + { + "epoch": 0.88, + "learning_rate": 1.8007379833194144e-06, + "loss": 3.8249, + "step": 6891 + }, + { + "epoch": 0.88, + "learning_rate": 1.7968772147218066e-06, + "loss": 3.8821, + "step": 6892 + }, + { + "epoch": 0.88, + "learning_rate": 1.7930204350100038e-06, + "loss": 4.0085, + "step": 6893 + }, + { + "epoch": 0.88, + "learning_rate": 1.7891676448470256e-06, + "loss": 3.9741, + "step": 6894 + }, + { + "epoch": 0.88, + "learning_rate": 1.785318844895209e-06, + "loss": 3.9573, + "step": 6895 + }, + { + "epoch": 0.88, + "learning_rate": 1.7814740358162136e-06, + "loss": 3.9272, + "step": 6896 + }, + { + "epoch": 0.88, + "learning_rate": 1.7776332182710047e-06, + "loss": 3.9543, + "step": 6897 + }, + { + "epoch": 0.88, + "learning_rate": 1.773796392919863e-06, + "loss": 3.9909, + "step": 6898 + }, + { + "epoch": 0.88, + "learning_rate": 1.7699635604223829e-06, + "loss": 3.9331, + "step": 6899 + }, + { + "epoch": 0.88, + "learning_rate": 1.7661347214374707e-06, + "loss": 3.8804, + "step": 6900 + }, + { + "epoch": 0.88, + "learning_rate": 1.762309876623347e-06, + "loss": 3.8995, + "step": 6901 + }, + { + "epoch": 0.88, + "learning_rate": 1.7584890266375553e-06, + "loss": 3.9827, + "step": 6902 + }, + { + "epoch": 0.88, + "learning_rate": 1.7546721721369313e-06, + "loss": 4.0306, + "step": 6903 + }, + { + "epoch": 0.88, + "learning_rate": 1.7508593137776503e-06, + "loss": 3.9854, + "step": 6904 + }, + { + "epoch": 0.88, + "learning_rate": 1.7470504522151792e-06, + "loss": 4.0119, + "step": 6905 + }, + { + "epoch": 0.88, + "learning_rate": 1.7432455881043086e-06, + "loss": 3.9895, + "step": 6906 + }, + { + "epoch": 0.88, + "learning_rate": 1.7394447220991345e-06, + "loss": 4.0353, + "step": 6907 + }, + { + "epoch": 0.88, + "learning_rate": 1.735647854853073e-06, + "loss": 3.8317, + "step": 6908 + }, + { + "epoch": 0.88, + "learning_rate": 1.7318549870188467e-06, + "loss": 3.8176, + "step": 6909 + }, + { + "epoch": 0.88, + "learning_rate": 1.728066119248492e-06, + "loss": 3.8042, + "step": 6910 + }, + { + "epoch": 0.88, + "learning_rate": 1.7242812521933689e-06, + "loss": 3.9204, + "step": 6911 + }, + { + "epoch": 0.88, + "learning_rate": 1.7205003865041341e-06, + "loss": 3.7962, + "step": 6912 + }, + { + "epoch": 0.88, + "learning_rate": 1.7167235228307627e-06, + "loss": 3.7999, + "step": 6913 + }, + { + "epoch": 0.88, + "learning_rate": 1.7129506618225376e-06, + "loss": 3.9134, + "step": 6914 + }, + { + "epoch": 0.89, + "learning_rate": 1.7091818041280626e-06, + "loss": 3.9693, + "step": 6915 + }, + { + "epoch": 0.89, + "learning_rate": 1.7054169503952415e-06, + "loss": 3.9023, + "step": 6916 + }, + { + "epoch": 0.89, + "learning_rate": 1.7016561012713039e-06, + "loss": 3.9523, + "step": 6917 + }, + { + "epoch": 0.89, + "learning_rate": 1.6978992574027824e-06, + "loss": 3.9715, + "step": 6918 + }, + { + "epoch": 0.89, + "learning_rate": 1.6941464194355189e-06, + "loss": 3.9366, + "step": 6919 + }, + { + "epoch": 0.89, + "learning_rate": 1.690397588014664e-06, + "loss": 3.9423, + "step": 6920 + }, + { + "epoch": 0.89, + "learning_rate": 1.686652763784699e-06, + "loss": 3.8165, + "step": 6921 + }, + { + "epoch": 0.89, + "learning_rate": 1.6829119473893927e-06, + "loss": 3.909, + "step": 6922 + }, + { + "epoch": 0.89, + "learning_rate": 1.6791751394718391e-06, + "loss": 3.9019, + "step": 6923 + }, + { + "epoch": 0.89, + "learning_rate": 1.6754423406744323e-06, + "loss": 3.9273, + "step": 6924 + }, + { + "epoch": 0.89, + "learning_rate": 1.6717135516388928e-06, + "loss": 3.9138, + "step": 6925 + }, + { + "epoch": 0.89, + "learning_rate": 1.6679887730062405e-06, + "loss": 3.847, + "step": 6926 + }, + { + "epoch": 0.89, + "learning_rate": 1.6642680054168024e-06, + "loss": 3.968, + "step": 6927 + }, + { + "epoch": 0.89, + "learning_rate": 1.6605512495102282e-06, + "loss": 3.881, + "step": 6928 + }, + { + "epoch": 0.89, + "learning_rate": 1.656838505925462e-06, + "loss": 3.8506, + "step": 6929 + }, + { + "epoch": 0.89, + "learning_rate": 1.6531297753007797e-06, + "loss": 3.951, + "step": 6930 + }, + { + "epoch": 0.89, + "learning_rate": 1.6494250582737431e-06, + "loss": 3.8247, + "step": 6931 + }, + { + "epoch": 0.89, + "learning_rate": 1.6457243554812485e-06, + "loss": 3.8566, + "step": 6932 + }, + { + "epoch": 0.89, + "learning_rate": 1.6420276675594814e-06, + "loss": 4.0136, + "step": 6933 + }, + { + "epoch": 0.89, + "learning_rate": 1.6383349951439476e-06, + "loss": 3.8994, + "step": 6934 + }, + { + "epoch": 0.89, + "learning_rate": 1.634646338869461e-06, + "loss": 3.9817, + "step": 6935 + }, + { + "epoch": 0.89, + "learning_rate": 1.6309616993701426e-06, + "loss": 3.9567, + "step": 6936 + }, + { + "epoch": 0.89, + "learning_rate": 1.6272810772794217e-06, + "loss": 3.9023, + "step": 6937 + }, + { + "epoch": 0.89, + "learning_rate": 1.6236044732300421e-06, + "loss": 3.9363, + "step": 6938 + }, + { + "epoch": 0.89, + "learning_rate": 1.6199318878540592e-06, + "loss": 3.9383, + "step": 6939 + }, + { + "epoch": 0.89, + "learning_rate": 1.6162633217828322e-06, + "loss": 3.8599, + "step": 6940 + }, + { + "epoch": 0.89, + "learning_rate": 1.6125987756470257e-06, + "loss": 3.9138, + "step": 6941 + }, + { + "epoch": 0.89, + "learning_rate": 1.6089382500766192e-06, + "loss": 3.8723, + "step": 6942 + }, + { + "epoch": 0.89, + "learning_rate": 1.605281745700904e-06, + "loss": 3.8469, + "step": 6943 + }, + { + "epoch": 0.89, + "learning_rate": 1.6016292631484686e-06, + "loss": 3.9948, + "step": 6944 + }, + { + "epoch": 0.89, + "learning_rate": 1.5979808030472165e-06, + "loss": 3.7765, + "step": 6945 + }, + { + "epoch": 0.89, + "learning_rate": 1.5943363660243655e-06, + "loss": 3.9023, + "step": 6946 + }, + { + "epoch": 0.89, + "learning_rate": 1.5906959527064335e-06, + "loss": 3.8764, + "step": 6947 + }, + { + "epoch": 0.89, + "learning_rate": 1.5870595637192538e-06, + "loss": 3.9386, + "step": 6948 + }, + { + "epoch": 0.89, + "learning_rate": 1.5834271996879646e-06, + "loss": 3.8408, + "step": 6949 + }, + { + "epoch": 0.89, + "learning_rate": 1.5797988612370029e-06, + "loss": 3.7758, + "step": 6950 + }, + { + "epoch": 0.89, + "learning_rate": 1.5761745489901307e-06, + "loss": 3.8515, + "step": 6951 + }, + { + "epoch": 0.89, + "learning_rate": 1.5725542635704028e-06, + "loss": 3.8018, + "step": 6952 + }, + { + "epoch": 0.89, + "learning_rate": 1.568938005600193e-06, + "loss": 3.8943, + "step": 6953 + }, + { + "epoch": 0.89, + "learning_rate": 1.5653257757011763e-06, + "loss": 4.0168, + "step": 6954 + }, + { + "epoch": 0.89, + "learning_rate": 1.561717574494337e-06, + "loss": 3.9624, + "step": 6955 + }, + { + "epoch": 0.89, + "learning_rate": 1.5581134025999643e-06, + "loss": 3.8784, + "step": 6956 + }, + { + "epoch": 0.89, + "learning_rate": 1.5545132606376605e-06, + "loss": 3.9429, + "step": 6957 + }, + { + "epoch": 0.89, + "learning_rate": 1.5509171492263303e-06, + "loss": 3.8587, + "step": 6958 + }, + { + "epoch": 0.89, + "learning_rate": 1.5473250689841846e-06, + "loss": 3.937, + "step": 6959 + }, + { + "epoch": 0.89, + "learning_rate": 1.5437370205287516e-06, + "loss": 3.988, + "step": 6960 + }, + { + "epoch": 0.89, + "learning_rate": 1.5401530044768519e-06, + "loss": 3.8194, + "step": 6961 + }, + { + "epoch": 0.89, + "learning_rate": 1.5365730214446206e-06, + "loss": 3.7869, + "step": 6962 + }, + { + "epoch": 0.89, + "learning_rate": 1.5329970720474984e-06, + "loss": 3.9499, + "step": 6963 + }, + { + "epoch": 0.89, + "learning_rate": 1.52942515690023e-06, + "loss": 3.9345, + "step": 6964 + }, + { + "epoch": 0.89, + "learning_rate": 1.5258572766168739e-06, + "loss": 4.0671, + "step": 6965 + }, + { + "epoch": 0.89, + "learning_rate": 1.522293431810784e-06, + "loss": 3.9974, + "step": 6966 + }, + { + "epoch": 0.89, + "learning_rate": 1.5187336230946287e-06, + "loss": 3.958, + "step": 6967 + }, + { + "epoch": 0.89, + "learning_rate": 1.5151778510803876e-06, + "loss": 3.8538, + "step": 6968 + }, + { + "epoch": 0.89, + "learning_rate": 1.5116261163793333e-06, + "loss": 3.6903, + "step": 6969 + }, + { + "epoch": 0.89, + "learning_rate": 1.5080784196020492e-06, + "loss": 3.7758, + "step": 6970 + }, + { + "epoch": 0.89, + "learning_rate": 1.5045347613584253e-06, + "loss": 3.9536, + "step": 6971 + }, + { + "epoch": 0.89, + "learning_rate": 1.5009951422576607e-06, + "loss": 3.908, + "step": 6972 + }, + { + "epoch": 0.89, + "learning_rate": 1.4974595629082488e-06, + "loss": 3.902, + "step": 6973 + }, + { + "epoch": 0.89, + "learning_rate": 1.4939280239180091e-06, + "loss": 3.9166, + "step": 6974 + }, + { + "epoch": 0.89, + "learning_rate": 1.4904005258940423e-06, + "loss": 3.9532, + "step": 6975 + }, + { + "epoch": 0.89, + "learning_rate": 1.486877069442777e-06, + "loss": 3.8909, + "step": 6976 + }, + { + "epoch": 0.89, + "learning_rate": 1.4833576551699284e-06, + "loss": 3.8856, + "step": 6977 + }, + { + "epoch": 0.89, + "learning_rate": 1.4798422836805297e-06, + "loss": 3.9595, + "step": 6978 + }, + { + "epoch": 0.89, + "learning_rate": 1.4763309555789111e-06, + "loss": 3.9483, + "step": 6979 + }, + { + "epoch": 0.89, + "learning_rate": 1.4728236714687066e-06, + "loss": 3.9691, + "step": 6980 + }, + { + "epoch": 0.89, + "learning_rate": 1.4693204319528697e-06, + "loss": 3.8386, + "step": 6981 + }, + { + "epoch": 0.89, + "learning_rate": 1.4658212376336383e-06, + "loss": 3.8774, + "step": 6982 + }, + { + "epoch": 0.89, + "learning_rate": 1.46232608911257e-06, + "loss": 4.0523, + "step": 6983 + }, + { + "epoch": 0.89, + "learning_rate": 1.458834986990515e-06, + "loss": 4.0196, + "step": 6984 + }, + { + "epoch": 0.89, + "learning_rate": 1.45534793186764e-06, + "loss": 3.8718, + "step": 6985 + }, + { + "epoch": 0.89, + "learning_rate": 1.45186492434341e-06, + "loss": 3.9503, + "step": 6986 + }, + { + "epoch": 0.89, + "learning_rate": 1.4483859650165938e-06, + "loss": 3.9629, + "step": 6987 + }, + { + "epoch": 0.89, + "learning_rate": 1.4449110544852595e-06, + "loss": 3.9296, + "step": 6988 + }, + { + "epoch": 0.89, + "learning_rate": 1.4414401933467908e-06, + "loss": 3.9354, + "step": 6989 + }, + { + "epoch": 0.89, + "learning_rate": 1.4379733821978686e-06, + "loss": 3.9624, + "step": 6990 + }, + { + "epoch": 0.89, + "learning_rate": 1.4345106216344773e-06, + "loss": 3.8285, + "step": 6991 + }, + { + "epoch": 0.89, + "learning_rate": 1.4310519122519044e-06, + "loss": 4.0201, + "step": 6992 + }, + { + "epoch": 0.9, + "learning_rate": 1.4275972546447415e-06, + "loss": 4.0397, + "step": 6993 + }, + { + "epoch": 0.9, + "learning_rate": 1.4241466494068822e-06, + "loss": 3.8366, + "step": 6994 + }, + { + "epoch": 0.9, + "learning_rate": 1.4207000971315275e-06, + "loss": 3.9048, + "step": 6995 + }, + { + "epoch": 0.9, + "learning_rate": 1.417257598411187e-06, + "loss": 3.7825, + "step": 6996 + }, + { + "epoch": 0.9, + "learning_rate": 1.4138191538376589e-06, + "loss": 3.9387, + "step": 6997 + }, + { + "epoch": 0.9, + "learning_rate": 1.4103847640020512e-06, + "loss": 3.8334, + "step": 6998 + }, + { + "epoch": 0.9, + "learning_rate": 1.4069544294947778e-06, + "loss": 3.8144, + "step": 6999 + }, + { + "epoch": 0.9, + "learning_rate": 1.4035281509055532e-06, + "loss": 3.8828, + "step": 7000 + }, + { + "epoch": 0.9, + "learning_rate": 1.4001059288233891e-06, + "loss": 3.881, + "step": 7001 + }, + { + "epoch": 0.9, + "learning_rate": 1.3966877638366126e-06, + "loss": 4.0889, + "step": 7002 + }, + { + "epoch": 0.9, + "learning_rate": 1.3932736565328396e-06, + "loss": 3.8372, + "step": 7003 + }, + { + "epoch": 0.9, + "learning_rate": 1.389863607498998e-06, + "loss": 3.9789, + "step": 7004 + }, + { + "epoch": 0.9, + "learning_rate": 1.3864576173213184e-06, + "loss": 4.006, + "step": 7005 + }, + { + "epoch": 0.9, + "learning_rate": 1.3830556865853245e-06, + "loss": 3.9259, + "step": 7006 + }, + { + "epoch": 0.9, + "learning_rate": 1.3796578158758482e-06, + "loss": 3.8232, + "step": 7007 + }, + { + "epoch": 0.9, + "learning_rate": 1.3762640057770255e-06, + "loss": 3.9099, + "step": 7008 + }, + { + "epoch": 0.9, + "learning_rate": 1.3728742568722864e-06, + "loss": 3.8187, + "step": 7009 + }, + { + "epoch": 0.9, + "learning_rate": 1.369488569744376e-06, + "loss": 3.807, + "step": 7010 + }, + { + "epoch": 0.9, + "learning_rate": 1.3661069449753262e-06, + "loss": 3.8387, + "step": 7011 + }, + { + "epoch": 0.9, + "learning_rate": 1.362729383146477e-06, + "loss": 3.9643, + "step": 7012 + }, + { + "epoch": 0.9, + "learning_rate": 1.3593558848384785e-06, + "loss": 3.9678, + "step": 7013 + }, + { + "epoch": 0.9, + "learning_rate": 1.355986450631269e-06, + "loss": 3.7777, + "step": 7014 + }, + { + "epoch": 0.9, + "learning_rate": 1.352621081104094e-06, + "loss": 3.9079, + "step": 7015 + }, + { + "epoch": 0.9, + "learning_rate": 1.3492597768354959e-06, + "loss": 3.9437, + "step": 7016 + }, + { + "epoch": 0.9, + "learning_rate": 1.3459025384033264e-06, + "loss": 3.8641, + "step": 7017 + }, + { + "epoch": 0.9, + "learning_rate": 1.3425493663847348e-06, + "loss": 3.8373, + "step": 7018 + }, + { + "epoch": 0.9, + "learning_rate": 1.3392002613561662e-06, + "loss": 3.9177, + "step": 7019 + }, + { + "epoch": 0.9, + "learning_rate": 1.335855223893373e-06, + "loss": 3.8848, + "step": 7020 + }, + { + "epoch": 0.9, + "learning_rate": 1.3325142545714014e-06, + "loss": 3.8805, + "step": 7021 + }, + { + "epoch": 0.9, + "learning_rate": 1.3291773539646113e-06, + "loss": 3.7515, + "step": 7022 + }, + { + "epoch": 0.9, + "learning_rate": 1.3258445226466466e-06, + "loss": 3.7867, + "step": 7023 + }, + { + "epoch": 0.9, + "learning_rate": 1.3225157611904627e-06, + "loss": 4.0778, + "step": 7024 + }, + { + "epoch": 0.9, + "learning_rate": 1.319191070168313e-06, + "loss": 3.9377, + "step": 7025 + }, + { + "epoch": 0.9, + "learning_rate": 1.3158704501517516e-06, + "loss": 3.981, + "step": 7026 + }, + { + "epoch": 0.9, + "learning_rate": 1.31255390171163e-06, + "loss": 3.9611, + "step": 7027 + }, + { + "epoch": 0.9, + "learning_rate": 1.3092414254181007e-06, + "loss": 3.861, + "step": 7028 + }, + { + "epoch": 0.9, + "learning_rate": 1.3059330218406164e-06, + "loss": 3.9327, + "step": 7029 + }, + { + "epoch": 0.9, + "learning_rate": 1.3026286915479274e-06, + "loss": 3.9048, + "step": 7030 + }, + { + "epoch": 0.9, + "learning_rate": 1.2993284351080908e-06, + "loss": 3.8539, + "step": 7031 + }, + { + "epoch": 0.9, + "learning_rate": 1.2960322530884611e-06, + "loss": 3.8378, + "step": 7032 + }, + { + "epoch": 0.9, + "learning_rate": 1.2927401460556876e-06, + "loss": 3.8127, + "step": 7033 + }, + { + "epoch": 0.9, + "learning_rate": 1.2894521145757205e-06, + "loss": 3.9781, + "step": 7034 + }, + { + "epoch": 0.9, + "learning_rate": 1.2861681592138103e-06, + "loss": 3.7505, + "step": 7035 + }, + { + "epoch": 0.9, + "learning_rate": 1.2828882805345111e-06, + "loss": 3.9471, + "step": 7036 + }, + { + "epoch": 0.9, + "learning_rate": 1.2796124791016605e-06, + "loss": 3.7917, + "step": 7037 + }, + { + "epoch": 0.9, + "learning_rate": 1.2763407554784223e-06, + "loss": 3.8569, + "step": 7038 + }, + { + "epoch": 0.9, + "learning_rate": 1.2730731102272352e-06, + "loss": 3.9376, + "step": 7039 + }, + { + "epoch": 0.9, + "learning_rate": 1.2698095439098446e-06, + "loss": 3.9188, + "step": 7040 + }, + { + "epoch": 0.9, + "learning_rate": 1.2665500570872985e-06, + "loss": 3.8557, + "step": 7041 + }, + { + "epoch": 0.9, + "learning_rate": 1.2632946503199406e-06, + "loss": 3.905, + "step": 7042 + }, + { + "epoch": 0.9, + "learning_rate": 1.260043324167412e-06, + "loss": 4.02, + "step": 7043 + }, + { + "epoch": 0.9, + "learning_rate": 1.2567960791886519e-06, + "loss": 3.9981, + "step": 7044 + }, + { + "epoch": 0.9, + "learning_rate": 1.2535529159418968e-06, + "loss": 3.93, + "step": 7045 + }, + { + "epoch": 0.9, + "learning_rate": 1.2503138349846927e-06, + "loss": 3.9408, + "step": 7046 + }, + { + "epoch": 0.9, + "learning_rate": 1.2470788368738718e-06, + "loss": 3.7428, + "step": 7047 + }, + { + "epoch": 0.9, + "learning_rate": 1.243847922165564e-06, + "loss": 3.8944, + "step": 7048 + }, + { + "epoch": 0.9, + "learning_rate": 1.2406210914152005e-06, + "loss": 3.8416, + "step": 7049 + }, + { + "epoch": 0.9, + "learning_rate": 1.2373983451775178e-06, + "loss": 3.7388, + "step": 7050 + }, + { + "epoch": 0.9, + "learning_rate": 1.2341796840065367e-06, + "loss": 3.9478, + "step": 7051 + }, + { + "epoch": 0.9, + "learning_rate": 1.230965108455584e-06, + "loss": 4.006, + "step": 7052 + }, + { + "epoch": 0.9, + "learning_rate": 1.227754619077287e-06, + "loss": 3.9345, + "step": 7053 + }, + { + "epoch": 0.9, + "learning_rate": 1.2245482164235627e-06, + "loss": 3.9181, + "step": 7054 + }, + { + "epoch": 0.9, + "learning_rate": 1.2213459010456284e-06, + "loss": 3.7974, + "step": 7055 + }, + { + "epoch": 0.9, + "learning_rate": 1.2181476734939967e-06, + "loss": 3.9498, + "step": 7056 + }, + { + "epoch": 0.9, + "learning_rate": 1.2149535343184859e-06, + "loss": 3.8433, + "step": 7057 + }, + { + "epoch": 0.9, + "learning_rate": 1.2117634840681985e-06, + "loss": 3.9293, + "step": 7058 + }, + { + "epoch": 0.9, + "learning_rate": 1.2085775232915486e-06, + "loss": 4.02, + "step": 7059 + }, + { + "epoch": 0.9, + "learning_rate": 1.2053956525362314e-06, + "loss": 3.8964, + "step": 7060 + }, + { + "epoch": 0.9, + "learning_rate": 1.2022178723492566e-06, + "loss": 3.9415, + "step": 7061 + }, + { + "epoch": 0.9, + "learning_rate": 1.1990441832769179e-06, + "loss": 3.9592, + "step": 7062 + }, + { + "epoch": 0.9, + "learning_rate": 1.195874585864809e-06, + "loss": 3.8768, + "step": 7063 + }, + { + "epoch": 0.9, + "learning_rate": 1.1927090806578195e-06, + "loss": 3.8663, + "step": 7064 + }, + { + "epoch": 0.9, + "learning_rate": 1.189547668200136e-06, + "loss": 3.7983, + "step": 7065 + }, + { + "epoch": 0.9, + "learning_rate": 1.1863903490352379e-06, + "loss": 4.0385, + "step": 7066 + }, + { + "epoch": 0.9, + "learning_rate": 1.1832371237059158e-06, + "loss": 3.9445, + "step": 7067 + }, + { + "epoch": 0.9, + "learning_rate": 1.1800879927542335e-06, + "loss": 3.8416, + "step": 7068 + }, + { + "epoch": 0.9, + "learning_rate": 1.1769429567215773e-06, + "loss": 3.8475, + "step": 7069 + }, + { + "epoch": 0.9, + "learning_rate": 1.1738020161486035e-06, + "loss": 3.8372, + "step": 7070 + }, + { + "epoch": 0.91, + "learning_rate": 1.1706651715752803e-06, + "loss": 3.8883, + "step": 7071 + }, + { + "epoch": 0.91, + "learning_rate": 1.1675324235408708e-06, + "loss": 3.8028, + "step": 7072 + }, + { + "epoch": 0.91, + "learning_rate": 1.164403772583919e-06, + "loss": 3.937, + "step": 7073 + }, + { + "epoch": 0.91, + "learning_rate": 1.1612792192422922e-06, + "loss": 4.0065, + "step": 7074 + }, + { + "epoch": 0.91, + "learning_rate": 1.158158764053127e-06, + "loss": 3.986, + "step": 7075 + }, + { + "epoch": 0.91, + "learning_rate": 1.1550424075528698e-06, + "loss": 3.9182, + "step": 7076 + }, + { + "epoch": 0.91, + "learning_rate": 1.1519301502772555e-06, + "loss": 4.0117, + "step": 7077 + }, + { + "epoch": 0.91, + "learning_rate": 1.1488219927613203e-06, + "loss": 3.9314, + "step": 7078 + }, + { + "epoch": 0.91, + "learning_rate": 1.1457179355393921e-06, + "loss": 3.8372, + "step": 7079 + }, + { + "epoch": 0.91, + "learning_rate": 1.1426179791450914e-06, + "loss": 3.8294, + "step": 7080 + }, + { + "epoch": 0.91, + "learning_rate": 1.1395221241113364e-06, + "loss": 3.8788, + "step": 7081 + }, + { + "epoch": 0.91, + "learning_rate": 1.1364303709703483e-06, + "loss": 4.0469, + "step": 7082 + }, + { + "epoch": 0.91, + "learning_rate": 1.1333427202536273e-06, + "loss": 3.7715, + "step": 7083 + }, + { + "epoch": 0.91, + "learning_rate": 1.1302591724919793e-06, + "loss": 3.9263, + "step": 7084 + }, + { + "epoch": 0.91, + "learning_rate": 1.1271797282154995e-06, + "loss": 3.8519, + "step": 7085 + }, + { + "epoch": 0.91, + "learning_rate": 1.1241043879535811e-06, + "loss": 3.8941, + "step": 7086 + }, + { + "epoch": 0.91, + "learning_rate": 1.1210331522349126e-06, + "loss": 3.9354, + "step": 7087 + }, + { + "epoch": 0.91, + "learning_rate": 1.1179660215874716e-06, + "loss": 3.817, + "step": 7088 + }, + { + "epoch": 0.91, + "learning_rate": 1.1149029965385416e-06, + "loss": 3.7832, + "step": 7089 + }, + { + "epoch": 0.91, + "learning_rate": 1.111844077614682e-06, + "loss": 3.857, + "step": 7090 + }, + { + "epoch": 0.91, + "learning_rate": 1.1087892653417642e-06, + "loss": 3.8658, + "step": 7091 + }, + { + "epoch": 0.91, + "learning_rate": 1.1057385602449399e-06, + "loss": 3.8204, + "step": 7092 + }, + { + "epoch": 0.91, + "learning_rate": 1.1026919628486649e-06, + "loss": 3.915, + "step": 7093 + }, + { + "epoch": 0.91, + "learning_rate": 1.0996494736766783e-06, + "loss": 3.8663, + "step": 7094 + }, + { + "epoch": 0.91, + "learning_rate": 1.0966110932520284e-06, + "loss": 3.8122, + "step": 7095 + }, + { + "epoch": 0.91, + "learning_rate": 1.0935768220970395e-06, + "loss": 3.848, + "step": 7096 + }, + { + "epoch": 0.91, + "learning_rate": 1.0905466607333463e-06, + "loss": 3.949, + "step": 7097 + }, + { + "epoch": 0.91, + "learning_rate": 1.0875206096818608e-06, + "loss": 3.8045, + "step": 7098 + }, + { + "epoch": 0.91, + "learning_rate": 1.0844986694628024e-06, + "loss": 3.9244, + "step": 7099 + }, + { + "epoch": 0.91, + "learning_rate": 1.081480840595675e-06, + "loss": 3.8672, + "step": 7100 + }, + { + "epoch": 0.91, + "learning_rate": 1.0784671235992777e-06, + "loss": 3.9483, + "step": 7101 + }, + { + "epoch": 0.91, + "learning_rate": 1.0754575189917015e-06, + "loss": 3.9342, + "step": 7102 + }, + { + "epoch": 0.91, + "learning_rate": 1.0724520272903382e-06, + "loss": 3.9987, + "step": 7103 + }, + { + "epoch": 0.91, + "learning_rate": 1.0694506490118632e-06, + "loss": 3.8735, + "step": 7104 + }, + { + "epoch": 0.91, + "learning_rate": 1.0664533846722447e-06, + "loss": 3.7964, + "step": 7105 + }, + { + "epoch": 0.91, + "learning_rate": 1.0634602347867534e-06, + "loss": 3.8231, + "step": 7106 + }, + { + "epoch": 0.91, + "learning_rate": 1.0604711998699446e-06, + "loss": 3.8285, + "step": 7107 + }, + { + "epoch": 0.91, + "learning_rate": 1.0574862804356683e-06, + "loss": 3.9455, + "step": 7108 + }, + { + "epoch": 0.91, + "learning_rate": 1.0545054769970613e-06, + "loss": 4.0767, + "step": 7109 + }, + { + "epoch": 0.91, + "learning_rate": 1.0515287900665667e-06, + "loss": 3.8958, + "step": 7110 + }, + { + "epoch": 0.91, + "learning_rate": 1.0485562201559079e-06, + "loss": 3.9104, + "step": 7111 + }, + { + "epoch": 0.91, + "learning_rate": 1.0455877677761045e-06, + "loss": 3.8434, + "step": 7112 + }, + { + "epoch": 0.91, + "learning_rate": 1.0426234334374645e-06, + "loss": 3.9043, + "step": 7113 + }, + { + "epoch": 0.91, + "learning_rate": 1.0396632176495947e-06, + "loss": 3.8497, + "step": 7114 + }, + { + "epoch": 0.91, + "learning_rate": 1.0367071209213903e-06, + "loss": 3.9975, + "step": 7115 + }, + { + "epoch": 0.91, + "learning_rate": 1.0337551437610366e-06, + "loss": 3.9728, + "step": 7116 + }, + { + "epoch": 0.91, + "learning_rate": 1.0308072866760137e-06, + "loss": 3.9647, + "step": 7117 + }, + { + "epoch": 0.91, + "learning_rate": 1.0278635501730972e-06, + "loss": 3.9525, + "step": 7118 + }, + { + "epoch": 0.91, + "learning_rate": 1.0249239347583428e-06, + "loss": 3.8987, + "step": 7119 + }, + { + "epoch": 0.91, + "learning_rate": 1.0219884409371078e-06, + "loss": 3.8867, + "step": 7120 + }, + { + "epoch": 0.91, + "learning_rate": 1.0190570692140356e-06, + "loss": 3.964, + "step": 7121 + }, + { + "epoch": 0.91, + "learning_rate": 1.0161298200930646e-06, + "loss": 3.9412, + "step": 7122 + }, + { + "epoch": 0.91, + "learning_rate": 1.0132066940774203e-06, + "loss": 3.8217, + "step": 7123 + }, + { + "epoch": 0.91, + "learning_rate": 1.010287691669623e-06, + "loss": 3.8811, + "step": 7124 + }, + { + "epoch": 0.91, + "learning_rate": 1.0073728133714877e-06, + "loss": 3.9262, + "step": 7125 + }, + { + "epoch": 0.91, + "learning_rate": 1.0044620596841138e-06, + "loss": 3.8087, + "step": 7126 + }, + { + "epoch": 0.91, + "learning_rate": 1.0015554311078894e-06, + "loss": 4.001, + "step": 7127 + }, + { + "epoch": 0.91, + "learning_rate": 9.986529281425016e-07, + "loss": 3.9666, + "step": 7128 + }, + { + "epoch": 0.91, + "learning_rate": 9.957545512869231e-07, + "loss": 3.8803, + "step": 7129 + }, + { + "epoch": 0.91, + "learning_rate": 9.928603010394139e-07, + "loss": 3.9343, + "step": 7130 + }, + { + "epoch": 0.91, + "learning_rate": 9.899701778975396e-07, + "loss": 3.7865, + "step": 7131 + }, + { + "epoch": 0.91, + "learning_rate": 9.870841823581362e-07, + "loss": 3.8169, + "step": 7132 + }, + { + "epoch": 0.91, + "learning_rate": 9.84202314917343e-07, + "loss": 3.9661, + "step": 7133 + }, + { + "epoch": 0.91, + "learning_rate": 9.813245760705886e-07, + "loss": 3.9516, + "step": 7134 + }, + { + "epoch": 0.91, + "learning_rate": 9.784509663125884e-07, + "loss": 4.0017, + "step": 7135 + }, + { + "epoch": 0.91, + "learning_rate": 9.755814861373502e-07, + "loss": 3.7825, + "step": 7136 + }, + { + "epoch": 0.91, + "learning_rate": 9.72716136038168e-07, + "loss": 3.976, + "step": 7137 + }, + { + "epoch": 0.91, + "learning_rate": 9.69854916507626e-07, + "loss": 3.9212, + "step": 7138 + }, + { + "epoch": 0.91, + "learning_rate": 9.669978280376108e-07, + "loss": 3.8287, + "step": 7139 + }, + { + "epoch": 0.91, + "learning_rate": 9.641448711192796e-07, + "loss": 3.8015, + "step": 7140 + }, + { + "epoch": 0.91, + "learning_rate": 9.61296046243096e-07, + "loss": 3.782, + "step": 7141 + }, + { + "epoch": 0.91, + "learning_rate": 9.584513538987984e-07, + "loss": 3.9095, + "step": 7142 + }, + { + "epoch": 0.91, + "learning_rate": 9.556107945754316e-07, + "loss": 3.8907, + "step": 7143 + }, + { + "epoch": 0.91, + "learning_rate": 9.527743687613138e-07, + "loss": 3.9667, + "step": 7144 + }, + { + "epoch": 0.91, + "learning_rate": 9.499420769440576e-07, + "loss": 3.8261, + "step": 7145 + }, + { + "epoch": 0.91, + "learning_rate": 9.471139196105733e-07, + "loss": 4.0266, + "step": 7146 + }, + { + "epoch": 0.91, + "learning_rate": 9.442898972470526e-07, + "loss": 3.8105, + "step": 7147 + }, + { + "epoch": 0.91, + "learning_rate": 9.414700103389767e-07, + "loss": 3.8972, + "step": 7148 + }, + { + "epoch": 0.92, + "learning_rate": 9.386542593711162e-07, + "loss": 3.9215, + "step": 7149 + }, + { + "epoch": 0.92, + "learning_rate": 9.35842644827531e-07, + "loss": 3.7623, + "step": 7150 + }, + { + "epoch": 0.92, + "learning_rate": 9.330351671915677e-07, + "loss": 3.9639, + "step": 7151 + }, + { + "epoch": 0.92, + "learning_rate": 9.302318269458682e-07, + "loss": 3.8076, + "step": 7152 + }, + { + "epoch": 0.92, + "learning_rate": 9.274326245723608e-07, + "loss": 3.8446, + "step": 7153 + }, + { + "epoch": 0.92, + "learning_rate": 9.246375605522578e-07, + "loss": 4.0279, + "step": 7154 + }, + { + "epoch": 0.92, + "learning_rate": 9.218466353660638e-07, + "loss": 3.8858, + "step": 7155 + }, + { + "epoch": 0.92, + "learning_rate": 9.190598494935726e-07, + "loss": 3.7554, + "step": 7156 + }, + { + "epoch": 0.92, + "learning_rate": 9.162772034138622e-07, + "loss": 3.9297, + "step": 7157 + }, + { + "epoch": 0.92, + "learning_rate": 9.134986976053028e-07, + "loss": 3.8246, + "step": 7158 + }, + { + "epoch": 0.92, + "learning_rate": 9.107243325455511e-07, + "loss": 3.8747, + "step": 7159 + }, + { + "epoch": 0.92, + "learning_rate": 9.079541087115507e-07, + "loss": 3.9523, + "step": 7160 + }, + { + "epoch": 0.92, + "learning_rate": 9.051880265795426e-07, + "loss": 3.8949, + "step": 7161 + }, + { + "epoch": 0.92, + "learning_rate": 9.024260866250439e-07, + "loss": 3.9663, + "step": 7162 + }, + { + "epoch": 0.92, + "learning_rate": 8.996682893228609e-07, + "loss": 3.78, + "step": 7163 + }, + { + "epoch": 0.92, + "learning_rate": 8.969146351470975e-07, + "loss": 3.9307, + "step": 7164 + }, + { + "epoch": 0.92, + "learning_rate": 8.941651245711335e-07, + "loss": 3.8137, + "step": 7165 + }, + { + "epoch": 0.92, + "learning_rate": 8.914197580676409e-07, + "loss": 3.8707, + "step": 7166 + }, + { + "epoch": 0.92, + "learning_rate": 8.886785361085865e-07, + "loss": 3.8471, + "step": 7167 + }, + { + "epoch": 0.92, + "learning_rate": 8.859414591652126e-07, + "loss": 3.7841, + "step": 7168 + }, + { + "epoch": 0.92, + "learning_rate": 8.832085277080571e-07, + "loss": 3.961, + "step": 7169 + }, + { + "epoch": 0.92, + "learning_rate": 8.804797422069383e-07, + "loss": 3.9535, + "step": 7170 + }, + { + "epoch": 0.92, + "learning_rate": 8.777551031309728e-07, + "loss": 3.7297, + "step": 7171 + }, + { + "epoch": 0.92, + "learning_rate": 8.750346109485525e-07, + "loss": 3.7958, + "step": 7172 + }, + { + "epoch": 0.92, + "learning_rate": 8.723182661273615e-07, + "loss": 3.9753, + "step": 7173 + }, + { + "epoch": 0.92, + "learning_rate": 8.696060691343766e-07, + "loss": 3.8972, + "step": 7174 + }, + { + "epoch": 0.92, + "learning_rate": 8.668980204358495e-07, + "loss": 4.1029, + "step": 7175 + }, + { + "epoch": 0.92, + "learning_rate": 8.641941204973275e-07, + "loss": 3.8595, + "step": 7176 + }, + { + "epoch": 0.92, + "learning_rate": 8.614943697836442e-07, + "loss": 3.8939, + "step": 7177 + }, + { + "epoch": 0.92, + "learning_rate": 8.587987687589172e-07, + "loss": 3.9838, + "step": 7178 + }, + { + "epoch": 0.92, + "learning_rate": 8.561073178865453e-07, + "loss": 3.9527, + "step": 7179 + }, + { + "epoch": 0.92, + "learning_rate": 8.534200176292306e-07, + "loss": 3.9852, + "step": 7180 + }, + { + "epoch": 0.92, + "learning_rate": 8.507368684489397e-07, + "loss": 3.8757, + "step": 7181 + }, + { + "epoch": 0.92, + "learning_rate": 8.480578708069509e-07, + "loss": 3.9719, + "step": 7182 + }, + { + "epoch": 0.92, + "learning_rate": 8.453830251638039e-07, + "loss": 4.0356, + "step": 7183 + }, + { + "epoch": 0.92, + "learning_rate": 8.427123319793395e-07, + "loss": 4.0213, + "step": 7184 + }, + { + "epoch": 0.92, + "learning_rate": 8.40045791712682e-07, + "loss": 3.8476, + "step": 7185 + }, + { + "epoch": 0.92, + "learning_rate": 8.373834048222395e-07, + "loss": 3.9199, + "step": 7186 + }, + { + "epoch": 0.92, + "learning_rate": 8.347251717657018e-07, + "loss": 4.0114, + "step": 7187 + }, + { + "epoch": 0.92, + "learning_rate": 8.320710930000586e-07, + "loss": 3.8714, + "step": 7188 + }, + { + "epoch": 0.92, + "learning_rate": 8.294211689815729e-07, + "loss": 3.928, + "step": 7189 + }, + { + "epoch": 0.92, + "learning_rate": 8.267754001657968e-07, + "loss": 3.8006, + "step": 7190 + }, + { + "epoch": 0.92, + "learning_rate": 8.241337870075722e-07, + "loss": 3.9859, + "step": 7191 + }, + { + "epoch": 0.92, + "learning_rate": 8.21496329961019e-07, + "loss": 3.9887, + "step": 7192 + }, + { + "epoch": 0.92, + "learning_rate": 8.188630294795469e-07, + "loss": 3.8583, + "step": 7193 + }, + { + "epoch": 0.92, + "learning_rate": 8.162338860158519e-07, + "loss": 3.8305, + "step": 7194 + }, + { + "epoch": 0.92, + "learning_rate": 8.136089000219144e-07, + "loss": 3.9239, + "step": 7195 + }, + { + "epoch": 0.92, + "learning_rate": 8.10988071949001e-07, + "loss": 3.9165, + "step": 7196 + }, + { + "epoch": 0.92, + "learning_rate": 8.083714022476569e-07, + "loss": 3.8727, + "step": 7197 + }, + { + "epoch": 0.92, + "learning_rate": 8.057588913677277e-07, + "loss": 3.7768, + "step": 7198 + }, + { + "epoch": 0.92, + "learning_rate": 8.031505397583266e-07, + "loss": 3.8965, + "step": 7199 + }, + { + "epoch": 0.92, + "learning_rate": 8.005463478678616e-07, + "loss": 3.8315, + "step": 7200 + }, + { + "epoch": 0.92, + "learning_rate": 7.979463161440243e-07, + "loss": 3.7676, + "step": 7201 + }, + { + "epoch": 0.92, + "learning_rate": 7.953504450337879e-07, + "loss": 3.9079, + "step": 7202 + }, + { + "epoch": 0.92, + "learning_rate": 7.927587349834148e-07, + "loss": 3.9457, + "step": 7203 + }, + { + "epoch": 0.92, + "learning_rate": 7.901711864384514e-07, + "loss": 3.799, + "step": 7204 + }, + { + "epoch": 0.92, + "learning_rate": 7.875877998437225e-07, + "loss": 3.9081, + "step": 7205 + }, + { + "epoch": 0.92, + "learning_rate": 7.850085756433479e-07, + "loss": 3.8892, + "step": 7206 + }, + { + "epoch": 0.92, + "learning_rate": 7.824335142807199e-07, + "loss": 3.8992, + "step": 7207 + }, + { + "epoch": 0.92, + "learning_rate": 7.798626161985289e-07, + "loss": 3.9535, + "step": 7208 + }, + { + "epoch": 0.92, + "learning_rate": 7.772958818387327e-07, + "loss": 3.9611, + "step": 7209 + }, + { + "epoch": 0.92, + "learning_rate": 7.747333116425948e-07, + "loss": 3.9359, + "step": 7210 + }, + { + "epoch": 0.92, + "learning_rate": 7.721749060506406e-07, + "loss": 3.8043, + "step": 7211 + }, + { + "epoch": 0.92, + "learning_rate": 7.696206655026933e-07, + "loss": 3.9883, + "step": 7212 + }, + { + "epoch": 0.92, + "learning_rate": 7.670705904378572e-07, + "loss": 3.8336, + "step": 7213 + }, + { + "epoch": 0.92, + "learning_rate": 7.645246812945206e-07, + "loss": 3.9173, + "step": 7214 + }, + { + "epoch": 0.92, + "learning_rate": 7.619829385103472e-07, + "loss": 3.8423, + "step": 7215 + }, + { + "epoch": 0.92, + "learning_rate": 7.594453625223014e-07, + "loss": 3.7612, + "step": 7216 + }, + { + "epoch": 0.92, + "learning_rate": 7.569119537666175e-07, + "loss": 3.8456, + "step": 7217 + }, + { + "epoch": 0.92, + "learning_rate": 7.543827126788194e-07, + "loss": 3.8553, + "step": 7218 + }, + { + "epoch": 0.92, + "learning_rate": 7.518576396937122e-07, + "loss": 3.7555, + "step": 7219 + }, + { + "epoch": 0.92, + "learning_rate": 7.493367352453873e-07, + "loss": 3.8914, + "step": 7220 + }, + { + "epoch": 0.92, + "learning_rate": 7.468199997672148e-07, + "loss": 3.8599, + "step": 7221 + }, + { + "epoch": 0.92, + "learning_rate": 7.443074336918488e-07, + "loss": 3.9899, + "step": 7222 + }, + { + "epoch": 0.92, + "learning_rate": 7.417990374512296e-07, + "loss": 3.9377, + "step": 7223 + }, + { + "epoch": 0.92, + "learning_rate": 7.392948114765847e-07, + "loss": 3.8678, + "step": 7224 + }, + { + "epoch": 0.92, + "learning_rate": 7.36794756198414e-07, + "loss": 3.9349, + "step": 7225 + }, + { + "epoch": 0.92, + "learning_rate": 7.3429887204651e-07, + "loss": 3.8585, + "step": 7226 + }, + { + "epoch": 0.93, + "learning_rate": 7.318071594499404e-07, + "loss": 3.9784, + "step": 7227 + }, + { + "epoch": 0.93, + "learning_rate": 7.293196188370627e-07, + "loss": 3.8847, + "step": 7228 + }, + { + "epoch": 0.93, + "learning_rate": 7.268362506355125e-07, + "loss": 3.9851, + "step": 7229 + }, + { + "epoch": 0.93, + "learning_rate": 7.243570552722068e-07, + "loss": 3.8187, + "step": 7230 + }, + { + "epoch": 0.93, + "learning_rate": 7.218820331733517e-07, + "loss": 3.8707, + "step": 7231 + }, + { + "epoch": 0.93, + "learning_rate": 7.194111847644347e-07, + "loss": 3.8412, + "step": 7232 + }, + { + "epoch": 0.93, + "learning_rate": 7.16944510470216e-07, + "loss": 3.8375, + "step": 7233 + }, + { + "epoch": 0.93, + "learning_rate": 7.144820107147482e-07, + "loss": 3.9587, + "step": 7234 + }, + { + "epoch": 0.93, + "learning_rate": 7.120236859213675e-07, + "loss": 3.9208, + "step": 7235 + }, + { + "epoch": 0.93, + "learning_rate": 7.095695365126858e-07, + "loss": 3.8292, + "step": 7236 + }, + { + "epoch": 0.93, + "learning_rate": 7.071195629105993e-07, + "loss": 3.8742, + "step": 7237 + }, + { + "epoch": 0.93, + "learning_rate": 7.046737655362845e-07, + "loss": 4.0122, + "step": 7238 + }, + { + "epoch": 0.93, + "learning_rate": 7.022321448102054e-07, + "loss": 3.8898, + "step": 7239 + }, + { + "epoch": 0.93, + "learning_rate": 6.997947011521067e-07, + "loss": 3.9183, + "step": 7240 + }, + { + "epoch": 0.93, + "learning_rate": 6.973614349810115e-07, + "loss": 3.7678, + "step": 7241 + }, + { + "epoch": 0.93, + "learning_rate": 6.949323467152269e-07, + "loss": 3.8086, + "step": 7242 + }, + { + "epoch": 0.93, + "learning_rate": 6.925074367723383e-07, + "loss": 3.8701, + "step": 7243 + }, + { + "epoch": 0.93, + "learning_rate": 6.900867055692151e-07, + "loss": 3.916, + "step": 7244 + }, + { + "epoch": 0.93, + "learning_rate": 6.876701535220131e-07, + "loss": 3.7453, + "step": 7245 + }, + { + "epoch": 0.93, + "learning_rate": 6.852577810461669e-07, + "loss": 3.9998, + "step": 7246 + }, + { + "epoch": 0.93, + "learning_rate": 6.82849588556389e-07, + "loss": 3.8347, + "step": 7247 + }, + { + "epoch": 0.93, + "learning_rate": 6.804455764666734e-07, + "loss": 4.0412, + "step": 7248 + }, + { + "epoch": 0.93, + "learning_rate": 6.780457451903032e-07, + "loss": 3.7639, + "step": 7249 + }, + { + "epoch": 0.93, + "learning_rate": 6.75650095139832e-07, + "loss": 3.9686, + "step": 7250 + }, + { + "epoch": 0.93, + "learning_rate": 6.732586267270968e-07, + "loss": 3.998, + "step": 7251 + }, + { + "epoch": 0.93, + "learning_rate": 6.7087134036323e-07, + "loss": 3.9428, + "step": 7252 + }, + { + "epoch": 0.93, + "learning_rate": 6.684882364586225e-07, + "loss": 3.9508, + "step": 7253 + }, + { + "epoch": 0.93, + "learning_rate": 6.661093154229637e-07, + "loss": 3.8494, + "step": 7254 + }, + { + "epoch": 0.93, + "learning_rate": 6.637345776652176e-07, + "loss": 3.9747, + "step": 7255 + }, + { + "epoch": 0.93, + "learning_rate": 6.613640235936274e-07, + "loss": 4.0649, + "step": 7256 + }, + { + "epoch": 0.93, + "learning_rate": 6.589976536157199e-07, + "loss": 3.8327, + "step": 7257 + }, + { + "epoch": 0.93, + "learning_rate": 6.566354681383003e-07, + "loss": 3.9527, + "step": 7258 + }, + { + "epoch": 0.93, + "learning_rate": 6.542774675674546e-07, + "loss": 3.7638, + "step": 7259 + }, + { + "epoch": 0.93, + "learning_rate": 6.519236523085531e-07, + "loss": 3.958, + "step": 7260 + }, + { + "epoch": 0.93, + "learning_rate": 6.495740227662444e-07, + "loss": 3.9502, + "step": 7261 + }, + { + "epoch": 0.93, + "learning_rate": 6.472285793444499e-07, + "loss": 3.8332, + "step": 7262 + }, + { + "epoch": 0.93, + "learning_rate": 6.448873224463914e-07, + "loss": 3.8939, + "step": 7263 + }, + { + "epoch": 0.93, + "learning_rate": 6.425502524745469e-07, + "loss": 3.8129, + "step": 7264 + }, + { + "epoch": 0.93, + "learning_rate": 6.402173698306923e-07, + "loss": 4.012, + "step": 7265 + }, + { + "epoch": 0.93, + "learning_rate": 6.378886749158707e-07, + "loss": 3.8228, + "step": 7266 + }, + { + "epoch": 0.93, + "learning_rate": 6.355641681304175e-07, + "loss": 4.0094, + "step": 7267 + }, + { + "epoch": 0.93, + "learning_rate": 6.332438498739435e-07, + "loss": 3.9384, + "step": 7268 + }, + { + "epoch": 0.93, + "learning_rate": 6.309277205453323e-07, + "loss": 3.867, + "step": 7269 + }, + { + "epoch": 0.93, + "learning_rate": 6.2861578054276e-07, + "loss": 3.9248, + "step": 7270 + }, + { + "epoch": 0.93, + "learning_rate": 6.26308030263667e-07, + "loss": 3.8699, + "step": 7271 + }, + { + "epoch": 0.93, + "learning_rate": 6.240044701047914e-07, + "loss": 3.9587, + "step": 7272 + }, + { + "epoch": 0.93, + "learning_rate": 6.217051004621361e-07, + "loss": 3.9939, + "step": 7273 + }, + { + "epoch": 0.93, + "learning_rate": 6.194099217309901e-07, + "loss": 3.8468, + "step": 7274 + }, + { + "epoch": 0.93, + "learning_rate": 6.17118934305927e-07, + "loss": 3.9703, + "step": 7275 + }, + { + "epoch": 0.93, + "learning_rate": 6.14832138580787e-07, + "loss": 4.0079, + "step": 7276 + }, + { + "epoch": 0.93, + "learning_rate": 6.125495349487004e-07, + "loss": 3.8875, + "step": 7277 + }, + { + "epoch": 0.93, + "learning_rate": 6.102711238020725e-07, + "loss": 3.7578, + "step": 7278 + }, + { + "epoch": 0.93, + "learning_rate": 6.079969055325901e-07, + "loss": 3.8723, + "step": 7279 + }, + { + "epoch": 0.93, + "learning_rate": 6.057268805312128e-07, + "loss": 3.7668, + "step": 7280 + }, + { + "epoch": 0.93, + "learning_rate": 6.034610491881864e-07, + "loss": 3.929, + "step": 7281 + }, + { + "epoch": 0.93, + "learning_rate": 6.011994118930359e-07, + "loss": 3.8725, + "step": 7282 + }, + { + "epoch": 0.93, + "learning_rate": 5.989419690345638e-07, + "loss": 3.8916, + "step": 7283 + }, + { + "epoch": 0.93, + "learning_rate": 5.966887210008487e-07, + "loss": 3.8525, + "step": 7284 + }, + { + "epoch": 0.93, + "learning_rate": 5.944396681792475e-07, + "loss": 3.9167, + "step": 7285 + }, + { + "epoch": 0.93, + "learning_rate": 5.921948109564035e-07, + "loss": 3.9547, + "step": 7286 + }, + { + "epoch": 0.93, + "learning_rate": 5.899541497182276e-07, + "loss": 3.8231, + "step": 7287 + }, + { + "epoch": 0.93, + "learning_rate": 5.877176848499199e-07, + "loss": 3.9106, + "step": 7288 + }, + { + "epoch": 0.93, + "learning_rate": 5.854854167359564e-07, + "loss": 3.9423, + "step": 7289 + }, + { + "epoch": 0.93, + "learning_rate": 5.832573457600826e-07, + "loss": 3.8643, + "step": 7290 + }, + { + "epoch": 0.93, + "learning_rate": 5.810334723053367e-07, + "loss": 3.9538, + "step": 7291 + }, + { + "epoch": 0.93, + "learning_rate": 5.78813796754027e-07, + "loss": 3.8052, + "step": 7292 + }, + { + "epoch": 0.93, + "learning_rate": 5.765983194877394e-07, + "loss": 3.8753, + "step": 7293 + }, + { + "epoch": 0.93, + "learning_rate": 5.743870408873419e-07, + "loss": 3.8515, + "step": 7294 + }, + { + "epoch": 0.93, + "learning_rate": 5.721799613329748e-07, + "loss": 3.7696, + "step": 7295 + }, + { + "epoch": 0.93, + "learning_rate": 5.699770812040678e-07, + "loss": 3.9292, + "step": 7296 + }, + { + "epoch": 0.93, + "learning_rate": 5.677784008793153e-07, + "loss": 3.9468, + "step": 7297 + }, + { + "epoch": 0.93, + "learning_rate": 5.655839207367008e-07, + "loss": 3.866, + "step": 7298 + }, + { + "epoch": 0.93, + "learning_rate": 5.633936411534729e-07, + "loss": 3.8073, + "step": 7299 + }, + { + "epoch": 0.93, + "learning_rate": 5.612075625061775e-07, + "loss": 3.7732, + "step": 7300 + }, + { + "epoch": 0.93, + "learning_rate": 5.590256851706194e-07, + "loss": 3.9482, + "step": 7301 + }, + { + "epoch": 0.93, + "learning_rate": 5.568480095218876e-07, + "loss": 3.8873, + "step": 7302 + }, + { + "epoch": 0.93, + "learning_rate": 5.546745359343546e-07, + "loss": 3.8466, + "step": 7303 + }, + { + "epoch": 0.93, + "learning_rate": 5.525052647816636e-07, + "loss": 4.0889, + "step": 7304 + }, + { + "epoch": 0.94, + "learning_rate": 5.503401964367355e-07, + "loss": 4.0327, + "step": 7305 + }, + { + "epoch": 0.94, + "learning_rate": 5.481793312717754e-07, + "loss": 3.9105, + "step": 7306 + }, + { + "epoch": 0.94, + "learning_rate": 5.460226696582555e-07, + "loss": 3.9098, + "step": 7307 + }, + { + "epoch": 0.94, + "learning_rate": 5.43870211966932e-07, + "loss": 3.8403, + "step": 7308 + }, + { + "epoch": 0.94, + "learning_rate": 5.417219585678424e-07, + "loss": 3.9855, + "step": 7309 + }, + { + "epoch": 0.94, + "learning_rate": 5.395779098302911e-07, + "loss": 4.0299, + "step": 7310 + }, + { + "epoch": 0.94, + "learning_rate": 5.374380661228667e-07, + "loss": 3.8305, + "step": 7311 + }, + { + "epoch": 0.94, + "learning_rate": 5.353024278134333e-07, + "loss": 3.9378, + "step": 7312 + }, + { + "epoch": 0.94, + "learning_rate": 5.331709952691332e-07, + "loss": 3.7858, + "step": 7313 + }, + { + "epoch": 0.94, + "learning_rate": 5.310437688563819e-07, + "loss": 4.0714, + "step": 7314 + }, + { + "epoch": 0.94, + "learning_rate": 5.289207489408754e-07, + "loss": 3.8442, + "step": 7315 + }, + { + "epoch": 0.94, + "learning_rate": 5.268019358875803e-07, + "loss": 3.9826, + "step": 7316 + }, + { + "epoch": 0.94, + "learning_rate": 5.246873300607553e-07, + "loss": 3.9004, + "step": 7317 + }, + { + "epoch": 0.94, + "learning_rate": 5.225769318239177e-07, + "loss": 3.8403, + "step": 7318 + }, + { + "epoch": 0.94, + "learning_rate": 5.204707415398746e-07, + "loss": 3.8914, + "step": 7319 + }, + { + "epoch": 0.94, + "learning_rate": 5.183687595707032e-07, + "loss": 3.8765, + "step": 7320 + }, + { + "epoch": 0.94, + "learning_rate": 5.162709862777559e-07, + "loss": 3.8569, + "step": 7321 + }, + { + "epoch": 0.94, + "learning_rate": 5.141774220216666e-07, + "loss": 4.015, + "step": 7322 + }, + { + "epoch": 0.94, + "learning_rate": 5.12088067162339e-07, + "loss": 3.8554, + "step": 7323 + }, + { + "epoch": 0.94, + "learning_rate": 5.100029220589637e-07, + "loss": 4.0474, + "step": 7324 + }, + { + "epoch": 0.94, + "learning_rate": 5.07921987069998e-07, + "loss": 3.9468, + "step": 7325 + }, + { + "epoch": 0.94, + "learning_rate": 5.058452625531812e-07, + "loss": 3.9349, + "step": 7326 + }, + { + "epoch": 0.94, + "learning_rate": 5.037727488655192e-07, + "loss": 4.0214, + "step": 7327 + }, + { + "epoch": 0.94, + "learning_rate": 5.017044463633103e-07, + "loss": 3.9505, + "step": 7328 + }, + { + "epoch": 0.94, + "learning_rate": 4.996403554021145e-07, + "loss": 3.89, + "step": 7329 + }, + { + "epoch": 0.94, + "learning_rate": 4.975804763367759e-07, + "loss": 3.9582, + "step": 7330 + }, + { + "epoch": 0.94, + "learning_rate": 4.955248095214082e-07, + "loss": 3.872, + "step": 7331 + }, + { + "epoch": 0.94, + "learning_rate": 4.934733553094068e-07, + "loss": 3.9649, + "step": 7332 + }, + { + "epoch": 0.94, + "learning_rate": 4.914261140534393e-07, + "loss": 3.9795, + "step": 7333 + }, + { + "epoch": 0.94, + "learning_rate": 4.893830861054493e-07, + "loss": 4.0352, + "step": 7334 + }, + { + "epoch": 0.94, + "learning_rate": 4.873442718166616e-07, + "loss": 3.8025, + "step": 7335 + }, + { + "epoch": 0.94, + "learning_rate": 4.853096715375649e-07, + "loss": 3.9189, + "step": 7336 + }, + { + "epoch": 0.94, + "learning_rate": 4.832792856179352e-07, + "loss": 4.0754, + "step": 7337 + }, + { + "epoch": 0.94, + "learning_rate": 4.812531144068183e-07, + "loss": 3.886, + "step": 7338 + }, + { + "epoch": 0.94, + "learning_rate": 4.792311582525383e-07, + "loss": 3.8867, + "step": 7339 + }, + { + "epoch": 0.94, + "learning_rate": 4.772134175026921e-07, + "loss": 3.9256, + "step": 7340 + }, + { + "epoch": 0.94, + "learning_rate": 4.751998925041495e-07, + "loss": 3.8195, + "step": 7341 + }, + { + "epoch": 0.94, + "learning_rate": 4.7319058360306423e-07, + "loss": 3.8706, + "step": 7342 + }, + { + "epoch": 0.94, + "learning_rate": 4.711854911448543e-07, + "loss": 3.9434, + "step": 7343 + }, + { + "epoch": 0.94, + "learning_rate": 4.691846154742191e-07, + "loss": 3.9907, + "step": 7344 + }, + { + "epoch": 0.94, + "learning_rate": 4.6718795693513617e-07, + "loss": 3.7988, + "step": 7345 + }, + { + "epoch": 0.94, + "learning_rate": 4.651955158708532e-07, + "loss": 3.8482, + "step": 7346 + }, + { + "epoch": 0.94, + "learning_rate": 4.632072926238934e-07, + "loss": 3.916, + "step": 7347 + }, + { + "epoch": 0.94, + "learning_rate": 4.612232875360528e-07, + "loss": 3.8023, + "step": 7348 + }, + { + "epoch": 0.94, + "learning_rate": 4.592435009484086e-07, + "loss": 4.0656, + "step": 7349 + }, + { + "epoch": 0.94, + "learning_rate": 4.57267933201308e-07, + "loss": 4.0697, + "step": 7350 + }, + { + "epoch": 0.94, + "learning_rate": 4.55296584634371e-07, + "loss": 3.9895, + "step": 7351 + }, + { + "epoch": 0.94, + "learning_rate": 4.5332945558649867e-07, + "loss": 4.0113, + "step": 7352 + }, + { + "epoch": 0.94, + "learning_rate": 4.513665463958622e-07, + "loss": 3.921, + "step": 7353 + }, + { + "epoch": 0.94, + "learning_rate": 4.494078573999111e-07, + "loss": 3.9389, + "step": 7354 + }, + { + "epoch": 0.94, + "learning_rate": 4.474533889353594e-07, + "loss": 3.8323, + "step": 7355 + }, + { + "epoch": 0.94, + "learning_rate": 4.455031413382105e-07, + "loss": 3.913, + "step": 7356 + }, + { + "epoch": 0.94, + "learning_rate": 4.435571149437323e-07, + "loss": 3.9462, + "step": 7357 + }, + { + "epoch": 0.94, + "learning_rate": 4.416153100864684e-07, + "loss": 3.9225, + "step": 7358 + }, + { + "epoch": 0.94, + "learning_rate": 4.396777271002378e-07, + "loss": 3.8649, + "step": 7359 + }, + { + "epoch": 0.94, + "learning_rate": 4.377443663181324e-07, + "loss": 4.0757, + "step": 7360 + }, + { + "epoch": 0.94, + "learning_rate": 4.3581522807252253e-07, + "loss": 3.9291, + "step": 7361 + }, + { + "epoch": 0.94, + "learning_rate": 4.3389031269504834e-07, + "loss": 3.8336, + "step": 7362 + }, + { + "epoch": 0.94, + "learning_rate": 4.3196962051662013e-07, + "loss": 3.8041, + "step": 7363 + }, + { + "epoch": 0.94, + "learning_rate": 4.300531518674322e-07, + "loss": 3.8824, + "step": 7364 + }, + { + "epoch": 0.94, + "learning_rate": 4.2814090707694874e-07, + "loss": 3.9387, + "step": 7365 + }, + { + "epoch": 0.94, + "learning_rate": 4.2623288647390404e-07, + "loss": 3.9344, + "step": 7366 + }, + { + "epoch": 0.94, + "learning_rate": 4.243290903863079e-07, + "loss": 3.8433, + "step": 7367 + }, + { + "epoch": 0.94, + "learning_rate": 4.2242951914145123e-07, + "loss": 3.9096, + "step": 7368 + }, + { + "epoch": 0.94, + "learning_rate": 4.2053417306588404e-07, + "loss": 3.9173, + "step": 7369 + }, + { + "epoch": 0.94, + "learning_rate": 4.186430524854429e-07, + "loss": 3.9334, + "step": 7370 + }, + { + "epoch": 0.94, + "learning_rate": 4.1675615772523434e-07, + "loss": 3.9252, + "step": 7371 + }, + { + "epoch": 0.94, + "learning_rate": 4.148734891096351e-07, + "loss": 3.9455, + "step": 7372 + }, + { + "epoch": 0.94, + "learning_rate": 4.129950469622945e-07, + "loss": 4.0527, + "step": 7373 + }, + { + "epoch": 0.94, + "learning_rate": 4.111208316061432e-07, + "loss": 3.9286, + "step": 7374 + }, + { + "epoch": 0.94, + "learning_rate": 4.092508433633846e-07, + "loss": 3.79, + "step": 7375 + }, + { + "epoch": 0.94, + "learning_rate": 4.073850825554837e-07, + "loss": 3.9506, + "step": 7376 + }, + { + "epoch": 0.94, + "learning_rate": 4.055235495031895e-07, + "loss": 3.768, + "step": 7377 + }, + { + "epoch": 0.94, + "learning_rate": 4.03666244526521e-07, + "loss": 3.99, + "step": 7378 + }, + { + "epoch": 0.94, + "learning_rate": 4.018131679447701e-07, + "loss": 3.8339, + "step": 7379 + }, + { + "epoch": 0.94, + "learning_rate": 3.9996432007649855e-07, + "loss": 4.0372, + "step": 7380 + }, + { + "epoch": 0.94, + "learning_rate": 3.9811970123955214e-07, + "loss": 3.8994, + "step": 7381 + }, + { + "epoch": 0.94, + "learning_rate": 3.9627931175103827e-07, + "loss": 3.8827, + "step": 7382 + }, + { + "epoch": 0.95, + "learning_rate": 3.9444315192734006e-07, + "loss": 3.9418, + "step": 7383 + }, + { + "epoch": 0.95, + "learning_rate": 3.9261122208411885e-07, + "loss": 3.8904, + "step": 7384 + }, + { + "epoch": 0.95, + "learning_rate": 3.9078352253630047e-07, + "loss": 3.7947, + "step": 7385 + }, + { + "epoch": 0.95, + "learning_rate": 3.8896005359808916e-07, + "loss": 3.9814, + "step": 7386 + }, + { + "epoch": 0.95, + "learning_rate": 3.871408155829592e-07, + "loss": 3.923, + "step": 7387 + }, + { + "epoch": 0.95, + "learning_rate": 3.853258088036604e-07, + "loss": 4.0586, + "step": 7388 + }, + { + "epoch": 0.95, + "learning_rate": 3.835150335722154e-07, + "loss": 3.7674, + "step": 7389 + }, + { + "epoch": 0.95, + "learning_rate": 3.817084901999113e-07, + "loss": 3.9135, + "step": 7390 + }, + { + "epoch": 0.95, + "learning_rate": 3.7990617899731906e-07, + "loss": 3.8629, + "step": 7391 + }, + { + "epoch": 0.95, + "learning_rate": 3.781081002742742e-07, + "loss": 3.9758, + "step": 7392 + }, + { + "epoch": 0.95, + "learning_rate": 3.7631425433989064e-07, + "loss": 3.9208, + "step": 7393 + }, + { + "epoch": 0.95, + "learning_rate": 3.745246415025466e-07, + "loss": 4.0307, + "step": 7394 + }, + { + "epoch": 0.95, + "learning_rate": 3.727392620699016e-07, + "loss": 3.7739, + "step": 7395 + }, + { + "epoch": 0.95, + "learning_rate": 3.7095811634887956e-07, + "loss": 3.8212, + "step": 7396 + }, + { + "epoch": 0.95, + "learning_rate": 3.6918120464568273e-07, + "loss": 3.7894, + "step": 7397 + }, + { + "epoch": 0.95, + "learning_rate": 3.6740852726578066e-07, + "loss": 3.8711, + "step": 7398 + }, + { + "epoch": 0.95, + "learning_rate": 3.656400845139213e-07, + "loss": 3.884, + "step": 7399 + }, + { + "epoch": 0.95, + "learning_rate": 3.6387587669411414e-07, + "loss": 3.8769, + "step": 7400 + }, + { + "epoch": 0.95, + "learning_rate": 3.6211590410965004e-07, + "loss": 3.9566, + "step": 7401 + }, + { + "epoch": 0.95, + "learning_rate": 3.603601670630896e-07, + "loss": 3.9514, + "step": 7402 + }, + { + "epoch": 0.95, + "learning_rate": 3.5860866585626373e-07, + "loss": 3.9879, + "step": 7403 + }, + { + "epoch": 0.95, + "learning_rate": 3.5686140079027595e-07, + "loss": 3.8706, + "step": 7404 + }, + { + "epoch": 0.95, + "learning_rate": 3.551183721655027e-07, + "loss": 3.8787, + "step": 7405 + }, + { + "epoch": 0.95, + "learning_rate": 3.533795802815876e-07, + "loss": 3.8064, + "step": 7406 + }, + { + "epoch": 0.95, + "learning_rate": 3.516450254374526e-07, + "loss": 3.7525, + "step": 7407 + }, + { + "epoch": 0.95, + "learning_rate": 3.499147079312842e-07, + "loss": 3.8951, + "step": 7408 + }, + { + "epoch": 0.95, + "learning_rate": 3.4818862806054453e-07, + "loss": 3.8747, + "step": 7409 + }, + { + "epoch": 0.95, + "learning_rate": 3.4646678612196834e-07, + "loss": 3.9375, + "step": 7410 + }, + { + "epoch": 0.95, + "learning_rate": 3.447491824115606e-07, + "loss": 3.9967, + "step": 7411 + }, + { + "epoch": 0.95, + "learning_rate": 3.43035817224599e-07, + "loss": 4.0224, + "step": 7412 + }, + { + "epoch": 0.95, + "learning_rate": 3.4132669085562563e-07, + "loss": 3.9911, + "step": 7413 + }, + { + "epoch": 0.95, + "learning_rate": 3.3962180359846387e-07, + "loss": 3.8775, + "step": 7414 + }, + { + "epoch": 0.95, + "learning_rate": 3.379211557462014e-07, + "loss": 3.9359, + "step": 7415 + }, + { + "epoch": 0.95, + "learning_rate": 3.362247475911989e-07, + "loss": 3.8293, + "step": 7416 + }, + { + "epoch": 0.95, + "learning_rate": 3.3453257942508973e-07, + "loss": 3.9758, + "step": 7417 + }, + { + "epoch": 0.95, + "learning_rate": 3.328446515387773e-07, + "loss": 3.8843, + "step": 7418 + }, + { + "epoch": 0.95, + "learning_rate": 3.3116096422243224e-07, + "loss": 3.8161, + "step": 7419 + }, + { + "epoch": 0.95, + "learning_rate": 3.294815177655064e-07, + "loss": 3.7834, + "step": 7420 + }, + { + "epoch": 0.95, + "learning_rate": 3.2780631245671046e-07, + "loss": 3.8477, + "step": 7421 + }, + { + "epoch": 0.95, + "learning_rate": 3.2613534858403625e-07, + "loss": 4.0115, + "step": 7422 + }, + { + "epoch": 0.95, + "learning_rate": 3.244686264347374e-07, + "loss": 3.9292, + "step": 7423 + }, + { + "epoch": 0.95, + "learning_rate": 3.2280614629534854e-07, + "loss": 4.0526, + "step": 7424 + }, + { + "epoch": 0.95, + "learning_rate": 3.211479084516633e-07, + "loss": 4.051, + "step": 7425 + }, + { + "epoch": 0.95, + "learning_rate": 3.1949391318875644e-07, + "loss": 3.7212, + "step": 7426 + }, + { + "epoch": 0.95, + "learning_rate": 3.1784416079096434e-07, + "loss": 3.8548, + "step": 7427 + }, + { + "epoch": 0.95, + "learning_rate": 3.161986515419019e-07, + "loss": 3.8882, + "step": 7428 + }, + { + "epoch": 0.95, + "learning_rate": 3.1455738572444824e-07, + "loss": 4.0286, + "step": 7429 + }, + { + "epoch": 0.95, + "learning_rate": 3.1292036362076114e-07, + "loss": 3.8745, + "step": 7430 + }, + { + "epoch": 0.95, + "learning_rate": 3.112875855122599e-07, + "loss": 3.8745, + "step": 7431 + }, + { + "epoch": 0.95, + "learning_rate": 3.0965905167963936e-07, + "loss": 3.8918, + "step": 7432 + }, + { + "epoch": 0.95, + "learning_rate": 3.080347624028618e-07, + "loss": 3.7241, + "step": 7433 + }, + { + "epoch": 0.95, + "learning_rate": 3.0641471796116483e-07, + "loss": 3.8736, + "step": 7434 + }, + { + "epoch": 0.95, + "learning_rate": 3.04798918633048e-07, + "loss": 3.9025, + "step": 7435 + }, + { + "epoch": 0.95, + "learning_rate": 3.0318736469628906e-07, + "loss": 3.8796, + "step": 7436 + }, + { + "epoch": 0.95, + "learning_rate": 3.015800564279303e-07, + "loss": 3.8174, + "step": 7437 + }, + { + "epoch": 0.95, + "learning_rate": 2.9997699410428957e-07, + "loss": 3.7704, + "step": 7438 + }, + { + "epoch": 0.95, + "learning_rate": 2.98378178000952e-07, + "loss": 4.0832, + "step": 7439 + }, + { + "epoch": 0.95, + "learning_rate": 2.967836083927727e-07, + "loss": 3.8638, + "step": 7440 + }, + { + "epoch": 0.95, + "learning_rate": 2.9519328555387415e-07, + "loss": 4.0445, + "step": 7441 + }, + { + "epoch": 0.95, + "learning_rate": 2.936072097576514e-07, + "loss": 3.9411, + "step": 7442 + }, + { + "epoch": 0.95, + "learning_rate": 2.920253812767698e-07, + "loss": 3.9829, + "step": 7443 + }, + { + "epoch": 0.95, + "learning_rate": 2.9044780038316454e-07, + "loss": 3.8282, + "step": 7444 + }, + { + "epoch": 0.95, + "learning_rate": 2.888744673480437e-07, + "loss": 3.8826, + "step": 7445 + }, + { + "epoch": 0.95, + "learning_rate": 2.873053824418742e-07, + "loss": 3.806, + "step": 7446 + }, + { + "epoch": 0.95, + "learning_rate": 2.8574054593440427e-07, + "loss": 3.8678, + "step": 7447 + }, + { + "epoch": 0.95, + "learning_rate": 2.8417995809464635e-07, + "loss": 3.83, + "step": 7448 + }, + { + "epoch": 0.95, + "learning_rate": 2.82623619190886e-07, + "loss": 3.8387, + "step": 7449 + }, + { + "epoch": 0.95, + "learning_rate": 2.8107152949067295e-07, + "loss": 4.0065, + "step": 7450 + }, + { + "epoch": 0.95, + "learning_rate": 2.795236892608327e-07, + "loss": 3.817, + "step": 7451 + }, + { + "epoch": 0.95, + "learning_rate": 2.779800987674497e-07, + "loss": 3.858, + "step": 7452 + }, + { + "epoch": 0.95, + "learning_rate": 2.7644075827589213e-07, + "loss": 3.8632, + "step": 7453 + }, + { + "epoch": 0.95, + "learning_rate": 2.7490566805079e-07, + "loss": 3.9142, + "step": 7454 + }, + { + "epoch": 0.95, + "learning_rate": 2.7337482835604057e-07, + "loss": 3.8909, + "step": 7455 + }, + { + "epoch": 0.95, + "learning_rate": 2.7184823945481107e-07, + "loss": 3.9792, + "step": 7456 + }, + { + "epoch": 0.95, + "learning_rate": 2.7032590160954716e-07, + "loss": 3.8623, + "step": 7457 + }, + { + "epoch": 0.95, + "learning_rate": 2.6880781508194784e-07, + "loss": 3.8133, + "step": 7458 + }, + { + "epoch": 0.95, + "learning_rate": 2.67293980132996e-07, + "loss": 3.9847, + "step": 7459 + }, + { + "epoch": 0.95, + "learning_rate": 2.657843970229335e-07, + "loss": 3.8938, + "step": 7460 + }, + { + "epoch": 0.96, + "learning_rate": 2.642790660112776e-07, + "loss": 3.8276, + "step": 7461 + }, + { + "epoch": 0.96, + "learning_rate": 2.6277798735681314e-07, + "loss": 3.9505, + "step": 7462 + }, + { + "epoch": 0.96, + "learning_rate": 2.612811613175892e-07, + "loss": 3.928, + "step": 7463 + }, + { + "epoch": 0.96, + "learning_rate": 2.5978858815093046e-07, + "loss": 3.8668, + "step": 7464 + }, + { + "epoch": 0.96, + "learning_rate": 2.583002681134233e-07, + "loss": 3.8671, + "step": 7465 + }, + { + "epoch": 0.96, + "learning_rate": 2.5681620146093265e-07, + "loss": 3.9173, + "step": 7466 + }, + { + "epoch": 0.96, + "learning_rate": 2.5533638844858487e-07, + "loss": 3.8611, + "step": 7467 + }, + { + "epoch": 0.96, + "learning_rate": 2.538608293307765e-07, + "loss": 3.8919, + "step": 7468 + }, + { + "epoch": 0.96, + "learning_rate": 2.52389524361174e-07, + "loss": 4.0068, + "step": 7469 + }, + { + "epoch": 0.96, + "learning_rate": 2.509224737927113e-07, + "loss": 4.0145, + "step": 7470 + }, + { + "epoch": 0.96, + "learning_rate": 2.494596778775893e-07, + "loss": 3.832, + "step": 7471 + }, + { + "epoch": 0.96, + "learning_rate": 2.4800113686728465e-07, + "loss": 3.9516, + "step": 7472 + }, + { + "epoch": 0.96, + "learning_rate": 2.4654685101253016e-07, + "loss": 3.9215, + "step": 7473 + }, + { + "epoch": 0.96, + "learning_rate": 2.450968205633425e-07, + "loss": 3.9025, + "step": 7474 + }, + { + "epoch": 0.96, + "learning_rate": 2.436510457689917e-07, + "loss": 3.8668, + "step": 7475 + }, + { + "epoch": 0.96, + "learning_rate": 2.4220952687802887e-07, + "loss": 4.031, + "step": 7476 + }, + { + "epoch": 0.96, + "learning_rate": 2.4077226413826427e-07, + "loss": 3.9121, + "step": 7477 + }, + { + "epoch": 0.96, + "learning_rate": 2.3933925779678343e-07, + "loss": 3.8515, + "step": 7478 + }, + { + "epoch": 0.96, + "learning_rate": 2.379105080999311e-07, + "loss": 3.9684, + "step": 7479 + }, + { + "epoch": 0.96, + "learning_rate": 2.3648601529333015e-07, + "loss": 3.8193, + "step": 7480 + }, + { + "epoch": 0.96, + "learning_rate": 2.3506577962186805e-07, + "loss": 3.9333, + "step": 7481 + }, + { + "epoch": 0.96, + "learning_rate": 2.3364980132969672e-07, + "loss": 3.857, + "step": 7482 + }, + { + "epoch": 0.96, + "learning_rate": 2.322380806602409e-07, + "loss": 3.8016, + "step": 7483 + }, + { + "epoch": 0.96, + "learning_rate": 2.3083061785618977e-07, + "loss": 3.9255, + "step": 7484 + }, + { + "epoch": 0.96, + "learning_rate": 2.2942741315950533e-07, + "loss": 3.8736, + "step": 7485 + }, + { + "epoch": 0.96, + "learning_rate": 2.2802846681141688e-07, + "loss": 3.8135, + "step": 7486 + }, + { + "epoch": 0.96, + "learning_rate": 2.2663377905241255e-07, + "loss": 3.9706, + "step": 7487 + }, + { + "epoch": 0.96, + "learning_rate": 2.2524335012225894e-07, + "loss": 3.802, + "step": 7488 + }, + { + "epoch": 0.96, + "learning_rate": 2.238571802599898e-07, + "loss": 3.9845, + "step": 7489 + }, + { + "epoch": 0.96, + "learning_rate": 2.2247526970390064e-07, + "loss": 3.9303, + "step": 7490 + }, + { + "epoch": 0.96, + "learning_rate": 2.2109761869155698e-07, + "loss": 3.8672, + "step": 7491 + }, + { + "epoch": 0.96, + "learning_rate": 2.1972422745979438e-07, + "loss": 3.9997, + "step": 7492 + }, + { + "epoch": 0.96, + "learning_rate": 2.1835509624471563e-07, + "loss": 4.0392, + "step": 7493 + }, + { + "epoch": 0.96, + "learning_rate": 2.16990225281688e-07, + "loss": 3.834, + "step": 7494 + }, + { + "epoch": 0.96, + "learning_rate": 2.1562961480534882e-07, + "loss": 3.9918, + "step": 7495 + }, + { + "epoch": 0.96, + "learning_rate": 2.1427326504960822e-07, + "loss": 3.88, + "step": 7496 + }, + { + "epoch": 0.96, + "learning_rate": 2.1292117624763242e-07, + "loss": 3.8605, + "step": 7497 + }, + { + "epoch": 0.96, + "learning_rate": 2.115733486318605e-07, + "loss": 3.8422, + "step": 7498 + }, + { + "epoch": 0.96, + "learning_rate": 2.1022978243400438e-07, + "loss": 3.8433, + "step": 7499 + }, + { + "epoch": 0.96, + "learning_rate": 2.0889047788503756e-07, + "loss": 3.8527, + "step": 7500 + }, + { + "epoch": 0.96, + "learning_rate": 2.0755543521519817e-07, + "loss": 3.8779, + "step": 7501 + }, + { + "epoch": 0.96, + "learning_rate": 2.06224654653997e-07, + "loss": 4.0056, + "step": 7502 + }, + { + "epoch": 0.96, + "learning_rate": 2.0489813643021495e-07, + "loss": 3.8843, + "step": 7503 + }, + { + "epoch": 0.96, + "learning_rate": 2.0357588077189182e-07, + "loss": 3.9728, + "step": 7504 + }, + { + "epoch": 0.96, + "learning_rate": 2.0225788790633748e-07, + "loss": 3.8437, + "step": 7505 + }, + { + "epoch": 0.96, + "learning_rate": 2.0094415806013457e-07, + "loss": 4.1151, + "step": 7506 + }, + { + "epoch": 0.96, + "learning_rate": 1.996346914591274e-07, + "loss": 3.9174, + "step": 7507 + }, + { + "epoch": 0.96, + "learning_rate": 1.983294883284248e-07, + "loss": 3.9564, + "step": 7508 + }, + { + "epoch": 0.96, + "learning_rate": 1.970285488924084e-07, + "loss": 4.0676, + "step": 7509 + }, + { + "epoch": 0.96, + "learning_rate": 1.957318733747271e-07, + "loss": 3.9541, + "step": 7510 + }, + { + "epoch": 0.96, + "learning_rate": 1.944394619982942e-07, + "loss": 3.8856, + "step": 7511 + }, + { + "epoch": 0.96, + "learning_rate": 1.9315131498528483e-07, + "loss": 3.7798, + "step": 7512 + }, + { + "epoch": 0.96, + "learning_rate": 1.9186743255714957e-07, + "loss": 3.9078, + "step": 7513 + }, + { + "epoch": 0.96, + "learning_rate": 1.905878149346063e-07, + "loss": 3.9113, + "step": 7514 + }, + { + "epoch": 0.96, + "learning_rate": 1.893124623376319e-07, + "loss": 3.8912, + "step": 7515 + }, + { + "epoch": 0.96, + "learning_rate": 1.8804137498547592e-07, + "loss": 3.7834, + "step": 7516 + }, + { + "epoch": 0.96, + "learning_rate": 1.867745530966497e-07, + "loss": 3.8407, + "step": 7517 + }, + { + "epoch": 0.96, + "learning_rate": 1.8551199688894015e-07, + "loss": 3.8902, + "step": 7518 + }, + { + "epoch": 0.96, + "learning_rate": 1.842537065793931e-07, + "loss": 3.8851, + "step": 7519 + }, + { + "epoch": 0.96, + "learning_rate": 1.8299968238432163e-07, + "loss": 3.9059, + "step": 7520 + }, + { + "epoch": 0.96, + "learning_rate": 1.8174992451930606e-07, + "loss": 3.9404, + "step": 7521 + }, + { + "epoch": 0.96, + "learning_rate": 1.805044331991995e-07, + "loss": 3.9008, + "step": 7522 + }, + { + "epoch": 0.96, + "learning_rate": 1.7926320863811131e-07, + "loss": 3.8762, + "step": 7523 + }, + { + "epoch": 0.96, + "learning_rate": 1.7802625104942627e-07, + "loss": 3.8631, + "step": 7524 + }, + { + "epoch": 0.96, + "learning_rate": 1.7679356064578822e-07, + "loss": 3.9311, + "step": 7525 + }, + { + "epoch": 0.96, + "learning_rate": 1.7556513763911097e-07, + "loss": 3.8675, + "step": 7526 + }, + { + "epoch": 0.96, + "learning_rate": 1.7434098224057837e-07, + "loss": 3.833, + "step": 7527 + }, + { + "epoch": 0.96, + "learning_rate": 1.7312109466063596e-07, + "loss": 3.8537, + "step": 7528 + }, + { + "epoch": 0.96, + "learning_rate": 1.7190547510899102e-07, + "loss": 3.9725, + "step": 7529 + }, + { + "epoch": 0.96, + "learning_rate": 1.706941237946291e-07, + "loss": 3.7896, + "step": 7530 + }, + { + "epoch": 0.96, + "learning_rate": 1.6948704092579203e-07, + "loss": 3.9095, + "step": 7531 + }, + { + "epoch": 0.96, + "learning_rate": 1.6828422670999432e-07, + "loss": 3.8728, + "step": 7532 + }, + { + "epoch": 0.96, + "learning_rate": 1.6708568135401226e-07, + "loss": 3.8633, + "step": 7533 + }, + { + "epoch": 0.96, + "learning_rate": 1.6589140506388934e-07, + "loss": 3.9162, + "step": 7534 + }, + { + "epoch": 0.96, + "learning_rate": 1.6470139804493356e-07, + "loss": 3.988, + "step": 7535 + }, + { + "epoch": 0.96, + "learning_rate": 1.6351566050172573e-07, + "loss": 3.7971, + "step": 7536 + }, + { + "epoch": 0.96, + "learning_rate": 1.6233419263810278e-07, + "loss": 3.9613, + "step": 7537 + }, + { + "epoch": 0.96, + "learning_rate": 1.6115699465717448e-07, + "loss": 3.9173, + "step": 7538 + }, + { + "epoch": 0.96, + "learning_rate": 1.5998406676131783e-07, + "loss": 4.0073, + "step": 7539 + }, + { + "epoch": 0.97, + "learning_rate": 1.5881540915216874e-07, + "loss": 3.7275, + "step": 7540 + }, + { + "epoch": 0.97, + "learning_rate": 1.5765102203063598e-07, + "loss": 3.863, + "step": 7541 + }, + { + "epoch": 0.97, + "learning_rate": 1.5649090559688717e-07, + "loss": 3.8215, + "step": 7542 + }, + { + "epoch": 0.97, + "learning_rate": 1.5533506005036557e-07, + "loss": 4.0019, + "step": 7543 + }, + { + "epoch": 0.97, + "learning_rate": 1.5418348558977058e-07, + "loss": 3.9161, + "step": 7544 + }, + { + "epoch": 0.97, + "learning_rate": 1.5303618241306882e-07, + "loss": 3.8174, + "step": 7545 + }, + { + "epoch": 0.97, + "learning_rate": 1.5189315071749976e-07, + "loss": 3.7701, + "step": 7546 + }, + { + "epoch": 0.97, + "learning_rate": 1.5075439069956455e-07, + "loss": 3.7792, + "step": 7547 + }, + { + "epoch": 0.97, + "learning_rate": 1.4961990255502324e-07, + "loss": 3.8325, + "step": 7548 + }, + { + "epoch": 0.97, + "learning_rate": 1.4848968647891148e-07, + "loss": 3.8757, + "step": 7549 + }, + { + "epoch": 0.97, + "learning_rate": 1.4736374266552944e-07, + "loss": 3.8373, + "step": 7550 + }, + { + "epoch": 0.97, + "learning_rate": 1.4624207130843338e-07, + "loss": 3.8772, + "step": 7551 + }, + { + "epoch": 0.97, + "learning_rate": 1.4512467260045514e-07, + "loss": 3.8759, + "step": 7552 + }, + { + "epoch": 0.97, + "learning_rate": 1.4401154673368832e-07, + "loss": 3.9824, + "step": 7553 + }, + { + "epoch": 0.97, + "learning_rate": 1.4290269389949096e-07, + "loss": 3.8278, + "step": 7554 + }, + { + "epoch": 0.97, + "learning_rate": 1.417981142884911e-07, + "loss": 3.9073, + "step": 7555 + }, + { + "epoch": 0.97, + "learning_rate": 1.4069780809057575e-07, + "loss": 3.8046, + "step": 7556 + }, + { + "epoch": 0.97, + "learning_rate": 1.3960177549489916e-07, + "loss": 4.0558, + "step": 7557 + }, + { + "epoch": 0.97, + "learning_rate": 1.3851001668988562e-07, + "loss": 3.9131, + "step": 7558 + }, + { + "epoch": 0.97, + "learning_rate": 1.3742253186321828e-07, + "loss": 3.8902, + "step": 7559 + }, + { + "epoch": 0.97, + "learning_rate": 1.3633932120184767e-07, + "loss": 3.969, + "step": 7560 + }, + { + "epoch": 0.97, + "learning_rate": 1.3526038489199422e-07, + "loss": 3.8648, + "step": 7561 + }, + { + "epoch": 0.97, + "learning_rate": 1.3418572311913736e-07, + "loss": 3.9861, + "step": 7562 + }, + { + "epoch": 0.97, + "learning_rate": 1.331153360680265e-07, + "loss": 3.8606, + "step": 7563 + }, + { + "epoch": 0.97, + "learning_rate": 1.3204922392266728e-07, + "loss": 3.8864, + "step": 7564 + }, + { + "epoch": 0.97, + "learning_rate": 1.309873868663436e-07, + "loss": 3.8827, + "step": 7565 + }, + { + "epoch": 0.97, + "learning_rate": 1.2992982508159003e-07, + "loss": 3.8264, + "step": 7566 + }, + { + "epoch": 0.97, + "learning_rate": 1.2887653875021943e-07, + "loss": 4.0357, + "step": 7567 + }, + { + "epoch": 0.97, + "learning_rate": 1.2782752805330366e-07, + "loss": 3.8824, + "step": 7568 + }, + { + "epoch": 0.97, + "learning_rate": 1.2678279317117903e-07, + "loss": 3.8515, + "step": 7569 + }, + { + "epoch": 0.97, + "learning_rate": 1.2574233428344905e-07, + "loss": 4.054, + "step": 7570 + }, + { + "epoch": 0.97, + "learning_rate": 1.2470615156897625e-07, + "loss": 4.0116, + "step": 7571 + }, + { + "epoch": 0.97, + "learning_rate": 1.2367424520589588e-07, + "loss": 4.0042, + "step": 7572 + }, + { + "epoch": 0.97, + "learning_rate": 1.2264661537160493e-07, + "loss": 3.8969, + "step": 7573 + }, + { + "epoch": 0.97, + "learning_rate": 1.216232622427621e-07, + "loss": 3.9466, + "step": 7574 + }, + { + "epoch": 0.97, + "learning_rate": 1.206041859952961e-07, + "loss": 3.8922, + "step": 7575 + }, + { + "epoch": 0.97, + "learning_rate": 1.1958938680439736e-07, + "loss": 3.8028, + "step": 7576 + }, + { + "epoch": 0.97, + "learning_rate": 1.1857886484452074e-07, + "loss": 3.749, + "step": 7577 + }, + { + "epoch": 0.97, + "learning_rate": 1.1757262028938842e-07, + "loss": 4.0325, + "step": 7578 + }, + { + "epoch": 0.97, + "learning_rate": 1.1657065331198425e-07, + "loss": 3.7782, + "step": 7579 + }, + { + "epoch": 0.97, + "learning_rate": 1.1557296408455931e-07, + "loss": 3.9352, + "step": 7580 + }, + { + "epoch": 0.97, + "learning_rate": 1.1457955277862642e-07, + "loss": 3.9799, + "step": 7581 + }, + { + "epoch": 0.97, + "learning_rate": 1.1359041956496286e-07, + "loss": 3.8789, + "step": 7582 + }, + { + "epoch": 0.97, + "learning_rate": 1.1260556461361593e-07, + "loss": 3.9247, + "step": 7583 + }, + { + "epoch": 0.97, + "learning_rate": 1.1162498809389189e-07, + "loss": 3.8943, + "step": 7584 + }, + { + "epoch": 0.97, + "learning_rate": 1.106486901743642e-07, + "loss": 3.865, + "step": 7585 + }, + { + "epoch": 0.97, + "learning_rate": 1.0967667102286528e-07, + "loss": 3.8657, + "step": 7586 + }, + { + "epoch": 0.97, + "learning_rate": 1.0870893080650313e-07, + "loss": 3.7862, + "step": 7587 + }, + { + "epoch": 0.97, + "learning_rate": 1.0774546969163913e-07, + "loss": 3.8338, + "step": 7588 + }, + { + "epoch": 0.97, + "learning_rate": 1.0678628784390465e-07, + "loss": 3.9608, + "step": 7589 + }, + { + "epoch": 0.97, + "learning_rate": 1.058313854281956e-07, + "loss": 3.8893, + "step": 7590 + }, + { + "epoch": 0.97, + "learning_rate": 1.0488076260866952e-07, + "loss": 3.8759, + "step": 7591 + }, + { + "epoch": 0.97, + "learning_rate": 1.039344195487485e-07, + "loss": 3.9532, + "step": 7592 + }, + { + "epoch": 0.97, + "learning_rate": 1.0299235641111904e-07, + "loss": 3.9081, + "step": 7593 + }, + { + "epoch": 0.97, + "learning_rate": 1.0205457335773494e-07, + "loss": 3.8162, + "step": 7594 + }, + { + "epoch": 0.97, + "learning_rate": 1.0112107054981168e-07, + "loss": 3.9036, + "step": 7595 + }, + { + "epoch": 0.97, + "learning_rate": 1.0019184814782923e-07, + "loss": 3.9478, + "step": 7596 + }, + { + "epoch": 0.97, + "learning_rate": 9.926690631153201e-08, + "loss": 4.0985, + "step": 7597 + }, + { + "epoch": 0.97, + "learning_rate": 9.834624519992896e-08, + "loss": 3.9151, + "step": 7598 + }, + { + "epoch": 0.97, + "learning_rate": 9.742986497128792e-08, + "loss": 3.8764, + "step": 7599 + }, + { + "epoch": 0.97, + "learning_rate": 9.65177657831523e-08, + "loss": 3.8717, + "step": 7600 + }, + { + "epoch": 0.97, + "learning_rate": 9.560994779231614e-08, + "loss": 3.9503, + "step": 7601 + }, + { + "epoch": 0.97, + "learning_rate": 9.470641115484625e-08, + "loss": 3.9658, + "step": 7602 + }, + { + "epoch": 0.97, + "learning_rate": 9.380715602607116e-08, + "loss": 3.9473, + "step": 7603 + }, + { + "epoch": 0.97, + "learning_rate": 9.291218256058386e-08, + "loss": 3.9654, + "step": 7604 + }, + { + "epoch": 0.97, + "learning_rate": 9.202149091223911e-08, + "loss": 3.6743, + "step": 7605 + }, + { + "epoch": 0.97, + "learning_rate": 9.113508123415881e-08, + "loss": 3.8215, + "step": 7606 + }, + { + "epoch": 0.97, + "learning_rate": 9.025295367872666e-08, + "loss": 3.9402, + "step": 7607 + }, + { + "epoch": 0.97, + "learning_rate": 8.937510839759078e-08, + "loss": 3.8534, + "step": 7608 + }, + { + "epoch": 0.97, + "learning_rate": 8.850154554166101e-08, + "loss": 3.8453, + "step": 7609 + }, + { + "epoch": 0.97, + "learning_rate": 8.763226526111722e-08, + "loss": 3.9108, + "step": 7610 + }, + { + "epoch": 0.97, + "learning_rate": 8.676726770539267e-08, + "loss": 3.9961, + "step": 7611 + }, + { + "epoch": 0.97, + "learning_rate": 8.590655302319617e-08, + "loss": 3.9537, + "step": 7612 + }, + { + "epoch": 0.97, + "learning_rate": 8.505012136249269e-08, + "loss": 3.9758, + "step": 7613 + }, + { + "epoch": 0.97, + "learning_rate": 8.41979728705089e-08, + "loss": 3.8345, + "step": 7614 + }, + { + "epoch": 0.97, + "learning_rate": 8.335010769374429e-08, + "loss": 4.0146, + "step": 7615 + }, + { + "epoch": 0.97, + "learning_rate": 8.25065259779545e-08, + "loss": 3.9455, + "step": 7616 + }, + { + "epoch": 0.97, + "learning_rate": 8.166722786816238e-08, + "loss": 3.9062, + "step": 7617 + }, + { + "epoch": 0.98, + "learning_rate": 8.083221350865256e-08, + "loss": 3.8486, + "step": 7618 + }, + { + "epoch": 0.98, + "learning_rate": 8.000148304297129e-08, + "loss": 3.8788, + "step": 7619 + }, + { + "epoch": 0.98, + "learning_rate": 7.91750366139321e-08, + "loss": 3.7701, + "step": 7620 + }, + { + "epoch": 0.98, + "learning_rate": 7.835287436361305e-08, + "loss": 3.9148, + "step": 7621 + }, + { + "epoch": 0.98, + "learning_rate": 7.753499643334827e-08, + "loss": 3.8198, + "step": 7622 + }, + { + "epoch": 0.98, + "learning_rate": 7.672140296374475e-08, + "loss": 3.8837, + "step": 7623 + }, + { + "epoch": 0.98, + "learning_rate": 7.591209409466837e-08, + "loss": 3.9286, + "step": 7624 + }, + { + "epoch": 0.98, + "learning_rate": 7.510706996524674e-08, + "loss": 3.9377, + "step": 7625 + }, + { + "epoch": 0.98, + "learning_rate": 7.43063307138775e-08, + "loss": 4.0004, + "step": 7626 + }, + { + "epoch": 0.98, + "learning_rate": 7.350987647820884e-08, + "loss": 3.9183, + "step": 7627 + }, + { + "epoch": 0.98, + "learning_rate": 7.271770739516737e-08, + "loss": 3.869, + "step": 7628 + }, + { + "epoch": 0.98, + "learning_rate": 7.192982360093581e-08, + "loss": 3.8769, + "step": 7629 + }, + { + "epoch": 0.98, + "learning_rate": 7.114622523095305e-08, + "loss": 3.7905, + "step": 7630 + }, + { + "epoch": 0.98, + "learning_rate": 7.036691241993909e-08, + "loss": 3.9351, + "step": 7631 + }, + { + "epoch": 0.98, + "learning_rate": 6.959188530185901e-08, + "loss": 3.9669, + "step": 7632 + }, + { + "epoch": 0.98, + "learning_rate": 6.882114400995343e-08, + "loss": 3.8672, + "step": 7633 + }, + { + "epoch": 0.98, + "learning_rate": 6.805468867672193e-08, + "loss": 3.7378, + "step": 7634 + }, + { + "epoch": 0.98, + "learning_rate": 6.729251943392301e-08, + "loss": 3.9698, + "step": 7635 + }, + { + "epoch": 0.98, + "learning_rate": 6.653463641258517e-08, + "loss": 3.8399, + "step": 7636 + }, + { + "epoch": 0.98, + "learning_rate": 6.578103974299588e-08, + "loss": 3.8838, + "step": 7637 + }, + { + "epoch": 0.98, + "learning_rate": 6.503172955470981e-08, + "loss": 3.9506, + "step": 7638 + }, + { + "epoch": 0.98, + "learning_rate": 6.428670597654063e-08, + "loss": 3.8714, + "step": 7639 + }, + { + "epoch": 0.98, + "learning_rate": 6.354596913656363e-08, + "loss": 3.8571, + "step": 7640 + }, + { + "epoch": 0.98, + "learning_rate": 6.280951916212419e-08, + "loss": 3.8716, + "step": 7641 + }, + { + "epoch": 0.98, + "learning_rate": 6.207735617982658e-08, + "loss": 3.9561, + "step": 7642 + }, + { + "epoch": 0.98, + "learning_rate": 6.134948031553678e-08, + "loss": 3.8928, + "step": 7643 + }, + { + "epoch": 0.98, + "learning_rate": 6.062589169438249e-08, + "loss": 4.0654, + "step": 7644 + }, + { + "epoch": 0.98, + "learning_rate": 5.99065904407614e-08, + "loss": 3.831, + "step": 7645 + }, + { + "epoch": 0.98, + "learning_rate": 5.9191576678324646e-08, + "loss": 3.8943, + "step": 7646 + }, + { + "epoch": 0.98, + "learning_rate": 5.8480850529998856e-08, + "loss": 3.8998, + "step": 7647 + }, + { + "epoch": 0.98, + "learning_rate": 5.7774412117958534e-08, + "loss": 3.9314, + "step": 7648 + }, + { + "epoch": 0.98, + "learning_rate": 5.707226156365375e-08, + "loss": 3.8798, + "step": 7649 + }, + { + "epoch": 0.98, + "learning_rate": 5.637439898779073e-08, + "loss": 3.8894, + "step": 7650 + }, + { + "epoch": 0.98, + "learning_rate": 5.56808245103374e-08, + "loss": 4.0096, + "step": 7651 + }, + { + "epoch": 0.98, + "learning_rate": 5.499153825053172e-08, + "loss": 4.0174, + "step": 7652 + }, + { + "epoch": 0.98, + "learning_rate": 5.4306540326867774e-08, + "loss": 3.9342, + "step": 7653 + }, + { + "epoch": 0.98, + "learning_rate": 5.3625830857104154e-08, + "loss": 3.8649, + "step": 7654 + }, + { + "epoch": 0.98, + "learning_rate": 5.294940995826392e-08, + "loss": 3.9927, + "step": 7655 + }, + { + "epoch": 0.98, + "learning_rate": 5.227727774663183e-08, + "loss": 3.8256, + "step": 7656 + }, + { + "epoch": 0.98, + "learning_rate": 5.1609434337754337e-08, + "loss": 3.9493, + "step": 7657 + }, + { + "epoch": 0.98, + "learning_rate": 5.094587984643962e-08, + "loss": 3.89, + "step": 7658 + }, + { + "epoch": 0.98, + "learning_rate": 5.0286614386763074e-08, + "loss": 4.0601, + "step": 7659 + }, + { + "epoch": 0.98, + "learning_rate": 4.963163807205906e-08, + "loss": 3.9295, + "step": 7660 + }, + { + "epoch": 0.98, + "learning_rate": 4.898095101492917e-08, + "loss": 3.9333, + "step": 7661 + }, + { + "epoch": 0.98, + "learning_rate": 4.833455332722836e-08, + "loss": 3.9424, + "step": 7662 + }, + { + "epoch": 0.98, + "learning_rate": 4.769244512008164e-08, + "loss": 3.8401, + "step": 7663 + }, + { + "epoch": 0.98, + "learning_rate": 4.7054626503878486e-08, + "loss": 4.083, + "step": 7664 + }, + { + "epoch": 0.98, + "learning_rate": 4.642109758826174e-08, + "loss": 3.8756, + "step": 7665 + }, + { + "epoch": 0.98, + "learning_rate": 4.579185848214429e-08, + "loss": 3.7777, + "step": 7666 + }, + { + "epoch": 0.98, + "learning_rate": 4.5166909293703484e-08, + "loss": 3.8752, + "step": 7667 + }, + { + "epoch": 0.98, + "learning_rate": 4.454625013037006e-08, + "loss": 3.6842, + "step": 7668 + }, + { + "epoch": 0.98, + "learning_rate": 4.392988109884477e-08, + "loss": 3.9635, + "step": 7669 + }, + { + "epoch": 0.98, + "learning_rate": 4.3317802305090085e-08, + "loss": 3.9794, + "step": 7670 + }, + { + "epoch": 0.98, + "learning_rate": 4.271001385432738e-08, + "loss": 4.0577, + "step": 7671 + }, + { + "epoch": 0.98, + "learning_rate": 4.2106515851042525e-08, + "loss": 3.7526, + "step": 7672 + }, + { + "epoch": 0.98, + "learning_rate": 4.150730839898309e-08, + "loss": 3.8728, + "step": 7673 + }, + { + "epoch": 0.98, + "learning_rate": 4.091239160116112e-08, + "loss": 3.9084, + "step": 7674 + }, + { + "epoch": 0.98, + "learning_rate": 4.032176555985035e-08, + "loss": 3.9531, + "step": 7675 + }, + { + "epoch": 0.98, + "learning_rate": 3.9735430376586226e-08, + "loss": 3.8591, + "step": 7676 + }, + { + "epoch": 0.98, + "learning_rate": 3.9153386152165906e-08, + "loss": 3.7733, + "step": 7677 + }, + { + "epoch": 0.98, + "learning_rate": 3.857563298664823e-08, + "loss": 3.7583, + "step": 7678 + }, + { + "epoch": 0.98, + "learning_rate": 3.800217097935932e-08, + "loss": 3.9136, + "step": 7679 + }, + { + "epoch": 0.98, + "learning_rate": 3.7433000228878634e-08, + "loss": 3.8873, + "step": 7680 + }, + { + "epoch": 0.98, + "learning_rate": 3.686812083305569e-08, + "loss": 3.9165, + "step": 7681 + }, + { + "epoch": 0.98, + "learning_rate": 3.630753288900446e-08, + "loss": 3.9944, + "step": 7682 + }, + { + "epoch": 0.98, + "learning_rate": 3.575123649308953e-08, + "loss": 4.0359, + "step": 7683 + }, + { + "epoch": 0.98, + "learning_rate": 3.5199231740945525e-08, + "loss": 3.9917, + "step": 7684 + }, + { + "epoch": 0.98, + "learning_rate": 3.4651518727474296e-08, + "loss": 4.001, + "step": 7685 + }, + { + "epoch": 0.98, + "learning_rate": 3.410809754682831e-08, + "loss": 3.9152, + "step": 7686 + }, + { + "epoch": 0.98, + "learning_rate": 3.3568968292430056e-08, + "loss": 3.7749, + "step": 7687 + }, + { + "epoch": 0.98, + "learning_rate": 3.303413105696096e-08, + "loss": 3.9655, + "step": 7688 + }, + { + "epoch": 0.98, + "learning_rate": 3.250358593236691e-08, + "loss": 3.9224, + "step": 7689 + }, + { + "epoch": 0.98, + "learning_rate": 3.1977333009855506e-08, + "loss": 3.9201, + "step": 7690 + }, + { + "epoch": 0.98, + "learning_rate": 3.145537237989326e-08, + "loss": 3.7562, + "step": 7691 + }, + { + "epoch": 0.98, + "learning_rate": 3.0937704132213975e-08, + "loss": 3.786, + "step": 7692 + }, + { + "epoch": 0.98, + "learning_rate": 3.0424328355810325e-08, + "loss": 3.8673, + "step": 7693 + }, + { + "epoch": 0.98, + "learning_rate": 2.991524513893396e-08, + "loss": 3.9844, + "step": 7694 + }, + { + "epoch": 0.98, + "learning_rate": 2.9410454569106517e-08, + "loss": 3.9177, + "step": 7695 + }, + { + "epoch": 0.99, + "learning_rate": 2.8909956733105813e-08, + "loss": 3.9787, + "step": 7696 + }, + { + "epoch": 0.99, + "learning_rate": 2.8413751716974134e-08, + "loss": 3.8872, + "step": 7697 + }, + { + "epoch": 0.99, + "learning_rate": 2.792183960601269e-08, + "loss": 3.7289, + "step": 7698 + }, + { + "epoch": 0.99, + "learning_rate": 2.743422048478994e-08, + "loss": 3.97, + "step": 7699 + }, + { + "epoch": 0.99, + "learning_rate": 2.6950894437130504e-08, + "loss": 3.897, + "step": 7700 + }, + { + "epoch": 0.99, + "learning_rate": 2.6471861546123466e-08, + "loss": 3.8018, + "step": 7701 + }, + { + "epoch": 0.99, + "learning_rate": 2.59971218941224e-08, + "loss": 3.9316, + "step": 7702 + }, + { + "epoch": 0.99, + "learning_rate": 2.5526675562739798e-08, + "loss": 3.8451, + "step": 7703 + }, + { + "epoch": 0.99, + "learning_rate": 2.506052263284986e-08, + "loss": 4.0354, + "step": 7704 + }, + { + "epoch": 0.99, + "learning_rate": 2.4598663184591252e-08, + "loss": 3.9058, + "step": 7705 + }, + { + "epoch": 0.99, + "learning_rate": 2.4141097297361582e-08, + "loss": 3.9961, + "step": 7706 + }, + { + "epoch": 0.99, + "learning_rate": 2.3687825049822922e-08, + "loss": 3.9333, + "step": 7707 + }, + { + "epoch": 0.99, + "learning_rate": 2.3238846519896274e-08, + "loss": 3.9405, + "step": 7708 + }, + { + "epoch": 0.99, + "learning_rate": 2.2794161784769895e-08, + "loss": 3.9435, + "step": 7709 + }, + { + "epoch": 0.99, + "learning_rate": 2.2353770920885418e-08, + "loss": 3.9908, + "step": 7710 + }, + { + "epoch": 0.99, + "learning_rate": 2.1917674003954502e-08, + "loss": 4.0245, + "step": 7711 + }, + { + "epoch": 0.99, + "learning_rate": 2.1485871108944954e-08, + "loss": 3.8364, + "step": 7712 + }, + { + "epoch": 0.99, + "learning_rate": 2.105836231009184e-08, + "loss": 3.8709, + "step": 7713 + }, + { + "epoch": 0.99, + "learning_rate": 2.063514768088637e-08, + "loss": 3.8617, + "step": 7714 + }, + { + "epoch": 0.99, + "learning_rate": 2.0216227294084234e-08, + "loss": 3.945, + "step": 7715 + }, + { + "epoch": 0.99, + "learning_rate": 1.9801601221702827e-08, + "loss": 3.9245, + "step": 7716 + }, + { + "epoch": 0.99, + "learning_rate": 1.939126953502124e-08, + "loss": 3.87, + "step": 7717 + }, + { + "epoch": 0.99, + "learning_rate": 1.8985232304580268e-08, + "loss": 3.9823, + "step": 7718 + }, + { + "epoch": 0.99, + "learning_rate": 1.8583489600182412e-08, + "loss": 3.9046, + "step": 7719 + }, + { + "epoch": 0.99, + "learning_rate": 1.8186041490894644e-08, + "loss": 3.8326, + "step": 7720 + }, + { + "epoch": 0.99, + "learning_rate": 1.7792888045037314e-08, + "loss": 4.0203, + "step": 7721 + }, + { + "epoch": 0.99, + "learning_rate": 1.7404029330203576e-08, + "loss": 3.8299, + "step": 7722 + }, + { + "epoch": 0.99, + "learning_rate": 1.7019465413239953e-08, + "loss": 3.9595, + "step": 7723 + }, + { + "epoch": 0.99, + "learning_rate": 1.663919636025746e-08, + "loss": 3.9721, + "step": 7724 + }, + { + "epoch": 0.99, + "learning_rate": 1.6263222236628794e-08, + "loss": 3.8459, + "step": 7725 + }, + { + "epoch": 0.99, + "learning_rate": 1.5891543106988372e-08, + "loss": 3.93, + "step": 7726 + }, + { + "epoch": 0.99, + "learning_rate": 1.55241590352323e-08, + "loss": 3.9596, + "step": 7727 + }, + { + "epoch": 0.99, + "learning_rate": 1.5161070084518392e-08, + "loss": 3.9491, + "step": 7728 + }, + { + "epoch": 0.99, + "learning_rate": 1.4802276317266162e-08, + "loss": 3.9528, + "step": 7729 + }, + { + "epoch": 0.99, + "learning_rate": 1.444777779515405e-08, + "loss": 3.8366, + "step": 7730 + }, + { + "epoch": 0.99, + "learning_rate": 1.4097574579127748e-08, + "loss": 3.8386, + "step": 7731 + }, + { + "epoch": 0.99, + "learning_rate": 1.3751666729389101e-08, + "loss": 3.9004, + "step": 7732 + }, + { + "epoch": 0.99, + "learning_rate": 1.3410054305404429e-08, + "loss": 3.9864, + "step": 7733 + }, + { + "epoch": 0.99, + "learning_rate": 1.3072737365901755e-08, + "loss": 3.9122, + "step": 7734 + }, + { + "epoch": 0.99, + "learning_rate": 1.2739715968868026e-08, + "loss": 3.9112, + "step": 7735 + }, + { + "epoch": 0.99, + "learning_rate": 1.2410990171554671e-08, + "loss": 3.828, + "step": 7736 + }, + { + "epoch": 0.99, + "learning_rate": 1.2086560030474814e-08, + "loss": 3.8903, + "step": 7737 + }, + { + "epoch": 0.99, + "learning_rate": 1.1766425601397734e-08, + "loss": 3.9114, + "step": 7738 + }, + { + "epoch": 0.99, + "learning_rate": 1.145058693936274e-08, + "loss": 3.8945, + "step": 7739 + }, + { + "epoch": 0.99, + "learning_rate": 1.113904409866251e-08, + "loss": 3.8951, + "step": 7740 + }, + { + "epoch": 0.99, + "learning_rate": 1.0831797132854205e-08, + "loss": 3.9393, + "step": 7741 + }, + { + "epoch": 0.99, + "learning_rate": 1.0528846094762235e-08, + "loss": 3.8868, + "step": 7742 + }, + { + "epoch": 0.99, + "learning_rate": 1.0230191036464387e-08, + "loss": 3.8705, + "step": 7743 + }, + { + "epoch": 0.99, + "learning_rate": 9.93583200930015e-09, + "loss": 3.8998, + "step": 7744 + }, + { + "epoch": 0.99, + "learning_rate": 9.64576906387904e-09, + "loss": 3.9092, + "step": 7745 + }, + { + "epoch": 0.99, + "learning_rate": 9.360002250061172e-09, + "loss": 3.8235, + "step": 7746 + }, + { + "epoch": 0.99, + "learning_rate": 9.078531616976694e-09, + "loss": 3.9732, + "step": 7747 + }, + { + "epoch": 0.99, + "learning_rate": 8.801357213011895e-09, + "loss": 3.8496, + "step": 7748 + }, + { + "epoch": 0.99, + "learning_rate": 8.528479085817554e-09, + "loss": 3.9064, + "step": 7749 + }, + { + "epoch": 0.99, + "learning_rate": 8.259897282303364e-09, + "loss": 3.9475, + "step": 7750 + }, + { + "epoch": 0.99, + "learning_rate": 7.995611848640728e-09, + "loss": 3.8904, + "step": 7751 + }, + { + "epoch": 0.99, + "learning_rate": 7.73562283026552e-09, + "loss": 3.893, + "step": 7752 + }, + { + "epoch": 0.99, + "learning_rate": 7.479930271869774e-09, + "loss": 3.8378, + "step": 7753 + }, + { + "epoch": 0.99, + "learning_rate": 7.228534217415539e-09, + "loss": 3.9358, + "step": 7754 + }, + { + "epoch": 0.99, + "learning_rate": 6.981434710115475e-09, + "loss": 3.9106, + "step": 7755 + }, + { + "epoch": 0.99, + "learning_rate": 6.738631792452266e-09, + "loss": 3.8043, + "step": 7756 + }, + { + "epoch": 0.99, + "learning_rate": 6.500125506161969e-09, + "loss": 3.9652, + "step": 7757 + }, + { + "epoch": 0.99, + "learning_rate": 6.265915892253449e-09, + "loss": 3.8252, + "step": 7758 + }, + { + "epoch": 0.99, + "learning_rate": 6.036002990983392e-09, + "loss": 3.8128, + "step": 7759 + }, + { + "epoch": 0.99, + "learning_rate": 5.810386841878512e-09, + "loss": 3.8777, + "step": 7760 + }, + { + "epoch": 0.99, + "learning_rate": 5.589067483727229e-09, + "loss": 3.9905, + "step": 7761 + }, + { + "epoch": 0.99, + "learning_rate": 5.3720449545768825e-09, + "loss": 4.0063, + "step": 7762 + }, + { + "epoch": 0.99, + "learning_rate": 5.159319291733744e-09, + "loss": 3.8579, + "step": 7763 + }, + { + "epoch": 0.99, + "learning_rate": 4.950890531765784e-09, + "loss": 3.9357, + "step": 7764 + }, + { + "epoch": 0.99, + "learning_rate": 4.746758710511001e-09, + "loss": 3.9725, + "step": 7765 + }, + { + "epoch": 0.99, + "learning_rate": 4.546923863055219e-09, + "loss": 3.8536, + "step": 7766 + }, + { + "epoch": 0.99, + "learning_rate": 4.351386023757065e-09, + "loss": 3.91, + "step": 7767 + }, + { + "epoch": 0.99, + "learning_rate": 4.1601452262313155e-09, + "loss": 3.8857, + "step": 7768 + }, + { + "epoch": 0.99, + "learning_rate": 3.973201503351675e-09, + "loss": 3.9298, + "step": 7769 + }, + { + "epoch": 0.99, + "learning_rate": 3.790554887256326e-09, + "loss": 3.8274, + "step": 7770 + }, + { + "epoch": 0.99, + "learning_rate": 3.612205409347924e-09, + "loss": 3.8866, + "step": 7771 + }, + { + "epoch": 0.99, + "learning_rate": 3.438153100282504e-09, + "loss": 3.8667, + "step": 7772 + }, + { + "epoch": 0.99, + "learning_rate": 3.2683979899833517e-09, + "loss": 3.7872, + "step": 7773 + }, + { + "epoch": 1.0, + "learning_rate": 3.102940107635455e-09, + "loss": 3.8644, + "step": 7774 + }, + { + "epoch": 1.0, + "learning_rate": 2.9417794816799516e-09, + "loss": 3.8236, + "step": 7775 + }, + { + "epoch": 1.0, + "learning_rate": 2.7849161398224578e-09, + "loss": 3.8072, + "step": 7776 + }, + { + "epoch": 1.0, + "learning_rate": 2.632350109033066e-09, + "loss": 3.8454, + "step": 7777 + }, + { + "epoch": 1.0, + "learning_rate": 2.4840814155352443e-09, + "loss": 3.7741, + "step": 7778 + }, + { + "epoch": 1.0, + "learning_rate": 2.3401100848197135e-09, + "loss": 3.8391, + "step": 7779 + }, + { + "epoch": 1.0, + "learning_rate": 2.2004361416361195e-09, + "loss": 3.9066, + "step": 7780 + }, + { + "epoch": 1.0, + "learning_rate": 2.0650596099985876e-09, + "loss": 3.883, + "step": 7781 + }, + { + "epoch": 1.0, + "learning_rate": 1.9339805131773914e-09, + "loss": 3.8049, + "step": 7782 + }, + { + "epoch": 1.0, + "learning_rate": 1.8071988737100588e-09, + "loss": 3.8152, + "step": 7783 + }, + { + "epoch": 1.0, + "learning_rate": 1.6847147133847163e-09, + "loss": 3.9064, + "step": 7784 + }, + { + "epoch": 1.0, + "learning_rate": 1.5665280532650706e-09, + "loss": 3.8532, + "step": 7785 + }, + { + "epoch": 1.0, + "learning_rate": 1.4526389136654273e-09, + "loss": 3.9709, + "step": 7786 + }, + { + "epoch": 1.0, + "learning_rate": 1.3430473141645695e-09, + "loss": 3.897, + "step": 7787 + }, + { + "epoch": 1.0, + "learning_rate": 1.2377532736057573e-09, + "loss": 3.8906, + "step": 7788 + }, + { + "epoch": 1.0, + "learning_rate": 1.1367568100856262e-09, + "loss": 3.8726, + "step": 7789 + }, + { + "epoch": 1.0, + "learning_rate": 1.0400579409680645e-09, + "loss": 3.8072, + "step": 7790 + }, + { + "epoch": 1.0, + "learning_rate": 9.476566828786614e-10, + "loss": 3.836, + "step": 7791 + }, + { + "epoch": 1.0, + "learning_rate": 8.595530516991578e-10, + "loss": 3.8117, + "step": 7792 + }, + { + "epoch": 1.0, + "learning_rate": 7.757470625785468e-10, + "loss": 3.8902, + "step": 7793 + }, + { + "epoch": 1.0, + "learning_rate": 6.962387299219719e-10, + "loss": 4.0, + "step": 7794 + }, + { + "epoch": 1.0, + "learning_rate": 6.210280674018298e-10, + "loss": 3.8189, + "step": 7795 + }, + { + "epoch": 1.0, + "learning_rate": 5.501150879411165e-10, + "loss": 4.0116, + "step": 7796 + }, + { + "epoch": 1.0, + "learning_rate": 4.83499803735632e-10, + "loss": 3.8731, + "step": 7797 + }, + { + "epoch": 1.0, + "learning_rate": 4.2118222623455106e-10, + "loss": 3.8599, + "step": 7798 + }, + { + "epoch": 1.0, + "learning_rate": 3.6316236615430155e-10, + "loss": 3.865, + "step": 7799 + }, + { + "epoch": 1.0, + "learning_rate": 3.094402334674618e-10, + "loss": 3.7706, + "step": 7800 + }, + { + "epoch": 1.0, + "learning_rate": 2.6001583740553614e-10, + "loss": 3.9518, + "step": 7801 + }, + { + "epoch": 1.0, + "learning_rate": 2.1488918647283306e-10, + "loss": 3.9183, + "step": 7802 + }, + { + "epoch": 1.0, + "learning_rate": 1.7406028842148482e-10, + "loss": 3.9306, + "step": 7803 + }, + { + "epoch": 1.0, + "learning_rate": 1.3752915027087642e-10, + "loss": 3.9142, + "step": 7804 + }, + { + "epoch": 1.0, + "learning_rate": 1.0529577830209469e-10, + "loss": 3.8663, + "step": 7805 + }, + { + "epoch": 1.0, + "learning_rate": 7.736017805792806e-11, + "loss": 3.9293, + "step": 7806 + }, + { + "epoch": 1.0, + "learning_rate": 5.3722354340091094e-11, + "loss": 3.9096, + "step": 7807 + }, + { + "epoch": 1.0, + "learning_rate": 3.438231120922453e-11, + "loss": 3.9686, + "step": 7808 + }, + { + "epoch": 1.0, + "learning_rate": 1.934005199599742e-11, + "loss": 3.7662, + "step": 7809 + }, + { + "epoch": 1.0, + "learning_rate": 8.595579281678312e-12, + "loss": 3.8652, + "step": 7810 + }, + { + "epoch": 1.0, + "learning_rate": 2.1488949120129774e-12, + "loss": 3.8479, + "step": 7811 + }, + { + "epoch": 1.0, + "learning_rate": 0.0, + "loss": 4.0256, + "step": 7812 + }, + { + "epoch": 1.0, + "step": 7812, + "total_flos": 1.4870537719250944e+18, + "train_loss": 4.018061516410683, + "train_runtime": 34130.3967, + "train_samples_per_second": 58.599, + "train_steps_per_second": 0.229 + } + ], + "logging_steps": 1.0, + "max_steps": 7812, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 24000, + "total_flos": 1.4870537719250944e+18, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +}